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apache/incubator-mxnet
example/gluon/lipnet/utils/preprocess_data.py
Video.process_frames_mouth
def process_frames_mouth(self, frames): """ Preprocess from frames using mouth detector """ self.face = np.array(frames) self.mouth = np.array(frames) self.set_data(frames)
python
def process_frames_mouth(self, frames): """ Preprocess from frames using mouth detector """ self.face = np.array(frames) self.mouth = np.array(frames) self.set_data(frames)
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Preprocess from frames using mouth detector
[ "Preprocess", "from", "frames", "using", "mouth", "detector" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/lipnet/utils/preprocess_data.py#L118-L124
train
Preprocess from frames using mouth detector
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1862) + chr(111) + chr(0b110011) + '\x34' + chr(1377 - 1322), 50070 - 50062), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b110010) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1110 + 0o51) + chr(0b110011), 18490 - 18482), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(48) + chr(0b10111 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + '\x32' + chr(53) + chr(0b111 + 0o57), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101 + 0o142) + chr(0b110010) + chr(55) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10101 + 0o35) + chr(0b10011 + 0o40) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5766 - 5655) + '\065' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(3483 - 3372) + chr(0b110010 + 0o0) + chr(48) + '\x35', 65203 - 65195), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b11100 + 0o32) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010110 + 0o31) + '\062' + chr(149 - 99), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11100 + 0o26) + chr(0b110100) + chr(2183 - 2135), 0o10), ehT0Px3KOsy9('\x30' + chr(2464 - 2353) + chr(0b110010) + '\x37' + chr(0b110001), 43760 - 43752), ehT0Px3KOsy9(chr(48) + chr(10171 - 10060) + chr(51) + chr(0b100101 + 0o22) + chr(1284 - 1236), 52933 - 52925), ehT0Px3KOsy9(chr(2089 - 2041) + '\x6f' + chr(0b110010) + chr(0b1111 + 0o43), 8), ehT0Px3KOsy9(chr(1262 - 1214) + chr(0b1101111) + '\061' + chr(55) + chr(0b101011 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(441 - 393) + chr(0b1001110 + 0o41) + '\x33' + chr(1108 - 1057) + chr(0b1100 + 0o47), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\063' + chr(50) + chr(0b110 + 0o56), 31774 - 31766), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + '\x37' + chr(0b10100 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(680 - 569) + '\061' + '\x30' + chr(0b110011 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(520 - 470) + chr(0b110110), 1628 - 1620), ehT0Px3KOsy9(chr(2127 - 2079) + chr(0b100010 + 0o115) + '\x31' + chr(999 - 947) + chr(0b110101), 24427 - 24419), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b110010) + chr(2739 - 2686), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(924 - 875) + '\x30' + chr(55), 40574 - 40566), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(2034 - 1983) + '\x32' + chr(0b100110 + 0o21), 0b1000), ehT0Px3KOsy9(chr(48) + chr(540 - 429) + '\x32' + chr(0b110111) + '\060', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\x32' + '\064', 0o10), ehT0Px3KOsy9(chr(1793 - 1745) + chr(0b1011000 + 0o27) + chr(0b1110 + 0o45) + chr(0b1110 + 0o44) + chr(0b1000 + 0o57), 8), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + '\x31' + chr(1425 - 1374) + chr(52), 0o10), ehT0Px3KOsy9(chr(266 - 218) + chr(10954 - 10843) + chr(0b10001 + 0o44) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(50) + chr(49) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(52) + '\x31', 52912 - 52904), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1675 - 1625) + chr(0b110111) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110100) + chr(1582 - 1527), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x37', 0b1000), ehT0Px3KOsy9(chr(60 - 12) + chr(111) + chr(0b101100 + 0o5) + chr(51) + chr(1966 - 1917), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + '\x31' + chr(533 - 483) + chr(0b101 + 0o60), 0o10)][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'\x1d'), chr(0b1100100) + chr(8366 - 8265) + '\x63' + chr(111) + '\x64' + chr(101))(chr(0b1110101) + '\x74' + chr(9047 - 8945) + chr(0b1011 + 0o42) + chr(2307 - 2251)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Ly1F28hhUlgZ(oVre8I6UXc3b, RlRNrq1190ue): oVre8I6UXc3b.zsgLb4TmQV7r = WqUC3KWvYVup.B0ePDhpqxN5n(RlRNrq1190ue) oVre8I6UXc3b.I82JSEKk_8F7 = WqUC3KWvYVup.B0ePDhpqxN5n(RlRNrq1190ue) xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'@\xe8\x93\xca_\xa7\xda\xd9'), chr(0b1100100) + chr(0b1100101) + chr(5300 - 5201) + '\157' + chr(0b10111 + 0o115) + chr(101))(chr(0b110100 + 0o101) + chr(7753 - 7637) + chr(0b1100010 + 0o4) + chr(1443 - 1398) + chr(0b0 + 0o70)))(RlRNrq1190ue)
apache/incubator-mxnet
example/gluon/lipnet/utils/preprocess_data.py
Video.get_frames_mouth
def get_frames_mouth(self, detector, predictor, frames): """ Get frames using mouth crop """ mouth_width = 100 mouth_height = 50 horizontal_pad = 0.19 normalize_ratio = None mouth_frames = [] for frame in frames: dets = detector(frame, 1) shape = None for det in dets: shape = predictor(frame, det) i = -1 if shape is None: # Detector doesn't detect face, just return None return [None] mouth_points = [] for part in shape.parts(): i += 1 if i < 48: # Only take mouth region continue mouth_points.append((part.x, part.y)) np_mouth_points = np.array(mouth_points) mouth_centroid = np.mean(np_mouth_points[:, -2:], axis=0) if normalize_ratio is None: mouth_left = np.min(np_mouth_points[:, :-1]) * (1.0 - horizontal_pad) mouth_right = np.max(np_mouth_points[:, :-1]) * (1.0 + horizontal_pad) normalize_ratio = mouth_width / float(mouth_right - mouth_left) new_img_shape = (int(frame.shape[0] * normalize_ratio), int(frame.shape[1] * normalize_ratio)) resized_img = imresize(frame, new_img_shape) mouth_centroid_norm = mouth_centroid * normalize_ratio mouth_l = int(mouth_centroid_norm[0] - mouth_width / 2) mouth_r = int(mouth_centroid_norm[0] + mouth_width / 2) mouth_t = int(mouth_centroid_norm[1] - mouth_height / 2) mouth_b = int(mouth_centroid_norm[1] + mouth_height / 2) mouth_crop_image = resized_img[mouth_t:mouth_b, mouth_l:mouth_r] mouth_frames.append(mouth_crop_image) return mouth_frames
python
def get_frames_mouth(self, detector, predictor, frames): """ Get frames using mouth crop """ mouth_width = 100 mouth_height = 50 horizontal_pad = 0.19 normalize_ratio = None mouth_frames = [] for frame in frames: dets = detector(frame, 1) shape = None for det in dets: shape = predictor(frame, det) i = -1 if shape is None: # Detector doesn't detect face, just return None return [None] mouth_points = [] for part in shape.parts(): i += 1 if i < 48: # Only take mouth region continue mouth_points.append((part.x, part.y)) np_mouth_points = np.array(mouth_points) mouth_centroid = np.mean(np_mouth_points[:, -2:], axis=0) if normalize_ratio is None: mouth_left = np.min(np_mouth_points[:, :-1]) * (1.0 - horizontal_pad) mouth_right = np.max(np_mouth_points[:, :-1]) * (1.0 + horizontal_pad) normalize_ratio = mouth_width / float(mouth_right - mouth_left) new_img_shape = (int(frame.shape[0] * normalize_ratio), int(frame.shape[1] * normalize_ratio)) resized_img = imresize(frame, new_img_shape) mouth_centroid_norm = mouth_centroid * normalize_ratio mouth_l = int(mouth_centroid_norm[0] - mouth_width / 2) mouth_r = int(mouth_centroid_norm[0] + mouth_width / 2) mouth_t = int(mouth_centroid_norm[1] - mouth_height / 2) mouth_b = int(mouth_centroid_norm[1] + mouth_height / 2) mouth_crop_image = resized_img[mouth_t:mouth_b, mouth_l:mouth_r] mouth_frames.append(mouth_crop_image) return mouth_frames
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Get frames using mouth crop
[ "Get", "frames", "using", "mouth", "crop" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/lipnet/utils/preprocess_data.py#L126-L173
train
Get frames using mouth crop
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b100101 + 0o14) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + chr(0b110010) + '\x36' + '\062', 0o10), ehT0Px3KOsy9(chr(1301 - 1253) + chr(0b1101111) + chr(49) + chr(48) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x37' + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(4861 - 4750) + '\062' + chr(0b0 + 0o61), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(420 - 371) + chr(55) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\065' + chr(457 - 405), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(54) + chr(0b1101 + 0o52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1111 + 0o42) + '\x31' + chr(0b10000 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(0b110111) + chr(0b100010 + 0o21), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\066' + chr(0b110110 + 0o1), 8), ehT0Px3KOsy9(chr(1377 - 1329) + chr(0b1101111) + '\x31' + '\x36' + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10110 + 0o131) + chr(1699 - 1649) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b0 + 0o63) + chr(1838 - 1790) + chr(435 - 383), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + chr(50) + chr(0b110111) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1768 - 1717) + chr(0b101110 + 0o4), 5310 - 5302), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10111 + 0o37) + '\061', 0o10), ehT0Px3KOsy9(chr(1434 - 1386) + '\157' + '\062' + chr(0b110011) + chr(0b110100 + 0o0), 15290 - 15282), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x36' + chr(1627 - 1576), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6032 - 5921) + '\063' + chr(0b1010 + 0o54) + chr(2151 - 2102), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b11100 + 0o27) + chr(788 - 734), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + '\061' + chr(0b100101 + 0o15), 0b1000), ehT0Px3KOsy9(chr(203 - 155) + '\x6f' + chr(0b110001) + chr(2511 - 2456) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1808 - 1760) + '\157' + chr(1343 - 1293) + chr(1561 - 1510) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(780 - 728), 0b1000), ehT0Px3KOsy9(chr(48) + chr(687 - 576) + chr(0b110010) + chr(0b110011) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1071 - 1021) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2443 - 2393) + '\x32' + chr(55), 51974 - 51966), ehT0Px3KOsy9(chr(48) + chr(111) + chr(55) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(52) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(850 - 801) + chr(1184 - 1136) + chr(0b100100 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b101 + 0o61) + chr(0b1111 + 0o46), 0b1000), ehT0Px3KOsy9(chr(1820 - 1772) + '\157' + chr(1958 - 1903) + '\065', 58520 - 58512), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(52) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(2089 - 2041) + chr(0b11001 + 0o126) + chr(51) + chr(0b110011) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1119 - 1071) + '\x6f' + chr(49) + '\x34' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2276 - 2165) + chr(2439 - 2389) + '\x32' + chr(0b100010 + 0o24), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(429 - 379) + chr(0b110110 + 0o0) + chr(487 - 436), 0b1000), ehT0Px3KOsy9(chr(2136 - 2088) + chr(0b1100011 + 0o14) + '\062' + '\067' + chr(51), 8), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + '\x37', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110101) + '\060', 19865 - 19857)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b' '), chr(0b101 + 0o137) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1011110 + 0o27) + chr(0b1110100) + '\146' + '\055' + chr(2696 - 2640)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def qH9jFI6yjinV(oVre8I6UXc3b, WFkjQsJs9H1L, szdN6XyRrpA1, RlRNrq1190ue): fVsL0NGs6dEZ = ehT0Px3KOsy9('\060' + '\157' + chr(1453 - 1404) + '\064' + chr(52), 0b1000) vwGEketT35ab = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(438 - 384) + chr(365 - 315), 11530 - 11522) e4UVhHGy_qeK = 0.19 rqJGi7XyxgKh = None QzEalhCmkWWz = [] for C4IqNNmLfHXB in RlRNrq1190ue: E5zNArgQovxX = WFkjQsJs9H1L(C4IqNNmLfHXB, ehT0Px3KOsy9(chr(728 - 680) + chr(0b110100 + 0o73) + chr(49), 0o10)) nauYfLglTpcb = None for WfUKrzEI6HCc in E5zNArgQovxX: nauYfLglTpcb = szdN6XyRrpA1(C4IqNNmLfHXB, WfUKrzEI6HCc) WVxHKyX45z_L = -ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 8) if nauYfLglTpcb is None: return [None] c7S0vLZZB_dJ = [] for kZUV3FyMs20M in xafqLlk3kkUe(nauYfLglTpcb, xafqLlk3kkUe(SXOLrMavuUCe(b'~\xd30Lb'), '\x64' + chr(0b1100101) + chr(6546 - 6447) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1101010 + 0o12) + chr(0b1100110) + chr(0b101101) + chr(0b1 + 0o67)))(): WVxHKyX45z_L += ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001), 8) if WVxHKyX45z_L < ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1001010 + 0o45) + '\x36' + '\x30', 0b1000): continue xafqLlk3kkUe(c7S0vLZZB_dJ, xafqLlk3kkUe(SXOLrMavuUCe(b'o\xc22]\x7f\x1b'), chr(100) + chr(101) + '\143' + '\157' + chr(0b1001011 + 0o31) + chr(0b11001 + 0o114))('\x75' + '\x74' + chr(6879 - 6777) + chr(143 - 98) + chr(0b11 + 0o65)))((xafqLlk3kkUe(kZUV3FyMs20M, xafqLlk3kkUe(SXOLrMavuUCe(b'A\xd7\x15o!9\x1d\x93\tk\xa5%'), chr(2127 - 2027) + chr(9682 - 9581) + '\143' + chr(11112 - 11001) + '\x64' + chr(5774 - 5673))(chr(0b1001101 + 0o50) + chr(0b1110100) + '\x66' + chr(0b10101 + 0o30) + chr(2995 - 2939))), xafqLlk3kkUe(kZUV3FyMs20M, xafqLlk3kkUe(SXOLrMavuUCe(b']\xc3+k^\x0bu\xb8:t\xbd<'), chr(0b101010 + 0o72) + '\x65' + '\143' + chr(111) + '\x64' + chr(101))('\165' + '\x74' + chr(0b1100110) + '\055' + chr(740 - 684))))) kom759TH4GG9 = WqUC3KWvYVup.B0ePDhpqxN5n(c7S0vLZZB_dJ) DaINoYbsyAjj = WqUC3KWvYVup.aJhItC_Vawlw(kom759TH4GG9[:, -ehT0Px3KOsy9(chr(48) + '\x6f' + '\062', 8347 - 8339):], axis=ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + '\x30', ord("\x08"))) if rqJGi7XyxgKh is None: wc3GMB6q3i73 = WqUC3KWvYVup.Dx22bkKPdt5d(kom759TH4GG9[:, :-ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001), 8)]) * (1.0 - e4UVhHGy_qeK) detQTfhu87qF = WqUC3KWvYVup.tsdjvlgh9gDP(kom759TH4GG9[:, :-ehT0Px3KOsy9(chr(590 - 542) + chr(0b1101111) + chr(0b11011 + 0o26), 8)]) * (1.0 + e4UVhHGy_qeK) rqJGi7XyxgKh = fVsL0NGs6dEZ / kkSX4ccExqw4(detQTfhu87qF - wc3GMB6q3i73) TONvSE0ASfCL = (ehT0Px3KOsy9(C4IqNNmLfHXB.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(1943 - 1832) + chr(216 - 168), 8)] * rqJGi7XyxgKh), ehT0Px3KOsy9(C4IqNNmLfHXB.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(9248 - 9137) + '\061', 8)] * rqJGi7XyxgKh)) muzPDpVr1A3r = XI8dSiwB88HV(C4IqNNmLfHXB, TONvSE0ASfCL) YzgnWdDFlf19 = DaINoYbsyAjj * rqJGi7XyxgKh Nh02YzSgeowp = ehT0Px3KOsy9(YzgnWdDFlf19[ehT0Px3KOsy9('\060' + chr(4262 - 4151) + chr(0b0 + 0o60), 8)] - fVsL0NGs6dEZ / ehT0Px3KOsy9(chr(0b110000) + chr(391 - 280) + '\x32', 8)) eYZQqRoNdTX4 = ehT0Px3KOsy9(YzgnWdDFlf19[ehT0Px3KOsy9(chr(0b110000) + chr(9700 - 9589) + chr(2116 - 2068), 8)] + fVsL0NGs6dEZ / ehT0Px3KOsy9(chr(48) + chr(9451 - 9340) + chr(124 - 74), 8)) Ih0YZ8FwUBky = ehT0Px3KOsy9(YzgnWdDFlf19[ehT0Px3KOsy9('\x30' + '\157' + chr(49), 8)] - vwGEketT35ab / ehT0Px3KOsy9('\x30' + chr(111) + chr(50), 8)) nR2lhulv4zfR = ehT0Px3KOsy9(YzgnWdDFlf19[ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + '\061', 8)] + vwGEketT35ab / ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(50), 8)) X5zCjZmF0KNn = muzPDpVr1A3r[Ih0YZ8FwUBky:nR2lhulv4zfR, Nh02YzSgeowp:eYZQqRoNdTX4] xafqLlk3kkUe(QzEalhCmkWWz, xafqLlk3kkUe(SXOLrMavuUCe(b'o\xc22]\x7f\x1b'), chr(0b111101 + 0o47) + chr(6064 - 5963) + chr(99) + '\157' + chr(100) + chr(0b1011001 + 0o14))('\x75' + chr(116) + chr(1249 - 1147) + chr(0b100 + 0o51) + '\x38'))(X5zCjZmF0KNn) return QzEalhCmkWWz
apache/incubator-mxnet
example/gluon/lipnet/utils/preprocess_data.py
Video.get_video_frames
def get_video_frames(self, path): """ Get video frames """ videogen = skvideo.io.vreader(path) frames = np.array([frame for frame in videogen]) return frames
python
def get_video_frames(self, path): """ Get video frames """ videogen = skvideo.io.vreader(path) frames = np.array([frame for frame in videogen]) return frames
[ "def", "get_video_frames", "(", "self", ",", "path", ")", ":", "videogen", "=", "skvideo", ".", "io", ".", "vreader", "(", "path", ")", "frames", "=", "np", ".", "array", "(", "[", "frame", "for", "frame", "in", "videogen", "]", ")", "return", "frames" ]
Get video frames
[ "Get", "video", "frames" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/lipnet/utils/preprocess_data.py#L175-L181
train
Get video frames from skvideo. io. vreader
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(445 - 397) + '\x6f' + '\x32' + chr(48) + chr(0b11010 + 0o26), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\064' + chr(0b100100 + 0o23), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000 + 0o147) + chr(51) + chr(1189 - 1135) + chr(55), 16651 - 16643), ehT0Px3KOsy9(chr(48) + '\157' + '\x34' + '\062', 0o10), ehT0Px3KOsy9(chr(1802 - 1754) + chr(111) + chr(0b10110 + 0o35) + '\064' + '\x31', 55933 - 55925), ehT0Px3KOsy9('\x30' + chr(7868 - 7757) + chr(0b110011) + '\x35' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\060' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10111 + 0o130) + chr(738 - 688) + chr(0b110010) + chr(0b110000), 25418 - 25410), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\x34' + chr(2172 - 2124), 14134 - 14126), ehT0Px3KOsy9('\060' + '\157' + chr(0b101011 + 0o7) + chr(0b110110) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1000 + 0o52) + chr(54) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b101010 + 0o7) + chr(0b101100 + 0o12) + chr(681 - 630), 11974 - 11966), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + '\x31' + chr(0b10110 + 0o32) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + chr(49) + chr(0b100 + 0o56) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8002 - 7891) + chr(88 - 35) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1694 - 1646) + '\157' + chr(0b100000 + 0o21) + chr(48) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\060' + '\064', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b1011 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(180 - 132) + chr(0b1101111) + '\x31' + chr(54) + chr(0b1011 + 0o45), 0o10), ehT0Px3KOsy9('\x30' + chr(6406 - 6295) + chr(1403 - 1351) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b100001 + 0o20) + '\x37', 33174 - 33166), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10110 + 0o34) + '\x36' + chr(0b1110 + 0o45), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1100 + 0o53) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1380 - 1332) + '\157' + '\063' + chr(0b100101 + 0o15) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1100 + 0o46) + chr(0b110001), 55601 - 55593), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b110110) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8528 - 8417) + chr(0b1111 + 0o42) + chr(0b110101) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(9933 - 9822) + '\063' + chr(48) + chr(0b100111 + 0o12), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2521 - 2410) + chr(49) + '\x37' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(10176 - 10065) + chr(1172 - 1123) + chr(0b110101 + 0o2) + chr(0b1100 + 0o45), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(319 - 264) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b0 + 0o157) + '\061' + chr(0b1001 + 0o55) + '\060', 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(0b110111), 10524 - 10516), ehT0Px3KOsy9(chr(1654 - 1606) + chr(0b10010 + 0o135) + chr(2048 - 1999) + '\066' + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\063' + chr(0b110010) + chr(0b11111 + 0o23), 26347 - 26339), ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + chr(0b110011) + chr(55) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(702 - 653) + '\065' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(969 - 918) + chr(0b110 + 0o61) + chr(0b100001 + 0o24), 0o10), ehT0Px3KOsy9(chr(1850 - 1802) + chr(111) + chr(0b110000 + 0o2) + '\062' + chr(52), 16973 - 16965), ehT0Px3KOsy9(chr(0b110000) + chr(3330 - 3219) + '\x31' + chr(0b1111 + 0o42) + chr(0b110011), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(0b110101) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xae'), chr(450 - 350) + chr(0b1100101) + '\143' + '\157' + chr(5118 - 5018) + chr(3797 - 3696))('\165' + '\164' + chr(7433 - 7331) + '\x2d' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def qkiE2OIo_RsX(oVre8I6UXc3b, EaCjyhZptSer): BwsDzSZVnNZ_ = mG49rpBJKwwr.io.vreader(EaCjyhZptSer) RlRNrq1190ue = WqUC3KWvYVup.B0ePDhpqxN5n([C4IqNNmLfHXB for C4IqNNmLfHXB in BwsDzSZVnNZ_]) return RlRNrq1190ue
apache/incubator-mxnet
example/gluon/lipnet/utils/preprocess_data.py
Video.set_data
def set_data(self, frames): """ Prepare the input of model """ data_frames = [] for frame in frames: #frame H x W x C frame = frame.swapaxes(0, 1) # swap width and height to form format W x H x C if len(frame.shape) < 3: frame = np.array([frame]).swapaxes(0, 2).swapaxes(0, 1) # Add grayscale channel data_frames.append(frame) frames_n = len(data_frames) data_frames = np.array(data_frames) # T x W x H x C data_frames = np.rollaxis(data_frames, 3) # C x T x W x H data_frames = data_frames.swapaxes(2, 3) # C x T x H x W = NCDHW self.data = data_frames self.length = frames_n
python
def set_data(self, frames): """ Prepare the input of model """ data_frames = [] for frame in frames: #frame H x W x C frame = frame.swapaxes(0, 1) # swap width and height to form format W x H x C if len(frame.shape) < 3: frame = np.array([frame]).swapaxes(0, 2).swapaxes(0, 1) # Add grayscale channel data_frames.append(frame) frames_n = len(data_frames) data_frames = np.array(data_frames) # T x W x H x C data_frames = np.rollaxis(data_frames, 3) # C x T x W x H data_frames = data_frames.swapaxes(2, 3) # C x T x H x W = NCDHW self.data = data_frames self.length = frames_n
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Prepare the input of model
[ "Prepare", "the", "input", "of", "model" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/lipnet/utils/preprocess_data.py#L183-L200
train
Prepare the input of 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(1398 - 1350) + chr(4614 - 4503) + chr(0b110010) + chr(0b0 + 0o65), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(50) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\061' + chr(0b1010 + 0o53), 34469 - 34461), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(55) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100001 + 0o22) + chr(0b110111) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(50) + chr(0b110010) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\x34' + chr(1975 - 1921), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(1325 - 1274) + chr(0b110001) + chr(1100 - 1046), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(49) + '\x32' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8713 - 8602) + '\062' + chr(51), 23724 - 23716), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(2999 - 2888) + '\063' + chr(48) + chr(0b10101 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + '\x31' + chr(0b110101) + chr(517 - 466), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\065' + chr(0b110011), 8), ehT0Px3KOsy9('\x30' + chr(0b1011010 + 0o25) + chr(0b11101 + 0o32) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101011 + 0o10) + '\062' + chr(0b1110 + 0o44), 0o10), ehT0Px3KOsy9(chr(1481 - 1433) + chr(111) + '\x33' + chr(0b110000), 36134 - 36126), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + '\063' + chr(0b10111 + 0o31) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(653 - 602) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(213 - 165) + chr(370 - 259) + chr(0b110111) + chr(0b10110 + 0o35), 8), ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + chr(0b110011) + chr(0b1101 + 0o44) + chr(2653 - 2601), 14151 - 14143), ehT0Px3KOsy9('\060' + '\157' + chr(79 - 29) + '\x32' + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(50) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(50) + chr(1930 - 1880) + chr(1132 - 1078), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1193 - 1141) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\x37' + '\x31', 0o10), ehT0Px3KOsy9(chr(1087 - 1039) + chr(111) + chr(0b100001 + 0o20) + chr(55) + chr(0b11111 + 0o30), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(308 - 259) + chr(0b110111) + chr(0b110001), 8), ehT0Px3KOsy9(chr(48) + chr(138 - 27) + chr(49) + '\x30' + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100011 + 0o16) + chr(2097 - 2048) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b10000 + 0o40) + chr(1871 - 1817), 20025 - 20017), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b110001) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1010 + 0o47) + chr(2169 - 2116) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(1702 - 1653) + '\x35' + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1503 - 1454) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\063' + '\x31', 40988 - 40980), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10441 - 10330) + chr(1213 - 1160) + '\x31', 20735 - 20727), ehT0Px3KOsy9(chr(48) + chr(11696 - 11585) + chr(0b110011) + '\x32' + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + '\067' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010001 + 0o36) + '\063' + chr(518 - 470) + '\x34', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1569 - 1516) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b';'), '\x64' + '\145' + chr(99) + chr(5728 - 5617) + chr(1951 - 1851) + chr(0b101110 + 0o67))(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + chr(1492 - 1436)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def PyBFv2PoIdDl(oVre8I6UXc3b, RlRNrq1190ue): KesqPKLt4C6e = [] for C4IqNNmLfHXB in RlRNrq1190ue: C4IqNNmLfHXB = C4IqNNmLfHXB.swapaxes(ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 14096 - 14088), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2208 - 2159), 52542 - 52534)) if c2A0yzQpDQB3(xafqLlk3kkUe(C4IqNNmLfHXB, xafqLlk3kkUe(SXOLrMavuUCe(b'{\xf3\xb8\xa2\x9b\xd9\x81\xa2\x06c\xa6\t'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b101011 + 0o71) + '\145')('\165' + chr(116) + '\x66' + chr(45) + '\x38'))) < ehT0Px3KOsy9(chr(1916 - 1868) + '\157' + chr(829 - 778), 0b1000): C4IqNNmLfHXB = WqUC3KWvYVup.array([C4IqNNmLfHXB]).swapaxes(ehT0Px3KOsy9('\060' + chr(0b10 + 0o155) + chr(48), 8), ehT0Px3KOsy9(chr(48) + chr(1459 - 1348) + chr(0b11000 + 0o32), 58972 - 58964)).swapaxes(ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(608 - 559), 8)) xafqLlk3kkUe(KesqPKLt4C6e, xafqLlk3kkUe(SXOLrMavuUCe(b't\xe2\xbd\x9e\x93\xf1'), chr(0b111111 + 0o45) + '\145' + chr(0b1100011) + chr(111) + chr(100) + chr(0b110110 + 0o57))('\165' + chr(0b1110 + 0o146) + chr(102) + '\x2d' + chr(2739 - 2683)))(C4IqNNmLfHXB) mON6SjvhLFW0 = c2A0yzQpDQB3(KesqPKLt4C6e) KesqPKLt4C6e = WqUC3KWvYVup.B0ePDhpqxN5n(KesqPKLt4C6e) KesqPKLt4C6e = WqUC3KWvYVup.rollaxis(KesqPKLt4C6e, ehT0Px3KOsy9('\060' + chr(0b110111 + 0o70) + chr(203 - 152), 8)) KesqPKLt4C6e = KesqPKLt4C6e.swapaxes(ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062', 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1110 + 0o141) + chr(0b110011), 8)) oVre8I6UXc3b.ULnjp6D6efFH = KesqPKLt4C6e oVre8I6UXc3b.CHAOgk5VCHH_ = mON6SjvhLFW0
apache/incubator-mxnet
example/speech_recognition/stt_io_bucketingiter.py
BucketSTTIter.reset
def reset(self): """Resets the iterator to the beginning of the data.""" self.curr_idx = 0 random.shuffle(self.idx) for buck in self.data: np.random.shuffle(buck)
python
def reset(self): """Resets the iterator to the beginning of the data.""" self.curr_idx = 0 random.shuffle(self.idx) for buck in self.data: np.random.shuffle(buck)
[ "def", "reset", "(", "self", ")", ":", "self", ".", "curr_idx", "=", "0", "random", ".", "shuffle", "(", "self", ".", "idx", ")", "for", "buck", "in", "self", ".", "data", ":", "np", ".", "random", ".", "shuffle", "(", "buck", ")" ]
Resets the iterator to the beginning of the data.
[ "Resets", "the", "iterator", "to", "the", "beginning", "of", "the", "data", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/speech_recognition/stt_io_bucketingiter.py#L125-L130
train
Resets the iterator to the beginning of the data.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\063' + chr(0b110000), 59115 - 59107), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(1308 - 1253) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1819 - 1771) + chr(1622 - 1511) + chr(1473 - 1422) + chr(1081 - 1033) + chr(1577 - 1529), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b110101) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(49) + chr(0b110100), 43412 - 43404), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(145 - 97) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b110111) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(2621 - 2510) + chr(52) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\060' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(215 - 163) + chr(0b110101), 30762 - 30754), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10101 + 0o36) + chr(53) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5697 - 5586) + chr(50) + chr(1419 - 1365) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1700 - 1650) + '\x33' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(1705 - 1654) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001011 + 0o44) + chr(0b110010) + chr(50) + chr(268 - 218), 0b1000), ehT0Px3KOsy9('\060' + chr(1835 - 1724) + chr(0b110100) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11011 + 0o30) + chr(55) + chr(0b110000), 21847 - 21839), ehT0Px3KOsy9(chr(1640 - 1592) + chr(0b111000 + 0o67) + '\x32' + '\x36' + chr(52), 28822 - 28814), ehT0Px3KOsy9(chr(90 - 42) + '\x6f' + '\063' + chr(49) + chr(0b101010 + 0o13), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + '\062' + chr(291 - 241) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11010 + 0o125) + chr(1442 - 1393) + chr(904 - 849) + '\x37', 59363 - 59355), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(725 - 674) + chr(0b110111), 32669 - 32661), ehT0Px3KOsy9(chr(1542 - 1494) + chr(0b1101111) + chr(0b110010) + chr(50) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + chr(0b110000 + 0o1) + '\x37' + chr(0b110000), 51252 - 51244), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(265 - 217) + '\x6f' + chr(51) + chr(52) + chr(0b110000), 1194 - 1186), ehT0Px3KOsy9('\x30' + chr(1391 - 1280) + chr(49) + chr(54) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(756 - 707) + chr(0b11110 + 0o25) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(1959 - 1911), ord("\x08")), ehT0Px3KOsy9(chr(2116 - 2068) + chr(0b111000 + 0o67) + '\x32' + chr(0b11011 + 0o26) + '\066', 4005 - 3997), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b101101 + 0o3) + chr(2474 - 2419), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110110) + chr(2053 - 1999), 59998 - 59990), ehT0Px3KOsy9(chr(1080 - 1032) + chr(10436 - 10325) + chr(0b110010) + chr(0b110101) + chr(0b100111 + 0o15), 40327 - 40319), ehT0Px3KOsy9('\x30' + chr(2249 - 2138) + '\062' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9202 - 9091) + chr(0b110010) + chr(0b1010 + 0o54) + '\066', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(2247 - 2198) + chr(0b110100) + chr(1383 - 1332), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7181 - 7070) + '\x31' + chr(2519 - 2467) + '\064', 0b1000), ehT0Px3KOsy9(chr(1940 - 1892) + chr(111) + chr(0b110011) + '\x32' + chr(0b11101 + 0o24), 0o10), ehT0Px3KOsy9(chr(805 - 757) + chr(0b1101111) + chr(0b100010 + 0o22) + chr(0b100100 + 0o16), 8), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(2886 - 2831) + chr(53), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + '\x35' + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6'), '\144' + chr(101) + chr(0b1100011) + '\157' + chr(1686 - 1586) + chr(101))(chr(0b101110 + 0o107) + '\x74' + chr(102) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def G0V856pwkJmZ(oVre8I6UXc3b): oVre8I6UXc3b.L4CrZgoBjkR4 = ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + '\060', 0o10) xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'\xebP\xb5\n\xaa\xae\x1c'), '\x64' + chr(101) + chr(0b110011 + 0o60) + chr(4365 - 4254) + '\x64' + '\x65')(chr(0b11 + 0o162) + chr(0b1110100) + chr(9712 - 9610) + '\x2d' + chr(0b100 + 0o64)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1T\xb1\x19\xbf\x9b;\x17\xc8\xcb\x84\xfc'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(117) + '\x74' + chr(6256 - 6154) + '\x2d' + chr(0b101110 + 0o12)))) for kLfQNj3Wf7jr in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcdt\xae\x06\xbc\xf4=\x17\xe4\xc3\xa9\xf9'), '\x64' + chr(0b1100101) + chr(9225 - 9126) + chr(111) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + chr(45) + chr(1294 - 1238))): xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'\xebP\xb5\n\xaa\xae\x1c'), chr(0b1100100) + '\x65' + '\x63' + '\157' + chr(0b100100 + 0o100) + chr(0b1100101))('\x75' + '\164' + chr(102) + chr(45) + '\x38'))(kLfQNj3Wf7jr)
apache/incubator-mxnet
example/speech_recognition/stt_io_bucketingiter.py
BucketSTTIter.next
def next(self): """Returns the next batch of data.""" if self.curr_idx == len(self.idx): raise StopIteration i, j = self.idx[self.curr_idx] self.curr_idx += 1 audio_paths = [] texts = [] for duration, audio_path, text in self.data[i][j:j+self.batch_size]: audio_paths.append(audio_path) texts.append(text) if self.is_first_epoch: data_set = self.datagen.prepare_minibatch(audio_paths, texts, overwrite=True, is_bi_graphemes=self.is_bi_graphemes, seq_length=self.buckets[i], save_feature_as_csvfile=self.save_feature_as_csvfile) else: data_set = self.datagen.prepare_minibatch(audio_paths, texts, overwrite=False, is_bi_graphemes=self.is_bi_graphemes, seq_length=self.buckets[i], save_feature_as_csvfile=self.save_feature_as_csvfile) data_all = [mx.nd.array(data_set['x'])] + self.init_state_arrays label_all = [mx.nd.array(data_set['y'])] self.label = label_all provide_data = [('data', (self.batch_size, self.buckets[i], self.width * self.height))] + self.init_states return mx.io.DataBatch(data_all, label_all, pad=0, bucket_key=self.buckets[i], provide_data=provide_data, provide_label=self.provide_label)
python
def next(self): """Returns the next batch of data.""" if self.curr_idx == len(self.idx): raise StopIteration i, j = self.idx[self.curr_idx] self.curr_idx += 1 audio_paths = [] texts = [] for duration, audio_path, text in self.data[i][j:j+self.batch_size]: audio_paths.append(audio_path) texts.append(text) if self.is_first_epoch: data_set = self.datagen.prepare_minibatch(audio_paths, texts, overwrite=True, is_bi_graphemes=self.is_bi_graphemes, seq_length=self.buckets[i], save_feature_as_csvfile=self.save_feature_as_csvfile) else: data_set = self.datagen.prepare_minibatch(audio_paths, texts, overwrite=False, is_bi_graphemes=self.is_bi_graphemes, seq_length=self.buckets[i], save_feature_as_csvfile=self.save_feature_as_csvfile) data_all = [mx.nd.array(data_set['x'])] + self.init_state_arrays label_all = [mx.nd.array(data_set['y'])] self.label = label_all provide_data = [('data', (self.batch_size, self.buckets[i], self.width * self.height))] + self.init_states return mx.io.DataBatch(data_all, label_all, pad=0, bucket_key=self.buckets[i], provide_data=provide_data, provide_label=self.provide_label)
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Returns the next batch of data.
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/speech_recognition/stt_io_bucketingiter.py#L132-L165
train
Returns the next batch 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(0b110000) + '\157' + chr(0b110010) + chr(0b110011) + chr(1485 - 1431), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(2568 - 2517) + chr(0b100100 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b111000 + 0o67) + '\x31' + '\x30' + chr(199 - 148), 43139 - 43131), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100100 + 0o15) + chr(0b110110) + '\x36', 0o10), ehT0Px3KOsy9(chr(1285 - 1237) + '\157' + chr(50) + chr(0b110000 + 0o1) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(582 - 534) + chr(0b1101111) + chr(0b110011) + '\x32' + chr(104 - 51), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110111) + '\064', 47533 - 47525), ehT0Px3KOsy9(chr(0b110000) + chr(11125 - 11014) + chr(51) + chr(0b110101) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + '\x32' + chr(0b110011 + 0o3), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(1901 - 1850) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1221 - 1171) + chr(0b110011) + chr(0b101000 + 0o11), 35625 - 35617), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b110111) + chr(2340 - 2286), 22680 - 22672), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b0 + 0o157) + '\x32' + chr(0b10010 + 0o43) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100111 + 0o10) + '\x33' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b11 + 0o63) + '\x35', 10196 - 10188), ehT0Px3KOsy9(chr(1721 - 1673) + chr(0b1010100 + 0o33) + chr(2087 - 2037) + chr(49) + chr(0b110001 + 0o4), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110110 + 0o71) + chr(0b11011 + 0o26) + chr(0b110101) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + '\063' + '\066', 8), ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + chr(1244 - 1195) + chr(0b110100) + chr(0b100 + 0o57), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b1 + 0o66), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(0b110011) + '\x34' + '\065', 52762 - 52754), ehT0Px3KOsy9(chr(447 - 399) + chr(0b1101111) + '\x33' + '\x35' + chr(0b110111), 1083 - 1075), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1110 + 0o45) + chr(52) + '\x31', 43510 - 43502), ehT0Px3KOsy9(chr(48) + '\157' + chr(53) + chr(0b110011), 47752 - 47744), ehT0Px3KOsy9('\x30' + chr(111) + chr(1049 - 999) + chr(385 - 335) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100010 + 0o17) + '\061', 33108 - 33100), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1110 + 0o141) + chr(2131 - 2082) + chr(55) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\062', 34367 - 34359), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\061' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(2100 - 2051) + chr(0b110100) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(335 - 287) + '\x6f' + chr(0b110010) + chr(53) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(929 - 881) + chr(0b1001 + 0o146) + chr(1841 - 1792) + '\063' + chr(51), 12146 - 12138), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100100 + 0o16) + '\067' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(230 - 180) + chr(0b101010 + 0o13), 8), ehT0Px3KOsy9(chr(852 - 804) + chr(0b110010 + 0o75) + chr(0b110001) + chr(50) + '\061', 27980 - 27972), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2181 - 2130) + '\x37' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(12044 - 11933) + chr(50) + '\063' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(1866 - 1815) + chr(0b11101 + 0o27), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(50) + chr(0b110011), 11581 - 11573), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1760 - 1709) + chr(0b110100) + '\x37', 12697 - 12689)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2172 - 2124) + chr(0b1101111) + '\x35' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0'), chr(9885 - 9785) + chr(1199 - 1098) + chr(0b1100011) + chr(0b111101 + 0o62) + '\x64' + chr(126 - 25))('\165' + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def nSwwHEeM4cxI(oVre8I6UXc3b): if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\xec\x00\x04\xd0\xb2\xd3\xac|v\xcbJ'), chr(100) + chr(7083 - 6982) + chr(5305 - 5206) + chr(0b1101111) + chr(0b110110 + 0o56) + chr(0b1000101 + 0o40))(chr(0b1110101) + chr(9910 - 9794) + chr(0b100110 + 0o100) + '\055' + '\070')) == c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xb42\x03\xf9\x8c\xfe\xd8_s\xf23'), chr(4810 - 4710) + '\145' + '\143' + chr(0b1000010 + 0o55) + '\144' + '\x65')('\x75' + chr(0b1010111 + 0o35) + '\x66' + '\055' + chr(0b111 + 0o61)))): raise hr2QaoivbFQ2 (WVxHKyX45z_L, tlORBuYsiw3X) = oVre8I6UXc3b.YlqusYB6InkM[oVre8I6UXc3b.L4CrZgoBjkR4] oVre8I6UXc3b.L4CrZgoBjkR4 += ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', 62947 - 62939) X9vWnL47CueB = [] qEEOZdZZaFyI = [] for (AW3Z20f3DKFA, LXRj4N08M8th, Ah1rInvg48Hb) in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\x94-\x1c\xfa\xe3\xf8\xd8s{\xdf6'), chr(100) + chr(101) + chr(99) + chr(10513 - 10402) + chr(0b1100100) + chr(1492 - 1391))(chr(0b1011011 + 0o32) + '\x74' + chr(0b1100110) + chr(1725 - 1680) + chr(900 - 844)))[WVxHKyX45z_L][tlORBuYsiw3X:tlORBuYsiw3X + xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"\xf7\xa0z\x12\xd0\xac\xd9\xaf{H\xe1'"), '\144' + '\145' + '\143' + chr(2747 - 2636) + chr(0b100001 + 0o103) + chr(10001 - 9900))(chr(117) + chr(116) + '\x66' + chr(45) + '\x38'))]: xafqLlk3kkUe(X9vWnL47CueB, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xa83\x13\xe4\xb1'), '\144' + '\145' + chr(0b111 + 0o134) + '\x6f' + chr(0b1110 + 0o126) + '\145')('\x75' + '\164' + chr(0b1100110) + chr(0b100000 + 0o15) + chr(0b101000 + 0o20)))(LXRj4N08M8th) xafqLlk3kkUe(qEEOZdZZaFyI, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xa83\x13\xe4\xb1'), chr(3705 - 3605) + chr(0b100101 + 0o100) + '\143' + '\x6f' + chr(0b1100100) + '\145')(chr(0b1110101) + '\x74' + chr(9012 - 8910) + chr(45) + chr(56)))(Ah1rInvg48Hb) if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\xab\x1c\x10\xe3\xa7\xcf\x9aIx\xe9\x11\xc8v'), chr(6758 - 6658) + chr(101) + '\x63' + '\x6f' + '\144' + '\x65')('\x75' + chr(0b101110 + 0o106) + chr(0b1011110 + 0o10) + '\055' + '\070')): Ho_u9K_PwYkN = oVre8I6UXc3b.datagen.prepare_minibatch(X9vWnL47CueB, qEEOZdZZaFyI, overwrite=ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + '\x31', 8), is_bi_graphemes=oVre8I6UXc3b.is_bi_graphemes, seq_length=oVre8I6UXc3b.buckets[WVxHKyX45z_L], save_feature_as_csvfile=oVre8I6UXc3b.save_feature_as_csvfile) else: Ho_u9K_PwYkN = oVre8I6UXc3b.datagen.prepare_minibatch(X9vWnL47CueB, qEEOZdZZaFyI, overwrite=ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + chr(0b101000 + 0o10), 27037 - 27029), is_bi_graphemes=oVre8I6UXc3b.is_bi_graphemes, seq_length=oVre8I6UXc3b.buckets[WVxHKyX45z_L], save_feature_as_csvfile=oVre8I6UXc3b.save_feature_as_csvfile) bmz6aAvXhz8l = [CIVheOt0RKQX.nd.B0ePDhpqxN5n(Ho_u9K_PwYkN[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6'), chr(0b100010 + 0o102) + '\x65' + chr(99) + chr(2285 - 2174) + chr(0b1100100) + chr(101))(chr(13215 - 13098) + '\164' + '\146' + chr(45) + '\x38')])] + oVre8I6UXc3b.init_state_arrays jhAeMU_gmeKS = [CIVheOt0RKQX.nd.B0ePDhpqxN5n(Ho_u9K_PwYkN[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7'), '\144' + chr(0b1000 + 0o135) + chr(99) + '\157' + chr(100) + chr(0b10100 + 0o121))('\165' + '\164' + '\x66' + chr(45) + chr(1282 - 1226))])] oVre8I6UXc3b.TRUOLFLuD08x = jhAeMU_gmeKS W_4juOjmKyw_ = [(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xb97\x17'), chr(100) + chr(3036 - 2935) + chr(99) + chr(4586 - 4475) + chr(100) + chr(5562 - 5461))('\165' + chr(0b1110100) + chr(0b110000 + 0o66) + chr(0b0 + 0o55) + chr(56)), (oVre8I6UXc3b.ix9dZyeAmUxY, oVre8I6UXc3b.buckets[WVxHKyX45z_L], oVre8I6UXc3b.mPx09rBTrGXR * oVre8I6UXc3b.ehbUULKuygfC))] + oVre8I6UXc3b.init_states return xafqLlk3kkUe(CIVheOt0RKQX.io, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xb97\x17\xc8\xb4\xc8\x8d~'), '\144' + '\x65' + '\x63' + chr(0b1101111) + '\x64' + '\x65')('\165' + chr(116) + chr(102) + '\055' + chr(56)))(bmz6aAvXhz8l, jhAeMU_gmeKS, pad=ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + '\060', 8), bucket_key=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\xad \x1d\xef\xa1\xcf'), '\144' + chr(101) + chr(0b1000101 + 0o36) + chr(0b1101111) + '\x64' + chr(101))('\165' + chr(1409 - 1293) + '\146' + chr(0b100111 + 0o6) + chr(1062 - 1006)))[WVxHKyX45z_L], provide_data=W_4juOjmKyw_, provide_label=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\xb4s:\xe8\x90\xd4\xdd`|\xd0N'), '\x64' + chr(101) + chr(7335 - 7236) + '\157' + '\x64' + chr(2575 - 2474))(chr(0b1110101) + chr(116) + '\146' + chr(1793 - 1748) + chr(0b111000))))
apache/incubator-mxnet
example/gluon/style_transfer/utils.py
subtract_imagenet_mean_preprocess_batch
def subtract_imagenet_mean_preprocess_batch(batch): """Subtract ImageNet mean pixel-wise from a BGR image.""" batch = F.swapaxes(batch,0, 1) (r, g, b) = F.split(batch, num_outputs=3, axis=0) r = r - 123.680 g = g - 116.779 b = b - 103.939 batch = F.concat(b, g, r, dim=0) batch = F.swapaxes(batch,0, 1) return batch
python
def subtract_imagenet_mean_preprocess_batch(batch): """Subtract ImageNet mean pixel-wise from a BGR image.""" batch = F.swapaxes(batch,0, 1) (r, g, b) = F.split(batch, num_outputs=3, axis=0) r = r - 123.680 g = g - 116.779 b = b - 103.939 batch = F.concat(b, g, r, dim=0) batch = F.swapaxes(batch,0, 1) return batch
[ "def", "subtract_imagenet_mean_preprocess_batch", "(", "batch", ")", ":", "batch", "=", "F", ".", "swapaxes", "(", "batch", ",", "0", ",", "1", ")", "(", "r", ",", "g", ",", "b", ")", "=", "F", ".", "split", "(", "batch", ",", "num_outputs", "=", "3", ",", "axis", "=", "0", ")", "r", "=", "r", "-", "123.680", "g", "=", "g", "-", "116.779", "b", "=", "b", "-", "103.939", "batch", "=", "F", ".", "concat", "(", "b", ",", "g", ",", "r", ",", "dim", "=", "0", ")", "batch", "=", "F", ".", "swapaxes", "(", "batch", ",", "0", ",", "1", ")", "return", "batch" ]
Subtract ImageNet mean pixel-wise from a BGR image.
[ "Subtract", "ImageNet", "mean", "pixel", "-", "wise", "from", "a", "BGR", "image", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/style_transfer/utils.py#L69-L78
train
Subtract ImageNet mean pixel - wise from a BGR 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('\x30' + chr(0b1100101 + 0o12) + '\x31' + chr(0b110111) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110000 + 0o1) + chr(0b110 + 0o57) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(6315 - 6204) + chr(0b110110) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1815 - 1764) + '\063' + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(890 - 835) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(2536 - 2481) + chr(618 - 567), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + '\063' + chr(0b11000 + 0o31) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(55) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11057 - 10946) + chr(0b110010) + chr(0b100 + 0o63) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100001 + 0o116) + chr(0b110010) + chr(0b110100) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + '\063' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + '\x32' + chr(0b1011 + 0o53) + '\x35', 52952 - 52944), ehT0Px3KOsy9(chr(48) + '\157' + chr(1156 - 1107), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(0b110011) + '\x37', 8), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + '\x36' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b100101 + 0o112) + '\062' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(51) + '\x30' + '\x32', 61741 - 61733), ehT0Px3KOsy9(chr(48) + chr(4585 - 4474) + chr(0b110010) + chr(1667 - 1616) + chr(0b100001 + 0o21), 0b1000), ehT0Px3KOsy9(chr(764 - 716) + '\x6f' + chr(2735 - 2681) + chr(0b11 + 0o57), 0b1000), ehT0Px3KOsy9(chr(662 - 614) + '\157' + chr(0b111 + 0o53) + chr(0b110110) + '\066', 0b1000), ehT0Px3KOsy9(chr(558 - 510) + chr(11148 - 11037) + chr(51) + chr(2261 - 2213) + chr(48), 0o10), ehT0Px3KOsy9(chr(2191 - 2143) + '\x6f' + '\061' + '\062' + chr(2218 - 2163), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b10001 + 0o42) + '\065', 40847 - 40839), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110010) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + chr(0b11 + 0o56) + chr(49) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(716 - 668) + '\157' + chr(0b10101 + 0o34) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b1100 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + '\x33' + chr(178 - 130) + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b110100) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + '\061' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b110011) + chr(0b1 + 0o65) + chr(853 - 801), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(345 - 295) + '\064' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\064' + chr(724 - 671), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\066' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(1526 - 1473) + chr(2722 - 2669), 8203 - 8195), ehT0Px3KOsy9(chr(1638 - 1590) + '\157' + '\x32' + '\x32' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(5211 - 5100) + chr(334 - 284) + '\066' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(0b10000 + 0o44) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(593 - 545) + chr(111) + chr(0b110001) + '\061' + chr(803 - 753), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(53) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'V'), chr(3965 - 3865) + '\x65' + '\143' + '\x6f' + '\144' + chr(0b1100101))('\165' + chr(116) + '\x66' + chr(45) + chr(0b10 + 0o66)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def BEYXrO_lnZtB(dNwAahu8tvoY): dNwAahu8tvoY = TFxWKtvJC3ep.swapaxes(dNwAahu8tvoY, ehT0Px3KOsy9('\060' + chr(1775 - 1664) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b110001), 8)) (JWG5qApaeJkp, RWHpzFEeviFP, wmN3dvez4qzC) = TFxWKtvJC3ep.split(dNwAahu8tvoY, num_outputs=ehT0Px3KOsy9(chr(806 - 758) + '\157' + chr(0b110011), 0b1000), axis=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 8)) JWG5qApaeJkp = JWG5qApaeJkp - 123.68 RWHpzFEeviFP = RWHpzFEeviFP - 116.779 wmN3dvez4qzC = wmN3dvez4qzC - 103.939 dNwAahu8tvoY = TFxWKtvJC3ep.concat(wmN3dvez4qzC, RWHpzFEeviFP, JWG5qApaeJkp, dim=ehT0Px3KOsy9('\060' + chr(111) + '\060', 8)) dNwAahu8tvoY = TFxWKtvJC3ep.swapaxes(dNwAahu8tvoY, ehT0Px3KOsy9(chr(159 - 111) + '\x6f' + '\x30', 8), ehT0Px3KOsy9('\060' + chr(111) + '\x31', 8)) return dNwAahu8tvoY
apache/incubator-mxnet
example/gluon/style_transfer/utils.py
imagenet_clamp_batch
def imagenet_clamp_batch(batch, low, high): """ Not necessary in practice """ F.clip(batch[:,0,:,:],low-123.680, high-123.680) F.clip(batch[:,1,:,:],low-116.779, high-116.779) F.clip(batch[:,2,:,:],low-103.939, high-103.939)
python
def imagenet_clamp_batch(batch, low, high): """ Not necessary in practice """ F.clip(batch[:,0,:,:],low-123.680, high-123.680) F.clip(batch[:,1,:,:],low-116.779, high-116.779) F.clip(batch[:,2,:,:],low-103.939, high-103.939)
[ "def", "imagenet_clamp_batch", "(", "batch", ",", "low", ",", "high", ")", ":", "F", ".", "clip", "(", "batch", "[", ":", ",", "0", ",", ":", ",", ":", "]", ",", "low", "-", "123.680", ",", "high", "-", "123.680", ")", "F", ".", "clip", "(", "batch", "[", ":", ",", "1", ",", ":", ",", ":", "]", ",", "low", "-", "116.779", ",", "high", "-", "116.779", ")", "F", ".", "clip", "(", "batch", "[", ":", ",", "2", ",", ":", ",", ":", "]", ",", "low", "-", "103.939", ",", "high", "-", "103.939", ")" ]
Not necessary in practice
[ "Not", "necessary", "in", "practice" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/style_transfer/utils.py#L95-L99
train
Clamp a batch according to the imagenet equation.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(7652 - 7541) + '\062' + '\x33' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(11004 - 10893) + chr(0b10000 + 0o42) + chr(0b110110) + chr(0b110111), 41952 - 41944), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b110111) + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(1803 - 1754) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b100000 + 0o22) + chr(0b111 + 0o53) + '\x32', 53120 - 53112), ehT0Px3KOsy9(chr(678 - 630) + chr(0b1101111) + '\067' + chr(0b110111), 14269 - 14261), ehT0Px3KOsy9('\060' + chr(1569 - 1458) + chr(1764 - 1713) + '\x36' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100111 + 0o13) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(1217 - 1167) + chr(50), 8), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\x33', 64067 - 64059), ehT0Px3KOsy9('\x30' + chr(111) + chr(1523 - 1469) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(269 - 219) + chr(50) + chr(0b110110), 37142 - 37134), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + '\x33' + chr(55) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b110001) + '\061' + chr(1366 - 1318), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(53) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10443 - 10332) + '\x32' + chr(618 - 570) + chr(2355 - 2305), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8445 - 8334) + chr(83 - 34) + chr(1629 - 1579) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101111 + 0o3) + chr(48) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(2192 - 2144) + chr(0b1101 + 0o47), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(54) + chr(1229 - 1174), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10100 + 0o36) + chr(1063 - 1013) + '\062', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101110 + 0o4) + chr(0b110011) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(955 - 907) + chr(0b1100011 + 0o14) + '\063' + '\061' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(491 - 440) + chr(0b110100) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10101 + 0o34) + '\x32' + '\060', 0b1000), ehT0Px3KOsy9(chr(143 - 95) + '\x6f' + chr(0b110010) + chr(0b110110 + 0o1) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(5564 - 5453) + chr(0b110011) + '\060' + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(3320 - 3209) + chr(0b110011) + '\x34' + chr(830 - 779), 0b1000), ehT0Px3KOsy9(chr(1127 - 1079) + chr(0b1101111) + '\x33' + chr(52) + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + chr(9694 - 9583) + chr(779 - 727) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3552 - 3441) + chr(0b110010) + chr(1144 - 1090) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + '\063' + chr(337 - 284), 1133 - 1125), ehT0Px3KOsy9(chr(1847 - 1799) + '\157' + chr(51) + chr(50) + chr(54), 40203 - 40195), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\x33' + chr(0b110101), 57167 - 57159), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + chr(2229 - 2179) + chr(0b110111) + chr(1727 - 1674), 8), ehT0Px3KOsy9(chr(0b110000) + chr(2387 - 2276) + '\x31' + chr(0b110000 + 0o2) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101011 + 0o104) + chr(0b11100 + 0o27) + '\064' + chr(0b110011), 8), ehT0Px3KOsy9('\060' + chr(12237 - 12126) + chr(50) + chr(51) + chr(51), 8), ehT0Px3KOsy9('\060' + chr(4710 - 4599) + '\061' + '\062' + chr(0b100111 + 0o17), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + chr(0b100100 + 0o14), 28590 - 28582)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7'), '\144' + '\x65' + chr(0b1001010 + 0o31) + chr(5449 - 5338) + chr(0b1100100) + '\x65')(chr(2683 - 2566) + '\x74' + '\x66' + chr(0b10111 + 0o26) + chr(0b110000 + 0o10)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def smBE4bPzYJ5P(dNwAahu8tvoY, OFpkgP3q6det, LeZQSeHIwFgX): xafqLlk3kkUe(TFxWKtvJC3ep, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x8f7\x9fS\xffv\x96f\xf7y\x05'), '\x64' + chr(101) + chr(99) + chr(9848 - 9737) + chr(0b100001 + 0o103) + chr(101))(chr(0b1110101) + '\164' + chr(3461 - 3359) + chr(0b101101) + '\070'))(dNwAahu8tvoY[:, ehT0Px3KOsy9('\060' + '\157' + chr(2015 - 1967), 0b1000), :, :], OFpkgP3q6det - 123.68, LeZQSeHIwFgX - 123.68) xafqLlk3kkUe(TFxWKtvJC3ep, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x8f7\x9fS\xffv\x96f\xf7y\x05'), chr(100) + chr(0b100110 + 0o77) + '\x63' + chr(0b1101111) + chr(100) + chr(101))('\x75' + chr(116) + '\146' + '\055' + '\x38'))(dNwAahu8tvoY[:, ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1000 + 0o51), ord("\x08")), :, :], OFpkgP3q6det - 116.779, LeZQSeHIwFgX - 116.779) xafqLlk3kkUe(TFxWKtvJC3ep, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x8f7\x9fS\xffv\x96f\xf7y\x05'), '\144' + chr(101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(102) + chr(0b101011 + 0o2) + chr(0b110110 + 0o2)))(dNwAahu8tvoY[:, ehT0Px3KOsy9(chr(610 - 562) + chr(7307 - 7196) + chr(50), 8), :, :], OFpkgP3q6det - 103.939, LeZQSeHIwFgX - 103.939)
apache/incubator-mxnet
example/svrg_module/api_usage_example/example_inference.py
create_network
def create_network(batch_size, update_freq): """Create a linear regression network for performing SVRG optimization. :return: an instance of mx.io.NDArrayIter :return: an instance of mx.mod.svrgmodule for performing SVRG optimization """ head = '%(asctime)-15s %(message)s' logging.basicConfig(level=logging.INFO, format=head) data = np.random.randint(1, 5, [1000, 2]) #Test_Train data split n_train = int(data.shape[0] * 0.8) weights = np.array([1.0, 2.0]) label = data.dot(weights) di = mx.io.NDArrayIter(data[:n_train, :], label[:n_train], batch_size=batch_size, shuffle=True, label_name='lin_reg_label') val_iter = mx.io.NDArrayIter(data[n_train:, :], label[n_train:], batch_size=batch_size) X = mx.sym.Variable('data') Y = mx.symbol.Variable('lin_reg_label') fully_connected_layer = mx.sym.FullyConnected(data=X, name='fc1', num_hidden=1) lro = mx.sym.LinearRegressionOutput(data=fully_connected_layer, label=Y, name="lro") mod = SVRGModule( symbol=lro, data_names=['data'], label_names=['lin_reg_label'], update_freq=update_freq, logger=logging) return di, val_iter, mod
python
def create_network(batch_size, update_freq): """Create a linear regression network for performing SVRG optimization. :return: an instance of mx.io.NDArrayIter :return: an instance of mx.mod.svrgmodule for performing SVRG optimization """ head = '%(asctime)-15s %(message)s' logging.basicConfig(level=logging.INFO, format=head) data = np.random.randint(1, 5, [1000, 2]) #Test_Train data split n_train = int(data.shape[0] * 0.8) weights = np.array([1.0, 2.0]) label = data.dot(weights) di = mx.io.NDArrayIter(data[:n_train, :], label[:n_train], batch_size=batch_size, shuffle=True, label_name='lin_reg_label') val_iter = mx.io.NDArrayIter(data[n_train:, :], label[n_train:], batch_size=batch_size) X = mx.sym.Variable('data') Y = mx.symbol.Variable('lin_reg_label') fully_connected_layer = mx.sym.FullyConnected(data=X, name='fc1', num_hidden=1) lro = mx.sym.LinearRegressionOutput(data=fully_connected_layer, label=Y, name="lro") mod = SVRGModule( symbol=lro, data_names=['data'], label_names=['lin_reg_label'], update_freq=update_freq, logger=logging) return di, val_iter, mod
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Create a linear regression network for performing SVRG optimization. :return: an instance of mx.io.NDArrayIter :return: an instance of mx.mod.svrgmodule for performing SVRG optimization
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/svrg_module/api_usage_example/example_inference.py#L64-L91
train
Create a linear regression network for performing SVRG optimization.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(1649 - 1600) + chr(1640 - 1591), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(321 - 270) + chr(0b110111) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(2091 - 2043) + chr(111) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(11191 - 11080) + chr(49) + chr(2501 - 2450) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x37' + chr(1071 - 1016), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b110101) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1267 - 1219) + chr(111) + '\061' + chr(53) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(494 - 445) + chr(51) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1020 - 966) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(1912 - 1864) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\067', 11572 - 11564), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(0b100 + 0o55) + '\x32' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + '\067' + chr(53), 47280 - 47272), ehT0Px3KOsy9(chr(2223 - 2175) + chr(1302 - 1191) + chr(2029 - 1979) + chr(0b111 + 0o55) + '\x32', 40982 - 40974), ehT0Px3KOsy9(chr(298 - 250) + chr(0b1101000 + 0o7) + chr(0b110010) + '\x33' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(0b1101 + 0o45) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + '\063' + '\061' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\065' + chr(0b101001 + 0o12), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(7141 - 7030) + chr(55) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(965 - 915) + chr(2577 - 2523) + chr(0b100001 + 0o20), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b101101 + 0o102) + chr(0b11101 + 0o24) + chr(55) + chr(127 - 77), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b110010) + chr(54), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101) + chr(50), 16894 - 16886), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b101101 + 0o7) + '\067', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(131 - 83) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\x30' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\x31' + chr(0b1000 + 0o50), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(392 - 343) + '\062' + chr(1938 - 1889), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(644 - 590) + chr(0b110001 + 0o6), 36507 - 36499), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10101 + 0o42) + '\066', 0o10), ehT0Px3KOsy9(chr(598 - 550) + chr(111) + '\x32' + chr(0b101100 + 0o7) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110111) + chr(0b11010 + 0o33), 51223 - 51215), ehT0Px3KOsy9('\x30' + chr(9685 - 9574) + '\062' + chr(0b1100 + 0o51) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + '\x31' + chr(0b11110 + 0o24) + chr(334 - 284), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010110 + 0o31) + chr(1720 - 1669) + chr(1151 - 1096) + chr(1972 - 1917), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5893 - 5782) + chr(755 - 706) + chr(51) + chr(0b110111), 8), ehT0Px3KOsy9(chr(1534 - 1486) + '\x6f' + chr(1237 - 1187) + '\067' + chr(1719 - 1671), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\x33' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(649 - 597) + '\x37', 40943 - 40935), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(1392 - 1340) + chr(55), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + '\065' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b"'"), chr(0b1100100) + chr(0b101001 + 0o74) + chr(0b1100011) + '\157' + chr(0b10011 + 0o121) + chr(752 - 651))('\165' + chr(5007 - 4891) + chr(0b1100110) + chr(45) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def ABY2q2wEaDQF(ix9dZyeAmUxY, DwguictSjUfw): jTNf3myQ667Q = xafqLlk3kkUe(SXOLrMavuUCe(b',\xd6g,\\\xd9\x036Vk*f\x08\xd1\xb86\xe3\xc6Y\xc2\t7M\xc2\xea\xb7'), chr(2466 - 2366) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b111011 + 0o51) + '\145')(chr(0b111100 + 0o71) + chr(5161 - 5045) + '\x66' + chr(0b101101) + '\x38') xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x9fu6\\\xee\x055U+`'), chr(0b1100000 + 0o4) + chr(0b1100101) + chr(99) + '\x6f' + '\144' + chr(3428 - 3327))(chr(13596 - 13479) + chr(0b11 + 0o161) + chr(102) + '\055' + chr(0b111000)))(level=xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'@\xb0@\x10'), chr(0b1100100) + '\145' + chr(8687 - 8588) + chr(111) + '\144' + chr(4720 - 4619))(chr(0b111000 + 0o75) + chr(0b11010 + 0o132) + chr(3038 - 2936) + '\x2d' + chr(56))), format=jTNf3myQ667Q) ULnjp6D6efFH = WqUC3KWvYVup.random.FXbppO8HYrND(ehT0Px3KOsy9('\060' + chr(111) + chr(49), 34180 - 34172), ehT0Px3KOsy9('\x30' + chr(0b1011001 + 0o26) + chr(2672 - 2619), ord("\x08")), [ehT0Px3KOsy9(chr(48) + '\157' + chr(1112 - 1063) + chr(657 - 602) + chr(2070 - 2017) + chr(0b101110 + 0o2), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062', 58151 - 58143)]) po2sAwtXwdWz = ehT0Px3KOsy9(ULnjp6D6efFH.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(1711 - 1600) + '\x30', 9424 - 9416)] * 0.8) ZurHTci57aXw = WqUC3KWvYVup.B0ePDhpqxN5n([1.0, 2.0]) TRUOLFLuD08x = ULnjp6D6efFH.dot(ZurHTci57aXw) rtMgVFSoy7gl = CIVheOt0RKQX.io.NDArrayIter(ULnjp6D6efFH[:po2sAwtXwdWz, :], TRUOLFLuD08x[:po2sAwtXwdWz], batch_size=ix9dZyeAmUxY, shuffle=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1980 - 1931), 8), label_name=xafqLlk3kkUe(SXOLrMavuUCe(b'e\x97h\x00M\xc8\r\x04_#e2Q'), chr(0b1100100) + '\145' + chr(99) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1011001 + 0o33) + chr(102) + chr(45) + chr(56))) cnvFNmmGlq_n = CIVheOt0RKQX.io.NDArrayIter(ULnjp6D6efFH[po2sAwtXwdWz:, :], TRUOLFLuD08x[po2sAwtXwdWz:], batch_size=ix9dZyeAmUxY) xEgrFJ0REugl = CIVheOt0RKQX.sym.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'm\x9fr>'), chr(9687 - 9587) + '\x65' + chr(969 - 870) + chr(0b11010 + 0o125) + chr(9642 - 9542) + chr(0b1000110 + 0o37))(chr(0b1110101) + chr(116) + chr(0b110010 + 0o64) + chr(45) + chr(1988 - 1932))) cirEqDm6EMgP = CIVheOt0RKQX.symbol.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'e\x97h\x00M\xc8\r\x04_#e2Q'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b1010 + 0o133))(chr(162 - 45) + chr(5188 - 5072) + chr(0b1100001 + 0o5) + chr(45) + '\070')) KFb20OJpc6KN = CIVheOt0RKQX.sym.FullyConnected(data=xEgrFJ0REugl, name=xafqLlk3kkUe(SXOLrMavuUCe(b'o\x9d7'), '\144' + chr(0b111000 + 0o55) + chr(99) + '\157' + chr(0b1100100) + chr(5915 - 5814))('\x75' + chr(12854 - 12738) + chr(0b1011011 + 0o13) + '\055' + chr(317 - 261)), num_hidden=ehT0Px3KOsy9('\x30' + '\x6f' + '\061', 8)) JKz40bM_aRAh = CIVheOt0RKQX.sym.LinearRegressionOutput(data=KFb20OJpc6KN, label=cirEqDm6EMgP, name=xafqLlk3kkUe(SXOLrMavuUCe(b'e\x8ci'), '\x64' + chr(3542 - 3441) + chr(7550 - 7451) + chr(11948 - 11837) + chr(100) + chr(9566 - 9465))('\165' + '\164' + chr(2937 - 2835) + chr(0b101101) + chr(0b11 + 0o65))) JHJR37KvkQhF = IXFuOY4CF6Pu(symbol=JKz40bM_aRAh, data_names=[xafqLlk3kkUe(SXOLrMavuUCe(b'm\x9fr>'), '\x64' + chr(7214 - 7113) + chr(0b1100011) + '\157' + chr(418 - 318) + chr(7746 - 7645))('\165' + chr(0b1110100) + chr(0b1100110) + chr(1581 - 1536) + '\070')], label_names=[xafqLlk3kkUe(SXOLrMavuUCe(b'e\x97h\x00M\xc8\r\x04_#e2Q'), chr(1525 - 1425) + chr(101) + chr(0b100000 + 0o103) + '\x6f' + chr(0b11 + 0o141) + chr(0b110111 + 0o56))(chr(0b11110 + 0o127) + chr(1705 - 1589) + chr(102) + chr(643 - 598) + chr(0b111000))], update_freq=DwguictSjUfw, logger=UeotCCWOPSQS) return (rtMgVFSoy7gl, cnvFNmmGlq_n, JHJR37KvkQhF)
apache/incubator-mxnet
example/gluon/audio/urban_sounds/train.py
evaluate_accuracy
def evaluate_accuracy(data_iterator, net): """Function to evaluate accuracy of any data iterator passed to it as an argument""" acc = mx.metric.Accuracy() for data, label in data_iterator: output = net(data) predictions = nd.argmax(output, axis=1) predictions = predictions.reshape((-1, 1)) acc.update(preds=predictions, labels=label) return acc.get()[1]
python
def evaluate_accuracy(data_iterator, net): """Function to evaluate accuracy of any data iterator passed to it as an argument""" acc = mx.metric.Accuracy() for data, label in data_iterator: output = net(data) predictions = nd.argmax(output, axis=1) predictions = predictions.reshape((-1, 1)) acc.update(preds=predictions, labels=label) return acc.get()[1]
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Function to evaluate accuracy of any data iterator passed to it as an argument
[ "Function", "to", "evaluate", "accuracy", "of", "any", "data", "iterator", "passed", "to", "it", "as", "an", "argument" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/audio/urban_sounds/train.py#L29-L37
train
Function to evaluate accuracy of any data iterator passed to it as an argument
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b100001 + 0o17) + chr(0b11001 + 0o126) + chr(208 - 157) + chr(53) + chr(0b10001 + 0o40), 0b1000), ehT0Px3KOsy9(chr(1504 - 1456) + chr(0b1101111) + chr(50) + chr(0b110000) + chr(2063 - 2012), 0b1000), ehT0Px3KOsy9(chr(1838 - 1790) + '\157' + '\063' + chr(49) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(53) + '\065', 3830 - 3822), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x30' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\x34' + chr(0b1101 + 0o44), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(1422 - 1368) + chr(1989 - 1940), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(6312 - 6201) + chr(89 - 40) + chr(52) + chr(49), 8), ehT0Px3KOsy9('\x30' + chr(1392 - 1281) + chr(0b110011) + '\x31' + chr(1801 - 1748), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\066' + chr(2480 - 2426), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(2254 - 2202) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11 + 0o56), 44953 - 44945), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(8751 - 8640) + '\x31' + chr(0b110010) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\061' + '\067', 0o10), ehT0Px3KOsy9(chr(937 - 889) + '\x6f' + '\062' + chr(1436 - 1386) + '\x37', 22387 - 22379), ehT0Px3KOsy9('\x30' + chr(2105 - 1994) + chr(50) + '\x37' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + '\x35' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7986 - 7875) + chr(1732 - 1682) + chr(0b110100) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + '\062' + '\061' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1409 - 1360) + chr(0b11001 + 0o35) + chr(0b1111 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(171 - 123) + chr(0b11110 + 0o121) + '\061' + chr(549 - 496) + chr(0b110110), 29503 - 29495), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + '\063' + chr(0b110100) + '\x32', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(1382 - 1328) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1346 - 1297) + '\067' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(1606 - 1552) + chr(0b100000 + 0o20), 0b1000), ehT0Px3KOsy9(chr(2303 - 2255) + '\x6f' + chr(0b10000 + 0o42) + chr(0b110111) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + chr(1917 - 1868) + '\x34' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1011 + 0o46) + chr(0b11000 + 0o31), 24022 - 24014), ehT0Px3KOsy9(chr(1526 - 1478) + chr(0b101010 + 0o105) + chr(791 - 741) + chr(49) + '\063', 8), ehT0Px3KOsy9(chr(840 - 792) + chr(0b1101111) + '\x32' + chr(597 - 545) + '\x35', 0o10), ehT0Px3KOsy9(chr(996 - 948) + chr(0b100100 + 0o113) + chr(50) + chr(0b101000 + 0o17) + '\x35', 8), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + '\062' + chr(51) + '\065', 21090 - 21082), ehT0Px3KOsy9(chr(48) + '\157' + chr(1304 - 1254) + chr(0b110 + 0o57), 0o10), ehT0Px3KOsy9(chr(1587 - 1539) + chr(0b1101111) + '\x31' + chr(0b100100 + 0o14) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(782 - 734) + chr(0b1101111) + chr(1478 - 1428) + '\x35' + chr(304 - 251), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b100100 + 0o16) + chr(0b1011 + 0o45), 8), ehT0Px3KOsy9('\060' + chr(0b1001110 + 0o41) + chr(2258 - 2206) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(0b1010 + 0o51) + chr(0b110101) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011010 + 0o25) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(2227 - 2173) + chr(508 - 459), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(923 - 875) + '\x6f' + chr(1948 - 1895) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7'), chr(8526 - 8426) + '\x65' + chr(0b10001 + 0o122) + chr(0b1101111) + '\144' + chr(101))('\165' + '\164' + chr(0b1100110) + '\055' + chr(0b11100 + 0o34)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def b_0s89WePwfs(nWuRsbJzCH9S, DyzboKL9cczb): jIDym3yABcdT = CIVheOt0RKQX.metric.Accuracy() for (ULnjp6D6efFH, TRUOLFLuD08x) in nWuRsbJzCH9S: e1jVqMSBZ01Y = DyzboKL9cczb(ULnjp6D6efFH) qIQi_VFCIFZL = Vy_CFRcuYrTj.argmax(e1jVqMSBZ01Y, axis=ehT0Px3KOsy9(chr(48) + '\157' + chr(49), 8)) qIQi_VFCIFZL = qIQi_VFCIFZL.reshape((-ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + '\061', 8), ehT0Px3KOsy9(chr(1473 - 1425) + '\157' + '\x31', 8))) xafqLlk3kkUe(jIDym3yABcdT, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\xf7\x8d\xa8\xa9/\xfb\x0f\xb4\x82\x871'), chr(0b11001 + 0o113) + chr(101) + chr(0b1000101 + 0o36) + '\157' + chr(0b1100100) + chr(0b1001000 + 0o35))(chr(12517 - 12400) + chr(0b1110100) + chr(102) + chr(0b1101 + 0o40) + '\070'))(preds=qIQi_VFCIFZL, labels=TRUOLFLuD08x) return xafqLlk3kkUe(jIDym3yABcdT, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\xe6\xb8'), chr(100) + chr(0b1100101) + '\x63' + '\157' + chr(0b1100100) + chr(101))(chr(3466 - 3349) + chr(0b1110100) + '\146' + '\055' + chr(0b101011 + 0o15)))()[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11001 + 0o30), 8)]
apache/incubator-mxnet
example/gluon/audio/urban_sounds/train.py
train
def train(train_dir=None, train_csv=None, epochs=30, batch_size=32): """Function responsible for running the training the model.""" if not train_dir or not os.path.exists(train_dir) or not train_csv: warnings.warn("No train directory could be found ") return # Make a dataset from the local folder containing Audio data print("\nMaking an Audio Dataset...\n") tick = time.time() aud_dataset = AudioFolderDataset(train_dir, train_csv=train_csv, file_format='.wav', skip_header=True) tock = time.time() print("Loading the dataset took ", (tock-tick), " seconds.") print("\n=======================================\n") print("Number of output classes = ", len(aud_dataset.synsets)) print("\nThe labels are : \n") print(aud_dataset.synsets) # Get the model to train net = model.get_net(len(aud_dataset.synsets)) print("\nNeural Network = \n") print(net) print("\nModel - Neural Network Generated!\n") print("=======================================\n") #Define the loss - Softmax CE Loss softmax_loss = gluon.loss.SoftmaxCELoss(from_logits=False, sparse_label=True) print("Loss function initialized!\n") print("=======================================\n") #Define the trainer with the optimizer trainer = gluon.Trainer(net.collect_params(), 'adadelta') print("Optimizer - Trainer function initialized!\n") print("=======================================\n") print("Loading the dataset to the Gluon's OOTB Dataloader...") #Getting the data loader out of the AudioDataset and passing the transform from transforms import MFCC aud_transform = MFCC() tick = time.time() audio_train_loader = gluon.data.DataLoader(aud_dataset.transform_first(aud_transform), batch_size=32, shuffle=True) tock = time.time() print("Time taken to load data and apply transform here is ", (tock-tick), " seconds.") print("=======================================\n") print("Starting the training....\n") # Training loop tick = time.time() batch_size = batch_size num_examples = len(aud_dataset) for epoch in range(epochs): cumulative_loss = 0 for data, label in audio_train_loader: with autograd.record(): output = net(data) loss = softmax_loss(output, label) loss.backward() trainer.step(batch_size) cumulative_loss += mx.nd.sum(loss).asscalar() if epoch%5 == 0: train_accuracy = evaluate_accuracy(audio_train_loader, net) print("Epoch {}. Loss: {} Train accuracy : {} ".format(epoch, cumulative_loss/num_examples, train_accuracy)) print("\n------------------------------\n") train_accuracy = evaluate_accuracy(audio_train_loader, net) tock = time.time() print("\nFinal training accuracy: ", train_accuracy) print("Training the sound classification for ", epochs, " epochs, MLP model took ", (tock-tick), " seconds") print("====================== END ======================\n") print("Trying to save the model parameters here...") net.save_parameters("./net.params") print("Saved the model parameters in current directory.")
python
def train(train_dir=None, train_csv=None, epochs=30, batch_size=32): """Function responsible for running the training the model.""" if not train_dir or not os.path.exists(train_dir) or not train_csv: warnings.warn("No train directory could be found ") return # Make a dataset from the local folder containing Audio data print("\nMaking an Audio Dataset...\n") tick = time.time() aud_dataset = AudioFolderDataset(train_dir, train_csv=train_csv, file_format='.wav', skip_header=True) tock = time.time() print("Loading the dataset took ", (tock-tick), " seconds.") print("\n=======================================\n") print("Number of output classes = ", len(aud_dataset.synsets)) print("\nThe labels are : \n") print(aud_dataset.synsets) # Get the model to train net = model.get_net(len(aud_dataset.synsets)) print("\nNeural Network = \n") print(net) print("\nModel - Neural Network Generated!\n") print("=======================================\n") #Define the loss - Softmax CE Loss softmax_loss = gluon.loss.SoftmaxCELoss(from_logits=False, sparse_label=True) print("Loss function initialized!\n") print("=======================================\n") #Define the trainer with the optimizer trainer = gluon.Trainer(net.collect_params(), 'adadelta') print("Optimizer - Trainer function initialized!\n") print("=======================================\n") print("Loading the dataset to the Gluon's OOTB Dataloader...") #Getting the data loader out of the AudioDataset and passing the transform from transforms import MFCC aud_transform = MFCC() tick = time.time() audio_train_loader = gluon.data.DataLoader(aud_dataset.transform_first(aud_transform), batch_size=32, shuffle=True) tock = time.time() print("Time taken to load data and apply transform here is ", (tock-tick), " seconds.") print("=======================================\n") print("Starting the training....\n") # Training loop tick = time.time() batch_size = batch_size num_examples = len(aud_dataset) for epoch in range(epochs): cumulative_loss = 0 for data, label in audio_train_loader: with autograd.record(): output = net(data) loss = softmax_loss(output, label) loss.backward() trainer.step(batch_size) cumulative_loss += mx.nd.sum(loss).asscalar() if epoch%5 == 0: train_accuracy = evaluate_accuracy(audio_train_loader, net) print("Epoch {}. Loss: {} Train accuracy : {} ".format(epoch, cumulative_loss/num_examples, train_accuracy)) print("\n------------------------------\n") train_accuracy = evaluate_accuracy(audio_train_loader, net) tock = time.time() print("\nFinal training accuracy: ", train_accuracy) print("Training the sound classification for ", epochs, " epochs, MLP model took ", (tock-tick), " seconds") print("====================== END ======================\n") print("Trying to save the model parameters here...") net.save_parameters("./net.params") print("Saved the model parameters in current directory.")
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Function responsible for running the training the model.
[ "Function", "responsible", "for", "running", "the", "training", "the", "model", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/audio/urban_sounds/train.py#L40-L117
train
Function responsible for running the training 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('\x30' + chr(111) + chr(0b101010 + 0o10) + chr(0b110110) + chr(2238 - 2185), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b11110 + 0o23) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(62 - 14) + '\x6f' + chr(0b11010 + 0o31) + '\x30' + '\064', 3041 - 3033), ehT0Px3KOsy9(chr(48) + chr(111) + chr(237 - 186) + chr(48) + chr(0b101100 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(0b110 + 0o55) + chr(52) + chr(1214 - 1160), 11782 - 11774), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10111 + 0o36) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(832 - 784) + '\157' + chr(0b110110) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(812 - 764) + chr(11904 - 11793) + '\x33' + chr(48) + chr(0b11111 + 0o23), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101 + 0o142) + chr(51) + '\x36' + '\061', 8521 - 8513), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b101000 + 0o10) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(4788 - 4677) + chr(623 - 572) + chr(0b110101) + chr(121 - 66), 0o10), ehT0Px3KOsy9(chr(48) + chr(2748 - 2637) + chr(0b110010) + chr(1299 - 1247) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10010 + 0o41) + chr(50) + chr(0b100 + 0o55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2225 - 2174) + chr(0b110000) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101011 + 0o10) + '\x36' + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110000) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101011 + 0o7) + chr(51) + chr(0b10111 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1111 + 0o140) + '\062' + chr(48) + chr(1599 - 1551), 48849 - 48841), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(9263 - 9152) + chr(1641 - 1590) + '\x36' + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10110 + 0o40) + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + chr(5231 - 5120) + '\061' + chr(54) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(0b11100 + 0o123) + chr(50) + chr(0b101000 + 0o12) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2309 - 2254) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + chr(0b110011) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b101101 + 0o11) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\063' + chr(313 - 265), 17986 - 17978), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(2092 - 2041), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + '\062' + chr(0b110010 + 0o1) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\x36' + '\x37', 23683 - 23675), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(804 - 754) + chr(0b110011) + chr(49), 0o10), ehT0Px3KOsy9(chr(66 - 18) + chr(111) + chr(0b10101 + 0o36) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + chr(0b110100) + chr(2010 - 1961), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b1111 + 0o46) + '\065', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b11110 + 0o30) + '\x37', 8), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(2543 - 2492) + chr(943 - 894) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(2396 - 2344) + chr(0b110010 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10100 + 0o43), 13320 - 13312), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(0b110010) + chr(49) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(222 - 167) + '\064', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1202 - 1154) + '\157' + chr(163 - 110) + chr(801 - 753), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b'), chr(100) + '\145' + chr(0b100001 + 0o102) + '\x6f' + '\x64' + '\x65')(chr(5952 - 5835) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def e80gRioCjdat(x9cwAbV6Ol7j=None, fWqeuL6Zqx9H=None, xvDB7qObFSrr=ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(1333 - 1279), 8), ix9dZyeAmUxY=ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110100) + '\060', ord("\x08"))): if not x9cwAbV6Ol7j or not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\xf2\xad\xb2\x92X'), '\144' + chr(9260 - 9159) + '\x63' + chr(0b1000110 + 0o51) + chr(100) + chr(0b1100101))(chr(117) + chr(2722 - 2606) + chr(829 - 727) + chr(0b101101) + chr(983 - 927)))(x9cwAbV6Ol7j) or (not fWqeuL6Zqx9H): xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\xce\x81\xaf\xa8iP\xa0\xb7\xca\xa4\xc9'), chr(0b1100100) + chr(101) + chr(99) + chr(0b101001 + 0o106) + chr(0b1100100) + chr(5117 - 5016))(chr(12144 - 12027) + chr(116) + chr(102) + chr(1823 - 1778) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xe5\xe4\xb5\x94JX\xac\xd1\xe0\x86\xd6\xb4\xa0\x85\xaa\xe9\xf9\xd2R\x1d\xe2Wy\x90\xba~\xbe\x91\xf6kO\x89\xd7'), chr(0b1100100) + chr(0b1100101) + chr(7834 - 7735) + chr(5825 - 5714) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100110) + '\x2d' + chr(1110 - 1054))) return zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\xc7\xa5\xaa\x8fEV\xe2\x90\xea\xcf\xe5\xa4\xa7\x98\xaa\xbb\xc4\x93E\x13\xe4^i\x9e\xf65\x94'), chr(584 - 484) + chr(101) + '\x63' + chr(10165 - 10054) + '\144' + chr(101))(chr(0b101111 + 0o106) + chr(116) + '\x66' + chr(45) + chr(0b111000))) nybXfruDMD80 = ltvhPP4VhXre.time() WZrd8TIM5VOh = V6_pEEmvqFfG(x9cwAbV6Ol7j, train_csv=fWqeuL6Zqx9H, file_format=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\xfd\xa5\xb7'), '\144' + chr(0b1100101) + chr(99) + chr(0b1010011 + 0o34) + chr(0b100000 + 0o104) + chr(2672 - 2571))('\x75' + '\164' + '\146' + chr(0b101101) + chr(0b111000)), skip_header=ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + '\061', 37043 - 37035)) Tsq743b6ns4V = ltvhPP4VhXre.time() zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\xe5\xa5\xa5\x8fEV\xe2\x85\xec\x8a\x84\xb5\xa2\x85\xa4\xe8\xe5\x86\x11\x06\xf8Tv\x90'), chr(0b1100100) + '\145' + '\143' + chr(8778 - 8667) + '\x64' + chr(101))(chr(117) + '\x74' + chr(0b1001010 + 0o34) + chr(0b1 + 0o54) + chr(56)), Tsq743b6ns4V - nybXfruDMD80, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\xf9\xa1\xa2\x89EU\xb1\xdf'), chr(8755 - 8655) + '\145' + chr(192 - 93) + chr(0b1 + 0o156) + '\x64' + chr(0b111 + 0o136))(chr(117) + chr(0b1000010 + 0o62) + '\146' + chr(45) + chr(56))) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\xb7\xf9\xfc\xdb\x16\x0c\xff\xcc\xb9\xd2\x99\xec\xfe\xcc\xf8\xa6\xbd\xcf\x0cO\xaa\x06 \x8d\xe5&\xa3\xca\xa4#\x1c\xd0\xca\xf6\xdf=:\xb5\x01\xbf'), chr(6859 - 6759) + chr(0b110 + 0o137) + chr(99) + '\157' + chr(126 - 26) + '\145')('\x75' + chr(116) + chr(0b1100110) + '\x2d' + chr(0b10100 + 0o44))) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xff\xa9\xa3\x83Y\x11\xad\x97\xa4\x80\xd1\xa5\xb3\x84\xb1\xbb\xe3\x9eP\x01\xe4^n\x90\xe5;'), chr(0b100001 + 0o103) + chr(7616 - 7515) + chr(0b111111 + 0o44) + chr(6173 - 6062) + '\x64' + chr(9207 - 9106))(chr(0b10111 + 0o136) + chr(0b1110100) + chr(102) + chr(0b101101) + '\070'), c2A0yzQpDQB3(xafqLlk3kkUe(WZrd8TIM5VOh, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xf3\xaa\xb2\x83_B'), chr(0b1011000 + 0o14) + chr(101) + chr(7613 - 7514) + '\157' + chr(0b1010001 + 0o23) + '\x65')(chr(117) + chr(11291 - 11175) + chr(0b1000110 + 0o40) + '\055' + chr(56))))) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\xde\xac\xa4\xc6GP\xa0\x94\xe8\x9c\x84\xb0\xb1\x94\xe5\xa1\xa0\xf8'), chr(0b1000011 + 0o41) + chr(0b1010001 + 0o24) + chr(0b101 + 0o136) + '\x6f' + chr(722 - 622) + chr(101))('\165' + chr(116) + '\146' + '\x2d' + '\070')) zLUzGokYBM2Z(xafqLlk3kkUe(WZrd8TIM5VOh, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xf3\xaa\xb2\x83_B'), '\144' + chr(9436 - 9335) + chr(99) + '\157' + '\x64' + '\x65')(chr(12977 - 12860) + chr(116) + chr(0b1100110) + '\x2d' + '\070'))) DyzboKL9cczb = FK0vqzZ5gPN6.get_net(c2A0yzQpDQB3(WZrd8TIM5VOh.synsets)) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\xc4\xa1\xb4\x94J]\xe2\xbf\xe1\x9b\xd3\xbe\xb1\x9a\xe5\xa6\xa0\xf8'), chr(1567 - 1467) + chr(0b1100101) + chr(0b1100011) + chr(0b111000 + 0o67) + chr(1242 - 1142) + '\145')('\x75' + chr(116) + '\x66' + chr(0b0 + 0o55) + chr(56))) zLUzGokYBM2Z(DyzboKL9cczb) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\xc7\xab\xa5\x83G\x11\xef\xd1\xca\x8a\xd1\xa3\xa2\x9d\xe5\xd5\xe5\x86F\x1d\xe5P=\xf7\xbdu\xfb\x85\xf8jD\x89\xd6\xc1'), chr(0b111111 + 0o45) + chr(2622 - 2521) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(2795 - 2679) + chr(0b11100 + 0o112) + chr(0b101101) + '\070')) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xb7\xf9\xfc\xdb\x16\x0c\xff\xcc\xb9\xd2\x99\xec\xfe\xcc\xf8\xa6\xbd\xcf\x0cO\xaa\x06 \x8d\xe5&\xa3\xca\xa4#\x1c\xd0\xca\xf6\xdf=:\xb56'), chr(1825 - 1725) + chr(0b1100101) + chr(315 - 216) + chr(111) + '\144' + '\x65')(chr(0b1110101) + chr(116) + chr(0b1100110) + '\055' + chr(743 - 687))) GoYnarIAA11B = Bm3NCCYMMXjd.loss.SoftmaxCELoss(from_logits=ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101100 + 0o4), 8), sparse_label=ehT0Px3KOsy9(chr(0b110000) + chr(3051 - 2940) + chr(0b11011 + 0o26), 8)) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\xe5\xb7\xb2\xc6MD\xac\x92\xf0\x86\xcb\xbf\xe3\x98\xab\xf2\xf4\x9bP\x1e\xfeAx\xd4\xf9\x11'), chr(9736 - 9636) + chr(0b1100101) + '\143' + '\157' + '\x64' + '\145')(chr(10102 - 9985) + chr(0b1110100) + chr(0b1100110) + chr(86 - 41) + chr(56))) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xb7\xf9\xfc\xdb\x16\x0c\xff\xcc\xb9\xd2\x99\xec\xfe\xcc\xf8\xa6\xbd\xcf\x0cO\xaa\x06 \x8d\xe5&\xa3\xca\xa4#\x1c\xd0\xca\xf6\xdf=:\xb56'), chr(0b1101 + 0o127) + chr(101) + chr(0b1010000 + 0o23) + '\x6f' + '\144' + chr(0b1100101))('\165' + chr(116) + chr(0b1100110) + chr(0b10101 + 0o30) + chr(0b101101 + 0o13))) ehTF8dweL_Oo = Bm3NCCYMMXjd.Trainer(DyzboKL9cczb.collect_params(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xee\xa5\xa5\x83GE\xa3'), chr(0b100001 + 0o103) + chr(5032 - 4931) + '\x63' + '\x6f' + chr(0b1100100) + chr(101))(chr(1592 - 1475) + '\164' + '\x66' + chr(169 - 124) + chr(1035 - 979))) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xfa\xb0\xa8\x8bBK\xa7\x83\xa4\xc2\x84\x85\xb1\x90\xac\xf5\xe5\x80\x11\x14\xe2U~\xc4\xb1t\xf0\xd7\xf0pH\x99\x9e\xaa\x8ei}\xedX\x94\x80'), '\144' + chr(0b111110 + 0o47) + chr(0b1100011) + chr(4993 - 4882) + '\144' + chr(6345 - 6244))('\x75' + chr(116) + chr(7500 - 7398) + chr(496 - 451) + chr(2079 - 2023))) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xb7\xf9\xfc\xdb\x16\x0c\xff\xcc\xb9\xd2\x99\xec\xfe\xcc\xf8\xa6\xbd\xcf\x0cO\xaa\x06 \x8d\xe5&\xa3\xca\xa4#\x1c\xd0\xca\xf6\xdf=:\xb56'), chr(1882 - 1782) + chr(1039 - 938) + chr(0b1000101 + 0o36) + chr(0b1000000 + 0o57) + chr(0b1010111 + 0o15) + chr(5487 - 5386))(chr(0b1110101) + '\164' + chr(102) + '\055' + '\070')) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\xe5\xa5\xa5\x8fEV\xe2\x85\xec\x8a\x84\xb5\xa2\x85\xa4\xe8\xe5\x86\x11\x06\xf8\x1bi\xd8\xbd;\xd9\x9b\xecqO\xca\x84\xeb\xadOS\xca\x1c\xf1\xeb\xb0\xa0\x8aDP\xa6\x94\xf6\xc1\x8a\xff'), chr(0b1000101 + 0o37) + chr(9148 - 9047) + chr(0b10101 + 0o116) + '\x6f' + chr(100) + chr(0b1100101))('\x75' + '\x74' + chr(0b1100110) + chr(740 - 695) + chr(56))) (FE3JEx92biva,) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\xf8\xa5\xaf\x95M^\xb0\x9c\xf7'), '\x64' + '\x65' + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\146' + chr(0b1001 + 0o44) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xcc\x87\x82'), chr(0b1100100) + '\145' + '\143' + '\x6f' + '\144' + chr(101))(chr(0b1110101) + '\164' + '\146' + chr(45) + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xcc\x87\x82'), chr(100) + chr(101) + chr(7913 - 7814) + '\157' + chr(8603 - 8503) + chr(0b101000 + 0o75))(chr(0b1110101) + chr(2554 - 2438) + chr(0b1011010 + 0o14) + chr(0b101101) + chr(290 - 234))),) Jw8CxRnOKC8q = FE3JEx92biva() nybXfruDMD80 = ltvhPP4VhXre.time() vSFkIKG17CPU = Bm3NCCYMMXjd.data.DataLoader(WZrd8TIM5VOh.transform_first(Jw8CxRnOKC8q), batch_size=ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(0b1100 + 0o50) + chr(0b100101 + 0o13), 8), shuffle=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 8)) Tsq743b6ns4V = ltvhPP4VhXre.time() zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xe3\xa9\xa4\xc6_P\xa9\x94\xea\xcf\xd0\xbe\xe3\x9d\xaa\xfa\xe4\xd2U\x13\xe3Z=\xd1\xb6\x7f\xbe\x96\xe9nM\x94\xd7\xbf\x90ai\xfbZ\xda\xf8\xa9\xe1\x8eNC\xa7\xd1\xed\x9c\x84'), '\x64' + chr(4592 - 4491) + chr(0b1100011) + chr(5609 - 5498) + chr(100) + chr(0b1100101))(chr(0b1110011 + 0o2) + chr(141 - 25) + chr(7515 - 7413) + '\055' + '\070'), Tsq743b6ns4V - nybXfruDMD80, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\xf9\xa1\xa2\x89EU\xb1\xdf'), chr(0b101110 + 0o66) + chr(0b1100101) + chr(0b1100011) + chr(11756 - 11645) + chr(0b1100011 + 0o1) + chr(0b10100 + 0o121))('\165' + chr(0b110001 + 0o103) + '\146' + '\x2d' + '\x38')) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xb7\xf9\xfc\xdb\x16\x0c\xff\xcc\xb9\xd2\x99\xec\xfe\xcc\xf8\xa6\xbd\xcf\x0cO\xaa\x06 \x8d\xe5&\xa3\xca\xa4#\x1c\xd0\xca\xf6\xdf=:\xb56'), chr(0b11000 + 0o114) + chr(0b111001 + 0o54) + chr(0b1000010 + 0o41) + chr(1676 - 1565) + chr(6493 - 6393) + chr(0b1000101 + 0o40))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(465 - 409))) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xfe\xa5\xb3\x92B_\xa5\xd1\xf0\x87\xc1\xf1\xb7\x83\xa4\xf2\xee\x9b_\x15\xb9\x153\x9e\xd2'), '\144' + chr(0b1001101 + 0o30) + '\143' + chr(111) + chr(0b10010 + 0o122) + chr(0b1 + 0o144))('\x75' + chr(116) + chr(102) + chr(0b101101) + chr(800 - 744))) nybXfruDMD80 = ltvhPP4VhXre.time() ix9dZyeAmUxY = ix9dZyeAmUxY reL9qOBFFFyj = c2A0yzQpDQB3(WZrd8TIM5VOh) for LWTVW06OsTjl in vQr8gNKaIaWE(xvDB7qObFSrr): Z9JeZZILnhQR = ehT0Px3KOsy9('\060' + chr(7004 - 6893) + '\060', 8) for (ULnjp6D6efFH, TRUOLFLuD08x) in vSFkIKG17CPU: with xafqLlk3kkUe(EGX9rjIuh37Q, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xef\xa7\xae\x94O'), chr(0b100110 + 0o76) + '\145' + chr(99) + '\157' + '\x64' + chr(101))(chr(117) + '\164' + chr(0b1100110) + chr(45) + chr(56)))(): e1jVqMSBZ01Y = DyzboKL9cczb(ULnjp6D6efFH) YpO0BcZ6fMsf = GoYnarIAA11B(e1jVqMSBZ01Y, TRUOLFLuD08x) xafqLlk3kkUe(YpO0BcZ6fMsf, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\xeb\xa7\xaa\x91JC\xa6'), chr(9450 - 9350) + '\145' + chr(99) + chr(0b1101111) + '\144' + chr(0b1010 + 0o133))('\x75' + chr(0b100100 + 0o120) + chr(102) + chr(1489 - 1444) + chr(56)))() xafqLlk3kkUe(ehTF8dweL_Oo, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xce\xb1\x87\x95jY\x87\x90\xf0\x8c\xf1'), chr(7648 - 7548) + chr(0b1011010 + 0o13) + '\x63' + chr(0b111110 + 0o61) + chr(0b1100100) + '\x65')(chr(0b1010111 + 0o36) + '\164' + '\x66' + chr(0b101101) + chr(56)))(ix9dZyeAmUxY) Z9JeZZILnhQR += CIVheOt0RKQX.nd.sum(YpO0BcZ6fMsf).asscalar() if LWTVW06OsTjl % ehT0Px3KOsy9('\060' + chr(3194 - 3083) + '\x35', 0b1000) == ehT0Px3KOsy9(chr(1225 - 1177) + '\157' + '\x30', 8): _6weySdLrqSO = b_0s89WePwfs(vSFkIKG17CPU, DyzboKL9cczb) zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xfa\xab\xa2\x8e\x0bJ\xbf\xdf\xa4\xa3\xcb\xa2\xb0\xcb\xe5\xe0\xfd\xd2e\x00\xf6Rs\x90\xb9x\xfd\x82\xeb\x7fB\x94\xd7\xf1\xc2{z\xa8'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b101001 + 0o74))('\165' + chr(0b1000110 + 0o56) + chr(0b1100110) + chr(45) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xbe\xb6\xae\xaeJb\xf1\xa1\xf4\x8a\xce'), chr(100) + chr(0b1100101) + chr(683 - 584) + chr(111) + chr(0b1100100) + chr(101))(chr(0b1011110 + 0o27) + '\164' + chr(102) + chr(667 - 622) + chr(0b111000)))(LWTVW06OsTjl, Z9JeZZILnhQR / reL9qOBFFFyj, _6weySdLrqSO)) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\xa7\xe9\xec\xcb\x06\x1c\xef\xdc\xa9\xc2\x89\xfc\xee\xdc\xe8\xb6\xad\xdf\x1c_\xba\x160\x9d\xf56\xb3\xda\xb43+'), chr(0b1011 + 0o131) + '\145' + chr(0b1100011) + '\x6f' + chr(100) + chr(101))(chr(0b1110101) + chr(11107 - 10991) + chr(8104 - 8002) + chr(0b101101) + chr(0b111000))) _6weySdLrqSO = b_0s89WePwfs(vSFkIKG17CPU, DyzboKL9cczb) Tsq743b6ns4V = ltvhPP4VhXre.time() zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\xcc\xad\xaf\x87G\x11\xb6\x83\xe5\x86\xca\xb8\xad\x96\xe5\xfa\xe3\x91D\x00\xf6Xd\x8a\xf8'), '\x64' + chr(0b1001110 + 0o27) + chr(99) + chr(111) + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(4565 - 4463) + chr(0b101101) + '\x38'), _6weySdLrqSO) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b"\xe1\xf8\xa5\xa8\x88B_\xa5\xd1\xf0\x87\xc1\xf1\xb0\x9e\xb0\xf5\xe4\xd2R\x1e\xf6Hn\xd9\xber\xfd\x96\xedwN\x83\xd7\xad\x8dr'"), chr(3978 - 3878) + chr(0b10001 + 0o124) + '\x63' + '\157' + chr(100) + chr(101))(chr(0b1001101 + 0o50) + chr(116) + chr(102) + '\055' + '\070'), xvDB7qObFSrr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\xef\xb4\xae\x85CB\xee\xd1\xc9\xa3\xf4\xf1\xae\x9e\xa1\xfe\xec\xd2E\x1d\xf8P='), chr(100) + chr(0b1100101) + chr(99) + chr(8078 - 7967) + chr(100) + chr(0b1011000 + 0o15))('\165' + chr(0b101000 + 0o114) + chr(0b100111 + 0o77) + chr(45) + chr(0b101101 + 0o13)), Tsq743b6ns4V - nybXfruDMD80, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\xf9\xa1\xa2\x89EU\xb1'), '\144' + chr(483 - 382) + chr(0b1100011) + chr(0b1101111) + chr(0b1010101 + 0o17) + chr(0b1100101))(chr(117) + chr(2690 - 2574) + chr(4959 - 4857) + '\x2d' + chr(0b110111 + 0o1))) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xb7\xf9\xfc\xdb\x16\x0c\xff\xcc\xb9\xd2\x99\xec\xfe\xcc\xf8\xa6\xbd\xcf\x0cO\xaa\x1bX\xfe\x9c;\xa3\xca\xa4#\x1c\xd0\xca\xf6\xdf=:\xb5\x01\x88\xb7\xf9\xfc\xdb\x16\x0c\xff\xcc\x8e'), chr(0b1100100) + '\145' + chr(4218 - 4119) + chr(4843 - 4732) + chr(0b1100100) + '\145')(chr(0b101110 + 0o107) + '\164' + chr(0b1100110) + chr(0b1010 + 0o43) + chr(56))) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xf8\xbd\xa8\x88L\x11\xb6\x9e\xa4\x9c\xc5\xa7\xa6\xd1\xb1\xf3\xe5\xd2\\\x1d\xf3^q\x90\xa8z\xec\x96\xf4{U\x88\x85\xb8\xc2hb\xfaY\x9b\xa4\xea'), chr(0b1100100) + '\145' + '\143' + chr(11813 - 11702) + '\144' + '\145')(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(56))) xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xeb\xb2\xa4\xb9[P\xb0\x90\xe9\x8a\xd0\xb4\xb1\x82'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(100) + '\x65')(chr(2618 - 2501) + chr(0b1100111 + 0o15) + chr(0b1100110) + chr(1253 - 1208) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\xa5\xaa\xa4\x92\x05A\xa3\x83\xe5\x82\xd7'), '\x64' + chr(101) + '\x63' + chr(0b1101111) + '\144' + '\x65')(chr(0b111111 + 0o66) + '\x74' + chr(0b1100110) + chr(0b10001 + 0o34) + chr(798 - 742))) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b"\xe6\xeb\xb2\xa4\x82\x0bE\xaa\x94\xa4\x82\xcb\xb5\xa6\x9d\xe5\xeb\xe1\x80P\x1f\xf2Ox\xc2\xab;\xf7\x99\xb9}T\x9f\x85\xae\x8ct'\xecU\xc7\xef\xa7\xb5\x89YH\xec"), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(146 - 46) + chr(0b10100 + 0o121))('\x75' + chr(0b1110100) + chr(0b1111 + 0o127) + '\055' + chr(0b111000)))
apache/incubator-mxnet
python/mxnet/engine.py
set_bulk_size
def set_bulk_size(size): """Set size limit on bulk execution. Bulk execution bundles many operators to run together. This can improve performance when running a lot of small operators sequentially. Parameters ---------- size : int Maximum number of operators that can be bundled in a bulk. Returns ------- int Previous bulk size. """ prev = ctypes.c_int() check_call(_LIB.MXEngineSetBulkSize( ctypes.c_int(size), ctypes.byref(prev))) return prev.value
python
def set_bulk_size(size): """Set size limit on bulk execution. Bulk execution bundles many operators to run together. This can improve performance when running a lot of small operators sequentially. Parameters ---------- size : int Maximum number of operators that can be bundled in a bulk. Returns ------- int Previous bulk size. """ prev = ctypes.c_int() check_call(_LIB.MXEngineSetBulkSize( ctypes.c_int(size), ctypes.byref(prev))) return prev.value
[ "def", "set_bulk_size", "(", "size", ")", ":", "prev", "=", "ctypes", ".", "c_int", "(", ")", "check_call", "(", "_LIB", ".", "MXEngineSetBulkSize", "(", "ctypes", ".", "c_int", "(", "size", ")", ",", "ctypes", ".", "byref", "(", "prev", ")", ")", ")", "return", "prev", ".", "value" ]
Set size limit on bulk execution. Bulk execution bundles many operators to run together. This can improve performance when running a lot of small operators sequentially. Parameters ---------- size : int Maximum number of operators that can be bundled in a bulk. Returns ------- int Previous bulk size.
[ "Set", "size", "limit", "on", "bulk", "execution", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/engine.py#L26-L46
train
Sets the size limit on bulk execution.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(1436 - 1386) + chr(0b110000) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110110) + '\065', 0b1000), ehT0Px3KOsy9(chr(101 - 53) + '\157' + chr(0b110011) + chr(0b110011) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11100 + 0o27) + chr(0b110100 + 0o2) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011111 + 0o20) + chr(0b110000 + 0o1) + chr(0b1111 + 0o43) + chr(894 - 846), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(357 - 246) + chr(0b110011) + '\x37' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + '\x33' + '\060' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\x31' + chr(1146 - 1095), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6325 - 6214) + '\x33' + chr(0b110001) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1532 - 1481) + chr(785 - 737) + chr(0b110100), 43055 - 43047), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b111 + 0o52) + chr(0b110001 + 0o3), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101001 + 0o6) + chr(50) + '\062' + chr(0b101000 + 0o10), 50224 - 50216), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + chr(0b110001) + '\x31' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001111 + 0o40) + chr(0b110001) + '\064' + chr(0b110111), 51320 - 51312), ehT0Px3KOsy9(chr(1749 - 1701) + chr(2525 - 2414) + '\062' + chr(0b110101 + 0o1) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1768 - 1720) + chr(11874 - 11763) + chr(0b110010) + chr(797 - 743) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(12263 - 12152) + chr(0b110001) + chr(1083 - 1033), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + '\x34' + chr(0b1110 + 0o42), 0b1000), ehT0Px3KOsy9(chr(1733 - 1685) + '\157' + chr(49) + chr(0b110 + 0o61) + chr(552 - 501), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(51) + '\066' + chr(0b10010 + 0o45), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(49), 63530 - 63522), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1137 - 1086) + chr(0b101 + 0o57) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1011110 + 0o21) + chr(0b110010) + '\060' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110011 + 0o0) + chr(0b11111 + 0o22), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(595 - 545) + '\x32' + '\x35', 26888 - 26880), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x36' + chr(0b110110 + 0o0), 29162 - 29154), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(51) + chr(0b110100) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(2203 - 2155) + chr(0b1101111) + chr(632 - 581) + chr(1344 - 1289) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(454 - 404) + chr(0b100000 + 0o22) + chr(2458 - 2404), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6057 - 5946) + '\x32' + chr(0b110001 + 0o1) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10 + 0o60) + chr(0b1100 + 0o44) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1010 - 955) + chr(2418 - 2368), ord("\x08")), ehT0Px3KOsy9(chr(541 - 493) + '\157' + chr(49) + chr(1481 - 1433) + chr(0b1010 + 0o52), 41909 - 41901), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(53) + chr(774 - 724), ord("\x08")), ehT0Px3KOsy9(chr(527 - 479) + '\157' + chr(463 - 414) + chr(1587 - 1535) + '\061', 16345 - 16337), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(51) + chr(0b110011) + chr(981 - 926), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + chr(51) + chr(55) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110111) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100100 + 0o13) + '\x32' + '\067' + chr(53), 25116 - 25108)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(1268 - 1215) + chr(96 - 48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xab'), '\x64' + '\x65' + '\x63' + chr(0b10111 + 0o130) + chr(6332 - 6232) + '\145')(chr(0b110000 + 0o105) + chr(9250 - 9134) + '\x66' + chr(0b101101) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def MAWUwsSdVl0V(NLcc3BCJnQka): RIir6MzmTiCT = RyQ4N1viUrfz.c_int() VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8-\x9d\x9c7\x96\xa9n\x9e\xa1x\xd2<\x0b\xdb\xe2c\x1a\x1e'), chr(0b1 + 0o143) + chr(0b1100101) + chr(0b101110 + 0o65) + chr(1205 - 1094) + chr(0b1001101 + 0o27) + chr(0b1011001 + 0o14))('\165' + chr(116) + chr(0b111110 + 0o50) + chr(45) + chr(0b110111 + 0o1)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6*\xb1\x9c$'), chr(100) + '\145' + chr(6528 - 6429) + '\157' + chr(0b101100 + 0o70) + chr(101))(chr(0b1100100 + 0o21) + chr(6814 - 6698) + '\146' + chr(0b101101) + chr(90 - 34)))(NLcc3BCJnQka), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\x0c\xaa\x976'), '\144' + chr(0b101111 + 0o66) + '\143' + chr(0b101100 + 0o103) + chr(0b1100100) + '\x65')('\x75' + chr(3205 - 3089) + '\146' + '\x2d' + chr(0b11001 + 0o37)))(RIir6MzmTiCT))) return xafqLlk3kkUe(RIir6MzmTiCT, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\x18\xb5\x95\x07\xaa\x85:\xfe\x92O\xda'), '\144' + '\x65' + chr(99) + '\157' + chr(3658 - 3558) + chr(0b1000010 + 0o43))(chr(117) + chr(0b1110100) + chr(0b1000001 + 0o45) + chr(45) + chr(56)))
apache/incubator-mxnet
example/gluon/lipnet/BeamSearch.py
applyLM
def applyLM(parentBeam, childBeam, classes, lm): """ calculate LM score of child beam by taking score from parent beam and bigram probability of last two chars """ if lm and not childBeam.lmApplied: c1 = classes[parentBeam.labeling[-1] if parentBeam.labeling else classes.index(' ')] # first char c2 = classes[childBeam.labeling[-1]] # second char lmFactor = 0.01 # influence of language model bigramProb = lm.getCharBigram(c1, c2) ** lmFactor # probability of seeing first and second char next to each other childBeam.prText = parentBeam.prText * bigramProb # probability of char sequence childBeam.lmApplied = True
python
def applyLM(parentBeam, childBeam, classes, lm): """ calculate LM score of child beam by taking score from parent beam and bigram probability of last two chars """ if lm and not childBeam.lmApplied: c1 = classes[parentBeam.labeling[-1] if parentBeam.labeling else classes.index(' ')] # first char c2 = classes[childBeam.labeling[-1]] # second char lmFactor = 0.01 # influence of language model bigramProb = lm.getCharBigram(c1, c2) ** lmFactor # probability of seeing first and second char next to each other childBeam.prText = parentBeam.prText * bigramProb # probability of char sequence childBeam.lmApplied = True
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calculate LM score of child beam by taking score from parent beam and bigram probability of last two chars
[ "calculate", "LM", "score", "of", "child", "beam", "by", "taking", "score", "from", "parent", "beam", "and", "bigram", "probability", "of", "last", "two", "chars" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/lipnet/BeamSearch.py#L64-L74
train
calculate LM score of child beam by taking score from parent beam and bigram probability of last two chars
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(3761 - 3650) + chr(1890 - 1840), 46306 - 46298), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b110100) + chr(0b110000), 63181 - 63173), ehT0Px3KOsy9('\x30' + chr(5916 - 5805) + '\063' + '\x32' + chr(0b110111), 43724 - 43716), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(51) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(2096 - 2048) + chr(0b1101111) + chr(0b110011) + chr(566 - 518) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(12287 - 12176) + chr(0b110011) + chr(49), 0o10), ehT0Px3KOsy9(chr(1262 - 1214) + chr(0b1101111) + '\x32', 8), ehT0Px3KOsy9(chr(563 - 515) + '\x6f' + '\x31' + chr(296 - 244) + chr(0b11101 + 0o23), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b100101 + 0o14) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11001 + 0o31) + '\065' + '\x33', 49980 - 49972), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2038 - 1989) + chr(0b110101) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x36' + '\060', 0o10), ehT0Px3KOsy9(chr(2060 - 2012) + chr(0b111001 + 0o66) + chr(2156 - 2106) + '\065' + '\066', 1330 - 1322), ehT0Px3KOsy9(chr(48) + chr(9711 - 9600) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(0b100 + 0o61), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\064' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\x33' + '\062', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\065' + chr(0b110101), 22460 - 22452), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(50) + chr(0b10 + 0o64), 29531 - 29523), ehT0Px3KOsy9(chr(1949 - 1901) + chr(5669 - 5558) + chr(0b110111) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(556 - 505) + chr(48) + chr(0b100000 + 0o22), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\x33' + chr(0b10010 + 0o40), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + chr(0b110010) + chr(0b110001) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(1912 - 1862) + chr(645 - 595), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(500 - 445), 62267 - 62259), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100001 + 0o21) + chr(0b110111) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(6484 - 6373) + chr(0b110011) + chr(1500 - 1448) + chr(55), 45722 - 45714), ehT0Px3KOsy9(chr(594 - 546) + chr(3470 - 3359) + chr(51) + '\061' + chr(0b101000 + 0o15), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + chr(2046 - 1996), 53434 - 53426), ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + chr(0b110011) + chr(2407 - 2354) + chr(818 - 766), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(51) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11001 + 0o31) + chr(52) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(350 - 302) + chr(0b10 + 0o61), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(55) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\x32' + chr(53) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101001 + 0o12) + chr(0b110011) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(10885 - 10774) + '\063' + '\x32' + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(53) + chr(2113 - 2064), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11101 + 0o27) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(805 - 757) + chr(111) + chr(0b110010) + chr(0b110000) + '\067', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(810 - 762) + '\157' + '\x35' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b','), '\144' + chr(101) + '\x63' + chr(11721 - 11610) + chr(0b1100100) + chr(6152 - 6051))(chr(0b1010000 + 0o45) + chr(0b100000 + 0o124) + chr(102) + '\055' + chr(0b101011 + 0o15)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def mIdR25RDjiRg(x92yoJfOVQqp, C5jJC7ryT8mu, anO3bg2_hMSE, Hc5bN_vLL9FN): if Hc5bN_vLL9FN and (not xafqLlk3kkUe(C5jJC7ryT8mu, xafqLlk3kkUe(SXOLrMavuUCe(b'n\x8d\x96\xa9\xb2uk\x05\xeb'), chr(6520 - 6420) + chr(0b111110 + 0o47) + '\x63' + chr(3798 - 3687) + chr(0b1100100) + '\x65')('\x75' + chr(0b1100011 + 0o21) + chr(3223 - 3121) + chr(0b101101) + '\x38'))): TpThDjlWvpLw = anO3bg2_hMSE[x92yoJfOVQqp.labeling[-ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + '\061', 62056 - 62048)] if x92yoJfOVQqp.labeling else anO3bg2_hMSE.XdowRbJKZWL9(xafqLlk3kkUe(SXOLrMavuUCe(b'"'), '\x64' + '\x65' + '\143' + '\x6f' + chr(100) + chr(101))('\x75' + chr(116) + chr(0b1100110) + chr(0b11110 + 0o17) + chr(0b111000)))] p_VTgDPfRD4V = anO3bg2_hMSE[C5jJC7ryT8mu.labeling[-ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001), 8)]] H_1O18yD86Px = 0.01 KwT9igjxPSQd = Hc5bN_vLL9FN.getCharBigram(TpThDjlWvpLw, p_VTgDPfRD4V) ** H_1O18yD86Px C5jJC7ryT8mu.mEEMEdI_jmWD = x92yoJfOVQqp.mEEMEdI_jmWD * KwT9igjxPSQd C5jJC7ryT8mu.Jay3WRfHlTfw = ehT0Px3KOsy9('\060' + '\157' + chr(0b110001), 8)
apache/incubator-mxnet
example/gluon/lipnet/BeamSearch.py
addBeam
def addBeam(beamState, labeling): """ add beam if it does not yet exist """ if labeling not in beamState.entries: beamState.entries[labeling] = BeamEntry()
python
def addBeam(beamState, labeling): """ add beam if it does not yet exist """ if labeling not in beamState.entries: beamState.entries[labeling] = BeamEntry()
[ "def", "addBeam", "(", "beamState", ",", "labeling", ")", ":", "if", "labeling", "not", "in", "beamState", ".", "entries", ":", "beamState", ".", "entries", "[", "labeling", "]", "=", "BeamEntry", "(", ")" ]
add beam if it does not yet exist
[ "add", "beam", "if", "it", "does", "not", "yet", "exist" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/lipnet/BeamSearch.py#L76-L81
train
add beam if it does not exist
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(50) + chr(0b10001 + 0o42), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b110010) + chr(0b100010 + 0o24) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\065' + '\x33', 57706 - 57698), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(5239 - 5128) + chr(50) + '\060' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5058 - 4947) + chr(257 - 207) + chr(0b110110) + chr(0b10000 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(2123 - 2075) + '\157' + chr(0b11 + 0o64) + chr(0b110001), 57301 - 57293), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b11010 + 0o33) + chr(613 - 560), 43236 - 43228), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1001100 + 0o43) + '\x32' + '\x31' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1438 - 1387) + chr(0b101111 + 0o4) + chr(0b110100), 20173 - 20165), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b110101 + 0o72) + chr(50) + chr(0b110010) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(55) + chr(50), 27105 - 27097), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b101100 + 0o10) + chr(510 - 459), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7660 - 7549) + chr(2468 - 2414) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10845 - 10734) + '\x33' + chr(0b101101 + 0o7) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1121 - 1073) + chr(744 - 633) + '\062' + '\x30' + chr(50), 0o10), ehT0Px3KOsy9(chr(694 - 646) + '\157' + chr(50) + chr(648 - 595) + chr(0b110111), 61734 - 61726), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(54) + '\061', 0o10), ehT0Px3KOsy9(chr(1330 - 1282) + '\157' + '\063' + chr(0b110000) + chr(1475 - 1426), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110010 + 0o0) + chr(0b10111 + 0o36), 6961 - 6953), ehT0Px3KOsy9(chr(1421 - 1373) + chr(0b1010001 + 0o36) + chr(0b101110 + 0o5) + chr(0b110010) + chr(0b110011), 60394 - 60386), ehT0Px3KOsy9(chr(48) + chr(5479 - 5368) + '\062' + chr(0b11110 + 0o31) + chr(0b1001 + 0o47), 11027 - 11019), ehT0Px3KOsy9('\x30' + '\x6f' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b100111 + 0o110) + chr(0b110010) + '\060', 54231 - 54223), ehT0Px3KOsy9(chr(0b110000) + chr(2018 - 1907) + chr(0b110011) + chr(0b10010 + 0o41) + chr(0b110001), 12361 - 12353), ehT0Px3KOsy9(chr(48) + chr(4172 - 4061) + '\x31' + '\x33' + chr(0b110100), 15874 - 15866), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110100) + chr(0b100001 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1207 - 1155) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b1101 + 0o44) + chr(0b100110 + 0o16), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100101 + 0o12) + '\x31' + chr(54) + chr(1220 - 1169), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\064' + chr(1231 - 1182), 0o10), ehT0Px3KOsy9(chr(48) + chr(1771 - 1660) + chr(0b110011 + 0o2) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + '\062' + chr(0b110 + 0o52) + chr(0b11011 + 0o32), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110111) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(54) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b110010 + 0o75) + '\062' + '\x32' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5254 - 5143) + '\063' + chr(54) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11000 + 0o31) + '\x33' + chr(2392 - 2337), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9720 - 9609) + chr(519 - 470) + chr(0b110011) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(579 - 531) + chr(0b1101111) + chr(608 - 557) + '\x30' + chr(0b11110 + 0o25), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(0b1100100) + chr(0b1011 + 0o132) + '\143' + chr(0b1101111) + '\144' + '\145')(chr(0b11110 + 0o127) + chr(0b100110 + 0o116) + chr(427 - 325) + chr(2022 - 1977) + chr(0b101000 + 0o20)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def HJowUGgtRCjA(tI77izEFGAPW, KFI0UUZlYRQi): if KFI0UUZlYRQi not in xafqLlk3kkUe(tI77izEFGAPW, xafqLlk3kkUe(SXOLrMavuUCe(b'6\xde\x9f\xf2~\xd1J'), chr(4347 - 4247) + '\x65' + chr(0b11011 + 0o110) + chr(0b100 + 0o153) + chr(0b1100100) + chr(101))('\165' + chr(11993 - 11877) + chr(0b1100110) + chr(1941 - 1896) + '\070')): tI77izEFGAPW.tzAocNV6MBUm[KFI0UUZlYRQi] = k8MoXCEjGpf3()
apache/incubator-mxnet
example/gluon/lipnet/BeamSearch.py
ctcBeamSearch
def ctcBeamSearch(mat, classes, lm, k, beamWidth): """ beam search as described by the paper of Hwang et al. and the paper of Graves et al. """ blankIdx = len(classes) maxT, maxC = mat.shape # initialise beam state last = BeamState() labeling = () last.entries[labeling] = BeamEntry() last.entries[labeling].prBlank = 1 last.entries[labeling].prTotal = 1 # go over all time-steps for t in range(maxT): curr = BeamState() # get beam-labelings of best beams bestLabelings = last.sort()[0:beamWidth] # go over best beams for labeling in bestLabelings: # probability of paths ending with a non-blank prNonBlank = 0 # in case of non-empty beam if labeling: # probability of paths with repeated last char at the end try: prNonBlank = last.entries[labeling].prNonBlank * mat[t, labeling[-1]] except FloatingPointError: prNonBlank = 0 # probability of paths ending with a blank prBlank = (last.entries[labeling].prTotal) * mat[t, blankIdx] # add beam at current time-step if needed addBeam(curr, labeling) # fill in data curr.entries[labeling].labeling = labeling curr.entries[labeling].prNonBlank += prNonBlank curr.entries[labeling].prBlank += prBlank curr.entries[labeling].prTotal += prBlank + prNonBlank curr.entries[labeling].prText = last.entries[labeling].prText # beam-labeling not changed, therefore also LM score unchanged from curr.entries[labeling].lmApplied = True # LM already applied at previous time-step for this beam-labeling # extend current beam-labeling for c in range(maxC - 1): # add new char to current beam-labeling newLabeling = labeling + (c,) # if new labeling contains duplicate char at the end, only consider paths ending with a blank if labeling and labeling[-1] == c: prNonBlank = mat[t, c] * last.entries[labeling].prBlank else: prNonBlank = mat[t, c] * last.entries[labeling].prTotal # add beam at current time-step if needed addBeam(curr, newLabeling) # fill in data curr.entries[newLabeling].labeling = newLabeling curr.entries[newLabeling].prNonBlank += prNonBlank curr.entries[newLabeling].prTotal += prNonBlank # apply LM applyLM(curr.entries[labeling], curr.entries[newLabeling], classes, lm) # set new beam state last = curr # normalise LM scores according to beam-labeling-length last.norm() # sort by probability bestLabelings = last.sort()[:k] # get most probable labeling output = [] for bestLabeling in bestLabelings: # map labels to chars res = '' for l in bestLabeling: res += classes[l] output.append(res) return output
python
def ctcBeamSearch(mat, classes, lm, k, beamWidth): """ beam search as described by the paper of Hwang et al. and the paper of Graves et al. """ blankIdx = len(classes) maxT, maxC = mat.shape # initialise beam state last = BeamState() labeling = () last.entries[labeling] = BeamEntry() last.entries[labeling].prBlank = 1 last.entries[labeling].prTotal = 1 # go over all time-steps for t in range(maxT): curr = BeamState() # get beam-labelings of best beams bestLabelings = last.sort()[0:beamWidth] # go over best beams for labeling in bestLabelings: # probability of paths ending with a non-blank prNonBlank = 0 # in case of non-empty beam if labeling: # probability of paths with repeated last char at the end try: prNonBlank = last.entries[labeling].prNonBlank * mat[t, labeling[-1]] except FloatingPointError: prNonBlank = 0 # probability of paths ending with a blank prBlank = (last.entries[labeling].prTotal) * mat[t, blankIdx] # add beam at current time-step if needed addBeam(curr, labeling) # fill in data curr.entries[labeling].labeling = labeling curr.entries[labeling].prNonBlank += prNonBlank curr.entries[labeling].prBlank += prBlank curr.entries[labeling].prTotal += prBlank + prNonBlank curr.entries[labeling].prText = last.entries[labeling].prText # beam-labeling not changed, therefore also LM score unchanged from curr.entries[labeling].lmApplied = True # LM already applied at previous time-step for this beam-labeling # extend current beam-labeling for c in range(maxC - 1): # add new char to current beam-labeling newLabeling = labeling + (c,) # if new labeling contains duplicate char at the end, only consider paths ending with a blank if labeling and labeling[-1] == c: prNonBlank = mat[t, c] * last.entries[labeling].prBlank else: prNonBlank = mat[t, c] * last.entries[labeling].prTotal # add beam at current time-step if needed addBeam(curr, newLabeling) # fill in data curr.entries[newLabeling].labeling = newLabeling curr.entries[newLabeling].prNonBlank += prNonBlank curr.entries[newLabeling].prTotal += prNonBlank # apply LM applyLM(curr.entries[labeling], curr.entries[newLabeling], classes, lm) # set new beam state last = curr # normalise LM scores according to beam-labeling-length last.norm() # sort by probability bestLabelings = last.sort()[:k] # get most probable labeling output = [] for bestLabeling in bestLabelings: # map labels to chars res = '' for l in bestLabeling: res += classes[l] output.append(res) return output
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beam search as described by the paper of Hwang et al. and the paper of Graves et al.
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/lipnet/BeamSearch.py#L83-L170
train
This function is used to search for beams in a given beam - level.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(50) + chr(1448 - 1398) + chr(0b110111), 42129 - 42121), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(794 - 743) + chr(0b101100 + 0o6) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(2058 - 1947) + '\062' + chr(52) + chr(55), 25328 - 25320), ehT0Px3KOsy9('\x30' + chr(0b1011111 + 0o20) + chr(0b110011) + chr(0b110000) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100110 + 0o14) + chr(2105 - 2055) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\x33' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2943 - 2832) + chr(0b110011) + chr(0b110111) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110001) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b101110 + 0o5) + chr(50) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(52) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(0b101010 + 0o11) + chr(0b110101 + 0o0) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b110001) + chr(0b1111 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10101 + 0o36) + chr(0b110011) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101010 + 0o7) + '\064' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1762 - 1713) + '\060' + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(52) + chr(1265 - 1215), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1723 - 1674) + '\062' + chr(0b101111 + 0o10), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + chr(0b110110), 56135 - 56127), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1930 - 1876) + chr(0b11011 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(186 - 138) + chr(0b11111 + 0o120) + chr(0b110010) + '\x31' + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(50) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(1570 - 1517) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1061 - 1013) + '\x6f' + '\061' + '\x37', 0b1000), ehT0Px3KOsy9(chr(226 - 178) + chr(3103 - 2992) + '\062' + chr(0b100100 + 0o22) + chr(0b110111), 15891 - 15883), ehT0Px3KOsy9('\x30' + chr(111) + chr(112 - 61) + chr(55) + chr(0b100011 + 0o20), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(55) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51 - 0) + chr(0b11000 + 0o35) + chr(2251 - 2200), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(54) + '\060', 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(4143 - 4032) + '\061' + chr(77 - 23) + chr(0b110101), 2511 - 2503), ehT0Px3KOsy9(chr(1814 - 1766) + chr(0b1101111) + '\061' + chr(0b110010) + '\x31', 8029 - 8021), ehT0Px3KOsy9('\060' + '\x6f' + chr(2385 - 2334) + chr(1731 - 1678) + chr(54), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b11100 + 0o123) + '\063' + chr(0b100101 + 0o17) + chr(0b100011 + 0o20), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(11839 - 11728) + chr(55) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x35' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(595 - 546) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\064' + chr(0b110111), 8), ehT0Px3KOsy9(chr(48) + chr(0b10111 + 0o130) + chr(51) + chr(0b110110) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1844 - 1796) + '\157' + chr(0b110010) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\066' + chr(855 - 807), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(1351 - 1297) + chr(1746 - 1696), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(0b110101) + chr(48), 25555 - 25547)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9'), '\x64' + '\145' + chr(8210 - 8111) + '\157' + '\x64' + chr(3398 - 3297))(chr(0b1110101) + '\x74' + '\146' + '\x2d' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def GnK9R9jr3gKt(B46D_S81_RKA, anO3bg2_hMSE, Hc5bN_vLL9FN, OolUPRJhRaJd, OOhkxIx2yyem): hYGmWdnT4g4_ = c2A0yzQpDQB3(anO3bg2_hMSE) (Jv0aaXDrrgD0, Eq1EZ2lKLmzU) = B46D_S81_RKA.nauYfLglTpcb Z6Ub1MQPX1kA = l5t7jVpa1mkZ() KFI0UUZlYRQi = () Z6Ub1MQPX1kA.tzAocNV6MBUm[KFI0UUZlYRQi] = k8MoXCEjGpf3() Z6Ub1MQPX1kA.entries[KFI0UUZlYRQi].xQoHhaQXTLwB = ehT0Px3KOsy9(chr(48) + chr(11593 - 11482) + chr(0b110001), 0b1000) Z6Ub1MQPX1kA.entries[KFI0UUZlYRQi].hZcsF3QqqV_N = ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001), 8) for YeT3l7JgTbWR in vQr8gNKaIaWE(Jv0aaXDrrgD0): wzMxSx3DfFia = l5t7jVpa1mkZ() B5GOmDnFvzO0 = Z6Ub1MQPX1kA.sort()[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x30', 0b1000):OOhkxIx2yyem] for KFI0UUZlYRQi in B5GOmDnFvzO0: pSO0bNPsRq4r = ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(0b10100 + 0o34), 8) if KFI0UUZlYRQi: try: pSO0bNPsRq4r = Z6Ub1MQPX1kA.entries[KFI0UUZlYRQi].prNonBlank * B46D_S81_RKA[YeT3l7JgTbWR, KFI0UUZlYRQi[-ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11 + 0o56), 8)]] except QZzQeAYvsoum: pSO0bNPsRq4r = ehT0Px3KOsy9(chr(48) + chr(111) + '\060', 8) xQoHhaQXTLwB = Z6Ub1MQPX1kA.entries[KFI0UUZlYRQi].hZcsF3QqqV_N * B46D_S81_RKA[YeT3l7JgTbWR, hYGmWdnT4g4_] HJowUGgtRCjA(wzMxSx3DfFia, KFI0UUZlYRQi) wzMxSx3DfFia.entries[KFI0UUZlYRQi].KFI0UUZlYRQi = KFI0UUZlYRQi wzMxSx3DfFia.entries[KFI0UUZlYRQi].pSO0bNPsRq4r += pSO0bNPsRq4r wzMxSx3DfFia.entries[KFI0UUZlYRQi].xQoHhaQXTLwB += xQoHhaQXTLwB wzMxSx3DfFia.entries[KFI0UUZlYRQi].hZcsF3QqqV_N += xQoHhaQXTLwB + pSO0bNPsRq4r wzMxSx3DfFia.entries[KFI0UUZlYRQi].mEEMEdI_jmWD = Z6Ub1MQPX1kA.entries[KFI0UUZlYRQi].mEEMEdI_jmWD wzMxSx3DfFia.entries[KFI0UUZlYRQi].Jay3WRfHlTfw = ehT0Px3KOsy9(chr(48) + '\157' + chr(49), 8) for qzn1Ctg9WgNh in vQr8gNKaIaWE(Eq1EZ2lKLmzU - ehT0Px3KOsy9(chr(0b110000) + chr(0b101101 + 0o102) + '\x31', 8)): wDBZe2bz9QDq = KFI0UUZlYRQi + (qzn1Ctg9WgNh,) if KFI0UUZlYRQi and KFI0UUZlYRQi[-ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061', 8)] == qzn1Ctg9WgNh: pSO0bNPsRq4r = B46D_S81_RKA[YeT3l7JgTbWR, qzn1Ctg9WgNh] * Z6Ub1MQPX1kA.entries[KFI0UUZlYRQi].xQoHhaQXTLwB else: pSO0bNPsRq4r = B46D_S81_RKA[YeT3l7JgTbWR, qzn1Ctg9WgNh] * Z6Ub1MQPX1kA.entries[KFI0UUZlYRQi].hZcsF3QqqV_N HJowUGgtRCjA(wzMxSx3DfFia, wDBZe2bz9QDq) wzMxSx3DfFia.entries[wDBZe2bz9QDq].KFI0UUZlYRQi = wDBZe2bz9QDq wzMxSx3DfFia.entries[wDBZe2bz9QDq].pSO0bNPsRq4r += pSO0bNPsRq4r wzMxSx3DfFia.entries[wDBZe2bz9QDq].hZcsF3QqqV_N += pSO0bNPsRq4r mIdR25RDjiRg(xafqLlk3kkUe(wzMxSx3DfFia, xafqLlk3kkUe(SXOLrMavuUCe(b"\xe3\xaf\xe6\xa9\xf7\x92\xaf\xfe\x9fd\xbb'"), chr(8324 - 8224) + '\145' + chr(1286 - 1187) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b1 + 0o54) + chr(0b1 + 0o67)))[KFI0UUZlYRQi], xafqLlk3kkUe(wzMxSx3DfFia, xafqLlk3kkUe(SXOLrMavuUCe(b"\xe3\xaf\xe6\xa9\xf7\x92\xaf\xfe\x9fd\xbb'"), chr(0b11 + 0o141) + '\x65' + '\143' + chr(0b1011000 + 0o27) + chr(100) + '\x65')(chr(0b1000 + 0o155) + '\164' + '\146' + chr(961 - 916) + chr(3009 - 2953)))[wDBZe2bz9QDq], anO3bg2_hMSE, Hc5bN_vLL9FN) Z6Ub1MQPX1kA = wzMxSx3DfFia xafqLlk3kkUe(Z6Ub1MQPX1kA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x81\xe8\xb1\xdb\x84\x8b\xab\xb9w\x809'), '\144' + chr(2052 - 1951) + '\x63' + chr(111) + chr(0b1100100) + '\145')(chr(0b1110101) + '\x74' + '\x66' + chr(45) + chr(0b111000)))() B5GOmDnFvzO0 = Z6Ub1MQPX1kA.sort()[:OolUPRJhRaJd] e1jVqMSBZ01Y = [] for q89a9DkQWhLS in B5GOmDnFvzO0: MsbwfslwLjRO = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(2892 - 2792) + '\145' + chr(0b1001111 + 0o24) + chr(0b1101111) + '\x64' + chr(8147 - 8046))('\165' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(56)) for aLoH_Mt0dzwO in q89a9DkQWhLS: MsbwfslwLjRO += anO3bg2_hMSE[aLoH_Mt0dzwO] xafqLlk3kkUe(e1jVqMSBZ01Y, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xa5\xd7\xa3\xfa\xb8'), chr(7948 - 7848) + '\145' + chr(6148 - 6049) + chr(111) + chr(3817 - 3717) + chr(215 - 114))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b111 + 0o46) + chr(2396 - 2340)))(MsbwfslwLjRO) return e1jVqMSBZ01Y
apache/incubator-mxnet
example/gluon/lipnet/BeamSearch.py
BeamState.norm
def norm(self): """ length-normalise LM score """ for (k, _) in self.entries.items(): labelingLen = len(self.entries[k].labeling) self.entries[k].prText = self.entries[k].prText ** (1.0 / (labelingLen if labelingLen else 1.0))
python
def norm(self): """ length-normalise LM score """ for (k, _) in self.entries.items(): labelingLen = len(self.entries[k].labeling) self.entries[k].prText = self.entries[k].prText ** (1.0 / (labelingLen if labelingLen else 1.0))
[ "def", "norm", "(", "self", ")", ":", "for", "(", "k", ",", "_", ")", "in", "self", ".", "entries", ".", "items", "(", ")", ":", "labelingLen", "=", "len", "(", "self", ".", "entries", "[", "k", "]", ".", "labeling", ")", "self", ".", "entries", "[", "k", "]", ".", "prText", "=", "self", ".", "entries", "[", "k", "]", ".", "prText", "**", "(", "1.0", "/", "(", "labelingLen", "if", "labelingLen", "else", "1.0", ")", ")" ]
length-normalise LM score
[ "length", "-", "normalise", "LM", "score" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/lipnet/BeamSearch.py#L48-L54
train
Normalize the LM 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(chr(0b110000) + '\157' + '\x31' + chr(0b1010 + 0o54) + chr(963 - 914), 55822 - 55814), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(443 - 392) + chr(49) + chr(954 - 901), 39693 - 39685), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(7595 - 7484) + chr(1450 - 1396) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000111 + 0o50) + chr(49) + chr(0b110101) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + '\061' + chr(52) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\x32' + chr(2478 - 2424), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3918 - 3807) + chr(0b110011) + chr(1185 - 1137) + chr(0b111 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(1288 - 1240) + '\x6f' + chr(0b11000 + 0o32) + '\x31' + chr(266 - 218), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b110001) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b110110) + '\064', 0o10), ehT0Px3KOsy9(chr(1323 - 1275) + '\157' + '\063' + chr(0b110001) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1001011 + 0o44) + '\x32' + chr(48) + '\061', 0o10), ehT0Px3KOsy9(chr(1849 - 1801) + chr(0b1100110 + 0o11) + '\063' + '\060' + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100111 + 0o110) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1338 - 1290) + chr(0b101100 + 0o103) + chr(49) + chr(51) + chr(1768 - 1720), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + '\x33' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(0b11 + 0o154) + chr(2003 - 1954) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(919 - 871) + '\157' + '\063' + chr(48) + chr(0b110110), 16016 - 16008), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(0b110001) + chr(0b110011) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101000 + 0o16) + chr(0b110 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(786 - 735) + '\065' + chr(1435 - 1386), 12066 - 12058), ehT0Px3KOsy9('\x30' + chr(7887 - 7776) + '\x32' + chr(0b1100 + 0o52) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11010 + 0o125) + '\061' + '\x30' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9945 - 9834) + chr(0b1000 + 0o51) + chr(0b110001 + 0o5) + '\x31', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(55) + '\061', 56279 - 56271), ehT0Px3KOsy9(chr(1993 - 1945) + chr(111) + chr(0b110011) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x35' + chr(0b11011 + 0o33), 0o10), ehT0Px3KOsy9(chr(48) + chr(235 - 124) + '\063' + chr(1228 - 1176) + chr(54), 20821 - 20813), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b110110) + chr(0b110001), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110001) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101011 + 0o104) + '\063' + '\x34' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(335 - 282), 31329 - 31321), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(49) + '\061' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11001 + 0o30) + chr(0b0 + 0o63) + chr(54), 22749 - 22741), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b110000) + chr(808 - 754), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\060' + chr(0b110010), 1210 - 1202), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\064' + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(3311 - 3200) + chr(0b1001 + 0o51) + chr(51) + chr(0b10101 + 0o42), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(0b1111 + 0o43) + '\x31' + '\064', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + '\065' + chr(0b1011 + 0o45), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'_'), chr(0b1100100) + chr(0b1100101) + chr(0b110111 + 0o54) + chr(0b1101111) + chr(0b1101 + 0o127) + '\x65')(chr(0b1110101) + chr(116) + chr(0b1010001 + 0o25) + chr(585 - 540) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def eTOwOXrckQns(oVre8I6UXc3b): for (OolUPRJhRaJd, VNGQdHSFPrso) in xafqLlk3kkUe(oVre8I6UXc3b.entries, xafqLlk3kkUe(SXOLrMavuUCe(b'?\xb7SP!8\xe5\x8a\xe4\x1a<\xf2'), '\144' + chr(0b10001 + 0o124) + chr(0b1100011) + chr(10438 - 10327) + chr(0b1100100) + chr(0b1100101))(chr(8869 - 8752) + chr(0b100101 + 0o117) + chr(6262 - 6160) + '\055' + chr(0b1 + 0o67)))(): I3FTJEjmbmtF = c2A0yzQpDQB3(oVre8I6UXc3b.entries[OolUPRJhRaJd].KFI0UUZlYRQi) oVre8I6UXc3b.entries[OolUPRJhRaJd].mEEMEdI_jmWD = oVre8I6UXc3b.entries[OolUPRJhRaJd].mEEMEdI_jmWD ** (1.0 / (I3FTJEjmbmtF if I3FTJEjmbmtF else 1.0))
apache/incubator-mxnet
example/gluon/lipnet/BeamSearch.py
BeamState.sort
def sort(self): """ return beam-labelings, sorted by probability """ beams = [v for (_, v) in self.entries.items()] sortedBeams = sorted(beams, reverse=True, key=lambda x: x.prTotal*x.prText) return [x.labeling for x in sortedBeams]
python
def sort(self): """ return beam-labelings, sorted by probability """ beams = [v for (_, v) in self.entries.items()] sortedBeams = sorted(beams, reverse=True, key=lambda x: x.prTotal*x.prText) return [x.labeling for x in sortedBeams]
[ "def", "sort", "(", "self", ")", ":", "beams", "=", "[", "v", "for", "(", "_", ",", "v", ")", "in", "self", ".", "entries", ".", "items", "(", ")", "]", "sortedBeams", "=", "sorted", "(", "beams", ",", "reverse", "=", "True", ",", "key", "=", "lambda", "x", ":", "x", ".", "prTotal", "*", "x", ".", "prText", ")", "return", "[", "x", ".", "labeling", "for", "x", "in", "sortedBeams", "]" ]
return beam-labelings, sorted by probability
[ "return", "beam", "-", "labelings", "sorted", "by", "probability" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/lipnet/BeamSearch.py#L56-L62
train
return beam - labelings sorted by probability
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b11111 + 0o24) + chr(1899 - 1846) + chr(307 - 258), 55839 - 55831), ehT0Px3KOsy9(chr(826 - 778) + '\x6f' + chr(0b10110 + 0o33) + '\x30' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(1638 - 1590) + '\x6f' + chr(52) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10100 + 0o37) + '\x32' + '\065', 50663 - 50655), ehT0Px3KOsy9(chr(0b110000) + chr(2832 - 2721) + '\061' + chr(54) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(861 - 812) + chr(53) + chr(1813 - 1763), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(51) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + '\061' + '\x34' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11011 + 0o27) + '\063' + chr(0b10 + 0o64), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10441 - 10330) + chr(0b110011) + '\060' + chr(0b110010), 15080 - 15072), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x32' + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(267 - 213) + '\063', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(53) + '\061', 40226 - 40218), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(52) + chr(0b11100 + 0o25), 0b1000), ehT0Px3KOsy9(chr(883 - 835) + chr(0b11110 + 0o121) + chr(50) + chr(48) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\x36' + '\x34', 0b1000), ehT0Px3KOsy9(chr(1478 - 1430) + chr(7590 - 7479) + chr(1066 - 1017) + chr(899 - 844) + chr(0b1101 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(847 - 798) + '\x32', 24566 - 24558), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(1098 - 1048) + chr(0b10000 + 0o40), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(1027 - 978) + '\x32' + '\067', 47990 - 47982), ehT0Px3KOsy9(chr(48) + chr(10893 - 10782) + chr(0b110011) + '\066' + '\x34', 8), ehT0Px3KOsy9(chr(48) + chr(10617 - 10506) + chr(0b100110 + 0o13) + '\x30', 0o10), ehT0Px3KOsy9(chr(2264 - 2216) + '\x6f' + chr(0b10000 + 0o42) + chr(0b10010 + 0o42) + chr(1992 - 1939), 64735 - 64727), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1000 + 0o51) + '\066' + '\067', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\062' + chr(0b11111 + 0o27) + chr(1541 - 1487), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110011) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(49) + chr(1160 - 1109) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + '\062' + '\066' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1512 - 1461) + '\060' + chr(54), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\061' + chr(50), 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(0b110011) + chr(52) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(49) + chr(49) + chr(0b110001), 56169 - 56161), ehT0Px3KOsy9('\x30' + chr(2579 - 2468) + chr(0b101000 + 0o12) + chr(51) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(193 - 145) + chr(0b1101111) + chr(0b101001 + 0o11) + chr(0b110100), 58974 - 58966), ehT0Px3KOsy9(chr(2015 - 1967) + '\x6f' + '\064' + '\x33', 0b1000), ehT0Px3KOsy9(chr(1169 - 1121) + chr(0b1101111) + '\x32' + chr(50) + chr(0b0 + 0o60), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(546 - 496) + chr(1386 - 1338) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\x36' + chr(569 - 520), 0o10), ehT0Px3KOsy9(chr(87 - 39) + '\x6f' + chr(0b11100 + 0o27) + chr(0b110011) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11001 + 0o31) + chr(0b11101 + 0o25) + chr(0b1000 + 0o53), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(1329 - 1218) + '\x35' + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7'), chr(0b1100100) + chr(0b100100 + 0o101) + chr(99) + chr(9821 - 9710) + '\x64' + chr(0b1010010 + 0o23))(chr(117) + '\164' + chr(0b1001011 + 0o33) + '\x2d' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def tlxzdTw4q2JZ(oVre8I6UXc3b): QGiqnHqpgLrD = [cMbll0QYhULo for (VNGQdHSFPrso, cMbll0QYhULo) in oVre8I6UXc3b.entries.NzveIZ3IlSH9()] smvblsTkTD86 = vUlqIvNSaRMa(QGiqnHqpgLrD, reverse=ehT0Px3KOsy9(chr(0b110000) + chr(4890 - 4779) + chr(102 - 53), 0b1000), key=lambda OeWW0F1dBPRQ: OeWW0F1dBPRQ.hZcsF3QqqV_N * OeWW0F1dBPRQ.mEEMEdI_jmWD) return [xafqLlk3kkUe(OeWW0F1dBPRQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\x04o\xe5 ?B\x0f\xc7\x90\x03\x9a'), '\x64' + chr(2950 - 2849) + chr(99) + chr(590 - 479) + chr(2037 - 1937) + chr(7991 - 7890))(chr(2375 - 2258) + chr(0b1110100) + '\146' + chr(0b101101) + '\070')) for OeWW0F1dBPRQ in smvblsTkTD86]
apache/incubator-mxnet
example/image-classification/symbols/lenet.py
get_loc
def get_loc(data, attr={'lr_mult':'0.01'}): """ the localisation network in lenet-stn, it will increase acc about more than 1%, when num-epoch >=15 """ loc = mx.symbol.Convolution(data=data, num_filter=30, kernel=(5, 5), stride=(2,2)) loc = mx.symbol.Activation(data = loc, act_type='relu') loc = mx.symbol.Pooling(data=loc, kernel=(2, 2), stride=(2, 2), pool_type='max') loc = mx.symbol.Convolution(data=loc, num_filter=60, kernel=(3, 3), stride=(1,1), pad=(1, 1)) loc = mx.symbol.Activation(data = loc, act_type='relu') loc = mx.symbol.Pooling(data=loc, global_pool=True, kernel=(2, 2), pool_type='avg') loc = mx.symbol.Flatten(data=loc) loc = mx.symbol.FullyConnected(data=loc, num_hidden=6, name="stn_loc", attr=attr) return loc
python
def get_loc(data, attr={'lr_mult':'0.01'}): """ the localisation network in lenet-stn, it will increase acc about more than 1%, when num-epoch >=15 """ loc = mx.symbol.Convolution(data=data, num_filter=30, kernel=(5, 5), stride=(2,2)) loc = mx.symbol.Activation(data = loc, act_type='relu') loc = mx.symbol.Pooling(data=loc, kernel=(2, 2), stride=(2, 2), pool_type='max') loc = mx.symbol.Convolution(data=loc, num_filter=60, kernel=(3, 3), stride=(1,1), pad=(1, 1)) loc = mx.symbol.Activation(data = loc, act_type='relu') loc = mx.symbol.Pooling(data=loc, global_pool=True, kernel=(2, 2), pool_type='avg') loc = mx.symbol.Flatten(data=loc) loc = mx.symbol.FullyConnected(data=loc, num_hidden=6, name="stn_loc", attr=attr) return loc
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the localisation network in lenet-stn, it will increase acc about more than 1%, when num-epoch >=15
[ "the", "localisation", "network", "in", "lenet", "-", "stn", "it", "will", "increase", "acc", "about", "more", "than", "1%", "when", "num", "-", "epoch", ">", "=", "15" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/image-classification/symbols/lenet.py#L25-L38
train
get the localisation network in lenet - stn
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(2255 - 2207) + chr(111) + '\x32' + chr(0b110000) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(53), 33405 - 33397), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(8985 - 8874) + '\x34' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011011 + 0o24) + chr(0b110001 + 0o0) + chr(0b110010) + '\064', 0o10), ehT0Px3KOsy9(chr(1634 - 1586) + chr(0b1101111) + chr(1830 - 1777) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4920 - 4809) + chr(0b110001) + chr(0b110001) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8325 - 8214) + chr(1105 - 1051), 45467 - 45459), ehT0Px3KOsy9(chr(1280 - 1232) + chr(111) + chr(52), 57037 - 57029), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100110 + 0o13) + chr(0b110101) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100111 + 0o13) + '\x30' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(2066 - 2016) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(2579 - 2525) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(0b110001) + chr(0b110111) + chr(0b101000 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(1228 - 1180) + '\x6f' + chr(594 - 545) + '\067' + chr(0b11110 + 0o22), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(1403 - 1351) + '\067', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(6809 - 6698) + '\065' + chr(238 - 189), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(49) + chr(1704 - 1650) + '\061', 8), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(5739 - 5628) + '\x33' + chr(0b110111), 62161 - 62153), ehT0Px3KOsy9(chr(0b110000) + chr(1684 - 1573) + chr(0b100010 + 0o21) + chr(0b101111 + 0o5) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3351 - 3240) + chr(55) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\x30' + chr(0b110011), 41431 - 41423), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b110010) + chr(1128 - 1076), 6138 - 6130), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\061' + chr(520 - 467), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1000001 + 0o56) + chr(0b110010) + '\063' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(156 - 105) + chr(0b110111) + chr(0b11110 + 0o30), 22920 - 22912), ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + chr(0b100111 + 0o14) + chr(48) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(1963 - 1915) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + '\x32' + chr(51) + chr(0b101000 + 0o11), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101110 + 0o4) + chr(54) + chr(1797 - 1746), 60515 - 60507), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\067' + chr(0b110101), 42525 - 42517), ehT0Px3KOsy9(chr(0b110000) + chr(2894 - 2783) + chr(51) + chr(212 - 160) + chr(1298 - 1243), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1290 - 1241) + chr(1498 - 1445) + chr(0b1100 + 0o44), 40821 - 40813), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\066' + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010111 + 0o30) + chr(51) + chr(0b110101) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1964 - 1916) + '\x6f' + chr(0b1010 + 0o50) + '\067' + '\061', 0b1000), ehT0Px3KOsy9(chr(273 - 225) + chr(0b101010 + 0o105) + chr(0b110010) + '\062' + chr(0b11101 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + chr(0b11100 + 0o26) + '\063' + chr(2077 - 2028), 8), ehT0Px3KOsy9(chr(2280 - 2232) + chr(2769 - 2658) + '\062' + chr(267 - 216) + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011 + 0o0) + '\064' + chr(0b110111), 8), ehT0Px3KOsy9(chr(794 - 746) + chr(111) + chr(0b11000 + 0o36), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b110101) + chr(0b101110 + 0o2), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8'), chr(0b1100100) + '\145' + chr(3186 - 3087) + '\x6f' + chr(100) + '\x65')('\165' + '\x74' + '\x66' + chr(45) + chr(0b110100 + 0o4)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def DU5Hzr_1oNOd(ULnjp6D6efFH, uwnd9_euJYKT={xafqLlk3kkUe(SXOLrMavuUCe(b"\xeao\x7f9^'r"), chr(0b1000 + 0o134) + chr(9078 - 8977) + chr(0b1100011) + chr(0b1101111) + chr(0b111 + 0o135) + '\x65')(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xb63\x10e'), chr(0b100101 + 0o77) + '\145' + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1011010 + 0o32) + chr(0b1100110) + chr(0b100010 + 0o13) + '\x38')}): MmVY7Id_ODNA = CIVheOt0RKQX.symbol.Convolution(data=ULnjp6D6efFH, num_filter=ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(9578 - 9467) + chr(0b110001 + 0o2) + chr(0b101011 + 0o13), 0b1000), kernel=(ehT0Px3KOsy9('\x30' + chr(10322 - 10211) + chr(0b100110 + 0o17), 50550 - 50542), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(53), 8)), stride=(ehT0Px3KOsy9(chr(940 - 892) + '\x6f' + chr(270 - 220), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010), 8))) MmVY7Id_ODNA = CIVheOt0RKQX.symbol.Activation(data=MmVY7Id_ODNA, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4xL!'), chr(0b100010 + 0o102) + chr(101) + '\143' + chr(111) + chr(3261 - 3161) + '\145')(chr(0b111010 + 0o73) + chr(0b1110100) + '\x66' + '\x2d' + chr(56))) MmVY7Id_ODNA = CIVheOt0RKQX.symbol.Pooling(data=MmVY7Id_ODNA, kernel=(ehT0Px3KOsy9(chr(48) + chr(2281 - 2170) + chr(0b10101 + 0o35), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x32', 8)), stride=(ehT0Px3KOsy9(chr(1993 - 1945) + chr(0b1101111) + chr(50), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1947 - 1897), 8)), pool_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb|X'), '\144' + chr(0b11111 + 0o106) + chr(99) + chr(0b11010 + 0o125) + chr(465 - 365) + chr(7747 - 7646))(chr(9734 - 9617) + chr(0b101110 + 0o106) + '\x66' + '\055' + chr(56))) MmVY7Id_ODNA = CIVheOt0RKQX.symbol.Convolution(data=MmVY7Id_ODNA, num_filter=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\067' + chr(0b10001 + 0o43), 0o10), kernel=(ehT0Px3KOsy9('\x30' + chr(7653 - 7542) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1100 + 0o47), 8)), stride=(ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + '\061', 8)), pad=(ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(12001 - 11890) + chr(0b110001 + 0o0), 8), ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + '\061', 8))) MmVY7Id_ODNA = CIVheOt0RKQX.symbol.Activation(data=MmVY7Id_ODNA, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4xL!'), '\x64' + '\145' + chr(7033 - 6934) + chr(111) + chr(0b1100100) + '\145')(chr(0b1000 + 0o155) + chr(116) + chr(0b11111 + 0o107) + chr(0b101101) + chr(56))) MmVY7Id_ODNA = CIVheOt0RKQX.symbol.Pooling(data=MmVY7Id_ODNA, global_pool=ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + '\x31', 8), kernel=(ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + '\062', 8), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(0b110010), 8)), pool_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7kG'), chr(7267 - 7167) + '\x65' + chr(0b1100011) + chr(0b11111 + 0o120) + '\144' + '\145')('\x75' + chr(0b1011111 + 0o25) + chr(1542 - 1440) + chr(45) + chr(0b111000))) MmVY7Id_ODNA = CIVheOt0RKQX.symbol.Flatten(data=MmVY7Id_ODNA) MmVY7Id_ODNA = CIVheOt0RKQX.symbol.FullyConnected(data=MmVY7Id_ODNA, num_hidden=ehT0Px3KOsy9('\x30' + chr(0b1010001 + 0o36) + chr(54), 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5iN\x0bG$e'), chr(100) + chr(2355 - 2254) + '\x63' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1011001 + 0o34) + chr(116) + chr(102) + '\x2d' + '\070'), attr=uwnd9_euJYKT) return MmVY7Id_ODNA
apache/incubator-mxnet
example/ssd/demo.py
get_detector
def get_detector(net, prefix, epoch, data_shape, mean_pixels, ctx, num_class, nms_thresh=0.5, force_nms=True, nms_topk=400): """ wrapper for initialize a detector Parameters: ---------- net : str test network name prefix : str load model prefix epoch : int load model epoch data_shape : int resize image shape mean_pixels : tuple (float, float, float) mean pixel values (R, G, B) ctx : mx.ctx running context, mx.cpu() or mx.gpu(?) num_class : int number of classes nms_thresh : float non-maximum suppression threshold force_nms : bool force suppress different categories """ if net is not None: if isinstance(data_shape, tuple): data_shape = data_shape[0] net = get_symbol(net, data_shape, num_classes=num_class, nms_thresh=nms_thresh, force_nms=force_nms, nms_topk=nms_topk) detector = Detector(net, prefix, epoch, data_shape, mean_pixels, ctx=ctx) return detector
python
def get_detector(net, prefix, epoch, data_shape, mean_pixels, ctx, num_class, nms_thresh=0.5, force_nms=True, nms_topk=400): """ wrapper for initialize a detector Parameters: ---------- net : str test network name prefix : str load model prefix epoch : int load model epoch data_shape : int resize image shape mean_pixels : tuple (float, float, float) mean pixel values (R, G, B) ctx : mx.ctx running context, mx.cpu() or mx.gpu(?) num_class : int number of classes nms_thresh : float non-maximum suppression threshold force_nms : bool force suppress different categories """ if net is not None: if isinstance(data_shape, tuple): data_shape = data_shape[0] net = get_symbol(net, data_shape, num_classes=num_class, nms_thresh=nms_thresh, force_nms=force_nms, nms_topk=nms_topk) detector = Detector(net, prefix, epoch, data_shape, mean_pixels, ctx=ctx) return detector
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wrapper for initialize a detector Parameters: ---------- net : str test network name prefix : str load model prefix epoch : int load model epoch data_shape : int resize image shape mean_pixels : tuple (float, float, float) mean pixel values (R, G, B) ctx : mx.ctx running context, mx.cpu() or mx.gpu(?) num_class : int number of classes nms_thresh : float non-maximum suppression threshold force_nms : bool force suppress different categories
[ "wrapper", "for", "initialize", "a", "detector" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/demo.py#L32-L64
train
get a detector for a given test network
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\063' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b10100 + 0o133) + chr(1433 - 1384) + chr(53) + chr(0b1111 + 0o44), 0o10), ehT0Px3KOsy9(chr(573 - 525) + '\157' + chr(0b1011 + 0o50) + '\x34' + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\064' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6412 - 6301) + '\063' + chr(1535 - 1485) + '\x31', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\x30' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(1195 - 1084) + chr(1294 - 1244) + '\063' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(1141 - 1091) + chr(929 - 877), ord("\x08")), ehT0Px3KOsy9(chr(2045 - 1997) + '\157' + chr(0b101111 + 0o2) + chr(1664 - 1615) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11 + 0o154) + chr(0b10101 + 0o35) + '\x33' + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + chr(5349 - 5238) + chr(0b110001) + '\x30' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b110111) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\x37', 0o10), ehT0Px3KOsy9(chr(920 - 872) + chr(111) + chr(52) + chr(0b11100 + 0o26), 17755 - 17747), ehT0Px3KOsy9(chr(1165 - 1117) + '\x6f' + chr(49) + chr(0b100100 + 0o22) + chr(2526 - 2474), 0o10), ehT0Px3KOsy9(chr(834 - 786) + '\x6f' + chr(941 - 890) + chr(674 - 619) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(0b110011) + chr(0b110001) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(995 - 946) + chr(0b10100 + 0o42), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(993 - 943) + chr(53) + chr(0b110111), 8465 - 8457), ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + '\x33' + chr(0b110101) + chr(777 - 723), ord("\x08")), ehT0Px3KOsy9(chr(1303 - 1255) + '\157' + chr(2299 - 2248) + '\067' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b110 + 0o151) + '\063' + '\064' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10001 + 0o40) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b101010 + 0o7) + chr(0b1010 + 0o54) + chr(55), 46057 - 46049), ehT0Px3KOsy9(chr(0b110000) + chr(0b0 + 0o157) + chr(0b110010) + chr(49) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(1391 - 1338) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + '\062' + chr(49) + chr(0b1001 + 0o56), 0b1000), ehT0Px3KOsy9(chr(1341 - 1293) + chr(0b1101111) + chr(0b110010) + chr(0b11 + 0o64) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1328 - 1280) + chr(6530 - 6419) + '\063' + chr(139 - 89) + chr(54), 0o10), ehT0Px3KOsy9(chr(1332 - 1284) + chr(0b1101111) + chr(0b110011) + '\x34' + chr(52), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x37' + '\062', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(1724 - 1670) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(8257 - 8146) + '\063' + chr(0b1110 + 0o50), 0o10), ehT0Px3KOsy9(chr(1224 - 1176) + '\157' + chr(1710 - 1661) + chr(0b110010) + '\062', 5519 - 5511), ehT0Px3KOsy9(chr(48) + chr(4678 - 4567) + '\x37' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(2591 - 2540) + chr(0b110001) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\x31' + '\060', 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(2015 - 1904) + chr(0b110010 + 0o2), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110100) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(110 - 61) + chr(50) + chr(0b100000 + 0o24), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(11552 - 11441) + chr(405 - 352) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b's'), '\144' + chr(101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b11100 + 0o111))(chr(0b1000110 + 0o57) + '\164' + chr(0b110011 + 0o63) + '\x2d' + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def WmTenfF1Mbbq(DyzboKL9cczb, K1Ha0XjJTAE7, LWTVW06OsTjl, l48nAKgbtcOz, E1fRBWSsubBl, oM3jLo753XfX, BOdRtfvEiXXE, B1zO81yiJH6n=0.5, sy0nbNZ9RB9W=ehT0Px3KOsy9(chr(0b110000) + chr(0b1001 + 0o146) + '\061', 0b1000), ThWUW9vG0TzH=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1564 - 1510) + '\062' + '\060', 0o10)): if DyzboKL9cczb is not None: if PlSM16l2KDPD(l48nAKgbtcOz, KNyTy8rYcwji): l48nAKgbtcOz = l48nAKgbtcOz[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 0o10)] DyzboKL9cczb = Rc2yr7B7_1Tw(DyzboKL9cczb, l48nAKgbtcOz, num_classes=BOdRtfvEiXXE, nms_thresh=B1zO81yiJH6n, force_nms=sy0nbNZ9RB9W, nms_topk=ThWUW9vG0TzH) WFkjQsJs9H1L = X7eUPgmKjrCY(DyzboKL9cczb, K1Ha0XjJTAE7, LWTVW06OsTjl, l48nAKgbtcOz, E1fRBWSsubBl, ctx=oM3jLo753XfX) return WFkjQsJs9H1L
apache/incubator-mxnet
example/ssd/demo.py
parse_class_names
def parse_class_names(class_names): """ parse # classes and class_names if applicable """ if len(class_names) > 0: if os.path.isfile(class_names): # try to open it to read class names with open(class_names, 'r') as f: class_names = [l.strip() for l in f.readlines()] else: class_names = [c.strip() for c in class_names.split(',')] for name in class_names: assert len(name) > 0 else: raise RuntimeError("No valid class_name provided...") return class_names
python
def parse_class_names(class_names): """ parse # classes and class_names if applicable """ if len(class_names) > 0: if os.path.isfile(class_names): # try to open it to read class names with open(class_names, 'r') as f: class_names = [l.strip() for l in f.readlines()] else: class_names = [c.strip() for c in class_names.split(',')] for name in class_names: assert len(name) > 0 else: raise RuntimeError("No valid class_name provided...") return class_names
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parse # classes and class_names if applicable
[ "parse", "#", "classes", "and", "class_names", "if", "applicable" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/demo.py#L117-L130
train
parse class_names if applicable
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(338 - 290) + chr(111) + chr(0b110010) + chr(2510 - 2458) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x34' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(1248 - 1195) + chr(0b110101), 15075 - 15067), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(50) + '\x30' + '\067', 37463 - 37455), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11101 + 0o25) + '\x35' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1324 - 1276) + '\157' + chr(0b110100) + chr(1990 - 1935), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b10110 + 0o35) + chr(53), 0b1000), ehT0Px3KOsy9(chr(86 - 38) + chr(0b1101110 + 0o1) + chr(0b110001) + chr(52) + chr(1446 - 1392), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + '\x33' + chr(0b110101 + 0o2) + chr(0b1101 + 0o43), 31137 - 31129), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\061' + chr(1996 - 1946), ord("\x08")), ehT0Px3KOsy9(chr(1251 - 1203) + chr(0b1000001 + 0o56) + '\x32' + chr(0b101001 + 0o10) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(0b110011) + '\x37' + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110100) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6525 - 6414) + chr(0b110011) + chr(50) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b1010 + 0o50) + chr(1824 - 1776), ord("\x08")), ehT0Px3KOsy9(chr(2072 - 2024) + chr(0b1101110 + 0o1) + chr(2397 - 2347) + '\x36' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10010 + 0o40) + '\065' + chr(0b1100 + 0o45), 0o10), ehT0Px3KOsy9('\x30' + chr(849 - 738) + '\x37' + chr(344 - 294), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(357 - 306) + chr(53) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + '\063' + '\x34' + chr(0b101100 + 0o4), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b111 + 0o53) + '\062' + chr(48), 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b11011 + 0o32) + chr(602 - 548), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\061' + '\x34', 15509 - 15501), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(52) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b110110) + chr(1919 - 1865), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(1494 - 1442) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x36' + chr(1047 - 995), 56159 - 56151), ehT0Px3KOsy9('\060' + chr(5540 - 5429) + chr(1720 - 1668) + chr(0b10000 + 0o43), 7972 - 7964), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(273 - 162) + chr(0b110010) + chr(622 - 574) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\x34' + chr(608 - 559), 8), ehT0Px3KOsy9(chr(0b110000) + chr(8463 - 8352) + chr(1870 - 1820) + '\x31' + chr(879 - 825), ord("\x08")), ehT0Px3KOsy9(chr(717 - 669) + chr(0b1101010 + 0o5) + chr(49) + chr(2331 - 2281) + chr(54), 38113 - 38105), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100110 + 0o14) + chr(0b101 + 0o62) + chr(1510 - 1460), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1000 + 0o52) + '\066' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(1208 - 1159) + chr(1191 - 1140) + chr(1586 - 1538), ord("\x08")), ehT0Px3KOsy9(chr(386 - 338) + chr(10435 - 10324) + chr(49) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(55) + '\x32', 8), ehT0Px3KOsy9(chr(1960 - 1912) + '\157' + chr(51) + '\x35' + '\065', 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(51) + chr(1916 - 1864) + chr(0b110010 + 0o0), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(1555 - 1502) + chr(51), 12506 - 12498)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(53) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b'), chr(0b1100100) + chr(8180 - 8079) + chr(99) + chr(111) + '\144' + chr(0b1100101))('\x75' + chr(0b110011 + 0o101) + chr(0b1011101 + 0o11) + chr(0b101101) + chr(1277 - 1221)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def E3z9wB6YSP93(d0pd0E6a4xQt): if c2A0yzQpDQB3(d0pd0E6a4xQt) > ehT0Px3KOsy9(chr(1985 - 1937) + '\x6f' + '\060', 4200 - 4192): if xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\x93\x8b\xee\xc1B'), chr(100) + chr(9623 - 9522) + chr(2093 - 1994) + chr(111) + '\144' + chr(101))(chr(1374 - 1257) + chr(116) + chr(0b0 + 0o146) + '\x2d' + chr(0b111000)))(d0pd0E6a4xQt): with _fwkIVCGgtAN(d0pd0E6a4xQt, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7'), chr(0b1100010 + 0o2) + '\145' + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b11111 + 0o106))('\165' + '\x74' + chr(4844 - 4742) + chr(0b101101) + '\x38')) as EGyt1xfPT1P6: d0pd0E6a4xQt = [aLoH_Mt0dzwO.strip() for aLoH_Mt0dzwO in EGyt1xfPT1P6.readlines()] else: d0pd0E6a4xQt = [qzn1Ctg9WgNh.strip() for qzn1Ctg9WgNh in d0pd0E6a4xQt.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x89'), chr(8882 - 8782) + '\145' + chr(99) + chr(10553 - 10442) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b110101 + 0o3)))] for AIvJRzLdDfgF in d0pd0E6a4xQt: assert c2A0yzQpDQB3(AIvJRzLdDfgF) > ehT0Px3KOsy9(chr(907 - 859) + '\157' + chr(48), 8) else: raise n0ZkatoveZpF(xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb\x8f\xcd\xf1\xccK4\x02\xd8\xa9\xe1\x9b\x14\xa0\xcf\xd8\xc8W\x8d\xc0\xe0\\#\x12\xdf\x05QG\xa8O\xa0'), '\144' + '\x65' + '\x63' + chr(0b1101111) + chr(3053 - 2953) + '\145')(chr(0b1011011 + 0o32) + chr(116) + chr(102) + '\x2d' + chr(56))) return d0pd0E6a4xQt
apache/incubator-mxnet
example/ssd/demo.py
parse_data_shape
def parse_data_shape(data_shape_str): """Parse string to tuple or int""" ds = data_shape_str.strip().split(',') if len(ds) == 1: data_shape = (int(ds[0]), int(ds[0])) elif len(ds) == 2: data_shape = (int(ds[0]), int(ds[1])) else: raise ValueError("Unexpected data_shape: %s", data_shape_str) return data_shape
python
def parse_data_shape(data_shape_str): """Parse string to tuple or int""" ds = data_shape_str.strip().split(',') if len(ds) == 1: data_shape = (int(ds[0]), int(ds[0])) elif len(ds) == 2: data_shape = (int(ds[0]), int(ds[1])) else: raise ValueError("Unexpected data_shape: %s", data_shape_str) return data_shape
[ "def", "parse_data_shape", "(", "data_shape_str", ")", ":", "ds", "=", "data_shape_str", ".", "strip", "(", ")", ".", "split", "(", "','", ")", "if", "len", "(", "ds", ")", "==", "1", ":", "data_shape", "=", "(", "int", "(", "ds", "[", "0", "]", ")", ",", "int", "(", "ds", "[", "0", "]", ")", ")", "elif", "len", "(", "ds", ")", "==", "2", ":", "data_shape", "=", "(", "int", "(", "ds", "[", "0", "]", ")", ",", "int", "(", "ds", "[", "1", "]", ")", ")", "else", ":", "raise", "ValueError", "(", "\"Unexpected data_shape: %s\"", ",", "data_shape_str", ")", "return", "data_shape" ]
Parse string to tuple or int
[ "Parse", "string", "to", "tuple", "or", "int" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/demo.py#L141-L150
train
Parse string to tuple or int
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b101001 + 0o12) + chr(0b110110) + chr(2779 - 2725), 0b1000), ehT0Px3KOsy9('\x30' + chr(12243 - 12132) + chr(1642 - 1592) + chr(50) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(734 - 684) + chr(2171 - 2123), ord("\x08")), ehT0Px3KOsy9(chr(543 - 495) + chr(111) + '\061' + '\061' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1011111 + 0o20) + chr(0b110011) + '\x34' + chr(0b101 + 0o55), 0o10), ehT0Px3KOsy9('\060' + chr(0b110011 + 0o74) + chr(49) + chr(1530 - 1475) + chr(761 - 713), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1688 - 1640) + chr(6326 - 6215) + chr(0b110010) + chr(0b110000) + chr(1211 - 1159), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(2577 - 2522) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101000 + 0o7) + '\062' + chr(54 - 6) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010101 + 0o32) + chr(52) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(974 - 863) + chr(0b110000), 28632 - 28624), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1937 - 1887) + chr(0b11110 + 0o30) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011 + 0o144) + chr(50) + chr(0b110100) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b111011 + 0o64) + chr(0b110010) + '\064' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1151 - 1103) + chr(111) + chr(0b11011 + 0o30) + chr(52) + chr(0b10101 + 0o34), 0b1000), ehT0Px3KOsy9(chr(1042 - 994) + chr(0b1101111) + chr(961 - 912) + '\x30' + '\066', 23291 - 23283), ehT0Px3KOsy9(chr(651 - 603) + '\157' + '\x32' + '\x36' + '\065', 60938 - 60930), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b101010 + 0o11) + '\066', 0o10), ehT0Px3KOsy9(chr(1903 - 1855) + '\x6f' + '\062' + chr(2549 - 2494) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100010 + 0o17) + '\062' + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\060' + chr(0b110010 + 0o5), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(1925 - 1814) + chr(0b101100 + 0o5) + '\065' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1190 - 1142) + '\x6f' + '\061' + chr(55) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\x34' + '\x37', 8), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + '\x31' + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(7693 - 7582) + chr(51) + chr(0b110101) + chr(48), 44240 - 44232), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\061' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + '\062' + '\064' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(55) + chr(0b110101), 31838 - 31830), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(2145 - 2094) + chr(54), 0b1000), ehT0Px3KOsy9(chr(651 - 603) + '\x6f' + chr(0b101111 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\x37' + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b1000101 + 0o52) + '\x33' + '\x30' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(55) + chr(0b110000), 2066 - 2058), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b110011) + chr(1501 - 1446) + chr(1866 - 1811), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x34', 22625 - 22617)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(1131 - 1078) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8'), chr(0b1100100) + '\145' + chr(0b10110 + 0o115) + chr(0b110001 + 0o76) + chr(0b100 + 0o140) + '\145')(chr(0b1110101) + chr(116) + chr(1145 - 1043) + chr(1486 - 1441) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def QLDnhmwBXf1U(OWYf615jRg7J): JemPxC1eYHLi = OWYf615jRg7J.strip().split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xda'), chr(100) + chr(0b110 + 0o137) + chr(0b1100011) + chr(2500 - 2389) + chr(100) + chr(0b101000 + 0o75))(chr(117) + chr(0b1001101 + 0o47) + '\x66' + '\x2d' + chr(0b101000 + 0o20))) if c2A0yzQpDQB3(JemPxC1eYHLi) == ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11110 + 0o23), 8): l48nAKgbtcOz = (ehT0Px3KOsy9(JemPxC1eYHLi[ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(0b110000 + 0o0), 8)]), ehT0Px3KOsy9(JemPxC1eYHLi[ehT0Px3KOsy9('\060' + '\x6f' + chr(1326 - 1278), 8)])) elif c2A0yzQpDQB3(JemPxC1eYHLi) == ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1601 - 1551), 3441 - 3433): l48nAKgbtcOz = (ehT0Px3KOsy9(JemPxC1eYHLi[ehT0Px3KOsy9(chr(148 - 100) + '\157' + chr(48), 8)]), ehT0Px3KOsy9(JemPxC1eYHLi[ehT0Px3KOsy9('\060' + chr(111) + '\061', 8)])) else: raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\xf8\xf54\x92\x1deh\xe1\\\xa0Ca\xc6\xc6\xff\x92.\xd4\xae\xd81w\xa2\x19'), chr(0b111001 + 0o53) + chr(0b1100101) + '\143' + chr(0b1101111) + '\x64' + chr(0b111100 + 0o51))(chr(2956 - 2839) + '\164' + '\x66' + chr(1109 - 1064) + '\x38'), OWYf615jRg7J) return l48nAKgbtcOz
apache/incubator-mxnet
example/kaggle-ndsb2/Train.py
get_lenet
def get_lenet(): """ A lenet style net, takes difference of each frame as input. """ source = mx.sym.Variable("data") source = (source - 128) * (1.0/128) frames = mx.sym.SliceChannel(source, num_outputs=30) diffs = [frames[i+1] - frames[i] for i in range(29)] source = mx.sym.Concat(*diffs) net = mx.sym.Convolution(source, kernel=(5, 5), num_filter=40) net = mx.sym.BatchNorm(net, fix_gamma=True) net = mx.sym.Activation(net, act_type="relu") net = mx.sym.Pooling(net, pool_type="max", kernel=(2,2), stride=(2,2)) net = mx.sym.Convolution(net, kernel=(3, 3), num_filter=40) net = mx.sym.BatchNorm(net, fix_gamma=True) net = mx.sym.Activation(net, act_type="relu") net = mx.sym.Pooling(net, pool_type="max", kernel=(2,2), stride=(2,2)) # first fullc flatten = mx.symbol.Flatten(net) flatten = mx.symbol.Dropout(flatten) fc1 = mx.symbol.FullyConnected(data=flatten, num_hidden=600) # Name the final layer as softmax so it auto matches the naming of data iterator # Otherwise we can also change the provide_data in the data iter return mx.symbol.LogisticRegressionOutput(data=fc1, name='softmax')
python
def get_lenet(): """ A lenet style net, takes difference of each frame as input. """ source = mx.sym.Variable("data") source = (source - 128) * (1.0/128) frames = mx.sym.SliceChannel(source, num_outputs=30) diffs = [frames[i+1] - frames[i] for i in range(29)] source = mx.sym.Concat(*diffs) net = mx.sym.Convolution(source, kernel=(5, 5), num_filter=40) net = mx.sym.BatchNorm(net, fix_gamma=True) net = mx.sym.Activation(net, act_type="relu") net = mx.sym.Pooling(net, pool_type="max", kernel=(2,2), stride=(2,2)) net = mx.sym.Convolution(net, kernel=(3, 3), num_filter=40) net = mx.sym.BatchNorm(net, fix_gamma=True) net = mx.sym.Activation(net, act_type="relu") net = mx.sym.Pooling(net, pool_type="max", kernel=(2,2), stride=(2,2)) # first fullc flatten = mx.symbol.Flatten(net) flatten = mx.symbol.Dropout(flatten) fc1 = mx.symbol.FullyConnected(data=flatten, num_hidden=600) # Name the final layer as softmax so it auto matches the naming of data iterator # Otherwise we can also change the provide_data in the data iter return mx.symbol.LogisticRegressionOutput(data=fc1, name='softmax')
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A lenet style net, takes difference of each frame as input.
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/kaggle-ndsb2/Train.py#L33-L55
train
A lenet style net takes difference of each frame as input.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + '\x32' + '\061' + chr(0b1101 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(156 - 108) + chr(0b110000 + 0o77) + chr(1852 - 1798) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(319 - 266) + '\063', 58773 - 58765), ehT0Px3KOsy9(chr(0b110000) + chr(0b0 + 0o157) + chr(0b110011) + chr(2272 - 2221) + chr(2199 - 2144), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + chr(49) + chr(1824 - 1771) + chr(0b100011 + 0o17), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1986 - 1936) + chr(2441 - 2389) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b1110 + 0o51) + chr(0b101100 + 0o7), 54114 - 54106), ehT0Px3KOsy9(chr(358 - 310) + '\157' + '\062' + chr(0b1100 + 0o52) + chr(52), 0b1000), ehT0Px3KOsy9(chr(1104 - 1056) + chr(111) + chr(51) + chr(0b0 + 0o64) + chr(0b100111 + 0o13), 49816 - 49808), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(49) + '\x33', 8), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(51) + chr(0b101111 + 0o5), 0b1000), ehT0Px3KOsy9('\x30' + chr(5135 - 5024) + chr(0b110 + 0o54) + '\x32' + '\060', 45468 - 45460), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b110001) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\060' + chr(2562 - 2509), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(1098 - 1047) + '\x36', 7892 - 7884), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1001010 + 0o45) + '\x35' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b10111 + 0o31) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1954 - 1906) + chr(111) + '\x32' + chr(53) + '\062', 52052 - 52044), ehT0Px3KOsy9(chr(546 - 498) + chr(0b101011 + 0o104) + chr(0b10001 + 0o42) + '\x37' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\067' + chr(0b1111 + 0o44), 64333 - 64325), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1380 - 1331) + '\x34' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b10011 + 0o134) + chr(0b11100 + 0o25) + chr(1769 - 1720) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\067' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(639 - 589) + chr(54), 13910 - 13902), ehT0Px3KOsy9(chr(216 - 168) + chr(111) + '\x32' + '\066' + chr(1586 - 1533), 42407 - 42399), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(1815 - 1704) + chr(0b110010) + '\x31' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(1461 - 1407) + '\065', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11101 + 0o30) + '\x34', 0o10), ehT0Px3KOsy9(chr(1824 - 1776) + '\157' + chr(51) + '\x35' + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(0b110 + 0o55) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100011 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b100101 + 0o14) + chr(0b110011 + 0o4), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + chr(1574 - 1523) + chr(0b110000) + chr(0b101000 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4660 - 4549) + chr(53) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b11101 + 0o26) + chr(0b100101 + 0o21) + chr(0b110000), 4704 - 4696), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\x30' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(3944 - 3833) + chr(0b100000 + 0o23) + chr(0b110000) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10000 + 0o137) + chr(0b110001) + '\061' + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b110000) + chr(4857 - 4746) + chr(0b101010 + 0o7) + chr(49) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\067' + chr(1170 - 1122), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(994 - 883) + chr(2671 - 2618) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5'), '\x64' + chr(101) + chr(0b111101 + 0o46) + chr(0b1101101 + 0o2) + chr(0b1001010 + 0o32) + chr(101))('\x75' + chr(0b1110100) + chr(4625 - 4523) + chr(0b10100 + 0o31) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def HwXKnvLqbN7G(): Qas9W3D0Xbzi = CIVheOt0RKQX.sym.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\xefQ\xdf\xbe'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(6054 - 5943) + chr(1068 - 968) + '\145')(chr(2609 - 2492) + chr(0b1101110 + 0o6) + '\x66' + '\055' + '\x38')) Qas9W3D0Xbzi = (Qas9W3D0Xbzi - ehT0Px3KOsy9('\060' + chr(11273 - 11162) + '\x32' + '\060' + '\x30', ord("\x08"))) * (1.0 / ehT0Px3KOsy9(chr(1855 - 1807) + chr(111) + '\x32' + chr(1139 - 1091) + chr(0b110000), 8)) RlRNrq1190ue = CIVheOt0RKQX.sym.SliceChannel(Qas9W3D0Xbzi, num_outputs=ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(85 - 34) + chr(0b1110 + 0o50), 0o10)) DEucyHF1L_gC = [RlRNrq1190ue[WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(1693 - 1644), 0o10)] - RlRNrq1190ue[WVxHKyX45z_L] for WVxHKyX45z_L in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(2059 - 2011) + chr(0b101001 + 0o106) + chr(0b100000 + 0o23) + '\x35', 0b1000))] Qas9W3D0Xbzi = CIVheOt0RKQX.sym.Concat(*DEucyHF1L_gC) DyzboKL9cczb = CIVheOt0RKQX.sym.Convolution(Qas9W3D0Xbzi, kernel=(ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(11309 - 11198) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(152 - 104) + chr(0b1101111) + chr(2062 - 2009), 8)), num_filter=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111 + 0o0) + chr(53) + chr(1263 - 1215), 8)) DyzboKL9cczb = CIVheOt0RKQX.sym.BatchNorm(DyzboKL9cczb, fix_gamma=ehT0Px3KOsy9(chr(514 - 466) + chr(111) + chr(0b11010 + 0o27), 8)) DyzboKL9cczb = CIVheOt0RKQX.sym.Activation(DyzboKL9cczb, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9U\xc7\xaa'), chr(100) + '\145' + '\x63' + chr(0b1101111) + chr(9087 - 8987) + chr(0b1011111 + 0o6))(chr(0b1001011 + 0o52) + '\164' + chr(0b1100110) + chr(0b101101) + '\x38')) DyzboKL9cczb = CIVheOt0RKQX.sym.Pooling(DyzboKL9cczb, pool_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6Q\xd3'), chr(9341 - 9241) + chr(0b1100100 + 0o1) + chr(0b1100011) + chr(111) + chr(9465 - 9365) + chr(101))(chr(3450 - 3333) + '\x74' + '\x66' + chr(1680 - 1635) + '\070'), kernel=(ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010), 8)), stride=(ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32', 8))) DyzboKL9cczb = CIVheOt0RKQX.sym.Convolution(DyzboKL9cczb, kernel=(ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11110 + 0o25), 8), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + chr(837 - 786), 8)), num_filter=ehT0Px3KOsy9('\060' + chr(5278 - 5167) + '\065' + chr(0b110000), 8)) DyzboKL9cczb = CIVheOt0RKQX.sym.BatchNorm(DyzboKL9cczb, fix_gamma=ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), 8)) DyzboKL9cczb = CIVheOt0RKQX.sym.Activation(DyzboKL9cczb, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9U\xc7\xaa'), chr(0b1010011 + 0o21) + chr(101) + chr(0b1100011) + chr(3040 - 2929) + '\x64' + chr(0b1100101))(chr(0b1100 + 0o151) + chr(0b10010 + 0o142) + '\x66' + chr(1039 - 994) + chr(56))) DyzboKL9cczb = CIVheOt0RKQX.sym.Pooling(DyzboKL9cczb, pool_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6Q\xd3'), chr(9080 - 8980) + chr(101) + chr(99) + chr(2664 - 2553) + chr(0b1100100) + '\145')(chr(117) + chr(116) + chr(0b1100110) + chr(1947 - 1902) + '\x38'), kernel=(ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(112 - 62), 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(0b110010 + 0o0), 8)), stride=(ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062', 8), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(0b11 + 0o57), 8))) dbBtynT6oMgz = CIVheOt0RKQX.symbol.Flatten(DyzboKL9cczb) dbBtynT6oMgz = CIVheOt0RKQX.symbol.Dropout(dbBtynT6oMgz) Ssi0s1pf6st6 = CIVheOt0RKQX.symbol.FullyConnected(data=dbBtynT6oMgz, num_hidden=ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(0b11000 + 0o31) + chr(0b10111 + 0o32) + chr(1147 - 1096) + '\060', 5826 - 5818)) return xafqLlk3kkUe(CIVheOt0RKQX.symbol, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7_\xcc\xb6\x19\xd2\x92\xd7\xb0\xee\xbb\xe2\xa96\xedA.\xc4\xb7N\x11>\x8b\xe2'), chr(0b1100100) + '\145' + chr(99) + '\157' + chr(0b1100100) + chr(458 - 357))(chr(13000 - 12883) + '\x74' + '\x66' + chr(0b101101) + chr(2554 - 2498)))(data=Ssi0s1pf6st6, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8_\xcd\xab\x07\xc7\x83'), '\144' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b100101 + 0o77) + chr(0b110111 + 0o56))(chr(117) + chr(116) + chr(102) + chr(0b10111 + 0o26) + '\070'))
apache/incubator-mxnet
example/kaggle-ndsb2/Train.py
CRPS
def CRPS(label, pred): """ Custom evaluation metric on CRPS. """ for i in range(pred.shape[0]): for j in range(pred.shape[1] - 1): if pred[i, j] > pred[i, j + 1]: pred[i, j + 1] = pred[i, j] return np.sum(np.square(label - pred)) / label.size
python
def CRPS(label, pred): """ Custom evaluation metric on CRPS. """ for i in range(pred.shape[0]): for j in range(pred.shape[1] - 1): if pred[i, j] > pred[i, j + 1]: pred[i, j + 1] = pred[i, j] return np.sum(np.square(label - pred)) / label.size
[ "def", "CRPS", "(", "label", ",", "pred", ")", ":", "for", "i", "in", "range", "(", "pred", ".", "shape", "[", "0", "]", ")", ":", "for", "j", "in", "range", "(", "pred", ".", "shape", "[", "1", "]", "-", "1", ")", ":", "if", "pred", "[", "i", ",", "j", "]", ">", "pred", "[", "i", ",", "j", "+", "1", "]", ":", "pred", "[", "i", ",", "j", "+", "1", "]", "=", "pred", "[", "i", ",", "j", "]", "return", "np", ".", "sum", "(", "np", ".", "square", "(", "label", "-", "pred", ")", ")", "/", "label", ".", "size" ]
Custom evaluation metric on CRPS.
[ "Custom", "evaluation", "metric", "on", "CRPS", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/kaggle-ndsb2/Train.py#L57-L64
train
Custom evaluation metric on CRPS.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(49) + chr(482 - 432) + chr(50), 0b1000), ehT0Px3KOsy9(chr(137 - 89) + chr(0b1001 + 0o146) + chr(0b10010 + 0o37) + '\x35' + chr(0b11100 + 0o33), 0o10), ehT0Px3KOsy9(chr(202 - 154) + chr(111) + chr(0b1010 + 0o47) + chr(572 - 523) + '\x34', 55816 - 55808), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(9351 - 9240) + chr(50) + chr(0b100001 + 0o21) + chr(0b100010 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(298 - 250) + chr(0b1101111) + chr(132 - 83) + chr(0b11101 + 0o23) + chr(0b110010 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b10001 + 0o46) + chr(1289 - 1241), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + '\x33' + '\060' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(1651 - 1601) + chr(1991 - 1937), ord("\x08")), ehT0Px3KOsy9(chr(465 - 417) + chr(0b10100 + 0o133) + chr(0b110001) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(4446 - 4335) + chr(0b110011) + chr(55) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(5980 - 5869) + chr(51) + '\x30' + '\066', 8), ehT0Px3KOsy9(chr(2268 - 2220) + '\x6f' + '\063' + chr(0b1000 + 0o52), 36338 - 36330), ehT0Px3KOsy9('\x30' + chr(0b1000 + 0o147) + chr(51) + chr(0b110000) + chr(1706 - 1656), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1709 - 1660) + chr(1209 - 1158) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8376 - 8265) + chr(0b110010) + chr(0b11001 + 0o33) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9003 - 8892) + chr(0b10010 + 0o37) + chr(0b110101) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(49) + '\x31' + chr(0b10110 + 0o41), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b111 + 0o53) + chr(0b110110) + chr(0b101011 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7058 - 6947) + '\062' + chr(0b110101) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(0b101 + 0o56) + chr(53), 26060 - 26052), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(332 - 282) + chr(0b100000 + 0o21) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b10 + 0o57) + chr(1260 - 1206), 36606 - 36598), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b110110) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110110) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100 + 0o56) + chr(0b110100) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110110 + 0o71) + chr(49) + chr(0b110100) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b101011 + 0o10) + chr(0b111 + 0o52), 7871 - 7863), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b101111 + 0o6) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b110001) + chr(0b101111 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(0b110001) + chr(50) + chr(0b101 + 0o54), 37027 - 37019), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110111) + chr(1579 - 1524), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b100010 + 0o115) + chr(50) + '\x31' + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + '\x33' + chr(0b101011 + 0o10) + chr(2141 - 2090), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(744 - 694) + chr(236 - 185), 23254 - 23246), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + chr(1449 - 1398) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6605 - 6494) + '\063' + chr(0b110011) + chr(0b101 + 0o57), 55545 - 55537), ehT0Px3KOsy9(chr(48) + chr(550 - 439) + chr(1887 - 1837) + '\060' + chr(54), 5655 - 5647), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(10054 - 9943) + '\063' + chr(0b10101 + 0o40) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\x30' + chr(1139 - 1091), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001 + 0o4) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'|'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1001110 + 0o41) + chr(0b1100100) + chr(101))(chr(0b11010 + 0o133) + chr(0b1110100) + chr(102) + chr(950 - 905) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def LrDSpdqkXCdW(TRUOLFLuD08x, eyamnrN0elUS): for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(eyamnrN0elUS, xafqLlk3kkUe(SXOLrMavuUCe(b'<\x0e9\xcf \xb4\xa1\xba[\x8d\xa5x'), '\144' + '\x65' + '\x63' + chr(0b1101111) + '\144' + chr(101))(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(56)))[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100111 + 0o11), 0b1000)]): for tlORBuYsiw3X in vQr8gNKaIaWE(xafqLlk3kkUe(eyamnrN0elUS, xafqLlk3kkUe(SXOLrMavuUCe(b'<\x0e9\xcf \xb4\xa1\xba[\x8d\xa5x'), chr(3374 - 3274) + '\x65' + chr(0b1100011) + '\x6f' + '\x64' + chr(524 - 423))(chr(117) + chr(0b1110100) + chr(102) + chr(0b100001 + 0o14) + '\070'))[ehT0Px3KOsy9(chr(48) + chr(8101 - 7990) + '\x31', 0b1000)] - ehT0Px3KOsy9('\060' + '\157' + chr(1006 - 957), 8)): if eyamnrN0elUS[WVxHKyX45z_L, tlORBuYsiw3X] > eyamnrN0elUS[WVxHKyX45z_L, tlORBuYsiw3X + ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 8)]: eyamnrN0elUS[WVxHKyX45z_L, tlORBuYsiw3X + ehT0Px3KOsy9(chr(48) + chr(111) + chr(49), 8)] = eyamnrN0elUS[WVxHKyX45z_L, tlORBuYsiw3X] return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'*\x044\xd4+\x97\xf2\xefw\xcf\x87t'), chr(0b1100100) + chr(4997 - 4896) + '\x63' + '\157' + '\x64' + '\x65')('\165' + chr(1768 - 1652) + chr(0b1000001 + 0o45) + '\055' + chr(0b111000)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'!\x1e9\xf74\x9d'), chr(100) + chr(101) + chr(0b1010111 + 0o14) + chr(111) + '\x64' + chr(0b1100101))(chr(0b111110 + 0o67) + '\164' + chr(0b1100110) + chr(45) + chr(56)))(TRUOLFLuD08x - eyamnrN0elUS)) / xafqLlk3kkUe(TRUOLFLuD08x, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c#/\xf5u\xba\x85\x9ca\xac\xad{'), '\x64' + '\145' + chr(99) + chr(111) + chr(5019 - 4919) + '\x65')('\x75' + chr(0b100001 + 0o123) + chr(4548 - 4446) + chr(0b11010 + 0o23) + '\070'))
apache/incubator-mxnet
example/kaggle-ndsb2/Train.py
encode_label
def encode_label(label_data): """Run encoding to encode the label into the CDF target. """ systole = label_data[:, 1] diastole = label_data[:, 2] systole_encode = np.array([ (x < np.arange(600)) for x in systole ], dtype=np.uint8) diastole_encode = np.array([ (x < np.arange(600)) for x in diastole ], dtype=np.uint8) return systole_encode, diastole_encode
python
def encode_label(label_data): """Run encoding to encode the label into the CDF target. """ systole = label_data[:, 1] diastole = label_data[:, 2] systole_encode = np.array([ (x < np.arange(600)) for x in systole ], dtype=np.uint8) diastole_encode = np.array([ (x < np.arange(600)) for x in diastole ], dtype=np.uint8) return systole_encode, diastole_encode
[ "def", "encode_label", "(", "label_data", ")", ":", "systole", "=", "label_data", "[", ":", ",", "1", "]", "diastole", "=", "label_data", "[", ":", ",", "2", "]", "systole_encode", "=", "np", ".", "array", "(", "[", "(", "x", "<", "np", ".", "arange", "(", "600", ")", ")", "for", "x", "in", "systole", "]", ",", "dtype", "=", "np", ".", "uint8", ")", "diastole_encode", "=", "np", ".", "array", "(", "[", "(", "x", "<", "np", ".", "arange", "(", "600", ")", ")", "for", "x", "in", "diastole", "]", ",", "dtype", "=", "np", ".", "uint8", ")", "return", "systole_encode", ",", "diastole_encode" ]
Run encoding to encode the label into the CDF target.
[ "Run", "encoding", "to", "encode", "the", "label", "into", "the", "CDF", "target", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/kaggle-ndsb2/Train.py#L69-L80
train
Run encoding to encode the label into the CDF target.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110000), 11514 - 11506), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1827 - 1776) + '\x36' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3722 - 3611) + chr(0b110011) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(408 - 354) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35', 0o10), ehT0Px3KOsy9(chr(1835 - 1787) + '\157' + '\063' + chr(0b1001 + 0o53) + chr(2083 - 2029), 54943 - 54935), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2454 - 2404) + '\065' + '\065', 29960 - 29952), ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + chr(2097 - 2046) + chr(1983 - 1932) + '\066', 23396 - 23388), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\061' + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010101 + 0o32) + chr(513 - 463) + chr(0b100 + 0o60) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + chr(505 - 453), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1818 - 1707) + chr(0b10100 + 0o35) + chr(51) + chr(0b110010 + 0o1), 48798 - 48790), ehT0Px3KOsy9('\060' + chr(4120 - 4009) + chr(51) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\065' + chr(1093 - 1045), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110011 + 0o74) + chr(0b1011 + 0o47) + '\x37' + chr(0b100110 + 0o17), 40051 - 40043), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b10 + 0o155) + chr(2267 - 2217) + '\066' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + chr(50) + '\x31' + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + '\062' + chr(0b101000 + 0o11) + chr(0b110101 + 0o2), 0o10), ehT0Px3KOsy9(chr(1454 - 1406) + chr(4787 - 4676) + '\x32' + chr(0b10000 + 0o42) + chr(1812 - 1764), 22003 - 21995), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101110 + 0o5) + chr(0b110110) + chr(1044 - 992), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1118 - 1007) + '\x33' + chr(0b11 + 0o55), 0o10), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(190 - 139) + chr(53) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110010) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b1111 + 0o44) + chr(0b1101 + 0o45) + chr(299 - 249), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1449 - 1399) + chr(55) + '\060', 60265 - 60257), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(2317 - 2262) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b101000 + 0o10) + chr(88 - 33), 41842 - 41834), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b1111 + 0o42) + chr(2396 - 2344), 65368 - 65360), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1111 + 0o44) + chr(532 - 478) + chr(0b100011 + 0o21), 8), ehT0Px3KOsy9('\x30' + chr(5476 - 5365) + chr(0b110001) + chr(0b110011) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(11248 - 11137) + '\061' + '\x35' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + '\x37' + '\x36', 10160 - 10152), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b110111) + chr(0b10 + 0o57), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\067' + chr(0b110100), 49370 - 49362), ehT0Px3KOsy9(chr(48) + chr(7150 - 7039) + '\x32' + chr(50) + '\061', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(2004 - 1951) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b','), chr(100) + chr(0b1001 + 0o134) + '\143' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b1110101) + '\x74' + chr(0b1100110) + '\x2d' + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def rXZQ93MYy7Ty(wZZwFGOvGzGN): lL9cf6eC7Lgj = wZZwFGOvGzGN[:, ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 65147 - 65139)] cQ6vn4SmY5Uc = wZZwFGOvGzGN[:, ehT0Px3KOsy9('\060' + chr(0b1000 + 0o147) + chr(0b110010), 8)] _5dRZ2e9RhRI = WqUC3KWvYVup.B0ePDhpqxN5n([OeWW0F1dBPRQ < WqUC3KWvYVup.arange(ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(3437 - 3326) + '\061' + chr(0b110001) + chr(0b110011) + '\060', 0b1000)) for OeWW0F1dBPRQ in lL9cf6eC7Lgj], dtype=WqUC3KWvYVup.uint8) mMxsSTypxaaE = WqUC3KWvYVup.B0ePDhpqxN5n([OeWW0F1dBPRQ < WqUC3KWvYVup.arange(ehT0Px3KOsy9(chr(1469 - 1421) + chr(0b1101111) + chr(49) + '\x31' + chr(960 - 909) + '\060', 8)) for OeWW0F1dBPRQ in cQ6vn4SmY5Uc], dtype=WqUC3KWvYVup.uint8) return (_5dRZ2e9RhRI, mMxsSTypxaaE)
apache/incubator-mxnet
example/rcnn/symimdb/coco.py
coco._load_annotation
def _load_annotation(self, _coco, coco_ind_to_class_ind, index): """ coco ann: [u'segmentation', u'area', u'iscrowd', u'image_id', u'bbox', u'category_id', u'id'] iscrowd: crowd instances are handled by marking their overlaps with all categories to -1 and later excluded in training bbox: [x1, y1, w, h] :param index: coco image id :return: roidb entry """ im_ann = _coco.loadImgs(index)[0] filename = self._image_file_tmpl.format(im_ann['file_name']) width = im_ann['width'] height = im_ann['height'] annIds = _coco.getAnnIds(imgIds=index, iscrowd=None) objs = _coco.loadAnns(annIds) # sanitize bboxes valid_objs = [] for obj in objs: x, y, w, h = obj['bbox'] x1 = np.max((0, x)) y1 = np.max((0, y)) x2 = np.min((width - 1, x1 + np.max((0, w - 1)))) y2 = np.min((height - 1, y1 + np.max((0, h - 1)))) if obj['area'] > 0 and x2 >= x1 and y2 >= y1: obj['clean_bbox'] = [x1, y1, x2, y2] valid_objs.append(obj) objs = valid_objs num_objs = len(objs) boxes = np.zeros((num_objs, 4), dtype=np.uint16) gt_classes = np.zeros((num_objs,), dtype=np.int32) for ix, obj in enumerate(objs): cls = coco_ind_to_class_ind[obj['category_id']] boxes[ix, :] = obj['clean_bbox'] gt_classes[ix] = cls roi_rec = {'index': index, 'image': filename, 'height': height, 'width': width, 'boxes': boxes, 'gt_classes': gt_classes, 'flipped': False} return roi_rec
python
def _load_annotation(self, _coco, coco_ind_to_class_ind, index): """ coco ann: [u'segmentation', u'area', u'iscrowd', u'image_id', u'bbox', u'category_id', u'id'] iscrowd: crowd instances are handled by marking their overlaps with all categories to -1 and later excluded in training bbox: [x1, y1, w, h] :param index: coco image id :return: roidb entry """ im_ann = _coco.loadImgs(index)[0] filename = self._image_file_tmpl.format(im_ann['file_name']) width = im_ann['width'] height = im_ann['height'] annIds = _coco.getAnnIds(imgIds=index, iscrowd=None) objs = _coco.loadAnns(annIds) # sanitize bboxes valid_objs = [] for obj in objs: x, y, w, h = obj['bbox'] x1 = np.max((0, x)) y1 = np.max((0, y)) x2 = np.min((width - 1, x1 + np.max((0, w - 1)))) y2 = np.min((height - 1, y1 + np.max((0, h - 1)))) if obj['area'] > 0 and x2 >= x1 and y2 >= y1: obj['clean_bbox'] = [x1, y1, x2, y2] valid_objs.append(obj) objs = valid_objs num_objs = len(objs) boxes = np.zeros((num_objs, 4), dtype=np.uint16) gt_classes = np.zeros((num_objs,), dtype=np.int32) for ix, obj in enumerate(objs): cls = coco_ind_to_class_ind[obj['category_id']] boxes[ix, :] = obj['clean_bbox'] gt_classes[ix] = cls roi_rec = {'index': index, 'image': filename, 'height': height, 'width': width, 'boxes': boxes, 'gt_classes': gt_classes, 'flipped': False} return roi_rec
[ "def", "_load_annotation", "(", "self", ",", "_coco", ",", "coco_ind_to_class_ind", ",", "index", ")", ":", "im_ann", "=", "_coco", ".", "loadImgs", "(", "index", ")", "[", "0", "]", "filename", "=", "self", ".", "_image_file_tmpl", ".", "format", "(", "im_ann", "[", "'file_name'", "]", ")", "width", "=", "im_ann", "[", "'width'", "]", "height", "=", "im_ann", "[", "'height'", "]", "annIds", "=", "_coco", ".", "getAnnIds", "(", "imgIds", "=", "index", ",", "iscrowd", "=", "None", ")", "objs", "=", "_coco", ".", "loadAnns", "(", "annIds", ")", "# sanitize bboxes", "valid_objs", "=", "[", "]", "for", "obj", "in", "objs", ":", "x", ",", "y", ",", "w", ",", "h", "=", "obj", "[", "'bbox'", "]", "x1", "=", "np", ".", "max", "(", "(", "0", ",", "x", ")", ")", "y1", "=", "np", ".", "max", "(", "(", "0", ",", "y", ")", ")", "x2", "=", "np", ".", "min", "(", "(", "width", "-", "1", ",", "x1", "+", "np", ".", "max", "(", "(", "0", ",", "w", "-", "1", ")", ")", ")", ")", "y2", "=", "np", ".", "min", "(", "(", "height", "-", "1", ",", "y1", "+", "np", ".", "max", "(", "(", "0", ",", "h", "-", "1", ")", ")", ")", ")", "if", "obj", "[", "'area'", "]", ">", "0", "and", "x2", ">=", "x1", "and", "y2", ">=", "y1", ":", "obj", "[", "'clean_bbox'", "]", "=", "[", "x1", ",", "y1", ",", "x2", ",", "y2", "]", "valid_objs", ".", "append", "(", "obj", ")", "objs", "=", "valid_objs", "num_objs", "=", "len", "(", "objs", ")", "boxes", "=", "np", ".", "zeros", "(", "(", "num_objs", ",", "4", ")", ",", "dtype", "=", "np", ".", "uint16", ")", "gt_classes", "=", "np", ".", "zeros", "(", "(", "num_objs", ",", ")", ",", "dtype", "=", "np", ".", "int32", ")", "for", "ix", ",", "obj", "in", "enumerate", "(", "objs", ")", ":", "cls", "=", "coco_ind_to_class_ind", "[", "obj", "[", "'category_id'", "]", "]", "boxes", "[", "ix", ",", ":", "]", "=", "obj", "[", "'clean_bbox'", "]", "gt_classes", "[", "ix", "]", "=", "cls", "roi_rec", "=", "{", "'index'", ":", "index", ",", "'image'", ":", "filename", ",", "'height'", ":", "height", ",", "'width'", ":", "width", ",", "'boxes'", ":", "boxes", ",", "'gt_classes'", ":", "gt_classes", ",", "'flipped'", ":", "False", "}", "return", "roi_rec" ]
coco ann: [u'segmentation', u'area', u'iscrowd', u'image_id', u'bbox', u'category_id', u'id'] iscrowd: crowd instances are handled by marking their overlaps with all categories to -1 and later excluded in training bbox: [x1, y1, w, h] :param index: coco image id :return: roidb entry
[ "coco", "ann", ":", "[", "u", "segmentation", "u", "area", "u", "iscrowd", "u", "image_id", "u", "bbox", "u", "category_id", "u", "id", "]", "iscrowd", ":", "crowd", "instances", "are", "handled", "by", "marking", "their", "overlaps", "with", "all", "categories", "to", "-", "1", "and", "later", "excluded", "in", "training", "bbox", ":", "[", "x1", "y1", "w", "h", "]", ":", "param", "index", ":", "coco", "image", "id", ":", "return", ":", "roidb", "entry" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rcnn/symimdb/coco.py#L78-L125
train
Load an annotation file and return a ROIDB entry.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(455 - 407) + chr(0b1010011 + 0o34) + chr(0b101101 + 0o6) + '\x34' + '\062', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(55) + chr(0b101110 + 0o4), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(54) + chr(1341 - 1288), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(0b110010) + '\066' + chr(0b10101 + 0o40), 23019 - 23011), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + '\062' + '\063' + chr(0b10000 + 0o44), 0b1000), ehT0Px3KOsy9('\x30' + chr(5998 - 5887) + chr(0b110010) + '\x36' + chr(0b100011 + 0o21), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110011) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1125 - 1074) + chr(0b110100) + chr(0b100001 + 0o26), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1483 - 1432) + '\060' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(1708 - 1657) + '\062' + chr(0b110000 + 0o4), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\x31' + chr(48) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b100011 + 0o24) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b10001 + 0o136) + '\x32' + chr(48) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + chr(0b1100 + 0o47) + chr(0b110011) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\x30' + chr(0b10100 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + '\x33' + chr(51) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1411 - 1360) + '\x31' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(49) + chr(0b110000), 9354 - 9346), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b111 + 0o150) + '\x31' + chr(48) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(0b110001) + chr(48) + '\x36', 8), ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + chr(54) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(11250 - 11139) + '\061' + chr(0b110111) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b110101 + 0o72) + chr(0b110001) + chr(1769 - 1720) + '\x37', 47159 - 47151), ehT0Px3KOsy9('\x30' + chr(1038 - 927) + '\064' + chr(0b1001 + 0o50), 63810 - 63802), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(11088 - 10977) + chr(49) + chr(0b110010) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\067' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(347 - 295) + chr(0b10010 + 0o42), 57355 - 57347), ehT0Px3KOsy9('\060' + chr(0b100000 + 0o117) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(54), 23484 - 23476), ehT0Px3KOsy9('\x30' + chr(3637 - 3526) + '\x32' + chr(661 - 609) + chr(133 - 85), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10000 + 0o42) + '\x34' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(0b11011 + 0o30) + chr(0b1101 + 0o46) + chr(0b111 + 0o57), 1311 - 1303), ehT0Px3KOsy9(chr(1029 - 981) + chr(1554 - 1443) + chr(0b101000 + 0o13) + '\x32' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(2086 - 2038) + chr(0b1101111) + '\062' + chr(0b110100) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + '\063' + '\066' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b10 + 0o64) + chr(0b11 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + '\x32' + chr(49) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10100 + 0o37) + chr(2437 - 2384) + chr(2088 - 2036), 0b1000), ehT0Px3KOsy9(chr(1517 - 1469) + '\x6f' + chr(51) + chr(0b11 + 0o57), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b110101) + chr(0b101011 + 0o5), 49285 - 49277)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc'), chr(6569 - 6469) + chr(0b1010 + 0o133) + chr(99) + chr(0b100111 + 0o110) + chr(3710 - 3610) + chr(0b1100010 + 0o3))('\165' + '\164' + '\146' + chr(958 - 913) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def kJOwZNCfH_Xm(oVre8I6UXc3b, AGN5tUZ0uo_D, l7UdDZFkXY0P, XdowRbJKZWL9): RYLoctR4B_eA = AGN5tUZ0uo_D.loadImgs(XdowRbJKZWL9)[ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 8)] xw4DsBfIJ22E = oVre8I6UXc3b._image_file_tmpl.V4roHaS3Ppej(RYLoctR4B_eA[xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\x93\x19\xd0\xc3\xda\xf8\x8a\xa4'), '\144' + '\x65' + chr(0b1100011) + chr(6035 - 5924) + '\x64' + '\145')(chr(0b1110101) + '\164' + '\146' + chr(45) + chr(1512 - 1456))]) mPx09rBTrGXR = RYLoctR4B_eA[xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\x93\x11\xc1\xf4'), chr(8057 - 7957) + chr(0b1100101) + chr(7404 - 7305) + '\157' + '\x64' + chr(7339 - 7238))(chr(0b111011 + 0o72) + chr(116) + chr(8284 - 8182) + chr(0b100010 + 0o13) + chr(0b100010 + 0o26))] ehbUULKuygfC = RYLoctR4B_eA[xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x9f\x1c\xd2\xf4\xc0'), '\144' + '\x65' + chr(0b1100001 + 0o2) + '\x6f' + '\x64' + chr(0b1100101))(chr(516 - 399) + '\164' + chr(102) + '\x2d' + chr(0b10000 + 0o50))] pnHUYzTnIwxS = AGN5tUZ0uo_D.getAnnIds(imgIds=XdowRbJKZWL9, iscrowd=None) RPf1nbYRQtES = AGN5tUZ0uo_D.loadAnns(pnHUYzTnIwxS) MUZLVtkcyVid = [] for mDuDykdz0pcm in RPf1nbYRQtES: (OeWW0F1dBPRQ, SqiSOtYOqOJH, AOfzRywRzEXp, sz4HVsFVF8nL) = mDuDykdz0pcm[xafqLlk3kkUe(SXOLrMavuUCe(b'\x80\x98\x1a\xcd'), chr(0b10010 + 0o122) + chr(101) + chr(8774 - 8675) + '\x6f' + chr(100) + chr(101))('\x75' + chr(116) + chr(102) + chr(0b110 + 0o47) + chr(0b111000))] pci1T9SDshKa = WqUC3KWvYVup.tsdjvlgh9gDP((ehT0Px3KOsy9(chr(1668 - 1620) + '\x6f' + '\060', 8), OeWW0F1dBPRQ)) bdlzQNguJ1X_ = WqUC3KWvYVup.tsdjvlgh9gDP((ehT0Px3KOsy9('\060' + '\157' + chr(69 - 21), 8), SqiSOtYOqOJH)) OVXzvB9BcGF_ = WqUC3KWvYVup.Dx22bkKPdt5d((mPx09rBTrGXR - ehT0Px3KOsy9(chr(48) + chr(11293 - 11182) + chr(1542 - 1493), 8), pci1T9SDshKa + WqUC3KWvYVup.tsdjvlgh9gDP((ehT0Px3KOsy9(chr(48) + chr(496 - 385) + chr(48), 8), AOfzRywRzEXp - ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100 + 0o55), 8))))) dgC_QAONOODe = WqUC3KWvYVup.Dx22bkKPdt5d((ehbUULKuygfC - ehT0Px3KOsy9(chr(48) + chr(0b1011001 + 0o26) + '\061', 8), bdlzQNguJ1X_ + WqUC3KWvYVup.tsdjvlgh9gDP((ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x30', 8), sz4HVsFVF8nL - ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49), 8))))) if mDuDykdz0pcm[xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x88\x10\xd4'), chr(0b10111 + 0o115) + chr(101) + '\143' + chr(0b11110 + 0o121) + chr(0b1100100) + chr(0b1100101))(chr(8914 - 8797) + chr(0b1110100) + chr(0b1100110) + '\055' + '\x38')] > ehT0Px3KOsy9(chr(2270 - 2222) + '\157' + chr(843 - 795), 8) and OVXzvB9BcGF_ >= pci1T9SDshKa and (dgC_QAONOODe >= bdlzQNguJ1X_): mDuDykdz0pcm[xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\x96\x10\xd4\xf2\xeb\xfb\x85\xae\xac'), '\144' + chr(101) + chr(99) + '\x6f' + chr(100) + '\x65')(chr(0b1110101) + '\164' + '\146' + chr(1093 - 1048) + chr(2424 - 2368))] = [pci1T9SDshKa, bdlzQNguJ1X_, OVXzvB9BcGF_, dgC_QAONOODe] xafqLlk3kkUe(MUZLVtkcyVid, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x8a\x05\xd0\xf2\xd0'), '\x64' + chr(0b1100101) + '\143' + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b101101) + chr(2518 - 2462)))(mDuDykdz0pcm) RPf1nbYRQtES = MUZLVtkcyVid oAsij9FpsCme = c2A0yzQpDQB3(RPf1nbYRQtES) mPwyLyFt1Son = WqUC3KWvYVup.zeros((oAsij9FpsCme, ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + '\064', 0o10)), dtype=WqUC3KWvYVup.uint16) FT1w31MLZOyT = WqUC3KWvYVup.zeros((oAsij9FpsCme,), dtype=WqUC3KWvYVup.int32) for (NhWUxmSUCcoW, mDuDykdz0pcm) in YlkZvXL8qwsX(RPf1nbYRQtES): NSstowUUZlxS = l7UdDZFkXY0P[mDuDykdz0pcm[xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\x9b\x01\xd0\xfb\xdb\xeb\x9e\x9e\xbde'), chr(100) + chr(0b1000010 + 0o43) + '\x63' + chr(0b1101111) + '\x64' + chr(1392 - 1291))('\165' + '\164' + chr(102) + '\055' + '\x38')]] mPwyLyFt1Son[NhWUxmSUCcoW, :] = mDuDykdz0pcm[xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\x96\x10\xd4\xf2\xeb\xfb\x85\xae\xac'), chr(8665 - 8565) + '\145' + chr(7135 - 7036) + '\157' + chr(0b1100100) + '\x65')('\x75' + '\x74' + chr(102) + chr(45) + chr(0b110011 + 0o5))] FT1w31MLZOyT[NhWUxmSUCcoW] = NSstowUUZlxS LkIPsZ6FXJNE = {xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x94\x11\xd0\xe4'), chr(0b1010110 + 0o16) + chr(1161 - 1060) + chr(6431 - 6332) + chr(0b1101111) + '\x64' + chr(0b10100 + 0o121))(chr(1196 - 1079) + chr(0b111101 + 0o67) + chr(0b1011101 + 0o11) + '\x2d' + chr(56)): XdowRbJKZWL9, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x97\x14\xd2\xf9'), '\x64' + chr(0b1001101 + 0o30) + chr(0b1010011 + 0o20) + chr(111) + '\x64' + chr(9682 - 9581))(chr(117) + '\164' + '\x66' + chr(0b1001 + 0o44) + '\x38'): xw4DsBfIJ22E, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x9f\x1c\xd2\xf4\xc0'), '\x64' + '\145' + '\143' + chr(111) + chr(100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b1000110 + 0o40) + '\x2d' + '\x38'): ehbUULKuygfC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\x93\x11\xc1\xf4'), chr(100) + '\x65' + chr(0b10 + 0o141) + chr(9401 - 9290) + chr(9717 - 9617) + '\x65')('\x75' + '\164' + '\146' + '\x2d' + '\070'): mPx09rBTrGXR, xafqLlk3kkUe(SXOLrMavuUCe(b'\x80\x95\r\xd0\xef'), chr(0b1001111 + 0o25) + chr(0b10111 + 0o116) + '\143' + '\157' + '\144' + '\145')(chr(0b1000010 + 0o63) + chr(0b1010010 + 0o42) + chr(363 - 261) + chr(45) + '\070'): mPwyLyFt1Son, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85\x8e*\xd6\xf0\xd5\xea\x94\xa4\xa7'), '\x64' + chr(0b1100101) + chr(9220 - 9121) + chr(0b111000 + 0o67) + chr(0b1001101 + 0o27) + chr(0b1100101))(chr(11734 - 11617) + chr(4499 - 4383) + chr(0b1010 + 0o134) + '\055' + chr(1165 - 1109)): FT1w31MLZOyT, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\x96\x1c\xc5\xec\xd1\xfd'), chr(0b1100100) + '\x65' + chr(6713 - 6614) + chr(8465 - 8354) + chr(100) + chr(386 - 285))(chr(0b11110 + 0o127) + chr(469 - 353) + chr(0b1100110) + '\055' + '\070'): ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 8)} return LkIPsZ6FXJNE
apache/incubator-mxnet
example/rcnn/symimdb/coco.py
coco._write_coco_results
def _write_coco_results(self, _coco, detections): """ example results [{"image_id": 42, "category_id": 18, "bbox": [258.15,41.29,348.26,243.78], "score": 0.236}, ...] """ cats = [cat['name'] for cat in _coco.loadCats(_coco.getCatIds())] class_to_coco_ind = dict(zip(cats, _coco.getCatIds())) results = [] for cls_ind, cls in enumerate(self.classes): if cls == '__background__': continue logger.info('collecting %s results (%d/%d)' % (cls, cls_ind, self.num_classes - 1)) coco_cat_id = class_to_coco_ind[cls] results.extend(self._coco_results_one_category(detections[cls_ind], coco_cat_id)) logger.info('writing results json to %s' % self._result_file) with open(self._result_file, 'w') as f: json.dump(results, f, sort_keys=True, indent=4)
python
def _write_coco_results(self, _coco, detections): """ example results [{"image_id": 42, "category_id": 18, "bbox": [258.15,41.29,348.26,243.78], "score": 0.236}, ...] """ cats = [cat['name'] for cat in _coco.loadCats(_coco.getCatIds())] class_to_coco_ind = dict(zip(cats, _coco.getCatIds())) results = [] for cls_ind, cls in enumerate(self.classes): if cls == '__background__': continue logger.info('collecting %s results (%d/%d)' % (cls, cls_ind, self.num_classes - 1)) coco_cat_id = class_to_coco_ind[cls] results.extend(self._coco_results_one_category(detections[cls_ind], coco_cat_id)) logger.info('writing results json to %s' % self._result_file) with open(self._result_file, 'w') as f: json.dump(results, f, sort_keys=True, indent=4)
[ "def", "_write_coco_results", "(", "self", ",", "_coco", ",", "detections", ")", ":", "cats", "=", "[", "cat", "[", "'name'", "]", "for", "cat", "in", "_coco", ".", "loadCats", "(", "_coco", ".", "getCatIds", "(", ")", ")", "]", "class_to_coco_ind", "=", "dict", "(", "zip", "(", "cats", ",", "_coco", ".", "getCatIds", "(", ")", ")", ")", "results", "=", "[", "]", "for", "cls_ind", ",", "cls", "in", "enumerate", "(", "self", ".", "classes", ")", ":", "if", "cls", "==", "'__background__'", ":", "continue", "logger", ".", "info", "(", "'collecting %s results (%d/%d)'", "%", "(", "cls", ",", "cls_ind", ",", "self", ".", "num_classes", "-", "1", ")", ")", "coco_cat_id", "=", "class_to_coco_ind", "[", "cls", "]", "results", ".", "extend", "(", "self", ".", "_coco_results_one_category", "(", "detections", "[", "cls_ind", "]", ",", "coco_cat_id", ")", ")", "logger", ".", "info", "(", "'writing results json to %s'", "%", "self", ".", "_result_file", ")", "with", "open", "(", "self", ".", "_result_file", ",", "'w'", ")", "as", "f", ":", "json", ".", "dump", "(", "results", ",", "f", ",", "sort_keys", "=", "True", ",", "indent", "=", "4", ")" ]
example results [{"image_id": 42, "category_id": 18, "bbox": [258.15,41.29,348.26,243.78], "score": 0.236}, ...]
[ "example", "results", "[", "{", "image_id", ":", "42", "category_id", ":", "18", "bbox", ":", "[", "258", ".", "15", "41", ".", "29", "348", ".", "26", "243", ".", "78", "]", "score", ":", "0", ".", "236", "}", "...", "]" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rcnn/symimdb/coco.py#L132-L150
train
write the results to the result 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) + chr(5877 - 5766) + '\063' + chr(0b110011) + chr(0b10010 + 0o40), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3660 - 3549) + '\061' + '\067', 0b1000), ehT0Px3KOsy9(chr(684 - 636) + '\157' + '\x33' + '\x35' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + '\062' + '\x35' + chr(53), 55915 - 55907), ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + chr(0b101100 + 0o10) + '\062', 0b1000), ehT0Px3KOsy9(chr(2085 - 2037) + '\x6f' + '\063' + chr(0b110001) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(4134 - 4023) + chr(49) + '\x33' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1437 - 1389) + '\157' + chr(294 - 244) + chr(0b110110) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(54) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(871 - 823) + chr(0b1101111) + '\x31' + chr(0b110011) + chr(1291 - 1237), 5697 - 5689), ehT0Px3KOsy9(chr(0b110000) + chr(10841 - 10730) + chr(0b110001) + chr(0b100110 + 0o16) + chr(52), 25102 - 25094), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110110) + chr(55), 30547 - 30539), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10000 + 0o43) + '\060', 50331 - 50323), ehT0Px3KOsy9(chr(1176 - 1128) + '\157' + chr(535 - 484) + '\x35' + chr(1431 - 1376), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\061' + chr(2489 - 2438) + '\x36', 8), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\065' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1558 - 1510) + '\x6f' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10100 + 0o36) + chr(50) + chr(55), 54063 - 54055), ehT0Px3KOsy9('\060' + chr(0b1000 + 0o147) + '\063' + chr(0b110110) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(596 - 485) + chr(159 - 109) + chr(52) + chr(1030 - 982), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001 + 0o146) + chr(0b10000 + 0o44) + chr(1653 - 1603), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(54) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(50) + '\062', 39602 - 39594), ehT0Px3KOsy9('\x30' + chr(7368 - 7257) + '\062' + chr(2135 - 2085), 17620 - 17612), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b10 + 0o63) + '\x35', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10010 + 0o41) + chr(54) + '\067', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b100011 + 0o21) + chr(91 - 40), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b110100) + chr(0b101 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(1748 - 1637) + chr(2182 - 2133) + chr(49) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(2299 - 2251) + chr(111) + chr(51) + chr(0b110111) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + chr(49) + '\x31' + chr(321 - 267), 0b1000), ehT0Px3KOsy9(chr(1572 - 1524) + '\x6f' + chr(49) + '\065' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b101111 + 0o100) + chr(0b110001) + chr(1389 - 1336) + chr(52), 8894 - 8886), ehT0Px3KOsy9(chr(48) + chr(0b1010110 + 0o31) + chr(51) + chr(49) + chr(0b1100 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x37' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\066' + chr(131 - 77), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(55) + chr(2579 - 2524), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + chr(50) + chr(2031 - 1981) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b110010) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1 + 0o156) + chr(49) + '\x35', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + chr(0b101000 + 0o10), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4'), '\x64' + chr(830 - 729) + '\143' + chr(0b1101111) + chr(0b111001 + 0o53) + chr(3470 - 3369))(chr(0b101 + 0o160) + chr(116) + chr(102) + chr(1830 - 1785) + chr(1041 - 985)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def N9IMM8gfq3ik(oVre8I6UXc3b, AGN5tUZ0uo_D, rH0oaknbL_Cd): _IZEDmb5AMbL = [re0VVGAVKu27[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4n\x81\xc8'), '\144' + '\145' + chr(99) + chr(0b1100000 + 0o17) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b111101 + 0o51) + chr(45) + chr(1857 - 1801))] for re0VVGAVKu27 in AGN5tUZ0uo_D.loadCats(AGN5tUZ0uo_D.getCatIds())] tP_6cJDbnqG4 = wLqBDw8l0eIm(pZ0NK2y6HRbn(_IZEDmb5AMbL, AGN5tUZ0uo_D.getCatIds())) iIGKX2zSEGYP = [] for (Py5_suCSq4Wu, NSstowUUZlxS) in YlkZvXL8qwsX(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbba\xa3\x9e@\xafm\xee\x1b\x137\xb2'), '\144' + chr(101) + chr(99) + '\x6f' + '\144' + '\x65')(chr(0b1110101) + chr(9198 - 9082) + '\x66' + '\x2d' + chr(620 - 564)))): if NSstowUUZlxS == xafqLlk3kkUe(SXOLrMavuUCe(b'\x85P\x8e\xccA\xa38\xc3\x1c+\n\x93G\xb0'), '\144' + chr(6701 - 6600) + '\x63' + chr(0b100000 + 0o117) + chr(100) + chr(0b110100 + 0o61))('\x75' + '\x74' + chr(4519 - 4417) + '\055' + chr(56)): continue xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\x898\xa4\xd5W\xab8\x86\x192>\x9c'), chr(0b1100100) + chr(101) + chr(0b101100 + 0o67) + '\157' + chr(8624 - 8524) + '\x65')(chr(0b111111 + 0o66) + chr(6795 - 6679) + chr(2957 - 2855) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9`\x80\xc1G\xab+\xd8\x1d9D\xd2k\xcf,\x88r\xe2\x9e\xd4QR\xfa7\xc9\xd8\x06\x07a'), '\x64' + '\145' + '\143' + '\x6f' + '\x64' + chr(0b1000001 + 0o44))(chr(0b10 + 0o163) + '\164' + chr(102) + chr(0b101101) + chr(1915 - 1859)) % (NSstowUUZlxS, Py5_suCSq4Wu, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb39\x80\xc2[\x898\xc9&\x13V\x83'), chr(0b1100100) + chr(9080 - 8979) + chr(8109 - 8010) + chr(0b1101111) + '\144' + '\x65')('\x75' + chr(116) + chr(0b1100110) + '\055' + chr(0b1100 + 0o54))) - ehT0Px3KOsy9(chr(1338 - 1290) + chr(0b1010111 + 0o30) + chr(49), 8))) NzCE9Jjb5RB8 = tP_6cJDbnqG4[NSstowUUZlxS] xafqLlk3kkUe(iIGKX2zSEGYP, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbfw\x98\xc8L\xac'), '\x64' + chr(0b100100 + 0o101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b1010100 + 0o41) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(1742 - 1686)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85l\x83\xceM\x97-\xd4\x00+\x08\x83k\xb01\x83d\xc8\x91\xc1V\x17\xb5}\xdf\x8e'), chr(0b1100100) + chr(101) + '\x63' + chr(111) + chr(0b1100100) + '\145')(chr(117) + chr(0b1101101 + 0o7) + chr(0b1000010 + 0o44) + chr(1679 - 1634) + '\x38'))(rH0oaknbL_Cd[Py5_suCSq4Wu], NzCE9Jjb5RB8)) xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\x898\xa4\xd5W\xab8\x86\x192>\x9c'), chr(100) + '\145' + chr(0b1100011) + chr(4358 - 4247) + chr(0b111100 + 0o50) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xad}\x85\xd9K\xa68\x91\x01;\x17\x82t\x9b-\xcdk\xe4\x9d\xce\x02\x06\xbd2\x88\x84'), chr(100) + chr(8018 - 7917) + '\x63' + '\157' + '\144' + chr(101))('\165' + '\x74' + chr(0b1100110) + '\055' + chr(1226 - 1170)) % xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85}\x89\xdeW\xa4+\xee\x157\x08\x92'), chr(4934 - 4834) + chr(0b1000100 + 0o41) + chr(1165 - 1066) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b10001 + 0o143) + chr(0b1100000 + 0o6) + chr(0b101101) + chr(0b110 + 0o62)))) with _fwkIVCGgtAN(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85}\x89\xdeW\xa4+\xee\x157\x08\x92'), '\144' + chr(0b1100101) + chr(0b1011000 + 0o13) + chr(3414 - 3303) + chr(0b1100100) + chr(0b1100101))(chr(6620 - 6503) + '\164' + '\x66' + '\x2d' + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xad'), chr(8769 - 8669) + chr(101) + chr(0b1101 + 0o126) + '\x6f' + chr(0b1011011 + 0o11) + chr(0b1100101))(chr(0b1100000 + 0o25) + chr(116) + chr(7597 - 7495) + chr(0b101101) + chr(0b1 + 0o67))) as EGyt1xfPT1P6: xafqLlk3kkUe(fXk443epxtd5, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbez\x81\xdd'), '\144' + chr(0b1000101 + 0o40) + chr(7706 - 7607) + chr(0b111 + 0o150) + chr(4622 - 4522) + chr(101))(chr(0b1110010 + 0o3) + '\164' + '\x66' + chr(0b101101) + chr(2406 - 2350)))(iIGKX2zSEGYP, EGyt1xfPT1P6, sort_keys=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101000 + 0o7) + '\x31', 8), indent=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110100), ord("\x08")))
apache/incubator-mxnet
python/mxnet/ndarray/contrib.py
rand_zipfian
def rand_zipfian(true_classes, num_sampled, range_max, ctx=None): """Draw random samples from an approximately log-uniform or Zipfian distribution. This operation randomly samples *num_sampled* candidates the range of integers [0, range_max). The elements of sampled_candidates are drawn with replacement from the base distribution. The base distribution for this operator is an approximately log-uniform or Zipfian distribution: P(class) = (log(class + 2) - log(class + 1)) / log(range_max + 1) This sampler is useful when the true classes approximately follow such a distribution. For example, if the classes represent words in a lexicon sorted in decreasing order of \ frequency. If your classes are not ordered by decreasing frequency, do not use this op. Additionaly, it also returns the number of times each of the \ true classes and the sampled classes is expected to occur. Parameters ---------- true_classes : NDArray A 1-D NDArray of the target classes. num_sampled: int The number of classes to randomly sample. range_max: int The number of possible classes. ctx : Context Device context of output. Default is current context. Returns ------- samples: NDArray The sampled candidate classes in 1-D `int64` dtype. expected_count_true: NDArray The expected count for true classes in 1-D `float64` dtype. expected_count_sample: NDArray The expected count for sampled candidates in 1-D `float64` dtype. Examples -------- >>> true_cls = mx.nd.array([3]) >>> samples, exp_count_true, exp_count_sample = mx.nd.contrib.rand_zipfian(true_cls, 4, 5) >>> samples [1 3 3 3] <NDArray 4 @cpu(0)> >>> exp_count_true [ 0.12453879] <NDArray 1 @cpu(0)> >>> exp_count_sample [ 0.22629439 0.12453879 0.12453879 0.12453879] <NDArray 4 @cpu(0)> """ if ctx is None: ctx = current_context() log_range = math.log(range_max + 1) rand = uniform(0, log_range, shape=(num_sampled,), dtype='float64', ctx=ctx) # make sure sampled_classes are in the range of [0, range_max) sampled_classes = (rand.exp() - 1).astype('int64') % range_max true_cls = true_classes.as_in_context(ctx).astype('float64') expected_count_true = ((true_cls + 2.0) / (true_cls + 1.0)).log() / log_range * num_sampled # cast sampled classes to fp64 to avoid interget division sampled_cls_fp64 = sampled_classes.astype('float64') expected_prob_sampled = ((sampled_cls_fp64 + 2.0) / (sampled_cls_fp64 + 1.0)).log() / log_range expected_count_sampled = expected_prob_sampled * num_sampled return sampled_classes, expected_count_true, expected_count_sampled
python
def rand_zipfian(true_classes, num_sampled, range_max, ctx=None): """Draw random samples from an approximately log-uniform or Zipfian distribution. This operation randomly samples *num_sampled* candidates the range of integers [0, range_max). The elements of sampled_candidates are drawn with replacement from the base distribution. The base distribution for this operator is an approximately log-uniform or Zipfian distribution: P(class) = (log(class + 2) - log(class + 1)) / log(range_max + 1) This sampler is useful when the true classes approximately follow such a distribution. For example, if the classes represent words in a lexicon sorted in decreasing order of \ frequency. If your classes are not ordered by decreasing frequency, do not use this op. Additionaly, it also returns the number of times each of the \ true classes and the sampled classes is expected to occur. Parameters ---------- true_classes : NDArray A 1-D NDArray of the target classes. num_sampled: int The number of classes to randomly sample. range_max: int The number of possible classes. ctx : Context Device context of output. Default is current context. Returns ------- samples: NDArray The sampled candidate classes in 1-D `int64` dtype. expected_count_true: NDArray The expected count for true classes in 1-D `float64` dtype. expected_count_sample: NDArray The expected count for sampled candidates in 1-D `float64` dtype. Examples -------- >>> true_cls = mx.nd.array([3]) >>> samples, exp_count_true, exp_count_sample = mx.nd.contrib.rand_zipfian(true_cls, 4, 5) >>> samples [1 3 3 3] <NDArray 4 @cpu(0)> >>> exp_count_true [ 0.12453879] <NDArray 1 @cpu(0)> >>> exp_count_sample [ 0.22629439 0.12453879 0.12453879 0.12453879] <NDArray 4 @cpu(0)> """ if ctx is None: ctx = current_context() log_range = math.log(range_max + 1) rand = uniform(0, log_range, shape=(num_sampled,), dtype='float64', ctx=ctx) # make sure sampled_classes are in the range of [0, range_max) sampled_classes = (rand.exp() - 1).astype('int64') % range_max true_cls = true_classes.as_in_context(ctx).astype('float64') expected_count_true = ((true_cls + 2.0) / (true_cls + 1.0)).log() / log_range * num_sampled # cast sampled classes to fp64 to avoid interget division sampled_cls_fp64 = sampled_classes.astype('float64') expected_prob_sampled = ((sampled_cls_fp64 + 2.0) / (sampled_cls_fp64 + 1.0)).log() / log_range expected_count_sampled = expected_prob_sampled * num_sampled return sampled_classes, expected_count_true, expected_count_sampled
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Draw random samples from an approximately log-uniform or Zipfian distribution. This operation randomly samples *num_sampled* candidates the range of integers [0, range_max). The elements of sampled_candidates are drawn with replacement from the base distribution. The base distribution for this operator is an approximately log-uniform or Zipfian distribution: P(class) = (log(class + 2) - log(class + 1)) / log(range_max + 1) This sampler is useful when the true classes approximately follow such a distribution. For example, if the classes represent words in a lexicon sorted in decreasing order of \ frequency. If your classes are not ordered by decreasing frequency, do not use this op. Additionaly, it also returns the number of times each of the \ true classes and the sampled classes is expected to occur. Parameters ---------- true_classes : NDArray A 1-D NDArray of the target classes. num_sampled: int The number of classes to randomly sample. range_max: int The number of possible classes. ctx : Context Device context of output. Default is current context. Returns ------- samples: NDArray The sampled candidate classes in 1-D `int64` dtype. expected_count_true: NDArray The expected count for true classes in 1-D `float64` dtype. expected_count_sample: NDArray The expected count for sampled candidates in 1-D `float64` dtype. Examples -------- >>> true_cls = mx.nd.array([3]) >>> samples, exp_count_true, exp_count_sample = mx.nd.contrib.rand_zipfian(true_cls, 4, 5) >>> samples [1 3 3 3] <NDArray 4 @cpu(0)> >>> exp_count_true [ 0.12453879] <NDArray 1 @cpu(0)> >>> exp_count_sample [ 0.22629439 0.12453879 0.12453879 0.12453879] <NDArray 4 @cpu(0)>
[ "Draw", "random", "samples", "from", "an", "approximately", "log", "-", "uniform", "or", "Zipfian", "distribution", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/contrib.py#L36-L100
train
Draw random samples from an approximately log - uniform or Zipfian distribution.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(160 - 109) + chr(0b101011 + 0o11) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(1055 - 1005) + chr(2664 - 2611), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b110110) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + chr(0b101111 + 0o4) + '\x37' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(5932 - 5821) + chr(0b110010) + chr(299 - 246) + '\062', 13630 - 13622), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(1295 - 1244) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(1804 - 1752) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(296 - 248) + chr(3366 - 3255) + chr(0b110010) + chr(0b101010 + 0o13) + chr(0b100000 + 0o20), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7063 - 6952) + chr(700 - 650) + '\x34' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(3975 - 3864) + chr(0b100101 + 0o16) + '\060' + chr(0b100111 + 0o17), 7044 - 7036), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\060' + '\x34', 58068 - 58060), ehT0Px3KOsy9(chr(443 - 395) + '\x6f' + '\062' + chr(2549 - 2497) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(48) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\067' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b101 + 0o152) + chr(50) + '\066' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(934 - 879) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010 + 0o1) + chr(591 - 537) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10111 + 0o130) + chr(0b110001 + 0o0) + '\060' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(0b110110) + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101100 + 0o5) + chr(0b110000) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\x31' + chr(2448 - 2398), 0b1000), ehT0Px3KOsy9(chr(721 - 673) + '\x6f' + chr(49) + chr(347 - 295) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + '\x31' + chr(49) + chr(0b1010 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1342 - 1291) + chr(0b110001) + chr(888 - 836), 3507 - 3499), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b110010) + chr(0b100001 + 0o25), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\x35' + chr(0b110 + 0o61), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101001 + 0o12) + '\066' + chr(0b100010 + 0o21), 8), ehT0Px3KOsy9('\060' + chr(0b1011000 + 0o27) + '\061' + '\x32' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1557 - 1509) + '\x6f' + chr(0b1110 + 0o44) + '\065' + '\063', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\060' + '\x33', 3245 - 3237), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(1301 - 1249) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(0b110010) + chr(1526 - 1473) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\061' + chr(2333 - 2281), 36081 - 36073), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b111 + 0o54) + chr(2180 - 2127) + chr(425 - 371), 29135 - 29127), ehT0Px3KOsy9(chr(2254 - 2206) + chr(0b1101111) + chr(0b110010) + chr(49), 28869 - 28861), ehT0Px3KOsy9(chr(258 - 210) + '\x6f' + '\062' + chr(0b110010) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100100 + 0o17) + '\x36' + '\063', 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b111101 + 0o62) + '\x34' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b100100 + 0o17) + chr(51), 33021 - 33013), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101001 + 0o12) + chr(52) + chr(48), 41616 - 41608)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1000 + 0o55) + '\060', 28031 - 28023)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8'), '\144' + chr(101) + '\143' + chr(0b1101111) + chr(8905 - 8805) + chr(0b10111 + 0o116))('\x75' + '\164' + chr(0b1100110) + chr(45) + chr(806 - 750)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def eB5zpj1PQ0GK(NuAJXsyD8FPX, ubz_L5W0WR2G, X2WcVnDJjkvH, oM3jLo753XfX=None): if oM3jLo753XfX is None: oM3jLo753XfX = XCj8K5DCp8y0() HkZXsSIlCiOF = yhiZVkosCjBm.log(X2WcVnDJjkvH + ehT0Px3KOsy9(chr(1441 - 1393) + chr(0b1101111) + '\x31', 0o10)) ViP387u3nRBw = u6rANUROY0xa(ehT0Px3KOsy9(chr(1223 - 1175) + chr(111) + chr(48), 21655 - 21647), HkZXsSIlCiOF, shape=(ubz_L5W0WR2G,), dtype=xafqLlk3kkUe(SXOLrMavuUCe(b'\x809\x9f\x9d\xde\xafR'), '\144' + '\145' + '\143' + '\x6f' + '\x64' + chr(0b11 + 0o142))(chr(0b1110101) + chr(0b1110100) + '\x66' + '\055' + chr(0b110100 + 0o4)), ctx=oM3jLo753XfX) MkA2orDVY3Yy = (ViP387u3nRBw.exp() - ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061', 8)).astype(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f;\x84\xca\x9e'), chr(0b1100100) + chr(0b111110 + 0o47) + '\143' + '\x6f' + chr(100) + '\x65')('\165' + chr(0b1110100) + chr(102) + '\x2d' + '\070')) % X2WcVnDJjkvH fpmdGQ5j7YA7 = NuAJXsyD8FPX.as_in_context(oM3jLo753XfX).astype(xafqLlk3kkUe(SXOLrMavuUCe(b'\x809\x9f\x9d\xde\xafR'), chr(100) + chr(0b0 + 0o145) + chr(0b101111 + 0o64) + chr(0b101100 + 0o103) + chr(2032 - 1932) + chr(0b1100101))(chr(0b1101 + 0o150) + '\x74' + '\x66' + chr(0b101101) + chr(0b100010 + 0o26))) _g9gYoRiguRo = ((fpmdGQ5j7YA7 + 2.0) / (fpmdGQ5j7YA7 + 1.0)).log() / HkZXsSIlCiOF * ubz_L5W0WR2G tSxRzh5YeftM = MkA2orDVY3Yy.astype(xafqLlk3kkUe(SXOLrMavuUCe(b'\x809\x9f\x9d\xde\xafR'), chr(100) + chr(8199 - 8098) + chr(99) + chr(8113 - 8002) + chr(3687 - 3587) + '\145')(chr(0b1110101) + chr(0b1100001 + 0o23) + chr(0b100101 + 0o101) + '\x2d' + chr(0b100101 + 0o23))) DUlDrIO_4RxB = ((tSxRzh5YeftM + 2.0) / (tSxRzh5YeftM + 1.0)).log() / HkZXsSIlCiOF D1WBJOy9MJCe = DUlDrIO_4RxB * ubz_L5W0WR2G return (MkA2orDVY3Yy, _g9gYoRiguRo, D1WBJOy9MJCe)
apache/incubator-mxnet
python/mxnet/ndarray/contrib.py
foreach
def foreach(body, data, init_states): """Run a for loop with user-defined computation over NDArrays on dimension 0. This operator simulates a for loop and body has the computation for an iteration of the for loop. It runs the computation in body on each slice from the input NDArrays. body takes two arguments as input and outputs a tuple of two elements, as illustrated below:: out, states = body(data1, states) data1 can be either an NDArray or a list of NDArrays. If data is an NDArray, data1 is an NDArray. Otherwise, data1 is a list of NDArrays and has the same size as data. states is a list of NDArrays and have the same size as init_states. Similarly, out can be either an NDArray or a list of NDArrays, which are concatenated as the first output of foreach; states from the last execution of body are the second output of foreach. The computation done by this operator is equivalent to the pseudo code below when the input data is NDArray:: states = init_states outs = [] for i in data.shape[0]: s = data[i] out, states = body(s, states) outs.append(out) outs = stack(*outs) Parameters ---------- body : a Python function. Define computation in an iteration. data: an NDArray or a list of NDArrays. The input data. init_states: an NDArray or nested lists of NDArrays. The initial values of the loop states. name: string. The name of the operator. Returns ------- outputs: an NDArray or nested lists of NDArrays. The output data concatenated from the output of all iterations. states: an NDArray or nested lists of NDArrays. The loop states in the last iteration. Examples -------- >>> step = lambda data, states: (data + states[0], [states[0] * 2]) >>> data = mx.nd.random.uniform(shape=(2, 10)) >>> states = [mx.nd.random.uniform(shape=(10))] >>> outs, states = mx.nd.contrib.foreach(step, data, states) """ def check_input(inputs, in_type, msg): is_NDArray_or_list = True if isinstance(inputs, list): for i in inputs: if not isinstance(i, in_type): is_NDArray_or_list = False break else: is_NDArray_or_list = isinstance(inputs, in_type) assert is_NDArray_or_list, msg flatten, _ = _flatten(data, "foreach input") check_input(flatten, ndarray.NDArray, "data should be an NDArray or a nested list of NDArrays") flatten, _ = _flatten(init_states, "foreach states") check_input(flatten, ndarray.NDArray, "init_states should be an NDArray or a nested list of NDArrays") not_data_list = isinstance(data, ndarray.NDArray) num_iters = data.shape[0] if not_data_list else data[0].shape[0] states = init_states outputs = [] for i in range(num_iters): if not_data_list: eles = data[i] else: eles = [d[i] for d in data] outs, states = body(eles, states) outs, out_fmt = _flatten(outs, "foreach output") outputs.append(outs) outputs = zip(*outputs) tmp_outputs = [] for out in outputs: tmp_outputs.append(ndarray.op.stack(*out)) outputs = tmp_outputs outputs, _ = _regroup(outputs, out_fmt) return (outputs, states)
python
def foreach(body, data, init_states): """Run a for loop with user-defined computation over NDArrays on dimension 0. This operator simulates a for loop and body has the computation for an iteration of the for loop. It runs the computation in body on each slice from the input NDArrays. body takes two arguments as input and outputs a tuple of two elements, as illustrated below:: out, states = body(data1, states) data1 can be either an NDArray or a list of NDArrays. If data is an NDArray, data1 is an NDArray. Otherwise, data1 is a list of NDArrays and has the same size as data. states is a list of NDArrays and have the same size as init_states. Similarly, out can be either an NDArray or a list of NDArrays, which are concatenated as the first output of foreach; states from the last execution of body are the second output of foreach. The computation done by this operator is equivalent to the pseudo code below when the input data is NDArray:: states = init_states outs = [] for i in data.shape[0]: s = data[i] out, states = body(s, states) outs.append(out) outs = stack(*outs) Parameters ---------- body : a Python function. Define computation in an iteration. data: an NDArray or a list of NDArrays. The input data. init_states: an NDArray or nested lists of NDArrays. The initial values of the loop states. name: string. The name of the operator. Returns ------- outputs: an NDArray or nested lists of NDArrays. The output data concatenated from the output of all iterations. states: an NDArray or nested lists of NDArrays. The loop states in the last iteration. Examples -------- >>> step = lambda data, states: (data + states[0], [states[0] * 2]) >>> data = mx.nd.random.uniform(shape=(2, 10)) >>> states = [mx.nd.random.uniform(shape=(10))] >>> outs, states = mx.nd.contrib.foreach(step, data, states) """ def check_input(inputs, in_type, msg): is_NDArray_or_list = True if isinstance(inputs, list): for i in inputs: if not isinstance(i, in_type): is_NDArray_or_list = False break else: is_NDArray_or_list = isinstance(inputs, in_type) assert is_NDArray_or_list, msg flatten, _ = _flatten(data, "foreach input") check_input(flatten, ndarray.NDArray, "data should be an NDArray or a nested list of NDArrays") flatten, _ = _flatten(init_states, "foreach states") check_input(flatten, ndarray.NDArray, "init_states should be an NDArray or a nested list of NDArrays") not_data_list = isinstance(data, ndarray.NDArray) num_iters = data.shape[0] if not_data_list else data[0].shape[0] states = init_states outputs = [] for i in range(num_iters): if not_data_list: eles = data[i] else: eles = [d[i] for d in data] outs, states = body(eles, states) outs, out_fmt = _flatten(outs, "foreach output") outputs.append(outs) outputs = zip(*outputs) tmp_outputs = [] for out in outputs: tmp_outputs.append(ndarray.op.stack(*out)) outputs = tmp_outputs outputs, _ = _regroup(outputs, out_fmt) return (outputs, states)
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Run a for loop with user-defined computation over NDArrays on dimension 0. This operator simulates a for loop and body has the computation for an iteration of the for loop. It runs the computation in body on each slice from the input NDArrays. body takes two arguments as input and outputs a tuple of two elements, as illustrated below:: out, states = body(data1, states) data1 can be either an NDArray or a list of NDArrays. If data is an NDArray, data1 is an NDArray. Otherwise, data1 is a list of NDArrays and has the same size as data. states is a list of NDArrays and have the same size as init_states. Similarly, out can be either an NDArray or a list of NDArrays, which are concatenated as the first output of foreach; states from the last execution of body are the second output of foreach. The computation done by this operator is equivalent to the pseudo code below when the input data is NDArray:: states = init_states outs = [] for i in data.shape[0]: s = data[i] out, states = body(s, states) outs.append(out) outs = stack(*outs) Parameters ---------- body : a Python function. Define computation in an iteration. data: an NDArray or a list of NDArrays. The input data. init_states: an NDArray or nested lists of NDArrays. The initial values of the loop states. name: string. The name of the operator. Returns ------- outputs: an NDArray or nested lists of NDArrays. The output data concatenated from the output of all iterations. states: an NDArray or nested lists of NDArrays. The loop states in the last iteration. Examples -------- >>> step = lambda data, states: (data + states[0], [states[0] * 2]) >>> data = mx.nd.random.uniform(shape=(2, 10)) >>> states = [mx.nd.random.uniform(shape=(10))] >>> outs, states = mx.nd.contrib.foreach(step, data, states)
[ "Run", "a", "for", "loop", "with", "user", "-", "defined", "computation", "over", "NDArrays", "on", "dimension", "0", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/contrib.py#L136-L230
train
This function runs a Python function that runs a user - defined computation over NDArrays on dimension 0 and returns a tuple of two elements out and states.
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326) + chr(111) + chr(0b0 + 0o62) + chr(0b110110) + '\064', 44576 - 44568), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(53) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b110101) + chr(226 - 175), 20291 - 20283), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\060' + chr(1591 - 1537), 43914 - 43906), ehT0Px3KOsy9('\x30' + chr(2298 - 2187) + chr(0b110011) + chr(54) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b110 + 0o61) + chr(0b11101 + 0o30), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1110 + 0o44) + chr(0b10001 + 0o45) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(0b101111 + 0o3) + chr(51) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1000 + 0o52) + '\x36' + chr(0b1101 + 0o51), 53069 - 53061), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(2191 - 2141) + chr(0b100110 + 0o17) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(628 - 577) + chr(0b11111 + 0o22) + chr(1123 - 1072), 0o10), ehT0Px3KOsy9(chr(1859 - 1811) + chr(0b1101111) + chr(49) + chr(0b110111) + '\x34', 17606 - 17598), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(348 - 298) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001010 + 0o45) + '\x33' + '\x37' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b100001 + 0o23) + chr(52), 0b1000), ehT0Px3KOsy9(chr(1769 - 1721) + '\x6f' + chr(2232 - 2182) + chr(53) + chr(2251 - 2200), 59952 - 59944), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(55) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6198 - 6087) + '\x32' + chr(395 - 345) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110111) + chr(0b1001 + 0o47), 0o10), ehT0Px3KOsy9('\060' + chr(5031 - 4920) + chr(0b101111 + 0o3) + '\067' + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(6150 - 6039) + '\x33' + chr(0b110010) + chr(2322 - 2271), 0b1000), ehT0Px3KOsy9(chr(745 - 697) + '\157' + '\x31' + chr(0b110001) + chr(53), 11400 - 11392), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(54) + chr(1260 - 1212), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\064' + chr(0b110101), 18073 - 18065), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(824 - 773) + chr(1450 - 1402), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1921 - 1868) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10368 - 10257) + chr(602 - 553) + chr(49) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3271 - 3160) + chr(0b1111 + 0o44) + '\064' + chr(0b11101 + 0o24), 0o10), ehT0Px3KOsy9(chr(192 - 144) + chr(0b1101111) + '\x37' + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110 + 0o60) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', 35351 - 35343), ehT0Px3KOsy9(chr(48) + chr(6187 - 6076) + '\x34' + chr(0b110101), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(2275 - 2225) + '\060' + chr(0b11000 + 0o37), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\064' + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(1562 - 1451) + '\061' + '\064' + chr(0b11001 + 0o31), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011010 + 0o25) + '\067' + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + chr(9754 - 9643) + '\x31' + chr(54) + chr(0b110011 + 0o0), 2259 - 2251), ehT0Px3KOsy9(chr(1966 - 1918) + chr(0b1011101 + 0o22) + chr(0b110011) + chr(0b110001) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(1000 - 950) + chr(0b11111 + 0o23) + chr(1460 - 1412), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2447 - 2395) + '\062', 63955 - 63947)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + chr(0b1011 + 0o52) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a'), chr(0b1100100) + '\x65' + '\x63' + chr(10805 - 10694) + chr(0b1011 + 0o131) + chr(0b1100101))(chr(7328 - 7211) + chr(116) + '\x66' + chr(45) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def r4DnndyesIzc(TD8C81EGml3n, ULnjp6D6efFH, veatLGGmwDMB): def wNGyO04AXp11(vXoupepMtCXU, X8jkFdGFD7Pf, jtbovtaIYjRB): KwWNg13h3xh4 = ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + '\x31', 8) if PlSM16l2KDPD(vXoupepMtCXU, YyaZ4tpXu4lf): for WVxHKyX45z_L in vXoupepMtCXU: if not PlSM16l2KDPD(WVxHKyX45z_L, X8jkFdGFD7Pf): KwWNg13h3xh4 = ehT0Px3KOsy9('\x30' + chr(12003 - 11892) + chr(48), 60873 - 60865) break else: KwWNg13h3xh4 = PlSM16l2KDPD(vXoupepMtCXU, X8jkFdGFD7Pf) assert KwWNg13h3xh4, jtbovtaIYjRB (dbBtynT6oMgz, VNGQdHSFPrso) = rH_ZFwwirodI(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\x03\x99\xe3\x97\x1e\xdf\xbf\xdf\xc6\xbb\t\xe6'), chr(6813 - 6713) + chr(4029 - 3928) + chr(3339 - 3240) + chr(111) + chr(0b100100 + 0o100) + '\x65')(chr(117) + chr(0b100 + 0o160) + chr(102) + chr(0b10000 + 0o35) + chr(0b111000))) wNGyO04AXp11(dbBtynT6oMgz, xafqLlk3kkUe(VtU1DncglWAm, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa(\xaa\xf4\x84\x1c\xce'), '\x64' + chr(101) + '\143' + chr(0b1101111) + chr(6669 - 6569) + '\x65')(chr(0b1110101) + chr(116) + chr(7226 - 7124) + chr(0b101101) + '\x38')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\r\x9f\xe7\xd6\x0e\xdf\xf0\xc3\xc4\xaf\\\xf0\x99\xc4\xcaW\xb0v\xfd\x92?\x82D\xe1\x08%\x93\x1eT!K\xe2U\x16]\x17\xec\xfcK\xc7\x18\xcb\xe9\x90]\xf9\xdb\xf7\xda\xb9\x1d\xeb\x8f'), chr(0b1100011 + 0o1) + chr(101) + '\143' + chr(0b1101100 + 0o3) + chr(8800 - 8700) + '\x65')('\165' + chr(0b1000101 + 0o57) + chr(852 - 750) + '\x2d' + chr(0b111000))) (dbBtynT6oMgz, VNGQdHSFPrso) = rH_ZFwwirodI(veatLGGmwDMB, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\x03\x99\xe3\x97\x1e\xdf\xbf\xc5\xdc\xaa\x08\xf7\x8f'), chr(100) + chr(101) + chr(0b1010100 + 0o17) + chr(6342 - 6231) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b101101) + chr(2665 - 2609))) wNGyO04AXp11(dbBtynT6oMgz, xafqLlk3kkUe(VtU1DncglWAm, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa(\xaa\xf4\x84\x1c\xce'), '\144' + '\x65' + chr(0b1100011) + chr(11573 - 11462) + '\x64' + chr(0b1100101))(chr(0b11000 + 0o135) + chr(116) + chr(0b1000100 + 0o42) + chr(45) + chr(0b1110 + 0o52))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\x02\x82\xf2\xa9\x0e\xc3\xfe\xc2\xcd\xb8\\\xe1\x94\x8b\xdeU\xf4\x18\xdb\xb6m\x91K\xb8f\x0e\xa0LG`\\\xa7I\x10\x18\x12\xec\xfeG\xc7\x18\x8e\xe2\xd6\x11\xde\xec\xc2\x88\xa4\x1a\xb2\xb2\xa0\xeaK\xe2Y\xc0\xa0'), chr(100) + chr(5047 - 4946) + '\143' + chr(0b1100010 + 0o15) + '\x64' + chr(0b100111 + 0o76))(chr(0b101110 + 0o107) + '\164' + chr(0b100111 + 0o77) + chr(45) + '\x38')) tG47ZndFSyPx = PlSM16l2KDPD(ULnjp6D6efFH, VtU1DncglWAm.NDArray) Nen2Paj6Rnvx = ULnjp6D6efFH.nauYfLglTpcb[ehT0Px3KOsy9('\060' + '\x6f' + '\060', 8)] if tG47ZndFSyPx else ULnjp6D6efFH[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b0 + 0o60), 8)].nauYfLglTpcb[ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(635 - 587), 8)] jI0E6zso5mLP = veatLGGmwDMB Dx_DllZ8uCko = [] for WVxHKyX45z_L in vQr8gNKaIaWE(Nen2Paj6Rnvx): if tG47ZndFSyPx: klk8WThEG8BU = ULnjp6D6efFH[WVxHKyX45z_L] else: klk8WThEG8BU = [pd3lxn9vqWxp[WVxHKyX45z_L] for pd3lxn9vqWxp in ULnjp6D6efFH] (_VexQtc8sfoI, jI0E6zso5mLP) = TD8C81EGml3n(klk8WThEG8BU, jI0E6zso5mLP) (_VexQtc8sfoI, hF51pahVwGOT) = rH_ZFwwirodI(_VexQtc8sfoI, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\x03\x99\xe3\x97\x1e\xdf\xbf\xd9\xdd\xbf\x0c\xe7\x88'), chr(0b1010011 + 0o21) + chr(101) + '\143' + '\157' + '\144' + '\145')('\x75' + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(2877 - 2821))) xafqLlk3kkUe(Dx_DllZ8uCko, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x1c\x9b\xe3\x98\x19'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\157' + '\144' + '\x65')(chr(3541 - 3424) + '\164' + chr(0b1100110) + chr(0b101101 + 0o0) + '\x38'))(_VexQtc8sfoI) Dx_DllZ8uCko = pZ0NK2y6HRbn(*Dx_DllZ8uCko) nwBH58qqzN5p = [] for UkrMp_I0RDmo in Dx_DllZ8uCko: xafqLlk3kkUe(nwBH58qqzN5p, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x1c\x9b\xe3\x98\x19'), chr(3677 - 3577) + chr(4315 - 4214) + chr(0b100001 + 0o102) + chr(0b100010 + 0o115) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + '\146' + '\x2d' + chr(56)))(xafqLlk3kkUe(VtU1DncglWAm.op, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\x18\x8a\xe5\x9d'), chr(0b1100100) + chr(101) + chr(99) + chr(8737 - 8626) + chr(0b1100001 + 0o3) + '\145')(chr(13204 - 13087) + chr(116) + '\x66' + '\055' + '\070'))(*UkrMp_I0RDmo)) Dx_DllZ8uCko = nwBH58qqzN5p (Dx_DllZ8uCko, VNGQdHSFPrso) = WYAAj2uOOBct(Dx_DllZ8uCko, hF51pahVwGOT) return (Dx_DllZ8uCko, jI0E6zso5mLP)
apache/incubator-mxnet
python/mxnet/ndarray/contrib.py
while_loop
def while_loop(cond, func, loop_vars, max_iterations=None): """Run a while loop with user-defined computation and loop condition. This operator simulates a while loop which iterately does customized computation as long as the condition is satisfied. `loop_vars` is a list of NDArrays on which the computation uses. `cond` is a user-defined function, used as the loop condition. It consumes `loop_vars`, and produces a scalar MXNet NDArray, indicating the termination of the loop. The loop ends when `cond` returns false (zero). The `cond` is variadic, and its signature should be `cond(*loop_vars) => NDArray`. `func` is a user-defined function, used as the loop body. It also consumes `loop_vars`, and produces `step_output` and `new_loop_vars` at each step. In each step, `step_output` should contain the same number elements. Through all steps, the i-th element of `step_output` should have the same shape and dtype. Also, `new_loop_vars` should contain the same number of elements as `loop_vars`, and the corresponding element should have the same shape and dtype. The `func` is variadic, and its signature should be `func(*loop_vars) => (NDArray or nested List[NDArray] step_output, NDArray or nested List[NDArray] new_loop_vars)`. `max_iterations` is a scalar that defines the maximum number of iterations allowed. This function returns two lists. The first list has the length of `|step_output|`, in which the i-th element are all i-th elements of `step_output` from all steps, stacked along axis 0. The second list has the length of `|loop_vars|`, which represents final states of loop variables. .. warning:: For now, the axis 0 of all NDArrays in the first list are `max_iterations`, due to lack of dynamic shape inference. .. warning:: When `cond` is never satisfied, we assume `step_output` is empty, because it cannot be inferred. This is different from the symbolic version. Parameters ---------- cond: a Python function. The loop condition. func: a Python function. The loop body. loop_vars: an NDArray or nested lists of NDArrays. The initial values of the loop variables. max_iterations: a python int. Maximum number of iterations. Returns ------ outputs: an NDArray or nested lists of NDArrays stacked output from each step states: an NDArray or nested lists of NDArrays final state Examples -------- >>> cond = lambda i, s: i <= 5 >>> func = lambda i, s: ([i + s], [i + 1, s + i]) >>> loop_vars = (mx.nd.array([0], dtype="int64"), mx.nd.array([1], dtype="int64")) >>> outputs, states = mx.nd.contrib.while_loop(cond, func, loop_vars, max_iterations=10) >>> outputs [ [[ 1] [ 2] [ 4] [ 7] [11] [16] [...] # undefined value [...] [...] [...]] <NDArray 6x1 @cpu(0)>] >>> states [ [6] <NDArray 1 @cpu(0)>, [16] <NDArray 1 @cpu(0)>] """ def _to_python_scalar(inputs, type_, name): """Converts "inputs", possibly typed mxnet NDArray, a numpy ndarray, other python types, to the given type """ if isinstance(inputs, ndarray.NDArray): inputs = inputs.asscalar() try: inputs = type_(inputs) except: raise ValueError("Cannot convert %s to python %s" % (name, type_.__name__)) return inputs def _func_wrapper(loop_vars): """This wrapper unifies "func: loop_vars -> new_loop_vars" and "func: loop_vars -> (step_output, new_loop_vars)" into "func: loop_vars -> (None or tuple of step_outputs, tuple of new_loop_vars) """ step_output, new_loop_vars = func(*loop_vars) if step_output is None: step_output = [] if new_loop_vars is None: new_loop_vars = [] if isinstance(step_output, tuple): step_output = list(step_output) if isinstance(new_loop_vars, tuple): new_loop_vars = list(new_loop_vars) new_loop_vars = _as_list(new_loop_vars) if len(loop_vars) != len(new_loop_vars): raise ValueError("The length of loop_vars should be consistent during the loop") return step_output, new_loop_vars if max_iterations is None: raise ValueError("max_iterations should be specified") max_iterations = _to_python_scalar(max_iterations, int, "max_iteration") # It should be work as fine if loop_vars are empty I guess, # but it is semantically unnecessary to include this case. if len(loop_vars) == 0: raise ValueError("loop_vars should contain at least one element") steps = 0 outputs = [] # there might not be an iteration. out_fmt = None not_loop_var_list = isinstance(loop_vars, ndarray.NDArray) loop_vars = _as_list(loop_vars) while steps < max_iterations and \ _to_python_scalar(cond(*loop_vars), bool, "Return value of cond"): # loop condition step_output, loop_vars = _func_wrapper(loop_vars) step_output, out_fmt = _flatten(step_output, "while output") outputs.append(step_output) steps += 1 if len(outputs) != steps or len(step_output) != len(outputs[0]): raise ValueError("Number of elements in step_output should be the same in each step") stacked_outputs = [] for i_th, items in enumerate(zip(*outputs), 1): # `mx.ndarray.pad` only support 4-D or 5-D inputs for now # so we could not use it. items = [x.expand_dims(0) for x in items] if steps != max_iterations and items: pad_shape = [max_iterations - steps] + list(items[0].shape[1: ]) pad = ndarray.empty( shape=pad_shape, ctx=items[0].context, dtype=items[0].dtype, ) items = list(items) + [pad] try: stacked_outputs.append(ndarray.op.concat(*items, dim=0)) except ValueError: raise ValueError("\n".join( ["Shapes of %d-th elements in step_outputs are inconsistent, which are:" % i_th] + [" Step %d, shape is %s" % (i, str(x.shape)) for i, x in enumerate(items)] )) if out_fmt is not None: stacked_outputs, _ = _regroup(stacked_outputs, out_fmt) if not_loop_var_list: loop_vars = loop_vars[0] return stacked_outputs, loop_vars
python
def while_loop(cond, func, loop_vars, max_iterations=None): """Run a while loop with user-defined computation and loop condition. This operator simulates a while loop which iterately does customized computation as long as the condition is satisfied. `loop_vars` is a list of NDArrays on which the computation uses. `cond` is a user-defined function, used as the loop condition. It consumes `loop_vars`, and produces a scalar MXNet NDArray, indicating the termination of the loop. The loop ends when `cond` returns false (zero). The `cond` is variadic, and its signature should be `cond(*loop_vars) => NDArray`. `func` is a user-defined function, used as the loop body. It also consumes `loop_vars`, and produces `step_output` and `new_loop_vars` at each step. In each step, `step_output` should contain the same number elements. Through all steps, the i-th element of `step_output` should have the same shape and dtype. Also, `new_loop_vars` should contain the same number of elements as `loop_vars`, and the corresponding element should have the same shape and dtype. The `func` is variadic, and its signature should be `func(*loop_vars) => (NDArray or nested List[NDArray] step_output, NDArray or nested List[NDArray] new_loop_vars)`. `max_iterations` is a scalar that defines the maximum number of iterations allowed. This function returns two lists. The first list has the length of `|step_output|`, in which the i-th element are all i-th elements of `step_output` from all steps, stacked along axis 0. The second list has the length of `|loop_vars|`, which represents final states of loop variables. .. warning:: For now, the axis 0 of all NDArrays in the first list are `max_iterations`, due to lack of dynamic shape inference. .. warning:: When `cond` is never satisfied, we assume `step_output` is empty, because it cannot be inferred. This is different from the symbolic version. Parameters ---------- cond: a Python function. The loop condition. func: a Python function. The loop body. loop_vars: an NDArray or nested lists of NDArrays. The initial values of the loop variables. max_iterations: a python int. Maximum number of iterations. Returns ------ outputs: an NDArray or nested lists of NDArrays stacked output from each step states: an NDArray or nested lists of NDArrays final state Examples -------- >>> cond = lambda i, s: i <= 5 >>> func = lambda i, s: ([i + s], [i + 1, s + i]) >>> loop_vars = (mx.nd.array([0], dtype="int64"), mx.nd.array([1], dtype="int64")) >>> outputs, states = mx.nd.contrib.while_loop(cond, func, loop_vars, max_iterations=10) >>> outputs [ [[ 1] [ 2] [ 4] [ 7] [11] [16] [...] # undefined value [...] [...] [...]] <NDArray 6x1 @cpu(0)>] >>> states [ [6] <NDArray 1 @cpu(0)>, [16] <NDArray 1 @cpu(0)>] """ def _to_python_scalar(inputs, type_, name): """Converts "inputs", possibly typed mxnet NDArray, a numpy ndarray, other python types, to the given type """ if isinstance(inputs, ndarray.NDArray): inputs = inputs.asscalar() try: inputs = type_(inputs) except: raise ValueError("Cannot convert %s to python %s" % (name, type_.__name__)) return inputs def _func_wrapper(loop_vars): """This wrapper unifies "func: loop_vars -> new_loop_vars" and "func: loop_vars -> (step_output, new_loop_vars)" into "func: loop_vars -> (None or tuple of step_outputs, tuple of new_loop_vars) """ step_output, new_loop_vars = func(*loop_vars) if step_output is None: step_output = [] if new_loop_vars is None: new_loop_vars = [] if isinstance(step_output, tuple): step_output = list(step_output) if isinstance(new_loop_vars, tuple): new_loop_vars = list(new_loop_vars) new_loop_vars = _as_list(new_loop_vars) if len(loop_vars) != len(new_loop_vars): raise ValueError("The length of loop_vars should be consistent during the loop") return step_output, new_loop_vars if max_iterations is None: raise ValueError("max_iterations should be specified") max_iterations = _to_python_scalar(max_iterations, int, "max_iteration") # It should be work as fine if loop_vars are empty I guess, # but it is semantically unnecessary to include this case. if len(loop_vars) == 0: raise ValueError("loop_vars should contain at least one element") steps = 0 outputs = [] # there might not be an iteration. out_fmt = None not_loop_var_list = isinstance(loop_vars, ndarray.NDArray) loop_vars = _as_list(loop_vars) while steps < max_iterations and \ _to_python_scalar(cond(*loop_vars), bool, "Return value of cond"): # loop condition step_output, loop_vars = _func_wrapper(loop_vars) step_output, out_fmt = _flatten(step_output, "while output") outputs.append(step_output) steps += 1 if len(outputs) != steps or len(step_output) != len(outputs[0]): raise ValueError("Number of elements in step_output should be the same in each step") stacked_outputs = [] for i_th, items in enumerate(zip(*outputs), 1): # `mx.ndarray.pad` only support 4-D or 5-D inputs for now # so we could not use it. items = [x.expand_dims(0) for x in items] if steps != max_iterations and items: pad_shape = [max_iterations - steps] + list(items[0].shape[1: ]) pad = ndarray.empty( shape=pad_shape, ctx=items[0].context, dtype=items[0].dtype, ) items = list(items) + [pad] try: stacked_outputs.append(ndarray.op.concat(*items, dim=0)) except ValueError: raise ValueError("\n".join( ["Shapes of %d-th elements in step_outputs are inconsistent, which are:" % i_th] + [" Step %d, shape is %s" % (i, str(x.shape)) for i, x in enumerate(items)] )) if out_fmt is not None: stacked_outputs, _ = _regroup(stacked_outputs, out_fmt) if not_loop_var_list: loop_vars = loop_vars[0] return stacked_outputs, loop_vars
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Run a while loop with user-defined computation and loop condition. This operator simulates a while loop which iterately does customized computation as long as the condition is satisfied. `loop_vars` is a list of NDArrays on which the computation uses. `cond` is a user-defined function, used as the loop condition. It consumes `loop_vars`, and produces a scalar MXNet NDArray, indicating the termination of the loop. The loop ends when `cond` returns false (zero). The `cond` is variadic, and its signature should be `cond(*loop_vars) => NDArray`. `func` is a user-defined function, used as the loop body. It also consumes `loop_vars`, and produces `step_output` and `new_loop_vars` at each step. In each step, `step_output` should contain the same number elements. Through all steps, the i-th element of `step_output` should have the same shape and dtype. Also, `new_loop_vars` should contain the same number of elements as `loop_vars`, and the corresponding element should have the same shape and dtype. The `func` is variadic, and its signature should be `func(*loop_vars) => (NDArray or nested List[NDArray] step_output, NDArray or nested List[NDArray] new_loop_vars)`. `max_iterations` is a scalar that defines the maximum number of iterations allowed. This function returns two lists. The first list has the length of `|step_output|`, in which the i-th element are all i-th elements of `step_output` from all steps, stacked along axis 0. The second list has the length of `|loop_vars|`, which represents final states of loop variables. .. warning:: For now, the axis 0 of all NDArrays in the first list are `max_iterations`, due to lack of dynamic shape inference. .. warning:: When `cond` is never satisfied, we assume `step_output` is empty, because it cannot be inferred. This is different from the symbolic version. Parameters ---------- cond: a Python function. The loop condition. func: a Python function. The loop body. loop_vars: an NDArray or nested lists of NDArrays. The initial values of the loop variables. max_iterations: a python int. Maximum number of iterations. Returns ------ outputs: an NDArray or nested lists of NDArrays stacked output from each step states: an NDArray or nested lists of NDArrays final state Examples -------- >>> cond = lambda i, s: i <= 5 >>> func = lambda i, s: ([i + s], [i + 1, s + i]) >>> loop_vars = (mx.nd.array([0], dtype="int64"), mx.nd.array([1], dtype="int64")) >>> outputs, states = mx.nd.contrib.while_loop(cond, func, loop_vars, max_iterations=10) >>> outputs [ [[ 1] [ 2] [ 4] [ 7] [11] [16] [...] # undefined value [...] [...] [...]] <NDArray 6x1 @cpu(0)>] >>> states [ [6] <NDArray 1 @cpu(0)>, [16] <NDArray 1 @cpu(0)>]
[ "Run", "a", "while", "loop", "with", "user", "-", "defined", "computation", "and", "loop", "condition", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/contrib.py#L232-L398
train
This operator simulates a while loop with user - defined computation and loop condition.
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15576), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\065' + chr(0b101101 + 0o6), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010111 + 0o30) + chr(51) + chr(54) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(2653 - 2542) + '\061' + '\x32' + '\x37', 0b1000), ehT0Px3KOsy9(chr(1234 - 1186) + '\157' + chr(0b101111 + 0o4) + chr(0b110000) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(9591 - 9480) + '\065' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(686 - 637) + chr(51) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x35' + chr(0b11110 + 0o27), 0o10), ehT0Px3KOsy9('\x30' + chr(10421 - 10310) + chr(2169 - 2118) + '\x36' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b110110) + chr(1104 - 1051), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(54) + chr(355 - 304), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(0b1100 + 0o53) + chr(49), 28610 - 28602), ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + '\x31' + chr(50) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(2036 - 1985) + '\067' + chr(52), 51157 - 51149), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10101 + 0o34) + '\x35' + '\064', 60405 - 60397), ehT0Px3KOsy9('\060' + chr(0b111 + 0o150) + '\x33' + '\x33', 0o10), ehT0Px3KOsy9(chr(327 - 279) + chr(0b10101 + 0o132) + '\x32' + chr(0b11111 + 0o27) + '\065', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110100) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1624 - 1576) + '\157' + chr(0b110001) + chr(49) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(247 - 196) + chr(0b110010) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b100000 + 0o117) + chr(0b101111 + 0o3) + chr(0b110010) + chr(1231 - 1179), 55134 - 55126), ehT0Px3KOsy9(chr(0b110000) + chr(11750 - 11639) + '\x32' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(393 - 345) + chr(0b1101111) + '\x31' + '\065' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(0b110011) + '\x32' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1324 - 1274) + chr(2837 - 2782) + chr(0b100101 + 0o20), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b10000 + 0o43) + chr(0b110011 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110111 + 0o70) + chr(923 - 874) + chr(49) + chr(360 - 311), 8), ehT0Px3KOsy9(chr(0b110000) + chr(1472 - 1361) + '\062' + chr(0b110000) + chr(0b11 + 0o64), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001 + 0o0), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + chr(2400 - 2349) + chr(2305 - 2252) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1 + 0o61) + '\x33' + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101101 + 0o4) + chr(52) + chr(2488 - 2435), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100000 + 0o22) + '\067' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(49) + '\062', 38713 - 38705), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(1482 - 1429) + chr(0b110001), 1876 - 1868), ehT0Px3KOsy9('\x30' + chr(12252 - 12141) + chr(0b110011) + chr(2229 - 2181) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + '\x31' + '\067', 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(1610 - 1559) + chr(52) + chr(0b110110 + 0o1), 0o10), ehT0Px3KOsy9(chr(110 - 62) + '\x6f' + chr(0b110001) + chr(0b11 + 0o63), 0o10), ehT0Px3KOsy9(chr(48) + chr(9917 - 9806) + chr(0b101011 + 0o7) + chr(0b110100), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(793 - 745) + '\157' + chr(0b110101) + chr(103 - 55), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x84'), chr(0b1001111 + 0o25) + chr(0b1100101) + '\x63' + '\157' + '\x64' + chr(0b110111 + 0o56))('\165' + chr(116) + '\x66' + chr(0b101101) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def yvdoQrydlO77(cqK7WzUanJkr, EzOtJ3kbK5x4, d6zzvLtyDgPQ, IYhMrtCR6Cji=None): def iecb6o2uAzKj(vXoupepMtCXU, wglhj4WQZuCT, AIvJRzLdDfgF): if PlSM16l2KDPD(vXoupepMtCXU, xafqLlk3kkUe(VtU1DncglWAm, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xef\xb1%\xb5M%'), '\144' + '\x65' + chr(0b110011 + 0o60) + chr(111) + chr(6231 - 6131) + chr(0b1100101))(chr(8768 - 8651) + chr(0b11010 + 0o132) + chr(8537 - 8435) + chr(45) + chr(0b111000)))): vXoupepMtCXU = vXoupepMtCXU.asscalar() try: vXoupepMtCXU = wglhj4WQZuCT(vXoupepMtCXU) except ZVWAAMjVVHHl: raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b"\xe9\xca\x9e9\xa8X|N\x9c\xdbE\\'\x88L>\xc6@=\xba\xb4a\x10\xa3\xd5p'\xa7$\x9d"), '\x64' + chr(0b101 + 0o140) + chr(0b100110 + 0o75) + chr(111) + chr(0b1100100) + chr(6096 - 5995))('\165' + chr(9218 - 9102) + chr(0b101110 + 0o70) + '\055' + chr(0b1 + 0o67)) % (AIvJRzLdDfgF, xafqLlk3kkUe(wglhj4WQZuCT, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xc9\x95=\xf3C\x06\\\xb8\xf9r\x0f'), '\x64' + '\145' + chr(4080 - 3981) + chr(0b1101111) + chr(0b1000001 + 0o43) + chr(101))(chr(117) + chr(7438 - 7322) + '\146' + chr(260 - 215) + '\x38')))) return vXoupepMtCXU def UQqO1qnG0JZl(d6zzvLtyDgPQ): (AJyudqWicf9u, tEDEfWKuZWTl) = EzOtJ3kbK5x4(*d6zzvLtyDgPQ) if AJyudqWicf9u is None: AJyudqWicf9u = [] if tEDEfWKuZWTl is None: tEDEfWKuZWTl = [] if PlSM16l2KDPD(AJyudqWicf9u, KNyTy8rYcwji): AJyudqWicf9u = YyaZ4tpXu4lf(AJyudqWicf9u) if PlSM16l2KDPD(tEDEfWKuZWTl, KNyTy8rYcwji): tEDEfWKuZWTl = YyaZ4tpXu4lf(tEDEfWKuZWTl) tEDEfWKuZWTl = N_m2iKydurbh(tEDEfWKuZWTl) if c2A0yzQpDQB3(d6zzvLtyDgPQ) != c2A0yzQpDQB3(tEDEfWKuZWTl): raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe\xc3\x95w\xabI2J\x87\xdd\x13V3\xdc\x00t\xda\x10\x16\xa3\xf5c\x1a\xf7\xcew&\xf2m\x8a\xbe\x07\xde\xaa\x8a\xada\x94gg\xde\xce\x9e#\xe7H)_\x9a\xdbT\x19!\x94\t;\xd9\x0f&\xa5'), '\144' + '\145' + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(7825 - 7708) + chr(116) + '\146' + chr(0b101101) + '\x38')) return (AJyudqWicf9u, tEDEfWKuZWTl) if IYhMrtCR6Cji is None: raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xca\x88\x08\xaeX9_\x92\xc1ZV;\x8fLh\xdd\x0f<\xb9\xf01\x0b\xb2\x9dl9\xe2b\x87\xf8\x0c\xde\xee'), chr(0b1100100) + '\x65' + '\x63' + '\157' + chr(9102 - 9002) + '\145')('\x75' + chr(10582 - 10466) + '\146' + '\x2d' + '\x38')) IYhMrtCR6Cji = iecb6o2uAzKj(IYhMrtCR6Cji, ehT0Px3KOsy9, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xca\x88\x08\xaeX9_\x92\xc1ZV;'), chr(0b1100100) + chr(0b1100101) + '\143' + '\157' + chr(0b1100100) + '\x65')('\165' + '\x74' + chr(0b1000 + 0o136) + chr(45) + '\x38')) if c2A0yzQpDQB3(d6zzvLtyDgPQ) == ehT0Px3KOsy9(chr(497 - 449) + '\157' + chr(111 - 63), 0o10): raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b"\xc6\xc4\x9f'\x98Z=_\x80\x95@Q:\x89\x00\x7f\x95\x03&\xbb\xe0p\x00\xb9\x9d~=\xa7m\x8b\xff\x16\xcf\xaa\x86\xacj\xc7kx\xcf\xc6\x959\xb3"), chr(0b111001 + 0o53) + '\x65' + '\143' + chr(0b100110 + 0o111) + chr(0b1100100) + chr(101))(chr(10247 - 10130) + '\164' + chr(1564 - 1462) + chr(0b10011 + 0o32) + '\070')) v0VhEmlMsO_l = ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x30', 8) Dx_DllZ8uCko = [] hF51pahVwGOT = None r2Y2g24XEsX5 = PlSM16l2KDPD(d6zzvLtyDgPQ, VtU1DncglWAm.NDArray) d6zzvLtyDgPQ = N_m2iKydurbh(d6zzvLtyDgPQ) while v0VhEmlMsO_l < IYhMrtCR6Cji and iecb6o2uAzKj(cqK7WzUanJkr(*d6zzvLtyDgPQ), WbBjf8Y7v9VN, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xce\x84"\xb5B|[\x92\xd9F\\u\x93\n;\xd6\x0f\'\xb1'), chr(3828 - 3728) + '\145' + chr(0b10001 + 0o122) + '\157' + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b10 + 0o162) + '\146' + chr(0b110 + 0o47) + '\x38')): (AJyudqWicf9u, d6zzvLtyDgPQ) = UQqO1qnG0JZl(d6zzvLtyDgPQ) (AJyudqWicf9u, hF51pahVwGOT) = rH_ZFwwirodI(AJyudqWicf9u, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\xc3\x99;\xa2\x0c3X\x87\xc5FM'), '\144' + chr(101) + chr(0b111001 + 0o52) + chr(0b1001100 + 0o43) + chr(100) + chr(8336 - 8235))(chr(117) + '\x74' + chr(102) + chr(2013 - 1968) + chr(56))) xafqLlk3kkUe(Dx_DllZ8uCko, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\xdb\x802\xa9H'), chr(6850 - 6750) + '\145' + '\143' + '\157' + chr(0b1011000 + 0o14) + chr(0b1010101 + 0o20))('\x75' + chr(116) + '\x66' + chr(0b101101) + chr(1752 - 1696)))(AJyudqWicf9u) v0VhEmlMsO_l += ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 8) if c2A0yzQpDQB3(Dx_DllZ8uCko) != v0VhEmlMsO_l or c2A0yzQpDQB3(AJyudqWicf9u) != c2A0yzQpDQB3(Dx_DllZ8uCko[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1296 - 1248), 8)]): raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xde\x9d5\xa2^|B\x95\x95VU0\x91\tu\xc1\x13i\xbc\xfa1\x1a\xa3\xd8o\x16\xe8t\x9a\xee\x10\xcf\xaa\x9a\xaa`\x92bp\x8a\xc9\x95w\xb3D9\r\x80\xd4^\\u\x95\x02;\xd0\x01*\xbd\xb4b\x1d\xb2\xcd'), '\x64' + chr(980 - 879) + chr(3486 - 3387) + '\157' + '\x64' + chr(8863 - 8762))(chr(117) + '\164' + chr(0b1100110) + chr(0b1010 + 0o43) + chr(0b111000))) pj2kj85KHEBa = [] for (jh2TBvsWSrg9, NzveIZ3IlSH9) in YlkZvXL8qwsX(pZ0NK2y6HRbn(*Dx_DllZ8uCko), ehT0Px3KOsy9('\x30' + chr(111) + chr(910 - 861), 8)): NzveIZ3IlSH9 = [OeWW0F1dBPRQ.expand_dims(ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x30', 8)) for OeWW0F1dBPRQ in NzveIZ3IlSH9] if v0VhEmlMsO_l != IYhMrtCR6Cji and NzveIZ3IlSH9: LU40qi8HPvAe = [IYhMrtCR6Cji - v0VhEmlMsO_l] + YyaZ4tpXu4lf(NzveIZ3IlSH9[ehT0Px3KOsy9(chr(0b110000) + chr(0b1 + 0o156) + '\060', 8)].nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49), 8):]) jq0C7ttmqXPS = VtU1DncglWAm.empty(shape=LU40qi8HPvAe, ctx=NzveIZ3IlSH9[ehT0Px3KOsy9(chr(714 - 666) + chr(0b1101111) + chr(48), 8)].context, dtype=NzveIZ3IlSH9[ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100010 + 0o16), 8)].jSV9IKnemH7K) NzveIZ3IlSH9 = YyaZ4tpXu4lf(NzveIZ3IlSH9) + [jq0C7ttmqXPS] try: xafqLlk3kkUe(pj2kj85KHEBa, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\xdb\x802\xa9H'), '\144' + chr(0b10100 + 0o121) + chr(0b1100011) + chr(111) + chr(0b10101 + 0o117) + '\x65')(chr(0b10101 + 0o140) + chr(0b1110100) + '\x66' + chr(45) + chr(0b11 + 0o65)))(xafqLlk3kkUe(VtU1DncglWAm.op, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xc4\x9e4\xa6X'), chr(0b1100100) + chr(0b1 + 0o144) + chr(233 - 134) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(5752 - 5636) + '\x66' + chr(941 - 896) + chr(0b11111 + 0o31)))(*NzveIZ3IlSH9, dim=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(48), 8))) except q1QCh3W88sgk: raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0'), '\x64' + chr(0b1100101) + chr(99) + chr(111) + chr(100) + '\145')(chr(0b1110101) + '\164' + '\146' + chr(0b100110 + 0o7) + chr(0b100111 + 0o21)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xc4\xa7\x0f\xbdX\nc\x9d\xc4{\x7f'), chr(0b1100100) + chr(6634 - 6533) + chr(3052 - 2953) + chr(0b110000 + 0o77) + '\x64' + chr(0b100010 + 0o103))(chr(10742 - 10625) + chr(2739 - 2623) + '\x66' + chr(0b101101) + chr(294 - 238)))([xafqLlk3kkUe(SXOLrMavuUCe(b"\xf9\xc3\x91'\xa2_|B\x95\x95\x16]x\x88\x04;\xd0\x0c,\xb8\xf1\x7f\x1d\xa4\x9dv'\xa7r\x9a\xfb\x15\xe4\xe5\x9c\xb6\x7f\x92zg\x8a\xca\x822\xe7E2N\x9c\xdb@P&\x88\tu\xc1Li\xa2\xfcx\n\xbf\x9d~;\xe2;"), '\144' + chr(0b1010100 + 0o21) + '\x63' + chr(0b1010101 + 0o32) + '\144' + '\x65')(chr(11527 - 11410) + chr(116) + '\146' + chr(45) + '\x38') % jh2TBvsWSrg9] + [xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x8b\xa3#\xa2\\|\x08\x97\x99\x13J=\x9d\x1c~\x95\t:\xf5\xb1b'), chr(2988 - 2888) + chr(101) + chr(99) + chr(10846 - 10735) + chr(0b1100100) + '\145')('\x75' + chr(116) + '\x66' + chr(0b101101) + chr(1537 - 1481)) % (WVxHKyX45z_L, M8_cKLkHVB2V(xafqLlk3kkUe(OeWW0F1dBPRQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\xca\x85\x0e\xa1`;A\xa7\xc5P['), chr(100) + chr(0b1100101) + chr(3826 - 3727) + chr(0b11111 + 0o120) + '\x64' + chr(101))(chr(117) + chr(0b1110100) + chr(1864 - 1762) + chr(0b111 + 0o46) + chr(56))))) for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(NzveIZ3IlSH9)])) if hF51pahVwGOT is not None: (pj2kj85KHEBa, VNGQdHSFPrso) = WYAAj2uOOBct(pj2kj85KHEBa, hF51pahVwGOT) if r2Y2g24XEsX5: d6zzvLtyDgPQ = d6zzvLtyDgPQ[ehT0Px3KOsy9(chr(465 - 417) + chr(111) + chr(0b110000), 8)] return (pj2kj85KHEBa, d6zzvLtyDgPQ)
apache/incubator-mxnet
python/mxnet/ndarray/contrib.py
cond
def cond(pred, then_func, else_func): """Run an if-then-else using user-defined condition and computation This operator simulates a if-like branch which chooses to do one of the two customized computations according to the specified condition. `pred` is a scalar MXNet NDArray, indicating which branch of computation should be used. `then_func` is a user-defined function, used as computation of the then branch. It produces `outputs`, which is a list of NDArrays. The signature of `then_func` should be `then_func() => NDArray or nested List[NDArray]`. `else_func` is a user-defined function, used as computation of the else branch. It produces `outputs`, which is a list of NDArrays. The signature of `else_func` should be `else_func() => NDArray or nested List[NDArray]`. The `outputs` produces by `then_func` and `else_func` should have the same number of elements, all of which should be in the same shape, of the same dtype and stype. This function returns a list of symbols, representing the computation result. Parameters ---------- pred: a MXNet NDArray representing a scalar. The branch condition. then_func: a Python function. The computation to be executed if `pred` is true. else_func: a Python function. The computation to be executed if `pred` is false. Returns ------- outputs: an NDArray or nested lists of NDArrays, representing the result of computation. Examples -------- >>> a, b = mx.nd.array([1]), mx.nd.array([2]) >>> pred = a * b < 5 >>> then_func = lambda: (a + 5) * (b + 5) >>> else_func = lambda: (a - 5) * (b - 5) >>> outputs = mx.nd.contrib.cond(pred, then_func, else_func) >>> outputs[0] [42.] <NDArray 1 @cpu(0)> """ def _to_python_scalar(inputs, type_, name): """Converts "inputs", possibly typed mxnet NDArray, a numpy ndarray, other python types, to the given type """ if hasattr(inputs, "asscalar"): inputs = inputs.asscalar() try: inputs = type_(inputs) except: raise ValueError("Cannot convert %s to python %s" % (name, type_.__name__)) return inputs branch = _to_python_scalar(pred, bool, "pred") if branch: return then_func() else: return else_func()
python
def cond(pred, then_func, else_func): """Run an if-then-else using user-defined condition and computation This operator simulates a if-like branch which chooses to do one of the two customized computations according to the specified condition. `pred` is a scalar MXNet NDArray, indicating which branch of computation should be used. `then_func` is a user-defined function, used as computation of the then branch. It produces `outputs`, which is a list of NDArrays. The signature of `then_func` should be `then_func() => NDArray or nested List[NDArray]`. `else_func` is a user-defined function, used as computation of the else branch. It produces `outputs`, which is a list of NDArrays. The signature of `else_func` should be `else_func() => NDArray or nested List[NDArray]`. The `outputs` produces by `then_func` and `else_func` should have the same number of elements, all of which should be in the same shape, of the same dtype and stype. This function returns a list of symbols, representing the computation result. Parameters ---------- pred: a MXNet NDArray representing a scalar. The branch condition. then_func: a Python function. The computation to be executed if `pred` is true. else_func: a Python function. The computation to be executed if `pred` is false. Returns ------- outputs: an NDArray or nested lists of NDArrays, representing the result of computation. Examples -------- >>> a, b = mx.nd.array([1]), mx.nd.array([2]) >>> pred = a * b < 5 >>> then_func = lambda: (a + 5) * (b + 5) >>> else_func = lambda: (a - 5) * (b - 5) >>> outputs = mx.nd.contrib.cond(pred, then_func, else_func) >>> outputs[0] [42.] <NDArray 1 @cpu(0)> """ def _to_python_scalar(inputs, type_, name): """Converts "inputs", possibly typed mxnet NDArray, a numpy ndarray, other python types, to the given type """ if hasattr(inputs, "asscalar"): inputs = inputs.asscalar() try: inputs = type_(inputs) except: raise ValueError("Cannot convert %s to python %s" % (name, type_.__name__)) return inputs branch = _to_python_scalar(pred, bool, "pred") if branch: return then_func() else: return else_func()
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Run an if-then-else using user-defined condition and computation This operator simulates a if-like branch which chooses to do one of the two customized computations according to the specified condition. `pred` is a scalar MXNet NDArray, indicating which branch of computation should be used. `then_func` is a user-defined function, used as computation of the then branch. It produces `outputs`, which is a list of NDArrays. The signature of `then_func` should be `then_func() => NDArray or nested List[NDArray]`. `else_func` is a user-defined function, used as computation of the else branch. It produces `outputs`, which is a list of NDArrays. The signature of `else_func` should be `else_func() => NDArray or nested List[NDArray]`. The `outputs` produces by `then_func` and `else_func` should have the same number of elements, all of which should be in the same shape, of the same dtype and stype. This function returns a list of symbols, representing the computation result. Parameters ---------- pred: a MXNet NDArray representing a scalar. The branch condition. then_func: a Python function. The computation to be executed if `pred` is true. else_func: a Python function. The computation to be executed if `pred` is false. Returns ------- outputs: an NDArray or nested lists of NDArrays, representing the result of computation. Examples -------- >>> a, b = mx.nd.array([1]), mx.nd.array([2]) >>> pred = a * b < 5 >>> then_func = lambda: (a + 5) * (b + 5) >>> else_func = lambda: (a - 5) * (b - 5) >>> outputs = mx.nd.contrib.cond(pred, then_func, else_func) >>> outputs[0] [42.] <NDArray 1 @cpu(0)>
[ "Run", "an", "if", "-", "then", "-", "else", "using", "user", "-", "defined", "condition", "and", "computation" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/contrib.py#L400-L464
train
This operator simulates an if - like branch which chooses to do one of the two customized computations according to the specified condition and then_func and else_func.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b10110 + 0o35) + '\062', 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(1256 - 1206) + chr(363 - 314) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(154 - 103) + chr(48) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11 + 0o154) + chr(0b110001) + '\066' + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101001 + 0o6) + chr(0b11010 + 0o27) + chr(51) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + chr(0b11001 + 0o32) + chr(1816 - 1762) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(0b110011) + chr(0b110000) + '\067', 13964 - 13956), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b110110) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b110011) + '\x37' + chr(0b11011 + 0o27), 57006 - 56998), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(1094 - 1045) + chr(55), 4457 - 4449), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\063' + chr(0b110100) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(586 - 536) + chr(0b1001 + 0o54) + '\065', 38056 - 38048), ehT0Px3KOsy9(chr(506 - 458) + chr(111) + '\x31' + chr(0b110001 + 0o4) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b10001 + 0o40) + chr(629 - 574), 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(11682 - 11571) + chr(49) + chr(0b10000 + 0o45) + '\065', 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(1926 - 1876) + '\x30' + chr(1947 - 1893), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(49) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(54) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1306 - 1256) + chr(1112 - 1061) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1986 - 1936) + '\065' + chr(158 - 110), 15295 - 15287), ehT0Px3KOsy9('\x30' + chr(0b1010111 + 0o30) + chr(49) + chr(54) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(807 - 759) + '\x6f' + '\x31' + chr(0b110111) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(49) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(49) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\066' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(1843 - 1791) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(51) + chr(0b11 + 0o60) + chr(0b11101 + 0o24), 49235 - 49227), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x35' + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b100100 + 0o17) + chr(50) + chr(0b110011), 37728 - 37720), ehT0Px3KOsy9(chr(2171 - 2123) + '\x6f' + chr(0b110001) + chr(0b10100 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(1645 - 1597) + '\x6f' + '\061' + '\060' + '\x30', 0o10), ehT0Px3KOsy9(chr(197 - 149) + chr(0b1101111) + chr(1488 - 1439) + chr(0b11010 + 0o27) + chr(0b110011), 11684 - 11676), ehT0Px3KOsy9('\060' + chr(0b1000100 + 0o53) + '\061' + chr(0b11010 + 0o33) + chr(0b100101 + 0o16), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(0b110001) + chr(1438 - 1386) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10010 + 0o41) + chr(0b110110) + chr(767 - 717), 37564 - 37556), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(50) + '\x34', 0b1000), ehT0Px3KOsy9(chr(1466 - 1418) + chr(111) + chr(51) + chr(596 - 541) + chr(885 - 834), 49750 - 49742), ehT0Px3KOsy9(chr(65 - 17) + chr(0b1101111) + '\061' + chr(0b110110 + 0o0) + '\067', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11111 + 0o26) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4'), '\x64' + '\145' + chr(0b1100011) + '\x6f' + chr(5566 - 5466) + '\x65')(chr(0b101 + 0o160) + '\x74' + chr(102) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def cqK7WzUanJkr(eyamnrN0elUS, XebdrAotATQ1, b3T31BoMjrva): def iecb6o2uAzKj(vXoupepMtCXU, wglhj4WQZuCT, AIvJRzLdDfgF): if lot1PSoAwYhj(vXoupepMtCXU, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xfe\xb3\x10:\x9f\xa6\x06'), '\144' + chr(0b1100000 + 0o5) + chr(4136 - 4037) + chr(0b111011 + 0o64) + chr(0b1100100) + chr(2187 - 2086))('\x75' + '\x74' + chr(1851 - 1749) + chr(0b1 + 0o54) + chr(1598 - 1542))): vXoupepMtCXU = vXoupepMtCXU.asscalar() try: vXoupepMtCXU = wglhj4WQZuCT(vXoupepMtCXU) except ZVWAAMjVVHHl: raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\xec\xae\x1d4\x87\xe7\x17\x95!\x95\xc8\x1e;M\xa3\xff\x10\xeb\xc7U\x0e\xb0\xbfj^\xcb\xf95\x19'), '\144' + chr(0b1100101) + chr(7245 - 7146) + chr(111) + '\x64' + '\145')(chr(0b1110101) + '\x74' + chr(102) + '\x2d' + chr(1160 - 1104)) % (AIvJRzLdDfgF, xafqLlk3kkUe(wglhj4WQZuCT, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\xef\xa5\x19o\x9c\x9d\x05\xb1\x03\xa2\x9b'), chr(0b1100001 + 0o3) + '\x65' + chr(99) + chr(111) + chr(100) + chr(0b1100101))(chr(117) + '\164' + chr(0b10 + 0o144) + chr(45) + chr(1301 - 1245))))) return vXoupepMtCXU I8Rvz5RBnsQd = iecb6o2uAzKj(eyamnrN0elUS, WbBjf8Y7v9VN, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\xff\xa5\x17'), '\144' + chr(7213 - 7112) + '\143' + chr(968 - 857) + '\x64' + '\x65')(chr(117) + chr(0b1110100) + chr(102) + chr(45) + chr(56))) if I8Rvz5RBnsQd: return XebdrAotATQ1() else: return b3T31BoMjrva()
apache/incubator-mxnet
python/mxnet/ndarray/contrib.py
isfinite
def isfinite(data): """Performs an element-wise check to determine if the NDArray contains an infinite element or not. Parameters ---------- input : NDArray An N-D NDArray. Returns ------- output: NDArray The output NDarray, with same shape as input, where 1 indicates the array element is finite i.e. not equal to positive or negative infinity and 0 in places where it is positive or negative infinity. Examples -------- >>> data = mx.nd.array([np.inf, -np.inf, np.NINF, -1]) >>> output = mx.nd.contrib.isfinite(data) >>> output [0. 0. 0. 1.] <NDArray 4 @cpu(0)> """ is_data_not_nan = data == data is_data_not_infinite = data.abs() != np.inf return ndarray.logical_and(is_data_not_infinite, is_data_not_nan)
python
def isfinite(data): """Performs an element-wise check to determine if the NDArray contains an infinite element or not. Parameters ---------- input : NDArray An N-D NDArray. Returns ------- output: NDArray The output NDarray, with same shape as input, where 1 indicates the array element is finite i.e. not equal to positive or negative infinity and 0 in places where it is positive or negative infinity. Examples -------- >>> data = mx.nd.array([np.inf, -np.inf, np.NINF, -1]) >>> output = mx.nd.contrib.isfinite(data) >>> output [0. 0. 0. 1.] <NDArray 4 @cpu(0)> """ is_data_not_nan = data == data is_data_not_infinite = data.abs() != np.inf return ndarray.logical_and(is_data_not_infinite, is_data_not_nan)
[ "def", "isfinite", "(", "data", ")", ":", "is_data_not_nan", "=", "data", "==", "data", "is_data_not_infinite", "=", "data", ".", "abs", "(", ")", "!=", "np", ".", "inf", "return", "ndarray", ".", "logical_and", "(", "is_data_not_infinite", ",", "is_data_not_nan", ")" ]
Performs an element-wise check to determine if the NDArray contains an infinite element or not. Parameters ---------- input : NDArray An N-D NDArray. Returns ------- output: NDArray The output NDarray, with same shape as input, where 1 indicates the array element is finite i.e. not equal to positive or negative infinity and 0 in places where it is positive or negative infinity. Examples -------- >>> data = mx.nd.array([np.inf, -np.inf, np.NINF, -1]) >>> output = mx.nd.contrib.isfinite(data) >>> output [0. 0. 0. 1.] <NDArray 4 @cpu(0)>
[ "Performs", "an", "element", "-", "wise", "check", "to", "determine", "if", "the", "NDArray", "contains", "an", "infinite", "element", "or", "not", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/ndarray/contrib.py#L492-L519
train
Performs an element - wise element - wise check to determine if the NDArray contains an infinite element or not.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(424 - 376) + chr(111) + chr(51) + '\063' + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2202 - 2151) + chr(2454 - 2404) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1011 + 0o46) + chr(53) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110001) + chr(0b1001 + 0o55), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\x35' + chr(2324 - 2272), 52527 - 52519), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\x37' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + '\x31' + chr(50) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(6182 - 6071) + chr(50) + chr(0b110011) + chr(0b110010), 45428 - 45420), ehT0Px3KOsy9('\060' + chr(0b111 + 0o150) + chr(49) + '\067' + '\060', 41281 - 41273), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b110010) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(0b110001) + chr(0b110011) + chr(0b11101 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5402 - 5291) + '\x33' + chr(1805 - 1751) + chr(1957 - 1905), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(302 - 252) + '\x37' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(1300 - 1245) + '\x35', 58963 - 58955), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(49) + chr(0b1010 + 0o50) + chr(53), 51392 - 51384), ehT0Px3KOsy9(chr(0b110000) + chr(2256 - 2145) + chr(51) + chr(0b10101 + 0o36) + '\x30', 8), ehT0Px3KOsy9(chr(1850 - 1802) + chr(111) + chr(0b110001) + chr(1273 - 1223) + chr(2190 - 2135), ord("\x08")), ehT0Px3KOsy9(chr(1324 - 1276) + chr(0b1101111) + '\x32' + chr(861 - 811) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\066' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(786 - 738) + chr(0b100010 + 0o20), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6599 - 6488) + chr(678 - 628) + chr(50), 0o10), ehT0Px3KOsy9(chr(1235 - 1187) + '\157' + '\x35' + chr(0b110010), 6329 - 6321), ehT0Px3KOsy9('\060' + chr(0b1000011 + 0o54) + '\x33' + '\066' + '\064', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b111 + 0o53) + chr(0b10011 + 0o41), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(50) + chr(0b100 + 0o54), 0b1000), ehT0Px3KOsy9('\060' + chr(2437 - 2326) + '\063' + '\x34' + chr(0b1111 + 0o50), 54745 - 54737), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(2039 - 1990) + chr(49) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(373 - 321) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010010 + 0o35) + '\067' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(133 - 81), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + '\066' + chr(714 - 664), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\x34' + chr(2289 - 2234), 0b1000), ehT0Px3KOsy9('\x30' + chr(4299 - 4188) + chr(0b110011) + chr(52) + '\x30', 40946 - 40938), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(9113 - 9002) + chr(0b100100 + 0o16) + chr(50) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(55) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(698 - 587) + chr(713 - 664) + chr(1944 - 1892) + '\067', 53790 - 53782), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100011 + 0o17) + chr(0b1001 + 0o47) + chr(827 - 779), 57623 - 57615), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b10010 + 0o135) + chr(0b110010) + '\066' + chr(1525 - 1470), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(51) + '\066' + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1346 - 1295) + chr(0b110111) + '\x32', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + chr(605 - 557), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6'), chr(4677 - 4577) + '\x65' + '\x63' + '\157' + chr(0b1100100) + chr(0b1100010 + 0o3))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(3000 - 2944)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def XNkaS3uEoMmp(ULnjp6D6efFH): cV3r7J6gMnPw = ULnjp6D6efFH == ULnjp6D6efFH eYVmpTffd97N = ULnjp6D6efFH.abs() != WqUC3KWvYVup.inf return xafqLlk3kkUe(VtU1DncglWAm, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\xbb\x08\xe7\xcf\x9e:\xc5\x19x;'), '\144' + chr(8917 - 8816) + '\143' + chr(111) + chr(0b1100100) + chr(0b110011 + 0o62))(chr(117) + '\x74' + '\x66' + chr(45) + chr(56)))(eYVmpTffd97N, cV3r7J6gMnPw)
apache/incubator-mxnet
example/speech_recognition/stt_layer_lstm.py
vanilla_lstm
def vanilla_lstm(num_hidden, indata, prev_state, param, seqidx, layeridx, is_batchnorm=False, gamma=None, beta=None, name=None): """LSTM Cell symbol""" i2h = mx.sym.FullyConnected(data=indata, weight=param.i2h_weight, bias=param.i2h_bias, num_hidden=num_hidden * 4, name="t%d_l%d_i2h" % (seqidx, layeridx)) if is_batchnorm: if name is not None: i2h = batchnorm(net=i2h, gamma=gamma, beta=beta, name="%s_batchnorm" % name) else: i2h = batchnorm(net=i2h, gamma=gamma, beta=beta) h2h = mx.sym.FullyConnected(data=prev_state.h, weight=param.h2h_weight, bias=param.h2h_bias, num_hidden=num_hidden * 4, name="t%d_l%d_h2h" % (seqidx, layeridx)) gates = i2h + h2h slice_gates = mx.sym.SliceChannel(gates, num_outputs=4, name="t%d_l%d_slice" % (seqidx, layeridx)) in_gate = mx.sym.Activation(slice_gates[0], act_type="sigmoid") in_transform = mx.sym.Activation(slice_gates[1], act_type="tanh") forget_gate = mx.sym.Activation(slice_gates[2], act_type="sigmoid") out_gate = mx.sym.Activation(slice_gates[3], act_type="sigmoid") next_c = (forget_gate * prev_state.c) + (in_gate * in_transform) next_h = out_gate * mx.sym.Activation(next_c, act_type="tanh") return LSTMState(c=next_c, h=next_h)
python
def vanilla_lstm(num_hidden, indata, prev_state, param, seqidx, layeridx, is_batchnorm=False, gamma=None, beta=None, name=None): """LSTM Cell symbol""" i2h = mx.sym.FullyConnected(data=indata, weight=param.i2h_weight, bias=param.i2h_bias, num_hidden=num_hidden * 4, name="t%d_l%d_i2h" % (seqidx, layeridx)) if is_batchnorm: if name is not None: i2h = batchnorm(net=i2h, gamma=gamma, beta=beta, name="%s_batchnorm" % name) else: i2h = batchnorm(net=i2h, gamma=gamma, beta=beta) h2h = mx.sym.FullyConnected(data=prev_state.h, weight=param.h2h_weight, bias=param.h2h_bias, num_hidden=num_hidden * 4, name="t%d_l%d_h2h" % (seqidx, layeridx)) gates = i2h + h2h slice_gates = mx.sym.SliceChannel(gates, num_outputs=4, name="t%d_l%d_slice" % (seqidx, layeridx)) in_gate = mx.sym.Activation(slice_gates[0], act_type="sigmoid") in_transform = mx.sym.Activation(slice_gates[1], act_type="tanh") forget_gate = mx.sym.Activation(slice_gates[2], act_type="sigmoid") out_gate = mx.sym.Activation(slice_gates[3], act_type="sigmoid") next_c = (forget_gate * prev_state.c) + (in_gate * in_transform) next_h = out_gate * mx.sym.Activation(next_c, act_type="tanh") return LSTMState(c=next_c, h=next_h)
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LSTM Cell symbol
[ "LSTM", "Cell", "symbol" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/speech_recognition/stt_layer_lstm.py#L36-L62
train
Returns a vanilla LSTM cell 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(0b11011 + 0o25) + chr(0b1101111) + chr(0b110010) + '\062' + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(453 - 403) + '\060' + chr(1010 - 962), 22038 - 22030), ehT0Px3KOsy9(chr(744 - 696) + chr(0b1101111) + chr(0b100 + 0o55) + '\x37' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\x36' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(11392 - 11281) + chr(0b110111) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x34' + chr(52), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(55) + chr(0b110001), 64945 - 64937), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(2345 - 2234) + chr(49) + chr(0b110111) + '\067', 30859 - 30851), ehT0Px3KOsy9(chr(48) + chr(9694 - 9583) + chr(50) + chr(0b1101 + 0o43), 28551 - 28543), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110000) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(12200 - 12089) + chr(0b110010) + chr(291 - 242) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1902 - 1853) + '\067' + '\067', 8), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + '\062' + '\x36', 16498 - 16490), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(51) + chr(0b110010 + 0o2) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b110 + 0o151) + chr(1584 - 1533) + chr(2601 - 2549) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + chr(0b100111 + 0o13) + '\065' + '\067', 55069 - 55061), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(785 - 734) + chr(0b110010) + chr(0b100 + 0o54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\061' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b110101) + chr(0b110110), 32734 - 32726), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(0b100110 + 0o15) + '\064' + chr(0b110001), 1397 - 1389), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110111) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1088 - 1040) + chr(111) + '\x33' + chr(0b110000 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(1288 - 1240) + chr(4819 - 4708) + '\x35' + '\x36', 0b1000), ehT0Px3KOsy9(chr(953 - 905) + chr(8771 - 8660) + chr(0b110001) + chr(0b110100) + chr(0b110111), 62224 - 62216), ehT0Px3KOsy9('\x30' + chr(111) + chr(55) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1011101 + 0o22) + chr(961 - 912) + chr(2069 - 2015) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2084 - 2035) + '\063' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b110110) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1214 - 1163) + chr(2584 - 2532) + chr(1434 - 1381), 39692 - 39684), ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + '\062' + '\063' + chr(2106 - 2055), ord("\x08")), ehT0Px3KOsy9(chr(451 - 403) + chr(0b1010110 + 0o31) + chr(55) + chr(301 - 249), 46574 - 46566), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(48) + chr(2693 - 2639), 8), ehT0Px3KOsy9(chr(0b110000) + chr(606 - 495) + chr(50) + chr(0b10 + 0o60) + chr(0b100100 + 0o17), 27798 - 27790), ehT0Px3KOsy9('\x30' + chr(2121 - 2010) + '\x31' + '\x33' + chr(50), 23381 - 23373), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(11483 - 11372) + chr(1385 - 1336) + chr(0b110101) + '\061', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(49) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1946 - 1896) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(49), 34501 - 34493), ehT0Px3KOsy9(chr(48) + chr(1340 - 1229) + chr(245 - 196) + chr(0b1010 + 0o54) + '\061', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110110) + chr(49), 15884 - 15876)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(5152 - 5041) + '\065' + chr(1681 - 1633), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc'), chr(6313 - 6213) + chr(101) + chr(99) + chr(111) + chr(0b1000110 + 0o36) + chr(6526 - 6425))(chr(117) + chr(11270 - 11154) + chr(0b1100110) + chr(1998 - 1953) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def hN2pIaLoSJ97(ErqkiO20_RGX, KbLW5iOdIaa7, M8eIWgGk1IKI, NOaGA2BHucaX, rPAbI3pldbG1, n_TkhFwhTpaf, dBStSxre2mvm=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(48), 0o10), nfeH4ZtvQXsW=None, FjcovgoHM1LG=None, AIvJRzLdDfgF=None): LNWoXv4awnTi = CIVheOt0RKQX.sym.FullyConnected(data=KbLW5iOdIaa7, weight=NOaGA2BHucaX.i2h_weight, bias=NOaGA2BHucaX.i2h_bias, num_hidden=ErqkiO20_RGX * ehT0Px3KOsy9(chr(0b110000) + chr(0b110111 + 0o70) + '\064', 0b1000), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xa5\x1e\xecR\x01\x9d y\xb4\xe1'), chr(100) + chr(0b1001101 + 0o30) + '\143' + chr(111) + chr(0b110 + 0o136) + chr(101))(chr(0b1110101) + chr(116) + '\x66' + '\x2d' + chr(0b111000)) % (rPAbI3pldbG1, n_TkhFwhTpaf)) if dBStSxre2mvm: if AIvJRzLdDfgF is not None: LNWoXv4awnTi = cw3ecetcoTmP(net=LNWoXv4awnTi, gamma=nfeH4ZtvQXsW, beta=FjcovgoHM1LG, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xf3%\xd1_P\x9a\x17~\xe9\xfb\x12'), '\144' + chr(0b1100101 + 0o0) + '\x63' + '\x6f' + chr(2599 - 2499) + '\145')('\x75' + '\164' + '\x66' + '\x2d' + chr(1687 - 1631)) % AIvJRzLdDfgF) else: LNWoXv4awnTi = cw3ecetcoTmP(net=LNWoXv4awnTi, gamma=nfeH4ZtvQXsW, beta=FjcovgoHM1LG) CuJT5J55eFFr = CIVheOt0RKQX.sym.FullyConnected(data=M8eIWgGk1IKI.h, weight=NOaGA2BHucaX.h2h_weight, bias=NOaGA2BHucaX.h2h_bias, num_hidden=ErqkiO20_RGX * ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + chr(565 - 513), 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xa5\x1e\xecR\x01\x9d x\xb4\xe1'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b111 + 0o135) + chr(2417 - 2316))(chr(0b1110101) + chr(0b100011 + 0o121) + chr(102) + '\x2d' + chr(0b110000 + 0o10)) % (rPAbI3pldbG1, n_TkhFwhTpaf)) D5FfJKnAV_lN = LNWoXv4awnTi + CuJT5J55eFFr DXweI3ZyvO5j = CIVheOt0RKQX.sym.SliceChannel(D5FfJKnAV_lN, num_outputs=ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + '\x34', 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xa5\x1e\xecR\x01\x9d c\xea\xe0\x1cs'), chr(0b1001100 + 0o30) + chr(6597 - 6496) + '\x63' + chr(0b101101 + 0o102) + '\x64' + '\145')('\165' + chr(0b1101111 + 0o5) + chr(0b110010 + 0o64) + '\055' + chr(0b111000)) % (rPAbI3pldbG1, n_TkhFwhTpaf)) v6RwEBIbitl9 = CIVheOt0RKQX.sym.Activation(DXweI3ZyvO5j[ehT0Px3KOsy9(chr(0b110000) + chr(5208 - 5097) + chr(48), 8)], act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xe9\x1d\xdeQM\x9d'), chr(100) + '\x65' + chr(7782 - 7683) + chr(0b10111 + 0o130) + chr(2629 - 2529) + chr(6416 - 6315))(chr(117) + '\x74' + '\x66' + chr(0b10111 + 0o26) + chr(56))) r2WkCWWDY1cC = CIVheOt0RKQX.sym.Activation(DXweI3ZyvO5j[ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(0b110001), 0o10)], act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xe1\x14\xdb'), '\x64' + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b110000 + 0o65))('\165' + chr(116) + chr(0b110101 + 0o61) + '\x2d' + chr(2536 - 2480))) EOOUpdU2rypO = CIVheOt0RKQX.sym.Activation(DXweI3ZyvO5j[ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010), 0b1000)], act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xe9\x1d\xdeQM\x9d'), chr(0b1100100) + chr(0b101111 + 0o66) + chr(99) + chr(111) + chr(1498 - 1398) + chr(0b1100101))('\165' + chr(8832 - 8716) + '\146' + chr(0b101101) + '\070')) YIy69crfvadT = CIVheOt0RKQX.sym.Activation(DXweI3ZyvO5j[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(257 - 206), 0o10)], act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xe9\x1d\xdeQM\x9d'), chr(8853 - 8753) + chr(6161 - 6060) + '\x63' + chr(111) + chr(7460 - 7360) + chr(0b1100101))(chr(117) + '\164' + chr(102) + '\055' + chr(0b100100 + 0o24))) aVykvhFbMl6D = EOOUpdU2rypO * M8eIWgGk1IKI.qzn1Ctg9WgNh + v6RwEBIbitl9 * r2WkCWWDY1cC Gy3IFRHsltIs = YIy69crfvadT * CIVheOt0RKQX.sym.Activation(aVykvhFbMl6D, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xe1\x14\xdb'), chr(100) + chr(5119 - 5018) + chr(4928 - 4829) + '\x6f' + '\144' + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(3951 - 3849) + chr(45) + chr(0b10100 + 0o44))) return gWKj0a5Jy1Tx(c=aVykvhFbMl6D, h=Gy3IFRHsltIs)
apache/incubator-mxnet
example/speech_recognition/stt_layer_lstm.py
lstm
def lstm(num_hidden, indata, prev_state, param, seqidx, layeridx, dropout=0., num_hidden_proj=0, is_batchnorm=False, gamma=None, beta=None, name=None): """LSTM Cell symbol""" # dropout input if dropout > 0.: indata = mx.sym.Dropout(data=indata, p=dropout) i2h = mx.sym.FullyConnected(data=indata, weight=param.i2h_weight, bias=param.i2h_bias, num_hidden=num_hidden * 4, name="t%d_l%d_i2h" % (seqidx, layeridx)) if is_batchnorm: if name is not None: i2h = batchnorm(net=i2h, gamma=gamma, beta=beta, name="%s_batchnorm" % name) else: i2h = batchnorm(net=i2h, gamma=gamma, beta=beta) h2h = mx.sym.FullyConnected(data=prev_state.h, weight=param.h2h_weight, # bias=param.h2h_bias, no_bias=True, num_hidden=num_hidden * 4, name="t%d_l%d_h2h" % (seqidx, layeridx)) gates = i2h + h2h slice_gates = mx.sym.SliceChannel(gates, num_outputs=4, name="t%d_l%d_slice" % (seqidx, layeridx)) Wcidc = mx.sym.broadcast_mul(param.c2i_bias, prev_state.c) + slice_gates[0] in_gate = mx.sym.Activation(Wcidc, act_type="sigmoid") in_transform = mx.sym.Activation(slice_gates[1], act_type="tanh") Wcfdc = mx.sym.broadcast_mul(param.c2f_bias, prev_state.c) + slice_gates[2] forget_gate = mx.sym.Activation(Wcfdc, act_type="sigmoid") next_c = (forget_gate * prev_state.c) + (in_gate * in_transform) Wcoct = mx.sym.broadcast_mul(param.c2o_bias, next_c) + slice_gates[3] out_gate = mx.sym.Activation(Wcoct, act_type="sigmoid") next_h = out_gate * mx.sym.Activation(next_c, act_type="tanh") if num_hidden_proj > 0: proj_next_h = mx.sym.FullyConnected(data=next_h, weight=param.ph2h_weight, no_bias=True, num_hidden=num_hidden_proj, name="t%d_l%d_ph2h" % (seqidx, layeridx)) return LSTMState(c=next_c, h=proj_next_h) else: return LSTMState(c=next_c, h=next_h)
python
def lstm(num_hidden, indata, prev_state, param, seqidx, layeridx, dropout=0., num_hidden_proj=0, is_batchnorm=False, gamma=None, beta=None, name=None): """LSTM Cell symbol""" # dropout input if dropout > 0.: indata = mx.sym.Dropout(data=indata, p=dropout) i2h = mx.sym.FullyConnected(data=indata, weight=param.i2h_weight, bias=param.i2h_bias, num_hidden=num_hidden * 4, name="t%d_l%d_i2h" % (seqidx, layeridx)) if is_batchnorm: if name is not None: i2h = batchnorm(net=i2h, gamma=gamma, beta=beta, name="%s_batchnorm" % name) else: i2h = batchnorm(net=i2h, gamma=gamma, beta=beta) h2h = mx.sym.FullyConnected(data=prev_state.h, weight=param.h2h_weight, # bias=param.h2h_bias, no_bias=True, num_hidden=num_hidden * 4, name="t%d_l%d_h2h" % (seqidx, layeridx)) gates = i2h + h2h slice_gates = mx.sym.SliceChannel(gates, num_outputs=4, name="t%d_l%d_slice" % (seqidx, layeridx)) Wcidc = mx.sym.broadcast_mul(param.c2i_bias, prev_state.c) + slice_gates[0] in_gate = mx.sym.Activation(Wcidc, act_type="sigmoid") in_transform = mx.sym.Activation(slice_gates[1], act_type="tanh") Wcfdc = mx.sym.broadcast_mul(param.c2f_bias, prev_state.c) + slice_gates[2] forget_gate = mx.sym.Activation(Wcfdc, act_type="sigmoid") next_c = (forget_gate * prev_state.c) + (in_gate * in_transform) Wcoct = mx.sym.broadcast_mul(param.c2o_bias, next_c) + slice_gates[3] out_gate = mx.sym.Activation(Wcoct, act_type="sigmoid") next_h = out_gate * mx.sym.Activation(next_c, act_type="tanh") if num_hidden_proj > 0: proj_next_h = mx.sym.FullyConnected(data=next_h, weight=param.ph2h_weight, no_bias=True, num_hidden=num_hidden_proj, name="t%d_l%d_ph2h" % (seqidx, layeridx)) return LSTMState(c=next_c, h=proj_next_h) else: return LSTMState(c=next_c, h=next_h)
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LSTM Cell symbol
[ "LSTM", "Cell", "symbol" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/speech_recognition/stt_layer_lstm.py#L65-L118
train
LSTM Cell 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(48) + '\157' + chr(785 - 735) + '\062' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(240 - 192) + '\x6f' + '\062' + chr(740 - 689) + chr(708 - 653), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110110 + 0o71) + chr(0b1110 + 0o45) + chr(51) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + '\064' + chr(0b1110 + 0o47), 56664 - 56656), ehT0Px3KOsy9(chr(0b110000) + chr(5752 - 5641) + chr(49) + chr(55) + chr(2273 - 2223), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1011 + 0o47) + '\061' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(2236 - 2188) + '\157' + chr(51) + chr(55) + chr(243 - 192), ord("\x08")), ehT0Px3KOsy9(chr(1741 - 1693) + chr(1461 - 1350) + '\x32' + chr(0b10000 + 0o41) + chr(249 - 200), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(877 - 822) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11 + 0o60) + chr(0b110011) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110100) + '\x34', 22485 - 22477), ehT0Px3KOsy9('\060' + '\x6f' + chr(2427 - 2376) + chr(53) + chr(49), 22604 - 22596), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\063' + '\x30' + chr(0b110101), 21494 - 21486), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + chr(0b1110 + 0o44) + chr(0b100110 + 0o12) + chr(0b11000 + 0o35), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(53) + chr(0b1111 + 0o41), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1101 - 1049) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(11018 - 10907) + '\x33' + chr(0b10010 + 0o45) + chr(2389 - 2336), 7992 - 7984), ehT0Px3KOsy9('\060' + chr(5258 - 5147) + chr(55) + chr(0b101111 + 0o5), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110001) + chr(48), 49928 - 49920), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1001 + 0o50) + '\x37' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(1233 - 1181) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2645 - 2534) + chr(0b100010 + 0o21) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(2056 - 2008) + chr(0b1101111) + chr(0b110001) + chr(0b100111 + 0o17) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001001 + 0o46) + '\x31' + chr(0b110100) + chr(50), 8), ehT0Px3KOsy9(chr(1194 - 1146) + chr(0b1101111) + chr(830 - 781) + chr(2367 - 2316), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101110 + 0o4) + chr(51) + chr(488 - 437), 19177 - 19169), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100000 + 0o23) + chr(0b101011 + 0o11) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b101111 + 0o7) + chr(0b110001 + 0o3), 0b1000), ehT0Px3KOsy9(chr(1233 - 1185) + chr(0b1101111) + chr(1200 - 1145) + chr(0b11100 + 0o33), 14902 - 14894), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(745 - 694) + '\x32' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(1492 - 1440) + chr(0b110100), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(55) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x34' + '\064', 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(0b110011) + chr(0b101000 + 0o13) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(51) + chr(0b10011 + 0o37) + chr(0b110001 + 0o6), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(796 - 745) + '\x32' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010010 + 0o35) + '\063' + '\060' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b110101) + '\x37', 46245 - 46237), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11011 + 0o30) + '\066' + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1660 - 1611) + '\063' + '\061', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\065' + chr(1784 - 1736), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe'), '\x64' + chr(2583 - 2482) + chr(2775 - 2676) + chr(0b101 + 0o152) + '\144' + chr(0b1100101))(chr(920 - 803) + '\x74' + '\146' + chr(0b111 + 0o46) + chr(620 - 564)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def M4FLVuacvPuQ(ErqkiO20_RGX, KbLW5iOdIaa7, M8eIWgGk1IKI, NOaGA2BHucaX, rPAbI3pldbG1, n_TkhFwhTpaf, ag0mwEgWzjYv=0.0, Z6Oc5GPkHDTr=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1402 - 1354), ord("\x08")), dBStSxre2mvm=ehT0Px3KOsy9(chr(0b110000) + chr(4181 - 4070) + '\060', 8), nfeH4ZtvQXsW=None, FjcovgoHM1LG=None, AIvJRzLdDfgF=None): if ag0mwEgWzjYv > 0.0: KbLW5iOdIaa7 = CIVheOt0RKQX.sym.Dropout(data=KbLW5iOdIaa7, p=ag0mwEgWzjYv) LNWoXv4awnTi = CIVheOt0RKQX.sym.FullyConnected(data=KbLW5iOdIaa7, weight=NOaGA2BHucaX.i2h_weight, bias=NOaGA2BHucaX.i2h_bias, num_hidden=ErqkiO20_RGX * ehT0Px3KOsy9(chr(1737 - 1689) + '\157' + chr(2067 - 2015), 0o10), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xba\xbaz\x16\xa8\x9f\xd6U\xe8\x8c'), '\144' + '\145' + '\x63' + chr(0b1101111) + '\144' + chr(101))(chr(117) + '\164' + chr(10286 - 10184) + chr(0b1100 + 0o41) + chr(0b101101 + 0o13)) % (rPAbI3pldbG1, n_TkhFwhTpaf)) if dBStSxre2mvm: if AIvJRzLdDfgF is not None: LNWoXv4awnTi = cw3ecetcoTmP(net=LNWoXv4awnTi, gamma=nfeH4ZtvQXsW, beta=FjcovgoHM1LG, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\xec\x81G\x1b\xf9\x98\xe1R\xb5\x96\x84'), chr(100) + chr(101) + '\x63' + chr(0b1010001 + 0o36) + chr(100) + '\x65')(chr(0b1101111 + 0o6) + chr(0b1101101 + 0o7) + chr(0b1100110) + '\x2d' + '\x38') % AIvJRzLdDfgF) else: LNWoXv4awnTi = cw3ecetcoTmP(net=LNWoXv4awnTi, gamma=nfeH4ZtvQXsW, beta=FjcovgoHM1LG) CuJT5J55eFFr = CIVheOt0RKQX.sym.FullyConnected(data=M8eIWgGk1IKI.h, weight=NOaGA2BHucaX.h2h_weight, no_bias=ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1001111 + 0o40) + chr(49), 0b1000), num_hidden=ErqkiO20_RGX * ehT0Px3KOsy9(chr(1088 - 1040) + '\157' + '\x34', 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xba\xbaz\x16\xa8\x9f\xd6T\xe8\x8c'), chr(0b1100100) + chr(0b1010011 + 0o22) + chr(99) + chr(0b1010101 + 0o32) + '\x64' + '\145')(chr(117) + chr(0b1110100) + '\x66' + chr(0b111 + 0o46) + chr(0b100101 + 0o23)) % (rPAbI3pldbG1, n_TkhFwhTpaf)) D5FfJKnAV_lN = LNWoXv4awnTi + CuJT5J55eFFr DXweI3ZyvO5j = CIVheOt0RKQX.sym.SliceChannel(D5FfJKnAV_lN, num_outputs=ehT0Px3KOsy9(chr(48) + '\157' + '\x34', 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xba\xbaz\x16\xa8\x9f\xd6O\xb6\x8d\x8a\xa0'), chr(0b1100100) + chr(0b1001111 + 0o26) + chr(7465 - 7366) + '\x6f' + chr(0b1100100) + '\x65')(chr(11280 - 11163) + chr(7742 - 7626) + chr(0b110000 + 0o66) + chr(0b101101) + '\x38') % (rPAbI3pldbG1, n_TkhFwhTpaf)) arZEBvm3TV8R = CIVheOt0RKQX.sym.broadcast_mul(NOaGA2BHucaX.c2i_bias, M8eIWgGk1IKI.qzn1Ctg9WgNh) + DXweI3ZyvO5j[ehT0Px3KOsy9(chr(0b110000) + chr(11941 - 11830) + chr(0b110000), 8)] v6RwEBIbitl9 = CIVheOt0RKQX.sym.Activation(arZEBvm3TV8R, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xf6\xb9H\x15\xe4\x9f'), chr(0b100000 + 0o104) + chr(3021 - 2920) + '\x63' + chr(0b1101111) + '\144' + '\145')('\x75' + chr(116) + chr(0b1010110 + 0o20) + chr(854 - 809) + chr(56))) r2WkCWWDY1cC = CIVheOt0RKQX.sym.Activation(DXweI3ZyvO5j[ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(0b110001), 8)], act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xfe\xb0M'), chr(0b1100100) + '\145' + '\x63' + '\x6f' + '\x64' + '\145')('\x75' + '\164' + '\146' + chr(45) + chr(0b111000))) uZntQz6RuKhK = CIVheOt0RKQX.sym.broadcast_mul(NOaGA2BHucaX.c2f_bias, M8eIWgGk1IKI.qzn1Ctg9WgNh) + DXweI3ZyvO5j[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32', ord("\x08"))] EOOUpdU2rypO = CIVheOt0RKQX.sym.Activation(uZntQz6RuKhK, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xf6\xb9H\x15\xe4\x9f'), chr(2349 - 2249) + chr(4838 - 4737) + chr(5297 - 5198) + chr(0b11001 + 0o126) + chr(0b11111 + 0o105) + chr(101))(chr(0b1011000 + 0o35) + chr(116) + '\146' + chr(1606 - 1561) + '\070')) aVykvhFbMl6D = EOOUpdU2rypO * M8eIWgGk1IKI.qzn1Ctg9WgNh + v6RwEBIbitl9 * r2WkCWWDY1cC FvWyVo0A8s2v = CIVheOt0RKQX.sym.broadcast_mul(NOaGA2BHucaX.c2o_bias, aVykvhFbMl6D) + DXweI3ZyvO5j[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51), 16058 - 16050)] YIy69crfvadT = CIVheOt0RKQX.sym.Activation(FvWyVo0A8s2v, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xf6\xb9H\x15\xe4\x9f'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(0b111101 + 0o47) + '\145')(chr(0b1001010 + 0o53) + chr(0b100 + 0o160) + '\146' + chr(1759 - 1714) + chr(0b111000))) Gy3IFRHsltIs = YIy69crfvadT * CIVheOt0RKQX.sym.Activation(aVykvhFbMl6D, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xfe\xb0M'), chr(0b1010 + 0o132) + chr(0b1100101) + chr(0b1100011) + chr(6675 - 6564) + chr(0b1000100 + 0o40) + chr(101))('\x75' + chr(1324 - 1208) + '\x66' + '\055' + '\070')) if Z6Oc5GPkHDTr > ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(131 - 83), 8): cNhOLpWHo7IG = CIVheOt0RKQX.sym.FullyConnected(data=Gy3IFRHsltIs, weight=NOaGA2BHucaX.ph2h_weight, no_bias=ehT0Px3KOsy9(chr(0b110000) + chr(2899 - 2788) + '\x31', 8), num_hidden=Z6Oc5GPkHDTr, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xba\xbaz\x16\xa8\x9f\xd6L\xb2\xd6\x81'), chr(0b1011000 + 0o14) + '\145' + '\143' + '\157' + chr(0b100100 + 0o100) + chr(4910 - 4809))('\x75' + '\164' + chr(8215 - 8113) + '\x2d' + chr(56)) % (rPAbI3pldbG1, n_TkhFwhTpaf)) return gWKj0a5Jy1Tx(c=aVykvhFbMl6D, h=cNhOLpWHo7IG) else: return gWKj0a5Jy1Tx(c=aVykvhFbMl6D, h=Gy3IFRHsltIs)
apache/incubator-mxnet
example/rcnn/symdata/image.py
get_image
def get_image(roi_rec, short, max_size, mean, std): """ read, resize, transform image, return im_tensor, im_info, gt_boxes roi_rec should have keys: ["image", "boxes", "gt_classes", "flipped"] 0 --- x (width, second dim of im) | y (height, first dim of im) """ im = imdecode(roi_rec['image']) if roi_rec["flipped"]: im = im[:, ::-1, :] im, im_scale = resize(im, short, max_size) height, width = im.shape[:2] im_info = np.array([height, width, im_scale], dtype=np.float32) im_tensor = transform(im, mean, std) # gt boxes: (x1, y1, x2, y2, cls) if roi_rec['gt_classes'].size > 0: gt_inds = np.where(roi_rec['gt_classes'] != 0)[0] gt_boxes = np.empty((len(gt_inds), 5), dtype=np.float32) gt_boxes[:, 0:4] = roi_rec['boxes'][gt_inds, :] gt_boxes[:, 4] = roi_rec['gt_classes'][gt_inds] # scale gt_boxes gt_boxes[:, 0:4] *= im_scale else: gt_boxes = np.empty((0, 5), dtype=np.float32) return im_tensor, im_info, gt_boxes
python
def get_image(roi_rec, short, max_size, mean, std): """ read, resize, transform image, return im_tensor, im_info, gt_boxes roi_rec should have keys: ["image", "boxes", "gt_classes", "flipped"] 0 --- x (width, second dim of im) | y (height, first dim of im) """ im = imdecode(roi_rec['image']) if roi_rec["flipped"]: im = im[:, ::-1, :] im, im_scale = resize(im, short, max_size) height, width = im.shape[:2] im_info = np.array([height, width, im_scale], dtype=np.float32) im_tensor = transform(im, mean, std) # gt boxes: (x1, y1, x2, y2, cls) if roi_rec['gt_classes'].size > 0: gt_inds = np.where(roi_rec['gt_classes'] != 0)[0] gt_boxes = np.empty((len(gt_inds), 5), dtype=np.float32) gt_boxes[:, 0:4] = roi_rec['boxes'][gt_inds, :] gt_boxes[:, 4] = roi_rec['gt_classes'][gt_inds] # scale gt_boxes gt_boxes[:, 0:4] *= im_scale else: gt_boxes = np.empty((0, 5), dtype=np.float32) return im_tensor, im_info, gt_boxes
[ "def", "get_image", "(", "roi_rec", ",", "short", ",", "max_size", ",", "mean", ",", "std", ")", ":", "im", "=", "imdecode", "(", "roi_rec", "[", "'image'", "]", ")", "if", "roi_rec", "[", "\"flipped\"", "]", ":", "im", "=", "im", "[", ":", ",", ":", ":", "-", "1", ",", ":", "]", "im", ",", "im_scale", "=", "resize", "(", "im", ",", "short", ",", "max_size", ")", "height", ",", "width", "=", "im", ".", "shape", "[", ":", "2", "]", "im_info", "=", "np", ".", "array", "(", "[", "height", ",", "width", ",", "im_scale", "]", ",", "dtype", "=", "np", ".", "float32", ")", "im_tensor", "=", "transform", "(", "im", ",", "mean", ",", "std", ")", "# gt boxes: (x1, y1, x2, y2, cls)", "if", "roi_rec", "[", "'gt_classes'", "]", ".", "size", ">", "0", ":", "gt_inds", "=", "np", ".", "where", "(", "roi_rec", "[", "'gt_classes'", "]", "!=", "0", ")", "[", "0", "]", "gt_boxes", "=", "np", ".", "empty", "(", "(", "len", "(", "gt_inds", ")", ",", "5", ")", ",", "dtype", "=", "np", ".", "float32", ")", "gt_boxes", "[", ":", ",", "0", ":", "4", "]", "=", "roi_rec", "[", "'boxes'", "]", "[", "gt_inds", ",", ":", "]", "gt_boxes", "[", ":", ",", "4", "]", "=", "roi_rec", "[", "'gt_classes'", "]", "[", "gt_inds", "]", "# scale gt_boxes", "gt_boxes", "[", ":", ",", "0", ":", "4", "]", "*=", "im_scale", "else", ":", "gt_boxes", "=", "np", ".", "empty", "(", "(", "0", ",", "5", ")", ",", "dtype", "=", "np", ".", "float32", ")", "return", "im_tensor", ",", "im_info", ",", "gt_boxes" ]
read, resize, transform image, return im_tensor, im_info, gt_boxes roi_rec should have keys: ["image", "boxes", "gt_classes", "flipped"] 0 --- x (width, second dim of im) | y (height, first dim of im)
[ "read", "resize", "transform", "image", "return", "im_tensor", "im_info", "gt_boxes", "roi_rec", "should", "have", "keys", ":", "[", "image", "boxes", "gt_classes", "flipped", "]", "0", "---", "x", "(", "width", "second", "dim", "of", "im", ")", "|", "y", "(", "height", "first", "dim", "of", "im", ")" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rcnn/symdata/image.py#L22-L49
train
get_image is used to get image from ROI record
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b110101) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100101 + 0o12) + chr(2280 - 2229) + chr(53) + chr(0b110011), 31540 - 31532), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b100000 + 0o24) + chr(0b11001 + 0o32), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2294 - 2183) + chr(49) + chr(0b110111) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111 + 0o0) + '\061' + '\065' + chr(0b1010 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(1072 - 1021) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6004 - 5893) + '\x32' + chr(0b110010) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100100 + 0o21) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + chr(0b100110 + 0o17), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10000 + 0o42) + chr(0b110110) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(2114 - 2003) + chr(49) + chr(0b110100) + chr(0b110011), 8), ehT0Px3KOsy9(chr(558 - 510) + chr(0b111100 + 0o63) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(53) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(393 - 345) + '\x6f' + chr(0b110001 + 0o0) + chr(482 - 431) + chr(1757 - 1706), 0o10), ehT0Px3KOsy9(chr(1576 - 1528) + '\x6f' + chr(920 - 869) + chr(2071 - 2018), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b111101 + 0o62) + '\061' + chr(54) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b101110 + 0o11) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + chr(51) + chr(1760 - 1709) + chr(225 - 172), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(2296 - 2185) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011011 + 0o24) + chr(0b110010) + chr(49) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10000 + 0o137) + chr(0b110010) + '\x33' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(2019 - 1971) + chr(111) + chr(0b1000 + 0o52) + chr(0b10101 + 0o36) + chr(1512 - 1457), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\066' + '\x34', 18485 - 18477), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1010100 + 0o33) + chr(51) + '\067' + chr(1083 - 1035), 6823 - 6815), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1198 - 1149) + '\061' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(488 - 440) + chr(0b1101111) + chr(107 - 58) + chr(190 - 141) + chr(2134 - 2079), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + chr(0b110001) + '\x34' + '\063', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + '\x32' + chr(51) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\x34' + chr(48), 0b1000), ehT0Px3KOsy9(chr(1877 - 1829) + chr(111) + chr(0b110011) + chr(0b101000 + 0o10) + chr(0b1100 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10 + 0o155) + chr(0b110010) + '\060' + chr(0b110000 + 0o6), 0b1000), ehT0Px3KOsy9('\x30' + chr(8271 - 8160) + '\x31' + chr(54), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(48) + chr(907 - 853), 0b1000), ehT0Px3KOsy9(chr(2232 - 2184) + '\157' + chr(0b1 + 0o61) + chr(0b110111) + chr(0b101001 + 0o10), 18024 - 18016), ehT0Px3KOsy9(chr(1039 - 991) + '\x6f' + chr(0b110001) + '\x34' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\065', 54743 - 54735), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(8951 - 8840) + '\x32' + chr(0b110 + 0o55) + chr(1854 - 1806), 8), ehT0Px3KOsy9(chr(48) + chr(0b1001101 + 0o42) + '\061' + chr(2351 - 2300) + chr(53), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1329 - 1276) + chr(1847 - 1799), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x03'), chr(0b1100100) + chr(3418 - 3317) + '\143' + chr(0b1101111) + '\x64' + chr(0b110100 + 0o61))(chr(0b1001101 + 0o50) + '\164' + '\146' + '\x2d' + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def XU61gHYyqwPd(LkIPsZ6FXJNE, e0thzSXYnLPV, suUT3WkEy2BX, aJhItC_Vawlw, o3E_VFExiNOk): VgsKglavAqRV = u609nKcy9gUj(LkIPsZ6FXJNE[xafqLlk3kkUe(SXOLrMavuUCe(b'D\x86\x02\x1a\x0f'), chr(100) + chr(101) + '\143' + chr(111) + chr(0b1100100) + chr(658 - 557))(chr(3112 - 2995) + chr(116) + chr(0b1100110) + '\055' + chr(56))]) if LkIPsZ6FXJNE[xafqLlk3kkUe(SXOLrMavuUCe(b'K\x87\n\r\x1a~\xf6'), chr(0b1100100) + '\x65' + chr(99) + '\x6f' + chr(3787 - 3687) + chr(0b1010111 + 0o16))(chr(0b1110101) + chr(12369 - 12253) + chr(0b111100 + 0o52) + chr(45) + chr(613 - 557))]: VgsKglavAqRV = VgsKglavAqRV[:, ::-ehT0Px3KOsy9('\x30' + chr(4066 - 3955) + '\061', 8), :] (VgsKglavAqRV, iM_NGqavor0K) = x_dQG0ykrOi1(VgsKglavAqRV, e0thzSXYnLPV, suUT3WkEy2BX) (ehbUULKuygfC, mPx09rBTrGXR) = VgsKglavAqRV.nauYfLglTpcb[:ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10101 + 0o35), 4851 - 4843)] Afe4Wbfi3FxT = WqUC3KWvYVup.B0ePDhpqxN5n([ehbUULKuygfC, mPx09rBTrGXR, iM_NGqavor0K], dtype=WqUC3KWvYVup.float32) Un8adtyE9hVG = ASNeIOBhze_M(VgsKglavAqRV, aJhItC_Vawlw, o3E_VFExiNOk) if xafqLlk3kkUe(LkIPsZ6FXJNE[xafqLlk3kkUe(SXOLrMavuUCe(b'J\x9f<\x1e\x06z\xe1[bF'), chr(0b1100100) + '\x65' + '\x63' + chr(0b1101111) + chr(0b1000101 + 0o37) + chr(0b1001010 + 0o33))(chr(0b1000100 + 0o61) + chr(0b111111 + 0o65) + chr(102) + '\x2d' + chr(56))], xafqLlk3kkUe(SXOLrMavuUCe(b'c\xa7\x00\x1eYY\xd1bid\xde\x02'), chr(9913 - 9813) + '\x65' + '\143' + '\157' + chr(0b1100100) + chr(3472 - 3371))(chr(0b1110101) + chr(0b11000 + 0o134) + chr(0b1100110) + chr(45) + chr(1517 - 1461))) > ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11100 + 0o24), ord("\x08")): MKAd2IHF0TtE = WqUC3KWvYVup.dRFAC59yQBm_(LkIPsZ6FXJNE[xafqLlk3kkUe(SXOLrMavuUCe(b'J\x9f<\x1e\x06z\xe1[bF'), chr(0b1100100) + '\145' + chr(0b1100011) + '\157' + chr(6118 - 6018) + chr(101))(chr(0b1110101) + chr(0b110011 + 0o101) + '\x66' + chr(0b10110 + 0o27) + chr(56))] != ehT0Px3KOsy9(chr(560 - 512) + chr(0b1101111) + chr(367 - 319), 8))[ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + chr(0b10010 + 0o36), 8)] gfFMXsTh7nZZ = WqUC3KWvYVup.empty((c2A0yzQpDQB3(MKAd2IHF0TtE), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + '\x35', 3032 - 3024)), dtype=WqUC3KWvYVup.float32) gfFMXsTh7nZZ[:, ehT0Px3KOsy9(chr(48) + chr(10055 - 9944) + chr(0b110000), 8):ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b11 + 0o154) + '\x34', 6593 - 6585)] = LkIPsZ6FXJNE[xafqLlk3kkUe(SXOLrMavuUCe(b'O\x84\x1b\x18\x19'), chr(5278 - 5178) + chr(101) + '\x63' + '\x6f' + chr(100) + '\145')(chr(0b111 + 0o156) + chr(0b1110100) + chr(102) + chr(45) + chr(56))][MKAd2IHF0TtE, :] gfFMXsTh7nZZ[:, ehT0Px3KOsy9(chr(1185 - 1137) + '\x6f' + '\x34', 8)] = LkIPsZ6FXJNE[xafqLlk3kkUe(SXOLrMavuUCe(b'J\x9f<\x1e\x06z\xe1[bF'), chr(100) + chr(6861 - 6760) + chr(8957 - 8858) + chr(111) + chr(6683 - 6583) + '\x65')(chr(0b1110101) + chr(0b1000010 + 0o62) + chr(0b1100110) + chr(45) + chr(56))][MKAd2IHF0TtE] gfFMXsTh7nZZ[:, ehT0Px3KOsy9(chr(48) + chr(111) + '\060', 8):ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1679 - 1627), 8)] *= iM_NGqavor0K else: gfFMXsTh7nZZ = WqUC3KWvYVup.empty((ehT0Px3KOsy9(chr(48) + chr(111) + '\x30', 8), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(2419 - 2308) + chr(549 - 496), 8)), dtype=WqUC3KWvYVup.float32) return (Un8adtyE9hVG, Afe4Wbfi3FxT, gfFMXsTh7nZZ)
apache/incubator-mxnet
example/rcnn/symdata/image.py
imdecode
def imdecode(image_path): """Return BGR image read by opencv""" import os assert os.path.exists(image_path), image_path + ' not found' im = cv2.imread(image_path) return im
python
def imdecode(image_path): """Return BGR image read by opencv""" import os assert os.path.exists(image_path), image_path + ' not found' im = cv2.imread(image_path) return im
[ "def", "imdecode", "(", "image_path", ")", ":", "import", "os", "assert", "os", ".", "path", ".", "exists", "(", "image_path", ")", ",", "image_path", "+", "' not found'", "im", "=", "cv2", ".", "imread", "(", "image_path", ")", "return", "im" ]
Return BGR image read by opencv
[ "Return", "BGR", "image", "read", "by", "opencv" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rcnn/symdata/image.py#L52-L57
train
Return BGR image read by opencv
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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' + '\066' + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + '\x32' + chr(49) + chr(0b1011 + 0o46), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\067' + chr(610 - 561), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(51) + '\x31' + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11101 + 0o25) + chr(1318 - 1264) + chr(0b11111 + 0o22), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101011 + 0o6) + chr(0b100100 + 0o20) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100111 + 0o10) + chr(0b100001 + 0o23) + chr(48), 14885 - 14877), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(1817 - 1769) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b101010 + 0o105) + '\061' + chr(48) + chr(0b1 + 0o63), 0b1000), ehT0Px3KOsy9(chr(379 - 331) + '\157' + chr(668 - 618) + chr(0b11111 + 0o25) + chr(0b100011 + 0o20), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + '\x33' + '\067' + chr(0b110010), 20443 - 20435), ehT0Px3KOsy9('\060' + chr(0b1010 + 0o145) + '\x32' + '\x32' + chr(1386 - 1335), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\x37' + '\063', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\060' + '\060', 13855 - 13847), ehT0Px3KOsy9('\x30' + chr(11856 - 11745) + chr(0b110010) + chr(0b110100) + chr(0b10100 + 0o36), 25478 - 25470), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(54) + chr(0b11001 + 0o30), 55700 - 55692), ehT0Px3KOsy9(chr(48) + chr(111) + '\067' + chr(0b101110 + 0o11), 32454 - 32446), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\067' + chr(1326 - 1273), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000000 + 0o57) + chr(0b110010) + '\066' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + '\x32' + chr(0b101000 + 0o13) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1906 - 1858) + chr(10562 - 10451) + chr(50) + '\x31' + chr(1681 - 1627), 0b1000), ehT0Px3KOsy9(chr(1298 - 1250) + '\157' + '\061' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100 + 0o57) + chr(49) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(0b10100 + 0o133) + chr(50) + chr(49) + '\066', 8), ehT0Px3KOsy9('\x30' + chr(0b1100010 + 0o15) + chr(1696 - 1644) + '\064', 0o10), ehT0Px3KOsy9(chr(1142 - 1094) + chr(111) + '\x31' + chr(0b10100 + 0o41) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\067' + '\x33', 8), ehT0Px3KOsy9('\060' + chr(3727 - 3616) + chr(51) + '\x31' + chr(0b110001), 1695 - 1687), ehT0Px3KOsy9(chr(758 - 710) + '\157' + chr(0b110010) + '\067', 36245 - 36237), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(49) + chr(0b110101) + chr(0b100011 + 0o15), 55258 - 55250), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(0b10110 + 0o34) + chr(0b101000 + 0o17), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(51) + chr(0b1100 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(0b110101) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(779 - 731) + chr(111) + '\063' + chr(51) + '\x30', 41620 - 41612), ehT0Px3KOsy9('\060' + chr(0b101001 + 0o106) + '\x37' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(55) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8118 - 8007) + '\x30', 0o10), ehT0Px3KOsy9(chr(2075 - 2027) + '\x6f' + chr(54) + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(993 - 942) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(10724 - 10613) + chr(1143 - 1093) + chr(0b110000) + '\x34', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b111001 + 0o66) + '\x35' + chr(48), 20531 - 20523)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c'), chr(0b111000 + 0o54) + chr(4240 - 4139) + '\143' + chr(0b1101111) + '\x64' + '\x65')(chr(0b1011011 + 0o32) + chr(7838 - 7722) + chr(5880 - 5778) + chr(1413 - 1368) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def u609nKcy9gUj(Tb835n9biJaT): (oqhJDdMJfuwx,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b']\xfa'), '\x64' + '\x65' + '\143' + chr(3526 - 3415) + chr(8572 - 8472) + chr(8141 - 8040))(chr(117) + chr(0b1110100) + chr(8510 - 8408) + '\055' + chr(56))),) assert xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'W\xf1\x10\xb8\xc5\x10'), '\144' + chr(101) + '\x63' + '\x6f' + chr(100) + chr(3939 - 3838))(chr(0b1110101) + chr(0b110010 + 0o102) + chr(0b111100 + 0o52) + '\x2d' + chr(0b111000)))(Tb835n9biJaT), Tb835n9biJaT + xafqLlk3kkUe(SXOLrMavuUCe(b'\x12\xe7\x16\xbf\x91\x05O\xf4*\xc7'), chr(0b1011000 + 0o14) + chr(0b1100101) + chr(0b101 + 0o136) + '\157' + '\144' + chr(0b1010111 + 0o16))('\x75' + chr(0b10000 + 0o144) + chr(0b1100110) + chr(753 - 708) + chr(0b111000)) VgsKglavAqRV = KJXrc9aHu3IJ.imread(Tb835n9biJaT) return VgsKglavAqRV
apache/incubator-mxnet
example/rcnn/symdata/image.py
resize
def resize(im, short, max_size): """ only resize input image to target size and return scale :param im: BGR image input by opencv :param short: one dimensional size (the short side) :param max_size: one dimensional max size (the long side) :return: resized image (NDArray) and scale (float) """ im_shape = im.shape im_size_min = np.min(im_shape[0:2]) im_size_max = np.max(im_shape[0:2]) im_scale = float(short) / float(im_size_min) # prevent bigger axis from being more than max_size: if np.round(im_scale * im_size_max) > max_size: im_scale = float(max_size) / float(im_size_max) im = cv2.resize(im, None, None, fx=im_scale, fy=im_scale, interpolation=cv2.INTER_LINEAR) return im, im_scale
python
def resize(im, short, max_size): """ only resize input image to target size and return scale :param im: BGR image input by opencv :param short: one dimensional size (the short side) :param max_size: one dimensional max size (the long side) :return: resized image (NDArray) and scale (float) """ im_shape = im.shape im_size_min = np.min(im_shape[0:2]) im_size_max = np.max(im_shape[0:2]) im_scale = float(short) / float(im_size_min) # prevent bigger axis from being more than max_size: if np.round(im_scale * im_size_max) > max_size: im_scale = float(max_size) / float(im_size_max) im = cv2.resize(im, None, None, fx=im_scale, fy=im_scale, interpolation=cv2.INTER_LINEAR) return im, im_scale
[ "def", "resize", "(", "im", ",", "short", ",", "max_size", ")", ":", "im_shape", "=", "im", ".", "shape", "im_size_min", "=", "np", ".", "min", "(", "im_shape", "[", "0", ":", "2", "]", ")", "im_size_max", "=", "np", ".", "max", "(", "im_shape", "[", "0", ":", "2", "]", ")", "im_scale", "=", "float", "(", "short", ")", "/", "float", "(", "im_size_min", ")", "# prevent bigger axis from being more than max_size:", "if", "np", ".", "round", "(", "im_scale", "*", "im_size_max", ")", ">", "max_size", ":", "im_scale", "=", "float", "(", "max_size", ")", "/", "float", "(", "im_size_max", ")", "im", "=", "cv2", ".", "resize", "(", "im", ",", "None", ",", "None", ",", "fx", "=", "im_scale", ",", "fy", "=", "im_scale", ",", "interpolation", "=", "cv2", ".", "INTER_LINEAR", ")", "return", "im", ",", "im_scale" ]
only resize input image to target size and return scale :param im: BGR image input by opencv :param short: one dimensional size (the short side) :param max_size: one dimensional max size (the long side) :return: resized image (NDArray) and scale (float)
[ "only", "resize", "input", "image", "to", "target", "size", "and", "return", "scale", ":", "param", "im", ":", "BGR", "image", "input", "by", "opencv", ":", "param", "short", ":", "one", "dimensional", "size", "(", "the", "short", "side", ")", ":", "param", "max_size", ":", "one", "dimensional", "max", "size", "(", "the", "long", "side", ")", ":", "return", ":", "resized", "image", "(", "NDArray", ")", "and", "scale", "(", "float", ")" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rcnn/symdata/image.py#L60-L76
train
resize image to target size and return scale
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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) + '\063' + chr(2447 - 2393) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1360 - 1249) + chr(2191 - 2140) + chr(55) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(1671 - 1560) + chr(0b110 + 0o55) + '\x37' + '\x37', 0o10), ehT0Px3KOsy9(chr(1837 - 1789) + chr(0b1101111) + '\061' + chr(0b110110) + '\066', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b110111) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10000 + 0o137) + '\x33' + chr(51), 9699 - 9691), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1133 - 1083) + chr(50) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6825 - 6714) + chr(51) + '\x32' + chr(2284 - 2236), 0b1000), ehT0Px3KOsy9('\x30' + chr(8987 - 8876) + chr(0b110100) + chr(0b101011 + 0o11), 39132 - 39124), ehT0Px3KOsy9(chr(2267 - 2219) + '\x6f' + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1101 + 0o44) + chr(0b101101 + 0o4) + '\x32', 29561 - 29553), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(271 - 222) + '\064' + '\x36', 52821 - 52813), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(0b11101 + 0o26) + chr(2227 - 2179), ord("\x08")), ehT0Px3KOsy9(chr(1909 - 1861) + '\x6f' + '\x32' + chr(0b110001) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(0b11110 + 0o121) + chr(2394 - 2344) + '\064' + chr(0b101111 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b100100 + 0o16) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1797 - 1749) + chr(6690 - 6579) + '\062' + chr(0b11111 + 0o26) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\x35' + chr(0b100000 + 0o25), 48500 - 48492), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b100110 + 0o14) + chr(0b110000 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(2047 - 1999) + '\157' + chr(2409 - 2359) + chr(52) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111100 + 0o63) + '\061' + chr(0b101010 + 0o7) + chr(1319 - 1268), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(1551 - 1500) + chr(0b110000), 32700 - 32692), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(0b110010) + chr(0b110011) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\x32' + chr(0b101011 + 0o5), 8), ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + chr(49) + '\061' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(0b110001) + '\063' + chr(0b100000 + 0o22), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110111) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7748 - 7637) + '\x31' + '\063' + '\x31', 0o10), ehT0Px3KOsy9(chr(1188 - 1140) + chr(0b1101111) + chr(0b110001) + '\063' + chr(897 - 844), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110 + 0o53) + chr(0b110000 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(2323 - 2273) + '\x34' + '\067', 24006 - 23998), ehT0Px3KOsy9(chr(526 - 478) + chr(111) + '\061' + chr(0b100100 + 0o17) + chr(0b11100 + 0o32), 52928 - 52920), ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + chr(315 - 264) + '\061' + chr(50), 36125 - 36117), ehT0Px3KOsy9(chr(48) + chr(11696 - 11585) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + '\x33' + '\067' + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1383 - 1332) + chr(0b110001) + chr(50), 8), ehT0Px3KOsy9('\060' + chr(12145 - 12034) + chr(49) + chr(0b110001) + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + chr(0b10001 + 0o41) + chr(0b110001) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\x36' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11000 + 0o31), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\065' + chr(1759 - 1711), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd'), chr(0b100 + 0o140) + chr(0b101101 + 0o70) + chr(99) + chr(111) + chr(0b1100100) + '\145')(chr(0b1110101) + '\164' + '\x66' + chr(45) + chr(0b110010 + 0o6)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def x_dQG0ykrOi1(VgsKglavAqRV, e0thzSXYnLPV, suUT3WkEy2BX): S38FoPt3cmlz = VgsKglavAqRV.nauYfLglTpcb iJpZp0l1atEU = WqUC3KWvYVup.Dx22bkKPdt5d(S38FoPt3cmlz[ehT0Px3KOsy9(chr(48) + chr(1235 - 1124) + chr(0b110000), ord("\x08")):ehT0Px3KOsy9('\060' + '\157' + chr(0b1000 + 0o52), 0b1000)]) hb_Mt9sDDLJk = WqUC3KWvYVup.tsdjvlgh9gDP(S38FoPt3cmlz[ehT0Px3KOsy9(chr(48) + chr(111) + '\x30', 8):ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010), 8)]) iM_NGqavor0K = kkSX4ccExqw4(e0thzSXYnLPV) / kkSX4ccExqw4(iJpZp0l1atEU) if xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\x91\x8a\x18\xd9'), chr(0b1100100) + chr(101) + chr(0b1010110 + 0o15) + '\x6f' + chr(0b1001001 + 0o33) + chr(6446 - 6345))('\165' + chr(4394 - 4278) + chr(0b11011 + 0o113) + chr(0b1101 + 0o40) + '\x38'))(iM_NGqavor0K * hb_Mt9sDDLJk) > suUT3WkEy2BX: iM_NGqavor0K = kkSX4ccExqw4(suUT3WkEy2BX) / kkSX4ccExqw4(hb_Mt9sDDLJk) VgsKglavAqRV = KJXrc9aHu3IJ.resize(VgsKglavAqRV, None, None, fx=iM_NGqavor0K, fy=iM_NGqavor0K, interpolation=KJXrc9aHu3IJ.INTER_LINEAR) return (VgsKglavAqRV, iM_NGqavor0K)
apache/incubator-mxnet
example/rcnn/symdata/image.py
transform
def transform(im, mean, std): """ transform into mxnet tensor, subtract pixel size and transform to correct format :param im: [height, width, channel] in BGR :param mean: [RGB pixel mean] :param std: [RGB pixel std var] :return: [batch, channel, height, width] """ im_tensor = np.zeros((3, im.shape[0], im.shape[1])) for i in range(3): im_tensor[i, :, :] = (im[:, :, 2 - i] - mean[i]) / std[i] return im_tensor
python
def transform(im, mean, std): """ transform into mxnet tensor, subtract pixel size and transform to correct format :param im: [height, width, channel] in BGR :param mean: [RGB pixel mean] :param std: [RGB pixel std var] :return: [batch, channel, height, width] """ im_tensor = np.zeros((3, im.shape[0], im.shape[1])) for i in range(3): im_tensor[i, :, :] = (im[:, :, 2 - i] - mean[i]) / std[i] return im_tensor
[ "def", "transform", "(", "im", ",", "mean", ",", "std", ")", ":", "im_tensor", "=", "np", ".", "zeros", "(", "(", "3", ",", "im", ".", "shape", "[", "0", "]", ",", "im", ".", "shape", "[", "1", "]", ")", ")", "for", "i", "in", "range", "(", "3", ")", ":", "im_tensor", "[", "i", ",", ":", ",", ":", "]", "=", "(", "im", "[", ":", ",", ":", ",", "2", "-", "i", "]", "-", "mean", "[", "i", "]", ")", "/", "std", "[", "i", "]", "return", "im_tensor" ]
transform into mxnet tensor, subtract pixel size and transform to correct format :param im: [height, width, channel] in BGR :param mean: [RGB pixel mean] :param std: [RGB pixel std var] :return: [batch, channel, height, width]
[ "transform", "into", "mxnet", "tensor", "subtract", "pixel", "size", "and", "transform", "to", "correct", "format", ":", "param", "im", ":", "[", "height", "width", "channel", "]", "in", "BGR", ":", "param", "mean", ":", "[", "RGB", "pixel", "mean", "]", ":", "param", "std", ":", "[", "RGB", "pixel", "std", "var", "]", ":", "return", ":", "[", "batch", "channel", "height", "width", "]" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rcnn/symdata/image.py#L79-L91
train
transform into mxnet tensor
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(7403 - 7292) + chr(386 - 336) + '\x34', 8626 - 8618), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b100000 + 0o22) + chr(0b1 + 0o63), 0o10), ehT0Px3KOsy9(chr(945 - 897) + '\x6f' + chr(0b101111 + 0o4) + '\060' + '\x33', 6006 - 5998), ehT0Px3KOsy9(chr(900 - 852) + '\157' + chr(51) + '\x35' + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(1518 - 1464) + chr(49), 62518 - 62510), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\062' + chr(0b10110 + 0o36), 50668 - 50660), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\067' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + '\x32' + chr(0b101011 + 0o7) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100111 + 0o110) + chr(392 - 340) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(2300 - 2252) + '\x6f' + chr(1559 - 1510) + '\x34' + chr(0b11001 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\x31' + '\063' + '\x32', 62233 - 62225), ehT0Px3KOsy9('\x30' + chr(5328 - 5217) + chr(0b1110 + 0o45) + chr(1298 - 1249) + chr(440 - 385), 13114 - 13106), ehT0Px3KOsy9('\x30' + chr(1631 - 1520) + chr(0b110001) + chr(0b110101) + chr(0b10000 + 0o40), 6618 - 6610), ehT0Px3KOsy9(chr(1132 - 1084) + '\157' + chr(0b110010) + chr(48) + chr(2265 - 2216), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1101 + 0o46) + chr(1875 - 1824) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100000 + 0o21) + chr(570 - 520) + chr(0b10010 + 0o37), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(0b110001) + chr(2174 - 2121) + chr(0b100111 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + '\x31' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + chr(49) + chr(55) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\x36' + chr(51), 0b1000), ehT0Px3KOsy9(chr(2289 - 2241) + chr(5827 - 5716) + chr(51) + chr(48) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\063' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10101 + 0o36) + chr(0b1000 + 0o56) + chr(1501 - 1453), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11010 + 0o32), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(0b110000) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x33' + chr(1383 - 1335), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10010 + 0o41) + chr(0b11000 + 0o32) + chr(2602 - 2548), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(1059 - 1011) + '\157' + '\x31' + chr(48) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + chr(758 - 709) + chr(1887 - 1838) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(460 - 412) + '\157' + chr(0b10110 + 0o41) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(3114 - 3003) + '\x31' + chr(0b110100) + chr(2355 - 2304), 13030 - 13022), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b10100 + 0o42) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(846 - 795) + chr(536 - 486) + chr(1783 - 1728), 1957 - 1949), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(560 - 512) + '\157' + chr(0b110010) + '\x37' + chr(1949 - 1901), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b110111) + chr(238 - 187), 0b1000), ehT0Px3KOsy9(chr(1547 - 1499) + chr(9368 - 9257) + '\063' + '\x33' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101010 + 0o5) + '\x31' + chr(1169 - 1118) + chr(589 - 536), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11111 + 0o26) + chr(0b11010 + 0o26), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b':'), chr(0b1100100) + '\x65' + chr(99) + chr(0b1101111) + chr(0b11 + 0o141) + '\145')(chr(0b1110101) + chr(116) + chr(102) + '\x2d' + chr(0b101001 + 0o17)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def ASNeIOBhze_M(VgsKglavAqRV, aJhItC_Vawlw, o3E_VFExiNOk): Un8adtyE9hVG = WqUC3KWvYVup.zeros((ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101100 + 0o3) + chr(869 - 818), ord("\x08")), VgsKglavAqRV.nauYfLglTpcb[ehT0Px3KOsy9(chr(1626 - 1578) + chr(0b1101101 + 0o2) + '\x30', 40990 - 40982)], VgsKglavAqRV.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10010 + 0o37), 0b1000)])) for WVxHKyX45z_L in vQr8gNKaIaWE(ehT0Px3KOsy9('\060' + '\157' + chr(0b101000 + 0o13), 8)): Un8adtyE9hVG[WVxHKyX45z_L, :, :] = (VgsKglavAqRV[:, :, ehT0Px3KOsy9(chr(1816 - 1768) + chr(111) + '\062', 8) - WVxHKyX45z_L] - aJhItC_Vawlw[WVxHKyX45z_L]) / o3E_VFExiNOk[WVxHKyX45z_L] return Un8adtyE9hVG
apache/incubator-mxnet
example/rcnn/symdata/image.py
transform_inverse
def transform_inverse(im_tensor, mean, std): """ transform from mxnet im_tensor to ordinary RGB image im_tensor is limited to one image :param im_tensor: [batch, channel, height, width] :param mean: [RGB pixel mean] :param std: [RGB pixel std var] :return: im [height, width, channel(RGB)] """ assert im_tensor.shape[0] == 3 im = im_tensor.transpose((1, 2, 0)) im = im * std + mean im = im.astype(np.uint8) return im
python
def transform_inverse(im_tensor, mean, std): """ transform from mxnet im_tensor to ordinary RGB image im_tensor is limited to one image :param im_tensor: [batch, channel, height, width] :param mean: [RGB pixel mean] :param std: [RGB pixel std var] :return: im [height, width, channel(RGB)] """ assert im_tensor.shape[0] == 3 im = im_tensor.transpose((1, 2, 0)) im = im * std + mean im = im.astype(np.uint8) return im
[ "def", "transform_inverse", "(", "im_tensor", ",", "mean", ",", "std", ")", ":", "assert", "im_tensor", ".", "shape", "[", "0", "]", "==", "3", "im", "=", "im_tensor", ".", "transpose", "(", "(", "1", ",", "2", ",", "0", ")", ")", "im", "=", "im", "*", "std", "+", "mean", "im", "=", "im", ".", "astype", "(", "np", ".", "uint8", ")", "return", "im" ]
transform from mxnet im_tensor to ordinary RGB image im_tensor is limited to one image :param im_tensor: [batch, channel, height, width] :param mean: [RGB pixel mean] :param std: [RGB pixel std var] :return: im [height, width, channel(RGB)]
[ "transform", "from", "mxnet", "im_tensor", "to", "ordinary", "RGB", "image", "im_tensor", "is", "limited", "to", "one", "image", ":", "param", "im_tensor", ":", "[", "batch", "channel", "height", "width", "]", ":", "param", "mean", ":", "[", "RGB", "pixel", "mean", "]", ":", "param", "std", ":", "[", "RGB", "pixel", "std", "var", "]", ":", "return", ":", "im", "[", "height", "width", "channel", "(", "RGB", ")", "]" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rcnn/symdata/image.py#L94-L107
train
transform from mxnet im_tensor to ordinary RGB image im_tensor is limited to one 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(chr(0b110000) + chr(0b1101111) + chr(1703 - 1653) + '\x33' + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(3581 - 3470) + chr(0b11001 + 0o30) + chr(55) + chr(51), 669 - 661), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(0b110001) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10156 - 10045) + chr(1100 - 1049) + '\x36' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\061' + chr(0b110011), 42013 - 42005), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + chr(51) + chr(54) + chr(1832 - 1779), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + '\x35', 16084 - 16076), ehT0Px3KOsy9('\060' + chr(6902 - 6791) + '\063' + chr(0b10011 + 0o37) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(1266 - 1214) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110101) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(55) + chr(586 - 534), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1543 - 1492) + '\x37' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\x37' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(0b110010) + chr(0b1001 + 0o56) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b110011) + '\065', 0o10), ehT0Px3KOsy9(chr(1589 - 1541) + chr(0b1101111) + '\x33' + chr(60 - 10), ord("\x08")), ehT0Px3KOsy9(chr(1413 - 1365) + '\x6f' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5041 - 4930) + chr(0b110001) + '\x30' + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(480 - 427) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(485 - 436) + chr(0b110111) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(217 - 165) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(0b110010) + chr(0b101011 + 0o10) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(169 - 118) + chr(0b110010) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1285 - 1237) + chr(0b1101111) + chr(1287 - 1238) + chr(0b110110) + chr(1772 - 1720), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(724 - 674) + chr(2055 - 2003) + chr(55), 8), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b1101 + 0o45) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b101101 + 0o102) + chr(2036 - 1987) + '\x32' + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b11100 + 0o24) + chr(659 - 611), 44085 - 44077), ehT0Px3KOsy9(chr(903 - 855) + chr(111) + chr(1234 - 1185) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1366 - 1315), 8), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(292 - 241) + chr(0b110 + 0o57) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5950 - 5839) + chr(49) + '\061' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(7555 - 7444) + '\x35' + chr(2192 - 2140), 8796 - 8788), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b110110) + chr(2043 - 1989), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(7563 - 7452) + chr(0b110001) + '\x33' + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8309 - 8198) + chr(50) + chr(0b101 + 0o56) + chr(951 - 902), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1556 - 1506) + chr(1593 - 1541) + chr(76 - 22), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(200 - 152) + chr(1010 - 899) + chr(53) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2'), chr(0b11111 + 0o105) + chr(0b101010 + 0o73) + chr(99) + '\x6f' + '\144' + chr(0b1100101))('\165' + '\x74' + chr(0b110000 + 0o66) + '\055' + chr(0b10010 + 0o46)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def tO9MHJtgcvjJ(Un8adtyE9hVG, aJhItC_Vawlw, o3E_VFExiNOk): assert xafqLlk3kkUe(Un8adtyE9hVG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x1a|\xaf\xad\xb9Z\xb9\xf3Z\x9f\x9c'), chr(0b10110 + 0o116) + '\x65' + chr(7706 - 7607) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + chr(116) + chr(102) + chr(863 - 818) + chr(0b110101 + 0o3)))[ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + '\060', 0o10)] == ehT0Px3KOsy9(chr(1305 - 1257) + '\157' + '\x33', 8) VgsKglavAqRV = Un8adtyE9hVG.transpose((ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(505 - 456), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + chr(11615 - 11504) + '\060', 8))) VgsKglavAqRV = VgsKglavAqRV * o3E_VFExiNOk + aJhItC_Vawlw VgsKglavAqRV = VgsKglavAqRV.astype(WqUC3KWvYVup.uint8) return VgsKglavAqRV
apache/incubator-mxnet
example/rcnn/symdata/image.py
tensor_vstack
def tensor_vstack(tensor_list, pad=0): """ vertically stack tensors by adding a new axis expand dims if only 1 tensor :param tensor_list: list of tensor to be stacked vertically :param pad: label to pad with :return: tensor with max shape """ if len(tensor_list) == 1: return tensor_list[0][np.newaxis, :] ndim = len(tensor_list[0].shape) dimensions = [len(tensor_list)] # first dim is batch size for dim in range(ndim): dimensions.append(max([tensor.shape[dim] for tensor in tensor_list])) dtype = tensor_list[0].dtype if pad == 0: all_tensor = np.zeros(tuple(dimensions), dtype=dtype) elif pad == 1: all_tensor = np.ones(tuple(dimensions), dtype=dtype) else: all_tensor = np.full(tuple(dimensions), pad, dtype=dtype) if ndim == 1: for ind, tensor in enumerate(tensor_list): all_tensor[ind, :tensor.shape[0]] = tensor elif ndim == 2: for ind, tensor in enumerate(tensor_list): all_tensor[ind, :tensor.shape[0], :tensor.shape[1]] = tensor elif ndim == 3: for ind, tensor in enumerate(tensor_list): all_tensor[ind, :tensor.shape[0], :tensor.shape[1], :tensor.shape[2]] = tensor else: raise Exception('Sorry, unimplemented.') return all_tensor
python
def tensor_vstack(tensor_list, pad=0): """ vertically stack tensors by adding a new axis expand dims if only 1 tensor :param tensor_list: list of tensor to be stacked vertically :param pad: label to pad with :return: tensor with max shape """ if len(tensor_list) == 1: return tensor_list[0][np.newaxis, :] ndim = len(tensor_list[0].shape) dimensions = [len(tensor_list)] # first dim is batch size for dim in range(ndim): dimensions.append(max([tensor.shape[dim] for tensor in tensor_list])) dtype = tensor_list[0].dtype if pad == 0: all_tensor = np.zeros(tuple(dimensions), dtype=dtype) elif pad == 1: all_tensor = np.ones(tuple(dimensions), dtype=dtype) else: all_tensor = np.full(tuple(dimensions), pad, dtype=dtype) if ndim == 1: for ind, tensor in enumerate(tensor_list): all_tensor[ind, :tensor.shape[0]] = tensor elif ndim == 2: for ind, tensor in enumerate(tensor_list): all_tensor[ind, :tensor.shape[0], :tensor.shape[1]] = tensor elif ndim == 3: for ind, tensor in enumerate(tensor_list): all_tensor[ind, :tensor.shape[0], :tensor.shape[1], :tensor.shape[2]] = tensor else: raise Exception('Sorry, unimplemented.') return all_tensor
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vertically stack tensors by adding a new axis expand dims if only 1 tensor :param tensor_list: list of tensor to be stacked vertically :param pad: label to pad with :return: tensor with max shape
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rcnn/symdata/image.py#L110-L144
train
This function creates a tensor of the same shape as the list of tensors.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x35' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1000 + 0o52) + chr(0b110111) + chr(301 - 249), 0o10), ehT0Px3KOsy9(chr(1663 - 1615) + chr(0b1101111) + chr(0b110010) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + chr(0b1001 + 0o50) + '\x31' + '\067', 0o10), ehT0Px3KOsy9(chr(1973 - 1925) + chr(0b1000001 + 0o56) + chr(709 - 660) + '\x33' + chr(0b11111 + 0o21), 0o10), ehT0Px3KOsy9(chr(1338 - 1290) + '\157' + '\062' + '\063' + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(11302 - 11191) + chr(111 - 63), 59943 - 59935), ehT0Px3KOsy9(chr(48) + chr(12286 - 12175) + '\062' + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011101 + 0o22) + chr(0b110010) + chr(1201 - 1153), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110111) + chr(2160 - 2110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011100 + 0o23) + chr(688 - 634) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1171 - 1118) + chr(257 - 204), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(2125 - 2073) + '\x30', 21279 - 21271), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\x31' + chr(55), 0o10), ehT0Px3KOsy9(chr(1545 - 1497) + chr(6830 - 6719) + chr(1854 - 1803) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b10010 + 0o41) + chr(0b1111 + 0o45), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\x36' + chr(566 - 517), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(2038 - 1987) + chr(1620 - 1567) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x34' + chr(3016 - 2961), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x35' + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(616 - 565) + chr(55) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(2395 - 2284) + chr(0b110011) + chr(113 - 64) + chr(0b110001 + 0o3), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100101 + 0o12) + chr(522 - 469) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + chr(0b110010) + chr(1039 - 990) + chr(827 - 774), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b110011) + chr(48) + chr(0b110101), 24457 - 24449), ehT0Px3KOsy9('\x30' + chr(111) + chr(1681 - 1632) + chr(49) + chr(1648 - 1596), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(55) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b0 + 0o157) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(12303 - 12192) + '\061' + '\061' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b110010) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\x32' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(0b0 + 0o61) + '\x32' + chr(0b11000 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1001000 + 0o47) + '\x32' + '\x35' + chr(0b0 + 0o63), 29379 - 29371), ehT0Px3KOsy9(chr(1287 - 1239) + chr(0b1100110 + 0o11) + chr(0b110001) + '\x32' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11110 + 0o24) + '\067' + chr(51), 5469 - 5461), ehT0Px3KOsy9('\x30' + chr(11977 - 11866) + chr(49) + chr(0b110101) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b110001) + chr(0b1100 + 0o46), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1 + 0o61) + chr(1059 - 1008) + chr(1442 - 1391), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11 + 0o57) + chr(51), 25030 - 25022), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(636 - 586), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + '\x35' + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x86'), '\144' + chr(0b1100101) + chr(99) + '\x6f' + chr(0b10110 + 0o116) + chr(762 - 661))(chr(0b1110101) + chr(0b10110 + 0o136) + '\x66' + '\055' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def t7k2h9akBIjz(KsYMHcMMku6X, jq0C7ttmqXPS=ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + chr(1021 - 973), 8)): if c2A0yzQpDQB3(KsYMHcMMku6X) == ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 41386 - 41378): return KsYMHcMMku6X[ehT0Px3KOsy9(chr(48) + chr(111) + chr(48), 8)][xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xd9c. \xf2s'), '\x64' + chr(0b10100 + 0o121) + '\x63' + chr(0b111101 + 0o62) + chr(100) + chr(203 - 102))(chr(117) + chr(0b111001 + 0o73) + chr(0b1100110) + '\055' + '\x38')), :] gompHBiTsfJT = c2A0yzQpDQB3(KsYMHcMMku6X[ehT0Px3KOsy9(chr(873 - 825) + chr(0b111010 + 0o65) + chr(48), 8)].nauYfLglTpcb) bmmTlWu6JDv_ = [c2A0yzQpDQB3(KsYMHcMMku6X)] for Nl_JhL3qUwSN in vQr8gNKaIaWE(gompHBiTsfJT): xafqLlk3kkUe(bmmTlWu6JDv_, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xccd*6\xff'), chr(100) + '\x65' + chr(3309 - 3210) + chr(5529 - 5418) + chr(604 - 504) + chr(0b1100101))(chr(0b1110101) + chr(0b1010011 + 0o41) + chr(1312 - 1210) + chr(0b101010 + 0o3) + '\x38'))(tsdjvlgh9gDP([xafqLlk3kkUe(LK3cpXJU3UM0, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xdda\x16>\xd7g{DJQO'), chr(4465 - 4365) + '\145' + chr(99) + chr(0b101110 + 0o101) + chr(0b1100100) + '\x65')(chr(0b100 + 0o161) + chr(116) + chr(0b1100100 + 0o2) + chr(1330 - 1285) + chr(0b111000)))[Nl_JhL3qUwSN] for LK3cpXJU3UM0 in KsYMHcMMku6X])) jSV9IKnemH7K = KsYMHcMMku6X[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2118 - 2070), 8)].jSV9IKnemH7K if jq0C7ttmqXPS == ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 8): E0S1T_glyc08 = WqUC3KWvYVup.zeros(KNyTy8rYcwji(bmmTlWu6JDv_), dtype=jSV9IKnemH7K) elif jq0C7ttmqXPS == ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061', 8): E0S1T_glyc08 = WqUC3KWvYVup.ones(KNyTy8rYcwji(bmmTlWu6JDv_), dtype=jSV9IKnemH7K) else: E0S1T_glyc08 = WqUC3KWvYVup.full(KNyTy8rYcwji(bmmTlWu6JDv_), jq0C7ttmqXPS, dtype=jSV9IKnemH7K) if gompHBiTsfJT == ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + chr(0b110001), 8): for (r3s_x88rHjuC, LK3cpXJU3UM0) in YlkZvXL8qwsX(KsYMHcMMku6X): E0S1T_glyc08[r3s_x88rHjuC, :LK3cpXJU3UM0.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + chr(7310 - 7199) + chr(48), 8)]] = LK3cpXJU3UM0 elif gompHBiTsfJT == ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + '\062', 54944 - 54936): for (r3s_x88rHjuC, LK3cpXJU3UM0) in YlkZvXL8qwsX(KsYMHcMMku6X): E0S1T_glyc08[r3s_x88rHjuC, :LK3cpXJU3UM0.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11001 + 0o27), 8)], :LK3cpXJU3UM0.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + '\x31', 8)]] = LK3cpXJU3UM0 elif gompHBiTsfJT == ehT0Px3KOsy9(chr(1511 - 1463) + chr(111) + '\x33', 8): for (r3s_x88rHjuC, LK3cpXJU3UM0) in YlkZvXL8qwsX(KsYMHcMMku6X): E0S1T_glyc08[r3s_x88rHjuC, :LK3cpXJU3UM0.nauYfLglTpcb[ehT0Px3KOsy9(chr(2248 - 2200) + '\157' + chr(1834 - 1786), 8)], :LK3cpXJU3UM0.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 8)], :LK3cpXJU3UM0.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(0b1011111 + 0o20) + chr(907 - 857), 8)]] = LK3cpXJU3UM0 else: raise jLmadlzMdunT(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xd3f=!\xb7 b~S_]L\xaaq9\x9f\x9fBJ\xd5'), '\x64' + chr(8135 - 8034) + chr(0b10110 + 0o115) + '\x6f' + chr(100) + '\x65')(chr(117) + '\164' + '\x66' + chr(0b11001 + 0o24) + chr(414 - 358))) return E0S1T_glyc08
apache/incubator-mxnet
example/gluon/embedding_learning/train.py
get_distance_matrix
def get_distance_matrix(x): """Get distance matrix given a matrix. Used in testing.""" square = nd.sum(x ** 2.0, axis=1, keepdims=True) distance_square = square + square.transpose() - (2.0 * nd.dot(x, x.transpose())) return nd.sqrt(distance_square)
python
def get_distance_matrix(x): """Get distance matrix given a matrix. Used in testing.""" square = nd.sum(x ** 2.0, axis=1, keepdims=True) distance_square = square + square.transpose() - (2.0 * nd.dot(x, x.transpose())) return nd.sqrt(distance_square)
[ "def", "get_distance_matrix", "(", "x", ")", ":", "square", "=", "nd", ".", "sum", "(", "x", "**", "2.0", ",", "axis", "=", "1", ",", "keepdims", "=", "True", ")", "distance_square", "=", "square", "+", "square", ".", "transpose", "(", ")", "-", "(", "2.0", "*", "nd", ".", "dot", "(", "x", ",", "x", ".", "transpose", "(", ")", ")", ")", "return", "nd", ".", "sqrt", "(", "distance_square", ")" ]
Get distance matrix given a matrix. Used in testing.
[ "Get", "distance", "matrix", "given", "a", "matrix", ".", "Used", "in", "testing", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/embedding_learning/train.py#L116-L120
train
Get distance matrix given a matrix. Used in testing.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b0 + 0o62) + chr(48) + chr(0b11 + 0o60), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(51) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1648 - 1600) + '\x6f' + chr(309 - 260) + chr(0b101001 + 0o15) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + '\x34' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + chr(54) + chr(0b110010), 9722 - 9714), ehT0Px3KOsy9(chr(1044 - 996) + chr(0b1101111) + '\x33' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b110111) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101111 + 0o3) + chr(0b1111 + 0o43) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\x33' + chr(0b11101 + 0o23), 19215 - 19207), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b1100 + 0o47) + chr(0b101011 + 0o10), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(955 - 906) + chr(0b10111 + 0o33), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + '\061' + chr(53) + chr(0b110 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + '\x32' + '\062' + chr(290 - 235), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b10110 + 0o34) + chr(0b11001 + 0o34) + chr(2112 - 2063), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100101 + 0o14) + chr(0b101110 + 0o10) + chr(0b100101 + 0o20), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1844 - 1733) + chr(0b110010) + chr(0b110011) + chr(0b101011 + 0o13), 0o10), ehT0Px3KOsy9(chr(180 - 132) + chr(0b110001 + 0o76) + chr(51) + chr(0b110101) + chr(0b1110 + 0o42), 0b1000), ehT0Px3KOsy9(chr(954 - 906) + chr(0b1101111) + chr(2075 - 2026) + '\x30' + chr(1584 - 1532), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + chr(0b100010 + 0o24) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100001 + 0o21) + '\x30' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(1970 - 1917) + chr(0b100110 + 0o14), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(800 - 749) + chr(49) + chr(644 - 589), 0o10), ehT0Px3KOsy9(chr(1417 - 1369) + '\157' + '\062' + chr(2738 - 2684) + chr(755 - 707), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110000) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(52) + chr(1499 - 1444), 50463 - 50455), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + '\062' + chr(0b110101) + '\x36', 24505 - 24497), ehT0Px3KOsy9('\x30' + '\157' + chr(2337 - 2286) + '\x36' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + '\063' + chr(50), 62632 - 62624), ehT0Px3KOsy9(chr(1555 - 1507) + chr(0b1101111) + '\063' + chr(51) + chr(748 - 700), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\x37' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\x34' + chr(0b1001 + 0o52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(1958 - 1905) + chr(0b110001), 8), ehT0Px3KOsy9('\060' + chr(8145 - 8034) + chr(0b111 + 0o54) + chr(0b110001) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\066' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1901 - 1853) + chr(3324 - 3213) + '\061' + chr(55), 7027 - 7019), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + chr(51) + chr(2521 - 2468) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + chr(49) + '\064' + chr(0b1100 + 0o47), 8), ehT0Px3KOsy9(chr(714 - 666) + chr(111) + chr(51) + chr(0b110111), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101010 + 0o11) + '\061' + chr(2018 - 1967), 41057 - 41049), ehT0Px3KOsy9(chr(1075 - 1027) + chr(111) + '\063' + chr(0b100 + 0o54) + chr(0b110001), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(2514 - 2461) + chr(48), 5324 - 5316)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xad'), '\x64' + chr(101) + chr(99) + chr(0b1010000 + 0o37) + chr(7413 - 7313) + chr(101))('\165' + '\x74' + chr(102) + chr(45) + chr(299 - 243)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def z15VVK5Cl4vo(OeWW0F1dBPRQ): eZPG4oRkYRgb = Vy_CFRcuYrTj.xkxBmo49x2An(OeWW0F1dBPRQ ** 2.0, axis=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100111 + 0o12), 56627 - 56619), keepdims=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(642 - 593), 8)) gcy9uu5Ktc4f = eZPG4oRkYRgb + eZPG4oRkYRgb.transpose() - 2.0 * Vy_CFRcuYrTj.dot(OeWW0F1dBPRQ, OeWW0F1dBPRQ.transpose()) return xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xee\x02T'), chr(9887 - 9787) + chr(1775 - 1674) + '\143' + '\157' + chr(0b10101 + 0o117) + chr(0b1100101))('\165' + chr(11041 - 10925) + chr(0b1011011 + 0o13) + '\x2d' + chr(0b111000)))(gcy9uu5Ktc4f)
apache/incubator-mxnet
example/gluon/embedding_learning/train.py
evaluate_emb
def evaluate_emb(emb, labels): """Evaluate embeddings based on Recall@k.""" d_mat = get_distance_matrix(emb) d_mat = d_mat.asnumpy() labels = labels.asnumpy() names = [] accs = [] for k in [1, 2, 4, 8, 16]: names.append('Recall@%d' % k) correct, cnt = 0.0, 0.0 for i in range(emb.shape[0]): d_mat[i, i] = 1e10 nns = argpartition(d_mat[i], k)[:k] if any(labels[i] == labels[nn] for nn in nns): correct += 1 cnt += 1 accs.append(correct/cnt) return names, accs
python
def evaluate_emb(emb, labels): """Evaluate embeddings based on Recall@k.""" d_mat = get_distance_matrix(emb) d_mat = d_mat.asnumpy() labels = labels.asnumpy() names = [] accs = [] for k in [1, 2, 4, 8, 16]: names.append('Recall@%d' % k) correct, cnt = 0.0, 0.0 for i in range(emb.shape[0]): d_mat[i, i] = 1e10 nns = argpartition(d_mat[i], k)[:k] if any(labels[i] == labels[nn] for nn in nns): correct += 1 cnt += 1 accs.append(correct/cnt) return names, accs
[ "def", "evaluate_emb", "(", "emb", ",", "labels", ")", ":", "d_mat", "=", "get_distance_matrix", "(", "emb", ")", "d_mat", "=", "d_mat", ".", "asnumpy", "(", ")", "labels", "=", "labels", ".", "asnumpy", "(", ")", "names", "=", "[", "]", "accs", "=", "[", "]", "for", "k", "in", "[", "1", ",", "2", ",", "4", ",", "8", ",", "16", "]", ":", "names", ".", "append", "(", "'Recall@%d'", "%", "k", ")", "correct", ",", "cnt", "=", "0.0", ",", "0.0", "for", "i", "in", "range", "(", "emb", ".", "shape", "[", "0", "]", ")", ":", "d_mat", "[", "i", ",", "i", "]", "=", "1e10", "nns", "=", "argpartition", "(", "d_mat", "[", "i", "]", ",", "k", ")", "[", ":", "k", "]", "if", "any", "(", "labels", "[", "i", "]", "==", "labels", "[", "nn", "]", "for", "nn", "in", "nns", ")", ":", "correct", "+=", "1", "cnt", "+=", "1", "accs", ".", "append", "(", "correct", "/", "cnt", ")", "return", "names", ",", "accs" ]
Evaluate embeddings based on Recall@k.
[ "Evaluate", "embeddings", "based", "on", "Recall" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/embedding_learning/train.py#L123-L141
train
Evaluate embeddings based on Recall@k.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1001 + 0o50) + chr(0b110000) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\067' + chr(0b10010 + 0o37), 9606 - 9598), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + '\x31' + '\065' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(53) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(341 - 290) + '\062' + chr(0b110111), 42579 - 42571), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1532 - 1481) + '\067' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(9620 - 9509) + chr(0b110100) + chr(0b101101 + 0o5), 36794 - 36786), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110111) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x35', 46486 - 46478), ehT0Px3KOsy9('\060' + '\157' + chr(0b110111) + chr(0b10101 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(54) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(760 - 712) + '\x6f' + chr(0b110010) + chr(0b110110) + chr(1883 - 1834), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\064' + chr(55), 0o10), ehT0Px3KOsy9(chr(2014 - 1966) + '\157' + chr(877 - 828) + '\x31', 58460 - 58452), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(1779 - 1728), 35407 - 35399), ehT0Px3KOsy9(chr(1167 - 1119) + chr(111) + '\x33' + chr(0b100100 + 0o15) + '\061', 0o10), ehT0Px3KOsy9(chr(1565 - 1517) + '\x6f' + chr(49) + chr(53) + chr(0b101 + 0o57), 12610 - 12602), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(4764 - 4653) + chr(2274 - 2223) + chr(0b10101 + 0o37) + '\x34', 51053 - 51045), ehT0Px3KOsy9(chr(48) + chr(1304 - 1193) + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(51) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(426 - 378) + chr(0b1101111) + '\x31' + '\x31' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\062' + chr(1677 - 1627) + '\064', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(2688 - 2635) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(54) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11011 + 0o30) + chr(0b1111 + 0o46) + chr(0b10101 + 0o37), 6373 - 6365), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(55) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\067' + chr(0b1101 + 0o52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3299 - 3188) + chr(0b110010) + '\x31' + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(5155 - 5044) + chr(0b11100 + 0o25) + '\x36' + chr(0b110110), 54738 - 54730), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x36' + '\x35', 48328 - 48320), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(1618 - 1507) + chr(746 - 695) + '\x34' + chr(2313 - 2264), 0o10), ehT0Px3KOsy9(chr(1367 - 1319) + chr(0b1011000 + 0o27) + chr(0b1000 + 0o51) + '\x30' + chr(216 - 167), 29991 - 29983), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(49) + chr(52) + chr(0b110001), 33602 - 33594), ehT0Px3KOsy9('\060' + chr(2265 - 2154) + chr(0b110 + 0o53) + chr(0b10001 + 0o45) + '\x34', 0b1000), ehT0Px3KOsy9(chr(61 - 13) + '\157' + chr(234 - 184) + chr(0b110010) + chr(55), 52454 - 52446), ehT0Px3KOsy9(chr(92 - 44) + '\x6f' + chr(0b101110 + 0o4) + '\061' + chr(2429 - 2377), 0o10), ehT0Px3KOsy9('\060' + chr(0b101100 + 0o103) + chr(0b10001 + 0o41) + chr(51) + '\x33', 30794 - 30786), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(0b101 + 0o54) + chr(48) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(2130 - 2082) + chr(0b1101111) + chr(0b110011) + chr(48) + chr(868 - 817), 0o10), ehT0Px3KOsy9(chr(48) + chr(10650 - 10539) + chr(0b0 + 0o63) + chr(0b110011) + '\064', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\065' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'i'), chr(0b1000111 + 0o35) + '\x65' + chr(0b1000001 + 0o42) + chr(0b1101111) + chr(0b1100100) + chr(3855 - 3754))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def S2PJONMUOYiu(Jm7YCQYx8Wnq, uXMK81tmdpTM): JT0MZEkPS1jk = z15VVK5Cl4vo(Jm7YCQYx8Wnq) JT0MZEkPS1jk = JT0MZEkPS1jk.asnumpy() uXMK81tmdpTM = uXMK81tmdpTM.asnumpy() OcnR1hZ7pGdr = [] KpjCWsXltgkw = [] for OolUPRJhRaJd in [ehT0Px3KOsy9(chr(2204 - 2156) + chr(6407 - 6296) + chr(0b101111 + 0o2), ord("\x08")), ehT0Px3KOsy9('\060' + chr(6926 - 6815) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(576 - 527) + '\060', 59002 - 58994), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + '\x32' + chr(0b110000), ord("\x08"))]: xafqLlk3kkUe(OcnR1hZ7pGdr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\xc9\x1fM\xb9\x98'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + chr(11781 - 11665) + chr(0b100000 + 0o106) + chr(0b101101) + chr(3091 - 3035)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\xdc\x0cI\xbb\x90b\\a'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + '\144' + '\145')(chr(5227 - 5110) + '\x74' + chr(0b100010 + 0o104) + chr(0b10010 + 0o33) + chr(0b111000)) % OolUPRJhRaJd) (Tt6DAvwz9s1U, yF9MnUVggTrN) = (0.0, 0.0) for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(Jm7YCQYx8Wnq, xafqLlk3kkUe(SXOLrMavuUCe(b')\xd8\x1aq\xb1\xb0E\x15QNU\xd3'), chr(313 - 213) + chr(4269 - 4168) + chr(99) + chr(10164 - 10053) + chr(0b101010 + 0o72) + '\145')(chr(0b1110101) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b10100 + 0o44)))[ehT0Px3KOsy9(chr(1719 - 1671) + chr(0b111100 + 0o63) + '\x30', 0b1000)]): JT0MZEkPS1jk[WVxHKyX45z_L, WVxHKyX45z_L] = 10000000000.0 _ihHxybXPse6 = bP01aVfjahS6(JT0MZEkPS1jk[WVxHKyX45z_L], OolUPRJhRaJd)[:OolUPRJhRaJd] if UVSi4XW7eBIM((uXMK81tmdpTM[WVxHKyX45z_L] == uXMK81tmdpTM[YGzaUG18aF1F] for YGzaUG18aF1F in _ihHxybXPse6)): Tt6DAvwz9s1U += ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(0b110001), 8) yF9MnUVggTrN += ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), 8) xafqLlk3kkUe(KpjCWsXltgkw, xafqLlk3kkUe(SXOLrMavuUCe(b'&\xc9\x1fM\xb9\x98'), chr(8339 - 8239) + '\x65' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b1000011 + 0o42))('\x75' + chr(116) + chr(102) + '\x2d' + chr(56)))(Tt6DAvwz9s1U / yF9MnUVggTrN) return (OcnR1hZ7pGdr, KpjCWsXltgkw)
apache/incubator-mxnet
example/gluon/embedding_learning/train.py
get_lr
def get_lr(lr, epoch, steps, factor): """Get learning rate based on schedule.""" for s in steps: if epoch >= s: lr *= factor return lr
python
def get_lr(lr, epoch, steps, factor): """Get learning rate based on schedule.""" for s in steps: if epoch >= s: lr *= factor return lr
[ "def", "get_lr", "(", "lr", ",", "epoch", ",", "steps", ",", "factor", ")", ":", "for", "s", "in", "steps", ":", "if", "epoch", ">=", "s", ":", "lr", "*=", "factor", "return", "lr" ]
Get learning rate based on schedule.
[ "Get", "learning", "rate", "based", "on", "schedule", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/embedding_learning/train.py#L161-L166
train
Get learning rate based on schedule.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(804 - 753) + chr(1241 - 1192), 60824 - 60816), ehT0Px3KOsy9(chr(1862 - 1814) + '\157' + '\063' + chr(0b11100 + 0o32) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(2542 - 2491) + '\x37' + chr(2000 - 1947), ord("\x08")), ehT0Px3KOsy9(chr(1296 - 1248) + chr(0b1101011 + 0o4) + chr(1881 - 1830) + '\066' + chr(958 - 909), 26350 - 26342), ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + '\063' + chr(51) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110001) + chr(0b110100 + 0o1), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100101 + 0o15) + chr(48) + chr(2198 - 2143), 52918 - 52910), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(0b100 + 0o63) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(8844 - 8733) + chr(49) + chr(1502 - 1449) + chr(1234 - 1186), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(0b110010) + chr(2208 - 2155) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(395 - 341) + chr(0b11001 + 0o30), 0o10), ehT0Px3KOsy9(chr(1304 - 1256) + chr(111) + '\x31' + chr(0b110101) + chr(0b100111 + 0o16), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(53), 28429 - 28421), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2188 - 2139) + chr(54) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100000 + 0o23) + '\x36' + '\063', 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(1380 - 1269) + '\062' + chr(52), 27909 - 27901), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(55) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10355 - 10244) + '\x32' + '\x33' + '\061', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\062' + chr(0b11011 + 0o30), 0b1000), ehT0Px3KOsy9(chr(491 - 443) + chr(5257 - 5146) + chr(49) + chr(0b1100 + 0o44) + chr(52), 5070 - 5062), ehT0Px3KOsy9(chr(1790 - 1742) + '\157' + chr(0b101111 + 0o4) + '\065' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b110001) + '\066' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1120 - 1072) + chr(0b111000 + 0o67) + '\x33' + chr(0b10 + 0o64) + chr(2284 - 2232), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(0b110011) + chr(848 - 796) + '\x33', 1921 - 1913), ehT0Px3KOsy9(chr(48) + chr(0b1101 + 0o142) + chr(0b100110 + 0o15) + chr(1851 - 1803) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1782 - 1734) + chr(5719 - 5608) + chr(1964 - 1915) + '\x34' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b110110) + '\x30', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b110100) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(2233 - 2185) + chr(111) + '\x31' + '\x36' + chr(0b1001 + 0o52), 0b1000), ehT0Px3KOsy9('\x30' + chr(7789 - 7678) + chr(2103 - 2054) + '\067' + '\x33', 63529 - 63521), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(0b110 + 0o54) + chr(0b111 + 0o57) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(49) + chr(0b110001) + chr(1274 - 1219), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(0b110111) + '\x37', 8), ehT0Px3KOsy9('\x30' + chr(11737 - 11626) + chr(50) + chr(2397 - 2343) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1000110 + 0o51) + '\063' + '\061' + chr(741 - 687), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\x31' + chr(2044 - 1996), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10011 + 0o134) + chr(0b11010 + 0o30) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1 + 0o62) + chr(0b10 + 0o61) + chr(0b11001 + 0o35), 55416 - 55408), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\x35' + chr(0b100111 + 0o11), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(399 - 349) + chr(0b110101), 25455 - 25447)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + '\065' + chr(0b10110 + 0o32), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7'), chr(5438 - 5338) + chr(0b1100101) + '\x63' + chr(111) + chr(100) + chr(101))('\165' + '\x74' + '\x66' + chr(0b1001 + 0o44) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def az6EKuezix9K(Zzs55KO_HKfp, LWTVW06OsTjl, v0VhEmlMsO_l, Tx5AD3XZqDPl): for vGrByMSYMp9h in v0VhEmlMsO_l: if LWTVW06OsTjl >= vGrByMSYMp9h: Zzs55KO_HKfp *= Tx5AD3XZqDPl return Zzs55KO_HKfp
apache/incubator-mxnet
example/gluon/embedding_learning/train.py
train
def train(epochs, ctx): """Training function.""" if isinstance(ctx, mx.Context): ctx = [ctx] net.initialize(mx.init.Xavier(magnitude=2), ctx=ctx) opt_options = {'learning_rate': opt.lr, 'wd': opt.wd} if opt.optimizer == 'sgd': opt_options['momentum'] = 0.9 if opt.optimizer == 'adam': opt_options['epsilon'] = 1e-7 trainer = gluon.Trainer(net.collect_params(), opt.optimizer, opt_options, kvstore=opt.kvstore) if opt.lr_beta > 0.0: # Jointly train class-specific beta. # See "sampling matters in deep embedding learning" paper for details. beta.initialize(mx.init.Constant(opt.beta), ctx=ctx) trainer_beta = gluon.Trainer([beta], 'sgd', {'learning_rate': opt.lr_beta, 'momentum': 0.9}, kvstore=opt.kvstore) loss = MarginLoss(margin=opt.margin, nu=opt.nu) best_val = 0.0 for epoch in range(epochs): tic = time.time() prev_loss, cumulative_loss = 0.0, 0.0 # Learning rate schedule. trainer.set_learning_rate(get_lr(opt.lr, epoch, steps, opt.factor)) logging.info('Epoch %d learning rate=%f', epoch, trainer.learning_rate) if opt.lr_beta > 0.0: trainer_beta.set_learning_rate(get_lr(opt.lr_beta, epoch, steps, opt.factor)) logging.info('Epoch %d beta learning rate=%f', epoch, trainer_beta.learning_rate) # Inner training loop. for i in range(200): batch = train_data.next() data = gluon.utils.split_and_load(batch.data[0], ctx_list=ctx, batch_axis=0) label = gluon.utils.split_and_load(batch.label[0], ctx_list=ctx, batch_axis=0) Ls = [] with ag.record(): for x, y in zip(data, label): a_indices, anchors, positives, negatives, _ = net(x) if opt.lr_beta > 0.0: L = loss(anchors, positives, negatives, beta, y[a_indices]) else: L = loss(anchors, positives, negatives, opt.beta, None) # Store the loss and do backward after we have done forward # on all GPUs for better speed on multiple GPUs. Ls.append(L) cumulative_loss += nd.mean(L).asscalar() for L in Ls: L.backward() # Update. trainer.step(batch.data[0].shape[0]) if opt.lr_beta > 0.0: trainer_beta.step(batch.data[0].shape[0]) if (i+1) % opt.log_interval == 0: logging.info('[Epoch %d, Iter %d] training loss=%f' % ( epoch, i+1, cumulative_loss - prev_loss)) prev_loss = cumulative_loss logging.info('[Epoch %d] training loss=%f'%(epoch, cumulative_loss)) logging.info('[Epoch %d] time cost: %f'%(epoch, time.time()-tic)) names, val_accs = test(ctx) for name, val_acc in zip(names, val_accs): logging.info('[Epoch %d] validation: %s=%f'%(epoch, name, val_acc)) if val_accs[0] > best_val: best_val = val_accs[0] logging.info('Saving %s.' % opt.save_model_prefix) net.save_parameters('%s.params' % opt.save_model_prefix) return best_val
python
def train(epochs, ctx): """Training function.""" if isinstance(ctx, mx.Context): ctx = [ctx] net.initialize(mx.init.Xavier(magnitude=2), ctx=ctx) opt_options = {'learning_rate': opt.lr, 'wd': opt.wd} if opt.optimizer == 'sgd': opt_options['momentum'] = 0.9 if opt.optimizer == 'adam': opt_options['epsilon'] = 1e-7 trainer = gluon.Trainer(net.collect_params(), opt.optimizer, opt_options, kvstore=opt.kvstore) if opt.lr_beta > 0.0: # Jointly train class-specific beta. # See "sampling matters in deep embedding learning" paper for details. beta.initialize(mx.init.Constant(opt.beta), ctx=ctx) trainer_beta = gluon.Trainer([beta], 'sgd', {'learning_rate': opt.lr_beta, 'momentum': 0.9}, kvstore=opt.kvstore) loss = MarginLoss(margin=opt.margin, nu=opt.nu) best_val = 0.0 for epoch in range(epochs): tic = time.time() prev_loss, cumulative_loss = 0.0, 0.0 # Learning rate schedule. trainer.set_learning_rate(get_lr(opt.lr, epoch, steps, opt.factor)) logging.info('Epoch %d learning rate=%f', epoch, trainer.learning_rate) if opt.lr_beta > 0.0: trainer_beta.set_learning_rate(get_lr(opt.lr_beta, epoch, steps, opt.factor)) logging.info('Epoch %d beta learning rate=%f', epoch, trainer_beta.learning_rate) # Inner training loop. for i in range(200): batch = train_data.next() data = gluon.utils.split_and_load(batch.data[0], ctx_list=ctx, batch_axis=0) label = gluon.utils.split_and_load(batch.label[0], ctx_list=ctx, batch_axis=0) Ls = [] with ag.record(): for x, y in zip(data, label): a_indices, anchors, positives, negatives, _ = net(x) if opt.lr_beta > 0.0: L = loss(anchors, positives, negatives, beta, y[a_indices]) else: L = loss(anchors, positives, negatives, opt.beta, None) # Store the loss and do backward after we have done forward # on all GPUs for better speed on multiple GPUs. Ls.append(L) cumulative_loss += nd.mean(L).asscalar() for L in Ls: L.backward() # Update. trainer.step(batch.data[0].shape[0]) if opt.lr_beta > 0.0: trainer_beta.step(batch.data[0].shape[0]) if (i+1) % opt.log_interval == 0: logging.info('[Epoch %d, Iter %d] training loss=%f' % ( epoch, i+1, cumulative_loss - prev_loss)) prev_loss = cumulative_loss logging.info('[Epoch %d] training loss=%f'%(epoch, cumulative_loss)) logging.info('[Epoch %d] time cost: %f'%(epoch, time.time()-tic)) names, val_accs = test(ctx) for name, val_acc in zip(names, val_accs): logging.info('[Epoch %d] validation: %s=%f'%(epoch, name, val_acc)) if val_accs[0] > best_val: best_val = val_accs[0] logging.info('Saving %s.' % opt.save_model_prefix) net.save_parameters('%s.params' % opt.save_model_prefix) return best_val
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Training function.
[ "Training", "function", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/embedding_learning/train.py#L169-L250
train
Train the deep embedding model.
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7751) + '\x31' + chr(0b110010) + chr(0b100011 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b110101) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(10952 - 10841) + '\062' + '\060' + chr(0b10 + 0o65), 48750 - 48742), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b110101 + 0o72) + chr(49) + chr(54) + chr(882 - 832), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(526 - 474) + '\066', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b110110) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(411 - 362) + chr(0b110011 + 0o0), 25960 - 25952), ehT0Px3KOsy9(chr(48) + chr(8967 - 8856) + chr(0b1110 + 0o43) + '\x34' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(1590 - 1479) + chr(0b1110 + 0o43) + '\x32' + chr(820 - 770), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(55) + chr(2101 - 2048), 63092 - 63084), ehT0Px3KOsy9(chr(183 - 135) + '\x6f' + '\061' + '\064' + chr(137 - 85), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(5649 - 5538) + '\x33' + '\060' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\x37' + '\x35', 41321 - 41313), ehT0Px3KOsy9('\x30' + '\x6f' + chr(372 - 322) + chr(58 - 10) + chr(0b100 + 0o61), 14638 - 14630), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(826 - 775) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(0b110011) + chr(486 - 431) + chr(2601 - 2547), 0o10), ehT0Px3KOsy9(chr(367 - 319) + chr(111) + chr(53) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1810 - 1762) + chr(0b1101111) + chr(0b101010 + 0o7) + chr(54) + chr(685 - 635), 8), ehT0Px3KOsy9(chr(1587 - 1539) + chr(6084 - 5973) + '\063' + chr(1003 - 951) + chr(0b110011), 42537 - 42529), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(51) + chr(0b110100), 52154 - 52146), ehT0Px3KOsy9(chr(318 - 270) + chr(0b1101111) + chr(51) + '\066' + chr(1008 - 954), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\064' + chr(0b10000 + 0o45), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b110000) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(681 - 633) + chr(111) + '\065' + chr(891 - 839), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(50) + chr(891 - 839) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(494 - 445) + '\x32' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + '\x33' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + chr(49) + chr(531 - 483) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1435 - 1387) + chr(111) + chr(0b11 + 0o63) + '\065', 0o10), ehT0Px3KOsy9(chr(1727 - 1679) + chr(0b100101 + 0o112) + chr(175 - 126) + '\x33', 59540 - 59532), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1001101 + 0o42) + '\x32' + '\060' + chr(53), 8), ehT0Px3KOsy9(chr(1332 - 1284) + '\x6f' + chr(0b101110 + 0o5) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b110110) + '\x33', 0o10), ehT0Px3KOsy9(chr(1891 - 1843) + chr(111) + '\x31' + chr(0b110101) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2258 - 2208) + chr(0b110111) + '\065', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b110001) + chr(1084 - 1033), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b110001) + chr(0b10111 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7294 - 7183) + '\x32' + chr(53) + chr(0b11101 + 0o27), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(49) + chr(0b110111) + chr(0b100000 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + '\x33' + chr(1065 - 1011), 64507 - 64499)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b1000 + 0o55) + chr(48), 36392 - 36384)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'x'), '\x64' + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + chr(101))('\x75' + chr(4177 - 4061) + '\146' + '\x2d' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def e80gRioCjdat(xvDB7qObFSrr, oM3jLo753XfX): if PlSM16l2KDPD(oM3jLo753XfX, xafqLlk3kkUe(CIVheOt0RKQX, xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\x86\xe9\x06C\xcd?'), chr(0b1 + 0o143) + '\145' + chr(0b11100 + 0o107) + '\157' + chr(407 - 307) + '\x65')(chr(117) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b10111 + 0o41)))): oM3jLo753XfX = [oM3jLo753XfX] xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b"?\x87\xee\x06O\xd4'\x0e(\xd8"), chr(0b1100100) + chr(0b1100101) + chr(6437 - 6338) + '\157' + chr(100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b11100 + 0o112) + chr(0b100011 + 0o12) + chr(0b111000)))(xafqLlk3kkUe(CIVheOt0RKQX.init, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\x88\xf1\x1bC\xc7'), chr(0b1010100 + 0o20) + chr(0b1010100 + 0o21) + chr(0b1010 + 0o131) + chr(111) + chr(0b1100100) + chr(840 - 739))(chr(0b1001000 + 0o55) + chr(0b1110100) + chr(9338 - 9236) + '\x2d' + chr(2866 - 2810)))(magnitude=ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(50), 14283 - 14275)), ctx=oM3jLo753XfX) x2D1ynpPN8QH = {xafqLlk3kkUe(SXOLrMavuUCe(b':\x8c\xe6\x00H\xdc%\x00\r\xcf\x05\xb6\x98'), chr(7995 - 7895) + '\145' + chr(99) + chr(1795 - 1684) + '\x64' + '\x65')(chr(0b11 + 0o162) + chr(9027 - 8911) + '\146' + chr(0b110 + 0o47) + chr(0b111000)): PFDxXM_vbSsA.Zzs55KO_HKfp, xafqLlk3kkUe(SXOLrMavuUCe(b'!\x8d'), chr(100) + '\x65' + chr(9196 - 9097) + '\x6f' + '\x64' + '\x65')(chr(0b1110101) + '\x74' + '\x66' + '\x2d' + chr(56)): PFDxXM_vbSsA.LTzJV4d64B_7} if xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\x8d\xcc<E\xec\x19(0\xed/\xf1'), '\144' + chr(101) + chr(0b110001 + 0o62) + '\157' + chr(0b11110 + 0o106) + chr(8309 - 8208))(chr(117) + '\164' + '\x66' + '\055' + chr(0b100111 + 0o21))) == xafqLlk3kkUe(SXOLrMavuUCe(b'%\x8e\xe3'), '\x64' + chr(0b101011 + 0o72) + chr(99) + chr(0b111100 + 0o63) + '\x64' + '\x65')(chr(0b1110000 + 0o5) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b1011 + 0o55)): x2D1ynpPN8QH[xafqLlk3kkUe(SXOLrMavuUCe(b';\x86\xea\x17H\xc1>\n'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(10850 - 10739) + chr(0b111000 + 0o54) + '\145')('\x75' + chr(0b1000 + 0o154) + '\x66' + '\x2d' + '\x38')] = 0.9 if xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\x8d\xcc<E\xec\x19(0\xed/\xf1'), chr(0b1001 + 0o133) + chr(0b1100101) + chr(2220 - 2121) + '\157' + chr(0b1000111 + 0o35) + chr(0b1100101))('\x75' + chr(116) + chr(0b1100001 + 0o5) + chr(0b100110 + 0o7) + chr(2428 - 2372))) == xafqLlk3kkUe(SXOLrMavuUCe(b'7\x8d\xe6\x1f'), chr(100) + chr(101) + chr(99) + '\157' + chr(0b1100100) + '\145')('\165' + chr(0b1110100) + chr(6793 - 6691) + chr(0b101010 + 0o3) + chr(0b1110 + 0o52)): x2D1ynpPN8QH[xafqLlk3kkUe(SXOLrMavuUCe(b'3\x99\xf4\x1bJ\xda%'), '\x64' + chr(5596 - 5495) + '\x63' + chr(0b1100000 + 0o17) + chr(5687 - 5587) + chr(0b1100101))(chr(1810 - 1693) + chr(0b1101011 + 0o11) + chr(0b1010100 + 0o22) + chr(0b101101) + '\x38')] = 1e-07 ehTF8dweL_Oo = Bm3NCCYMMXjd.Trainer(DyzboKL9cczb.collect_params(), PFDxXM_vbSsA.XdKNcYRObPK3, x2D1ynpPN8QH, kvstore=PFDxXM_vbSsA.kvstore) if xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b':\x9b\xd8\x10C\xc1*'), '\x64' + chr(101) + '\143' + chr(0b1111 + 0o140) + '\x64' + '\x65')(chr(117) + '\164' + chr(6653 - 6551) + chr(1148 - 1103) + chr(0b111000))) > 0.0: xafqLlk3kkUe(FjcovgoHM1LG, xafqLlk3kkUe(SXOLrMavuUCe(b"?\x87\xee\x06O\xd4'\x0e(\xd8"), '\x64' + chr(0b11001 + 0o114) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))('\x75' + '\x74' + chr(0b1100110) + chr(0b101 + 0o50) + '\x38'))(xafqLlk3kkUe(CIVheOt0RKQX.init, xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\x86\xe9\x01R\xd4%\x13'), '\144' + '\x65' + chr(99) + '\x6f' + chr(100) + chr(0b1001 + 0o134))(chr(7544 - 7427) + chr(0b100011 + 0o121) + chr(102) + '\055' + chr(0b111000)))(xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\x83\xe4\x1dP\xd2$/\x1f\x8c(\x85'), chr(2225 - 2125) + chr(101) + chr(99) + chr(111) + chr(0b1100100 + 0o0) + chr(0b1010000 + 0o25))(chr(0b100 + 0o161) + '\164' + chr(0b101100 + 0o72) + '\055' + chr(0b11001 + 0o37)))), ctx=oM3jLo753XfX) aBo1BIex48fs = Bm3NCCYMMXjd.Trainer([FjcovgoHM1LG], xafqLlk3kkUe(SXOLrMavuUCe(b'%\x8e\xe3'), chr(9762 - 9662) + '\x65' + '\x63' + '\157' + '\x64' + chr(0b111011 + 0o52))('\x75' + chr(116) + '\x66' + '\055' + '\x38'), {xafqLlk3kkUe(SXOLrMavuUCe(b':\x8c\xe6\x00H\xdc%\x00\r\xcf\x05\xb6\x98'), '\144' + chr(0b1100101) + '\143' + '\x6f' + '\x64' + chr(3471 - 3370))(chr(0b1100101 + 0o20) + chr(0b1110100) + '\x66' + '\x2d' + chr(56)): PFDxXM_vbSsA.lr_beta, xafqLlk3kkUe(SXOLrMavuUCe(b';\x86\xea\x17H\xc1>\n'), chr(100) + chr(470 - 369) + '\143' + '\157' + '\x64' + chr(0b1100101))('\165' + '\x74' + '\146' + chr(1600 - 1555) + chr(880 - 824)): 0.9}, kvstore=PFDxXM_vbSsA.kvstore) YpO0BcZ6fMsf = zS0bWW2YG6Qu(margin=PFDxXM_vbSsA.margin, nu=PFDxXM_vbSsA.nu) xNcIz8_w0kuy = 0.0 for LWTVW06OsTjl in vQr8gNKaIaWE(xvDB7qObFSrr): yTo1Kl5FmnsP = ltvhPP4VhXre.time() (JF4eZq0BM0OV, Z9JeZZILnhQR) = (0.0, 0.0) xafqLlk3kkUe(ehTF8dweL_Oo, xafqLlk3kkUe(SXOLrMavuUCe(b'%\x8c\xf3-J\xd0*\x15<\xd4\n\xa5\xa2\xf7}\x8aL'), chr(176 - 76) + chr(0b111010 + 0o53) + '\143' + '\157' + chr(100) + chr(101))(chr(0b1110101 + 0o0) + chr(116) + '\x66' + '\x2d' + '\x38'))(az6EKuezix9K(xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\x93\xf4G\x13\xfe\x048\x1a\xf6\x02\xb2'), '\x64' + chr(5534 - 5433) + '\x63' + '\157' + chr(923 - 823) + '\x65')('\x75' + '\164' + chr(0b101001 + 0o75) + chr(716 - 671) + '\x38')), LWTVW06OsTjl, v0VhEmlMsO_l, xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\x91\xb23b\x86\x13=#\xf94\xae'), chr(0b100000 + 0o104) + chr(5661 - 5560) + chr(0b1000000 + 0o43) + '\157' + '\144' + chr(8485 - 8384))('\x75' + chr(2264 - 2148) + chr(0b1100110) + chr(45) + '\070')))) xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xde\xcf\nS\xd6,P8\xd1>\xa9'), chr(100) + chr(9629 - 9528) + '\143' + chr(11404 - 11293) + '\144' + chr(101))('\x75' + '\x74' + chr(0b1100110) + '\055' + chr(1574 - 1518)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\x99\xe8\x11N\x95n\x03r\xd1\x01\xa3\x8f\xebu\x90NR\x91\xbd\x82\xc0\xbc\t\xc7'), chr(100) + '\x65' + chr(99) + chr(0b1101111) + '\x64' + chr(1502 - 1401))(chr(0b1110101) + chr(7101 - 6985) + chr(5532 - 5430) + '\x2d' + '\070'), LWTVW06OsTjl, xafqLlk3kkUe(ehTF8dweL_Oo, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xae\xd4;V\xd1\x14\x1e\x07\xf3\x1e\x97'), '\x64' + '\x65' + chr(0b111110 + 0o45) + '\157' + '\x64' + chr(0b110101 + 0o60))(chr(7320 - 7203) + '\x74' + chr(0b1100110) + '\055' + '\070'))) if xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b':\x9b\xd8\x10C\xc1*'), '\144' + chr(0b101110 + 0o67) + '\x63' + chr(111) + '\x64' + chr(0b1100101))(chr(12090 - 11973) + chr(116) + chr(0b1100110) + chr(0b111 + 0o46) + chr(0b10 + 0o66))) > 0.0: xafqLlk3kkUe(aBo1BIex48fs, xafqLlk3kkUe(SXOLrMavuUCe(b'%\x8c\xf3-J\xd0*\x15<\xd4\n\xa5\xa2\xf7}\x8aL'), '\x64' + chr(0b1100101) + '\143' + chr(111) + '\x64' + chr(101))(chr(117) + chr(2283 - 2167) + chr(102) + '\055' + chr(896 - 840)))(az6EKuezix9K(xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b':\x9b\xd8\x10C\xc1*'), chr(2338 - 2238) + chr(0b1 + 0o144) + chr(99) + '\x6f' + '\x64' + '\x65')('\x75' + '\164' + '\x66' + '\x2d' + '\070')), LWTVW06OsTjl, v0VhEmlMsO_l, xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\x91\xb23b\x86\x13=#\xf94\xae'), chr(7465 - 7365) + chr(101) + chr(99) + chr(6657 - 6546) + '\x64' + chr(4105 - 4004))(chr(0b11010 + 0o133) + chr(116) + chr(0b1100110) + chr(657 - 612) + '\070')))) xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xde\xcf\nS\xd6,P8\xd1>\xa9'), chr(0b1011111 + 0o5) + '\145' + chr(0b1100011) + chr(111) + chr(100) + '\x65')(chr(0b110010 + 0o103) + chr(10831 - 10715) + '\x66' + chr(1415 - 1370) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b"\x13\x99\xe8\x11N\x95n\x03r\xdf\x01\xb6\x9c\xa5p\x9bH\x00\x8d\xb5\x98\xc2\xa1^\xc0'zy\x10m"), chr(0b1100100) + chr(101) + '\x63' + chr(0b1100100 + 0o13) + chr(0b1011 + 0o131) + '\x65')('\x75' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b111000)), LWTVW06OsTjl, xafqLlk3kkUe(aBo1BIex48fs, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xae\xd4;V\xd1\x14\x1e\x07\xf3\x1e\x97'), chr(100) + '\145' + chr(0b1100011) + chr(0b1001000 + 0o47) + chr(0b10010 + 0o122) + chr(101))('\165' + '\164' + '\x66' + chr(0b11011 + 0o22) + chr(0b111000)))) for WVxHKyX45z_L in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(51) + '\061' + '\060', 31286 - 31278)): dNwAahu8tvoY = sW8AagBcZuuj.nSwwHEeM4cxI() ULnjp6D6efFH = Bm3NCCYMMXjd.utils.split_and_load(dNwAahu8tvoY.ULnjp6D6efFH[ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000), 18670 - 18662)], ctx_list=oM3jLo753XfX, batch_axis=ehT0Px3KOsy9('\060' + chr(4305 - 4194) + chr(0b100100 + 0o14), 8)) TRUOLFLuD08x = Bm3NCCYMMXjd.utils.split_and_load(dNwAahu8tvoY.TRUOLFLuD08x[ehT0Px3KOsy9('\x30' + chr(8799 - 8688) + chr(0b101001 + 0o7), 8)], ctx_list=oM3jLo753XfX, batch_axis=ehT0Px3KOsy9(chr(0b110000) + chr(0b10011 + 0o134) + chr(450 - 402), 8)) prCjLILcxwTD = [] with xafqLlk3kkUe(jQFZMNqCIvWT, xafqLlk3kkUe(SXOLrMavuUCe(b'$\x8c\xe4\x1dT\xd1'), chr(0b1100100) + chr(3386 - 3285) + '\x63' + '\x6f' + chr(100) + chr(101))(chr(0b10111 + 0o136) + chr(0b11 + 0o161) + chr(0b1011100 + 0o12) + chr(45) + chr(0b0 + 0o70)))(): for (OeWW0F1dBPRQ, SqiSOtYOqOJH) in pZ0NK2y6HRbn(ULnjp6D6efFH, TRUOLFLuD08x): (AVi3hqqJcEjM, nPalL2B6rIZV, _9bj47WSdo88, mcSHG7pbJ_nM, VNGQdHSFPrso) = DyzboKL9cczb(OeWW0F1dBPRQ) if xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b':\x9b\xd8\x10C\xc1*'), chr(5708 - 5608) + chr(1278 - 1177) + chr(0b101100 + 0o67) + '\x6f' + chr(0b110010 + 0o62) + chr(0b1100101))('\165' + chr(4494 - 4378) + chr(3625 - 3523) + '\055' + '\070')) > 0.0: N2hHLFodXT_J = YpO0BcZ6fMsf(nPalL2B6rIZV, _9bj47WSdo88, mcSHG7pbJ_nM, FjcovgoHM1LG, SqiSOtYOqOJH[AVi3hqqJcEjM]) else: N2hHLFodXT_J = YpO0BcZ6fMsf(nPalL2B6rIZV, _9bj47WSdo88, mcSHG7pbJ_nM, PFDxXM_vbSsA.FjcovgoHM1LG, None) xafqLlk3kkUe(prCjLILcxwTD, xafqLlk3kkUe(SXOLrMavuUCe(b'7\x99\xf7\x17H\xd1'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1010111 + 0o30) + chr(100) + chr(1887 - 1786))(chr(117) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(676 - 620)))(N2hHLFodXT_J) Z9JeZZILnhQR += Vy_CFRcuYrTj.mean(N2hHLFodXT_J).asscalar() for N2hHLFodXT_J in prCjLILcxwTD: xafqLlk3kkUe(N2hHLFodXT_J, xafqLlk3kkUe(SXOLrMavuUCe(b'4\x88\xe4\x19Q\xd49\x03'), chr(100) + '\x65' + chr(5777 - 5678) + chr(10122 - 10011) + chr(100) + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b111011 + 0o53) + '\x2d' + chr(1700 - 1644)))() xafqLlk3kkUe(ehTF8dweL_Oo, xafqLlk3kkUe(SXOLrMavuUCe(b'=\xad\xf24U\xf4#"3\xc9\x07\x97'), chr(2845 - 2745) + chr(5238 - 5137) + chr(99) + '\x6f' + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + '\055' + chr(56)))(xafqLlk3kkUe(dNwAahu8tvoY.data[ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(0b11 + 0o55), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'8\x88\xf2+@\xf9,\x0b\x06\xcd\x07\xa0'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(7676 - 7576) + chr(6811 - 6710))(chr(3687 - 3570) + '\164' + '\x66' + chr(45) + chr(0b1011 + 0o55)))[ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 8)]) if xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b':\x9b\xd8\x10C\xc1*'), chr(0b1000100 + 0o40) + '\145' + '\x63' + chr(0b1101111) + chr(0b1001011 + 0o31) + '\145')(chr(117) + chr(0b1110100) + chr(0b111010 + 0o54) + chr(45) + chr(56))) > 0.0: xafqLlk3kkUe(aBo1BIex48fs, xafqLlk3kkUe(SXOLrMavuUCe(b'=\xad\xf24U\xf4#"3\xc9\x07\x97'), '\144' + chr(0b1100101) + '\143' + chr(111) + chr(0b111100 + 0o50) + chr(101))(chr(8476 - 8359) + chr(7089 - 6973) + chr(0b1010 + 0o134) + '\x2d' + '\x38'))(xafqLlk3kkUe(dNwAahu8tvoY.data[ehT0Px3KOsy9(chr(707 - 659) + chr(7595 - 7484) + chr(0b110000), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'8\x88\xf2+@\xf9,\x0b\x06\xcd\x07\xa0'), chr(8414 - 8314) + '\x65' + chr(99) + '\x6f' + chr(0b1100100) + chr(5596 - 5495))(chr(0b1110101) + chr(0b1001010 + 0o52) + chr(2778 - 2676) + '\x2d' + chr(56)))[ehT0Px3KOsy9('\060' + chr(6579 - 6468) + '\x30', 8)]) if (WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + chr(0b1101 + 0o44), 57900 - 57892)) % xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b':\x86\xe0-O\xdb?\x02 \xcb\x05\xae'), chr(0b10010 + 0o122) + '\145' + chr(99) + chr(0b111101 + 0o62) + chr(0b1000111 + 0o35) + chr(9494 - 9393))(chr(5333 - 5216) + '\164' + chr(0b100111 + 0o77) + chr(884 - 839) + '\x38')) == ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(5116 - 5005) + '\x30', 8): xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xde\xcf\nS\xd6,P8\xd1>\xa9'), chr(100) + chr(101) + chr(0b1010101 + 0o16) + chr(0b1000111 + 0o50) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1010 + 0o134) + chr(0b101101) + chr(0b100110 + 0o22)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xac\xf7\x1dE\xddkB6\x91D\x8b\x89\xe0n\xde\x0c\x16\xbe\xfc\x82\xd7\xe0E\xcf:q#\x15g\xeaj\xc0S\x98\xed'), '\x64' + chr(0b1100101) + '\x63' + chr(9711 - 9600) + '\x64' + '\x65')(chr(0b1010010 + 0o43) + chr(0b1101100 + 0o10) + chr(0b1100001 + 0o5) + '\055' + chr(56)) % (LWTVW06OsTjl, WVxHKyX45z_L + ehT0Px3KOsy9('\x30' + chr(111) + chr(49), 8), Z9JeZZILnhQR - JF4eZq0BM0OV)) JF4eZq0BM0OV = Z9JeZZILnhQR xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xde\xcf\nS\xd6,P8\xd1>\xa9'), '\x64' + chr(6148 - 6047) + chr(0b1100011) + '\x6f' + '\x64' + chr(0b1100101))('\x75' + chr(116) + '\x66' + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xac\xf7\x1dE\xddkB6\xe0D\xb6\x8f\xe4u\x90@\x1c\x84\xfc\x9a\xca\xf2_\x9cvy'), '\144' + '\x65' + '\143' + chr(0b10 + 0o155) + chr(0b1100100) + chr(0b1100101))('\165' + '\x74' + chr(9980 - 9878) + '\055' + chr(0b1 + 0o67)) % (LWTVW06OsTjl, Z9JeZZILnhQR)) xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xde\xcf\nS\xd6,P8\xd1>\xa9'), chr(0b1000 + 0o134) + chr(0b101111 + 0o66) + '\143' + chr(0b1100000 + 0o17) + '\144' + chr(101))('\x75' + '\164' + '\x66' + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xac\xf7\x1dE\xddkB6\xe0D\xb6\x94\xe8y\xdeJ\x1d\x90\xa8\xcc\x85\xa4J'), chr(7868 - 7768) + chr(0b1001100 + 0o31) + '\143' + chr(2760 - 2649) + '\144' + chr(4712 - 4611))('\165' + chr(0b1110100) + chr(0b101111 + 0o67) + chr(0b101101) + chr(1277 - 1221)) % (LWTVW06OsTjl, xafqLlk3kkUe(ltvhPP4VhXre, xafqLlk3kkUe(SXOLrMavuUCe(b'"\x80\xea\x17'), chr(100) + chr(101) + chr(922 - 823) + '\x6f' + chr(0b1000000 + 0o44) + chr(101))(chr(10157 - 10040) + chr(9986 - 9870) + chr(102) + '\x2d' + '\070'))() - yTo1Kl5FmnsP)) (OcnR1hZ7pGdr, yQ5csvHPT7D_) = o1nnuQUCchP4(oM3jLo753XfX) for (AIvJRzLdDfgF, eU69eANtFzrt) in pZ0NK2y6HRbn(OcnR1hZ7pGdr, yQ5csvHPT7D_): xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xde\xcf\nS\xd6,P8\xd1>\xa9'), '\144' + chr(5950 - 5849) + '\143' + chr(11089 - 10978) + chr(0b1100100) + '\145')('\165' + chr(0b1110100) + chr(0b111011 + 0o53) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xac\xf7\x1dE\xddkB6\xe0D\xb4\x9c\xe9u\x9aH\x06\x8a\xb3\x98\x9f\xa1\t\xd2n:"'), chr(0b110101 + 0o57) + '\145' + chr(99) + '\x6f' + chr(8494 - 8394) + '\145')(chr(0b1010110 + 0o37) + '\164' + '\x66' + chr(1909 - 1864) + chr(0b100010 + 0o26)) % (LWTVW06OsTjl, AIvJRzLdDfgF, eU69eANtFzrt)) if yQ5csvHPT7D_[ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(3273 - 3162) + '\060', 8)] > xNcIz8_w0kuy: xNcIz8_w0kuy = yQ5csvHPT7D_[ehT0Px3KOsy9(chr(1748 - 1700) + chr(111) + '\x30', 8)] xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xde\xcf\nS\xd6,P8\xd1>\xa9'), chr(0b1100100) + '\145' + chr(99) + '\157' + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(12340 - 12224) + chr(8449 - 8347) + chr(0b10001 + 0o34) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\x88\xf1\x1bH\xd2kB!\x93'), '\x64' + '\x65' + chr(0b1100011) + chr(111) + chr(100) + chr(0b1010011 + 0o22))('\165' + chr(116) + '\x66' + chr(0b0 + 0o55) + chr(196 - 140)) % xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'%\x88\xf1\x17y\xd8$\x037\xd1;\xb2\x8f\xe0z\x97Q'), chr(0b1100100 + 0o0) + chr(101) + chr(99) + '\157' + chr(0b1101 + 0o127) + '\x65')('\x75' + chr(0b1101101 + 0o7) + '\146' + chr(0b11000 + 0o25) + '\x38'))) xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'%\x88\xf1\x17y\xc5*\x153\xd0\x01\xb6\x98\xf7o'), chr(157 - 57) + chr(0b1100101) + chr(0b1100011) + chr(0b110010 + 0o75) + '\144' + chr(101))(chr(6661 - 6544) + chr(0b1101000 + 0o14) + chr(102) + chr(77 - 32) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b's\x9a\xa9\x02G\xc7*\n!'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(100) + chr(101))('\165' + '\x74' + chr(102) + '\055' + chr(0b111000)) % xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'%\x88\xf1\x17y\xd8$\x037\xd1;\xb2\x8f\xe0z\x97Q'), chr(100) + chr(0b1100101) + chr(0b1001110 + 0o25) + chr(11969 - 11858) + chr(0b11001 + 0o113) + '\x65')('\165' + '\164' + chr(9739 - 9637) + '\055' + '\x38'))) return xNcIz8_w0kuy
apache/incubator-mxnet
example/ctc/lstm.py
_lstm_unroll_base
def _lstm_unroll_base(num_lstm_layer, seq_len, num_hidden): """ Returns symbol for LSTM model up to loss/softmax""" param_cells = [] last_states = [] for i in range(num_lstm_layer): param_cells.append(LSTMParam(i2h_weight=mx.sym.Variable("l%d_i2h_weight" % i), i2h_bias=mx.sym.Variable("l%d_i2h_bias" % i), h2h_weight=mx.sym.Variable("l%d_h2h_weight" % i), h2h_bias=mx.sym.Variable("l%d_h2h_bias" % i))) state = LSTMState(c=mx.sym.Variable("l%d_init_c" % i), h=mx.sym.Variable("l%d_init_h" % i)) last_states.append(state) assert len(last_states) == num_lstm_layer # embedding layer data = mx.sym.Variable('data') wordvec = mx.sym.SliceChannel(data=data, num_outputs=seq_len, squeeze_axis=1) hidden_all = [] for seqidx in range(seq_len): hidden = wordvec[seqidx] for i in range(num_lstm_layer): next_state = _lstm( num_hidden=num_hidden, indata=hidden, prev_state=last_states[i], param=param_cells[i], seqidx=seqidx, layeridx=i) hidden = next_state.h last_states[i] = next_state hidden_all.append(hidden) hidden_concat = mx.sym.Concat(*hidden_all, dim=0) pred_fc = mx.sym.FullyConnected(data=hidden_concat, num_hidden=11, name="pred_fc") return pred_fc
python
def _lstm_unroll_base(num_lstm_layer, seq_len, num_hidden): """ Returns symbol for LSTM model up to loss/softmax""" param_cells = [] last_states = [] for i in range(num_lstm_layer): param_cells.append(LSTMParam(i2h_weight=mx.sym.Variable("l%d_i2h_weight" % i), i2h_bias=mx.sym.Variable("l%d_i2h_bias" % i), h2h_weight=mx.sym.Variable("l%d_h2h_weight" % i), h2h_bias=mx.sym.Variable("l%d_h2h_bias" % i))) state = LSTMState(c=mx.sym.Variable("l%d_init_c" % i), h=mx.sym.Variable("l%d_init_h" % i)) last_states.append(state) assert len(last_states) == num_lstm_layer # embedding layer data = mx.sym.Variable('data') wordvec = mx.sym.SliceChannel(data=data, num_outputs=seq_len, squeeze_axis=1) hidden_all = [] for seqidx in range(seq_len): hidden = wordvec[seqidx] for i in range(num_lstm_layer): next_state = _lstm( num_hidden=num_hidden, indata=hidden, prev_state=last_states[i], param=param_cells[i], seqidx=seqidx, layeridx=i) hidden = next_state.h last_states[i] = next_state hidden_all.append(hidden) hidden_concat = mx.sym.Concat(*hidden_all, dim=0) pred_fc = mx.sym.FullyConnected(data=hidden_concat, num_hidden=11, name="pred_fc") return pred_fc
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Returns symbol for LSTM model up to loss/softmax
[ "Returns", "symbol", "for", "LSTM", "model", "up", "to", "loss", "/", "softmax" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ctc/lstm.py#L58-L93
train
Returns symbol for LSTM model up to loss and softmax
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(54) + chr(0b0 + 0o62), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\063' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x34' + chr(0b10111 + 0o34), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4141 - 4030) + '\x33' + chr(0b101010 + 0o11) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(51) + chr(254 - 206) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(2303 - 2255) + chr(0b110101 + 0o72) + '\063' + '\x36' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b101110 + 0o101) + chr(0b1100 + 0o46) + chr(48) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b11111 + 0o26) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6414 - 6303) + '\x33' + chr(0b110001) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + chr(0b110001) + chr(55) + '\x32', 56340 - 56332), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + '\062' + '\x37' + chr(2242 - 2193), 0b1000), ehT0Px3KOsy9(chr(1178 - 1130) + chr(111) + chr(0b0 + 0o61) + chr(0b10011 + 0o35) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b1110 + 0o45) + '\x30', 1073 - 1065), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100110 + 0o13) + chr(48) + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110110) + chr(0b10110 + 0o41), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(6134 - 6023) + chr(1733 - 1683) + '\x32' + '\060', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x37' + chr(0b101111 + 0o2), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10000 + 0o47) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b101000 + 0o10) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1925 - 1877) + chr(0b1101111) + chr(50) + chr(0b110011) + chr(583 - 528), 0o10), ehT0Px3KOsy9(chr(850 - 802) + '\x6f' + chr(49) + chr(0b110110) + chr(52), 6079 - 6071), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11000 + 0o33) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(2578 - 2524) + chr(0b110110), 26590 - 26582), ehT0Px3KOsy9(chr(1475 - 1427) + '\157' + chr(0b110 + 0o53) + chr(766 - 712), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(83 - 35) + chr(49), 0b1000), ehT0Px3KOsy9(chr(2032 - 1984) + '\157' + chr(0b110111) + '\x30', 20262 - 20254), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b110011) + chr(707 - 657), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(3201 - 3090) + '\x33' + chr(52), 8), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(53) + chr(49), 15587 - 15579), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(49) + '\067' + chr(0b1011 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(1355 - 1303) + chr(0b110010), 19928 - 19920), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100011 + 0o20) + '\066', 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + '\063' + '\061' + chr(1424 - 1370), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b110110) + chr(0b10110 + 0o36), 8), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(51) + '\065' + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(0b110100) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b110011) + chr(0b1 + 0o64) + chr(0b110110), 63113 - 63105), ehT0Px3KOsy9(chr(1293 - 1245) + chr(111) + chr(0b110011) + chr(49) + chr(0b11111 + 0o24), 1660 - 1652), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110101) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(516 - 468) + '\157' + chr(0b1101 + 0o44) + '\x32' + chr(0b110101), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(6011 - 5900) + chr(0b110101) + chr(48), 5237 - 5229)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\\'), '\x64' + chr(101) + chr(0b1010000 + 0o23) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(2032 - 1915) + '\x74' + '\x66' + chr(45) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def cAHxfZFxAaXM(zB7O9087wNzD, yDZoVeyD82xU, ErqkiO20_RGX): owQ94mRB3ImR = [] dEkrqo6CtA_T = [] for WVxHKyX45z_L in vQr8gNKaIaWE(zB7O9087wNzD): xafqLlk3kkUe(owQ94mRB3ImR, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xe8S\xb9\xab\x93'), '\144' + '\x65' + '\143' + chr(3567 - 3456) + chr(0b1100100) + chr(101))(chr(0b1101001 + 0o14) + '\164' + chr(0b1100110) + chr(0b11111 + 0o16) + chr(0b11111 + 0o31)))(STy23CQOyYDL(i2h_weight=xafqLlk3kkUe(CIVheOt0RKQX.sym, xafqLlk3kkUe(SXOLrMavuUCe(b'$\xf9Q\xb5\xa4\x95\xe8\x0c'), chr(100) + chr(10171 - 10070) + chr(0b1100011) + '\157' + chr(0b1011110 + 0o6) + '\x65')(chr(0b1110101) + chr(0b100110 + 0o116) + chr(1545 - 1443) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xbdG\x83\xac\xc5\xec6\xb8\x1f\xd0$\xb05'), '\x64' + chr(0b1100101) + chr(0b11110 + 0o105) + chr(111) + '\x64' + chr(0b0 + 0o145))('\165' + '\164' + chr(0b1010110 + 0o20) + chr(1293 - 1248) + chr(56)) % WVxHKyX45z_L), i2h_bias=xafqLlk3kkUe(CIVheOt0RKQX.sym, xafqLlk3kkUe(SXOLrMavuUCe(b'$\xf9Q\xb5\xa4\x95\xe8\x0c'), chr(0b11000 + 0o114) + chr(8805 - 8704) + chr(99) + chr(0b1010000 + 0o37) + chr(0b1100100) + chr(0b1001110 + 0o27))(chr(0b1110101) + chr(0b10010 + 0o142) + '\146' + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xbdG\x83\xac\xc5\xec6\xad\x13\xd80'), chr(1779 - 1679) + chr(101) + '\x63' + chr(0b111111 + 0o60) + chr(8675 - 8575) + '\x65')(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b101101) + chr(3103 - 3047)) % WVxHKyX45z_L), h2h_weight=xafqLlk3kkUe(CIVheOt0RKQX.sym, xafqLlk3kkUe(SXOLrMavuUCe(b'$\xf9Q\xb5\xa4\x95\xe8\x0c'), '\x64' + chr(1570 - 1469) + chr(99) + chr(0b110001 + 0o76) + chr(0b1101 + 0o127) + chr(5138 - 5037))(chr(965 - 848) + chr(0b1010110 + 0o36) + '\146' + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xbdG\x83\xad\xc5\xec6\xb8\x1f\xd0$\xb05'), chr(0b1100100) + '\145' + '\143' + chr(0b100110 + 0o111) + chr(0b1111 + 0o125) + '\145')('\165' + chr(116) + chr(6897 - 6795) + '\055' + '\x38') % WVxHKyX45z_L), h2h_bias=xafqLlk3kkUe(CIVheOt0RKQX.sym, xafqLlk3kkUe(SXOLrMavuUCe(b'$\xf9Q\xb5\xa4\x95\xe8\x0c'), chr(100) + chr(0b1100101) + chr(8671 - 8572) + '\x6f' + chr(100) + chr(101))('\165' + chr(11511 - 11395) + chr(0b10101 + 0o121) + '\055' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xbdG\x83\xad\xc5\xec6\xad\x13\xd80'), '\144' + '\145' + chr(0b1111 + 0o124) + '\157' + chr(4146 - 4046) + chr(0b101011 + 0o72))('\x75' + chr(4975 - 4859) + chr(4004 - 3902) + chr(0b100 + 0o51) + '\070') % WVxHKyX45z_L))) KKFQISrGeiAm = gWKj0a5Jy1Tx(c=CIVheOt0RKQX.sym.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xbdG\x83\xac\x99\xed\x1d\x90\x19'), chr(100) + '\145' + chr(0b1001110 + 0o25) + chr(3607 - 3496) + '\x64' + chr(101))(chr(6026 - 5909) + chr(116) + chr(102) + chr(1003 - 958) + chr(0b11011 + 0o35)) % WVxHKyX45z_L), h=CIVheOt0RKQX.sym.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xbdG\x83\xac\x99\xed\x1d\x90\x12'), chr(2535 - 2435) + '\145' + chr(2378 - 2279) + '\x6f' + chr(3149 - 3049) + chr(0b1100 + 0o131))(chr(4371 - 4254) + chr(116) + chr(2882 - 2780) + chr(270 - 225) + chr(1087 - 1031)) % WVxHKyX45z_L)) xafqLlk3kkUe(dEkrqo6CtA_T, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xe8S\xb9\xab\x93'), '\x64' + chr(0b100001 + 0o104) + '\143' + chr(0b1010110 + 0o31) + chr(100) + '\x65')(chr(117) + '\164' + chr(8329 - 8227) + '\x2d' + '\x38'))(KKFQISrGeiAm) assert c2A0yzQpDQB3(dEkrqo6CtA_T) == zB7O9087wNzD ULnjp6D6efFH = CIVheOt0RKQX.sym.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\xf9W\xbd'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(100) + chr(101))(chr(11134 - 11017) + chr(0b1110100) + chr(0b1100110) + chr(0b100011 + 0o12) + chr(0b11 + 0o65))) kNqwInmHrg6N = CIVheOt0RKQX.sym.SliceChannel(data=ULnjp6D6efFH, num_outputs=yDZoVeyD82xU, squeeze_axis=ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + '\061', ord("\x08"))) Wdj07ywEqmC0 = [] for rPAbI3pldbG1 in vQr8gNKaIaWE(yDZoVeyD82xU): CknQN6tef5sc = kNqwInmHrg6N[rPAbI3pldbG1] for WVxHKyX45z_L in vQr8gNKaIaWE(zB7O9087wNzD): l7yOP9uqtsC4 = qhCJkAXrWWqQ(num_hidden=ErqkiO20_RGX, indata=CknQN6tef5sc, prev_state=dEkrqo6CtA_T[WVxHKyX45z_L], param=owQ94mRB3ImR[WVxHKyX45z_L], seqidx=rPAbI3pldbG1, layeridx=WVxHKyX45z_L) CknQN6tef5sc = l7yOP9uqtsC4.h dEkrqo6CtA_T[WVxHKyX45z_L] = l7yOP9uqtsC4 xafqLlk3kkUe(Wdj07ywEqmC0, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xe8S\xb9\xab\x93'), chr(8195 - 8095) + chr(5937 - 5836) + '\143' + '\x6f' + chr(0b11111 + 0o105) + '\145')(chr(0b1110101) + '\164' + chr(6094 - 5992) + chr(338 - 293) + chr(0b111000)))(CknQN6tef5sc) BdDxJ450kxxE = CIVheOt0RKQX.sym.Concat(*Wdj07ywEqmC0, dim=ehT0Px3KOsy9('\x30' + '\157' + chr(1763 - 1715), 0b1000)) rWWN3HD4EqJc = CIVheOt0RKQX.sym.FullyConnected(data=BdDxJ450kxxE, num_hidden=ehT0Px3KOsy9(chr(48) + chr(0b1010001 + 0o36) + chr(1236 - 1187) + chr(0b110011), 15328 - 15320), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\xeaF\xb8\x9a\x91\xe7'), '\144' + chr(0b1100101) + chr(99) + chr(111) + chr(0b1010 + 0o132) + '\x65')('\x75' + chr(0b1110100) + chr(5296 - 5194) + chr(0b101101) + chr(56))) return rWWN3HD4EqJc
apache/incubator-mxnet
example/ctc/lstm.py
_add_warp_ctc_loss
def _add_warp_ctc_loss(pred, seq_len, num_label, label): """ Adds Symbol.contrib.ctc_loss on top of pred symbol and returns the resulting symbol """ label = mx.sym.Reshape(data=label, shape=(-1,)) label = mx.sym.Cast(data=label, dtype='int32') return mx.sym.WarpCTC(data=pred, label=label, label_length=num_label, input_length=seq_len)
python
def _add_warp_ctc_loss(pred, seq_len, num_label, label): """ Adds Symbol.contrib.ctc_loss on top of pred symbol and returns the resulting symbol """ label = mx.sym.Reshape(data=label, shape=(-1,)) label = mx.sym.Cast(data=label, dtype='int32') return mx.sym.WarpCTC(data=pred, label=label, label_length=num_label, input_length=seq_len)
[ "def", "_add_warp_ctc_loss", "(", "pred", ",", "seq_len", ",", "num_label", ",", "label", ")", ":", "label", "=", "mx", ".", "sym", ".", "Reshape", "(", "data", "=", "label", ",", "shape", "=", "(", "-", "1", ",", ")", ")", "label", "=", "mx", ".", "sym", ".", "Cast", "(", "data", "=", "label", ",", "dtype", "=", "'int32'", ")", "return", "mx", ".", "sym", ".", "WarpCTC", "(", "data", "=", "pred", ",", "label", "=", "label", ",", "label_length", "=", "num_label", ",", "input_length", "=", "seq_len", ")" ]
Adds Symbol.contrib.ctc_loss on top of pred symbol and returns the resulting symbol
[ "Adds", "Symbol", ".", "contrib", ".", "ctc_loss", "on", "top", "of", "pred", "symbol", "and", "returns", "the", "resulting", "symbol" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ctc/lstm.py#L96-L100
train
Adds a WarpCTC loss on top of pred symbol and returns the resulting 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(48) + chr(111) + chr(0b110010) + '\x31' + chr(0b10101 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\060' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(8183 - 8072) + '\063' + chr(0b110101) + chr(0b10101 + 0o34), 15540 - 15532), ehT0Px3KOsy9(chr(48) + chr(6719 - 6608) + '\x31' + chr(0b110000) + chr(53), 26893 - 26885), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + chr(0b100001 + 0o21) + chr(0b1100 + 0o46), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1101 + 0o45) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(49) + '\x33' + chr(0b11101 + 0o27), 36231 - 36223), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b110100) + '\x31', 26339 - 26331), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(164 - 115) + chr(0b110000) + '\061', 6200 - 6192), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\067' + chr(55), 24419 - 24411), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10111 + 0o34) + chr(0b101010 + 0o15) + '\x36', 0b1000), ehT0Px3KOsy9(chr(256 - 208) + chr(0b1010001 + 0o36) + chr(107 - 57) + chr(0b11000 + 0o31) + chr(0b110111), 64722 - 64714), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(50) + chr(0b0 + 0o60), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b1001 + 0o56), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7064 - 6953) + chr(0b110 + 0o54) + '\x31' + '\063', 8), ehT0Px3KOsy9(chr(2160 - 2112) + chr(0b111111 + 0o60) + '\x32' + chr(0b11101 + 0o24) + chr(118 - 70), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\062' + chr(0b110110) + chr(0b110001), 22534 - 22526), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100001 + 0o21) + '\x33' + chr(0b101000 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(0b110001) + '\x32' + chr(1719 - 1665), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2067 - 2017) + chr(1198 - 1150) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b110101 + 0o2) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(3612 - 3501) + '\061' + chr(0b11100 + 0o27) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + chr(0b100001 + 0o25) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(0b110110) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11011 + 0o27) + '\064' + chr(0b110101), 56099 - 56091), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(51) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1293 - 1243) + chr(49) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x34' + chr(0b10100 + 0o41), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\066' + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110110) + chr(0b110110), 20653 - 20645), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1 + 0o62), 47831 - 47823), ehT0Px3KOsy9(chr(1162 - 1114) + '\x6f' + '\062' + chr(51) + chr(0b100100 + 0o16), 25721 - 25713), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101011 + 0o11) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + chr(0b10111 + 0o35) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b110100) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1047 - 999) + '\x6f' + chr(50) + '\x35' + chr(2438 - 2385), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101010 + 0o105) + '\x33' + chr(2259 - 2204) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(5716 - 5605) + '\064' + '\x31', 8), ehT0Px3KOsy9(chr(2246 - 2198) + '\157' + chr(54) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11010 + 0o27) + chr(0b110001) + chr(48), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + '\065' + chr(1958 - 1910), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5'), chr(3508 - 3408) + chr(101) + '\x63' + chr(0b110 + 0o151) + chr(5024 - 4924) + '\145')('\x75' + chr(0b1110100) + '\146' + '\x2d' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def hhTP1lAxgaRL(eyamnrN0elUS, yDZoVeyD82xU, bb1eOXt29ZUP, TRUOLFLuD08x): TRUOLFLuD08x = CIVheOt0RKQX.sym.Reshape(data=TRUOLFLuD08x, shape=(-ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101010 + 0o7), 0o10),)) TRUOLFLuD08x = CIVheOt0RKQX.sym.Cast(data=TRUOLFLuD08x, dtype=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xa9\x9dv '), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1100111 + 0o10) + chr(4041 - 3941) + chr(0b1100101))('\165' + '\164' + chr(454 - 352) + chr(730 - 685) + chr(56))) return xafqLlk3kkUe(CIVheOt0RKQX.sym, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xa6\x9b5QC\x1f'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1100100 + 0o13) + '\x64' + '\145')(chr(117) + chr(0b110101 + 0o77) + chr(0b1011111 + 0o7) + '\055' + chr(2564 - 2508)))(data=eyamnrN0elUS, label=TRUOLFLuD08x, label_length=bb1eOXt29ZUP, input_length=yDZoVeyD82xU)
apache/incubator-mxnet
example/ctc/lstm.py
_add_mxnet_ctc_loss
def _add_mxnet_ctc_loss(pred, seq_len, label): """ Adds Symbol.WapCTC on top of pred symbol and returns the resulting symbol """ pred_ctc = mx.sym.Reshape(data=pred, shape=(-4, seq_len, -1, 0)) loss = mx.sym.contrib.ctc_loss(data=pred_ctc, label=label) ctc_loss = mx.sym.MakeLoss(loss) softmax_class = mx.symbol.SoftmaxActivation(data=pred) softmax_loss = mx.sym.MakeLoss(softmax_class) softmax_loss = mx.sym.BlockGrad(softmax_loss) return mx.sym.Group([softmax_loss, ctc_loss])
python
def _add_mxnet_ctc_loss(pred, seq_len, label): """ Adds Symbol.WapCTC on top of pred symbol and returns the resulting symbol """ pred_ctc = mx.sym.Reshape(data=pred, shape=(-4, seq_len, -1, 0)) loss = mx.sym.contrib.ctc_loss(data=pred_ctc, label=label) ctc_loss = mx.sym.MakeLoss(loss) softmax_class = mx.symbol.SoftmaxActivation(data=pred) softmax_loss = mx.sym.MakeLoss(softmax_class) softmax_loss = mx.sym.BlockGrad(softmax_loss) return mx.sym.Group([softmax_loss, ctc_loss])
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Adds Symbol.WapCTC on top of pred symbol and returns the resulting symbol
[ "Adds", "Symbol", ".", "WapCTC", "on", "top", "of", "pred", "symbol", "and", "returns", "the", "resulting", "symbol" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ctc/lstm.py#L103-L113
train
Adds Symbol. WapCTC on top of pred symbol and returns the resulting 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(0b1100 + 0o44) + '\x6f' + chr(0b10111 + 0o32) + '\x32' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(50) + chr(53) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b110110) + chr(0b110001), 11578 - 11570), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2164 - 2113) + chr(1198 - 1148), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6722 - 6611) + chr(0b110010) + chr(54) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + chr(0b110101) + '\065', 37954 - 37946), ehT0Px3KOsy9('\x30' + chr(7415 - 7304) + '\x33' + chr(0b110110) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10111 + 0o33) + chr(1106 - 1053) + chr(55), 10778 - 10770), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1010101 + 0o32) + '\x32' + chr(52) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1138 - 1090) + '\157' + '\061' + '\x33' + chr(381 - 332), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\065' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\x36' + chr(52), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(702 - 653) + chr(0b111 + 0o55) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(6865 - 6754) + chr(0b11110 + 0o24) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(286 - 238) + chr(0b1100000 + 0o17) + '\062' + chr(1471 - 1421) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1625 - 1577) + '\x6f' + chr(2035 - 1985) + chr(215 - 161) + chr(973 - 922), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011011 + 0o24) + '\062' + '\061' + chr(0b10100 + 0o35), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\x31' + chr(0b110010), 15237 - 15229), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b100100 + 0o113) + '\x32' + chr(51) + chr(0b11001 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + '\x32' + chr(54) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010011 + 0o34) + chr(1187 - 1137) + '\061' + chr(50), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b111 + 0o54) + '\x34' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + chr(1727 - 1676) + chr(2657 - 2604), 53794 - 53786), ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + chr(1643 - 1591) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\063' + '\067' + chr(2814 - 2759), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(5394 - 5283) + chr(0b110110) + chr(0b101001 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(454 - 406) + chr(0b1111 + 0o140) + chr(49) + '\067' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b1000 + 0o57) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11028 - 10917) + chr(49), 0o10), ehT0Px3KOsy9(chr(2001 - 1953) + chr(4435 - 4324) + chr(49) + '\x30' + '\062', 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(0b101010 + 0o7) + '\065' + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(7698 - 7587) + chr(1516 - 1467) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1010100 + 0o33) + chr(51) + chr(0b11000 + 0o32) + chr(0b110001), 30197 - 30189), ehT0Px3KOsy9('\060' + chr(111) + chr(748 - 698) + '\061' + chr(0b101100 + 0o13), 0b1000), ehT0Px3KOsy9('\060' + chr(9035 - 8924) + chr(0b11001 + 0o32) + '\064' + chr(55), 8), ehT0Px3KOsy9(chr(238 - 190) + '\157' + chr(187 - 135), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11101 + 0o122) + chr(0b10110 + 0o34) + '\064' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(1294 - 1243) + chr(48) + chr(0b10 + 0o60), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10 + 0o61) + chr(51) + chr(384 - 335), ord("\x08")), ehT0Px3KOsy9(chr(94 - 46) + chr(0b1101111) + chr(51) + '\065' + chr(0b1010 + 0o46), 7403 - 7395)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1114 - 1066) + '\157' + chr(0b10110 + 0o37) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f'), '\144' + chr(101) + chr(0b1100011) + chr(111) + chr(0b100 + 0o140) + '\145')('\165' + '\164' + chr(0b1100110) + '\055' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def JoGw90OnymqE(eyamnrN0elUS, yDZoVeyD82xU, TRUOLFLuD08x): I4Q8bdyiRhYa = CIVheOt0RKQX.sym.Reshape(data=eyamnrN0elUS, shape=(-ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + '\x34', 8), yDZoVeyD82xU, -ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x30', 0b1000))) YpO0BcZ6fMsf = CIVheOt0RKQX.sym.contrib.ctc_loss(data=I4Q8bdyiRhYa, label=TRUOLFLuD08x) hWFQOvfX6kQV = CIVheOt0RKQX.sym.MakeLoss(YpO0BcZ6fMsf) zLyNyiWy8QeQ = CIVheOt0RKQX.symbol.SoftmaxActivation(data=eyamnrN0elUS) GoYnarIAA11B = CIVheOt0RKQX.sym.MakeLoss(zLyNyiWy8QeQ) GoYnarIAA11B = CIVheOt0RKQX.sym.BlockGrad(GoYnarIAA11B) return xafqLlk3kkUe(CIVheOt0RKQX.sym, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\xde\x1eo\xc1'), chr(100) + chr(377 - 276) + '\x63' + '\x6f' + chr(100) + chr(0b1100010 + 0o3))(chr(0b1100111 + 0o16) + chr(0b10110 + 0o136) + '\x66' + chr(0b101101) + chr(0b111000)))([GoYnarIAA11B, hWFQOvfX6kQV])
apache/incubator-mxnet
example/ctc/lstm.py
_add_ctc_loss
def _add_ctc_loss(pred, seq_len, num_label, loss_type): """ Adds CTC loss on top of pred symbol and returns the resulting symbol """ label = mx.sym.Variable('label') if loss_type == 'warpctc': print("Using WarpCTC Loss") sm = _add_warp_ctc_loss(pred, seq_len, num_label, label) else: print("Using MXNet CTC Loss") assert loss_type == 'ctc' sm = _add_mxnet_ctc_loss(pred, seq_len, label) return sm
python
def _add_ctc_loss(pred, seq_len, num_label, loss_type): """ Adds CTC loss on top of pred symbol and returns the resulting symbol """ label = mx.sym.Variable('label') if loss_type == 'warpctc': print("Using WarpCTC Loss") sm = _add_warp_ctc_loss(pred, seq_len, num_label, label) else: print("Using MXNet CTC Loss") assert loss_type == 'ctc' sm = _add_mxnet_ctc_loss(pred, seq_len, label) return sm
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Adds CTC loss on top of pred symbol and returns the resulting symbol
[ "Adds", "CTC", "loss", "on", "top", "of", "pred", "symbol", "and", "returns", "the", "resulting", "symbol" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ctc/lstm.py#L116-L126
train
Adds CTC loss on top of pred symbol and returns the resulting 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(0b101000 + 0o10) + chr(0b1101111) + chr(1238 - 1187) + chr(0b110111) + chr(2738 - 2685), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x37' + chr(2025 - 1976), 3584 - 3576), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10000 + 0o43) + '\061' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b11101 + 0o32) + chr(0b110110 + 0o1), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(50) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(48) + chr(0b100011 + 0o20), 0b1000), ehT0Px3KOsy9(chr(2146 - 2098) + chr(0b1101111) + chr(1324 - 1275) + chr(50) + '\x35', 52521 - 52513), ehT0Px3KOsy9(chr(48) + chr(11327 - 11216) + chr(0b110011) + '\x34' + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(1498 - 1387) + chr(75 - 24) + '\061' + chr(0b110110), 47138 - 47130), ehT0Px3KOsy9(chr(1594 - 1546) + '\x6f' + chr(50) + '\x35' + chr(0b101001 + 0o10), 0b1000), ehT0Px3KOsy9(chr(711 - 663) + chr(0b1101111) + chr(0b110010 + 0o0) + chr(48) + '\x36', 35521 - 35513), ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b110100 + 0o1), 0o10), ehT0Px3KOsy9(chr(1929 - 1881) + '\157' + '\061' + '\x33', 0o10), ehT0Px3KOsy9(chr(1700 - 1652) + '\x6f' + '\063' + chr(0b110000) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110111) + chr(0b101110 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1203 - 1154) + chr(89 - 36), 8), ehT0Px3KOsy9(chr(0b110000) + chr(1055 - 944) + chr(50) + chr(51) + '\063', 49081 - 49073), ehT0Px3KOsy9(chr(48) + chr(4412 - 4301) + '\x32' + chr(0b110010) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(0b1011 + 0o47) + chr(0b110001) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(2396 - 2343) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(49), 49183 - 49175), ehT0Px3KOsy9(chr(188 - 140) + chr(0b1101111) + chr(0b110001) + chr(1800 - 1749) + chr(1908 - 1855), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1011011 + 0o24) + chr(2175 - 2124) + chr(55) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(458 - 410) + chr(9659 - 9548) + chr(50) + chr(55) + chr(0b1000 + 0o50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(862 - 807) + chr(0b101010 + 0o13), 8), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\x32' + chr(55) + chr(157 - 107), 25737 - 25729), ehT0Px3KOsy9('\060' + chr(10159 - 10048) + '\062' + '\060' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(2292 - 2241) + chr(1695 - 1641) + chr(1736 - 1687), 24528 - 24520), ehT0Px3KOsy9(chr(0b110000) + chr(0b1111 + 0o140) + chr(0b110001) + chr(0b110000), 63923 - 63915), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(842 - 792) + '\067' + chr(1734 - 1683), 0o10), ehT0Px3KOsy9(chr(1145 - 1097) + chr(4173 - 4062) + chr(49) + chr(1774 - 1721) + '\x36', 8), ehT0Px3KOsy9(chr(1748 - 1700) + '\x6f' + chr(0b110010) + '\066' + chr(235 - 183), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5848 - 5737) + chr(0b110001) + '\066' + chr(187 - 137), 56584 - 56576), ehT0Px3KOsy9('\x30' + '\157' + chr(2888 - 2833) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\x33' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b100101 + 0o112) + '\x33' + chr(1743 - 1691) + '\062', 8), ehT0Px3KOsy9(chr(1132 - 1084) + '\157' + '\063' + chr(0b0 + 0o67) + chr(0b101101 + 0o6), 26049 - 26041), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(150 - 98) + chr(701 - 651), 0o10), ehT0Px3KOsy9(chr(48) + chr(3686 - 3575) + '\062' + '\066' + '\064', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101) + chr(0b10011 + 0o35), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3'), chr(0b1100100) + chr(4141 - 4040) + chr(2459 - 2360) + chr(111) + chr(0b101100 + 0o70) + chr(621 - 520))(chr(2640 - 2523) + '\x74' + chr(0b1100110) + chr(1510 - 1465) + chr(0b1101 + 0o53)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def y5XW8D8aHayH(eyamnrN0elUS, yDZoVeyD82xU, bb1eOXt29ZUP, sCY5e605iNND): TRUOLFLuD08x = CIVheOt0RKQX.sym.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\x18\xaf\xda<'), chr(0b1100100) + '\145' + chr(7414 - 7315) + '\157' + chr(0b1100100) + chr(101))(chr(0b1100011 + 0o22) + chr(0b1110100) + '\x66' + '\055' + '\070')) if sCY5e605iNND == xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x18\xbf\xcf3\xb76'), chr(100) + chr(0b1100101) + '\x63' + chr(111) + '\x64' + '\145')(chr(117) + '\164' + chr(0b1001 + 0o135) + '\055' + '\070'): zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\n\xa4\xd17\xe3\x02\x83\xbc\xd9\xc5xN+\x8aT~\xe8'), '\x64' + chr(0b1100101) + '\x63' + '\157' + chr(100) + '\x65')('\x75' + chr(0b1110100) + chr(102) + chr(45) + chr(0b111000))) Sqo3XGkjFXwd = hhTP1lAxgaRL(eyamnrN0elUS, yDZoVeyD82xU, bb1eOXt29ZUP, TRUOLFLuD08x) else: zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\n\xa4\xd17\xe3\x18\xba\x80\xcc\xf2\x0cN_\x85\x1bA\xf4\xe7\xfc'), chr(7011 - 6911) + chr(101) + chr(0b1100011) + '\x6f' + chr(0b1 + 0o143) + chr(101))('\x75' + '\164' + chr(102) + chr(0b101101) + chr(0b111000))) assert sCY5e605iNND == xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\r\xae'), chr(0b1000 + 0o134) + chr(0b1100101) + chr(99) + chr(8347 - 8236) + '\144' + '\x65')(chr(0b1110101) + chr(0b1000101 + 0o57) + chr(0b100100 + 0o102) + chr(45) + '\070') Sqo3XGkjFXwd = JoGw90OnymqE(eyamnrN0elUS, yDZoVeyD82xU, TRUOLFLuD08x) return Sqo3XGkjFXwd
apache/incubator-mxnet
example/ctc/lstm.py
lstm_unroll
def lstm_unroll(num_lstm_layer, seq_len, num_hidden, num_label, loss_type=None): """ Creates an unrolled LSTM symbol for inference if loss_type is not specified, and for training if loss_type is specified. loss_type must be one of 'ctc' or 'warpctc' Parameters ---------- num_lstm_layer: int seq_len: int num_hidden: int num_label: int loss_type: str 'ctc' or 'warpctc' Returns ------- mxnet.symbol.symbol.Symbol """ # Create the base (shared between training and inference) and add loss to the end pred = _lstm_unroll_base(num_lstm_layer, seq_len, num_hidden) if loss_type: # Training mode, add loss return _add_ctc_loss(pred, seq_len, num_label, loss_type) else: # Inference mode, add softmax return mx.sym.softmax(data=pred, name='softmax')
python
def lstm_unroll(num_lstm_layer, seq_len, num_hidden, num_label, loss_type=None): """ Creates an unrolled LSTM symbol for inference if loss_type is not specified, and for training if loss_type is specified. loss_type must be one of 'ctc' or 'warpctc' Parameters ---------- num_lstm_layer: int seq_len: int num_hidden: int num_label: int loss_type: str 'ctc' or 'warpctc' Returns ------- mxnet.symbol.symbol.Symbol """ # Create the base (shared between training and inference) and add loss to the end pred = _lstm_unroll_base(num_lstm_layer, seq_len, num_hidden) if loss_type: # Training mode, add loss return _add_ctc_loss(pred, seq_len, num_label, loss_type) else: # Inference mode, add softmax return mx.sym.softmax(data=pred, name='softmax')
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Creates an unrolled LSTM symbol for inference if loss_type is not specified, and for training if loss_type is specified. loss_type must be one of 'ctc' or 'warpctc' Parameters ---------- num_lstm_layer: int seq_len: int num_hidden: int num_label: int loss_type: str 'ctc' or 'warpctc' Returns ------- mxnet.symbol.symbol.Symbol
[ "Creates", "an", "unrolled", "LSTM", "symbol", "for", "inference", "if", "loss_type", "is", "not", "specified", "and", "for", "training", "if", "loss_type", "is", "specified", ".", "loss_type", "must", "be", "one", "of", "ctc", "or", "warpctc" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ctc/lstm.py#L129-L155
train
Creates an unrolled LSTM symbol for training or inference.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(299 - 251) + chr(6355 - 6244) + '\065' + chr(0b0 + 0o64), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + '\063' + '\064' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(50) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(0b110010) + chr(0b110100) + chr(887 - 833), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(684 - 573) + chr(0b110010) + chr(0b110101) + chr(0b100101 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x32' + chr(0b1011 + 0o53), 0o10), ehT0Px3KOsy9('\060' + chr(1394 - 1283) + chr(1139 - 1089) + chr(1308 - 1253) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(2274 - 2226) + chr(2322 - 2211) + chr(0b110001) + chr(1008 - 956) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110110) + chr(695 - 645), 0o10), ehT0Px3KOsy9(chr(1492 - 1444) + '\157' + chr(0b110001) + chr(54) + '\062', 46281 - 46273), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\x33' + '\x33', 13658 - 13650), ehT0Px3KOsy9(chr(2023 - 1975) + chr(0b1101111) + chr(1946 - 1895) + chr(0b100000 + 0o22) + chr(0b100011 + 0o21), 14337 - 14329), ehT0Px3KOsy9('\060' + '\157' + chr(184 - 135) + '\066' + chr(0b100011 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b111 + 0o54) + '\x31', 0o10), ehT0Px3KOsy9(chr(973 - 925) + chr(5255 - 5144) + chr(1025 - 976) + '\x35' + chr(2936 - 2881), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11011 + 0o124) + chr(0b110100) + '\063', 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(50) + '\x37' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b110110), 7209 - 7201), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1745 - 1694) + chr(869 - 816) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(0b11010 + 0o31) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1501 - 1452) + '\061' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b101010 + 0o15) + chr(200 - 149), 0o10), ehT0Px3KOsy9(chr(825 - 777) + chr(0b10110 + 0o131) + chr(0b110010) + chr(54) + chr(49), 44783 - 44775), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + chr(1674 - 1624) + chr(2032 - 1982) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(49) + chr(50) + '\063', 0o10), ehT0Px3KOsy9(chr(2108 - 2060) + chr(0b1101111) + '\064' + chr(0b110011), 8), ehT0Px3KOsy9(chr(300 - 252) + chr(640 - 529) + chr(1621 - 1570) + chr(0b110111) + '\063', 0b1000), ehT0Px3KOsy9(chr(1620 - 1572) + chr(202 - 91) + '\x33' + chr(694 - 645) + chr(2300 - 2248), ord("\x08")), ehT0Px3KOsy9(chr(1043 - 995) + '\x6f' + chr(1996 - 1946) + chr(1635 - 1582) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3568 - 3457) + '\063' + '\063' + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x36' + chr(0b110010), 51350 - 51342), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11101 + 0o24) + chr(2373 - 2321) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b11110 + 0o25) + chr(231 - 183), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(601 - 550) + chr(1155 - 1107), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\065' + chr(49), 30770 - 30762), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1001001 + 0o46) + '\x33' + chr(0b1110 + 0o45), 2518 - 2510), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\x36' + chr(1625 - 1576), 8), ehT0Px3KOsy9(chr(48) + chr(5988 - 5877) + chr(0b100000 + 0o23) + chr(1463 - 1409) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(9238 - 9127) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(253 - 205) + chr(0b1101001 + 0o6) + chr(567 - 516) + '\x30' + chr(0b110011), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101010 + 0o5) + chr(0b110101) + chr(1078 - 1030), 28565 - 28557)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x02'), chr(0b110010 + 0o62) + chr(0b1001010 + 0o33) + chr(0b1100011) + chr(8646 - 8535) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1000011 + 0o61) + '\146' + chr(45) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Ir5BFISS4EV7(zB7O9087wNzD, yDZoVeyD82xU, ErqkiO20_RGX, bb1eOXt29ZUP, sCY5e605iNND=None): eyamnrN0elUS = cAHxfZFxAaXM(zB7O9087wNzD, yDZoVeyD82xU, ErqkiO20_RGX) if sCY5e605iNND: return y5XW8D8aHayH(eyamnrN0elUS, yDZoVeyD82xU, bb1eOXt29ZUP, sCY5e605iNND) else: return xafqLlk3kkUe(CIVheOt0RKQX.sym, xafqLlk3kkUe(SXOLrMavuUCe(b'_\x8f4\xd2\xc1\xf7\xc6'), chr(0b1100100) + '\x65' + '\143' + chr(0b1010111 + 0o30) + chr(2428 - 2328) + chr(4607 - 4506))(chr(0b110001 + 0o104) + chr(4729 - 4613) + chr(102) + chr(0b0 + 0o55) + chr(0b111000)))(data=eyamnrN0elUS, name=xafqLlk3kkUe(SXOLrMavuUCe(b'_\x8f4\xd2\xc1\xf7\xc6'), chr(100) + '\x65' + chr(99) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110000 + 0o5) + '\x74' + chr(1005 - 903) + '\055' + '\x38'))
apache/incubator-mxnet
example/ctc/lstm.py
init_states
def init_states(batch_size, num_lstm_layer, num_hidden): """ Returns name and shape of init states of LSTM network Parameters ---------- batch_size: list of tuple of str and tuple of int and int num_lstm_layer: int num_hidden: int Returns ------- list of tuple of str and tuple of int and int """ init_c = [('l%d_init_c' % l, (batch_size, num_hidden)) for l in range(num_lstm_layer)] init_h = [('l%d_init_h' % l, (batch_size, num_hidden)) for l in range(num_lstm_layer)] return init_c + init_h
python
def init_states(batch_size, num_lstm_layer, num_hidden): """ Returns name and shape of init states of LSTM network Parameters ---------- batch_size: list of tuple of str and tuple of int and int num_lstm_layer: int num_hidden: int Returns ------- list of tuple of str and tuple of int and int """ init_c = [('l%d_init_c' % l, (batch_size, num_hidden)) for l in range(num_lstm_layer)] init_h = [('l%d_init_h' % l, (batch_size, num_hidden)) for l in range(num_lstm_layer)] return init_c + init_h
[ "def", "init_states", "(", "batch_size", ",", "num_lstm_layer", ",", "num_hidden", ")", ":", "init_c", "=", "[", "(", "'l%d_init_c'", "%", "l", ",", "(", "batch_size", ",", "num_hidden", ")", ")", "for", "l", "in", "range", "(", "num_lstm_layer", ")", "]", "init_h", "=", "[", "(", "'l%d_init_h'", "%", "l", ",", "(", "batch_size", ",", "num_hidden", ")", ")", "for", "l", "in", "range", "(", "num_lstm_layer", ")", "]", "return", "init_c", "+", "init_h" ]
Returns name and shape of init states of LSTM network Parameters ---------- batch_size: list of tuple of str and tuple of int and int num_lstm_layer: int num_hidden: int Returns ------- list of tuple of str and tuple of int and int
[ "Returns", "name", "and", "shape", "of", "init", "states", "of", "LSTM", "network" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ctc/lstm.py#L158-L174
train
Returns name and shape of init states of LSTM network
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b11011 + 0o124) + '\x33' + '\x37' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110010) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100010 + 0o17) + chr(1465 - 1413) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b110000) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11406 - 11295) + chr(1939 - 1888) + chr(50) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + '\x33' + chr(0b110110) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b110000 + 0o77) + chr(51) + '\061' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11275 - 11164) + chr(0b1110 + 0o43) + chr(55) + chr(0b0 + 0o65), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2231 - 2181) + chr(0b11100 + 0o27) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(10058 - 9947) + chr(0b110101) + chr(55), 9818 - 9810), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1993 - 1943) + '\x36' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(52) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1386 - 1338) + '\157' + chr(0b110010) + chr(49) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(54) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x35' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(3511 - 3400) + chr(0b110111) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b101101 + 0o11) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\x35' + chr(55), 41853 - 41845), ehT0Px3KOsy9(chr(506 - 458) + chr(111) + chr(483 - 432) + chr(0b110101) + chr(2221 - 2171), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1711 - 1661) + chr(0b11111 + 0o22) + '\x36', 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(923 - 873) + chr(0b10001 + 0o45) + chr(0b100101 + 0o20), 8), ehT0Px3KOsy9(chr(282 - 234) + chr(0b1100110 + 0o11) + chr(256 - 206) + chr(0b110110) + '\x30', 17553 - 17545), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b10101 + 0o35) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + '\x33' + '\x33' + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\x37' + chr(0b100100 + 0o14), 43358 - 43350), ehT0Px3KOsy9(chr(363 - 315) + chr(0b1101111) + chr(49) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1510 - 1462) + '\157' + '\062' + chr(48) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(53) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(120 - 71) + chr(49) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1054 - 1006) + chr(5656 - 5545) + chr(1853 - 1804) + chr(2302 - 2253), 8396 - 8388), ehT0Px3KOsy9(chr(0b110000) + chr(0b10001 + 0o136) + '\062' + '\060' + chr(662 - 607), 8), ehT0Px3KOsy9(chr(2165 - 2117) + '\x6f' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(0b101101 + 0o12) + '\x31', 19704 - 19696), ehT0Px3KOsy9('\x30' + chr(0b10001 + 0o136) + chr(0b11011 + 0o26) + chr(0b10100 + 0o43) + chr(0b110101), 8), ehT0Px3KOsy9('\060' + chr(10054 - 9943) + '\x36' + '\x31', 25362 - 25354), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\065' + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110111) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11101 + 0o122) + chr(2005 - 1954) + chr(0b110001) + chr(0b11011 + 0o34), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + chr(0b110101) + chr(151 - 103), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5'), '\x64' + '\x65' + '\143' + chr(691 - 580) + chr(0b1100100) + '\x65')(chr(0b1110101) + '\x74' + '\146' + '\x2d' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def veatLGGmwDMB(ix9dZyeAmUxY, zB7O9087wNzD, ErqkiO20_RGX): CDem9Nsq3duk = [(xafqLlk3kkUe(SXOLrMavuUCe(b'\x97v\x07\x1c\xbf\x9b\xa6\tD\xfe'), chr(7912 - 7812) + chr(9413 - 9312) + '\x63' + chr(0b1101111) + chr(0b100111 + 0o75) + chr(5935 - 5834))(chr(117) + chr(116) + chr(102) + chr(0b1110 + 0o37) + chr(0b101110 + 0o12)) % aLoH_Mt0dzwO, (ix9dZyeAmUxY, ErqkiO20_RGX)) for aLoH_Mt0dzwO in vQr8gNKaIaWE(zB7O9087wNzD)] noBjVAdiYI98 = [(xafqLlk3kkUe(SXOLrMavuUCe(b'\x97v\x07\x1c\xbf\x9b\xa6\tD\xf5'), chr(100) + '\145' + chr(4822 - 4723) + '\x6f' + chr(100) + chr(0b10100 + 0o121))(chr(117) + '\164' + chr(0b1100110) + chr(0b110 + 0o47) + chr(0b111000)) % aLoH_Mt0dzwO, (ix9dZyeAmUxY, ErqkiO20_RGX)) for aLoH_Mt0dzwO in vQr8gNKaIaWE(zB7O9087wNzD)] return CDem9Nsq3duk + noBjVAdiYI98
apache/incubator-mxnet
python/mxnet/_ctypes/ndarray.py
_imperative_invoke
def _imperative_invoke(handle, ndargs, keys, vals, out): """ctypes implementation of imperative invoke wrapper""" if out is not None: original_output = out if isinstance(out, NDArrayBase): out = (out,) num_output = ctypes.c_int(len(out)) output_vars = c_handle_array(out) output_vars = ctypes.cast(output_vars, ctypes.POINTER(NDArrayHandle)) else: original_output = None output_vars = ctypes.POINTER(NDArrayHandle)() num_output = ctypes.c_int(0) # return output stypes to avoid the c_api call for checking # a handle's stype in _ndarray_cls out_stypes = ctypes.POINTER(ctypes.c_int)() check_call(_LIB.MXImperativeInvokeEx( ctypes.c_void_p(handle), ctypes.c_int(len(ndargs)), c_handle_array(ndargs), ctypes.byref(num_output), ctypes.byref(output_vars), ctypes.c_int(len(keys)), c_str_array(keys), c_str_array([str(s) for s in vals]), ctypes.byref(out_stypes))) if original_output is not None: return original_output if num_output.value == 1: return _ndarray_cls(ctypes.cast(output_vars[0], NDArrayHandle), stype=out_stypes[0]) else: return [_ndarray_cls(ctypes.cast(output_vars[i], NDArrayHandle), stype=out_stypes[i]) for i in range(num_output.value)]
python
def _imperative_invoke(handle, ndargs, keys, vals, out): """ctypes implementation of imperative invoke wrapper""" if out is not None: original_output = out if isinstance(out, NDArrayBase): out = (out,) num_output = ctypes.c_int(len(out)) output_vars = c_handle_array(out) output_vars = ctypes.cast(output_vars, ctypes.POINTER(NDArrayHandle)) else: original_output = None output_vars = ctypes.POINTER(NDArrayHandle)() num_output = ctypes.c_int(0) # return output stypes to avoid the c_api call for checking # a handle's stype in _ndarray_cls out_stypes = ctypes.POINTER(ctypes.c_int)() check_call(_LIB.MXImperativeInvokeEx( ctypes.c_void_p(handle), ctypes.c_int(len(ndargs)), c_handle_array(ndargs), ctypes.byref(num_output), ctypes.byref(output_vars), ctypes.c_int(len(keys)), c_str_array(keys), c_str_array([str(s) for s in vals]), ctypes.byref(out_stypes))) if original_output is not None: return original_output if num_output.value == 1: return _ndarray_cls(ctypes.cast(output_vars[0], NDArrayHandle), stype=out_stypes[0]) else: return [_ndarray_cls(ctypes.cast(output_vars[i], NDArrayHandle), stype=out_stypes[i]) for i in range(num_output.value)]
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ctypes implementation of imperative invoke wrapper
[ "ctypes", "implementation", "of", "imperative", "invoke", "wrapper" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/_ctypes/ndarray.py#L65-L102
train
ctypes implementation of imperative invoke wrapper.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(4039 - 3928) + chr(50) + chr(0b10111 + 0o34) + chr(0b1111 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2510 - 2459) + chr(0b110010) + chr(876 - 821), 27753 - 27745), ehT0Px3KOsy9(chr(1500 - 1452) + chr(2859 - 2748) + chr(0b110010) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3520 - 3409) + '\067', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(4826 - 4715) + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(1714 - 1662) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1101 + 0o44) + chr(0b101101 + 0o4) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(7208 - 7097) + '\x32' + '\062' + chr(48), 21294 - 21286), ehT0Px3KOsy9(chr(48) + chr(0b11100 + 0o123) + chr(1423 - 1374) + '\x35' + chr(1553 - 1505), 0b1000), ehT0Px3KOsy9(chr(1706 - 1658) + chr(11439 - 11328) + '\x33' + chr(1231 - 1183), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(1638 - 1589) + chr(0b110110), 49282 - 49274), ehT0Px3KOsy9(chr(1475 - 1427) + chr(111) + chr(51) + chr(53) + chr(795 - 747), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b101011 + 0o104) + '\x33' + '\066' + chr(0b10011 + 0o40), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101001 + 0o11) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(50) + '\x31' + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x37', 8), ehT0Px3KOsy9(chr(1816 - 1768) + chr(0b1101111) + chr(0b110011) + chr(0b110001), 1222 - 1214), ehT0Px3KOsy9('\060' + chr(9012 - 8901) + chr(451 - 400) + chr(0b110011) + chr(0b10010 + 0o41), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\064' + chr(0b10101 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b10111 + 0o33) + '\x35' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6676 - 6565) + '\062' + chr(48) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(558 - 508) + '\x35', 0b1000), ehT0Px3KOsy9(chr(2276 - 2228) + chr(111) + chr(0b110001) + chr(0b110011) + '\x31', 9159 - 9151), ehT0Px3KOsy9(chr(798 - 750) + chr(0b101100 + 0o103) + chr(0b1101 + 0o46) + '\062' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101000 + 0o7) + '\061' + chr(1728 - 1677) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(7316 - 7205) + '\061' + chr(0b10101 + 0o40) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110110) + chr(308 - 257), 41853 - 41845), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1101 + 0o45) + chr(0b10011 + 0o42) + chr(55), 8), ehT0Px3KOsy9('\060' + chr(4797 - 4686) + '\x36' + chr(847 - 793), 64705 - 64697), ehT0Px3KOsy9(chr(1399 - 1351) + chr(12064 - 11953) + chr(716 - 667) + chr(511 - 459) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110001) + '\x37', 55034 - 55026), ehT0Px3KOsy9(chr(360 - 312) + '\x6f' + '\062' + chr(0b110010) + chr(779 - 727), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b100111 + 0o12) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + chr(2302 - 2252) + '\065', 8), ehT0Px3KOsy9(chr(284 - 236) + '\x6f' + chr(53) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9438 - 9327) + chr(0b11110 + 0o25) + chr(48) + chr(2417 - 2366), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(50) + chr(48) + '\066', 8), ehT0Px3KOsy9(chr(1487 - 1439) + '\x6f' + chr(51) + chr(0b11100 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(4743 - 4632) + chr(0b110010) + chr(322 - 269) + chr(0b100111 + 0o17), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b100000 + 0o22) + chr(280 - 232), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(793 - 740) + chr(0b110000 + 0o0), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6'), chr(809 - 709) + '\145' + chr(0b110 + 0o135) + chr(111) + '\x64' + chr(0b1001101 + 0o30))(chr(0b11101 + 0o130) + chr(0b1110100) + chr(0b111010 + 0o54) + '\055' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def j9Xskmqrw99_(SxTuMqFZdzZx, n6GuDvWb95Jg, w8H8C9ec5BO1, ipy0WJZo1Oft, UkrMp_I0RDmo): if UkrMp_I0RDmo is not None: QLupKI6qHdM5 = UkrMp_I0RDmo if PlSM16l2KDPD(UkrMp_I0RDmo, tpTsIBW7H1qe): UkrMp_I0RDmo = (UkrMp_I0RDmo,) dN__BKZG1snO = RyQ4N1viUrfz.c_int(c2A0yzQpDQB3(UkrMp_I0RDmo)) L9DJgt1YYht5 = a5DvL4JgWdMi(UkrMp_I0RDmo) L9DJgt1YYht5 = RyQ4N1viUrfz.cast(L9DJgt1YYht5, RyQ4N1viUrfz.POINTER(v4apgis0SrXp)) else: QLupKI6qHdM5 = None L9DJgt1YYht5 = RyQ4N1viUrfz.POINTER(v4apgis0SrXp)() dN__BKZG1snO = RyQ4N1viUrfz.c_int(ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1100110 + 0o11) + '\060', ord("\x08"))) AaOasniMFhoi = RyQ4N1viUrfz.POINTER(RyQ4N1viUrfz.c_int)() VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x8f\\jq\xc2?\xf1\x1cq\xf8\x8d\xbay\xffhr\xbe\xe4\xd7'), chr(0b1100100) + chr(0b111101 + 0o50) + chr(6890 - 6791) + '\x6f' + chr(0b1100100) + chr(2313 - 2212))(chr(0b1110010 + 0o3) + '\x74' + chr(4676 - 4574) + '\x2d' + '\x38'))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\x88chh\xc3\x12\xe0'), chr(100) + chr(101) + chr(99) + chr(0b11011 + 0o124) + chr(0b1100100) + '\145')('\165' + chr(116) + '\x66' + chr(45) + chr(56)))(SxTuMqFZdzZx), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\x88|iu'), chr(0b101 + 0o137) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(1097 - 1041)))(c2A0yzQpDQB3(n6GuDvWb95Jg)), a5DvL4JgWdMi(n6GuDvWb95Jg), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xaegbg'), chr(0b11101 + 0o107) + chr(7952 - 7851) + chr(5434 - 5335) + chr(3833 - 3722) + '\x64' + '\145')(chr(10188 - 10071) + '\x74' + '\146' + chr(0b101101) + chr(0b111000)))(dN__BKZG1snO), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xaegbg'), chr(0b111100 + 0o50) + '\145' + chr(99) + '\x6f' + chr(6065 - 5965) + '\x65')('\x75' + chr(0b1110100) + chr(0b1100110) + '\055' + '\070'))(L9DJgt1YYht5), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\x88|iu'), chr(2552 - 2452) + chr(0b1011000 + 0o15) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(173 - 57) + chr(6533 - 6431) + chr(0b1000 + 0o45) + chr(2427 - 2371)))(c2A0yzQpDQB3(w8H8C9ec5BO1)), Ukszo3_Jz5eC(w8H8C9ec5BO1), Ukszo3_Jz5eC([M8_cKLkHVB2V(vGrByMSYMp9h) for vGrByMSYMp9h in ipy0WJZo1Oft]), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xaegbg'), '\144' + chr(101) + chr(0b100 + 0o137) + chr(111) + chr(0b1100100) + chr(101))('\x75' + chr(0b10 + 0o162) + chr(102) + chr(0b10001 + 0o34) + chr(0b1110 + 0o52)))(AaOasniMFhoi))) if QLupKI6qHdM5 is not None: return QLupKI6qHdM5 if xafqLlk3kkUe(dN__BKZG1snO, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xbax`V\xf2\x0f\xa1[N\xcd\xa2'), chr(0b1100100) + chr(101) + chr(0b111001 + 0o52) + chr(0b1101111) + chr(6813 - 6713) + chr(0b1100101))(chr(0b1011100 + 0o31) + '\x74' + chr(102) + chr(45) + chr(0b1110 + 0o52))) == ehT0Px3KOsy9(chr(1366 - 1318) + chr(0b1011101 + 0o22) + chr(0b110001), 8): return i7ArCBVUNQA5(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xb6fs'), chr(5365 - 5265) + '\145' + chr(99) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(528 - 412) + '\146' + chr(0b101101) + '\070'))(L9DJgt1YYht5[ehT0Px3KOsy9(chr(93 - 45) + '\x6f' + chr(0b110 + 0o52), 8)], v4apgis0SrXp), stype=AaOasniMFhoi[ehT0Px3KOsy9(chr(48) + '\157' + '\060', 8)]) else: return [i7ArCBVUNQA5(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xb6fs'), '\144' + chr(6489 - 6388) + chr(0b101110 + 0o65) + chr(111) + chr(100) + '\145')(chr(0b1001101 + 0o50) + chr(10516 - 10400) + '\146' + chr(45) + chr(56)))(L9DJgt1YYht5[WVxHKyX45z_L], v4apgis0SrXp), stype=AaOasniMFhoi[WVxHKyX45z_L]) for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(dN__BKZG1snO, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xbax`V\xf2\x0f\xa1[N\xcd\xa2'), '\144' + '\145' + chr(0b100110 + 0o75) + chr(4608 - 4497) + '\144' + '\x65')(chr(117) + '\164' + chr(0b1100110) + chr(45) + chr(0b111000))))]
apache/incubator-mxnet
python/mxnet/contrib/autograd.py
set_is_training
def set_is_training(is_train): """Set status to training/not training. When training, graph will be constructed for gradient computation. Operators will also run with ctx.is_train=True. For example, Dropout will drop inputs randomly when is_train=True while simply passing through if is_train=False. Parameters ---------- is_train: bool Returns ------- previous state before this set. """ prev = ctypes.c_int() check_call(_LIB.MXAutogradSetIsTraining( ctypes.c_int(is_train), ctypes.byref(prev))) check_call(_LIB.MXAutogradSetIsRecording( ctypes.c_int(is_train), ctypes.byref(prev))) return bool(prev.value)
python
def set_is_training(is_train): """Set status to training/not training. When training, graph will be constructed for gradient computation. Operators will also run with ctx.is_train=True. For example, Dropout will drop inputs randomly when is_train=True while simply passing through if is_train=False. Parameters ---------- is_train: bool Returns ------- previous state before this set. """ prev = ctypes.c_int() check_call(_LIB.MXAutogradSetIsTraining( ctypes.c_int(is_train), ctypes.byref(prev))) check_call(_LIB.MXAutogradSetIsRecording( ctypes.c_int(is_train), ctypes.byref(prev))) return bool(prev.value)
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Set status to training/not training. When training, graph will be constructed for gradient computation. Operators will also run with ctx.is_train=True. For example, Dropout will drop inputs randomly when is_train=True while simply passing through if is_train=False. Parameters ---------- is_train: bool Returns ------- previous state before this set.
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/autograd.py#L32-L51
train
Sets the status of the to training or not 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('\x30' + '\157' + '\x32' + chr(0b10000 + 0o46) + '\064', 0b1000), ehT0Px3KOsy9(chr(859 - 811) + chr(7671 - 7560) + chr(0b110001) + '\060' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1995 - 1944) + '\x33' + chr(52), 0b1000), ehT0Px3KOsy9(chr(1325 - 1277) + '\x6f' + chr(1309 - 1255) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1561 - 1513) + chr(111) + chr(53) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(54) + chr(0b1001 + 0o53), 28068 - 28060), ehT0Px3KOsy9('\060' + chr(111) + '\064' + '\x30', 2468 - 2460), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\066' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1626 - 1578) + chr(0b1101111) + '\x32' + '\x34', 53691 - 53683), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + chr(0b1000 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(2292 - 2242) + chr(0b110100) + '\060', 45932 - 45924), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(2314 - 2264), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b10110 + 0o33) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(53) + chr(0b110110), 24022 - 24014), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b100000 + 0o23) + '\x33', 0o10), ehT0Px3KOsy9(chr(651 - 603) + '\157' + chr(0b11111 + 0o23) + chr(0b110000) + chr(0b10 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(1542 - 1493) + chr(0b1010 + 0o47) + chr(2377 - 2322), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110000 + 0o77) + '\x32' + chr(0b110100) + chr(0b100011 + 0o22), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2421 - 2371) + chr(53) + chr(2249 - 2197), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(0b110001) + '\066' + chr(0b110100), 8), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(167 - 115), 0b1000), ehT0Px3KOsy9(chr(464 - 416) + chr(111) + chr(0b110011) + '\067' + chr(609 - 556), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(52) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(53), 0b1000), ehT0Px3KOsy9(chr(1408 - 1360) + '\x6f' + '\x31' + chr(0b110101) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6894 - 6783) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(493 - 443) + chr(2679 - 2627) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + chr(0b110110) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\061' + chr(0b101011 + 0o6), 15193 - 15185), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110111) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + chr(0b110000 + 0o1) + chr(0b10 + 0o56) + chr(743 - 688), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3860 - 3749) + '\063' + chr(1265 - 1212) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(2640 - 2529) + '\061' + '\063' + chr(2174 - 2123), ord("\x08")), ehT0Px3KOsy9(chr(720 - 672) + chr(10315 - 10204) + chr(50) + chr(50) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(53) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(299 - 251) + chr(111) + chr(743 - 693) + chr(0b1 + 0o64) + chr(49), 8), ehT0Px3KOsy9('\060' + chr(7703 - 7592) + chr(0b1011 + 0o47) + chr(49) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(1335 - 1283) + chr(0b100111 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b11110 + 0o24) + chr(0b110011) + '\064', 45606 - 45598), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(10684 - 10573) + chr(0b1000 + 0o51) + '\063' + '\067', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + '\065' + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a'), '\x64' + '\145' + '\143' + chr(0b1101111) + chr(0b1000011 + 0o41) + '\145')(chr(117) + '\x74' + '\146' + '\055' + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def QPy_bTtJdIRl(axnxdawmCuz_): RIir6MzmTiCT = RyQ4N1viUrfz.c_int() VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\x1c\x9dB[\x1bG\x85uH\xf3\x7f\xbeg\xa8\xd5=\xc4\xc5\x1ae\x93\xc4'), chr(246 - 146) + chr(0b1100101) + '\x63' + chr(111) + chr(0b1100100) + chr(2539 - 2438))(chr(0b1110101) + chr(6439 - 6323) + chr(0b1100110) + chr(1273 - 1228) + '\070'))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\x1b\xb5Y['), chr(0b1111 + 0o125) + chr(0b1100101) + chr(0b1010010 + 0o21) + '\157' + chr(6223 - 6123) + '\145')('\x75' + chr(9538 - 9422) + '\146' + '\x2d' + chr(179 - 123)))(axnxdawmCuz_), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6=\xaeRI'), chr(9334 - 9234) + chr(101) + '\143' + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1100110 + 0o16) + chr(8419 - 8317) + chr(0b10111 + 0o26) + chr(0b101 + 0o63)))(RIir6MzmTiCT))) VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\x1c\x9dB[\x1bG\x85uH\xf3\x7f\xbeg\xa8\xd3*\xc6\xc3\x06h\x94\xcdr'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\x64' + chr(0b10011 + 0o122))(chr(117) + chr(0b11001 + 0o133) + chr(0b1010101 + 0o21) + chr(45) + chr(0b1 + 0o67)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\x1b\xb5Y['), '\x64' + chr(101) + chr(5019 - 4920) + chr(0b1101111) + chr(0b1100100) + chr(2707 - 2606))(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + '\070'))(axnxdawmCuz_), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6=\xaeRI'), '\144' + '\x65' + chr(99) + chr(130 - 19) + '\144' + '\145')(chr(117) + chr(5099 - 4983) + chr(0b1100110) + chr(45) + chr(1584 - 1528)))(RIir6MzmTiCT))) return WbBjf8Y7v9VN(xafqLlk3kkUe(RIir6MzmTiCT, xafqLlk3kkUe(SXOLrMavuUCe(b"\xe5)\xb1Px!b\xc6'z\xe3P"), chr(100) + chr(0b1010010 + 0o23) + chr(0b1100011) + chr(0b1101111) + chr(5272 - 5172) + chr(101))(chr(0b1011001 + 0o34) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000))))
apache/incubator-mxnet
python/mxnet/contrib/autograd.py
backward
def backward(outputs, out_grads=None, retain_graph=False): """Compute the gradients of outputs w.r.t variables. Parameters ---------- outputs: list of NDArray out_grads: list of NDArray or None """ assert isinstance(outputs, (list, tuple)), \ "outputs must be a list or tuple of NDArrays" if out_grads is None: check_call(_LIB.MXAutogradBackward( len(outputs), c_handle_array(outputs), ctypes.c_void_p(0), ctypes.c_int(retain_graph))) return ograd_handles = [] for arr in out_grads: if arr is not None: ograd_handles.append(arr.handle) else: ograd_handles.append(NDArrayHandle(0)) assert len(ograd_handles) == len(outputs), \ "outputs and out_grads must have the same length" check_call(_LIB.MXAutogradBackward( len(outputs), c_handle_array(outputs), c_array(NDArrayHandle, ograd_handles), ctypes.c_int(retain_graph)))
python
def backward(outputs, out_grads=None, retain_graph=False): """Compute the gradients of outputs w.r.t variables. Parameters ---------- outputs: list of NDArray out_grads: list of NDArray or None """ assert isinstance(outputs, (list, tuple)), \ "outputs must be a list or tuple of NDArrays" if out_grads is None: check_call(_LIB.MXAutogradBackward( len(outputs), c_handle_array(outputs), ctypes.c_void_p(0), ctypes.c_int(retain_graph))) return ograd_handles = [] for arr in out_grads: if arr is not None: ograd_handles.append(arr.handle) else: ograd_handles.append(NDArrayHandle(0)) assert len(ograd_handles) == len(outputs), \ "outputs and out_grads must have the same length" check_call(_LIB.MXAutogradBackward( len(outputs), c_handle_array(outputs), c_array(NDArrayHandle, ograd_handles), ctypes.c_int(retain_graph)))
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Compute the gradients of outputs w.r.t variables. Parameters ---------- outputs: list of NDArray out_grads: list of NDArray or None
[ "Compute", "the", "gradients", "of", "outputs", "w", ".", "r", ".", "t", "variables", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/autograd.py#L123-L155
train
Compute the gradients of outputs w. r. t variables.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1087 - 1039) + chr(0b1111 + 0o140) + chr(680 - 630), 0o10), ehT0Px3KOsy9(chr(80 - 32) + chr(0b1101111) + chr(0b10 + 0o61) + chr(0b1101 + 0o50) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(608 - 497) + chr(429 - 375) + chr(0b110001 + 0o5), 33125 - 33117), ehT0Px3KOsy9(chr(1537 - 1489) + '\157' + chr(51) + '\x37' + '\064', 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(1149 - 1100) + chr(0b11100 + 0o24) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\066' + chr(1554 - 1504), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\067' + chr(642 - 592), 16352 - 16344), ehT0Px3KOsy9(chr(217 - 169) + '\157' + '\063' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100), 3179 - 3171), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\x35' + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + chr(1869 - 1818) + '\x34' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\066' + chr(0b101 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(12308 - 12197) + chr(0b101 + 0o54) + chr(0b100011 + 0o16) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(1375 - 1323) + chr(834 - 779), 23723 - 23715), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + '\060' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + '\063' + '\066' + chr(0b11111 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11001 + 0o30) + '\061' + chr(0b101 + 0o60), 31004 - 30996), ehT0Px3KOsy9('\x30' + chr(2494 - 2383) + chr(1120 - 1069) + '\062' + chr(0b1010 + 0o46), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b110011) + '\x33', 4830 - 4822), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11100 + 0o31) + chr(0b11110 + 0o23), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2282 - 2233) + chr(0b11101 + 0o26) + chr(0b11 + 0o55), 23760 - 23752), ehT0Px3KOsy9('\x30' + chr(0b100 + 0o153) + chr(0b110011) + chr(51) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(211 - 160) + '\060' + chr(1060 - 1008), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + chr(49) + chr(55) + chr(2492 - 2441), 61049 - 61041), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110101) + chr(0b11100 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6341 - 6230) + chr(2343 - 2292) + chr(54) + chr(0b10001 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2078 - 2029) + '\x35' + chr(0b101000 + 0o16), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010111 + 0o30) + chr(0b1101 + 0o44) + '\062' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100011 + 0o17) + chr(1163 - 1111) + chr(999 - 946), 41640 - 41632), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b101111 + 0o3) + chr(2472 - 2422), 0b1000), ehT0Px3KOsy9(chr(664 - 616) + '\x6f' + chr(0b110 + 0o53) + '\x30' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1868 - 1814) + chr(0b110100), 801 - 793), ehT0Px3KOsy9(chr(0b110000) + chr(1819 - 1708) + '\x33' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1010 + 0o51) + chr(583 - 535), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b10010 + 0o40) + chr(1625 - 1573), ord("\x08")), ehT0Px3KOsy9(chr(2230 - 2182) + chr(111) + '\x31' + chr(0b110010) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + chr(0b110010) + chr(0b110110) + chr(0b110101), 26015 - 26007), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(50) + chr(0b11110 + 0o31), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + chr(0b1011 + 0o50) + chr(1355 - 1307) + '\x36', 45137 - 45129), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\x36' + chr(333 - 278), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(11373 - 11262) + '\x35' + chr(0b11111 + 0o21), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b','), chr(8919 - 8819) + '\145' + '\143' + chr(0b1011110 + 0o21) + '\x64' + chr(101))(chr(117) + chr(9035 - 8919) + chr(0b101010 + 0o74) + chr(0b1011 + 0o42) + chr(2478 - 2422)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def NkF4FoEFSIEn(Dx_DllZ8uCko, smjiSYx587nD=None, ippj9U3j8a7A=ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(284 - 236), 0o10)): assert PlSM16l2KDPD(Dx_DllZ8uCko, (YyaZ4tpXu4lf, KNyTy8rYcwji)), xafqLlk3kkUe(SXOLrMavuUCe(b'm\x99B\x8c0\x06\xc99i\xd9\x95\xc5i\xc5#\xd6,\xf07@+\xaf\xe4\x14\x98\xd7\x1a!\xd5>"\x14p~\xb4\x1e\xf1V\xb4\xc5c\x95E'), '\144' + '\145' + chr(99) + '\x6f' + chr(0b1100100) + '\145')(chr(0b1101001 + 0o14) + chr(3582 - 3466) + chr(102) + '\x2d' + '\070') if smjiSYx587nD is None: VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'O\xb4w\x891\x1d\xddke\xc8\xa4\xd0*\xcc1\x97?\xb4'), '\144' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(100) + chr(101))(chr(117) + '\164' + '\146' + '\055' + chr(56)))(c2A0yzQpDQB3(Dx_DllZ8uCko), a5DvL4JgWdMi(Dx_DllZ8uCko), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'a\xb3@\x93,\x16\xe5i'), chr(0b100 + 0o140) + chr(0b11 + 0o142) + '\x63' + chr(111) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b111 + 0o137) + '\055' + '\070'))(ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(48), 8)), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'a\xb3_\x921'), chr(7565 - 7465) + '\145' + '\x63' + '\157' + '\144' + chr(101))('\165' + '\164' + chr(102) + chr(0b1101 + 0o40) + chr(105 - 49)))(ippj9U3j8a7A))) return M1Vam7vmMEcy = [] for ZxkNvNvuRNy5 in smjiSYx587nD: if ZxkNvNvuRNy5 is not None: xafqLlk3kkUe(M1Vam7vmMEcy, xafqLlk3kkUe(SXOLrMavuUCe(b'c\x9cF\x99+\x16'), chr(0b1100100) + '\145' + '\143' + chr(0b1100000 + 0o17) + chr(0b100110 + 0o76) + '\145')('\x75' + chr(3840 - 3724) + '\146' + '\055' + chr(0b10101 + 0o43)))(xafqLlk3kkUe(ZxkNvNvuRNy5, xafqLlk3kkUe(SXOLrMavuUCe(b'Q\x94b\x89\x08\x03\xfcC`\xd6\xbc\xc9'), chr(0b1100100) + chr(0b11101 + 0o110) + chr(0b100111 + 0o74) + '\157' + chr(100) + chr(0b1100101))('\x75' + '\164' + chr(0b1100110) + chr(45) + chr(56)))) else: xafqLlk3kkUe(M1Vam7vmMEcy, xafqLlk3kkUe(SXOLrMavuUCe(b'c\x9cF\x99+\x16'), '\x64' + '\x65' + '\x63' + chr(111) + chr(100) + '\x65')(chr(0b1110101) + '\164' + '\146' + chr(0b101101) + chr(2346 - 2290)))(v4apgis0SrXp(ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1110 + 0o42), 8))) assert c2A0yzQpDQB3(M1Vam7vmMEcy) == c2A0yzQpDQB3(Dx_DllZ8uCko), xafqLlk3kkUe(SXOLrMavuUCe(b'm\x99B\x8c0\x06\xc99e\xc2\x82\x91&\xd22\xa9*\xa2:M+\xfb\xa9\x0e\x99\x83N<\xc4$"\x14kp\xf1p\xc6v\xab\xd2"\x80S\x92"\x06\xd2'), '\144' + chr(6624 - 6523) + chr(0b100010 + 0o101) + chr(111) + '\x64' + chr(101))(chr(117) + '\x74' + chr(4619 - 4517) + '\x2d' + '\070') VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'O\xb4w\x891\x1d\xddke\xc8\xa4\xd0*\xcc1\x97?\xb4'), '\x64' + chr(0b1011111 + 0o6) + '\x63' + chr(2385 - 2274) + '\144' + chr(0b1100101))(chr(4556 - 4439) + chr(0b1001011 + 0o51) + chr(0b1100110) + '\x2d' + chr(56)))(c2A0yzQpDQB3(Dx_DllZ8uCko), a5DvL4JgWdMi(Dx_DllZ8uCko), eGLcYYYr5Dni(v4apgis0SrXp, M1Vam7vmMEcy), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'a\xb3_\x921'), '\144' + '\145' + chr(0b110111 + 0o54) + chr(0b1101111) + '\x64' + '\145')('\165' + chr(0b1001001 + 0o53) + chr(9445 - 9343) + chr(442 - 397) + '\x38'))(ippj9U3j8a7A)))
apache/incubator-mxnet
python/mxnet/contrib/autograd.py
grad_and_loss
def grad_and_loss(func, argnum=None): """Return function that computes both gradient of arguments and loss value. Parameters ---------- func: a python function The forward (loss) function. argnum: an int or a list of int The index of argument to calculate gradient for. Returns ------- grad_and_loss_func: a python function A function that would compute both the gradient of arguments and loss value. """ @functools.wraps(func) def wrapped(*args): """Wrapped function.""" variables = args if argnum is not None: argnum_ = argnum if isinstance(argnum, list) else [argnum] variables = [args[i] for i in argnum_] for x in variables: assert isinstance(x, NDArray), "type of autograd input should NDArray." grads = [zeros_like(x) for x in variables] mark_variables(variables, grads) with train_section(): outputs = func(*args) compute_gradient([outputs] if isinstance(outputs, NDArray) else outputs) return grads, outputs return wrapped
python
def grad_and_loss(func, argnum=None): """Return function that computes both gradient of arguments and loss value. Parameters ---------- func: a python function The forward (loss) function. argnum: an int or a list of int The index of argument to calculate gradient for. Returns ------- grad_and_loss_func: a python function A function that would compute both the gradient of arguments and loss value. """ @functools.wraps(func) def wrapped(*args): """Wrapped function.""" variables = args if argnum is not None: argnum_ = argnum if isinstance(argnum, list) else [argnum] variables = [args[i] for i in argnum_] for x in variables: assert isinstance(x, NDArray), "type of autograd input should NDArray." grads = [zeros_like(x) for x in variables] mark_variables(variables, grads) with train_section(): outputs = func(*args) compute_gradient([outputs] if isinstance(outputs, NDArray) else outputs) return grads, outputs return wrapped
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Return function that computes both gradient of arguments and loss value. Parameters ---------- func: a python function The forward (loss) function. argnum: an int or a list of int The index of argument to calculate gradient for. Returns ------- grad_and_loss_func: a python function A function that would compute both the gradient of arguments and loss value.
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/autograd.py#L163-L193
train
Returns a function that computes both the gradient of arguments and loss value.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1010111 + 0o30) + chr(50) + chr(0b110001) + chr(0b101110 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(1437 - 1326) + chr(391 - 340) + '\064' + chr(0b11 + 0o61), 27 - 19), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x34' + chr(1989 - 1936), 0o10), ehT0Px3KOsy9(chr(276 - 228) + chr(0b1000010 + 0o55) + '\x31' + '\x30' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(4735 - 4624) + chr(472 - 421) + '\x34' + chr(0b101000 + 0o10), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1100101 + 0o12) + chr(49) + chr(69 - 15) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(48) + chr(0b10101 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11100 + 0o26) + chr(0b110111) + chr(0b10100 + 0o37), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + chr(0b10 + 0o61) + chr(0b100111 + 0o16) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b110101) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(2567 - 2515) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x36' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1711 - 1663) + chr(0b10011 + 0o134) + chr(0b1001 + 0o51) + chr(895 - 847) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2383 - 2334) + '\x31' + chr(0b1 + 0o63), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b0 + 0o61) + '\061', 64575 - 64567), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + '\x33' + chr(53) + chr(760 - 705), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b11001 + 0o32) + chr(842 - 794), 0b1000), ehT0Px3KOsy9(chr(448 - 400) + chr(111) + '\x32' + chr(0b110011) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\x36' + chr(1878 - 1827), 29137 - 29129), ehT0Px3KOsy9(chr(48) + chr(9314 - 9203) + chr(0b111 + 0o53) + chr(542 - 492) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11101 + 0o122) + chr(1454 - 1404), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(843 - 792) + chr(0b110100) + '\x34', 8), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\065' + chr(2435 - 2385), 26162 - 26154), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1294 - 1244) + chr(0b11110 + 0o27) + chr(0b1100 + 0o45), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(2815 - 2761), ord("\x08")), ehT0Px3KOsy9(chr(287 - 239) + chr(111) + chr(49) + chr(0b110001) + chr(0b100 + 0o63), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110000 + 0o3) + '\x36' + chr(0b11011 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(1607 - 1559) + chr(7048 - 6937) + chr(0b1001 + 0o50) + chr(0b110010) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010 + 0o145) + chr(51) + chr(0b0 + 0o67) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(2152 - 2104) + chr(6001 - 5890) + '\x31' + chr(0b100010 + 0o17), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110111) + chr(50), 34703 - 34695), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + '\062' + chr(840 - 789), 28998 - 28990), ehT0Px3KOsy9(chr(48) + chr(5494 - 5383) + chr(51) + chr(0b110111), 47495 - 47487), ehT0Px3KOsy9(chr(64 - 16) + '\x6f' + chr(0b10 + 0o61) + '\060' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010010 + 0o35) + '\x31' + chr(50) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(0b110010) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + chr(50) + chr(0b101110 + 0o4) + '\x31', 0o10), ehT0Px3KOsy9(chr(894 - 846) + '\157' + chr(0b110001) + chr(2431 - 2381) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101001 + 0o13) + '\067', 0o10), ehT0Px3KOsy9(chr(925 - 877) + chr(0b1000101 + 0o52) + chr(0b11 + 0o57) + chr(0b110101) + '\x36', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + chr(0b110000 + 0o5) + chr(0b110000), 6899 - 6891)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4'), chr(7999 - 7899) + chr(8832 - 8731) + chr(0b11001 + 0o112) + chr(0b1101111) + chr(100) + chr(2893 - 2792))('\165' + chr(0b1110 + 0o146) + '\x66' + '\x2d' + chr(358 - 302)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def dPQIfUN3YNIL(EzOtJ3kbK5x4, i7mfXdDWQ2gl=None): @xafqLlk3kkUe(E6ula8_Zv1yl, xafqLlk3kkUe(SXOLrMavuUCe(b"\xe9\xb1*$\xad.'\xe2\xda%I\x03"), chr(0b1100100) + '\x65' + '\x63' + '\157' + chr(9400 - 9300) + chr(4682 - 4581))(chr(0b101101 + 0o110) + chr(3029 - 2913) + chr(0b1000010 + 0o44) + '\x2d' + chr(0b111000)))(EzOtJ3kbK5x4) def BoeK7hZPPy4I(*kJDRfRhcZHjS): DaDu8eJMPmzT = kJDRfRhcZHjS if i7mfXdDWQ2gl is not None: tB6dwoviniDA = i7mfXdDWQ2gl if PlSM16l2KDPD(i7mfXdDWQ2gl, YyaZ4tpXu4lf) else [i7mfXdDWQ2gl] DaDu8eJMPmzT = [kJDRfRhcZHjS[WVxHKyX45z_L] for WVxHKyX45z_L in tB6dwoviniDA] for OeWW0F1dBPRQ in DaDu8eJMPmzT: assert PlSM16l2KDPD(OeWW0F1dBPRQ, GdqFjMbtKL7s), xafqLlk3kkUe(SXOLrMavuUCe(b"\xfe\x9d\x15 \xc0\x1b'\x9b\x89\x18R]\xe4>h\x8b\xf8\xf7\xdd\xe7w\x90\x8a\xdan \x829\x98)4W^\xb5&t\xe8\x7f"), chr(0b1011010 + 0o12) + '\x65' + '\143' + '\157' + chr(0b1010111 + 0o15) + chr(0b1100101))('\x75' + '\164' + chr(0b1010100 + 0o22) + chr(45) + chr(0b100010 + 0o26)) W1s0NiRRDIwA = [RLVqQ3ok_i6d(OeWW0F1dBPRQ) for OeWW0F1dBPRQ in DaDu8eJMPmzT] zOQDT6V74z1B(DaDu8eJMPmzT, W1s0NiRRDIwA) with fHOv65PEHYIC(): Dx_DllZ8uCko = EzOtJ3kbK5x4(*kJDRfRhcZHjS) Hnqb9NHtPiLy([Dx_DllZ8uCko] if PlSM16l2KDPD(Dx_DllZ8uCko, GdqFjMbtKL7s) else Dx_DllZ8uCko) return (W1s0NiRRDIwA, Dx_DllZ8uCko) return BoeK7hZPPy4I
apache/incubator-mxnet
python/mxnet/contrib/autograd.py
grad
def grad(func, argnum=None): """Return function that computes gradient of arguments. Parameters ---------- func: a python function The forward (loss) function. argnum: an int or a list of int The index of argument to calculate gradient for. Returns ------- grad_func: a python function A function that would compute the gradient of arguments. Examples -------- >>> # autograd supports dynamic graph which is changed >>> # every instance >>> def func(x): >>> r = random.randint(0, 1) >>> if r % 2: >>> return x**2 >>> else: >>> return x/3 >>> # use `grad(func)` to get the gradient function >>> for x in range(10): >>> grad_func = grad(func) >>> inputs = nd.array([[1, 2, 3], [4, 5, 6]]) >>> grad_vals = grad_func(inputs) """ grad_with_loss_func = grad_and_loss(func, argnum) @functools.wraps(grad_with_loss_func) def wrapped(*args): return grad_with_loss_func(*args)[0] return wrapped
python
def grad(func, argnum=None): """Return function that computes gradient of arguments. Parameters ---------- func: a python function The forward (loss) function. argnum: an int or a list of int The index of argument to calculate gradient for. Returns ------- grad_func: a python function A function that would compute the gradient of arguments. Examples -------- >>> # autograd supports dynamic graph which is changed >>> # every instance >>> def func(x): >>> r = random.randint(0, 1) >>> if r % 2: >>> return x**2 >>> else: >>> return x/3 >>> # use `grad(func)` to get the gradient function >>> for x in range(10): >>> grad_func = grad(func) >>> inputs = nd.array([[1, 2, 3], [4, 5, 6]]) >>> grad_vals = grad_func(inputs) """ grad_with_loss_func = grad_and_loss(func, argnum) @functools.wraps(grad_with_loss_func) def wrapped(*args): return grad_with_loss_func(*args)[0] return wrapped
[ "def", "grad", "(", "func", ",", "argnum", "=", "None", ")", ":", "grad_with_loss_func", "=", "grad_and_loss", "(", "func", ",", "argnum", ")", "@", "functools", ".", "wraps", "(", "grad_with_loss_func", ")", "def", "wrapped", "(", "*", "args", ")", ":", "return", "grad_with_loss_func", "(", "*", "args", ")", "[", "0", "]", "return", "wrapped" ]
Return function that computes gradient of arguments. Parameters ---------- func: a python function The forward (loss) function. argnum: an int or a list of int The index of argument to calculate gradient for. Returns ------- grad_func: a python function A function that would compute the gradient of arguments. Examples -------- >>> # autograd supports dynamic graph which is changed >>> # every instance >>> def func(x): >>> r = random.randint(0, 1) >>> if r % 2: >>> return x**2 >>> else: >>> return x/3 >>> # use `grad(func)` to get the gradient function >>> for x in range(10): >>> grad_func = grad(func) >>> inputs = nd.array([[1, 2, 3], [4, 5, 6]]) >>> grad_vals = grad_func(inputs)
[ "Return", "function", "that", "computes", "gradient", "of", "arguments", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/autograd.py#L195-L230
train
Returns a function that computes the gradient of arguments.
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62780), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + chr(1078 - 1028) + chr(1586 - 1538) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111 + 0o150) + chr(50) + chr(1982 - 1929) + chr(0b100100 + 0o22), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10100 + 0o133) + chr(0b110001) + chr(48) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\x33' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110111) + '\060', 22187 - 22179), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b111 + 0o54) + chr(55) + chr(121 - 72), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(749 - 698) + chr(54) + chr(2661 - 2606), 0o10), ehT0Px3KOsy9(chr(48) + chr(2037 - 1926) + chr(0b1 + 0o60) + '\062' + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(513 - 462) + chr(910 - 860), 54889 - 54881), ehT0Px3KOsy9(chr(0b110000) + chr(8550 - 8439) + chr(0b111 + 0o52) + chr(54) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110011) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(899 - 848) + chr(525 - 473) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x34' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(409 - 361) + chr(111) + chr(49) + chr(0b100100 + 0o17) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10927 - 10816) + chr(1910 - 1857) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100000 + 0o25) + chr(0b110011 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b11010 + 0o125) + chr(50) + chr(0b11011 + 0o33) + chr(0b101011 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(1803 - 1755) + '\x6f' + chr(49) + chr(0b110000) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\x34' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(653 - 605) + chr(111) + chr(53) + '\063', 8), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(10008 - 9897) + chr(793 - 744) + '\x37' + chr(0b101100 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(11204 - 11093) + '\063' + chr(1101 - 1049), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + '\x32' + '\x33' + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\x30' + chr(49), 0o10), ehT0Px3KOsy9(chr(2183 - 2135) + chr(10915 - 10804) + chr(0b100110 + 0o14) + chr(1225 - 1174) + '\x32', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + '\x33' + '\063' + '\x32', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(538 - 489) + chr(1453 - 1405), 0o10), ehT0Px3KOsy9(chr(939 - 891) + chr(111) + chr(0b110011) + '\x30' + '\x34', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(1352 - 1301) + '\x32', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b1001 + 0o53) + chr(202 - 147), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(510 - 459) + chr(0b11000 + 0o35), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b110000) + chr(1957 - 1909), 0o10), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + chr(0b110010) + '\065' + chr(55), 0o10), ehT0Px3KOsy9(chr(2108 - 2060) + '\157' + chr(50) + '\x37' + '\066', 48317 - 48309), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + chr(2953 - 2898) + chr(48), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110101) + chr(1364 - 1316), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x85'), chr(0b1001101 + 0o27) + chr(101) + '\143' + '\157' + chr(3561 - 3461) + chr(101))('\165' + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def RF_2NucJiY7o(EzOtJ3kbK5x4, i7mfXdDWQ2gl=None): W5TVsp3uPisn = dPQIfUN3YNIL(EzOtJ3kbK5x4, i7mfXdDWQ2gl) @xafqLlk3kkUe(E6ula8_Zv1yl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\xad\xcd\xcf\t\x87^\xa0\xc5\x1b\xb5E'), '\144' + chr(0b11 + 0o142) + chr(99) + '\x6f' + '\144' + '\145')(chr(2245 - 2128) + chr(0b100111 + 0o115) + '\146' + '\055' + chr(56)))(W5TVsp3uPisn) def BoeK7hZPPy4I(*kJDRfRhcZHjS): return W5TVsp3uPisn(*kJDRfRhcZHjS)[ehT0Px3KOsy9(chr(48) + '\157' + '\060', 20987 - 20979)] return BoeK7hZPPy4I
apache/incubator-mxnet
python/mxnet/gluon/utils.py
split_data
def split_data(data, num_slice, batch_axis=0, even_split=True): """Splits an NDArray into `num_slice` slices along `batch_axis`. Usually used for data parallelism where each slices is sent to one device (i.e. GPU). Parameters ---------- data : NDArray A batch of data. num_slice : int Number of desired slices. batch_axis : int, default 0 The axis along which to slice. even_split : bool, default True Whether to force all slices to have the same number of elements. If `True`, an error will be raised when `num_slice` does not evenly divide `data.shape[batch_axis]`. Returns ------- list of NDArray Return value is a list even if `num_slice` is 1. """ size = data.shape[batch_axis] if even_split and size % num_slice != 0: raise ValueError( "data with shape %s cannot be evenly split into %d slices along axis %d. " \ "Use a batch size that's multiple of %d or set even_split=False to allow " \ "uneven partitioning of data."%( str(data.shape), num_slice, batch_axis, num_slice)) step = size // num_slice # If size < num_slice, make fewer slices if not even_split and size < num_slice: step = 1 num_slice = size if batch_axis == 0: slices = [data[i*step:(i+1)*step] if i < num_slice - 1 else data[i*step:size] for i in range(num_slice)] elif even_split: slices = ndarray.split(data, num_outputs=num_slice, axis=batch_axis) else: slices = [ndarray.slice_axis(data, batch_axis, i*step, (i+1)*step) if i < num_slice - 1 else ndarray.slice_axis(data, batch_axis, i*step, size) for i in range(num_slice)] return slices
python
def split_data(data, num_slice, batch_axis=0, even_split=True): """Splits an NDArray into `num_slice` slices along `batch_axis`. Usually used for data parallelism where each slices is sent to one device (i.e. GPU). Parameters ---------- data : NDArray A batch of data. num_slice : int Number of desired slices. batch_axis : int, default 0 The axis along which to slice. even_split : bool, default True Whether to force all slices to have the same number of elements. If `True`, an error will be raised when `num_slice` does not evenly divide `data.shape[batch_axis]`. Returns ------- list of NDArray Return value is a list even if `num_slice` is 1. """ size = data.shape[batch_axis] if even_split and size % num_slice != 0: raise ValueError( "data with shape %s cannot be evenly split into %d slices along axis %d. " \ "Use a batch size that's multiple of %d or set even_split=False to allow " \ "uneven partitioning of data."%( str(data.shape), num_slice, batch_axis, num_slice)) step = size // num_slice # If size < num_slice, make fewer slices if not even_split and size < num_slice: step = 1 num_slice = size if batch_axis == 0: slices = [data[i*step:(i+1)*step] if i < num_slice - 1 else data[i*step:size] for i in range(num_slice)] elif even_split: slices = ndarray.split(data, num_outputs=num_slice, axis=batch_axis) else: slices = [ndarray.slice_axis(data, batch_axis, i*step, (i+1)*step) if i < num_slice - 1 else ndarray.slice_axis(data, batch_axis, i*step, size) for i in range(num_slice)] return slices
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Splits an NDArray into `num_slice` slices along `batch_axis`. Usually used for data parallelism where each slices is sent to one device (i.e. GPU). Parameters ---------- data : NDArray A batch of data. num_slice : int Number of desired slices. batch_axis : int, default 0 The axis along which to slice. even_split : bool, default True Whether to force all slices to have the same number of elements. If `True`, an error will be raised when `num_slice` does not evenly divide `data.shape[batch_axis]`. Returns ------- list of NDArray Return value is a list even if `num_slice` is 1.
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/utils.py#L42-L90
train
Splits an NDArray into num_slice slices along batch_axis.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1942 - 1894) + '\157' + '\064' + chr(0b110001), 56525 - 56517), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\064' + chr(1308 - 1253), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\063' + chr(0b10011 + 0o36), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7292 - 7181) + chr(52) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(55) + chr(0b1101 + 0o51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110101 + 0o72) + '\061' + chr(1035 - 980) + chr(0b1000 + 0o57), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2292 - 2242) + '\x37' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(1921 - 1870) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(5312 - 5201) + chr(49) + '\061' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(2558 - 2507) + chr(48) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101101 + 0o6) + chr(54) + chr(877 - 829), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100011 + 0o14) + '\x32' + chr(2637 - 2582) + chr(1845 - 1797), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101110 + 0o5) + chr(182 - 127) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b1110 + 0o45) + chr(0b110101), 60670 - 60662), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x36' + '\063', 53035 - 53027), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(49) + chr(49) + '\x35', 0o10), ehT0Px3KOsy9(chr(2289 - 2241) + chr(12161 - 12050) + chr(733 - 683) + '\063' + chr(0b101000 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(686 - 638) + '\157' + chr(0b1011 + 0o50) + '\066' + chr(509 - 456), 50696 - 50688), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(82 - 33) + chr(0b101110 + 0o5), 0o10), ehT0Px3KOsy9(chr(48) + chr(8585 - 8474) + chr(0b110011) + chr(0b11110 + 0o24) + chr(50), 21893 - 21885), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10100 + 0o35) + chr(0b110011) + chr(0b100101 + 0o22), 0b1000), ehT0Px3KOsy9(chr(1766 - 1718) + '\157' + '\062' + '\x32' + chr(0b110011), 5506 - 5498), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11100 + 0o26) + chr(2157 - 2107) + chr(0b11110 + 0o30), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110011) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(5831 - 5720) + '\x33' + chr(54) + '\065', 8), ehT0Px3KOsy9('\x30' + chr(3691 - 3580) + chr(49) + chr(0b110010) + chr(0b101010 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(51) + chr(0b110000) + '\x32', 24165 - 24157), ehT0Px3KOsy9(chr(48) + chr(2666 - 2555) + chr(0b0 + 0o63) + chr(0b110111) + chr(55), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\064' + chr(2238 - 2183), 45402 - 45394), ehT0Px3KOsy9(chr(48) + '\157' + chr(1914 - 1865) + chr(990 - 942) + '\061', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(55) + chr(2084 - 2031), 2336 - 2328), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110111) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10101 + 0o132) + chr(0b100110 + 0o14) + chr(981 - 932) + chr(2075 - 2022), 47624 - 47616), ehT0Px3KOsy9('\060' + '\157' + chr(0b101110 + 0o5) + '\x34' + chr(55), 8), ehT0Px3KOsy9('\060' + chr(478 - 367) + chr(1960 - 1909) + '\x37' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + chr(0b110001) + chr(397 - 346) + chr(51), 8), ehT0Px3KOsy9(chr(48) + chr(6383 - 6272) + chr(0b110010) + '\061' + '\x32', 7575 - 7567)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(53) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f'), chr(0b100011 + 0o101) + chr(101) + chr(99) + chr(220 - 109) + chr(0b1011111 + 0o5) + '\x65')(chr(117) + chr(0b1011100 + 0o30) + chr(102) + '\x2d' + chr(0b11010 + 0o36)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def xLvFORPRioQw(ULnjp6D6efFH, Vm2h6Fj2xeC_, UTu6yiGiMLv_=ehT0Px3KOsy9(chr(918 - 870) + chr(0b1101111) + chr(0b110000), 0b1000), FZDTYdMVxHdy=ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + chr(0b101101 + 0o4), 25371 - 25363)): NLcc3BCJnQka = ULnjp6D6efFH.nauYfLglTpcb[UTu6yiGiMLv_] if FZDTYdMVxHdy and NLcc3BCJnQka % Vm2h6Fj2xeC_ != ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + chr(956 - 908), 8): raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b"E\x06mA^\x08\xd1/'\xe5\x83\xd0\x9e-Vm\xbe\x86+\xb1>\xfdi\xf9\xae\xd57\xa7\xdfu\x91$SU{\xad\x94\x8d7\xe3UGpN\n\x10\x98~+\xe5\x83\xd4\x96>V>\xbb\x94g\xbd1\xf4'\xf7\xa2\x9c&\xe2\xdat\xc9ahJg\xad\x86\xdd9\xebU\x04q\x00\r\x16\xc2>o\xb1\x98\xd9\x8bz@m\xf6\x80g\xa66\xe3k\xf3\xfa\x9a3\xe2\xdat\xc7.O\x19q\xe8\x93\xdd>\xfcD\tFS\x0e\x13\xd1/r\x83\x91\xd4\x8c8\x139\xf4\xd5j\xbe3\xfcp\xb6\xaf\x9b0\xb4\x9a~\xc71\\Kv\xe4\x93\x944\xe4H\t~\x00\x11\x19\x98?.\xb1\x91\x96"), chr(100) + chr(0b111110 + 0o47) + chr(0b100001 + 0o102) + chr(0b10001 + 0o136) + chr(7004 - 6904) + '\145')(chr(117) + chr(116) + chr(2313 - 2211) + '\055' + chr(621 - 565)) % (M8_cKLkHVB2V(xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'O\x06ly\x183\xdf7\x1b\xb5\x93\xda'), chr(100) + chr(101) + chr(0b1100011) + chr(3516 - 3405) + '\144' + chr(8825 - 8724))('\165' + '\164' + '\146' + '\x2d' + '\070'))), Vm2h6Fj2xeC_, UTu6yiGiMLv_, Vm2h6Fj2xeC_)) kDuFsAhEatcU = NLcc3BCJnQka // Vm2h6Fj2xeC_ if not FZDTYdMVxHdy and NLcc3BCJnQka < Vm2h6Fj2xeC_: kDuFsAhEatcU = ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + chr(1962 - 1913), 8) Vm2h6Fj2xeC_ = NLcc3BCJnQka if UTu6yiGiMLv_ == ehT0Px3KOsy9('\x30' + '\x6f' + chr(1959 - 1911), 8): Zq3flgDm59kp = [ULnjp6D6efFH[WVxHKyX45z_L * kDuFsAhEatcU:(WVxHKyX45z_L + ehT0Px3KOsy9(chr(1773 - 1725) + chr(2562 - 2451) + chr(0b110001), 8)) * kDuFsAhEatcU] if WVxHKyX45z_L < Vm2h6Fj2xeC_ - ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + '\061', 8) else ULnjp6D6efFH[WVxHKyX45z_L * kDuFsAhEatcU:NLcc3BCJnQka] for WVxHKyX45z_L in vQr8gNKaIaWE(Vm2h6Fj2xeC_)] elif FZDTYdMVxHdy: Zq3flgDm59kp = VtU1DncglWAm.split(ULnjp6D6efFH, num_outputs=Vm2h6Fj2xeC_, axis=UTu6yiGiMLv_) else: Zq3flgDm59kp = [VtU1DncglWAm.slice_axis(ULnjp6D6efFH, UTu6yiGiMLv_, WVxHKyX45z_L * kDuFsAhEatcU, (WVxHKyX45z_L + ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31', 8)) * kDuFsAhEatcU) if WVxHKyX45z_L < Vm2h6Fj2xeC_ - ehT0Px3KOsy9('\x30' + '\157' + '\x31', 8) else VtU1DncglWAm.slice_axis(ULnjp6D6efFH, UTu6yiGiMLv_, WVxHKyX45z_L * kDuFsAhEatcU, NLcc3BCJnQka) for WVxHKyX45z_L in vQr8gNKaIaWE(Vm2h6Fj2xeC_)] return Zq3flgDm59kp
apache/incubator-mxnet
python/mxnet/gluon/utils.py
split_and_load
def split_and_load(data, ctx_list, batch_axis=0, even_split=True): """Splits an NDArray into `len(ctx_list)` slices along `batch_axis` and loads each slice to one context in `ctx_list`. Parameters ---------- data : NDArray A batch of data. ctx_list : list of Context A list of Contexts. batch_axis : int, default 0 The axis along which to slice. even_split : bool, default True Whether to force all slices to have the same number of elements. Returns ------- list of NDArray Each corresponds to a context in `ctx_list`. """ if not isinstance(data, ndarray.NDArray): data = ndarray.array(data, ctx=ctx_list[0]) if len(ctx_list) == 1: return [data.as_in_context(ctx_list[0])] slices = split_data(data, len(ctx_list), batch_axis, even_split) return [i.as_in_context(ctx) for i, ctx in zip(slices, ctx_list)]
python
def split_and_load(data, ctx_list, batch_axis=0, even_split=True): """Splits an NDArray into `len(ctx_list)` slices along `batch_axis` and loads each slice to one context in `ctx_list`. Parameters ---------- data : NDArray A batch of data. ctx_list : list of Context A list of Contexts. batch_axis : int, default 0 The axis along which to slice. even_split : bool, default True Whether to force all slices to have the same number of elements. Returns ------- list of NDArray Each corresponds to a context in `ctx_list`. """ if not isinstance(data, ndarray.NDArray): data = ndarray.array(data, ctx=ctx_list[0]) if len(ctx_list) == 1: return [data.as_in_context(ctx_list[0])] slices = split_data(data, len(ctx_list), batch_axis, even_split) return [i.as_in_context(ctx) for i, ctx in zip(slices, ctx_list)]
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Splits an NDArray into `len(ctx_list)` slices along `batch_axis` and loads each slice to one context in `ctx_list`. Parameters ---------- data : NDArray A batch of data. ctx_list : list of Context A list of Contexts. batch_axis : int, default 0 The axis along which to slice. even_split : bool, default True Whether to force all slices to have the same number of elements. Returns ------- list of NDArray Each corresponds to a context in `ctx_list`.
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/utils.py#L93-L119
train
Splits an NDArray into len ( ctx_list ) along batch_axis and loads each slice to one context in ctx_list.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11101 + 0o25) + '\x32' + chr(1206 - 1155), 9653 - 9645), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(1727 - 1673) + chr(0b11000 + 0o34), 62334 - 62326), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\x32' + chr(2287 - 2239) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(52) + '\x30', 53096 - 53088), ehT0Px3KOsy9('\x30' + chr(9570 - 9459) + chr(1563 - 1514), 23562 - 23554), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1000010 + 0o55) + '\062' + '\062' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(6981 - 6870) + chr(0b110001) + chr(2343 - 2292) + chr(54), 62499 - 62491), ehT0Px3KOsy9(chr(0b110000) + chr(6712 - 6601) + chr(51) + '\064' + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\x37' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110000) + '\x33', 7426 - 7418), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + chr(1505 - 1452) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1804 - 1756) + chr(11291 - 11180) + chr(0b110011) + chr(0b110101) + chr(0b10 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + chr(1018 - 969) + chr(51) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(50) + chr(723 - 675), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1000 + 0o55) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b10010 + 0o45) + chr(0b1101 + 0o43), 41936 - 41928), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(518 - 465) + chr(0b100010 + 0o21), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\x32' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b110001) + '\065' + chr(301 - 249), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b10011 + 0o36), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(732 - 677) + '\x37', 13815 - 13807), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + chr(0b10100 + 0o36) + chr(0b110001) + chr(655 - 601), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(1286 - 1231) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x34' + chr(0b110 + 0o56), 21743 - 21735), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1000111 + 0o50) + chr(0b110011 + 0o4) + chr(1526 - 1473), ord("\x08")), ehT0Px3KOsy9(chr(119 - 71) + chr(10539 - 10428) + chr(0b110010) + chr(0b110001) + chr(1970 - 1922), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + '\x35', 8), ehT0Px3KOsy9('\x30' + chr(5682 - 5571) + '\062' + chr(0b100011 + 0o15) + chr(1778 - 1725), 8), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1000110 + 0o51) + chr(0b11 + 0o56) + '\061' + chr(0b110 + 0o57), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(226 - 176) + chr(52) + chr(0b101001 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(1994 - 1946) + chr(10032 - 9921) + '\061' + chr(938 - 888) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + '\063' + '\x36' + chr(0b1011 + 0o53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1651 - 1602) + chr(48) + chr(1522 - 1472), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4901 - 4790) + '\x32' + chr(0b100101 + 0o13) + '\065', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + '\063' + chr(49), 39922 - 39914), ehT0Px3KOsy9(chr(796 - 748) + '\x6f' + '\066' + '\067', 19921 - 19913), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\065' + chr(505 - 452), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11 + 0o56) + chr(50) + chr(2359 - 2304), 0b1000), ehT0Px3KOsy9(chr(1863 - 1815) + chr(0b1101111) + '\x31' + '\060' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101011 + 0o4) + '\062' + chr(368 - 318), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(0b110101) + '\060', 36391 - 36383)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd'), '\x64' + chr(101) + chr(0b1100011) + '\x6f' + chr(100) + chr(101))(chr(0b1110101) + chr(13406 - 13290) + '\146' + chr(1223 - 1178) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def jp_py6UqUN0W(ULnjp6D6efFH, cwtH5topcaLc, UTu6yiGiMLv_=ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(48), ord("\x08")), FZDTYdMVxHdy=ehT0Px3KOsy9('\060' + '\157' + '\061', 8)): if not PlSM16l2KDPD(ULnjp6D6efFH, xafqLlk3kkUe(VtU1DncglWAm, xafqLlk3kkUe(SXOLrMavuUCe(b"\xdd0\xc4Rs\xf7'"), chr(100) + chr(0b10101 + 0o120) + chr(454 - 355) + '\x6f' + chr(6024 - 5924) + chr(0b11101 + 0o110))(chr(0b1011010 + 0o33) + '\164' + chr(102) + chr(0b1010 + 0o43) + chr(724 - 668)))): ULnjp6D6efFH = VtU1DncglWAm.B0ePDhpqxN5n(ULnjp6D6efFH, ctx=cwtH5topcaLc[ehT0Px3KOsy9('\060' + chr(0b111110 + 0o61) + '\060', 8)]) if c2A0yzQpDQB3(cwtH5topcaLc) == ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', 8): return [xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x07\xdaIo\xc9=\x8f\xd3\xf7O\x93/'), chr(0b1100100) + chr(101) + '\x63' + '\x6f' + chr(100) + chr(1342 - 1241))('\165' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(56)))(cwtH5topcaLc[ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 8)])] Zq3flgDm59kp = xLvFORPRioQw(ULnjp6D6efFH, c2A0yzQpDQB3(cwtH5topcaLc), UTu6yiGiMLv_, FZDTYdMVxHdy) return [xafqLlk3kkUe(WVxHKyX45z_L, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x07\xdaIo\xc9=\x8f\xd3\xf7O\x93/'), chr(100) + chr(101) + '\143' + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1001000 + 0o55) + '\x74' + chr(0b1100110) + chr(0b111 + 0o46) + chr(0b111000)))(oM3jLo753XfX) for (WVxHKyX45z_L, oM3jLo753XfX) in pZ0NK2y6HRbn(Zq3flgDm59kp, cwtH5topcaLc)]
apache/incubator-mxnet
python/mxnet/gluon/utils.py
clip_global_norm
def clip_global_norm(arrays, max_norm, check_isfinite=True): """Rescales NDArrays so that the sum of their 2-norm is smaller than `max_norm`. Parameters ---------- arrays : list of NDArray max_norm : float check_isfinite : bool, default True If True, check that the total_norm is finite (not nan or inf). This requires a blocking .asscalar() call. Returns ------- NDArray or float Total norm. Return type is NDArray of shape (1,) if check_isfinite is False. Otherwise a float is returned. """ def _norm(array): if array.stype == 'default': x = array.reshape((-1,)) return ndarray.dot(x, x) return array.norm().square() assert len(arrays) > 0 ctx = arrays[0].context total_norm = ndarray.add_n(*[_norm(arr).as_in_context(ctx) for arr in arrays]) total_norm = ndarray.sqrt(total_norm) if check_isfinite: if not np.isfinite(total_norm.asscalar()): warnings.warn( UserWarning('nan or inf is detected. ' 'Clipping results will be undefined.'), stacklevel=2) scale = max_norm / (total_norm + 1e-8) scale = ndarray.min(ndarray.concat(scale, ndarray.ones(1, ctx=ctx), dim=0)) for arr in arrays: arr *= scale.as_in_context(arr.context) if check_isfinite: return total_norm.asscalar() else: return total_norm
python
def clip_global_norm(arrays, max_norm, check_isfinite=True): """Rescales NDArrays so that the sum of their 2-norm is smaller than `max_norm`. Parameters ---------- arrays : list of NDArray max_norm : float check_isfinite : bool, default True If True, check that the total_norm is finite (not nan or inf). This requires a blocking .asscalar() call. Returns ------- NDArray or float Total norm. Return type is NDArray of shape (1,) if check_isfinite is False. Otherwise a float is returned. """ def _norm(array): if array.stype == 'default': x = array.reshape((-1,)) return ndarray.dot(x, x) return array.norm().square() assert len(arrays) > 0 ctx = arrays[0].context total_norm = ndarray.add_n(*[_norm(arr).as_in_context(ctx) for arr in arrays]) total_norm = ndarray.sqrt(total_norm) if check_isfinite: if not np.isfinite(total_norm.asscalar()): warnings.warn( UserWarning('nan or inf is detected. ' 'Clipping results will be undefined.'), stacklevel=2) scale = max_norm / (total_norm + 1e-8) scale = ndarray.min(ndarray.concat(scale, ndarray.ones(1, ctx=ctx), dim=0)) for arr in arrays: arr *= scale.as_in_context(arr.context) if check_isfinite: return total_norm.asscalar() else: return total_norm
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Rescales NDArrays so that the sum of their 2-norm is smaller than `max_norm`. Parameters ---------- arrays : list of NDArray max_norm : float check_isfinite : bool, default True If True, check that the total_norm is finite (not nan or inf). This requires a blocking .asscalar() call. Returns ------- NDArray or float Total norm. Return type is NDArray of shape (1,) if check_isfinite is False. Otherwise a float is returned.
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/utils.py#L122-L161
train
Rescales NDArrays so that the sum of their 2 - norm is smaller than max_norm.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101100 + 0o5) + '\x31' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11111 + 0o26) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(705 - 655) + chr(0b11111 + 0o24) + chr(51), 60394 - 60386), ehT0Px3KOsy9(chr(2076 - 2028) + chr(0b1101111) + chr(1687 - 1637) + chr(0b110101) + chr(1657 - 1608), 44932 - 44924), ehT0Px3KOsy9('\060' + chr(2547 - 2436) + chr(644 - 594) + '\x33' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11111 + 0o120) + chr(0b110010) + chr(0b110001 + 0o1) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(4352 - 4241) + chr(0b10000 + 0o41) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4346 - 4235) + chr(49) + chr(49) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110 + 0o151) + '\061' + '\x36' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b0 + 0o63) + chr(49) + '\060', 35270 - 35262), ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + chr(0b110001 + 0o1) + chr(54) + chr(54), 0o10), ehT0Px3KOsy9(chr(196 - 148) + chr(0b1101111) + chr(0b110101) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\x33' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000011 + 0o54) + chr(52) + chr(0b1100 + 0o46), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101111 + 0o2), 0o10), ehT0Px3KOsy9(chr(1233 - 1185) + chr(0b1101111) + chr(0b110101) + chr(53), 42197 - 42189), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(48) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(53) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(4738 - 4627) + '\064' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(10866 - 10755) + chr(0b100110 + 0o14) + chr(48) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(54) + chr(1072 - 1020), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1646 - 1597), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b101000 + 0o15) + chr(292 - 237), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(422 - 371) + '\x30' + '\060', 26532 - 26524), ehT0Px3KOsy9(chr(907 - 859) + '\157' + chr(0b10100 + 0o36) + chr(54) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100110 + 0o13) + '\x31' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\066' + '\x35', 11443 - 11435), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(48) + '\060', 54940 - 54932), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(887 - 838) + '\063', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b10101 + 0o42) + chr(2547 - 2494), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\064' + chr(486 - 433), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(0b10110 + 0o35) + chr(1805 - 1755) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10386 - 10275) + chr(0b110010) + chr(53) + chr(1968 - 1919), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\064' + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1537 - 1483) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(54) + '\x36', 31959 - 31951), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001101 + 0o42) + '\061' + chr(0b11010 + 0o31) + '\067', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x35' + chr(1600 - 1552), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'e'), chr(0b10101 + 0o117) + chr(0b111110 + 0o47) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def McuQ057tOn42(lmEEfdW_XFlN, LB9bc9dHt6aX, LLwwQPpzJZdt=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), 8)): def iGZR9wUtTSoR(B0ePDhpqxN5n): if xafqLlk3kkUe(B0ePDhpqxN5n, xafqLlk3kkUe(SXOLrMavuUCe(b'8Z\xe2\xd9\xfa'), '\144' + '\x65' + chr(8984 - 8885) + '\x6f' + chr(0b10011 + 0o121) + '\145')('\x75' + '\164' + chr(0b1100110) + chr(0b11111 + 0o16) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'/K\xfd\xc8\xea\xfa}'), chr(1084 - 984) + chr(0b1100101) + '\143' + chr(6261 - 6150) + chr(100) + chr(0b100110 + 0o77))(chr(0b1110101) + chr(0b1110100) + chr(0b100001 + 0o105) + '\x2d' + chr(0b111000)): OeWW0F1dBPRQ = B0ePDhpqxN5n.reshape((-ehT0Px3KOsy9('\x30' + '\x6f' + '\x31', 8),)) return xafqLlk3kkUe(VtU1DncglWAm, xafqLlk3kkUe(SXOLrMavuUCe(b'/A\xef'), chr(100) + '\x65' + chr(99) + '\157' + '\x64' + chr(101))(chr(0b1110101) + chr(116) + chr(4089 - 3987) + '\055' + '\070'))(OeWW0F1dBPRQ, OeWW0F1dBPRQ) return xafqLlk3kkUe(B0ePDhpqxN5n.norm(), xafqLlk3kkUe(SXOLrMavuUCe(b'8_\xee\xc8\xed\xf3'), chr(0b111101 + 0o47) + '\x65' + chr(99) + chr(0b1101111) + chr(2166 - 2066) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(102) + '\x2d' + chr(0b111000)))() assert c2A0yzQpDQB3(lmEEfdW_XFlN) > ehT0Px3KOsy9(chr(0b110000) + chr(0b1000100 + 0o53) + chr(0b100 + 0o54), ord("\x08")) oM3jLo753XfX = lmEEfdW_XFlN[ehT0Px3KOsy9(chr(48) + '\157' + '\x30', 8)].context xPX1Ms9iIBUY = VtU1DncglWAm.add_n(*[iGZR9wUtTSoR(ZxkNvNvuRNy5).as_in_context(oM3jLo753XfX) for ZxkNvNvuRNy5 in lmEEfdW_XFlN]) xPX1Ms9iIBUY = VtU1DncglWAm.sqrt(xPX1Ms9iIBUY) if LLwwQPpzJZdt: if not xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'"]\xfd\xc0\xf1\xff}*'), '\144' + chr(0b1100101) + '\x63' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1010101 + 0o21) + chr(0b10100 + 0o31) + chr(56)))(xafqLlk3kkUe(xPX1Ms9iIBUY, xafqLlk3kkUe(SXOLrMavuUCe(b'*]\xe8\xca\xfe\xfah='), chr(3717 - 3617) + '\x65' + '\143' + chr(111) + chr(0b1000 + 0o134) + chr(4600 - 4499))('\165' + chr(7484 - 7368) + chr(4054 - 3952) + '\055' + '\x38'))()): xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'%j\xde\xc7\xd1\xd4h-7\x86\xfdD'), chr(7889 - 7789) + chr(2766 - 2665) + '\143' + chr(111) + chr(4787 - 4687) + '\145')(chr(117) + '\164' + chr(6453 - 6351) + chr(0b101101) + '\x38'))(hOkXjmluKZfJ(xafqLlk3kkUe(SXOLrMavuUCe(b'%O\xf5\x89\xf0\xe4)&\x1f\xae\x96@m\xffaGuH \x9bA\xe0Z!\xac\xac\xdd8E\xe9%\xda\x05\xa1\xccQC\x1as,kY\xf2\xc5\xf3\xb6k*Q\xbd\xd8M{\xb9lLdIm'), '\144' + chr(0b1000111 + 0o36) + chr(0b1100011) + chr(0b1000111 + 0o50) + chr(5614 - 5514) + chr(1407 - 1306))(chr(0b1110101) + chr(4221 - 4105) + chr(0b1000111 + 0o37) + '\055' + '\070')), stacklevel=ehT0Px3KOsy9(chr(1430 - 1382) + chr(0b100111 + 0o110) + chr(50), 20033 - 20025)) xjPLimsZRgb9 = LB9bc9dHt6aX / (xPX1Ms9iIBUY + 1e-08) xjPLimsZRgb9 = VtU1DncglWAm.Dx22bkKPdt5d(VtU1DncglWAm.concat(xjPLimsZRgb9, VtU1DncglWAm.ones(ehT0Px3KOsy9('\x30' + chr(0b10100 + 0o133) + chr(579 - 530), 8), ctx=oM3jLo753XfX), dim=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x30', 8))) for ZxkNvNvuRNy5 in lmEEfdW_XFlN: ZxkNvNvuRNy5 *= xjPLimsZRgb9.as_in_context(ZxkNvNvuRNy5.context) if LLwwQPpzJZdt: return xafqLlk3kkUe(xPX1Ms9iIBUY, xafqLlk3kkUe(SXOLrMavuUCe(b'*]\xe8\xca\xfe\xfah='), '\144' + chr(0b1000000 + 0o45) + chr(0b1100011) + '\157' + chr(100) + chr(101))(chr(117) + chr(116) + chr(0b100101 + 0o101) + '\055' + chr(1054 - 998)))() else: return xPX1Ms9iIBUY
apache/incubator-mxnet
python/mxnet/gluon/utils.py
_indent
def _indent(s_, numSpaces): """Indent string """ s = s_.split('\n') if len(s) == 1: return s_ first = s.pop(0) s = [first] + [(numSpaces * ' ') + line for line in s] s = '\n'.join(s) return s
python
def _indent(s_, numSpaces): """Indent string """ s = s_.split('\n') if len(s) == 1: return s_ first = s.pop(0) s = [first] + [(numSpaces * ' ') + line for line in s] s = '\n'.join(s) return s
[ "def", "_indent", "(", "s_", ",", "numSpaces", ")", ":", "s", "=", "s_", ".", "split", "(", "'\\n'", ")", "if", "len", "(", "s", ")", "==", "1", ":", "return", "s_", "first", "=", "s", ".", "pop", "(", "0", ")", "s", "=", "[", "first", "]", "+", "[", "(", "numSpaces", "*", "' '", ")", "+", "line", "for", "line", "in", "s", "]", "s", "=", "'\\n'", ".", "join", "(", "s", ")", "return", "s" ]
Indent string
[ "Indent", "string" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/utils.py#L164-L173
train
Indent string s_ by numSpaces
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\061' + chr(48), 57178 - 57170), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101101 + 0o6) + chr(2315 - 2262) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + chr(2482 - 2432) + '\x34' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(806 - 754) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + '\x33' + chr(54) + chr(2227 - 2173), 57209 - 57201), ehT0Px3KOsy9(chr(1786 - 1738) + chr(3134 - 3023) + '\x33' + chr(208 - 159) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(2374 - 2323) + '\062' + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11 + 0o57) + chr(149 - 98) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + '\x32' + chr(51) + chr(0b110010), 59281 - 59273), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110000) + chr(49), 21967 - 21959), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1001011 + 0o44) + chr(1051 - 1002) + '\060' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\066', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b110100) + chr(1712 - 1659), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1873 - 1823) + chr(0b110000) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1741 - 1693) + '\x6f' + chr(1452 - 1402) + chr(638 - 590) + chr(0b1100 + 0o52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110101) + chr(957 - 909), 47974 - 47966), ehT0Px3KOsy9(chr(0b110000) + chr(0b101101 + 0o102) + chr(685 - 636) + chr(0b110010) + chr(0b1100 + 0o44), 43289 - 43281), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(1848 - 1799) + chr(86 - 33) + '\x32', 10368 - 10360), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + chr(0b110111) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11000 + 0o32) + '\063' + chr(1908 - 1854), 8), ehT0Px3KOsy9('\060' + chr(0b11001 + 0o126) + '\x31' + '\064' + chr(0b100 + 0o62), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + '\x35' + chr(660 - 612), 8), ehT0Px3KOsy9(chr(628 - 580) + chr(111) + chr(575 - 525), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b1110 + 0o51) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + '\x37' + '\060', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(662 - 611) + chr(0b110101) + chr(2325 - 2273), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(55) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(5241 - 5130) + chr(51) + '\060' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111000 + 0o67) + chr(51) + chr(623 - 572) + '\x30', 37893 - 37885), ehT0Px3KOsy9('\x30' + chr(12193 - 12082) + chr(51) + chr(0b100111 + 0o20) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(706 - 656) + chr(0b101010 + 0o7) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\x35' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6822 - 6711) + chr(0b101010 + 0o10) + chr(2055 - 2001), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x35' + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111000 + 0o67) + '\061' + chr(0b110001) + '\x30', 8), ehT0Px3KOsy9(chr(166 - 118) + chr(111) + chr(50) + chr(0b100101 + 0o16) + chr(0b1011 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(1173 - 1120) + '\x35', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b110010) + chr(0b110101), 38803 - 38795), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x37' + chr(0b110100), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'f'), chr(100) + chr(0b1100101) + chr(0b0 + 0o143) + chr(0b1001010 + 0o45) + '\144' + chr(3555 - 3454))(chr(0b1110101) + chr(11301 - 11185) + chr(104 - 2) + '\x2d' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def FV2qbJYpCHKt(k1Ept0O8jgYJ, NEQajQTk586A): vGrByMSYMp9h = k1Ept0O8jgYJ.split(xafqLlk3kkUe(SXOLrMavuUCe(b'B'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1010100 + 0o20) + '\x65')('\x75' + '\x74' + '\146' + '\055' + chr(56))) if c2A0yzQpDQB3(vGrByMSYMp9h) == ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), ord("\x08")): return k1Ept0O8jgYJ It1LJs8swHZQ = vGrByMSYMp9h.pop(ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000), 57935 - 57927)) vGrByMSYMp9h = [It1LJs8swHZQ] + [NEQajQTk586A * xafqLlk3kkUe(SXOLrMavuUCe(b'h'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b1001110 + 0o26) + '\145')('\x75' + chr(0b1110100) + chr(102) + '\055' + chr(0b10101 + 0o43)) + LycYkDpyelF6 for LycYkDpyelF6 in vGrByMSYMp9h] vGrByMSYMp9h = xafqLlk3kkUe(SXOLrMavuUCe(b'B'), chr(9889 - 9789) + chr(0b100110 + 0o77) + '\x63' + chr(0b10000 + 0o137) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1000001 + 0o63) + chr(0b1100110) + chr(45) + chr(0b111000))._oWXztVNnqHF(vGrByMSYMp9h) return vGrByMSYMp9h
apache/incubator-mxnet
python/mxnet/gluon/utils.py
check_sha1
def check_sha1(filename, sha1_hash): """Check whether the sha1 hash of the file content matches the expected hash. Parameters ---------- filename : str Path to the file. sha1_hash : str Expected sha1 hash in hexadecimal digits. Returns ------- bool Whether the file content matches the expected hash. """ sha1 = hashlib.sha1() with open(filename, 'rb') as f: while True: data = f.read(1048576) if not data: break sha1.update(data) return sha1.hexdigest() == sha1_hash
python
def check_sha1(filename, sha1_hash): """Check whether the sha1 hash of the file content matches the expected hash. Parameters ---------- filename : str Path to the file. sha1_hash : str Expected sha1 hash in hexadecimal digits. Returns ------- bool Whether the file content matches the expected hash. """ sha1 = hashlib.sha1() with open(filename, 'rb') as f: while True: data = f.read(1048576) if not data: break sha1.update(data) return sha1.hexdigest() == sha1_hash
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Check whether the sha1 hash of the file content matches the expected hash. Parameters ---------- filename : str Path to the file. sha1_hash : str Expected sha1 hash in hexadecimal digits. Returns ------- bool Whether the file content matches the expected hash.
[ "Check", "whether", "the", "sha1", "hash", "of", "the", "file", "content", "matches", "the", "expected", "hash", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/utils.py#L176-L199
train
Checks whether the sha1 hash of the file content matches the expected hash.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b110011) + chr(53) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1233 - 1179) + '\x33', 60364 - 60356), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b1101 + 0o43) + '\060', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\x30' + chr(1655 - 1607), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\063' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b0 + 0o157) + chr(0b110010) + chr(48) + chr(531 - 477), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111011 + 0o64) + '\062' + chr(0b1101 + 0o52) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b110000) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1967 - 1918) + chr(0b1100 + 0o44) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(0b11011 + 0o26) + chr(54) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(8355 - 8244) + '\063' + chr(1769 - 1720) + chr(2165 - 2117), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(0b100111 + 0o13) + chr(0b101001 + 0o10) + chr(1823 - 1770), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(55) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110101 + 0o1) + '\x32', 38774 - 38766), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1056 - 1005) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6673 - 6562) + '\x31' + chr(0b110100) + chr(0b10011 + 0o42), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110100 + 0o1) + chr(0b11011 + 0o34), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000000 + 0o57) + chr(944 - 895) + chr(0b100111 + 0o11) + '\x35', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + chr(0b10100 + 0o35) + '\x35' + chr(0b110000), 40365 - 40357), ehT0Px3KOsy9(chr(864 - 816) + '\x6f' + chr(0b1000 + 0o51) + chr(997 - 947) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1193 - 1138) + chr(2247 - 2196), 0o10), ehT0Px3KOsy9('\060' + chr(0b101100 + 0o103) + '\x32' + '\x31' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(1444 - 1392) + '\x37', 53135 - 53127), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(55) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b101101 + 0o5) + chr(0b1101 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(575 - 527) + '\x6f' + chr(0b100010 + 0o17) + chr(0b11101 + 0o31) + chr(2144 - 2095), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(2163 - 2113) + chr(0b100011 + 0o23) + chr(762 - 710), 31776 - 31768), ehT0Px3KOsy9(chr(0b110000) + chr(0b111 + 0o150) + '\061' + chr(0b1111 + 0o43) + chr(1889 - 1839), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1367 - 1312) + chr(2119 - 2071), 57533 - 57525), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(0b1000 + 0o51) + chr(0b110010 + 0o5) + '\064', 12386 - 12378), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\066' + '\x30', 11326 - 11318), ehT0Px3KOsy9('\060' + chr(111) + chr(721 - 672) + chr(0b101111 + 0o5) + chr(0b11001 + 0o32), 22676 - 22668), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(51) + '\064', 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1100 + 0o143) + '\x34' + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\x31' + chr(0b110110), 782 - 774), ehT0Px3KOsy9('\x30' + chr(111) + chr(878 - 829) + chr(2058 - 2010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110000) + chr(1755 - 1702), 8), ehT0Px3KOsy9(chr(48) + chr(10333 - 10222) + '\x35' + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(879 - 828) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b101111 + 0o6) + chr(2660 - 2608), 46996 - 46988)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(133 - 85) + chr(0b1101111) + '\065' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2'), chr(6595 - 6495) + chr(0b1011011 + 0o12) + '\x63' + chr(0b1001010 + 0o45) + chr(100) + chr(101))(chr(0b1110101) + '\164' + '\x66' + '\055' + chr(0b10111 + 0o41)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def uGaDTSTDc2lw(xw4DsBfIJ22E, TuIZNm23CTVY): MLHJVewvvRHf = sNzNrLIR8V9g.sha1() with _fwkIVCGgtAN(xw4DsBfIJ22E, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9eQ'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(7698 - 7597))('\x75' + '\x74' + chr(0b11100 + 0o112) + chr(0b101101 + 0o0) + '\070')) as EGyt1xfPT1P6: while ehT0Px3KOsy9(chr(0b110000) + chr(5304 - 5193) + '\x31', ord("\x08")): ULnjp6D6efFH = EGyt1xfPT1P6.U6MiWrhuCi2Y(ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + '\x34' + chr(0b110000) + chr(48) + '\060' + '\060' + chr(0b110000) + chr(0b110000), 41298 - 41290)) if not ULnjp6D6efFH: break xafqLlk3kkUe(MLHJVewvvRHf, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6G\x01\x056\xc8\xf4\xaf<F\xad\xbd'), chr(0b1100100) + '\x65' + chr(0b1001011 + 0o30) + chr(111) + '\144' + chr(0b1100101))(chr(117) + '\x74' + '\x66' + chr(45) + chr(56)))(ULnjp6D6efFH) return xafqLlk3kkUe(MLHJVewvvRHf, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84V8$6\xe1\xdb\xb21'), chr(0b110010 + 0o62) + chr(0b1100101) + '\x63' + chr(11746 - 11635) + chr(0b111111 + 0o45) + chr(101))(chr(117) + chr(0b1110100) + chr(102) + chr(45) + chr(2071 - 2015)))() == TuIZNm23CTVY
apache/incubator-mxnet
python/mxnet/gluon/utils.py
download
def download(url, path=None, overwrite=False, sha1_hash=None, retries=5, verify_ssl=True): """Download an given URL Parameters ---------- url : str URL to download path : str, optional Destination path to store downloaded file. By default stores to the current directory with same name as in url. overwrite : bool, optional Whether to overwrite destination file if already exists. sha1_hash : str, optional Expected sha1 hash in hexadecimal digits. Will ignore existing file when hash is specified but doesn't match. retries : integer, default 5 The number of times to attempt the download in case of failure or non 200 return codes verify_ssl : bool, default True Verify SSL certificates. Returns ------- str The file path of the downloaded file. """ if path is None: fname = url.split('/')[-1] # Empty filenames are invalid assert fname, 'Can\'t construct file-name from this URL. ' \ 'Please set the `path` option manually.' else: path = os.path.expanduser(path) if os.path.isdir(path): fname = os.path.join(path, url.split('/')[-1]) else: fname = path assert retries >= 0, "Number of retries should be at least 0, currently it's {}".format( retries) if not verify_ssl: warnings.warn( 'Unverified HTTPS request is being made (verify_ssl=False). ' 'Adding certificate verification is strongly advised.') if overwrite or not os.path.exists(fname) or (sha1_hash and not check_sha1(fname, sha1_hash)): dirname = os.path.dirname(os.path.abspath(os.path.expanduser(fname))) if not os.path.exists(dirname): os.makedirs(dirname) while retries + 1 > 0: # Disable pyling too broad Exception # pylint: disable=W0703 try: print('Downloading {} from {}...'.format(fname, url)) r = requests.get(url, stream=True, verify=verify_ssl) if r.status_code != 200: raise RuntimeError('Failed downloading url {}'.format(url)) # create uuid for temporary files random_uuid = str(uuid.uuid4()) with open('{}.{}'.format(fname, random_uuid), 'wb') as f: for chunk in r.iter_content(chunk_size=1024): if chunk: # filter out keep-alive new chunks f.write(chunk) # if the target file exists(created by other processes) # and have the same hash with target file # delete the temporary file if not os.path.exists(fname) or (sha1_hash and not check_sha1(fname, sha1_hash)): # atmoic operation in the same file system _replace_atomic('{}.{}'.format(fname, random_uuid), fname) else: try: os.remove('{}.{}'.format(fname, random_uuid)) except OSError: pass finally: warnings.warn( 'File {} exists in file system so the downloaded file is deleted'.format(fname)) if sha1_hash and not check_sha1(fname, sha1_hash): raise UserWarning( 'File {} is downloaded but the content hash does not match.' ' The repo may be outdated or download may be incomplete. ' 'If the "repo_url" is overridden, consider switching to ' 'the default repo.'.format(fname)) break except Exception as e: retries -= 1 if retries <= 0: raise e else: print('download failed due to {}, retrying, {} attempt{} left' .format(repr(e), retries, 's' if retries > 1 else '')) return fname
python
def download(url, path=None, overwrite=False, sha1_hash=None, retries=5, verify_ssl=True): """Download an given URL Parameters ---------- url : str URL to download path : str, optional Destination path to store downloaded file. By default stores to the current directory with same name as in url. overwrite : bool, optional Whether to overwrite destination file if already exists. sha1_hash : str, optional Expected sha1 hash in hexadecimal digits. Will ignore existing file when hash is specified but doesn't match. retries : integer, default 5 The number of times to attempt the download in case of failure or non 200 return codes verify_ssl : bool, default True Verify SSL certificates. Returns ------- str The file path of the downloaded file. """ if path is None: fname = url.split('/')[-1] # Empty filenames are invalid assert fname, 'Can\'t construct file-name from this URL. ' \ 'Please set the `path` option manually.' else: path = os.path.expanduser(path) if os.path.isdir(path): fname = os.path.join(path, url.split('/')[-1]) else: fname = path assert retries >= 0, "Number of retries should be at least 0, currently it's {}".format( retries) if not verify_ssl: warnings.warn( 'Unverified HTTPS request is being made (verify_ssl=False). ' 'Adding certificate verification is strongly advised.') if overwrite or not os.path.exists(fname) or (sha1_hash and not check_sha1(fname, sha1_hash)): dirname = os.path.dirname(os.path.abspath(os.path.expanduser(fname))) if not os.path.exists(dirname): os.makedirs(dirname) while retries + 1 > 0: # Disable pyling too broad Exception # pylint: disable=W0703 try: print('Downloading {} from {}...'.format(fname, url)) r = requests.get(url, stream=True, verify=verify_ssl) if r.status_code != 200: raise RuntimeError('Failed downloading url {}'.format(url)) # create uuid for temporary files random_uuid = str(uuid.uuid4()) with open('{}.{}'.format(fname, random_uuid), 'wb') as f: for chunk in r.iter_content(chunk_size=1024): if chunk: # filter out keep-alive new chunks f.write(chunk) # if the target file exists(created by other processes) # and have the same hash with target file # delete the temporary file if not os.path.exists(fname) or (sha1_hash and not check_sha1(fname, sha1_hash)): # atmoic operation in the same file system _replace_atomic('{}.{}'.format(fname, random_uuid), fname) else: try: os.remove('{}.{}'.format(fname, random_uuid)) except OSError: pass finally: warnings.warn( 'File {} exists in file system so the downloaded file is deleted'.format(fname)) if sha1_hash and not check_sha1(fname, sha1_hash): raise UserWarning( 'File {} is downloaded but the content hash does not match.' ' The repo may be outdated or download may be incomplete. ' 'If the "repo_url" is overridden, consider switching to ' 'the default repo.'.format(fname)) break except Exception as e: retries -= 1 if retries <= 0: raise e else: print('download failed due to {}, retrying, {} attempt{} left' .format(repr(e), retries, 's' if retries > 1 else '')) return fname
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Download an given URL Parameters ---------- url : str URL to download path : str, optional Destination path to store downloaded file. By default stores to the current directory with same name as in url. overwrite : bool, optional Whether to overwrite destination file if already exists. sha1_hash : str, optional Expected sha1 hash in hexadecimal digits. Will ignore existing file when hash is specified but doesn't match. retries : integer, default 5 The number of times to attempt the download in case of failure or non 200 return codes verify_ssl : bool, default True Verify SSL certificates. Returns ------- str The file path of the downloaded file.
[ "Download", "an", "given", "URL" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/utils.py#L258-L349
train
Download an URL and store it in path.
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823), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + chr(0b110011) + chr(652 - 602) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1348 - 1294), 21287 - 21279), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1431 - 1382) + '\x34' + chr(0b11001 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8193 - 8082) + chr(1860 - 1811) + '\063' + chr(2894 - 2839), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + '\061' + chr(0b110101) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(456 - 408) + chr(0b11100 + 0o31), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\066' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(519 - 471) + chr(0b1000111 + 0o50) + chr(0b110010) + '\060' + chr(0b101000 + 0o10), 40719 - 40711), ehT0Px3KOsy9(chr(936 - 888) + chr(0b1101111) + '\x32' + chr(53) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(49) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + '\063' + '\x33' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(54) + '\x33', 27005 - 26997), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\x34' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1557 - 1446) + '\x32' + '\x35' + chr(0b101010 + 0o14), 0o10), ehT0Px3KOsy9(chr(1185 - 1137) + '\157' + chr(0b110001) + '\x36' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b110001) + chr(0b101100 + 0o7), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\061' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(0b110010 + 0o1) + chr(0b10000 + 0o44) + chr(0b101110 + 0o2), 0b1000), ehT0Px3KOsy9(chr(1164 - 1116) + chr(0b1101111) + '\x33' + chr(0b110100) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(50) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1 + 0o61) + chr(1189 - 1138) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\x35' + chr(0b100110 + 0o17), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\x30' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + '\061' + chr(0b11001 + 0o36) + chr(1824 - 1772), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110100) + chr(744 - 692), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b110010) + chr(198 - 143), 8), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + chr(0b110001 + 0o2) + chr(0b110110) + '\064', 0o10), ehT0Px3KOsy9(chr(1054 - 1006) + chr(111) + chr(50) + chr(0b110100) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1624 - 1513) + chr(49) + chr(0b110000) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b111110 + 0o61) + chr(55) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1584 - 1530) + chr(0b110011), 8), ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + '\x32' + chr(0b110011) + chr(0b1011 + 0o53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10859 - 10748) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(11080 - 10969) + chr(51) + '\060' + chr(0b110010), 794 - 786), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(75 - 26) + chr(52) + '\064', 22738 - 22730), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b1110 + 0o45) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9400 - 9289) + '\x33' + chr(0b110110) + chr(0b11000 + 0o30), 45078 - 45070), ehT0Px3KOsy9(chr(408 - 360) + chr(9356 - 9245) + '\x32' + chr(417 - 362) + chr(0b110110), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065' + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3'), '\144' + '\x65' + chr(7377 - 7278) + '\x6f' + chr(100) + chr(1842 - 1741))('\x75' + chr(116) + '\146' + '\x2d' + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def jpceyO2GCJAq(CYCr3xzMHl4K, EaCjyhZptSer=None, owudp2xlhy9V=ehT0Px3KOsy9('\060' + '\x6f' + chr(938 - 890), 8), TuIZNm23CTVY=None, YjfqU075U73D=ehT0Px3KOsy9('\x30' + '\x6f' + chr(2481 - 2428), 0o10), QXL5ZVRIwxHW=ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001), 0o10)): if EaCjyhZptSer is None: t3WbF0Ae42Pu = CYCr3xzMHl4K.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2'), chr(100) + chr(0b1100101) + '\143' + chr(8973 - 8862) + chr(0b10011 + 0o121) + chr(0b10110 + 0o117))(chr(117) + '\164' + chr(2637 - 2535) + '\055' + '\070'))[-ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(0b110001), 8)] assert t3WbF0Ae42Pu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\xb6hB+L\xa6\x1d\xee\xdf<\xafF\x03\xdaW\xad\xa5\x8c\x83\xbc\xf7\x0c\xe9\x19\x04\xb1\x86\xcam`O[\xf7p\xe21\x8c\xbc\x90\xcd\x87j\x00>\x1f\xa0R\xf3\xc9<\xfdG\x08\xcbW\xab\xbc\x81\x92\xf9\xf9M\xeb\x0cP\xbe\x9b\xcb -Z]\xebb\xae\x08\xa7\xde'), chr(0b1100100) + '\x65' + '\143' + '\157' + chr(0b11101 + 0o107) + chr(101))('\165' + '\164' + chr(5978 - 5876) + '\x2d' + chr(0b111000)) else: EaCjyhZptSer = oqhJDdMJfuwx.path.expanduser(EaCjyhZptSer) if xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\xa4b\x0c-'), '\144' + chr(6648 - 6547) + chr(8438 - 8339) + chr(111) + chr(100) + '\145')(chr(8598 - 8481) + chr(116) + chr(2159 - 2057) + chr(45) + chr(56)))(EaCjyhZptSer): t3WbF0Ae42Pu = oqhJDdMJfuwx.path._oWXztVNnqHF(EaCjyhZptSer, CYCr3xzMHl4K.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2'), '\144' + '\145' + '\143' + chr(10531 - 10420) + '\144' + chr(101))(chr(0b101101 + 0o110) + '\164' + chr(0b1100010 + 0o4) + chr(0b101101) + '\x38'))[-ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 8)]) else: t3WbF0Ae42Pu = EaCjyhZptSer assert YjfqU075U73D >= ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\060', 8), xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\xa2k\x07:\x1e\xe5\x1d\xe6\x8c:\xb8G\x12\xc7\x12\xb8\xec\x93\x8e\xfe\xec\x01\xe0\\F\xb2\xd4\xc4t`WV\xffp\xb6D\xee\xdc\x9e\x8e\xa2t\x17:\x02\xb1\x1e\xf9\x8c!\xa9\x14\x13\x8e\x0c\xb6'), chr(0b110110 + 0o56) + '\x65' + '\x63' + chr(0b1011110 + 0o21) + '\x64' + chr(101))('\165' + chr(0b1110100) + chr(102) + chr(962 - 917) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xe3t\n\x17\r\x96A\xd0\xdc-\xb7'), chr(100) + chr(0b1100101) + '\143' + '\x6f' + chr(0b1100100) + chr(0b1000100 + 0o41))(chr(6390 - 6273) + chr(706 - 590) + chr(102) + '\x2d' + chr(0b1101 + 0o53)))(YjfqU075U73D) if not QXL5ZVRIwxHW: xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x93C\x0b\x11.\xa4\x10\xc6\xe2\x03\xb0'), '\144' + chr(0b1100101) + '\143' + '\157' + chr(0b1100100) + '\145')(chr(117) + chr(0b101110 + 0o106) + '\x66' + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\xb9p\x00-\x05\xa3\x1b\xe5\xc8h\x95g4\xfe$\xeb\xbe\x85\x97\xe4\xfc\x1e\xf0\\M\xa4\xd4\xc7e)UT\xben\xa3\x00\xbb\xd0\x96\x9b\xb2t\x0c9\x15\x9a\x01\xf3\xc0u\x9bR\x0c\xdd\x12\xe2\xe2\xc0\xa7\xf5\xfd\x04\xea\x1b\x04\xb4\x91\xd7t)]Z\xfdb\xb6\x01\xfe\x86\xdb\x9f\xbe`\x0c<\r\xb1\x1b\xef\xc2h\xb4@@\xdd\x03\xb9\xa3\x8e\x81\xfd\xe0M\xe5\x18R\xbe\x87\xc0dn'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + '\x64' + chr(7077 - 6976))(chr(0b1110000 + 0o5) + '\164' + '\x66' + '\055' + chr(1512 - 1456))) if owudp2xlhy9V or not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xafo\x16+\x1f'), chr(7760 - 7660) + '\145' + chr(99) + chr(111) + chr(100) + chr(8597 - 8496))(chr(0b100101 + 0o120) + chr(0b1110100) + chr(5454 - 5352) + chr(0b101101) + '\x38'))(t3WbF0Ae42Pu) or (TuIZNm23CTVY and (not uGaDTSTDc2lw(t3WbF0Ae42Pu, TuIZNm23CTVY))): xT0fStj2MyFU = oqhJDdMJfuwx.path.dirname(oqhJDdMJfuwx.path.abspath(oqhJDdMJfuwx.path.expanduser(t3WbF0Ae42Pu))) if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xafo\x16+\x1f'), chr(0b101 + 0o137) + chr(6652 - 6551) + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1001000 + 0o35))(chr(0b1011100 + 0o31) + '\x74' + '\x66' + chr(0b1100 + 0o41) + chr(0b1111 + 0o51)))(xT0fStj2MyFU): xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x80\xb6m\x00;\x05\xb7\x01'), chr(100) + chr(0b1100101) + chr(0b1100001 + 0o2) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1010 + 0o153) + '\x74' + chr(7121 - 7019) + chr(1044 - 999) + chr(56)))(xT0fStj2MyFU) while YjfqU075U73D + ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), 8) > ehT0Px3KOsy9(chr(0b110000) + chr(8672 - 8561) + '\060', 8): try: zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xb8q\x0b3\x03\xa4\x16\xe9\xc2/\xfdH\x1d\x8e\x11\xb9\xa3\x8d\xc6\xea\xe4C\xaaR'), chr(0b1100100) + chr(0b1 + 0o144) + '\x63' + '\x6f' + chr(0b1011010 + 0o12) + '\145')(chr(117) + chr(7357 - 7241) + chr(10104 - 10002) + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xe3t\n\x17\r\x96A\xd0\xdc-\xb7'), '\144' + chr(3496 - 3395) + '\143' + chr(9261 - 9150) + chr(9934 - 9834) + chr(1096 - 995))(chr(0b100001 + 0o124) + chr(10184 - 10068) + chr(0b1100110) + chr(204 - 159) + chr(56)))(t3WbF0Ae42Pu, CYCr3xzMHl4K)) JWG5qApaeJkp = Mx6ixpcPMQy3.get(CYCr3xzMHl4K, stream=ehT0Px3KOsy9('\x30' + chr(523 - 412) + chr(49), 8), verify=QXL5ZVRIwxHW) if xafqLlk3kkUe(JWG5qApaeJkp, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x93q\t\x07Z\x94#\xb9\x9e~\x98'), '\144' + chr(101) + chr(0b1100011) + chr(111) + chr(0b1100100) + '\145')(chr(0b1110101) + '\x74' + chr(102) + chr(45) + chr(2972 - 2916))) != ehT0Px3KOsy9(chr(836 - 788) + chr(111) + '\x33' + chr(686 - 637) + '\x30', 0o10): raise n0ZkatoveZpF(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xb6o\t:\x08\xe5\x16\xef\xdb&\xb1\\\x01\xca\x1e\xa5\xab\xc0\x93\xe3\xf5M\xff\x01'), chr(100) + '\145' + chr(0b111110 + 0o45) + '\157' + chr(658 - 558) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b1100 + 0o132) + chr(81 - 36) + chr(0b10100 + 0o44)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xe3t\n\x17\r\x96A\xd0\xdc-\xb7'), chr(5799 - 5699) + chr(0b100101 + 0o100) + chr(2999 - 2900) + '\157' + chr(0b1100100) + chr(0b11111 + 0o106))(chr(0b1110101) + chr(10369 - 10253) + '\x66' + chr(45) + chr(0b11111 + 0o31)))(CYCr3xzMHl4K)) BRZA4UNA1lDY = M8_cKLkHVB2V(b1Z61h2jGYCm.uuid4()) with _fwkIVCGgtAN(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\xaa(\x1e"'), chr(0b1100100) + chr(0b1010010 + 0o23) + '\143' + chr(0b1101111) + chr(100) + '\x65')(chr(0b1100100 + 0o21) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xe3t\n\x17\r\x96A\xd0\xdc-\xb7'), chr(1346 - 1246) + '\x65' + chr(0b10100 + 0o117) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1110101) + '\x74' + chr(102) + chr(0b101101) + chr(0b101 + 0o63)))(t3WbF0Ae42Pu, BRZA4UNA1lDY), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\xb5'), '\144' + chr(0b1100101) + chr(99) + chr(0b1011101 + 0o22) + '\x64' + chr(101))('\165' + chr(116) + chr(0b1100110) + chr(1256 - 1211) + chr(0b110101 + 0o3))) as EGyt1xfPT1P6: for qrKMvKviNzHg in xafqLlk3kkUe(JWG5qApaeJkp, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\xa3c\x17\x00\x0f\xaa\x1c\xf4\xc9&\xa9'), chr(1222 - 1122) + '\145' + '\x63' + '\157' + '\144' + chr(4671 - 4570))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(1120 - 1075) + chr(0b111000)))(chunk_size=ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(687 - 637) + '\x30' + chr(0b1110 + 0o42) + chr(0b1111 + 0o41), 38129 - 38121)): if qrKMvKviNzHg: xafqLlk3kkUe(EGyt1xfPT1P6, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\xa5o\x11:'), chr(0b110010 + 0o62) + '\145' + chr(99) + chr(0b1101111) + '\144' + '\145')(chr(7297 - 7180) + '\x74' + chr(6769 - 6667) + chr(0b1 + 0o54) + chr(56)))(qrKMvKviNzHg) if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xafo\x16+\x1f'), '\144' + '\x65' + chr(0b11000 + 0o113) + '\x6f' + '\x64' + chr(0b110 + 0o137))(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + '\x38'))(t3WbF0Ae42Pu) or (TuIZNm23CTVY and (not uGaDTSTDc2lw(t3WbF0Ae42Pu, TuIZNm23CTVY))): Si0wPQ20hiTA(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\xaa(\x1e"'), chr(1525 - 1425) + '\145' + '\x63' + chr(111) + '\x64' + '\x65')('\165' + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xe3t\n\x17\r\x96A\xd0\xdc-\xb7'), chr(0b1100100) + chr(2682 - 2581) + chr(0b1000010 + 0o41) + chr(9436 - 9325) + chr(100) + chr(602 - 501))('\x75' + chr(116) + chr(0b1000101 + 0o41) + '\x2d' + chr(0b111000)))(t3WbF0Ae42Pu, BRZA4UNA1lDY), t3WbF0Ae42Pu) else: try: xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\xb2k\n)\t'), chr(0b100110 + 0o76) + '\x65' + '\143' + chr(0b1101111) + chr(2417 - 2317) + '\x65')('\x75' + '\x74' + chr(6899 - 6797) + '\055' + chr(56)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\xaa(\x1e"'), chr(100) + chr(8697 - 8596) + chr(0b100110 + 0o75) + chr(111) + chr(100) + '\x65')(chr(0b1110101) + '\x74' + chr(102) + chr(1034 - 989) + chr(0b11001 + 0o37)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xe3t\n\x17\r\x96A\xd0\xdc-\xb7'), '\x64' + chr(0b111101 + 0o50) + chr(0b11111 + 0o104) + chr(0b1011001 + 0o26) + chr(100) + chr(101))('\165' + chr(116) + chr(0b1011011 + 0o13) + '\x2d' + chr(0b100011 + 0o25)))(t3WbF0Ae42Pu, BRZA4UNA1lDY)) except KlPSljPzIJ_u: pass finally: xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x93C\x0b\x11.\xa4\x10\xc6\xe2\x03\xb0'), '\144' + chr(0b1010001 + 0o24) + chr(99) + '\x6f' + '\144' + chr(9356 - 9255))(chr(0b100010 + 0o123) + chr(0b101011 + 0o111) + '\146' + '\x2d' + chr(0b101 + 0o63)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xbej\x00\x7f\x17\xb8R\xe5\xd4!\xaeG\x13\x8e\x1e\xa5\xec\x86\x8f\xfd\xfcM\xf7\x05W\xa3\x91\xc8 3T\x13\xeak\xa7D\xba\x9f\xc9\x83\xbbi\x04;\t\xa1R\xe6\xc5$\xb8\x13\t\xddW\xaf\xa9\x8c\x83\xe5\xfc\t'), chr(0b1100100) + chr(6758 - 6657) + '\x63' + '\x6f' + '\144' + '\145')('\165' + '\x74' + chr(7209 - 7107) + chr(0b101101) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xe3t\n\x17\r\x96A\xd0\xdc-\xb7'), chr(0b1100100) + chr(101) + chr(99) + chr(0b10101 + 0o132) + '\x64' + '\x65')(chr(0b1011001 + 0o34) + chr(116) + chr(102) + '\055' + chr(2425 - 2369)))(t3WbF0Ae42Pu)) if TuIZNm23CTVY and (not uGaDTSTDc2lw(t3WbF0Ae42Pu, TuIZNm23CTVY)): raise hOkXjmluKZfJ(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xbej\x00\x7f\x17\xb8R\xe9\xdfh\xb9\\\x17\xc0\x1b\xa4\xad\x84\x83\xf5\xb9\x0f\xf1\x08\x04\xa3\x9c\xc0 #T]\xeaf\xac\x10\xfe\x98\xdf\x9e\xbf&\x010\t\xb6R\xee\xc3<\xfd^\x01\xda\x14\xa3\xe2\xc0\xb2\xf9\xfcM\xf6\x19T\xb8\xd4\xc8a9\x1bQ\xfb#\xad\x11\xaa\x94\xdf\x99\xb2bE0\x1e\xe5\x16\xef\xdb&\xb1\\\x01\xcaW\xa6\xad\x99\xc6\xf3\xfcM\xed\x12G\xb8\x99\xd5l%OV\xb0#\x8b\x02\xfe\x84\xd6\x88\xf7$\x17:\x1c\xaa-\xf5\xde$\xff\x13\t\xddW\xa4\xba\x85\x94\xe3\xf0\t\xe0\x19J\xfb\xd4\xc6o.HZ\xfaf\xb0D\xad\x87\xd7\x99\xb4n\x0c1\x0b\xe5\x06\xef\x8c<\xb5V@\xca\x12\xad\xad\x95\x8a\xe5\xb9\x1f\xe1\x0cK\xf9'), chr(100) + '\x65' + chr(0b1001 + 0o132) + chr(1210 - 1099) + '\x64' + '\x65')('\x75' + '\164' + chr(102) + chr(1568 - 1523) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xe3t\n\x17\r\x96A\xd0\xdc-\xb7'), '\x64' + chr(0b1100101) + chr(9720 - 9621) + chr(111) + chr(0b111100 + 0o50) + '\x65')(chr(9311 - 9194) + chr(0b10000 + 0o144) + '\146' + '\055' + chr(0b111000)))(t3WbF0Ae42Pu)) break except jLmadlzMdunT as GlnVAPeT6CUe: YjfqU075U73D -= ehT0Px3KOsy9('\060' + chr(10575 - 10464) + '\061', 8) if YjfqU075U73D <= ehT0Px3KOsy9(chr(0b110000) + chr(11689 - 11578) + chr(0b11110 + 0o22), 8): raise GlnVAPeT6CUe else: zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xb8q\x0b3\x03\xa4\x16\xa0\xca)\xb4_\x05\xcaW\xaf\xb9\x85\xc6\xe5\xf6M\xff\x01\x08\xf7\x86\xc0t2BZ\xf0d\xeeD\xa5\x8d\x9e\x8c\xa3r\x002\x1c\xb1\t\xfd\x8c$\xb8U\x14'), chr(0b1001111 + 0o25) + chr(101) + chr(6009 - 5910) + '\x6f' + '\x64' + chr(9182 - 9081))(chr(0b1010011 + 0o42) + '\164' + chr(102) + chr(641 - 596) + chr(1986 - 1930)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xe3t\n\x17\r\x96A\xd0\xdc-\xb7'), chr(100) + chr(0b1001110 + 0o27) + chr(0b1100011) + chr(8308 - 8197) + chr(100) + chr(0b1010010 + 0o23))(chr(0b1001101 + 0o50) + chr(116) + chr(9470 - 9368) + chr(45) + chr(56)))(S6hV9M2g7fO0(GlnVAPeT6CUe), YjfqU075U73D, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e'), chr(0b11111 + 0o105) + chr(0b100001 + 0o104) + chr(99) + chr(0b1010110 + 0o31) + '\x64' + chr(0b1100101))(chr(0b100010 + 0o123) + chr(3242 - 3126) + '\x66' + chr(0b100111 + 0o6) + chr(56)) if YjfqU075U73D > ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + '\061', 8) else xafqLlk3kkUe(SXOLrMavuUCe(b''), '\144' + chr(8579 - 8478) + chr(0b10010 + 0o121) + chr(111) + '\x64' + chr(0b1010000 + 0o25))(chr(0b1110011 + 0o2) + '\x74' + chr(2181 - 2079) + chr(0b101101) + chr(0b111000)))) return t3WbF0Ae42Pu
apache/incubator-mxnet
python/mxnet/gluon/utils.py
_get_repo_url
def _get_repo_url(): """Return the base URL for Gluon dataset and model repository.""" default_repo = 'https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/' repo_url = os.environ.get('MXNET_GLUON_REPO', default_repo) if repo_url[-1] != '/': repo_url = repo_url+'/' return repo_url
python
def _get_repo_url(): """Return the base URL for Gluon dataset and model repository.""" default_repo = 'https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/' repo_url = os.environ.get('MXNET_GLUON_REPO', default_repo) if repo_url[-1] != '/': repo_url = repo_url+'/' return repo_url
[ "def", "_get_repo_url", "(", ")", ":", "default_repo", "=", "'https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/'", "repo_url", "=", "os", ".", "environ", ".", "get", "(", "'MXNET_GLUON_REPO'", ",", "default_repo", ")", "if", "repo_url", "[", "-", "1", "]", "!=", "'/'", ":", "repo_url", "=", "repo_url", "+", "'/'", "return", "repo_url" ]
Return the base URL for Gluon dataset and model repository.
[ "Return", "the", "base", "URL", "for", "Gluon", "dataset", "and", "model", "repository", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/utils.py#L351-L357
train
Return the base URL for Gluon dataset and model 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(886 - 838) + chr(111) + '\063' + chr(0b110101) + '\x30', 0o10), ehT0Px3KOsy9(chr(1526 - 1478) + '\157' + '\x31' + '\x31' + chr(54), 47859 - 47851), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(2096 - 2045) + '\x31' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110100) + chr(2352 - 2302), 36090 - 36082), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1134 - 1083) + chr(50) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\062' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100111 + 0o13) + chr(1396 - 1343) + chr(72 - 21), 20638 - 20630), ehT0Px3KOsy9('\x30' + chr(111) + chr(1912 - 1863) + chr(1849 - 1801) + chr(0b101010 + 0o7), 18480 - 18472), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\x32' + chr(0b110011), 35540 - 35532), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001001 + 0o46) + chr(0b110011) + chr(0b110000) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(5576 - 5465) + chr(49) + '\061' + chr(0b101 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(2029 - 1981) + chr(111) + chr(1695 - 1646) + chr(0b110011), 37872 - 37864), ehT0Px3KOsy9('\060' + chr(0b11010 + 0o125) + chr(0b110010) + chr(373 - 322) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(347 - 295), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100000 + 0o22) + chr(49) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(53) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(186 - 138) + '\157' + chr(0b11011 + 0o27) + chr(0b110001) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\x35' + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + '\063' + '\061' + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101010 + 0o5) + chr(0b110001) + chr(0b110011) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b110001) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b110000 + 0o77) + chr(0b110011) + chr(0b101100 + 0o4) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(247 - 199) + '\x33', 41448 - 41440), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000 + 0o1) + chr(1671 - 1623) + chr(0b110100 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(2179 - 2131) + '\x6f' + '\x32' + '\060' + chr(0b101001 + 0o15), 18512 - 18504), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(444 - 394) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001100 + 0o43) + '\x32' + chr(0b110010) + chr(55), 34713 - 34705), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(0b110011) + chr(1246 - 1194) + '\060', 20359 - 20351), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\061' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b100001 + 0o22) + '\x31' + chr(0b110 + 0o57), 0b1000), ehT0Px3KOsy9('\060' + chr(444 - 333) + chr(789 - 740) + '\x30' + chr(0b110001 + 0o0), 8), ehT0Px3KOsy9(chr(2200 - 2152) + chr(1632 - 1521) + chr(50) + chr(0b110011), 12394 - 12386), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(0b10000 + 0o41) + chr(0b110111) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b110110) + '\x35', 28232 - 28224), ehT0Px3KOsy9(chr(864 - 816) + chr(111) + chr(2211 - 2160) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10298 - 10187) + chr(121 - 72) + chr(1404 - 1354) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3833 - 3722) + '\062' + chr(0b110011) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(837 - 788) + chr(1164 - 1115), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b101 + 0o152) + chr(50) + '\064' + chr(2442 - 2389), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(2453 - 2342) + chr(0b110101) + chr(2129 - 2081), 61509 - 61501)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6'), chr(0b1100100) + '\145' + chr(0b1100011) + '\157' + chr(0b1100100) + chr(947 - 846))(chr(6318 - 6201) + '\164' + chr(0b1011010 + 0o14) + chr(0b10001 + 0o34) + chr(3032 - 2976)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def ACkaKjR0kdJB(): cOgDOxmn59fz = xafqLlk3kkUe(SXOLrMavuUCe(b'\x80:\xbeR\xa1\xae\x84n\xf2\xb2-h\xf3a\xa5G\xf7\xc7\xab)\xa1\xb6pj\xe7e\xb4\xf2\x8c\xeb\xbf g\x1a[|#\xff\xe5\xd6\x9c/\xa9I\xfc\xf5\xc6 \xe9\xad"j\xecw\xa6I\xe0\xc4\xe1'), chr(0b1100100) + '\145' + chr(1338 - 1239) + chr(7988 - 7877) + chr(0b1100100) + '\145')('\165' + chr(116) + chr(0b10010 + 0o124) + '\055' + chr(56)) L8zqSTwTIBfC = oqhJDdMJfuwx.environ.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5\x16\x84g\x86\xcb\xec\r\xc6\x8d\x02T\xc9A\xd8e'), chr(100) + '\x65' + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + '\x74' + '\x66' + '\055' + '\x38'), cOgDOxmn59fz) if L8zqSTwTIBfC[-ehT0Px3KOsy9('\060' + '\x6f' + chr(1975 - 1926), 0o10)] != xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7'), chr(0b1110 + 0o126) + '\145' + chr(0b101000 + 0o73) + '\157' + chr(0b1011010 + 0o12) + chr(0b1100101))('\x75' + '\x74' + chr(0b1100110) + '\055' + chr(0b10 + 0o66)): L8zqSTwTIBfC = L8zqSTwTIBfC + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7'), chr(100) + '\145' + '\143' + '\157' + chr(5559 - 5459) + chr(4926 - 4825))(chr(0b1010010 + 0o43) + chr(6600 - 6484) + '\146' + '\055' + chr(56)) return L8zqSTwTIBfC
apache/incubator-mxnet
python/mxnet/gluon/utils.py
_get_repo_file_url
def _get_repo_file_url(namespace, filename): """Return the URL for hosted file in Gluon repository. Parameters ---------- namespace : str Namespace of the file. filename : str Name of the file """ return '{base_url}{namespace}/{filename}'.format(base_url=_get_repo_url(), namespace=namespace, filename=filename)
python
def _get_repo_file_url(namespace, filename): """Return the URL for hosted file in Gluon repository. Parameters ---------- namespace : str Namespace of the file. filename : str Name of the file """ return '{base_url}{namespace}/{filename}'.format(base_url=_get_repo_url(), namespace=namespace, filename=filename)
[ "def", "_get_repo_file_url", "(", "namespace", ",", "filename", ")", ":", "return", "'{base_url}{namespace}/{filename}'", ".", "format", "(", "base_url", "=", "_get_repo_url", "(", ")", ",", "namespace", "=", "namespace", ",", "filename", "=", "filename", ")" ]
Return the URL for hosted file in Gluon repository. Parameters ---------- namespace : str Namespace of the file. filename : str Name of the file
[ "Return", "the", "URL", "for", "hosted", "file", "in", "Gluon", "repository", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/utils.py#L359-L371
train
Returns the URL for hosted file in Gluon 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(0b100100 + 0o14) + chr(0b1101111) + '\x35', 27300 - 27292), ehT0Px3KOsy9(chr(2167 - 2119) + chr(0b11111 + 0o120) + chr(0b110001) + chr(2032 - 1981) + '\x35', 61999 - 61991), ehT0Px3KOsy9(chr(401 - 353) + chr(111) + chr(0b110011) + chr(0b110111) + chr(0b1011 + 0o47), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\063' + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + '\x31' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\066' + '\065', 14882 - 14874), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\061' + '\063', 0o10), ehT0Px3KOsy9(chr(1414 - 1366) + chr(0b111010 + 0o65) + chr(53) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(51), 0o10), ehT0Px3KOsy9(chr(2008 - 1960) + chr(0b10111 + 0o130) + chr(1273 - 1223) + chr(153 - 103) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11216 - 11105) + chr(0b110010) + '\x36' + '\x30', 21016 - 21008), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(9717 - 9606) + chr(50) + chr(0b101000 + 0o13) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(5837 - 5726) + chr(0b110011) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2399 - 2350) + '\066' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b110001) + '\067' + '\063', 0o10), ehT0Px3KOsy9(chr(2189 - 2141) + chr(111) + chr(0b110001) + chr(0b101001 + 0o13) + chr(0b110101 + 0o1), 54130 - 54122), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b101 + 0o152) + chr(50) + chr(55) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(359 - 311) + '\067', 0o10), ehT0Px3KOsy9(chr(72 - 24) + '\157' + chr(51) + chr(50) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(528 - 417) + chr(0b11001 + 0o30) + chr(2256 - 2205) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(2345 - 2294) + chr(1790 - 1740), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(53) + chr(0b110101), 53107 - 53099), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1093 - 1039) + '\x36', 28512 - 28504), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + '\x31' + chr(2781 - 2728) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(55) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101100 + 0o3) + chr(0b110011) + '\x33' + chr(51), 18714 - 18706), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(0b11001 + 0o32) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(791 - 743) + chr(111) + chr(0b110011) + chr(0b110000) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b111100 + 0o63) + chr(0b110000 + 0o3) + '\063' + '\x32', 8), ehT0Px3KOsy9(chr(219 - 171) + '\x6f' + '\x31' + chr(49) + chr(0b110011), 7944 - 7936), ehT0Px3KOsy9(chr(48) + '\157' + chr(1052 - 1003) + chr(0b110101) + chr(0b110000), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\067' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + chr(758 - 707) + chr(100 - 51) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + chr(0b110000 + 0o1) + '\x34' + '\065', 8520 - 8512), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b101110 + 0o3), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + chr(0b101010 + 0o7) + chr(0b110000), 29997 - 29989), ehT0Px3KOsy9(chr(758 - 710) + chr(0b1100111 + 0o10) + chr(0b110011) + chr(2800 - 2745) + chr(0b100000 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\062' + '\062' + chr(52), 38760 - 38752), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101111 + 0o2) + chr(0b100100 + 0o23) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101101 + 0o4) + chr(48) + chr(0b110110), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(4374 - 4263) + chr(0b101000 + 0o15) + chr(1248 - 1200), 44208 - 44200)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'+'), chr(5664 - 5564) + chr(101) + chr(0b1010011 + 0o20) + chr(0b1101111) + '\x64' + '\x65')(chr(117) + chr(0b11101 + 0o127) + chr(102) + chr(0b101010 + 0o3) + chr(2792 - 2736)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def oPFrjooBYy2e(y7wzAiF9iB4_, xw4DsBfIJ22E): return xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b"~?\x9b(kj\xfe_\x7f\xee\xcb\xf0x\x1d\x1e\x15\xca\xe6\xb0='\xc2M\x0e\xd0\xb7\xbf\xad\xbb&\r\x04"), chr(0b1100100) + '\145' + chr(0b1100011) + '\x6f' + chr(3619 - 3519) + chr(101))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'Si\x884FT\xd8\x1eC\xe3\xd5\xf4'), chr(100) + chr(0b111001 + 0o54) + '\x63' + chr(0b10100 + 0o133) + '\x64' + '\145')('\165' + chr(11263 - 11147) + chr(0b1001110 + 0o30) + chr(45) + chr(56)))(base_url=ACkaKjR0kdJB(), namespace=y7wzAiF9iB4_, filename=xw4DsBfIJ22E)
apache/incubator-mxnet
python/mxnet/gluon/utils.py
_brief_print_list
def _brief_print_list(lst, limit=7): """Print at most `limit` elements of list.""" lst = list(lst) if len(lst) > limit: return _brief_print_list(lst[:limit//2], limit) + ', ..., ' + \ _brief_print_list(lst[-limit//2:], limit) return ', '.join(["'%s'"%str(i) for i in lst])
python
def _brief_print_list(lst, limit=7): """Print at most `limit` elements of list.""" lst = list(lst) if len(lst) > limit: return _brief_print_list(lst[:limit//2], limit) + ', ..., ' + \ _brief_print_list(lst[-limit//2:], limit) return ', '.join(["'%s'"%str(i) for i in lst])
[ "def", "_brief_print_list", "(", "lst", ",", "limit", "=", "7", ")", ":", "lst", "=", "list", "(", "lst", ")", "if", "len", "(", "lst", ")", ">", "limit", ":", "return", "_brief_print_list", "(", "lst", "[", ":", "limit", "//", "2", "]", ",", "limit", ")", "+", "', ..., '", "+", "_brief_print_list", "(", "lst", "[", "-", "limit", "//", "2", ":", "]", ",", "limit", ")", "return", "', '", ".", "join", "(", "[", "\"'%s'\"", "%", "str", "(", "i", ")", "for", "i", "in", "lst", "]", ")" ]
Print at most `limit` elements of list.
[ "Print", "at", "most", "limit", "elements", "of", "list", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/utils.py#L373-L379
train
Print at most limit elements of list.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1966 - 1918) + '\x6f' + chr(0b110001) + chr(2041 - 1993), 52979 - 52971), ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + '\061' + '\061' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1075 - 1027) + '\x6f' + '\x37' + chr(1434 - 1381), 0b1000), ehT0Px3KOsy9(chr(540 - 492) + chr(0b1101111) + '\x33' + chr(52) + chr(0b1011 + 0o51), 0b1000), ehT0Px3KOsy9(chr(773 - 725) + chr(111) + '\064' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(12026 - 11915) + chr(0b10010 + 0o37) + '\061' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + '\x32' + chr(0b101110 + 0o4) + chr(0b11101 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\061' + chr(0b10111 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(6639 - 6528) + '\063' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(682 - 634) + '\157' + chr(0b101000 + 0o14) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b110100) + chr(0b110101), 38364 - 38356), ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + chr(1945 - 1892) + chr(1592 - 1544), 6921 - 6913), ehT0Px3KOsy9(chr(2040 - 1992) + chr(0b1101111) + chr(1624 - 1573) + chr(49) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110100) + chr(0b10011 + 0o40), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x37' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000 + 0o5) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(421 - 371) + '\061' + chr(0b11000 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\x35' + chr(52), 39742 - 39734), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(48) + chr(2517 - 2463), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + chr(0b110001) + '\x34' + chr(0b100001 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b100001 + 0o116) + chr(0b101001 + 0o10) + chr(55) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\x35' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + '\062' + '\065' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2270 - 2215) + '\061', 49608 - 49600), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(50) + chr(0b100 + 0o57) + chr(0b100101 + 0o14), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10885 - 10774) + chr(50) + chr(0b10010 + 0o42) + chr(64 - 11), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(642 - 592) + '\x34' + chr(0b110001), 9973 - 9965), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b100011 + 0o15) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(3200 - 3089) + '\066', 8), ehT0Px3KOsy9(chr(0b110000) + chr(10552 - 10441) + chr(51) + chr(1896 - 1844) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\x33' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(2038 - 1987), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(51) + '\060' + chr(48), 0b1000), ehT0Px3KOsy9(chr(1442 - 1394) + chr(111) + chr(50) + chr(0b11 + 0o60) + '\067', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b110011) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + chr(0b11011 + 0o27) + chr(1412 - 1359), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x33' + chr(48), 57377 - 57369), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\x30' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(437 - 326) + chr(51) + chr(0b110111) + '\x35', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'&'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1100100 + 0o13) + '\144' + chr(0b1100101))(chr(0b1000110 + 0o57) + '\x74' + '\146' + '\x2d' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def v9ixdwlTfQmm(UbQgAO4lGOIJ, j8BaqiKmcR6w=ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + chr(624 - 569), 0b1000)): UbQgAO4lGOIJ = YyaZ4tpXu4lf(UbQgAO4lGOIJ) if c2A0yzQpDQB3(UbQgAO4lGOIJ) > j8BaqiKmcR6w: return v9ixdwlTfQmm(UbQgAO4lGOIJ[:j8BaqiKmcR6w // ehT0Px3KOsy9('\x30' + '\x6f' + chr(1952 - 1902), 0b1000)], j8BaqiKmcR6w) + xafqLlk3kkUe(SXOLrMavuUCe(b'$i\x13\xca\x08f\xb3'), chr(0b1100100) + chr(2900 - 2799) + chr(0b111001 + 0o52) + '\157' + '\144' + chr(101))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(0b100011 + 0o12) + '\070') + v9ixdwlTfQmm(UbQgAO4lGOIJ[-j8BaqiKmcR6w // ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + chr(0b110001 + 0o1), 8):], j8BaqiKmcR6w) return xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'$i'), chr(0b1100100) + '\145' + chr(99) + '\157' + chr(9864 - 9764) + chr(0b1100101))(chr(0b1001000 + 0o55) + chr(116) + chr(102) + chr(576 - 531) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'W&j\xbc\\>\xc5\x01uPmn'), chr(9053 - 8953) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1100101))('\165' + chr(0b101001 + 0o113) + chr(0b1100110) + chr(45) + '\070'))([xafqLlk3kkUe(SXOLrMavuUCe(b'/lN\xc3'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(2691 - 2574) + chr(116) + chr(102) + chr(45) + chr(0b100100 + 0o24)) % M8_cKLkHVB2V(WVxHKyX45z_L) for WVxHKyX45z_L in UbQgAO4lGOIJ])
apache/incubator-mxnet
python/mxnet/symbol/register.py
_make_symbol_function
def _make_symbol_function(handle, name, func_name): """Create a symbol function by handle and function name.""" code, doc_str = _generate_symbol_function_code(handle, name, func_name) local = {} exec(code, None, local) # pylint: disable=exec-used symbol_function = local[func_name] symbol_function.__name__ = func_name symbol_function.__doc__ = doc_str symbol_function.__module__ = 'mxnet.symbol' return symbol_function
python
def _make_symbol_function(handle, name, func_name): """Create a symbol function by handle and function name.""" code, doc_str = _generate_symbol_function_code(handle, name, func_name) local = {} exec(code, None, local) # pylint: disable=exec-used symbol_function = local[func_name] symbol_function.__name__ = func_name symbol_function.__doc__ = doc_str symbol_function.__module__ = 'mxnet.symbol' return symbol_function
[ "def", "_make_symbol_function", "(", "handle", ",", "name", ",", "func_name", ")", ":", "code", ",", "doc_str", "=", "_generate_symbol_function_code", "(", "handle", ",", "name", ",", "func_name", ")", "local", "=", "{", "}", "exec", "(", "code", ",", "None", ",", "local", ")", "# pylint: disable=exec-used", "symbol_function", "=", "local", "[", "func_name", "]", "symbol_function", ".", "__name__", "=", "func_name", "symbol_function", ".", "__doc__", "=", "doc_str", "symbol_function", ".", "__module__", "=", "'mxnet.symbol'", "return", "symbol_function" ]
Create a symbol function by handle and function name.
[ "Create", "a", "symbol", "function", "by", "handle", "and", "function", "name", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/symbol/register.py#L199-L209
train
Create a symbol function by handle and function name.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + '\x31' + chr(48) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1017 - 969) + '\x6f' + chr(1577 - 1526) + chr(1468 - 1419) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\x32' + chr(583 - 530), 12366 - 12358), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + '\061' + '\x31' + chr(891 - 837), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5876 - 5765) + chr(2165 - 2115) + chr(0b100001 + 0o24) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(49) + '\x31', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110100) + chr(0b100111 + 0o17), 0b1000), ehT0Px3KOsy9(chr(841 - 793) + chr(0b111001 + 0o66) + '\x31' + chr(1212 - 1164) + chr(1764 - 1711), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + '\061' + chr(48) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + '\x32' + chr(505 - 457) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1277 - 1229) + '\157' + chr(55) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3533 - 3422) + '\x33' + chr(2158 - 2105) + chr(613 - 559), 40934 - 40926), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001 + 0o2) + chr(55) + chr(51), 60308 - 60300), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\x34' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b110010 + 0o0) + chr(2378 - 2325) + '\x34', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11001 + 0o30) + chr(51) + chr(1401 - 1353), ord("\x08")), ehT0Px3KOsy9(chr(2182 - 2134) + chr(0b1100010 + 0o15) + chr(1461 - 1410) + chr(0b1111 + 0o50) + chr(0b100010 + 0o24), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + chr(50) + chr(49) + chr(2547 - 2494), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\x32' + '\x35' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(1714 - 1662) + chr(0b110001), 29855 - 29847), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(6459 - 6348) + chr(2456 - 2405) + chr(0b1 + 0o62), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11714 - 11603) + chr(0b110011) + '\x33' + chr(0b110000 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6030 - 5919) + chr(0b110011) + chr(0b110101) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101010 + 0o5) + chr(783 - 732) + chr(54) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(272 - 224) + chr(0b100100 + 0o113) + chr(50) + chr(0b110101) + chr(0b110100), 8), ehT0Px3KOsy9(chr(1141 - 1093) + chr(0b10110 + 0o131) + '\x33' + chr(0b11011 + 0o32), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b100001 + 0o116) + chr(2674 - 2621) + chr(1207 - 1154), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(3647 - 3536) + chr(1142 - 1093) + chr(0b100111 + 0o14) + chr(0b1000 + 0o51), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b110010) + '\062' + chr(0b10000 + 0o46), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(847 - 797) + chr(0b100010 + 0o16), 0b1000), ehT0Px3KOsy9(chr(1648 - 1600) + '\x6f' + chr(49) + '\x36' + '\x30', 18703 - 18695), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(54) + chr(1118 - 1065), 21678 - 21670), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\062' + chr(0b110100) + chr(0b100010 + 0o22), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(9308 - 9197) + chr(0b11011 + 0o30) + '\062' + chr(0b100000 + 0o25), 788 - 780), ehT0Px3KOsy9('\x30' + '\157' + chr(336 - 285) + chr(0b11110 + 0o31) + chr(52), 5647 - 5639), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(52) + chr(1168 - 1116), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100 + 0o56) + '\x30' + '\065', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b111000 + 0o67) + chr(49) + '\x32' + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + chr(7738 - 7627) + chr(0b110011) + '\062' + chr(0b110001), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'h'), '\144' + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b101100 + 0o70) + chr(688 - 587))('\x75' + chr(5601 - 5485) + '\146' + chr(1037 - 992) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def ZFGX4SRvTrKg(SxTuMqFZdzZx, AIvJRzLdDfgF, iyGI9pmJHTiU): (ZWRNGxZ3R69y, X7woN5pHuPHy) = P7He_iFO3yVa(SxTuMqFZdzZx, AIvJRzLdDfgF, iyGI9pmJHTiU) eIF9i_6N6Pnk = {} bpgWCAbiJWkL(ZWRNGxZ3R69y, None, eIF9i_6N6Pnk) Wty6wh4L5H0_ = eIF9i_6N6Pnk[iyGI9pmJHTiU] Wty6wh4L5H0_.Gbej4oZqKLA6 = iyGI9pmJHTiU Wty6wh4L5H0_.OZYzwAeSQh7N = X7woN5pHuPHy Wty6wh4L5H0_.IDJ7vPpJfo1E = xafqLlk3kkUe(SXOLrMavuUCe(b'+\xb1\xfb+\xd8\xe7\x15<,\xe7R\x82'), chr(100) + chr(101) + chr(8725 - 8626) + '\157' + chr(1929 - 1829) + '\x65')('\165' + chr(8609 - 8493) + chr(102) + '\x2d' + chr(0b110101 + 0o3)) return Wty6wh4L5H0_
apache/incubator-mxnet
example/sparse/matrix_factorization/train.py
batch_row_ids
def batch_row_ids(data_batch): """ Generate row ids based on the current mini-batch """ item = data_batch.data[0] user = data_batch.data[1] return {'user_weight': user.astype(np.int64), 'item_weight': item.astype(np.int64)}
python
def batch_row_ids(data_batch): """ Generate row ids based on the current mini-batch """ item = data_batch.data[0] user = data_batch.data[1] return {'user_weight': user.astype(np.int64), 'item_weight': item.astype(np.int64)}
[ "def", "batch_row_ids", "(", "data_batch", ")", ":", "item", "=", "data_batch", ".", "data", "[", "0", "]", "user", "=", "data_batch", ".", "data", "[", "1", "]", "return", "{", "'user_weight'", ":", "user", ".", "astype", "(", "np", ".", "int64", ")", ",", "'item_weight'", ":", "item", ".", "astype", "(", "np", ".", "int64", ")", "}" ]
Generate row ids based on the current mini-batch
[ "Generate", "row", "ids", "based", "on", "the", "current", "mini", "-", "batch" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/sparse/matrix_factorization/train.py#L52-L57
train
Generate row ids based on the current mini - batch
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\066' + chr(0b11 + 0o64), 0o10), ehT0Px3KOsy9(chr(452 - 404) + '\x6f' + chr(0b1100 + 0o46) + chr(51) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3184 - 3073) + chr(0b101010 + 0o10) + chr(55) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1496 - 1446) + chr(0b10000 + 0o45) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(779 - 731) + '\157' + '\x32' + '\x33' + chr(0b110000), 19319 - 19311), ehT0Px3KOsy9('\x30' + chr(10426 - 10315) + chr(0b100110 + 0o13) + '\x31' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(903 - 852) + '\064' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010010 + 0o35) + chr(51) + '\x35' + chr(1827 - 1775), ord("\x08")), ehT0Px3KOsy9(chr(84 - 36) + chr(4519 - 4408) + chr(0b110010) + chr(709 - 656) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100001 + 0o116) + chr(570 - 520) + chr(2293 - 2240) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(101 - 52) + chr(0b110010) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(51) + chr(0b101110 + 0o5), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\064' + chr(0b100000 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(2491 - 2436) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\x30' + chr(0b100 + 0o63), 37428 - 37420), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + '\x35' + chr(0b11000 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001100 + 0o43) + '\x31' + '\064' + chr(2492 - 2442), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2305 - 2254) + chr(49) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1001 - 951) + chr(0b1100 + 0o47) + chr(0b1011 + 0o51), 8), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(0b110100) + chr(249 - 201), 0o10), ehT0Px3KOsy9(chr(2300 - 2252) + '\x6f' + chr(49) + chr(0b110001), 3759 - 3751), ehT0Px3KOsy9(chr(48) + chr(5468 - 5357) + chr(49) + '\x31' + chr(49), 7206 - 7198), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b11100 + 0o123) + chr(1646 - 1597) + chr(48) + chr(509 - 454), ord("\x08")), ehT0Px3KOsy9(chr(2092 - 2044) + chr(0b1101111) + chr(0b101010 + 0o11) + '\x36' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(585 - 537) + chr(111) + chr(135 - 85) + '\x37' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x36' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + chr(121 - 71) + chr(53) + chr(530 - 482), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(0b110010) + chr(0b110001) + chr(1499 - 1449), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + '\062' + chr(0b110010) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b11100 + 0o27) + '\063', 0o10), ehT0Px3KOsy9(chr(409 - 361) + chr(0b111000 + 0o67) + '\061' + '\x37' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(663 - 552) + chr(0b11001 + 0o32) + '\066' + '\x37', 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(52) + '\064', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1407 - 1356) + chr(0b110110) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b11101 + 0o25) + chr(55), 5372 - 5364), ehT0Px3KOsy9(chr(2053 - 2005) + chr(111) + chr(51) + chr(0b11110 + 0o22) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1000101 + 0o52) + chr(253 - 202) + chr(0b110100) + chr(1888 - 1833), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110110) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1750 - 1702) + chr(0b1101111) + chr(0b1001 + 0o51) + '\060' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(2988 - 2933) + chr(0b1101 + 0o46), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b111111 + 0o60) + '\065' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9'), chr(100) + chr(0b1100101) + '\x63' + chr(3800 - 3689) + chr(0b1011100 + 0o10) + chr(0b1100101))(chr(13312 - 13195) + '\164' + chr(0b1100110) + '\x2d' + chr(0b1110 + 0o52)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def _v2NmCTRUS4B(idr841wg0ysW): N7j7ePTXzzI0 = idr841wg0ysW.ULnjp6D6efFH[ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 36721 - 36713)] FMTb8DewMQDd = idr841wg0ysW.ULnjp6D6efFH[ehT0Px3KOsy9(chr(1164 - 1116) + chr(1719 - 1608) + '\061', 0o10)] return {xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\xef\xd8\xdd\xc78\x82\x85\xce\xc3&'), chr(8930 - 8830) + '\x65' + chr(0b100101 + 0o76) + chr(8433 - 8322) + chr(547 - 447) + '\145')('\165' + chr(0b1110100) + chr(0b1100110) + chr(224 - 179) + '\x38'): xafqLlk3kkUe(FMTb8DewMQDd, xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\xef\xc9\xd6\xe8*'), chr(100) + '\145' + chr(99) + '\x6f' + chr(0b1010110 + 0o16) + '\145')('\165' + chr(116) + chr(0b1100110) + '\x2d' + chr(0b11110 + 0o32)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\xf2\xc9\x99\xac'), chr(0b1100100) + '\145' + chr(99) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1011011 + 0o32) + chr(0b1010111 + 0o35) + chr(0b1100110) + '\055' + '\x38'))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\xe8\xd8\xc2\xc78\x82\x85\xce\xc3&'), chr(100) + chr(6473 - 6372) + '\x63' + chr(0b1101111) + chr(100) + chr(0b1100010 + 0o3))(chr(117) + '\x74' + '\146' + chr(0b101101) + chr(0b100011 + 0o25)): xafqLlk3kkUe(N7j7ePTXzzI0, xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\xef\xc9\xd6\xe8*'), chr(8639 - 8539) + chr(101) + chr(1704 - 1605) + '\157' + chr(0b1100100) + chr(6443 - 6342))('\165' + chr(116) + chr(0b1100110) + chr(255 - 210) + '\070'))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\xf2\xc9\x99\xac'), '\144' + chr(0b1100101) + '\143' + '\157' + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(1138 - 1022) + chr(0b1100110) + chr(0b110 + 0o47) + chr(0b111000))))}
apache/incubator-mxnet
example/sparse/matrix_factorization/train.py
all_row_ids
def all_row_ids(data_batch): """ Generate row ids for all rows """ all_users = mx.nd.arange(0, MOVIELENS['max_user'], dtype='int64') all_movies = mx.nd.arange(0, MOVIELENS['max_movie'], dtype='int64') return {'user_weight': all_users, 'item_weight': all_movies}
python
def all_row_ids(data_batch): """ Generate row ids for all rows """ all_users = mx.nd.arange(0, MOVIELENS['max_user'], dtype='int64') all_movies = mx.nd.arange(0, MOVIELENS['max_movie'], dtype='int64') return {'user_weight': all_users, 'item_weight': all_movies}
[ "def", "all_row_ids", "(", "data_batch", ")", ":", "all_users", "=", "mx", ".", "nd", ".", "arange", "(", "0", ",", "MOVIELENS", "[", "'max_user'", "]", ",", "dtype", "=", "'int64'", ")", "all_movies", "=", "mx", ".", "nd", ".", "arange", "(", "0", ",", "MOVIELENS", "[", "'max_movie'", "]", ",", "dtype", "=", "'int64'", ")", "return", "{", "'user_weight'", ":", "all_users", ",", "'item_weight'", ":", "all_movies", "}" ]
Generate row ids for all rows
[ "Generate", "row", "ids", "for", "all", "rows" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/sparse/matrix_factorization/train.py#L59-L63
train
Generate row ids for all rows
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(1819 - 1771) + chr(0b1101111) + chr(1842 - 1792) + chr(2420 - 2367) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(52) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(922 - 874) + chr(0b11001 + 0o126) + '\062' + '\066' + chr(883 - 832), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\x36' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(49) + chr(0b110001) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x34' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(69 - 21) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8270 - 8159) + '\062' + '\066' + '\x37', 0b1000), ehT0Px3KOsy9(chr(1673 - 1625) + chr(111) + '\x33' + chr(52) + chr(0b10011 + 0o44), 62473 - 62465), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1545 - 1496) + '\x36' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(51) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + '\061' + chr(713 - 658) + chr(0b101000 + 0o16), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b110001) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100110 + 0o14) + '\x35' + '\065', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010 + 0o0) + chr(55) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1100 + 0o46) + chr(1558 - 1505) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(452 - 404) + chr(111) + chr(0b100000 + 0o21) + chr(522 - 468) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(2250 - 2202) + '\063', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\066' + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3821 - 3710) + chr(0b10101 + 0o36) + chr(0b110111) + chr(319 - 267), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2280 - 2227) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + '\063' + chr(50) + chr(1642 - 1593), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5438 - 5327) + chr(2319 - 2270) + chr(0b110100) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6854 - 6743) + '\x32' + '\065' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(364 - 316) + '\157' + chr(0b1010 + 0o51) + chr(0b10000 + 0o45) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(9848 - 9737) + chr(1142 - 1091) + chr(287 - 239) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1076 - 1027) + chr(0b1001 + 0o56) + chr(0b110101), 46219 - 46211), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b110101 + 0o72) + chr(0b110001) + chr(2327 - 2277) + chr(0b101000 + 0o10), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + '\063' + '\066' + chr(53), 17095 - 17087), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(54) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11011 + 0o27) + chr(54) + chr(0b11010 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b110000 + 0o0) + chr(0b10 + 0o56), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\066' + chr(159 - 110), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b1111 + 0o42) + '\065' + chr(0b100010 + 0o21), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(0b11101 + 0o25) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b10011 + 0o41) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(54) + chr(900 - 849), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\061' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + '\x33' + chr(0b110101) + '\x34', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(656 - 608) + chr(0b100000 + 0o117) + '\065' + chr(0b101 + 0o53), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x83'), '\x64' + chr(101) + chr(339 - 240) + chr(111) + '\x64' + chr(0b1100101))(chr(4234 - 4117) + chr(0b100 + 0o160) + '\x66' + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def wBmPvkKRDk_j(idr841wg0ysW): VIgVayw3Gqvb = CIVheOt0RKQX.nd.arange(ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x30', ord("\x08")), xip2DrTC0_ti[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0wX\xec\x87<C\xf1'), chr(813 - 713) + chr(101) + chr(0b11111 + 0o104) + '\157' + chr(100) + '\145')('\x75' + chr(11081 - 10965) + chr(102) + chr(0b100 + 0o51) + '\x38')], dtype=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4xT\x85\xc6'), chr(1583 - 1483) + '\145' + '\x63' + chr(0b1100111 + 0o10) + '\x64' + '\x65')(chr(0b10 + 0o163) + chr(0b1000010 + 0o62) + chr(0b1000111 + 0o37) + '\055' + chr(0b111000))) w1sbSAbzpXO8 = CIVheOt0RKQX.nd.arange(ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10100 + 0o34), 8), xip2DrTC0_ti[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0wX\xec\x9f P\xea\xd2'), chr(0b1100100) + chr(5974 - 5873) + '\143' + chr(1731 - 1620) + chr(0b1100100) + '\x65')(chr(696 - 579) + '\x74' + chr(6519 - 6417) + chr(839 - 794) + chr(1667 - 1611))], dtype=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4xT\x85\xc6'), chr(100) + chr(9619 - 9518) + '\x63' + chr(111) + chr(0b1100100) + chr(0b111011 + 0o52))(chr(117) + chr(4360 - 4244) + chr(102) + chr(45) + chr(0b11101 + 0o33))) return {xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8eE\xc1\xad8C\xea\xd0\x8f\x04'), chr(0b1100100) + '\145' + chr(0b110111 + 0o54) + '\157' + chr(100) + chr(101))('\x75' + chr(8621 - 8505) + chr(0b1000101 + 0o41) + chr(0b101101) + chr(2270 - 2214)): VIgVayw3Gqvb, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4bE\xde\xad8C\xea\xd0\x8f\x04'), chr(0b1100100) + chr(0b1011110 + 0o7) + chr(99) + '\157' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(116) + chr(1050 - 948) + '\055' + chr(0b101111 + 0o11)): w1sbSAbzpXO8}
apache/incubator-mxnet
example/ssd/tools/caffe_converter/convert_model.py
convert_model
def convert_model(prototxt_fname, caffemodel_fname, output_prefix=None): """Convert caffe model Parameters ---------- prototxt_fname : str Filename of the prototxt model definition caffemodel_fname : str Filename of the binary caffe model output_prefix : str, optinoal If given, then save the converted MXNet into output_prefx+'.json' and output_prefx+'.params' Returns ------- sym : Symbol Symbol convereted from prototxt arg_params : list of NDArray Argument parameters aux_params : list of NDArray Aux parameters input_dim : tuple Input dimension """ sym, input_dim = convert_symbol(prototxt_fname) arg_shapes, _, aux_shapes = sym.infer_shape(data=tuple(input_dim)) arg_names = sym.list_arguments() aux_names = sym.list_auxiliary_states() arg_shape_dic = dict(zip(arg_names, arg_shapes)) aux_shape_dic = dict(zip(aux_names, aux_shapes)) arg_params = {} aux_params = {} first_conv = True layers, names = caffe_parser.read_caffemodel(prototxt_fname, caffemodel_fname) layer_iter = caffe_parser.layer_iter(layers, names) layers_proto = caffe_parser.get_layers(caffe_parser.read_prototxt(prototxt_fname)) for layer_name, layer_type, layer_blobs in layer_iter: if layer_type == 'Convolution' or layer_type == 'InnerProduct' \ or layer_type == 4 or layer_type == 14 or layer_type == 'PReLU' \ or layer_type == 'Deconvolution' or layer_type == 39 or layer_type == 'Normalize': if layer_type == 'PReLU': assert (len(layer_blobs) == 1) wmat = layer_blobs[0].data weight_name = layer_name + '_gamma' arg_params[weight_name] = mx.nd.zeros(wmat.shape) arg_params[weight_name][:] = wmat continue if layer_type == 'Normalize': assert (len(layer_blobs) == 1) weight_name = layer_name + '_scale' wmat = layer_blobs[0].data arg_params[weight_name] = mx.nd.zeros((1, len(wmat), 1, 1)) arg_params[weight_name][:] = np.array(list(wmat)).reshape((1, len(wmat), 1, 1)) continue wmat_dim = [] if getattr(layer_blobs[0].shape, 'dim', None) is not None: if len(layer_blobs[0].shape.dim) > 0: wmat_dim = layer_blobs[0].shape.dim else: wmat_dim = [layer_blobs[0].num, layer_blobs[0].channels, layer_blobs[0].height, layer_blobs[0].width] else: wmat_dim = list(layer_blobs[0].shape) wmat = np.array(layer_blobs[0].data).reshape(wmat_dim) channels = wmat_dim[1] if channels == 3 or channels == 4: # RGB or RGBA if first_conv: # Swapping BGR of caffe into RGB in mxnet wmat[:, [0, 2], :, :] = wmat[:, [2, 0], :, :] assert(wmat.flags['C_CONTIGUOUS'] is True) sys.stdout.write('converting layer {0}, wmat shape = {1}'.format( layer_name, wmat.shape)) if len(layer_blobs) == 2: bias = np.array(layer_blobs[1].data) bias = bias.reshape((bias.shape[0], 1)) assert(bias.flags['C_CONTIGUOUS'] is True) bias_name = layer_name + "_bias" if bias_name not in arg_shape_dic: print(bias_name + ' not found in arg_shape_dic.') continue bias = bias.reshape(arg_shape_dic[bias_name]) arg_params[bias_name] = mx.nd.zeros(bias.shape) arg_params[bias_name][:] = bias sys.stdout.write(', bias shape = {}'.format(bias.shape)) sys.stdout.write('\n') sys.stdout.flush() wmat = wmat.reshape((wmat.shape[0], -1)) weight_name = layer_name + "_weight" if weight_name not in arg_shape_dic: print(weight_name + ' not found in arg_shape_dic.') continue wmat = wmat.reshape(arg_shape_dic[weight_name]) arg_params[weight_name] = mx.nd.zeros(wmat.shape) arg_params[weight_name][:] = wmat if first_conv and (layer_type == 'Convolution' or layer_type == 4): first_conv = False elif layer_type == 'Scale': if 'scale' in layer_name: bn_name = layer_name.replace('scale', 'bn') elif 'sc' in layer_name: bn_name = layer_name.replace('sc', 'bn') else: assert False, 'Unknown name convention for bn/scale' gamma = np.array(layer_blobs[0].data) beta = np.array(layer_blobs[1].data) # beta = np.expand_dims(beta, 1) beta_name = '{}_beta'.format(bn_name) gamma_name = '{}_gamma'.format(bn_name) beta = beta.reshape(arg_shape_dic[beta_name]) gamma = gamma.reshape(arg_shape_dic[gamma_name]) arg_params[beta_name] = mx.nd.zeros(beta.shape) arg_params[gamma_name] = mx.nd.zeros(gamma.shape) arg_params[beta_name][:] = beta arg_params[gamma_name][:] = gamma assert gamma.flags['C_CONTIGUOUS'] is True assert beta.flags['C_CONTIGUOUS'] is True print('converting scale layer, beta shape = {}, gamma shape = {}'.format( beta.shape, gamma.shape)) elif layer_type == 'BatchNorm': bn_name = layer_name mean = np.array(layer_blobs[0].data) var = np.array(layer_blobs[1].data) rescale_factor = layer_blobs[2].data[0] if rescale_factor != 0: rescale_factor = 1 / rescale_factor mean_name = '{}_moving_mean'.format(bn_name) var_name = '{}_moving_var'.format(bn_name) mean = mean.reshape(aux_shape_dic[mean_name]) var = var.reshape(aux_shape_dic[var_name]) aux_params[mean_name] = mx.nd.zeros(mean.shape) aux_params[var_name] = mx.nd.zeros(var.shape) # Get the original epsilon for idx, layer in enumerate(layers_proto): if layer.name == bn_name: bn_index = idx eps_caffe = layers_proto[bn_index].batch_norm_param.eps # Compensate for the epsilon shift performed in convert_symbol eps_symbol = float(sym.attr_dict()[bn_name + '_moving_mean']['eps']) eps_correction = eps_caffe - eps_symbol # Fill parameters aux_params[mean_name][:] = mean * rescale_factor aux_params[var_name][:] = var * rescale_factor + eps_correction assert var.flags['C_CONTIGUOUS'] is True assert mean.flags['C_CONTIGUOUS'] is True print('converting batchnorm layer, mean shape = {}, var shape = {}'.format( mean.shape, var.shape)) fix_gamma = layers_proto[bn_index+1].type != 'Scale' if fix_gamma: gamma_name = '{}_gamma'.format(bn_name) gamma = np.array(np.ones(arg_shape_dic[gamma_name])) beta_name = '{}_beta'.format(bn_name) beta = np.array(np.zeros(arg_shape_dic[beta_name])) arg_params[beta_name] = mx.nd.zeros(beta.shape) arg_params[gamma_name] = mx.nd.zeros(gamma.shape) arg_params[beta_name][:] = beta arg_params[gamma_name][:] = gamma assert gamma.flags['C_CONTIGUOUS'] is True assert beta.flags['C_CONTIGUOUS'] is True else: print('\tskipping layer {} of type {}'.format(layer_name, layer_type)) assert len(layer_blobs) == 0 if output_prefix is not None: model = mx.mod.Module(symbol=sym, label_names=None) model.bind(data_shapes=[('data', tuple(input_dim))]) model.init_params(arg_params=arg_params, aux_params=aux_params) model.save_checkpoint(output_prefix, 0) return sym, arg_params, aux_params, input_dim
python
def convert_model(prototxt_fname, caffemodel_fname, output_prefix=None): """Convert caffe model Parameters ---------- prototxt_fname : str Filename of the prototxt model definition caffemodel_fname : str Filename of the binary caffe model output_prefix : str, optinoal If given, then save the converted MXNet into output_prefx+'.json' and output_prefx+'.params' Returns ------- sym : Symbol Symbol convereted from prototxt arg_params : list of NDArray Argument parameters aux_params : list of NDArray Aux parameters input_dim : tuple Input dimension """ sym, input_dim = convert_symbol(prototxt_fname) arg_shapes, _, aux_shapes = sym.infer_shape(data=tuple(input_dim)) arg_names = sym.list_arguments() aux_names = sym.list_auxiliary_states() arg_shape_dic = dict(zip(arg_names, arg_shapes)) aux_shape_dic = dict(zip(aux_names, aux_shapes)) arg_params = {} aux_params = {} first_conv = True layers, names = caffe_parser.read_caffemodel(prototxt_fname, caffemodel_fname) layer_iter = caffe_parser.layer_iter(layers, names) layers_proto = caffe_parser.get_layers(caffe_parser.read_prototxt(prototxt_fname)) for layer_name, layer_type, layer_blobs in layer_iter: if layer_type == 'Convolution' or layer_type == 'InnerProduct' \ or layer_type == 4 or layer_type == 14 or layer_type == 'PReLU' \ or layer_type == 'Deconvolution' or layer_type == 39 or layer_type == 'Normalize': if layer_type == 'PReLU': assert (len(layer_blobs) == 1) wmat = layer_blobs[0].data weight_name = layer_name + '_gamma' arg_params[weight_name] = mx.nd.zeros(wmat.shape) arg_params[weight_name][:] = wmat continue if layer_type == 'Normalize': assert (len(layer_blobs) == 1) weight_name = layer_name + '_scale' wmat = layer_blobs[0].data arg_params[weight_name] = mx.nd.zeros((1, len(wmat), 1, 1)) arg_params[weight_name][:] = np.array(list(wmat)).reshape((1, len(wmat), 1, 1)) continue wmat_dim = [] if getattr(layer_blobs[0].shape, 'dim', None) is not None: if len(layer_blobs[0].shape.dim) > 0: wmat_dim = layer_blobs[0].shape.dim else: wmat_dim = [layer_blobs[0].num, layer_blobs[0].channels, layer_blobs[0].height, layer_blobs[0].width] else: wmat_dim = list(layer_blobs[0].shape) wmat = np.array(layer_blobs[0].data).reshape(wmat_dim) channels = wmat_dim[1] if channels == 3 or channels == 4: # RGB or RGBA if first_conv: # Swapping BGR of caffe into RGB in mxnet wmat[:, [0, 2], :, :] = wmat[:, [2, 0], :, :] assert(wmat.flags['C_CONTIGUOUS'] is True) sys.stdout.write('converting layer {0}, wmat shape = {1}'.format( layer_name, wmat.shape)) if len(layer_blobs) == 2: bias = np.array(layer_blobs[1].data) bias = bias.reshape((bias.shape[0], 1)) assert(bias.flags['C_CONTIGUOUS'] is True) bias_name = layer_name + "_bias" if bias_name not in arg_shape_dic: print(bias_name + ' not found in arg_shape_dic.') continue bias = bias.reshape(arg_shape_dic[bias_name]) arg_params[bias_name] = mx.nd.zeros(bias.shape) arg_params[bias_name][:] = bias sys.stdout.write(', bias shape = {}'.format(bias.shape)) sys.stdout.write('\n') sys.stdout.flush() wmat = wmat.reshape((wmat.shape[0], -1)) weight_name = layer_name + "_weight" if weight_name not in arg_shape_dic: print(weight_name + ' not found in arg_shape_dic.') continue wmat = wmat.reshape(arg_shape_dic[weight_name]) arg_params[weight_name] = mx.nd.zeros(wmat.shape) arg_params[weight_name][:] = wmat if first_conv and (layer_type == 'Convolution' or layer_type == 4): first_conv = False elif layer_type == 'Scale': if 'scale' in layer_name: bn_name = layer_name.replace('scale', 'bn') elif 'sc' in layer_name: bn_name = layer_name.replace('sc', 'bn') else: assert False, 'Unknown name convention for bn/scale' gamma = np.array(layer_blobs[0].data) beta = np.array(layer_blobs[1].data) # beta = np.expand_dims(beta, 1) beta_name = '{}_beta'.format(bn_name) gamma_name = '{}_gamma'.format(bn_name) beta = beta.reshape(arg_shape_dic[beta_name]) gamma = gamma.reshape(arg_shape_dic[gamma_name]) arg_params[beta_name] = mx.nd.zeros(beta.shape) arg_params[gamma_name] = mx.nd.zeros(gamma.shape) arg_params[beta_name][:] = beta arg_params[gamma_name][:] = gamma assert gamma.flags['C_CONTIGUOUS'] is True assert beta.flags['C_CONTIGUOUS'] is True print('converting scale layer, beta shape = {}, gamma shape = {}'.format( beta.shape, gamma.shape)) elif layer_type == 'BatchNorm': bn_name = layer_name mean = np.array(layer_blobs[0].data) var = np.array(layer_blobs[1].data) rescale_factor = layer_blobs[2].data[0] if rescale_factor != 0: rescale_factor = 1 / rescale_factor mean_name = '{}_moving_mean'.format(bn_name) var_name = '{}_moving_var'.format(bn_name) mean = mean.reshape(aux_shape_dic[mean_name]) var = var.reshape(aux_shape_dic[var_name]) aux_params[mean_name] = mx.nd.zeros(mean.shape) aux_params[var_name] = mx.nd.zeros(var.shape) # Get the original epsilon for idx, layer in enumerate(layers_proto): if layer.name == bn_name: bn_index = idx eps_caffe = layers_proto[bn_index].batch_norm_param.eps # Compensate for the epsilon shift performed in convert_symbol eps_symbol = float(sym.attr_dict()[bn_name + '_moving_mean']['eps']) eps_correction = eps_caffe - eps_symbol # Fill parameters aux_params[mean_name][:] = mean * rescale_factor aux_params[var_name][:] = var * rescale_factor + eps_correction assert var.flags['C_CONTIGUOUS'] is True assert mean.flags['C_CONTIGUOUS'] is True print('converting batchnorm layer, mean shape = {}, var shape = {}'.format( mean.shape, var.shape)) fix_gamma = layers_proto[bn_index+1].type != 'Scale' if fix_gamma: gamma_name = '{}_gamma'.format(bn_name) gamma = np.array(np.ones(arg_shape_dic[gamma_name])) beta_name = '{}_beta'.format(bn_name) beta = np.array(np.zeros(arg_shape_dic[beta_name])) arg_params[beta_name] = mx.nd.zeros(beta.shape) arg_params[gamma_name] = mx.nd.zeros(gamma.shape) arg_params[beta_name][:] = beta arg_params[gamma_name][:] = gamma assert gamma.flags['C_CONTIGUOUS'] is True assert beta.flags['C_CONTIGUOUS'] is True else: print('\tskipping layer {} of type {}'.format(layer_name, layer_type)) assert len(layer_blobs) == 0 if output_prefix is not None: model = mx.mod.Module(symbol=sym, label_names=None) model.bind(data_shapes=[('data', tuple(input_dim))]) model.init_params(arg_params=arg_params, aux_params=aux_params) model.save_checkpoint(output_prefix, 0) return sym, arg_params, aux_params, input_dim
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"]", ".", "data", ")", "# beta = np.expand_dims(beta, 1)", "beta_name", "=", "'{}_beta'", ".", "format", "(", "bn_name", ")", "gamma_name", "=", "'{}_gamma'", ".", "format", "(", "bn_name", ")", "beta", "=", "beta", ".", "reshape", "(", "arg_shape_dic", "[", "beta_name", "]", ")", "gamma", "=", "gamma", ".", "reshape", "(", "arg_shape_dic", "[", "gamma_name", "]", ")", "arg_params", "[", "beta_name", "]", "=", "mx", ".", "nd", ".", "zeros", "(", "beta", ".", "shape", ")", "arg_params", "[", "gamma_name", "]", "=", "mx", ".", "nd", ".", "zeros", "(", "gamma", ".", "shape", ")", "arg_params", "[", "beta_name", "]", "[", ":", "]", "=", "beta", "arg_params", "[", "gamma_name", "]", "[", ":", "]", "=", "gamma", "assert", "gamma", ".", "flags", "[", "'C_CONTIGUOUS'", "]", "is", "True", "assert", "beta", ".", "flags", "[", "'C_CONTIGUOUS'", "]", "is", "True", "print", "(", "'converting scale layer, beta shape = {}, gamma shape = {}'", ".", "format", "(", "beta", ".", "shape", ",", "gamma", 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"for", "idx", ",", "layer", "in", "enumerate", "(", "layers_proto", ")", ":", "if", "layer", ".", "name", "==", "bn_name", ":", "bn_index", "=", "idx", "eps_caffe", "=", "layers_proto", "[", "bn_index", "]", ".", "batch_norm_param", ".", "eps", "# Compensate for the epsilon shift performed in convert_symbol", "eps_symbol", "=", "float", "(", "sym", ".", "attr_dict", "(", ")", "[", "bn_name", "+", "'_moving_mean'", "]", "[", "'eps'", "]", ")", "eps_correction", "=", "eps_caffe", "-", "eps_symbol", "# Fill parameters", "aux_params", "[", "mean_name", "]", "[", ":", "]", "=", "mean", "*", "rescale_factor", "aux_params", "[", "var_name", "]", "[", ":", "]", "=", "var", "*", "rescale_factor", "+", "eps_correction", "assert", "var", ".", "flags", "[", "'C_CONTIGUOUS'", "]", "is", "True", "assert", "mean", ".", "flags", "[", "'C_CONTIGUOUS'", "]", "is", "True", "print", "(", "'converting batchnorm layer, mean shape = {}, var shape = {}'", ".", "format", "(", "mean", ".", "shape", ",", "var", 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Convert caffe model Parameters ---------- prototxt_fname : str Filename of the prototxt model definition caffemodel_fname : str Filename of the binary caffe model output_prefix : str, optinoal If given, then save the converted MXNet into output_prefx+'.json' and output_prefx+'.params' Returns ------- sym : Symbol Symbol convereted from prototxt arg_params : list of NDArray Argument parameters aux_params : list of NDArray Aux parameters input_dim : tuple Input dimension
[ "Convert", "caffe", "model" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/tools/caffe_converter/convert_model.py#L26-L210
train
Convert a binary caffe model into a single MXNet 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('\060' + chr(0b1101111) + chr(53) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11166 - 11055) + chr(49) + chr(0b110011) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b110000) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1340 - 1291) + chr(927 - 873) + '\065', 50121 - 50113), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2371 - 2321) + chr(53) + chr(0b110110), 12208 - 12200), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(52), 14565 - 14557), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(0b101 + 0o56) + chr(0b110001) + '\063', 51878 - 51870), ehT0Px3KOsy9('\x30' + chr(6565 - 6454) + chr(0b110011) + chr(53), 29563 - 29555), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(0b1001 + 0o51) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1826 - 1778) + chr(0b110 + 0o151) + chr(50) + chr(1956 - 1902), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1092 - 1043) + chr(48) + chr(2154 - 2104), 0b1000), ehT0Px3KOsy9('\x30' + chr(5361 - 5250) + '\063' + chr(0b110010) + chr(1572 - 1520), 21244 - 21236), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(2358 - 2309) + '\060' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(52) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1893 - 1844) + chr(748 - 693), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\x35' + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(184 - 135) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + chr(2475 - 2420) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\060' + chr(0b101001 + 0o10), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101) + '\x30', 10808 - 10800), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(11559 - 11448) + chr(0b110010) + '\x36' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\x32' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\x36' + chr(0b110101), 8), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + chr(0b110010) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b111 + 0o55) + chr(215 - 164), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(54) + chr(1624 - 1575), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(0b110010) + '\x35' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(1055 - 1001) + chr(0b1110 + 0o47), 52900 - 52892), ehT0Px3KOsy9(chr(1161 - 1113) + chr(0b1101111) + '\x33' + chr(0b1100 + 0o45) + chr(1983 - 1934), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5127 - 5016) + chr(1364 - 1313) + chr(1818 - 1764) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(3994 - 3883) + chr(50) + '\x32' + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + '\x37' + chr(0b111 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51), 64055 - 64047), ehT0Px3KOsy9(chr(887 - 839) + chr(0b1011 + 0o144) + '\x33' + '\067' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(3516 - 3405) + '\x31' + chr(1301 - 1247) + chr(230 - 181), 61710 - 61702), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2241 - 2190) + chr(942 - 889), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1110 + 0o47) + chr(0b100101 + 0o13), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x03'), chr(0b1100100) + chr(101) + '\143' + '\157' + chr(100) + '\145')('\165' + chr(0b1110100) + chr(2488 - 2386) + '\055' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def yT0nVJfcSxLw(K7CT4b1_DoTc, rjjGB7Ve9o7H, czf0lsug66YA=None): (I7QF3KlS7cYz, O0Pt4_FWG7IN) = awAsuGqqXRR3(K7CT4b1_DoTc) (XjvwovEN6dlZ, VNGQdHSFPrso, Jc3yDgbCJFms) = I7QF3KlS7cYz.infer_shape(data=KNyTy8rYcwji(O0Pt4_FWG7IN)) YjuRZH4bY1wk = I7QF3KlS7cYz.list_arguments() kNWn4vwNYXUk = I7QF3KlS7cYz.list_auxiliary_states() ghFP1g97Hbo_ = wLqBDw8l0eIm(pZ0NK2y6HRbn(YjuRZH4bY1wk, XjvwovEN6dlZ)) tEScazrPjTfU = wLqBDw8l0eIm(pZ0NK2y6HRbn(kNWn4vwNYXUk, Jc3yDgbCJFms)) GroVdzCONmWS = {} p9GVyAqRTTRh = {} fOeY2tfCxtDi = ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + chr(49), 0o10) (sGi5Aql23May, OcnR1hZ7pGdr) = T8Gj9SRAp9oN.read_caffemodel(K7CT4b1_DoTc, rjjGB7Ve9o7H) EIH2EnC5HcgW = T8Gj9SRAp9oN.layer_iter(sGi5Aql23May, OcnR1hZ7pGdr) P4OSUPE7mwW2 = T8Gj9SRAp9oN.get_layers(T8Gj9SRAp9oN.read_prototxt(K7CT4b1_DoTc)) for (YzJBPucQyDh2, nF24o7I0_Wgs, GefaWGLgIZIr) in EIH2EnC5HcgW: if nF24o7I0_Wgs == xafqLlk3kkUe(SXOLrMavuUCe(b'n1\xa8\x03\xc1}w`m\xa4s'), chr(0b1100100) + '\x65' + '\143' + '\157' + chr(0b1100100) + chr(0b1010000 + 0o25))(chr(117) + '\164' + chr(1845 - 1743) + chr(1331 - 1286) + chr(1694 - 1638)) or nF24o7I0_Wgs == xafqLlk3kkUe(SXOLrMavuUCe(b'd0\xa8\x10\xdcAp{`\xbe~v'), '\144' + chr(0b1001100 + 0o31) + '\x63' + chr(2859 - 2748) + chr(3435 - 3335) + '\x65')(chr(0b1110101) + '\x74' + '\146' + '\055' + chr(0b100110 + 0o22)) or nF24o7I0_Wgs == ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(52), 8) or (nF24o7I0_Wgs == ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(0b11001 + 0o30) + chr(0b0 + 0o66), ord("\x08"))) or (nF24o7I0_Wgs == xafqLlk3kkUe(SXOLrMavuUCe(b'}\x0c\xa39\xfb'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(2754 - 2643) + '\144' + chr(3415 - 3314))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(791 - 735))) or (nF24o7I0_Wgs == xafqLlk3kkUe(SXOLrMavuUCe(b'i;\xa5\x1a\xc0gmxq\xbftm~'), chr(4806 - 4706) + '\145' + chr(99) + chr(111) + '\144' + chr(3793 - 3692))(chr(117) + chr(116) + '\146' + '\055' + chr(0b100010 + 0o26))) or (nF24o7I0_Wgs == ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + '\x34' + '\067', ord("\x08"))) or (nF24o7I0_Wgs == xafqLlk3kkUe(SXOLrMavuUCe(b'c1\xb4\x18\xcf}kna'), chr(0b1100100) + chr(1961 - 1860) + '\143' + chr(0b11 + 0o154) + chr(0b110011 + 0o61) + '\x65')(chr(117) + chr(0b11 + 0o161) + '\146' + chr(45) + chr(0b110100 + 0o4))): if nF24o7I0_Wgs == xafqLlk3kkUe(SXOLrMavuUCe(b'}\x0c\xa39\xfb'), chr(100) + '\x65' + '\143' + chr(0b1011111 + 0o20) + chr(0b1010011 + 0o21) + chr(0b1100101))('\165' + '\x74' + chr(0b1011001 + 0o15) + chr(0b101001 + 0o4) + '\070'): assert c2A0yzQpDQB3(GefaWGLgIZIr) == ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 8) fzIw8pids3cF = GefaWGLgIZIr[ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(1400 - 1352), 0b1000)].ULnjp6D6efFH BHLV_3sVvvE_ = YzJBPucQyDh2 + xafqLlk3kkUe(SXOLrMavuUCe(b'r9\xa7\x18\xc3p'), chr(0b1100100) + '\145' + '\143' + '\x6f' + chr(0b1100100) + chr(0b10110 + 0o117))(chr(12467 - 12350) + chr(0b1110100) + chr(4015 - 3913) + chr(0b101101) + chr(56)) GroVdzCONmWS[BHLV_3sVvvE_] = CIVheOt0RKQX.nd.zeros(fzIw8pids3cF.nauYfLglTpcb) GroVdzCONmWS[BHLV_3sVvvE_][:] = fzIw8pids3cF continue if nF24o7I0_Wgs == xafqLlk3kkUe(SXOLrMavuUCe(b'c1\xb4\x18\xcf}kna'), '\144' + chr(0b11 + 0o142) + '\143' + chr(0b1101111) + '\144' + '\145')(chr(7954 - 7837) + chr(2189 - 2073) + '\x66' + chr(45) + chr(56)): assert c2A0yzQpDQB3(GefaWGLgIZIr) == ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 8) BHLV_3sVvvE_ = YzJBPucQyDh2 + xafqLlk3kkUe(SXOLrMavuUCe(b'r-\xa5\x14\xc2t'), '\144' + chr(5027 - 4926) + '\x63' + chr(0b1001111 + 0o40) + chr(0b1001011 + 0o31) + chr(101))(chr(5674 - 5557) + '\x74' + chr(671 - 569) + chr(0b101101) + chr(0b10000 + 0o50)) fzIw8pids3cF = GefaWGLgIZIr[ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b10100 + 0o34), 8)].ULnjp6D6efFH GroVdzCONmWS[BHLV_3sVvvE_] = CIVheOt0RKQX.nd.zeros((ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061', 8), c2A0yzQpDQB3(fzIw8pids3cF), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101 + 0o142) + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49), 8))) GroVdzCONmWS[BHLV_3sVvvE_][:] = WqUC3KWvYVup.array(YyaZ4tpXu4lf(fzIw8pids3cF)).reshape((ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(1418 - 1307) + chr(312 - 263), 8), c2A0yzQpDQB3(fzIw8pids3cF), ehT0Px3KOsy9(chr(1537 - 1489) + chr(0b10110 + 0o131) + chr(49), 8), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + chr(0b101000 + 0o11), 8))) continue i1_24YHI23wN = [] if xafqLlk3kkUe(xafqLlk3kkUe(GefaWGLgIZIr[ehT0Px3KOsy9(chr(860 - 812) + chr(111) + chr(48), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'C?\xb3,\xc8]exP\xbb~`'), '\144' + chr(3941 - 3840) + '\143' + chr(111) + chr(0b110010 + 0o62) + chr(3011 - 2910))(chr(0b1001101 + 0o50) + chr(0b1110100) + chr(0b1000101 + 0o41) + chr(622 - 577) + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'I7\xab'), chr(0b101001 + 0o73) + chr(0b1100101) + chr(0b101010 + 0o71) + chr(0b1101111) + '\x64' + chr(6622 - 6521))(chr(0b1110101) + '\x74' + chr(102) + chr(0b11110 + 0o17) + '\x38'), None) is not None: if c2A0yzQpDQB3(xafqLlk3kkUe(GefaWGLgIZIr[ehT0Px3KOsy9(chr(48) + chr(10728 - 10617) + '\060', 8)].shape, xafqLlk3kkUe(SXOLrMavuUCe(b'I7\xab'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1000010 + 0o55) + '\x64' + '\145')('\x75' + '\164' + chr(6452 - 6350) + '\x2d' + chr(0b110111 + 0o1)))) > ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + '\060', 8): i1_24YHI23wN = GefaWGLgIZIr[ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b110000), 8)].shape.dim else: i1_24YHI23wN = [GefaWGLgIZIr[ehT0Px3KOsy9('\060' + '\157' + '\060', 8)].num, GefaWGLgIZIr[ehT0Px3KOsy9('\x30' + '\157' + '\x30', 8)].channels, GefaWGLgIZIr[ehT0Px3KOsy9(chr(2034 - 1986) + chr(111) + '\x30', 8)].ehbUULKuygfC, GefaWGLgIZIr[ehT0Px3KOsy9('\x30' + '\x6f' + '\x30', 8)].mPx09rBTrGXR] else: i1_24YHI23wN = YyaZ4tpXu4lf(GefaWGLgIZIr[ehT0Px3KOsy9(chr(0b110000) + chr(0b1000000 + 0o57) + chr(1290 - 1242), 8)].nauYfLglTpcb) fzIw8pids3cF = WqUC3KWvYVup.array(GefaWGLgIZIr[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10100 + 0o34), 8)].data).reshape(i1_24YHI23wN) H2MQqAZeamNo = i1_24YHI23wN[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b111 + 0o52), 8)] if H2MQqAZeamNo == ehT0Px3KOsy9('\060' + chr(0b10 + 0o155) + chr(0b100001 + 0o22), 8) or H2MQqAZeamNo == ehT0Px3KOsy9(chr(48) + '\x6f' + '\064', 8): if fOeY2tfCxtDi: fzIw8pids3cF[:, [ehT0Px3KOsy9(chr(0b110000) + chr(11106 - 10995) + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50), 8)], :, :] = fzIw8pids3cF[:, [ehT0Px3KOsy9('\x30' + '\157' + chr(0b1 + 0o61), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 8)], :, :] assert xafqLlk3kkUe(fzIw8pids3cF, xafqLlk3kkUe(SXOLrMavuUCe(b'yk\xf1?\xf4Fc]S\xa9of'), chr(100) + '\x65' + chr(8136 - 8037) + '\157' + chr(7059 - 6959) + '\x65')(chr(117) + '\x74' + chr(0b1100110) + '\055' + chr(0b111000)))[xafqLlk3kkUe(SXOLrMavuUCe(b'n\x01\x85:\xe0EKSQ\x84HQ'), chr(0b1100100) + '\x65' + '\143' + chr(8608 - 8497) + '\144' + chr(0b111100 + 0o51))('\165' + chr(12284 - 12168) + '\x66' + chr(0b10110 + 0o27) + '\x38')] is ehT0Px3KOsy9(chr(1690 - 1642) + '\x6f' + '\x31', 8) xafqLlk3kkUe(a2SYDDomXDZ2.stdout, xafqLlk3kkUe(SXOLrMavuUCe(b'Z,\xaf\x01\xcb'), '\x64' + chr(1861 - 1760) + chr(0b11111 + 0o104) + chr(11884 - 11773) + chr(0b1111 + 0o125) + chr(0b1100101))('\165' + chr(0b101000 + 0o114) + chr(0b1010101 + 0o21) + chr(1798 - 1753) + chr(56)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b"N1\xa8\x03\xcbcv}j\xac=nqo'\xa6c\x1a?\x97b\x19\xf6E\xd7\xe2Uf\xcb\xd0\xd9\x90\xe9\xca\xb3D2\x81"), chr(0b1011100 + 0o10) + chr(0b1001101 + 0o30) + chr(0b1010011 + 0o20) + chr(0b1101111) + chr(100) + chr(0b1011011 + 0o12))(chr(0b101 + 0o160) + chr(7740 - 7624) + chr(10165 - 10063) + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b"{j\xb4\x1a\xe6pQ'T\xbbxh"), chr(0b1011110 + 0o6) + chr(0b1100101) + chr(9206 - 9107) + chr(7428 - 7317) + chr(0b1000111 + 0o35) + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b1100110) + chr(45) + '\070'))(YzJBPucQyDh2, xafqLlk3kkUe(fzIw8pids3cF, xafqLlk3kkUe(SXOLrMavuUCe(b'C?\xb3,\xc8]exP\xbb~`'), '\x64' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(9481 - 9381) + chr(8247 - 8146))('\165' + chr(116) + '\x66' + chr(0b11010 + 0o23) + chr(0b100110 + 0o22))))) if c2A0yzQpDQB3(GefaWGLgIZIr) == ehT0Px3KOsy9('\060' + chr(1981 - 1870) + '\062', 8): IKTrMTySqz10 = WqUC3KWvYVup.B0ePDhpqxN5n(GefaWGLgIZIr[ehT0Px3KOsy9(chr(240 - 192) + '\x6f' + '\x31', 8)].ULnjp6D6efFH) IKTrMTySqz10 = IKTrMTySqz10.reshape((IKTrMTySqz10.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(0b101001 + 0o7), 8)], ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(4906 - 4795) + chr(0b100110 + 0o13), 8))) assert xafqLlk3kkUe(IKTrMTySqz10, xafqLlk3kkUe(SXOLrMavuUCe(b'yk\xf1?\xf4Fc]S\xa9of'), chr(0b1100100) + '\145' + '\143' + chr(111) + chr(3343 - 3243) + chr(0b100000 + 0o105))('\x75' + chr(5923 - 5807) + '\146' + chr(0b101101) + '\070'))[xafqLlk3kkUe(SXOLrMavuUCe(b'n\x01\x85:\xe0EKSQ\x84HQ'), '\144' + chr(0b1011001 + 0o14) + chr(0b1010110 + 0o15) + chr(0b1101111) + '\x64' + chr(809 - 708))('\165' + chr(116) + chr(6429 - 6327) + chr(1414 - 1369) + '\x38')] is ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061', 8) fOtr7k7hfkc0 = YzJBPucQyDh2 + xafqLlk3kkUe(SXOLrMavuUCe(b'r<\xaf\x14\xdd'), chr(7245 - 7145) + chr(0b1010000 + 0o25) + '\143' + '\157' + chr(0b1100100) + chr(8097 - 7996))(chr(9977 - 9860) + chr(0b1110100) + chr(5262 - 5160) + chr(1421 - 1376) + chr(0b110 + 0o62)) if fOtr7k7hfkc0 not in ghFP1g97Hbo_: zLUzGokYBM2Z(fOtr7k7hfkc0 + xafqLlk3kkUe(SXOLrMavuUCe(b'\r0\xa9\x01\x8ewmaj\xaf=k~6#\xa6$>|\x82/I\xe4w\xd2\xff\x16;'), chr(0b100000 + 0o104) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(3051 - 2950))(chr(0b1001110 + 0o47) + chr(0b1110100) + chr(2169 - 2067) + chr(0b0 + 0o55) + chr(0b110111 + 0o1))) continue IKTrMTySqz10 = IKTrMTySqz10.reshape(ghFP1g97Hbo_[fOtr7k7hfkc0]) GroVdzCONmWS[fOtr7k7hfkc0] = CIVheOt0RKQX.nd.zeros(IKTrMTySqz10.nauYfLglTpcb) GroVdzCONmWS[fOtr7k7hfkc0][:] = IKTrMTySqz10 xafqLlk3kkUe(a2SYDDomXDZ2.stdout, xafqLlk3kkUe(SXOLrMavuUCe(b'Z,\xaf\x01\xcb'), chr(0b1100100) + '\x65' + chr(5788 - 5689) + chr(0b1101111) + chr(0b1011010 + 0o12) + chr(101))(chr(0b1110101) + chr(0b1011110 + 0o26) + '\146' + chr(0b11101 + 0o20) + chr(0b111000)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x01~\xa4\x1c\xcfb"gl\xaamg0+b\xaf>'), '\144' + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(3365 - 3264))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b100100 + 0o24)), xafqLlk3kkUe(SXOLrMavuUCe(b"{j\xb4\x1a\xe6pQ'T\xbbxh"), '\x64' + '\145' + '\x63' + chr(111) + '\x64' + chr(0b10 + 0o143))(chr(0b1110101) + chr(0b1110100) + chr(7052 - 6950) + chr(0b10000 + 0o35) + '\070'))(xafqLlk3kkUe(IKTrMTySqz10, xafqLlk3kkUe(SXOLrMavuUCe(b'C?\xb3,\xc8]exP\xbb~`'), chr(479 - 379) + chr(0b1100101) + chr(0b1100011) + chr(2643 - 2532) + chr(100) + chr(0b1000010 + 0o43))(chr(0b1110000 + 0o5) + chr(0b10000 + 0o144) + '\x66' + chr(238 - 193) + chr(56))))) xafqLlk3kkUe(a2SYDDomXDZ2.stdout, xafqLlk3kkUe(SXOLrMavuUCe(b'Z,\xaf\x01\xcb'), '\144' + chr(101) + chr(8825 - 8726) + '\157' + chr(0b1010101 + 0o17) + chr(101))('\165' + '\164' + chr(2238 - 2136) + chr(0b101101) + chr(0b110101 + 0o3)))(xafqLlk3kkUe(SXOLrMavuUCe(b"'"), chr(0b110101 + 0o57) + '\x65' + chr(99) + '\x6f' + chr(0b1111 + 0o125) + chr(0b1100101))('\x75' + '\164' + chr(0b1010001 + 0o25) + chr(45) + '\x38')) xafqLlk3kkUe(a2SYDDomXDZ2.stdout, xafqLlk3kkUe(SXOLrMavuUCe(b'K2\xb3\x06\xc6'), chr(6795 - 6695) + chr(101) + chr(0b1100011) + chr(10974 - 10863) + chr(0b1100100) + chr(0b1011001 + 0o14))(chr(0b110110 + 0o77) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(56)))() fzIw8pids3cF = fzIw8pids3cF.reshape((fzIw8pids3cF.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + '\060', 8)], -ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + '\x31', 8))) BHLV_3sVvvE_ = YzJBPucQyDh2 + xafqLlk3kkUe(SXOLrMavuUCe(b'r)\xa3\x1c\xc9yv'), chr(100) + chr(0b110100 + 0o61) + chr(0b1100011) + '\157' + chr(4123 - 4023) + chr(101))(chr(117) + chr(3974 - 3858) + chr(0b1100110) + '\055' + chr(0b111000)) if BHLV_3sVvvE_ not in ghFP1g97Hbo_: zLUzGokYBM2Z(BHLV_3sVvvE_ + xafqLlk3kkUe(SXOLrMavuUCe(b'\r0\xa9\x01\x8ewmaj\xaf=k~6#\xa6$>|\x82/I\xe4w\xd2\xff\x16;'), chr(0b1100100) + chr(0b111101 + 0o50) + chr(0b1001010 + 0o31) + chr(0b111000 + 0o67) + '\x64' + '\x65')('\165' + chr(116) + '\x66' + chr(0b101101) + chr(0b101000 + 0o20))) continue fzIw8pids3cF = fzIw8pids3cF.reshape(ghFP1g97Hbo_[BHLV_3sVvvE_]) GroVdzCONmWS[BHLV_3sVvvE_] = CIVheOt0RKQX.nd.zeros(fzIw8pids3cF.nauYfLglTpcb) GroVdzCONmWS[BHLV_3sVvvE_][:] = fzIw8pids3cF if fOeY2tfCxtDi and (nF24o7I0_Wgs == xafqLlk3kkUe(SXOLrMavuUCe(b'n1\xa8\x03\xc1}w`m\xa4s'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + '\145')(chr(6555 - 6438) + '\x74' + '\x66' + '\x2d' + chr(56)) or nF24o7I0_Wgs == ehT0Px3KOsy9(chr(1240 - 1192) + chr(7260 - 7149) + chr(0b11101 + 0o27), 8)): fOeY2tfCxtDi = ehT0Px3KOsy9('\060' + '\x6f' + '\060', 8) elif nF24o7I0_Wgs == xafqLlk3kkUe(SXOLrMavuUCe(b'~=\xa7\x19\xcb'), chr(0b1100100) + chr(0b110000 + 0o65) + '\x63' + chr(0b1101111) + chr(100) + '\145')(chr(8649 - 8532) + chr(0b1110100) + chr(3970 - 3868) + chr(0b11010 + 0o23) + chr(0b111000)): if xafqLlk3kkUe(SXOLrMavuUCe(b'^=\xa7\x19\xcb'), chr(100) + chr(7731 - 7630) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(101))('\165' + '\x74' + chr(102) + chr(0b101101) + chr(0b111000)) in YzJBPucQyDh2: ylDdDyqaUhUY = YzJBPucQyDh2.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'^=\xa7\x19\xcb'), '\144' + chr(0b1100101) + chr(99) + '\x6f' + '\144' + chr(0b1100101))(chr(10793 - 10676) + chr(2082 - 1966) + chr(102) + chr(0b101101) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'O0'), chr(3762 - 3662) + chr(0b1000110 + 0o37) + chr(4740 - 4641) + chr(111) + chr(6252 - 6152) + '\145')(chr(6391 - 6274) + chr(116) + chr(0b1010001 + 0o25) + '\x2d' + '\070')) elif xafqLlk3kkUe(SXOLrMavuUCe(b'^='), chr(0b1000001 + 0o43) + '\x65' + chr(0b1100011) + chr(10364 - 10253) + chr(0b1100100) + '\145')(chr(117) + chr(0b1110100) + chr(0b1100001 + 0o5) + '\055' + '\070') in YzJBPucQyDh2: ylDdDyqaUhUY = YzJBPucQyDh2.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'^='), chr(0b11 + 0o141) + '\145' + chr(0b1011001 + 0o12) + chr(111) + chr(0b1100100) + chr(0b10001 + 0o124))(chr(117) + chr(0b1110011 + 0o1) + '\146' + chr(0b101101) + chr(0b100001 + 0o27)), xafqLlk3kkUe(SXOLrMavuUCe(b'O0'), chr(100) + chr(101) + chr(0b1100011) + chr(0b100110 + 0o111) + chr(2410 - 2310) + chr(0b1100101))(chr(9712 - 9595) + '\164' + '\x66' + chr(0b101010 + 0o3) + chr(0b111000))) else: assert ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(48), 8), xafqLlk3kkUe(SXOLrMavuUCe(b"x0\xad\x1b\xc1fl4j\xaapg0u-\xba5\x04a\x9e'V\xef\x08\xd0\xf9\x075\xc1\xdf\x86\x86\xaa\x96\xffZ"), '\x64' + '\145' + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')('\x75' + '\x74' + chr(9139 - 9037) + chr(0b101101) + chr(56)) nfeH4ZtvQXsW = WqUC3KWvYVup.B0ePDhpqxN5n(GefaWGLgIZIr[ehT0Px3KOsy9('\060' + chr(5531 - 5420) + chr(48), 8)].ULnjp6D6efFH) FjcovgoHM1LG = WqUC3KWvYVup.B0ePDhpqxN5n(GefaWGLgIZIr[ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 8)].ULnjp6D6efFH) SazOVEs79jDo = xafqLlk3kkUe(SXOLrMavuUCe(b'V#\x99\x17\xcbec'), chr(0b1100100) + chr(0b1100101) + chr(0b1011000 + 0o13) + chr(0b111110 + 0o61) + chr(100) + chr(0b1001100 + 0o31))(chr(10077 - 9960) + '\164' + chr(0b11001 + 0o115) + chr(45) + chr(1203 - 1147)).V4roHaS3Ppej(ylDdDyqaUhUY) Kzf69I8F9U4c = xafqLlk3kkUe(SXOLrMavuUCe(b'V#\x99\x12\xcf|ou'), '\144' + chr(101) + chr(99) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(13152 - 13035) + chr(829 - 713) + chr(9832 - 9730) + '\x2d' + '\070').V4roHaS3Ppej(ylDdDyqaUhUY) FjcovgoHM1LG = FjcovgoHM1LG.reshape(ghFP1g97Hbo_[SazOVEs79jDo]) nfeH4ZtvQXsW = nfeH4ZtvQXsW.reshape(ghFP1g97Hbo_[Kzf69I8F9U4c]) GroVdzCONmWS[SazOVEs79jDo] = CIVheOt0RKQX.nd.zeros(FjcovgoHM1LG.nauYfLglTpcb) GroVdzCONmWS[Kzf69I8F9U4c] = CIVheOt0RKQX.nd.zeros(nfeH4ZtvQXsW.nauYfLglTpcb) GroVdzCONmWS[SazOVEs79jDo][:] = FjcovgoHM1LG GroVdzCONmWS[Kzf69I8F9U4c][:] = nfeH4ZtvQXsW assert xafqLlk3kkUe(nfeH4ZtvQXsW, xafqLlk3kkUe(SXOLrMavuUCe(b'yk\xf1?\xf4Fc]S\xa9of'), chr(0b1100100) + chr(2313 - 2212) + chr(99) + '\x6f' + '\144' + chr(0b1100101))(chr(117) + '\164' + chr(3033 - 2931) + chr(0b101101) + chr(0b1101 + 0o53)))[xafqLlk3kkUe(SXOLrMavuUCe(b'n\x01\x85:\xe0EKSQ\x84HQ'), chr(100) + chr(0b1100101) + '\143' + chr(111) + chr(0b111001 + 0o53) + chr(0b1100101))(chr(0b111111 + 0o66) + chr(116) + '\x66' + chr(45) + chr(2577 - 2521))] is ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001), 8) assert xafqLlk3kkUe(FjcovgoHM1LG, xafqLlk3kkUe(SXOLrMavuUCe(b'yk\xf1?\xf4Fc]S\xa9of'), chr(100) + chr(0b1100101) + '\143' + chr(12171 - 12060) + '\x64' + '\x65')(chr(0b110 + 0o157) + chr(3448 - 3332) + chr(0b1100110) + chr(0b101101) + chr(1151 - 1095)))[xafqLlk3kkUe(SXOLrMavuUCe(b'n\x01\x85:\xe0EKSQ\x84HQ'), chr(0b101100 + 0o70) + '\x65' + '\x63' + '\157' + chr(0b1100100) + chr(4867 - 4766))('\165' + chr(0b1110100) + chr(0b110111 + 0o57) + '\x2d' + chr(1718 - 1662))] is ehT0Px3KOsy9(chr(1488 - 1440) + chr(7985 - 7874) + '\x31', 8) zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'N1\xa8\x03\xcbcv}j\xac=qsw.\xb1c\rn\x93+K\xad\x08\xd4\xf3\x01t\x83\xc2\xc1\x94\xb9\x92\xb3\x02#\x87\x0c1\r9\xa7\x18\xc3p"gl\xaamg0+b\xaf>'), chr(0b1100100) + chr(7610 - 7509) + '\143' + '\x6f' + '\x64' + chr(9380 - 9279))('\x75' + '\x74' + chr(102) + '\055' + chr(920 - 864)), xafqLlk3kkUe(SXOLrMavuUCe(b"{j\xb4\x1a\xe6pQ'T\xbbxh"), '\144' + '\145' + chr(0b1010010 + 0o21) + chr(10276 - 10165) + chr(0b1000000 + 0o44) + chr(0b1100101))(chr(0b1110101 + 0o0) + chr(116) + '\x66' + chr(45) + '\x38'))(xafqLlk3kkUe(FjcovgoHM1LG, xafqLlk3kkUe(SXOLrMavuUCe(b'C?\xb3,\xc8]exP\xbb~`'), chr(2040 - 1940) + chr(0b1100101) + chr(0b1001010 + 0o31) + chr(11988 - 11877) + '\x64' + chr(0b0 + 0o145))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38')), xafqLlk3kkUe(nfeH4ZtvQXsW, xafqLlk3kkUe(SXOLrMavuUCe(b'C?\xb3,\xc8]exP\xbb~`'), chr(508 - 408) + chr(101) + chr(0b1100011) + chr(0b110010 + 0o75) + chr(100) + '\145')('\x75' + '\164' + chr(3238 - 3136) + chr(0b10111 + 0o26) + '\070')))) elif nF24o7I0_Wgs == xafqLlk3kkUe(SXOLrMavuUCe(b'o?\xb2\x16\xc6_mfi'), '\144' + '\x65' + chr(0b1010010 + 0o21) + chr(0b1101111) + '\144' + '\x65')(chr(0b10100 + 0o141) + chr(0b1110100) + chr(0b1100110) + '\055' + '\x38'): ylDdDyqaUhUY = YzJBPucQyDh2 aJhItC_Vawlw = WqUC3KWvYVup.B0ePDhpqxN5n(GefaWGLgIZIr[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x30', 8)].ULnjp6D6efFH) l38lb8xQZNsE = WqUC3KWvYVup.B0ePDhpqxN5n(GefaWGLgIZIr[ehT0Px3KOsy9(chr(1806 - 1758) + '\x6f' + '\x31', 8)].ULnjp6D6efFH) cx2yknjCA4G2 = GefaWGLgIZIr[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50), 8)].ULnjp6D6efFH[ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + '\x30', 8)] if cx2yknjCA4G2 != ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x30', 8): cx2yknjCA4G2 = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 8) / cx2yknjCA4G2 JWiXRMb12GHP = xafqLlk3kkUe(SXOLrMavuUCe(b'V#\x99\x18\xc1gkzc\x94pgqx'), '\144' + chr(0b1100101) + chr(0b110110 + 0o55) + '\157' + '\x64' + chr(101))(chr(117) + chr(8565 - 8449) + chr(102) + '\x2d' + '\x38').V4roHaS3Ppej(ylDdDyqaUhUY) rh85H97CENf3 = xafqLlk3kkUe(SXOLrMavuUCe(b'V#\x99\x18\xc1gkzc\x94kcb'), '\x64' + '\x65' + chr(2998 - 2899) + chr(5396 - 5285) + chr(7907 - 7807) + chr(1286 - 1185))('\x75' + chr(116) + '\x66' + chr(0b11000 + 0o25) + chr(0b10011 + 0o45)).V4roHaS3Ppej(ylDdDyqaUhUY) aJhItC_Vawlw = aJhItC_Vawlw.reshape(tEScazrPjTfU[JWiXRMb12GHP]) l38lb8xQZNsE = l38lb8xQZNsE.reshape(tEScazrPjTfU[rh85H97CENf3]) p9GVyAqRTTRh[JWiXRMb12GHP] = CIVheOt0RKQX.nd.zeros(aJhItC_Vawlw.nauYfLglTpcb) p9GVyAqRTTRh[rh85H97CENf3] = CIVheOt0RKQX.nd.zeros(l38lb8xQZNsE.nauYfLglTpcb) for (YlqusYB6InkM, wgamNHppspXj) in YlkZvXL8qwsX(P4OSUPE7mwW2): if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'l\x17\xb0?\xfckNp@\xadzD'), chr(100) + '\x65' + chr(4079 - 3980) + chr(111) + '\144' + chr(8869 - 8768))(chr(758 - 641) + chr(0b1001111 + 0o45) + chr(102) + chr(0b101101) + chr(56))) == ylDdDyqaUhUY: uzjPLigBzAJl = YlqusYB6InkM RoahyJKgFeoZ = P4OSUPE7mwW2[uzjPLigBzAJl].batch_norm_param.eps A__sN4U4oebb = kkSX4ccExqw4(I7QF3KlS7cYz.attr_dict()[ylDdDyqaUhUY + xafqLlk3kkUe(SXOLrMavuUCe(b'r3\xa9\x03\xc7\x7feKi\xae|l'), '\x64' + chr(4680 - 4579) + '\x63' + chr(0b1101111) + '\x64' + '\145')(chr(6493 - 6376) + '\x74' + '\x66' + chr(0b101101) + chr(1461 - 1405))][xafqLlk3kkUe(SXOLrMavuUCe(b'H.\xb5'), chr(0b11010 + 0o112) + chr(101) + chr(0b1100011) + '\157' + '\x64' + chr(0b1100100 + 0o1))(chr(0b1110101) + chr(0b1101110 + 0o6) + '\146' + '\055' + chr(0b100111 + 0o21))]) XoxbeyAWYrjc = RoahyJKgFeoZ - A__sN4U4oebb p9GVyAqRTTRh[JWiXRMb12GHP][:] = aJhItC_Vawlw * cx2yknjCA4G2 p9GVyAqRTTRh[rh85H97CENf3][:] = l38lb8xQZNsE * cx2yknjCA4G2 + XoxbeyAWYrjc assert xafqLlk3kkUe(l38lb8xQZNsE, xafqLlk3kkUe(SXOLrMavuUCe(b'yk\xf1?\xf4Fc]S\xa9of'), chr(0b1100100) + chr(0b111 + 0o136) + chr(7203 - 7104) + chr(111) + chr(0b1010010 + 0o22) + chr(4220 - 4119))(chr(0b1110101) + '\164' + '\x66' + chr(45) + '\070'))[xafqLlk3kkUe(SXOLrMavuUCe(b'n\x01\x85:\xe0EKSQ\x84HQ'), chr(9110 - 9010) + '\145' + chr(1997 - 1898) + '\157' + '\x64' + chr(101))('\165' + chr(116) + chr(0b1100110) + chr(165 - 120) + '\070')] is ehT0Px3KOsy9('\x30' + chr(6948 - 6837) + chr(49), 8) assert xafqLlk3kkUe(aJhItC_Vawlw, xafqLlk3kkUe(SXOLrMavuUCe(b'yk\xf1?\xf4Fc]S\xa9of'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(10536 - 10425) + chr(0b1100100) + '\x65')('\x75' + chr(0b1101011 + 0o11) + chr(102) + chr(45) + chr(2993 - 2937)))[xafqLlk3kkUe(SXOLrMavuUCe(b'n\x01\x85:\xe0EKSQ\x84HQ'), '\x64' + '\x65' + chr(99) + '\x6f' + '\144' + chr(101))(chr(117) + chr(0b1101111 + 0o5) + chr(0b1100110) + chr(0b100011 + 0o12) + '\x38')] is ehT0Px3KOsy9('\x30' + '\157' + '\061', 8) zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'N1\xa8\x03\xcbcv}j\xac=`qb!\xbc-\x0e}\x87nU\xe0Q\xd3\xe4Y5\xce\xd4\xc8\x9b\xe9\x84\xfb^s\x99Q \r%\xbbY\x8egcf$\xb8uc`sb\xe9c\x1ar'), '\x64' + '\x65' + chr(0b1011010 + 0o11) + '\x6f' + chr(0b110011 + 0o61) + chr(0b1100101))(chr(117) + chr(0b1010101 + 0o37) + chr(0b1100110) + '\055' + chr(0b100 + 0o64)), xafqLlk3kkUe(SXOLrMavuUCe(b"{j\xb4\x1a\xe6pQ'T\xbbxh"), chr(0b1100100) + chr(0b1010011 + 0o22) + chr(1224 - 1125) + '\157' + chr(2393 - 2293) + chr(0b1100011 + 0o2))(chr(0b10011 + 0o142) + chr(12807 - 12691) + chr(5885 - 5783) + chr(1189 - 1144) + chr(0b111000)))(xafqLlk3kkUe(aJhItC_Vawlw, xafqLlk3kkUe(SXOLrMavuUCe(b'C?\xb3,\xc8]exP\xbb~`'), chr(0b1011 + 0o131) + chr(0b1100101) + chr(0b11 + 0o140) + '\157' + '\144' + '\x65')('\165' + chr(116) + chr(102) + '\x2d' + chr(0b111000))), xafqLlk3kkUe(l38lb8xQZNsE, xafqLlk3kkUe(SXOLrMavuUCe(b'C?\xb3,\xc8]exP\xbb~`'), chr(3145 - 3045) + chr(101) + chr(0b1100011) + chr(111) + '\x64' + chr(0b11 + 0o142))(chr(117) + chr(10773 - 10657) + chr(0b0 + 0o146) + chr(0b101101) + chr(56))))) UfvgJjPdnc8f = P4OSUPE7mwW2[uzjPLigBzAJl + ehT0Px3KOsy9('\060' + chr(2287 - 2176) + '\061', 8)].wmQmyeWBmUpv != xafqLlk3kkUe(SXOLrMavuUCe(b'~=\xa7\x19\xcb'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1010010 + 0o22) + chr(0b1010111 + 0o16))(chr(12416 - 12299) + chr(116) + chr(0b10111 + 0o117) + chr(0b101101) + chr(0b111000)) if UfvgJjPdnc8f: Kzf69I8F9U4c = xafqLlk3kkUe(SXOLrMavuUCe(b'V#\x99\x12\xcf|ou'), '\144' + chr(9796 - 9695) + chr(0b10 + 0o141) + chr(111) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(116) + chr(9306 - 9204) + chr(45) + '\x38').V4roHaS3Ppej(ylDdDyqaUhUY) nfeH4ZtvQXsW = WqUC3KWvYVup.B0ePDhpqxN5n(WqUC3KWvYVup.ones(ghFP1g97Hbo_[Kzf69I8F9U4c])) SazOVEs79jDo = xafqLlk3kkUe(SXOLrMavuUCe(b'V#\x99\x17\xcbec'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(5867 - 5767) + chr(101))(chr(117) + chr(0b100010 + 0o122) + chr(102) + chr(0b101101) + chr(56)).V4roHaS3Ppej(ylDdDyqaUhUY) FjcovgoHM1LG = WqUC3KWvYVup.B0ePDhpqxN5n(WqUC3KWvYVup.zeros(ghFP1g97Hbo_[SazOVEs79jDo])) GroVdzCONmWS[SazOVEs79jDo] = CIVheOt0RKQX.nd.zeros(FjcovgoHM1LG.nauYfLglTpcb) GroVdzCONmWS[Kzf69I8F9U4c] = CIVheOt0RKQX.nd.zeros(nfeH4ZtvQXsW.nauYfLglTpcb) GroVdzCONmWS[SazOVEs79jDo][:] = FjcovgoHM1LG GroVdzCONmWS[Kzf69I8F9U4c][:] = nfeH4ZtvQXsW assert xafqLlk3kkUe(nfeH4ZtvQXsW, xafqLlk3kkUe(SXOLrMavuUCe(b'yk\xf1?\xf4Fc]S\xa9of'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + chr(4280 - 4180) + '\x65')(chr(9901 - 9784) + '\164' + chr(102) + chr(0b100 + 0o51) + chr(0b111000)))[xafqLlk3kkUe(SXOLrMavuUCe(b'n\x01\x85:\xe0EKSQ\x84HQ'), chr(100) + '\145' + chr(99) + chr(111) + chr(9423 - 9323) + chr(0b1100101))(chr(117) + chr(0b1100011 + 0o21) + '\146' + chr(0b101101) + chr(0b111000))] is ehT0Px3KOsy9(chr(364 - 316) + '\x6f' + '\x31', 8) assert xafqLlk3kkUe(FjcovgoHM1LG, xafqLlk3kkUe(SXOLrMavuUCe(b'yk\xf1?\xf4Fc]S\xa9of'), chr(0b1100100) + chr(101) + '\x63' + chr(0b1001100 + 0o43) + chr(0b1100100) + chr(0b11010 + 0o113))(chr(0b1110101) + chr(0b10000 + 0o144) + chr(102) + chr(45) + chr(0b111000)))[xafqLlk3kkUe(SXOLrMavuUCe(b'n\x01\x85:\xe0EKSQ\x84HQ'), '\x64' + chr(0b1100101) + chr(2989 - 2890) + '\x6f' + chr(0b1000011 + 0o41) + '\x65')('\x75' + chr(0b101001 + 0o113) + chr(102) + chr(1297 - 1252) + '\x38')] is ehT0Px3KOsy9('\060' + chr(2235 - 2124) + '\x31', 8) else: zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'$-\xad\x1c\xdeakzc\xebqcis0\xf48\x1c/\x85(\x19\xf5Q\xc6\xf3Un\xde'), '\x64' + chr(0b1100101) + chr(99) + chr(4587 - 4476) + chr(0b111 + 0o135) + chr(0b1000011 + 0o42))(chr(117) + chr(0b1001011 + 0o51) + chr(102) + chr(1463 - 1418) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b"{j\xb4\x1a\xe6pQ'T\xbbxh"), chr(100) + chr(0b1100101) + chr(2280 - 2181) + chr(11476 - 11365) + chr(8417 - 8317) + chr(8167 - 8066))(chr(0b1100001 + 0o24) + '\x74' + '\146' + '\x2d' + chr(56)))(YzJBPucQyDh2, nF24o7I0_Wgs)) assert c2A0yzQpDQB3(GefaWGLgIZIr) == ehT0Px3KOsy9(chr(48) + chr(9230 - 9119) + '\060', 8) if czf0lsug66YA is not None: FK0vqzZ5gPN6 = CIVheOt0RKQX.mod.Module(symbol=I7QF3KlS7cYz, label_names=None) xafqLlk3kkUe(FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'O7\xa8\x11'), chr(0b111000 + 0o54) + chr(0b1100101) + '\143' + '\x6f' + chr(0b1011101 + 0o7) + chr(101))('\165' + chr(5500 - 5384) + chr(1331 - 1229) + chr(45) + '\x38'))(data_shapes=[(xafqLlk3kkUe(SXOLrMavuUCe(b'I?\xb2\x14'), chr(0b11000 + 0o114) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1011010 + 0o13))(chr(8252 - 8135) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b111000)), KNyTy8rYcwji(O0Pt4_FWG7IN))]) xafqLlk3kkUe(FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'D0\xaf\x01\xf1acfe\xa6n'), chr(7982 - 7882) + '\x65' + '\x63' + chr(0b1101111) + chr(4884 - 4784) + '\145')(chr(117) + chr(0b1110100) + chr(7661 - 7559) + chr(0b101101) + '\070'))(arg_params=GroVdzCONmWS, aux_params=p9GVyAqRTTRh) xafqLlk3kkUe(FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'^?\xb0\x10\xf1rjqg\xa0mmyx6'), '\144' + chr(101) + '\x63' + '\157' + chr(9749 - 9649) + '\145')(chr(117) + chr(10222 - 10106) + chr(0b1000 + 0o136) + chr(516 - 471) + chr(56)))(czf0lsug66YA, ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(48), 8)) return (I7QF3KlS7cYz, GroVdzCONmWS, p9GVyAqRTTRh, O0Pt4_FWG7IN)
apache/incubator-mxnet
tools/caffe_converter/convert_symbol.py
_parse_proto
def _parse_proto(prototxt_fname): """Parse Caffe prototxt into symbol string """ proto = caffe_parser.read_prototxt(prototxt_fname) # process data layer input_name, input_dim, layers = _get_input(proto) # only support single input, so always use `data` as the input data mapping = {input_name: 'data'} need_flatten = {input_name: False} symbol_string = "import mxnet as mx\ndata = mx.symbol.Variable(name='data')\n" flatten_count = 0 output_name = "" prev_name = None _output_name = {} # convert reset layers one by one for i, layer in enumerate(layers): type_string = '' param_string = '' skip_layer = False name = re.sub('[-/]', '_', layer.name) for k in range(len(layer.bottom)): if layer.bottom[k] in _output_name: _output_name[layer.bottom[k]]['count'] = _output_name[layer.bottom[k]]['count']+1 else: _output_name[layer.bottom[k]] = {'count':0} for k in range(len(layer.top)): if layer.top[k] in _output_name: _output_name[layer.top[k]]['count'] = _output_name[layer.top[k]]['count']+1 else: _output_name[layer.top[k]] = {'count':0, 'name':name} if layer.type == 'Convolution' or layer.type == 4: type_string = 'mx.symbol.Convolution' param_string = _convert_conv_param(layer.convolution_param) need_flatten[name] = True if layer.type == 'Deconvolution' or layer.type == 39: type_string = 'mx.symbol.Deconvolution' param_string = _convert_conv_param(layer.convolution_param) need_flatten[name] = True if layer.type == 'Pooling' or layer.type == 17: type_string = 'mx.symbol.Pooling' param_string = _convert_pooling_param(layer.pooling_param) need_flatten[name] = True if layer.type == 'ReLU' or layer.type == 18: type_string = 'mx.symbol.Activation' param_string = "act_type='relu'" param = layer.relu_param if hasattr(param, 'negative_slope'): if param.negative_slope > 0: type_string = 'mx.symbol.LeakyReLU' param_string = "act_type='leaky', slope=%f" % param.negative_slope need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] if layer.type == 'TanH' or layer.type == 23: type_string = 'mx.symbol.Activation' param_string = "act_type='tanh'" need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] if layer.type == 'Sigmoid' or layer.type == 19: type_string = 'mx.symbol.Activation' param_string = "act_type='sigmoid'" need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] if layer.type == 'LRN' or layer.type == 15: type_string = 'mx.symbol.LRN' param = layer.lrn_param param_string = "alpha=%f, beta=%f, knorm=%f, nsize=%d" % ( param.alpha, param.beta, param.k, param.local_size) need_flatten[name] = True if layer.type == 'InnerProduct' or layer.type == 14: type_string = 'mx.symbol.FullyConnected' param = layer.inner_product_param param_string = "num_hidden=%d, no_bias=%s" % ( param.num_output, not param.bias_term) need_flatten[name] = False if layer.type == 'Dropout' or layer.type == 6: type_string = 'mx.symbol.Dropout' param = layer.dropout_param param_string = "p=%f" % param.dropout_ratio need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] if layer.type == 'Softmax' or layer.type == 20: type_string = 'mx.symbol.SoftmaxOutput' if layer.type == 'Flatten' or layer.type == 8: type_string = 'mx.symbol.Flatten' need_flatten[name] = False if layer.type == 'Split' or layer.type == 22: type_string = 'split' # will process later if layer.type == 'Concat' or layer.type == 3: type_string = 'mx.symbol.Concat' need_flatten[name] = True if layer.type == 'Crop': type_string = 'mx.symbol.Crop' need_flatten[name] = True param_string = 'center_crop=True' if layer.type == 'BatchNorm': type_string = 'mx.symbol.BatchNorm' param = layer.batch_norm_param # CuDNN requires eps to be greater than 1e-05 # We compensate for this change in convert_model epsilon = param.eps if (epsilon <= 1e-05): epsilon = 1e-04 # if next layer is scale, don't fix gamma fix_gamma = layers[i+1].type != 'Scale' param_string = 'use_global_stats=%s, fix_gamma=%s, eps=%f' % ( param.use_global_stats, fix_gamma, epsilon) need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] if layer.type == 'Scale': assert layers[i-1].type == 'BatchNorm' need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] skip_layer = True prev_name = re.sub('[-/]', '_', layers[i-1].name) if layer.type == 'PReLU': type_string = 'mx.symbol.LeakyReLU' param = layer.prelu_param param_string = "act_type='prelu', slope=%f" % param.filler.value need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] if layer.type == 'Eltwise': type_string = 'mx.symbol.broadcast_add' param = layer.eltwise_param param_string = "" need_flatten[name] = False if layer.type == 'Reshape': type_string = 'mx.symbol.Reshape' need_flatten[name] = False param = layer.reshape_param param_string = "shape=(%s)" % (','.join(param.shape.dim),) if layer.type == 'AbsVal': type_string = 'mx.symbol.abs' need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] if skip_layer: assert len(layer.bottom) == 1 symbol_string += "%s = %s\n" % (name, prev_name) elif type_string == '': raise ValueError('Unknown layer %s!' % layer.type) elif type_string != 'split': bottom = layer.bottom if param_string != "": param_string = ", " + param_string if len(bottom) == 1: if need_flatten[mapping[bottom[0]]] and type_string == 'mx.symbol.FullyConnected': flatten_name = "flatten_%d" % flatten_count symbol_string += "%s=mx.symbol.Flatten(name='%s', data=%s)\n" % ( flatten_name, flatten_name, mapping[bottom[0]]) flatten_count += 1 need_flatten[flatten_name] = False bottom[0] = flatten_name mapping[bottom[0]] = bottom[0] symbol_string += "%s = %s(name='%s', data=%s %s)\n" % ( name, type_string, name, mapping[bottom[0]], param_string) else: if layer.type == 'Eltwise' and param.operation == 1 and len(param.coeff) > 0: symbol_string += "%s = " % name symbol_string += " + ".join(["%s * %s" % ( mapping[bottom[i]], param.coeff[i]) for i in range(len(param.coeff))]) symbol_string += "\n" else: symbol_string += "%s = %s(name='%s', *[%s] %s)\n" % ( name, type_string, name, ','.join( [mapping[x] for x in bottom]), param_string) for j in range(len(layer.top)): mapping[layer.top[j]] = name output_name = name output_name = [] for i in _output_name: if 'name' in _output_name[i] and _output_name[i]['count'] == 0: output_name.append(_output_name[i]['name']) return symbol_string, output_name, input_dim
python
def _parse_proto(prototxt_fname): """Parse Caffe prototxt into symbol string """ proto = caffe_parser.read_prototxt(prototxt_fname) # process data layer input_name, input_dim, layers = _get_input(proto) # only support single input, so always use `data` as the input data mapping = {input_name: 'data'} need_flatten = {input_name: False} symbol_string = "import mxnet as mx\ndata = mx.symbol.Variable(name='data')\n" flatten_count = 0 output_name = "" prev_name = None _output_name = {} # convert reset layers one by one for i, layer in enumerate(layers): type_string = '' param_string = '' skip_layer = False name = re.sub('[-/]', '_', layer.name) for k in range(len(layer.bottom)): if layer.bottom[k] in _output_name: _output_name[layer.bottom[k]]['count'] = _output_name[layer.bottom[k]]['count']+1 else: _output_name[layer.bottom[k]] = {'count':0} for k in range(len(layer.top)): if layer.top[k] in _output_name: _output_name[layer.top[k]]['count'] = _output_name[layer.top[k]]['count']+1 else: _output_name[layer.top[k]] = {'count':0, 'name':name} if layer.type == 'Convolution' or layer.type == 4: type_string = 'mx.symbol.Convolution' param_string = _convert_conv_param(layer.convolution_param) need_flatten[name] = True if layer.type == 'Deconvolution' or layer.type == 39: type_string = 'mx.symbol.Deconvolution' param_string = _convert_conv_param(layer.convolution_param) need_flatten[name] = True if layer.type == 'Pooling' or layer.type == 17: type_string = 'mx.symbol.Pooling' param_string = _convert_pooling_param(layer.pooling_param) need_flatten[name] = True if layer.type == 'ReLU' or layer.type == 18: type_string = 'mx.symbol.Activation' param_string = "act_type='relu'" param = layer.relu_param if hasattr(param, 'negative_slope'): if param.negative_slope > 0: type_string = 'mx.symbol.LeakyReLU' param_string = "act_type='leaky', slope=%f" % param.negative_slope need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] if layer.type == 'TanH' or layer.type == 23: type_string = 'mx.symbol.Activation' param_string = "act_type='tanh'" need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] if layer.type == 'Sigmoid' or layer.type == 19: type_string = 'mx.symbol.Activation' param_string = "act_type='sigmoid'" need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] if layer.type == 'LRN' or layer.type == 15: type_string = 'mx.symbol.LRN' param = layer.lrn_param param_string = "alpha=%f, beta=%f, knorm=%f, nsize=%d" % ( param.alpha, param.beta, param.k, param.local_size) need_flatten[name] = True if layer.type == 'InnerProduct' or layer.type == 14: type_string = 'mx.symbol.FullyConnected' param = layer.inner_product_param param_string = "num_hidden=%d, no_bias=%s" % ( param.num_output, not param.bias_term) need_flatten[name] = False if layer.type == 'Dropout' or layer.type == 6: type_string = 'mx.symbol.Dropout' param = layer.dropout_param param_string = "p=%f" % param.dropout_ratio need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] if layer.type == 'Softmax' or layer.type == 20: type_string = 'mx.symbol.SoftmaxOutput' if layer.type == 'Flatten' or layer.type == 8: type_string = 'mx.symbol.Flatten' need_flatten[name] = False if layer.type == 'Split' or layer.type == 22: type_string = 'split' # will process later if layer.type == 'Concat' or layer.type == 3: type_string = 'mx.symbol.Concat' need_flatten[name] = True if layer.type == 'Crop': type_string = 'mx.symbol.Crop' need_flatten[name] = True param_string = 'center_crop=True' if layer.type == 'BatchNorm': type_string = 'mx.symbol.BatchNorm' param = layer.batch_norm_param # CuDNN requires eps to be greater than 1e-05 # We compensate for this change in convert_model epsilon = param.eps if (epsilon <= 1e-05): epsilon = 1e-04 # if next layer is scale, don't fix gamma fix_gamma = layers[i+1].type != 'Scale' param_string = 'use_global_stats=%s, fix_gamma=%s, eps=%f' % ( param.use_global_stats, fix_gamma, epsilon) need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] if layer.type == 'Scale': assert layers[i-1].type == 'BatchNorm' need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] skip_layer = True prev_name = re.sub('[-/]', '_', layers[i-1].name) if layer.type == 'PReLU': type_string = 'mx.symbol.LeakyReLU' param = layer.prelu_param param_string = "act_type='prelu', slope=%f" % param.filler.value need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] if layer.type == 'Eltwise': type_string = 'mx.symbol.broadcast_add' param = layer.eltwise_param param_string = "" need_flatten[name] = False if layer.type == 'Reshape': type_string = 'mx.symbol.Reshape' need_flatten[name] = False param = layer.reshape_param param_string = "shape=(%s)" % (','.join(param.shape.dim),) if layer.type == 'AbsVal': type_string = 'mx.symbol.abs' need_flatten[name] = need_flatten[mapping[layer.bottom[0]]] if skip_layer: assert len(layer.bottom) == 1 symbol_string += "%s = %s\n" % (name, prev_name) elif type_string == '': raise ValueError('Unknown layer %s!' % layer.type) elif type_string != 'split': bottom = layer.bottom if param_string != "": param_string = ", " + param_string if len(bottom) == 1: if need_flatten[mapping[bottom[0]]] and type_string == 'mx.symbol.FullyConnected': flatten_name = "flatten_%d" % flatten_count symbol_string += "%s=mx.symbol.Flatten(name='%s', data=%s)\n" % ( flatten_name, flatten_name, mapping[bottom[0]]) flatten_count += 1 need_flatten[flatten_name] = False bottom[0] = flatten_name mapping[bottom[0]] = bottom[0] symbol_string += "%s = %s(name='%s', data=%s %s)\n" % ( name, type_string, name, mapping[bottom[0]], param_string) else: if layer.type == 'Eltwise' and param.operation == 1 and len(param.coeff) > 0: symbol_string += "%s = " % name symbol_string += " + ".join(["%s * %s" % ( mapping[bottom[i]], param.coeff[i]) for i in range(len(param.coeff))]) symbol_string += "\n" else: symbol_string += "%s = %s(name='%s', *[%s] %s)\n" % ( name, type_string, name, ','.join( [mapping[x] for x in bottom]), param_string) for j in range(len(layer.top)): mapping[layer.top[j]] = name output_name = name output_name = [] for i in _output_name: if 'name' in _output_name[i] and _output_name[i]['count'] == 0: output_name.append(_output_name[i]['name']) return symbol_string, output_name, input_dim
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"flatten_name", ",", "mapping", "[", "bottom", "[", "0", "]", "]", ")", "flatten_count", "+=", "1", "need_flatten", "[", "flatten_name", "]", "=", "False", "bottom", "[", "0", "]", "=", "flatten_name", "mapping", "[", "bottom", "[", "0", "]", "]", "=", "bottom", "[", "0", "]", "symbol_string", "+=", "\"%s = %s(name='%s', data=%s %s)\\n\"", "%", "(", "name", ",", "type_string", ",", "name", ",", "mapping", "[", "bottom", "[", "0", "]", "]", ",", "param_string", ")", "else", ":", "if", "layer", ".", "type", "==", "'Eltwise'", "and", "param", ".", "operation", "==", "1", "and", "len", "(", "param", ".", "coeff", ")", ">", "0", ":", "symbol_string", "+=", "\"%s = \"", "%", "name", "symbol_string", "+=", "\" + \"", ".", "join", "(", "[", "\"%s * %s\"", "%", "(", "mapping", "[", "bottom", "[", "i", "]", "]", ",", "param", ".", "coeff", "[", "i", "]", ")", "for", "i", "in", "range", "(", "len", "(", "param", ".", "coeff", ")", ")", "]", ")", "symbol_string", "+=", "\"\\n\"", "else", ":", "symbol_string", "+=", "\"%s = %s(name='%s', *[%s] %s)\\n\"", "%", "(", "name", ",", "type_string", ",", "name", ",", "','", ".", "join", "(", "[", "mapping", "[", "x", "]", "for", "x", "in", "bottom", "]", ")", ",", "param_string", ")", "for", "j", "in", "range", "(", "len", "(", "layer", ".", "top", ")", ")", ":", "mapping", "[", "layer", ".", "top", "[", "j", "]", "]", "=", "name", "output_name", "=", "name", "output_name", "=", "[", "]", "for", "i", "in", "_output_name", ":", "if", "'name'", "in", "_output_name", "[", "i", "]", "and", "_output_name", "[", "i", "]", "[", "'count'", "]", "==", "0", ":", "output_name", ".", "append", "(", "_output_name", "[", "i", "]", "[", "'name'", "]", ")", "return", "symbol_string", ",", "output_name", ",", "input_dim" ]
Parse Caffe prototxt into symbol string
[ "Parse", "Caffe", "prototxt", "into", "symbol", "string" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/caffe_converter/convert_symbol.py#L127-L295
train
Parse Caffe prototxt into symbol string
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(1835 - 1787) + '\157' + chr(49) + chr(0b101001 + 0o10) + chr(1783 - 1728), 0o10), ehT0Px3KOsy9(chr(1446 - 1398) + '\x6f' + '\061' + '\063' + chr(51), 0o10), ehT0Px3KOsy9(chr(1029 - 981) + chr(0b1010 + 0o145) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11 + 0o60) + chr(2480 - 2426) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000111 + 0o50) + chr(51) + '\067' + chr(50), 56673 - 56665), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101 + 0o55) + chr(48) + '\065', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b10011 + 0o35), 0b1000), ehT0Px3KOsy9(chr(450 - 402) + chr(0b1101111) + chr(0b100010 + 0o21) + chr(48) + chr(0b11101 + 0o26), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(52) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b111 + 0o54) + chr(1894 - 1844), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(50) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1986 - 1938) + chr(0b1100010 + 0o15) + chr(0b110010) + chr(0b110000) + '\x35', 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\062' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10685 - 10574) + '\x34' + chr(0b1111 + 0o50), 3440 - 3432), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(50) + chr(0b110100) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(158 - 105) + chr(2608 - 2556), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b0 + 0o62) + chr(0b110110) + chr(0b110110), 40423 - 40415), ehT0Px3KOsy9('\060' + chr(11490 - 11379) + chr(0b1111 + 0o44) + '\x32' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(48), 0o10), ehT0Px3KOsy9(chr(843 - 795) + '\x6f' + '\x32' + chr(50) + chr(52), 0o10), ehT0Px3KOsy9(chr(67 - 19) + chr(111) + '\x32' + chr(0b110110) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x34' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(719 - 671) + '\x6f' + chr(2698 - 2646) + chr(0b10011 + 0o43), 0o10), ehT0Px3KOsy9('\x30' + chr(882 - 771) + '\x31' + '\x33' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(612 - 557) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55) + chr(742 - 692), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + '\066' + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\065', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1 + 0o62) + '\x37' + chr(2176 - 2124), 50057 - 50049), ehT0Px3KOsy9(chr(356 - 308) + chr(0b1101111) + '\061' + chr(389 - 338) + chr(0b110011), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(680 - 631) + '\x36', 52949 - 52941), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110100) + chr(1478 - 1428), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10100 + 0o37) + '\x36' + chr(1986 - 1935), 8), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + '\x33' + '\062' + '\x33', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b101100 + 0o7) + '\062', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b110011) + chr(0b110100) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\x30' + '\x31', 14731 - 14723), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b100111 + 0o20) + '\x34', 8), ehT0Px3KOsy9(chr(102 - 54) + chr(0b1101111) + '\x33' + '\066' + chr(675 - 621), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\060', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + '\065' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'a'), '\144' + chr(101) + chr(2825 - 2726) + chr(111) + chr(100) + '\145')(chr(117) + '\164' + '\146' + chr(0b100101 + 0o10) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def YvWNcb6KHNAj(K7CT4b1_DoTc): EjgP3Uo4AYh3 = T8Gj9SRAp9oN.read_prototxt(K7CT4b1_DoTc) (T1P2HfUVrGuW, O0Pt4_FWG7IN, sGi5Aql23May) = VIpnVXgRWkC4(EjgP3Uo4AYh3) lDyiwdy_JhxC = {T1P2HfUVrGuW: xafqLlk3kkUe(SXOLrMavuUCe(b'+:q\x92'), '\144' + chr(0b1100101) + chr(2341 - 2242) + chr(0b11101 + 0o122) + chr(4670 - 4570) + chr(101))('\x75' + '\x74' + '\146' + '\x2d' + chr(56))} oh3YM_xeo55T = {T1P2HfUVrGuW: ehT0Px3KOsy9(chr(1438 - 1390) + '\x6f' + chr(713 - 665), 0b1000)} iFzhmVptHFFj = xafqLlk3kkUe(SXOLrMavuUCe(b"&6u\x9c\x88\xf18\xae\x1ft\xb5\xf1\xb7F\xd2L\xdb\xab\x02\xf0\xd3\x94Gx\x01\x1aZ}\xd2(7O\x91\xbc6\xcf\x97\x9d\x84q.9i\x96\xd2\xeby\xae\x02'\xf7\xe1\xf6S\xc0K\x9f\xd9"), chr(6276 - 6176) + '\145' + chr(0b110 + 0o135) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1110100) + '\x66' + chr(45) + '\x38') ai2O_Lq97nng = ehT0Px3KOsy9('\x30' + '\x6f' + '\x30', 8) RvHisuz8b6tn = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(100) + '\x65' + chr(99) + '\x6f' + chr(100) + '\x65')('\165' + chr(0b1110100) + '\x66' + chr(625 - 580) + '\070') KKgmcg05tpTK = None Habn4u6aLweR = {} for (WVxHKyX45z_L, wgamNHppspXj) in YlkZvXL8qwsX(sGi5Aql23May): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(6417 - 6317) + '\x65' + chr(8320 - 8221) + chr(0b101011 + 0o104) + chr(9363 - 9263) + chr(0b101 + 0o140))(chr(117) + '\164' + chr(102) + '\x2d' + '\070') tjfNQznty75L = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1100100) + '\145' + '\x63' + chr(111) + chr(328 - 228) + chr(3170 - 3069))('\x75' + '\x74' + chr(0b1100110) + '\055' + chr(0b10100 + 0o44)) TQRrv7Bl5D4G = ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + chr(2170 - 2122), 8) AIvJRzLdDfgF = _7u55U49WwX2.sub(xafqLlk3kkUe(SXOLrMavuUCe(b'\x14v*\xae'), chr(1683 - 1583) + chr(127 - 26) + chr(0b1010110 + 0o15) + chr(111) + chr(6482 - 6382) + chr(0b111000 + 0o55))('\x75' + chr(0b111100 + 0o70) + chr(102) + chr(0b101000 + 0o5) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x10'), '\144' + chr(8829 - 8728) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(9734 - 9633))(chr(0b110100 + 0o101) + '\164' + '\x66' + chr(0b101101) + chr(0b100001 + 0o27)), wgamNHppspXj.AIvJRzLdDfgF) for OolUPRJhRaJd in vQr8gNKaIaWE(c2A0yzQpDQB3(xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'$\x03}\x80\xa0\xfdt\x8a6O\x83\xd4'), chr(0b1011100 + 0o10) + chr(101) + '\x63' + chr(8614 - 8503) + '\x64' + chr(0b1000011 + 0o42))(chr(117) + chr(0b1101011 + 0o11) + chr(5506 - 5404) + chr(0b101101) + '\070')))): if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'$\x03}\x80\xa0\xfdt\x8a6O\x83\xd4'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101010 + 0o5) + chr(0b1100100) + chr(9056 - 8955))(chr(0b110000 + 0o105) + chr(116) + chr(2405 - 2303) + chr(1068 - 1023) + chr(675 - 619)))[OolUPRJhRaJd] in Habn4u6aLweR: Habn4u6aLweR[wgamNHppspXj.kXxsZxlIQUSQ[OolUPRJhRaJd]][xafqLlk3kkUe(SXOLrMavuUCe(b',4p\x9d\x8e'), chr(100) + '\145' + chr(0b1100011) + '\157' + '\x64' + chr(0b11110 + 0o107))(chr(0b1110101) + chr(0b1001010 + 0o52) + chr(102) + chr(45) + '\x38')] = Habn4u6aLweR[wgamNHppspXj.kXxsZxlIQUSQ[OolUPRJhRaJd]][xafqLlk3kkUe(SXOLrMavuUCe(b',4p\x9d\x8e'), '\x64' + '\x65' + chr(0b1100011) + chr(111) + '\144' + chr(0b111110 + 0o47))(chr(0b1110101) + chr(9156 - 9040) + chr(102) + '\055' + chr(56))] + ehT0Px3KOsy9('\x30' + chr(10103 - 9992) + '\x31', 0b1000) else: Habn4u6aLweR[wgamNHppspXj.kXxsZxlIQUSQ[OolUPRJhRaJd]] = {xafqLlk3kkUe(SXOLrMavuUCe(b',4p\x9d\x8e'), '\x64' + chr(101) + '\143' + '\x6f' + chr(0b1011110 + 0o6) + chr(0b1100101))(chr(364 - 247) + chr(8083 - 7967) + chr(0b1010 + 0o134) + chr(1363 - 1318) + chr(0b11 + 0o65)): ehT0Px3KOsy9(chr(48) + chr(10602 - 10491) + chr(1479 - 1431), 8)} for OolUPRJhRaJd in vQr8gNKaIaWE(c2A0yzQpDQB3(xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'>#w\xa5\xb8\xef}\xb1\x1eT\x95\xdf'), chr(8372 - 8272) + '\145' + chr(0b1100011) + chr(0b111111 + 0o60) + chr(8071 - 7971) + chr(0b1100101))(chr(0b100001 + 0o124) + '\164' + chr(4338 - 4236) + chr(486 - 441) + chr(1041 - 985))))): if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'>#w\xa5\xb8\xef}\xb1\x1eT\x95\xdf'), chr(0b101011 + 0o71) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b10001 + 0o124))('\x75' + chr(0b101101 + 0o107) + chr(0b1100110) + chr(45) + chr(0b111000)))[OolUPRJhRaJd] in Habn4u6aLweR: Habn4u6aLweR[wgamNHppspXj.qxrVBjeryNEZ[OolUPRJhRaJd]][xafqLlk3kkUe(SXOLrMavuUCe(b',4p\x9d\x8e'), '\144' + '\145' + chr(99) + '\x6f' + '\x64' + '\145')('\165' + '\164' + '\146' + '\x2d' + chr(0b10000 + 0o50))] = Habn4u6aLweR[wgamNHppspXj.qxrVBjeryNEZ[OolUPRJhRaJd]][xafqLlk3kkUe(SXOLrMavuUCe(b',4p\x9d\x8e'), chr(100) + '\145' + '\143' + chr(0b1101111) + '\144' + chr(5327 - 5226))('\x75' + chr(3411 - 3295) + chr(102) + '\055' + chr(0b111000))] + ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\x31', 8) else: Habn4u6aLweR[wgamNHppspXj.qxrVBjeryNEZ[OolUPRJhRaJd]] = {xafqLlk3kkUe(SXOLrMavuUCe(b',4p\x9d\x8e'), chr(0b101110 + 0o66) + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + chr(101))(chr(10707 - 10590) + '\164' + chr(0b1011011 + 0o13) + chr(0b101101) + '\x38'): ehT0Px3KOsy9('\x30' + chr(111) + chr(376 - 328), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'!:h\x96'), '\x64' + chr(6910 - 6809) + chr(0b1011110 + 0o5) + '\157' + '\x64' + chr(9564 - 9463))('\165' + '\164' + '\146' + chr(0b101101) + '\x38'): AIvJRzLdDfgF} if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b1100100) + chr(0b1010001 + 0o24) + chr(0b1100011) + chr(0b1000000 + 0o57) + chr(0b1100100) + chr(8763 - 8662))('\165' + '\x74' + chr(102) + '\x2d' + chr(56))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c4k\x85\x95\xe9m\xb7\x0eu\xbe'), chr(100) + chr(8168 - 8067) + chr(99) + chr(111) + chr(100) + chr(0b1101 + 0o130))('\165' + '\x74' + chr(9767 - 9665) + chr(1707 - 1662) + chr(0b110000 + 0o10)) or xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), '\x64' + '\x65' + '\x63' + '\x6f' + chr(0b1100100) + '\x65')('\x75' + '\164' + chr(0b1100110) + '\055' + '\070')) == ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b110100), 40747 - 40739): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x93\xea\xf9Q\xce\x00\xc3\xa7a\xfb\xdc'), chr(0b1010100 + 0o20) + '\x65' + chr(763 - 664) + '\x6f' + chr(100) + chr(0b1100101))('\165' + chr(7504 - 7388) + chr(0b1100110) + chr(0b101101) + '\x38') tjfNQznty75L = q1rB8n7cqqwW(wgamNHppspXj.convolution_param) oh3YM_xeo55T[AIvJRzLdDfgF] = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2099 - 2050), 8) if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(100) + chr(0b1100101) + '\143' + '\x6f' + '\x64' + chr(0b1100101))('\165' + '\164' + '\146' + chr(0b101101) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b>f\x9c\x94\xf3w\xaf\x12n\xb9\xea\xf9'), chr(0b1100100) + '\x65' + chr(7465 - 7366) + '\157' + '\x64' + chr(8917 - 8816))('\165' + chr(0b1110100) + chr(102) + '\055' + chr(2098 - 2042)) or xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(7278 - 7178) + '\145' + chr(1380 - 1281) + chr(0b1101111) + '\x64' + chr(0b1001000 + 0o35))(chr(0b1110101) + chr(0b1100101 + 0o17) + chr(102) + chr(0b11110 + 0o17) + chr(0b111000))) == ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(2133 - 2022) + chr(212 - 160) + '\067', 8): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x94\xe0\xf4H\xcf\x1a\xd9\xbf}\xe0\xdb\x8fH'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(100) + '\145')(chr(0b11 + 0o162) + chr(5442 - 5326) + chr(0b1100110) + chr(0b10101 + 0o30) + chr(56)) tjfNQznty75L = q1rB8n7cqqwW(wgamNHppspXj.convolution_param) oh3YM_xeo55T[AIvJRzLdDfgF] = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(521 - 472), 8) if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), '\x64' + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1100 + 0o130) + chr(0b1100101))(chr(117) + '\x74' + chr(102) + chr(45) + chr(0b100111 + 0o21))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f4j\x9f\x93\xeb\x7f'), chr(0b11110 + 0o106) + chr(0b1100101) + '\x63' + chr(0b110111 + 0o70) + chr(5235 - 5135) + chr(101))(chr(0b1110101) + '\164' + chr(3080 - 2978) + chr(0b101101) + '\x38') or xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b1100100) + '\x65' + chr(1698 - 1599) + chr(111) + chr(100) + chr(10100 - 9999))(chr(7368 - 7251) + '\x74' + chr(0b111 + 0o137) + chr(1849 - 1804) + '\x38')) == ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(0b110010) + chr(0b110001), 0b1000): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x80\xea\xf8K\xc8\x02\xd1'), chr(0b1011010 + 0o12) + chr(101) + chr(0b110101 + 0o56) + '\x6f' + chr(9009 - 8909) + chr(0b1001111 + 0o26))('\165' + chr(0b1010101 + 0o37) + chr(0b1100110) + chr(0b101101) + chr(0b1100 + 0o54)) tjfNQznty75L = d0QNjO1iWWzh(wgamNHppspXj.pooling_param) oh3YM_xeo55T[AIvJRzLdDfgF] = ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001), 8) if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b1100100) + chr(8610 - 8509) + '\143' + '\x6f' + chr(1520 - 1420) + '\145')('\165' + chr(0b111111 + 0o65) + '\x66' + chr(45) + chr(1266 - 1210))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d>I\xa6'), chr(0b10101 + 0o117) + chr(101) + chr(0b1100011) + '\x6f' + chr(0b1001 + 0o133) + '\145')('\x75' + chr(116) + chr(4476 - 4374) + chr(99 - 54) + '\070') or xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), '\144' + '\x65' + chr(99) + chr(0b111100 + 0o63) + chr(0b1100100) + '\145')(chr(0b1011111 + 0o26) + chr(0b1000011 + 0o61) + chr(0b1100110) + '\x2d' + '\070')) == ehT0Px3KOsy9(chr(2250 - 2202) + chr(0b1101111) + chr(0b10011 + 0o37) + '\062', 18117 - 18109): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x91\xe6\xe3N\xd7\r\xc2\xbag\xfa'), chr(0b11101 + 0o107) + chr(0b1000001 + 0o44) + chr(99) + chr(111) + chr(6139 - 6039) + '\x65')(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(2409 - 2353)) tjfNQznty75L = xafqLlk3kkUe(SXOLrMavuUCe(b'.8q\xac\x8e\xfch\xa6Z=\xa2\xe0\xfbR\x86'), chr(100) + '\145' + chr(0b1100010 + 0o1) + chr(111) + '\x64' + chr(0b1001011 + 0o32))('\x75' + '\x74' + chr(0b110010 + 0o64) + '\x2d' + chr(1635 - 1579)) NOaGA2BHucaX = wgamNHppspXj.relu_param if lot1PSoAwYhj(NOaGA2BHucaX, xafqLlk3kkUe(SXOLrMavuUCe(b'!>b\x92\x8e\xecn\xa68i\xbc\xea\xe7B'), '\x64' + '\145' + chr(99) + chr(0b1101111) + '\x64' + chr(0b10100 + 0o121))(chr(0b1001111 + 0o46) + chr(0b111000 + 0o74) + chr(102) + chr(254 - 209) + chr(0b110010 + 0o6))): if xafqLlk3kkUe(NOaGA2BHucaX, xafqLlk3kkUe(SXOLrMavuUCe(b'!>b\x92\x8e\xecn\xa68i\xbc\xea\xe7B'), chr(0b1100100) + chr(0b111111 + 0o46) + chr(0b1100011 + 0o0) + chr(0b1101111) + chr(0b110110 + 0o56) + chr(101))(chr(117) + chr(0b10111 + 0o135) + '\x66' + '\x2d' + chr(0b11011 + 0o35))) > ehT0Px3KOsy9(chr(1756 - 1708) + '\157' + chr(0b101101 + 0o3), 8): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x9c\xe0\xf6L\xd8>\xd3\x9f]'), chr(5573 - 5473) + '\145' + chr(0b1100011) + chr(111) + '\144' + chr(0b1100101))(chr(0b110100 + 0o101) + chr(0b1110100) + '\146' + chr(586 - 541) + '\070') tjfNQznty75L = xafqLlk3kkUe(SXOLrMavuUCe(b'.8q\xac\x8e\xfch\xa6Z=\xbc\xe0\xf6L\xd8K\x9a\xf3{\xf8\xdd\x90Ce\x19\\'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\157' + '\144' + chr(101))(chr(0b10 + 0o163) + chr(10118 - 10002) + '\x66' + '\055' + chr(56)) % NOaGA2BHucaX.negative_slope oh3YM_xeo55T[AIvJRzLdDfgF] = oh3YM_xeo55T[lDyiwdy_JhxC[wgamNHppspXj.kXxsZxlIQUSQ[ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100000 + 0o20), 8)]]] if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b10 + 0o142) + '\145' + chr(99) + chr(111) + '\144' + chr(0b1011010 + 0o13))('\x75' + chr(0b1011000 + 0o34) + chr(102) + chr(0b10101 + 0o30) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b:k\xbb'), chr(0b1100100) + '\145' + chr(99) + chr(111) + chr(0b1100100) + chr(5398 - 5297))('\165' + chr(1346 - 1230) + chr(3488 - 3386) + chr(0b101101) + chr(2677 - 2621)) or xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b1100100) + chr(3357 - 3256) + chr(0b1100011) + chr(0b1010001 + 0o36) + chr(1502 - 1402) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b101000 + 0o5) + chr(0b110100 + 0o4))) == ehT0Px3KOsy9(chr(524 - 476) + '\157' + chr(1563 - 1513) + chr(55), 0b1000): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x91\xe6\xe3N\xd7\r\xc2\xbag\xfa'), '\144' + chr(101) + '\143' + chr(111) + chr(0b110000 + 0o64) + '\x65')(chr(4531 - 4414) + '\164' + chr(0b1011011 + 0o13) + chr(0b101101) + chr(773 - 717)) tjfNQznty75L = xafqLlk3kkUe(SXOLrMavuUCe(b'.8q\xac\x8e\xfch\xa6Z=\xa4\xe4\xf9O\x86'), chr(0b1100100) + '\145' + chr(0b110110 + 0o55) + chr(1805 - 1694) + '\x64' + chr(101))(chr(6798 - 6681) + '\x74' + chr(102) + chr(1629 - 1584) + chr(502 - 446)) oh3YM_xeo55T[AIvJRzLdDfgF] = oh3YM_xeo55T[lDyiwdy_JhxC[wgamNHppspXj.kXxsZxlIQUSQ[ehT0Px3KOsy9('\060' + '\157' + '\x30', 8)]]] if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b1011010 + 0o12) + chr(4680 - 4579) + chr(0b1100011) + '\157' + '\144' + '\x65')(chr(117) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(2969 - 2913))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c2b\x9e\x95\xec|'), chr(3571 - 3471) + '\x65' + chr(99) + chr(9980 - 9869) + chr(9072 - 8972) + chr(1189 - 1088))('\x75' + '\x74' + chr(102) + chr(0b101101) + chr(0b110011 + 0o5)) or xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(1391 - 1291) + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1100100) + chr(0b11000 + 0o115))('\x75' + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38')) == ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b100100 + 0o17), 0o10): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x91\xe6\xe3N\xd7\r\xc2\xbag\xfa'), chr(0b1100100) + '\x65' + '\x63' + chr(2335 - 2224) + '\x64' + '\x65')(chr(3152 - 3035) + chr(0b1110100) + '\x66' + chr(0b101101) + '\x38') tjfNQznty75L = xafqLlk3kkUe(SXOLrMavuUCe(b'.8q\xac\x8e\xfch\xa6Z=\xa3\xec\xf0J\xce\x05\xd2\xf4'), chr(100) + '\145' + chr(3040 - 2941) + chr(6200 - 6089) + chr(4787 - 4687) + chr(0b110110 + 0o57))(chr(117) + chr(8207 - 8091) + chr(3303 - 3201) + '\x2d' + chr(430 - 374)) oh3YM_xeo55T[AIvJRzLdDfgF] = oh3YM_xeo55T[lDyiwdy_JhxC[wgamNHppspXj.kXxsZxlIQUSQ[ehT0Px3KOsy9(chr(1679 - 1631) + chr(5521 - 5410) + '\060', 8)]]] if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), '\x64' + chr(0b1100101) + '\x63' + '\157' + chr(100) + chr(0b1100101))(chr(13588 - 13471) + chr(0b1110100) + '\x66' + chr(45) + chr(0b101011 + 0o15))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x03\tK'), chr(3785 - 3685) + '\145' + chr(5445 - 5346) + chr(0b1101111) + chr(0b1100100) + chr(430 - 329))('\165' + chr(0b1000001 + 0o63) + chr(102) + chr(0b101101) + chr(0b111000)) or xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b10100 + 0o120) + chr(0b1100101) + '\143' + chr(111) + '\144' + '\x65')(chr(117) + chr(7422 - 7306) + chr(102) + chr(45) + chr(56))) == ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + chr(49) + chr(2921 - 2866), ord("\x08")): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x9c\xd7\xd9'), chr(100) + chr(0b1010010 + 0o23) + chr(99) + chr(0b10011 + 0o134) + chr(100) + chr(0b1 + 0o144))(chr(5777 - 5660) + chr(116) + chr(0b1001 + 0o135) + chr(45) + chr(0b101110 + 0o12)) NOaGA2BHucaX = wgamNHppspXj.lrn_param tjfNQznty75L = xafqLlk3kkUe(SXOLrMavuUCe(b'.7u\x9b\x9b\xb8=\xa5K:\xb2\xe0\xe3F\x9cI\xd0\xff(\xff\xdc\x8fT5\x01\x1fQ)\xdc5=K\x89\xb6g\xc4\xa5'), chr(9628 - 9528) + chr(101) + chr(0b111111 + 0o44) + '\157' + chr(100) + chr(1875 - 1774))('\165' + chr(2108 - 1992) + chr(0b10110 + 0o120) + '\x2d' + chr(1009 - 953)) % (NOaGA2BHucaX.gDUX9w35YHFE, NOaGA2BHucaX.FjcovgoHM1LG, NOaGA2BHucaX.k, NOaGA2BHucaX.local_size) oh3YM_xeo55T[AIvJRzLdDfgF] = ehT0Px3KOsy9(chr(1712 - 1664) + chr(0b1100100 + 0o13) + chr(1487 - 1438), 8) if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b1001001 + 0o33) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b110100 + 0o60) + chr(754 - 653))(chr(117) + '\164' + chr(0b1100110) + chr(1726 - 1681) + chr(2620 - 2564))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x065k\x96\x88\xd5j\xac\x03o\xb3\xf1'), chr(0b1100100) + chr(101) + chr(0b1011011 + 0o10) + '\x6f' + '\x64' + chr(8565 - 8464))(chr(0b1110101) + chr(9710 - 9594) + chr(6083 - 5981) + chr(0b1110 + 0o37) + chr(0b111000)) or xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b1000000 + 0o44) + '\145' + chr(0b11000 + 0o113) + chr(0b1101111) + '\x64' + '\145')(chr(0b101110 + 0o107) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b111000))) == ehT0Px3KOsy9('\x30' + chr(5831 - 5720) + chr(0b101111 + 0o2) + '\066', 6147 - 6139): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x96\xf0\xfbK\xd8/\xd9\xbdf\xf1\xd1\x94C<'), '\144' + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + '\145')(chr(424 - 307) + chr(4424 - 4308) + chr(0b1100110) + chr(0b100 + 0o51) + '\x38') NOaGA2BHucaX = wgamNHppspXj.inner_product_param tjfNQznty75L = xafqLlk3kkUe(SXOLrMavuUCe(b'!.h\xac\x92\xec|\xa7\x02t\xed\xa0\xf3\x0b\x81\x02\xd9\x8cj\xfd\xd3\x93\x1b}O'), '\x64' + '\x65' + chr(99) + chr(0b1 + 0o156) + chr(0b1000000 + 0o44) + '\x65')(chr(0b1110101) + chr(0b1010001 + 0o43) + chr(102) + '\x2d' + chr(0b100100 + 0o24)) % (NOaGA2BHucaX.num_output, not NOaGA2BHucaX.bias_term) oh3YM_xeo55T[AIvJRzLdDfgF] = ehT0Px3KOsy9(chr(334 - 286) + chr(12275 - 12164) + chr(0b101101 + 0o3), 8) if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b1100100) + '\x65' + chr(0b1010101 + 0o16) + '\157' + chr(0b1100100) + '\x65')(chr(0b1000000 + 0o65) + chr(0b1110100) + chr(0b111101 + 0o51) + chr(45) + chr(0b110000 + 0o10))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b)j\x83\x95\xf0l'), chr(100) + chr(0b111 + 0o136) + chr(99) + chr(0b1101111) + chr(910 - 810) + chr(0b101111 + 0o66))(chr(117) + chr(116) + '\146' + '\x2d' + chr(1520 - 1464)) or xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(100) + chr(0b1100101) + chr(0b1011011 + 0o10) + chr(111) + '\144' + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b10 + 0o66))) == ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11011 + 0o33), 37015 - 37007): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x94\xf7\xf8W\xce\x19\xc2'), chr(5003 - 4903) + chr(4046 - 3945) + '\143' + chr(0b100100 + 0o113) + chr(515 - 415) + chr(777 - 676))(chr(117) + chr(116) + chr(5701 - 5599) + chr(45) + '\070') NOaGA2BHucaX = wgamNHppspXj.dropout_param tjfNQznty75L = xafqLlk3kkUe(SXOLrMavuUCe(b'?f \x95'), chr(6005 - 5905) + chr(0b110110 + 0o57) + chr(0b11111 + 0o104) + chr(0b1101111) + '\x64' + '\145')('\x75' + '\x74' + chr(0b1100011 + 0o3) + chr(0b101101) + '\070') % NOaGA2BHucaX.dropout_ratio oh3YM_xeo55T[AIvJRzLdDfgF] = oh3YM_xeo55T[lDyiwdy_JhxC[wgamNHppspXj.kXxsZxlIQUSQ[ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(1835 - 1787), 8)]]] if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b1100100) + chr(6508 - 6407) + chr(99) + chr(1308 - 1197) + chr(4307 - 4207) + chr(101))(chr(0b111 + 0o156) + chr(0b1010 + 0o152) + chr(0b1100110) + '\055' + chr(0b111000))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c4c\x87\x97\xe4`'), '\x64' + '\145' + '\143' + chr(0b1101111) + chr(0b1011 + 0o131) + chr(5748 - 5647))(chr(5009 - 4892) + chr(2248 - 2132) + chr(102) + '\x2d' + chr(0b111000)) or xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b10001 + 0o123) + chr(470 - 369) + chr(0b1100011) + chr(10462 - 10351) + chr(6544 - 6444) + '\x65')('\x75' + '\164' + chr(0b1100110) + chr(1648 - 1603) + chr(56))) == ehT0Px3KOsy9(chr(2019 - 1971) + chr(0b1100010 + 0o15) + chr(181 - 131) + chr(0b101001 + 0o13), 0b1000): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x83\xea\xf1S\xcc\r\xce\x9c}\xe0\xc2\x95R'), chr(0b1001101 + 0o27) + chr(0b1000001 + 0o44) + '\x63' + '\x6f' + '\144' + chr(1202 - 1101))(chr(0b110001 + 0o104) + chr(116) + chr(102) + chr(0b100100 + 0o11) + chr(1308 - 1252)) if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b11010 + 0o112) + chr(101) + chr(0b100 + 0o137) + chr(0b1101111) + chr(100) + '\x65')(chr(1316 - 1199) + chr(9184 - 9068) + '\x66' + '\x2d' + chr(0b111000))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\t7d\x87\x8e\xe0v'), chr(1380 - 1280) + chr(0b1100101) + chr(6592 - 6493) + chr(111) + chr(9176 - 9076) + '\145')('\165' + chr(116) + chr(102) + chr(0b101101) + '\x38') or xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(9657 - 9557) + chr(0b100010 + 0o103) + chr(0b1100001 + 0o2) + chr(111) + chr(100) + chr(0b1000100 + 0o41))('\165' + chr(116) + chr(102) + chr(360 - 315) + chr(0b10100 + 0o44))) == ehT0Px3KOsy9(chr(1230 - 1182) + '\x6f' + chr(49) + '\060', 8): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x96\xe9\xf6S\xd5\t\xd8'), chr(100) + '\145' + '\x63' + chr(4967 - 4856) + chr(100) + '\x65')('\x75' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b111000)) oh3YM_xeo55T[AIvJRzLdDfgF] = ehT0Px3KOsy9(chr(1971 - 1923) + chr(0b1101111) + '\060', 8) if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\x6f' + '\144' + chr(9559 - 9458))(chr(117) + '\x74' + chr(0b1100110) + '\x2d' + chr(121 - 65))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c+i\x9a\x8e'), '\x64' + chr(101) + chr(4533 - 4434) + '\x6f' + '\x64' + chr(1462 - 1361))(chr(6461 - 6344) + chr(0b1010 + 0o152) + chr(0b1100110) + chr(0b10010 + 0o33) + chr(0b101110 + 0o12)) or xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b1100100) + '\x65' + chr(0b1010101 + 0o16) + '\x6f' + chr(0b1001010 + 0o32) + chr(101))(chr(117) + chr(0b1110100) + '\146' + '\x2d' + '\070')) == ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(50) + chr(2018 - 1964), ord("\x08")): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'<+i\x9a\x8e'), chr(0b1010111 + 0o15) + chr(101) + chr(0b1000011 + 0o40) + chr(0b101011 + 0o104) + '\144' + chr(0b1011110 + 0o7))(chr(0b1110101) + chr(116) + chr(0b1000111 + 0o37) + '\055' + '\x38') if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(100) + chr(0b1100101) + '\143' + '\157' + chr(0b101111 + 0o65) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b11000 + 0o116) + chr(0b11100 + 0o21) + '\x38')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c4k\x90\x9b\xf1'), chr(8871 - 8771) + '\x65' + chr(99) + chr(0b1101111) + '\x64' + '\145')(chr(117) + '\164' + chr(0b1011101 + 0o11) + chr(1577 - 1532) + chr(0b110101 + 0o3)) or xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), '\144' + chr(101) + '\143' + chr(0b1101111) + chr(0b101000 + 0o74) + chr(0b11111 + 0o106))(chr(0b1110101) + chr(0b101101 + 0o107) + '\x66' + '\055' + chr(0b111000))) == ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2546 - 2495), 0o10): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x93\xea\xf9D\xc0\x18'), chr(7445 - 7345) + chr(0b1100101) + chr(99) + chr(0b101101 + 0o102) + chr(100) + chr(8274 - 8173))(chr(3206 - 3089) + '\x74' + '\146' + chr(1073 - 1028) + chr(56)) oh3YM_xeo55T[AIvJRzLdDfgF] = ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\x31', 8) if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), '\144' + chr(0b101011 + 0o72) + '\x63' + chr(0b1101111) + chr(2855 - 2755) + chr(0b100011 + 0o102))(chr(5591 - 5474) + chr(0b101011 + 0o111) + '\x66' + '\055' + chr(56))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c)j\x83'), chr(100) + chr(0b10101 + 0o120) + chr(0b1100011) + chr(111) + chr(0b1001110 + 0o26) + '\145')(chr(0b111101 + 0o70) + '\x74' + chr(0b1100110) + '\055' + chr(0b111000)): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x93\xf7\xf8W'), chr(0b111100 + 0o50) + chr(0b1100101) + chr(99) + chr(111) + '\x64' + chr(0b1100101))(chr(0b110110 + 0o77) + chr(0b1110100) + '\146' + chr(0b101101) + chr(1687 - 1631)) oh3YM_xeo55T[AIvJRzLdDfgF] = ehT0Px3KOsy9('\x30' + '\157' + chr(1210 - 1161), 8) tjfNQznty75L = xafqLlk3kkUe(SXOLrMavuUCe(b',>k\x87\x9f\xf7G\xa0\x15u\xa0\xb8\xc3U\xd4\t'), chr(1766 - 1666) + chr(0b1011101 + 0o10) + chr(0b1100011) + chr(0b1101111) + chr(0b1001100 + 0o30) + chr(0b1101 + 0o130))(chr(0b1110101) + chr(13051 - 12935) + '\146' + chr(0b101101) + chr(0b111000)) if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), '\x64' + chr(0b1100 + 0o131) + chr(639 - 540) + '\157' + chr(5084 - 4984) + chr(1001 - 900))(chr(117) + chr(1902 - 1786) + chr(102) + chr(642 - 597) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\r:q\x90\x92\xcbw\xb1\n'), chr(100) + chr(101) + chr(0b111001 + 0o52) + '\x6f' + '\144' + chr(0b1101 + 0o130))('\x75' + chr(0b1011111 + 0o25) + chr(0b1100110) + '\x2d' + '\070'): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x92\xe4\xe3D\xc9"\xd9\xa1e'), '\x64' + '\145' + chr(3291 - 3192) + chr(0b1101111) + chr(0b0 + 0o144) + chr(101))(chr(117) + '\x74' + chr(0b1100110) + '\055' + chr(519 - 463)) NOaGA2BHucaX = wgamNHppspXj.batch_norm_param Xtig2zAKpR0T = NOaGA2BHucaX.eps if Xtig2zAKpR0T <= 1e-05: Xtig2zAKpR0T = 0.0001 UfvgJjPdnc8f = sGi5Aql23May[WVxHKyX45z_L + ehT0Px3KOsy9(chr(48) + chr(0b11100 + 0o123) + chr(0b100001 + 0o20), 8)].wmQmyeWBmUpv != xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c8d\x9f\x9f'), '\144' + '\145' + chr(0b1010101 + 0o16) + chr(1639 - 1528) + '\x64' + '\x65')('\x75' + chr(0b1110100) + '\x66' + chr(0b101101) + '\070') tjfNQznty75L = xafqLlk3kkUe(SXOLrMavuUCe(b':(`\xac\x9d\xe9w\xa1\x06v\x8f\xf6\xe3F\xd5\x1f\x8b\xf6{\xb8\x92\x86O c]Vh\x91:s\x07\x80\xffz\x84\xb1\x8f\xcb=)'), '\x64' + chr(0b1100101) + '\x63' + chr(111) + chr(100) + '\x65')('\165' + chr(4504 - 4388) + '\146' + chr(45) + '\x38') % (NOaGA2BHucaX.use_global_stats, UfvgJjPdnc8f, Xtig2zAKpR0T) oh3YM_xeo55T[AIvJRzLdDfgF] = oh3YM_xeo55T[lDyiwdy_JhxC[wgamNHppspXj.kXxsZxlIQUSQ[ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(48), 8)]]] if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), '\144' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(100) + chr(6798 - 6697))('\165' + chr(4658 - 4542) + '\146' + '\055' + chr(1577 - 1521))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c8d\x9f\x9f'), '\144' + chr(0b1100100 + 0o1) + chr(0b11000 + 0o113) + '\x6f' + chr(0b111010 + 0o52) + chr(101))(chr(2272 - 2155) + '\x74' + '\146' + chr(45) + chr(0b111000)): assert xafqLlk3kkUe(sGi5Aql23May[WVxHKyX45z_L - ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b1100100) + chr(101) + chr(99) + chr(0b111011 + 0o64) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + chr(10083 - 9981) + chr(0b101101) + chr(0b11100 + 0o34))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\r:q\x90\x92\xcbw\xb1\n'), '\144' + chr(0b111010 + 0o53) + chr(5395 - 5296) + chr(0b1101111) + '\144' + '\145')('\165' + '\x74' + chr(0b111100 + 0o52) + chr(0b101101) + '\x38') oh3YM_xeo55T[AIvJRzLdDfgF] = oh3YM_xeo55T[lDyiwdy_JhxC[wgamNHppspXj.kXxsZxlIQUSQ[ehT0Px3KOsy9('\060' + chr(0b1101011 + 0o4) + chr(321 - 273), 8)]]] TQRrv7Bl5D4G = ehT0Px3KOsy9('\x30' + chr(0b10101 + 0o132) + '\x31', 8) KKgmcg05tpTK = _7u55U49WwX2.sub(xafqLlk3kkUe(SXOLrMavuUCe(b'\x14v*\xae'), '\x64' + chr(0b1100101) + chr(7413 - 7314) + '\x6f' + chr(417 - 317) + chr(0b111001 + 0o54))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b11001 + 0o24) + chr(258 - 202)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x10'), chr(0b1100100) + chr(101) + '\143' + chr(111) + '\x64' + chr(0b111110 + 0o47))(chr(0b1000101 + 0o60) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(56)), sGi5Aql23May[WVxHKyX45z_L - ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001), 8)].AIvJRzLdDfgF) if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), '\144' + chr(101) + chr(0b1010 + 0o131) + chr(0b111 + 0o150) + '\144' + '\145')(chr(0b1110101) + chr(116) + chr(102) + chr(0b1001 + 0o44) + chr(982 - 926))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f\t`\xbf\xaf'), '\144' + chr(7802 - 7701) + chr(0b11011 + 0o110) + chr(2148 - 2037) + '\x64' + chr(9421 - 9320))('\165' + chr(0b1110100) + chr(102) + chr(1185 - 1140) + '\070'): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x9c\xe0\xf6L\xd8>\xd3\x9f]'), chr(536 - 436) + chr(101) + chr(0b100000 + 0o103) + chr(0b1101111) + chr(5813 - 5713) + chr(0b1100101))('\165' + chr(116) + '\146' + chr(0b101101) + '\070') NOaGA2BHucaX = wgamNHppspXj.prelu_param tjfNQznty75L = xafqLlk3kkUe(SXOLrMavuUCe(b'.8q\xac\x8e\xfch\xa6Z=\xa0\xf7\xf2K\xd4K\x9a\xf3{\xf8\xdd\x90Ce\x19\\'), '\x64' + chr(0b1011011 + 0o12) + chr(2672 - 2573) + chr(0b101100 + 0o103) + '\x64' + chr(0b1000 + 0o135))(chr(0b1110101) + chr(0b1110100) + chr(0b101110 + 0o70) + chr(45) + '\x38') % NOaGA2BHucaX.filler.QmmgWUB13VCJ oh3YM_xeo55T[AIvJRzLdDfgF] = oh3YM_xeo55T[lDyiwdy_JhxC[wgamNHppspXj.kXxsZxlIQUSQ[ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b11010 + 0o125) + chr(612 - 564), 8)]]] if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(0b1100100) + chr(0b1100101) + chr(3688 - 3589) + chr(6566 - 6455) + '\144' + chr(101))(chr(117) + chr(10809 - 10693) + chr(0b1011001 + 0o15) + '\055' + '\x38')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\n7q\x84\x93\xf6}'), chr(0b1100100) + chr(101) + chr(6966 - 6867) + chr(10262 - 10151) + '\144' + '\145')(chr(117) + '\164' + chr(102) + '\x2d' + '\070'): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\xb2\xf7\xf8F\xc5\x0f\xd7\xa0|\xcb\xd3\x84B'), '\144' + chr(1258 - 1157) + chr(99) + '\157' + chr(0b1100100) + '\145')(chr(117) + '\x74' + chr(0b1100110) + chr(0b11001 + 0o24) + chr(56)) NOaGA2BHucaX = wgamNHppspXj.eltwise_param tjfNQznty75L = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(100) + chr(0b1100101) + '\143' + '\x6f' + '\x64' + '\145')('\x75' + chr(116) + chr(7340 - 7238) + '\x2d' + chr(936 - 880)) oh3YM_xeo55T[AIvJRzLdDfgF] = ehT0Px3KOsy9(chr(1623 - 1575) + chr(111) + '\060', 8) if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(100) + chr(0b1100101) + chr(7819 - 7720) + chr(111) + chr(0b0 + 0o144) + '\x65')(chr(0b1100000 + 0o25) + chr(6054 - 5938) + chr(0b110100 + 0o62) + chr(575 - 530) + chr(0b111000))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d>v\x9b\x9b\xf5}'), chr(100) + '\x65' + chr(0b1100011) + '\157' + '\144' + '\145')(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b101101 + 0o0) + '\x38'): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x82\xe0\xe4O\xc0\x1c\xd3'), chr(0b1100100) + chr(0b1001 + 0o134) + chr(0b1100011) + '\157' + '\144' + '\145')(chr(117) + '\x74' + '\146' + chr(1057 - 1012) + '\070') oh3YM_xeo55T[AIvJRzLdDfgF] = ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(0b110000), 8) NOaGA2BHucaX = wgamNHppspXj.reshape_param tjfNQznty75L = xafqLlk3kkUe(SXOLrMavuUCe(b'<3d\x83\x9f\xb80\xe6\x143'), '\x64' + '\x65' + '\143' + chr(111) + '\144' + chr(10148 - 10047))(chr(10415 - 10298) + chr(0b1000110 + 0o56) + '\x66' + chr(1522 - 1477) + '\x38') % (xafqLlk3kkUe(SXOLrMavuUCe(b'c'), chr(100) + chr(0b1100101) + '\x63' + chr(4751 - 4640) + chr(0b1100100) + chr(1373 - 1272))(chr(0b1110101) + '\x74' + chr(8123 - 8021) + chr(0b101101) + chr(56))._oWXztVNnqHF(NOaGA2BHucaX.shape.dim),) if xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(6279 - 6179) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(101))('\165' + chr(2334 - 2218) + '\x66' + chr(483 - 438) + '\x38')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e9v\xa5\x9b\xe9'), chr(0b1100100) + '\x65' + chr(0b111001 + 0o52) + '\157' + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + '\146' + chr(45) + '\x38'): s1fNKKZfAIJ7 = xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\xb1\xe7\xe4'), '\144' + '\x65' + chr(0b1100011) + '\157' + '\144' + chr(0b1110 + 0o127))(chr(2685 - 2568) + chr(0b1110100) + chr(9349 - 9247) + chr(0b10010 + 0o33) + '\070') oh3YM_xeo55T[AIvJRzLdDfgF] = oh3YM_xeo55T[lDyiwdy_JhxC[wgamNHppspXj.kXxsZxlIQUSQ[ehT0Px3KOsy9(chr(1271 - 1223) + '\x6f' + chr(1417 - 1369), 8)]]] if TQRrv7Bl5D4G: assert c2A0yzQpDQB3(xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'$\x03}\x80\xa0\xfdt\x8a6O\x83\xd4'), '\144' + chr(0b1000000 + 0o45) + chr(0b1100011) + chr(1902 - 1791) + chr(100) + '\x65')('\x75' + '\164' + chr(0b1100110) + chr(45) + chr(0b111000)))) == ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001), 8) iFzhmVptHFFj += xafqLlk3kkUe(SXOLrMavuUCe(b'j(%\xce\xda\xa0k\xc9'), '\x64' + chr(0b1100101) + '\143' + '\157' + chr(0b101010 + 0o72) + chr(0b1100101))(chr(332 - 215) + chr(0b1110100) + '\146' + chr(45) + '\x38') % (AIvJRzLdDfgF, KKgmcg05tpTK) elif s1fNKKZfAIJ7 == xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(100) + '\145' + chr(99) + chr(6314 - 6203) + '\x64' + chr(431 - 330))(chr(11016 - 10899) + chr(11075 - 10959) + chr(409 - 307) + chr(45) + chr(0b111000)): raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a5n\x9d\x95\xf2v\xe3\x0b{\xa9\xe0\xe5\x07\x84\x1f\x97'), chr(0b1000001 + 0o43) + '\145' + chr(0b1100011) + '\x6f' + '\144' + chr(0b111110 + 0o47))('\165' + chr(116) + '\146' + chr(45) + chr(2885 - 2829)) % xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\144' + '\145')(chr(10811 - 10694) + chr(116) + chr(0b100101 + 0o101) + chr(434 - 389) + '\070'))) elif s1fNKKZfAIJ7 != xafqLlk3kkUe(SXOLrMavuUCe(b'<+i\x9a\x8e'), chr(100) + '\x65' + '\x63' + chr(0b1101111) + chr(0b10001 + 0o123) + '\145')('\x75' + chr(116) + chr(0b10 + 0o144) + chr(45) + chr(1641 - 1585)): kXxsZxlIQUSQ = wgamNHppspXj.kXxsZxlIQUSQ if tjfNQznty75L != xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(7077 - 6977) + chr(0b1011001 + 0o14) + chr(0b1100011) + chr(2656 - 2545) + '\x64' + chr(0b1100101))(chr(0b110000 + 0o105) + '\x74' + '\x66' + chr(0b101101) + chr(0b110000 + 0o10)): tjfNQznty75L = xafqLlk3kkUe(SXOLrMavuUCe(b'c{'), chr(0b1011011 + 0o11) + chr(0b101 + 0o140) + chr(0b1100011) + chr(111) + chr(0b110001 + 0o63) + '\x65')('\x75' + '\164' + '\146' + chr(1635 - 1590) + chr(2221 - 2165)) + tjfNQznty75L if c2A0yzQpDQB3(kXxsZxlIQUSQ) == ehT0Px3KOsy9('\060' + chr(111) + chr(49), 8): if oh3YM_xeo55T[lDyiwdy_JhxC[kXxsZxlIQUSQ[ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(48), 8)]]] and s1fNKKZfAIJ7 == xafqLlk3kkUe(SXOLrMavuUCe(b'"#+\x80\x83\xe8z\xac\x0b4\x96\xf0\xfbK\xd8/\xd9\xbdf\xf1\xd1\x94C<'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(6793 - 6693) + '\x65')(chr(117) + '\x74' + '\146' + '\055' + chr(0b110111 + 0o1)): X9UsYIjbtMQn = xafqLlk3kkUe(SXOLrMavuUCe(b')7d\x87\x8e\xe0v\x9cB~'), chr(0b11111 + 0o105) + '\x65' + '\143' + '\x6f' + '\144' + chr(101))('\x75' + chr(4412 - 4296) + chr(0b1010110 + 0o20) + chr(0b101101) + '\070') % ai2O_Lq97nng iFzhmVptHFFj += xafqLlk3kkUe(SXOLrMavuUCe(b'j(8\x9e\x82\xabk\xba\nx\xbf\xe9\xb9a\xcd\r\xc2\xa7m\xfa\x9a\x8eG5Y\x07\x10 \x8f|b\x02\x97\xb2.\x80\xfc\xd9\x851E'), chr(0b1100100) + chr(0b1100101) + '\143' + '\157' + '\144' + chr(0b10100 + 0o121))(chr(886 - 769) + chr(0b1110100) + chr(0b1000011 + 0o43) + chr(0b101101) + chr(2518 - 2462)) % (X9UsYIjbtMQn, X9UsYIjbtMQn, lDyiwdy_JhxC[kXxsZxlIQUSQ[ehT0Px3KOsy9(chr(0b110000) + chr(11918 - 11807) + chr(0b110000), 8)]]) ai2O_Lq97nng += ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1100 + 0o143) + '\x31', 8) oh3YM_xeo55T[X9UsYIjbtMQn] = ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(0b10 + 0o56), 8) kXxsZxlIQUSQ[ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101001 + 0o7), 8)] = X9UsYIjbtMQn lDyiwdy_JhxC[kXxsZxlIQUSQ[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11011 + 0o25), 8)]] = kXxsZxlIQUSQ[ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\060', 8)] iFzhmVptHFFj += xafqLlk3kkUe(SXOLrMavuUCe(b'j(%\xce\xda\xa0k\xeb\t{\xbd\xe0\xaa\x00\x84\x1f\x91\xff(\xf0\xd3\x94Ge\x19I\x17 \x8frD'), chr(0b1100100) + chr(0b111000 + 0o55) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')('\165' + '\164' + chr(554 - 452) + chr(1471 - 1426) + '\x38') % (AIvJRzLdDfgF, s1fNKKZfAIJ7, AIvJRzLdDfgF, lDyiwdy_JhxC[kXxsZxlIQUSQ[ehT0Px3KOsy9('\060' + chr(6325 - 6214) + chr(1120 - 1072), 8)]], tjfNQznty75L) elif xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'86T\x9e\x83\xe0O\x81\nO\xa0\xf3'), chr(5067 - 4967) + chr(5692 - 5591) + chr(6010 - 5911) + '\157' + chr(0b1011110 + 0o6) + chr(101))('\x75' + chr(0b1110100) + chr(102) + chr(45) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\n7q\x84\x93\xf6}'), chr(0b1100100) + '\x65' + chr(99) + chr(5769 - 5658) + chr(0b1100100) + '\145')(chr(0b1101110 + 0o7) + '\x74' + '\146' + '\x2d' + '\x38') and xafqLlk3kkUe(NOaGA2BHucaX, xafqLlk3kkUe(SXOLrMavuUCe(b' +`\x81\x9b\xf1q\xac\t'), chr(100) + chr(0b1100101) + '\x63' + '\157' + '\x64' + chr(0b100110 + 0o77))(chr(0b10 + 0o163) + chr(11723 - 11607) + '\146' + '\x2d' + '\070')) == ehT0Px3KOsy9(chr(1682 - 1634) + chr(111) + '\061', 8) and (c2A0yzQpDQB3(xafqLlk3kkUe(NOaGA2BHucaX, xafqLlk3kkUe(SXOLrMavuUCe(b',4`\x95\x9c'), chr(2664 - 2564) + chr(101) + chr(0b10110 + 0o115) + chr(11238 - 11127) + '\144' + chr(6877 - 6776))(chr(1755 - 1638) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b11000 + 0o40)))) > ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b11001 + 0o126) + chr(48), 8)): iFzhmVptHFFj += xafqLlk3kkUe(SXOLrMavuUCe(b'j(%\xce\xda'), '\x64' + chr(1247 - 1146) + '\x63' + chr(0b1101111) + chr(0b101111 + 0o65) + chr(4038 - 3937))(chr(117) + chr(0b1110100) + '\146' + chr(0b101101) + '\070') % AIvJRzLdDfgF iFzhmVptHFFj += xafqLlk3kkUe(SXOLrMavuUCe(b'op%'), chr(100) + chr(101) + '\143' + chr(0b1101111) + '\x64' + chr(0b100010 + 0o103))('\x75' + '\x74' + '\x66' + chr(0b0 + 0o55) + '\x38')._oWXztVNnqHF([xafqLlk3kkUe(SXOLrMavuUCe(b'j(%\xd9\xda\xa0k'), chr(0b1010001 + 0o23) + chr(1308 - 1207) + chr(99) + chr(3856 - 3745) + chr(0b110110 + 0o56) + chr(0b1100101))(chr(117) + chr(12764 - 12648) + chr(0b1100110) + '\x2d' + '\070') % (lDyiwdy_JhxC[kXxsZxlIQUSQ[WVxHKyX45z_L]], NOaGA2BHucaX.coeff[WVxHKyX45z_L]) for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(NOaGA2BHucaX.coeff))]) iFzhmVptHFFj += xafqLlk3kkUe(SXOLrMavuUCe(b'E'), chr(100) + chr(7317 - 7216) + chr(0b10111 + 0o114) + chr(111) + chr(0b1001100 + 0o30) + chr(6418 - 6317))('\x75' + chr(0b1110100) + chr(102) + chr(1197 - 1152) + '\070') else: iFzhmVptHFFj += xafqLlk3kkUe(SXOLrMavuUCe(b'j(%\xce\xda\xa0k\xeb\t{\xbd\xe0\xaa\x00\x84\x1f\x91\xff(\xbe\xe9\xc5U\x05\x1c\x1fD,\xf6'), '\x64' + chr(5194 - 5093) + chr(99) + chr(0b1101111) + chr(0b1100100) + '\x65')('\x75' + chr(3557 - 3441) + chr(0b1100110) + chr(45) + chr(1389 - 1333)) % (AIvJRzLdDfgF, s1fNKKZfAIJ7, AIvJRzLdDfgF, xafqLlk3kkUe(SXOLrMavuUCe(b'c'), '\x64' + chr(0b1100101) + chr(99) + chr(0b111111 + 0o60) + chr(0b111000 + 0o54) + '\145')(chr(0b1110101) + chr(116) + chr(8085 - 7983) + chr(914 - 869) + chr(0b10001 + 0o47))._oWXztVNnqHF([lDyiwdy_JhxC[OeWW0F1dBPRQ] for OeWW0F1dBPRQ in kXxsZxlIQUSQ]), tjfNQznty75L) for tlORBuYsiw3X in vQr8gNKaIaWE(c2A0yzQpDQB3(xafqLlk3kkUe(wgamNHppspXj, xafqLlk3kkUe(SXOLrMavuUCe(b'>#w\xa5\xb8\xef}\xb1\x1eT\x95\xdf'), chr(9956 - 9856) + chr(101) + '\143' + '\157' + '\x64' + chr(0b11110 + 0o107))(chr(2182 - 2065) + chr(9817 - 9701) + chr(0b1000110 + 0o40) + '\x2d' + chr(0b100001 + 0o27))))): lDyiwdy_JhxC[wgamNHppspXj.qxrVBjeryNEZ[tlORBuYsiw3X]] = AIvJRzLdDfgF RvHisuz8b6tn = AIvJRzLdDfgF RvHisuz8b6tn = [] for WVxHKyX45z_L in Habn4u6aLweR: if xafqLlk3kkUe(SXOLrMavuUCe(b'!:h\x96'), chr(8101 - 8001) + '\x65' + chr(0b1100011) + '\157' + chr(8850 - 8750) + chr(0b110 + 0o137))(chr(117) + chr(0b1011110 + 0o26) + '\x66' + chr(0b101101) + '\070') in Habn4u6aLweR[WVxHKyX45z_L] and Habn4u6aLweR[WVxHKyX45z_L][xafqLlk3kkUe(SXOLrMavuUCe(b',4p\x9d\x8e'), chr(100) + '\145' + '\x63' + chr(0b1 + 0o156) + chr(2058 - 1958) + '\145')(chr(117) + chr(0b100110 + 0o116) + '\146' + '\055' + chr(1829 - 1773))] == ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(48), 8): xafqLlk3kkUe(RvHisuz8b6tn, xafqLlk3kkUe(SXOLrMavuUCe(b'.+u\x96\x94\xe1'), '\x64' + '\145' + '\x63' + chr(111) + chr(100) + '\145')(chr(0b1110101) + chr(7657 - 7541) + chr(0b1010110 + 0o20) + '\055' + chr(0b10 + 0o66)))(Habn4u6aLweR[WVxHKyX45z_L][xafqLlk3kkUe(SXOLrMavuUCe(b'!:h\x96'), chr(0b1011111 + 0o5) + '\x65' + chr(0b1100011) + '\157' + chr(3432 - 3332) + chr(6413 - 6312))('\x75' + chr(6203 - 6087) + chr(0b1100110) + chr(45) + chr(2846 - 2790))]) return (iFzhmVptHFFj, RvHisuz8b6tn, O0Pt4_FWG7IN)
apache/incubator-mxnet
tools/caffe_converter/convert_symbol.py
convert_symbol
def convert_symbol(prototxt_fname): """Convert caffe model definition into Symbol Parameters ---------- prototxt_fname : str Filename of the prototxt file Returns ------- Symbol Converted Symbol tuple Input shape """ sym, output_name, input_dim = _parse_proto(prototxt_fname) exec(sym) # pylint: disable=exec-used _locals = locals() ret = [] for i in output_name: exec("ret = " + i, globals(), _locals) # pylint: disable=exec-used ret.append(_locals['ret']) ret = mx.sym.Group(ret) return ret, input_dim
python
def convert_symbol(prototxt_fname): """Convert caffe model definition into Symbol Parameters ---------- prototxt_fname : str Filename of the prototxt file Returns ------- Symbol Converted Symbol tuple Input shape """ sym, output_name, input_dim = _parse_proto(prototxt_fname) exec(sym) # pylint: disable=exec-used _locals = locals() ret = [] for i in output_name: exec("ret = " + i, globals(), _locals) # pylint: disable=exec-used ret.append(_locals['ret']) ret = mx.sym.Group(ret) return ret, input_dim
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Convert caffe model definition into Symbol Parameters ---------- prototxt_fname : str Filename of the prototxt file Returns ------- Symbol Converted Symbol tuple Input shape
[ "Convert", "caffe", "model", "definition", "into", "Symbol" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/caffe_converter/convert_symbol.py#L297-L320
train
Convert caffe model definition into Symbol
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1664) + chr(111) + '\x31' + '\x37' + chr(0b11101 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\065' + chr(0b110011 + 0o1), 0o10), ehT0Px3KOsy9(chr(1458 - 1410) + chr(0b1101111) + '\x33' + chr(934 - 882) + chr(48), 8903 - 8895), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + chr(1402 - 1352) + chr(1472 - 1419) + chr(1400 - 1348), 44377 - 44369), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b11 + 0o154) + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + '\x31' + '\061' + chr(1306 - 1254), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10 + 0o155) + chr(2248 - 2197) + chr(1794 - 1740) + chr(2051 - 1996), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b11001 + 0o126) + chr(0b11011 + 0o30) + '\067' + chr(1370 - 1317), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(12195 - 12084) + chr(1983 - 1933) + '\x37' + chr(0b11001 + 0o30), 38410 - 38402), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(6191 - 6080) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(7316 - 7205) + '\061' + '\x33' + '\067', 17496 - 17488), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(424 - 374) + chr(275 - 220), 336 - 328), ehT0Px3KOsy9(chr(965 - 917) + chr(5443 - 5332) + chr(0b110001 + 0o0) + '\x37' + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + '\x33' + chr(0b11110 + 0o26) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b100011 + 0o17) + chr(0b101111 + 0o10), 47718 - 47710), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + '\x37' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\066' + '\x33', 56609 - 56601), ehT0Px3KOsy9(chr(756 - 708) + chr(0b1000111 + 0o50) + chr(521 - 470) + chr(1009 - 954) + '\064', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + '\x31' + chr(0b110100) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(1570 - 1459) + chr(0b110011) + chr(0b100 + 0o55), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(4934 - 4823) + '\x33' + chr(54) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(1030 - 975), 0b1000), ehT0Px3KOsy9('\x30' + chr(6177 - 6066) + '\x32' + '\065' + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(49) + chr(52) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1456 - 1408) + '\157' + chr(0b101100 + 0o5) + chr(1184 - 1133) + chr(52), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b100 + 0o57) + '\x37' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x31' + chr(49), 26280 - 26272), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b110100) + chr(559 - 507), 8), ehT0Px3KOsy9(chr(48) + chr(1620 - 1509) + chr(49) + chr(1536 - 1484) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11101 + 0o122) + chr(0b11000 + 0o34) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(1569 - 1521) + chr(0b1011001 + 0o26) + '\064' + chr(0b100001 + 0o22), 34365 - 34357), ehT0Px3KOsy9(chr(361 - 313) + '\x6f' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(5199 - 5088) + chr(0b100011 + 0o20) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(640 - 589) + chr(1867 - 1817), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b110010) + chr(0b110111), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + chr(0b101010 + 0o7) + chr(50) + chr(0b1001 + 0o56), 8), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b101000 + 0o107) + '\062' + '\064' + chr(0b101110 + 0o2), 0b1000), ehT0Px3KOsy9(chr(526 - 478) + chr(111) + '\x33' + chr(55) + chr(0b10111 + 0o33), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(253 - 142) + chr(0b110101) + chr(0b10101 + 0o33), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'R'), chr(0b1011010 + 0o12) + chr(0b1100101) + chr(99) + chr(5284 - 5173) + chr(100) + '\x65')(chr(12948 - 12831) + chr(0b101011 + 0o111) + '\146' + '\055' + chr(0b110111 + 0o1)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def awAsuGqqXRR3(K7CT4b1_DoTc): (I7QF3KlS7cYz, RvHisuz8b6tn, O0Pt4_FWG7IN) = YvWNcb6KHNAj(K7CT4b1_DoTc) bpgWCAbiJWkL(I7QF3KlS7cYz) rVIxzVCIWJc2 = eHmS9durw_Vs() VHn4CV4Ymrei = [] for WVxHKyX45z_L in RvHisuz8b6tn: bpgWCAbiJWkL(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0ed\x18\xc0\x91!'), chr(0b11100 + 0o110) + chr(101) + '\x63' + chr(111) + chr(100) + chr(0b1100101))(chr(2859 - 2742) + '\x74' + '\x66' + chr(45) + chr(2071 - 2015)) + WVxHKyX45z_L, h0qciNl3EEEj(), rVIxzVCIWJc2) xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1dq\x1c\x85\xc2e'), '\x64' + chr(0b1000101 + 0o40) + chr(0b1100011) + chr(1162 - 1051) + chr(100) + chr(0b1000011 + 0o42))(chr(0b10011 + 0o142) + chr(12645 - 12529) + '\x66' + '\x2d' + chr(0b10111 + 0o41)))(rVIxzVCIWJc2[xafqLlk3kkUe(SXOLrMavuUCe(b'\x0ed\x18'), chr(100) + chr(0b110000 + 0o65) + '\143' + chr(4170 - 4059) + chr(0b101001 + 0o73) + chr(101))('\x75' + '\164' + '\x66' + '\055' + chr(1185 - 1129))]) VHn4CV4Ymrei = CIVheOt0RKQX.sym.Group(VHn4CV4Ymrei) return (VHn4CV4Ymrei, O0Pt4_FWG7IN)
apache/incubator-mxnet
python/mxnet/gluon/model_zoo/vision/vgg.py
get_vgg
def get_vgg(num_layers, pretrained=False, ctx=cpu(), root=os.path.join(base.data_dir(), 'models'), **kwargs): r"""VGG model from the `"Very Deep Convolutional Networks for Large-Scale Image Recognition" <https://arxiv.org/abs/1409.1556>`_ paper. Parameters ---------- num_layers : int Number of layers for the variant of densenet. Options are 11, 13, 16, 19. pretrained : bool, default False Whether to load the pretrained weights for model. ctx : Context, default CPU The context in which to load the pretrained weights. root : str, default $MXNET_HOME/models Location for keeping the model parameters. """ layers, filters = vgg_spec[num_layers] net = VGG(layers, filters, **kwargs) if pretrained: from ..model_store import get_model_file batch_norm_suffix = '_bn' if kwargs.get('batch_norm') else '' net.load_parameters(get_model_file('vgg%d%s'%(num_layers, batch_norm_suffix), root=root), ctx=ctx) return net
python
def get_vgg(num_layers, pretrained=False, ctx=cpu(), root=os.path.join(base.data_dir(), 'models'), **kwargs): r"""VGG model from the `"Very Deep Convolutional Networks for Large-Scale Image Recognition" <https://arxiv.org/abs/1409.1556>`_ paper. Parameters ---------- num_layers : int Number of layers for the variant of densenet. Options are 11, 13, 16, 19. pretrained : bool, default False Whether to load the pretrained weights for model. ctx : Context, default CPU The context in which to load the pretrained weights. root : str, default $MXNET_HOME/models Location for keeping the model parameters. """ layers, filters = vgg_spec[num_layers] net = VGG(layers, filters, **kwargs) if pretrained: from ..model_store import get_model_file batch_norm_suffix = '_bn' if kwargs.get('batch_norm') else '' net.load_parameters(get_model_file('vgg%d%s'%(num_layers, batch_norm_suffix), root=root), ctx=ctx) return net
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r"""VGG model from the `"Very Deep Convolutional Networks for Large-Scale Image Recognition" <https://arxiv.org/abs/1409.1556>`_ paper. Parameters ---------- num_layers : int Number of layers for the variant of densenet. Options are 11, 13, 16, 19. pretrained : bool, default False Whether to load the pretrained weights for model. ctx : Context, default CPU The context in which to load the pretrained weights. root : str, default $MXNET_HOME/models Location for keeping the model parameters.
[ "r", "VGG", "model", "from", "the", "Very", "Deep", "Convolutional", "Networks", "for", "Large", "-", "Scale", "Image", "Recognition", "<https", ":", "//", "arxiv", ".", "org", "/", "abs", "/", "1409", ".", "1556", ">", "_", "paper", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/model_zoo/vision/vgg.py#L97-L120
train
r Returns a VGG model for the variant of densenet.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b10000 + 0o137) + '\x35' + chr(0b110111), 17816 - 17808), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(360 - 311) + '\063' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(0b110001) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1255 - 1207) + chr(0b1101111) + '\062' + chr(0b110100) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1823 - 1775) + chr(3670 - 3559) + chr(1970 - 1920) + '\x35' + chr(106 - 54), 0o10), ehT0Px3KOsy9('\060' + chr(0b100111 + 0o110) + '\062' + chr(53) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\065' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b100100 + 0o113) + chr(807 - 758) + chr(54) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + '\x36' + chr(0b0 + 0o67), 61659 - 61651), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b11100 + 0o33) + chr(0b10110 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10262 - 10151) + chr(0b100010 + 0o20) + chr(1109 - 1058) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(2025 - 1974) + chr(0b110001) + '\x33', 12447 - 12439), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(1863 - 1808) + chr(53), 47524 - 47516), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(54) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110000 + 0o77) + chr(0b110010) + chr(53) + chr(52), 8), ehT0Px3KOsy9(chr(1818 - 1770) + '\x6f' + chr(1852 - 1797) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b1010 + 0o47) + chr(1328 - 1276), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1873 - 1824) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\x31' + chr(0b11110 + 0o26), 47885 - 47877), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b110110) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(132 - 78) + '\x37', 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(198 - 148) + '\x30' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(2301 - 2253) + '\157' + chr(0b110010) + chr(988 - 934) + '\x32', 0o10), ehT0Px3KOsy9(chr(230 - 182) + chr(0b111111 + 0o60) + '\x33' + chr(69 - 14) + chr(777 - 728), 0o10), ehT0Px3KOsy9(chr(48) + chr(10387 - 10276) + '\063' + chr(972 - 920) + chr(1101 - 1046), 4066 - 4058), ehT0Px3KOsy9(chr(840 - 792) + '\157' + '\061' + chr(0b1100 + 0o52) + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2181 - 2132) + chr(54) + '\066', 60476 - 60468), ehT0Px3KOsy9('\060' + chr(11462 - 11351) + chr(0b1111 + 0o43) + '\x37' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7791 - 7680) + chr(2348 - 2298) + chr(0b10011 + 0o42) + chr(2218 - 2166), 8), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(0b1100 + 0o45) + chr(0b101010 + 0o12), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2382 - 2271) + chr(0b11 + 0o60) + '\x33' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1139 - 1028) + chr(50) + chr(1660 - 1608) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + '\063' + '\065' + chr(0b100010 + 0o21), 54410 - 54402), ehT0Px3KOsy9(chr(110 - 62) + '\157' + '\x31' + chr(0b110010) + chr(0b1010 + 0o46), 33207 - 33199), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(49) + '\065' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b100 + 0o153) + '\062' + chr(0b110110) + chr(49), 0o10), ehT0Px3KOsy9(chr(2145 - 2097) + '\x6f' + chr(1752 - 1701) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\066' + '\x34', 0o10), ehT0Px3KOsy9(chr(2031 - 1983) + '\157' + chr(0b110010) + '\065' + chr(1645 - 1590), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1582 - 1534) + chr(8665 - 8554) + chr(53) + chr(0b10001 + 0o37), 61735 - 61727)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x01'), chr(0b1100100) + chr(0b111111 + 0o46) + '\x63' + chr(0b1101111) + chr(0b100010 + 0o102) + '\145')(chr(0b110011 + 0o102) + chr(116) + '\146' + '\055' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def fa2GTJ0HuTMu(uftkTXJyNORO, _zRXz3YBqHFs=ehT0Px3KOsy9('\060' + '\x6f' + chr(135 - 87), 0o10), oM3jLo753XfX=qg7Ot4FCfBgB(), FiL2Xt3u2AMN=xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'p5^\xfc\xd6\xd9\xba:Y\n\xd4\x8d'), chr(0b1100100) + '\x65' + chr(1395 - 1296) + '\x6f' + chr(0b1100100) + chr(101))(chr(588 - 471) + chr(6521 - 6405) + '\146' + '\055' + chr(0b100010 + 0o26)))(xafqLlk3kkUe(XLXqkmM_0GVx, xafqLlk3kkUe(SXOLrMavuUCe(b'D\x0cO\xf6\xe8\x98\xd8@_\x12\xc3\xfa'), '\x64' + '\145' + chr(0b10 + 0o141) + '\x6f' + chr(2010 - 1910) + '\145')('\165' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b100101 + 0o23)))(), xafqLlk3kkUe(SXOLrMavuUCe(b'B5m\xc1\xc0\xde'), chr(100) + chr(101) + chr(0b110011 + 0o60) + '\x6f' + '\x64' + '\145')(chr(0b10100 + 0o141) + chr(0b1110100) + '\x66' + '\055' + chr(2959 - 2903))), **M8EIoTs2GJXE): (sGi5Aql23May, MErh319F3bgE) = aIoLC8eGyoOP[uftkTXJyNORO] DyzboKL9cczb = lrEQNOdmi5tq(sGi5Aql23May, MErh319F3bgE, **M8EIoTs2GJXE) if _zRXz3YBqHFs: (ommtvGSdVMxm,) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'B5m\xc1\xc0\xf2\x9f\x00X\t\xf9'), chr(0b1100100) + chr(101) + '\x63' + chr(8489 - 8378) + chr(100) + '\x65')(chr(0b1110101) + '\164' + '\x66' + chr(0b101101) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'H?}\xfb\xc1\xc2\x88\x11[$\xfa\xa2\x91\xd0'), '\144' + chr(0b110011 + 0o62) + chr(99) + chr(0b10000 + 0o137) + '\x64' + '\x65')(chr(117) + chr(116) + chr(0b1100110) + '\055' + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'H?}\xfb\xc1\xc2\x88\x11[$\xfa\xa2\x91\xd0'), '\x64' + '\x65' + chr(99) + chr(0b1101111) + chr(0b11011 + 0o111) + chr(0b101 + 0o140))('\x75' + chr(6926 - 6810) + chr(0b1011010 + 0o14) + '\055' + chr(0b111000))),) u5PYWbti_PJy = xafqLlk3kkUe(SXOLrMavuUCe(b'p8g'), '\x64' + '\145' + chr(3631 - 3532) + chr(11592 - 11481) + chr(0b110101 + 0o57) + chr(0b110 + 0o137))(chr(0b1100100 + 0o21) + chr(8978 - 8862) + '\146' + chr(45) + chr(0b110111 + 0o1)) if M8EIoTs2GJXE.get(xafqLlk3kkUe(SXOLrMavuUCe(b'M;}\xc7\xc4\xf2\x82\x1bE\x16'), chr(0b100100 + 0o100) + '\145' + '\143' + chr(4919 - 4808) + '\x64' + '\x65')('\x75' + chr(116) + '\146' + chr(0b101101) + chr(2134 - 2078))) else xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(3948 - 3848) + chr(0b111001 + 0o54) + chr(99) + '\x6f' + '\x64' + chr(7862 - 7761))(chr(0b1110101) + chr(4962 - 4846) + chr(102) + '\x2d' + chr(0b111000)) xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'C5h\xc0\xf3\xdd\x8d\x06V\x16\xf9\xbf\x98\xc7\xdf'), chr(0b11001 + 0o113) + '\x65' + '\x63' + '\x6f' + chr(0b1100000 + 0o4) + chr(0b1100101))(chr(160 - 43) + chr(0b1011011 + 0o31) + chr(1735 - 1633) + chr(180 - 135) + '\x38'))(ommtvGSdVMxm(xafqLlk3kkUe(SXOLrMavuUCe(b'Y=n\x81\xc8\x88\x9f'), '\x64' + '\x65' + chr(5240 - 5141) + chr(0b1100011 + 0o14) + chr(0b11010 + 0o112) + chr(6649 - 6548))('\165' + chr(2146 - 2030) + chr(102) + chr(0b1110 + 0o37) + '\070') % (uftkTXJyNORO, u5PYWbti_PJy), root=FiL2Xt3u2AMN), ctx=oM3jLo753XfX) return DyzboKL9cczb
apache/incubator-mxnet
example/profiler/profiler_ndarray.py
check_with_uniform
def check_with_uniform(uf, arg_shapes, dim=None, npuf=None, rmin=-10, type_list=[np.float32]): """check function consistency with uniform random numbers""" if isinstance(arg_shapes, int): assert dim shape = tuple(np.random.randint(1, int(1000**(1.0/dim)), size=dim)) arg_shapes = [shape] * arg_shapes for dtype in type_list: ndarray_arg = [] numpy_arg = [] for s in arg_shapes: npy = np.random.uniform(rmin, 10, s).astype(dtype) narr = mx.nd.array(npy, dtype=dtype) ndarray_arg.append(narr) numpy_arg.append(npy) out1 = uf(*ndarray_arg) if npuf is None: out2 = uf(*numpy_arg).astype(dtype) else: out2 = npuf(*numpy_arg).astype(dtype) assert out1.shape == out2.shape if isinstance(out1, mx.nd.NDArray): out1 = out1.asnumpy() if dtype == np.float16: assert reldiff(out1, out2) < 2e-3 else: assert reldiff(out1, out2) < 1e-6
python
def check_with_uniform(uf, arg_shapes, dim=None, npuf=None, rmin=-10, type_list=[np.float32]): """check function consistency with uniform random numbers""" if isinstance(arg_shapes, int): assert dim shape = tuple(np.random.randint(1, int(1000**(1.0/dim)), size=dim)) arg_shapes = [shape] * arg_shapes for dtype in type_list: ndarray_arg = [] numpy_arg = [] for s in arg_shapes: npy = np.random.uniform(rmin, 10, s).astype(dtype) narr = mx.nd.array(npy, dtype=dtype) ndarray_arg.append(narr) numpy_arg.append(npy) out1 = uf(*ndarray_arg) if npuf is None: out2 = uf(*numpy_arg).astype(dtype) else: out2 = npuf(*numpy_arg).astype(dtype) assert out1.shape == out2.shape if isinstance(out1, mx.nd.NDArray): out1 = out1.asnumpy() if dtype == np.float16: assert reldiff(out1, out2) < 2e-3 else: assert reldiff(out1, out2) < 1e-6
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check function consistency with uniform random numbers
[ "check", "function", "consistency", "with", "uniform", "random", "numbers" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/profiler/profiler_ndarray.py#L51-L77
train
check function consistency with uniform random numbers
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1989 - 1941) + '\157' + chr(50) + '\x31' + chr(1591 - 1541), 30523 - 30515), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + '\063' + chr(48) + chr(82 - 33), 0o10), ehT0Px3KOsy9(chr(839 - 791) + chr(9326 - 9215) + '\061' + chr(0b101101 + 0o10) + chr(1186 - 1138), ord("\x08")), ehT0Px3KOsy9(chr(1175 - 1127) + chr(0b1000001 + 0o56) + chr(0b10000 + 0o42) + chr(0b110110) + '\061', 0b1000), ehT0Px3KOsy9(chr(1882 - 1834) + chr(111) + chr(0b110011) + chr(49), 38632 - 38624), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(0b100000 + 0o23) + chr(0b110000 + 0o0) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(2558 - 2505) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1011 + 0o46) + chr(0b10011 + 0o36) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2298 - 2247) + '\061' + chr(412 - 362), 11948 - 11940), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(963 - 910) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(2627 - 2516) + chr(51) + '\x36' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111110 + 0o61) + chr(160 - 111) + '\063' + chr(0b110011), 24923 - 24915), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + '\x37' + chr(1918 - 1864), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + '\x37' + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(3686 - 3575) + '\x31' + '\x35' + '\067', 48322 - 48314), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2354 - 2304) + chr(49) + chr(0b110010 + 0o0), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b110011) + '\062', 0o10), ehT0Px3KOsy9(chr(943 - 895) + chr(0b1000010 + 0o55) + chr(55) + chr(54), 8), ehT0Px3KOsy9(chr(48) + chr(11865 - 11754) + chr(0b101100 + 0o7) + '\x30' + chr(0b101 + 0o56), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(0b110001) + chr(54) + '\061', 0o10), ehT0Px3KOsy9(chr(2293 - 2245) + chr(0b1100110 + 0o11) + chr(1265 - 1213) + chr(0b101011 + 0o7), 25681 - 25673), ehT0Px3KOsy9(chr(1479 - 1431) + chr(0b1101111) + '\x33' + chr(282 - 232) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10111 + 0o33) + chr(0b100101 + 0o14) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(0b110001) + '\x34' + chr(0b110100), 20570 - 20562), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b110101 + 0o72) + chr(53) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + '\063' + chr(0b110 + 0o52) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\060' + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b110011) + chr(48), 54117 - 54109), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\x35' + chr(0b0 + 0o66), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\065' + chr(48), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(2015 - 1964) + chr(48) + chr(52), 17219 - 17211), ehT0Px3KOsy9(chr(0b110000) + chr(8192 - 8081) + '\065' + chr(48), 8), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(49) + chr(826 - 777), 37632 - 37624), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b1 + 0o65), 8483 - 8475), ehT0Px3KOsy9('\060' + '\157' + chr(0b1001 + 0o52) + chr(51) + chr(693 - 638), 60488 - 60480), ehT0Px3KOsy9(chr(0b110000) + chr(0b11101 + 0o122) + chr(0b110001) + '\063' + chr(48), 8), ehT0Px3KOsy9(chr(48) + chr(9843 - 9732) + '\x31' + chr(54), 24158 - 24150), ehT0Px3KOsy9('\x30' + chr(111) + chr(1418 - 1369) + '\x37' + chr(0b100101 + 0o16), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + '\x35' + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4'), chr(0b1001011 + 0o31) + chr(9532 - 9431) + chr(99) + chr(0b101000 + 0o107) + chr(0b1001 + 0o133) + chr(0b1100101))(chr(0b110 + 0o157) + '\x74' + '\146' + chr(45) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def HLPtUK2R1sNd(SbnbJfWBCZad, XjvwovEN6dlZ, Nl_JhL3qUwSN=None, uMhO2EVfF699=None, soHKBvP7yQYx=-ehT0Px3KOsy9(chr(1979 - 1931) + chr(0b1101111) + chr(0b110001 + 0o0) + chr(436 - 386), 0o10), tIqEQIOcOYwY=[xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\xad\x07\xd0m\xf1\x9a'), chr(0b100 + 0o140) + '\x65' + chr(948 - 849) + '\157' + '\x64' + chr(0b1100101))(chr(117) + chr(4702 - 4586) + chr(1683 - 1581) + '\055' + '\070'))]): if PlSM16l2KDPD(XjvwovEN6dlZ, ehT0Px3KOsy9): assert Nl_JhL3qUwSN nauYfLglTpcb = KNyTy8rYcwji(WqUC3KWvYVup.random.FXbppO8HYrND(ehT0Px3KOsy9(chr(48) + '\157' + chr(49), ord("\x08")), ehT0Px3KOsy9(ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b1 + 0o66) + chr(0b110101) + chr(0b110000), 62638 - 62630) ** (1.0 / Nl_JhL3qUwSN)), size=Nl_JhL3qUwSN)) XjvwovEN6dlZ = [nauYfLglTpcb] * XjvwovEN6dlZ for jSV9IKnemH7K in tIqEQIOcOYwY: Q6mcHvnHDc2d = [] UUCtng8nmA5E = [] for vGrByMSYMp9h in XjvwovEN6dlZ: JxI5mZxEMHRk = WqUC3KWvYVup.random.uniform(soHKBvP7yQYx, ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + '\x31' + chr(0b110010), 8), vGrByMSYMp9h).astype(jSV9IKnemH7K) NXc7xdzvRUNd = CIVheOt0RKQX.nd.B0ePDhpqxN5n(JxI5mZxEMHRk, dtype=jSV9IKnemH7K) xafqLlk3kkUe(Q6mcHvnHDc2d, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb\xb1\x18\xd4w\xa6'), '\144' + '\x65' + chr(3723 - 3624) + chr(7129 - 7018) + chr(0b10 + 0o142) + chr(0b101101 + 0o70))('\165' + chr(0b1110100) + chr(0b1100110) + chr(1008 - 963) + chr(0b111000)))(NXc7xdzvRUNd) xafqLlk3kkUe(UUCtng8nmA5E, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb\xb1\x18\xd4w\xa6'), chr(0b101010 + 0o72) + chr(2477 - 2376) + chr(0b1011111 + 0o4) + '\157' + chr(4696 - 4596) + chr(101))(chr(0b1011011 + 0o32) + '\x74' + chr(4136 - 4034) + chr(232 - 187) + chr(56)))(JxI5mZxEMHRk) b7ZnjhJDX6tG = SbnbJfWBCZad(*Q6mcHvnHDc2d) if uMhO2EVfF699 is None: rd426WJv6sDU = SbnbJfWBCZad(*UUCtng8nmA5E).astype(jSV9IKnemH7K) else: rd426WJv6sDU = uMhO2EVfF699(*UUCtng8nmA5E).astype(jSV9IKnemH7K) assert xafqLlk3kkUe(b7ZnjhJDX6tG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xa0\x1d\xe8\x7f\x8e\xcf&\x9eh\x8c\x93'), chr(0b1000100 + 0o40) + '\x65' + chr(6051 - 5952) + '\x6f' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(56))) == xafqLlk3kkUe(rd426WJv6sDU, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xa0\x1d\xe8\x7f\x8e\xcf&\x9eh\x8c\x93'), '\144' + '\x65' + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b11000 + 0o115))(chr(0b110011 + 0o102) + '\x74' + chr(102) + '\x2d' + chr(0b101110 + 0o12))) if PlSM16l2KDPD(b7ZnjhJDX6tG, xafqLlk3kkUe(CIVheOt0RKQX.nd, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x85)\xc3k\xa3\xd1'), '\144' + chr(5710 - 5609) + chr(8641 - 8542) + '\x6f' + '\144' + chr(2848 - 2747))(chr(117) + chr(116) + chr(9902 - 9800) + chr(1009 - 964) + chr(56)))): b7ZnjhJDX6tG = b7ZnjhJDX6tG.asnumpy() if jSV9IKnemH7K == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\xad\x07\xd0m\xf3\x9e'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(0b1001000 + 0o34) + '\145')('\165' + '\x74' + chr(0b1100110) + chr(1801 - 1756) + '\070')): assert DQK5dXboBUX_(b7ZnjhJDX6tG, rd426WJv6sDU) < 0.002 else: assert DQK5dXboBUX_(b7ZnjhJDX6tG, rd426WJv6sDU) < 1e-06
apache/incubator-mxnet
example/rcnn/symimdb/imdb.py
IMDB.filter_roidb
def filter_roidb(self): """Remove images without usable rois""" num_roidb = len(self._roidb) self._roidb = [roi_rec for roi_rec in self._roidb if len(roi_rec['gt_classes'])] num_after = len(self._roidb) logger.info('filter roidb: {} -> {}'.format(num_roidb, num_after))
python
def filter_roidb(self): """Remove images without usable rois""" num_roidb = len(self._roidb) self._roidb = [roi_rec for roi_rec in self._roidb if len(roi_rec['gt_classes'])] num_after = len(self._roidb) logger.info('filter roidb: {} -> {}'.format(num_roidb, num_after))
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Remove images without usable rois
[ "Remove", "images", "without", "usable", "rois" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rcnn/symimdb/imdb.py#L76-L81
train
Remove images without usable rois
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1846) + '\064', 61016 - 61008), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(2061 - 2006) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110000 + 0o2) + '\x33', 0o10), ehT0Px3KOsy9(chr(1154 - 1106) + chr(0b101100 + 0o103) + chr(739 - 688) + '\067' + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + '\061' + '\x36' + chr(1541 - 1491), 0o10), ehT0Px3KOsy9(chr(48) + chr(1362 - 1251) + chr(0b110011) + '\067' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(2070 - 2022) + chr(0b1101111) + chr(51) + chr(48) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(1995 - 1944) + chr(842 - 788) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + chr(0b10011 + 0o37) + chr(1175 - 1122) + chr(0b11 + 0o60), 0o10), ehT0Px3KOsy9(chr(1877 - 1829) + chr(0b11100 + 0o123) + chr(0b11100 + 0o30) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(9306 - 9195) + '\x33' + '\066' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(1377 - 1322) + chr(607 - 553), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b10110 + 0o35) + chr(0b1 + 0o63), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11464 - 11353) + chr(2227 - 2177) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(49) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110100) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(347 - 299) + chr(0b1101111) + chr(1808 - 1759) + chr(0b100010 + 0o23) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1011 + 0o46) + chr(0b100000 + 0o25) + chr(0b110011), 42269 - 42261), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b100101 + 0o14) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11010 + 0o125) + chr(51) + '\x32' + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(6061 - 5950) + chr(55) + chr(52), 43053 - 43045), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11011 + 0o34) + chr(589 - 536), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + chr(54) + chr(0b0 + 0o61), 0b1000), ehT0Px3KOsy9('\x30' + chr(11272 - 11161) + '\063' + chr(2117 - 2069) + chr(0b110100), 36723 - 36715), ehT0Px3KOsy9('\060' + chr(0b11111 + 0o120) + '\x31' + chr(1165 - 1110) + chr(885 - 836), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101011 + 0o7) + '\x37' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(1378 - 1328) + chr(0b110001) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(284 - 173) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000110 + 0o51) + '\063' + '\x34' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(67 - 19) + '\x6f' + chr(50) + '\x32' + chr(51), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\064' + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(904 - 853) + '\x34', 8), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(1622 - 1573) + chr(49) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(1227 - 1178) + chr(0b110011 + 0o0) + chr(1713 - 1658), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(48) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b0 + 0o61) + chr(1097 - 1049) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\x37' + chr(0b101 + 0o56), 8), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + chr(50) + chr(390 - 341), ord("\x08")), ehT0Px3KOsy9(chr(1525 - 1477) + '\157' + '\x36' + chr(0b101 + 0o56), 0b1000), ehT0Px3KOsy9(chr(1698 - 1650) + chr(7833 - 7722) + chr(1491 - 1436) + chr(2787 - 2732), 15058 - 15050)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(11929 - 11818) + chr(0b1011 + 0o52) + '\060', 48474 - 48466)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'J'), '\144' + chr(0b1100101) + chr(0b1010010 + 0o21) + chr(2002 - 1891) + chr(0b1100100) + '\145')(chr(0b1110101) + '\x74' + chr(0b1011011 + 0o13) + '\055' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def luWdombjK9Z2(oVre8I6UXc3b): WanBZ_wUkvqH = c2A0yzQpDQB3(oVre8I6UXc3b._roidb) oVre8I6UXc3b.Ik0U17c41NIQ = [LkIPsZ6FXJNE for LkIPsZ6FXJNE in oVre8I6UXc3b.Ik0U17c41NIQ if c2A0yzQpDQB3(LkIPsZ6FXJNE[xafqLlk3kkUe(SXOLrMavuUCe(b'\x03\n\xcc\x98\x1e\x9f\xb6\x82\xceS'), chr(0b1100100) + chr(0b10 + 0o143) + '\143' + '\x6f' + chr(949 - 849) + chr(4076 - 3975))('\165' + '\x74' + '\x66' + chr(0b101101) + chr(0b1101 + 0o53))])] vSgSb8Hf1wjY = c2A0yzQpDQB3(oVre8I6UXc3b.Ik0U17c41NIQ) xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'7I\xdb\x83\x07\x9d\xa2\xc6\xc1L\xadU'), '\144' + '\x65' + '\x63' + chr(0b1101111) + chr(0b101100 + 0o70) + chr(0b0 + 0o145))('\x75' + chr(0b1110100) + '\x66' + chr(45) + chr(1531 - 1475)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\x17\xff\x8f\x17\x8c\xe5\x83\xc4I\x93\\\xe62\xf2\\MF\xb3\xf4G@'), chr(8140 - 8040) + chr(101) + '\143' + '\157' + chr(100) + chr(101))(chr(0b1001001 + 0o54) + chr(0b111100 + 0o70) + chr(0b111111 + 0o47) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'2J\xe1\x94:\x9f\x96\xc2\xfbP\x92T'), chr(100) + '\x65' + chr(6825 - 6726) + '\157' + chr(100) + chr(101))('\x75' + '\164' + chr(102) + chr(984 - 939) + '\070'))(WanBZ_wUkvqH, vSgSb8Hf1wjY))
apache/incubator-mxnet
example/rcnn/symimdb/imdb.py
IMDB.append_flipped_images
def append_flipped_images(self): """Only flip boxes coordinates, images will be flipped when loading into network""" logger.info('%s append flipped images to roidb' % self._name) roidb_flipped = [] for roi_rec in self._roidb: boxes = roi_rec['boxes'].copy() oldx1 = boxes[:, 0].copy() oldx2 = boxes[:, 2].copy() boxes[:, 0] = roi_rec['width'] - oldx2 - 1 boxes[:, 2] = roi_rec['width'] - oldx1 - 1 assert (boxes[:, 2] >= boxes[:, 0]).all() roi_rec_flipped = roi_rec.copy() roi_rec_flipped['boxes'] = boxes roi_rec_flipped['flipped'] = True roidb_flipped.append(roi_rec_flipped) self._roidb.extend(roidb_flipped)
python
def append_flipped_images(self): """Only flip boxes coordinates, images will be flipped when loading into network""" logger.info('%s append flipped images to roidb' % self._name) roidb_flipped = [] for roi_rec in self._roidb: boxes = roi_rec['boxes'].copy() oldx1 = boxes[:, 0].copy() oldx2 = boxes[:, 2].copy() boxes[:, 0] = roi_rec['width'] - oldx2 - 1 boxes[:, 2] = roi_rec['width'] - oldx1 - 1 assert (boxes[:, 2] >= boxes[:, 0]).all() roi_rec_flipped = roi_rec.copy() roi_rec_flipped['boxes'] = boxes roi_rec_flipped['flipped'] = True roidb_flipped.append(roi_rec_flipped) self._roidb.extend(roidb_flipped)
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Only flip boxes coordinates, images will be flipped when loading into network
[ "Only", "flip", "boxes", "coordinates", "images", "will", "be", "flipped", "when", "loading", "into", "network" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rcnn/symimdb/imdb.py#L83-L98
train
Only flip boxes coordinates images will be flipped when loading into network
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(50) + chr(1824 - 1772) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + '\x31' + chr(2364 - 2310) + '\060', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x36' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b100101 + 0o16) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b100101 + 0o112) + '\x31' + chr(48) + '\064', 57847 - 57839), ehT0Px3KOsy9(chr(1360 - 1312) + chr(0b1101010 + 0o5) + chr(0b110011) + chr(0b110111) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9527 - 9416) + chr(51) + chr(399 - 344) + chr(53), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(2136 - 2083) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(257 - 207) + chr(48) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010 + 0o145) + chr(1192 - 1143) + chr(49) + chr(51 - 3), 35784 - 35776), ehT0Px3KOsy9(chr(858 - 810) + chr(0b0 + 0o157) + '\063' + chr(0b110100) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + chr(0b110001) + '\063' + chr(0b11010 + 0o35), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\x34' + chr(51), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1830 - 1778) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(1221 - 1110) + '\061' + '\066' + chr(58 - 3), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b11111 + 0o27) + '\x34', 0o10), ehT0Px3KOsy9(chr(2084 - 2036) + '\157' + '\x33' + '\061' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b100101 + 0o112) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(197 - 143) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100110 + 0o11) + chr(0b100101 + 0o14) + chr(54) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10101 + 0o36) + chr(287 - 238) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6692 - 6581) + chr(0b1011 + 0o46) + '\061' + chr(0b11111 + 0o23), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(793 - 743) + chr(0b110001) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + '\x32' + chr(1796 - 1747), 0o10), ehT0Px3KOsy9(chr(213 - 165) + '\157' + chr(0b110001) + chr(1723 - 1670) + chr(1861 - 1810), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10011 + 0o40) + '\066', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b11101 + 0o122) + chr(51) + chr(0b100 + 0o61) + chr(1303 - 1254), 8), ehT0Px3KOsy9('\060' + '\157' + chr(2390 - 2341) + chr(0b110110) + chr(2030 - 1982), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001 + 0o1) + chr(50) + chr(1635 - 1584), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100110 + 0o11) + '\x31' + chr(2397 - 2345) + chr(555 - 506), 63898 - 63890), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(1805 - 1751) + '\x30', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\064' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(595 - 547) + '\157' + chr(0b10 + 0o61) + chr(0b110001) + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b110000) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(2002 - 1954) + chr(111) + chr(0b101001 + 0o10) + chr(0b110111) + '\x37', 0b1000), ehT0Px3KOsy9(chr(1703 - 1655) + chr(0b111001 + 0o66) + '\x31' + '\x31' + chr(0b110001), 64352 - 64344), ehT0Px3KOsy9(chr(48) + chr(111) + chr(933 - 883) + '\067' + chr(0b110011), 29443 - 29435), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + '\x31' + chr(399 - 346) + chr(49), 52820 - 52812), ehT0Px3KOsy9('\060' + chr(0b100 + 0o153) + chr(0b0 + 0o63) + chr(0b110100) + chr(683 - 635), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(2281 - 2228) + chr(54), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1291 - 1243) + chr(7156 - 7045) + chr(53) + '\x30', 681 - 673)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d'), '\x64' + '\145' + chr(1784 - 1685) + chr(0b101110 + 0o101) + chr(100) + chr(0b1100101))('\165' + '\x74' + chr(0b1100110) + chr(1848 - 1803) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def UIH6nwVubouF(oVre8I6UXc3b): xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0G\xbe\xe51\x9e\x9a\xde\xe9$\xbc4'), chr(0b110001 + 0o63) + chr(101) + '\x63' + '\157' + '\x64' + chr(0b1100101))(chr(117) + chr(3103 - 2987) + chr(102) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\x03\xd6\xfc4\x8d\x98\x87\xe7h\x803\xcaR\x07\x11\xae%\x9d\x1b\xa8-\xe8bKj\x86P\xe1\x0e\x19\xc2\xa8'), chr(2131 - 2031) + '\x65' + chr(1953 - 1854) + chr(111) + '\144' + '\145')(chr(117) + '\164' + '\x66' + '\x2d' + chr(56)) % xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\x1e\x97\xf0!'), chr(1175 - 1075) + chr(101) + chr(4865 - 4766) + '\x6f' + chr(100) + '\x65')('\165' + chr(0b1110100) + chr(0b1010100 + 0o22) + chr(45) + '\x38'))) fGdlkR_vbZxL = [] for LkIPsZ6FXJNE in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\x1b\xc6\xc8u\xca\x9e\xdd\xb2\x06\xaf\x0e'), chr(942 - 842) + chr(0b1011001 + 0o14) + chr(7239 - 7140) + chr(0b101010 + 0o105) + chr(100) + chr(101))(chr(6682 - 6565) + chr(116) + chr(0b1100110) + chr(45) + '\070')): mPwyLyFt1Son = LkIPsZ6FXJNE[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x1f\x8e\xf87'), chr(0b1100100) + chr(3285 - 3184) + '\x63' + chr(0b1101111) + chr(6251 - 6151) + '\x65')(chr(0b1110101) + chr(154 - 38) + chr(4820 - 4718) + '\x2d' + chr(0b11010 + 0o36))].igThHS4jwVsa() RNzIvEn6YWSb = mPwyLyFt1Son[:, ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 1196 - 1188)].igThHS4jwVsa() rSlJmI8xt_3f = mPwyLyFt1Son[:, ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(50), 0b1000)].igThHS4jwVsa() mPwyLyFt1Son[:, ehT0Px3KOsy9(chr(725 - 677) + chr(0b1101111) + '\060', 8)] = LkIPsZ6FXJNE[xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\x19\x92\xe9,'), '\144' + chr(0b1100101) + '\143' + chr(0b1101111) + '\x64' + chr(101))(chr(117) + chr(0b1110100) + chr(1477 - 1375) + chr(0b101101) + '\070')] - rSlJmI8xt_3f - ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1111 + 0o42), 0o10) mPwyLyFt1Son[:, ehT0Px3KOsy9(chr(1593 - 1545) + chr(111) + chr(0b1 + 0o61), 8)] = LkIPsZ6FXJNE[xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\x19\x92\xe9,'), chr(100) + chr(101) + chr(0b10 + 0o141) + '\x6f' + chr(0b1011011 + 0o11) + chr(0b1100101))('\165' + '\x74' + '\x66' + '\055' + chr(1137 - 1081))] - RNzIvEn6YWSb - ehT0Px3KOsy9(chr(700 - 652) + '\157' + chr(49), 8) assert xafqLlk3kkUe(mPwyLyFt1Son[:, ehT0Px3KOsy9(chr(48) + chr(111) + chr(50), 8)] >= mPwyLyFt1Son[:, ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\060', 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\x1c\xc2\xa5*\x97\xcc\x9b\xe1!\xd4l'), chr(0b111110 + 0o46) + chr(0b1000110 + 0o37) + chr(0b1010000 + 0o23) + '\x6f' + chr(0b1100100) + '\x65')('\x75' + chr(7101 - 6985) + chr(0b1100110) + chr(0b11111 + 0o16) + chr(0b100111 + 0o21)))() Egs1P8DNUk4j = LkIPsZ6FXJNE.igThHS4jwVsa() Egs1P8DNUk4j[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x1f\x8e\xf87'), chr(0b1100100) + '\145' + chr(0b10111 + 0o114) + '\x6f' + chr(0b1100100) + chr(0b1000 + 0o135))(chr(0b1000001 + 0o64) + chr(1206 - 1090) + chr(2592 - 2490) + chr(45) + '\070')] = mPwyLyFt1Son Egs1P8DNUk4j[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\x1c\x9f\xed4\x98\x99'), '\144' + '\145' + chr(0b1100011) + chr(111) + chr(0b111 + 0o135) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b10011 + 0o123) + chr(0b11101 + 0o20) + chr(0b111000))] = ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001), 8) xafqLlk3kkUe(fGdlkR_vbZxL, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\x00\x86\xf8*\x99'), chr(4558 - 4458) + chr(0b1011101 + 0o10) + chr(0b1010011 + 0o20) + chr(0b1101111) + '\x64' + chr(101))('\165' + chr(116) + chr(0b1100110) + '\055' + '\070'))(Egs1P8DNUk4j) xafqLlk3kkUe(oVre8I6UXc3b._roidb, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\x08\x82\xf8*\x99'), chr(2830 - 2730) + chr(101) + chr(0b1001011 + 0o30) + chr(9994 - 9883) + '\144' + chr(101))('\x75' + '\x74' + '\x66' + '\055' + '\070'))(fGdlkR_vbZxL)
apache/incubator-mxnet
python/mxnet/gluon/model_zoo/model_store.py
get_model_file
def get_model_file(name, root=os.path.join(base.data_dir(), 'models')): r"""Return location for the pretrained on local file system. This function will download from online model zoo when model cannot be found or has mismatch. The root directory will be created if it doesn't exist. Parameters ---------- name : str Name of the model. root : str, default $MXNET_HOME/models Location for keeping the model parameters. Returns ------- file_path Path to the requested pretrained model file. """ file_name = '{name}-{short_hash}'.format(name=name, short_hash=short_hash(name)) root = os.path.expanduser(root) file_path = os.path.join(root, file_name+'.params') sha1_hash = _model_sha1[name] if os.path.exists(file_path): if check_sha1(file_path, sha1_hash): return file_path else: logging.warning('Mismatch in the content of model file detected. Downloading again.') else: logging.info('Model file not found. Downloading to %s.', file_path) util.makedirs(root) zip_file_path = os.path.join(root, file_name+'.zip') repo_url = os.environ.get('MXNET_GLUON_REPO', apache_repo_url) if repo_url[-1] != '/': repo_url = repo_url + '/' download(_url_format.format(repo_url=repo_url, file_name=file_name), path=zip_file_path, overwrite=True) with zipfile.ZipFile(zip_file_path) as zf: zf.extractall(root) os.remove(zip_file_path) if check_sha1(file_path, sha1_hash): return file_path else: raise ValueError('Downloaded file has different hash. Please try again.')
python
def get_model_file(name, root=os.path.join(base.data_dir(), 'models')): r"""Return location for the pretrained on local file system. This function will download from online model zoo when model cannot be found or has mismatch. The root directory will be created if it doesn't exist. Parameters ---------- name : str Name of the model. root : str, default $MXNET_HOME/models Location for keeping the model parameters. Returns ------- file_path Path to the requested pretrained model file. """ file_name = '{name}-{short_hash}'.format(name=name, short_hash=short_hash(name)) root = os.path.expanduser(root) file_path = os.path.join(root, file_name+'.params') sha1_hash = _model_sha1[name] if os.path.exists(file_path): if check_sha1(file_path, sha1_hash): return file_path else: logging.warning('Mismatch in the content of model file detected. Downloading again.') else: logging.info('Model file not found. Downloading to %s.', file_path) util.makedirs(root) zip_file_path = os.path.join(root, file_name+'.zip') repo_url = os.environ.get('MXNET_GLUON_REPO', apache_repo_url) if repo_url[-1] != '/': repo_url = repo_url + '/' download(_url_format.format(repo_url=repo_url, file_name=file_name), path=zip_file_path, overwrite=True) with zipfile.ZipFile(zip_file_path) as zf: zf.extractall(root) os.remove(zip_file_path) if check_sha1(file_path, sha1_hash): return file_path else: raise ValueError('Downloaded file has different hash. Please try again.')
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r"""Return location for the pretrained on local file system. This function will download from online model zoo when model cannot be found or has mismatch. The root directory will be created if it doesn't exist. Parameters ---------- name : str Name of the model. root : str, default $MXNET_HOME/models Location for keeping the model parameters. Returns ------- file_path Path to the requested pretrained model file.
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/model_zoo/model_store.py#L73-L120
train
r Downloads the pretrained model file from online model zoo if it doesn t exist.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b1000 + 0o147) + '\063' + '\063' + chr(0b10001 + 0o44), 0b1000), ehT0Px3KOsy9('\x30' + chr(2453 - 2342) + chr(2281 - 2230) + '\x36' + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + chr(0b110110) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(9080 - 8969) + chr(0b110000 + 0o2) + chr(1800 - 1747) + '\065', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\064' + chr(680 - 625), 0o10), ehT0Px3KOsy9('\x30' + chr(11422 - 11311) + '\061' + '\x37' + chr(0b101010 + 0o12), 0o10), ehT0Px3KOsy9(chr(1652 - 1604) + chr(0b101000 + 0o107) + chr(48), 51827 - 51819), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(0b110110) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\063' + chr(421 - 372) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000011 + 0o54) + '\x32' + chr(0b110000) + chr(1241 - 1192), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10748 - 10637) + chr(0b110010) + chr(0b11 + 0o61) + chr(1593 - 1540), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10000 + 0o41) + chr(0b110111) + chr(1769 - 1715), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(460 - 410) + chr(2126 - 2075) + chr(0b11111 + 0o27), 0b1000), ehT0Px3KOsy9('\x30' + chr(429 - 318) + chr(0b110001) + '\x31' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\067' + '\x35', 18793 - 18785), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2386 - 2336) + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1001 + 0o52) + '\x33' + chr(650 - 599), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\065' + chr(0b11001 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1880 - 1769) + chr(0b110011) + chr(2162 - 2108) + chr(0b110100 + 0o3), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1050 - 1000) + chr(0b110001) + '\064', 35808 - 35800), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\060' + chr(0b11001 + 0o31), 18701 - 18693), ehT0Px3KOsy9(chr(2220 - 2172) + chr(0b101011 + 0o104) + '\x31' + chr(0b110100) + chr(1481 - 1431), 32174 - 32166), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + '\x33' + chr(0b110000) + chr(0b10000 + 0o42), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\061' + chr(705 - 657), 0o10), ehT0Px3KOsy9('\x30' + chr(3633 - 3522) + chr(1659 - 1610) + chr(979 - 927) + chr(211 - 160), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3883 - 3772) + chr(0b110011) + chr(0b110100) + chr(0b100011 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(175 - 64) + '\x32' + chr(0b110010) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1213 - 1165) + '\x6f' + chr(0b1101 + 0o46) + chr(2733 - 2680) + '\x33', 15651 - 15643), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(1274 - 1223) + chr(3004 - 2949), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100101 + 0o16) + '\x35' + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(7378 - 7267) + chr(0b100101 + 0o15) + chr(2011 - 1963) + '\x31', 8), ehT0Px3KOsy9(chr(1109 - 1061) + chr(111) + '\061' + '\060' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(797 - 748) + '\067' + chr(50), 4633 - 4625), ehT0Px3KOsy9(chr(48) + chr(3487 - 3376) + chr(0b110010) + chr(0b101100 + 0o5) + chr(1334 - 1282), 8), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1001011 + 0o44) + chr(0b0 + 0o63) + chr(55) + chr(0b0 + 0o63), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b100010 + 0o17) + chr(54) + chr(0b110 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10101 + 0o34) + chr(1095 - 1044) + chr(0b101101 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(54) + '\067', 8), ehT0Px3KOsy9(chr(1384 - 1336) + chr(7142 - 7031) + chr(0b10000 + 0o43) + '\063' + chr(0b1010 + 0o46), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(2694 - 2640), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(994 - 941) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3'), '\144' + '\x65' + chr(3293 - 3194) + chr(1621 - 1510) + chr(0b1100100) + chr(101))(chr(0b110010 + 0o103) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def ommtvGSdVMxm(AIvJRzLdDfgF, FiL2Xt3u2AMN=xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\x9cg\xf5\xdd\x08V|\xa6\xf0\xed8'), chr(0b1011110 + 0o6) + chr(0b1010100 + 0o21) + '\x63' + chr(3652 - 3541) + '\x64' + chr(101))(chr(0b111000 + 0o75) + '\x74' + chr(0b1010 + 0o134) + '\x2d' + chr(1355 - 1299)))(xafqLlk3kkUe(XLXqkmM_0GVx, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6\xa5v\xff\xe3I4\x06\xa0\xe8\xfaO'), chr(100) + '\145' + chr(0b1000110 + 0o35) + '\x6f' + chr(100) + chr(0b1010001 + 0o24))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(1613 - 1568) + '\070'))(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\x9cT\xc8\xcb\x0f'), '\144' + chr(0b1011111 + 0o6) + chr(99) + chr(111) + chr(100) + chr(7837 - 7736))('\x75' + '\164' + '\x66' + '\055' + chr(1802 - 1746)))): OK327sCYstzB = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\x9dQ\xc0\xc2\x01-I\xbb\xe9\xca\x0c\xea\x16Uv\xa8\x05\x8a'), chr(0b1100100) + chr(5410 - 5309) + '\143' + '\x6f' + chr(0b1100100) + '\145')(chr(0b1110101) + '\164' + chr(0b1100110) + '\055' + chr(56)).V4roHaS3Ppej(name=AIvJRzLdDfgF, short_hash=kEwwz2yvFWa5(AIvJRzLdDfgF)) FiL2Xt3u2AMN = oqhJDdMJfuwx.path.expanduser(FiL2Xt3u2AMN) Ti9e_bxaCVyu = oqhJDdMJfuwx.path._oWXztVNnqHF(FiL2Xt3u2AMN, OK327sCYstzB + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\x83Q\xdf\xc6\x11s'), '\x64' + chr(101) + '\143' + chr(0b1101111) + chr(0b11100 + 0o110) + chr(4263 - 4162))(chr(0b0 + 0o165) + '\164' + '\146' + '\x2d' + chr(56))) TuIZNm23CTVY = bg16oFc9YIYX[AIvJRzLdDfgF] if xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x8bY\xde\xd3\x0f'), chr(0b111011 + 0o51) + chr(5241 - 5140) + chr(0b101110 + 0o65) + '\157' + chr(0b110101 + 0o57) + chr(0b100010 + 0o103))(chr(6372 - 6255) + chr(116) + chr(102) + '\x2d' + chr(56)))(Ti9e_bxaCVyu): if uGaDTSTDc2lw(Ti9e_bxaCVyu, TuIZNm23CTVY): return Ti9e_bxaCVyu else: xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\x92B\xc3\xce\x12g'), chr(0b1001000 + 0o34) + chr(101) + chr(507 - 408) + chr(542 - 431) + chr(100) + '\145')('\x75' + chr(0b1110100) + chr(102) + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x9aC\xc0\xc6\x08cZ\xe8\xe8\xcb^\xea!X7\xb8\x02\x99\xf8\xe7\x0c\xb6\xa8\x0c\x86\xb7\x86\xb0\x88\xe4(Z\xea\x92\x1b:W\xbc{\xa9\x96S\xd9\xc2\x18.\x12\x8c\xee\xd2\x10\xf2&\\s\xb2\x03\x90\xac\xe3\x05\xa3\xe1\r\xce'), '\x64' + chr(0b1100101) + chr(99) + '\x6f' + '\144' + chr(101))(chr(9208 - 9091) + '\164' + chr(0b110100 + 0o62) + '\055' + chr(0b111000))) else: xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\xc4x\xd5\xd2\x1fg\x05\xa2\xed\xff\x15'), chr(0b100001 + 0o103) + chr(0b1100101) + chr(0b10111 + 0o114) + chr(111) + chr(0b1010100 + 0o20) + '\145')('\x75' + chr(3824 - 3708) + chr(0b1111 + 0o127) + chr(0b100011 + 0o12) + chr(0b101111 + 0o11)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x9cT\xc8\xcb\\f[\xa4\xe4\x85\x10\xf1=\x1dq\xb4\x18\x99\xe8\xacB\x86\xe7\x14\x8e\xfb\x84\xbe\x88\xe8*\x1d\xac\x8f\x18\x7fR\xab0'), chr(100) + chr(0b11111 + 0o106) + '\143' + '\x6f' + '\144' + chr(0b1100101))('\x75' + '\x74' + chr(0b1000100 + 0o42) + '\x2d' + chr(2841 - 2785)), Ti9e_bxaCVyu) xafqLlk3kkUe(eb2I7aEma6r5, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\x92[\xc8\xc3\x15rA'), '\x64' + chr(196 - 95) + chr(0b1100011) + '\157' + '\x64' + chr(0b1100101))(chr(0b1000101 + 0o60) + chr(0b1110100) + chr(102) + chr(0b100101 + 0o10) + chr(0b110101 + 0o3)))(FiL2Xt3u2AMN) LE7uyCzfdYUi = oqhJDdMJfuwx.path._oWXztVNnqHF(FiL2Xt3u2AMN, OK327sCYstzB + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\x89Y\xdd'), chr(0b1010 + 0o132) + '\x65' + chr(99) + '\157' + chr(0b1100100) + chr(0b1011010 + 0o13))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b101101) + '\070')) L8zqSTwTIBfC = oqhJDdMJfuwx.environ.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\xab~\xe8\xf3#G~\x9d\xce\xeb!\xcc\x0cmX'), chr(100) + '\x65' + '\143' + chr(0b111101 + 0o62) + chr(712 - 612) + chr(6006 - 5905))('\x75' + '\x74' + '\146' + chr(0b101101) + chr(600 - 544)), TOsFXhRTcuTH) if L8zqSTwTIBfC[-ehT0Px3KOsy9(chr(1904 - 1856) + '\x6f' + chr(0b100111 + 0o12), 20517 - 20509)] != xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2'), '\144' + '\145' + chr(99) + '\157' + chr(7942 - 7842) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(317 - 215) + '\x2d' + '\x38'): L8zqSTwTIBfC = L8zqSTwTIBfC + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2'), '\x64' + chr(9902 - 9801) + chr(0b111110 + 0o45) + chr(0b1101111) + chr(2151 - 2051) + chr(0b10000 + 0o125))(chr(4413 - 4296) + chr(4791 - 4675) + chr(0b1100110) + '\055' + '\x38') jpceyO2GCJAq(xafqLlk3kkUe(oZjngBR5XN7S, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\xc7B\xc2\xef\x1dS\x01\x98\xf1\xc0\x14'), chr(0b111010 + 0o52) + chr(0b101101 + 0o70) + chr(6819 - 6720) + chr(0b111101 + 0o62) + chr(100) + chr(101))(chr(7529 - 7412) + chr(6382 - 6266) + chr(0b10011 + 0o123) + chr(0b101101) + chr(0b111000)))(repo_url=L8zqSTwTIBfC, file_name=OK327sCYstzB), path=LE7uyCzfdYUi, overwrite=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001), 8)) with xafqLlk3kkUe(PFu838VwaBva, xafqLlk3kkUe(SXOLrMavuUCe(b'\x87\x9a@\xeb\xce\x10e'), chr(8869 - 8769) + chr(0b1100101) + '\x63' + '\157' + chr(0b1010001 + 0o23) + '\145')('\165' + '\164' + chr(102) + '\055' + chr(0b100010 + 0o26)))(LE7uyCzfdYUi) as FXY5xTl0mrZm: xafqLlk3kkUe(FXY5xTl0mrZm, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\x8bD\xdf\xc6\x1ftS\xa4\xed'), '\144' + chr(0b1100101) + '\143' + '\157' + '\x64' + '\145')(chr(1690 - 1573) + chr(116) + chr(0b1100101 + 0o1) + '\055' + '\070'))(FiL2Xt3u2AMN) xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\x96]\xc2\xd1\x19'), '\144' + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))('\165' + '\164' + '\x66' + '\x2d' + '\x38'))(LE7uyCzfdYUi) if uGaDTSTDc2lw(Ti9e_bxaCVyu, TuIZNm23CTVY): return Ti9e_bxaCVyu else: raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\x9cG\xc3\xcb\x13aV\xad\xe5\x85\x18\xf7%X7\xb3\x0c\x84\xac\xe6\x0b\xa4\xee\x06\x92\xf2\x85\xab\xcc\xe9%\t\xe4\xd5W\x0f\x1b\xbd\x7f\xae\x96\x10\xd9\xd5\x05 S\xaf\xe0\xcc\x10\xb0'), chr(0b1100100) + chr(0b1010111 + 0o16) + '\143' + chr(0b10011 + 0o134) + chr(7016 - 6916) + chr(101))(chr(4427 - 4310) + '\164' + chr(6147 - 6045) + '\x2d' + '\x38'))
apache/incubator-mxnet
python/mxnet/gluon/model_zoo/model_store.py
purge
def purge(root=os.path.join(base.data_dir(), 'models')): r"""Purge all pretrained model files in local file store. Parameters ---------- root : str, default '$MXNET_HOME/models' Location for keeping the model parameters. """ root = os.path.expanduser(root) files = os.listdir(root) for f in files: if f.endswith(".params"): os.remove(os.path.join(root, f))
python
def purge(root=os.path.join(base.data_dir(), 'models')): r"""Purge all pretrained model files in local file store. Parameters ---------- root : str, default '$MXNET_HOME/models' Location for keeping the model parameters. """ root = os.path.expanduser(root) files = os.listdir(root) for f in files: if f.endswith(".params"): os.remove(os.path.join(root, f))
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r"""Purge all pretrained model files in local file store. Parameters ---------- root : str, default '$MXNET_HOME/models' Location for keeping the model parameters.
[ "r", "Purge", "all", "pretrained", "model", "files", "in", "local", "file", "store", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/model_zoo/model_store.py#L122-L134
train
r Purges all pretrained model files in local file store.
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9935) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\x32' + '\x37', 0o10), ehT0Px3KOsy9(chr(1247 - 1199) + chr(111) + '\063' + chr(1254 - 1201) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b100111 + 0o16) + '\062', 22031 - 22023), ehT0Px3KOsy9('\060' + chr(0b111111 + 0o60) + chr(2088 - 2038) + chr(49) + '\x33', 0o10), ehT0Px3KOsy9(chr(718 - 670) + chr(0b1101111) + chr(1621 - 1570) + '\063' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(53) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\064' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\x35', 44127 - 44119), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\066' + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(48) + chr(0b10110 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8814 - 8703) + '\064' + '\065', 8), ehT0Px3KOsy9(chr(2053 - 2005) + chr(111) + '\063' + '\062' + chr(0b11000 + 0o33), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001001 + 0o46) + chr(0b110011) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(49) + '\060' + chr(55), 8), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b100010 + 0o115) + chr(0b11011 + 0o30) + chr(0b1001 + 0o55) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(617 - 562), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100100 + 0o16) + '\x35' + chr(0b101110 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\x34' + '\x33', 0b1000), ehT0Px3KOsy9(chr(298 - 250) + '\157' + '\063' + chr(0b110011) + '\x31', 10682 - 10674), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000011 + 0o54) + '\063' + chr(0b110111), 8), ehT0Px3KOsy9(chr(1458 - 1410) + '\x6f' + chr(0b110010) + '\x30' + chr(425 - 377), 0b1000), ehT0Px3KOsy9('\x30' + chr(1089 - 978) + chr(0b110011) + chr(48) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(9755 - 9644) + '\063' + '\x33' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11010 + 0o27) + '\x30', 14052 - 14044), ehT0Px3KOsy9(chr(410 - 362) + '\157' + '\065' + chr(1977 - 1924), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(1296 - 1246) + chr(53) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(54) + chr(671 - 620), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\062' + '\060' + chr(51), 3025 - 3017), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + '\063' + chr(51) + '\x36', 19805 - 19797), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\060' + chr(1793 - 1745), 0b1000), ehT0Px3KOsy9(chr(2066 - 2018) + chr(0b1101111) + chr(0b11100 + 0o25) + '\061' + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(8005 - 7894) + chr(1694 - 1645) + chr(394 - 340) + chr(0b10111 + 0o32), 12964 - 12956), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b110111 + 0o70) + '\x33' + '\x35' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\x30' + chr(1613 - 1562), 59953 - 59945), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(49) + chr(0b110000) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1745 - 1697) + chr(0b1001 + 0o146) + chr(50) + chr(0b110100) + '\x35', 21102 - 21094), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + chr(51) + chr(0b110100) + '\066', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b1101 + 0o47) + '\x37', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(474 - 421) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e'), '\x64' + chr(0b1100101) + chr(6317 - 6218) + chr(10176 - 10065) + chr(0b110000 + 0o64) + chr(101))(chr(0b1000010 + 0o63) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b11000 + 0o40)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def alhQbke7gbBA(FiL2Xt3u2AMN=xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xefi\x80\xb6\xd0\xff\x89bKl<\x01'), chr(100) + chr(0b1100101) + '\x63' + '\x6f' + chr(4645 - 4545) + chr(0b1100101))(chr(0b1011111 + 0o26) + '\x74' + chr(102) + '\055' + chr(2827 - 2771)))(xafqLlk3kkUe(XLXqkmM_0GVx, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdbP\x91\xbc\xee\xbe\xeb\x18Mt+v'), chr(0b1100100) + chr(0b11111 + 0o106) + chr(0b10100 + 0o117) + '\x6f' + chr(5610 - 5510) + '\x65')(chr(0b1101100 + 0o11) + chr(5869 - 5753) + chr(102) + chr(0b101101) + '\070'))(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xddi\xb3\x8b\xc6\xf8'), '\144' + chr(3074 - 2973) + chr(99) + chr(111) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(6741 - 6639) + chr(205 - 160) + '\070'))): FiL2Xt3u2AMN = oqhJDdMJfuwx.path.expanduser(FiL2Xt3u2AMN) uyc48vokp5OE = oqhJDdMJfuwx.listdir(FiL2Xt3u2AMN) for EGyt1xfPT1P6 in uyc48vokp5OE: if xafqLlk3kkUe(EGyt1xfPT1P6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5h\xb3\x9d\xdd\xe2\xabD'), '\144' + chr(4266 - 4165) + '\x63' + chr(0b11110 + 0o121) + '\x64' + chr(0b1100101))(chr(1565 - 1448) + chr(0b1110100) + '\146' + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9ev\xb6\x9c\xcb\xe6\xac'), chr(0b1100100) + chr(0b11001 + 0o114) + '\x63' + chr(9621 - 9510) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + '\x2d' + chr(1067 - 1011))): xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2c\xba\x81\xdc\xee'), chr(100) + '\145' + chr(2781 - 2682) + chr(0b1101111) + chr(2053 - 1953) + '\145')(chr(2125 - 2008) + chr(116) + '\146' + '\055' + chr(0b111000)))(xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xefi\x80\xb6\xd0\xff\x89bKl<\x01'), '\x64' + chr(101) + chr(0b110 + 0o135) + chr(0b11000 + 0o127) + chr(0b1100100) + chr(6844 - 6743))(chr(117) + chr(0b100000 + 0o124) + chr(0b1100110) + chr(1429 - 1384) + chr(56)))(FiL2Xt3u2AMN, EGyt1xfPT1P6))
apache/incubator-mxnet
example/ssd/dataset/mscoco.py
Coco.image_path_from_index
def image_path_from_index(self, index): """ given image index, find out full path Parameters: ---------- index: int index of a specific image Returns: ---------- full path of this image """ assert self.image_set_index is not None, "Dataset not initialized" name = self.image_set_index[index] image_file = os.path.join(self.image_dir, 'images', name) assert os.path.isfile(image_file), 'Path does not exist: {}'.format(image_file) return image_file
python
def image_path_from_index(self, index): """ given image index, find out full path Parameters: ---------- index: int index of a specific image Returns: ---------- full path of this image """ assert self.image_set_index is not None, "Dataset not initialized" name = self.image_set_index[index] image_file = os.path.join(self.image_dir, 'images', name) assert os.path.isfile(image_file), 'Path does not exist: {}'.format(image_file) return image_file
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given image index, find out full path Parameters: ---------- index: int index of a specific image Returns: ---------- full path of this image
[ "given", "image", "index", "find", "out", "full", "path" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/dataset/mscoco.py#L52-L68
train
find out full path of the image file given the 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('\x30' + chr(0b1011011 + 0o24) + chr(0b110001) + chr(0b110111) + '\x36', 52020 - 52012), ehT0Px3KOsy9('\060' + chr(2566 - 2455) + '\063' + chr(0b110 + 0o61) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2765 - 2654) + chr(1891 - 1840) + '\x34' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4395 - 4284) + chr(52) + chr(0b110000), 61667 - 61659), ehT0Px3KOsy9(chr(1847 - 1799) + chr(10811 - 10700) + '\061' + chr(0b11110 + 0o24) + chr(1667 - 1618), 0o10), ehT0Px3KOsy9('\x30' + chr(7290 - 7179) + chr(1763 - 1713) + chr(0b110110) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(5928 - 5817) + chr(0b110011) + '\x34' + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b101010 + 0o10) + chr(0b11010 + 0o32), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b0 + 0o62) + chr(2275 - 2222) + chr(0b101100 + 0o4), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\x31' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(7073 - 6962) + chr(0b110010) + chr(0b11001 + 0o27) + '\x35', 26242 - 26234), ehT0Px3KOsy9('\060' + chr(7530 - 7419) + '\063' + chr(0b11101 + 0o23) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(414 - 359) + '\x37', 8590 - 8582), ehT0Px3KOsy9(chr(332 - 284) + '\x6f' + chr(0b1110 + 0o44) + chr(51), 15351 - 15343), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\x33', 0b1000), ehT0Px3KOsy9(chr(2020 - 1972) + chr(0b110 + 0o151) + chr(0b100110 + 0o13) + chr(0b110100) + chr(0b10110 + 0o36), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\062' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1539 - 1489) + '\065' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(0b101011 + 0o10) + chr(55) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(250 - 200) + chr(48) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100111 + 0o13) + chr(0b110100), 57803 - 57795), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(1030 - 982) + chr(2299 - 2250), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100110 + 0o15) + '\x32' + chr(2459 - 2404), ord("\x08")), ehT0Px3KOsy9(chr(1966 - 1918) + chr(111) + chr(2226 - 2175) + chr(1673 - 1620) + '\062', 23186 - 23178), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + '\x33' + chr(55) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001010 + 0o45) + chr(54) + chr(1855 - 1803), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1100 + 0o45) + chr(0b110001) + chr(1935 - 1887), 31803 - 31795), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100100 + 0o21) + chr(1964 - 1914), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\062' + '\064' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(0b110010) + '\065' + chr(0b110110), 48981 - 48973), ehT0Px3KOsy9(chr(870 - 822) + chr(111) + chr(0b1010 + 0o51) + chr(0b110011) + chr(2312 - 2257), 0o10), ehT0Px3KOsy9('\060' + chr(9016 - 8905) + chr(0b110010) + chr(54), 13864 - 13856), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\062' + chr(1623 - 1573), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10011 + 0o37) + '\x33' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(4787 - 4676) + '\063' + chr(0b101010 + 0o14) + '\x34', 4365 - 4357), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1000 + 0o147) + chr(448 - 394) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101000 + 0o11) + chr(568 - 518) + chr(0b10111 + 0o36), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\x33', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10101 + 0o34) + '\x37' + chr(0b11100 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(0b100000 + 0o20), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'P'), chr(5386 - 5286) + chr(0b0 + 0o145) + '\x63' + '\157' + chr(0b1100100) + chr(0b1011111 + 0o6))(chr(117) + chr(116) + chr(102) + chr(45) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def zI9zRIe43_Vm(oVre8I6UXc3b, XdowRbJKZWL9): assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\x93\x86G4\xee\x93\xf1\xdc\x15\xec\xaf\xdbv{'), chr(0b1010011 + 0o21) + chr(101) + chr(99) + '\x6f' + chr(0b1010011 + 0o21) + '\145')(chr(117) + '\x74' + chr(0b1100110) + chr(45) + chr(1364 - 1308))) is not None, xafqLlk3kkUe(SXOLrMavuUCe(b':\x9f\x93A"\xd4\x94\xb4\xc6%\xf1\xe1\xd6}j\x10<\xc8\x96\xeen\xe4\xb3'), chr(100) + chr(0b0 + 0o145) + chr(0b10010 + 0o121) + chr(0b1000001 + 0o56) + '\144' + chr(0b1100101))(chr(13118 - 13001) + chr(116) + chr(4617 - 4515) + '\055' + chr(0b11001 + 0o37)) AIvJRzLdDfgF = oVre8I6UXc3b.image_set_index[XdowRbJKZWL9] MPt7P6Q7f4DB = oqhJDdMJfuwx.path._oWXztVNnqHF(oVre8I6UXc3b.image_dir, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\x93\x86G4\xc2'), '\144' + chr(0b1001101 + 0o30) + chr(0b1100011) + '\157' + chr(100) + chr(101))('\165' + chr(3111 - 2995) + chr(5616 - 5514) + '\055' + chr(56)), AIvJRzLdDfgF) assert xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\x8d\x81I=\xd4'), chr(9262 - 9162) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(100) + chr(0b1000001 + 0o44))(chr(117) + '\164' + chr(0b1100110) + chr(0b1111 + 0o36) + chr(0b111000)))(MPt7P6Q7f4DB), xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'.\x9f\x93Hq\xd5\x8f\xf1\xdbj\xeb\xae\xcb3f\x1c<\xda\x8e\xbd4\xfa\xaa'), '\x64' + '\x65' + chr(0b1100011) + chr(111) + chr(0b1001101 + 0o27) + chr(0b1100101))(chr(117) + chr(4845 - 4729) + chr(6982 - 6880) + chr(45) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'(\xca\x95O\x19\xd0\xb3\xa7\xf8:\xe0\xab'), '\144' + chr(4839 - 4738) + chr(0b1100011) + '\x6f' + '\x64' + chr(0b1001011 + 0o32))(chr(3167 - 3050) + '\x74' + chr(102) + '\x2d' + '\x38'))(MPt7P6Q7f4DB) return MPt7P6Q7f4DB
apache/incubator-mxnet
example/ssd/dataset/mscoco.py
Coco._load_all
def _load_all(self, anno_file, shuffle): """ initialize all entries given annotation json file Parameters: ---------- anno_file: str annotation json file shuffle: bool whether to shuffle image list """ image_set_index = [] labels = [] coco = COCO(anno_file) img_ids = coco.getImgIds() # deal with class names cats = [cat['name'] for cat in coco.loadCats(coco.getCatIds())] class_to_coco_ind = dict(zip(cats, coco.getCatIds())) class_to_ind = dict(zip(self.classes, range(len(self.classes)))) coco_ind_to_class_ind = dict([(class_to_coco_ind[cls], class_to_ind[cls]) for cls in self.classes[0:]]) for img_id in img_ids: # filename image_info = coco.loadImgs(img_id)[0] filename = image_info["file_name"] subdir = filename.split('_')[1] height = image_info["height"] width = image_info["width"] # label anno_ids = coco.getAnnIds(imgIds=img_id) annos = coco.loadAnns(anno_ids) label = [] for anno in annos: cat_id = coco_ind_to_class_ind[anno['category_id']] bbox = anno["bbox"] assert len(bbox) == 4 xmin = float(bbox[0]) / width ymin = float(bbox[1]) / height xmax = xmin + float(bbox[2]) / width ymax = ymin + float(bbox[3]) / height label.append([cat_id, xmin, ymin, xmax, ymax, 0]) if label: labels.append(np.array(label)) image_set_index.append(os.path.join(subdir, filename)) if shuffle: import random indices = list(range(len(image_set_index))) random.shuffle(indices) image_set_index = [image_set_index[i] for i in indices] labels = [labels[i] for i in indices] # store the results self.image_set_index = image_set_index self.labels = labels
python
def _load_all(self, anno_file, shuffle): """ initialize all entries given annotation json file Parameters: ---------- anno_file: str annotation json file shuffle: bool whether to shuffle image list """ image_set_index = [] labels = [] coco = COCO(anno_file) img_ids = coco.getImgIds() # deal with class names cats = [cat['name'] for cat in coco.loadCats(coco.getCatIds())] class_to_coco_ind = dict(zip(cats, coco.getCatIds())) class_to_ind = dict(zip(self.classes, range(len(self.classes)))) coco_ind_to_class_ind = dict([(class_to_coco_ind[cls], class_to_ind[cls]) for cls in self.classes[0:]]) for img_id in img_ids: # filename image_info = coco.loadImgs(img_id)[0] filename = image_info["file_name"] subdir = filename.split('_')[1] height = image_info["height"] width = image_info["width"] # label anno_ids = coco.getAnnIds(imgIds=img_id) annos = coco.loadAnns(anno_ids) label = [] for anno in annos: cat_id = coco_ind_to_class_ind[anno['category_id']] bbox = anno["bbox"] assert len(bbox) == 4 xmin = float(bbox[0]) / width ymin = float(bbox[1]) / height xmax = xmin + float(bbox[2]) / width ymax = ymin + float(bbox[3]) / height label.append([cat_id, xmin, ymin, xmax, ymax, 0]) if label: labels.append(np.array(label)) image_set_index.append(os.path.join(subdir, filename)) if shuffle: import random indices = list(range(len(image_set_index))) random.shuffle(indices) image_set_index = [image_set_index[i] for i in indices] labels = [labels[i] for i in indices] # store the results self.image_set_index = image_set_index self.labels = labels
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initialize all entries given annotation json file Parameters: ---------- anno_file: str annotation json file shuffle: bool whether to shuffle image list
[ "initialize", "all", "entries", "given", "annotation", "json", "file" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/dataset/mscoco.py#L85-L138
train
Initialize all entries given annotation json file.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\x31' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\x30' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(1233 - 1185), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11101 + 0o25) + chr(0b10001 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(1422 - 1374) + chr(0b11011 + 0o124) + '\x32' + chr(0b110100) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + chr(0b110010) + '\x35' + chr(0b1100 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1056 - 1005) + chr(0b110100) + chr(0b1101 + 0o43), 1198 - 1190), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b0 + 0o61) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + chr(0b11110 + 0o24) + chr(0b0 + 0o62) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(0b110001) + chr(48) + chr(0b101001 + 0o14), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110011) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(673 - 625) + chr(0b1101101 + 0o2) + chr(0b110011) + chr(0b110100) + chr(0b110100 + 0o3), 21580 - 21572), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b11111 + 0o120) + chr(0b11 + 0o60) + '\x30' + '\062', 0o10), ehT0Px3KOsy9(chr(2209 - 2161) + chr(111) + chr(654 - 605) + '\x30' + '\x35', 8), ehT0Px3KOsy9('\x30' + chr(0b101 + 0o152) + chr(1736 - 1686) + '\x36' + chr(0b110001 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\065' + chr(0b100101 + 0o20), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(2094 - 2043) + chr(48) + '\x34', 11929 - 11921), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011000 + 0o27) + chr(714 - 664) + chr(85 - 37) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b10000 + 0o46) + chr(51), 44028 - 44020), ehT0Px3KOsy9(chr(1129 - 1081) + chr(111) + chr(50) + chr(0b110001) + chr(0b110111), 27561 - 27553), ehT0Px3KOsy9(chr(1189 - 1141) + chr(11029 - 10918) + '\062' + chr(0b1101 + 0o45) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(5338 - 5227) + chr(50) + chr(0b0 + 0o66) + chr(498 - 447), 0o10), ehT0Px3KOsy9(chr(1404 - 1356) + chr(10816 - 10705) + '\063' + chr(0b110111) + chr(1597 - 1545), 53666 - 53658), ehT0Px3KOsy9('\060' + chr(111) + '\064' + chr(0b100111 + 0o16), 0b1000), ehT0Px3KOsy9(chr(750 - 702) + chr(111) + chr(0b10001 + 0o42) + chr(0b101110 + 0o5), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + '\x32' + chr(53) + '\x35', 41346 - 41338), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(1439 - 1391) + chr(111) + '\x32' + '\x35' + chr(54), 61124 - 61116), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(519 - 471) + chr(111) + '\x31' + chr(1227 - 1174), 15019 - 15011), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\061' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + '\063' + '\x37' + chr(0b101110 + 0o5), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(0b0 + 0o63), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8569 - 8458) + '\062' + '\060' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\062' + chr(672 - 621) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\x32' + chr(0b101 + 0o54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\067' + chr(52), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + '\x33' + chr(55) + chr(49), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(11028 - 10917) + chr(53) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0'), chr(100) + chr(101) + '\143' + chr(111) + chr(0b1000001 + 0o43) + '\x65')(chr(10632 - 10515) + chr(2899 - 2783) + chr(9704 - 9602) + chr(0b100 + 0o51) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def h1odY8hbM2mo(oVre8I6UXc3b, PDqM0PhnPTBs, iVWwODfFXHPF): UcbhpjBykbtG = [] uXMK81tmdpTM = [] i27MgnxYaBg3 = rmcEkcsrGGvh(PDqM0PhnPTBs) wFJctlLHNQCJ = i27MgnxYaBg3.getImgIds() _IZEDmb5AMbL = [re0VVGAVKu27[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xe2mw'), chr(100) + chr(0b101000 + 0o75) + chr(0b11001 + 0o112) + '\157' + '\x64' + chr(0b1100101))(chr(117) + chr(116) + chr(102) + chr(45) + chr(0b100001 + 0o27))] for re0VVGAVKu27 in i27MgnxYaBg3.loadCats(i27MgnxYaBg3.getCatIds())] tP_6cJDbnqG4 = wLqBDw8l0eIm(pZ0NK2y6HRbn(_IZEDmb5AMbL, i27MgnxYaBg3.getCatIds())) FOt3ojbqb_MC = wLqBDw8l0eIm(pZ0NK2y6HRbn(oVre8I6UXc3b.anO3bg2_hMSE, vQr8gNKaIaWE(c2A0yzQpDQB3(oVre8I6UXc3b.anO3bg2_hMSE)))) l7UdDZFkXY0P = wLqBDw8l0eIm([(tP_6cJDbnqG4[NSstowUUZlxS], FOt3ojbqb_MC[NSstowUUZlxS]) for NSstowUUZlxS in oVre8I6UXc3b.anO3bg2_hMSE[ehT0Px3KOsy9(chr(2157 - 2109) + chr(1276 - 1165) + '\x30', 8):]]) for orXFir92g8Mu in wFJctlLHNQCJ: Aye2LFJI5KQk = i27MgnxYaBg3.loadImgs(orXFir92g8Mu)[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(48), 8)] xw4DsBfIJ22E = Aye2LFJI5KQk[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xealw\xf9_\xcd\x8d\xae'), chr(100) + chr(8001 - 7900) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(7351 - 7234) + chr(116) + chr(0b1100110) + chr(428 - 383) + '\070')] LOQ33RWbsQRm = xw4DsBfIJ22E.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1'), chr(0b1111 + 0o125) + '\x65' + chr(1627 - 1528) + '\157' + chr(0b11011 + 0o111) + '\145')('\165' + chr(0b1110100) + '\146' + chr(45) + '\070'))[ehT0Px3KOsy9('\x30' + chr(6754 - 6643) + chr(49), ord("\x08"))] ehbUULKuygfC = Aye2LFJI5KQk[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xe6iu\xceE'), chr(0b1100100) + chr(0b1100011 + 0o2) + chr(2045 - 1946) + chr(0b1101111) + '\x64' + chr(0b10011 + 0o122))(chr(0b1100110 + 0o17) + '\164' + '\x66' + chr(464 - 419) + '\x38')] mPx09rBTrGXR = Aye2LFJI5KQk[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\xeadf\xce'), '\x64' + '\145' + chr(0b1000000 + 0o43) + chr(2654 - 2543) + '\x64' + chr(101))('\165' + chr(0b1110100) + chr(102) + chr(45) + '\070')] C4dXZMTifotR = i27MgnxYaBg3.getAnnIds(imgIds=orXFir92g8Mu) nsLS8Sv10Xl5 = i27MgnxYaBg3.loadAnns(C4dXZMTifotR) TRUOLFLuD08x = [] for hct7u2WUqRZB in nsLS8Sv10Xl5: _bKebqpwTuno = l7UdDZFkXY0P[hct7u2WUqRZB[xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xe2tw\xc1^\xde\x99\x94\xfd!'), '\x64' + '\x65' + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')(chr(0b10101 + 0o140) + chr(0b110110 + 0o76) + chr(102) + '\055' + '\x38')]] HdQfPnA6nf66 = hct7u2WUqRZB[xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\xe1oj'), chr(3997 - 3897) + chr(5251 - 5150) + chr(0b1100011) + chr(0b1001000 + 0o47) + chr(0b11110 + 0o106) + chr(101))(chr(117) + chr(0b1110100) + chr(0b111011 + 0o53) + '\055' + chr(56))] assert c2A0yzQpDQB3(HdQfPnA6nf66) == ehT0Px3KOsy9(chr(961 - 913) + chr(1352 - 1241) + chr(0b110000 + 0o4), 42920 - 42912) iwLDVrOPwAXT = kkSX4ccExqw4(HdQfPnA6nf66[ehT0Px3KOsy9(chr(48) + '\157' + chr(48), 8)]) / mPx09rBTrGXR boaq9Hs5GNoO = kkSX4ccExqw4(HdQfPnA6nf66[ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(49), 8)]) / ehbUULKuygfC _BorAvM1DJSA = iwLDVrOPwAXT + kkSX4ccExqw4(HdQfPnA6nf66[ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(11562 - 11451) + chr(0b110010), ord("\x08"))]) / mPx09rBTrGXR gMlDWMAO4ir9 = boaq9Hs5GNoO + kkSX4ccExqw4(HdQfPnA6nf66[ehT0Px3KOsy9('\060' + '\157' + chr(1642 - 1591), 8)]) / ehbUULKuygfC xafqLlk3kkUe(TRUOLFLuD08x, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xf3pw\xc8U'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b100111 + 0o75) + chr(101))('\165' + '\164' + chr(102) + chr(0b11111 + 0o16) + '\070'))([_bKebqpwTuno, iwLDVrOPwAXT, boaq9Hs5GNoO, _BorAvM1DJSA, gMlDWMAO4ir9, ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x30', 8)]) if TRUOLFLuD08x: xafqLlk3kkUe(uXMK81tmdpTM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xf3pw\xc8U'), '\x64' + chr(0b1100101) + chr(0b100001 + 0o102) + '\x6f' + '\x64' + '\x65')('\x75' + chr(0b1110100) + '\x66' + chr(0b101101 + 0o0) + '\x38'))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xb3eB\xe2Y\xdc\x91\xb3\xdap\xb6'), chr(8330 - 8230) + chr(101) + chr(0b1100011) + chr(11549 - 11438) + chr(100) + '\145')(chr(6116 - 5999) + chr(0b1000011 + 0o61) + chr(0b1100110) + chr(521 - 476) + '\x38'))(TRUOLFLuD08x)) xafqLlk3kkUe(UcbhpjBykbtG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xf3pw\xc8U'), '\x64' + chr(101) + '\x63' + chr(0b1011100 + 0o23) + '\144' + chr(0b1110 + 0o127))(chr(11493 - 11376) + chr(116) + chr(0b1011 + 0o133) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\xecWJ\xdcE\xfa\xae\xa5\xe5\r\x9e'), chr(0b1100100) + '\145' + '\x63' + '\x6f' + chr(0b1100100) + chr(101))(chr(0b101100 + 0o111) + '\x74' + chr(6282 - 6180) + chr(0b101011 + 0o2) + chr(0b111000)))(LOQ33RWbsQRm, xw4DsBfIJ22E)) if iVWwODfFXHPF: (drxw09AdRdci,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\xe2nv\xc9\\'), '\x64' + chr(3942 - 3841) + chr(2067 - 1968) + chr(308 - 197) + chr(0b1100100) + chr(0b111011 + 0o52))(chr(117) + chr(0b1110100) + '\146' + chr(1240 - 1195) + chr(56))),) pIcoaXENl5Pw = YyaZ4tpXu4lf(vQr8gNKaIaWE(c2A0yzQpDQB3(UcbhpjBykbtG))) xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd\xebut\xc0]\xc9'), chr(0b1100100) + chr(0b1100101) + '\143' + '\157' + chr(100) + chr(0b1000101 + 0o40))(chr(117) + chr(0b110111 + 0o75) + chr(102) + '\055' + '\x38'))(pIcoaXENl5Pw) UcbhpjBykbtG = [UcbhpjBykbtG[WVxHKyX45z_L] for WVxHKyX45z_L in pIcoaXENl5Pw] uXMK81tmdpTM = [uXMK81tmdpTM[WVxHKyX45z_L] for WVxHKyX45z_L in pIcoaXENl5Pw] oVre8I6UXc3b.UcbhpjBykbtG = UcbhpjBykbtG oVre8I6UXc3b.uXMK81tmdpTM = uXMK81tmdpTM
apache/incubator-mxnet
example/rnn/word_lm/module.py
CustomStatefulModule.init_params
def init_params(self, initializer=mx.init.Uniform(0.01), **kwargs): """Initializes the parameters and auxiliary states. """ self._module.init_params(initializer=initializer, **kwargs)
python
def init_params(self, initializer=mx.init.Uniform(0.01), **kwargs): """Initializes the parameters and auxiliary states. """ self._module.init_params(initializer=initializer, **kwargs)
[ "def", "init_params", "(", "self", ",", "initializer", "=", "mx", ".", "init", ".", "Uniform", "(", "0.01", ")", ",", "*", "*", "kwargs", ")", ":", "self", ".", "_module", ".", "init_params", "(", "initializer", "=", "initializer", ",", "*", "*", "kwargs", ")" ]
Initializes the parameters and auxiliary states.
[ "Initializes", "the", "parameters", "and", "auxiliary", "states", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rnn/word_lm/module.py#L61-L64
train
Initializes the 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('\x30' + chr(0b110001 + 0o76) + chr(0b11 + 0o56) + chr(1080 - 1025) + chr(0b0 + 0o64), 2505 - 2497), ehT0Px3KOsy9(chr(358 - 310) + '\x6f' + '\x31' + chr(0b11 + 0o63) + chr(2075 - 2025), 18336 - 18328), ehT0Px3KOsy9('\060' + '\x6f' + chr(162 - 112) + '\060' + chr(0b1 + 0o66), 44185 - 44177), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(1358 - 1308) + '\063' + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + chr(1650 - 1601) + chr(0b110001) + '\062', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(2235 - 2186) + chr(55) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(134 - 83) + '\064', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110111) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + '\062' + chr(1687 - 1632) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(11519 - 11408) + chr(0b100110 + 0o13) + chr(0b11111 + 0o30) + chr(0b1010 + 0o55), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\x31' + '\062', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(52) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7934 - 7823) + chr(51) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\064' + '\063', 0o10), ehT0Px3KOsy9(chr(1418 - 1370) + '\x6f' + '\x33' + '\x37' + chr(1950 - 1899), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010001 + 0o36) + chr(0b110100) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b110000 + 0o4) + '\x32', 58999 - 58991), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(0b1011 + 0o52) + chr(2026 - 1975), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1000 + 0o52) + chr(49), 0o10), ehT0Px3KOsy9(chr(510 - 462) + chr(111) + chr(0b11100 + 0o26) + chr(1299 - 1247) + chr(1168 - 1119), 0o10), ehT0Px3KOsy9(chr(1368 - 1320) + chr(111) + chr(0b11001 + 0o32) + chr(2664 - 2609) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(10572 - 10461) + chr(50) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(0b110011 + 0o2) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(53) + '\x35', 52795 - 52787), ehT0Px3KOsy9(chr(822 - 774) + '\x6f' + chr(0b11011 + 0o30) + chr(0b110000) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110000) + chr(0b1001 + 0o53), 44880 - 44872), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b100000 + 0o23) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(778 - 730) + '\x6f' + chr(0b101010 + 0o10) + chr(0b110011) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(11874 - 11763) + chr(105 - 56) + '\x34' + chr(0b110010), 48865 - 48857), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1711 - 1661) + chr(0b110001) + chr(0b100 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(351 - 301) + chr(53) + '\066', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(208 - 158) + chr(2019 - 1967) + chr(0b10101 + 0o36), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x34' + chr(2054 - 1999), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(411 - 300) + chr(0b0 + 0o63) + chr(49) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(2437 - 2385) + chr(0b11101 + 0o27), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b100001 + 0o116) + chr(0b110010) + chr(0b11011 + 0o25) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1606 - 1558) + chr(1175 - 1064) + chr(0b110011) + chr(0b110100) + chr(2458 - 2403), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1349 - 1295) + '\060', 0o10), ehT0Px3KOsy9(chr(1486 - 1438) + chr(0b1010100 + 0o33) + '\063' + '\x32' + chr(51), 37063 - 37055), ehT0Px3KOsy9(chr(100 - 52) + chr(0b1000011 + 0o54) + chr(0b110001 + 0o0) + chr(0b110001 + 0o3) + chr(0b100011 + 0o22), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110101) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'R'), chr(0b1100100) + '\x65' + chr(9574 - 9475) + '\157' + '\x64' + '\x65')(chr(0b1110101) + '\x74' + '\146' + chr(0b11110 + 0o17) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def oZNFuAsgrYEN(oVre8I6UXc3b, kwfuYzkY5C57=xafqLlk3kkUe(CIVheOt0RKQX.init, xafqLlk3kkUe(SXOLrMavuUCe(b')\x1c\xee\xfc%\r\xb1'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + '\144' + '\x65')(chr(117) + chr(0b1000100 + 0o60) + chr(0b1000111 + 0o37) + chr(0b1 + 0o54) + chr(0b10110 + 0o42)))(0.01), **M8EIoTs2GJXE): xafqLlk3kkUe(oVre8I6UXc3b._module, xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\x1c\xee\xee\x15\x0f\xbd\xcf\xda\x129'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\x6f' + chr(100) + chr(0b1100101))('\x75' + chr(0b1001000 + 0o54) + '\x66' + '\x2d' + '\x38'))(initializer=kwfuYzkY5C57, **M8EIoTs2GJXE)
apache/incubator-mxnet
example/rnn/word_lm/module.py
CustomStatefulModule.forward
def forward(self, data_batch, is_train=None, carry_state=True): """Forward computation. States from previous forward computation are carried to the current iteration if `carry_state` is set to `True`. """ # propagate states from the previous iteration if carry_state: if isinstance(self._next_states, (int, float)): self._module.set_states(value=self._next_states) else: self._module.set_states(states=self._next_states) self._module.forward(data_batch, is_train=is_train) outputs = self._module.get_outputs(merge_multi_context=False) self._next_states = outputs[:-1]
python
def forward(self, data_batch, is_train=None, carry_state=True): """Forward computation. States from previous forward computation are carried to the current iteration if `carry_state` is set to `True`. """ # propagate states from the previous iteration if carry_state: if isinstance(self._next_states, (int, float)): self._module.set_states(value=self._next_states) else: self._module.set_states(states=self._next_states) self._module.forward(data_batch, is_train=is_train) outputs = self._module.get_outputs(merge_multi_context=False) self._next_states = outputs[:-1]
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Forward computation. States from previous forward computation are carried to the current iteration if `carry_state` is set to `True`.
[ "Forward", "computation", ".", "States", "from", "previous", "forward", "computation", "are", "carried", "to", "the", "current", "iteration", "if", "carry_state", "is", "set", "to", "True", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rnn/word_lm/module.py#L78-L90
train
Forward computation.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(728 - 680) + '\x6f' + '\063' + chr(48) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1918 - 1807) + '\x31' + '\x37' + chr(2160 - 2110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8455 - 8344) + chr(0b110010) + '\063' + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1729 - 1680) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110101) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(946 - 896) + chr(0b1001 + 0o54) + chr(2355 - 2303), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11 + 0o56) + chr(354 - 305) + chr(0b11001 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(0b110011) + chr(0b110000) + chr(52), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11101 + 0o25) + chr(0b110101 + 0o2), 6785 - 6777), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(55) + '\x30', 3454 - 3446), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101111 + 0o3) + '\064' + chr(0b10100 + 0o34), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9825 - 9714) + chr(0b110011) + '\065' + chr(0b110001), 58824 - 58816), ehT0Px3KOsy9('\060' + chr(0b11 + 0o154) + chr(1550 - 1500) + '\067', 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(0b0 + 0o63) + chr(65 - 17) + '\063', 0b1000), ehT0Px3KOsy9(chr(265 - 217) + chr(2785 - 2674) + chr(49) + '\067' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101 + 0o152) + chr(0b110001) + chr(0b110 + 0o53) + '\066', 42293 - 42285), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b110111 + 0o70) + '\067' + chr(0b110000), 55021 - 55013), ehT0Px3KOsy9(chr(870 - 822) + chr(0b1101111) + '\062' + chr(1708 - 1658) + '\x36', 11117 - 11109), ehT0Px3KOsy9('\x30' + chr(0b100001 + 0o116) + chr(0b110001) + chr(0b101110 + 0o4), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(2267 - 2217) + '\062' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(1753 - 1701) + chr(0b100110 + 0o14), 16221 - 16213), ehT0Px3KOsy9('\x30' + chr(8878 - 8767) + '\063' + '\x35' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + '\x33' + chr(53) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b110101) + chr(755 - 706), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2572 - 2521) + chr(53) + chr(460 - 409), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\066' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(49) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1104 - 1053) + '\060' + chr(2060 - 2006), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(50) + '\x34', 24149 - 24141), ehT0Px3KOsy9(chr(603 - 555) + chr(0b1011101 + 0o22) + chr(2127 - 2077) + chr(1455 - 1402) + chr(49), 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(3449 - 3338) + '\x31' + chr(0b0 + 0o63) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + chr(50) + chr(0b110011) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b111 + 0o54) + chr(2124 - 2074) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(52) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(887 - 839) + chr(10911 - 10800) + chr(0b100111 + 0o13) + '\065' + chr(1589 - 1538), 51752 - 51744), ehT0Px3KOsy9(chr(1261 - 1213) + chr(10587 - 10476) + chr(303 - 253) + chr(54) + chr(0b10110 + 0o36), 62424 - 62416), ehT0Px3KOsy9(chr(763 - 715) + '\x6f' + chr(0b100010 + 0o17) + chr(0b11 + 0o62) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(8780 - 8669) + chr(0b101111 + 0o2) + '\x32' + chr(0b100111 + 0o12), 34538 - 34530)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(293 - 245) + chr(0b1101111) + chr(304 - 251) + chr(0b11000 + 0o30), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xea'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + chr(0b1001110 + 0o27))(chr(0b1110101) + '\164' + '\146' + chr(0b11011 + 0o22) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def GbbcCHUNFMj5(oVre8I6UXc3b, idr841wg0ysW, axnxdawmCuz_=None, DPUhLGzCH4JY=ehT0Px3KOsy9('\060' + chr(10386 - 10275) + chr(0b1001 + 0o50), 0o10)): if DPUhLGzCH4JY: if PlSM16l2KDPD(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x14\xffs\x18\xf3?\xb0v\x8c\xc5l'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + '\144' + chr(8067 - 7966))(chr(117) + chr(116) + chr(0b10 + 0o144) + chr(1144 - 1099) + '\x38')), (ehT0Px3KOsy9, kkSX4ccExqw4)): xafqLlk3kkUe(oVre8I6UXc3b._module, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\x1f\xeeT\x1f\xd8-\xb0r\x8b'), '\x64' + chr(101) + chr(4056 - 3957) + chr(0b1010101 + 0o32) + '\x64' + '\145')('\165' + chr(0b1 + 0o163) + chr(102) + '\055' + chr(0b1100 + 0o54)))(value=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x14\xffs\x18\xf3?\xb0v\x8c\xc5l'), '\x64' + chr(0b1100101) + '\143' + '\x6f' + chr(1062 - 962) + '\145')('\x75' + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(241 - 185)))) else: xafqLlk3kkUe(oVre8I6UXc3b._module, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\x1f\xeeT\x1f\xd8-\xb0r\x8b'), '\144' + chr(101) + chr(99) + chr(0b111011 + 0o64) + chr(0b1100100) + chr(101))(chr(0b110011 + 0o102) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b11101 + 0o33)))(states=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x14\xffs\x18\xf3?\xb0v\x8c\xc5l'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b1011100 + 0o11))('\x75' + '\x74' + '\146' + chr(45) + chr(0b10001 + 0o47)))) xafqLlk3kkUe(oVre8I6UXc3b._module, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x18\xf8h/\xe4\x19\x8aQ\xb5\xca*'), chr(100) + chr(10186 - 10085) + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\145')(chr(117) + chr(116) + chr(0b1100110) + '\055' + chr(0b1001 + 0o57)))(idr841wg0ysW, is_train=axnxdawmCuz_) Dx_DllZ8uCko = oVre8I6UXc3b._module.get_outputs(merge_multi_context=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x30', ord("\x08"))) oVre8I6UXc3b.y0mHjjd5pHFq = Dx_DllZ8uCko[:-ehT0Px3KOsy9(chr(335 - 287) + chr(111) + chr(49), 8)]
apache/incubator-mxnet
example/rnn/word_lm/module.py
CustomStatefulModule.update
def update(self, max_norm=None): """Updates parameters according to the installed optimizer and the gradients computed in the previous forward-backward batch. Gradients are clipped by their global norm if `max_norm` is set. Parameters ---------- max_norm: float, optional If set, clip values of all gradients the ratio of the sum of their norms. """ if max_norm is not None: self._clip_by_global_norm(max_norm) self._module.update()
python
def update(self, max_norm=None): """Updates parameters according to the installed optimizer and the gradients computed in the previous forward-backward batch. Gradients are clipped by their global norm if `max_norm` is set. Parameters ---------- max_norm: float, optional If set, clip values of all gradients the ratio of the sum of their norms. """ if max_norm is not None: self._clip_by_global_norm(max_norm) self._module.update()
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Updates parameters according to the installed optimizer and the gradients computed in the previous forward-backward batch. Gradients are clipped by their global norm if `max_norm` is set. Parameters ---------- max_norm: float, optional If set, clip values of all gradients the ratio of the sum of their norms.
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rnn/word_lm/module.py#L92-L104
train
Updates the parameters according to the installed optimizer and the gradients computed in the previous forward - backward batch.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b111 + 0o150) + '\061' + chr(878 - 830) + chr(1140 - 1089), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\066' + chr(0b0 + 0o67), 0o10), ehT0Px3KOsy9(chr(855 - 807) + '\x6f' + '\x32' + '\060' + chr(148 - 93), 35714 - 35706), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b101000 + 0o16) + chr(2262 - 2212), 33952 - 33944), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(1653 - 1601) + chr(48), 8521 - 8513), ehT0Px3KOsy9('\x30' + chr(11699 - 11588) + chr(1613 - 1564) + chr(2339 - 2284) + chr(51), 55355 - 55347), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + '\x31' + chr(0b1001 + 0o51) + '\x33', 47389 - 47381), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\x36' + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1064 - 1015) + chr(0b110101) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000101 + 0o52) + chr(49) + '\x35' + chr(50), 47810 - 47802), ehT0Px3KOsy9(chr(0b110000) + chr(1699 - 1588) + chr(50) + chr(0b11111 + 0o30), 52176 - 52168), ehT0Px3KOsy9('\060' + chr(12007 - 11896) + chr(665 - 616) + chr(2018 - 1968) + chr(2625 - 2573), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001011 + 0o44) + chr(0b100 + 0o56) + chr(0b0 + 0o63) + chr(0b10010 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100111 + 0o13) + '\x37' + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\060' + chr(894 - 839), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\067' + chr(812 - 763), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(49) + chr(1363 - 1313), 9789 - 9781), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(507 - 456) + chr(0b110011) + chr(52), 55865 - 55857), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(0b1100 + 0o47) + chr(0b110110) + chr(2412 - 2357), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1100 + 0o143) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(2048 - 2000) + chr(0b1101111) + chr(0b100111 + 0o12) + chr(55) + chr(757 - 703), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b100100 + 0o14), 15920 - 15912), ehT0Px3KOsy9('\060' + chr(8411 - 8300) + '\061' + '\066' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1833 - 1785) + chr(0b1101111) + chr(714 - 659) + chr(0b11111 + 0o30), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + chr(592 - 542) + chr(2098 - 2045), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(55) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1500 - 1451) + chr(120 - 70), 64611 - 64603), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010011 + 0o34) + '\x31' + chr(381 - 330) + chr(50), 53379 - 53371), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(5002 - 4891) + chr(0b100100 + 0o16) + chr(53) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1335 - 1287) + '\157' + chr(0b100011 + 0o17) + chr(0b110001) + '\x34', 0b1000), ehT0Px3KOsy9(chr(1388 - 1340) + chr(3226 - 3115) + chr(0b100001 + 0o20) + chr(0b110110) + '\061', 46456 - 46448), ehT0Px3KOsy9('\060' + chr(0b1010111 + 0o30) + chr(0b110001) + '\065' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(358 - 310) + '\x6f' + '\x33' + '\066' + chr(0b110111), 8), ehT0Px3KOsy9(chr(1073 - 1025) + chr(0b1101111) + '\061' + '\x30' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b11000 + 0o127) + '\061' + chr(52) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1010 + 0o50) + '\064' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b101110 + 0o4) + chr(0b100 + 0o56), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(5533 - 5422) + '\x35' + chr(404 - 356), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'm'), '\144' + chr(0b1100101) + '\143' + chr(1357 - 1246) + chr(0b1 + 0o143) + chr(101))('\x75' + chr(0b1110100) + chr(9087 - 8985) + '\x2d' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def ZtAEiNJny4e0(oVre8I6UXc3b, LB9bc9dHt6aX=None): if LB9bc9dHt6aX is not None: xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1cT\xeb\x9b\xd0$1\xc91\r{;\xfd\xd8\xabf\xa4\xb3\x85{'), chr(100) + chr(0b1100101) + chr(99) + '\157' + chr(100) + '\145')(chr(8042 - 7925) + chr(0b1000010 + 0o62) + '\x66' + chr(45) + chr(0b111000)))(LB9bc9dHt6aX) xafqLlk3kkUe(oVre8I6UXc3b._module, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19C\xc6\xb7\xc95\x19\xde\x17^rd'), '\144' + '\x65' + chr(0b10101 + 0o116) + '\157' + chr(9535 - 9435) + chr(0b111010 + 0o53))('\165' + chr(12757 - 12641) + chr(0b1100110) + '\055' + '\x38'))()
apache/incubator-mxnet
example/rnn/word_lm/module.py
CustomStatefulModule._clip_by_global_norm
def _clip_by_global_norm(self, max_norm): """Clips gradient norm. The norm is computed over all gradients together, as if they were concatenated into a single vector. Gradients are modified in-place. The method is first used in `[ICML2013] On the difficulty of training recurrent neural networks` Parameters ---------- max_norm : float or int The maximum clipping threshold of the gradient norm. Returns ------- norm_val : float The computed norm of the gradients. """ assert self._module.binded and self._module.params_initialized \ and self._module.optimizer_initialized grad_array = [] for grad in self._module._exec_group.grad_arrays: grad_array += grad return mx.gluon.utils.clip_global_norm(grad_array, max_norm)
python
def _clip_by_global_norm(self, max_norm): """Clips gradient norm. The norm is computed over all gradients together, as if they were concatenated into a single vector. Gradients are modified in-place. The method is first used in `[ICML2013] On the difficulty of training recurrent neural networks` Parameters ---------- max_norm : float or int The maximum clipping threshold of the gradient norm. Returns ------- norm_val : float The computed norm of the gradients. """ assert self._module.binded and self._module.params_initialized \ and self._module.optimizer_initialized grad_array = [] for grad in self._module._exec_group.grad_arrays: grad_array += grad return mx.gluon.utils.clip_global_norm(grad_array, max_norm)
[ "def", "_clip_by_global_norm", "(", "self", ",", "max_norm", ")", ":", "assert", "self", ".", "_module", ".", "binded", "and", "self", ".", "_module", ".", "params_initialized", "and", "self", ".", "_module", ".", "optimizer_initialized", "grad_array", "=", "[", "]", "for", "grad", "in", "self", ".", "_module", ".", "_exec_group", ".", "grad_arrays", ":", "grad_array", "+=", "grad", "return", "mx", ".", "gluon", ".", "utils", ".", "clip_global_norm", "(", "grad_array", ",", "max_norm", ")" ]
Clips gradient norm. The norm is computed over all gradients together, as if they were concatenated into a single vector. Gradients are modified in-place. The method is first used in `[ICML2013] On the difficulty of training recurrent neural networks` Parameters ---------- max_norm : float or int The maximum clipping threshold of the gradient norm. Returns ------- norm_val : float The computed norm of the gradients.
[ "Clips", "gradient", "norm", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/rnn/word_lm/module.py#L106-L129
train
Clips gradient norm by max_norm.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(1336 - 1288) + chr(111) + '\x32' + chr(0b110100) + chr(1923 - 1870), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\066' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(50) + chr(50) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(0b110001) + '\061' + chr(763 - 710), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b110000) + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(219 - 170) + chr(0b110110) + '\062', 0o10), ehT0Px3KOsy9(chr(2147 - 2099) + chr(111) + chr(0b101110 + 0o5) + '\060' + '\063', 65081 - 65073), ehT0Px3KOsy9('\x30' + chr(9824 - 9713) + chr(1407 - 1357) + chr(1530 - 1476) + chr(52), 56613 - 56605), ehT0Px3KOsy9('\060' + '\157' + chr(0b1001 + 0o51) + chr(0b1 + 0o63) + '\065', 8), ehT0Px3KOsy9(chr(819 - 771) + '\157' + '\066' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + '\063' + '\x32' + chr(48), 49227 - 49219), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(2145 - 2097) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1243 - 1195) + chr(0b111100 + 0o63) + '\x32' + chr(0b11 + 0o60) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1010100 + 0o33) + chr(1799 - 1748) + chr(51) + chr(737 - 687), 53052 - 53044), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\065' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1328 - 1279) + chr(0b11010 + 0o27) + chr(53), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(723 - 673) + chr(959 - 904), 0b1000), ehT0Px3KOsy9(chr(937 - 889) + '\157' + chr(0b1110 + 0o45) + chr(0b110000) + '\060', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110011 + 0o0) + chr(241 - 192), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8795 - 8684) + chr(0b10101 + 0o34) + chr(0b110011) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b111 + 0o52), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + '\x33' + '\x32' + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10010 + 0o40) + '\063' + '\061', 0o10), ehT0Px3KOsy9(chr(1957 - 1909) + chr(3991 - 3880) + chr(0b10011 + 0o36) + '\066' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2717 - 2606) + chr(50) + chr(0b110111) + chr(851 - 798), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b1101 + 0o45) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1010 + 0o52) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(51) + '\063' + chr(49), 8), ehT0Px3KOsy9('\x30' + chr(4433 - 4322) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b1101 + 0o47) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(2203 - 2155) + chr(0b1101100 + 0o3) + chr(0b110011) + chr(528 - 480) + chr(236 - 187), 61250 - 61242), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(7783 - 7672) + '\061' + chr(633 - 580) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + '\062' + chr(0b100010 + 0o16) + chr(55), 6410 - 6402), ehT0Px3KOsy9(chr(1782 - 1734) + '\x6f' + chr(0b110001) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2225 - 2175) + chr(0b101100 + 0o13) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2419 - 2369) + '\064' + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1778 - 1667) + chr(49) + chr(0b110010) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1568 - 1457) + '\063' + chr(843 - 795) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\063' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(140 - 92) + '\157' + '\062' + chr(0b111 + 0o54) + chr(0b101010 + 0o13), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x35' + chr(0b11000 + 0o30), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b'), chr(8576 - 8476) + chr(0b10000 + 0o125) + '\143' + chr(111) + chr(3599 - 3499) + '\x65')(chr(0b110010 + 0o103) + chr(0b1110100) + '\146' + '\x2d' + chr(2496 - 2440)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def TOQFwTQXLihl(oVre8I6UXc3b, LB9bc9dHt6aX): assert xafqLlk3kkUe(oVre8I6UXc3b._module, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3b\xc7<\x0b\x04\xf6\xf7\xe8\x04\x87\xb5'), '\144' + chr(101) + chr(5331 - 5232) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(117) + '\164' + '\146' + chr(0b101101) + '\x38')) and xafqLlk3kkUe(oVre8I6UXc3b._module, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\x0f\xee77#\x8b\xf1\x91z\xaa\xa8'), chr(0b1100100) + '\145' + chr(4459 - 4360) + '\157' + '\144' + chr(871 - 770))(chr(0b1001011 + 0o52) + '\x74' + '\146' + chr(1522 - 1477) + chr(2177 - 2121))) and xafqLlk3kkUe(oVre8I6UXc3b._module, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6C\xe2{\x05K\x81\x81\xed\x02\xe9\xa8'), chr(0b111100 + 0o50) + '\x65' + chr(1709 - 1610) + chr(111) + chr(8328 - 8228) + chr(0b1100 + 0o131))(chr(0b1110101) + chr(0b10111 + 0o135) + chr(0b1010111 + 0o17) + '\x2d' + '\x38')) jf8gIxl9PxBj = [] for RF_2NucJiY7o in xafqLlk3kkUe(oVre8I6UXc3b._module._exec_group, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfaQ\xf2\x03.\x02\x86\xdf\xe0\x07\x85\x83'), chr(0b1100100) + chr(0b1010101 + 0o20) + '\x63' + '\x6f' + chr(0b1100011 + 0o1) + chr(1558 - 1457))(chr(117) + chr(116) + chr(102) + chr(139 - 94) + '\070')): jf8gIxl9PxBj += RF_2NucJiY7o return xafqLlk3kkUe(CIVheOt0RKQX.gluon.utils, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6[\xfd=\x18\x15\xaf\xdb\xc7T\xbc\x9a\xf4\xb5\x1e '), chr(0b1100100) + '\x65' + chr(0b100101 + 0o76) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1110001 + 0o4) + '\x74' + chr(0b1100110) + chr(1687 - 1642) + chr(0b111000)))(jf8gIxl9PxBj, LB9bc9dHt6aX)
apache/incubator-mxnet
example/gluon/dc_gan/dcgan.py
visual
def visual(title, X, name): """Image visualization and preservation :param title: title :param X: images to visualized :param name: saved picture`s name :return: """ assert len(X.shape) == 4 X = X.transpose((0, 2, 3, 1)) X = np.clip((X - np.min(X))*(255.0/(np.max(X) - np.min(X))), 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]) buff = buff[:, :, ::-1] plt.imshow(buff) plt.title(title) plt.savefig(name)
python
def visual(title, X, name): """Image visualization and preservation :param title: title :param X: images to visualized :param name: saved picture`s name :return: """ assert len(X.shape) == 4 X = X.transpose((0, 2, 3, 1)) X = np.clip((X - np.min(X))*(255.0/(np.max(X) - np.min(X))), 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]) buff = buff[:, :, ::-1] plt.imshow(buff) plt.title(title) plt.savefig(name)
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Image visualization and preservation :param title: title :param X: images to visualized :param name: saved picture`s name :return:
[ "Image", "visualization", "and", "preservation", ":", "param", "title", ":", "title", ":", "param", "X", ":", "images", "to", "visualized", ":", "param", "name", ":", "saved", "picture", "s", "name", ":", "return", ":" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/dc_gan/dcgan.py#L52-L69
train
Image visualization and preservation
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(3884 - 3773) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(12055 - 11944) + chr(0b10100 + 0o42) + chr(0b110100), 39822 - 39814), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b110000) + chr(0b100 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b111110 + 0o61) + '\061' + '\061' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(0b11010 + 0o31) + chr(0b110001) + chr(48), 32983 - 32975), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + chr(1380 - 1330) + chr(51) + '\061', 49458 - 49450), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b11001 + 0o34) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(370 - 322) + '\x6f' + chr(419 - 364) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110011) + chr(2704 - 2650), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + chr(0b110011) + chr(0b10 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b10010 + 0o135) + chr(0b110001) + '\067' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1011 + 0o47) + '\063' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\063' + chr(0b11111 + 0o21), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(1928 - 1878) + chr(0b110111) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(52) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101100 + 0o103) + chr(1675 - 1625) + chr(1093 - 1038), 38333 - 38325), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b11001 + 0o126) + '\063' + chr(49) + chr(2105 - 2051), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b101000 + 0o13) + chr(0b11100 + 0o25), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1101 + 0o44) + chr(0b100110 + 0o15) + chr(234 - 179), 20159 - 20151), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(2472 - 2361) + chr(0b101101 + 0o4) + chr(0b101001 + 0o14) + chr(1372 - 1321), 53491 - 53483), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b100 + 0o55) + chr(2523 - 2470), 0b1000), ehT0Px3KOsy9(chr(415 - 367) + chr(111) + chr(2185 - 2133) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(48) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(411 - 361) + chr(0b11001 + 0o34) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(924 - 876) + chr(0b1101111) + '\062' + chr(0b100011 + 0o20) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x35' + chr(0b11011 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1969 - 1918) + chr(55), 53014 - 53006), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(0b110001) + chr(729 - 678) + chr(55), 8), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + chr(50) + chr(55) + '\061', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(6832 - 6721) + '\x31' + chr(0b110101) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1127 - 1079) + chr(0b1100010 + 0o15) + '\066' + chr(0b10111 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(50) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\x32' + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(8104 - 7993) + chr(49) + chr(1551 - 1503) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100111 + 0o12) + '\062' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(0b110011) + '\x37', 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110001 + 0o1) + chr(53), 8), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(0b110010) + '\x31' + chr(51), 61772 - 61764), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110000) + chr(0b110011), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + chr(2282 - 2234), 46153 - 46145)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b','), chr(0b1100100) + chr(0b110001 + 0o64) + '\143' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b1000011 + 0o62) + '\164' + '\x66' + chr(1738 - 1693) + chr(404 - 348)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def DF3PlOL9iqUW(IkttdaI0bGlA, xEgrFJ0REugl, AIvJRzLdDfgF): assert c2A0yzQpDQB3(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'lU5\x10\xae\xd5\x88V\x8ak\x19\xfc'), chr(0b1100100) + chr(0b1001 + 0o134) + chr(0b1100011) + chr(10727 - 10616) + chr(100) + chr(101))('\165' + '\164' + chr(102) + '\055' + '\x38'))) == ehT0Px3KOsy9('\x30' + chr(111) + chr(0b0 + 0o64), 0o10) xEgrFJ0REugl = xEgrFJ0REugl.transpose((ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + chr(2287 - 2239), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10 + 0o155) + '\062', 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(1301 - 1190) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 42945 - 42937))) xEgrFJ0REugl = WqUC3KWvYVup.clip((xEgrFJ0REugl - WqUC3KWvYVup.min(xEgrFJ0REugl)) * (255.0 / (WqUC3KWvYVup.max(xEgrFJ0REugl) - WqUC3KWvYVup.min(xEgrFJ0REugl))), ehT0Px3KOsy9(chr(619 - 571) + chr(0b1101111) + chr(48), 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111 + 0o0) + chr(1373 - 1322) + chr(55) + chr(868 - 813), 0o10)).astype(WqUC3KWvYVup.uint8) m1NkCryOw9Bx = WqUC3KWvYVup.ceil(WqUC3KWvYVup.sqrt(xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b111000 + 0o67) + '\060', 8)])) c0oC7XMBxwn9 = WqUC3KWvYVup.zeros((ehT0Px3KOsy9(m1NkCryOw9Bx * xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(6826 - 6715) + chr(0b10011 + 0o36), 8)]), ehT0Px3KOsy9(m1NkCryOw9Bx * xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(1617 - 1569) + chr(0b110 + 0o151) + chr(0b110010), 8)]), ehT0Px3KOsy9(xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9('\060' + '\157' + chr(0b110011), 8)])), dtype=WqUC3KWvYVup.uint8) for (WVxHKyX45z_L, s63jeLEbd8fs) in YlkZvXL8qwsX(xEgrFJ0REugl): L6W4EWr9KdT1(c0oC7XMBxwn9, WVxHKyX45z_L, s63jeLEbd8fs, xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'lU5\x10\xae\xd5\x88V\x8ak\x19\xfc'), '\x64' + chr(0b101101 + 0o70) + chr(0b1010001 + 0o22) + '\x6f' + chr(0b10001 + 0o123) + chr(101))(chr(117) + chr(116) + chr(102) + chr(0b10 + 0o53) + chr(0b110110 + 0o2)))[ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + '\061', 8):ehT0Px3KOsy9(chr(48) + '\157' + chr(1162 - 1111), 8)]) c0oC7XMBxwn9 = c0oC7XMBxwn9[:, :, ::-ehT0Px3KOsy9('\060' + chr(9751 - 9640) + '\x31', 8)] xafqLlk3kkUe(eRubm8FH879n, xafqLlk3kkUe(SXOLrMavuUCe(b'kY3!\xa7\xee'), chr(0b1100100) + chr(0b1001101 + 0o30) + chr(99) + '\157' + chr(7254 - 7154) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(45) + chr(56)))(c0oC7XMBxwn9) xafqLlk3kkUe(eRubm8FH879n, xafqLlk3kkUe(SXOLrMavuUCe(b'v]4%\xad'), chr(0b1100100) + '\x65' + chr(0b111110 + 0o45) + chr(111) + '\x64' + chr(101))('\165' + chr(0b11111 + 0o125) + chr(0b1011000 + 0o16) + chr(45) + chr(0b101000 + 0o20)))(IkttdaI0bGlA) xafqLlk3kkUe(eRubm8FH879n, xafqLlk3kkUe(SXOLrMavuUCe(b'qU6,\xae\xf0\x88'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1001111 + 0o25) + chr(0b1100101))('\x75' + '\x74' + chr(1591 - 1489) + chr(0b101101 + 0o0) + chr(0b111000)))(AIvJRzLdDfgF)
apache/incubator-mxnet
example/gluon/dc_gan/dcgan.py
transformer
def transformer(data, label): """Get the translation of images""" # resize to 64x64 data = mx.image.imresize(data, 64, 64) # transpose from (64, 64, 3) to (3, 64, 64) data = mx.nd.transpose(data, (2, 0, 1)) # normalize to [-1, 1] data = data.astype(np.float32)/128 - 1 # if image is greyscale, repeat 3 times to get RGB image. if data.shape[0] == 1: data = mx.nd.tile(data, (3, 1, 1)) return data, label
python
def transformer(data, label): """Get the translation of images""" # resize to 64x64 data = mx.image.imresize(data, 64, 64) # transpose from (64, 64, 3) to (3, 64, 64) data = mx.nd.transpose(data, (2, 0, 1)) # normalize to [-1, 1] data = data.astype(np.float32)/128 - 1 # if image is greyscale, repeat 3 times to get RGB image. if data.shape[0] == 1: data = mx.nd.tile(data, (3, 1, 1)) return data, label
[ "def", "transformer", "(", "data", ",", "label", ")", ":", "# resize to 64x64", "data", "=", "mx", ".", "image", ".", "imresize", "(", "data", ",", "64", ",", "64", ")", "# transpose from (64, 64, 3) to (3, 64, 64)", "data", "=", "mx", ".", "nd", ".", "transpose", "(", "data", ",", "(", "2", ",", "0", ",", "1", ")", ")", "# normalize to [-1, 1]", "data", "=", "data", ".", "astype", "(", "np", ".", "float32", ")", "/", "128", "-", "1", "# if image is greyscale, repeat 3 times to get RGB image.", "if", "data", ".", "shape", "[", "0", "]", "==", "1", ":", "data", "=", "mx", ".", "nd", ".", "tile", "(", "data", ",", "(", "3", ",", "1", ",", "1", ")", ")", "return", "data", ",", "label" ]
Get the translation of images
[ "Get", "the", "translation", "of", "images" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/dc_gan/dcgan.py#L117-L128
train
Get the translation of 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('\060' + chr(0b1101100 + 0o3) + '\x31' + '\x36' + chr(2201 - 2147), 19505 - 19497), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(9922 - 9811) + chr(0b110001) + chr(51) + chr(0b10110 + 0o33), 0b1000), ehT0Px3KOsy9(chr(855 - 807) + '\157' + '\063' + '\060', 1895 - 1887), ehT0Px3KOsy9(chr(48) + chr(8017 - 7906) + '\063' + chr(973 - 918) + chr(0b110111), 6001 - 5993), ehT0Px3KOsy9('\x30' + chr(3404 - 3293) + '\063' + chr(53) + chr(0b110101 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(0b110011) + chr(50) + chr(676 - 625), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1111 + 0o140) + chr(319 - 270) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(696 - 645) + chr(0b100010 + 0o21) + chr(1408 - 1355), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\x30' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1110 + 0o44) + chr(299 - 246) + chr(0b1100 + 0o45), 46847 - 46839), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\x33' + '\065', 12936 - 12928), ehT0Px3KOsy9('\x30' + chr(8162 - 8051) + '\063' + chr(0b100010 + 0o24) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010001 + 0o36) + '\x31' + chr(0b110000) + chr(1600 - 1547), 0b1000), ehT0Px3KOsy9(chr(2294 - 2246) + chr(111) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101001 + 0o6) + '\x37' + '\x34', 18404 - 18396), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101000 + 0o13) + chr(48) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011 + 0o144) + chr(0b110011) + '\064' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(2641 - 2588) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\063' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + chr(49) + chr(0b110011) + chr(0b11011 + 0o30), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(5282 - 5171) + chr(49) + chr(148 - 99) + chr(0b101010 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4922 - 4811) + chr(0b110001) + chr(0b110001) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\062' + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(1201 - 1146) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101011 + 0o6) + chr(53), 7620 - 7612), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100 + 0o56) + chr(1115 - 1062) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12204 - 12093) + chr(0b10111 + 0o34) + chr(51), 1738 - 1730), ehT0Px3KOsy9(chr(0b110000) + chr(3592 - 3481) + chr(53) + chr(0b11011 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6132 - 6021) + chr(0b110001) + chr(0b110111) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + '\x33' + '\064' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b1011 + 0o47) + chr(48), 19902 - 19894), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b110010) + chr(497 - 447), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b100010 + 0o21) + chr(468 - 417), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7992 - 7881) + chr(50) + chr(2734 - 2680) + '\060', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b110000) + chr(0b110101 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2245 - 2194) + chr(2472 - 2419) + '\063', 45101 - 45093), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\063' + chr(1363 - 1315), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b11100 + 0o123) + chr(0b110010) + chr(890 - 839) + '\063', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\065' + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(1102 - 1054) + chr(0b110100), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + '\x35' + chr(0b110000), 64560 - 64552)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'X'), chr(0b1000010 + 0o42) + chr(0b1100101) + chr(0b101000 + 0o73) + chr(111) + chr(100) + chr(578 - 477))(chr(117) + '\x74' + chr(4538 - 4436) + chr(0b101101) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Nk9m9eKr4iuF(ULnjp6D6efFH, TRUOLFLuD08x): ULnjp6D6efFH = CIVheOt0RKQX.image.imresize(ULnjp6D6efFH, ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + '\061' + '\060' + chr(48), 14613 - 14605), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x30' + chr(630 - 582), 8)) ULnjp6D6efFH = CIVheOt0RKQX.nd.transpose(ULnjp6D6efFH, (ehT0Px3KOsy9(chr(48) + chr(0b1010000 + 0o37) + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10006 - 9895) + '\x31', 0o10))) ULnjp6D6efFH = ULnjp6D6efFH.astype(WqUC3KWvYVup.float32) / ehT0Px3KOsy9(chr(2177 - 2129) + chr(111) + '\062' + '\060' + chr(0b110000), 0b1000) - ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), 8) if xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\x188m\xa6\x89\x9fh\xb1\x10\xd9\xfe\x90'), '\144' + chr(3595 - 3494) + chr(0b1100011) + chr(0b10010 + 0o135) + chr(0b1100100) + chr(0b11110 + 0o107))(chr(0b1110101) + chr(5787 - 5671) + '\x66' + chr(237 - 192) + chr(2508 - 2452)))[ehT0Px3KOsy9(chr(48) + chr(5839 - 5728) + '\060', 8)] == ehT0Px3KOsy9(chr(48) + chr(0b101100 + 0o103) + '\x31', 8): ULnjp6D6efFH = CIVheOt0RKQX.nd.tile(ULnjp6D6efFH, (ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + chr(0b110001), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 8))) return (ULnjp6D6efFH, TRUOLFLuD08x)
apache/incubator-mxnet
example/gluon/dc_gan/dcgan.py
get_dataset
def get_dataset(dataset_name): """Load the dataset and split it to train/valid data :param dataset_name: string Returns: train_data: int array training dataset val_data: int array valid dataset """ # mnist if dataset == "mnist": train_data = gluon.data.DataLoader( gluon.data.vision.MNIST('./data', train=True, transform=transformer), batch_size, shuffle=True, last_batch='discard') val_data = gluon.data.DataLoader( gluon.data.vision.MNIST('./data', train=False, transform=transformer), batch_size, shuffle=False) # cifar10 elif dataset == "cifar10": train_data = gluon.data.DataLoader( gluon.data.vision.CIFAR10('./data', train=True, transform=transformer), batch_size, shuffle=True, last_batch='discard') val_data = gluon.data.DataLoader( gluon.data.vision.CIFAR10('./data', train=False, transform=transformer), batch_size, shuffle=False) return train_data, val_data
python
def get_dataset(dataset_name): """Load the dataset and split it to train/valid data :param dataset_name: string Returns: train_data: int array training dataset val_data: int array valid dataset """ # mnist if dataset == "mnist": train_data = gluon.data.DataLoader( gluon.data.vision.MNIST('./data', train=True, transform=transformer), batch_size, shuffle=True, last_batch='discard') val_data = gluon.data.DataLoader( gluon.data.vision.MNIST('./data', train=False, transform=transformer), batch_size, shuffle=False) # cifar10 elif dataset == "cifar10": train_data = gluon.data.DataLoader( gluon.data.vision.CIFAR10('./data', train=True, transform=transformer), batch_size, shuffle=True, last_batch='discard') val_data = gluon.data.DataLoader( gluon.data.vision.CIFAR10('./data', train=False, transform=transformer), batch_size, shuffle=False) return train_data, val_data
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Load the dataset and split it to train/valid data :param dataset_name: string Returns: train_data: int array training dataset val_data: int array valid dataset
[ "Load", "the", "dataset", "and", "split", "it", "to", "train", "/", "valid", "data" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/dc_gan/dcgan.py#L132-L162
train
Load the dataset and split it to train and valid data
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\x34' + chr(1120 - 1071), 0o10), ehT0Px3KOsy9(chr(48) + chr(8872 - 8761) + chr(0b110011) + '\061' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(164 - 116) + chr(0b1101111) + '\x33' + chr(0b110010) + chr(0b1101 + 0o43), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\x34' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(855 - 804) + '\067' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1529 - 1479) + '\060' + '\066', 44110 - 44102), ehT0Px3KOsy9(chr(2304 - 2256) + chr(6095 - 5984) + '\x32' + chr(2125 - 2077) + '\x31', 0o10), ehT0Px3KOsy9(chr(292 - 244) + chr(10049 - 9938) + '\062' + chr(0b101001 + 0o12) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\062' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9397 - 9286) + chr(51) + chr(0b110111) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011111 + 0o20) + chr(2242 - 2191) + '\x35' + chr(51), 48912 - 48904), ehT0Px3KOsy9('\060' + '\157' + chr(847 - 793) + chr(0b1000 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(0b110010) + '\x36' + '\x36', 0o10), ehT0Px3KOsy9(chr(1569 - 1521) + chr(0b1101111) + chr(0b110010) + chr(55) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\061' + chr(0b10111 + 0o32), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101011 + 0o14), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(11837 - 11726) + chr(1276 - 1223) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1111 + 0o43) + chr(1318 - 1264) + chr(54), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + chr(50) + chr(1630 - 1582) + chr(0b11111 + 0o22), 8), ehT0Px3KOsy9('\x30' + '\157' + '\x34' + chr(0b110001 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b110101) + chr(0b1111 + 0o45), 53892 - 53884), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101000 + 0o12) + chr(0b110011) + chr(0b10101 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(1872 - 1761) + '\067' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2809 - 2698) + chr(0b11001 + 0o31) + '\x37' + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1252 - 1202) + chr(52) + chr(2698 - 2643), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1265 - 1216) + chr(2333 - 2279) + chr(0b110101 + 0o1), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b110101) + '\065', 56204 - 56196), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + '\x33' + chr(49) + chr(50), 0o10), ehT0Px3KOsy9(chr(508 - 460) + chr(782 - 671) + chr(0b101 + 0o54) + chr(55) + chr(0b110000), 12693 - 12685), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(316 - 268) + chr(0b101011 + 0o12), 63802 - 63794), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10010 + 0o40) + chr(2147 - 2096) + chr(0b11 + 0o56), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\x36' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + chr(0b10110 + 0o35) + chr(52), 1221 - 1213), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110101 + 0o2) + chr(53), 0b1000), ehT0Px3KOsy9(chr(1650 - 1602) + chr(111) + '\x37' + '\x31', 23620 - 23612), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(975 - 921), 18545 - 18537), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\x36' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(100 - 46) + chr(0b1 + 0o62), 0b1000), ehT0Px3KOsy9(chr(1478 - 1430) + chr(111) + '\x32' + '\x37' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\067' + chr(54), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + chr(0b11000 + 0o30), 19124 - 19116)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f'), chr(100) + '\145' + chr(0b1100011) + chr(0b1 + 0o156) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1001000 + 0o36) + '\x2d' + chr(0b101110 + 0o12)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def CghZ0UpvMuCa(p_vJ076GqAjR): if xQt6gV9VfTO3 == xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xa0\xb9\x13\x88'), chr(0b1100100) + '\145' + chr(0b1100011) + '\157' + chr(100) + '\x65')(chr(184 - 67) + chr(0b1110100) + '\146' + '\x2d' + '\070'): sW8AagBcZuuj = Bm3NCCYMMXjd.data.DataLoader(Bm3NCCYMMXjd.data.vision.MNIST(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xe1\xb4\x01\x88\xe7'), chr(8136 - 8036) + chr(8528 - 8427) + chr(0b1100011 + 0o0) + chr(787 - 676) + chr(100) + '\145')(chr(0b101101 + 0o110) + chr(0b1110100) + '\146' + chr(0b101101) + '\x38'), train=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49), 0b1000), transform=Nk9m9eKr4iuF), ix9dZyeAmUxY, shuffle=ehT0Px3KOsy9(chr(1640 - 1592) + chr(111) + chr(0b110001), 8), last_batch=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xa7\xa3\x03\x9d\xf4\xe5'), chr(0b1100100) + chr(0b1110 + 0o127) + '\x63' + chr(111) + chr(100) + chr(101))('\165' + chr(116) + '\146' + chr(45) + '\x38')) Fqf3aMH2G9yX = Bm3NCCYMMXjd.data.DataLoader(Bm3NCCYMMXjd.data.vision.MNIST(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xe1\xb4\x01\x88\xe7'), chr(100) + chr(8727 - 8626) + '\x63' + chr(0b111001 + 0o66) + chr(0b1100100) + chr(4475 - 4374))('\x75' + chr(0b1110100) + chr(102) + chr(1419 - 1374) + chr(56)), train=ehT0Px3KOsy9('\x30' + '\157' + chr(1820 - 1772), 16186 - 16178), transform=Nk9m9eKr4iuF), ix9dZyeAmUxY, shuffle=ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000), 8)) elif xQt6gV9VfTO3 == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xa7\xb6\x01\x8e\xb7\xb1'), '\144' + '\x65' + chr(0b101010 + 0o71) + '\157' + chr(3612 - 3512) + chr(0b1000111 + 0o36))(chr(0b1110101) + '\164' + chr(0b1000101 + 0o41) + '\055' + '\070'): sW8AagBcZuuj = Bm3NCCYMMXjd.data.DataLoader(Bm3NCCYMMXjd.data.vision.CIFAR10(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xe1\xb4\x01\x88\xe7'), chr(0b1001011 + 0o31) + chr(0b1100101) + chr(99) + chr(111) + chr(6957 - 6857) + chr(10030 - 9929))(chr(117) + '\164' + chr(6752 - 6650) + chr(0b101101) + '\x38'), train=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(664 - 615), 8), transform=Nk9m9eKr4iuF), ix9dZyeAmUxY, shuffle=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 8), last_batch=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xa7\xa3\x03\x9d\xf4\xe5'), chr(100) + chr(101) + chr(2031 - 1932) + chr(0b1101111) + chr(0b11000 + 0o114) + '\x65')(chr(0b111000 + 0o75) + chr(0b101111 + 0o105) + '\146' + chr(1918 - 1873) + chr(56))) Fqf3aMH2G9yX = Bm3NCCYMMXjd.data.DataLoader(Bm3NCCYMMXjd.data.vision.CIFAR10(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xe1\xb4\x01\x88\xe7'), '\x64' + chr(485 - 384) + '\143' + '\157' + '\144' + chr(0b111 + 0o136))(chr(0b1110101) + chr(0b1100001 + 0o23) + chr(5235 - 5133) + '\055' + chr(2056 - 2000)), train=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 8), transform=Nk9m9eKr4iuF), ix9dZyeAmUxY, shuffle=ehT0Px3KOsy9(chr(1008 - 960) + '\x6f' + '\x30', 8)) return (sW8AagBcZuuj, Fqf3aMH2G9yX)
apache/incubator-mxnet
example/gluon/dc_gan/dcgan.py
get_netG
def get_netG(): """Get net G""" # build the generator netG = nn.Sequential() with netG.name_scope(): # input is Z, going into a convolution netG.add(nn.Conv2DTranspose(ngf * 8, 4, 1, 0, use_bias=False)) netG.add(nn.BatchNorm()) netG.add(nn.Activation('relu')) # state size. (ngf*8) x 4 x 4 netG.add(nn.Conv2DTranspose(ngf * 4, 4, 2, 1, use_bias=False)) netG.add(nn.BatchNorm()) netG.add(nn.Activation('relu')) # state size. (ngf*4) x 8 x 8 netG.add(nn.Conv2DTranspose(ngf * 2, 4, 2, 1, use_bias=False)) netG.add(nn.BatchNorm()) netG.add(nn.Activation('relu')) # state size. (ngf*2) x 16 x 16 netG.add(nn.Conv2DTranspose(ngf, 4, 2, 1, use_bias=False)) netG.add(nn.BatchNorm()) netG.add(nn.Activation('relu')) # state size. (ngf) x 32 x 32 netG.add(nn.Conv2DTranspose(nc, 4, 2, 1, use_bias=False)) netG.add(nn.Activation('tanh')) # state size. (nc) x 64 x 64 return netG
python
def get_netG(): """Get net G""" # build the generator netG = nn.Sequential() with netG.name_scope(): # input is Z, going into a convolution netG.add(nn.Conv2DTranspose(ngf * 8, 4, 1, 0, use_bias=False)) netG.add(nn.BatchNorm()) netG.add(nn.Activation('relu')) # state size. (ngf*8) x 4 x 4 netG.add(nn.Conv2DTranspose(ngf * 4, 4, 2, 1, use_bias=False)) netG.add(nn.BatchNorm()) netG.add(nn.Activation('relu')) # state size. (ngf*4) x 8 x 8 netG.add(nn.Conv2DTranspose(ngf * 2, 4, 2, 1, use_bias=False)) netG.add(nn.BatchNorm()) netG.add(nn.Activation('relu')) # state size. (ngf*2) x 16 x 16 netG.add(nn.Conv2DTranspose(ngf, 4, 2, 1, use_bias=False)) netG.add(nn.BatchNorm()) netG.add(nn.Activation('relu')) # state size. (ngf) x 32 x 32 netG.add(nn.Conv2DTranspose(nc, 4, 2, 1, use_bias=False)) netG.add(nn.Activation('tanh')) # state size. (nc) x 64 x 64 return netG
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Get net G
[ "Get", "net", "G" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/dc_gan/dcgan.py#L165-L191
train
Get the net G for the current version of the current version of the current version of the current version of the current version of the current version of the current version of the version.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(55) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(704 - 656) + '\x6f' + chr(1174 - 1125) + '\x35' + '\064', 0o10), ehT0Px3KOsy9(chr(1251 - 1203) + chr(10926 - 10815) + chr(49) + chr(1935 - 1884) + chr(0b1111 + 0o47), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\065' + chr(0b110011), 36331 - 36323), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(8187 - 8076) + chr(0b10101 + 0o35) + chr(0b101101 + 0o6) + chr(0b110000), 12480 - 12472), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\060' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100100 + 0o13) + chr(0b110011) + chr(0b110101) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(1389 - 1341) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1415 - 1365) + chr(0b10 + 0o61) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(2231 - 2183) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(51) + chr(0b11111 + 0o30) + chr(163 - 112), 16008 - 16000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(501 - 451) + chr(0b10011 + 0o44) + '\x33', 41032 - 41024), ehT0Px3KOsy9(chr(48) + chr(5048 - 4937) + chr(51) + '\064' + chr(0b1100 + 0o51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110100) + chr(2256 - 2201), 0o10), ehT0Px3KOsy9(chr(1636 - 1588) + chr(111) + '\061' + '\x30' + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(2411 - 2360) + chr(818 - 769), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1149 - 1038) + chr(0b100010 + 0o20), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b1101 + 0o43) + chr(0b10110 + 0o40), 8), ehT0Px3KOsy9(chr(1941 - 1893) + chr(0b1101111) + chr(50) + '\064' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(0b110010) + chr(2021 - 1970) + chr(0b1111 + 0o45), 0o10), ehT0Px3KOsy9('\060' + chr(2415 - 2304) + chr(0b110001) + chr(55) + chr(0b10111 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(6864 - 6753) + chr(51) + chr(0b110111) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b101001 + 0o13) + chr(0b11000 + 0o31), 0o10), ehT0Px3KOsy9(chr(2125 - 2077) + '\x6f' + chr(0b10100 + 0o37) + chr(543 - 495), 0o10), ehT0Px3KOsy9('\x30' + chr(4922 - 4811) + '\x32' + chr(0b110100) + chr(2341 - 2287), 50113 - 50105), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(55) + chr(0b1 + 0o64), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8992 - 8881) + chr(1183 - 1134) + '\x32' + chr(0b110001), 8100 - 8092), ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + '\x32' + chr(1917 - 1862) + chr(2261 - 2212), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + chr(0b110010) + chr(2183 - 2131) + '\067', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101101 + 0o4) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(54) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + '\063' + '\066' + chr(0b101011 + 0o12), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b101 + 0o54) + chr(48), 32771 - 32763), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + chr(508 - 459) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(4841 - 4730) + chr(55) + chr(0b100100 + 0o15), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x34' + chr(1407 - 1355), 1091 - 1083), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b111111 + 0o60) + chr(49) + '\x35' + '\x34', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(627 - 578) + chr(55) + chr(0b101110 + 0o10), 0o10), ehT0Px3KOsy9('\x30' + chr(10913 - 10802) + chr(316 - 267) + '\067', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2327 - 2274) + chr(1044 - 996), 58072 - 58064)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x12'), '\144' + chr(8354 - 8253) + chr(0b1100011) + '\x6f' + chr(100) + chr(101))(chr(0b1000000 + 0o65) + chr(0b1000100 + 0o60) + chr(102) + '\055' + chr(0b111000 + 0o0)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def cfvCEGPnvuO8(): j40appNV3Xf2 = YGzaUG18aF1F.Sequential() with xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b"R\r3Lt\xeb'\x84\xf5\xfb"), '\144' + '\145' + '\143' + chr(0b1101111) + chr(0b1100100) + '\145')(chr(117) + '\x74' + chr(0b1011111 + 0o7) + '\x2d' + chr(406 - 350)))(): xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'I&nX\x12\xfb\x03\xde\xdf\xd1\x92\xc8'), chr(0b10101 + 0o117) + chr(0b1100101) + chr(4478 - 4379) + chr(111) + '\x64' + chr(3005 - 2904))(chr(0b100001 + 0o124) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(536 - 480)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\x030_\x19\xdc\x10\x99\xe4\xf0\xb3\x8b\xd4\x96\xc2'), chr(5940 - 5840) + chr(2209 - 2108) + chr(1813 - 1714) + chr(0b100100 + 0o113) + chr(0b1100100) + '\145')(chr(1012 - 895) + chr(116) + chr(7433 - 7331) + chr(239 - 194) + '\x38'))(XyYAOYxuMEQH * ehT0Px3KOsy9(chr(1736 - 1688) + chr(111) + chr(0b10010 + 0o37) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1189 - 1141) + chr(9780 - 9669) + '\x34', 63383 - 63375), ehT0Px3KOsy9('\x30' + chr(111) + '\061', 0b1000), ehT0Px3KOsy9(chr(580 - 532) + chr(0b1010001 + 0o36) + chr(0b110000), 0o10), use_bias=ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(982 - 934), 8))) xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'I&nX\x12\xfb\x03\xde\xdf\xd1\x92\xc8'), chr(0b1100100) + '\145' + '\x63' + chr(6059 - 5948) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(9651 - 9535) + chr(0b1001111 + 0o27) + '\x2d' + chr(0b11001 + 0o37)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'~\r*JC\xd6+\x99\xe8'), chr(0b1100100) + chr(101) + '\143' + chr(7656 - 7545) + chr(0b1010 + 0o132) + chr(3493 - 3392))(chr(0b10000 + 0o145) + chr(0b1110100) + '\146' + chr(0b101101) + '\x38'))()) xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'I&nX\x12\xfb\x03\xde\xdf\xd1\x92\xc8'), chr(0b1001000 + 0o34) + chr(1881 - 1780) + chr(0b1100011) + '\157' + '\144' + chr(3803 - 3702))(chr(11899 - 11782) + '\x74' + chr(2189 - 2087) + '\055' + chr(598 - 542)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'}\x0f*@]\xf90\x82\xea\xf0'), '\x64' + '\145' + chr(4776 - 4677) + chr(0b1101111) + chr(0b1100100) + chr(0b1011101 + 0o10))(chr(5288 - 5171) + chr(0b110001 + 0o103) + chr(8275 - 8173) + chr(0b111 + 0o46) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'N\t2\\'), '\144' + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + '\x66' + chr(0b101101) + '\x38'))) xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'I&nX\x12\xfb\x03\xde\xdf\xd1\x92\xc8'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b101101 + 0o107) + chr(0b1100110) + '\x2d' + chr(0b1 + 0o67)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\x030_\x19\xdc\x10\x99\xe4\xf0\xb3\x8b\xd4\x96\xc2'), chr(6408 - 6308) + chr(0b11011 + 0o112) + chr(9792 - 9693) + '\157' + chr(163 - 63) + '\x65')(chr(0b1011000 + 0o35) + chr(10608 - 10492) + chr(0b110000 + 0o66) + '\x2d' + chr(0b111000)))(XyYAOYxuMEQH * ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(52), 8), ehT0Px3KOsy9('\060' + chr(0b1001110 + 0o41) + chr(52), 8), ehT0Px3KOsy9(chr(1944 - 1896) + chr(0b1101111) + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100 + 0o55), 8), use_bias=ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110000), 8))) xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'I&nX\x12\xfb\x03\xde\xdf\xd1\x92\xc8'), chr(100) + chr(0b11011 + 0o112) + chr(4573 - 4474) + chr(0b1101111) + chr(3141 - 3041) + chr(1798 - 1697))(chr(0b1101011 + 0o12) + chr(0b1101101 + 0o7) + chr(0b1100110) + chr(45) + chr(56)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'~\r*JC\xd6+\x99\xe8'), chr(0b11100 + 0o110) + '\x65' + chr(99) + '\x6f' + chr(100) + chr(101))(chr(0b1110101) + '\x74' + '\x66' + chr(0b101001 + 0o4) + '\070'))()) xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'I&nX\x12\xfb\x03\xde\xdf\xd1\x92\xc8'), chr(0b110011 + 0o61) + chr(101) + chr(629 - 530) + chr(0b1101111) + '\x64' + chr(6964 - 6863))('\x75' + chr(0b1110100) + chr(102) + chr(45) + '\x38'))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'}\x0f*@]\xf90\x82\xea\xf0'), chr(9064 - 8964) + chr(0b111001 + 0o54) + '\143' + chr(0b1101111) + '\144' + chr(101))(chr(117) + chr(116) + '\146' + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'N\t2\\'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(1240 - 1129) + '\x64' + chr(101))('\x75' + chr(155 - 39) + chr(4615 - 4513) + chr(0b101101) + chr(784 - 728)))) xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'I&nX\x12\xfb\x03\xde\xdf\xd1\x92\xc8'), '\144' + '\145' + '\x63' + chr(0b1101111) + '\144' + '\x65')(chr(117) + '\x74' + chr(0b1100110) + chr(0b11011 + 0o22) + chr(0b111000)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\x030_\x19\xdc\x10\x99\xe4\xf0\xb3\x8b\xd4\x96\xc2'), '\144' + chr(0b1100101) + '\x63' + '\157' + '\x64' + chr(0b1010110 + 0o17))(chr(0b111111 + 0o66) + chr(8260 - 8144) + chr(0b1110 + 0o130) + chr(1599 - 1554) + chr(0b111000)))(XyYAOYxuMEQH * ehT0Px3KOsy9(chr(48) + chr(1654 - 1543) + '\062', 8), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + '\x34', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11010 + 0o30), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001), 8), use_bias=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101000 + 0o10), 8))) xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'I&nX\x12\xfb\x03\xde\xdf\xd1\x92\xc8'), chr(2452 - 2352) + chr(7514 - 7413) + chr(8410 - 8311) + chr(474 - 363) + chr(0b1100100) + chr(101))('\x75' + chr(116) + chr(0b1100110) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'~\r*JC\xd6+\x99\xe8'), chr(0b1001111 + 0o25) + chr(0b1100101) + chr(2530 - 2431) + chr(111) + '\144' + chr(0b1001101 + 0o30))(chr(0b1001101 + 0o50) + '\164' + chr(7284 - 7182) + chr(0b101 + 0o50) + chr(0b111000)))()) xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'I&nX\x12\xfb\x03\xde\xdf\xd1\x92\xc8'), '\x64' + chr(0b1100101) + chr(0b10001 + 0o122) + '\157' + '\144' + chr(5392 - 5291))('\165' + chr(116) + chr(4507 - 4405) + chr(45) + '\070'))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'}\x0f*@]\xf90\x82\xea\xf0'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + chr(100) + chr(9724 - 9623))(chr(5560 - 5443) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(1898 - 1842)))(xafqLlk3kkUe(SXOLrMavuUCe(b'N\t2\\'), chr(9217 - 9117) + chr(101) + chr(1052 - 953) + chr(6093 - 5982) + '\144' + chr(101))('\x75' + '\164' + chr(0b1000101 + 0o41) + chr(45) + chr(91 - 35)))) xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'I&nX\x12\xfb\x03\xde\xdf\xd1\x92\xc8'), chr(100) + chr(0b1100101) + chr(0b101100 + 0o67) + chr(111) + chr(100) + chr(101))(chr(117) + '\x74' + chr(102) + chr(0b0 + 0o55) + chr(56)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\x030_\x19\xdc\x10\x99\xe4\xf0\xb3\x8b\xd4\x96\xc2'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1010 + 0o145) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(102) + '\x2d' + chr(0b1001 + 0o57)))(XyYAOYxuMEQH, ehT0Px3KOsy9(chr(1789 - 1741) + chr(0b1001010 + 0o45) + chr(1798 - 1746), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(50), 8), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + '\061', 8), use_bias=ehT0Px3KOsy9('\060' + chr(111) + chr(48), 8))) xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'I&nX\x12\xfb\x03\xde\xdf\xd1\x92\xc8'), chr(3813 - 3713) + '\x65' + chr(99) + chr(930 - 819) + chr(5482 - 5382) + chr(0b100110 + 0o77))(chr(0b1100110 + 0o17) + chr(0b100101 + 0o117) + chr(0b11101 + 0o111) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'~\r*JC\xd6+\x99\xe8'), chr(100) + chr(1689 - 1588) + chr(0b1101 + 0o126) + chr(12185 - 12074) + chr(100) + chr(0b111001 + 0o54))(chr(117) + chr(116) + chr(0b11001 + 0o115) + chr(0b101101) + chr(2551 - 2495)))()) xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'I&nX\x12\xfb\x03\xde\xdf\xd1\x92\xc8'), chr(0b1100100) + '\145' + chr(99) + chr(0b100101 + 0o112) + chr(0b1100100) + chr(101))('\165' + chr(382 - 266) + '\x66' + '\x2d' + '\x38'))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'}\x0f*@]\xf90\x82\xea\xf0'), chr(100) + chr(7880 - 7779) + chr(0b1100011) + '\157' + chr(100) + '\145')(chr(5491 - 5374) + chr(116) + '\146' + chr(0b1101 + 0o40) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'N\t2\\'), chr(0b100 + 0o140) + '\145' + chr(99) + chr(0b1100110 + 0o11) + chr(100) + chr(101))(chr(8049 - 7932) + '\164' + chr(0b1100 + 0o132) + chr(1909 - 1864) + chr(0b110101 + 0o3)))) xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'I&nX\x12\xfb\x03\xde\xdf\xd1\x92\xc8'), chr(5544 - 5444) + chr(0b10111 + 0o116) + chr(99) + chr(0b1101111) + chr(5015 - 4915) + chr(9890 - 9789))(chr(6859 - 6742) + '\x74' + chr(4018 - 3916) + '\055' + chr(56)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\x030_\x19\xdc\x10\x99\xe4\xf0\xb3\x8b\xd4\x96\xc2'), chr(0b0 + 0o144) + '\145' + chr(0b11110 + 0o105) + '\x6f' + '\144' + '\x65')(chr(0b110001 + 0o104) + chr(0b1110100) + '\x66' + chr(45) + '\070'))(hAyzt8r6DLE7, ehT0Px3KOsy9(chr(165 - 117) + '\157' + chr(1743 - 1691), 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b111000 + 0o67) + chr(0b1110 + 0o44), 8), ehT0Px3KOsy9('\060' + chr(9190 - 9079) + chr(0b101010 + 0o7), 8), use_bias=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000), 8))) xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'I&nX\x12\xfb\x03\xde\xdf\xd1\x92\xc8'), chr(100) + chr(5224 - 5123) + '\x63' + chr(0b1101111) + chr(0b100111 + 0o75) + chr(101))(chr(11655 - 11538) + chr(0b1 + 0o163) + chr(0b1100110) + chr(1242 - 1197) + '\x38'))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'}\x0f*@]\xf90\x82\xea\xf0'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(101))(chr(0b1110101) + chr(9441 - 9325) + chr(0b1011110 + 0o10) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'H\r0A'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + '\x64' + chr(101))(chr(0b1110101) + chr(1446 - 1330) + '\x66' + chr(45) + chr(56)))) return j40appNV3Xf2
apache/incubator-mxnet
example/gluon/dc_gan/dcgan.py
get_netD
def get_netD(): """Get the netD""" # build the discriminator netD = nn.Sequential() with netD.name_scope(): # input is (nc) x 64 x 64 netD.add(nn.Conv2D(ndf, 4, 2, 1, use_bias=False)) netD.add(nn.LeakyReLU(0.2)) # state size. (ndf) x 32 x 32 netD.add(nn.Conv2D(ndf * 2, 4, 2, 1, use_bias=False)) netD.add(nn.BatchNorm()) netD.add(nn.LeakyReLU(0.2)) # state size. (ndf*2) x 16 x 16 netD.add(nn.Conv2D(ndf * 4, 4, 2, 1, use_bias=False)) netD.add(nn.BatchNorm()) netD.add(nn.LeakyReLU(0.2)) # state size. (ndf*4) x 8 x 8 netD.add(nn.Conv2D(ndf * 8, 4, 2, 1, use_bias=False)) netD.add(nn.BatchNorm()) netD.add(nn.LeakyReLU(0.2)) # state size. (ndf*8) x 4 x 4 netD.add(nn.Conv2D(2, 4, 1, 0, use_bias=False)) # state size. 2 x 1 x 1 return netD
python
def get_netD(): """Get the netD""" # build the discriminator netD = nn.Sequential() with netD.name_scope(): # input is (nc) x 64 x 64 netD.add(nn.Conv2D(ndf, 4, 2, 1, use_bias=False)) netD.add(nn.LeakyReLU(0.2)) # state size. (ndf) x 32 x 32 netD.add(nn.Conv2D(ndf * 2, 4, 2, 1, use_bias=False)) netD.add(nn.BatchNorm()) netD.add(nn.LeakyReLU(0.2)) # state size. (ndf*2) x 16 x 16 netD.add(nn.Conv2D(ndf * 4, 4, 2, 1, use_bias=False)) netD.add(nn.BatchNorm()) netD.add(nn.LeakyReLU(0.2)) # state size. (ndf*4) x 8 x 8 netD.add(nn.Conv2D(ndf * 8, 4, 2, 1, use_bias=False)) netD.add(nn.BatchNorm()) netD.add(nn.LeakyReLU(0.2)) # state size. (ndf*8) x 4 x 4 netD.add(nn.Conv2D(2, 4, 1, 0, use_bias=False)) # state size. 2 x 1 x 1 return netD
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Get the netD
[ "Get", "the", "netD" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/dc_gan/dcgan.py#L194-L218
train
Get the netD for the current version of the current version of the current version of the current version of the current version of the current version of the current version of the current version of the current version of the version.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\063' + chr(0b101100 + 0o12), 0b1000), ehT0Px3KOsy9(chr(1932 - 1884) + chr(111) + '\x32' + '\061' + chr(1943 - 1892), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6533 - 6422) + '\x31' + chr(0b110010 + 0o1) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b111101 + 0o62) + '\x31' + '\x33' + chr(49), 37311 - 37303), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(54), 0o10), ehT0Px3KOsy9(chr(240 - 192) + chr(2879 - 2768) + chr(49) + '\x36' + chr(1093 - 1038), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1252 - 1203) + chr(0b110001) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b111 + 0o52) + chr(0b110001) + chr(0b10 + 0o64), 31597 - 31589), ehT0Px3KOsy9(chr(2045 - 1997) + chr(6159 - 6048) + '\067' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(68 - 19) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1952 - 1902) + '\x32' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\x34' + chr(1016 - 968), 26922 - 26914), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100010 + 0o21) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + chr(758 - 708) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000011 + 0o54) + '\x32' + chr(50) + chr(49), 57635 - 57627), ehT0Px3KOsy9('\060' + chr(1393 - 1282) + chr(1424 - 1373) + '\065' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + chr(2072 - 2023) + chr(0b110111) + chr(0b11011 + 0o26), 13392 - 13384), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b110001) + chr(0b10011 + 0o35), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5385 - 5274) + chr(0b110111) + chr(1919 - 1865), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2277 - 2226) + chr(2051 - 1997) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7651 - 7540) + chr(415 - 366) + chr(0b110001) + chr(0b1101 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(1372 - 1324) + '\x6f' + '\063' + chr(53) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(0b100 + 0o56) + chr(2002 - 1950) + '\064', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(2435 - 2324) + '\x33' + chr(0b110100) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10 + 0o155) + '\x32' + chr(566 - 511) + '\062', 53150 - 53142), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b100111 + 0o13) + '\060', 0o10), ehT0Px3KOsy9(chr(1713 - 1665) + chr(10449 - 10338) + chr(1024 - 975) + chr(50) + chr(481 - 430), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b110101) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(4527 - 4416) + chr(0b101111 + 0o10) + '\065', 61637 - 61629), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110111) + chr(0b100100 + 0o20), 42879 - 42871), ehT0Px3KOsy9(chr(86 - 38) + chr(0b1101111) + chr(0b111 + 0o53) + '\x30' + chr(2245 - 2193), 9859 - 9851), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(0b11001 + 0o35), 8), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1010101 + 0o32) + chr(0b110010) + '\x35' + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100010 + 0o22) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\x33' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1169 - 1115) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110010) + '\x33', 8814 - 8806), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(555 - 505) + chr(888 - 837) + '\067', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(3590 - 3479) + chr(0b10001 + 0o44) + chr(2109 - 2061), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0'), chr(0b1100100) + '\x65' + chr(99) + '\x6f' + chr(7099 - 6999) + '\145')(chr(0b111110 + 0o67) + chr(0b111101 + 0o67) + chr(9986 - 9884) + chr(0b0 + 0o55) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def p9PQpcvOYWgB(): ipts2yZYR2Lv = YGzaUG18aF1F.Sequential() with xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\xea7<\x7fe\x14%>^'), chr(0b10110 + 0o116) + chr(101) + chr(0b110010 + 0o61) + chr(0b0 + 0o157) + chr(612 - 512) + '\145')(chr(0b1000001 + 0o64) + chr(0b1110100) + chr(102) + chr(1842 - 1797) + '\x38'))(): xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xc1j(\x19u0\x7f\x14t\x9f\xa6'), '\x64' + '\145' + chr(0b1100011) + '\x6f' + '\x64' + chr(0b101001 + 0o74))('\165' + '\x74' + '\x66' + chr(1765 - 1720) + chr(0b111000)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\xe44/\x12R'), chr(0b1011111 + 0o5) + '\x65' + chr(99) + '\157' + '\144' + chr(101))('\x75' + chr(0b1 + 0o163) + chr(2031 - 1929) + '\x2d' + chr(0b101010 + 0o16)))(Ax7AJCRkuN0W, ehT0Px3KOsy9(chr(48) + chr(5505 - 5394) + chr(2530 - 2478), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7972 - 7861) + chr(0b100001 + 0o20), ord("\x08")), use_bias=ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x30', 15113 - 15105))) xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xc1j(\x19u0\x7f\x14t\x9f\xa6'), chr(100) + '\145' + chr(0b111 + 0o134) + '\x6f' + chr(0b1100100) + chr(2612 - 2511))('\x75' + chr(0b1110100) + '\x66' + chr(909 - 864) + chr(520 - 464)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\xee;2YD\x12\x06\x1b'), '\144' + '\145' + chr(9658 - 9559) + chr(111) + '\144' + '\x65')('\165' + chr(116) + chr(102) + chr(45) + chr(255 - 199)))(0.2)) xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xc1j(\x19u0\x7f\x14t\x9f\xa6'), chr(0b1100 + 0o130) + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')('\x75' + '\164' + chr(0b1100110) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\xe44/\x12R'), '\144' + chr(0b1100101 + 0o0) + chr(7998 - 7899) + chr(0b1101111) + chr(100) + '\x65')('\x75' + chr(0b1011111 + 0o25) + chr(102) + '\x2d' + '\x38'))(Ax7AJCRkuN0W * ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1000010 + 0o55) + '\062', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\062', 8), ehT0Px3KOsy9(chr(1080 - 1032) + chr(0b1101111) + chr(49), 8), use_bias=ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(6558 - 6447) + '\x30', 8))) xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xc1j(\x19u0\x7f\x14t\x9f\xa6'), '\144' + chr(0b10001 + 0o124) + '\143' + '\157' + '\144' + '\145')(chr(117) + chr(0b1101110 + 0o6) + '\x66' + chr(45) + '\070'))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xea.:HX\x188#'), chr(0b11001 + 0o113) + chr(8660 - 8559) + chr(0b1000010 + 0o41) + '\x6f' + chr(0b110111 + 0o55) + chr(0b1100101))('\165' + '\164' + chr(0b1100110) + '\055' + chr(0b11000 + 0o40)))()) xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xc1j(\x19u0\x7f\x14t\x9f\xa6'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1000000 + 0o57) + chr(0b11000 + 0o114) + chr(0b1100000 + 0o5))(chr(117) + '\164' + '\x66' + chr(794 - 749) + '\070'))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\xee;2YD\x12\x06\x1b'), chr(620 - 520) + '\145' + chr(99) + chr(0b1101100 + 0o3) + '\x64' + chr(1042 - 941))(chr(0b1101110 + 0o7) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b111000)))(0.2)) xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xc1j(\x19u0\x7f\x14t\x9f\xa6'), chr(100) + chr(0b1100101) + chr(3998 - 3899) + chr(0b1100100 + 0o13) + '\x64' + chr(101))('\x75' + chr(0b111111 + 0o65) + chr(102) + chr(0b101101) + chr(0b110101 + 0o3)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\xe44/\x12R'), chr(5603 - 5503) + '\x65' + chr(0b1100011) + '\x6f' + chr(100) + '\x65')(chr(0b110 + 0o157) + '\164' + '\146' + chr(1206 - 1161) + chr(56)))(Ax7AJCRkuN0W * ehT0Px3KOsy9('\060' + chr(1680 - 1569) + chr(2174 - 2122), 8), ehT0Px3KOsy9(chr(1835 - 1787) + '\x6f' + chr(0b110100), 8), ehT0Px3KOsy9('\060' + chr(111) + '\062', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110000 + 0o1), 8), use_bias=ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000), 8))) xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xc1j(\x19u0\x7f\x14t\x9f\xa6'), chr(0b1100100) + chr(3215 - 3114) + chr(0b1001111 + 0o24) + '\x6f' + chr(8738 - 8638) + chr(3864 - 3763))(chr(4320 - 4203) + chr(327 - 211) + chr(0b101010 + 0o74) + chr(45) + '\x38'))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xea.:HX\x188#'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(111) + '\x64' + '\145')(chr(117) + chr(0b1110100) + '\146' + '\x2d' + chr(0b100101 + 0o23)))()) xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xc1j(\x19u0\x7f\x14t\x9f\xa6'), chr(100) + '\145' + chr(8032 - 7933) + chr(111) + chr(5902 - 5802) + '\145')('\x75' + chr(0b1110100) + '\x66' + '\055' + chr(56)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\xee;2YD\x12\x06\x1b'), '\x64' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(100) + chr(0b11011 + 0o112))(chr(0b11001 + 0o134) + chr(0b101001 + 0o113) + chr(8455 - 8353) + '\x2d' + chr(0b111000)))(0.2)) xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xc1j(\x19u0\x7f\x14t\x9f\xa6'), '\144' + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(4301 - 4201) + '\145')(chr(0b110110 + 0o77) + chr(0b101100 + 0o110) + chr(0b1100110) + '\055' + chr(0b1 + 0o67)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\xe44/\x12R'), chr(0b1100100) + chr(101) + chr(8555 - 8456) + chr(0b1101010 + 0o5) + chr(1721 - 1621) + chr(0b1100101))(chr(0b10001 + 0o144) + chr(116) + '\x66' + chr(0b1011 + 0o42) + chr(2740 - 2684)))(Ax7AJCRkuN0W * ehT0Px3KOsy9('\060' + '\157' + chr(0b101001 + 0o10) + chr(896 - 848), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8429 - 8318) + chr(52), 8), ehT0Px3KOsy9(chr(0b110000) + chr(1463 - 1352) + chr(0b10001 + 0o41), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + chr(0b110001), 8), use_bias=ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(1325 - 1214) + chr(0b10001 + 0o37), 8))) xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xc1j(\x19u0\x7f\x14t\x9f\xa6'), chr(0b1100100) + chr(0b1100101) + chr(0b1010001 + 0o22) + '\x6f' + chr(100) + chr(0b1010111 + 0o16))(chr(117) + chr(1376 - 1260) + chr(102) + chr(0b101001 + 0o4) + chr(0b111000)))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xea.:HX\x188#'), chr(7112 - 7012) + '\145' + chr(0b0 + 0o143) + chr(6400 - 6289) + chr(2475 - 2375) + chr(101))(chr(117) + chr(0b1110100) + '\146' + chr(0b1 + 0o54) + chr(0b111000)))()) xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xc1j(\x19u0\x7f\x14t\x9f\xa6'), '\144' + '\x65' + chr(4534 - 4435) + chr(0b1101111) + chr(0b1100000 + 0o4) + chr(5791 - 5690))(chr(117) + '\164' + chr(0b11 + 0o143) + chr(0b100011 + 0o12) + '\070'))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\xee;2YD\x12\x06\x1b'), '\x64' + chr(0b1111 + 0o126) + chr(99) + '\x6f' + '\144' + chr(0b101101 + 0o70))(chr(5695 - 5578) + '\x74' + chr(102) + chr(45) + '\x38'))(0.2)) xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xc1j(\x19u0\x7f\x14t\x9f\xa6'), '\144' + chr(1165 - 1064) + '\x63' + chr(3331 - 3220) + '\x64' + chr(7194 - 7093))(chr(0b1010000 + 0o45) + '\164' + chr(10272 - 10170) + '\x2d' + '\x38'))(xafqLlk3kkUe(YGzaUG18aF1F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\xe44/\x12R'), '\x64' + chr(0b1000110 + 0o37) + chr(99) + chr(0b1101111) + '\x64' + chr(101))('\x75' + '\164' + chr(0b0 + 0o146) + '\x2d' + '\070'))(ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062', 8), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(7379 - 7268) + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1986 - 1937), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 8), use_bias=ehT0Px3KOsy9('\060' + '\157' + '\x30', 8))) return ipts2yZYR2Lv
apache/incubator-mxnet
example/gluon/dc_gan/dcgan.py
get_configurations
def get_configurations(netG, netD): """Get configurations for net""" # loss loss = gluon.loss.SoftmaxCrossEntropyLoss() # initialize the generator and the discriminator netG.initialize(mx.init.Normal(0.02), ctx=ctx) netD.initialize(mx.init.Normal(0.02), ctx=ctx) # trainer for the generator and the discriminator trainerG = gluon.Trainer(netG.collect_params(), 'adam', {'learning_rate': opt.lr, 'beta1': opt.beta1}) trainerD = gluon.Trainer(netD.collect_params(), 'adam', {'learning_rate': opt.lr, 'beta1': opt.beta1}) return loss, trainerG, trainerD
python
def get_configurations(netG, netD): """Get configurations for net""" # loss loss = gluon.loss.SoftmaxCrossEntropyLoss() # initialize the generator and the discriminator netG.initialize(mx.init.Normal(0.02), ctx=ctx) netD.initialize(mx.init.Normal(0.02), ctx=ctx) # trainer for the generator and the discriminator trainerG = gluon.Trainer(netG.collect_params(), 'adam', {'learning_rate': opt.lr, 'beta1': opt.beta1}) trainerD = gluon.Trainer(netD.collect_params(), 'adam', {'learning_rate': opt.lr, 'beta1': opt.beta1}) return loss, trainerG, trainerD
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Get configurations for net
[ "Get", "configurations", "for", "net" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/dc_gan/dcgan.py#L221-L234
train
Get configurations for the net
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(1891 - 1843) + chr(111) + chr(2055 - 2005) + '\063' + chr(2158 - 2106), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(50) + chr(0b10100 + 0o41), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100101 + 0o12) + chr(0b110010) + chr(54) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2306 - 2255) + chr(55) + chr(1948 - 1899), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(11198 - 11087) + '\x31' + chr(55) + '\061', 63543 - 63535), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(49) + '\067' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(52) + chr(0b101111 + 0o3), 32047 - 32039), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(2357 - 2304) + chr(1141 - 1093), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100111 + 0o14) + chr(0b110110) + chr(0b110110), 54090 - 54082), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b100100 + 0o23) + chr(0b10100 + 0o41), 4326 - 4318), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\x37' + '\064', 24501 - 24493), ehT0Px3KOsy9('\060' + chr(11668 - 11557) + chr(0b110011) + '\065' + '\066', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + '\x34' + chr(0b110100), 21737 - 21729), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(54) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(0b110 + 0o54) + '\x32' + chr(54), 55879 - 55871), ehT0Px3KOsy9(chr(230 - 182) + chr(0b1111 + 0o140) + chr(2336 - 2286) + chr(0b100001 + 0o23) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b101101 + 0o12) + chr(0b11111 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b100110 + 0o111) + '\x37' + chr(0b10110 + 0o37), 52810 - 52802), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\063' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x36' + chr(655 - 604), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\063' + chr(575 - 522), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110100) + chr(54), 6987 - 6979), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110000 + 0o6) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(584 - 534) + '\x35' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1966 - 1855) + chr(0b101101 + 0o12) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(972 - 861) + '\063' + chr(0b110011) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(915 - 862) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(54) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(51) + chr(0b1100 + 0o47) + chr(1069 - 1018), 3862 - 3854), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b110110) + chr(52), 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\x37' + '\x36', 52107 - 52099), ehT0Px3KOsy9(chr(1161 - 1113) + chr(0b1001111 + 0o40) + chr(1891 - 1840) + '\060' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(3829 - 3718) + '\061' + chr(564 - 515) + '\x33', 10175 - 10167), ehT0Px3KOsy9(chr(48) + '\157' + '\x37' + chr(659 - 610), 8), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1110 + 0o141) + chr(410 - 361) + chr(0b100010 + 0o16) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(3066 - 2955) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1919 - 1870) + chr(0b100001 + 0o26) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10000 + 0o41) + chr(0b110011) + chr(317 - 266), 21326 - 21318), ehT0Px3KOsy9('\x30' + chr(4577 - 4466) + '\x33' + chr(0b11000 + 0o34) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9327 - 9216) + '\x33' + '\064' + '\x35', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x35' + chr(376 - 328), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2'), '\x64' + chr(0b1100101) + chr(6400 - 6301) + '\157' + '\x64' + '\145')('\x75' + chr(7860 - 7744) + '\146' + chr(0b101101) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def AdggjDsahBHJ(j40appNV3Xf2, ipts2yZYR2Lv): YpO0BcZ6fMsf = Bm3NCCYMMXjd.loss.SoftmaxCrossEntropyLoss() xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5{\xdf\x8d\x10\x1e\x0eA\x8c\x98'), chr(100) + '\x65' + chr(0b111000 + 0o53) + chr(0b1011011 + 0o24) + chr(0b1001100 + 0o30) + chr(1424 - 1323))(chr(4178 - 4061) + '\164' + '\x66' + '\x2d' + '\x38'))(xafqLlk3kkUe(CIVheOt0RKQX.init, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2z\xc4\x94\x18\x13'), chr(0b1111 + 0o125) + chr(0b1011 + 0o132) + chr(0b1100011) + chr(111) + '\144' + chr(0b1000111 + 0o36))(chr(117) + '\164' + '\146' + chr(45) + chr(56)))(0.02), ctx=oM3jLo753XfX) xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5{\xdf\x8d\x10\x1e\x0eA\x8c\x98'), '\x64' + '\x65' + '\x63' + chr(111) + chr(100) + chr(101))(chr(0b1110101) + '\x74' + '\146' + chr(0b101101) + '\x38'))(xafqLlk3kkUe(CIVheOt0RKQX.init, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2z\xc4\x94\x18\x13'), '\144' + chr(0b1100101) + chr(383 - 284) + chr(111) + '\x64' + chr(9545 - 9444))(chr(117) + chr(2852 - 2736) + chr(3054 - 2952) + chr(0b100010 + 0o13) + chr(56)))(0.02), ctx=oM3jLo753XfX) kH_tnwavUjMl = Bm3NCCYMMXjd.Trainer(j40appNV3Xf2.collect_params(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfdq\xd7\x94'), '\x64' + '\145' + '\x63' + chr(111) + '\144' + chr(7489 - 7388))(chr(117) + chr(0b1011011 + 0o31) + chr(0b1100110) + chr(630 - 585) + '\x38'), {xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0p\xd7\x8b\x17\x16\x0cO\xa9\x8f\x1d\x9aA'), chr(0b101001 + 0o73) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(117) + chr(0b1110100) + '\146' + chr(45) + '\070'): PFDxXM_vbSsA.Zzs55KO_HKfp, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfep\xc2\x98H'), chr(6844 - 6744) + chr(7187 - 7086) + chr(0b1100011) + chr(111) + chr(0b101111 + 0o65) + chr(101))(chr(0b1110101) + chr(2032 - 1916) + chr(9171 - 9069) + '\055' + '\x38'): PFDxXM_vbSsA.beta1}) _rGo9yP2RfYr = Bm3NCCYMMXjd.Trainer(ipts2yZYR2Lv.collect_params(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfdq\xd7\x94'), '\x64' + '\x65' + '\143' + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + chr(116) + '\x66' + '\055' + chr(0b111000)), {xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0p\xd7\x8b\x17\x16\x0cO\xa9\x8f\x1d\x9aA'), chr(0b1100100) + chr(0b1011 + 0o132) + chr(99) + chr(0b1101111) + chr(0b110101 + 0o57) + '\x65')('\x75' + '\164' + chr(10035 - 9933) + chr(2023 - 1978) + '\x38'): PFDxXM_vbSsA.Zzs55KO_HKfp, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfep\xc2\x98H'), chr(0b101011 + 0o71) + chr(101) + chr(0b110 + 0o135) + chr(0b1101111) + chr(0b111011 + 0o51) + chr(220 - 119))('\x75' + chr(0b111010 + 0o72) + chr(102) + chr(0b10011 + 0o32) + '\070'): PFDxXM_vbSsA.beta1}) return (YpO0BcZ6fMsf, kH_tnwavUjMl, _rGo9yP2RfYr)
apache/incubator-mxnet
example/gluon/dc_gan/dcgan.py
main
def main(): """Entry point to dcgan""" print("|------- new changes!!!!!!!!!") # to get the dataset and net configuration train_data, val_data = get_dataset(dataset) netG = get_netG() netD = get_netD() loss, trainerG, trainerD = get_configurations(netG, netD) # set labels real_label = mx.nd.ones((opt.batch_size,), ctx=ctx) fake_label = mx.nd.zeros((opt.batch_size,), ctx=ctx) metric = mx.metric.Accuracy() print('Training... ') stamp = datetime.now().strftime('%Y_%m_%d-%H_%M') iter = 0 # to metric the network loss_d = [] loss_g = [] inception_score = [] for epoch in range(opt.nepoch): tic = time.time() btic = time.time() for data, _ in train_data: ############################ # (1) Update D network: maximize log(D(x)) + log(1 - D(G(z))) ########################### # train with real_t data = data.as_in_context(ctx) noise = mx.nd.random.normal(0, 1, shape=(opt.batch_size, nz, 1, 1), ctx=ctx) with autograd.record(): output = netD(data) # reshape output from (opt.batch_size, 2, 1, 1) to (opt.batch_size, 2) output = output.reshape((opt.batch_size, 2)) errD_real = loss(output, real_label) metric.update([real_label, ], [output, ]) with autograd.record(): fake = netG(noise) output = netD(fake.detach()) output = output.reshape((opt.batch_size, 2)) errD_fake = loss(output, fake_label) errD = errD_real + errD_fake errD.backward() metric.update([fake_label,], [output,]) trainerD.step(opt.batch_size) ############################ # (2) Update G network: maximize log(D(G(z))) ########################### with autograd.record(): output = netD(fake) output = output.reshape((-1, 2)) errG = loss(output, real_label) errG.backward() trainerG.step(opt.batch_size) name, acc = metric.get() logging.info('discriminator loss = %f, generator loss = %f, binary training acc = %f at iter %d epoch %d' , mx.nd.mean(errD).asscalar(), mx.nd.mean(errG).asscalar(), acc, iter, epoch) if iter % niter == 0: visual('gout', fake.asnumpy(), name=os.path.join(outf, 'fake_img_iter_%d.png' % iter)) visual('data', data.asnumpy(), name=os.path.join(outf, 'real_img_iter_%d.png' % iter)) # record the metric data loss_d.append(errD) loss_g.append(errG) if opt.inception_score: score, _ = get_inception_score(fake) inception_score.append(score) iter = iter + 1 btic = time.time() name, acc = metric.get() metric.reset() logging.info('\nbinary training acc at epoch %d: %s=%f', epoch, name, acc) logging.info('time: %f', time.time() - tic) # save check_point if check_point: netG.save_parameters(os.path.join(outf, 'generator_epoch_%d.params' %epoch)) netD.save_parameters(os.path.join(outf, 'discriminator_epoch_%d.params' % epoch)) # save parameter netG.save_parameters(os.path.join(outf, 'generator.params')) netD.save_parameters(os.path.join(outf, 'discriminator.params')) # visualization the inception_score as a picture if opt.inception_score: ins_save(inception_score)
python
def main(): """Entry point to dcgan""" print("|------- new changes!!!!!!!!!") # to get the dataset and net configuration train_data, val_data = get_dataset(dataset) netG = get_netG() netD = get_netD() loss, trainerG, trainerD = get_configurations(netG, netD) # set labels real_label = mx.nd.ones((opt.batch_size,), ctx=ctx) fake_label = mx.nd.zeros((opt.batch_size,), ctx=ctx) metric = mx.metric.Accuracy() print('Training... ') stamp = datetime.now().strftime('%Y_%m_%d-%H_%M') iter = 0 # to metric the network loss_d = [] loss_g = [] inception_score = [] for epoch in range(opt.nepoch): tic = time.time() btic = time.time() for data, _ in train_data: ############################ # (1) Update D network: maximize log(D(x)) + log(1 - D(G(z))) ########################### # train with real_t data = data.as_in_context(ctx) noise = mx.nd.random.normal(0, 1, shape=(opt.batch_size, nz, 1, 1), ctx=ctx) with autograd.record(): output = netD(data) # reshape output from (opt.batch_size, 2, 1, 1) to (opt.batch_size, 2) output = output.reshape((opt.batch_size, 2)) errD_real = loss(output, real_label) metric.update([real_label, ], [output, ]) with autograd.record(): fake = netG(noise) output = netD(fake.detach()) output = output.reshape((opt.batch_size, 2)) errD_fake = loss(output, fake_label) errD = errD_real + errD_fake errD.backward() metric.update([fake_label,], [output,]) trainerD.step(opt.batch_size) ############################ # (2) Update G network: maximize log(D(G(z))) ########################### with autograd.record(): output = netD(fake) output = output.reshape((-1, 2)) errG = loss(output, real_label) errG.backward() trainerG.step(opt.batch_size) name, acc = metric.get() logging.info('discriminator loss = %f, generator loss = %f, binary training acc = %f at iter %d epoch %d' , mx.nd.mean(errD).asscalar(), mx.nd.mean(errG).asscalar(), acc, iter, epoch) if iter % niter == 0: visual('gout', fake.asnumpy(), name=os.path.join(outf, 'fake_img_iter_%d.png' % iter)) visual('data', data.asnumpy(), name=os.path.join(outf, 'real_img_iter_%d.png' % iter)) # record the metric data loss_d.append(errD) loss_g.append(errG) if opt.inception_score: score, _ = get_inception_score(fake) inception_score.append(score) iter = iter + 1 btic = time.time() name, acc = metric.get() metric.reset() logging.info('\nbinary training acc at epoch %d: %s=%f', epoch, name, acc) logging.info('time: %f', time.time() - tic) # save check_point if check_point: netG.save_parameters(os.path.join(outf, 'generator_epoch_%d.params' %epoch)) netD.save_parameters(os.path.join(outf, 'discriminator_epoch_%d.params' % epoch)) # save parameter netG.save_parameters(os.path.join(outf, 'generator.params')) netD.save_parameters(os.path.join(outf, 'discriminator.params')) # visualization the inception_score as a picture if opt.inception_score: ins_save(inception_score)
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Entry point to dcgan
[ "Entry", "point", "to", "dcgan" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/dc_gan/dcgan.py#L249-L348
train
Main function for the dcgan training loop
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(146 - 98) + '\157' + '\061' + chr(49) + chr(2444 - 2392), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2334 - 2285) + chr(0b1011 + 0o53) + chr(0b10100 + 0o40), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + '\063' + chr(0b11010 + 0o30) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b0 + 0o62) + chr(0b11111 + 0o27) + chr(2679 - 2627), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001111 + 0o40) + chr(2244 - 2194) + chr(0b11001 + 0o31) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11100 + 0o25) + chr(0b10000 + 0o47) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1062 - 951) + chr(0b101110 + 0o5) + '\x31' + chr(1111 - 1060), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\x30' + '\067', 64019 - 64011), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + '\062' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1100 + 0o47) + chr(1378 - 1325) + chr(0b11010 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\067', 1582 - 1574), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b101101 + 0o12) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(4576 - 4465) + chr(0b101101 + 0o5) + chr(1740 - 1685) + chr(0b101001 + 0o16), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10 + 0o61) + chr(0b110011) + '\061', 12383 - 12375), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(1560 - 1511) + chr(1984 - 1930), 23523 - 23515), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\x31' + chr(1236 - 1188) + chr(0b110110), 62027 - 62019), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(11644 - 11533) + '\x33' + chr(0b110101) + chr(54 - 6), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\061' + chr(0b11100 + 0o32), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b1100 + 0o47) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3777 - 3666) + '\063' + chr(0b11011 + 0o26) + chr(2538 - 2483), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1034 - 985) + chr(0b11001 + 0o35) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010110 + 0o31) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11471 - 11360) + chr(0b110101) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(119 - 70) + '\x34' + chr(0b101111 + 0o6), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1716 - 1667) + '\x30' + chr(52), 30307 - 30299), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(8929 - 8818) + '\x33' + chr(0b10111 + 0o34) + chr(0b11100 + 0o31), 0b1000), ehT0Px3KOsy9(chr(1892 - 1844) + chr(0b11 + 0o154) + chr(0b110001) + chr(0b110101) + chr(384 - 336), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + chr(51) + chr(0b110110) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(431 - 383) + '\157' + chr(0b1101 + 0o46) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000 + 0o1) + '\061' + chr(49), 0o10), ehT0Px3KOsy9(chr(1096 - 1048) + chr(0b1101111) + '\x33' + '\066' + '\064', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b11 + 0o60) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(1881 - 1770) + chr(0b1110 + 0o44) + chr(0b100001 + 0o17) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1111 + 0o140) + chr(0b110010) + '\x31' + chr(2688 - 2634), 47230 - 47222), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1261 - 1211) + chr(0b11100 + 0o24), 33910 - 33902), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x34' + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\065' + '\064', 0o10), ehT0Px3KOsy9(chr(1758 - 1710) + '\157' + chr(0b110001) + chr(1222 - 1174) + chr(1199 - 1148), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + chr(0b100111 + 0o14) + chr(0b100110 + 0o16) + chr(51), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1161 - 1113) + '\x6f' + chr(0b110101) + chr(48), 61599 - 61591)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'b'), '\x64' + chr(101) + '\x63' + chr(10388 - 10277) + chr(0b11101 + 0o107) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + '\x2d' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def PGNrezus7XpS(): zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b"0Y\xf8\x99\xbdV\xe6j2\x82b\n\x9f\xbaf'\x86)\xfb\xbcV \nDe\xfcI\xd65"), chr(2666 - 2566) + '\145' + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b100011 + 0o102))(chr(117) + '\x74' + chr(0b1011101 + 0o11) + '\x2d' + chr(2182 - 2126))) (sW8AagBcZuuj, Fqf3aMH2G9yX) = CghZ0UpvMuCa(xQt6gV9VfTO3) j40appNV3Xf2 = cfvCEGPnvuO8() ipts2yZYR2Lv = p9PQpcvOYWgB() (YpO0BcZ6fMsf, kH_tnwavUjMl, _rGo9yP2RfYr) = AdggjDsahBHJ(j40appNV3Xf2, ipts2yZYR2Lv) YEbXo6J4WAge = CIVheOt0RKQX.nd.ones((PFDxXM_vbSsA.ix9dZyeAmUxY,), ctx=oM3jLo753XfX) zeUXq2mrw7cj = CIVheOt0RKQX.nd.zeros((PFDxXM_vbSsA.ix9dZyeAmUxY,), ctx=oM3jLo753XfX) UyTbk4dY9zDl = CIVheOt0RKQX.metric.Accuracy() zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\x06\xb4\xdd\xfe\x12\xa5 <\xc2)]'), chr(0b111010 + 0o52) + chr(5407 - 5306) + chr(99) + chr(986 - 875) + chr(9302 - 9202) + chr(0b1001111 + 0o26))('\x75' + chr(116) + chr(4860 - 4758) + chr(45) + chr(56))) aw_cqOcSMDBM = zKdiQFzuryNR.now().strftime(xafqLlk3kkUe(SXOLrMavuUCe(b'i-\x8a\x91\xfd$\xee#?\xc9O"\x9a\x94'), chr(0b110000 + 0o64) + chr(0b1010 + 0o133) + chr(345 - 246) + '\157' + '\144' + chr(0b1001101 + 0o30))(chr(0b101111 + 0o106) + chr(0b1100000 + 0o24) + chr(0b1100110) + chr(45) + chr(0b111000))) ZdP978XkGspL = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1950 - 1902), 7799 - 7791) XU25k1N1NWRv = [] kUrgowv4Gx7I = [] Ypq72vJuxhCP = [] for LWTVW06OsTjl in vQr8gNKaIaWE(xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'"\x11\xa5\xdb\xf3\x13'), '\x64' + '\x65' + chr(0b1100011) + chr(111) + chr(100) + chr(0b100 + 0o141))(chr(1148 - 1031) + '\164' + chr(0b1100110) + '\055' + '\x38'))): yTo1Kl5FmnsP = ltvhPP4VhXre.time() HZj_FqZsTYn8 = ltvhPP4VhXre.time() for (ULnjp6D6efFH, VNGQdHSFPrso) in sW8AagBcZuuj: ULnjp6D6efFH = ULnjp6D6efFH.as_in_context(oM3jLo753XfX) MudPQU2D1pmv = CIVheOt0RKQX.nd.random.normal(ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(48), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 8), shape=(PFDxXM_vbSsA.ix9dZyeAmUxY, DjkzDmh1Z6rX, ehT0Px3KOsy9(chr(48) + chr(0b101101 + 0o102) + chr(49), 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + '\061', 8)), ctx=oM3jLo753XfX) with xafqLlk3kkUe(EGX9rjIuh37Q, xafqLlk3kkUe(SXOLrMavuUCe(b'>\x11\xb6\xdb\xe2\x1f'), chr(0b1000101 + 0o37) + chr(0b1100101) + chr(99) + '\157' + '\144' + chr(0b1100101))(chr(117) + '\x74' + chr(0b10101 + 0o121) + '\055' + '\x38'))(): e1jVqMSBZ01Y = ipts2yZYR2Lv(ULnjp6D6efFH) e1jVqMSBZ01Y = e1jVqMSBZ01Y.reshape((PFDxXM_vbSsA.ix9dZyeAmUxY, ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(0b110010), 0o10))) jTsUs9LKAPSj = YpO0BcZ6fMsf(e1jVqMSBZ01Y, YEbXo6J4WAge) xafqLlk3kkUe(UyTbk4dY9zDl, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\x00\x94\xf1\xf95\x81)k\xd8bM'), '\144' + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\x64' + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b10000 + 0o126) + '\x2d' + chr(0b1110 + 0o52)))([YEbXo6J4WAge], [e1jVqMSBZ01Y]) with xafqLlk3kkUe(EGX9rjIuh37Q, xafqLlk3kkUe(SXOLrMavuUCe(b'>\x11\xb6\xdb\xe2\x1f'), '\x64' + '\145' + chr(3084 - 2985) + chr(0b1101111) + chr(9266 - 9166) + '\145')(chr(3614 - 3497) + '\164' + chr(0b11111 + 0o107) + chr(0b1101 + 0o40) + chr(56)))(): QWjGOzz6_ug3 = j40appNV3Xf2(MudPQU2D1pmv) e1jVqMSBZ01Y = ipts2yZYR2Lv(QWjGOzz6_ug3.detach()) e1jVqMSBZ01Y = e1jVqMSBZ01Y.reshape((PFDxXM_vbSsA.ix9dZyeAmUxY, ehT0Px3KOsy9(chr(48) + chr(6143 - 6032) + '\x32', 8))) KF9pC3fK54cb = YpO0BcZ6fMsf(e1jVqMSBZ01Y, zeUXq2mrw7cj) PAZOHtbyTSXw = jTsUs9LKAPSj + KF9pC3fK54cb xafqLlk3kkUe(PAZOHtbyTSXw, xafqLlk3kkUe(SXOLrMavuUCe(b'.\x15\xb6\xdf\xe7\x1a\xb9#'), chr(0b1100100) + '\145' + chr(99) + chr(0b110110 + 0o71) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1101011 + 0o11) + chr(0b1100110) + chr(45) + chr(56)))() xafqLlk3kkUe(UyTbk4dY9zDl, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\x00\x94\xf1\xf95\x81)k\xd8bM'), chr(100) + '\145' + chr(99) + '\157' + chr(100) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b11011 + 0o113) + chr(1883 - 1838) + chr(0b111000)))([zeUXq2mrw7cj], [e1jVqMSBZ01Y]) xafqLlk3kkUe(_rGo9yP2RfYr, xafqLlk3kkUe(SXOLrMavuUCe(b"'0\xa0\xf2\xe3:\xa3\x02s\x98d("), chr(0b1100100) + chr(0b111100 + 0o51) + '\x63' + chr(1115 - 1004) + chr(100) + '\x65')(chr(10955 - 10838) + chr(0b100010 + 0o122) + chr(3735 - 3633) + chr(87 - 42) + '\x38'))(xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'%\x0c\xec\xd0\xca\x02\xae\x06\x7f\xb9\x7f$'), '\x64' + chr(0b1100101) + chr(0b1110 + 0o125) + '\157' + '\x64' + chr(101))(chr(117) + chr(0b1001111 + 0o45) + chr(102) + '\055' + '\070'))) with xafqLlk3kkUe(EGX9rjIuh37Q, xafqLlk3kkUe(SXOLrMavuUCe(b'>\x11\xb6\xdb\xe2\x1f'), chr(0b1010110 + 0o16) + chr(0b1100101) + '\x63' + '\157' + '\144' + '\x65')('\x75' + '\164' + chr(102) + chr(0b11000 + 0o25) + chr(56)))(): e1jVqMSBZ01Y = ipts2yZYR2Lv(QWjGOzz6_ug3) e1jVqMSBZ01Y = e1jVqMSBZ01Y.reshape((-ehT0Px3KOsy9('\x30' + chr(111) + chr(2053 - 2004), 8), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b10001 + 0o41), 8))) hpaYOCuySjrR = YpO0BcZ6fMsf(e1jVqMSBZ01Y, YEbXo6J4WAge) xafqLlk3kkUe(hpaYOCuySjrR, xafqLlk3kkUe(SXOLrMavuUCe(b'.\x15\xb6\xdf\xe7\x1a\xb9#'), chr(0b101111 + 0o65) + '\145' + chr(483 - 384) + '\x6f' + '\144' + chr(675 - 574))('\x75' + chr(0b10010 + 0o142) + chr(9056 - 8954) + chr(0b100000 + 0o15) + chr(0b111000)))() xafqLlk3kkUe(kH_tnwavUjMl, xafqLlk3kkUe(SXOLrMavuUCe(b"'0\xa0\xf2\xe3:\xa3\x02s\x98d("), chr(0b1100001 + 0o3) + '\x65' + '\143' + '\157' + '\x64' + chr(5087 - 4986))(chr(11334 - 11217) + '\x74' + chr(5620 - 5518) + chr(45) + '\x38'))(xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'%\x0c\xec\xd0\xca\x02\xae\x06\x7f\xb9\x7f$'), chr(100) + '\x65' + chr(9206 - 9107) + '\157' + chr(2486 - 2386) + '\145')(chr(117) + chr(116) + chr(8673 - 8571) + '\x2d' + chr(0b111000)))) (AIvJRzLdDfgF, jIDym3yABcdT) = UyTbk4dY9zDl.get() xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1fC\x9d\xcc\xe5\x18\xacpx\x80]\x16'), chr(0b1100100) + chr(7065 - 6964) + '\x63' + chr(0b1101111) + chr(1695 - 1595) + '\x65')(chr(117) + chr(0b1000111 + 0o55) + '\146' + chr(0b11101 + 0o20) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b"(\x1d\xa6\xd7\xe2\x12\xa6.|\x8ds\x12\xcd\xf9b)\x9b=\xbe\xf2W$MId\xba\r\x99qn(\x803\xf0\xae|\xcb_0\xc3qT\xf0\xd2\xbc[\xa9.|\x8du\x04\x9f\xad|'\x81 \xf7\xa1\x10!J\x06'\xfdU\xd71zi\x95(\xa2\xe7d\xc1^c\xc6(T\xb0\xc4\xff\x18\xa3g7\x88"), '\x64' + chr(4994 - 4893) + '\x63' + chr(0b1001 + 0o146) + chr(0b1100 + 0o130) + chr(0b1000 + 0o135))(chr(3155 - 3038) + chr(0b1110100) + '\146' + '\x2d' + chr(56)), xafqLlk3kkUe(CIVheOt0RKQX.nd.mean(PAZOHtbyTSXw), xafqLlk3kkUe(SXOLrMavuUCe(b'-\x07\xa6\xd7\xf1\x17\xaa5'), chr(0b1100100) + chr(9966 - 9865) + chr(0b100001 + 0o102) + '\x6f' + chr(141 - 41) + '\x65')(chr(0b11111 + 0o126) + '\164' + '\146' + chr(692 - 647) + chr(56)))(), xafqLlk3kkUe(CIVheOt0RKQX.nd.mean(hpaYOCuySjrR), xafqLlk3kkUe(SXOLrMavuUCe(b'-\x07\xa6\xd7\xf1\x17\xaa5'), '\144' + '\145' + chr(7951 - 7852) + chr(0b10101 + 0o132) + '\x64' + '\145')('\165' + chr(0b100 + 0o160) + '\x66' + chr(1289 - 1244) + chr(1567 - 1511)))(), jIDym3yABcdT, ZdP978XkGspL, LWTVW06OsTjl) if ZdP978XkGspL % qsTwAFxj_6xe == ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000), 8): DF3PlOL9iqUW(xafqLlk3kkUe(SXOLrMavuUCe(b'+\x1b\xa0\xc0'), chr(0b1100100) + '\145' + chr(8637 - 8538) + '\157' + '\x64' + '\145')(chr(9865 - 9748) + chr(8673 - 8557) + '\x66' + chr(0b101001 + 0o4) + '\x38'), xafqLlk3kkUe(QWjGOzz6_ug3, xafqLlk3kkUe(SXOLrMavuUCe(b'-\x07\xbb\xc1\xfd\x0b\xb2'), chr(0b1100100) + '\145' + '\143' + chr(0b100 + 0o153) + chr(2364 - 2264) + chr(101))('\x75' + '\x74' + '\x66' + chr(977 - 932) + '\070'))(), name=xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\x1b\x82\xec\xea\x0f\x9d\t|\x9dO;'), chr(9551 - 9451) + chr(2887 - 2786) + '\143' + '\x6f' + '\x64' + '\x65')(chr(0b111000 + 0o75) + '\164' + chr(0b1001 + 0o135) + chr(0b101101) + chr(2266 - 2210)))(e8QW6e1h9GO5, xafqLlk3kkUe(SXOLrMavuUCe(b'*\x15\xbe\xd1\xcf\x12\xa6 M\x85s\x18\xcd\x86+"\xc6>\xf0\xa8'), chr(100) + chr(1954 - 1853) + '\x63' + chr(111) + chr(0b101001 + 0o73) + '\145')('\165' + '\x74' + chr(0b1100110) + '\055' + '\070') % ZdP978XkGspL)) DF3PlOL9iqUW(xafqLlk3kkUe(SXOLrMavuUCe(b'(\x15\xa1\xd5'), chr(100) + '\x65' + '\143' + '\x6f' + chr(3913 - 3813) + '\x65')(chr(117) + chr(5340 - 5224) + '\x66' + chr(0b1111 + 0o36) + '\x38'), xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'-\x07\xbb\xc1\xfd\x0b\xb2'), '\144' + '\x65' + chr(99) + chr(12150 - 12039) + chr(7005 - 6905) + chr(1129 - 1028))(chr(0b1110101) + '\x74' + '\x66' + chr(0b101101) + chr(0b111000)))(), name=xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\x1b\x82\xec\xea\x0f\x9d\t|\x9dO;'), chr(0b1011 + 0o131) + '\145' + chr(0b10001 + 0o122) + chr(0b1101111) + chr(100) + chr(0b1100011 + 0o2))(chr(0b111101 + 0o70) + chr(116) + '\x66' + chr(0b101101) + '\070'))(e8QW6e1h9GO5, xafqLlk3kkUe(SXOLrMavuUCe(b'>\x11\xb4\xd8\xcf\x12\xa6 M\x85s\x18\xcd\x86+"\xc6>\xf0\xa8'), chr(0b1100100) + chr(0b1000001 + 0o44) + '\x63' + '\157' + chr(0b101001 + 0o73) + chr(0b1100101))(chr(0b1100111 + 0o16) + '\164' + '\x66' + chr(0b10010 + 0o33) + chr(0b11001 + 0o37)) % ZdP978XkGspL)) xafqLlk3kkUe(XU25k1N1NWRv, xafqLlk3kkUe(SXOLrMavuUCe(b'-\x04\xa5\xd1\xfe\x1f'), '\144' + '\x65' + chr(0b1100011) + chr(5021 - 4910) + chr(100) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(828 - 783) + '\x38'))(PAZOHtbyTSXw) xafqLlk3kkUe(kUrgowv4Gx7I, xafqLlk3kkUe(SXOLrMavuUCe(b'-\x04\xa5\xd1\xfe\x1f'), '\144' + '\x65' + chr(0b11 + 0o140) + '\157' + chr(0b1100100) + chr(101))('\165' + chr(0b1010101 + 0o37) + chr(102) + chr(0b101101) + chr(0b111000)))(hpaYOCuySjrR) if xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'%\x1a\xb6\xd1\xe0\x0f\xa2(|\xb3t\x1e\xd0\xabk'), chr(0b1001 + 0o133) + chr(0b1100101) + '\x63' + chr(11092 - 10981) + chr(100) + chr(101))('\x75' + '\164' + chr(102) + chr(0b101101) + '\x38')): (n9fd4FsgoqFs, VNGQdHSFPrso) = q7XxPeoIXaTg(QWjGOzz6_ug3) xafqLlk3kkUe(Ypq72vJuxhCP, xafqLlk3kkUe(SXOLrMavuUCe(b'-\x04\xa5\xd1\xfe\x1f'), '\144' + chr(101) + chr(1351 - 1252) + '\157' + '\x64' + chr(0b11110 + 0o107))('\x75' + '\x74' + chr(0b10010 + 0o124) + '\055' + chr(56)))(n9fd4FsgoqFs) ZdP978XkGspL = ZdP978XkGspL + ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b10001 + 0o136) + '\x31', 8) HZj_FqZsTYn8 = ltvhPP4VhXre.time() (AIvJRzLdDfgF, jIDym3yABcdT) = UyTbk4dY9zDl.get() xafqLlk3kkUe(UyTbk4dY9zDl, xafqLlk3kkUe(SXOLrMavuUCe(b'>\x11\xa6\xd1\xe4'), '\x64' + chr(101) + chr(99) + chr(0b111110 + 0o61) + chr(100) + chr(101))('\165' + chr(116) + '\x66' + chr(0b101101) + chr(0b111000)))() xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1fC\x9d\xcc\xe5\x18\xacpx\x80]\x16'), chr(100) + chr(101) + chr(0b1100011) + chr(2468 - 2357) + chr(0b1011 + 0o131) + chr(3379 - 3278))(chr(0b1000101 + 0o60) + chr(0b1001100 + 0o50) + chr(102) + chr(1783 - 1738) + chr(0b110001 + 0o7)))(xafqLlk3kkUe(SXOLrMavuUCe(b'F\x16\xbc\xda\xf1\t\xb2gf\x9ef\x14\xd1\xb0`!\xc8/\xfd\xacW`_E!\xad\x07\x94|<l\x90f\xa2\xabc\x99\t%'), chr(8341 - 8241) + '\145' + chr(99) + chr(111) + chr(100) + chr(0b111001 + 0o54))('\165' + chr(2308 - 2192) + chr(102) + chr(0b1100 + 0o41) + chr(0b101101 + 0o13)), LWTVW06OsTjl, AIvJRzLdDfgF, jIDym3yABcdT) xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1fC\x9d\xcc\xe5\x18\xacpx\x80]\x16'), chr(4838 - 4738) + chr(101) + '\x63' + chr(0b1101111) + chr(0b1101 + 0o127) + chr(101))(chr(117) + chr(8240 - 8124) + chr(0b1010111 + 0o17) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'8\x1d\xb8\xd1\xaa[\xee!'), chr(100) + '\145' + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))('\165' + '\x74' + '\146' + '\055' + '\x38'), xafqLlk3kkUe(ltvhPP4VhXre, xafqLlk3kkUe(SXOLrMavuUCe(b'8\x1d\xb8\xd1'), chr(0b1001010 + 0o32) + chr(8024 - 7923) + chr(101 - 2) + chr(111) + chr(0b1100100) + '\145')('\x75' + chr(0b1110100) + chr(7055 - 6953) + chr(45) + '\070'))() - yTo1Kl5FmnsP) if Q4mk5tKpSFZv: xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'?\x15\xa3\xd1\xcf\x0b\xaa5s\x81b\t\xda\xab}'), '\x64' + chr(101) + chr(0b100111 + 0o74) + chr(2545 - 2434) + chr(0b1001 + 0o133) + chr(101))(chr(0b1110101) + '\164' + chr(102) + chr(45) + chr(0b1000 + 0o60)))(xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\x1b\x82\xec\xea\x0f\x9d\t|\x9dO;'), chr(100) + chr(3187 - 3086) + chr(4867 - 4768) + '\157' + chr(0b1100100) + '\x65')(chr(0b111010 + 0o73) + '\164' + '\146' + chr(265 - 220) + chr(117 - 61)))(e8QW6e1h9GO5, xafqLlk3kkUe(SXOLrMavuUCe(b'+\x11\xbb\xd1\xe2\x1a\xbf(`\xb3b\r\xd0\xbaf\x19\xcd*\xb0\xbf\x16sJ\x087'), chr(100) + '\145' + chr(99) + '\x6f' + chr(842 - 742) + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + chr(1216 - 1171) + chr(0b111000)) % LWTVW06OsTjl)) xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'?\x15\xa3\xd1\xcf\x0b\xaa5s\x81b\t\xda\xab}'), chr(0b1001001 + 0o33) + chr(0b11011 + 0o112) + chr(0b1100011) + '\157' + '\144' + chr(9643 - 9542))('\x75' + chr(6075 - 5959) + chr(331 - 229) + '\x2d' + '\x38'))(xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\x1b\x82\xec\xea\x0f\x9d\t|\x9dO;'), chr(100) + '\145' + '\143' + chr(4673 - 4562) + chr(0b1001001 + 0o33) + chr(3172 - 3071))(chr(11538 - 11421) + chr(0b111001 + 0o73) + '\x66' + chr(0b101101) + '\070'))(e8QW6e1h9GO5, xafqLlk3kkUe(SXOLrMavuUCe(b'(\x1d\xa6\xd7\xe2\x12\xa6.|\x8ds\x12\xcd\x86k6\x87-\xf6\x90Re\x05\x15%\xaf\t\x9ag'), chr(0b11110 + 0o106) + '\x65' + chr(4534 - 4435) + chr(11947 - 11836) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(9998 - 9882) + '\x66' + '\x2d' + chr(110 - 54)) % LWTVW06OsTjl)) xafqLlk3kkUe(j40appNV3Xf2, xafqLlk3kkUe(SXOLrMavuUCe(b'?\x15\xa3\xd1\xcf\x0b\xaa5s\x81b\t\xda\xab}'), '\x64' + chr(1628 - 1527) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(7732 - 7631))('\x75' + '\164' + chr(0b100000 + 0o106) + chr(45) + '\x38'))(xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\x1b\x82\xec\xea\x0f\x9d\t|\x9dO;'), '\x64' + '\145' + '\143' + chr(0b1101111) + chr(0b11 + 0o141) + chr(350 - 249))(chr(117) + chr(5237 - 5121) + '\x66' + '\055' + chr(56)))(e8QW6e1h9GO5, xafqLlk3kkUe(SXOLrMavuUCe(b'+\x11\xbb\xd1\xe2\x1a\xbf(`\xc2w\x1c\xcd\xb8c5'), '\144' + chr(101) + chr(1932 - 1833) + '\157' + '\x64' + '\145')(chr(3335 - 3218) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(56)))) xafqLlk3kkUe(ipts2yZYR2Lv, xafqLlk3kkUe(SXOLrMavuUCe(b'?\x15\xa3\xd1\xcf\x0b\xaa5s\x81b\t\xda\xab}'), chr(0b1100100) + chr(978 - 877) + chr(2581 - 2482) + chr(3220 - 3109) + chr(100) + '\145')(chr(0b1110101) + chr(116) + '\x66' + '\055' + chr(0b110101 + 0o3)))(xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\x1b\x82\xec\xea\x0f\x9d\t|\x9dO;'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\157' + chr(0b1000100 + 0o40) + chr(0b1100101))(chr(13424 - 13307) + chr(8373 - 8257) + '\x66' + chr(0b11110 + 0o17) + chr(56)))(e8QW6e1h9GO5, xafqLlk3kkUe(SXOLrMavuUCe(b"(\x1d\xa6\xd7\xe2\x12\xa6.|\x8ds\x12\xcd\xf7~'\x9a/\xf3\xbc"), chr(0b100 + 0o140) + chr(8484 - 8383) + '\x63' + chr(0b1101111) + chr(100) + chr(0b111000 + 0o55))(chr(0b110110 + 0o77) + chr(0b1110100) + chr(0b1100110) + chr(507 - 462) + chr(56)))) if xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'%\x1a\xb6\xd1\xe0\x0f\xa2(|\xb3t\x1e\xd0\xabk'), chr(0b110 + 0o136) + '\145' + chr(0b1100011) + '\x6f' + chr(0b110101 + 0o57) + chr(506 - 405))('\165' + chr(0b1100 + 0o150) + chr(0b1100110) + '\x2d' + '\x38')): ZwfefaGZRNHR(Ypq72vJuxhCP)
apache/incubator-mxnet
python/mxnet/log.py
getLogger
def getLogger(name=None, filename=None, filemode=None, level=WARNING): """Gets a customized logger. .. note:: `getLogger` is deprecated. Use `get_logger` instead. """ warnings.warn("getLogger is deprecated, Use get_logger instead.", DeprecationWarning, stacklevel=2) return get_logger(name, filename, filemode, level)
python
def getLogger(name=None, filename=None, filemode=None, level=WARNING): """Gets a customized logger. .. note:: `getLogger` is deprecated. Use `get_logger` instead. """ warnings.warn("getLogger is deprecated, Use get_logger instead.", DeprecationWarning, stacklevel=2) return get_logger(name, filename, filemode, level)
[ "def", "getLogger", "(", "name", "=", "None", ",", "filename", "=", "None", ",", "filemode", "=", "None", ",", "level", "=", "WARNING", ")", ":", "warnings", ".", "warn", "(", "\"getLogger is deprecated, Use get_logger instead.\"", ",", "DeprecationWarning", ",", "stacklevel", "=", "2", ")", "return", "get_logger", "(", "name", ",", "filename", ",", "filemode", ",", "level", ")" ]
Gets a customized logger. .. note:: `getLogger` is deprecated. Use `get_logger` instead.
[ "Gets", "a", "customized", "logger", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/log.py#L80-L88
train
Gets a customized logger.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(0b11110 + 0o23) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(5119 - 5008) + chr(49) + chr(51) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100111 + 0o20) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b11001 + 0o36) + chr(1943 - 1894), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\064' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\064' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(500 - 452) + chr(12070 - 11959) + chr(0b11100 + 0o25) + '\x30' + '\067', 45474 - 45466), ehT0Px3KOsy9(chr(0b110000) + chr(987 - 876) + '\x31' + '\x36' + chr(0b100011 + 0o23), 14514 - 14506), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(55) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(1167 - 1119) + chr(0b100101 + 0o13), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2404 - 2353) + '\x32', 53467 - 53459), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(2465 - 2414) + '\x36' + chr(526 - 474), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8130 - 8019) + chr(0b10101 + 0o34) + chr(0b110010) + '\062', 18719 - 18711), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(52) + chr(317 - 269), 40123 - 40115), ehT0Px3KOsy9(chr(604 - 556) + chr(1751 - 1640) + '\x31' + '\064' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + '\061' + chr(0b101100 + 0o5) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b111 + 0o52) + chr(52) + '\x32', 0o10), ehT0Px3KOsy9(chr(1765 - 1717) + '\157' + '\066' + '\064', 0o10), ehT0Px3KOsy9(chr(1091 - 1043) + chr(0b100010 + 0o115) + chr(0b110101), 26657 - 26649), ehT0Px3KOsy9(chr(75 - 27) + chr(7137 - 7026) + '\x32' + chr(936 - 885), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\067' + chr(238 - 185), 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b101000 + 0o107) + chr(0b101010 + 0o7) + '\x31' + chr(0b110101), 61908 - 61900), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b110101 + 0o72) + '\063' + chr(0b110011) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b101110 + 0o101) + chr(49) + '\x34' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\065' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(92 - 37) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(2351 - 2302) + '\063' + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(755 - 706) + chr(48), 1649 - 1641), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b11111 + 0o22), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(1312 - 1261) + '\x34' + chr(983 - 933), 30184 - 30176), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + '\061' + chr(50) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\063' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + chr(0b110011 + 0o1) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b101001 + 0o14) + '\062', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(1710 - 1662) + '\x37', 8), ehT0Px3KOsy9(chr(2296 - 2248) + '\157' + chr(474 - 425) + chr(53) + chr(51), 34355 - 34347), ehT0Px3KOsy9(chr(757 - 709) + chr(0b1101111) + chr(0b110110) + '\x34', 8), ehT0Px3KOsy9('\060' + chr(2872 - 2761) + chr(930 - 881) + chr(0b110100) + chr(0b101111 + 0o2), 46078 - 46070), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1970 - 1919) + chr(0b110100) + chr(0b110101), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(1350 - 1296), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(6437 - 6326) + chr(0b10000 + 0o45) + chr(0b101000 + 0o10), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b' '), chr(3811 - 3711) + chr(0b11001 + 0o114) + '\143' + chr(11592 - 11481) + chr(0b1100100) + '\145')('\165' + '\x74' + chr(5158 - 5056) + chr(0b101101) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def ZtixIlK6ANkx(AIvJRzLdDfgF=None, xw4DsBfIJ22E=None, wmnCp8OoFMgL=None, K3VjCQe_lvJZ=AFC2JOwJRWUP): xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'`\x1fx\x97\xab\xa4&\x14?\x0eQ\x99'), chr(0b1100100) + chr(101) + chr(0b110101 + 0o56) + chr(111) + '\x64' + chr(0b1010101 + 0o20))(chr(0b1110101) + '\164' + chr(7833 - 7731) + '\055' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'i>I\xb5\x8a\x81 \x13\x0b`s\x87rD\x00>\x10QfrI(\xbbJJ-/m1\x855\xedx\x06(\x0cS\x04\x97&g5N\x8d\x80\x87#X'), '\x64' + chr(101) + '\143' + '\x6f' + '\144' + chr(101))(chr(186 - 69) + '\x74' + chr(102) + chr(45) + '\070'), ker4pIJmdvxf, stacklevel=ehT0Px3KOsy9(chr(154 - 106) + '\x6f' + '\062', 0o10)) return KIFovSuge2oS(AIvJRzLdDfgF, xw4DsBfIJ22E, wmnCp8OoFMgL, K3VjCQe_lvJZ)
apache/incubator-mxnet
python/mxnet/log.py
get_logger
def get_logger(name=None, filename=None, filemode=None, level=WARNING): """Gets a customized logger. Parameters ---------- name: str, optional Name of the logger. filename: str, optional The filename to which the logger's output will be sent. filemode: str, optional The file mode to open the file (corresponding to `filename`), default is 'a' if `filename` is not ``None``. level: int, optional The `logging` level for the logger. See: https://docs.python.org/2/library/logging.html#logging-levels Returns ------- Logger A customized `Logger` object. Example ------- ## get_logger call with default parameters. >>> from mxnet.log import get_logger >>> logger = get_logger("Test") >>> logger.warn("Hello World") W0505 00:29:47 3525 <stdin>:<module>:1] Hello World ## get_logger call with WARNING level. >>> import logging >>> logger = get_logger("Test2", level=logging.WARNING) >>> logger.warn("Hello World") W0505 00:30:50 3525 <stdin>:<module>:1] Hello World >>> logger.debug("Hello World") # This doesn't return anything as the level is logging.WARNING. ## get_logger call with DEBUG level. >>> logger = get_logger("Test3", level=logging.DEBUG) >>> logger.debug("Hello World") # Logs the debug output as the level is logging.DEBUG. D0505 00:31:30 3525 <stdin>:<module>:1] Hello World """ logger = logging.getLogger(name) if name is not None and not getattr(logger, '_init_done', None): logger._init_done = True if filename: mode = filemode if filemode else 'a' hdlr = logging.FileHandler(filename, mode) else: hdlr = logging.StreamHandler() # pylint: disable=redefined-variable-type # the `_Formatter` contain some escape character to # represent color, which is not suitable for FileHandler, # (TODO) maybe we can add another Formatter for FileHandler. hdlr.setFormatter(_Formatter()) logger.addHandler(hdlr) logger.setLevel(level) return logger
python
def get_logger(name=None, filename=None, filemode=None, level=WARNING): """Gets a customized logger. Parameters ---------- name: str, optional Name of the logger. filename: str, optional The filename to which the logger's output will be sent. filemode: str, optional The file mode to open the file (corresponding to `filename`), default is 'a' if `filename` is not ``None``. level: int, optional The `logging` level for the logger. See: https://docs.python.org/2/library/logging.html#logging-levels Returns ------- Logger A customized `Logger` object. Example ------- ## get_logger call with default parameters. >>> from mxnet.log import get_logger >>> logger = get_logger("Test") >>> logger.warn("Hello World") W0505 00:29:47 3525 <stdin>:<module>:1] Hello World ## get_logger call with WARNING level. >>> import logging >>> logger = get_logger("Test2", level=logging.WARNING) >>> logger.warn("Hello World") W0505 00:30:50 3525 <stdin>:<module>:1] Hello World >>> logger.debug("Hello World") # This doesn't return anything as the level is logging.WARNING. ## get_logger call with DEBUG level. >>> logger = get_logger("Test3", level=logging.DEBUG) >>> logger.debug("Hello World") # Logs the debug output as the level is logging.DEBUG. D0505 00:31:30 3525 <stdin>:<module>:1] Hello World """ logger = logging.getLogger(name) if name is not None and not getattr(logger, '_init_done', None): logger._init_done = True if filename: mode = filemode if filemode else 'a' hdlr = logging.FileHandler(filename, mode) else: hdlr = logging.StreamHandler() # pylint: disable=redefined-variable-type # the `_Formatter` contain some escape character to # represent color, which is not suitable for FileHandler, # (TODO) maybe we can add another Formatter for FileHandler. hdlr.setFormatter(_Formatter()) logger.addHandler(hdlr) logger.setLevel(level) return logger
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Gets a customized logger. Parameters ---------- name: str, optional Name of the logger. filename: str, optional The filename to which the logger's output will be sent. filemode: str, optional The file mode to open the file (corresponding to `filename`), default is 'a' if `filename` is not ``None``. level: int, optional The `logging` level for the logger. See: https://docs.python.org/2/library/logging.html#logging-levels Returns ------- Logger A customized `Logger` object. Example ------- ## get_logger call with default parameters. >>> from mxnet.log import get_logger >>> logger = get_logger("Test") >>> logger.warn("Hello World") W0505 00:29:47 3525 <stdin>:<module>:1] Hello World ## get_logger call with WARNING level. >>> import logging >>> logger = get_logger("Test2", level=logging.WARNING) >>> logger.warn("Hello World") W0505 00:30:50 3525 <stdin>:<module>:1] Hello World >>> logger.debug("Hello World") # This doesn't return anything as the level is logging.WARNING. ## get_logger call with DEBUG level. >>> logger = get_logger("Test3", level=logging.DEBUG) >>> logger.debug("Hello World") # Logs the debug output as the level is logging.DEBUG. D0505 00:31:30 3525 <stdin>:<module>:1] Hello World
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/log.py#L90-L145
train
Returns a customized logger 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(0b101001 + 0o7) + chr(111) + chr(0b11100 + 0o26) + chr(0b11010 + 0o30) + chr(0b1001 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1204 - 1155) + chr(1116 - 1064) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5436 - 5325) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110100) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101100 + 0o3) + chr(52) + chr(51), 57904 - 57896), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(0b100000 + 0o21) + chr(0b110001) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(0b11001 + 0o32) + chr(0b101000 + 0o15) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(2172 - 2061) + chr(0b110011) + chr(2058 - 2006) + '\x33', 61505 - 61497), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10100 + 0o37) + chr(0b110111) + chr(50), 29208 - 29200), ehT0Px3KOsy9(chr(248 - 200) + chr(111) + chr(50) + '\064' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(0b110010 + 0o1) + chr(49) + chr(451 - 403), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2033 - 1980) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110001) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111 + 0o150) + '\061' + '\062', 0o10), ehT0Px3KOsy9(chr(1010 - 962) + chr(111) + chr(0b100001 + 0o22) + chr(0b110011) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2323 - 2273) + '\060' + chr(55), 14424 - 14416), ehT0Px3KOsy9('\x30' + chr(6880 - 6769) + '\x31' + chr(1953 - 1905) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2190 - 2079) + chr(2189 - 2139) + chr(52) + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x35' + '\062', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(774 - 723) + chr(54) + chr(54), 26075 - 26067), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(2082 - 2027) + '\060', 46962 - 46954), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b11011 + 0o124) + chr(49) + '\x35' + '\061', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1100111 + 0o10) + chr(52) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001000 + 0o47) + chr(50) + chr(0b110100) + chr(0b110 + 0o57), 8), ehT0Px3KOsy9('\x30' + chr(9183 - 9072) + '\062' + chr(0b1000 + 0o54) + chr(51), 4099 - 4091), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\x31' + chr(841 - 787), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(2356 - 2245) + '\x33' + '\x37' + chr(1370 - 1319), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(943 - 892) + '\x37', 24182 - 24174), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101100 + 0o5) + chr(55) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b110100) + '\061', 58928 - 58920), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(1458 - 1407) + chr(0b110011 + 0o3) + chr(0b10000 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(2138 - 2090) + chr(0b1101111) + chr(49) + chr(0b101100 + 0o6) + chr(51), 19081 - 19073), ehT0Px3KOsy9(chr(1599 - 1551) + chr(10596 - 10485) + chr(0b11111 + 0o22) + chr(55) + '\062', 51292 - 51284), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100111 + 0o14) + '\x31' + chr(2104 - 2054), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1388 - 1277) + chr(0b110111) + '\x30', 26268 - 26260), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + chr(1086 - 1035) + chr(53) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100 + 0o153) + '\064', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10000 + 0o42) + '\x32' + chr(0b110000 + 0o6), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100001 + 0o21) + '\x35' + '\062', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(2154 - 2101) + '\060', 15448 - 15440)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe'), chr(6236 - 6136) + chr(5472 - 5371) + chr(0b100111 + 0o74) + '\x6f' + chr(100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + '\x2d' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def KIFovSuge2oS(AIvJRzLdDfgF=None, xw4DsBfIJ22E=None, wmnCp8OoFMgL=None, K3VjCQe_lvJZ=AFC2JOwJRWUP): hdK8qOUhR6Or = UeotCCWOPSQS.getLogger(AIvJRzLdDfgF) if AIvJRzLdDfgF is not None and (not xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\x0cja\xd1|,\x85\x8d\x9f'), '\144' + chr(0b1011000 + 0o15) + chr(0b101001 + 0o72) + chr(111) + chr(9198 - 9098) + '\145')(chr(5404 - 5287) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b111000)), None)): hdK8qOUhR6Or.KOEdl_sTl39O = ehT0Px3KOsy9('\060' + '\x6f' + '\x31', 0o10) if xw4DsBfIJ22E: holLFgwB7vsP = wmnCp8OoFMgL if wmnCp8OoFMgL else xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1'), chr(0b1100100) + '\145' + '\143' + '\157' + chr(100) + '\x65')(chr(0b111011 + 0o72) + '\164' + chr(0b1100010 + 0o4) + chr(694 - 649) + chr(313 - 257)) XEOc07qcT9Tz = UeotCCWOPSQS.FileHandler(xw4DsBfIJ22E, holLFgwB7vsP) else: XEOc07qcT9Tz = UeotCCWOPSQS.StreamHandler() xafqLlk3kkUe(XEOc07qcT9Tz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\x00pN\xcaQ%\x8b\x97\x8e\xc4\xba'), chr(1870 - 1770) + chr(0b1100101) + chr(0b10110 + 0o115) + chr(0b1100 + 0o143) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1000010 + 0o44) + chr(0b101101 + 0o0) + '\x38'))(vIEj4EX0s9Ls()) xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\x01`@\xc4M,\x86\x86\x88'), chr(0b1010011 + 0o21) + chr(0b10111 + 0o116) + '\143' + chr(0b1101111) + chr(100) + chr(101))(chr(0b1100100 + 0o21) + '\164' + chr(0b1100011 + 0o3) + chr(0b100110 + 0o7) + chr(0b10000 + 0o50)))(XEOc07qcT9Tz) xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\x00pD\xc0U-\x86'), '\144' + chr(0b1100101) + chr(8269 - 8170) + chr(0b1001100 + 0o43) + chr(9385 - 9285) + chr(209 - 108))('\x75' + chr(116) + '\146' + chr(0b100011 + 0o12) + chr(1793 - 1737)))(K3VjCQe_lvJZ) return hdK8qOUhR6Or
apache/incubator-mxnet
example/gluon/sn_gan/data.py
transformer
def transformer(data, label): """ data preparation """ data = mx.image.imresize(data, IMAGE_SIZE, IMAGE_SIZE) data = mx.nd.transpose(data, (2, 0, 1)) data = data.astype(np.float32) / 128.0 - 1 return data, label
python
def transformer(data, label): """ data preparation """ data = mx.image.imresize(data, IMAGE_SIZE, IMAGE_SIZE) data = mx.nd.transpose(data, (2, 0, 1)) data = data.astype(np.float32) / 128.0 - 1 return data, label
[ "def", "transformer", "(", "data", ",", "label", ")", ":", "data", "=", "mx", ".", "image", ".", "imresize", "(", "data", ",", "IMAGE_SIZE", ",", "IMAGE_SIZE", ")", "data", "=", "mx", ".", "nd", ".", "transpose", "(", "data", ",", "(", "2", ",", "0", ",", "1", ")", ")", "data", "=", "data", ".", "astype", "(", "np", ".", "float32", ")", "/", "128.0", "-", "1", "return", "data", ",", "label" ]
data preparation
[ "data", "preparation" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/sn_gan/data.py#L30-L35
train
data preparation
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(2414 - 2364) + chr(2147 - 2098) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4997 - 4886) + chr(0b110110) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + '\061' + chr(286 - 232) + chr(0b1110 + 0o47), 33013 - 33005), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(11816 - 11705) + chr(1015 - 964) + '\x33' + chr(0b110000), 23295 - 23287), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + chr(669 - 619) + chr(55) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + chr(1455 - 1404) + chr(50) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001011 + 0o44) + chr(0b110010) + '\x32' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b110011 + 0o74) + chr(0b110010) + chr(0b10101 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3641 - 3530) + chr(53) + chr(1635 - 1586), 39451 - 39443), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b11101 + 0o26) + '\063' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010001 + 0o36) + chr(1734 - 1684) + chr(0b100100 + 0o16) + chr(0b10001 + 0o37), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + chr(0b11101 + 0o27), 26532 - 26524), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + '\x33' + chr(0b1000 + 0o51) + chr(606 - 556), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x34' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\065' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + chr(1674 - 1625) + chr(52), 53910 - 53902), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(51) + chr(0b101110 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b11001 + 0o31) + chr(0b11100 + 0o26), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b111 + 0o54) + chr(0b110000) + chr(2389 - 2337), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + chr(51) + chr(2158 - 2104) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b101010 + 0o11) + chr(130 - 77), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + '\065', 3712 - 3704), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b111010 + 0o65) + '\062' + chr(0b110101) + '\x37', 8331 - 8323), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101010 + 0o11) + chr(0b101110 + 0o5) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x37' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + chr(0b101001 + 0o10) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\x33' + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11110 + 0o23) + chr(2051 - 2002) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + '\062' + '\064' + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b1110 + 0o47) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(54) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + '\x33' + chr(914 - 861) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(50) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3253 - 3142) + '\065' + chr(2412 - 2357), ord("\x08")), ehT0Px3KOsy9(chr(293 - 245) + chr(8840 - 8729) + chr(0b110010) + chr(688 - 634) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1797 - 1749) + chr(0b1001001 + 0o46) + '\062' + chr(0b110011) + chr(0b11011 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110001) + chr(2476 - 2421), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + '\063' + '\x30' + '\062', 2706 - 2698), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(842 - 791) + '\066' + chr(2058 - 2009), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5'), chr(9956 - 9856) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(5577 - 5477) + chr(7394 - 7293))(chr(117) + chr(0b1101000 + 0o14) + chr(0b111011 + 0o53) + chr(0b10000 + 0o35) + chr(0b110001 + 0o7)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Nk9m9eKr4iuF(ULnjp6D6efFH, TRUOLFLuD08x): ULnjp6D6efFH = CIVheOt0RKQX.image.imresize(ULnjp6D6efFH, EPpqOcHh7y7J, EPpqOcHh7y7J) ULnjp6D6efFH = CIVheOt0RKQX.nd.transpose(ULnjp6D6efFH, (ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(68 - 20) + chr(111) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1001 + 0o50), 8))) ULnjp6D6efFH = ULnjp6D6efFH.astype(WqUC3KWvYVup.float32) / 128.0 - ehT0Px3KOsy9('\060' + '\x6f' + chr(49), 8) return (ULnjp6D6efFH, TRUOLFLuD08x)
apache/incubator-mxnet
example/gluon/sn_gan/data.py
get_training_data
def get_training_data(batch_size): """ helper function to get dataloader""" return gluon.data.DataLoader( CIFAR10(train=True, transform=transformer), batch_size=batch_size, shuffle=True, last_batch='discard')
python
def get_training_data(batch_size): """ helper function to get dataloader""" return gluon.data.DataLoader( CIFAR10(train=True, transform=transformer), batch_size=batch_size, shuffle=True, last_batch='discard')
[ "def", "get_training_data", "(", "batch_size", ")", ":", "return", "gluon", ".", "data", ".", "DataLoader", "(", "CIFAR10", "(", "train", "=", "True", ",", "transform", "=", "transformer", ")", ",", "batch_size", "=", "batch_size", ",", "shuffle", "=", "True", ",", "last_batch", "=", "'discard'", ")" ]
helper function to get dataloader
[ "helper", "function", "to", "get", "dataloader" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/sn_gan/data.py#L38-L42
train
helper function to get training data
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(4580 - 4469) + chr(0b100 + 0o57) + chr(0b110100) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(575 - 526) + chr(55) + chr(48), 0o10), ehT0Px3KOsy9(chr(2072 - 2024) + chr(0b1101111) + chr(355 - 304) + chr(0b110100) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1434 - 1386) + chr(111) + chr(0b110011 + 0o0) + chr(1800 - 1752), 27829 - 27821), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(395 - 344) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(1623 - 1512) + '\x35' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(7286 - 7175) + chr(1251 - 1202) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(53 - 5) + chr(888 - 777) + '\061' + '\x30' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(610 - 562) + chr(5706 - 5595) + chr(49) + '\061' + chr(0b100001 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\064' + chr(785 - 732), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110010) + chr(1237 - 1185), 46452 - 46444), ehT0Px3KOsy9(chr(1448 - 1400) + '\x6f' + chr(0b101010 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101011 + 0o10) + chr(723 - 669) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9627 - 9516) + chr(51) + chr(54) + chr(0b110011), 30401 - 30393), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(0b110110) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000 + 0o1) + '\x30' + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101011 + 0o4) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(0b110001) + chr(51) + chr(0b101101 + 0o11), 0o10), ehT0Px3KOsy9(chr(48) + chr(7516 - 7405) + '\x31' + '\066' + chr(2027 - 1979), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1100001 + 0o16) + chr(49) + chr(0b11010 + 0o30) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(0b110001) + '\065' + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b100010 + 0o24) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\067' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1011 + 0o144) + '\064' + chr(1949 - 1897), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(49) + chr(2503 - 2449), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(0b110001) + chr(1216 - 1166) + '\x32', 0o10), ehT0Px3KOsy9(chr(1168 - 1120) + chr(0b11010 + 0o125) + '\x33' + chr(1406 - 1351) + chr(48), 7980 - 7972), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(49) + chr(1305 - 1253), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\x37' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1608 - 1560) + chr(0b1101111) + '\x32' + chr(981 - 932), 0o10), ehT0Px3KOsy9(chr(224 - 176) + '\157' + chr(49) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(5734 - 5623) + chr(51) + chr(0b110000 + 0o3) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(2974 - 2919) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(1524 - 1476) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(2080 - 2027) + chr(0b1111 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b110100 + 0o73) + '\063' + chr(0b11111 + 0o25) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b1001 + 0o52) + chr(0b100101 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b100001 + 0o26) + chr(48), 8), ehT0Px3KOsy9(chr(48) + chr(0b11010 + 0o125) + chr(0b10010 + 0o36), 0b1000), ehT0Px3KOsy9(chr(2201 - 2153) + chr(0b1101111) + chr(0b110011) + chr(543 - 492) + chr(0b100100 + 0o23), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb'), chr(1797 - 1697) + chr(0b1001011 + 0o32) + '\143' + '\x6f' + chr(0b110100 + 0o60) + chr(6188 - 6087))(chr(0b1110101) + '\x74' + '\x66' + '\055' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def WyLtzJaMfxlu(ix9dZyeAmUxY): return xafqLlk3kkUe(Bm3NCCYMMXjd.data, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\x19\x92y\xd6Fo$*W'), '\x64' + chr(0b1100101) + '\143' + '\157' + chr(100) + chr(0b1100101))('\x75' + '\164' + chr(0b1100110) + chr(1990 - 1945) + '\x38'))(xTrlstIVCyx0(train=ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(0b101100 + 0o5), 62877 - 62869), transform=Nk9m9eKr4iuF), batch_size=ix9dZyeAmUxY, shuffle=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 8), last_batch=xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\x11\x95{\xfb[j'), chr(0b1001 + 0o133) + chr(101) + '\x63' + chr(0b1101111) + chr(0b100000 + 0o104) + '\x65')(chr(0b111001 + 0o74) + chr(116) + chr(0b1100010 + 0o4) + '\055' + chr(0b111000)))
apache/incubator-mxnet
python/mxnet/gluon/model_zoo/vision/resnet.py
get_resnet
def get_resnet(version, num_layers, pretrained=False, ctx=cpu(), root=os.path.join(base.data_dir(), 'models'), **kwargs): r"""ResNet V1 model from `"Deep Residual Learning for Image Recognition" <http://arxiv.org/abs/1512.03385>`_ paper. ResNet V2 model from `"Identity Mappings in Deep Residual Networks" <https://arxiv.org/abs/1603.05027>`_ paper. Parameters ---------- version : int Version of ResNet. Options are 1, 2. num_layers : int Numbers of layers. Options are 18, 34, 50, 101, 152. pretrained : bool, default False Whether to load the pretrained weights for model. ctx : Context, default CPU The context in which to load the pretrained weights. root : str, default $MXNET_HOME/models Location for keeping the model parameters. """ assert num_layers in resnet_spec, \ "Invalid number of layers: %d. Options are %s"%( num_layers, str(resnet_spec.keys())) block_type, layers, channels = resnet_spec[num_layers] assert version >= 1 and version <= 2, \ "Invalid resnet version: %d. Options are 1 and 2."%version resnet_class = resnet_net_versions[version-1] block_class = resnet_block_versions[version-1][block_type] net = resnet_class(block_class, layers, channels, **kwargs) if pretrained: from ..model_store import get_model_file net.load_parameters(get_model_file('resnet%d_v%d'%(num_layers, version), root=root), ctx=ctx) return net
python
def get_resnet(version, num_layers, pretrained=False, ctx=cpu(), root=os.path.join(base.data_dir(), 'models'), **kwargs): r"""ResNet V1 model from `"Deep Residual Learning for Image Recognition" <http://arxiv.org/abs/1512.03385>`_ paper. ResNet V2 model from `"Identity Mappings in Deep Residual Networks" <https://arxiv.org/abs/1603.05027>`_ paper. Parameters ---------- version : int Version of ResNet. Options are 1, 2. num_layers : int Numbers of layers. Options are 18, 34, 50, 101, 152. pretrained : bool, default False Whether to load the pretrained weights for model. ctx : Context, default CPU The context in which to load the pretrained weights. root : str, default $MXNET_HOME/models Location for keeping the model parameters. """ assert num_layers in resnet_spec, \ "Invalid number of layers: %d. Options are %s"%( num_layers, str(resnet_spec.keys())) block_type, layers, channels = resnet_spec[num_layers] assert version >= 1 and version <= 2, \ "Invalid resnet version: %d. Options are 1 and 2."%version resnet_class = resnet_net_versions[version-1] block_class = resnet_block_versions[version-1][block_type] net = resnet_class(block_class, layers, channels, **kwargs) if pretrained: from ..model_store import get_model_file net.load_parameters(get_model_file('resnet%d_v%d'%(num_layers, version), root=root), ctx=ctx) return net
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r"""ResNet V1 model from `"Deep Residual Learning for Image Recognition" <http://arxiv.org/abs/1512.03385>`_ paper. ResNet V2 model from `"Identity Mappings in Deep Residual Networks" <https://arxiv.org/abs/1603.05027>`_ paper. Parameters ---------- version : int Version of ResNet. Options are 1, 2. num_layers : int Numbers of layers. Options are 18, 34, 50, 101, 152. pretrained : bool, default False Whether to load the pretrained weights for model. ctx : Context, default CPU The context in which to load the pretrained weights. root : str, default $MXNET_HOME/models Location for keeping the model parameters.
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/model_zoo/vision/resnet.py#L359-L392
train
r Returns a new ResNet V1 model with the specified version and number of layers and channels.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b10010 + 0o37) + chr(0b110100) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x36' + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(630 - 581) + '\067' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101101 + 0o4) + chr(0b110010 + 0o4) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + '\x35' + chr(577 - 523), 32227 - 32219), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001 + 0o0) + chr(100 - 45) + chr(1713 - 1659), 8), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(5387 - 5276) + '\062', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\x37' + chr(1590 - 1540), 42295 - 42287), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(254 - 203) + '\x32' + chr(53), 0b1000), ehT0Px3KOsy9(chr(1801 - 1753) + chr(111) + chr(0b110011) + chr(529 - 475) + '\x32', 14259 - 14251), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(50) + chr(0b110100) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b110010) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(12293 - 12182) + chr(0b11101 + 0o25) + '\064' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(10142 - 10031) + chr(0b110010) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000 + 0o147) + chr(53) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(3290 - 3179) + '\x32' + '\x31' + chr(571 - 519), 37699 - 37691), ehT0Px3KOsy9(chr(2222 - 2174) + chr(0b1101111) + '\x33' + '\x31' + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10111 + 0o34) + chr(0b110001) + chr(0b1000 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1187 - 1136) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1412 - 1362) + '\062' + chr(0b110111), 6667 - 6659), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + chr(223 - 172) + chr(52) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b100 + 0o153) + chr(0b110011) + chr(0b101 + 0o56) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4435 - 4324) + '\x32' + chr(52) + '\065', 0b1000), ehT0Px3KOsy9(chr(1494 - 1446) + '\157' + chr(0b110011) + chr(0b100 + 0o56) + '\066', 0b1000), ehT0Px3KOsy9(chr(556 - 508) + '\157' + chr(49) + '\060' + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(8828 - 8717) + chr(2346 - 2297) + chr(0b11101 + 0o25) + '\x36', 39207 - 39199), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(54) + '\x32', 0o10), ehT0Px3KOsy9(chr(821 - 773) + chr(3259 - 3148) + chr(0b110010) + chr(0b110000) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b11101 + 0o26) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1094 - 1046) + chr(0b1010010 + 0o35) + chr(0b100010 + 0o20) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(7385 - 7274) + chr(50) + '\062' + chr(55), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b1 + 0o60) + chr(52), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100100 + 0o15) + '\064' + chr(0b110000 + 0o5), 20331 - 20323), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(0b110110) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(10101 - 9990) + '\x31' + '\x31', 11895 - 11887), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(0b110010) + chr(52) + chr(0b110001), 9243 - 9235), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(651 - 598), 37743 - 37735)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + '\x35' + chr(0b100101 + 0o13), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'M'), chr(100) + chr(101) + chr(0b1100011) + '\157' + '\144' + '\x65')(chr(0b110011 + 0o102) + '\164' + chr(9056 - 8954) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def W2ZVOGihRN1n(cpMfQ_4_Vb7C, uftkTXJyNORO, _zRXz3YBqHFs=ehT0Px3KOsy9(chr(2216 - 2168) + chr(8688 - 8577) + chr(1290 - 1242), 60241 - 60233), oM3jLo753XfX=qg7Ot4FCfBgB(), FiL2Xt3u2AMN=xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'<lc&\nZ(LT\xa4\xba\xe5'), '\144' + chr(8272 - 8171) + '\143' + chr(0b1101111) + chr(2816 - 2716) + chr(0b100000 + 0o105))(chr(6536 - 6419) + chr(714 - 598) + chr(0b1100110) + '\x2d' + '\070'))(xafqLlk3kkUe(XLXqkmM_0GVx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08Ur,4\x1bJ6R\xbc\xad\x92'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + '\x64' + chr(0b1110 + 0o127))('\x75' + chr(0b111101 + 0o67) + chr(0b100111 + 0o77) + chr(1463 - 1418) + '\070'))(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x0elP\x1b\x1c]'), chr(100) + chr(101) + '\x63' + '\x6f' + '\x64' + chr(0b1100101))('\165' + chr(0b1110100) + '\146' + '\x2d' + chr(56))), **M8EIoTs2GJXE): assert uftkTXJyNORO in kqfSzzXqsbmm, xafqLlk3kkUe(SXOLrMavuUCe(b'*mB\x1f\x1cG\x1a"T\xa0\x9f\xc15\xd52G\xea\xef\xa0~\xee\x86\xa8e\x9f\xf6g2\x1c\xa4\x96xc\xfe\xa3\x0bE)\xc0g\x06#\x11\r'), chr(7409 - 7309) + '\x65' + chr(6910 - 6811) + chr(0b101 + 0o152) + '\x64' + chr(101))('\x75' + chr(116) + chr(5030 - 4928) + '\x2d' + chr(56)) % (uftkTXJyNORO, M8_cKLkHVB2V(xafqLlk3kkUe(kqfSzzXqsbmm, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08fM\r'), '\x64' + '\145' + chr(99) + chr(919 - 808) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1010110 + 0o36) + chr(4660 - 4558) + chr(794 - 749) + chr(0b111000)))())) (fvsaWlBgrvZD, sGi5Aql23May, H2MQqAZeamNo) = kqfSzzXqsbmm[uftkTXJyNORO] assert cpMfQ_4_Vb7C >= ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 0o10) and cpMfQ_4_Vb7C <= ehT0Px3KOsy9('\060' + '\157' + chr(0b110010), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'*mB\x1f\x1cG\x1a"H\xb0\x81\xcd5\xd32^\xe9\xbd\xbfv\xf8\x8d\xe06\x80\xb2lv}\xf4\xadax\xf9\xbfEW{\xc45R#U\x10\x14\x0eL,'), '\144' + '\145' + '\x63' + chr(111) + '\x64' + chr(0b1100101))('\165' + chr(0b110101 + 0o77) + chr(0b110010 + 0o64) + '\055' + chr(514 - 458)) % cpMfQ_4_Vb7C ThGibaPiFhAz = NaA17FKTuECo[cpMfQ_4_Vb7C - ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(3535 - 3424) + chr(0b110001), 8)] OFYzGogWvmZ3 = KzxtzszqS0jc[cpMfQ_4_Vb7C - ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(49), 8)][fvsaWlBgrvZD] DyzboKL9cczb = ThGibaPiFhAz(OFYzGogWvmZ3, sGi5Aql23May, H2MQqAZeamNo, **M8EIoTs2GJXE) if _zRXz3YBqHFs: (ommtvGSdVMxm,) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0elP\x1b\x1cq\rvU\xa7\x97'), chr(0b1000001 + 0o43) + chr(7263 - 7162) + chr(9422 - 9323) + '\x6f' + chr(100) + chr(0b1011001 + 0o14))(chr(0b100110 + 0o117) + chr(0b1110100) + chr(102) + chr(518 - 473) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x04f@!\x1dA\x1agV\x8a\x94\xca<\xc2'), '\x64' + chr(177 - 76) + chr(0b1100011) + chr(111) + '\144' + '\x65')('\165' + '\x74' + chr(308 - 206) + chr(0b101101) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x04f@!\x1dA\x1agV\x8a\x94\xca<\xc2'), chr(100) + '\x65' + chr(0b1100011) + '\x6f' + chr(0b110100 + 0o60) + chr(0b1100101))(chr(8961 - 8844) + chr(116) + chr(102) + chr(0b101101) + chr(0b100110 + 0o22))),) xafqLlk3kkUe(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0flU\x1a/^\x1fp[\xb8\x97\xd75\xd5a'), '\x64' + chr(101) + '\143' + chr(0b11000 + 0o127) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b11011 + 0o22) + chr(0b111000)))(ommtvGSdVMxm(xafqLlk3kkUe(SXOLrMavuUCe(b'\x11fG\x10\x15Z[fe\xa3\xd7\xc7'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1010001 + 0o24))('\165' + '\164' + chr(8255 - 8153) + chr(0b101101) + chr(56)) % (uftkTXJyNORO, cpMfQ_4_Vb7C), root=FiL2Xt3u2AMN), ctx=oM3jLo753XfX) return DyzboKL9cczb
apache/incubator-mxnet
python/mxnet/symbol/random.py
_random_helper
def _random_helper(random, sampler, params, shape, dtype, kwargs): """Helper function for random generators.""" if isinstance(params[0], Symbol): for i in params[1:]: assert isinstance(i, Symbol), \ "Distribution parameters must all have the same type, but got " \ "both %s and %s."%(type(params[0]), type(i)) return sampler(*params, shape=shape, dtype=dtype, **kwargs) elif isinstance(params[0], numeric_types): for i in params[1:]: assert isinstance(i, numeric_types), \ "Distribution parameters must all have the same type, but got " \ "both %s and %s."%(type(params[0]), type(i)) return random(*params, shape=shape, dtype=dtype, **kwargs) raise ValueError("Distribution parameters must be either Symbol or numbers, " "but got %s."%type(params[0]))
python
def _random_helper(random, sampler, params, shape, dtype, kwargs): """Helper function for random generators.""" if isinstance(params[0], Symbol): for i in params[1:]: assert isinstance(i, Symbol), \ "Distribution parameters must all have the same type, but got " \ "both %s and %s."%(type(params[0]), type(i)) return sampler(*params, shape=shape, dtype=dtype, **kwargs) elif isinstance(params[0], numeric_types): for i in params[1:]: assert isinstance(i, numeric_types), \ "Distribution parameters must all have the same type, but got " \ "both %s and %s."%(type(params[0]), type(i)) return random(*params, shape=shape, dtype=dtype, **kwargs) raise ValueError("Distribution parameters must be either Symbol or numbers, " "but got %s."%type(params[0]))
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Helper function for random generators.
[ "Helper", "function", "for", "random", "generators", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/symbol/random.py#L29-L45
train
Helper function for random generators.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + chr(575 - 526), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b11101 + 0o122) + chr(51) + '\063' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(3942 - 3831) + chr(51) + chr(0b110111) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1566 - 1518) + '\x6f' + chr(0b110011) + chr(0b1011 + 0o54), 0b1000), ehT0Px3KOsy9(chr(2132 - 2084) + chr(0b1101111) + '\x31' + chr(470 - 422) + chr(1371 - 1318), 38469 - 38461), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b10110 + 0o37) + chr(0b101111 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x31' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b0 + 0o61) + chr(48) + chr(0b11011 + 0o32), 8), ehT0Px3KOsy9('\x30' + chr(9959 - 9848) + chr(286 - 237) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\x36', 51117 - 51109), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\x32' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(55) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + chr(50) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1557 - 1509) + chr(0b1101111) + chr(51) + chr(1688 - 1634), 17428 - 17420), ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(11491 - 11380) + chr(0b110100) + '\x34', 55468 - 55460), ehT0Px3KOsy9(chr(2095 - 2047) + '\x6f' + chr(0b100100 + 0o17) + chr(2480 - 2428) + chr(0b110110), 41747 - 41739), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(52) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + chr(0b100111 + 0o12) + '\x33' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1897 - 1846) + chr(1207 - 1157) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\x31' + chr(0b110001 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(53) + '\x32', 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + '\x34' + chr(793 - 738), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + '\061' + chr(54) + chr(53), 64064 - 64056), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110010) + chr(765 - 713), 32353 - 32345), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(1070 - 1019) + chr(0b10001 + 0o46), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(63 - 11) + chr(0b110101), 8), ehT0Px3KOsy9(chr(749 - 701) + chr(0b1011100 + 0o23) + chr(1813 - 1763) + '\060' + chr(0b11011 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11 + 0o56) + chr(55) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(809 - 760) + chr(2192 - 2143) + chr(0b110001 + 0o0), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(49) + '\061' + chr(55), 45956 - 45948), ehT0Px3KOsy9(chr(2166 - 2118) + chr(0b1000 + 0o147) + chr(0b101101 + 0o6) + chr(0b10010 + 0o41) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2725 - 2672) + chr(314 - 264), 8), ehT0Px3KOsy9(chr(1020 - 972) + '\x6f' + chr(0b110011 + 0o1) + chr(0b0 + 0o66), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000 + 0o7) + '\061', 33915 - 33907), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x34' + chr(0b1010 + 0o54), 8), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\064', 8), ehT0Px3KOsy9(chr(171 - 123) + '\157' + chr(273 - 223) + chr(49) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1324 - 1270) + chr(558 - 507), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110 + 0o53) + '\065' + '\x35', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(0b1011 + 0o52) + chr(0b11 + 0o55), 17242 - 17234)] 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) + chr(0b1100100) + '\x65')('\x75' + chr(12251 - 12135) + chr(0b1100110) + '\x2d' + chr(644 - 588)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def zEgpS9Zk7oLa(drxw09AdRdci, FhX1mYZXXcHE, nEbJZ4wfte2w, nauYfLglTpcb, jSV9IKnemH7K, M8EIoTs2GJXE): if PlSM16l2KDPD(nEbJZ4wfte2w[ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1011 + 0o45), 43688 - 43680)], QHVwKuipVZQE): for WVxHKyX45z_L in nEbJZ4wfte2w[ehT0Px3KOsy9(chr(1456 - 1408) + chr(1979 - 1868) + chr(1637 - 1588), 8):]: assert PlSM16l2KDPD(WVxHKyX45z_L, QHVwKuipVZQE), xafqLlk3kkUe(SXOLrMavuUCe(b'E\xb5\x8ck7C\xaf0~g\xf9\x934nJV\x87H<\xa2+XTU9\xaaV\xf6X(#\xb1\nNXPq\xacG\x05d\xfc\x8c~(O\xed1s~\xf3\xd14|^P\xc6B6\xa2nHH\x01<\xff\x00\xf1X(!\xb9\n\x03J\x08'), chr(8416 - 8316) + chr(9624 - 9523) + '\x63' + '\x6f' + '\x64' + '\x65')('\165' + chr(116) + chr(0b101011 + 0o73) + chr(45) + chr(0b111000)) % (wmQmyeWBmUpv(nEbJZ4wfte2w[ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000), 8)]), wmQmyeWBmUpv(WVxHKyX45z_L)) return FhX1mYZXXcHE(*nEbJZ4wfte2w, shape=nauYfLglTpcb, dtype=jSV9IKnemH7K, **M8EIoTs2GJXE) elif PlSM16l2KDPD(nEbJZ4wfte2w[ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + '\060', 8)], _oZ7ToMS5xAg): for WVxHKyX45z_L in nEbJZ4wfte2w[ehT0Px3KOsy9('\060' + chr(111) + '\061', 8):]: assert PlSM16l2KDPD(WVxHKyX45z_L, _oZ7ToMS5xAg), xafqLlk3kkUe(SXOLrMavuUCe(b'E\xb5\x8ck7C\xaf0~g\xf9\x934nJV\x87H<\xa2+XTU9\xaaV\xf6X(#\xb1\nNXPq\xacG\x05d\xfc\x8c~(O\xed1s~\xf3\xd14|^P\xc6B6\xa2nHH\x01<\xff\x00\xf1X(!\xb9\n\x03J\x08'), chr(0b11000 + 0o114) + '\145' + chr(0b1011011 + 0o10) + chr(111) + '\x64' + chr(0b110 + 0o137))(chr(0b1010001 + 0o44) + '\164' + '\146' + chr(45) + chr(0b110000 + 0o10)) % (wmQmyeWBmUpv(nEbJZ4wfte2w[ehT0Px3KOsy9('\060' + chr(111) + '\x30', 8)]), wmQmyeWBmUpv(WVxHKyX45z_L)) return drxw09AdRdci(*nEbJZ4wfte2w, shape=nauYfLglTpcb, dtype=jSV9IKnemH7K, **M8EIoTs2GJXE) raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'E\xb5\x8ck7C\xaf0~g\xf9\x934nJV\x87H<\xa2+XTU9\xaaV\xf6X+*\xfdOOMNq\xfe\x13>x\xb1\x9dp)\n\xa27*`\xe3\x90v{YW\xca\x05;\xa3:\n@\x1a \xff\x00\xf1V'), chr(100) + '\145' + chr(0b1010101 + 0o16) + chr(0b1101111) + '\144' + '\x65')(chr(0b1110101) + chr(116) + chr(0b1100110 + 0o0) + chr(0b101101) + chr(0b110011 + 0o5)) % wmQmyeWBmUpv(nEbJZ4wfte2w[ehT0Px3KOsy9(chr(48) + chr(6852 - 6741) + '\060', 8)]))
apache/incubator-mxnet
python/mxnet/symbol/random.py
poisson
def poisson(lam=1, shape=_Null, dtype=_Null, **kwargs): """Draw random samples from a Poisson distribution. Samples are distributed according to a Poisson distribution parametrized by *lambda* (rate). Samples will always be returned as a floating point data type. Parameters ---------- lam : float or Symbol, optional Expectation of interval, should be >= 0. shape : int or tuple of ints, optional The number of samples to draw. If shape is, e.g., `(m, n)` and `lam` is a scalar, output shape will be `(m, n)`. If `lam` is an Symbol with shape, e.g., `(x, y)`, then output will have shape `(x, y, m, n)`, where `m*n` samples are drawn for each entry in `lam`. dtype : {'float16', 'float32', 'float64'}, optional Data type of output samples. Default is 'float32' Returns ------- Symbol If input `shape` has dimensions, e.g., `(m, n)`, and `lam` is a scalar, output shape will be `(m, n)`. If `lam` is an Symbol with shape, e.g., `(x, y)`, then output will have shape `(x, y, m, n)`, where `m*n` samples are drawn for each entry in `lam`. """ return _random_helper(_internal._random_poisson, _internal._sample_poisson, [lam], shape, dtype, kwargs)
python
def poisson(lam=1, shape=_Null, dtype=_Null, **kwargs): """Draw random samples from a Poisson distribution. Samples are distributed according to a Poisson distribution parametrized by *lambda* (rate). Samples will always be returned as a floating point data type. Parameters ---------- lam : float or Symbol, optional Expectation of interval, should be >= 0. shape : int or tuple of ints, optional The number of samples to draw. If shape is, e.g., `(m, n)` and `lam` is a scalar, output shape will be `(m, n)`. If `lam` is an Symbol with shape, e.g., `(x, y)`, then output will have shape `(x, y, m, n)`, where `m*n` samples are drawn for each entry in `lam`. dtype : {'float16', 'float32', 'float64'}, optional Data type of output samples. Default is 'float32' Returns ------- Symbol If input `shape` has dimensions, e.g., `(m, n)`, and `lam` is a scalar, output shape will be `(m, n)`. If `lam` is an Symbol with shape, e.g., `(x, y)`, then output will have shape `(x, y, m, n)`, where `m*n` samples are drawn for each entry in `lam`. """ return _random_helper(_internal._random_poisson, _internal._sample_poisson, [lam], shape, dtype, kwargs)
[ "def", "poisson", "(", "lam", "=", "1", ",", "shape", "=", "_Null", ",", "dtype", "=", "_Null", ",", "*", "*", "kwargs", ")", ":", "return", "_random_helper", "(", "_internal", ".", "_random_poisson", ",", "_internal", ".", "_sample_poisson", ",", "[", "lam", "]", ",", "shape", ",", "dtype", ",", "kwargs", ")" ]
Draw random samples from a Poisson distribution. Samples are distributed according to a Poisson distribution parametrized by *lambda* (rate). Samples will always be returned as a floating point data type. Parameters ---------- lam : float or Symbol, optional Expectation of interval, should be >= 0. shape : int or tuple of ints, optional The number of samples to draw. If shape is, e.g., `(m, n)` and `lam` is a scalar, output shape will be `(m, n)`. If `lam` is an Symbol with shape, e.g., `(x, y)`, then output will have shape `(x, y, m, n)`, where `m*n` samples are drawn for each entry in `lam`. dtype : {'float16', 'float32', 'float64'}, optional Data type of output samples. Default is 'float32' Returns ------- Symbol If input `shape` has dimensions, e.g., `(m, n)`, and `lam` is a scalar, output shape will be `(m, n)`. If `lam` is an Symbol with shape, e.g., `(x, y)`, then output will have shape `(x, y, m, n)`, where `m*n` samples are drawn for each entry in `lam`.
[ "Draw", "random", "samples", "from", "a", "Poisson", "distribution", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/symbol/random.py#L116-L143
train
Draw random samples from a Poisson distribution.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(128 - 17) + chr(1530 - 1479) + chr(48) + chr(163 - 109), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1110 + 0o44) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(361 - 312) + chr(0b110011) + chr(0b110101), 43623 - 43615), ehT0Px3KOsy9(chr(0b110000) + chr(1866 - 1755) + '\x32' + '\x32' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b110111) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11000 + 0o36) + chr(0b110110), 25828 - 25820), ehT0Px3KOsy9('\x30' + chr(0b1001111 + 0o40) + chr(0b110010) + chr(52) + '\065', 28772 - 28764), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b110111) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(53) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6863 - 6752) + '\061' + chr(0b110010) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b110111) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\x37' + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(1916 - 1861) + chr(0b1 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9887 - 9776) + chr(0b100011 + 0o16) + '\062' + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(757 - 708) + chr(641 - 593), 53017 - 53009), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b10010 + 0o44) + '\067', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(55) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1396 - 1348) + '\157' + '\062' + chr(0b110001) + chr(1652 - 1600), 59542 - 59534), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + '\064' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10100 + 0o133) + chr(286 - 237) + chr(54) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(11085 - 10974) + chr(935 - 886) + chr(95 - 45), 0b1000), ehT0Px3KOsy9(chr(48) + chr(12156 - 12045) + chr(0b110010) + chr(0b100101 + 0o22) + chr(54), 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(898 - 847) + chr(0b110101) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(50) + chr(0b11000 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100 + 0o57) + '\x36' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2139 - 2028) + chr(0b110011) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\066' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(0b11011 + 0o26) + chr(51) + chr(1237 - 1188), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(54) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b11110 + 0o31) + chr(2308 - 2259), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(54) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(48) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\065' + '\x35', 0o10), ehT0Px3KOsy9(chr(1422 - 1374) + chr(7508 - 7397) + chr(0b110111) + '\x36', 30521 - 30513), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\064' + '\x36', 55514 - 55506), ehT0Px3KOsy9(chr(2061 - 2013) + '\x6f' + chr(0b1111 + 0o43) + '\x34' + '\060', 20280 - 20272), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110111) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(477 - 429) + '\x6f' + '\x31' + '\062', 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + '\x31' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6117 - 6006) + '\x32' + chr(0b111 + 0o57) + '\x30', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8'), chr(9400 - 9300) + chr(0b1100101) + '\143' + chr(1096 - 985) + chr(100) + '\x65')(chr(0b1101110 + 0o7) + chr(0b1110100) + chr(102) + '\x2d' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def wLMZduIOGPva(gfUsilAfUbbE=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000 + 0o1), ord("\x08")), nauYfLglTpcb=GTZITWJXusph, jSV9IKnemH7K=GTZITWJXusph, **M8EIoTs2GJXE): return zEgpS9Zk7oLa(xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\x99b<\xfe\xddY\xc8\xe7\x189\xd7\x8b\n?&'), chr(0b110010 + 0o62) + chr(0b1100100 + 0o1) + chr(0b11000 + 0o113) + chr(111) + '\144' + '\x65')(chr(0b10000 + 0o145) + chr(116) + chr(0b110101 + 0o61) + '\055' + chr(0b111000))), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\x99c<\xfd\xc9Z\xc0\xe7\x189\xd7\x8b\n?&'), '\x64' + chr(101) + chr(99) + chr(0b1101111) + '\x64' + chr(101))(chr(0b1110101) + chr(10055 - 9939) + chr(0b110000 + 0o66) + chr(0b101101) + chr(0b111000))), [gfUsilAfUbbE], nauYfLglTpcb, jSV9IKnemH7K, M8EIoTs2GJXE)
apache/incubator-mxnet
python/mxnet/symbol/random.py
generalized_negative_binomial
def generalized_negative_binomial(mu=1, alpha=1, shape=_Null, dtype=_Null, **kwargs): """Draw random samples from a generalized negative binomial distribution. Samples are distributed according to a generalized negative binomial distribution parametrized by *mu* (mean) and *alpha* (dispersion). *alpha* is defined as *1/k* where *k* is the failure limit of the number of unsuccessful experiments (generalized to real numbers). Samples will always be returned as a floating point data type. Parameters ---------- mu : float or Symbol, optional Mean of the negative binomial distribution. alpha : float or Symbol, optional Alpha (dispersion) parameter of the negative binomial distribution. shape : int or tuple of ints, optional The number of samples to draw. If shape is, e.g., `(m, n)` and `mu` and `alpha` are scalars, output shape will be `(m, n)`. If `mu` and `alpha` are Symbols with shape, e.g., `(x, y)`, then output will have shape `(x, y, m, n)`, where `m*n` samples are drawn for each `[mu, alpha)` pair. dtype : {'float16', 'float32', 'float64'}, optional Data type of output samples. Default is 'float32' Returns ------- Symbol If input `shape` has dimensions, e.g., `(m, n)`, and `mu` and `alpha` are scalars, returned Symbol will resolve to shape `(m, n)`. If `mu` and `alpha` are Symbols with shape, e.g., `(x, y)`, returned Symbol will resolve to shape `(x, y, m, n)`, where `m*n` samples are drawn for each `[mu, alpha)` pair. """ return _random_helper(_internal._random_generalized_negative_binomial, _internal._sample_generalized_negative_binomial, [mu, alpha], shape, dtype, kwargs)
python
def generalized_negative_binomial(mu=1, alpha=1, shape=_Null, dtype=_Null, **kwargs): """Draw random samples from a generalized negative binomial distribution. Samples are distributed according to a generalized negative binomial distribution parametrized by *mu* (mean) and *alpha* (dispersion). *alpha* is defined as *1/k* where *k* is the failure limit of the number of unsuccessful experiments (generalized to real numbers). Samples will always be returned as a floating point data type. Parameters ---------- mu : float or Symbol, optional Mean of the negative binomial distribution. alpha : float or Symbol, optional Alpha (dispersion) parameter of the negative binomial distribution. shape : int or tuple of ints, optional The number of samples to draw. If shape is, e.g., `(m, n)` and `mu` and `alpha` are scalars, output shape will be `(m, n)`. If `mu` and `alpha` are Symbols with shape, e.g., `(x, y)`, then output will have shape `(x, y, m, n)`, where `m*n` samples are drawn for each `[mu, alpha)` pair. dtype : {'float16', 'float32', 'float64'}, optional Data type of output samples. Default is 'float32' Returns ------- Symbol If input `shape` has dimensions, e.g., `(m, n)`, and `mu` and `alpha` are scalars, returned Symbol will resolve to shape `(m, n)`. If `mu` and `alpha` are Symbols with shape, e.g., `(x, y)`, returned Symbol will resolve to shape `(x, y, m, n)`, where `m*n` samples are drawn for each `[mu, alpha)` pair. """ return _random_helper(_internal._random_generalized_negative_binomial, _internal._sample_generalized_negative_binomial, [mu, alpha], shape, dtype, kwargs)
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Draw random samples from a generalized negative binomial distribution. Samples are distributed according to a generalized negative binomial distribution parametrized by *mu* (mean) and *alpha* (dispersion). *alpha* is defined as *1/k* where *k* is the failure limit of the number of unsuccessful experiments (generalized to real numbers). Samples will always be returned as a floating point data type. Parameters ---------- mu : float or Symbol, optional Mean of the negative binomial distribution. alpha : float or Symbol, optional Alpha (dispersion) parameter of the negative binomial distribution. shape : int or tuple of ints, optional The number of samples to draw. If shape is, e.g., `(m, n)` and `mu` and `alpha` are scalars, output shape will be `(m, n)`. If `mu` and `alpha` are Symbols with shape, e.g., `(x, y)`, then output will have shape `(x, y, m, n)`, where `m*n` samples are drawn for each `[mu, alpha)` pair. dtype : {'float16', 'float32', 'float64'}, optional Data type of output samples. Default is 'float32' Returns ------- Symbol If input `shape` has dimensions, e.g., `(m, n)`, and `mu` and `alpha` are scalars, returned Symbol will resolve to shape `(m, n)`. If `mu` and `alpha` are Symbols with shape, e.g., `(x, y)`, returned Symbol will resolve to shape `(x, y, m, n)`, where `m*n` samples are drawn for each `[mu, alpha)` pair.
[ "Draw", "random", "samples", "from", "a", "generalized", "negative", "binomial", "distribution", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/symbol/random.py#L248-L281
train
Draw random samples from a generalized negative binomial distribution.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + chr(2060 - 2009) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b1001 + 0o51) + chr(0b10 + 0o56) + chr(866 - 815), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(963 - 910) + chr(54), 37844 - 37836), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110011) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10110 + 0o131) + chr(50) + chr(0b1100 + 0o45) + chr(0b110001), 22819 - 22811), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(10625 - 10514) + chr(0b100100 + 0o23) + chr(2478 - 2428), 0b1000), ehT0Px3KOsy9(chr(1798 - 1750) + chr(0b101010 + 0o105) + '\065' + chr(1054 - 1004), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b10000 + 0o44), 7199 - 7191), ehT0Px3KOsy9(chr(1879 - 1831) + '\157' + chr(0b1110 + 0o43) + '\064' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1030 - 982) + '\x6f' + chr(0b100011 + 0o17) + '\x31' + chr(1156 - 1102), 53619 - 53611), ehT0Px3KOsy9(chr(1266 - 1218) + '\157' + chr(50) + chr(340 - 289) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1011 + 0o47) + chr(0b110010) + chr(0b11101 + 0o25), 57285 - 57277), ehT0Px3KOsy9(chr(0b110000) + chr(9788 - 9677) + '\061' + chr(53) + chr(2901 - 2846), 43477 - 43469), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b110011) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(1100 - 1050) + '\063', 0o10), ehT0Px3KOsy9(chr(2134 - 2086) + '\157' + '\x32' + '\061' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + chr(1406 - 1356) + chr(0b110011) + '\x36', 8), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(11037 - 10926) + chr(0b110100) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(173 - 124) + chr(51) + chr(0b110 + 0o60), 8), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1010100 + 0o33) + chr(2592 - 2540) + chr(53), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\x31' + chr(0b10010 + 0o41), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(55) + chr(49), 13587 - 13579), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\x34' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(2200 - 2151) + chr(0b101 + 0o62), 45632 - 45624), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x35' + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b100 + 0o153) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(9212 - 9101) + chr(0b11001 + 0o31) + chr(52) + chr(49), 24601 - 24593), ehT0Px3KOsy9(chr(272 - 224) + chr(2342 - 2231) + chr(0b10100 + 0o35) + '\061' + '\x34', 11756 - 11748), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(49) + chr(0b10100 + 0o37), 25735 - 25727), ehT0Px3KOsy9('\060' + chr(11076 - 10965) + chr(2290 - 2240) + chr(1486 - 1435) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(2306 - 2256) + '\061' + '\064', 39621 - 39613), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b100101 + 0o112) + chr(1178 - 1127) + '\x34' + chr(0b10000 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\061' + chr(0b0 + 0o65), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\067' + chr(0b11 + 0o55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b101 + 0o61) + chr(339 - 287), 0o10), ehT0Px3KOsy9(chr(1383 - 1335) + chr(0b1000000 + 0o57) + '\061' + chr(1702 - 1653) + chr(0b11010 + 0o34), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(52) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\062' + '\067' + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\x36' + chr(0b110111), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(1270 - 1159) + chr(1773 - 1720) + '\x30', 55836 - 55828)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'2'), chr(0b1100100) + '\145' + '\143' + chr(0b1101111) + chr(7042 - 6942) + chr(0b1010001 + 0o24))('\165' + chr(10417 - 10301) + chr(0b1100110) + '\x2d' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def FJQpwLBTsCGN(hOLPUi_G8xuS=ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + '\x31', 0b1000), gDUX9w35YHFE=ehT0Px3KOsy9(chr(93 - 45) + chr(0b1100110 + 0o11) + chr(0b11 + 0o56), 8), nauYfLglTpcb=GTZITWJXusph, jSV9IKnemH7K=GTZITWJXusph, **M8EIoTs2GJXE): return zEgpS9Zk7oLa(xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'C\xf1\xcf\xb1\xedUGS\x06\xeb\xf0\xf7\x1d??\xe1\xe4@:z%\x1c\x82\xee_j\xd7)\xd4\xf9\xe5\x8d\xe2U\x1d/\x8c'), chr(0b111010 + 0o52) + chr(3814 - 3713) + '\x63' + chr(0b1010100 + 0o33) + '\x64' + chr(0b100110 + 0o77))(chr(0b1110101) + chr(116) + chr(102) + chr(45) + chr(56))), xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'C\xf0\xcf\xb2\xf9VOS\x06\xeb\xf0\xf7\x1d??\xe1\xe4@:z%\x1c\x82\xee_j\xd7)\xd4\xf9\xe5\x8d\xe2U\x1d/\x8c'), chr(0b101110 + 0o66) + chr(7754 - 7653) + '\x63' + '\x6f' + chr(100) + chr(101))(chr(0b1110101) + '\x74' + '\x66' + chr(0b100 + 0o51) + '\x38')), [hOLPUi_G8xuS, gDUX9w35YHFE], nauYfLglTpcb, jSV9IKnemH7K, M8EIoTs2GJXE)
apache/incubator-mxnet
python/mxnet/symbol/random.py
multinomial
def multinomial(data, shape=_Null, get_prob=True, dtype='int32', **kwargs): """Concurrent sampling from multiple multinomial distributions. .. note:: The input distribution must be normalized, i.e. `data` must sum to 1 along its last dimension. Parameters ---------- data : Symbol An *n* dimensional array whose last dimension has length `k`, where `k` is the number of possible outcomes of each multinomial distribution. For example, data with shape `(m, n, k)` specifies `m*n` multinomial distributions each with `k` possible outcomes. shape : int or tuple of ints, optional The number of samples to draw from each distribution. If shape is empty one sample will be drawn from each distribution. get_prob : bool, optional If true, a second array containing log likelihood of the drawn samples will also be returned. This is usually used for reinforcement learning, where you can provide reward as head gradient w.r.t. this array to estimate gradient. dtype : str or numpy.dtype, optional Data type of the sample output array. The default is int32. Note that the data type of the log likelihood array is the same with that of `data`. Returns ------- Symbol For input `data` with `n` dimensions and shape `(d1, d2, ..., dn-1, k)`, and input `shape` with shape `(s1, s2, ..., sx)`, returns a Symbol that resovles to shape `(d1, d2, ... dn-1, s1, s2, ..., sx)`. The `s1, s2, ... sx` dimensions of the returned Symbol's resolved value will consist of 0-indexed values sampled from each respective multinomial distribution provided in the `k` dimension of `data`. For the case `n`=1, and `x`=1 (one shape dimension), returned Symbol will resolve to shape `(s1,)`. If `get_prob` is set to True, this function returns a Symbol that will resolve to a list of outputs: `[ndarray_output, log_likelihood_output]`, where `log_likelihood_output` will resolve to the same shape as the sampled outputs in ndarray_output. """ return _internal._sample_multinomial(data, shape, get_prob, dtype=dtype, **kwargs)
python
def multinomial(data, shape=_Null, get_prob=True, dtype='int32', **kwargs): """Concurrent sampling from multiple multinomial distributions. .. note:: The input distribution must be normalized, i.e. `data` must sum to 1 along its last dimension. Parameters ---------- data : Symbol An *n* dimensional array whose last dimension has length `k`, where `k` is the number of possible outcomes of each multinomial distribution. For example, data with shape `(m, n, k)` specifies `m*n` multinomial distributions each with `k` possible outcomes. shape : int or tuple of ints, optional The number of samples to draw from each distribution. If shape is empty one sample will be drawn from each distribution. get_prob : bool, optional If true, a second array containing log likelihood of the drawn samples will also be returned. This is usually used for reinforcement learning, where you can provide reward as head gradient w.r.t. this array to estimate gradient. dtype : str or numpy.dtype, optional Data type of the sample output array. The default is int32. Note that the data type of the log likelihood array is the same with that of `data`. Returns ------- Symbol For input `data` with `n` dimensions and shape `(d1, d2, ..., dn-1, k)`, and input `shape` with shape `(s1, s2, ..., sx)`, returns a Symbol that resovles to shape `(d1, d2, ... dn-1, s1, s2, ..., sx)`. The `s1, s2, ... sx` dimensions of the returned Symbol's resolved value will consist of 0-indexed values sampled from each respective multinomial distribution provided in the `k` dimension of `data`. For the case `n`=1, and `x`=1 (one shape dimension), returned Symbol will resolve to shape `(s1,)`. If `get_prob` is set to True, this function returns a Symbol that will resolve to a list of outputs: `[ndarray_output, log_likelihood_output]`, where `log_likelihood_output` will resolve to the same shape as the sampled outputs in ndarray_output. """ return _internal._sample_multinomial(data, shape, get_prob, dtype=dtype, **kwargs)
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Concurrent sampling from multiple multinomial distributions. .. note:: The input distribution must be normalized, i.e. `data` must sum to 1 along its last dimension. Parameters ---------- data : Symbol An *n* dimensional array whose last dimension has length `k`, where `k` is the number of possible outcomes of each multinomial distribution. For example, data with shape `(m, n, k)` specifies `m*n` multinomial distributions each with `k` possible outcomes. shape : int or tuple of ints, optional The number of samples to draw from each distribution. If shape is empty one sample will be drawn from each distribution. get_prob : bool, optional If true, a second array containing log likelihood of the drawn samples will also be returned. This is usually used for reinforcement learning, where you can provide reward as head gradient w.r.t. this array to estimate gradient. dtype : str or numpy.dtype, optional Data type of the sample output array. The default is int32. Note that the data type of the log likelihood array is the same with that of `data`. Returns ------- Symbol For input `data` with `n` dimensions and shape `(d1, d2, ..., dn-1, k)`, and input `shape` with shape `(s1, s2, ..., sx)`, returns a Symbol that resovles to shape `(d1, d2, ... dn-1, s1, s2, ..., sx)`. The `s1, s2, ... sx` dimensions of the returned Symbol's resolved value will consist of 0-indexed values sampled from each respective multinomial distribution provided in the `k` dimension of `data`. For the case `n`=1, and `x`=1 (one shape dimension), returned Symbol will resolve to shape `(s1,)`. If `get_prob` is set to True, this function returns a Symbol that will resolve to a list of outputs: `[ndarray_output, log_likelihood_output]`, where `log_likelihood_output` will resolve to the same shape as the sampled outputs in ndarray_output.
[ "Concurrent", "sampling", "from", "multiple", "multinomial", "distributions", "." ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/symbol/random.py#L284-L325
train
Concurrent sampling from multiple multinomial distributions.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\063' + chr(369 - 320), 0b1000), ehT0Px3KOsy9(chr(1685 - 1637) + '\157' + '\063' + chr(2595 - 2543) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(3160 - 3049) + chr(1178 - 1129) + chr(0b1011 + 0o52), 28915 - 28907), ehT0Px3KOsy9('\x30' + chr(0b1111 + 0o140) + chr(0b110011) + chr(0b1100 + 0o44) + chr(2222 - 2170), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b10010 + 0o135) + chr(51) + '\067' + chr(51), 63909 - 63901), ehT0Px3KOsy9(chr(948 - 900) + chr(0b1101111) + '\x33' + '\060' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(50) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2341 - 2290) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(1853 - 1742) + chr(0b1100 + 0o45) + '\067' + chr(0b1111 + 0o47), 0o10), ehT0Px3KOsy9(chr(1885 - 1837) + '\157' + '\x32' + chr(0b110010) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(10929 - 10818) + chr(51) + chr(0b110100) + chr(0b10010 + 0o40), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7066 - 6955) + chr(54) + chr(1899 - 1847), 50378 - 50370), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + '\x31' + '\x32' + chr(0b11011 + 0o25), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\x35' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + '\061' + chr(1194 - 1143) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b110101) + chr(567 - 519), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100001 + 0o21) + chr(0b11010 + 0o31) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\063' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11001 + 0o32) + '\x35' + chr(52), 53015 - 53007), ehT0Px3KOsy9(chr(421 - 373) + '\157' + chr(0b110011) + '\066' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8975 - 8864) + chr(494 - 442) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + '\x33' + chr(49) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(2651 - 2599) + chr(1016 - 968), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1606 - 1556) + chr(2505 - 2453) + chr(0b100001 + 0o23), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11101 + 0o25) + chr(0b10111 + 0o32), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3519 - 3408) + chr(51) + chr(55) + chr(51), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1010 + 0o50) + chr(0b110101) + chr(793 - 738), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(1365 - 1314) + '\x31' + '\060', 1075 - 1067), ehT0Px3KOsy9('\x30' + chr(10963 - 10852) + chr(49) + '\x31' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1515 - 1466) + chr(874 - 826) + chr(0b101 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(5258 - 5147) + chr(0b110011) + chr(0b100000 + 0o24) + chr(0b10110 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\065' + chr(1613 - 1562), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(2132 - 2082) + chr(0b10110 + 0o36), 2358 - 2350), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b10111 + 0o40) + '\x37', 11831 - 11823), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b110011 + 0o3) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(267 - 217) + chr(0b110010) + '\064', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(479 - 428) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110110) + '\066', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(49) + chr(878 - 825) + chr(51), 9788 - 9780), ehT0Px3KOsy9(chr(1669 - 1621) + '\157' + '\065' + chr(1972 - 1924), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + '\x35' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7'), chr(2331 - 2231) + '\x65' + chr(99) + chr(116 - 5) + chr(100) + chr(0b11100 + 0o111))(chr(117) + chr(8222 - 8106) + chr(0b11010 + 0o114) + chr(45) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def A33HXucA2pZR(ULnjp6D6efFH, nauYfLglTpcb=GTZITWJXusph, J4QcIyROEbW6=ehT0Px3KOsy9(chr(0b110000) + chr(11886 - 11775) + '\x31', 0o10), jSV9IKnemH7K=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\x8ey\xf7\xc9'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1001010 + 0o32) + chr(101))('\x75' + '\164' + chr(0b101100 + 0o72) + '\x2d' + chr(56)), **M8EIoTs2GJXE): return xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\x93l\xa9\x8b\xa9\xf5@\x13\xe6\x8e@9\x072\x85\xf5\xfc\x80'), chr(0b1100100) + '\x65' + chr(7434 - 7335) + chr(111) + chr(0b1100 + 0o130) + '\145')(chr(0b1011 + 0o152) + '\164' + '\146' + chr(0b1 + 0o54) + '\070'))(ULnjp6D6efFH, nauYfLglTpcb, J4QcIyROEbW6, dtype=jSV9IKnemH7K, **M8EIoTs2GJXE)
apache/incubator-mxnet
example/ssd/symbol/legacy_vgg16_ssd_300.py
get_symbol_train
def get_symbol_train(num_classes=20, nms_thresh=0.5, force_suppress=False, nms_topk=400, **kwargs): """ Single-shot multi-box detection with VGG 16 layers ConvNet This is a modified version, with fc6/fc7 layers replaced by conv layers And the network is slightly smaller than original VGG 16 network This is a training network with losses Parameters: ---------- num_classes: int number of object classes not including background nms_thresh : float non-maximum suppression threshold force_suppress : boolean whether suppress different class objects nms_topk : int apply NMS to top K detections Returns: ---------- mx.Symbol """ data = mx.symbol.Variable(name="data") label = mx.symbol.Variable(name="label") # group 1 conv1_1 = mx.symbol.Convolution( data=data, kernel=(3, 3), pad=(1, 1), num_filter=64, name="conv1_1") relu1_1 = mx.symbol.Activation(data=conv1_1, act_type="relu", name="relu1_1") conv1_2 = mx.symbol.Convolution( data=relu1_1, kernel=(3, 3), pad=(1, 1), num_filter=64, name="conv1_2") relu1_2 = mx.symbol.Activation(data=conv1_2, act_type="relu", name="relu1_2") pool1 = mx.symbol.Pooling( data=relu1_2, pool_type="max", kernel=(2, 2), stride=(2, 2), name="pool1") # group 2 conv2_1 = mx.symbol.Convolution( data=pool1, kernel=(3, 3), pad=(1, 1), num_filter=128, name="conv2_1") relu2_1 = mx.symbol.Activation(data=conv2_1, act_type="relu", name="relu2_1") conv2_2 = mx.symbol.Convolution( data=relu2_1, kernel=(3, 3), pad=(1, 1), num_filter=128, name="conv2_2") relu2_2 = mx.symbol.Activation(data=conv2_2, act_type="relu", name="relu2_2") pool2 = mx.symbol.Pooling( data=relu2_2, pool_type="max", kernel=(2, 2), stride=(2, 2), name="pool2") # group 3 conv3_1 = mx.symbol.Convolution( data=pool2, kernel=(3, 3), pad=(1, 1), num_filter=256, name="conv3_1") relu3_1 = mx.symbol.Activation(data=conv3_1, act_type="relu", name="relu3_1") conv3_2 = mx.symbol.Convolution( data=relu3_1, kernel=(3, 3), pad=(1, 1), num_filter=256, name="conv3_2") relu3_2 = mx.symbol.Activation(data=conv3_2, act_type="relu", name="relu3_2") conv3_3 = mx.symbol.Convolution( data=relu3_2, kernel=(3, 3), pad=(1, 1), num_filter=256, name="conv3_3") relu3_3 = mx.symbol.Activation(data=conv3_3, act_type="relu", name="relu3_3") pool3 = mx.symbol.Pooling( data=relu3_3, pool_type="max", kernel=(2, 2), stride=(2, 2), \ pooling_convention="full", name="pool3") # group 4 conv4_1 = mx.symbol.Convolution( data=pool3, kernel=(3, 3), pad=(1, 1), num_filter=512, name="conv4_1") relu4_1 = mx.symbol.Activation(data=conv4_1, act_type="relu", name="relu4_1") conv4_2 = mx.symbol.Convolution( data=relu4_1, kernel=(3, 3), pad=(1, 1), num_filter=512, name="conv4_2") relu4_2 = mx.symbol.Activation(data=conv4_2, act_type="relu", name="relu4_2") conv4_3 = mx.symbol.Convolution( data=relu4_2, kernel=(3, 3), pad=(1, 1), num_filter=512, name="conv4_3") relu4_3 = mx.symbol.Activation(data=conv4_3, act_type="relu", name="relu4_3") pool4 = mx.symbol.Pooling( data=relu4_3, pool_type="max", kernel=(2, 2), stride=(2, 2), name="pool4") # group 5 conv5_1 = mx.symbol.Convolution( data=pool4, kernel=(3, 3), pad=(1, 1), num_filter=512, name="conv5_1") relu5_1 = mx.symbol.Activation(data=conv5_1, act_type="relu", name="relu5_1") conv5_2 = mx.symbol.Convolution( data=relu5_1, kernel=(3, 3), pad=(1, 1), num_filter=512, name="conv5_2") relu5_2 = mx.symbol.Activation(data=conv5_2, act_type="relu", name="relu5_2") conv5_3 = mx.symbol.Convolution( data=relu5_2, kernel=(3, 3), pad=(1, 1), num_filter=512, name="conv5_3") relu5_3 = mx.symbol.Activation(data=conv5_3, act_type="relu", name="relu5_3") pool5 = mx.symbol.Pooling( data=relu5_3, pool_type="max", kernel=(3, 3), stride=(1, 1), pad=(1,1), name="pool5") # group 6 conv6 = mx.symbol.Convolution( data=pool5, kernel=(3, 3), pad=(6, 6), dilate=(6, 6), num_filter=1024, name="conv6") relu6 = mx.symbol.Activation(data=conv6, act_type="relu", name="relu6") # drop6 = mx.symbol.Dropout(data=relu6, p=0.5, name="drop6") # group 7 conv7 = mx.symbol.Convolution( data=relu6, kernel=(1, 1), pad=(0, 0), num_filter=1024, name="conv7") relu7 = mx.symbol.Activation(data=conv7, act_type="relu", name="relu7") # drop7 = mx.symbol.Dropout(data=relu7, p=0.5, name="drop7") ### ssd extra layers ### conv8_1, relu8_1 = legacy_conv_act_layer(relu7, "8_1", 256, kernel=(1,1), pad=(0,0), \ stride=(1,1), act_type="relu", use_batchnorm=False) conv8_2, relu8_2 = legacy_conv_act_layer(relu8_1, "8_2", 512, kernel=(3,3), pad=(1,1), \ stride=(2,2), act_type="relu", use_batchnorm=False) conv9_1, relu9_1 = legacy_conv_act_layer(relu8_2, "9_1", 128, kernel=(1,1), pad=(0,0), \ stride=(1,1), act_type="relu", use_batchnorm=False) conv9_2, relu9_2 = legacy_conv_act_layer(relu9_1, "9_2", 256, kernel=(3,3), pad=(1,1), \ stride=(2,2), act_type="relu", use_batchnorm=False) conv10_1, relu10_1 = legacy_conv_act_layer(relu9_2, "10_1", 128, kernel=(1,1), pad=(0,0), \ stride=(1,1), act_type="relu", use_batchnorm=False) conv10_2, relu10_2 = legacy_conv_act_layer(relu10_1, "10_2", 256, kernel=(3,3), pad=(0,0), \ stride=(1,1), act_type="relu", use_batchnorm=False) conv11_1, relu11_1 = legacy_conv_act_layer(relu10_2, "11_1", 128, kernel=(1,1), pad=(0,0), \ stride=(1,1), act_type="relu", use_batchnorm=False) conv11_2, relu11_2 = legacy_conv_act_layer(relu11_1, "11_2", 256, kernel=(3,3), pad=(0,0), \ stride=(1,1), act_type="relu", use_batchnorm=False) # specific parameters for VGG16 network from_layers = [relu4_3, relu7, relu8_2, relu9_2, relu10_2, relu11_2] sizes = [[.1, .141], [.2,.272], [.37, .447], [.54, .619], [.71, .79], [.88, .961]] ratios = [[1,2,.5], [1,2,.5,3,1./3], [1,2,.5,3,1./3], [1,2,.5,3,1./3], \ [1,2,.5], [1,2,.5]] normalizations = [20, -1, -1, -1, -1, -1] steps = [ x / 300.0 for x in [8, 16, 32, 64, 100, 300]] num_channels = [512] loc_preds, cls_preds, anchor_boxes = multibox_layer(from_layers, \ num_classes, sizes=sizes, ratios=ratios, normalization=normalizations, \ num_channels=num_channels, clip=False, interm_layer=0, steps=steps) tmp = mx.symbol.contrib.MultiBoxTarget( *[anchor_boxes, label, cls_preds], overlap_threshold=.5, \ ignore_label=-1, negative_mining_ratio=3, minimum_negative_samples=0, \ negative_mining_thresh=.5, variances=(0.1, 0.1, 0.2, 0.2), name="multibox_target") loc_target = tmp[0] loc_target_mask = tmp[1] cls_target = tmp[2] cls_prob = mx.symbol.SoftmaxOutput(data=cls_preds, label=cls_target, \ ignore_label=-1, use_ignore=True, grad_scale=1., multi_output=True, \ normalization='valid', name="cls_prob") loc_loss_ = mx.symbol.smooth_l1(name="loc_loss_", \ data=loc_target_mask * (loc_preds - loc_target), scalar=1.0) loc_loss = mx.symbol.MakeLoss(loc_loss_, grad_scale=1., \ normalization='valid', name="loc_loss") # monitoring training status cls_label = mx.symbol.MakeLoss(data=cls_target, grad_scale=0, name="cls_label") det = mx.symbol.contrib.MultiBoxDetection(*[cls_prob, loc_preds, anchor_boxes], \ name="detection", nms_threshold=nms_thresh, force_suppress=force_suppress, variances=(0.1, 0.1, 0.2, 0.2), nms_topk=nms_topk) det = mx.symbol.MakeLoss(data=det, grad_scale=0, name="det_out") # group output out = mx.symbol.Group([cls_prob, loc_loss, cls_label, det]) return out
python
def get_symbol_train(num_classes=20, nms_thresh=0.5, force_suppress=False, nms_topk=400, **kwargs): """ Single-shot multi-box detection with VGG 16 layers ConvNet This is a modified version, with fc6/fc7 layers replaced by conv layers And the network is slightly smaller than original VGG 16 network This is a training network with losses Parameters: ---------- num_classes: int number of object classes not including background nms_thresh : float non-maximum suppression threshold force_suppress : boolean whether suppress different class objects nms_topk : int apply NMS to top K detections Returns: ---------- mx.Symbol """ data = mx.symbol.Variable(name="data") label = mx.symbol.Variable(name="label") # group 1 conv1_1 = mx.symbol.Convolution( data=data, kernel=(3, 3), pad=(1, 1), num_filter=64, name="conv1_1") relu1_1 = mx.symbol.Activation(data=conv1_1, act_type="relu", name="relu1_1") conv1_2 = mx.symbol.Convolution( data=relu1_1, kernel=(3, 3), pad=(1, 1), num_filter=64, name="conv1_2") relu1_2 = mx.symbol.Activation(data=conv1_2, act_type="relu", name="relu1_2") pool1 = mx.symbol.Pooling( data=relu1_2, pool_type="max", kernel=(2, 2), stride=(2, 2), name="pool1") # group 2 conv2_1 = mx.symbol.Convolution( data=pool1, kernel=(3, 3), pad=(1, 1), num_filter=128, name="conv2_1") relu2_1 = mx.symbol.Activation(data=conv2_1, act_type="relu", name="relu2_1") conv2_2 = mx.symbol.Convolution( data=relu2_1, kernel=(3, 3), pad=(1, 1), num_filter=128, name="conv2_2") relu2_2 = mx.symbol.Activation(data=conv2_2, act_type="relu", name="relu2_2") pool2 = mx.symbol.Pooling( data=relu2_2, pool_type="max", kernel=(2, 2), stride=(2, 2), name="pool2") # group 3 conv3_1 = mx.symbol.Convolution( data=pool2, kernel=(3, 3), pad=(1, 1), num_filter=256, name="conv3_1") relu3_1 = mx.symbol.Activation(data=conv3_1, act_type="relu", name="relu3_1") conv3_2 = mx.symbol.Convolution( data=relu3_1, kernel=(3, 3), pad=(1, 1), num_filter=256, name="conv3_2") relu3_2 = mx.symbol.Activation(data=conv3_2, act_type="relu", name="relu3_2") conv3_3 = mx.symbol.Convolution( data=relu3_2, kernel=(3, 3), pad=(1, 1), num_filter=256, name="conv3_3") relu3_3 = mx.symbol.Activation(data=conv3_3, act_type="relu", name="relu3_3") pool3 = mx.symbol.Pooling( data=relu3_3, pool_type="max", kernel=(2, 2), stride=(2, 2), \ pooling_convention="full", name="pool3") # group 4 conv4_1 = mx.symbol.Convolution( data=pool3, kernel=(3, 3), pad=(1, 1), num_filter=512, name="conv4_1") relu4_1 = mx.symbol.Activation(data=conv4_1, act_type="relu", name="relu4_1") conv4_2 = mx.symbol.Convolution( data=relu4_1, kernel=(3, 3), pad=(1, 1), num_filter=512, name="conv4_2") relu4_2 = mx.symbol.Activation(data=conv4_2, act_type="relu", name="relu4_2") conv4_3 = mx.symbol.Convolution( data=relu4_2, kernel=(3, 3), pad=(1, 1), num_filter=512, name="conv4_3") relu4_3 = mx.symbol.Activation(data=conv4_3, act_type="relu", name="relu4_3") pool4 = mx.symbol.Pooling( data=relu4_3, pool_type="max", kernel=(2, 2), stride=(2, 2), name="pool4") # group 5 conv5_1 = mx.symbol.Convolution( data=pool4, kernel=(3, 3), pad=(1, 1), num_filter=512, name="conv5_1") relu5_1 = mx.symbol.Activation(data=conv5_1, act_type="relu", name="relu5_1") conv5_2 = mx.symbol.Convolution( data=relu5_1, kernel=(3, 3), pad=(1, 1), num_filter=512, name="conv5_2") relu5_2 = mx.symbol.Activation(data=conv5_2, act_type="relu", name="relu5_2") conv5_3 = mx.symbol.Convolution( data=relu5_2, kernel=(3, 3), pad=(1, 1), num_filter=512, name="conv5_3") relu5_3 = mx.symbol.Activation(data=conv5_3, act_type="relu", name="relu5_3") pool5 = mx.symbol.Pooling( data=relu5_3, pool_type="max", kernel=(3, 3), stride=(1, 1), pad=(1,1), name="pool5") # group 6 conv6 = mx.symbol.Convolution( data=pool5, kernel=(3, 3), pad=(6, 6), dilate=(6, 6), num_filter=1024, name="conv6") relu6 = mx.symbol.Activation(data=conv6, act_type="relu", name="relu6") # drop6 = mx.symbol.Dropout(data=relu6, p=0.5, name="drop6") # group 7 conv7 = mx.symbol.Convolution( data=relu6, kernel=(1, 1), pad=(0, 0), num_filter=1024, name="conv7") relu7 = mx.symbol.Activation(data=conv7, act_type="relu", name="relu7") # drop7 = mx.symbol.Dropout(data=relu7, p=0.5, name="drop7") ### ssd extra layers ### conv8_1, relu8_1 = legacy_conv_act_layer(relu7, "8_1", 256, kernel=(1,1), pad=(0,0), \ stride=(1,1), act_type="relu", use_batchnorm=False) conv8_2, relu8_2 = legacy_conv_act_layer(relu8_1, "8_2", 512, kernel=(3,3), pad=(1,1), \ stride=(2,2), act_type="relu", use_batchnorm=False) conv9_1, relu9_1 = legacy_conv_act_layer(relu8_2, "9_1", 128, kernel=(1,1), pad=(0,0), \ stride=(1,1), act_type="relu", use_batchnorm=False) conv9_2, relu9_2 = legacy_conv_act_layer(relu9_1, "9_2", 256, kernel=(3,3), pad=(1,1), \ stride=(2,2), act_type="relu", use_batchnorm=False) conv10_1, relu10_1 = legacy_conv_act_layer(relu9_2, "10_1", 128, kernel=(1,1), pad=(0,0), \ stride=(1,1), act_type="relu", use_batchnorm=False) conv10_2, relu10_2 = legacy_conv_act_layer(relu10_1, "10_2", 256, kernel=(3,3), pad=(0,0), \ stride=(1,1), act_type="relu", use_batchnorm=False) conv11_1, relu11_1 = legacy_conv_act_layer(relu10_2, "11_1", 128, kernel=(1,1), pad=(0,0), \ stride=(1,1), act_type="relu", use_batchnorm=False) conv11_2, relu11_2 = legacy_conv_act_layer(relu11_1, "11_2", 256, kernel=(3,3), pad=(0,0), \ stride=(1,1), act_type="relu", use_batchnorm=False) # specific parameters for VGG16 network from_layers = [relu4_3, relu7, relu8_2, relu9_2, relu10_2, relu11_2] sizes = [[.1, .141], [.2,.272], [.37, .447], [.54, .619], [.71, .79], [.88, .961]] ratios = [[1,2,.5], [1,2,.5,3,1./3], [1,2,.5,3,1./3], [1,2,.5,3,1./3], \ [1,2,.5], [1,2,.5]] normalizations = [20, -1, -1, -1, -1, -1] steps = [ x / 300.0 for x in [8, 16, 32, 64, 100, 300]] num_channels = [512] loc_preds, cls_preds, anchor_boxes = multibox_layer(from_layers, \ num_classes, sizes=sizes, ratios=ratios, normalization=normalizations, \ num_channels=num_channels, clip=False, interm_layer=0, steps=steps) tmp = mx.symbol.contrib.MultiBoxTarget( *[anchor_boxes, label, cls_preds], overlap_threshold=.5, \ ignore_label=-1, negative_mining_ratio=3, minimum_negative_samples=0, \ negative_mining_thresh=.5, variances=(0.1, 0.1, 0.2, 0.2), name="multibox_target") loc_target = tmp[0] loc_target_mask = tmp[1] cls_target = tmp[2] cls_prob = mx.symbol.SoftmaxOutput(data=cls_preds, label=cls_target, \ ignore_label=-1, use_ignore=True, grad_scale=1., multi_output=True, \ normalization='valid', name="cls_prob") loc_loss_ = mx.symbol.smooth_l1(name="loc_loss_", \ data=loc_target_mask * (loc_preds - loc_target), scalar=1.0) loc_loss = mx.symbol.MakeLoss(loc_loss_, grad_scale=1., \ normalization='valid', name="loc_loss") # monitoring training status cls_label = mx.symbol.MakeLoss(data=cls_target, grad_scale=0, name="cls_label") det = mx.symbol.contrib.MultiBoxDetection(*[cls_prob, loc_preds, anchor_boxes], \ name="detection", nms_threshold=nms_thresh, force_suppress=force_suppress, variances=(0.1, 0.1, 0.2, 0.2), nms_topk=nms_topk) det = mx.symbol.MakeLoss(data=det, grad_scale=0, name="det_out") # group output out = mx.symbol.Group([cls_prob, loc_loss, cls_label, det]) return out
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",", "num_filter", "=", "512", ",", "name", "=", "\"conv5_2\"", ")", "relu5_2", "=", "mx", ".", "symbol", ".", "Activation", "(", "data", "=", "conv5_2", ",", "act_type", "=", "\"relu\"", ",", "name", "=", "\"relu5_2\"", ")", "conv5_3", "=", "mx", ".", "symbol", ".", "Convolution", "(", "data", "=", "relu5_2", ",", "kernel", "=", "(", "3", ",", "3", ")", ",", "pad", "=", "(", "1", ",", "1", ")", ",", "num_filter", "=", "512", ",", "name", "=", "\"conv5_3\"", ")", "relu5_3", "=", "mx", ".", "symbol", ".", "Activation", "(", "data", "=", "conv5_3", ",", "act_type", "=", "\"relu\"", ",", "name", "=", "\"relu5_3\"", ")", "pool5", "=", "mx", ".", "symbol", ".", "Pooling", "(", "data", "=", "relu5_3", ",", "pool_type", "=", "\"max\"", ",", "kernel", "=", "(", "3", ",", "3", ")", ",", "stride", "=", "(", "1", ",", "1", ")", ",", "pad", "=", "(", "1", ",", "1", ")", ",", "name", "=", "\"pool5\"", ")", "# group 6", "conv6", "=", "mx", ".", "symbol", ".", "Convolution", "(", "data", "=", "pool5", ",", "kernel", "=", "(", "3", ",", "3", ")", ",", "pad", "=", "(", "6", ",", "6", ")", ",", "dilate", "=", "(", "6", ",", "6", ")", ",", "num_filter", "=", "1024", ",", "name", "=", "\"conv6\"", ")", "relu6", "=", "mx", ".", "symbol", ".", "Activation", "(", "data", "=", "conv6", ",", "act_type", "=", "\"relu\"", ",", "name", "=", "\"relu6\"", ")", "# drop6 = mx.symbol.Dropout(data=relu6, p=0.5, name=\"drop6\")", "# group 7", "conv7", "=", "mx", ".", "symbol", ".", "Convolution", "(", "data", "=", "relu6", ",", "kernel", "=", "(", "1", ",", "1", ")", ",", "pad", "=", "(", "0", ",", "0", ")", ",", "num_filter", "=", "1024", ",", "name", "=", "\"conv7\"", ")", "relu7", "=", "mx", ".", "symbol", ".", "Activation", "(", "data", "=", "conv7", ",", "act_type", "=", "\"relu\"", ",", "name", "=", "\"relu7\"", ")", "# drop7 = mx.symbol.Dropout(data=relu7, p=0.5, name=\"drop7\")", "### ssd extra layers ###", "conv8_1", ",", "relu8_1", "=", "legacy_conv_act_layer", "(", "relu7", ",", "\"8_1\"", ",", "256", ",", "kernel", "=", "(", "1", ",", "1", ")", ",", "pad", "=", "(", "0", ",", "0", ")", ",", "stride", "=", "(", "1", ",", "1", ")", ",", "act_type", "=", "\"relu\"", ",", "use_batchnorm", "=", "False", ")", "conv8_2", ",", "relu8_2", "=", "legacy_conv_act_layer", "(", "relu8_1", ",", "\"8_2\"", ",", "512", ",", "kernel", "=", "(", "3", ",", "3", ")", ",", "pad", "=", "(", "1", ",", "1", ")", ",", "stride", "=", "(", "2", ",", "2", ")", ",", "act_type", "=", "\"relu\"", ",", "use_batchnorm", "=", "False", ")", "conv9_1", ",", "relu9_1", "=", "legacy_conv_act_layer", "(", "relu8_2", ",", "\"9_1\"", ",", "128", ",", "kernel", "=", "(", "1", ",", "1", ")", ",", "pad", "=", "(", "0", ",", "0", ")", ",", "stride", "=", "(", "1", ",", "1", ")", ",", "act_type", "=", "\"relu\"", ",", "use_batchnorm", "=", "False", ")", "conv9_2", ",", "relu9_2", "=", "legacy_conv_act_layer", "(", "relu9_1", ",", "\"9_2\"", ",", "256", ",", "kernel", "=", "(", "3", ",", "3", ")", ",", "pad", "=", "(", "1", ",", "1", ")", ",", "stride", "=", "(", "2", ",", "2", ")", ",", "act_type", "=", "\"relu\"", ",", "use_batchnorm", "=", "False", ")", "conv10_1", ",", "relu10_1", "=", "legacy_conv_act_layer", "(", "relu9_2", ",", "\"10_1\"", ",", "128", ",", "kernel", "=", "(", "1", ",", "1", ")", ",", "pad", "=", "(", "0", ",", "0", ")", ",", "stride", "=", "(", "1", ",", "1", ")", ",", "act_type", "=", "\"relu\"", ",", "use_batchnorm", "=", "False", ")", "conv10_2", ",", "relu10_2", "=", "legacy_conv_act_layer", "(", "relu10_1", ",", "\"10_2\"", ",", "256", ",", "kernel", "=", "(", "3", ",", "3", ")", ",", "pad", "=", "(", "0", ",", "0", ")", ",", "stride", "=", "(", "1", ",", "1", ")", ",", "act_type", "=", "\"relu\"", ",", "use_batchnorm", "=", "False", ")", "conv11_1", ",", "relu11_1", "=", "legacy_conv_act_layer", "(", "relu10_2", ",", "\"11_1\"", ",", "128", ",", "kernel", "=", "(", "1", ",", "1", ")", ",", "pad", "=", "(", "0", ",", "0", ")", ",", "stride", "=", "(", "1", ",", "1", ")", ",", "act_type", "=", "\"relu\"", ",", "use_batchnorm", "=", "False", ")", "conv11_2", ",", "relu11_2", "=", "legacy_conv_act_layer", "(", "relu11_1", ",", "\"11_2\"", ",", "256", ",", "kernel", "=", "(", "3", ",", "3", ")", ",", "pad", "=", "(", "0", ",", "0", ")", ",", "stride", "=", "(", "1", ",", "1", ")", ",", "act_type", "=", "\"relu\"", ",", "use_batchnorm", "=", "False", ")", "# specific parameters for VGG16 network", "from_layers", "=", "[", "relu4_3", ",", "relu7", ",", "relu8_2", ",", "relu9_2", ",", "relu10_2", ",", "relu11_2", "]", "sizes", "=", "[", "[", ".1", ",", ".141", "]", ",", "[", ".2", ",", ".272", "]", ",", "[", ".37", ",", ".447", "]", ",", "[", ".54", ",", ".619", "]", ",", "[", ".71", ",", ".79", "]", ",", "[", ".88", ",", ".961", "]", "]", "ratios", "=", "[", "[", "1", ",", "2", ",", ".5", "]", ",", "[", "1", ",", "2", ",", ".5", ",", "3", ",", "1.", "/", "3", "]", ",", "[", "1", ",", "2", ",", ".5", ",", "3", ",", "1.", "/", "3", "]", ",", "[", "1", ",", "2", ",", ".5", ",", "3", ",", "1.", "/", "3", "]", ",", "[", "1", ",", "2", ",", ".5", "]", ",", "[", "1", ",", "2", ",", ".5", "]", "]", "normalizations", "=", "[", "20", ",", "-", "1", ",", "-", "1", ",", "-", "1", ",", "-", "1", ",", "-", "1", "]", "steps", "=", "[", "x", "/", "300.0", "for", "x", "in", "[", "8", ",", "16", ",", "32", ",", "64", ",", "100", ",", "300", "]", "]", "num_channels", "=", "[", "512", "]", "loc_preds", ",", "cls_preds", ",", "anchor_boxes", "=", "multibox_layer", "(", "from_layers", ",", "num_classes", ",", "sizes", "=", "sizes", ",", "ratios", "=", "ratios", ",", "normalization", "=", "normalizations", ",", "num_channels", "=", "num_channels", ",", "clip", "=", "False", ",", "interm_layer", "=", "0", ",", "steps", "=", "steps", ")", "tmp", "=", "mx", ".", "symbol", ".", "contrib", ".", "MultiBoxTarget", "(", "*", "[", "anchor_boxes", ",", "label", ",", "cls_preds", "]", ",", "overlap_threshold", "=", ".5", ",", "ignore_label", "=", "-", "1", ",", "negative_mining_ratio", "=", "3", ",", "minimum_negative_samples", "=", "0", ",", "negative_mining_thresh", "=", ".5", ",", "variances", "=", "(", "0.1", ",", "0.1", ",", "0.2", ",", "0.2", ")", ",", "name", "=", "\"multibox_target\"", ")", "loc_target", "=", "tmp", "[", "0", "]", "loc_target_mask", "=", "tmp", "[", "1", "]", "cls_target", "=", "tmp", "[", "2", "]", "cls_prob", "=", "mx", ".", "symbol", ".", "SoftmaxOutput", "(", "data", "=", "cls_preds", ",", "label", "=", "cls_target", ",", "ignore_label", "=", "-", "1", ",", "use_ignore", "=", "True", ",", "grad_scale", "=", "1.", ",", "multi_output", "=", "True", ",", "normalization", "=", "'valid'", ",", "name", "=", "\"cls_prob\"", ")", "loc_loss_", "=", "mx", ".", "symbol", ".", "smooth_l1", "(", "name", "=", "\"loc_loss_\"", ",", "data", "=", "loc_target_mask", "*", "(", "loc_preds", "-", "loc_target", ")", ",", "scalar", "=", "1.0", ")", "loc_loss", "=", "mx", ".", "symbol", ".", "MakeLoss", "(", "loc_loss_", ",", "grad_scale", "=", "1.", ",", "normalization", "=", "'valid'", ",", "name", "=", "\"loc_loss\"", ")", "# monitoring training status", "cls_label", "=", "mx", ".", "symbol", ".", "MakeLoss", "(", "data", "=", "cls_target", ",", "grad_scale", "=", "0", ",", "name", "=", "\"cls_label\"", ")", "det", "=", "mx", ".", "symbol", ".", "contrib", ".", "MultiBoxDetection", "(", "*", "[", "cls_prob", ",", "loc_preds", ",", "anchor_boxes", "]", ",", "name", "=", "\"detection\"", ",", "nms_threshold", "=", "nms_thresh", ",", "force_suppress", "=", "force_suppress", ",", "variances", "=", "(", "0.1", ",", "0.1", ",", "0.2", ",", "0.2", ")", ",", "nms_topk", "=", "nms_topk", ")", "det", "=", "mx", ".", "symbol", ".", "MakeLoss", "(", "data", "=", "det", ",", "grad_scale", "=", "0", ",", "name", "=", "\"det_out\"", ")", "# group output", "out", "=", "mx", ".", "symbol", ".", "Group", "(", "[", "cls_prob", ",", "loc_loss", ",", "cls_label", ",", "det", "]", ")", "return", "out" ]
Single-shot multi-box detection with VGG 16 layers ConvNet This is a modified version, with fc6/fc7 layers replaced by conv layers And the network is slightly smaller than original VGG 16 network This is a training network with losses Parameters: ---------- num_classes: int number of object classes not including background nms_thresh : float non-maximum suppression threshold force_suppress : boolean whether suppress different class objects nms_topk : int apply NMS to top K detections Returns: ---------- mx.Symbol
[ "Single", "-", "shot", "multi", "-", "box", "detection", "with", "VGG", "16", "layers", "ConvNet", "This", "is", "a", "modified", "version", "with", "fc6", "/", "fc7", "layers", "replaced", "by", "conv", "layers", "And", "the", "network", "is", "slightly", "smaller", "than", "original", "VGG", "16", "network", "This", "is", "a", "training", "network", "with", "losses" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/symbol/legacy_vgg16_ssd_300.py#L22-L173
train
This function returns a training network with multi - box multi - box multi - box multi - box multi - box multi - box layers replaced by conv layers and a training network with losses
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(1676 - 1628) + '\x6f' + chr(2126 - 2075) + '\063' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(2219 - 2171) + '\x6f' + '\066' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + chr(0b110001) + '\x31' + '\x34', 0b1000), ehT0Px3KOsy9(chr(483 - 435) + chr(111) + chr(396 - 346) + chr(0b110011) + chr(1473 - 1424), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1843 - 1793) + chr(1817 - 1764) + chr(53), 0b1000), ehT0Px3KOsy9(chr(537 - 489) + '\157' + chr(181 - 128) + chr(0b11010 + 0o34), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b10001 + 0o45) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100110 + 0o15) + chr(0b110101) + '\x31', 10934 - 10926), ehT0Px3KOsy9('\x30' + chr(0b1010111 + 0o30) + chr(0b11101 + 0o26) + '\x32' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1567 - 1519) + chr(0b1101111) + chr(51) + chr(48) + chr(55), 24134 - 24126), ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + '\064' + chr(1167 - 1118), 0o10), ehT0Px3KOsy9(chr(1974 - 1926) + '\157' + chr(0b110010) + chr(0b110010) + chr(0b110001 + 0o6), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100001 + 0o21) + chr(0b110101) + '\066', 29992 - 29984), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\063' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1110 + 0o44) + chr(51) + '\x35', 7450 - 7442), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(53) + '\x37', 50191 - 50183), ehT0Px3KOsy9(chr(1373 - 1325) + chr(111) + chr(0b110101) + '\065', 64287 - 64279), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1857 - 1807) + chr(49) + '\063', 12275 - 12267), ehT0Px3KOsy9('\060' + chr(7141 - 7030) + chr(0b110011) + chr(0b110010) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100010 + 0o17) + chr(1223 - 1172) + chr(0b110000 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(0b11000 + 0o31) + '\063' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(6716 - 6605) + '\061' + chr(2495 - 2445) + chr(865 - 816), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3439 - 3328) + chr(1925 - 1874) + chr(1214 - 1164) + chr(2324 - 2270), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101101 + 0o10) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000 + 0o3) + '\x32' + chr(1142 - 1094), 0b1000), ehT0Px3KOsy9(chr(1338 - 1290) + '\157' + chr(0b110011) + '\063' + '\x37', 59548 - 59540), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + '\x31' + '\067' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1115 - 1066) + chr(52) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(11230 - 11119) + '\063' + '\x32' + chr(1558 - 1505), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + chr(679 - 628) + chr(0b11001 + 0o32) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(53) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(5097 - 4986) + '\063' + chr(0b110101) + chr(50), 0b1000), ehT0Px3KOsy9(chr(1372 - 1324) + chr(0b110000 + 0o77) + chr(2495 - 2444) + chr(0b110110) + '\060', 26896 - 26888), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(54) + chr(0b110000), 8), ehT0Px3KOsy9(chr(1666 - 1618) + chr(0b1101111) + '\061' + '\x32' + chr(53), 0b1000), ehT0Px3KOsy9(chr(1250 - 1202) + chr(111) + chr(1416 - 1367) + chr(2031 - 1978) + chr(0b1110 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11994 - 11883) + chr(49) + '\x33' + '\x34', 8), ehT0Px3KOsy9(chr(48) + chr(0b111000 + 0o67) + '\061' + '\x30' + chr(0b110110), 1727 - 1719), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + '\x32' + '\x31' + chr(375 - 325), 0o10), ehT0Px3KOsy9(chr(497 - 449) + '\x6f' + chr(0b110011) + chr(51) + chr(0b110111), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(53) + '\060', 8382 - 8374)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6'), chr(100) + '\145' + chr(0b10111 + 0o114) + '\x6f' + chr(0b100000 + 0o104) + chr(0b1100101))(chr(0b1000111 + 0o56) + '\x74' + '\146' + '\055' + chr(0b1001 + 0o57)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Hih03lch9w7E(i6loyAgxUM2t=ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(0b110010) + chr(2073 - 2021), 4410 - 4402), B1zO81yiJH6n=0.5, e_bjlViiPD4p=ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b110000), 0b1000), ThWUW9vG0TzH=ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + chr(0b100000 + 0o26) + chr(88 - 38) + chr(1062 - 1014), 20968 - 20960), **M8EIoTs2GJXE): ULnjp6D6efFH = CIVheOt0RKQX.symbol.Variable(name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbcQ8\xf8'), '\x64' + chr(0b10001 + 0o124) + chr(99) + chr(0b1101111) + '\144' + chr(0b1011000 + 0o15))('\165' + chr(0b1100100 + 0o20) + chr(102) + chr(1340 - 1295) + chr(56))) TRUOLFLuD08x = CIVheOt0RKQX.symbol.Variable(name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4Q.\xfc\xc1'), chr(0b1100100) + chr(7167 - 7066) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(1421 - 1320))('\165' + '\164' + '\146' + '\x2d' + '\x38')) tltkMG2iH5US = CIVheOt0RKQX.symbol.Convolution(data=ULnjp6D6efFH, kernel=(ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1000011 + 0o54) + chr(0b100111 + 0o14), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063', 8)), pad=(ehT0Px3KOsy9('\x30' + chr(10273 - 10162) + chr(0b10011 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(5491 - 5380) + chr(49), 8)), num_filter=ehT0Px3KOsy9(chr(798 - 750) + '\157' + chr(49) + chr(0b110000) + chr(0b110000), 0b1000), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb_"\xef\x9cq\xc4'), chr(100) + '\x65' + chr(99) + chr(0b1101111) + chr(100) + '\145')(chr(0b1110101) + '\x74' + chr(102) + '\x2d' + chr(0b111000))) kOTulsD1gKJP = CIVheOt0RKQX.symbol.Activation(data=tltkMG2iH5US, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(0b11101 + 0o107) + chr(0b1100101) + chr(99) + chr(3912 - 3801) + chr(100) + chr(101))('\x75' + '\x74' + '\x66' + chr(45) + '\070'), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec\x9cq\xc4'), chr(0b11111 + 0o105) + chr(0b101111 + 0o66) + '\x63' + chr(111) + '\x64' + '\x65')(chr(0b1101000 + 0o15) + chr(12008 - 11892) + chr(102) + chr(218 - 173) + '\070')) zE2jKfjPfDvG = CIVheOt0RKQX.symbol.Convolution(data=kOTulsD1gKJP, kernel=(ehT0Px3KOsy9('\060' + chr(111) + chr(0b10101 + 0o36), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51), 8)), pad=(ehT0Px3KOsy9(chr(1924 - 1876) + chr(10594 - 10483) + chr(0b10110 + 0o33), 8), ehT0Px3KOsy9(chr(48) + chr(2366 - 2255) + chr(0b101 + 0o54), 8)), num_filter=ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(49) + chr(919 - 871) + chr(2037 - 1989), 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb_"\xef\x9cq\xc7'), chr(100) + chr(0b1001011 + 0o32) + chr(2327 - 2228) + '\x6f' + chr(0b1 + 0o143) + chr(0b1100101))(chr(0b1 + 0o164) + chr(8986 - 8870) + chr(102) + chr(45) + '\x38')) Cz8DpC6yOxVD = CIVheOt0RKQX.symbol.Activation(data=zE2jKfjPfDvG, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(100) + '\x65' + '\143' + '\x6f' + '\x64' + chr(3589 - 3488))(chr(117) + chr(0b1110100) + chr(0b1000110 + 0o40) + chr(0b101101) + chr(0b111000)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec\x9cq\xc7'), '\144' + chr(101) + '\143' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(117) + chr(0b1001010 + 0o52) + chr(0b1100110) + '\x2d' + '\070')) gpMH6Tp6sFO_ = CIVheOt0RKQX.symbol.Pooling(data=Cz8DpC6yOxVD, pool_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5Q4'), '\x64' + chr(2960 - 2859) + chr(99) + chr(0b101110 + 0o101) + chr(0b1100100) + chr(101))('\x75' + '\164' + '\x66' + chr(0b11 + 0o52) + '\x38'), kernel=(ehT0Px3KOsy9('\060' + '\x6f' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1100111 + 0o10) + chr(0b100111 + 0o13), 8)), stride=(ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001010 + 0o45) + '\062', 8)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8_#\xf5\x9c'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1010100 + 0o41) + chr(0b1110100) + chr(0b1011011 + 0o13) + chr(45) + chr(56))) l52vEUdwuJ4Q = CIVheOt0RKQX.symbol.Convolution(data=gpMH6Tp6sFO_, kernel=(ehT0Px3KOsy9('\060' + chr(0b100111 + 0o110) + chr(51), 8), ehT0Px3KOsy9('\x30' + chr(6327 - 6216) + chr(0b11111 + 0o24), 8)), pad=(ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\061', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001), 8)), num_filter=ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b101101 + 0o5) + '\x30' + '\060', ord("\x08")), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb_"\xef\x9fq\xc4'), '\x64' + chr(8583 - 8482) + '\143' + chr(0b1011001 + 0o26) + chr(3718 - 3618) + '\x65')(chr(0b1110101) + '\164' + '\146' + chr(0b100100 + 0o11) + '\x38')) g8rG5UJFNxKZ = CIVheOt0RKQX.symbol.Activation(data=l52vEUdwuJ4Q, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(4030 - 3930) + '\x65' + chr(8381 - 8282) + chr(111) + '\x64' + '\145')('\165' + chr(0b1110100) + chr(102) + '\055' + '\070'), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec\x9fq\xc4'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1100100) + '\145')('\x75' + '\x74' + '\x66' + chr(0b1100 + 0o41) + chr(2033 - 1977))) _YU304HTrOxd = CIVheOt0RKQX.symbol.Convolution(data=g8rG5UJFNxKZ, kernel=(ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1546 - 1495), 8), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + '\x33', 8)), pad=(ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(159 - 110), 8)), num_filter=ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1000101 + 0o52) + chr(2498 - 2448) + chr(0b110000) + '\x30', 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb_"\xef\x9fq\xc7'), '\x64' + chr(1936 - 1835) + chr(4523 - 4424) + chr(0b11010 + 0o125) + chr(0b1100100) + chr(0b111011 + 0o52))(chr(0b1110101) + chr(0b1100111 + 0o15) + chr(2649 - 2547) + '\x2d' + '\070')) KmV7WxJJHrPZ = CIVheOt0RKQX.symbol.Activation(data=_YU304HTrOxd, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(1353 - 1253) + '\145' + chr(0b1100011) + chr(0b10010 + 0o135) + '\x64' + chr(0b1100101))('\x75' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b111000)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec\x9fq\xc7'), '\144' + chr(0b1100101) + '\x63' + chr(0b1100001 + 0o16) + chr(100) + chr(421 - 320))(chr(117) + chr(0b10010 + 0o142) + chr(0b111001 + 0o55) + chr(1436 - 1391) + chr(0b10011 + 0o45))) jYrTXprkeo0C = CIVheOt0RKQX.symbol.Pooling(data=KmV7WxJJHrPZ, pool_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5Q4'), chr(100) + chr(4930 - 4829) + chr(0b10000 + 0o123) + chr(0b1101111) + chr(9618 - 9518) + '\x65')('\165' + '\x74' + '\x66' + '\x2d' + chr(56)), kernel=(ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + '\062', 8)), stride=(ehT0Px3KOsy9(chr(0b110000) + chr(10653 - 10542) + chr(1303 - 1253), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010), 8)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8_#\xf5\x9f'), chr(0b1100100) + '\x65' + chr(1148 - 1049) + chr(111) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1110100) + '\x66' + chr(0b10011 + 0o32) + '\x38')) e8Q7BnAhuVv_ = CIVheOt0RKQX.symbol.Convolution(data=jYrTXprkeo0C, kernel=(ehT0Px3KOsy9('\060' + chr(111) + '\x33', 8), ehT0Px3KOsy9('\060' + '\157' + '\x33', 8)), pad=(ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061', 8)), num_filter=ehT0Px3KOsy9('\x30' + '\x6f' + chr(52) + '\060' + chr(48), 39518 - 39510), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb_"\xef\x9eq\xc4'), '\x64' + chr(0b100010 + 0o103) + '\x63' + chr(111) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b101111 + 0o105) + '\x66' + chr(45) + chr(2739 - 2683))) dCo6tnQhyzcT = CIVheOt0RKQX.symbol.Activation(data=e8Q7BnAhuVv_, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(0b1100100) + chr(101) + '\143' + chr(111) + chr(0b1100100) + '\x65')(chr(0b1011011 + 0o32) + '\x74' + '\146' + '\055' + chr(2755 - 2699)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec\x9eq\xc4'), chr(0b1100100) + chr(101) + '\143' + chr(111) + '\x64' + chr(0b1010 + 0o133))('\x75' + chr(2955 - 2839) + chr(0b111001 + 0o55) + chr(0b101101) + chr(0b0 + 0o70))) ifLpvGVFmxU7 = CIVheOt0RKQX.symbol.Convolution(data=dCo6tnQhyzcT, kernel=(ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101001 + 0o12), 8), ehT0Px3KOsy9('\060' + chr(111) + '\063', 8)), pad=(ehT0Px3KOsy9(chr(48) + chr(3101 - 2990) + chr(49), 8), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(8036 - 7925) + '\061', 8)), num_filter=ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + '\x34' + '\x30' + '\x30', 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb_"\xef\x9eq\xc7'), '\144' + chr(0b100010 + 0o103) + chr(0b100100 + 0o77) + '\x6f' + chr(0b1100100) + '\145')(chr(117) + chr(116) + '\x66' + chr(45) + '\x38')) I63B6DWvgFJR = CIVheOt0RKQX.symbol.Activation(data=ifLpvGVFmxU7, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(0b101001 + 0o73) + chr(161 - 60) + '\x63' + chr(0b100111 + 0o110) + '\x64' + chr(0b111110 + 0o47))(chr(11222 - 11105) + chr(0b1110100) + chr(0b1100110) + chr(988 - 943) + chr(0b111000)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec\x9eq\xc7'), '\x64' + chr(0b1100101) + chr(99) + chr(111) + chr(100) + chr(101))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b11101 + 0o20) + chr(0b111000))) YdZCFUc60V8I = CIVheOt0RKQX.symbol.Convolution(data=I63B6DWvgFJR, kernel=(ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33', 8)), pad=(ehT0Px3KOsy9('\060' + '\157' + '\061', 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\x31', 8)), num_filter=ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + chr(52) + chr(1876 - 1828) + chr(0b10110 + 0o32), 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb_"\xef\x9eq\xc6'), '\144' + chr(0b1100101) + chr(1697 - 1598) + chr(0b1010110 + 0o31) + chr(100) + chr(8665 - 8564))(chr(0b1010110 + 0o37) + chr(0b1011 + 0o151) + chr(0b1000100 + 0o42) + '\x2d' + '\x38')) cG3oxjzeeiEr = CIVheOt0RKQX.symbol.Activation(data=YdZCFUc60V8I, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), '\x64' + chr(101) + chr(99) + chr(0b111110 + 0o61) + '\144' + chr(0b1100101))(chr(117) + chr(0b11001 + 0o133) + chr(0b1100110) + chr(45) + chr(972 - 916)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec\x9eq\xc6'), chr(1854 - 1754) + chr(380 - 279) + '\143' + chr(111) + chr(100) + '\145')('\165' + chr(0b11111 + 0o125) + '\x66' + '\x2d' + chr(0b111000))) hG4VIVWTvdIj = CIVheOt0RKQX.symbol.Pooling(data=cG3oxjzeeiEr, pool_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5Q4'), '\x64' + chr(0b111010 + 0o53) + chr(2273 - 2174) + chr(9543 - 9432) + '\x64' + chr(0b1000111 + 0o36))(chr(117) + chr(0b1110100) + chr(10254 - 10152) + chr(0b101101) + chr(0b110000 + 0o10)), kernel=(ehT0Px3KOsy9(chr(0b110000) + chr(4422 - 4311) + chr(50), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1001 + 0o51), 8)), stride=(ehT0Px3KOsy9(chr(48) + chr(3761 - 3650) + chr(50), 8), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(0b110010), 8)), pooling_convention=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbeE \xf5'), chr(100) + chr(0b110011 + 0o62) + chr(0b1001101 + 0o26) + chr(4784 - 4673) + chr(100) + chr(0b1001001 + 0o34))(chr(0b1110101) + chr(116) + '\x66' + chr(1279 - 1234) + '\070'), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8_#\xf5\x9e'), chr(0b101100 + 0o70) + chr(101) + '\143' + '\157' + chr(7535 - 7435) + chr(0b1010000 + 0o25))('\x75' + chr(10416 - 10300) + '\x66' + chr(0b101101) + chr(0b111000))) gL1xrT45aBIt = CIVheOt0RKQX.symbol.Convolution(data=hG4VIVWTvdIj, kernel=(ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + '\063', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010111 + 0o30) + chr(0b1000 + 0o53), 8)), pad=(ehT0Px3KOsy9(chr(1381 - 1333) + chr(0b1101111) + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49), 8)), num_filter=ehT0Px3KOsy9(chr(514 - 466) + '\x6f' + chr(1972 - 1923) + chr(0b110000) + chr(48) + chr(48), 0o10), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb_"\xef\x99q\xc4'), '\144' + chr(5573 - 5472) + chr(8322 - 8223) + '\157' + chr(7480 - 7380) + chr(0b1000010 + 0o43))(chr(5182 - 5065) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b101001 + 0o17))) wjtMObZSKY3G = CIVheOt0RKQX.symbol.Activation(data=gL1xrT45aBIt, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), '\x64' + chr(0b10101 + 0o120) + chr(0b11111 + 0o104) + '\157' + '\144' + '\145')('\165' + chr(0b101111 + 0o105) + chr(102) + '\x2d' + chr(56)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec\x99q\xc4'), chr(1153 - 1053) + chr(0b1100101) + chr(0b1100011) + chr(12075 - 11964) + '\144' + '\145')(chr(0b1110101) + chr(0b10000 + 0o144) + chr(102) + chr(45) + chr(0b111000))) j47DBUZgLF7s = CIVheOt0RKQX.symbol.Convolution(data=wjtMObZSKY3G, kernel=(ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011), 8)), pad=(ehT0Px3KOsy9(chr(394 - 346) + chr(0b1101111) + chr(49), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31', 8)), num_filter=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(288 - 239) + '\x30' + '\x30' + '\060', 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb_"\xef\x99q\xc7'), chr(2842 - 2742) + chr(101) + chr(0b1100011) + chr(111) + chr(7944 - 7844) + chr(101))(chr(117) + chr(0b1111 + 0o145) + chr(102) + chr(1035 - 990) + chr(0b111000))) gCZTJxKM31RX = CIVheOt0RKQX.symbol.Activation(data=j47DBUZgLF7s, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), '\144' + '\145' + chr(99) + '\x6f' + '\x64' + chr(5600 - 5499))(chr(10346 - 10229) + chr(0b1110100) + chr(0b110010 + 0o64) + chr(0b101101) + '\070'), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec\x99q\xc7'), chr(0b10010 + 0o122) + chr(3682 - 3581) + '\143' + chr(1809 - 1698) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b100000 + 0o106) + chr(45) + chr(1553 - 1497))) SLUHRYcIo6gA = CIVheOt0RKQX.symbol.Convolution(data=gCZTJxKM31RX, kernel=(ehT0Px3KOsy9('\060' + chr(1167 - 1056) + '\x33', 8), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(5014 - 4903) + '\x33', 8)), pad=(ehT0Px3KOsy9(chr(0b110000) + chr(3139 - 3028) + chr(0b11111 + 0o22), 8), ehT0Px3KOsy9(chr(48) + chr(3008 - 2897) + chr(566 - 517), 8)), num_filter=ehT0Px3KOsy9('\x30' + '\157' + chr(0b11110 + 0o23) + chr(1811 - 1763) + chr(1696 - 1648) + chr(48), 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb_"\xef\x99q\xc6'), chr(0b1100100) + chr(101) + chr(8591 - 8492) + '\157' + chr(100) + '\145')(chr(117) + '\164' + chr(102) + '\x2d' + chr(0b111000))) Q_vhuWH5TFoJ = CIVheOt0RKQX.symbol.Activation(data=SLUHRYcIo6gA, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(0b1100100) + chr(4998 - 4897) + chr(0b1011000 + 0o13) + chr(0b1101111) + chr(0b110000 + 0o64) + chr(0b1100101))(chr(117) + chr(2252 - 2136) + chr(0b101000 + 0o76) + chr(1338 - 1293) + chr(56)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec\x99q\xc6'), '\x64' + chr(0b1100101) + '\143' + chr(0b1010 + 0o145) + chr(0b1100100) + chr(1615 - 1514))(chr(117) + '\164' + chr(0b1100110) + chr(1761 - 1716) + '\x38')) HMLjyDOahXwR = CIVheOt0RKQX.symbol.Pooling(data=Q_vhuWH5TFoJ, pool_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5Q4'), chr(0b10010 + 0o122) + chr(0b1100101) + chr(6489 - 6390) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b11101 + 0o130) + chr(11118 - 11002) + chr(0b1000111 + 0o37) + '\055' + '\x38'), kernel=(ehT0Px3KOsy9('\x30' + '\x6f' + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + chr(3238 - 3127) + chr(0b0 + 0o62), 8)), stride=(ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(130 - 80), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1001 + 0o51), 8)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8_#\xf5\x99'), chr(5793 - 5693) + '\x65' + chr(0b1100011) + '\x6f' + chr(0b111010 + 0o52) + chr(0b1100101))(chr(8554 - 8437) + chr(0b1001010 + 0o52) + chr(102) + '\x2d' + chr(0b101001 + 0o17))) tp6bqQZjdKR6 = CIVheOt0RKQX.symbol.Convolution(data=HMLjyDOahXwR, kernel=(ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + chr(0b110011), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001 + 0o2), 8)), pad=(ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110 + 0o53), 8)), num_filter=ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\x30' + '\x30' + chr(0b110000), 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb_"\xef\x98q\xc4'), chr(100) + chr(0b1011101 + 0o10) + chr(99) + chr(111) + '\x64' + chr(0b1100101))('\165' + '\x74' + chr(0b1100110) + '\055' + '\x38')) jXP2bhWFwkvW = CIVheOt0RKQX.symbol.Activation(data=tp6bqQZjdKR6, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), '\x64' + chr(9326 - 9225) + '\143' + chr(0b111 + 0o150) + '\x64' + chr(955 - 854))(chr(9253 - 9136) + chr(0b1110100) + chr(2757 - 2655) + '\055' + '\x38'), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec\x98q\xc4'), chr(100) + chr(2626 - 2525) + chr(4287 - 4188) + chr(0b1101111) + chr(3683 - 3583) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(10202 - 10100) + '\055' + chr(0b111000))) Lfx5fXZJ_YPK = CIVheOt0RKQX.symbol.Convolution(data=jXP2bhWFwkvW, kernel=(ehT0Px3KOsy9('\x30' + '\x6f' + chr(51), 8), ehT0Px3KOsy9(chr(1760 - 1712) + chr(111) + '\063', 8)), pad=(ehT0Px3KOsy9('\060' + '\x6f' + chr(1149 - 1100), 8), ehT0Px3KOsy9(chr(2053 - 2005) + chr(0b1101001 + 0o6) + chr(0b110001), 8)), num_filter=ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b11100 + 0o24) + '\060' + '\060', 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb_"\xef\x98q\xc7'), chr(0b1100001 + 0o3) + '\145' + '\143' + chr(0b1101111) + chr(0b1100100) + '\145')('\x75' + chr(6909 - 6793) + chr(0b111 + 0o137) + chr(1431 - 1386) + '\x38')) uLvLilOTRvEQ = CIVheOt0RKQX.symbol.Activation(data=Lfx5fXZJ_YPK, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(0b1001001 + 0o33) + chr(0b1100101) + chr(7295 - 7196) + chr(0b1101111) + '\144' + chr(101))(chr(6769 - 6652) + '\164' + '\x66' + chr(56 - 11) + chr(56)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec\x98q\xc7'), chr(0b1100100) + chr(101) + chr(0b1010110 + 0o15) + chr(7481 - 7370) + chr(0b10110 + 0o116) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b100010 + 0o104) + '\055' + '\x38')) kM00RxIcT9d2 = CIVheOt0RKQX.symbol.Convolution(data=uLvLilOTRvEQ, kernel=(ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011), 8)), pad=(ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110 + 0o53), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(49), 8)), num_filter=ehT0Px3KOsy9('\060' + chr(5872 - 5761) + chr(0b11011 + 0o26) + '\x30' + chr(0b110000) + '\x30', 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb_"\xef\x98q\xc6'), chr(5982 - 5882) + '\x65' + chr(99) + chr(0b1000111 + 0o50) + chr(0b1100100) + '\145')('\x75' + chr(0b111111 + 0o65) + chr(0b110000 + 0o66) + chr(45) + chr(0b100 + 0o64))) BEyBy5k2WpIY = CIVheOt0RKQX.symbol.Activation(data=kM00RxIcT9d2, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(0b1100100) + chr(2399 - 2298) + '\x63' + '\157' + chr(0b1000 + 0o134) + chr(8379 - 8278))(chr(117) + chr(0b1110100) + chr(102) + '\055' + '\070'), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec\x98q\xc6'), chr(4395 - 4295) + '\145' + '\143' + chr(0b100110 + 0o111) + chr(0b1000111 + 0o35) + chr(0b10110 + 0o117))(chr(0b111111 + 0o66) + '\164' + '\x66' + chr(45) + '\x38')) LqDl4zZD1bb0 = CIVheOt0RKQX.symbol.Pooling(data=BEyBy5k2WpIY, pool_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5Q4'), chr(7490 - 7390) + chr(0b1000010 + 0o43) + chr(0b100110 + 0o75) + chr(0b111100 + 0o63) + '\144' + chr(101))(chr(0b100011 + 0o122) + chr(7950 - 7834) + '\146' + chr(0b100100 + 0o11) + '\070'), kernel=(ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101011 + 0o10), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063', 8)), stride=(ehT0Px3KOsy9(chr(2225 - 2177) + '\157' + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(9309 - 9198) + chr(49), 8)), pad=(ehT0Px3KOsy9('\x30' + '\157' + chr(2222 - 2173), 8), ehT0Px3KOsy9(chr(69 - 21) + chr(0b1101111) + chr(49), 8)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8_#\xf5\x98'), '\x64' + '\145' + chr(8543 - 8444) + chr(111) + chr(0b101010 + 0o72) + '\145')(chr(8293 - 8176) + chr(0b1110100) + chr(0b1100110) + chr(0b100010 + 0o13) + chr(0b111000))) nA73_XYaRkWg = CIVheOt0RKQX.symbol.Convolution(data=LqDl4zZD1bb0, kernel=(ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51), 8), ehT0Px3KOsy9('\x30' + chr(0b11 + 0o154) + '\063', 8)), pad=(ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b11010 + 0o125) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(4132 - 4021) + chr(0b1010 + 0o54), 8)), dilate=(ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + '\x36', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x36', 8)), num_filter=ehT0Px3KOsy9(chr(286 - 238) + chr(0b1101111) + '\062' + '\060' + chr(0b110000) + chr(48), ord("\x08")), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb_"\xef\x9b'), chr(0b1100100) + chr(101) + chr(0b1011111 + 0o4) + chr(0b0 + 0o157) + chr(7754 - 7654) + '\145')(chr(117) + '\164' + '\146' + '\055' + chr(2053 - 1997))) UcmoL1B4IlTy = CIVheOt0RKQX.symbol.Activation(data=nA73_XYaRkWg, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(0b1100100) + chr(101) + chr(99) + chr(0b11110 + 0o121) + chr(100) + chr(8221 - 8120))(chr(117) + chr(0b1110011 + 0o1) + '\x66' + '\055' + '\x38'), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec\x9b'), chr(6673 - 6573) + '\145' + chr(8702 - 8603) + '\x6f' + chr(100) + chr(8550 - 8449))('\x75' + '\x74' + chr(0b1100110) + chr(45) + chr(0b101111 + 0o11))) q4rNnHjRs_VT = CIVheOt0RKQX.symbol.Convolution(data=UcmoL1B4IlTy, kernel=(ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(49), 8)), pad=(ehT0Px3KOsy9(chr(48) + chr(5644 - 5533) + chr(0b100001 + 0o17), 8), ehT0Px3KOsy9(chr(2261 - 2213) + '\x6f' + '\060', 8)), num_filter=ehT0Px3KOsy9(chr(1726 - 1678) + chr(0b1111 + 0o140) + chr(0b1111 + 0o43) + chr(48) + chr(0b1110 + 0o42) + chr(435 - 387), 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb_"\xef\x9a'), '\x64' + chr(0b0 + 0o145) + chr(0b1100011) + chr(0b1101001 + 0o6) + '\144' + '\145')('\x75' + chr(0b1110100) + chr(10007 - 9905) + '\055' + chr(0b10111 + 0o41))) xFRnJgaXSVgw = CIVheOt0RKQX.symbol.Activation(data=q4rNnHjRs_VT, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(3619 - 3519) + chr(0b1000 + 0o135) + chr(0b0 + 0o143) + chr(4550 - 4439) + '\x64' + chr(0b1100101))(chr(117) + '\164' + chr(102) + '\055' + chr(56)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec\x9a'), chr(9179 - 9079) + '\145' + chr(0b1100011) + '\x6f' + chr(6844 - 6744) + chr(9638 - 9537))('\165' + chr(0b1110100) + '\x66' + chr(0b1011 + 0o42) + '\070')) (W2QJvEff3E8h, EnzhhgZIJqwl) = I_2G4_ln4xgQ(xFRnJgaXSVgw, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0o}'), chr(0b100101 + 0o77) + '\x65' + chr(99) + '\x6f' + chr(5741 - 5641) + chr(0b100001 + 0o104))(chr(117) + '\164' + chr(0b1100110) + '\055' + '\070'), ehT0Px3KOsy9('\060' + '\157' + chr(0b11010 + 0o32) + chr(0b11110 + 0o22) + chr(506 - 458), 8), kernel=(ehT0Px3KOsy9('\x30' + '\x6f' + chr(49), 8), ehT0Px3KOsy9(chr(2136 - 2088) + chr(0b1101111) + chr(49), 8)), pad=(ehT0Px3KOsy9(chr(708 - 660) + chr(0b1101111) + '\060', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(48), 8)), stride=(ehT0Px3KOsy9('\x30' + chr(0b10101 + 0o132) + chr(0b110001), 8), ehT0Px3KOsy9(chr(176 - 128) + chr(0b1101111) + '\061', 8)), act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(0b1100100) + '\x65' + chr(0b1011 + 0o130) + chr(0b1101111) + chr(100) + chr(776 - 675))(chr(0b1100110 + 0o17) + '\164' + '\x66' + '\x2d' + '\x38'), use_batchnorm=ehT0Px3KOsy9(chr(260 - 212) + chr(6668 - 6557) + chr(1637 - 1589), 8)) (ct06Cm461Gqt, _SFdEBdMeHcJ) = I_2G4_ln4xgQ(EnzhhgZIJqwl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0o~'), chr(100) + chr(1772 - 1671) + '\143' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(3246 - 3129) + '\164' + chr(0b1100110) + '\055' + '\070'), ehT0Px3KOsy9(chr(398 - 350) + '\157' + '\061' + chr(0b10010 + 0o36) + chr(0b110000) + chr(0b1011 + 0o45), 8), kernel=(ehT0Px3KOsy9('\060' + chr(9852 - 9741) + '\063', 8), ehT0Px3KOsy9('\060' + chr(0b1000000 + 0o57) + '\063', 8)), pad=(ehT0Px3KOsy9('\x30' + chr(9477 - 9366) + '\x31', 8), ehT0Px3KOsy9('\060' + '\157' + chr(954 - 905), 8)), stride=(ehT0Px3KOsy9(chr(48) + chr(111) + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062', 8)), act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), '\x64' + '\145' + '\143' + chr(0b1000001 + 0o56) + chr(9993 - 9893) + '\145')(chr(117) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(56)), use_batchnorm=ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\060', 8)) (gEBQwRHPr_PR, xnMcCEytVNhw) = I_2G4_ln4xgQ(_SFdEBdMeHcJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1o}'), chr(3074 - 2974) + chr(5358 - 5257) + '\143' + chr(0b1000000 + 0o57) + '\144' + chr(101))(chr(0b1110101) + '\164' + chr(0b1100001 + 0o5) + '\x2d' + '\x38'), ehT0Px3KOsy9('\060' + '\157' + chr(0b10010 + 0o40) + '\060' + chr(1487 - 1439), 8), kernel=(ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + chr(49), 8), ehT0Px3KOsy9('\060' + chr(0b1100101 + 0o12) + chr(1954 - 1905), 8)), pad=(ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1338 - 1290), 8), ehT0Px3KOsy9(chr(0b110000) + chr(4194 - 4083) + '\060', 8)), stride=(ehT0Px3KOsy9(chr(1193 - 1145) + chr(0b1101111) + chr(49), 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b110011 + 0o74) + chr(0b11101 + 0o24), 8)), act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(9209 - 9109) + '\x65' + chr(2988 - 2889) + chr(111) + chr(0b1100100) + chr(101))(chr(117) + chr(0b1110100) + chr(0b110010 + 0o64) + chr(1073 - 1028) + chr(2853 - 2797)), use_batchnorm=ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(0b110000), 8)) (OmDmVB3oo9Gm, qAWkzESgKOMw) = I_2G4_ln4xgQ(xnMcCEytVNhw, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1o~'), chr(0b1100100) + chr(101) + chr(0b1 + 0o142) + chr(0b1101111) + '\144' + chr(8891 - 8790))(chr(0b1110101) + chr(8164 - 8048) + chr(0b111010 + 0o54) + chr(0b101101) + '\x38'), ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + chr(0b110100) + '\x30' + chr(1877 - 1829), 8), kernel=(ehT0Px3KOsy9(chr(48) + chr(3204 - 3093) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + '\x33', 8)), pad=(ehT0Px3KOsy9(chr(1848 - 1800) + '\x6f' + '\061', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001), 8)), stride=(ehT0Px3KOsy9('\x30' + '\157' + chr(50), 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(375 - 325), 8)), act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(100) + chr(10093 - 9992) + chr(0b1100011) + '\157' + '\x64' + '\145')('\165' + chr(0b1110100) + chr(0b10110 + 0o120) + '\055' + chr(0b111000)), use_batchnorm=ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + '\x30', 8)) (WJ3mkY_QEC5Y, yt8cH0pNacGW) = I_2G4_ln4xgQ(qAWkzESgKOMw, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\x00\x13\xa8'), chr(0b100001 + 0o103) + chr(101) + chr(3049 - 2950) + chr(9303 - 9192) + '\144' + chr(0b1100101))('\x75' + chr(6954 - 6838) + '\146' + chr(0b11111 + 0o16) + chr(837 - 781)), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11011 + 0o27) + chr(0b110000) + chr(0b10111 + 0o31), 8), kernel=(ehT0Px3KOsy9(chr(1450 - 1402) + '\x6f' + '\x31', 8), ehT0Px3KOsy9(chr(48) + chr(0b1100000 + 0o17) + '\061', 8)), pad=(ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 8), ehT0Px3KOsy9(chr(1395 - 1347) + chr(0b110111 + 0o70) + '\x30', 8)), stride=(ehT0Px3KOsy9(chr(1910 - 1862) + '\157' + '\x31', 8), ehT0Px3KOsy9(chr(807 - 759) + '\x6f' + chr(1100 - 1051), 8)), act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(0b1100100) + '\145' + chr(0b11 + 0o140) + chr(8491 - 8380) + chr(0b1011010 + 0o12) + chr(101))(chr(0b100111 + 0o116) + chr(0b1110100) + '\x66' + chr(45) + chr(0b111000)), use_batchnorm=ehT0Px3KOsy9(chr(1645 - 1597) + chr(111) + chr(71 - 23), 8)) (GN1Ej7CJRFUD, gSikRB_LSTt6) = I_2G4_ln4xgQ(yt8cH0pNacGW, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\x00\x13\xab'), chr(4821 - 4721) + chr(101) + chr(0b1100 + 0o127) + chr(111) + chr(0b101101 + 0o67) + chr(101))(chr(117) + '\164' + chr(0b10000 + 0o126) + chr(925 - 880) + chr(194 - 138)), ehT0Px3KOsy9(chr(1663 - 1615) + chr(0b1010 + 0o145) + chr(0b110100) + '\060' + chr(1384 - 1336), 8), kernel=(ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51), 8)), pad=(ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x30', 8)), stride=(ehT0Px3KOsy9(chr(370 - 322) + chr(10346 - 10235) + chr(49), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31', 8)), act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(8649 - 8549) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(5324 - 5223))('\165' + '\x74' + '\146' + chr(45) + '\070'), use_batchnorm=ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 8)) (Ne8akRkHPc18, MAt6crBjzhxf) = I_2G4_ln4xgQ(gSikRB_LSTt6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\x01\x13\xa8'), chr(4093 - 3993) + chr(0b1000101 + 0o40) + '\x63' + chr(0b1101111) + chr(234 - 134) + chr(101))('\165' + chr(1473 - 1357) + chr(0b1000001 + 0o45) + chr(0b11001 + 0o24) + chr(56)), ehT0Px3KOsy9('\x30' + chr(5978 - 5867) + '\062' + chr(0b110000) + chr(158 - 110), 8), kernel=(ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + '\x31', 8), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(1266 - 1217), 8)), pad=(ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(48), 8), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + '\x30', 8)), stride=(ehT0Px3KOsy9('\x30' + chr(0b11000 + 0o127) + chr(0b1000 + 0o51), 8), ehT0Px3KOsy9('\x30' + '\157' + '\061', 8)), act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), '\x64' + chr(6360 - 6259) + '\143' + chr(0b100011 + 0o114) + chr(100) + chr(0b1100101))('\165' + '\x74' + chr(0b1000011 + 0o43) + '\x2d' + '\x38'), use_batchnorm=ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + chr(48), 8)) (LZ5WeR63jz1c, T3ZwRn6LfrfX) = I_2G4_ln4xgQ(MAt6crBjzhxf, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\x01\x13\xab'), '\144' + chr(0b1100101) + chr(0b1010010 + 0o21) + '\x6f' + chr(0b1100010 + 0o2) + chr(5168 - 5067))('\165' + chr(0b11110 + 0o126) + chr(102) + chr(0b101101) + chr(278 - 222)), ehT0Px3KOsy9(chr(1629 - 1581) + chr(0b1000 + 0o147) + '\x34' + '\x30' + chr(0b1110 + 0o42), 8), kernel=(ehT0Px3KOsy9('\x30' + chr(5604 - 5493) + chr(51), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51), 8)), pad=(ehT0Px3KOsy9('\x30' + chr(7341 - 7230) + chr(48), 8), ehT0Px3KOsy9('\060' + chr(4433 - 4322) + '\060', 8)), stride=(ehT0Px3KOsy9('\060' + '\157' + chr(609 - 560), 8), ehT0Px3KOsy9(chr(0b110000) + chr(4189 - 4078) + chr(2164 - 2115), 8)), act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaU \xec'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b110 + 0o137))('\165' + chr(7933 - 7817) + '\x66' + '\055' + chr(0b110100 + 0o4)), use_batchnorm=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(48), 8)) Cn9XfnGZRXZa = [Q_vhuWH5TFoJ, xFRnJgaXSVgw, _SFdEBdMeHcJ, qAWkzESgKOMw, gSikRB_LSTt6, T3ZwRn6LfrfX] Q55tUpoH0W5L = [[0.1, 0.141], [0.2, 0.272], [0.37, 0.447], [0.54, 0.619], [0.71, 0.79], [0.88, 0.961]] I_jsLlYDecis = [[ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(49), 8), ehT0Px3KOsy9(chr(48) + chr(534 - 423) + chr(2489 - 2439), 8), 0.5], [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100101 + 0o14), 8), ehT0Px3KOsy9(chr(1296 - 1248) + chr(0b1101 + 0o142) + chr(382 - 332), 8), 0.5, ehT0Px3KOsy9(chr(48) + chr(111) + '\x33', 8), 1.0 / ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(51), 8)], [ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b101111 + 0o3), 8), 0.5, ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(625 - 574), 8), 1.0 / ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(51), 8)], [ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + chr(49), 8), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(8928 - 8817) + chr(0b11111 + 0o23), 8), 0.5, ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(238 - 187), 8), 1.0 / ehT0Px3KOsy9('\060' + chr(11754 - 11643) + '\063', 8)], [ehT0Px3KOsy9('\x30' + '\157' + '\x31', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10111 + 0o33), 8), 0.5], [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + chr(1532 - 1421) + chr(50), 8), 0.5]] d0ofCsIARAWm = [ehT0Px3KOsy9('\x30' + chr(0b10111 + 0o130) + chr(0b100110 + 0o14) + chr(0b110100), 8), -ehT0Px3KOsy9(chr(539 - 491) + chr(0b1101111) + chr(0b11111 + 0o22), 8), -ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(0b101101 + 0o4), 8), -ehT0Px3KOsy9(chr(423 - 375) + chr(7261 - 7150) + chr(0b110001), 8), -ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31', 8), -ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b111 + 0o150) + '\061', 8)] v0VhEmlMsO_l = [OeWW0F1dBPRQ / 300.0 for OeWW0F1dBPRQ in [ehT0Px3KOsy9('\x30' + chr(0b1101100 + 0o3) + chr(0b1000 + 0o51) + chr(1122 - 1074), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(6131 - 6020) + '\062' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + '\064' + chr(0b101101 + 0o3), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b11 + 0o55) + chr(48), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110100) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x34' + chr(305 - 252) + chr(52), 0b1000)]] X1ZpHSxyKbHn = [ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\x30' + chr(48) + chr(0b11110 + 0o22), 8)] (JqvBRyjVyTLN, a7RDDLAau23o, jyxXqeE0OOIS) = wM4TNEBKRe2s(Cn9XfnGZRXZa, i6loyAgxUM2t, sizes=Q55tUpoH0W5L, ratios=I_jsLlYDecis, normalization=d0ofCsIARAWm, num_channels=X1ZpHSxyKbHn, clip=ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(0b110000), 8), interm_layer=ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000 + 0o0), 8), steps=v0VhEmlMsO_l) J8N_NsgU9OIv = CIVheOt0RKQX.symbol.contrib.MultiBoxTarget(*[jyxXqeE0OOIS, TRUOLFLuD08x, a7RDDLAau23o], overlap_threshold=0.5, ignore_label=-ehT0Px3KOsy9('\060' + chr(0b110001 + 0o76) + chr(49), 8), negative_mining_ratio=ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(1513 - 1462), 8), minimum_negative_samples=ehT0Px3KOsy9('\060' + '\157' + chr(1869 - 1821), 8), negative_mining_thresh=0.5, variances=(0.1, 0.1, 0.2, 0.2), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5E \xed\xc4L\x9a\x91\x88\xb3@\xe5\xc9;\xe9'), '\x64' + chr(101) + chr(0b1011 + 0o130) + '\x6f' + chr(100) + chr(0b1000011 + 0o42))(chr(117) + chr(0b1110100) + chr(102) + chr(1067 - 1022) + '\070')) DfCR6lb5TOnQ = J8N_NsgU9OIv[ehT0Px3KOsy9(chr(1584 - 1536) + chr(0b1110 + 0o141) + '\060', 8)] aatU9BI02453 = J8N_NsgU9OIv[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49), 8)] CCiEZ64ZJDbt = J8N_NsgU9OIv[ehT0Px3KOsy9(chr(2077 - 2029) + chr(111) + chr(50), 8)] TvYGbS1b1DAQ = CIVheOt0RKQX.symbol.SoftmaxOutput(data=a7RDDLAau23o, label=CCiEZ64ZJDbt, ignore_label=-ehT0Px3KOsy9('\x30' + chr(1969 - 1858) + chr(1612 - 1563), 8), use_ignore=ehT0Px3KOsy9('\060' + chr(111) + '\x31', 8), grad_scale=1.0, multi_output=ehT0Px3KOsy9(chr(1536 - 1488) + '\157' + '\x31', 8), normalization=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaeQ \xf0\xc9'), '\x64' + '\145' + chr(0b100010 + 0o101) + '\x6f' + '\144' + chr(0b101 + 0o140))('\x75' + '\x74' + '\x66' + '\055' + '\x38'), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\\?\xc6\xdd\\\x9a\x8b'), chr(0b1100100) + '\145' + '\x63' + chr(9763 - 9652) + chr(0b10010 + 0o122) + chr(3211 - 3110))(chr(0b100100 + 0o121) + chr(4374 - 4258) + chr(0b1001001 + 0o35) + chr(0b100100 + 0o11) + chr(0b110001 + 0o7))) mn6sFF75EJi_ = CIVheOt0RKQX.symbol.smooth_l1(name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4_/\xc6\xc1A\x86\x9a\x88'), chr(100) + '\x65' + '\x63' + chr(8779 - 8668) + '\x64' + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b10010 + 0o33) + chr(0b1111 + 0o51)), data=aatU9BI02453 * (JqvBRyjVyTLN - DfCR6lb5TOnQ), scalar=1.0) ZnhkLgDOWWHc = CIVheOt0RKQX.symbol.MakeLoss(mn6sFF75EJi_, grad_scale=1.0, normalization=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaeQ \xf0\xc9'), chr(220 - 120) + '\145' + chr(99) + chr(0b101101 + 0o102) + chr(0b10 + 0o142) + chr(101))('\165' + '\164' + chr(102) + chr(0b11111 + 0o16) + '\070'), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4_/\xc6\xc1A\x86\x9a'), chr(2011 - 1911) + chr(9698 - 9597) + '\143' + chr(7389 - 7278) + chr(0b100000 + 0o104) + '\x65')(chr(0b1011101 + 0o30) + chr(0b1010110 + 0o36) + chr(102) + chr(1530 - 1485) + chr(2805 - 2749))) lNTbLNUt6ktU = CIVheOt0RKQX.symbol.MakeLoss(data=CCiEZ64ZJDbt, grad_scale=ehT0Px3KOsy9('\x30' + '\x6f' + chr(48), 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\\?\xc6\xc1O\x97\x8c\xbb'), chr(0b1100100) + chr(0b1010010 + 0o23) + '\143' + chr(0b1101111) + chr(0b1100001 + 0o3) + chr(101))(chr(8676 - 8559) + chr(7054 - 6938) + chr(102) + '\x2d' + chr(0b10111 + 0o41))) WfUKrzEI6HCc = CIVheOt0RKQX.symbol.contrib.MultiBoxDetection(*[TvYGbS1b1DAQ, JqvBRyjVyTLN, jyxXqeE0OOIS], name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbcU8\xfc\xceZ\x9c\x86\xb9'), chr(100) + '\145' + chr(0b1110 + 0o125) + '\157' + chr(0b1100100) + '\145')(chr(4604 - 4487) + chr(12607 - 12491) + chr(8222 - 8120) + chr(629 - 584) + '\x38'), nms_threshold=B1zO81yiJH6n, force_suppress=e_bjlViiPD4p, variances=(0.1, 0.1, 0.2, 0.2), nms_topk=ThWUW9vG0TzH) WfUKrzEI6HCc = CIVheOt0RKQX.symbol.MakeLoss(data=WfUKrzEI6HCc, grad_scale=ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b100 + 0o54), 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbcU8\xc6\xc2[\x81'), chr(100) + '\x65' + '\x63' + chr(111) + '\144' + chr(0b1100101))('\165' + chr(8571 - 8455) + chr(0b1000110 + 0o40) + chr(1017 - 972) + '\070')) UkrMp_I0RDmo = CIVheOt0RKQX.symbol.Group([TvYGbS1b1DAQ, ZnhkLgDOWWHc, lNTbLNUt6ktU, WfUKrzEI6HCc]) return UkrMp_I0RDmo
apache/incubator-mxnet
example/ssd/symbol/legacy_vgg16_ssd_300.py
get_symbol
def get_symbol(num_classes=20, nms_thresh=0.5, force_suppress=False, nms_topk=400, **kwargs): """ Single-shot multi-box detection with VGG 16 layers ConvNet This is a modified version, with fc6/fc7 layers replaced by conv layers And the network is slightly smaller than original VGG 16 network This is the detection network Parameters: ---------- num_classes: int number of object classes not including background nms_thresh : float threshold of overlap for non-maximum suppression force_suppress : boolean whether suppress different class objects nms_topk : int apply NMS to top K detections Returns: ---------- mx.Symbol """ net = get_symbol_train(num_classes) cls_preds = net.get_internals()["multibox_cls_pred_output"] loc_preds = net.get_internals()["multibox_loc_pred_output"] anchor_boxes = net.get_internals()["multibox_anchors_output"] cls_prob = mx.symbol.softmax(data=cls_preds, axis=1, name='cls_prob') out = mx.symbol.contrib.MultiBoxDetection(*[cls_prob, loc_preds, anchor_boxes], \ name="detection", nms_threshold=nms_thresh, force_suppress=force_suppress, variances=(0.1, 0.1, 0.2, 0.2), nms_topk=nms_topk) return out
python
def get_symbol(num_classes=20, nms_thresh=0.5, force_suppress=False, nms_topk=400, **kwargs): """ Single-shot multi-box detection with VGG 16 layers ConvNet This is a modified version, with fc6/fc7 layers replaced by conv layers And the network is slightly smaller than original VGG 16 network This is the detection network Parameters: ---------- num_classes: int number of object classes not including background nms_thresh : float threshold of overlap for non-maximum suppression force_suppress : boolean whether suppress different class objects nms_topk : int apply NMS to top K detections Returns: ---------- mx.Symbol """ net = get_symbol_train(num_classes) cls_preds = net.get_internals()["multibox_cls_pred_output"] loc_preds = net.get_internals()["multibox_loc_pred_output"] anchor_boxes = net.get_internals()["multibox_anchors_output"] cls_prob = mx.symbol.softmax(data=cls_preds, axis=1, name='cls_prob') out = mx.symbol.contrib.MultiBoxDetection(*[cls_prob, loc_preds, anchor_boxes], \ name="detection", nms_threshold=nms_thresh, force_suppress=force_suppress, variances=(0.1, 0.1, 0.2, 0.2), nms_topk=nms_topk) return out
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Single-shot multi-box detection with VGG 16 layers ConvNet This is a modified version, with fc6/fc7 layers replaced by conv layers And the network is slightly smaller than original VGG 16 network This is the detection network Parameters: ---------- num_classes: int number of object classes not including background nms_thresh : float threshold of overlap for non-maximum suppression force_suppress : boolean whether suppress different class objects nms_topk : int apply NMS to top K detections Returns: ---------- mx.Symbol
[ "Single", "-", "shot", "multi", "-", "box", "detection", "with", "VGG", "16", "layers", "ConvNet", "This", "is", "a", "modified", "version", "with", "fc6", "/", "fc7", "layers", "replaced", "by", "conv", "layers", "And", "the", "network", "is", "slightly", "smaller", "than", "original", "VGG", "16", "network", "This", "is", "the", "detection", "network" ]
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/symbol/legacy_vgg16_ssd_300.py#L175-L207
train
Returns a single - shot multi - box detection network with VGG 16 layers replaced by conv layers
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\061' + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + chr(0b110011) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(3314 - 3203) + chr(0b110011) + chr(0b110111) + chr(52), 41617 - 41609), ehT0Px3KOsy9('\x30' + '\x6f' + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2454 - 2403) + chr(0b100101 + 0o22) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110111 + 0o70) + chr(0b110011) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1001 - 953) + chr(111) + chr(2134 - 2084) + chr(116 - 64) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10110 + 0o35) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b1011 + 0o47) + chr(0b1001 + 0o55), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1011110 + 0o21) + '\063' + chr(51) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\063' + chr(0b100011 + 0o21), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\x31' + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(475 - 425) + '\063' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(346 - 296) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110101) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(54) + chr(52), 54279 - 54271), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1 + 0o60) + chr(0b10110 + 0o32) + chr(2494 - 2444), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(54) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(224 - 113) + chr(49) + chr(0b101000 + 0o12) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110011 + 0o74) + chr(0b10100 + 0o37) + '\065' + chr(0b110110), 8), ehT0Px3KOsy9(chr(364 - 316) + '\157' + chr(51) + '\063' + chr(0b110011), 19003 - 18995), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1295 - 1244) + '\x31' + chr(0b1011 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(932 - 884) + '\x6f' + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7161 - 7050) + chr(0b100111 + 0o14) + chr(369 - 321) + chr(673 - 622), 62907 - 62899), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + '\x32' + chr(1069 - 1017) + chr(820 - 769), 0b1000), ehT0Px3KOsy9('\060' + chr(9085 - 8974) + '\061' + chr(699 - 644), 0o10), ehT0Px3KOsy9('\060' + chr(7771 - 7660) + chr(0b100101 + 0o14) + chr(0b110001) + chr(400 - 351), 54976 - 54968), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b101111 + 0o2) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x35' + chr(590 - 539), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(1736 - 1685) + chr(0b110 + 0o54) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2088 - 2036), 52174 - 52166), ehT0Px3KOsy9(chr(0b110000) + chr(9864 - 9753) + chr(0b1101 + 0o45) + chr(0b110010) + chr(1251 - 1197), 8), ehT0Px3KOsy9(chr(1460 - 1412) + chr(0b11011 + 0o124) + chr(50) + chr(618 - 567) + chr(0b11110 + 0o30), 13520 - 13512), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b110010) + chr(0b11101 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + '\062' + chr(0b110111) + chr(0b110011), 3411 - 3403), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + chr(0b110011 + 0o0) + '\063' + '\062', 30882 - 30874), ehT0Px3KOsy9('\060' + '\x6f' + '\x37' + '\060', 55278 - 55270), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(49) + '\065' + chr(1430 - 1381), 64391 - 64383)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(12089 - 11978) + chr(53) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5'), chr(0b1100100) + '\145' + chr(99) + '\157' + '\x64' + '\x65')('\x75' + chr(0b1101110 + 0o6) + chr(0b1100110) + '\x2d' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Rc2yr7B7_1Tw(i6loyAgxUM2t=ehT0Px3KOsy9('\060' + '\157' + '\062' + '\x34', ord("\x08")), B1zO81yiJH6n=0.5, e_bjlViiPD4p=ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', ord("\x08")), ThWUW9vG0TzH=ehT0Px3KOsy9(chr(1417 - 1369) + '\157' + chr(1871 - 1817) + chr(700 - 650) + '\x30', 0b1000), **M8EIoTs2GJXE): DyzboKL9cczb = Hih03lch9w7E(i6loyAgxUM2t) a7RDDLAau23o = DyzboKL9cczb.get_internals()[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6l\x90q\x90}\xc8f\xc9\xbc@\xefQ\xea"\x8bP\x1dX\'\x9a\xab\xbfu'), chr(5824 - 5724) + chr(0b1100101) + chr(99) + '\157' + '\144' + chr(0b1000 + 0o135))(chr(117) + chr(5123 - 5007) + chr(9647 - 9545) + chr(0b101011 + 0o2) + chr(0b11111 + 0o31))] JqvBRyjVyTLN = DyzboKL9cczb.get_internals()[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6l\x90q\x90}\xc8f\xc9\xb3C\xffQ\xea"\x8bP\x1dX\'\x9a\xab\xbfu'), chr(100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b101001 + 0o73) + chr(6018 - 5917))(chr(117) + chr(0b1110100) + chr(0b101010 + 0o74) + chr(0b101101) + '\070')] jyxXqeE0OOIS = DyzboKL9cczb.get_internals()[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6l\x90q\x90}\xc8f\xc9\xbeB\xfff\xf5"\x9dk-B&\x9e\xae\xbe'), chr(100) + '\x65' + chr(8483 - 8384) + '\x6f' + chr(0b1010100 + 0o20) + chr(0b1010001 + 0o24))('\x75' + '\x74' + chr(102) + chr(0b100011 + 0o12) + chr(56))] TvYGbS1b1DAQ = CIVheOt0RKQX.symbol.softmax(data=a7RDDLAau23o, axis=ehT0Px3KOsy9(chr(1573 - 1525) + '\x6f' + chr(1890 - 1841), 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8u\x8fZ\x89m\xc8|'), chr(100) + chr(101) + chr(99) + '\x6f' + chr(100) + '\x65')(chr(7834 - 7717) + chr(2136 - 2020) + chr(0b1001000 + 0o36) + '\055' + chr(0b111000))) UkrMp_I0RDmo = CIVheOt0RKQX.symbol.contrib.MultiBoxDetection(*[TvYGbS1b1DAQ, JqvBRyjVyTLN, jyxXqeE0OOIS], name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xef|\x88`\x9ak\xceq\xf8'), chr(4368 - 4268) + chr(101) + chr(907 - 808) + chr(7854 - 7743) + chr(0b1100100) + chr(0b1100101))(chr(0b1000 + 0o155) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)), nms_threshold=B1zO81yiJH6n, force_suppress=e_bjlViiPD4p, variances=(0.1, 0.1, 0.2, 0.2), nms_topk=ThWUW9vG0TzH) return UkrMp_I0RDmo
apache/incubator-mxnet
python/mxnet/module/module.py
Module.load
def load(prefix, epoch, load_optimizer_states=False, **kwargs): """Creates a model from previously saved checkpoint. Parameters ---------- prefix : str path prefix of saved model files. You should have "prefix-symbol.json", "prefix-xxxx.params", and optionally "prefix-xxxx.states", where xxxx is the epoch number. epoch : int epoch to load. load_optimizer_states : bool whether to load optimizer states. Checkpoint needs to have been made with save_optimizer_states=True. data_names : list of str Default is `('data')` for a typical model used in image classification. label_names : list of str Default is `('softmax_label')` for a typical model used in image classification. logger : Logger Default is `logging`. context : Context or list of Context Default is ``cpu()``. work_load_list : list of number Default ``None``, indicating uniform workload. fixed_param_names: list of str Default ``None``, indicating no network parameters are fixed. """ sym, args, auxs = load_checkpoint(prefix, epoch) mod = Module(symbol=sym, **kwargs) mod._arg_params = args mod._aux_params = auxs mod.params_initialized = True if load_optimizer_states: mod._preload_opt_states = '%s-%04d.states'%(prefix, epoch) return mod
python
def load(prefix, epoch, load_optimizer_states=False, **kwargs): """Creates a model from previously saved checkpoint. Parameters ---------- prefix : str path prefix of saved model files. You should have "prefix-symbol.json", "prefix-xxxx.params", and optionally "prefix-xxxx.states", where xxxx is the epoch number. epoch : int epoch to load. load_optimizer_states : bool whether to load optimizer states. Checkpoint needs to have been made with save_optimizer_states=True. data_names : list of str Default is `('data')` for a typical model used in image classification. label_names : list of str Default is `('softmax_label')` for a typical model used in image classification. logger : Logger Default is `logging`. context : Context or list of Context Default is ``cpu()``. work_load_list : list of number Default ``None``, indicating uniform workload. fixed_param_names: list of str Default ``None``, indicating no network parameters are fixed. """ sym, args, auxs = load_checkpoint(prefix, epoch) mod = Module(symbol=sym, **kwargs) mod._arg_params = args mod._aux_params = auxs mod.params_initialized = True if load_optimizer_states: mod._preload_opt_states = '%s-%04d.states'%(prefix, epoch) return mod
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Creates a model from previously saved checkpoint. Parameters ---------- prefix : str path prefix of saved model files. You should have "prefix-symbol.json", "prefix-xxxx.params", and optionally "prefix-xxxx.states", where xxxx is the epoch number. epoch : int epoch to load. load_optimizer_states : bool whether to load optimizer states. Checkpoint needs to have been made with save_optimizer_states=True. data_names : list of str Default is `('data')` for a typical model used in image classification. label_names : list of str Default is `('softmax_label')` for a typical model used in image classification. logger : Logger Default is `logging`. context : Context or list of Context Default is ``cpu()``. work_load_list : list of number Default ``None``, indicating uniform workload. fixed_param_names: list of str Default ``None``, indicating no network parameters are fixed.
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/module.py#L127-L163
train
Creates a new model from a previously saved checkpoint.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(51) + chr(1141 - 1092) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\065' + '\x34', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b1 + 0o57) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9276 - 9165) + '\061' + '\x32' + chr(2341 - 2287), ord("\x08")), ehT0Px3KOsy9(chr(1363 - 1315) + chr(1373 - 1262) + chr(0b110010) + chr(0b1 + 0o65) + chr(0b100100 + 0o23), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001101 + 0o42) + chr(0b110011 + 0o0) + chr(0b110110) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(1298 - 1245) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(853 - 804) + '\060' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b111 + 0o52) + chr(256 - 205) + '\x30', 48081 - 48073), ehT0Px3KOsy9(chr(2258 - 2210) + chr(4562 - 4451) + chr(1259 - 1208) + chr(0b110000) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(48) + '\065', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b11100 + 0o31) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(54) + chr(1676 - 1622), 51856 - 51848), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + '\x33' + '\x31' + chr(2673 - 2618), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(0b110010) + '\x35' + chr(52), 50971 - 50963), ehT0Px3KOsy9(chr(1906 - 1858) + '\157' + '\062' + chr(0b1 + 0o64) + chr(1103 - 1049), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6323 - 6212) + '\x31' + chr(1416 - 1363) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x34' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11623 - 11512) + '\x31' + chr(0b1111 + 0o47) + chr(0b11010 + 0o31), 21555 - 21547), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(48) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(48) + chr(0b101110 + 0o5), 8), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(0b1 + 0o64) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(390 - 342) + chr(6460 - 6349) + chr(49) + chr(53) + chr(0b100110 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(564 - 513) + chr(447 - 398) + chr(48), 0b1000), ehT0Px3KOsy9(chr(259 - 211) + '\157' + chr(0b110001) + '\062' + '\x36', 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\067' + chr(0b11101 + 0o31), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + chr(0b110011) + chr(704 - 649) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10396 - 10285) + chr(306 - 255), 54888 - 54880), ehT0Px3KOsy9(chr(48) + chr(5057 - 4946) + chr(0b110110) + chr(1346 - 1297), 0o10), ehT0Px3KOsy9(chr(48) + chr(10917 - 10806) + chr(0b110010) + chr(0b110101) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\063' + '\x34', 3868 - 3860), ehT0Px3KOsy9(chr(1418 - 1370) + chr(0b1101111) + chr(0b110001) + chr(0b101110 + 0o7) + chr(0b110011), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b11 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(1217 - 1169) + '\x6f' + chr(1774 - 1723) + chr(2528 - 2473) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001 + 0o0) + '\062' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(686 - 634) + chr(0b1000 + 0o53), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(7668 - 7557) + '\x31' + '\061' + chr(2027 - 1973), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110011) + '\065', 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(2206 - 2095) + chr(0b10 + 0o60) + chr(52) + chr(0b100010 + 0o20), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b110100 + 0o73) + chr(0b1110 + 0o47) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2'), '\x64' + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(5196 - 5095))('\165' + '\164' + chr(1684 - 1582) + chr(1684 - 1639) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def mxtdQMeiwJZJ(K1Ha0XjJTAE7, LWTVW06OsTjl, Z_tYAi2ifgjv=ehT0Px3KOsy9(chr(350 - 302) + chr(0b1010101 + 0o32) + '\060', 43400 - 43392), **M8EIoTs2GJXE): (I7QF3KlS7cYz, kJDRfRhcZHjS, oAHyZTrtIYb8) = nhXjZl9bd8HA(K1Ha0XjJTAE7, LWTVW06OsTjl) JHJR37KvkQhF = xUAoUBrV8Bpt(symbol=I7QF3KlS7cYz, **M8EIoTs2GJXE) JHJR37KvkQhF.lfFets4_IScP = kJDRfRhcZHjS JHJR37KvkQhF.S860daUn0a8R = oAHyZTrtIYb8 JHJR37KvkQhF.L8zzpQHE4Ozm = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001), ord("\x08")) if Z_tYAi2ifgjv: JHJR37KvkQhF.T5Uehc5cQ8U9 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9_\xabs\x87\xc0Hl+\xb7\xe4\\S\xbc'), chr(0b1100100) + chr(101) + '\143' + '\x6f' + chr(3899 - 3799) + chr(0b1100000 + 0o5))('\165' + '\164' + '\x66' + '\055' + chr(692 - 636)) % (K1Ha0XjJTAE7, LWTVW06OsTjl) return JHJR37KvkQhF