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onnx/onnx
|
onnx/__init__.py
|
_deserialize
|
def _deserialize(s, proto): # type: (bytes, _Proto) -> _Proto
'''
Parse bytes into a in-memory proto
@params
s is bytes containing serialized proto
proto is a in-memory proto object
@return
The proto instance filled in by s
'''
if not isinstance(s, bytes):
raise ValueError('Parameter s must be bytes, but got type: {}'.format(type(s)))
if not (hasattr(proto, 'ParseFromString') and callable(proto.ParseFromString)):
raise ValueError('No ParseFromString method is detected. '
'\ntype is {}'.format(type(proto)))
decoded = cast(Optional[int], proto.ParseFromString(s))
if decoded is not None and decoded != len(s):
raise google.protobuf.message.DecodeError(
"Protobuf decoding consumed too few bytes: {} out of {}".format(
decoded, len(s)))
return proto
|
python
|
def _deserialize(s, proto): # type: (bytes, _Proto) -> _Proto
'''
Parse bytes into a in-memory proto
@params
s is bytes containing serialized proto
proto is a in-memory proto object
@return
The proto instance filled in by s
'''
if not isinstance(s, bytes):
raise ValueError('Parameter s must be bytes, but got type: {}'.format(type(s)))
if not (hasattr(proto, 'ParseFromString') and callable(proto.ParseFromString)):
raise ValueError('No ParseFromString method is detected. '
'\ntype is {}'.format(type(proto)))
decoded = cast(Optional[int], proto.ParseFromString(s))
if decoded is not None and decoded != len(s):
raise google.protobuf.message.DecodeError(
"Protobuf decoding consumed too few bytes: {} out of {}".format(
decoded, len(s)))
return proto
|
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2f7dc10f03a072526d94b6820cedbf2a1ec5a2c4
|
https://github.com/onnx/onnx/blob/2f7dc10f03a072526d94b6820cedbf2a1ec5a2c4/onnx/__init__.py#L76-L99
|
train
|
Deserialize bytes into a in - memory proto object returning the resulting proto object.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1 + 0o62) + chr(0b110101) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001 + 0o0) + '\x30' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1970 - 1922) + '\157' + chr(50) + chr(52) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(1832 - 1781) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b110111) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(70 - 22) + chr(0b1001001 + 0o46) + chr(0b10001 + 0o42) + '\066' + chr(0b110100), 17034 - 17026), ehT0Px3KOsy9('\060' + '\157' + chr(0b100011 + 0o22) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1264 - 1214) + '\x33' + '\062', 19950 - 19942), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2150 - 2100) + chr(0b1101 + 0o46) + chr(49), 43561 - 43553), ehT0Px3KOsy9('\x30' + chr(3845 - 3734) + chr(0b110010) + chr(2336 - 2281) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + chr(0b110100) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(2904 - 2793) + '\x32' + chr(2546 - 2495) + chr(48), 56752 - 56744), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(6675 - 6564) + '\061' + chr(0b110111) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(799 - 688) + '\061' + chr(0b10110 + 0o34) + chr(0b111 + 0o57), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + '\x31' + chr(0b101111 + 0o5) + chr(0b101000 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(536 - 484) + chr(53), 17036 - 17028), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001001 + 0o46) + chr(0b101001 + 0o11) + chr(0b110100) + chr(0b11111 + 0o25), 596 - 588), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(54) + chr(2122 - 2072), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(1960 - 1849) + chr(167 - 118) + '\065' + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110 + 0o53) + chr(0b101111 + 0o7) + '\x37', 20333 - 20325), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(2437 - 2384) + chr(1095 - 1046), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\067' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(49) + '\065' + chr(679 - 628), 56577 - 56569), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(185 - 134) + '\x35' + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b110011 + 0o3) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2587 - 2476) + chr(867 - 816) + chr(51) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(0b110001) + chr(51) + chr(0b10000 + 0o41), 0o10), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + '\x37' + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b11100 + 0o24) + chr(923 - 869), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b100110 + 0o15) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101001 + 0o106) + chr(2499 - 2449) + '\x37' + chr(1860 - 1810), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b11111 + 0o120) + chr(2119 - 2070) + chr(949 - 894) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1355 - 1302) + chr(49), 0o10), ehT0Px3KOsy9(chr(1059 - 1011) + chr(0b1010000 + 0o37) + '\x33' + chr(0b110000) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + chr(0b10100 + 0o36) + chr(0b1001 + 0o47) + chr(0b1011 + 0o51), 8906 - 8898), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10001 + 0o40) + '\064' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(830 - 779) + chr(54) + chr(0b101000 + 0o15), 0o10), ehT0Px3KOsy9(chr(48) + chr(8180 - 8069) + '\x32' + chr(427 - 374) + chr(748 - 699), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b1010 + 0o53) + chr(2247 - 2199), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3'), chr(7082 - 6982) + '\145' + '\143' + '\157' + chr(5352 - 5252) + chr(101))('\165' + chr(116) + chr(0b1100110) + chr(0b1111 + 0o36) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RfF9961p3INo(vGrByMSYMp9h, EjgP3Uo4AYh3):
if not PlSM16l2KDPD(vGrByMSYMp9h, QOfmzcVJsrp8):
raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd%\xd5\xba\x12\x91_\xff\xeb\x9cW\xb8\x10#\x15d\x05\xc6v\x12\x0f\x0e\xdd\x1c\x18\xc6\xd2\xbc,K\xa6\xba\xd5\x0c\t\xb6\xfd\x11\x90\x93\xcd?\xda'), '\x64' + chr(5541 - 5440) + '\x63' + '\x6f' + chr(0b1010 + 0o132) + chr(101))('\x75' + '\x74' + '\146' + '\x2d' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbbp\xd5\xb47\x95x\xa9\xc9\xccA\xf2'), chr(100) + chr(101) + '\x63' + '\x6f' + chr(0b1100100) + chr(0b101 + 0o140))('\x75' + chr(0b1001010 + 0o52) + '\146' + chr(0b10101 + 0o30) + '\x38'))(wmQmyeWBmUpv(vGrByMSYMp9h)))
if not (lot1PSoAwYhj(EjgP3Uo4AYh3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd%\xd5\xa8\x1a\xb2Y\xf5\xf4\xefP\xea\x148\x01'), chr(0b111 + 0o135) + chr(4164 - 4063) + chr(0b1100001 + 0o2) + '\157' + '\144' + '\145')(chr(5355 - 5238) + '\164' + '\146' + chr(0b101001 + 0o4) + '\070')) and tzcpInYwBvYW(xafqLlk3kkUe(EjgP3Uo4AYh3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd%\xd5\xa8\x1a\xb2Y\xf5\xf4\xefP\xea\x148\x01'), chr(0b100101 + 0o77) + chr(0b1100101) + chr(99) + chr(7096 - 6985) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(9830 - 9714) + chr(0b1100110) + chr(45) + chr(911 - 855))))):
raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3+\x87\x8b\x1e\x86X\xff\xdf\xceK\xf5."\x14yK\xc33_\x08\x03\xc1\x16\x0f\xca\x9b\xady[\xe3\xa9\xdf\x1b]\xa7\xe0O\xd5\xa3\x99=\xd7\xbe_\x9dX\xba\xe2\xc1'), chr(0b1100100) + chr(4089 - 3988) + chr(0b1100011) + chr(0b1010000 + 0o37) + chr(0b1100100) + chr(101))(chr(0b10001 + 0o144) + chr(116) + '\x66' + '\055' + chr(0b11010 + 0o36)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbbp\xd5\xb47\x95x\xa9\xc9\xccA\xf2'), '\144' + '\145' + chr(99) + '\x6f' + '\x64' + chr(101))('\x75' + '\x74' + chr(0b1100000 + 0o6) + chr(0b100111 + 0o6) + chr(0b111000)))(wmQmyeWBmUpv(EjgP3Uo4AYh3)))
xv8V2FHKfu8K = iMeWigHN5SYe(vi1g1wPnZvlE[ehT0Px3KOsy9], EjgP3Uo4AYh3.ParseFromString(vGrByMSYMp9h))
if xv8V2FHKfu8K is not None and xv8V2FHKfu8K != c2A0yzQpDQB3(vGrByMSYMp9h):
raise xafqLlk3kkUe(c_77XUPV_xy5.protobuf.message, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9!\xc4\xb4\x1b\x91n\xe8\xeb\xd3V'), chr(284 - 184) + chr(101) + chr(2009 - 1910) + chr(0b1101111) + '\144' + '\145')('\x75' + '\164' + chr(10339 - 10237) + '\x2d' + '\070'))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd6\xc8\xaf\x10\x96^\xfc\xb9\xd8A\xfb\x122\x0f~B\x84p]\x03\x04\xdc\x14\x0e\x8e\xd2\xaa6P\xa6\xbb\xdf\x0f\t\xa0\xfd\x15\x90\xda\xd7d\xdc\xa6_\x9b^\xee\xb9\xd3B\xb8\x06+'), chr(0b1100100) + chr(101) + '\x63' + chr(4690 - 4579) + chr(887 - 787) + chr(0b1100101))('\x75' + '\x74' + chr(0b1100110) + '\055' + chr(0b10101 + 0o43)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbbp\xd5\xb47\x95x\xa9\xc9\xccA\xf2'), '\x64' + chr(0b110010 + 0o63) + chr(0b1000000 + 0o43) + '\x6f' + '\x64' + chr(0b10010 + 0o123))(chr(0b1110101) + '\x74' + chr(0b11111 + 0o107) + chr(0b101101) + chr(918 - 862)))(xv8V2FHKfu8K, c2A0yzQpDQB3(vGrByMSYMp9h)))
return EjgP3Uo4AYh3
|
onnx/onnx
|
onnx/__init__.py
|
load_model
|
def load_model(f, format=None, load_external_data=True): # type: (Union[IO[bytes], Text], Optional[Any], bool) -> ModelProto
'''
Loads a serialized ModelProto into memory
@params
f can be a file-like object (has "read" function) or a string containing a file name
format is for future use
@return
Loaded in-memory ModelProto
'''
s = _load_bytes(f)
model = load_model_from_string(s, format=format)
if load_external_data:
model_filepath = _get_file_path(f)
if model_filepath:
base_dir = os.path.dirname(model_filepath)
load_external_data_for_model(model, base_dir)
return model
|
python
|
def load_model(f, format=None, load_external_data=True): # type: (Union[IO[bytes], Text], Optional[Any], bool) -> ModelProto
'''
Loads a serialized ModelProto into memory
@params
f can be a file-like object (has "read" function) or a string containing a file name
format is for future use
@return
Loaded in-memory ModelProto
'''
s = _load_bytes(f)
model = load_model_from_string(s, format=format)
if load_external_data:
model_filepath = _get_file_path(f)
if model_filepath:
base_dir = os.path.dirname(model_filepath)
load_external_data_for_model(model, base_dir)
return model
|
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Loads a serialized ModelProto into memory
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f can be a file-like object (has "read" function) or a string containing a file name
format is for future use
@return
Loaded in-memory ModelProto
|
[
"Loads",
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"ModelProto",
"into",
"memory"
] |
2f7dc10f03a072526d94b6820cedbf2a1ec5a2c4
|
https://github.com/onnx/onnx/blob/2f7dc10f03a072526d94b6820cedbf2a1ec5a2c4/onnx/__init__.py#L102-L122
|
train
|
Loads a serialized ModelProto into memory
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(801 - 753) + chr(111) + chr(0b110 + 0o53) + chr(2348 - 2298) + '\061', 57406 - 57398), ehT0Px3KOsy9(chr(0b110000) + chr(4991 - 4880) + chr(0b10 + 0o61) + chr(166 - 117) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1143 - 1095) + chr(0b1001111 + 0o40) + chr(49) + '\061' + chr(0b1000 + 0o54), 0o10), ehT0Px3KOsy9('\060' + chr(6850 - 6739) + '\x33' + chr(0b1111 + 0o43) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000 + 0o2) + '\065' + chr(48), 24115 - 24107), ehT0Px3KOsy9(chr(0b110000) + chr(4282 - 4171) + chr(1341 - 1291) + chr(0b10000 + 0o46) + chr(1409 - 1354), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9368 - 9257) + '\062' + '\065' + chr(48), 8), ehT0Px3KOsy9(chr(1002 - 954) + chr(0b1101111) + '\062' + chr(0b100101 + 0o16) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(0b110100) + '\x33', 54991 - 54983), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(0b110001) + '\x32' + chr(48), 0b1000), ehT0Px3KOsy9(chr(2279 - 2231) + '\157' + chr(51) + chr(50) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1556 - 1506) + chr(1435 - 1387), 0b1000), ehT0Px3KOsy9(chr(1773 - 1725) + chr(0b1101111) + chr(0b10011 + 0o37) + chr(264 - 213) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(51) + chr(1036 - 981) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100100 + 0o13) + '\063' + chr(781 - 732) + chr(0b110000), 29276 - 29268), ehT0Px3KOsy9(chr(0b110000) + chr(0b101100 + 0o103) + chr(0b0 + 0o63) + chr(0b1001 + 0o53) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(50) + chr(50) + chr(104 - 51), 0b1000), ehT0Px3KOsy9('\060' + chr(8152 - 8041) + chr(1591 - 1540) + chr(50) + chr(0b101011 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7086 - 6975) + '\063' + chr(0b10100 + 0o35) + '\x31', 8), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\061' + '\x30' + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x36' + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b1000 + 0o52) + '\x30' + chr(719 - 666), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + chr(0b110010) + chr(0b110110) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x35' + chr(1098 - 1047), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x36' + chr(1963 - 1911), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010011 + 0o34) + chr(0b110100) + chr(0b10010 + 0o41), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\x35' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + '\062' + chr(53) + chr(53), 8), ehT0Px3KOsy9('\060' + chr(787 - 676) + chr(1418 - 1367) + chr(289 - 236) + '\062', 33745 - 33737), ehT0Px3KOsy9(chr(922 - 874) + '\157' + '\062' + chr(0b1001 + 0o55) + '\063', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\x36' + chr(0b100001 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(2237 - 2189) + chr(4969 - 4858) + '\065' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + '\061' + '\067' + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(85 - 35) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(1393 - 1344) + '\x31', 56761 - 56753), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b110100) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b101010 + 0o105) + '\061' + '\066' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1940 - 1892) + chr(111) + chr(0b110010) + '\x36' + '\066', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + chr(0b10010 + 0o43) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(100) + chr(6883 - 6782))('\165' + chr(0b1110100) + '\146' + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def cW8tcIfLyaAl(EGyt1xfPT1P6, V4roHaS3Ppej=None, jOVLnCYkpDIZ=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10 + 0o57), 0o10)):
vGrByMSYMp9h = qcniFcaOj2v0(EGyt1xfPT1P6)
FK0vqzZ5gPN6 = GxinNkgsPrIi(vGrByMSYMp9h, format=V4roHaS3Ppej)
if jOVLnCYkpDIZ:
rH3xQcV_3ide = NvNVpYdSYQd0(EGyt1xfPT1P6)
if rH3xQcV_3ide:
tEZltfn1uUbu = oqhJDdMJfuwx.path.dirname(rH3xQcV_3ide)
LiFRxdp7TH5Y(FK0vqzZ5gPN6, tEZltfn1uUbu)
return FK0vqzZ5gPN6
|
onnx/onnx
|
onnx/__init__.py
|
load_tensor
|
def load_tensor(f, format=None): # type: (Union[IO[bytes], Text], Optional[Any]) -> TensorProto
'''
Loads a serialized TensorProto into memory
@params
f can be a file-like object (has "read" function) or a string containing a file name
format is for future use
@return
Loaded in-memory TensorProto
'''
s = _load_bytes(f)
return load_tensor_from_string(s, format=format)
|
python
|
def load_tensor(f, format=None): # type: (Union[IO[bytes], Text], Optional[Any]) -> TensorProto
'''
Loads a serialized TensorProto into memory
@params
f can be a file-like object (has "read" function) or a string containing a file name
format is for future use
@return
Loaded in-memory TensorProto
'''
s = _load_bytes(f)
return load_tensor_from_string(s, format=format)
|
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"(",
"f",
")",
"return",
"load_tensor_from_string",
"(",
"s",
",",
"format",
"=",
"format",
")"
] |
Loads a serialized TensorProto into memory
@params
f can be a file-like object (has "read" function) or a string containing a file name
format is for future use
@return
Loaded in-memory TensorProto
|
[
"Loads",
"a",
"serialized",
"TensorProto",
"into",
"memory"
] |
2f7dc10f03a072526d94b6820cedbf2a1ec5a2c4
|
https://github.com/onnx/onnx/blob/2f7dc10f03a072526d94b6820cedbf2a1ec5a2c4/onnx/__init__.py#L125-L137
|
train
|
Loads a serialized TensorProto into memory
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(524 - 473) + chr(51), 47083 - 47075), ehT0Px3KOsy9(chr(1813 - 1765) + chr(0b1101111) + chr(2321 - 2271) + chr(53) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(1306 - 1257) + '\060' + chr(0b1101 + 0o45), 35670 - 35662), ehT0Px3KOsy9(chr(2184 - 2136) + chr(9948 - 9837) + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(598 - 543) + chr(572 - 518), 53895 - 53887), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(211 - 162) + chr(0b110000) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b101101 + 0o6) + chr(48), 36438 - 36430), ehT0Px3KOsy9(chr(1251 - 1203) + chr(447 - 336) + '\063' + chr(48) + chr(0b101101 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101111 + 0o100) + '\066' + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + '\063' + chr(0b110010) + chr(1656 - 1606), 39215 - 39207), ehT0Px3KOsy9(chr(380 - 332) + chr(0b111010 + 0o65) + '\063' + chr(53) + chr(773 - 720), 0o10), ehT0Px3KOsy9('\x30' + chr(8301 - 8190) + chr(50) + chr(0b101101 + 0o3) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2089 - 2038) + chr(50) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(2262 - 2151) + chr(50) + chr(0b10000 + 0o40) + chr(0b1000 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(420 - 372) + '\x6f' + chr(806 - 753) + chr(0b110101), 36493 - 36485), ehT0Px3KOsy9('\060' + chr(7523 - 7412) + chr(0b110010) + chr(1274 - 1224) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101100 + 0o3) + chr(295 - 245) + chr(0b110100) + chr(0b10010 + 0o41), 27560 - 27552), ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + '\067' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(308 - 197) + chr(0b101000 + 0o11) + '\x34' + '\063', 63087 - 63079), ehT0Px3KOsy9('\060' + chr(9615 - 9504) + '\063' + chr(2638 - 2583) + '\x37', 7753 - 7745), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110100) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + chr(0b110010) + '\x32' + chr(462 - 411), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11010 + 0o125) + chr(2225 - 2176) + chr(55) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(2993 - 2882) + chr(0b100101 + 0o15) + chr(0b110111) + '\x36', 22546 - 22538), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\x30' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + '\062' + chr(54), 49360 - 49352), ehT0Px3KOsy9(chr(764 - 716) + '\x6f' + chr(2622 - 2568) + chr(381 - 331), 26548 - 26540), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(50) + chr(0b11110 + 0o22), 0b1000), ehT0Px3KOsy9(chr(1389 - 1341) + chr(0b1101111) + chr(0b100 + 0o55) + '\065' + chr(1548 - 1497), 0b1000), ehT0Px3KOsy9(chr(2292 - 2244) + chr(0b100100 + 0o113) + chr(50) + chr(49) + '\060', 43246 - 43238), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\067' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b11101 + 0o122) + chr(0b111 + 0o53) + chr(0b101110 + 0o11) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1511 - 1456) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(238 - 188) + chr(0b110100) + chr(0b11000 + 0o34), 0o10), ehT0Px3KOsy9('\x30' + chr(5925 - 5814) + chr(49) + '\062' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + '\x31' + chr(0b100111 + 0o14) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5513 - 5402) + chr(2101 - 2050) + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\064' + chr(0b100101 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(49) + chr(2101 - 2052) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(6662 - 6551) + '\x32' + chr(0b110001) + chr(0b10100 + 0o35), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(100) + chr(7040 - 6939))(chr(0b1110101) + '\164' + chr(3637 - 3535) + '\x2d' + chr(0b101110 + 0o12)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def IM06MtVrEdmg(EGyt1xfPT1P6, V4roHaS3Ppej=None):
vGrByMSYMp9h = qcniFcaOj2v0(EGyt1xfPT1P6)
return X1i1x8AN3vIA(vGrByMSYMp9h, format=V4roHaS3Ppej)
|
onnx/onnx
|
onnx/__init__.py
|
save_model
|
def save_model(proto, f, format=None): # type: (Union[ModelProto, bytes], Union[IO[bytes], Text], Optional[Any]) -> None
'''
Saves the ModelProto to the specified path.
@params
proto should be a in-memory ModelProto
f can be a file-like object (has "write" function) or a string containing a file name
format is for future use
'''
if isinstance(proto, bytes):
proto = _deserialize(proto, ModelProto())
model_filepath = _get_file_path(f)
if model_filepath:
basepath = os.path.dirname(model_filepath)
proto = write_external_data_tensors(proto, basepath)
s = _serialize(proto)
_save_bytes(s, f)
|
python
|
def save_model(proto, f, format=None): # type: (Union[ModelProto, bytes], Union[IO[bytes], Text], Optional[Any]) -> None
'''
Saves the ModelProto to the specified path.
@params
proto should be a in-memory ModelProto
f can be a file-like object (has "write" function) or a string containing a file name
format is for future use
'''
if isinstance(proto, bytes):
proto = _deserialize(proto, ModelProto())
model_filepath = _get_file_path(f)
if model_filepath:
basepath = os.path.dirname(model_filepath)
proto = write_external_data_tensors(proto, basepath)
s = _serialize(proto)
_save_bytes(s, f)
|
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] |
Saves the ModelProto to the specified path.
@params
proto should be a in-memory ModelProto
f can be a file-like object (has "write" function) or a string containing a file name
format is for future use
|
[
"Saves",
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"path",
"."
] |
2f7dc10f03a072526d94b6820cedbf2a1ec5a2c4
|
https://github.com/onnx/onnx/blob/2f7dc10f03a072526d94b6820cedbf2a1ec5a2c4/onnx/__init__.py#L168-L186
|
train
|
Save the given ModelProto to the specified file - like object f.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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' + '\x37' + chr(0b100110 + 0o16), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\x32' + '\x37', 0o10), ehT0Px3KOsy9(chr(1063 - 1015) + chr(111) + '\x35' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + '\x32' + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\064' + '\063', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11111 + 0o23) + chr(0b11001 + 0o27) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(54) + chr(2214 - 2161), 0b1000), ehT0Px3KOsy9(chr(2273 - 2225) + chr(0b1101110 + 0o1) + chr(50) + '\x33' + '\x30', 42300 - 42292), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\x31' + '\x30', 1247 - 1239), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10100 + 0o41) + chr(1642 - 1594), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100011 + 0o16) + chr(1891 - 1839) + chr(53), 4212 - 4204), ehT0Px3KOsy9(chr(2066 - 2018) + chr(111) + '\x32' + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\067' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1978 - 1928) + chr(0b101101 + 0o4) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + chr(0b110010) + '\060' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2231 - 2181) + '\x31' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(2265 - 2217) + chr(111) + '\x35' + chr(0b110001 + 0o4), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001110 + 0o41) + '\x33' + chr(1407 - 1358) + chr(53), 0b1000), ehT0Px3KOsy9(chr(1984 - 1936) + chr(0b1011011 + 0o24) + chr(2153 - 2103) + chr(0b1000 + 0o54) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(11170 - 11059) + chr(49) + chr(2035 - 1983) + chr(53), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\x37' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011 + 0o144) + chr(54) + chr(1281 - 1232), 45390 - 45382), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110011) + chr(0b10110 + 0o40), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b100011 + 0o114) + '\063' + chr(0b101001 + 0o7) + chr(1983 - 1929), 40243 - 40235), ehT0Px3KOsy9(chr(1788 - 1740) + chr(0b111000 + 0o67) + chr(51) + chr(0b110101) + chr(0b110010 + 0o0), 28142 - 28134), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110010) + chr(0b1100 + 0o47), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1584 - 1533) + chr(0b110011) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(49) + chr(0b1101 + 0o43) + chr(0b11100 + 0o32), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11110 + 0o121) + chr(0b1110 + 0o45) + chr(0b1111 + 0o46) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + chr(0b110011) + chr(0b101111 + 0o6) + chr(1766 - 1715), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\x35' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(0b110011) + chr(49) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(348 - 237) + '\061' + chr(0b110011) + chr(0b110000), 42927 - 42919), ehT0Px3KOsy9(chr(0b110000) + chr(1706 - 1595) + chr(2508 - 2455) + chr(2431 - 2380), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b10001 + 0o136) + chr(0b1111 + 0o43) + chr(0b0 + 0o62) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + chr(48), 8050 - 8042), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b11100 + 0o27) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b101101 + 0o5) + chr(0b0 + 0o67), 8), ehT0Px3KOsy9(chr(499 - 451) + chr(0b111 + 0o150) + chr(0b110011) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1561 - 1513) + chr(111) + chr(0b110011) + chr(0b110101) + chr(1396 - 1346), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + chr(884 - 836), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x12'), chr(100) + '\145' + chr(0b1100011) + '\157' + '\x64' + chr(101))(chr(117) + '\164' + chr(0b1100110) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MHNXKGAiqSnr(EjgP3Uo4AYh3, EGyt1xfPT1P6, V4roHaS3Ppej=None):
if PlSM16l2KDPD(EjgP3Uo4AYh3, QOfmzcVJsrp8):
EjgP3Uo4AYh3 = RfF9961p3INo(EjgP3Uo4AYh3, K7NpJitT9ase())
rH3xQcV_3ide = NvNVpYdSYQd0(EGyt1xfPT1P6)
if rH3xQcV_3ide:
xFNWxZXg4qkQ = oqhJDdMJfuwx.path.dirname(rH3xQcV_3ide)
EjgP3Uo4AYh3 = Sy1z19CnsoeF(EjgP3Uo4AYh3, xFNWxZXg4qkQ)
vGrByMSYMp9h = FafGPp2Dvnci(EjgP3Uo4AYh3)
IkzltH8G2cKe(vGrByMSYMp9h, EGyt1xfPT1P6)
|
onnx/onnx
|
onnx/utils.py
|
polish_model
|
def polish_model(model): # type: (ModelProto) -> ModelProto
'''
This function combines several useful utility functions together.
'''
onnx.checker.check_model(model)
onnx.helper.strip_doc_string(model)
model = onnx.shape_inference.infer_shapes(model)
model = onnx.optimizer.optimize(model)
onnx.checker.check_model(model)
return model
|
python
|
def polish_model(model): # type: (ModelProto) -> ModelProto
'''
This function combines several useful utility functions together.
'''
onnx.checker.check_model(model)
onnx.helper.strip_doc_string(model)
model = onnx.shape_inference.infer_shapes(model)
model = onnx.optimizer.optimize(model)
onnx.checker.check_model(model)
return model
|
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This function combines several useful utility functions together.
|
[
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] |
2f7dc10f03a072526d94b6820cedbf2a1ec5a2c4
|
https://github.com/onnx/onnx/blob/2f7dc10f03a072526d94b6820cedbf2a1ec5a2c4/onnx/utils.py#L14-L23
|
train
|
This function combines several useful utility functions together.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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) + '\x33' + chr(0b110011) + chr(149 - 94), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10001 + 0o42) + chr(0b100100 + 0o21) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(0b1010 + 0o145) + chr(0b110001) + chr(0b110100) + chr(0b110000), 3114 - 3106), ehT0Px3KOsy9('\060' + '\157' + chr(0b11100 + 0o27) + chr(0b110110 + 0o0) + '\x30', 34667 - 34659), ehT0Px3KOsy9(chr(311 - 263) + chr(0b1100010 + 0o15) + '\063' + chr(1357 - 1304) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2282 - 2233) + '\063' + '\x30', 5969 - 5961), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + chr(0b110010) + '\x32' + '\064', 54644 - 54636), ehT0Px3KOsy9(chr(48) + chr(5372 - 5261) + chr(0b110001), 56939 - 56931), ehT0Px3KOsy9(chr(0b110000) + chr(6717 - 6606) + chr(50) + chr(1114 - 1059) + chr(0b1101 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(0b110010) + chr(0b110000) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2084 - 2035) + '\x33' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4963 - 4852) + chr(0b110010) + chr(0b11111 + 0o27) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\x32' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(54) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\065' + chr(526 - 478), 0b1000), ehT0Px3KOsy9('\060' + chr(10316 - 10205) + chr(51) + '\066' + chr(2666 - 2614), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(0b110011) + '\x34' + chr(0b110111), 16291 - 16283), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(1352 - 1304) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + chr(0b101011 + 0o6) + '\x36' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\062' + '\x35' + chr(2263 - 2215), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(0b10011 + 0o40) + chr(0b11 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(1411 - 1363) + chr(8292 - 8181) + chr(223 - 169) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1106 - 1058) + chr(0b1101111) + chr(51) + chr(1740 - 1689) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11000 + 0o31) + chr(0b110111) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(5682 - 5571) + chr(664 - 614) + chr(2248 - 2198) + chr(1335 - 1281), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101110 + 0o5) + chr(0b110001) + chr(518 - 463), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b110001) + chr(0b11 + 0o57) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1460 - 1412) + chr(111) + chr(0b0 + 0o63) + '\060' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(5242 - 5131) + '\061' + '\064' + chr(81 - 30), 42704 - 42696), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x32' + chr(52), 8), ehT0Px3KOsy9(chr(1773 - 1725) + chr(111) + chr(50) + chr(53) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100001 + 0o22) + '\x33', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110101) + '\x35', 24110 - 24102), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110110) + '\067', 50090 - 50082), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b110000) + chr(0b10101 + 0o40), 0o10), ehT0Px3KOsy9(chr(48) + chr(1877 - 1766) + chr(0b110010) + chr(50) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(644 - 596) + chr(0b1101111) + '\x33' + chr(0b11101 + 0o24) + '\x33', 10304 - 10296), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(376 - 325) + chr(0b1100 + 0o51) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(2189 - 2141) + chr(0b100001 + 0o21), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(0b10011 + 0o42) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1'), '\x64' + chr(101) + chr(0b11010 + 0o111) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(1752 - 1635) + '\164' + chr(9545 - 9443) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nEzRKInG5xmr(FK0vqzZ5gPN6):
xafqLlk3kkUe(xUo9n6RYoMyH.checker, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x86\x05\x93\x82\x07\xf9n\xda\xe77'), '\x64' + '\x65' + chr(0b100 + 0o137) + chr(111) + chr(1385 - 1285) + chr(0b101111 + 0o66))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b101101) + '\x38'))(FK0vqzZ5gPN6)
xafqLlk3kkUe(xUo9n6RYoMyH.helper, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\x9a\x12\x99\x99\x07\xf0n\xdd\xdd(\xc1\xa1_F\x93'), chr(0b111001 + 0o53) + chr(0b11111 + 0o106) + chr(8550 - 8451) + chr(0b1100100 + 0o13) + '\144' + chr(0b1100101))(chr(11963 - 11846) + chr(0b1110100) + '\x66' + '\055' + '\x38'))(FK0vqzZ5gPN6)
FK0vqzZ5gPN6 = xUo9n6RYoMyH.shape_inference.infer_shapes(FK0vqzZ5gPN6)
FK0vqzZ5gPN6 = xUo9n6RYoMyH.optimizer.optimize(FK0vqzZ5gPN6)
xafqLlk3kkUe(xUo9n6RYoMyH.checker, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x86\x05\x93\x82\x07\xf9n\xda\xe77'), chr(0b1000011 + 0o41) + chr(1984 - 1883) + chr(3381 - 3282) + '\157' + '\x64' + chr(0b11101 + 0o110))(chr(0b101000 + 0o115) + '\x74' + chr(2046 - 1944) + chr(1396 - 1351) + chr(0b11110 + 0o32)))(FK0vqzZ5gPN6)
return FK0vqzZ5gPN6
|
apache/incubator-mxnet
|
python/mxnet/gluon/contrib/rnn/rnn_cell.py
|
dynamic_unroll
|
def dynamic_unroll(cell, inputs, begin_state, drop_inputs=0, drop_outputs=0,
layout='TNC', valid_length=None):
"""Unrolls an RNN cell across time steps.
Currently, 'TNC' is a preferred layout. unroll on the input of this layout
runs much faster.
Parameters
----------
cell : an object whose base class is RNNCell.
The RNN cell to run on the input sequence.
inputs : Symbol
It should have shape (batch_size, length, ...) if `layout` is 'NTC',
or (length, batch_size, ...) if `layout` is 'TNC'.
begin_state : nested list of Symbol
The initial states of the RNN sequence.
drop_inputs : float, default 0.
The dropout rate for inputs. Won't apply dropout if it equals 0.
drop_outputs : float, default 0.
The dropout rate for outputs. Won't apply dropout if it equals 0.
layout : str, optional
`layout` of input symbol. Only used if inputs
is a single Symbol.
valid_length : Symbol, NDArray or None
`valid_length` specifies the length of the sequences in the batch without padding.
This option is especially useful for building sequence-to-sequence models where
the input and output sequences would potentially be padded.
If `valid_length` is None, all sequences are assumed to have the same length.
If `valid_length` is a Symbol or NDArray, it should have shape (batch_size,).
The ith element will be the length of the ith sequence in the batch.
The last valid state will be return and the padded outputs will be masked with 0.
Note that `valid_length` must be smaller or equal to `length`.
Returns
-------
outputs : Symbol
the output of the RNN from this unrolling.
states : list of Symbol
The new state of this RNN after this unrolling.
The type of this symbol is same as the output of `begin_state`.
Examples
--------
>>> seq_len = 3
>>> batch_size = 2
>>> input_size = 5
>>> cell = mx.gluon.rnn.LSTMCell(input_size, prefix='rnn_')
>>> cell.initialize(ctx=mx.cpu())
>>> rnn_data = mx.nd.normal(loc=0, scale=1, shape=(seq_len, batch_size, input_size))
>>> state_shape = (batch_size, input_size)
>>> states = [mx.nd.normal(loc=0, scale=1, shape=state_shape) for i in range(2)]
>>> valid_length = mx.nd.array([2, 3])
>>> output, states = mx.gluon.contrib.rnn.rnn_cell.dynamic_unroll(cell, rnn_data, states,
valid_length=valid_length,
layout='TNC')
>>> print(output)
[[[ 0.00767238 0.00023103 0.03973929 -0.00925503 -0.05660512]
[ 0.00881535 0.05428379 -0.02493718 -0.01834097 0.02189514]]
[[-0.00676967 0.01447039 0.01287002 -0.00574152 -0.05734247]
[ 0.01568508 0.02650866 -0.04270559 -0.04328435 0.00904011]]
[[ 0. 0. 0. 0. 0. ]
[ 0.01055336 0.02734251 -0.03153727 -0.03742751 -0.01378113]]]
<NDArray 3x2x5 @cpu(0)>
"""
# Merge is always True, so we don't need length.
inputs, axis, F, _ = _format_sequence(0, inputs, layout, True)
if axis != 0:
axes = list(range(len(layout)))
tmp = axes[0]
axes[0] = axes[axis]
axes[axis] = tmp
inputs = F.transpose(inputs, axes=axes)
states = begin_state
if drop_inputs:
inputs = F.Dropout(inputs, p=drop_inputs, axes=(axis,))
if valid_length is None:
def loop_body(inputs, states):
return cell(inputs, states)
else:
zeros = []
for s in states:
zeros.append(F.zeros_like(s))
states = list(_as_list(states))
states.append(F.zeros((1)))
def loop_body(inputs, states):
cell_states = states[:-1]
iter_no = states[-1]
out, new_states = cell(inputs, cell_states)
for i, state in enumerate(cell_states):
new_states[i] = F.where(F.broadcast_greater(valid_length, iter_no),
new_states[i], state)
new_states.append(iter_no + 1)
return out, new_states
outputs, states = F.contrib.foreach(loop_body, inputs, states)
if drop_outputs:
outputs = F.Dropout(outputs, p=drop_outputs, axes=(axis,))
if valid_length is not None:
if axis != 0:
outputs = F.transpose(outputs, axes)
outputs = F.SequenceMask(outputs, sequence_length=valid_length,
use_sequence_length=True, axis=axis)
# the last state is the iteration number. We don't need it.
return outputs, states[:-1]
else:
if axis != 0:
outputs = F.transpose(outputs, axes)
return outputs, states
|
python
|
def dynamic_unroll(cell, inputs, begin_state, drop_inputs=0, drop_outputs=0,
layout='TNC', valid_length=None):
"""Unrolls an RNN cell across time steps.
Currently, 'TNC' is a preferred layout. unroll on the input of this layout
runs much faster.
Parameters
----------
cell : an object whose base class is RNNCell.
The RNN cell to run on the input sequence.
inputs : Symbol
It should have shape (batch_size, length, ...) if `layout` is 'NTC',
or (length, batch_size, ...) if `layout` is 'TNC'.
begin_state : nested list of Symbol
The initial states of the RNN sequence.
drop_inputs : float, default 0.
The dropout rate for inputs. Won't apply dropout if it equals 0.
drop_outputs : float, default 0.
The dropout rate for outputs. Won't apply dropout if it equals 0.
layout : str, optional
`layout` of input symbol. Only used if inputs
is a single Symbol.
valid_length : Symbol, NDArray or None
`valid_length` specifies the length of the sequences in the batch without padding.
This option is especially useful for building sequence-to-sequence models where
the input and output sequences would potentially be padded.
If `valid_length` is None, all sequences are assumed to have the same length.
If `valid_length` is a Symbol or NDArray, it should have shape (batch_size,).
The ith element will be the length of the ith sequence in the batch.
The last valid state will be return and the padded outputs will be masked with 0.
Note that `valid_length` must be smaller or equal to `length`.
Returns
-------
outputs : Symbol
the output of the RNN from this unrolling.
states : list of Symbol
The new state of this RNN after this unrolling.
The type of this symbol is same as the output of `begin_state`.
Examples
--------
>>> seq_len = 3
>>> batch_size = 2
>>> input_size = 5
>>> cell = mx.gluon.rnn.LSTMCell(input_size, prefix='rnn_')
>>> cell.initialize(ctx=mx.cpu())
>>> rnn_data = mx.nd.normal(loc=0, scale=1, shape=(seq_len, batch_size, input_size))
>>> state_shape = (batch_size, input_size)
>>> states = [mx.nd.normal(loc=0, scale=1, shape=state_shape) for i in range(2)]
>>> valid_length = mx.nd.array([2, 3])
>>> output, states = mx.gluon.contrib.rnn.rnn_cell.dynamic_unroll(cell, rnn_data, states,
valid_length=valid_length,
layout='TNC')
>>> print(output)
[[[ 0.00767238 0.00023103 0.03973929 -0.00925503 -0.05660512]
[ 0.00881535 0.05428379 -0.02493718 -0.01834097 0.02189514]]
[[-0.00676967 0.01447039 0.01287002 -0.00574152 -0.05734247]
[ 0.01568508 0.02650866 -0.04270559 -0.04328435 0.00904011]]
[[ 0. 0. 0. 0. 0. ]
[ 0.01055336 0.02734251 -0.03153727 -0.03742751 -0.01378113]]]
<NDArray 3x2x5 @cpu(0)>
"""
# Merge is always True, so we don't need length.
inputs, axis, F, _ = _format_sequence(0, inputs, layout, True)
if axis != 0:
axes = list(range(len(layout)))
tmp = axes[0]
axes[0] = axes[axis]
axes[axis] = tmp
inputs = F.transpose(inputs, axes=axes)
states = begin_state
if drop_inputs:
inputs = F.Dropout(inputs, p=drop_inputs, axes=(axis,))
if valid_length is None:
def loop_body(inputs, states):
return cell(inputs, states)
else:
zeros = []
for s in states:
zeros.append(F.zeros_like(s))
states = list(_as_list(states))
states.append(F.zeros((1)))
def loop_body(inputs, states):
cell_states = states[:-1]
iter_no = states[-1]
out, new_states = cell(inputs, cell_states)
for i, state in enumerate(cell_states):
new_states[i] = F.where(F.broadcast_greater(valid_length, iter_no),
new_states[i], state)
new_states.append(iter_no + 1)
return out, new_states
outputs, states = F.contrib.foreach(loop_body, inputs, states)
if drop_outputs:
outputs = F.Dropout(outputs, p=drop_outputs, axes=(axis,))
if valid_length is not None:
if axis != 0:
outputs = F.transpose(outputs, axes)
outputs = F.SequenceMask(outputs, sequence_length=valid_length,
use_sequence_length=True, axis=axis)
# the last state is the iteration number. We don't need it.
return outputs, states[:-1]
else:
if axis != 0:
outputs = F.transpose(outputs, axes)
return outputs, states
|
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] |
Unrolls an RNN cell across time steps.
Currently, 'TNC' is a preferred layout. unroll on the input of this layout
runs much faster.
Parameters
----------
cell : an object whose base class is RNNCell.
The RNN cell to run on the input sequence.
inputs : Symbol
It should have shape (batch_size, length, ...) if `layout` is 'NTC',
or (length, batch_size, ...) if `layout` is 'TNC'.
begin_state : nested list of Symbol
The initial states of the RNN sequence.
drop_inputs : float, default 0.
The dropout rate for inputs. Won't apply dropout if it equals 0.
drop_outputs : float, default 0.
The dropout rate for outputs. Won't apply dropout if it equals 0.
layout : str, optional
`layout` of input symbol. Only used if inputs
is a single Symbol.
valid_length : Symbol, NDArray or None
`valid_length` specifies the length of the sequences in the batch without padding.
This option is especially useful for building sequence-to-sequence models where
the input and output sequences would potentially be padded.
If `valid_length` is None, all sequences are assumed to have the same length.
If `valid_length` is a Symbol or NDArray, it should have shape (batch_size,).
The ith element will be the length of the ith sequence in the batch.
The last valid state will be return and the padded outputs will be masked with 0.
Note that `valid_length` must be smaller or equal to `length`.
Returns
-------
outputs : Symbol
the output of the RNN from this unrolling.
states : list of Symbol
The new state of this RNN after this unrolling.
The type of this symbol is same as the output of `begin_state`.
Examples
--------
>>> seq_len = 3
>>> batch_size = 2
>>> input_size = 5
>>> cell = mx.gluon.rnn.LSTMCell(input_size, prefix='rnn_')
>>> cell.initialize(ctx=mx.cpu())
>>> rnn_data = mx.nd.normal(loc=0, scale=1, shape=(seq_len, batch_size, input_size))
>>> state_shape = (batch_size, input_size)
>>> states = [mx.nd.normal(loc=0, scale=1, shape=state_shape) for i in range(2)]
>>> valid_length = mx.nd.array([2, 3])
>>> output, states = mx.gluon.contrib.rnn.rnn_cell.dynamic_unroll(cell, rnn_data, states,
valid_length=valid_length,
layout='TNC')
>>> print(output)
[[[ 0.00767238 0.00023103 0.03973929 -0.00925503 -0.05660512]
[ 0.00881535 0.05428379 -0.02493718 -0.01834097 0.02189514]]
[[-0.00676967 0.01447039 0.01287002 -0.00574152 -0.05734247]
[ 0.01568508 0.02650866 -0.04270559 -0.04328435 0.00904011]]
[[ 0. 0. 0. 0. 0. ]
[ 0.01055336 0.02734251 -0.03153727 -0.03742751 -0.01378113]]]
<NDArray 3x2x5 @cpu(0)>
|
[
"Unrolls",
"an",
"RNN",
"cell",
"across",
"time",
"steps",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/contrib/rnn/rnn_cell.py#L326-L437
|
train
|
Unrolls an RNN cell across time steps.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(4391 - 4280) + chr(0b110010) + chr(54) + chr(2393 - 2341), 0o10), ehT0Px3KOsy9('\x30' + chr(10158 - 10047) + '\x34' + chr(630 - 580), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b101101 + 0o10) + chr(0b110100), 42815 - 42807), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100010 + 0o15) + chr(253 - 202) + chr(0b11001 + 0o33) + chr(1777 - 1725), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b110000), 37137 - 37129), ehT0Px3KOsy9('\060' + chr(9756 - 9645) + '\x32' + '\063' + '\061', 0o10), ehT0Px3KOsy9(chr(1675 - 1627) + chr(0b1101111) + chr(0b110001) + '\x37' + chr(1142 - 1091), 39740 - 39732), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\063' + '\065', 0o10), ehT0Px3KOsy9(chr(294 - 246) + chr(0b1101111) + '\x37' + '\x37', 58121 - 58113), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + '\063' + chr(0b1100 + 0o44) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1776 - 1723) + chr(0b100 + 0o61), 27103 - 27095), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1100111 + 0o10) + '\x33' + chr(48) + '\x33', 7411 - 7403), ehT0Px3KOsy9(chr(1607 - 1559) + chr(7461 - 7350) + chr(0b110010) + '\063' + chr(1919 - 1871), 0o10), ehT0Px3KOsy9(chr(686 - 638) + chr(2243 - 2132) + chr(1088 - 1037) + chr(0b10010 + 0o43) + chr(74 - 25), 7285 - 7277), ehT0Px3KOsy9(chr(708 - 660) + chr(111) + chr(0b110001) + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(777 - 726) + '\064' + chr(771 - 719), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b111000 + 0o67) + '\x33' + chr(0b101111 + 0o2) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(504 - 456) + '\157' + '\x32' + '\x32' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(0b101101 + 0o5) + '\066' + chr(0b101111 + 0o7), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1754 - 1705) + chr(0b110010) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + '\062' + chr(54) + chr(54), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(2428 - 2378) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(2224 - 2113) + chr(51) + chr(0b110000) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + chr(0b110001) + chr(0b110110) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(10532 - 10421) + chr(0b100001 + 0o21) + chr(55) + '\063', 0o10), ehT0Px3KOsy9(chr(625 - 577) + chr(111) + chr(0b110011) + '\x37' + '\x32', 3361 - 3353), ehT0Px3KOsy9(chr(363 - 315) + '\x6f' + chr(51) + chr(349 - 301) + '\063', 8), ehT0Px3KOsy9(chr(0b110000) + chr(9674 - 9563) + '\063' + chr(0b110011) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(8087 - 7976) + '\x33' + chr(0b100000 + 0o22) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\x34' + chr(0b110010), 5143 - 5135), ehT0Px3KOsy9(chr(48) + chr(159 - 48) + chr(52) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(48) + chr(480 - 426), 13351 - 13343), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\x33' + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101000 + 0o13) + chr(2113 - 2061) + chr(0b11001 + 0o32), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(1321 - 1272) + chr(0b110001 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(2100 - 2051) + '\062', 8), ehT0Px3KOsy9(chr(48) + chr(0b11101 + 0o122) + '\062' + chr(0b110110) + chr(53), 0b1000), ehT0Px3KOsy9(chr(563 - 515) + chr(1130 - 1019) + chr(1757 - 1708) + chr(0b1111 + 0o45) + '\062', 60751 - 60743), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + chr(0b110001) + chr(2160 - 2112) + chr(616 - 563), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(49) + '\x30', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a'), chr(0b1010000 + 0o24) + chr(7118 - 7017) + '\x63' + chr(0b100 + 0o153) + chr(0b1000000 + 0o44) + chr(0b1110 + 0o127))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(1173 - 1128) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def lCy3nVZfNWgp(XQrM8eZytga5, vXoupepMtCXU, Pl7voO4jC20d, G8CwvOlhfSX1=ehT0Px3KOsy9('\x30' + '\157' + chr(1321 - 1273), 37465 - 37457), KbKrUBxx1QDb=ehT0Px3KOsy9(chr(1022 - 974) + '\x6f' + chr(0b0 + 0o60), 8), HDH7OEwZuDah=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0l\xaf'), chr(0b1100100) + chr(101) + '\x63' + chr(9760 - 9649) + chr(0b1110 + 0o126) + '\145')(chr(13346 - 13229) + '\164' + chr(0b1100110) + chr(0b1100 + 0o41) + chr(0b110101 + 0o3)), mhetiAMxYpng=None):
(vXoupepMtCXU, cRTh61qyvi24, TFxWKtvJC3ep, VNGQdHSFPrso) = Zpzywyi92wVA(ehT0Px3KOsy9(chr(1373 - 1325) + chr(0b1101110 + 0o1) + chr(0b110000), 8), vXoupepMtCXU, HDH7OEwZuDah, ehT0Px3KOsy9(chr(48) + chr(0b101111 + 0o100) + '\x31', ord("\x08")))
if cRTh61qyvi24 != ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x30', 8):
gJ3Tbhvvj8Ru = YyaZ4tpXu4lf(vQr8gNKaIaWE(c2A0yzQpDQB3(HDH7OEwZuDah)))
J8N_NsgU9OIv = gJ3Tbhvvj8Ru[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000), 8)]
gJ3Tbhvvj8Ru[ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(0b101101 + 0o3), 8)] = gJ3Tbhvvj8Ru[cRTh61qyvi24]
gJ3Tbhvvj8Ru[cRTh61qyvi24] = J8N_NsgU9OIv
vXoupepMtCXU = TFxWKtvJC3ep.transpose(vXoupepMtCXU, axes=gJ3Tbhvvj8Ru)
jI0E6zso5mLP = Pl7voO4jC20d
if G8CwvOlhfSX1:
vXoupepMtCXU = TFxWKtvJC3ep.Dropout(vXoupepMtCXU, p=G8CwvOlhfSX1, axes=(cRTh61qyvi24,))
if mhetiAMxYpng is None:
def mH765RxkUwam(vXoupepMtCXU, jI0E6zso5mLP):
return XQrM8eZytga5(vXoupepMtCXU, jI0E6zso5mLP)
else:
_rHwoyvtca4E = []
for vGrByMSYMp9h in jI0E6zso5mLP:
xafqLlk3kkUe(_rHwoyvtca4E, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5R\x9c\x81~\xfd'), chr(0b11101 + 0o107) + chr(101) + chr(7611 - 7512) + '\157' + chr(100) + chr(0b1100101))('\165' + '\x74' + chr(0b1100110) + chr(975 - 930) + chr(0b110 + 0o62)))(xafqLlk3kkUe(TFxWKtvJC3ep, xafqLlk3kkUe(SXOLrMavuUCe(b'\xceG\x9e\x8bc\xc6\x17\xf4T\xa2'), '\x64' + '\145' + chr(5929 - 5830) + '\x6f' + chr(2436 - 2336) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(10328 - 10226) + chr(0b101101) + chr(2436 - 2380)))(vGrByMSYMp9h))
jI0E6zso5mLP = YyaZ4tpXu4lf(N_m2iKydurbh(jI0E6zso5mLP))
xafqLlk3kkUe(jI0E6zso5mLP, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5R\x9c\x81~\xfd'), chr(0b1100100) + chr(0b1100101) + '\143' + '\157' + chr(5700 - 5600) + '\145')(chr(117) + chr(5297 - 5181) + chr(102) + '\055' + chr(0b101000 + 0o20)))(xafqLlk3kkUe(TFxWKtvJC3ep, xafqLlk3kkUe(SXOLrMavuUCe(b'\xceG\x9e\x8bc'), chr(2170 - 2070) + chr(0b110101 + 0o60) + '\143' + chr(0b1101111) + chr(2747 - 2647) + chr(1943 - 1842))(chr(0b1110101) + chr(116) + chr(102) + '\x2d' + '\x38'))(ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + '\061', 8)))
def mH765RxkUwam(vXoupepMtCXU, jI0E6zso5mLP):
Jsnq5vWHtJyj = jI0E6zso5mLP[:-ehT0Px3KOsy9('\060' + chr(111) + chr(0b100001 + 0o20), 8)]
ZV3UD0feZaab = jI0E6zso5mLP[-ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(1904 - 1855), 8)]
(UkrMp_I0RDmo, VMSSkcR_XYxL) = XQrM8eZytga5(vXoupepMtCXU, Jsnq5vWHtJyj)
for (WVxHKyX45z_L, KKFQISrGeiAm) in YlkZvXL8qwsX(Jsnq5vWHtJyj):
VMSSkcR_XYxL[WVxHKyX45z_L] = TFxWKtvJC3ep.dRFAC59yQBm_(TFxWKtvJC3ep.broadcast_greater(mhetiAMxYpng, ZV3UD0feZaab), VMSSkcR_XYxL[WVxHKyX45z_L], KKFQISrGeiAm)
xafqLlk3kkUe(VMSSkcR_XYxL, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5R\x9c\x81~\xfd'), '\144' + chr(0b10000 + 0o125) + '\143' + chr(0b1010111 + 0o30) + chr(100) + '\x65')('\x75' + chr(0b1110100) + chr(0b1100110) + chr(144 - 99) + '\070'))(ZV3UD0feZaab + ehT0Px3KOsy9(chr(227 - 179) + chr(111) + '\x31', 8))
return (UkrMp_I0RDmo, VMSSkcR_XYxL)
(Dx_DllZ8uCko, jI0E6zso5mLP) = TFxWKtvJC3ep.contrib.foreach(mH765RxkUwam, vXoupepMtCXU, jI0E6zso5mLP)
if KbKrUBxx1QDb:
Dx_DllZ8uCko = TFxWKtvJC3ep.Dropout(Dx_DllZ8uCko, p=KbKrUBxx1QDb, axes=(cRTh61qyvi24,))
if mhetiAMxYpng is not None:
if cRTh61qyvi24 != ehT0Px3KOsy9('\x30' + '\157' + '\060', 8):
Dx_DllZ8uCko = TFxWKtvJC3ep.transpose(Dx_DllZ8uCko, gJ3Tbhvvj8Ru)
Dx_DllZ8uCko = TFxWKtvJC3ep.SequenceMask(Dx_DllZ8uCko, sequence_length=mhetiAMxYpng, use_sequence_length=ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1110 + 0o43), 8), axis=cRTh61qyvi24)
return (Dx_DllZ8uCko, jI0E6zso5mLP[:-ehT0Px3KOsy9(chr(48) + '\157' + chr(49), 8)])
else:
if cRTh61qyvi24 != ehT0Px3KOsy9(chr(48) + '\157' + '\060', 8):
Dx_DllZ8uCko = TFxWKtvJC3ep.transpose(Dx_DllZ8uCko, gJ3Tbhvvj8Ru)
return (Dx_DllZ8uCko, jI0E6zso5mLP)
|
apache/incubator-mxnet
|
python/mxnet/gluon/contrib/rnn/rnn_cell.py
|
VariationalDropoutCell.unroll
|
def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None,
valid_length=None):
"""Unrolls an RNN cell across time steps.
Parameters
----------
length : int
Number of steps to unroll.
inputs : Symbol, list of Symbol, or None
If `inputs` is a single Symbol (usually the output
of Embedding symbol), it should have shape
(batch_size, length, ...) if `layout` is 'NTC',
or (length, batch_size, ...) if `layout` is 'TNC'.
If `inputs` is a list of symbols (usually output of
previous unroll), they should all have shape
(batch_size, ...).
begin_state : nested list of Symbol, optional
Input states created by `begin_state()`
or output state of another cell.
Created from `begin_state()` if `None`.
layout : str, optional
`layout` of input symbol. Only used if inputs
is a single Symbol.
merge_outputs : bool, optional
If `False`, returns outputs as a list of Symbols.
If `True`, concatenates output across time steps
and returns a single symbol with shape
(batch_size, length, ...) if layout is 'NTC',
or (length, batch_size, ...) if layout is 'TNC'.
If `None`, output whatever is faster.
valid_length : Symbol, NDArray or None
`valid_length` specifies the length of the sequences in the batch without padding.
This option is especially useful for building sequence-to-sequence models where
the input and output sequences would potentially be padded.
If `valid_length` is None, all sequences are assumed to have the same length.
If `valid_length` is a Symbol or NDArray, it should have shape (batch_size,).
The ith element will be the length of the ith sequence in the batch.
The last valid state will be return and the padded outputs will be masked with 0.
Note that `valid_length` must be smaller or equal to `length`.
Returns
-------
outputs : list of Symbol or Symbol
Symbol (if `merge_outputs` is True) or list of Symbols
(if `merge_outputs` is False) corresponding to the output from
the RNN from this unrolling.
states : list of Symbol
The new state of this RNN after this unrolling.
The type of this symbol is same as the output of `begin_state()`.
"""
# Dropout on inputs and outputs can be performed on the whole sequence
# only when state dropout is not present.
if self.drop_states:
return super(VariationalDropoutCell, self).unroll(length, inputs, begin_state,
layout, merge_outputs,
valid_length=valid_length)
self.reset()
inputs, axis, F, batch_size = _format_sequence(length, inputs, layout, True)
states = _get_begin_state(self, F, begin_state, inputs, batch_size)
if self.drop_inputs:
inputs = F.Dropout(inputs, p=self.drop_inputs, axes=(axis,))
outputs, states = self.base_cell.unroll(length, inputs, states, layout, merge_outputs=True,
valid_length=valid_length)
if self.drop_outputs:
outputs = F.Dropout(outputs, p=self.drop_outputs, axes=(axis,))
merge_outputs = isinstance(outputs, tensor_types) if merge_outputs is None else \
merge_outputs
outputs, _, _, _ = _format_sequence(length, outputs, layout, merge_outputs)
if valid_length is not None:
outputs = _mask_sequence_variable_length(F, outputs, length, valid_length, axis,
merge_outputs)
return outputs, states
|
python
|
def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None,
valid_length=None):
"""Unrolls an RNN cell across time steps.
Parameters
----------
length : int
Number of steps to unroll.
inputs : Symbol, list of Symbol, or None
If `inputs` is a single Symbol (usually the output
of Embedding symbol), it should have shape
(batch_size, length, ...) if `layout` is 'NTC',
or (length, batch_size, ...) if `layout` is 'TNC'.
If `inputs` is a list of symbols (usually output of
previous unroll), they should all have shape
(batch_size, ...).
begin_state : nested list of Symbol, optional
Input states created by `begin_state()`
or output state of another cell.
Created from `begin_state()` if `None`.
layout : str, optional
`layout` of input symbol. Only used if inputs
is a single Symbol.
merge_outputs : bool, optional
If `False`, returns outputs as a list of Symbols.
If `True`, concatenates output across time steps
and returns a single symbol with shape
(batch_size, length, ...) if layout is 'NTC',
or (length, batch_size, ...) if layout is 'TNC'.
If `None`, output whatever is faster.
valid_length : Symbol, NDArray or None
`valid_length` specifies the length of the sequences in the batch without padding.
This option is especially useful for building sequence-to-sequence models where
the input and output sequences would potentially be padded.
If `valid_length` is None, all sequences are assumed to have the same length.
If `valid_length` is a Symbol or NDArray, it should have shape (batch_size,).
The ith element will be the length of the ith sequence in the batch.
The last valid state will be return and the padded outputs will be masked with 0.
Note that `valid_length` must be smaller or equal to `length`.
Returns
-------
outputs : list of Symbol or Symbol
Symbol (if `merge_outputs` is True) or list of Symbols
(if `merge_outputs` is False) corresponding to the output from
the RNN from this unrolling.
states : list of Symbol
The new state of this RNN after this unrolling.
The type of this symbol is same as the output of `begin_state()`.
"""
# Dropout on inputs and outputs can be performed on the whole sequence
# only when state dropout is not present.
if self.drop_states:
return super(VariationalDropoutCell, self).unroll(length, inputs, begin_state,
layout, merge_outputs,
valid_length=valid_length)
self.reset()
inputs, axis, F, batch_size = _format_sequence(length, inputs, layout, True)
states = _get_begin_state(self, F, begin_state, inputs, batch_size)
if self.drop_inputs:
inputs = F.Dropout(inputs, p=self.drop_inputs, axes=(axis,))
outputs, states = self.base_cell.unroll(length, inputs, states, layout, merge_outputs=True,
valid_length=valid_length)
if self.drop_outputs:
outputs = F.Dropout(outputs, p=self.drop_outputs, axes=(axis,))
merge_outputs = isinstance(outputs, tensor_types) if merge_outputs is None else \
merge_outputs
outputs, _, _, _ = _format_sequence(length, outputs, layout, merge_outputs)
if valid_length is not None:
outputs = _mask_sequence_variable_length(F, outputs, length, valid_length, axis,
merge_outputs)
return outputs, states
|
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] |
Unrolls an RNN cell across time steps.
Parameters
----------
length : int
Number of steps to unroll.
inputs : Symbol, list of Symbol, or None
If `inputs` is a single Symbol (usually the output
of Embedding symbol), it should have shape
(batch_size, length, ...) if `layout` is 'NTC',
or (length, batch_size, ...) if `layout` is 'TNC'.
If `inputs` is a list of symbols (usually output of
previous unroll), they should all have shape
(batch_size, ...).
begin_state : nested list of Symbol, optional
Input states created by `begin_state()`
or output state of another cell.
Created from `begin_state()` if `None`.
layout : str, optional
`layout` of input symbol. Only used if inputs
is a single Symbol.
merge_outputs : bool, optional
If `False`, returns outputs as a list of Symbols.
If `True`, concatenates output across time steps
and returns a single symbol with shape
(batch_size, length, ...) if layout is 'NTC',
or (length, batch_size, ...) if layout is 'TNC'.
If `None`, output whatever is faster.
valid_length : Symbol, NDArray or None
`valid_length` specifies the length of the sequences in the batch without padding.
This option is especially useful for building sequence-to-sequence models where
the input and output sequences would potentially be padded.
If `valid_length` is None, all sequences are assumed to have the same length.
If `valid_length` is a Symbol or NDArray, it should have shape (batch_size,).
The ith element will be the length of the ith sequence in the batch.
The last valid state will be return and the padded outputs will be masked with 0.
Note that `valid_length` must be smaller or equal to `length`.
Returns
-------
outputs : list of Symbol or Symbol
Symbol (if `merge_outputs` is True) or list of Symbols
(if `merge_outputs` is False) corresponding to the output from
the RNN from this unrolling.
states : list of Symbol
The new state of this RNN after this unrolling.
The type of this symbol is same as the output of `begin_state()`.
|
[
"Unrolls",
"an",
"RNN",
"cell",
"across",
"time",
"steps",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/contrib/rnn/rnn_cell.py#L117-L195
|
train
|
Unrolls an RNN cell across time steps.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101011 + 0o6) + '\062' + '\x37', 54004 - 53996), ehT0Px3KOsy9(chr(894 - 846) + chr(0b11101 + 0o122) + '\066', 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(344 - 233) + chr(592 - 543) + chr(0b110010) + chr(0b11100 + 0o27), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1385 - 1274) + '\x32' + '\060' + chr(1332 - 1281), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b1100 + 0o46) + chr(0b100110 + 0o20), 0o10), ehT0Px3KOsy9(chr(423 - 375) + chr(0b1101110 + 0o1) + chr(0b110010) + '\x34' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001 + 0o1) + '\x35' + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(12260 - 12149) + chr(1690 - 1640) + chr(1006 - 952) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11000 + 0o31) + chr(0b110000) + chr(1272 - 1222), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11011 + 0o26) + chr(0b11 + 0o55) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(462 - 412) + chr(0b101100 + 0o6) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\x37' + chr(0b110101), 16630 - 16622), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x34' + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(6251 - 6140) + '\063' + chr(0b11100 + 0o27) + chr(740 - 692), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(50) + chr(0b101010 + 0o7), 9841 - 9833), ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + chr(0b110011) + chr(1445 - 1395) + chr(219 - 171), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010 + 0o145) + '\x32' + chr(0b110011) + chr(0b1010 + 0o54), 20360 - 20352), ehT0Px3KOsy9(chr(332 - 284) + chr(111) + chr(0b110 + 0o61) + chr(944 - 890), 0o10), ehT0Px3KOsy9(chr(48) + chr(3017 - 2906) + chr(0b110001) + chr(0b11 + 0o64) + chr(49), 23986 - 23978), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(0b110010) + chr(587 - 536) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(1146 - 1098) + chr(6195 - 6084) + chr(0b100100 + 0o17) + '\x34' + chr(0b101101 + 0o7), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110101) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(2530 - 2476) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b110001 + 0o76) + '\063' + '\x33' + chr(0b100110 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(1630 - 1582) + chr(0b100111 + 0o110) + '\061' + chr(0b110001) + chr(51), 7648 - 7640), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(0b100000 + 0o23) + chr(53) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\x37' + chr(53), 32396 - 32388), ehT0Px3KOsy9(chr(48) + chr(9137 - 9026) + chr(0b101111 + 0o2) + chr(0b110111) + chr(185 - 130), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(641 - 591) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(0b110001) + '\x35' + chr(550 - 502), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\063' + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1317 - 1267) + '\x33' + chr(51), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\063' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(303 - 255) + chr(0b1010000 + 0o37) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + '\066' + chr(1723 - 1675), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(117 - 69) + '\157' + '\061' + '\x33' + '\060', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\x34' + chr(0b1001 + 0o51), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'y'), chr(0b1010001 + 0o23) + '\145' + chr(0b1000000 + 0o43) + chr(10694 - 10583) + chr(0b11001 + 0o113) + '\145')(chr(117) + '\164' + '\146' + chr(1624 - 1579) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZNXKSjlprKvQ(oVre8I6UXc3b, CHAOgk5VCHH_, vXoupepMtCXU, Pl7voO4jC20d=None, HDH7OEwZuDah=xafqLlk3kkUe(SXOLrMavuUCe(b'\x19R\x10'), chr(2932 - 2832) + chr(101) + chr(0b1100011) + chr(0b1001111 + 0o40) + chr(0b11100 + 0o110) + '\145')(chr(8635 - 8518) + chr(0b100110 + 0o116) + chr(0b1100110) + chr(45) + chr(0b111000)), cfM7XaQiUYjA=None, mhetiAMxYpng=None):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"3t<\xf3\x89\xd1\xdfj\xc3'0"), chr(6604 - 6504) + chr(0b1100101) + '\143' + '\157' + '\x64' + '\145')('\165' + '\x74' + chr(4239 - 4137) + '\055' + '\x38')):
return xafqLlk3kkUe(KNx0Ujaz9UM0(xDEkKglG3IeR, oVre8I6UXc3b), xafqLlk3kkUe(SXOLrMavuUCe(b'"h!\xec\xba\xce'), chr(0b1100100) + '\x65' + chr(99) + chr(0b101011 + 0o104) + chr(4318 - 4218) + chr(101))(chr(117) + chr(0b1100110 + 0o16) + '\x66' + chr(0b100000 + 0o15) + chr(0b111000)))(CHAOgk5VCHH_, vXoupepMtCXU, Pl7voO4jC20d, HDH7OEwZuDah, cfM7XaQiUYjA, valid_length=mhetiAMxYpng)
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'%c \xe6\xa2'), '\144' + chr(0b100000 + 0o105) + '\x63' + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1110101) + '\x74' + '\146' + '\055' + '\x38'))()
(vXoupepMtCXU, cRTh61qyvi24, TFxWKtvJC3ep, ix9dZyeAmUxY) = Zpzywyi92wVA(CHAOgk5VCHH_, vXoupepMtCXU, HDH7OEwZuDah, ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + '\061', 0o10))
jI0E6zso5mLP = BxMb8sY2QN7Q(oVre8I6UXc3b, TFxWKtvJC3ep, Pl7voO4jC20d, vXoupepMtCXU, ix9dZyeAmUxY)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10>\x10\xf4\xa0\xed\xc7c\xd1\x11\x1b\xa6'), '\144' + chr(101) + chr(99) + chr(0b110001 + 0o76) + '\144' + chr(0b101000 + 0o75))(chr(117) + '\x74' + chr(5680 - 5578) + chr(45) + chr(56))):
vXoupepMtCXU = TFxWKtvJC3ep.Dropout(vXoupepMtCXU, p=oVre8I6UXc3b.G8CwvOlhfSX1, axes=(cRTh61qyvi24,))
(Dx_DllZ8uCko, jI0E6zso5mLP) = oVre8I6UXc3b.base_cell.unroll(CHAOgk5VCHH_, vXoupepMtCXU, jI0E6zso5mLP, HDH7OEwZuDah, merge_outputs=ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31', 8), valid_length=mhetiAMxYpng)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'3t<\xf3\x89\xcd\xde\x7f\xc777\xe4'), chr(0b1100100) + chr(101) + '\143' + chr(0b1001000 + 0o47) + chr(0b1100100) + chr(0b1011001 + 0o14))('\165' + chr(116) + chr(0b1100110) + chr(0b101101) + '\070')):
Dx_DllZ8uCko = TFxWKtvJC3ep.Dropout(Dx_DllZ8uCko, p=oVre8I6UXc3b.drop_outputs, axes=(cRTh61qyvi24,))
cfM7XaQiUYjA = PlSM16l2KDPD(Dx_DllZ8uCko, knQDCFiXTCN1) if cfM7XaQiUYjA is None else cfM7XaQiUYjA
(Dx_DllZ8uCko, VNGQdHSFPrso, VNGQdHSFPrso, VNGQdHSFPrso) = Zpzywyi92wVA(CHAOgk5VCHH_, Dx_DllZ8uCko, HDH7OEwZuDah, cfM7XaQiUYjA)
if mhetiAMxYpng is not None:
Dx_DllZ8uCko = lbJaTGnZhFmT(TFxWKtvJC3ep, Dx_DllZ8uCko, CHAOgk5VCHH_, mhetiAMxYpng, cRTh61qyvi24, cfM7XaQiUYjA)
return (Dx_DllZ8uCko, jI0E6zso5mLP)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py
|
_fix_attribute_names
|
def _fix_attribute_names(attrs, change_map):
"""
Change attribute names as per values in change_map dictionary.
Parameters
----------
:param attrs : dict Dict of operator attributes
:param change_map : dict Dict of onnx attribute name to mxnet attribute names.
Returns
-------
:return new_attr : dict Converted dict of operator attributes.
"""
new_attr = {}
for k in attrs.keys():
if k in change_map:
new_attr[change_map[k]] = attrs[k]
else:
new_attr[k] = attrs[k]
return new_attr
|
python
|
def _fix_attribute_names(attrs, change_map):
"""
Change attribute names as per values in change_map dictionary.
Parameters
----------
:param attrs : dict Dict of operator attributes
:param change_map : dict Dict of onnx attribute name to mxnet attribute names.
Returns
-------
:return new_attr : dict Converted dict of operator attributes.
"""
new_attr = {}
for k in attrs.keys():
if k in change_map:
new_attr[change_map[k]] = attrs[k]
else:
new_attr[k] = attrs[k]
return new_attr
|
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"new_attr",
"[",
"k",
"]",
"=",
"attrs",
"[",
"k",
"]",
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] |
Change attribute names as per values in change_map dictionary.
Parameters
----------
:param attrs : dict Dict of operator attributes
:param change_map : dict Dict of onnx attribute name to mxnet attribute names.
Returns
-------
:return new_attr : dict Converted dict of operator attributes.
|
[
"Change",
"attribute",
"names",
"as",
"per",
"values",
"in",
"change_map",
"dictionary",
".",
"Parameters",
"----------",
":",
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"to",
"mxnet",
"attribute",
"names",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py#L29-L47
|
train
|
Change attribute names as per values in change_map dictionary.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(1707 - 1656) + '\x36' + chr(0b10001 + 0o44), 0o10), ehT0Px3KOsy9(chr(1853 - 1805) + chr(0b1101111) + chr(854 - 804) + '\x37' + '\062', 35596 - 35588), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(50) + chr(0b110010) + '\x34', 0b1000), ehT0Px3KOsy9(chr(371 - 323) + chr(0b1000 + 0o147) + '\061' + chr(119 - 69), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6841 - 6730) + chr(0b101001 + 0o11) + chr(2251 - 2199) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x35' + '\x33', 47630 - 47622), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b110101) + chr(0b110000), 37427 - 37419), ehT0Px3KOsy9(chr(2133 - 2085) + chr(111) + chr(1822 - 1771), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + chr(0b100001 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(7498 - 7387) + chr(49) + chr(0b110000) + chr(598 - 548), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(0b101110 + 0o3) + '\x32', 8), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(51) + chr(218 - 167) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(321 - 270) + chr(0b100000 + 0o25), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100110 + 0o14) + '\062' + '\064', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\061' + chr(0b101011 + 0o11), 0o10), ehT0Px3KOsy9(chr(1986 - 1938) + chr(0b1101111) + '\061' + '\066' + '\065', 23818 - 23810), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x31' + chr(2547 - 2494), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(0b110010) + '\x37' + chr(1359 - 1310), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(233 - 183) + chr(0b110101) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(704 - 653) + chr(52) + '\x30', 16732 - 16724), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2115 - 2066), 2814 - 2806), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\x35' + chr(0b110001), 20941 - 20933), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\x37' + chr(2188 - 2139), 43687 - 43679), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + chr(0b101001 + 0o12) + chr(0b110000) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\x34' + chr(0b0 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100 + 0o55) + chr(0b110011) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1938 - 1887) + '\x32' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1225 - 1177) + '\157' + chr(0b110100) + chr(0b110011), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(167 - 115) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + chr(2099 - 1988) + chr(798 - 747) + '\x36' + chr(0b101010 + 0o11), 43988 - 43980), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x37' + chr(995 - 942), 0o10), ehT0Px3KOsy9(chr(48) + chr(1707 - 1596) + '\061' + chr(0b10 + 0o64) + chr(53), 8), ehT0Px3KOsy9('\x30' + chr(0b11000 + 0o127) + chr(0b10011 + 0o40) + chr(49) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110010) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(9351 - 9240) + '\x31' + '\x30' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3816 - 3705) + chr(0b110011) + '\x31' + '\x36', 65392 - 65384), ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + '\067' + chr(1412 - 1364), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3719 - 3608) + chr(53) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x36' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\066' + chr(315 - 267), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + '\065' + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb'), chr(3595 - 3495) + chr(302 - 201) + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(10291 - 10189) + chr(0b11100 + 0o21) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GixAWlBPeBSd(oIhwMA96NShQ, G_IbGF7EB2OQ):
H0tYDEJ9qY50 = {}
for OolUPRJhRaJd in xafqLlk3kkUe(oIhwMA96NShQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\xdf\xedy'), chr(4250 - 4150) + chr(0b1100101) + chr(3667 - 3568) + chr(2488 - 2377) + chr(0b111101 + 0o47) + chr(4535 - 4434))('\x75' + chr(116) + chr(0b10 + 0o144) + chr(0b11000 + 0o25) + chr(56)))():
if OolUPRJhRaJd in G_IbGF7EB2OQ:
H0tYDEJ9qY50[G_IbGF7EB2OQ[OolUPRJhRaJd]] = oIhwMA96NShQ[OolUPRJhRaJd]
else:
H0tYDEJ9qY50[OolUPRJhRaJd] = oIhwMA96NShQ[OolUPRJhRaJd]
return H0tYDEJ9qY50
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py
|
_remove_attributes
|
def _remove_attributes(attrs, remove_list):
"""
Removes attributes in the remove list from the input attribute dict
:param attrs : Dict of operator attributes
:param remove_list : list of attributes to be removed
:return new_attr : Dict of operator attributes without the listed attributes.
"""
new_attrs = {}
for attr in attrs.keys():
if attr not in remove_list:
new_attrs[attr] = attrs[attr]
return new_attrs
|
python
|
def _remove_attributes(attrs, remove_list):
"""
Removes attributes in the remove list from the input attribute dict
:param attrs : Dict of operator attributes
:param remove_list : list of attributes to be removed
:return new_attr : Dict of operator attributes without the listed attributes.
"""
new_attrs = {}
for attr in attrs.keys():
if attr not in remove_list:
new_attrs[attr] = attrs[attr]
return new_attrs
|
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"[",
"attr",
"]",
"=",
"attrs",
"[",
"attr",
"]",
"return",
"new_attrs"
] |
Removes attributes in the remove list from the input attribute dict
:param attrs : Dict of operator attributes
:param remove_list : list of attributes to be removed
:return new_attr : Dict of operator attributes without the listed attributes.
|
[
"Removes",
"attributes",
"in",
"the",
"remove",
"list",
"from",
"the",
"input",
"attribute",
"dict",
":",
"param",
"attrs",
":",
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":",
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"remove_list",
":",
"list",
"of",
"attributes",
"to",
"be",
"removed"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py#L49-L61
|
train
|
Removes attributes in the remove list from the input attribute dict.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b101100 + 0o10), 58473 - 58465), ehT0Px3KOsy9(chr(1804 - 1756) + chr(0b1101111) + '\061' + chr(1816 - 1765) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b1010 + 0o46), 0o10), ehT0Px3KOsy9('\x30' + chr(2463 - 2352) + '\x32' + chr(49) + chr(0b1101 + 0o43), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + chr(0b110010) + chr(0b110010) + chr(53), 45944 - 45936), ehT0Px3KOsy9(chr(1905 - 1857) + chr(111) + chr(51) + chr(2245 - 2196) + chr(1537 - 1487), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b110011) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(11739 - 11628) + '\x33' + chr(0b10110 + 0o37) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10010 + 0o44) + chr(0b11100 + 0o31), 0b1000), ehT0Px3KOsy9(chr(594 - 546) + '\x6f' + '\061' + chr(55) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + chr(0b110011) + chr(0b110110) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b110111) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(50) + chr(839 - 785), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(53) + chr(0b1100 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(0b110001) + '\063' + chr(1994 - 1943), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b111 + 0o54) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + '\064' + chr(0b10 + 0o56), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\062' + chr(2498 - 2447), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(54) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\x32' + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(140 - 29) + chr(2434 - 2383) + chr(1579 - 1528) + chr(0b1100 + 0o44), 7133 - 7125), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\066' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(7562 - 7451) + '\062' + '\060' + chr(0b100000 + 0o20), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x37' + chr(739 - 688), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b110011 + 0o4) + chr(51), 8), ehT0Px3KOsy9(chr(414 - 366) + '\x6f' + chr(49) + chr(54) + '\x35', 60707 - 60699), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b10100 + 0o133) + chr(0b1 + 0o62) + '\x30' + chr(0b100001 + 0o25), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b110101) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(0b100101 + 0o15) + chr(2701 - 2646), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(0b10001 + 0o43) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(1767 - 1717) + chr(0b1011 + 0o51), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(49) + '\x31' + chr(198 - 146), 0o10), ehT0Px3KOsy9(chr(767 - 719) + '\157' + chr(50) + '\x35' + '\061', 0o10), ehT0Px3KOsy9(chr(1232 - 1184) + chr(111) + chr(49) + '\065' + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(2192 - 2139) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(2942 - 2831) + chr(0b110010) + chr(49) + chr(0b11011 + 0o34), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101110 + 0o101) + chr(0b101010 + 0o12) + '\065', 34344 - 34336), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(2380 - 2329) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001 + 0o0) + chr(52) + '\x32', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(10444 - 10333) + chr(0b110101) + chr(0b101110 + 0o2), 50644 - 50636)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'2'), chr(0b100100 + 0o100) + '\145' + chr(4032 - 3933) + chr(5862 - 5751) + '\144' + '\x65')('\x75' + chr(0b1110100) + '\146' + chr(417 - 372) + chr(224 - 168)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def cj21VIy7QTmH(oIhwMA96NShQ, bJwE2mXjjRr8):
Oynw8flqk0TY = {}
for uwnd9_euJYKT in xafqLlk3kkUe(oIhwMA96NShQ, xafqLlk3kkUe(SXOLrMavuUCe(b'w>i\xfb'), '\144' + chr(101) + '\x63' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1100001 + 0o24) + chr(0b1110100) + '\146' + chr(861 - 816) + '\x38'))():
if uwnd9_euJYKT not in bJwE2mXjjRr8:
Oynw8flqk0TY[uwnd9_euJYKT] = oIhwMA96NShQ[uwnd9_euJYKT]
return Oynw8flqk0TY
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py
|
_add_extra_attributes
|
def _add_extra_attributes(attrs, extra_attr_map):
"""
:param attrs: Current Attribute list
:param extraAttrMap: Additional attributes to be added
:return: new_attr
"""
for attr in extra_attr_map:
if attr not in attrs:
attrs[attr] = extra_attr_map[attr]
return attrs
|
python
|
def _add_extra_attributes(attrs, extra_attr_map):
"""
:param attrs: Current Attribute list
:param extraAttrMap: Additional attributes to be added
:return: new_attr
"""
for attr in extra_attr_map:
if attr not in attrs:
attrs[attr] = extra_attr_map[attr]
return attrs
|
[
"def",
"_add_extra_attributes",
"(",
"attrs",
",",
"extra_attr_map",
")",
":",
"for",
"attr",
"in",
"extra_attr_map",
":",
"if",
"attr",
"not",
"in",
"attrs",
":",
"attrs",
"[",
"attr",
"]",
"=",
"extra_attr_map",
"[",
"attr",
"]",
"return",
"attrs"
] |
:param attrs: Current Attribute list
:param extraAttrMap: Additional attributes to be added
:return: new_attr
|
[
":",
"param",
"attrs",
":",
"Current",
"Attribute",
"list",
":",
"param",
"extraAttrMap",
":",
"Additional",
"attributes",
"to",
"be",
"added",
":",
"return",
":",
"new_attr"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py#L63-L72
|
train
|
Adds extra attributes to the current attribute 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(0b1100101 + 0o12) + chr(50) + chr(0b11010 + 0o31) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + '\x32' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1571 - 1523) + chr(0b1101111) + '\062' + '\066' + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\065' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b110001) + chr(2439 - 2387), 42209 - 42201), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(975 - 926) + chr(2698 - 2645), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2112 - 2062) + chr(542 - 490) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + chr(0b1011 + 0o50) + chr(0b100 + 0o63) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(2456 - 2401) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x34' + '\x34', 52455 - 52447), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b110011) + chr(2071 - 2016), ord("\x08")), ehT0Px3KOsy9(chr(1909 - 1861) + '\157' + chr(0b11011 + 0o33) + chr(338 - 289), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1 + 0o61) + chr(0b110011 + 0o1) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(639 - 586), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + '\063' + chr(0b10100 + 0o34) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101 + 0o55) + chr(0b110111) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + chr(1926 - 1876) + '\061' + chr(726 - 671), 15701 - 15693), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110101) + chr(0b10000 + 0o46), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(52) + chr(48), 46782 - 46774), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x34' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11936 - 11825) + chr(2145 - 2095) + '\060' + chr(684 - 631), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(1030 - 979) + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\062' + chr(0b110011), 51752 - 51744), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\x32' + chr(422 - 373), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(476 - 428) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(1566 - 1513) + chr(0b101111 + 0o3), 0o10), ehT0Px3KOsy9(chr(337 - 289) + chr(9943 - 9832) + '\063' + chr(0b110111) + '\061', 13491 - 13483), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(0b110001 + 0o6) + chr(51), 8), ehT0Px3KOsy9(chr(1425 - 1377) + chr(3511 - 3400) + chr(49) + chr(0b100000 + 0o20), 28302 - 28294), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1000 + 0o51) + chr(1290 - 1239) + '\067', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(1522 - 1473) + chr(0b101010 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(536 - 488) + '\x6f' + '\x33' + '\064' + '\x32', 50866 - 50858), ehT0Px3KOsy9('\060' + chr(0b1101111 + 0o0) + '\063' + '\064' + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2351 - 2301) + chr(54) + '\x30', 0b1000), ehT0Px3KOsy9(chr(2087 - 2039) + chr(1159 - 1048) + '\063' + '\064' + '\067', 0b1000), ehT0Px3KOsy9(chr(1607 - 1559) + chr(111) + '\x31' + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(7384 - 7273) + chr(0b111 + 0o53) + chr(0b11101 + 0o27) + '\x32', 20538 - 20530), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(50) + chr(201 - 148), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110100) + '\066', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(1416 - 1363) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7'), chr(0b1001010 + 0o32) + '\145' + chr(5602 - 5503) + chr(4717 - 4606) + '\x64' + '\145')('\165' + '\164' + chr(366 - 264) + chr(0b100101 + 0o10) + chr(0b101100 + 0o14)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def IF1jqOUgLurt(oIhwMA96NShQ, BCGIhQRhBYtf):
for uwnd9_euJYKT in BCGIhQRhBYtf:
if uwnd9_euJYKT not in oIhwMA96NShQ:
oIhwMA96NShQ[uwnd9_euJYKT] = BCGIhQRhBYtf[uwnd9_euJYKT]
return oIhwMA96NShQ
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py
|
_pad_sequence_fix
|
def _pad_sequence_fix(attr, kernel_dim=None):
"""Changing onnx's pads sequence to match with mxnet's pad_width
mxnet: (x1_begin, x1_end, ... , xn_begin, xn_end)
onnx: (x1_begin, x2_begin, ... , xn_end, xn_end)"""
new_attr = ()
if len(attr) % 2 == 0:
for index in range(int(len(attr) / 2)):
new_attr = new_attr + attr[index::int(len(attr) / 2)]
# Making sure pad values are in the attr for all axes.
if kernel_dim is not None:
while len(new_attr) < kernel_dim*2:
new_attr = new_attr + (0, 0)
return new_attr
|
python
|
def _pad_sequence_fix(attr, kernel_dim=None):
"""Changing onnx's pads sequence to match with mxnet's pad_width
mxnet: (x1_begin, x1_end, ... , xn_begin, xn_end)
onnx: (x1_begin, x2_begin, ... , xn_end, xn_end)"""
new_attr = ()
if len(attr) % 2 == 0:
for index in range(int(len(attr) / 2)):
new_attr = new_attr + attr[index::int(len(attr) / 2)]
# Making sure pad values are in the attr for all axes.
if kernel_dim is not None:
while len(new_attr) < kernel_dim*2:
new_attr = new_attr + (0, 0)
return new_attr
|
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] |
Changing onnx's pads sequence to match with mxnet's pad_width
mxnet: (x1_begin, x1_end, ... , xn_begin, xn_end)
onnx: (x1_begin, x2_begin, ... , xn_end, xn_end)
|
[
"Changing",
"onnx",
"s",
"pads",
"sequence",
"to",
"match",
"with",
"mxnet",
"s",
"pad_width",
"mxnet",
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"xn_end",
")"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py#L75-L88
|
train
|
Fix padding sequence to match with mxnet s pad_width
.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(2181 - 2132) + chr(0b110101) + '\x36', 39918 - 39910), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b0 + 0o63) + '\063' + chr(886 - 831), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100011 + 0o20), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2193 - 2142) + chr(0b110111) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\064' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b11 + 0o56) + chr(0b101011 + 0o6) + '\x33', 34381 - 34373), ehT0Px3KOsy9('\060' + chr(11680 - 11569) + chr(0b110011) + chr(859 - 804) + chr(397 - 347), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b11110 + 0o121) + chr(0b110011) + '\x31' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2343 - 2294) + chr(580 - 530) + '\066', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + '\x31' + chr(55) + '\066', 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(2560 - 2505), 1596 - 1588), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + '\x32' + chr(0b110011), 59835 - 59827), ehT0Px3KOsy9(chr(48) + chr(6169 - 6058) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b11 + 0o57) + chr(0b110000), 45581 - 45573), ehT0Px3KOsy9(chr(48) + chr(0b1010001 + 0o36) + '\061' + '\062' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1817 - 1769) + '\157' + chr(54) + chr(55), 0b1000), ehT0Px3KOsy9(chr(813 - 765) + '\157' + '\x32' + '\065' + chr(0b10 + 0o64), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\067' + chr(1921 - 1867), 0o10), ehT0Px3KOsy9('\060' + chr(4630 - 4519) + '\x36' + '\064', 34858 - 34850), ehT0Px3KOsy9(chr(48) + '\157' + chr(1922 - 1872) + '\x32' + chr(805 - 757), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\060' + chr(0b110110), 58756 - 58748), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063', 8), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(0b11010 + 0o27) + chr(0b1 + 0o65) + chr(2440 - 2390), 16219 - 16211), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b11010 + 0o33) + chr(55), 7965 - 7957), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\062' + chr(1379 - 1327) + chr(55), 24594 - 24586), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x34' + '\x34', 0o10), ehT0Px3KOsy9(chr(1823 - 1775) + '\x6f' + chr(0b1011 + 0o46) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + '\063' + '\x37' + '\065', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(55) + '\061', 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1010011 + 0o34) + chr(0b11001 + 0o32) + chr(0b110001) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(606 - 555) + chr(1575 - 1521) + chr(0b101111 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(0b110001) + '\x34' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10101 + 0o33), 52762 - 52754), ehT0Px3KOsy9(chr(1775 - 1727) + chr(0b1000 + 0o147) + chr(49) + chr(0b11 + 0o62) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(2283 - 2235) + chr(111) + '\061' + chr(0b110101), 1030 - 1022), ehT0Px3KOsy9('\x30' + chr(2118 - 2007) + chr(0b1011 + 0o50) + chr(0b111 + 0o56) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(970 - 922) + chr(0b1101111) + chr(50) + '\060' + '\x32', 48020 - 48012), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\x30' + chr(0b11001 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(5918 - 5807) + chr(0b11 + 0o56) + chr(0b101010 + 0o14) + '\067', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(471 - 420) + chr(0b110100) + chr(0b11110 + 0o31), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(1348 - 1300), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'@'), chr(0b1000110 + 0o36) + '\x65' + chr(0b10011 + 0o120) + '\x6f' + '\144' + chr(0b111000 + 0o55))('\x75' + '\164' + chr(102) + chr(1372 - 1327) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def cskBSg6HWXDb(uwnd9_euJYKT, HjDpLg3oalN7=None):
H0tYDEJ9qY50 = ()
if c2A0yzQpDQB3(uwnd9_euJYKT) % ehT0Px3KOsy9('\x30' + '\157' + '\x32', ord("\x08")) == ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(157 - 46) + '\060', 8):
for XdowRbJKZWL9 in vQr8gNKaIaWE(ehT0Px3KOsy9(c2A0yzQpDQB3(uwnd9_euJYKT) / ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32', 8))):
H0tYDEJ9qY50 = H0tYDEJ9qY50 + uwnd9_euJYKT[XdowRbJKZWL9::ehT0Px3KOsy9(c2A0yzQpDQB3(uwnd9_euJYKT) / ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10010 + 0o40), 8))]
if HjDpLg3oalN7 is not None:
while c2A0yzQpDQB3(H0tYDEJ9qY50) < HjDpLg3oalN7 * ehT0Px3KOsy9('\060' + '\x6f' + chr(50), 8):
H0tYDEJ9qY50 = H0tYDEJ9qY50 + (ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(48), 8), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(7711 - 7600) + chr(0b101000 + 0o10), 8))
return H0tYDEJ9qY50
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py
|
_fix_pooling
|
def _fix_pooling(pool_type, inputs, new_attr):
"""onnx pooling operator supports asymmetrical padding
Adding pad operator before pooling in mxnet to work with onnx"""
stride = new_attr.get('stride')
kernel = new_attr.get('kernel')
padding = new_attr.get('pad')
p_value = new_attr.get('p_value')
# Adding default stride.
if stride is None:
stride = (1,) * len(kernel)
# Add padding attr if not provided.
if padding is None:
padding = (0,) * len(kernel) * 2
# Mxnet Pad operator supports only 4D/5D tensors.
# For 1D case, these are the steps:
# Step 1. Add extra dummy dimension to make it 4D. Adding to axis = 2
# Step 2. Apply padding to this changed tensor
# Step 3. Remove the extra dimension added in step 1.
if len(kernel) == 1:
dummy_axis = 2
# setting 0 padding to the new dim to be added.
padding = (0, padding[0], 0, padding[1])
pad_width = (0, 0, 0, 0) + _pad_sequence_fix(padding, kernel_dim=2)
# Step 1.
curr_sym = symbol.expand_dims(inputs[0], axis=dummy_axis)
# Step 2. Common for all tensor sizes
new_pad_op = symbol.pad(curr_sym, mode='edge', pad_width=pad_width)
# Step 3: Removing extra dim added.
new_pad_op = symbol.split(new_pad_op, axis=dummy_axis, num_outputs=1, squeeze_axis=1)
else:
# For 2D/3D cases:
# Apply padding
pad_width = (0, 0, 0, 0) + _pad_sequence_fix(padding, kernel_dim=len(kernel))
curr_sym = inputs[0]
if pool_type == 'max':
# For max pool : mode = 'edge', we should replicate the
# edge values to pad, so that we only include input data values
# for calculating 'max'
new_pad_op = symbol.pad(curr_sym, mode='edge', pad_width=pad_width)
else:
# For avg pool, we should add 'zeros' for padding so mode='constant'
new_pad_op = symbol.pad(curr_sym, mode='constant', pad_width=pad_width)
# Apply pooling without pads.
if pool_type == 'lp':
new_pooling_op = symbol.Pooling(new_pad_op, pool_type=pool_type, stride=stride, kernel=kernel, p_value=p_value)
else:
new_pooling_op = symbol.Pooling(new_pad_op, pool_type=pool_type, stride=stride, kernel=kernel)
return new_pooling_op
|
python
|
def _fix_pooling(pool_type, inputs, new_attr):
"""onnx pooling operator supports asymmetrical padding
Adding pad operator before pooling in mxnet to work with onnx"""
stride = new_attr.get('stride')
kernel = new_attr.get('kernel')
padding = new_attr.get('pad')
p_value = new_attr.get('p_value')
# Adding default stride.
if stride is None:
stride = (1,) * len(kernel)
# Add padding attr if not provided.
if padding is None:
padding = (0,) * len(kernel) * 2
# Mxnet Pad operator supports only 4D/5D tensors.
# For 1D case, these are the steps:
# Step 1. Add extra dummy dimension to make it 4D. Adding to axis = 2
# Step 2. Apply padding to this changed tensor
# Step 3. Remove the extra dimension added in step 1.
if len(kernel) == 1:
dummy_axis = 2
# setting 0 padding to the new dim to be added.
padding = (0, padding[0], 0, padding[1])
pad_width = (0, 0, 0, 0) + _pad_sequence_fix(padding, kernel_dim=2)
# Step 1.
curr_sym = symbol.expand_dims(inputs[0], axis=dummy_axis)
# Step 2. Common for all tensor sizes
new_pad_op = symbol.pad(curr_sym, mode='edge', pad_width=pad_width)
# Step 3: Removing extra dim added.
new_pad_op = symbol.split(new_pad_op, axis=dummy_axis, num_outputs=1, squeeze_axis=1)
else:
# For 2D/3D cases:
# Apply padding
pad_width = (0, 0, 0, 0) + _pad_sequence_fix(padding, kernel_dim=len(kernel))
curr_sym = inputs[0]
if pool_type == 'max':
# For max pool : mode = 'edge', we should replicate the
# edge values to pad, so that we only include input data values
# for calculating 'max'
new_pad_op = symbol.pad(curr_sym, mode='edge', pad_width=pad_width)
else:
# For avg pool, we should add 'zeros' for padding so mode='constant'
new_pad_op = symbol.pad(curr_sym, mode='constant', pad_width=pad_width)
# Apply pooling without pads.
if pool_type == 'lp':
new_pooling_op = symbol.Pooling(new_pad_op, pool_type=pool_type, stride=stride, kernel=kernel, p_value=p_value)
else:
new_pooling_op = symbol.Pooling(new_pad_op, pool_type=pool_type, stride=stride, kernel=kernel)
return new_pooling_op
|
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")",
"return",
"new_pooling_op"
] |
onnx pooling operator supports asymmetrical padding
Adding pad operator before pooling in mxnet to work with onnx
|
[
"onnx",
"pooling",
"operator",
"supports",
"asymmetrical",
"padding",
"Adding",
"pad",
"operator",
"before",
"pooling",
"in",
"mxnet",
"to",
"work",
"with",
"onnx"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py#L91-L146
|
train
|
This function handles the pooling operator.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(51) + '\063' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + '\065' + chr(532 - 484), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(11972 - 11861) + '\065' + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + '\063' + chr(0b110001) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(483 - 432) + chr(0b10101 + 0o35) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(7419 - 7308) + chr(0b110010) + '\060', 19831 - 19823), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(5710 - 5599) + chr(274 - 225) + chr(677 - 626) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\063' + chr(1536 - 1483), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(1881 - 1830) + '\x37', 11510 - 11502), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(978 - 923) + chr(1588 - 1533), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1011100 + 0o23) + chr(1895 - 1844) + chr(0b101100 + 0o11) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(311 - 263) + chr(0b110100 + 0o73) + chr(50) + chr(0b11011 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x37' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101 + 0o142) + chr(0b101111 + 0o2) + chr(0b110000), 48331 - 48323), ehT0Px3KOsy9(chr(986 - 938) + chr(0b1101111) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1505 - 1455) + chr(0b11101 + 0o30) + chr(0b110110), 6974 - 6966), ehT0Px3KOsy9(chr(48) + chr(9351 - 9240) + chr(1578 - 1528) + '\064' + chr(0b110 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + '\x35' + chr(0b1011 + 0o54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011001 + 0o26) + chr(49) + chr(51) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(50) + chr(851 - 796) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\x30' + chr(1987 - 1933), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + '\063' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2426 - 2376) + '\060' + chr(1480 - 1427), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10110 + 0o131) + chr(0b110011) + chr(534 - 484) + chr(52), 8), ehT0Px3KOsy9(chr(2170 - 2122) + chr(6523 - 6412) + chr(0b11111 + 0o23) + chr(50) + chr(2244 - 2196), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(0b101110 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110000 + 0o5) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + '\061' + chr(54) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b11 + 0o154) + '\x32' + '\063' + '\063', 0o10), ehT0Px3KOsy9(chr(1861 - 1813) + '\x6f' + chr(1612 - 1557) + chr(0b101101 + 0o3), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(807 - 758) + chr(0b110110), 64496 - 64488), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(225 - 175) + chr(2581 - 2528), 8), ehT0Px3KOsy9(chr(0b110000) + chr(7189 - 7078) + '\x32', 8), ehT0Px3KOsy9(chr(1166 - 1118) + '\157' + '\061' + chr(440 - 389) + chr(2154 - 2099), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b101010 + 0o105) + '\x32' + '\x34' + chr(1216 - 1163), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9643 - 9532) + '\x36' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + '\063' + '\x34' + chr(0b110100), 23339 - 23331), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(49) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + '\061' + chr(0b100100 + 0o14) + chr(0b110110), 40107 - 40099), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + '\x32' + chr(48) + chr(0b110001), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(680 - 569) + chr(0b101 + 0o60) + chr(0b1 + 0o57), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3'), chr(0b1010111 + 0o15) + '\x65' + chr(2068 - 1969) + '\157' + chr(0b1000100 + 0o40) + '\x65')('\x75' + chr(5163 - 5047) + '\146' + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def woHeuDhzM9Ki(yUDH3B76DCVQ, vXoupepMtCXU, H0tYDEJ9qY50):
VKQ5wcD30goF = H0tYDEJ9qY50.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\\_\xa6\xb0u'), '\144' + chr(101) + chr(0b1100011) + chr(12005 - 11894) + '\144' + '\x65')(chr(13266 - 13149) + chr(0b11111 + 0o125) + '\146' + chr(45) + chr(1309 - 1253)))
iaILEoszmqXb = H0tYDEJ9qY50.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6M_\xa1\xb1|'), '\144' + chr(0b1000100 + 0o41) + '\x63' + '\157' + chr(0b1100100) + chr(0b1100101))('\x75' + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b111000)))
TFLseEYASEKG = H0tYDEJ9qY50.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xadII'), '\144' + chr(101) + chr(0b1010 + 0o131) + chr(2466 - 2355) + '\x64' + '\x65')('\165' + '\164' + chr(102) + '\055' + '\070'))
ISoGSZZI5hde = H0tYDEJ9qY50.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xadw[\xae\xb8e>'), chr(0b1100100) + '\145' + chr(99) + chr(8364 - 8253) + chr(7485 - 7385) + chr(0b1011111 + 0o6))(chr(0b1110101) + chr(0b1000100 + 0o60) + '\146' + chr(0b100001 + 0o14) + chr(0b111000)))
if VKQ5wcD30goF is None:
VKQ5wcD30goF = (ehT0Px3KOsy9('\060' + chr(111) + chr(0b10011 + 0o36), 48137 - 48129),) * c2A0yzQpDQB3(iaILEoszmqXb)
if TFLseEYASEKG is None:
TFLseEYASEKG = (ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 0o10),) * c2A0yzQpDQB3(iaILEoszmqXb) * ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10000 + 0o42), 8)
if c2A0yzQpDQB3(iaILEoszmqXb) == ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + chr(49), 8):
Nk7xj2N423JY = ehT0Px3KOsy9(chr(481 - 433) + chr(9902 - 9791) + chr(0b100100 + 0o16), 8)
TFLseEYASEKG = (ehT0Px3KOsy9(chr(1886 - 1838) + chr(0b1101111) + chr(48), 8), TFLseEYASEKG[ehT0Px3KOsy9(chr(190 - 142) + '\157' + chr(1019 - 971), 8)], ehT0Px3KOsy9('\060' + chr(0b1101111) + '\060', 8), TFLseEYASEKG[ehT0Px3KOsy9(chr(48) + chr(111) + chr(1280 - 1231), 8)])
cTcaitHYqg1G = (ehT0Px3KOsy9(chr(1882 - 1834) + '\157' + chr(0b11011 + 0o25), 8), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1000111 + 0o50) + chr(48), 8), ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + chr(0b101 + 0o53), 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(48), 8)) + cskBSg6HWXDb(TFLseEYASEKG, kernel_dim=ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b11001 + 0o31), 8))
yP0oNK1FsbKX = Usr5ykvL2UZF.expand_dims(vXoupepMtCXU[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1910 - 1862), 8)], axis=Nk7xj2N423JY)
u9J_i_tdzljb = Usr5ykvL2UZF.pad(yP0oNK1FsbKX, mode=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8LJ\xaa'), '\144' + '\x65' + chr(2868 - 2769) + '\157' + chr(0b1100100) + '\x65')(chr(117) + chr(6417 - 6301) + chr(3015 - 2913) + chr(0b100000 + 0o15) + chr(0b111000)), pad_width=cTcaitHYqg1G)
u9J_i_tdzljb = Usr5ykvL2UZF.split(u9J_i_tdzljb, axis=Nk7xj2N423JY, num_outputs=ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + chr(0b101011 + 0o6), 8), squeeze_axis=ehT0Px3KOsy9('\x30' + chr(0b1100010 + 0o15) + chr(1379 - 1330), 8))
else:
cTcaitHYqg1G = (ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(48), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(1220 - 1172), 8), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + chr(0b10001 + 0o37), 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + '\060', 8)) + cskBSg6HWXDb(TFLseEYASEKG, kernel_dim=c2A0yzQpDQB3(iaILEoszmqXb))
yP0oNK1FsbKX = vXoupepMtCXU[ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + chr(0b101111 + 0o1), 8)]
if yUDH3B76DCVQ == xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0IU'), chr(7898 - 7798) + chr(0b1100101) + '\x63' + '\157' + chr(0b1100100) + chr(5474 - 5373))('\x75' + chr(116) + '\x66' + chr(1479 - 1434) + chr(56)):
u9J_i_tdzljb = Usr5ykvL2UZF.pad(yP0oNK1FsbKX, mode=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8LJ\xaa'), '\x64' + '\x65' + chr(0b100011 + 0o100) + chr(0b1100000 + 0o17) + '\x64' + '\x65')(chr(117) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(393 - 337)), pad_width=cTcaitHYqg1G)
else:
u9J_i_tdzljb = Usr5ykvL2UZF.pad(yP0oNK1FsbKX, mode=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbeGC\xbc\xa0q5)'), chr(100) + chr(101) + chr(0b0 + 0o143) + chr(0b101111 + 0o100) + chr(100) + '\x65')('\165' + chr(0b1110100) + chr(6991 - 6889) + chr(45) + chr(56)), pad_width=cTcaitHYqg1G)
if yUDH3B76DCVQ == xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1X'), chr(0b1100100) + chr(101) + '\143' + '\157' + '\x64' + chr(0b1100101))(chr(2842 - 2725) + chr(116) + '\146' + chr(45) + '\070'):
nncJdlCcDMTv = Usr5ykvL2UZF.Pooling(u9J_i_tdzljb, pool_type=yUDH3B76DCVQ, stride=VKQ5wcD30goF, kernel=iaILEoszmqXb, p_value=ISoGSZZI5hde)
else:
nncJdlCcDMTv = Usr5ykvL2UZF.Pooling(u9J_i_tdzljb, pool_type=yUDH3B76DCVQ, stride=VKQ5wcD30goF, kernel=iaILEoszmqXb)
return nncJdlCcDMTv
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py
|
_fix_bias
|
def _fix_bias(op_name, attrs, num_inputs):
"""A workaround for 'use_bias' attribute since onnx don't provide this attribute,
we have to check the number of inputs to decide it."""
if num_inputs == 3:
attrs['no_bias'] = False
elif num_inputs == 2:
attrs['no_bias'] = True
else:
raise ValueError("Unexpected number of inputs for: {}".format(op_name))
return attrs
|
python
|
def _fix_bias(op_name, attrs, num_inputs):
"""A workaround for 'use_bias' attribute since onnx don't provide this attribute,
we have to check the number of inputs to decide it."""
if num_inputs == 3:
attrs['no_bias'] = False
elif num_inputs == 2:
attrs['no_bias'] = True
else:
raise ValueError("Unexpected number of inputs for: {}".format(op_name))
return attrs
|
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A workaround for 'use_bias' attribute since onnx don't provide this attribute,
we have to check the number of inputs to decide it.
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py#L148-L157
|
train
|
A workaround for use_bias attribute since onnx don t provide this attribute.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1793 - 1742) + chr(0b110001 + 0o4) + '\064', 51883 - 51875), ehT0Px3KOsy9(chr(2199 - 2151) + chr(0b1010010 + 0o35) + chr(1634 - 1584) + chr(49) + '\066', 46626 - 46618), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + chr(2520 - 2465) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b110100), 4586 - 4578), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(55) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(2431 - 2378) + chr(1737 - 1686), 59848 - 59840), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\067' + '\x31', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b0 + 0o61) + chr(1852 - 1799) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1665 - 1615) + chr(55) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(51) + chr(0b101111 + 0o6), 44929 - 44921), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(2243 - 2190) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100001 + 0o20) + chr(1419 - 1366) + chr(0b1100 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11101 + 0o26) + '\067' + '\x35', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100 + 0o56) + chr(0b101110 + 0o10) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + chr(49) + chr(0b110010) + chr(0b11 + 0o57), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + '\x34' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + '\061' + '\061' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(934 - 886) + chr(9183 - 9072) + chr(50) + '\x30' + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(55) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1460 - 1412) + chr(0b1101111) + chr(1473 - 1419) + chr(1262 - 1212), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\x32' + chr(0b10111 + 0o33), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1001111 + 0o40) + chr(50) + chr(53) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101 + 0o142) + '\063' + '\x31' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\x31' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1789 - 1739) + chr(2077 - 2024) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(2091 - 2043) + chr(111) + chr(50) + chr(0b110100) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b100000 + 0o22), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\x32' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(8396 - 8285) + chr(1335 - 1285) + chr(0b101100 + 0o11) + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110000) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b101111 + 0o1) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2534 - 2481), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\x36' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(796 - 745) + chr(0b110111) + chr(713 - 663), 8), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(49) + chr(57 - 2), 0b1000), ehT0Px3KOsy9(chr(734 - 686) + '\x6f' + chr(0b110001) + '\x32' + chr(0b110010), 8), ehT0Px3KOsy9('\060' + chr(7256 - 7145) + chr(90 - 40) + chr(0b110101) + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1715 - 1666) + chr(437 - 386) + chr(0b110010), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2320 - 2267) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1011100 + 0o23) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(102) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZGzUZhBapsuk(SEaMkyljYwZh, oIhwMA96NShQ, gjMqORDCm2Cl):
if gjMqORDCm2Cl == ehT0Px3KOsy9('\060' + chr(0b110111 + 0o70) + chr(0b110011), 49236 - 49228):
oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\xe1dv\xd0}\xd8'), chr(0b110011 + 0o61) + '\x65' + chr(8692 - 8593) + chr(111) + chr(100) + chr(101))(chr(9378 - 9261) + '\x74' + chr(1554 - 1452) + '\055' + chr(56))] = ehT0Px3KOsy9('\060' + chr(0b100011 + 0o114) + '\x30', 0b1000)
elif gjMqORDCm2Cl == ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062', 8):
oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\xe1dv\xd0}\xd8'), '\144' + '\x65' + chr(0b11100 + 0o107) + chr(9928 - 9817) + '\144' + '\x65')(chr(117) + chr(0b1100000 + 0o24) + chr(4921 - 4819) + chr(1449 - 1404) + chr(56))] = ehT0Px3KOsy9(chr(48) + chr(8793 - 8682) + '\x31', 60658 - 60650)
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xe0^l\xc9y\xc8\xcd\x0b\xdb}v\x9b\x05\x9f\xd1 \x04&\xe7\xda[\xfc\xda\xbc?\xde\x83d\xfb\xd8\xbcb~\x0c'), chr(100) + chr(101) + chr(0b1001001 + 0o32) + '\x6f' + chr(0b10111 + 0o115) + chr(0b11001 + 0o114))(chr(117) + chr(12019 - 11903) + chr(0b1000100 + 0o42) + chr(1022 - 977) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\xbaI{\xf1}\xf8\x8a>\xcf8r'), chr(100) + '\145' + '\x63' + chr(0b111110 + 0o61) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b1001 + 0o44) + chr(56)))(SEaMkyljYwZh))
return oIhwMA96NShQ
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py
|
_fix_broadcast
|
def _fix_broadcast(op_name, inputs, broadcast_axis, proto_obj):
"""A workaround to reshape bias term to (1, num_channel)."""
if int(len(proto_obj._params)) > 0:
assert len(list(inputs)) == 2
input0_shape = get_input_shape(inputs[0], proto_obj)
#creating reshape shape
reshape_shape = list(len(input0_shape) * (1,))
reshape_shape[broadcast_axis] = -1
reshape_shape = tuple(reshape_shape)
reshape_op_sym = symbol.reshape(inputs[1], shape=reshape_shape)
op_sym = getattr(symbol, op_name)(inputs[0], reshape_op_sym)
else:
op_sym = op_name
return op_sym
|
python
|
def _fix_broadcast(op_name, inputs, broadcast_axis, proto_obj):
"""A workaround to reshape bias term to (1, num_channel)."""
if int(len(proto_obj._params)) > 0:
assert len(list(inputs)) == 2
input0_shape = get_input_shape(inputs[0], proto_obj)
#creating reshape shape
reshape_shape = list(len(input0_shape) * (1,))
reshape_shape[broadcast_axis] = -1
reshape_shape = tuple(reshape_shape)
reshape_op_sym = symbol.reshape(inputs[1], shape=reshape_shape)
op_sym = getattr(symbol, op_name)(inputs[0], reshape_op_sym)
else:
op_sym = op_name
return op_sym
|
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A workaround to reshape bias term to (1, num_channel).
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py#L159-L173
|
train
|
A workaround to reshape bias term to num_channel.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b10 + 0o62), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + '\061' + chr(0b110101) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(51) + chr(0b1011 + 0o52), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(49) + '\x32', 0b1000), ehT0Px3KOsy9(chr(318 - 270) + chr(0b110001 + 0o76) + '\063' + '\062' + chr(0b110000), 6369 - 6361), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\061' + chr(0b110010) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + '\x35' + chr(710 - 657), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\064' + chr(145 - 96), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x31' + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(0b11001 + 0o126) + chr(0b110111) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + chr(0b100010 + 0o17) + chr(117 - 68) + chr(54), 8), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(4470 - 4359) + chr(0b110001 + 0o0) + '\065' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(1672 - 1624), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x37' + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101110 + 0o1) + chr(1611 - 1561) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\x33' + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(584 - 473) + chr(738 - 689) + chr(0b110111) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + chr(0b0 + 0o63) + chr(0b1101 + 0o44) + chr(0b11101 + 0o30), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110000 + 0o3) + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b110011) + chr(0b110000) + '\065', 0o10), ehT0Px3KOsy9(chr(1465 - 1417) + chr(341 - 230) + '\x33' + chr(0b100 + 0o63) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(53) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1126 - 1078) + chr(111) + chr(55), 42892 - 42884), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(49) + chr(0b110101) + '\x31', 38139 - 38131), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + chr(2300 - 2246) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\066' + '\066', 8), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b110110) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + '\x31' + '\064' + chr(0b11100 + 0o30), 14734 - 14726), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110111) + chr(0b0 + 0o67), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b100011 + 0o24) + chr(0b11011 + 0o25), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b110 + 0o151) + '\061' + '\065' + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(131 - 76) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110010) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(10949 - 10838) + chr(1918 - 1869) + '\x35' + chr(0b110011), 63621 - 63613), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b111100 + 0o63) + '\061' + chr(0b110001) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11886 - 11775) + '\061' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + chr(55) + chr(0b101111 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(818 - 770) + '\x6f' + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100001 + 0o20) + chr(1259 - 1208) + chr(53), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(8559 - 8448) + chr(595 - 542) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b':'), chr(100) + chr(0b1111 + 0o126) + chr(0b1100011) + chr(0b11001 + 0o126) + '\x64' + '\x65')(chr(117) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b100111 + 0o21)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RYsF24MXniL1(SEaMkyljYwZh, vXoupepMtCXU, vmi55pThSAKg, tKGh31ynuvmM):
if ehT0Px3KOsy9(c2A0yzQpDQB3(xafqLlk3kkUe(tKGh31ynuvmM, xafqLlk3kkUe(SXOLrMavuUCe(b'd%/e\x9a6A\xe0<E\x04`'), chr(0b111101 + 0o47) + chr(3961 - 3860) + chr(0b1100011) + chr(8879 - 8768) + '\x64' + chr(5280 - 5179))(chr(0b1110101) + chr(116) + chr(102) + chr(605 - 560) + chr(56))))) > ehT0Px3KOsy9(chr(48) + '\157' + chr(161 - 113), 8):
assert c2A0yzQpDQB3(YyaZ4tpXu4lf(vXoupepMtCXU)) == ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010), 0b1000)
sjZvDI2VmRAb = iRQQ35j9D4qT(vXoupepMtCXU[ehT0Px3KOsy9(chr(1109 - 1061) + chr(0b1101111) + '\060', 8)], tKGh31ynuvmM)
TTb6rlTz2h_U = YyaZ4tpXu4lf(c2A0yzQpDQB3(sjZvDI2VmRAb) * (ehT0Px3KOsy9('\x30' + chr(0b11010 + 0o125) + '\061', 0o10),))
TTb6rlTz2h_U[vmi55pThSAKg] = -ehT0Px3KOsy9(chr(48) + chr(2184 - 2073) + chr(0b100101 + 0o14), 8)
TTb6rlTz2h_U = KNyTy8rYcwji(TTb6rlTz2h_U)
j8RaL0X2qm4d = Usr5ykvL2UZF.reshape(vXoupepMtCXU[ehT0Px3KOsy9('\060' + chr(111) + '\061', 8)], shape=TTb6rlTz2h_U)
FPIhMogVbIMy = xafqLlk3kkUe(Usr5ykvL2UZF, SEaMkyljYwZh)(vXoupepMtCXU[ehT0Px3KOsy9('\060' + chr(111) + '\060', 8)], j8RaL0X2qm4d)
else:
FPIhMogVbIMy = SEaMkyljYwZh
return FPIhMogVbIMy
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py
|
_fix_channels
|
def _fix_channels(op_name, attrs, inputs, proto_obj):
"""A workaround for getting 'channels' or 'units' since onnx don't provide
these attributes. We check the shape of weights provided to get the number.
"""
weight_name = inputs[1].name
if not weight_name in proto_obj._params:
raise ValueError("Unable to get channels/units attr from onnx graph.")
else:
wshape = proto_obj._params[weight_name].shape
assert len(wshape) >= 2, "Weights shape is invalid: {}".format(wshape)
if op_name == 'FullyConnected':
attrs['num_hidden'] = wshape[0]
else:
if op_name == 'Convolution':
# Weight shape for Conv and FC: (M x C x kH x kW) : M is number of
# feature maps/hidden and C is number of channels
attrs['num_filter'] = wshape[0]
elif op_name == 'Deconvolution':
# Weight shape for DeConv : (C x M x kH x kW) : M is number of
# feature maps/filters and C is number of channels
attrs['num_filter'] = wshape[1]
return attrs
|
python
|
def _fix_channels(op_name, attrs, inputs, proto_obj):
"""A workaround for getting 'channels' or 'units' since onnx don't provide
these attributes. We check the shape of weights provided to get the number.
"""
weight_name = inputs[1].name
if not weight_name in proto_obj._params:
raise ValueError("Unable to get channels/units attr from onnx graph.")
else:
wshape = proto_obj._params[weight_name].shape
assert len(wshape) >= 2, "Weights shape is invalid: {}".format(wshape)
if op_name == 'FullyConnected':
attrs['num_hidden'] = wshape[0]
else:
if op_name == 'Convolution':
# Weight shape for Conv and FC: (M x C x kH x kW) : M is number of
# feature maps/hidden and C is number of channels
attrs['num_filter'] = wshape[0]
elif op_name == 'Deconvolution':
# Weight shape for DeConv : (C x M x kH x kW) : M is number of
# feature maps/filters and C is number of channels
attrs['num_filter'] = wshape[1]
return attrs
|
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] |
A workaround for getting 'channels' or 'units' since onnx don't provide
these attributes. We check the shape of weights provided to get the number.
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py#L176-L198
|
train
|
A workaround for getting channels or units since onnx don t provide them.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(6997 - 6886) + chr(639 - 590) + '\062' + chr(0b110101 + 0o1), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(245 - 190) + chr(148 - 97), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b110010) + chr(334 - 279), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(49) + '\060' + chr(53), 49315 - 49307), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11 + 0o57) + '\066' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(673 - 623) + chr(0b111 + 0o56) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\x35' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1876 - 1825) + '\062' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\061' + chr(0b10101 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(87 - 39) + chr(0b100 + 0o153) + '\067' + chr(0b110 + 0o56), 0b1000), ehT0Px3KOsy9('\x30' + chr(1460 - 1349) + '\x31' + '\062' + chr(465 - 417), 298 - 290), ehT0Px3KOsy9('\x30' + chr(11832 - 11721) + chr(0b110010) + '\x36' + chr(873 - 819), 58181 - 58173), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(2503 - 2392) + '\x36' + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10616 - 10505) + chr(0b110101) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011100 + 0o23) + chr(49) + chr(0b101110 + 0o10), 0o10), ehT0Px3KOsy9(chr(409 - 361) + chr(0b1101111) + chr(0b10101 + 0o34) + '\x36' + '\x37', 0b1000), ehT0Px3KOsy9(chr(1611 - 1563) + '\157' + chr(0b110001) + '\x36' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101100 + 0o3) + chr(49) + chr(0b1101 + 0o47) + chr(1994 - 1940), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\062' + chr(0b111 + 0o55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1534 - 1482) + chr(1356 - 1305), 2844 - 2836), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1011001 + 0o26) + chr(1977 - 1928) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1990 - 1942) + chr(0b10001 + 0o136) + chr(51) + chr(0b110000) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\064' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x31' + chr(55), 31153 - 31145), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\x32' + chr(1701 - 1653), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b10 + 0o56) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1234 - 1183) + '\x36' + '\x35', 12100 - 12092), ehT0Px3KOsy9(chr(1076 - 1028) + chr(111) + '\062' + '\x32' + chr(52), 17595 - 17587), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110101) + chr(2178 - 2128), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(0b101110 + 0o3), 56131 - 56123), ehT0Px3KOsy9(chr(48) + chr(4525 - 4414) + chr(51) + chr(0b110000) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(0b110011) + '\x35' + chr(0b110111), 8), ehT0Px3KOsy9(chr(259 - 211) + '\x6f' + chr(49) + chr(0b110101) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(3868 - 3757) + chr(2038 - 1987) + chr(0b110100) + chr(0b11101 + 0o30), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110100), 20762 - 20754), ehT0Px3KOsy9(chr(746 - 698) + '\x6f' + chr(1163 - 1113) + '\063' + chr(2317 - 2266), 0o10), ehT0Px3KOsy9(chr(2283 - 2235) + chr(8824 - 8713) + chr(50) + chr(51) + chr(2388 - 2333), 0o10), ehT0Px3KOsy9(chr(375 - 327) + chr(111) + chr(49) + chr(1764 - 1712) + chr(48), 36957 - 36949), ehT0Px3KOsy9(chr(48) + chr(111) + '\x36' + chr(1914 - 1863), 8), ehT0Px3KOsy9(chr(1845 - 1797) + '\x6f' + chr(49) + '\x31' + chr(83 - 34), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + '\x35' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'x'), chr(0b1100100) + chr(0b110111 + 0o56) + '\143' + chr(111) + chr(1830 - 1730) + '\145')('\x75' + '\164' + chr(5508 - 5406) + chr(609 - 564) + chr(0b101000 + 0o20)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def HHHtA35bBisK(SEaMkyljYwZh, oIhwMA96NShQ, vXoupepMtCXU, tKGh31ynuvmM):
BHLV_3sVvvE_ = vXoupepMtCXU[ehT0Px3KOsy9(chr(1290 - 1242) + chr(111) + chr(0b10001 + 0o40), 0o10)].AIvJRzLdDfgF
if BHLV_3sVvvE_ not in xafqLlk3kkUe(tKGh31ynuvmM, xafqLlk3kkUe(SXOLrMavuUCe(b'&s\xe5*\xfd\xcb\x83\x978D\x1a\xcc'), '\144' + chr(101) + chr(99) + chr(111) + chr(2681 - 2581) + chr(0b1110 + 0o127))('\165' + chr(11045 - 10929) + chr(0b1100110) + chr(305 - 260) + chr(56))):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x03U\xf6\'\xdb\xcb\xcf\xa2%\x1c7\xd3G\tm\x1f\x14\x08:Fa\xb3\x8f\xfa\xbe\xe8\x81\xe7\np\xb6\x9b\x1e\xc5b\xe9\xf0\r\x13&8U\xefe\xd0\xdc\x8e\xa6"\x12'), chr(100) + chr(10123 - 10022) + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1100100 + 0o1))(chr(0b1110101) + chr(12242 - 12126) + '\146' + chr(0b101101) + '\x38'))
else:
KcTf3UvKCZnU = tKGh31ynuvmM._params[BHLV_3sVvvE_].nauYfLglTpcb
assert c2A0yzQpDQB3(KcTf3UvKCZnU) >= ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1 + 0o61), ord("\x08")), xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x01^\xfe"\xdf\xda\x9c\xf69T1\xc6V\tg\x04U\x0f:Ul\xac\xc9\xeb\xea\xa1\x8e\xe9'), chr(5122 - 5022) + chr(101) + chr(0b1100011) + chr(0b1010110 + 0o31) + chr(0b1100100) + '\x65')(chr(0b11010 + 0o133) + chr(4349 - 4233) + chr(102) + chr(0b10101 + 0o30) + chr(0b110 + 0o62)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x00\x0f\xe5*\xff\xcf\xbc\xe5\x1aL5\xdc'), '\x64' + chr(4662 - 4561) + chr(5663 - 5564) + chr(111) + chr(0b1100100) + chr(0b1001000 + 0o35))('\x75' + '\x74' + chr(0b1100110) + chr(45) + chr(0b111000)))(KcTf3UvKCZnU)
if SEaMkyljYwZh == xafqLlk3kkUe(SXOLrMavuUCe(b'\x10N\xfb)\xce\xed\x80\xb8$Y3\xc2VM'), '\144' + '\145' + chr(8861 - 8762) + '\157' + '\144' + '\145')(chr(117) + '\x74' + chr(102) + chr(0b101101) + '\x38'):
oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b'8N\xfa\x1a\xdf\xc7\x8b\xb2/R'), chr(0b1100100) + chr(4590 - 4489) + chr(7381 - 7282) + '\x6f' + chr(100) + chr(3148 - 3047))(chr(1146 - 1029) + chr(5176 - 5060) + chr(102) + chr(45) + chr(2634 - 2578))] = KcTf3UvKCZnU[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), 0o10)]
elif SEaMkyljYwZh == xafqLlk3kkUe(SXOLrMavuUCe(b'\x15T\xf93\xd8\xc2\x9a\xa2#S>'), '\144' + chr(0b1100101) + chr(2613 - 2514) + '\x6f' + chr(100) + '\x65')(chr(117) + '\164' + chr(4114 - 4012) + chr(45) + chr(56)):
oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b'8N\xfa\x1a\xd1\xc7\x83\xa2/N'), '\144' + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(5054 - 4954) + '\x65')(chr(364 - 247) + '\x74' + chr(0b11011 + 0o113) + chr(0b101101) + '\070')] = KcTf3UvKCZnU[ehT0Px3KOsy9(chr(48) + chr(8964 - 8853) + chr(48), 8)]
elif SEaMkyljYwZh == xafqLlk3kkUe(SXOLrMavuUCe(b'\x12^\xf4*\xd9\xd8\x80\xba?H9\xd9]'), chr(0b110110 + 0o56) + chr(2029 - 1928) + chr(0b1111 + 0o124) + '\157' + '\144' + chr(313 - 212))(chr(0b0 + 0o165) + chr(11616 - 11500) + chr(0b1001 + 0o135) + chr(45) + chr(56)):
oIhwMA96NShQ[xafqLlk3kkUe(SXOLrMavuUCe(b'8N\xfa\x1a\xd1\xc7\x83\xa2/N'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(186 - 85))('\x75' + chr(0b11101 + 0o127) + chr(5823 - 5721) + chr(45) + chr(0b111000))] = KcTf3UvKCZnU[ehT0Px3KOsy9('\060' + '\x6f' + chr(916 - 867), 8)]
return oIhwMA96NShQ
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py
|
_fix_gemm
|
def _fix_gemm(op_name, inputs, old_attr, proto_obj):
"""Using FullyConnected operator in place of linalg_gemm to perform same operation"""
op_sym = getattr(symbol, op_name, None)
alpha = float(old_attr.get('alpha', 1.0))
beta = float(old_attr.get('beta', 1.0))
trans_a = int(old_attr.get('transA', 0))
trans_b = int(old_attr.get('transB', 0))
if trans_a:
inputs[0] = symbol.transpose(inputs[0], axes=(1, 0))
if not trans_b:
inputs[1] = symbol.transpose(inputs[1], axes=(1, 0))
new_inputs = [alpha*inputs[0], inputs[1], beta*inputs[2]]
new_attr = {'num_hidden' : proto_obj._params[inputs[2].name].shape[0]}
return op_sym, new_attr, new_inputs
|
python
|
def _fix_gemm(op_name, inputs, old_attr, proto_obj):
"""Using FullyConnected operator in place of linalg_gemm to perform same operation"""
op_sym = getattr(symbol, op_name, None)
alpha = float(old_attr.get('alpha', 1.0))
beta = float(old_attr.get('beta', 1.0))
trans_a = int(old_attr.get('transA', 0))
trans_b = int(old_attr.get('transB', 0))
if trans_a:
inputs[0] = symbol.transpose(inputs[0], axes=(1, 0))
if not trans_b:
inputs[1] = symbol.transpose(inputs[1], axes=(1, 0))
new_inputs = [alpha*inputs[0], inputs[1], beta*inputs[2]]
new_attr = {'num_hidden' : proto_obj._params[inputs[2].name].shape[0]}
return op_sym, new_attr, new_inputs
|
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Using FullyConnected operator in place of linalg_gemm to perform same operation
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py#L201-L214
|
train
|
Using FullyConnected operator in place of linalg_gemm to perform same operation
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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) + '\x33' + chr(50) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000000 + 0o57) + '\063' + chr(48) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(2207 - 2159) + chr(0b1101111) + '\x32' + chr(0b110010) + '\067', 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(0b11101 + 0o25) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b1100 + 0o53) + chr(0b1001 + 0o53), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(53) + chr(0b11 + 0o60), 10019 - 10011), ehT0Px3KOsy9(chr(1897 - 1849) + '\157' + chr(49) + '\x31' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1779 - 1731) + '\x6f' + '\063' + chr(0b110001) + '\066', 48688 - 48680), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(0b110011) + chr(0b110111) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b11010 + 0o30) + chr(0b1010 + 0o50), 15799 - 15791), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1486 - 1435) + '\066' + '\064', 0o10), ehT0Px3KOsy9(chr(271 - 223) + chr(0b1101111) + chr(0b10001 + 0o40) + chr(54) + chr(54), 0o10), ehT0Px3KOsy9(chr(871 - 823) + chr(0b1001110 + 0o41) + chr(0b11000 + 0o33) + '\063', 37082 - 37074), ehT0Px3KOsy9('\060' + chr(0b1000101 + 0o52) + '\x36' + '\067', 63408 - 63400), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(50) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b11100 + 0o123) + chr(0b100110 + 0o13) + '\066' + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\060' + chr(0b101001 + 0o14), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(55) + chr(0b100001 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11254 - 11143) + chr(385 - 335) + chr(0b110001) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(923 - 873) + '\063' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + '\063' + chr(0b110011) + '\063', 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + '\062' + chr(1084 - 1036) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b110010) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(1612 - 1563) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2301 - 2246), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1783 - 1734) + chr(0b11101 + 0o32) + chr(0b100010 + 0o23), 31610 - 31602), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b110110) + '\x30', 10652 - 10644), ehT0Px3KOsy9(chr(584 - 536) + chr(3953 - 3842) + '\067' + chr(0b11 + 0o62), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1674 - 1620), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\064' + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(53) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1710 - 1662) + chr(0b101010 + 0o105) + chr(0b100011 + 0o17) + chr(0b110110) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + chr(0b110010) + chr(0b1100 + 0o51) + chr(208 - 155), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101101 + 0o10) + chr(980 - 931), 59751 - 59743), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110101) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(126 - 78) + chr(2273 - 2162) + chr(762 - 713) + chr(382 - 329) + '\067', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b110011) + chr(49), 41923 - 41915), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\061' + '\x31' + chr(2431 - 2377), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101010 + 0o5) + chr(50) + chr(0b110111) + '\x34', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(624 - 576) + chr(0b1101111) + '\065' + chr(1710 - 1662), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc'), chr(9778 - 9678) + '\145' + chr(0b1100011) + chr(3871 - 3760) + '\144' + chr(0b1100101))(chr(117) + chr(0b1010100 + 0o40) + chr(5450 - 5348) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def LsBR27mY6Lep(SEaMkyljYwZh, vXoupepMtCXU, ao43FKxeroWk, tKGh31ynuvmM):
FPIhMogVbIMy = xafqLlk3kkUe(Usr5ykvL2UZF, SEaMkyljYwZh, None)
gDUX9w35YHFE = kkSX4ccExqw4(ao43FKxeroWk.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\xa8\xe7~\xdd'), chr(9259 - 9159) + chr(2579 - 2478) + chr(0b1100011) + chr(2394 - 2283) + chr(0b1100100) + '\x65')(chr(117) + chr(116) + '\146' + chr(45) + '\x38'), 1.0))
FjcovgoHM1LG = kkSX4ccExqw4(ao43FKxeroWk.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\xa1\xe3w'), chr(2014 - 1914) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b10100 + 0o120) + '\x65')('\165' + '\164' + '\146' + chr(1562 - 1517) + chr(0b111000)), 1.0))
Wv5lajduifZe = ehT0Px3KOsy9(ao43FKxeroWk.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\xb6\xf6x\xcfO'), chr(0b1100100) + chr(7243 - 7142) + '\x63' + '\x6f' + chr(100) + '\145')(chr(0b1110101) + chr(0b10100 + 0o140) + '\146' + chr(0b101101) + chr(0b111000)), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000), 0o10)))
JOJkiZgSUrDK = ehT0Px3KOsy9(ao43FKxeroWk.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\xb6\xf6x\xcfL'), '\144' + chr(8453 - 8352) + chr(0b11110 + 0o105) + '\x6f' + chr(100) + chr(0b1100101))('\165' + '\x74' + chr(4064 - 3962) + chr(0b101101) + chr(0b111000)), ehT0Px3KOsy9(chr(48) + chr(111) + '\060', 8)))
if Wv5lajduifZe:
vXoupepMtCXU[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110000), 8)] = Usr5ykvL2UZF.transpose(vXoupepMtCXU[ehT0Px3KOsy9(chr(1509 - 1461) + '\157' + chr(0b111 + 0o51), 8)], axes=(ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b101000 + 0o107) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(5166 - 5055) + chr(0b110000), 8)))
if not JOJkiZgSUrDK:
vXoupepMtCXU[ehT0Px3KOsy9('\x30' + chr(3669 - 3558) + chr(1658 - 1609), 8)] = Usr5ykvL2UZF.transpose(vXoupepMtCXU[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49), 8)], axes=(ehT0Px3KOsy9(chr(959 - 911) + chr(111) + chr(0b10111 + 0o32), 8), ehT0Px3KOsy9(chr(1267 - 1219) + chr(0b11110 + 0o121) + chr(0b110000), 8)))
_kVftqoKhv4s = [gDUX9w35YHFE * vXoupepMtCXU[ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + chr(0b10 + 0o56), 8)], vXoupepMtCXU[ehT0Px3KOsy9('\060' + '\157' + chr(0b100001 + 0o20), 8)], FjcovgoHM1LG * vXoupepMtCXU[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(313 - 263), 0o10)]]
H0tYDEJ9qY50 = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\xb1\xfaI\xd4gO)\xab\x94'), chr(2492 - 2392) + chr(1334 - 1233) + chr(8111 - 8012) + chr(0b1101111) + '\144' + chr(101))(chr(0b1110101) + chr(0b1011001 + 0o33) + chr(0b1100110) + chr(939 - 894) + chr(3045 - 2989)): tKGh31ynuvmM._params[vXoupepMtCXU[ehT0Px3KOsy9(chr(0b110000) + chr(7615 - 7504) + chr(0b100010 + 0o20), 8)].name].nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(111) + chr(48), 8)]}
return (FPIhMogVbIMy, H0tYDEJ9qY50, _kVftqoKhv4s)
|
apache/incubator-mxnet
|
python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py
|
get_input_shape
|
def get_input_shape(sym, proto_obj):
"""Helper function to obtain the shape of an array"""
arg_params = proto_obj.arg_dict
aux_params = proto_obj.aux_dict
model_input_shape = [data[1] for data in proto_obj.model_metadata.get('input_tensor_data')]
data_names = [data[0] for data in proto_obj.model_metadata.get('input_tensor_data')]
# creating dummy inputs
inputs = []
for in_shape in model_input_shape:
inputs.append(nd.ones(shape=in_shape))
data_shapes = []
for idx, input_name in enumerate(data_names):
data_shapes.append((input_name, inputs[idx].shape))
ctx = context.cpu()
# create a module
mod = module.Module(symbol=sym, data_names=data_names, context=ctx, label_names=None)
mod.bind(for_training=False, data_shapes=data_shapes, label_shapes=None)
mod.set_params(arg_params=arg_params, aux_params=aux_params)
data_forward = []
for idx, input_name in enumerate(data_names):
val = inputs[idx]
data_forward.append(val)
mod.forward(io.DataBatch(data_forward))
result = mod.get_outputs()[0].asnumpy()
return result.shape
|
python
|
def get_input_shape(sym, proto_obj):
"""Helper function to obtain the shape of an array"""
arg_params = proto_obj.arg_dict
aux_params = proto_obj.aux_dict
model_input_shape = [data[1] for data in proto_obj.model_metadata.get('input_tensor_data')]
data_names = [data[0] for data in proto_obj.model_metadata.get('input_tensor_data')]
# creating dummy inputs
inputs = []
for in_shape in model_input_shape:
inputs.append(nd.ones(shape=in_shape))
data_shapes = []
for idx, input_name in enumerate(data_names):
data_shapes.append((input_name, inputs[idx].shape))
ctx = context.cpu()
# create a module
mod = module.Module(symbol=sym, data_names=data_names, context=ctx, label_names=None)
mod.bind(for_training=False, data_shapes=data_shapes, label_shapes=None)
mod.set_params(arg_params=arg_params, aux_params=aux_params)
data_forward = []
for idx, input_name in enumerate(data_names):
val = inputs[idx]
data_forward.append(val)
mod.forward(io.DataBatch(data_forward))
result = mod.get_outputs()[0].asnumpy()
return result.shape
|
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] |
Helper function to obtain the shape of an array
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/contrib/onnx/onnx2mx/_translation_utils.py#L216-L247
|
train
|
Helper function to obtain the shape of an array
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(1403 - 1292) + '\x33' + chr(48) + chr(666 - 611), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\x35' + chr(0b11010 + 0o35), 2757 - 2749), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\065' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + chr(49) + chr(51) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(528 - 480) + '\157' + '\x33' + '\x35' + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(49) + chr(275 - 224), 50085 - 50077), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + chr(49) + chr(873 - 818) + chr(0b111 + 0o60), 49102 - 49094), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + '\x33' + '\065' + chr(0b110011), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b110 + 0o61) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\064' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b100100 + 0o22) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\x32' + '\064', 53194 - 53186), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1 + 0o156) + chr(50) + chr(0b110001) + chr(0b10101 + 0o34), 0o10), ehT0Px3KOsy9(chr(48) + chr(10460 - 10349) + chr(51) + '\x37' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b101000 + 0o16), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x34' + chr(0b1100 + 0o52), 62369 - 62361), ehT0Px3KOsy9(chr(129 - 81) + chr(111) + chr(0b10111 + 0o34) + chr(0b10111 + 0o33) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\067' + chr(0b10011 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + chr(0b110010) + '\x30' + chr(0b10 + 0o64), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\066' + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b10001 + 0o45) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\060' + chr(1521 - 1470), 48487 - 48479), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100) + '\x37', 8), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(5877 - 5766) + chr(0b10000 + 0o41) + '\x31' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b0 + 0o63) + chr(0b110101) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(2288 - 2237) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1101 + 0o45) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(10907 - 10796) + '\x33' + '\x37' + '\067', 63041 - 63033), ehT0Px3KOsy9('\060' + chr(5997 - 5886) + chr(1070 - 1020) + chr(0b110101) + chr(0b110111), 9829 - 9821), ehT0Px3KOsy9('\060' + chr(0b111 + 0o150) + '\x33' + chr(0b110110) + chr(666 - 618), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + chr(0b110011) + '\066' + '\x35', 47815 - 47807), ehT0Px3KOsy9(chr(48) + chr(6013 - 5902) + chr(51) + '\066' + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\x31' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110 + 0o54) + '\x30' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100011 + 0o20) + '\x36' + chr(0b110101), 8), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b110111) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101100 + 0o6) + '\061' + chr(53), 8), ehT0Px3KOsy9(chr(820 - 772) + chr(111) + chr(2069 - 2020) + '\063' + chr(2071 - 2018), 0o10), ehT0Px3KOsy9(chr(1240 - 1192) + '\157' + '\062' + chr(55) + '\063', 0o10), ehT0Px3KOsy9(chr(885 - 837) + '\x6f' + chr(2259 - 2210) + chr(0b110101) + chr(1813 - 1765), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b110101 + 0o72) + chr(0b1111 + 0o46) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9'), '\144' + '\x65' + chr(99) + '\x6f' + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\x66' + '\055' + chr(2972 - 2916)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def iRQQ35j9D4qT(I7QF3KlS7cYz, tKGh31ynuvmM):
GroVdzCONmWS = tKGh31ynuvmM.arg_dict
p9GVyAqRTTRh = tKGh31ynuvmM.aux_dict
vPZVhVxb45Vm = [ULnjp6D6efFH[ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001), 0b1000)] for ULnjp6D6efFH in tKGh31ynuvmM.model_metadata.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\x81\x9b-\x9e\x14\x0b\x8e\xd1T\x1d\xe6\xd6\x9cg\xd2\xb1'), chr(100) + '\145' + chr(99) + '\157' + chr(0b11010 + 0o112) + '\145')(chr(0b1001010 + 0o53) + chr(0b11000 + 0o134) + '\x66' + chr(0b101101) + chr(0b111000)))]
qBtzKag1J9_6 = [ULnjp6D6efFH[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1735 - 1687), ord("\x08"))] for ULnjp6D6efFH in tKGh31ynuvmM.model_metadata.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\x81\x9b-\x9e\x14\x0b\x8e\xd1T\x1d\xe6\xd6\x9cg\xd2\xb1'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))('\x75' + chr(0b1100000 + 0o24) + chr(0b1001001 + 0o35) + chr(0b101100 + 0o1) + chr(56)))]
vXoupepMtCXU = []
for kXXT6PT111uG in vPZVhVxb45Vm:
xafqLlk3kkUe(vXoupepMtCXU, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\x9f\x9b=\x84/'), '\144' + chr(0b111100 + 0o51) + '\x63' + chr(5891 - 5780) + chr(1755 - 1655) + chr(8147 - 8046))(chr(117) + chr(10934 - 10818) + chr(0b1100110) + chr(45) + chr(0b101000 + 0o20)))(xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x81\x8e+'), '\144' + chr(0b1100101) + chr(99) + chr(0b101 + 0o152) + '\144' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(102) + '\055' + '\x38'))(shape=kXXT6PT111uG))
YtBSCi2IqLNC = []
for (YlqusYB6InkM, T1P2HfUVrGuW) in YlkZvXL8qwsX(qBtzKag1J9_6):
xafqLlk3kkUe(YtBSCi2IqLNC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\x9f\x9b=\x84/'), '\x64' + '\145' + chr(0b111000 + 0o53) + '\157' + '\x64' + chr(101))('\165' + '\164' + '\146' + '\x2d' + chr(56)))((T1P2HfUVrGuW, xafqLlk3kkUe(vXoupepMtCXU[YlqusYB6InkM], xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\x8e\x9e\x01\x8c\x07\x18\x87\xebW\x11\xf6'), chr(1564 - 1464) + chr(9974 - 9873) + '\x63' + '\x6f' + '\144' + chr(101))('\x75' + chr(116) + chr(0b111101 + 0o51) + chr(1393 - 1348) + chr(2836 - 2780)))))
oM3jLo753XfX = vUUG4_3aIqQC.cpu()
JHJR37KvkQhF = RqocVGOryNPv.Module(symbol=I7QF3KlS7cYz, data_names=qBtzKag1J9_6, context=oM3jLo753XfX, label_names=None)
xafqLlk3kkUe(JHJR37KvkQhF, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5\x86\x85<'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1 + 0o143) + chr(4026 - 3925))(chr(0b1110101) + chr(4497 - 4381) + chr(0b1100110) + chr(933 - 888) + '\x38'))(for_training=ehT0Px3KOsy9('\x30' + chr(0b100000 + 0o117) + '\060', 8), data_shapes=YtBSCi2IqLNC, label_shapes=None)
xafqLlk3kkUe(JHJR37KvkQhF, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\x8a\x9f\x07\x9a*\r\x8a\xd2T'), chr(7089 - 6989) + chr(101) + '\x63' + '\x6f' + chr(0b1010 + 0o132) + chr(0b11 + 0o142))('\165' + chr(0b1000011 + 0o61) + chr(102) + '\x2d' + chr(0b111000)))(arg_params=GroVdzCONmWS, aux_params=p9GVyAqRTTRh)
iOzMESnIHw4f = []
for (YlqusYB6InkM, T1P2HfUVrGuW) in YlkZvXL8qwsX(qBtzKag1J9_6):
pQxH2D_k9sXQ = vXoupepMtCXU[YlqusYB6InkM]
xafqLlk3kkUe(iOzMESnIHw4f, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\x9f\x9b=\x84/'), '\x64' + chr(0b1100101) + chr(4148 - 4049) + '\157' + chr(0b11010 + 0o112) + chr(0b1100101))(chr(6507 - 6390) + '\x74' + chr(0b1100011 + 0o3) + chr(0b101101) + chr(2039 - 1983)))(pQxH2D_k9sXQ)
xafqLlk3kkUe(JHJR37KvkQhF, xafqLlk3kkUe(SXOLrMavuUCe(b'\x80\x8d\x89;\xa9\x03*\xa5\xf9j\x18\xa1'), chr(4027 - 3927) + '\x65' + chr(1652 - 1553) + chr(111) + chr(0b100 + 0o140) + chr(101))('\165' + '\x74' + '\x66' + chr(0b11010 + 0o23) + '\070'))(xafqLlk3kkUe(Bey9a5LqdaFa, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x8e\x9f9\xa8*\x0b\x88\xd7'), '\x64' + chr(9601 - 9500) + chr(99) + chr(0b100 + 0o153) + '\144' + chr(101))(chr(11470 - 11353) + chr(10594 - 10478) + '\x66' + '\055' + chr(56)))(iOzMESnIHw4f))
ShZmEKfTkAOZ = JHJR37KvkQhF.get_outputs()[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000), 8)].asnumpy()
return xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\x8e\x9e\x01\x8c\x07\x18\x87\xebW\x11\xf6'), '\144' + '\145' + chr(0b1100011) + chr(111) + '\x64' + '\145')(chr(117) + '\x74' + chr(102) + '\x2d' + chr(0b111000)))
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
imresize
|
def imresize(src, w, h, *args, **kwargs):
r"""Resize image with OpenCV.
.. note:: `imresize` uses OpenCV (not the CV2 Python library). MXNet must have been built
with USE_OPENCV=1 for `imresize` to work.
Parameters
----------
src : NDArray
source image
w : int, required
Width of resized image.
h : int, required
Height of resized image.
interp : int, optional, default=1
Interpolation method (default=cv2.INTER_LINEAR).
Possible values:
0: Nearest Neighbors Interpolation.
1: Bilinear interpolation.
2: Area-based (resampling using pixel area relation). It may be a
preferred method for image decimation, as it gives moire-free
results. But when the image is zoomed, it is similar to the Nearest
Neighbors method. (used by default).
3: Bicubic interpolation over 4x4 pixel neighborhood.
4: Lanczos interpolation over 8x8 pixel neighborhood.
9: Cubic for enlarge, area for shrink, bilinear for others
10: Random select from interpolation method metioned above.
Note:
When shrinking an image, it will generally look best with AREA-based
interpolation, whereas, when enlarging an image, it will generally look best
with Bicubic (slow) or Bilinear (faster but still looks OK).
More details can be found in the documentation of OpenCV, please refer to
http://docs.opencv.org/master/da/d54/group__imgproc__transform.html.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
Example
-------
>>> with open("flower.jpeg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image)
>>> image
<NDArray 2321x3482x3 @cpu(0)>
>>> new_image = mx.img.resize(image, 240, 360)
>>> new_image
<NDArray 240x360x3 @cpu(0)>
"""
return _internal._cvimresize(src, w, h, *args, **kwargs)
|
python
|
def imresize(src, w, h, *args, **kwargs):
r"""Resize image with OpenCV.
.. note:: `imresize` uses OpenCV (not the CV2 Python library). MXNet must have been built
with USE_OPENCV=1 for `imresize` to work.
Parameters
----------
src : NDArray
source image
w : int, required
Width of resized image.
h : int, required
Height of resized image.
interp : int, optional, default=1
Interpolation method (default=cv2.INTER_LINEAR).
Possible values:
0: Nearest Neighbors Interpolation.
1: Bilinear interpolation.
2: Area-based (resampling using pixel area relation). It may be a
preferred method for image decimation, as it gives moire-free
results. But when the image is zoomed, it is similar to the Nearest
Neighbors method. (used by default).
3: Bicubic interpolation over 4x4 pixel neighborhood.
4: Lanczos interpolation over 8x8 pixel neighborhood.
9: Cubic for enlarge, area for shrink, bilinear for others
10: Random select from interpolation method metioned above.
Note:
When shrinking an image, it will generally look best with AREA-based
interpolation, whereas, when enlarging an image, it will generally look best
with Bicubic (slow) or Bilinear (faster but still looks OK).
More details can be found in the documentation of OpenCV, please refer to
http://docs.opencv.org/master/da/d54/group__imgproc__transform.html.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
Example
-------
>>> with open("flower.jpeg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image)
>>> image
<NDArray 2321x3482x3 @cpu(0)>
>>> new_image = mx.img.resize(image, 240, 360)
>>> new_image
<NDArray 240x360x3 @cpu(0)>
"""
return _internal._cvimresize(src, w, h, *args, **kwargs)
|
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",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
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r"""Resize image with OpenCV.
.. note:: `imresize` uses OpenCV (not the CV2 Python library). MXNet must have been built
with USE_OPENCV=1 for `imresize` to work.
Parameters
----------
src : NDArray
source image
w : int, required
Width of resized image.
h : int, required
Height of resized image.
interp : int, optional, default=1
Interpolation method (default=cv2.INTER_LINEAR).
Possible values:
0: Nearest Neighbors Interpolation.
1: Bilinear interpolation.
2: Area-based (resampling using pixel area relation). It may be a
preferred method for image decimation, as it gives moire-free
results. But when the image is zoomed, it is similar to the Nearest
Neighbors method. (used by default).
3: Bicubic interpolation over 4x4 pixel neighborhood.
4: Lanczos interpolation over 8x8 pixel neighborhood.
9: Cubic for enlarge, area for shrink, bilinear for others
10: Random select from interpolation method metioned above.
Note:
When shrinking an image, it will generally look best with AREA-based
interpolation, whereas, when enlarging an image, it will generally look best
with Bicubic (slow) or Bilinear (faster but still looks OK).
More details can be found in the documentation of OpenCV, please refer to
http://docs.opencv.org/master/da/d54/group__imgproc__transform.html.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
Example
-------
>>> with open("flower.jpeg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image)
>>> image
<NDArray 2321x3482x3 @cpu(0)>
>>> new_image = mx.img.resize(image, 240, 360)
>>> new_image
<NDArray 240x360x3 @cpu(0)>
|
[
"r",
"Resize",
"image",
"with",
"OpenCV",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L86-L140
|
train
|
r Resize image with 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(chr(0b10001 + 0o37) + chr(0b111001 + 0o66) + '\061' + chr(0b110011) + chr(2876 - 2822), 0o10), ehT0Px3KOsy9(chr(1443 - 1395) + chr(10522 - 10411) + chr(2271 - 2220) + chr(2078 - 2024) + chr(0b100000 + 0o25), 34620 - 34612), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(1850 - 1801) + chr(48) + '\x34', 57309 - 57301), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(899 - 849) + chr(0b110000) + chr(579 - 528), 11949 - 11941), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(627 - 573) + chr(2063 - 2012), 48922 - 48914), ehT0Px3KOsy9(chr(310 - 262) + '\x6f' + '\x32' + chr(0b11010 + 0o35) + chr(0b100101 + 0o17), ord("\x08")), ehT0Px3KOsy9('\060' + chr(11619 - 11508) + '\x31' + '\067' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2239 - 2190) + chr(0b100101 + 0o14) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11768 - 11657) + chr(49) + chr(0b110111) + chr(0b10110 + 0o32), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2426 - 2376) + chr(0b1101 + 0o47) + chr(0b1011 + 0o52), 60195 - 60187), ehT0Px3KOsy9(chr(48) + chr(11555 - 11444) + chr(0b101001 + 0o13) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1072 - 1024) + chr(0b1101111) + '\x32' + '\062' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1173 - 1123) + chr(1593 - 1545) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b101 + 0o56) + chr(0b1111 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10010 + 0o37) + chr(0b110110) + chr(349 - 300), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100 + 0o57) + chr(0b110011) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2048 - 1999) + chr(0b101010 + 0o14) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1782 - 1732) + '\x35' + chr(0b11010 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9483 - 9372) + '\x32' + chr(49) + chr(49), 0b1000), ehT0Px3KOsy9(chr(1459 - 1411) + '\x6f' + '\x31' + '\066' + chr(0b10111 + 0o32), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(51) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b110101) + chr(0b110100), 39822 - 39814), ehT0Px3KOsy9('\x30' + chr(2373 - 2262) + chr(0b110000 + 0o3) + chr(55) + chr(0b1010 + 0o46), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(906 - 854) + chr(276 - 226), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010010 + 0o35) + chr(0b110001) + chr(0b100 + 0o60) + chr(50), 11694 - 11686), ehT0Px3KOsy9('\060' + chr(5528 - 5417) + chr(0b100001 + 0o23) + chr(811 - 756), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1993 - 1944) + chr(0b10011 + 0o36), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + '\062' + '\063' + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\x32' + '\x34', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(2283 - 2229) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(49) + '\x33', 12220 - 12212), ehT0Px3KOsy9(chr(1403 - 1355) + chr(0b1001 + 0o146) + '\x33' + chr(348 - 299) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(54) + chr(49), 36715 - 36707), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(1124 - 1071) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(7331 - 7220) + chr(0b110001) + '\x31' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(2684 - 2573) + chr(0b110010) + '\065' + '\062', 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(1514 - 1462) + chr(899 - 845), 0b1000), ehT0Px3KOsy9(chr(1157 - 1109) + '\x6f' + chr(0b1101 + 0o52) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1246 - 1198) + '\157' + chr(0b100001 + 0o22) + chr(1906 - 1858) + chr(2884 - 2829), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + chr(0b1111 + 0o41), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'p'), '\144' + chr(3654 - 3553) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(7371 - 7270))(chr(0b1110101) + chr(0b1110100) + chr(1586 - 1484) + chr(0b100000 + 0o15) + chr(0b11100 + 0o34)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def XI8dSiwB88HV(SBY5QklkRnQv, AOfzRywRzEXp, sz4HVsFVF8nL, *kJDRfRhcZHjS, **M8EIoTs2GJXE):
return xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\x962\xea\x1e\xce\x1c;\x11\xdfA'), '\144' + chr(897 - 796) + chr(5173 - 5074) + chr(111) + chr(0b1100100) + '\x65')('\165' + chr(0b1110100) + chr(3024 - 2922) + chr(0b100001 + 0o14) + chr(2201 - 2145)))(SBY5QklkRnQv, AOfzRywRzEXp, sz4HVsFVF8nL, *kJDRfRhcZHjS, **M8EIoTs2GJXE)
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
imdecode
|
def imdecode(buf, *args, **kwargs):
"""Decode an image to an NDArray.
.. note:: `imdecode` uses OpenCV (not the CV2 Python library).
MXNet must have been built with USE_OPENCV=1 for `imdecode` to work.
Parameters
----------
buf : str/bytes/bytearray or numpy.ndarray
Binary image data as string or numpy ndarray.
flag : int, optional, default=1
1 for three channel color output. 0 for grayscale output.
to_rgb : int, optional, default=1
1 for RGB formatted output (MXNet default). 0 for BGR formatted output (OpenCV default).
out : NDArray, optional
Output buffer. Use `None` for automatic allocation.
Returns
-------
NDArray
An `NDArray` containing the image.
Example
-------
>>> with open("flower.jpg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image)
>>> image
<NDArray 224x224x3 @cpu(0)>
Set `flag` parameter to 0 to get grayscale output
>>> with open("flower.jpg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image, flag=0)
>>> image
<NDArray 224x224x1 @cpu(0)>
Set `to_rgb` parameter to 0 to get output in OpenCV format (BGR)
>>> with open("flower.jpg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image, to_rgb=0)
>>> image
<NDArray 224x224x3 @cpu(0)>
"""
if not isinstance(buf, nd.NDArray):
if sys.version_info[0] == 3 and not isinstance(buf, (bytes, bytearray, np.ndarray)):
raise ValueError('buf must be of type bytes, bytearray or numpy.ndarray,'
'if you would like to input type str, please convert to bytes')
buf = nd.array(np.frombuffer(buf, dtype=np.uint8), dtype=np.uint8)
return _internal._cvimdecode(buf, *args, **kwargs)
|
python
|
def imdecode(buf, *args, **kwargs):
"""Decode an image to an NDArray.
.. note:: `imdecode` uses OpenCV (not the CV2 Python library).
MXNet must have been built with USE_OPENCV=1 for `imdecode` to work.
Parameters
----------
buf : str/bytes/bytearray or numpy.ndarray
Binary image data as string or numpy ndarray.
flag : int, optional, default=1
1 for three channel color output. 0 for grayscale output.
to_rgb : int, optional, default=1
1 for RGB formatted output (MXNet default). 0 for BGR formatted output (OpenCV default).
out : NDArray, optional
Output buffer. Use `None` for automatic allocation.
Returns
-------
NDArray
An `NDArray` containing the image.
Example
-------
>>> with open("flower.jpg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image)
>>> image
<NDArray 224x224x3 @cpu(0)>
Set `flag` parameter to 0 to get grayscale output
>>> with open("flower.jpg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image, flag=0)
>>> image
<NDArray 224x224x1 @cpu(0)>
Set `to_rgb` parameter to 0 to get output in OpenCV format (BGR)
>>> with open("flower.jpg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image, to_rgb=0)
>>> image
<NDArray 224x224x3 @cpu(0)>
"""
if not isinstance(buf, nd.NDArray):
if sys.version_info[0] == 3 and not isinstance(buf, (bytes, bytearray, np.ndarray)):
raise ValueError('buf must be of type bytes, bytearray or numpy.ndarray,'
'if you would like to input type str, please convert to bytes')
buf = nd.array(np.frombuffer(buf, dtype=np.uint8), dtype=np.uint8)
return _internal._cvimdecode(buf, *args, **kwargs)
|
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Decode an image to an NDArray.
.. note:: `imdecode` uses OpenCV (not the CV2 Python library).
MXNet must have been built with USE_OPENCV=1 for `imdecode` to work.
Parameters
----------
buf : str/bytes/bytearray or numpy.ndarray
Binary image data as string or numpy ndarray.
flag : int, optional, default=1
1 for three channel color output. 0 for grayscale output.
to_rgb : int, optional, default=1
1 for RGB formatted output (MXNet default). 0 for BGR formatted output (OpenCV default).
out : NDArray, optional
Output buffer. Use `None` for automatic allocation.
Returns
-------
NDArray
An `NDArray` containing the image.
Example
-------
>>> with open("flower.jpg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image)
>>> image
<NDArray 224x224x3 @cpu(0)>
Set `flag` parameter to 0 to get grayscale output
>>> with open("flower.jpg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image, flag=0)
>>> image
<NDArray 224x224x1 @cpu(0)>
Set `to_rgb` parameter to 0 to get output in OpenCV format (BGR)
>>> with open("flower.jpg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image, to_rgb=0)
>>> image
<NDArray 224x224x3 @cpu(0)>
|
[
"Decode",
"an",
"image",
"to",
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"NDArray",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L143-L198
|
train
|
Decode an image to an NDArray.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(1150 - 1100) + chr(0b10001 + 0o46) + chr(911 - 857), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(52) + chr(1924 - 1871), ord("\x08")), ehT0Px3KOsy9(chr(918 - 870) + '\x6f' + chr(825 - 775) + '\062' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(49) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(5812 - 5701) + chr(0b110011) + '\066' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + '\x37' + chr(52), 0o10), ehT0Px3KOsy9(chr(2152 - 2104) + chr(111) + chr(0b110011) + '\063' + chr(0b110000), 50670 - 50662), ehT0Px3KOsy9(chr(0b110000) + chr(4474 - 4363) + chr(0b10001 + 0o42) + chr(0b11110 + 0o31) + chr(0b110111), 62029 - 62021), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1319 - 1264) + '\x34', 8), ehT0Px3KOsy9(chr(1540 - 1492) + chr(0b1101111) + chr(49) + chr(0b110011) + chr(0b110010 + 0o4), 62298 - 62290), ehT0Px3KOsy9(chr(1244 - 1196) + chr(111) + '\x31' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101001 + 0o11) + chr(0b110100) + chr(48), 0o10), ehT0Px3KOsy9(chr(1184 - 1136) + '\157' + '\x31' + chr(164 - 116) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + '\060' + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(923 - 873) + chr(51) + chr(0b1111 + 0o42), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(10904 - 10793) + '\x31' + '\066' + '\x34', 18373 - 18365), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101111 + 0o3) + chr(0b101010 + 0o15) + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\067' + chr(0b110 + 0o60), 8), ehT0Px3KOsy9('\x30' + chr(11410 - 11299) + '\x32' + chr(53) + chr(0b100001 + 0o26), 0b1000), ehT0Px3KOsy9(chr(839 - 791) + chr(0b1101111) + chr(3006 - 2951) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(10618 - 10507) + '\063' + chr(0b110110) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\x35' + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(1800 - 1689) + chr(0b110001) + '\x36' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(2283 - 2228) + chr(1662 - 1614), 22272 - 22264), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(0b0 + 0o63) + chr(1621 - 1571) + chr(0b1 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + '\x32' + '\062' + chr(311 - 258), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b110111) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1635 - 1587) + chr(0b110 + 0o151) + '\061' + chr(48), 0b1000), ehT0Px3KOsy9(chr(360 - 312) + chr(0b1101111) + chr(241 - 190) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(52) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10011 + 0o134) + '\063' + chr(1311 - 1259) + '\064', 47349 - 47341), ehT0Px3KOsy9(chr(2074 - 2026) + chr(0b1101111) + chr(0b11011 + 0o27) + chr(0b1010 + 0o51) + chr(0b100110 + 0o13), 8), ehT0Px3KOsy9(chr(0b110000) + chr(8577 - 8466) + chr(2085 - 2036) + '\x31' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1892 - 1842) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(0b11000 + 0o31) + chr(2059 - 2004) + chr(54), 36577 - 36569), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\x35' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(633 - 584) + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\067' + chr(0b110011), 11906 - 11898), ehT0Px3KOsy9('\060' + chr(10065 - 9954) + chr(717 - 668) + chr(0b1111 + 0o41), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(2157 - 2046) + '\x35' + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x90'), chr(0b1100100) + chr(0b11011 + 0o112) + '\143' + chr(0b110011 + 0o74) + chr(7643 - 7543) + '\145')('\165' + chr(116) + chr(0b1100110) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def u609nKcy9gUj(b3K7dbpII422, *kJDRfRhcZHjS, **M8EIoTs2GJXE):
if not PlSM16l2KDPD(b3K7dbpII422, xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xa1\xd5<\x83]\xa1'), '\x64' + chr(101) + chr(3086 - 2987) + '\x6f' + '\144' + '\145')('\165' + chr(116) + chr(6773 - 6671) + chr(1851 - 1806) + '\x38'))):
if xafqLlk3kkUe(a2SYDDomXDZ2, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\x80\xe6=\x98S\xb6\xa0U0j\xcf'), chr(0b1000011 + 0o41) + '\x65' + chr(99) + chr(0b1010 + 0o145) + '\144' + chr(101))(chr(117) + chr(12756 - 12640) + chr(102) + chr(247 - 202) + chr(2383 - 2327)))[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 0b1000)] == ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011), 54244 - 54236) and (not PlSM16l2KDPD(b3K7dbpII422, (QOfmzcVJsrp8, QC9iu2kLpS8s, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\x81\xf5<\x83]\xa1'), chr(0b1100100) + chr(101) + chr(0b110 + 0o135) + '\x6f' + chr(0b111000 + 0o54) + chr(101))('\x75' + chr(116) + chr(0b100011 + 0o103) + chr(0b10100 + 0o31) + '\070'))))):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b"\xdc\x90\xf2n\x9cI\xab\x8b\x1c<i\x80,'\xb9\x00\xc7\xce\xca\x1f\x96\xd4\x03\x1d\xa2\xb9\x99jcQ\x81\xf8;d\x1fs\x8bc\xc9(\xd0\x90\xf9>\x88\x12\xb6\x9b],~\xc1:m\xf0\x12\x9e\xc7\xc0J\xd4\xda\x18\r\xbd\xf1\x99dsN\x81\xb9=y^c\xc5|\xce|\x9e\x91\xed>\x94\x1c\xab\x8bNr,\xd0/$\xf8\x07\xdb\x9e\xccP\x9a\xdb\x12\n\xa5\xb5\xcdg:G\x9d\xed,e"), '\144' + chr(101) + chr(998 - 899) + chr(0b10 + 0o155) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(7220 - 7104) + chr(102) + chr(430 - 385) + chr(56)))
b3K7dbpII422 = Vy_CFRcuYrTj.B0ePDhpqxN5n(WqUC3KWvYVup.frombuffer(b3K7dbpII422, dtype=WqUC3KWvYVup.uint8), dtype=WqUC3KWvYVup.uint8)
return xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b"\xe1\x86\xe2'\x9cX\xbd\x9cS:i"), '\144' + chr(6186 - 6085) + '\143' + chr(111) + '\144' + chr(0b1100101))(chr(117) + chr(12501 - 12385) + '\x66' + '\x2d' + chr(56)))(b3K7dbpII422, *kJDRfRhcZHjS, **M8EIoTs2GJXE)
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
scale_down
|
def scale_down(src_size, size):
"""Scales down crop size if it's larger than image size.
If width/height of the crop is larger than the width/height of the image,
sets the width/height to the width/height of the image.
Parameters
----------
src_size : tuple of int
Size of the image in (width, height) format.
size : tuple of int
Size of the crop in (width, height) format.
Returns
-------
tuple of int
A tuple containing the scaled crop size in (width, height) format.
Example
--------
>>> src_size = (640,480)
>>> size = (720,120)
>>> new_size = mx.img.scale_down(src_size, size)
>>> new_size
(640,106)
"""
w, h = size
sw, sh = src_size
if sh < h:
w, h = float(w * sh) / h, sh
if sw < w:
w, h = sw, float(h * sw) / w
return int(w), int(h)
|
python
|
def scale_down(src_size, size):
"""Scales down crop size if it's larger than image size.
If width/height of the crop is larger than the width/height of the image,
sets the width/height to the width/height of the image.
Parameters
----------
src_size : tuple of int
Size of the image in (width, height) format.
size : tuple of int
Size of the crop in (width, height) format.
Returns
-------
tuple of int
A tuple containing the scaled crop size in (width, height) format.
Example
--------
>>> src_size = (640,480)
>>> size = (720,120)
>>> new_size = mx.img.scale_down(src_size, size)
>>> new_size
(640,106)
"""
w, h = size
sw, sh = src_size
if sh < h:
w, h = float(w * sh) / h, sh
if sw < w:
w, h = sw, float(h * sw) / w
return int(w), int(h)
|
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] |
Scales down crop size if it's larger than image size.
If width/height of the crop is larger than the width/height of the image,
sets the width/height to the width/height of the image.
Parameters
----------
src_size : tuple of int
Size of the image in (width, height) format.
size : tuple of int
Size of the crop in (width, height) format.
Returns
-------
tuple of int
A tuple containing the scaled crop size in (width, height) format.
Example
--------
>>> src_size = (640,480)
>>> size = (720,120)
>>> new_size = mx.img.scale_down(src_size, size)
>>> new_size
(640,106)
|
[
"Scales",
"down",
"crop",
"size",
"if",
"it",
"s",
"larger",
"than",
"image",
"size",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L201-L233
|
train
|
Scales down the image size if it s larger than image size.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\x33' + chr(0b100100 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110011) + chr(1470 - 1418), 0b1000), ehT0Px3KOsy9('\060' + chr(10304 - 10193) + chr(0b110010) + '\062' + '\061', 0b1000), ehT0Px3KOsy9(chr(538 - 490) + chr(0b1101111) + '\065' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(48) + '\x32', 0o10), ehT0Px3KOsy9(chr(1433 - 1385) + chr(7179 - 7068) + chr(49) + chr(0b110100) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\x33' + '\066', 48642 - 48634), ehT0Px3KOsy9(chr(155 - 107) + '\x6f' + chr(402 - 353) + '\066' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1011110 + 0o21) + '\062' + chr(51) + '\x36', 0b1000), ehT0Px3KOsy9(chr(464 - 416) + '\x6f' + chr(51) + chr(1313 - 1263) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + '\x34' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10 + 0o57) + chr(0b1001 + 0o54) + chr(1941 - 1890), 0o10), ehT0Px3KOsy9(chr(161 - 113) + chr(4261 - 4150) + chr(0b1011 + 0o50) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\060' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(861 - 806) + chr(1157 - 1102), 37097 - 37089), ehT0Px3KOsy9(chr(1286 - 1238) + chr(111) + '\x33' + chr(2101 - 2046) + chr(0b110100), 30222 - 30214), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(54) + chr(49), 0o10), ehT0Px3KOsy9(chr(1546 - 1498) + '\157' + chr(0b1110 + 0o43) + '\067' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(9080 - 8969) + '\062' + '\x34' + chr(424 - 372), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3445 - 3334) + chr(0b110010 + 0o0) + '\062' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(10823 - 10712) + chr(49) + chr(1184 - 1133) + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b10000 + 0o44) + chr(2627 - 2573), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(618 - 507) + chr(0b110010) + chr(0b110101) + chr(0b11110 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(2286 - 2236) + chr(2256 - 2206) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(1937 - 1826) + '\066' + chr(2525 - 2473), ord("\x08")), ehT0Px3KOsy9(chr(1396 - 1348) + chr(0b1101111) + chr(0b111 + 0o56) + chr(0b11011 + 0o33), 32666 - 32658), ehT0Px3KOsy9(chr(48) + '\157' + chr(1250 - 1201) + chr(550 - 497) + '\x31', 49982 - 49974), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(55) + chr(2578 - 2525), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(2411 - 2361) + '\x37' + '\x34', 20413 - 20405), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110000) + '\062', 13475 - 13467), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(52) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(127 - 79) + chr(9416 - 9305) + chr(0b111 + 0o52) + '\x34' + chr(0b100100 + 0o23), 43601 - 43593), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100010 + 0o20) + chr(0b110101) + chr(0b11100 + 0o33), 0b1000), ehT0Px3KOsy9(chr(48) + chr(148 - 37) + chr(1220 - 1169) + chr(48) + '\x32', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\x36' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b111110 + 0o61) + chr(0b1011 + 0o52) + chr(838 - 789), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(347 - 298) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(863 - 808) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\x32' + chr(54), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110101) + chr(2228 - 2180), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(4077 - 3977) + chr(1386 - 1285))(chr(0b1110101) + '\x74' + '\146' + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def fBeIyxDtErxW(zfkquJb9E_w_, NLcc3BCJnQka):
(AOfzRywRzEXp, sz4HVsFVF8nL) = NLcc3BCJnQka
(i4RL4MfiZkvJ, jZtn0v5CBxkw) = zfkquJb9E_w_
if jZtn0v5CBxkw < sz4HVsFVF8nL:
(AOfzRywRzEXp, sz4HVsFVF8nL) = (kkSX4ccExqw4(AOfzRywRzEXp * jZtn0v5CBxkw) / sz4HVsFVF8nL, jZtn0v5CBxkw)
if i4RL4MfiZkvJ < AOfzRywRzEXp:
(AOfzRywRzEXp, sz4HVsFVF8nL) = (i4RL4MfiZkvJ, kkSX4ccExqw4(sz4HVsFVF8nL * i4RL4MfiZkvJ) / AOfzRywRzEXp)
return (ehT0Px3KOsy9(AOfzRywRzEXp), ehT0Px3KOsy9(sz4HVsFVF8nL))
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
copyMakeBorder
|
def copyMakeBorder(src, top, bot, left, right, *args, **kwargs):
"""Pad image border with OpenCV.
Parameters
----------
src : NDArray
source image
top : int, required
Top margin.
bot : int, required
Bottom margin.
left : int, required
Left margin.
right : int, required
Right margin.
type : int, optional, default='0'
Filling type (default=cv2.BORDER_CONSTANT).
0 - cv2.BORDER_CONSTANT - Adds a constant colored border.
1 - cv2.BORDER_REFLECT - Border will be mirror reflection of the
border elements, like this : fedcba|abcdefgh|hgfedcb
2 - cv2.BORDER_REFLECT_101 or cv.BORDER_DEFAULT - Same as above,
but with a slight change, like this : gfedcb|abcdefgh|gfedcba
3 - cv2.BORDER_REPLICATE - Last element is replicated throughout,
like this: aaaaaa|abcdefgh|hhhhhhh
4 - cv2.BORDER_WRAP - it will look like this : cdefgh|abcdefgh|abcdefg
value : double, optional, default=0
(Deprecated! Use ``values`` instead.) Fill with single value.
values : tuple of <double>, optional, default=[]
Fill with value(RGB[A] or gray), up to 4 channels.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
Example
--------
>>> with open("flower.jpeg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image)
>>> image
<NDArray 2321x3482x3 @cpu(0)>
>>> new_image = mx_border = mx.image.copyMakeBorder(mx_img, 1, 2, 3, 4, type=0)
>>> new_image
<NDArray 2324x3489x3 @cpu(0)>
"""
return _internal._cvcopyMakeBorder(src, top, bot, left, right, *args, **kwargs)
|
python
|
def copyMakeBorder(src, top, bot, left, right, *args, **kwargs):
"""Pad image border with OpenCV.
Parameters
----------
src : NDArray
source image
top : int, required
Top margin.
bot : int, required
Bottom margin.
left : int, required
Left margin.
right : int, required
Right margin.
type : int, optional, default='0'
Filling type (default=cv2.BORDER_CONSTANT).
0 - cv2.BORDER_CONSTANT - Adds a constant colored border.
1 - cv2.BORDER_REFLECT - Border will be mirror reflection of the
border elements, like this : fedcba|abcdefgh|hgfedcb
2 - cv2.BORDER_REFLECT_101 or cv.BORDER_DEFAULT - Same as above,
but with a slight change, like this : gfedcb|abcdefgh|gfedcba
3 - cv2.BORDER_REPLICATE - Last element is replicated throughout,
like this: aaaaaa|abcdefgh|hhhhhhh
4 - cv2.BORDER_WRAP - it will look like this : cdefgh|abcdefgh|abcdefg
value : double, optional, default=0
(Deprecated! Use ``values`` instead.) Fill with single value.
values : tuple of <double>, optional, default=[]
Fill with value(RGB[A] or gray), up to 4 channels.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
Example
--------
>>> with open("flower.jpeg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image)
>>> image
<NDArray 2321x3482x3 @cpu(0)>
>>> new_image = mx_border = mx.image.copyMakeBorder(mx_img, 1, 2, 3, 4, type=0)
>>> new_image
<NDArray 2324x3489x3 @cpu(0)>
"""
return _internal._cvcopyMakeBorder(src, top, bot, left, right, *args, **kwargs)
|
[
"def",
"copyMakeBorder",
"(",
"src",
",",
"top",
",",
"bot",
",",
"left",
",",
"right",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"_internal",
".",
"_cvcopyMakeBorder",
"(",
"src",
",",
"top",
",",
"bot",
",",
"left",
",",
"right",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] |
Pad image border with OpenCV.
Parameters
----------
src : NDArray
source image
top : int, required
Top margin.
bot : int, required
Bottom margin.
left : int, required
Left margin.
right : int, required
Right margin.
type : int, optional, default='0'
Filling type (default=cv2.BORDER_CONSTANT).
0 - cv2.BORDER_CONSTANT - Adds a constant colored border.
1 - cv2.BORDER_REFLECT - Border will be mirror reflection of the
border elements, like this : fedcba|abcdefgh|hgfedcb
2 - cv2.BORDER_REFLECT_101 or cv.BORDER_DEFAULT - Same as above,
but with a slight change, like this : gfedcb|abcdefgh|gfedcba
3 - cv2.BORDER_REPLICATE - Last element is replicated throughout,
like this: aaaaaa|abcdefgh|hhhhhhh
4 - cv2.BORDER_WRAP - it will look like this : cdefgh|abcdefgh|abcdefg
value : double, optional, default=0
(Deprecated! Use ``values`` instead.) Fill with single value.
values : tuple of <double>, optional, default=[]
Fill with value(RGB[A] or gray), up to 4 channels.
out : NDArray, optional
The output NDArray to hold the result.
Returns
-------
out : NDArray or list of NDArrays
The output of this function.
Example
--------
>>> with open("flower.jpeg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image)
>>> image
<NDArray 2321x3482x3 @cpu(0)>
>>> new_image = mx_border = mx.image.copyMakeBorder(mx_img, 1, 2, 3, 4, type=0)
>>> new_image
<NDArray 2324x3489x3 @cpu(0)>
|
[
"Pad",
"image",
"border",
"with",
"OpenCV",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L236-L286
|
train
|
This function will copy an image border with 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(chr(0b10 + 0o56) + '\x6f' + '\x31' + chr(50) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(2543 - 2432) + '\x32' + '\064' + chr(0b110111), 33580 - 33572), ehT0Px3KOsy9(chr(1151 - 1103) + chr(12142 - 12031) + chr(0b110010) + chr(465 - 410) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2083 - 2034) + chr(0b100010 + 0o21) + chr(51), 0o10), ehT0Px3KOsy9(chr(1423 - 1375) + '\157' + chr(147 - 97), 64952 - 64944), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\x31' + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\062' + '\061', 0o10), ehT0Px3KOsy9(chr(138 - 90) + '\x6f' + chr(0b10101 + 0o34) + chr(53) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(516 - 467) + chr(50) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100111 + 0o12) + '\x33' + chr(0b101110 + 0o11), 56657 - 56649), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2358 - 2308) + chr(0b100001 + 0o23) + chr(839 - 785), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(53) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1542 - 1491) + '\x36' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(538 - 427) + chr(0b101 + 0o54) + '\064' + '\065', 0o10), ehT0Px3KOsy9(chr(409 - 361) + chr(0b1001010 + 0o45) + chr(1705 - 1656) + '\x30' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(184 - 134) + chr(1064 - 1015) + chr(0b1101 + 0o45), 34310 - 34302), ehT0Px3KOsy9(chr(48) + chr(7520 - 7409) + chr(0b11111 + 0o22) + chr(54) + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b0 + 0o63) + chr(0b110 + 0o52) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\063' + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\x35' + chr(0b110101), 65363 - 65355), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(49) + '\062' + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(1285 - 1174) + chr(1777 - 1728) + chr(0b110111) + chr(0b11001 + 0o34), 43687 - 43679), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11011 + 0o30) + '\x33' + chr(2886 - 2832), 0b1000), ehT0Px3KOsy9('\x30' + chr(293 - 182) + chr(50) + chr(0b1010 + 0o52) + chr(1496 - 1441), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + '\x32' + '\x34' + chr(54), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(277 - 229) + chr(0b1010010 + 0o35) + chr(53) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(49) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(50) + chr(49) + '\062', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(53) + chr(0b110111), 25531 - 25523), ehT0Px3KOsy9(chr(2221 - 2173) + chr(0b1101111) + chr(50) + chr(0b10001 + 0o42), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(1869 - 1818) + '\065', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(506 - 456) + '\065' + '\064', 55681 - 55673), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\x32' + chr(328 - 279), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + '\x33' + '\x34' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b10011 + 0o44) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3878 - 3767) + chr(0b110011) + chr(0b110101) + chr(0b100111 + 0o17), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + '\x32' + chr(0b110000) + chr(0b110000 + 0o0), 0o10), ehT0Px3KOsy9(chr(179 - 131) + chr(0b101110 + 0o101) + '\062' + chr(410 - 360) + chr(51), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(53) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'}'), '\144' + '\x65' + chr(9749 - 9650) + chr(3276 - 3165) + chr(0b1010101 + 0o17) + chr(0b1100101))('\x75' + '\x74' + chr(102) + chr(1500 - 1455) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GQdW0xXZajvb(SBY5QklkRnQv, qxrVBjeryNEZ, kbTbGu1iaXC_, mtX6HPOlWiYu, isOYmsUx1jxa, *kJDRfRhcZHjS, **M8EIoTs2GJXE):
return xafqLlk3kkUe(oAHvnwj9EBu3, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xc4\xcb8m\xfb\xa8!64\xc3,\x9e\x17 \xef\x05'), chr(100) + chr(9390 - 9289) + chr(9583 - 9484) + '\157' + '\144' + '\x65')('\x75' + '\164' + '\x66' + chr(0b101101) + '\x38'))(SBY5QklkRnQv, qxrVBjeryNEZ, kbTbGu1iaXC_, mtX6HPOlWiYu, isOYmsUx1jxa, *kJDRfRhcZHjS, **M8EIoTs2GJXE)
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
_get_interp_method
|
def _get_interp_method(interp, sizes=()):
"""Get the interpolation method for resize functions.
The major purpose of this function is to wrap a random interp method selection
and a auto-estimation method.
Parameters
----------
interp : int
interpolation method for all resizing operations
Possible values:
0: Nearest Neighbors Interpolation.
1: Bilinear interpolation.
2: Area-based (resampling using pixel area relation). It may be a
preferred method for image decimation, as it gives moire-free
results. But when the image is zoomed, it is similar to the Nearest
Neighbors method. (used by default).
3: Bicubic interpolation over 4x4 pixel neighborhood.
4: Lanczos interpolation over 8x8 pixel neighborhood.
9: Cubic for enlarge, area for shrink, bilinear for others
10: Random select from interpolation method metioned above.
Note:
When shrinking an image, it will generally look best with AREA-based
interpolation, whereas, when enlarging an image, it will generally look best
with Bicubic (slow) or Bilinear (faster but still looks OK).
More details can be found in the documentation of OpenCV, please refer to
http://docs.opencv.org/master/da/d54/group__imgproc__transform.html.
sizes : tuple of int
(old_height, old_width, new_height, new_width), if None provided, auto(9)
will return Area(2) anyway.
Returns
-------
int
interp method from 0 to 4
"""
if interp == 9:
if sizes:
assert len(sizes) == 4
oh, ow, nh, nw = sizes
if nh > oh and nw > ow:
return 2
elif nh < oh and nw < ow:
return 3
else:
return 1
else:
return 2
if interp == 10:
return random.randint(0, 4)
if interp not in (0, 1, 2, 3, 4):
raise ValueError('Unknown interp method %d' % interp)
return interp
|
python
|
def _get_interp_method(interp, sizes=()):
"""Get the interpolation method for resize functions.
The major purpose of this function is to wrap a random interp method selection
and a auto-estimation method.
Parameters
----------
interp : int
interpolation method for all resizing operations
Possible values:
0: Nearest Neighbors Interpolation.
1: Bilinear interpolation.
2: Area-based (resampling using pixel area relation). It may be a
preferred method for image decimation, as it gives moire-free
results. But when the image is zoomed, it is similar to the Nearest
Neighbors method. (used by default).
3: Bicubic interpolation over 4x4 pixel neighborhood.
4: Lanczos interpolation over 8x8 pixel neighborhood.
9: Cubic for enlarge, area for shrink, bilinear for others
10: Random select from interpolation method metioned above.
Note:
When shrinking an image, it will generally look best with AREA-based
interpolation, whereas, when enlarging an image, it will generally look best
with Bicubic (slow) or Bilinear (faster but still looks OK).
More details can be found in the documentation of OpenCV, please refer to
http://docs.opencv.org/master/da/d54/group__imgproc__transform.html.
sizes : tuple of int
(old_height, old_width, new_height, new_width), if None provided, auto(9)
will return Area(2) anyway.
Returns
-------
int
interp method from 0 to 4
"""
if interp == 9:
if sizes:
assert len(sizes) == 4
oh, ow, nh, nw = sizes
if nh > oh and nw > ow:
return 2
elif nh < oh and nw < ow:
return 3
else:
return 1
else:
return 2
if interp == 10:
return random.randint(0, 4)
if interp not in (0, 1, 2, 3, 4):
raise ValueError('Unknown interp method %d' % interp)
return interp
|
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] |
Get the interpolation method for resize functions.
The major purpose of this function is to wrap a random interp method selection
and a auto-estimation method.
Parameters
----------
interp : int
interpolation method for all resizing operations
Possible values:
0: Nearest Neighbors Interpolation.
1: Bilinear interpolation.
2: Area-based (resampling using pixel area relation). It may be a
preferred method for image decimation, as it gives moire-free
results. But when the image is zoomed, it is similar to the Nearest
Neighbors method. (used by default).
3: Bicubic interpolation over 4x4 pixel neighborhood.
4: Lanczos interpolation over 8x8 pixel neighborhood.
9: Cubic for enlarge, area for shrink, bilinear for others
10: Random select from interpolation method metioned above.
Note:
When shrinking an image, it will generally look best with AREA-based
interpolation, whereas, when enlarging an image, it will generally look best
with Bicubic (slow) or Bilinear (faster but still looks OK).
More details can be found in the documentation of OpenCV, please refer to
http://docs.opencv.org/master/da/d54/group__imgproc__transform.html.
sizes : tuple of int
(old_height, old_width, new_height, new_width), if None provided, auto(9)
will return Area(2) anyway.
Returns
-------
int
interp method from 0 to 4
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L289-L341
|
train
|
Get the interpolation method for resizing a single 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(136 - 88) + chr(111) + chr(1293 - 1244) + chr(55) + chr(0b11000 + 0o34), 17660 - 17652), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(2247 - 2195) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x30' + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010), 937 - 929), ehT0Px3KOsy9('\060' + chr(7051 - 6940) + chr(398 - 344) + chr(2108 - 2058), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b110010) + chr(0b1000 + 0o54), 40582 - 40574), ehT0Px3KOsy9(chr(702 - 654) + chr(0b1101111) + '\062' + chr(1494 - 1446) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(1638 - 1527) + chr(50) + chr(50) + chr(682 - 631), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + '\x31' + chr(225 - 175) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(53) + chr(1081 - 1028), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(0b110000 + 0o2) + '\063' + '\061', 34486 - 34478), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b100011 + 0o23) + chr(1851 - 1801), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(7394 - 7283) + chr(51) + chr(526 - 476) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(11485 - 11374) + '\061' + chr(0b110101) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b1100 + 0o51) + chr(0b11 + 0o62), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b100 + 0o61) + chr(2176 - 2125), 56050 - 56042), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100111 + 0o16) + chr(0b110110), 62380 - 62372), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(296 - 185) + chr(0b110011) + '\x34' + '\x35', 4943 - 4935), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(181 - 131) + chr(833 - 781) + chr(0b101 + 0o57), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4216 - 4105) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(49) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(49) + chr(55), 28747 - 28739), ehT0Px3KOsy9(chr(766 - 718) + '\157' + '\063' + chr(0b110000) + '\x35', 0b1000), ehT0Px3KOsy9(chr(1885 - 1837) + '\157' + '\x31' + chr(1517 - 1462) + chr(1840 - 1787), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1119 - 1068) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b10101 + 0o36) + chr(2056 - 2001), 43451 - 43443), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\x37' + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(2701 - 2646) + chr(0b100 + 0o61), 0o10), ehT0Px3KOsy9(chr(529 - 481) + '\157' + chr(0b110110) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + '\x32' + chr(53) + chr(0b101001 + 0o11), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\066' + chr(52), 62426 - 62418), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101010 + 0o11) + '\066' + chr(1845 - 1797), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(52) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(713 - 664) + chr(0b110101) + chr(55), 14265 - 14257), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b10010 + 0o43) + chr(0b11 + 0o57), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b110110) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1528 - 1479) + chr(54) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(12298 - 12187) + chr(2195 - 2146) + chr(1870 - 1816) + chr(0b100 + 0o61), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1262 - 1212) + chr(0b110010) + chr(1543 - 1488), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11 + 0o154) + '\x33' + chr(2187 - 2137) + chr(52), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + '\065' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'R'), chr(100) + chr(101) + '\x63' + chr(0b1000110 + 0o51) + chr(10000 - 9900) + chr(0b110010 + 0o63))('\165' + '\164' + chr(9249 - 9147) + chr(45) + chr(0b11100 + 0o34)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mE63ILpQHRzu(qXK51mMOZ2rb, Q55tUpoH0W5L=()):
if qXK51mMOZ2rb == ehT0Px3KOsy9('\x30' + '\x6f' + chr(750 - 701) + '\x31', 0o10):
if Q55tUpoH0W5L:
assert c2A0yzQpDQB3(Q55tUpoH0W5L) == ehT0Px3KOsy9(chr(82 - 34) + chr(11155 - 11044) + '\064', 8)
(v666ArTERp8I, FaoBTS2f9aDv, UNfs6sXZbX63, ifPd51N_NTzj) = Q55tUpoH0W5L
if UNfs6sXZbX63 > v666ArTERp8I and ifPd51N_NTzj > FaoBTS2f9aDv:
return ehT0Px3KOsy9(chr(1698 - 1650) + chr(111) + chr(0b100110 + 0o14), 8)
elif UNfs6sXZbX63 < v666ArTERp8I and ifPd51N_NTzj < FaoBTS2f9aDv:
return ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\063', 3586 - 3578)
else:
return ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1800 - 1751), 12704 - 12696)
else:
return ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010), 8)
if qXK51mMOZ2rb == ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101110 + 0o3) + chr(0b11111 + 0o23), 0b1000):
return xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b':\xb8$rB\xdb\xbc\xdb\x08\x1f\xd7\xb6'), '\144' + chr(0b100 + 0o141) + chr(0b1100011) + '\x6f' + chr(100) + chr(0b10101 + 0o120))(chr(0b1110101) + chr(10460 - 10344) + chr(0b11 + 0o143) + '\x2d' + '\x38'))(ehT0Px3KOsy9(chr(48) + chr(7524 - 7413) + chr(0b10 + 0o56), 4590 - 4582), ehT0Px3KOsy9(chr(2236 - 2188) + '\x6f' + '\x34', 8))
if qXK51mMOZ2rb not in (ehT0Px3KOsy9('\060' + chr(111) + chr(0b111 + 0o51), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10001 + 0o40), 8), ehT0Px3KOsy9(chr(181 - 133) + '\x6f' + '\062', 8), ehT0Px3KOsy9('\x30' + chr(7886 - 7775) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100), 8)):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b')\x8e-l]\xe3\xea\xb38\x03\xed\x97\xa3\x1a\x8d\x06K\x91\xcck\xa8\xef\xe0\x19'), chr(3562 - 3462) + chr(101) + '\143' + chr(9097 - 8986) + chr(0b101110 + 0o66) + chr(9685 - 9584))(chr(6557 - 6440) + chr(116) + chr(102) + chr(0b11000 + 0o25) + chr(0b10 + 0o66)) % qXK51mMOZ2rb)
return qXK51mMOZ2rb
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
resize_short
|
def resize_short(src, size, interp=2):
"""Resizes shorter edge to size.
.. note:: `resize_short` uses OpenCV (not the CV2 Python library).
MXNet must have been built with OpenCV for `resize_short` to work.
Resizes the original image by setting the shorter edge to size
and setting the longer edge accordingly.
Resizing function is called from OpenCV.
Parameters
----------
src : NDArray
The original image.
size : int
The length to be set for the shorter edge.
interp : int, optional, default=2
Interpolation method used for resizing the image.
Possible values:
0: Nearest Neighbors Interpolation.
1: Bilinear interpolation.
2: Area-based (resampling using pixel area relation). It may be a
preferred method for image decimation, as it gives moire-free
results. But when the image is zoomed, it is similar to the Nearest
Neighbors method. (used by default).
3: Bicubic interpolation over 4x4 pixel neighborhood.
4: Lanczos interpolation over 8x8 pixel neighborhood.
9: Cubic for enlarge, area for shrink, bilinear for others
10: Random select from interpolation method metioned above.
Note:
When shrinking an image, it will generally look best with AREA-based
interpolation, whereas, when enlarging an image, it will generally look best
with Bicubic (slow) or Bilinear (faster but still looks OK).
More details can be found in the documentation of OpenCV, please refer to
http://docs.opencv.org/master/da/d54/group__imgproc__transform.html.
Returns
-------
NDArray
An 'NDArray' containing the resized image.
Example
-------
>>> with open("flower.jpeg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image)
>>> image
<NDArray 2321x3482x3 @cpu(0)>
>>> size = 640
>>> new_image = mx.img.resize_short(image, size)
>>> new_image
<NDArray 2321x3482x3 @cpu(0)>
"""
h, w, _ = src.shape
if h > w:
new_h, new_w = size * h // w, size
else:
new_h, new_w = size, size * w // h
return imresize(src, new_w, new_h, interp=_get_interp_method(interp, (h, w, new_h, new_w)))
|
python
|
def resize_short(src, size, interp=2):
"""Resizes shorter edge to size.
.. note:: `resize_short` uses OpenCV (not the CV2 Python library).
MXNet must have been built with OpenCV for `resize_short` to work.
Resizes the original image by setting the shorter edge to size
and setting the longer edge accordingly.
Resizing function is called from OpenCV.
Parameters
----------
src : NDArray
The original image.
size : int
The length to be set for the shorter edge.
interp : int, optional, default=2
Interpolation method used for resizing the image.
Possible values:
0: Nearest Neighbors Interpolation.
1: Bilinear interpolation.
2: Area-based (resampling using pixel area relation). It may be a
preferred method for image decimation, as it gives moire-free
results. But when the image is zoomed, it is similar to the Nearest
Neighbors method. (used by default).
3: Bicubic interpolation over 4x4 pixel neighborhood.
4: Lanczos interpolation over 8x8 pixel neighborhood.
9: Cubic for enlarge, area for shrink, bilinear for others
10: Random select from interpolation method metioned above.
Note:
When shrinking an image, it will generally look best with AREA-based
interpolation, whereas, when enlarging an image, it will generally look best
with Bicubic (slow) or Bilinear (faster but still looks OK).
More details can be found in the documentation of OpenCV, please refer to
http://docs.opencv.org/master/da/d54/group__imgproc__transform.html.
Returns
-------
NDArray
An 'NDArray' containing the resized image.
Example
-------
>>> with open("flower.jpeg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image)
>>> image
<NDArray 2321x3482x3 @cpu(0)>
>>> size = 640
>>> new_image = mx.img.resize_short(image, size)
>>> new_image
<NDArray 2321x3482x3 @cpu(0)>
"""
h, w, _ = src.shape
if h > w:
new_h, new_w = size * h // w, size
else:
new_h, new_w = size, size * w // h
return imresize(src, new_w, new_h, interp=_get_interp_method(interp, (h, w, new_h, new_w)))
|
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] |
Resizes shorter edge to size.
.. note:: `resize_short` uses OpenCV (not the CV2 Python library).
MXNet must have been built with OpenCV for `resize_short` to work.
Resizes the original image by setting the shorter edge to size
and setting the longer edge accordingly.
Resizing function is called from OpenCV.
Parameters
----------
src : NDArray
The original image.
size : int
The length to be set for the shorter edge.
interp : int, optional, default=2
Interpolation method used for resizing the image.
Possible values:
0: Nearest Neighbors Interpolation.
1: Bilinear interpolation.
2: Area-based (resampling using pixel area relation). It may be a
preferred method for image decimation, as it gives moire-free
results. But when the image is zoomed, it is similar to the Nearest
Neighbors method. (used by default).
3: Bicubic interpolation over 4x4 pixel neighborhood.
4: Lanczos interpolation over 8x8 pixel neighborhood.
9: Cubic for enlarge, area for shrink, bilinear for others
10: Random select from interpolation method metioned above.
Note:
When shrinking an image, it will generally look best with AREA-based
interpolation, whereas, when enlarging an image, it will generally look best
with Bicubic (slow) or Bilinear (faster but still looks OK).
More details can be found in the documentation of OpenCV, please refer to
http://docs.opencv.org/master/da/d54/group__imgproc__transform.html.
Returns
-------
NDArray
An 'NDArray' containing the resized image.
Example
-------
>>> with open("flower.jpeg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.img.imdecode(str_image)
>>> image
<NDArray 2321x3482x3 @cpu(0)>
>>> size = 640
>>> new_image = mx.img.resize_short(image, size)
>>> new_image
<NDArray 2321x3482x3 @cpu(0)>
|
[
"Resizes",
"shorter",
"edge",
"to",
"size",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L344-L403
|
train
|
Resizes the shorter edge to size.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(90 - 42) + '\x6f' + chr(51) + chr(1300 - 1249) + chr(526 - 476), 32769 - 32761), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\x36' + '\060', 54804 - 54796), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + chr(53) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(2003 - 1955) + chr(0b1101111) + chr(50) + chr(0b1100 + 0o52) + chr(1690 - 1642), 0o10), ehT0Px3KOsy9(chr(1099 - 1051) + chr(929 - 818) + chr(0b100000 + 0o22) + chr(1019 - 969) + chr(1795 - 1747), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\060' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(0b100 + 0o63), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + chr(0b110010) + chr(1679 - 1631) + chr(0b10101 + 0o37), 63597 - 63589), ehT0Px3KOsy9('\060' + chr(5510 - 5399) + chr(0b110010) + chr(54), 22911 - 22903), ehT0Px3KOsy9('\060' + chr(4070 - 3959) + '\065' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(4851 - 4740) + chr(0b1 + 0o61) + chr(0b11100 + 0o26) + chr(0b11100 + 0o33), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\066' + '\061', 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(0b110010) + chr(913 - 859) + '\x30', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11 + 0o64) + chr(52), 17116 - 17108), ehT0Px3KOsy9(chr(1541 - 1493) + chr(0b1101111) + chr(2212 - 2157) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(7866 - 7755) + chr(51) + chr(1388 - 1339) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + chr(0b110001 + 0o2) + chr(0b110000) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\060' + chr(0b11100 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(890 - 842) + '\x6f' + chr(0b110011) + chr(55) + chr(2462 - 2411), 25808 - 25800), ehT0Px3KOsy9(chr(673 - 625) + chr(0b1000110 + 0o51) + '\063' + '\066' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11110 + 0o23) + chr(62 - 10) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(8085 - 7974) + chr(1174 - 1124) + chr(48) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110110 + 0o71) + chr(0b101101 + 0o4) + chr(0b11000 + 0o32) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(0b110010) + chr(0b110110) + chr(0b1011 + 0o50), 43996 - 43988), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\061' + chr(2267 - 2213), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\062' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6856 - 6745) + chr(0b110001) + chr(275 - 227) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(2612 - 2501) + chr(0b11101 + 0o26) + chr(0b0 + 0o66) + chr(0b11101 + 0o26), 8), ehT0Px3KOsy9('\060' + '\157' + chr(2221 - 2171) + chr(195 - 147) + chr(536 - 485), 8), ehT0Px3KOsy9(chr(1561 - 1513) + chr(5188 - 5077) + chr(526 - 477) + '\060', 6775 - 6767), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(12214 - 12103) + chr(0b1011 + 0o50) + chr(49) + chr(48), 8), ehT0Px3KOsy9(chr(1096 - 1048) + '\x6f' + chr(2099 - 2046) + chr(0b110111), 3020 - 3012), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b11101 + 0o23) + chr(376 - 325), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(1531 - 1479) + chr(0b100000 + 0o23), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(979 - 929), ord("\x08")), ehT0Px3KOsy9(chr(1989 - 1941) + chr(0b1011110 + 0o21) + '\061' + chr(48) + chr(0b10001 + 0o41), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9563 - 9452) + chr(49) + '\064' + '\x33', 8), ehT0Px3KOsy9(chr(1504 - 1456) + '\157' + '\x33' + '\x37' + chr(324 - 274), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(0b100010 + 0o20) + chr(0b110010), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1110 + 0o47) + chr(0b1001 + 0o47), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4'), chr(0b110101 + 0o57) + chr(1212 - 1111) + chr(3081 - 2982) + '\x6f' + chr(3444 - 3344) + chr(101))(chr(9436 - 9319) + chr(116) + chr(102) + chr(0b101 + 0o50) + chr(1073 - 1017)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kOm49_BWEZG2(SBY5QklkRnQv, NLcc3BCJnQka, qXK51mMOZ2rb=ehT0Px3KOsy9('\060' + chr(5820 - 5709) + '\062', 15988 - 15980)):
(sz4HVsFVF8nL, AOfzRywRzEXp, VNGQdHSFPrso) = SBY5QklkRnQv.nauYfLglTpcb
if sz4HVsFVF8nL > AOfzRywRzEXp:
(EURzVsa4r7BU, QUHZpLOBId8l) = (NLcc3BCJnQka * sz4HVsFVF8nL // AOfzRywRzEXp, NLcc3BCJnQka)
else:
(EURzVsa4r7BU, QUHZpLOBId8l) = (NLcc3BCJnQka, NLcc3BCJnQka * AOfzRywRzEXp // sz4HVsFVF8nL)
return XI8dSiwB88HV(SBY5QklkRnQv, QUHZpLOBId8l, EURzVsa4r7BU, interp=mE63ILpQHRzu(qXK51mMOZ2rb, (sz4HVsFVF8nL, AOfzRywRzEXp, EURzVsa4r7BU, QUHZpLOBId8l)))
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
fixed_crop
|
def fixed_crop(src, x0, y0, w, h, size=None, interp=2):
"""Crop src at fixed location, and (optionally) resize it to size.
Parameters
----------
src : NDArray
Input image
x0 : int
Left boundary of the cropping area
y0 : int
Top boundary of the cropping area
w : int
Width of the cropping area
h : int
Height of the cropping area
size : tuple of (w, h)
Optional, resize to new size after cropping
interp : int, optional, default=2
Interpolation method. See resize_short for details.
Returns
-------
NDArray
An `NDArray` containing the cropped image.
"""
out = nd.slice(src, begin=(y0, x0, 0), end=(y0 + h, x0 + w, int(src.shape[2])))
if size is not None and (w, h) != size:
sizes = (h, w, size[1], size[0])
out = imresize(out, *size, interp=_get_interp_method(interp, sizes))
return out
|
python
|
def fixed_crop(src, x0, y0, w, h, size=None, interp=2):
"""Crop src at fixed location, and (optionally) resize it to size.
Parameters
----------
src : NDArray
Input image
x0 : int
Left boundary of the cropping area
y0 : int
Top boundary of the cropping area
w : int
Width of the cropping area
h : int
Height of the cropping area
size : tuple of (w, h)
Optional, resize to new size after cropping
interp : int, optional, default=2
Interpolation method. See resize_short for details.
Returns
-------
NDArray
An `NDArray` containing the cropped image.
"""
out = nd.slice(src, begin=(y0, x0, 0), end=(y0 + h, x0 + w, int(src.shape[2])))
if size is not None and (w, h) != size:
sizes = (h, w, size[1], size[0])
out = imresize(out, *size, interp=_get_interp_method(interp, sizes))
return out
|
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] |
Crop src at fixed location, and (optionally) resize it to size.
Parameters
----------
src : NDArray
Input image
x0 : int
Left boundary of the cropping area
y0 : int
Top boundary of the cropping area
w : int
Width of the cropping area
h : int
Height of the cropping area
size : tuple of (w, h)
Optional, resize to new size after cropping
interp : int, optional, default=2
Interpolation method. See resize_short for details.
Returns
-------
NDArray
An `NDArray` containing the cropped image.
|
[
"Crop",
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"(",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L406-L435
|
train
|
Crop src at fixed location and resize it to size.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\x34' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1101 + 0o46) + chr(0b110001) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1869 - 1758) + chr(51) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\x31' + '\x37', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\x37' + chr(549 - 494), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(2406 - 2353) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\x32' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(385 - 337) + chr(0b1101111) + '\063' + '\066', 60106 - 60098), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1270 - 1219) + chr(2460 - 2409) + chr(1027 - 978), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\060' + chr(0b110010), 13378 - 13370), ehT0Px3KOsy9(chr(48) + chr(9954 - 9843) + '\x31' + chr(0b110001) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001), 47758 - 47750), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + '\061' + '\x37' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4067 - 3956) + chr(0b1010 + 0o50) + '\x36' + chr(1456 - 1401), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b110011) + chr(0b110010), 39911 - 39903), ehT0Px3KOsy9(chr(946 - 898) + '\157' + '\x32' + '\x33' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1969 - 1919) + chr(0b10 + 0o60) + chr(0b10010 + 0o42), 0b1000), ehT0Px3KOsy9('\060' + chr(1941 - 1830) + '\064' + chr(1384 - 1332), 0b1000), ehT0Px3KOsy9('\060' + chr(1460 - 1349) + chr(0b110011) + chr(51) + chr(52), 47181 - 47173), ehT0Px3KOsy9(chr(1073 - 1025) + '\x6f' + '\061' + chr(0b110011) + chr(0b100111 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(1806 - 1758) + '\157' + chr(2356 - 2305) + chr(52) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(720 - 669) + chr(765 - 713), 62815 - 62807), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(2713 - 2659) + chr(0b11 + 0o57), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110000) + chr(2221 - 2172), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4259 - 4148) + '\062' + '\062' + '\060', 0b1000), ehT0Px3KOsy9(chr(65 - 17) + chr(0b1110 + 0o141) + chr(574 - 525) + chr(0b110101) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(1486 - 1375) + chr(0b1 + 0o60) + chr(0b1000 + 0o57) + chr(0b110111), 8), ehT0Px3KOsy9(chr(1675 - 1627) + '\157' + chr(0b101 + 0o55) + '\062' + chr(0b101011 + 0o10), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(1086 - 1035) + '\067', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b110100) + '\x35', 57773 - 57765), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(5960 - 5849) + chr(49) + '\063', 9907 - 9899), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(6959 - 6848) + '\063' + chr(51) + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + '\x32' + '\x35' + '\x31', 33600 - 33592), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(51) + chr(0b10 + 0o62), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110011) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000011 + 0o54) + chr(0b10101 + 0o34) + '\x32' + chr(55), 23879 - 23871), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + chr(7141 - 7030) + '\x32' + chr(0b11110 + 0o23) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b110010) + chr(50), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\065' + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f'), '\x64' + chr(101) + chr(4262 - 4163) + '\x6f' + '\x64' + chr(6762 - 6661))(chr(0b1110101) + '\x74' + chr(5223 - 5121) + chr(971 - 926) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def P2JjN8tglIvk(SBY5QklkRnQv, MTHwGDA8i59t, TTufnT3oefIY, AOfzRywRzEXp, sz4HVsFVF8nL, NLcc3BCJnQka=None, qXK51mMOZ2rb=ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32', 0b1000)):
UkrMp_I0RDmo = Vy_CFRcuYrTj.slice(SBY5QklkRnQv, begin=(TTufnT3oefIY, MTHwGDA8i59t, ehT0Px3KOsy9(chr(1553 - 1505) + chr(0b1101111) + chr(0b100001 + 0o17), 0b1000)), end=(TTufnT3oefIY + sz4HVsFVF8nL, MTHwGDA8i59t + AOfzRywRzEXp, ehT0Px3KOsy9(SBY5QklkRnQv.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010), 8)])))
if NLcc3BCJnQka is not None and (AOfzRywRzEXp, sz4HVsFVF8nL) != NLcc3BCJnQka:
Q55tUpoH0W5L = (sz4HVsFVF8nL, AOfzRywRzEXp, NLcc3BCJnQka[ehT0Px3KOsy9(chr(0b110000) + chr(0b1010010 + 0o35) + chr(49), 8)], NLcc3BCJnQka[ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(1329 - 1281), 8)])
UkrMp_I0RDmo = XI8dSiwB88HV(UkrMp_I0RDmo, *NLcc3BCJnQka, interp=mE63ILpQHRzu(qXK51mMOZ2rb, Q55tUpoH0W5L))
return UkrMp_I0RDmo
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
center_crop
|
def center_crop(src, size, interp=2):
"""Crops the image `src` to the given `size` by trimming on all four
sides and preserving the center of the image. Upsamples if `src` is smaller
than `size`.
.. note:: This requires MXNet to be compiled with USE_OPENCV.
Parameters
----------
src : NDArray
Binary source image data.
size : list or tuple of int
The desired output image size.
interp : int, optional, default=2
Interpolation method. See resize_short for details.
Returns
-------
NDArray
The cropped image.
Tuple
(x, y, width, height) where x, y are the positions of the crop in the
original image and width, height the dimensions of the crop.
Example
-------
>>> with open("flower.jpg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.image.imdecode(str_image)
>>> image
<NDArray 2321x3482x3 @cpu(0)>
>>> cropped_image, (x, y, width, height) = mx.image.center_crop(image, (1000, 500))
>>> cropped_image
<NDArray 500x1000x3 @cpu(0)>
>>> x, y, width, height
(1241, 910, 1000, 500)
"""
h, w, _ = src.shape
new_w, new_h = scale_down((w, h), size)
x0 = int((w - new_w) / 2)
y0 = int((h - new_h) / 2)
out = fixed_crop(src, x0, y0, new_w, new_h, size, interp)
return out, (x0, y0, new_w, new_h)
|
python
|
def center_crop(src, size, interp=2):
"""Crops the image `src` to the given `size` by trimming on all four
sides and preserving the center of the image. Upsamples if `src` is smaller
than `size`.
.. note:: This requires MXNet to be compiled with USE_OPENCV.
Parameters
----------
src : NDArray
Binary source image data.
size : list or tuple of int
The desired output image size.
interp : int, optional, default=2
Interpolation method. See resize_short for details.
Returns
-------
NDArray
The cropped image.
Tuple
(x, y, width, height) where x, y are the positions of the crop in the
original image and width, height the dimensions of the crop.
Example
-------
>>> with open("flower.jpg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.image.imdecode(str_image)
>>> image
<NDArray 2321x3482x3 @cpu(0)>
>>> cropped_image, (x, y, width, height) = mx.image.center_crop(image, (1000, 500))
>>> cropped_image
<NDArray 500x1000x3 @cpu(0)>
>>> x, y, width, height
(1241, 910, 1000, 500)
"""
h, w, _ = src.shape
new_w, new_h = scale_down((w, h), size)
x0 = int((w - new_w) / 2)
y0 = int((h - new_h) / 2)
out = fixed_crop(src, x0, y0, new_w, new_h, size, interp)
return out, (x0, y0, new_w, new_h)
|
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] |
Crops the image `src` to the given `size` by trimming on all four
sides and preserving the center of the image. Upsamples if `src` is smaller
than `size`.
.. note:: This requires MXNet to be compiled with USE_OPENCV.
Parameters
----------
src : NDArray
Binary source image data.
size : list or tuple of int
The desired output image size.
interp : int, optional, default=2
Interpolation method. See resize_short for details.
Returns
-------
NDArray
The cropped image.
Tuple
(x, y, width, height) where x, y are the positions of the crop in the
original image and width, height the dimensions of the crop.
Example
-------
>>> with open("flower.jpg", 'rb') as fp:
... str_image = fp.read()
...
>>> image = mx.image.imdecode(str_image)
>>> image
<NDArray 2321x3482x3 @cpu(0)>
>>> cropped_image, (x, y, width, height) = mx.image.center_crop(image, (1000, 500))
>>> cropped_image
<NDArray 500x1000x3 @cpu(0)>
>>> x, y, width, height
(1241, 910, 1000, 500)
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L477-L523
|
train
|
Crops the image src to the given size and resizes it to the center of the 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(48) + chr(111) + chr(0b110011) + chr(2400 - 2347) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + '\062' + chr(52) + '\x31', 52153 - 52145), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\x34' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1110 + 0o44) + '\x32' + chr(0b1001 + 0o47), 0o10), ehT0Px3KOsy9(chr(207 - 159) + chr(0b1101111) + chr(0b110001) + chr(0b101011 + 0o5) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1000 + 0o52) + chr(0b100111 + 0o12) + '\065', 51263 - 51255), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\065' + chr(0b10011 + 0o37), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11111 + 0o22) + chr(0b110001) + '\063', 4502 - 4494), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(0b10010 + 0o37) + chr(0b110000) + chr(617 - 568), 0o10), ehT0Px3KOsy9(chr(2048 - 2000) + chr(0b11001 + 0o126) + '\x30', 0o10), ehT0Px3KOsy9(chr(1765 - 1717) + '\x6f' + '\061' + chr(0b110011) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\x32' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x37' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001010 + 0o45) + '\x35' + chr(0b1100 + 0o53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + chr(52) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + chr(51) + '\061' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + '\x31' + '\065' + chr(0b1 + 0o66), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(1469 - 1418) + chr(0b101100 + 0o11) + '\x32', 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b1001 + 0o53) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7788 - 7677) + '\x33' + chr(0b10 + 0o61) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(388 - 337) + chr(0b111 + 0o54) + '\061', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010 + 0o0) + '\x33' + '\065', 58759 - 58751), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b100111 + 0o15) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1026 - 978) + chr(0b1100111 + 0o10) + '\063' + chr(0b110011) + chr(49), 8), ehT0Px3KOsy9(chr(2201 - 2153) + chr(111 - 0) + chr(2464 - 2412) + chr(0b1111 + 0o45), 448 - 440), ehT0Px3KOsy9(chr(2076 - 2028) + chr(8893 - 8782) + chr(0b110010) + chr(0b110111) + chr(0b110010 + 0o3), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(2147 - 2098) + '\063' + '\x36', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(531 - 480) + chr(251 - 203), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(0b110001) + chr(0b110101) + chr(0b11110 + 0o27), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\x32' + chr(603 - 551), 8), ehT0Px3KOsy9(chr(858 - 810) + chr(0b11111 + 0o120) + chr(1967 - 1918) + '\x33' + chr(0b110000), 19939 - 19931), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101011 + 0o11) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110010) + chr(1075 - 1027), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2730 - 2619) + chr(0b100111 + 0o12) + chr(0b110010) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(229 - 177) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011010 + 0o25) + chr(53) + chr(2686 - 2633), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1172 - 1122) + chr(53) + chr(2068 - 2018), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + '\061' + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1140 - 1089) + chr(0b101101 + 0o7) + chr(55), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5'), chr(0b1010011 + 0o21) + '\145' + chr(99) + '\x6f' + chr(9611 - 9511) + '\x65')('\165' + '\x74' + '\146' + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZiZKLPEK4Ou6(SBY5QklkRnQv, NLcc3BCJnQka, qXK51mMOZ2rb=ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(0b110010), 0o10)):
(sz4HVsFVF8nL, AOfzRywRzEXp, VNGQdHSFPrso) = SBY5QklkRnQv.nauYfLglTpcb
(QUHZpLOBId8l, EURzVsa4r7BU) = fBeIyxDtErxW((AOfzRywRzEXp, sz4HVsFVF8nL), NLcc3BCJnQka)
MTHwGDA8i59t = ehT0Px3KOsy9((AOfzRywRzEXp - QUHZpLOBId8l) / ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b111111 + 0o60) + chr(1422 - 1372), 8))
TTufnT3oefIY = ehT0Px3KOsy9((sz4HVsFVF8nL - EURzVsa4r7BU) / ehT0Px3KOsy9('\x30' + chr(0b1101111 + 0o0) + chr(0b110010), 8))
UkrMp_I0RDmo = P2JjN8tglIvk(SBY5QklkRnQv, MTHwGDA8i59t, TTufnT3oefIY, QUHZpLOBId8l, EURzVsa4r7BU, NLcc3BCJnQka, qXK51mMOZ2rb)
return (UkrMp_I0RDmo, (MTHwGDA8i59t, TTufnT3oefIY, QUHZpLOBId8l, EURzVsa4r7BU))
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
color_normalize
|
def color_normalize(src, mean, std=None):
"""Normalize src with mean and std.
Parameters
----------
src : NDArray
Input image
mean : NDArray
RGB mean to be subtracted
std : NDArray
RGB standard deviation to be divided
Returns
-------
NDArray
An `NDArray` containing the normalized image.
"""
if mean is not None:
src -= mean
if std is not None:
src /= std
return src
|
python
|
def color_normalize(src, mean, std=None):
"""Normalize src with mean and std.
Parameters
----------
src : NDArray
Input image
mean : NDArray
RGB mean to be subtracted
std : NDArray
RGB standard deviation to be divided
Returns
-------
NDArray
An `NDArray` containing the normalized image.
"""
if mean is not None:
src -= mean
if std is not None:
src /= std
return src
|
[
"def",
"color_normalize",
"(",
"src",
",",
"mean",
",",
"std",
"=",
"None",
")",
":",
"if",
"mean",
"is",
"not",
"None",
":",
"src",
"-=",
"mean",
"if",
"std",
"is",
"not",
"None",
":",
"src",
"/=",
"std",
"return",
"src"
] |
Normalize src with mean and std.
Parameters
----------
src : NDArray
Input image
mean : NDArray
RGB mean to be subtracted
std : NDArray
RGB standard deviation to be divided
Returns
-------
NDArray
An `NDArray` containing the normalized image.
|
[
"Normalize",
"src",
"with",
"mean",
"and",
"std",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L526-L547
|
train
|
Normalize src with mean and std.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1902 - 1854) + chr(0b1101111) + chr(0b110011) + chr(1864 - 1809) + chr(0b11 + 0o55), 26365 - 26357), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110 + 0o55) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\067' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1277 - 1229) + chr(0b1101111) + chr(0b110011) + chr(0b100100 + 0o22) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5208 - 5097) + '\066' + chr(0b110000 + 0o1), 44518 - 44510), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b110010) + chr(0b110000) + chr(2975 - 2920), 0o10), ehT0Px3KOsy9('\060' + chr(0b11011 + 0o124) + chr(317 - 268) + chr(551 - 501), 30002 - 29994), ehT0Px3KOsy9(chr(1308 - 1260) + chr(542 - 431) + chr(0b11110 + 0o24) + chr(0b110110) + chr(55), 0b1000), ehT0Px3KOsy9(chr(975 - 927) + '\157' + '\067' + chr(0b110101 + 0o0), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10001 + 0o40) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(859 - 809) + chr(995 - 942) + chr(1587 - 1539), 0o10), ehT0Px3KOsy9(chr(147 - 99) + chr(5142 - 5031) + '\061' + '\065' + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(8218 - 8107) + '\x33' + chr(0b11110 + 0o31) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(1635 - 1581) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1074 - 1023) + '\066' + chr(166 - 112), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(1309 - 1260) + chr(0b11000 + 0o35) + chr(468 - 415), 0b1000), ehT0Px3KOsy9('\x30' + chr(10350 - 10239) + chr(0b110001) + '\x31' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b110010) + chr(0b10101 + 0o41) + chr(991 - 939), 21391 - 21383), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(2435 - 2384) + chr(0b110111), 45310 - 45302), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(6783 - 6672) + '\063' + chr(55) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(1740 - 1691) + '\062' + chr(1191 - 1138), 28184 - 28176), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101 + 0o55) + '\x30' + chr(1656 - 1607), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1846 - 1796) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(746 - 695) + chr(1023 - 969) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(267 - 212) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\061' + chr(0b1 + 0o62), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b110 + 0o151) + '\061' + chr(51) + chr(0b100010 + 0o20), 8510 - 8502), ehT0Px3KOsy9('\x30' + chr(111) + '\065' + '\065', 62463 - 62455), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100100 + 0o15) + '\x37' + chr(0b1010 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(2479 - 2429) + chr(0b110 + 0o61), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\067', 51913 - 51905), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100110 + 0o15) + chr(0b10010 + 0o45) + chr(48), 8), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(2204 - 2153) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\x31' + chr(0b110010), 31765 - 31757), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(1091 - 1042) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(9136 - 9025) + '\x32' + chr(2109 - 2060) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\x33' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b10100 + 0o133) + chr(0b110010) + chr(0b1101 + 0o45) + '\065', 56985 - 56977), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10 + 0o60) + '\061', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1001010 + 0o45) + '\x35' + chr(1725 - 1677), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6'), '\144' + chr(9173 - 9072) + '\143' + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mLfJe1NlImYu(SBY5QklkRnQv, aJhItC_Vawlw, o3E_VFExiNOk=None):
if aJhItC_Vawlw is not None:
SBY5QklkRnQv -= aJhItC_Vawlw
if o3E_VFExiNOk is not None:
SBY5QklkRnQv /= o3E_VFExiNOk
return SBY5QklkRnQv
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
random_size_crop
|
def random_size_crop(src, size, area, ratio, interp=2, **kwargs):
"""Randomly crop src with size. Randomize area and aspect ratio.
Parameters
----------
src : NDArray
Input image
size : tuple of (int, int)
Size of the crop formatted as (width, height).
area : float in (0, 1] or tuple of (float, float)
If tuple, minimum area and maximum area to be maintained after cropping
If float, minimum area to be maintained after cropping, maximum area is set to 1.0
ratio : tuple of (float, float)
Aspect ratio range as (min_aspect_ratio, max_aspect_ratio)
interp: int, optional, default=2
Interpolation method. See resize_short for details.
Returns
-------
NDArray
An `NDArray` containing the cropped image.
Tuple
A tuple (x, y, width, height) where (x, y) is top-left position of the crop in the
original image and (width, height) are the dimensions of the cropped image.
"""
h, w, _ = src.shape
src_area = h * w
if 'min_area' in kwargs:
warnings.warn('`min_area` is deprecated. Please use `area` instead.',
DeprecationWarning)
area = kwargs.pop('min_area')
assert not kwargs, "unexpected keyword arguments for `random_size_crop`."
if isinstance(area, numeric_types):
area = (area, 1.0)
for _ in range(10):
target_area = random.uniform(area[0], area[1]) * src_area
log_ratio = (np.log(ratio[0]), np.log(ratio[1]))
new_ratio = np.exp(random.uniform(*log_ratio))
new_w = int(round(np.sqrt(target_area * new_ratio)))
new_h = int(round(np.sqrt(target_area / new_ratio)))
if new_w <= w and new_h <= h:
x0 = random.randint(0, w - new_w)
y0 = random.randint(0, h - new_h)
out = fixed_crop(src, x0, y0, new_w, new_h, size, interp)
return out, (x0, y0, new_w, new_h)
# fall back to center_crop
return center_crop(src, size, interp)
|
python
|
def random_size_crop(src, size, area, ratio, interp=2, **kwargs):
"""Randomly crop src with size. Randomize area and aspect ratio.
Parameters
----------
src : NDArray
Input image
size : tuple of (int, int)
Size of the crop formatted as (width, height).
area : float in (0, 1] or tuple of (float, float)
If tuple, minimum area and maximum area to be maintained after cropping
If float, minimum area to be maintained after cropping, maximum area is set to 1.0
ratio : tuple of (float, float)
Aspect ratio range as (min_aspect_ratio, max_aspect_ratio)
interp: int, optional, default=2
Interpolation method. See resize_short for details.
Returns
-------
NDArray
An `NDArray` containing the cropped image.
Tuple
A tuple (x, y, width, height) where (x, y) is top-left position of the crop in the
original image and (width, height) are the dimensions of the cropped image.
"""
h, w, _ = src.shape
src_area = h * w
if 'min_area' in kwargs:
warnings.warn('`min_area` is deprecated. Please use `area` instead.',
DeprecationWarning)
area = kwargs.pop('min_area')
assert not kwargs, "unexpected keyword arguments for `random_size_crop`."
if isinstance(area, numeric_types):
area = (area, 1.0)
for _ in range(10):
target_area = random.uniform(area[0], area[1]) * src_area
log_ratio = (np.log(ratio[0]), np.log(ratio[1]))
new_ratio = np.exp(random.uniform(*log_ratio))
new_w = int(round(np.sqrt(target_area * new_ratio)))
new_h = int(round(np.sqrt(target_area / new_ratio)))
if new_w <= w and new_h <= h:
x0 = random.randint(0, w - new_w)
y0 = random.randint(0, h - new_h)
out = fixed_crop(src, x0, y0, new_w, new_h, size, interp)
return out, (x0, y0, new_w, new_h)
# fall back to center_crop
return center_crop(src, size, interp)
|
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] |
Randomly crop src with size. Randomize area and aspect ratio.
Parameters
----------
src : NDArray
Input image
size : tuple of (int, int)
Size of the crop formatted as (width, height).
area : float in (0, 1] or tuple of (float, float)
If tuple, minimum area and maximum area to be maintained after cropping
If float, minimum area to be maintained after cropping, maximum area is set to 1.0
ratio : tuple of (float, float)
Aspect ratio range as (min_aspect_ratio, max_aspect_ratio)
interp: int, optional, default=2
Interpolation method. See resize_short for details.
Returns
-------
NDArray
An `NDArray` containing the cropped image.
Tuple
A tuple (x, y, width, height) where (x, y) is top-left position of the crop in the
original image and (width, height) are the dimensions of the cropped image.
|
[
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"Randomize",
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"aspect",
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"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L550-L602
|
train
|
Randomly crop src with size area and aspect ratio.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(3719 - 3608) + '\x37' + chr(0b100111 + 0o20), 43801 - 43793), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(51) + '\067', 8195 - 8187), ehT0Px3KOsy9(chr(1463 - 1415) + '\x6f' + chr(365 - 315) + chr(0b110111) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(12191 - 12080) + '\x31' + chr(1654 - 1605) + '\x36', 0b1000), ehT0Px3KOsy9(chr(310 - 262) + chr(0b1101111) + '\063' + '\067' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b101 + 0o152) + '\061' + chr(0b11110 + 0o24) + chr(0b110110), 35835 - 35827), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1727 - 1678) + '\061' + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(51) + chr(2777 - 2722), 8), ehT0Px3KOsy9('\060' + chr(1329 - 1218) + chr(0b110011) + chr(160 - 108) + chr(51), 32043 - 32035), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10001 + 0o41) + chr(0b101111 + 0o6) + chr(579 - 528), ord("\x08")), ehT0Px3KOsy9(chr(576 - 528) + chr(0b1101111) + chr(0b110011) + chr(51) + chr(0b101101 + 0o5), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101 + 0o142) + chr(742 - 691) + chr(0b1001 + 0o54) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(0b11001 + 0o126) + '\061' + chr(2458 - 2406) + chr(227 - 173), 0o10), ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + chr(2066 - 2016) + '\060', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b101001 + 0o106) + chr(1851 - 1801) + '\067' + chr(0b11010 + 0o32), 8), ehT0Px3KOsy9(chr(1480 - 1432) + chr(0b111000 + 0o67) + chr(0b110010) + chr(48), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(2521 - 2470) + chr(0b110111) + chr(0b1101 + 0o47), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110101) + chr(0b110110), 11820 - 11812), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b100110 + 0o21) + chr(0b110100), 8), ehT0Px3KOsy9('\060' + chr(10637 - 10526) + chr(275 - 225) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(54) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1630 - 1582) + chr(0b111 + 0o150) + chr(51) + '\x35' + '\x33', 29771 - 29763), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(1228 - 1117) + chr(50) + '\067' + chr(0b10011 + 0o35), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b110101) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(9905 - 9794) + chr(237 - 188) + chr(0b1010 + 0o50) + chr(54), 8), ehT0Px3KOsy9(chr(103 - 55) + '\157' + '\x36' + chr(2567 - 2515), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b110110) + chr(0b110110), 17019 - 17011), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(292 - 243) + chr(0b100110 + 0o17) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b100110 + 0o15) + chr(0b1 + 0o66), 0o10), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + '\062' + chr(1596 - 1548) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11101 + 0o26) + '\062' + chr(1941 - 1889), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(51) + chr(0b110001 + 0o1) + chr(0b111 + 0o51), 62881 - 62873), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1685 - 1635) + chr(0b1001 + 0o50) + chr(0b1010 + 0o46), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\062' + chr(50), 0b1000), ehT0Px3KOsy9(chr(510 - 462) + chr(6255 - 6144) + '\064' + chr(0b110111), 63820 - 63812), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100101 + 0o14) + chr(0b110000) + chr(813 - 765), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10289 - 10178) + '\062' + chr(0b110010) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(1084 - 1029) + chr(202 - 153), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x11'), chr(100) + '\x65' + '\x63' + chr(1851 - 1740) + '\144' + '\145')(chr(0b1110101) + chr(8143 - 8027) + chr(102) + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FMEKjzZmI1Fy(SBY5QklkRnQv, NLcc3BCJnQka, WABECtcYvOwd, pyiPBPsXZj35, qXK51mMOZ2rb=ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + '\062', 0b1000), **M8EIoTs2GJXE):
(sz4HVsFVF8nL, AOfzRywRzEXp, VNGQdHSFPrso) = SBY5QklkRnQv.nauYfLglTpcb
YYSxpsLmmUUE = sz4HVsFVF8nL * AOfzRywRzEXp
if xafqLlk3kkUe(SXOLrMavuUCe(b'R\xb6\xd2\x11\x99$/\xbe'), '\x64' + chr(0b1001011 + 0o32) + chr(99) + chr(0b1011 + 0o144) + chr(0b1100100 + 0o0) + '\145')(chr(11730 - 11613) + chr(116) + '\146' + chr(45) + chr(0b111000)) in M8EIoTs2GJXE:
xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'Q\x9b\xf9 \xb6\x14+\xbd\xa5\xe5\x91w'), chr(0b1011110 + 0o6) + chr(0b100 + 0o141) + chr(0b1100011) + chr(971 - 860) + '\x64' + '\x65')(chr(585 - 468) + chr(0b1110100) + '\x66' + '\055' + chr(0b11010 + 0o36)))(xafqLlk3kkUe(SXOLrMavuUCe(b'_\xb2\xd5 \xa778\xba\x82\xcb\xfas\x9bFt\xd9`\x8e\x0b\xdfr@\x8e\xdc\x84vd\xda\n~\xf3y\xf4\xa5\xfb\xf7\x07 \xf0\x0bZ\xbe\xdcn\x9189\xab\x86\xca\xbe4'), chr(1722 - 1622) + '\x65' + chr(0b1100011) + chr(111) + '\144' + '\x65')(chr(7177 - 7060) + chr(116) + chr(2255 - 2153) + chr(1849 - 1804) + chr(56)), ker4pIJmdvxf)
WABECtcYvOwd = M8EIoTs2GJXE.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'R\xb6\xd2\x11\x99$/\xbe'), chr(100) + chr(3893 - 3792) + chr(0b1011001 + 0o12) + chr(0b1100100 + 0o13) + chr(0b1100100 + 0o0) + '\x65')('\165' + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000)))
assert not M8EIoTs2GJXE, xafqLlk3kkUe(SXOLrMavuUCe(b'J\xb1\xd96\x883)\xab\x86\xcf\xfaq\x8d\x1fg\xd3b\x98N\xddaS\x9e\xd5\xcf8@\xc5Oy\xefn\xf4\xb0\xfa\xf3I$\xfe\x14`\xac\xd54\x9d\t)\xad\x8c\xdb\xba4'), chr(7186 - 7086) + '\145' + chr(99) + chr(0b1000000 + 0o57) + '\x64' + chr(0b101010 + 0o73))(chr(0b1110101) + chr(116) + '\x66' + '\055' + chr(56))
if PlSM16l2KDPD(WABECtcYvOwd, _oZ7ToMS5xAg):
WABECtcYvOwd = (WABECtcYvOwd, 1.0)
for VNGQdHSFPrso in vQr8gNKaIaWE(ehT0Px3KOsy9('\x30' + '\x6f' + chr(763 - 714) + '\x32', ord("\x08"))):
lxmcvZIFbuUG = drxw09AdRdci.uniform(WABECtcYvOwd[ehT0Px3KOsy9(chr(1155 - 1107) + chr(10734 - 10623) + '\060', 0b1000)], WABECtcYvOwd[ehT0Px3KOsy9(chr(48) + chr(0b1010110 + 0o31) + chr(1758 - 1709), 0o10)]) * YYSxpsLmmUUE
gi7F8Yybkb92 = (WqUC3KWvYVup.log(pyiPBPsXZj35[ehT0Px3KOsy9(chr(147 - 99) + '\x6f' + chr(48), 8)]), WqUC3KWvYVup.log(pyiPBPsXZj35[ehT0Px3KOsy9('\060' + '\157' + chr(49), 8)]))
qAjbzbSDSzmW = WqUC3KWvYVup.exp(drxw09AdRdci.uniform(*gi7F8Yybkb92))
QUHZpLOBId8l = ehT0Px3KOsy9(jB_HdqgHmVpI(WqUC3KWvYVup.sqrt(lxmcvZIFbuUG * qAjbzbSDSzmW)))
EURzVsa4r7BU = ehT0Px3KOsy9(jB_HdqgHmVpI(WqUC3KWvYVup.sqrt(lxmcvZIFbuUG / qAjbzbSDSzmW)))
if QUHZpLOBId8l <= AOfzRywRzEXp and EURzVsa4r7BU <= sz4HVsFVF8nL:
MTHwGDA8i59t = drxw09AdRdci.FXbppO8HYrND(ehT0Px3KOsy9(chr(615 - 567) + chr(0b1101111) + chr(48), 8), AOfzRywRzEXp - QUHZpLOBId8l)
TTufnT3oefIY = drxw09AdRdci.FXbppO8HYrND(ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101 + 0o53), 8), sz4HVsFVF8nL - EURzVsa4r7BU)
UkrMp_I0RDmo = P2JjN8tglIvk(SBY5QklkRnQv, MTHwGDA8i59t, TTufnT3oefIY, QUHZpLOBId8l, EURzVsa4r7BU, NLcc3BCJnQka, qXK51mMOZ2rb)
return (UkrMp_I0RDmo, (MTHwGDA8i59t, TTufnT3oefIY, QUHZpLOBId8l, EURzVsa4r7BU))
return ZiZKLPEK4Ou6(SBY5QklkRnQv, NLcc3BCJnQka, qXK51mMOZ2rb)
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
CreateAugmenter
|
def CreateAugmenter(data_shape, resize=0, rand_crop=False, rand_resize=False, rand_mirror=False,
mean=None, std=None, brightness=0, contrast=0, saturation=0, hue=0,
pca_noise=0, rand_gray=0, inter_method=2):
"""Creates an augmenter list.
Parameters
----------
data_shape : tuple of int
Shape for output data
resize : int
Resize shorter edge if larger than 0 at the begining
rand_crop : bool
Whether to enable random cropping other than center crop
rand_resize : bool
Whether to enable random sized cropping, require rand_crop to be enabled
rand_gray : float
[0, 1], probability to convert to grayscale for all channels, the number
of channels will not be reduced to 1
rand_mirror : bool
Whether to apply horizontal flip to image with probability 0.5
mean : np.ndarray or None
Mean pixel values for [r, g, b]
std : np.ndarray or None
Standard deviations for [r, g, b]
brightness : float
Brightness jittering range (percent)
contrast : float
Contrast jittering range (percent)
saturation : float
Saturation jittering range (percent)
hue : float
Hue jittering range (percent)
pca_noise : float
Pca noise level (percent)
inter_method : int, default=2(Area-based)
Interpolation method for all resizing operations
Possible values:
0: Nearest Neighbors Interpolation.
1: Bilinear interpolation.
2: Area-based (resampling using pixel area relation). It may be a
preferred method for image decimation, as it gives moire-free
results. But when the image is zoomed, it is similar to the Nearest
Neighbors method. (used by default).
3: Bicubic interpolation over 4x4 pixel neighborhood.
4: Lanczos interpolation over 8x8 pixel neighborhood.
9: Cubic for enlarge, area for shrink, bilinear for others
10: Random select from interpolation method metioned above.
Note:
When shrinking an image, it will generally look best with AREA-based
interpolation, whereas, when enlarging an image, it will generally look best
with Bicubic (slow) or Bilinear (faster but still looks OK).
Examples
--------
>>> # An example of creating multiple augmenters
>>> augs = mx.image.CreateAugmenter(data_shape=(3, 300, 300), rand_mirror=True,
... mean=True, brightness=0.125, contrast=0.125, rand_gray=0.05,
... saturation=0.125, pca_noise=0.05, inter_method=10)
>>> # dump the details
>>> for aug in augs:
... aug.dumps()
"""
auglist = []
if resize > 0:
auglist.append(ResizeAug(resize, inter_method))
crop_size = (data_shape[2], data_shape[1])
if rand_resize:
assert rand_crop
auglist.append(RandomSizedCropAug(crop_size, 0.08, (3.0 / 4.0, 4.0 / 3.0), inter_method))
elif rand_crop:
auglist.append(RandomCropAug(crop_size, inter_method))
else:
auglist.append(CenterCropAug(crop_size, inter_method))
if rand_mirror:
auglist.append(HorizontalFlipAug(0.5))
auglist.append(CastAug())
if brightness or contrast or saturation:
auglist.append(ColorJitterAug(brightness, contrast, saturation))
if hue:
auglist.append(HueJitterAug(hue))
if pca_noise > 0:
eigval = np.array([55.46, 4.794, 1.148])
eigvec = np.array([[-0.5675, 0.7192, 0.4009],
[-0.5808, -0.0045, -0.8140],
[-0.5836, -0.6948, 0.4203]])
auglist.append(LightingAug(pca_noise, eigval, eigvec))
if rand_gray > 0:
auglist.append(RandomGrayAug(rand_gray))
if mean is True:
mean = nd.array([123.68, 116.28, 103.53])
elif mean is not None:
assert isinstance(mean, (np.ndarray, nd.NDArray)) and mean.shape[0] in [1, 3]
if std is True:
std = nd.array([58.395, 57.12, 57.375])
elif std is not None:
assert isinstance(std, (np.ndarray, nd.NDArray)) and std.shape[0] in [1, 3]
if mean is not None or std is not None:
auglist.append(ColorNormalizeAug(mean, std))
return auglist
|
python
|
def CreateAugmenter(data_shape, resize=0, rand_crop=False, rand_resize=False, rand_mirror=False,
mean=None, std=None, brightness=0, contrast=0, saturation=0, hue=0,
pca_noise=0, rand_gray=0, inter_method=2):
"""Creates an augmenter list.
Parameters
----------
data_shape : tuple of int
Shape for output data
resize : int
Resize shorter edge if larger than 0 at the begining
rand_crop : bool
Whether to enable random cropping other than center crop
rand_resize : bool
Whether to enable random sized cropping, require rand_crop to be enabled
rand_gray : float
[0, 1], probability to convert to grayscale for all channels, the number
of channels will not be reduced to 1
rand_mirror : bool
Whether to apply horizontal flip to image with probability 0.5
mean : np.ndarray or None
Mean pixel values for [r, g, b]
std : np.ndarray or None
Standard deviations for [r, g, b]
brightness : float
Brightness jittering range (percent)
contrast : float
Contrast jittering range (percent)
saturation : float
Saturation jittering range (percent)
hue : float
Hue jittering range (percent)
pca_noise : float
Pca noise level (percent)
inter_method : int, default=2(Area-based)
Interpolation method for all resizing operations
Possible values:
0: Nearest Neighbors Interpolation.
1: Bilinear interpolation.
2: Area-based (resampling using pixel area relation). It may be a
preferred method for image decimation, as it gives moire-free
results. But when the image is zoomed, it is similar to the Nearest
Neighbors method. (used by default).
3: Bicubic interpolation over 4x4 pixel neighborhood.
4: Lanczos interpolation over 8x8 pixel neighborhood.
9: Cubic for enlarge, area for shrink, bilinear for others
10: Random select from interpolation method metioned above.
Note:
When shrinking an image, it will generally look best with AREA-based
interpolation, whereas, when enlarging an image, it will generally look best
with Bicubic (slow) or Bilinear (faster but still looks OK).
Examples
--------
>>> # An example of creating multiple augmenters
>>> augs = mx.image.CreateAugmenter(data_shape=(3, 300, 300), rand_mirror=True,
... mean=True, brightness=0.125, contrast=0.125, rand_gray=0.05,
... saturation=0.125, pca_noise=0.05, inter_method=10)
>>> # dump the details
>>> for aug in augs:
... aug.dumps()
"""
auglist = []
if resize > 0:
auglist.append(ResizeAug(resize, inter_method))
crop_size = (data_shape[2], data_shape[1])
if rand_resize:
assert rand_crop
auglist.append(RandomSizedCropAug(crop_size, 0.08, (3.0 / 4.0, 4.0 / 3.0), inter_method))
elif rand_crop:
auglist.append(RandomCropAug(crop_size, inter_method))
else:
auglist.append(CenterCropAug(crop_size, inter_method))
if rand_mirror:
auglist.append(HorizontalFlipAug(0.5))
auglist.append(CastAug())
if brightness or contrast or saturation:
auglist.append(ColorJitterAug(brightness, contrast, saturation))
if hue:
auglist.append(HueJitterAug(hue))
if pca_noise > 0:
eigval = np.array([55.46, 4.794, 1.148])
eigvec = np.array([[-0.5675, 0.7192, 0.4009],
[-0.5808, -0.0045, -0.8140],
[-0.5836, -0.6948, 0.4203]])
auglist.append(LightingAug(pca_noise, eigval, eigvec))
if rand_gray > 0:
auglist.append(RandomGrayAug(rand_gray))
if mean is True:
mean = nd.array([123.68, 116.28, 103.53])
elif mean is not None:
assert isinstance(mean, (np.ndarray, nd.NDArray)) and mean.shape[0] in [1, 3]
if std is True:
std = nd.array([58.395, 57.12, 57.375])
elif std is not None:
assert isinstance(std, (np.ndarray, nd.NDArray)) and std.shape[0] in [1, 3]
if mean is not None or std is not None:
auglist.append(ColorNormalizeAug(mean, std))
return auglist
|
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] |
Creates an augmenter list.
Parameters
----------
data_shape : tuple of int
Shape for output data
resize : int
Resize shorter edge if larger than 0 at the begining
rand_crop : bool
Whether to enable random cropping other than center crop
rand_resize : bool
Whether to enable random sized cropping, require rand_crop to be enabled
rand_gray : float
[0, 1], probability to convert to grayscale for all channels, the number
of channels will not be reduced to 1
rand_mirror : bool
Whether to apply horizontal flip to image with probability 0.5
mean : np.ndarray or None
Mean pixel values for [r, g, b]
std : np.ndarray or None
Standard deviations for [r, g, b]
brightness : float
Brightness jittering range (percent)
contrast : float
Contrast jittering range (percent)
saturation : float
Saturation jittering range (percent)
hue : float
Hue jittering range (percent)
pca_noise : float
Pca noise level (percent)
inter_method : int, default=2(Area-based)
Interpolation method for all resizing operations
Possible values:
0: Nearest Neighbors Interpolation.
1: Bilinear interpolation.
2: Area-based (resampling using pixel area relation). It may be a
preferred method for image decimation, as it gives moire-free
results. But when the image is zoomed, it is similar to the Nearest
Neighbors method. (used by default).
3: Bicubic interpolation over 4x4 pixel neighborhood.
4: Lanczos interpolation over 8x8 pixel neighborhood.
9: Cubic for enlarge, area for shrink, bilinear for others
10: Random select from interpolation method metioned above.
Note:
When shrinking an image, it will generally look best with AREA-based
interpolation, whereas, when enlarging an image, it will generally look best
with Bicubic (slow) or Bilinear (faster but still looks OK).
Examples
--------
>>> # An example of creating multiple augmenters
>>> augs = mx.image.CreateAugmenter(data_shape=(3, 300, 300), rand_mirror=True,
... mean=True, brightness=0.125, contrast=0.125, rand_gray=0.05,
... saturation=0.125, pca_noise=0.05, inter_method=10)
>>> # dump the details
>>> for aug in augs:
... aug.dumps()
|
[
"Creates",
"an",
"augmenter",
"list",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L1015-L1126
|
train
|
Creates an augmenter list for a given set of data.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(5342 - 5231) + '\062' + chr(1658 - 1610) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + '\x31' + chr(52) + chr(0b11000 + 0o31), 58730 - 58722), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1010100 + 0o33) + chr(50) + '\064' + chr(0b101110 + 0o10), 37401 - 37393), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101001 + 0o6) + chr(50) + chr(0b11110 + 0o27) + chr(0b10001 + 0o44), 0o10), ehT0Px3KOsy9(chr(1491 - 1443) + chr(10441 - 10330) + chr(0b110010) + chr(0b100001 + 0o26) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(0b110010) + chr(97 - 44) + chr(0b10100 + 0o41), 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(1630 - 1581) + chr(1675 - 1620) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(52) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(533 - 422) + chr(50) + chr(52) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1005 - 957) + '\157' + '\x31' + chr(0b1001 + 0o55) + chr(483 - 435), 0b1000), ehT0Px3KOsy9(chr(1948 - 1900) + '\157' + '\063' + chr(51) + chr(0b100001 + 0o21), 0o10), ehT0Px3KOsy9('\060' + chr(9704 - 9593) + chr(0b110001) + chr(0b110011) + chr(2413 - 2358), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2056 - 2007) + chr(708 - 655), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1100001 + 0o16) + chr(0b110101) + chr(2792 - 2737), ord("\x08")), ehT0Px3KOsy9(chr(177 - 129) + chr(0b1101111) + chr(52) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\064' + chr(0b10 + 0o63), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5655 - 5544) + '\061' + '\066' + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(199 - 148) + '\x34', 30731 - 30723), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(0b110111) + '\x32', 27100 - 27092), ehT0Px3KOsy9(chr(1982 - 1934) + '\157' + chr(0b100111 + 0o20), 0o10), ehT0Px3KOsy9(chr(2001 - 1953) + '\157' + chr(50) + chr(2220 - 2169) + '\x31', 49780 - 49772), ehT0Px3KOsy9(chr(0b110000) + chr(0b10111 + 0o130) + chr(0b101001 + 0o11) + chr(51) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5471 - 5360) + '\x32' + chr(1244 - 1194) + chr(0b1111 + 0o44), 0b1000), ehT0Px3KOsy9(chr(1837 - 1789) + '\x6f' + chr(49) + chr(0b110111) + chr(0b10111 + 0o32), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1011 - 962) + '\064' + chr(0b1011 + 0o45), 34947 - 34939), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(1037 - 989) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + '\x31' + chr(0b110001) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(55) + chr(50), 39397 - 39389), ehT0Px3KOsy9(chr(2178 - 2130) + chr(111) + chr(0b110010) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1 + 0o156) + chr(349 - 299) + chr(113 - 60) + '\x35', 8), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1100111 + 0o10) + '\061' + '\063' + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b110010) + '\066', 58924 - 58916), ehT0Px3KOsy9(chr(1868 - 1820) + chr(0b111100 + 0o63) + chr(49) + chr(0b110101) + chr(990 - 938), 0b1000), ehT0Px3KOsy9(chr(1146 - 1098) + '\157' + '\x32' + chr(0b10000 + 0o42) + chr(1056 - 1007), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011 + 0o0) + '\x33' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1881 - 1833) + '\x6f' + chr(0b1001 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(1222 - 1173), 54634 - 54626), ehT0Px3KOsy9(chr(0b110000) + chr(8991 - 8880) + chr(275 - 225) + chr(1188 - 1134) + chr(244 - 190), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(132 - 21) + chr(1456 - 1405) + chr(0b110010) + chr(2433 - 2378), 62202 - 62194)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2157 - 2109) + chr(0b1101111) + '\x35' + chr(0b11101 + 0o23), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xab'), chr(0b1100100) + chr(101) + chr(99) + chr(10550 - 10439) + chr(6391 - 6291) + chr(101))(chr(8348 - 8231) + '\164' + chr(0b1100110) + chr(45) + chr(2312 - 2256)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jfCg5NnLPUv6(l48nAKgbtcOz, x_dQG0ykrOi1=ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10110 + 0o32), 8), Xj13a7Z0cK7m=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(48), 8), U9dta2bW1oKs=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000), 8), cAWik6a1gja4=ehT0Px3KOsy9(chr(48) + chr(111) + chr(1737 - 1689), 8), aJhItC_Vawlw=None, o3E_VFExiNOk=None, qZNmP1QBGNnQ=ehT0Px3KOsy9(chr(48) + '\x6f' + '\x30', 8), ycmj1Rz5MRpl=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000), 8), GuK8fAs_sisx=ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\x30', 8), BDCKR21ZT4le=ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + chr(710 - 662), 8), f9Om0JpSSwC3=ehT0Px3KOsy9('\060' + '\157' + chr(48), 8), xN1hpav3F_JD=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\060', 8), VW_i_8f1HT2Z=ehT0Px3KOsy9(chr(1720 - 1672) + '\x6f' + chr(695 - 645), 0o10)):
jshHUINBAwlA = []
if x_dQG0ykrOi1 > ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(5595 - 5484) + chr(2033 - 1985), 8):
xafqLlk3kkUe(jshHUINBAwlA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\x7f\x11\xc3\xc3\xd8'), '\144' + chr(101) + chr(99) + '\157' + '\144' + chr(101))('\x75' + '\164' + chr(0b1010100 + 0o22) + '\x2d' + '\070'))(vadqhFdTdP4J(x_dQG0ykrOi1, VW_i_8f1HT2Z))
wjHrP8LSmvyA = (l48nAKgbtcOz[ehT0Px3KOsy9(chr(2170 - 2122) + chr(8922 - 8811) + chr(50), 8)], l48nAKgbtcOz[ehT0Px3KOsy9('\x30' + '\x6f' + chr(49), ord("\x08"))])
if U9dta2bW1oKs:
assert Xj13a7Z0cK7m
xafqLlk3kkUe(jshHUINBAwlA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\x7f\x11\xc3\xc3\xd8'), chr(100) + '\145' + chr(0b110111 + 0o54) + '\157' + chr(5327 - 5227) + chr(101))(chr(10825 - 10708) + chr(12152 - 12036) + chr(0b1100110) + chr(0b101101) + '\x38'))(VSJNEfOyvRm6(wjHrP8LSmvyA, 0.08, (3.0 / 4.0, 4.0 / 3.0), VW_i_8f1HT2Z))
elif Xj13a7Z0cK7m:
xafqLlk3kkUe(jshHUINBAwlA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\x7f\x11\xc3\xc3\xd8'), chr(0b1100100) + chr(2856 - 2755) + chr(0b1100011) + '\157' + '\x64' + '\x65')('\165' + chr(0b1110100) + '\x66' + '\055' + '\x38'))(EADBMLFSvHbg(wjHrP8LSmvyA, VW_i_8f1HT2Z))
else:
xafqLlk3kkUe(jshHUINBAwlA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\x7f\x11\xc3\xc3\xd8'), chr(0b101100 + 0o70) + chr(9869 - 9768) + chr(0b1100011 + 0o0) + chr(0b1101111) + chr(100) + chr(6337 - 6236))('\165' + chr(0b1011011 + 0o31) + chr(0b1100110) + '\055' + chr(0b100100 + 0o24)))(cenJclh6xRut(wjHrP8LSmvyA, VW_i_8f1HT2Z))
if cAWik6a1gja4:
xafqLlk3kkUe(jshHUINBAwlA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\x7f\x11\xc3\xc3\xd8'), chr(100) + chr(3210 - 3109) + chr(99) + chr(111) + '\144' + chr(101))(chr(0b1110101) + chr(10297 - 10181) + chr(0b100001 + 0o105) + chr(45) + chr(56)))(HwETsPn21qQN(0.5))
xafqLlk3kkUe(jshHUINBAwlA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\x7f\x11\xc3\xc3\xd8'), chr(100) + chr(3816 - 3715) + chr(0b1100011) + chr(111) + '\144' + chr(0b11001 + 0o114))(chr(0b1101001 + 0o14) + '\164' + chr(102) + chr(0b0 + 0o55) + '\x38'))(SOOeIs9EFUgp())
if qZNmP1QBGNnQ or ycmj1Rz5MRpl or GuK8fAs_sisx:
xafqLlk3kkUe(jshHUINBAwlA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\x7f\x11\xc3\xc3\xd8'), '\x64' + chr(101) + chr(99) + chr(2387 - 2276) + '\144' + chr(2484 - 2383))(chr(0b1110101) + '\164' + chr(102) + '\055' + chr(0b111000)))(e2mRzAjft6V_(qZNmP1QBGNnQ, ycmj1Rz5MRpl, GuK8fAs_sisx))
if BDCKR21ZT4le:
xafqLlk3kkUe(jshHUINBAwlA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\x7f\x11\xc3\xc3\xd8'), chr(0b1100100) + chr(101) + chr(99) + '\x6f' + chr(6192 - 6092) + chr(0b10010 + 0o123))('\x75' + '\x74' + '\x66' + chr(1237 - 1192) + chr(503 - 447)))(HJbtpMXfTuCW(BDCKR21ZT4le))
if f9Om0JpSSwC3 > ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(48), 8):
mmY6ubcXHbmj = WqUC3KWvYVup.B0ePDhpqxN5n([55.46, 4.794, 1.148])
TVPvLr7d8C0L = WqUC3KWvYVup.B0ePDhpqxN5n([[-0.5675, 0.7192, 0.4009], [-0.5808, -0.0045, -0.814], [-0.5836, -0.6948, 0.4203]])
xafqLlk3kkUe(jshHUINBAwlA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\x7f\x11\xc3\xc3\xd8'), chr(5695 - 5595) + '\145' + chr(0b1010000 + 0o23) + chr(0b1100011 + 0o14) + chr(0b1100100) + '\145')(chr(0b1010100 + 0o41) + chr(116) + chr(5598 - 5496) + chr(146 - 101) + chr(0b111000)))(TpJcwSYGk9_k(f9Om0JpSSwC3, mmY6ubcXHbmj, TVPvLr7d8C0L))
if xN1hpav3F_JD > ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(0b101110 + 0o2), 8):
xafqLlk3kkUe(jshHUINBAwlA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\x7f\x11\xc3\xc3\xd8'), chr(0b1010 + 0o132) + '\x65' + chr(99) + chr(111) + '\144' + chr(0b1100101 + 0o0))('\165' + chr(2878 - 2762) + '\x66' + chr(0b101101) + chr(0b11110 + 0o32)))(sLvrSH0CkdVJ(xN1hpav3F_JD))
if aJhItC_Vawlw is ehT0Px3KOsy9(chr(48) + chr(1845 - 1734) + chr(1147 - 1098), 8):
aJhItC_Vawlw = Vy_CFRcuYrTj.B0ePDhpqxN5n([123.68, 116.28, 103.53])
elif aJhItC_Vawlw is not None:
assert PlSM16l2KDPD(aJhItC_Vawlw, (xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xebk\x00\xd4\xdf\xdd\xd4'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(8110 - 7999) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + chr(0b1111 + 0o36) + chr(0b11110 + 0o32))), xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcbK \xd4\xdf\xdd\xd4'), chr(0b1100100) + chr(0b101100 + 0o71) + '\x63' + chr(148 - 37) + chr(4548 - 4448) + chr(101))('\x75' + chr(0b1011010 + 0o32) + '\146' + chr(45) + '\070')))) and xafqLlk3kkUe(aJhItC_Vawlw, xafqLlk3kkUe(SXOLrMavuUCe(b'\xebn\x14\xff\xcb\xf0\xca\x10t\xd1\x13\xb8'), chr(9518 - 9418) + chr(0b1100101) + '\143' + chr(111) + '\144' + chr(1786 - 1685))(chr(4009 - 3892) + chr(698 - 582) + chr(0b1100110) + chr(0b101101) + chr(1096 - 1040)))[ehT0Px3KOsy9('\060' + chr(111) + chr(0b10000 + 0o40), 8)] in [ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10001 + 0o40), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2339 - 2288), 0o10)]
if o3E_VFExiNOk is ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1621 - 1572), 8):
o3E_VFExiNOk = Vy_CFRcuYrTj.B0ePDhpqxN5n([58.395, 57.12, 57.375])
elif o3E_VFExiNOk is not None:
assert PlSM16l2KDPD(o3E_VFExiNOk, (xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xebk\x00\xd4\xdf\xdd\xd4'), '\144' + '\x65' + chr(0b1100011) + '\157' + chr(559 - 459) + chr(1964 - 1863))(chr(5837 - 5720) + chr(4993 - 4877) + chr(2284 - 2182) + chr(0b101101) + chr(0b10101 + 0o43))), xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcbK \xd4\xdf\xdd\xd4'), chr(0b1100100) + chr(6830 - 6729) + '\143' + chr(9444 - 9333) + chr(100) + chr(6492 - 6391))('\x75' + chr(0b1010101 + 0o37) + '\x66' + '\x2d' + '\070')))) and xafqLlk3kkUe(o3E_VFExiNOk, xafqLlk3kkUe(SXOLrMavuUCe(b'\xebn\x14\xff\xcb\xf0\xca\x10t\xd1\x13\xb8'), '\144' + '\x65' + chr(5472 - 5373) + chr(8408 - 8297) + '\144' + chr(0b111101 + 0o50))(chr(556 - 439) + '\x74' + '\x66' + '\055' + chr(0b10 + 0o66)))[ehT0Px3KOsy9('\060' + '\157' + chr(1295 - 1247), 8)] in [ehT0Px3KOsy9(chr(2190 - 2142) + chr(0b11010 + 0o125) + chr(1514 - 1465), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101010 + 0o11), 8)]
if aJhItC_Vawlw is not None or o3E_VFExiNOk is not None:
xafqLlk3kkUe(jshHUINBAwlA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\x7f\x11\xc3\xc3\xd8'), chr(7785 - 7685) + chr(0b1010 + 0o133) + chr(0b110 + 0o135) + chr(0b1101001 + 0o6) + '\x64' + chr(0b1100101))(chr(0b101010 + 0o113) + '\164' + '\x66' + chr(0b101101) + chr(3023 - 2967)))(Td_IDV3nP80r(aJhItC_Vawlw, o3E_VFExiNOk))
return jshHUINBAwlA
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
Augmenter.dumps
|
def dumps(self):
"""Saves the Augmenter to string
Returns
-------
str
JSON formatted string that describes the Augmenter.
"""
return json.dumps([self.__class__.__name__.lower(), self._kwargs])
|
python
|
def dumps(self):
"""Saves the Augmenter to string
Returns
-------
str
JSON formatted string that describes the Augmenter.
"""
return json.dumps([self.__class__.__name__.lower(), self._kwargs])
|
[
"def",
"dumps",
"(",
"self",
")",
":",
"return",
"json",
".",
"dumps",
"(",
"[",
"self",
".",
"__class__",
".",
"__name__",
".",
"lower",
"(",
")",
",",
"self",
".",
"_kwargs",
"]",
")"
] |
Saves the Augmenter to string
Returns
-------
str
JSON formatted string that describes the Augmenter.
|
[
"Saves",
"the",
"Augmenter",
"to",
"string"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L616-L624
|
train
|
Saves the Augmenter to string returning the str
JSON formatted string that describes the Augmenter.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(1855 - 1805) + chr(0b1101 + 0o51) + chr(272 - 217), 15974 - 15966), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(2050 - 2001) + '\060' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(5762 - 5651) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\x30' + chr(2324 - 2275), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b101001 + 0o11) + chr(0b1011 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(1105 - 1057) + chr(0b1101111) + chr(0b100111 + 0o13) + chr(0b110011) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(51) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100 + 0o153) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(3955 - 3844) + '\063' + chr(0b110111) + chr(0b100110 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(308 - 259) + chr(54) + chr(55), 26694 - 26686), ehT0Px3KOsy9(chr(2002 - 1954) + chr(111) + chr(49) + chr(736 - 683) + chr(0b110100 + 0o0), 39254 - 39246), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(49) + chr(53), 0b1000), ehT0Px3KOsy9(chr(1758 - 1710) + chr(0b10010 + 0o135) + chr(0b100001 + 0o20) + '\x34' + chr(816 - 764), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(2191 - 2139) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b110000) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(975 - 920) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11667 - 11556) + chr(49) + chr(1211 - 1158) + chr(0b101100 + 0o4), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110 + 0o151) + chr(0b110001) + chr(0b11011 + 0o30), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11111 + 0o120) + chr(0b11110 + 0o25) + chr(0b110001 + 0o3) + chr(51), 8), ehT0Px3KOsy9(chr(1296 - 1248) + '\157' + chr(0b110010) + chr(1562 - 1514) + chr(0b100111 + 0o13), 61765 - 61757), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b100100 + 0o20) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1644 - 1596) + chr(0b101000 + 0o107) + chr(1655 - 1601) + chr(0b101111 + 0o6), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(0b100001 + 0o26), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\x32' + chr(0b110000), 1498 - 1490), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(0b110011) + chr(296 - 243) + chr(85 - 35), 42178 - 42170), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1101 + 0o51) + chr(1211 - 1163), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(48), 49107 - 49099), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(511 - 460), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b1011 + 0o52) + '\062', 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(52) + chr(0b100010 + 0o20), 27307 - 27299), ehT0Px3KOsy9('\060' + chr(111) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(11814 - 11703) + chr(0b110010 + 0o0) + '\x34' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(504 - 456) + chr(0b1101111) + '\x31' + '\x34' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(11300 - 11189) + '\064' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + '\063' + '\067' + '\x37', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b1010 + 0o47) + chr(49) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(188 - 133), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(51) + chr(498 - 448) + '\062', 0o10), ehT0Px3KOsy9(chr(2030 - 1982) + '\x6f' + chr(2082 - 2031) + '\062' + chr(48), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(1329 - 1275) + '\066', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101101 + 0o10) + chr(48), 48889 - 48881)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x99'), '\144' + chr(101) + chr(6777 - 6678) + chr(9348 - 9237) + chr(0b1100100) + chr(101))(chr(0b1100010 + 0o23) + '\x74' + chr(0b100110 + 0o100) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xAMNxXacWsXH(oVre8I6UXc3b):
return xafqLlk3kkUe(fXk443epxtd5, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd37h1\xe1'), '\144' + chr(7072 - 6971) + chr(99) + '\157' + chr(100) + '\x65')(chr(0b1101010 + 0o13) + chr(116) + chr(0b1100110) + chr(45) + '\070'))([xafqLlk3kkUe(oVre8I6UXc3b.__class__.__name__, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb-r$\xe0'), chr(100) + chr(2496 - 2395) + '\x63' + '\157' + '\144' + chr(0b1100101))(chr(0b101101 + 0o110) + '\164' + chr(0b101001 + 0o75) + chr(0b101101) + chr(0b101 + 0o63)))(), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8)r \xe0\xf9n'), chr(848 - 748) + '\145' + chr(0b1100011) + chr(111) + '\x64' + '\145')('\x75' + '\x74' + chr(6064 - 5962) + '\055' + chr(0b111000)))])
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
SequentialAug.dumps
|
def dumps(self):
"""Override the default to avoid duplicate dump."""
return [self.__class__.__name__.lower(), [x.dumps() for x in self.ts]]
|
python
|
def dumps(self):
"""Override the default to avoid duplicate dump."""
return [self.__class__.__name__.lower(), [x.dumps() for x in self.ts]]
|
[
"def",
"dumps",
"(",
"self",
")",
":",
"return",
"[",
"self",
".",
"__class__",
".",
"__name__",
".",
"lower",
"(",
")",
",",
"[",
"x",
".",
"dumps",
"(",
")",
"for",
"x",
"in",
"self",
".",
"ts",
"]",
"]"
] |
Override the default to avoid duplicate dump.
|
[
"Override",
"the",
"default",
"to",
"avoid",
"duplicate",
"dump",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L643-L645
|
train
|
Override the default to avoid duplicate dump.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b11 + 0o57) + '\066' + chr(48), 12991 - 12983), ehT0Px3KOsy9(chr(1741 - 1693) + chr(3362 - 3251) + chr(1625 - 1575) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1116 - 1066) + chr(52), 0b1000), ehT0Px3KOsy9(chr(220 - 172) + '\157' + chr(49) + chr(0b1 + 0o61) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(2326 - 2273) + '\x37', 14191 - 14183), ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + '\x33' + '\x31' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(54) + chr(0b110101), 29789 - 29781), ehT0Px3KOsy9(chr(2284 - 2236) + chr(12222 - 12111) + '\x33' + '\063' + chr(2620 - 2566), 52875 - 52867), ehT0Px3KOsy9('\x30' + chr(0b1001110 + 0o41) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4392 - 4281) + chr(2331 - 2280) + '\065' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(49) + chr(0b111 + 0o52) + chr(0b101011 + 0o14), 31288 - 31280), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(53) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b110101) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1337 - 1289) + chr(1719 - 1608) + chr(0b110100) + '\x32', 37748 - 37740), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110 + 0o53) + '\063', 46576 - 46568), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + '\061' + chr(0b110010) + chr(2953 - 2898), ord("\x08")), ehT0Px3KOsy9(chr(1702 - 1654) + chr(111) + '\x33' + '\x31' + chr(0b110011), 49013 - 49005), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b110010) + '\x36' + chr(0b110010), 60993 - 60985), ehT0Px3KOsy9('\060' + chr(3386 - 3275) + chr(0b11101 + 0o26) + chr(282 - 227) + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001 + 0o2) + chr(0b10100 + 0o40), 61488 - 61480), ehT0Px3KOsy9(chr(309 - 261) + chr(0b1010110 + 0o31) + chr(1226 - 1176) + '\x36' + chr(0b1100 + 0o52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\064' + chr(1059 - 1009), 47471 - 47463), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101011 + 0o7) + '\x31' + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100111 + 0o14) + chr(0b110001) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(317 - 269) + '\x6f' + '\x31' + '\066' + chr(0b110111), 54985 - 54977), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11001 + 0o30) + chr(0b110101) + chr(51), 17569 - 17561), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11010 + 0o30) + chr(495 - 443) + chr(1439 - 1384), 63122 - 63114), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(1759 - 1710) + '\x30' + chr(54), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10111 + 0o32) + '\063' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4608 - 4497) + '\x32' + chr(0b110111) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1466 - 1418) + '\157' + '\x33' + chr(0b101011 + 0o11), 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + chr(0b110110) + chr(1744 - 1694), 0o10), ehT0Px3KOsy9('\060' + chr(1441 - 1330) + chr(0b100101 + 0o15) + '\x35', 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x32' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11 + 0o55), 8), ehT0Px3KOsy9(chr(668 - 620) + chr(0b1101111) + '\x31' + chr(0b1101 + 0o45), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\067' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + chr(0b110010) + '\x30' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(2019 - 1971) + '\157' + chr(51) + chr(1221 - 1173) + '\x33', 57829 - 57821), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(527 - 474) + chr(53), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(316 - 268) + '\x6f' + chr(0b110101) + '\060', 7913 - 7905)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e'), '\144' + '\145' + chr(0b1100011) + '\157' + '\144' + chr(0b1100101))(chr(0b110110 + 0o77) + chr(254 - 138) + chr(102) + '\x2d' + chr(2583 - 2527)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xAMNxXacWsXH(oVre8I6UXc3b):
return [xafqLlk3kkUe(oVre8I6UXc3b.__class__.__name__, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdczc5\x1d'), chr(0b1100100) + chr(101) + chr(1242 - 1143) + '\x6f' + chr(2838 - 2738) + '\145')('\165' + chr(116) + chr(102) + '\x2d' + '\070'))(), [xafqLlk3kkUe(OeWW0F1dBPRQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4`y \x1c'), '\144' + chr(0b1100101) + chr(99) + chr(5571 - 5460) + '\144' + '\x65')('\165' + chr(0b1110100) + chr(0b100101 + 0o101) + chr(949 - 904) + chr(0b100000 + 0o30)))() for OeWW0F1dBPRQ in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4f'), chr(100) + chr(101) + chr(99) + chr(6474 - 6363) + '\144' + chr(0b110011 + 0o62))(chr(117) + chr(8240 - 8124) + '\146' + chr(0b10011 + 0o32) + chr(56)))]]
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
ImageIter.reset
|
def reset(self):
"""Resets the iterator to the beginning of the data."""
if self.seq is not None and self.shuffle:
random.shuffle(self.seq)
if self.last_batch_handle != 'roll_over' or \
self._cache_data is None:
if self.imgrec is not None:
self.imgrec.reset()
self.cur = 0
if self._allow_read is False:
self._allow_read = True
|
python
|
def reset(self):
"""Resets the iterator to the beginning of the data."""
if self.seq is not None and self.shuffle:
random.shuffle(self.seq)
if self.last_batch_handle != 'roll_over' or \
self._cache_data is None:
if self.imgrec is not None:
self.imgrec.reset()
self.cur = 0
if self._allow_read is False:
self._allow_read = True
|
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"'roll_over'",
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":",
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"_allow_read",
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] |
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/python/mxnet/image/image.py#L1278-L1288
|
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('\060' + chr(4714 - 4603) + chr(0b1100 + 0o46) + chr(1515 - 1462) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(977 - 929) + '\065', 0o10), ehT0Px3KOsy9(chr(600 - 552) + '\x6f' + chr(0b1001 + 0o52) + chr(0b1 + 0o61) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1721 - 1672) + '\x35' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + '\x32' + '\x35' + chr(0b100 + 0o57), 56752 - 56744), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(53) + chr(1352 - 1301), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + chr(0b110001) + chr(0b11110 + 0o26), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10111 + 0o34) + chr(0b101111 + 0o7) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b110000) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1513 - 1465) + '\157' + '\061' + '\061', 12929 - 12921), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\x33' + chr(0b110100), 13154 - 13146), ehT0Px3KOsy9('\x30' + '\157' + chr(1213 - 1160) + chr(0b100101 + 0o16), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2365 - 2315) + chr(0b110110) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1111 - 1061) + chr(0b101010 + 0o13) + '\x33', 8), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(2295 - 2240) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b100111 + 0o12) + chr(1025 - 976) + chr(0b0 + 0o66), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\x35' + chr(0b1111 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(0b1100 + 0o47) + chr(0b110000) + '\x33', 37878 - 37870), ehT0Px3KOsy9(chr(2302 - 2254) + '\x6f' + '\x33' + chr(2357 - 2308) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b110010) + chr(277 - 228), 42118 - 42110), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\062' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100111 + 0o10) + chr(0b1011 + 0o47) + chr(2290 - 2242) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110000) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111 + 0o0) + '\061' + '\066' + chr(0b11010 + 0o33), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(52) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1905 - 1855) + chr(0b10110 + 0o40), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(5215 - 5104) + chr(53) + '\064', 45082 - 45074), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2002 - 1952) + '\066' + chr(898 - 844), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010 + 0o145) + chr(0b10010 + 0o37) + chr(0b110100) + chr(483 - 430), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\065' + '\x30', 2785 - 2777), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(2350 - 2301) + chr(53) + chr(0b11000 + 0o31), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(51) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12269 - 12158) + chr(49) + '\065' + chr(0b11 + 0o64), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000 + 0o147) + chr(0b110010) + '\x30' + chr(1003 - 949), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x31' + chr(174 - 120), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100001 + 0o20) + chr(52) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(2297 - 2249) + '\x6f' + '\062' + chr(945 - 896) + chr(1879 - 1824), 0o10), ehT0Px3KOsy9(chr(1441 - 1393) + '\x6f' + chr(1695 - 1644) + chr(0b11111 + 0o27), 38069 - 38061), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\063' + chr(2381 - 2326), 0o10), ehT0Px3KOsy9(chr(1024 - 976) + chr(0b1101111) + chr(0b101101 + 0o5) + '\060' + chr(0b100001 + 0o20), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(4993 - 4882) + chr(0b110101) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x81'), '\x64' + '\145' + chr(0b1011010 + 0o11) + chr(111) + chr(100) + chr(0b1100101))('\165' + chr(116) + chr(3163 - 3061) + '\055' + chr(0b10101 + 0o43)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def G0V856pwkJmZ(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xa0\xa6'), chr(0b1000010 + 0o42) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(101))(chr(0b1110101) + chr(0b1011111 + 0o25) + chr(6300 - 6198) + chr(1919 - 1874) + '\070')) is not None and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xad\xa2\x08\xcdGi'), chr(0b1100100) + chr(5252 - 5151) + chr(0b10111 + 0o114) + '\157' + '\144' + chr(3562 - 3461))(chr(0b1110101) + '\164' + '\x66' + chr(1678 - 1633) + '\x38')):
xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xad\xa2\x08\xcdGi'), '\144' + '\145' + '\143' + chr(6069 - 5958) + '\x64' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + '\x2d' + chr(1693 - 1637)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xa0\xa6'), '\144' + chr(0b1001000 + 0o35) + '\x63' + chr(111) + chr(3941 - 3841) + chr(0b11 + 0o142))(chr(0b1110101) + chr(9995 - 9879) + chr(0b11110 + 0o110) + chr(1530 - 1485) + chr(0b111000))))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\xa4\xa4\x1a\xf4Im\x81\xe6a\xc3C\xd2\xc5\x19"\xcb'), '\x64' + chr(0b11 + 0o142) + chr(0b1001000 + 0o33) + chr(10627 - 10516) + chr(0b1100100) + chr(101))(chr(12156 - 12039) + chr(0b111100 + 0o70) + chr(996 - 894) + chr(0b1111 + 0o36) + '\070')) != xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\xaa\xbb\x02\xf4Dz\x90\xf7'), '\x64' + chr(0b1100101) + chr(0b1000101 + 0o36) + chr(5551 - 5440) + chr(0b111000 + 0o54) + '\x65')('\165' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b111000)) or xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xa6\xb6\r\xc3NS\x91\xe4}\xfd'), chr(0b1010101 + 0o17) + chr(0b1100101) + chr(3313 - 3214) + chr(111) + chr(0b100110 + 0o76) + chr(3653 - 3552))(chr(0b10001 + 0o144) + chr(8324 - 8208) + chr(0b1100110) + chr(45) + chr(0b1110 + 0o52))) is None:
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xa8\xb0\x1c\xceH'), '\144' + chr(834 - 733) + '\143' + chr(0b1100011 + 0o14) + '\144' + '\x65')(chr(9544 - 9427) + chr(0b1001101 + 0o47) + '\146' + chr(0b100 + 0o51) + '\x38')) is not None:
xafqLlk3kkUe(oVre8I6UXc3b.imgrec, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\xa0\xa4\x0b\xdf'), chr(0b1100100) + '\145' + '\x63' + '\x6f' + '\x64' + chr(0b11100 + 0o111))('\165' + chr(0b1110100) + chr(5331 - 5229) + chr(319 - 274) + chr(56)))()
oVre8I6UXc3b.wL6S4kgnTowq = ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + chr(0b110000), 0o10)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xa4\xbb\x02\xc4\\S\x87\xe0h\xf8'), chr(0b1010100 + 0o20) + chr(0b10001 + 0o124) + chr(99) + chr(0b1101111) + chr(8172 - 8072) + chr(7671 - 7570))(chr(117) + chr(0b1110100) + chr(8073 - 7971) + chr(45) + chr(0b10000 + 0o50))) is ehT0Px3KOsy9(chr(1494 - 1446) + '\157' + '\060', 8):
oVre8I6UXc3b.ufnxTaN45fvC = ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1262 - 1213), 0o10)
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
ImageIter.hard_reset
|
def hard_reset(self):
"""Resets the iterator and ignore roll over data"""
if self.seq is not None and self.shuffle:
random.shuffle(self.seq)
if self.imgrec is not None:
self.imgrec.reset()
self.cur = 0
self._allow_read = True
self._cache_data = None
self._cache_label = None
self._cache_idx = None
|
python
|
def hard_reset(self):
"""Resets the iterator and ignore roll over data"""
if self.seq is not None and self.shuffle:
random.shuffle(self.seq)
if self.imgrec is not None:
self.imgrec.reset()
self.cur = 0
self._allow_read = True
self._cache_data = None
self._cache_label = None
self._cache_idx = None
|
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"(",
")",
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"_cache_label",
"=",
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"=",
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] |
Resets the iterator and ignore roll over data
|
[
"Resets",
"the",
"iterator",
"and",
"ignore",
"roll",
"over",
"data"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L1290-L1300
|
train
|
Resets the iterator and ignore roll over 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(0b0 + 0o60) + chr(6161 - 6050) + '\061' + chr(0b110111) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4504 - 4393) + chr(54) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(0b1 + 0o61) + chr(0b11000 + 0o34) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(0b110011) + chr(0b110111) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(75 - 25) + chr(2595 - 2543) + chr(0b110001 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55) + '\065', 0o10), ehT0Px3KOsy9(chr(123 - 75) + chr(0b1101111) + chr(0b110010) + '\x37' + chr(0b110101), 17340 - 17332), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\064' + chr(0b101010 + 0o10), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101 + 0o56) + chr(0b110110) + chr(0b1 + 0o57), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100001 + 0o22) + '\x37' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3625 - 3514) + '\x31' + chr(0b110001) + chr(0b11100 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b110101) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + '\061' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(850 - 801) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(53) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(9724 - 9613) + chr(0b110010) + '\x35' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1787 - 1739) + chr(0b1010000 + 0o37) + chr(0b110011) + chr(50) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(52) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100000 + 0o21) + '\066' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(1454 - 1402) + '\062', 4830 - 4822), ehT0Px3KOsy9(chr(2291 - 2243) + chr(9082 - 8971) + chr(49) + chr(0b1110 + 0o45) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(0b110100) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(0b10110 + 0o40), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(2344 - 2294) + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b101101 + 0o4) + '\067', 14980 - 14972), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b110011) + chr(0b0 + 0o62), 0o10), ehT0Px3KOsy9(chr(1426 - 1378) + chr(0b1101111) + chr(49) + '\x31' + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b110010) + chr(0b1100 + 0o51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100 + 0o56) + chr(53) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001000 + 0o47) + chr(51) + chr(1927 - 1877), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\x35', 20751 - 20743), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(0b11011 + 0o30) + '\x32' + chr(0b100111 + 0o12), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(534 - 484) + '\061' + '\060', 0o10), ehT0Px3KOsy9(chr(2266 - 2218) + chr(0b1101011 + 0o4) + chr(1476 - 1426) + chr(49) + chr(1487 - 1432), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1690 - 1642) + chr(0b110001 + 0o76) + chr(0b11101 + 0o24) + chr(0b110110) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10101 + 0o34) + '\x32' + chr(950 - 898), 38667 - 38659), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1111 + 0o43) + chr(0b101010 + 0o6) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(303 - 192) + chr(50) + chr(50) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\064', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b110101) + chr(130 - 82), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'T'), chr(4713 - 4613) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(4298 - 4198) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(4105 - 4003) + chr(45) + chr(331 - 275)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MpTO738ly4CZ(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\tR\xd4'), chr(0b1100100) + '\x65' + chr(99) + chr(111) + chr(0b1101 + 0o127) + chr(101))(chr(0b1001011 + 0o52) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b111000))) is not None and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\t_\xd0\x9a\xc4Q\xd8'), '\144' + '\145' + chr(0b101100 + 0o67) + chr(111) + chr(0b1010111 + 0o15) + '\145')(chr(0b1110101) + '\x74' + chr(0b111110 + 0o50) + chr(169 - 124) + chr(56))):
xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'\t_\xd0\x9a\xc4Q\xd8'), '\x64' + chr(0b11001 + 0o114) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(101))(chr(8739 - 8622) + chr(0b1110100) + '\x66' + '\055' + chr(2643 - 2587)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\tR\xd4'), '\x64' + '\x65' + '\x63' + '\x6f' + '\144' + '\x65')('\165' + '\164' + chr(0b1100110) + chr(0b101101) + '\070')))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13Z\xc2\x8e\xc7^'), '\144' + chr(101) + chr(99) + chr(111) + '\144' + '\x65')('\165' + chr(0b1110100) + chr(102) + chr(1359 - 1314) + chr(56))) is not None:
xafqLlk3kkUe(oVre8I6UXc3b.imgrec, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08R\xd6\x99\xd6'), chr(1880 - 1780) + chr(582 - 481) + chr(6527 - 6428) + chr(0b1000100 + 0o53) + '\144' + chr(0b101001 + 0o74))(chr(117) + chr(116) + chr(6372 - 6270) + chr(675 - 630) + chr(2116 - 2060)))()
oVre8I6UXc3b.wL6S4kgnTowq = ehT0Px3KOsy9(chr(48) + chr(0b110100 + 0o73) + chr(1861 - 1813), 0b1000)
oVre8I6UXc3b.ufnxTaN45fvC = ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10100 + 0o35), ord("\x08"))
oVre8I6UXc3b.PvK7KjXoAB4X = None
oVre8I6UXc3b.k0NIRuepbFJp = None
oVre8I6UXc3b._vu2rIGEEHin = None
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
ImageIter.next_sample
|
def next_sample(self):
"""Helper function for reading in next sample."""
if self._allow_read is False:
raise StopIteration
if self.seq is not None:
if self.cur < self.num_image:
idx = self.seq[self.cur]
else:
if self.last_batch_handle != 'discard':
self.cur = 0
raise StopIteration
self.cur += 1
if self.imgrec is not None:
s = self.imgrec.read_idx(idx)
header, img = recordio.unpack(s)
if self.imglist is None:
return header.label, img
else:
return self.imglist[idx][0], img
else:
label, fname = self.imglist[idx]
return label, self.read_image(fname)
else:
s = self.imgrec.read()
if s is None:
if self.last_batch_handle != 'discard':
self.imgrec.reset()
raise StopIteration
header, img = recordio.unpack(s)
return header.label, img
|
python
|
def next_sample(self):
"""Helper function for reading in next sample."""
if self._allow_read is False:
raise StopIteration
if self.seq is not None:
if self.cur < self.num_image:
idx = self.seq[self.cur]
else:
if self.last_batch_handle != 'discard':
self.cur = 0
raise StopIteration
self.cur += 1
if self.imgrec is not None:
s = self.imgrec.read_idx(idx)
header, img = recordio.unpack(s)
if self.imglist is None:
return header.label, img
else:
return self.imglist[idx][0], img
else:
label, fname = self.imglist[idx]
return label, self.read_image(fname)
else:
s = self.imgrec.read()
if s is None:
if self.last_batch_handle != 'discard':
self.imgrec.reset()
raise StopIteration
header, img = recordio.unpack(s)
return header.label, img
|
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] |
Helper function for reading in next sample.
|
[
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"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L1302-L1331
|
train
|
Helper function for reading in next sample.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\x33' + chr(0b1 + 0o62), 789 - 781), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(49) + chr(49) + chr(0b101000 + 0o12), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + chr(916 - 867) + chr(0b110011) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000001 + 0o56) + chr(0b100100 + 0o23) + chr(0b100010 + 0o20), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1201 - 1150) + '\060' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101111 + 0o4) + '\060' + '\x37', 29737 - 29729), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b1 + 0o60) + '\x35' + chr(0b101000 + 0o13), 21995 - 21987), ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + '\063' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(748 - 698) + '\x37' + '\065', 36631 - 36623), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x30' + chr(0b101010 + 0o7), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110000 + 0o5) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(3687 - 3576) + chr(1312 - 1263) + chr(49) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + chr(0b110011) + '\067' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4346 - 4235) + chr(0b110001) + chr(0b110 + 0o61) + '\x31', 0o10), ehT0Px3KOsy9(chr(1963 - 1915) + chr(0b1101111) + chr(49) + chr(322 - 271) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(8195 - 8084) + chr(0b100000 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + chr(0b11011 + 0o26) + '\064' + chr(48), 39904 - 39896), ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(0b110011 + 0o0) + chr(0b11100 + 0o24) + chr(0b11111 + 0o27), 0b1000), ehT0Px3KOsy9(chr(1324 - 1276) + '\157' + chr(0b110010) + chr(0b101000 + 0o14) + '\x37', 0o10), ehT0Px3KOsy9(chr(837 - 789) + chr(0b1101111) + '\063' + '\067' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(647 - 536) + chr(691 - 641) + chr(0b10111 + 0o34) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1001 + 0o51) + chr(0b110100) + '\062', 32830 - 32822), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(50) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(2030 - 1981) + '\061' + chr(0b1101 + 0o51), 26982 - 26974), ehT0Px3KOsy9(chr(48) + '\157' + chr(2383 - 2333) + '\x37' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\x33' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100010 + 0o20) + chr(2007 - 1952) + chr(2333 - 2282), 46632 - 46624), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\x32' + chr(0b101100 + 0o11), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32', 8), ehT0Px3KOsy9(chr(362 - 314) + chr(0b10110 + 0o131) + '\062' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(825 - 714) + chr(51) + chr(0b10000 + 0o46) + '\066', 31098 - 31090), ehT0Px3KOsy9('\060' + chr(111) + '\x37' + chr(0b100000 + 0o27), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(2478 - 2423), 0o10), ehT0Px3KOsy9(chr(1646 - 1598) + chr(0b101011 + 0o104) + '\x33' + chr(2850 - 2796) + chr(148 - 97), 18225 - 18217), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\062' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b110100) + chr(0b1101 + 0o46), 26226 - 26218), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + '\x31' + '\x32' + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(0b110100) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(3232 - 3121) + chr(51) + chr(49) + chr(0b110010), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + chr(48), 41440 - 41432)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'u'), chr(741 - 641) + '\x65' + chr(0b1011 + 0o130) + chr(5865 - 5754) + chr(0b111111 + 0o45) + chr(0b11 + 0o142))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b10111 + 0o26) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def rLx8RQupvoI3(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b".,2B\x91\xa6%/\x88'\x98\x0f"), '\x64' + chr(2623 - 2522) + '\143' + chr(0b1101111) + chr(3141 - 3041) + '\145')(chr(12512 - 12395) + '\x74' + '\x66' + '\x2d' + chr(56))) is ehT0Px3KOsy9('\060' + '\157' + '\x30', 8):
raise hr2QaoivbFQ2
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'(/-'), '\144' + chr(9141 - 9040) + '\143' + chr(0b1101111) + chr(100) + chr(0b100010 + 0o103))(chr(0b1101110 + 0o7) + chr(0b110 + 0o156) + '\146' + chr(1719 - 1674) + '\x38')) is not None:
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b',\x06ji\xf1\xac\x0cu\xe9.\x99='), '\x64' + '\145' + '\x63' + '\x6f' + chr(100) + chr(101))(chr(117) + chr(0b1110100) + chr(102) + '\055' + '\x38')) < xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'5?1e\xac\xaa\n|\xd8'), '\144' + chr(101) + '\x63' + chr(111) + '\144' + '\145')(chr(12507 - 12390) + '\164' + '\x66' + chr(45) + chr(56))):
YlqusYB6InkM = oVre8I6UXc3b.seq[oVre8I6UXc3b.wL6S4kgnTowq]
else:
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'7+/N\x9a\xa5\no\xde)\xb1$\x9a\x17=n\x05'), '\144' + chr(7276 - 7175) + '\x63' + chr(111) + chr(0b1011111 + 0o5) + '\145')(chr(11779 - 11662) + chr(0b1010000 + 0o44) + chr(0b11 + 0o143) + '\x2d' + '\070')) != xafqLlk3kkUe(SXOLrMavuUCe(b'?#/Y\xa4\xb5\x0f'), chr(4547 - 4447) + chr(0b1000100 + 0o41) + chr(0b1100011 + 0o0) + '\x6f' + chr(3925 - 3825) + '\x65')(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + chr(56)):
oVre8I6UXc3b.wL6S4kgnTowq = ehT0Px3KOsy9('\x30' + chr(9778 - 9667) + '\x30', 8)
raise hr2QaoivbFQ2
oVre8I6UXc3b.wL6S4kgnTowq += ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 44862 - 44854)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"2';H\xa0\xa4"), chr(100) + '\145' + '\x63' + chr(0b1101100 + 0o3) + chr(9552 - 9452) + '\145')(chr(0b10011 + 0o142) + chr(0b10001 + 0o143) + chr(0b111000 + 0o56) + chr(45) + '\x38')) is not None:
vGrByMSYMp9h = oVre8I6UXc3b.imgrec.read_idx(YlqusYB6InkM)
(ZmHK8Erhdn3m, s63jeLEbd8fs) = l2jUQGP3XHba.unpack(vGrByMSYMp9h)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"2';V\xac\xb4\x1f"), '\x64' + chr(0b100000 + 0o105) + chr(0b101101 + 0o66) + '\x6f' + chr(100) + chr(0b1100101))('\165' + chr(116) + chr(102) + '\055' + chr(0b100010 + 0o26))) is None:
return (xafqLlk3kkUe(ZmHK8Erhdn3m, xafqLlk3kkUe(SXOLrMavuUCe(b"\x0f\x18\tu\x89\x81'n\xf9q\xd64"), '\x64' + chr(101) + chr(6872 - 6773) + '\157' + chr(0b1010010 + 0o22) + chr(101))('\165' + chr(8366 - 8250) + chr(102) + '\055' + chr(56))), s63jeLEbd8fs)
else:
return (xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"2';V\xac\xb4\x1f"), chr(100) + chr(0b1100101) + chr(0b1001000 + 0o33) + '\x6f' + chr(0b1100100) + chr(101))('\165' + chr(0b110001 + 0o103) + chr(0b100111 + 0o77) + chr(45) + chr(1628 - 1572)))[YlqusYB6InkM][ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + chr(48), 8)], s63jeLEbd8fs)
else:
(TRUOLFLuD08x, t3WbF0Ae42Pu) = oVre8I6UXc3b.imglist[YlqusYB6InkM]
return (TRUOLFLuD08x, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b')/=^\x9a\xae\x06z\xda$'), chr(100) + chr(3239 - 3138) + chr(6209 - 6110) + '\x6f' + chr(2238 - 2138) + chr(101))(chr(5200 - 5083) + chr(8402 - 8286) + chr(6504 - 6402) + '\055' + chr(0b111000)))(t3WbF0Ae42Pu))
else:
vGrByMSYMp9h = oVre8I6UXc3b.imgrec.U6MiWrhuCi2Y()
if vGrByMSYMp9h is None:
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'7+/N\x9a\xa5\no\xde)\xb1$\x9a\x17=n\x05'), chr(0b111111 + 0o45) + '\145' + '\143' + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + chr(0b101101 + 0o107) + chr(6037 - 5935) + '\x2d' + '\070')) != xafqLlk3kkUe(SXOLrMavuUCe(b'?#/Y\xa4\xb5\x0f'), chr(0b0 + 0o144) + '\x65' + chr(0b1100011) + chr(5385 - 5274) + '\144' + chr(4029 - 3928))(chr(13177 - 13060) + chr(0b1110100) + chr(9330 - 9228) + chr(45) + chr(0b110110 + 0o2)):
xafqLlk3kkUe(oVre8I6UXc3b.imgrec, xafqLlk3kkUe(SXOLrMavuUCe(b')//_\xb1'), chr(100) + chr(0b1100101) + chr(0b11110 + 0o105) + chr(0b101010 + 0o105) + chr(1614 - 1514) + chr(0b111 + 0o136))('\x75' + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b11001 + 0o37)))()
raise hr2QaoivbFQ2
(ZmHK8Erhdn3m, s63jeLEbd8fs) = l2jUQGP3XHba.unpack(vGrByMSYMp9h)
return (xafqLlk3kkUe(ZmHK8Erhdn3m, xafqLlk3kkUe(SXOLrMavuUCe(b"\x0f\x18\tu\x89\x81'n\xf9q\xd64"), chr(0b10001 + 0o123) + '\x65' + chr(99) + chr(0b111100 + 0o63) + chr(0b1100100) + '\145')('\165' + chr(116) + chr(102) + chr(991 - 946) + chr(56))), s63jeLEbd8fs)
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
ImageIter._batchify
|
def _batchify(self, batch_data, batch_label, start=0):
"""Helper function for batchifying data"""
i = start
batch_size = self.batch_size
try:
while i < batch_size:
label, s = self.next_sample()
data = self.imdecode(s)
try:
self.check_valid_image(data)
except RuntimeError as e:
logging.debug('Invalid image, skipping: %s', str(e))
continue
data = self.augmentation_transform(data)
assert i < batch_size, 'Batch size must be multiples of augmenter output length'
batch_data[i] = self.postprocess_data(data)
batch_label[i] = label
i += 1
except StopIteration:
if not i:
raise StopIteration
return i
|
python
|
def _batchify(self, batch_data, batch_label, start=0):
"""Helper function for batchifying data"""
i = start
batch_size = self.batch_size
try:
while i < batch_size:
label, s = self.next_sample()
data = self.imdecode(s)
try:
self.check_valid_image(data)
except RuntimeError as e:
logging.debug('Invalid image, skipping: %s', str(e))
continue
data = self.augmentation_transform(data)
assert i < batch_size, 'Batch size must be multiples of augmenter output length'
batch_data[i] = self.postprocess_data(data)
batch_label[i] = label
i += 1
except StopIteration:
if not i:
raise StopIteration
return i
|
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Helper function for batchifying data
|
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"Helper",
"function",
"for",
"batchifying",
"data"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L1333-L1354
|
train
|
Helper function for batchifying 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) + '\x31' + chr(1626 - 1577) + chr(1281 - 1233), 3797 - 3789), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b110011) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(0b110001) + '\063' + chr(0b110101), 2927 - 2919), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b100000 + 0o22) + chr(1237 - 1185), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100001 + 0o21) + chr(0b10110 + 0o33) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + '\062' + chr(50) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(846 - 796) + chr(0b110011) + '\065', 0b1000), ehT0Px3KOsy9(chr(753 - 705) + chr(0b111000 + 0o67) + '\x31' + '\065' + chr(0b100100 + 0o20), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + '\062' + '\x31' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1011 + 0o144) + '\061' + '\x31' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(454 - 404) + chr(0b100101 + 0o16) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1 + 0o156) + chr(0b101001 + 0o15) + chr(0b110111), 6310 - 6302), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2755 - 2701) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\064' + chr(1709 - 1661), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + '\063' + chr(1525 - 1471) + chr(2921 - 2866), 0o10), ehT0Px3KOsy9(chr(1048 - 1000) + chr(0b1011010 + 0o25) + '\063' + chr(2405 - 2353) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(1551 - 1500) + chr(54), 44757 - 44749), ehT0Px3KOsy9(chr(432 - 384) + '\x6f' + '\067' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(51) + chr(2349 - 2295) + chr(0b101111 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + '\063' + chr(0b110100) + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(52) + chr(0b110001 + 0o0), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10101 + 0o36) + chr(0b100111 + 0o12) + chr(2265 - 2217), 0b1000), ehT0Px3KOsy9('\060' + chr(0b101011 + 0o104) + '\064' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(1241 - 1191) + chr(0b100001 + 0o25) + '\x34', 55515 - 55507), ehT0Px3KOsy9(chr(0b110000) + chr(9397 - 9286) + chr(0b100011 + 0o20) + '\062' + chr(0b110101), 13129 - 13121), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110101) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b110101) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b11011 + 0o124) + chr(0b110010) + '\x33' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(2116 - 2067), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2148 - 2098) + '\x31' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001111 + 0o40) + chr(0b110001) + chr(0b10101 + 0o33) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5575 - 5464) + chr(684 - 630) + chr(0b1101 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + chr(0b110011) + '\065' + chr(0b10001 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(2297 - 2249) + '\x6f' + '\065' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(53) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(403 - 292) + chr(0b101101 + 0o4) + chr(0b110001) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b100110 + 0o20) + '\x33', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + '\063' + '\067' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b1 + 0o61) + chr(0b101011 + 0o12) + chr(0b110000), 7293 - 7285), ehT0Px3KOsy9(chr(683 - 635) + '\157' + chr(0b11101 + 0o25) + chr(0b10001 + 0o43) + '\060', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b101111 + 0o100) + chr(1704 - 1651) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'f'), chr(0b1100000 + 0o4) + '\145' + chr(99) + chr(0b1101111) + chr(0b1010111 + 0o15) + chr(101))(chr(117) + chr(7167 - 7051) + chr(102) + chr(45) + chr(0b110110 + 0o2)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Y5Sh6NMS3XKP(oVre8I6UXc3b, EApHIBTKlRG9, o6iXPOplNHwJ, avRbFsnfJxQj=ehT0Px3KOsy9('\x30' + chr(2139 - 2028) + chr(0b11001 + 0o27), 0o10)):
WVxHKyX45z_L = avRbFsnfJxQj
ix9dZyeAmUxY = oVre8I6UXc3b.ix9dZyeAmUxY
try:
while WVxHKyX45z_L < ix9dZyeAmUxY:
(TRUOLFLuD08x, vGrByMSYMp9h) = oVre8I6UXc3b.rLx8RQupvoI3()
ULnjp6D6efFH = oVre8I6UXc3b.imdecode(vGrByMSYMp9h)
try:
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'+\xb18\xb7\xe6\xc9\xeb\r\xe0$\xfbhY\xcd\x96\x82;'), '\x64' + chr(101) + chr(2658 - 2559) + chr(0b110001 + 0o76) + '\144' + chr(101))('\165' + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b111000)))(ULnjp6D6efFH)
except n0ZkatoveZpF as GlnVAPeT6CUe:
xafqLlk3kkUe(UeotCCWOPSQS, xafqLlk3kkUe(SXOLrMavuUCe(b',\xbc?\xa1\xea'), chr(9937 - 9837) + '\x65' + chr(0b110101 + 0o56) + chr(10178 - 10067) + chr(2812 - 2712) + chr(0b1011110 + 0o7))('\x75' + chr(116) + chr(0b1000110 + 0o40) + chr(49 - 4) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xb7+\xb5\xe1\xff\xf9L\xe5 \xfePU\x8c\xd7\x965R\x83\x95\x08\xa6D\x8e\xf5\xcbM\xe9'), chr(2124 - 2024) + '\x65' + chr(0b1010111 + 0o14) + chr(334 - 223) + chr(100) + chr(101))(chr(0b1010010 + 0o43) + chr(116) + chr(0b1100110) + chr(45) + chr(56)), M8_cKLkHVB2V(GlnVAPeT6CUe))
continue
ULnjp6D6efFH = oVre8I6UXc3b.augmentation_transform(ULnjp6D6efFH)
assert WVxHKyX45z_L < ix9dZyeAmUxY, xafqLlk3kkUe(SXOLrMavuUCe(b'\n\xb8)\xb7\xe5\xb6\xee\x05\xf6(\xbfZE\xd3\x83\xc5<^\xd3\x88\x14\xa4W\xdd\xa5\x87\r\xe9\t\xe0 \x12\x88^K&\x96\x94\xdc\xc5:\xf92\xa1\xf9\xe6\xe8\x18\xac!\xfaYW\xd4\x9f'), chr(4102 - 4002) + '\x65' + chr(0b1000111 + 0o34) + chr(111) + chr(8316 - 8216) + chr(101))('\x75' + chr(2376 - 2260) + chr(9495 - 9393) + chr(0b11111 + 0o16) + chr(2937 - 2881))
EApHIBTKlRG9[WVxHKyX45z_L] = oVre8I6UXc3b.postprocess_data(ULnjp6D6efFH)
o6iXPOplNHwJ[WVxHKyX45z_L] = TRUOLFLuD08x
WVxHKyX45z_L += ehT0Px3KOsy9(chr(0b110000) + chr(0b11100 + 0o123) + '\x31', 0b1000)
except hr2QaoivbFQ2:
if not WVxHKyX45z_L:
raise hr2QaoivbFQ2
return WVxHKyX45z_L
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
ImageIter.imdecode
|
def imdecode(self, s):
"""Decodes a string or byte string to an NDArray.
See mx.img.imdecode for more details."""
def locate():
"""Locate the image file/index if decode fails."""
if self.seq is not None:
idx = self.seq[(self.cur % self.num_image) - 1]
else:
idx = (self.cur % self.num_image) - 1
if self.imglist is not None:
_, fname = self.imglist[idx]
msg = "filename: {}".format(fname)
else:
msg = "index: {}".format(idx)
return "Broken image " + msg
try:
img = imdecode(s)
except Exception as e:
raise RuntimeError("{}, {}".format(locate(), e))
return img
|
python
|
def imdecode(self, s):
"""Decodes a string or byte string to an NDArray.
See mx.img.imdecode for more details."""
def locate():
"""Locate the image file/index if decode fails."""
if self.seq is not None:
idx = self.seq[(self.cur % self.num_image) - 1]
else:
idx = (self.cur % self.num_image) - 1
if self.imglist is not None:
_, fname = self.imglist[idx]
msg = "filename: {}".format(fname)
else:
msg = "index: {}".format(idx)
return "Broken image " + msg
try:
img = imdecode(s)
except Exception as e:
raise RuntimeError("{}, {}".format(locate(), e))
return img
|
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Decodes a string or byte string to an NDArray.
See mx.img.imdecode for more details.
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L1409-L1428
|
train
|
Decodes a string or byte string to an NDArray.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b110010) + chr(55) + '\x31', 14422 - 14414), ehT0Px3KOsy9(chr(1918 - 1870) + '\x6f' + chr(0b101100 + 0o7) + chr(0b110001) + chr(0b10100 + 0o42), 48145 - 48137), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100011 + 0o20) + '\x31' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1002 - 954) + chr(0b1101111) + chr(50) + chr(336 - 284) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b11001 + 0o34), 61562 - 61554), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(51) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\065' + chr(1699 - 1645), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(11756 - 11645) + '\x31' + chr(0b110010) + chr(0b111 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(0b11100 + 0o27) + chr(48) + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(3880 - 3769) + '\x37' + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b0 + 0o65) + chr(2574 - 2521), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b11100 + 0o33) + chr(0b11000 + 0o37), 8), ehT0Px3KOsy9(chr(1996 - 1948) + '\157' + chr(50) + chr(268 - 219) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b110101) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\060' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(53) + chr(1952 - 1904), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + '\x32' + chr(901 - 848), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + '\x31' + chr(0b110100) + chr(0b11001 + 0o32), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11 + 0o63) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1771 - 1722) + chr(0b100101 + 0o13) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(1680 - 1569) + chr(0b11000 + 0o32) + chr(50) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(54) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(1814 - 1703) + '\x32' + '\066' + chr(0b10010 + 0o42), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111000 + 0o67) + '\x33' + chr(0b110110) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b101100 + 0o5) + chr(0b101100 + 0o4), 0o10), ehT0Px3KOsy9(chr(803 - 755) + '\157' + chr(0b11100 + 0o27) + '\x34' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1010010 + 0o35) + '\062' + '\062' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7900 - 7789) + '\x31' + chr(0b11110 + 0o26) + chr(0b10101 + 0o33), 3742 - 3734), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(49) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1047 - 999) + '\x6f' + chr(0b10010 + 0o41) + chr(995 - 945) + chr(2502 - 2451), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(5018 - 4907) + '\x32' + chr(0b110010) + '\x33', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(54) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b110001) + '\x33', 60592 - 60584), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000100 + 0o53) + '\x31' + chr(2236 - 2185) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(51) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b101000 + 0o14) + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b100000 + 0o27) + chr(0b110001), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110111) + '\065', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1119 - 1071) + chr(1625 - 1514) + chr(53) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x97'), chr(100) + chr(101) + '\143' + chr(111) + '\x64' + chr(0b1100101))(chr(117) + chr(0b1011000 + 0o34) + chr(102) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def u609nKcy9gUj(oVre8I6UXc3b, vGrByMSYMp9h):
def YIfa5j9a6OqD():
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xab\xb9'), '\144' + '\x65' + '\143' + chr(6417 - 6306) + '\144' + '\145')(chr(0b1110101) + chr(10987 - 10871) + chr(102) + chr(0b101101) + '\070')) is not None:
YlqusYB6InkM = oVre8I6UXc3b.seq[oVre8I6UXc3b.wL6S4kgnTowq % oVre8I6UXc3b.num_image - ehT0Px3KOsy9('\060' + chr(0b1000000 + 0o57) + chr(1199 - 1150), ord("\x08"))]
else:
YlqusYB6InkM = oVre8I6UXc3b.wL6S4kgnTowq % oVre8I6UXc3b.num_image - ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1001 + 0o50), 8)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\xa3\xaf\xc8d\xad\x9a'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1000111 + 0o50) + chr(0b1000101 + 0o37) + chr(0b1100101))('\x75' + chr(10382 - 10266) + '\x66' + chr(45) + '\x38')) is not None:
(VNGQdHSFPrso, t3WbF0Ae42Pu) = oVre8I6UXc3b.imglist[YlqusYB6InkM]
jtbovtaIYjRB = xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\xa7\xa4\xc1c\xbf\x832\xfb\x1f\xd6B'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b1010010 + 0o35) + '\144' + chr(9954 - 9853))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(2025 - 1980) + '\070').V4roHaS3Ppej(t3WbF0Ae42Pu)
else:
jtbovtaIYjRB = xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\xa0\xac\xc1u\xe4\xce,\xbc'), '\x64' + chr(2034 - 1933) + '\143' + chr(0b1101111) + chr(0b1011000 + 0o14) + chr(0b1100101))(chr(10759 - 10642) + chr(116) + chr(102) + '\x2d' + chr(0b111000)).V4roHaS3Ppej(YlqusYB6InkM)
return xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xbc\xa7\xcfh\xb0\xce>\xac^\xcaZ\xad'), '\x64' + chr(0b1000011 + 0o42) + chr(0b1100011) + chr(0b1101111) + chr(0b1000001 + 0o43) + chr(0b11111 + 0o106))(chr(0b1110101) + chr(8259 - 8143) + chr(0b1100110) + chr(45) + '\x38') + jtbovtaIYjRB
try:
s63jeLEbd8fs = u609nKcy9gUj(vGrByMSYMp9h)
except jLmadlzMdunT as GlnVAPeT6CUe:
raise n0ZkatoveZpF(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xb3\xe4\x84v\xa3'), chr(0b1000 + 0o134) + chr(9019 - 8918) + '\143' + '\157' + chr(0b1001001 + 0o33) + '\145')(chr(0b1111 + 0o146) + chr(12530 - 12414) + chr(5914 - 5812) + '\x2d' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xfa\xba\xcbE\xbf\xbdd\x91O\xc8U'), chr(9665 - 9565) + chr(0b111000 + 0o55) + '\143' + chr(0b1101111) + '\144' + chr(4313 - 4212))(chr(9425 - 9308) + '\x74' + chr(4356 - 4254) + chr(0b100011 + 0o12) + '\070'))(YIfa5j9a6OqD(), GlnVAPeT6CUe))
return s63jeLEbd8fs
|
apache/incubator-mxnet
|
python/mxnet/image/image.py
|
ImageIter.read_image
|
def read_image(self, fname):
"""Reads an input image `fname` and returns the decoded raw bytes.
Examples
--------
>>> dataIter.read_image('Face.jpg') # returns decoded raw bytes.
"""
with open(os.path.join(self.path_root, fname), 'rb') as fin:
img = fin.read()
return img
|
python
|
def read_image(self, fname):
"""Reads an input image `fname` and returns the decoded raw bytes.
Examples
--------
>>> dataIter.read_image('Face.jpg') # returns decoded raw bytes.
"""
with open(os.path.join(self.path_root, fname), 'rb') as fin:
img = fin.read()
return img
|
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] |
Reads an input image `fname` and returns the decoded raw bytes.
Examples
--------
>>> dataIter.read_image('Face.jpg') # returns decoded raw bytes.
|
[
"Reads",
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"image",
"fname",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/image/image.py#L1430-L1438
|
train
|
Reads an input image fname and returns the decoded raw bytes.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(8289 - 8178) + '\x32' + chr(0b100111 + 0o12) + chr(0b10 + 0o61), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\061' + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + chr(50) + '\063' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(0b110010) + '\066' + '\060', 63254 - 63246), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1101 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(0b1001 + 0o50) + chr(0b110101) + '\067', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + '\062' + chr(1099 - 1044) + chr(0b1011 + 0o47), 0o10), ehT0Px3KOsy9(chr(48) + chr(5828 - 5717) + chr(0b110010) + chr(1461 - 1406) + chr(2409 - 2358), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(456 - 407) + '\063' + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(222 - 173), 22986 - 22978), ehT0Px3KOsy9('\060' + '\x6f' + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b110110 + 0o0) + chr(2039 - 1989), 0o10), ehT0Px3KOsy9(chr(49 - 1) + chr(111) + chr(51) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(286 - 238) + chr(111) + chr(51) + '\x30' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\060' + chr(0b11001 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101110 + 0o4) + '\x32' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + chr(0b10 + 0o57) + chr(1819 - 1767) + '\062', 57431 - 57423), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1 + 0o62) + chr(1777 - 1728) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + chr(0b100010 + 0o25) + chr(0b10100 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + '\061' + '\x35' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(2990 - 2879) + chr(1249 - 1198) + chr(0b11101 + 0o24), 38240 - 38232), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(0b101100 + 0o7) + chr(50) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10759 - 10648) + chr(0b110011) + chr(0b110110) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(2113 - 2065) + '\x6f' + chr(50) + chr(2468 - 2418) + chr(378 - 327), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100000 + 0o17) + '\x32' + chr(0b1101 + 0o52) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101110 + 0o5) + chr(51) + chr(0b110010), 55646 - 55638), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\066' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\x37' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(2112 - 2064) + '\x6f' + chr(0b11001 + 0o31) + chr(0b11010 + 0o35) + chr(0b1010 + 0o50), 8), ehT0Px3KOsy9(chr(1162 - 1114) + chr(4519 - 4408) + chr(51) + chr(0b110000 + 0o6), 0b1000), ehT0Px3KOsy9(chr(342 - 294) + chr(0b11111 + 0o120) + '\062' + chr(1462 - 1413) + chr(0b100110 + 0o15), 8), ehT0Px3KOsy9(chr(48) + chr(7592 - 7481) + chr(0b110010) + chr(0b110110) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\067' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(7722 - 7611) + '\061' + chr(0b101 + 0o55) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b10010 + 0o41) + chr(0b1100 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b100000 + 0o24) + chr(0b10000 + 0o41), 9164 - 9156), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(321 - 269) + chr(0b11110 + 0o31), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b110111), 31355 - 31347), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\x31' + chr(0b0 + 0o67), 0b1000), ehT0Px3KOsy9(chr(2091 - 2043) + '\x6f' + chr(51) + chr(424 - 371) + chr(0b1 + 0o63), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1822 - 1774) + chr(0b1001100 + 0o43) + '\x35' + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5'), chr(100) + chr(6263 - 6162) + chr(99) + '\157' + chr(2350 - 2250) + '\x65')(chr(117) + '\164' + chr(0b1100110) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VPOmLKSXVOYT(oVre8I6UXc3b, t3WbF0Ae42Pu):
with _fwkIVCGgtAN(xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4$\xc8\xe8x\x1b\xec\xf57`M4'), '\144' + '\x65' + chr(5368 - 5269) + chr(111) + '\144' + chr(0b1100101))(chr(0b1011110 + 0o27) + chr(0b1010101 + 0o37) + '\x66' + chr(45) + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb*\xeb\xd8]\x1d\xd5\xd4-'), chr(0b1100100) + chr(8261 - 8160) + '\x63' + chr(8596 - 8485) + chr(7262 - 7162) + chr(101))(chr(117) + chr(0b100001 + 0o123) + chr(7635 - 7533) + chr(47 - 2) + '\070')), t3WbF0Ae42Pu), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9)'), chr(0b11101 + 0o107) + chr(0b1100101) + chr(368 - 269) + chr(2835 - 2724) + chr(0b1000111 + 0o35) + '\x65')(chr(11201 - 11084) + '\164' + '\146' + '\x2d' + chr(0b111000))) as m1t8Ca5e_XLV:
s63jeLEbd8fs = m1t8Ca5e_XLV.U6MiWrhuCi2Y()
return s63jeLEbd8fs
|
apache/incubator-mxnet
|
example/gluon/sn_gan/train.py
|
facc
|
def facc(label, pred):
""" evaluate accuracy """
pred = pred.ravel()
label = label.ravel()
return ((pred > 0.5) == label).mean()
|
python
|
def facc(label, pred):
""" evaluate accuracy """
pred = pred.ravel()
label = label.ravel()
return ((pred > 0.5) == label).mean()
|
[
"def",
"facc",
"(",
"label",
",",
"pred",
")",
":",
"pred",
"=",
"pred",
".",
"ravel",
"(",
")",
"label",
"=",
"label",
".",
"ravel",
"(",
")",
"return",
"(",
"(",
"pred",
">",
"0.5",
")",
"==",
"label",
")",
".",
"mean",
"(",
")"
] |
evaluate accuracy
|
[
"evaluate",
"accuracy"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/sn_gan/train.py#L68-L72
|
train
|
evaluate accuracy
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(2248 - 2197) + chr(0b110001) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(49) + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\060', 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(0b100001 + 0o20) + '\x32' + chr(425 - 377), 3371 - 3363), ehT0Px3KOsy9('\x30' + chr(0b11010 + 0o125) + chr(0b110001) + chr(425 - 372) + '\061', 6426 - 6418), ehT0Px3KOsy9(chr(1909 - 1861) + '\x6f' + '\063' + chr(0b11 + 0o55) + chr(0b1111 + 0o47), 0o10), ehT0Px3KOsy9('\060' + chr(11022 - 10911) + '\x32' + chr(48) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6695 - 6584) + chr(0b110010 + 0o0) + chr(0b11100 + 0o26) + chr(0b11 + 0o55), 53567 - 53559), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\063' + chr(0b110011), 48731 - 48723), ehT0Px3KOsy9('\x30' + chr(0b10101 + 0o132) + chr(438 - 389) + chr(1927 - 1879) + chr(2748 - 2693), 61500 - 61492), ehT0Px3KOsy9('\x30' + chr(2616 - 2505) + chr(1303 - 1251) + '\063', 1635 - 1627), ehT0Px3KOsy9(chr(48) + chr(0b1000001 + 0o56) + chr(0b101101 + 0o4) + chr(55) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\x33' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(0b110011) + chr(0b110100) + chr(0b100111 + 0o12), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(49) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(352 - 304) + chr(0b1101111) + chr(0b101 + 0o56) + chr(0b110011) + '\065', 18367 - 18359), ehT0Px3KOsy9(chr(563 - 515) + '\157' + chr(0b110000 + 0o3) + chr(1428 - 1377) + chr(131 - 83), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4321 - 4210) + '\x35' + chr(0b100101 + 0o13), 0o10), ehT0Px3KOsy9(chr(174 - 126) + chr(111) + chr(0b1011 + 0o47) + chr(53) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(2253 - 2205) + '\x6f' + chr(0b110001) + chr(0b10111 + 0o32) + chr(0b100101 + 0o21), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\065' + '\x30', 0o10), ehT0Px3KOsy9(chr(192 - 144) + chr(111) + chr(0b100111 + 0o17) + chr(0b10101 + 0o35), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010100 + 0o33) + chr(50) + '\x36' + chr(584 - 532), 0b1000), ehT0Px3KOsy9(chr(60 - 12) + chr(0b101 + 0o152) + chr(0b110011) + '\060' + chr(2401 - 2346), 39267 - 39259), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(1006 - 957) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(10425 - 10314) + chr(0b110011) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1811 - 1763) + chr(111) + '\061' + '\066' + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\x30' + chr(425 - 376), 28864 - 28856), ehT0Px3KOsy9('\x30' + chr(4283 - 4172) + chr(1778 - 1728) + '\065' + chr(0b111 + 0o54), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(51) + chr(49) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(51) + '\064' + chr(353 - 304), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\x30', 43598 - 43590), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + '\x33' + '\x36' + '\x37', 9617 - 9609), ehT0Px3KOsy9('\x30' + chr(9378 - 9267) + chr(0b0 + 0o62) + chr(0b11110 + 0o22) + chr(48), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10110 + 0o33) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1364 - 1316) + chr(3511 - 3400) + '\x33' + '\x35', 42070 - 42062), ehT0Px3KOsy9(chr(1532 - 1484) + '\157' + chr(50) + chr(0b110010) + chr(0b11 + 0o55), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101001 + 0o10) + chr(55) + chr(2359 - 2304), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(266 - 213) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4'), chr(7862 - 7762) + chr(0b1100101) + '\x63' + chr(5084 - 4973) + chr(0b10100 + 0o120) + chr(0b1100101))(chr(117) + chr(0b1011111 + 0o25) + '\x66' + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wv8Ugi6Ofcbk(TRUOLFLuD08x, eyamnrN0elUS):
eyamnrN0elUS = eyamnrN0elUS._z3oWn7GMFaN()
TRUOLFLuD08x = TRUOLFLuD08x._z3oWn7GMFaN()
return xafqLlk3kkUe((eyamnrN0elUS > 0.5) == TRUOLFLuD08x, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\x80h\x19\x1d\x85\xdf\xc6\xba0O\x0f'), chr(830 - 730) + chr(0b1100101) + chr(0b10001 + 0o122) + chr(11777 - 11666) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b111100 + 0o70) + chr(0b1100110) + chr(0b101101) + '\x38'))()
|
apache/incubator-mxnet
|
example/gluon/lipnet/utils/common.py
|
word_to_vector
|
def word_to_vector(word):
"""
Convert character vectors to integer vectors.
"""
vector = []
for char in list(word):
vector.append(char2int(char))
return vector
|
python
|
def word_to_vector(word):
"""
Convert character vectors to integer vectors.
"""
vector = []
for char in list(word):
vector.append(char2int(char))
return vector
|
[
"def",
"word_to_vector",
"(",
"word",
")",
":",
"vector",
"=",
"[",
"]",
"for",
"char",
"in",
"list",
"(",
"word",
")",
":",
"vector",
".",
"append",
"(",
"char2int",
"(",
"char",
")",
")",
"return",
"vector"
] |
Convert character vectors to integer vectors.
|
[
"Convert",
"character",
"vectors",
"to",
"integer",
"vectors",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/lipnet/utils/common.py#L46-L53
|
train
|
Convert a word to a list of integer vectors.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(2187 - 2138) + chr(817 - 769) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1368 - 1318), 0o10), ehT0Px3KOsy9(chr(2284 - 2236) + chr(4652 - 4541) + chr(50) + '\067' + chr(2504 - 2452), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1238 - 1188) + chr(1277 - 1229) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b110001) + chr(0b110010 + 0o2), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + '\061' + '\x34' + chr(2099 - 2045), 0o10), ehT0Px3KOsy9(chr(48) + chr(9954 - 9843) + '\x31' + chr(51) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(430 - 377) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + '\x31' + '\061' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10011 + 0o37) + chr(0b110111) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1466 - 1355) + chr(50) + chr(1939 - 1888) + chr(0b10000 + 0o44), 0o10), ehT0Px3KOsy9(chr(757 - 709) + chr(5756 - 5645) + chr(0b1111 + 0o46) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + '\x35' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1111 + 0o43) + chr(1433 - 1382), 33631 - 33623), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\x31' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2413 - 2302) + '\063' + chr(0b110101) + '\x30', 64792 - 64784), ehT0Px3KOsy9('\060' + chr(111) + chr(1719 - 1670) + chr(0b110001) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(2189 - 2140) + '\x31' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x34' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(51) + chr(55) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1111 + 0o140) + '\x33' + chr(0b100010 + 0o24) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + chr(0b110010) + chr(0b10011 + 0o42) + '\062', 62540 - 62532), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(49) + '\x32' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\061' + chr(0b110101) + chr(1559 - 1504), 48005 - 47997), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11011 + 0o30) + chr(649 - 599) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + '\062' + chr(0b11010 + 0o30) + '\x37', 43632 - 43624), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1265 - 1215) + chr(0b110000) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b110111) + '\x35', 58320 - 58312), ehT0Px3KOsy9(chr(474 - 426) + '\157' + chr(0b110010) + chr(2312 - 2259), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b110001) + chr(48), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b110110) + chr(0b1111 + 0o43), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + '\x33' + chr(54) + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + chr(0b110001) + chr(52) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b111111 + 0o60) + '\061' + chr(0b1001 + 0o51) + '\x33', 17139 - 17131), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b110010) + chr(0b11100 + 0o26) + chr(0b100011 + 0o17), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(0b100 + 0o57) + '\061' + chr(0b100111 + 0o11), 34757 - 34749), ehT0Px3KOsy9('\x30' + chr(11517 - 11406) + chr(0b10100 + 0o35) + chr(0b110010), 37463 - 37455), ehT0Px3KOsy9(chr(0b110000) + chr(2831 - 2720) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b110110) + '\x30', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + '\065' + chr(820 - 772), 13878 - 13870)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'l'), chr(934 - 834) + chr(101) + '\143' + '\x6f' + chr(5754 - 5654) + chr(0b1100101))(chr(0b1101111 + 0o6) + '\x74' + chr(0b1011 + 0o133) + chr(559 - 514) + chr(2514 - 2458)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def PuoVCsBey1Cl(CWnx52wJLqEN):
_TN4tZmqvFR4 = []
for YKFKmmkH7bDH in YyaZ4tpXu4lf(CWnx52wJLqEN):
xafqLlk3kkUe(_TN4tZmqvFR4, xafqLlk3kkUe(SXOLrMavuUCe(b'#r\xcc\xe4\xa2\x02'), chr(0b1100100) + '\145' + chr(0b1100 + 0o127) + chr(0b1101111) + chr(7369 - 7269) + '\x65')('\165' + '\164' + chr(0b1100110) + chr(45) + chr(0b111000)))(e1AIpffuFCrq(YKFKmmkH7bDH))
return _TN4tZmqvFR4
|
apache/incubator-mxnet
|
example/gluon/lipnet/utils/common.py
|
vector_to_word
|
def vector_to_word(vector):
"""
Convert integer vectors to character vectors.
"""
word = ""
for vec in vector:
word = word + int2char(vec)
return word
|
python
|
def vector_to_word(vector):
"""
Convert integer vectors to character vectors.
"""
word = ""
for vec in vector:
word = word + int2char(vec)
return word
|
[
"def",
"vector_to_word",
"(",
"vector",
")",
":",
"word",
"=",
"\"\"",
"for",
"vec",
"in",
"vector",
":",
"word",
"=",
"word",
"+",
"int2char",
"(",
"vec",
")",
"return",
"word"
] |
Convert integer vectors to character vectors.
|
[
"Convert",
"integer",
"vectors",
"to",
"character",
"vectors",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/lipnet/utils/common.py#L56-L63
|
train
|
Convert integer vectors to character vectors.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b101 + 0o54) + chr(2108 - 2059) + chr(0b11101 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(0b10110 + 0o33) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1 + 0o156) + chr(0b11101 + 0o24) + '\067' + chr(447 - 398), 0o10), ehT0Px3KOsy9(chr(48) + chr(829 - 718) + chr(0b100001 + 0o20) + '\061' + chr(415 - 364), 18635 - 18627), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(49) + chr(49), 16199 - 16191), ehT0Px3KOsy9('\060' + chr(1137 - 1026) + '\065' + chr(53), 2325 - 2317), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(0b10010 + 0o40) + chr(53) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(53) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(0b110010) + chr(48) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b1111 + 0o42) + chr(0b110100), 16116 - 16108), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + '\x35' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b110101) + chr(937 - 884), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\066', 0b1000), ehT0Px3KOsy9(chr(2006 - 1958) + chr(3705 - 3594) + '\x33' + '\x30' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(2217 - 2169) + chr(0b1101111) + chr(49) + chr(52) + chr(0b10100 + 0o37), 5893 - 5885), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(2144 - 2089) + '\065', 53476 - 53468), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b110000) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\065' + '\063', 8), ehT0Px3KOsy9('\060' + chr(4912 - 4801) + '\x36' + chr(51), 33624 - 33616), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110111) + '\x33', 38251 - 38243), ehT0Px3KOsy9('\x30' + chr(11148 - 11037) + chr(0b100011 + 0o16) + '\060' + chr(0b110101), 20037 - 20029), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(0b11111 + 0o22) + '\061' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110101) + '\064', 16126 - 16118), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + '\061' + '\x35' + '\067', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(50) + chr(0b100100 + 0o21) + chr(0b110111), 19673 - 19665), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1011 + 0o46) + chr(49) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001011 + 0o44) + '\x33' + '\061' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(52) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11001 + 0o126) + chr(2435 - 2381) + chr(1496 - 1448), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(51) + '\x35', 0o10), ehT0Px3KOsy9(chr(945 - 897) + '\x6f' + chr(50) + '\x32', 25522 - 25514), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(51) + chr(0b110111) + chr(1983 - 1932), 8), ehT0Px3KOsy9(chr(1821 - 1773) + chr(111) + chr(54) + '\x31', 0o10), ehT0Px3KOsy9(chr(262 - 214) + '\x6f' + '\x37' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\062' + chr(0b100001 + 0o25) + chr(53), 20857 - 20849), ehT0Px3KOsy9('\060' + '\157' + chr(1277 - 1224), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(8341 - 8230) + '\x33' + '\x36' + '\065', 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(49) + chr(0b110000), 37603 - 37595), ehT0Px3KOsy9('\x30' + chr(111) + chr(2234 - 2183) + '\060', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(372 - 320) + chr(0b10101 + 0o35), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(2411 - 2300) + '\x35' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'`'), chr(100) + chr(101) + '\x63' + chr(0b100111 + 0o110) + chr(0b1100100) + chr(101))(chr(6208 - 6091) + chr(13130 - 13014) + chr(0b1100110) + chr(45) + chr(2469 - 2413)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def tj4tEfvu6Uj5(_TN4tZmqvFR4):
CWnx52wJLqEN = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1100100) + chr(9476 - 9375) + chr(0b1000011 + 0o40) + '\x6f' + '\x64' + '\145')(chr(0b101011 + 0o112) + chr(116) + chr(102) + '\x2d' + chr(2712 - 2656))
for mct9TEZJu9be in _TN4tZmqvFR4:
CWnx52wJLqEN = CWnx52wJLqEN + yeA_4DUVMOqP(mct9TEZJu9be)
return CWnx52wJLqEN
|
apache/incubator-mxnet
|
example/gluon/lipnet/utils/common.py
|
char_conv
|
def char_conv(out):
"""
Convert integer vectors to character vectors for batch.
"""
out_conv = list()
for i in range(out.shape[0]):
tmp_str = ''
for j in range(out.shape[1]):
if int(out[i][j]) >= 0:
tmp_char = int2char(int(out[i][j]))
if int(out[i][j]) == 27:
tmp_char = ''
tmp_str = tmp_str + tmp_char
out_conv.append(tmp_str)
return out_conv
|
python
|
def char_conv(out):
"""
Convert integer vectors to character vectors for batch.
"""
out_conv = list()
for i in range(out.shape[0]):
tmp_str = ''
for j in range(out.shape[1]):
if int(out[i][j]) >= 0:
tmp_char = int2char(int(out[i][j]))
if int(out[i][j]) == 27:
tmp_char = ''
tmp_str = tmp_str + tmp_char
out_conv.append(tmp_str)
return out_conv
|
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] |
Convert integer vectors to character vectors for batch.
|
[
"Convert",
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"to",
"character",
"vectors",
"for",
"batch",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/lipnet/utils/common.py#L66-L80
|
train
|
Convert integer vectors to character vectors for 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(73 - 25) + '\x6f' + '\x32' + chr(0b110110) + chr(1906 - 1854), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8806 - 8695) + chr(51) + chr(1262 - 1208) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + '\063', 42224 - 42216), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\063' + chr(0b110 + 0o61), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x34', 44102 - 44094), ehT0Px3KOsy9('\060' + '\x6f' + chr(2066 - 2013) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b101100 + 0o6), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(8599 - 8488) + chr(51) + chr(1035 - 987) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1010 + 0o54) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b0 + 0o62) + chr(0b1001 + 0o56), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1100 + 0o46) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5672 - 5561) + '\x32' + '\x36' + chr(0b110100), 8), ehT0Px3KOsy9('\x30' + chr(5561 - 5450) + chr(1734 - 1683) + '\061' + chr(2226 - 2175), 9416 - 9408), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b100101 + 0o13) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + chr(0b1110 + 0o44) + chr(1049 - 994) + chr(0b100111 + 0o15), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(1596 - 1542) + chr(2909 - 2854), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\062' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(1135 - 1087) + chr(0b1011011 + 0o24) + '\062' + chr(0b110101) + chr(51), 30959 - 30951), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(878 - 825) + chr(0b110010), 60939 - 60931), ehT0Px3KOsy9('\060' + chr(5534 - 5423) + chr(810 - 760), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b101011 + 0o7) + '\060' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1544 - 1496) + chr(0b111111 + 0o60) + '\060', 56175 - 56167), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\x33' + chr(408 - 360), 60631 - 60623), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + '\062' + chr(0b100010 + 0o16) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10011 + 0o36) + chr(52) + '\067', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\x33' + '\x32', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(55) + chr(0b101100 + 0o6), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + chr(0b110001) + '\x31' + chr(0b10000 + 0o41), 0b1000), ehT0Px3KOsy9(chr(1981 - 1933) + chr(0b1001011 + 0o44) + '\061' + chr(2016 - 1965), 49017 - 49009), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1011 + 0o50) + chr(0b110010) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(2183 - 2135) + chr(0b1010100 + 0o33) + chr(0b100000 + 0o21) + chr(0b110010) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1359 - 1309) + '\061' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100000 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\064' + chr(0b10110 + 0o36), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + chr(50) + chr(52) + chr(52), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2542 - 2487), 29177 - 29169), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\x31' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(568 - 517) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1608 - 1560) + '\157' + '\x32' + chr(51) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b1011 + 0o50) + chr(0b11011 + 0o25), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(389 - 341) + chr(0b11001 + 0o126) + chr(0b110101) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a'), chr(100) + chr(507 - 406) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b111111 + 0o46))(chr(0b1110101) + chr(116) + chr(8769 - 8667) + chr(0b11010 + 0o23) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NuNpWZvx6e72(UkrMp_I0RDmo):
a7ep9wNcYBbB = YyaZ4tpXu4lf()
for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(UkrMp_I0RDmo, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\x94^\x86ba}\xabcgu\xd6'), chr(100) + '\x65' + chr(3067 - 2968) + '\157' + '\x64' + '\145')(chr(0b1001001 + 0o54) + chr(116) + '\x66' + '\055' + chr(0b111000)))[ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(370 - 322), 8)]):
YNbs_wQ58JI0 = xafqLlk3kkUe(SXOLrMavuUCe(b''), '\144' + '\x65' + '\143' + '\157' + '\x64' + chr(0b101111 + 0o66))(chr(117) + chr(116) + '\146' + '\x2d' + '\x38')
for tlORBuYsiw3X in vQr8gNKaIaWE(xafqLlk3kkUe(UkrMp_I0RDmo, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\x94^\x86ba}\xabcgu\xd6'), chr(2179 - 2079) + chr(5253 - 5152) + '\x63' + chr(111) + chr(0b111101 + 0o47) + chr(6984 - 6883))('\x75' + chr(0b1101100 + 0o10) + chr(0b1100110) + '\055' + chr(0b110100 + 0o4)))[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111 + 0o0) + '\061', 0b1000)]):
if ehT0Px3KOsy9(UkrMp_I0RDmo[WVxHKyX45z_L][tlORBuYsiw3X]) >= ehT0Px3KOsy9('\x30' + chr(7140 - 7029) + chr(0b11110 + 0o22), 8):
vNUkKl4mHydC = yeA_4DUVMOqP(ehT0Px3KOsy9(UkrMp_I0RDmo[WVxHKyX45z_L][tlORBuYsiw3X]))
if ehT0Px3KOsy9(UkrMp_I0RDmo[WVxHKyX45z_L][tlORBuYsiw3X]) == ehT0Px3KOsy9(chr(48) + chr(5908 - 5797) + chr(0b110011) + chr(0b110011), ord("\x08")):
vNUkKl4mHydC = xafqLlk3kkUe(SXOLrMavuUCe(b''), '\144' + chr(101) + chr(99) + chr(111) + '\x64' + chr(0b100110 + 0o77))(chr(9686 - 9569) + chr(0b1110100) + chr(102) + chr(871 - 826) + chr(56))
YNbs_wQ58JI0 = YNbs_wQ58JI0 + vNUkKl4mHydC
xafqLlk3kkUe(a7ep9wNcYBbB, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x85[\xbajI'), chr(0b1100000 + 0o4) + chr(0b1100101) + chr(99) + chr(0b1101111) + '\x64' + chr(101))(chr(11079 - 10962) + '\x74' + chr(4256 - 4154) + '\x2d' + chr(56)))(YNbs_wQ58JI0)
return a7ep9wNcYBbB
|
apache/incubator-mxnet
|
tools/coreml/converter/_add_pooling.py
|
add_pooling_with_padding_types
|
def add_pooling_with_padding_types(builder, name, height, width, stride_height, stride_width,
layer_type, padding_type, input_name, output_name,
padding_top = 0, padding_bottom = 0, padding_left = 0, padding_right = 0,
same_padding_asymmetry_mode = 'BOTTOM_RIGHT_HEAVY',
exclude_pad_area = True, is_global = False):
"""
Add a pooling layer to the model.
This is our own implementation of add_pooling since current CoreML's version (0.5.0) of builder
doesn't provide support for padding types apart from valid. This support will be added in the
next release of coremltools. When that happens, this can be removed.
Parameters
----------
builder: NeuralNetworkBuilder
A neural network builder object.
name: str
The name of this layer.
height: int
Height of pooling region.
width: int
Number of elements to be padded on the right side of the input blob.
stride_height: int
Stride along the height direction.
stride_width: int
Stride along the height direction.
layer_type: str
Type of pooling performed. Can either be 'MAX', 'AVERAGE' or 'L2'.
padding_type: str
Option for the output blob shape. Can be either 'VALID' , 'SAME' or 'INCLUDE_LAST_PIXEL'. Kindly look at NeuralNetwork.proto for details.
input_name: str
The input blob name of this layer.
output_name: str
The output blob name of this layer.
padding_top, padding_bottom, padding_left, padding_right: int
values of height (top, bottom) and width (left, right) padding to be used if padding type is "VALID" or "INCLUDE_LAST_PIXEL"
same_padding_asymmetry_mode : str.
Type of asymmetric padding to be used when padding_type = 'SAME'. Kindly look at NeuralNetwork.proto for details. Can be either 'BOTTOM_RIGHT_HEAVY' or 'TOP_LEFT_HEAVY'.
exclude_pad_area: boolean
Whether to exclude padded area in the pooling operation. Defaults to True.
- If True, the value of the padded area will be excluded.
- If False, the padded area will be included.
This flag is only used with average pooling.
is_global: boolean
Whether the pooling operation is global. Defaults to False.
- If True, the pooling operation is global -- the pooling region is of the same size of the input blob.
Parameters height, width, stride_height, stride_width will be ignored.
- If False, the pooling operation is not global.
See Also
--------
add_convolution, add_pooling, add_activation
"""
spec = builder.spec
nn_spec = builder.nn_spec
# Add a new layer
spec_layer = nn_spec.layers.add()
spec_layer.name = name
spec_layer.input.append(input_name)
spec_layer.output.append(output_name)
spec_layer_params = spec_layer.pooling
# Set the parameters
spec_layer_params.type = \
_NeuralNetwork_pb2.PoolingLayerParams.PoolingType.Value(layer_type)
if padding_type == 'VALID':
height_border = spec_layer_params.valid.paddingAmounts.borderAmounts.add()
height_border.startEdgeSize = padding_top
height_border.endEdgeSize = padding_bottom
width_border = spec_layer_params.valid.paddingAmounts.borderAmounts.add()
width_border.startEdgeSize = padding_left
width_border.endEdgeSize = padding_right
elif padding_type == 'SAME':
if not (same_padding_asymmetry_mode == 'BOTTOM_RIGHT_HEAVY' or same_padding_asymmetry_mode == 'TOP_LEFT_HEAVY'):
raise ValueError("Invalid value %d of same_padding_asymmetry_mode parameter" % same_padding_asymmetry_mode)
spec_layer_params.same.asymmetryMode = _NeuralNetwork_pb2.SamePadding.SamePaddingMode.Value(same_padding_asymmetry_mode)
elif padding_type == 'INCLUDE_LAST_PIXEL':
if padding_top != padding_bottom or padding_left != padding_right:
raise ValueError("Only symmetric padding is supported with the INCLUDE_LAST_PIXEL padding type")
spec_layer_params.includeLastPixel.paddingAmounts.append(padding_top)
spec_layer_params.includeLastPixel.paddingAmounts.append(padding_left)
spec_layer_params.kernelSize.append(height)
spec_layer_params.kernelSize.append(width)
spec_layer_params.stride.append(stride_height)
spec_layer_params.stride.append(stride_width)
spec_layer_params.avgPoolExcludePadding = exclude_pad_area
spec_layer_params.globalPooling = is_global
|
python
|
def add_pooling_with_padding_types(builder, name, height, width, stride_height, stride_width,
layer_type, padding_type, input_name, output_name,
padding_top = 0, padding_bottom = 0, padding_left = 0, padding_right = 0,
same_padding_asymmetry_mode = 'BOTTOM_RIGHT_HEAVY',
exclude_pad_area = True, is_global = False):
"""
Add a pooling layer to the model.
This is our own implementation of add_pooling since current CoreML's version (0.5.0) of builder
doesn't provide support for padding types apart from valid. This support will be added in the
next release of coremltools. When that happens, this can be removed.
Parameters
----------
builder: NeuralNetworkBuilder
A neural network builder object.
name: str
The name of this layer.
height: int
Height of pooling region.
width: int
Number of elements to be padded on the right side of the input blob.
stride_height: int
Stride along the height direction.
stride_width: int
Stride along the height direction.
layer_type: str
Type of pooling performed. Can either be 'MAX', 'AVERAGE' or 'L2'.
padding_type: str
Option for the output blob shape. Can be either 'VALID' , 'SAME' or 'INCLUDE_LAST_PIXEL'. Kindly look at NeuralNetwork.proto for details.
input_name: str
The input blob name of this layer.
output_name: str
The output blob name of this layer.
padding_top, padding_bottom, padding_left, padding_right: int
values of height (top, bottom) and width (left, right) padding to be used if padding type is "VALID" or "INCLUDE_LAST_PIXEL"
same_padding_asymmetry_mode : str.
Type of asymmetric padding to be used when padding_type = 'SAME'. Kindly look at NeuralNetwork.proto for details. Can be either 'BOTTOM_RIGHT_HEAVY' or 'TOP_LEFT_HEAVY'.
exclude_pad_area: boolean
Whether to exclude padded area in the pooling operation. Defaults to True.
- If True, the value of the padded area will be excluded.
- If False, the padded area will be included.
This flag is only used with average pooling.
is_global: boolean
Whether the pooling operation is global. Defaults to False.
- If True, the pooling operation is global -- the pooling region is of the same size of the input blob.
Parameters height, width, stride_height, stride_width will be ignored.
- If False, the pooling operation is not global.
See Also
--------
add_convolution, add_pooling, add_activation
"""
spec = builder.spec
nn_spec = builder.nn_spec
# Add a new layer
spec_layer = nn_spec.layers.add()
spec_layer.name = name
spec_layer.input.append(input_name)
spec_layer.output.append(output_name)
spec_layer_params = spec_layer.pooling
# Set the parameters
spec_layer_params.type = \
_NeuralNetwork_pb2.PoolingLayerParams.PoolingType.Value(layer_type)
if padding_type == 'VALID':
height_border = spec_layer_params.valid.paddingAmounts.borderAmounts.add()
height_border.startEdgeSize = padding_top
height_border.endEdgeSize = padding_bottom
width_border = spec_layer_params.valid.paddingAmounts.borderAmounts.add()
width_border.startEdgeSize = padding_left
width_border.endEdgeSize = padding_right
elif padding_type == 'SAME':
if not (same_padding_asymmetry_mode == 'BOTTOM_RIGHT_HEAVY' or same_padding_asymmetry_mode == 'TOP_LEFT_HEAVY'):
raise ValueError("Invalid value %d of same_padding_asymmetry_mode parameter" % same_padding_asymmetry_mode)
spec_layer_params.same.asymmetryMode = _NeuralNetwork_pb2.SamePadding.SamePaddingMode.Value(same_padding_asymmetry_mode)
elif padding_type == 'INCLUDE_LAST_PIXEL':
if padding_top != padding_bottom or padding_left != padding_right:
raise ValueError("Only symmetric padding is supported with the INCLUDE_LAST_PIXEL padding type")
spec_layer_params.includeLastPixel.paddingAmounts.append(padding_top)
spec_layer_params.includeLastPixel.paddingAmounts.append(padding_left)
spec_layer_params.kernelSize.append(height)
spec_layer_params.kernelSize.append(width)
spec_layer_params.stride.append(stride_height)
spec_layer_params.stride.append(stride_width)
spec_layer_params.avgPoolExcludePadding = exclude_pad_area
spec_layer_params.globalPooling = is_global
|
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Add a pooling layer to the model.
This is our own implementation of add_pooling since current CoreML's version (0.5.0) of builder
doesn't provide support for padding types apart from valid. This support will be added in the
next release of coremltools. When that happens, this can be removed.
Parameters
----------
builder: NeuralNetworkBuilder
A neural network builder object.
name: str
The name of this layer.
height: int
Height of pooling region.
width: int
Number of elements to be padded on the right side of the input blob.
stride_height: int
Stride along the height direction.
stride_width: int
Stride along the height direction.
layer_type: str
Type of pooling performed. Can either be 'MAX', 'AVERAGE' or 'L2'.
padding_type: str
Option for the output blob shape. Can be either 'VALID' , 'SAME' or 'INCLUDE_LAST_PIXEL'. Kindly look at NeuralNetwork.proto for details.
input_name: str
The input blob name of this layer.
output_name: str
The output blob name of this layer.
padding_top, padding_bottom, padding_left, padding_right: int
values of height (top, bottom) and width (left, right) padding to be used if padding type is "VALID" or "INCLUDE_LAST_PIXEL"
same_padding_asymmetry_mode : str.
Type of asymmetric padding to be used when padding_type = 'SAME'. Kindly look at NeuralNetwork.proto for details. Can be either 'BOTTOM_RIGHT_HEAVY' or 'TOP_LEFT_HEAVY'.
exclude_pad_area: boolean
Whether to exclude padded area in the pooling operation. Defaults to True.
- If True, the value of the padded area will be excluded.
- If False, the padded area will be included.
This flag is only used with average pooling.
is_global: boolean
Whether the pooling operation is global. Defaults to False.
- If True, the pooling operation is global -- the pooling region is of the same size of the input blob.
Parameters height, width, stride_height, stride_width will be ignored.
- If False, the pooling operation is not global.
See Also
--------
add_convolution, add_pooling, add_activation
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/tools/coreml/converter/_add_pooling.py#L21-L118
|
train
|
Add a pooling layer with optional padding types.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(4644 - 4533) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(158 - 110) + chr(0b1101111) + chr(0b110001) + chr(1890 - 1842) + chr(0b10000 + 0o40), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\062' + chr(2701 - 2649), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b100011 + 0o16) + chr(461 - 409), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\x35' + chr(49), 6329 - 6321), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x33' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(756 - 708) + chr(7277 - 7166) + chr(0b1111 + 0o43) + chr(0b110111) + chr(0b100 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1662 - 1551) + chr(0b110011) + '\061' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b111111 + 0o60) + chr(50) + chr(217 - 164) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + chr(909 - 858) + chr(0b110011) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + chr(0b10101 + 0o35) + '\067' + chr(51), 0o10), ehT0Px3KOsy9(chr(208 - 160) + chr(111) + '\061' + '\x33' + chr(0b100111 + 0o14), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1765 - 1715) + chr(0b110111), 7598 - 7590), ehT0Px3KOsy9(chr(61 - 13) + chr(0b10101 + 0o132) + '\x31' + chr(1311 - 1256) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(2006 - 1958) + chr(0b1001101 + 0o42) + '\x33' + chr(49) + '\061', 0b1000), ehT0Px3KOsy9(chr(1197 - 1149) + '\157' + '\061' + chr(2680 - 2626) + chr(2409 - 2357), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + '\x31' + chr(0b110001) + '\x34', 8), ehT0Px3KOsy9(chr(1089 - 1041) + chr(2212 - 2101) + chr(49) + '\061' + '\x34', 8), ehT0Px3KOsy9(chr(0b110000) + chr(11347 - 11236) + chr(0b110100) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(5337 - 5226) + chr(0b101100 + 0o6) + '\x37', 8), ehT0Px3KOsy9(chr(1742 - 1694) + chr(0b1101111) + chr(49) + chr(0b110110) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b110010) + chr(0b11001 + 0o27), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(622 - 573) + '\062' + chr(0b1100 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1652 - 1601) + '\063' + '\062', 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + chr(0b10000 + 0o41) + chr(0b110101) + chr(1459 - 1404), 51376 - 51368), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(49) + '\x31' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(7185 - 7074) + chr(49) + chr(0b110001) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b10 + 0o62) + chr(1211 - 1162), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b101000 + 0o107) + chr(0b101100 + 0o12) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b0 + 0o65) + chr(53), 51613 - 51605), ehT0Px3KOsy9('\060' + '\157' + chr(2010 - 1960) + chr(0b110000) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(517 - 466) + chr(0b110011) + chr(2171 - 2116), 0b1000), ehT0Px3KOsy9(chr(2215 - 2167) + chr(0b1101111) + chr(50) + '\x37' + chr(0b110000), 8), ehT0Px3KOsy9(chr(88 - 40) + chr(9582 - 9471) + chr(2289 - 2240) + chr(54) + chr(52), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\x34' + '\x35', 39375 - 39367), ehT0Px3KOsy9(chr(1410 - 1362) + chr(0b100000 + 0o117) + chr(0b110010) + chr(0b11010 + 0o30) + '\x32', 59604 - 59596), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\x30' + chr(0b10000 + 0o47), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(0b110001) + chr(0b101000 + 0o12) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(135 - 84) + chr(0b110011 + 0o0) + '\x35', 32345 - 32337), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(739 - 687) + chr(0b10100 + 0o35), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100010 + 0o23) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'*'), '\x64' + chr(770 - 669) + chr(0b1100011) + chr(111) + chr(0b100000 + 0o104) + chr(9172 - 9071))(chr(117) + '\x74' + chr(0b1100110) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uHSjTOJrFeD8(hyxr9mzVnIH8, AIvJRzLdDfgF, ehbUULKuygfC, mPx09rBTrGXR, IWgRjfx6mYq0, TNNPqSZ0SIwf, nF24o7I0_Wgs, vqKjmkMjgLyj, T1P2HfUVrGuW, RvHisuz8b6tn, i_zZ_d6ZxCf9=ehT0Px3KOsy9('\x30' + chr(111) + chr(48), 0o10), l_inQ07OZmbz=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(48), 8), KZTKPDOBudae=ehT0Px3KOsy9('\x30' + '\x6f' + chr(1403 - 1355), 8), ZQeQLntITTMu=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 8), bUv8vOJAHaHM=xafqLlk3kkUe(SXOLrMavuUCe(b'F\x0f\x80\x18\xa6\xd3\xe7\x98\xe4\x9e\xf3\x0fH4\x8c5\x1a\x15'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(5167 - 5056) + chr(5382 - 5282) + chr(912 - 811))(chr(0b110 + 0o157) + chr(0b1110100) + chr(5044 - 4942) + chr(0b101101) + chr(56)), A2_Id5RGGAKM=ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + '\061', 0o10), fmnbDm9w6qsF=ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x30', 8)):
IH4wfF5htxM9 = hyxr9mzVnIH8.spec
QsHuhM_93Zy4 = hyxr9mzVnIH8.nn_spec
CjZRZAt_yFts = QsHuhM_93Zy4.layers.uJ0q9cG5ZOR3()
CjZRZAt_yFts.AIvJRzLdDfgF = AIvJRzLdDfgF
xafqLlk3kkUe(CjZRZAt_yFts.input, xafqLlk3kkUe(SXOLrMavuUCe(b'e0\xa4)\x87\xfa'), chr(0b1011010 + 0o12) + '\145' + chr(99) + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + chr(8883 - 8767) + chr(0b1100110) + '\055' + chr(0b11101 + 0o33)))(T1P2HfUVrGuW)
xafqLlk3kkUe(CjZRZAt_yFts.output, xafqLlk3kkUe(SXOLrMavuUCe(b'e0\xa4)\x87\xfa'), chr(0b111110 + 0o46) + chr(1062 - 961) + chr(2962 - 2863) + chr(111) + '\x64' + chr(101))(chr(11040 - 10923) + chr(116) + chr(0b1100110) + chr(352 - 307) + chr(0b111000)))(RvHisuz8b6tn)
B5Td_X7O3iwd = CjZRZAt_yFts.pooling
B5Td_X7O3iwd.wmQmyeWBmUpv = PQSVSXNXMYsW.PoolingLayerParams.PoolingType.Value(nF24o7I0_Wgs)
if vqKjmkMjgLyj == xafqLlk3kkUe(SXOLrMavuUCe(b'R\x01\x98\x05\xad'), chr(0b100100 + 0o100) + chr(9519 - 9418) + chr(0b1000101 + 0o36) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b11 + 0o161) + chr(102) + chr(1107 - 1062) + chr(0b110111 + 0o1)):
bWLvvpyYe6qo = B5Td_X7O3iwd.valid.paddingAmounts.borderAmounts.uJ0q9cG5ZOR3()
bWLvvpyYe6qo.aKhXW2dzejtQ = i_zZ_d6ZxCf9
bWLvvpyYe6qo.Pi98RAnbmgCH = l_inQ07OZmbz
UM40_n647Ng6 = B5Td_X7O3iwd.valid.paddingAmounts.borderAmounts.uJ0q9cG5ZOR3()
UM40_n647Ng6.aKhXW2dzejtQ = KZTKPDOBudae
UM40_n647Ng6.Pi98RAnbmgCH = ZQeQLntITTMu
elif vqKjmkMjgLyj == xafqLlk3kkUe(SXOLrMavuUCe(b'W\x01\x99\t'), '\144' + '\x65' + chr(99) + '\x6f' + chr(0b110000 + 0o64) + chr(0b1100101))('\165' + '\x74' + chr(4452 - 4350) + '\x2d' + chr(0b111000)):
if not (bUv8vOJAHaHM == xafqLlk3kkUe(SXOLrMavuUCe(b'F\x0f\x80\x18\xa6\xd3\xe7\x98\xe4\x9e\xf3\x0fH4\x8c5\x1a\x15'), chr(4475 - 4375) + chr(101) + chr(5678 - 5579) + chr(0b1101111) + chr(4216 - 4116) + '\145')(chr(0b1110000 + 0o5) + chr(0b1110100) + '\146' + chr(621 - 576) + '\070') or bUv8vOJAHaHM == xafqLlk3kkUe(SXOLrMavuUCe(b'P\x0f\x84\x13\xa5\xdb\xfe\x9e\xf2\x91\xfe\x1aA%'), chr(0b1100100) + chr(101) + chr(4984 - 4885) + chr(4518 - 4407) + '\x64' + '\x65')(chr(117) + chr(0b1101010 + 0o12) + chr(0b1011001 + 0o15) + chr(0b101101) + chr(0b111000))):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'M.\xa2-\x85\xf7\xdc\xea\xdb\xb8\xd7.r\\\xec\x10l#F7\x00\xf1>\xbf09-\xc5RD\xef\xb8\xe7\x15\xd6\xeb\xaa=\xb8Uv9\x8b!\x86\xfa\xdd\xea\xdd\xb8\xc9:z\x19\xbd\x11>'), chr(0b1101 + 0o127) + chr(101) + chr(99) + '\157' + '\144' + chr(0b1001001 + 0o34))(chr(0b110010 + 0o103) + chr(5413 - 5297) + chr(2483 - 2381) + chr(0b101101) + '\070') % bUv8vOJAHaHM)
B5Td_X7O3iwd.same.Vh0TKtu1jSPa = PQSVSXNXMYsW.SamePadding.SamePaddingMode.Value(bUv8vOJAHaHM)
elif vqKjmkMjgLyj == xafqLlk3kkUe(SXOLrMavuUCe(b'M\x0e\x97\x00\xbc\xda\xfd\x95\xe1\x98\xe8\x0fH,\x80,\t\x00'), '\144' + chr(101) + '\x63' + chr(0b10101 + 0o132) + chr(0b1100100) + chr(0b1011011 + 0o12))('\165' + chr(0b1101 + 0o147) + chr(102) + chr(650 - 605) + '\x38'):
if i_zZ_d6ZxCf9 != l_inQ07OZmbz or KZTKPDOBudae != ZQeQLntITTMu:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b"K.\xb85\xc9\xed\xc1\xa7\xc0\xbc\xcf)~\x1f\xe9\x04-(D~\x1d\xf7s\xb3\x1ci?\xd4F]\xee\xad\xcc\x11\xc1\xb2\xb09\xa9I$4\xbc)\xc9\xd7\xf6\x89\xe1\x8c\xff\x1eH0\x88'\x18\x13p^+\xd5\x1f\xfa\x1f((\xc5_C\xe6\xff\xcc\r\xd5\xf7"), chr(0b1100100) + '\x65' + chr(0b1000101 + 0o36) + '\x6f' + chr(3066 - 2966) + chr(0b1100101))('\x75' + chr(6250 - 6134) + chr(0b11111 + 0o107) + '\055' + chr(1936 - 1880)))
xafqLlk3kkUe(B5Td_X7O3iwd.includeLastPixel.paddingAmounts, xafqLlk3kkUe(SXOLrMavuUCe(b'e0\xa4)\x87\xfa'), chr(0b1010011 + 0o21) + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(1848 - 1732) + '\146' + chr(0b1101 + 0o40) + chr(1161 - 1105)))(i_zZ_d6ZxCf9)
xafqLlk3kkUe(B5Td_X7O3iwd.includeLastPixel.paddingAmounts, xafqLlk3kkUe(SXOLrMavuUCe(b'e0\xa4)\x87\xfa'), chr(0b1100100) + chr(101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(117) + '\164' + chr(0b1100110) + '\055' + '\x38'))(KZTKPDOBudae)
xafqLlk3kkUe(B5Td_X7O3iwd.kernelSize, xafqLlk3kkUe(SXOLrMavuUCe(b'e0\xa4)\x87\xfa'), chr(0b1100100) + chr(9842 - 9741) + chr(0b1001 + 0o132) + '\157' + chr(0b1100100) + chr(8721 - 8620))('\x75' + chr(116) + chr(0b1011100 + 0o12) + '\055' + chr(56)))(ehbUULKuygfC)
xafqLlk3kkUe(B5Td_X7O3iwd.kernelSize, xafqLlk3kkUe(SXOLrMavuUCe(b'e0\xa4)\x87\xfa'), chr(0b1100100) + '\145' + '\143' + chr(111) + chr(175 - 75) + chr(101))(chr(0b1001100 + 0o51) + chr(116) + '\146' + chr(0b101 + 0o50) + chr(1799 - 1743)))(mPx09rBTrGXR)
xafqLlk3kkUe(B5Td_X7O3iwd.stride, xafqLlk3kkUe(SXOLrMavuUCe(b'e0\xa4)\x87\xfa'), chr(100) + chr(0b1100101) + chr(0b1100001 + 0o2) + chr(0b1100000 + 0o17) + '\144' + '\145')('\165' + chr(116) + '\x66' + chr(0b1111 + 0o36) + chr(0b111000)))(IWgRjfx6mYq0)
xafqLlk3kkUe(B5Td_X7O3iwd.stride, xafqLlk3kkUe(SXOLrMavuUCe(b'e0\xa4)\x87\xfa'), chr(0b101000 + 0o74) + '\145' + chr(5321 - 5222) + chr(0b1101111) + chr(0b1100100) + chr(3509 - 3408))('\165' + chr(0b1111 + 0o145) + chr(3176 - 3074) + chr(0b11011 + 0o22) + chr(0b101101 + 0o13)))(TNNPqSZ0SIwf)
B5Td_X7O3iwd.NhtmCNxYDpOk = A2_Id5RGGAKM
B5Td_X7O3iwd.jlbWAQv5BiYz = fmnbDm9w6qsF
|
apache/incubator-mxnet
|
example/kaggle-ndsb2/Preprocessing.py
|
get_frames
|
def get_frames(root_path):
"""Get path to all the frame in view SAX and contain complete frames"""
ret = []
for root, _, files in os.walk(root_path):
root=root.replace('\\','/')
files=[s for s in files if ".dcm" in s]
if len(files) == 0 or not files[0].endswith(".dcm") or root.find("sax") == -1:
continue
prefix = files[0].rsplit('-', 1)[0]
fileset = set(files)
expected = ["%s-%04d.dcm" % (prefix, i + 1) for i in range(30)]
if all(x in fileset for x in expected):
ret.append([root + "/" + x for x in expected])
# sort for reproduciblity
return sorted(ret, key = lambda x: x[0])
|
python
|
def get_frames(root_path):
"""Get path to all the frame in view SAX and contain complete frames"""
ret = []
for root, _, files in os.walk(root_path):
root=root.replace('\\','/')
files=[s for s in files if ".dcm" in s]
if len(files) == 0 or not files[0].endswith(".dcm") or root.find("sax") == -1:
continue
prefix = files[0].rsplit('-', 1)[0]
fileset = set(files)
expected = ["%s-%04d.dcm" % (prefix, i + 1) for i in range(30)]
if all(x in fileset for x in expected):
ret.append([root + "/" + x for x in expected])
# sort for reproduciblity
return sorted(ret, key = lambda x: x[0])
|
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] |
Get path to all the frame in view SAX and contain complete frames
|
[
"Get",
"path",
"to",
"all",
"the",
"frame",
"in",
"view",
"SAX",
"and",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/kaggle-ndsb2/Preprocessing.py#L39-L53
|
train
|
Get all the frame in view SAX and contain complete frames
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(1770 - 1718) + chr(0b10000 + 0o46), 30678 - 30670), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + '\061' + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100101 + 0o16) + chr(1397 - 1345) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1001110 + 0o41) + '\x37' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1779 - 1731) + chr(0b110010 + 0o75) + '\x31' + chr(0b100000 + 0o21) + '\060', 0b1000), ehT0Px3KOsy9(chr(478 - 430) + '\x6f' + chr(0b110011) + chr(54) + chr(0b0 + 0o64), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + chr(2234 - 2184) + '\x37' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + '\x31' + chr(0b10000 + 0o43) + chr(53), 0o10), ehT0Px3KOsy9(chr(1675 - 1627) + '\157' + '\x33' + chr(49) + chr(2121 - 2072), 0b1000), ehT0Px3KOsy9('\060' + chr(11179 - 11068) + '\x32' + chr(2374 - 2324) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\065' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110111) + chr(2229 - 2180), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(48) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + '\x32' + chr(1085 - 1037) + chr(428 - 379), 57858 - 57850), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001 + 0o1) + '\067' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(6691 - 6580) + chr(0b10010 + 0o41) + chr(0b110010) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11792 - 11681) + '\062' + '\x35' + '\x36', 0b1000), ehT0Px3KOsy9(chr(1558 - 1510) + chr(0b1101111) + '\063' + chr(0b110101) + chr(0b100110 + 0o14), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000 + 0o3) + chr(52) + chr(49), 0o10), ehT0Px3KOsy9(chr(157 - 109) + '\157' + chr(51) + chr(52) + '\063', 46591 - 46583), ehT0Px3KOsy9(chr(48) + chr(5866 - 5755) + chr(0b1 + 0o63) + chr(0b10000 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(401 - 349) + chr(53), 35189 - 35181), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(50) + '\x37' + '\x33', 60507 - 60499), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\063' + chr(927 - 875), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10001 + 0o40) + chr(0b10110 + 0o35) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(0b11100 + 0o26) + chr(0b110010) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(366 - 314), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2109 - 1998) + chr(2397 - 2347) + '\x33' + chr(0b10 + 0o57), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101100 + 0o3) + '\065' + chr(48), 23975 - 23967), ehT0Px3KOsy9(chr(1293 - 1245) + '\x6f' + '\062' + chr(0b101110 + 0o10) + chr(578 - 530), 950 - 942), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1473 - 1423) + '\064' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b110110) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + '\x33' + '\062' + '\x34', 50928 - 50920), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110111) + chr(0b110101), 40950 - 40942), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11101 + 0o25) + chr(50) + '\063', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b101110 + 0o4) + chr(0b100010 + 0o21), 8), ehT0Px3KOsy9(chr(2211 - 2163) + chr(7944 - 7833) + chr(0b1011 + 0o50) + chr(0b110100) + chr(196 - 141), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\x36' + chr(1740 - 1686), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100110 + 0o14) + '\x31' + chr(48), 19186 - 19178), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b10000 + 0o47) + '\x34', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\065' + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x88'), chr(0b1100100) + '\145' + chr(99) + chr(111) + chr(0b1100100) + '\145')('\165' + '\x74' + chr(3268 - 3166) + '\x2d' + chr(0b10000 + 0o50)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Y4nsYVMVTuel(WMh1_Swma6hS):
VHn4CV4Ymrei = []
for (FiL2Xt3u2AMN, VNGQdHSFPrso, uyc48vokp5OE) in xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1k\x8bU'), '\x64' + chr(101) + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(9427 - 9310) + chr(0b11100 + 0o130) + '\x66' + chr(0b101101) + chr(0b10101 + 0o43)))(WMh1_Swma6hS):
FiL2Xt3u2AMN = FiL2Xt3u2AMN.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa'), '\144' + '\145' + chr(99) + '\157' + chr(0b1010011 + 0o21) + '\145')(chr(0b100111 + 0o116) + '\164' + chr(0b1100110) + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x89'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b100010 + 0o103))(chr(0b1110101) + '\x74' + '\x66' + chr(0b101101) + chr(56)))
uyc48vokp5OE = [vGrByMSYMp9h for vGrByMSYMp9h in uyc48vokp5OE if xafqLlk3kkUe(SXOLrMavuUCe(b'\x88n\x84S'), chr(100) + '\x65' + '\143' + chr(2360 - 2249) + chr(100) + '\x65')(chr(0b1110101) + chr(6717 - 6601) + chr(0b1100110) + chr(1723 - 1678) + '\x38') in vGrByMSYMp9h]
if c2A0yzQpDQB3(uyc48vokp5OE) == ehT0Px3KOsy9('\060' + chr(8625 - 8514) + chr(48), 0o10) or not xafqLlk3kkUe(uyc48vokp5OE[ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + '\060', 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3d\x83M?\x9d\xc85'), chr(100) + chr(4441 - 4340) + chr(4136 - 4037) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(6480 - 6363) + '\x74' + chr(102) + chr(0b101101) + chr(0b1110 + 0o52)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x88n\x84S'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1000100 + 0o40) + chr(101))(chr(0b1110101) + '\164' + chr(5252 - 5150) + chr(0b101101) + chr(56))) or xafqLlk3kkUe(FiL2Xt3u2AMN, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0c\x89Z'), '\144' + chr(101) + chr(0b1100011) + chr(10532 - 10421) + '\144' + chr(0b101111 + 0o66))(chr(0b1101 + 0o150) + '\x74' + '\146' + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5k\x9f'), '\144' + '\x65' + '\x63' + chr(11739 - 11628) + chr(0b1000111 + 0o35) + chr(0b1001110 + 0o27))(chr(1726 - 1609) + chr(116) + '\146' + '\055' + chr(0b101000 + 0o20))) == -ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1931 - 1882), 0b1000):
continue
K1Ha0XjJTAE7 = uyc48vokp5OE[ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\060', 8)].rsplit(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b'), chr(0b100001 + 0o103) + chr(6883 - 6782) + '\143' + chr(7917 - 7806) + '\x64' + chr(0b1100101))(chr(0b1100000 + 0o25) + '\x74' + chr(0b1100110) + chr(45) + chr(56)), ehT0Px3KOsy9(chr(48) + '\157' + '\061', 8))[ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(0b100101 + 0o13), 8)]
rkfkWENJ3izM = MVEN8G6CxlvR(uyc48vokp5OE)
Bf5Zgk3dCnwg = [xafqLlk3kkUe(SXOLrMavuUCe(b'\x83y\xca\x1bx\xc0\xd8s\xad\xf7D'), chr(0b1100100) + chr(0b1100010 + 0o3) + chr(390 - 291) + chr(111) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b1111 + 0o36) + '\x38') % (K1Ha0XjJTAE7, WVxHKyX45z_L + ehT0Px3KOsy9('\060' + chr(0b1101011 + 0o4) + '\x31', 8)) for WVxHKyX45z_L in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(1899 - 1851) + '\157' + chr(51) + chr(0b1000 + 0o56), 0b1000))]
if Dl48nj1rbi23((OeWW0F1dBPRQ in rkfkWENJ3izM for OeWW0F1dBPRQ in Bf5Zgk3dCnwg)):
xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7z\x97[&\x90'), chr(100) + chr(0b1100101) + chr(0b101010 + 0o71) + chr(111) + chr(0b1001000 + 0o34) + chr(0b1100101))('\x75' + chr(0b10010 + 0o142) + '\146' + '\x2d' + chr(927 - 871)))([FiL2Xt3u2AMN + xafqLlk3kkUe(SXOLrMavuUCe(b'\x89'), chr(100) + '\145' + chr(0b1100011) + '\x6f' + chr(7552 - 7452) + '\x65')('\165' + '\x74' + chr(6609 - 6507) + chr(0b101101) + '\070') + OeWW0F1dBPRQ for OeWW0F1dBPRQ in Bf5Zgk3dCnwg])
return vUlqIvNSaRMa(VHn4CV4Ymrei, key=lambda OeWW0F1dBPRQ: OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x30', 8)])
|
apache/incubator-mxnet
|
example/kaggle-ndsb2/Preprocessing.py
|
write_data_csv
|
def write_data_csv(fname, frames, preproc):
"""Write data to csv file"""
fdata = open(fname, "w")
dr = Parallel()(delayed(get_data)(lst,preproc) for lst in frames)
data,result = zip(*dr)
for entry in data:
fdata.write(','.join(entry)+'\r\n')
print("All finished, %d slices in total" % len(data))
fdata.close()
result = np.ravel(result)
return result
|
python
|
def write_data_csv(fname, frames, preproc):
"""Write data to csv file"""
fdata = open(fname, "w")
dr = Parallel()(delayed(get_data)(lst,preproc) for lst in frames)
data,result = zip(*dr)
for entry in data:
fdata.write(','.join(entry)+'\r\n')
print("All finished, %d slices in total" % len(data))
fdata.close()
result = np.ravel(result)
return result
|
[
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] |
Write data to csv file
|
[
"Write",
"data",
"to",
"csv",
"file"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/kaggle-ndsb2/Preprocessing.py#L94-L104
|
train
|
Write data to csv file
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110111) + '\066', 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + '\x31' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1005 - 957) + chr(9196 - 9085) + chr(2327 - 2276) + chr(2088 - 2034) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(5466 - 5355) + '\x32' + chr(148 - 98) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\x30' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(54) + chr(0b110001), 30157 - 30149), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\x32' + chr(48), 8), ehT0Px3KOsy9(chr(186 - 138) + '\x6f' + chr(0b100 + 0o57) + '\066' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1833 - 1785) + chr(111) + chr(0b110011) + chr(672 - 619) + chr(229 - 176), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + chr(51) + chr(0b110100) + chr(1290 - 1241), 0b1000), ehT0Px3KOsy9(chr(2284 - 2236) + chr(12187 - 12076) + '\x33' + chr(48) + '\063', 15098 - 15090), ehT0Px3KOsy9(chr(382 - 334) + chr(0b1101111) + '\063' + '\067' + chr(0b1001 + 0o55), 47963 - 47955), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x37' + chr(2022 - 1970), 0b1000), ehT0Px3KOsy9(chr(1894 - 1846) + '\x6f' + chr(2212 - 2163) + chr(52) + chr(0b100111 + 0o13), 37051 - 37043), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + '\x32' + chr(2152 - 2102) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b101 + 0o152) + chr(0b110001) + chr(0b10001 + 0o37) + chr(1232 - 1181), 47402 - 47394), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(2449 - 2397) + chr(0b101111 + 0o3), 0b1000), ehT0Px3KOsy9(chr(48) + chr(244 - 133) + chr(482 - 431) + '\x33' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2438 - 2386) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\065' + chr(1480 - 1429), ord("\x08")), ehT0Px3KOsy9(chr(1604 - 1556) + chr(6576 - 6465) + '\x33' + '\x37' + chr(0b1001 + 0o52), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(8775 - 8664) + chr(51) + chr(54) + chr(0b100110 + 0o14), 0o10), ehT0Px3KOsy9(chr(268 - 220) + '\157' + '\061' + chr(55) + chr(49), 28948 - 28940), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + '\x32' + chr(0b110001) + chr(0b1000 + 0o57), 0b1000), ehT0Px3KOsy9('\060' + chr(1498 - 1387) + chr(50) + chr(0b1111 + 0o44) + chr(0b11011 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(1375 - 1327) + chr(8488 - 8377) + '\x33' + chr(0b110101) + chr(670 - 619), 54548 - 54540), ehT0Px3KOsy9(chr(48) + chr(8323 - 8212) + '\065' + chr(0b101101 + 0o4), 56780 - 56772), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b110001) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9411 - 9300) + '\x31' + '\x36' + chr(2109 - 2058), 0b1000), ehT0Px3KOsy9(chr(468 - 420) + chr(111) + '\x31' + chr(0b10001 + 0o37) + chr(724 - 672), 3098 - 3090), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(230 - 179) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\065', 26570 - 26562), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b10100 + 0o133) + chr(50) + chr(0b110101) + chr(0b100100 + 0o17), 0o10), ehT0Px3KOsy9(chr(48) + chr(10254 - 10143) + chr(49) + '\062' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(0b1111 + 0o42) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b101111 + 0o3) + chr(0b11 + 0o62), 17669 - 17661), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(53) + '\x33', 8), ehT0Px3KOsy9(chr(48) + chr(0b111000 + 0o67) + chr(0b101110 + 0o3) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b11 + 0o154) + chr(0b110011) + chr(774 - 726), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(0b110110), 12509 - 12501)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x35' + chr(0b111 + 0o51), 45244 - 45236)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x10'), chr(0b1101 + 0o127) + '\145' + chr(7500 - 7401) + chr(0b1010101 + 0o32) + '\144' + '\x65')(chr(0b101010 + 0o113) + chr(116) + '\146' + '\055' + chr(1930 - 1874)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def dDQJ8mG8Gakn(t3WbF0Ae42Pu, RlRNrq1190ue, zx80gFllET5a):
XyY6Dth6T6Ud = _fwkIVCGgtAN(t3WbF0Ae42Pu, xafqLlk3kkUe(SXOLrMavuUCe(b'I'), chr(1594 - 1494) + '\145' + chr(0b1000 + 0o133) + chr(6339 - 6228) + chr(100) + chr(101))(chr(2827 - 2710) + '\164' + chr(0b11011 + 0o113) + chr(0b101101) + chr(1992 - 1936)))
eIuN7D7SftLf = CcyzowtNHWiA()((z7XZP5iudNCv(Uif5YMYsaUYu)(UbQgAO4lGOIJ, zx80gFllET5a) for UbQgAO4lGOIJ in RlRNrq1190ue))
(ULnjp6D6efFH, ShZmEKfTkAOZ) = pZ0NK2y6HRbn(*eIuN7D7SftLf)
for DuP5x7rEFa7R in ULnjp6D6efFH:
xafqLlk3kkUe(XyY6Dth6T6Ud, xafqLlk3kkUe(SXOLrMavuUCe(b'Iz\x9d\xe4\xe1'), '\144' + chr(9651 - 9550) + chr(99) + chr(111) + '\144' + chr(0b1100101))('\165' + chr(0b100010 + 0o122) + chr(1454 - 1352) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x12'), chr(0b110 + 0o136) + chr(0b1100101) + '\x63' + chr(0b10101 + 0o132) + chr(0b1100100) + chr(101))(chr(0b1110001 + 0o4) + '\164' + chr(0b1100110) + chr(45) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'ag\xa3\xc8\xfeE\xc6\xbd\x83\x90\x8b\xb8'), '\144' + chr(0b1100101) + chr(99) + chr(0b1101111) + '\144' + chr(0b1100101))('\165' + chr(0b1110100) + chr(7303 - 7201) + chr(1733 - 1688) + chr(0b111000)))(DuP5x7rEFa7R) + xafqLlk3kkUe(SXOLrMavuUCe(b'3\x02'), chr(6852 - 6752) + chr(101) + chr(0b1100011) + chr(0b100000 + 0o117) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + chr(56)))
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b"\x7fd\x98\xb0\xe2X\xfe\x9a\x9e\x89\xa6\x9a\x10B\xb2'\x02\xacMB\x98\x97\n\xaf\xf6\x85\t?\x1c0}y"), '\144' + chr(101) + '\143' + chr(0b110011 + 0o74) + chr(0b1100100) + chr(6274 - 6173))(chr(0b100111 + 0o116) + '\164' + '\146' + chr(126 - 81) + '\070') % c2A0yzQpDQB3(ULnjp6D6efFH))
xafqLlk3kkUe(XyY6Dth6T6Ud, xafqLlk3kkUe(SXOLrMavuUCe(b']d\x9b\xe3\xe1'), chr(4639 - 4539) + chr(101) + '\x63' + chr(0b100011 + 0o114) + chr(9387 - 9287) + chr(7431 - 7330))(chr(0b1110101) + chr(9004 - 8888) + chr(102) + chr(1807 - 1762) + chr(0b1111 + 0o51)))()
ShZmEKfTkAOZ = WqUC3KWvYVup._z3oWn7GMFaN(ShZmEKfTkAOZ)
return ShZmEKfTkAOZ
|
apache/incubator-mxnet
|
example/kaggle-ndsb2/Preprocessing.py
|
crop_resize
|
def crop_resize(img, size):
"""crop center and resize"""
if img.shape[0] < img.shape[1]:
img = img.T
# we crop image from center
short_egde = min(img.shape[:2])
yy = int((img.shape[0] - short_egde) / 2)
xx = int((img.shape[1] - short_egde) / 2)
crop_img = img[yy : yy + short_egde, xx : xx + short_egde]
# resize to 64, 64
resized_img = transform.resize(crop_img, (size, size))
resized_img *= 255
return resized_img.astype("uint8")
|
python
|
def crop_resize(img, size):
"""crop center and resize"""
if img.shape[0] < img.shape[1]:
img = img.T
# we crop image from center
short_egde = min(img.shape[:2])
yy = int((img.shape[0] - short_egde) / 2)
xx = int((img.shape[1] - short_egde) / 2)
crop_img = img[yy : yy + short_egde, xx : xx + short_egde]
# resize to 64, 64
resized_img = transform.resize(crop_img, (size, size))
resized_img *= 255
return resized_img.astype("uint8")
|
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] |
crop center and resize
|
[
"crop",
"center",
"and",
"resize"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/kaggle-ndsb2/Preprocessing.py#L107-L119
|
train
|
crop and resize
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b110011 + 0o0) + chr(0b1111 + 0o50) + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b110011 + 0o3) + chr(0b110 + 0o53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110100) + chr(0b110000), 28347 - 28339), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b110101) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5923 - 5812) + '\x33' + chr(0b110111) + chr(2292 - 2242), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100100 + 0o16) + '\x30' + chr(0b10100 + 0o43), 14373 - 14365), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\067' + chr(0b110000 + 0o1), 37101 - 37093), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\x35' + chr(0b1000 + 0o50), 31234 - 31226), ehT0Px3KOsy9('\x30' + '\157' + chr(1928 - 1878) + '\x37' + chr(0b101011 + 0o5), 7293 - 7285), ehT0Px3KOsy9(chr(778 - 730) + chr(4776 - 4665) + chr(50) + chr(55) + chr(0b100010 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2536 - 2425) + chr(0b100010 + 0o21) + '\065' + '\x35', 0o10), ehT0Px3KOsy9(chr(2143 - 2095) + chr(111) + '\061' + '\066' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(50) + chr(2526 - 2474) + chr(1913 - 1860), 33033 - 33025), ehT0Px3KOsy9(chr(2193 - 2145) + chr(0b11011 + 0o124) + chr(49) + '\x35' + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(3378 - 3267) + '\063' + chr(54) + chr(0b110010), 30542 - 30534), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\067' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2339 - 2289) + chr(0b10011 + 0o44) + chr(0b10110 + 0o36), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7067 - 6956) + chr(0b110011) + chr(2256 - 2202) + chr(0b1110 + 0o47), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\x37' + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10110 + 0o35) + chr(0b110001 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(418 - 370) + chr(6151 - 6040) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110111) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1477 - 1429) + chr(111) + chr(49) + chr(0b1110 + 0o50) + '\x33', 36724 - 36716), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(48) + chr(651 - 598), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b110110) + chr(53), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\065' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\x31' + '\061', 34232 - 34224), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + chr(51) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(0b10111 + 0o32) + '\061' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b110011) + '\064', 18772 - 18764), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x36' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100100 + 0o15) + chr(54) + '\061', 0o10), ehT0Px3KOsy9(chr(378 - 330) + '\x6f' + chr(0b110010) + '\x36' + chr(0b101001 + 0o7), 44784 - 44776), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(857 - 802) + chr(48), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(2357 - 2306) + chr(0b110101) + chr(0b10001 + 0o42), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100101 + 0o16) + chr(0b110000) + chr(1608 - 1557), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + '\x33' + chr(0b110010) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(187 - 134) + chr(1090 - 1039), 0b1000), ehT0Px3KOsy9(chr(1571 - 1523) + chr(1019 - 908) + chr(0b0 + 0o62) + chr(708 - 656) + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + chr(4268 - 4157) + chr(50) + chr(0b110110) + '\065', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(53) + chr(0b10101 + 0o33), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6'), '\144' + chr(0b100100 + 0o101) + '\143' + chr(4507 - 4396) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\x74' + '\x66' + chr(0b1011 + 0o42) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GELDfVKrII1n(s63jeLEbd8fs, NLcc3BCJnQka):
if xafqLlk3kkUe(s63jeLEbd8fs, xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\x90\xd5\xf4\x9c\xcb\x1e\x04\xec\xce\x8e\x16'), chr(0b111110 + 0o46) + '\145' + chr(0b1100011) + '\157' + chr(9412 - 9312) + chr(1897 - 1796))(chr(0b1110101) + chr(116) + chr(0b1010100 + 0o22) + chr(1044 - 999) + chr(0b11001 + 0o37)))[ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000), 0o10)] < xafqLlk3kkUe(s63jeLEbd8fs, xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\x90\xd5\xf4\x9c\xcb\x1e\x04\xec\xce\x8e\x16'), chr(2062 - 1962) + '\145' + chr(0b1100011) + '\x6f' + chr(1490 - 1390) + chr(0b1100101))(chr(10345 - 10228) + chr(0b110010 + 0o102) + chr(0b10101 + 0o121) + chr(0b10010 + 0o33) + chr(0b11110 + 0o32)))[ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\x31', 8)]:
s63jeLEbd8fs = s63jeLEbd8fs.T
ms57zAcWm1ZM = Dx22bkKPdt5d(s63jeLEbd8fs.nauYfLglTpcb[:ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010 + 0o0), 60341 - 60333)])
CkRxV3_Peyp4 = ehT0Px3KOsy9((s63jeLEbd8fs.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + chr(11476 - 11365) + chr(1251 - 1203), 8)] - ms57zAcWm1ZM) / ehT0Px3KOsy9('\x30' + chr(6824 - 6713) + '\062', 8))
qRSrzgHeSsjG = ehT0Px3KOsy9((s63jeLEbd8fs.nauYfLglTpcb[ehT0Px3KOsy9(chr(1670 - 1622) + chr(3565 - 3454) + chr(0b1010 + 0o47), 8)] - ms57zAcWm1ZM) / ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062', 8))
mMeHWn_F8_9y = s63jeLEbd8fs[CkRxV3_Peyp4:CkRxV3_Peyp4 + ms57zAcWm1ZM, qRSrzgHeSsjG:qRSrzgHeSsjG + ms57zAcWm1ZM]
muzPDpVr1A3r = ASNeIOBhze_M.resize(mMeHWn_F8_9y, (NLcc3BCJnQka, NLcc3BCJnQka))
muzPDpVr1A3r *= ehT0Px3KOsy9('\060' + chr(111) + chr(1207 - 1156) + '\x37' + chr(0b110111), 0o10)
return xafqLlk3kkUe(muzPDpVr1A3r, xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\x82\xd4\xd4\x8a\xe2'), chr(0b1010001 + 0o23) + chr(101) + chr(0b11000 + 0o113) + chr(0b1011101 + 0o22) + chr(0b1100100) + '\x65')(chr(12471 - 12354) + '\164' + chr(0b101 + 0o141) + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x98\xce\xd9\xc2'), chr(0b100011 + 0o101) + '\x65' + chr(8858 - 8759) + chr(0b1101111) + chr(100) + chr(101))(chr(0b1 + 0o164) + '\x74' + chr(102) + '\x2d' + chr(0b111000)))
|
apache/incubator-mxnet
|
example/gluon/sn_gan/model.py
|
get_generator
|
def get_generator():
""" construct and return generator """
g_net = gluon.nn.Sequential()
with g_net.name_scope():
g_net.add(gluon.nn.Conv2DTranspose(
channels=512, kernel_size=4, strides=1, padding=0, use_bias=False))
g_net.add(gluon.nn.BatchNorm())
g_net.add(gluon.nn.LeakyReLU(0.2))
g_net.add(gluon.nn.Conv2DTranspose(
channels=256, kernel_size=4, strides=2, padding=1, use_bias=False))
g_net.add(gluon.nn.BatchNorm())
g_net.add(gluon.nn.LeakyReLU(0.2))
g_net.add(gluon.nn.Conv2DTranspose(
channels=128, kernel_size=4, strides=2, padding=1, use_bias=False))
g_net.add(gluon.nn.BatchNorm())
g_net.add(gluon.nn.LeakyReLU(0.2))
g_net.add(gluon.nn.Conv2DTranspose(
channels=64, kernel_size=4, strides=2, padding=1, use_bias=False))
g_net.add(gluon.nn.BatchNorm())
g_net.add(gluon.nn.LeakyReLU(0.2))
g_net.add(gluon.nn.Conv2DTranspose(channels=3, kernel_size=4, strides=2, padding=1, use_bias=False))
g_net.add(gluon.nn.Activation('tanh'))
return g_net
|
python
|
def get_generator():
""" construct and return generator """
g_net = gluon.nn.Sequential()
with g_net.name_scope():
g_net.add(gluon.nn.Conv2DTranspose(
channels=512, kernel_size=4, strides=1, padding=0, use_bias=False))
g_net.add(gluon.nn.BatchNorm())
g_net.add(gluon.nn.LeakyReLU(0.2))
g_net.add(gluon.nn.Conv2DTranspose(
channels=256, kernel_size=4, strides=2, padding=1, use_bias=False))
g_net.add(gluon.nn.BatchNorm())
g_net.add(gluon.nn.LeakyReLU(0.2))
g_net.add(gluon.nn.Conv2DTranspose(
channels=128, kernel_size=4, strides=2, padding=1, use_bias=False))
g_net.add(gluon.nn.BatchNorm())
g_net.add(gluon.nn.LeakyReLU(0.2))
g_net.add(gluon.nn.Conv2DTranspose(
channels=64, kernel_size=4, strides=2, padding=1, use_bias=False))
g_net.add(gluon.nn.BatchNorm())
g_net.add(gluon.nn.LeakyReLU(0.2))
g_net.add(gluon.nn.Conv2DTranspose(channels=3, kernel_size=4, strides=2, padding=1, use_bias=False))
g_net.add(gluon.nn.Activation('tanh'))
return g_net
|
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] |
construct and return generator
|
[
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"generator"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/sn_gan/model.py#L89-L117
|
train
|
construct and return a generator for the current ISO - 8601 version of the current ISO - 8601 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('\060' + '\157' + chr(50) + '\061' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + chr(2052 - 2002) + chr(265 - 213) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(0b110001) + chr(0b100001 + 0o20) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7484 - 7373) + chr(51) + '\061' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(6452 - 6341) + '\062' + '\062' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1225 - 1175) + '\065' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(418 - 370) + chr(0b1101111) + chr(51) + chr(0b110101) + chr(0b11100 + 0o25), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(2548 - 2496) + chr(176 - 128), 8), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b100111 + 0o110) + chr(51) + chr(0b110111) + chr(1503 - 1451), 33745 - 33737), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\061' + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\061' + '\x37', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b10111 + 0o34) + chr(55) + chr(55), 0b1000), ehT0Px3KOsy9(chr(2119 - 2071) + '\157' + chr(0b110010) + chr(0b100111 + 0o17) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110110) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(9293 - 9182) + '\x32' + '\x35' + chr(0b110011), 44589 - 44581), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b11101 + 0o24) + '\x36', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(49) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(54) + chr(0b11 + 0o55), 25817 - 25809), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(822 - 773) + chr(0b1001 + 0o47) + chr(0b10011 + 0o40), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(972 - 923) + chr(0b1001 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + '\x33' + chr(48) + chr(896 - 841), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x33' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\061' + '\062', 42394 - 42386), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(72 - 23) + chr(54) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10000 + 0o137) + '\x31' + chr(0b110100) + chr(1740 - 1685), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(124 - 13) + '\x32' + chr(0b11 + 0o55) + chr(52), 6158 - 6150), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(51) + chr(0b110000) + '\x33', 36496 - 36488), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100110 + 0o11) + chr(0b11000 + 0o32) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(557 - 506) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100110 + 0o15) + '\x32', 27760 - 27752), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(5290 - 5179) + chr(435 - 385) + chr(0b110000) + '\065', 38258 - 38250), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1011 + 0o47) + chr(55) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111 + 0o0) + '\063' + '\061' + chr(55), 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + '\063' + chr(0b110110) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b10100 + 0o133) + chr(51) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + '\x33' + chr(0b10 + 0o65), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(48) + chr(0b110011), 8), ehT0Px3KOsy9(chr(2006 - 1958) + chr(0b11011 + 0o124) + '\062' + '\x32' + '\x37', 54917 - 54909), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(51) + chr(0b10110 + 0o34), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(1841 - 1792) + '\x32', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(0b111 + 0o56) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0'), chr(0b1001111 + 0o25) + '\145' + chr(2442 - 2343) + chr(0b1101111) + chr(100) + chr(0b1000010 + 0o43))(chr(12975 - 12858) + '\x74' + chr(0b1100110) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def QYJRnT4C8pPr():
M_Mq80r9letM = Bm3NCCYMMXjd.nn.Sequential()
with xafqLlk3kkUe(M_Mq80r9letM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xc1&\xaa\xcb\xd9\x8a\xcf\x8c\xea'), chr(0b10101 + 0o117) + '\x65' + chr(0b1100011) + chr(0b111101 + 0o62) + '\144' + chr(0b110000 + 0o65))(chr(117) + '\x74' + chr(0b1011 + 0o133) + chr(0b101101) + chr(0b111000)))():
xafqLlk3kkUe(M_Mq80r9letM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xea{\xbe\xad\xc9\xae\x95\xa6\xc0\xdd\xcc'), chr(0b1011000 + 0o14) + chr(101) + chr(99) + chr(0b1101111) + chr(9124 - 9024) + chr(6345 - 6244))(chr(117) + '\x74' + '\x66' + chr(718 - 673) + chr(0b111000)))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xcf%\xb9\xa6\xee\xbd\xd2\x9d\xe1\xfc\x8f\xdcA\xce'), '\144' + '\x65' + '\143' + chr(0b1101111) + '\x64' + '\145')(chr(117) + chr(0b110011 + 0o101) + chr(0b1011000 + 0o16) + chr(1333 - 1288) + chr(0b11011 + 0o35)))(channels=ehT0Px3KOsy9(chr(1113 - 1065) + '\x6f' + chr(0b1010 + 0o47) + '\x30' + chr(1126 - 1078) + chr(0b10101 + 0o33), 0b1000), kernel_size=ehT0Px3KOsy9('\060' + chr(0b0 + 0o157) + chr(0b110100), 59635 - 59627), strides=ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + '\061', 0b1000), padding=ehT0Px3KOsy9('\060' + chr(8907 - 8796) + chr(0b1 + 0o57), 0o10), use_bias=ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1 + 0o57), 8)))
xafqLlk3kkUe(M_Mq80r9letM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xea{\xbe\xad\xc9\xae\x95\xa6\xc0\xdd\xcc'), '\144' + chr(101) + chr(7461 - 7362) + chr(0b1000111 + 0o50) + chr(3751 - 3651) + chr(101))(chr(7756 - 7639) + chr(0b110 + 0o156) + chr(0b101100 + 0o72) + chr(45) + chr(0b1 + 0o67)))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xc1?\xac\xfc\xe4\x86\xd2\x91'), '\x64' + '\145' + chr(7123 - 7024) + chr(0b1101111) + chr(0b1000 + 0o134) + chr(0b110110 + 0o57))('\165' + chr(116) + chr(0b1100110) + chr(397 - 352) + chr(0b101100 + 0o14)))())
xafqLlk3kkUe(M_Mq80r9letM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xea{\xbe\xad\xc9\xae\x95\xa6\xc0\xdd\xcc'), chr(100) + '\145' + chr(0b11 + 0o140) + '\x6f' + chr(1168 - 1068) + chr(10148 - 10047))(chr(8024 - 7907) + chr(4609 - 4493) + chr(102) + chr(0b11101 + 0o20) + chr(0b111000)))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xc5*\xa4\xed\xf8\x8c\xec\xa9'), '\x64' + chr(0b11111 + 0o106) + chr(99) + '\157' + chr(0b1100100) + chr(0b110000 + 0o65))('\x75' + '\164' + '\146' + '\x2d' + '\070'))(0.2))
xafqLlk3kkUe(M_Mq80r9letM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xea{\xbe\xad\xc9\xae\x95\xa6\xc0\xdd\xcc'), '\x64' + '\145' + '\143' + chr(0b1100111 + 0o10) + '\144' + chr(0b1100101))(chr(12544 - 12427) + chr(0b1000011 + 0o61) + chr(9157 - 9055) + chr(45) + '\x38'))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xcf%\xb9\xa6\xee\xbd\xd2\x9d\xe1\xfc\x8f\xdcA\xce'), chr(0b1100100) + chr(0b1100101) + chr(1895 - 1796) + '\x6f' + chr(100) + chr(0b1100101))('\x75' + chr(0b1000001 + 0o63) + chr(102) + chr(0b101101) + '\x38'))(channels=ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(0b110100) + '\x30' + '\060', 0o10), kernel_size=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(52), 8), strides=ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(50), 0b1000), padding=ehT0Px3KOsy9('\x30' + chr(5659 - 5548) + chr(0b110001), 8), use_bias=ehT0Px3KOsy9(chr(319 - 271) + '\x6f' + '\060', 8)))
xafqLlk3kkUe(M_Mq80r9letM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xea{\xbe\xad\xc9\xae\x95\xa6\xc0\xdd\xcc'), chr(0b110100 + 0o60) + chr(592 - 491) + '\x63' + '\157' + chr(0b10000 + 0o124) + chr(0b1100101))(chr(5939 - 5822) + '\164' + chr(5386 - 5284) + '\x2d' + '\070'))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xc1?\xac\xfc\xe4\x86\xd2\x91'), chr(0b1100100) + chr(0b1100101) + chr(5969 - 5870) + chr(0b1101111) + chr(1048 - 948) + chr(101))(chr(3148 - 3031) + chr(0b1000100 + 0o60) + chr(0b1111 + 0o127) + chr(1445 - 1400) + chr(0b111000)))())
xafqLlk3kkUe(M_Mq80r9letM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xea{\xbe\xad\xc9\xae\x95\xa6\xc0\xdd\xcc'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + chr(100) + chr(101))('\165' + chr(12496 - 12380) + '\146' + '\055' + chr(56)))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xc5*\xa4\xed\xf8\x8c\xec\xa9'), chr(0b1100100) + '\145' + chr(7898 - 7799) + chr(0b100001 + 0o116) + '\144' + '\x65')(chr(0b1110101) + chr(0b1100001 + 0o23) + chr(0b1100110) + chr(45) + '\070'))(0.2))
xafqLlk3kkUe(M_Mq80r9letM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xea{\xbe\xad\xc9\xae\x95\xa6\xc0\xdd\xcc'), '\x64' + '\x65' + chr(3838 - 3739) + chr(12274 - 12163) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1010 + 0o152) + chr(0b1100110) + chr(946 - 901) + chr(0b110010 + 0o6)))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xcf%\xb9\xa6\xee\xbd\xd2\x9d\xe1\xfc\x8f\xdcA\xce'), chr(100) + chr(0b1100101) + '\x63' + chr(9531 - 9420) + chr(100) + chr(2995 - 2894))(chr(0b1110101) + chr(0b1000 + 0o154) + '\x66' + '\x2d' + chr(0b110110 + 0o2)))(channels=ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100110 + 0o14) + chr(0b110000) + chr(0b1101 + 0o43), ord("\x08")), kernel_size=ehT0Px3KOsy9('\x30' + chr(111) + '\x34', 8), strides=ehT0Px3KOsy9('\060' + chr(111) + '\x32', 8), padding=ehT0Px3KOsy9('\x30' + '\157' + '\x31', 8), use_bias=ehT0Px3KOsy9(chr(1236 - 1188) + chr(111) + chr(48), 8)))
xafqLlk3kkUe(M_Mq80r9letM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xea{\xbe\xad\xc9\xae\x95\xa6\xc0\xdd\xcc'), chr(100) + chr(0b1010100 + 0o21) + chr(99) + '\157' + chr(4955 - 4855) + chr(0b1100101))(chr(117) + '\x74' + chr(2837 - 2735) + '\x2d' + chr(0b100011 + 0o25)))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xc1?\xac\xfc\xe4\x86\xd2\x91'), chr(6827 - 6727) + '\145' + chr(99) + chr(111) + chr(3773 - 3673) + chr(9019 - 8918))('\165' + chr(116) + '\x66' + chr(0b1000 + 0o45) + chr(56)))())
xafqLlk3kkUe(M_Mq80r9letM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xea{\xbe\xad\xc9\xae\x95\xa6\xc0\xdd\xcc'), '\144' + chr(0b1100101) + chr(2153 - 2054) + chr(0b1010010 + 0o35) + chr(0b1100100) + chr(0b110000 + 0o65))(chr(0b1 + 0o164) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xc5*\xa4\xed\xf8\x8c\xec\xa9'), chr(0b1100100) + '\x65' + chr(0b10011 + 0o120) + '\157' + chr(0b110111 + 0o55) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(10204 - 10102) + chr(825 - 780) + chr(56)))(0.2))
xafqLlk3kkUe(M_Mq80r9letM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xea{\xbe\xad\xc9\xae\x95\xa6\xc0\xdd\xcc'), chr(1802 - 1702) + chr(6965 - 6864) + chr(2670 - 2571) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(117) + chr(0b110000 + 0o104) + chr(0b1100110) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xcf%\xb9\xa6\xee\xbd\xd2\x9d\xe1\xfc\x8f\xdcA\xce'), chr(7578 - 7478) + '\145' + '\143' + '\x6f' + chr(0b1100100) + chr(2249 - 2148))('\x75' + chr(0b1010001 + 0o43) + '\146' + chr(45) + '\070'))(channels=ehT0Px3KOsy9('\x30' + chr(9064 - 8953) + chr(49) + chr(1136 - 1088) + chr(1206 - 1158), 0b1000), kernel_size=ehT0Px3KOsy9('\060' + chr(4347 - 4236) + chr(0b1 + 0o63), 8), strides=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010), 8), padding=ehT0Px3KOsy9(chr(48) + '\157' + chr(49), 8), use_bias=ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + '\060', 8)))
xafqLlk3kkUe(M_Mq80r9letM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xea{\xbe\xad\xc9\xae\x95\xa6\xc0\xdd\xcc'), chr(0b1000000 + 0o44) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b11 + 0o141) + chr(0b1100101))(chr(523 - 406) + '\164' + chr(7901 - 7799) + '\055' + '\070'))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xc1?\xac\xfc\xe4\x86\xd2\x91'), chr(0b1100100) + chr(0b10101 + 0o120) + chr(0b10 + 0o141) + '\157' + chr(0b101101 + 0o67) + chr(0b1010011 + 0o22))('\x75' + chr(0b1110100) + '\x66' + '\055' + '\070'))())
xafqLlk3kkUe(M_Mq80r9letM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xea{\xbe\xad\xc9\xae\x95\xa6\xc0\xdd\xcc'), '\144' + chr(0b10011 + 0o122) + '\x63' + '\157' + chr(0b1100100) + '\145')('\x75' + chr(6121 - 6005) + chr(0b1100110) + chr(45) + chr(2848 - 2792)))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xc5*\xa4\xed\xf8\x8c\xec\xa9'), chr(0b1100100) + chr(101) + chr(0b1010010 + 0o21) + chr(0b111111 + 0o60) + chr(0b101010 + 0o72) + '\x65')('\x75' + '\164' + '\x66' + '\x2d' + chr(1404 - 1348)))(0.2))
xafqLlk3kkUe(M_Mq80r9letM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xea{\xbe\xad\xc9\xae\x95\xa6\xc0\xdd\xcc'), chr(682 - 582) + chr(8206 - 8105) + chr(99) + '\x6f' + chr(100) + '\145')(chr(0b110111 + 0o76) + chr(8643 - 8527) + '\146' + '\x2d' + chr(0b11001 + 0o37)))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xcf%\xb9\xa6\xee\xbd\xd2\x9d\xe1\xfc\x8f\xdcA\xce'), chr(0b110101 + 0o57) + chr(101) + '\143' + '\157' + chr(0b1010110 + 0o16) + chr(0b1100101))(chr(0b10000 + 0o145) + chr(0b1011011 + 0o31) + chr(0b1100110) + chr(0b1000 + 0o45) + chr(0b100011 + 0o25)))(channels=ehT0Px3KOsy9('\x30' + chr(111) + chr(51), ord("\x08")), kernel_size=ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(6491 - 6380) + chr(0b110100), 8), strides=ehT0Px3KOsy9(chr(655 - 607) + '\x6f' + '\062', 8), padding=ehT0Px3KOsy9(chr(48) + chr(0b1100101 + 0o12) + '\061', 8), use_bias=ehT0Px3KOsy9('\060' + '\157' + chr(198 - 150), 8)))
xafqLlk3kkUe(M_Mq80r9letM, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xea{\xbe\xad\xc9\xae\x95\xa6\xc0\xdd\xcc'), '\144' + chr(101) + chr(0b10001 + 0o122) + '\x6f' + chr(9601 - 9501) + chr(8266 - 8165))(chr(0b1110101) + chr(4019 - 3903) + chr(102) + chr(0b11101 + 0o20) + '\x38'))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\xc3?\xa6\xe2\xcb\x9d\xc9\x93\xe1'), chr(100) + chr(101) + chr(1829 - 1730) + chr(0b1101111) + chr(100) + chr(609 - 508))('\x75' + chr(0b1110100) + chr(0b110100 + 0o62) + chr(1269 - 1224) + chr(402 - 346)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xc1%\xa7'), chr(0b110 + 0o136) + '\145' + chr(0b1100001 + 0o2) + '\x6f' + '\144' + chr(101))(chr(8398 - 8281) + chr(535 - 419) + '\146' + chr(146 - 101) + chr(0b111000))))
return M_Mq80r9letM
|
apache/incubator-mxnet
|
example/gluon/sn_gan/model.py
|
get_descriptor
|
def get_descriptor(ctx):
""" construct and return descriptor """
d_net = gluon.nn.Sequential()
with d_net.name_scope():
d_net.add(SNConv2D(num_filter=64, kernel_size=4, strides=2, padding=1, in_channels=3, ctx=ctx))
d_net.add(gluon.nn.LeakyReLU(0.2))
d_net.add(SNConv2D(num_filter=128, kernel_size=4, strides=2, padding=1, in_channels=64, ctx=ctx))
d_net.add(gluon.nn.LeakyReLU(0.2))
d_net.add(SNConv2D(num_filter=256, kernel_size=4, strides=2, padding=1, in_channels=128, ctx=ctx))
d_net.add(gluon.nn.LeakyReLU(0.2))
d_net.add(SNConv2D(num_filter=512, kernel_size=4, strides=2, padding=1, in_channels=256, ctx=ctx))
d_net.add(gluon.nn.LeakyReLU(0.2))
d_net.add(SNConv2D(num_filter=1, kernel_size=4, strides=1, padding=0, in_channels=512, ctx=ctx))
return d_net
|
python
|
def get_descriptor(ctx):
""" construct and return descriptor """
d_net = gluon.nn.Sequential()
with d_net.name_scope():
d_net.add(SNConv2D(num_filter=64, kernel_size=4, strides=2, padding=1, in_channels=3, ctx=ctx))
d_net.add(gluon.nn.LeakyReLU(0.2))
d_net.add(SNConv2D(num_filter=128, kernel_size=4, strides=2, padding=1, in_channels=64, ctx=ctx))
d_net.add(gluon.nn.LeakyReLU(0.2))
d_net.add(SNConv2D(num_filter=256, kernel_size=4, strides=2, padding=1, in_channels=128, ctx=ctx))
d_net.add(gluon.nn.LeakyReLU(0.2))
d_net.add(SNConv2D(num_filter=512, kernel_size=4, strides=2, padding=1, in_channels=256, ctx=ctx))
d_net.add(gluon.nn.LeakyReLU(0.2))
d_net.add(SNConv2D(num_filter=1, kernel_size=4, strides=1, padding=0, in_channels=512, ctx=ctx))
return d_net
|
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construct and return descriptor
|
[
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/sn_gan/model.py#L120-L139
|
train
|
construct and return a new descriptor
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(54) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(0b101110 + 0o3) + chr(55) + '\063', 0o10), ehT0Px3KOsy9(chr(396 - 348) + chr(0b1101111) + chr(0b110011) + '\x34' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(853 - 805) + chr(0b100001 + 0o116) + chr(0b110110) + '\063', 61363 - 61355), ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + chr(0b101010 + 0o11) + chr(1016 - 961) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + chr(0b110001) + chr(197 - 143) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(49) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(50) + chr(0b100110 + 0o17), 0b1000), ehT0Px3KOsy9(chr(2291 - 2243) + '\157' + chr(49) + chr(0b110110) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(2834 - 2723) + chr(957 - 907) + chr(0b110010) + chr(2619 - 2564), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(660 - 611) + '\x37' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\x32' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1076 - 1028) + chr(0b1011111 + 0o20) + chr(0b11100 + 0o26) + chr(0b110100) + '\060', 12074 - 12066), ehT0Px3KOsy9('\x30' + chr(0b1100101 + 0o12) + chr(0b100101 + 0o15) + chr(231 - 180), 0o10), ehT0Px3KOsy9(chr(1067 - 1019) + chr(111) + '\061' + '\x34' + chr(0b1101 + 0o50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x34' + chr(671 - 623), 41261 - 41253), ehT0Px3KOsy9('\x30' + '\x6f' + chr(936 - 886) + '\062' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\x31' + chr(0b110100) + chr(0b11011 + 0o32), 8), ehT0Px3KOsy9('\x30' + chr(11649 - 11538) + chr(55) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1201 - 1153) + '\x6f' + '\062' + chr(0b110100) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + chr(50) + chr(0b110000) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b10011 + 0o35) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(2274 - 2226) + chr(111) + '\061' + chr(1281 - 1227) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1722 - 1674) + '\x6f' + chr(188 - 138) + chr(2390 - 2337) + chr(0b110100), 19707 - 19699), ehT0Px3KOsy9('\060' + chr(111) + chr(945 - 894) + '\x36' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1102 - 1054) + '\x6f' + chr(0b101110 + 0o3) + '\x30' + '\067', 37894 - 37886), ehT0Px3KOsy9(chr(1215 - 1167) + chr(111) + chr(49) + '\066' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\062' + chr(1165 - 1111) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7951 - 7840) + '\x31' + '\x35' + chr(0b1011 + 0o46), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + '\x33' + chr(0b110011) + '\060', 49778 - 49770), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + chr(51) + chr(54) + chr(0b11010 + 0o35), 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(1180 - 1129) + chr(1499 - 1448) + chr(0b11000 + 0o37), 34912 - 34904), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b110101) + chr(0b101011 + 0o7), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(0b110010) + '\067' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + '\x31' + chr(664 - 610) + chr(0b110000), 46146 - 46138), ehT0Px3KOsy9('\060' + '\157' + chr(632 - 583) + chr(2785 - 2731) + '\x30', 8), ehT0Px3KOsy9('\060' + chr(0b111100 + 0o63) + chr(51) + '\064' + chr(0b11001 + 0o33), 18697 - 18689), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b10001 + 0o44) + chr(0b1010 + 0o53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11111 + 0o120) + chr(0b101001 + 0o12) + chr(1106 - 1058) + '\060', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(10383 - 10272) + '\065' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x19'), chr(0b110011 + 0o61) + chr(0b1100101) + chr(0b110001 + 0o62) + '\157' + '\144' + chr(0b1100101))('\165' + '\164' + '\x66' + '\055' + chr(414 - 358)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def pMjVPMOebezM(oM3jLo753XfX):
GHc4cnTTdpc2 = Bm3NCCYMMXjd.nn.Sequential()
with xafqLlk3kkUe(GHc4cnTTdpc2, xafqLlk3kkUe(SXOLrMavuUCe(b'Y\x1a\x8eV\xa4\x00+:\x02\xf2'), '\144' + chr(1104 - 1003) + chr(0b111001 + 0o52) + chr(0b1101111) + '\144' + chr(0b10101 + 0o120))(chr(117) + chr(0b1100001 + 0o23) + chr(1260 - 1158) + '\055' + chr(1804 - 1748)))():
xafqLlk3kkUe(GHc4cnTTdpc2, xafqLlk3kkUe(SXOLrMavuUCe(b'B1\xd3B\xc2\x10\x0f`(\xd8.\xa1'), chr(5464 - 5364) + '\145' + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(6727 - 6610) + chr(0b1110100) + chr(0b1100110) + chr(1184 - 1139) + chr(0b111000)))(Uswcu0471ynB(num_filter=ehT0Px3KOsy9(chr(431 - 383) + chr(111) + chr(0b100011 + 0o16) + '\x30' + chr(0b10111 + 0o31), ord("\x08")), kernel_size=ehT0Px3KOsy9(chr(600 - 552) + chr(111) + '\x34', 0o10), strides=ehT0Px3KOsy9('\060' + chr(0b1101100 + 0o3) + chr(0b110010), 0o10), padding=ehT0Px3KOsy9(chr(1039 - 991) + chr(3896 - 3785) + '\x31', 60132 - 60124), in_channels=ehT0Px3KOsy9(chr(48) + chr(0b11100 + 0o123) + chr(2547 - 2496), 0b1000), ctx=oM3jLo753XfX))
xafqLlk3kkUe(GHc4cnTTdpc2, xafqLlk3kkUe(SXOLrMavuUCe(b'B1\xd3B\xc2\x10\x0f`(\xd8.\xa1'), '\144' + '\x65' + '\x63' + chr(111) + chr(100) + chr(101))(chr(0b1110101) + chr(116) + '\x66' + '\055' + chr(0b110111 + 0o1)))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b"{\x1e\x82X\x82!-\x19'"), chr(7839 - 7739) + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + chr(9349 - 9248))(chr(0b1110001 + 0o4) + chr(116) + chr(102) + chr(45) + '\070'))(0.2))
xafqLlk3kkUe(GHc4cnTTdpc2, xafqLlk3kkUe(SXOLrMavuUCe(b'B1\xd3B\xc2\x10\x0f`(\xd8.\xa1'), '\x64' + chr(101) + chr(0b1100011) + chr(111) + chr(2337 - 2237) + chr(101))('\165' + chr(0b1110100) + chr(102) + chr(0b11101 + 0o20) + '\x38'))(Uswcu0471ynB(num_filter=ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(485 - 437) + chr(1400 - 1352), 8), kernel_size=ehT0Px3KOsy9('\x30' + chr(0b111000 + 0o67) + chr(0b1111 + 0o45), 8), strides=ehT0Px3KOsy9('\060' + chr(7923 - 7812) + chr(50), 8), padding=ehT0Px3KOsy9(chr(456 - 408) + chr(9650 - 9539) + chr(49), 8), in_channels=ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + '\x31' + chr(0b110000) + chr(1962 - 1914), 8), ctx=oM3jLo753XfX))
xafqLlk3kkUe(GHc4cnTTdpc2, xafqLlk3kkUe(SXOLrMavuUCe(b'B1\xd3B\xc2\x10\x0f`(\xd8.\xa1'), chr(0b111000 + 0o54) + '\x65' + '\143' + chr(111) + '\x64' + chr(8501 - 8400))(chr(117) + chr(5412 - 5296) + chr(0b1100101 + 0o1) + '\055' + chr(0b111000)))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b"{\x1e\x82X\x82!-\x19'"), chr(0b1100100) + chr(0b1010001 + 0o24) + chr(0b1100011) + '\157' + chr(0b1111 + 0o125) + chr(6975 - 6874))(chr(0b1110101) + chr(0b1101111 + 0o5) + chr(559 - 457) + chr(45) + chr(56)))(0.2))
xafqLlk3kkUe(GHc4cnTTdpc2, xafqLlk3kkUe(SXOLrMavuUCe(b'B1\xd3B\xc2\x10\x0f`(\xd8.\xa1'), '\144' + chr(0b1100101) + '\x63' + chr(111) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b1101100 + 0o10) + '\146' + chr(198 - 153) + chr(0b10000 + 0o50)))(Uswcu0471ynB(num_filter=ehT0Px3KOsy9(chr(59 - 11) + chr(8380 - 8269) + chr(1877 - 1825) + chr(0b110000 + 0o0) + chr(1458 - 1410), 0o10), kernel_size=ehT0Px3KOsy9(chr(1673 - 1625) + chr(0b11 + 0o154) + '\x34', 8), strides=ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + chr(0b110010), 8), padding=ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(5727 - 5616) + '\x31', 8), in_channels=ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b110000) + chr(0b110000), 8), ctx=oM3jLo753XfX))
xafqLlk3kkUe(GHc4cnTTdpc2, xafqLlk3kkUe(SXOLrMavuUCe(b'B1\xd3B\xc2\x10\x0f`(\xd8.\xa1'), chr(1348 - 1248) + chr(0b1100101) + '\143' + chr(111) + '\x64' + chr(0b1000111 + 0o36))('\165' + chr(0b1110100) + '\x66' + chr(0b101101) + '\070'))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b"{\x1e\x82X\x82!-\x19'"), chr(100) + chr(0b1100101) + chr(9293 - 9194) + '\157' + chr(0b1011001 + 0o13) + chr(8055 - 7954))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b10001 + 0o34) + chr(0b111000)))(0.2))
xafqLlk3kkUe(GHc4cnTTdpc2, xafqLlk3kkUe(SXOLrMavuUCe(b'B1\xd3B\xc2\x10\x0f`(\xd8.\xa1'), '\x64' + chr(101) + chr(3188 - 3089) + '\x6f' + chr(6020 - 5920) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + chr(56)))(Uswcu0471ynB(num_filter=ehT0Px3KOsy9(chr(48) + '\157' + chr(907 - 858) + chr(0b110000) + '\x30' + chr(0b110000), 0o10), kernel_size=ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b110101 + 0o72) + chr(0b101110 + 0o6), 8), strides=ehT0Px3KOsy9(chr(48) + chr(0b11 + 0o154) + '\062', 8), padding=ehT0Px3KOsy9(chr(971 - 923) + chr(111) + chr(0b100000 + 0o21), 8), in_channels=ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + chr(2014 - 1962) + chr(0b100110 + 0o12) + '\x30', 8), ctx=oM3jLo753XfX))
xafqLlk3kkUe(GHc4cnTTdpc2, xafqLlk3kkUe(SXOLrMavuUCe(b'B1\xd3B\xc2\x10\x0f`(\xd8.\xa1'), chr(0b1000 + 0o134) + chr(0b111100 + 0o51) + chr(99) + '\157' + chr(8667 - 8567) + chr(101))(chr(1900 - 1783) + chr(116) + chr(1860 - 1758) + chr(1091 - 1046) + chr(56)))(xafqLlk3kkUe(Bm3NCCYMMXjd.nn, xafqLlk3kkUe(SXOLrMavuUCe(b"{\x1e\x82X\x82!-\x19'"), '\144' + chr(101) + chr(3568 - 3469) + chr(2788 - 2677) + '\x64' + chr(715 - 614))(chr(0b1110101) + '\164' + chr(7050 - 6948) + chr(45) + chr(0b101100 + 0o14)))(0.2))
xafqLlk3kkUe(GHc4cnTTdpc2, xafqLlk3kkUe(SXOLrMavuUCe(b'B1\xd3B\xc2\x10\x0f`(\xd8.\xa1'), '\x64' + chr(0b110111 + 0o56) + chr(0b1100011) + '\x6f' + chr(0b101011 + 0o71) + chr(101))(chr(0b1110101) + chr(7507 - 7391) + chr(0b1100110) + chr(726 - 681) + '\070'))(Uswcu0471ynB(num_filter=ehT0Px3KOsy9('\060' + chr(6520 - 6409) + chr(0b11010 + 0o27), 8), kernel_size=ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(52), 8), strides=ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + '\x31', 8), padding=ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + '\x30', 12375 - 12367), in_channels=ehT0Px3KOsy9(chr(1780 - 1732) + chr(8738 - 8627) + '\061' + '\060' + chr(706 - 658) + chr(48), 8), ctx=oM3jLo753XfX))
return GHc4cnTTdpc2
|
apache/incubator-mxnet
|
example/gluon/sn_gan/model.py
|
SNConv2D._spectral_norm
|
def _spectral_norm(self):
""" spectral normalization """
w = self.params.get('weight').data(self.ctx)
w_mat = nd.reshape(w, [w.shape[0], -1])
_u = self.u.data(self.ctx)
_v = None
for _ in range(POWER_ITERATION):
_v = nd.L2Normalization(nd.dot(_u, w_mat))
_u = nd.L2Normalization(nd.dot(_v, w_mat.T))
sigma = nd.sum(nd.dot(_u, w_mat) * _v)
if sigma == 0.:
sigma = EPSILON
with autograd.pause():
self.u.set_data(_u)
return w / sigma
|
python
|
def _spectral_norm(self):
""" spectral normalization """
w = self.params.get('weight').data(self.ctx)
w_mat = nd.reshape(w, [w.shape[0], -1])
_u = self.u.data(self.ctx)
_v = None
for _ in range(POWER_ITERATION):
_v = nd.L2Normalization(nd.dot(_u, w_mat))
_u = nd.L2Normalization(nd.dot(_v, w_mat.T))
sigma = nd.sum(nd.dot(_u, w_mat) * _v)
if sigma == 0.:
sigma = EPSILON
with autograd.pause():
self.u.set_data(_u)
return w / sigma
|
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spectral normalization
|
[
"spectral",
"normalization"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/gluon/sn_gan/model.py#L55-L74
|
train
|
spectral normalization
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(52) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x36' + '\x34', 31225 - 31217), ehT0Px3KOsy9(chr(362 - 314) + chr(5274 - 5163) + chr(2297 - 2249), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b11100 + 0o24) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100110 + 0o15) + '\x37' + '\067', 54191 - 54183), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\x30' + chr(0b1010 + 0o50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1783 - 1672) + chr(0b110101) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6433 - 6322) + chr(0b101011 + 0o10) + chr(51) + '\066', 57723 - 57715), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(479 - 427) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11001 + 0o126) + '\066' + '\x31', 11545 - 11537), ehT0Px3KOsy9(chr(1044 - 996) + chr(0b1110 + 0o141) + '\063' + '\x30' + chr(53), 0o10), ehT0Px3KOsy9(chr(1084 - 1036) + chr(7931 - 7820) + '\064' + '\x34', 25317 - 25309), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110000) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(2242 - 2194) + '\157' + '\061' + '\x34' + chr(1028 - 976), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(54) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(0b110010) + '\066' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(8199 - 8088) + chr(0b110001) + chr(377 - 327), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + chr(1413 - 1363) + '\x35' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x37' + chr(53), 52190 - 52182), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1100110 + 0o11) + chr(0b110001) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + '\062' + chr(813 - 759), 55277 - 55269), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\064' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101110 + 0o1) + '\x31' + chr(51) + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b11100 + 0o26) + '\063', 48015 - 48007), ehT0Px3KOsy9('\060' + chr(3953 - 3842) + '\x31' + chr(590 - 538) + '\063', 0o10), ehT0Px3KOsy9(chr(2050 - 2002) + chr(2071 - 1960) + '\066' + chr(0b1001 + 0o53), 8), ehT0Px3KOsy9('\060' + chr(5024 - 4913) + '\062' + chr(0b110000) + chr(0b110000), 9449 - 9441), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x32' + chr(0b110000 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3038 - 2927) + chr(0b110001) + chr(0b110000) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(235 - 187) + chr(111) + '\061' + '\x35' + chr(678 - 630), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11010 + 0o125) + '\x31' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x37' + chr(0b1100 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(849 - 801) + chr(0b1101111) + '\061' + chr(0b110111) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + chr(1771 - 1722) + '\x37' + chr(0b10001 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101100 + 0o103) + chr(0b101101 + 0o5) + chr(647 - 592) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1154 - 1106) + chr(0b1101111) + chr(2544 - 2493) + chr(2095 - 2045) + chr(0b110000), 41179 - 41171), ehT0Px3KOsy9('\060' + chr(2015 - 1904) + chr(1837 - 1786) + chr(53) + chr(0b110100), 64975 - 64967), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b110010) + '\x32', 15666 - 15658), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\x35' + '\x36', 12064 - 12056), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + chr(0b110110) + chr(51), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(3566 - 3455) + chr(1181 - 1128) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\r'), '\144' + '\145' + chr(0b100101 + 0o76) + chr(0b1101111) + chr(100) + '\145')(chr(0b10001 + 0o144) + '\x74' + chr(0b1100110) + chr(0b1010 + 0o43) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def s6dbWmRlbQxG(oVre8I6UXc3b):
AOfzRywRzEXp = oVre8I6UXc3b.params.get(xafqLlk3kkUe(SXOLrMavuUCe(b'TQi\xa7\x97\xf6'), chr(100) + chr(0b1010011 + 0o22) + chr(99) + '\157' + chr(0b1100100) + chr(0b1000011 + 0o42))(chr(4423 - 4306) + '\x74' + chr(0b11101 + 0o111) + chr(45) + chr(0b101100 + 0o14))).ULnjp6D6efFH(oVre8I6UXc3b.oM3jLo753XfX)
MHh8CHfOm_gw = Vy_CFRcuYrTj.reshape(AOfzRywRzEXp, [AOfzRywRzEXp.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 8)], -ehT0Px3KOsy9(chr(1595 - 1547) + chr(111) + '\061', 0o10)])
dalcwaTcKRLd = oVre8I6UXc3b.u.ULnjp6D6efFH(oVre8I6UXc3b.oM3jLo753XfX)
L0SBRoXfR1vo = None
for VNGQdHSFPrso in vQr8gNKaIaWE(Vt2W6Zfw8PHe):
L0SBRoXfR1vo = Vy_CFRcuYrTj.L2Normalization(Vy_CFRcuYrTj.dot(dalcwaTcKRLd, MHh8CHfOm_gw))
dalcwaTcKRLd = Vy_CFRcuYrTj.L2Normalization(Vy_CFRcuYrTj.dot(L0SBRoXfR1vo, MHh8CHfOm_gw.T))
fxNeGsNj_cv6 = Vy_CFRcuYrTj.xkxBmo49x2An(Vy_CFRcuYrTj.dot(dalcwaTcKRLd, MHh8CHfOm_gw) * L0SBRoXfR1vo)
if fxNeGsNj_cv6 == 0.0:
fxNeGsNj_cv6 = m5UTVw1WLEwe
with xafqLlk3kkUe(EGX9rjIuh37Q, xafqLlk3kkUe(SXOLrMavuUCe(b'SUu\xb3\x9a'), chr(7851 - 7751) + chr(101) + chr(1081 - 982) + '\x6f' + chr(0b1100100) + '\145')('\x75' + chr(116) + chr(0b1100110) + '\055' + '\070'))():
xafqLlk3kkUe(oVre8I6UXc3b.u, xafqLlk3kkUe(SXOLrMavuUCe(b'PQt\x9f\x9b\xe3_\xbf'), '\x64' + chr(101) + chr(0b1100011) + chr(2224 - 2113) + chr(6677 - 6577) + '\x65')(chr(117) + chr(1606 - 1490) + chr(8160 - 8058) + chr(0b101101) + '\x38'))(dalcwaTcKRLd)
return AOfzRywRzEXp / fxNeGsNj_cv6
|
apache/incubator-mxnet
|
example/speech_recognition/stt_utils.py
|
conv_output_length
|
def conv_output_length(input_length, filter_size, border_mode, stride,
dilation=1):
""" Compute the length of the output sequence after 1D convolution along
time. Note that this function is in line with the function used in
Convolution1D class from Keras.
Params:
input_length (int): Length of the input sequence.
filter_size (int): Width of the convolution kernel.
border_mode (str): Only support `same` or `valid`.
stride (int): Stride size used in 1D convolution.
dilation (int)
"""
if input_length is None:
return None
assert border_mode in {'same', 'valid'}
dilated_filter_size = filter_size + (filter_size - 1) * (dilation - 1)
if border_mode == 'same':
output_length = input_length
elif border_mode == 'valid':
output_length = input_length - dilated_filter_size + 1
return (output_length + stride - 1) // stride
|
python
|
def conv_output_length(input_length, filter_size, border_mode, stride,
dilation=1):
""" Compute the length of the output sequence after 1D convolution along
time. Note that this function is in line with the function used in
Convolution1D class from Keras.
Params:
input_length (int): Length of the input sequence.
filter_size (int): Width of the convolution kernel.
border_mode (str): Only support `same` or `valid`.
stride (int): Stride size used in 1D convolution.
dilation (int)
"""
if input_length is None:
return None
assert border_mode in {'same', 'valid'}
dilated_filter_size = filter_size + (filter_size - 1) * (dilation - 1)
if border_mode == 'same':
output_length = input_length
elif border_mode == 'valid':
output_length = input_length - dilated_filter_size + 1
return (output_length + stride - 1) // stride
|
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filter_size (int): Width of the convolution kernel.
border_mode (str): Only support `same` or `valid`.
stride (int): Stride size used in 1D convolution.
dilation (int)
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/speech_recognition/stt_utils.py#L30-L50
|
train
|
Compute the length of the output sequence after 1D convolution along the Keras module.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\063' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(2148 - 2100) + chr(0b1101111) + chr(49) + '\064' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b110000) + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110100) + chr(0b1010 + 0o53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1770 - 1721) + chr(99 - 46) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(375 - 325) + chr(0b101 + 0o61) + '\062', 0o10), ehT0Px3KOsy9(chr(274 - 226) + chr(111) + chr(51) + chr(0b110111) + '\x35', 38534 - 38526), ehT0Px3KOsy9('\x30' + chr(111) + chr(1501 - 1452) + chr(0b110011) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110110 + 0o71) + chr(1246 - 1197) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(52) + chr(145 - 97), 0b1000), ehT0Px3KOsy9(chr(2115 - 2067) + chr(0b110 + 0o151) + chr(50) + chr(0b11101 + 0o27) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11011 + 0o26) + chr(0b110101) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\061' + '\061' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(755 - 704) + '\065' + '\x36', 41462 - 41454), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x36' + chr(1093 - 1042), ord("\x08")), ehT0Px3KOsy9(chr(1162 - 1114) + '\157' + chr(50) + '\x32' + chr(2036 - 1986), 7571 - 7563), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\x31' + chr(0b11110 + 0o31) + '\x32', 22902 - 22894), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1011 + 0o144) + chr(1543 - 1493) + '\x33' + '\x30', 0o10), ehT0Px3KOsy9(chr(1195 - 1147) + chr(111) + '\x35' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\064' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10111 + 0o35) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(52) + '\065', 8), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\x34' + '\067', 8), ehT0Px3KOsy9(chr(1025 - 977) + '\x6f' + chr(0b10011 + 0o37) + '\x36' + chr(0b100111 + 0o13), 8), ehT0Px3KOsy9('\060' + '\157' + chr(1860 - 1811) + chr(435 - 380) + chr(0b10001 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(0b0 + 0o62) + '\062' + chr(50), 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b111010 + 0o65) + '\063' + chr(52) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011 + 0o144) + chr(1871 - 1820) + chr(0b1101 + 0o43) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11599 - 11488) + '\065' + chr(48), 49273 - 49265), ehT0Px3KOsy9('\x30' + chr(0b1000110 + 0o51) + '\x35' + chr(583 - 529), 8), ehT0Px3KOsy9(chr(587 - 539) + chr(111) + '\x32' + chr(0b11 + 0o62) + chr(0b100010 + 0o24), 0o10), ehT0Px3KOsy9(chr(48) + chr(3118 - 3007) + '\064' + chr(77 - 29), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(2332 - 2221) + '\064' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(7717 - 7606) + chr(0b110001) + '\065' + chr(51), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + chr(0b110111) + '\067', 7469 - 7461), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(4758 - 4647) + '\061' + chr(1929 - 1879) + chr(0b10010 + 0o37), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b101111 + 0o3) + chr(723 - 672), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\065' + chr(0b11101 + 0o23), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'q'), chr(0b1010100 + 0o20) + '\145' + '\143' + chr(0b1100110 + 0o11) + '\x64' + chr(0b1100101))(chr(117) + '\164' + '\x66' + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def j0jQBiH2MTT6(jhOh7kNKHblg, deybX8NJ0oEI, vWsX2zlU5_WB, VKQ5wcD30goF, rN6lbmvHk6T2=ehT0Px3KOsy9(chr(1805 - 1757) + chr(0b1101111) + chr(2260 - 2211), 8)):
if jhOh7kNKHblg is None:
return None
assert vWsX2zlU5_WB in {xafqLlk3kkUe(SXOLrMavuUCe(b',\x00,@'), '\x64' + chr(3629 - 3528) + '\x63' + chr(111) + chr(0b1100100) + chr(101))('\165' + chr(7977 - 7861) + '\x66' + chr(0b101101) + chr(0b10100 + 0o44)), xafqLlk3kkUe(SXOLrMavuUCe(b')\x00-L\n'), chr(5134 - 5034) + '\145' + chr(99) + chr(0b1101111) + chr(100) + '\145')('\x75' + chr(1250 - 1134) + chr(102) + chr(178 - 133) + chr(56))}
hZzhWbb5a2fq = deybX8NJ0oEI + (deybX8NJ0oEI - ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 8)) * (rN6lbmvHk6T2 - ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(0b110001), 8))
if vWsX2zlU5_WB == xafqLlk3kkUe(SXOLrMavuUCe(b',\x00,@'), '\x64' + '\x65' + chr(0b1100011) + '\157' + chr(0b1100100) + chr(7394 - 7293))(chr(0b1110101) + chr(0b1110100) + chr(0b1001100 + 0o32) + chr(0b0 + 0o55) + chr(752 - 696)):
JCqmqqXTiA0c = jhOh7kNKHblg
elif vWsX2zlU5_WB == xafqLlk3kkUe(SXOLrMavuUCe(b')\x00-L\n'), chr(7500 - 7400) + '\x65' + chr(0b1100011) + '\x6f' + chr(100) + '\x65')('\x75' + chr(0b1010000 + 0o44) + chr(102) + chr(45) + chr(0b11001 + 0o37)):
JCqmqqXTiA0c = jhOh7kNKHblg - hZzhWbb5a2fq + ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1000 + 0o51), 8)
return (JCqmqqXTiA0c + VKQ5wcD30goF - ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061', 8)) // VKQ5wcD30goF
|
apache/incubator-mxnet
|
example/speech_recognition/stt_utils.py
|
spectrogram
|
def spectrogram(samples, fft_length=256, sample_rate=2, hop_length=128):
"""
Compute the spectrogram for a real signal.
The parameters follow the naming convention of
matplotlib.mlab.specgram
Args:
samples (1D array): input audio signal
fft_length (int): number of elements in fft window
sample_rate (scalar): sample rate
hop_length (int): hop length (relative offset between neighboring
fft windows).
Returns:
x (2D array): spectrogram [frequency x time]
freq (1D array): frequency of each row in x
Note:
This is a truncating computation e.g. if fft_length=10,
hop_length=5 and the signal has 23 elements, then the
last 3 elements will be truncated.
"""
assert not np.iscomplexobj(samples), "Must not pass in complex numbers"
window = np.hanning(fft_length)[:, None]
window_norm = np.sum(window ** 2)
# The scaling below follows the convention of
# matplotlib.mlab.specgram which is the same as
# matlabs specgram.
scale = window_norm * sample_rate
trunc = (len(samples) - fft_length) % hop_length
x = samples[:len(samples) - trunc]
# "stride trick" reshape to include overlap
nshape = (fft_length, (len(x) - fft_length) // hop_length + 1)
nstrides = (x.strides[0], x.strides[0] * hop_length)
x = as_strided(x, shape=nshape, strides=nstrides)
# window stride sanity check
assert np.all(x[:, 1] == samples[hop_length:(hop_length + fft_length)])
# broadcast window, compute fft over columns and square mod
# This function computes the one-dimensional n-point discrete Fourier Transform (DFT) of a real-valued array by means of an efficient algorithm called the Fast Fourier Transform (FFT).
x = np.fft.rfft(x * window, axis=0)
x = np.absolute(x) ** 2
# scale, 2.0 for everything except dc and fft_length/2
x[1:-1, :] *= (2.0 / scale)
x[(0, -1), :] /= scale
freqs = float(sample_rate) / fft_length * np.arange(x.shape[0])
return x, freqs
|
python
|
def spectrogram(samples, fft_length=256, sample_rate=2, hop_length=128):
"""
Compute the spectrogram for a real signal.
The parameters follow the naming convention of
matplotlib.mlab.specgram
Args:
samples (1D array): input audio signal
fft_length (int): number of elements in fft window
sample_rate (scalar): sample rate
hop_length (int): hop length (relative offset between neighboring
fft windows).
Returns:
x (2D array): spectrogram [frequency x time]
freq (1D array): frequency of each row in x
Note:
This is a truncating computation e.g. if fft_length=10,
hop_length=5 and the signal has 23 elements, then the
last 3 elements will be truncated.
"""
assert not np.iscomplexobj(samples), "Must not pass in complex numbers"
window = np.hanning(fft_length)[:, None]
window_norm = np.sum(window ** 2)
# The scaling below follows the convention of
# matplotlib.mlab.specgram which is the same as
# matlabs specgram.
scale = window_norm * sample_rate
trunc = (len(samples) - fft_length) % hop_length
x = samples[:len(samples) - trunc]
# "stride trick" reshape to include overlap
nshape = (fft_length, (len(x) - fft_length) // hop_length + 1)
nstrides = (x.strides[0], x.strides[0] * hop_length)
x = as_strided(x, shape=nshape, strides=nstrides)
# window stride sanity check
assert np.all(x[:, 1] == samples[hop_length:(hop_length + fft_length)])
# broadcast window, compute fft over columns and square mod
# This function computes the one-dimensional n-point discrete Fourier Transform (DFT) of a real-valued array by means of an efficient algorithm called the Fast Fourier Transform (FFT).
x = np.fft.rfft(x * window, axis=0)
x = np.absolute(x) ** 2
# scale, 2.0 for everything except dc and fft_length/2
x[1:-1, :] *= (2.0 / scale)
x[(0, -1), :] /= scale
freqs = float(sample_rate) / fft_length * np.arange(x.shape[0])
return x, freqs
|
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Compute the spectrogram for a real signal.
The parameters follow the naming convention of
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Args:
samples (1D array): input audio signal
fft_length (int): number of elements in fft window
sample_rate (scalar): sample rate
hop_length (int): hop length (relative offset between neighboring
fft windows).
Returns:
x (2D array): spectrogram [frequency x time]
freq (1D array): frequency of each row in x
Note:
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|
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"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/speech_recognition/stt_utils.py#L53-L104
|
train
|
Compute the spectrogram for a real signal.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\065', 53181 - 53173), ehT0Px3KOsy9(chr(0b110000) + chr(9267 - 9156) + chr(646 - 597) + '\x30' + chr(0b11 + 0o61), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1030 - 981) + chr(407 - 357), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + chr(1201 - 1151) + '\065' + '\063', 0o10), ehT0Px3KOsy9(chr(917 - 869) + chr(111) + chr(50) + chr(0b101001 + 0o13) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b101010 + 0o10) + chr(0b110101) + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1011 + 0o52) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(11403 - 11292) + chr(0b110100) + '\x35', 41655 - 41647), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(7389 - 7278) + chr(2288 - 2237) + chr(52) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b110001) + '\065' + chr(0b11111 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(50) + '\061' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + '\062' + chr(1152 - 1099) + '\x36', 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110001 + 0o5) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110101) + chr(0b101110 + 0o3), 8), ehT0Px3KOsy9(chr(1190 - 1142) + '\x6f' + '\x33' + chr(351 - 297) + chr(0b101111 + 0o7), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1 + 0o156) + chr(50) + chr(0b110011) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b10010 + 0o40) + chr(0b110 + 0o56), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1000 + 0o53) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(697 - 649) + '\x6f' + chr(0b110010 + 0o1) + '\067' + '\x35', 26904 - 26896), ehT0Px3KOsy9(chr(48) + chr(1085 - 974) + '\x32' + chr(326 - 274), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(723 - 672) + chr(51) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1000 + 0o147) + chr(50) + '\066' + chr(281 - 230), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\x30' + chr(0b1011 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(53) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11100 + 0o33) + chr(436 - 387), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x31' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + chr(0b11010 + 0o27) + '\x35' + chr(54), 8), ehT0Px3KOsy9(chr(1018 - 970) + chr(0b1101111) + chr(1850 - 1801) + '\060' + chr(50), 49907 - 49899), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b110010) + chr(54) + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11011 + 0o30) + chr(1251 - 1203) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(2701 - 2647) + chr(0b101011 + 0o7), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101011 + 0o6) + '\x37' + chr(2284 - 2236), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100110 + 0o14) + chr(55) + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + chr(96 - 46) + chr(2252 - 2202) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b111 + 0o54) + chr(54) + '\x36', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1101 + 0o44) + chr(2592 - 2538) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3423 - 3312) + '\062' + '\067' + chr(1077 - 1028), 50706 - 50698), ehT0Px3KOsy9(chr(0b110000) + chr(4229 - 4118) + chr(0b110011) + chr(0b100111 + 0o20) + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + chr(1029 - 975), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + '\x35' + '\060', 34746 - 34738)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b';'), chr(0b1100100) + '\x65' + chr(99) + chr(7776 - 7665) + '\144' + '\145')(chr(2448 - 2331) + chr(6668 - 6552) + '\x66' + '\x2d' + chr(0b11101 + 0o33)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def BB_9Twg1EtxU(db1_IZvznkcy, lu1tCSCRDpE4=ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\064' + chr(1655 - 1607) + chr(48), ord("\x08")), FC1ozjKG3or9=ehT0Px3KOsy9(chr(48) + chr(111) + chr(50), 0o10), hSGKoQjCa9ke=ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(48) + chr(0b11011 + 0o25), ord("\x08"))):
assert not xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'|7i\xc4\xc9\xdeE@\\\x8c\x0b\xe0'), '\x64' + chr(101) + chr(3168 - 3069) + '\157' + '\144' + chr(101))(chr(117) + '\x74' + chr(102) + '\055' + chr(0b111000)))(db1_IZvznkcy), xafqLlk3kkUe(SXOLrMavuUCe(b'X1y\xdf\x84\xc0FQ\x04\x93\x08\xf9\xdd\x97\x00\x98\xb8\xf7p\x90d\xb5\xd6;NW;\x03 \xd3\xb2\x81'), '\x64' + chr(0b11 + 0o142) + '\143' + chr(111) + chr(0b110100 + 0o60) + '\x65')(chr(117) + chr(0b1110100) + chr(871 - 769) + '\x2d' + '\x38')
VGVrxFMCQSmZ = WqUC3KWvYVup.hanning(lu1tCSCRDpE4)[:, None]
hobwShwjpNN0 = WqUC3KWvYVup.xkxBmo49x2An(VGVrxFMCQSmZ ** ehT0Px3KOsy9(chr(0b110000) + chr(0b10001 + 0o136) + chr(50), 8))
xjPLimsZRgb9 = hobwShwjpNN0 * FC1ozjKG3or9
ItSDpQcy_VOZ = (c2A0yzQpDQB3(db1_IZvznkcy) - lu1tCSCRDpE4) % hSGKoQjCa9ke
OeWW0F1dBPRQ = db1_IZvznkcy[:c2A0yzQpDQB3(db1_IZvznkcy) - ItSDpQcy_VOZ]
Lv1dnZeNZ10p = (lu1tCSCRDpE4, (c2A0yzQpDQB3(OeWW0F1dBPRQ) - lu1tCSCRDpE4) // hSGKoQjCa9ke + ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49), 0b1000))
Uw5SCqE9KpHs = (OeWW0F1dBPRQ.r8knJmMTTKwv[ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10011 + 0o35), ord("\x08"))], OeWW0F1dBPRQ.r8knJmMTTKwv[ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + '\x30', 8)] * hSGKoQjCa9ke)
OeWW0F1dBPRQ = RUxSkgpoKNmv(OeWW0F1dBPRQ, shape=Lv1dnZeNZ10p, strides=Uw5SCqE9KpHs)
assert xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'Q(>\x93\xca\xc4\x18WF\x8a[\xb9'), '\144' + '\x65' + '\x63' + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b111011 + 0o72) + '\164' + chr(102) + chr(0b10111 + 0o26) + chr(56)))(OeWW0F1dBPRQ[:, ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', 8)] == db1_IZvznkcy[hSGKoQjCa9ke:hSGKoQjCa9ke + lu1tCSCRDpE4])
OeWW0F1dBPRQ = WqUC3KWvYVup.fft.rfft(OeWW0F1dBPRQ * VGVrxFMCQSmZ, axis=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000), 8))
OeWW0F1dBPRQ = WqUC3KWvYVup.absolute(OeWW0F1dBPRQ) ** ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + chr(567 - 517), 8)
OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b100010 + 0o17), 8):-ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1391 - 1342), 8), :] *= 2.0 / xjPLimsZRgb9
OeWW0F1dBPRQ[(ehT0Px3KOsy9(chr(482 - 434) + '\157' + '\x30', 8), -ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061', 8)), :] /= xjPLimsZRgb9
r158dv5gd5QY = kkSX4ccExqw4(FC1ozjKG3or9) / lu1tCSCRDpE4 * WqUC3KWvYVup.arange(OeWW0F1dBPRQ.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(3411 - 3300) + '\x30', 8)])
return (OeWW0F1dBPRQ, r158dv5gd5QY)
|
apache/incubator-mxnet
|
example/speech_recognition/stt_utils.py
|
spectrogram_from_file
|
def spectrogram_from_file(filename, step=10, window=20, max_freq=None,
eps=1e-14, overwrite=False, save_feature_as_csvfile=False):
""" Calculate the log of linear spectrogram from FFT energy
Params:
filename (str): Path to the audio file
step (int): Step size in milliseconds between windows
window (int): FFT window size in milliseconds
max_freq (int): Only FFT bins corresponding to frequencies between
[0, max_freq] are returned
eps (float): Small value to ensure numerical stability (for ln(x))
"""
csvfilename = filename.replace(".wav", ".csv")
if (os.path.isfile(csvfilename) is False) or overwrite:
with soundfile.SoundFile(filename) as sound_file:
audio = sound_file.read(dtype='float32')
sample_rate = sound_file.samplerate
if audio.ndim >= 2:
audio = np.mean(audio, 1)
if max_freq is None:
max_freq = sample_rate / 2
if max_freq > sample_rate / 2:
raise ValueError("max_freq must not be greater than half of "
" sample rate")
if step > window:
raise ValueError("step size must not be greater than window size")
hop_length = int(0.001 * step * sample_rate)
fft_length = int(0.001 * window * sample_rate)
pxx, freqs = spectrogram(
audio, fft_length=fft_length, sample_rate=sample_rate,
hop_length=hop_length)
ind = np.where(freqs <= max_freq)[0][-1] + 1
res = np.transpose(np.log(pxx[:ind, :] + eps))
if save_feature_as_csvfile:
np.savetxt(csvfilename, res)
return res
else:
return np.loadtxt(csvfilename)
|
python
|
def spectrogram_from_file(filename, step=10, window=20, max_freq=None,
eps=1e-14, overwrite=False, save_feature_as_csvfile=False):
""" Calculate the log of linear spectrogram from FFT energy
Params:
filename (str): Path to the audio file
step (int): Step size in milliseconds between windows
window (int): FFT window size in milliseconds
max_freq (int): Only FFT bins corresponding to frequencies between
[0, max_freq] are returned
eps (float): Small value to ensure numerical stability (for ln(x))
"""
csvfilename = filename.replace(".wav", ".csv")
if (os.path.isfile(csvfilename) is False) or overwrite:
with soundfile.SoundFile(filename) as sound_file:
audio = sound_file.read(dtype='float32')
sample_rate = sound_file.samplerate
if audio.ndim >= 2:
audio = np.mean(audio, 1)
if max_freq is None:
max_freq = sample_rate / 2
if max_freq > sample_rate / 2:
raise ValueError("max_freq must not be greater than half of "
" sample rate")
if step > window:
raise ValueError("step size must not be greater than window size")
hop_length = int(0.001 * step * sample_rate)
fft_length = int(0.001 * window * sample_rate)
pxx, freqs = spectrogram(
audio, fft_length=fft_length, sample_rate=sample_rate,
hop_length=hop_length)
ind = np.where(freqs <= max_freq)[0][-1] + 1
res = np.transpose(np.log(pxx[:ind, :] + eps))
if save_feature_as_csvfile:
np.savetxt(csvfilename, res)
return res
else:
return np.loadtxt(csvfilename)
|
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] |
Calculate the log of linear spectrogram from FFT energy
Params:
filename (str): Path to the audio file
step (int): Step size in milliseconds between windows
window (int): FFT window size in milliseconds
max_freq (int): Only FFT bins corresponding to frequencies between
[0, max_freq] are returned
eps (float): Small value to ensure numerical stability (for ln(x))
|
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/speech_recognition/stt_utils.py#L107-L146
|
train
|
Calculate the log of linear spectrogram from the audio file.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(52) + '\x34', 64340 - 64332), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101011 + 0o10) + chr(53) + chr(0b110100), 61381 - 61373), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(3268 - 3157) + chr(957 - 906) + chr(0b11111 + 0o21) + chr(52), 0b1000), ehT0Px3KOsy9(chr(2248 - 2200) + chr(111) + chr(51) + '\067', 31947 - 31939), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110011 + 0o3) + chr(2675 - 2620), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100111 + 0o10) + chr(748 - 699) + '\064' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(945 - 897) + chr(0b1101111) + chr(0b110010 + 0o0) + '\x32' + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(11440 - 11329) + '\x35' + chr(1238 - 1184), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(52) + '\x32', 55926 - 55918), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(52) + '\063', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(0b110101 + 0o1) + '\063', 18464 - 18456), ehT0Px3KOsy9('\060' + '\x6f' + chr(535 - 485) + '\067' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(1279 - 1229) + chr(0b1001 + 0o55), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1506 - 1457) + chr(0b110111) + chr(0b110011), 64597 - 64589), ehT0Px3KOsy9(chr(48) + chr(5955 - 5844) + '\062' + '\062' + chr(0b10100 + 0o41), 23712 - 23704), ehT0Px3KOsy9(chr(496 - 448) + chr(6228 - 6117) + chr(49) + chr(0b110111) + chr(2883 - 2829), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\062' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11010 + 0o31) + '\x36' + '\x37', 8), ehT0Px3KOsy9(chr(934 - 886) + chr(0b0 + 0o157) + chr(51) + chr(53) + chr(0b1011 + 0o45), 0o10), ehT0Px3KOsy9(chr(1739 - 1691) + chr(0b1101111) + '\x32' + '\x37' + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b1001 + 0o47) + chr(55), 33845 - 33837), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\064' + chr(0b11110 + 0o23), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(55) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1605 - 1556) + chr(0b111 + 0o55) + chr(0b110101), 36351 - 36343), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + '\063' + '\066' + chr(0b10010 + 0o43), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b1101 + 0o44) + chr(1586 - 1534), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\x33' + chr(0b110111) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(54) + chr(0b10000 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + chr(1258 - 1208) + chr(0b110001) + chr(2021 - 1972), 41402 - 41394), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101101 + 0o5) + chr(50) + chr(54), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10619 - 10508) + chr(0b110001) + '\060' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110001) + chr(0b101001 + 0o12), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + '\064' + chr(2648 - 2596), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1101 + 0o44) + chr(0b10010 + 0o40) + chr(2336 - 2286), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111 + 0o0) + chr(50) + chr(0b110111) + chr(0b100101 + 0o14), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + chr(50) + '\x31' + '\063', 0b1000), ehT0Px3KOsy9(chr(1738 - 1690) + '\x6f' + chr(0b1111 + 0o42) + chr(0b110100), 33062 - 33054), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(11922 - 11811) + chr(49) + chr(0b100100 + 0o17) + '\x37', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100001 + 0o24) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\n'), chr(6866 - 6766) + chr(0b111 + 0o136) + '\143' + chr(612 - 501) + '\144' + chr(8779 - 8678))(chr(117) + chr(0b1110100) + chr(6797 - 6695) + chr(45) + chr(3027 - 2971)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Zcl3aFaXRUA6(xw4DsBfIJ22E, kDuFsAhEatcU=ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(50), 0b1000), VGVrxFMCQSmZ=ehT0Px3KOsy9('\060' + chr(1281 - 1170) + chr(0b110010) + chr(0b110100), 41014 - 41006), SwHli2AVwV_8=None, ANx8zFubz7L8=1e-14, owudp2xlhy9V=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000), 0b1000), SdLlB98xOlOn=ehT0Px3KOsy9('\x30' + '\x6f' + '\060', 8)):
uotiEtl4HIjn = xw4DsBfIJ22E.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'\n\x9b\xa5i'), '\x64' + chr(0b1011000 + 0o15) + chr(99) + chr(0b1101111) + chr(0b1010000 + 0o24) + '\145')('\165' + '\164' + '\146' + chr(0b1001 + 0o44) + chr(0b1000 + 0o60)), xafqLlk3kkUe(SXOLrMavuUCe(b'\n\x8f\xb7i'), chr(100) + chr(101) + chr(4816 - 4717) + '\157' + '\x64' + '\145')('\x75' + chr(116) + chr(102) + chr(45) + chr(1459 - 1403)))
if xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'M\x9f\xa2v\x9b\x04'), '\144' + chr(0b1100101) + chr(0b1010011 + 0o20) + chr(0b1101111) + '\144' + '\x65')(chr(117) + chr(2783 - 2667) + chr(102) + chr(0b101101) + chr(2333 - 2277)))(uotiEtl4HIjn) is ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\060', 8) or owudp2xlhy9V:
with xafqLlk3kkUe(AYYjObi_JAni, xafqLlk3kkUe(SXOLrMavuUCe(b"w\x83\xb1q\x93'\xfaB\x07"), chr(2653 - 2553) + chr(0b1011110 + 0o7) + chr(0b100 + 0o137) + chr(0b1111 + 0o140) + chr(437 - 337) + chr(101))(chr(8490 - 8373) + chr(0b1010101 + 0o37) + '\146' + chr(212 - 167) + chr(0b111000)))(xw4DsBfIJ22E) as Lj3XexdT5pDb:
ougNbwbx7whZ = Lj3XexdT5pDb.U6MiWrhuCi2Y(dtype=xafqLlk3kkUe(SXOLrMavuUCe(b'B\x80\xab~\x83R\xa1'), chr(100) + chr(101) + chr(5528 - 5429) + chr(3172 - 3061) + chr(2867 - 2767) + '\145')(chr(0b1110010 + 0o3) + chr(0b1000001 + 0o63) + '\146' + '\x2d' + '\070'))
FC1ozjKG3or9 = Lj3XexdT5pDb.samplerate
if xafqLlk3kkUe(ougNbwbx7whZ, xafqLlk3kkUe(SXOLrMavuUCe(b'C\x83\xa9o\xbf#\xfaz\x11\x05y\xec'), chr(0b1100100) + '\145' + '\x63' + '\157' + chr(4102 - 4002) + chr(0b1100101))(chr(0b1110101) + '\x74' + '\x66' + '\055' + chr(56))) >= ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b10111 + 0o130) + chr(0b1010 + 0o50), 8):
ougNbwbx7whZ = WqUC3KWvYVup.aJhItC_Vawlw(ougNbwbx7whZ, ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(49), 0b1000))
if SwHli2AVwV_8 is None:
SwHli2AVwV_8 = FC1ozjKG3or9 / ehT0Px3KOsy9(chr(1120 - 1072) + chr(0b1000011 + 0o54) + chr(1752 - 1702), 8)
if SwHli2AVwV_8 > FC1ozjKG3or9 / ehT0Px3KOsy9(chr(2255 - 2207) + '\x6f' + chr(0b101000 + 0o12), 8):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'I\x8d\xbc@\x91\x13\xf6_B\x0eF\xcb\xe2[\xfb\x11$\xd7\x8a\xd8\xa7\xc6\x8f\x00\x94\xf8\x9eF\xa9\xe2~%\xa5\x04:c\xd5\xed,0B\xcc\xe4l\x96\x0c\xe3B\x07CA\xd9\xe2\x1e'), chr(0b1100100) + '\145' + chr(99) + '\x6f' + chr(0b1110 + 0o126) + chr(4911 - 4810))(chr(2420 - 2303) + chr(0b1000011 + 0o61) + chr(102) + '\055' + '\070'))
if kDuFsAhEatcU > VGVrxFMCQSmZ:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'W\x98\xa1o\xd7\x12\xfaT\x07C^\xcd\xe5\x0f\xb5\x10?\x83\xc8\xdf\xe2\x81\x9a\x17\x90\xed\x8fQ\xfb\xb6b,\xaaJru\xd0\xe5h0S\xcc\xb7v\x8d\x04'), '\x64' + '\x65' + chr(0b1100011) + chr(613 - 502) + '\144' + chr(0b1100101))(chr(0b1110101) + '\x74' + '\x66' + chr(45) + chr(2015 - 1959)))
hSGKoQjCa9ke = ehT0Px3KOsy9(0.001 * kDuFsAhEatcU * FC1ozjKG3or9)
lu1tCSCRDpE4 = ehT0Px3KOsy9(0.001 * VGVrxFMCQSmZ * FC1ozjKG3or9)
(FSJGbtwUVw1c, r158dv5gd5QY) = BB_9Twg1EtxU(ougNbwbx7whZ, fft_length=lu1tCSCRDpE4, sample_rate=FC1ozjKG3or9, hop_length=hSGKoQjCa9ke)
r3s_x88rHjuC = WqUC3KWvYVup.dRFAC59yQBm_(r158dv5gd5QY <= SwHli2AVwV_8)[ehT0Px3KOsy9(chr(813 - 765) + chr(111) + chr(0b110000), 8)][-ehT0Px3KOsy9('\060' + chr(0b1010101 + 0o32) + chr(477 - 428), 8)] + ehT0Px3KOsy9(chr(1750 - 1702) + chr(0b1101111) + chr(595 - 546), 8)
MsbwfslwLjRO = WqUC3KWvYVup.transpose(WqUC3KWvYVup.log(FSJGbtwUVw1c[:r3s_x88rHjuC, :] + ANx8zFubz7L8))
if SdLlB98xOlOn:
xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'W\x8d\xb2z\x83\x19\xe7'), '\144' + '\x65' + chr(0b111101 + 0o46) + chr(0b1101111) + chr(0b1100100) + chr(0b1010110 + 0o17))(chr(1830 - 1713) + '\x74' + '\146' + chr(45) + '\x38'))(uotiEtl4HIjn, MsbwfslwLjRO)
return MsbwfslwLjRO
else:
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'H\x83\xa5{\x83\x19\xe7'), chr(7781 - 7681) + '\145' + chr(99) + chr(111) + chr(6278 - 6178) + chr(101))(chr(0b1110101) + chr(0b101101 + 0o107) + chr(0b1100110) + chr(45) + chr(56)))(uotiEtl4HIjn)
|
apache/incubator-mxnet
|
example/ssd/tools/rand_sampler.py
|
RandCropper.sample
|
def sample(self, label):
"""
generate random cropping boxes according to parameters
if satifactory crops generated, apply to ground-truth as well
Parameters:
----------
label : numpy.array (n x 5 matrix)
ground-truths
Returns:
----------
list of (crop_box, label) tuples, if failed, return empty list []
"""
samples = []
count = 0
for trial in range(self.max_trials):
if count >= self.max_sample:
return samples
scale = np.random.uniform(self.min_scale, self.max_scale)
min_ratio = max(self.min_aspect_ratio, scale * scale)
max_ratio = min(self.max_aspect_ratio, 1. / scale / scale)
ratio = math.sqrt(np.random.uniform(min_ratio, max_ratio))
width = scale * ratio
height = scale / ratio
left = np.random.uniform(0., 1 - width)
top = np.random.uniform(0., 1 - height)
rand_box = (left, top, left + width, top + height)
valid_mask = np.where(label[:, 0] > -1)[0]
gt = label[valid_mask, :]
ious = self._check_satisfy(rand_box, gt)
if ious is not None:
# transform gt labels after crop, discard bad ones
l, t, r, b = rand_box
new_gt_boxes = []
new_width = r - l
new_height = b - t
for i in range(valid_mask.size):
if ious[i] > 0:
xmin = max(0., (gt[i, 1] - l) / new_width)
ymin = max(0., (gt[i, 2] - t) / new_height)
xmax = min(1., (gt[i, 3] - l) / new_width)
ymax = min(1., (gt[i, 4] - t) / new_height)
new_gt_boxes.append([gt[i, 0], xmin, ymin, xmax, ymax])
if not new_gt_boxes:
continue
new_gt_boxes = np.array(new_gt_boxes)
label = np.lib.pad(new_gt_boxes,
((0, label.shape[0]-new_gt_boxes.shape[0]), (0,0)), \
'constant', constant_values=(-1, -1))
samples.append((rand_box, label))
count += 1
return samples
|
python
|
def sample(self, label):
"""
generate random cropping boxes according to parameters
if satifactory crops generated, apply to ground-truth as well
Parameters:
----------
label : numpy.array (n x 5 matrix)
ground-truths
Returns:
----------
list of (crop_box, label) tuples, if failed, return empty list []
"""
samples = []
count = 0
for trial in range(self.max_trials):
if count >= self.max_sample:
return samples
scale = np.random.uniform(self.min_scale, self.max_scale)
min_ratio = max(self.min_aspect_ratio, scale * scale)
max_ratio = min(self.max_aspect_ratio, 1. / scale / scale)
ratio = math.sqrt(np.random.uniform(min_ratio, max_ratio))
width = scale * ratio
height = scale / ratio
left = np.random.uniform(0., 1 - width)
top = np.random.uniform(0., 1 - height)
rand_box = (left, top, left + width, top + height)
valid_mask = np.where(label[:, 0] > -1)[0]
gt = label[valid_mask, :]
ious = self._check_satisfy(rand_box, gt)
if ious is not None:
# transform gt labels after crop, discard bad ones
l, t, r, b = rand_box
new_gt_boxes = []
new_width = r - l
new_height = b - t
for i in range(valid_mask.size):
if ious[i] > 0:
xmin = max(0., (gt[i, 1] - l) / new_width)
ymin = max(0., (gt[i, 2] - t) / new_height)
xmax = min(1., (gt[i, 3] - l) / new_width)
ymax = min(1., (gt[i, 4] - t) / new_height)
new_gt_boxes.append([gt[i, 0], xmin, ymin, xmax, ymax])
if not new_gt_boxes:
continue
new_gt_boxes = np.array(new_gt_boxes)
label = np.lib.pad(new_gt_boxes,
((0, label.shape[0]-new_gt_boxes.shape[0]), (0,0)), \
'constant', constant_values=(-1, -1))
samples.append((rand_box, label))
count += 1
return samples
|
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] |
generate random cropping boxes according to parameters
if satifactory crops generated, apply to ground-truth as well
Parameters:
----------
label : numpy.array (n x 5 matrix)
ground-truths
Returns:
----------
list of (crop_box, label) tuples, if failed, return empty list []
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/tools/rand_sampler.py#L93-L145
|
train
|
Generate random cropping boxes according to parameters
.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2444 - 2393) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(9639 - 9528) + chr(1420 - 1369) + chr(0b10010 + 0o41) + chr(2520 - 2465), 0o10), ehT0Px3KOsy9('\060' + chr(1085 - 974) + chr(313 - 264) + '\062' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10101 + 0o132) + '\062' + chr(0b11010 + 0o27), 19147 - 19139), ehT0Px3KOsy9('\060' + chr(10177 - 10066) + chr(51) + chr(53) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9936 - 9825) + chr(0b10101 + 0o36) + '\066' + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(392 - 341) + '\060' + chr(0b11 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1094 - 1040) + chr(0b1001 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(0b110011) + chr(350 - 299) + chr(1775 - 1727), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(2014 - 1961) + '\x35', 7428 - 7420), ehT0Px3KOsy9(chr(48) + chr(0b100001 + 0o116) + '\x33' + chr(1665 - 1612) + chr(0b1110 + 0o42), 41517 - 41509), ehT0Px3KOsy9(chr(48) + chr(365 - 254) + chr(50) + chr(0b110011) + chr(569 - 516), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110110) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011001 + 0o26) + '\x33' + '\060' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b0 + 0o63) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(1140 - 1089) + chr(52) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1886 - 1775) + '\061' + chr(1131 - 1077) + chr(0b1011 + 0o50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1569 - 1519) + chr(0b10011 + 0o40) + chr(318 - 269), 43440 - 43432), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\062' + chr(0b110101 + 0o2), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2490 - 2440) + '\x31' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\x30' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b110011) + chr(0b110110) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(11869 - 11758) + chr(0b110011) + chr(51) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100010 + 0o15) + chr(0b110011) + chr(1869 - 1814) + chr(1860 - 1811), 65510 - 65502), ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + chr(695 - 644) + chr(359 - 307) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\x34' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + chr(0b110011) + '\x35' + '\x36', 4983 - 4975), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(1380 - 1325) + chr(0b11001 + 0o34), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + '\x31' + chr(0b110011) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(1218 - 1168) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(2494 - 2383) + chr(701 - 650) + '\063' + chr(0b101010 + 0o15), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11 + 0o61) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101100 + 0o103) + chr(0b110011) + chr(0b110100) + '\x34', 31529 - 31521), ehT0Px3KOsy9(chr(2071 - 2023) + '\157' + chr(0b101110 + 0o6) + chr(2595 - 2544), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(5090 - 4979) + '\x31' + chr(2154 - 2103) + chr(0b100101 + 0o17), 8), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\063' + chr(2831 - 2776), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b100000 + 0o25) + chr(49), 333 - 325), ehT0Px3KOsy9(chr(1938 - 1890) + '\x6f' + chr(854 - 805) + '\066' + chr(0b110100 + 0o2), 0b1000), ehT0Px3KOsy9(chr(1370 - 1322) + '\157' + '\x31' + chr(50) + chr(1758 - 1704), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065' + chr(224 - 176), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'3'), '\144' + '\145' + chr(7790 - 7691) + chr(0b11100 + 0o123) + '\x64' + chr(101))(chr(0b1110101) + chr(0b1110100) + '\146' + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aBu4gMMQp6Jg(oVre8I6UXc3b, TRUOLFLuD08x):
db1_IZvznkcy = []
ualWdDeXJEGO = ehT0Px3KOsy9('\x30' + '\x6f' + '\x30', 0o10)
for Alvsa0ue91Fo in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'p\xbe)N\x9e\x84\xabP\xb4\x9e'), '\144' + '\145' + chr(99) + chr(111) + '\x64' + chr(0b1100101))(chr(0b1001001 + 0o54) + chr(0b1000001 + 0o63) + chr(156 - 54) + chr(2025 - 1980) + chr(56)))):
if ualWdDeXJEGO >= xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'p\xbe)N\x99\x97\xafA\xb4\x88'), '\x64' + '\x65' + '\143' + '\157' + '\144' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1011000 + 0o16) + chr(1464 - 1419) + '\070')):
return db1_IZvznkcy
xjPLimsZRgb9 = WqUC3KWvYVup.random.uniform(oVre8I6UXc3b.min_scale, oVre8I6UXc3b.max_scale)
vy6kJ6fVlhRH = tsdjvlgh9gDP(oVre8I6UXc3b.min_aspect_ratio, xjPLimsZRgb9 * xjPLimsZRgb9)
oEzOLyEUG0rJ = Dx22bkKPdt5d(oVre8I6UXc3b.max_aspect_ratio, 1.0 / xjPLimsZRgb9 / xjPLimsZRgb9)
pyiPBPsXZj35 = yhiZVkosCjBm.sqrt(WqUC3KWvYVup.random.uniform(vy6kJ6fVlhRH, oEzOLyEUG0rJ))
mPx09rBTrGXR = xjPLimsZRgb9 * pyiPBPsXZj35
ehbUULKuygfC = xjPLimsZRgb9 / pyiPBPsXZj35
mtX6HPOlWiYu = WqUC3KWvYVup.random.uniform(0.0, ehT0Px3KOsy9(chr(2020 - 1972) + '\157' + chr(0b11 + 0o56), ord("\x08")) - mPx09rBTrGXR)
qxrVBjeryNEZ = WqUC3KWvYVup.random.uniform(0.0, ehT0Px3KOsy9('\x30' + chr(1638 - 1527) + chr(0b100001 + 0o20), 8) - ehbUULKuygfC)
Ysui_seerJau = (mtX6HPOlWiYu, qxrVBjeryNEZ, mtX6HPOlWiYu + mPx09rBTrGXR, qxrVBjeryNEZ + ehbUULKuygfC)
wKlD5sjFxy2_ = WqUC3KWvYVup.dRFAC59yQBm_(TRUOLFLuD08x[:, ehT0Px3KOsy9(chr(1100 - 1052) + '\157' + '\x30', 8)] > -ehT0Px3KOsy9('\x30' + '\157' + chr(1353 - 1304), 8))[ehT0Px3KOsy9(chr(1827 - 1779) + '\157' + '\x30', 8)]
VGYdJ81CxX_c = TRUOLFLuD08x[wKlD5sjFxy2_, :]
U5fZ0EjIiA0a = oVre8I6UXc3b._check_satisfy(Ysui_seerJau, VGYdJ81CxX_c)
if U5fZ0EjIiA0a is not None:
(aLoH_Mt0dzwO, YeT3l7JgTbWR, JWG5qApaeJkp, wmN3dvez4qzC) = Ysui_seerJau
XFoToTbKBZal = []
JwSNrmTEDjEC = JWG5qApaeJkp - aLoH_Mt0dzwO
sYQbo8r3TZRt = wmN3dvez4qzC - YeT3l7JgTbWR
for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(wKlD5sjFxy2_, xafqLlk3kkUe(SXOLrMavuUCe(b'S\x932r\xd9\xb4\x81{\xb6\xbc\x83\xfc'), chr(0b11100 + 0o110) + chr(4045 - 3944) + '\143' + chr(5389 - 5278) + chr(6089 - 5989) + chr(0b1100101))(chr(117) + chr(116) + chr(0b1010010 + 0o24) + chr(689 - 644) + chr(56)))):
if U5fZ0EjIiA0a[WVxHKyX45z_L] > ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000), 8):
iwLDVrOPwAXT = tsdjvlgh9gDP(0.0, (VGYdJ81CxX_c[WVxHKyX45z_L, ehT0Px3KOsy9('\060' + '\157' + '\061', 8)] - aLoH_Mt0dzwO) / JwSNrmTEDjEC)
boaq9Hs5GNoO = tsdjvlgh9gDP(0.0, (VGYdJ81CxX_c[WVxHKyX45z_L, ehT0Px3KOsy9('\x30' + '\157' + '\062', ord("\x08"))] - YeT3l7JgTbWR) / sYQbo8r3TZRt)
_BorAvM1DJSA = Dx22bkKPdt5d(1.0, (VGYdJ81CxX_c[WVxHKyX45z_L, ehT0Px3KOsy9(chr(181 - 133) + '\x6f' + '\063', 0b1000)] - aLoH_Mt0dzwO) / JwSNrmTEDjEC)
gMlDWMAO4ir9 = Dx22bkKPdt5d(1.0, (VGYdJ81CxX_c[WVxHKyX45z_L, ehT0Px3KOsy9('\060' + '\157' + '\x34', 0b1000)] - YeT3l7JgTbWR) / sYQbo8r3TZRt)
xafqLlk3kkUe(XFoToTbKBZal, xafqLlk3kkUe(SXOLrMavuUCe(b'|\xaf!t\x84\x92'), '\144' + '\145' + chr(99) + chr(111) + '\144' + chr(101))('\x75' + '\x74' + '\146' + chr(45) + chr(2220 - 2164)))([VGYdJ81CxX_c[WVxHKyX45z_L, ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2067 - 2019), 8)], iwLDVrOPwAXT, boaq9Hs5GNoO, _BorAvM1DJSA, gMlDWMAO4ir9])
if not XFoToTbKBZal:
continue
XFoToTbKBZal = WqUC3KWvYVup.B0ePDhpqxN5n(XFoToTbKBZal)
TRUOLFLuD08x = WqUC3KWvYVup.lib.pad(XFoToTbKBZal, ((ehT0Px3KOsy9('\x30' + chr(0b1000100 + 0o53) + chr(907 - 859), 8), TRUOLFLuD08x.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(111) + chr(48), 8)] - XFoToTbKBZal.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + '\060', 8)]), (ehT0Px3KOsy9(chr(1993 - 1945) + chr(6331 - 6220) + '\x30', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(2090 - 2042), 8))), xafqLlk3kkUe(SXOLrMavuUCe(b'~\xb0?b\x9e\x97\xacE'), chr(0b111111 + 0o45) + '\x65' + '\143' + chr(111) + '\144' + '\x65')(chr(117) + chr(0b1101110 + 0o6) + '\x66' + chr(45) + '\x38'), constant_values=(-ehT0Px3KOsy9('\x30' + '\x6f' + '\061', 8), -ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11100 + 0o25), 8)))
xafqLlk3kkUe(db1_IZvznkcy, xafqLlk3kkUe(SXOLrMavuUCe(b'|\xaf!t\x84\x92'), chr(234 - 134) + '\145' + '\143' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(11425 - 11308) + '\164' + '\x66' + '\x2d' + chr(0b111000)))((Ysui_seerJau, TRUOLFLuD08x))
ualWdDeXJEGO += ehT0Px3KOsy9('\060' + chr(111) + '\x31', 8)
return db1_IZvznkcy
|
apache/incubator-mxnet
|
example/ssd/tools/rand_sampler.py
|
RandCropper._check_satisfy
|
def _check_satisfy(self, rand_box, gt_boxes):
"""
check if overlap with any gt box is larger than threshold
"""
l, t, r, b = rand_box
num_gt = gt_boxes.shape[0]
ls = np.ones(num_gt) * l
ts = np.ones(num_gt) * t
rs = np.ones(num_gt) * r
bs = np.ones(num_gt) * b
mask = np.where(ls < gt_boxes[:, 1])[0]
ls[mask] = gt_boxes[mask, 1]
mask = np.where(ts < gt_boxes[:, 2])[0]
ts[mask] = gt_boxes[mask, 2]
mask = np.where(rs > gt_boxes[:, 3])[0]
rs[mask] = gt_boxes[mask, 3]
mask = np.where(bs > gt_boxes[:, 4])[0]
bs[mask] = gt_boxes[mask, 4]
w = rs - ls
w[w < 0] = 0
h = bs - ts
h[h < 0] = 0
inter_area = h * w
union_area = np.ones(num_gt) * max(0, r - l) * max(0, b - t)
union_area += (gt_boxes[:, 3] - gt_boxes[:, 1]) * (gt_boxes[:, 4] - gt_boxes[:, 2])
union_area -= inter_area
ious = inter_area / union_area
ious[union_area <= 0] = 0
max_iou = np.amax(ious)
if max_iou < self.min_overlap:
return None
# check ground-truth constraint
if self.config['gt_constraint'] == 'center':
for i in range(ious.shape[0]):
if ious[i] > 0:
gt_x = (gt_boxes[i, 1] + gt_boxes[i, 3]) / 2.0
gt_y = (gt_boxes[i, 2] + gt_boxes[i, 4]) / 2.0
if gt_x < l or gt_x > r or gt_y < t or gt_y > b:
return None
elif self.config['gt_constraint'] == 'corner':
for i in range(ious.shape[0]):
if ious[i] > 0:
if gt_boxes[i, 1] < l or gt_boxes[i, 3] > r \
or gt_boxes[i, 2] < t or gt_boxes[i, 4] > b:
return None
return ious
|
python
|
def _check_satisfy(self, rand_box, gt_boxes):
"""
check if overlap with any gt box is larger than threshold
"""
l, t, r, b = rand_box
num_gt = gt_boxes.shape[0]
ls = np.ones(num_gt) * l
ts = np.ones(num_gt) * t
rs = np.ones(num_gt) * r
bs = np.ones(num_gt) * b
mask = np.where(ls < gt_boxes[:, 1])[0]
ls[mask] = gt_boxes[mask, 1]
mask = np.where(ts < gt_boxes[:, 2])[0]
ts[mask] = gt_boxes[mask, 2]
mask = np.where(rs > gt_boxes[:, 3])[0]
rs[mask] = gt_boxes[mask, 3]
mask = np.where(bs > gt_boxes[:, 4])[0]
bs[mask] = gt_boxes[mask, 4]
w = rs - ls
w[w < 0] = 0
h = bs - ts
h[h < 0] = 0
inter_area = h * w
union_area = np.ones(num_gt) * max(0, r - l) * max(0, b - t)
union_area += (gt_boxes[:, 3] - gt_boxes[:, 1]) * (gt_boxes[:, 4] - gt_boxes[:, 2])
union_area -= inter_area
ious = inter_area / union_area
ious[union_area <= 0] = 0
max_iou = np.amax(ious)
if max_iou < self.min_overlap:
return None
# check ground-truth constraint
if self.config['gt_constraint'] == 'center':
for i in range(ious.shape[0]):
if ious[i] > 0:
gt_x = (gt_boxes[i, 1] + gt_boxes[i, 3]) / 2.0
gt_y = (gt_boxes[i, 2] + gt_boxes[i, 4]) / 2.0
if gt_x < l or gt_x > r or gt_y < t or gt_y > b:
return None
elif self.config['gt_constraint'] == 'corner':
for i in range(ious.shape[0]):
if ious[i] > 0:
if gt_boxes[i, 1] < l or gt_boxes[i, 3] > r \
or gt_boxes[i, 2] < t or gt_boxes[i, 4] > b:
return None
return ious
|
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] |
check if overlap with any gt box is larger than threshold
|
[
"check",
"if",
"overlap",
"with",
"any",
"gt",
"box",
"is",
"larger",
"than",
"threshold"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/tools/rand_sampler.py#L147-L192
|
train
|
check if any of the random_box is larger than threshold
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b10010 + 0o42) + chr(0b10010 + 0o43), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\x32' + chr(0b110110) + chr(0b110010), 47284 - 47276), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110100) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101001 + 0o6) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(3786 - 3675) + chr(83 - 34) + '\x36' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9480 - 9369) + chr(51) + chr(0b10111 + 0o34), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(1916 - 1865) + chr(0b111 + 0o54) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + chr(0b110011) + chr(0b11010 + 0o33) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b11100 + 0o25) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(55) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(50), 19974 - 19966), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(54), 42633 - 42625), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\062' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1920 - 1872) + chr(111) + chr(0b1100 + 0o45), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(0b10100 + 0o37) + chr(1314 - 1266), ord("\x08")), ehT0Px3KOsy9(chr(1233 - 1185) + '\157' + chr(0b110010) + chr(1845 - 1795) + chr(0b100101 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(1451 - 1403) + '\x6f' + '\x32' + '\062', 34929 - 34921), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b10000 + 0o41) + chr(0b101110 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b101001 + 0o14) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + '\x33' + '\063' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110101) + chr(2526 - 2472), 0o10), ehT0Px3KOsy9('\060' + chr(11767 - 11656) + '\061' + '\x32' + chr(52), 17632 - 17624), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + '\x31' + '\062' + chr(0b10 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + chr(50) + chr(49) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101010 + 0o5) + chr(49) + chr(1729 - 1677) + chr(0b11010 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b110010) + chr(54) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(630 - 582) + chr(0b1000001 + 0o56) + chr(55) + chr(0b110110 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101011 + 0o4) + '\062' + chr(0b110101) + chr(0b110000), 14066 - 14058), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(2140 - 2086) + chr(1729 - 1678), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + '\061' + chr(0b110101 + 0o0) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5860 - 5749) + chr(0b101101 + 0o4) + '\x36' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + '\063' + chr(0b101101 + 0o4), 54198 - 54190), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(48), 8), ehT0Px3KOsy9('\x30' + chr(8630 - 8519) + '\063' + '\x34' + chr(1533 - 1483), 53100 - 53092), ehT0Px3KOsy9(chr(2205 - 2157) + chr(111) + '\063' + chr(54) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b110010) + chr(52), 8), ehT0Px3KOsy9('\x30' + chr(10727 - 10616) + chr(49) + chr(0b110110) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b111 + 0o52) + chr(48) + '\066', 49004 - 48996), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + '\066' + chr(1120 - 1068), 54099 - 54091), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\062' + '\x35' + chr(641 - 590), 29493 - 29485)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + '\x35' + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\x64' + chr(0b1100101))('\165' + '\x74' + chr(3973 - 3871) + '\055' + chr(0b101 + 0o63)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def OJ3_C5KngL75(oVre8I6UXc3b, Ysui_seerJau, gfFMXsTh7nZZ):
(aLoH_Mt0dzwO, YeT3l7JgTbWR, JWG5qApaeJkp, wmN3dvez4qzC) = Ysui_seerJau
gR68qAqfhF9U = gfFMXsTh7nZZ.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(111) + chr(1787 - 1739), 8)]
UpOZDUoE144l = WqUC3KWvYVup.ones(gR68qAqfhF9U) * aLoH_Mt0dzwO
vRr8KUuV1pxu = WqUC3KWvYVup.ones(gR68qAqfhF9U) * YeT3l7JgTbWR
qIqauEC32C0A = WqUC3KWvYVup.ones(gR68qAqfhF9U) * JWG5qApaeJkp
SfegzJB3EFQO = WqUC3KWvYVup.ones(gR68qAqfhF9U) * wmN3dvez4qzC
Iz1jSgUKZDvt = WqUC3KWvYVup.dRFAC59yQBm_(UpOZDUoE144l < gfFMXsTh7nZZ[:, ehT0Px3KOsy9('\060' + '\157' + chr(0b110001), 8)])[ehT0Px3KOsy9('\060' + chr(5269 - 5158) + '\060', 8)]
UpOZDUoE144l[Iz1jSgUKZDvt] = gfFMXsTh7nZZ[Iz1jSgUKZDvt, ehT0Px3KOsy9(chr(425 - 377) + '\x6f' + chr(104 - 55), 8)]
Iz1jSgUKZDvt = WqUC3KWvYVup.dRFAC59yQBm_(vRr8KUuV1pxu < gfFMXsTh7nZZ[:, ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(0b110010), 59587 - 59579)])[ehT0Px3KOsy9(chr(0b110000) + chr(897 - 786) + chr(279 - 231), 8)]
vRr8KUuV1pxu[Iz1jSgUKZDvt] = gfFMXsTh7nZZ[Iz1jSgUKZDvt, ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101000 + 0o12), 8)]
Iz1jSgUKZDvt = WqUC3KWvYVup.dRFAC59yQBm_(qIqauEC32C0A > gfFMXsTh7nZZ[:, ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110 + 0o55), 0b1000)])[ehT0Px3KOsy9('\060' + chr(111) + chr(0b11 + 0o55), 8)]
qIqauEC32C0A[Iz1jSgUKZDvt] = gfFMXsTh7nZZ[Iz1jSgUKZDvt, ehT0Px3KOsy9('\x30' + '\x6f' + chr(85 - 34), 8)]
Iz1jSgUKZDvt = WqUC3KWvYVup.dRFAC59yQBm_(SfegzJB3EFQO > gfFMXsTh7nZZ[:, ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110100), 0b1000)])[ehT0Px3KOsy9(chr(2109 - 2061) + chr(111) + chr(0b101100 + 0o4), 8)]
SfegzJB3EFQO[Iz1jSgUKZDvt] = gfFMXsTh7nZZ[Iz1jSgUKZDvt, ehT0Px3KOsy9(chr(306 - 258) + chr(0b1101111) + chr(0b11101 + 0o27), 8)]
AOfzRywRzEXp = qIqauEC32C0A - UpOZDUoE144l
AOfzRywRzEXp[AOfzRywRzEXp < ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11101 + 0o23), 8)] = ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 8)
sz4HVsFVF8nL = SfegzJB3EFQO - vRr8KUuV1pxu
sz4HVsFVF8nL[sz4HVsFVF8nL < ehT0Px3KOsy9('\x30' + chr(6664 - 6553) + chr(0b110000), 8)] = ehT0Px3KOsy9('\060' + chr(4535 - 4424) + chr(0b1111 + 0o41), 8)
BR0pTBN6mcxG = sz4HVsFVF8nL * AOfzRywRzEXp
L1ofttZsZPHm = WqUC3KWvYVup.ones(gR68qAqfhF9U) * tsdjvlgh9gDP(ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\x30', 8), JWG5qApaeJkp - aLoH_Mt0dzwO) * tsdjvlgh9gDP(ehT0Px3KOsy9(chr(48) + '\157' + chr(48), 8), wmN3dvez4qzC - YeT3l7JgTbWR)
L1ofttZsZPHm += (gfFMXsTh7nZZ[:, ehT0Px3KOsy9('\060' + '\x6f' + chr(1587 - 1536), 8)] - gfFMXsTh7nZZ[:, ehT0Px3KOsy9('\x30' + '\x6f' + chr(2038 - 1989), 8)]) * (gfFMXsTh7nZZ[:, ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + '\064', 8)] - gfFMXsTh7nZZ[:, ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50), 8)])
L1ofttZsZPHm -= BR0pTBN6mcxG
U5fZ0EjIiA0a = BR0pTBN6mcxG / L1ofttZsZPHm
U5fZ0EjIiA0a[L1ofttZsZPHm <= ehT0Px3KOsy9('\x30' + '\157' + chr(2064 - 2016), 8)] = ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11010 + 0o26), 8)
yuutm925MT50 = WqUC3KWvYVup.amax(U5fZ0EjIiA0a)
if yuutm925MT50 < xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xdb\xc8_\x1cm\xbe\x9f#\x99z'), chr(0b1001111 + 0o25) + '\145' + chr(3390 - 3291) + '\157' + chr(4064 - 3964) + chr(0b1100101))('\165' + chr(116) + chr(879 - 777) + '\055' + chr(0b111000))):
return None
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xf3\xcc7 )\xeb\xae;\xc8<a'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(6213 - 6102) + chr(100) + chr(101))('\165' + '\164' + chr(5417 - 5315) + chr(0b101101) + chr(56)))[xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\xc6\xf9c\x1cu\xa8\x99=\x99c`\xa0'), '\x64' + chr(101) + chr(0b1100010 + 0o1) + '\x6f' + chr(0b1100100) + chr(0b101010 + 0o73))('\x75' + chr(0b1110100) + chr(102) + chr(77 - 32) + chr(0b111000))] == xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\xd7\xc8t\x16i'), chr(0b11000 + 0o114) + chr(0b1000111 + 0o36) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\145')(chr(117) + chr(116) + '\146' + chr(1057 - 1012) + chr(0b101111 + 0o11)):
for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(U5fZ0EjIiA0a, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\xd3\xd3Y\x15W\xbc\x81\x1b\x88il'), chr(0b1100100) + chr(0b1010100 + 0o21) + chr(0b1100011) + chr(111) + chr(7490 - 7390) + chr(0b1000 + 0o135))(chr(117) + chr(9948 - 9832) + chr(0b1100110) + chr(0b101101) + chr(0b11010 + 0o36)))[ehT0Px3KOsy9(chr(2080 - 2032) + chr(0b1101010 + 0o5) + chr(48), 8)]):
if U5fZ0EjIiA0a[WVxHKyX45z_L] > ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(48), 8):
Qt0CrAUy5tpr = (gfFMXsTh7nZZ[WVxHKyX45z_L, ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31', 8)] + gfFMXsTh7nZZ[WVxHKyX45z_L, ehT0Px3KOsy9('\060' + '\x6f' + chr(51), 8)]) / 2.0
jIeMCebaFTVr = (gfFMXsTh7nZZ[WVxHKyX45z_L, ehT0Px3KOsy9(chr(1526 - 1478) + chr(0b1101111) + '\062', 8)] + gfFMXsTh7nZZ[WVxHKyX45z_L, ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + '\064', 8)]) / 2.0
if Qt0CrAUy5tpr < aLoH_Mt0dzwO or Qt0CrAUy5tpr > JWG5qApaeJkp or jIeMCebaFTVr < YeT3l7JgTbWR or (jIeMCebaFTVr > wmN3dvez4qzC):
return None
elif xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xf3\xcc7 )\xeb\xae;\xc8<a'), '\144' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b101000 + 0o76) + chr(1673 - 1628) + '\x38'))[xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\xc6\xf9c\x1cu\xa8\x99=\x99c`\xa0'), chr(1702 - 1602) + chr(101) + '\x63' + '\157' + '\144' + chr(0b1100101))('\165' + chr(0b1100011 + 0o21) + chr(0b1010100 + 0o22) + chr(0b101101) + chr(1916 - 1860))] == xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\xdd\xd4n\x16i'), chr(100) + chr(0b1011000 + 0o15) + chr(6547 - 6448) + chr(0b1101111) + '\x64' + chr(1042 - 941))(chr(0b1 + 0o164) + chr(7922 - 7806) + chr(0b111100 + 0o52) + chr(45) + '\070'):
for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(U5fZ0EjIiA0a, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\xd3\xd3Y\x15W\xbc\x81\x1b\x88il'), '\x64' + chr(0b10011 + 0o122) + chr(0b1000000 + 0o43) + chr(10570 - 10459) + chr(100) + chr(0b1111 + 0o126))('\x75' + chr(708 - 592) + chr(9652 - 9550) + chr(1165 - 1120) + '\070'))[ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(4214 - 4103) + chr(0b110000), 8)]):
if U5fZ0EjIiA0a[WVxHKyX45z_L] > ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\060', 8):
if gfFMXsTh7nZZ[WVxHKyX45z_L, ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49), 8)] < aLoH_Mt0dzwO or gfFMXsTh7nZZ[WVxHKyX45z_L, ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b100111 + 0o14), 8)] > JWG5qApaeJkp or gfFMXsTh7nZZ[WVxHKyX45z_L, ehT0Px3KOsy9(chr(48) + '\157' + '\x32', 8)] < YeT3l7JgTbWR or (gfFMXsTh7nZZ[WVxHKyX45z_L, ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(0b110100), 8)] > wmN3dvez4qzC):
return None
return U5fZ0EjIiA0a
|
apache/incubator-mxnet
|
example/ssd/tools/rand_sampler.py
|
RandPadder.sample
|
def sample(self, label):
"""
generate random padding boxes according to parameters
if satifactory padding generated, apply to ground-truth as well
Parameters:
----------
label : numpy.array (n x 5 matrix)
ground-truths
Returns:
----------
list of (crop_box, label) tuples, if failed, return empty list []
"""
samples = []
count = 0
for trial in range(self.max_trials):
if count >= self.max_sample:
return samples
scale = np.random.uniform(self.min_scale, self.max_scale)
min_ratio = max(self.min_aspect_ratio, scale * scale)
max_ratio = min(self.max_aspect_ratio, 1. / scale / scale)
ratio = math.sqrt(np.random.uniform(min_ratio, max_ratio))
width = scale * ratio
if width < 1:
continue
height = scale / ratio
if height < 1:
continue
left = np.random.uniform(0., 1 - width)
top = np.random.uniform(0., 1 - height)
right = left + width
bot = top + height
rand_box = (left, top, right, bot)
valid_mask = np.where(label[:, 0] > -1)[0]
gt = label[valid_mask, :]
new_gt_boxes = []
for i in range(gt.shape[0]):
xmin = (gt[i, 1] - left) / width
ymin = (gt[i, 2] - top) / height
xmax = (gt[i, 3] - left) / width
ymax = (gt[i, 4] - top) / height
new_size = min(xmax - xmin, ymax - ymin)
if new_size < self.min_gt_scale:
new_gt_boxes = []
break
new_gt_boxes.append([gt[i, 0], xmin, ymin, xmax, ymax])
if not new_gt_boxes:
continue
new_gt_boxes = np.array(new_gt_boxes)
label = np.lib.pad(new_gt_boxes,
((0, label.shape[0]-new_gt_boxes.shape[0]), (0,0)), \
'constant', constant_values=(-1, -1))
samples.append((rand_box, label))
count += 1
return samples
|
python
|
def sample(self, label):
"""
generate random padding boxes according to parameters
if satifactory padding generated, apply to ground-truth as well
Parameters:
----------
label : numpy.array (n x 5 matrix)
ground-truths
Returns:
----------
list of (crop_box, label) tuples, if failed, return empty list []
"""
samples = []
count = 0
for trial in range(self.max_trials):
if count >= self.max_sample:
return samples
scale = np.random.uniform(self.min_scale, self.max_scale)
min_ratio = max(self.min_aspect_ratio, scale * scale)
max_ratio = min(self.max_aspect_ratio, 1. / scale / scale)
ratio = math.sqrt(np.random.uniform(min_ratio, max_ratio))
width = scale * ratio
if width < 1:
continue
height = scale / ratio
if height < 1:
continue
left = np.random.uniform(0., 1 - width)
top = np.random.uniform(0., 1 - height)
right = left + width
bot = top + height
rand_box = (left, top, right, bot)
valid_mask = np.where(label[:, 0] > -1)[0]
gt = label[valid_mask, :]
new_gt_boxes = []
for i in range(gt.shape[0]):
xmin = (gt[i, 1] - left) / width
ymin = (gt[i, 2] - top) / height
xmax = (gt[i, 3] - left) / width
ymax = (gt[i, 4] - top) / height
new_size = min(xmax - xmin, ymax - ymin)
if new_size < self.min_gt_scale:
new_gt_boxes = []
break
new_gt_boxes.append([gt[i, 0], xmin, ymin, xmax, ymax])
if not new_gt_boxes:
continue
new_gt_boxes = np.array(new_gt_boxes)
label = np.lib.pad(new_gt_boxes,
((0, label.shape[0]-new_gt_boxes.shape[0]), (0,0)), \
'constant', constant_values=(-1, -1))
samples.append((rand_box, label))
count += 1
return samples
|
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] |
generate random padding boxes according to parameters
if satifactory padding generated, apply to ground-truth as well
Parameters:
----------
label : numpy.array (n x 5 matrix)
ground-truths
Returns:
----------
list of (crop_box, label) tuples, if failed, return empty list []
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/tools/rand_sampler.py#L232-L287
|
train
|
Generate random padding boxes according to parameters
.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010 + 0o0) + '\067' + chr(0b110010), 37292 - 37284), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(0b110011) + chr(53) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\061' + chr(51) + chr(50), 0o10), ehT0Px3KOsy9(chr(1698 - 1650) + chr(0b1101111) + '\x33' + chr(0b1110 + 0o44), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101101 + 0o4) + chr(0b110000 + 0o4) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(2475 - 2364) + '\x33' + '\064' + chr(650 - 599), ord("\x08")), ehT0Px3KOsy9(chr(1821 - 1773) + '\x6f' + chr(0b10 + 0o61) + chr(0b110111) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010010 + 0o35) + chr(1851 - 1802) + '\064' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10111 + 0o32) + chr(0b110110) + chr(0b110000), 36288 - 36280), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b10001 + 0o45) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1000 + 0o52) + chr(49) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\061' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(773 - 722), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7444 - 7333) + chr(0b100011 + 0o20) + '\067' + chr(1814 - 1764), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(2511 - 2460) + chr(640 - 589) + chr(0b101000 + 0o16), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001001 + 0o46) + chr(51) + '\x37' + chr(0b110001), 23702 - 23694), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b110111) + chr(2178 - 2127), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(1372 - 1320) + '\x31', 47708 - 47700), ehT0Px3KOsy9('\060' + chr(0b1011001 + 0o26) + chr(50) + chr(48) + chr(0b10001 + 0o37), 31675 - 31667), ehT0Px3KOsy9(chr(0b110000) + chr(8068 - 7957) + chr(1350 - 1301) + chr(0b110010) + '\x34', 28566 - 28558), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1110 + 0o45) + chr(0b110 + 0o61) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(6319 - 6208) + chr(616 - 566) + chr(49) + chr(0b101101 + 0o12), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\x31' + '\067' + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000 + 0o2) + chr(0b110100) + chr(49), 34733 - 34725), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(1949 - 1898) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11251 - 11140) + chr(0b110011) + '\x37' + chr(1486 - 1433), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\061' + chr(0b101000 + 0o16), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3998 - 3887) + '\x34' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + chr(50) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10000 + 0o137) + '\061' + '\065' + chr(0b1100 + 0o45), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1000 + 0o147) + chr(0b10111 + 0o32) + chr(0b110111) + chr(48), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(250 - 200) + chr(0b1000 + 0o52) + chr(369 - 321), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10686 - 10575) + chr(49) + chr(0b110100) + '\x30', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\062' + chr(1674 - 1622), 0b1000), ehT0Px3KOsy9('\x30' + chr(7531 - 7420) + chr(0b110010) + chr(50) + chr(0b110101), 25620 - 25612), ehT0Px3KOsy9('\060' + '\x6f' + chr(1718 - 1669) + chr(53), 0o10), ehT0Px3KOsy9(chr(454 - 406) + '\x6f' + '\063' + '\x37', 0o10), ehT0Px3KOsy9(chr(724 - 676) + '\x6f' + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1463 - 1413) + chr(51) + chr(0b10 + 0o64), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(0b110000), 31152 - 31144)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x94'), '\144' + '\x65' + chr(4053 - 3954) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aBu4gMMQp6Jg(oVre8I6UXc3b, TRUOLFLuD08x):
db1_IZvznkcy = []
ualWdDeXJEGO = ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10000 + 0o40), 9141 - 9133)
for Alvsa0ue91Fo in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\x8c"E\x13\x91\x95e\x0c\x03'), chr(100) + chr(3367 - 3266) + chr(99) + '\x6f' + '\x64' + chr(5773 - 5672))(chr(466 - 349) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(56)))):
if ualWdDeXJEGO >= xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\x8c"E\x14\x82\x91t\x0c\x15'), '\144' + chr(1686 - 1585) + chr(0b1100011) + '\x6f' + chr(2020 - 1920) + chr(9016 - 8915))(chr(11279 - 11162) + '\x74' + chr(0b1011010 + 0o14) + '\x2d' + chr(56))):
return db1_IZvznkcy
xjPLimsZRgb9 = WqUC3KWvYVup.random.uniform(oVre8I6UXc3b.min_scale, oVre8I6UXc3b.max_scale)
vy6kJ6fVlhRH = tsdjvlgh9gDP(oVre8I6UXc3b.min_aspect_ratio, xjPLimsZRgb9 * xjPLimsZRgb9)
oEzOLyEUG0rJ = Dx22bkKPdt5d(oVre8I6UXc3b.max_aspect_ratio, 1.0 / xjPLimsZRgb9 / xjPLimsZRgb9)
pyiPBPsXZj35 = yhiZVkosCjBm.sqrt(WqUC3KWvYVup.random.uniform(vy6kJ6fVlhRH, oEzOLyEUG0rJ))
mPx09rBTrGXR = xjPLimsZRgb9 * pyiPBPsXZj35
if mPx09rBTrGXR < ehT0Px3KOsy9('\x30' + '\157' + '\061', 23637 - 23629):
continue
ehbUULKuygfC = xjPLimsZRgb9 / pyiPBPsXZj35
if ehbUULKuygfC < ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001), 8):
continue
mtX6HPOlWiYu = WqUC3KWvYVup.random.uniform(0.0, ehT0Px3KOsy9(chr(1474 - 1426) + chr(0b10010 + 0o135) + chr(718 - 669), 8) - mPx09rBTrGXR)
qxrVBjeryNEZ = WqUC3KWvYVup.random.uniform(0.0, ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001), 8) - ehbUULKuygfC)
isOYmsUx1jxa = mtX6HPOlWiYu + mPx09rBTrGXR
kbTbGu1iaXC_ = qxrVBjeryNEZ + ehbUULKuygfC
Ysui_seerJau = (mtX6HPOlWiYu, qxrVBjeryNEZ, isOYmsUx1jxa, kbTbGu1iaXC_)
wKlD5sjFxy2_ = WqUC3KWvYVup.dRFAC59yQBm_(TRUOLFLuD08x[:, ehT0Px3KOsy9('\060' + '\157' + '\x30', 8)] > -ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + chr(49), 8))[ehT0Px3KOsy9('\060' + '\157' + chr(0b110000), 8)]
VGYdJ81CxX_c = TRUOLFLuD08x[wKlD5sjFxy2_, :]
XFoToTbKBZal = []
for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(VGYdJ81CxX_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\x8c/C\x01\xaf\x9bh4\x00\x15\xeb'), chr(0b1100100) + chr(2079 - 1978) + chr(0b1000001 + 0o42) + chr(0b1101111) + chr(0b100101 + 0o77) + '\x65')(chr(117) + '\x74' + chr(0b111011 + 0o53) + '\x2d' + chr(2322 - 2266)))[ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 8)]):
iwLDVrOPwAXT = (VGYdJ81CxX_c[WVxHKyX45z_L, ehT0Px3KOsy9(chr(2252 - 2204) + chr(6509 - 6398) + '\061', 8)] - mtX6HPOlWiYu) / mPx09rBTrGXR
boaq9Hs5GNoO = (VGYdJ81CxX_c[WVxHKyX45z_L, ehT0Px3KOsy9(chr(0b110000) + chr(12169 - 12058) + '\x32', 0b1000)] - qxrVBjeryNEZ) / ehbUULKuygfC
_BorAvM1DJSA = (VGYdJ81CxX_c[WVxHKyX45z_L, ehT0Px3KOsy9('\x30' + chr(0b1111 + 0o140) + chr(0b110011), 0b1000)] - mtX6HPOlWiYu) / mPx09rBTrGXR
gMlDWMAO4ir9 = (VGYdJ81CxX_c[WVxHKyX45z_L, ehT0Px3KOsy9(chr(762 - 714) + chr(0b1101111) + chr(191 - 139), 8)] - qxrVBjeryNEZ) / ehbUULKuygfC
toaikw8ZeUKv = Dx22bkKPdt5d(_BorAvM1DJSA - iwLDVrOPwAXT, gMlDWMAO4ir9 - boaq9Hs5GNoO)
if toaikw8ZeUKv < xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\x844E\x00\x97\xa3w\x03\x11\x1a\xec'), chr(0b110100 + 0o60) + '\145' + chr(0b1001101 + 0o26) + chr(0b1101111) + chr(0b10000 + 0o124) + '\x65')(chr(117) + chr(0b1110100) + chr(102) + '\055' + '\070')):
XFoToTbKBZal = []
break
xafqLlk3kkUe(XFoToTbKBZal, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\x9d*\x7f\t\x87'), chr(100) + chr(758 - 657) + chr(8370 - 8271) + chr(0b1000111 + 0o50) + chr(0b1100100) + chr(0b1100101))(chr(6936 - 6819) + '\164' + '\146' + chr(45) + chr(1701 - 1645)))([VGYdJ81CxX_c[WVxHKyX45z_L, ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000), 8)], iwLDVrOPwAXT, boaq9Hs5GNoO, _BorAvM1DJSA, gMlDWMAO4ir9])
if not XFoToTbKBZal:
continue
XFoToTbKBZal = WqUC3KWvYVup.B0ePDhpqxN5n(XFoToTbKBZal)
TRUOLFLuD08x = WqUC3KWvYVup.lib.pad(XFoToTbKBZal, ((ehT0Px3KOsy9('\x30' + chr(5637 - 5526) + '\x30', 8), TRUOLFLuD08x.nauYfLglTpcb[ehT0Px3KOsy9(chr(1375 - 1327) + chr(0b10001 + 0o136) + chr(0b1010 + 0o46), 8)] - XFoToTbKBZal.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(111) + chr(148 - 100), 8)]), (ehT0Px3KOsy9('\060' + chr(0b1101111) + '\060', 8), ehT0Px3KOsy9(chr(216 - 168) + chr(7152 - 7041) + chr(48), 8))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9\x824i\x13\x82\x92p'), chr(0b100000 + 0o104) + chr(101) + chr(3815 - 3716) + chr(0b1001111 + 0o40) + '\x64' + chr(0b100101 + 0o100))(chr(11189 - 11072) + chr(647 - 531) + chr(0b1100001 + 0o5) + chr(1122 - 1077) + '\070'), constant_values=(-ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b110001), 8), -ehT0Px3KOsy9('\060' + chr(9233 - 9122) + chr(1851 - 1802), 8)))
xafqLlk3kkUe(db1_IZvznkcy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\x9d*\x7f\t\x87'), chr(0b1100100) + chr(0b1100101) + '\143' + '\157' + '\144' + '\145')('\165' + chr(10892 - 10776) + chr(6661 - 6559) + '\055' + chr(56)))((Ysui_seerJau, TRUOLFLuD08x))
ualWdDeXJEGO += ehT0Px3KOsy9('\060' + chr(0b110001 + 0o76) + chr(0b110001), 8)
return db1_IZvznkcy
|
apache/incubator-mxnet
|
benchmark/python/sparse/dot.py
|
measure_cost
|
def measure_cost(repeat, scipy_trans_lhs, scipy_dns_lhs, func_name, *args, **kwargs):
"""Measure time cost of running a function
"""
mx.nd.waitall()
args_list = []
for arg in args:
args_list.append(arg)
start = time.time()
if scipy_trans_lhs:
args_list[0] = np.transpose(args_list[0]) if scipy_dns_lhs else sp.spmatrix.transpose(args_list[0])
for _ in range(repeat):
func_name(*args_list, **kwargs)
mx.nd.waitall()
end = time.time()
diff = end - start
return diff / repeat
|
python
|
def measure_cost(repeat, scipy_trans_lhs, scipy_dns_lhs, func_name, *args, **kwargs):
"""Measure time cost of running a function
"""
mx.nd.waitall()
args_list = []
for arg in args:
args_list.append(arg)
start = time.time()
if scipy_trans_lhs:
args_list[0] = np.transpose(args_list[0]) if scipy_dns_lhs else sp.spmatrix.transpose(args_list[0])
for _ in range(repeat):
func_name(*args_list, **kwargs)
mx.nd.waitall()
end = time.time()
diff = end - start
return diff / repeat
|
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"time",
"(",
")",
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"end",
"-",
"start",
"return",
"diff",
"/",
"repeat"
] |
Measure time cost of running a function
|
[
"Measure",
"time",
"cost",
"of",
"running",
"a",
"function"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/benchmark/python/sparse/dot.py#L110-L125
|
train
|
Measure time cost of running a function in a random order
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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 + 0o0) + chr(49) + chr(0b100110 + 0o14) + chr(0b101000 + 0o11), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\063' + '\067', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\x37' + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\x37' + chr(535 - 481), 27607 - 27599), ehT0Px3KOsy9(chr(873 - 825) + chr(0b1101111) + chr(820 - 771) + chr(0b110110) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(12220 - 12109) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1218 - 1170) + '\157' + chr(51) + '\066' + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110011), 62028 - 62020), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1110 + 0o43) + chr(199 - 148) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(1027 - 977) + chr(0b101100 + 0o6), 29694 - 29686), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10011 + 0o37) + chr(49) + chr(1386 - 1335), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + '\063' + chr(2279 - 2226) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(2145 - 2097) + chr(6884 - 6773) + '\x35' + chr(0b110101), 49827 - 49819), ehT0Px3KOsy9('\060' + '\157' + chr(0b110110) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(979 - 931) + '\157' + chr(0b1001 + 0o51) + chr(0b100111 + 0o16) + chr(0b1001 + 0o55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101110 + 0o4) + chr(50) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2809 - 2755) + chr(0b1101 + 0o51), 56020 - 56012), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7289 - 7178) + chr(165 - 116) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(1807 - 1696) + '\063' + '\060' + chr(1430 - 1381), 53325 - 53317), ehT0Px3KOsy9(chr(1283 - 1235) + '\157' + chr(0b100100 + 0o16) + chr(0b110100) + chr(332 - 280), 0b1000), ehT0Px3KOsy9(chr(1409 - 1361) + chr(2182 - 2071) + '\x32' + chr(0b1100 + 0o44) + chr(55), 6835 - 6827), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110010) + chr(0b110101), 13782 - 13774), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(49) + '\067', 3593 - 3585), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11000 + 0o31) + chr(0b110100) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(5849 - 5738) + chr(373 - 323) + '\x35' + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110110) + chr(0b110111), 5352 - 5344), ehT0Px3KOsy9('\060' + chr(3685 - 3574) + '\066', 49034 - 49026), ehT0Px3KOsy9('\060' + chr(0b10000 + 0o137) + '\x31' + chr(0b100110 + 0o12) + chr(91 - 37), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\063' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1976 - 1928) + chr(0b1010 + 0o145) + '\063' + chr(53) + chr(548 - 500), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100100 + 0o13) + chr(50) + chr(0b110011) + chr(1807 - 1753), 0o10), ehT0Px3KOsy9(chr(908 - 860) + chr(0b1101111) + chr(0b110010) + '\x34' + chr(50), 40175 - 40167), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100110 + 0o11) + chr(0b10011 + 0o36) + chr(1883 - 1835) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(1434 - 1386) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8920 - 8809) + chr(0b110010) + chr(49) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(5259 - 5148) + '\062' + '\x33' + chr(572 - 520), 16711 - 16703), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(49) + chr(2483 - 2430) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b110000) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(167 - 116) + chr(0b11100 + 0o31) + chr(644 - 589), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + '\065' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f'), chr(8721 - 8621) + chr(101) + chr(6563 - 6464) + chr(0b1101111) + chr(1860 - 1760) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + chr(0b11001 + 0o24) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VGRLCoiFeOyT(hpyK9c505LBh, SB4NMO5Yp_zB, RWSrYG3Y9GqU, iyGI9pmJHTiU, *kJDRfRhcZHjS, **M8EIoTs2GJXE):
xafqLlk3kkUe(CIVheOt0RKQX.nd, xafqLlk3kkUe(SXOLrMavuUCe(b'&\xfe\x16\xca\x15k\x9e'), chr(3989 - 3889) + chr(101) + '\x63' + chr(11987 - 11876) + '\x64' + '\145')(chr(117) + '\x74' + chr(3979 - 3877) + '\x2d' + chr(56)))()
GnW1itWRY6tn = []
for LTE9MPUbqSos in kJDRfRhcZHjS:
xafqLlk3kkUe(GnW1itWRY6tn, xafqLlk3kkUe(SXOLrMavuUCe(b'0\xef\x0f\xdb\x1ac'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(100) + chr(6453 - 6352))(chr(1319 - 1202) + chr(116) + chr(8715 - 8613) + '\x2d' + chr(0b111000)))(LTE9MPUbqSos)
avRbFsnfJxQj = ltvhPP4VhXre.time()
if SB4NMO5Yp_zB:
GnW1itWRY6tn[ehT0Px3KOsy9('\x30' + chr(111) + chr(48), 8)] = WqUC3KWvYVup.transpose(GnW1itWRY6tn[ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + chr(2115 - 2067), 8)]) if RWSrYG3Y9GqU else ryOzkpXaokEu.spmatrix.transpose(GnW1itWRY6tn[ehT0Px3KOsy9('\060' + chr(8150 - 8039) + '\060', 8)])
for VNGQdHSFPrso in vQr8gNKaIaWE(hpyK9c505LBh):
iyGI9pmJHTiU(*GnW1itWRY6tn, **M8EIoTs2GJXE)
xafqLlk3kkUe(CIVheOt0RKQX.nd, xafqLlk3kkUe(SXOLrMavuUCe(b'&\xfe\x16\xca\x15k\x9e'), '\x64' + chr(1141 - 1040) + '\x63' + '\x6f' + chr(0b110000 + 0o64) + chr(101))(chr(117) + chr(0b1100000 + 0o24) + chr(0b1001100 + 0o32) + '\055' + '\070'))()
whWDZq5_lP01 = ltvhPP4VhXre.time()
A3JtwFGKVTf0 = whWDZq5_lP01 - avRbFsnfJxQj
return A3JtwFGKVTf0 / hpyK9c505LBh
|
apache/incubator-mxnet
|
example/ssd/dataset/pycocotools/coco.py
|
COCO.info
|
def info(self):
"""
Print information about the annotation file.
:return:
"""
for key, value in self.dataset['info'].items():
print('{}: {}'.format(key, value))
|
python
|
def info(self):
"""
Print information about the annotation file.
:return:
"""
for key, value in self.dataset['info'].items():
print('{}: {}'.format(key, value))
|
[
"def",
"info",
"(",
"self",
")",
":",
"for",
"key",
",",
"value",
"in",
"self",
".",
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"'info'",
"]",
".",
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"(",
")",
":",
"print",
"(",
"'{}: {}'",
".",
"format",
"(",
"key",
",",
"value",
")",
")"
] |
Print information about the annotation file.
:return:
|
[
"Print",
"information",
"about",
"the",
"annotation",
"file",
".",
":",
"return",
":"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/dataset/pycocotools/coco.py#L116-L122
|
train
|
Print information about the annotation file.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(1609 - 1498) + '\x32' + chr(50) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + chr(0b1010 + 0o47), 63055 - 63047), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10000 + 0o42) + chr(50) + chr(55), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101100 + 0o3) + '\x35', 33331 - 33323), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x35' + chr(52), 11669 - 11661), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + '\063' + chr(1932 - 1882), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + '\061' + chr(49) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b110111) + '\x33', 55190 - 55182), ehT0Px3KOsy9(chr(1388 - 1340) + '\x6f' + chr(0b10010 + 0o40) + chr(0b1101 + 0o51) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(49) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(48) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(120 - 9) + chr(49) + '\060' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(0b101110 + 0o3) + chr(54) + chr(1037 - 983), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(383 - 334) + '\x35' + chr(0b101011 + 0o11), 41229 - 41221), ehT0Px3KOsy9('\060' + chr(0b1010101 + 0o32) + chr(52) + chr(53), 27268 - 27260), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\x36' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + '\x32' + '\x32' + '\x37', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110010) + chr(502 - 448), ord("\x08")), ehT0Px3KOsy9(chr(210 - 162) + chr(0b1101111) + '\x33' + '\067' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12017 - 11906) + '\x33' + chr(749 - 701) + '\x33', 23100 - 23092), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1000001 + 0o56) + chr(1145 - 1094) + chr(0b110010) + chr(0b101101 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100111 + 0o12) + chr(1343 - 1295) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(2090 - 2042) + chr(0b1100001 + 0o16) + '\063' + chr(0b10010 + 0o45), 0b1000), ehT0Px3KOsy9('\x30' + chr(11194 - 11083) + chr(721 - 670) + chr(52) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2231 - 2120) + chr(50) + chr(0b100001 + 0o25) + '\063', 4953 - 4945), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(1926 - 1877) + '\062', 65192 - 65184), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\065' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\063' + chr(0b11000 + 0o36), 11350 - 11342), ehT0Px3KOsy9(chr(0b110000) + chr(4476 - 4365) + chr(0b1010 + 0o47) + chr(55) + chr(0b101101 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2076 - 2027) + '\067' + '\x33', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x35' + chr(1461 - 1411), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11878 - 11767) + '\063' + chr(54) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(51) + '\061' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110010) + '\x30', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(886 - 837) + '\067' + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b101001 + 0o7) + '\x33', 8), ehT0Px3KOsy9(chr(755 - 707) + chr(0b1101111) + '\062' + chr(0b110011) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b110001) + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110101) + chr(2401 - 2350), 16742 - 16734), ehT0Px3KOsy9('\060' + chr(111) + chr(1575 - 1524) + '\064' + chr(0b110011), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + '\x35' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9'), chr(9088 - 8988) + '\x65' + chr(0b110001 + 0o62) + chr(5009 - 4898) + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b1001011 + 0o33) + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def S7Hxucg7jlZk(oVre8I6UXc3b):
for (K3J4ZwSlE0sT, QmmgWUB13VCJ) in xafqLlk3kkUe(oVre8I6UXc3b.dataset[xafqLlk3kkUe(SXOLrMavuUCe(b'\xfeG\xf1j'), '\144' + '\x65' + chr(8787 - 8688) + chr(0b11100 + 0o123) + '\x64' + chr(8312 - 8211))('\165' + '\164' + chr(102) + chr(386 - 341) + '\070')], xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9S\xe1`\xa5@{2\xdb\x1e\xcc{'), chr(0b10010 + 0o122) + '\145' + '\143' + chr(1611 - 1500) + '\144' + chr(516 - 415))('\x75' + chr(0b1110100) + '\x66' + chr(45) + chr(0b111000)))():
zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xecT\xad%\x97g'), chr(0b1011 + 0o131) + chr(0b1100011 + 0o2) + chr(9588 - 9489) + '\x6f' + chr(0b1100100) + '\145')(chr(0b1011111 + 0o26) + chr(0b1110100) + '\x66' + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x1d\xe5j\xa4{\x1bH\xe7=\xe1('), '\x64' + chr(0b1100101) + '\x63' + chr(111) + chr(0b110001 + 0o63) + chr(101))('\165' + chr(10619 - 10503) + chr(384 - 282) + chr(0b101101) + '\x38'))(K3J4ZwSlE0sT, QmmgWUB13VCJ))
|
apache/incubator-mxnet
|
example/ssd/dataset/pycocotools/coco.py
|
COCO.getCatIds
|
def getCatIds(self, catNms=[], supNms=[], catIds=[]):
"""
filtering parameters. default skips that filter.
:param catNms (str array) : get cats for given cat names
:param supNms (str array) : get cats for given supercategory names
:param catIds (int array) : get cats for given cat ids
:return: ids (int array) : integer array of cat ids
"""
catNms = catNms if type(catNms) == list else [catNms]
supNms = supNms if type(supNms) == list else [supNms]
catIds = catIds if type(catIds) == list else [catIds]
if len(catNms) == len(supNms) == len(catIds) == 0:
cats = self.dataset['categories']
else:
cats = self.dataset['categories']
cats = cats if len(catNms) == 0 else [cat for cat in cats if cat['name'] in catNms]
cats = cats if len(supNms) == 0 else [cat for cat in cats if cat['supercategory'] in supNms]
cats = cats if len(catIds) == 0 else [cat for cat in cats if cat['id'] in catIds]
ids = [cat['id'] for cat in cats]
return ids
|
python
|
def getCatIds(self, catNms=[], supNms=[], catIds=[]):
"""
filtering parameters. default skips that filter.
:param catNms (str array) : get cats for given cat names
:param supNms (str array) : get cats for given supercategory names
:param catIds (int array) : get cats for given cat ids
:return: ids (int array) : integer array of cat ids
"""
catNms = catNms if type(catNms) == list else [catNms]
supNms = supNms if type(supNms) == list else [supNms]
catIds = catIds if type(catIds) == list else [catIds]
if len(catNms) == len(supNms) == len(catIds) == 0:
cats = self.dataset['categories']
else:
cats = self.dataset['categories']
cats = cats if len(catNms) == 0 else [cat for cat in cats if cat['name'] in catNms]
cats = cats if len(supNms) == 0 else [cat for cat in cats if cat['supercategory'] in supNms]
cats = cats if len(catIds) == 0 else [cat for cat in cats if cat['id'] in catIds]
ids = [cat['id'] for cat in cats]
return ids
|
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] |
filtering parameters. default skips that filter.
:param catNms (str array) : get cats for given cat names
:param supNms (str array) : get cats for given supercategory names
:param catIds (int array) : get cats for given cat ids
:return: ids (int array) : integer array of cat ids
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/dataset/pycocotools/coco.py#L152-L172
|
train
|
get the ids of the given categories
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b1001101 + 0o42) + '\063' + '\065' + chr(0b101111 + 0o1), 7797 - 7789), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(1073 - 962) + chr(0b110001) + chr(190 - 140) + '\x32', 65313 - 65305), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100110 + 0o14) + '\063' + chr(48), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b110101) + chr(0b101111 + 0o1), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100100 + 0o17) + chr(1299 - 1246) + '\063', 64440 - 64432), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + chr(0b110010) + chr(0b110000) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(48) + chr(48), 13965 - 13957), ehT0Px3KOsy9(chr(661 - 613) + chr(111) + chr(1728 - 1679) + chr(55) + '\x34', 56354 - 56346), ehT0Px3KOsy9(chr(0b110000) + chr(5823 - 5712) + chr(2407 - 2357) + chr(55) + chr(0b1000 + 0o50), 34519 - 34511), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1100000 + 0o17) + chr(51) + '\067' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(1745 - 1695) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3140 - 3029) + chr(51) + '\061' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b110001) + chr(49), 16031 - 16023), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b110100) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(647 - 599) + chr(111) + '\062' + chr(0b110100) + chr(0b110111), 12694 - 12686), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\x31' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10 + 0o61) + '\x32' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + chr(0b110100 + 0o2), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(441 - 392) + '\065', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\064' + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10101 + 0o35) + chr(52) + '\067', 8), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(1529 - 1480) + chr(0b11011 + 0o33) + chr(1729 - 1679), 43198 - 43190), ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + chr(0b110 + 0o54) + chr(0b110011) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1 + 0o60) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11100 + 0o32) + chr(52), 17050 - 17042), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\x37' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(196 - 147) + '\x35' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + '\x31' + chr(0b110001) + chr(2677 - 2624), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(1422 - 1371), 0o10), ehT0Px3KOsy9(chr(158 - 110) + chr(111) + chr(0b101001 + 0o12) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100011 + 0o16) + chr(127 - 77) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(0b110001) + chr(54) + chr(52), 0o10), ehT0Px3KOsy9(chr(374 - 326) + chr(7480 - 7369) + chr(1530 - 1481) + chr(54) + '\x34', 8), ehT0Px3KOsy9(chr(2253 - 2205) + '\x6f' + chr(0b110011) + '\x36' + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + chr(1902 - 1852) + '\x31' + chr(50), 0o10), ehT0Px3KOsy9(chr(1610 - 1562) + '\157' + chr(50) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(49) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(1891 - 1780) + chr(49) + chr(0b1110 + 0o45) + chr(0b10011 + 0o36), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\060' + chr(780 - 725), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(53) + '\060', 39643 - 39635)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6'), chr(0b1100100) + '\x65' + '\143' + chr(0b10000 + 0o137) + chr(377 - 277) + chr(0b101011 + 0o72))(chr(4512 - 4395) + chr(116) + chr(0b1100110) + chr(0b100001 + 0o14) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def b7t1LlyQNxun(oVre8I6UXc3b, czTu3ZOiI2kg=[], c35vW8wt6Zss=[], A5XEONRoMslG=[]):
czTu3ZOiI2kg = czTu3ZOiI2kg if PlSM16l2KDPD(czTu3ZOiI2kg, YyaZ4tpXu4lf) else [czTu3ZOiI2kg]
c35vW8wt6Zss = c35vW8wt6Zss if PlSM16l2KDPD(c35vW8wt6Zss, YyaZ4tpXu4lf) else [c35vW8wt6Zss]
A5XEONRoMslG = A5XEONRoMslG if PlSM16l2KDPD(A5XEONRoMslG, YyaZ4tpXu4lf) else [A5XEONRoMslG]
if c2A0yzQpDQB3(czTu3ZOiI2kg) == c2A0yzQpDQB3(c35vW8wt6Zss) == c2A0yzQpDQB3(A5XEONRoMslG) == ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 0o10):
_IZEDmb5AMbL = oVre8I6UXc3b.dataset[xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b3\xec\r\x8c\xec\xb2\x15\xdd\x8d'), chr(0b1100100) + chr(0b111101 + 0o50) + chr(1017 - 918) + chr(0b1101111) + chr(1259 - 1159) + '\145')('\x75' + chr(5045 - 4929) + '\146' + chr(0b101000 + 0o5) + chr(216 - 160))]
else:
_IZEDmb5AMbL = oVre8I6UXc3b.dataset[xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b3\xec\r\x8c\xec\xb2\x15\xdd\x8d'), chr(0b1100100) + '\x65' + '\143' + '\157' + '\x64' + chr(101))(chr(0b1110101) + chr(116) + chr(0b111001 + 0o55) + '\x2d' + chr(803 - 747))]
_IZEDmb5AMbL = _IZEDmb5AMbL if c2A0yzQpDQB3(czTu3ZOiI2kg) == ehT0Px3KOsy9('\x30' + chr(0b10101 + 0o132) + chr(0b10011 + 0o35), 8) else [re0VVGAVKu27 for re0VVGAVKu27 in _IZEDmb5AMbL if re0VVGAVKu27[xafqLlk3kkUe(SXOLrMavuUCe(b'\x863\xf5\r'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(111) + chr(100) + chr(0b1110 + 0o127))(chr(0b1110101) + chr(116) + chr(8083 - 7981) + '\x2d' + '\070')] in czTu3ZOiI2kg]
_IZEDmb5AMbL = _IZEDmb5AMbL if c2A0yzQpDQB3(c35vW8wt6Zss) == ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000), 8) else [re0VVGAVKu27 for re0VVGAVKu27 in _IZEDmb5AMbL if re0VVGAVKu27[xafqLlk3kkUe(SXOLrMavuUCe(b"\x9b'\xe8\r\x99\xe0\xa1\x08\xdd\x998\xbe\xb0"), '\x64' + '\x65' + chr(0b1100011) + '\x6f' + '\x64' + chr(0b1001000 + 0o35))(chr(10348 - 10231) + '\x74' + chr(3893 - 3791) + chr(1802 - 1757) + chr(0b100011 + 0o25))] in c35vW8wt6Zss]
_IZEDmb5AMbL = _IZEDmb5AMbL if c2A0yzQpDQB3(A5XEONRoMslG) == ehT0Px3KOsy9(chr(424 - 376) + chr(0b1101111) + '\060', 8) else [re0VVGAVKu27 for re0VVGAVKu27 in _IZEDmb5AMbL if re0VVGAVKu27[xafqLlk3kkUe(SXOLrMavuUCe(b'\x816'), chr(0b1100100) + chr(101) + '\x63' + chr(111) + chr(0b1010010 + 0o22) + chr(7146 - 7045))(chr(10873 - 10756) + chr(0b11100 + 0o130) + chr(3416 - 3314) + chr(1918 - 1873) + chr(0b10 + 0o66))] in A5XEONRoMslG]
zdjj2pRemk_P = [re0VVGAVKu27[xafqLlk3kkUe(SXOLrMavuUCe(b'\x816'), chr(0b101011 + 0o71) + chr(4694 - 4593) + chr(0b1100011) + chr(0b1101111) + chr(5544 - 5444) + '\x65')('\165' + '\164' + '\146' + chr(0b101101) + chr(56))] for re0VVGAVKu27 in _IZEDmb5AMbL]
return zdjj2pRemk_P
|
apache/incubator-mxnet
|
example/ssd/dataset/pycocotools/coco.py
|
COCO.loadAnns
|
def loadAnns(self, ids=[]):
"""
Load anns with the specified ids.
:param ids (int array) : integer ids specifying anns
:return: anns (object array) : loaded ann objects
"""
if type(ids) == list:
return [self.anns[id] for id in ids]
elif type(ids) == int:
return [self.anns[ids]]
|
python
|
def loadAnns(self, ids=[]):
"""
Load anns with the specified ids.
:param ids (int array) : integer ids specifying anns
:return: anns (object array) : loaded ann objects
"""
if type(ids) == list:
return [self.anns[id] for id in ids]
elif type(ids) == int:
return [self.anns[ids]]
|
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] |
Load anns with the specified ids.
:param ids (int array) : integer ids specifying anns
:return: anns (object array) : loaded ann objects
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/dataset/pycocotools/coco.py#L195-L204
|
train
|
Load anns with the specified ids.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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) + '\066' + chr(763 - 709), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(54) + chr(0b10001 + 0o45), 0o10), ehT0Px3KOsy9(chr(48) + chr(685 - 574) + '\x35' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(50) + chr(0b110101) + chr(0b110110), 53446 - 53438), ehT0Px3KOsy9(chr(2015 - 1967) + chr(111) + chr(0b101 + 0o54) + chr(51) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b1110 + 0o51) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6125 - 6014) + chr(0b11011 + 0o34) + chr(0b101001 + 0o7), 46103 - 46095), ehT0Px3KOsy9('\060' + chr(687 - 576) + chr(1471 - 1420) + '\x36' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\x32' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + chr(0b100011 + 0o17) + '\066' + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\x35' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b110 + 0o60) + chr(0b1011 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110100) + chr(639 - 590), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b110010) + chr(0b1101 + 0o43), 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(1084 - 1035) + '\063' + chr(455 - 403), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\x35' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(405 - 356) + chr(0b110001) + '\x37', 48588 - 48580), ehT0Px3KOsy9(chr(48) + chr(0b100000 + 0o117) + '\062' + chr(0b100111 + 0o14) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(9202 - 9091) + chr(50) + chr(0b110101) + chr(49), 44987 - 44979), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110100) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + chr(0b101 + 0o54) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b11101 + 0o26), 0o10), ehT0Px3KOsy9(chr(48) + chr(11594 - 11483) + chr(50) + '\x31' + chr(0b100111 + 0o20), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b1110 + 0o43) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100100 + 0o17) + chr(118 - 69) + chr(0b101111 + 0o4), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110001 + 0o76) + chr(0b110011) + chr(0b110110) + '\x30', 40016 - 40008), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + '\062' + chr(0b110100) + chr(0b10111 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + '\063' + chr(973 - 925) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110110) + '\067', 47068 - 47060), ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + chr(0b110010) + '\x33' + '\067', 8), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(2083 - 2032) + '\x34' + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\x36' + chr(340 - 287), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110110) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(0b110011) + chr(0b110010) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1 + 0o60) + chr(0b100011 + 0o17) + '\065', 10322 - 10314), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(48) + chr(0b110000), 48273 - 48265), ehT0Px3KOsy9('\x30' + '\x6f' + chr(951 - 902) + chr(0b10011 + 0o37) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(237 - 126) + '\x34' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(287 - 176) + chr(0b110010) + chr(0b110101) + chr(0b110001), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + '\065' + chr(0b10 + 0o56), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'X'), chr(0b100010 + 0o102) + chr(0b1100101) + '\x63' + chr(0b1101 + 0o142) + chr(0b101110 + 0o66) + chr(136 - 35))(chr(0b1110101) + chr(8664 - 8548) + chr(0b1000100 + 0o42) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def pDAuAS6y8v6f(oVre8I6UXc3b, zdjj2pRemk_P=[]):
if PlSM16l2KDPD(zdjj2pRemk_P, YyaZ4tpXu4lf):
return [xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\x98B\xdd'), chr(100) + chr(0b1100101) + '\143' + chr(111) + chr(0b111010 + 0o52) + '\145')('\x75' + chr(1434 - 1318) + chr(309 - 207) + '\055' + chr(0b10010 + 0o46)))[z8EhBlYI2Bx4] for z8EhBlYI2Bx4 in zdjj2pRemk_P]
elif PlSM16l2KDPD(zdjj2pRemk_P, ehT0Px3KOsy9):
return [xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\x98B\xdd'), chr(0b100110 + 0o76) + chr(6244 - 6143) + chr(0b1100011) + '\x6f' + '\144' + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + '\055' + chr(0b111000)))[zdjj2pRemk_P]]
|
apache/incubator-mxnet
|
example/ssd/dataset/pycocotools/coco.py
|
COCO.loadCats
|
def loadCats(self, ids=[]):
"""
Load cats with the specified ids.
:param ids (int array) : integer ids specifying cats
:return: cats (object array) : loaded cat objects
"""
if type(ids) == list:
return [self.cats[id] for id in ids]
elif type(ids) == int:
return [self.cats[ids]]
|
python
|
def loadCats(self, ids=[]):
"""
Load cats with the specified ids.
:param ids (int array) : integer ids specifying cats
:return: cats (object array) : loaded cat objects
"""
if type(ids) == list:
return [self.cats[id] for id in ids]
elif type(ids) == int:
return [self.cats[ids]]
|
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] |
Load cats with the specified ids.
:param ids (int array) : integer ids specifying cats
:return: cats (object array) : loaded cat objects
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/dataset/pycocotools/coco.py#L206-L215
|
train
|
Load cats with the specified ids.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(12021 - 11910) + chr(0b110010) + '\064' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(48) + chr(0b101010 + 0o6), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110110), 55616 - 55608), ehT0Px3KOsy9('\060' + chr(8308 - 8197) + chr(52) + '\064', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(217 - 168) + chr(0b11000 + 0o35), 0o10), ehT0Px3KOsy9(chr(48) + chr(8340 - 8229) + chr(0b100000 + 0o22) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4754 - 4643) + chr(0b110011) + chr(508 - 460) + chr(431 - 380), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10 + 0o61) + chr(53) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\067' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8496 - 8385) + '\062' + chr(54) + chr(50), 0o10), ehT0Px3KOsy9(chr(840 - 792) + '\157' + '\x33' + '\066' + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(11924 - 11813) + chr(49) + chr(0b101001 + 0o7) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x36' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1268 - 1220) + chr(0b1101111) + chr(549 - 500) + '\x32' + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(1608 - 1553) + chr(0b10111 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(1835 - 1787) + '\x6f' + chr(129 - 78) + '\x35' + chr(0b100011 + 0o22), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\061' + chr(0b110000 + 0o3), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(54) + '\x34', 0b1000), ehT0Px3KOsy9(chr(1864 - 1816) + chr(9547 - 9436) + '\x31' + chr(900 - 852) + chr(1336 - 1287), 22529 - 22521), ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + '\x33' + chr(0b110101) + '\x35', 8), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + '\x32' + chr(0b11101 + 0o27) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + chr(51) + chr(0b110010 + 0o0) + chr(0b11000 + 0o37), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010011 + 0o34) + chr(580 - 529) + chr(55) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101110 + 0o3) + '\x34' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(1692 - 1643) + chr(55) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(52) + '\065', 8), ehT0Px3KOsy9(chr(1389 - 1341) + chr(111) + '\x32' + chr(0b11101 + 0o23) + chr(0b110010), 27877 - 27869), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(143 - 88) + '\065', 8), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + chr(1630 - 1579) + chr(53) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1742 - 1694) + '\157' + '\061' + chr(0b101111 + 0o6), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b110000) + chr(2014 - 1963), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(54) + chr(0b11110 + 0o31), 8398 - 8390), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\067' + chr(0b101110 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\x32' + '\063', 57046 - 57038), ehT0Px3KOsy9(chr(360 - 312) + chr(111) + chr(0b11 + 0o60) + chr(53), 23317 - 23309), ehT0Px3KOsy9(chr(0b110000) + chr(7765 - 7654) + '\x31' + chr(2179 - 2127) + '\x31', 39589 - 39581), ehT0Px3KOsy9('\x30' + chr(0b1001110 + 0o41) + chr(51) + '\062' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(51) + chr(0b101001 + 0o15) + chr(1461 - 1406), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(0b0 + 0o65) + chr(1114 - 1066), 0o10), ehT0Px3KOsy9(chr(1188 - 1140) + chr(0b1011011 + 0o24) + chr(708 - 657) + chr(0b110010) + '\x31', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + '\065' + chr(0b101011 + 0o5), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d'), '\x64' + '\x65' + '\143' + chr(0b1001111 + 0o40) + '\x64' + chr(101))(chr(117) + '\x74' + chr(0b1010010 + 0o24) + '\x2d' + chr(0b1101 + 0o53)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RKhthRNJypBm(oVre8I6UXc3b, zdjj2pRemk_P=[]):
if PlSM16l2KDPD(zdjj2pRemk_P, YyaZ4tpXu4lf):
return [xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\tDaIz\xa1\xda\xfd\xff\x90\x0e'), chr(9404 - 9304) + chr(0b110110 + 0o57) + chr(0b1100011) + '\x6f' + chr(9208 - 9108) + chr(8927 - 8826))('\165' + chr(7315 - 7199) + chr(102) + chr(45) + '\x38'))[z8EhBlYI2Bx4] for z8EhBlYI2Bx4 in zdjj2pRemk_P]
elif PlSM16l2KDPD(zdjj2pRemk_P, ehT0Px3KOsy9):
return [xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\tDaIz\xa1\xda\xfd\xff\x90\x0e'), chr(100) + '\x65' + chr(0b1100011) + chr(2374 - 2263) + '\144' + '\x65')('\x75' + chr(116) + chr(0b1100110) + chr(340 - 295) + '\070'))[zdjj2pRemk_P]]
|
apache/incubator-mxnet
|
example/ssd/dataset/pycocotools/coco.py
|
COCO.loadImgs
|
def loadImgs(self, ids=[]):
"""
Load anns with the specified ids.
:param ids (int array) : integer ids specifying img
:return: imgs (object array) : loaded img objects
"""
if type(ids) == list:
return [self.imgs[id] for id in ids]
elif type(ids) == int:
return [self.imgs[ids]]
|
python
|
def loadImgs(self, ids=[]):
"""
Load anns with the specified ids.
:param ids (int array) : integer ids specifying img
:return: imgs (object array) : loaded img objects
"""
if type(ids) == list:
return [self.imgs[id] for id in ids]
elif type(ids) == int:
return [self.imgs[ids]]
|
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"]"
] |
Load anns with the specified ids.
:param ids (int array) : integer ids specifying img
:return: imgs (object array) : loaded img objects
|
[
"Load",
"anns",
"with",
"the",
"specified",
"ids",
".",
":",
"param",
"ids",
"(",
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"array",
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"loaded",
"img",
"objects"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/dataset/pycocotools/coco.py#L217-L226
|
train
|
Load an img objects with the specified ids.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(12146 - 12035) + chr(49) + chr(51) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1225 - 1174) + chr(680 - 632) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8862 - 8751) + chr(55) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(1140 - 1091) + chr(0b110110 + 0o0) + chr(0b100110 + 0o15), 17421 - 17413), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1101 + 0o46) + chr(53) + chr(0b110010), 59533 - 59525), ehT0Px3KOsy9('\060' + chr(11019 - 10908) + chr(0b110011) + chr(0b110011) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(355 - 305) + chr(1089 - 1034), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(52) + chr(55), 0o10), ehT0Px3KOsy9(chr(69 - 21) + '\157' + '\062' + chr(1565 - 1516) + chr(0b101000 + 0o13), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8438 - 8327) + chr(0b110010) + '\062' + chr(0b101111 + 0o2), 0o10), ehT0Px3KOsy9(chr(1058 - 1010) + chr(111) + chr(51) + chr(1500 - 1450) + chr(0b101111 + 0o4), 44829 - 44821), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(0b11000 + 0o37) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1418 - 1368) + chr(0b110000) + chr(0b0 + 0o65), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011 + 0o144) + chr(53) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(53) + chr(1126 - 1073), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(889 - 778) + chr(50) + chr(0b101101 + 0o6) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110 + 0o151) + '\x31' + chr(0b110000) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\067' + chr(0b1001 + 0o56), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(469 - 419) + '\x36' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(825 - 771) + chr(0b10010 + 0o45), 25080 - 25072), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + '\x34' + chr(593 - 541), 0b1000), ehT0Px3KOsy9('\060' + chr(7346 - 7235) + chr(50) + '\x32' + chr(49), 8), ehT0Px3KOsy9(chr(1453 - 1405) + chr(111) + chr(0b110011) + '\065' + chr(1533 - 1481), ord("\x08")), ehT0Px3KOsy9(chr(1184 - 1136) + '\157' + chr(51) + chr(690 - 642) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5869 - 5758) + chr(49) + '\061' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10111 + 0o32) + chr(0b101011 + 0o10) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b1111 + 0o44) + chr(0b1101 + 0o44), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1066 - 1015) + chr(48) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110111) + chr(1590 - 1538), 8), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\x31' + chr(0b101110 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1100110 + 0o11) + chr(1170 - 1121) + chr(0b110010) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(829 - 718) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11011 + 0o30) + chr(0b110000) + '\067', 39006 - 38998), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110010) + chr(1916 - 1861), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1100011 + 0o14) + chr(0b110011) + chr(0b110001) + chr(402 - 349), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10101 + 0o35) + '\x33' + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(7454 - 7343) + chr(0b110001) + chr(543 - 492) + chr(0b1001 + 0o56), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(2131 - 2083) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1969 - 1920) + chr(52) + chr(0b11001 + 0o27), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\x35' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b't'), chr(0b1100100) + '\145' + '\x63' + chr(0b1100011 + 0o14) + chr(8379 - 8279) + chr(0b111000 + 0o55))(chr(0b1111 + 0o146) + chr(116) + '\146' + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def vr1yu8dJnmAf(oVre8I6UXc3b, zdjj2pRemk_P=[]):
if PlSM16l2KDPD(zdjj2pRemk_P, YyaZ4tpXu4lf):
return [xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'-\x84i#\xbb\xb1 ~\xbd\xdb\x83k'), chr(0b1010 + 0o132) + '\145' + chr(99) + '\157' + chr(7292 - 7192) + '\x65')('\165' + '\x74' + chr(2395 - 2293) + '\x2d' + chr(0b100101 + 0o23)))[z8EhBlYI2Bx4] for z8EhBlYI2Bx4 in zdjj2pRemk_P]
elif PlSM16l2KDPD(zdjj2pRemk_P, ehT0Px3KOsy9):
return [xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'-\x84i#\xbb\xb1 ~\xbd\xdb\x83k'), chr(100) + '\145' + chr(99) + '\157' + chr(0b100011 + 0o101) + '\145')(chr(0b1110101) + chr(0b10100 + 0o140) + chr(1647 - 1545) + chr(0b101101) + chr(0b110 + 0o62)))[zdjj2pRemk_P]]
|
apache/incubator-mxnet
|
example/ssd/dataset/pycocotools/coco.py
|
COCO.showAnns
|
def showAnns(self, anns):
"""
Display the specified annotations.
:param anns (array of object): annotations to display
:return: None
"""
if len(anns) == 0:
return 0
if 'segmentation' in anns[0] or 'keypoints' in anns[0]:
datasetType = 'instances'
elif 'caption' in anns[0]:
datasetType = 'captions'
else:
raise Exception('datasetType not supported')
if datasetType == 'instances':
ax = plt.gca()
ax.set_autoscale_on(False)
polygons = []
color = []
for ann in anns:
c = (np.random.random((1, 3))*0.6+0.4).tolist()[0]
if 'segmentation' in ann:
if type(ann['segmentation']) == list:
# polygon
for seg in ann['segmentation']:
poly = np.array(seg).reshape((int(len(seg)/2), 2))
polygons.append(Polygon(poly))
color.append(c)
else:
# mask
raise NotImplementedError("maskUtils disabled!")
if 'keypoints' in ann and type(ann['keypoints']) == list:
# turn skeleton into zero-based index
sks = np.array(self.loadCats(ann['category_id'])[0]['skeleton'])-1
kp = np.array(ann['keypoints'])
x = kp[0::3]
y = kp[1::3]
v = kp[2::3]
for sk in sks:
if np.all(v[sk]>0):
plt.plot(x[sk],y[sk], linewidth=3, color=c)
plt.plot(x[v>0], y[v>0],'o',markersize=8, markerfacecolor=c, markeredgecolor='k',markeredgewidth=2)
plt.plot(x[v>1], y[v>1],'o',markersize=8, markerfacecolor=c, markeredgecolor=c, markeredgewidth=2)
p = PatchCollection(polygons, facecolor=color, linewidths=0, alpha=0.4)
ax.add_collection(p)
p = PatchCollection(polygons, facecolor='none', edgecolors=color, linewidths=2)
ax.add_collection(p)
elif datasetType == 'captions':
for ann in anns:
print(ann['caption'])
|
python
|
def showAnns(self, anns):
"""
Display the specified annotations.
:param anns (array of object): annotations to display
:return: None
"""
if len(anns) == 0:
return 0
if 'segmentation' in anns[0] or 'keypoints' in anns[0]:
datasetType = 'instances'
elif 'caption' in anns[0]:
datasetType = 'captions'
else:
raise Exception('datasetType not supported')
if datasetType == 'instances':
ax = plt.gca()
ax.set_autoscale_on(False)
polygons = []
color = []
for ann in anns:
c = (np.random.random((1, 3))*0.6+0.4).tolist()[0]
if 'segmentation' in ann:
if type(ann['segmentation']) == list:
# polygon
for seg in ann['segmentation']:
poly = np.array(seg).reshape((int(len(seg)/2), 2))
polygons.append(Polygon(poly))
color.append(c)
else:
# mask
raise NotImplementedError("maskUtils disabled!")
if 'keypoints' in ann and type(ann['keypoints']) == list:
# turn skeleton into zero-based index
sks = np.array(self.loadCats(ann['category_id'])[0]['skeleton'])-1
kp = np.array(ann['keypoints'])
x = kp[0::3]
y = kp[1::3]
v = kp[2::3]
for sk in sks:
if np.all(v[sk]>0):
plt.plot(x[sk],y[sk], linewidth=3, color=c)
plt.plot(x[v>0], y[v>0],'o',markersize=8, markerfacecolor=c, markeredgecolor='k',markeredgewidth=2)
plt.plot(x[v>1], y[v>1],'o',markersize=8, markerfacecolor=c, markeredgecolor=c, markeredgewidth=2)
p = PatchCollection(polygons, facecolor=color, linewidths=0, alpha=0.4)
ax.add_collection(p)
p = PatchCollection(polygons, facecolor='none', edgecolors=color, linewidths=2)
ax.add_collection(p)
elif datasetType == 'captions':
for ann in anns:
print(ann['caption'])
|
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"(",
"polygons",
",",
"facecolor",
"=",
"'none'",
",",
"edgecolors",
"=",
"color",
",",
"linewidths",
"=",
"2",
")",
"ax",
".",
"add_collection",
"(",
"p",
")",
"elif",
"datasetType",
"==",
"'captions'",
":",
"for",
"ann",
"in",
"anns",
":",
"print",
"(",
"ann",
"[",
"'caption'",
"]",
")"
] |
Display the specified annotations.
:param anns (array of object): annotations to display
:return: None
|
[
"Display",
"the",
"specified",
"annotations",
".",
":",
"param",
"anns",
"(",
"array",
"of",
"object",
")",
":",
"annotations",
"to",
"display",
":",
"return",
":",
"None"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/dataset/pycocotools/coco.py#L228-L277
|
train
|
Display the specified annotations.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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' + chr(0b110101) + '\064', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1000111 + 0o50) + chr(49) + chr(280 - 228) + chr(0b110001), 27965 - 27957), ehT0Px3KOsy9(chr(474 - 426) + '\157' + chr(2317 - 2266) + chr(51) + chr(0b0 + 0o62), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b101 + 0o57) + chr(0b1100 + 0o50), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b110100) + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(48) + chr(0b101011 + 0o11), 64082 - 64074), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + chr(0b110001) + chr(2808 - 2754) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000 + 0o147) + '\x31' + chr(0b10001 + 0o43) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\x34' + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b110101) + chr(0b101001 + 0o13), 64486 - 64478), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x37' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + chr(781 - 731) + chr(0b110010) + chr(2519 - 2465), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b101000 + 0o107) + chr(61 - 10) + '\064' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(2022 - 1974) + '\157' + chr(0b1000 + 0o52) + '\062' + chr(2959 - 2904), 42272 - 42264), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(2513 - 2461) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + chr(692 - 641) + chr(0b10100 + 0o36) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + '\x32' + chr(48) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b110011) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(2021 - 1966) + chr(0b100 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\064' + chr(0b100001 + 0o22), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10001 + 0o41) + chr(1945 - 1897) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + '\x32' + '\064' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(50) + '\062' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(157 - 109) + '\x6f' + chr(0b110010) + chr(0b110110) + chr(0b110000), 20285 - 20277), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\x37' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(0b110011) + '\x33' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3585 - 3474) + '\061' + chr(1730 - 1675), 7532 - 7524), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b110011) + '\x34', 0b1000), ehT0Px3KOsy9(chr(674 - 626) + '\x6f' + chr(0b110010) + '\061' + '\062', 56219 - 56211), ehT0Px3KOsy9(chr(0b110000) + chr(3353 - 3242) + chr(0b110101) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1231 - 1180) + chr(0b11000 + 0o30), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + '\x33' + '\x32' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1772 - 1721) + chr(534 - 486), 8), ehT0Px3KOsy9('\060' + chr(0b1001010 + 0o45) + '\x31' + chr(51) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(48) + chr(53), 10737 - 10729), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101 + 0o56) + chr(519 - 464) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1100011 + 0o14) + chr(0b110001) + chr(0b11001 + 0o34) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(4093 - 3982) + '\x32' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(1647 - 1593) + chr(51), 40032 - 40024)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(1057 - 1004) + '\060', 15123 - 15115)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x02'), chr(0b10 + 0o142) + chr(0b100101 + 0o100) + '\143' + chr(111) + chr(0b101110 + 0o66) + '\145')('\x75' + chr(0b1110100) + chr(5414 - 5312) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FEtf7Y9FxU_3(oVre8I6UXc3b, XpMHKyrIkluA):
if c2A0yzQpDQB3(XpMHKyrIkluA) == ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101010 + 0o6), 0o10):
return ehT0Px3KOsy9('\060' + '\157' + chr(1555 - 1507), 8)
if xafqLlk3kkUe(SXOLrMavuUCe(b'_\x04\xbd\xc9\x04\xea\x07\x02\x15\xc5V\xf8'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1011011 + 0o11) + chr(0b10000 + 0o125))('\x75' + chr(3557 - 3441) + chr(0b10011 + 0o123) + chr(0b101101) + '\070') in XpMHKyrIkluA[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(48), 8)] or xafqLlk3kkUe(SXOLrMavuUCe(b'G\x04\xa3\xd4\x0e\xed\x1d\x17\x12'), chr(0b1100100) + '\145' + chr(7999 - 7900) + chr(1177 - 1066) + chr(0b1100100) + chr(5996 - 5895))('\x75' + chr(116) + chr(102) + chr(0b10001 + 0o34) + chr(56)) in XpMHKyrIkluA[ehT0Px3KOsy9('\060' + chr(8622 - 8511) + chr(0b11011 + 0o25), 8)]:
xxeISL0NRIdb = xafqLlk3kkUe(SXOLrMavuUCe(b'E\x0f\xa9\xd0\x00\xea\x10\x06\x12'), chr(0b1100100) + '\x65' + chr(9769 - 9670) + chr(8031 - 7920) + '\x64' + chr(382 - 281))(chr(2159 - 2042) + '\x74' + chr(0b100011 + 0o103) + chr(45) + chr(0b111000))
elif xafqLlk3kkUe(SXOLrMavuUCe(b'O\x00\xaa\xd0\x08\xeb\x1d'), chr(9006 - 8906) + '\145' + chr(0b1101 + 0o126) + '\x6f' + chr(1772 - 1672) + '\145')(chr(0b101010 + 0o113) + chr(0b1110100) + chr(102) + '\x2d' + '\x38') in XpMHKyrIkluA[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(584 - 536), 8)]:
xxeISL0NRIdb = xafqLlk3kkUe(SXOLrMavuUCe(b'O\x00\xaa\xd0\x08\xeb\x1d\x10'), chr(100) + chr(3792 - 3691) + '\143' + chr(111) + '\x64' + '\x65')(chr(0b1001100 + 0o51) + '\x74' + chr(0b1001000 + 0o36) + chr(0b101101) + chr(0b111000))
else:
raise jLmadlzMdunT(xafqLlk3kkUe(SXOLrMavuUCe(b'H\x00\xae\xc5\x12\xe1\x077\x18\xdc\\\xb6\x8e\xf8\xd3\xf3q\xf2\xe9\n\xcc\xf1\xd2\xf7\xd4'), chr(5109 - 5009) + '\145' + chr(0b1011110 + 0o5) + '\x6f' + chr(100) + chr(0b1100101))(chr(4247 - 4130) + chr(116) + chr(4894 - 4792) + chr(0b1000 + 0o45) + chr(56)))
if xxeISL0NRIdb == xafqLlk3kkUe(SXOLrMavuUCe(b'E\x0f\xa9\xd0\x00\xea\x10\x06\x12'), '\x64' + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1000110 + 0o37))('\165' + chr(7112 - 6996) + chr(3671 - 3569) + chr(45) + '\x38'):
UFCqCPYQEkxy = eRubm8FH879n.gca()
xafqLlk3kkUe(UFCqCPYQEkxy, xafqLlk3kkUe(SXOLrMavuUCe(b'_\x04\xae\xfb\x00\xf1\x07\x0c\x12\xcfX\xfa\x85\xc8\xc8\xbd'), chr(613 - 513) + chr(0b101110 + 0o67) + '\x63' + chr(0b1011000 + 0o27) + chr(0b1100100) + '\x65')(chr(117) + '\164' + chr(0b1100110) + '\055' + '\x38'))(ehT0Px3KOsy9(chr(48) + '\157' + '\x30', 8))
hzc4MPFHvTgJ = []
pxiSFVqpMRzu = []
for qWimbzUT4BHp in XpMHKyrIkluA:
qzn1Ctg9WgNh = (WqUC3KWvYVup.random.random((ehT0Px3KOsy9(chr(520 - 472) + chr(0b111111 + 0o60) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(2179 - 2131) + chr(0b100101 + 0o112) + '\063', 49816 - 49808))) * 0.6 + 0.4).tolist()[ehT0Px3KOsy9('\060' + chr(111) + chr(802 - 754), 8)]
if xafqLlk3kkUe(SXOLrMavuUCe(b'_\x04\xbd\xc9\x04\xea\x07\x02\x15\xc5V\xf8'), '\144' + '\x65' + '\143' + chr(0b1100001 + 0o16) + chr(0b1100100) + '\x65')('\x75' + chr(0b1110100) + '\x66' + chr(0b1101 + 0o40) + chr(56)) in qWimbzUT4BHp:
if PlSM16l2KDPD(qWimbzUT4BHp[xafqLlk3kkUe(SXOLrMavuUCe(b'_\x04\xbd\xc9\x04\xea\x07\x02\x15\xc5V\xf8'), chr(0b110010 + 0o62) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b101011 + 0o71) + chr(8479 - 8378))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b111000))], YyaZ4tpXu4lf):
for t8OqTLH4p9Bl in qWimbzUT4BHp[xafqLlk3kkUe(SXOLrMavuUCe(b'_\x04\xbd\xc9\x04\xea\x07\x02\x15\xc5V\xf8'), chr(0b101011 + 0o71) + '\145' + chr(0b1100011) + chr(0b101001 + 0o106) + '\144' + chr(293 - 192))(chr(117) + chr(1947 - 1831) + '\x66' + chr(0b101101) + chr(56))]:
dmOzwp2KYzee = WqUC3KWvYVup.array(t8OqTLH4p9Bl).reshape((ehT0Px3KOsy9(c2A0yzQpDQB3(t8OqTLH4p9Bl) / ehT0Px3KOsy9('\060' + chr(111) + '\x32', 8)), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11100 + 0o26), 8)))
xafqLlk3kkUe(hzc4MPFHvTgJ, xafqLlk3kkUe(SXOLrMavuUCe(b'M\x11\xaa\xc1\x0f\xe0'), chr(100) + '\145' + chr(4747 - 4648) + chr(0b1000110 + 0o51) + '\x64' + chr(0b1100101))(chr(0b1101000 + 0o15) + '\x74' + '\146' + chr(0b0 + 0o55) + chr(0b111000)))(CmYGAMMuL3CJ(dmOzwp2KYzee))
xafqLlk3kkUe(pxiSFVqpMRzu, xafqLlk3kkUe(SXOLrMavuUCe(b'M\x11\xaa\xc1\x0f\xe0'), chr(7210 - 7110) + chr(8892 - 8791) + chr(0b10 + 0o141) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + chr(0b101101) + '\070'))(qzn1Ctg9WgNh)
else:
raise _zJ24Vce7wp0(xafqLlk3kkUe(SXOLrMavuUCe(b'A\x00\xa9\xcf4\xf0\x1a\x0f\x12\x8c]\xff\x93\xf6\xc5\xbfg\xe3\xb8'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + '\144' + '\x65')(chr(0b1110101) + chr(116) + '\146' + '\055' + chr(0b101011 + 0o15)))
if xafqLlk3kkUe(SXOLrMavuUCe(b'G\x04\xa3\xd4\x0e\xed\x1d\x17\x12'), chr(0b100101 + 0o77) + chr(0b1100010 + 0o3) + '\143' + '\x6f' + '\x64' + chr(0b1100101))('\165' + '\164' + '\146' + chr(0b101101) + chr(0b111000)) in qWimbzUT4BHp and PlSM16l2KDPD(qWimbzUT4BHp[xafqLlk3kkUe(SXOLrMavuUCe(b'G\x04\xa3\xd4\x0e\xed\x1d\x17\x12'), '\144' + chr(0b1100101) + '\x63' + chr(111) + chr(0b1000000 + 0o44) + '\145')(chr(0b1110101) + chr(116) + chr(102) + chr(0b101101) + '\x38')], YyaZ4tpXu4lf):
KOC0hwQzubxx = WqUC3KWvYVup.B0ePDhpqxN5n(oVre8I6UXc3b.loadCats(qWimbzUT4BHp[xafqLlk3kkUe(SXOLrMavuUCe(b'O\x00\xae\xc1\x06\xeb\x01\x1a>\xc5]'), chr(0b1100100) + chr(0b1100101) + chr(0b111001 + 0o52) + chr(111) + chr(1097 - 997) + chr(0b1100101))(chr(6101 - 5984) + chr(0b1110100) + chr(0b1001111 + 0o27) + chr(0b101000 + 0o5) + chr(56))])[ehT0Px3KOsy9(chr(48) + '\157' + '\060', 8)][xafqLlk3kkUe(SXOLrMavuUCe(b'_\n\xbf\xc8\x04\xf0\x1c\r'), chr(0b101111 + 0o65) + chr(0b1100101) + '\143' + '\x6f' + chr(0b110011 + 0o61) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1000110 + 0o40) + '\x2d' + '\x38')]) - ehT0Px3KOsy9('\x30' + '\x6f' + chr(362 - 313), 8)
defjrpO_eoyL = WqUC3KWvYVup.B0ePDhpqxN5n(qWimbzUT4BHp[xafqLlk3kkUe(SXOLrMavuUCe(b'G\x04\xa3\xd4\x0e\xed\x1d\x17\x12'), '\144' + chr(101) + chr(7602 - 7503) + chr(5141 - 5030) + chr(0b1100100) + chr(101))('\165' + chr(0b1110100) + '\146' + '\x2d' + chr(1257 - 1201))])
OeWW0F1dBPRQ = defjrpO_eoyL[ehT0Px3KOsy9(chr(2157 - 2109) + '\x6f' + chr(48), 8)::ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1966 - 1915), 8)]
SqiSOtYOqOJH = defjrpO_eoyL[ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + '\061', 8)::ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1313 - 1262), 8)]
cMbll0QYhULo = defjrpO_eoyL[ehT0Px3KOsy9('\x30' + '\157' + chr(0b1111 + 0o43), 8)::ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(51), 8)]
for vmwyWeo57FD_ in KOC0hwQzubxx:
if xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'h\r\xee\x9c\x0f\xeeB\x11\x03\xc5\x0b\xa5'), chr(3825 - 3725) + '\x65' + chr(99) + chr(0b1101111) + chr(0b1001 + 0o133) + chr(9740 - 9639))(chr(1942 - 1825) + chr(7955 - 7839) + chr(7151 - 7049) + chr(45) + chr(0b101000 + 0o20)))(cMbll0QYhULo[vmwyWeo57FD_] > ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1715 - 1667), 8)):
xafqLlk3kkUe(eRubm8FH879n, xafqLlk3kkUe(SXOLrMavuUCe(b'\\\r\xb5\xd0'), chr(100) + '\x65' + chr(99) + chr(0b110101 + 0o72) + '\x64' + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + chr(630 - 585) + chr(0b111000)))(OeWW0F1dBPRQ[vmwyWeo57FD_], SqiSOtYOqOJH[vmwyWeo57FD_], linewidth=ehT0Px3KOsy9('\060' + chr(111) + '\x33', 8), color=qzn1Ctg9WgNh)
xafqLlk3kkUe(eRubm8FH879n, xafqLlk3kkUe(SXOLrMavuUCe(b'\\\r\xb5\xd0'), chr(100) + '\145' + '\x63' + '\x6f' + chr(100) + '\145')(chr(117) + '\164' + chr(0b101011 + 0o73) + '\x2d' + '\070'))(OeWW0F1dBPRQ[cMbll0QYhULo > ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 8)], SqiSOtYOqOJH[cMbll0QYhULo > ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + '\x30', 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'C'), '\x64' + '\145' + chr(99) + chr(10281 - 10170) + '\x64' + '\x65')('\x75' + '\164' + chr(0b1100110) + chr(0b101101) + '\x38'), markersize=ehT0Px3KOsy9(chr(999 - 951) + chr(111) + chr(334 - 285) + '\x30', 11300 - 11292), markerfacecolor=qzn1Ctg9WgNh, markeredgecolor=xafqLlk3kkUe(SXOLrMavuUCe(b'G'), chr(100) + chr(0b111010 + 0o53) + '\143' + chr(8813 - 8702) + chr(5291 - 5191) + chr(0b1100000 + 0o5))('\165' + chr(0b1110100) + chr(10076 - 9974) + chr(0b1010 + 0o43) + chr(0b101001 + 0o17)), markeredgewidth=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101110 + 0o4), 8))
xafqLlk3kkUe(eRubm8FH879n, xafqLlk3kkUe(SXOLrMavuUCe(b'\\\r\xb5\xd0'), chr(100) + chr(101) + chr(0b1100011) + chr(111) + '\x64' + '\x65')('\165' + chr(0b1110100) + chr(102) + '\055' + chr(0b111000)))(OeWW0F1dBPRQ[cMbll0QYhULo > ehT0Px3KOsy9('\x30' + '\157' + chr(0b101001 + 0o10), 8)], SqiSOtYOqOJH[cMbll0QYhULo > ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101011 + 0o6), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'C'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(4065 - 3965) + chr(8213 - 8112))(chr(117) + chr(0b1110010 + 0o2) + '\146' + '\055' + '\070'), markersize=ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(49) + chr(48), 8), markerfacecolor=qzn1Ctg9WgNh, markeredgecolor=qzn1Ctg9WgNh, markeredgewidth=ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062', 8))
UyakMW2IMFEj = nsGfrvWgO38h(hzc4MPFHvTgJ, facecolor=pxiSFVqpMRzu, linewidths=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11011 + 0o25), 8), alpha=0.4)
xafqLlk3kkUe(UFCqCPYQEkxy, xafqLlk3kkUe(SXOLrMavuUCe(b'M\x05\xbe\xfb\x02\xeb\x1f\x0f\x04\xcfM\xff\x8f\xf9'), '\144' + '\x65' + '\143' + chr(111) + chr(0b1100 + 0o130) + chr(0b1100101))(chr(0b1110101) + chr(12335 - 12219) + chr(2692 - 2590) + chr(1855 - 1810) + chr(0b110001 + 0o7)))(UyakMW2IMFEj)
UyakMW2IMFEj = nsGfrvWgO38h(hzc4MPFHvTgJ, facecolor=xafqLlk3kkUe(SXOLrMavuUCe(b'B\x0e\xb4\xc1'), chr(0b1100100) + '\145' + chr(0b1 + 0o142) + chr(0b1101111) + chr(100) + chr(8605 - 8504))('\165' + chr(0b10010 + 0o142) + chr(102) + '\x2d' + '\070'), edgecolors=pxiSFVqpMRzu, linewidths=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1 + 0o61), 8))
xafqLlk3kkUe(UFCqCPYQEkxy, xafqLlk3kkUe(SXOLrMavuUCe(b'M\x05\xbe\xfb\x02\xeb\x1f\x0f\x04\xcfM\xff\x8f\xf9'), '\x64' + chr(101) + '\143' + chr(111) + chr(1377 - 1277) + chr(0b1010010 + 0o23))(chr(0b1110101) + '\x74' + chr(0b1100000 + 0o6) + chr(45) + chr(450 - 394)))(UyakMW2IMFEj)
elif xxeISL0NRIdb == xafqLlk3kkUe(SXOLrMavuUCe(b'O\x00\xaa\xd0\x08\xeb\x1d\x10'), chr(0b110001 + 0o63) + chr(0b1100101) + '\143' + '\x6f' + chr(0b1000101 + 0o37) + '\145')(chr(117) + chr(116) + chr(0b1011110 + 0o10) + chr(45) + chr(56)):
for qWimbzUT4BHp in XpMHKyrIkluA:
zLUzGokYBM2Z(qWimbzUT4BHp[xafqLlk3kkUe(SXOLrMavuUCe(b'O\x00\xaa\xd0\x08\xeb\x1d'), chr(9154 - 9054) + chr(0b1000101 + 0o40) + chr(0b1100011) + chr(111) + chr(4878 - 4778) + '\145')('\x75' + '\x74' + '\x66' + chr(45) + '\070')])
|
apache/incubator-mxnet
|
example/ssd/dataset/pycocotools/coco.py
|
COCO.download
|
def download(self, tarDir = None, imgIds = [] ):
'''
Download COCO images from mscoco.org server.
:param tarDir (str): COCO results directory name
imgIds (list): images to be downloaded
:return:
'''
if tarDir is None:
print('Please specify target directory')
return -1
if len(imgIds) == 0:
imgs = self.imgs.values()
else:
imgs = self.loadImgs(imgIds)
N = len(imgs)
if not os.path.exists(tarDir):
os.makedirs(tarDir)
for i, img in enumerate(imgs):
tic = time.time()
fname = os.path.join(tarDir, img['file_name'])
if not os.path.exists(fname):
urlretrieve(img['coco_url'], fname)
print('downloaded {}/{} images (t={:0.1f}s)'.format(i, N, time.time()- tic))
|
python
|
def download(self, tarDir = None, imgIds = [] ):
'''
Download COCO images from mscoco.org server.
:param tarDir (str): COCO results directory name
imgIds (list): images to be downloaded
:return:
'''
if tarDir is None:
print('Please specify target directory')
return -1
if len(imgIds) == 0:
imgs = self.imgs.values()
else:
imgs = self.loadImgs(imgIds)
N = len(imgs)
if not os.path.exists(tarDir):
os.makedirs(tarDir)
for i, img in enumerate(imgs):
tic = time.time()
fname = os.path.join(tarDir, img['file_name'])
if not os.path.exists(fname):
urlretrieve(img['coco_url'], fname)
print('downloaded {}/{} images (t={:0.1f}s)'.format(i, N, time.time()- tic))
|
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] |
Download COCO images from mscoco.org server.
:param tarDir (str): COCO results directory name
imgIds (list): images to be downloaded
:return:
|
[
"Download",
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":"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/dataset/pycocotools/coco.py#L342-L364
|
train
|
Download all images from mscoco. org server.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b1001010 + 0o45) + '\x32' + '\x36' + '\062', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(646 - 595) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001 + 0o146) + '\x32' + '\x37' + '\062', 14217 - 14209), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b1010 + 0o53) + '\062', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b101010 + 0o10) + chr(812 - 760) + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\x32' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(48) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b11001 + 0o36) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + '\x32' + chr(0b110101) + chr(48), 43609 - 43601), ehT0Px3KOsy9('\060' + chr(1894 - 1783) + chr(0b1010 + 0o51) + chr(1372 - 1321) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001000 + 0o47) + '\x32' + '\065' + chr(0b110111), 45778 - 45770), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\x35' + '\x32', 59327 - 59319), ehT0Px3KOsy9(chr(1497 - 1449) + '\157' + chr(0b1010 + 0o47) + chr(1272 - 1222) + chr(1667 - 1618), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2255 - 2200) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\063' + chr(189 - 137), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(52) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(11013 - 10902) + chr(0b110111) + chr(50), 37850 - 37842), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b11100 + 0o25) + chr(648 - 600) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + chr(2536 - 2483), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(1259 - 1210) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(670 - 622) + chr(111) + chr(1834 - 1785) + '\061' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2386 - 2275) + chr(0b110011) + chr(0b110101) + chr(2217 - 2163), 11202 - 11194), ehT0Px3KOsy9(chr(2099 - 2051) + chr(0b1101111) + chr(603 - 554) + '\067' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(1272 - 1217), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\066' + chr(0b101100 + 0o13), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(769 - 720) + chr(50) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110110) + chr(0b101111 + 0o2), 0b1000), ehT0Px3KOsy9('\x30' + chr(9702 - 9591) + chr(1234 - 1183) + '\067' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(1020 - 971) + chr(2439 - 2384) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(360 - 249) + chr(2300 - 2251) + chr(0b110011 + 0o3) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10100 + 0o133) + chr(0b100111 + 0o14) + chr(0b10111 + 0o40), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(431 - 380) + chr(2674 - 2621), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + chr(0b110010) + chr(1513 - 1461) + chr(2016 - 1966), 0o10), ehT0Px3KOsy9(chr(1369 - 1321) + '\157' + chr(51) + chr(1580 - 1531) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1999 - 1951) + '\x6f' + chr(51) + '\x33' + '\x33', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b100100 + 0o23) + chr(55), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(238 - 189) + chr(0b110 + 0o57) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(8119 - 8008) + '\063' + chr(48) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(9341 - 9230) + chr(74 - 23), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(5797 - 5686) + '\065' + chr(0b110000), 21456 - 21448)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c'), chr(100) + chr(101) + '\x63' + '\x6f' + chr(100) + chr(8508 - 8407))('\165' + chr(0b1010010 + 0o42) + '\146' + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jpceyO2GCJAq(oVre8I6UXc3b, fsZ9bnyhP2O5=None, f896tqLTPp7Z=[]):
if fsZ9bnyhP2O5 is None:
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe20\xdf\x8b\xd46\xa2\x8d\xd8\xbe\xcc\x037A?\xa8AH `9o\x8a\x12m\x125\x05\x90\x0c\x0b'), chr(1866 - 1766) + chr(101) + '\x63' + '\157' + chr(0b1100100) + '\145')(chr(0b1100001 + 0o24) + '\x74' + chr(102) + chr(0b10101 + 0o30) + '\070'))
return -ehT0Px3KOsy9(chr(1762 - 1714) + chr(111) + '\061', 0b1000)
if c2A0yzQpDQB3(f896tqLTPp7Z) == ehT0Px3KOsy9(chr(1354 - 1306) + chr(0b1101111) + chr(0b100000 + 0o20), ord("\x08")):
wDUPQjwY6JPV = oVre8I6UXc3b.imgs.SPnCNu54H1db()
else:
wDUPQjwY6JPV = oVre8I6UXc3b.loadImgs(f896tqLTPp7Z)
vn4sOrFiSB4c = c2A0yzQpDQB3(wDUPQjwY6JPV)
if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7$\xd3\x99\xd3 '), chr(6709 - 6609) + '\145' + '\x63' + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + '\x74' + chr(7518 - 7416) + chr(920 - 875) + '\070'))(fsZ9bnyhP2O5):
xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf=\xd1\x8f\xc3:\xf0\x8d'), '\x64' + chr(5656 - 5555) + '\x63' + chr(0b110111 + 0o70) + chr(4365 - 4265) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(45) + chr(56)))(fsZ9bnyhP2O5)
for (WVxHKyX45z_L, s63jeLEbd8fs) in YlkZvXL8qwsX(wDUPQjwY6JPV):
yTo1Kl5FmnsP = ltvhPP4VhXre.time()
t3WbF0Ae42Pu = oqhJDdMJfuwx.path._oWXztVNnqHF(fsZ9bnyhP2O5, s63jeLEbd8fs[xafqLlk3kkUe(SXOLrMavuUCe(b'\xd45\xd6\x8f\xf8=\xe3\x93\xcd'), chr(100) + chr(8753 - 8652) + chr(8035 - 7936) + chr(111) + chr(0b1100100) + '\x65')('\x75' + '\x74' + chr(9350 - 9248) + '\055' + chr(56))])
if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7$\xd3\x99\xd3 '), chr(693 - 593) + '\145' + chr(4100 - 4001) + chr(0b1101111) + chr(7689 - 7589) + chr(101))(chr(11022 - 10905) + chr(6043 - 5927) + '\x66' + chr(0b101101) + chr(1138 - 1082)))(t3WbF0Ae42Pu):
tB3csLAYHeAp(s63jeLEbd8fs[xafqLlk3kkUe(SXOLrMavuUCe(b'\xd13\xd9\x85\xf8&\xf0\x92'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1000101 + 0o52) + chr(9131 - 9031) + chr(221 - 120))(chr(12636 - 12519) + chr(116) + chr(4171 - 4069) + chr(0b101101) + '\070')], t3WbF0Ae42Pu)
zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd63\xcd\x84\xcb<\xe3\x9a\xcd\xbf\x8f\x11,\x17d\xa1\x00S*d**\x9d[7\x03k\n\xc5N\\.;\xdf\xb8\xf2'), chr(5852 - 5752) + chr(6012 - 5911) + '\143' + chr(111) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1010 + 0o134) + chr(0b101101) + chr(0b101001 + 0o17)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4h\xc8\x85\xef2\xd1\xcd\xf8\xab\xca\x00'), '\144' + chr(101) + chr(0b11011 + 0o110) + '\157' + chr(100) + '\145')(chr(117) + '\164' + '\146' + '\x2d' + chr(0b111000)))(WVxHKyX45z_L, vn4sOrFiSB4c, xafqLlk3kkUe(ltvhPP4VhXre, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc65\xd7\x8f'), chr(8442 - 8342) + '\145' + '\143' + chr(0b1101111) + '\144' + chr(101))('\x75' + chr(116) + '\x66' + '\x2d' + chr(0b111000)))() - yTo1Kl5FmnsP))
|
apache/incubator-mxnet
|
example/ssd/dataset/pycocotools/coco.py
|
COCO.loadNumpyAnnotations
|
def loadNumpyAnnotations(self, data):
"""
Convert result data from a numpy array [Nx7] where each row contains {imageID,x1,y1,w,h,score,class}
:param data (numpy.ndarray)
:return: annotations (python nested list)
"""
print('Converting ndarray to lists...')
assert(type(data) == np.ndarray)
print(data.shape)
assert(data.shape[1] == 7)
N = data.shape[0]
ann = []
for i in range(N):
if i % 1000000 == 0:
print('{}/{}'.format(i,N))
ann += [{
'image_id' : int(data[i, 0]),
'bbox' : [ data[i, 1], data[i, 2], data[i, 3], data[i, 4] ],
'score' : data[i, 5],
'category_id': int(data[i, 6]),
}]
return ann
|
python
|
def loadNumpyAnnotations(self, data):
"""
Convert result data from a numpy array [Nx7] where each row contains {imageID,x1,y1,w,h,score,class}
:param data (numpy.ndarray)
:return: annotations (python nested list)
"""
print('Converting ndarray to lists...')
assert(type(data) == np.ndarray)
print(data.shape)
assert(data.shape[1] == 7)
N = data.shape[0]
ann = []
for i in range(N):
if i % 1000000 == 0:
print('{}/{}'.format(i,N))
ann += [{
'image_id' : int(data[i, 0]),
'bbox' : [ data[i, 1], data[i, 2], data[i, 3], data[i, 4] ],
'score' : data[i, 5],
'category_id': int(data[i, 6]),
}]
return ann
|
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] |
Convert result data from a numpy array [Nx7] where each row contains {imageID,x1,y1,w,h,score,class}
:param data (numpy.ndarray)
:return: annotations (python nested list)
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/dataset/pycocotools/coco.py#L366-L387
|
train
|
Convert result data from a numpy array [ Nx7 ] where each row contains imageID x1 y1 w h score class
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(6715 - 6604) + '\063' + chr(0b101001 + 0o12) + chr(0b100110 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + chr(0b110011) + chr(48) + '\066', 22519 - 22511), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\062' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1016 - 968) + chr(0b1100001 + 0o16) + chr(2521 - 2470) + '\x36' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110100) + '\067', 14189 - 14181), ehT0Px3KOsy9('\060' + chr(11548 - 11437) + chr(0b110011) + chr(590 - 537), 7314 - 7306), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + '\x31' + chr(0b101000 + 0o16) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110110 + 0o1) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(51 - 3) + chr(111) + '\062' + chr(2553 - 2498), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2833 - 2722) + chr(51) + chr(0b110100) + chr(50), 33780 - 33772), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2476 - 2425) + chr(1999 - 1944) + chr(852 - 804), 0b1000), ehT0Px3KOsy9(chr(167 - 119) + chr(5090 - 4979) + chr(50) + chr(0b110010) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + chr(51) + chr(0b111 + 0o56) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + chr(0b10110 + 0o34) + chr(0b11 + 0o57) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11101 + 0o25) + chr(187 - 137) + chr(0b100001 + 0o17), 41116 - 41108), ehT0Px3KOsy9(chr(1482 - 1434) + chr(0b1101111) + chr(51) + chr(0b101110 + 0o2) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b100111 + 0o11) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11001 + 0o126) + '\065' + '\x35', 0b1000), ehT0Px3KOsy9(chr(2032 - 1984) + '\157' + '\x36' + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(55) + '\x36', 0b1000), ehT0Px3KOsy9(chr(323 - 275) + chr(12130 - 12019) + chr(1386 - 1336) + chr(0b110011) + chr(0b110011), 62594 - 62586), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10100 + 0o35) + chr(0b110011) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101100 + 0o5) + chr(0b110 + 0o53) + '\x36', 63868 - 63860), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1685 - 1637) + '\x6f' + '\x33' + chr(0b101100 + 0o6) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + chr(310 - 256) + chr(0b1111 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110111) + chr(0b101100 + 0o7), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101010 + 0o11) + chr(0b110010), 49508 - 49500), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101000 + 0o12) + chr(53) + chr(0b11111 + 0o22), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000110 + 0o51) + chr(49) + '\x30' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(48) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11169 - 11058) + '\064' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(4609 - 4498) + chr(1888 - 1839) + '\x34' + chr(850 - 799), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110101) + '\x37', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11 + 0o56) + chr(53) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b0 + 0o61) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b101110 + 0o101) + chr(1967 - 1916) + chr(0b10000 + 0o40) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(2442 - 2389) + '\066', 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(2336 - 2287) + chr(55) + '\067', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(325 - 277) + '\157' + chr(53) + chr(261 - 213), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0'), chr(0b1 + 0o143) + '\145' + chr(0b1010001 + 0o22) + '\157' + '\144' + '\145')(chr(0b1110101) + '\164' + '\146' + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bMPa7ezrvBjR(oVre8I6UXc3b, ULnjp6D6efFH):
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b"\x9d\xa9\xf8\x80Bo\x04Ry\x85\xd8\xf9\x8b\xf3k\xe2\xa4\xfe\rC\x11\xbb1'e\xa7CU4\x87"), chr(0b1100100) + chr(0b1100101) + chr(0b110100 + 0o57) + chr(8827 - 8716) + chr(1231 - 1131) + chr(8600 - 8499))(chr(0b1011110 + 0o27) + chr(0b1110100) + chr(0b1001001 + 0o35) + chr(0b110 + 0o47) + chr(0b111000)))
assert PlSM16l2KDPD(ULnjp6D6efFH, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\xa2\xf7\x84U|\t'), chr(4225 - 4125) + chr(1122 - 1021) + chr(0b1 + 0o142) + chr(111) + '\x64' + '\x65')('\x75' + '\164' + '\x66' + '\x2d' + chr(0b111000))))
zLUzGokYBM2Z(xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\xa7\xe3\xafAQ\x17WC\x92\x9b\xf5'), '\144' + '\x65' + chr(8363 - 8264) + chr(12047 - 11936) + chr(100) + chr(101))(chr(0b1101000 + 0o15) + chr(0b1110100) + chr(102) + '\055' + chr(0b11011 + 0o35))))
assert xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\xa7\xe3\xafAQ\x17WC\x92\x9b\xf5'), chr(0b1010110 + 0o16) + '\x65' + '\143' + '\157' + chr(0b1110 + 0o126) + chr(0b1100101))(chr(5841 - 5724) + '\x74' + '\146' + '\x2d' + chr(0b111000)))[ehT0Px3KOsy9('\060' + '\157' + chr(49), 0b1000)] == ehT0Px3KOsy9(chr(1630 - 1582) + chr(111) + '\067', 0o10)
vn4sOrFiSB4c = ULnjp6D6efFH.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000), 0o10)]
qWimbzUT4BHp = []
for WVxHKyX45z_L in vQr8gNKaIaWE(vn4sOrFiSB4c):
if WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(458 - 407) + '\x36' + chr(0b110100) + chr(0b11111 + 0o22) + chr(2188 - 2139) + chr(0b110000) + '\060', 20812 - 20804) == ehT0Px3KOsy9(chr(2182 - 2134) + chr(111) + chr(1319 - 1271), 8):
zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5\xbb\xb9\x8dZ'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b1001111 + 0o40) + chr(3500 - 3400) + '\x65')(chr(117 - 0) + '\164' + chr(102) + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xf2\xe4\x99o|#\x08G\x92\x9d\xfd'), '\x64' + chr(101) + chr(0b11 + 0o140) + chr(9767 - 9656) + chr(0b1001 + 0o133) + '\145')(chr(0b100010 + 0o123) + '\x74' + chr(1031 - 929) + chr(0b1 + 0o54) + chr(56)))(WVxHKyX45z_L, vn4sOrFiSB4c))
qWimbzUT4BHp += [{xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xab\xf7\x91BB\x19_'), chr(100) + '\145' + chr(0b111 + 0o134) + chr(9639 - 9528) + chr(8904 - 8804) + chr(0b1100101))(chr(9698 - 9581) + chr(0b1110100) + chr(1657 - 1555) + chr(45) + chr(56)): ehT0Px3KOsy9(ULnjp6D6efFH[WVxHKyX45z_L, ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + chr(0b1000 + 0o50), 8)]), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\xa4\xf9\x8e'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1010001 + 0o36) + chr(5401 - 5301) + chr(1513 - 1412))(chr(291 - 174) + chr(12891 - 12775) + chr(0b1100110) + chr(0b101001 + 0o4) + chr(0b100001 + 0o27)): [ULnjp6D6efFH[WVxHKyX45z_L, ehT0Px3KOsy9(chr(569 - 521) + chr(0b1001111 + 0o40) + '\061', 8)], ULnjp6D6efFH[WVxHKyX45z_L, ehT0Px3KOsy9(chr(48) + '\x6f' + chr(561 - 511), 4561 - 4553)], ULnjp6D6efFH[WVxHKyX45z_L, ehT0Px3KOsy9(chr(262 - 214) + chr(0b10 + 0o155) + '\x33', 0b1000)], ULnjp6D6efFH[WVxHKyX45z_L, ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + '\x34', 41570 - 41562)]], xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\xa5\xf9\x84B'), chr(100) + '\145' + chr(0b1100011) + '\x6f' + '\x64' + chr(101))('\x75' + '\x74' + '\146' + '\x2d' + '\x38'): ULnjp6D6efFH[WVxHKyX45z_L, ehT0Px3KOsy9(chr(0b110000) + chr(0b1100100 + 0o13) + chr(1017 - 964), 64918 - 64910)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\xa7\xe2\x93@r\x02BH\x8b\x9c'), chr(5032 - 4932) + '\x65' + chr(3765 - 3666) + '\x6f' + '\144' + chr(0b110001 + 0o64))(chr(0b100111 + 0o116) + chr(0b1110100) + chr(102) + chr(722 - 677) + chr(0b111000)): ehT0Px3KOsy9(ULnjp6D6efFH[WVxHKyX45z_L, ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110110), 0o10)])}]
return qWimbzUT4BHp
|
apache/incubator-mxnet
|
example/ssd/dataset/pycocotools/coco.py
|
COCO.annToRLE
|
def annToRLE(self, ann):
"""
Convert annotation which can be polygons, uncompressed RLE to RLE.
:return: binary mask (numpy 2D array)
"""
t = self.imgs[ann['image_id']]
h, w = t['height'], t['width']
segm = ann['segmentation']
if type(segm) == list:
# polygon -- a single object might consist of multiple parts
# we merge all parts into one mask rle code
# rles = maskUtils.frPyObjects(segm, h, w)
# rle = maskUtils.merge(rles)
raise NotImplementedError("maskUtils disabled!")
elif type(segm['counts']) == list:
# uncompressed RLE
# rle = maskUtils.frPyObjects(segm, h, w)
raise NotImplementedError("maskUtils disabled!")
else:
# rle
rle = ann['segmentation']
return rle
|
python
|
def annToRLE(self, ann):
"""
Convert annotation which can be polygons, uncompressed RLE to RLE.
:return: binary mask (numpy 2D array)
"""
t = self.imgs[ann['image_id']]
h, w = t['height'], t['width']
segm = ann['segmentation']
if type(segm) == list:
# polygon -- a single object might consist of multiple parts
# we merge all parts into one mask rle code
# rles = maskUtils.frPyObjects(segm, h, w)
# rle = maskUtils.merge(rles)
raise NotImplementedError("maskUtils disabled!")
elif type(segm['counts']) == list:
# uncompressed RLE
# rle = maskUtils.frPyObjects(segm, h, w)
raise NotImplementedError("maskUtils disabled!")
else:
# rle
rle = ann['segmentation']
return rle
|
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] |
Convert annotation which can be polygons, uncompressed RLE to RLE.
:return: binary mask (numpy 2D array)
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/ssd/dataset/pycocotools/coco.py#L389-L410
|
train
|
Convert an annotation which can be polygons uncompressed RLE to binary mask.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(890 - 842) + chr(0b1101111) + '\x33' + chr(2148 - 2100) + chr(0b11001 + 0o27), 30176 - 30168), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + '\x32' + chr(2505 - 2451) + chr(48), 49078 - 49070), ehT0Px3KOsy9('\x30' + chr(11872 - 11761) + '\x32' + chr(0b110001) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(7377 - 7266) + chr(50) + chr(0b110100 + 0o1) + chr(2105 - 2052), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b101101 + 0o102) + '\061' + chr(1567 - 1512) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11 + 0o56) + chr(0b110000) + '\x31', 29045 - 29037), ehT0Px3KOsy9(chr(812 - 764) + chr(111) + chr(0b110010) + '\x31' + chr(0b110 + 0o56), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(884 - 834) + chr(0b110001) + '\x30', 10124 - 10116), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(220 - 169) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(51) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110101) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(2196 - 2148) + chr(111) + chr(709 - 658) + '\063' + '\x36', 22752 - 22744), ehT0Px3KOsy9('\060' + '\157' + chr(0b1101 + 0o46) + '\x31' + chr(0b1101 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(1784 - 1736) + '\x6f' + chr(2326 - 2271) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(2087 - 2036) + chr(50), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\067' + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(51) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3059 - 2948) + '\x32' + chr(0b110111) + chr(0b1010 + 0o55), 38181 - 38173), ehT0Px3KOsy9('\060' + chr(6377 - 6266) + chr(667 - 617) + '\064' + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(4326 - 4215) + chr(50) + '\x30' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b110001) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1414 - 1366) + chr(111) + chr(505 - 456), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\x30' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7231 - 7120) + '\x36' + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(496 - 445) + '\061', 0o10), ehT0Px3KOsy9(chr(1271 - 1223) + chr(5643 - 5532) + chr(0b110010) + chr(0b110011) + chr(235 - 181), 49223 - 49215), ehT0Px3KOsy9(chr(1350 - 1302) + chr(0b1101111) + chr(287 - 237) + chr(93 - 41) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\063', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(2866 - 2812) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + '\061' + chr(48) + chr(0b110000 + 0o3), 0b1000), ehT0Px3KOsy9(chr(835 - 787) + chr(0b100010 + 0o115) + chr(0b110011) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\067' + chr(1111 - 1056), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\x32' + '\x32', 0o10), ehT0Px3KOsy9(chr(408 - 360) + '\x6f' + chr(0b101011 + 0o10) + chr(1774 - 1720), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b101011 + 0o6) + chr(0b11000 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b110010) + chr(2482 - 2432), 2075 - 2067), ehT0Px3KOsy9(chr(782 - 734) + chr(1296 - 1185) + chr(0b110011) + '\x34' + chr(51), 38032 - 38024), ehT0Px3KOsy9(chr(0b110000) + chr(6389 - 6278) + chr(49) + chr(591 - 538) + '\x33', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(2272 - 2219) + '\x30', 37934 - 37926)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xee'), chr(0b1100100) + chr(0b1010100 + 0o21) + '\x63' + chr(0b1001100 + 0o43) + '\144' + chr(101))(chr(0b1011110 + 0o27) + chr(116) + chr(102) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zIS75VnG9xcD(oVre8I6UXc3b, qWimbzUT4BHp):
YeT3l7JgTbWR = oVre8I6UXc3b.wDUPQjwY6JPV[qWimbzUT4BHp[xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xdd\xec\xca\x1a\x1e\xe5\xec'), chr(0b11100 + 0o110) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b110011 + 0o61) + chr(101))('\x75' + chr(0b1101010 + 0o12) + chr(4364 - 4262) + chr(0b10011 + 0o32) + chr(0b1111 + 0o51))]]
(sz4HVsFVF8nL, AOfzRywRzEXp) = (YeT3l7JgTbWR[xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\xd5\xe4\xca\x175'), chr(0b1100100) + chr(0b101101 + 0o70) + '\x63' + '\x6f' + '\144' + '\x65')(chr(117) + chr(116) + chr(2970 - 2868) + chr(0b1011 + 0o42) + '\x38')], YeT3l7JgTbWR[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xd9\xe9\xd9\x17'), chr(0b110110 + 0o56) + '\x65' + '\x63' + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1011010 + 0o33) + chr(12269 - 12153) + '\146' + chr(332 - 287) + '\x38')])
U3vCszDjmUHI = qWimbzUT4BHp[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\xd5\xea\xc0\x1a/\xf8\xe9(\xb3\x82\xb0'), chr(0b1100100) + chr(0b110000 + 0o65) + chr(6134 - 6035) + '\x6f' + '\144' + chr(0b1100101))('\x75' + chr(0b1001111 + 0o45) + '\146' + chr(45) + '\x38')]
if PlSM16l2KDPD(U3vCszDjmUHI, YyaZ4tpXu4lf):
raise _zJ24Vce7wp0(xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\xd1\xfe\xc6*5\xe5\xe4/\xfa\x89\xb7\xbe]\xb8gl\x18z'), '\144' + '\x65' + chr(0b1100011) + '\x6f' + chr(0b1010000 + 0o24) + chr(0b1100101))(chr(8690 - 8573) + chr(116) + chr(6313 - 6211) + chr(0b101101) + '\070'))
elif PlSM16l2KDPD(U3vCszDjmUHI[xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\xdf\xf8\xc3\x0b2'), chr(5199 - 5099) + chr(0b1100 + 0o131) + chr(99) + '\x6f' + chr(0b1100100) + chr(4622 - 4521))(chr(117) + chr(0b1110100) + '\146' + '\x2d' + chr(56))], YyaZ4tpXu4lf):
raise _zJ24Vce7wp0(xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\xd1\xfe\xc6*5\xe5\xe4/\xfa\x89\xb7\xbe]\xb8gl\x18z'), chr(8930 - 8830) + chr(9957 - 9856) + chr(8607 - 8508) + '\x6f' + '\x64' + chr(0b1100101))(chr(124 - 7) + chr(116) + chr(102) + chr(801 - 756) + chr(1816 - 1760)))
else:
BYBKa9QW4abO = qWimbzUT4BHp[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\xd5\xea\xc0\x1a/\xf8\xe9(\xb3\x82\xb0'), chr(5709 - 5609) + chr(8370 - 8269) + chr(0b1100011) + chr(0b1000110 + 0o51) + '\144' + chr(4639 - 4538))(chr(117) + chr(1806 - 1690) + '\146' + chr(45) + chr(0b1 + 0o67))]
return BYBKa9QW4abO
|
apache/incubator-mxnet
|
example/cnn_chinese_text_classification/text_cnn.py
|
save_model
|
def save_model():
"""Save cnn model
Returns
----------
callback: A callback function that can be passed as epoch_end_callback to fit
"""
if not os.path.exists("checkpoint"):
os.mkdir("checkpoint")
return mx.callback.do_checkpoint("checkpoint/checkpoint", args.save_period)
|
python
|
def save_model():
"""Save cnn model
Returns
----------
callback: A callback function that can be passed as epoch_end_callback to fit
"""
if not os.path.exists("checkpoint"):
os.mkdir("checkpoint")
return mx.callback.do_checkpoint("checkpoint/checkpoint", args.save_period)
|
[
"def",
"save_model",
"(",
")",
":",
"if",
"not",
"os",
".",
"path",
".",
"exists",
"(",
"\"checkpoint\"",
")",
":",
"os",
".",
"mkdir",
"(",
"\"checkpoint\"",
")",
"return",
"mx",
".",
"callback",
".",
"do_checkpoint",
"(",
"\"checkpoint/checkpoint\"",
",",
"args",
".",
"save_period",
")"
] |
Save cnn model
Returns
----------
callback: A callback function that can be passed as epoch_end_callback to fit
|
[
"Save",
"cnn",
"model",
"Returns",
"----------",
"callback",
":",
"A",
"callback",
"function",
"that",
"can",
"be",
"passed",
"as",
"epoch_end_callback",
"to",
"fit"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/cnn_chinese_text_classification/text_cnn.py#L67-L75
|
train
|
Save cnn model
Returns-----------
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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' + '\066' + chr(51), 8528 - 8520), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1061 - 1010) + chr(0b100110 + 0o20) + '\060', 56284 - 56276), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(50) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6995 - 6884) + chr(0b110010) + '\062', 6727 - 6719), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101111 + 0o4) + '\063' + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101101 + 0o102) + chr(0b110011) + chr(0b11010 + 0o26) + chr(0b10100 + 0o40), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110111 + 0o0) + chr(55), 1636 - 1628), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110001) + chr(0b11100 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\x37' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(206 - 155) + '\x30' + chr(55), 0b1000), ehT0Px3KOsy9(chr(2047 - 1999) + '\x6f' + chr(1248 - 1199) + chr(53) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(561 - 513) + '\x6f' + chr(54) + chr(0b110100), 39224 - 39216), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + chr(51) + chr(0b101100 + 0o6) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101000 + 0o17) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + chr(1268 - 1217) + chr(53) + chr(0b101011 + 0o6), 0o10), ehT0Px3KOsy9(chr(1505 - 1457) + '\x6f' + '\x31' + chr(2116 - 2068) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + chr(49) + chr(2544 - 2489) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011111 + 0o20) + chr(1627 - 1576) + chr(87 - 34), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(49) + chr(51), 21867 - 21859), ehT0Px3KOsy9(chr(1395 - 1347) + '\157' + chr(49) + chr(0b1111 + 0o50) + chr(1147 - 1092), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(2326 - 2276) + chr(0b110000), 54127 - 54119), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\062' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\x31' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100101 + 0o12) + chr(1263 - 1213) + chr(54) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110101) + '\064', 29504 - 29496), ehT0Px3KOsy9('\060' + chr(111) + chr(1832 - 1783) + chr(0b110010), 2589 - 2581), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(744 - 691), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10000 + 0o41) + chr(2057 - 2007) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110100 + 0o2) + chr(1699 - 1648), 43199 - 43191), ehT0Px3KOsy9(chr(48) + chr(111) + chr(592 - 543) + chr(0b110110) + '\x37', 18015 - 18007), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x34' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6735 - 6624) + chr(50) + chr(2035 - 1982) + chr(296 - 241), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6388 - 6277) + chr(50) + '\x30' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(51) + chr(53) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(244 - 196) + '\157' + '\062' + '\x35' + chr(0b100101 + 0o17), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100110 + 0o13) + chr(0b11011 + 0o32) + chr(1773 - 1722), 8), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + '\x31' + '\x32' + '\x32', 38446 - 38438), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(49) + chr(1174 - 1126) + '\x37', 8), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(0b11011 + 0o26) + chr(704 - 649) + chr(0b101110 + 0o11), 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(49) + chr(51) + chr(53), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10 + 0o63) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d'), '\x64' + chr(101) + chr(99) + chr(3051 - 2940) + chr(0b1100 + 0o130) + chr(101))('\x75' + chr(0b101000 + 0o114) + chr(3808 - 3706) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MHNXKGAiqSnr():
if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'V\x88\xfba\xad\xb7'), '\x64' + chr(359 - 258) + chr(99) + chr(111) + '\x64' + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b11 + 0o143) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'P\x98\xf7q\xb2\xb4\x10\xe7\xd4\xb3'), chr(100) + chr(101) + chr(0b1100011) + chr(111) + '\144' + chr(0b11001 + 0o114))(chr(6236 - 6119) + chr(0b1110100) + '\146' + '\055' + '\070')):
xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'^\x9b\xf6{\xab'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(7832 - 7731))(chr(7567 - 7450) + '\x74' + chr(8262 - 8160) + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'P\x98\xf7q\xb2\xb4\x10\xe7\xd4\xb3'), chr(0b1100100) + '\x65' + '\x63' + chr(111) + chr(9776 - 9676) + '\x65')(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + chr(0b111000)))
return xafqLlk3kkUe(CIVheOt0RKQX.callback, xafqLlk3kkUe(SXOLrMavuUCe(b'W\x9f\xcdq\xb1\xa1\x1c\xe5\xca\xa8\x02Z\xa0'), chr(0b1001 + 0o133) + '\x65' + chr(0b101111 + 0o64) + chr(3626 - 3515) + '\144' + chr(1627 - 1526))(chr(117) + chr(0b1110100) + chr(102) + chr(370 - 325) + chr(0b1000 + 0o60)))(xafqLlk3kkUe(SXOLrMavuUCe(b'P\x98\xf7q\xb2\xb4\x10\xe7\xd4\xb3DW\xbc^\x8a,\tr\xe2\x11$'), chr(0b1100100) + chr(0b1101 + 0o130) + '\143' + chr(111) + '\144' + '\x65')('\165' + '\x74' + chr(102) + '\x2d' + '\x38'), xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'@\x91\xe4w\x86\xb4\x1a\xfc\xd3\xa8\x0f'), '\x64' + chr(0b1100101) + chr(0b110101 + 0o56) + chr(0b1101111) + '\x64' + chr(2341 - 2240))(chr(0b1110101) + chr(3458 - 3342) + '\146' + '\x2d' + chr(1279 - 1223))))
|
apache/incubator-mxnet
|
example/cnn_chinese_text_classification/text_cnn.py
|
highway
|
def highway(data):
"""Construct highway net
Parameters
----------
data:
Returns
----------
Highway Networks
"""
_data = data
high_weight = mx.sym.Variable('high_weight')
high_bias = mx.sym.Variable('high_bias')
high_fc = mx.sym.FullyConnected(data=data, weight=high_weight, bias=high_bias, num_hidden=300, name='high_fc')
high_relu = mx.sym.Activation(high_fc, act_type='relu')
high_trans_weight = mx.sym.Variable('high_trans_weight')
high_trans_bias = mx.sym.Variable('high_trans_bias')
high_trans_fc = mx.sym.FullyConnected(data=_data, weight=high_trans_weight, bias=high_trans_bias, num_hidden=300,
name='high_trans_sigmoid')
high_trans_sigmoid = mx.sym.Activation(high_trans_fc, act_type='sigmoid')
return high_relu * high_trans_sigmoid + _data * (1 - high_trans_sigmoid)
|
python
|
def highway(data):
"""Construct highway net
Parameters
----------
data:
Returns
----------
Highway Networks
"""
_data = data
high_weight = mx.sym.Variable('high_weight')
high_bias = mx.sym.Variable('high_bias')
high_fc = mx.sym.FullyConnected(data=data, weight=high_weight, bias=high_bias, num_hidden=300, name='high_fc')
high_relu = mx.sym.Activation(high_fc, act_type='relu')
high_trans_weight = mx.sym.Variable('high_trans_weight')
high_trans_bias = mx.sym.Variable('high_trans_bias')
high_trans_fc = mx.sym.FullyConnected(data=_data, weight=high_trans_weight, bias=high_trans_bias, num_hidden=300,
name='high_trans_sigmoid')
high_trans_sigmoid = mx.sym.Activation(high_trans_fc, act_type='sigmoid')
return high_relu * high_trans_sigmoid + _data * (1 - high_trans_sigmoid)
|
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] |
Construct highway net
Parameters
----------
data:
Returns
----------
Highway Networks
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/cnn_chinese_text_classification/text_cnn.py#L78-L99
|
train
|
Construct highway 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(0b10001 + 0o37) + chr(111) + '\x32' + '\065' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101010 + 0o11) + chr(0b110110) + chr(645 - 597), 12809 - 12801), ehT0Px3KOsy9(chr(0b110000) + chr(6066 - 5955) + '\x37' + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x37' + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110100) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b10011 + 0o37) + chr(50) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1350 - 1301) + '\x32' + chr(0b11010 + 0o26), 55364 - 55356), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(2171 - 2121) + chr(1429 - 1381), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(49), 0b1000), ehT0Px3KOsy9(chr(849 - 801) + chr(0b1000001 + 0o56) + '\x31' + chr(0b11111 + 0o26) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2389 - 2340) + chr(50) + chr(0b1101 + 0o45), 0o10), ehT0Px3KOsy9(chr(1109 - 1061) + chr(0b11001 + 0o126) + chr(68 - 15), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + '\063' + '\062' + chr(49), 0o10), ehT0Px3KOsy9(chr(1870 - 1822) + chr(0b1101111) + chr(0b110001) + '\x37' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(1477 - 1423) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1001010 + 0o45) + chr(0b110011) + '\x30' + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100111 + 0o16) + chr(0b101000 + 0o11), 8), ehT0Px3KOsy9(chr(48) + chr(11970 - 11859) + chr(700 - 650) + '\067' + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(2651 - 2540) + chr(51) + chr(0b110000) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101110 + 0o3) + chr(0b11000 + 0o36) + chr(1867 - 1816), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110101 + 0o1) + chr(1216 - 1162), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11100 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(2027 - 1979) + chr(0b1101111) + '\063' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b101000 + 0o14) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1247 - 1199) + chr(0b1101111) + '\x31' + chr(52) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\066' + chr(0b100110 + 0o13), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(53) + '\x37', 0o10), ehT0Px3KOsy9(chr(1814 - 1766) + chr(111) + chr(1389 - 1338) + chr(52), 52583 - 52575), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + '\x31' + chr(0b110011) + chr(55), 65132 - 65124), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(50) + chr(51), 17454 - 17446), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1100 + 0o47) + '\065', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(54) + chr(1831 - 1782), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + '\x35' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(2411 - 2358) + chr(1855 - 1806), 8), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + '\x33' + chr(0b110001 + 0o3) + chr(0b101000 + 0o12), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011100 + 0o23) + chr(0b1101 + 0o46) + chr(2129 - 2076) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + '\x33' + '\063' + chr(0b110111), 358 - 350), ehT0Px3KOsy9(chr(48) + '\157' + chr(52) + chr(0b1010 + 0o47), 21070 - 21062), ehT0Px3KOsy9(chr(206 - 158) + '\157' + '\061' + chr(0b110101) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + '\066', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(0b111 + 0o56) + chr(1086 - 1038), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x87'), '\x64' + chr(5463 - 5362) + chr(0b1100 + 0o127) + chr(0b10010 + 0o135) + '\144' + chr(0b0 + 0o145))(chr(11994 - 11877) + chr(0b1110100) + chr(883 - 781) + chr(0b11111 + 0o16) + chr(0b1 + 0o67)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def tKmdXYtmWMq5(ULnjp6D6efFH):
nxBQetk9oeQg = ULnjp6D6efFH
mzd2fp1lAi5_ = CIVheOt0RKQX.sym.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x99]R}\xe459N\x07&'), '\x64' + '\145' + chr(0b1100011) + chr(0b100010 + 0o115) + chr(0b111001 + 0o53) + chr(7911 - 7810))(chr(9509 - 9392) + chr(116) + '\146' + '\055' + chr(2772 - 2716)))
u7gwlGzaBWHt = CIVheOt0RKQX.sym.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x99]R}\xf191Z'), chr(0b1100100) + chr(0b10101 + 0o120) + chr(0b100 + 0o137) + '\157' + chr(0b1100100) + chr(0b1010111 + 0o16))(chr(13399 - 13282) + chr(0b1110100) + '\x66' + '\055' + chr(2043 - 1987)))
zHlNNHwmNGuj = CIVheOt0RKQX.sym.FullyConnected(data=ULnjp6D6efFH, weight=mzd2fp1lAi5_, bias=u7gwlGzaBWHt, num_hidden=ehT0Px3KOsy9('\060' + chr(111) + chr(0b101111 + 0o5) + '\x35' + '\064', 0b1000), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x99]R}\xf53'), chr(0b11001 + 0o113) + '\x65' + chr(0b1111 + 0o124) + '\x6f' + chr(0b1000111 + 0o35) + chr(101))(chr(0b1110101) + chr(0b1011110 + 0o26) + '\146' + chr(45) + chr(0b10011 + 0o45)))
G392VZKcQsC3 = CIVheOt0RKQX.sym.Activation(zHlNNHwmNGuj, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\x95VO'), chr(4608 - 4508) + '\145' + chr(3651 - 3552) + '\x6f' + '\x64' + '\x65')(chr(7846 - 7729) + '\x74' + '\x66' + chr(45) + chr(0b100010 + 0o26)))
rUwrBhTiZSWn = CIVheOt0RKQX.sym.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x99]R}\xe7"1G\x1c\rr\xb4\x17V\xa9]'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(8619 - 8508) + chr(100) + '\x65')(chr(0b101011 + 0o112) + '\164' + chr(0b1100110) + '\055' + chr(0b110110 + 0o2)))
dHkzKoDwtAG_ = CIVheOt0RKQX.sym.Variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x99]R}\xe7"1G\x1c\rg\xb8\x1fB'), chr(0b1001011 + 0o31) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(5743 - 5626) + chr(116) + chr(102) + '\055' + chr(0b100111 + 0o21)))
KEGWDzJiHh_e = CIVheOt0RKQX.sym.FullyConnected(data=nxBQetk9oeQg, weight=rUwrBhTiZSWn, bias=dHkzKoDwtAG_, num_hidden=ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x34' + chr(53) + '\x34', 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x99]R}\xe7"1G\x1c\rv\xb8\x19\\\xae@\xd8'), chr(863 - 763) + '\x65' + '\x63' + chr(111) + '\x64' + chr(101))('\x75' + '\164' + chr(110 - 8) + chr(45) + chr(0b11 + 0o65)))
mTnJKhs_Nsz7 = CIVheOt0RKQX.sym.Activation(KEGWDzJiHh_e, act_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\x99]WM\xfa4'), chr(0b1100100) + '\145' + '\143' + '\157' + chr(100) + chr(101))(chr(0b1110101) + chr(116) + chr(102) + '\055' + chr(0b10001 + 0o47)))
return G392VZKcQsC3 * mTnJKhs_Nsz7 + nxBQetk9oeQg * (ehT0Px3KOsy9('\060' + chr(2636 - 2525) + chr(0b110001), 6462 - 6454) - mTnJKhs_Nsz7)
|
apache/incubator-mxnet
|
example/cnn_chinese_text_classification/text_cnn.py
|
train
|
def train(symbol_data, train_iterator, valid_iterator, data_column_names, target_names):
"""Train cnn model
Parameters
----------
symbol_data: symbol
train_iterator: DataIter
Train DataIter
valid_iterator: DataIter
Valid DataIter
data_column_names: list of str
Defaults to ('data') for a typical model used in image classification
target_names: list of str
Defaults to ('softmax_label') for a typical model used in image classification
"""
devs = mx.cpu() # default setting
if args.gpus is not None:
for i in args.gpus.split(','):
mx.gpu(int(i))
devs = mx.gpu()
module = mx.mod.Module(symbol_data, data_names=data_column_names, label_names=target_names, context=devs)
init_params = {
'vocab_embed_weight': {'uniform': 0.1},
'convolution0_weight': {'uniform': 0.1}, 'convolution0_bias': {'costant': 0},
'convolution1_weight': {'uniform': 0.1}, 'convolution1_bias': {'costant': 0},
'convolution2_weight': {'uniform': 0.1}, 'convolution2_bias': {'costant': 0},
'high_weight': {'uniform': 0.1}, 'high_bias': {'costant': 0},
'high_trans_weight': {'uniform': 0.1}, 'high_trans_bias': {'costant': -2},
'cls_weight': {'uniform': 0.1}, 'cls_bias': {'costant': 0},
}
# custom init_params
module.bind(data_shapes=train_iterator.provide_data, label_shapes=train_iterator.provide_label)
module.init_params(CustomInit(init_params))
lr_sch = mx.lr_scheduler.FactorScheduler(step=25000, factor=0.999)
module.init_optimizer(
optimizer='rmsprop', optimizer_params={'learning_rate': 0.0005, 'lr_scheduler': lr_sch})
def norm_stat(d):
return mx.nd.norm(d) / np.sqrt(d.size)
mon = mx.mon.Monitor(25000, norm_stat)
module.fit(train_data=train_iterator,
eval_data=valid_iterator,
eval_metric='acc',
kvstore=args.kv_store,
monitor=mon,
num_epoch=args.num_epochs,
batch_end_callback=mx.callback.Speedometer(args.batch_size, args.disp_batches),
epoch_end_callback=save_model())
|
python
|
def train(symbol_data, train_iterator, valid_iterator, data_column_names, target_names):
"""Train cnn model
Parameters
----------
symbol_data: symbol
train_iterator: DataIter
Train DataIter
valid_iterator: DataIter
Valid DataIter
data_column_names: list of str
Defaults to ('data') for a typical model used in image classification
target_names: list of str
Defaults to ('softmax_label') for a typical model used in image classification
"""
devs = mx.cpu() # default setting
if args.gpus is not None:
for i in args.gpus.split(','):
mx.gpu(int(i))
devs = mx.gpu()
module = mx.mod.Module(symbol_data, data_names=data_column_names, label_names=target_names, context=devs)
init_params = {
'vocab_embed_weight': {'uniform': 0.1},
'convolution0_weight': {'uniform': 0.1}, 'convolution0_bias': {'costant': 0},
'convolution1_weight': {'uniform': 0.1}, 'convolution1_bias': {'costant': 0},
'convolution2_weight': {'uniform': 0.1}, 'convolution2_bias': {'costant': 0},
'high_weight': {'uniform': 0.1}, 'high_bias': {'costant': 0},
'high_trans_weight': {'uniform': 0.1}, 'high_trans_bias': {'costant': -2},
'cls_weight': {'uniform': 0.1}, 'cls_bias': {'costant': 0},
}
# custom init_params
module.bind(data_shapes=train_iterator.provide_data, label_shapes=train_iterator.provide_label)
module.init_params(CustomInit(init_params))
lr_sch = mx.lr_scheduler.FactorScheduler(step=25000, factor=0.999)
module.init_optimizer(
optimizer='rmsprop', optimizer_params={'learning_rate': 0.0005, 'lr_scheduler': lr_sch})
def norm_stat(d):
return mx.nd.norm(d) / np.sqrt(d.size)
mon = mx.mon.Monitor(25000, norm_stat)
module.fit(train_data=train_iterator,
eval_data=valid_iterator,
eval_metric='acc',
kvstore=args.kv_store,
monitor=mon,
num_epoch=args.num_epochs,
batch_end_callback=mx.callback.Speedometer(args.batch_size, args.disp_batches),
epoch_end_callback=save_model())
|
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] |
Train cnn model
Parameters
----------
symbol_data: symbol
train_iterator: DataIter
Train DataIter
valid_iterator: DataIter
Valid DataIter
data_column_names: list of str
Defaults to ('data') for a typical model used in image classification
target_names: list of str
Defaults to ('softmax_label') for a typical model used in image classification
|
[
"Train",
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"Parameters",
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"symbol",
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1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/example/cnn_chinese_text_classification/text_cnn.py#L232-L280
|
train
|
Train cnn model on a set of data.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111 + 0o0) + chr(0b110111) + chr(2184 - 2134), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b101 + 0o152) + '\064' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(518 - 470) + chr(0b1101111) + chr(0b110011) + '\x31' + chr(0b11000 + 0o30), 0b1000), ehT0Px3KOsy9('\060' + chr(2337 - 2226) + chr(1760 - 1711) + '\066' + '\061', 0b1000), ehT0Px3KOsy9(chr(1631 - 1583) + chr(0b11000 + 0o127) + chr(0b110011) + '\067' + chr(51), 0b1000), ehT0Px3KOsy9(chr(1321 - 1273) + chr(11647 - 11536) + chr(0b10111 + 0o33) + chr(0b110000) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110001) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1027 - 979) + chr(111) + chr(0b110001) + chr(0b11111 + 0o23) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1378 - 1327) + '\x37' + '\066', 43594 - 43586), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + '\063' + '\061' + chr(0b100101 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b100111 + 0o110) + '\064' + chr(0b110101), 57608 - 57600), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b10010 + 0o37) + '\063' + chr(54), 57334 - 57326), ehT0Px3KOsy9('\x30' + chr(0b11100 + 0o123) + chr(0b110011) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\x36' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\061' + chr(0b110100), 31493 - 31485), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110 + 0o54) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b100101 + 0o112) + chr(0b101 + 0o55) + chr(51) + chr(1635 - 1583), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10111 + 0o34) + '\067' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(0b100 + 0o55) + '\060' + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(6348 - 6237) + chr(0b110110) + '\062', 59053 - 59045), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b0 + 0o62) + '\064' + chr(0b100101 + 0o14), 42321 - 42313), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + chr(51) + chr(1507 - 1452), 54800 - 54792), ehT0Px3KOsy9(chr(1513 - 1465) + '\x6f' + chr(1503 - 1452) + '\x30' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + '\x32' + chr(0b10001 + 0o37) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + '\x36' + chr(0b110001 + 0o0), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1560 - 1511) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110100) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b10001 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b10011 + 0o134) + chr(52) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + '\x31' + chr(0b10011 + 0o43) + chr(948 - 898), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110000) + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + chr(0b100011 + 0o114) + chr(0b110011) + chr(0b110010) + chr(0b100100 + 0o20), 21714 - 21706), ehT0Px3KOsy9('\060' + '\157' + chr(0b101 + 0o56) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\x33' + chr(1007 - 958), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2235 - 2124) + '\x32' + chr(0b110010 + 0o2) + chr(51), 50273 - 50265), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(0b110001) + '\066' + chr(0b11001 + 0o35), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9049 - 8938) + chr(0b100111 + 0o20) + chr(718 - 663), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(1504 - 1455) + '\063' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(9500 - 9389) + chr(1560 - 1509) + chr(0b101111 + 0o5) + chr(683 - 630), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110101) + chr(0b11111 + 0o21), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x14'), '\144' + '\x65' + '\143' + chr(0b1101111) + chr(100) + '\x65')(chr(4951 - 4834) + chr(0b1110100) + '\146' + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def e80gRioCjdat(j2HOgWTHpQ9s, S0uw8Yjfqsck, ThYx2zq5ziwT, l96bjDOquQS6, xEjzlji2f7bf):
Iwiep6s4c3AF = CIVheOt0RKQX.cpu()
if xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b']R\xbd\x02'), chr(100) + '\145' + chr(0b1100011) + chr(9684 - 9573) + chr(0b1100100) + chr(0b1100000 + 0o5))('\165' + chr(13327 - 13211) + chr(0b100010 + 0o104) + '\x2d' + chr(0b11100 + 0o34))) is not None:
for WVxHKyX45z_L in xafqLlk3kkUe(kJDRfRhcZHjS.gpus, xafqLlk3kkUe(SXOLrMavuUCe(b'IR\xa4\x18\x8f'), chr(100) + '\145' + '\143' + chr(111) + chr(100) + chr(4441 - 4340))(chr(117) + '\x74' + chr(102) + chr(0b1110 + 0o37) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x16'), chr(6336 - 6236) + chr(1865 - 1764) + '\143' + chr(111) + '\x64' + '\145')(chr(0b1110101) + chr(0b1000010 + 0o62) + chr(102) + '\x2d' + chr(56))):
xafqLlk3kkUe(CIVheOt0RKQX, xafqLlk3kkUe(SXOLrMavuUCe(b']R\xbd'), chr(100) + '\x65' + chr(0b111100 + 0o47) + chr(10961 - 10850) + chr(0b11111 + 0o105) + '\145')(chr(0b1110101) + '\x74' + '\x66' + '\055' + chr(0b101011 + 0o15)))(ehT0Px3KOsy9(WVxHKyX45z_L))
Iwiep6s4c3AF = CIVheOt0RKQX.gpu()
RqocVGOryNPv = CIVheOt0RKQX.mod.Module(j2HOgWTHpQ9s, data_names=l96bjDOquQS6, label_names=xEjzlji2f7bf, context=Iwiep6s4c3AF)
oZNFuAsgrYEN = {xafqLlk3kkUe(SXOLrMavuUCe(b'LM\xab\x10\x99\xdd/;\x9c\xafA\x01kR\xa5u\xf4\x8c'), chr(0b10011 + 0o121) + chr(101) + chr(99) + chr(0b1101111) + chr(100) + '\145')('\x75' + chr(116) + '\146' + chr(1639 - 1594) + chr(2316 - 2260)): {xafqLlk3kkUe(SXOLrMavuUCe(b"OL\xa1\x17\x94\xf0'"), chr(0b1010101 + 0o17) + chr(0b1100101) + chr(99) + '\x6f' + '\144' + chr(0b1100101))('\165' + chr(9532 - 9416) + chr(0b1100110) + chr(0b101101) + '\x38'): 0.1}, xafqLlk3kkUe(SXOLrMavuUCe(b'YM\xa6\x07\x94\xee?"\x97\xa5KnC@\xa9{\xfb\x905'), chr(0b1100100) + '\145' + '\x63' + '\x6f' + chr(9035 - 8935) + chr(0b1100101))(chr(5418 - 5301) + '\x74' + chr(8434 - 8332) + '\x2d' + chr(2493 - 2437)): {xafqLlk3kkUe(SXOLrMavuUCe(b"OL\xa1\x17\x94\xf0'"), chr(0b1100001 + 0o3) + chr(101) + '\143' + '\157' + chr(5731 - 5631) + chr(4108 - 4007))(chr(117) + chr(0b1110100) + '\146' + '\055' + chr(1113 - 1057)): 0.1}, xafqLlk3kkUe(SXOLrMavuUCe(b'YM\xa6\x07\x94\xee?"\x97\xa5KnCU\xa5s\xef'), chr(8396 - 8296) + chr(0b1100011 + 0o2) + '\143' + '\157' + chr(4970 - 4870) + chr(3334 - 3233))(chr(5405 - 5288) + chr(0b1110100) + '\146' + '\055' + chr(0b100111 + 0o21)): {xafqLlk3kkUe(SXOLrMavuUCe(b'YM\xbb\x05\x9a\xec>'), chr(100) + '\145' + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + chr(0b1100110) + chr(676 - 631) + chr(0b1100 + 0o54)): ehT0Px3KOsy9(chr(48) + '\x6f' + '\x30', 0b1000)}, xafqLlk3kkUe(SXOLrMavuUCe(b'YM\xa6\x07\x94\xee?"\x97\xa5KoC@\xa9{\xfb\x905'), chr(8559 - 8459) + '\145' + '\143' + '\x6f' + chr(0b1011001 + 0o13) + chr(101))('\165' + '\164' + chr(0b101101 + 0o71) + chr(0b101101) + '\x38'): {xafqLlk3kkUe(SXOLrMavuUCe(b"OL\xa1\x17\x94\xf0'"), chr(9886 - 9786) + chr(8293 - 8192) + chr(0b1100011) + chr(536 - 425) + chr(3964 - 3864) + '\145')(chr(12918 - 12801) + '\x74' + chr(0b1100110) + chr(45) + '\070'): 0.1}, xafqLlk3kkUe(SXOLrMavuUCe(b'YM\xa6\x07\x94\xee?"\x97\xa5KoCU\xa5s\xef'), chr(4218 - 4118) + chr(6387 - 6286) + chr(0b1100011) + chr(111) + '\144' + '\145')('\x75' + '\x74' + chr(8428 - 8326) + chr(0b101 + 0o50) + '\x38'): {xafqLlk3kkUe(SXOLrMavuUCe(b'YM\xbb\x05\x9a\xec>'), chr(1215 - 1115) + chr(101) + '\143' + chr(1699 - 1588) + chr(7138 - 7038) + chr(1367 - 1266))(chr(0b1110101) + '\x74' + chr(0b1100011 + 0o3) + '\055' + '\x38'): ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + chr(0b110000), 8)}, xafqLlk3kkUe(SXOLrMavuUCe(b'YM\xa6\x07\x94\xee?"\x97\xa5KlC@\xa9{\xfb\x905'), chr(0b1100100) + chr(0b10100 + 0o121) + '\143' + chr(2169 - 2058) + chr(0b1100100) + chr(0b11111 + 0o106))(chr(1889 - 1772) + '\x74' + '\146' + chr(0b1011 + 0o42) + chr(56)): {xafqLlk3kkUe(SXOLrMavuUCe(b"OL\xa1\x17\x94\xf0'"), chr(0b111000 + 0o54) + chr(101) + chr(0b1011011 + 0o10) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + chr(973 - 917)): 0.1}, xafqLlk3kkUe(SXOLrMavuUCe(b'YM\xa6\x07\x94\xee?"\x97\xa5KlCU\xa5s\xef'), chr(0b1100100) + '\145' + '\143' + '\157' + chr(0b1100100) + chr(101))('\x75' + chr(116) + chr(0b1111 + 0o127) + '\055' + chr(0b111000)): {xafqLlk3kkUe(SXOLrMavuUCe(b'YM\xbb\x05\x9a\xec>'), chr(5897 - 5797) + chr(101) + chr(0b10100 + 0o117) + chr(111) + chr(0b110111 + 0o55) + '\x65')(chr(3407 - 3290) + '\164' + chr(0b1100110) + '\055' + '\x38'): ehT0Px3KOsy9('\060' + chr(111) + '\060', 8)}, xafqLlk3kkUe(SXOLrMavuUCe(b'RK\xaf\x19\xa4\xf5/?\x99\xa2Q'), '\144' + chr(5710 - 5609) + '\x63' + chr(8527 - 8416) + chr(100) + '\145')(chr(117) + '\164' + chr(5039 - 4937) + chr(45) + chr(56)): {xafqLlk3kkUe(SXOLrMavuUCe(b"OL\xa1\x17\x94\xf0'"), chr(2334 - 2234) + chr(0b1100101) + '\x63' + '\x6f' + chr(1879 - 1779) + '\145')(chr(0b1110101) + chr(0b1011101 + 0o27) + chr(0b1100110) + chr(0b10000 + 0o35) + chr(0b101011 + 0o15)): 0.1}, xafqLlk3kkUe(SXOLrMavuUCe(b'RK\xaf\x19\xa4\xe0#7\x8d'), chr(0b1100100) + '\x65' + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))('\x75' + '\164' + chr(102) + chr(0b11110 + 0o17) + chr(0b1110 + 0o52)): {xafqLlk3kkUe(SXOLrMavuUCe(b'YM\xbb\x05\x9a\xec>'), chr(0b1100100) + '\145' + chr(4264 - 4165) + '\x6f' + '\144' + '\x65')(chr(0b1110101) + '\x74' + chr(102) + chr(0b101101) + chr(56)): ehT0Px3KOsy9('\060' + '\x6f' + chr(48), 8)}, xafqLlk3kkUe(SXOLrMavuUCe(b'RK\xaf\x19\xa4\xf687\x90\xb9z)y^\xabz\xe8'), chr(0b1100100) + '\145' + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(11258 - 11141) + chr(0b1110100) + chr(0b1000110 + 0o40) + '\x2d' + chr(0b100100 + 0o24)): {xafqLlk3kkUe(SXOLrMavuUCe(b"OL\xa1\x17\x94\xf0'"), '\144' + chr(0b11011 + 0o112) + chr(4348 - 4249) + chr(111) + '\144' + chr(101))('\x75' + chr(4689 - 4573) + chr(102) + chr(0b101101) + chr(2222 - 2166)): 0.1}, xafqLlk3kkUe(SXOLrMavuUCe(b'RK\xaf\x19\xa4\xf687\x90\xb9z<uV\xbf'), chr(7281 - 7181) + chr(0b1100000 + 0o5) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(101))(chr(0b1110101) + chr(7669 - 7553) + '\x66' + '\055' + '\x38'): {xafqLlk3kkUe(SXOLrMavuUCe(b'YM\xbb\x05\x9a\xec>'), chr(6274 - 6174) + chr(101) + chr(0b10001 + 0o122) + '\157' + '\x64' + '\145')(chr(3657 - 3540) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(56)): -ehT0Px3KOsy9(chr(48) + chr(511 - 400) + chr(0b101011 + 0o7), 0o10)}, xafqLlk3kkUe(SXOLrMavuUCe(b'YN\xbb.\x8c\xe7#1\x96\xbe'), '\144' + chr(0b1100101) + chr(99) + chr(0b1101111) + '\x64' + chr(0b11101 + 0o110))(chr(117) + '\164' + chr(102) + chr(45) + chr(0b10001 + 0o47)): {xafqLlk3kkUe(SXOLrMavuUCe(b"OL\xa1\x17\x94\xf0'"), '\x64' + '\x65' + '\143' + chr(111) + '\x64' + '\145')('\x75' + chr(116) + chr(0b110110 + 0o60) + '\055' + '\070'): 0.1}, xafqLlk3kkUe(SXOLrMavuUCe(b'YN\xbb.\x99\xeb+%'), chr(0b10111 + 0o115) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(100) + '\x65')(chr(117) + '\x74' + '\x66' + chr(524 - 479) + chr(0b100 + 0o64)): {xafqLlk3kkUe(SXOLrMavuUCe(b'YM\xbb\x05\x9a\xec>'), '\x64' + '\145' + chr(0b1100011) + '\157' + '\x64' + chr(0b1100101))(chr(0b111001 + 0o74) + chr(116) + chr(0b1100011 + 0o3) + '\x2d' + chr(0b100101 + 0o23)): ehT0Px3KOsy9('\060' + chr(111) + chr(130 - 82), 8)}}
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'XK\xa6\x15'), chr(0b111110 + 0o46) + '\x65' + '\x63' + chr(0b10111 + 0o130) + chr(0b1010001 + 0o23) + chr(2481 - 2380))(chr(2190 - 2073) + chr(11625 - 11509) + chr(0b1010100 + 0o22) + '\055' + chr(56)))(data_shapes=xafqLlk3kkUe(S0uw8Yjfqsck, xafqLlk3kkUe(SXOLrMavuUCe(b'JP\xa7\x07\x92\xe6/\t\x9a\xabQ?'), chr(0b1001110 + 0o26) + chr(0b1100101) + chr(9395 - 9296) + '\157' + chr(100) + '\x65')(chr(117) + chr(116) + '\146' + chr(1225 - 1180) + '\x38')), label_shapes=xafqLlk3kkUe(S0uw8Yjfqsck, xafqLlk3kkUe(SXOLrMavuUCe(b'JP\xa7\x07\x92\xe6/\t\x92\xabG;p'), chr(3192 - 3092) + chr(0b1011110 + 0o7) + chr(0b1011010 + 0o11) + chr(0b110111 + 0o70) + '\x64' + chr(101))(chr(0b110111 + 0o76) + chr(0b1110100) + '\x66' + chr(1655 - 1610) + '\x38')))
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'SL\xa1\x05\xa4\xf2+$\x9f\xa7V'), chr(100) + chr(5739 - 5638) + chr(0b1010000 + 0o23) + chr(111) + '\144' + chr(101))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(2994 - 2938)))(d0ucO8561iE3(oZNFuAsgrYEN))
cdO2cJG7g3Hu = CIVheOt0RKQX.lr_scheduler.FactorScheduler(step=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(54) + '\060' + chr(0b11111 + 0o27) + chr(53) + chr(2202 - 2154), 43659 - 43651), factor=0.999)
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'SL\xa1\x05\xa4\xed:"\x97\xa7L$yE'), chr(0b1100100) + chr(101) + '\x63' + chr(0b1100011 + 0o14) + '\144' + chr(0b1100101))('\x75' + '\x74' + '\x66' + chr(1078 - 1033) + '\070'))(optimizer=xafqLlk3kkUe(SXOLrMavuUCe(b'HO\xbb\x01\x89\xed:'), '\x64' + chr(101) + chr(3524 - 3425) + chr(111) + chr(0b1100100) + '\145')('\x75' + chr(2315 - 2199) + chr(0b1100110) + '\x2d' + chr(56)), optimizer_params={xafqLlk3kkUe(SXOLrMavuUCe(b'VG\xa9\x03\x95\xeb$1\xa1\xb8D*y'), chr(0b1010 + 0o132) + chr(0b11101 + 0o110) + chr(0b1 + 0o142) + chr(3477 - 3366) + chr(100) + '\x65')('\165' + '\164' + chr(0b100010 + 0o104) + chr(0b10 + 0o53) + chr(969 - 913)): 0.0005, xafqLlk3kkUe(SXOLrMavuUCe(b'VP\x97\x02\x98\xea/2\x8b\xa6@,'), chr(0b1100100) + chr(3433 - 3332) + chr(99) + chr(2678 - 2567) + chr(6349 - 6249) + chr(0b1100101))(chr(0b101010 + 0o113) + chr(0b1110011 + 0o1) + '\146' + '\x2d' + chr(2862 - 2806)): cdO2cJG7g3Hu})
def BVEPbQ69i40O(pd3lxn9vqWxp):
return xafqLlk3kkUe(CIVheOt0RKQX.nd, xafqLlk3kkUe(SXOLrMavuUCe(b'_v\x87\x06\xb4\xda85\x95\x9bK-'), chr(0b1011000 + 0o14) + chr(0b1010101 + 0o20) + chr(99) + chr(0b1011 + 0o144) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b101111 + 0o67) + '\x2d' + chr(56)))(pd3lxn9vqWxp) / xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'IS\xba\x05'), chr(0b1100100) + '\145' + '\x63' + chr(0b111110 + 0o61) + '\144' + chr(101))('\165' + '\164' + chr(3365 - 3263) + '\x2d' + chr(1196 - 1140)))(xafqLlk3kkUe(pd3lxn9vqWxp, xafqLlk3kkUe(SXOLrMavuUCe(b'tn\xab\x12\xc8\xc0\t\x1c\x90\x9bN?'), '\144' + chr(0b110011 + 0o62) + chr(0b110 + 0o135) + chr(111) + chr(7952 - 7852) + chr(4983 - 4882))('\x75' + chr(116) + '\x66' + chr(45) + '\070')))
DBjXwuJhP8U3 = CIVheOt0RKQX.mon.Monitor(ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + '\066' + chr(2058 - 2010) + '\066' + '\x35' + '\060', 8), BVEPbQ69i40O)
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'\\K\xbc'), '\144' + '\x65' + '\143' + '\157' + '\x64' + chr(101))(chr(11293 - 11176) + chr(0b1001010 + 0o52) + '\146' + chr(45) + '\070'))(train_data=S0uw8Yjfqsck, eval_data=ThYx2zq5ziwT, eval_metric=xafqLlk3kkUe(SXOLrMavuUCe(b'[A\xab'), '\144' + '\x65' + '\x63' + chr(12027 - 11916) + '\x64' + '\x65')(chr(0b1110101) + chr(575 - 459) + chr(2142 - 2040) + chr(366 - 321) + '\070'), kvstore=xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'QT\x97\x02\x8f\xed83'), chr(0b101111 + 0o65) + chr(101) + '\143' + '\x6f' + '\x64' + chr(0b1010000 + 0o25))('\165' + '\164' + chr(0b110011 + 0o63) + '\055' + chr(2207 - 2151))), monitor=DBjXwuJhP8U3, num_epoch=xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'TW\xa5.\x9e\xf2%5\x96\xb9'), chr(0b1100100) + chr(101) + '\143' + chr(111) + '\x64' + '\x65')(chr(0b1110101) + chr(0b101001 + 0o113) + chr(0b100000 + 0o106) + chr(0b101101) + chr(0b101001 + 0o17))), batch_end_callback=xafqLlk3kkUe(CIVheOt0RKQX.callback, xafqLlk3kkUe(SXOLrMavuUCe(b"iR\xad\x14\x9f\xed'3\x8a\xafW"), '\144' + '\145' + chr(7764 - 7665) + chr(4613 - 4502) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(9406 - 9304) + chr(775 - 730) + chr(56)))(xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'SZ\xf1\x15\xa1\xfb/\x17\x93\x9f]\x07'), chr(100) + chr(0b11100 + 0o111) + chr(0b110 + 0o135) + chr(8268 - 8157) + chr(0b100001 + 0o103) + chr(0b1001110 + 0o27))(chr(117) + chr(12593 - 12477) + '\x66' + chr(1876 - 1831) + chr(1906 - 1850))), xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'^K\xbb\x01\xa4\xe0+"\x9d\xa2@-'), chr(100) + chr(101) + '\143' + chr(0b1101111) + chr(100) + '\145')('\x75' + chr(0b1110100) + '\146' + chr(90 - 45) + chr(0b111000)))), epoch_end_callback=MHNXKGAiqSnr())
|
apache/incubator-mxnet
|
python/mxnet/gluon/data/dataloader.py
|
default_batchify_fn
|
def default_batchify_fn(data):
"""Collate data into batch."""
if isinstance(data[0], nd.NDArray):
return nd.stack(*data)
elif isinstance(data[0], tuple):
data = zip(*data)
return [default_batchify_fn(i) for i in data]
else:
data = np.asarray(data)
return nd.array(data, dtype=data.dtype)
|
python
|
def default_batchify_fn(data):
"""Collate data into batch."""
if isinstance(data[0], nd.NDArray):
return nd.stack(*data)
elif isinstance(data[0], tuple):
data = zip(*data)
return [default_batchify_fn(i) for i in data]
else:
data = np.asarray(data)
return nd.array(data, dtype=data.dtype)
|
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Collate data into batch.
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/data/dataloader.py#L127-L136
|
train
|
Collate data into batch.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(12091 - 11980) + chr(0b101 + 0o56) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10110 + 0o34) + chr(0b100101 + 0o22) + chr(48), 28540 - 28532), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(51) + chr(1963 - 1915), 0b1000), ehT0Px3KOsy9('\060' + chr(6788 - 6677) + chr(0b110011) + '\066' + chr(0b100010 + 0o16), 34846 - 34838), ehT0Px3KOsy9(chr(48) + chr(0b111111 + 0o60) + chr(0b110010) + '\x30', 0o10), ehT0Px3KOsy9(chr(2036 - 1988) + chr(2364 - 2253) + chr(0b110011) + chr(2211 - 2159) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + '\067', 46041 - 46033), ehT0Px3KOsy9(chr(1395 - 1347) + chr(111) + chr(0b110001) + chr(0b110001) + '\x32', 0b1000), ehT0Px3KOsy9(chr(2161 - 2113) + chr(111) + chr(0b110011) + chr(0b110100) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(295 - 247) + '\157' + chr(187 - 138) + '\x35' + chr(49), 53012 - 53004), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b1111 + 0o41) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1976 - 1926) + chr(53) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(941 - 893) + chr(0b100000 + 0o117) + '\062' + chr(395 - 341) + chr(331 - 280), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(49) + chr(388 - 333) + chr(0b110001), 6560 - 6552), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\063' + chr(0b110100) + chr(2601 - 2546), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(49) + chr(0b10101 + 0o36) + chr(0b11101 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(901 - 853) + '\x6f' + chr(0b110011) + chr(48), 39249 - 39241), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1283 - 1233) + chr(0b100000 + 0o23), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001101 + 0o42) + chr(0b11110 + 0o24) + '\x35' + chr(0b10010 + 0o42), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\x34' + '\062', 21163 - 21155), ehT0Px3KOsy9(chr(1907 - 1859) + chr(4188 - 4077) + chr(1825 - 1774) + chr(49) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b111 + 0o150) + chr(0b110001) + '\062' + '\067', 5523 - 5515), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + chr(50) + '\x35' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(51) + chr(1964 - 1914) + chr(0b11001 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(1981 - 1933) + chr(8714 - 8603) + chr(69 - 19) + chr(0b110010) + chr(0b10 + 0o61), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1010 + 0o51) + '\x36' + '\x36', 0o10), ehT0Px3KOsy9(chr(1052 - 1004) + chr(0b1101111) + chr(0b110010) + chr(162 - 112) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\x35' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101010 + 0o5) + '\x33' + chr(0b110011) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1004 - 955) + '\060' + chr(146 - 93), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5951 - 5840) + chr(2367 - 2317) + chr(0b110111), 27299 - 27291), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b110 + 0o54) + chr(0b10011 + 0o40) + chr(2639 - 2585), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1489 - 1440) + chr(1935 - 1883) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(9563 - 9452) + '\x32' + chr(0b110110) + chr(0b101111 + 0o10), 49442 - 49434), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b110111) + chr(0b101101 + 0o3), 49579 - 49571), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + '\063' + chr(55), 0o10), ehT0Px3KOsy9(chr(2269 - 2221) + chr(2019 - 1908) + '\062' + chr(49) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1044 - 996) + chr(111) + chr(0b1110 + 0o45) + '\064' + '\x36', 33291 - 33283), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\066' + '\066', 4895 - 4887)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + chr(0b100 + 0o54), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'5'), chr(0b1001111 + 0o25) + chr(0b1100101) + '\143' + chr(5015 - 4904) + chr(8241 - 8141) + '\x65')('\x75' + chr(0b1110100) + chr(102) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xJtwIlOSLKO4(ULnjp6D6efFH):
if PlSM16l2KDPD(ULnjp6D6efFH[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(48), ord("\x08"))], xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b'U\xfc\x99\x82b\x81~'), '\144' + chr(7371 - 7270) + '\x63' + chr(0b1101111) + '\x64' + chr(101))('\x75' + '\x74' + chr(0b1010111 + 0o17) + chr(0b101101) + chr(0b111000)))):
return xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b'h\xcc\xb9\x93{'), '\x64' + '\145' + chr(0b1100011) + chr(111) + chr(9089 - 8989) + '\145')(chr(117) + chr(0b10 + 0o162) + chr(102) + chr(0b11100 + 0o21) + chr(56)))(*ULnjp6D6efFH)
elif PlSM16l2KDPD(ULnjp6D6efFH[ehT0Px3KOsy9(chr(48) + chr(0b100000 + 0o117) + chr(48), 8)], KNyTy8rYcwji):
ULnjp6D6efFH = pZ0NK2y6HRbn(*ULnjp6D6efFH)
return [xJtwIlOSLKO4(WVxHKyX45z_L) for WVxHKyX45z_L in ULnjp6D6efFH]
else:
ULnjp6D6efFH = WqUC3KWvYVup.asarray(ULnjp6D6efFH)
return xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b"Y\x88\xbd\xa0T\x88w;\x9d'v\xc2"), '\144' + chr(0b1000 + 0o135) + chr(0b100010 + 0o101) + chr(0b1101111) + chr(0b10110 + 0o116) + '\145')(chr(0b1110101) + '\x74' + chr(9126 - 9024) + chr(1413 - 1368) + chr(0b11011 + 0o35)))(ULnjp6D6efFH, dtype=xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'q\xeb\x8e\xc9Y\xabi/\x88!t\xe7'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1100000 + 0o4) + chr(292 - 191))('\165' + chr(4658 - 4542) + '\x66' + chr(939 - 894) + '\x38')))
|
apache/incubator-mxnet
|
python/mxnet/gluon/data/dataloader.py
|
default_mp_batchify_fn
|
def default_mp_batchify_fn(data):
"""Collate data into batch. Use shared memory for stacking."""
if isinstance(data[0], nd.NDArray):
out = nd.empty((len(data),) + data[0].shape, dtype=data[0].dtype,
ctx=context.Context('cpu_shared', 0))
return nd.stack(*data, out=out)
elif isinstance(data[0], tuple):
data = zip(*data)
return [default_mp_batchify_fn(i) for i in data]
else:
data = np.asarray(data)
return nd.array(data, dtype=data.dtype,
ctx=context.Context('cpu_shared', 0))
|
python
|
def default_mp_batchify_fn(data):
"""Collate data into batch. Use shared memory for stacking."""
if isinstance(data[0], nd.NDArray):
out = nd.empty((len(data),) + data[0].shape, dtype=data[0].dtype,
ctx=context.Context('cpu_shared', 0))
return nd.stack(*data, out=out)
elif isinstance(data[0], tuple):
data = zip(*data)
return [default_mp_batchify_fn(i) for i in data]
else:
data = np.asarray(data)
return nd.array(data, dtype=data.dtype,
ctx=context.Context('cpu_shared', 0))
|
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Collate data into batch. Use shared memory for stacking.
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/data/dataloader.py#L139-L151
|
train
|
Collate data into batch. Use shared memory for stacking.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(310 - 262) + '\157' + chr(0b110000 + 0o3) + '\x30' + chr(0b110001 + 0o6), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12127 - 12016) + chr(49) + chr(599 - 551) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(2182 - 2134) + chr(0b1101111) + chr(0b1001 + 0o51) + '\x31' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1716 - 1668) + chr(111) + chr(51) + chr(0b110011 + 0o2) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110110 + 0o71) + chr(2204 - 2154) + chr(0b110110) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(50) + chr(1338 - 1290), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3573 - 3462) + '\x34' + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(5209 - 5098) + chr(1359 - 1304) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x34' + '\x31', 25354 - 25346), ehT0Px3KOsy9(chr(78 - 30) + chr(0b1101111) + chr(0b110001) + '\061' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(1660 - 1612) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + '\064' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8108 - 7997) + '\061' + chr(0b10110 + 0o40) + '\064', 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(991 - 880) + '\x32' + '\061' + '\x34', 42098 - 42090), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(0b110010) + '\063' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b10101 + 0o36) + chr(0b110001), 21244 - 21236), ehT0Px3KOsy9(chr(138 - 90) + chr(0b1101111) + '\063' + chr(0b1001 + 0o56) + '\065', 14338 - 14330), ehT0Px3KOsy9(chr(48) + chr(10882 - 10771) + '\062' + '\064' + chr(1594 - 1545), 16236 - 16228), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(0b1011 + 0o50) + '\060' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(4553 - 4442) + '\x32' + chr(0b110110) + chr(0b110000), 8), ehT0Px3KOsy9(chr(1190 - 1142) + chr(0b1101111) + chr(0b110001) + chr(0b110001 + 0o1) + chr(54), 19836 - 19828), ehT0Px3KOsy9(chr(2082 - 2034) + '\157' + chr(0b10001 + 0o41) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(51) + '\061' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(230 - 119) + '\067' + chr(0b101111 + 0o4), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\064' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x31' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + '\061' + chr(0b110001 + 0o0) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(52) + chr(100 - 51), 8), ehT0Px3KOsy9(chr(1491 - 1443) + chr(10655 - 10544) + chr(0b100111 + 0o12) + '\064' + chr(53), 52661 - 52653), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(0b110011) + chr(54) + chr(2061 - 2009), 0o10), ehT0Px3KOsy9(chr(934 - 886) + '\x6f' + '\067' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110100) + '\x34', 55769 - 55761), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101011 + 0o10) + chr(0b110101) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3122 - 3011) + chr(0b110111) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\x33' + chr(815 - 761), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2003 - 1954) + '\067' + '\x31', 12711 - 12703), ehT0Px3KOsy9(chr(2230 - 2182) + chr(527 - 416) + chr(2249 - 2200) + chr(0b110110) + chr(0b100011 + 0o17), 13853 - 13845), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b1000 + 0o55) + chr(600 - 552), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b11100 + 0o27) + chr(551 - 499), 0o10), ehT0Px3KOsy9(chr(1576 - 1528) + chr(0b10110 + 0o131) + chr(0b110010) + chr(51) + chr(2371 - 2322), 11486 - 11478)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9'), '\x64' + '\x65' + chr(6833 - 6734) + chr(111) + chr(1893 - 1793) + '\145')(chr(0b1101011 + 0o12) + chr(0b1110100) + chr(0b11100 + 0o112) + chr(0b1010 + 0o43) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def qIPUMFsvp81Y(ULnjp6D6efFH):
if PlSM16l2KDPD(ULnjp6D6efFH[ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 0b1000)], xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\x05\xce\x9a\xc21Z'), chr(0b1100100) + chr(6452 - 6351) + '\x63' + '\157' + chr(0b1011000 + 0o14) + chr(4940 - 4839))(chr(0b11111 + 0o126) + chr(0b1000001 + 0o63) + '\146' + chr(0b101101) + '\070'))):
UkrMp_I0RDmo = Vy_CFRcuYrTj.empty((c2A0yzQpDQB3(ULnjp6D6efFH),) + ULnjp6D6efFH[ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(0b110 + 0o52), 8)].nauYfLglTpcb, dtype=ULnjp6D6efFH[ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(0b110000), 8)].jSV9IKnemH7K, ctx=vUUG4_3aIqQC.Context(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa41\xfa\xb7\xc38BMD*'), chr(100) + chr(0b10101 + 0o120) + chr(0b110000 + 0o63) + '\x6f' + chr(7057 - 6957) + chr(6894 - 6793))(chr(0b1100101 + 0o20) + chr(0b1110100) + '\146' + chr(45) + chr(0b111000)), ehT0Px3KOsy9('\060' + chr(289 - 178) + '\060', 8)))
return xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb45\xee\x8b\xdb'), chr(0b1100100) + chr(9076 - 8975) + chr(99) + chr(1359 - 1248) + chr(100) + '\145')('\x75' + chr(10962 - 10846) + chr(0b1000101 + 0o41) + chr(633 - 588) + chr(0b100010 + 0o26)))(*ULnjp6D6efFH, out=UkrMp_I0RDmo)
elif PlSM16l2KDPD(ULnjp6D6efFH[ehT0Px3KOsy9(chr(0b110000) + chr(0b1011 + 0o144) + '\x30', 8)], KNyTy8rYcwji):
ULnjp6D6efFH = pZ0NK2y6HRbn(*ULnjp6D6efFH)
return [qIPUMFsvp81Y(WVxHKyX45z_L) for WVxHKyX45z_L in ULnjp6D6efFH]
else:
ULnjp6D6efFH = WqUC3KWvYVup.asarray(ULnjp6D6efFH)
return xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85q\xea\xb8\xf48SNY\x00sN'), chr(100) + chr(3026 - 2925) + chr(99) + chr(3921 - 3810) + chr(0b1100100) + chr(2504 - 2403))('\165' + '\164' + '\x66' + chr(0b101101) + chr(1162 - 1106)))(ULnjp6D6efFH, dtype=xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\x12\xd9\xd1\xf9\x1bMZL\x06qk'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(3850 - 3749))('\x75' + chr(7153 - 7037) + chr(2543 - 2441) + '\055' + '\070')), ctx=xafqLlk3kkUe(vUUG4_3aIqQC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84.\xe1\x9c\xd5(W'), '\x64' + chr(101) + chr(0b1100011) + '\x6f' + '\144' + chr(5842 - 5741))(chr(6288 - 6171) + chr(0b1110100) + chr(756 - 654) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa41\xfa\xb7\xc38BMD*'), chr(0b11101 + 0o107) + chr(101) + chr(0b1100011) + chr(0b101011 + 0o104) + chr(2777 - 2677) + '\145')('\x75' + chr(7354 - 7238) + '\146' + chr(1557 - 1512) + chr(1204 - 1148)), ehT0Px3KOsy9(chr(1916 - 1868) + '\157' + '\x30', 8)))
|
apache/incubator-mxnet
|
python/mxnet/gluon/data/dataloader.py
|
_as_in_context
|
def _as_in_context(data, ctx):
"""Move data into new context."""
if isinstance(data, nd.NDArray):
return data.as_in_context(ctx)
elif isinstance(data, (list, tuple)):
return [_as_in_context(d, ctx) for d in data]
return data
|
python
|
def _as_in_context(data, ctx):
"""Move data into new context."""
if isinstance(data, nd.NDArray):
return data.as_in_context(ctx)
elif isinstance(data, (list, tuple)):
return [_as_in_context(d, ctx) for d in data]
return data
|
[
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"if",
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"NDArray",
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"return",
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",",
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")",
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"]",
"return",
"data"
] |
Move data into new context.
|
[
"Move",
"data",
"into",
"new",
"context",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/data/dataloader.py#L154-L160
|
train
|
Move data into new context.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\062' + '\x31', 0b1000), ehT0Px3KOsy9(chr(1053 - 1005) + '\157' + '\x32' + '\063' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + chr(413 - 362) + chr(0b100100 + 0o16) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1081 - 1033) + chr(111) + chr(0b101001 + 0o12) + chr(943 - 892), 0o10), ehT0Px3KOsy9(chr(1052 - 1004) + chr(11168 - 11057) + '\063' + '\x36' + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b110111) + chr(0b100 + 0o55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b110011) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\062' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + '\062' + chr(0b0 + 0o64) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b111101 + 0o62) + chr(0b11100 + 0o27) + '\x37' + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(2122 - 2069) + chr(0b11000 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b1110 + 0o45) + chr(0b110001 + 0o2), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101000 + 0o107) + chr(0b110010) + '\066' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1111 + 0o140) + chr(0b110010) + '\x33', 0b1000), ehT0Px3KOsy9(chr(95 - 47) + '\x6f' + chr(0b10100 + 0o35) + chr(54) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(0b1011 + 0o51), 0b1000), ehT0Px3KOsy9('\060' + chr(2369 - 2258) + chr(53) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x33' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110110) + chr(0b11000 + 0o37), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(54) + chr(0b101011 + 0o13), 0b1000), ehT0Px3KOsy9('\060' + chr(9175 - 9064) + chr(1229 - 1180) + '\x32' + chr(2469 - 2418), 0o10), ehT0Px3KOsy9(chr(2111 - 2063) + '\x6f' + chr(0b11111 + 0o26) + chr(2177 - 2125), 8), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(8645 - 8534) + '\062' + chr(0b11101 + 0o25) + chr(49), 8), ehT0Px3KOsy9(chr(1473 - 1425) + chr(111) + '\063' + chr(0b101100 + 0o6) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b111 + 0o150) + chr(0b110011) + '\064' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110 + 0o53) + '\x33' + chr(887 - 838), 44643 - 44635), ehT0Px3KOsy9('\060' + chr(0b1000 + 0o147) + chr(0b100000 + 0o22) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000111 + 0o50) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(627 - 579) + chr(0b1101111) + chr(0b11010 + 0o30) + chr(50) + chr(0b10110 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(12029 - 11918) + chr(54) + '\x37', 10964 - 10956), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1011101 + 0o22) + chr(51) + chr(1037 - 986) + chr(0b101011 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + '\062' + chr(2121 - 2070) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(2228 - 2117) + chr(51) + chr(2752 - 2699) + chr(0b10111 + 0o37), 35083 - 35075), ehT0Px3KOsy9('\060' + chr(0b110011 + 0o74) + '\x31' + '\062' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\060' + chr(1278 - 1225), 0b1000), ehT0Px3KOsy9(chr(350 - 302) + '\157' + chr(2289 - 2240) + chr(880 - 827) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b1000 + 0o52) + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110111 + 0o70) + chr(0b110001) + chr(52) + chr(0b1010 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9166 - 9055) + '\x31' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(128 - 80) + chr(0b10100 + 0o133) + '\063' + chr(0b1101 + 0o46) + chr(0b101001 + 0o16), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2489 - 2436) + '\x30', 2651 - 2643)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf'), chr(0b1100100) + chr(0b1001111 + 0o26) + chr(0b1100011) + chr(111) + '\144' + chr(8407 - 8306))('\x75' + chr(0b1110100) + '\x66' + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Qgg3XL2wdWyY(ULnjp6D6efFH, oM3jLo753XfX):
if PlSM16l2KDPD(ULnjp6D6efFH, xafqLlk3kkUe(Vy_CFRcuYrTj, xafqLlk3kkUe(SXOLrMavuUCe(b"\xdf\xdb\x94i\x87\xd8'"), chr(100) + chr(101) + '\x63' + chr(0b1101111) + '\x64' + '\145')(chr(0b1110101) + chr(0b11110 + 0o126) + chr(0b1100110) + chr(0b100001 + 0o14) + chr(56)))):
return xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xec\x8ar\x9b\xe6=:\xce\x89\xc9\xe3\xc2'), chr(0b111010 + 0o52) + '\145' + chr(99) + chr(0b10 + 0o155) + chr(100) + chr(6267 - 6166))(chr(0b11000 + 0o135) + chr(9961 - 9845) + '\146' + '\x2d' + '\070'))(oM3jLo753XfX)
elif PlSM16l2KDPD(ULnjp6D6efFH, (YyaZ4tpXu4lf, KNyTy8rYcwji)):
return [Qgg3XL2wdWyY(pd3lxn9vqWxp, oM3jLo753XfX) for pd3lxn9vqWxp in ULnjp6D6efFH]
return ULnjp6D6efFH
|
apache/incubator-mxnet
|
python/mxnet/gluon/data/dataloader.py
|
worker_loop_v1
|
def worker_loop_v1(dataset, key_queue, data_queue, batchify_fn):
"""Worker loop for multiprocessing DataLoader."""
while True:
idx, samples = key_queue.get()
if idx is None:
break
batch = batchify_fn([dataset[i] for i in samples])
data_queue.put((idx, batch))
|
python
|
def worker_loop_v1(dataset, key_queue, data_queue, batchify_fn):
"""Worker loop for multiprocessing DataLoader."""
while True:
idx, samples = key_queue.get()
if idx is None:
break
batch = batchify_fn([dataset[i] for i in samples])
data_queue.put((idx, batch))
|
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"=",
"key_queue",
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"(",
")",
"if",
"idx",
"is",
"None",
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"break",
"batch",
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"(",
"[",
"dataset",
"[",
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"]",
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"]",
")",
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"put",
"(",
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")"
] |
Worker loop for multiprocessing DataLoader.
|
[
"Worker",
"loop",
"for",
"multiprocessing",
"DataLoader",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/data/dataloader.py#L163-L170
|
train
|
Worker loop for multiprocessing DataLoader v1.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(1237 - 1185), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011010 + 0o25) + chr(1285 - 1235) + chr(0b100100 + 0o17) + chr(1782 - 1728), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(9856 - 9745) + chr(0b11 + 0o56) + chr(2301 - 2250) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(924 - 873) + chr(0b110011) + chr(2581 - 2528), 37765 - 37757), ehT0Px3KOsy9(chr(48) + chr(111) + chr(699 - 650) + chr(2418 - 2368) + chr(50), 45846 - 45838), ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + '\062' + chr(0b110010) + chr(0b10111 + 0o33), 2725 - 2717), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b110011) + '\066' + chr(739 - 688), 0o10), ehT0Px3KOsy9(chr(1585 - 1537) + chr(0b1001100 + 0o43) + chr(1127 - 1075) + '\060', 53018 - 53010), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(50) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(702 - 654) + '\x6f' + chr(0b110000 + 0o7) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + '\061' + chr(0b1010 + 0o51) + '\x35', 42058 - 42050), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b0 + 0o62) + chr(51) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + chr(0b1101 + 0o46) + chr(0b0 + 0o61) + chr(1029 - 980), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11100 + 0o123) + chr(0b1 + 0o62) + chr(0b110001) + chr(0b101010 + 0o6), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110100) + chr(0b1 + 0o63), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1512 - 1457) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(6640 - 6529) + chr(1672 - 1621) + '\x31' + chr(48), 8), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + '\063' + chr(1741 - 1693) + chr(2032 - 1982), 0b1000), ehT0Px3KOsy9(chr(1851 - 1803) + chr(111) + chr(987 - 932) + chr(2107 - 2059), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(686 - 637) + '\061' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1869 - 1821) + '\x6f' + chr(1884 - 1834) + chr(48) + '\x37', 13227 - 13219), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(765 - 716) + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(2605 - 2494) + chr(0b101 + 0o56) + chr(0b10110 + 0o35) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(12257 - 12146) + chr(51) + chr(0b100111 + 0o14) + chr(51), 0o10), ehT0Px3KOsy9(chr(892 - 844) + chr(0b1000 + 0o147) + chr(1091 - 1042) + '\060' + '\x37', 54385 - 54377), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + chr(1657 - 1607) + chr(54) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110011) + chr(0b0 + 0o67), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1111 - 1060) + chr(0b11 + 0o61) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3714 - 3603) + '\066' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(153 - 105) + chr(111) + chr(49) + chr(51), 26107 - 26099), ehT0Px3KOsy9(chr(1364 - 1316) + chr(0b1010100 + 0o33) + '\x32' + '\x35' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1503 - 1455) + chr(0b1101111) + chr(51) + '\063' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(49) + '\060' + '\x32', 31615 - 31607), ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + '\062' + chr(1388 - 1340) + '\066', 39482 - 39474), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(54) + '\x34', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(2095 - 2044) + chr(0b110101), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101001 + 0o12) + chr(362 - 312) + '\x33', 0o10), ehT0Px3KOsy9(chr(1297 - 1249) + chr(0b1001111 + 0o40) + '\063' + '\062' + '\x33', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + chr(50) + chr(50) + chr(2313 - 2258), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(48), 43842 - 43834)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'"'), '\x64' + chr(0b1000011 + 0o42) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b101 + 0o140))(chr(12215 - 12098) + chr(116) + chr(0b1000111 + 0o37) + chr(45) + chr(1734 - 1678)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def IOCKkjptU088(xQt6gV9VfTO3, OcFoMHvlTJjB, YaKZr6QbuOtw, xnafMvmtRLLG):
while ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + chr(283 - 234), 16742 - 16734):
(YlqusYB6InkM, db1_IZvznkcy) = OcFoMHvlTJjB.get()
if YlqusYB6InkM is None:
break
dNwAahu8tvoY = xnafMvmtRLLG([xQt6gV9VfTO3[WVxHKyX45z_L] for WVxHKyX45z_L in db1_IZvznkcy])
xafqLlk3kkUe(YaKZr6QbuOtw, xafqLlk3kkUe(SXOLrMavuUCe(b'|\xeb,'), chr(0b0 + 0o144) + chr(5390 - 5289) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(9498 - 9381) + '\x74' + '\x66' + chr(0b101011 + 0o2) + '\070'))((YlqusYB6InkM, dNwAahu8tvoY))
|
apache/incubator-mxnet
|
python/mxnet/gluon/data/dataloader.py
|
fetcher_loop_v1
|
def fetcher_loop_v1(data_queue, data_buffer, pin_memory=False,
pin_device_id=0, data_buffer_lock=None):
"""Fetcher loop for fetching data from queue and put in reorder dict."""
while True:
idx, batch = data_queue.get()
if idx is None:
break
if pin_memory:
batch = _as_in_context(batch, context.cpu_pinned(pin_device_id))
else:
batch = _as_in_context(batch, context.cpu())
if data_buffer_lock is not None:
with data_buffer_lock:
data_buffer[idx] = batch
else:
data_buffer[idx] = batch
|
python
|
def fetcher_loop_v1(data_queue, data_buffer, pin_memory=False,
pin_device_id=0, data_buffer_lock=None):
"""Fetcher loop for fetching data from queue and put in reorder dict."""
while True:
idx, batch = data_queue.get()
if idx is None:
break
if pin_memory:
batch = _as_in_context(batch, context.cpu_pinned(pin_device_id))
else:
batch = _as_in_context(batch, context.cpu())
if data_buffer_lock is not None:
with data_buffer_lock:
data_buffer[idx] = batch
else:
data_buffer[idx] = batch
|
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] |
Fetcher loop for fetching data from queue and put in reorder dict.
|
[
"Fetcher",
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"for",
"fetching",
"data",
"from",
"queue",
"and",
"put",
"in",
"reorder",
"dict",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/data/dataloader.py#L172-L187
|
train
|
Fetcher loop for fetching data from queue and put in reorder dict.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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' + '\063' + chr(0b110011) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\x32' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5925 - 5814) + chr(579 - 529) + chr(48) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\065' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(1304 - 1256) + '\x6f' + '\x33' + chr(48) + '\x34', 59039 - 59031), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\063' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001000 + 0o47) + '\x31' + '\x37' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1100 + 0o46) + chr(0b101011 + 0o10) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + '\064' + chr(0b1 + 0o66), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\066' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(143 - 92) + chr(0b100110 + 0o14) + chr(0b11100 + 0o25), 64075 - 64067), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110100) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(456 - 405) + '\067' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(50) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(8952 - 8841) + '\065' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(51) + '\x30' + chr(0b101101 + 0o6), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + '\x32' + chr(53) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(6230 - 6119) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + '\x33' + chr(1691 - 1640), 44 - 36), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(50) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10111 + 0o33) + chr(0b110010) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + chr(50) + '\060' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(852 - 801) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b11110 + 0o31) + '\x34', 51186 - 51178), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10010 + 0o41) + chr(0b110011) + '\x34', 40738 - 40730), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(268 - 219) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(205 - 156) + chr(0b111 + 0o51) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(720 - 665) + chr(0b110000 + 0o0), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b101010 + 0o6) + '\x31', 8), ehT0Px3KOsy9(chr(1719 - 1671) + chr(0b1101111) + chr(0b110011) + chr(2960 - 2905), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x32' + chr(342 - 293), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(0b110001) + chr(55) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1244 - 1196) + '\x6f' + '\x33' + chr(0b110101) + '\066', 50042 - 50034), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10111 + 0o33) + chr(54) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(50) + '\066' + chr(0b100111 + 0o15), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\064' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(1246 - 1198) + chr(0b110011), 8), ehT0Px3KOsy9(chr(1247 - 1199) + chr(7505 - 7394) + chr(0b11010 + 0o30), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + chr(0b110011) + '\067' + chr(2815 - 2761), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(4305 - 4194) + chr(0b110101) + chr(1387 - 1339), 54302 - 54294)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5'), '\x64' + '\x65' + chr(0b111100 + 0o47) + '\157' + chr(0b10111 + 0o115) + chr(101))('\x75' + chr(0b1101001 + 0o13) + '\x66' + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _IvCItWE5uOE(YaKZr6QbuOtw, FkYPgejisPnh, a42ozP_3l4rZ=ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + chr(0b101110 + 0o2), 0o10), U4NAW_oyKk1o=ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 8), sQ2zFGC1a0pC=None):
while ehT0Px3KOsy9(chr(560 - 512) + chr(0b1101111) + '\x31', 0b1000):
(YlqusYB6InkM, dNwAahu8tvoY) = YaKZr6QbuOtw.get()
if YlqusYB6InkM is None:
break
if a42ozP_3l4rZ:
dNwAahu8tvoY = Qgg3XL2wdWyY(dNwAahu8tvoY, vUUG4_3aIqQC.cpu_pinned(U4NAW_oyKk1o))
else:
dNwAahu8tvoY = Qgg3XL2wdWyY(dNwAahu8tvoY, vUUG4_3aIqQC.cpu())
if sQ2zFGC1a0pC is not None:
with sQ2zFGC1a0pC:
FkYPgejisPnh[YlqusYB6InkM] = dNwAahu8tvoY
else:
FkYPgejisPnh[YlqusYB6InkM] = dNwAahu8tvoY
|
apache/incubator-mxnet
|
python/mxnet/gluon/data/dataloader.py
|
_worker_fn
|
def _worker_fn(samples, batchify_fn, dataset=None):
"""Function for processing data in worker process."""
# pylint: disable=unused-argument
# it is required that each worker process has to fork a new MXIndexedRecordIO handle
# preserving dataset as global variable can save tons of overhead and is safe in new process
global _worker_dataset
batch = batchify_fn([_worker_dataset[i] for i in samples])
buf = io.BytesIO()
ForkingPickler(buf, pickle.HIGHEST_PROTOCOL).dump(batch)
return buf.getvalue()
|
python
|
def _worker_fn(samples, batchify_fn, dataset=None):
"""Function for processing data in worker process."""
# pylint: disable=unused-argument
# it is required that each worker process has to fork a new MXIndexedRecordIO handle
# preserving dataset as global variable can save tons of overhead and is safe in new process
global _worker_dataset
batch = batchify_fn([_worker_dataset[i] for i in samples])
buf = io.BytesIO()
ForkingPickler(buf, pickle.HIGHEST_PROTOCOL).dump(batch)
return buf.getvalue()
|
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",",
"dataset",
"=",
"None",
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":",
"# pylint: disable=unused-argument",
"# it is required that each worker process has to fork a new MXIndexedRecordIO handle",
"# preserving dataset as global variable can save tons of overhead and is safe in new process",
"global",
"_worker_dataset",
"batch",
"=",
"batchify_fn",
"(",
"[",
"_worker_dataset",
"[",
"i",
"]",
"for",
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"in",
"samples",
"]",
")",
"buf",
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"io",
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"BytesIO",
"(",
")",
"ForkingPickler",
"(",
"buf",
",",
"pickle",
".",
"HIGHEST_PROTOCOL",
")",
".",
"dump",
"(",
"batch",
")",
"return",
"buf",
".",
"getvalue",
"(",
")"
] |
Function for processing data in worker process.
|
[
"Function",
"for",
"processing",
"data",
"in",
"worker",
"process",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/data/dataloader.py#L394-L403
|
train
|
Function for processing data in worker process.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(11373 - 11262) + chr(1229 - 1178) + chr(48) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(1777 - 1729) + chr(111) + chr(0b110010) + chr(784 - 729) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\063' + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1319 - 1269) + chr(0b110111) + chr(0b10001 + 0o43), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1706 - 1656) + '\062' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + '\061' + '\x36' + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(1797 - 1686) + chr(2332 - 2281) + chr(0b110100) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(2272 - 2222) + '\x35' + chr(1362 - 1314), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(0b111 + 0o53) + '\060' + chr(0b101011 + 0o11), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + '\x36' + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(924 - 874) + chr(54) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(53) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + '\067' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(718 - 668), 45137 - 45129), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(147 - 93) + '\063', 17308 - 17300), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110 + 0o55) + chr(0b11110 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b1 + 0o63) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b11010 + 0o31) + chr(0b10100 + 0o35), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b110100) + chr(0b100011 + 0o22), 0b1000), ehT0Px3KOsy9(chr(610 - 562) + chr(2335 - 2224) + chr(49) + '\063' + chr(48), 22976 - 22968), ehT0Px3KOsy9('\x30' + chr(7698 - 7587) + chr(0b110010) + chr(2182 - 2131) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b1100 + 0o45) + '\063' + chr(0b10100 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10998 - 10887) + chr(295 - 242) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11101 + 0o26) + '\063' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1642 - 1593) + '\x32' + chr(1777 - 1724), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110110) + chr(52), 0o10), ehT0Px3KOsy9(chr(774 - 726) + chr(9639 - 9528) + chr(0b10011 + 0o37) + chr(0b110111) + chr(0b100000 + 0o27), 62489 - 62481), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x33' + '\x31', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b110100) + chr(49), 56437 - 56429), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\x35' + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(2659 - 2548) + chr(528 - 477) + chr(0b110010) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(1932 - 1882) + chr(0b11011 + 0o33) + '\061', 31041 - 31033), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(1127 - 1079) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1209 - 1159) + chr(0b110110) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x34' + chr(0b100011 + 0o23), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b10 + 0o60) + '\060' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111000 + 0o67) + chr(0b110001) + '\063' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x34' + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\064' + '\065', 8), ehT0Px3KOsy9('\060' + chr(10802 - 10691) + chr(0b1110 + 0o44) + chr(2196 - 2144) + chr(0b11001 + 0o27), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x35' + chr(0b101000 + 0o10), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xec'), '\x64' + chr(0b1100101) + '\x63' + chr(507 - 396) + chr(0b1100100) + chr(3205 - 3104))(chr(9861 - 9744) + '\164' + chr(0b1100110) + chr(0b0 + 0o55) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def vtHSzMoAOUgC(db1_IZvznkcy, xnafMvmtRLLG, xQt6gV9VfTO3=None):
global SjRdejaJiiaN
dNwAahu8tvoY = xnafMvmtRLLG([SjRdejaJiiaN[WVxHKyX45z_L] for WVxHKyX45z_L in db1_IZvznkcy])
b3K7dbpII422 = Bey9a5LqdaFa.BytesIO()
xafqLlk3kkUe(wiDTbzgR8ikl(b3K7dbpII422, b1Ng5DsPF9ZY.HIGHEST_PROTOCOL), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\xcd\xf3\xcc'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1100011 + 0o14) + chr(0b1100100) + chr(0b1100101))('\x75' + '\164' + chr(0b1100110) + '\x2d' + chr(2913 - 2857)))(dNwAahu8tvoY)
return xafqLlk3kkUe(b3K7dbpII422, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5\xdd\xea\xca\xf0\x1b\x95\xcd'), chr(0b1001011 + 0o31) + chr(101) + '\143' + '\x6f' + '\x64' + chr(101))('\x75' + '\164' + chr(0b1100110) + chr(0b11100 + 0o21) + chr(56)))()
|
apache/incubator-mxnet
|
python/mxnet/gluon/data/dataloader.py
|
ConnectionWrapper.send
|
def send(self, obj):
"""Send object"""
buf = io.BytesIO()
ForkingPickler(buf, pickle.HIGHEST_PROTOCOL).dump(obj)
self.send_bytes(buf.getvalue())
|
python
|
def send(self, obj):
"""Send object"""
buf = io.BytesIO()
ForkingPickler(buf, pickle.HIGHEST_PROTOCOL).dump(obj)
self.send_bytes(buf.getvalue())
|
[
"def",
"send",
"(",
"self",
",",
"obj",
")",
":",
"buf",
"=",
"io",
".",
"BytesIO",
"(",
")",
"ForkingPickler",
"(",
"buf",
",",
"pickle",
".",
"HIGHEST_PROTOCOL",
")",
".",
"dump",
"(",
"obj",
")",
"self",
".",
"send_bytes",
"(",
"buf",
".",
"getvalue",
"(",
")",
")"
] |
Send object
|
[
"Send",
"object"
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/data/dataloader.py#L81-L85
|
train
|
Send object to the socket.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1214 - 1166) + '\157' + '\x31' + chr(0b110101), 4135 - 4127), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(12087 - 11976) + chr(50) + chr(139 - 87) + '\062', 10766 - 10758), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(1560 - 1508) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9280 - 9169) + chr(123 - 74) + chr(0b110010) + chr(49), 21544 - 21536), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x36' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\x36' + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b111 + 0o53) + chr(0b11100 + 0o33) + chr(1403 - 1354), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(0b110011) + chr(53) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1116 - 1066) + chr(0b101 + 0o55) + chr(0b110 + 0o53), 30842 - 30834), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11011 + 0o32) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\x36' + chr(621 - 566), 57529 - 57521), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + '\x31' + '\061' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1296 - 1248) + '\157' + chr(49) + '\061' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(193 - 143) + chr(55), 16860 - 16852), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110111) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\064' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1010 + 0o50) + chr(1308 - 1254) + chr(0b11011 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(48) + chr(1045 - 995), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(922 - 872) + chr(1308 - 1260) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8513 - 8402) + chr(0b100 + 0o56) + chr(0b110101) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + '\062' + '\x34' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(2389 - 2340) + '\x37' + chr(0b10110 + 0o33), 62269 - 62261), ehT0Px3KOsy9(chr(569 - 521) + chr(111) + chr(1002 - 953) + chr(0b110101) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x35' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101011 + 0o7) + '\061' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(368 - 319) + chr(0b100111 + 0o20) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(225 - 177) + '\157' + chr(0b110011) + chr(52) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b110001) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4880 - 4769) + chr(0b100101 + 0o14) + '\x35' + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(10851 - 10740) + chr(839 - 790) + chr(55) + chr(473 - 421), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(2329 - 2279) + chr(0b10111 + 0o31) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1612 - 1562) + '\x35' + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(104 - 50) + chr(1494 - 1444), 0b1000), ehT0Px3KOsy9(chr(1083 - 1035) + '\157' + '\x35' + chr(0b11100 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(2275 - 2227) + chr(0b1011111 + 0o20) + '\061' + '\x31' + chr(50), 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + '\062' + chr(0b101010 + 0o15) + chr(0b101101 + 0o3), 0b1000), ehT0Px3KOsy9('\060' + chr(748 - 637) + chr(858 - 808) + '\x30' + chr(2268 - 2217), 44119 - 44111), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(4646 - 4535) + chr(52) + chr(0b10110 + 0o33), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + '\065' + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'#'), chr(0b1011011 + 0o11) + chr(101) + chr(0b1010001 + 0o22) + chr(9965 - 9854) + chr(100) + chr(6794 - 6693))(chr(4484 - 4367) + chr(116) + chr(0b1100110) + chr(732 - 687) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def oR8uL58nAa6x(oVre8I6UXc3b, mDuDykdz0pcm):
b3K7dbpII422 = Bey9a5LqdaFa.BytesIO()
xafqLlk3kkUe(wiDTbzgR8ikl(b3K7dbpII422, b1Ng5DsPF9ZY.HIGHEST_PROTOCOL), xafqLlk3kkUe(SXOLrMavuUCe(b'is\xcf\x94'), chr(9459 - 9359) + chr(0b1100101) + '\x63' + '\x6f' + '\144' + chr(101))(chr(0b111111 + 0o66) + '\x74' + chr(102) + '\x2d' + chr(0b101011 + 0o15)))(mDuDykdz0pcm)
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'~c\xcc\x80\x0eQ\x0f\xcd\x88\xe2'), chr(2905 - 2805) + chr(0b1100101) + '\143' + chr(11585 - 11474) + '\x64' + chr(4743 - 4642))(chr(0b1010001 + 0o44) + chr(116) + '\x66' + chr(1519 - 1474) + '\070'))(xafqLlk3kkUe(b3K7dbpII422, xafqLlk3kkUe(SXOLrMavuUCe(b'jc\xd6\x920_\x03\xdc'), '\x64' + chr(101) + '\x63' + chr(4500 - 4389) + '\x64' + chr(0b100 + 0o141))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(45) + chr(56)))())
|
apache/incubator-mxnet
|
python/mxnet/gluon/data/dataloader.py
|
_MultiWorkerIterV1._push_next
|
def _push_next(self):
"""Assign next batch workload to workers."""
r = next(self._iter, None)
if r is None:
return
self._key_queue.put((self._sent_idx, r))
self._sent_idx += 1
|
python
|
def _push_next(self):
"""Assign next batch workload to workers."""
r = next(self._iter, None)
if r is None:
return
self._key_queue.put((self._sent_idx, r))
self._sent_idx += 1
|
[
"def",
"_push_next",
"(",
"self",
")",
":",
"r",
"=",
"next",
"(",
"self",
".",
"_iter",
",",
"None",
")",
"if",
"r",
"is",
"None",
":",
"return",
"self",
".",
"_key_queue",
".",
"put",
"(",
"(",
"self",
".",
"_sent_idx",
",",
"r",
")",
")",
"self",
".",
"_sent_idx",
"+=",
"1"
] |
Assign next batch workload to workers.
|
[
"Assign",
"next",
"batch",
"workload",
"to",
"workers",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/data/dataloader.py#L237-L243
|
train
|
Assign next batch workload to workers.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\x36' + chr(1695 - 1640), 23942 - 23934), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(3777 - 3666) + chr(2513 - 2462) + chr(88 - 34) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(4568 - 4457) + '\x33' + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1010 + 0o47) + chr(54) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3795 - 3684) + chr(0b10101 + 0o35) + chr(1874 - 1822) + chr(1150 - 1102), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101100 + 0o3) + chr(49) + chr(0b110100) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100101 + 0o16) + '\x30' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(448 - 399) + '\061' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(50) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b11110 + 0o121) + chr(49) + '\061' + chr(0b1011 + 0o50), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\067' + chr(0b10010 + 0o45), 16672 - 16664), ehT0Px3KOsy9(chr(0b110000) + chr(9363 - 9252) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(841 - 793) + '\x30', 63222 - 63214), ehT0Px3KOsy9('\060' + '\x6f' + chr(364 - 313) + chr(0b101110 + 0o7) + chr(0b10111 + 0o32), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(1765 - 1654) + chr(1005 - 956) + '\065' + chr(811 - 760), 0b1000), ehT0Px3KOsy9(chr(1192 - 1144) + chr(0b1101111) + chr(52) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(2034 - 1986) + chr(0b1101111) + '\063' + '\062' + chr(0b10010 + 0o40), 37556 - 37548), ehT0Px3KOsy9('\x30' + chr(11739 - 11628) + chr(49) + chr(0b110111) + chr(0b110101), 18451 - 18443), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\x33' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b110010) + chr(1465 - 1410) + chr(0b100010 + 0o25), 30444 - 30436), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\x37' + chr(1293 - 1240), 0o10), ehT0Px3KOsy9(chr(48) + chr(3040 - 2929) + chr(0b110101) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(6645 - 6534) + chr(50) + chr(0b110001) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1711 - 1663) + chr(111) + chr(49) + '\066' + chr(0b110101 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + '\060', 58008 - 58000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10000 + 0o42) + '\064' + chr(419 - 367), ord("\x08")), ehT0Px3KOsy9(chr(1472 - 1424) + chr(0b10100 + 0o133) + chr(0b110011) + chr(48) + '\061', 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110110) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(1169 - 1121) + chr(0b111110 + 0o61) + chr(49) + '\x30' + chr(1618 - 1566), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1634 - 1583) + '\062' + chr(55), 8), ehT0Px3KOsy9(chr(729 - 681) + '\157' + '\062' + '\063' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(1799 - 1749) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1243 - 1192) + chr(0b110100) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\067' + '\x30', 21605 - 21597), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + '\062' + chr(1473 - 1425) + chr(0b11011 + 0o26), 40176 - 40168), ehT0Px3KOsy9('\x30' + chr(1901 - 1790) + chr(1624 - 1573) + chr(518 - 466) + '\x33', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1578 - 1529) + chr(0b1100 + 0o44) + chr(48), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(1276 - 1226) + chr(0b10110 + 0o35) + '\x33', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(87 - 33), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(53) + chr(50), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + chr(53) + chr(1811 - 1763), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Y'), '\x64' + chr(101) + chr(0b1100011) + chr(0b110100 + 0o73) + chr(2420 - 2320) + chr(0b1100101))(chr(9383 - 9266) + '\x74' + chr(0b1100110) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def yDpGJAA7rV7s(oVre8I6UXc3b):
JWG5qApaeJkp = nSwwHEeM4cxI(oVre8I6UXc3b._iter, None)
if JWG5qApaeJkp is None:
return
xafqLlk3kkUe(oVre8I6UXc3b._key_queue, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\x83j'), chr(0b1011 + 0o131) + '\x65' + '\143' + chr(3748 - 3637) + chr(100) + chr(0b111100 + 0o51))('\165' + chr(0b1110100) + '\146' + '\055' + '\x38'))((xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'(\x85{\x1c\xd4<\xa8,\xaf'), chr(100) + chr(101) + chr(99) + chr(12200 - 12089) + chr(0b1100100) + '\145')(chr(0b101110 + 0o107) + '\164' + '\x66' + chr(45) + chr(0b111000))), JWG5qApaeJkp))
oVre8I6UXc3b.roFO4IlAfa4z += ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49), 0b1000)
|
apache/incubator-mxnet
|
python/mxnet/gluon/data/dataloader.py
|
_MultiWorkerIterV1.shutdown
|
def shutdown(self):
"""Shutdown internal workers by pushing terminate signals."""
if not self._shutdown:
# send shutdown signal to the fetcher and join data queue first
# Remark: loop_fetcher need to be joined prior to the workers.
# otherwise, the the fetcher may fail at getting data
self._data_queue.put((None, None))
self._fetcher.join()
# send shutdown signal to all worker processes
for _ in range(self._num_workers):
self._key_queue.put((None, None))
# force shut down any alive worker processes
for w in self._workers:
if w.is_alive():
w.terminate()
self._shutdown = True
|
python
|
def shutdown(self):
"""Shutdown internal workers by pushing terminate signals."""
if not self._shutdown:
# send shutdown signal to the fetcher and join data queue first
# Remark: loop_fetcher need to be joined prior to the workers.
# otherwise, the the fetcher may fail at getting data
self._data_queue.put((None, None))
self._fetcher.join()
# send shutdown signal to all worker processes
for _ in range(self._num_workers):
self._key_queue.put((None, None))
# force shut down any alive worker processes
for w in self._workers:
if w.is_alive():
w.terminate()
self._shutdown = True
|
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"_shutdown",
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"# send shutdown signal to the fetcher and join data queue first",
"# Remark: loop_fetcher need to be joined prior to the workers.",
"# otherwise, the the fetcher may fail at getting data",
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".",
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"terminate",
"(",
")",
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"_shutdown",
"=",
"True"
] |
Shutdown internal workers by pushing terminate signals.
|
[
"Shutdown",
"internal",
"workers",
"by",
"pushing",
"terminate",
"signals",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/data/dataloader.py#L266-L281
|
train
|
Shutdown internal workers by pushing terminate signals.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(9116 - 9005) + chr(0b110011) + chr(622 - 567) + chr(53), 3576 - 3568), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100011 + 0o16) + chr(0b10010 + 0o42) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1137 - 1087) + chr(0b110011) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101001 + 0o11) + chr(0b110011) + '\x34', 26639 - 26631), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(6061 - 5950) + '\067', 61204 - 61196), ehT0Px3KOsy9(chr(604 - 556) + '\157' + chr(131 - 80) + '\063' + chr(53), 57652 - 57644), ehT0Px3KOsy9(chr(1198 - 1150) + chr(111) + chr(0b10010 + 0o37) + '\067' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(126 - 76) + '\x34' + chr(0b1111 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001 + 0o0) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x36' + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(5938 - 5827) + chr(337 - 286) + chr(2022 - 1967) + '\x35', 8), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(779 - 728) + chr(0b11001 + 0o34) + '\064', 3180 - 3172), ehT0Px3KOsy9(chr(810 - 762) + chr(0b1101111) + '\x33' + '\060' + chr(50), 26836 - 26828), ehT0Px3KOsy9(chr(1480 - 1432) + chr(0b1010101 + 0o32) + chr(2345 - 2292) + chr(0b110100), 37550 - 37542), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b110000) + chr(53), 0o10), ehT0Px3KOsy9(chr(2031 - 1983) + chr(10166 - 10055) + '\062' + chr(0b110100) + chr(279 - 226), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(2274 - 2224) + chr(0b1100 + 0o44) + chr(0b1100 + 0o51), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\060' + chr(2115 - 2064), 0o10), ehT0Px3KOsy9('\x30' + chr(4125 - 4014) + chr(0b100 + 0o57) + chr(0b110001) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(188 - 77) + '\x33' + chr(0b110101) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\065' + chr(50), 52863 - 52855), ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + chr(51) + chr(0b10 + 0o62) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(1254 - 1201) + '\x35', 58838 - 58830), ehT0Px3KOsy9('\060' + chr(7306 - 7195) + chr(50) + chr(0b100 + 0o60) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\x36' + '\061', 56557 - 56549), ehT0Px3KOsy9(chr(0b110000) + chr(6264 - 6153) + chr(0b110011 + 0o4) + chr(2505 - 2452), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b110010) + chr(2469 - 2415), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7453 - 7342) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + chr(0b110001) + chr(0b110110) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1101 + 0o45) + chr(2067 - 2018) + chr(0b110100), 11824 - 11816), ehT0Px3KOsy9(chr(0b110000) + chr(5549 - 5438) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1101 + 0o46) + chr(1851 - 1797) + chr(663 - 611), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101101 + 0o10), 0o10), ehT0Px3KOsy9('\x30' + chr(502 - 391) + chr(1839 - 1790) + chr(0b110011) + '\066', 957 - 949), ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + '\x33' + '\062' + chr(0b1001 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(1371 - 1323) + chr(111) + '\x35' + chr(2224 - 2173), 16490 - 16482), ehT0Px3KOsy9(chr(0b110000) + chr(8340 - 8229) + '\062' + '\x35' + chr(0b10010 + 0o42), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + chr(0b110101) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3'), chr(100) + chr(101) + chr(6896 - 6797) + chr(111) + chr(0b1100100) + chr(0b10111 + 0o116))(chr(0b10110 + 0o137) + chr(0b1110100) + chr(0b1001111 + 0o27) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ueh22mwO3hKE(oVre8I6UXc3b):
if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\x16\xf7\xe9s\xb9\x12\xd1`'), chr(0b1100100) + '\145' + '\x63' + '\157' + chr(9791 - 9691) + '\145')('\x75' + chr(5421 - 5305) + chr(102) + chr(45) + chr(0b10000 + 0o50))):
xafqLlk3kkUe(oVre8I6UXc3b._data_queue, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x10\xeb'), '\x64' + chr(0b101010 + 0o73) + chr(0b1010110 + 0o15) + chr(7448 - 7337) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + '\055' + '\x38'))((None, None))
xafqLlk3kkUe(oVre8I6UXc3b._fetcher, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\n\xc8\xc4}\xa9+\xe8`w}\xbb'), chr(0b11111 + 0o105) + '\x65' + chr(3814 - 3715) + '\157' + '\x64' + chr(330 - 229))('\x75' + '\164' + chr(10254 - 10152) + chr(0b100 + 0o51) + chr(56)))()
for VNGQdHSFPrso in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\x0b\xea\xf1X\xaa\x12\xd4ecG\x8e'), '\144' + '\145' + chr(0b1100011) + chr(0b1000111 + 0o50) + chr(0b1011110 + 0o6) + chr(5309 - 5208))('\x75' + chr(0b110001 + 0o103) + '\x66' + chr(1646 - 1601) + chr(56)))):
xafqLlk3kkUe(oVre8I6UXc3b._key_queue, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x10\xeb'), chr(6388 - 6288) + '\x65' + chr(0b1100011) + '\x6f' + chr(100) + chr(0b1001110 + 0o27))(chr(0b100110 + 0o117) + '\164' + chr(5786 - 5684) + chr(45) + chr(56)))((None, None))
for AOfzRywRzEXp in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\x12\xf0\xeel\xb8\x0f\xd5'), '\144' + chr(2927 - 2826) + chr(99) + chr(8940 - 8829) + '\144' + '\x65')(chr(5087 - 4970) + '\164' + '\x66' + '\055' + chr(0b100110 + 0o22))):
if xafqLlk3kkUe(AOfzRywRzEXp, xafqLlk3kkUe(SXOLrMavuUCe(b'\x94\x16\xc0\xfdk\xb4\x0b\xc3'), chr(5284 - 5184) + chr(101) + chr(3579 - 3480) + chr(12056 - 11945) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(3927 - 3811) + chr(0b11001 + 0o115) + chr(0b101101) + chr(1806 - 1750)))():
xafqLlk3kkUe(AOfzRywRzEXp, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\x00\xed\xf1n\xb3\x1c\xd2k'), chr(100) + chr(101) + chr(0b1100011) + chr(0b11110 + 0o121) + chr(0b1100100) + '\x65')(chr(0b1100001 + 0o24) + chr(0b10001 + 0o143) + chr(102) + chr(0b10110 + 0o27) + chr(0b111000)))()
oVre8I6UXc3b.RR7YLIQActTY = ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(49), 46130 - 46122)
|
apache/incubator-mxnet
|
python/mxnet/gluon/data/dataloader.py
|
_MultiWorkerIter._push_next
|
def _push_next(self):
"""Assign next batch workload to workers."""
r = next(self._iter, None)
if r is None:
return
async_ret = self._worker_pool.apply_async(
self._worker_fn, (r, self._batchify_fn, self._dataset))
self._data_buffer[self._sent_idx] = async_ret
self._sent_idx += 1
|
python
|
def _push_next(self):
"""Assign next batch workload to workers."""
r = next(self._iter, None)
if r is None:
return
async_ret = self._worker_pool.apply_async(
self._worker_fn, (r, self._batchify_fn, self._dataset))
self._data_buffer[self._sent_idx] = async_ret
self._sent_idx += 1
|
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] |
Assign next batch workload to workers.
|
[
"Assign",
"next",
"batch",
"workload",
"to",
"workers",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/gluon/data/dataloader.py#L431-L439
|
train
|
Assign next batch workload to workers.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b1010001 + 0o36) + chr(187 - 138) + chr(854 - 800) + chr(0b1101 + 0o45), 10099 - 10091), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b11100 + 0o25) + chr(1829 - 1779), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(361 - 311) + '\060', 55219 - 55211), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b1111 + 0o45) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2364 - 2253) + chr(51) + chr(0b110010 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(0b11100 + 0o26) + '\x32' + chr(0b10101 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x34' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10780 - 10669) + chr(49) + chr(0b110010) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(532 - 484) + chr(0b1101111) + chr(50) + chr(53), 44821 - 44813), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(0b110010) + '\066' + chr(1382 - 1328), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10 + 0o61) + chr(0b1111 + 0o41) + chr(0b110000 + 0o2), 0o10), ehT0Px3KOsy9(chr(204 - 156) + chr(9040 - 8929) + chr(51) + chr(0b1100 + 0o52) + chr(0b110010 + 0o5), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1934 - 1884) + chr(0b101101 + 0o4) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\064' + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11011 + 0o34), 64929 - 64921), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + '\067' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(0b110010) + '\067' + chr(0b110100 + 0o1), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100110 + 0o15) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(2864 - 2809), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100010 + 0o21) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + chr(1012 - 962) + chr(51) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(0b101011 + 0o11) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(797 - 743) + chr(1919 - 1866), 15014 - 15006), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x36' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10000 + 0o42) + chr(0b110101) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4268 - 4157) + chr(1281 - 1229) + chr(876 - 826), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b110101) + chr(0b10100 + 0o35), 0b1000), ehT0Px3KOsy9(chr(889 - 841) + '\x6f' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\x32' + '\067', 28633 - 28625), ehT0Px3KOsy9(chr(0b110000) + chr(264 - 153) + chr(0b110001) + chr(1216 - 1167) + chr(1024 - 973), ord("\x08")), ehT0Px3KOsy9(chr(1995 - 1947) + '\x6f' + '\063' + chr(49) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + '\x31' + chr(49) + chr(0b1100 + 0o52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x36' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8484 - 8373) + chr(49) + chr(54) + chr(1281 - 1228), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\062', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110111), 8), ehT0Px3KOsy9('\060' + chr(0b100000 + 0o117) + chr(1505 - 1454) + '\x31' + chr(0b1010 + 0o54), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\067' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(1385 - 1330) + '\062', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b110101) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\\'), chr(100) + chr(0b1100101) + chr(0b10111 + 0o114) + '\157' + '\x64' + chr(0b1100101))('\165' + chr(11235 - 11119) + chr(0b101000 + 0o76) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def yDpGJAA7rV7s(oVre8I6UXc3b):
JWG5qApaeJkp = nSwwHEeM4cxI(oVre8I6UXc3b._iter, None)
if JWG5qApaeJkp is None:
return
XNjlzjvub2ow = oVre8I6UXc3b._worker_pool.apply_async(oVre8I6UXc3b._worker_fn, (JWG5qApaeJkp, oVre8I6UXc3b._batchify_fn, oVre8I6UXc3b._dataset))
oVre8I6UXc3b.cBwKH7x5miX1[oVre8I6UXc3b.roFO4IlAfa4z] = XNjlzjvub2ow
oVre8I6UXc3b.roFO4IlAfa4z += ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(8959 - 8848) + chr(328 - 279), ord("\x08"))
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
_ctype_key_value
|
def _ctype_key_value(keys, vals):
"""
Returns ctype arrays for the key-value args, and the whether string keys are used.
For internal use only.
"""
if isinstance(keys, (tuple, list)):
assert(len(keys) == len(vals))
c_keys = []
c_vals = []
use_str_keys = None
for key, val in zip(keys, vals):
c_key_i, c_val_i, str_keys_i = _ctype_key_value(key, val)
c_keys += c_key_i
c_vals += c_val_i
use_str_keys = str_keys_i if use_str_keys is None else use_str_keys
assert(use_str_keys == str_keys_i), "inconsistent types of keys detected."
c_keys_arr = c_array(ctypes.c_char_p, c_keys) if use_str_keys \
else c_array(ctypes.c_int, c_keys)
c_vals_arr = c_array(ctypes.c_void_p, c_vals)
return (c_keys_arr, c_vals_arr, use_str_keys)
assert(isinstance(keys, (int,) + string_types)), \
"unexpected type for keys: " + str(type(keys))
use_str_keys = isinstance(keys, string_types)
if isinstance(vals, NDArray):
c_keys = c_str_array([keys]) if use_str_keys \
else c_array_buf(ctypes.c_int, array('i', [keys]))
return (c_keys, c_handle_array([vals]), use_str_keys)
else:
for value in vals:
assert(isinstance(value, NDArray))
c_keys = c_str_array([keys] * len(vals)) if use_str_keys \
else c_array_buf(ctypes.c_int, array('i', [keys] * len(vals)))
return (c_keys, c_handle_array(vals), use_str_keys)
|
python
|
def _ctype_key_value(keys, vals):
"""
Returns ctype arrays for the key-value args, and the whether string keys are used.
For internal use only.
"""
if isinstance(keys, (tuple, list)):
assert(len(keys) == len(vals))
c_keys = []
c_vals = []
use_str_keys = None
for key, val in zip(keys, vals):
c_key_i, c_val_i, str_keys_i = _ctype_key_value(key, val)
c_keys += c_key_i
c_vals += c_val_i
use_str_keys = str_keys_i if use_str_keys is None else use_str_keys
assert(use_str_keys == str_keys_i), "inconsistent types of keys detected."
c_keys_arr = c_array(ctypes.c_char_p, c_keys) if use_str_keys \
else c_array(ctypes.c_int, c_keys)
c_vals_arr = c_array(ctypes.c_void_p, c_vals)
return (c_keys_arr, c_vals_arr, use_str_keys)
assert(isinstance(keys, (int,) + string_types)), \
"unexpected type for keys: " + str(type(keys))
use_str_keys = isinstance(keys, string_types)
if isinstance(vals, NDArray):
c_keys = c_str_array([keys]) if use_str_keys \
else c_array_buf(ctypes.c_int, array('i', [keys]))
return (c_keys, c_handle_array([vals]), use_str_keys)
else:
for value in vals:
assert(isinstance(value, NDArray))
c_keys = c_str_array([keys] * len(vals)) if use_str_keys \
else c_array_buf(ctypes.c_int, array('i', [keys] * len(vals)))
return (c_keys, c_handle_array(vals), use_str_keys)
|
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] |
Returns ctype arrays for the key-value args, and the whether string keys are used.
For internal use only.
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L33-L66
|
train
|
Returns ctype arrays for the key - value args and whether string keys are used.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(449 - 338) + chr(49) + chr(236 - 186) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2295 - 2244) + '\067' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(1818 - 1766) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(1811 - 1756), 24367 - 24359), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(49) + chr(50) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + '\061' + chr(0b110100) + chr(49), 46621 - 46613), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\065' + chr(0b100110 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(1792 - 1744) + chr(4703 - 4592) + '\062' + chr(48) + chr(0b110001 + 0o4), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\067' + chr(2316 - 2262), ord("\x08")), ehT0Px3KOsy9(chr(2255 - 2207) + chr(0b1100000 + 0o17) + '\x31' + chr(0b1100 + 0o53) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(0b110010) + '\x34' + '\062', 55458 - 55450), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\x34', 28201 - 28193), ehT0Px3KOsy9(chr(596 - 548) + '\157' + chr(1077 - 1028) + chr(0b110101) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(0b110100) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(5823 - 5712) + chr(0b110010) + chr(53), 0b1000), ehT0Px3KOsy9(chr(1271 - 1223) + '\157' + '\x32' + '\x36' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1588 - 1540) + '\157' + chr(51) + '\x37' + chr(2037 - 1984), 56570 - 56562), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + '\x37' + '\x36', 8), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b110100) + '\x36', 36184 - 36176), ehT0Px3KOsy9(chr(1729 - 1681) + chr(0b1110 + 0o141) + '\062' + chr(631 - 577) + chr(0b11011 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\x35' + '\067', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(733 - 683) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5702 - 5591) + chr(51) + chr(48) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(50) + chr(2703 - 2650) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110111) + chr(217 - 165), 0b1000), ehT0Px3KOsy9(chr(350 - 302) + chr(111) + chr(0b110011) + '\063' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(88 - 40) + '\x6f' + '\x33' + '\x32' + '\067', 0o10), ehT0Px3KOsy9(chr(86 - 38) + '\x6f' + chr(1710 - 1659) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(54) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(525 - 476) + '\062' + chr(0b110001), 53397 - 53389), ehT0Px3KOsy9(chr(1062 - 1014) + '\157' + chr(49) + chr(0b101100 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6071 - 5960) + chr(1453 - 1404) + '\066' + '\065', 0b1000), ehT0Px3KOsy9(chr(150 - 102) + '\157' + chr(51) + chr(776 - 721) + chr(51), 29533 - 29525), ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + chr(49) + chr(795 - 745) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + '\061' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(0b10011 + 0o40) + chr(0b110101) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(384 - 273) + chr(2818 - 2764), 0o10), ehT0Px3KOsy9(chr(1741 - 1693) + chr(111) + chr(174 - 124) + '\062' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + chr(52) + '\x31', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\066' + chr(0b110111), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1224 - 1176) + chr(0b1000111 + 0o50) + chr(623 - 570) + chr(499 - 451), 31717 - 31709)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'|'), '\x64' + '\145' + chr(296 - 197) + chr(111) + '\144' + chr(0b1100001 + 0o4))('\165' + chr(0b10110 + 0o136) + chr(0b10111 + 0o117) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def pMtNDO8rdaIk(w8H8C9ec5BO1, ipy0WJZo1Oft):
if PlSM16l2KDPD(w8H8C9ec5BO1, (KNyTy8rYcwji, YyaZ4tpXu4lf)):
assert c2A0yzQpDQB3(w8H8C9ec5BO1) == c2A0yzQpDQB3(ipy0WJZo1Oft)
m4UUIYKtOhT5 = []
zKze2jpEDE3n = []
SeIzFV6Gjvw6 = None
for (K3J4ZwSlE0sT, pQxH2D_k9sXQ) in pZ0NK2y6HRbn(w8H8C9ec5BO1, ipy0WJZo1Oft):
(eg4Dhn2_9Q5h, wNw0jKc8ubCq, EhNUWvQ41xMv) = pMtNDO8rdaIk(K3J4ZwSlE0sT, pQxH2D_k9sXQ)
m4UUIYKtOhT5 += eg4Dhn2_9Q5h
zKze2jpEDE3n += wNw0jKc8ubCq
SeIzFV6Gjvw6 = EhNUWvQ41xMv if SeIzFV6Gjvw6 is None else SeIzFV6Gjvw6
assert SeIzFV6Gjvw6 == EhNUWvQ41xMv, xafqLlk3kkUe(SXOLrMavuUCe(b';\x92\x00x;\x12\xc1\xf6\n\x1f\xcc`OWl\xc3\x98\r\xc6\xdb\t1\xa9\xc8\xc5\xab\xf7|\x15%i\x16\x8f4j\xc6'), '\144' + '\145' + chr(0b1010100 + 0o17) + chr(0b10110 + 0o131) + chr(0b110001 + 0o63) + chr(0b1001000 + 0o35))('\165' + chr(6674 - 6558) + chr(0b101111 + 0o67) + '\x2d' + '\070')
ECWKfQXtobq9 = eGLcYYYr5Dni(RyQ4N1viUrfz.c_char_p, m4UUIYKtOhT5) if SeIzFV6Gjvw6 else eGLcYYYr5Dni(RyQ4N1viUrfz.c_int, m4UUIYKtOhT5)
cLOUYN41Pxml = eGLcYYYr5Dni(RyQ4N1viUrfz.c_void_p, zKze2jpEDE3n)
return (ECWKfQXtobq9, cLOUYN41Pxml, SeIzFV6Gjvw6)
assert PlSM16l2KDPD(w8H8C9ec5BO1, (ehT0Px3KOsy9,) + sInLJQno9SRQ), xafqLlk3kkUe(SXOLrMavuUCe(b"'\x92\x06o%\x04\xcb\xf1\x1b\x1e\x82`\x16Sp\x93\x9b\x11\x94\x94\x04t\xbb\xde\x86\xf8"), chr(0b1100100) + chr(0b10111 + 0o116) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(1780 - 1679))(chr(117) + chr(116) + chr(1989 - 1887) + '\x2d' + '\x38') + M8_cKLkHVB2V(wmQmyeWBmUpv(w8H8C9ec5BO1))
SeIzFV6Gjvw6 = PlSM16l2KDPD(w8H8C9ec5BO1, sInLJQno9SRQ)
if PlSM16l2KDPD(ipy0WJZo1Oft, GdqFjMbtKL7s):
m4UUIYKtOhT5 = Ukszo3_Jz5eC([w8H8C9ec5BO1]) if SeIzFV6Gjvw6 else IWgIBOZX5BKJ(RyQ4N1viUrfz.c_int, B0ePDhpqxN5n(xafqLlk3kkUe(SXOLrMavuUCe(b';'), chr(0b10001 + 0o123) + chr(0b1100101) + '\143' + '\x6f' + chr(100) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(45) + '\x38'), [w8H8C9ec5BO1]))
return (m4UUIYKtOhT5, a5DvL4JgWdMi([ipy0WJZo1Oft]), SeIzFV6Gjvw6)
else:
for QmmgWUB13VCJ in ipy0WJZo1Oft:
assert PlSM16l2KDPD(QmmgWUB13VCJ, GdqFjMbtKL7s)
m4UUIYKtOhT5 = Ukszo3_Jz5eC([w8H8C9ec5BO1] * c2A0yzQpDQB3(ipy0WJZo1Oft)) if SeIzFV6Gjvw6 else IWgIBOZX5BKJ(RyQ4N1viUrfz.c_int, B0ePDhpqxN5n(xafqLlk3kkUe(SXOLrMavuUCe(b';'), chr(6109 - 6009) + chr(0b11110 + 0o107) + chr(0b1100011) + '\157' + chr(100) + '\x65')(chr(0b1110101) + '\164' + '\146' + chr(0b10111 + 0o26) + '\x38'), [w8H8C9ec5BO1] * c2A0yzQpDQB3(ipy0WJZo1Oft)))
return (m4UUIYKtOhT5, a5DvL4JgWdMi(ipy0WJZo1Oft), SeIzFV6Gjvw6)
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
_ctype_dict
|
def _ctype_dict(param_dict):
"""
Returns ctype arrays for keys and values(converted to strings) in a dictionary
"""
assert(isinstance(param_dict, dict)), \
"unexpected type for param_dict: " + str(type(param_dict))
c_keys = c_array(ctypes.c_char_p, [c_str(k) for k in param_dict.keys()])
c_vals = c_array(ctypes.c_char_p, [c_str(str(v)) for v in param_dict.values()])
return (c_keys, c_vals)
|
python
|
def _ctype_dict(param_dict):
"""
Returns ctype arrays for keys and values(converted to strings) in a dictionary
"""
assert(isinstance(param_dict, dict)), \
"unexpected type for param_dict: " + str(type(param_dict))
c_keys = c_array(ctypes.c_char_p, [c_str(k) for k in param_dict.keys()])
c_vals = c_array(ctypes.c_char_p, [c_str(str(v)) for v in param_dict.values()])
return (c_keys, c_vals)
|
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Returns ctype arrays for keys and values(converted to strings) in a dictionary
|
[
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L68-L76
|
train
|
Returns ctype arrays for keys and values in a dictionary
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1010111 + 0o30) + chr(53) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1416 - 1367), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b11101 + 0o25) + chr(48) + chr(0b1001 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(2087 - 2039) + chr(0b1101111) + chr(50) + chr(97 - 43) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b110010) + chr(0b101010 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2138 - 2089) + '\x31' + chr(0b110111), 3817 - 3809), ehT0Px3KOsy9(chr(48) + chr(3365 - 3254) + chr(50) + '\060' + chr(2248 - 2197), 23936 - 23928), ehT0Px3KOsy9('\060' + chr(111) + chr(2393 - 2339), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(50) + '\x36' + chr(2098 - 2049), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b11101 + 0o26) + '\061' + chr(979 - 924), 0b1000), ehT0Px3KOsy9(chr(1578 - 1530) + chr(111) + '\062' + '\x36' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + chr(49) + '\x36' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1010100 + 0o33) + chr(0b110000 + 0o3) + '\063' + chr(0b110001 + 0o5), 0b1000), ehT0Px3KOsy9('\060' + chr(7324 - 7213) + chr(763 - 714) + '\x33' + chr(0b110111), 42519 - 42511), ehT0Px3KOsy9(chr(48) + chr(7168 - 7057) + '\061' + '\x30' + '\063', 13525 - 13517), ehT0Px3KOsy9(chr(1904 - 1856) + '\157' + '\x32' + chr(48) + chr(48), 0o10), ehT0Px3KOsy9(chr(305 - 257) + chr(111) + chr(0b100010 + 0o20) + chr(261 - 207) + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(1118 - 1067) + chr(0b1011 + 0o50) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + '\063' + chr(50) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(870 - 822) + chr(5672 - 5561) + '\x33' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11110 + 0o25) + chr(48) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + chr(0b110001) + '\x34' + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\063' + '\067' + chr(0b110001), 58754 - 58746), ehT0Px3KOsy9('\x30' + chr(111) + chr(1692 - 1643) + '\067' + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001010 + 0o45) + chr(1987 - 1938) + '\x31' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b1100 + 0o47) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\063' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\066' + chr(0b110011), 3245 - 3237), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b100001 + 0o24) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + chr(51) + chr(55) + chr(2831 - 2776), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(958 - 909) + chr(0b110100) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(50) + chr(0b10011 + 0o44) + chr(152 - 101), 52763 - 52755), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000101 + 0o52) + '\061' + '\061' + '\063', 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(2320 - 2271) + chr(49) + '\x32', 45909 - 45901), ehT0Px3KOsy9(chr(48) + chr(6053 - 5942) + chr(0b10 + 0o61) + chr(1460 - 1407) + chr(1107 - 1057), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(417 - 369) + chr(0b1100 + 0o46), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010 + 0o1) + chr(0b101011 + 0o14) + '\x31', 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b101001 + 0o106) + chr(50) + '\064' + chr(0b1010 + 0o54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110111) + chr(0b110001), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1229 - 1181) + chr(111) + '\065' + chr(1830 - 1782), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x06'), chr(0b11 + 0o141) + '\145' + chr(0b1100011) + chr(111) + chr(5933 - 5833) + chr(101))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def PB5pz4xaOHUO(s1lQUFSQSjFT):
assert PlSM16l2KDPD(s1lQUFSQSjFT, wLqBDw8l0eIm), xafqLlk3kkUe(SXOLrMavuUCe(b']o\xe1\xce\xe5*\xe0r\xd4\xab\x93\x06\xa7/&\xa0\xd0\xb5\xa78\xb4\x04q\x98\x11\x11>\xb4\x10\x1f\xc5G'), chr(0b11101 + 0o107) + '\145' + '\143' + '\157' + '\x64' + chr(0b1100101))(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b111000)) + M8_cKLkHVB2V(wmQmyeWBmUpv(s1lQUFSQSjFT))
m4UUIYKtOhT5 = eGLcYYYr5Dni(RyQ4N1viUrfz.c_char_p, [ZYHUZuTony_e(OolUPRJhRaJd) for OolUPRJhRaJd in s1lQUFSQSjFT.keys()])
zKze2jpEDE3n = eGLcYYYr5Dni(RyQ4N1viUrfz.c_char_p, [ZYHUZuTony_e(M8_cKLkHVB2V(cMbll0QYhULo)) for cMbll0QYhULo in s1lQUFSQSjFT.SPnCNu54H1db()])
return (m4UUIYKtOhT5, zKze2jpEDE3n)
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
_updater_wrapper
|
def _updater_wrapper(updater):
"""A wrapper for the user-defined handle."""
def updater_handle(key, lhs_handle, rhs_handle, _):
""" ctypes function """
lhs = _ndarray_cls(NDArrayHandle(lhs_handle))
rhs = _ndarray_cls(NDArrayHandle(rhs_handle))
updater(key, lhs, rhs)
return updater_handle
|
python
|
def _updater_wrapper(updater):
"""A wrapper for the user-defined handle."""
def updater_handle(key, lhs_handle, rhs_handle, _):
""" ctypes function """
lhs = _ndarray_cls(NDArrayHandle(lhs_handle))
rhs = _ndarray_cls(NDArrayHandle(rhs_handle))
updater(key, lhs, rhs)
return updater_handle
|
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"_updater_wrapper",
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"updater",
")",
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"def",
"updater_handle",
"(",
"key",
",",
"lhs_handle",
",",
"rhs_handle",
",",
"_",
")",
":",
"\"\"\" ctypes function \"\"\"",
"lhs",
"=",
"_ndarray_cls",
"(",
"NDArrayHandle",
"(",
"lhs_handle",
")",
")",
"rhs",
"=",
"_ndarray_cls",
"(",
"NDArrayHandle",
"(",
"rhs_handle",
")",
")",
"updater",
"(",
"key",
",",
"lhs",
",",
"rhs",
")",
"return",
"updater_handle"
] |
A wrapper for the user-defined handle.
|
[
"A",
"wrapper",
"for",
"the",
"user",
"-",
"defined",
"handle",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L78-L85
|
train
|
A wrapper for the user - defined handle.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b110001) + chr(0b110101) + '\065', 504 - 496), ehT0Px3KOsy9(chr(0b110000) + chr(5374 - 5263) + '\x32' + chr(2578 - 2525) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b11101 + 0o31) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\062' + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b101110 + 0o11) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\x31' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b111 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\066' + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(1812 - 1761) + '\064', 64816 - 64808), ehT0Px3KOsy9(chr(1846 - 1798) + chr(2279 - 2168) + '\062' + chr(0b1000 + 0o53) + chr(1765 - 1713), 8), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + '\063' + chr(50) + chr(0b110110), 18169 - 18161), ehT0Px3KOsy9('\060' + '\157' + chr(0b1000 + 0o55) + chr(0b101000 + 0o17), 0b1000), ehT0Px3KOsy9(chr(610 - 562) + '\x6f' + '\x33' + chr(0b110110) + chr(0b1111 + 0o45), 7905 - 7897), ehT0Px3KOsy9(chr(48) + chr(10375 - 10264) + chr(552 - 502) + chr(50), 0b1000), ehT0Px3KOsy9(chr(2066 - 2018) + chr(111) + chr(1198 - 1148) + chr(0b110110) + '\067', 53381 - 53373), ehT0Px3KOsy9(chr(2017 - 1969) + chr(111) + chr(50) + '\x32' + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111100 + 0o63) + chr(53) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4530 - 4419) + chr(1917 - 1866) + chr(0b10100 + 0o41) + chr(2381 - 2328), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(51) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + '\x35' + chr(1077 - 1022), 8), ehT0Px3KOsy9('\x30' + '\157' + '\066', 11109 - 11101), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(50) + chr(0b11101 + 0o27), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(51), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(55) + chr(0b11000 + 0o32), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + '\063', 56839 - 56831), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000100 + 0o53) + chr(0b110001) + chr(617 - 566) + chr(51), 47450 - 47442), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + '\061' + '\060' + chr(0b110000 + 0o1), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1110 + 0o43) + chr(546 - 498) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(2236 - 2181), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(2329 - 2280) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101) + chr(48), 7559 - 7551), ehT0Px3KOsy9(chr(48) + chr(11927 - 11816) + chr(50) + '\x32' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b100100 + 0o113) + chr(2196 - 2144) + '\065', 30459 - 30451), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b111 + 0o52) + '\x37' + chr(2373 - 2322), 9985 - 9977), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b10101 + 0o42) + chr(2209 - 2158), 54503 - 54495), ehT0Px3KOsy9('\060' + chr(111) + chr(856 - 805) + '\065' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + '\x32' + chr(1467 - 1418) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\062' + chr(50), 8581 - 8573), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1067 - 1016) + chr(55) + chr(0b110110), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100000 + 0o25) + chr(1289 - 1241), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'C'), chr(0b1001 + 0o133) + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + chr(0b1010110 + 0o36) + '\x66' + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def PqDgi75a1n7m(xZ9ED1z8lews):
def BJ5BpUIVCvRD(K3J4ZwSlE0sT, nUjpaNoNGsbD, T4OOw_898cFe, VNGQdHSFPrso):
cuj9DsjDUyqP = i7ArCBVUNQA5(v4apgis0SrXp(nUjpaNoNGsbD))
TLyjFoww1L3N = i7ArCBVUNQA5(v4apgis0SrXp(T4OOw_898cFe))
xZ9ED1z8lews(K3J4ZwSlE0sT, cuj9DsjDUyqP, TLyjFoww1L3N)
return BJ5BpUIVCvRD
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
create
|
def create(name='local'):
"""Creates a new KVStore.
For single machine training, there are two commonly used types:
``local``: Copies all gradients to CPU memory and updates weights there.
``device``: Aggregates gradients and updates weights on GPUs. With this setting,
the KVStore also attempts to use GPU peer-to-peer communication,
potentially accelerating the communication.
For distributed training, KVStore also supports a number of types:
``dist_sync``: Behaves similarly to ``local`` but with one major difference.
With ``dist_sync``, batch-size now means the batch size used on each machine.
So if there are ``n`` machines and we use batch size ``b``,
then ``dist_sync`` behaves like ``local`` with batch size ``n * b``.
``dist_device_sync``: Identical to ``dist_sync`` with the difference similar
to ``device`` vs ``local``.
``dist_async``: Performs asynchronous updates.
The weights are updated whenever gradients are received from any machine.
No two updates happen on the same weight at the same time. However, the order is not
guaranteed.
Parameters
----------
name : {'local', 'device', 'nccl', 'dist_sync', 'dist_device_sync', 'dist_async'}
The type of KVStore.
Returns
-------
kv : KVStore
The created KVStore.
"""
if not isinstance(name, string_types):
raise TypeError('name must be a string')
handle = KVStoreHandle()
check_call(_LIB.MXKVStoreCreate(c_str(name),
ctypes.byref(handle)))
kv = KVStore(handle)
set_kvstore_handle(kv.handle)
return kv
|
python
|
def create(name='local'):
"""Creates a new KVStore.
For single machine training, there are two commonly used types:
``local``: Copies all gradients to CPU memory and updates weights there.
``device``: Aggregates gradients and updates weights on GPUs. With this setting,
the KVStore also attempts to use GPU peer-to-peer communication,
potentially accelerating the communication.
For distributed training, KVStore also supports a number of types:
``dist_sync``: Behaves similarly to ``local`` but with one major difference.
With ``dist_sync``, batch-size now means the batch size used on each machine.
So if there are ``n`` machines and we use batch size ``b``,
then ``dist_sync`` behaves like ``local`` with batch size ``n * b``.
``dist_device_sync``: Identical to ``dist_sync`` with the difference similar
to ``device`` vs ``local``.
``dist_async``: Performs asynchronous updates.
The weights are updated whenever gradients are received from any machine.
No two updates happen on the same weight at the same time. However, the order is not
guaranteed.
Parameters
----------
name : {'local', 'device', 'nccl', 'dist_sync', 'dist_device_sync', 'dist_async'}
The type of KVStore.
Returns
-------
kv : KVStore
The created KVStore.
"""
if not isinstance(name, string_types):
raise TypeError('name must be a string')
handle = KVStoreHandle()
check_call(_LIB.MXKVStoreCreate(c_str(name),
ctypes.byref(handle)))
kv = KVStore(handle)
set_kvstore_handle(kv.handle)
return kv
|
[
"def",
"create",
"(",
"name",
"=",
"'local'",
")",
":",
"if",
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"isinstance",
"(",
"name",
",",
"string_types",
")",
":",
"raise",
"TypeError",
"(",
"'name must be a string'",
")",
"handle",
"=",
"KVStoreHandle",
"(",
")",
"check_call",
"(",
"_LIB",
".",
"MXKVStoreCreate",
"(",
"c_str",
"(",
"name",
")",
",",
"ctypes",
".",
"byref",
"(",
"handle",
")",
")",
")",
"kv",
"=",
"KVStore",
"(",
"handle",
")",
"set_kvstore_handle",
"(",
"kv",
".",
"handle",
")",
"return",
"kv"
] |
Creates a new KVStore.
For single machine training, there are two commonly used types:
``local``: Copies all gradients to CPU memory and updates weights there.
``device``: Aggregates gradients and updates weights on GPUs. With this setting,
the KVStore also attempts to use GPU peer-to-peer communication,
potentially accelerating the communication.
For distributed training, KVStore also supports a number of types:
``dist_sync``: Behaves similarly to ``local`` but with one major difference.
With ``dist_sync``, batch-size now means the batch size used on each machine.
So if there are ``n`` machines and we use batch size ``b``,
then ``dist_sync`` behaves like ``local`` with batch size ``n * b``.
``dist_device_sync``: Identical to ``dist_sync`` with the difference similar
to ``device`` vs ``local``.
``dist_async``: Performs asynchronous updates.
The weights are updated whenever gradients are received from any machine.
No two updates happen on the same weight at the same time. However, the order is not
guaranteed.
Parameters
----------
name : {'local', 'device', 'nccl', 'dist_sync', 'dist_device_sync', 'dist_async'}
The type of KVStore.
Returns
-------
kv : KVStore
The created KVStore.
|
[
"Creates",
"a",
"new",
"KVStore",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L635-L677
|
train
|
Creates a new KVStore.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1425 - 1377) + chr(0b1011111 + 0o20) + '\063' + chr(0b110100 + 0o0) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\067' + chr(0b110101 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(732 - 621) + '\064' + chr(0b110100), 3018 - 3010), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1764 - 1713) + chr(0b10000 + 0o46), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2159 - 2048) + chr(2205 - 2156) + chr(55) + chr(1806 - 1751), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101001 + 0o10) + chr(1508 - 1455), 14014 - 14006), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b110000 + 0o77) + chr(963 - 913) + chr(0b110100) + '\067', 0b1000), ehT0Px3KOsy9(chr(852 - 804) + chr(0b1101111) + chr(0b10000 + 0o41) + chr(50) + chr(51), 57385 - 57377), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10011 + 0o36) + chr(0b110000) + chr(0b110011 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5942 - 5831) + chr(50) + '\061' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1049 - 1001) + chr(0b1101111) + chr(0b110001) + '\067', 30010 - 30002), ehT0Px3KOsy9(chr(392 - 344) + chr(0b1101111) + '\x34' + chr(1007 - 957), 40567 - 40559), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x34' + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1011 + 0o54) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(50) + chr(52) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10001 + 0o40) + chr(2293 - 2239) + chr(0b110111), 51284 - 51276), ehT0Px3KOsy9(chr(1683 - 1635) + '\x6f' + chr(0b11001 + 0o31) + chr(1525 - 1476) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6341 - 6230) + '\063' + chr(0b110011) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(0b110001) + chr(2610 - 2558) + '\x33', 56877 - 56869), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + '\x31' + chr(0b110001) + chr(1800 - 1750), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(525 - 476) + '\067', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1000 + 0o53) + chr(49) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + '\x31' + chr(49) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11280 - 11169) + chr(0b110110) + '\x33', 6102 - 6094), ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + '\x31' + chr(51) + chr(0b10010 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(0b1111 + 0o42) + chr(0b11001 + 0o31) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101101 + 0o3), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(50) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100 + 0o57) + chr(54) + chr(1702 - 1651), 0o10), ehT0Px3KOsy9(chr(126 - 78) + chr(3662 - 3551) + chr(0b101111 + 0o2) + chr(607 - 559) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(2025 - 1977) + chr(111) + '\x32' + '\067' + chr(0b110 + 0o56), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b110010) + chr(54) + '\062', 24629 - 24621), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\065' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8579 - 8468) + chr(0b10101 + 0o40) + chr(0b110010 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101110 + 0o1) + '\x34' + chr(55), 61273 - 61265), ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(0b11111 + 0o22) + chr(0b100010 + 0o21) + chr(2368 - 2313), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(870 - 821) + chr(0b110001) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1000 + 0o53) + chr(2110 - 2058) + '\061', 58450 - 58442), ehT0Px3KOsy9(chr(1059 - 1011) + chr(0b1100100 + 0o13) + chr(2587 - 2534), 33785 - 33777), ehT0Px3KOsy9(chr(1426 - 1378) + chr(111) + chr(0b110000 + 0o1) + '\x33' + chr(0b100101 + 0o17), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(53) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb'), chr(3007 - 2907) + chr(5502 - 5401) + '\x63' + chr(0b1011001 + 0o26) + chr(0b1100100) + chr(0b100101 + 0o100))(chr(0b1110101) + chr(3739 - 3623) + chr(2355 - 2253) + chr(0b1001 + 0o44) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zXm8hKpI6bmL(AIvJRzLdDfgF=xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\x92G\x7f\x13'), chr(0b111011 + 0o51) + chr(0b111110 + 0o47) + '\x63' + chr(11713 - 11602) + chr(3396 - 3296) + '\x65')(chr(0b1110101) + '\164' + chr(102) + chr(1522 - 1477) + chr(56))):
if not PlSM16l2KDPD(AIvJRzLdDfgF, sInLJQno9SRQ):
raise sznFqDbNBHlx(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x9cI{_`\xd2 3\xaamG\x00\\\x82\x04\xfa\xac\n$h'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\x64' + chr(101))('\165' + chr(684 - 568) + chr(0b1100110) + chr(45) + chr(56)))
SxTuMqFZdzZx = QoHNNahVi49C()
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\xa5oH,y\xc8!"\xc9}GAI\xc7'), '\144' + '\x65' + chr(0b11111 + 0o104) + '\x6f' + '\144' + chr(0b10001 + 0o124))('\165' + chr(0b1110100) + chr(5829 - 5727) + chr(1660 - 1615) + '\070'))(ZYHUZuTony_e(AIvJRzLdDfgF), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x87\x84V{\x19'), '\144' + chr(0b11101 + 0o110) + chr(5764 - 5665) + chr(0b10001 + 0o136) + chr(3558 - 3458) + '\145')('\x75' + chr(116) + chr(851 - 749) + '\055' + '\x38'))(SxTuMqFZdzZx)))
oG9AO0uxBJ0V = bnoT7gWImZ2l(SxTuMqFZdzZx)
YBByaDjwqkeE(xafqLlk3kkUe(oG9AO0uxBJ0V, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6\x85pk2|\xe1\t#\xf0UZ'), chr(0b1100100) + chr(3923 - 3822) + chr(0b110100 + 0o57) + chr(0b1101111 + 0o0) + chr(100) + '\x65')('\x75' + '\164' + chr(0b10110 + 0o120) + chr(45) + '\x38')))
return oG9AO0uxBJ0V
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
KVStore.init
|
def init(self, key, value):
""" Initializes a single or a sequence of key-value pairs into the store.
For each key, one must `init` it before calling `push` or `pull`.
When multiple workers invoke `init` for the same key, only
the value supplied by worker with rank `0` is used. This function returns
after data has been initialized successfully.
Parameters
----------
key : str, int, or sequence of str or int
The keys.
value : NDArray, RowSparseNDArray or sequence of NDArray or RowSparseNDArray
Values corresponding to the keys.
Examples
--------
>>> # init a single key-value pair
>>> shape = (2,3)
>>> kv = mx.kv.create('local')
>>> kv.init('3', mx.nd.ones(shape)*2)
>>> a = mx.nd.zeros(shape)
>>> kv.pull('3', out=a)
>>> print a.asnumpy()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
>>> # init a list of key-value pairs
>>> keys = ['5', '7', '9']
>>> kv.init(keys, [mx.nd.ones(shape)]*len(keys))
>>> # init a row_sparse value
>>> kv.init('4', mx.nd.ones(shape).tostype('row_sparse'))
>>> b = mx.nd.sparse.zeros('row_sparse', shape)
>>> kv.row_sparse_pull('4', row_ids=mx.nd.array([0, 1]), out=b)
>>> print b
<RowSparseNDArray 2x3 @cpu(0)>
"""
ckeys, cvals, use_str_keys = _ctype_key_value(key, value)
if use_str_keys:
check_call(_LIB.MXKVStoreInitEx(self.handle, mx_uint(len(ckeys)), ckeys, cvals))
else:
check_call(_LIB.MXKVStoreInit(self.handle, mx_uint(len(ckeys)), ckeys, cvals))
|
python
|
def init(self, key, value):
""" Initializes a single or a sequence of key-value pairs into the store.
For each key, one must `init` it before calling `push` or `pull`.
When multiple workers invoke `init` for the same key, only
the value supplied by worker with rank `0` is used. This function returns
after data has been initialized successfully.
Parameters
----------
key : str, int, or sequence of str or int
The keys.
value : NDArray, RowSparseNDArray or sequence of NDArray or RowSparseNDArray
Values corresponding to the keys.
Examples
--------
>>> # init a single key-value pair
>>> shape = (2,3)
>>> kv = mx.kv.create('local')
>>> kv.init('3', mx.nd.ones(shape)*2)
>>> a = mx.nd.zeros(shape)
>>> kv.pull('3', out=a)
>>> print a.asnumpy()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
>>> # init a list of key-value pairs
>>> keys = ['5', '7', '9']
>>> kv.init(keys, [mx.nd.ones(shape)]*len(keys))
>>> # init a row_sparse value
>>> kv.init('4', mx.nd.ones(shape).tostype('row_sparse'))
>>> b = mx.nd.sparse.zeros('row_sparse', shape)
>>> kv.row_sparse_pull('4', row_ids=mx.nd.array([0, 1]), out=b)
>>> print b
<RowSparseNDArray 2x3 @cpu(0)>
"""
ckeys, cvals, use_str_keys = _ctype_key_value(key, value)
if use_str_keys:
check_call(_LIB.MXKVStoreInitEx(self.handle, mx_uint(len(ckeys)), ckeys, cvals))
else:
check_call(_LIB.MXKVStoreInit(self.handle, mx_uint(len(ckeys)), ckeys, cvals))
|
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] |
Initializes a single or a sequence of key-value pairs into the store.
For each key, one must `init` it before calling `push` or `pull`.
When multiple workers invoke `init` for the same key, only
the value supplied by worker with rank `0` is used. This function returns
after data has been initialized successfully.
Parameters
----------
key : str, int, or sequence of str or int
The keys.
value : NDArray, RowSparseNDArray or sequence of NDArray or RowSparseNDArray
Values corresponding to the keys.
Examples
--------
>>> # init a single key-value pair
>>> shape = (2,3)
>>> kv = mx.kv.create('local')
>>> kv.init('3', mx.nd.ones(shape)*2)
>>> a = mx.nd.zeros(shape)
>>> kv.pull('3', out=a)
>>> print a.asnumpy()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
>>> # init a list of key-value pairs
>>> keys = ['5', '7', '9']
>>> kv.init(keys, [mx.nd.ones(shape)]*len(keys))
>>> # init a row_sparse value
>>> kv.init('4', mx.nd.ones(shape).tostype('row_sparse'))
>>> b = mx.nd.sparse.zeros('row_sparse', shape)
>>> kv.row_sparse_pull('4', row_ids=mx.nd.array([0, 1]), out=b)
>>> print b
<RowSparseNDArray 2x3 @cpu(0)>
|
[
"Initializes",
"a",
"single",
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"sequence",
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"key",
"-",
"value",
"pairs",
"into",
"the",
"store",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L116-L158
|
train
|
Initializes a single or a sequence of key - value pairs into the store.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b1110 + 0o44) + '\062' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(882 - 833), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(0b101111 + 0o4) + chr(1007 - 952) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + chr(0b110011) + chr(51) + chr(50), 18132 - 18124), ehT0Px3KOsy9(chr(1159 - 1111) + chr(0b1110 + 0o141) + chr(50) + chr(0b10000 + 0o43) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11011 + 0o124) + chr(50) + '\060' + chr(2333 - 2278), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1196 - 1143), 0o10), ehT0Px3KOsy9(chr(696 - 648) + chr(10958 - 10847) + '\061' + chr(153 - 98) + chr(2229 - 2176), 25794 - 25786), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(1341 - 1293) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2883 - 2772) + chr(0b110101) + chr(0b101111 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3963 - 3852) + chr(50) + chr(0b110 + 0o53) + '\061', 0b1000), ehT0Px3KOsy9(chr(664 - 616) + '\157' + '\x33' + chr(50) + chr(414 - 362), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11001 + 0o32) + chr(0b1011 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100000 + 0o17) + chr(1217 - 1168) + '\067' + chr(0b10100 + 0o35), 27134 - 27126), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11101 + 0o25) + chr(50) + chr(50), 0b1000), ehT0Px3KOsy9(chr(996 - 948) + chr(2192 - 2081) + chr(49) + chr(2381 - 2330) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(843 - 732) + '\061' + '\x37' + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + chr(0b1101000 + 0o7) + '\x33' + chr(2209 - 2159) + chr(461 - 410), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1100 + 0o53) + chr(0b110 + 0o53), 0b1000), ehT0Px3KOsy9(chr(808 - 760) + chr(490 - 379) + '\063' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\061' + chr(385 - 331) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(647 - 598) + chr(0b100110 + 0o13) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(51) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1940 - 1829) + chr(49) + '\067' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(50) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1 + 0o60) + '\063' + chr(0b11110 + 0o26), 0b1000), ehT0Px3KOsy9(chr(1189 - 1141) + chr(4694 - 4583) + '\x32' + '\060' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2363 - 2309) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2049 - 1998) + chr(52) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110111) + chr(0b101000 + 0o13), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101 + 0o57) + chr(0b10011 + 0o35), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b100110 + 0o14) + '\060' + chr(502 - 452), 6841 - 6833), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1753 - 1703) + chr(0b100000 + 0o27) + chr(0b11101 + 0o27), 13340 - 13332), ehT0Px3KOsy9(chr(1990 - 1942) + '\157' + chr(0b10000 + 0o47) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101100 + 0o3) + '\x31' + '\x34' + '\060', 0o10), ehT0Px3KOsy9(chr(1138 - 1090) + '\157' + chr(1674 - 1620), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2142 - 2092) + chr(1799 - 1746) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + chr(0b110010) + chr(0b110011) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + chr(336 - 285) + chr(0b101110 + 0o5) + chr(1365 - 1312), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100111 + 0o14) + '\x34' + '\x34', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(3335 - 3224) + chr(0b10001 + 0o44) + chr(0b10100 + 0o34), 42642 - 42634)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe'), chr(0b1000110 + 0o36) + chr(2053 - 1952) + chr(0b1100011) + chr(3458 - 3347) + '\144' + '\145')(chr(117) + chr(116) + '\146' + '\055' + chr(0b10010 + 0o46)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def A5GIpkDsgP4U(oVre8I6UXc3b, K3J4ZwSlE0sT, QmmgWUB13VCJ):
(sVuJaaC3JDtY, yBHXte6NBuav, SeIzFV6Gjvw6) = pMtNDO8rdaIk(K3J4ZwSlE0sT, QmmgWUB13VCJ)
if SeIzFV6Gjvw6:
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xddY\xb6\x8c\xcf\xf3j\x0f\xa2f\xe7\xbdm<\xea'), '\144' + chr(4560 - 4459) + '\x63' + chr(5941 - 5830) + chr(100) + chr(101))(chr(0b1100101 + 0o20) + '\x74' + chr(102) + chr(1946 - 1901) + chr(2248 - 2192)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc3y\xa9\xaf\xd1\xf6C'\xa3U\xd3\xac"), chr(2881 - 2781) + '\x65' + '\143' + chr(0b11011 + 0o124) + chr(0b1010110 + 0o16) + chr(0b1000 + 0o135))('\165' + '\x74' + '\146' + chr(202 - 157) + '\070')), RSEUJ_H3k51M(c2A0yzQpDQB3(sVuJaaC3JDtY)), sVuJaaC3JDtY, yBHXte6NBuav))
else:
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xddY\xb6\x8c\xcf\xf3j\x0f\xa2f\xe7\xbdm'), chr(100) + chr(101) + '\143' + '\x6f' + '\x64' + chr(101))(chr(117) + chr(116) + chr(0b1100110) + '\x2d' + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc3y\xa9\xaf\xd1\xf6C'\xa3U\xd3\xac"), '\144' + '\145' + chr(3228 - 3129) + '\x6f' + chr(0b1001100 + 0o30) + '\145')(chr(0b1001101 + 0o50) + chr(0b1110100) + '\x66' + '\055' + '\x38')), RSEUJ_H3k51M(c2A0yzQpDQB3(sVuJaaC3JDtY)), sVuJaaC3JDtY, yBHXte6NBuav))
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
KVStore.push
|
def push(self, key, value, priority=0):
""" Pushes a single or a sequence of key-value pairs into the store.
This function returns immediately after adding an operator to the engine.
The actual operation is executed asynchronously. If there are consecutive
pushes to the same key, there is no guarantee on the serialization of pushes.
The execution of a push does not guarantee that all previous pushes are
finished.
There is no synchronization between workers.
One can use ``_barrier()`` to sync all workers.
Parameters
----------
key : str, int, or sequence of str or int
Keys.
value : NDArray, RowSparseNDArray, list of NDArray or RowSparseNDArray,
or list of list of NDArray or RowSparseNDArray
Values corresponding to the keys.
priority : int, optional
The priority of the push operation.
Higher priority push operations are likely to be executed before
other push actions.
Examples
--------
>>> # push a single key-value pair
>>> kv.push('3', mx.nd.ones(shape)*8)
>>> kv.pull('3', out=a) # pull out the value
>>> print a.asnumpy()
[[ 8. 8. 8.]
[ 8. 8. 8.]]
>>> # aggregate the value and the push
>>> gpus = [mx.gpu(i) for i in range(4)]
>>> b = [mx.nd.ones(shape, gpu) for gpu in gpus]
>>> kv.push('3', b)
>>> kv.pull('3', out=a)
>>> print a.asnumpy()
[[ 4. 4. 4.]
[ 4. 4. 4.]]
>>> # push a list of keys.
>>> # single device
>>> keys = ['4', '5', '6']
>>> kv.push(keys, [mx.nd.ones(shape)]*len(keys))
>>> b = [mx.nd.zeros(shape)]*len(keys)
>>> kv.pull(keys, out=b)
>>> print b[1].asnumpy()
[[ 1. 1. 1.]
[ 1. 1. 1.]]
>>> # multiple devices:
>>> keys = ['7', '8', '9']
>>> b = [[mx.nd.ones(shape, gpu) for gpu in gpus]] * len(keys)
>>> kv.push(keys, b)
>>> kv.pull(keys, out=b)
>>> print b[1][1].asnumpy()
[[ 4. 4. 4.]
[ 4. 4. 4.]]
>>> # push a row_sparse value
>>> b = mx.nd.sparse.zeros('row_sparse', shape)
>>> kv.init('10', mx.nd.sparse.zeros('row_sparse', shape))
>>> kv.push('10', mx.nd.ones(shape).tostype('row_sparse'))
>>> # pull out the value
>>> kv.row_sparse_pull('10', row_ids=mx.nd.array([0, 1]), out=b)
>>> print b
<RowSparseNDArray 2x3 @cpu(0)>
"""
ckeys, cvals, use_str_keys = _ctype_key_value(key, value)
if use_str_keys:
check_call(_LIB.MXKVStorePushEx(
self.handle, mx_uint(len(ckeys)), ckeys, cvals, ctypes.c_int(priority)))
else:
check_call(_LIB.MXKVStorePush(
self.handle, mx_uint(len(ckeys)), ckeys, cvals, ctypes.c_int(priority)))
|
python
|
def push(self, key, value, priority=0):
""" Pushes a single or a sequence of key-value pairs into the store.
This function returns immediately after adding an operator to the engine.
The actual operation is executed asynchronously. If there are consecutive
pushes to the same key, there is no guarantee on the serialization of pushes.
The execution of a push does not guarantee that all previous pushes are
finished.
There is no synchronization between workers.
One can use ``_barrier()`` to sync all workers.
Parameters
----------
key : str, int, or sequence of str or int
Keys.
value : NDArray, RowSparseNDArray, list of NDArray or RowSparseNDArray,
or list of list of NDArray or RowSparseNDArray
Values corresponding to the keys.
priority : int, optional
The priority of the push operation.
Higher priority push operations are likely to be executed before
other push actions.
Examples
--------
>>> # push a single key-value pair
>>> kv.push('3', mx.nd.ones(shape)*8)
>>> kv.pull('3', out=a) # pull out the value
>>> print a.asnumpy()
[[ 8. 8. 8.]
[ 8. 8. 8.]]
>>> # aggregate the value and the push
>>> gpus = [mx.gpu(i) for i in range(4)]
>>> b = [mx.nd.ones(shape, gpu) for gpu in gpus]
>>> kv.push('3', b)
>>> kv.pull('3', out=a)
>>> print a.asnumpy()
[[ 4. 4. 4.]
[ 4. 4. 4.]]
>>> # push a list of keys.
>>> # single device
>>> keys = ['4', '5', '6']
>>> kv.push(keys, [mx.nd.ones(shape)]*len(keys))
>>> b = [mx.nd.zeros(shape)]*len(keys)
>>> kv.pull(keys, out=b)
>>> print b[1].asnumpy()
[[ 1. 1. 1.]
[ 1. 1. 1.]]
>>> # multiple devices:
>>> keys = ['7', '8', '9']
>>> b = [[mx.nd.ones(shape, gpu) for gpu in gpus]] * len(keys)
>>> kv.push(keys, b)
>>> kv.pull(keys, out=b)
>>> print b[1][1].asnumpy()
[[ 4. 4. 4.]
[ 4. 4. 4.]]
>>> # push a row_sparse value
>>> b = mx.nd.sparse.zeros('row_sparse', shape)
>>> kv.init('10', mx.nd.sparse.zeros('row_sparse', shape))
>>> kv.push('10', mx.nd.ones(shape).tostype('row_sparse'))
>>> # pull out the value
>>> kv.row_sparse_pull('10', row_ids=mx.nd.array([0, 1]), out=b)
>>> print b
<RowSparseNDArray 2x3 @cpu(0)>
"""
ckeys, cvals, use_str_keys = _ctype_key_value(key, value)
if use_str_keys:
check_call(_LIB.MXKVStorePushEx(
self.handle, mx_uint(len(ckeys)), ckeys, cvals, ctypes.c_int(priority)))
else:
check_call(_LIB.MXKVStorePush(
self.handle, mx_uint(len(ckeys)), ckeys, cvals, ctypes.c_int(priority)))
|
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] |
Pushes a single or a sequence of key-value pairs into the store.
This function returns immediately after adding an operator to the engine.
The actual operation is executed asynchronously. If there are consecutive
pushes to the same key, there is no guarantee on the serialization of pushes.
The execution of a push does not guarantee that all previous pushes are
finished.
There is no synchronization between workers.
One can use ``_barrier()`` to sync all workers.
Parameters
----------
key : str, int, or sequence of str or int
Keys.
value : NDArray, RowSparseNDArray, list of NDArray or RowSparseNDArray,
or list of list of NDArray or RowSparseNDArray
Values corresponding to the keys.
priority : int, optional
The priority of the push operation.
Higher priority push operations are likely to be executed before
other push actions.
Examples
--------
>>> # push a single key-value pair
>>> kv.push('3', mx.nd.ones(shape)*8)
>>> kv.pull('3', out=a) # pull out the value
>>> print a.asnumpy()
[[ 8. 8. 8.]
[ 8. 8. 8.]]
>>> # aggregate the value and the push
>>> gpus = [mx.gpu(i) for i in range(4)]
>>> b = [mx.nd.ones(shape, gpu) for gpu in gpus]
>>> kv.push('3', b)
>>> kv.pull('3', out=a)
>>> print a.asnumpy()
[[ 4. 4. 4.]
[ 4. 4. 4.]]
>>> # push a list of keys.
>>> # single device
>>> keys = ['4', '5', '6']
>>> kv.push(keys, [mx.nd.ones(shape)]*len(keys))
>>> b = [mx.nd.zeros(shape)]*len(keys)
>>> kv.pull(keys, out=b)
>>> print b[1].asnumpy()
[[ 1. 1. 1.]
[ 1. 1. 1.]]
>>> # multiple devices:
>>> keys = ['7', '8', '9']
>>> b = [[mx.nd.ones(shape, gpu) for gpu in gpus]] * len(keys)
>>> kv.push(keys, b)
>>> kv.pull(keys, out=b)
>>> print b[1][1].asnumpy()
[[ 4. 4. 4.]
[ 4. 4. 4.]]
>>> # push a row_sparse value
>>> b = mx.nd.sparse.zeros('row_sparse', shape)
>>> kv.init('10', mx.nd.sparse.zeros('row_sparse', shape))
>>> kv.push('10', mx.nd.ones(shape).tostype('row_sparse'))
>>> # pull out the value
>>> kv.row_sparse_pull('10', row_ids=mx.nd.array([0, 1]), out=b)
>>> print b
<RowSparseNDArray 2x3 @cpu(0)>
|
[
"Pushes",
"a",
"single",
"or",
"a",
"sequence",
"of",
"key",
"-",
"value",
"pairs",
"into",
"the",
"store",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L160-L237
|
train
|
Pushes a single or a sequence of key - value pairs into the store.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(142 - 94) + chr(0b1101111) + chr(49) + chr(2153 - 2105) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b100010 + 0o115) + chr(0b110001) + chr(53) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1968 - 1920) + '\157' + chr(198 - 147) + '\066' + chr(49), 18499 - 18491), ehT0Px3KOsy9('\060' + chr(2695 - 2584) + chr(0b110110) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(612 - 561) + chr(0b110000) + '\067', 0b1000), ehT0Px3KOsy9(chr(1055 - 1007) + chr(0b1101111) + chr(0b11011 + 0o30) + chr(51) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2286 - 2236) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(11572 - 11461) + chr(0b110001) + '\x31' + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(335 - 284) + '\064' + chr(0b1001 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b110000) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110101) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(484 - 436) + chr(0b100101 + 0o112) + chr(51) + chr(0b100100 + 0o22) + chr(0b101001 + 0o12), 9094 - 9086), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\064' + chr(2654 - 2599), 21846 - 21838), ehT0Px3KOsy9(chr(2170 - 2122) + chr(0b10111 + 0o130) + chr(53) + '\062', 47797 - 47789), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1110 + 0o43) + '\x37' + '\x30', 33273 - 33265), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(2399 - 2350) + chr(2064 - 2013) + chr(0b1011 + 0o54), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x35' + '\x31', 9838 - 9830), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1001 + 0o52) + '\066' + chr(0b110100 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(50) + '\x31' + chr(602 - 550), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b100101 + 0o17) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + chr(0b110001) + '\x33' + chr(1397 - 1347), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000011 + 0o54) + '\x36' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5358 - 5247) + chr(0b110010) + '\x30' + '\062', 0o10), ehT0Px3KOsy9(chr(460 - 412) + chr(0b10110 + 0o131) + chr(0b101 + 0o56) + chr(0b110000) + chr(0b1000 + 0o57), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001010 + 0o45) + chr(0b110101) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10010 + 0o41) + chr(0b110100) + chr(0b10000 + 0o47), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110100) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(55), 8), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1001011 + 0o44) + chr(49) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10001 + 0o40) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(2244 - 2196) + chr(111) + '\065' + chr(444 - 395), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(2994 - 2939), 12753 - 12745), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(1913 - 1865), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(527 - 476) + '\x30' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10111 + 0o130) + chr(539 - 489) + chr(52) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b100101 + 0o16), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(55) + chr(2683 - 2629), 5012 - 5004), ehT0Px3KOsy9(chr(48) + chr(6194 - 6083) + chr(0b110010) + chr(2087 - 2034) + chr(49), 43906 - 43898), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + chr(0b101011 + 0o5), 22320 - 22312)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b110101) + chr(1461 - 1413), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'o'), '\x64' + chr(101) + chr(0b1100011) + chr(11583 - 11472) + chr(9208 - 9108) + chr(0b1100101))(chr(10056 - 9939) + '\164' + chr(0b1001101 + 0o31) + chr(63 - 18) + chr(0b110000 + 0o10)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def opagoXfU6V3A(oVre8I6UXc3b, K3J4ZwSlE0sT, QmmgWUB13VCJ, EAfD58UxJAJu=ehT0Px3KOsy9(chr(840 - 792) + '\x6f' + chr(48), 0b1000)):
(sVuJaaC3JDtY, yBHXte6NBuav, SeIzFV6Gjvw6) = pMtNDO8rdaIk(K3J4ZwSlE0sT, QmmgWUB13VCJ)
if SeIzFV6Gjvw6:
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c5\xbab\x94\xaeje.\xb75\xdb\x9b"R'), chr(0b1100100) + chr(6103 - 6002) + chr(0b1001001 + 0o32) + '\157' + chr(0b1001000 + 0o34) + chr(1093 - 992))(chr(117) + chr(1406 - 1290) + chr(0b1100110) + chr(0b101101) + chr(1424 - 1368)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12\x15\xa5A\x8a\xabCM/\x9d\x1a\xd0'), chr(0b1100100) + chr(0b1100101) + chr(0b10010 + 0o121) + chr(0b10 + 0o155) + chr(0b1100100) + chr(1527 - 1426))(chr(117) + chr(0b1011100 + 0o30) + chr(102) + '\055' + chr(0b110 + 0o62))), RSEUJ_H3k51M(c2A0yzQpDQB3(sVuJaaC3JDtY)), sVuJaaC3JDtY, yBHXte6NBuav, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'"2\x98Z\xb3'), '\144' + chr(101) + '\x63' + '\x6f' + '\144' + '\x65')(chr(117) + chr(0b1110100) + '\x66' + chr(45) + chr(56)))(EAfD58UxJAJu)))
else:
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c5\xbab\x94\xaeje.\xb75\xdb\x9b'), chr(0b1010000 + 0o24) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(9090 - 8990) + '\145')('\165' + chr(116) + chr(0b1100110) + '\x2d' + chr(2204 - 2148)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12\x15\xa5A\x8a\xabCM/\x9d\x1a\xd0'), chr(0b1010010 + 0o22) + chr(101) + '\143' + chr(0b101001 + 0o106) + chr(8007 - 7907) + chr(0b1100101))('\x75' + chr(0b100010 + 0o122) + chr(102) + chr(45) + '\x38')), RSEUJ_H3k51M(c2A0yzQpDQB3(sVuJaaC3JDtY)), sVuJaaC3JDtY, yBHXte6NBuav, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'"2\x98Z\xb3'), chr(100) + chr(741 - 640) + chr(0b11010 + 0o111) + chr(0b1100011 + 0o14) + '\144' + '\145')(chr(0b101011 + 0o112) + '\164' + '\146' + '\055' + '\070'))(EAfD58UxJAJu)))
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
KVStore.pull
|
def pull(self, key, out=None, priority=0, ignore_sparse=True):
""" Pulls a single value or a sequence of values from the store.
This function returns immediately after adding an operator to the engine.
Subsequent attempts to read from the `out` variable will be blocked until the
pull operation completes.
`pull` is executed asynchronously after all previous `pull` calls and only
the last `push` call for the same input key(s) are finished.
The returned values are guaranteed to be the latest values in the store.
pull with `RowSparseNDArray` is not supported for dist kvstore.
Please use ``row_sparse_pull`` instead.
Parameters
----------
key : str, int, or sequence of str or int
Keys.
out: NDArray or list of NDArray or list of list of NDArray
Values corresponding to the keys.
priority : int, optional
The priority of the pull operation.
Higher priority pull operations are likely to be executed before
other pull actions.
ignore_sparse: bool, optional, default True
Whether to ignore sparse arrays in the request.
Examples
--------
>>> # pull a single key-value pair
>>> a = mx.nd.zeros(shape)
>>> kv.pull('3', out=a)
>>> print a.asnumpy()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
>>> # pull into multiple devices
>>> b = [mx.nd.ones(shape, gpu) for gpu in gpus]
>>> kv.pull('3', out=b)
>>> print b[1].asnumpy()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
>>> # pull a list of key-value pairs.
>>> # On single device
>>> keys = ['5', '7', '9']
>>> b = [mx.nd.zeros(shape)]*len(keys)
>>> kv.pull(keys, out=b)
>>> print b[1].asnumpy()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
>>> # On multiple devices
>>> keys = ['6', '8', '10']
>>> b = [[mx.nd.ones(shape, gpu) for gpu in gpus]] * len(keys)
>>> kv.pull(keys, out=b)
>>> print b[1][1].asnumpy()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
"""
assert(out is not None)
ckeys, cvals, use_str_keys = _ctype_key_value(key, out)
if use_str_keys:
check_call(_LIB.MXKVStorePullWithSparseEx(self.handle, mx_uint(len(ckeys)), ckeys,
cvals, ctypes.c_int(priority),
ctypes.c_bool(ignore_sparse)))
else:
check_call(_LIB.MXKVStorePullWithSparse(self.handle, mx_uint(len(ckeys)), ckeys,
cvals, ctypes.c_int(priority),
ctypes.c_bool(ignore_sparse)))
|
python
|
def pull(self, key, out=None, priority=0, ignore_sparse=True):
""" Pulls a single value or a sequence of values from the store.
This function returns immediately after adding an operator to the engine.
Subsequent attempts to read from the `out` variable will be blocked until the
pull operation completes.
`pull` is executed asynchronously after all previous `pull` calls and only
the last `push` call for the same input key(s) are finished.
The returned values are guaranteed to be the latest values in the store.
pull with `RowSparseNDArray` is not supported for dist kvstore.
Please use ``row_sparse_pull`` instead.
Parameters
----------
key : str, int, or sequence of str or int
Keys.
out: NDArray or list of NDArray or list of list of NDArray
Values corresponding to the keys.
priority : int, optional
The priority of the pull operation.
Higher priority pull operations are likely to be executed before
other pull actions.
ignore_sparse: bool, optional, default True
Whether to ignore sparse arrays in the request.
Examples
--------
>>> # pull a single key-value pair
>>> a = mx.nd.zeros(shape)
>>> kv.pull('3', out=a)
>>> print a.asnumpy()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
>>> # pull into multiple devices
>>> b = [mx.nd.ones(shape, gpu) for gpu in gpus]
>>> kv.pull('3', out=b)
>>> print b[1].asnumpy()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
>>> # pull a list of key-value pairs.
>>> # On single device
>>> keys = ['5', '7', '9']
>>> b = [mx.nd.zeros(shape)]*len(keys)
>>> kv.pull(keys, out=b)
>>> print b[1].asnumpy()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
>>> # On multiple devices
>>> keys = ['6', '8', '10']
>>> b = [[mx.nd.ones(shape, gpu) for gpu in gpus]] * len(keys)
>>> kv.pull(keys, out=b)
>>> print b[1][1].asnumpy()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
"""
assert(out is not None)
ckeys, cvals, use_str_keys = _ctype_key_value(key, out)
if use_str_keys:
check_call(_LIB.MXKVStorePullWithSparseEx(self.handle, mx_uint(len(ckeys)), ckeys,
cvals, ctypes.c_int(priority),
ctypes.c_bool(ignore_sparse)))
else:
check_call(_LIB.MXKVStorePullWithSparse(self.handle, mx_uint(len(ckeys)), ckeys,
cvals, ctypes.c_int(priority),
ctypes.c_bool(ignore_sparse)))
|
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"ckeys",
",",
"cvals",
",",
"ctypes",
".",
"c_int",
"(",
"priority",
")",
",",
"ctypes",
".",
"c_bool",
"(",
"ignore_sparse",
")",
")",
")"
] |
Pulls a single value or a sequence of values from the store.
This function returns immediately after adding an operator to the engine.
Subsequent attempts to read from the `out` variable will be blocked until the
pull operation completes.
`pull` is executed asynchronously after all previous `pull` calls and only
the last `push` call for the same input key(s) are finished.
The returned values are guaranteed to be the latest values in the store.
pull with `RowSparseNDArray` is not supported for dist kvstore.
Please use ``row_sparse_pull`` instead.
Parameters
----------
key : str, int, or sequence of str or int
Keys.
out: NDArray or list of NDArray or list of list of NDArray
Values corresponding to the keys.
priority : int, optional
The priority of the pull operation.
Higher priority pull operations are likely to be executed before
other pull actions.
ignore_sparse: bool, optional, default True
Whether to ignore sparse arrays in the request.
Examples
--------
>>> # pull a single key-value pair
>>> a = mx.nd.zeros(shape)
>>> kv.pull('3', out=a)
>>> print a.asnumpy()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
>>> # pull into multiple devices
>>> b = [mx.nd.ones(shape, gpu) for gpu in gpus]
>>> kv.pull('3', out=b)
>>> print b[1].asnumpy()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
>>> # pull a list of key-value pairs.
>>> # On single device
>>> keys = ['5', '7', '9']
>>> b = [mx.nd.zeros(shape)]*len(keys)
>>> kv.pull(keys, out=b)
>>> print b[1].asnumpy()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
>>> # On multiple devices
>>> keys = ['6', '8', '10']
>>> b = [[mx.nd.ones(shape, gpu) for gpu in gpus]] * len(keys)
>>> kv.pull(keys, out=b)
>>> print b[1][1].asnumpy()
[[ 2. 2. 2.]
[ 2. 2. 2.]]
|
[
"Pulls",
"a",
"single",
"value",
"or",
"a",
"sequence",
"of",
"values",
"from",
"the",
"store",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L240-L312
|
train
|
Pulls a single value or a sequence of values from the store.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\063' + '\063', 9740 - 9732), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(1128 - 1017) + '\x32' + chr(0b110100) + '\x35', 0b1000), ehT0Px3KOsy9(chr(1883 - 1835) + chr(0b1101111) + chr(49) + '\x31' + chr(0b10011 + 0o40), 297 - 289), ehT0Px3KOsy9(chr(48) + chr(4836 - 4725) + chr(2280 - 2231) + chr(1196 - 1148) + chr(1173 - 1123), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(49) + '\x35' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b1000 + 0o55) + chr(2276 - 2224), 62438 - 62430), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110011) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x34' + '\x30', 19411 - 19403), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b100001 + 0o24) + chr(0b110000 + 0o7), 42853 - 42845), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101001 + 0o11) + chr(53) + chr(52), 12591 - 12583), ehT0Px3KOsy9(chr(2291 - 2243) + '\x6f' + chr(51) + chr(0b100 + 0o63) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + '\x31' + chr(0b110001) + chr(0b11110 + 0o26), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1817 - 1768) + '\x37' + chr(0b1100 + 0o52), 24774 - 24766), ehT0Px3KOsy9(chr(0b110000) + chr(0b111 + 0o150) + '\062' + chr(2079 - 2030), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4616 - 4505) + chr(0b110001) + chr(0b10100 + 0o43), 13958 - 13950), ehT0Px3KOsy9('\x30' + chr(0b1000110 + 0o51) + chr(1362 - 1311) + '\x32' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b110010) + chr(0b100110 + 0o21), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b110000) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(54) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(769 - 715) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(854 - 806) + '\157' + '\062' + '\x36' + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\x32' + chr(49), 62483 - 62475), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110 + 0o53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1101 + 0o45) + chr(0b101010 + 0o14) + '\x32', 11579 - 11571), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b100010 + 0o115) + '\061' + chr(806 - 753) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\x30' + chr(49), 8), ehT0Px3KOsy9(chr(1011 - 963) + '\x6f' + chr(51) + chr(548 - 500) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11010 + 0o31) + chr(0b101001 + 0o12) + chr(0b11100 + 0o26), 8), ehT0Px3KOsy9(chr(48) + chr(6934 - 6823) + chr(693 - 642) + chr(0b110100) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + chr(49) + chr(0b110100) + chr(1706 - 1652), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\x31' + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(910 - 861) + chr(0b11010 + 0o30), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(0b10110 + 0o40) + chr(0b11101 + 0o32), 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + '\x33' + chr(0b10111 + 0o33) + chr(2408 - 2354), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + chr(0b1000010 + 0o55) + chr(0b110011) + '\x37' + chr(0b100001 + 0o25), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(1118 - 1063) + chr(1152 - 1101), ord("\x08")), ehT0Px3KOsy9(chr(1299 - 1251) + chr(8506 - 8395) + '\x34' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1420 - 1369) + chr(2017 - 1969) + chr(2897 - 2843), 27783 - 27775), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(586 - 537) + chr(550 - 499), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'u'), chr(7854 - 7754) + chr(101) + chr(3312 - 3213) + '\157' + '\144' + '\x65')('\x75' + chr(12446 - 12330) + chr(0b1000111 + 0o37) + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ronFdi4oNRg8(oVre8I6UXc3b, K3J4ZwSlE0sT, UkrMp_I0RDmo=None, EAfD58UxJAJu=ehT0Px3KOsy9(chr(48) + chr(6404 - 6293) + chr(766 - 718), 0o10), Uva2ojhEIhts=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11001 + 0o30), 8)):
assert UkrMp_I0RDmo is not None
(sVuJaaC3JDtY, yBHXte6NBuav, SeIzFV6Gjvw6) = pMtNDO8rdaIk(K3J4ZwSlE0sT, UkrMp_I0RDmo)
if SeIzFV6Gjvw6:
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\xfd\x00\x14:\x18\xb5R\n\xfc\x8f \x12Ff\xa4\xbf\xd2G\x95\xc6\xa2d\xf7\x17'), chr(100) + chr(0b1001110 + 0o27) + chr(99) + '\157' + chr(0b1010 + 0o132) + chr(0b100011 + 0o102))(chr(0b1011111 + 0o26) + chr(11901 - 11785) + chr(4116 - 4014) + '\055' + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xdd\x1f7$\x1d\x9cz\x0b\xd6\xa04'), chr(0b101110 + 0o66) + '\x65' + chr(7485 - 7386) + chr(10638 - 10527) + chr(0b1100100) + chr(101))(chr(117) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(2233 - 2177))), RSEUJ_H3k51M(c2A0yzQpDQB3(sVuJaaC3JDtY)), sVuJaaC3JDtY, yBHXte6NBuav, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'8\xfa",\x1d'), chr(0b11111 + 0o105) + chr(0b100110 + 0o77) + chr(0b1100011) + '\x6f' + '\144' + chr(0b1000 + 0o135))(chr(0b110 + 0o157) + chr(0b1001110 + 0o46) + '\x66' + chr(0b101101) + '\x38'))(EAfD58UxJAJu), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'8\xfa)-\x06\x00'), '\x64' + chr(101) + '\143' + '\x6f' + chr(100) + chr(0b1100101))(chr(0b101100 + 0o111) + chr(116) + chr(125 - 23) + chr(992 - 947) + '\x38'))(Uva2ojhEIhts)))
else:
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\xfd\x00\x14:\x18\xb5R\n\xfc\x8f \x12Ff\xa4\xbf\xd2G\x95\xc6\xa2d'), chr(100) + chr(5597 - 5496) + '\143' + '\157' + chr(8358 - 8258) + chr(0b1001111 + 0o26))('\165' + chr(2756 - 2640) + chr(0b1100110) + chr(0b1111 + 0o36) + chr(0b100001 + 0o27)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xdd\x1f7$\x1d\x9cz\x0b\xd6\xa04'), '\x64' + chr(7007 - 6906) + '\x63' + chr(111) + chr(100) + chr(101))(chr(0b1110101) + chr(116) + chr(8152 - 8050) + '\x2d' + '\070')), RSEUJ_H3k51M(c2A0yzQpDQB3(sVuJaaC3JDtY)), sVuJaaC3JDtY, yBHXte6NBuav, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'8\xfa",\x1d'), chr(100) + chr(6701 - 6600) + chr(0b101001 + 0o72) + '\157' + chr(0b100110 + 0o76) + '\x65')('\x75' + chr(116) + chr(0b1001000 + 0o36) + '\055' + chr(1614 - 1558)))(EAfD58UxJAJu), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'8\xfa)-\x06\x00'), chr(5997 - 5897) + chr(0b1100101) + '\x63' + '\x6f' + '\144' + '\x65')('\165' + chr(7370 - 7254) + chr(0b111101 + 0o51) + chr(928 - 883) + '\x38'))(Uva2ojhEIhts)))
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
KVStore.row_sparse_pull
|
def row_sparse_pull(self, key, out=None, priority=0, row_ids=None):
""" Pulls a single RowSparseNDArray value or a sequence of RowSparseNDArray values \
from the store with specified row_ids. When there is only one row_id, KVStoreRowSparsePull \
is invoked just once and the result is broadcast to all the rest of outputs.
`row_sparse_pull` is executed asynchronously after all previous
`pull`/`row_sparse_pull` calls and the last `push` call for the
same input key(s) are finished.
The returned values are guaranteed to be the latest values in the store.
Parameters
----------
key : str, int, or sequence of str or int
Keys.
out: RowSparseNDArray or list of RowSparseNDArray or list of list of RowSparseNDArray
Values corresponding to the keys. The stype is expected to be row_sparse
priority : int, optional
The priority of the pull operation.
Higher priority pull operations are likely to be executed before
other pull actions.
row_ids : NDArray or list of NDArray
The row_ids for which to pull for each value. Each row_id is an 1-D NDArray \
whose values don't have to be unique nor sorted.
Examples
--------
>>> shape = (3, 3)
>>> kv.init('3', mx.nd.ones(shape).tostype('row_sparse'))
>>> a = mx.nd.sparse.zeros('row_sparse', shape)
>>> row_ids = mx.nd.array([0, 2], dtype='int64')
>>> kv.row_sparse_pull('3', out=a, row_ids=row_ids)
>>> print a.asnumpy()
[[ 1. 1. 1.]
[ 0. 0. 0.]
[ 1. 1. 1.]]
>>> duplicate_row_ids = mx.nd.array([2, 2], dtype='int64')
>>> kv.row_sparse_pull('3', out=a, row_ids=duplicate_row_ids)
>>> print a.asnumpy()
[[ 0. 0. 0.]
[ 0. 0. 0.]
[ 1. 1. 1.]]
>>> unsorted_row_ids = mx.nd.array([1, 0], dtype='int64')
>>> kv.row_sparse_pull('3', out=a, row_ids=unsorted_row_ids)
>>> print a.asnumpy()
[[ 1. 1. 1.]
[ 1. 1. 1.]
[ 0. 0. 0.]]
"""
assert(out is not None)
assert(row_ids is not None)
if isinstance(row_ids, NDArray):
row_ids = [row_ids]
assert(isinstance(row_ids, list)), \
"row_ids should be NDArray or list of NDArray"
first_out = out
# whether row_ids are the same
single_rowid = False
if len(row_ids) == 1 and isinstance(out, list):
single_rowid = True
first_out = [out[0]]
ckeys, cvals, use_str_keys = _ctype_key_value(key, first_out)
_, crow_ids, _ = _ctype_key_value(key, row_ids)
assert(len(crow_ids) == len(cvals)), \
"the number of row_ids doesn't match the number of values"
if use_str_keys:
check_call(_LIB.MXKVStorePullRowSparseEx(
self.handle, mx_uint(len(ckeys)), ckeys, cvals, crow_ids, ctypes.c_int(priority)))
else:
check_call(_LIB.MXKVStorePullRowSparse(
self.handle, mx_uint(len(ckeys)), ckeys, cvals, crow_ids, ctypes.c_int(priority)))
# the result can be copied to other devices without invoking row_sparse_pull
# if the indices are the same
if single_rowid:
for out_i in out[1:]:
out[0].copyto(out_i)
|
python
|
def row_sparse_pull(self, key, out=None, priority=0, row_ids=None):
""" Pulls a single RowSparseNDArray value or a sequence of RowSparseNDArray values \
from the store with specified row_ids. When there is only one row_id, KVStoreRowSparsePull \
is invoked just once and the result is broadcast to all the rest of outputs.
`row_sparse_pull` is executed asynchronously after all previous
`pull`/`row_sparse_pull` calls and the last `push` call for the
same input key(s) are finished.
The returned values are guaranteed to be the latest values in the store.
Parameters
----------
key : str, int, or sequence of str or int
Keys.
out: RowSparseNDArray or list of RowSparseNDArray or list of list of RowSparseNDArray
Values corresponding to the keys. The stype is expected to be row_sparse
priority : int, optional
The priority of the pull operation.
Higher priority pull operations are likely to be executed before
other pull actions.
row_ids : NDArray or list of NDArray
The row_ids for which to pull for each value. Each row_id is an 1-D NDArray \
whose values don't have to be unique nor sorted.
Examples
--------
>>> shape = (3, 3)
>>> kv.init('3', mx.nd.ones(shape).tostype('row_sparse'))
>>> a = mx.nd.sparse.zeros('row_sparse', shape)
>>> row_ids = mx.nd.array([0, 2], dtype='int64')
>>> kv.row_sparse_pull('3', out=a, row_ids=row_ids)
>>> print a.asnumpy()
[[ 1. 1. 1.]
[ 0. 0. 0.]
[ 1. 1. 1.]]
>>> duplicate_row_ids = mx.nd.array([2, 2], dtype='int64')
>>> kv.row_sparse_pull('3', out=a, row_ids=duplicate_row_ids)
>>> print a.asnumpy()
[[ 0. 0. 0.]
[ 0. 0. 0.]
[ 1. 1. 1.]]
>>> unsorted_row_ids = mx.nd.array([1, 0], dtype='int64')
>>> kv.row_sparse_pull('3', out=a, row_ids=unsorted_row_ids)
>>> print a.asnumpy()
[[ 1. 1. 1.]
[ 1. 1. 1.]
[ 0. 0. 0.]]
"""
assert(out is not None)
assert(row_ids is not None)
if isinstance(row_ids, NDArray):
row_ids = [row_ids]
assert(isinstance(row_ids, list)), \
"row_ids should be NDArray or list of NDArray"
first_out = out
# whether row_ids are the same
single_rowid = False
if len(row_ids) == 1 and isinstance(out, list):
single_rowid = True
first_out = [out[0]]
ckeys, cvals, use_str_keys = _ctype_key_value(key, first_out)
_, crow_ids, _ = _ctype_key_value(key, row_ids)
assert(len(crow_ids) == len(cvals)), \
"the number of row_ids doesn't match the number of values"
if use_str_keys:
check_call(_LIB.MXKVStorePullRowSparseEx(
self.handle, mx_uint(len(ckeys)), ckeys, cvals, crow_ids, ctypes.c_int(priority)))
else:
check_call(_LIB.MXKVStorePullRowSparse(
self.handle, mx_uint(len(ckeys)), ckeys, cvals, crow_ids, ctypes.c_int(priority)))
# the result can be copied to other devices without invoking row_sparse_pull
# if the indices are the same
if single_rowid:
for out_i in out[1:]:
out[0].copyto(out_i)
|
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] |
Pulls a single RowSparseNDArray value or a sequence of RowSparseNDArray values \
from the store with specified row_ids. When there is only one row_id, KVStoreRowSparsePull \
is invoked just once and the result is broadcast to all the rest of outputs.
`row_sparse_pull` is executed asynchronously after all previous
`pull`/`row_sparse_pull` calls and the last `push` call for the
same input key(s) are finished.
The returned values are guaranteed to be the latest values in the store.
Parameters
----------
key : str, int, or sequence of str or int
Keys.
out: RowSparseNDArray or list of RowSparseNDArray or list of list of RowSparseNDArray
Values corresponding to the keys. The stype is expected to be row_sparse
priority : int, optional
The priority of the pull operation.
Higher priority pull operations are likely to be executed before
other pull actions.
row_ids : NDArray or list of NDArray
The row_ids for which to pull for each value. Each row_id is an 1-D NDArray \
whose values don't have to be unique nor sorted.
Examples
--------
>>> shape = (3, 3)
>>> kv.init('3', mx.nd.ones(shape).tostype('row_sparse'))
>>> a = mx.nd.sparse.zeros('row_sparse', shape)
>>> row_ids = mx.nd.array([0, 2], dtype='int64')
>>> kv.row_sparse_pull('3', out=a, row_ids=row_ids)
>>> print a.asnumpy()
[[ 1. 1. 1.]
[ 0. 0. 0.]
[ 1. 1. 1.]]
>>> duplicate_row_ids = mx.nd.array([2, 2], dtype='int64')
>>> kv.row_sparse_pull('3', out=a, row_ids=duplicate_row_ids)
>>> print a.asnumpy()
[[ 0. 0. 0.]
[ 0. 0. 0.]
[ 1. 1. 1.]]
>>> unsorted_row_ids = mx.nd.array([1, 0], dtype='int64')
>>> kv.row_sparse_pull('3', out=a, row_ids=unsorted_row_ids)
>>> print a.asnumpy()
[[ 1. 1. 1.]
[ 1. 1. 1.]
[ 0. 0. 0.]]
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L314-L392
|
train
|
Pulls a single RowSparseNDArray value or a sequence of RowSparseNDArray values from the store with specified row_ids.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1655 - 1607) + '\x6f' + '\061' + '\x37' + chr(54), 42633 - 42625), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b110111) + chr(846 - 792), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010100 + 0o33) + '\x31' + chr(0b110101) + chr(0b100000 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(410 - 362) + '\157' + chr(0b110001) + '\x34' + chr(0b101100 + 0o12), 0o10), ehT0Px3KOsy9(chr(48) + chr(8173 - 8062) + chr(54) + '\062', 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + '\x33' + '\x36' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(647 - 597) + chr(0b110110) + '\066', 15170 - 15162), ehT0Px3KOsy9(chr(1150 - 1102) + chr(111) + chr(2418 - 2368) + '\061' + chr(226 - 178), ord("\x08")), ehT0Px3KOsy9(chr(1011 - 963) + '\157' + '\x35' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(53) + chr(2766 - 2711), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(9655 - 9544) + chr(0b101 + 0o54) + '\x31' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1560 - 1505) + chr(0b10111 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101100 + 0o3) + chr(1113 - 1063) + chr(2008 - 1955) + chr(0b10110 + 0o41), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x37' + '\x32', 27451 - 27443), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + '\x33' + chr(0b11 + 0o61), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(51) + chr(1729 - 1677) + '\062', 61585 - 61577), ehT0Px3KOsy9(chr(1989 - 1941) + chr(111) + '\062' + chr(0b110010) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1001 + 0o52) + chr(0b110110) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x37' + chr(0b0 + 0o64), 65051 - 65043), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(3732 - 3621) + '\x33' + '\x32' + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\x31' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(7904 - 7793) + chr(0b101110 + 0o2), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(286 - 236), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7248 - 7137) + chr(51) + '\x33' + '\x35', 38896 - 38888), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\065' + chr(0b11111 + 0o22), 52703 - 52695), ehT0Px3KOsy9('\060' + chr(469 - 358) + chr(1725 - 1674) + chr(0b100101 + 0o17) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001101 + 0o42) + chr(1658 - 1606) + chr(0b11101 + 0o25), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + '\063' + chr(0b11101 + 0o26) + chr(0b11011 + 0o32), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110 + 0o53) + chr(2317 - 2265) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(51) + '\x36', 30240 - 30232), ehT0Px3KOsy9(chr(48) + chr(0b1100100 + 0o13) + chr(0b101011 + 0o6) + '\x32' + chr(0b100101 + 0o20), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(1506 - 1454) + '\060', 39085 - 39077), ehT0Px3KOsy9('\060' + chr(1586 - 1475) + chr(49) + chr(54) + '\061', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + chr(0b110010) + chr(52) + chr(0b11000 + 0o37), 52880 - 52872), ehT0Px3KOsy9('\060' + chr(11352 - 11241) + chr(0b110101), 19928 - 19920), ehT0Px3KOsy9(chr(893 - 845) + chr(111) + chr(1038 - 985) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(0b1010 + 0o50) + chr(0b1011 + 0o52) + chr(0b10011 + 0o35), 0b1000), ehT0Px3KOsy9(chr(48) + chr(11419 - 11308) + chr(50) + '\066' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\x35' + chr(0b100 + 0o54), 21431 - 21423), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b110010 + 0o75) + '\x32' + '\x31' + '\060', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2269 - 2221) + chr(0b110001 + 0o76) + chr(0b110101) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'P'), chr(0b1100100) + chr(0b101110 + 0o67) + chr(0b1000 + 0o133) + '\x6f' + '\x64' + chr(0b110011 + 0o62))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def CuI38QzDlotp(oVre8I6UXc3b, K3J4ZwSlE0sT, UkrMp_I0RDmo=None, EAfD58UxJAJu=ehT0Px3KOsy9('\x30' + '\x6f' + '\060', 8), dnz_kPmWveA4=None):
assert UkrMp_I0RDmo is not None
assert dnz_kPmWveA4 is not None
if PlSM16l2KDPD(dnz_kPmWveA4, GdqFjMbtKL7s):
dnz_kPmWveA4 = [dnz_kPmWveA4]
assert PlSM16l2KDPD(dnz_kPmWveA4, YyaZ4tpXu4lf), xafqLlk3kkUe(SXOLrMavuUCe(b'\x0cQ\x1f9[\x91\xc5\xa8[G$N\xc3^<\x80\xf4\xd7r\x91\trp\xbcP\xc4M\xafC\xf2<\xd3\x05\x87jH\x88\xfd\xac\xc9\x0cL\t\x1f'), chr(100) + '\x65' + '\143' + '\157' + '\144' + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b1100110) + chr(1213 - 1168) + chr(0b111000))
CMLgkMvjnNQl = UkrMp_I0RDmo
p_yW8w6BSttX = ehT0Px3KOsy9(chr(786 - 738) + '\157' + chr(0b11111 + 0o21), 8)
if c2A0yzQpDQB3(dnz_kPmWveA4) == ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + chr(2304 - 2255), 0b1000) and PlSM16l2KDPD(UkrMp_I0RDmo, YyaZ4tpXu4lf):
p_yW8w6BSttX = ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31', 8)
CMLgkMvjnNQl = [UkrMp_I0RDmo[ehT0Px3KOsy9(chr(1173 - 1125) + '\157' + chr(0b100010 + 0o16), 8)]]
(sVuJaaC3JDtY, yBHXte6NBuav, SeIzFV6Gjvw6) = pMtNDO8rdaIk(K3J4ZwSlE0sT, CMLgkMvjnNQl)
(VNGQdHSFPrso, UFQCZahe7QDA, VNGQdHSFPrso) = pMtNDO8rdaIk(K3J4ZwSlE0sT, dnz_kPmWveA4)
assert c2A0yzQpDQB3(UFQCZahe7QDA) == c2A0yzQpDQB3(yBHXte6NBuav), xafqLlk3kkUe(SXOLrMavuUCe(b'\nV\rF\\\x80\xdb\xeaM]kT\xc9\x1an\x8d\xe6\xa8U\xb1; f\xb2L\x97L\xfa\x17\xbe8\xc1\x05\xc4m\x0e\xdc\xdb\x8d\xa8\x10K\x05\x04W\x87\x96\xe7N\x0f=Z\xc3Oy\x91'), '\144' + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(5236 - 5135))('\165' + '\164' + '\146' + chr(0b111 + 0o46) + chr(0b111000))
if SeIzFV6Gjvw6:
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'3f#0a\x81\xd9\xfaM\x7f>W\xc3hs\x95\xc2\x87]\xa7;eG\xa5'), chr(7458 - 7358) + chr(0b101110 + 0o67) + chr(0b1100011) + chr(0b1001011 + 0o44) + chr(0b100110 + 0o76) + chr(101))(chr(117) + chr(0b1011 + 0o151) + chr(0b1100110) + '\055' + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'-F<\x13\x7f\x84\xf0\xd2LU\x11C'), '\x64' + chr(101) + '\143' + chr(111) + chr(100) + chr(0b1100101))(chr(2618 - 2501) + '\164' + chr(102) + '\055' + chr(0b11100 + 0o34))), RSEUJ_H3k51M(c2A0yzQpDQB3(sVuJaaC3JDtY)), sVuJaaC3JDtY, yBHXte6NBuav, UFQCZahe7QDA, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1da\x01\x08F'), chr(100) + chr(101) + chr(0b1011001 + 0o12) + '\x6f' + chr(0b111 + 0o135) + chr(0b1000101 + 0o40))(chr(0b1110101) + '\164' + '\146' + chr(960 - 915) + chr(56)))(EAfD58UxJAJu)))
else:
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'3f#0a\x81\xd9\xfaM\x7f>W\xc3hs\x95\xc2\x87]\xa7;e'), '\144' + chr(6083 - 5982) + chr(2066 - 1967) + '\157' + '\x64' + chr(0b1000011 + 0o42))(chr(13545 - 13428) + chr(2814 - 2698) + chr(0b111011 + 0o53) + chr(0b101101) + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'-F<\x13\x7f\x84\xf0\xd2LU\x11C'), chr(0b11001 + 0o113) + chr(0b110001 + 0o64) + chr(5804 - 5705) + chr(8438 - 8327) + '\144' + '\145')(chr(117) + chr(12204 - 12088) + chr(7364 - 7262) + chr(0b100010 + 0o13) + chr(0b111000))), RSEUJ_H3k51M(c2A0yzQpDQB3(sVuJaaC3JDtY)), sVuJaaC3JDtY, yBHXte6NBuav, UFQCZahe7QDA, xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1da\x01\x08F'), chr(5242 - 5142) + '\x65' + chr(0b100111 + 0o74) + chr(0b1011001 + 0o26) + chr(0b101110 + 0o66) + chr(0b1100101))('\165' + '\164' + chr(1103 - 1001) + chr(45) + chr(56)))(EAfD58UxJAJu)))
if p_yW8w6BSttX:
for U5tjWmDufxUy in UkrMp_I0RDmo[ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(1222 - 1173), 8):]:
xafqLlk3kkUe(UkrMp_I0RDmo[ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11100 + 0o24), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\x1dQ\x18\x1fF\x9a'), chr(0b1100100 + 0o0) + chr(0b100101 + 0o100) + chr(8302 - 8203) + chr(0b1101000 + 0o7) + '\144' + chr(0b1100101))('\165' + chr(116) + '\x66' + chr(0b101101) + '\070'))(U5tjWmDufxUy)
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
KVStore.set_gradient_compression
|
def set_gradient_compression(self, compression_params):
""" Specifies type of low-bit quantization for gradient compression \
and additional arguments depending on the type of compression being used.
2bit Gradient Compression takes a positive float `threshold`.
The technique works by thresholding values such that positive values in the
gradient above threshold will be set to threshold. Negative values whose absolute
values are higher than threshold, will be set to the negative of threshold.
Values whose absolute values are less than threshold will be set to 0.
By doing so, each value in the gradient is in one of three states. 2bits are
used to represent these states, and every 16 float values in the original
gradient can be represented using one float. This compressed representation
can reduce communication costs. The difference between these thresholded values and
original values is stored at the sender's end as residual and added to the
gradient in the next iteration.
When kvstore is 'local', gradient compression is used to reduce communication
between multiple devices (gpus). Gradient is quantized on each GPU which
computed the gradients, then sent to the GPU which merges the gradients. This
receiving GPU dequantizes the gradients and merges them. Note that this
increases memory usage on each GPU because of the residual array stored.
When kvstore is 'dist', gradient compression is used to reduce communication
from worker to sender. Gradient is quantized on each worker which
computed the gradients, then sent to the server which dequantizes
this data and merges the gradients from each worker. Note that this
increases CPU memory usage on each worker because of the residual array stored.
Only worker to server communication is compressed in this setting.
If each machine has multiple GPUs, currently this GPU to GPU or GPU to CPU communication
is not compressed. Server to worker communication (in the case of pull)
is also not compressed.
To use 2bit compression, we need to specify `type` as `2bit`.
Only specifying `type` would use default value for the threshold.
To completely specify the arguments for 2bit compression, we would need to pass
a dictionary which includes `threshold` like:
{'type': '2bit', 'threshold': 0.5}
Parameters
----------
compression_params : dict
A dictionary specifying the type and parameters for gradient compression.
The key `type` in this dictionary is a
required string argument and specifies the type of gradient compression.
Currently `type` can be only `2bit`
Other keys in this dictionary are optional and specific to the type
of gradient compression.
"""
if ('device' in self.type) or ('dist' in self.type): # pylint: disable=unsupported-membership-test
ckeys, cvals = _ctype_dict(compression_params)
check_call(_LIB.MXKVStoreSetGradientCompression(self.handle,
mx_uint(len(compression_params)),
ckeys, cvals))
else:
raise Exception('Gradient compression is not supported for this type of kvstore')
|
python
|
def set_gradient_compression(self, compression_params):
""" Specifies type of low-bit quantization for gradient compression \
and additional arguments depending on the type of compression being used.
2bit Gradient Compression takes a positive float `threshold`.
The technique works by thresholding values such that positive values in the
gradient above threshold will be set to threshold. Negative values whose absolute
values are higher than threshold, will be set to the negative of threshold.
Values whose absolute values are less than threshold will be set to 0.
By doing so, each value in the gradient is in one of three states. 2bits are
used to represent these states, and every 16 float values in the original
gradient can be represented using one float. This compressed representation
can reduce communication costs. The difference between these thresholded values and
original values is stored at the sender's end as residual and added to the
gradient in the next iteration.
When kvstore is 'local', gradient compression is used to reduce communication
between multiple devices (gpus). Gradient is quantized on each GPU which
computed the gradients, then sent to the GPU which merges the gradients. This
receiving GPU dequantizes the gradients and merges them. Note that this
increases memory usage on each GPU because of the residual array stored.
When kvstore is 'dist', gradient compression is used to reduce communication
from worker to sender. Gradient is quantized on each worker which
computed the gradients, then sent to the server which dequantizes
this data and merges the gradients from each worker. Note that this
increases CPU memory usage on each worker because of the residual array stored.
Only worker to server communication is compressed in this setting.
If each machine has multiple GPUs, currently this GPU to GPU or GPU to CPU communication
is not compressed. Server to worker communication (in the case of pull)
is also not compressed.
To use 2bit compression, we need to specify `type` as `2bit`.
Only specifying `type` would use default value for the threshold.
To completely specify the arguments for 2bit compression, we would need to pass
a dictionary which includes `threshold` like:
{'type': '2bit', 'threshold': 0.5}
Parameters
----------
compression_params : dict
A dictionary specifying the type and parameters for gradient compression.
The key `type` in this dictionary is a
required string argument and specifies the type of gradient compression.
Currently `type` can be only `2bit`
Other keys in this dictionary are optional and specific to the type
of gradient compression.
"""
if ('device' in self.type) or ('dist' in self.type): # pylint: disable=unsupported-membership-test
ckeys, cvals = _ctype_dict(compression_params)
check_call(_LIB.MXKVStoreSetGradientCompression(self.handle,
mx_uint(len(compression_params)),
ckeys, cvals))
else:
raise Exception('Gradient compression is not supported for this type of kvstore')
|
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] |
Specifies type of low-bit quantization for gradient compression \
and additional arguments depending on the type of compression being used.
2bit Gradient Compression takes a positive float `threshold`.
The technique works by thresholding values such that positive values in the
gradient above threshold will be set to threshold. Negative values whose absolute
values are higher than threshold, will be set to the negative of threshold.
Values whose absolute values are less than threshold will be set to 0.
By doing so, each value in the gradient is in one of three states. 2bits are
used to represent these states, and every 16 float values in the original
gradient can be represented using one float. This compressed representation
can reduce communication costs. The difference between these thresholded values and
original values is stored at the sender's end as residual and added to the
gradient in the next iteration.
When kvstore is 'local', gradient compression is used to reduce communication
between multiple devices (gpus). Gradient is quantized on each GPU which
computed the gradients, then sent to the GPU which merges the gradients. This
receiving GPU dequantizes the gradients and merges them. Note that this
increases memory usage on each GPU because of the residual array stored.
When kvstore is 'dist', gradient compression is used to reduce communication
from worker to sender. Gradient is quantized on each worker which
computed the gradients, then sent to the server which dequantizes
this data and merges the gradients from each worker. Note that this
increases CPU memory usage on each worker because of the residual array stored.
Only worker to server communication is compressed in this setting.
If each machine has multiple GPUs, currently this GPU to GPU or GPU to CPU communication
is not compressed. Server to worker communication (in the case of pull)
is also not compressed.
To use 2bit compression, we need to specify `type` as `2bit`.
Only specifying `type` would use default value for the threshold.
To completely specify the arguments for 2bit compression, we would need to pass
a dictionary which includes `threshold` like:
{'type': '2bit', 'threshold': 0.5}
Parameters
----------
compression_params : dict
A dictionary specifying the type and parameters for gradient compression.
The key `type` in this dictionary is a
required string argument and specifies the type of gradient compression.
Currently `type` can be only `2bit`
Other keys in this dictionary are optional and specific to the type
of gradient compression.
|
[
"Specifies",
"type",
"of",
"low",
"-",
"bit",
"quantization",
"for",
"gradient",
"compression",
"\\",
"and",
"additional",
"arguments",
"depending",
"on",
"the",
"type",
"of",
"compression",
"being",
"used",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L394-L448
|
train
|
Sets the gradient compression for the given key - value pairs.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\061' + chr(0b11101 + 0o25), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110100) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101100 + 0o103) + '\062' + chr(0b110110) + chr(0b101 + 0o54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + chr(0b110010) + chr(0b110100 + 0o2) + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + chr(0b100101 + 0o14) + chr(49), 14367 - 14359), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\x31' + chr(2163 - 2114) + chr(1282 - 1234), 36077 - 36069), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + '\x33' + chr(0b101110 + 0o3) + chr(0b110110), 6466 - 6458), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\062' + chr(0b110110), 13886 - 13878), ehT0Px3KOsy9(chr(0b110000) + chr(0b111 + 0o150) + chr(49) + chr(0b100101 + 0o13) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + '\062' + chr(0b110001), 62372 - 62364), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(0b11111 + 0o23) + '\x33' + chr(1515 - 1462), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(0b11010 + 0o31) + '\067' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101010 + 0o5) + '\x37' + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b10101 + 0o37) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b100 + 0o61) + chr(0b110000), 58493 - 58485), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b1010 + 0o51) + '\066', 7929 - 7921), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b110010 + 0o5) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2665 - 2554) + chr(50) + chr(0b110011) + chr(50), 46805 - 46797), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(6600 - 6489) + chr(0b110001) + chr(2463 - 2413) + '\x36', 0o10), ehT0Px3KOsy9(chr(822 - 774) + '\157' + chr(49) + '\x34' + '\065', 8), ehT0Px3KOsy9(chr(478 - 430) + '\x6f' + chr(50) + chr(53) + chr(0b100100 + 0o21), 17858 - 17850), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10000 + 0o43) + chr(0b110010) + chr(0b101000 + 0o17), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110110 + 0o0) + '\x32', 0o10), ehT0Px3KOsy9(chr(1472 - 1424) + '\x6f' + '\066' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(5317 - 5206) + chr(0b101100 + 0o5) + chr(50) + '\066', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(1114 - 1066), 18905 - 18897), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1 + 0o60) + chr(761 - 706) + chr(51), 9700 - 9692), ehT0Px3KOsy9(chr(313 - 265) + chr(0b1101010 + 0o5) + '\061' + chr(50) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1180 - 1069) + '\x32' + chr(0b110111) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1111 + 0o44) + chr(51) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10403 - 10292) + chr(1234 - 1185) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\x36' + chr(965 - 911), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(1421 - 1372) + chr(0b110010 + 0o3) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111000 + 0o67) + chr(872 - 820) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b11000 + 0o30) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5554 - 5443) + chr(52) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(0b110001) + chr(1480 - 1425) + '\063', 8), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(0b110010) + '\065' + chr(0b110010), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + '\065' + '\060', 3120 - 3112)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'd'), chr(150 - 50) + chr(101) + chr(99) + '\x6f' + '\144' + chr(3377 - 3276))(chr(117) + chr(7942 - 7826) + '\146' + chr(1016 - 971) + chr(1717 - 1661)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def KifoHrvuYl_l(oVre8I6UXc3b, mkpvKZGxAmI1):
if xafqLlk3kkUe(SXOLrMavuUCe(b'.p\x13\xd8\xd4l'), '\x64' + chr(0b1100010 + 0o3) + chr(0b1011000 + 0o13) + chr(7213 - 7102) + chr(100) + '\145')(chr(0b1110101) + chr(0b10010 + 0o142) + '\146' + '\055' + chr(0b111000)) in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'=x4\xdc\xcel\x1f\x8c\xbb\x11yg'), chr(100) + chr(0b1010110 + 0o17) + chr(0b110101 + 0o56) + chr(111) + chr(100) + chr(101))(chr(4931 - 4814) + chr(0b1011000 + 0o34) + '\x66' + '\055' + chr(0b111000))) or xafqLlk3kkUe(SXOLrMavuUCe(b'.|\x16\xc5'), chr(100) + '\x65' + '\143' + chr(0b11 + 0o154) + chr(0b100 + 0o140) + chr(5372 - 5271))('\x75' + '\164' + chr(0b10 + 0o144) + chr(1263 - 1218) + '\070') in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'=x4\xdc\xcel\x1f\x8c\xbb\x11yg'), chr(100) + chr(0b1100101) + chr(0b110010 + 0o61) + chr(0b1011110 + 0o21) + chr(0b10100 + 0o120) + '\x65')(chr(0b1110101) + chr(3489 - 3373) + '\146' + chr(0b101101) + chr(1566 - 1510))):
(sVuJaaC3JDtY, yBHXte6NBuav) = PB5pz4xaOHUO(mkpvKZGxAmI1)
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b"\x07M.\xe7\xe4}'\xbc\xb3\x17le\xda\x88\\\x84\xc1\xbb\xd4\xee\x15\n\xc0\xa7\xc0Q%{\x12<\xd2"), chr(0b1100100) + '\x65' + '\x63' + chr(111) + '\x64' + '\x65')(chr(0b1110101) + chr(13132 - 13016) + chr(0b110 + 0o140) + chr(604 - 559) + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19m1\xc4\xfax\x0e\x94\xb2>Si'), chr(100) + '\x65' + '\143' + chr(111) + chr(100) + chr(0b10100 + 0o121))(chr(11037 - 10920) + chr(7150 - 7034) + '\x66' + chr(522 - 477) + chr(2578 - 2522))), RSEUJ_H3k51M(c2A0yzQpDQB3(mkpvKZGxAmI1)), sVuJaaC3JDtY, yBHXte6NBuav))
else:
raise jLmadlzMdunT(xafqLlk3kkUe(SXOLrMavuUCe(b'\rg\x04\xd5\xdel&\xba\xf6\'f|\xed\x88X\x93\xdb\xb7\xd5\xf4v\x0c\xde\xf7\xdc["(\x08&\xcc\xadb\x84\x1bF\xa2\x04\x1d\xc585\x11\xd9\xdezh\xba\xaf4l1\xf2\x9c\x1d\x8b\xde\xad\xce\xf5$\x00'), chr(0b1100100) + chr(0b1011111 + 0o6) + '\143' + chr(0b1101111) + '\x64' + '\x65')(chr(117) + chr(0b1110100) + chr(5248 - 5146) + chr(0b10110 + 0o27) + chr(0b100101 + 0o23)))
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
KVStore.set_optimizer
|
def set_optimizer(self, optimizer):
""" Registers an optimizer with the kvstore.
When using a single machine, this function updates the local optimizer.
If using multiple machines and this operation is invoked from a worker node,
it will serialized the optimizer with pickle and send it to all servers.
The function returns after all servers have been updated.
Parameters
----------
optimizer : Optimizer
The new optimizer for the store
Examples
--------
>>> kv = mx.kv.create()
>>> shape = (2, 2)
>>> weight = mx.nd.zeros(shape)
>>> kv.init(3, weight)
>>> # set the optimizer for kvstore as the default SGD optimizer
>>> kv.set_optimizer(mx.optimizer.SGD())
>>> grad = mx.nd.ones(shape)
>>> kv.push(3, grad)
>>> kv.pull(3, out = weight)
>>> # weight is updated via gradient descent
>>> weight.asnumpy()
array([[-0.01, -0.01],
[-0.01, -0.01]], dtype=float32)
"""
is_worker = ctypes.c_int()
check_call(_LIB.MXKVStoreIsWorkerNode(ctypes.byref(is_worker)))
# pylint: disable=invalid-name
if 'dist' in self.type and is_worker.value: # pylint: disable=unsupported-membership-test
# send the optimizer to server
try:
# use ASCII protocol 0, might be slower, but not a big ideal
optim_str = py_str(pickle.dumps(optimizer, 0))
except:
raise
cmd = _get_kvstore_server_command_type('kController')
self._send_command_to_servers(cmd, optim_str)
if optimizer.multi_precision:
cmd = _get_kvstore_server_command_type('kSetMultiPrecision')
self._send_command_to_servers(cmd, '')
else:
self._set_updater(opt.get_updater(optimizer))
|
python
|
def set_optimizer(self, optimizer):
""" Registers an optimizer with the kvstore.
When using a single machine, this function updates the local optimizer.
If using multiple machines and this operation is invoked from a worker node,
it will serialized the optimizer with pickle and send it to all servers.
The function returns after all servers have been updated.
Parameters
----------
optimizer : Optimizer
The new optimizer for the store
Examples
--------
>>> kv = mx.kv.create()
>>> shape = (2, 2)
>>> weight = mx.nd.zeros(shape)
>>> kv.init(3, weight)
>>> # set the optimizer for kvstore as the default SGD optimizer
>>> kv.set_optimizer(mx.optimizer.SGD())
>>> grad = mx.nd.ones(shape)
>>> kv.push(3, grad)
>>> kv.pull(3, out = weight)
>>> # weight is updated via gradient descent
>>> weight.asnumpy()
array([[-0.01, -0.01],
[-0.01, -0.01]], dtype=float32)
"""
is_worker = ctypes.c_int()
check_call(_LIB.MXKVStoreIsWorkerNode(ctypes.byref(is_worker)))
# pylint: disable=invalid-name
if 'dist' in self.type and is_worker.value: # pylint: disable=unsupported-membership-test
# send the optimizer to server
try:
# use ASCII protocol 0, might be slower, but not a big ideal
optim_str = py_str(pickle.dumps(optimizer, 0))
except:
raise
cmd = _get_kvstore_server_command_type('kController')
self._send_command_to_servers(cmd, optim_str)
if optimizer.multi_precision:
cmd = _get_kvstore_server_command_type('kSetMultiPrecision')
self._send_command_to_servers(cmd, '')
else:
self._set_updater(opt.get_updater(optimizer))
|
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] |
Registers an optimizer with the kvstore.
When using a single machine, this function updates the local optimizer.
If using multiple machines and this operation is invoked from a worker node,
it will serialized the optimizer with pickle and send it to all servers.
The function returns after all servers have been updated.
Parameters
----------
optimizer : Optimizer
The new optimizer for the store
Examples
--------
>>> kv = mx.kv.create()
>>> shape = (2, 2)
>>> weight = mx.nd.zeros(shape)
>>> kv.init(3, weight)
>>> # set the optimizer for kvstore as the default SGD optimizer
>>> kv.set_optimizer(mx.optimizer.SGD())
>>> grad = mx.nd.ones(shape)
>>> kv.push(3, grad)
>>> kv.pull(3, out = weight)
>>> # weight is updated via gradient descent
>>> weight.asnumpy()
array([[-0.01, -0.01],
[-0.01, -0.01]], dtype=float32)
|
[
"Registers",
"an",
"optimizer",
"with",
"the",
"kvstore",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L450-L497
|
train
|
Registers an optimizer for the store and sends it to all servers.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(287 - 239) + chr(760 - 649) + chr(51) + chr(54) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\x35' + chr(50), 30760 - 30752), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(989 - 941) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2275 - 2226) + chr(0b1101 + 0o45) + chr(0b11000 + 0o32), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(51) + '\061', 0b1000), ehT0Px3KOsy9(chr(1413 - 1365) + chr(111) + chr(50) + chr(0b110101) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1782 - 1734) + chr(0b11101 + 0o122) + chr(1106 - 1055) + '\x30' + chr(0b100111 + 0o13), 54575 - 54567), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(49) + chr(0b11100 + 0o31), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011001 + 0o26) + chr(690 - 640) + chr(1257 - 1204) + '\060', 36108 - 36100), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\x36' + '\062', 0o10), ehT0Px3KOsy9(chr(2296 - 2248) + chr(0b10010 + 0o135) + chr(0b11010 + 0o30) + '\062' + chr(0b110010), 43375 - 43367), ehT0Px3KOsy9(chr(2278 - 2230) + chr(0b1011110 + 0o21) + '\x31' + '\063' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100000 + 0o117) + chr(2466 - 2415) + '\066' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110111) + chr(0b110110), 51450 - 51442), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110110) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b101011 + 0o10) + '\x32', 33532 - 33524), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b111 + 0o60) + chr(0b10100 + 0o41), 44102 - 44094), ehT0Px3KOsy9(chr(48) + chr(3729 - 3618) + '\063' + chr(2531 - 2476) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b101000 + 0o107) + chr(0b110001) + chr(0b1101 + 0o44) + chr(49), 21277 - 21269), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(4628 - 4517) + '\063' + '\x34' + chr(251 - 200), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(0b111 + 0o53) + chr(55) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + '\061' + chr(2131 - 2077) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10011 + 0o36) + chr(634 - 586) + chr(0b110000 + 0o5), 0o10), ehT0Px3KOsy9('\x30' + chr(10054 - 9943) + '\x33' + '\062' + '\x34', 0b1000), ehT0Px3KOsy9(chr(116 - 68) + chr(0b100101 + 0o112) + chr(50) + '\064' + chr(51), 20790 - 20782), ehT0Px3KOsy9(chr(506 - 458) + '\157' + '\x31' + chr(0b110111) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110101) + chr(0b11111 + 0o21), 47291 - 47283), ehT0Px3KOsy9(chr(1590 - 1542) + chr(3847 - 3736) + chr(0b10110 + 0o33) + '\061' + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110011) + chr(53), 63153 - 63145), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11001 + 0o31) + '\066' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(51) + chr(0b110010 + 0o4) + '\064', 11282 - 11274), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10 + 0o61) + chr(0b10100 + 0o42) + chr(0b10100 + 0o34), 60640 - 60632), ehT0Px3KOsy9('\x30' + '\157' + chr(2361 - 2310) + chr(0b100001 + 0o22), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\x31' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + chr(49) + chr(0b110110) + chr(238 - 189), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100111 + 0o10) + '\063' + '\x30' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101111 + 0o100) + chr(1689 - 1640) + chr(0b100 + 0o60) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11101 + 0o26) + chr(48) + chr(0b101110 + 0o2), 0o10), ehT0Px3KOsy9('\060' + chr(4229 - 4118) + chr(49) + '\067', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(0b10101 + 0o40) + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc'), chr(0b1100100) + '\x65' + chr(0b1100000 + 0o3) + chr(5072 - 4961) + '\x64' + chr(101))(chr(0b1110101) + '\x74' + '\146' + chr(287 - 242) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kpduQtlDseH4(oVre8I6UXc3b, XdKNcYRObPK3):
JlzF3wBp2_IA = RyQ4N1viUrfz.c_int()
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\xb2\xcc\x04J\xd9\xad\xbfp\xe1\xc1\xc54\x81UW(\xb3\x95-\x86'), chr(0b1100100) + chr(0b111100 + 0o51) + '\143' + chr(0b11001 + 0o126) + chr(0b1100100) + chr(0b10101 + 0o120))('\x75' + chr(116) + '\146' + chr(0b11010 + 0o23) + chr(2709 - 2653)))(xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x93\xf57\x7f'), chr(0b1010100 + 0o20) + '\x65' + '\x63' + chr(111) + chr(100) + chr(0b1011001 + 0o14))(chr(3814 - 3697) + '\164' + chr(0b1100110) + chr(0b10100 + 0o31) + chr(0b111000)))(JlzF3wBp2_IA)))
if xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\x83\xf4&'), chr(0b1010010 + 0o22) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(4172 - 4071))(chr(2738 - 2621) + chr(0b101001 + 0o113) + chr(0b1000000 + 0o46) + chr(0b101101) + chr(0b10110 + 0o42)) in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85\x87\xd6?`\xc8\x95\x8fx\xfd\xc2\xe4'), chr(0b101011 + 0o71) + chr(6273 - 6172) + '\143' + chr(0b111000 + 0o67) + chr(0b10101 + 0o117) + chr(0b100 + 0o141))(chr(9010 - 8893) + chr(11540 - 11424) + chr(0b1011011 + 0o13) + '\x2d' + chr(0b111000))) and xafqLlk3kkUe(JlzF3wBp2_IA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\x87\xea5N\xf8\x80\xfc&\xfe\xf1\xd8'), chr(0b11011 + 0o111) + '\x65' + chr(0b1011011 + 0o10) + '\157' + '\x64' + chr(101))(chr(11546 - 11429) + chr(2958 - 2842) + '\146' + chr(0b101101) + '\070')):
try:
zs2aoT6ilHsk = CaGHn5i0wDWS(b1Ng5DsPF9ZY.dumps(XdKNcYRObPK3, ehT0Px3KOsy9('\060' + chr(111) + chr(348 - 300), 0b1000)))
except ZVWAAMjVVHHl:
raise
cTsjNbtiBYNK = RO8U3GUwAXfT(xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\xa9\xe8<m\xdf\xad\xa1y\xcd\xc0'), chr(0b1100100) + chr(0b101010 + 0o73) + chr(0b1100011) + chr(0b1101111) + '\144' + '\145')(chr(117) + chr(1010 - 894) + '\x66' + chr(1680 - 1635) + chr(0b111000)))
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\x99\xe2<}\xf2\xa1\xa2x\xc5\xd3\xfc?\xacJ]\x05\x8e\x9f;\x95\xde\x046'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + chr(8110 - 7994) + chr(0b1010010 + 0o24) + chr(0b11100 + 0o21) + chr(56)))(cTsjNbtiBYNK, zs2aoT6ilHsk)
if xafqLlk3kkUe(XdKNcYRObPK3, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x9f\xeb&p\xf2\xb2\xbfp\xcb\xdb\xe12\x9cP'), '\x64' + '\x65' + chr(8695 - 8596) + chr(111) + chr(100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(3347 - 3245) + '\055' + '\070')):
cTsjNbtiBYNK = RO8U3GUwAXfT(xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\xb9\xe2&T\xd8\xae\xb9|\xf8\xc0\xf78\x9aM[5\x93'), chr(0b1100100) + chr(0b1100101 + 0o0) + '\143' + chr(0b1101111) + chr(0b1010110 + 0o16) + chr(101))('\165' + chr(12413 - 12297) + chr(0b111011 + 0o53) + chr(1799 - 1754) + chr(2493 - 2437)))
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\x99\xe2<}\xf2\xa1\xa2x\xc5\xd3\xfc?\xacJ]\x05\x8e\x9f;\x95\xde\x046'), '\144' + chr(1447 - 1346) + chr(99) + chr(0b1101001 + 0o6) + '\144' + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(4573 - 4471) + chr(1158 - 1113) + '\070'))(cTsjNbtiBYNK, xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(9144 - 9044) + '\x65' + chr(99) + '\157' + '\x64' + chr(0b110100 + 0o61))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b11000 + 0o40)))
else:
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\x99\xe2&F\xd8\xb2\xa9t\xdc\xd7\xe0'), chr(0b1100100) + chr(1983 - 1882) + '\x63' + chr(0b100101 + 0o112) + '\144' + chr(0b111 + 0o136))(chr(1285 - 1168) + chr(0b1110000 + 0o4) + chr(0b1100110) + '\055' + chr(0b101010 + 0o16)))(xafqLlk3kkUe(PFDxXM_vbSsA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\x8f\xf3\rl\xdd\xa6\xaca\xcd\xc0'), chr(100) + chr(0b1011010 + 0o13) + chr(1227 - 1128) + chr(0b1101111) + chr(0b1001010 + 0o32) + chr(101))(chr(117) + chr(0b1110100) + '\146' + chr(0b1100 + 0o41) + '\x38'))(XdKNcYRObPK3))
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
KVStore.type
|
def type(self):
""" Returns the type of this kvstore.
Returns
-------
type : str
the string type
"""
kv_type = ctypes.c_char_p()
check_call(_LIB.MXKVStoreGetType(self.handle, ctypes.byref(kv_type)))
return py_str(kv_type.value)
|
python
|
def type(self):
""" Returns the type of this kvstore.
Returns
-------
type : str
the string type
"""
kv_type = ctypes.c_char_p()
check_call(_LIB.MXKVStoreGetType(self.handle, ctypes.byref(kv_type)))
return py_str(kv_type.value)
|
[
"def",
"type",
"(",
"self",
")",
":",
"kv_type",
"=",
"ctypes",
".",
"c_char_p",
"(",
")",
"check_call",
"(",
"_LIB",
".",
"MXKVStoreGetType",
"(",
"self",
".",
"handle",
",",
"ctypes",
".",
"byref",
"(",
"kv_type",
")",
")",
")",
"return",
"py_str",
"(",
"kv_type",
".",
"value",
")"
] |
Returns the type of this kvstore.
Returns
-------
type : str
the string type
|
[
"Returns",
"the",
"type",
"of",
"this",
"kvstore",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L500-L510
|
train
|
Returns the type of this kvstore.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(0b110011) + chr(0b110110) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(9898 - 9787) + chr(0b110001) + chr(0b110010) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + chr(0b1000 + 0o53) + '\067' + chr(0b110001 + 0o3), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10110 + 0o33) + chr(2242 - 2191) + chr(0b11101 + 0o31), 0b1000), ehT0Px3KOsy9(chr(549 - 501) + '\x6f' + '\066' + chr(0b0 + 0o67), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(50) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x35' + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b11100 + 0o24) + '\065', 22105 - 22097), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(49) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(1789 - 1678) + chr(50) + chr(0b100111 + 0o12) + chr(53), 53475 - 53467), ehT0Px3KOsy9(chr(1497 - 1449) + chr(2220 - 2109) + '\x32' + '\063' + '\064', 0o10), ehT0Px3KOsy9(chr(1607 - 1559) + chr(0b1101111) + chr(49) + chr(0b110111) + chr(1749 - 1697), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(1736 - 1688) + chr(111) + chr(0b110010 + 0o1) + chr(0b100010 + 0o22) + chr(0b100101 + 0o15), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110111) + chr(0b10110 + 0o36), 34620 - 34612), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + '\x33' + chr(0b100100 + 0o16) + chr(356 - 305), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b1001 + 0o55) + chr(2126 - 2074), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(696 - 585) + chr(0b110110) + chr(830 - 777), 48344 - 48336), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100 + 0o55) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\x32' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(7268 - 7157) + chr(50) + chr(0b101110 + 0o2), 49842 - 49834), ehT0Px3KOsy9(chr(89 - 41) + '\x6f' + '\x32' + chr(0b11 + 0o61) + chr(962 - 912), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100110 + 0o20) + chr(0b100100 + 0o14), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5599 - 5488) + chr(49) + chr(1069 - 1020), 42923 - 42915), ehT0Px3KOsy9('\x30' + '\x6f' + '\x37' + chr(1567 - 1512), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110100) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(48) + chr(1970 - 1920), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000101 + 0o52) + chr(0b110010 + 0o0) + '\065' + chr(0b101 + 0o62), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b1101 + 0o44) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b110000 + 0o1) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b110100) + chr(0b10011 + 0o35), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1193 - 1141) + chr(52), 8), ehT0Px3KOsy9('\060' + chr(0b1000011 + 0o54) + '\061' + chr(0b110011) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(0b110011) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1001110 + 0o41) + chr(0b111 + 0o52) + chr(0b110101) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\060' + '\061', 51367 - 51359), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b110001) + chr(0b110010), 14810 - 14802), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(0b110110) + chr(2112 - 2061), 0b1000), ehT0Px3KOsy9(chr(2000 - 1952) + chr(0b1101111) + chr(50) + chr(0b110110) + '\x35', 43589 - 43581), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101100 + 0o7) + '\x34' + '\x37', 11887 - 11879)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1935 - 1887) + '\157' + chr(53) + '\x30', 42718 - 42710)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9'), chr(100) + chr(0b1010 + 0o133) + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1100011 + 0o22) + chr(116) + chr(102) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wmQmyeWBmUpv(oVre8I6UXc3b):
fquHiNM6soOe = RyQ4N1viUrfz.c_char_p()
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x0c\xb7\x08d\xa6\xc7\xf7m\xca\xf9\x08F\x9bL\xb6'), '\144' + chr(0b101000 + 0o75) + '\143' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + chr(0b1010001 + 0o25) + '\x2d' + chr(0b110001 + 0o7)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4,\xa8+z\xa3\xee\xdfl\xf7\xc6\x04'), chr(0b1100100) + '\x65' + '\x63' + chr(0b1001010 + 0o45) + chr(100) + chr(0b1010001 + 0o24))(chr(0b1011101 + 0o30) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(56))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95-\x8e;Q'), chr(100) + chr(5117 - 5016) + '\x63' + chr(7223 - 7112) + chr(100) + chr(101))('\165' + '\x74' + chr(102) + '\055' + chr(0b111000)))(fquHiNM6soOe)))
return CaGHn5i0wDWS(xafqLlk3kkUe(fquHiNM6soOe, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa69\x919`\x87\xea\xb4;\xdb\xdf6'), chr(100) + '\145' + '\143' + '\x6f' + chr(100) + chr(3803 - 3702))(chr(117) + chr(0b1011000 + 0o34) + chr(0b1011101 + 0o11) + '\055' + chr(935 - 879))))
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
KVStore.rank
|
def rank(self):
""" Returns the rank of this worker node.
Returns
-------
rank : int
The rank of this node, which is in range [0, num_workers())
"""
rank = ctypes.c_int()
check_call(_LIB.MXKVStoreGetRank(self.handle, ctypes.byref(rank)))
return rank.value
|
python
|
def rank(self):
""" Returns the rank of this worker node.
Returns
-------
rank : int
The rank of this node, which is in range [0, num_workers())
"""
rank = ctypes.c_int()
check_call(_LIB.MXKVStoreGetRank(self.handle, ctypes.byref(rank)))
return rank.value
|
[
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"c_int",
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")",
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"(",
"_LIB",
".",
"MXKVStoreGetRank",
"(",
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".",
"handle",
",",
"ctypes",
".",
"byref",
"(",
"rank",
")",
")",
")",
"return",
"rank",
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"value"
] |
Returns the rank of this worker node.
Returns
-------
rank : int
The rank of this node, which is in range [0, num_workers())
|
[
"Returns",
"the",
"rank",
"of",
"this",
"worker",
"node",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L513-L523
|
train
|
Returns the rank of this worker node.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(11202 - 11091) + '\x33' + chr(2809 - 2756) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5007 - 4896) + chr(0b10011 + 0o36) + chr(1507 - 1452) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\x33' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(0b110001) + '\063' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101011 + 0o104) + '\065' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b110110 + 0o71) + chr(51) + '\060' + chr(0b110101), 49903 - 49895), ehT0Px3KOsy9('\x30' + chr(5082 - 4971) + chr(593 - 543) + '\x35' + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(4129 - 4018) + chr(0b1001 + 0o50) + chr(0b1111 + 0o45), 32716 - 32708), ehT0Px3KOsy9(chr(48) + chr(10517 - 10406) + '\x33' + '\066' + chr(51), 4162 - 4154), ehT0Px3KOsy9(chr(2243 - 2195) + chr(0b1101111) + chr(0b10111 + 0o36) + chr(0b110011), 309 - 301), ehT0Px3KOsy9('\060' + '\157' + chr(1665 - 1615) + chr(712 - 659) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\x30' + '\061', 65497 - 65489), ehT0Px3KOsy9(chr(48) + chr(5653 - 5542) + chr(51) + chr(50) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(50) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100100 + 0o15) + chr(0b11000 + 0o36) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(51) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(49) + chr(0b110000) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(7892 - 7781) + '\x32' + chr(0b101000 + 0o10) + chr(0b10010 + 0o44), 0b1000), ehT0Px3KOsy9(chr(2106 - 2058) + '\x6f' + '\x34' + chr(0b110100 + 0o1), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + chr(894 - 845) + chr(0b10001 + 0o40) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(50) + chr(0b110100) + '\x31', 0o10), ehT0Px3KOsy9(chr(1327 - 1279) + '\x6f' + '\x31' + chr(0b110100) + chr(0b11101 + 0o31), 0b1000), ehT0Px3KOsy9(chr(311 - 263) + chr(0b1100011 + 0o14) + chr(682 - 632) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(1778 - 1729) + chr(645 - 594), 0b1000), ehT0Px3KOsy9(chr(1469 - 1421) + chr(1537 - 1426) + chr(51) + '\064' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1686 - 1638) + chr(5183 - 5072) + '\062' + chr(0b110111 + 0o0) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1455 - 1407) + chr(0b1100 + 0o143) + chr(54 - 4) + chr(0b100110 + 0o13) + chr(0b10000 + 0o46), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(9365 - 9254) + '\x31' + '\060' + chr(0b1000 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10677 - 10566) + chr(0b10000 + 0o42) + chr(54) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(55) + '\x37', 37314 - 37306), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1010 + 0o50) + chr(1591 - 1542) + '\x31', 38968 - 38960), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + chr(51) + chr(0b1010 + 0o54) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b100110 + 0o13) + '\065', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(54) + chr(0b10101 + 0o37), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101100 + 0o11) + '\060', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110101) + chr(75 - 25), 54850 - 54842), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\x34' + chr(2614 - 2561), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\063', 8), ehT0Px3KOsy9(chr(638 - 590) + chr(0b1000110 + 0o51) + chr(0b111 + 0o54) + chr(55) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10110 + 0o34) + '\063', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110101) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1'), chr(0b1100100) + chr(0b1100101) + chr(3545 - 3446) + chr(0b1011 + 0o144) + chr(6859 - 6759) + chr(101))(chr(2915 - 2798) + chr(0b11000 + 0o134) + chr(0b1011001 + 0o15) + chr(0b100100 + 0o11) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def SIkZeGCA53HL(oVre8I6UXc3b):
SIkZeGCA53HL = RyQ4N1viUrfz.c_int()
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2!\xd2\x0e{\xb1\xc0~\x96l\xcf\xb5\x80r\x1d7'), '\144' + chr(0b110001 + 0o64) + chr(0b1100011) + chr(111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(13137 - 13021) + chr(0b1100110) + '\x2d' + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x01\xcd-e\xb4\xe9V\x97Q\xf0\xb9'), '\x64' + chr(101) + chr(0b110000 + 0o63) + chr(11868 - 11757) + chr(100) + '\145')('\x75' + chr(0b1110100) + chr(102) + chr(0b101101) + '\070')), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x00\xeb=N'), chr(4051 - 3951) + '\x65' + '\x63' + chr(0b11011 + 0o124) + '\144' + chr(0b10 + 0o143))('\165' + chr(0b1001101 + 0o47) + chr(7119 - 7017) + chr(1527 - 1482) + chr(0b11000 + 0o40)))(SIkZeGCA53HL)))
return xafqLlk3kkUe(SIkZeGCA53HL, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\x14\xf4?\x7f\x90\xed=\xc0}\xe9\x8b'), '\144' + chr(6602 - 6501) + chr(0b1100011) + chr(111) + '\x64' + chr(0b1100100 + 0o1))('\165' + chr(116) + chr(3252 - 3150) + chr(0b11101 + 0o20) + '\070'))
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
KVStore.num_workers
|
def num_workers(self):
"""Returns the number of worker nodes.
Returns
-------
size :int
The number of worker nodes.
"""
size = ctypes.c_int()
check_call(_LIB.MXKVStoreGetGroupSize(self.handle, ctypes.byref(size)))
return size.value
|
python
|
def num_workers(self):
"""Returns the number of worker nodes.
Returns
-------
size :int
The number of worker nodes.
"""
size = ctypes.c_int()
check_call(_LIB.MXKVStoreGetGroupSize(self.handle, ctypes.byref(size)))
return size.value
|
[
"def",
"num_workers",
"(",
"self",
")",
":",
"size",
"=",
"ctypes",
".",
"c_int",
"(",
")",
"check_call",
"(",
"_LIB",
".",
"MXKVStoreGetGroupSize",
"(",
"self",
".",
"handle",
",",
"ctypes",
".",
"byref",
"(",
"size",
")",
")",
")",
"return",
"size",
".",
"value"
] |
Returns the number of worker nodes.
Returns
-------
size :int
The number of worker nodes.
|
[
"Returns",
"the",
"number",
"of",
"worker",
"nodes",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L526-L536
|
train
|
Returns the number of worker nodes in the group.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(12182 - 12071) + '\062' + chr(48) + chr(1510 - 1460), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + '\x32' + '\067' + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(1169 - 1114) + chr(48), 80 - 72), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\x31' + '\x37', 54245 - 54237), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + chr(891 - 839) + chr(2555 - 2504), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100101 + 0o12) + '\062' + chr(0b110011) + '\x33', 62061 - 62053), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\061' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(932 - 884) + chr(0b1000111 + 0o50) + '\063' + chr(0b110011 + 0o0) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x37' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b100101 + 0o14) + '\067', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(1743 - 1694) + chr(652 - 599), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x36' + chr(0b10010 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\064' + chr(0b101110 + 0o5), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101110 + 0o4) + chr(0b1110 + 0o44) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101100 + 0o7) + '\x33' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b110000 + 0o77) + chr(0b110011) + '\x33' + '\x36', 0o10), ehT0Px3KOsy9(chr(679 - 631) + chr(0b1000100 + 0o53) + chr(0b110010) + chr(0b110100) + chr(0b110011), 8), ehT0Px3KOsy9('\x30' + chr(4849 - 4738) + chr(0b110011) + chr(383 - 335) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1011010 + 0o25) + '\x32' + chr(1759 - 1706) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(51) + '\064' + chr(0b101111 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(935 - 887) + chr(0b1101111) + chr(1632 - 1582) + chr(53) + chr(1563 - 1515), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11 + 0o60) + chr(114 - 65) + chr(55), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1918 - 1867) + chr(900 - 849) + chr(1928 - 1878), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(1430 - 1380) + chr(0b110010) + chr(55), 63228 - 63220), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b100101 + 0o112) + chr(0b110001) + '\066' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(2218 - 2166) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(0b11010 + 0o125) + '\062' + chr(0b1001 + 0o53) + chr(1133 - 1078), 38888 - 38880), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\x35' + chr(55), 0o10), ehT0Px3KOsy9(chr(2248 - 2200) + chr(0b1101111) + chr(0b11011 + 0o26) + '\067' + chr(51), 37851 - 37843), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b11101 + 0o26) + chr(0b110010) + '\x37', 62684 - 62676), ehT0Px3KOsy9(chr(1290 - 1242) + '\157' + '\061' + chr(54) + chr(0b111 + 0o60), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(9437 - 9326) + chr(49), 37858 - 37850), ehT0Px3KOsy9(chr(48) + chr(3944 - 3833) + chr(0b100001 + 0o20) + '\060' + chr(55), 53899 - 53891), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b110110) + chr(0b110001), 28915 - 28907), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\061' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(10309 - 10198) + chr(51) + chr(1561 - 1512) + chr(0b110101), 3660 - 3652), ehT0Px3KOsy9('\x30' + '\157' + chr(124 - 73) + chr(48) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\060' + chr(55), 0o10), ehT0Px3KOsy9(chr(2145 - 2097) + chr(2688 - 2577) + chr(0b101100 + 0o5) + '\061', 49147 - 49139), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\064' + chr(0b111 + 0o57), 51765 - 51757)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xac'), chr(100) + chr(0b101101 + 0o70) + '\x63' + '\x6f' + chr(100) + chr(0b1011000 + 0o15))('\x75' + chr(116) + '\146' + chr(0b11 + 0o52) + chr(0b110011 + 0o5)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def c1aWEsj_NmYg(oVre8I6UXc3b):
NLcc3BCJnQka = RyQ4N1viUrfz.c_int()
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\xe4\xf3\x99p\xef"\xafZ\x88\xe8C\xe4\xe6\xb0\xab\xd3\x97\xc7\x98\xcd'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + '\144' + chr(10094 - 9993))('\x75' + chr(3689 - 3573) + chr(0b1000011 + 0o43) + chr(0b100100 + 0o11) + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\xc4\xec\xban\xea\x0b\x87[\xb5\xd7O'), chr(0b1000 + 0o134) + chr(0b1100101) + '\143' + chr(0b1001 + 0o146) + chr(100) + chr(0b1100101))('\x75' + '\164' + chr(0b1100110) + '\x2d' + chr(1105 - 1049))), xafqLlk3kkUe(RyQ4N1viUrfz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xc5\xca\xaaE'), '\144' + '\145' + '\x63' + chr(1127 - 1016) + chr(8372 - 8272) + chr(101))('\x75' + chr(1360 - 1244) + '\x66' + chr(0b100111 + 0o6) + chr(0b111000)))(NLcc3BCJnQka)))
return xafqLlk3kkUe(NLcc3BCJnQka, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xd1\xd5\xa8t\xce\x0f\xec\x0c\x99\xce}'), chr(100) + '\x65' + chr(0b1100011) + '\x6f' + chr(4878 - 4778) + chr(4720 - 4619))(chr(117) + chr(0b1000101 + 0o57) + '\146' + chr(45) + chr(981 - 925)))
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
KVStore.save_optimizer_states
|
def save_optimizer_states(self, fname, dump_optimizer=False):
"""Saves the optimizer (updater) state to a file. This is often used when checkpointing
the model during training.
Parameters
----------
fname : str
Path to the output states file.
dump_optimizer : bool, default False
Whether to also save the optimizer itself. This would also save optimizer
information such as learning rate and weight decay schedules.
"""
assert self._updater is not None, "Cannot save states for distributed training"
with open(fname, 'wb') as fout:
fout.write(self._updater.get_states(dump_optimizer))
|
python
|
def save_optimizer_states(self, fname, dump_optimizer=False):
"""Saves the optimizer (updater) state to a file. This is often used when checkpointing
the model during training.
Parameters
----------
fname : str
Path to the output states file.
dump_optimizer : bool, default False
Whether to also save the optimizer itself. This would also save optimizer
information such as learning rate and weight decay schedules.
"""
assert self._updater is not None, "Cannot save states for distributed training"
with open(fname, 'wb') as fout:
fout.write(self._updater.get_states(dump_optimizer))
|
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"_updater",
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"get_states",
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")",
")"
] |
Saves the optimizer (updater) state to a file. This is often used when checkpointing
the model during training.
Parameters
----------
fname : str
Path to the output states file.
dump_optimizer : bool, default False
Whether to also save the optimizer itself. This would also save optimizer
information such as learning rate and weight decay schedules.
|
[
"Saves",
"the",
"optimizer",
"(",
"updater",
")",
"state",
"to",
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"file",
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"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L538-L552
|
train
|
Saves the optimizer state to a file.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b10100 + 0o43) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(49) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10958 - 10847) + chr(0b101111 + 0o3) + '\x37' + chr(0b101 + 0o61), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1330 - 1279) + '\065' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + '\063' + '\x30' + '\063', 37246 - 37238), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b111011 + 0o64) + chr(0b11000 + 0o33) + chr(54) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1163 - 1115) + chr(7930 - 7819) + chr(1875 - 1824) + '\063' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(138 - 90) + chr(0b1101111) + chr(0b100001 + 0o21) + '\062' + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111110 + 0o61) + chr(0b110010) + chr(0b110111) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1018 - 967) + chr(54) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6756 - 6645) + chr(49) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1181 - 1133) + chr(111) + chr(0b110100) + chr(0b10011 + 0o35), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(235 - 184) + '\066' + chr(55), 8), ehT0Px3KOsy9('\x30' + chr(4202 - 4091) + chr(0b11110 + 0o23) + '\x31' + chr(0b111 + 0o51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101001 + 0o11) + chr(0b1001 + 0o52) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\066' + '\064', 329 - 321), ehT0Px3KOsy9(chr(1295 - 1247) + chr(0b1101111) + chr(1753 - 1704) + '\065' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b101011 + 0o11) + chr(49), 35281 - 35273), ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + '\x32' + chr(0b110111) + chr(53), 30224 - 30216), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + chr(0b110010) + '\x36' + chr(0b11110 + 0o26), 37363 - 37355), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + '\063' + chr(0b110101) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + chr(0b110001) + '\066' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(6135 - 6024) + chr(0b110011) + chr(0b110000) + chr(0b1101 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10070 - 9959) + chr(0b11000 + 0o31) + chr(2066 - 2018) + chr(0b101101 + 0o7), 0b1000), ehT0Px3KOsy9(chr(1326 - 1278) + chr(10825 - 10714) + '\x32' + '\065' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(1768 - 1657) + '\063' + chr(48) + chr(0b110111 + 0o0), 0b1000), ehT0Px3KOsy9('\060' + chr(11460 - 11349) + '\x33' + '\063' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(55) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(0b11111 + 0o120) + '\x36' + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b10001 + 0o42) + chr(0b11101 + 0o24), 8), ehT0Px3KOsy9(chr(2207 - 2159) + '\157' + chr(0b100110 + 0o13) + chr(0b110000) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\x36' + '\067', 17971 - 17963), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(3413 - 3302) + '\x36' + chr(2278 - 2227), 35448 - 35440), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b110010) + '\064' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10000 + 0o41) + '\x36' + chr(1913 - 1862), 27495 - 27487), ehT0Px3KOsy9(chr(1134 - 1086) + chr(111) + '\x31' + '\x30' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + chr(0b110001) + chr(0b101111 + 0o1) + '\063', 8), ehT0Px3KOsy9(chr(1143 - 1095) + '\x6f' + '\x31' + '\064', 45411 - 45403)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(0b100000 + 0o20), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0'), '\x64' + chr(0b1100 + 0o131) + chr(0b110000 + 0o63) + chr(0b1101111) + chr(100) + chr(1886 - 1785))('\x75' + chr(0b10001 + 0o143) + chr(9850 - 9748) + chr(0b101100 + 0o1) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NOVHlewTW2ug(oVre8I6UXc3b, t3WbF0Ae42Pu, cqBSfT1QPDuH=ehT0Px3KOsy9('\x30' + chr(3035 - 2924) + '\x30', 8)):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1}\xce\x8d\xa2\x81\xbc]'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(5766 - 5666) + chr(101))('\x75' + chr(116) + '\146' + chr(0b101101) + '\070')) is not None, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbdi\xd0\x87\xac\x81\xf9\\\xf4\xcee\xd7|T\x96<\xf9GM\x07\xd2\xc6\xcf\x13\xa97\xd9\xb5\xb4\x9eB\xad&\xd3\x13\xd2\x01 *b\x97f\xd9'), '\x64' + chr(0b101111 + 0o66) + '\x63' + '\157' + chr(2817 - 2717) + chr(101))(chr(117) + chr(0b1110100) + chr(8775 - 8673) + chr(45) + chr(3109 - 3053))
with _fwkIVCGgtAN(t3WbF0Ae42Pu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89j'), chr(1446 - 1346) + '\145' + chr(0b100111 + 0o74) + chr(0b1011110 + 0o21) + '\x64' + chr(101))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(45) + chr(0b111000))) as jd8s7Uh8ek48:
xafqLlk3kkUe(jd8s7Uh8ek48, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89z\xd7\x9d\xa6'), chr(0b1010001 + 0o23) + chr(3425 - 3324) + '\x63' + chr(111) + '\144' + chr(101))('\165' + chr(10289 - 10173) + chr(102) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b._updater, xafqLlk3kkUe(SXOLrMavuUCe(b'\x99m\xca\xb6\xb0\x81\xb8[\xf0\xcb'), chr(7475 - 7375) + '\145' + chr(0b1100011) + chr(4767 - 4656) + chr(0b1011010 + 0o12) + chr(0b1011010 + 0o13))('\165' + chr(5519 - 5403) + chr(3431 - 3329) + chr(0b111 + 0o46) + chr(0b111000)))(cqBSfT1QPDuH))
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
KVStore.load_optimizer_states
|
def load_optimizer_states(self, fname):
"""Loads the optimizer (updater) state from the file.
Parameters
----------
fname : str
Path to input states file.
"""
assert self._updater is not None, "Cannot load states for distributed training"
self._updater.set_states(open(fname, 'rb').read())
|
python
|
def load_optimizer_states(self, fname):
"""Loads the optimizer (updater) state from the file.
Parameters
----------
fname : str
Path to input states file.
"""
assert self._updater is not None, "Cannot load states for distributed training"
self._updater.set_states(open(fname, 'rb').read())
|
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"\"Cannot load states for distributed training\"",
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"(",
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"fname",
",",
"'rb'",
")",
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"read",
"(",
")",
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] |
Loads the optimizer (updater) state from the file.
Parameters
----------
fname : str
Path to input states file.
|
[
"Loads",
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L554-L563
|
train
|
Loads the optimizer state from the file.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\065' + chr(726 - 677), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2023 - 1969) + chr(0b1000 + 0o54), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(79 - 29) + '\x30' + '\067', 56156 - 56148), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(51) + '\x37' + chr(588 - 540), ord("\x08")), ehT0Px3KOsy9(chr(2048 - 2000) + chr(0b1101111) + '\x31' + chr(0b110000 + 0o7), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + '\x33' + '\060' + chr(1796 - 1747), 11438 - 11430), ehT0Px3KOsy9('\x30' + chr(111) + '\x37' + chr(54), 31242 - 31234), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\067', 27285 - 27277), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(48) + chr(0b11001 + 0o31), 21836 - 21828), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1369 - 1320) + '\x33' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(313 - 202) + chr(49) + chr(0b110011) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\x34' + chr(0b100111 + 0o14), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2062 - 2013) + chr(2367 - 2315) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110100) + chr(0b100000 + 0o24), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011111 + 0o20) + chr(1895 - 1845) + '\x33' + chr(49), 0o10), ehT0Px3KOsy9(chr(1972 - 1924) + '\x6f' + chr(2339 - 2289) + '\x32' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(307 - 196) + '\062' + chr(1912 - 1861), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b10001 + 0o37) + chr(143 - 92), 50816 - 50808), ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + '\061' + chr(1388 - 1334) + chr(50), 12051 - 12043), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(1651 - 1601) + '\x35' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(0b110001) + '\x34' + chr(0b101101 + 0o10), 55847 - 55839), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100001 + 0o22) + chr(51) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110100) + chr(0b110001 + 0o0), 25672 - 25664), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(852 - 741) + chr(0b110101) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + chr(0b110001) + '\062' + chr(1559 - 1507), 8933 - 8925), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(49) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1024 - 913) + chr(50) + chr(493 - 444) + chr(0b100101 + 0o20), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10110 + 0o34) + chr(51) + chr(48), 15525 - 15517), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\067' + chr(1963 - 1911), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10110 + 0o34) + chr(50) + '\063', 44813 - 44805), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(11290 - 11179) + '\062' + chr(51) + chr(0b110100), 1640 - 1632), ehT0Px3KOsy9(chr(1846 - 1798) + '\157' + chr(0b11101 + 0o24) + chr(0b0 + 0o66), ord("\x08")), ehT0Px3KOsy9(chr(788 - 740) + chr(7971 - 7860) + '\x33' + chr(0b10010 + 0o37) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(6839 - 6728) + '\063' + chr(0b110100) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(1732 - 1621) + chr(52) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110110) + chr(1742 - 1693), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110100) + chr(0b101000 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(914 - 866) + '\157' + '\062' + chr(53) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(49) + chr(2192 - 2139) + chr(0b110010 + 0o5), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(2146 - 2035) + chr(0b110101) + chr(1410 - 1362), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'G'), '\x64' + chr(0b11100 + 0o111) + chr(0b1100011) + chr(0b100 + 0o153) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(6485 - 6383) + chr(1779 - 1734) + chr(0b1010 + 0o56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Z_tYAi2ifgjv(oVre8I6UXc3b, t3WbF0Ae42Pu):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'6A\xf7\x9cn\xb5[m'), chr(0b1010000 + 0o24) + chr(2983 - 2882) + '\x63' + chr(111) + chr(0b1100001 + 0o3) + '\145')(chr(0b1011011 + 0o32) + chr(11218 - 11102) + chr(0b1100110) + '\x2d' + '\x38')) is not None, xafqLlk3kkUe(SXOLrMavuUCe(b'*U\xe9\x96`\xb5\x1es-98C\x17P\xf8\xe4v\xb0R\xcc\n\xaf\x01O=\xf8\xf9w\xf1\x1e\xe6\xe8k\xac\xc7R\xc3C\xc6\x01\x00Z\xe0'), '\x64' + chr(101) + chr(0b1010101 + 0o16) + '\157' + '\x64' + chr(0b110 + 0o137))('\165' + '\x74' + '\146' + chr(0b101101) + chr(3090 - 3034))
xafqLlk3kkUe(oVre8I6UXc3b._updater, xafqLlk3kkUe(SXOLrMavuUCe(b"\x1aQ\xf3\xa7|\xb5_k'+"), chr(5298 - 5198) + '\145' + '\143' + chr(0b1011101 + 0o22) + '\144' + '\x65')('\x75' + chr(116) + '\x66' + chr(0b101101) + chr(1702 - 1646)))(xafqLlk3kkUe(_fwkIVCGgtAN(t3WbF0Ae42Pu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bV'), '\x64' + '\145' + '\143' + '\x6f' + chr(0b100001 + 0o103) + chr(0b1100000 + 0o5))('\165' + '\164' + chr(102) + chr(1625 - 1580) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'<\x02\xca\x91X\xb3Vj\x011n:'), chr(5296 - 5196) + '\145' + chr(0b1100011) + chr(0b1110 + 0o141) + chr(0b1100100 + 0o0) + chr(101))('\165' + chr(116) + chr(5293 - 5191) + chr(45) + chr(56)))())
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
KVStore._set_updater
|
def _set_updater(self, updater):
"""Sets a push updater into the store.
This function only changes the local store. When running on multiple machines one must
use `set_optimizer`.
Parameters
----------
updater : function
The updater function.
Examples
--------
>>> def update(key, input, stored):
... print "update on key: %d" % key
... stored += input * 2
>>> kv._set_updater(update)
>>> kv.pull('3', out=a)
>>> print a.asnumpy()
[[ 4. 4. 4.]
[ 4. 4. 4.]]
>>> kv.push('3', mx.nd.ones(shape))
update on key: 3
>>> kv.pull('3', out=a)
>>> print a.asnumpy()
[[ 6. 6. 6.]
[ 6. 6. 6.]]
"""
self._updater = updater
# set updater with int keys
_updater_proto = ctypes.CFUNCTYPE(
None, ctypes.c_int, NDArrayHandle, NDArrayHandle, ctypes.c_void_p)
self._updater_func = _updater_proto(_updater_wrapper(updater))
# set updater with str keys
_str_updater_proto = ctypes.CFUNCTYPE(
None, ctypes.c_char_p, NDArrayHandle, NDArrayHandle, ctypes.c_void_p)
self._str_updater_func = _str_updater_proto(_updater_wrapper(updater))
check_call(_LIB.MXKVStoreSetUpdaterEx(self.handle, self._updater_func,
self._str_updater_func, None))
|
python
|
def _set_updater(self, updater):
"""Sets a push updater into the store.
This function only changes the local store. When running on multiple machines one must
use `set_optimizer`.
Parameters
----------
updater : function
The updater function.
Examples
--------
>>> def update(key, input, stored):
... print "update on key: %d" % key
... stored += input * 2
>>> kv._set_updater(update)
>>> kv.pull('3', out=a)
>>> print a.asnumpy()
[[ 4. 4. 4.]
[ 4. 4. 4.]]
>>> kv.push('3', mx.nd.ones(shape))
update on key: 3
>>> kv.pull('3', out=a)
>>> print a.asnumpy()
[[ 6. 6. 6.]
[ 6. 6. 6.]]
"""
self._updater = updater
# set updater with int keys
_updater_proto = ctypes.CFUNCTYPE(
None, ctypes.c_int, NDArrayHandle, NDArrayHandle, ctypes.c_void_p)
self._updater_func = _updater_proto(_updater_wrapper(updater))
# set updater with str keys
_str_updater_proto = ctypes.CFUNCTYPE(
None, ctypes.c_char_p, NDArrayHandle, NDArrayHandle, ctypes.c_void_p)
self._str_updater_func = _str_updater_proto(_updater_wrapper(updater))
check_call(_LIB.MXKVStoreSetUpdaterEx(self.handle, self._updater_func,
self._str_updater_func, None))
|
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] |
Sets a push updater into the store.
This function only changes the local store. When running on multiple machines one must
use `set_optimizer`.
Parameters
----------
updater : function
The updater function.
Examples
--------
>>> def update(key, input, stored):
... print "update on key: %d" % key
... stored += input * 2
>>> kv._set_updater(update)
>>> kv.pull('3', out=a)
>>> print a.asnumpy()
[[ 4. 4. 4.]
[ 4. 4. 4.]]
>>> kv.push('3', mx.nd.ones(shape))
update on key: 3
>>> kv.pull('3', out=a)
>>> print a.asnumpy()
[[ 6. 6. 6.]
[ 6. 6. 6.]]
|
[
"Sets",
"a",
"push",
"updater",
"into",
"the",
"store",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L565-L603
|
train
|
Sets a push updater into the store.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b1000001 + 0o56) + chr(0b10011 + 0o40) + chr(0b101000 + 0o14) + chr(1397 - 1346), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(546 - 494) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b1010 + 0o46) + chr(0b1000 + 0o51), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + chr(50) + '\060' + '\x36', 0o10), ehT0Px3KOsy9(chr(653 - 605) + chr(11195 - 11084) + '\x33' + '\066' + chr(0b11010 + 0o30), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\x30' + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11010 + 0o30) + '\064' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + '\x31' + '\061' + chr(52), 38633 - 38625), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\065' + '\061', 42862 - 42854), ehT0Px3KOsy9('\060' + chr(6314 - 6203) + '\063' + chr(0b11110 + 0o22) + chr(0b110000), 58050 - 58042), ehT0Px3KOsy9(chr(48) + chr(1570 - 1459) + chr(0b110010) + chr(314 - 266) + chr(0b1 + 0o66), 11961 - 11953), ehT0Px3KOsy9(chr(522 - 474) + chr(0b1101111) + chr(978 - 927) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(409 - 361) + chr(0b110 + 0o151) + chr(0b110001) + chr(48) + '\063', 43926 - 43918), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2107 - 2052) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(51) + chr(0b11101 + 0o32) + '\063', 54841 - 54833), ehT0Px3KOsy9(chr(48) + chr(11599 - 11488) + '\063' + chr(1712 - 1658) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10309 - 10198) + chr(0b110101 + 0o0) + chr(0b11010 + 0o32), 35761 - 35753), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11100 + 0o26) + chr(871 - 820) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3677 - 3566) + chr(49) + chr(0b100011 + 0o20) + chr(1981 - 1930), ord("\x08")), ehT0Px3KOsy9(chr(335 - 287) + chr(0b1000010 + 0o55) + '\062' + chr(0b1 + 0o60) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(1493 - 1445) + '\x34', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(746 - 695) + '\x31' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10001 + 0o41) + '\061' + '\x30', 8), ehT0Px3KOsy9(chr(48) + chr(10025 - 9914) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b110010) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1313 - 1265) + '\157' + '\062' + chr(49) + chr(711 - 662), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b110010) + chr(0b11010 + 0o27) + '\062', 9801 - 9793), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(49) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1120 - 1071) + '\065' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + '\061' + '\063' + chr(1272 - 1223), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(1866 - 1815) + chr(0b110000) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010111 + 0o30) + chr(1002 - 948) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b11011 + 0o30) + chr(0b110101) + '\065', 16550 - 16542), ehT0Px3KOsy9(chr(0b110000) + chr(3521 - 3410) + '\x32' + chr(0b101010 + 0o6) + chr(0b100 + 0o56), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10100 + 0o36) + '\060' + chr(0b110011), 53694 - 53686), ehT0Px3KOsy9('\x30' + chr(0b111011 + 0o64) + chr(0b1000 + 0o52) + chr(0b1011 + 0o54) + chr(52), 64383 - 64375), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\066' + chr(826 - 778), 4422 - 4414), ehT0Px3KOsy9('\x30' + chr(111) + chr(1130 - 1081) + chr(1817 - 1766) + chr(0b100101 + 0o16), 8), ehT0Px3KOsy9(chr(0b110000) + chr(11699 - 11588) + '\x31' + chr(0b110010) + chr(0b110010), 8), ehT0Px3KOsy9(chr(2130 - 2082) + chr(0b101011 + 0o104) + '\062' + chr(0b100011 + 0o23) + chr(54), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(0b110101) + chr(0b1110 + 0o42), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd'), '\144' + chr(101) + '\143' + chr(0b1101111) + '\x64' + '\145')(chr(117) + chr(0b1110100) + chr(102) + chr(674 - 629) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def CWg581BDhByK(oVre8I6UXc3b, xZ9ED1z8lews):
oVre8I6UXc3b.C4IJTFcX0rB9 = xZ9ED1z8lews
bRG8E_cGN83g = RyQ4N1viUrfz.CFUNCTYPE(None, RyQ4N1viUrfz.c_int, v4apgis0SrXp, v4apgis0SrXp, RyQ4N1viUrfz.c_void_p)
oVre8I6UXc3b.Y15dh2LId6iU = bRG8E_cGN83g(PqDgi75a1n7m(xZ9ED1z8lews))
_PEWIySN37xU = RyQ4N1viUrfz.CFUNCTYPE(None, RyQ4N1viUrfz.c_char_p, v4apgis0SrXp, v4apgis0SrXp, RyQ4N1viUrfz.c_void_p)
oVre8I6UXc3b.sGCwMpNt0sPC = _PEWIySN37xU(PqDgi75a1n7m(xZ9ED1z8lews))
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\x7f\x8a\xd0\xa1\xb0\xc8>\x8c\x93\xe2l\x16J\x9f\x97X\xf8)\xcd\xbc'), chr(0b1100100) + '\145' + '\x63' + '\x6f' + '\144' + chr(0b1001110 + 0o27))(chr(0b1110101) + chr(116) + chr(102) + '\055' + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0_\x95\xf3\xbf\xb5\xe1\x16\x8d\xba\xdd`'), '\x64' + chr(101) + chr(99) + chr(0b1101111) + '\x64' + '\x65')('\165' + chr(116) + chr(102) + '\055' + chr(0b111000))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x16\xf4\xe2\x9a\xf6\xeb\x05\x8d\xf6\xeeM'), chr(0b1001010 + 0o32) + chr(0b110100 + 0o61) + chr(99) + chr(0b1101111) + '\x64' + chr(101))('\x75' + chr(116) + '\x66' + '\055' + chr(2789 - 2733))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90`\x82\xf1\xbf\xb4\xe98\xd9\xb3\xd7['), chr(100) + chr(101) + chr(0b1100011) + chr(111) + chr(8463 - 8363) + chr(0b1100101))('\165' + chr(116) + '\x66' + '\055' + '\070')), None))
|
apache/incubator-mxnet
|
python/mxnet/kvstore.py
|
KVStore._send_command_to_servers
|
def _send_command_to_servers(self, head, body):
"""Sends a command to all server nodes.
Sending command to a server node will cause that server node to invoke
``KVStoreServer.controller`` to execute the command.
This function returns after the command has been executed on all server
nodes.
Parameters
----------
head : int
the head of the command.
body : str
the body of the command.
"""
check_call(_LIB.MXKVStoreSendCommmandToServers(
self.handle, mx_uint(head), c_str(body)))
|
python
|
def _send_command_to_servers(self, head, body):
"""Sends a command to all server nodes.
Sending command to a server node will cause that server node to invoke
``KVStoreServer.controller`` to execute the command.
This function returns after the command has been executed on all server
nodes.
Parameters
----------
head : int
the head of the command.
body : str
the body of the command.
"""
check_call(_LIB.MXKVStoreSendCommmandToServers(
self.handle, mx_uint(head), c_str(body)))
|
[
"def",
"_send_command_to_servers",
"(",
"self",
",",
"head",
",",
"body",
")",
":",
"check_call",
"(",
"_LIB",
".",
"MXKVStoreSendCommmandToServers",
"(",
"self",
".",
"handle",
",",
"mx_uint",
"(",
"head",
")",
",",
"c_str",
"(",
"body",
")",
")",
")"
] |
Sends a command to all server nodes.
Sending command to a server node will cause that server node to invoke
``KVStoreServer.controller`` to execute the command.
This function returns after the command has been executed on all server
nodes.
Parameters
----------
head : int
the head of the command.
body : str
the body of the command.
|
[
"Sends",
"a",
"command",
"to",
"all",
"server",
"nodes",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/kvstore.py#L616-L633
|
train
|
Sends a command to all server nodes.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\x33' + chr(54), 212 - 204), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(51) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + chr(0b1011 + 0o50) + '\x34' + chr(50), 47566 - 47558), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b101110 + 0o10) + chr(1259 - 1204), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2418 - 2368) + chr(0b10000 + 0o45) + chr(0b1001 + 0o52), 33359 - 33351), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(2408 - 2354) + '\x34', 7690 - 7682), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(49) + '\x34' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2032 - 1981) + chr(0b11001 + 0o35), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101100 + 0o3) + chr(50) + chr(0b10100 + 0o43) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(132 - 82) + chr(0b110001) + chr(0b110011), 25858 - 25850), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(51) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(0b110010) + '\061' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(0b110001) + '\060' + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(48) + chr(784 - 730), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b110110) + chr(52), 8), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + '\061' + '\x34' + chr(0b101010 + 0o11), ord("\x08")), ehT0Px3KOsy9('\060' + chr(11335 - 11224) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + '\062' + '\x35' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(427 - 377) + chr(54) + chr(154 - 100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8803 - 8692) + chr(49) + chr(0b1011 + 0o46) + chr(1840 - 1785), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10 + 0o64) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101011 + 0o10) + '\x33' + chr(52), 18952 - 18944), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(1070 - 1020) + chr(0b100010 + 0o22) + '\x33', 47638 - 47630), ehT0Px3KOsy9(chr(1034 - 986) + chr(736 - 625) + chr(0b110001) + '\x32' + chr(99 - 45), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b100 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001000 + 0o47) + '\062' + '\063', 54765 - 54757), ehT0Px3KOsy9('\060' + '\x6f' + '\064' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1437 - 1389) + chr(6499 - 6388) + '\x33' + '\061' + chr(2499 - 2446), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(717 - 606) + chr(50) + '\063' + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + chr(49) + '\x36' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5099 - 4988) + chr(0b10101 + 0o34) + '\x37' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2427 - 2377) + chr(51), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1614 - 1564) + chr(0b110101) + chr(0b110001), 8), ehT0Px3KOsy9(chr(1684 - 1636) + chr(0b1101111) + chr(0b110001) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(0b0 + 0o62) + chr(0b110110) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1617 - 1565) + chr(0b11000 + 0o36), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10001 + 0o42) + chr(66 - 11) + chr(1083 - 1028), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(11341 - 11230) + chr(0b10110 + 0o37) + chr(960 - 912), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'p'), chr(763 - 663) + '\145' + '\x63' + chr(617 - 506) + chr(0b100000 + 0o104) + chr(0b1100101))(chr(7150 - 7033) + chr(0b1110100) + chr(0b1000 + 0o136) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def LSoEYGAVAfpI(oVre8I6UXc3b, jTNf3myQ667Q, TD8C81EGml3n):
VQ8g4dauNDMW(xafqLlk3kkUe(Wotx5x7oxVzK, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xc2\xa9\xa1\xf8z\x9b\x17{\xe8y\xe5\xff\xce(\xab\x99\x0ed\xc7\xd2\x1b_\x8f\xc6$nvW\xbe'), chr(2788 - 2688) + '\145' + chr(0b1011010 + 0o11) + chr(0b1101111) + chr(0b1010 + 0o132) + '\x65')(chr(9871 - 9754) + chr(116) + '\x66' + '\055' + chr(0b11100 + 0o34)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xe2\xb6\x82\xe6\x7f\xb2?z\xc1F\xf3'), '\144' + '\x65' + chr(0b1100010 + 0o1) + chr(0b1101111) + chr(7795 - 7695) + '\x65')('\x75' + chr(0b101110 + 0o106) + chr(0b1010011 + 0o23) + chr(0b101101) + chr(2889 - 2833))), RSEUJ_H3k51M(jTNf3myQ667Q), ZYHUZuTony_e(TD8C81EGml3n)))
|
apache/incubator-mxnet
|
python/mxnet/module/sequential_module.py
|
SequentialModule.add
|
def add(self, module, **kwargs):
"""Add a module to the chain.
Parameters
----------
module : BaseModule
The new module to add.
kwargs : ``**keywords``
All the keyword arguments are saved as meta information
for the added module. The currently known meta includes
- `take_labels`: indicating whether the module expect to
take labels when doing computation. Note any module in
the chain can take labels (not necessarily only the top
most one), and they all take the same labels passed
from the original data batch for the `SequentialModule`.
Returns
-------
self
This function returns `self` to allow us to easily chain a
series of `add` calls.
Examples
--------
>>> # An example of addinging two modules to a chain.
>>> seq_mod = mx.mod.SequentialModule()
>>> seq_mod.add(mod1)
>>> seq_mod.add(mod2)
"""
self._modules.append(module)
# a sanity check to avoid typo
for key in kwargs:
assert key in self._meta_keys, ('Unknown meta "%s", a typo?' % key)
self._metas.append(kwargs)
# after adding new modules, we are reset back to raw states, needs
# to bind, init_params, etc.
self.binded = False
self.params_initialized = False
self.optimizer_initialized = False
return self
|
python
|
def add(self, module, **kwargs):
"""Add a module to the chain.
Parameters
----------
module : BaseModule
The new module to add.
kwargs : ``**keywords``
All the keyword arguments are saved as meta information
for the added module. The currently known meta includes
- `take_labels`: indicating whether the module expect to
take labels when doing computation. Note any module in
the chain can take labels (not necessarily only the top
most one), and they all take the same labels passed
from the original data batch for the `SequentialModule`.
Returns
-------
self
This function returns `self` to allow us to easily chain a
series of `add` calls.
Examples
--------
>>> # An example of addinging two modules to a chain.
>>> seq_mod = mx.mod.SequentialModule()
>>> seq_mod.add(mod1)
>>> seq_mod.add(mod2)
"""
self._modules.append(module)
# a sanity check to avoid typo
for key in kwargs:
assert key in self._meta_keys, ('Unknown meta "%s", a typo?' % key)
self._metas.append(kwargs)
# after adding new modules, we are reset back to raw states, needs
# to bind, init_params, etc.
self.binded = False
self.params_initialized = False
self.optimizer_initialized = False
return self
|
[
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"add",
"(",
"self",
",",
"module",
",",
"*",
"*",
"kwargs",
")",
":",
"self",
".",
"_modules",
".",
"append",
"(",
"module",
")",
"# a sanity check to avoid typo",
"for",
"key",
"in",
"kwargs",
":",
"assert",
"key",
"in",
"self",
".",
"_meta_keys",
",",
"(",
"'Unknown meta \"%s\", a typo?'",
"%",
"key",
")",
"self",
".",
"_metas",
".",
"append",
"(",
"kwargs",
")",
"# after adding new modules, we are reset back to raw states, needs",
"# to bind, init_params, etc.",
"self",
".",
"binded",
"=",
"False",
"self",
".",
"params_initialized",
"=",
"False",
"self",
".",
"optimizer_initialized",
"=",
"False",
"return",
"self"
] |
Add a module to the chain.
Parameters
----------
module : BaseModule
The new module to add.
kwargs : ``**keywords``
All the keyword arguments are saved as meta information
for the added module. The currently known meta includes
- `take_labels`: indicating whether the module expect to
take labels when doing computation. Note any module in
the chain can take labels (not necessarily only the top
most one), and they all take the same labels passed
from the original data batch for the `SequentialModule`.
Returns
-------
self
This function returns `self` to allow us to easily chain a
series of `add` calls.
Examples
--------
>>> # An example of addinging two modules to a chain.
>>> seq_mod = mx.mod.SequentialModule()
>>> seq_mod.add(mod1)
>>> seq_mod.add(mod2)
|
[
"Add",
"a",
"module",
"to",
"the",
"chain",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/sequential_module.py#L52-L97
|
train
|
Add a module to the chain.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(10403 - 10292) + chr(0b1111 + 0o42) + chr(2093 - 2043) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\063' + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(6565 - 6454) + chr(0b110001) + chr(48) + chr(992 - 937), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000101 + 0o52) + '\063' + chr(1184 - 1131) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(1798 - 1750) + '\x6f' + '\064' + chr(0b110110), 19417 - 19409), ehT0Px3KOsy9(chr(1673 - 1625) + chr(0b1101111) + chr(0b110010) + chr(0b110010 + 0o2) + '\060', 51977 - 51969), ehT0Px3KOsy9(chr(189 - 141) + chr(9053 - 8942) + chr(51) + chr(48) + chr(0b110110), 25572 - 25564), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(1526 - 1474) + chr(0b110010), 36374 - 36366), ehT0Px3KOsy9(chr(0b110000) + chr(8917 - 8806) + '\062' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b100111 + 0o110) + '\x33' + chr(0b110011) + chr(0b110011), 36211 - 36203), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + chr(49) + chr(50) + chr(1197 - 1148), 8889 - 8881), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(51) + '\064' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1649 - 1601) + chr(872 - 761) + chr(49) + '\060' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1413 - 1363), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2134 - 2080), 54400 - 54392), ehT0Px3KOsy9(chr(0b110000) + chr(0b101001 + 0o106) + chr(53) + chr(53), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(1766 - 1717) + chr(0b110111) + chr(0b10010 + 0o44), 19630 - 19622), ehT0Px3KOsy9(chr(105 - 57) + chr(0b1000101 + 0o52) + chr(0b10011 + 0o36) + '\x31' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + '\x33' + chr(0b110 + 0o52) + chr(551 - 498), 15152 - 15144), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(6716 - 6605) + '\x33' + '\x30' + chr(0b110101), 8), ehT0Px3KOsy9(chr(972 - 924) + chr(0b1000 + 0o147) + '\065' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1001 + 0o52) + '\x37' + '\066', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(50) + '\061' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(314 - 264) + '\x31' + chr(0b10001 + 0o45), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b10000 + 0o46) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11794 - 11683) + '\064' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(8110 - 7999) + '\x33' + '\062' + chr(54), 57271 - 57263), ehT0Px3KOsy9(chr(48) + chr(111) + chr(54) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(268 - 220) + chr(0b1100001 + 0o16) + chr(49) + '\x33' + '\066', 33756 - 33748), ehT0Px3KOsy9('\060' + chr(0b11001 + 0o126) + '\x33' + '\067' + chr(0b110110), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(54) + chr(2174 - 2126), ord("\x08")), ehT0Px3KOsy9(chr(1456 - 1408) + chr(111) + '\063' + chr(0b101101 + 0o6) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10011 + 0o40) + chr(51) + chr(0b110000), 35124 - 35116), ehT0Px3KOsy9(chr(1786 - 1738) + chr(0b10010 + 0o135) + chr(602 - 551) + chr(0b110110) + chr(0b10010 + 0o45), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + chr(2139 - 2089) + chr(0b110000 + 0o4) + chr(1800 - 1749), 10277 - 10269), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b110011) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b0 + 0o63) + chr(51), 50932 - 50924), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1100110 + 0o11) + chr(2135 - 2082) + '\x31', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + chr(0b110101) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'{'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(8991 - 8874) + '\164' + chr(0b1100110) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uJ0q9cG5ZOR3(oVre8I6UXc3b, RqocVGOryNPv, **M8EIoTs2GJXE):
xafqLlk3kkUe(oVre8I6UXc3b._modules, xafqLlk3kkUe(SXOLrMavuUCe(b'4+7\x8bH\xc4'), '\144' + '\x65' + chr(0b1100011) + chr(6029 - 5918) + chr(100) + chr(101))('\165' + '\164' + '\x66' + chr(389 - 344) + chr(2081 - 2025)))(RqocVGOryNPv)
for K3J4ZwSlE0sT in M8EIoTs2GJXE:
assert K3J4ZwSlE0sT in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\n6"\x9aG\xff\xadGl\xa8'), '\144' + '\145' + chr(0b100000 + 0o103) + chr(2871 - 2760) + '\x64' + chr(0b1100101))('\165' + chr(11990 - 11874) + chr(3040 - 2938) + chr(45) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b"\x005,\x80I\xd7\xa8\x02x\xbe%\x87e\x0f'u\x0fRme\xe5\xb1W\x8e\xe2\xb1"), chr(100) + '\x65' + chr(99) + chr(8092 - 7981) + chr(0b10 + 0o142) + '\x65')(chr(117) + chr(3900 - 3784) + chr(0b111111 + 0o47) + chr(1998 - 1953) + chr(710 - 654)) % K3J4ZwSlE0sT
xafqLlk3kkUe(oVre8I6UXc3b._metas, xafqLlk3kkUe(SXOLrMavuUCe(b'4+7\x8bH\xc4'), '\144' + chr(101) + chr(0b110011 + 0o60) + '\x6f' + chr(548 - 448) + '\x65')(chr(2107 - 1990) + chr(8626 - 8510) + chr(0b1100110) + chr(0b100100 + 0o11) + chr(0b111000)))(M8EIoTs2GJXE)
oVre8I6UXc3b.vUSqLv5CM1Wp = ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(348 - 300), 20027 - 20019)
oVre8I6UXc3b.L8zzpQHE4Ozm = ehT0Px3KOsy9('\060' + '\157' + '\x30', 8)
oVre8I6UXc3b.ctv6B9B5H79m = ehT0Px3KOsy9(chr(0b110000) + chr(0b110100 + 0o73) + '\060', 8)
return oVre8I6UXc3b
|
apache/incubator-mxnet
|
python/mxnet/module/sequential_module.py
|
SequentialModule.get_params
|
def get_params(self):
"""Gets current parameters.
Returns
-------
(arg_params, aux_params)
A pair of dictionaries each mapping parameter names to NDArray values. This
is a merged dictionary of all the parameters in the modules.
"""
assert self.binded and self.params_initialized
arg_params = dict()
aux_params = dict()
for module in self._modules:
arg, aux = module.get_params()
arg_params.update(arg)
aux_params.update(aux)
return (arg_params, aux_params)
|
python
|
def get_params(self):
"""Gets current parameters.
Returns
-------
(arg_params, aux_params)
A pair of dictionaries each mapping parameter names to NDArray values. This
is a merged dictionary of all the parameters in the modules.
"""
assert self.binded and self.params_initialized
arg_params = dict()
aux_params = dict()
for module in self._modules:
arg, aux = module.get_params()
arg_params.update(arg)
aux_params.update(aux)
return (arg_params, aux_params)
|
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".",
"update",
"(",
"aux",
")",
"return",
"(",
"arg_params",
",",
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")"
] |
Gets current parameters.
Returns
-------
(arg_params, aux_params)
A pair of dictionaries each mapping parameter names to NDArray values. This
is a merged dictionary of all the parameters in the modules.
|
[
"Gets",
"current",
"parameters",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/sequential_module.py#L153-L172
|
train
|
Gets the current parameters.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(11026 - 10915) + '\x31' + chr(0b110000) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101 + 0o55) + chr(0b110011) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x34', 63753 - 63745), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(7284 - 7173) + chr(0b101000 + 0o13) + '\x32' + chr(0b10010 + 0o41), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(229 - 181), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\062' + chr(51) + chr(49), 0b1000), ehT0Px3KOsy9(chr(2253 - 2205) + '\x6f' + '\061' + '\065' + chr(1193 - 1142), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + '\x35' + chr(0b10 + 0o65), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101011 + 0o4) + chr(0b101101 + 0o7) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(52) + '\065', 0b1000), ehT0Px3KOsy9(chr(1562 - 1514) + '\157' + chr(0b110001) + chr(49) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + '\061' + '\x30' + chr(2793 - 2740), 28468 - 28460), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\061' + chr(1231 - 1178), 906 - 898), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\064' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(50) + '\x33', 31955 - 31947), ehT0Px3KOsy9('\x30' + chr(0b1001 + 0o146) + '\x33' + chr(51) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + '\x33' + '\x31' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101100 + 0o3) + chr(1715 - 1666) + chr(0b110101) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + '\x32' + chr(0b110010) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1660 - 1549) + chr(1814 - 1759) + chr(48), 17528 - 17520), ehT0Px3KOsy9(chr(1401 - 1353) + chr(111) + chr(0b110110), 51772 - 51764), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\063' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + chr(0b110110) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(50) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b100011 + 0o23) + chr(0b10 + 0o56), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(0b10010 + 0o41) + chr(327 - 273) + chr(65 - 15), ord("\x08")), ehT0Px3KOsy9(chr(2146 - 2098) + chr(0b111000 + 0o67) + chr(0b110010) + chr(1899 - 1849) + chr(0b110111), 38633 - 38625), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1001 + 0o146) + chr(0b11000 + 0o32) + chr(50) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(6987 - 6876) + chr(502 - 453) + chr(1432 - 1382), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1775 - 1664) + chr(0b11 + 0o57) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(53) + '\x37', 8), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + chr(0b10010 + 0o37) + chr(0b110110) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + '\x33' + chr(0b110101) + chr(0b11111 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1691 - 1580) + chr(0b110001) + '\x32' + '\063', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110111) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(2830 - 2719) + chr(0b110001) + chr(2745 - 2691) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10746 - 10635) + '\062' + chr(0b110000), 8), ehT0Px3KOsy9(chr(1873 - 1825) + chr(0b1101111) + chr(0b110010) + chr(0b110101) + chr(1269 - 1219), 6496 - 6488), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b110101) + chr(0b11101 + 0o31), 27341 - 27333), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\x32', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + chr(53) + chr(1978 - 1930), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'l'), '\x64' + chr(0b1011100 + 0o11) + chr(0b1100011) + chr(0b1000000 + 0o57) + '\144' + '\145')(chr(0b1101000 + 0o15) + chr(0b11001 + 0o133) + chr(0b101001 + 0o75) + chr(0b101101) + chr(842 - 786)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def k2sGft1Djlhj(oVre8I6UXc3b):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'4\xc8G\xa2\\\xef^lm\xd4\x185'), chr(0b101000 + 0o74) + '\145' + '\143' + chr(5763 - 5652) + chr(0b1100100) + '\x65')(chr(0b1110101) + '\x74' + '\x66' + chr(45) + chr(1553 - 1497))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xa5n\xa9`\xc8#j\x14\xaa5('), '\x64' + chr(0b1100101) + '\143' + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + '\164' + chr(0b101 + 0o141) + '\x2d' + chr(0b111000)))
GroVdzCONmWS = wLqBDw8l0eIm()
p9GVyAqRTTRh = wLqBDw8l0eIm()
for RqocVGOryNPv in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d\xf0{\xb7e\xf5\x0e\\'), chr(0b1100100) + chr(0b1011010 + 0o13) + chr(3400 - 3301) + chr(0b1101111) + '\x64' + '\x65')(chr(117) + chr(0b1010011 + 0o41) + '\x66' + '\055' + chr(2798 - 2742))):
(LTE9MPUbqSos, bwxMVhRdvLNk) = RqocVGOryNPv.get_params()
xafqLlk3kkUe(GroVdzCONmWS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\xe9U\x96y\xd7!AY\xd1*u'), chr(3377 - 3277) + chr(101) + chr(0b0 + 0o143) + chr(111) + chr(100) + chr(0b1100101))(chr(0b1100101 + 0o20) + chr(116) + '\x66' + chr(0b101101) + '\x38'))(LTE9MPUbqSos)
xafqLlk3kkUe(p9GVyAqRTTRh, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\xe9U\x96y\xd7!AY\xd1*u'), chr(0b1010100 + 0o20) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\164' + '\x66' + chr(45) + '\070'))(bwxMVhRdvLNk)
return (GroVdzCONmWS, p9GVyAqRTTRh)
|
apache/incubator-mxnet
|
python/mxnet/module/sequential_module.py
|
SequentialModule.init_params
|
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None,
allow_missing=False, force_init=False, allow_extra=False):
"""Initializes parameters.
Parameters
----------
initializer : Initializer
arg_params : dict
Default ``None``. Existing parameters. This has higher priority
than `initializer`.
aux_params : dict
Default ``None``. Existing auxiliary states. This has higher priority
than `initializer`.
allow_missing : bool
Allow missing values in `arg_params` and `aux_params` (if not ``None``).
In this case, missing values will be filled with `initializer`.
force_init : bool
Default ``False``.
allow_extra : boolean, optional
Whether allow extra parameters that are not needed by symbol.
If this is True, no error will be thrown when arg_params or aux_params
contain extra parameters that is not needed by the executor.
"""
if self.params_initialized and not force_init:
return
assert self.binded, 'call bind before initializing the parameters'
for module in self._modules:
module.init_params(initializer=initializer, arg_params=arg_params,
aux_params=aux_params, allow_missing=allow_missing,
force_init=force_init, allow_extra=allow_extra)
# make sure we do not have duplicated parameter names
def _check_name(known_names, new_names, modules, i):
"""Internal function to help checking duplicated names."""
for name in new_names:
assert not name in known_names, "Duplicated parameter names: " + \
('name "%s" in layer %d (%s) is already ' % (name, i, type(modules[i]))) + \
('used in layer %d (%s).' % (known_names[name],
type(modules[known_names[name]])))
known_names[name] = i
arg_names = dict()
aux_names = dict()
for i_layer, module in enumerate(self._modules):
arg_params, aux_params = module.get_params()
_check_name(arg_names, arg_params.keys(), self._modules, i_layer)
_check_name(aux_names, aux_params.keys(), self._modules, i_layer)
self.params_initialized = True
|
python
|
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None,
allow_missing=False, force_init=False, allow_extra=False):
"""Initializes parameters.
Parameters
----------
initializer : Initializer
arg_params : dict
Default ``None``. Existing parameters. This has higher priority
than `initializer`.
aux_params : dict
Default ``None``. Existing auxiliary states. This has higher priority
than `initializer`.
allow_missing : bool
Allow missing values in `arg_params` and `aux_params` (if not ``None``).
In this case, missing values will be filled with `initializer`.
force_init : bool
Default ``False``.
allow_extra : boolean, optional
Whether allow extra parameters that are not needed by symbol.
If this is True, no error will be thrown when arg_params or aux_params
contain extra parameters that is not needed by the executor.
"""
if self.params_initialized and not force_init:
return
assert self.binded, 'call bind before initializing the parameters'
for module in self._modules:
module.init_params(initializer=initializer, arg_params=arg_params,
aux_params=aux_params, allow_missing=allow_missing,
force_init=force_init, allow_extra=allow_extra)
# make sure we do not have duplicated parameter names
def _check_name(known_names, new_names, modules, i):
"""Internal function to help checking duplicated names."""
for name in new_names:
assert not name in known_names, "Duplicated parameter names: " + \
('name "%s" in layer %d (%s) is already ' % (name, i, type(modules[i]))) + \
('used in layer %d (%s).' % (known_names[name],
type(modules[known_names[name]])))
known_names[name] = i
arg_names = dict()
aux_names = dict()
for i_layer, module in enumerate(self._modules):
arg_params, aux_params = module.get_params()
_check_name(arg_names, arg_params.keys(), self._modules, i_layer)
_check_name(aux_names, aux_params.keys(), self._modules, i_layer)
self.params_initialized = True
|
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] |
Initializes parameters.
Parameters
----------
initializer : Initializer
arg_params : dict
Default ``None``. Existing parameters. This has higher priority
than `initializer`.
aux_params : dict
Default ``None``. Existing auxiliary states. This has higher priority
than `initializer`.
allow_missing : bool
Allow missing values in `arg_params` and `aux_params` (if not ``None``).
In this case, missing values will be filled with `initializer`.
force_init : bool
Default ``False``.
allow_extra : boolean, optional
Whether allow extra parameters that are not needed by symbol.
If this is True, no error will be thrown when arg_params or aux_params
contain extra parameters that is not needed by the executor.
|
[
"Initializes",
"parameters",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/sequential_module.py#L174-L223
|
train
|
Initializes the parameters of the modules and their auxiliary states.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(740 - 692) + chr(2321 - 2210) + chr(0b110010) + '\060' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(420 - 369) + chr(1876 - 1824) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(50) + '\067' + chr(0b11001 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + chr(0b110111) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(9642 - 9531) + chr(0b1101 + 0o45) + '\x31' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + '\061' + chr(0b110001) + chr(1832 - 1783), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b101 + 0o53) + chr(0b101 + 0o62), 41141 - 41133), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(1341 - 1286) + chr(0b11000 + 0o34), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + '\x33' + chr(0b11100 + 0o33) + chr(0b11 + 0o57), 0o10), ehT0Px3KOsy9(chr(923 - 875) + chr(111) + chr(0b110011) + '\060' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x34' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(49) + chr(0b110010), 61876 - 61868), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(52), 18239 - 18231), ehT0Px3KOsy9(chr(1875 - 1827) + '\157' + chr(0b110010 + 0o1) + '\x34' + chr(48), 0o10), ehT0Px3KOsy9(chr(1854 - 1806) + '\157' + chr(0b110110) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(7258 - 7147) + chr(2359 - 2309) + chr(55) + chr(0b110001), 16339 - 16331), ehT0Px3KOsy9('\x30' + chr(11335 - 11224) + chr(0b110001) + '\061' + chr(0b110100), 814 - 806), ehT0Px3KOsy9(chr(0b110000) + chr(10648 - 10537) + '\062' + chr(2515 - 2463) + chr(0b10111 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(480 - 429) + '\065' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100001 + 0o20) + '\065' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110111), 15720 - 15712), ehT0Px3KOsy9('\x30' + chr(2185 - 2074) + '\061' + chr(0b110011) + chr(0b110000 + 0o4), 0b1000), ehT0Px3KOsy9(chr(2229 - 2181) + chr(1110 - 999) + '\067' + chr(941 - 891), 8), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + chr(293 - 244) + '\x36' + chr(0b101001 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(2210 - 2162) + chr(0b1101111) + '\062' + chr(0b110001) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1875 - 1827) + '\x6f' + chr(51) + chr(2457 - 2404) + chr(49), 61527 - 61519), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b10011 + 0o43) + '\x33', 49737 - 49729), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(0b110001) + chr(0b110001) + '\x30', 32855 - 32847), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1632 - 1581) + chr(862 - 809) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(3076 - 2965) + chr(0b110010) + chr(51) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(1233 - 1122) + chr(145 - 94) + chr(0b100011 + 0o17), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(12233 - 12122) + chr(0b110001 + 0o1) + '\x36' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b11011 + 0o124) + chr(49) + '\x36' + '\x32', 6634 - 6626), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(50) + chr(523 - 475), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(0b110010) + chr(0b110010) + '\x32', 54000 - 53992), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(0b110010) + chr(0b1111 + 0o46) + chr(516 - 467), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(54) + chr(2566 - 2511), 64601 - 64593), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(657 - 603) + '\x37', 8), ehT0Px3KOsy9('\x30' + chr(4898 - 4787) + chr(1427 - 1377) + chr(2356 - 2307) + chr(0b110110), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(1261 - 1208) + chr(0b10011 + 0o35), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xab'), chr(7230 - 7130) + chr(101) + chr(0b1100011) + chr(9547 - 9436) + chr(8592 - 8492) + chr(0b10110 + 0o117))(chr(5807 - 5690) + chr(116) + chr(2340 - 2238) + '\055' + chr(823 - 767)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def oZNFuAsgrYEN(oVre8I6UXc3b, kwfuYzkY5C57=IZ_mZejMUBkq(0.01), GroVdzCONmWS=None, p9GVyAqRTTRh=None, EvAy_xX2if1F=ehT0Px3KOsy9('\x30' + chr(5465 - 5354) + chr(0b110000), 42063 - 42055), WLhLFaYh5g6M=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(48), 8), bUoGDo0a4vdc=ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110000), 8)):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xdd\xc5@\xfb\x18\x8f\xf9&\xb5\xb9O'), chr(8130 - 8030) + '\145' + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b1100101 + 0o0))(chr(5415 - 5298) + '\x74' + chr(1131 - 1029) + '\055' + chr(2836 - 2780))) and (not WLhLFaYh5g6M):
return
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xb0\xecK\xc7?\xf2\xff_\xcb\x94R'), chr(0b101101 + 0o67) + chr(101) + chr(8599 - 8500) + '\x6f' + '\x64' + chr(101))(chr(117) + chr(0b1110100) + '\146' + chr(94 - 49) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x84\xd3V\xab+\xae\xd2v\xda\xa1G\xecs\x92T\x99%\xcf\x85\x1b~=V\x1e\xf3\x80\x9d/\xc9\xeer\xd5R\xe0\xf3\xdb\xd6\xda\xeb\xf1\x80\xcdI'), '\x64' + chr(101) + chr(0b1011011 + 0o10) + chr(3533 - 3422) + '\x64' + '\x65')(chr(897 - 780) + '\x74' + '\146' + '\x2d' + chr(0b101110 + 0o12))
for RqocVGOryNPv in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\x88\xd0^\xfe%\xa2\xcf'), chr(0b10011 + 0o121) + chr(101) + chr(99) + '\x6f' + chr(8448 - 8348) + '\145')('\x75' + chr(0b1110100) + '\x66' + '\055' + chr(0b111000))):
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\x8b\xd6N\xd49\xa6\xces\x97\xb0'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1011101 + 0o7) + chr(0b1010101 + 0o20))('\x75' + chr(0b1010000 + 0o44) + chr(2883 - 2781) + chr(0b101101) + '\070'))(initializer=kwfuYzkY5C57, arg_params=GroVdzCONmWS, aux_params=p9GVyAqRTTRh, allow_missing=EvAy_xX2if1F, force_init=WLhLFaYh5g6M, allow_extra=bUoGDo0a4vdc)
def YWdQkkmq_3QH(Hr4PA_VWY4_H, FGVzyYjZRbTN, Dm5UcjkJnFvy, WVxHKyX45z_L):
for AIvJRzLdDfgF in FGVzyYjZRbTN:
assert AIvJRzLdDfgF not in Hr4PA_VWY4_H, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x90\xcfV\xe2*\xa6\xc8w\x9e\xe3R\xebn\x81\\\xdc8\xc4\x9eOy=W\x12\xfa\xd3\xd3'), '\x64' + chr(0b111101 + 0o50) + '\143' + '\157' + chr(0b1100100) + chr(1466 - 1365))(chr(10519 - 10402) + chr(0b1110100) + chr(102) + '\x2d' + '\x38') + xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb\x84\xd2_\xabk\xe2\xcf0\xda\xaaL\xaap\x81H\xdc>\x81\xc9\x0b7t\x1f\x04\xa0\xc9\x9a;\xc9\xfbv\xc2\x17\xf1\xf6\xd0\x97'), chr(0b1000010 + 0o42) + chr(101) + chr(99) + chr(10468 - 10357) + chr(3396 - 3296) + chr(101))('\165' + chr(116) + '\146' + chr(0b100001 + 0o14) + '\070') % (AIvJRzLdDfgF, WVxHKyX45z_L, wmQmyeWBmUpv(Dm5UcjkJnFvy[WVxHKyX45z_L])) + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\x96\xda^\xab \xa9\x9c~\x9b\xbaG\xf8<\xc5U\x99d\x84\x9fF9'), chr(0b1100100) + '\145' + '\x63' + '\157' + '\144' + chr(0b1100101))(chr(0b1110101 + 0o0) + '\164' + chr(0b1000 + 0o136) + '\055' + chr(0b111000)) % (Hr4PA_VWY4_H[AIvJRzLdDfgF], wmQmyeWBmUpv(Dm5UcjkJnFvy[Hr4PA_VWY4_H[AIvJRzLdDfgF]]))
Hr4PA_VWY4_H[AIvJRzLdDfgF] = WVxHKyX45z_L
YjuRZH4bY1wk = wLqBDw8l0eIm()
kNWn4vwNYXUk = wLqBDw8l0eIm()
for (JLH09vE5lFSk, RqocVGOryNPv) in YlkZvXL8qwsX(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\x88\xd0^\xfe%\xa2\xcf'), chr(1207 - 1107) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + chr(0b101110 + 0o67))(chr(117) + chr(0b1110100) + chr(0b111 + 0o137) + chr(45) + '\070'))):
(GroVdzCONmWS, p9GVyAqRTTRh) = RqocVGOryNPv.get_params()
YWdQkkmq_3QH(YjuRZH4bY1wk, xafqLlk3kkUe(GroVdzCONmWS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x80\xc6I'), chr(100) + chr(0b1000110 + 0o37) + '\143' + '\x6f' + '\144' + chr(101))('\165' + '\x74' + chr(3907 - 3805) + chr(1433 - 1388) + chr(1322 - 1266)))(), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\x88\xd0^\xfe%\xa2\xcf'), chr(0b1000100 + 0o40) + chr(101) + '\143' + chr(0b1101011 + 0o4) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b110000 + 0o66) + chr(45) + chr(2965 - 2909))), JLH09vE5lFSk)
YWdQkkmq_3QH(kNWn4vwNYXUk, xafqLlk3kkUe(p9GVyAqRTTRh, xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x80\xc6I'), chr(8235 - 8135) + '\x65' + '\143' + chr(0b1101111) + chr(2671 - 2571) + chr(4695 - 4594))(chr(874 - 757) + chr(5648 - 5532) + chr(7403 - 7301) + chr(0b100000 + 0o15) + chr(0b1101 + 0o53)))(), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\x88\xd0^\xfe%\xa2\xcf'), '\x64' + chr(101) + '\x63' + '\157' + chr(0b110000 + 0o64) + chr(0b10111 + 0o116))('\x75' + '\164' + '\146' + '\055' + '\x38')), JLH09vE5lFSk)
oVre8I6UXc3b.L8zzpQHE4Ozm = ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061', 0o10)
|
apache/incubator-mxnet
|
python/mxnet/module/sequential_module.py
|
SequentialModule.bind
|
def bind(self, data_shapes, label_shapes=None, for_training=True,
inputs_need_grad=False, force_rebind=False, shared_module=None,
grad_req='write'):
"""Binds the symbols to construct executors. This is necessary before one
can perform computation with the module.
Parameters
----------
data_shapes : list of (str, tuple)
Typically is `data_iter.provide_data`.
label_shapes : list of (str, tuple)
Typically is `data_iter.provide_label`.
for_training : bool
Default is ``True``. Whether the executors should be bind for training.
inputs_need_grad : bool
Default is ``False``. Whether the gradients to the input data need to be computed.
Typically this is not needed. But this might be needed when implementing composition
of modules.
force_rebind : bool
Default is ``False``. This function does nothing if the executors are already
bound. But with this ``True``, the executors will be forced to rebind.
shared_module : Module
Default is ``None``. Currently shared module is not supported for `SequentialModule`.
grad_req : str, list of str, dict of str to str
Requirement for gradient accumulation. Can be 'write', 'add', or 'null'
(default to 'write').
Can be specified globally (str) or for each argument (list, dict).
"""
if self.binded and not force_rebind:
self.logger.warning('Already bound, ignoring bind()')
return
if inputs_need_grad:
assert for_training is True
assert shared_module is None, 'Shared module is not supported'
assert len(self._modules) > 0, 'Attempting to bind an empty SequentialModule'
self.binded = True
# the same label shapes are used for all chained modules
self._label_shapes = label_shapes
my_data_shapes = data_shapes
anybody_ever_needs_label = False
for i_layer, module in enumerate(self._modules):
meta = self._metas[i_layer]
if SequentialModule.META_TAKE_LABELS in meta and \
meta[SequentialModule.META_TAKE_LABELS]:
my_label_shapes = label_shapes
anybody_ever_needs_label = True
else:
my_label_shapes = None
my_inputs_need_grad = bool(inputs_need_grad or
(for_training and i_layer > 0))
if meta.get(SequentialModule.META_AUTO_WIRING, False):
data_names = module.data_names
assert len(data_names) == len(my_data_shapes)
my_data_shapes = [(new_name, shape) for (new_name, (_, shape))
in zip(data_names, my_data_shapes)]
module.bind(data_shapes=my_data_shapes, label_shapes=my_label_shapes,
for_training=for_training, inputs_need_grad=my_inputs_need_grad,
force_rebind=force_rebind, shared_module=None, grad_req=grad_req)
# the output of the previous module is the data of the next module
my_data_shapes = module.output_shapes
if not anybody_ever_needs_label:
# then I do not need label either
self._label_shapes = None
|
python
|
def bind(self, data_shapes, label_shapes=None, for_training=True,
inputs_need_grad=False, force_rebind=False, shared_module=None,
grad_req='write'):
"""Binds the symbols to construct executors. This is necessary before one
can perform computation with the module.
Parameters
----------
data_shapes : list of (str, tuple)
Typically is `data_iter.provide_data`.
label_shapes : list of (str, tuple)
Typically is `data_iter.provide_label`.
for_training : bool
Default is ``True``. Whether the executors should be bind for training.
inputs_need_grad : bool
Default is ``False``. Whether the gradients to the input data need to be computed.
Typically this is not needed. But this might be needed when implementing composition
of modules.
force_rebind : bool
Default is ``False``. This function does nothing if the executors are already
bound. But with this ``True``, the executors will be forced to rebind.
shared_module : Module
Default is ``None``. Currently shared module is not supported for `SequentialModule`.
grad_req : str, list of str, dict of str to str
Requirement for gradient accumulation. Can be 'write', 'add', or 'null'
(default to 'write').
Can be specified globally (str) or for each argument (list, dict).
"""
if self.binded and not force_rebind:
self.logger.warning('Already bound, ignoring bind()')
return
if inputs_need_grad:
assert for_training is True
assert shared_module is None, 'Shared module is not supported'
assert len(self._modules) > 0, 'Attempting to bind an empty SequentialModule'
self.binded = True
# the same label shapes are used for all chained modules
self._label_shapes = label_shapes
my_data_shapes = data_shapes
anybody_ever_needs_label = False
for i_layer, module in enumerate(self._modules):
meta = self._metas[i_layer]
if SequentialModule.META_TAKE_LABELS in meta and \
meta[SequentialModule.META_TAKE_LABELS]:
my_label_shapes = label_shapes
anybody_ever_needs_label = True
else:
my_label_shapes = None
my_inputs_need_grad = bool(inputs_need_grad or
(for_training and i_layer > 0))
if meta.get(SequentialModule.META_AUTO_WIRING, False):
data_names = module.data_names
assert len(data_names) == len(my_data_shapes)
my_data_shapes = [(new_name, shape) for (new_name, (_, shape))
in zip(data_names, my_data_shapes)]
module.bind(data_shapes=my_data_shapes, label_shapes=my_label_shapes,
for_training=for_training, inputs_need_grad=my_inputs_need_grad,
force_rebind=force_rebind, shared_module=None, grad_req=grad_req)
# the output of the previous module is the data of the next module
my_data_shapes = module.output_shapes
if not anybody_ever_needs_label:
# then I do not need label either
self._label_shapes = None
|
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Binds the symbols to construct executors. This is necessary before one
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Parameters
----------
data_shapes : list of (str, tuple)
Typically is `data_iter.provide_data`.
label_shapes : list of (str, tuple)
Typically is `data_iter.provide_label`.
for_training : bool
Default is ``True``. Whether the executors should be bind for training.
inputs_need_grad : bool
Default is ``False``. Whether the gradients to the input data need to be computed.
Typically this is not needed. But this might be needed when implementing composition
of modules.
force_rebind : bool
Default is ``False``. This function does nothing if the executors are already
bound. But with this ``True``, the executors will be forced to rebind.
shared_module : Module
Default is ``None``. Currently shared module is not supported for `SequentialModule`.
grad_req : str, list of str, dict of str to str
Requirement for gradient accumulation. Can be 'write', 'add', or 'null'
(default to 'write').
Can be specified globally (str) or for each argument (list, dict).
|
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] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/sequential_module.py#L225-L296
|
train
|
Binds the executors to construct executors.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(11469 - 11358) + '\062' + chr(2545 - 2493) + chr(0b11111 + 0o30), 33852 - 33844), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11100 + 0o27) + '\x36' + '\066', 9811 - 9803), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\x31' + chr(0b101 + 0o56), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(49) + chr(0b100 + 0o63), ord("\x08")), ehT0Px3KOsy9(chr(305 - 257) + chr(111) + chr(0b110001) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + '\062' + chr(0b110000) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101111 + 0o3) + chr(53) + '\063', 0b1000), ehT0Px3KOsy9(chr(1893 - 1845) + '\157' + chr(0b1 + 0o60) + '\060' + '\060', 0o10), ehT0Px3KOsy9(chr(123 - 75) + chr(0b1 + 0o156) + chr(2366 - 2317) + chr(55), 1871 - 1863), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110110 + 0o0) + '\x37', 44360 - 44352), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + '\x33' + '\x37' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\x32' + chr(2557 - 2504) + chr(0b11011 + 0o33), 65134 - 65126), ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + '\063' + chr(49), 61284 - 61276), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(406 - 353) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1369 - 1320) + chr(1466 - 1415) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(52) + chr(0b101001 + 0o14), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(1477 - 1427) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\x31' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(945 - 895) + chr(0b110100) + '\x35', 49774 - 49766), ehT0Px3KOsy9(chr(2202 - 2154) + chr(0b1101111) + '\063' + '\x30' + chr(314 - 265), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b11111 + 0o26) + chr(1572 - 1520), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1047 - 996) + '\x32' + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1472 - 1423) + chr(0b101101 + 0o11) + chr(545 - 493), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(1591 - 1542) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(7253 - 7142) + chr(522 - 471) + chr(370 - 315) + chr(0b1111 + 0o41), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b0 + 0o67) + chr(51), 0b1000), ehT0Px3KOsy9(chr(1666 - 1618) + chr(0b11000 + 0o127) + chr(417 - 364) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(54) + chr(0b110110), 28781 - 28773), ehT0Px3KOsy9('\060' + '\x6f' + chr(87 - 36) + chr(803 - 749), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110111) + chr(0b101011 + 0o11), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2461 - 2411) + '\x37' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4567 - 4456) + chr(2416 - 2365) + chr(51) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(635 - 587) + '\x6f' + chr(55) + chr(0b110100), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110000 + 0o3) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1952 - 1902) + '\x35' + '\x30', 39621 - 39613), ehT0Px3KOsy9('\060' + chr(0b100001 + 0o116) + chr(0b110100) + chr(1253 - 1203), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1164 - 1115) + chr(0b1 + 0o65) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(4065 - 3954) + chr(537 - 485) + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + chr(0b10100 + 0o133) + chr(0b11110 + 0o24) + chr(0b110110) + chr(1375 - 1325), 33095 - 33087)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(0b110101) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x89'), chr(100) + '\145' + '\x63' + chr(0b1101111) + chr(0b1000110 + 0o36) + chr(0b10010 + 0o123))('\165' + chr(0b1110100) + chr(102) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RxybUDNegxKp(oVre8I6UXc3b, YtBSCi2IqLNC, I20ITSLWMkxm=None, niBS8zuJW5W8=ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31', 0o10), rZk4UVSUfv_X=ehT0Px3KOsy9(chr(48) + '\157' + '\060', 0b1000), jvgJ056jq9JK=ehT0Px3KOsy9(chr(1544 - 1496) + '\157' + chr(389 - 341), 8), BWJ3OwfvHl8n=None, aPO3geeCGwU6=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\x84\xa2\xbbm'), '\144' + chr(0b1000111 + 0o36) + chr(7716 - 7617) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(4893 - 4776) + chr(0b100011 + 0o121) + '\x66' + '\x2d' + '\x38')):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\xa3\x98\xbeD\xf5\x9e\x03B\x86\xae\xde'), '\x64' + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1100100) + '\145')('\x75' + '\x74' + chr(2183 - 2081) + chr(0b1110 + 0o37) + '\070')) and (not jvgJ056jq9JK):
xafqLlk3kkUe(oVre8I6UXc3b.logger, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\x97\xb9\xa1a\xed\xcc'), chr(0b1000010 + 0o42) + chr(10044 - 9943) + chr(4948 - 4849) + chr(10233 - 10122) + chr(0b11 + 0o141) + chr(101))(chr(0b1110101) + chr(0b1000 + 0o154) + chr(4891 - 4789) + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x9a\xb9\xaai\xe7\xd2`m\xd8\x8c\xc0}4\x0e7\x82\xbb!\xd7\xa8\x02\xb7T\xae\x91\xd5N\x1e7'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(11197 - 11086) + chr(100) + chr(0b11111 + 0o106))(chr(117) + chr(12652 - 12536) + chr(0b1000000 + 0o46) + '\055' + chr(0b11110 + 0o32)))
return
if rZk4UVSUfv_X:
assert niBS8zuJW5W8 is ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061', 8)
assert BWJ3OwfvHl8n is None, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x9e\xaa\xbdm\xe7\x8b-`\xd3\x8c\xc2|8G-\xc5\xbb!\xd1\xe1\x1f\xa5\x04\xbc\x97\xc9^Sz'), '\x64' + '\x65' + '\143' + chr(7590 - 7479) + chr(3102 - 3002) + '\145')(chr(0b1011010 + 0o33) + '\164' + chr(0b1100110) + '\055' + chr(0b111000))
assert c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x9b\xa4\xab}\xef\xce3'), chr(0b1100100) + chr(6185 - 6084) + '\143' + chr(0b1101101 + 0o2) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(116) + '\146' + '\x2d' + chr(56)))) > ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x82\xbf\xaae\xf3\xdf)a\xd0\xd9\xdav8L7\x8b\xb1n\xc4\xafL\xb5\x19\xbc\x8c\xc2\ne{M\xcb\xb9R\xee\xc1C\x19o\xdd\xc3\x83\xa7\xaa'), '\144' + chr(101) + '\143' + chr(0b111001 + 0o66) + '\x64' + chr(0b111100 + 0o51))(chr(0b1001100 + 0o51) + chr(0b111111 + 0o65) + chr(0b1100110) + chr(0b101101) + '\070')
oVre8I6UXc3b.vUSqLv5CM1Wp = ehT0Px3KOsy9(chr(48) + chr(11118 - 11007) + '\x31', 8)
oVre8I6UXc3b.aeRwQBDErTCO = I20ITSLWMkxm
fQtNNhawyD7Z = YtBSCi2IqLNC
rCAEkQfRRMoF = ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110000), 8)
for (JLH09vE5lFSk, RqocVGOryNPv) in YlkZvXL8qwsX(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x9b\xa4\xab}\xef\xce3'), chr(100) + chr(101) + chr(5610 - 5511) + '\157' + chr(0b1100100) + '\x65')('\165' + chr(0b1110100) + chr(8836 - 8734) + '\x2d' + chr(889 - 833)))):
Ddxy_ihdYXS3 = oVre8I6UXc3b._metas[JLH09vE5lFSk]
if xafqLlk3kkUe(Wt_JcpRcrH5d, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xb3\x9f\x8eW\xd7\xea\x0bJ\xe8\xb5\xef[]b\r'), '\144' + chr(0b1100101) + '\x63' + '\157' + '\x64' + '\x65')('\165' + '\x74' + '\x66' + chr(0b101101) + chr(1861 - 1805))) in Ddxy_ihdYXS3 and Ddxy_ihdYXS3[xafqLlk3kkUe(Wt_JcpRcrH5d, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xb3\x9f\x8eW\xd7\xea\x0bJ\xe8\xb5\xef[]b\r'), '\144' + '\x65' + chr(7022 - 6923) + '\x6f' + chr(9028 - 8928) + chr(0b1001001 + 0o34))(chr(0b1001101 + 0o50) + chr(7441 - 7325) + chr(102) + '\055' + '\070'))]:
AbcN9ec15Fe1 = I20ITSLWMkxm
rCAEkQfRRMoF = ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1010010 + 0o35) + '\061', 8)
else:
AbcN9ec15Fe1 = None
tUvT72ynzGdV = WbBjf8Y7v9VN(rZk4UVSUfv_X or (niBS8zuJW5W8 and JLH09vE5lFSk > ehT0Px3KOsy9(chr(404 - 356) + chr(0b1101111) + chr(0b110000), 8)))
if xafqLlk3kkUe(Ddxy_ihdYXS3, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\x93\xbf'), chr(0b1100100) + chr(5796 - 5695) + chr(0b1011101 + 0o6) + '\x6f' + '\144' + '\x65')(chr(117) + '\x74' + '\146' + chr(45) + chr(0b100 + 0o64)))(xafqLlk3kkUe(Wt_JcpRcrH5d, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xb3\x9f\x8eW\xc2\xfe\x14@\xe8\xae\xe7KQ`\x19'), chr(1356 - 1256) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1100100) + '\145')('\x75' + chr(0b1110100) + chr(0b1000010 + 0o44) + chr(535 - 490) + chr(2031 - 1975))), ehT0Px3KOsy9('\060' + chr(5152 - 5041) + chr(0b101 + 0o53), 8)):
qBtzKag1J9_6 = RqocVGOryNPv.data_names
assert c2A0yzQpDQB3(qBtzKag1J9_6) == c2A0yzQpDQB3(fQtNNhawyD7Z)
fQtNNhawyD7Z = [(YcouzI09aKpc, nauYfLglTpcb) for (YcouzI09aKpc, (VNGQdHSFPrso, nauYfLglTpcb)) in pZ0NK2y6HRbn(qBtzKag1J9_6, fQtNNhawyD7Z)]
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\x9f\xa5\xab'), chr(0b1001110 + 0o26) + chr(0b1100101) + '\x63' + chr(6773 - 6662) + chr(100) + chr(101))(chr(2852 - 2735) + chr(7840 - 7724) + '\146' + chr(1499 - 1454) + chr(0b111 + 0o61)))(data_shapes=fQtNNhawyD7Z, label_shapes=AbcN9ec15Fe1, for_training=niBS8zuJW5W8, inputs_need_grad=tUvT72ynzGdV, force_rebind=jvgJ056jq9JK, shared_module=None, grad_req=aPO3geeCGwU6)
fQtNNhawyD7Z = RqocVGOryNPv.output_shapes
if not rCAEkQfRRMoF:
oVre8I6UXc3b.aeRwQBDErTCO = None
|
apache/incubator-mxnet
|
python/mxnet/module/sequential_module.py
|
SequentialModule.init_optimizer
|
def init_optimizer(self, kvstore='local', optimizer='sgd',
optimizer_params=(('learning_rate', 0.01),),
force_init=False):
"""Installs and initializes optimizers.
Parameters
----------
kvstore : str or KVStore
Default `'local'`.
optimizer : str or Optimizer
Default `'sgd'`
optimizer_params : dict
Default ``(('learning_rate', 0.01),)``. The default value is not a dictionary,
just to avoid pylint warning of dangerous default values.
force_init : bool
Default ``False``, indicating whether we should force re-initializing the
optimizer in the case an optimizer is already installed.
"""
assert self.binded and self.params_initialized
if self.optimizer_initialized and not force_init:
self.logger.warning('optimizer already initialized, ignoring.')
return
for module in self._modules:
module.init_optimizer(kvstore=kvstore, optimizer=optimizer,
optimizer_params=optimizer_params, force_init=force_init)
self.optimizer_initialized = True
|
python
|
def init_optimizer(self, kvstore='local', optimizer='sgd',
optimizer_params=(('learning_rate', 0.01),),
force_init=False):
"""Installs and initializes optimizers.
Parameters
----------
kvstore : str or KVStore
Default `'local'`.
optimizer : str or Optimizer
Default `'sgd'`
optimizer_params : dict
Default ``(('learning_rate', 0.01),)``. The default value is not a dictionary,
just to avoid pylint warning of dangerous default values.
force_init : bool
Default ``False``, indicating whether we should force re-initializing the
optimizer in the case an optimizer is already installed.
"""
assert self.binded and self.params_initialized
if self.optimizer_initialized and not force_init:
self.logger.warning('optimizer already initialized, ignoring.')
return
for module in self._modules:
module.init_optimizer(kvstore=kvstore, optimizer=optimizer,
optimizer_params=optimizer_params, force_init=force_init)
self.optimizer_initialized = True
|
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",",
"optimizer",
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"'sgd'",
",",
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"(",
"'learning_rate'",
",",
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"(",
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")",
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] |
Installs and initializes optimizers.
Parameters
----------
kvstore : str or KVStore
Default `'local'`.
optimizer : str or Optimizer
Default `'sgd'`
optimizer_params : dict
Default ``(('learning_rate', 0.01),)``. The default value is not a dictionary,
just to avoid pylint warning of dangerous default values.
force_init : bool
Default ``False``, indicating whether we should force re-initializing the
optimizer in the case an optimizer is already installed.
|
[
"Installs",
"and",
"initializes",
"optimizers",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/sequential_module.py#L298-L325
|
train
|
Installs and initializes optimizers.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1011011 + 0o24) + chr(0b110011) + '\066' + chr(898 - 849), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(51) + chr(2608 - 2554) + chr(55), 0o10), ehT0Px3KOsy9(chr(1065 - 1017) + chr(0b1101111) + '\062' + chr(0b110001) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(2652 - 2541) + chr(2038 - 1987) + chr(0b110101) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(4658 - 4547) + chr(279 - 229) + chr(0b111 + 0o60) + chr(50), 60923 - 60915), ehT0Px3KOsy9(chr(1928 - 1880) + chr(111) + chr(2164 - 2113) + chr(0b110011) + chr(0b10100 + 0o34), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1523 - 1470) + chr(611 - 563), 16707 - 16699), ehT0Px3KOsy9(chr(0b110000) + chr(11379 - 11268) + chr(50) + chr(709 - 655) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(221 - 173) + '\157' + '\061' + chr(0b110000) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + chr(0b1101 + 0o46) + chr(49) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101111 + 0o2) + chr(53) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110100) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(439 - 386) + chr(0b101011 + 0o12), 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1100111 + 0o10) + chr(54) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(173 - 118) + chr(1501 - 1448), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\062' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11072 - 10961) + '\x34' + chr(48), 7309 - 7301), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110110) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101011 + 0o4) + chr(179 - 130) + '\063' + chr(0b100001 + 0o24), 0b1000), ehT0Px3KOsy9(chr(1024 - 976) + '\157' + chr(1206 - 1155) + chr(48) + chr(0b10010 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(496 - 448) + chr(111) + chr(49) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(2000 - 1952) + chr(111) + '\x31' + chr(2289 - 2241) + chr(0b101111 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + '\061' + chr(861 - 813) + chr(962 - 910), 8), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + '\x31' + '\x35' + '\x32', 7623 - 7615), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\x33' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\x30' + chr(0b10100 + 0o42), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(509 - 461) + chr(0b101001 + 0o14), 41444 - 41436), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(0b11100 + 0o31) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(9090 - 8979) + chr(0b110 + 0o55) + chr(2671 - 2618) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11059 - 10948) + chr(0b110011) + chr(49) + '\060', 60780 - 60772), ehT0Px3KOsy9(chr(211 - 163) + '\157' + '\066' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + '\061' + chr(0b110010) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b110110) + chr(0b110111), 64895 - 64887), ehT0Px3KOsy9(chr(267 - 219) + chr(111) + chr(48), 38339 - 38331), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001100 + 0o43) + chr(0b100110 + 0o15) + chr(460 - 410) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b11 + 0o60) + chr(0b110001) + chr(0b10000 + 0o43), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + '\x33' + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(12155 - 12044) + '\x32' + chr(0b100100 + 0o15) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + chr(0b10100 + 0o35) + '\066' + '\x35', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf'), '\144' + chr(101) + chr(0b1100011) + '\157' + chr(7633 - 7533) + chr(6098 - 5997))(chr(0b1010110 + 0o37) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NgIRBuRkFExj(oVre8I6UXc3b, Dlwsb3sX_cE9=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x98\xef\x8d\xd6'), '\144' + chr(101) + chr(7183 - 7084) + chr(6172 - 6061) + '\x64' + '\x65')('\x75' + '\x74' + chr(0b1100110) + chr(0b110 + 0o47) + '\070'), XdKNcYRObPK3=xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\x90\xe8'), '\144' + chr(6484 - 6383) + '\143' + '\157' + '\144' + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(2099 - 1997) + '\055' + chr(1977 - 1921)), Jc4PFUw40SRS=((xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x92\xed\x9e\xd4\xb1F\xd6\x1b\xbd\x0cV\x08'), chr(0b1100100) + '\x65' + chr(0b1011 + 0o130) + chr(4539 - 4428) + '\144' + chr(3771 - 3670))(chr(0b10110 + 0o137) + '\164' + chr(0b1100110) + chr(0b101101) + chr(56)), 0.01),), WLhLFaYh5g6M=ehT0Px3KOsy9('\060' + chr(0b1101111) + '\060', 8)):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x87\xa2\xdf\x9d\xf6\xae\x1d\xf2\t\xfe:R'), chr(7364 - 7264) + '\x65' + chr(0b1100011) + chr(9442 - 9331) + chr(0b100110 + 0o76) + chr(0b1100101))('\x75' + '\164' + chr(0b1100110) + chr(0b101101) + chr(56))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\xcf\xf6\x96\xca\x89`\xf4p\x80\x17O'), chr(100) + chr(101) + '\143' + chr(0b10100 + 0o133) + chr(0b1100100) + chr(101))('\x75' + '\x74' + chr(8321 - 8219) + chr(0b101101) + chr(56)))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\x83\xfa\xda\xf8\xe1j\x84\x0c\xf8TO'), chr(0b101111 + 0o65) + chr(101) + '\143' + chr(0b1000100 + 0o53) + '\x64' + chr(0b1100101))(chr(0b1000010 + 0o63) + chr(3661 - 3545) + '\x66' + chr(45) + chr(3123 - 3067))) and (not WLhLFaYh5g6M):
xafqLlk3kkUe(oVre8I6UXc3b.logger, xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\x96\xfe\x82\xd3\xb6O'), chr(0b1100100) + chr(2497 - 2396) + '\143' + '\157' + '\144' + chr(0b1011100 + 0o11))('\x75' + '\164' + '\146' + chr(0b11011 + 0o22) + chr(191 - 135)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x87\xf8\x85\xd7\xb1R\xd46\xef\x0cN\x1fT\x9c\xf0Y\x154\xadb5-\x0b\xf3\xaf\xffI\x8b\xe4\x13=\xd0nE\xa0\xa2t\xec['), chr(100) + chr(101) + '\x63' + '\x6f' + chr(0b1100100 + 0o0) + chr(0b1001111 + 0o26))(chr(4117 - 4000) + chr(11930 - 11814) + chr(0b1100010 + 0o4) + chr(0b11001 + 0o24) + chr(56)))
return
for RqocVGOryNPv in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\x9a\xe3\x88\xcf\xb4M\xc2'), '\144' + chr(101) + chr(0b101010 + 0o71) + chr(111) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(116) + '\x66' + chr(0b101101) + '\070')):
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x98\x99\xe5\x98\xe5\xb7X\xc5-\xa2\x04X\x08C'), chr(0b1010111 + 0o15) + '\145' + '\143' + chr(111) + chr(100) + chr(101))('\x75' + chr(6877 - 6761) + chr(102) + chr(45) + chr(2404 - 2348)))(kvstore=Dlwsb3sX_cE9, optimizer=XdKNcYRObPK3, optimizer_params=Jc4PFUw40SRS, force_init=WLhLFaYh5g6M)
oVre8I6UXc3b.ctv6B9B5H79m = ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', 0o10)
|
apache/incubator-mxnet
|
python/mxnet/module/sequential_module.py
|
SequentialModule.forward
|
def forward(self, data_batch, is_train=None):
"""Forward computation.
Parameters
----------
data_batch : DataBatch
is_train : bool
Default is ``None``, in which case `is_train` is take as ``self.for_training``.
"""
assert self.binded and self.params_initialized
# make a shallow copy, just to maintain necessary properties (if any) like
# bucket_key, pad, etc.
data_batch = copy.copy(data_batch)
for i_layer, module in enumerate(self._modules):
module.forward(data_batch, is_train=is_train)
if i_layer+1 == len(self._modules):
# the last layer, do not need to do the followings
break
data_batch.data = module.get_outputs()
if hasattr(data_batch, 'provide_data'):
# need to update this, in case the internal module is using bucketing
# or whatever
data_names = [x[0] for x in module.output_shapes]
assert len(data_names) == len(data_batch.data)
data_batch.provide_data = [(name, x.shape) for name, x in
zip(data_names, data_batch.data)]
|
python
|
def forward(self, data_batch, is_train=None):
"""Forward computation.
Parameters
----------
data_batch : DataBatch
is_train : bool
Default is ``None``, in which case `is_train` is take as ``self.for_training``.
"""
assert self.binded and self.params_initialized
# make a shallow copy, just to maintain necessary properties (if any) like
# bucket_key, pad, etc.
data_batch = copy.copy(data_batch)
for i_layer, module in enumerate(self._modules):
module.forward(data_batch, is_train=is_train)
if i_layer+1 == len(self._modules):
# the last layer, do not need to do the followings
break
data_batch.data = module.get_outputs()
if hasattr(data_batch, 'provide_data'):
# need to update this, in case the internal module is using bucketing
# or whatever
data_names = [x[0] for x in module.output_shapes]
assert len(data_names) == len(data_batch.data)
data_batch.provide_data = [(name, x.shape) for name, x in
zip(data_names, data_batch.data)]
|
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] |
Forward computation.
Parameters
----------
data_batch : DataBatch
is_train : bool
Default is ``None``, in which case `is_train` is take as ``self.for_training``.
|
[
"Forward",
"computation",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/sequential_module.py#L327-L356
|
train
|
Forward computation.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b10110 + 0o36), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(54) + chr(2077 - 2027), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10111 + 0o130) + '\063' + '\x37' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1725 - 1614) + chr(0b110001) + chr(49) + '\x31', 37663 - 37655), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\x35' + chr(0b11011 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(1924 - 1876) + '\157' + chr(1993 - 1942) + chr(1163 - 1113), 25267 - 25259), ehT0Px3KOsy9(chr(1898 - 1850) + '\x6f' + chr(0b110011) + '\x31' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(49) + chr(1151 - 1098), 2195 - 2187), ehT0Px3KOsy9(chr(1934 - 1886) + chr(111) + chr(0b110001) + '\x37' + chr(0b10101 + 0o33), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101000 + 0o7) + chr(0b110010) + chr(0b11010 + 0o30) + chr(52), 0b1000), ehT0Px3KOsy9(chr(370 - 322) + chr(10505 - 10394) + '\062' + '\x37', 0b1000), ehT0Px3KOsy9(chr(2110 - 2062) + chr(6715 - 6604) + chr(0b1111 + 0o46) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(101 - 53) + chr(2867 - 2756) + '\063' + '\063' + '\x32', 33432 - 33424), ehT0Px3KOsy9('\060' + '\x6f' + chr(1038 - 987) + chr(0b110010) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + '\061' + chr(0b110011) + chr(1023 - 970), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(55) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(6376 - 6265) + chr(50) + chr(1117 - 1063) + chr(607 - 559), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(1594 - 1546) + chr(770 - 716), 30812 - 30804), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(2080 - 2030) + '\066' + chr(0b11 + 0o63), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\066' + chr(1362 - 1308), 6190 - 6182), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + '\067' + chr(2402 - 2348), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010 + 0o0) + chr(0b10111 + 0o37) + chr(0b110 + 0o61), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(55) + '\x37', 21425 - 21417), ehT0Px3KOsy9(chr(1341 - 1293) + chr(8096 - 7985) + chr(927 - 876) + chr(261 - 206) + chr(0b100000 + 0o27), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + '\x33' + chr(0b100 + 0o60) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(1208 - 1097) + '\x31' + chr(54) + chr(2189 - 2134), 8058 - 8050), ehT0Px3KOsy9('\060' + chr(9271 - 9160) + chr(55) + chr(1492 - 1442), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4312 - 4201) + chr(0b11010 + 0o30) + chr(502 - 449) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(49) + chr(0b110101) + chr(1483 - 1433), 0b1000), ehT0Px3KOsy9(chr(1692 - 1644) + chr(0b1101111) + chr(0b110011) + chr(0b101110 + 0o4) + chr(0b110110), 34078 - 34070), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + chr(2074 - 2024) + '\x34' + chr(0b101100 + 0o7), 52201 - 52193), ehT0Px3KOsy9(chr(0b110000) + chr(11201 - 11090) + '\061' + chr(54) + chr(50), 8), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(905 - 794) + chr(50) + chr(54) + chr(0b11111 + 0o24), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1240 - 1191) + chr(49) + '\061', 8), ehT0Px3KOsy9(chr(2174 - 2126) + '\157' + chr(1957 - 1908) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(2344 - 2291) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(611 - 563) + chr(8495 - 8384) + chr(0b110010) + '\x35' + chr(100 - 47), 30909 - 30901), ehT0Px3KOsy9(chr(421 - 373) + chr(0b1010000 + 0o37) + chr(53) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(380 - 330) + chr(2201 - 2153) + chr(50), 60531 - 60523)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(7184 - 7073) + chr(2650 - 2597) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'2'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(3259 - 3148) + chr(100) + chr(0b1000110 + 0o37))(chr(7463 - 7346) + '\x74' + chr(0b10110 + 0o120) + chr(1776 - 1731) + chr(0b10100 + 0o44)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GbbcCHUNFMj5(oVre8I6UXc3b, idr841wg0ysW, axnxdawmCuz_=None):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"j'\xa88\xa5l\xffN53\xc3g"), chr(0b1011001 + 0o13) + chr(0b1100101) + '\143' + '\157' + chr(0b110101 + 0o57) + '\145')('\165' + '\x74' + chr(0b111100 + 0o52) + chr(0b101101) + chr(0b11111 + 0o31))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'PJ\x813\x99K\x82HLM\xeez'), chr(0b110001 + 0o63) + chr(0b11110 + 0o107) + chr(99) + '\157' + '\144' + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + '\x2d' + chr(1595 - 1539)))
idr841wg0ysW = igThHS4jwVsa.igThHS4jwVsa(idr841wg0ysW)
for (JLH09vE5lFSk, RqocVGOryNPv) in YlkZvXL8qwsX(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'C\x1f\x94-\x9cv\xaf~'), chr(100) + '\x65' + '\x63' + chr(111) + '\144' + '\x65')(chr(117) + chr(0b1100110 + 0o16) + chr(2188 - 2086) + chr(0b101101) + chr(1169 - 1113)))):
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'[\x10\x99*\xaaR\x9fC>O\xfe"'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(4953 - 4842) + '\144' + chr(0b1001000 + 0o35))(chr(0b1110101) + '\164' + '\x66' + chr(45) + chr(0b111000)))(idr841wg0ysW, is_train=axnxdawmCuz_)
if JLH09vE5lFSk + ehT0Px3KOsy9(chr(98 - 50) + chr(0b1101111) + chr(0b101010 + 0o7), 50573 - 50565) == c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'C\x1f\x94-\x9cv\xaf~'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(6157 - 6057) + chr(0b11010 + 0o113))(chr(7542 - 7425) + chr(116) + chr(102) + '\055' + chr(0b11000 + 0o40)))):
break
idr841wg0ysW.ULnjp6D6efFH = RqocVGOryNPv.get_outputs()
if lot1PSoAwYhj(idr841wg0ysW, xafqLlk3kkUe(SXOLrMavuUCe(b'l\x00\x94?\x80~\xafR\x1cc\xe0v'), chr(6285 - 6185) + '\145' + chr(9518 - 9419) + chr(0b1101111) + '\x64' + '\x65')(chr(0b100110 + 0o117) + chr(0b1110100) + '\x66' + chr(1714 - 1669) + chr(0b101011 + 0o15))):
qBtzKag1J9_6 = [OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', ord("\x08"))] for OeWW0F1dBPRQ in RqocVGOryNPv.output_shapes]
assert c2A0yzQpDQB3(qBtzKag1J9_6) == c2A0yzQpDQB3(xafqLlk3kkUe(idr841wg0ysW, xafqLlk3kkUe(SXOLrMavuUCe(b'I>\x95#\x99,\x8e;\x1dd\xd2_'), chr(0b1100100 + 0o0) + chr(7397 - 7296) + chr(5527 - 5428) + '\157' + chr(0b1100100) + chr(0b1100101 + 0o0))(chr(0b1001101 + 0o50) + chr(116) + '\146' + chr(0b101101) + '\x38')))
idr841wg0ysW.W_4juOjmKyw_ = [(AIvJRzLdDfgF, OeWW0F1dBPRQ.nauYfLglTpcb) for (AIvJRzLdDfgF, OeWW0F1dBPRQ) in pZ0NK2y6HRbn(qBtzKag1J9_6, idr841wg0ysW.ULnjp6D6efFH)]
|
apache/incubator-mxnet
|
python/mxnet/module/sequential_module.py
|
SequentialModule.backward
|
def backward(self, out_grads=None):
"""Backward computation."""
assert self.binded and self.params_initialized
for i_layer, module in reversed(list(zip(range(len(self._modules)), self._modules))):
module.backward(out_grads=out_grads)
if i_layer == 0:
break
out_grads = module.get_input_grads()
|
python
|
def backward(self, out_grads=None):
"""Backward computation."""
assert self.binded and self.params_initialized
for i_layer, module in reversed(list(zip(range(len(self._modules)), self._modules))):
module.backward(out_grads=out_grads)
if i_layer == 0:
break
out_grads = module.get_input_grads()
|
[
"def",
"backward",
"(",
"self",
",",
"out_grads",
"=",
"None",
")",
":",
"assert",
"self",
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"binded",
"and",
"self",
".",
"params_initialized",
"for",
"i_layer",
",",
"module",
"in",
"reversed",
"(",
"list",
"(",
"zip",
"(",
"range",
"(",
"len",
"(",
"self",
".",
"_modules",
")",
")",
",",
"self",
".",
"_modules",
")",
")",
")",
":",
"module",
".",
"backward",
"(",
"out_grads",
"=",
"out_grads",
")",
"if",
"i_layer",
"==",
"0",
":",
"break",
"out_grads",
"=",
"module",
".",
"get_input_grads",
"(",
")"
] |
Backward computation.
|
[
"Backward",
"computation",
"."
] |
1af29e9c060a4c7d60eeaacba32afdb9a7775ba7
|
https://github.com/apache/incubator-mxnet/blob/1af29e9c060a4c7d60eeaacba32afdb9a7775ba7/python/mxnet/module/sequential_module.py#L358-L367
|
train
|
Backward computation.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\064' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b10101 + 0o41) + chr(54), 45878 - 45870), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(1313 - 1260) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(621 - 573) + chr(0b110010), 41151 - 41143), ehT0Px3KOsy9(chr(112 - 64) + '\x6f' + '\x31' + '\x36' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\x34' + '\060', 0b1000), ehT0Px3KOsy9(chr(1476 - 1428) + chr(111) + '\062' + '\x33', 12313 - 12305), ehT0Px3KOsy9(chr(1805 - 1757) + chr(7842 - 7731) + '\x32' + chr(1078 - 1026) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(2222 - 2173) + chr(0b110100) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000 + 0o2) + chr(0b101000 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\066' + '\065', 36448 - 36440), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1 + 0o60) + chr(0b110011 + 0o2) + chr(2002 - 1951), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(1521 - 1472) + '\067' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(8436 - 8325) + chr(0b101100 + 0o11) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1416 - 1368) + '\x6f' + '\066', 20286 - 20278), ehT0Px3KOsy9(chr(840 - 792) + chr(3977 - 3866) + chr(49) + chr(49) + chr(886 - 837), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(10586 - 10475) + chr(782 - 732) + '\x32' + '\066', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + '\065' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8183 - 8072) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b110001) + chr(0b110000 + 0o0), 42055 - 42047), ehT0Px3KOsy9(chr(1726 - 1678) + chr(11850 - 11739) + chr(773 - 723) + '\x36' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(641 - 593) + '\157' + chr(0b1010 + 0o51) + chr(55) + '\063', 18867 - 18859), ehT0Px3KOsy9('\060' + '\157' + chr(55) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b110001) + '\x37' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(50) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(9255 - 9144) + chr(50) + '\063' + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(9078 - 8967) + chr(0b110010) + chr(49) + chr(1272 - 1222), 13415 - 13407), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(1805 - 1754) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110100) + '\x33', 11117 - 11109), ehT0Px3KOsy9(chr(1583 - 1535) + chr(4187 - 4076) + chr(0b110100) + chr(0b110101), 3441 - 3433), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(82 - 34) + chr(0b111 + 0o60), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1562 - 1513) + chr(1456 - 1407) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(679 - 630) + chr(0b101111 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + '\063' + '\x31' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\061' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + '\x36' + chr(2087 - 2039), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x35' + chr(0b100110 + 0o17), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b11001 + 0o32) + '\062', 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(7364 - 7253) + '\x31' + '\061' + chr(0b110010), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1163 - 1110) + chr(1694 - 1646), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd'), '\144' + chr(0b10111 + 0o116) + chr(8773 - 8674) + chr(1389 - 1278) + chr(0b1100100) + '\x65')(chr(0b1000010 + 0o63) + '\164' + chr(102) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NkF4FoEFSIEn(oVre8I6UXc3b, smjiSYx587nD=None):
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"\x95\xe3z39\x96&\xe6/'b\x1b"), chr(100) + '\145' + chr(99) + '\157' + chr(100) + '\145')('\x75' + chr(5735 - 5619) + chr(102) + chr(45) + chr(56))) and xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\x8eS8\x05\xb1[\xe0VYO\x06'), '\x64' + '\x65' + chr(0b1010001 + 0o22) + chr(12309 - 12198) + chr(0b1100100) + '\145')(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(1706 - 1650)))
for (JLH09vE5lFSk, RqocVGOryNPv) in RFiwrCZH9Ie6(YyaZ4tpXu4lf(pZ0NK2y6HRbn(vQr8gNKaIaWE(c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\xdbF&\x00\x8cv\xd6'), '\144' + '\145' + chr(0b1100011) + chr(9701 - 9590) + chr(100) + '\145')(chr(117) + '\x74' + '\146' + '\x2d' + chr(0b110100 + 0o4))))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\xdbF&\x00\x8cv\xd6'), '\144' + chr(0b1100101) + chr(3385 - 3286) + '\x6f' + '\x64' + chr(101))(chr(0b101010 + 0o113) + chr(9150 - 9034) + '\x66' + chr(45) + chr(0b10 + 0o66)))))):
xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\xd7J)\x02\x81a\xc1'), '\144' + chr(0b1011111 + 0o6) + chr(99) + chr(0b10110 + 0o131) + chr(100) + chr(4601 - 4500))('\165' + chr(0b110 + 0o156) + chr(0b1100000 + 0o6) + chr(0b101101) + '\x38'))(out_grads=smjiSYx587nD)
if JLH09vE5lFSk == ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110000), 8):
break
smjiSYx587nD = RqocVGOryNPv.get_input_grads()
|
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