repo
stringlengths 7
54
| path
stringlengths 4
223
| func_name
stringlengths 1
134
| original_string
stringlengths 75
104k
| language
stringclasses 1
value | code
stringlengths 75
104k
| code_tokens
listlengths 20
28.4k
| docstring
stringlengths 1
46.3k
| docstring_tokens
listlengths 1
1.66k
| sha
stringlengths 40
40
| url
stringlengths 87
315
| partition
stringclasses 1
value | summary
stringlengths 4
350
| obf_code
stringlengths 7.85k
764k
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
general_conv
|
def general_conv(x,
num_filters=64,
filter_size=7,
stride=1,
stddev=0.02,
padding="VALID",
name="conv",
do_norm="instance",
do_relu=True,
relufactor=0):
"""Generalized convolution layer."""
with tf.variable_scope(name):
x = layers().Conv2D(
num_filters,
filter_size,
stride,
padding,
activation=None,
kernel_initializer=tf.truncated_normal_initializer(stddev=stddev),
bias_initializer=tf.constant_initializer(0.0))(x)
if do_norm == "layer":
x = layer_norm(x)
elif do_norm == "instance":
x = instance_norm(x)
if do_relu:
if relufactor == 0:
x = tf.nn.relu(x, "relu")
else:
x = lrelu(x, leak=relufactor)
return x
|
python
|
def general_conv(x,
num_filters=64,
filter_size=7,
stride=1,
stddev=0.02,
padding="VALID",
name="conv",
do_norm="instance",
do_relu=True,
relufactor=0):
"""Generalized convolution layer."""
with tf.variable_scope(name):
x = layers().Conv2D(
num_filters,
filter_size,
stride,
padding,
activation=None,
kernel_initializer=tf.truncated_normal_initializer(stddev=stddev),
bias_initializer=tf.constant_initializer(0.0))(x)
if do_norm == "layer":
x = layer_norm(x)
elif do_norm == "instance":
x = instance_norm(x)
if do_relu:
if relufactor == 0:
x = tf.nn.relu(x, "relu")
else:
x = lrelu(x, leak=relufactor)
return x
|
[
"def",
"general_conv",
"(",
"x",
",",
"num_filters",
"=",
"64",
",",
"filter_size",
"=",
"7",
",",
"stride",
"=",
"1",
",",
"stddev",
"=",
"0.02",
",",
"padding",
"=",
"\"VALID\"",
",",
"name",
"=",
"\"conv\"",
",",
"do_norm",
"=",
"\"instance\"",
",",
"do_relu",
"=",
"True",
",",
"relufactor",
"=",
"0",
")",
":",
"with",
"tf",
".",
"variable_scope",
"(",
"name",
")",
":",
"x",
"=",
"layers",
"(",
")",
".",
"Conv2D",
"(",
"num_filters",
",",
"filter_size",
",",
"stride",
",",
"padding",
",",
"activation",
"=",
"None",
",",
"kernel_initializer",
"=",
"tf",
".",
"truncated_normal_initializer",
"(",
"stddev",
"=",
"stddev",
")",
",",
"bias_initializer",
"=",
"tf",
".",
"constant_initializer",
"(",
"0.0",
")",
")",
"(",
"x",
")",
"if",
"do_norm",
"==",
"\"layer\"",
":",
"x",
"=",
"layer_norm",
"(",
"x",
")",
"elif",
"do_norm",
"==",
"\"instance\"",
":",
"x",
"=",
"instance_norm",
"(",
"x",
")",
"if",
"do_relu",
":",
"if",
"relufactor",
"==",
"0",
":",
"x",
"=",
"tf",
".",
"nn",
".",
"relu",
"(",
"x",
",",
"\"relu\"",
")",
"else",
":",
"x",
"=",
"lrelu",
"(",
"x",
",",
"leak",
"=",
"relufactor",
")",
"return",
"x"
] |
Generalized convolution layer.
|
[
"Generalized",
"convolution",
"layer",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L3655-L3686
|
train
|
Generalized convolution layer.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b101001 + 0o106) + '\x30', 23107 - 23099), ehT0Px3KOsy9(chr(48) + chr(10557 - 10446) + chr(2456 - 2403) + chr(54), 51596 - 51588), ehT0Px3KOsy9(chr(1843 - 1795) + '\157' + chr(51) + '\x35' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100000 + 0o23) + chr(0b110100) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110011 + 0o74) + chr(1960 - 1910) + '\063' + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110000) + chr(0b10001 + 0o43), 8716 - 8708), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(51) + chr(54) + chr(2452 - 2400), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(50) + '\060' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(8303 - 8192) + '\061' + chr(52) + chr(1379 - 1330), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(958 - 908) + '\x34' + chr(1891 - 1841), 24333 - 24325), ehT0Px3KOsy9(chr(380 - 332) + chr(111) + chr(0b110010) + chr(935 - 885) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2449 - 2399) + '\x30' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\060' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8255 - 8144) + '\x33' + '\064' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1011 + 0o46) + chr(0b110110) + chr(0b101011 + 0o11), 49483 - 49475), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b100011 + 0o16) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b0 + 0o62) + chr(1583 - 1533) + chr(0b100111 + 0o11), 46750 - 46742), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011 + 0o0) + '\061' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + '\061' + chr(0b110110), 9541 - 9533), ehT0Px3KOsy9(chr(2236 - 2188) + chr(111) + chr(50) + chr(0b11110 + 0o27) + chr(0b1000 + 0o55), 0o10), ehT0Px3KOsy9('\060' + chr(0b11 + 0o154) + chr(0b10011 + 0o40) + chr(0b10111 + 0o35) + '\067', 23558 - 23550), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(0b110000), 15863 - 15855), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(1646 - 1597) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(355 - 306) + chr(0b100101 + 0o21) + chr(0b11 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(1610 - 1562) + chr(0b1101111) + chr(0b10 + 0o60) + chr(0b110011) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110001) + chr(1207 - 1158), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110101) + '\066', 8), ehT0Px3KOsy9(chr(2238 - 2190) + chr(0b11100 + 0o123) + chr(49) + chr(50) + '\067', 46610 - 46602), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b110100) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1590 - 1542) + chr(0b1101111) + '\061' + chr(0b110000 + 0o2) + chr(0b10110 + 0o41), 8), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(52) + chr(49), 8), ehT0Px3KOsy9(chr(749 - 701) + chr(111) + chr(1326 - 1276) + chr(0b100010 + 0o17) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(123 - 75) + chr(0b111110 + 0o61) + chr(49) + chr(0b1110 + 0o50) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + chr(53) + chr(0b110111), 64877 - 64869), ehT0Px3KOsy9('\x30' + chr(9571 - 9460) + '\x31' + chr(0b110000) + '\x30', 14235 - 14227), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + chr(2138 - 2089) + chr(0b100 + 0o54) + chr(0b10011 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5115 - 5004) + chr(0b1110 + 0o45) + '\x33' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(2084 - 2036) + chr(3726 - 3615) + chr(0b110010) + chr(1251 - 1197) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(52) + '\x37', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1351 - 1303) + '\x6f' + chr(0b100011 + 0o22) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'.'), chr(9945 - 9845) + '\x65' + chr(0b1000011 + 0o40) + chr(10695 - 10584) + chr(0b1100100) + '\x65')(chr(10784 - 10667) + chr(0b100101 + 0o117) + '\146' + '\055' + chr(0b101010 + 0o16)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def V6D2cwtbsqBQ(OeWW0F1dBPRQ, zVkWryy7Pzt7=ehT0Px3KOsy9(chr(1837 - 1789) + '\x6f' + '\061' + '\x30' + chr(0b110000), 8), deybX8NJ0oEI=ehT0Px3KOsy9('\060' + chr(6252 - 6141) + chr(0b110111), 1793 - 1785), VKQ5wcD30goF=ehT0Px3KOsy9(chr(1579 - 1531) + chr(6752 - 6641) + '\061', 0o10), D1riUsWffEJl=0.02, TFLseEYASEKG=xafqLlk3kkUe(SXOLrMavuUCe(b'Vo\xa2\xad\xd9'), chr(0b101100 + 0o70) + '\x65' + chr(0b1100010 + 0o1) + '\157' + chr(0b1100010 + 0o2) + '\x65')(chr(117) + chr(116) + '\146' + chr(0b101101) + chr(0b10101 + 0o43)), AIvJRzLdDfgF=xafqLlk3kkUe(SXOLrMavuUCe(b'cA\x80\x92'), chr(5186 - 5086) + chr(5971 - 5870) + chr(0b1100011) + '\x6f' + chr(8327 - 8227) + chr(6882 - 6781))(chr(117) + '\x74' + chr(1225 - 1123) + chr(0b1101 + 0o40) + '\070'), ke6FexINsh3W=xafqLlk3kkUe(SXOLrMavuUCe(b'i@\x9d\x90\xfc\xaa\x97\xe6'), chr(0b1100100) + chr(0b11100 + 0o111) + '\143' + chr(0b1101111) + '\x64' + '\145')(chr(2887 - 2770) + '\x74' + '\x66' + chr(45) + chr(0b111000)), C9ZUUpZTm4o7=ehT0Px3KOsy9('\060' + '\157' + chr(2180 - 2131), 8), dqtHD1GEFhd3=ehT0Px3KOsy9('\060' + '\157' + chr(0b110000), 8)):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'vO\x9c\x8d\xfc\xa6\x98\xe6>\xd1\xf5\xeft"'), chr(100) + '\x65' + chr(7572 - 7473) + chr(0b101111 + 0o100) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + chr(0b100101 + 0o10) + chr(0b111000)))(AIvJRzLdDfgF):
OeWW0F1dBPRQ = sGi5Aql23May().Conv2D(zVkWryy7Pzt7, deybX8NJ0oEI, VKQ5wcD30goF, TFLseEYASEKG, activation=None, kernel_initializer=IDJ2eXGCBCDu.truncated_normal_initializer(stddev=D1riUsWffEJl), bias_initializer=IDJ2eXGCBCDu.constant_initializer(0.0))(OeWW0F1dBPRQ)
if ke6FexINsh3W == xafqLlk3kkUe(SXOLrMavuUCe(b'lO\x97\x81\xef'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(1013 - 902) + chr(0b111010 + 0o52) + '\x65')('\x75' + '\164' + chr(0b10100 + 0o122) + chr(0b101 + 0o50) + '\x38'):
OeWW0F1dBPRQ = EbVYEOXA2Nzq(OeWW0F1dBPRQ)
elif ke6FexINsh3W == xafqLlk3kkUe(SXOLrMavuUCe(b'i@\x9d\x90\xfc\xaa\x97\xe6'), '\144' + '\145' + '\143' + '\157' + '\144' + chr(101))('\165' + chr(7166 - 7050) + '\x66' + chr(0b101101) + chr(56)):
OeWW0F1dBPRQ = FEobd0bbF9xL(OeWW0F1dBPRQ)
if C9ZUUpZTm4o7:
if dqtHD1GEFhd3 == ehT0Px3KOsy9('\060' + chr(3725 - 3614) + '\060', 8):
OeWW0F1dBPRQ = IDJ2eXGCBCDu.nn.relu(OeWW0F1dBPRQ, xafqLlk3kkUe(SXOLrMavuUCe(b'rK\x82\x91'), '\144' + '\145' + chr(99) + chr(0b1101111) + '\x64' + chr(101))('\x75' + '\x74' + '\146' + '\x2d' + chr(56)))
else:
OeWW0F1dBPRQ = cTCWPzYxG6P7(OeWW0F1dBPRQ, leak=dqtHD1GEFhd3)
return OeWW0F1dBPRQ
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
patch_discriminator
|
def patch_discriminator(x, filters=64, filter_size=5, n=4,
name="patch_discrim"):
"""Patch descriminator."""
with tf.variable_scope(name):
x_shape = shape_list(x)
spatial_dims = [x_shape[1] // 4, x_shape[2] // 4]
x = tf.random_crop(x, [x_shape[0]] + spatial_dims + [x_shape[3]])
for i in range(n):
x = general_conv(
x=x,
num_filters=filters * 2**i,
filter_size=filter_size,
stride=2 if i != n - 1 else 1,
stddev=0.02,
padding="SAME",
name="c%d" % i,
do_norm="instance" if i != 0 else False,
do_relu=i != n - 1,
relufactor=0.2)
x = tf.reduce_mean(x, [1, 2])
return x
|
python
|
def patch_discriminator(x, filters=64, filter_size=5, n=4,
name="patch_discrim"):
"""Patch descriminator."""
with tf.variable_scope(name):
x_shape = shape_list(x)
spatial_dims = [x_shape[1] // 4, x_shape[2] // 4]
x = tf.random_crop(x, [x_shape[0]] + spatial_dims + [x_shape[3]])
for i in range(n):
x = general_conv(
x=x,
num_filters=filters * 2**i,
filter_size=filter_size,
stride=2 if i != n - 1 else 1,
stddev=0.02,
padding="SAME",
name="c%d" % i,
do_norm="instance" if i != 0 else False,
do_relu=i != n - 1,
relufactor=0.2)
x = tf.reduce_mean(x, [1, 2])
return x
|
[
"def",
"patch_discriminator",
"(",
"x",
",",
"filters",
"=",
"64",
",",
"filter_size",
"=",
"5",
",",
"n",
"=",
"4",
",",
"name",
"=",
"\"patch_discrim\"",
")",
":",
"with",
"tf",
".",
"variable_scope",
"(",
"name",
")",
":",
"x_shape",
"=",
"shape_list",
"(",
"x",
")",
"spatial_dims",
"=",
"[",
"x_shape",
"[",
"1",
"]",
"//",
"4",
",",
"x_shape",
"[",
"2",
"]",
"//",
"4",
"]",
"x",
"=",
"tf",
".",
"random_crop",
"(",
"x",
",",
"[",
"x_shape",
"[",
"0",
"]",
"]",
"+",
"spatial_dims",
"+",
"[",
"x_shape",
"[",
"3",
"]",
"]",
")",
"for",
"i",
"in",
"range",
"(",
"n",
")",
":",
"x",
"=",
"general_conv",
"(",
"x",
"=",
"x",
",",
"num_filters",
"=",
"filters",
"*",
"2",
"**",
"i",
",",
"filter_size",
"=",
"filter_size",
",",
"stride",
"=",
"2",
"if",
"i",
"!=",
"n",
"-",
"1",
"else",
"1",
",",
"stddev",
"=",
"0.02",
",",
"padding",
"=",
"\"SAME\"",
",",
"name",
"=",
"\"c%d\"",
"%",
"i",
",",
"do_norm",
"=",
"\"instance\"",
"if",
"i",
"!=",
"0",
"else",
"False",
",",
"do_relu",
"=",
"i",
"!=",
"n",
"-",
"1",
",",
"relufactor",
"=",
"0.2",
")",
"x",
"=",
"tf",
".",
"reduce_mean",
"(",
"x",
",",
"[",
"1",
",",
"2",
"]",
")",
"return",
"x"
] |
Patch descriminator.
|
[
"Patch",
"descriminator",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L3689-L3709
|
train
|
Patch descriminator.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(2243 - 2194) + '\x30' + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11100 + 0o25) + chr(1498 - 1444) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + chr(1016 - 964) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1969 - 1918) + chr(0b110111) + chr(599 - 550), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b110100) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + '\061' + chr(0b1000 + 0o52) + chr(0b110101 + 0o2), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5745 - 5634) + chr(1775 - 1725) + '\060' + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1111 + 0o42) + chr(2051 - 1998) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\060' + chr(0b110010), 15850 - 15842), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001 + 0o3), 0b1000), ehT0Px3KOsy9('\x30' + chr(1793 - 1682) + '\x33' + '\x35' + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(55) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10000 + 0o43) + '\x32' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(1816 - 1705) + chr(0b110010) + chr(48) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110010) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5733 - 5622) + chr(1287 - 1237) + chr(0b110100) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b110100) + chr(54), 0b1000), ehT0Px3KOsy9(chr(2186 - 2138) + '\157' + chr(0b110011) + '\060' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1528 - 1477) + chr(0b110011) + '\063', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b10110 + 0o131) + '\063' + chr(0b110011) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b10100 + 0o34) + chr(0b110101), 39391 - 39383), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b11101 + 0o122) + chr(0b10001 + 0o42) + chr(1435 - 1386) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1093 - 1042) + '\x33' + chr(0b111 + 0o57), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(51) + chr(54), 8), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(54) + chr(1580 - 1529), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(52) + chr(0b110101), 64990 - 64982), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b110111) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1656 - 1608) + chr(111) + '\x33' + '\x35' + chr(0b1110 + 0o46), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1357 - 1306) + chr(53) + chr(0b11 + 0o61), 8), ehT0Px3KOsy9('\060' + chr(10701 - 10590) + chr(1323 - 1272) + chr(0b110011) + chr(0b10011 + 0o37), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b101101 + 0o102) + chr(1548 - 1499) + chr(55) + '\x34', 40544 - 40536), ehT0Px3KOsy9(chr(1955 - 1907) + '\157' + chr(0b100010 + 0o21) + chr(0b100100 + 0o23) + chr(1291 - 1240), 24704 - 24696), ehT0Px3KOsy9('\060' + chr(9004 - 8893) + '\x31' + chr(55) + chr(0b10111 + 0o37), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + '\061' + chr(2279 - 2228) + chr(562 - 513), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10000 + 0o43) + '\x34' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b110111) + chr(1082 - 1033), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10001 + 0o40) + '\x37' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6640 - 6529) + chr(0b110100), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(48), 34334 - 34326)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'j'), '\x64' + chr(0b1100101) + '\143' + '\157' + '\144' + chr(8009 - 7908))(chr(0b1110101) + chr(0b1110100) + chr(0b1001001 + 0o35) + chr(1222 - 1177) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aL8fqLpvyjvR(OeWW0F1dBPRQ, MErh319F3bgE=ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b110000) + '\x30', 0b1000), deybX8NJ0oEI=ehT0Px3KOsy9(chr(1956 - 1908) + '\x6f' + chr(53), 0o10), m1NkCryOw9Bx=ehT0Px3KOsy9(chr(258 - 210) + chr(11013 - 10902) + chr(0b110100), 8), AIvJRzLdDfgF=xafqLlk3kkUe(SXOLrMavuUCe(b'4\x12V\x9aft\x05>\xf3\t\xb0m\x80'), chr(100) + chr(0b110010 + 0o63) + chr(9152 - 9053) + '\x6f' + chr(1952 - 1852) + '\145')(chr(4785 - 4668) + chr(116) + '\146' + chr(1373 - 1328) + chr(0b11 + 0o65))):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'2\x12P\x90oI\r2\xdf\x19\xa1k\x9dZ'), chr(9971 - 9871) + chr(0b1100101) + chr(0b1100 + 0o127) + chr(111) + '\144' + chr(0b1100101))(chr(3455 - 3338) + '\164' + '\146' + chr(45) + '\x38'))(AIvJRzLdDfgF):
QQEXXbdZyz6m = qypPRW8fq869(OeWW0F1dBPRQ)
TWwVi7qAVoy2 = [QQEXXbdZyz6m[ehT0Px3KOsy9('\x30' + chr(3830 - 3719) + chr(0b10101 + 0o34), ord("\x08"))] // ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110100), 8), QQEXXbdZyz6m[ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b100011 + 0o114) + '\x32', 0o10)] // ehT0Px3KOsy9('\060' + chr(111) + chr(0b101111 + 0o5), 8)]
OeWW0F1dBPRQ = IDJ2eXGCBCDu.random_crop(OeWW0F1dBPRQ, [QQEXXbdZyz6m[ehT0Px3KOsy9('\x30' + '\x6f' + '\060', ord("\x08"))]] + TWwVi7qAVoy2 + [QQEXXbdZyz6m[ehT0Px3KOsy9('\x30' + chr(10526 - 10415) + '\063', 0o10)]])
for WVxHKyX45z_L in vQr8gNKaIaWE(m1NkCryOw9Bx):
OeWW0F1dBPRQ = V6D2cwtbsqBQ(x=OeWW0F1dBPRQ, num_filters=MErh319F3bgE * ehT0Px3KOsy9('\060' + chr(0b1001011 + 0o44) + '\x32', 8) ** WVxHKyX45z_L, filter_size=deybX8NJ0oEI, stride=ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101 + 0o142) + chr(2071 - 2021), 8) if WVxHKyX45z_L != m1NkCryOw9Bx - ehT0Px3KOsy9('\060' + '\157' + '\061', 8) else ehT0Px3KOsy9('\x30' + chr(111) + chr(49), 8), stddev=0.02, padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x172o\xbc'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1100100) + chr(6312 - 6211))('\165' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b11010 + 0o36)), name=xafqLlk3kkUe(SXOLrMavuUCe(b"'VF"), '\144' + chr(0b1100101) + chr(99) + chr(0b100001 + 0o116) + chr(8422 - 8322) + '\145')('\x75' + chr(116) + chr(0b1100110) + chr(0b101101) + chr(56)) % WVxHKyX45z_L, do_norm=xafqLlk3kkUe(SXOLrMavuUCe(b'-\x1dQ\x8doE\x022'), '\x64' + '\145' + '\143' + '\x6f' + chr(9856 - 9756) + '\145')('\165' + chr(0b1110010 + 0o2) + '\x66' + '\x2d' + chr(0b100011 + 0o25)) if WVxHKyX45z_L != ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(48), 8) else ehT0Px3KOsy9('\060' + '\157' + chr(1103 - 1055), 8), do_relu=WVxHKyX45z_L != m1NkCryOw9Bx - ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101101 + 0o4), 8), relufactor=0.2)
OeWW0F1dBPRQ = IDJ2eXGCBCDu.reduce_mean(OeWW0F1dBPRQ, [ehT0Px3KOsy9(chr(1857 - 1809) + chr(111) + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062', 8)])
return OeWW0F1dBPRQ
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
mean_with_attention
|
def mean_with_attention(x, name, num_heads=4):
"""Mean and attention to reduce spatial dimensions."""
with tf.variable_scope(name):
shape = shape_list(x)
m = tf.reduce_mean(x, [1, 2])
a = layers().Dense(num_heads, name="mean_attn")(x)
s = tf.reshape(a, [shape[0], -1, num_heads])
s = tf.nn.softmax(s, axis=1)
s = tf.reshape(s, shape[:-1] + [1, num_heads])
am = tf.reduce_mean(tf.expand_dims(x, axis=-1) * s, [1, 2])
l = tf.concat([am, tf.expand_dims(m, axis=-1)], axis=-1)
return layers().Dense(2 * shape[-1], name="mean_attn_final")(
tf.reshape(l, [shape[0], (num_heads+1) * shape[-1]]))
|
python
|
def mean_with_attention(x, name, num_heads=4):
"""Mean and attention to reduce spatial dimensions."""
with tf.variable_scope(name):
shape = shape_list(x)
m = tf.reduce_mean(x, [1, 2])
a = layers().Dense(num_heads, name="mean_attn")(x)
s = tf.reshape(a, [shape[0], -1, num_heads])
s = tf.nn.softmax(s, axis=1)
s = tf.reshape(s, shape[:-1] + [1, num_heads])
am = tf.reduce_mean(tf.expand_dims(x, axis=-1) * s, [1, 2])
l = tf.concat([am, tf.expand_dims(m, axis=-1)], axis=-1)
return layers().Dense(2 * shape[-1], name="mean_attn_final")(
tf.reshape(l, [shape[0], (num_heads+1) * shape[-1]]))
|
[
"def",
"mean_with_attention",
"(",
"x",
",",
"name",
",",
"num_heads",
"=",
"4",
")",
":",
"with",
"tf",
".",
"variable_scope",
"(",
"name",
")",
":",
"shape",
"=",
"shape_list",
"(",
"x",
")",
"m",
"=",
"tf",
".",
"reduce_mean",
"(",
"x",
",",
"[",
"1",
",",
"2",
"]",
")",
"a",
"=",
"layers",
"(",
")",
".",
"Dense",
"(",
"num_heads",
",",
"name",
"=",
"\"mean_attn\"",
")",
"(",
"x",
")",
"s",
"=",
"tf",
".",
"reshape",
"(",
"a",
",",
"[",
"shape",
"[",
"0",
"]",
",",
"-",
"1",
",",
"num_heads",
"]",
")",
"s",
"=",
"tf",
".",
"nn",
".",
"softmax",
"(",
"s",
",",
"axis",
"=",
"1",
")",
"s",
"=",
"tf",
".",
"reshape",
"(",
"s",
",",
"shape",
"[",
":",
"-",
"1",
"]",
"+",
"[",
"1",
",",
"num_heads",
"]",
")",
"am",
"=",
"tf",
".",
"reduce_mean",
"(",
"tf",
".",
"expand_dims",
"(",
"x",
",",
"axis",
"=",
"-",
"1",
")",
"*",
"s",
",",
"[",
"1",
",",
"2",
"]",
")",
"l",
"=",
"tf",
".",
"concat",
"(",
"[",
"am",
",",
"tf",
".",
"expand_dims",
"(",
"m",
",",
"axis",
"=",
"-",
"1",
")",
"]",
",",
"axis",
"=",
"-",
"1",
")",
"return",
"layers",
"(",
")",
".",
"Dense",
"(",
"2",
"*",
"shape",
"[",
"-",
"1",
"]",
",",
"name",
"=",
"\"mean_attn_final\"",
")",
"(",
"tf",
".",
"reshape",
"(",
"l",
",",
"[",
"shape",
"[",
"0",
"]",
",",
"(",
"num_heads",
"+",
"1",
")",
"*",
"shape",
"[",
"-",
"1",
"]",
"]",
")",
")"
] |
Mean and attention to reduce spatial dimensions.
|
[
"Mean",
"and",
"attention",
"to",
"reduce",
"spatial",
"dimensions",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L3712-L3724
|
train
|
Mean and attention to reduce spatial dimensions.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\060' + chr(0b100111 + 0o16), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\060' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1318 - 1270) + '\x6f' + '\066' + '\x32', 0o10), ehT0Px3KOsy9(chr(909 - 861) + chr(0b101000 + 0o107) + '\x32' + chr(49) + chr(997 - 948), 48668 - 48660), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\062' + chr(1825 - 1773), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\061' + '\x31', 8), ehT0Px3KOsy9(chr(1592 - 1544) + chr(111) + chr(2239 - 2186) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b110101) + chr(1481 - 1429), 27762 - 27754), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + '\061' + chr(0b101100 + 0o10) + chr(49), 36667 - 36659), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + '\063' + '\061' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1010101 + 0o32) + chr(50) + chr(1561 - 1509) + chr(0b100000 + 0o20), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(54) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1664 - 1616) + chr(0b1101111) + chr(0b110001) + chr(54) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(52) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + chr(0b110011) + chr(1780 - 1726) + chr(0b10011 + 0o43), 8), ehT0Px3KOsy9(chr(1636 - 1588) + chr(10902 - 10791) + chr(0b10000 + 0o43) + chr(52) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x37' + chr(0b1101 + 0o44), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b110011) + chr(52), 14525 - 14517), ehT0Px3KOsy9(chr(48) + chr(0b10010 + 0o135) + '\061' + '\x33' + chr(987 - 934), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2061 - 1950) + chr(1090 - 1041) + '\x31' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2481 - 2430) + chr(0b110010 + 0o2) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110100) + chr(2278 - 2229), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + '\x32' + chr(2319 - 2266) + chr(0b100 + 0o60), 32071 - 32063), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + chr(0b110010 + 0o0) + chr(48) + chr(0b100000 + 0o23), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\x36' + chr(0b110001), 9425 - 9417), ehT0Px3KOsy9('\060' + chr(9770 - 9659) + chr(316 - 265) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + '\x31' + chr(54) + '\x31', 8), ehT0Px3KOsy9(chr(2032 - 1984) + '\x6f' + chr(0b110011) + chr(0b1 + 0o57) + chr(0b10101 + 0o36), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2307 - 2257) + '\067' + chr(0b100110 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(52) + '\067', 41981 - 41973), ehT0Px3KOsy9(chr(1056 - 1008) + chr(111) + chr(0b10010 + 0o37) + '\061' + chr(48), 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + '\062' + chr(49) + chr(0b1111 + 0o41), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\x34' + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100100 + 0o15) + '\x34' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b10010 + 0o44) + '\066', 8), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\x31' + '\062' + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\063' + chr(0b110000), 10199 - 10191), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b10000 + 0o137) + chr(1784 - 1735) + chr(55) + chr(1221 - 1167), 772 - 764), ehT0Px3KOsy9('\x30' + chr(10360 - 10249) + chr(2278 - 2229) + '\067' + chr(0b11100 + 0o26), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1334 - 1286) + '\157' + chr(53) + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb'), chr(100) + chr(101) + chr(99) + chr(111) + chr(0b10000 + 0o124) + '\145')(chr(0b1110101) + chr(0b110111 + 0o75) + chr(0b1100110) + chr(0b10100 + 0o31) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def XFv1x1Zquijl(OeWW0F1dBPRQ, AIvJRzLdDfgF, vRVqPOZ1hUG7=ehT0Px3KOsy9(chr(1093 - 1045) + chr(0b1101111) + '\064', 23603 - 23595)):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\xe0@\xe0\xf5\xebD\t>\xbd\xc3\x99\x05\x87'), chr(0b100010 + 0o102) + chr(8418 - 8317) + chr(99) + chr(0b1101111) + '\x64' + '\x65')(chr(6582 - 6465) + chr(0b1100111 + 0o15) + chr(102) + chr(834 - 789) + chr(56)))(AIvJRzLdDfgF):
nauYfLglTpcb = qypPRW8fq869(OeWW0F1dBPRQ)
r8ufID9JCHnI = IDJ2eXGCBCDu.reduce_mean(OeWW0F1dBPRQ, [ehT0Px3KOsy9('\x30' + chr(2423 - 2312) + '\x31', 45343 - 45335), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + '\062', 0b1000)])
XPh1qbAgrPgG = sGi5Aql23May().Dense(vRVqPOZ1hUG7, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\xe4S\xe7\xcb\xe8\\\x18\x0f'), chr(100) + chr(101) + chr(4767 - 4668) + '\x6f' + '\144' + chr(6282 - 6181))(chr(0b111110 + 0o67) + '\x74' + '\146' + chr(0b101101) + chr(56)))(OeWW0F1dBPRQ)
vGrByMSYMp9h = IDJ2eXGCBCDu.reshape(XPh1qbAgrPgG, [nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b111 + 0o51), 8)], -ehT0Px3KOsy9('\060' + chr(10400 - 10289) + '\061', 8), vRVqPOZ1hUG7])
vGrByMSYMp9h = IDJ2eXGCBCDu.nn.softmax(vGrByMSYMp9h, axis=ehT0Px3KOsy9('\060' + chr(11849 - 11738) + '\061', 8))
vGrByMSYMp9h = IDJ2eXGCBCDu.reshape(vGrByMSYMp9h, nauYfLglTpcb[:-ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b10001 + 0o136) + chr(2401 - 2352), 8)] + [ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + chr(0b101 + 0o54), 8), vRVqPOZ1hUG7])
Lg7oj1QP7SvK = IDJ2eXGCBCDu.reduce_mean(IDJ2eXGCBCDu.expand_dims(OeWW0F1dBPRQ, axis=-ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + '\x31', 8)) * vGrByMSYMp9h, [ehT0Px3KOsy9('\x30' + chr(7501 - 7390) + '\x31', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\062', 8)])
aLoH_Mt0dzwO = IDJ2eXGCBCDu.concat([Lg7oj1QP7SvK, IDJ2eXGCBCDu.expand_dims(r8ufID9JCHnI, axis=-ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1110 + 0o141) + '\x31', 8))], axis=-ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + chr(1400 - 1351), 8))
return xafqLlk3kkUe(sGi5Aql23May(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\xe4\\\xfa\xf1'), chr(0b1100100) + chr(101) + '\x63' + chr(861 - 750) + '\x64' + chr(0b1100100 + 0o1))(chr(0b1110101) + chr(116) + '\x66' + '\x2d' + chr(2807 - 2751)))(ehT0Px3KOsy9('\060' + chr(5161 - 5050) + chr(1584 - 1534), 8) * nauYfLglTpcb[-ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 8)], name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\xe4S\xe7\xcb\xe8\\\x18\x0f\x91\xc6\x9f\x1b\x83\x9a'), '\144' + chr(424 - 323) + chr(0b1010001 + 0o22) + chr(111) + chr(5770 - 5670) + chr(0b1000100 + 0o41))('\x75' + chr(0b11110 + 0o126) + '\146' + chr(0b101101) + chr(1318 - 1262)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xe4A\xe1\xf5\xf9M'), chr(0b1100100) + chr(0b100010 + 0o103) + chr(0b1100011) + chr(111) + chr(0b1011000 + 0o14) + chr(0b10000 + 0o125))(chr(0b1110101) + '\164' + '\x66' + chr(1698 - 1653) + chr(2684 - 2628)))(aLoH_Mt0dzwO, [nauYfLglTpcb[ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(0b100000 + 0o20), 8)], (vRVqPOZ1hUG7 + ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b101111 + 0o2), 8)) * nauYfLglTpcb[-ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(10933 - 10822) + chr(388 - 339), 8)]]))
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
single_discriminator
|
def single_discriminator(x, filters=128, kernel_size=8,
strides=4, pure_mean=False):
"""A simple single-layer convolutional discriminator."""
with tf.variable_scope("discriminator"):
net = layers().Conv2D(
filters, kernel_size, strides=strides, padding="SAME", name="conv1")(x)
if pure_mean:
net = tf.reduce_mean(net, [1, 2])
else:
net = mean_with_attention(net, "mean_with_attention")
return net
|
python
|
def single_discriminator(x, filters=128, kernel_size=8,
strides=4, pure_mean=False):
"""A simple single-layer convolutional discriminator."""
with tf.variable_scope("discriminator"):
net = layers().Conv2D(
filters, kernel_size, strides=strides, padding="SAME", name="conv1")(x)
if pure_mean:
net = tf.reduce_mean(net, [1, 2])
else:
net = mean_with_attention(net, "mean_with_attention")
return net
|
[
"def",
"single_discriminator",
"(",
"x",
",",
"filters",
"=",
"128",
",",
"kernel_size",
"=",
"8",
",",
"strides",
"=",
"4",
",",
"pure_mean",
"=",
"False",
")",
":",
"with",
"tf",
".",
"variable_scope",
"(",
"\"discriminator\"",
")",
":",
"net",
"=",
"layers",
"(",
")",
".",
"Conv2D",
"(",
"filters",
",",
"kernel_size",
",",
"strides",
"=",
"strides",
",",
"padding",
"=",
"\"SAME\"",
",",
"name",
"=",
"\"conv1\"",
")",
"(",
"x",
")",
"if",
"pure_mean",
":",
"net",
"=",
"tf",
".",
"reduce_mean",
"(",
"net",
",",
"[",
"1",
",",
"2",
"]",
")",
"else",
":",
"net",
"=",
"mean_with_attention",
"(",
"net",
",",
"\"mean_with_attention\"",
")",
"return",
"net"
] |
A simple single-layer convolutional discriminator.
|
[
"A",
"simple",
"single",
"-",
"layer",
"convolutional",
"discriminator",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L3727-L3737
|
train
|
A simple convolutional discriminator.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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) + '\065', 57122 - 57114), ehT0Px3KOsy9('\060' + '\x6f' + chr(1341 - 1292) + chr(0b101011 + 0o10) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 3634 - 3626), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\x30' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10011 + 0o37) + chr(0b1000 + 0o50), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\x35' + chr(580 - 532), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\x33' + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(1813 - 1758) + chr(0b10000 + 0o41), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b1101 + 0o45) + chr(0b110111) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + chr(50) + chr(53) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(873 - 825) + chr(0b1101111) + chr(54) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b110111) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(2144 - 2096) + chr(8092 - 7981) + chr(0b110011) + chr(0b110000) + '\062', 30950 - 30942), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1950 - 1900) + chr(0b10001 + 0o43) + chr(2094 - 2044), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101 + 0o56) + '\x30' + '\x30', 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1010101 + 0o32) + chr(1365 - 1314) + chr(0b11 + 0o56) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(852 - 804) + chr(0b1101111) + chr(0b10101 + 0o36) + '\x33' + chr(0b110101 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1190 - 1140) + chr(0b110010) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101100 + 0o5) + '\062' + chr(2050 - 1998), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b111010 + 0o65) + chr(0b110010) + '\066' + chr(450 - 396), 0o10), ehT0Px3KOsy9(chr(737 - 689) + '\x6f' + chr(0b10 + 0o61) + chr(146 - 91) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11111 + 0o22) + chr(109 - 54) + chr(0b110110), 62256 - 62248), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\x30' + chr(1837 - 1784), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1705 - 1655) + '\x32' + chr(0b100111 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(1330 - 1282) + '\157' + chr(49) + chr(0b110001) + chr(49), 0o10), ehT0Px3KOsy9(chr(965 - 917) + chr(11757 - 11646) + '\061' + '\x36' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2351 - 2301) + chr(0b110110) + chr(743 - 689), 8), ehT0Px3KOsy9(chr(48) + chr(794 - 683) + chr(247 - 198) + chr(0b110111) + chr(0b10010 + 0o40), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110011 + 0o74) + chr(49) + '\x36' + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\066' + chr(0b11111 + 0o21), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b1010 + 0o47) + chr(2306 - 2251), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b110000) + chr(1488 - 1437), ord("\x08")), ehT0Px3KOsy9(chr(1415 - 1367) + chr(0b1101110 + 0o1) + chr(50) + '\061' + chr(0b11011 + 0o27), 0o10), ehT0Px3KOsy9(chr(2274 - 2226) + chr(0b110110 + 0o71) + chr(0b110001) + chr(0b110110) + chr(53), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(675 - 621) + chr(0b11 + 0o61), 22169 - 22161), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1001010 + 0o45) + chr(0b110101 + 0o2) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1133 - 1085) + '\x6f' + chr(0b100111 + 0o14) + '\x34', 0o10), ehT0Px3KOsy9(chr(1667 - 1619) + chr(11705 - 11594) + '\063' + chr(49) + '\x33', 41796 - 41788), ehT0Px3KOsy9(chr(2028 - 1980) + '\157' + chr(51) + chr(0b1100 + 0o50) + chr(800 - 752), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\x35' + '\x35', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(0b111 + 0o56) + chr(48), 50521 - 50513)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'+'), chr(100) + chr(7428 - 7327) + chr(1235 - 1136) + chr(0b1101111) + chr(0b1100100) + chr(199 - 98))('\165' + chr(116) + chr(0b1100110) + chr(1143 - 1098) + chr(1729 - 1673)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def QQzUbPsQJhtJ(OeWW0F1dBPRQ, MErh319F3bgE=ehT0Px3KOsy9(chr(222 - 174) + chr(0b1101111) + chr(0b1110 + 0o44) + chr(0b1111 + 0o41) + '\060', 0b1000), m6gwVXy4D3Au=ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(0b110001) + chr(0b110000), 0o10), r8knJmMTTKwv=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34', 0b1000), ydFZgyFFwVlr=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1142 - 1094), 0b1000)):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b's<s\xa9q\x8a\xb6\x9c\xe0\xd9R\x95\xb2\xc7'), '\144' + chr(0b1100101) + chr(0b11000 + 0o113) + chr(111) + '\144' + chr(7968 - 7867))('\x75' + '\x74' + '\x66' + chr(0b1101 + 0o40) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'a4r\xa3b\x81\xb7\x90\xd1\xcbE\x95\xb0'), '\144' + '\145' + chr(99) + chr(111) + chr(0b1100100) + chr(0b111010 + 0o53))('\165' + '\x74' + chr(0b101010 + 0o74) + chr(0b10010 + 0o33) + chr(1862 - 1806))):
DyzboKL9cczb = sGi5Aql23May().Conv2D(MErh319F3bgE, m6gwVXy4D3Au, strides=r8knJmMTTKwv, padding=xafqLlk3kkUe(SXOLrMavuUCe(b'V\x1cL\x85'), chr(5581 - 5481) + chr(0b1100101) + chr(0b1100011) + chr(0b111111 + 0o60) + '\x64' + chr(5526 - 5425))('\165' + chr(116) + '\146' + chr(0b101101) + chr(56)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'f2o\xb6!'), chr(0b1011010 + 0o12) + chr(3247 - 3146) + chr(2473 - 2374) + chr(111) + '\x64' + chr(101))(chr(12002 - 11885) + chr(116) + '\146' + '\x2d' + '\x38'))(OeWW0F1dBPRQ)
if ydFZgyFFwVlr:
DyzboKL9cczb = IDJ2eXGCBCDu.reduce_mean(DyzboKL9cczb, [ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b101001 + 0o10), 8), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1001010 + 0o45) + chr(309 - 259), 32524 - 32516)])
else:
DyzboKL9cczb = XFv1x1Zquijl(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'h8`\xaeO\x9f\xb3\x8d\xd7\xf5P\x8e\xb6\xc7\xae\xbb\xb4\xfb:'), chr(0b10101 + 0o117) + chr(6516 - 6415) + '\143' + '\157' + chr(0b1011000 + 0o14) + '\x65')('\165' + chr(116) + chr(102) + '\x2d' + chr(2127 - 2071)))
return DyzboKL9cczb
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
double_discriminator
|
def double_discriminator(x, filters1=128, filters2=None,
kernel_size=8, strides=4, pure_mean=False):
"""A convolutional discriminator with 2 layers and concatenated output."""
if filters2 is None:
filters2 = 4 * filters1
with tf.variable_scope("discriminator"):
batch_size = shape_list(x)[0]
net = layers().Conv2D(
filters1, kernel_size, strides=strides, padding="SAME", name="conv1")(x)
if pure_mean:
net1 = tf.reduce_mean(net, [1, 2])
else:
net1 = mean_with_attention(net, "mean_with_attention1")
tf.reshape(net, [batch_size, -1])
net = tf.nn.relu(net)
net = layers().Conv2D(
filters2, kernel_size, strides=strides, padding="SAME", name="conv2")(x)
if pure_mean:
net2 = tf.reduce_mean(net, [1, 2])
else:
net2 = mean_with_attention(net, "mean_with_attention2")
return tf.concat([net1, net2], axis=-1)
|
python
|
def double_discriminator(x, filters1=128, filters2=None,
kernel_size=8, strides=4, pure_mean=False):
"""A convolutional discriminator with 2 layers and concatenated output."""
if filters2 is None:
filters2 = 4 * filters1
with tf.variable_scope("discriminator"):
batch_size = shape_list(x)[0]
net = layers().Conv2D(
filters1, kernel_size, strides=strides, padding="SAME", name="conv1")(x)
if pure_mean:
net1 = tf.reduce_mean(net, [1, 2])
else:
net1 = mean_with_attention(net, "mean_with_attention1")
tf.reshape(net, [batch_size, -1])
net = tf.nn.relu(net)
net = layers().Conv2D(
filters2, kernel_size, strides=strides, padding="SAME", name="conv2")(x)
if pure_mean:
net2 = tf.reduce_mean(net, [1, 2])
else:
net2 = mean_with_attention(net, "mean_with_attention2")
return tf.concat([net1, net2], axis=-1)
|
[
"def",
"double_discriminator",
"(",
"x",
",",
"filters1",
"=",
"128",
",",
"filters2",
"=",
"None",
",",
"kernel_size",
"=",
"8",
",",
"strides",
"=",
"4",
",",
"pure_mean",
"=",
"False",
")",
":",
"if",
"filters2",
"is",
"None",
":",
"filters2",
"=",
"4",
"*",
"filters1",
"with",
"tf",
".",
"variable_scope",
"(",
"\"discriminator\"",
")",
":",
"batch_size",
"=",
"shape_list",
"(",
"x",
")",
"[",
"0",
"]",
"net",
"=",
"layers",
"(",
")",
".",
"Conv2D",
"(",
"filters1",
",",
"kernel_size",
",",
"strides",
"=",
"strides",
",",
"padding",
"=",
"\"SAME\"",
",",
"name",
"=",
"\"conv1\"",
")",
"(",
"x",
")",
"if",
"pure_mean",
":",
"net1",
"=",
"tf",
".",
"reduce_mean",
"(",
"net",
",",
"[",
"1",
",",
"2",
"]",
")",
"else",
":",
"net1",
"=",
"mean_with_attention",
"(",
"net",
",",
"\"mean_with_attention1\"",
")",
"tf",
".",
"reshape",
"(",
"net",
",",
"[",
"batch_size",
",",
"-",
"1",
"]",
")",
"net",
"=",
"tf",
".",
"nn",
".",
"relu",
"(",
"net",
")",
"net",
"=",
"layers",
"(",
")",
".",
"Conv2D",
"(",
"filters2",
",",
"kernel_size",
",",
"strides",
"=",
"strides",
",",
"padding",
"=",
"\"SAME\"",
",",
"name",
"=",
"\"conv2\"",
")",
"(",
"x",
")",
"if",
"pure_mean",
":",
"net2",
"=",
"tf",
".",
"reduce_mean",
"(",
"net",
",",
"[",
"1",
",",
"2",
"]",
")",
"else",
":",
"net2",
"=",
"mean_with_attention",
"(",
"net",
",",
"\"mean_with_attention2\"",
")",
"return",
"tf",
".",
"concat",
"(",
"[",
"net1",
",",
"net2",
"]",
",",
"axis",
"=",
"-",
"1",
")"
] |
A convolutional discriminator with 2 layers and concatenated output.
|
[
"A",
"convolutional",
"discriminator",
"with",
"2",
"layers",
"and",
"concatenated",
"output",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L3740-L3761
|
train
|
A convolutional discriminator with 2 layers and concatenated output.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(1961 - 1911) + chr(0b110000) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(8898 - 8787) + '\x31' + chr(1369 - 1320) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2679 - 2568) + '\062' + chr(0b100 + 0o61), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5576 - 5465) + chr(0b110001) + chr(700 - 646) + chr(0b1110 + 0o43), 20589 - 20581), ehT0Px3KOsy9(chr(0b110000) + chr(151 - 40) + '\x34' + chr(0b11110 + 0o31), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b100000 + 0o117) + '\063' + chr(942 - 889) + chr(1599 - 1545), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b11 + 0o154) + chr(0b110010) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(530 - 482) + '\x6f' + chr(0b11010 + 0o27) + chr(51) + chr(2839 - 2785), 58206 - 58198), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1100 + 0o47) + chr(0b110111) + chr(840 - 789), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1011100 + 0o23) + chr(0b100111 + 0o13) + chr(0b11110 + 0o31) + '\065', 40294 - 40286), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b100010 + 0o115) + chr(0b110001) + '\x32' + chr(200 - 152), 49334 - 49326), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(2089 - 2040) + chr(0b110011), 52099 - 52091), ehT0Px3KOsy9(chr(1674 - 1626) + chr(0b1101111) + '\x32' + chr(0b110110) + '\x31', 0o10), ehT0Px3KOsy9(chr(1315 - 1267) + '\157' + chr(1616 - 1565) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100110 + 0o14) + '\x31' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10058 - 9947) + '\x31' + chr(0b110000) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1650 - 1602) + chr(111) + chr(0b110001) + chr(0b100101 + 0o14) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + chr(49) + chr(0b110101) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(0b111 + 0o54) + chr(171 - 122) + chr(1105 - 1052), 0b1000), ehT0Px3KOsy9(chr(1477 - 1429) + '\x6f' + '\067' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(0b11101 + 0o30) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(5084 - 4973) + '\x36' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\x31' + chr(53) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(2488 - 2377) + '\062' + chr(0b110000) + '\x35', 44177 - 44169), ehT0Px3KOsy9(chr(0b110000) + chr(0b110110 + 0o71) + chr(589 - 539) + '\061' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2319 - 2208) + chr(52) + chr(1569 - 1521), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10 + 0o57) + chr(52) + '\061', 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(8518 - 8407) + '\061' + chr(51) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + chr(0b110010) + '\x36' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b100110 + 0o15) + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(53) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + chr(0b101000 + 0o13) + chr(1062 - 1012) + chr(71 - 16), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1226 - 1177) + '\x32' + '\x31', 52432 - 52424), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + chr(228 - 177) + '\x33' + '\x33', 41013 - 41005), ehT0Px3KOsy9('\x30' + chr(4224 - 4113) + '\063' + chr(54) + chr(782 - 731), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b101001 + 0o10) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\065' + chr(0b100101 + 0o21), 19498 - 19490), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\x33' + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101100 + 0o3) + '\063' + '\063', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(682 - 629) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xac'), chr(100) + chr(101) + chr(0b100010 + 0o101) + chr(7576 - 7465) + chr(100) + chr(6304 - 6203))(chr(0b1001101 + 0o50) + chr(0b1110100) + chr(102) + chr(970 - 925) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Rg6BGclov3q9(OeWW0F1dBPRQ, I5w6L6zhkskH=ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b1010 + 0o46) + chr(0b11010 + 0o26), 0o10), _UEVl_zeBaEW=None, m6gwVXy4D3Au=ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\x30', 9226 - 9218), r8knJmMTTKwv=ehT0Px3KOsy9('\x30' + chr(946 - 835) + '\064', 33944 - 33936), ydFZgyFFwVlr=ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(600 - 552), 0b1000)):
if _UEVl_zeBaEW is None:
_UEVl_zeBaEW = ehT0Px3KOsy9('\x30' + '\x6f' + '\x34', 8) * I5w6L6zhkskH
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4+g\x18F\x8c~;\xa4\xce3\xa4\xc1}'), chr(0b1011000 + 0o14) + chr(101) + chr(0b1100011) + chr(0b10110 + 0o131) + chr(0b111101 + 0o47) + '\145')(chr(7084 - 6967) + chr(1095 - 979) + chr(102) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6#f\x12U\x87\x7f7\x95\xdc$\xa4\xc3'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(0b101 + 0o140))(chr(10602 - 10485) + '\164' + '\x66' + '\055' + chr(56))):
ix9dZyeAmUxY = qypPRW8fq869(OeWW0F1dBPRQ)[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 8)]
DyzboKL9cczb = sGi5Aql23May().Conv2D(I5w6L6zhkskH, m6gwVXy4D3Au, strides=r8knJmMTTKwv, padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x0bX4'), '\144' + chr(8953 - 8852) + chr(7475 - 7376) + chr(2955 - 2844) + chr(0b1100100) + '\145')(chr(117) + chr(0b1000000 + 0o64) + chr(0b1010101 + 0o21) + chr(45) + chr(0b111 + 0o61)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1%{\x07\x16'), '\144' + '\145' + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b1000001 + 0o44))(chr(0b1110101 + 0o0) + '\164' + chr(102) + chr(0b100010 + 0o13) + chr(56)))(OeWW0F1dBPRQ)
if ydFZgyFFwVlr:
YvEOfjNs6Pu7 = IDJ2eXGCBCDu.reduce_mean(DyzboKL9cczb, [ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062', 0b1000)])
else:
YvEOfjNs6Pu7 = XFv1x1Zquijl(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef/t\x1fx\x99{*\x93\xe21\xbf\xc5}\xe63!\x05\xa3\x0c'), '\144' + chr(0b1100101) + chr(5275 - 5176) + chr(8024 - 7913) + chr(0b101100 + 0o70) + chr(101))(chr(0b110 + 0o157) + chr(7606 - 7490) + chr(0b101111 + 0o67) + chr(1963 - 1918) + '\070'))
xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0/f\x19F\x9ew'), chr(100) + chr(9360 - 9259) + chr(4613 - 4514) + '\157' + '\x64' + '\145')(chr(0b1110101) + chr(13314 - 13198) + chr(8252 - 8150) + '\055' + '\x38'))(DyzboKL9cczb, [ix9dZyeAmUxY, -ehT0Px3KOsy9(chr(0b110000) + chr(11336 - 11225) + chr(0b110001), 8)])
DyzboKL9cczb = IDJ2eXGCBCDu.nn.relu(DyzboKL9cczb)
DyzboKL9cczb = sGi5Aql23May().Conv2D(_UEVl_zeBaEW, m6gwVXy4D3Au, strides=r8knJmMTTKwv, padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x0bX4'), chr(100) + chr(0b1010011 + 0o22) + '\143' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1000110 + 0o56) + chr(102) + '\x2d' + chr(56)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1%{\x07\x15'), chr(8557 - 8457) + chr(6015 - 5914) + chr(2278 - 2179) + '\x6f' + chr(0b1100100) + chr(6798 - 6697))(chr(117) + '\x74' + chr(0b1100010 + 0o4) + '\055' + chr(56)))(OeWW0F1dBPRQ)
if ydFZgyFFwVlr:
rNjX_P8gmRYC = IDJ2eXGCBCDu.reduce_mean(DyzboKL9cczb, [ehT0Px3KOsy9(chr(0b110000) + chr(0b1000010 + 0o55) + chr(0b1101 + 0o44), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32', 8)])
else:
rNjX_P8gmRYC = XFv1x1Zquijl(DyzboKL9cczb, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef/t\x1fx\x99{*\x93\xe21\xbf\xc5}\xe63!\x05\xa3\x0f'), '\144' + '\145' + '\x63' + chr(6983 - 6872) + '\144' + '\145')(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b101101) + '\070'))
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1%{\x12F\x9a'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(7999 - 7888) + chr(0b1100100) + '\145')(chr(0b1100100 + 0o21) + chr(5248 - 5132) + chr(102) + chr(0b101101) + chr(0b111000)))([YvEOfjNs6Pu7, rNjX_P8gmRYC], axis=-ehT0Px3KOsy9('\060' + chr(0b1001010 + 0o45) + chr(0b110001), 8))
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
upscale
|
def upscale(inputs, f, method=tf.image.ResizeMethod.NEAREST_NEIGHBOR):
"""Upscaling the image by a factor of f."""
height, width = shape_list(inputs)[1:3] # pylint: disable=unbalanced-tuple-unpacking
return tf.image.resize_images(inputs, (height * f, width * f), method)
|
python
|
def upscale(inputs, f, method=tf.image.ResizeMethod.NEAREST_NEIGHBOR):
"""Upscaling the image by a factor of f."""
height, width = shape_list(inputs)[1:3] # pylint: disable=unbalanced-tuple-unpacking
return tf.image.resize_images(inputs, (height * f, width * f), method)
|
[
"def",
"upscale",
"(",
"inputs",
",",
"f",
",",
"method",
"=",
"tf",
".",
"image",
".",
"ResizeMethod",
".",
"NEAREST_NEIGHBOR",
")",
":",
"height",
",",
"width",
"=",
"shape_list",
"(",
"inputs",
")",
"[",
"1",
":",
"3",
"]",
"# pylint: disable=unbalanced-tuple-unpacking",
"return",
"tf",
".",
"image",
".",
"resize_images",
"(",
"inputs",
",",
"(",
"height",
"*",
"f",
",",
"width",
"*",
"f",
")",
",",
"method",
")"
] |
Upscaling the image by a factor of f.
|
[
"Upscaling",
"the",
"image",
"by",
"a",
"factor",
"of",
"f",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L3764-L3767
|
train
|
Upscaling the image by a factor of 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(0b110000) + '\157' + chr(0b1111 + 0o44) + chr(0b110110) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + chr(55), 51288 - 51280), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110000) + '\x31', 30405 - 30397), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b11011 + 0o124) + chr(0b110100) + chr(0b11101 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\067' + chr(50), 34382 - 34374), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\066' + chr(0b10101 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1296 - 1185) + chr(50) + chr(0b1100 + 0o46) + '\060', 30428 - 30420), ehT0Px3KOsy9('\x30' + chr(11506 - 11395) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(12034 - 11923) + chr(49) + '\x30' + chr(49), 8), ehT0Px3KOsy9('\060' + chr(7989 - 7878) + '\061' + chr(2285 - 2237) + chr(49), 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + '\x32' + '\x30' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(53) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + chr(0b1001 + 0o50) + chr(53) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(2174 - 2063) + chr(50) + chr(0b110011) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(912 - 864) + chr(0b101111 + 0o100) + '\x34' + chr(48), 18960 - 18952), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b101100 + 0o7) + chr(0b110000), 7883 - 7875), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b110010) + chr(0b110011 + 0o4), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110100) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2714 - 2661) + chr(0b10000 + 0o42), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + chr(0b110010) + '\061' + '\060', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(50) + chr(0b110110) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(1707 - 1596) + '\061' + chr(1742 - 1687), 0b1000), ehT0Px3KOsy9(chr(261 - 213) + chr(111) + chr(2046 - 1997) + chr(535 - 482) + chr(0b110000 + 0o5), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10100 + 0o36) + chr(0b110000) + chr(51), 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b10111 + 0o130) + '\x33' + chr(0b110001), 3722 - 3714), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b110100) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(1486 - 1438) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(585 - 533) + '\066', 12672 - 12664), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10000 + 0o42) + chr(0b110100) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\061' + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b101 + 0o60) + chr(0b100011 + 0o21), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\064' + chr(994 - 944), 8), ehT0Px3KOsy9('\x30' + chr(203 - 92) + chr(0b110001) + chr(0b110010) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(909 - 858) + chr(0b1101 + 0o45) + chr(2062 - 2014), 62413 - 62405), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\067' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001 + 0o146) + chr(0b11100 + 0o25) + chr(54) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(49) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(2177 - 2122) + chr(1640 - 1591), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\061' + chr(0b110010), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1100111 + 0o10) + '\x35' + chr(0b1001 + 0o47), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc'), '\144' + chr(0b101001 + 0o74) + chr(0b1000011 + 0o40) + chr(10337 - 10226) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(855 - 753) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RSLgEcQZ_UDG(vXoupepMtCXU, EGyt1xfPT1P6, CVRCXTcnOnH6=xafqLlk3kkUe(IDJ2eXGCBCDu.image.ResizeMethod, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbcb\x00s\xff`\xc4]\x0f\x04\xca\xac"\xdco\x8a'), '\x64' + '\x65' + chr(0b1101 + 0o126) + '\157' + chr(4354 - 4254) + chr(0b11010 + 0o113))(chr(0b1110101) + chr(0b1110100) + chr(0b1011 + 0o133) + chr(0b11111 + 0o16) + chr(0b1111 + 0o51)))):
(ehbUULKuygfC, mPx09rBTrGXR) = qypPRW8fq869(vXoupepMtCXU)[ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 0b1000):ehT0Px3KOsy9('\060' + chr(0b101001 + 0o106) + '\063', 0o10)]
return xafqLlk3kkUe(IDJ2eXGCBCDu.image, xafqLlk3kkUe(SXOLrMavuUCe(b'\x80B2H\xc0V\xcfk, \xe4\x8e\x19'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(111) + chr(0b1100100) + '\145')(chr(12952 - 12835) + chr(116) + chr(0b1100110) + chr(0b100100 + 0o11) + chr(1493 - 1437)))(vXoupepMtCXU, (ehbUULKuygfC * EGyt1xfPT1P6, mPx09rBTrGXR * EGyt1xfPT1P6), CVRCXTcnOnH6)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
cyclegan_upsample
|
def cyclegan_upsample(net, num_outputs, stride, method="conv2d_transpose"):
"""Upsamples the given inputs.
Args:
net: A Tensor of size [batch_size, height, width, filters].
num_outputs: The number of output filters.
stride: A list of 2 scalars or a 1x2 Tensor indicating the scale,
relative to the inputs, of the output dimensions. For example, if kernel
size is [2, 3], then the output height and width will be twice and three
times the input size.
method: The upsampling method: 'nn_upsample_conv',
'bilinear_upsample_conv', or 'conv2d_transpose'.
Returns:
A Tensor which was upsampled using the specified method.
Raises:
ValueError: if `method` is not recognized.
"""
with tf.variable_scope("upconv"):
net_shape = tf.shape(net)
height = net_shape[1]
width = net_shape[2]
# Reflection pad by 1 in spatial dimensions (axes 1, 2 = h, w) to make a
# 3x3 "valid" convolution produce an output with the same dimension as the
# input.
spatial_pad_1 = np.array([[0, 0], [1, 1], [1, 1], [0, 0]])
if method == "nn_upsample_conv":
net = tf.image.resize_nearest_neighbor(
net, [stride[0] * height, stride[1] * width])
net = tf.pad(net, spatial_pad_1, "REFLECT")
net = layers().Conv2D(
num_outputs, (3, 3), activation=tf.nn.relu)(net)
elif method == "bilinear_upsample_conv":
net = tf.image.resize_bilinear(net,
[stride[0] * height, stride[1] * width])
net = tf.pad(net, spatial_pad_1, "REFLECT")
net = layers().Conv2D(
num_outputs, (3, 3), activation=tf.nn.relu)(net)
elif method == "conv2d_transpose":
# This corrects 1 pixel offset for images with even width and height.
# conv2d is left aligned and conv2d_transpose is right aligned for even
# sized images (while doing "SAME" padding).
# Note: This doesn"t reflect actual model in paper.
net = layers().Conv2DTranspose(
num_outputs, (3, 3), strides=stride, activation=tf.nn.relu)(net)
net = net[:, 1:, 1:, :]
else:
raise ValueError("Unknown method: [%s]" % method)
return net
|
python
|
def cyclegan_upsample(net, num_outputs, stride, method="conv2d_transpose"):
"""Upsamples the given inputs.
Args:
net: A Tensor of size [batch_size, height, width, filters].
num_outputs: The number of output filters.
stride: A list of 2 scalars or a 1x2 Tensor indicating the scale,
relative to the inputs, of the output dimensions. For example, if kernel
size is [2, 3], then the output height and width will be twice and three
times the input size.
method: The upsampling method: 'nn_upsample_conv',
'bilinear_upsample_conv', or 'conv2d_transpose'.
Returns:
A Tensor which was upsampled using the specified method.
Raises:
ValueError: if `method` is not recognized.
"""
with tf.variable_scope("upconv"):
net_shape = tf.shape(net)
height = net_shape[1]
width = net_shape[2]
# Reflection pad by 1 in spatial dimensions (axes 1, 2 = h, w) to make a
# 3x3 "valid" convolution produce an output with the same dimension as the
# input.
spatial_pad_1 = np.array([[0, 0], [1, 1], [1, 1], [0, 0]])
if method == "nn_upsample_conv":
net = tf.image.resize_nearest_neighbor(
net, [stride[0] * height, stride[1] * width])
net = tf.pad(net, spatial_pad_1, "REFLECT")
net = layers().Conv2D(
num_outputs, (3, 3), activation=tf.nn.relu)(net)
elif method == "bilinear_upsample_conv":
net = tf.image.resize_bilinear(net,
[stride[0] * height, stride[1] * width])
net = tf.pad(net, spatial_pad_1, "REFLECT")
net = layers().Conv2D(
num_outputs, (3, 3), activation=tf.nn.relu)(net)
elif method == "conv2d_transpose":
# This corrects 1 pixel offset for images with even width and height.
# conv2d is left aligned and conv2d_transpose is right aligned for even
# sized images (while doing "SAME" padding).
# Note: This doesn"t reflect actual model in paper.
net = layers().Conv2DTranspose(
num_outputs, (3, 3), strides=stride, activation=tf.nn.relu)(net)
net = net[:, 1:, 1:, :]
else:
raise ValueError("Unknown method: [%s]" % method)
return net
|
[
"def",
"cyclegan_upsample",
"(",
"net",
",",
"num_outputs",
",",
"stride",
",",
"method",
"=",
"\"conv2d_transpose\"",
")",
":",
"with",
"tf",
".",
"variable_scope",
"(",
"\"upconv\"",
")",
":",
"net_shape",
"=",
"tf",
".",
"shape",
"(",
"net",
")",
"height",
"=",
"net_shape",
"[",
"1",
"]",
"width",
"=",
"net_shape",
"[",
"2",
"]",
"# Reflection pad by 1 in spatial dimensions (axes 1, 2 = h, w) to make a",
"# 3x3 \"valid\" convolution produce an output with the same dimension as the",
"# input.",
"spatial_pad_1",
"=",
"np",
".",
"array",
"(",
"[",
"[",
"0",
",",
"0",
"]",
",",
"[",
"1",
",",
"1",
"]",
",",
"[",
"1",
",",
"1",
"]",
",",
"[",
"0",
",",
"0",
"]",
"]",
")",
"if",
"method",
"==",
"\"nn_upsample_conv\"",
":",
"net",
"=",
"tf",
".",
"image",
".",
"resize_nearest_neighbor",
"(",
"net",
",",
"[",
"stride",
"[",
"0",
"]",
"*",
"height",
",",
"stride",
"[",
"1",
"]",
"*",
"width",
"]",
")",
"net",
"=",
"tf",
".",
"pad",
"(",
"net",
",",
"spatial_pad_1",
",",
"\"REFLECT\"",
")",
"net",
"=",
"layers",
"(",
")",
".",
"Conv2D",
"(",
"num_outputs",
",",
"(",
"3",
",",
"3",
")",
",",
"activation",
"=",
"tf",
".",
"nn",
".",
"relu",
")",
"(",
"net",
")",
"elif",
"method",
"==",
"\"bilinear_upsample_conv\"",
":",
"net",
"=",
"tf",
".",
"image",
".",
"resize_bilinear",
"(",
"net",
",",
"[",
"stride",
"[",
"0",
"]",
"*",
"height",
",",
"stride",
"[",
"1",
"]",
"*",
"width",
"]",
")",
"net",
"=",
"tf",
".",
"pad",
"(",
"net",
",",
"spatial_pad_1",
",",
"\"REFLECT\"",
")",
"net",
"=",
"layers",
"(",
")",
".",
"Conv2D",
"(",
"num_outputs",
",",
"(",
"3",
",",
"3",
")",
",",
"activation",
"=",
"tf",
".",
"nn",
".",
"relu",
")",
"(",
"net",
")",
"elif",
"method",
"==",
"\"conv2d_transpose\"",
":",
"# This corrects 1 pixel offset for images with even width and height.",
"# conv2d is left aligned and conv2d_transpose is right aligned for even",
"# sized images (while doing \"SAME\" padding).",
"# Note: This doesn\"t reflect actual model in paper.",
"net",
"=",
"layers",
"(",
")",
".",
"Conv2DTranspose",
"(",
"num_outputs",
",",
"(",
"3",
",",
"3",
")",
",",
"strides",
"=",
"stride",
",",
"activation",
"=",
"tf",
".",
"nn",
".",
"relu",
")",
"(",
"net",
")",
"net",
"=",
"net",
"[",
":",
",",
"1",
":",
",",
"1",
":",
",",
":",
"]",
"else",
":",
"raise",
"ValueError",
"(",
"\"Unknown method: [%s]\"",
"%",
"method",
")",
"return",
"net"
] |
Upsamples the given inputs.
Args:
net: A Tensor of size [batch_size, height, width, filters].
num_outputs: The number of output filters.
stride: A list of 2 scalars or a 1x2 Tensor indicating the scale,
relative to the inputs, of the output dimensions. For example, if kernel
size is [2, 3], then the output height and width will be twice and three
times the input size.
method: The upsampling method: 'nn_upsample_conv',
'bilinear_upsample_conv', or 'conv2d_transpose'.
Returns:
A Tensor which was upsampled using the specified method.
Raises:
ValueError: if `method` is not recognized.
|
[
"Upsamples",
"the",
"given",
"inputs",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L3788-L3841
|
train
|
Upsamples the given inputs using the cyclegan convolution.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b10011 + 0o37) + '\x32' + '\063', 38243 - 38235), ehT0Px3KOsy9(chr(48) + chr(111) + '\067' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(293 - 245) + '\157' + '\x32' + chr(0b100011 + 0o22) + chr(1934 - 1885), 4238 - 4230), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(52) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\061' + '\x37' + chr(0b110001 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + '\066' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(811 - 756) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b101010 + 0o13) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b11001 + 0o35) + chr(0b110 + 0o60), 64052 - 64044), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + '\061' + chr(1518 - 1463) + chr(0b101101 + 0o7), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(12157 - 12046) + '\061' + '\066' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b1011 + 0o51) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111110 + 0o61) + '\x31' + chr(0b110100) + chr(0b10101 + 0o34), 42992 - 42984), ehT0Px3KOsy9(chr(604 - 556) + chr(0b1101111) + '\x31' + '\x34' + chr(0b101111 + 0o7), 36318 - 36310), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\067' + '\x33', 9737 - 9729), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(0b110010) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1797 - 1749) + chr(111) + chr(2320 - 2268), 0o10), ehT0Px3KOsy9('\060' + chr(4200 - 4089) + '\061' + chr(1512 - 1462) + chr(1028 - 973), 0o10), ehT0Px3KOsy9(chr(194 - 146) + chr(0b1101011 + 0o4) + chr(0b110011) + chr(0b110110) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(9601 - 9490) + '\x32' + chr(0b110 + 0o53) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b101101 + 0o3) + chr(0b1 + 0o61), 0o10), ehT0Px3KOsy9(chr(869 - 821) + chr(6667 - 6556) + chr(51) + chr(385 - 335) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011100 + 0o23) + chr(1043 - 992) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(949 - 901) + chr(0b1101110 + 0o1) + '\x31' + chr(893 - 842) + chr(0b1011 + 0o52), 0b1000), ehT0Px3KOsy9('\060' + chr(5013 - 4902) + '\x33' + chr(51) + chr(0b101110 + 0o6), 0o10), ehT0Px3KOsy9(chr(48) + chr(8083 - 7972) + '\063' + chr(51) + chr(55), 42315 - 42307), ehT0Px3KOsy9(chr(0b110000) + chr(6236 - 6125) + '\063' + chr(0b110110) + chr(0b110001 + 0o0), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + chr(0b11000 + 0o35) + chr(0b1110 + 0o43), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1001 + 0o52) + chr(515 - 462) + chr(0b10111 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(8113 - 8002) + chr(50) + chr(2375 - 2325) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1001100 + 0o43) + chr(0b110011) + chr(0b110101) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b100010 + 0o21) + chr(0b11 + 0o60), 18200 - 18192), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1110 + 0o44) + '\x35' + chr(1427 - 1378), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100010 + 0o21) + '\x34' + chr(929 - 879), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(8875 - 8764) + chr(0b110011) + '\063' + chr(0b110100), 8), ehT0Px3KOsy9(chr(495 - 447) + chr(0b1101111) + chr(50) + '\x36' + chr(0b110011), 40128 - 40120), ehT0Px3KOsy9('\x30' + chr(5435 - 5324) + '\x32' + '\065' + '\066', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b100101 + 0o16), 0o10), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + '\x34', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\066' + chr(0b1000 + 0o55), 28985 - 28977)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(0b110101) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd'), chr(0b1100100) + chr(1611 - 1510) + chr(0b1100011) + '\157' + '\144' + '\x65')('\x75' + chr(10253 - 10137) + chr(0b1011001 + 0o15) + chr(706 - 661) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kcSMMiwslEH8(DyzboKL9cczb, YzOh4ZueGp_Q, VKQ5wcD30goF, CVRCXTcnOnH6=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0S\xc7VIU \x9a\xc4\x1d\x1d\x17\x11\t\xc8r'), chr(0b1001011 + 0o31) + chr(0b1100101) + chr(0b101101 + 0o66) + chr(111) + '\x64' + '\x65')('\x75' + chr(116) + '\146' + '\x2d' + chr(0b111000))):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5]\xdbI\x1aS\x13\x8b\xe9\x0f\x10\x0b\x11\x03'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\x6f' + chr(0b10000 + 0o124) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6L\xcaO\x15G'), '\144' + chr(0b10 + 0o143) + chr(6041 - 5942) + chr(0b1010101 + 0o32) + chr(0b10100 + 0o120) + '\x65')(chr(1732 - 1615) + chr(116) + chr(0b110 + 0o140) + '\x2d' + chr(654 - 598))):
K2AFTOrTi7PX = IDJ2eXGCBCDu.nauYfLglTpcb(DyzboKL9cczb)
ehbUULKuygfC = K2AFTOrTi7PX[ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001), 26099 - 26091)]
mPx09rBTrGXR = K2AFTOrTi7PX[ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(0b100010 + 0o20), 0o10)]
SfwfhGLmP7sW = WqUC3KWvYVup.B0ePDhpqxN5n([[ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(6022 - 5911) + chr(0b110000), 53711 - 53703), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1111 + 0o41), 8)], [ehT0Px3KOsy9('\060' + '\157' + chr(0b100111 + 0o12), 8), ehT0Px3KOsy9(chr(48) + chr(2002 - 1891) + '\x31', 8)], [ehT0Px3KOsy9(chr(1199 - 1151) + '\x6f' + chr(49), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 8)], [ehT0Px3KOsy9('\x30' + '\157' + '\x30', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b0 + 0o60), 8)]])
if CVRCXTcnOnH6 == xafqLlk3kkUe(SXOLrMavuUCe(b'\xfdR\xf6U\x0bB\x1e\x83\xc6\x10\x16;\x02\t\xd5a'), chr(0b1100100) + chr(0b1000100 + 0o41) + chr(0b1100000 + 0o3) + '\x6f' + '\x64' + chr(101))('\x75' + chr(11329 - 11213) + chr(0b1100110) + '\055' + chr(0b111000)):
DyzboKL9cczb = IDJ2eXGCBCDu.image.resize_nearest_neighbor(DyzboKL9cczb, [VKQ5wcD30goF[ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(5891 - 5780) + chr(0b110000), 8)] * ehbUULKuygfC, VKQ5wcD30goF[ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1010010 + 0o35) + chr(1077 - 1028), 8)] * mPx09rBTrGXR])
DyzboKL9cczb = IDJ2eXGCBCDu.pad(DyzboKL9cczb, SfwfhGLmP7sW, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1y\xefl>r+'), chr(9009 - 8909) + '\145' + chr(99) + '\x6f' + chr(0b100010 + 0o102) + chr(0b10111 + 0o116))(chr(882 - 765) + chr(0b1010011 + 0o41) + '\146' + chr(533 - 488) + '\x38'))
DyzboKL9cczb = sGi5Aql23May().Conv2D(YzOh4ZueGp_Q, (ehT0Px3KOsy9(chr(936 - 888) + chr(111) + chr(0b110011), 22175 - 22167), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51), 8)), activation=IDJ2eXGCBCDu.nn.relu)(DyzboKL9cczb)
elif CVRCXTcnOnH6 == xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1U\xc5I\x15T\x1e\x9c\xe9\t\x03\x17\x00\x0b\xcb{a\x08\x91\xe0,\xa2'), '\144' + chr(0b1010000 + 0o25) + chr(99) + chr(0b1010001 + 0o36) + chr(0b111001 + 0o53) + chr(2946 - 2845))('\165' + chr(0b1100000 + 0o24) + '\x66' + '\x2d' + chr(0b1101 + 0o53)):
DyzboKL9cczb = IDJ2eXGCBCDu.image.resize_bilinear(DyzboKL9cczb, [VKQ5wcD30goF[ehT0Px3KOsy9('\060' + '\x6f' + chr(2214 - 2166), 8)] * ehbUULKuygfC, VKQ5wcD30goF[ehT0Px3KOsy9(chr(1398 - 1350) + chr(0b1101111) + chr(0b110001), 8)] * mPx09rBTrGXR])
DyzboKL9cczb = IDJ2eXGCBCDu.pad(DyzboKL9cczb, SfwfhGLmP7sW, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1y\xefl>r+'), chr(0b111 + 0o135) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1100101))('\x75' + chr(116) + chr(0b1100110) + '\x2d' + chr(0b11101 + 0o33)))
DyzboKL9cczb = sGi5Aql23May().Conv2D(YzOh4ZueGp_Q, (ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b110011), 8), ehT0Px3KOsy9(chr(1853 - 1805) + '\x6f' + chr(0b110011), 8)), activation=IDJ2eXGCBCDu.nn.relu)(DyzboKL9cczb)
elif CVRCXTcnOnH6 == xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0S\xc7VIU \x9a\xc4\x1d\x1d\x17\x11\t\xc8r'), chr(0b1100100) + chr(8686 - 8585) + chr(3307 - 3208) + '\x6f' + chr(100) + chr(0b100010 + 0o103))('\x75' + chr(0b1000010 + 0o62) + '\x66' + chr(0b101100 + 0o1) + '\070'):
DyzboKL9cczb = sGi5Aql23May().Conv2DTranspose(YzOh4ZueGp_Q, (ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(10750 - 10639) + '\x33', 8)), strides=VKQ5wcD30goF, activation=IDJ2eXGCBCDu.nn.relu)(DyzboKL9cczb)
DyzboKL9cczb = DyzboKL9cczb[:, ehT0Px3KOsy9(chr(976 - 928) + chr(2515 - 2404) + chr(0b110001), 8):, ehT0Px3KOsy9(chr(1703 - 1655) + chr(0b1101111) + chr(0b1101 + 0o44), 8):, :]
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6R\xc2N\x14F\x11\xce\xdb\x19\x07\x0c\x0e\x02\x817_r\x81\xd2'), chr(0b1100 + 0o130) + '\145' + '\143' + chr(1189 - 1078) + chr(5280 - 5180) + chr(0b1100101))('\165' + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)) % CVRCXTcnOnH6)
return DyzboKL9cczb
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
weight_targeting
|
def weight_targeting(w, k):
"""Weight-level magnitude pruning."""
k = tf.to_int32(k)
w_shape = shape_list(w)
size = tf.to_int32(tf.reduce_prod(w_shape[:-1]))
w = tf.reshape(w, [size, w_shape[-1]])
transpose_w = tf.transpose(w)
thres = tf.contrib.framework.sort(tf.abs(transpose_w), axis=1)[:, k]
mask = to_float(thres[None, :] >= tf.abs(w))
return tf.reshape(mask, w_shape)
|
python
|
def weight_targeting(w, k):
"""Weight-level magnitude pruning."""
k = tf.to_int32(k)
w_shape = shape_list(w)
size = tf.to_int32(tf.reduce_prod(w_shape[:-1]))
w = tf.reshape(w, [size, w_shape[-1]])
transpose_w = tf.transpose(w)
thres = tf.contrib.framework.sort(tf.abs(transpose_w), axis=1)[:, k]
mask = to_float(thres[None, :] >= tf.abs(w))
return tf.reshape(mask, w_shape)
|
[
"def",
"weight_targeting",
"(",
"w",
",",
"k",
")",
":",
"k",
"=",
"tf",
".",
"to_int32",
"(",
"k",
")",
"w_shape",
"=",
"shape_list",
"(",
"w",
")",
"size",
"=",
"tf",
".",
"to_int32",
"(",
"tf",
".",
"reduce_prod",
"(",
"w_shape",
"[",
":",
"-",
"1",
"]",
")",
")",
"w",
"=",
"tf",
".",
"reshape",
"(",
"w",
",",
"[",
"size",
",",
"w_shape",
"[",
"-",
"1",
"]",
"]",
")",
"transpose_w",
"=",
"tf",
".",
"transpose",
"(",
"w",
")",
"thres",
"=",
"tf",
".",
"contrib",
".",
"framework",
".",
"sort",
"(",
"tf",
".",
"abs",
"(",
"transpose_w",
")",
",",
"axis",
"=",
"1",
")",
"[",
":",
",",
"k",
"]",
"mask",
"=",
"to_float",
"(",
"thres",
"[",
"None",
",",
":",
"]",
">=",
"tf",
".",
"abs",
"(",
"w",
")",
")",
"return",
"tf",
".",
"reshape",
"(",
"mask",
",",
"w_shape",
")"
] |
Weight-level magnitude pruning.
|
[
"Weight",
"-",
"level",
"magnitude",
"pruning",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L3844-L3855
|
train
|
Weight - level magnitude pruning.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b1100111 + 0o10) + chr(0b110011) + '\061' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\067' + chr(1926 - 1874), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + chr(0b10001 + 0o42) + '\x32' + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b10001 + 0o41), 0o10), ehT0Px3KOsy9(chr(2234 - 2186) + '\157' + chr(51) + chr(0b10001 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + '\x32' + chr(2231 - 2179) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(0b11101 + 0o26) + chr(0b110101) + chr(0b1 + 0o63), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5479 - 5368) + '\062' + chr(0b110010) + chr(0b100011 + 0o22), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11101 + 0o24) + '\x35' + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(558 - 507) + chr(1972 - 1920) + chr(0b11011 + 0o26), 42230 - 42222), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b110110) + chr(0b100011 + 0o22), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b1000 + 0o53) + '\x36', 7250 - 7242), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + '\061' + chr(0b110111) + '\x34', 52602 - 52594), ehT0Px3KOsy9(chr(0b110000) + chr(5235 - 5124) + chr(49) + '\063' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(2219 - 2171) + chr(0b1101111) + chr(0b110001) + chr(0b11110 + 0o30) + chr(54), 0o10), ehT0Px3KOsy9(chr(1300 - 1252) + chr(111) + '\067' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(996 - 942) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(239 - 189) + chr(0b11001 + 0o35) + chr(0b10011 + 0o35), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b101111 + 0o6) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\x34' + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(1944 - 1892) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(2202 - 2154) + '\157' + '\x33' + chr(50) + chr(1196 - 1142), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + chr(1647 - 1597) + chr(0b110001) + '\062', 30128 - 30120), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b11011 + 0o124) + chr(0b110100) + chr(0b110100), 57460 - 57452), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1111 + 0o140) + chr(49) + chr(115 - 62) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4687 - 4576) + '\061' + chr(0b11000 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(1113 - 1065) + chr(0b1101111) + '\x35' + chr(1762 - 1710), 32642 - 32634), ehT0Px3KOsy9(chr(1510 - 1462) + '\157' + chr(0b110010 + 0o0) + '\x34' + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + chr(11722 - 11611) + chr(0b100111 + 0o13) + '\x37' + chr(0b101101 + 0o5), 28937 - 28929), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1100 + 0o45) + '\x31' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(328 - 278) + chr(0b1101 + 0o51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + chr(0b1110 + 0o44) + chr(0b101111 + 0o2), 37360 - 37352), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11 + 0o57) + '\x37' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1708 - 1660) + '\x6f' + '\062' + chr(0b110100) + '\064', 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x31' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011010 + 0o25) + '\x32' + '\x30' + '\061', 0b1000), ehT0Px3KOsy9(chr(1218 - 1170) + '\157' + chr(0b1000 + 0o55), 0o10), ehT0Px3KOsy9(chr(709 - 661) + '\157' + chr(116 - 66) + '\x32' + chr(2055 - 2006), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(9891 - 9780) + chr(1524 - 1475) + chr(54) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(51) + '\x30', 25350 - 25342)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1243 - 1195) + chr(7093 - 6982) + chr(0b11101 + 0o30) + '\060', 44589 - 44581)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3'), '\x64' + chr(0b1011010 + 0o13) + chr(0b1100011) + chr(604 - 493) + chr(0b1100100) + '\x65')('\165' + '\x74' + chr(102) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ioLognPARPMD(AOfzRywRzEXp, OolUPRJhRaJd):
OolUPRJhRaJd = IDJ2eXGCBCDu.to_int32(OolUPRJhRaJd)
hx4Bljlpg_3G = qypPRW8fq869(AOfzRywRzEXp)
NLcc3BCJnQka = IDJ2eXGCBCDu.to_int32(IDJ2eXGCBCDu.reduce_prod(hx4Bljlpg_3G[:-ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10111 + 0o32), ord("\x08"))]))
AOfzRywRzEXp = IDJ2eXGCBCDu.reshape(AOfzRywRzEXp, [NLcc3BCJnQka, hx4Bljlpg_3G[-ehT0Px3KOsy9(chr(0b110000) + chr(8387 - 8276) + '\x31', 8)]])
hA2btlFXyRqj = IDJ2eXGCBCDu.transpose(AOfzRywRzEXp)
IQXxI49rc3Fq = IDJ2eXGCBCDu.contrib.framework.sort(IDJ2eXGCBCDu.abs(hA2btlFXyRqj), axis=ehT0Px3KOsy9(chr(48) + chr(111) + chr(915 - 866), 8))[:, OolUPRJhRaJd]
Iz1jSgUKZDvt = ZUL3kHBGU8Uu(IQXxI49rc3Fq[None, :] >= IDJ2eXGCBCDu.abs(AOfzRywRzEXp))
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\xd9\xa4j~\xd1\x89'), chr(4557 - 4457) + '\145' + chr(8968 - 8869) + chr(2040 - 1929) + chr(0b1010000 + 0o24) + chr(5979 - 5878))(chr(117) + chr(0b100110 + 0o116) + chr(0b1100110) + '\055' + '\070'))(Iz1jSgUKZDvt, hx4Bljlpg_3G)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
unit_targeting
|
def unit_targeting(w, k):
"""Unit-level magnitude pruning."""
k = tf.to_int32(k)
w_shape = shape_list(w)
size = tf.to_int32(tf.reduce_prod(w_shape[:-1]))
w = tf.reshape(w, [size, w_shape[-1]])
norm = tf.norm(w, axis=0)
thres = tf.contrib.framework.sort(norm, axis=0)[k]
mask = to_float(thres >= norm)[None, :]
mask = tf.tile(mask, [size, 1])
return tf.reshape(mask, w_shape)
|
python
|
def unit_targeting(w, k):
"""Unit-level magnitude pruning."""
k = tf.to_int32(k)
w_shape = shape_list(w)
size = tf.to_int32(tf.reduce_prod(w_shape[:-1]))
w = tf.reshape(w, [size, w_shape[-1]])
norm = tf.norm(w, axis=0)
thres = tf.contrib.framework.sort(norm, axis=0)[k]
mask = to_float(thres >= norm)[None, :]
mask = tf.tile(mask, [size, 1])
return tf.reshape(mask, w_shape)
|
[
"def",
"unit_targeting",
"(",
"w",
",",
"k",
")",
":",
"k",
"=",
"tf",
".",
"to_int32",
"(",
"k",
")",
"w_shape",
"=",
"shape_list",
"(",
"w",
")",
"size",
"=",
"tf",
".",
"to_int32",
"(",
"tf",
".",
"reduce_prod",
"(",
"w_shape",
"[",
":",
"-",
"1",
"]",
")",
")",
"w",
"=",
"tf",
".",
"reshape",
"(",
"w",
",",
"[",
"size",
",",
"w_shape",
"[",
"-",
"1",
"]",
"]",
")",
"norm",
"=",
"tf",
".",
"norm",
"(",
"w",
",",
"axis",
"=",
"0",
")",
"thres",
"=",
"tf",
".",
"contrib",
".",
"framework",
".",
"sort",
"(",
"norm",
",",
"axis",
"=",
"0",
")",
"[",
"k",
"]",
"mask",
"=",
"to_float",
"(",
"thres",
">=",
"norm",
")",
"[",
"None",
",",
":",
"]",
"mask",
"=",
"tf",
".",
"tile",
"(",
"mask",
",",
"[",
"size",
",",
"1",
"]",
")",
"return",
"tf",
".",
"reshape",
"(",
"mask",
",",
"w_shape",
")"
] |
Unit-level magnitude pruning.
|
[
"Unit",
"-",
"level",
"magnitude",
"pruning",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L3858-L3870
|
train
|
Unit - level magnitude pruning.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1435 - 1387) + chr(5422 - 5311) + '\062' + chr(943 - 895) + chr(0b100100 + 0o15), 33481 - 33473), ehT0Px3KOsy9('\060' + '\157' + chr(665 - 614) + '\064' + chr(0b101111 + 0o5), 0o10), ehT0Px3KOsy9(chr(430 - 382) + chr(0b110110 + 0o71) + chr(49) + chr(0b110000 + 0o2) + chr(327 - 277), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(89 - 36) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(742 - 631) + chr(0b11111 + 0o24) + chr(0b1011 + 0o47), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111101 + 0o62) + chr(50) + chr(52) + chr(55), 0o10), ehT0Px3KOsy9(chr(1046 - 998) + chr(7068 - 6957) + chr(0b110010) + '\061' + chr(0b10011 + 0o35), 57603 - 57595), ehT0Px3KOsy9(chr(167 - 119) + '\157' + chr(0b11000 + 0o32) + chr(0b110011) + chr(48), 47603 - 47595), ehT0Px3KOsy9(chr(48) + chr(9915 - 9804) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2129 - 2018) + '\061' + chr(0b110000) + chr(2638 - 2584), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\x36' + chr(354 - 302), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065' + chr(2179 - 2125), 33946 - 33938), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + '\062' + chr(0b1010 + 0o46) + chr(49), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1100 + 0o45) + chr(52) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10350 - 10239) + '\x32' + chr(55) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(0b10101 + 0o41) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b100111 + 0o14) + '\x35' + chr(0b110011), 8930 - 8922), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(54) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(1179 - 1131) + chr(4110 - 3999) + chr(0b110101) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(8412 - 8301) + chr(0b100101 + 0o15) + chr(50) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + chr(49) + '\x37' + chr(0b1000 + 0o55), 64181 - 64173), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(53) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(3155 - 3044) + '\x32' + chr(1031 - 979) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1623 - 1572) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110110 + 0o1) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8336 - 8225) + chr(1913 - 1864) + chr(49) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b101010 + 0o105) + chr(0b110001) + chr(51) + chr(0b100 + 0o60), 61097 - 61089), ehT0Px3KOsy9(chr(744 - 696) + chr(0b1101111) + chr(508 - 457) + chr(1235 - 1184) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\061' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\065' + chr(1707 - 1658), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b110010) + chr(2291 - 2241), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + chr(0b110111) + chr(1064 - 1012), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110001) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(2377 - 2328) + chr(0b10101 + 0o34) + '\x33', 0o10), ehT0Px3KOsy9(chr(2074 - 2026) + chr(10298 - 10187) + '\062' + '\064' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x36' + chr(0b1011 + 0o54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(2261 - 2212) + chr(486 - 437) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110011) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101110 + 0o4) + '\x36' + chr(0b101 + 0o62), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110101) + chr(48), 38068 - 38060)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf'), chr(0b1100100) + chr(101) + chr(99) + chr(111) + chr(0b1100100) + chr(0b1010111 + 0o16))('\x75' + chr(0b1001110 + 0o46) + chr(102) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def oivOnJTcpQqp(AOfzRywRzEXp, OolUPRJhRaJd):
OolUPRJhRaJd = IDJ2eXGCBCDu.to_int32(OolUPRJhRaJd)
hx4Bljlpg_3G = qypPRW8fq869(AOfzRywRzEXp)
NLcc3BCJnQka = IDJ2eXGCBCDu.to_int32(IDJ2eXGCBCDu.reduce_prod(hx4Bljlpg_3G[:-ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 14188 - 14180)]))
AOfzRywRzEXp = IDJ2eXGCBCDu.reshape(AOfzRywRzEXp, [NLcc3BCJnQka, hx4Bljlpg_3G[-ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + chr(1924 - 1875), 8)]])
eTOwOXrckQns = IDJ2eXGCBCDu.eTOwOXrckQns(AOfzRywRzEXp, axis=ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + '\060', 60385 - 60377))
IQXxI49rc3Fq = IDJ2eXGCBCDu.contrib.framework.sort(eTOwOXrckQns, axis=ehT0Px3KOsy9('\x30' + '\157' + '\060', 8))[OolUPRJhRaJd]
Iz1jSgUKZDvt = ZUL3kHBGU8Uu(IQXxI49rc3Fq >= eTOwOXrckQns)[None, :]
Iz1jSgUKZDvt = IDJ2eXGCBCDu.tile(Iz1jSgUKZDvt, [NLcc3BCJnQka, ehT0Px3KOsy9(chr(2258 - 2210) + '\x6f' + chr(0b110001), 8)])
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\x81!B{\xd7\xed'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1110 + 0o141) + chr(0b1100100) + '\145')('\165' + chr(0b1100010 + 0o22) + '\146' + chr(0b10101 + 0o30) + chr(0b111000)))(Iz1jSgUKZDvt, hx4Bljlpg_3G)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
td_conv
|
def td_conv(inputs,
filters,
kernel_size,
targeting_count,
targeting_fn,
keep_prob,
is_training,
do_prune=True,
strides=(1, 1),
padding="valid",
data_format="channels_last",
dilation_rate=(1, 1),
activation=None,
use_bias=True,
kernel_initializer=None,
bias_initializer=tf.zeros_initializer(),
name=None,
reuse=None):
"""Apply targeted dropout to the weights of a convolution."""
with tf.variable_scope(name, default_name="td_conv", reuse=reuse):
nhwc = data_format == "channels_last"
in_dim = shape_list(inputs)[-1] if nhwc else shape_list(inputs)[1]
kernel_shape = [kernel_size, kernel_size, in_dim, filters]
w = tf.get_variable(
"DW", shape=kernel_shape, initializer=kernel_initializer)
if use_bias:
b = tf.get_variable("b", shape=[filters], initializer=bias_initializer)
if keep_prob < 1.0:
w = targeted_dropout(
w,
targeting_count,
keep_prob,
targeting_fn,
is_training,
do_prune=do_prune)
if isinstance(strides, int):
strides = [strides, strides]
if isinstance(dilation_rate, int):
dilation_rate = [dilation_rate, dilation_rate]
if nhwc:
strides = [1, strides[0], strides[1], 1]
dilation_rate = [1, dilation_rate[0], dilation_rate[1], 1]
else:
strides = [1, 1, strides[0], strides[1]]
dilation_rate = [1, 1, dilation_rate[0], dilation_rate[1]]
y = tf.nn.conv2d(
inputs,
w,
strides,
padding,
data_format="NHWC" if nhwc else "NCHW",
dilations=dilation_rate,
name=None)
if use_bias:
y += b
if activation:
y = activation(y)
return y
|
python
|
def td_conv(inputs,
filters,
kernel_size,
targeting_count,
targeting_fn,
keep_prob,
is_training,
do_prune=True,
strides=(1, 1),
padding="valid",
data_format="channels_last",
dilation_rate=(1, 1),
activation=None,
use_bias=True,
kernel_initializer=None,
bias_initializer=tf.zeros_initializer(),
name=None,
reuse=None):
"""Apply targeted dropout to the weights of a convolution."""
with tf.variable_scope(name, default_name="td_conv", reuse=reuse):
nhwc = data_format == "channels_last"
in_dim = shape_list(inputs)[-1] if nhwc else shape_list(inputs)[1]
kernel_shape = [kernel_size, kernel_size, in_dim, filters]
w = tf.get_variable(
"DW", shape=kernel_shape, initializer=kernel_initializer)
if use_bias:
b = tf.get_variable("b", shape=[filters], initializer=bias_initializer)
if keep_prob < 1.0:
w = targeted_dropout(
w,
targeting_count,
keep_prob,
targeting_fn,
is_training,
do_prune=do_prune)
if isinstance(strides, int):
strides = [strides, strides]
if isinstance(dilation_rate, int):
dilation_rate = [dilation_rate, dilation_rate]
if nhwc:
strides = [1, strides[0], strides[1], 1]
dilation_rate = [1, dilation_rate[0], dilation_rate[1], 1]
else:
strides = [1, 1, strides[0], strides[1]]
dilation_rate = [1, 1, dilation_rate[0], dilation_rate[1]]
y = tf.nn.conv2d(
inputs,
w,
strides,
padding,
data_format="NHWC" if nhwc else "NCHW",
dilations=dilation_rate,
name=None)
if use_bias:
y += b
if activation:
y = activation(y)
return y
|
[
"def",
"td_conv",
"(",
"inputs",
",",
"filters",
",",
"kernel_size",
",",
"targeting_count",
",",
"targeting_fn",
",",
"keep_prob",
",",
"is_training",
",",
"do_prune",
"=",
"True",
",",
"strides",
"=",
"(",
"1",
",",
"1",
")",
",",
"padding",
"=",
"\"valid\"",
",",
"data_format",
"=",
"\"channels_last\"",
",",
"dilation_rate",
"=",
"(",
"1",
",",
"1",
")",
",",
"activation",
"=",
"None",
",",
"use_bias",
"=",
"True",
",",
"kernel_initializer",
"=",
"None",
",",
"bias_initializer",
"=",
"tf",
".",
"zeros_initializer",
"(",
")",
",",
"name",
"=",
"None",
",",
"reuse",
"=",
"None",
")",
":",
"with",
"tf",
".",
"variable_scope",
"(",
"name",
",",
"default_name",
"=",
"\"td_conv\"",
",",
"reuse",
"=",
"reuse",
")",
":",
"nhwc",
"=",
"data_format",
"==",
"\"channels_last\"",
"in_dim",
"=",
"shape_list",
"(",
"inputs",
")",
"[",
"-",
"1",
"]",
"if",
"nhwc",
"else",
"shape_list",
"(",
"inputs",
")",
"[",
"1",
"]",
"kernel_shape",
"=",
"[",
"kernel_size",
",",
"kernel_size",
",",
"in_dim",
",",
"filters",
"]",
"w",
"=",
"tf",
".",
"get_variable",
"(",
"\"DW\"",
",",
"shape",
"=",
"kernel_shape",
",",
"initializer",
"=",
"kernel_initializer",
")",
"if",
"use_bias",
":",
"b",
"=",
"tf",
".",
"get_variable",
"(",
"\"b\"",
",",
"shape",
"=",
"[",
"filters",
"]",
",",
"initializer",
"=",
"bias_initializer",
")",
"if",
"keep_prob",
"<",
"1.0",
":",
"w",
"=",
"targeted_dropout",
"(",
"w",
",",
"targeting_count",
",",
"keep_prob",
",",
"targeting_fn",
",",
"is_training",
",",
"do_prune",
"=",
"do_prune",
")",
"if",
"isinstance",
"(",
"strides",
",",
"int",
")",
":",
"strides",
"=",
"[",
"strides",
",",
"strides",
"]",
"if",
"isinstance",
"(",
"dilation_rate",
",",
"int",
")",
":",
"dilation_rate",
"=",
"[",
"dilation_rate",
",",
"dilation_rate",
"]",
"if",
"nhwc",
":",
"strides",
"=",
"[",
"1",
",",
"strides",
"[",
"0",
"]",
",",
"strides",
"[",
"1",
"]",
",",
"1",
"]",
"dilation_rate",
"=",
"[",
"1",
",",
"dilation_rate",
"[",
"0",
"]",
",",
"dilation_rate",
"[",
"1",
"]",
",",
"1",
"]",
"else",
":",
"strides",
"=",
"[",
"1",
",",
"1",
",",
"strides",
"[",
"0",
"]",
",",
"strides",
"[",
"1",
"]",
"]",
"dilation_rate",
"=",
"[",
"1",
",",
"1",
",",
"dilation_rate",
"[",
"0",
"]",
",",
"dilation_rate",
"[",
"1",
"]",
"]",
"y",
"=",
"tf",
".",
"nn",
".",
"conv2d",
"(",
"inputs",
",",
"w",
",",
"strides",
",",
"padding",
",",
"data_format",
"=",
"\"NHWC\"",
"if",
"nhwc",
"else",
"\"NCHW\"",
",",
"dilations",
"=",
"dilation_rate",
",",
"name",
"=",
"None",
")",
"if",
"use_bias",
":",
"y",
"+=",
"b",
"if",
"activation",
":",
"y",
"=",
"activation",
"(",
"y",
")",
"return",
"y"
] |
Apply targeted dropout to the weights of a convolution.
|
[
"Apply",
"targeted",
"dropout",
"to",
"the",
"weights",
"of",
"a",
"convolution",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L3873-L3938
|
train
|
Applies targeted dropout to the weights of a convolution.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(468 - 420) + chr(111) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000 + 0o3) + chr(0b110111), 5262 - 5254), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b110111 + 0o70) + chr(0b10 + 0o61) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(6033 - 5922) + '\062' + '\x33' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b11001 + 0o36) + chr(55), 0b1000), ehT0Px3KOsy9(chr(808 - 760) + chr(6795 - 6684) + chr(0b110011) + chr(0b11001 + 0o36) + chr(51), 21991 - 21983), ehT0Px3KOsy9('\x30' + chr(0b111101 + 0o62) + chr(0b110010) + '\060' + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(11108 - 10997) + chr(716 - 665) + chr(54) + chr(55 - 6), 46308 - 46300), ehT0Px3KOsy9('\x30' + chr(111) + chr(1162 - 1112) + '\063' + chr(2236 - 2182), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110010) + '\x37', 61113 - 61105), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(12016 - 11905) + chr(498 - 448) + '\065' + chr(341 - 293), 47912 - 47904), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110001) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(0b10010 + 0o40) + chr(49) + '\065', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(744 - 695) + chr(0b0 + 0o67) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1670 - 1622) + chr(0b101100 + 0o103) + chr(0b100101 + 0o14) + chr(0b11 + 0o60) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(2299 - 2247) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(49) + chr(0b100111 + 0o11) + '\x32', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(2312 - 2263) + '\x35' + '\x34', 29319 - 29311), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + '\x31' + chr(48) + '\060', 22887 - 22879), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b1000 + 0o52) + chr(0b11010 + 0o34), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1625 - 1575) + chr(0b101 + 0o57) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7832 - 7721) + '\062' + chr(50) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101110 + 0o1) + chr(0b110 + 0o60) + chr(0b10011 + 0o35), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(389 - 341) + '\x35', 41587 - 41579), ehT0Px3KOsy9(chr(1257 - 1209) + chr(0b1000100 + 0o53) + '\061' + '\x34' + '\x37', 19973 - 19965), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(54) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(54) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(49) + '\x31', 5828 - 5820), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b11110 + 0o23) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1010001 + 0o36) + chr(0b10001 + 0o40) + chr(665 - 610) + chr(0b10 + 0o65), 8), ehT0Px3KOsy9(chr(180 - 132) + chr(3289 - 3178) + '\063' + chr(0b110101) + chr(0b1111 + 0o47), 0o10), ehT0Px3KOsy9(chr(2072 - 2024) + chr(0b1101111) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(54) + chr(0b10000 + 0o40), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(8677 - 8566) + chr(0b110010) + chr(0b100111 + 0o13) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(2314 - 2264) + chr(2212 - 2157) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(11422 - 11311) + '\063' + chr(0b110111) + '\066', 43697 - 43689), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\066' + chr(0b110000), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(0b110000 + 0o5) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'/'), '\144' + chr(0b1011101 + 0o10) + chr(0b1010101 + 0o16) + chr(0b1101111) + '\x64' + chr(2174 - 2073))('\165' + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b0 + 0o70)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def OTR0crrUvGOL(vXoupepMtCXU, MErh319F3bgE, m6gwVXy4D3Au, IR08KXxQRyat, HvlU7Y05EReI, gHeP0t6GwBIV, XQJVi3cQFN5l, feaSms3EHZH7=ehT0Px3KOsy9('\x30' + chr(0b1000 + 0o147) + '\061', 8), r8knJmMTTKwv=(ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101011 + 0o6), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001), 8)), TFLseEYASEKG=xafqLlk3kkUe(SXOLrMavuUCe(b'w~w\xf3\x9b'), '\144' + chr(0b10000 + 0o125) + '\143' + chr(111) + '\x64' + chr(101))(chr(0b1000000 + 0o65) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b111000)), ydIN5gIUKwpW=xafqLlk3kkUe(SXOLrMavuUCe(b'bwz\xf4\x91\x9e\xefu\xae\xf26t\xdc'), chr(0b110 + 0o136) + chr(101) + chr(99) + chr(4998 - 4887) + chr(100) + chr(0b1100101))('\165' + chr(8332 - 8216) + '\x66' + '\x2d' + chr(237 - 181)), Rm2KgSQziMI2=(ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + chr(0b1111 + 0o140) + chr(49), 8)), _GyOifGFZyk1=None, oefSRMB5782O=ehT0Px3KOsy9(chr(1248 - 1200) + chr(0b1101111) + chr(49), 8), yTYoQGLIQD0u=None, qV2vQknHOrdL=xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'{zi\xf5\x8c\xa4\xeah\x98\xea>f\xc4\xe4\xf7m\r'), chr(4139 - 4039) + chr(0b110001 + 0o64) + chr(5450 - 5351) + chr(111) + chr(0b1100100 + 0o0) + '\145')(chr(0b1110101) + chr(0b1011011 + 0o31) + '\x66' + chr(45) + chr(3000 - 2944)))(), AIvJRzLdDfgF=None, pmC5wdSFgdFj=None):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'w~i\xf3\x9e\x99\xefc\xae\xed4h\xd8\xe8'), '\x64' + chr(0b1100101) + chr(7066 - 6967) + chr(0b10111 + 0o130) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(9899 - 9783) + chr(0b1100110) + '\x2d' + '\070'))(AIvJRzLdDfgF, default_name=xafqLlk3kkUe(SXOLrMavuUCe(b'u{D\xf9\x90\x95\xf5'), chr(9247 - 9147) + chr(0b1100101) + '\x63' + '\157' + '\x64' + chr(0b1001110 + 0o27))(chr(117) + chr(0b111111 + 0o65) + '\x66' + '\x2d' + '\070'), reuse=pmC5wdSFgdFj):
jiFIX1cvraeQ = ydIN5gIUKwpW == xafqLlk3kkUe(SXOLrMavuUCe(b'bwz\xf4\x91\x9e\xefu\xae\xf26t\xdc'), chr(0b1100100) + chr(0b11110 + 0o107) + '\143' + chr(0b1101111) + chr(100) + chr(4742 - 4641))(chr(0b1110101) + chr(0b1110100) + chr(3185 - 3083) + chr(45) + chr(2717 - 2661))
Nn8AAiiVwU2r = qypPRW8fq869(vXoupepMtCXU)[-ehT0Px3KOsy9(chr(411 - 363) + chr(0b1101111) + chr(2152 - 2103), 8)] if jiFIX1cvraeQ else qypPRW8fq869(vXoupepMtCXU)[ehT0Px3KOsy9(chr(48) + chr(111) + chr(49), 8)]
rfEfwrHomCSG = [m6gwVXy4D3Au, m6gwVXy4D3Au, Nn8AAiiVwU2r, MErh319F3bgE]
AOfzRywRzEXp = IDJ2eXGCBCDu.get_variable(xafqLlk3kkUe(SXOLrMavuUCe(b'EH'), chr(1679 - 1579) + chr(9972 - 9871) + chr(3277 - 3178) + chr(0b1101111) + chr(0b1000011 + 0o41) + '\x65')(chr(0b1110101) + '\164' + chr(0b1100110) + '\x2d' + chr(0b100001 + 0o27)), shape=rfEfwrHomCSG, initializer=yTYoQGLIQD0u)
if oefSRMB5782O:
wmN3dvez4qzC = IDJ2eXGCBCDu.get_variable(xafqLlk3kkUe(SXOLrMavuUCe(b'c'), chr(100) + '\x65' + '\143' + chr(0b1101111) + chr(100) + chr(627 - 526))('\165' + chr(0b1010000 + 0o44) + chr(0b110011 + 0o63) + chr(291 - 246) + chr(1907 - 1851)), shape=[MErh319F3bgE], initializer=qV2vQknHOrdL)
if gHeP0t6GwBIV < 1.0:
AOfzRywRzEXp = l2iASpX4NYc_(AOfzRywRzEXp, IR08KXxQRyat, gHeP0t6GwBIV, HvlU7Y05EReI, XQJVi3cQFN5l, do_prune=feaSms3EHZH7)
if PlSM16l2KDPD(r8knJmMTTKwv, ehT0Px3KOsy9):
r8knJmMTTKwv = [r8knJmMTTKwv, r8knJmMTTKwv]
if PlSM16l2KDPD(Rm2KgSQziMI2, ehT0Px3KOsy9):
Rm2KgSQziMI2 = [Rm2KgSQziMI2, Rm2KgSQziMI2]
if jiFIX1cvraeQ:
r8knJmMTTKwv = [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001 + 0o0), 8), r8knJmMTTKwv[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x30', 0b1000)], r8knJmMTTKwv[ehT0Px3KOsy9('\060' + chr(1475 - 1364) + '\061', 8)], ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061', 8)]
Rm2KgSQziMI2 = [ehT0Px3KOsy9(chr(1770 - 1722) + chr(0b1100001 + 0o16) + chr(0b100011 + 0o16), 8), Rm2KgSQziMI2[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000), 8)], Rm2KgSQziMI2[ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061', 8)], ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + chr(0b110001), 8)]
else:
r8knJmMTTKwv = [ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(849 - 800), 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(49), 8), r8knJmMTTKwv[ehT0Px3KOsy9('\060' + chr(12132 - 12021) + '\060', 8)], r8knJmMTTKwv[ehT0Px3KOsy9(chr(1038 - 990) + chr(0b1101111) + '\x31', 8)]]
Rm2KgSQziMI2 = [ehT0Px3KOsy9(chr(821 - 773) + '\x6f' + '\061', 8), ehT0Px3KOsy9(chr(2013 - 1965) + '\x6f' + '\x31', 8), Rm2KgSQziMI2[ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + chr(0b1 + 0o57), 8)], Rm2KgSQziMI2[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101011 + 0o6), 8)]]
SqiSOtYOqOJH = IDJ2eXGCBCDu.nn.conv2d(vXoupepMtCXU, AOfzRywRzEXp, r8knJmMTTKwv, TFLseEYASEKG, data_format=xafqLlk3kkUe(SXOLrMavuUCe(b'OWL\xd9'), '\144' + chr(101) + chr(9395 - 9296) + chr(2176 - 2065) + chr(5452 - 5352) + chr(101))(chr(8047 - 7930) + chr(2584 - 2468) + '\x66' + chr(1741 - 1696) + chr(1244 - 1188)) if jiFIX1cvraeQ else xafqLlk3kkUe(SXOLrMavuUCe(b'O\\S\xcd'), chr(3157 - 3057) + '\x65' + '\143' + '\x6f' + chr(0b1010110 + 0o16) + '\145')('\165' + chr(3373 - 3257) + '\x66' + chr(1375 - 1330) + '\070'), dilations=Rm2KgSQziMI2, name=None)
if oefSRMB5782O:
SqiSOtYOqOJH += wmN3dvez4qzC
if _GyOifGFZyk1:
SqiSOtYOqOJH = _GyOifGFZyk1(SqiSOtYOqOJH)
return SqiSOtYOqOJH
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
targeted_dropout
|
def targeted_dropout(inputs,
k,
keep_prob,
targeting_fn,
is_training,
do_prune=False):
"""Applies targeted dropout.
Applies dropout at a rate of `1 - keep_prob` to only those elements of
`inputs` marked by `targeting_fn`. See below and paper for more detail:
"Targeted Dropout for Posthoc Pruning" Aidan N. Gomez, Ivan Zhang,
Kevin Swersky, Yarin Gal, and Geoffrey E. Hinton.
Args:
inputs: Tensor, inputs to apply targeted dropout to.
k: Scalar Tensor or python scalar, sets the number of elements to target in
`inputs`. Must be within `[0, tf.shape(x)[-1]]` and compatible with
second argument of `targeting_fn`.
keep_prob: Scalar Tensor, passed as `tf.nn.dropout`'s `keep_prob` argument.
targeting_fn: callable `fn(inputs, k) -> Boolean Tensor`, produces a
boolean mask the same shape as `inputs` where True indicates an element
will be dropped, and False not.
is_training: bool, indicates whether currently training.
do_prune: bool, indicates whether to prune the `k * (1 - keep_prob)`
elements of `inputs` expected to be dropped each forwards pass.
Returns:
Tensor, same shape and dtype as `inputs`.
"""
if not is_training and do_prune:
k = tf.round(to_float(k) * to_float(1. - keep_prob))
mask = targeting_fn(inputs, k)
mask = tf.cast(mask, inputs.dtype)
if is_training:
return inputs * (1 - mask) + tf.nn.dropout(inputs, keep_prob) * mask
elif do_prune:
return inputs * (1 - mask)
else:
return inputs
|
python
|
def targeted_dropout(inputs,
k,
keep_prob,
targeting_fn,
is_training,
do_prune=False):
"""Applies targeted dropout.
Applies dropout at a rate of `1 - keep_prob` to only those elements of
`inputs` marked by `targeting_fn`. See below and paper for more detail:
"Targeted Dropout for Posthoc Pruning" Aidan N. Gomez, Ivan Zhang,
Kevin Swersky, Yarin Gal, and Geoffrey E. Hinton.
Args:
inputs: Tensor, inputs to apply targeted dropout to.
k: Scalar Tensor or python scalar, sets the number of elements to target in
`inputs`. Must be within `[0, tf.shape(x)[-1]]` and compatible with
second argument of `targeting_fn`.
keep_prob: Scalar Tensor, passed as `tf.nn.dropout`'s `keep_prob` argument.
targeting_fn: callable `fn(inputs, k) -> Boolean Tensor`, produces a
boolean mask the same shape as `inputs` where True indicates an element
will be dropped, and False not.
is_training: bool, indicates whether currently training.
do_prune: bool, indicates whether to prune the `k * (1 - keep_prob)`
elements of `inputs` expected to be dropped each forwards pass.
Returns:
Tensor, same shape and dtype as `inputs`.
"""
if not is_training and do_prune:
k = tf.round(to_float(k) * to_float(1. - keep_prob))
mask = targeting_fn(inputs, k)
mask = tf.cast(mask, inputs.dtype)
if is_training:
return inputs * (1 - mask) + tf.nn.dropout(inputs, keep_prob) * mask
elif do_prune:
return inputs * (1 - mask)
else:
return inputs
|
[
"def",
"targeted_dropout",
"(",
"inputs",
",",
"k",
",",
"keep_prob",
",",
"targeting_fn",
",",
"is_training",
",",
"do_prune",
"=",
"False",
")",
":",
"if",
"not",
"is_training",
"and",
"do_prune",
":",
"k",
"=",
"tf",
".",
"round",
"(",
"to_float",
"(",
"k",
")",
"*",
"to_float",
"(",
"1.",
"-",
"keep_prob",
")",
")",
"mask",
"=",
"targeting_fn",
"(",
"inputs",
",",
"k",
")",
"mask",
"=",
"tf",
".",
"cast",
"(",
"mask",
",",
"inputs",
".",
"dtype",
")",
"if",
"is_training",
":",
"return",
"inputs",
"*",
"(",
"1",
"-",
"mask",
")",
"+",
"tf",
".",
"nn",
".",
"dropout",
"(",
"inputs",
",",
"keep_prob",
")",
"*",
"mask",
"elif",
"do_prune",
":",
"return",
"inputs",
"*",
"(",
"1",
"-",
"mask",
")",
"else",
":",
"return",
"inputs"
] |
Applies targeted dropout.
Applies dropout at a rate of `1 - keep_prob` to only those elements of
`inputs` marked by `targeting_fn`. See below and paper for more detail:
"Targeted Dropout for Posthoc Pruning" Aidan N. Gomez, Ivan Zhang,
Kevin Swersky, Yarin Gal, and Geoffrey E. Hinton.
Args:
inputs: Tensor, inputs to apply targeted dropout to.
k: Scalar Tensor or python scalar, sets the number of elements to target in
`inputs`. Must be within `[0, tf.shape(x)[-1]]` and compatible with
second argument of `targeting_fn`.
keep_prob: Scalar Tensor, passed as `tf.nn.dropout`'s `keep_prob` argument.
targeting_fn: callable `fn(inputs, k) -> Boolean Tensor`, produces a
boolean mask the same shape as `inputs` where True indicates an element
will be dropped, and False not.
is_training: bool, indicates whether currently training.
do_prune: bool, indicates whether to prune the `k * (1 - keep_prob)`
elements of `inputs` expected to be dropped each forwards pass.
Returns:
Tensor, same shape and dtype as `inputs`.
|
[
"Applies",
"targeted",
"dropout",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L3941-L3982
|
train
|
Applies targeted dropout to all elements of the alphabetical alphabetical
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b1101 + 0o142) + chr(0b110001) + '\x30' + '\063', 62359 - 62351), ehT0Px3KOsy9(chr(48) + chr(6220 - 6109) + chr(0b100000 + 0o21) + chr(0b110011) + chr(0b110110), 2046 - 2038), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(1088 - 1040), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(52) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + chr(0b101 + 0o54) + '\067' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(50) + chr(0b110011 + 0o4), 65314 - 65306), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\x35' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + '\061' + '\060' + '\x33', 8), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + chr(0b110010) + chr(2054 - 2000) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110001) + '\x33', 12174 - 12166), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11010 + 0o30) + chr(1148 - 1097) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100100 + 0o17) + chr(0b110011) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110101) + '\063', 0b1000), ehT0Px3KOsy9(chr(2298 - 2250) + chr(0b1011111 + 0o20) + chr(0b10110 + 0o33) + chr(0b110100) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10609 - 10498) + chr(0b110001) + chr(881 - 831), 0b1000), ehT0Px3KOsy9(chr(969 - 921) + '\x6f' + chr(0b10101 + 0o36) + '\x33' + chr(1922 - 1869), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + '\x33' + chr(0b110100) + chr(244 - 194), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(0b110000 + 0o1) + chr(1526 - 1475) + chr(0b11110 + 0o27), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\062', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\061' + chr(2652 - 2598), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10010 + 0o40) + chr(0b110100) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(0b110001 + 0o2) + chr(2091 - 2041) + chr(353 - 305), 0o10), ehT0Px3KOsy9('\x30' + chr(0b11100 + 0o123) + '\x34' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(7504 - 7393) + chr(0b110011) + '\x32' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(0b10101 + 0o35) + chr(0b110000) + chr(2189 - 2141), 50302 - 50294), ehT0Px3KOsy9(chr(48) + '\157' + '\x35' + chr(0b101 + 0o53), 18384 - 18376), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b11 + 0o154) + '\x33' + chr(2145 - 2095) + chr(48), 8), ehT0Px3KOsy9(chr(85 - 37) + chr(0b1010 + 0o145) + chr(0b10110 + 0o33) + '\x34' + chr(0b110110), 8), ehT0Px3KOsy9('\060' + chr(0b1001000 + 0o47) + '\x32' + '\x35' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11101 + 0o24) + '\063' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4514 - 4403) + '\x33' + chr(0b101011 + 0o5), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\064' + chr(1798 - 1745), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + '\062' + chr(0b110110 + 0o1) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\067' + chr(2548 - 2497), 0o10), ehT0Px3KOsy9(chr(826 - 778) + chr(8508 - 8397) + chr(622 - 572) + chr(0b110000 + 0o7), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11 + 0o154) + chr(0b10 + 0o60) + chr(55) + chr(0b101101 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(54) + chr(0b111 + 0o52), 0o10), ehT0Px3KOsy9(chr(48) + chr(5899 - 5788) + chr(0b101000 + 0o13) + '\x30' + '\x33', 59482 - 59474)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1000110 + 0o51) + chr(1314 - 1261) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'm'), chr(100) + chr(0b1000100 + 0o41) + '\143' + chr(11658 - 11547) + chr(100) + '\145')('\x75' + '\x74' + chr(102) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def l2iASpX4NYc_(vXoupepMtCXU, OolUPRJhRaJd, gHeP0t6GwBIV, HvlU7Y05EReI, XQJVi3cQFN5l, feaSms3EHZH7=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(48), 0o10)):
if not XQJVi3cQFN5l and feaSms3EHZH7:
OolUPRJhRaJd = IDJ2eXGCBCDu.round(ZUL3kHBGU8Uu(OolUPRJhRaJd) * ZUL3kHBGU8Uu(1.0 - gHeP0t6GwBIV))
Iz1jSgUKZDvt = HvlU7Y05EReI(vXoupepMtCXU, OolUPRJhRaJd)
Iz1jSgUKZDvt = IDJ2eXGCBCDu.cast(Iz1jSgUKZDvt, vXoupepMtCXU.jSV9IKnemH7K)
if XQJVi3cQFN5l:
return vXoupepMtCXU * (ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(0b11100 + 0o25), 0o10) - Iz1jSgUKZDvt) + xafqLlk3kkUe(IDJ2eXGCBCDu.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'"98e\x96H\x1a\x00\xd3)\xed\xfd'), chr(0b1100010 + 0o2) + '\145' + chr(768 - 669) + chr(0b1101111) + chr(4490 - 4390) + '\145')('\165' + chr(3818 - 3702) + chr(7191 - 7089) + '\x2d' + chr(0b100100 + 0o24)))(vXoupepMtCXU, gHeP0t6GwBIV) * Iz1jSgUKZDvt
elif feaSms3EHZH7:
return vXoupepMtCXU * (ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(0b110001), 8) - Iz1jSgUKZDvt)
else:
return vXoupepMtCXU
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
kl_divergence
|
def kl_divergence(mu, log_var, mu_p=0.0, log_var_p=0.0):
"""KL divergence of diagonal gaussian N(mu,exp(log_var)) and N(0,1).
Args:
mu: mu parameter of the distribution.
log_var: log(var) parameter of the distribution.
mu_p: optional mu from a learned prior distribution
log_var_p: optional log(var) from a learned prior distribution
Returns:
the KL loss.
"""
batch_size = shape_list(mu)[0]
prior_distribution = tfp.distributions.Normal(
mu_p, tf.exp(tf.multiply(0.5, log_var_p)))
posterior_distribution = tfp.distributions.Normal(
mu, tf.exp(tf.multiply(0.5, log_var)))
kld = tfp.distributions.kl_divergence(posterior_distribution,
prior_distribution)
return tf.reduce_sum(kld) / to_float(batch_size)
|
python
|
def kl_divergence(mu, log_var, mu_p=0.0, log_var_p=0.0):
"""KL divergence of diagonal gaussian N(mu,exp(log_var)) and N(0,1).
Args:
mu: mu parameter of the distribution.
log_var: log(var) parameter of the distribution.
mu_p: optional mu from a learned prior distribution
log_var_p: optional log(var) from a learned prior distribution
Returns:
the KL loss.
"""
batch_size = shape_list(mu)[0]
prior_distribution = tfp.distributions.Normal(
mu_p, tf.exp(tf.multiply(0.5, log_var_p)))
posterior_distribution = tfp.distributions.Normal(
mu, tf.exp(tf.multiply(0.5, log_var)))
kld = tfp.distributions.kl_divergence(posterior_distribution,
prior_distribution)
return tf.reduce_sum(kld) / to_float(batch_size)
|
[
"def",
"kl_divergence",
"(",
"mu",
",",
"log_var",
",",
"mu_p",
"=",
"0.0",
",",
"log_var_p",
"=",
"0.0",
")",
":",
"batch_size",
"=",
"shape_list",
"(",
"mu",
")",
"[",
"0",
"]",
"prior_distribution",
"=",
"tfp",
".",
"distributions",
".",
"Normal",
"(",
"mu_p",
",",
"tf",
".",
"exp",
"(",
"tf",
".",
"multiply",
"(",
"0.5",
",",
"log_var_p",
")",
")",
")",
"posterior_distribution",
"=",
"tfp",
".",
"distributions",
".",
"Normal",
"(",
"mu",
",",
"tf",
".",
"exp",
"(",
"tf",
".",
"multiply",
"(",
"0.5",
",",
"log_var",
")",
")",
")",
"kld",
"=",
"tfp",
".",
"distributions",
".",
"kl_divergence",
"(",
"posterior_distribution",
",",
"prior_distribution",
")",
"return",
"tf",
".",
"reduce_sum",
"(",
"kld",
")",
"/",
"to_float",
"(",
"batch_size",
")"
] |
KL divergence of diagonal gaussian N(mu,exp(log_var)) and N(0,1).
Args:
mu: mu parameter of the distribution.
log_var: log(var) parameter of the distribution.
mu_p: optional mu from a learned prior distribution
log_var_p: optional log(var) from a learned prior distribution
Returns:
the KL loss.
|
[
"KL",
"divergence",
"of",
"diagonal",
"gaussian",
"N",
"(",
"mu",
"exp",
"(",
"log_var",
"))",
"and",
"N",
"(",
"0",
"1",
")",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L3985-L4004
|
train
|
KL divergence of diagonal gaussian N mu exp ( log_var ) and N ( 0 1 )
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(9374 - 9263) + '\062' + chr(0b110011) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b10 + 0o60) + '\061' + '\x31', 60661 - 60653), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b100110 + 0o16) + '\063', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(52) + chr(1821 - 1767), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(8244 - 8133) + chr(50) + '\x34' + chr(0b1100 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4041 - 3930) + '\x33' + chr(53) + chr(0b110 + 0o52), 0o10), ehT0Px3KOsy9('\060' + chr(6391 - 6280) + chr(0b10001 + 0o45) + chr(0b110001), 13123 - 13115), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\065' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(55) + chr(0b110111), 7416 - 7408), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(10707 - 10596) + chr(51) + chr(53) + chr(1193 - 1141), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(2610 - 2555) + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(350 - 300) + chr(0b1 + 0o61), 0b1000), ehT0Px3KOsy9('\x30' + chr(10193 - 10082) + '\x33' + chr(0b100100 + 0o20) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(0b100110 + 0o16) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(3510 - 3399) + chr(2027 - 1976) + '\060' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101110 + 0o1) + '\x31' + chr(2484 - 2430) + chr(0b11101 + 0o30), 41313 - 41305), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\061' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(476 - 428) + chr(0b1101111) + chr(0b110010 + 0o1) + '\x37' + '\060', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + '\x33' + '\x36' + chr(1099 - 1051), 26392 - 26384), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(0b110010) + chr(0b110110) + chr(55), 4416 - 4408), ehT0Px3KOsy9(chr(0b110000) + chr(6442 - 6331) + '\x33' + '\062' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9915 - 9804) + chr(49) + chr(52) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11370 - 11259) + chr(0b1101 + 0o52) + chr(0b110001), 17684 - 17676), ehT0Px3KOsy9(chr(1349 - 1301) + '\157' + '\x31' + chr(1284 - 1234) + chr(0b10010 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(1781 - 1733) + chr(0b1011001 + 0o26) + chr(1561 - 1510) + chr(1877 - 1828) + '\067', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100000 + 0o22) + chr(0b110111), 40058 - 40050), ehT0Px3KOsy9(chr(48) + chr(2038 - 1927) + '\062' + chr(55) + chr(0b110100), 32119 - 32111), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\x33' + chr(0b101010 + 0o15) + chr(0b110111), 8), ehT0Px3KOsy9(chr(48) + chr(311 - 200) + chr(0b11100 + 0o25) + chr(0b110110) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101 + 0o56) + '\067' + chr(1759 - 1704), 8), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(51) + chr(0b101111 + 0o10) + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x36' + chr(927 - 873), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1000010 + 0o55) + chr(0b110010) + '\062' + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10803 - 10692) + chr(1071 - 1022) + '\x36' + chr(0b110 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b110100) + chr(0b110001), 5500 - 5492), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b110101 + 0o2) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4402 - 4291) + chr(2113 - 2063) + chr(0b101 + 0o56) + chr(0b10101 + 0o40), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + chr(0b110011) + '\066' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100100 + 0o16) + chr(50) + '\062', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(902 - 849) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2'), chr(100) + '\x65' + chr(8855 - 8756) + chr(9386 - 9275) + '\144' + chr(101))(chr(9119 - 9002) + '\164' + chr(0b11 + 0o143) + chr(1717 - 1672) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def n2a6DHwDV_mI(hOLPUi_G8xuS, WqKppA7hSdD1, EoPRhWpp9liI=0.0, mzzYf7aL5VWO=0.0):
ix9dZyeAmUxY = qypPRW8fq869(hOLPUi_G8xuS)[ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + chr(0b101010 + 0o6), 52141 - 52133)]
Lm37b0WO6oOJ = Ys555qziAbad.distributions.Normal(EoPRhWpp9liI, IDJ2eXGCBCDu.exp(IDJ2eXGCBCDu.multiply(0.5, mzzYf7aL5VWO)))
ZqKMOASY8ZiA = Ys555qziAbad.distributions.Normal(hOLPUi_G8xuS, IDJ2eXGCBCDu.exp(IDJ2eXGCBCDu.multiply(0.5, WqKppA7hSdD1)))
wznKxGylwti1 = Ys555qziAbad.distributions.kl_divergence(ZqKMOASY8ZiA, Lm37b0WO6oOJ)
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xec\x07\x93J\xc1\xb7B\x98\x92'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + chr(100) + chr(2938 - 2837))(chr(12667 - 12550) + chr(116) + '\146' + chr(0b10010 + 0o33) + chr(56)))(wznKxGylwti1) / ZUL3kHBGU8Uu(ix9dZyeAmUxY)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
FactoredTensor.to_tensor
|
def to_tensor(self):
"""Convert to Tensor."""
a_shape = shape_list(self.a)
b_shape = shape_list(self.b)
inner_dim = b_shape[1]
result_dim = b_shape[0]
flat_a = tf.reshape(self.a, [-1, inner_dim])
product = tf.matmul(flat_a, self.b, transpose_b=True)
product_shape = a_shape[:-1] + [result_dim]
product = tf.reshape(product, product_shape)
product.set_shape(self.a.get_shape().as_list()[:-1] +
[self.b.get_shape()[0]])
return product
|
python
|
def to_tensor(self):
"""Convert to Tensor."""
a_shape = shape_list(self.a)
b_shape = shape_list(self.b)
inner_dim = b_shape[1]
result_dim = b_shape[0]
flat_a = tf.reshape(self.a, [-1, inner_dim])
product = tf.matmul(flat_a, self.b, transpose_b=True)
product_shape = a_shape[:-1] + [result_dim]
product = tf.reshape(product, product_shape)
product.set_shape(self.a.get_shape().as_list()[:-1] +
[self.b.get_shape()[0]])
return product
|
[
"def",
"to_tensor",
"(",
"self",
")",
":",
"a_shape",
"=",
"shape_list",
"(",
"self",
".",
"a",
")",
"b_shape",
"=",
"shape_list",
"(",
"self",
".",
"b",
")",
"inner_dim",
"=",
"b_shape",
"[",
"1",
"]",
"result_dim",
"=",
"b_shape",
"[",
"0",
"]",
"flat_a",
"=",
"tf",
".",
"reshape",
"(",
"self",
".",
"a",
",",
"[",
"-",
"1",
",",
"inner_dim",
"]",
")",
"product",
"=",
"tf",
".",
"matmul",
"(",
"flat_a",
",",
"self",
".",
"b",
",",
"transpose_b",
"=",
"True",
")",
"product_shape",
"=",
"a_shape",
"[",
":",
"-",
"1",
"]",
"+",
"[",
"result_dim",
"]",
"product",
"=",
"tf",
".",
"reshape",
"(",
"product",
",",
"product_shape",
")",
"product",
".",
"set_shape",
"(",
"self",
".",
"a",
".",
"get_shape",
"(",
")",
".",
"as_list",
"(",
")",
"[",
":",
"-",
"1",
"]",
"+",
"[",
"self",
".",
"b",
".",
"get_shape",
"(",
")",
"[",
"0",
"]",
"]",
")",
"return",
"product"
] |
Convert to Tensor.
|
[
"Convert",
"to",
"Tensor",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L2601-L2613
|
train
|
Convert to Tensor.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1013 - 965) + '\157' + chr(0b0 + 0o61) + chr(2388 - 2335) + chr(1468 - 1413), 0b1000), ehT0Px3KOsy9(chr(824 - 776) + chr(0b100011 + 0o114) + chr(1028 - 977) + '\x36' + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + '\062' + chr(1185 - 1137) + chr(241 - 187), 53889 - 53881), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110000) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(1508 - 1397) + '\x35' + chr(440 - 390), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(52) + chr(388 - 334), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101100 + 0o7) + chr(0b110010) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + '\x36' + '\066', 37463 - 37455), ehT0Px3KOsy9(chr(48) + '\x6f' + '\065' + chr(0b110011), 28540 - 28532), ehT0Px3KOsy9('\x30' + chr(0b1011 + 0o144) + chr(51) + chr(50) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(0b10110 + 0o35) + chr(0b110000) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010110 + 0o31) + '\x33' + chr(49) + chr(0b101111 + 0o2), 1589 - 1581), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + '\x33' + '\x30' + chr(608 - 556), 28084 - 28076), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b110111) + chr(0b111 + 0o52), 30044 - 30036), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\062' + chr(2370 - 2320) + '\063', 47698 - 47690), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(3292 - 3181) + '\x33' + chr(0b101 + 0o62) + '\x33', 43177 - 43169), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101001 + 0o10) + '\x30' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(194 - 83) + chr(0b110011) + '\067' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100010 + 0o115) + '\x36' + chr(1128 - 1080), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111110 + 0o61) + chr(51) + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b110 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(1070 - 1022) + chr(0b110011 + 0o74) + chr(2042 - 1992) + chr(52) + chr(1895 - 1840), 39592 - 39584), ehT0Px3KOsy9(chr(253 - 205) + chr(0b1000001 + 0o56) + '\063' + '\064' + chr(0b101010 + 0o14), 0b1000), ehT0Px3KOsy9(chr(1343 - 1295) + chr(0b1101111) + chr(0b110001) + '\063', 32837 - 32829), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(733 - 683) + chr(0b101000 + 0o14), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(1559 - 1504) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(51) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(923 - 871) + chr(386 - 335), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1010 + 0o47) + chr(54) + '\x30', 28159 - 28151), ehT0Px3KOsy9(chr(1248 - 1200) + chr(2782 - 2671) + chr(0b110010) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b11000 + 0o31) + chr(0b100 + 0o62), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(5581 - 5470) + chr(0b110001) + chr(0b100000 + 0o26), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b1111 + 0o43) + chr(1734 - 1686), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101011 + 0o7) + chr(0b10101 + 0o35), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11166 - 11055) + chr(55) + chr(0b101010 + 0o12), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(53), 20734 - 20726), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1736 - 1686) + '\065', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2307 - 2256) + chr(0b11000 + 0o35) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + '\061' + chr(0b11011 + 0o31) + chr(0b110010 + 0o2), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + chr(1308 - 1257) + chr(0b1 + 0o61) + '\065', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + chr(0b10010 + 0o36), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'A'), chr(0b1000000 + 0o44) + chr(101) + chr(0b1100011) + chr(111) + '\x64' + '\x65')('\165' + chr(7376 - 7260) + chr(102) + '\055' + chr(0b101000 + 0o20)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def DUCmEOiAErEp(oVre8I6UXc3b):
n9sNig2keA68 = qypPRW8fq869(oVre8I6UXc3b.a)
xZjnDagos6im = qypPRW8fq869(oVre8I6UXc3b.b)
ziLv4ltcrhrI = xZjnDagos6im[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), 0o10)]
T1AiRJVS0umk = xZjnDagos6im[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\060', 0o10)]
xEJQcZAWPMji = IDJ2eXGCBCDu.reshape(oVre8I6UXc3b.a, [-ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001), 8), ziLv4ltcrhrI])
uIRUM5ZtFNrn = IDJ2eXGCBCDu.matmul(xEJQcZAWPMji, oVre8I6UXc3b.b, transpose_b=ehT0Px3KOsy9(chr(2303 - 2255) + '\157' + chr(1063 - 1014), 8))
DOHNiot_L9BX = n9sNig2keA68[:-ehT0Px3KOsy9(chr(48) + chr(5944 - 5833) + '\061', 8)] + [T1AiRJVS0umk]
uIRUM5ZtFNrn = IDJ2eXGCBCDu.reshape(uIRUM5ZtFNrn, DOHNiot_L9BX)
xafqLlk3kkUe(uIRUM5ZtFNrn, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\x94\xf2\xdaY\x0e\xb2FN'), '\x64' + chr(0b10111 + 0o116) + '\x63' + '\x6f' + chr(4222 - 4122) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b.a.get_shape(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\x82\xd9\xe9C\x15\xa7'), chr(0b1100100) + chr(101) + chr(6785 - 6686) + chr(6812 - 6701) + '\x64' + chr(0b11000 + 0o115))(chr(0b1110101) + chr(116) + '\x66' + chr(1152 - 1107) + chr(56)))()[:-ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49), 8)] + [xafqLlk3kkUe(oVre8I6UXc3b.b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\x94\xf2\xdaY\x0e\xb2FN'), '\144' + chr(0b1100101) + chr(0b110000 + 0o63) + '\x6f' + chr(100) + '\x65')(chr(0b100001 + 0o124) + '\164' + chr(0b11101 + 0o111) + chr(0b101101) + chr(74 - 18)))()[ehT0Px3KOsy9(chr(48) + chr(111) + chr(1764 - 1716), 8)]])
return uIRUM5ZtFNrn
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
WeightNorm._compute_weights
|
def _compute_weights(self):
"""Generate weights with normalization."""
with tf.variable_scope("compute_weights"):
self.layer.kernel = tf.nn.l2_normalize(
self.layer.v, axis=self.norm_axes) * self.layer.g
|
python
|
def _compute_weights(self):
"""Generate weights with normalization."""
with tf.variable_scope("compute_weights"):
self.layer.kernel = tf.nn.l2_normalize(
self.layer.v, axis=self.norm_axes) * self.layer.g
|
[
"def",
"_compute_weights",
"(",
"self",
")",
":",
"with",
"tf",
".",
"variable_scope",
"(",
"\"compute_weights\"",
")",
":",
"self",
".",
"layer",
".",
"kernel",
"=",
"tf",
".",
"nn",
".",
"l2_normalize",
"(",
"self",
".",
"layer",
".",
"v",
",",
"axis",
"=",
"self",
".",
"norm_axes",
")",
"*",
"self",
".",
"layer",
".",
"g"
] |
Generate weights with normalization.
|
[
"Generate",
"weights",
"with",
"normalization",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L4089-L4093
|
train
|
Generate weights with normalization.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + '\065' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(55) + chr(0b1001 + 0o51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101010 + 0o5) + '\x32' + chr(0b110101) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\061' + chr(0b11101 + 0o31), 0b1000), ehT0Px3KOsy9(chr(2196 - 2148) + chr(0b1101111) + '\061' + chr(0b110011) + chr(0b1100 + 0o45), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\060' + chr(2099 - 2047), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11110 + 0o25) + chr(0b1001 + 0o50) + chr(932 - 880), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\064' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(9897 - 9786) + chr(932 - 881) + chr(1289 - 1240) + '\x34', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b10110 + 0o32) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b101010 + 0o13) + chr(0b110010 + 0o5), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(49) + chr(1868 - 1818), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5299 - 5188) + chr(51) + chr(489 - 438) + chr(0b11011 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(0b110011) + chr(52) + chr(673 - 618), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b10100 + 0o35) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(9292 - 9181) + '\063', 0o10), ehT0Px3KOsy9(chr(1325 - 1277) + chr(0b1101111) + chr(1073 - 1024) + chr(0b110110) + chr(496 - 446), 24732 - 24724), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001 + 0o1) + chr(0b101000 + 0o16) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101000 + 0o7) + chr(360 - 311) + '\x32' + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101110 + 0o5) + '\x30' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2730 - 2619) + chr(0b1100 + 0o46) + '\062', 9188 - 9180), ehT0Px3KOsy9(chr(0b110000) + chr(10671 - 10560) + chr(0b11101 + 0o24) + chr(50) + chr(52), 14532 - 14524), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + '\x32' + '\061' + '\065', 3415 - 3407), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(770 - 717) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + chr(0b101 + 0o60), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\x34' + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\065' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(873 - 822) + chr(0b110101) + chr(0b10 + 0o65), 6887 - 6879), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11 + 0o57) + chr(48) + '\x36', 4257 - 4249), ehT0Px3KOsy9('\x30' + chr(8511 - 8400) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(2152 - 2041) + chr(0b110011) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + chr(0b11100 + 0o27) + '\x32' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(2876 - 2822) + chr(2391 - 2337), ord("\x08")), ehT0Px3KOsy9(chr(1352 - 1304) + '\157' + '\x33' + chr(53) + chr(0b110001), 29126 - 29118), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b110101) + '\x34', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(920 - 869) + '\066' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1530 - 1482) + '\157' + chr(0b0 + 0o63) + chr(2011 - 1958) + '\065', 16390 - 16382), ehT0Px3KOsy9('\060' + chr(9088 - 8977) + chr(0b110001) + chr(0b100111 + 0o17) + chr(2411 - 2361), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(946 - 893) + chr(214 - 166), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x06'), chr(1442 - 1342) + chr(4413 - 4312) + '\x63' + '\157' + chr(100) + chr(0b1100101))(chr(0b11111 + 0o126) + chr(0b1010111 + 0o35) + chr(0b1100110) + chr(0b101101) + chr(1481 - 1425)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def YYquiZ9Hwa9D(oVre8I6UXc3b):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b"^[\xdf'8\xe6\xa0\xc5S\xbf\xa5\x00\xfa\xbd"), '\x64' + chr(101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(0b1000100 + 0o41))('\165' + chr(0b1110100) + chr(102) + '\x2d' + chr(0b1100 + 0o54)))(xafqLlk3kkUe(SXOLrMavuUCe(b'KU\xc0>,\xf0\xa9\xff{\xa9\xaf\x08\xe2\xacf'), '\144' + chr(0b1010101 + 0o20) + chr(0b1000 + 0o133) + chr(0b1101111) + chr(0b1100100) + chr(0b11010 + 0o113))(chr(117) + '\x74' + chr(0b1100011 + 0o3) + chr(0b101101) + '\x38')):
oVre8I6UXc3b.layer.iaILEoszmqXb = IDJ2eXGCBCDu.nn.l2_normalize(oVre8I6UXc3b.layer.v, axis=oVre8I6UXc3b.norm_axes) * oVre8I6UXc3b.layer.RWHpzFEeviFP
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
WeightNorm._init_norm
|
def _init_norm(self, weights):
"""Set the norm of the weight vector."""
with tf.variable_scope("init_norm"):
flat = tf.reshape(weights, [-1, self.layer_depth])
return tf.reshape(tf.norm(flat, axis=0), (self.layer_depth,))
|
python
|
def _init_norm(self, weights):
"""Set the norm of the weight vector."""
with tf.variable_scope("init_norm"):
flat = tf.reshape(weights, [-1, self.layer_depth])
return tf.reshape(tf.norm(flat, axis=0), (self.layer_depth,))
|
[
"def",
"_init_norm",
"(",
"self",
",",
"weights",
")",
":",
"with",
"tf",
".",
"variable_scope",
"(",
"\"init_norm\"",
")",
":",
"flat",
"=",
"tf",
".",
"reshape",
"(",
"weights",
",",
"[",
"-",
"1",
",",
"self",
".",
"layer_depth",
"]",
")",
"return",
"tf",
".",
"reshape",
"(",
"tf",
".",
"norm",
"(",
"flat",
",",
"axis",
"=",
"0",
")",
",",
"(",
"self",
".",
"layer_depth",
",",
")",
")"
] |
Set the norm of the weight vector.
|
[
"Set",
"the",
"norm",
"of",
"the",
"weight",
"vector",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L4095-L4099
|
train
|
Set the norm of the weight vector.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(1537 - 1426) + chr(0b110101) + '\x33', 0o10), ehT0Px3KOsy9(chr(1462 - 1414) + '\157' + '\063' + chr(0b110111) + chr(0b110100), 15556 - 15548), ehT0Px3KOsy9('\x30' + chr(4445 - 4334) + chr(0b10111 + 0o32) + '\062' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101110 + 0o3) + '\066' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101100 + 0o3) + chr(50) + chr(0b10 + 0o63) + chr(1406 - 1356), 0o10), ehT0Px3KOsy9(chr(1911 - 1863) + chr(111) + chr(0b110001) + chr(0b100001 + 0o17) + chr(2343 - 2292), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1695 - 1584) + chr(51) + chr(0b110 + 0o56) + '\060', 0o10), ehT0Px3KOsy9(chr(1953 - 1905) + '\x6f' + '\x33' + chr(52) + chr(0b10010 + 0o37), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(0b110010 + 0o3) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\x31' + '\062' + '\064', 8), ehT0Px3KOsy9(chr(1848 - 1800) + '\x6f' + chr(0b101000 + 0o13) + '\064' + '\x37', 60650 - 60642), ehT0Px3KOsy9('\x30' + chr(11091 - 10980) + chr(51) + '\x30' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101101 + 0o6) + chr(0b1001 + 0o51) + chr(0b101 + 0o60), 56748 - 56740), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10100 + 0o37) + '\x35' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101101 + 0o4) + '\x33' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1068 - 1020) + chr(0b1101111) + '\x36' + '\x32', 8689 - 8681), ehT0Px3KOsy9(chr(862 - 814) + chr(0b1101111) + chr(0b101110 + 0o3) + chr(50) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10594 - 10483) + chr(53) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b110 + 0o56) + chr(0b110100), 11025 - 11017), ehT0Px3KOsy9(chr(48) + chr(6582 - 6471) + '\062' + chr(55) + chr(1211 - 1159), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + '\x33' + '\x31' + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1527 - 1476) + chr(0b1010 + 0o54) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1206 - 1158) + chr(111) + '\x34' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2483 - 2433) + '\067' + '\065', 0o10), ehT0Px3KOsy9(chr(2147 - 2099) + chr(0b1101111) + chr(0b101001 + 0o12) + chr(0b110010) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6257 - 6146) + chr(0b11010 + 0o31) + chr(54) + chr(757 - 702), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x31' + chr(0b11000 + 0o31), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(643 - 532) + chr(2293 - 2244) + '\066' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(221 - 171) + chr(0b1 + 0o60) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2110 - 2060) + chr(1072 - 1023) + '\060', 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + '\062' + chr(1749 - 1701) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b101 + 0o152) + '\061' + chr(50), 50005 - 49997), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1011 + 0o46) + '\x34' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(48) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(1650 - 1600) + chr(0b110000) + chr(0b101111 + 0o7), 0o10), ehT0Px3KOsy9(chr(2290 - 2242) + '\x6f' + chr(0b100001 + 0o22) + chr(0b110000 + 0o4) + '\x34', 27926 - 27918), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(55) + chr(1178 - 1127), 44062 - 44054), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\064' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10010 + 0o37) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(9984 - 9873) + '\x32' + '\x35' + '\x37', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + '\065' + chr(0b11 + 0o55), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x05'), chr(2634 - 2534) + chr(0b1011001 + 0o14) + '\143' + '\157' + chr(0b111111 + 0o45) + '\x65')('\x75' + chr(0b1101011 + 0o11) + '\x66' + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Uf897TIhDWWI(oVre8I6UXc3b, ZurHTci57aXw):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b"]\x9d&\x1f\xcb!\x8c\x84\xb4'\x84\xa8\xa5\x8f"), chr(5625 - 5525) + chr(8144 - 8043) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1100110 + 0o17) + chr(0b1110100) + '\x66' + chr(0b11011 + 0o22) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'B\x92=\x02\xf5-\x8f\x93\x86'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\157' + '\x64' + chr(0b1000101 + 0o40))(chr(117) + '\x74' + chr(4298 - 4196) + '\x2d' + '\070')):
UoqalBizu_O1 = IDJ2eXGCBCDu.reshape(ZurHTci57aXw, [-ehT0Px3KOsy9('\x30' + '\x6f' + chr(546 - 497), 11645 - 11637), oVre8I6UXc3b.layer_depth])
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b"Y\x99'\x1e\xcb3\x85"), '\x64' + chr(0b1000001 + 0o44) + chr(3942 - 3843) + chr(0b1101111) + chr(0b1011001 + 0o13) + chr(10076 - 9975))(chr(117) + chr(0b111110 + 0o66) + chr(102) + chr(0b10110 + 0o27) + '\070'))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'N\xa8\x1b\x01\xe5\x1b\x92\x82\x80\x05\x89\xb4'), chr(100) + chr(0b0 + 0o145) + chr(0b1000100 + 0o37) + '\157' + '\144' + chr(101))(chr(7570 - 7453) + chr(0b1110 + 0o146) + '\146' + chr(45) + chr(0b10100 + 0o44)))(UoqalBizu_O1, axis=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100 + 0o54), 34106 - 34098)), (xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'G\x9d-\x13\xd8\x1c\x84\x84\x9b \x8f'), '\144' + chr(0b110101 + 0o60) + chr(0b1010010 + 0o21) + chr(0b1000011 + 0o54) + chr(0b1000100 + 0o40) + chr(4582 - 4481))(chr(117) + chr(0b1100011 + 0o21) + '\146' + chr(1828 - 1783) + chr(56))),))
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
WeightNorm._data_dep_init
|
def _data_dep_init(self, inputs):
"""Data dependent initialization for eager execution."""
with tf.variable_scope("data_dep_init"):
# Generate data dependent init values
activation = self.layer.activation
self.layer.activation = None
x_init = self.layer.call(inputs)
m_init, v_init = tf.moments(x_init, self.norm_axes)
scale_init = 1. / tf.sqrt(v_init + 1e-10)
# Assign data dependent init values
self.layer.g = self.layer.g * scale_init
self.layer.bias = (-m_init * scale_init)
self.layer.activation = activation
self.initialized = True
|
python
|
def _data_dep_init(self, inputs):
"""Data dependent initialization for eager execution."""
with tf.variable_scope("data_dep_init"):
# Generate data dependent init values
activation = self.layer.activation
self.layer.activation = None
x_init = self.layer.call(inputs)
m_init, v_init = tf.moments(x_init, self.norm_axes)
scale_init = 1. / tf.sqrt(v_init + 1e-10)
# Assign data dependent init values
self.layer.g = self.layer.g * scale_init
self.layer.bias = (-m_init * scale_init)
self.layer.activation = activation
self.initialized = True
|
[
"def",
"_data_dep_init",
"(",
"self",
",",
"inputs",
")",
":",
"with",
"tf",
".",
"variable_scope",
"(",
"\"data_dep_init\"",
")",
":",
"# Generate data dependent init values",
"activation",
"=",
"self",
".",
"layer",
".",
"activation",
"self",
".",
"layer",
".",
"activation",
"=",
"None",
"x_init",
"=",
"self",
".",
"layer",
".",
"call",
"(",
"inputs",
")",
"m_init",
",",
"v_init",
"=",
"tf",
".",
"moments",
"(",
"x_init",
",",
"self",
".",
"norm_axes",
")",
"scale_init",
"=",
"1.",
"/",
"tf",
".",
"sqrt",
"(",
"v_init",
"+",
"1e-10",
")",
"# Assign data dependent init values",
"self",
".",
"layer",
".",
"g",
"=",
"self",
".",
"layer",
".",
"g",
"*",
"scale_init",
"self",
".",
"layer",
".",
"bias",
"=",
"(",
"-",
"m_init",
"*",
"scale_init",
")",
"self",
".",
"layer",
".",
"activation",
"=",
"activation",
"self",
".",
"initialized",
"=",
"True"
] |
Data dependent initialization for eager execution.
|
[
"Data",
"dependent",
"initialization",
"for",
"eager",
"execution",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L4101-L4116
|
train
|
Data dependent initialization for eager execution.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1650 - 1602) + '\x6f' + chr(0b100111 + 0o13) + chr(0b111 + 0o57) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(1600 - 1547) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1389 - 1334) + chr(0b101101 + 0o3), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + '\x33' + '\064' + chr(0b10110 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\x32' + chr(0b1010 + 0o53), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1000011 + 0o54) + '\061' + '\065' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001000 + 0o47) + '\x33' + chr(0b111 + 0o51) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x34' + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(1828 - 1777) + '\067', 0b1000), ehT0Px3KOsy9(chr(2145 - 2097) + '\157' + '\x33' + chr(0b1001 + 0o47) + chr(0b11011 + 0o33), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + chr(1104 - 1055) + '\x33' + chr(769 - 721), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2335 - 2224) + chr(0b11100 + 0o27) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11001 + 0o126) + '\x32' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1100011 + 0o14) + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1000 + 0o51) + '\x37' + chr(0b110 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1736 - 1687) + chr(0b1011 + 0o46) + chr(0b11011 + 0o33), 62658 - 62650), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b110 + 0o56) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\061' + chr(0b11 + 0o60), 0o10), ehT0Px3KOsy9(chr(48) + chr(8671 - 8560) + chr(935 - 885) + '\x32' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\064' + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(7660 - 7549) + '\061' + chr(2291 - 2240) + chr(0b11111 + 0o27), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1324 - 1275) + chr(0b110101) + '\x35', 330 - 322), ehT0Px3KOsy9(chr(2209 - 2161) + '\157' + chr(2609 - 2554) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\061' + chr(0b110110), 8), ehT0Px3KOsy9(chr(1179 - 1131) + chr(111) + chr(51) + chr(0b10010 + 0o41), 8), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b110101) + chr(0b110110 + 0o1), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(1244 - 1194) + '\062', 39098 - 39090), ehT0Px3KOsy9(chr(2246 - 2198) + chr(111) + chr(0b110010) + chr(49) + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x34' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10111 + 0o32) + '\067' + '\064', 20943 - 20935), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(51) + chr(600 - 546) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010010 + 0o35) + chr(49) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(11886 - 11775) + chr(0b110001) + '\x37' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(49) + '\x34' + chr(0b110011), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(1756 - 1707) + chr(0b110110) + chr(0b110111), 10403 - 10395), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(0b10110 + 0o35) + chr(0b10 + 0o64), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + '\062' + chr(0b110100) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(1867 - 1819) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11097 - 10986) + '\062' + chr(0b110110) + chr(0b110110), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(676 - 628) + '\157' + '\x35' + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e'), '\x64' + '\x65' + chr(0b1001111 + 0o24) + '\157' + chr(100) + chr(0b1000111 + 0o36))('\165' + '\x74' + chr(0b1100110) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def QTw6FqgVKklP(oVre8I6UXc3b, vXoupepMtCXU):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xcdJ\x89\xb4\x0c\xaaF\xc0\xb5d7ks'), chr(0b110000 + 0o64) + chr(5381 - 5280) + chr(0b110110 + 0o55) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + chr(0b1000110 + 0o40) + chr(1520 - 1475) + chr(2033 - 1977)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xcdL\x81\x8a\n\xa3S\xc0\xafi1o'), chr(5424 - 5324) + '\x65' + '\x63' + '\x6f' + chr(100) + chr(9850 - 9749))(chr(0b1110101) + '\164' + '\x66' + chr(45) + chr(0b111000))):
_GyOifGFZyk1 = oVre8I6UXc3b.layer._GyOifGFZyk1
oVre8I6UXc3b.layer._GyOifGFZyk1 = None
tjgAyfOlFyyO = oVre8I6UXc3b.layer.call(vXoupepMtCXU)
(LDMEcsq7JcQx, Y8KO1sA4x9Js) = IDJ2eXGCBCDu.moments(tjgAyfOlFyyO, oVre8I6UXc3b.norm_axes)
IKRWOW5tDAbP = 1.0 / IDJ2eXGCBCDu.sqrt(Y8KO1sA4x9Js + 1e-10)
oVre8I6UXc3b.layer.RWHpzFEeviFP = oVre8I6UXc3b.layer.RWHpzFEeviFP * IKRWOW5tDAbP
oVre8I6UXc3b.layer.IKTrMTySqz10 = -LDMEcsq7JcQx * IKRWOW5tDAbP
oVre8I6UXc3b.layer._GyOifGFZyk1 = _GyOifGFZyk1
oVre8I6UXc3b.i4J72XzKc3hf = ehT0Px3KOsy9('\x30' + '\157' + chr(0b1101 + 0o44), 8)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
WeightNorm.build
|
def build(self, input_shape=None):
"""Build `Layer`."""
input_shape = tf.TensorShape(input_shape).as_list()
self.input_spec = layers().InputSpec(shape=input_shape)
if not self.layer.built:
self.layer.build(input_shape)
self.layer.built = False
if not hasattr(self.layer, "kernel"):
raise ValueError("`WeightNorm` must wrap a layer that"
" contains a `kernel` for weights")
# The kernel's filter or unit dimension is -1
self.layer_depth = int(self.layer.kernel.shape[-1])
self.norm_axes = list(range(self.layer.kernel.shape.ndims - 1))
self.layer.v = self.layer.kernel
self.layer.g = self.layer.add_variable(
name="g",
shape=(self.layer_depth,),
initializer=tf.ones_initializer,
dtype=self.layer.kernel.dtype,
trainable=True)
# with ops.control_dependencies([self.layer.g.assign(
# self._init_norm(self.layer.v))]):
# self._compute_weights()
self._compute_weights()
self.layer.built = True
super(WeightNorm, self).build()
self.built = True
|
python
|
def build(self, input_shape=None):
"""Build `Layer`."""
input_shape = tf.TensorShape(input_shape).as_list()
self.input_spec = layers().InputSpec(shape=input_shape)
if not self.layer.built:
self.layer.build(input_shape)
self.layer.built = False
if not hasattr(self.layer, "kernel"):
raise ValueError("`WeightNorm` must wrap a layer that"
" contains a `kernel` for weights")
# The kernel's filter or unit dimension is -1
self.layer_depth = int(self.layer.kernel.shape[-1])
self.norm_axes = list(range(self.layer.kernel.shape.ndims - 1))
self.layer.v = self.layer.kernel
self.layer.g = self.layer.add_variable(
name="g",
shape=(self.layer_depth,),
initializer=tf.ones_initializer,
dtype=self.layer.kernel.dtype,
trainable=True)
# with ops.control_dependencies([self.layer.g.assign(
# self._init_norm(self.layer.v))]):
# self._compute_weights()
self._compute_weights()
self.layer.built = True
super(WeightNorm, self).build()
self.built = True
|
[
"def",
"build",
"(",
"self",
",",
"input_shape",
"=",
"None",
")",
":",
"input_shape",
"=",
"tf",
".",
"TensorShape",
"(",
"input_shape",
")",
".",
"as_list",
"(",
")",
"self",
".",
"input_spec",
"=",
"layers",
"(",
")",
".",
"InputSpec",
"(",
"shape",
"=",
"input_shape",
")",
"if",
"not",
"self",
".",
"layer",
".",
"built",
":",
"self",
".",
"layer",
".",
"build",
"(",
"input_shape",
")",
"self",
".",
"layer",
".",
"built",
"=",
"False",
"if",
"not",
"hasattr",
"(",
"self",
".",
"layer",
",",
"\"kernel\"",
")",
":",
"raise",
"ValueError",
"(",
"\"`WeightNorm` must wrap a layer that\"",
"\" contains a `kernel` for weights\"",
")",
"# The kernel's filter or unit dimension is -1",
"self",
".",
"layer_depth",
"=",
"int",
"(",
"self",
".",
"layer",
".",
"kernel",
".",
"shape",
"[",
"-",
"1",
"]",
")",
"self",
".",
"norm_axes",
"=",
"list",
"(",
"range",
"(",
"self",
".",
"layer",
".",
"kernel",
".",
"shape",
".",
"ndims",
"-",
"1",
")",
")",
"self",
".",
"layer",
".",
"v",
"=",
"self",
".",
"layer",
".",
"kernel",
"self",
".",
"layer",
".",
"g",
"=",
"self",
".",
"layer",
".",
"add_variable",
"(",
"name",
"=",
"\"g\"",
",",
"shape",
"=",
"(",
"self",
".",
"layer_depth",
",",
")",
",",
"initializer",
"=",
"tf",
".",
"ones_initializer",
",",
"dtype",
"=",
"self",
".",
"layer",
".",
"kernel",
".",
"dtype",
",",
"trainable",
"=",
"True",
")",
"# with ops.control_dependencies([self.layer.g.assign(",
"# self._init_norm(self.layer.v))]):",
"# self._compute_weights()",
"self",
".",
"_compute_weights",
"(",
")",
"self",
".",
"layer",
".",
"built",
"=",
"True",
"super",
"(",
"WeightNorm",
",",
"self",
")",
".",
"build",
"(",
")",
"self",
".",
"built",
"=",
"True"
] |
Build `Layer`.
|
[
"Build",
"Layer",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L4118-L4151
|
train
|
Build a WeightNorm layer.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + '\062' + '\x33' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(2087 - 1976) + chr(0b110011) + chr(0b110011) + chr(0b10101 + 0o41), 55177 - 55169), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(53) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1333 - 1284) + '\060' + chr(188 - 136), 50705 - 50697), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\x37' + chr(1034 - 983), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + chr(0b110011) + chr(2305 - 2253) + chr(0b100100 + 0o16), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(54) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110111) + chr(55), 0b1000), ehT0Px3KOsy9(chr(274 - 226) + '\157' + chr(651 - 602) + chr(178 - 128) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(899 - 851) + chr(1616 - 1505) + chr(0b10110 + 0o40) + chr(1952 - 1904), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1111 + 0o140) + chr(571 - 521) + '\067' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2199 - 2088) + '\062' + '\067' + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b110000) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7963 - 7852) + chr(50) + chr(863 - 810) + chr(1970 - 1918), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(856 - 807) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(1096 - 1042) + chr(0b110100 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(2105 - 2057) + '\x6f' + chr(51), 44382 - 44374), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(489 - 436) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\066', 45089 - 45081), ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + chr(0b101001 + 0o13) + chr(1375 - 1324), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000 + 0o2) + chr(0b110010) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1536 - 1486) + chr(0b110101) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\x30' + chr(2506 - 2453), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110100) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + '\x33' + chr(0b110110) + chr(0b10010 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(2115 - 2064) + '\x37' + chr(0b10111 + 0o35), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\063' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(2144 - 2096) + chr(11729 - 11618) + '\x32' + chr(0b110110) + chr(0b10111 + 0o36), 13092 - 13084), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b101000 + 0o107) + chr(1010 - 959) + '\x35' + '\067', 39309 - 39301), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(51), 51657 - 51649), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b110011), 12439 - 12431), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b110010) + chr(0b110001 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110000 + 0o1) + chr(48) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11698 - 11587) + '\x33' + '\060' + chr(970 - 922), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b11100 + 0o25) + chr(754 - 699), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110110), 55740 - 55732), ehT0Px3KOsy9(chr(48) + chr(11824 - 11713) + '\x31' + '\x37' + chr(1235 - 1184), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b101 + 0o53) + chr(1540 - 1491), ord("\x08")), ehT0Px3KOsy9(chr(1600 - 1552) + chr(0b111000 + 0o67) + chr(0b110010) + '\065' + chr(53), 2998 - 2990)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\065' + chr(1042 - 994), 41917 - 41909)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6'), '\144' + chr(0b1000001 + 0o44) + chr(622 - 523) + chr(111) + '\144' + chr(0b1100010 + 0o3))('\x75' + chr(10914 - 10798) + chr(102) + chr(1016 - 971) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def TQHveekdSVRw(oVre8I6UXc3b, tANyZeuTfu5y=None):
tANyZeuTfu5y = IDJ2eXGCBCDu.TensorShape(tANyZeuTfu5y).as_list()
oVre8I6UXc3b.iV51P3TqTZH5 = sGi5Aql23May().InputSpec(shape=tANyZeuTfu5y)
if not xafqLlk3kkUe(oVre8I6UXc3b.layer, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xab\xc7(p'), '\x64' + '\145' + '\143' + '\x6f' + chr(100) + '\145')('\x75' + '\x74' + chr(102) + chr(1991 - 1946) + '\x38')):
xafqLlk3kkUe(oVre8I6UXc3b.layer, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xab\xc7(`'), chr(3391 - 3291) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(117) + '\x74' + '\146' + chr(45) + chr(0b111000)))(tANyZeuTfu5y)
oVre8I6UXc3b.layer.geGSPFb_adJJ = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000 + 0o0), 33103 - 33095)
if not lot1PSoAwYhj(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xb9\xcf)J\xf3\x92\x03\x0c%h\xd0'), chr(3253 - 3153) + chr(101) + '\143' + chr(111) + chr(7123 - 7023) + chr(101))(chr(0b1001110 + 0o47) + chr(7181 - 7065) + chr(0b1000010 + 0o44) + chr(1164 - 1119) + chr(0b100110 + 0o22))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xbb\xdc*a\xd7'), chr(0b1100100) + chr(5190 - 5089) + chr(99) + chr(8025 - 7914) + chr(0b1100 + 0o130) + chr(101))(chr(0b1110101) + '\164' + chr(102) + chr(0b1111 + 0o36) + chr(0b111000))):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b"\xf8\x89\xcb-c\xd3\x96=\x10']\xda\x98\xab\xd9\xba\xc3#\x1e|B\xe1\x89\xa4\x05\x9f\x9d\xe2\xd0\x9d+o\xfb#\xb4oe\x14\xef\xd9\xf9\xb7\xc07$\xda\xc2\x13\x140B\xd4\xdd\xaa\xcc\xe9\xd1l\x1b.T\xf4\xc0\xa2M\x87\x8f"), '\x64' + chr(101) + chr(6260 - 6161) + chr(0b1101111) + chr(3168 - 3068) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1010010 + 0o24) + '\055' + '\x38'))
oVre8I6UXc3b.lKXcZzdRuBRj = ehT0Px3KOsy9(oVre8I6UXc3b.layer.kernel.nauYfLglTpcb[-ehT0Px3KOsy9(chr(2164 - 2116) + chr(0b101111 + 0o100) + chr(0b101001 + 0o10), 0b1000)])
oVre8I6UXc3b.Ir0uPOkcmEAS = YyaZ4tpXu4lf(vQr8gNKaIaWE(oVre8I6UXc3b.layer.kernel.shape.ndims - ehT0Px3KOsy9(chr(392 - 344) + chr(6604 - 6493) + chr(49), 8)))
oVre8I6UXc3b.layer.cMbll0QYhULo = oVre8I6UXc3b.layer.iaILEoszmqXb
oVre8I6UXc3b.layer.RWHpzFEeviFP = oVre8I6UXc3b.layer.add_variable(name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xff'), chr(0b110011 + 0o61) + chr(8249 - 8148) + chr(6620 - 6521) + chr(4108 - 3997) + chr(0b1100100) + chr(0b1100101))(chr(0b101000 + 0o115) + chr(0b100101 + 0o117) + '\x66' + chr(0b1010 + 0o43) + chr(0b111000)), shape=(oVre8I6UXc3b.lKXcZzdRuBRj,), initializer=IDJ2eXGCBCDu.ones_initializer, dtype=oVre8I6UXc3b.layer.kernel.jSV9IKnemH7K, trainable=ehT0Px3KOsy9(chr(1536 - 1488) + chr(111) + '\x31', 8))
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xbd\xc1)t\xce\x96\x16 "U\xd3\xdf\xae\xd8\xba'), chr(0b110001 + 0o63) + chr(0b10101 + 0o120) + chr(9565 - 9466) + chr(111) + chr(0b1000001 + 0o43) + chr(101))('\x75' + chr(0b110100 + 0o100) + '\x66' + chr(0b1100 + 0o41) + chr(1636 - 1580)))()
oVre8I6UXc3b.layer.geGSPFb_adJJ = ehT0Px3KOsy9(chr(48) + chr(10115 - 10004) + chr(49), 8)
xafqLlk3kkUe(KNx0Ujaz9UM0(HA2RXWTizs3O, oVre8I6UXc3b), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xab\xc7(`'), '\144' + chr(0b1100101) + chr(358 - 259) + '\157' + '\x64' + chr(5794 - 5693))(chr(0b1110101) + chr(0b1110100) + chr(633 - 531) + '\055' + chr(56)))()
oVre8I6UXc3b.geGSPFb_adJJ = ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 8)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_layers.py
|
WeightNorm.call
|
def call(self, inputs):
"""Call `Layer`."""
# if context.executing_eagerly():
# if not self.initialized:
# self._data_dep_init(inputs)
self._compute_weights() # Recompute weights for each forward pass
output = self.layer.call(inputs)
return output
|
python
|
def call(self, inputs):
"""Call `Layer`."""
# if context.executing_eagerly():
# if not self.initialized:
# self._data_dep_init(inputs)
self._compute_weights() # Recompute weights for each forward pass
output = self.layer.call(inputs)
return output
|
[
"def",
"call",
"(",
"self",
",",
"inputs",
")",
":",
"# if context.executing_eagerly():",
"# if not self.initialized:",
"# self._data_dep_init(inputs)",
"self",
".",
"_compute_weights",
"(",
")",
"# Recompute weights for each forward pass",
"output",
"=",
"self",
".",
"layer",
".",
"call",
"(",
"inputs",
")",
"return",
"output"
] |
Call `Layer`.
|
[
"Call",
"Layer",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_layers.py#L4153-L4161
|
train
|
Call the Layer.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(876 - 828) + chr(0b1100 + 0o143) + chr(558 - 507) + '\061' + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\063' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + chr(0b110001 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110 + 0o55) + chr(0b11011 + 0o30) + chr(50), 1421 - 1413), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(48) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\067' + '\062', 12126 - 12118), ehT0Px3KOsy9(chr(1945 - 1897) + chr(0b1101111) + '\062' + chr(0b110001 + 0o3) + '\x36', 21583 - 21575), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(2085 - 2035) + chr(0b110110) + chr(0b110010), 47103 - 47095), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(440 - 390) + chr(0b110110) + chr(0b100 + 0o54), 1341 - 1333), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(0b110001) + '\065' + '\066', 44498 - 44490), ehT0Px3KOsy9(chr(1230 - 1182) + chr(0b1101111) + chr(0b11110 + 0o25) + '\x30' + chr(2470 - 2416), 37446 - 37438), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(54) + chr(0b100 + 0o62), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11011 + 0o26) + chr(0b10101 + 0o35) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(2977 - 2866) + chr(1333 - 1282) + '\x31' + chr(1628 - 1576), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(1576 - 1528) + '\066', 8), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(1814 - 1762) + chr(0b1010 + 0o52), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(415 - 304) + chr(0b110001) + '\x34' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(0b100110 + 0o20) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(943 - 895), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + '\067' + chr(0b10100 + 0o41), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b1100 + 0o51) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + chr(1207 - 1156) + chr(50) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(671 - 619) + chr(2540 - 2486), 0b1000), ehT0Px3KOsy9('\x30' + chr(10905 - 10794) + chr(2432 - 2380) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(5137 - 5026) + chr(52) + chr(1927 - 1877), 8), ehT0Px3KOsy9('\060' + chr(8812 - 8701) + chr(51) + '\067' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(1043 - 992), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + chr(916 - 867) + chr(0b11111 + 0o25), 29523 - 29515), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b1000 + 0o55) + chr(0b1110 + 0o43), 0o10), ehT0Px3KOsy9(chr(359 - 311) + chr(11875 - 11764) + '\061' + '\064' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1890 - 1842) + '\157' + chr(0b110110) + chr(50), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101011 + 0o7) + chr(0b110100) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(50) + chr(1463 - 1409), 58578 - 58570), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1814 - 1763) + chr(0b110110) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100100 + 0o13) + chr(0b110001) + chr(0b110101) + chr(50), 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b111110 + 0o61) + chr(0b110001) + chr(0b110111) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(53) + chr(2179 - 2125), 8), ehT0Px3KOsy9(chr(618 - 570) + '\157' + '\063' + chr(0b110000) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3326 - 3215) + chr(0b110011) + chr(53) + chr(0b101000 + 0o14), 0o10), ehT0Px3KOsy9(chr(1339 - 1291) + chr(0b110111 + 0o70) + '\060', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(929 - 876) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0'), chr(100) + '\x65' + chr(0b1100011) + chr(251 - 140) + chr(3711 - 3611) + chr(733 - 632))(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def yty8SpL8o6wD(oVre8I6UXc3b, vXoupepMtCXU):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\xbcR\xb72\xcf\xd2\xd7\xef\x19\xa3\xdf1\xa4\xb2\xd7'), '\x64' + chr(0b100111 + 0o76) + '\x63' + '\157' + chr(0b1100100) + chr(6397 - 6296))(chr(11974 - 11857) + '\164' + chr(0b1100110) + chr(0b1010 + 0o43) + chr(56)))()
e1jVqMSBZ01Y = oVre8I6UXc3b.layer.call(vXoupepMtCXU)
return e1jVqMSBZ01Y
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/rl_utils.py
|
compute_mean_reward
|
def compute_mean_reward(rollouts, clipped):
"""Calculate mean rewards from given epoch."""
reward_name = "reward" if clipped else "unclipped_reward"
rewards = []
for rollout in rollouts:
if rollout[-1].done:
rollout_reward = sum(getattr(frame, reward_name) for frame in rollout)
rewards.append(rollout_reward)
if rewards:
mean_rewards = np.mean(rewards)
else:
mean_rewards = 0
return mean_rewards
|
python
|
def compute_mean_reward(rollouts, clipped):
"""Calculate mean rewards from given epoch."""
reward_name = "reward" if clipped else "unclipped_reward"
rewards = []
for rollout in rollouts:
if rollout[-1].done:
rollout_reward = sum(getattr(frame, reward_name) for frame in rollout)
rewards.append(rollout_reward)
if rewards:
mean_rewards = np.mean(rewards)
else:
mean_rewards = 0
return mean_rewards
|
[
"def",
"compute_mean_reward",
"(",
"rollouts",
",",
"clipped",
")",
":",
"reward_name",
"=",
"\"reward\"",
"if",
"clipped",
"else",
"\"unclipped_reward\"",
"rewards",
"=",
"[",
"]",
"for",
"rollout",
"in",
"rollouts",
":",
"if",
"rollout",
"[",
"-",
"1",
"]",
".",
"done",
":",
"rollout_reward",
"=",
"sum",
"(",
"getattr",
"(",
"frame",
",",
"reward_name",
")",
"for",
"frame",
"in",
"rollout",
")",
"rewards",
".",
"append",
"(",
"rollout_reward",
")",
"if",
"rewards",
":",
"mean_rewards",
"=",
"np",
".",
"mean",
"(",
"rewards",
")",
"else",
":",
"mean_rewards",
"=",
"0",
"return",
"mean_rewards"
] |
Calculate mean rewards from given epoch.
|
[
"Calculate",
"mean",
"rewards",
"from",
"given",
"epoch",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/rl_utils.py#L45-L57
|
train
|
Calculate mean rewards from given epoch.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(732 - 684) + '\x6f' + chr(84 - 33) + chr(55) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11066 - 10955) + chr(0b110011) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(293 - 245) + chr(0b1101111) + '\x31' + chr(0b110010) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1962 - 1912) + '\066' + '\064', 39248 - 39240), ehT0Px3KOsy9('\060' + chr(4954 - 4843) + chr(55) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9811 - 9700) + chr(0b11010 + 0o30) + '\060' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(0b0 + 0o62) + '\060', 45733 - 45725), ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + chr(0b110001) + chr(2460 - 2410) + chr(0b0 + 0o60), 18016 - 18008), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + '\x36' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + '\063' + chr(0b100110 + 0o16) + chr(1003 - 954), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(0b1110 + 0o44) + '\062' + '\x30', 36899 - 36891), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + '\067' + chr(379 - 327), 8), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101001 + 0o6) + chr(49) + chr(0b11010 + 0o26) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + '\063' + '\063' + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + '\061' + chr(51) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111110 + 0o61) + chr(0b101010 + 0o11) + chr(0b11101 + 0o25) + chr(53), 8098 - 8090), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(0b110010) + chr(0b110010) + '\x35', 0b1000), ehT0Px3KOsy9(chr(2214 - 2166) + chr(111) + '\x31' + chr(1710 - 1660) + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\062' + chr(0b110110), 34891 - 34883), ehT0Px3KOsy9(chr(815 - 767) + '\157' + chr(0b110010) + '\x31' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\x37' + chr(51), 0b1000), ehT0Px3KOsy9(chr(2190 - 2142) + '\157' + '\062' + '\062' + chr(0b110101), 8), ehT0Px3KOsy9(chr(1508 - 1460) + chr(0b1010011 + 0o34) + chr(906 - 857) + '\x30' + chr(1114 - 1064), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\x33' + chr(0b11110 + 0o30) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001010 + 0o45) + chr(1732 - 1678) + chr(0b10 + 0o63), 0o10), ehT0Px3KOsy9(chr(1180 - 1132) + chr(111) + '\063' + chr(0b110001) + chr(0b1010 + 0o51), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b10000 + 0o43) + chr(865 - 814), 42833 - 42825), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b11100 + 0o30) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(53) + chr(49), 38534 - 38526), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\064' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + '\x33' + '\066' + chr(54), 60176 - 60168), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + '\063' + chr(0b10010 + 0o44) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1775 - 1727) + chr(0b1101111) + '\x31' + chr(52), 33041 - 33033), ehT0Px3KOsy9(chr(267 - 219) + '\157' + chr(0b101001 + 0o10) + chr(0b1 + 0o63) + '\065', 25638 - 25630), ehT0Px3KOsy9('\060' + chr(6526 - 6415) + chr(829 - 779) + chr(49) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(839 - 728) + chr(0b101110 + 0o3) + chr(0b1000 + 0o50) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(51) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(806 - 695) + chr(54) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b101011 + 0o104) + chr(0b101011 + 0o7) + '\x36', 8), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b111100 + 0o63) + chr(0b110010) + '\x36' + '\062', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(4623 - 4512) + '\x35' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5'), chr(0b1100100) + chr(9163 - 9062) + chr(0b10010 + 0o121) + chr(0b110110 + 0o71) + '\x64' + chr(101))(chr(0b1101011 + 0o12) + chr(0b1110100) + chr(5401 - 5299) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def o5JbsVaUrNRa(P3dEj3797dMK, HaJ9N6N6fTwy):
YODfnFoWWNP8 = xafqLlk3kkUe(SXOLrMavuUCe(b'\x89|%\xd5N\xe5'), chr(864 - 764) + '\145' + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + chr(102) + '\x2d' + '\070') if HaJ9N6N6fTwy else xafqLlk3kkUe(SXOLrMavuUCe(b'\x8ew1\xd8U\xf1`5U\xbe\xe2Y0\xb8+\xb1'), '\x64' + chr(101) + '\143' + chr(111) + chr(0b1100100) + chr(0b10101 + 0o120))('\x75' + '\164' + chr(0b1100110) + '\x2d' + '\x38')
yrDfr6ll4Ijz = []
for t5VWs_TV1khc in P3dEj3797dMK:
if xafqLlk3kkUe(t5VWs_TV1khc[-ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(49), 3081 - 3073)], xafqLlk3kkUe(SXOLrMavuUCe(b'\x9fv<\xd1'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(2405 - 2305) + chr(2579 - 2478))(chr(680 - 563) + '\x74' + '\x66' + '\x2d' + chr(56))):
OUCZzN7DSSPh = xkxBmo49x2An((xafqLlk3kkUe(C4IqNNmLfHXB, YODfnFoWWNP8) for C4IqNNmLfHXB in t5VWs_TV1khc))
xafqLlk3kkUe(yrDfr6ll4Ijz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9ai"\xd1R\xe5'), '\144' + chr(3171 - 3070) + chr(0b1011101 + 0o6) + '\157' + '\144' + chr(101))(chr(0b1110101) + '\164' + chr(945 - 843) + chr(238 - 193) + chr(255 - 199)))(OUCZzN7DSSPh)
if yrDfr6ll4Ijz:
qCo__j074aGk = WqUC3KWvYVup.aJhItC_Vawlw(yrDfr6ll4Ijz)
else:
qCo__j074aGk = ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(634 - 523) + chr(48), 0o10)
return qCo__j074aGk
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/rl_utils.py
|
evaluate_single_config
|
def evaluate_single_config(
hparams, sampling_temp, max_num_noops, agent_model_dir,
eval_fn=_eval_fn_with_learner
):
"""Evaluate the PPO agent in the real environment."""
tf.logging.info("Evaluating metric %s", get_metric_name(
sampling_temp, max_num_noops, clipped=False
))
eval_hparams = trainer_lib.create_hparams(hparams.base_algo_params)
env = setup_env(
hparams, batch_size=hparams.eval_batch_size, max_num_noops=max_num_noops,
rl_env_max_episode_steps=hparams.eval_rl_env_max_episode_steps,
env_name=hparams.rl_env_name)
env.start_new_epoch(0)
eval_fn(env, hparams, eval_hparams, agent_model_dir, sampling_temp)
rollouts = env.current_epoch_rollouts()
env.close()
return tuple(
compute_mean_reward(rollouts, clipped) for clipped in (True, False)
)
|
python
|
def evaluate_single_config(
hparams, sampling_temp, max_num_noops, agent_model_dir,
eval_fn=_eval_fn_with_learner
):
"""Evaluate the PPO agent in the real environment."""
tf.logging.info("Evaluating metric %s", get_metric_name(
sampling_temp, max_num_noops, clipped=False
))
eval_hparams = trainer_lib.create_hparams(hparams.base_algo_params)
env = setup_env(
hparams, batch_size=hparams.eval_batch_size, max_num_noops=max_num_noops,
rl_env_max_episode_steps=hparams.eval_rl_env_max_episode_steps,
env_name=hparams.rl_env_name)
env.start_new_epoch(0)
eval_fn(env, hparams, eval_hparams, agent_model_dir, sampling_temp)
rollouts = env.current_epoch_rollouts()
env.close()
return tuple(
compute_mean_reward(rollouts, clipped) for clipped in (True, False)
)
|
[
"def",
"evaluate_single_config",
"(",
"hparams",
",",
"sampling_temp",
",",
"max_num_noops",
",",
"agent_model_dir",
",",
"eval_fn",
"=",
"_eval_fn_with_learner",
")",
":",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Evaluating metric %s\"",
",",
"get_metric_name",
"(",
"sampling_temp",
",",
"max_num_noops",
",",
"clipped",
"=",
"False",
")",
")",
"eval_hparams",
"=",
"trainer_lib",
".",
"create_hparams",
"(",
"hparams",
".",
"base_algo_params",
")",
"env",
"=",
"setup_env",
"(",
"hparams",
",",
"batch_size",
"=",
"hparams",
".",
"eval_batch_size",
",",
"max_num_noops",
"=",
"max_num_noops",
",",
"rl_env_max_episode_steps",
"=",
"hparams",
".",
"eval_rl_env_max_episode_steps",
",",
"env_name",
"=",
"hparams",
".",
"rl_env_name",
")",
"env",
".",
"start_new_epoch",
"(",
"0",
")",
"eval_fn",
"(",
"env",
",",
"hparams",
",",
"eval_hparams",
",",
"agent_model_dir",
",",
"sampling_temp",
")",
"rollouts",
"=",
"env",
".",
"current_epoch_rollouts",
"(",
")",
"env",
".",
"close",
"(",
")",
"return",
"tuple",
"(",
"compute_mean_reward",
"(",
"rollouts",
",",
"clipped",
")",
"for",
"clipped",
"in",
"(",
"True",
",",
"False",
")",
")"
] |
Evaluate the PPO agent in the real environment.
|
[
"Evaluate",
"the",
"PPO",
"agent",
"in",
"the",
"real",
"environment",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/rl_utils.py#L77-L97
|
train
|
Evaluate the PPO agent in the real environment.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b1000001 + 0o56) + chr(1944 - 1892) + chr(311 - 263), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100001 + 0o116) + chr(51) + '\x34' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(0b110 + 0o55) + chr(1678 - 1624) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\x36' + '\060', 42239 - 42231), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110111) + chr(223 - 169), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(0b101101 + 0o6) + chr(0b110100) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1525 - 1477) + '\x6f' + chr(1339 - 1290) + '\x36' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001100 + 0o43) + chr(0b110001) + chr(0b110010) + chr(0b110000 + 0o5), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\x32' + '\x36', 0b1000), ehT0Px3KOsy9(chr(1897 - 1849) + chr(0b1101111) + chr(0b110011) + chr(0b10010 + 0o45) + chr(0b110001 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2737 - 2682) + chr(1553 - 1499), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6161 - 6050) + chr(0b100111 + 0o13) + chr(49), 29633 - 29625), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(968 - 919) + '\060' + chr(2046 - 1995), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1113 - 1065) + chr(111) + chr(50) + chr(0b0 + 0o65) + '\060', 46551 - 46543), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101000 + 0o12) + chr(48) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(1311 - 1200) + chr(0b110001 + 0o0) + '\063' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(10784 - 10673) + chr(1905 - 1855) + '\x33' + chr(0b1101 + 0o44), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(323 - 273) + chr(50) + chr(0b110001), 40549 - 40541), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1210 - 1161) + chr(48) + chr(1122 - 1073), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(1753 - 1704) + chr(409 - 361), 3306 - 3298), ehT0Px3KOsy9('\060' + chr(2822 - 2711) + chr(51) + chr(2368 - 2315) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(6259 - 6148) + '\x31' + chr(55 - 2) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b100010 + 0o115) + chr(908 - 858) + chr(51) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + '\062' + chr(50) + '\x33', 29543 - 29535), ehT0Px3KOsy9(chr(0b110000) + chr(6875 - 6764) + chr(51) + chr(1835 - 1786) + chr(2019 - 1966), 40181 - 40173), ehT0Px3KOsy9('\x30' + '\x6f' + chr(676 - 627) + chr(53) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9355 - 9244) + '\063' + chr(0b101110 + 0o3) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(1489 - 1441) + chr(0b1101111) + chr(51) + chr(0b110110 + 0o1) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10 + 0o155) + chr(50) + chr(2408 - 2355) + chr(48), 8), ehT0Px3KOsy9(chr(188 - 140) + '\x6f' + chr(49) + '\x35' + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\064' + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b110010 + 0o2) + chr(0b110000), 59615 - 59607), ehT0Px3KOsy9('\x30' + chr(0b1 + 0o156) + chr(0b100110 + 0o14) + chr(0b110101) + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + chr(5053 - 4942) + '\x33' + '\067' + chr(1582 - 1527), 8), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b110010) + '\x36' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(8447 - 8336) + '\x33' + chr(504 - 449) + chr(0b110110), 8), ehT0Px3KOsy9(chr(2258 - 2210) + chr(0b1100 + 0o143) + '\x32' + '\x33' + chr(1963 - 1910), 18198 - 18190)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(0b11 + 0o62) + chr(1331 - 1283), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e'), chr(100) + chr(101) + '\143' + chr(0b1010001 + 0o36) + chr(0b110101 + 0o57) + '\x65')(chr(0b0 + 0o165) + '\164' + chr(2322 - 2220) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def qydrVnmsLzQ4(n4ljua2gi1Pr, Ep30xVZP6Jij, PNkPtpEftL3Z, TPZkpM7i650f, Og6v8y1JqxXN=p5ACv9sYIlhp):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b's\xd2\xb9\x88\x8b\x85\x142?\xba\xa3U'), chr(9888 - 9788) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b10111 + 0o115) + '\x65')(chr(0b1110101) + chr(116) + '\x66' + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'e\x93\x90\x9c\x8b\x87\x07l;\xb1\xd9St7}\xc1\xe6\x7f\xbc\xe2'), '\144' + chr(0b1110 + 0o127) + '\143' + chr(7067 - 6956) + '\144' + chr(0b1100101))(chr(0b100000 + 0o125) + chr(0b11101 + 0o127) + chr(0b1100 + 0o132) + '\055' + chr(0b111000)), MfN4aWHP3PPD(Ep30xVZP6Jij, PNkPtpEftL3Z, clipped=ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1010 + 0o46), ord("\x08"))))
x7UMB4HPukFb = KvtIAVGi33Ty.create_hparams(n4ljua2gi1Pr.eNhPLh6cTW8q)
xzsHIGfR8Ip5 = I0u_oaLYCrbw(n4ljua2gi1Pr, batch_size=n4ljua2gi1Pr.eval_batch_size, max_num_noops=PNkPtpEftL3Z, rl_env_max_episode_steps=n4ljua2gi1Pr.LwzbW31WHi53, env_name=n4ljua2gi1Pr.bi7asw5xatkK)
xafqLlk3kkUe(xzsHIGfR8Ip5, xafqLlk3kkUe(SXOLrMavuUCe(b'S\x91\x90\x82\x8a\xb9\x1d`"\x89\x9cN~ g'), chr(0b1100100) + chr(2570 - 2469) + chr(0b111010 + 0o51) + '\157' + chr(0b110 + 0o136) + chr(101))(chr(117) + chr(116) + chr(879 - 777) + '\055' + chr(0b111000)))(ehT0Px3KOsy9(chr(1665 - 1617) + chr(6144 - 6033) + '\060', 8))
Og6v8y1JqxXN(xzsHIGfR8Ip5, n4ljua2gi1Pr, x7UMB4HPukFb, TPZkpM7i650f, Ep30xVZP6Jij)
P3dEj3797dMK = xzsHIGfR8Ip5.current_epoch_rollouts()
xafqLlk3kkUe(xzsHIGfR8Ip5, xafqLlk3kkUe(SXOLrMavuUCe(b'C\x89\x9e\x83\x9b'), chr(6710 - 6610) + '\x65' + '\143' + '\157' + '\x64' + chr(101))(chr(117) + chr(0b1011000 + 0o34) + '\x66' + chr(45) + chr(0b111000)))()
return KNyTy8rYcwji((o5JbsVaUrNRa(P3dEj3797dMK, HaJ9N6N6fTwy) for HaJ9N6N6fTwy in (ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(1563 - 1452) + '\x30', 8))))
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/rl_utils.py
|
evaluate_all_configs
|
def evaluate_all_configs(
hparams, agent_model_dir, eval_fn=_eval_fn_with_learner
):
"""Evaluate the agent with multiple eval configurations."""
metrics = {}
# Iterate over all combinations of sampling temperatures and whether to do
# initial no-ops.
for sampling_temp in hparams.eval_sampling_temps:
# Iterate over a set so if eval_max_num_noops == 0 then it's 1 iteration.
for max_num_noops in set([hparams.eval_max_num_noops, 0]):
scores = evaluate_single_config(
hparams, sampling_temp, max_num_noops, agent_model_dir, eval_fn
)
for (score, clipped) in zip(scores, (True, False)):
metric_name = get_metric_name(sampling_temp, max_num_noops, clipped)
metrics[metric_name] = score
return metrics
|
python
|
def evaluate_all_configs(
hparams, agent_model_dir, eval_fn=_eval_fn_with_learner
):
"""Evaluate the agent with multiple eval configurations."""
metrics = {}
# Iterate over all combinations of sampling temperatures and whether to do
# initial no-ops.
for sampling_temp in hparams.eval_sampling_temps:
# Iterate over a set so if eval_max_num_noops == 0 then it's 1 iteration.
for max_num_noops in set([hparams.eval_max_num_noops, 0]):
scores = evaluate_single_config(
hparams, sampling_temp, max_num_noops, agent_model_dir, eval_fn
)
for (score, clipped) in zip(scores, (True, False)):
metric_name = get_metric_name(sampling_temp, max_num_noops, clipped)
metrics[metric_name] = score
return metrics
|
[
"def",
"evaluate_all_configs",
"(",
"hparams",
",",
"agent_model_dir",
",",
"eval_fn",
"=",
"_eval_fn_with_learner",
")",
":",
"metrics",
"=",
"{",
"}",
"# Iterate over all combinations of sampling temperatures and whether to do",
"# initial no-ops.",
"for",
"sampling_temp",
"in",
"hparams",
".",
"eval_sampling_temps",
":",
"# Iterate over a set so if eval_max_num_noops == 0 then it's 1 iteration.",
"for",
"max_num_noops",
"in",
"set",
"(",
"[",
"hparams",
".",
"eval_max_num_noops",
",",
"0",
"]",
")",
":",
"scores",
"=",
"evaluate_single_config",
"(",
"hparams",
",",
"sampling_temp",
",",
"max_num_noops",
",",
"agent_model_dir",
",",
"eval_fn",
")",
"for",
"(",
"score",
",",
"clipped",
")",
"in",
"zip",
"(",
"scores",
",",
"(",
"True",
",",
"False",
")",
")",
":",
"metric_name",
"=",
"get_metric_name",
"(",
"sampling_temp",
",",
"max_num_noops",
",",
"clipped",
")",
"metrics",
"[",
"metric_name",
"]",
"=",
"score",
"return",
"metrics"
] |
Evaluate the agent with multiple eval configurations.
|
[
"Evaluate",
"the",
"agent",
"with",
"multiple",
"eval",
"configurations",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/rl_utils.py#L100-L117
|
train
|
Evaluate the agent with multiple eval configurations.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(111) + chr(861 - 806), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + '\x33' + chr(0b10010 + 0o44), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10960 - 10849) + '\x31' + '\062' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1726 - 1678) + '\157' + '\061' + '\x34' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x35' + chr(2430 - 2380), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1010000 + 0o37) + '\062' + '\063' + '\066', 51789 - 51781), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x31' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b11100 + 0o123) + chr(0b100010 + 0o20) + chr(0b101 + 0o57) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(0b10 + 0o61) + chr(2281 - 2227), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(51) + chr(0b100011 + 0o24) + chr(0b11011 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(1831 - 1783) + '\157' + chr(51) + chr(0b1 + 0o60) + chr(1937 - 1883), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(1857 - 1803) + chr(51), 0b1000), ehT0Px3KOsy9(chr(331 - 283) + '\x6f' + chr(0b11101 + 0o26) + chr(0b1010 + 0o52) + chr(0b110110), 9977 - 9969), ehT0Px3KOsy9('\x30' + chr(0b1101111 + 0o0) + chr(0b100011 + 0o17) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9638 - 9527) + chr(0b100101 + 0o14) + chr(53) + chr(879 - 829), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b110011) + chr(0b11111 + 0o21) + chr(0b110111), 57071 - 57063), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\063' + chr(0b100111 + 0o17), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + '\x32' + '\x36' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1111 + 0o140) + '\x33' + chr(50) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2325 - 2270) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(49) + chr(50), 55893 - 55885), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + chr(0b110001) + chr(3017 - 2962) + chr(1164 - 1114), ord("\x08")), ehT0Px3KOsy9(chr(329 - 281) + chr(0b1101111) + chr(49) + chr(0b110101) + chr(2510 - 2458), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(6618 - 6507) + chr(51) + chr(0b10110 + 0o40) + chr(51), 39703 - 39695), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + '\061' + '\063' + chr(0b101010 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(0b110001) + chr(0b110011) + chr(1065 - 1017), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(798 - 687) + chr(51) + '\063' + chr(53), 0b1000), ehT0Px3KOsy9(chr(182 - 134) + chr(10972 - 10861) + chr(0b1011 + 0o46) + chr(779 - 729) + chr(531 - 483), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b100001 + 0o20) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11955 - 11844) + chr(51) + chr(52) + chr(0b10011 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2499 - 2449) + chr(2249 - 2199) + chr(231 - 176), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8027 - 7916) + chr(55) + '\x34', 54266 - 54258), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(9066 - 8955) + '\x31' + '\x34' + chr(1010 - 959), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(49) + chr(53) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + chr(49) + '\x33' + chr(50), 0b1000), ehT0Px3KOsy9(chr(111 - 63) + chr(0b1101111) + chr(49) + chr(0b11011 + 0o33) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(995 - 941) + chr(0b101100 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b1010 + 0o53) + chr(643 - 595), 9175 - 9167)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101001 + 0o6) + chr(2320 - 2267) + '\x30', 27707 - 27699)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b')'), chr(8257 - 8157) + chr(0b1100001 + 0o4) + chr(0b110110 + 0o55) + '\157' + chr(0b111100 + 0o50) + '\145')('\x75' + '\x74' + '\146' + chr(45) + chr(823 - 767)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xg8nbUqD1uHc(n4ljua2gi1Pr, TPZkpM7i650f, Og6v8y1JqxXN=p5ACv9sYIlhp):
yYegMqDoSfs5 = {}
for Ep30xVZP6Jij in xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'cF2\x03\x9f\xc7<\xc4K\x7f\xce\xb6'), '\144' + chr(0b1100101) + '\143' + chr(0b1101111) + chr(100) + chr(101))(chr(0b1101110 + 0o7) + chr(116) + '\x66' + chr(1200 - 1155) + chr(56))):
for PNkPtpEftL3Z in MVEN8G6CxlvR([xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'Hi\x00\x17\xc4\xee\x00\xedl`\xa0\x8d'), chr(100) + chr(0b1100101) + '\143' + '\x6f' + chr(100) + chr(0b1100101))(chr(13386 - 13269) + chr(116) + '\x66' + '\055' + chr(0b11 + 0o65))), ehT0Px3KOsy9(chr(2166 - 2118) + chr(0b1101111) + '\x30', 0b1000)]):
b8rpGniBNUPr = qydrVnmsLzQ4(n4ljua2gi1Pr, Ep30xVZP6Jij, PNkPtpEftL3Z, TPZkpM7i650f, Og6v8y1JqxXN)
for (n9fd4FsgoqFs, HaJ9N6N6fTwy) in pZ0NK2y6HRbn(b8rpGniBNUPr, (ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1 + 0o60), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(2029 - 1981), 8))):
Fk10FZM6EP2K = MfN4aWHP3PPD(Ep30xVZP6Jij, PNkPtpEftL3Z, HaJ9N6N6fTwy)
yYegMqDoSfs5[Fk10FZM6EP2K] = n9fd4FsgoqFs
return yYegMqDoSfs5
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/rl_utils.py
|
evaluate_world_model
|
def evaluate_world_model(
real_env, hparams, world_model_dir, debug_video_path,
split=tf.estimator.ModeKeys.EVAL,
):
"""Evaluate the world model (reward accuracy)."""
frame_stack_size = hparams.frame_stack_size
rollout_subsequences = []
def initial_frame_chooser(batch_size):
assert batch_size == len(rollout_subsequences)
return np.stack([
[frame.observation.decode() for frame in subsequence[:frame_stack_size]] # pylint: disable=g-complex-comprehension
for subsequence in rollout_subsequences
])
env_fn = rl.make_simulated_env_fn_from_hparams(
real_env, hparams, batch_size=hparams.wm_eval_batch_size,
initial_frame_chooser=initial_frame_chooser, model_dir=world_model_dir
)
sim_env = env_fn(in_graph=False)
subsequence_length = int(
max(hparams.wm_eval_rollout_ratios) * hparams.simulated_rollout_length
)
rollouts = real_env.current_epoch_rollouts(
split=split,
minimal_rollout_frames=(subsequence_length + frame_stack_size)
)
video_writer = common_video.WholeVideoWriter(
fps=10, output_path=debug_video_path, file_format="avi"
)
reward_accuracies_by_length = {
int(ratio * hparams.simulated_rollout_length): []
for ratio in hparams.wm_eval_rollout_ratios
}
for _ in range(hparams.wm_eval_num_batches):
rollout_subsequences[:] = random_rollout_subsequences(
rollouts, hparams.wm_eval_batch_size,
subsequence_length + frame_stack_size
)
eval_subsequences = [
subsequence[(frame_stack_size - 1):]
for subsequence in rollout_subsequences
]
# Check that the initial observation is the same in the real and simulated
# rollout.
sim_init_obs = sim_env.reset()
def decode_real_obs(index):
return np.stack([
subsequence[index].observation.decode()
for subsequence in eval_subsequences # pylint: disable=cell-var-from-loop
])
real_init_obs = decode_real_obs(0)
assert np.all(sim_init_obs == real_init_obs)
debug_frame_batches = []
def append_debug_frame_batch(sim_obs, real_obs, sim_cum_rews,
real_cum_rews, sim_rews, real_rews):
"""Add a debug frame."""
rews = [[sim_cum_rews, sim_rews], [real_cum_rews, real_rews]]
headers = []
for j in range(len(sim_obs)):
local_nps = []
for i in range(2):
img = PIL_Image().new("RGB", (sim_obs.shape[-2], 11),)
draw = PIL_ImageDraw().Draw(img)
draw.text((0, 0), "c:{:3}, r:{:3}".format(int(rews[i][0][j]),
int(rews[i][1][j])),
fill=(255, 0, 0))
local_nps.append(np.asarray(img))
local_nps.append(np.zeros_like(local_nps[0]))
headers.append(np.concatenate(local_nps, axis=1))
errs = absolute_hinge_difference(sim_obs, real_obs)
headers = np.stack(headers)
debug_frame_batches.append( # pylint: disable=cell-var-from-loop
np.concatenate([headers,
np.concatenate([sim_obs, real_obs, errs], axis=2)],
axis=1)
)
append_debug_frame_batch(sim_init_obs, real_init_obs,
np.zeros(hparams.wm_eval_batch_size),
np.zeros(hparams.wm_eval_batch_size),
np.zeros(hparams.wm_eval_batch_size),
np.zeros(hparams.wm_eval_batch_size))
(sim_cum_rewards, real_cum_rewards) = (
np.zeros(hparams.wm_eval_batch_size) for _ in range(2)
)
for i in range(subsequence_length):
actions = [subsequence[i].action for subsequence in eval_subsequences]
(sim_obs, sim_rewards, _) = sim_env.step(actions)
sim_cum_rewards += sim_rewards
real_rewards = np.array([
subsequence[i + 1].reward for subsequence in eval_subsequences
])
real_cum_rewards += real_rewards
for (length, reward_accuracies) in six.iteritems(
reward_accuracies_by_length
):
if i + 1 == length:
reward_accuracies.append(
np.sum(sim_cum_rewards == real_cum_rewards) /
len(real_cum_rewards)
)
real_obs = decode_real_obs(i + 1)
append_debug_frame_batch(sim_obs, real_obs, sim_cum_rewards,
real_cum_rewards, sim_rewards, real_rewards)
for debug_frames in np.stack(debug_frame_batches, axis=1):
debug_frame = None
for debug_frame in debug_frames:
video_writer.write(debug_frame)
if debug_frame is not None:
# Append two black frames for aesthetics.
for _ in range(2):
video_writer.write(np.zeros_like(debug_frame))
video_writer.finish_to_disk()
return {
"reward_accuracy/at_{}".format(length): np.mean(reward_accuracies)
for (length, reward_accuracies) in six.iteritems(
reward_accuracies_by_length
)
}
|
python
|
def evaluate_world_model(
real_env, hparams, world_model_dir, debug_video_path,
split=tf.estimator.ModeKeys.EVAL,
):
"""Evaluate the world model (reward accuracy)."""
frame_stack_size = hparams.frame_stack_size
rollout_subsequences = []
def initial_frame_chooser(batch_size):
assert batch_size == len(rollout_subsequences)
return np.stack([
[frame.observation.decode() for frame in subsequence[:frame_stack_size]] # pylint: disable=g-complex-comprehension
for subsequence in rollout_subsequences
])
env_fn = rl.make_simulated_env_fn_from_hparams(
real_env, hparams, batch_size=hparams.wm_eval_batch_size,
initial_frame_chooser=initial_frame_chooser, model_dir=world_model_dir
)
sim_env = env_fn(in_graph=False)
subsequence_length = int(
max(hparams.wm_eval_rollout_ratios) * hparams.simulated_rollout_length
)
rollouts = real_env.current_epoch_rollouts(
split=split,
minimal_rollout_frames=(subsequence_length + frame_stack_size)
)
video_writer = common_video.WholeVideoWriter(
fps=10, output_path=debug_video_path, file_format="avi"
)
reward_accuracies_by_length = {
int(ratio * hparams.simulated_rollout_length): []
for ratio in hparams.wm_eval_rollout_ratios
}
for _ in range(hparams.wm_eval_num_batches):
rollout_subsequences[:] = random_rollout_subsequences(
rollouts, hparams.wm_eval_batch_size,
subsequence_length + frame_stack_size
)
eval_subsequences = [
subsequence[(frame_stack_size - 1):]
for subsequence in rollout_subsequences
]
# Check that the initial observation is the same in the real and simulated
# rollout.
sim_init_obs = sim_env.reset()
def decode_real_obs(index):
return np.stack([
subsequence[index].observation.decode()
for subsequence in eval_subsequences # pylint: disable=cell-var-from-loop
])
real_init_obs = decode_real_obs(0)
assert np.all(sim_init_obs == real_init_obs)
debug_frame_batches = []
def append_debug_frame_batch(sim_obs, real_obs, sim_cum_rews,
real_cum_rews, sim_rews, real_rews):
"""Add a debug frame."""
rews = [[sim_cum_rews, sim_rews], [real_cum_rews, real_rews]]
headers = []
for j in range(len(sim_obs)):
local_nps = []
for i in range(2):
img = PIL_Image().new("RGB", (sim_obs.shape[-2], 11),)
draw = PIL_ImageDraw().Draw(img)
draw.text((0, 0), "c:{:3}, r:{:3}".format(int(rews[i][0][j]),
int(rews[i][1][j])),
fill=(255, 0, 0))
local_nps.append(np.asarray(img))
local_nps.append(np.zeros_like(local_nps[0]))
headers.append(np.concatenate(local_nps, axis=1))
errs = absolute_hinge_difference(sim_obs, real_obs)
headers = np.stack(headers)
debug_frame_batches.append( # pylint: disable=cell-var-from-loop
np.concatenate([headers,
np.concatenate([sim_obs, real_obs, errs], axis=2)],
axis=1)
)
append_debug_frame_batch(sim_init_obs, real_init_obs,
np.zeros(hparams.wm_eval_batch_size),
np.zeros(hparams.wm_eval_batch_size),
np.zeros(hparams.wm_eval_batch_size),
np.zeros(hparams.wm_eval_batch_size))
(sim_cum_rewards, real_cum_rewards) = (
np.zeros(hparams.wm_eval_batch_size) for _ in range(2)
)
for i in range(subsequence_length):
actions = [subsequence[i].action for subsequence in eval_subsequences]
(sim_obs, sim_rewards, _) = sim_env.step(actions)
sim_cum_rewards += sim_rewards
real_rewards = np.array([
subsequence[i + 1].reward for subsequence in eval_subsequences
])
real_cum_rewards += real_rewards
for (length, reward_accuracies) in six.iteritems(
reward_accuracies_by_length
):
if i + 1 == length:
reward_accuracies.append(
np.sum(sim_cum_rewards == real_cum_rewards) /
len(real_cum_rewards)
)
real_obs = decode_real_obs(i + 1)
append_debug_frame_batch(sim_obs, real_obs, sim_cum_rewards,
real_cum_rewards, sim_rewards, real_rewards)
for debug_frames in np.stack(debug_frame_batches, axis=1):
debug_frame = None
for debug_frame in debug_frames:
video_writer.write(debug_frame)
if debug_frame is not None:
# Append two black frames for aesthetics.
for _ in range(2):
video_writer.write(np.zeros_like(debug_frame))
video_writer.finish_to_disk()
return {
"reward_accuracy/at_{}".format(length): np.mean(reward_accuracies)
for (length, reward_accuracies) in six.iteritems(
reward_accuracies_by_length
)
}
|
[
"def",
"evaluate_world_model",
"(",
"real_env",
",",
"hparams",
",",
"world_model_dir",
",",
"debug_video_path",
",",
"split",
"=",
"tf",
".",
"estimator",
".",
"ModeKeys",
".",
"EVAL",
",",
")",
":",
"frame_stack_size",
"=",
"hparams",
".",
"frame_stack_size",
"rollout_subsequences",
"=",
"[",
"]",
"def",
"initial_frame_chooser",
"(",
"batch_size",
")",
":",
"assert",
"batch_size",
"==",
"len",
"(",
"rollout_subsequences",
")",
"return",
"np",
".",
"stack",
"(",
"[",
"[",
"frame",
".",
"observation",
".",
"decode",
"(",
")",
"for",
"frame",
"in",
"subsequence",
"[",
":",
"frame_stack_size",
"]",
"]",
"# pylint: disable=g-complex-comprehension",
"for",
"subsequence",
"in",
"rollout_subsequences",
"]",
")",
"env_fn",
"=",
"rl",
".",
"make_simulated_env_fn_from_hparams",
"(",
"real_env",
",",
"hparams",
",",
"batch_size",
"=",
"hparams",
".",
"wm_eval_batch_size",
",",
"initial_frame_chooser",
"=",
"initial_frame_chooser",
",",
"model_dir",
"=",
"world_model_dir",
")",
"sim_env",
"=",
"env_fn",
"(",
"in_graph",
"=",
"False",
")",
"subsequence_length",
"=",
"int",
"(",
"max",
"(",
"hparams",
".",
"wm_eval_rollout_ratios",
")",
"*",
"hparams",
".",
"simulated_rollout_length",
")",
"rollouts",
"=",
"real_env",
".",
"current_epoch_rollouts",
"(",
"split",
"=",
"split",
",",
"minimal_rollout_frames",
"=",
"(",
"subsequence_length",
"+",
"frame_stack_size",
")",
")",
"video_writer",
"=",
"common_video",
".",
"WholeVideoWriter",
"(",
"fps",
"=",
"10",
",",
"output_path",
"=",
"debug_video_path",
",",
"file_format",
"=",
"\"avi\"",
")",
"reward_accuracies_by_length",
"=",
"{",
"int",
"(",
"ratio",
"*",
"hparams",
".",
"simulated_rollout_length",
")",
":",
"[",
"]",
"for",
"ratio",
"in",
"hparams",
".",
"wm_eval_rollout_ratios",
"}",
"for",
"_",
"in",
"range",
"(",
"hparams",
".",
"wm_eval_num_batches",
")",
":",
"rollout_subsequences",
"[",
":",
"]",
"=",
"random_rollout_subsequences",
"(",
"rollouts",
",",
"hparams",
".",
"wm_eval_batch_size",
",",
"subsequence_length",
"+",
"frame_stack_size",
")",
"eval_subsequences",
"=",
"[",
"subsequence",
"[",
"(",
"frame_stack_size",
"-",
"1",
")",
":",
"]",
"for",
"subsequence",
"in",
"rollout_subsequences",
"]",
"# Check that the initial observation is the same in the real and simulated",
"# rollout.",
"sim_init_obs",
"=",
"sim_env",
".",
"reset",
"(",
")",
"def",
"decode_real_obs",
"(",
"index",
")",
":",
"return",
"np",
".",
"stack",
"(",
"[",
"subsequence",
"[",
"index",
"]",
".",
"observation",
".",
"decode",
"(",
")",
"for",
"subsequence",
"in",
"eval_subsequences",
"# pylint: disable=cell-var-from-loop",
"]",
")",
"real_init_obs",
"=",
"decode_real_obs",
"(",
"0",
")",
"assert",
"np",
".",
"all",
"(",
"sim_init_obs",
"==",
"real_init_obs",
")",
"debug_frame_batches",
"=",
"[",
"]",
"def",
"append_debug_frame_batch",
"(",
"sim_obs",
",",
"real_obs",
",",
"sim_cum_rews",
",",
"real_cum_rews",
",",
"sim_rews",
",",
"real_rews",
")",
":",
"\"\"\"Add a debug frame.\"\"\"",
"rews",
"=",
"[",
"[",
"sim_cum_rews",
",",
"sim_rews",
"]",
",",
"[",
"real_cum_rews",
",",
"real_rews",
"]",
"]",
"headers",
"=",
"[",
"]",
"for",
"j",
"in",
"range",
"(",
"len",
"(",
"sim_obs",
")",
")",
":",
"local_nps",
"=",
"[",
"]",
"for",
"i",
"in",
"range",
"(",
"2",
")",
":",
"img",
"=",
"PIL_Image",
"(",
")",
".",
"new",
"(",
"\"RGB\"",
",",
"(",
"sim_obs",
".",
"shape",
"[",
"-",
"2",
"]",
",",
"11",
")",
",",
")",
"draw",
"=",
"PIL_ImageDraw",
"(",
")",
".",
"Draw",
"(",
"img",
")",
"draw",
".",
"text",
"(",
"(",
"0",
",",
"0",
")",
",",
"\"c:{:3}, r:{:3}\"",
".",
"format",
"(",
"int",
"(",
"rews",
"[",
"i",
"]",
"[",
"0",
"]",
"[",
"j",
"]",
")",
",",
"int",
"(",
"rews",
"[",
"i",
"]",
"[",
"1",
"]",
"[",
"j",
"]",
")",
")",
",",
"fill",
"=",
"(",
"255",
",",
"0",
",",
"0",
")",
")",
"local_nps",
".",
"append",
"(",
"np",
".",
"asarray",
"(",
"img",
")",
")",
"local_nps",
".",
"append",
"(",
"np",
".",
"zeros_like",
"(",
"local_nps",
"[",
"0",
"]",
")",
")",
"headers",
".",
"append",
"(",
"np",
".",
"concatenate",
"(",
"local_nps",
",",
"axis",
"=",
"1",
")",
")",
"errs",
"=",
"absolute_hinge_difference",
"(",
"sim_obs",
",",
"real_obs",
")",
"headers",
"=",
"np",
".",
"stack",
"(",
"headers",
")",
"debug_frame_batches",
".",
"append",
"(",
"# pylint: disable=cell-var-from-loop",
"np",
".",
"concatenate",
"(",
"[",
"headers",
",",
"np",
".",
"concatenate",
"(",
"[",
"sim_obs",
",",
"real_obs",
",",
"errs",
"]",
",",
"axis",
"=",
"2",
")",
"]",
",",
"axis",
"=",
"1",
")",
")",
"append_debug_frame_batch",
"(",
"sim_init_obs",
",",
"real_init_obs",
",",
"np",
".",
"zeros",
"(",
"hparams",
".",
"wm_eval_batch_size",
")",
",",
"np",
".",
"zeros",
"(",
"hparams",
".",
"wm_eval_batch_size",
")",
",",
"np",
".",
"zeros",
"(",
"hparams",
".",
"wm_eval_batch_size",
")",
",",
"np",
".",
"zeros",
"(",
"hparams",
".",
"wm_eval_batch_size",
")",
")",
"(",
"sim_cum_rewards",
",",
"real_cum_rewards",
")",
"=",
"(",
"np",
".",
"zeros",
"(",
"hparams",
".",
"wm_eval_batch_size",
")",
"for",
"_",
"in",
"range",
"(",
"2",
")",
")",
"for",
"i",
"in",
"range",
"(",
"subsequence_length",
")",
":",
"actions",
"=",
"[",
"subsequence",
"[",
"i",
"]",
".",
"action",
"for",
"subsequence",
"in",
"eval_subsequences",
"]",
"(",
"sim_obs",
",",
"sim_rewards",
",",
"_",
")",
"=",
"sim_env",
".",
"step",
"(",
"actions",
")",
"sim_cum_rewards",
"+=",
"sim_rewards",
"real_rewards",
"=",
"np",
".",
"array",
"(",
"[",
"subsequence",
"[",
"i",
"+",
"1",
"]",
".",
"reward",
"for",
"subsequence",
"in",
"eval_subsequences",
"]",
")",
"real_cum_rewards",
"+=",
"real_rewards",
"for",
"(",
"length",
",",
"reward_accuracies",
")",
"in",
"six",
".",
"iteritems",
"(",
"reward_accuracies_by_length",
")",
":",
"if",
"i",
"+",
"1",
"==",
"length",
":",
"reward_accuracies",
".",
"append",
"(",
"np",
".",
"sum",
"(",
"sim_cum_rewards",
"==",
"real_cum_rewards",
")",
"/",
"len",
"(",
"real_cum_rewards",
")",
")",
"real_obs",
"=",
"decode_real_obs",
"(",
"i",
"+",
"1",
")",
"append_debug_frame_batch",
"(",
"sim_obs",
",",
"real_obs",
",",
"sim_cum_rewards",
",",
"real_cum_rewards",
",",
"sim_rewards",
",",
"real_rewards",
")",
"for",
"debug_frames",
"in",
"np",
".",
"stack",
"(",
"debug_frame_batches",
",",
"axis",
"=",
"1",
")",
":",
"debug_frame",
"=",
"None",
"for",
"debug_frame",
"in",
"debug_frames",
":",
"video_writer",
".",
"write",
"(",
"debug_frame",
")",
"if",
"debug_frame",
"is",
"not",
"None",
":",
"# Append two black frames for aesthetics.",
"for",
"_",
"in",
"range",
"(",
"2",
")",
":",
"video_writer",
".",
"write",
"(",
"np",
".",
"zeros_like",
"(",
"debug_frame",
")",
")",
"video_writer",
".",
"finish_to_disk",
"(",
")",
"return",
"{",
"\"reward_accuracy/at_{}\"",
".",
"format",
"(",
"length",
")",
":",
"np",
".",
"mean",
"(",
"reward_accuracies",
")",
"for",
"(",
"length",
",",
"reward_accuracies",
")",
"in",
"six",
".",
"iteritems",
"(",
"reward_accuracies_by_length",
")",
"}"
] |
Evaluate the world model (reward accuracy).
|
[
"Evaluate",
"the",
"world",
"model",
"(",
"reward",
"accuracy",
")",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/rl_utils.py#L120-L249
|
train
|
Evaluate the world model.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(7454 - 7343) + chr(49) + '\063' + chr(1909 - 1859), 0b1000), ehT0Px3KOsy9('\x30' + chr(1719 - 1608) + chr(0b110011) + '\x31' + chr(48), 33506 - 33498), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101010 + 0o5) + chr(0b100101 + 0o14) + chr(0b110000) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x35' + chr(1938 - 1888), 21305 - 21297), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(55) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1307 - 1259) + chr(0b1101000 + 0o7) + '\064' + '\x31', 59682 - 59674), ehT0Px3KOsy9(chr(48) + chr(0b1010100 + 0o33) + chr(0b110011) + chr(0b1 + 0o65) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + chr(0b110011) + chr(2432 - 2381) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\x33' + '\x36' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011011 + 0o24) + '\x34' + chr(50), 44406 - 44398), ehT0Px3KOsy9('\x30' + chr(5028 - 4917) + chr(0b110011) + '\x32' + '\x33', 34286 - 34278), ehT0Px3KOsy9('\060' + '\157' + chr(1508 - 1453) + chr(54), 31609 - 31601), ehT0Px3KOsy9('\x30' + chr(3464 - 3353) + chr(50) + chr(51) + chr(0b1000 + 0o55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1844 - 1793) + chr(0b110111) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + '\x33' + '\066' + '\066', 8), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(50) + chr(2638 - 2586), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b1011 + 0o47) + chr(0b110111) + '\063', 43718 - 43710), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + '\x33' + chr(0b110100) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\065' + '\x31', 58085 - 58077), ehT0Px3KOsy9(chr(0b110000) + chr(8304 - 8193) + '\062' + chr(0b110111) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\060' + chr(0b110101), 31133 - 31125), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b0 + 0o62) + chr(2097 - 2045), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(691 - 640) + '\x32', 8), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + '\063' + chr(0b10001 + 0o44) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b110010 + 0o5) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\x31' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\061' + chr(0b11101 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100010 + 0o17) + chr(553 - 502) + chr(0b101 + 0o62), 53593 - 53585), ehT0Px3KOsy9(chr(1616 - 1568) + '\x6f' + chr(0b110100) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110101) + chr(0b11111 + 0o25), 10995 - 10987), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(490 - 438) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1376 - 1327) + '\x32' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(977 - 929) + chr(0b110110), 23947 - 23939), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(8202 - 8091) + '\063' + '\066' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2018 - 1968) + chr(0b110010) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1711 - 1661) + chr(0b110101) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(2112 - 2059) + '\061', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(519 - 468) + chr(0b110101) + chr(50), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1953 - 1900) + chr(752 - 704), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b't'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(117) + '\164' + chr(0b1100110) + chr(811 - 766) + chr(0b110101 + 0o3)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def H1fEmy7WhNMc(EgS9dR_BAieQ, n4ljua2gi1Pr, liGWULAjpmPi, hojfa0zbgkh3, vsJU7GhuEuh6=xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f\x9e\x05\xe6'), chr(0b101010 + 0o72) + chr(0b1100101) + '\143' + '\157' + '\x64' + chr(5527 - 5426))('\165' + '\164' + chr(803 - 701) + chr(584 - 539) + chr(0b0 + 0o70)))):
YYpMgs8WK8M7 = n4ljua2gi1Pr.YYpMgs8WK8M7
vaiR2IwHVJ_g = []
def OkKotjp_CVo5(ix9dZyeAmUxY):
assert ix9dZyeAmUxY == c2A0yzQpDQB3(vaiR2IwHVJ_g)
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b')\xbc%\xc9Q'), chr(100) + chr(101) + '\x63' + chr(111) + '\x64' + chr(8756 - 8655))(chr(117) + chr(0b1101011 + 0o11) + chr(7890 - 7788) + chr(0b11100 + 0o21) + chr(0b101111 + 0o11)))([[xafqLlk3kkUe(C4IqNNmLfHXB.observation, chr(0b1100100) + '\145' + chr(180 - 81) + chr(0b1010110 + 0o31) + chr(0b1100100) + chr(8264 - 8163))() for C4IqNNmLfHXB in UNlktxBtf2vj[:YYpMgs8WK8M7]] for UNlktxBtf2vj in vaiR2IwHVJ_g])
LwGmvHQYXm7c = iwzD7IVqUS5S.make_simulated_env_fn_from_hparams(EgS9dR_BAieQ, n4ljua2gi1Pr, batch_size=n4ljua2gi1Pr.wm_eval_batch_size, initial_frame_chooser=OkKotjp_CVo5, model_dir=liGWULAjpmPi)
KnK5DDqYil2I = LwGmvHQYXm7c(in_graph=ehT0Px3KOsy9('\x30' + '\x6f' + chr(48), 0o10))
Ld1cRF2NzXk7 = ehT0Px3KOsy9(tsdjvlgh9gDP(n4ljua2gi1Pr.wm_eval_rollout_ratios) * n4ljua2gi1Pr.Zz7z6jACoNio)
P3dEj3797dMK = EgS9dR_BAieQ.current_epoch_rollouts(split=vsJU7GhuEuh6, minimal_rollout_frames=Ld1cRF2NzXk7 + YYpMgs8WK8M7)
TEiFeTBBrmQQ = feDooRjkbHzt.WholeVideoWriter(fps=ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(0b110001) + '\x32', ord("\x08")), output_path=hojfa0zbgkh3, file_format=xafqLlk3kkUe(SXOLrMavuUCe(b';\xbe-'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1110101) + '\164' + chr(7253 - 7151) + '\x2d' + chr(0b111000)))
SZKemn4nzwej = {ehT0Px3KOsy9(pyiPBPsXZj35 * n4ljua2gi1Pr.Zz7z6jACoNio): [] for pyiPBPsXZj35 in n4ljua2gi1Pr.wm_eval_rollout_ratios}
for VNGQdHSFPrso in vQr8gNKaIaWE(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'-\xa5\x1b\xcfLyM\xa9\xb0\x82O\x8c\\\xfc\x8e\x95\xbc\xde\x91'), chr(100) + chr(0b101111 + 0o66) + chr(6800 - 6701) + chr(1052 - 941) + chr(0b1100001 + 0o3) + chr(0b1011101 + 0o10))('\165' + '\x74' + chr(102) + '\055' + chr(0b110011 + 0o5)))):
vaiR2IwHVJ_g[:] = P3ZH3L37QrXz(P3dEj3797dMK, n4ljua2gi1Pr.wm_eval_batch_size, Ld1cRF2NzXk7 + YYpMgs8WK8M7)
Zbku4ufJklg4 = [UNlktxBtf2vj[YYpMgs8WK8M7 - ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\061', ord("\x08")):] for UNlktxBtf2vj in vaiR2IwHVJ_g]
s0n6hMQQtel7 = KnK5DDqYil2I.reset()
def fpfg6m_AMnvQ(XdowRbJKZWL9):
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b')\xbc%\xc9Q'), chr(0b1100100) + chr(101) + '\143' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(9435 - 9318) + chr(116) + chr(9280 - 9178) + chr(1784 - 1739) + chr(1705 - 1649)))([xafqLlk3kkUe(UNlktxBtf2vj[XdowRbJKZWL9].observation, chr(100) + chr(0b101111 + 0o66) + chr(0b1011001 + 0o12) + chr(0b100 + 0o153) + '\x64' + '\145')() for UNlktxBtf2vj in Zbku4ufJklg4])
u5l6oqOh9ta6 = fpfg6m_AMnvQ(ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(48), 8))
assert xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xa4p\x92Tr\x10\x84\xbc\x9e\x10\xe0'), chr(0b11111 + 0o105) + '\x65' + chr(0b11101 + 0o106) + chr(111) + chr(3648 - 3548) + chr(101))('\165' + chr(0b1110100) + chr(2564 - 2462) + chr(0b101101) + chr(56)))(s0n6hMQQtel7 == u5l6oqOh9ta6)
Gi9C_RLAVLRM = []
def KHlPuQn9UGj5(npo7dKIcvr2T, jL0GHqm5artE, cbDB7XmzPlB9, r5AKnevjc86o, GyIhJsD84iVS, hbxZyLodhWeq):
ahihDDIfAFOA = [[cbDB7XmzPlB9, GyIhJsD84iVS], [r5AKnevjc86o, hbxZyLodhWeq]]
Po1zXXTKc_sm = []
for tlORBuYsiw3X in vQr8gNKaIaWE(c2A0yzQpDQB3(npo7dKIcvr2T)):
kHDQARMJpWkZ = []
for WVxHKyX45z_L in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(2267 - 2219) + chr(0b1101111) + chr(265 - 215), 24865 - 24857)):
s63jeLEbd8fs = RHAaDRV020yY().new(xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\x8f\x06'), chr(0b110001 + 0o63) + chr(4459 - 4358) + chr(6719 - 6620) + chr(0b1101111) + chr(0b1100100) + '\145')('\x75' + '\x74' + chr(102) + chr(0b101101) + chr(56)), (npo7dKIcvr2T.nauYfLglTpcb[-ehT0Px3KOsy9(chr(48) + chr(9516 - 9405) + chr(0b11 + 0o57), 8)], ehT0Px3KOsy9('\060' + chr(6417 - 6306) + chr(49) + chr(51), 0b1000)))
B65Iv98Ts98c = V_CZu747ewZL().Draw(s63jeLEbd8fs)
xafqLlk3kkUe(B65Iv98Ts98c, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\xa0u\xd8svW\x91\xea\xcfj\xb1'), chr(100) + chr(0b1000111 + 0o36) + chr(0b110101 + 0o56) + chr(0b1101111) + '\144' + chr(0b111010 + 0o53))(chr(0b1110101) + '\x74' + '\x66' + chr(0b11000 + 0o25) + '\070'))((ehT0Px3KOsy9(chr(48) + chr(0b1010100 + 0o33) + chr(1321 - 1273), 8), ehT0Px3KOsy9('\x30' + chr(12182 - 12071) + chr(0b1 + 0o57), 8)), xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'9\xf2?\x90\te\r\xd6\xac\xcdY\xe9\r\xe0'), chr(0b1010000 + 0o24) + chr(3902 - 3801) + '\143' + chr(0b1011110 + 0o21) + chr(0b1100100) + chr(0b101100 + 0o71))('\x75' + '\x74' + chr(0b1100110) + chr(0b11 + 0o52) + chr(0b101000 + 0o20)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xfc6\xc5ryr\xc5\x8e\x87G\xb9'), '\144' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(101))(chr(117) + chr(7827 - 7711) + chr(7129 - 7027) + chr(0b101101) + '\x38'))(ehT0Px3KOsy9(ahihDDIfAFOA[WVxHKyX45z_L][ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(712 - 601) + '\060', 8)][tlORBuYsiw3X]), ehT0Px3KOsy9(ahihDDIfAFOA[WVxHKyX45z_L][ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(6806 - 6695) + chr(49), 8)][tlORBuYsiw3X])), fill=(ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(55) + chr(0b110 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(1043 - 995) + chr(0b100101 + 0o112) + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(8623 - 8512) + chr(0b100111 + 0o11), 8)))
xafqLlk3kkUe(kHDQARMJpWkZ, xafqLlk3kkUe(SXOLrMavuUCe(b';\xb84\xcfT|'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(8843 - 8732) + chr(0b1000100 + 0o40) + chr(101))(chr(0b10101 + 0o140) + chr(116) + chr(0b10 + 0o144) + chr(0b101101) + chr(1335 - 1279)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b';\xbb%\xd8HyX'), chr(6892 - 6792) + '\145' + '\x63' + chr(0b1001101 + 0o42) + chr(298 - 198) + chr(0b1100101))('\165' + '\x74' + chr(0b1001 + 0o135) + chr(0b10011 + 0o32) + '\x38'))(s63jeLEbd8fs))
xafqLlk3kkUe(kHDQARMJpWkZ, xafqLlk3kkUe(SXOLrMavuUCe(b';\xb84\xcfT|'), chr(0b10010 + 0o122) + '\145' + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(116) + chr(102) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b' \xad6\xc5IGM\x9f\xb5\x92'), '\144' + chr(0b1011100 + 0o11) + chr(6053 - 5954) + chr(0b111111 + 0o60) + chr(5703 - 5603) + chr(9902 - 9801))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\070'))(kHDQARMJpWkZ[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110000), 8)]))
xafqLlk3kkUe(Po1zXXTKc_sm, xafqLlk3kkUe(SXOLrMavuUCe(b';\xb84\xcfT|'), chr(100) + chr(8003 - 7902) + chr(0b100001 + 0o102) + chr(0b1010011 + 0o34) + chr(5580 - 5480) + chr(101))(chr(117) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b11010 + 0o36)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'9\xa7*\xc9[lD\x98\xbf\x83G'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\157' + chr(100) + '\145')('\x75' + chr(116) + chr(5986 - 5884) + '\x2d' + chr(0b10011 + 0o45)))(kHDQARMJpWkZ, axis=ehT0Px3KOsy9('\x30' + '\x6f' + chr(801 - 752), 8)))
FaWIYOuP8M7g = ixK92NOVmFcu(npo7dKIcvr2T, jL0GHqm5artE)
Po1zXXTKc_sm = WqUC3KWvYVup.stack(Po1zXXTKc_sm)
xafqLlk3kkUe(Gi9C_RLAVLRM, xafqLlk3kkUe(SXOLrMavuUCe(b';\xb84\xcfT|'), '\144' + '\x65' + '\143' + chr(6021 - 5910) + chr(0b1100010 + 0o2) + chr(0b101101 + 0o70))('\x75' + chr(116) + chr(102) + chr(982 - 937) + '\x38'))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'9\xa7*\xc9[lD\x98\xbf\x83G'), chr(8106 - 8006) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(5964 - 5864) + chr(0b10000 + 0o125))(chr(7620 - 7503) + chr(116) + '\146' + chr(0b10001 + 0o34) + '\070'))([Po1zXXTKc_sm, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'9\xa7*\xc9[lD\x98\xbf\x83G'), '\x64' + chr(5917 - 5816) + chr(99) + chr(0b1101111) + '\x64' + '\x65')('\165' + '\164' + chr(4936 - 4834) + chr(0b101101) + chr(56)))([npo7dKIcvr2T, jL0GHqm5artE, FaWIYOuP8M7g], axis=ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(1353 - 1303), 8))], axis=ehT0Px3KOsy9(chr(1388 - 1340) + chr(5721 - 5610) + chr(0b110001), 8)))
KHlPuQn9UGj5(s0n6hMQQtel7, u5l6oqOh9ta6, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b' \xad6\xc5I'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(0b1011111 + 0o5) + '\145')(chr(117) + chr(116) + chr(0b1100110) + '\x2d' + '\070'))(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'-\xa5\x1b\xcfLyM\xa9\xbc\x96V\xb0V\xc2\x89\x9f\xae\xde'), '\x64' + chr(0b1100101) + chr(0b1000 + 0o133) + chr(0b101110 + 0o101) + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + chr(816 - 714) + '\055' + chr(0b111000)))), xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b' \xad6\xc5I'), chr(0b11010 + 0o112) + '\x65' + chr(6001 - 5902) + '\x6f' + chr(0b1100100) + chr(4529 - 4428))(chr(0b1100011 + 0o22) + '\164' + '\x66' + chr(45) + chr(0b111000)))(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'-\xa5\x1b\xcfLyM\xa9\xbc\x96V\xb0V\xc2\x89\x9f\xae\xde'), chr(0b111100 + 0o50) + chr(3939 - 3838) + chr(99) + '\x6f' + chr(0b101111 + 0o65) + chr(750 - 649))(chr(2911 - 2794) + '\164' + '\x66' + chr(0b101010 + 0o3) + chr(690 - 634)))), xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b' \xad6\xc5I'), chr(9330 - 9230) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(100) + '\145')('\x75' + '\x74' + chr(7520 - 7418) + chr(0b1001 + 0o44) + '\070'))(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'-\xa5\x1b\xcfLyM\xa9\xbc\x96V\xb0V\xc2\x89\x9f\xae\xde'), '\x64' + '\x65' + chr(99) + chr(5406 - 5295) + chr(0b1100100) + '\145')('\x75' + chr(10252 - 10136) + chr(0b1100110) + chr(0b101101) + '\x38'))), xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b' \xad6\xc5I'), chr(0b1100100) + chr(0b100000 + 0o105) + chr(9333 - 9234) + chr(111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1011100 + 0o12) + chr(0b101101) + chr(2609 - 2553)))(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'-\xa5\x1b\xcfLyM\xa9\xbc\x96V\xb0V\xc2\x89\x9f\xae\xde'), chr(0b1010011 + 0o21) + '\145' + chr(0b1100011) + chr(2938 - 2827) + '\x64' + '\x65')('\x75' + chr(12815 - 12699) + chr(102) + chr(1399 - 1354) + chr(0b111000)))))
(t2J7E6krnDrm, N_vi9b2rDFU1) = (WqUC3KWvYVup.zeros(n4ljua2gi1Pr.wm_eval_batch_size) for VNGQdHSFPrso in vQr8gNKaIaWE(ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50), 8)))
for WVxHKyX45z_L in vQr8gNKaIaWE(Ld1cRF2NzXk7):
WCl6VUkME_8I = [UNlktxBtf2vj[WVxHKyX45z_L].action for UNlktxBtf2vj in Zbku4ufJklg4]
(npo7dKIcvr2T, KrJe9DtdUK2R, VNGQdHSFPrso) = KnK5DDqYil2I.kDuFsAhEatcU(WCl6VUkME_8I)
t2J7E6krnDrm += KrJe9DtdUK2R
ID0Qq_jQGpl4 = WqUC3KWvYVup.B0ePDhpqxN5n([UNlktxBtf2vj[WVxHKyX45z_L + ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10010 + 0o37), 8)].reward for UNlktxBtf2vj in Zbku4ufJklg4])
N_vi9b2rDFU1 += ID0Qq_jQGpl4
for (CHAOgk5VCHH_, m35pw5c6_m9X) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'3\xbc!\xd8SlD\x9b\xad'), chr(4834 - 4734) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(9042 - 8942) + '\145')(chr(117) + chr(0b1110100) + chr(6817 - 6715) + '\x2d' + chr(0b1010 + 0o56)))(SZKemn4nzwej):
if WVxHKyX45z_L + ehT0Px3KOsy9('\x30' + chr(1953 - 1842) + chr(0b100100 + 0o15), 8) == CHAOgk5VCHH_:
xafqLlk3kkUe(m35pw5c6_m9X, xafqLlk3kkUe(SXOLrMavuUCe(b';\xb84\xcfT|'), chr(100) + chr(101) + chr(5665 - 5566) + chr(0b1101111) + chr(8283 - 8183) + chr(8509 - 8408))(chr(13329 - 13212) + chr(11617 - 11501) + chr(102) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'"\xa3<\xe8Ww\x15\xcf\xa6\xc5c\xbd'), chr(0b110 + 0o136) + chr(0b1001001 + 0o34) + chr(0b1001011 + 0o30) + chr(0b1000011 + 0o54) + chr(0b11 + 0o141) + chr(101))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\x2d' + '\070'))(t2J7E6krnDrm == N_vi9b2rDFU1) / c2A0yzQpDQB3(N_vi9b2rDFU1))
jL0GHqm5artE = fpfg6m_AMnvQ(WVxHKyX45z_L + ehT0Px3KOsy9('\x30' + chr(8490 - 8379) + chr(1532 - 1483), 8))
KHlPuQn9UGj5(npo7dKIcvr2T, jL0GHqm5artE, t2J7E6krnDrm, N_vi9b2rDFU1, KrJe9DtdUK2R, ID0Qq_jQGpl4)
for HmtZj6qIgJqt in xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b')\xbc%\xc9Q'), chr(0b1100 + 0o130) + chr(669 - 568) + chr(0b1100011) + '\x6f' + chr(317 - 217) + chr(6421 - 6320))(chr(117) + chr(116) + chr(0b1011110 + 0o10) + chr(0b100100 + 0o11) + chr(437 - 381)))(Gi9C_RLAVLRM, axis=ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + chr(49), 8)):
lVqfWz2hvoYJ = None
for lVqfWz2hvoYJ in HmtZj6qIgJqt:
xafqLlk3kkUe(TEiFeTBBrmQQ, xafqLlk3kkUe(SXOLrMavuUCe(b'-\xba-\xde_'), chr(100) + chr(0b1100101) + chr(0b10011 + 0o120) + chr(0b1101111) + chr(100) + chr(0b110111 + 0o56))(chr(0b100011 + 0o122) + chr(0b1110100) + chr(0b111111 + 0o47) + chr(45) + chr(0b101 + 0o63)))(lVqfWz2hvoYJ)
if lVqfWz2hvoYJ is not None:
for VNGQdHSFPrso in vQr8gNKaIaWE(ehT0Px3KOsy9('\x30' + '\x6f' + chr(517 - 467), 8)):
xafqLlk3kkUe(TEiFeTBBrmQQ, xafqLlk3kkUe(SXOLrMavuUCe(b'-\xba-\xde_'), chr(9125 - 9025) + chr(0b1010011 + 0o22) + '\143' + '\x6f' + '\x64' + chr(0b11100 + 0o111))('\x75' + '\164' + chr(0b11000 + 0o116) + chr(45) + chr(0b11111 + 0o31)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b' \xad6\xc5IGM\x9f\xb5\x92'), '\144' + '\x65' + '\143' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\070'))(lVqfWz2hvoYJ))
xafqLlk3kkUe(TEiFeTBBrmQQ, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xa1*\xc3Ip~\x82\xb1\xa8F\xbaM\xf6'), chr(0b1100100) + chr(0b11010 + 0o113) + '\143' + chr(1455 - 1344) + '\144' + '\145')(chr(117) + chr(116) + '\146' + '\055' + '\x38'))()
return {xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'(\xad3\xcbH|~\x97\xbd\x94W\xa1_\xfe\x83\xd9\xb5\xcf\xbd\x92\xc0'), '\144' + chr(0b1100101) + chr(3859 - 3760) + chr(0b1101111) + '\x64' + chr(4480 - 4379))(chr(8776 - 8659) + chr(0b1110100) + '\x66' + chr(1589 - 1544) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xfc6\xc5ryr\xc5\x8e\x87G\xb9'), chr(9872 - 9772) + chr(4432 - 4331) + chr(161 - 62) + '\157' + chr(0b1100100) + chr(4058 - 3957))(chr(117) + '\x74' + '\x66' + chr(0b101101) + chr(56)))(CHAOgk5VCHH_): xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b';\x82,\xe3N[~\xa0\xbf\x80N\xa4'), chr(5825 - 5725) + chr(101) + '\143' + chr(0b1001000 + 0o47) + '\x64' + '\145')(chr(0b1 + 0o164) + chr(116) + '\x66' + '\055' + '\x38'))(m35pw5c6_m9X) for (CHAOgk5VCHH_, m35pw5c6_m9X) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'3\xbc!\xd8SlD\x9b\xad'), '\144' + '\x65' + chr(0b101010 + 0o71) + chr(0b1010010 + 0o35) + chr(0b1100100) + '\x65')(chr(4900 - 4783) + chr(0b11011 + 0o131) + '\x66' + chr(1227 - 1182) + chr(0b1100 + 0o54)))(SZKemn4nzwej)}
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/rl_utils.py
|
summarize_metrics
|
def summarize_metrics(eval_metrics_writer, metrics, epoch):
"""Write metrics to summary."""
for (name, value) in six.iteritems(metrics):
summary = tf.Summary()
summary.value.add(tag=name, simple_value=value)
eval_metrics_writer.add_summary(summary, epoch)
eval_metrics_writer.flush()
|
python
|
def summarize_metrics(eval_metrics_writer, metrics, epoch):
"""Write metrics to summary."""
for (name, value) in six.iteritems(metrics):
summary = tf.Summary()
summary.value.add(tag=name, simple_value=value)
eval_metrics_writer.add_summary(summary, epoch)
eval_metrics_writer.flush()
|
[
"def",
"summarize_metrics",
"(",
"eval_metrics_writer",
",",
"metrics",
",",
"epoch",
")",
":",
"for",
"(",
"name",
",",
"value",
")",
"in",
"six",
".",
"iteritems",
"(",
"metrics",
")",
":",
"summary",
"=",
"tf",
".",
"Summary",
"(",
")",
"summary",
".",
"value",
".",
"add",
"(",
"tag",
"=",
"name",
",",
"simple_value",
"=",
"value",
")",
"eval_metrics_writer",
".",
"add_summary",
"(",
"summary",
",",
"epoch",
")",
"eval_metrics_writer",
".",
"flush",
"(",
")"
] |
Write metrics to summary.
|
[
"Write",
"metrics",
"to",
"summary",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/rl_utils.py#L252-L258
|
train
|
Write metrics to summary.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b10110 + 0o34) + '\x37' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1267 - 1219) + '\x6f' + chr(0b110111) + '\064', 0o10), ehT0Px3KOsy9(chr(733 - 685) + '\x6f' + '\x32' + chr(1007 - 956) + chr(1343 - 1292), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11789 - 11678) + chr(51) + chr(2169 - 2116) + chr(2363 - 2311), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(145 - 91) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b11100 + 0o30), 0b1000), ehT0Px3KOsy9('\x30' + chr(2312 - 2201) + chr(0b11101 + 0o26) + chr(0b11 + 0o63) + chr(1699 - 1645), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(0b100101 + 0o16) + chr(1579 - 1526) + '\x30', 0b1000), ehT0Px3KOsy9(chr(540 - 492) + chr(111) + '\x36' + '\064', 51573 - 51565), ehT0Px3KOsy9('\060' + chr(111) + chr(1319 - 1269) + chr(0b110001) + chr(0b11000 + 0o35), 0b1000), ehT0Px3KOsy9('\x30' + chr(10867 - 10756) + chr(0b1110 + 0o43) + '\060' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9835 - 9724) + '\061' + chr(50) + chr(2140 - 2088), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101010 + 0o105) + chr(51) + chr(50) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101000 + 0o7) + chr(0b110001 + 0o0) + '\061', 45853 - 45845), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(2646 - 2594) + chr(1248 - 1199), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(821 - 771), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b111 + 0o150) + '\x35' + chr(0b101100 + 0o5), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x31' + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b110011) + chr(0b101001 + 0o14), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(52) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + '\x33' + chr(499 - 448), 63497 - 63489), ehT0Px3KOsy9(chr(186 - 138) + chr(111) + '\x32' + '\067' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1288 - 1240) + chr(0b1011101 + 0o22) + '\062' + chr(50) + '\x34', 53295 - 53287), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101001 + 0o6) + '\065', 18385 - 18377), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\064' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\x37' + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001000 + 0o47) + chr(0b110001) + chr(0b110100) + '\060', 52976 - 52968), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + chr(0b1000 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(530 - 482) + chr(8374 - 8263) + chr(1537 - 1488) + '\x36' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + '\x32' + chr(0b1011 + 0o50) + chr(53), 8), ehT0Px3KOsy9(chr(1036 - 988) + chr(0b1101111) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\x31' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\x30' + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1531 - 1480) + chr(0b101 + 0o54) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1804 - 1755) + chr(48) + chr(0b110 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(48) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9408 - 9297) + '\063' + chr(0b101110 + 0o4) + chr(48), 30960 - 30952), ehT0Px3KOsy9('\060' + '\157' + chr(2035 - 1986) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1556 - 1508) + '\x6f' + '\x32' + chr(51) + chr(348 - 297), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(1414 - 1361) + chr(0b100100 + 0o14), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x91'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(111) + '\x64' + '\145')(chr(117) + chr(7987 - 7871) + '\x66' + '\055' + chr(0b11111 + 0o31)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Vm4oSGoLp4yc(mOm1AorxMOLi, yYegMqDoSfs5, LWTVW06OsTjl):
for (AIvJRzLdDfgF, QmmgWUB13VCJ) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6H\xfe\x9e\\p\x93\x85G'), '\x64' + '\x65' + chr(99) + chr(111) + '\144' + '\x65')(chr(6009 - 5892) + chr(0b1110100) + '\x66' + '\055' + '\070'))(yYegMqDoSfs5):
oLgyQ45ORWXM = IDJ2eXGCBCDu.Summary()
xafqLlk3kkUe(oLgyQ45ORWXM.value, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdeX\xff'), '\144' + '\x65' + chr(7641 - 7542) + '\157' + chr(0b1100100) + '\145')(chr(4917 - 4800) + chr(0b1110100) + chr(4733 - 4631) + '\x2d' + chr(2371 - 2315)))(tag=AIvJRzLdDfgF, simple_value=QmmgWUB13VCJ)
xafqLlk3kkUe(mOm1AorxMOLi, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdeX\xff\xb3Fq\x9b\x85U\xff:'), chr(100) + '\145' + chr(99) + '\157' + chr(100) + '\145')('\x75' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(2126 - 2070)))(oLgyQ45ORWXM, LWTVW06OsTjl)
xafqLlk3kkUe(mOm1AorxMOLi, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9P\xee\x9f]'), '\144' + chr(0b1100101) + '\143' + '\157' + chr(0b1100100) + chr(10149 - 10048))('\165' + chr(0b1110100) + chr(0b1100110) + '\055' + '\x38'))()
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/rl_utils.py
|
full_game_name
|
def full_game_name(short_name):
"""CamelCase game name with mode suffix.
Args:
short_name: snake_case name without mode e.g "crazy_climber"
Returns:
full game name e.g. "CrazyClimberNoFrameskip-v4"
"""
camel_game_name = misc_utils.snakecase_to_camelcase(short_name)
full_name = camel_game_name + ATARI_GAME_MODE
return full_name
|
python
|
def full_game_name(short_name):
"""CamelCase game name with mode suffix.
Args:
short_name: snake_case name without mode e.g "crazy_climber"
Returns:
full game name e.g. "CrazyClimberNoFrameskip-v4"
"""
camel_game_name = misc_utils.snakecase_to_camelcase(short_name)
full_name = camel_game_name + ATARI_GAME_MODE
return full_name
|
[
"def",
"full_game_name",
"(",
"short_name",
")",
":",
"camel_game_name",
"=",
"misc_utils",
".",
"snakecase_to_camelcase",
"(",
"short_name",
")",
"full_name",
"=",
"camel_game_name",
"+",
"ATARI_GAME_MODE",
"return",
"full_name"
] |
CamelCase game name with mode suffix.
Args:
short_name: snake_case name without mode e.g "crazy_climber"
Returns:
full game name e.g. "CrazyClimberNoFrameskip-v4"
|
[
"CamelCase",
"game",
"name",
"with",
"mode",
"suffix",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/rl_utils.py#L270-L281
|
train
|
CamelCase game name with mode suffix.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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' + '\x32' + chr(53) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(311 - 263) + '\157' + '\062' + chr(0b110111) + '\065', 14929 - 14921), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(1056 - 1008) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + chr(0b110010) + '\x36' + chr(0b100111 + 0o17), 0o10), ehT0Px3KOsy9(chr(1834 - 1786) + chr(0b1101111) + chr(51) + chr(1041 - 988) + chr(322 - 274), 0o10), ehT0Px3KOsy9(chr(1359 - 1311) + chr(0b100101 + 0o112) + chr(0b110001) + chr(53) + chr(0b110101 + 0o1), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\x36' + chr(1280 - 1225), 0o10), ehT0Px3KOsy9('\x30' + chr(10324 - 10213) + '\062' + chr(1737 - 1688) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(694 - 645) + '\065' + '\x31', 0o10), ehT0Px3KOsy9(chr(216 - 168) + chr(0b101110 + 0o101) + '\x32' + chr(54), 0o10), ehT0Px3KOsy9(chr(1502 - 1454) + chr(0b1101111) + chr(0b110001) + chr(0b110000) + chr(2525 - 2474), 0b1000), ehT0Px3KOsy9(chr(748 - 700) + '\157' + chr(1938 - 1887) + chr(0b1101 + 0o46) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(54) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(303 - 192) + '\063' + '\x30' + chr(663 - 609), 49467 - 49459), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + chr(49) + chr(0b101000 + 0o17) + chr(0b111 + 0o54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(54) + chr(0b100 + 0o57), 0o10), ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + chr(1573 - 1518) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110100) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(2686 - 2631) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110111) + chr(484 - 432), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(446 - 335) + chr(55) + chr(1992 - 1941), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101011 + 0o104) + chr(51) + '\x30' + chr(218 - 166), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(54) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(1295 - 1184) + '\063' + chr(1634 - 1582), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1361 - 1310) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b110100) + '\x36', 59034 - 59026), ehT0Px3KOsy9(chr(205 - 157) + chr(0b1101111) + '\x32' + chr(2551 - 2497) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(7097 - 6986) + chr(963 - 914) + chr(0b1101 + 0o51) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(2258 - 2210) + chr(0b1101111) + chr(509 - 458) + '\064' + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(10689 - 10578) + '\062' + chr(0b110110) + chr(0b11110 + 0o30), 8), ehT0Px3KOsy9(chr(95 - 47) + chr(0b1000001 + 0o56) + '\061' + '\x37' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(79 - 31) + chr(111) + chr(0b110011) + '\067' + chr(1478 - 1425), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\x31' + chr(0b11001 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10907 - 10796) + chr(0b11110 + 0o24) + '\x31' + chr(315 - 260), 60542 - 60534), ehT0Px3KOsy9(chr(1615 - 1567) + chr(111) + chr(0b110010) + '\x31' + '\067', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110 + 0o53) + chr(1298 - 1249) + chr(1938 - 1884), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\065' + chr(1286 - 1232), 8), ehT0Px3KOsy9('\060' + chr(641 - 530) + chr(848 - 797) + '\064' + '\x36', 8), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(49) + chr(0b110011 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(0b110001 + 0o0) + chr(48) + chr(1139 - 1088), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + '\x35' + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x80'), chr(0b1100100) + chr(6619 - 6518) + chr(0b1100011) + '\x6f' + '\144' + '\145')(chr(117) + chr(0b1110100) + chr(0b110001 + 0o65) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def JIIDqZfSa1Lv(HNxsAqeGEbhb):
gFzaQi3Vkne9 = kQW8mMspQUIu.snakecase_to_camelcase(HNxsAqeGEbhb)
je7_3_Zvuq2o = gFzaQi3Vkne9 + EzYhmiJ3VNWY
return je7_3_Zvuq2o
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/rl_utils.py
|
setup_env
|
def setup_env(hparams,
batch_size,
max_num_noops,
rl_env_max_episode_steps=-1,
env_name=None):
"""Setup."""
if not env_name:
env_name = full_game_name(hparams.game)
maxskip_envs = should_apply_max_and_skip_env(hparams)
env = T2TGymEnv(
base_env_name=env_name,
batch_size=batch_size,
grayscale=hparams.grayscale,
should_derive_observation_space=hparams
.rl_should_derive_observation_space,
resize_width_factor=hparams.resize_width_factor,
resize_height_factor=hparams.resize_height_factor,
rl_env_max_episode_steps=rl_env_max_episode_steps,
max_num_noops=max_num_noops,
maxskip_envs=maxskip_envs,
sticky_actions=hparams.sticky_actions
)
return env
|
python
|
def setup_env(hparams,
batch_size,
max_num_noops,
rl_env_max_episode_steps=-1,
env_name=None):
"""Setup."""
if not env_name:
env_name = full_game_name(hparams.game)
maxskip_envs = should_apply_max_and_skip_env(hparams)
env = T2TGymEnv(
base_env_name=env_name,
batch_size=batch_size,
grayscale=hparams.grayscale,
should_derive_observation_space=hparams
.rl_should_derive_observation_space,
resize_width_factor=hparams.resize_width_factor,
resize_height_factor=hparams.resize_height_factor,
rl_env_max_episode_steps=rl_env_max_episode_steps,
max_num_noops=max_num_noops,
maxskip_envs=maxskip_envs,
sticky_actions=hparams.sticky_actions
)
return env
|
[
"def",
"setup_env",
"(",
"hparams",
",",
"batch_size",
",",
"max_num_noops",
",",
"rl_env_max_episode_steps",
"=",
"-",
"1",
",",
"env_name",
"=",
"None",
")",
":",
"if",
"not",
"env_name",
":",
"env_name",
"=",
"full_game_name",
"(",
"hparams",
".",
"game",
")",
"maxskip_envs",
"=",
"should_apply_max_and_skip_env",
"(",
"hparams",
")",
"env",
"=",
"T2TGymEnv",
"(",
"base_env_name",
"=",
"env_name",
",",
"batch_size",
"=",
"batch_size",
",",
"grayscale",
"=",
"hparams",
".",
"grayscale",
",",
"should_derive_observation_space",
"=",
"hparams",
".",
"rl_should_derive_observation_space",
",",
"resize_width_factor",
"=",
"hparams",
".",
"resize_width_factor",
",",
"resize_height_factor",
"=",
"hparams",
".",
"resize_height_factor",
",",
"rl_env_max_episode_steps",
"=",
"rl_env_max_episode_steps",
",",
"max_num_noops",
"=",
"max_num_noops",
",",
"maxskip_envs",
"=",
"maxskip_envs",
",",
"sticky_actions",
"=",
"hparams",
".",
"sticky_actions",
")",
"return",
"env"
] |
Setup.
|
[
"Setup",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/rl_utils.py#L289-L313
|
train
|
Setup.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(1600 - 1549) + '\061' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b100 + 0o55) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100111 + 0o14) + chr(1952 - 1903) + '\x34', 0b1000), ehT0Px3KOsy9(chr(864 - 816) + chr(9810 - 9699) + chr(0b110 + 0o54) + '\066' + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1919 - 1870) + chr(2496 - 2446) + '\x32', 9411 - 9403), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b10100 + 0o42) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100011 + 0o114) + chr(51) + chr(54) + chr(0b10111 + 0o34), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b111 + 0o53) + chr(0b110011 + 0o1), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(0b11001 + 0o32) + chr(0b100101 + 0o17) + chr(233 - 181), 62082 - 62074), ehT0Px3KOsy9('\060' + chr(9782 - 9671) + chr(50) + '\064' + chr(2383 - 2329), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1911 - 1861) + chr(0b110110) + chr(54), 0b1000), ehT0Px3KOsy9(chr(448 - 400) + '\x6f' + '\061' + chr(2243 - 2195), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x37' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + '\x32' + chr(0b101101 + 0o7) + chr(0b110001 + 0o3), 41654 - 41646), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1001111 + 0o40) + chr(51) + '\061' + chr(52), 8), ehT0Px3KOsy9(chr(2179 - 2131) + chr(0b111 + 0o150) + chr(97 - 48) + '\x36' + '\063', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + '\x33' + chr(50) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b110000) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\x33' + chr(0b10110 + 0o41), 21366 - 21358), ehT0Px3KOsy9('\060' + '\157' + chr(0b1111 + 0o42) + chr(0b10010 + 0o44) + chr(843 - 792), 8), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\x31' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(798 - 750) + chr(0b11011 + 0o124) + '\062' + chr(55) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10100 + 0o35) + '\066' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8013 - 7902) + chr(0b110010) + chr(0b110110) + '\060', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b1000 + 0o52), 4250 - 4242), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\063' + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(2770 - 2659) + chr(858 - 808) + '\061' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110100) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1160 - 1112) + '\157' + chr(0b10110 + 0o34) + '\x35' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(82 - 31) + chr(600 - 545) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(50) + chr(0b110010) + chr(55), 19281 - 19273), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\061' + '\x31', 8), ehT0Px3KOsy9(chr(192 - 144) + chr(0b1101111) + '\x35' + chr(0b10000 + 0o46), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1100 + 0o47) + chr(0b100010 + 0o23) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1959 - 1910), 20490 - 20482), ehT0Px3KOsy9('\x30' + chr(7307 - 7196) + '\x33' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111110 + 0o61) + '\061' + chr(0b110101) + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(49) + chr(55), 0o10), ehT0Px3KOsy9(chr(1703 - 1655) + chr(111) + chr(1486 - 1433) + chr(53), 30727 - 30719), ehT0Px3KOsy9(chr(0b110000) + chr(2478 - 2367) + chr(0b101000 + 0o13) + chr(0b110111), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\065' + '\x30', 4063 - 4055)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1'), '\144' + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\x64' + '\x65')('\x75' + '\x74' + chr(4685 - 4583) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def I0u_oaLYCrbw(n4ljua2gi1Pr, ix9dZyeAmUxY, PNkPtpEftL3Z, ET_18a6M9KrY=-ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 8), IPxLziQW1Fo8=None):
if not IPxLziQW1Fo8:
IPxLziQW1Fo8 = JIIDqZfSa1Lv(n4ljua2gi1Pr.HeBgEuhWIg0z)
nWRckKZD7MVR = OAg8mTKcSaY1(n4ljua2gi1Pr)
xzsHIGfR8Ip5 = wnqKHKfBkv7p(base_env_name=IPxLziQW1Fo8, batch_size=ix9dZyeAmUxY, grayscale=n4ljua2gi1Pr.iVrnJKHOeGmG, should_derive_observation_space=n4ljua2gi1Pr.SORSmAeTEyRZ, resize_width_factor=n4ljua2gi1Pr.VhuiRt_czun8, resize_height_factor=n4ljua2gi1Pr.HR4yzxLpriG7, rl_env_max_episode_steps=ET_18a6M9KrY, max_num_noops=PNkPtpEftL3Z, maxskip_envs=nWRckKZD7MVR, sticky_actions=n4ljua2gi1Pr.sticky_actions)
return xzsHIGfR8Ip5
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/rl_utils.py
|
update_hparams_from_hparams
|
def update_hparams_from_hparams(target_hparams, source_hparams, prefix):
"""Copy a subset of hparams to target_hparams."""
for (param_name, param_value) in six.iteritems(source_hparams.values()):
if param_name.startswith(prefix):
target_hparams.set_hparam(param_name[len(prefix):], param_value)
|
python
|
def update_hparams_from_hparams(target_hparams, source_hparams, prefix):
"""Copy a subset of hparams to target_hparams."""
for (param_name, param_value) in six.iteritems(source_hparams.values()):
if param_name.startswith(prefix):
target_hparams.set_hparam(param_name[len(prefix):], param_value)
|
[
"def",
"update_hparams_from_hparams",
"(",
"target_hparams",
",",
"source_hparams",
",",
"prefix",
")",
":",
"for",
"(",
"param_name",
",",
"param_value",
")",
"in",
"six",
".",
"iteritems",
"(",
"source_hparams",
".",
"values",
"(",
")",
")",
":",
"if",
"param_name",
".",
"startswith",
"(",
"prefix",
")",
":",
"target_hparams",
".",
"set_hparam",
"(",
"param_name",
"[",
"len",
"(",
"prefix",
")",
":",
"]",
",",
"param_value",
")"
] |
Copy a subset of hparams to target_hparams.
|
[
"Copy",
"a",
"subset",
"of",
"hparams",
"to",
"target_hparams",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/rl_utils.py#L316-L320
|
train
|
Copy a subset of hparams to target_hparams.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b101000 + 0o107) + chr(0b10011 + 0o40) + '\x35' + chr(0b110011 + 0o2), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10010 + 0o41) + '\x36' + chr(717 - 665), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(802 - 751) + chr(50) + chr(1246 - 1196), 21305 - 21297), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1235 - 1184) + '\064' + '\061', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100001 + 0o22) + '\x37' + chr(0b11010 + 0o34), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\062' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(363 - 252) + chr(0b101011 + 0o6) + chr(0b11011 + 0o25) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(3942 - 3831) + chr(1259 - 1210) + chr(50) + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b101100 + 0o5) + '\063' + chr(0b100010 + 0o17), 16729 - 16721), ehT0Px3KOsy9(chr(1030 - 982) + chr(111) + chr(2008 - 1958) + chr(1789 - 1741) + chr(0b1000 + 0o55), 13893 - 13885), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + '\062' + chr(1610 - 1558) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b0 + 0o65) + chr(51), 6903 - 6895), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2935 - 2824) + chr(92 - 42) + '\066' + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(1210 - 1099) + chr(1750 - 1700) + chr(1392 - 1338) + '\x37', 0b1000), ehT0Px3KOsy9(chr(1380 - 1332) + chr(0b101 + 0o152) + '\062' + chr(0b11110 + 0o26) + chr(54), 13106 - 13098), ehT0Px3KOsy9('\x30' + chr(7777 - 7666) + chr(0b110010) + '\x31' + chr(1740 - 1687), 0b1000), ehT0Px3KOsy9(chr(691 - 643) + chr(0b1010010 + 0o35) + chr(1235 - 1187), 40691 - 40683), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(600 - 546) + chr(445 - 395), 47072 - 47064), ehT0Px3KOsy9(chr(342 - 294) + '\x6f' + chr(0b110011) + chr(0b101010 + 0o7) + chr(1019 - 970), 0o10), ehT0Px3KOsy9('\060' + chr(0b101011 + 0o104) + chr(0b11 + 0o56) + chr(1681 - 1630) + chr(0b110111), 45231 - 45223), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101 + 0o56) + chr(2162 - 2111) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2134 - 2084) + chr(48) + chr(0b10100 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1 + 0o60) + chr(0b1100 + 0o50) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + chr(50) + chr(0b101111 + 0o4) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(11848 - 11737) + '\063' + '\x37' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11010 + 0o27) + '\060' + '\063', 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(51) + chr(0b110111) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + chr(0b110010) + chr(0b110011) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(3400 - 3289) + chr(50) + chr(0b110101) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(1758 - 1710) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(52) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(1810 - 1699) + chr(0b1 + 0o61) + chr(2235 - 2183) + '\063', 51772 - 51764), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + '\063' + '\064', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(49) + chr(0b11011 + 0o32), 0o10), ehT0Px3KOsy9('\x30' + chr(1830 - 1719) + chr(0b110001) + '\x36' + chr(0b101 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(1226 - 1178) + '\x6f' + '\063' + chr(0b1110 + 0o50) + '\x30', 59370 - 59362), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b10 + 0o155) + chr(1977 - 1926) + '\x35' + chr(2298 - 2245), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(2216 - 2166) + chr(2504 - 2452), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(1938 - 1885) + '\x30', 51044 - 51036)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3'), '\144' + '\x65' + '\143' + chr(111) + chr(9482 - 9382) + '\x65')(chr(0b111010 + 0o73) + chr(12681 - 12565) + chr(0b1100110) + chr(0b101101) + chr(0b101011 + 0o15)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def E2hBMYtZfiNO(v3660U7B7YGj, GP848ovMVIxa, K1Ha0XjJTAE7):
for (LwwoV1LmMhGU, sOtdqr0TvVnd) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\x80\xb7\x93\x97 &;*'), chr(0b1100100) + chr(7373 - 7272) + chr(99) + '\157' + '\x64' + '\145')(chr(117) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b100110 + 0o22)))(xafqLlk3kkUe(GP848ovMVIxa, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\xa4\xbc\xa2\xb0!vb\x11\xb4\xc6\xc9'), chr(7019 - 6919) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\145')('\165' + chr(0b1110100) + '\x66' + chr(846 - 801) + chr(2128 - 2072)))()):
if xafqLlk3kkUe(LwwoV1LmMhGU, xafqLlk3kkUe(SXOLrMavuUCe(b"\x9e\x80\xb3\x93\x8a'4?-\xed"), '\144' + chr(0b110101 + 0o60) + '\x63' + '\x6f' + chr(0b1001 + 0o133) + chr(7903 - 7802))(chr(0b1000000 + 0o65) + chr(0b1110100) + chr(0b1011001 + 0o15) + chr(0b100010 + 0o13) + '\070'))(K1Ha0XjJTAE7):
xafqLlk3kkUe(v3660U7B7YGj, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x91\xa6\xbe\x96$"$8\xe8'), chr(100) + '\145' + chr(99) + '\x6f' + chr(100) + '\x65')(chr(117) + chr(4428 - 4312) + chr(0b1100110) + '\055' + chr(56)))(LwwoV1LmMhGU[c2A0yzQpDQB3(K1Ha0XjJTAE7):], sOtdqr0TvVnd)
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/rl_utils.py
|
random_rollout_subsequences
|
def random_rollout_subsequences(rollouts, num_subsequences, subsequence_length):
"""Chooses a random frame sequence of given length from a set of rollouts."""
def choose_subsequence():
# TODO(koz4k): Weigh rollouts by their lengths so sampling is uniform over
# frames and not rollouts.
rollout = random.choice(rollouts)
try:
from_index = random.randrange(len(rollout) - subsequence_length + 1)
except ValueError:
# Rollout too short; repeat.
return choose_subsequence()
return rollout[from_index:(from_index + subsequence_length)]
return [choose_subsequence() for _ in range(num_subsequences)]
|
python
|
def random_rollout_subsequences(rollouts, num_subsequences, subsequence_length):
"""Chooses a random frame sequence of given length from a set of rollouts."""
def choose_subsequence():
# TODO(koz4k): Weigh rollouts by their lengths so sampling is uniform over
# frames and not rollouts.
rollout = random.choice(rollouts)
try:
from_index = random.randrange(len(rollout) - subsequence_length + 1)
except ValueError:
# Rollout too short; repeat.
return choose_subsequence()
return rollout[from_index:(from_index + subsequence_length)]
return [choose_subsequence() for _ in range(num_subsequences)]
|
[
"def",
"random_rollout_subsequences",
"(",
"rollouts",
",",
"num_subsequences",
",",
"subsequence_length",
")",
":",
"def",
"choose_subsequence",
"(",
")",
":",
"# TODO(koz4k): Weigh rollouts by their lengths so sampling is uniform over",
"# frames and not rollouts.",
"rollout",
"=",
"random",
".",
"choice",
"(",
"rollouts",
")",
"try",
":",
"from_index",
"=",
"random",
".",
"randrange",
"(",
"len",
"(",
"rollout",
")",
"-",
"subsequence_length",
"+",
"1",
")",
"except",
"ValueError",
":",
"# Rollout too short; repeat.",
"return",
"choose_subsequence",
"(",
")",
"return",
"rollout",
"[",
"from_index",
":",
"(",
"from_index",
"+",
"subsequence_length",
")",
"]",
"return",
"[",
"choose_subsequence",
"(",
")",
"for",
"_",
"in",
"range",
"(",
"num_subsequences",
")",
"]"
] |
Chooses a random frame sequence of given length from a set of rollouts.
|
[
"Chooses",
"a",
"random",
"frame",
"sequence",
"of",
"given",
"length",
"from",
"a",
"set",
"of",
"rollouts",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/rl_utils.py#L323-L336
|
train
|
Chooses a random frame sequence of given length from a set of rollouts.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(50) + chr(0b10010 + 0o37) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1110 + 0o141) + chr(744 - 695) + chr(0b110011) + chr(49), 0o10), ehT0Px3KOsy9(chr(1873 - 1825) + chr(0b1010010 + 0o35) + chr(50) + chr(0b100000 + 0o24) + chr(0b100000 + 0o24), 0b1000), ehT0Px3KOsy9(chr(1033 - 985) + '\157' + '\062' + chr(1140 - 1088) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(5696 - 5585) + chr(0b110011) + chr(54) + chr(49), 42596 - 42588), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(49) + '\x33' + chr(0b1010 + 0o50), 1642 - 1634), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1040 - 990) + chr(0b110001) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110000) + chr(0b10 + 0o60), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(364 - 310), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1371 - 1321) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10000 + 0o137) + chr(0b10000 + 0o43) + chr(1492 - 1444), ord("\x08")), ehT0Px3KOsy9(chr(511 - 463) + '\x6f' + chr(49) + '\x34' + chr(1393 - 1340), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1437 - 1386) + chr(0b110110) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110110), 8), ehT0Px3KOsy9(chr(1766 - 1718) + '\x6f' + '\063' + '\067' + chr(0b11001 + 0o35), 24227 - 24219), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + chr(51) + chr(0b110011) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x31' + '\062', 17395 - 17387), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100100 + 0o22) + chr(0b110001), 37064 - 37056), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1952 - 1902) + chr(0b110 + 0o61) + '\067', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1010010 + 0o35) + chr(0b110011) + chr(1423 - 1370) + '\066', 15333 - 15325), ehT0Px3KOsy9('\060' + chr(926 - 815) + '\066' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(0b110110) + chr(0b11010 + 0o32), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(52) + chr(0b10 + 0o63), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\066' + '\x35', 8), ehT0Px3KOsy9(chr(1062 - 1014) + chr(0b111011 + 0o64) + chr(862 - 811) + '\062' + '\x35', 0o10), ehT0Px3KOsy9(chr(65 - 17) + chr(0b1101111) + chr(0b110001) + '\x33' + chr(0b110001 + 0o6), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(48) + '\x32', 0o10), ehT0Px3KOsy9(chr(296 - 248) + '\157' + '\x32' + chr(1984 - 1931) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b110000), 8), ehT0Px3KOsy9(chr(101 - 53) + '\157' + chr(50) + chr(1145 - 1091) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001010 + 0o45) + '\x36' + chr(0b101000 + 0o13), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(1296 - 1248) + chr(730 - 681), 58687 - 58679), ehT0Px3KOsy9(chr(48) + chr(4425 - 4314) + chr(2593 - 2540) + '\063', 18421 - 18413), ehT0Px3KOsy9(chr(1389 - 1341) + chr(0b1101111) + chr(51) + '\x33' + chr(0b110010), 30408 - 30400), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100000 + 0o22) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b100 + 0o57) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(2696 - 2643) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1164 - 1115) + chr(0b10010 + 0o44) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(315 - 264) + chr(0b0 + 0o65) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1400 - 1352) + '\157' + chr(0b110011) + chr(974 - 921) + chr(0b110111), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10011 + 0o42) + chr(0b11100 + 0o24), 60445 - 60437)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7'), chr(0b10010 + 0o122) + chr(0b1100101) + chr(99) + chr(0b1101111) + '\x64' + '\145')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def P3ZH3L37QrXz(P3dEj3797dMK, rvn7inZUholR, Ld1cRF2NzXk7):
def mGtwMBCIWAZn():
t5VWs_TV1khc = drxw09AdRdci.choice(P3dEj3797dMK)
try:
bkOV2IVHzxlG = drxw09AdRdci.randrange(c2A0yzQpDQB3(t5VWs_TV1khc) - Ld1cRF2NzXk7 + ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + chr(49), 0o10))
except q1QCh3W88sgk:
return mGtwMBCIWAZn()
return t5VWs_TV1khc[bkOV2IVHzxlG:bkOV2IVHzxlG + Ld1cRF2NzXk7]
return [mGtwMBCIWAZn() for VNGQdHSFPrso in vQr8gNKaIaWE(rvn7inZUholR)]
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/rl_utils.py
|
make_initial_frame_chooser
|
def make_initial_frame_chooser(
real_env, frame_stack_size, simulation_random_starts,
simulation_flip_first_random_for_beginning,
split=tf.estimator.ModeKeys.TRAIN,
):
"""Make frame chooser.
Args:
real_env: T2TEnv to take initial frames from.
frame_stack_size (int): Number of consecutive frames to extract.
simulation_random_starts (bool): Whether to choose frames at random.
simulation_flip_first_random_for_beginning (bool): Whether to flip the first
frame stack in every batch for the frames at the beginning.
split (tf.estimator.ModeKeys or None): Data split to take the frames from,
None means use all frames.
Returns:
Function batch_size -> initial_frames.
"""
initial_frame_rollouts = real_env.current_epoch_rollouts(
split=split, minimal_rollout_frames=frame_stack_size,
)
def initial_frame_chooser(batch_size):
"""Frame chooser."""
deterministic_initial_frames =\
initial_frame_rollouts[0][:frame_stack_size]
if not simulation_random_starts:
# Deterministic starts: repeat first frames from the first rollout.
initial_frames = [deterministic_initial_frames] * batch_size
else:
# Random starts: choose random initial frames from random rollouts.
initial_frames = random_rollout_subsequences(
initial_frame_rollouts, batch_size, frame_stack_size
)
if simulation_flip_first_random_for_beginning:
# Flip first entry in the batch for deterministic initial frames.
initial_frames[0] = deterministic_initial_frames
return np.stack([
[frame.observation.decode() for frame in initial_frame_stack] # pylint: disable=g-complex-comprehension
for initial_frame_stack in initial_frames
])
return initial_frame_chooser
|
python
|
def make_initial_frame_chooser(
real_env, frame_stack_size, simulation_random_starts,
simulation_flip_first_random_for_beginning,
split=tf.estimator.ModeKeys.TRAIN,
):
"""Make frame chooser.
Args:
real_env: T2TEnv to take initial frames from.
frame_stack_size (int): Number of consecutive frames to extract.
simulation_random_starts (bool): Whether to choose frames at random.
simulation_flip_first_random_for_beginning (bool): Whether to flip the first
frame stack in every batch for the frames at the beginning.
split (tf.estimator.ModeKeys or None): Data split to take the frames from,
None means use all frames.
Returns:
Function batch_size -> initial_frames.
"""
initial_frame_rollouts = real_env.current_epoch_rollouts(
split=split, minimal_rollout_frames=frame_stack_size,
)
def initial_frame_chooser(batch_size):
"""Frame chooser."""
deterministic_initial_frames =\
initial_frame_rollouts[0][:frame_stack_size]
if not simulation_random_starts:
# Deterministic starts: repeat first frames from the first rollout.
initial_frames = [deterministic_initial_frames] * batch_size
else:
# Random starts: choose random initial frames from random rollouts.
initial_frames = random_rollout_subsequences(
initial_frame_rollouts, batch_size, frame_stack_size
)
if simulation_flip_first_random_for_beginning:
# Flip first entry in the batch for deterministic initial frames.
initial_frames[0] = deterministic_initial_frames
return np.stack([
[frame.observation.decode() for frame in initial_frame_stack] # pylint: disable=g-complex-comprehension
for initial_frame_stack in initial_frames
])
return initial_frame_chooser
|
[
"def",
"make_initial_frame_chooser",
"(",
"real_env",
",",
"frame_stack_size",
",",
"simulation_random_starts",
",",
"simulation_flip_first_random_for_beginning",
",",
"split",
"=",
"tf",
".",
"estimator",
".",
"ModeKeys",
".",
"TRAIN",
",",
")",
":",
"initial_frame_rollouts",
"=",
"real_env",
".",
"current_epoch_rollouts",
"(",
"split",
"=",
"split",
",",
"minimal_rollout_frames",
"=",
"frame_stack_size",
",",
")",
"def",
"initial_frame_chooser",
"(",
"batch_size",
")",
":",
"\"\"\"Frame chooser.\"\"\"",
"deterministic_initial_frames",
"=",
"initial_frame_rollouts",
"[",
"0",
"]",
"[",
":",
"frame_stack_size",
"]",
"if",
"not",
"simulation_random_starts",
":",
"# Deterministic starts: repeat first frames from the first rollout.",
"initial_frames",
"=",
"[",
"deterministic_initial_frames",
"]",
"*",
"batch_size",
"else",
":",
"# Random starts: choose random initial frames from random rollouts.",
"initial_frames",
"=",
"random_rollout_subsequences",
"(",
"initial_frame_rollouts",
",",
"batch_size",
",",
"frame_stack_size",
")",
"if",
"simulation_flip_first_random_for_beginning",
":",
"# Flip first entry in the batch for deterministic initial frames.",
"initial_frames",
"[",
"0",
"]",
"=",
"deterministic_initial_frames",
"return",
"np",
".",
"stack",
"(",
"[",
"[",
"frame",
".",
"observation",
".",
"decode",
"(",
")",
"for",
"frame",
"in",
"initial_frame_stack",
"]",
"# pylint: disable=g-complex-comprehension",
"for",
"initial_frame_stack",
"in",
"initial_frames",
"]",
")",
"return",
"initial_frame_chooser"
] |
Make frame chooser.
Args:
real_env: T2TEnv to take initial frames from.
frame_stack_size (int): Number of consecutive frames to extract.
simulation_random_starts (bool): Whether to choose frames at random.
simulation_flip_first_random_for_beginning (bool): Whether to flip the first
frame stack in every batch for the frames at the beginning.
split (tf.estimator.ModeKeys or None): Data split to take the frames from,
None means use all frames.
Returns:
Function batch_size -> initial_frames.
|
[
"Make",
"frame",
"chooser",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/rl_utils.py#L339-L382
|
train
|
Create a function to choose initial frames from a single rollout.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(49) + chr(49) + chr(54), 10747 - 10739), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(0b101010 + 0o7) + chr(0b110110) + chr(0b101010 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1420 - 1371) + chr(0b1110 + 0o47) + chr(2073 - 2022), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b10001 + 0o37) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + '\x33' + '\x37' + '\066', 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(8002 - 7891) + '\061' + chr(48) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\x35' + '\x30', 32712 - 32704), ehT0Px3KOsy9('\x30' + chr(0b1011101 + 0o22) + chr(0b100111 + 0o15) + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100000 + 0o23) + chr(857 - 807) + '\060', 0o10), ehT0Px3KOsy9(chr(2051 - 2003) + '\x6f' + chr(50) + chr(50) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(0b110001) + chr(0b110101) + chr(1609 - 1559), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10100 + 0o35) + '\x31' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(49) + chr(2877 - 2822), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + '\064' + '\064', 49907 - 49899), ehT0Px3KOsy9(chr(48) + chr(8842 - 8731) + chr(51) + '\060' + chr(0b110110), 30415 - 30407), ehT0Px3KOsy9('\060' + '\x6f' + '\064' + chr(0b1101 + 0o43), 30775 - 30767), ehT0Px3KOsy9('\060' + '\157' + '\066' + chr(0b1 + 0o57), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(0b10110 + 0o33) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x31' + chr(0b110001 + 0o6), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110111) + chr(1252 - 1201), 0b1000), ehT0Px3KOsy9(chr(1393 - 1345) + '\157' + chr(1873 - 1823) + chr(0b110010), 64017 - 64009), ehT0Px3KOsy9(chr(1688 - 1640) + chr(0b1011101 + 0o22) + chr(987 - 935) + chr(601 - 553), 8), ehT0Px3KOsy9(chr(1441 - 1393) + '\157' + chr(55) + chr(0b11110 + 0o27), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b110001) + chr(0b110101 + 0o1), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101 + 0o142) + chr(0b110111) + '\x37', 51635 - 51627), ehT0Px3KOsy9('\060' + chr(111) + chr(1428 - 1377) + chr(50) + chr(1436 - 1383), 0o10), ehT0Px3KOsy9('\060' + chr(6541 - 6430) + chr(0b110011) + chr(54) + '\062', 46777 - 46769), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b110011) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(261 - 213) + chr(3518 - 3407) + chr(50) + '\060' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(55) + chr(1524 - 1476), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100010 + 0o21) + chr(0b110111) + chr(54), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + '\x32' + chr(49) + '\x36', 51704 - 51696), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1000 + 0o51) + chr(797 - 749), 8), ehT0Px3KOsy9(chr(207 - 159) + chr(111) + chr(2182 - 2133) + chr(52) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b10000 + 0o41) + chr(0b11000 + 0o33) + chr(601 - 551), 39639 - 39631), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(50) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1002 - 953) + chr(0b110110) + '\064', 51857 - 51849), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(53) + chr(0b110101), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(12216 - 12105) + chr(53) + chr(0b110000), 38471 - 38463)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'`'), chr(0b1000111 + 0o35) + chr(1060 - 959) + '\143' + chr(111) + chr(100) + '\145')(chr(117) + '\164' + chr(102) + '\055' + chr(399 - 343)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Da_409AkfyGy(EgS9dR_BAieQ, YYpMgs8WK8M7, fJlr2HKekDZ6, aO7dXeBahqqy, vsJU7GhuEuh6=xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a$*\xcb\xb0'), '\144' + '\x65' + '\143' + chr(0b1010001 + 0o36) + chr(100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(4820 - 4718) + '\x2d' + chr(0b100000 + 0o30)))):
QcSo29OFrb6O = EgS9dR_BAieQ.current_epoch_rollouts(split=vsJU7GhuEuh6, minimal_rollout_frames=YYpMgs8WK8M7)
def OkKotjp_CVo5(ix9dZyeAmUxY):
Hj0fbsClROFu = QcSo29OFrb6O[ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + '\060', 42759 - 42751)][:YYpMgs8WK8M7]
if not fJlr2HKekDZ6:
x9T_Z9LnTmp9 = [Hj0fbsClROFu] * ix9dZyeAmUxY
else:
x9T_Z9LnTmp9 = P3ZH3L37QrXz(QcSo29OFrb6O, ix9dZyeAmUxY, YYpMgs8WK8M7)
if aO7dXeBahqqy:
x9T_Z9LnTmp9[ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101101 + 0o3), 8)] = Hj0fbsClROFu
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'=\x02\n\xe1\x95'), '\144' + chr(0b1100101) + '\143' + chr(0b101100 + 0o103) + chr(0b1001000 + 0o34) + chr(1235 - 1134))('\165' + '\x74' + '\x66' + chr(0b100101 + 0o10) + chr(0b11011 + 0o35)))([[xafqLlk3kkUe(C4IqNNmLfHXB.observation, chr(0b1100100) + chr(0b100100 + 0o101) + '\143' + chr(0b1001101 + 0o42) + chr(0b1011001 + 0o13) + chr(1191 - 1090))() for C4IqNNmLfHXB in U6JCBsXhasfg] for U6JCBsXhasfg in x9T_Z9LnTmp9])
return OkKotjp_CVo5
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/rl_utils.py
|
absolute_hinge_difference
|
def absolute_hinge_difference(arr1, arr2, min_diff=10, dtype=np.uint8):
"""Point-wise, hinge loss-like, difference between arrays.
Args:
arr1: integer array to compare.
arr2: integer array to compare.
min_diff: minimal difference taken into consideration.
dtype: dtype of returned array.
Returns:
array
"""
diff = np.abs(arr1.astype(np.int) - arr2, dtype=np.int)
return np.maximum(diff - min_diff, 0).astype(dtype)
|
python
|
def absolute_hinge_difference(arr1, arr2, min_diff=10, dtype=np.uint8):
"""Point-wise, hinge loss-like, difference between arrays.
Args:
arr1: integer array to compare.
arr2: integer array to compare.
min_diff: minimal difference taken into consideration.
dtype: dtype of returned array.
Returns:
array
"""
diff = np.abs(arr1.astype(np.int) - arr2, dtype=np.int)
return np.maximum(diff - min_diff, 0).astype(dtype)
|
[
"def",
"absolute_hinge_difference",
"(",
"arr1",
",",
"arr2",
",",
"min_diff",
"=",
"10",
",",
"dtype",
"=",
"np",
".",
"uint8",
")",
":",
"diff",
"=",
"np",
".",
"abs",
"(",
"arr1",
".",
"astype",
"(",
"np",
".",
"int",
")",
"-",
"arr2",
",",
"dtype",
"=",
"np",
".",
"int",
")",
"return",
"np",
".",
"maximum",
"(",
"diff",
"-",
"min_diff",
",",
"0",
")",
".",
"astype",
"(",
"dtype",
")"
] |
Point-wise, hinge loss-like, difference between arrays.
Args:
arr1: integer array to compare.
arr2: integer array to compare.
min_diff: minimal difference taken into consideration.
dtype: dtype of returned array.
Returns:
array
|
[
"Point",
"-",
"wise",
"hinge",
"loss",
"-",
"like",
"difference",
"between",
"arrays",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/rl_utils.py#L385-L398
|
train
|
Point - wise hinge loss - like difference between arrays.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1772 - 1724) + chr(0b100100 + 0o113) + '\x32' + chr(48) + chr(55), 21811 - 21803), ehT0Px3KOsy9('\x30' + chr(0b10001 + 0o136) + chr(0b110011) + '\x30' + '\062', 0o10), ehT0Px3KOsy9(chr(233 - 185) + chr(0b1101111) + chr(51) + '\x35' + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + chr(0b101011 + 0o7) + '\x36' + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\062' + chr(270 - 215), 54317 - 54309), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + '\x31' + chr(0b11100 + 0o33) + chr(0b110 + 0o60), 0b1000), ehT0Px3KOsy9(chr(1310 - 1262) + '\157' + '\x32' + chr(49) + chr(0b110001), 34541 - 34533), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b1110 + 0o43) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011 + 0o2), 8437 - 8429), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b110100) + '\062', 17600 - 17592), ehT0Px3KOsy9(chr(1063 - 1015) + '\x6f' + '\063' + chr(0b110110) + chr(0b10 + 0o62), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(423 - 374) + chr(49) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11946 - 11835) + chr(50) + '\x34' + chr(477 - 428), 61017 - 61009), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(535 - 484) + chr(1906 - 1852), 0b1000), ehT0Px3KOsy9(chr(1105 - 1057) + chr(111) + '\x31' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b100 + 0o153) + '\x32' + chr(0b10101 + 0o35) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b11101 + 0o32) + '\x32', 25420 - 25412), ehT0Px3KOsy9('\x30' + chr(9650 - 9539) + chr(54) + chr(1686 - 1631), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + chr(0b110001) + '\067' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b110010) + chr(0b110100) + chr(673 - 621), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(52) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1366 - 1315) + '\x37' + chr(51), 10249 - 10241), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + chr(0b100 + 0o56) + chr(51) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(6076 - 5965) + chr(0b110001) + chr(0b110110) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1328 - 1280) + chr(111) + '\x31' + chr(0b100100 + 0o14) + chr(0b100001 + 0o17), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(2320 - 2270) + chr(1469 - 1416) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110100 + 0o73) + chr(52) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(556 - 505) + chr(50), 44564 - 44556), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(1641 - 1593) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2650 - 2539) + chr(0b1100 + 0o45) + chr(0b110100) + chr(53), 8), ehT0Px3KOsy9(chr(698 - 650) + chr(2888 - 2777) + chr(0b110001) + '\x36' + chr(0b110011), 16043 - 16035), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(52) + chr(284 - 233), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(2867 - 2813) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b111 + 0o53) + chr(0b111 + 0o54) + chr(0b0 + 0o61), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + '\062' + chr(2322 - 2272) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x37' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(631 - 583) + '\157' + chr(1511 - 1460) + chr(1626 - 1574) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(672 - 624) + chr(0b1101111) + chr(0b0 + 0o62) + chr(0b110110) + chr(0b100011 + 0o21), 7190 - 7182), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b100010 + 0o115) + chr(50) + chr(0b10110 + 0o36) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(2057 - 2007) + chr(1323 - 1271) + chr(0b100 + 0o54), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(0b101001 + 0o14) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9'), chr(100) + chr(101) + chr(99) + chr(0b1101111) + chr(4269 - 4169) + chr(101))(chr(117) + chr(116) + chr(0b1100110) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ixK92NOVmFcu(HtV6nKnQRF1s, VBPOcuzN4eSu, omg0k9xud6Nz=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b110010), ord("\x08")), jSV9IKnemH7K=xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xab\x87\xc6\xef'), chr(0b110100 + 0o60) + '\x65' + chr(2114 - 2015) + chr(9178 - 9067) + chr(0b1100100) + chr(101))('\x75' + '\x74' + chr(0b1100110) + '\055' + chr(56)))):
A3JtwFGKVTf0 = WqUC3KWvYVup.abs(HtV6nKnQRF1s.astype(WqUC3KWvYVup.int) - VBPOcuzN4eSu, dtype=WqUC3KWvYVup.int)
return xafqLlk3kkUe(WqUC3KWvYVup.maximum(A3JtwFGKVTf0 - omg0k9xud6Nz, ehT0Px3KOsy9(chr(1834 - 1786) + chr(0b100001 + 0o116) + chr(0b11000 + 0o30), 0o10)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xb1\x9d\xcb\xa7\x1b'), '\x64' + '\145' + chr(9139 - 9040) + chr(0b1011001 + 0o26) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(8343 - 8241) + chr(0b101101) + chr(0b1100 + 0o54)))(jSV9IKnemH7K)
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/rl_utils.py
|
augment_observation
|
def augment_observation(
observation, reward, cum_reward, frame_index, bar_color=None,
header_height=27
):
"""Augments an observation with debug info."""
img = PIL_Image().new(
"RGB", (observation.shape[1], header_height,)
)
draw = PIL_ImageDraw().Draw(img)
draw.text(
(1, 0), "c:{:3}, r:{:3}".format(int(cum_reward), int(reward)),
fill=(255, 0, 0)
)
draw.text(
(1, 15), "f:{:3}".format(int(frame_index)),
fill=(255, 0, 0)
)
header = np.copy(np.asarray(img))
del img
if bar_color is not None:
header[0, :, :] = bar_color
return np.concatenate([header, observation], axis=0)
|
python
|
def augment_observation(
observation, reward, cum_reward, frame_index, bar_color=None,
header_height=27
):
"""Augments an observation with debug info."""
img = PIL_Image().new(
"RGB", (observation.shape[1], header_height,)
)
draw = PIL_ImageDraw().Draw(img)
draw.text(
(1, 0), "c:{:3}, r:{:3}".format(int(cum_reward), int(reward)),
fill=(255, 0, 0)
)
draw.text(
(1, 15), "f:{:3}".format(int(frame_index)),
fill=(255, 0, 0)
)
header = np.copy(np.asarray(img))
del img
if bar_color is not None:
header[0, :, :] = bar_color
return np.concatenate([header, observation], axis=0)
|
[
"def",
"augment_observation",
"(",
"observation",
",",
"reward",
",",
"cum_reward",
",",
"frame_index",
",",
"bar_color",
"=",
"None",
",",
"header_height",
"=",
"27",
")",
":",
"img",
"=",
"PIL_Image",
"(",
")",
".",
"new",
"(",
"\"RGB\"",
",",
"(",
"observation",
".",
"shape",
"[",
"1",
"]",
",",
"header_height",
",",
")",
")",
"draw",
"=",
"PIL_ImageDraw",
"(",
")",
".",
"Draw",
"(",
"img",
")",
"draw",
".",
"text",
"(",
"(",
"1",
",",
"0",
")",
",",
"\"c:{:3}, r:{:3}\"",
".",
"format",
"(",
"int",
"(",
"cum_reward",
")",
",",
"int",
"(",
"reward",
")",
")",
",",
"fill",
"=",
"(",
"255",
",",
"0",
",",
"0",
")",
")",
"draw",
".",
"text",
"(",
"(",
"1",
",",
"15",
")",
",",
"\"f:{:3}\"",
".",
"format",
"(",
"int",
"(",
"frame_index",
")",
")",
",",
"fill",
"=",
"(",
"255",
",",
"0",
",",
"0",
")",
")",
"header",
"=",
"np",
".",
"copy",
"(",
"np",
".",
"asarray",
"(",
"img",
")",
")",
"del",
"img",
"if",
"bar_color",
"is",
"not",
"None",
":",
"header",
"[",
"0",
",",
":",
",",
":",
"]",
"=",
"bar_color",
"return",
"np",
".",
"concatenate",
"(",
"[",
"header",
",",
"observation",
"]",
",",
"axis",
"=",
"0",
")"
] |
Augments an observation with debug info.
|
[
"Augments",
"an",
"observation",
"with",
"debug",
"info",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/rl_utils.py#L402-L423
|
train
|
Augments an observation with debug info.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(49) + chr(0b101000 + 0o17) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(48) + chr(0b11011 + 0o31), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b1101 + 0o46) + chr(1980 - 1928), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x34' + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(372 - 317) + chr(0b110100 + 0o0), 32697 - 32689), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(49) + chr(0b110101) + chr(0b100011 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(3513 - 3402) + chr(51) + chr(0b110000) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\x37' + chr(52), 16885 - 16877), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(5913 - 5802) + '\x33' + chr(226 - 173) + '\065', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\x34' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(0b11100 + 0o25) + '\x30' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101010 + 0o7) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + chr(0b110011) + chr(591 - 536), 0o10), ehT0Px3KOsy9(chr(1629 - 1581) + '\x6f' + chr(50) + chr(50) + chr(731 - 683), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + '\061' + '\067' + chr(974 - 920), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001100 + 0o43) + chr(0b101100 + 0o7) + '\066' + '\060', 27854 - 27846), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b101110 + 0o101) + '\062' + '\061' + '\x34', 0o10), ehT0Px3KOsy9(chr(1778 - 1730) + chr(0b1101111) + '\x31' + chr(2580 - 2527) + '\x30', 8), ehT0Px3KOsy9(chr(2195 - 2147) + '\x6f' + '\064' + chr(1479 - 1430), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x36' + chr(0b10001 + 0o43), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(238 - 185) + chr(0b111 + 0o57), 6308 - 6300), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b101001 + 0o16) + '\062', 0o10), ehT0Px3KOsy9(chr(319 - 271) + chr(0b1100010 + 0o15) + chr(2107 - 2057) + '\x30' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(50) + chr(54) + chr(1313 - 1261), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1641 - 1592) + chr(950 - 895), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1562 - 1508) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101010 + 0o5) + chr(0b0 + 0o61) + chr(136 - 88), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\x36' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(0b110001) + chr(48) + chr(54), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b101100 + 0o11) + chr(1662 - 1614), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\x32' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(2179 - 2131) + chr(0b1101111) + chr(0b110010) + chr(887 - 832) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11985 - 11874) + chr(0b110001) + chr(0b10 + 0o60) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b110010 + 0o75) + chr(0b11111 + 0o22) + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + chr(0b110010) + '\x33' + chr(0b100110 + 0o21), 52812 - 52804), ehT0Px3KOsy9(chr(1683 - 1635) + chr(0b1101111) + chr(0b110001) + chr(162 - 114) + chr(1920 - 1872), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10111 + 0o32) + chr(0b1011 + 0o50) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(5738 - 5627) + '\062' + chr(53) + chr(591 - 539), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(0b110010) + chr(0b11100 + 0o24), 15675 - 15667)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1768 - 1720) + '\x6f' + chr(0b11 + 0o62) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Q'), chr(0b110111 + 0o55) + chr(0b1100 + 0o131) + '\x63' + chr(8183 - 8072) + '\144' + chr(0b1001010 + 0o33))(chr(0b1110101) + chr(0b1110100) + chr(0b10011 + 0o123) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gwr6E3sSKbPL(mKQm526a9xSD, jEXsEsgeguP4, zPAX8YPBjQSF, pQ3JgWxepQnP, vz1OuV4qhg4F=None, fUiW5yA2yAUn=ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + chr(1027 - 976) + '\063', 60687 - 60679)):
s63jeLEbd8fs = RHAaDRV020yY().new(xafqLlk3kkUe(SXOLrMavuUCe(b'-\x03\x1e'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\x6f' + chr(0b111100 + 0o50) + '\x65')('\x75' + chr(0b1110100) + chr(102) + '\055' + '\070'), (mKQm526a9xSD.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(0b11001 + 0o126) + chr(0b110001), 15727 - 15719)], fUiW5yA2yAUn))
B65Iv98Ts98c = V_CZu747ewZL().Draw(s63jeLEbd8fs)
xafqLlk3kkUe(B65Iv98Ts98c, xafqLlk3kkUe(SXOLrMavuUCe(b'>,m\xd0\xb5\x06v\xa0H\xd5\xef$'), chr(0b110100 + 0o60) + '\x65' + '\143' + chr(0b1101111) + '\144' + '\145')('\165' + '\x74' + chr(102) + chr(1007 - 962) + chr(0b111000)))((ehT0Px3KOsy9('\x30' + chr(3673 - 3562) + '\x31', 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(4503 - 4392) + chr(0b100010 + 0o16), 8)), xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b"\x1c~'\x98\xcf\x15,\xe7\x0e\xd7\xdc|;b"), '\x64' + '\x65' + '\143' + chr(111) + chr(0b1100100) + '\x65')('\x75' + chr(0b11110 + 0o126) + chr(102) + chr(0b1110 + 0o37) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b')p.\xcd\xb4\tS\xf4,\x9d\xc2,'), chr(100) + chr(101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b1011011 + 0o13) + chr(1357 - 1312) + chr(0b111000)))(ehT0Px3KOsy9(zPAX8YPBjQSF), ehT0Px3KOsy9(jEXsEsgeguP4)), fill=(ehT0Px3KOsy9('\060' + '\157' + chr(0b110001 + 0o2) + chr(2977 - 2922) + chr(0b110111), 52889 - 52881), ehT0Px3KOsy9(chr(0b110000) + chr(0b101011 + 0o104) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b111100 + 0o63) + '\060', 8)))
xafqLlk3kkUe(B65Iv98Ts98c, xafqLlk3kkUe(SXOLrMavuUCe(b'>,m\xd0\xb5\x06v\xa0H\xd5\xef$'), '\144' + chr(1492 - 1391) + chr(99) + '\157' + chr(7798 - 7698) + chr(3270 - 3169))(chr(0b1001010 + 0o53) + '\164' + chr(0b111001 + 0o55) + chr(0b100101 + 0o10) + chr(1142 - 1086)))((ehT0Px3KOsy9(chr(581 - 533) + chr(0b1010100 + 0o33) + chr(0b11000 + 0o31), 8), ehT0Px3KOsy9(chr(48) + chr(7329 - 7218) + chr(0b110001) + '\067', 8)), xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b"\x19~'\x98\xcf\x15"), '\x64' + chr(101) + chr(0b1100011) + chr(0b1100010 + 0o15) + chr(0b11001 + 0o113) + '\145')('\x75' + chr(0b1110100) + '\x66' + chr(0b101000 + 0o5) + chr(2559 - 2503)), xafqLlk3kkUe(SXOLrMavuUCe(b')p.\xcd\xb4\tS\xf4,\x9d\xc2,'), '\144' + chr(9522 - 9421) + chr(0b11101 + 0o106) + chr(0b1001001 + 0o46) + chr(100) + chr(101))('\x75' + chr(0b1110100) + chr(0b110111 + 0o57) + '\055' + chr(56)))(ehT0Px3KOsy9(pQ3JgWxepQnP)), fill=(ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b110 + 0o61) + '\067', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x30', 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + '\x30', 8)))
ZmHK8Erhdn3m = WqUC3KWvYVup.igThHS4jwVsa(WqUC3KWvYVup.asarray(s63jeLEbd8fs))
del s63jeLEbd8fs
if vz1OuV4qhg4F is not None:
ZmHK8Erhdn3m[ehT0Px3KOsy9('\060' + chr(111) + '\060', 8), :, :] = vz1OuV4qhg4F
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c+2\xc1\x9d\x1ce\xa9\x1d\x99\xc2'), '\x64' + '\x65' + '\x63' + chr(4996 - 4885) + chr(0b1000010 + 0o42) + '\x65')(chr(10856 - 10739) + chr(116) + chr(0b1100110) + chr(45) + chr(2925 - 2869)))([ZmHK8Erhdn3m, mKQm526a9xSD], axis=ehT0Px3KOsy9('\060' + chr(0b100010 + 0o115) + '\060', 8))
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/rl_utils.py
|
run_rollouts
|
def run_rollouts(
env, agent, initial_observations, step_limit=None, discount_factor=1.0,
log_every_steps=None, video_writers=(), color_bar=False,
many_rollouts_from_each_env=False
):
"""Runs a batch of rollouts from given initial observations."""
assert step_limit is not None or not many_rollouts_from_each_env, (
"When collecting many rollouts from each environment, time limit must "
"be set."
)
num_dones = 0
first_dones = np.array([False] * env.batch_size)
observations = initial_observations
step_index = 0
cum_rewards = np.zeros(env.batch_size)
for (video_writer, obs_stack) in zip(video_writers, initial_observations):
for (i, ob) in enumerate(obs_stack):
debug_frame = augment_observation(
ob, reward=0, cum_reward=0, frame_index=(-len(obs_stack) + i + 1),
bar_color=((0, 255, 0) if color_bar else None)
)
video_writer.write(debug_frame)
def proceed():
if step_index < step_limit:
return num_dones < env.batch_size or many_rollouts_from_each_env
else:
return False
while proceed():
act_kwargs = {}
if agent.needs_env_state:
act_kwargs["env_state"] = env.state
actions = agent.act(observations, **act_kwargs)
(observations, rewards, dones) = env.step(actions)
observations = list(observations)
now_done_indices = []
for (i, done) in enumerate(dones):
if done and (not first_dones[i] or many_rollouts_from_each_env):
now_done_indices.append(i)
first_dones[i] = True
num_dones += 1
if now_done_indices:
# Unless many_rollouts_from_each_env, reset only envs done the first time
# in this timestep to ensure that we collect exactly 1 rollout from each
# env.
reset_observations = env.reset(now_done_indices)
for (i, observation) in zip(now_done_indices, reset_observations):
observations[i] = observation
observations = np.array(observations)
cum_rewards[~first_dones] = (
cum_rewards[~first_dones] * discount_factor + rewards[~first_dones]
)
step_index += 1
for (video_writer, obs_stack, reward, cum_reward, done) in zip(
video_writers, observations, rewards, cum_rewards, first_dones
):
if done:
continue
ob = obs_stack[-1]
debug_frame = augment_observation(
ob, reward=reward, cum_reward=cum_reward,
frame_index=step_index, bar_color=((255, 0, 0) if color_bar else None)
)
video_writer.write(debug_frame)
# TODO(afrozm): Clean this up with tf.logging.log_every_n
if log_every_steps is not None and step_index % log_every_steps == 0:
tf.logging.info("Step %d, mean_score: %f", step_index, cum_rewards.mean())
return (observations, cum_rewards)
|
python
|
def run_rollouts(
env, agent, initial_observations, step_limit=None, discount_factor=1.0,
log_every_steps=None, video_writers=(), color_bar=False,
many_rollouts_from_each_env=False
):
"""Runs a batch of rollouts from given initial observations."""
assert step_limit is not None or not many_rollouts_from_each_env, (
"When collecting many rollouts from each environment, time limit must "
"be set."
)
num_dones = 0
first_dones = np.array([False] * env.batch_size)
observations = initial_observations
step_index = 0
cum_rewards = np.zeros(env.batch_size)
for (video_writer, obs_stack) in zip(video_writers, initial_observations):
for (i, ob) in enumerate(obs_stack):
debug_frame = augment_observation(
ob, reward=0, cum_reward=0, frame_index=(-len(obs_stack) + i + 1),
bar_color=((0, 255, 0) if color_bar else None)
)
video_writer.write(debug_frame)
def proceed():
if step_index < step_limit:
return num_dones < env.batch_size or many_rollouts_from_each_env
else:
return False
while proceed():
act_kwargs = {}
if agent.needs_env_state:
act_kwargs["env_state"] = env.state
actions = agent.act(observations, **act_kwargs)
(observations, rewards, dones) = env.step(actions)
observations = list(observations)
now_done_indices = []
for (i, done) in enumerate(dones):
if done and (not first_dones[i] or many_rollouts_from_each_env):
now_done_indices.append(i)
first_dones[i] = True
num_dones += 1
if now_done_indices:
# Unless many_rollouts_from_each_env, reset only envs done the first time
# in this timestep to ensure that we collect exactly 1 rollout from each
# env.
reset_observations = env.reset(now_done_indices)
for (i, observation) in zip(now_done_indices, reset_observations):
observations[i] = observation
observations = np.array(observations)
cum_rewards[~first_dones] = (
cum_rewards[~first_dones] * discount_factor + rewards[~first_dones]
)
step_index += 1
for (video_writer, obs_stack, reward, cum_reward, done) in zip(
video_writers, observations, rewards, cum_rewards, first_dones
):
if done:
continue
ob = obs_stack[-1]
debug_frame = augment_observation(
ob, reward=reward, cum_reward=cum_reward,
frame_index=step_index, bar_color=((255, 0, 0) if color_bar else None)
)
video_writer.write(debug_frame)
# TODO(afrozm): Clean this up with tf.logging.log_every_n
if log_every_steps is not None and step_index % log_every_steps == 0:
tf.logging.info("Step %d, mean_score: %f", step_index, cum_rewards.mean())
return (observations, cum_rewards)
|
[
"def",
"run_rollouts",
"(",
"env",
",",
"agent",
",",
"initial_observations",
",",
"step_limit",
"=",
"None",
",",
"discount_factor",
"=",
"1.0",
",",
"log_every_steps",
"=",
"None",
",",
"video_writers",
"=",
"(",
")",
",",
"color_bar",
"=",
"False",
",",
"many_rollouts_from_each_env",
"=",
"False",
")",
":",
"assert",
"step_limit",
"is",
"not",
"None",
"or",
"not",
"many_rollouts_from_each_env",
",",
"(",
"\"When collecting many rollouts from each environment, time limit must \"",
"\"be set.\"",
")",
"num_dones",
"=",
"0",
"first_dones",
"=",
"np",
".",
"array",
"(",
"[",
"False",
"]",
"*",
"env",
".",
"batch_size",
")",
"observations",
"=",
"initial_observations",
"step_index",
"=",
"0",
"cum_rewards",
"=",
"np",
".",
"zeros",
"(",
"env",
".",
"batch_size",
")",
"for",
"(",
"video_writer",
",",
"obs_stack",
")",
"in",
"zip",
"(",
"video_writers",
",",
"initial_observations",
")",
":",
"for",
"(",
"i",
",",
"ob",
")",
"in",
"enumerate",
"(",
"obs_stack",
")",
":",
"debug_frame",
"=",
"augment_observation",
"(",
"ob",
",",
"reward",
"=",
"0",
",",
"cum_reward",
"=",
"0",
",",
"frame_index",
"=",
"(",
"-",
"len",
"(",
"obs_stack",
")",
"+",
"i",
"+",
"1",
")",
",",
"bar_color",
"=",
"(",
"(",
"0",
",",
"255",
",",
"0",
")",
"if",
"color_bar",
"else",
"None",
")",
")",
"video_writer",
".",
"write",
"(",
"debug_frame",
")",
"def",
"proceed",
"(",
")",
":",
"if",
"step_index",
"<",
"step_limit",
":",
"return",
"num_dones",
"<",
"env",
".",
"batch_size",
"or",
"many_rollouts_from_each_env",
"else",
":",
"return",
"False",
"while",
"proceed",
"(",
")",
":",
"act_kwargs",
"=",
"{",
"}",
"if",
"agent",
".",
"needs_env_state",
":",
"act_kwargs",
"[",
"\"env_state\"",
"]",
"=",
"env",
".",
"state",
"actions",
"=",
"agent",
".",
"act",
"(",
"observations",
",",
"*",
"*",
"act_kwargs",
")",
"(",
"observations",
",",
"rewards",
",",
"dones",
")",
"=",
"env",
".",
"step",
"(",
"actions",
")",
"observations",
"=",
"list",
"(",
"observations",
")",
"now_done_indices",
"=",
"[",
"]",
"for",
"(",
"i",
",",
"done",
")",
"in",
"enumerate",
"(",
"dones",
")",
":",
"if",
"done",
"and",
"(",
"not",
"first_dones",
"[",
"i",
"]",
"or",
"many_rollouts_from_each_env",
")",
":",
"now_done_indices",
".",
"append",
"(",
"i",
")",
"first_dones",
"[",
"i",
"]",
"=",
"True",
"num_dones",
"+=",
"1",
"if",
"now_done_indices",
":",
"# Unless many_rollouts_from_each_env, reset only envs done the first time",
"# in this timestep to ensure that we collect exactly 1 rollout from each",
"# env.",
"reset_observations",
"=",
"env",
".",
"reset",
"(",
"now_done_indices",
")",
"for",
"(",
"i",
",",
"observation",
")",
"in",
"zip",
"(",
"now_done_indices",
",",
"reset_observations",
")",
":",
"observations",
"[",
"i",
"]",
"=",
"observation",
"observations",
"=",
"np",
".",
"array",
"(",
"observations",
")",
"cum_rewards",
"[",
"~",
"first_dones",
"]",
"=",
"(",
"cum_rewards",
"[",
"~",
"first_dones",
"]",
"*",
"discount_factor",
"+",
"rewards",
"[",
"~",
"first_dones",
"]",
")",
"step_index",
"+=",
"1",
"for",
"(",
"video_writer",
",",
"obs_stack",
",",
"reward",
",",
"cum_reward",
",",
"done",
")",
"in",
"zip",
"(",
"video_writers",
",",
"observations",
",",
"rewards",
",",
"cum_rewards",
",",
"first_dones",
")",
":",
"if",
"done",
":",
"continue",
"ob",
"=",
"obs_stack",
"[",
"-",
"1",
"]",
"debug_frame",
"=",
"augment_observation",
"(",
"ob",
",",
"reward",
"=",
"reward",
",",
"cum_reward",
"=",
"cum_reward",
",",
"frame_index",
"=",
"step_index",
",",
"bar_color",
"=",
"(",
"(",
"255",
",",
"0",
",",
"0",
")",
"if",
"color_bar",
"else",
"None",
")",
")",
"video_writer",
".",
"write",
"(",
"debug_frame",
")",
"# TODO(afrozm): Clean this up with tf.logging.log_every_n",
"if",
"log_every_steps",
"is",
"not",
"None",
"and",
"step_index",
"%",
"log_every_steps",
"==",
"0",
":",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Step %d, mean_score: %f\"",
",",
"step_index",
",",
"cum_rewards",
".",
"mean",
"(",
")",
")",
"return",
"(",
"observations",
",",
"cum_rewards",
")"
] |
Runs a batch of rollouts from given initial observations.
|
[
"Runs",
"a",
"batch",
"of",
"rollouts",
"from",
"given",
"initial",
"observations",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/rl_utils.py#L426-L499
|
train
|
Runs a batch of rollouts from given initial observations.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(7225 - 7114) + chr(0b110001) + chr(0b110100) + '\067', 54752 - 54744), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(2353 - 2302) + chr(0b110111), 36201 - 36193), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(11161 - 11050) + '\063' + chr(52) + chr(0b110000 + 0o6), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\064' + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b101110 + 0o3) + '\060', 13977 - 13969), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(50) + chr(53), 24818 - 24810), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(691 - 641) + chr(2395 - 2343) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\x34', 10003 - 9995), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1111 + 0o43) + chr(431 - 377) + chr(0b11101 + 0o26), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + chr(0b1010 + 0o51) + '\x32' + chr(49), 14514 - 14506), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110111) + chr(0b101010 + 0o11), 59029 - 59021), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\x35' + chr(2188 - 2138), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(930 - 876) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(52) + chr(0b100101 + 0o17), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100001 + 0o116) + chr(49) + '\066' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(63 - 15) + '\x6f' + '\x31' + '\x34' + chr(0b10000 + 0o45), 0b1000), ehT0Px3KOsy9(chr(1897 - 1849) + chr(0b1101111) + chr(0b110011) + chr(0b101101 + 0o7) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\066' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + '\x32' + chr(51) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(906 - 795) + chr(49) + '\064' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(2315 - 2260) + chr(0b101101 + 0o11), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(0b110001) + '\060' + chr(1668 - 1616), 25179 - 25171), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\x33' + chr(1454 - 1406), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10100 + 0o36) + chr(2223 - 2174) + chr(0b110011), 55613 - 55605), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(12044 - 11933) + chr(51) + chr(0b110111) + chr(53), 0o10), ehT0Px3KOsy9(chr(193 - 145) + chr(111) + '\x32' + chr(1696 - 1645) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(0b110010) + '\066' + chr(0b110110), 56108 - 56100), ehT0Px3KOsy9('\x30' + chr(0b1011101 + 0o22) + '\061' + chr(0b110011) + chr(0b101011 + 0o14), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\x33' + chr(2639 - 2587), 0b1000), ehT0Px3KOsy9(chr(1193 - 1145) + chr(0b1101101 + 0o2) + chr(2004 - 1949) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(1052 - 1004) + chr(0b1000101 + 0o52) + '\064' + chr(0b110101), 25874 - 25866), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + '\x37' + '\x33', 8), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110011) + chr(819 - 770), 32619 - 32611), ehT0Px3KOsy9(chr(1357 - 1309) + '\x6f' + chr(802 - 753) + chr(0b101000 + 0o10) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(48) + chr(1544 - 1493), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(1326 - 1275) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + chr(0b1100 + 0o47) + '\065' + '\x31', 17271 - 17263), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\x35', 0o10), ehT0Px3KOsy9(chr(879 - 831) + chr(0b11111 + 0o120) + '\064' + chr(94 - 46), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111 + 0o0) + '\x31' + chr(1766 - 1713) + chr(55), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110101) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'I'), '\144' + '\x65' + chr(4588 - 4489) + '\157' + chr(0b111111 + 0o45) + chr(9743 - 9642))(chr(0b1110101) + chr(0b110 + 0o156) + chr(0b1100110) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VXFjdLriORy8(xzsHIGfR8Ip5, PjFixOurfobW, cHRb6sEggha3, GcFQj0CoVat7=None, E0RlSVkqgsIp=1.0, Ntj8wLboIg4O=None, V2Ka7YDfMK26=(), k7crfyM5fsW8=ehT0Px3KOsy9('\x30' + '\x6f' + chr(157 - 109), 0o10), Hx05rPA3XsLE=ehT0Px3KOsy9(chr(48) + '\157' + '\060', 8)):
assert GcFQj0CoVat7 is not None or not Hx05rPA3XsLE, xafqLlk3kkUe(SXOLrMavuUCe(b'0\xb7\x83\xcah\xb6\xccp\xdf\xb4X\x1eZJ\x15E\x88\xd4\xf4\x1b\xde6\xb7\xe7\x91\xf6\xc3+/\x19CI\xb6+c\xf8\x88nHO\x02\xb1\x90\xcd:\xba\xcdq\xd6\xbfOF\x13P\x1b\x08\x80\x95\xf6\x0b\x93-\xac\xab\x90\xec\xc5+|[@\x1b\xaa#7\xb3'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\157' + '\x64' + '\x65')('\x75' + chr(2953 - 2837) + chr(4386 - 4284) + chr(45) + '\070')
rd4xwcL_enH1 = ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 8)
RP4zcLKasixy = WqUC3KWvYVup.B0ePDhpqxN5n([ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 8)] * xzsHIGfR8Ip5.ix9dZyeAmUxY)
uswa0rn3Tb4L = cHRb6sEggha3
_vYjVmeaPLVx = ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 8)
BZvDmQqWcJQo = WqUC3KWvYVup.zeros(xzsHIGfR8Ip5.ix9dZyeAmUxY)
for (TEiFeTBBrmQQ, QrnPoukrjzEG) in pZ0NK2y6HRbn(V2Ka7YDfMK26, cHRb6sEggha3):
for (WVxHKyX45z_L, yS9T1jpbJOfJ) in YlkZvXL8qwsX(QrnPoukrjzEG):
lVqfWz2hvoYJ = gwr6E3sSKbPL(yS9T1jpbJOfJ, reward=ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000), 8), cum_reward=ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000), 8), frame_index=-c2A0yzQpDQB3(QrnPoukrjzEG) + WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(895 - 846), 0o10), bar_color=(ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10000 + 0o40), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(224 - 173) + '\x37' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7699 - 7588) + chr(48), 8)) if k7crfyM5fsW8 else None)
xafqLlk3kkUe(TEiFeTBBrmQQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\xad\x8f\xd0-'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(4447 - 4346))(chr(12256 - 12139) + '\x74' + chr(102) + chr(0b101101) + chr(0b111000)))(lVqfWz2hvoYJ)
def l_jSAs1pBfRo():
if _vYjVmeaPLVx < GcFQj0CoVat7:
return rd4xwcL_enH1 < xafqLlk3kkUe(xzsHIGfR8Ip5, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xa7\xdf\xc0\x12\xac\xc6]\xde\x84C3'), '\144' + chr(101) + chr(0b1100011) + chr(8642 - 8531) + chr(100) + chr(101))('\x75' + chr(0b1110100) + '\x66' + chr(1580 - 1535) + chr(56))) or Hx05rPA3XsLE
else:
return ehT0Px3KOsy9(chr(528 - 480) + chr(0b1010110 + 0o31) + chr(48), 8)
while l_jSAs1pBfRo():
IQMDQuFOM2cv = {}
if xafqLlk3kkUe(PjFixOurfobW, xafqLlk3kkUe(SXOLrMavuUCe(b'\t\xba\x83\xc0;\x8a\xc6r\xc5\x8eH\x1eRP\x17'), chr(0b1001000 + 0o34) + '\x65' + chr(99) + '\x6f' + '\x64' + chr(0b1100101))(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + chr(56))):
IQMDQuFOM2cv[xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\xb1\x90\xfb;\xa1\xc2h\xd6'), chr(9531 - 9431) + chr(0b1010101 + 0o20) + chr(0b1100011) + '\x6f' + chr(0b111111 + 0o45) + chr(101))(chr(0b1 + 0o164) + chr(0b1110100) + chr(102) + chr(45) + '\070')] = xzsHIGfR8Ip5.state
WCl6VUkME_8I = PjFixOurfobW.act(uswa0rn3Tb4L, **IQMDQuFOM2cv)
(uswa0rn3Tb4L, yrDfr6ll4Ijz, ijPEVpFpIejc) = xzsHIGfR8Ip5.kDuFsAhEatcU(WCl6VUkME_8I)
uswa0rn3Tb4L = YyaZ4tpXu4lf(uswa0rn3Tb4L)
vliPfVgyYkcT = []
for (WVxHKyX45z_L, Ki86oC9WfglU) in YlkZvXL8qwsX(ijPEVpFpIejc):
if Ki86oC9WfglU and (not RP4zcLKasixy[WVxHKyX45z_L] or Hx05rPA3XsLE):
xafqLlk3kkUe(vliPfVgyYkcT, xafqLlk3kkUe(SXOLrMavuUCe(b'\x06\xaf\x96\xc1&\xb1'), chr(480 - 380) + chr(0b1011001 + 0o14) + chr(9148 - 9049) + '\x6f' + chr(3022 - 2922) + chr(101))(chr(117) + chr(116) + chr(102) + chr(1778 - 1733) + chr(56)))(WVxHKyX45z_L)
RP4zcLKasixy[WVxHKyX45z_L] = ehT0Px3KOsy9('\x30' + chr(11564 - 11453) + '\061', 8)
rd4xwcL_enH1 += ehT0Px3KOsy9(chr(0b110000) + chr(9758 - 9647) + '\x31', 8)
if vliPfVgyYkcT:
_3BAqrA11QqL = xzsHIGfR8Ip5.reset(vliPfVgyYkcT)
for (WVxHKyX45z_L, mKQm526a9xSD) in pZ0NK2y6HRbn(vliPfVgyYkcT, _3BAqrA11QqL):
uswa0rn3Tb4L[WVxHKyX45z_L] = mKQm526a9xSD
uswa0rn3Tb4L = WqUC3KWvYVup.B0ePDhpqxN5n(uswa0rn3Tb4L)
BZvDmQqWcJQo[~RP4zcLKasixy] = BZvDmQqWcJQo[~RP4zcLKasixy] * E0RlSVkqgsIp + yrDfr6ll4Ijz[~RP4zcLKasixy]
_vYjVmeaPLVx += ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + chr(180 - 131), 8)
for (TEiFeTBBrmQQ, QrnPoukrjzEG, jEXsEsgeguP4, zPAX8YPBjQSF, Ki86oC9WfglU) in pZ0NK2y6HRbn(V2Ka7YDfMK26, uswa0rn3Tb4L, yrDfr6ll4Ijz, BZvDmQqWcJQo, RP4zcLKasixy):
if Ki86oC9WfglU:
continue
yS9T1jpbJOfJ = QrnPoukrjzEG[-ehT0Px3KOsy9('\060' + '\x6f' + chr(49), 8)]
lVqfWz2hvoYJ = gwr6E3sSKbPL(yS9T1jpbJOfJ, reward=jEXsEsgeguP4, cum_reward=zPAX8YPBjQSF, frame_index=_vYjVmeaPLVx, bar_color=(ehT0Px3KOsy9(chr(48) + chr(5847 - 5736) + chr(911 - 860) + '\067' + '\x37', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x30', 8), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + chr(0b110000), 8)) if k7crfyM5fsW8 else None)
xafqLlk3kkUe(TEiFeTBBrmQQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\xad\x8f\xd0-'), '\144' + chr(0b1011110 + 0o7) + chr(99) + '\157' + chr(0b1001011 + 0o31) + chr(101))(chr(0b111001 + 0o74) + chr(116) + '\146' + '\055' + chr(56)))(lVqfWz2hvoYJ)
if Ntj8wLboIg4O is not None and _vYjVmeaPLVx % Ntj8wLboIg4O == ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000), 8):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'4\xe8\xae\xdc=\xb6\xc4+\xd9\xbda\x01'), chr(0b1100100) + '\145' + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))(chr(8195 - 8078) + chr(116) + chr(102) + '\055' + chr(1540 - 1484)))(xafqLlk3kkUe(SXOLrMavuUCe(b'4\xab\x83\xd4h\xf0\xc70\x93\xbc^\x0b]{\x01\x06\x8a\xc7\xffX\xdea\xbe'), '\144' + '\x65' + '\143' + chr(3131 - 3020) + '\144' + chr(0b1100101))(chr(10972 - 10855) + chr(0b1110100 + 0o0) + '\x66' + chr(263 - 218) + chr(0b111000)), _vYjVmeaPLVx, xafqLlk3kkUe(BZvDmQqWcJQo, xafqLlk3kkUe(SXOLrMavuUCe(b'\x06\x95\x8e\xed<\x96\xfcJ\xd2\xa6W\x1d'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1101101 + 0o2) + chr(100) + chr(0b1100101))(chr(0b111100 + 0o71) + '\x74' + chr(5343 - 5241) + chr(0b1001 + 0o44) + '\070'))())
return (uswa0rn3Tb4L, BZvDmQqWcJQo)
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/rl_utils.py
|
BatchStackWrapper.set_initial_state
|
def set_initial_state(self, initial_state, initial_frames):
"""Sets the state that will be used on next reset."""
self.env.set_initial_state(initial_state, initial_frames)
self._initial_frames = initial_frames
|
python
|
def set_initial_state(self, initial_state, initial_frames):
"""Sets the state that will be used on next reset."""
self.env.set_initial_state(initial_state, initial_frames)
self._initial_frames = initial_frames
|
[
"def",
"set_initial_state",
"(",
"self",
",",
"initial_state",
",",
"initial_frames",
")",
":",
"self",
".",
"env",
".",
"set_initial_state",
"(",
"initial_state",
",",
"initial_frames",
")",
"self",
".",
"_initial_frames",
"=",
"initial_frames"
] |
Sets the state that will be used on next reset.
|
[
"Sets",
"the",
"state",
"that",
"will",
"be",
"used",
"on",
"next",
"reset",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/rl_utils.py#L806-L809
|
train
|
Sets the state that will be used on next reset.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1377 - 1329) + chr(0b101001 + 0o106) + '\x33' + chr(53) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10090 - 9979) + chr(749 - 698) + chr(53) + chr(0b110100), 3906 - 3898), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(0b10011 + 0o37) + '\x30' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11101 + 0o25) + '\x35' + chr(0b101110 + 0o11), 6995 - 6987), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(1481 - 1431) + chr(48) + chr(1787 - 1736), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\x32' + chr(2061 - 2006), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1096 - 1047) + '\064' + chr(1941 - 1893), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6486 - 6375) + '\061' + chr(0b101110 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100101 + 0o16) + '\067' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111 + 0o0) + chr(0b110011) + chr(402 - 351) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(0b100111 + 0o110) + chr(1887 - 1836) + chr(52) + chr(1283 - 1235), 0b1000), ehT0Px3KOsy9(chr(2255 - 2207) + chr(0b1101111) + chr(50) + chr(0b110110) + chr(2237 - 2189), 29579 - 29571), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\064' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(0b110011) + chr(0b100010 + 0o20) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10206 - 10095) + chr(0b100111 + 0o13) + '\066' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b11011 + 0o27) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9547 - 9436) + '\067' + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b101100 + 0o12) + chr(0b11010 + 0o32), 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\x31' + '\x37' + chr(1817 - 1765), 12452 - 12444), ehT0Px3KOsy9('\060' + chr(0b1101111 + 0o0) + chr(1225 - 1170) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10001 + 0o37), 17856 - 17848), ehT0Px3KOsy9(chr(1159 - 1111) + chr(7757 - 7646) + chr(50) + chr(49) + chr(0b110010), 55402 - 55394), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(53) + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(2367 - 2317) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1770 - 1722) + '\157' + chr(423 - 374) + chr(0b1010 + 0o54) + chr(0b0 + 0o67), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100001 + 0o21) + chr(889 - 841) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1566 - 1518) + '\x6f' + chr(51) + '\065' + chr(1756 - 1707), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\x34' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + '\061' + chr(0b110110) + chr(0b1000 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(317 - 269) + chr(0b100001 + 0o116) + '\x32' + chr(0b110111) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110 + 0o53) + chr(0b110000) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\x32' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(2004 - 1953) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110100) + chr(243 - 192), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100011 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(1637 - 1589) + chr(111) + chr(0b110011) + '\063', 175 - 167), ehT0Px3KOsy9('\060' + chr(9747 - 9636) + chr(0b11011 + 0o30) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(1300 - 1251) + '\x33' + '\061', 0b1000), ehT0Px3KOsy9(chr(408 - 360) + '\x6f' + chr(49) + chr(0b110011) + chr(0b10000 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + '\061' + '\067' + chr(349 - 301), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + '\x35' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4'), chr(0b1100100) + '\x65' + '\x63' + '\157' + chr(9593 - 9493) + chr(0b11101 + 0o110))(chr(0b1110010 + 0o3) + chr(116) + chr(0b1100110) + chr(45) + chr(1091 - 1035)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kXEkAROill00(oVre8I6UXc3b, jXyGqlVq68Bb, x9T_Z9LnTmp9):
xafqLlk3kkUe(oVre8I6UXc3b.env, xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\x89\xf3\xf0\xea\xb9\tx\x97\xb9\x8c\xefQ\xa6\xd5e^'), '\x64' + '\x65' + '\143' + chr(0b110001 + 0o76) + chr(1994 - 1894) + chr(0b1100101))('\165' + chr(116) + chr(0b1011010 + 0o14) + '\x2d' + '\070'))(jXyGqlVq68Bb, x9T_Z9LnTmp9)
oVre8I6UXc3b.M4Dpmx4JKxy8 = x9T_Z9LnTmp9
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/cnn_dailymail.py
|
_maybe_download_corpora
|
def _maybe_download_corpora(tmp_dir, dataset_split):
"""Download corpora if necessary and unzip them.
Args:
tmp_dir: directory containing dataset.
dataset_split: whether we're in train/dev/test mode.
Returns:
List of all files generated and path to file containing
train/dev/test split info.
"""
cnn_filename = "cnn_stories.tgz"
cnn_finalpath = os.path.join(tmp_dir, "cnn/stories/")
dailymail_filename = "dailymail_stories.tgz"
dailymail_finalpath = os.path.join(tmp_dir, "dailymail/stories/")
if not tf.gfile.Exists(cnn_finalpath):
cnn_file = generator_utils.maybe_download_from_drive(
tmp_dir, cnn_filename, _CNN_STORIES_DRIVE_URL)
with tarfile.open(cnn_file, "r:gz") as cnn_tar:
cnn_tar.extractall(tmp_dir)
if not tf.gfile.Exists(dailymail_finalpath):
dailymail_file = generator_utils.maybe_download_from_drive(
tmp_dir, dailymail_filename, _DAILYMAIL_STORIES_DRIVE_URL)
with tarfile.open(dailymail_file, "r:gz") as dailymail_tar:
dailymail_tar.extractall(tmp_dir)
cnn_files = tf.gfile.Glob(cnn_finalpath + "*")
dailymail_files = tf.gfile.Glob(dailymail_finalpath + "*")
all_files = cnn_files + dailymail_files
if dataset_split == problem.DatasetSplit.TRAIN:
urls_path = generator_utils.maybe_download(tmp_dir, "all_train.txt",
_TRAIN_URLS)
elif dataset_split == problem.DatasetSplit.EVAL:
urls_path = generator_utils.maybe_download(tmp_dir, "all_val.txt",
_DEV_URLS)
else:
urls_path = generator_utils.maybe_download(tmp_dir, "all_test.txt",
_TEST_URLS)
return all_files, urls_path
|
python
|
def _maybe_download_corpora(tmp_dir, dataset_split):
"""Download corpora if necessary and unzip them.
Args:
tmp_dir: directory containing dataset.
dataset_split: whether we're in train/dev/test mode.
Returns:
List of all files generated and path to file containing
train/dev/test split info.
"""
cnn_filename = "cnn_stories.tgz"
cnn_finalpath = os.path.join(tmp_dir, "cnn/stories/")
dailymail_filename = "dailymail_stories.tgz"
dailymail_finalpath = os.path.join(tmp_dir, "dailymail/stories/")
if not tf.gfile.Exists(cnn_finalpath):
cnn_file = generator_utils.maybe_download_from_drive(
tmp_dir, cnn_filename, _CNN_STORIES_DRIVE_URL)
with tarfile.open(cnn_file, "r:gz") as cnn_tar:
cnn_tar.extractall(tmp_dir)
if not tf.gfile.Exists(dailymail_finalpath):
dailymail_file = generator_utils.maybe_download_from_drive(
tmp_dir, dailymail_filename, _DAILYMAIL_STORIES_DRIVE_URL)
with tarfile.open(dailymail_file, "r:gz") as dailymail_tar:
dailymail_tar.extractall(tmp_dir)
cnn_files = tf.gfile.Glob(cnn_finalpath + "*")
dailymail_files = tf.gfile.Glob(dailymail_finalpath + "*")
all_files = cnn_files + dailymail_files
if dataset_split == problem.DatasetSplit.TRAIN:
urls_path = generator_utils.maybe_download(tmp_dir, "all_train.txt",
_TRAIN_URLS)
elif dataset_split == problem.DatasetSplit.EVAL:
urls_path = generator_utils.maybe_download(tmp_dir, "all_val.txt",
_DEV_URLS)
else:
urls_path = generator_utils.maybe_download(tmp_dir, "all_test.txt",
_TEST_URLS)
return all_files, urls_path
|
[
"def",
"_maybe_download_corpora",
"(",
"tmp_dir",
",",
"dataset_split",
")",
":",
"cnn_filename",
"=",
"\"cnn_stories.tgz\"",
"cnn_finalpath",
"=",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"\"cnn/stories/\"",
")",
"dailymail_filename",
"=",
"\"dailymail_stories.tgz\"",
"dailymail_finalpath",
"=",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"\"dailymail/stories/\"",
")",
"if",
"not",
"tf",
".",
"gfile",
".",
"Exists",
"(",
"cnn_finalpath",
")",
":",
"cnn_file",
"=",
"generator_utils",
".",
"maybe_download_from_drive",
"(",
"tmp_dir",
",",
"cnn_filename",
",",
"_CNN_STORIES_DRIVE_URL",
")",
"with",
"tarfile",
".",
"open",
"(",
"cnn_file",
",",
"\"r:gz\"",
")",
"as",
"cnn_tar",
":",
"cnn_tar",
".",
"extractall",
"(",
"tmp_dir",
")",
"if",
"not",
"tf",
".",
"gfile",
".",
"Exists",
"(",
"dailymail_finalpath",
")",
":",
"dailymail_file",
"=",
"generator_utils",
".",
"maybe_download_from_drive",
"(",
"tmp_dir",
",",
"dailymail_filename",
",",
"_DAILYMAIL_STORIES_DRIVE_URL",
")",
"with",
"tarfile",
".",
"open",
"(",
"dailymail_file",
",",
"\"r:gz\"",
")",
"as",
"dailymail_tar",
":",
"dailymail_tar",
".",
"extractall",
"(",
"tmp_dir",
")",
"cnn_files",
"=",
"tf",
".",
"gfile",
".",
"Glob",
"(",
"cnn_finalpath",
"+",
"\"*\"",
")",
"dailymail_files",
"=",
"tf",
".",
"gfile",
".",
"Glob",
"(",
"dailymail_finalpath",
"+",
"\"*\"",
")",
"all_files",
"=",
"cnn_files",
"+",
"dailymail_files",
"if",
"dataset_split",
"==",
"problem",
".",
"DatasetSplit",
".",
"TRAIN",
":",
"urls_path",
"=",
"generator_utils",
".",
"maybe_download",
"(",
"tmp_dir",
",",
"\"all_train.txt\"",
",",
"_TRAIN_URLS",
")",
"elif",
"dataset_split",
"==",
"problem",
".",
"DatasetSplit",
".",
"EVAL",
":",
"urls_path",
"=",
"generator_utils",
".",
"maybe_download",
"(",
"tmp_dir",
",",
"\"all_val.txt\"",
",",
"_DEV_URLS",
")",
"else",
":",
"urls_path",
"=",
"generator_utils",
".",
"maybe_download",
"(",
"tmp_dir",
",",
"\"all_test.txt\"",
",",
"_TEST_URLS",
")",
"return",
"all_files",
",",
"urls_path"
] |
Download corpora if necessary and unzip them.
Args:
tmp_dir: directory containing dataset.
dataset_split: whether we're in train/dev/test mode.
Returns:
List of all files generated and path to file containing
train/dev/test split info.
|
[
"Download",
"corpora",
"if",
"necessary",
"and",
"unzip",
"them",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/cnn_dailymail.py#L67-L107
|
train
|
Download all files generated by CNN and Dailymail.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(182 - 134) + chr(7223 - 7112) + '\062' + '\x37' + chr(2245 - 2196), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\x31' + chr(1179 - 1129), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(0b110010) + '\x35' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(0b100110 + 0o14) + chr(0b1101 + 0o46) + '\x33', 0b1000), ehT0Px3KOsy9(chr(992 - 944) + chr(111) + chr(52) + chr(50), 62855 - 62847), ehT0Px3KOsy9(chr(48) + '\157' + chr(2397 - 2348) + chr(1369 - 1315) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(662 - 614) + chr(111) + chr(0b101010 + 0o11) + chr(0b1101 + 0o46) + chr(2127 - 2074), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\x32' + '\x35', 0o10), ehT0Px3KOsy9(chr(538 - 490) + chr(0b11110 + 0o121) + chr(51 - 1) + chr(2043 - 1994) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b11001 + 0o126) + chr(191 - 142) + chr(49) + chr(0b100110 + 0o14), 0o10), ehT0Px3KOsy9(chr(942 - 894) + '\157' + chr(0b1101 + 0o44) + chr(0b110011) + chr(418 - 366), 1061 - 1053), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(51) + '\x32' + chr(693 - 638), 2352 - 2344), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(52) + chr(0b110101), 20705 - 20697), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100011 + 0o16) + chr(0b110011 + 0o0) + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + chr(1595 - 1484) + chr(1422 - 1371) + chr(2297 - 2248) + chr(0b100100 + 0o16), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101100 + 0o7) + chr(0b1100 + 0o47) + '\x32', 2151 - 2143), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(0b110010) + chr(0b1011 + 0o50) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010110 + 0o31) + chr(1580 - 1530) + chr(54) + '\065', 15864 - 15856), ehT0Px3KOsy9(chr(0b110000) + chr(2377 - 2266) + '\063' + '\066', 0o10), ehT0Px3KOsy9(chr(738 - 690) + '\157' + chr(0b10000 + 0o43) + chr(304 - 249) + chr(2367 - 2312), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101000 + 0o7) + chr(0b100101 + 0o14) + chr(1111 - 1059) + '\x33', 10239 - 10231), ehT0Px3KOsy9(chr(93 - 45) + '\x6f' + chr(0b101111 + 0o6) + chr(49), 32604 - 32596), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b100001 + 0o23) + chr(1647 - 1596), 40677 - 40669), ehT0Px3KOsy9(chr(1084 - 1036) + '\157' + '\x32' + chr(0b110 + 0o57) + chr(0b111 + 0o55), 0o10), ehT0Px3KOsy9('\x30' + chr(1252 - 1141) + chr(0b110011) + chr(0b110001) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + chr(51) + chr(1202 - 1148) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x30' + '\x36', 0o10), ehT0Px3KOsy9(chr(2295 - 2247) + '\157' + '\061' + '\x36', 52827 - 52819), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(1245 - 1192), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\063' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111 + 0o0) + '\062' + chr(49) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1255 - 1207) + '\x6f' + '\x33' + '\x37' + chr(522 - 471), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\063', 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b1110 + 0o43) + chr(0b100010 + 0o21) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1182 - 1134) + '\x6f' + chr(0b110001) + chr(1443 - 1388) + chr(0b1110 + 0o42), 0o10), ehT0Px3KOsy9(chr(1490 - 1442) + '\x6f' + chr(49) + '\x33' + '\061', 0b1000), ehT0Px3KOsy9(chr(2223 - 2175) + chr(0b1101111) + '\063' + '\064' + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110011) + '\066', 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b110101) + chr(0b101 + 0o62), 37770 - 37762)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2015 - 1967) + '\x6f' + chr(1243 - 1190) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x97'), '\144' + chr(1120 - 1019) + chr(7636 - 7537) + '\157' + chr(100) + '\145')('\x75' + chr(2745 - 2629) + '\x66' + chr(314 - 269) + chr(1507 - 1451)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def oxMALP3yu1id(JsZ36NJUqtml, XqbfPmad1kJ4):
llj2ebDTUxTK = xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xa4\xc4\xc4Q\x05\xb2\xa7\xe2//\xf9\xd1;\xb0'), '\144' + '\x65' + '\x63' + chr(10520 - 10409) + '\144' + chr(101))(chr(0b1110101) + chr(0b1010001 + 0o43) + chr(0b1100110) + chr(0b101101) + chr(2566 - 2510))
SC7EvhwWAsgG = oqhJDdMJfuwx.path.join(JsZ36NJUqtml, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xa4\xc4\xb4Q\x05\xb2\xa7\xe2//\xf8'), chr(100) + chr(0b1100101) + chr(0b1001011 + 0o30) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(102) + chr(0b101101) + chr(56)))
SnXH0UOfbuGU = xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\xab\xc3\xf7[\x1c\xbc\xbc\xe7\x15/\xa3\xca.\xa3\xbf\xef\x9bj\x98\x19'), chr(100) + chr(101) + '\143' + chr(111) + chr(3332 - 3232) + chr(0b111 + 0o136))('\x75' + '\164' + chr(0b1011101 + 0o11) + '\x2d' + chr(0b111000))
X7xlnIdUIrkI = oqhJDdMJfuwx.path.join(JsZ36NJUqtml, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\xab\xc3\xf7[\x1c\xbc\xbc\xe7e/\xa3\xca.\xa3\xbf\xef\x9a'), chr(0b1100011 + 0o1) + '\x65' + chr(4129 - 4030) + chr(111) + chr(0b1011 + 0o131) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b110001 + 0o65) + '\055' + chr(0b111000)))
if not xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\xb2\xc3\xe8V\x02'), chr(7575 - 7475) + chr(3721 - 3620) + chr(4865 - 4766) + '\157' + chr(0b1100100) + chr(0b1001011 + 0o32))(chr(0b10001 + 0o144) + chr(0b1110100) + chr(1776 - 1674) + '\055' + chr(56)))(SC7EvhwWAsgG):
EsFFCbMVPmFd = g1Z_RG9zP4cD.maybe_download_from_drive(JsZ36NJUqtml, llj2ebDTUxTK, c2ZkwwlBZpLc)
with xafqLlk3kkUe(RxqDt8LqC5Ns, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6\xba\xcf\xf5'), '\144' + '\145' + chr(4896 - 4797) + chr(111) + chr(0b1100100) + chr(101))(chr(13326 - 13209) + chr(0b111110 + 0o66) + chr(8333 - 8231) + chr(0b101101) + chr(2153 - 2097)))(EsFFCbMVPmFd, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\xf0\xcd\xe1'), chr(0b1011111 + 0o5) + chr(0b100110 + 0o77) + chr(0b1100011) + chr(4126 - 4015) + chr(5262 - 5162) + '\145')(chr(0b1010010 + 0o43) + chr(0b1110100) + chr(0b1100110) + '\055' + '\070')) as aImdLm20PYyW:
xafqLlk3kkUe(aImdLm20PYyW, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xb2\xde\xe9C\x12\xa9\xb4\xe7&'), '\x64' + chr(0b1100 + 0o131) + '\143' + chr(0b1000111 + 0o50) + chr(100) + chr(1398 - 1297))(chr(117) + chr(10229 - 10113) + '\146' + chr(45) + chr(0b1001 + 0o57)))(JsZ36NJUqtml)
if not xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\xb2\xc3\xe8V\x02'), chr(0b1011111 + 0o5) + chr(101) + chr(99) + chr(0b1101111) + '\x64' + chr(101))('\x75' + chr(7654 - 7538) + '\146' + chr(0b101101) + chr(0b111000)))(X7xlnIdUIrkI):
YmtlzOg08iSn = g1Z_RG9zP4cD.maybe_download_from_drive(JsZ36NJUqtml, SnXH0UOfbuGU, zByEb_BKHZ6Z)
with xafqLlk3kkUe(RxqDt8LqC5Ns, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6\xba\xcf\xf5'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\157' + chr(0b101 + 0o137) + chr(101))('\x75' + chr(116) + chr(102) + chr(45) + '\070'))(YmtlzOg08iSn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\xf0\xcd\xe1'), '\x64' + '\145' + chr(0b11011 + 0o110) + chr(111) + '\144' + chr(101))('\x75' + chr(116) + '\146' + '\x2d' + '\x38')) as _8tkbE5HSPXt:
xafqLlk3kkUe(_8tkbE5HSPXt, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xb2\xde\xe9C\x12\xa9\xb4\xe7&'), chr(0b1000010 + 0o42) + chr(101) + chr(99) + chr(111) + chr(100) + chr(0b1100101))(chr(117) + chr(8738 - 8622) + '\x66' + '\x2d' + chr(0b101011 + 0o15)))(JsZ36NJUqtml)
j8hHRRNFYwSn = IDJ2eXGCBCDu.gfile.Glob(SC7EvhwWAsgG + xafqLlk3kkUe(SXOLrMavuUCe(b'\x93'), '\x64' + '\145' + chr(99) + '\x6f' + '\x64' + chr(0b1100101))('\x75' + '\164' + '\146' + chr(0b10101 + 0o30) + chr(0b111000)))
bcDP1g9HQbPP = IDJ2eXGCBCDu.gfile.Glob(X7xlnIdUIrkI + xafqLlk3kkUe(SXOLrMavuUCe(b'\x93'), chr(8837 - 8737) + '\145' + chr(0b1100011) + chr(761 - 650) + chr(0b1100100) + '\145')('\x75' + '\x74' + chr(8117 - 8015) + '\055' + chr(2862 - 2806)))
D3yg2cRsJaSx = j8hHRRNFYwSn + bcDP1g9HQbPP
if XqbfPmad1kJ4 == xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\x98\xeb\xd2l'), '\144' + '\145' + '\143' + '\x6f' + '\144' + '\145')('\165' + chr(0b111101 + 0o67) + chr(0b1100110) + chr(853 - 808) + chr(56))):
GCze6tYYGQAI = g1Z_RG9zP4cD.maybe_download(JsZ36NJUqtml, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xa6\xc6\xc4V\x03\xbc\xbc\xe5d(\xaf\xd1'), chr(721 - 621) + chr(5183 - 5082) + '\x63' + chr(0b111000 + 0o67) + chr(7174 - 7074) + chr(0b1100011 + 0o2))(chr(0b1110101) + chr(0b111001 + 0o73) + chr(102) + '\055' + chr(0b110000 + 0o10)), GKJBntoHmZpm)
elif XqbfPmad1kJ4 == xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\x9c\xeb\xd7'), '\144' + '\145' + '\143' + chr(0b1011101 + 0o22) + chr(0b110011 + 0o61) + chr(646 - 545))(chr(12463 - 12346) + '\164' + '\146' + chr(0b11010 + 0o23) + chr(84 - 28))):
GCze6tYYGQAI = g1Z_RG9zP4cD.maybe_download(JsZ36NJUqtml, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xa6\xc6\xc4T\x10\xb1\xfb\xff2('), chr(0b1100100) + '\145' + chr(0b1011001 + 0o12) + chr(0b1101111) + chr(9120 - 9020) + chr(1849 - 1748))('\x75' + chr(10002 - 9886) + chr(0b10011 + 0o123) + chr(0b101101) + chr(56)), PjhcZNbJ6wL7)
else:
GCze6tYYGQAI = g1Z_RG9zP4cD.maybe_download(JsZ36NJUqtml, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xa6\xc6\xc4V\x14\xae\xa1\xa5>$\xa3'), '\144' + '\x65' + chr(99) + chr(0b1101111) + chr(9007 - 8907) + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + chr(557 - 512) + '\070'), hxqp7sfmpGSL)
return (D3yg2cRsJaSx, GCze6tYYGQAI)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/cnn_dailymail.py
|
example_splits
|
def example_splits(url_file, all_files):
"""Generate splits of the data."""
def generate_hash(inp):
"""Generate a sha1 hash to match the raw url to the filename extracted."""
h = hashlib.sha1()
h.update(inp)
return h.hexdigest()
all_files_map = {f.split("/")[-1]: f for f in all_files}
urls = [line.strip().encode("utf-8") for line in tf.gfile.Open(url_file)]
filelist = []
for url in urls:
url_hash = generate_hash(url)
filename = url_hash + ".story"
if filename not in all_files_map:
tf.logging.info("Missing file: %s" % url)
continue
filelist.append(all_files_map[filename])
tf.logging.info("Found %d examples" % len(filelist))
return filelist
|
python
|
def example_splits(url_file, all_files):
"""Generate splits of the data."""
def generate_hash(inp):
"""Generate a sha1 hash to match the raw url to the filename extracted."""
h = hashlib.sha1()
h.update(inp)
return h.hexdigest()
all_files_map = {f.split("/")[-1]: f for f in all_files}
urls = [line.strip().encode("utf-8") for line in tf.gfile.Open(url_file)]
filelist = []
for url in urls:
url_hash = generate_hash(url)
filename = url_hash + ".story"
if filename not in all_files_map:
tf.logging.info("Missing file: %s" % url)
continue
filelist.append(all_files_map[filename])
tf.logging.info("Found %d examples" % len(filelist))
return filelist
|
[
"def",
"example_splits",
"(",
"url_file",
",",
"all_files",
")",
":",
"def",
"generate_hash",
"(",
"inp",
")",
":",
"\"\"\"Generate a sha1 hash to match the raw url to the filename extracted.\"\"\"",
"h",
"=",
"hashlib",
".",
"sha1",
"(",
")",
"h",
".",
"update",
"(",
"inp",
")",
"return",
"h",
".",
"hexdigest",
"(",
")",
"all_files_map",
"=",
"{",
"f",
".",
"split",
"(",
"\"/\"",
")",
"[",
"-",
"1",
"]",
":",
"f",
"for",
"f",
"in",
"all_files",
"}",
"urls",
"=",
"[",
"line",
".",
"strip",
"(",
")",
".",
"encode",
"(",
"\"utf-8\"",
")",
"for",
"line",
"in",
"tf",
".",
"gfile",
".",
"Open",
"(",
"url_file",
")",
"]",
"filelist",
"=",
"[",
"]",
"for",
"url",
"in",
"urls",
":",
"url_hash",
"=",
"generate_hash",
"(",
"url",
")",
"filename",
"=",
"url_hash",
"+",
"\".story\"",
"if",
"filename",
"not",
"in",
"all_files_map",
":",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Missing file: %s\"",
"%",
"url",
")",
"continue",
"filelist",
".",
"append",
"(",
"all_files_map",
"[",
"filename",
"]",
")",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Found %d examples\"",
"%",
"len",
"(",
"filelist",
")",
")",
"return",
"filelist"
] |
Generate splits of the data.
|
[
"Generate",
"splits",
"of",
"the",
"data",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/cnn_dailymail.py#L110-L134
|
train
|
Generate splits of the data.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(267 - 219) + chr(0b1011001 + 0o26) + chr(0b110001) + chr(54) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(53) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b10110 + 0o35) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7261 - 7150) + chr(0b10101 + 0o37) + chr(0b1 + 0o66), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10203 - 10092) + '\062' + chr(0b110111) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51), 34352 - 34344), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(67 - 17) + '\067' + '\063', 48982 - 48974), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(6290 - 6179) + '\x31' + chr(263 - 213) + chr(0b100111 + 0o14), 24890 - 24882), ehT0Px3KOsy9(chr(114 - 66) + chr(2102 - 1991) + chr(0b1100 + 0o47) + chr(0b11101 + 0o24) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b1101 + 0o52) + chr(0b110101), 39293 - 39285), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + '\063' + chr(0b1000 + 0o55) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4737 - 4626) + chr(0b101011 + 0o6) + chr(0b11111 + 0o22) + chr(2137 - 2086), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065' + '\x30', 0b1000), ehT0Px3KOsy9(chr(1462 - 1414) + '\x6f' + chr(0b100101 + 0o16) + '\062' + chr(0b101101 + 0o7), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(54) + chr(2085 - 2034), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100000 + 0o17) + '\x31' + chr(1513 - 1460), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(1769 - 1658) + chr(2294 - 2243) + '\x35' + chr(0b10001 + 0o42), 33026 - 33018), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(719 - 664) + chr(0b1100 + 0o50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110100) + chr(228 - 173), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\065' + chr(0b110000), 17041 - 17033), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1001 + 0o54) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2099 - 2044) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(50) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3697 - 3586) + '\x33' + chr(1709 - 1661) + chr(0b10001 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\066' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010 + 0o1) + chr(0b110000) + chr(0b100001 + 0o22), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10388 - 10277) + chr(0b11001 + 0o34) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\064' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(528 - 480) + '\157' + '\061' + chr(2707 - 2653) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\x30' + chr(1476 - 1423), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(691 - 637) + chr(1367 - 1314), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + '\063' + '\061' + chr(0b110100), 24056 - 24048), ehT0Px3KOsy9('\060' + chr(3172 - 3061) + '\063' + chr(0b11011 + 0o30) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(0b110010) + '\x32' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(1665 - 1617) + chr(0b1101111) + '\x32' + chr(49) + chr(1768 - 1719), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b110010) + '\065', 0o10), ehT0Px3KOsy9(chr(1130 - 1082) + chr(111) + '\x33' + chr(49) + chr(184 - 129), 48739 - 48731), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(550 - 501) + '\x30' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\067' + '\067', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(2277 - 2224) + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'X'), '\x64' + '\x65' + '\143' + chr(10571 - 10460) + '\144' + chr(0b1100101))('\165' + '\x74' + chr(0b1111 + 0o127) + chr(0b10100 + 0o31) + chr(0b1111 + 0o51)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def pPrsYdXYJ3CN(BBJrqBnNH3Ac, D3yg2cRsJaSx):
def aw9lE1oT_kBl(_axPQ91Y6C0x):
sz4HVsFVF8nL = sNzNrLIR8V9g.sha1()
xafqLlk3kkUe(sz4HVsFVF8nL, xafqLlk3kkUe(SXOLrMavuUCe(b',\x1a\x99b\xd5M\xf1k*\xfcX\xdd'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + '\144' + chr(101))(chr(0b1110101) + '\x74' + chr(4992 - 4890) + chr(0b1001 + 0o44) + chr(0b1110 + 0o52)))(_axPQ91Y6C0x)
return xafqLlk3kkUe(sz4HVsFVF8nL, xafqLlk3kkUe(SXOLrMavuUCe(b"\x1e\x0b\xa0C\xd5d\xdev'"), chr(0b1011110 + 0o6) + '\145' + '\143' + chr(111) + chr(5385 - 5285) + '\x65')(chr(2807 - 2690) + chr(0b1110100) + chr(0b1100110) + chr(1872 - 1827) + chr(56)))()
f6gh4_bgNHvL = {EGyt1xfPT1P6.split(xafqLlk3kkUe(SXOLrMavuUCe(b'Y'), chr(100) + chr(0b101110 + 0o67) + chr(0b1100011) + '\x6f' + chr(0b1111 + 0o125) + chr(0b1100011 + 0o2))(chr(117) + chr(116) + chr(0b1000111 + 0o37) + chr(0b10110 + 0o27) + chr(0b100000 + 0o30)))[-ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101001 + 0o10), 58552 - 58544)]: EGyt1xfPT1P6 for EGyt1xfPT1P6 in D3yg2cRsJaSx}
lICL5fdRQs5t = [LycYkDpyelF6.strip().encode(xafqLlk3kkUe(SXOLrMavuUCe(b'\x03\x1a\xbe\n\x84'), chr(0b1100100) + chr(0b1100101 + 0o0) + chr(0b100101 + 0o76) + chr(596 - 485) + '\144' + '\x65')(chr(0b1011110 + 0o27) + chr(0b1110100) + '\146' + chr(0b11010 + 0o23) + chr(0b111000))) for LycYkDpyelF6 in IDJ2eXGCBCDu.gfile.Open(BBJrqBnNH3Ac)]
_4SaU5nYA6Kf = []
for CYCr3xzMHl4K in lICL5fdRQs5t:
FyWLknOUbAe3 = aw9lE1oT_kBl(CYCr3xzMHl4K)
xw4DsBfIJ22E = FyWLknOUbAe3 + xafqLlk3kkUe(SXOLrMavuUCe(b'X\x1d\xacH\xcez'), chr(100) + chr(0b1000001 + 0o44) + '\x63' + chr(10933 - 10822) + chr(0b1001001 + 0o33) + chr(1900 - 1799))(chr(0b1001010 + 0o53) + chr(0b1110100) + chr(3839 - 3737) + chr(840 - 795) + '\070')
if xw4DsBfIJ22E not in f6gh4_bgNHvL:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'%Y\x90_\xc9`\xdc29\xa4g\x86'), chr(100) + '\x65' + chr(99) + chr(0b10110 + 0o131) + chr(0b1001100 + 0o30) + chr(4875 - 4774))(chr(0b1011 + 0o152) + chr(116) + chr(102) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b';\x07\xabT\xd5m\xdc%5\xa1Q\x88q\x08\xf1\x00'), '\x64' + '\145' + '\143' + chr(1665 - 1554) + chr(100) + '\145')('\x75' + '\x74' + '\x66' + chr(45) + '\x38') % CYCr3xzMHl4K)
continue
xafqLlk3kkUe(_4SaU5nYA6Kf, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\x1e\xa8B\xd2g'), chr(100) + '\145' + chr(99) + chr(0b11110 + 0o121) + chr(100) + chr(0b11110 + 0o107))(chr(117) + chr(116) + chr(102) + '\x2d' + '\x38'))(f6gh4_bgNHvL[xw4DsBfIJ22E])
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'%Y\x90_\xc9`\xdc29\xa4g\x86'), '\144' + chr(101) + chr(0b1100011) + chr(111) + chr(0b1100100) + '\x65')('\x75' + chr(116) + '\x66' + chr(45) + chr(1690 - 1634)))(xafqLlk3kkUe(SXOLrMavuUCe(b'0\x01\xadI\xd8#\x9eas\xadE\x8c&X\xb8\x16~'), chr(0b111101 + 0o47) + chr(0b1100101) + chr(0b1011010 + 0o11) + chr(0b100000 + 0o117) + '\x64' + chr(101))('\x75' + '\164' + chr(0b1100110) + chr(45) + chr(2686 - 2630)) % c2A0yzQpDQB3(_4SaU5nYA6Kf))
return _4SaU5nYA6Kf
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/cnn_dailymail.py
|
example_generator
|
def example_generator(all_files, urls_path, sum_token):
"""Generate examples."""
def fix_run_on_sents(line):
if u"@highlight" in line:
return line
if not line:
return line
if line[-1] in END_TOKENS:
return line
return line + u"."
filelist = example_splits(urls_path, all_files)
story_summary_split_token = u" <summary> " if sum_token else " "
for story_file in filelist:
story = []
summary = []
reading_highlights = False
for line in tf.gfile.Open(story_file, "rb"):
line = text_encoder.to_unicode_utf8(line.strip())
line = fix_run_on_sents(line)
if not line:
continue
elif line.startswith(u"@highlight"):
if not story:
break # No article text.
reading_highlights = True
elif reading_highlights:
summary.append(line)
else:
story.append(line)
if (not story) or not summary:
continue
yield " ".join(story) + story_summary_split_token + " ".join(summary)
|
python
|
def example_generator(all_files, urls_path, sum_token):
"""Generate examples."""
def fix_run_on_sents(line):
if u"@highlight" in line:
return line
if not line:
return line
if line[-1] in END_TOKENS:
return line
return line + u"."
filelist = example_splits(urls_path, all_files)
story_summary_split_token = u" <summary> " if sum_token else " "
for story_file in filelist:
story = []
summary = []
reading_highlights = False
for line in tf.gfile.Open(story_file, "rb"):
line = text_encoder.to_unicode_utf8(line.strip())
line = fix_run_on_sents(line)
if not line:
continue
elif line.startswith(u"@highlight"):
if not story:
break # No article text.
reading_highlights = True
elif reading_highlights:
summary.append(line)
else:
story.append(line)
if (not story) or not summary:
continue
yield " ".join(story) + story_summary_split_token + " ".join(summary)
|
[
"def",
"example_generator",
"(",
"all_files",
",",
"urls_path",
",",
"sum_token",
")",
":",
"def",
"fix_run_on_sents",
"(",
"line",
")",
":",
"if",
"u\"@highlight\"",
"in",
"line",
":",
"return",
"line",
"if",
"not",
"line",
":",
"return",
"line",
"if",
"line",
"[",
"-",
"1",
"]",
"in",
"END_TOKENS",
":",
"return",
"line",
"return",
"line",
"+",
"u\".\"",
"filelist",
"=",
"example_splits",
"(",
"urls_path",
",",
"all_files",
")",
"story_summary_split_token",
"=",
"u\" <summary> \"",
"if",
"sum_token",
"else",
"\" \"",
"for",
"story_file",
"in",
"filelist",
":",
"story",
"=",
"[",
"]",
"summary",
"=",
"[",
"]",
"reading_highlights",
"=",
"False",
"for",
"line",
"in",
"tf",
".",
"gfile",
".",
"Open",
"(",
"story_file",
",",
"\"rb\"",
")",
":",
"line",
"=",
"text_encoder",
".",
"to_unicode_utf8",
"(",
"line",
".",
"strip",
"(",
")",
")",
"line",
"=",
"fix_run_on_sents",
"(",
"line",
")",
"if",
"not",
"line",
":",
"continue",
"elif",
"line",
".",
"startswith",
"(",
"u\"@highlight\"",
")",
":",
"if",
"not",
"story",
":",
"break",
"# No article text.",
"reading_highlights",
"=",
"True",
"elif",
"reading_highlights",
":",
"summary",
".",
"append",
"(",
"line",
")",
"else",
":",
"story",
".",
"append",
"(",
"line",
")",
"if",
"(",
"not",
"story",
")",
"or",
"not",
"summary",
":",
"continue",
"yield",
"\" \"",
".",
"join",
"(",
"story",
")",
"+",
"story_summary_split_token",
"+",
"\" \"",
".",
"join",
"(",
"summary",
")"
] |
Generate examples.
|
[
"Generate",
"examples",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/cnn_dailymail.py#L137-L173
|
train
|
Generate examples.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(755 - 707) + chr(111) + '\063' + '\x32', 61131 - 61123), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x35' + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2202 - 2091) + '\062' + chr(0b101011 + 0o11) + chr(50), 47565 - 47557), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(2381 - 2332) + chr(931 - 883), 0o10), ehT0Px3KOsy9(chr(1672 - 1624) + chr(0b10 + 0o155) + '\064' + chr(0b10011 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\x32' + chr(0b10000 + 0o40) + chr(697 - 647), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11001 + 0o31) + chr(0b101011 + 0o11) + '\066', 59211 - 59203), ehT0Px3KOsy9(chr(0b110000) + chr(0b10011 + 0o134) + chr(0b110001) + chr(0b110011) + chr(1712 - 1657), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(50) + chr(0b110011) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(847 - 799) + chr(0b1101111) + chr(49) + '\x35' + chr(0b100011 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4606 - 4495) + chr(0b110010) + '\060' + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100000 + 0o22) + '\x34' + chr(0b1011 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b100000 + 0o22) + chr(720 - 670) + '\x37', 0o10), ehT0Px3KOsy9(chr(1955 - 1907) + chr(0b1101111) + '\063' + chr(54) + chr(486 - 438), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110111) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\x31' + chr(49) + chr(0b110110 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(783 - 732) + chr(55) + chr(579 - 530), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11011 + 0o124) + chr(458 - 409) + chr(1353 - 1300) + chr(0b110100), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(51) + chr(0b11001 + 0o35), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110010) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(1033 - 985) + chr(3297 - 3186) + chr(0b1100 + 0o45) + chr(54) + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\063' + chr(0b110101 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b10110 + 0o131) + chr(0b110001) + '\x30' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1235 - 1186) + chr(0b110000) + '\x36', 53888 - 53880), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b111 + 0o51) + chr(0b110011), 46838 - 46830), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110010) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x37' + chr(0b10 + 0o64), 35298 - 35290), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110 + 0o55), 0o10), ehT0Px3KOsy9('\x30' + chr(8701 - 8590) + chr(49) + '\x33' + chr(0b110010 + 0o3), 4358 - 4350), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b11000 + 0o127) + chr(50) + chr(297 - 246) + '\x30', 0o10), ehT0Px3KOsy9(chr(1044 - 996) + '\x6f' + chr(51) + '\x37' + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001 + 0o0) + chr(307 - 256), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + chr(0b110001) + chr(52) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(54) + chr(0b101000 + 0o15), 42523 - 42515), ehT0Px3KOsy9(chr(48) + '\157' + chr(411 - 361) + '\062' + chr(54), 0o10), ehT0Px3KOsy9(chr(2159 - 2111) + chr(111) + '\x32' + chr(1600 - 1547) + chr(0b101000 + 0o14), 42665 - 42657), ehT0Px3KOsy9('\x30' + '\x6f' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1821 - 1773) + '\157' + chr(51) + chr(48) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\066' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1898 - 1843) + chr(0b101010 + 0o14), 27545 - 27537)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011 + 0o2) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'4'), chr(2825 - 2725) + chr(0b1100101) + chr(6356 - 6257) + chr(111) + '\x64' + '\x65')(chr(0b10110 + 0o137) + '\164' + chr(455 - 353) + chr(0b1010 + 0o43) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nZtIZFekDpdL(D3yg2cRsJaSx, GCze6tYYGQAI, Z5Qb3UuOZQfU):
def O93ifsiSub4u(LycYkDpyelF6):
if xafqLlk3kkUe(SXOLrMavuUCe(b'Z\xc0\xcboK\xee\xcf8\xf2\x18'), '\x64' + chr(101) + '\143' + chr(0b1101111) + '\144' + '\145')(chr(117) + '\164' + chr(0b10111 + 0o117) + chr(0b101011 + 0o2) + chr(56)) in LycYkDpyelF6:
return LycYkDpyelF6
if not LycYkDpyelF6:
return LycYkDpyelF6
if LycYkDpyelF6[-ehT0Px3KOsy9(chr(312 - 264) + '\x6f' + chr(0b110 + 0o53), 0o10)] in J4QoyscHKfrq:
return LycYkDpyelF6
return LycYkDpyelF6 + xafqLlk3kkUe(SXOLrMavuUCe(b'4'), chr(0b1100100) + '\145' + chr(0b1100011) + '\157' + '\144' + '\x65')(chr(0b1110101) + '\x74' + chr(0b1011110 + 0o10) + chr(0b11010 + 0o23) + '\x38')
_4SaU5nYA6Kf = pPrsYdXYJ3CN(GCze6tYYGQAI, D3yg2cRsJaSx)
jYHgfbg53wBa = xafqLlk3kkUe(SXOLrMavuUCe(b':\x94\xd1}N\xef\xc7-\xe3R\xa6'), '\x64' + chr(0b10001 + 0o124) + chr(99) + chr(0b1101001 + 0o6) + chr(100) + chr(101))('\x75' + chr(0b1110100) + chr(0b1100110) + '\055' + '\070') if Z5Qb3UuOZQfU else xafqLlk3kkUe(SXOLrMavuUCe(b':'), chr(0b1100100) + chr(0b11000 + 0o115) + '\x63' + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b111000))
for FErhOJx_cZmF in _4SaU5nYA6Kf:
nb6XJ8iOZMZo = []
oLgyQ45ORWXM = []
msRKa_rUr7Il = ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + '\x30', ord("\x08"))
for LycYkDpyelF6 in xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'U\xd8\xc7f'), chr(0b1011001 + 0o13) + chr(0b1011110 + 0o7) + chr(0b101001 + 0o72) + chr(111) + chr(100) + '\145')(chr(0b1011 + 0o152) + chr(0b1110100) + '\146' + chr(1503 - 1458) + '\x38'))(FErhOJx_cZmF, xafqLlk3kkUe(SXOLrMavuUCe(b'h\xca'), chr(7086 - 6986) + chr(4705 - 4604) + chr(3351 - 3252) + chr(0b1101000 + 0o7) + '\x64' + '\x65')('\x75' + '\164' + chr(1856 - 1754) + chr(45) + chr(0b111000))):
LycYkDpyelF6 = nCRDzZ_Is9fz.to_unicode_utf8(LycYkDpyelF6.strip())
LycYkDpyelF6 = O93ifsiSub4u(LycYkDpyelF6)
if not LycYkDpyelF6:
continue
elif xafqLlk3kkUe(LycYkDpyelF6, xafqLlk3kkUe(SXOLrMavuUCe(b'i\xdc\xc3zW\xf1\xd16\xee\x04'), chr(0b1100100) + '\x65' + '\143' + '\157' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(1567 - 1451) + chr(102) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'Z\xc0\xcboK\xee\xcf8\xf2\x18'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(102) + '\055' + chr(0b111000))):
if not nb6XJ8iOZMZo:
break
msRKa_rUr7Il = ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 8)
elif msRKa_rUr7Il:
xafqLlk3kkUe(oLgyQ45ORWXM, xafqLlk3kkUe(SXOLrMavuUCe(b'{\xd8\xd2mM\xe6'), chr(0b1010010 + 0o22) + chr(3191 - 3090) + '\143' + chr(2234 - 2123) + chr(0b1100100) + chr(1212 - 1111))(chr(0b0 + 0o165) + '\x74' + chr(102) + '\x2d' + chr(0b101101 + 0o13)))(LycYkDpyelF6)
else:
xafqLlk3kkUe(nb6XJ8iOZMZo, xafqLlk3kkUe(SXOLrMavuUCe(b'{\xd8\xd2mM\xe6'), '\144' + chr(0b1100101) + chr(99) + chr(3337 - 3226) + '\144' + '\x65')(chr(0b1110101) + '\164' + chr(0b1101 + 0o131) + '\055' + chr(56)))(LycYkDpyelF6)
if not nb6XJ8iOZMZo or not oLgyQ45ORWXM:
continue
yield (xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b':'), chr(100) + '\145' + chr(0b1110 + 0o125) + chr(111) + '\144' + '\145')('\x75' + '\164' + chr(5504 - 5402) + chr(0b1 + 0o54) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'p\xc7\xcbf'), '\x64' + chr(0b1100101) + '\143' + chr(0b1010111 + 0o30) + chr(100) + chr(0b1100101))(chr(117) + '\164' + '\x66' + '\x2d' + chr(56)))(nb6XJ8iOZMZo) + jYHgfbg53wBa + xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b':'), chr(0b1000011 + 0o41) + chr(101) + chr(0b1100011) + '\x6f' + '\144' + '\x65')('\x75' + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'p\xc7\xcbf'), chr(0b1100100) + chr(5761 - 5660) + chr(0b1010011 + 0o20) + chr(0b1101111) + '\144' + chr(0b101011 + 0o72))(chr(0b1110101) + chr(0b111101 + 0o67) + '\x66' + chr(1437 - 1392) + '\x38'))(oLgyQ45ORWXM))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/cnn_dailymail.py
|
write_raw_text_to_files
|
def write_raw_text_to_files(all_files, urls_path, dataset_split, tmp_dir):
"""Write text to files."""
def write_to_file(all_files, urls_path, tmp_dir, filename):
"""Write text to files."""
with io.open(
os.path.join(tmp_dir, filename + ".source"), "w",
encoding="utf-8") as fstory:
with io.open(
os.path.join(tmp_dir, filename + ".target"), "w",
encoding="utf-8") as fsummary:
for example in example_generator(all_files, urls_path, sum_token=True):
story, summary = _story_summary_split(example)
fstory.write(story + "\n")
fsummary.write(summary + "\n")
if dataset_split == problem.DatasetSplit.TRAIN:
filename = "cnndm.train"
elif dataset_split == problem.DatasetSplit.EVAL:
filename = "cnndm.dev"
else:
filename = "cnndm.test"
tf.logging.info("Writing %s" % filename)
write_to_file(all_files, urls_path, tmp_dir, filename)
|
python
|
def write_raw_text_to_files(all_files, urls_path, dataset_split, tmp_dir):
"""Write text to files."""
def write_to_file(all_files, urls_path, tmp_dir, filename):
"""Write text to files."""
with io.open(
os.path.join(tmp_dir, filename + ".source"), "w",
encoding="utf-8") as fstory:
with io.open(
os.path.join(tmp_dir, filename + ".target"), "w",
encoding="utf-8") as fsummary:
for example in example_generator(all_files, urls_path, sum_token=True):
story, summary = _story_summary_split(example)
fstory.write(story + "\n")
fsummary.write(summary + "\n")
if dataset_split == problem.DatasetSplit.TRAIN:
filename = "cnndm.train"
elif dataset_split == problem.DatasetSplit.EVAL:
filename = "cnndm.dev"
else:
filename = "cnndm.test"
tf.logging.info("Writing %s" % filename)
write_to_file(all_files, urls_path, tmp_dir, filename)
|
[
"def",
"write_raw_text_to_files",
"(",
"all_files",
",",
"urls_path",
",",
"dataset_split",
",",
"tmp_dir",
")",
":",
"def",
"write_to_file",
"(",
"all_files",
",",
"urls_path",
",",
"tmp_dir",
",",
"filename",
")",
":",
"\"\"\"Write text to files.\"\"\"",
"with",
"io",
".",
"open",
"(",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"filename",
"+",
"\".source\"",
")",
",",
"\"w\"",
",",
"encoding",
"=",
"\"utf-8\"",
")",
"as",
"fstory",
":",
"with",
"io",
".",
"open",
"(",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"filename",
"+",
"\".target\"",
")",
",",
"\"w\"",
",",
"encoding",
"=",
"\"utf-8\"",
")",
"as",
"fsummary",
":",
"for",
"example",
"in",
"example_generator",
"(",
"all_files",
",",
"urls_path",
",",
"sum_token",
"=",
"True",
")",
":",
"story",
",",
"summary",
"=",
"_story_summary_split",
"(",
"example",
")",
"fstory",
".",
"write",
"(",
"story",
"+",
"\"\\n\"",
")",
"fsummary",
".",
"write",
"(",
"summary",
"+",
"\"\\n\"",
")",
"if",
"dataset_split",
"==",
"problem",
".",
"DatasetSplit",
".",
"TRAIN",
":",
"filename",
"=",
"\"cnndm.train\"",
"elif",
"dataset_split",
"==",
"problem",
".",
"DatasetSplit",
".",
"EVAL",
":",
"filename",
"=",
"\"cnndm.dev\"",
"else",
":",
"filename",
"=",
"\"cnndm.test\"",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Writing %s\"",
"%",
"filename",
")",
"write_to_file",
"(",
"all_files",
",",
"urls_path",
",",
"tmp_dir",
",",
"filename",
")"
] |
Write text to files.
|
[
"Write",
"text",
"to",
"files",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/cnn_dailymail.py#L183-L207
|
train
|
Write text to files.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(4091 - 3980) + chr(49) + chr(0b110010) + chr(0b100011 + 0o20), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + chr(0b110100) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\x36' + chr(0b110010 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(51) + chr(1798 - 1745) + chr(1426 - 1372), 52270 - 52262), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101011 + 0o7) + chr(0b1011 + 0o54) + chr(0b11011 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11110 + 0o23) + chr(2224 - 2172), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\065' + '\x32', 57635 - 57627), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\060' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\x36' + chr(313 - 259), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101100 + 0o3) + chr(50) + chr(0b101101 + 0o5) + chr(1826 - 1773), 58892 - 58884), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(49) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(55) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x33' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(2219 - 2171) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(8623 - 8512) + chr(49) + chr(0b110101) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6112 - 6001) + '\x31' + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(7423 - 7312) + chr(1455 - 1406) + chr(2003 - 1950) + chr(582 - 533), 20135 - 20127), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1993 - 1942) + chr(1327 - 1274) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + '\x31' + chr(0b101101 + 0o3) + '\062', 35818 - 35810), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110000 + 0o1) + chr(832 - 777) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7520 - 7409) + chr(0b110010 + 0o1), 0b1000), ehT0Px3KOsy9(chr(689 - 641) + chr(0b1101111) + chr(0b111 + 0o53) + '\x30' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1010011 + 0o34) + chr(2457 - 2407) + '\062' + '\x33', 0b1000), ehT0Px3KOsy9(chr(2111 - 2063) + '\x6f' + '\065' + chr(1114 - 1059), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(0b10100 + 0o37) + chr(0b11000 + 0o35) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b100000 + 0o117) + chr(0b10100 + 0o36) + '\060' + chr(1354 - 1306), 64611 - 64603), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1100111 + 0o10) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(2244 - 2195) + chr(2556 - 2505) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + chr(0b101001 + 0o10) + chr(0b101 + 0o54) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + chr(0b110010) + chr(53) + chr(1012 - 958), 0b1000), ehT0Px3KOsy9(chr(2073 - 2025) + '\157' + '\061' + chr(0b110101) + chr(631 - 581), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b11001 + 0o32) + chr(55), 8), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(0b110011) + chr(53) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110100) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11773 - 11662) + chr(1339 - 1289) + chr(1090 - 1037) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(7080 - 6969) + chr(407 - 354) + chr(715 - 662), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011001 + 0o26) + '\061' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(5836 - 5725) + chr(2030 - 1981) + '\067' + chr(0b110111 + 0o0), 8), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(0b10111 + 0o32) + chr(2580 - 2527) + '\063', 53962 - 53954)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(2720 - 2619))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b1001 + 0o44) + chr(0b100000 + 0o30)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def z3ivwyELp48P(D3yg2cRsJaSx, GCze6tYYGQAI, XqbfPmad1kJ4, JsZ36NJUqtml):
def KYuvTJQWKouJ(D3yg2cRsJaSx, GCze6tYYGQAI, JsZ36NJUqtml, xw4DsBfIJ22E):
with xafqLlk3kkUe(Bey9a5LqdaFa, xafqLlk3kkUe(SXOLrMavuUCe(b'<R\x13\x80'), chr(0b1100100) + chr(4801 - 4700) + '\x63' + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1110 + 0o147) + '\x74' + chr(0b110010 + 0o64) + chr(45) + chr(377 - 321)))(xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'9M\x1f\x80'), chr(0b100000 + 0o104) + chr(0b1100101) + chr(0b10001 + 0o122) + chr(0b101 + 0o152) + chr(0b1100100) + chr(0b111001 + 0o54))(chr(117) + chr(116) + chr(9344 - 9242) + chr(0b101101) + '\x38'))(JsZ36NJUqtml, xw4DsBfIJ22E + xafqLlk3kkUe(SXOLrMavuUCe(b'}Q\x19\x9b\xc9ow'), chr(0b1100000 + 0o4) + '\145' + chr(0b1100011) + chr(0b1101111) + '\144' + chr(101))(chr(117) + '\164' + chr(0b1100110) + '\055' + chr(0b111000 + 0o0))), xafqLlk3kkUe(SXOLrMavuUCe(b'$'), chr(100) + chr(7587 - 7486) + chr(99) + chr(5332 - 5221) + chr(4429 - 4329) + chr(0b1100101))(chr(117) + '\164' + chr(0b110101 + 0o61) + '\055' + '\070'), encoding=xafqLlk3kkUe(SXOLrMavuUCe(b'&V\x10\xc3\x83'), chr(0b111110 + 0o46) + chr(0b1100101) + '\143' + chr(0b100111 + 0o110) + '\x64' + '\x65')('\165' + chr(116) + chr(4149 - 4047) + chr(0b101101) + chr(56))) as UCSfzg8srlig:
with xafqLlk3kkUe(Bey9a5LqdaFa, xafqLlk3kkUe(SXOLrMavuUCe(b'<R\x13\x80'), chr(100) + chr(7511 - 7410) + chr(7908 - 7809) + chr(5936 - 5825) + chr(0b1100100) + chr(101))(chr(943 - 826) + chr(116) + chr(102) + '\055' + chr(56)))(xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'9M\x1f\x80'), chr(100) + chr(0b1100101) + '\x63' + '\x6f' + '\144' + '\x65')(chr(0b1110101) + '\x74' + '\146' + chr(0b101101) + chr(56)))(JsZ36NJUqtml, xw4DsBfIJ22E + xafqLlk3kkUe(SXOLrMavuUCe(b'}V\x17\x9c\xdcif'), chr(0b111010 + 0o52) + '\145' + chr(0b101111 + 0o64) + '\x6f' + '\144' + chr(0b11111 + 0o106))('\x75' + '\x74' + '\146' + chr(45) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'$'), chr(100) + chr(0b100100 + 0o101) + chr(99) + chr(0b100011 + 0o114) + '\144' + chr(0b1100101))('\x75' + chr(4097 - 3981) + '\x66' + chr(45) + chr(0b10001 + 0o47)), encoding=xafqLlk3kkUe(SXOLrMavuUCe(b'&V\x10\xc3\x83'), chr(0b1100100) + chr(0b1010010 + 0o23) + '\x63' + chr(0b1011 + 0o144) + chr(0b10111 + 0o115) + chr(0b11110 + 0o107))(chr(117) + '\x74' + '\x66' + chr(1839 - 1794) + chr(457 - 401))) as w9D8EWqIQyzn:
for kP4qaKv0ZkGv in nZtIZFekDpdL(D3yg2cRsJaSx, GCze6tYYGQAI, sum_token=ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), 43154 - 43146)):
(nb6XJ8iOZMZo, oLgyQ45ORWXM) = HKCL5xPKuCqn(kP4qaKv0ZkGv)
xafqLlk3kkUe(UCSfzg8srlig, xafqLlk3kkUe(SXOLrMavuUCe(b'$P\x1f\x9a\xde'), chr(0b100011 + 0o101) + chr(8832 - 8731) + '\x63' + chr(1996 - 1885) + chr(2252 - 2152) + '\145')(chr(7758 - 7641) + chr(116) + chr(0b0 + 0o146) + chr(0b101101) + chr(0b111000)))(nb6XJ8iOZMZo + xafqLlk3kkUe(SXOLrMavuUCe(b'Y'), chr(100) + chr(0b111011 + 0o52) + chr(0b1100011) + '\x6f' + chr(0b101111 + 0o65) + chr(0b101000 + 0o75))('\165' + chr(6148 - 6032) + chr(0b10 + 0o144) + '\x2d' + chr(0b111000)))
xafqLlk3kkUe(w9D8EWqIQyzn, xafqLlk3kkUe(SXOLrMavuUCe(b'$P\x1f\x9a\xde'), '\x64' + chr(0b1100101) + chr(99) + chr(111) + '\x64' + chr(101))('\x75' + chr(0b10011 + 0o141) + chr(6227 - 6125) + '\x2d' + '\070'))(oLgyQ45ORWXM + xafqLlk3kkUe(SXOLrMavuUCe(b'Y'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(5874 - 5763) + chr(0b1100100) + chr(0b10100 + 0o121))('\x75' + '\164' + chr(102) + chr(0b100100 + 0o11) + chr(56)))
if XqbfPmad1kJ4 == xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07p7\xa7\xf5'), '\x64' + chr(0b1010000 + 0o25) + '\143' + chr(0b1011 + 0o144) + chr(7757 - 7657) + chr(0b1100101))('\x75' + chr(0b1110100) + '\x66' + '\055' + '\070')):
xw4DsBfIJ22E = xafqLlk3kkUe(SXOLrMavuUCe(b'0L\x18\x8a\xd6"f\xd8$\x9f\xfb'), chr(1376 - 1276) + '\145' + chr(7181 - 7082) + chr(111) + chr(100) + chr(0b110010 + 0o63))('\165' + chr(0b1110100) + chr(0b110010 + 0o64) + chr(45) + chr(0b111000))
elif XqbfPmad1kJ4 == xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16t7\xa2'), chr(2938 - 2838) + chr(0b1100101) + '\x63' + chr(111) + '\x64' + '\x65')('\165' + chr(0b1000001 + 0o63) + '\x66' + chr(508 - 463) + chr(0b1011 + 0o55))):
xw4DsBfIJ22E = xafqLlk3kkUe(SXOLrMavuUCe(b'0L\x18\x8a\xd6"v\xcf3'), chr(6385 - 6285) + chr(0b100100 + 0o101) + '\x63' + chr(10969 - 10858) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(102) + '\x2d' + chr(0b111000))
else:
xw4DsBfIJ22E = xafqLlk3kkUe(SXOLrMavuUCe(b'0L\x18\x8a\xd6"f\xcf6\x82'), chr(0b1100100) + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1101011 + 0o12) + '\164' + chr(1131 - 1029) + '\055' + '\x38')
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x00\x15>\x96\xceou\x9d/\x9a\xcf\xa4'), chr(100) + '\145' + chr(99) + chr(0b1101111 + 0o0) + chr(0b1000 + 0o134) + '\145')('\x75' + '\164' + chr(102) + chr(45) + chr(2276 - 2220)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x04P\x1f\x9a\xd2bu\x8a`\x85'), chr(5831 - 5731) + '\x65' + chr(0b10100 + 0o117) + '\157' + chr(3264 - 3164) + chr(0b11100 + 0o111))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(1448 - 1403) + chr(56)) % xw4DsBfIJ22E)
KYuvTJQWKouJ(D3yg2cRsJaSx, GCze6tYYGQAI, JsZ36NJUqtml, xw4DsBfIJ22E)
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/player_utils.py
|
infer_last_epoch_num
|
def infer_last_epoch_num(data_dir):
"""Infer highest epoch number from file names in data_dir."""
names = os.listdir(data_dir)
epochs_str = [re.findall(pattern=r".*\.(-?\d+)$", string=name)
for name in names]
epochs_str = sum(epochs_str, [])
return max([int(epoch_str) for epoch_str in epochs_str])
|
python
|
def infer_last_epoch_num(data_dir):
"""Infer highest epoch number from file names in data_dir."""
names = os.listdir(data_dir)
epochs_str = [re.findall(pattern=r".*\.(-?\d+)$", string=name)
for name in names]
epochs_str = sum(epochs_str, [])
return max([int(epoch_str) for epoch_str in epochs_str])
|
[
"def",
"infer_last_epoch_num",
"(",
"data_dir",
")",
":",
"names",
"=",
"os",
".",
"listdir",
"(",
"data_dir",
")",
"epochs_str",
"=",
"[",
"re",
".",
"findall",
"(",
"pattern",
"=",
"r\".*\\.(-?\\d+)$\"",
",",
"string",
"=",
"name",
")",
"for",
"name",
"in",
"names",
"]",
"epochs_str",
"=",
"sum",
"(",
"epochs_str",
",",
"[",
"]",
")",
"return",
"max",
"(",
"[",
"int",
"(",
"epoch_str",
")",
"for",
"epoch_str",
"in",
"epochs_str",
"]",
")"
] |
Infer highest epoch number from file names in data_dir.
|
[
"Infer",
"highest",
"epoch",
"number",
"from",
"file",
"names",
"in",
"data_dir",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/player_utils.py#L123-L129
|
train
|
Infer highest epoch number from file names in data_dir.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b110001) + '\x34' + chr(0b11 + 0o63), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x33' + chr(0b1111 + 0o45), 8966 - 8958), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000 + 0o2) + '\x37' + chr(249 - 195), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1733 - 1682) + chr(0b110101) + chr(0b10111 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(2197 - 2146) + chr(2400 - 2345) + chr(0b100111 + 0o13), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10110 + 0o34) + chr(1928 - 1875) + chr(224 - 171), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + '\063' + chr(0b101100 + 0o4) + '\064', 2730 - 2722), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(51) + chr(0b110101) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000101 + 0o52) + chr(49) + chr(0b110111) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(55) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1886 - 1838) + chr(111) + chr(2135 - 2084) + chr(50) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b110010) + chr(1966 - 1917), 0b1000), ehT0Px3KOsy9(chr(1219 - 1171) + chr(0b1101111) + '\x31' + '\x31' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9008 - 8897) + chr(51) + '\063' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(297 - 248) + '\067' + chr(0b110111), 13229 - 13221), ehT0Px3KOsy9(chr(1952 - 1904) + '\x6f' + '\061' + chr(0b101001 + 0o10) + '\065', 0o10), ehT0Px3KOsy9(chr(2071 - 2023) + chr(7346 - 7235) + chr(1280 - 1229) + chr(0b1101 + 0o51) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4414 - 4303) + chr(0b101001 + 0o11) + chr(1499 - 1447) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\064' + chr(2229 - 2179), 0b1000), ehT0Px3KOsy9(chr(1090 - 1042) + chr(111) + chr(0b110011 + 0o1) + '\066', 0o10), ehT0Px3KOsy9(chr(1326 - 1278) + chr(111) + '\x33' + chr(0b100010 + 0o24) + chr(0b1 + 0o63), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1528 - 1477) + '\064' + chr(91 - 41), 0b1000), ehT0Px3KOsy9(chr(564 - 516) + chr(0b1101111) + chr(0b10011 + 0o41) + '\061', 0o10), ehT0Px3KOsy9(chr(1014 - 966) + chr(0b1101111) + chr(0b10100 + 0o41) + chr(2633 - 2578), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(0b110111) + '\064', 0o10), ehT0Px3KOsy9(chr(870 - 822) + chr(0b1101111) + '\063' + chr(0b110100) + chr(175 - 125), 8), ehT0Px3KOsy9(chr(392 - 344) + chr(10630 - 10519) + chr(0b10000 + 0o45) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9699 - 9588) + chr(1369 - 1319) + chr(0b110010) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5026 - 4915) + chr(50) + chr(0b111 + 0o57) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\067' + chr(404 - 351), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101111 + 0o7) + '\063', 36261 - 36253), ehT0Px3KOsy9(chr(2281 - 2233) + '\x6f' + '\063' + '\063' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b1101 + 0o50) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001001 + 0o46) + chr(0b100000 + 0o23) + '\062' + chr(1185 - 1130), 0o10), ehT0Px3KOsy9(chr(834 - 786) + chr(111) + chr(0b110011) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110 + 0o151) + chr(51) + chr(2379 - 2326) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\x37' + chr(68 - 18), 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(0b110001) + '\x37' + chr(0b101 + 0o57), 0o10), ehT0Px3KOsy9(chr(1787 - 1739) + chr(0b1101111) + chr(0b110011) + '\x34' + chr(0b111 + 0o56), 12635 - 12627)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'H'), chr(3651 - 3551) + '\145' + chr(0b1001110 + 0o25) + chr(0b1101111) + chr(0b1100100) + chr(7239 - 7138))('\x75' + chr(0b1110100) + chr(9060 - 8958) + chr(185 - 140) + chr(0b110100 + 0o4)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def L8xGEMEJxCXl(kVFRD544hi_1):
OcnR1hZ7pGdr = oqhJDdMJfuwx.listdir(kVFRD544hi_1)
mw77MbafwBz8 = [_7u55U49WwX2.findall(pattern=xafqLlk3kkUe(SXOLrMavuUCe(b'Hv\xe2\xc5\xd2\x80\xfb\xb1\x1c\xd0\xf9\xf5'), chr(0b111 + 0o135) + '\145' + '\x63' + '\157' + chr(100) + '\145')(chr(0b1110101) + '\x74' + chr(102) + chr(0b11011 + 0o22) + chr(0b111000)), string=AIvJRzLdDfgF) for AIvJRzLdDfgF in OcnR1hZ7pGdr]
mw77MbafwBz8 = xkxBmo49x2An(mw77MbafwBz8, [])
return tsdjvlgh9gDP([ehT0Px3KOsy9(rEG9CsSWKasG) for rEG9CsSWKasG in mw77MbafwBz8])
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/player_utils.py
|
setup_and_load_epoch
|
def setup_and_load_epoch(hparams, data_dir, which_epoch_data=None):
"""Load T2TGymEnv with data from one epoch.
Args:
hparams: hparams.
data_dir: data directory.
which_epoch_data: data from which epoch to load.
Returns:
env.
"""
t2t_env = rl_utils.setup_env(
hparams, batch_size=hparams.real_batch_size,
max_num_noops=hparams.max_num_noops
)
# Load data.
if which_epoch_data is not None:
if which_epoch_data == "last":
which_epoch_data = infer_last_epoch_num(data_dir)
assert isinstance(which_epoch_data, int), \
"{}".format(type(which_epoch_data))
t2t_env.start_new_epoch(which_epoch_data, data_dir)
else:
t2t_env.start_new_epoch(-999)
return t2t_env
|
python
|
def setup_and_load_epoch(hparams, data_dir, which_epoch_data=None):
"""Load T2TGymEnv with data from one epoch.
Args:
hparams: hparams.
data_dir: data directory.
which_epoch_data: data from which epoch to load.
Returns:
env.
"""
t2t_env = rl_utils.setup_env(
hparams, batch_size=hparams.real_batch_size,
max_num_noops=hparams.max_num_noops
)
# Load data.
if which_epoch_data is not None:
if which_epoch_data == "last":
which_epoch_data = infer_last_epoch_num(data_dir)
assert isinstance(which_epoch_data, int), \
"{}".format(type(which_epoch_data))
t2t_env.start_new_epoch(which_epoch_data, data_dir)
else:
t2t_env.start_new_epoch(-999)
return t2t_env
|
[
"def",
"setup_and_load_epoch",
"(",
"hparams",
",",
"data_dir",
",",
"which_epoch_data",
"=",
"None",
")",
":",
"t2t_env",
"=",
"rl_utils",
".",
"setup_env",
"(",
"hparams",
",",
"batch_size",
"=",
"hparams",
".",
"real_batch_size",
",",
"max_num_noops",
"=",
"hparams",
".",
"max_num_noops",
")",
"# Load data.",
"if",
"which_epoch_data",
"is",
"not",
"None",
":",
"if",
"which_epoch_data",
"==",
"\"last\"",
":",
"which_epoch_data",
"=",
"infer_last_epoch_num",
"(",
"data_dir",
")",
"assert",
"isinstance",
"(",
"which_epoch_data",
",",
"int",
")",
",",
"\"{}\"",
".",
"format",
"(",
"type",
"(",
"which_epoch_data",
")",
")",
"t2t_env",
".",
"start_new_epoch",
"(",
"which_epoch_data",
",",
"data_dir",
")",
"else",
":",
"t2t_env",
".",
"start_new_epoch",
"(",
"-",
"999",
")",
"return",
"t2t_env"
] |
Load T2TGymEnv with data from one epoch.
Args:
hparams: hparams.
data_dir: data directory.
which_epoch_data: data from which epoch to load.
Returns:
env.
|
[
"Load",
"T2TGymEnv",
"with",
"data",
"from",
"one",
"epoch",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/player_utils.py#L132-L156
|
train
|
Setup T2TGymEnv with data from one epoch.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b10010 + 0o37) + chr(54) + chr(0b100001 + 0o21), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\064' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1152 - 1104) + chr(3319 - 3208) + '\065' + chr(0b11100 + 0o27), 0b1000), ehT0Px3KOsy9(chr(867 - 819) + chr(0b1101111) + chr(0b110001) + chr(658 - 609) + chr(783 - 728), 0o10), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + '\x32' + chr(0b110011) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b110111) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11100 + 0o27) + '\065' + chr(0b1001 + 0o50), 41240 - 41232), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + chr(0b11010 + 0o35) + chr(54), 44616 - 44608), ehT0Px3KOsy9(chr(70 - 22) + chr(7376 - 7265) + chr(1097 - 1046) + '\x33' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\x36' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101) + chr(0b110111 + 0o0), 16545 - 16537), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(50) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + '\062' + '\065' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(0b110001) + chr(0b101111 + 0o5) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1 + 0o156) + '\062' + chr(0b110110) + chr(1595 - 1546), 38658 - 38650), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + chr(0b10 + 0o61) + '\065' + chr(52), 27633 - 27625), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b110001) + chr(0b1101 + 0o46), 31278 - 31270), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(1669 - 1617) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b110010) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3522 - 3411) + '\061' + chr(0b110101) + chr(0b100101 + 0o14), 0b1000), ehT0Px3KOsy9('\060' + chr(8678 - 8567) + chr(83 - 32) + chr(0b110000) + chr(0b11101 + 0o31), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\066' + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100010 + 0o17) + '\x32' + chr(0b1000 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(1218 - 1170) + '\x6f' + '\x31' + chr(0b110111) + chr(2009 - 1957), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + '\061' + chr(1930 - 1879) + '\060', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1010110 + 0o31) + '\x32' + '\x37' + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(55) + chr(0b110100), 8), ehT0Px3KOsy9(chr(1949 - 1901) + chr(0b100 + 0o153) + '\x33' + '\x37' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + chr(0b110010) + chr(2152 - 2102) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(1272 - 1221) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\065' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + '\x32' + '\x32' + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b110100) + '\062', 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + '\061' + chr(0b110000) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011000 + 0o27) + chr(53) + chr(0b10100 + 0o43), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11010 + 0o31) + chr(2195 - 2140) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1026 - 915) + chr(0b110011) + '\x36' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(8847 - 8736) + chr(49) + chr(0b110011) + '\065', 23186 - 23178), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(49) + chr(0b11111 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\x31' + '\065' + '\066', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1922 - 1874) + '\x6f' + chr(0b1010 + 0o53) + chr(0b1111 + 0o41), 17026 - 17018)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\\'), chr(0b1011100 + 0o10) + '\145' + '\143' + chr(10383 - 10272) + chr(0b1011000 + 0o14) + '\145')('\x75' + chr(1086 - 970) + chr(4233 - 4131) + chr(0b101101 + 0o0) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def urxk4hel0HM0(n4ljua2gi1Pr, kVFRD544hi_1, vTpLRPIVFeMK=None):
sXYhD3XgeNm2 = dS9nMkNNnOq2.setup_env(n4ljua2gi1Pr, batch_size=n4ljua2gi1Pr.real_batch_size, max_num_noops=n4ljua2gi1Pr.PNkPtpEftL3Z)
if vTpLRPIVFeMK is not None:
if vTpLRPIVFeMK == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xc0X;'), chr(100) + '\145' + chr(4990 - 4891) + '\157' + chr(0b10111 + 0o115) + '\145')('\165' + chr(116) + chr(0b1100110) + '\055' + '\x38'):
vTpLRPIVFeMK = L8xGEMEJxCXl(kVFRD544hi_1)
assert PlSM16l2KDPD(vTpLRPIVFeMK, ehT0Px3KOsy9), xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\t\xdc'), chr(0b101101 + 0o67) + chr(0b1100101) + chr(0b0 + 0o143) + chr(111) + '\144' + '\x65')(chr(0b1110101) + chr(116) + chr(0b1011101 + 0o11) + chr(0b101101) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'$\x95Y \xd6\xde\xba\r\x89\xc0J>'), chr(0b1100100) + '\145' + chr(99) + chr(4713 - 4602) + chr(0b101101 + 0o67) + chr(101))(chr(0b1000000 + 0o65) + chr(116) + chr(0b1100110) + '\x2d' + '\070'))(wmQmyeWBmUpv(vTpLRPIVFeMK))
xafqLlk3kkUe(sXYhD3XgeNm2, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xd5J=\xea\xe0\x87[\xae\xefJ$\xc0\x06\xd9'), '\x64' + chr(101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b101111 + 0o66))(chr(0b1000001 + 0o64) + chr(116) + chr(0b1100110) + '\055' + '\x38'))(vTpLRPIVFeMK, kVFRD544hi_1)
else:
xafqLlk3kkUe(sXYhD3XgeNm2, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xd5J=\xea\xe0\x87[\xae\xefJ$\xc0\x06\xd9'), chr(0b1001011 + 0o31) + chr(496 - 395) + chr(0b11 + 0o140) + chr(0b1100110 + 0o11) + chr(6841 - 6741) + chr(5435 - 5334))('\165' + chr(116) + chr(7361 - 7259) + chr(0b101101) + chr(56)))(-ehT0Px3KOsy9(chr(1032 - 984) + '\157' + '\061' + chr(55) + chr(2234 - 2182) + chr(55), 22711 - 22703))
return sXYhD3XgeNm2
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/player_utils.py
|
infer_game_name_from_filenames
|
def infer_game_name_from_filenames(data_dir, snake_case=True):
"""Infer name from filenames."""
names = os.listdir(data_dir)
game_names = [re.findall(pattern=r"^Gym(.*)NoFrameskip", string=name)
for name in names]
assert game_names, "No data files found in {}".format(data_dir)
game_names = sum(game_names, [])
game_name = game_names[0]
assert all(game_name == other for other in game_names), \
"There are multiple different game names in {}".format(data_dir)
if snake_case:
game_name = camelcase_to_snakecase(game_name)
return game_name
|
python
|
def infer_game_name_from_filenames(data_dir, snake_case=True):
"""Infer name from filenames."""
names = os.listdir(data_dir)
game_names = [re.findall(pattern=r"^Gym(.*)NoFrameskip", string=name)
for name in names]
assert game_names, "No data files found in {}".format(data_dir)
game_names = sum(game_names, [])
game_name = game_names[0]
assert all(game_name == other for other in game_names), \
"There are multiple different game names in {}".format(data_dir)
if snake_case:
game_name = camelcase_to_snakecase(game_name)
return game_name
|
[
"def",
"infer_game_name_from_filenames",
"(",
"data_dir",
",",
"snake_case",
"=",
"True",
")",
":",
"names",
"=",
"os",
".",
"listdir",
"(",
"data_dir",
")",
"game_names",
"=",
"[",
"re",
".",
"findall",
"(",
"pattern",
"=",
"r\"^Gym(.*)NoFrameskip\"",
",",
"string",
"=",
"name",
")",
"for",
"name",
"in",
"names",
"]",
"assert",
"game_names",
",",
"\"No data files found in {}\"",
".",
"format",
"(",
"data_dir",
")",
"game_names",
"=",
"sum",
"(",
"game_names",
",",
"[",
"]",
")",
"game_name",
"=",
"game_names",
"[",
"0",
"]",
"assert",
"all",
"(",
"game_name",
"==",
"other",
"for",
"other",
"in",
"game_names",
")",
",",
"\"There are multiple different game names in {}\"",
".",
"format",
"(",
"data_dir",
")",
"if",
"snake_case",
":",
"game_name",
"=",
"camelcase_to_snakecase",
"(",
"game_name",
")",
"return",
"game_name"
] |
Infer name from filenames.
|
[
"Infer",
"name",
"from",
"filenames",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/player_utils.py#L159-L171
|
train
|
Infer name from filenames.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(752 - 703) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(1747 - 1699) + chr(111) + chr(614 - 565), 46654 - 46646), ehT0Px3KOsy9(chr(644 - 596) + chr(111) + '\062' + '\x30' + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101100 + 0o3) + '\x37' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51 - 1) + chr(0b110001 + 0o6) + chr(1508 - 1460), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(128 - 79) + chr(463 - 415) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(55) + chr(2052 - 1998), 0o10), ehT0Px3KOsy9('\060' + chr(7228 - 7117) + '\063' + chr(0b110010 + 0o4) + chr(2659 - 2604), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(815 - 761) + chr(0b110010 + 0o5), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1236 - 1185) + chr(53) + chr(0b110011), 23533 - 23525), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2101 - 2051) + chr(1387 - 1334), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11010 + 0o30) + chr(55) + chr(0b11 + 0o55), 8), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(0b10010 + 0o37) + chr(2511 - 2456) + '\066', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(54) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110001 + 0o76) + chr(0b10110 + 0o41) + chr(0b110001), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100100 + 0o15) + chr(0b110010) + chr(2505 - 2454), 51445 - 51437), ehT0Px3KOsy9(chr(728 - 680) + chr(0b10110 + 0o131) + chr(1454 - 1405) + chr(0b1110 + 0o43) + chr(2584 - 2530), 4097 - 4089), ehT0Px3KOsy9(chr(48) + chr(10805 - 10694) + chr(1417 - 1366) + '\x31' + chr(134 - 85), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b110001) + chr(0b101100 + 0o4), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + chr(0b100011 + 0o16) + chr(0b11100 + 0o25) + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(48) + '\x37', 18771 - 18763), ehT0Px3KOsy9(chr(761 - 713) + chr(0b100 + 0o153) + chr(0b110001) + chr(50) + chr(51), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110000) + chr(0b10001 + 0o42), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1476 - 1426) + chr(50) + chr(0b110001), 5025 - 5017), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1011100 + 0o23) + chr(0b11101 + 0o24) + '\066' + chr(0b11 + 0o64), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1579 - 1528) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + '\x33' + '\x32' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\067' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\067' + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b101000 + 0o16) + chr(0b11000 + 0o35), 31881 - 31873), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\061' + chr(0b11100 + 0o27) + chr(0b1100 + 0o51), 0b1000), ehT0Px3KOsy9(chr(654 - 606) + chr(111) + chr(50) + chr(49) + chr(0b110001), 62567 - 62559), ehT0Px3KOsy9('\060' + '\x6f' + chr(890 - 840) + '\x36' + chr(1854 - 1806), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(2149 - 2038) + chr(338 - 289) + chr(612 - 563) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110000 + 0o77) + chr(2442 - 2392) + '\x34' + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(1338 - 1227) + chr(51) + chr(1350 - 1301), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + chr(0b110101) + '\x35', 42382 - 42374), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(603 - 554) + '\x32' + chr(1758 - 1704), 17391 - 17383), ehT0Px3KOsy9('\060' + '\157' + chr(437 - 387) + chr(0b100111 + 0o17), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(7613 - 7513) + '\145')(chr(0b1110101) + '\x74' + '\146' + chr(1927 - 1882) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def soPFFPC9GoU7(kVFRD544hi_1, WM6ABBrgfvKo=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 8)):
OcnR1hZ7pGdr = oqhJDdMJfuwx.listdir(kVFRD544hi_1)
dSD4za1BESdr = [_7u55U49WwX2.findall(pattern=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0F\xfaT\x90hT\xde\xf9\x84S\xca\x1f\x9d\\ %\xa0\xf8'), chr(100) + '\145' + chr(0b1000011 + 0o40) + '\x6f' + chr(0b1100100) + '\145')(chr(0b1010000 + 0o45) + chr(0b1010010 + 0o42) + chr(1316 - 1214) + chr(0b101101) + chr(0b111000)), string=AIvJRzLdDfgF) for AIvJRzLdDfgF in OcnR1hZ7pGdr]
assert dSD4za1BESdr, xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0n\xa3]\xd92\x1f\xd7\xd1\x82y\xdd\r\xd0_<;\xa7\xecn.=c\xea\n'), chr(0b1100100) + chr(101) + '\143' + chr(111) + chr(100) + '\145')(chr(0b1110101) + '\x74' + chr(0b111111 + 0o47) + chr(1575 - 1530) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b"\xd85\xf1V\xf0'-\xc4\xe7\x9bp\xd2"), '\x64' + '\145' + chr(9047 - 8948) + '\x6f' + '\144' + '\145')(chr(2056 - 1939) + chr(0b100011 + 0o121) + '\x66' + chr(0b11010 + 0o23) + chr(0b11100 + 0o34)))(kVFRD544hi_1)
dSD4za1BESdr = xkxBmo49x2An(dSD4za1BESdr, [])
dVBVFHyXD86Q = dSD4za1BESdr[ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(1348 - 1300), 8)]
assert Dl48nj1rbi23((dVBVFHyXD86Q == KK0ERS7DqYrY for KK0ERS7DqYrY in dSD4za1BESdr)), xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdai\xe6K\xddf\x1f\x85\xd2\xcbx\xcd\x12\x84P#"\xac\xa8*.5%\xf4\x05~\xb9\xca\x1f\x12<\xe4\xd5j\xcdxmH%6\xe7o\xa3B\xc5'), '\x64' + '\x65' + chr(0b1100011) + '\157' + '\x64' + chr(9132 - 9031))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b"\xd85\xf1V\xf0'-\xc4\xe7\x9bp\xd2"), chr(100) + chr(5821 - 5720) + chr(0b1100011) + chr(111) + '\144' + chr(0b100000 + 0o105))(chr(117) + chr(116) + '\146' + chr(0b10010 + 0o33) + '\x38'))(kVFRD544hi_1)
if WM6ABBrgfvKo:
dVBVFHyXD86Q = w0h8zJUB3OYM(dVBVFHyXD86Q)
return dVBVFHyXD86Q
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/player_utils.py
|
wrap_with_monitor
|
def wrap_with_monitor(env, video_dir):
"""Wrap environment with gym.Monitor.
Video recording provided by Monitor requires
1) both height and width of observation to be even numbers.
2) rendering of environment
Args:
env: environment.
video_dir: video directory.
Returns:
wrapped environment.
"""
env = ExtendToEvenDimentions(env)
env = RenderObservations(env) # pylint: disable=redefined-variable-type
env = gym.wrappers.Monitor(env, video_dir, force=True,
video_callable=lambda idx: True,
write_upon_reset=True)
return env
|
python
|
def wrap_with_monitor(env, video_dir):
"""Wrap environment with gym.Monitor.
Video recording provided by Monitor requires
1) both height and width of observation to be even numbers.
2) rendering of environment
Args:
env: environment.
video_dir: video directory.
Returns:
wrapped environment.
"""
env = ExtendToEvenDimentions(env)
env = RenderObservations(env) # pylint: disable=redefined-variable-type
env = gym.wrappers.Monitor(env, video_dir, force=True,
video_callable=lambda idx: True,
write_upon_reset=True)
return env
|
[
"def",
"wrap_with_monitor",
"(",
"env",
",",
"video_dir",
")",
":",
"env",
"=",
"ExtendToEvenDimentions",
"(",
"env",
")",
"env",
"=",
"RenderObservations",
"(",
"env",
")",
"# pylint: disable=redefined-variable-type",
"env",
"=",
"gym",
".",
"wrappers",
".",
"Monitor",
"(",
"env",
",",
"video_dir",
",",
"force",
"=",
"True",
",",
"video_callable",
"=",
"lambda",
"idx",
":",
"True",
",",
"write_upon_reset",
"=",
"True",
")",
"return",
"env"
] |
Wrap environment with gym.Monitor.
Video recording provided by Monitor requires
1) both height and width of observation to be even numbers.
2) rendering of environment
Args:
env: environment.
video_dir: video directory.
Returns:
wrapped environment.
|
[
"Wrap",
"environment",
"with",
"gym",
".",
"Monitor",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/player_utils.py#L245-L264
|
train
|
Wrap environment with gym. Monitor.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\063' + chr(0b1110 + 0o42), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b110100) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\066' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(1254 - 1202) + chr(0b10011 + 0o37), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(487 - 436) + chr(0b100111 + 0o14) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1079 - 1029) + '\x31' + '\x30', 16798 - 16790), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(3695 - 3584) + '\x31' + chr(53) + chr(0b101011 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(9504 - 9393) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(5032 - 4921) + chr(0b110100) + '\x34', 1838 - 1830), ehT0Px3KOsy9('\x30' + chr(7041 - 6930) + chr(0b1100 + 0o47) + chr(0b110000) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1696 - 1648) + '\157' + '\x32' + chr(0b110011) + chr(0b1110 + 0o46), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(2143 - 2088) + chr(296 - 245), 0b1000), ehT0Px3KOsy9(chr(2121 - 2073) + chr(0b1101111 + 0o0) + chr(0b110010) + chr(0b10101 + 0o37) + '\065', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1000011 + 0o54) + '\062' + '\x33' + chr(0b100100 + 0o14), 16295 - 16287), ehT0Px3KOsy9(chr(1169 - 1121) + chr(111) + chr(0b110001) + chr(638 - 590) + '\x32', 0b1000), ehT0Px3KOsy9(chr(2007 - 1959) + chr(12053 - 11942) + chr(716 - 666) + chr(48) + chr(122 - 69), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\067' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(1506 - 1451) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2400 - 2351) + chr(51) + chr(0b110011), 30077 - 30069), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1582 - 1533) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + chr(0b110010) + chr(0b110111) + '\x32', 0b1000), ehT0Px3KOsy9(chr(2085 - 2037) + chr(0b1101111) + '\x32' + '\x37' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + '\x32' + chr(0b110001) + chr(0b10010 + 0o44), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1901 - 1850) + chr(2455 - 2402) + chr(1235 - 1186), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(2319 - 2268) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(171 - 121) + chr(51) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + chr(50) + '\x35' + chr(628 - 580), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b11000 + 0o36) + '\063', 39163 - 39155), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(4009 - 3898) + chr(0b110001) + '\064' + chr(2746 - 2691), 63158 - 63150), ehT0Px3KOsy9(chr(605 - 557) + chr(4907 - 4796) + '\x35' + chr(1050 - 999), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2240 - 2191) + chr(2086 - 2032) + chr(1978 - 1928), 25895 - 25887), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\063' + chr(223 - 173), 8), ehT0Px3KOsy9('\x30' + chr(0b100010 + 0o115) + '\x33' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\x33' + chr(0b110001) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b1000 + 0o50) + chr(0b1111 + 0o42), 0o10), ehT0Px3KOsy9(chr(194 - 146) + chr(111) + chr(1500 - 1445) + chr(0b11110 + 0o25), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\064' + chr(0b101101 + 0o7), 56655 - 56647), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11111 + 0o120) + chr(1786 - 1737) + chr(0b110101 + 0o0) + chr(0b110010), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b110101) + chr(0b100000 + 0o20), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'v'), chr(0b1100100) + chr(3342 - 3241) + chr(3002 - 2903) + chr(9713 - 9602) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + '\146' + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RX8OVUNvbAne(xzsHIGfR8Ip5, m4zL8gGVOMxQ):
xzsHIGfR8Ip5 = IdIr3vvC03Oq(xzsHIGfR8Ip5)
xzsHIGfR8Ip5 = Mi6dSw5WmgEY(xzsHIGfR8Ip5)
xzsHIGfR8Ip5 = mZyhk1NGHEBF.wrappers.Monitor(xzsHIGfR8Ip5, m4zL8gGVOMxQ, force=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(676 - 627), 0o10), video_callable=lambda YlqusYB6InkM: ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1873 - 1824), 8), write_upon_reset=ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(12311 - 12200) + chr(0b10001 + 0o40), 8))
return xzsHIGfR8Ip5
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/player_utils.py
|
create_simulated_env
|
def create_simulated_env(
output_dir, grayscale, resize_width_factor, resize_height_factor,
frame_stack_size, generative_model, generative_model_params,
random_starts=True, which_epoch_data="last", **other_hparams
):
""""Create SimulatedEnv with minimal subset of hparams."""
# We need these, to initialize T2TGymEnv, but these values (hopefully) have
# no effect on player.
a_bit_risky_defaults = {
"game": "pong", # assumes that T2TGymEnv has always reward_range (-1,1)
"real_batch_size": 1,
"rl_env_max_episode_steps": -1,
"max_num_noops": 0
}
for key in a_bit_risky_defaults:
if key not in other_hparams:
other_hparams[key] = a_bit_risky_defaults[key]
hparams = hparam.HParams(
grayscale=grayscale,
resize_width_factor=resize_width_factor,
resize_height_factor=resize_height_factor,
frame_stack_size=frame_stack_size,
generative_model=generative_model,
generative_model_params=generative_model_params,
**other_hparams
)
return load_data_and_make_simulated_env(
output_dir, wm_dir=None, hparams=hparams,
which_epoch_data=which_epoch_data,
random_starts=random_starts)
|
python
|
def create_simulated_env(
output_dir, grayscale, resize_width_factor, resize_height_factor,
frame_stack_size, generative_model, generative_model_params,
random_starts=True, which_epoch_data="last", **other_hparams
):
""""Create SimulatedEnv with minimal subset of hparams."""
# We need these, to initialize T2TGymEnv, but these values (hopefully) have
# no effect on player.
a_bit_risky_defaults = {
"game": "pong", # assumes that T2TGymEnv has always reward_range (-1,1)
"real_batch_size": 1,
"rl_env_max_episode_steps": -1,
"max_num_noops": 0
}
for key in a_bit_risky_defaults:
if key not in other_hparams:
other_hparams[key] = a_bit_risky_defaults[key]
hparams = hparam.HParams(
grayscale=grayscale,
resize_width_factor=resize_width_factor,
resize_height_factor=resize_height_factor,
frame_stack_size=frame_stack_size,
generative_model=generative_model,
generative_model_params=generative_model_params,
**other_hparams
)
return load_data_and_make_simulated_env(
output_dir, wm_dir=None, hparams=hparams,
which_epoch_data=which_epoch_data,
random_starts=random_starts)
|
[
"def",
"create_simulated_env",
"(",
"output_dir",
",",
"grayscale",
",",
"resize_width_factor",
",",
"resize_height_factor",
",",
"frame_stack_size",
",",
"generative_model",
",",
"generative_model_params",
",",
"random_starts",
"=",
"True",
",",
"which_epoch_data",
"=",
"\"last\"",
",",
"*",
"*",
"other_hparams",
")",
":",
"# We need these, to initialize T2TGymEnv, but these values (hopefully) have",
"# no effect on player.",
"a_bit_risky_defaults",
"=",
"{",
"\"game\"",
":",
"\"pong\"",
",",
"# assumes that T2TGymEnv has always reward_range (-1,1)",
"\"real_batch_size\"",
":",
"1",
",",
"\"rl_env_max_episode_steps\"",
":",
"-",
"1",
",",
"\"max_num_noops\"",
":",
"0",
"}",
"for",
"key",
"in",
"a_bit_risky_defaults",
":",
"if",
"key",
"not",
"in",
"other_hparams",
":",
"other_hparams",
"[",
"key",
"]",
"=",
"a_bit_risky_defaults",
"[",
"key",
"]",
"hparams",
"=",
"hparam",
".",
"HParams",
"(",
"grayscale",
"=",
"grayscale",
",",
"resize_width_factor",
"=",
"resize_width_factor",
",",
"resize_height_factor",
"=",
"resize_height_factor",
",",
"frame_stack_size",
"=",
"frame_stack_size",
",",
"generative_model",
"=",
"generative_model",
",",
"generative_model_params",
"=",
"generative_model_params",
",",
"*",
"*",
"other_hparams",
")",
"return",
"load_data_and_make_simulated_env",
"(",
"output_dir",
",",
"wm_dir",
"=",
"None",
",",
"hparams",
"=",
"hparams",
",",
"which_epoch_data",
"=",
"which_epoch_data",
",",
"random_starts",
"=",
"random_starts",
")"
] |
Create SimulatedEnv with minimal subset of hparams.
|
[
"Create",
"SimulatedEnv",
"with",
"minimal",
"subset",
"of",
"hparams",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/player_utils.py#L267-L298
|
train
|
Create SimulatedEnv with minimal subset of hparams.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\x30' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(383 - 333) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + chr(0b110011) + chr(0b110011) + chr(2367 - 2313), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1001 + 0o146) + chr(51) + chr(52) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\x37' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + '\x32' + chr(0b11010 + 0o30) + chr(623 - 569), 0b1000), ehT0Px3KOsy9(chr(48) + chr(11363 - 11252) + '\x32' + '\x31' + chr(0b110110 + 0o1), 31493 - 31485), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + '\x32' + '\064' + chr(1904 - 1853), 35609 - 35601), ehT0Px3KOsy9(chr(48) + chr(1416 - 1305) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(1531 - 1478) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8136 - 8025) + '\x31' + chr(1634 - 1582) + '\x31', 43458 - 43450), ehT0Px3KOsy9(chr(2234 - 2186) + '\157' + chr(0b110010) + chr(48) + chr(0b11100 + 0o26), 22830 - 22822), ehT0Px3KOsy9(chr(0b110000) + chr(2868 - 2757) + chr(0b110001) + '\x35', 51291 - 51283), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b110011) + chr(0b101111 + 0o2) + chr(51), 17608 - 17600), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2685 - 2574) + '\062' + '\064' + chr(0b110000 + 0o5), 50618 - 50610), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110000) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010010 + 0o35) + chr(51) + chr(0b110111) + chr(0b11001 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + '\x33' + '\063' + chr(524 - 476), 52704 - 52696), ehT0Px3KOsy9(chr(0b110000) + chr(4994 - 4883) + chr(0b110011) + chr(1243 - 1191) + chr(1074 - 1021), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(2251 - 2202) + chr(0b1001 + 0o51) + '\x33', 36178 - 36170), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(2379 - 2329) + chr(1226 - 1172) + chr(2239 - 2190), 19843 - 19835), ehT0Px3KOsy9(chr(1375 - 1327) + chr(111) + chr(50) + chr(1438 - 1388) + chr(54), 8), ehT0Px3KOsy9(chr(115 - 67) + chr(0b1101111) + '\x34' + chr(50), 18300 - 18292), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + '\062' + chr(53) + chr(921 - 867), 30830 - 30822), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\x32' + chr(1764 - 1713) + chr(52), 8335 - 8327), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(660 - 605) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + chr(0b10011 + 0o37) + '\062' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1281 - 1233) + chr(111) + chr(0b110011) + chr(0b110011) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(2134 - 2086) + chr(2173 - 2122), 0o10), ehT0Px3KOsy9(chr(1195 - 1147) + chr(0b11111 + 0o120) + chr(0b110010 + 0o0) + '\x37' + chr(52), 0b1000), ehT0Px3KOsy9(chr(1885 - 1837) + chr(0b111000 + 0o67) + chr(49) + chr(0b110101) + chr(0b110001), 17606 - 17598), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(54) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11100 + 0o30), 25805 - 25797), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x35' + chr(0b101001 + 0o12), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(2361 - 2312) + chr(50) + chr(0b100 + 0o61), 10777 - 10769), ehT0Px3KOsy9(chr(1967 - 1919) + chr(1489 - 1378) + '\x33' + '\x31' + '\x35', 40981 - 40973), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2015 - 1965) + chr(50) + chr(0b100101 + 0o21), 8), ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + chr(53) + '\x35', 5375 - 5367), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(556 - 503) + '\x31', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(53) + chr(0b10001 + 0o37), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xad'), chr(6233 - 6133) + '\x65' + '\x63' + chr(111) + chr(0b1100100) + '\x65')(chr(117) + '\164' + '\146' + chr(1783 - 1738) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def LY8UfuNDYBOd(nd0OX_BS6_o4, iVrnJKHOeGmG, VhuiRt_czun8, HR4yzxLpriG7, YYpMgs8WK8M7, uVIiffPeN7yA, YBEkVLgqMiCU, DiuIoZfvGYNM=ehT0Px3KOsy9(chr(48) + chr(9028 - 8917) + '\061', 0o10), vTpLRPIVFeMK=xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xb3\xad\x94'), '\144' + chr(101) + chr(0b1001101 + 0o26) + chr(0b1101111) + chr(100) + chr(7774 - 7673))(chr(0b1110101) + '\164' + '\146' + '\055' + chr(56)), **GmAgwsy4LXEf):
zdqx68qRTilj = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xb3\xb3\x85'), '\x64' + chr(101) + '\143' + chr(0b1011011 + 0o24) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(1615 - 1499) + '\x66' + chr(45) + chr(2866 - 2810)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xbd\xb0\x87'), chr(0b11010 + 0o112) + '\145' + chr(0b1100011) + '\x6f' + chr(100) + '\x65')(chr(0b1110101) + '\x74' + chr(0b1101 + 0o131) + chr(45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\xb7\xbf\x8c#\xf4\xee\xd7e\x02>\xf1d\xb1k'), chr(0b1010101 + 0o17) + '\x65' + chr(99) + '\157' + chr(100) + chr(101))('\x75' + chr(0b1110100) + chr(102) + '\055' + chr(0b11000 + 0o40)): ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10111 + 0o32), 8), xafqLlk3kkUe(SXOLrMavuUCe(b"\xf1\xbe\x81\x85\x12\xe0\xd0\xceg\x12>\xe7}\xa2}\xca\xa1\x9d\x87\x96'\xd4\xe6Q"), '\x64' + '\145' + '\x63' + '\157' + '\144' + chr(1359 - 1258))(chr(0b11111 + 0o126) + chr(9631 - 9515) + '\146' + chr(0b10000 + 0o35) + chr(0b111000)): -ehT0Px3KOsy9('\060' + chr(0b0 + 0o157) + chr(49), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xb3\xa6\xbf\x12\xe3\xe2\xfch\x05\x0e\xf2~'), chr(3036 - 2936) + chr(2201 - 2100) + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + chr(0b1100110) + '\055' + chr(56)): ehT0Px3KOsy9(chr(0b110000) + chr(1573 - 1462) + '\x30', ord("\x08"))}
for K3J4ZwSlE0sT in zdqx68qRTilj:
if K3J4ZwSlE0sT not in GmAgwsy4LXEf:
GmAgwsy4LXEf[K3J4ZwSlE0sT] = zdqx68qRTilj[K3J4ZwSlE0sT]
n4ljua2gi1Pr = guRGmljwUVnc.HParams(grayscale=iVrnJKHOeGmG, resize_width_factor=VhuiRt_czun8, resize_height_factor=HR4yzxLpriG7, frame_stack_size=YYpMgs8WK8M7, generative_model=uVIiffPeN7yA, generative_model_params=YBEkVLgqMiCU, **GmAgwsy4LXEf)
return na9UUwCwmnld(nd0OX_BS6_o4, wm_dir=None, hparams=n4ljua2gi1Pr, which_epoch_data=vTpLRPIVFeMK, random_starts=DiuIoZfvGYNM)
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/player_utils.py
|
infer_paths
|
def infer_paths(output_dir, **subdirs):
"""Infers standard paths to policy and model directories.
Example:
>>> infer_paths("/some/output/dir/", policy="", model="custom/path")
{"policy": "/some/output/dir/policy", "model": "custom/path",
"output_dir":"/some/output/dir/"}
Args:
output_dir: output directory.
**subdirs: sub-directories.
Returns:
a dictionary with the directories.
"""
directories = {}
for name, path in six.iteritems(subdirs):
directories[name] = path if path else os.path.join(output_dir, name)
directories["output_dir"] = output_dir
return directories
|
python
|
def infer_paths(output_dir, **subdirs):
"""Infers standard paths to policy and model directories.
Example:
>>> infer_paths("/some/output/dir/", policy="", model="custom/path")
{"policy": "/some/output/dir/policy", "model": "custom/path",
"output_dir":"/some/output/dir/"}
Args:
output_dir: output directory.
**subdirs: sub-directories.
Returns:
a dictionary with the directories.
"""
directories = {}
for name, path in six.iteritems(subdirs):
directories[name] = path if path else os.path.join(output_dir, name)
directories["output_dir"] = output_dir
return directories
|
[
"def",
"infer_paths",
"(",
"output_dir",
",",
"*",
"*",
"subdirs",
")",
":",
"directories",
"=",
"{",
"}",
"for",
"name",
",",
"path",
"in",
"six",
".",
"iteritems",
"(",
"subdirs",
")",
":",
"directories",
"[",
"name",
"]",
"=",
"path",
"if",
"path",
"else",
"os",
".",
"path",
".",
"join",
"(",
"output_dir",
",",
"name",
")",
"directories",
"[",
"\"output_dir\"",
"]",
"=",
"output_dir",
"return",
"directories"
] |
Infers standard paths to policy and model directories.
Example:
>>> infer_paths("/some/output/dir/", policy="", model="custom/path")
{"policy": "/some/output/dir/policy", "model": "custom/path",
"output_dir":"/some/output/dir/"}
Args:
output_dir: output directory.
**subdirs: sub-directories.
Returns:
a dictionary with the directories.
|
[
"Infers",
"standard",
"paths",
"to",
"policy",
"and",
"model",
"directories",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/player_utils.py#L377-L396
|
train
|
Infers standard paths to policy and model directories.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b11001 + 0o32) + chr(52) + '\x31', 0b1000), ehT0Px3KOsy9(chr(337 - 289) + '\157' + '\063' + chr(52) + '\x37', 3321 - 3313), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + '\x32' + chr(0b110010) + chr(1942 - 1891), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(53) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + '\062' + chr(0b110101 + 0o1) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(54) + chr(2291 - 2241), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101101 + 0o6) + chr(2030 - 1977) + chr(1258 - 1206), 0b1000), ehT0Px3KOsy9('\x30' + chr(5130 - 5019) + '\061' + chr(0b110101) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(50) + chr(51), 61591 - 61583), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\x36' + chr(0b10111 + 0o35), 60082 - 60074), ehT0Px3KOsy9(chr(1756 - 1708) + chr(3881 - 3770) + '\x31' + chr(54) + chr(52), 49384 - 49376), ehT0Px3KOsy9('\x30' + chr(111) + chr(984 - 933) + '\063' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b101111 + 0o10) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110111 + 0o70) + '\063' + chr(0b101101 + 0o6), 59979 - 59971), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101101 + 0o5) + chr(0b110010) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + '\x32' + '\067' + '\063', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110100 + 0o0) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10001 + 0o41) + chr(0b110101) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1975 - 1927) + chr(0b1101111) + chr(0b110011) + chr(52) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(1953 - 1902) + chr(52) + chr(916 - 868), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1111 + 0o140) + chr(146 - 96) + chr(0b101001 + 0o14) + '\x30', 8), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b100101 + 0o17) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b101011 + 0o104) + chr(1696 - 1646) + '\x36' + '\x34', 8), ehT0Px3KOsy9(chr(1386 - 1338) + chr(111) + '\063' + '\x36' + chr(55), 0b1000), ehT0Px3KOsy9(chr(1066 - 1018) + chr(0b101111 + 0o100) + chr(745 - 696) + '\x37' + '\x31', 0o10), ehT0Px3KOsy9(chr(2014 - 1966) + chr(0b1000011 + 0o54) + '\061' + chr(0b110000 + 0o7) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10101 + 0o36) + chr(0b110110) + '\x37', 8), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + '\x36' + '\x31', 0o10), ehT0Px3KOsy9(chr(1695 - 1647) + chr(0b1101111) + chr(0b110011) + '\060' + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(52) + chr(49), 8), ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + chr(0b1011 + 0o50) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(0b1001011 + 0o44) + '\x31' + chr(0b100110 + 0o12) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1379 - 1331) + '\157' + chr(0b110010) + chr(53) + '\063', 59114 - 59106), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b110000 + 0o0) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(49) + chr(0b110000) + chr(468 - 416), 29954 - 29946), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(50) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(429 - 318) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(2030 - 1982) + chr(111) + chr(213 - 163) + '\x36' + '\067', 25820 - 25812), ehT0Px3KOsy9(chr(950 - 902) + chr(0b1011100 + 0o23) + chr(50) + chr(374 - 325) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(519 - 469) + chr(0b110100) + chr(49), 46394 - 46386)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(992 - 944) + '\157' + chr(0b110101) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf'), chr(0b1100100) + chr(101) + chr(2490 - 2391) + '\x6f' + chr(5073 - 4973) + chr(101))('\x75' + '\164' + '\146' + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def huNPZzTeIAz7(nd0OX_BS6_o4, **Vvyk8EF5LzTX):
uLwOoj3v0w_9 = {}
for (AIvJRzLdDfgF, EaCjyhZptSer) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\x93\xf6\x1b\xd8\x06\x89\x02 '), chr(7057 - 6957) + chr(0b0 + 0o145) + chr(0b101011 + 0o70) + chr(3650 - 3539) + '\x64' + chr(0b1011001 + 0o14))(chr(0b1110010 + 0o3) + chr(0b1110100) + chr(0b1100011 + 0o3) + chr(0b101101) + '\070'))(Vvyk8EF5LzTX):
uLwOoj3v0w_9[AIvJRzLdDfgF] = EaCjyhZptSer if EaCjyhZptSer else oqhJDdMJfuwx.path.join(nd0OX_BS6_o4, AIvJRzLdDfgF)
uLwOoj3v0w_9[xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x92\xe7\x19\xc4\x06\xb3\x0b:\xc6'), chr(1492 - 1392) + chr(0b1100 + 0o131) + chr(0b1100011) + '\x6f' + chr(0b0 + 0o144) + '\x65')(chr(411 - 294) + chr(116) + chr(0b1010011 + 0o23) + chr(1248 - 1203) + chr(2228 - 2172))] = nd0OX_BS6_o4
return uLwOoj3v0w_9
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/player_utils.py
|
SimulatedGymEnv.add_to_initial_stack
|
def add_to_initial_stack(self, frame):
"""Adds new frame to (initial) frame stack, removes last one."""
if not self._setable_initial_frames:
raise ValueError(
"This instance does not allow to manually set initial frame stack.")
assert_msg = "{}, {}".format(frame.shape, self._initial_frames.shape[:1])
assert frame.shape == self._initial_frames.shape[2:], assert_msg
initial_frames = np.roll(self._initial_frames, shift=-1, axis=1)
initial_frames[0, -1, ...] = frame
self._initial_frames = initial_frames
|
python
|
def add_to_initial_stack(self, frame):
"""Adds new frame to (initial) frame stack, removes last one."""
if not self._setable_initial_frames:
raise ValueError(
"This instance does not allow to manually set initial frame stack.")
assert_msg = "{}, {}".format(frame.shape, self._initial_frames.shape[:1])
assert frame.shape == self._initial_frames.shape[2:], assert_msg
initial_frames = np.roll(self._initial_frames, shift=-1, axis=1)
initial_frames[0, -1, ...] = frame
self._initial_frames = initial_frames
|
[
"def",
"add_to_initial_stack",
"(",
"self",
",",
"frame",
")",
":",
"if",
"not",
"self",
".",
"_setable_initial_frames",
":",
"raise",
"ValueError",
"(",
"\"This instance does not allow to manually set initial frame stack.\"",
")",
"assert_msg",
"=",
"\"{}, {}\"",
".",
"format",
"(",
"frame",
".",
"shape",
",",
"self",
".",
"_initial_frames",
".",
"shape",
"[",
":",
"1",
"]",
")",
"assert",
"frame",
".",
"shape",
"==",
"self",
".",
"_initial_frames",
".",
"shape",
"[",
"2",
":",
"]",
",",
"assert_msg",
"initial_frames",
"=",
"np",
".",
"roll",
"(",
"self",
".",
"_initial_frames",
",",
"shift",
"=",
"-",
"1",
",",
"axis",
"=",
"1",
")",
"initial_frames",
"[",
"0",
",",
"-",
"1",
",",
"...",
"]",
"=",
"frame",
"self",
".",
"_initial_frames",
"=",
"initial_frames"
] |
Adds new frame to (initial) frame stack, removes last one.
|
[
"Adds",
"new",
"frame",
"to",
"(",
"initial",
")",
"frame",
"stack",
"removes",
"last",
"one",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/player_utils.py#L111-L120
|
train
|
Adds new frame to initial frame stack removes last one.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b101011 + 0o7) + chr(703 - 649) + '\061', 45883 - 45875), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110100) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(2242 - 2191), 28457 - 28449), ehT0Px3KOsy9(chr(705 - 657) + chr(111) + chr(2442 - 2391) + chr(55) + chr(0b110101 + 0o1), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(895 - 846) + '\x33' + chr(0b11001 + 0o34), 2201 - 2193), ehT0Px3KOsy9(chr(0b110000) + chr(6707 - 6596) + chr(2074 - 2023) + chr(0b110101) + chr(0b10100 + 0o36), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4025 - 3914) + '\066' + chr(0b10110 + 0o41), 0o10), ehT0Px3KOsy9(chr(246 - 198) + chr(0b11 + 0o154) + chr(49) + '\064' + '\067', 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + '\x31' + chr(152 - 101) + chr(227 - 172), 0o10), ehT0Px3KOsy9('\x30' + chr(0b10001 + 0o136) + chr(53) + '\x31', 6613 - 6605), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110111) + chr(0b110101 + 0o0), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + chr(0b110011) + chr(0b110010) + chr(1392 - 1344), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110011 + 0o74) + chr(49) + '\061' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(971 - 922) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2869 - 2758) + '\063' + '\x33' + chr(2173 - 2121), 45576 - 45568), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(329 - 281) + chr(0b1101111) + chr(1124 - 1075) + chr(53) + chr(0b1101 + 0o51), 0o10), ehT0Px3KOsy9(chr(2005 - 1957) + '\x6f' + chr(50) + chr(0b110000) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b110100) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8145 - 8034) + chr(50) + '\062' + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(54) + chr(1890 - 1836), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b11100 + 0o33) + chr(0b1111 + 0o46), 19962 - 19954), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(51) + chr(526 - 475) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(1961 - 1913) + chr(0b1101101 + 0o2) + chr(1349 - 1299) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\065' + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(55) + chr(0b101011 + 0o7), 7609 - 7601), ehT0Px3KOsy9(chr(48) + chr(9993 - 9882) + chr(1299 - 1250) + chr(49) + chr(743 - 688), 2375 - 2367), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\061' + chr(0b11010 + 0o34), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(2964 - 2909) + chr(1286 - 1238), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\x30' + chr(2301 - 2249), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\062' + '\066' + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(1996 - 1948) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1650 - 1539) + '\061' + chr(1813 - 1764) + chr(713 - 665), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + chr(837 - 786), 46502 - 46494), ehT0Px3KOsy9('\060' + chr(0b1011001 + 0o26) + chr(50) + '\x36' + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1867 - 1818) + chr(53) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(2565 - 2454) + chr(49) + chr(53) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b110110) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(55) + chr(0b110111), 445 - 437), ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + '\065' + '\x34', 7107 - 7099)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f'), '\x64' + '\x65' + '\x63' + chr(10844 - 10733) + '\x64' + chr(0b1100101))(chr(8387 - 8270) + '\x74' + chr(102) + '\x2d' + chr(0b110001 + 0o7)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RaeI3w7xrwL6(oVre8I6UXc3b, C4IqNNmLfHXB):
if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x17v\x8a<\x88[\x02\x00@\x13\xb98\xa2\xbdg1\xe5\xd0\xf1\x1b\xd8\xad'), chr(100) + chr(101) + '\x63' + '\157' + chr(0b100110 + 0o76) + chr(373 - 272))('\165' + chr(0b1110100) + chr(4876 - 4774) + chr(0b100110 + 0o7) + '\070')):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\x0cz\x8d}\x83Y\x14+H\x13\xb3)\xeb\xb8d\x0b\xf0\x82\xfe\x19\xc9\xfev\x05\xd6 \xf9\xd8\xf0\xdb\xe6%b\xdf\x1d\r\xde\x93U\x91\x17v\x8a}\x83Y\x0e+@\x1c\xbcl\xad\xaej\x03\xe6\x82\xe3\x02\xdc\xbd|G'), chr(0b1011101 + 0o7) + chr(101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(842 - 725) + chr(116) + chr(10226 - 10124) + chr(0b101101) + chr(0b111000)))
j2BDPOOnWIRW = xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\x19?\xde&\x97'), chr(100) + chr(9894 - 9793) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(101))('\165' + '\164' + '\x66' + '\x2d' + chr(0b111 + 0o61)).V4roHaS3Ppej(C4IqNNmLfHXB.nauYfLglTpcb, oVre8I6UXc3b._initial_frames.nauYfLglTpcb[:ehT0Px3KOsy9('\x30' + '\157' + '\061', ord("\x08"))])
assert xafqLlk3kkUe(C4IqNNmLfHXB, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\x05f\xa7;\xa6P\x0b\x0bY\x1e\xb2'), '\x64' + chr(101) + '\x63' + chr(10911 - 10800) + '\144' + '\x65')('\x75' + chr(0b111101 + 0o67) + chr(811 - 709) + chr(45) + chr(56))) == xafqLlk3kkUe(oVre8I6UXc3b._initial_frames, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\x05f\xa7;\xa6P\x0b\x0bY\x1e\xb2'), chr(100) + '\145' + chr(0b1100011) + '\x6f' + chr(6023 - 5923) + chr(0b1100101))(chr(117) + '\164' + '\x66' + '\x2d' + chr(56)))[ehT0Px3KOsy9(chr(48) + chr(0b111100 + 0o63) + chr(0b110010), 0b1000):], j2BDPOOnWIRW
x9T_Z9LnTmp9 = WqUC3KWvYVup.roll(oVre8I6UXc3b.M4Dpmx4JKxy8, shift=-ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(2168 - 2119), 8), axis=ehT0Px3KOsy9('\x30' + chr(633 - 522) + '\x31', 8))
x9T_Z9LnTmp9[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1866 - 1818), ord("\x08")), -ehT0Px3KOsy9(chr(502 - 454) + chr(3190 - 3079) + chr(550 - 501), 8), ...] = C4IqNNmLfHXB
oVre8I6UXc3b.M4Dpmx4JKxy8 = x9T_Z9LnTmp9
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/player_utils.py
|
ExtendToEvenDimentions.observation
|
def observation(self, frame):
"""Add single zero row/column to observation if needed."""
if frame.shape == self.observation_space.shape:
return frame
else:
extended_frame = np.zeros(self.observation_space.shape,
self.observation_space.dtype)
assert self.HW_AXES == (0, 1)
extended_frame[:frame.shape[0], :frame.shape[1]] = frame
return extended_frame
|
python
|
def observation(self, frame):
"""Add single zero row/column to observation if needed."""
if frame.shape == self.observation_space.shape:
return frame
else:
extended_frame = np.zeros(self.observation_space.shape,
self.observation_space.dtype)
assert self.HW_AXES == (0, 1)
extended_frame[:frame.shape[0], :frame.shape[1]] = frame
return extended_frame
|
[
"def",
"observation",
"(",
"self",
",",
"frame",
")",
":",
"if",
"frame",
".",
"shape",
"==",
"self",
".",
"observation_space",
".",
"shape",
":",
"return",
"frame",
"else",
":",
"extended_frame",
"=",
"np",
".",
"zeros",
"(",
"self",
".",
"observation_space",
".",
"shape",
",",
"self",
".",
"observation_space",
".",
"dtype",
")",
"assert",
"self",
".",
"HW_AXES",
"==",
"(",
"0",
",",
"1",
")",
"extended_frame",
"[",
":",
"frame",
".",
"shape",
"[",
"0",
"]",
",",
":",
"frame",
".",
"shape",
"[",
"1",
"]",
"]",
"=",
"frame",
"return",
"extended_frame"
] |
Add single zero row/column to observation if needed.
|
[
"Add",
"single",
"zero",
"row",
"/",
"column",
"to",
"observation",
"if",
"needed",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/player_utils.py#L208-L217
|
train
|
Add single zero row or column to observation if needed.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b100 + 0o61), 0o10), ehT0Px3KOsy9(chr(115 - 67) + chr(3906 - 3795) + '\061' + '\066' + chr(902 - 847), ord("\x08")), ehT0Px3KOsy9(chr(924 - 876) + '\157' + chr(1694 - 1644) + chr(0b101010 + 0o14) + chr(913 - 863), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111000 + 0o67) + chr(49) + '\063' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(55) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010001 + 0o36) + chr(0b10101 + 0o34) + chr(0b110110) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(0b101101 + 0o4) + chr(0b110100) + chr(435 - 381), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + chr(51) + chr(0b1 + 0o64), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110110) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1740 - 1692) + chr(111) + chr(0b10011 + 0o43) + '\x34', 20640 - 20632), ehT0Px3KOsy9(chr(48) + chr(5098 - 4987) + '\063' + chr(2261 - 2211) + chr(52), 55917 - 55909), ehT0Px3KOsy9('\060' + chr(0b1101011 + 0o4) + chr(0b110001) + chr(0b110101), 43927 - 43919), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(54) + chr(0b101011 + 0o6), 61639 - 61631), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\062' + '\060', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(51) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1573 - 1462) + '\x32' + chr(52) + chr(0b101100 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + '\066' + chr(0b110100 + 0o3), 63669 - 63661), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + '\062' + chr(0b10000 + 0o42) + chr(0b110010 + 0o1), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + '\x33' + chr(50) + chr(0b101101 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(54) + chr(0b101001 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + chr(0b110010) + chr(0b11 + 0o61) + chr(54), 8), ehT0Px3KOsy9(chr(453 - 405) + '\157' + '\x31' + chr(740 - 688) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b110011) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6468 - 6357) + '\x32' + chr(0b1001 + 0o51) + chr(1118 - 1067), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(200 - 149) + '\x33' + '\x37', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(952 - 904) + '\157' + chr(49) + '\066' + chr(2734 - 2680), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\067' + chr(1224 - 1175), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(55) + chr(0b100010 + 0o24), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\x33' + chr(2140 - 2088), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7405 - 7294) + '\x33' + chr(0b110011) + chr(0b11101 + 0o24), 8503 - 8495), ehT0Px3KOsy9(chr(0b110000) + chr(11527 - 11416) + chr(0b11100 + 0o25) + '\060' + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11110 + 0o23) + '\x35' + chr(2076 - 2025), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(712 - 662) + chr(0b110101) + '\x32', 57144 - 57136), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(1066 - 1013) + chr(1960 - 1906), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\065', 8), ehT0Px3KOsy9('\x30' + chr(9696 - 9585) + chr(735 - 685) + '\062' + '\063', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(464 - 413) + chr(0b110001) + chr(0b100010 + 0o25), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11100 + 0o27), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(208 - 160) + chr(0b10101 + 0o132) + '\065' + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'+'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1100100) + '\145')('\165' + chr(0b1110100) + '\146' + chr(0b100111 + 0o6) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mKQm526a9xSD(oVre8I6UXc3b, C4IqNNmLfHXB):
if xafqLlk3kkUe(C4IqNNmLfHXB, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x16\xc7\x05\xdd8\x01q\xe0D\xb7o'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\157' + chr(100) + chr(0b1001110 + 0o27))('\165' + chr(0b101001 + 0o113) + chr(102) + chr(1440 - 1395) + '\070')) == xafqLlk3kkUe(oVre8I6UXc3b.observation_space, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x16\xc7\x05\xdd8\x01q\xe0D\xb7o'), chr(100) + chr(7642 - 7541) + chr(5378 - 5279) + '\x6f' + chr(1574 - 1474) + '\145')(chr(7637 - 7520) + '\x74' + '\146' + chr(0b1100 + 0o41) + chr(0b10110 + 0o42))):
return C4IqNNmLfHXB
else:
gTXNSLhKqqz5 = WqUC3KWvYVup.zeros(oVre8I6UXc3b.observation_space.nauYfLglTpcb, oVre8I6UXc3b.observation_space.jSV9IKnemH7K)
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'M \xed\x1d\xe315'), '\x64' + '\145' + chr(8449 - 8350) + chr(0b1101011 + 0o4) + '\x64' + '\x65')(chr(0b1110101) + chr(4070 - 3954) + chr(6132 - 6030) + '\x2d' + '\x38')) == (ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(365 - 254) + '\x31', 8))
gTXNSLhKqqz5[:C4IqNNmLfHXB.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(3952 - 3841) + chr(0b110000), 8)], :C4IqNNmLfHXB.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061', 8)]] = C4IqNNmLfHXB
return gTXNSLhKqqz5
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/player_utils.py
|
PPOPolicyInferencer.infer
|
def infer(self, ob):
"""Add new observation to frame stack and infer policy.
Args:
ob: array of shape (height, width, channels)
Returns:
logits and vf.
"""
self._add_to_stack(ob)
logits, vf = self.infer_from_frame_stack(self._frame_stack)
return logits, vf
|
python
|
def infer(self, ob):
"""Add new observation to frame stack and infer policy.
Args:
ob: array of shape (height, width, channels)
Returns:
logits and vf.
"""
self._add_to_stack(ob)
logits, vf = self.infer_from_frame_stack(self._frame_stack)
return logits, vf
|
[
"def",
"infer",
"(",
"self",
",",
"ob",
")",
":",
"self",
".",
"_add_to_stack",
"(",
"ob",
")",
"logits",
",",
"vf",
"=",
"self",
".",
"infer_from_frame_stack",
"(",
"self",
".",
"_frame_stack",
")",
"return",
"logits",
",",
"vf"
] |
Add new observation to frame stack and infer policy.
Args:
ob: array of shape (height, width, channels)
Returns:
logits and vf.
|
[
"Add",
"new",
"observation",
"to",
"frame",
"stack",
"and",
"infer",
"policy",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/player_utils.py#L350-L361
|
train
|
Infer the logits and VF of a new observation.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1060 - 1012) + chr(8447 - 8336) + chr(0b101001 + 0o12) + chr(1472 - 1417) + chr(1527 - 1475), 0o10), ehT0Px3KOsy9(chr(1922 - 1874) + chr(3395 - 3284) + '\061' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(170 - 122) + chr(0b1000100 + 0o53) + chr(0b110010 + 0o1) + chr(0b1011 + 0o51) + chr(1182 - 1134), 6024 - 6016), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b110 + 0o53) + chr(1502 - 1447), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(189 - 134) + '\x33', 52720 - 52712), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1802 - 1753) + chr(0b110001) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\x30' + '\x30', 0b1000), ehT0Px3KOsy9(chr(2107 - 2059) + chr(0b1101111) + chr(51) + chr(52 - 4) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b110011) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(11456 - 11345) + chr(0b100101 + 0o16) + chr(0b10110 + 0o37) + chr(1027 - 977), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + chr(317 - 266) + chr(53) + '\060', 8296 - 8288), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(49) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(2185 - 2137) + '\x6f' + chr(365 - 316) + chr(442 - 393) + chr(0b101110 + 0o10), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101010 + 0o5) + chr(2632 - 2577) + chr(1422 - 1369), 0b1000), ehT0Px3KOsy9(chr(1576 - 1528) + chr(1340 - 1229) + chr(0b110001) + '\065' + chr(0b100 + 0o63), 52617 - 52609), ehT0Px3KOsy9(chr(1572 - 1524) + chr(8144 - 8033) + chr(0b110010) + chr(55) + chr(2166 - 2112), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(2205 - 2150) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(6975 - 6864) + chr(128 - 78) + chr(0b11111 + 0o23) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101 + 0o55) + '\x34' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1100 + 0o47) + '\x30' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + chr(49) + chr(327 - 275) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(5337 - 5226) + '\x32' + chr(0b100000 + 0o24), 56086 - 56078), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(0b1100 + 0o46) + '\x30' + chr(0b1111 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2662 - 2609) + chr(0b1111 + 0o43), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\066' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(49) + '\x36' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100010 + 0o20) + chr(1540 - 1492) + chr(0b100101 + 0o15), 20288 - 20280), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2382 - 2331) + chr(52) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010 + 0o145) + chr(51) + chr(0b110000) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\066' + chr(2266 - 2215), 0o10), ehT0Px3KOsy9('\060' + chr(0b11001 + 0o126) + chr(0b110010) + chr(55) + '\x34', 0b1000), ehT0Px3KOsy9(chr(1139 - 1091) + '\x6f' + chr(0b110011) + chr(1272 - 1223) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(53) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1581 - 1470) + chr(0b101110 + 0o7) + chr(54), 8), ehT0Px3KOsy9(chr(381 - 333) + '\x6f' + chr(85 - 35) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(2183 - 2072) + chr(0b0 + 0o62) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1 + 0o62) + chr(1036 - 986), 0b1000), ehT0Px3KOsy9(chr(2184 - 2136) + chr(111) + chr(294 - 243) + '\060' + '\066', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101011 + 0o7) + chr(0b11 + 0o61) + chr(2025 - 1977), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(324 - 271) + '\x30', 56866 - 56858)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2'), chr(0b1100100) + '\145' + chr(99) + chr(0b11001 + 0o126) + chr(100) + '\x65')('\x75' + chr(0b1110100) + chr(7211 - 7109) + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def IhRMh3nN8G5I(oVre8I6UXc3b, yS9T1jpbJOfJ):
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3j\x84\xebd=/\x9a\xaf\x9e\x89\xeb%'), chr(0b111110 + 0o46) + chr(2858 - 2757) + chr(99) + chr(0b11010 + 0o125) + chr(100) + chr(0b1100101))(chr(0b110111 + 0o76) + chr(9313 - 9197) + '\x66' + chr(45) + chr(0b111000)))(yS9T1jpbJOfJ)
(wF9nmvjsKjYM, TbtuQI3Vmi5X) = oVre8I6UXc3b.infer_from_frame_stack(oVre8I6UXc3b._frame_stack)
return (wF9nmvjsKjYM, TbtuQI3Vmi5X)
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/player_utils.py
|
PPOPolicyInferencer.infer_from_frame_stack
|
def infer_from_frame_stack(self, ob_stack):
"""Infer policy from stack of observations.
Args:
ob_stack: array of shape (1, frame_stack_size, height, width, channels)
Returns:
logits and vf.
"""
logits, vf = self.sess.run([self.logits_t, self.value_function_t],
feed_dict={self.obs_t: ob_stack})
return logits, vf
|
python
|
def infer_from_frame_stack(self, ob_stack):
"""Infer policy from stack of observations.
Args:
ob_stack: array of shape (1, frame_stack_size, height, width, channels)
Returns:
logits and vf.
"""
logits, vf = self.sess.run([self.logits_t, self.value_function_t],
feed_dict={self.obs_t: ob_stack})
return logits, vf
|
[
"def",
"infer_from_frame_stack",
"(",
"self",
",",
"ob_stack",
")",
":",
"logits",
",",
"vf",
"=",
"self",
".",
"sess",
".",
"run",
"(",
"[",
"self",
".",
"logits_t",
",",
"self",
".",
"value_function_t",
"]",
",",
"feed_dict",
"=",
"{",
"self",
".",
"obs_t",
":",
"ob_stack",
"}",
")",
"return",
"logits",
",",
"vf"
] |
Infer policy from stack of observations.
Args:
ob_stack: array of shape (1, frame_stack_size, height, width, channels)
Returns:
logits and vf.
|
[
"Infer",
"policy",
"from",
"stack",
"of",
"observations",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/player_utils.py#L363-L374
|
train
|
Infer policy from stack of observations.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b10 + 0o155) + chr(50) + chr(1172 - 1119) + chr(0b100100 + 0o16), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(0b10 + 0o57) + '\067' + chr(0b11000 + 0o31), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11010 + 0o125) + '\x32' + '\064' + chr(0b1110 + 0o45), 0b1000), ehT0Px3KOsy9(chr(264 - 216) + chr(0b1010101 + 0o32) + chr(715 - 666) + chr(0b110101), 44231 - 44223), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(55) + chr(0b110 + 0o53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(869 - 818) + '\066' + '\062', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b110 + 0o151) + '\x31' + chr(0b110111) + '\x37', 16135 - 16127), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(983 - 933) + '\062' + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(4315 - 4204) + '\063' + chr(48) + chr(1569 - 1516), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2890 - 2836) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b11 + 0o154) + chr(0b110010) + chr(0b1000 + 0o55) + chr(735 - 681), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(2271 - 2216) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(8213 - 8102) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\062' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + chr(0b110001) + chr(49) + chr(51), 23198 - 23190), ehT0Px3KOsy9('\060' + chr(11631 - 11520) + chr(49) + chr(0b10010 + 0o45) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(54) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(852 - 797) + chr(1011 - 963), 0o10), ehT0Px3KOsy9('\060' + chr(0b100001 + 0o116) + chr(51) + chr(773 - 725) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + '\062' + chr(2309 - 2256) + chr(0b1101 + 0o43), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b110100) + chr(0b10010 + 0o41), 55804 - 55796), ehT0Px3KOsy9(chr(857 - 809) + chr(0b1101111) + '\064' + chr(0b110000 + 0o2), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(206 - 157) + chr(0b110010) + chr(1438 - 1389), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1011111 + 0o20) + chr(0b10001 + 0o41) + chr(0b110101) + chr(0b11001 + 0o32), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100010 + 0o115) + chr(51) + chr(49) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\065' + chr(0b110000), 61228 - 61220), ehT0Px3KOsy9(chr(48) + chr(4222 - 4111) + chr(50) + '\x30' + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + '\067' + '\062', 37206 - 37198), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(6244 - 6133) + chr(49) + chr(0b101101 + 0o3) + chr(80 - 32), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(1466 - 1355) + chr(1399 - 1346) + chr(0b1011 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1226 - 1177) + chr(0b1111 + 0o45) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000 + 0o147) + '\x31', 8), ehT0Px3KOsy9(chr(1249 - 1201) + chr(2972 - 2861) + '\062' + '\x37', 17382 - 17374), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\063' + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\060' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(241 - 193) + '\157' + '\063' + chr(0b110000) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b100011 + 0o15) + chr(0b100000 + 0o23), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b10000 + 0o46), 3931 - 3923), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1806 - 1755), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + '\x35' + chr(0b11011 + 0o25), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x84'), chr(919 - 819) + chr(0b1100101) + '\143' + chr(3054 - 2943) + '\x64' + chr(0b1100101))(chr(0b1000011 + 0o62) + '\164' + '\x66' + chr(45) + chr(2842 - 2786)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def PA3zeOwo9Apm(oVre8I6UXc3b, QwgxkzEBrHKe):
(wF9nmvjsKjYM, TbtuQI3Vmi5X) = oVre8I6UXc3b.sess.sgt5BU61bwZ2([oVre8I6UXc3b.logits_t, oVre8I6UXc3b.value_function_t], feed_dict={oVre8I6UXc3b.obs_t: QwgxkzEBrHKe})
return (wF9nmvjsKjYM, TbtuQI3Vmi5X)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/babi_qa.py
|
_normalize_string
|
def _normalize_string(raw_str):
"""Normalizes the string using tokenizer.encode.
Args:
raw_str: the input string
Returns:
A string which is ready to be tokenized using split()
"""
return " ".join(
token.strip()
for token in tokenizer.encode(text_encoder.native_to_unicode(raw_str)))
|
python
|
def _normalize_string(raw_str):
"""Normalizes the string using tokenizer.encode.
Args:
raw_str: the input string
Returns:
A string which is ready to be tokenized using split()
"""
return " ".join(
token.strip()
for token in tokenizer.encode(text_encoder.native_to_unicode(raw_str)))
|
[
"def",
"_normalize_string",
"(",
"raw_str",
")",
":",
"return",
"\" \"",
".",
"join",
"(",
"token",
".",
"strip",
"(",
")",
"for",
"token",
"in",
"tokenizer",
".",
"encode",
"(",
"text_encoder",
".",
"native_to_unicode",
"(",
"raw_str",
")",
")",
")"
] |
Normalizes the string using tokenizer.encode.
Args:
raw_str: the input string
Returns:
A string which is ready to be tokenized using split()
|
[
"Normalizes",
"the",
"string",
"using",
"tokenizer",
".",
"encode",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/babi_qa.py#L84-L95
|
train
|
Normalizes the string using tokenizer. encode.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b10001 + 0o136) + chr(49) + chr(0b111 + 0o52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\x35' + chr(0b101001 + 0o11), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(10696 - 10585) + chr(1587 - 1536) + chr(0b110110) + chr(484 - 434), 0b1000), ehT0Px3KOsy9(chr(439 - 391) + '\157' + '\066' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(122 - 72) + chr(0b110101) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(0b11 + 0o154) + '\061' + '\065' + chr(0b101000 + 0o14), 6136 - 6128), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(55) + chr(0b11101 + 0o26), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1645 - 1596) + '\x34' + chr(2239 - 2189), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + chr(50) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000100 + 0o53) + '\x33' + chr(49) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100010 + 0o21) + chr(0b1001 + 0o56), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b101111 + 0o4) + '\065', 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(1147 - 1097) + chr(2145 - 2091) + chr(501 - 452), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1011000 + 0o27) + chr(0b1011 + 0o50) + chr(54) + chr(0b100 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110 + 0o55) + '\062' + chr(54), 47698 - 47690), ehT0Px3KOsy9(chr(48) + chr(0b100000 + 0o117) + '\061' + '\x37' + chr(2618 - 2565), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(50) + '\062' + chr(0b110111), 19610 - 19602), ehT0Px3KOsy9('\060' + '\157' + chr(1321 - 1268) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\x32' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + chr(0b100000 + 0o23) + '\x37' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100001 + 0o21) + '\x30' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(0b110110) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(937 - 889) + chr(0b1101111) + chr(0b110010 + 0o0) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\064' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + '\064' + chr(2407 - 2357), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100000 + 0o17) + '\062' + chr(0b110000) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b110111), 8), ehT0Px3KOsy9(chr(48) + chr(9456 - 9345) + '\063' + chr(52) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + chr(805 - 755) + '\063' + '\060', 63405 - 63397), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2226 - 2177) + chr(51) + chr(0b110010 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10565 - 10454) + chr(0b10101 + 0o34) + '\061' + chr(1680 - 1629), ord("\x08")), ehT0Px3KOsy9(chr(443 - 395) + '\x6f' + '\x33' + chr(1336 - 1287) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1461 - 1413) + chr(0b1101111) + chr(0b100110 + 0o13) + '\066' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(2250 - 2202) + chr(0b1101111) + chr(791 - 741) + chr(1694 - 1639) + chr(0b110011 + 0o2), 36847 - 36839), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b11011 + 0o25) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + '\x31' + chr(0b110001) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b111 + 0o150) + '\067' + chr(0b101110 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1747 - 1698) + '\065' + chr(646 - 597), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\067' + '\067', 25219 - 25211), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\063' + '\x37', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(0b1110 + 0o47) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b"'"), chr(0b1100100) + chr(6632 - 6531) + chr(99) + chr(111) + chr(0b1100100) + chr(101))(chr(12110 - 11993) + '\164' + chr(102) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def V1Cr3u5aheH4(y0q1gL29J_ET):
return xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b')'), chr(0b1100 + 0o130) + '\145' + chr(0b1100011) + '\x6f' + '\x64' + '\x65')(chr(0b11110 + 0o127) + chr(116) + chr(3181 - 3079) + chr(0b101101) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'c\x05\x9bY'), '\144' + chr(101) + chr(0b1011100 + 0o7) + chr(938 - 827) + chr(100) + chr(6527 - 6426))(chr(117) + chr(11821 - 11705) + chr(0b1100110) + '\055' + '\x38'))((xafqLlk3kkUe(mTy3fac_AqJ5, xafqLlk3kkUe(SXOLrMavuUCe(b'z\x1e\x80^\xd8'), chr(0b1100100) + chr(0b1100101) + chr(0b111001 + 0o52) + '\157' + '\144' + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(5000 - 4898) + chr(1520 - 1475) + chr(734 - 678)))() for mTy3fac_AqJ5 in xafqLlk3kkUe(v6ZI_vRSLpRb, xafqLlk3kkUe(SXOLrMavuUCe(b'l\x04\x91X\xcc\t'), '\x64' + chr(0b10101 + 0o120) + chr(0b11010 + 0o111) + chr(111) + chr(0b11 + 0o141) + '\145')('\x75' + '\x74' + '\146' + chr(0b101101) + chr(0b101 + 0o63)))(xafqLlk3kkUe(nCRDzZ_Is9fz, xafqLlk3kkUe(SXOLrMavuUCe(b'g\x0b\x86^\xde\t\xa4\x16|\x94js\xd8\x97\xb9\x19\xf2'), chr(8808 - 8708) + chr(4797 - 4696) + chr(4924 - 4825) + chr(111) + chr(100) + '\145')(chr(0b1001011 + 0o52) + chr(116) + chr(0b1100110) + chr(0b111 + 0o46) + chr(1107 - 1051)))(y0q1gL29J_ET))))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/babi_qa.py
|
_prepare_babi_data
|
def _prepare_babi_data(tmp_dir, data_dir):
"""Downloads and extracts the dataset.
Args:
tmp_dir: temp directory to download and extract the dataset
data_dir: The base directory where data and vocab files are stored.
Returns:
tmp_dir: temp directory containing the raw data.
"""
if not tf.gfile.Exists(data_dir):
tf.gfile.MakeDirs(data_dir)
file_path = os.path.join(tmp_dir, _TAR)
headers = {"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_1) "
"AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/63.0.3239.132 Safari/537.36"}
resp = requests.get(_URL, headers=headers)
with open(file_path, "wb") as f:
f.write(resp.content)
tar = tarfile.open(file_path)
tar.extractall(tmp_dir)
tar.close()
return tmp_dir
|
python
|
def _prepare_babi_data(tmp_dir, data_dir):
"""Downloads and extracts the dataset.
Args:
tmp_dir: temp directory to download and extract the dataset
data_dir: The base directory where data and vocab files are stored.
Returns:
tmp_dir: temp directory containing the raw data.
"""
if not tf.gfile.Exists(data_dir):
tf.gfile.MakeDirs(data_dir)
file_path = os.path.join(tmp_dir, _TAR)
headers = {"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_1) "
"AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/63.0.3239.132 Safari/537.36"}
resp = requests.get(_URL, headers=headers)
with open(file_path, "wb") as f:
f.write(resp.content)
tar = tarfile.open(file_path)
tar.extractall(tmp_dir)
tar.close()
return tmp_dir
|
[
"def",
"_prepare_babi_data",
"(",
"tmp_dir",
",",
"data_dir",
")",
":",
"if",
"not",
"tf",
".",
"gfile",
".",
"Exists",
"(",
"data_dir",
")",
":",
"tf",
".",
"gfile",
".",
"MakeDirs",
"(",
"data_dir",
")",
"file_path",
"=",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"_TAR",
")",
"headers",
"=",
"{",
"\"User-Agent\"",
":",
"\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_1) \"",
"\"AppleWebKit/537.36 (KHTML, like Gecko) \"",
"\"Chrome/63.0.3239.132 Safari/537.36\"",
"}",
"resp",
"=",
"requests",
".",
"get",
"(",
"_URL",
",",
"headers",
"=",
"headers",
")",
"with",
"open",
"(",
"file_path",
",",
"\"wb\"",
")",
"as",
"f",
":",
"f",
".",
"write",
"(",
"resp",
".",
"content",
")",
"tar",
"=",
"tarfile",
".",
"open",
"(",
"file_path",
")",
"tar",
".",
"extractall",
"(",
"tmp_dir",
")",
"tar",
".",
"close",
"(",
")",
"return",
"tmp_dir"
] |
Downloads and extracts the dataset.
Args:
tmp_dir: temp directory to download and extract the dataset
data_dir: The base directory where data and vocab files are stored.
Returns:
tmp_dir: temp directory containing the raw data.
|
[
"Downloads",
"and",
"extracts",
"the",
"dataset",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/babi_qa.py#L98-L123
|
train
|
Downloads and extracts the dataset.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(8135 - 8024) + chr(0b110010) + chr(0b110000) + '\061', 0b1000), ehT0Px3KOsy9(chr(1836 - 1788) + '\157' + '\x33' + chr(0b110000) + '\062', 20524 - 20516), ehT0Px3KOsy9('\x30' + '\x6f' + chr(141 - 87) + chr(0b101101 + 0o4), 8083 - 8075), ehT0Px3KOsy9(chr(1805 - 1757) + '\x6f' + chr(0b110011) + chr(0b110000) + chr(52), 0b1000), ehT0Px3KOsy9(chr(846 - 798) + chr(111) + chr(0b110010) + '\x31' + '\x36', 0b1000), ehT0Px3KOsy9(chr(1503 - 1455) + '\x6f' + '\064' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110100) + '\064', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(2181 - 2131) + '\x36' + '\062', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(651 - 602) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(597 - 549) + chr(0b1101111) + chr(642 - 593) + chr(0b11011 + 0o25) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(248 - 197) + '\067' + chr(215 - 161), 0o10), ehT0Px3KOsy9('\x30' + chr(177 - 66) + chr(2205 - 2150) + chr(648 - 598), 51202 - 51194), ehT0Px3KOsy9(chr(1403 - 1355) + chr(111) + '\x31' + chr(0b100001 + 0o21) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + chr(1249 - 1198) + '\063' + chr(0b11 + 0o64), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + '\x31' + '\x33' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(617 - 565) + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\060' + chr(604 - 555), ord("\x08")), ehT0Px3KOsy9(chr(91 - 43) + chr(0b1010100 + 0o33) + '\061' + '\x36' + chr(0b100111 + 0o13), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1459 - 1409) + '\067' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(1895 - 1784) + '\061' + chr(380 - 325) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(2229 - 2181) + chr(0b1101111) + '\061' + chr(0b110101) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\x33' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(2578 - 2527) + chr(0b101111 + 0o3) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(1995 - 1941) + chr(0b10011 + 0o36), 16171 - 16163), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(48) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + '\x31' + chr(55) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b1011 + 0o47) + chr(51), 23339 - 23331), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\x35' + chr(0b100010 + 0o23), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3597 - 3486) + '\062' + '\061' + '\066', 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\067' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100110 + 0o16) + chr(795 - 741), ord("\x08")), ehT0Px3KOsy9(chr(2106 - 2058) + '\x6f' + '\x31' + '\x35' + '\062', 8), ehT0Px3KOsy9('\x30' + chr(0b100101 + 0o112) + '\061' + '\x33' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b101001 + 0o106) + '\x32' + chr(0b110100) + '\060', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(0b1000 + 0o54) + '\063', 30536 - 30528), ehT0Px3KOsy9(chr(1571 - 1523) + chr(111) + chr(828 - 778) + chr(0b10011 + 0o37) + chr(2288 - 2238), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b11110 + 0o121) + '\x33' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b1110 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(525 - 477) + chr(0b1000000 + 0o57) + chr(0b110001) + chr(50) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(570 - 521) + chr(0b110100) + chr(2265 - 2213), 26054 - 26046)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x35' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf'), chr(0b111010 + 0o52) + chr(0b1100101) + chr(7529 - 7430) + chr(0b1101111) + chr(0b1000000 + 0o44) + chr(8503 - 8402))(chr(0b1101011 + 0o12) + chr(116) + chr(9055 - 8953) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZjeMLm3vf7Jm(JsZ36NJUqtml, kVFRD544hi_1):
if not xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\xbaX\xb7\xfaR'), chr(0b11000 + 0o114) + chr(101) + chr(4285 - 4186) + chr(0b1101111) + '\144' + chr(101))('\165' + '\x74' + chr(0b1100110) + '\x2d' + chr(992 - 936)))(kVFRD544hi_1):
xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xa3Z\xa1\xcaHV\xc1'), chr(0b1100100) + '\145' + chr(8770 - 8671) + chr(111) + chr(0b11100 + 0o110) + chr(101))(chr(12130 - 12013) + chr(116) + '\x66' + chr(0b101101) + '\x38'))(kVFRD544hi_1)
Ti9e_bxaCVyu = oqhJDdMJfuwx.path.join(JsZ36NJUqtml, DXlWGvg_vaIv)
Po1zXXTKc_sm = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xb1T\xb6\xa3`C\xd7\xa01'), chr(0b1100100) + chr(4612 - 4511) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1100111 + 0o16) + '\x74' + chr(102) + '\055' + chr(1568 - 1512)): xafqLlk3kkUe(SXOLrMavuUCe(b"\xcc\xadK\xad\xe2ME\x9d\xfbk\xce\x1a|\x928B(\x1c\xcd\x11\x19\xb5\xee\x91\x0f\x15\xe7\x08\xe2\x1ek\x0b8\x80,\xc1<HuU\xb1\x9d\x00\xf7\xd1\x10\r\x92\x8f5\x8eV1\x88<C\n\x1b\xcdQ_\xee\xe2\x9fuM\xb3E\xc5vr'\x17\x8cC\xfeu{0D\xc6\xa7R\xaf\xe1\x08\x04\xf1\xa67\x91W1\xf0o\x12oB\x97MX\xee\xec\x9fwH\xa1M\xdd_@\x0b)\xc9L\xa7/'{W\xb7"), chr(3169 - 3069) + chr(3131 - 3030) + chr(0b101010 + 0o71) + chr(111) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(4160 - 4044) + '\x66' + chr(1217 - 1172) + chr(0b110101 + 0o3))}
o76vgcEvX48n = Mx6ixpcPMQy3.get(pCCmpnhZPmGO, headers=Po1zXXTKc_sm)
with _fwkIVCGgtAN(Ti9e_bxaCVyu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xa0'), '\x64' + chr(0b101110 + 0o67) + '\x63' + chr(2245 - 2134) + '\144' + '\x65')(chr(0b1100001 + 0o24) + chr(116) + chr(4583 - 4481) + chr(0b10 + 0o53) + chr(1796 - 1740))) as EGyt1xfPT1P6:
xafqLlk3kkUe(EGyt1xfPT1P6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xb0X\xb0\xeb'), chr(0b1100100) + chr(0b1100101) + chr(523 - 424) + '\157' + '\x64' + chr(101))(chr(117) + '\x74' + '\x66' + chr(431 - 386) + chr(56)))(xafqLlk3kkUe(o76vgcEvX48n, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xad_\xb0\xebOP'), chr(100) + '\145' + chr(0b1010011 + 0o20) + chr(7530 - 7419) + chr(100) + '\x65')('\165' + '\x74' + '\146' + chr(0b1101 + 0o40) + '\x38')))
BL0nQryxvAKT = RxqDt8LqC5Ns.open(Ti9e_bxaCVyu)
xafqLlk3kkUe(BL0nQryxvAKT, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xbaE\xb6\xefBP\xd3\xa2)'), chr(0b1100100) + chr(1645 - 1544) + chr(99) + chr(12013 - 11902) + chr(8214 - 8114) + chr(0b1100101))(chr(117) + chr(116) + '\x66' + chr(45) + '\x38'))(JsZ36NJUqtml)
xafqLlk3kkUe(BL0nQryxvAKT, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xae^\xb7\xeb'), chr(100) + chr(0b1010 + 0o133) + chr(0b1011111 + 0o4) + chr(111) + '\x64' + chr(0b100111 + 0o76))(chr(5102 - 4985) + '\x74' + chr(0b1100110) + '\x2d' + chr(2257 - 2201)))()
return JsZ36NJUqtml
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/babi_qa.py
|
_babi_parser
|
def _babi_parser(tmp_dir,
babi_task_id,
subset,
dataset_split,
joint_training=True):
"""Parsing the bAbi dataset (train and test).
Args:
tmp_dir: temp directory to download and extract the dataset
babi_task_id: babi task id
subset: babi subset
dataset_split: dataset split (train or eval)
joint_training: if training the model on all tasks.
Returns:
babi_instances: set of training examples, each a dict containing a story,
a question and an answer.
babi_lines: all the texts in the data separated based on their
appearance in the stories, questions, or answers.
"""
def _data_file(mode, task_id):
"""Generates the path to the data file for the given mode(train/test).
Args:
mode: either train or test for bAbi dataset
task_id: babi task id
Returns:
data file path
"""
file_name = (_TASKS[task_id] + "_{}.txt")
return os.path.join(_DIR_NAME, subset, file_name.format(mode))
def _all_task_raw_data_generator(tmp_dir, data_file, dataset_split):
"""Prepares raw data for all tasks to gether..
Args:
tmp_dir: temp directory
data_file: data file
dataset_split: dataset split
"""
tf.logging.info("Preparing dataset of all task together")
globe_name = ("*_{}.txt")
mode_name = "test"
if dataset_split == problem.DatasetSplit.TRAIN:
mode_name = "train"
files_name = os.path.join(
tmp_dir, _DIR_NAME, subset,
globe_name.format(mode_name))
with tf.gfile.GFile(data_file, "wb") as outfile:
for filename in tf.gfile.Glob(files_name):
if filename == data_file:
# don"t want to copy the output into the output
continue
with tf.gfile.GFile(filename, "rb") as readfile:
shutil.copyfileobj(readfile, outfile)
def _parse_answer(answer):
if (joint_training or babi_task_id in ["qa8", "qa19", "qa0"
]): # "lists-sets" or "path finding"
return "".join([d for d in answer.split(",")]) # as a single token!
else:
return answer
if dataset_split == problem.DatasetSplit.TRAIN:
babi_train_task_id = "qa0" if joint_training else babi_task_id
data_file = os.path.join(tmp_dir, _data_file("train", babi_train_task_id))
else:
data_file = os.path.join(tmp_dir, _data_file("test", babi_task_id))
if ((babi_task_id == "qa0" or joint_training) and
not tf.gfile.Exists(os.path.join(tmp_dir, data_file))):
_all_task_raw_data_generator(tmp_dir, data_file, dataset_split)
tf.logging.info("Parsing %s into training/testing instances...", data_file)
babi_instances = []
with tf.gfile.GFile(data_file, mode="r") as f:
story = []
for line in f:
line_num, line = line.strip().split(" ", 1)
if int(line_num) == 1:
story = []
if "\t" in line:
question, answer, _ = line.split("\t")
question = _normalize_string(question)
substories = [s for s in story if s]
answer = _parse_answer(answer)
instance = {
FeatureNames.STORY: substories,
FeatureNames.QUESTION: question,
FeatureNames.ANSWER: answer
}
babi_instances.append(instance)
story.append("")
else:
story.append(_normalize_string(line))
return babi_instances
|
python
|
def _babi_parser(tmp_dir,
babi_task_id,
subset,
dataset_split,
joint_training=True):
"""Parsing the bAbi dataset (train and test).
Args:
tmp_dir: temp directory to download and extract the dataset
babi_task_id: babi task id
subset: babi subset
dataset_split: dataset split (train or eval)
joint_training: if training the model on all tasks.
Returns:
babi_instances: set of training examples, each a dict containing a story,
a question and an answer.
babi_lines: all the texts in the data separated based on their
appearance in the stories, questions, or answers.
"""
def _data_file(mode, task_id):
"""Generates the path to the data file for the given mode(train/test).
Args:
mode: either train or test for bAbi dataset
task_id: babi task id
Returns:
data file path
"""
file_name = (_TASKS[task_id] + "_{}.txt")
return os.path.join(_DIR_NAME, subset, file_name.format(mode))
def _all_task_raw_data_generator(tmp_dir, data_file, dataset_split):
"""Prepares raw data for all tasks to gether..
Args:
tmp_dir: temp directory
data_file: data file
dataset_split: dataset split
"""
tf.logging.info("Preparing dataset of all task together")
globe_name = ("*_{}.txt")
mode_name = "test"
if dataset_split == problem.DatasetSplit.TRAIN:
mode_name = "train"
files_name = os.path.join(
tmp_dir, _DIR_NAME, subset,
globe_name.format(mode_name))
with tf.gfile.GFile(data_file, "wb") as outfile:
for filename in tf.gfile.Glob(files_name):
if filename == data_file:
# don"t want to copy the output into the output
continue
with tf.gfile.GFile(filename, "rb") as readfile:
shutil.copyfileobj(readfile, outfile)
def _parse_answer(answer):
if (joint_training or babi_task_id in ["qa8", "qa19", "qa0"
]): # "lists-sets" or "path finding"
return "".join([d for d in answer.split(",")]) # as a single token!
else:
return answer
if dataset_split == problem.DatasetSplit.TRAIN:
babi_train_task_id = "qa0" if joint_training else babi_task_id
data_file = os.path.join(tmp_dir, _data_file("train", babi_train_task_id))
else:
data_file = os.path.join(tmp_dir, _data_file("test", babi_task_id))
if ((babi_task_id == "qa0" or joint_training) and
not tf.gfile.Exists(os.path.join(tmp_dir, data_file))):
_all_task_raw_data_generator(tmp_dir, data_file, dataset_split)
tf.logging.info("Parsing %s into training/testing instances...", data_file)
babi_instances = []
with tf.gfile.GFile(data_file, mode="r") as f:
story = []
for line in f:
line_num, line = line.strip().split(" ", 1)
if int(line_num) == 1:
story = []
if "\t" in line:
question, answer, _ = line.split("\t")
question = _normalize_string(question)
substories = [s for s in story if s]
answer = _parse_answer(answer)
instance = {
FeatureNames.STORY: substories,
FeatureNames.QUESTION: question,
FeatureNames.ANSWER: answer
}
babi_instances.append(instance)
story.append("")
else:
story.append(_normalize_string(line))
return babi_instances
|
[
"def",
"_babi_parser",
"(",
"tmp_dir",
",",
"babi_task_id",
",",
"subset",
",",
"dataset_split",
",",
"joint_training",
"=",
"True",
")",
":",
"def",
"_data_file",
"(",
"mode",
",",
"task_id",
")",
":",
"\"\"\"Generates the path to the data file for the given mode(train/test).\n\n Args:\n mode: either train or test for bAbi dataset\n task_id: babi task id\n\n Returns:\n data file path\n \"\"\"",
"file_name",
"=",
"(",
"_TASKS",
"[",
"task_id",
"]",
"+",
"\"_{}.txt\"",
")",
"return",
"os",
".",
"path",
".",
"join",
"(",
"_DIR_NAME",
",",
"subset",
",",
"file_name",
".",
"format",
"(",
"mode",
")",
")",
"def",
"_all_task_raw_data_generator",
"(",
"tmp_dir",
",",
"data_file",
",",
"dataset_split",
")",
":",
"\"\"\"Prepares raw data for all tasks to gether..\n\n Args:\n tmp_dir: temp directory\n data_file: data file\n dataset_split: dataset split\n \"\"\"",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Preparing dataset of all task together\"",
")",
"globe_name",
"=",
"(",
"\"*_{}.txt\"",
")",
"mode_name",
"=",
"\"test\"",
"if",
"dataset_split",
"==",
"problem",
".",
"DatasetSplit",
".",
"TRAIN",
":",
"mode_name",
"=",
"\"train\"",
"files_name",
"=",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"_DIR_NAME",
",",
"subset",
",",
"globe_name",
".",
"format",
"(",
"mode_name",
")",
")",
"with",
"tf",
".",
"gfile",
".",
"GFile",
"(",
"data_file",
",",
"\"wb\"",
")",
"as",
"outfile",
":",
"for",
"filename",
"in",
"tf",
".",
"gfile",
".",
"Glob",
"(",
"files_name",
")",
":",
"if",
"filename",
"==",
"data_file",
":",
"# don\"t want to copy the output into the output",
"continue",
"with",
"tf",
".",
"gfile",
".",
"GFile",
"(",
"filename",
",",
"\"rb\"",
")",
"as",
"readfile",
":",
"shutil",
".",
"copyfileobj",
"(",
"readfile",
",",
"outfile",
")",
"def",
"_parse_answer",
"(",
"answer",
")",
":",
"if",
"(",
"joint_training",
"or",
"babi_task_id",
"in",
"[",
"\"qa8\"",
",",
"\"qa19\"",
",",
"\"qa0\"",
"]",
")",
":",
"# \"lists-sets\" or \"path finding\"",
"return",
"\"\"",
".",
"join",
"(",
"[",
"d",
"for",
"d",
"in",
"answer",
".",
"split",
"(",
"\",\"",
")",
"]",
")",
"# as a single token!",
"else",
":",
"return",
"answer",
"if",
"dataset_split",
"==",
"problem",
".",
"DatasetSplit",
".",
"TRAIN",
":",
"babi_train_task_id",
"=",
"\"qa0\"",
"if",
"joint_training",
"else",
"babi_task_id",
"data_file",
"=",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"_data_file",
"(",
"\"train\"",
",",
"babi_train_task_id",
")",
")",
"else",
":",
"data_file",
"=",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"_data_file",
"(",
"\"test\"",
",",
"babi_task_id",
")",
")",
"if",
"(",
"(",
"babi_task_id",
"==",
"\"qa0\"",
"or",
"joint_training",
")",
"and",
"not",
"tf",
".",
"gfile",
".",
"Exists",
"(",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"data_file",
")",
")",
")",
":",
"_all_task_raw_data_generator",
"(",
"tmp_dir",
",",
"data_file",
",",
"dataset_split",
")",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Parsing %s into training/testing instances...\"",
",",
"data_file",
")",
"babi_instances",
"=",
"[",
"]",
"with",
"tf",
".",
"gfile",
".",
"GFile",
"(",
"data_file",
",",
"mode",
"=",
"\"r\"",
")",
"as",
"f",
":",
"story",
"=",
"[",
"]",
"for",
"line",
"in",
"f",
":",
"line_num",
",",
"line",
"=",
"line",
".",
"strip",
"(",
")",
".",
"split",
"(",
"\" \"",
",",
"1",
")",
"if",
"int",
"(",
"line_num",
")",
"==",
"1",
":",
"story",
"=",
"[",
"]",
"if",
"\"\\t\"",
"in",
"line",
":",
"question",
",",
"answer",
",",
"_",
"=",
"line",
".",
"split",
"(",
"\"\\t\"",
")",
"question",
"=",
"_normalize_string",
"(",
"question",
")",
"substories",
"=",
"[",
"s",
"for",
"s",
"in",
"story",
"if",
"s",
"]",
"answer",
"=",
"_parse_answer",
"(",
"answer",
")",
"instance",
"=",
"{",
"FeatureNames",
".",
"STORY",
":",
"substories",
",",
"FeatureNames",
".",
"QUESTION",
":",
"question",
",",
"FeatureNames",
".",
"ANSWER",
":",
"answer",
"}",
"babi_instances",
".",
"append",
"(",
"instance",
")",
"story",
".",
"append",
"(",
"\"\"",
")",
"else",
":",
"story",
".",
"append",
"(",
"_normalize_string",
"(",
"line",
")",
")",
"return",
"babi_instances"
] |
Parsing the bAbi dataset (train and test).
Args:
tmp_dir: temp directory to download and extract the dataset
babi_task_id: babi task id
subset: babi subset
dataset_split: dataset split (train or eval)
joint_training: if training the model on all tasks.
Returns:
babi_instances: set of training examples, each a dict containing a story,
a question and an answer.
babi_lines: all the texts in the data separated based on their
appearance in the stories, questions, or answers.
|
[
"Parsing",
"the",
"bAbi",
"dataset",
"(",
"train",
"and",
"test",
")",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/babi_qa.py#L152-L253
|
train
|
This function parses the bAbi dataset and returns the bAbi dataset.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + chr(2077 - 2026) + chr(0b110111) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(55) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(51) + chr(2465 - 2412), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + '\x31' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\064' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001 + 0o1) + '\x32' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(1351 - 1298) + chr(2255 - 2204), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(140 - 29) + chr(51) + '\x36' + '\x36', 46668 - 46660), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\062' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110011) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b110101) + chr(51), 8), ehT0Px3KOsy9(chr(939 - 891) + '\157' + chr(51) + '\065' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(350 - 302) + '\x6f' + chr(0b11010 + 0o31) + chr(1534 - 1484) + chr(2301 - 2246), 0o10), ehT0Px3KOsy9(chr(1247 - 1199) + chr(111) + chr(49) + chr(48) + chr(1765 - 1712), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3023 - 2912) + chr(2037 - 1988) + chr(0b1 + 0o64) + '\062', 24310 - 24302), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101100 + 0o5) + '\067', 0o10), ehT0Px3KOsy9(chr(1986 - 1938) + chr(0b111110 + 0o61) + '\x33' + chr(0b101111 + 0o7) + '\066', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(327 - 277) + chr(1366 - 1317) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11 + 0o60) + chr(51) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b11010 + 0o27) + chr(2525 - 2470) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + chr(54) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(48) + chr(50), 0b1000), ehT0Px3KOsy9(chr(2129 - 2081) + chr(0b1101111) + chr(49) + chr(0b110011) + '\064', 0b1000), ehT0Px3KOsy9(chr(147 - 99) + chr(0b1100100 + 0o13) + chr(50) + '\x35' + chr(2626 - 2572), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1669 - 1619) + chr(51) + chr(2248 - 2193), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + chr(50) + chr(1597 - 1546) + chr(1038 - 985), 8), ehT0Px3KOsy9('\x30' + chr(10026 - 9915) + chr(284 - 233) + chr(155 - 103) + chr(595 - 545), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(998 - 947) + chr(49) + chr(0b100010 + 0o16), 624 - 616), ehT0Px3KOsy9(chr(202 - 154) + chr(5549 - 5438) + '\062' + chr(51) + '\065', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11100 + 0o30) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b10 + 0o57) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(0b110011) + chr(52) + chr(2348 - 2293), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\066' + chr(0b110000), 37637 - 37629), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1111 + 0o45) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11011 + 0o33) + '\x36', 0o10), ehT0Px3KOsy9(chr(1108 - 1060) + chr(111) + chr(0b100001 + 0o21) + '\065' + '\x35', 59189 - 59181), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + '\x34' + '\062', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1556 - 1505) + '\x33' + chr(910 - 858), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(9315 - 9204) + chr(976 - 927) + '\062' + chr(0b1110 + 0o43), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(11656 - 11545) + chr(53) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4'), '\x64' + chr(101) + '\x63' + chr(1507 - 1396) + chr(100) + '\145')(chr(8446 - 8329) + chr(0b1110100) + chr(10317 - 10215) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def pfj0THSfxJVu(JsZ36NJUqtml, Mry5XRUQPOVn, GKGXFKoBb2qK, XqbfPmad1kJ4, UYiZg7GeiDO0=ehT0Px3KOsy9('\060' + '\x6f' + chr(49), 0b1000)):
def VFyWg_Nc8lkh(holLFgwB7vsP, h_MwKIdeQ6Ce):
OK327sCYstzB = Y7tZ67y6Gwdq[h_MwKIdeQ6Ce] + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5\x83\xe0$\x97\xe8\xdf'), '\144' + '\x65' + chr(6759 - 6660) + chr(10914 - 10803) + chr(0b1001110 + 0o26) + chr(9668 - 9567))('\x75' + '\164' + chr(102) + chr(45) + chr(56))
return xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x97\xf4d'), chr(0b1100100) + '\x65' + '\x63' + chr(0b111001 + 0o66) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(116) + '\x66' + chr(0b101010 + 0o3) + '\070'))(vddmkAK18pNR, GKGXFKoBb2qK, xafqLlk3kkUe(OK327sCYstzB, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\xcc\xefe\xab\xf1\xf8\xc5\xc3\xef\xce\x82'), chr(7481 - 7381) + '\145' + chr(0b1100011) + chr(5483 - 5372) + '\144' + chr(0b10100 + 0o121))(chr(117) + chr(0b1000011 + 0o61) + chr(0b1100110) + chr(860 - 815) + '\x38'))(holLFgwB7vsP))
def I28HrhEtn0p6(JsZ36NJUqtml, CRm8xD274Xgy, XqbfPmad1kJ4):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xcf\xd5r\x96\xf3\xcc\xc1\xf9\xf3\xf1\x83'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\157' + chr(2842 - 2742) + '\x65')(chr(3880 - 3763) + chr(116) + chr(5801 - 5699) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\x8a\xf8z\x82\xe2\xc2\x98\xf4\xbf\xcf\x89\xa3$\x19j\x82\xa9\xb7\x1c\x13#0\xc2\xbfp\xfc\x91\xa3\xbdU\xe1\x80\xd5V^\xc8P'), chr(100) + chr(9620 - 9519) + chr(0b1000001 + 0o42) + '\157' + '\144' + chr(8427 - 8326))('\165' + '\x74' + '\x66' + '\055' + chr(1602 - 1546)))
su5CJIZ2qub0 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\xa7\xe6w\xcd\xe4\xd3\x82'), chr(340 - 240) + '\145' + '\x63' + chr(0b1101 + 0o142) + chr(8952 - 8852) + '\145')('\x75' + '\x74' + '\146' + chr(0b1110 + 0o37) + '\070')
X6hW29sf8dpY = xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x9d\xee~'), '\x64' + chr(2271 - 2170) + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b101101 + 0o110) + chr(0b110000 + 0o104) + chr(2861 - 2759) + chr(0b101101) + chr(207 - 151))
if XqbfPmad1kJ4 == xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\xaa\xdcC\xad'), chr(5425 - 5325) + chr(101) + chr(0b1011111 + 0o4) + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(3744 - 3628) + chr(0b1100110) + chr(0b100001 + 0o14) + '\x38')):
X6hW29sf8dpY = xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x8a\xfcc\x8d'), chr(3480 - 3380) + '\x65' + chr(0b1100001 + 0o2) + '\157' + '\x64' + chr(4482 - 4381))('\165' + '\164' + chr(1591 - 1489) + chr(45) + '\x38')
iF6ixip1RpF7 = oqhJDdMJfuwx.path.join(JsZ36NJUqtml, vddmkAK18pNR, GKGXFKoBb2qK, su5CJIZ2qub0.V4roHaS3Ppej(X6hW29sf8dpY))
with xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\xbe\xf4f\x86'), chr(0b1011000 + 0o14) + '\x65' + '\143' + chr(6505 - 6394) + chr(0b1100100) + chr(101))(chr(0b1110101) + '\x74' + '\x66' + '\055' + chr(56)))(CRm8xD274Xgy, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x9a'), chr(0b1100100) + chr(101) + chr(4157 - 4058) + chr(111) + chr(6914 - 6814) + '\x65')(chr(0b1110101) + chr(0b1011 + 0o151) + chr(102) + '\x2d' + chr(0b100 + 0o64))) as VYUfp6Ou9W7x:
for xw4DsBfIJ22E in xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\x94\xf2h'), '\x64' + chr(0b10100 + 0o121) + chr(99) + chr(0b1101111) + chr(4077 - 3977) + chr(0b1001100 + 0o31))(chr(117) + '\164' + '\146' + chr(0b10011 + 0o32) + chr(0b111000)))(iF6ixip1RpF7):
if xw4DsBfIJ22E == CRm8xD274Xgy:
continue
with xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\xbe\xf4f\x86'), '\x64' + chr(101) + chr(0b101100 + 0o67) + chr(2763 - 2652) + chr(0b110100 + 0o60) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + '\x38'))(xw4DsBfIJ22E, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\x9a'), chr(0b1010111 + 0o15) + chr(2781 - 2680) + chr(0b1100011) + chr(767 - 656) + chr(100) + '\145')(chr(0b11 + 0o162) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(379 - 323))) as G6NPphSP4aSW:
xafqLlk3kkUe(DSLq_IS6e6IX, xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\x97\xeds\x85\xf9\xc7\x93\xfc\xfd\xc1'), chr(2631 - 2531) + '\145' + '\x63' + '\157' + chr(100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(4313 - 4211) + chr(0b101101) + '\x38'))(G6NPphSP4aSW, VYUfp6Ou9W7x)
def Kzr_OiwGnWVx(_aygkdacRfLD):
if UYiZg7GeiDO0 or Mry5XRUQPOVn in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x99\xa5'), '\144' + chr(0b111010 + 0o53) + chr(6200 - 6101) + '\157' + chr(0b10101 + 0o117) + '\x65')(chr(0b1000101 + 0o60) + '\164' + chr(102) + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x99\xac3'), '\x64' + chr(9279 - 9178) + '\143' + chr(9184 - 9073) + chr(0b1100100) + '\145')(chr(8587 - 8470) + chr(116) + '\146' + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x99\xad'), chr(0b110010 + 0o62) + chr(0b1100101) + '\x63' + chr(0b1101100 + 0o3) + chr(100) + '\x65')(chr(0b1011100 + 0o31) + chr(0b1110100) + '\146' + chr(0b101010 + 0o3) + chr(729 - 673))]:
return xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b111101 + 0o47) + chr(101) + '\x63' + chr(0b111 + 0o150) + chr(100) + '\145')('\x75' + chr(5783 - 5667) + chr(0b1100110) + chr(0b1 + 0o54) + chr(1325 - 1269)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x97\xf4d'), chr(0b1100100) + chr(101) + chr(0b1010001 + 0o22) + '\x6f' + '\x64' + '\x65')(chr(0b10100 + 0o141) + chr(7890 - 7774) + chr(2178 - 2076) + chr(359 - 314) + chr(0b11110 + 0o32)))([pd3lxn9vqWxp for pd3lxn9vqWxp in xafqLlk3kkUe(_aygkdacRfLD, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\x88\xf1c\x97'), '\x64' + '\x65' + chr(1604 - 1505) + chr(8322 - 8211) + chr(0b1100100) + chr(101))(chr(0b10 + 0o163) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b101100 + 0o14)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6'), chr(100) + '\145' + '\x63' + '\157' + chr(100) + chr(583 - 482))(chr(6804 - 6687) + chr(0b1110100) + chr(2659 - 2557) + chr(45) + chr(0b1110 + 0o52)))])
else:
return _aygkdacRfLD
if XqbfPmad1kJ4 == xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\xaa\xdcC\xad'), chr(0b1100010 + 0o2) + chr(5100 - 4999) + chr(0b101101 + 0o66) + chr(111) + '\x64' + chr(7867 - 7766))(chr(5399 - 5282) + chr(0b11011 + 0o131) + chr(0b1100110) + chr(45) + chr(2280 - 2224))):
w0AIslGCzF2k = xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x99\xad'), chr(0b1100100) + '\145' + chr(0b0 + 0o143) + '\157' + chr(100) + '\x65')(chr(0b1110101) + chr(5448 - 5332) + chr(0b110 + 0o140) + '\055' + chr(56)) if UYiZg7GeiDO0 else Mry5XRUQPOVn
CRm8xD274Xgy = oqhJDdMJfuwx.path.join(JsZ36NJUqtml, VFyWg_Nc8lkh(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x8a\xfcc\x8d'), chr(0b11101 + 0o107) + chr(8775 - 8674) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000)), w0AIslGCzF2k))
else:
CRm8xD274Xgy = oqhJDdMJfuwx.path.join(JsZ36NJUqtml, VFyWg_Nc8lkh(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x9d\xee~'), chr(0b1100100) + '\x65' + '\x63' + chr(6755 - 6644) + chr(0b1001100 + 0o30) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\146' + chr(123 - 78) + chr(56)), Mry5XRUQPOVn))
if (Mry5XRUQPOVn == xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x99\xad'), '\144' + chr(6087 - 5986) + '\143' + chr(0b1101111) + chr(0b10000 + 0o124) + chr(101))('\x75' + chr(5117 - 5001) + '\146' + '\x2d' + '\070') or UYiZg7GeiDO0) and (not xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x80\xf4y\x97\xe3'), chr(100) + chr(0b1100 + 0o131) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b110 + 0o137))(chr(0b1001111 + 0o46) + chr(116) + chr(9662 - 9560) + chr(0b1101 + 0o40) + chr(0b111000)))(xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x97\xf4d'), '\144' + '\x65' + '\x63' + chr(0b111 + 0o150) + '\144' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100110) + '\x2d' + chr(2842 - 2786)))(JsZ36NJUqtml, CRm8xD274Xgy))):
I28HrhEtn0p6(JsZ36NJUqtml, CRm8xD274Xgy, XqbfPmad1kJ4)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\xcf\xd5r\x96\xf3\xcc\xc1\xf9\xf3\xf1\x83'), '\144' + chr(8996 - 8895) + chr(1305 - 1206) + '\x6f' + '\x64' + chr(0b1100101))('\x75' + '\164' + chr(0b1010110 + 0o20) + chr(45) + chr(0b10 + 0o66)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\x99\xefy\x8a\xfe\xcc\xd6\xb6\xec\x8b\x81\xb91\x05/\x82\xfb\xb9\x13]+2\xc9\xb0p\xf8\x91\xbc\xf4O\xe9\xc7\xd9LE\xd9C\xb22\x9f\x8b\xb3$\xcd'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\x6f' + '\144' + chr(101))('\x75' + '\164' + '\x66' + chr(0b101101) + '\x38'), CRm8xD274Xgy)
c9_ANB3GHI7O = []
with xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\xbe\xf4f\x86'), '\x64' + chr(981 - 880) + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')(chr(0b1010010 + 0o43) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(990 - 934)))(CRm8xD274Xgy, mode=xafqLlk3kkUe(SXOLrMavuUCe(b'\x88'), chr(100) + chr(0b1100101) + '\x63' + chr(0b111010 + 0o65) + chr(0b1100100) + chr(2434 - 2333))(chr(8809 - 8692) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b101 + 0o63))) as EGyt1xfPT1P6:
nb6XJ8iOZMZo = []
for LycYkDpyelF6 in EGyt1xfPT1P6:
(zT87VDg2dYJA, LycYkDpyelF6) = LycYkDpyelF6.strip().split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xda'), chr(0b1100100) + chr(6356 - 6255) + '\143' + chr(10823 - 10712) + chr(5631 - 5531) + chr(0b1100010 + 0o3))(chr(0b1110101) + chr(1097 - 981) + '\x66' + chr(45) + '\x38'), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(694 - 645), 8))
if ehT0Px3KOsy9(zT87VDg2dYJA) == ehT0Px3KOsy9(chr(0b110000) + chr(6736 - 6625) + '\061', 8):
nb6XJ8iOZMZo = []
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3'), '\x64' + chr(5303 - 5202) + chr(0b1100011) + chr(0b1101111) + chr(100) + '\x65')(chr(117) + chr(0b111101 + 0o67) + chr(102) + '\x2d' + chr(0b101 + 0o63)) in LycYkDpyelF6:
(hiLkQHDHvP4B, _aygkdacRfLD, VNGQdHSFPrso) = LycYkDpyelF6.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3'), chr(224 - 124) + '\145' + '\x63' + chr(111) + chr(100) + chr(0b1011100 + 0o11))(chr(0b1111 + 0o146) + chr(116) + chr(0b1100110) + '\x2d' + '\070'))
hiLkQHDHvP4B = V1Cr3u5aheH4(hiLkQHDHvP4B)
b22_nJvWJSrU = [vGrByMSYMp9h for vGrByMSYMp9h in nb6XJ8iOZMZo if vGrByMSYMp9h]
_aygkdacRfLD = Kzr_OiwGnWVx(_aygkdacRfLD)
SsX6bRqJdu1L = {cIM9WxSkpvZy.STORY: b22_nJvWJSrU, cIM9WxSkpvZy.QUESTION: hiLkQHDHvP4B, cIM9WxSkpvZy.ANSWER: _aygkdacRfLD}
xafqLlk3kkUe(c9_ANB3GHI7O, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x88\xedo\x8d\xf4'), chr(0b1000001 + 0o43) + '\145' + chr(0b1100011) + chr(3427 - 3316) + chr(2781 - 2681) + chr(0b1100101))(chr(0b1010100 + 0o41) + chr(0b111110 + 0o66) + '\146' + '\055' + '\070'))(SsX6bRqJdu1L)
xafqLlk3kkUe(nb6XJ8iOZMZo, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x88\xedo\x8d\xf4'), '\144' + chr(0b11101 + 0o110) + chr(0b1100011) + chr(3733 - 3622) + '\x64' + chr(0b1100101))(chr(2900 - 2783) + '\164' + '\146' + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b11111 + 0o105) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(100) + chr(0b10001 + 0o124))('\x75' + chr(0b100101 + 0o117) + chr(0b111011 + 0o53) + chr(0b101101) + '\x38'))
else:
xafqLlk3kkUe(nb6XJ8iOZMZo, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x88\xedo\x8d\xf4'), '\x64' + chr(5456 - 5355) + chr(99) + '\x6f' + chr(0b1010001 + 0o23) + '\x65')('\165' + chr(7128 - 7012) + chr(0b101000 + 0o76) + '\055' + chr(56)))(V1Cr3u5aheH4(LycYkDpyelF6))
return c9_ANB3GHI7O
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/babi_qa.py
|
_register_babi_problems
|
def _register_babi_problems():
"""It dynamically instantiates a class for each babi subsets-tasks.
@registry.register_problem
class BabiQaConcatAllTasks_10k(EditSequenceRegexProblem):
@property
def babi_task_id(self):
return "qa0"
@property
def babi_subset(self):
return "en-10k"
It does not put the classes into the global namespace, so to access the class
we rely on the registry or this module"s REGISTERED_PROBLEMS list.
It will be available as
registry.problem("babi_qa_concat_all_tasks_10k")
i.e., change camel case to snake case. Numbers are considered lower case
characters for these purposes.
"""
for (subset, subset_suffix) in [("en", "_1k"), ("en-10k", "_10k")]:
for problem_name, babi_task_id in six.iteritems(_problems_to_register()):
problem_class = type("BabiQaConcat" + problem_name + subset_suffix,
(BabiQaConcat,), {
"babi_task_id": babi_task_id,
"babi_subset": subset
})
registry.register_problem(problem_class)
REGISTERED_PROBLEMS.append(problem_class.name)
|
python
|
def _register_babi_problems():
"""It dynamically instantiates a class for each babi subsets-tasks.
@registry.register_problem
class BabiQaConcatAllTasks_10k(EditSequenceRegexProblem):
@property
def babi_task_id(self):
return "qa0"
@property
def babi_subset(self):
return "en-10k"
It does not put the classes into the global namespace, so to access the class
we rely on the registry or this module"s REGISTERED_PROBLEMS list.
It will be available as
registry.problem("babi_qa_concat_all_tasks_10k")
i.e., change camel case to snake case. Numbers are considered lower case
characters for these purposes.
"""
for (subset, subset_suffix) in [("en", "_1k"), ("en-10k", "_10k")]:
for problem_name, babi_task_id in six.iteritems(_problems_to_register()):
problem_class = type("BabiQaConcat" + problem_name + subset_suffix,
(BabiQaConcat,), {
"babi_task_id": babi_task_id,
"babi_subset": subset
})
registry.register_problem(problem_class)
REGISTERED_PROBLEMS.append(problem_class.name)
|
[
"def",
"_register_babi_problems",
"(",
")",
":",
"for",
"(",
"subset",
",",
"subset_suffix",
")",
"in",
"[",
"(",
"\"en\"",
",",
"\"_1k\"",
")",
",",
"(",
"\"en-10k\"",
",",
"\"_10k\"",
")",
"]",
":",
"for",
"problem_name",
",",
"babi_task_id",
"in",
"six",
".",
"iteritems",
"(",
"_problems_to_register",
"(",
")",
")",
":",
"problem_class",
"=",
"type",
"(",
"\"BabiQaConcat\"",
"+",
"problem_name",
"+",
"subset_suffix",
",",
"(",
"BabiQaConcat",
",",
")",
",",
"{",
"\"babi_task_id\"",
":",
"babi_task_id",
",",
"\"babi_subset\"",
":",
"subset",
"}",
")",
"registry",
".",
"register_problem",
"(",
"problem_class",
")",
"REGISTERED_PROBLEMS",
".",
"append",
"(",
"problem_class",
".",
"name",
")"
] |
It dynamically instantiates a class for each babi subsets-tasks.
@registry.register_problem
class BabiQaConcatAllTasks_10k(EditSequenceRegexProblem):
@property
def babi_task_id(self):
return "qa0"
@property
def babi_subset(self):
return "en-10k"
It does not put the classes into the global namespace, so to access the class
we rely on the registry or this module"s REGISTERED_PROBLEMS list.
It will be available as
registry.problem("babi_qa_concat_all_tasks_10k")
i.e., change camel case to snake case. Numbers are considered lower case
characters for these purposes.
|
[
"It",
"dynamically",
"instantiates",
"a",
"class",
"for",
"each",
"babi",
"subsets",
"-",
"tasks",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/babi_qa.py#L510-L539
|
train
|
This function creates a class for each babi subsets - tasks.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b110110) + '\x31', 46018 - 46010), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b110101 + 0o72) + chr(0b110001) + chr(0b110101) + chr(49), 10770 - 10762), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(265 - 214) + chr(48), 41249 - 41241), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(50) + chr(49) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(52) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(274 - 221) + chr(50), 18507 - 18499), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1942 - 1888) + chr(0b1101 + 0o45), 6744 - 6736), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b111 + 0o54) + chr(0b110001) + chr(55), 57587 - 57579), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1426 - 1374) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\x37' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b110111) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1100110 + 0o11) + chr(2290 - 2240) + chr(0b110110 + 0o0), 0b1000), ehT0Px3KOsy9(chr(1894 - 1846) + chr(0b1100100 + 0o13) + chr(50) + chr(0b10101 + 0o42) + chr(1184 - 1129), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(50) + chr(538 - 489) + chr(0b100110 + 0o13), 8), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(287 - 233) + chr(53), 30130 - 30122), ehT0Px3KOsy9('\x30' + chr(0b10111 + 0o130) + chr(0b100110 + 0o14) + chr(2465 - 2412) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\065' + chr(1458 - 1408), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\x32' + '\x34', 38581 - 38573), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1564 - 1515) + chr(0b110111) + '\x31', 34483 - 34475), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(49) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\061' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b11000 + 0o34) + chr(1233 - 1180), 0b1000), ehT0Px3KOsy9(chr(1613 - 1565) + chr(0b1101111) + chr(0b101001 + 0o12) + chr(0b11 + 0o60), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\x30' + chr(903 - 851), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x33' + chr(352 - 301), 1869 - 1861), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(50) + chr(48) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(1023 - 912) + chr(0b110011) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + '\063' + chr(54) + chr(1329 - 1277), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(1838 - 1783) + chr(0b101001 + 0o11), 55533 - 55525), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(0b11111 + 0o22) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b11111 + 0o120) + chr(50) + chr(0b110111) + chr(0b110000 + 0o5), 0b1000), ehT0Px3KOsy9(chr(1034 - 986) + chr(0b1101111) + chr(49) + chr(0b110100) + '\061', 38690 - 38682), ehT0Px3KOsy9(chr(48) + chr(3726 - 3615) + '\061' + chr(0b110001) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10111 + 0o130) + chr(0b10000 + 0o41) + '\x34' + '\062', 62353 - 62345), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110101), 20837 - 20829), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1483 - 1434) + chr(51) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1895 - 1846), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2940 - 2829) + chr(0b100000 + 0o23) + chr(0b110001) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10000 + 0o46) + chr(352 - 302), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(1200 - 1145) + '\060', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1100010 + 0o15) + '\065' + chr(0b1000 + 0o50), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f'), '\x64' + '\145' + '\x63' + chr(8660 - 8549) + chr(2841 - 2741) + '\145')(chr(117) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WC7Gmjr3EeF0():
for (GKGXFKoBb2qK, OOjTB8d2fjry) in [(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\x07'), '\x64' + chr(0b1000010 + 0o43) + chr(99) + '\157' + '\x64' + chr(0b1100101))(chr(117) + chr(116) + chr(9875 - 9773) + chr(712 - 667) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xeeXs'), chr(0b1100100) + chr(101) + chr(1079 - 980) + '\157' + chr(100) + '\x65')('\x75' + chr(8518 - 8402) + chr(102) + '\x2d' + chr(2695 - 2639))), (xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\x075\xb8P\x81'), chr(100) + chr(0b1100101) + chr(0b1001010 + 0o31) + '\157' + chr(6706 - 6606) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(851 - 806) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xeeX(\xe2'), chr(1769 - 1669) + chr(101) + chr(5722 - 5623) + '\x6f' + chr(6947 - 6847) + chr(0b1000000 + 0o45))('\165' + chr(0b1011011 + 0o31) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))]:
for (wezGpYDorAsK, Mry5XRUQPOVn) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\x1d}\xfb\t\x9eW\xa2Q'), '\x64' + chr(8361 - 8260) + chr(0b1100011) + chr(9853 - 9742) + chr(100) + chr(101))(chr(0b1110101) + '\164' + '\146' + '\055' + '\x38'))(nOWs3DXvGVcE()):
hrtIE_ionQQ4 = wmQmyeWBmUpv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\x08z\xe01\x8bq\xa0L\x1b\x1ab'), '\144' + chr(0b1001101 + 0o30) + '\143' + chr(111) + chr(0b100000 + 0o104) + '\145')('\165' + '\164' + chr(0b11110 + 0o110) + chr(0b110 + 0o47) + '\070') + wezGpYDorAsK + OOjTB8d2fjry, (l9iSFDcYDHH0,), {xafqLlk3kkUe(SXOLrMavuUCe(b"\xd3\x08z\xe0?\x9eS\xbcI'\x12r"), chr(100) + '\x65' + chr(0b111 + 0o134) + chr(5488 - 5377) + chr(5713 - 5613) + chr(101))(chr(117) + chr(0b1110100) + chr(0b100010 + 0o104) + chr(0b101101) + '\x38'): Mry5XRUQPOVn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\x08z\xe0?\x99G\xadQ\x1d\x0f'), chr(0b101110 + 0o66) + chr(1122 - 1021) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1010 + 0o133))(chr(0b1110101) + '\x74' + chr(2753 - 2651) + chr(0b101101) + chr(0b100001 + 0o27)): GKGXFKoBb2qK})
xafqLlk3kkUe(U24OBsRcVqkJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\x0c\x7f\xe0\x13\x9eW\xbd}\x08\ty\xdd\xe5P\xc7'), '\144' + chr(6055 - 5954) + chr(0b1100011) + '\x6f' + chr(100) + chr(2455 - 2354))(chr(117) + '\164' + chr(0b1100110) + '\x2d' + chr(2097 - 2041)))(hrtIE_ionQQ4)
xafqLlk3kkUe(n5jW2VVkK9l2, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\x19h\xec\x0e\x8e'), chr(4480 - 4380) + chr(0b1100101) + chr(0b1001001 + 0o32) + chr(111) + '\x64' + chr(6602 - 6501))('\165' + '\x74' + chr(1279 - 1177) + chr(322 - 277) + '\070'))(xafqLlk3kkUe(hrtIE_ionQQ4, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0 n\xc32\x90~\xabf\x1e\x1cP'), chr(0b1100100) + chr(3725 - 3624) + '\x63' + '\x6f' + chr(0b1100100) + chr(101))(chr(0b10110 + 0o137) + chr(0b1110100) + chr(0b1000100 + 0o42) + chr(45) + '\070')))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/babi_qa.py
|
BabiQa.get_labels_encoder
|
def get_labels_encoder(self, data_dir):
"""Builds encoder for the given class labels.
Args:
data_dir: data directory
Returns:
An encoder for class labels.
"""
label_filepath = os.path.join(data_dir, self.vocab_filename)
return text_encoder.TokenTextEncoder(label_filepath)
|
python
|
def get_labels_encoder(self, data_dir):
"""Builds encoder for the given class labels.
Args:
data_dir: data directory
Returns:
An encoder for class labels.
"""
label_filepath = os.path.join(data_dir, self.vocab_filename)
return text_encoder.TokenTextEncoder(label_filepath)
|
[
"def",
"get_labels_encoder",
"(",
"self",
",",
"data_dir",
")",
":",
"label_filepath",
"=",
"os",
".",
"path",
".",
"join",
"(",
"data_dir",
",",
"self",
".",
"vocab_filename",
")",
"return",
"text_encoder",
".",
"TokenTextEncoder",
"(",
"label_filepath",
")"
] |
Builds encoder for the given class labels.
Args:
data_dir: data directory
Returns:
An encoder for class labels.
|
[
"Builds",
"encoder",
"for",
"the",
"given",
"class",
"labels",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/babi_qa.py#L326-L336
|
train
|
Builds a encoder for the given class labels.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b110000 + 0o2) + chr(138 - 89), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(1055 - 1004) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(2465 - 2414) + chr(0b101001 + 0o16) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\x34' + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1684 - 1634) + chr(50) + '\067', 45248 - 45240), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + '\x33' + chr(49) + '\066', 0b1000), ehT0Px3KOsy9(chr(1965 - 1917) + chr(3448 - 3337) + chr(51) + chr(813 - 762) + chr(0b10001 + 0o46), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(54) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(2055 - 2001) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(611 - 563) + chr(0b1011010 + 0o25) + '\065' + chr(1349 - 1299), 24748 - 24740), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(50) + '\062' + chr(2097 - 2047), 0o10), ehT0Px3KOsy9(chr(519 - 471) + chr(0b1000110 + 0o51) + '\064' + chr(0b0 + 0o63), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10111 + 0o35) + chr(0b100011 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(49 - 1) + chr(0b1101111) + '\x31' + chr(0b0 + 0o65) + chr(0b101111 + 0o6), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100) + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\064' + chr(0b11111 + 0o22), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\x31' + chr(0b1110 + 0o45), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\x37' + chr(2443 - 2390), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + chr(51) + chr(54) + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b110110) + chr(0b10000 + 0o44), 44228 - 44220), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\063' + '\x36', 8), ehT0Px3KOsy9(chr(1489 - 1441) + '\157' + '\062' + '\x34' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + '\066' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(1835 - 1787) + chr(0b1101111) + chr(0b110011) + chr(0b110010 + 0o5) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3679 - 3568) + chr(0b10 + 0o61) + '\062', 0b1000), ehT0Px3KOsy9(chr(1605 - 1557) + chr(111) + chr(0b100010 + 0o23) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3499 - 3388) + chr(0b110011) + chr(0b100 + 0o57) + chr(2412 - 2358), 52045 - 52037), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\x33' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\066' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\x32' + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110001) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(1836 - 1787) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(1832 - 1784) + '\x6f' + '\x32' + '\x30' + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b110110) + chr(0b110010), 46292 - 46284), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(345 - 293) + chr(0b11 + 0o62), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\063' + chr(0b10100 + 0o34), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\x37' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + '\x37' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + '\061' + chr(0b110000) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\x35' + chr(48), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf'), '\144' + chr(101) + chr(99) + chr(2049 - 1938) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(4861 - 4759) + chr(606 - 561) + chr(1391 - 1335)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ERIMUEamxDkS(oVre8I6UXc3b, kVFRD544hi_1):
kD7pU2hABZ6T = oqhJDdMJfuwx.path.join(kVFRD544hi_1, oVre8I6UXc3b.vocab_filename)
return xafqLlk3kkUe(nCRDzZ_Is9fz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc51\x91\x03\xf9\x9a\xba\x08Bo\xfc@O\tBS'), chr(7275 - 7175) + chr(0b110011 + 0o62) + chr(99) + chr(5408 - 5297) + chr(0b1100100) + chr(101))(chr(117) + chr(12677 - 12561) + '\146' + '\x2d' + chr(0b111000)))(kD7pU2hABZ6T)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/babi_qa.py
|
BabiQa.generate_encoded_samples
|
def generate_encoded_samples(self, data_dir, tmp_dir, dataset_split):
"""A generator that generates samples that are encoded.
Args:
data_dir: data directory
tmp_dir: temp directory
dataset_split: dataset split
Yields:
A dict.
"""
generator = self.generate_samples(data_dir, tmp_dir, dataset_split)
encoder = self.get_or_create_vocab(data_dir, tmp_dir)
label_encoder = self.get_labels_encoder(data_dir)
for sample in generator:
inputs = encoder.encode(sample["inputs"])
inputs.append(text_encoder.EOS_ID)
context = encoder.encode(sample["context"])
context.append(text_encoder.EOS_ID)
targets = label_encoder.encode(sample["targets"])
sample["targets"] = targets
yield {"inputs": inputs, "context": context, "targets": targets}
|
python
|
def generate_encoded_samples(self, data_dir, tmp_dir, dataset_split):
"""A generator that generates samples that are encoded.
Args:
data_dir: data directory
tmp_dir: temp directory
dataset_split: dataset split
Yields:
A dict.
"""
generator = self.generate_samples(data_dir, tmp_dir, dataset_split)
encoder = self.get_or_create_vocab(data_dir, tmp_dir)
label_encoder = self.get_labels_encoder(data_dir)
for sample in generator:
inputs = encoder.encode(sample["inputs"])
inputs.append(text_encoder.EOS_ID)
context = encoder.encode(sample["context"])
context.append(text_encoder.EOS_ID)
targets = label_encoder.encode(sample["targets"])
sample["targets"] = targets
yield {"inputs": inputs, "context": context, "targets": targets}
|
[
"def",
"generate_encoded_samples",
"(",
"self",
",",
"data_dir",
",",
"tmp_dir",
",",
"dataset_split",
")",
":",
"generator",
"=",
"self",
".",
"generate_samples",
"(",
"data_dir",
",",
"tmp_dir",
",",
"dataset_split",
")",
"encoder",
"=",
"self",
".",
"get_or_create_vocab",
"(",
"data_dir",
",",
"tmp_dir",
")",
"label_encoder",
"=",
"self",
".",
"get_labels_encoder",
"(",
"data_dir",
")",
"for",
"sample",
"in",
"generator",
":",
"inputs",
"=",
"encoder",
".",
"encode",
"(",
"sample",
"[",
"\"inputs\"",
"]",
")",
"inputs",
".",
"append",
"(",
"text_encoder",
".",
"EOS_ID",
")",
"context",
"=",
"encoder",
".",
"encode",
"(",
"sample",
"[",
"\"context\"",
"]",
")",
"context",
".",
"append",
"(",
"text_encoder",
".",
"EOS_ID",
")",
"targets",
"=",
"label_encoder",
".",
"encode",
"(",
"sample",
"[",
"\"targets\"",
"]",
")",
"sample",
"[",
"\"targets\"",
"]",
"=",
"targets",
"yield",
"{",
"\"inputs\"",
":",
"inputs",
",",
"\"context\"",
":",
"context",
",",
"\"targets\"",
":",
"targets",
"}"
] |
A generator that generates samples that are encoded.
Args:
data_dir: data directory
tmp_dir: temp directory
dataset_split: dataset split
Yields:
A dict.
|
[
"A",
"generator",
"that",
"generates",
"samples",
"that",
"are",
"encoded",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/babi_qa.py#L364-L386
|
train
|
A generator that generates samples that are encoded.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\065' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + '\x32' + '\x30' + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(0b10001 + 0o42) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1401 - 1290) + chr(0b100111 + 0o13) + chr(2269 - 2218) + chr(52), 0o10), ehT0Px3KOsy9(chr(1296 - 1248) + chr(0b1101111) + chr(51) + chr(0b1101 + 0o50) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3214 - 3103) + chr(0b110011) + chr(52) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(8026 - 7915) + chr(0b110111 + 0o0) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11662 - 11551) + '\x34' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(587 - 532) + chr(0b1110 + 0o44), 9646 - 9638), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b110010) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001 + 0o146) + chr(0b110010) + chr(231 - 177) + '\x36', 0o10), ehT0Px3KOsy9(chr(420 - 372) + chr(111) + '\061' + chr(52) + chr(53), 36264 - 36256), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b110101) + '\x35', 45598 - 45590), ehT0Px3KOsy9(chr(2018 - 1970) + '\157' + chr(0b110010) + '\x35' + '\x35', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(2471 - 2420) + '\062' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b110111) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(693 - 642) + chr(611 - 559) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1691 - 1642) + chr(50) + chr(0b10101 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1000011 + 0o54) + '\061' + chr(51) + chr(53), 0o10), ehT0Px3KOsy9(chr(622 - 574) + '\x6f' + chr(51) + chr(0b1001 + 0o55) + chr(824 - 772), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000 + 0o1) + chr(54) + chr(1976 - 1926), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5281 - 5170) + '\061' + chr(0b100010 + 0o16) + chr(301 - 247), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b10010 + 0o37), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b101001 + 0o16) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(0b110001) + chr(0b110111) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1549 - 1501) + chr(0b1101111) + chr(0b101000 + 0o13) + '\x32' + chr(760 - 712), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(0b100110 + 0o15) + '\x31' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1858 - 1810) + chr(4506 - 4395) + '\x36' + chr(51), 57513 - 57505), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b110001) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1819 - 1768) + chr(49) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(2537 - 2486) + chr(1714 - 1660), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110100) + chr(48), 8), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b110011) + chr(49) + chr(1695 - 1646), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101100 + 0o3) + '\061' + '\x33' + '\061', 56766 - 56758), ehT0Px3KOsy9(chr(0b110000) + chr(6317 - 6206) + chr(51) + chr(53) + chr(0b110011), 20247 - 20239), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + '\x32' + chr(598 - 550) + chr(0b100110 + 0o14), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(0b110010) + '\063' + chr(52), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1 + 0o62) + chr(0b110001) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1010 + 0o145) + chr(0b100110 + 0o15) + chr(1934 - 1879) + chr(0b110100), 10823 - 10815), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(3780 - 3669) + chr(50) + chr(0b101000 + 0o11) + chr(0b110000), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110101) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x83'), chr(100) + chr(1057 - 956) + chr(0b1100011) + '\x6f' + chr(0b1001100 + 0o30) + '\x65')(chr(117) + '\164' + chr(1194 - 1092) + '\x2d' + chr(0b1100 + 0o54)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def JOzOlqoUuHH5(oVre8I6UXc3b, kVFRD544hi_1, JsZ36NJUqtml, XqbfPmad1kJ4):
bTFcxMKbQoFz = oVre8I6UXc3b.generate_samples(kVFRD544hi_1, JsZ36NJUqtml, XqbfPmad1kJ4)
hoK3K1TwFlkr = oVre8I6UXc3b.get_or_create_vocab(kVFRD544hi_1, JsZ36NJUqtml)
nE4HxsHyFPYC = oVre8I6UXc3b.get_labels_encoder(kVFRD544hi_1)
for aBu4gMMQp6Jg in bTFcxMKbQoFz:
vXoupepMtCXU = hoK3K1TwFlkr.encode(aBu4gMMQp6Jg[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\xeai\xe9\x9c\x96'), '\144' + '\145' + '\143' + '\157' + '\x64' + chr(0b1100101))(chr(0b1110101) + '\x74' + '\x66' + chr(0b100101 + 0o10) + '\070')])
xafqLlk3kkUe(vXoupepMtCXU, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xf4i\xf9\x86\x81'), chr(100) + chr(101) + chr(99) + chr(0b101011 + 0o104) + '\144' + '\145')('\165' + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(nCRDzZ_Is9fz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xcbJ\xc3\xa1\xa1'), chr(100) + '\145' + '\x63' + '\157' + '\x64' + chr(5494 - 5393))(chr(3490 - 3373) + '\x74' + '\x66' + chr(45) + '\x38')))
vUUG4_3aIqQC = hoK3K1TwFlkr.encode(aBu4gMMQp6Jg[xafqLlk3kkUe(SXOLrMavuUCe(b'\xce\xebw\xe8\x8d\x9dM'), chr(0b11000 + 0o114) + chr(0b1100101) + chr(8257 - 8158) + chr(8387 - 8276) + '\x64' + chr(0b1011101 + 0o10))(chr(0b1110101) + chr(116) + '\x66' + chr(45) + '\070')])
xafqLlk3kkUe(vUUG4_3aIqQC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xf4i\xf9\x86\x81'), chr(0b1100100) + chr(0b111101 + 0o50) + chr(5523 - 5424) + '\157' + chr(0b1100100) + chr(10170 - 10069))(chr(117) + chr(10045 - 9929) + chr(8626 - 8524) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(nCRDzZ_Is9fz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xcbJ\xc3\xa1\xa1'), '\x64' + chr(8860 - 8759) + chr(0b1100011) + chr(0b1101111) + chr(0b110110 + 0o56) + '\145')(chr(8024 - 7907) + chr(116) + chr(102) + chr(0b110 + 0o47) + '\x38')))
xIEmRseySp3z = nE4HxsHyFPYC.encode(aBu4gMMQp6Jg[xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9\xe5k\xfb\x8d\x91J'), chr(100) + chr(7334 - 7233) + '\143' + chr(8590 - 8479) + chr(0b1100100) + chr(2019 - 1918))(chr(0b1110101) + '\164' + chr(4601 - 4499) + chr(1110 - 1065) + '\070')])
aBu4gMMQp6Jg[xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9\xe5k\xfb\x8d\x91J'), chr(0b1010010 + 0o22) + chr(0b1000010 + 0o43) + chr(0b110 + 0o135) + chr(0b1101111) + '\x64' + chr(101))(chr(2646 - 2529) + chr(116) + chr(1061 - 959) + chr(0b11100 + 0o21) + chr(56))] = xIEmRseySp3z
yield {xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\xeai\xe9\x9c\x96'), '\144' + chr(0b110100 + 0o61) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(102) + chr(1660 - 1615) + chr(0b111000)): vXoupepMtCXU, xafqLlk3kkUe(SXOLrMavuUCe(b'\xce\xebw\xe8\x8d\x9dM'), chr(0b1 + 0o143) + chr(0b110111 + 0o56) + chr(0b1100011) + '\x6f' + chr(100) + chr(101))(chr(0b1100100 + 0o21) + '\164' + chr(0b1100110) + chr(0b101101) + chr(633 - 577)): vUUG4_3aIqQC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9\xe5k\xfb\x8d\x91J'), '\x64' + '\x65' + '\143' + '\x6f' + '\x64' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38'): xIEmRseySp3z}
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/babi_qa.py
|
BabiQa.feature_encoders
|
def feature_encoders(self, data_dir):
"""Return a dict for encoding and decoding inference input/output.
Args:
data_dir: data directory
Returns:
A dict of <feature name, TextEncoder>.
"""
encoders = (super(BabiQa, self).feature_encoders(data_dir))
label_encoder = self.get_labels_encoder(data_dir)
encoders["targets"] = label_encoder # bAbi as a classification task
return encoders
|
python
|
def feature_encoders(self, data_dir):
"""Return a dict for encoding and decoding inference input/output.
Args:
data_dir: data directory
Returns:
A dict of <feature name, TextEncoder>.
"""
encoders = (super(BabiQa, self).feature_encoders(data_dir))
label_encoder = self.get_labels_encoder(data_dir)
encoders["targets"] = label_encoder # bAbi as a classification task
return encoders
|
[
"def",
"feature_encoders",
"(",
"self",
",",
"data_dir",
")",
":",
"encoders",
"=",
"(",
"super",
"(",
"BabiQa",
",",
"self",
")",
".",
"feature_encoders",
"(",
"data_dir",
")",
")",
"label_encoder",
"=",
"self",
".",
"get_labels_encoder",
"(",
"data_dir",
")",
"encoders",
"[",
"\"targets\"",
"]",
"=",
"label_encoder",
"# bAbi as a classification task",
"return",
"encoders"
] |
Return a dict for encoding and decoding inference input/output.
Args:
data_dir: data directory
Returns:
A dict of <feature name, TextEncoder>.
|
[
"Return",
"a",
"dict",
"for",
"encoding",
"and",
"decoding",
"inference",
"input",
"/",
"output",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/babi_qa.py#L388-L401
|
train
|
Return a dict for encoding and decoding inference input and output.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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) + '\061' + '\x31' + chr(0b111 + 0o60), 0o10), ehT0Px3KOsy9(chr(2279 - 2231) + chr(0b1001101 + 0o42) + chr(51) + '\x31' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1843 - 1793) + chr(0b110010 + 0o4) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + chr(49) + chr(0b110010 + 0o3) + chr(1622 - 1574), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\062' + chr(0b110011 + 0o4), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(1581 - 1530) + chr(48), 4678 - 4670), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(0b110011) + chr(0b101000 + 0o13) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(857 - 804) + chr(1259 - 1210), 0o10), ehT0Px3KOsy9(chr(1080 - 1032) + chr(11389 - 11278) + chr(2621 - 2569) + chr(1911 - 1861), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3720 - 3609) + chr(168 - 119) + chr(0b110011) + chr(50), 43379 - 43371), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10000 + 0o41) + chr(0b110000) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\x37' + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101110 + 0o101) + '\062' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(0b110010) + chr(49) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(495 - 446) + '\x30' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3140 - 3029) + '\x31' + chr(0b1110 + 0o43) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\063' + '\x31' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(2048 - 2000) + '\157' + '\x32' + chr(0b0 + 0o66) + chr(910 - 859), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x30' + chr(356 - 307), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\066' + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b11 + 0o56) + chr(2225 - 2174) + chr(88 - 35), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(333 - 283) + '\061' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(9197 - 9086) + '\x32' + chr(0b110111) + chr(51), 359 - 351), ehT0Px3KOsy9('\060' + chr(432 - 321) + '\062' + chr(0b110101) + chr(0b110001 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(1856 - 1808) + chr(111) + '\x32' + chr(0b110110) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1999 - 1888) + '\064' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(3153 - 3042) + '\x31' + chr(0b110001) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b110010) + '\064' + '\x31', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\061' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1399 - 1350) + chr(0b110011) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4108 - 3997) + chr(0b110101) + chr(0b101100 + 0o11), 0o10), ehT0Px3KOsy9(chr(946 - 898) + chr(0b1101111) + chr(52) + chr(535 - 486), 20607 - 20599), ehT0Px3KOsy9(chr(2303 - 2255) + chr(111) + chr(0b101110 + 0o4) + chr(1394 - 1344) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(851 - 800) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b110100) + chr(2050 - 1995), 54959 - 54951), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b101101 + 0o6) + chr(0b10111 + 0o34), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000 + 0o5) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + chr(50) + chr(0b10110 + 0o36) + chr(1767 - 1718), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(52) + chr(0b110100), 2925 - 2917)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(4347 - 4236) + chr(0b11111 + 0o26) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'a'), '\144' + chr(0b1 + 0o144) + chr(0b1000110 + 0o35) + chr(0b1001010 + 0o45) + chr(2223 - 2123) + '\145')('\x75' + '\164' + chr(102) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def s0rSWrAuQyn7(oVre8I6UXc3b, kVFRD544hi_1):
eY3hiWLaPZXu = KNx0Ujaz9UM0(YeL7ott5sEKp, oVre8I6UXc3b).feature_encoders(kVFRD544hi_1)
nE4HxsHyFPYC = oVre8I6UXc3b.get_labels_encoder(kVFRD544hi_1)
eY3hiWLaPZXu[xafqLlk3kkUe(SXOLrMavuUCe(b';\xab\xc5\x0f2\xec\xaf'), chr(232 - 132) + '\145' + '\143' + '\x6f' + chr(100) + chr(3227 - 3126))(chr(117) + '\x74' + chr(0b100101 + 0o101) + chr(326 - 281) + chr(56))] = nE4HxsHyFPYC
return eY3hiWLaPZXu
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/babi_qa.py
|
BabiQa.hparams
|
def hparams(self, defaults, unused_model_hparams):
"""Returns problem_hparams.
Args:
defaults: default hyperparameters
unused_model_hparams: model hyperparameters
"""
(super(BabiQa, self).hparams(defaults, unused_model_hparams))
p = defaults
num_classes = self._encoders["targets"].vocab_size
p.modality = {"targets": modalities.ModalityType.CLASS_LABEL}
p.vocab_size = {"targets": num_classes}
|
python
|
def hparams(self, defaults, unused_model_hparams):
"""Returns problem_hparams.
Args:
defaults: default hyperparameters
unused_model_hparams: model hyperparameters
"""
(super(BabiQa, self).hparams(defaults, unused_model_hparams))
p = defaults
num_classes = self._encoders["targets"].vocab_size
p.modality = {"targets": modalities.ModalityType.CLASS_LABEL}
p.vocab_size = {"targets": num_classes}
|
[
"def",
"hparams",
"(",
"self",
",",
"defaults",
",",
"unused_model_hparams",
")",
":",
"(",
"super",
"(",
"BabiQa",
",",
"self",
")",
".",
"hparams",
"(",
"defaults",
",",
"unused_model_hparams",
")",
")",
"p",
"=",
"defaults",
"num_classes",
"=",
"self",
".",
"_encoders",
"[",
"\"targets\"",
"]",
".",
"vocab_size",
"p",
".",
"modality",
"=",
"{",
"\"targets\"",
":",
"modalities",
".",
"ModalityType",
".",
"CLASS_LABEL",
"}",
"p",
".",
"vocab_size",
"=",
"{",
"\"targets\"",
":",
"num_classes",
"}"
] |
Returns problem_hparams.
Args:
defaults: default hyperparameters
unused_model_hparams: model hyperparameters
|
[
"Returns",
"problem_hparams",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/babi_qa.py#L417-L429
|
train
|
Returns problem_hparams.
.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100101 + 0o17) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(2094 - 2039) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(2122 - 2074) + chr(0b1101111) + '\062' + chr(298 - 245) + chr(53), 47449 - 47441), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b111111 + 0o60) + '\063' + chr(0b11001 + 0o35) + chr(2372 - 2317), 54629 - 54621), ehT0Px3KOsy9('\x30' + '\157' + chr(781 - 731) + '\x37' + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101 + 0o152) + chr(0b110010) + chr(0b110001) + chr(0b110001), 6900 - 6892), ehT0Px3KOsy9(chr(1460 - 1412) + '\x6f' + chr(50) + chr(52) + '\062', 9241 - 9233), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b11001 + 0o32), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2643 - 2532) + chr(0b1100 + 0o45) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b10 + 0o61), 8), ehT0Px3KOsy9(chr(373 - 325) + chr(404 - 293) + chr(0b110001) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(9415 - 9304) + chr(0b110001) + chr(1452 - 1403) + chr(0b11000 + 0o35), 0o10), ehT0Px3KOsy9(chr(872 - 824) + chr(8523 - 8412) + chr(51) + '\066' + chr(1511 - 1463), 0o10), ehT0Px3KOsy9('\060' + chr(11799 - 11688) + chr(2358 - 2307) + '\x33' + chr(1231 - 1180), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6319 - 6208) + chr(51) + '\x37', 63751 - 63743), ehT0Px3KOsy9('\060' + chr(111) + chr(1849 - 1799) + chr(0b0 + 0o67) + chr(0b110101), 8224 - 8216), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(10997 - 10886) + '\062' + '\060' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b1010 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1011010 + 0o25) + chr(0b110010) + '\x37', 8), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + chr(51) + chr(1924 - 1869) + chr(0b110011), 27583 - 27575), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(557 - 507) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b110011) + chr(0b110100), 4999 - 4991), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b110010) + chr(540 - 487) + chr(0b110010), 28909 - 28901), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(1772 - 1723) + chr(1306 - 1258) + chr(48), 5378 - 5370), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(0b110010) + chr(2704 - 2652), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11001 + 0o31) + '\x36' + chr(49), 35451 - 35443), ehT0Px3KOsy9(chr(0b110000) + chr(7936 - 7825) + chr(50) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x34' + chr(2146 - 2097), 7919 - 7911), ehT0Px3KOsy9(chr(319 - 271) + chr(111) + chr(2139 - 2088) + chr(402 - 354) + chr(695 - 645), 46127 - 46119), ehT0Px3KOsy9(chr(658 - 610) + '\x6f' + chr(50) + '\064' + chr(1121 - 1073), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(966 - 855) + chr(1898 - 1849) + chr(0b101 + 0o62) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(48) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10050 - 9939) + '\065' + chr(1331 - 1282), 21496 - 21488), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(297 - 248) + chr(2319 - 2270), 8), ehT0Px3KOsy9(chr(48) + chr(2064 - 1953) + '\063' + '\x34' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + '\x33' + chr(0b110011) + chr(1876 - 1825), 8), ehT0Px3KOsy9(chr(1395 - 1347) + chr(0b1010011 + 0o34) + '\062' + chr(0b110111) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\065' + chr(0b1101 + 0o45), 0b1000), ehT0Px3KOsy9(chr(826 - 778) + chr(111) + chr(0b110001) + chr(493 - 441) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + chr(1901 - 1852) + '\063' + chr(2487 - 2433), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + '\x35' + chr(48), 2755 - 2747)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c'), '\x64' + chr(101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b111000 + 0o55))(chr(13434 - 13317) + '\164' + '\x66' + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def n4ljua2gi1Pr(oVre8I6UXc3b, sRkYTJirQlN8, _PMuQOcXuEKF):
xafqLlk3kkUe(KNx0Ujaz9UM0(YeL7ott5sEKp, oVre8I6UXc3b), xafqLlk3kkUe(SXOLrMavuUCe(b'L\x8d\xc1\x9d\xcb\xe8\x90ta"_?'), chr(100) + chr(0b1 + 0o144) + '\143' + chr(0b1101111) + '\144' + chr(368 - 267))(chr(117) + chr(116) + chr(102) + '\x2d' + chr(688 - 632)))(sRkYTJirQlN8, _PMuQOcXuEKF)
UyakMW2IMFEj = sRkYTJirQlN8
i6loyAgxUM2t = oVre8I6UXc3b._encoders[xafqLlk3kkUe(SXOLrMavuUCe(b'V\xd8\xdf\x90\xdb\xfd\xd1'), '\144' + chr(7672 - 7571) + '\x63' + '\x6f' + '\x64' + chr(101))('\x75' + chr(0b1100011 + 0o21) + chr(102) + '\x2d' + '\070')].CeyMIoSyrpkQ
UyakMW2IMFEj.bYPswhysd3s2 = {xafqLlk3kkUe(SXOLrMavuUCe(b'V\xd8\xdf\x90\xdb\xfd\xd1'), chr(7377 - 7277) + chr(0b1100101) + chr(6351 - 6252) + '\x6f' + chr(2933 - 2833) + '\x65')(chr(0b1110101) + '\x74' + chr(8780 - 8678) + '\055' + chr(0b110011 + 0o5)): PuPeNl0CuqOQ.ModalityType.CLASS_LABEL}
UyakMW2IMFEj.CeyMIoSyrpkQ = {xafqLlk3kkUe(SXOLrMavuUCe(b'V\xd8\xdf\x90\xdb\xfd\xd1'), '\144' + chr(101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\145')(chr(0b1000 + 0o155) + chr(0b1000101 + 0o57) + '\x66' + '\x2d' + chr(0b111000)): i6loyAgxUM2t}
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/timeseries.py
|
TimeseriesProblem.dataset_splits
|
def dataset_splits(self):
"""Splits of data to produce and number the output shards for each."""
return [{
"split": problem.DatasetSplit.TRAIN,
"shards": self.num_train_shards,
}, {
"split": problem.DatasetSplit.EVAL,
"shards": self.num_eval_shards,
}, {
"split": problem.DatasetSplit.TEST,
"shards": self.num_test_shards,
}]
|
python
|
def dataset_splits(self):
"""Splits of data to produce and number the output shards for each."""
return [{
"split": problem.DatasetSplit.TRAIN,
"shards": self.num_train_shards,
}, {
"split": problem.DatasetSplit.EVAL,
"shards": self.num_eval_shards,
}, {
"split": problem.DatasetSplit.TEST,
"shards": self.num_test_shards,
}]
|
[
"def",
"dataset_splits",
"(",
"self",
")",
":",
"return",
"[",
"{",
"\"split\"",
":",
"problem",
".",
"DatasetSplit",
".",
"TRAIN",
",",
"\"shards\"",
":",
"self",
".",
"num_train_shards",
",",
"}",
",",
"{",
"\"split\"",
":",
"problem",
".",
"DatasetSplit",
".",
"EVAL",
",",
"\"shards\"",
":",
"self",
".",
"num_eval_shards",
",",
"}",
",",
"{",
"\"split\"",
":",
"problem",
".",
"DatasetSplit",
".",
"TEST",
",",
"\"shards\"",
":",
"self",
".",
"num_test_shards",
",",
"}",
"]"
] |
Splits of data to produce and number the output shards for each.
|
[
"Splits",
"of",
"data",
"to",
"produce",
"and",
"number",
"the",
"output",
"shards",
"for",
"each",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/timeseries.py#L49-L60
|
train
|
Splits of data to produce and number the output shards for each.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(2214 - 2164) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(9801 - 9690) + '\062' + chr(0b110111) + chr(0b110011), 51250 - 51242), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x36', 35237 - 35229), ehT0Px3KOsy9(chr(313 - 265) + '\x6f' + chr(0b100110 + 0o14) + '\x32' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(2491 - 2440), ord("\x08")), ehT0Px3KOsy9(chr(579 - 531) + chr(0b1010111 + 0o30) + '\062' + chr(0b110110) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110010) + chr(0b110000 + 0o0), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\x34' + chr(1896 - 1844), 8207 - 8199), ehT0Px3KOsy9('\x30' + chr(5969 - 5858) + chr(0b110011) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10111 + 0o130) + '\x31' + chr(0b110001) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(51) + chr(0b1001 + 0o53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(49) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(1502 - 1454) + '\157' + chr(1264 - 1213) + chr(0b110101) + chr(0b100010 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(110 - 62) + chr(0b1101111) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(50) + chr(0b110001) + chr(0b110001), 8), ehT0Px3KOsy9(chr(48) + chr(7765 - 7654) + chr(1556 - 1501) + chr(1377 - 1326), 0o10), ehT0Px3KOsy9(chr(704 - 656) + chr(0b1101111) + chr(1567 - 1518) + chr(0b100 + 0o56) + '\065', 64914 - 64906), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101000 + 0o11) + chr(1957 - 1908) + chr(0b1110 + 0o42), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010111 + 0o30) + chr(442 - 391) + chr(0b110101 + 0o1) + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\065' + chr(0b11 + 0o57), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(359 - 310) + chr(0b110000 + 0o2) + chr(0b110110), 15389 - 15381), ehT0Px3KOsy9(chr(1416 - 1368) + chr(111) + chr(1928 - 1877) + chr(241 - 186) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + '\x33' + '\067' + '\x35', 0o10), ehT0Px3KOsy9(chr(1058 - 1010) + chr(4728 - 4617) + '\x32' + chr(0b110101) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2891 - 2780) + chr(51) + '\x31' + chr(0b100101 + 0o22), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110110 + 0o71) + chr(0b100001 + 0o20) + '\063' + chr(0b110000), 48796 - 48788), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\x36' + '\065', 16254 - 16246), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x37' + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(2222 - 2172) + chr(1519 - 1468) + chr(0b1101 + 0o52), 0b1000), ehT0Px3KOsy9(chr(1284 - 1236) + '\157' + chr(0b100 + 0o57) + chr(50) + '\062', 19258 - 19250), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1100111 + 0o10) + '\061' + chr(0b11110 + 0o26), 38041 - 38033), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x31' + chr(2698 - 2644), 61880 - 61872), ehT0Px3KOsy9(chr(1873 - 1825) + '\x6f' + chr(1601 - 1550) + chr(0b110100) + chr(2766 - 2712), 43884 - 43876), ehT0Px3KOsy9(chr(48) + chr(811 - 700) + '\061' + chr(0b10 + 0o61) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(9016 - 8905) + '\063' + chr(0b110111) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + '\x32' + chr(2221 - 2166), ord("\x08")), ehT0Px3KOsy9(chr(604 - 556) + chr(0b1101111) + '\061' + chr(0b10001 + 0o37) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\x35' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1235 - 1187) + chr(0b1100 + 0o143) + chr(0b110011) + '\x34' + '\067', 58240 - 58232), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\x32' + chr(0b110100), 16801 - 16793)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + '\065' + chr(48), 73 - 65)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'y'), chr(570 - 470) + chr(101) + chr(0b1010 + 0o131) + chr(0b1101111) + chr(0b1100100) + '\145')('\x75' + '\x74' + '\146' + chr(339 - 294) + chr(2855 - 2799)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kqpTgMZ4pC7L(oVre8I6UXc3b):
return [{xafqLlk3kkUe(SXOLrMavuUCe(b'$\xcbb\xfd\x7f'), chr(0b101 + 0o137) + chr(3437 - 3336) + chr(99) + chr(111) + chr(9071 - 8971) + '\x65')(chr(10441 - 10324) + chr(3378 - 3262) + '\146' + chr(1993 - 1948) + chr(2717 - 2661)): xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\x03\xe9O\xddE'), chr(0b1100100) + chr(8188 - 8087) + '\143' + '\157' + '\144' + chr(101))(chr(0b1010101 + 0o40) + '\164' + chr(102) + chr(0b11011 + 0o22) + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'$\xd3o\xe6o\xc3'), '\144' + chr(7227 - 7126) + chr(99) + '\157' + chr(100) + '\145')('\165' + chr(0b1110100) + chr(0b1100110) + '\055' + '\x38'): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'9\xcec\xcb\x7f\xc2\xb1\rr\x13/\xe1\x8ep\xedH'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1100100) + '\145')(chr(7870 - 7753) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(56)))}, {xafqLlk3kkUe(SXOLrMavuUCe(b'$\xcbb\xfd\x7f'), '\x64' + chr(101) + chr(0b11001 + 0o112) + chr(0b1101111) + chr(0b100011 + 0o101) + '\x65')(chr(0b1110101) + '\164' + chr(0b1100110) + chr(45) + chr(0b10100 + 0o44)): xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12\xedO\xd8'), chr(8784 - 8684) + '\145' + '\143' + '\157' + '\144' + chr(0b101100 + 0o71))(chr(117) + '\x74' + '\x66' + chr(0b101101) + chr(0b111 + 0o61))), xafqLlk3kkUe(SXOLrMavuUCe(b'$\xd3o\xe6o\xc3'), chr(0b1000100 + 0o40) + chr(6853 - 6752) + '\143' + chr(0b1101111) + chr(0b10101 + 0o117) + '\145')('\x75' + chr(0b1110100) + chr(102) + '\055' + chr(0b10001 + 0o47)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'9\xcec\xcbn\xc6\xb1\x08C?4\xe8\x9df\xfa'), chr(3207 - 3107) + '\x65' + '\143' + chr(0b1101111) + chr(0b1100100) + chr(3184 - 3083))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b101011 + 0o15)))}, {xafqLlk3kkUe(SXOLrMavuUCe(b'$\xcbb\xfd\x7f'), '\144' + chr(0b1100101) + '\x63' + chr(0b111001 + 0o66) + chr(100) + '\x65')('\165' + '\164' + '\x66' + chr(0b1110 + 0o37) + '\070'): xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\x03\xfe]\xc0'), chr(100) + chr(0b100111 + 0o76) + chr(0b1100011) + chr(0b10010 + 0o135) + chr(8350 - 8250) + chr(9531 - 9430))('\165' + chr(0b1110100) + '\146' + '\x2d' + chr(0b10110 + 0o42))), xafqLlk3kkUe(SXOLrMavuUCe(b'$\xd3o\xe6o\xc3'), chr(0b101 + 0o137) + '\145' + chr(99) + '\x6f' + chr(0b1100100) + chr(101))('\x75' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(2931 - 2875)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'9\xcec\xcb\x7f\xd5\xa3\x10C?4\xe8\x9df\xfa'), chr(0b101101 + 0o67) + chr(101) + '\x63' + '\x6f' + chr(5847 - 5747) + chr(101))(chr(117) + chr(116) + '\146' + chr(0b11001 + 0o24) + chr(0b111000)))}]
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/librispeech.py
|
_collect_data
|
def _collect_data(directory, input_ext, transcription_ext):
"""Traverses directory collecting input and target files."""
# Directory from string to tuple pair of strings
# key: the filepath to a datafile including the datafile's basename. Example,
# if the datafile was "/path/to/datafile.wav" then the key would be
# "/path/to/datafile"
# value: a pair of strings (media_filepath, label)
data_files = {}
for root, _, filenames in os.walk(directory):
transcripts = [filename for filename in filenames
if transcription_ext in filename]
for transcript in transcripts:
transcript_path = os.path.join(root, transcript)
with open(transcript_path, "r") as transcript_file:
for transcript_line in transcript_file:
line_contents = transcript_line.strip().split(" ", 1)
media_base, label = line_contents
key = os.path.join(root, media_base)
assert key not in data_files
media_name = "%s.%s"%(media_base, input_ext)
media_path = os.path.join(root, media_name)
data_files[key] = (media_base, media_path, label)
return data_files
|
python
|
def _collect_data(directory, input_ext, transcription_ext):
"""Traverses directory collecting input and target files."""
# Directory from string to tuple pair of strings
# key: the filepath to a datafile including the datafile's basename. Example,
# if the datafile was "/path/to/datafile.wav" then the key would be
# "/path/to/datafile"
# value: a pair of strings (media_filepath, label)
data_files = {}
for root, _, filenames in os.walk(directory):
transcripts = [filename for filename in filenames
if transcription_ext in filename]
for transcript in transcripts:
transcript_path = os.path.join(root, transcript)
with open(transcript_path, "r") as transcript_file:
for transcript_line in transcript_file:
line_contents = transcript_line.strip().split(" ", 1)
media_base, label = line_contents
key = os.path.join(root, media_base)
assert key not in data_files
media_name = "%s.%s"%(media_base, input_ext)
media_path = os.path.join(root, media_name)
data_files[key] = (media_base, media_path, label)
return data_files
|
[
"def",
"_collect_data",
"(",
"directory",
",",
"input_ext",
",",
"transcription_ext",
")",
":",
"# Directory from string to tuple pair of strings",
"# key: the filepath to a datafile including the datafile's basename. Example,",
"# if the datafile was \"/path/to/datafile.wav\" then the key would be",
"# \"/path/to/datafile\"",
"# value: a pair of strings (media_filepath, label)",
"data_files",
"=",
"{",
"}",
"for",
"root",
",",
"_",
",",
"filenames",
"in",
"os",
".",
"walk",
"(",
"directory",
")",
":",
"transcripts",
"=",
"[",
"filename",
"for",
"filename",
"in",
"filenames",
"if",
"transcription_ext",
"in",
"filename",
"]",
"for",
"transcript",
"in",
"transcripts",
":",
"transcript_path",
"=",
"os",
".",
"path",
".",
"join",
"(",
"root",
",",
"transcript",
")",
"with",
"open",
"(",
"transcript_path",
",",
"\"r\"",
")",
"as",
"transcript_file",
":",
"for",
"transcript_line",
"in",
"transcript_file",
":",
"line_contents",
"=",
"transcript_line",
".",
"strip",
"(",
")",
".",
"split",
"(",
"\" \"",
",",
"1",
")",
"media_base",
",",
"label",
"=",
"line_contents",
"key",
"=",
"os",
".",
"path",
".",
"join",
"(",
"root",
",",
"media_base",
")",
"assert",
"key",
"not",
"in",
"data_files",
"media_name",
"=",
"\"%s.%s\"",
"%",
"(",
"media_base",
",",
"input_ext",
")",
"media_path",
"=",
"os",
".",
"path",
".",
"join",
"(",
"root",
",",
"media_name",
")",
"data_files",
"[",
"key",
"]",
"=",
"(",
"media_base",
",",
"media_path",
",",
"label",
")",
"return",
"data_files"
] |
Traverses directory collecting input and target files.
|
[
"Traverses",
"directory",
"collecting",
"input",
"and",
"target",
"files",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/librispeech.py#L63-L85
|
train
|
Traverses a directory collecting input and target files.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b110100) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11 + 0o57) + chr(0b110101) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\065' + chr(52), 731 - 723), ehT0Px3KOsy9('\x30' + chr(4533 - 4422) + '\063' + chr(2083 - 2030) + '\x32', 18868 - 18860), ehT0Px3KOsy9(chr(0b110000) + chr(5155 - 5044) + '\066' + '\062', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\x33' + chr(0b110011), 284 - 276), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\067' + '\064', 0b1000), ehT0Px3KOsy9(chr(1250 - 1202) + '\x6f' + chr(0b101111 + 0o2) + '\061' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\060' + '\062', 19961 - 19953), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b11111 + 0o21) + chr(889 - 841), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011 + 0o1), 62813 - 62805), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + '\063' + chr(280 - 229) + chr(0b10010 + 0o37), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\x34' + chr(1558 - 1508), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2336 - 2225) + '\062' + chr(0b110110) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(936 - 888) + chr(111) + chr(0b110010) + chr(50) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10542 - 10431) + chr(0b100101 + 0o14) + '\066' + '\x32', 38014 - 38006), ehT0Px3KOsy9(chr(1212 - 1164) + '\x6f' + chr(1330 - 1280) + chr(0b11001 + 0o30) + '\064', 14911 - 14903), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(197 - 146) + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(6958 - 6847) + chr(0b100101 + 0o16) + chr(0b110101) + '\062', 8), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(0b10000 + 0o42) + '\067' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(0b110111) + chr(0b110011), 21670 - 21662), ehT0Px3KOsy9(chr(48) + '\157' + chr(1590 - 1538) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1656 - 1545) + '\064' + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\060' + '\065', 32122 - 32114), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(55) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(51) + chr(0b110011), 53564 - 53556), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1675 - 1624) + '\065', 44605 - 44597), ehT0Px3KOsy9(chr(48) + chr(0b110 + 0o151) + chr(0b110 + 0o54) + '\065' + chr(954 - 905), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1001 + 0o56), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5827 - 5716) + chr(1286 - 1235) + chr(50) + chr(0b10 + 0o65), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + chr(1338 - 1285), 0o10), ehT0Px3KOsy9(chr(486 - 438) + '\x6f' + '\066' + chr(54), 0b1000), ehT0Px3KOsy9(chr(838 - 790) + '\x6f' + chr(0b110010) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + '\x33' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b110100) + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\066' + chr(500 - 452), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + '\x37', 37508 - 37500), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101110 + 0o4) + chr(0b101111 + 0o3) + chr(53), 56162 - 56154), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(573 - 524) + '\x33' + chr(55), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100101 + 0o14) + '\x34' + '\060', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(678 - 630) + chr(0b1101111) + chr(1358 - 1305) + '\x30', 20518 - 20510)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\r'), chr(0b10110 + 0o116) + '\x65' + '\143' + '\157' + '\x64' + chr(101))(chr(117) + '\x74' + chr(102) + '\055' + chr(0b101101 + 0o13)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Au6893XWGQTu(EVVr9bEHclel, UpkX53Rv1DfH, vJU_tft1QIW0):
KAyZjSEftgFC = {}
for (FiL2Xt3u2AMN, VNGQdHSFPrso, Xs6zu3BFE2Ws) in xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'T\xc9\x80\x81'), chr(100) + '\145' + chr(2607 - 2508) + chr(1431 - 1320) + '\x64' + '\x65')('\165' + chr(0b1111 + 0o145) + chr(0b1100110) + '\055' + '\070'))(EVVr9bEHclel):
UE1LSYrhErgb = [xw4DsBfIJ22E for xw4DsBfIJ22E in Xs6zu3BFE2Ws if vJU_tft1QIW0 in xw4DsBfIJ22E]
for t9Po9PFTb5At in UE1LSYrhErgb:
kqxRYCMVqvFy = oqhJDdMJfuwx.path.join(FiL2Xt3u2AMN, t9Po9PFTb5At)
with _fwkIVCGgtAN(kqxRYCMVqvFy, xafqLlk3kkUe(SXOLrMavuUCe(b'Q'), chr(8591 - 8491) + chr(7429 - 7328) + chr(0b1100011) + chr(111) + chr(0b1100100) + '\x65')('\x75' + chr(0b1110100) + chr(102) + chr(0b10100 + 0o31) + chr(0b111000))) as Gak0j_n6aQ2Z:
for CNCkC5UH_pcn in Gak0j_n6aQ2Z:
Hx_olhOJf9RM = CNCkC5UH_pcn.strip().split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x03'), '\x64' + chr(7215 - 7114) + chr(0b1100011) + '\x6f' + '\144' + chr(101))(chr(117) + chr(12165 - 12049) + '\146' + '\055' + '\070'), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49), ord("\x08")))
(yMzOSyhlU4Bj, TRUOLFLuD08x) = Hx_olhOJf9RM
K3J4ZwSlE0sT = oqhJDdMJfuwx.path.join(FiL2Xt3u2AMN, yMzOSyhlU4Bj)
assert K3J4ZwSlE0sT not in KAyZjSEftgFC
GwB9nULxQ2wf = xafqLlk3kkUe(SXOLrMavuUCe(b'\x06\xdb\xc2\xcfA'), '\144' + chr(0b1100101) + chr(99) + '\157' + chr(3943 - 3843) + chr(0b1000011 + 0o42))(chr(117) + chr(0b1001101 + 0o47) + chr(9643 - 9541) + chr(1939 - 1894) + chr(0b10101 + 0o43)) % (yMzOSyhlU4Bj, UpkX53Rv1DfH)
fXFQYTnamIr6 = oqhJDdMJfuwx.path.join(FiL2Xt3u2AMN, GwB9nULxQ2wf)
KAyZjSEftgFC[K3J4ZwSlE0sT] = (yMzOSyhlU4Bj, fXFQYTnamIr6, TRUOLFLuD08x)
return KAyZjSEftgFC
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/librispeech.py
|
add_librispeech_hparams
|
def add_librispeech_hparams(hparams):
"""Adding to base hparams the attributes for for librispeech."""
hparams.batch_size = 36
hparams.audio_compression = 8
hparams.hidden_size = 2048
hparams.max_input_seq_length = 600000
hparams.max_target_seq_length = 350
hparams.max_length = hparams.max_input_seq_length
hparams.min_length_bucket = hparams.max_input_seq_length // 2
hparams.learning_rate = 0.05
hparams.train_steps = 5000000
hparams.num_hidden_layers = 4
return hparams
|
python
|
def add_librispeech_hparams(hparams):
"""Adding to base hparams the attributes for for librispeech."""
hparams.batch_size = 36
hparams.audio_compression = 8
hparams.hidden_size = 2048
hparams.max_input_seq_length = 600000
hparams.max_target_seq_length = 350
hparams.max_length = hparams.max_input_seq_length
hparams.min_length_bucket = hparams.max_input_seq_length // 2
hparams.learning_rate = 0.05
hparams.train_steps = 5000000
hparams.num_hidden_layers = 4
return hparams
|
[
"def",
"add_librispeech_hparams",
"(",
"hparams",
")",
":",
"hparams",
".",
"batch_size",
"=",
"36",
"hparams",
".",
"audio_compression",
"=",
"8",
"hparams",
".",
"hidden_size",
"=",
"2048",
"hparams",
".",
"max_input_seq_length",
"=",
"600000",
"hparams",
".",
"max_target_seq_length",
"=",
"350",
"hparams",
".",
"max_length",
"=",
"hparams",
".",
"max_input_seq_length",
"hparams",
".",
"min_length_bucket",
"=",
"hparams",
".",
"max_input_seq_length",
"//",
"2",
"hparams",
".",
"learning_rate",
"=",
"0.05",
"hparams",
".",
"train_steps",
"=",
"5000000",
"hparams",
".",
"num_hidden_layers",
"=",
"4",
"return",
"hparams"
] |
Adding to base hparams the attributes for for librispeech.
|
[
"Adding",
"to",
"base",
"hparams",
"the",
"attributes",
"for",
"for",
"librispeech",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/librispeech.py#L261-L273
|
train
|
Adding to base hparams the attributes for librispeech.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2152 - 2104) + '\157' + chr(862 - 811) + chr(50) + chr(0b100101 + 0o16), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11 + 0o56) + chr(0b110100 + 0o1) + chr(0b1110 + 0o44), 50032 - 50024), ehT0Px3KOsy9('\x30' + chr(9138 - 9027) + chr(0b11110 + 0o24) + '\060' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + '\x36' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(2131 - 2082) + '\064' + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(5032 - 4921) + chr(0b110001) + chr(0b11101 + 0o30) + chr(2303 - 2252), 0o10), ehT0Px3KOsy9(chr(309 - 261) + chr(2968 - 2857) + chr(1835 - 1785) + chr(48) + chr(53), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(0b100001 + 0o23), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + chr(0b1101 + 0o44) + '\x33' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10256 - 10145) + chr(383 - 332) + chr(53) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(55) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1010110 + 0o31) + chr(0b1111 + 0o42) + chr(1116 - 1064), 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(0b110010) + '\060' + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1519 - 1469) + chr(49) + chr(2260 - 2211), 52266 - 52258), ehT0Px3KOsy9(chr(48) + chr(144 - 33) + '\063' + '\066' + '\x34', 0o10), ehT0Px3KOsy9(chr(2043 - 1995) + chr(0b11110 + 0o121) + chr(0b110011) + chr(53) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1568 - 1520) + '\157' + chr(0b101010 + 0o7) + chr(50), 8163 - 8155), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(50) + chr(0b110000) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + '\x31' + chr(0b110100) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\066' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\064' + chr(1252 - 1199), 0b1000), ehT0Px3KOsy9(chr(1044 - 996) + chr(111) + chr(0b11110 + 0o26), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101000 + 0o11) + '\060' + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(2600 - 2549) + chr(0b110001 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(1837 - 1785) + '\067', 28924 - 28916), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110100) + '\065', 0o10), ehT0Px3KOsy9(chr(260 - 212) + chr(0b1101111) + chr(0b100100 + 0o17) + '\060' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(1356 - 1245) + chr(0b110001) + chr(54) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(421 - 373) + '\157' + '\063' + chr(0b1 + 0o62) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b110000) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10011 + 0o36) + chr(979 - 930) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1158 - 1110) + chr(11093 - 10982) + '\x31' + chr(0b101100 + 0o6) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(73 - 25) + '\157' + chr(0b1100 + 0o45) + chr(0b110010) + chr(0b1101 + 0o52), 26724 - 26716), ehT0Px3KOsy9(chr(48) + chr(0b1000011 + 0o54) + chr(0b110010) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x36' + chr(2136 - 2082), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + chr(619 - 569) + '\x35' + chr(0b110000), 33518 - 33510), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(0b1 + 0o61) + chr(1574 - 1525) + '\x37', 52805 - 52797), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(54), 27116 - 27108), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b110000) + chr(54), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11010 + 0o31) + chr(0b110110), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1805 - 1757) + chr(0b110110 + 0o71) + chr(0b11 + 0o62) + chr(0b101000 + 0o10), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd'), chr(0b101101 + 0o67) + chr(6280 - 6179) + chr(9123 - 9024) + chr(111) + chr(0b1100100) + '\x65')(chr(6214 - 6097) + chr(0b1110100) + '\146' + chr(0b1011 + 0o42) + chr(2469 - 2413)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def pV1fsc57jsOy(n4ljua2gi1Pr):
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\060' + chr(11299 - 11188) + '\x34' + '\x34', 0b1000)
n4ljua2gi1Pr.tA64A9q2YGbd = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110000), 0o10)
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52) + '\060' + chr(0b100101 + 0o13) + chr(0b101001 + 0o7), 0b1000)
n4ljua2gi1Pr.xa50HGLsAIaS = ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(0b110010) + chr(0b11001 + 0o31) + '\x32' + chr(51) + chr(0b110000 + 0o7) + chr(48) + '\x30', ord("\x08"))
n4ljua2gi1Pr.uJutLB5DfPmB = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + chr(0b11011 + 0o30) + chr(54), 0o10)
n4ljua2gi1Pr._o7pVXAdOCRy = n4ljua2gi1Pr.xa50HGLsAIaS
n4ljua2gi1Pr.lhJm4Z32JlM2 = n4ljua2gi1Pr.xa50HGLsAIaS // ehT0Px3KOsy9(chr(0b110000) + chr(10284 - 10173) + '\062', 0o10)
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.05
n4ljua2gi1Pr.daYMko0joBwR = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1648 - 1598) + chr(51) + chr(48) + chr(0b110100) + chr(0b11111 + 0o26) + '\065' + '\x30' + chr(48), 44975 - 44967)
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110100), 8)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wsj_parsing.py
|
words_and_tags_from_wsj_tree
|
def words_and_tags_from_wsj_tree(tree_string):
"""Generates linearized trees and tokens from the wsj tree format.
It uses the linearized algorithm described in https://arxiv.org/abs/1412.7449.
Args:
tree_string: tree in wsj format
Returns:
tuple: (words, linearized tree)
"""
stack, tags, words = [], [], []
for tok in tree_string.strip().split():
if tok[0] == "(":
symbol = tok[1:]
tags.append(symbol)
stack.append(symbol)
else:
assert tok[-1] == ")"
stack.pop() # Pop the POS-tag.
while tok[-2] == ")":
tags.append("/" + stack.pop())
tok = tok[:-1]
words.append(tok[:-1])
return str.join(" ", words), str.join(" ", tags[1:-1])
|
python
|
def words_and_tags_from_wsj_tree(tree_string):
"""Generates linearized trees and tokens from the wsj tree format.
It uses the linearized algorithm described in https://arxiv.org/abs/1412.7449.
Args:
tree_string: tree in wsj format
Returns:
tuple: (words, linearized tree)
"""
stack, tags, words = [], [], []
for tok in tree_string.strip().split():
if tok[0] == "(":
symbol = tok[1:]
tags.append(symbol)
stack.append(symbol)
else:
assert tok[-1] == ")"
stack.pop() # Pop the POS-tag.
while tok[-2] == ")":
tags.append("/" + stack.pop())
tok = tok[:-1]
words.append(tok[:-1])
return str.join(" ", words), str.join(" ", tags[1:-1])
|
[
"def",
"words_and_tags_from_wsj_tree",
"(",
"tree_string",
")",
":",
"stack",
",",
"tags",
",",
"words",
"=",
"[",
"]",
",",
"[",
"]",
",",
"[",
"]",
"for",
"tok",
"in",
"tree_string",
".",
"strip",
"(",
")",
".",
"split",
"(",
")",
":",
"if",
"tok",
"[",
"0",
"]",
"==",
"\"(\"",
":",
"symbol",
"=",
"tok",
"[",
"1",
":",
"]",
"tags",
".",
"append",
"(",
"symbol",
")",
"stack",
".",
"append",
"(",
"symbol",
")",
"else",
":",
"assert",
"tok",
"[",
"-",
"1",
"]",
"==",
"\")\"",
"stack",
".",
"pop",
"(",
")",
"# Pop the POS-tag.",
"while",
"tok",
"[",
"-",
"2",
"]",
"==",
"\")\"",
":",
"tags",
".",
"append",
"(",
"\"/\"",
"+",
"stack",
".",
"pop",
"(",
")",
")",
"tok",
"=",
"tok",
"[",
":",
"-",
"1",
"]",
"words",
".",
"append",
"(",
"tok",
"[",
":",
"-",
"1",
"]",
")",
"return",
"str",
".",
"join",
"(",
"\" \"",
",",
"words",
")",
",",
"str",
".",
"join",
"(",
"\" \"",
",",
"tags",
"[",
"1",
":",
"-",
"1",
"]",
")"
] |
Generates linearized trees and tokens from the wsj tree format.
It uses the linearized algorithm described in https://arxiv.org/abs/1412.7449.
Args:
tree_string: tree in wsj format
Returns:
tuple: (words, linearized tree)
|
[
"Generates",
"linearized",
"trees",
"and",
"tokens",
"from",
"the",
"wsj",
"tree",
"format",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wsj_parsing.py#L79-L103
|
train
|
Generates a list of words and tags from a wsj tree format.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(1880 - 1832) + '\x33', 0o10), ehT0Px3KOsy9(chr(791 - 743) + chr(0b1101111) + chr(50) + chr(0b110000 + 0o6) + chr(0b110110), 37949 - 37941), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(48) + chr(1978 - 1930), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32', 48628 - 48620), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1101 + 0o45) + chr(52) + chr(53), 43055 - 43047), ehT0Px3KOsy9(chr(936 - 888) + '\157' + '\x31' + chr(54) + chr(0b111 + 0o51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(161 - 50) + chr(0b101110 + 0o4) + chr(52) + chr(1942 - 1890), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\065' + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(52) + chr(0b100011 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b110110) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11 + 0o154) + chr(0b10010 + 0o41) + chr(53) + chr(820 - 765), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + chr(50) + chr(0b110000) + '\061', 0o10), ehT0Px3KOsy9(chr(1331 - 1283) + chr(111) + chr(0b110010) + chr(0b10101 + 0o34) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(386 - 337) + chr(1610 - 1562), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b110101) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b111 + 0o54) + chr(49) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1172 - 1123) + chr(50) + '\067', 38316 - 38308), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(609 - 560) + chr(329 - 275) + '\x32', 0b1000), ehT0Px3KOsy9(chr(554 - 506) + '\157' + '\061' + chr(1756 - 1706) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(438 - 390) + chr(0b1001110 + 0o41) + chr(2210 - 2159) + chr(52) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(55) + chr(524 - 474), ord("\x08")), ehT0Px3KOsy9(chr(106 - 58) + chr(111) + chr(1089 - 1040) + chr(54) + '\x36', 44143 - 44135), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b110111) + chr(2175 - 2120), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101100 + 0o103) + chr(0b101011 + 0o10) + '\062' + '\x35', 0b1000), ehT0Px3KOsy9(chr(856 - 808) + chr(111) + chr(0b110011) + chr(0b110111) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(705 - 657) + chr(1866 - 1813), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(52) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + '\067' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(54) + chr(48), 10748 - 10740), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101 + 0o54) + '\x31' + chr(55), 48010 - 48002), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + '\062' + '\064' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(135 - 86) + '\x36' + '\x32', 8), ehT0Px3KOsy9(chr(1639 - 1591) + chr(0b110100 + 0o73) + chr(0b11101 + 0o26) + chr(0b101 + 0o56) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(595 - 547) + chr(12227 - 12116) + chr(0b110011) + '\x32' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b110110) + chr(1627 - 1572), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(53) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b11011 + 0o27) + chr(48), 0b1000), ehT0Px3KOsy9(chr(235 - 187) + chr(0b1101111) + chr(0b11111 + 0o22) + chr(52), 11375 - 11367), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(2381 - 2331) + chr(0b110100 + 0o2) + chr(0b11 + 0o56), 0o10), ehT0Px3KOsy9('\x30' + chr(818 - 707) + chr(49) + chr(0b11001 + 0o33) + chr(54), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(1243 - 1190) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xad'), chr(100) + chr(0b1011100 + 0o11) + chr(0b1100011) + '\157' + chr(100) + chr(101))(chr(4032 - 3915) + chr(0b10100 + 0o140) + '\146' + chr(0b101101) + chr(3042 - 2986)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def h6vEYw3aC7_6(W0SbvgLW3aVQ):
(rFoCQMjVYqWa, MRGa81KE7QCh, o34DiSJcu6N2) = ([], [], [])
for rQHVioaITg5m in xafqLlk3kkUe(W0SbvgLW3aVQ.strip(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xc6\xeck\xd1'), '\144' + chr(101) + chr(1137 - 1038) + '\157' + chr(0b1100100) + chr(101))(chr(0b1000110 + 0o57) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000)))():
if rQHVioaITg5m[ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000), 0b1000)] == xafqLlk3kkUe(SXOLrMavuUCe(b'\xab'), chr(0b1100100) + chr(6716 - 6615) + chr(4205 - 4106) + chr(111) + chr(0b1100100) + '\145')(chr(117) + chr(0b101101 + 0o107) + chr(0b1100110) + '\x2d' + chr(0b110 + 0o62)):
Usr5ykvL2UZF = rQHVioaITg5m[ehT0Px3KOsy9(chr(48) + chr(0b1101000 + 0o7) + '\061', 26075 - 26067):]
xafqLlk3kkUe(MRGa81KE7QCh, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xc6\xf0g\xcb\x14'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + '\144' + '\x65')(chr(117) + chr(0b11 + 0o161) + chr(102) + '\055' + chr(0b111000)))(Usr5ykvL2UZF)
xafqLlk3kkUe(rFoCQMjVYqWa, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xc6\xf0g\xcb\x14'), chr(372 - 272) + chr(5827 - 5726) + chr(0b100 + 0o137) + '\x6f' + chr(0b1001001 + 0o33) + chr(0b1100101))('\165' + '\x74' + chr(0b1010001 + 0o25) + chr(0b101101) + chr(2157 - 2101)))(Usr5ykvL2UZF)
else:
assert rQHVioaITg5m[-ehT0Px3KOsy9(chr(1615 - 1567) + chr(373 - 262) + '\x31', 8)] == xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa'), '\x64' + chr(8419 - 8318) + '\x63' + chr(0b1100001 + 0o16) + '\144' + chr(0b1100101))(chr(0b11110 + 0o127) + chr(2852 - 2736) + chr(9058 - 8956) + chr(45) + '\070')
xafqLlk3kkUe(rFoCQMjVYqWa, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xd9\xf0'), chr(100) + '\x65' + '\143' + '\x6f' + chr(0b101101 + 0o67) + '\x65')('\x75' + chr(12614 - 12498) + chr(0b1100110) + chr(0b1 + 0o54) + '\x38'))()
while rQHVioaITg5m[-ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10101 + 0o35), 8)] == xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa'), '\x64' + '\145' + chr(99) + chr(111) + chr(100) + chr(0b10 + 0o143))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\055' + chr(0b111000)):
xafqLlk3kkUe(MRGa81KE7QCh, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xc6\xf0g\xcb\x14'), chr(6378 - 6278) + chr(0b1100101) + chr(0b1000110 + 0o35) + chr(3600 - 3489) + chr(7981 - 7881) + '\145')('\x75' + chr(0b10011 + 0o141) + '\146' + chr(1498 - 1453) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xac'), '\x64' + chr(101) + '\x63' + chr(111) + chr(0b100110 + 0o76) + '\145')(chr(0b10000 + 0o145) + '\x74' + '\146' + chr(0b100001 + 0o14) + '\x38') + xafqLlk3kkUe(rFoCQMjVYqWa, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xd9\xf0'), '\144' + '\145' + chr(0b1111 + 0o124) + '\x6f' + chr(0b111 + 0o135) + '\145')(chr(0b1110101) + chr(0b1010100 + 0o40) + chr(1629 - 1527) + '\x2d' + chr(2969 - 2913)))())
rQHVioaITg5m = rQHVioaITg5m[:-ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001), 8)]
xafqLlk3kkUe(o34DiSJcu6N2, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xc6\xf0g\xcb\x14'), '\x64' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b100010 + 0o102) + '\145')(chr(0b1101000 + 0o15) + '\x74' + '\x66' + chr(1775 - 1730) + chr(56)))(rQHVioaITg5m[:-ehT0Px3KOsy9(chr(828 - 780) + chr(11762 - 11651) + chr(49), 8)])
return (xafqLlk3kkUe(M8_cKLkHVB2V, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xd9\xe9l'), '\144' + chr(3538 - 3437) + '\143' + chr(10621 - 10510) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3'), chr(0b1011101 + 0o7) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + chr(2247 - 2145) + '\055' + chr(56)), o34DiSJcu6N2), xafqLlk3kkUe(M8_cKLkHVB2V, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xd9\xe9l'), chr(100) + chr(0b100100 + 0o101) + chr(0b1100011) + chr(0b110101 + 0o72) + '\144' + chr(101))(chr(0b1110101) + chr(0b1100001 + 0o23) + '\x66' + chr(657 - 612) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3'), chr(100) + chr(3132 - 3031) + chr(0b1001011 + 0o30) + '\157' + chr(4977 - 4877) + '\x65')(chr(3764 - 3647) + '\x74' + chr(0b1001010 + 0o34) + chr(45) + '\070'), MRGa81KE7QCh[ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(578 - 529), 8):-ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(0b110001), 8)]))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wsj_parsing.py
|
token_generator
|
def token_generator(tree_path, source_token_vocab, target_token_vocab,
eos=None):
"""Generator for parsing as a sequence-to-sequence task that uses tokens.
This generator assumes the files at source_path and target_path have
the same number of lines and yields dictionaries of "inputs" and "targets"
where inputs and targets are token ids from source and target lines
converted to integers using the token_map.
Args:
tree_path: path to the file with WSJ format trees, one per line.
source_token_vocab: GenericVocabulary object for source vocabulary.
target_token_vocab: GenericVocabulary object for target vocabulary.
eos: integer to append at the end of each sequence (default: None).
Yields:
A dictionary {"inputs": source-line, "targets": target-line} where
the lines are integer lists converted from tokens in the file lines.
"""
eos_list = [] if eos is None else [eos]
with tf.gfile.GFile(tree_path, mode="r") as tree_file:
tree_line = tree_file.readline()
while tree_line:
source, target = words_and_tags_from_wsj_tree(tree_line)
source_ints = source_token_vocab.encode(source.strip()) + eos_list
target_ints = target_token_vocab.encode(target.strip()) + eos_list
yield {"inputs": source_ints, "targets": target_ints}
tree_line = tree_file.readline()
|
python
|
def token_generator(tree_path, source_token_vocab, target_token_vocab,
eos=None):
"""Generator for parsing as a sequence-to-sequence task that uses tokens.
This generator assumes the files at source_path and target_path have
the same number of lines and yields dictionaries of "inputs" and "targets"
where inputs and targets are token ids from source and target lines
converted to integers using the token_map.
Args:
tree_path: path to the file with WSJ format trees, one per line.
source_token_vocab: GenericVocabulary object for source vocabulary.
target_token_vocab: GenericVocabulary object for target vocabulary.
eos: integer to append at the end of each sequence (default: None).
Yields:
A dictionary {"inputs": source-line, "targets": target-line} where
the lines are integer lists converted from tokens in the file lines.
"""
eos_list = [] if eos is None else [eos]
with tf.gfile.GFile(tree_path, mode="r") as tree_file:
tree_line = tree_file.readline()
while tree_line:
source, target = words_and_tags_from_wsj_tree(tree_line)
source_ints = source_token_vocab.encode(source.strip()) + eos_list
target_ints = target_token_vocab.encode(target.strip()) + eos_list
yield {"inputs": source_ints, "targets": target_ints}
tree_line = tree_file.readline()
|
[
"def",
"token_generator",
"(",
"tree_path",
",",
"source_token_vocab",
",",
"target_token_vocab",
",",
"eos",
"=",
"None",
")",
":",
"eos_list",
"=",
"[",
"]",
"if",
"eos",
"is",
"None",
"else",
"[",
"eos",
"]",
"with",
"tf",
".",
"gfile",
".",
"GFile",
"(",
"tree_path",
",",
"mode",
"=",
"\"r\"",
")",
"as",
"tree_file",
":",
"tree_line",
"=",
"tree_file",
".",
"readline",
"(",
")",
"while",
"tree_line",
":",
"source",
",",
"target",
"=",
"words_and_tags_from_wsj_tree",
"(",
"tree_line",
")",
"source_ints",
"=",
"source_token_vocab",
".",
"encode",
"(",
"source",
".",
"strip",
"(",
")",
")",
"+",
"eos_list",
"target_ints",
"=",
"target_token_vocab",
".",
"encode",
"(",
"target",
".",
"strip",
"(",
")",
")",
"+",
"eos_list",
"yield",
"{",
"\"inputs\"",
":",
"source_ints",
",",
"\"targets\"",
":",
"target_ints",
"}",
"tree_line",
"=",
"tree_file",
".",
"readline",
"(",
")"
] |
Generator for parsing as a sequence-to-sequence task that uses tokens.
This generator assumes the files at source_path and target_path have
the same number of lines and yields dictionaries of "inputs" and "targets"
where inputs and targets are token ids from source and target lines
converted to integers using the token_map.
Args:
tree_path: path to the file with WSJ format trees, one per line.
source_token_vocab: GenericVocabulary object for source vocabulary.
target_token_vocab: GenericVocabulary object for target vocabulary.
eos: integer to append at the end of each sequence (default: None).
Yields:
A dictionary {"inputs": source-line, "targets": target-line} where
the lines are integer lists converted from tokens in the file lines.
|
[
"Generator",
"for",
"parsing",
"as",
"a",
"sequence",
"-",
"to",
"-",
"sequence",
"task",
"that",
"uses",
"tokens",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wsj_parsing.py#L106-L133
|
train
|
Generator for parsing as a sequence - to - sequence task that uses tokens.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110000) + chr(49), 0o10), ehT0Px3KOsy9(chr(493 - 445) + chr(0b11111 + 0o120) + chr(0b100111 + 0o20) + chr(571 - 517), 46199 - 46191), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(1108 - 1059) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(1553 - 1501) + chr(1233 - 1185), 46299 - 46291), ehT0Px3KOsy9('\060' + chr(111) + chr(1052 - 1001) + chr(556 - 501) + chr(0b11010 + 0o32), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(11489 - 11378) + chr(51) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10415 - 10304) + chr(50) + chr(55) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\066' + chr(0b110010), 59262 - 59254), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + chr(49) + chr(0b110001) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(50) + chr(0b110010) + chr(269 - 215), 32113 - 32105), ehT0Px3KOsy9(chr(48) + '\157' + chr(1629 - 1580) + chr(0b110100) + chr(0b100001 + 0o17), 8), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(1353 - 1301) + chr(758 - 710), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + '\062' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11884 - 11773) + chr(0b110001) + chr(51) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\065' + chr(471 - 421), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b100110 + 0o15) + chr(1038 - 983) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + chr(0b110001) + chr(49) + chr(1033 - 985), 0b1000), ehT0Px3KOsy9(chr(198 - 150) + '\157' + chr(50) + '\x36' + chr(1654 - 1602), 0b1000), ehT0Px3KOsy9(chr(1663 - 1615) + chr(0b111100 + 0o63) + '\x32' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(50) + '\x35' + '\x34', 5733 - 5725), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\064' + chr(340 - 290), 10096 - 10088), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100 + 0o62), 56239 - 56231), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1428 - 1379) + '\x36' + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b110111) + '\061', 0b1000), ehT0Px3KOsy9(chr(276 - 228) + chr(0b1101111) + '\065' + '\062', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b110 + 0o151) + '\x31' + chr(0b110111) + chr(182 - 129), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10 + 0o62) + '\065', 5114 - 5106), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\067' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1426 - 1378) + '\x6f' + '\x33' + chr(48) + chr(1845 - 1797), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(6767 - 6656) + chr(1598 - 1548) + chr(902 - 847) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\x33' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\x33' + chr(2186 - 2137) + chr(1763 - 1708), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(532 - 481) + chr(0b1000 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b11001 + 0o126) + chr(0b100110 + 0o15) + '\063' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + '\061' + chr(0b11001 + 0o33) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2182 - 2132) + chr(0b100000 + 0o20) + chr(1061 - 1012), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001 + 0o0) + chr(0b101010 + 0o15) + chr(0b100111 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + '\062' + chr(0b110011), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1 + 0o64) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'o'), chr(9819 - 9719) + chr(0b1100101) + '\x63' + chr(111) + chr(6021 - 5921) + '\x65')('\165' + '\x74' + '\146' + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kA66PSFHNpR_(iO_3rWhhNfmF, xsxMkUq7qWNg, GepWJh2_udX_, v4US9YPdTbg3=None):
wH0XksGV0lgx = [] if v4US9YPdTbg3 is None else [v4US9YPdTbg3]
with xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\x06xp\xa5\x05'), chr(0b1100100) + chr(3636 - 3535) + chr(0b1100011) + chr(0b1010100 + 0o33) + '\x64' + chr(101))(chr(1539 - 1422) + '\x74' + chr(0b1010010 + 0o24) + chr(0b101101) + '\x38'))(iO_3rWhhNfmF, mode=xafqLlk3kkUe(SXOLrMavuUCe(b'3'), chr(0b100010 + 0o102) + chr(7555 - 7454) + chr(8807 - 8708) + '\157' + chr(0b11100 + 0o110) + chr(101))(chr(0b1010011 + 0o42) + '\x74' + chr(0b1100110) + chr(45) + chr(0b100001 + 0o27))) as Drt0EYY_C77n:
o4JbVMBACEtx = Drt0EYY_C77n.readline()
while o4JbVMBACEtx:
(Qas9W3D0Xbzi, GR1581dR5rDS) = h6vEYw3aC7_6(o4JbVMBACEtx)
e9m2yazhmrEY = xsxMkUq7qWNg.encode(Qas9W3D0Xbzi.strip()) + wH0XksGV0lgx
qlaV1WTXNYJT = GepWJh2_udX_.encode(GR1581dR5rDS.strip()) + wH0XksGV0lgx
yield {xafqLlk3kkUe(SXOLrMavuUCe(b'(Pi\xbc\x14\x8f'), chr(0b1100100) + chr(6772 - 6671) + chr(4074 - 3975) + chr(111) + '\144' + chr(101))(chr(0b10100 + 0o141) + '\164' + chr(102) + '\x2d' + '\x38'): e9m2yazhmrEY, xafqLlk3kkUe(SXOLrMavuUCe(b'5_k\xae\x05\x88i'), chr(0b111000 + 0o54) + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')(chr(4209 - 4092) + '\164' + '\146' + chr(513 - 468) + '\x38'): qlaV1WTXNYJT}
o4JbVMBACEtx = Drt0EYY_C77n.readline()
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wsj_parsing.py
|
parsing_token_generator
|
def parsing_token_generator(data_dir, tmp_dir, train, source_vocab_size,
target_vocab_size):
"""Generator for parsing as a sequence-to-sequence task that uses tokens.
This generator assumes the files parsing_{train,dev}.trees, which contain
trees in WSJ format.
Args:
data_dir: path to the data directory.
tmp_dir: path to temporary storage directory.
train: whether we're training or not.
source_vocab_size: source vocab size.
target_vocab_size: target vocab size.
Returns:
A generator to a dictionary of inputs and outputs.
"""
# TODO(lukaszkaiser): Correct these calls to generate vocabularies. No data
# sources are being passed.
del (data_dir, tmp_dir, train, source_vocab_size, target_vocab_size)
assert False, "Vocabulary generation not implemented"
|
python
|
def parsing_token_generator(data_dir, tmp_dir, train, source_vocab_size,
target_vocab_size):
"""Generator for parsing as a sequence-to-sequence task that uses tokens.
This generator assumes the files parsing_{train,dev}.trees, which contain
trees in WSJ format.
Args:
data_dir: path to the data directory.
tmp_dir: path to temporary storage directory.
train: whether we're training or not.
source_vocab_size: source vocab size.
target_vocab_size: target vocab size.
Returns:
A generator to a dictionary of inputs and outputs.
"""
# TODO(lukaszkaiser): Correct these calls to generate vocabularies. No data
# sources are being passed.
del (data_dir, tmp_dir, train, source_vocab_size, target_vocab_size)
assert False, "Vocabulary generation not implemented"
|
[
"def",
"parsing_token_generator",
"(",
"data_dir",
",",
"tmp_dir",
",",
"train",
",",
"source_vocab_size",
",",
"target_vocab_size",
")",
":",
"# TODO(lukaszkaiser): Correct these calls to generate vocabularies. No data",
"# sources are being passed.",
"del",
"(",
"data_dir",
",",
"tmp_dir",
",",
"train",
",",
"source_vocab_size",
",",
"target_vocab_size",
")",
"assert",
"False",
",",
"\"Vocabulary generation not implemented\""
] |
Generator for parsing as a sequence-to-sequence task that uses tokens.
This generator assumes the files parsing_{train,dev}.trees, which contain
trees in WSJ format.
Args:
data_dir: path to the data directory.
tmp_dir: path to temporary storage directory.
train: whether we're training or not.
source_vocab_size: source vocab size.
target_vocab_size: target vocab size.
Returns:
A generator to a dictionary of inputs and outputs.
|
[
"Generator",
"for",
"parsing",
"as",
"a",
"sequence",
"-",
"to",
"-",
"sequence",
"task",
"that",
"uses",
"tokens",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wsj_parsing.py#L136-L156
|
train
|
Generator for parsing as a sequence - to - sequence task that uses tokens.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(53) + chr(0b110100), 4029 - 4021), ehT0Px3KOsy9('\x30' + chr(111) + chr(619 - 569) + chr(0b110101) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(52) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\x37' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x34' + chr(0b110010), 27482 - 27474), ehT0Px3KOsy9('\060' + chr(9332 - 9221) + chr(50) + chr(53) + chr(222 - 173), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + '\x34' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8790 - 8679) + chr(49) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(2285 - 2234) + '\x33' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1426 - 1378) + chr(0b111111 + 0o60) + chr(49) + '\065' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(2254 - 2206) + '\x6f' + chr(49) + chr(49) + chr(1909 - 1857), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(0b101000 + 0o12) + '\x36' + chr(585 - 537), ord("\x08")), ehT0Px3KOsy9(chr(1470 - 1422) + chr(111) + chr(0b110111) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + '\x33' + chr(0b111 + 0o52) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010111 + 0o30) + '\x36' + chr(53), 0o10), ehT0Px3KOsy9(chr(176 - 128) + '\x6f' + '\x32' + chr(588 - 534) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6030 - 5919) + '\x31' + chr(901 - 850), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1770 - 1721) + chr(54) + '\060', 47169 - 47161), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\061' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(8508 - 8397) + '\x32' + chr(0b110011) + chr(2109 - 2056), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + chr(0b1001 + 0o52) + chr(48) + chr(0b110111), 21781 - 21773), ehT0Px3KOsy9(chr(251 - 203) + chr(111) + '\061' + chr(50) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(1551 - 1498) + '\063', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\064' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(55) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x31' + '\x34', 36209 - 36201), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x33' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4535 - 4424) + '\x32' + chr(0b100110 + 0o13) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b110011) + chr(48) + '\x35', 19016 - 19008), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(10443 - 10332) + '\x31' + chr(0b110111) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\060' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(53) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(9168 - 9057) + chr(1013 - 963) + chr(0b110101) + chr(321 - 270), 8), ehT0Px3KOsy9('\060' + chr(0b1001101 + 0o42) + chr(0b10000 + 0o41) + chr(0b100 + 0o62) + '\x33', 0b1000), ehT0Px3KOsy9(chr(864 - 816) + chr(111) + '\061' + chr(0b10100 + 0o36) + '\x31', 8), ehT0Px3KOsy9(chr(1829 - 1781) + chr(0b11111 + 0o120) + chr(54) + '\065', 8), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(0b1001 + 0o51) + '\062' + chr(0b110111), 436 - 428), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + '\x32' + chr(1153 - 1100) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\062', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(6072 - 5961) + '\065' + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x82'), chr(0b101010 + 0o72) + chr(0b1100101) + chr(3057 - 2958) + chr(111) + '\x64' + chr(0b10001 + 0o124))(chr(0b1110101) + chr(116) + '\146' + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def TNGDp_nVWSfD(kVFRD544hi_1, JsZ36NJUqtml, e80gRioCjdat, XUqE0GHx9ndw, HHpQzG13Xmp7):
del (kVFRD544hi_1, JsZ36NJUqtml, e80gRioCjdat, XUqE0GHx9ndw, HHpQzG13Xmp7)
assert ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 0b1000), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xc5@\xd9@\xdcHi\xa8\x12l\xd7[\xa1P\xc5j\x04\xa5\xf2\xa9q\x05\x0f\xcb\xac\xb2\xe3\xb5\x11\xe3\xc6M\xc5\x074Q'), chr(100) + chr(101) + chr(0b1100000 + 0o3) + chr(3474 - 3363) + '\144' + chr(0b1001111 + 0o26))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b10011 + 0o32) + chr(56))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wikisum/validate_data.py
|
aggregate_stats
|
def aggregate_stats(stats_files):
"""Aggregate stats in per-shard stats files."""
all_stats = {}
for fname in stats_files:
with tf.gfile.Open(fname) as f:
stats = json.loads(f.read())
for k, v in stats.iteritems():
if k not in all_stats:
if isinstance(v, list):
all_stats[k] = []
else:
all_stats[k] = 0
if isinstance(v, list):
all_stats[k].extend(v)
else:
all_stats[k] += v
stats = all_stats
ref_coverage = float(stats["total_found_refs"]) / stats["total_original_refs"]
len_bounds = [0, 2, 10, 100, 1000, 5000, 10000, 20000, 50000, 100000, 1000000]
len_counts, len_bounds = np.histogram(stats["ref_lengths"], len_bounds)
len_dist = len_counts.astype(np.float32) / len_counts.sum()
wiki_coverage = (float(stats["num_wikis_written"]) /
stats["total_original_wikis"])
wikis_skipped_no_ref = (float(stats["wikis_skipped_no_refs"]) /
stats["total_original_wikis"])
wikis_skipped_no_lead = (float(stats["wikis_skipped_short_lead"]) /
stats["total_original_wikis"])
wiki_ref_coverage = [
float(found) / orig for found, orig
in zip(stats["wiki_found_refs"], stats["wiki_original_refs"]) if found
]
coverage_bounds = np.arange(21).astype(np.float32) / 20
coverage_counts, coverage_bounds = np.histogram(wiki_ref_coverage,
coverage_bounds)
coverage_dist = coverage_counts.astype(np.float32) / coverage_counts.sum()
agg_stats = dict(
total_original_wikis=stats["total_original_wikis"],
total_original_refs=stats["total_original_refs"],
wiki_coverage=wiki_coverage,
wikis_skipped_no_ref=wikis_skipped_no_ref,
wikis_skipped_no_lead=wikis_skipped_no_lead,
overall_ref_coverage=ref_coverage,
per_wiki_ref_coverage_dist=list((coverage_dist * 100).astype(int)),
per_wiki_ref_coverage_bounds=list((coverage_bounds * 100).astype(int)),
ref_len_dist=list((len_dist * 100).astype(int)),
ref_len_bounds=list(len_bounds),
)
return agg_stats
|
python
|
def aggregate_stats(stats_files):
"""Aggregate stats in per-shard stats files."""
all_stats = {}
for fname in stats_files:
with tf.gfile.Open(fname) as f:
stats = json.loads(f.read())
for k, v in stats.iteritems():
if k not in all_stats:
if isinstance(v, list):
all_stats[k] = []
else:
all_stats[k] = 0
if isinstance(v, list):
all_stats[k].extend(v)
else:
all_stats[k] += v
stats = all_stats
ref_coverage = float(stats["total_found_refs"]) / stats["total_original_refs"]
len_bounds = [0, 2, 10, 100, 1000, 5000, 10000, 20000, 50000, 100000, 1000000]
len_counts, len_bounds = np.histogram(stats["ref_lengths"], len_bounds)
len_dist = len_counts.astype(np.float32) / len_counts.sum()
wiki_coverage = (float(stats["num_wikis_written"]) /
stats["total_original_wikis"])
wikis_skipped_no_ref = (float(stats["wikis_skipped_no_refs"]) /
stats["total_original_wikis"])
wikis_skipped_no_lead = (float(stats["wikis_skipped_short_lead"]) /
stats["total_original_wikis"])
wiki_ref_coverage = [
float(found) / orig for found, orig
in zip(stats["wiki_found_refs"], stats["wiki_original_refs"]) if found
]
coverage_bounds = np.arange(21).astype(np.float32) / 20
coverage_counts, coverage_bounds = np.histogram(wiki_ref_coverage,
coverage_bounds)
coverage_dist = coverage_counts.astype(np.float32) / coverage_counts.sum()
agg_stats = dict(
total_original_wikis=stats["total_original_wikis"],
total_original_refs=stats["total_original_refs"],
wiki_coverage=wiki_coverage,
wikis_skipped_no_ref=wikis_skipped_no_ref,
wikis_skipped_no_lead=wikis_skipped_no_lead,
overall_ref_coverage=ref_coverage,
per_wiki_ref_coverage_dist=list((coverage_dist * 100).astype(int)),
per_wiki_ref_coverage_bounds=list((coverage_bounds * 100).astype(int)),
ref_len_dist=list((len_dist * 100).astype(int)),
ref_len_bounds=list(len_bounds),
)
return agg_stats
|
[
"def",
"aggregate_stats",
"(",
"stats_files",
")",
":",
"all_stats",
"=",
"{",
"}",
"for",
"fname",
"in",
"stats_files",
":",
"with",
"tf",
".",
"gfile",
".",
"Open",
"(",
"fname",
")",
"as",
"f",
":",
"stats",
"=",
"json",
".",
"loads",
"(",
"f",
".",
"read",
"(",
")",
")",
"for",
"k",
",",
"v",
"in",
"stats",
".",
"iteritems",
"(",
")",
":",
"if",
"k",
"not",
"in",
"all_stats",
":",
"if",
"isinstance",
"(",
"v",
",",
"list",
")",
":",
"all_stats",
"[",
"k",
"]",
"=",
"[",
"]",
"else",
":",
"all_stats",
"[",
"k",
"]",
"=",
"0",
"if",
"isinstance",
"(",
"v",
",",
"list",
")",
":",
"all_stats",
"[",
"k",
"]",
".",
"extend",
"(",
"v",
")",
"else",
":",
"all_stats",
"[",
"k",
"]",
"+=",
"v",
"stats",
"=",
"all_stats",
"ref_coverage",
"=",
"float",
"(",
"stats",
"[",
"\"total_found_refs\"",
"]",
")",
"/",
"stats",
"[",
"\"total_original_refs\"",
"]",
"len_bounds",
"=",
"[",
"0",
",",
"2",
",",
"10",
",",
"100",
",",
"1000",
",",
"5000",
",",
"10000",
",",
"20000",
",",
"50000",
",",
"100000",
",",
"1000000",
"]",
"len_counts",
",",
"len_bounds",
"=",
"np",
".",
"histogram",
"(",
"stats",
"[",
"\"ref_lengths\"",
"]",
",",
"len_bounds",
")",
"len_dist",
"=",
"len_counts",
".",
"astype",
"(",
"np",
".",
"float32",
")",
"/",
"len_counts",
".",
"sum",
"(",
")",
"wiki_coverage",
"=",
"(",
"float",
"(",
"stats",
"[",
"\"num_wikis_written\"",
"]",
")",
"/",
"stats",
"[",
"\"total_original_wikis\"",
"]",
")",
"wikis_skipped_no_ref",
"=",
"(",
"float",
"(",
"stats",
"[",
"\"wikis_skipped_no_refs\"",
"]",
")",
"/",
"stats",
"[",
"\"total_original_wikis\"",
"]",
")",
"wikis_skipped_no_lead",
"=",
"(",
"float",
"(",
"stats",
"[",
"\"wikis_skipped_short_lead\"",
"]",
")",
"/",
"stats",
"[",
"\"total_original_wikis\"",
"]",
")",
"wiki_ref_coverage",
"=",
"[",
"float",
"(",
"found",
")",
"/",
"orig",
"for",
"found",
",",
"orig",
"in",
"zip",
"(",
"stats",
"[",
"\"wiki_found_refs\"",
"]",
",",
"stats",
"[",
"\"wiki_original_refs\"",
"]",
")",
"if",
"found",
"]",
"coverage_bounds",
"=",
"np",
".",
"arange",
"(",
"21",
")",
".",
"astype",
"(",
"np",
".",
"float32",
")",
"/",
"20",
"coverage_counts",
",",
"coverage_bounds",
"=",
"np",
".",
"histogram",
"(",
"wiki_ref_coverage",
",",
"coverage_bounds",
")",
"coverage_dist",
"=",
"coverage_counts",
".",
"astype",
"(",
"np",
".",
"float32",
")",
"/",
"coverage_counts",
".",
"sum",
"(",
")",
"agg_stats",
"=",
"dict",
"(",
"total_original_wikis",
"=",
"stats",
"[",
"\"total_original_wikis\"",
"]",
",",
"total_original_refs",
"=",
"stats",
"[",
"\"total_original_refs\"",
"]",
",",
"wiki_coverage",
"=",
"wiki_coverage",
",",
"wikis_skipped_no_ref",
"=",
"wikis_skipped_no_ref",
",",
"wikis_skipped_no_lead",
"=",
"wikis_skipped_no_lead",
",",
"overall_ref_coverage",
"=",
"ref_coverage",
",",
"per_wiki_ref_coverage_dist",
"=",
"list",
"(",
"(",
"coverage_dist",
"*",
"100",
")",
".",
"astype",
"(",
"int",
")",
")",
",",
"per_wiki_ref_coverage_bounds",
"=",
"list",
"(",
"(",
"coverage_bounds",
"*",
"100",
")",
".",
"astype",
"(",
"int",
")",
")",
",",
"ref_len_dist",
"=",
"list",
"(",
"(",
"len_dist",
"*",
"100",
")",
".",
"astype",
"(",
"int",
")",
")",
",",
"ref_len_bounds",
"=",
"list",
"(",
"len_bounds",
")",
",",
")",
"return",
"agg_stats"
] |
Aggregate stats in per-shard stats files.
|
[
"Aggregate",
"stats",
"in",
"per",
"-",
"shard",
"stats",
"files",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wikisum/validate_data.py#L41-L91
|
train
|
Aggregate stats in per - shard stats files.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(6502 - 6391) + chr(1175 - 1125) + chr(0b1111 + 0o47) + '\060', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + '\x31' + chr(53) + chr(0b11011 + 0o34), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9255 - 9144) + '\x33' + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(10366 - 10255) + '\x32' + chr(299 - 247) + chr(1412 - 1359), 0o10), ehT0Px3KOsy9(chr(1326 - 1278) + chr(9192 - 9081) + chr(742 - 694), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001 + 0o146) + '\x36' + chr(0b1111 + 0o45), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x30' + chr(522 - 469), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2489 - 2438) + chr(1382 - 1332) + '\x31', 192 - 184), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(11946 - 11835) + chr(0b110011) + chr(0b0 + 0o62) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(513 - 464) + chr(544 - 496) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(0b110001 + 0o0) + '\x37' + '\x37', 51620 - 51612), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(0b110011) + chr(0b110010) + '\x32', 22996 - 22988), ehT0Px3KOsy9(chr(1828 - 1780) + chr(111) + chr(2036 - 1986) + chr(440 - 390) + chr(340 - 286), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(207 - 157) + '\x33' + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110 + 0o56), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\x33' + chr(48), 15358 - 15350), ehT0Px3KOsy9(chr(48) + '\157' + chr(54) + chr(0b110000), 40057 - 40049), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(48) + chr(53), 14106 - 14098), ehT0Px3KOsy9('\x30' + chr(0b100010 + 0o115) + chr(0b110101) + chr(54), 0o10), ehT0Px3KOsy9(chr(546 - 498) + chr(0b1101111) + chr(0b110010) + '\061' + chr(0b10110 + 0o36), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110011) + '\063', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(100 - 51) + chr(0b1100 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b101001 + 0o15) + '\x31', 0b1000), ehT0Px3KOsy9(chr(1333 - 1285) + '\157' + chr(2045 - 1996) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(0b10010 + 0o37) + chr(2271 - 2217) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b10 + 0o57) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(0b101111 + 0o2) + chr(2149 - 2096) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + '\063' + chr(0b110101) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(9388 - 9277) + '\x31' + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(2184 - 2134) + chr(1033 - 983) + '\x33', 3423 - 3415), ehT0Px3KOsy9('\060' + chr(0b1101001 + 0o6) + chr(2257 - 2206) + '\x36' + chr(2099 - 2045), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11149 - 11038) + chr(0b1001 + 0o51) + chr(51) + '\062', 0b1000), ehT0Px3KOsy9(chr(1630 - 1582) + '\157' + '\061' + chr(53) + chr(0b11110 + 0o26), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10110 + 0o33) + chr(0b10101 + 0o36) + chr(0b110011 + 0o0), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(1956 - 1902) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b111111 + 0o60) + chr(0b110001) + chr(55) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b110001) + chr(721 - 667), 0o10), ehT0Px3KOsy9(chr(1498 - 1450) + '\x6f' + chr(0b11 + 0o61) + chr(0b110000), 5295 - 5287)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + '\065' + chr(48), 42226 - 42218)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e'), chr(0b11011 + 0o111) + chr(0b1100101) + '\x63' + chr(0b1000010 + 0o55) + '\x64' + chr(0b10 + 0o143))('\x75' + '\x74' + chr(0b1100110) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ukcubqljmWiy(Ds95gtvfLY1H):
BkDBslCh4p3O = {}
for t3WbF0Ae42Pu in Ds95gtvfLY1H:
with xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\x1f}\xcb'), chr(0b1010101 + 0o17) + chr(0b110111 + 0o56) + chr(0b1100011) + chr(0b1101110 + 0o1) + '\144' + chr(0b1100101))('\165' + chr(6974 - 6858) + chr(0b1100110) + chr(0b100110 + 0o7) + chr(0b101001 + 0o17)))(t3WbF0Ae42Pu) as EGyt1xfPT1P6:
hkfs4IaeBuiq = fXk443epxtd5.loads(EGyt1xfPT1P6.U6MiWrhuCi2Y())
for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(hkfs4IaeBuiq, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9\x1b}\xd7i@\xe0\xbc\xa6'), chr(6626 - 6526) + chr(5837 - 5736) + '\x63' + '\157' + chr(100) + chr(101))(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + '\070'))():
if OolUPRJhRaJd not in BkDBslCh4p3O:
if PlSM16l2KDPD(cMbll0QYhULo, YyaZ4tpXu4lf):
BkDBslCh4p3O[OolUPRJhRaJd] = []
else:
BkDBslCh4p3O[OolUPRJhRaJd] = ehT0Px3KOsy9(chr(1943 - 1895) + chr(0b110 + 0o151) + chr(566 - 518), 8)
if PlSM16l2KDPD(cMbll0QYhULo, YyaZ4tpXu4lf):
xafqLlk3kkUe(BkDBslCh4p3O[OolUPRJhRaJd], xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x17l\xc0nP'), '\144' + chr(0b1100101) + '\143' + chr(111) + chr(0b1000111 + 0o35) + '\145')(chr(0b1110101) + '\164' + '\146' + chr(0b101101) + '\070'))(cMbll0QYhULo)
else:
BkDBslCh4p3O[OolUPRJhRaJd] += cMbll0QYhULo
hkfs4IaeBuiq = BkDBslCh4p3O
cC3rqyDurM8x = kkSX4ccExqw4(hkfs4IaeBuiq[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x00l\xc4lk\xe3\xbe\xa0j% \xa0\xf3\xfbw'), chr(100) + '\x65' + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')(chr(0b1100 + 0o151) + chr(4030 - 3914) + '\x66' + '\055' + chr(1604 - 1548))]) / hkfs4IaeBuiq[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x00l\xc4lk\xea\xa3\xbcc(\x11\xb3\xfa\xc2v\xfdV6'), chr(0b1010101 + 0o17) + chr(101) + '\x63' + '\x6f' + chr(100) + chr(101))('\x75' + chr(11379 - 11263) + chr(0b1100110) + '\055' + chr(244 - 188))]
zl3NryUyVoiZ = [ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + chr(8802 - 8691) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(6749 - 6638) + '\061' + chr(0b110100) + '\x34', 20484 - 20476), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b110111) + chr(1899 - 1846) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(4927 - 4816) + chr(0b110001) + chr(49) + '\x36' + chr(0b1000 + 0o51) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(696 - 646) + chr(2293 - 2242) + chr(0b110100) + '\062' + '\060', 19478 - 19470), ehT0Px3KOsy9(chr(496 - 448) + '\x6f' + '\x34' + chr(0b110111) + '\x30' + chr(2104 - 2052) + chr(48), 24109 - 24101), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + '\x31' + chr(1969 - 1917) + '\x31' + chr(53) + '\062' + chr(0b101001 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1210 - 1159) + chr(0b10000 + 0o40) + chr(0b110011) + '\x32' + '\064' + chr(0b101000 + 0o10), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(54) + '\064' + chr(1657 - 1608) + chr(0b10101 + 0o34) + chr(1576 - 1528) + chr(1766 - 1718), 0o10)]
(g8Nnk9dYr9AE, zl3NryUyVoiZ) = WqUC3KWvYVup._D4Zw9btUTuQ(hkfs4IaeBuiq[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\n~\xfalQ\xeb\xb6\xa1l2'), '\x64' + chr(0b111010 + 0o53) + chr(0b1100011) + chr(11373 - 11262) + chr(0b1100100) + chr(0b1100101))(chr(6428 - 6311) + '\164' + chr(0b1100110) + '\x2d' + chr(0b101001 + 0o17))], zl3NryUyVoiZ)
ejv02fbQlJ7B = g8Nnk9dYr9AE.astype(WqUC3KWvYVup.float32) / g8Nnk9dYr9AE.xkxBmo49x2An()
OLzRoMHjkxTp = kkSX4ccExqw4(hkfs4IaeBuiq[xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\x1au\xfaw]\xee\xb8\xa6[6\r\xbb\xe2\xe9a\xf6'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b10100 + 0o120) + chr(0b100101 + 0o100))('\165' + chr(0b1001 + 0o153) + '\x66' + chr(1629 - 1584) + chr(0b111000))]) / hkfs4IaeBuiq[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x00l\xc4lk\xea\xa3\xbcc(\x11\xb3\xfa\xc2s\xf1[,]'), '\144' + chr(101) + '\x63' + chr(111) + chr(100) + chr(0b1001000 + 0o35))(chr(8362 - 8245) + chr(4382 - 4266) + chr(0b1100110) + chr(0b11101 + 0o20) + chr(0b10011 + 0o45))]
TPVofZwQkLq7 = kkSX4ccExqw4(hkfs4IaeBuiq[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\x06s\xccsk\xf6\xba\xbct1\x1a\xb6\xc9\xf3k\xc7B H\xff'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b1011111 + 0o26) + chr(12923 - 12807) + '\146' + '\055' + '\070')]) / hkfs4IaeBuiq[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x00l\xc4lk\xea\xa3\xbcc(\x11\xb3\xfa\xc2s\xf1[,]'), '\144' + chr(0b1100101) + '\x63' + chr(111) + '\144' + chr(6756 - 6655))(chr(117) + chr(0b101101 + 0o107) + '\x66' + chr(485 - 440) + '\070')]
TFtg3CtpcB9a = kkSX4ccExqw4(hkfs4IaeBuiq[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\x06s\xccsk\xf6\xba\xbct1\x1a\xb6\xc9\xeel\xf7B1q\xe0>\xa8\x95'), chr(100) + chr(7279 - 7178) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(117) + chr(116) + '\x66' + chr(0b101010 + 0o3) + '\070')]) / hkfs4IaeBuiq[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x00l\xc4lk\xea\xa3\xbcc(\x11\xb3\xfa\xc2s\xf1[,]'), '\144' + chr(3993 - 3892) + '\143' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1010001 + 0o44) + chr(0b11101 + 0o127) + chr(102) + chr(0b101101) + '\070')]
uZ3Tl_ztaGpM = [kkSX4ccExqw4(PCyJ03LCCQIZ) / jjyPuVO56hZ6 for (PCyJ03LCCQIZ, jjyPuVO56hZ6) in pZ0NK2y6HRbn(hkfs4IaeBuiq[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\x06s\xcc_R\xea\xa4\xbb`\x1e\r\xb7\xf0\xee'), '\144' + '\x65' + '\x63' + '\x6f' + '\144' + chr(0b1001001 + 0o34))('\165' + chr(0b10010 + 0o142) + '\x66' + '\x2d' + chr(1511 - 1455))], hkfs4IaeBuiq[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\x06s\xcc_[\xf7\xb8\xb2m/\x1e\xbe\xc9\xefa\xfeC'), chr(0b1100100) + '\x65' + chr(6701 - 6602) + chr(3662 - 3551) + '\144' + '\145')(chr(0b100010 + 0o123) + chr(0b1110100) + '\x66' + '\055' + chr(0b111000))]) if PCyJ03LCCQIZ]
x80BykiGlgzw = WqUC3KWvYVup.arange(ehT0Px3KOsy9(chr(48) + chr(10712 - 10601) + '\x32' + chr(0b1011 + 0o52), 0b1000)).astype(WqUC3KWvYVup.float32) / ehT0Px3KOsy9('\x30' + chr(2053 - 1942) + chr(50) + '\064', 0o10)
(MeInWtcgbV8z, x80BykiGlgzw) = WqUC3KWvYVup._D4Zw9btUTuQ(uZ3Tl_ztaGpM, x80BykiGlgzw)
nFr8J3XYS9tW = MeInWtcgbV8z.astype(WqUC3KWvYVup.float32) / MeInWtcgbV8z.xkxBmo49x2An()
TjaP1xIl9tM2 = wLqBDw8l0eIm(total_original_wikis=hkfs4IaeBuiq[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x00l\xc4lk\xea\xa3\xbcc(\x11\xb3\xfa\xc2s\xf1[,]'), chr(100) + chr(0b1000000 + 0o45) + chr(0b1000101 + 0o36) + chr(0b1101010 + 0o5) + chr(0b1001111 + 0o25) + chr(0b110110 + 0o57))(chr(5994 - 5877) + chr(0b0 + 0o164) + chr(102) + chr(1276 - 1231) + chr(0b111000))], total_original_refs=hkfs4IaeBuiq[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x00l\xc4lk\xea\xa3\xbcc(\x11\xb3\xfa\xc2v\xfdV6'), chr(2350 - 2250) + '\x65' + chr(0b10101 + 0o116) + '\157' + '\x64' + chr(101))('\165' + chr(5240 - 5124) + '\x66' + '\x2d' + chr(56))], wiki_coverage=OLzRoMHjkxTp, wikis_skipped_no_ref=TPVofZwQkLq7, wikis_skipped_no_lead=TFtg3CtpcB9a, overall_ref_coverage=cC3rqyDurM8x, per_wiki_ref_coverage_dist=YyaZ4tpXu4lf((nFr8J3XYS9tW * ehT0Px3KOsy9(chr(266 - 218) + '\x6f' + '\061' + chr(0b110100) + chr(2469 - 2417), 8)).astype(ehT0Px3KOsy9)), per_wiki_ref_coverage_bounds=YyaZ4tpXu4lf((x80BykiGlgzw * ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(0b11001 + 0o30) + chr(0b110100) + chr(52), 8)).astype(ehT0Px3KOsy9)), ref_len_dist=YyaZ4tpXu4lf((ejv02fbQlJ7B * ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + '\061' + chr(0b10101 + 0o37) + '\064', 8)).astype(ehT0Px3KOsy9)), ref_len_bounds=YyaZ4tpXu4lf(zl3NryUyVoiZ))
return TjaP1xIl9tM2
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wikisum/validate_data.py
|
filename_to_task_id
|
def filename_to_task_id(fname):
"""Map filename to the task id that created it assuming 1k tasks."""
# This matches the order and size in WikisumBase.out_filepaths
fname = os.path.basename(fname)
shard_id_increment = {
"train": 0,
"dev": 800,
"test": 900,
}
parts = fname.split("-")
split = parts[1]
shard_id = parts[2]
task_id = int(shard_id) + shard_id_increment[split]
return task_id
|
python
|
def filename_to_task_id(fname):
"""Map filename to the task id that created it assuming 1k tasks."""
# This matches the order and size in WikisumBase.out_filepaths
fname = os.path.basename(fname)
shard_id_increment = {
"train": 0,
"dev": 800,
"test": 900,
}
parts = fname.split("-")
split = parts[1]
shard_id = parts[2]
task_id = int(shard_id) + shard_id_increment[split]
return task_id
|
[
"def",
"filename_to_task_id",
"(",
"fname",
")",
":",
"# This matches the order and size in WikisumBase.out_filepaths",
"fname",
"=",
"os",
".",
"path",
".",
"basename",
"(",
"fname",
")",
"shard_id_increment",
"=",
"{",
"\"train\"",
":",
"0",
",",
"\"dev\"",
":",
"800",
",",
"\"test\"",
":",
"900",
",",
"}",
"parts",
"=",
"fname",
".",
"split",
"(",
"\"-\"",
")",
"split",
"=",
"parts",
"[",
"1",
"]",
"shard_id",
"=",
"parts",
"[",
"2",
"]",
"task_id",
"=",
"int",
"(",
"shard_id",
")",
"+",
"shard_id_increment",
"[",
"split",
"]",
"return",
"task_id"
] |
Map filename to the task id that created it assuming 1k tasks.
|
[
"Map",
"filename",
"to",
"the",
"task",
"id",
"that",
"created",
"it",
"assuming",
"1k",
"tasks",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wikisum/validate_data.py#L94-L107
|
train
|
Map filename to the task id that created it assuming 1k tasks.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1649 - 1601) + chr(6594 - 6483) + chr(50) + chr(51) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + '\x33' + '\064' + chr(2042 - 1989), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(1086 - 1035) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1204 - 1156) + '\157' + chr(0b100110 + 0o13) + chr(2488 - 2438) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(7953 - 7842) + '\x31' + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110111) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(575 - 526) + '\x30' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1563 - 1515) + chr(3499 - 3388) + chr(0b110001) + '\x37' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + '\x31' + chr(0b110010) + chr(2361 - 2312), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1011 + 0o46) + chr(52) + chr(0b100000 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(1146 - 1098) + '\x6f' + '\062' + '\066' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b1000 + 0o52) + chr(0b110000) + chr(364 - 315), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b111 + 0o56), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(409 - 298) + chr(0b110001) + '\x33' + chr(1323 - 1275), 39814 - 39806), ehT0Px3KOsy9('\060' + chr(9826 - 9715) + chr(0b110011) + '\064' + chr(53), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100010 + 0o21) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(6072 - 5961) + chr(54) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011 + 0o3), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55) + chr(0b110110), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\x35', 8), ehT0Px3KOsy9(chr(2021 - 1973) + '\157' + chr(0b110010) + '\066' + chr(0b11100 + 0o33), 0o10), ehT0Px3KOsy9('\x30' + chr(1927 - 1816) + '\x31' + chr(0b110010) + chr(1763 - 1714), 8), ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + chr(0b110001) + chr(0b110011) + chr(0b1100 + 0o50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b101100 + 0o103) + chr(0b110001) + chr(0b101010 + 0o15) + chr(0b100010 + 0o22), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\063' + chr(0b1101 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(137 - 89) + chr(2345 - 2234) + chr(1263 - 1208) + chr(0b11110 + 0o22), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\065', 8), ehT0Px3KOsy9('\x30' + chr(1347 - 1236) + chr(1039 - 990) + chr(0b110000 + 0o5) + chr(0b1111 + 0o47), 45246 - 45238), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b110010) + chr(2141 - 2090), 0o10), ehT0Px3KOsy9(chr(1413 - 1365) + chr(0b10110 + 0o131) + chr(1178 - 1127) + chr(2144 - 2094) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(0b110101) + chr(0b100000 + 0o27), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b110010) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2153 - 2104) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(5790 - 5679) + chr(841 - 787) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(10584 - 10473) + chr(0b10000 + 0o42) + '\064' + '\060', 2340 - 2332), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(0b110001) + chr(0b10000 + 0o47) + chr(52), 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b10110 + 0o131) + '\063' + '\x30' + chr(1559 - 1510), ord("\x08")), ehT0Px3KOsy9('\060' + chr(6540 - 6429) + '\062' + chr(866 - 817) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b1110 + 0o43) + chr(0b1 + 0o61), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1310 - 1199) + chr(0b100110 + 0o15) + chr(0b110101) + '\x34', 49511 - 49503)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4'), chr(100) + '\145' + '\x63' + chr(111) + '\x64' + chr(0b1100101))(chr(0b110101 + 0o100) + chr(4315 - 4199) + '\146' + chr(1273 - 1228) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zZfELiHxnQ2f(t3WbF0Ae42Pu):
t3WbF0Ae42Pu = oqhJDdMJfuwx.path.basename(t3WbF0Ae42Pu)
_H7AafSMtCBw = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x97\xf9=c'), '\144' + '\x65' + chr(0b1100011) + '\x6f' + chr(0b111100 + 0o50) + chr(0b1100101))(chr(1290 - 1173) + chr(116) + '\146' + chr(45) + chr(56)): ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + '\060', 0b1000), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe\x80\xee'), chr(0b1100100) + '\145' + chr(0b1000 + 0o133) + chr(111) + chr(0b101010 + 0o72) + chr(0b1100101))(chr(8881 - 8764) + '\164' + chr(0b1100110) + '\055' + '\070'): ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + chr(0b11110 + 0o23) + chr(192 - 140) + chr(0b110001 + 0o3) + '\060', 0b1000), xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x80\xeb '), '\x64' + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + '\145')(chr(0b1110101) + chr(116) + chr(2254 - 2152) + '\x2d' + '\070'): ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + '\066' + chr(324 - 276) + chr(0b110100), 6628 - 6620)}
gIfWK5W_pmM4 = t3WbF0Ae42Pu.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7'), chr(6328 - 6228) + chr(7800 - 7699) + chr(99) + chr(111) + chr(0b1100100) + chr(0b1100101))('\165' + chr(2146 - 2030) + chr(102) + '\x2d' + chr(56)))
vsJU7GhuEuh6 = gIfWK5W_pmM4[ehT0Px3KOsy9(chr(1567 - 1519) + '\157' + chr(0b110001), ord("\x08"))]
GlVrV0lc39s3 = gIfWK5W_pmM4[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010), 0o10)]
h_MwKIdeQ6Ce = ehT0Px3KOsy9(GlVrV0lc39s3) + _H7AafSMtCBw[vsJU7GhuEuh6]
return h_MwKIdeQ6Ce
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wikisum/validate_data.py
|
validate_data_files
|
def validate_data_files(problem, data_files, min_size):
"""Validate presence and minimum size of files."""
# Check that all files are present
data_dir = os.path.split(data_files[0])[0]
out_filepaths = problem.out_filepaths(data_dir)
missing_filepaths = set(out_filepaths) - set(data_files)
if missing_filepaths:
tf.logging.error("Missing %d data files", len(missing_filepaths))
# Check that each file is at least 100M
too_small = []
for data_file in data_files:
length = get_length(data_file)
if length < min_size:
too_small.append(data_file)
if too_small:
tf.logging.error("%d files too small", len(too_small))
bad_files = too_small + list(missing_filepaths)
return bad_files
|
python
|
def validate_data_files(problem, data_files, min_size):
"""Validate presence and minimum size of files."""
# Check that all files are present
data_dir = os.path.split(data_files[0])[0]
out_filepaths = problem.out_filepaths(data_dir)
missing_filepaths = set(out_filepaths) - set(data_files)
if missing_filepaths:
tf.logging.error("Missing %d data files", len(missing_filepaths))
# Check that each file is at least 100M
too_small = []
for data_file in data_files:
length = get_length(data_file)
if length < min_size:
too_small.append(data_file)
if too_small:
tf.logging.error("%d files too small", len(too_small))
bad_files = too_small + list(missing_filepaths)
return bad_files
|
[
"def",
"validate_data_files",
"(",
"problem",
",",
"data_files",
",",
"min_size",
")",
":",
"# Check that all files are present",
"data_dir",
"=",
"os",
".",
"path",
".",
"split",
"(",
"data_files",
"[",
"0",
"]",
")",
"[",
"0",
"]",
"out_filepaths",
"=",
"problem",
".",
"out_filepaths",
"(",
"data_dir",
")",
"missing_filepaths",
"=",
"set",
"(",
"out_filepaths",
")",
"-",
"set",
"(",
"data_files",
")",
"if",
"missing_filepaths",
":",
"tf",
".",
"logging",
".",
"error",
"(",
"\"Missing %d data files\"",
",",
"len",
"(",
"missing_filepaths",
")",
")",
"# Check that each file is at least 100M",
"too_small",
"=",
"[",
"]",
"for",
"data_file",
"in",
"data_files",
":",
"length",
"=",
"get_length",
"(",
"data_file",
")",
"if",
"length",
"<",
"min_size",
":",
"too_small",
".",
"append",
"(",
"data_file",
")",
"if",
"too_small",
":",
"tf",
".",
"logging",
".",
"error",
"(",
"\"%d files too small\"",
",",
"len",
"(",
"too_small",
")",
")",
"bad_files",
"=",
"too_small",
"+",
"list",
"(",
"missing_filepaths",
")",
"return",
"bad_files"
] |
Validate presence and minimum size of files.
|
[
"Validate",
"presence",
"and",
"minimum",
"size",
"of",
"files",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wikisum/validate_data.py#L114-L133
|
train
|
Validate presence and minimum size of files.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(0b110 + 0o55) + chr(3019 - 2964) + chr(53), 39860 - 39852), ehT0Px3KOsy9('\060' + chr(0b1101 + 0o142) + chr(276 - 224) + chr(0b0 + 0o65), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110001) + chr(0b100001 + 0o21), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\x33' + chr(2293 - 2243), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10100 + 0o37) + '\067' + chr(0b1111 + 0o43), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(7308 - 7197) + chr(1834 - 1784) + chr(0b1010 + 0o51) + chr(0b110 + 0o55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b111 + 0o54) + chr(51) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1236 - 1188) + '\157' + chr(1776 - 1727) + chr(0b11111 + 0o23) + chr(1888 - 1840), 46006 - 45998), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(48) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1 + 0o156) + '\062' + '\065' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(7251 - 7140) + '\062' + '\062' + chr(0b101101 + 0o7), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\x33' + chr(358 - 307), 8), ehT0Px3KOsy9(chr(48) + chr(11541 - 11430) + chr(386 - 335) + chr(52), 15176 - 15168), ehT0Px3KOsy9('\060' + chr(0b1000000 + 0o57) + chr(0b110011) + chr(1671 - 1619) + chr(51), 31698 - 31690), ehT0Px3KOsy9(chr(0b110000) + chr(10290 - 10179) + chr(0b110001) + chr(0b1011 + 0o53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10484 - 10373) + chr(0b110001) + chr(49) + chr(0b10011 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11100 + 0o123) + '\x37' + chr(0b10000 + 0o41), 65151 - 65143), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\x30' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(1343 - 1288) + '\065', 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b100110 + 0o111) + '\063' + '\061' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101010 + 0o105) + chr(0b100011 + 0o16) + chr(0b101111 + 0o4) + chr(0b10010 + 0o42), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010 + 0o3) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5782 - 5671) + '\x35' + chr(0b1111 + 0o47), 44210 - 44202), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(0b110011) + '\x33' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10001 + 0o41) + '\x34' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + '\062' + chr(54) + chr(0b1001 + 0o53), 34304 - 34296), ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + chr(50) + chr(50) + '\063', 64706 - 64698), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + '\x32' + chr(1751 - 1703) + chr(0b110001), 30981 - 30973), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b110001 + 0o2) + chr(79 - 29), ord("\x08")), ehT0Px3KOsy9(chr(1490 - 1442) + chr(111) + '\x32' + chr(52) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(7372 - 7261) + '\x35' + chr(54), 8), ehT0Px3KOsy9(chr(861 - 813) + chr(4569 - 4458) + chr(0b110011) + chr(0b110111) + '\062', 8), ehT0Px3KOsy9(chr(1198 - 1150) + chr(0b10110 + 0o131) + chr(0b110001) + '\x32' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b1101 + 0o51) + chr(383 - 328), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(52) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b1110 + 0o45) + '\x33', 57107 - 57099), ehT0Px3KOsy9('\060' + '\157' + chr(0b11101 + 0o24) + chr(54) + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\x35' + chr(0b101100 + 0o6), 38528 - 38520), ehT0Px3KOsy9(chr(1514 - 1466) + chr(0b1101111) + '\x33' + '\x35' + '\062', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(2924 - 2813) + chr(53) + chr(1394 - 1346), 18234 - 18226)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'&'), '\x64' + '\145' + '\143' + chr(0b1001110 + 0o41) + chr(100) + '\145')(chr(5764 - 5647) + chr(0b1110100) + chr(7857 - 7755) + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xpUUTgrM1Rgi(sO7e1A_Mor6Q, KAyZjSEftgFC, dJZ2bJuq3GQ2):
kVFRD544hi_1 = oqhJDdMJfuwx.path.split(KAyZjSEftgFC[ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(5275 - 5164) + chr(0b101110 + 0o2), ord("\x08"))])[ehT0Px3KOsy9(chr(1031 - 983) + chr(111) + chr(0b1 + 0o57), 8)]
BDf4LNLQyop3 = sO7e1A_Mor6Q.out_filepaths(kVFRD544hi_1)
vUjy0YwzYrQx = MVEN8G6CxlvR(BDf4LNLQyop3) - MVEN8G6CxlvR(KAyZjSEftgFC)
if vUjy0YwzYrQx:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'M\xa8A\x1a\xbb\x8e\xd4\x8da\xb3\xd3\xa4'), chr(100) + '\145' + chr(0b111111 + 0o44) + chr(0b1101111) + chr(0b1010111 + 0o15) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b1010101 + 0o21) + chr(0b101101 + 0o0) + chr(1291 - 1235)))(xafqLlk3kkUe(SXOLrMavuUCe(b'E\x94V9\xb3\x94\xfc\xfeu\xa0\x8b\xf0\xfah\x82.)P\xe9X\xbe'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b10000 + 0o137) + chr(0b1001101 + 0o27) + '\145')(chr(117) + chr(0b1110100) + '\x66' + chr(0b100010 + 0o13) + chr(0b110011 + 0o5)), c2A0yzQpDQB3(vUjy0YwzYrQx))
axYyOG84mLZv = []
for CRm8xD274Xgy in KAyZjSEftgFC:
CHAOgk5VCHH_ = sVLulf6pcyhH(CRm8xD274Xgy)
if CHAOgk5VCHH_ < dJZ2bJuq3GQ2:
xafqLlk3kkUe(axYyOG84mLZv, xafqLlk3kkUe(SXOLrMavuUCe(b'i\x8dU/\xb4\x9e'), '\144' + chr(0b1001 + 0o134) + '\x63' + chr(0b11100 + 0o123) + chr(100) + chr(101))('\165' + '\164' + '\x66' + '\055' + chr(1986 - 1930)))(CRm8xD274Xgy)
if axYyOG84mLZv:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'M\xa8A\x1a\xbb\x8e\xd4\x8da\xb3\xd3\xa4'), '\144' + chr(6160 - 6059) + chr(0b1010100 + 0o17) + chr(6107 - 5996) + '\x64' + chr(0b111011 + 0o52))('\165' + chr(0b1110100) + chr(7754 - 7652) + '\055' + chr(1660 - 1604)))(xafqLlk3kkUe(SXOLrMavuUCe(b'-\x99\x05,\xb3\x96\xfe\xadp\xb0\xc4\xfb\xbbo\x8eo#U'), chr(878 - 778) + chr(0b1011111 + 0o6) + chr(0b1010110 + 0o15) + chr(0b1101111) + '\144' + chr(0b10001 + 0o124))(chr(117) + chr(0b1110100) + chr(0b111111 + 0o47) + chr(0b1 + 0o54) + chr(2296 - 2240)), c2A0yzQpDQB3(axYyOG84mLZv))
Ein_D2Fe5qEn = axYyOG84mLZv + YyaZ4tpXu4lf(vUjy0YwzYrQx)
return Ein_D2Fe5qEn
|
tensorflow/tensor2tensor
|
tensor2tensor/models/distillation.py
|
distill_resnet_32_to_15_cifar20x5
|
def distill_resnet_32_to_15_cifar20x5():
"""Set of hyperparameters."""
hparams = distill_base()
hparams.teacher_model = "resnet"
hparams.teacher_hparams = "resnet_cifar_32"
hparams.student_model = "resnet"
hparams.student_hparams = "resnet_cifar_15"
hparams.optimizer_momentum_nesterov = True
# (base_lr=0.1) * (batch_size=128*8 (on TPU, or 8 GPUs)=1024) / (256.)
hparams.teacher_learning_rate = 0.25 * 128. * 8. / 256.
hparams.student_learning_rate = 0.2 * 128. * 8. / 256.
hparams.learning_rate_decay_scheme = "piecewise"
hparams.add_hparam("learning_rate_boundaries", [40000, 60000, 80000])
hparams.add_hparam("learning_rate_multiples", [0.1, 0.01, 0.001])
hparams.task_balance = 0.28
hparams.distill_temperature = 2.0
hparams.num_classes = 20
return hparams
|
python
|
def distill_resnet_32_to_15_cifar20x5():
"""Set of hyperparameters."""
hparams = distill_base()
hparams.teacher_model = "resnet"
hparams.teacher_hparams = "resnet_cifar_32"
hparams.student_model = "resnet"
hparams.student_hparams = "resnet_cifar_15"
hparams.optimizer_momentum_nesterov = True
# (base_lr=0.1) * (batch_size=128*8 (on TPU, or 8 GPUs)=1024) / (256.)
hparams.teacher_learning_rate = 0.25 * 128. * 8. / 256.
hparams.student_learning_rate = 0.2 * 128. * 8. / 256.
hparams.learning_rate_decay_scheme = "piecewise"
hparams.add_hparam("learning_rate_boundaries", [40000, 60000, 80000])
hparams.add_hparam("learning_rate_multiples", [0.1, 0.01, 0.001])
hparams.task_balance = 0.28
hparams.distill_temperature = 2.0
hparams.num_classes = 20
return hparams
|
[
"def",
"distill_resnet_32_to_15_cifar20x5",
"(",
")",
":",
"hparams",
"=",
"distill_base",
"(",
")",
"hparams",
".",
"teacher_model",
"=",
"\"resnet\"",
"hparams",
".",
"teacher_hparams",
"=",
"\"resnet_cifar_32\"",
"hparams",
".",
"student_model",
"=",
"\"resnet\"",
"hparams",
".",
"student_hparams",
"=",
"\"resnet_cifar_15\"",
"hparams",
".",
"optimizer_momentum_nesterov",
"=",
"True",
"# (base_lr=0.1) * (batch_size=128*8 (on TPU, or 8 GPUs)=1024) / (256.)",
"hparams",
".",
"teacher_learning_rate",
"=",
"0.25",
"*",
"128.",
"*",
"8.",
"/",
"256.",
"hparams",
".",
"student_learning_rate",
"=",
"0.2",
"*",
"128.",
"*",
"8.",
"/",
"256.",
"hparams",
".",
"learning_rate_decay_scheme",
"=",
"\"piecewise\"",
"hparams",
".",
"add_hparam",
"(",
"\"learning_rate_boundaries\"",
",",
"[",
"40000",
",",
"60000",
",",
"80000",
"]",
")",
"hparams",
".",
"add_hparam",
"(",
"\"learning_rate_multiples\"",
",",
"[",
"0.1",
",",
"0.01",
",",
"0.001",
"]",
")",
"hparams",
".",
"task_balance",
"=",
"0.28",
"hparams",
".",
"distill_temperature",
"=",
"2.0",
"hparams",
".",
"num_classes",
"=",
"20",
"return",
"hparams"
] |
Set of hyperparameters.
|
[
"Set",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/distillation.py#L175-L196
|
train
|
Set of hyperparameters for distill_resnet_32_to_15_cifar20x5.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(271 - 222) + chr(310 - 261) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(50) + chr(0b110001 + 0o0) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7657 - 7546) + chr(1281 - 1230) + chr(0b110011) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001011 + 0o44) + chr(0b110110) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(0b110010) + '\x37' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(761 - 708) + '\x30', 46368 - 46360), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1010 + 0o145) + '\x32' + chr(51) + chr(586 - 536), 14256 - 14248), ehT0Px3KOsy9(chr(1303 - 1255) + '\157' + '\x32' + '\x31' + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + '\x31' + chr(0b11 + 0o62) + chr(2431 - 2380), 48557 - 48549), ehT0Px3KOsy9('\060' + chr(0b1000011 + 0o54) + chr(170 - 116), 0b1000), ehT0Px3KOsy9(chr(1533 - 1485) + chr(0b100111 + 0o110) + chr(0b110011) + '\063' + chr(0b110000), 7918 - 7910), ehT0Px3KOsy9(chr(508 - 460) + chr(111) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b110111) + chr(267 - 215), 8), ehT0Px3KOsy9(chr(1408 - 1360) + chr(1582 - 1471) + chr(0b101 + 0o54) + chr(0b110000) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(48) + chr(53), 60987 - 60979), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(241 - 191) + chr(1338 - 1287), 0b1000), ehT0Px3KOsy9(chr(329 - 281) + chr(0b101111 + 0o100) + '\x30', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\066' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100011 + 0o114) + chr(0b110001) + '\062' + chr(0b1001 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(0b110010) + chr(1850 - 1796) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(5145 - 5034) + chr(0b110001) + '\066' + chr(1773 - 1724), 0b1000), ehT0Px3KOsy9('\x30' + chr(5175 - 5064) + chr(49) + '\x37' + chr(854 - 799), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(51) + '\067' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(0b110010) + chr(0b101101 + 0o4) + chr(0b110001), 24014 - 24006), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + chr(0b110001) + chr(2316 - 2264) + '\067', 59762 - 59754), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\x32' + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + chr(0b110011) + '\067' + chr(0b11100 + 0o30), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(49) + '\x34', 0o10), ehT0Px3KOsy9(chr(455 - 407) + chr(111) + chr(0b0 + 0o62) + chr(512 - 463) + chr(49), 8), ehT0Px3KOsy9(chr(341 - 293) + chr(4132 - 4021) + chr(0b100010 + 0o20) + '\x35', 64076 - 64068), ehT0Px3KOsy9(chr(192 - 144) + chr(10733 - 10622) + '\x33' + chr(50) + chr(1761 - 1713), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\060' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(996 - 948) + chr(0b111 + 0o150) + '\062' + chr(54) + chr(1921 - 1872), 63603 - 63595), ehT0Px3KOsy9('\x30' + chr(12222 - 12111) + chr(0b110011) + chr(48) + chr(0b110111), 14500 - 14492), ehT0Px3KOsy9('\060' + chr(111) + '\x34' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6878 - 6767) + chr(51) + chr(813 - 760) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(920 - 866) + '\061', 45810 - 45802), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(49) + chr(0b11010 + 0o35), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(53) + chr(0b101 + 0o53), 39001 - 38993)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'g'), chr(0b1100100) + chr(0b1100101) + chr(7653 - 7554) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(117) + '\x74' + chr(10346 - 10244) + chr(875 - 830) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zMlNpOtaI10d():
n4ljua2gi1Pr = _QBL7TzC75Ul()
n4ljua2gi1Pr.YtfnI_czup_i = xafqLlk3kkUe(SXOLrMavuUCe(b';\xef\xad\\\xd9t'), chr(100) + '\x65' + '\x63' + '\x6f' + chr(453 - 353) + chr(3463 - 3362))('\x75' + '\x74' + chr(0b1100110) + chr(1583 - 1538) + chr(0b111000))
n4ljua2gi1Pr.LdClz6e0F8Bj = xafqLlk3kkUe(SXOLrMavuUCe(b';\xef\xad\\\xd9t\xb7\xf9\xe3\rg\xaa\\\x8fq'), chr(0b101100 + 0o70) + chr(2977 - 2876) + chr(99) + chr(6414 - 6303) + '\144' + chr(0b1100101))('\x75' + chr(0b1001100 + 0o50) + chr(0b1100110) + '\x2d' + chr(56))
n4ljua2gi1Pr.LkNqcYC_OSsw = xafqLlk3kkUe(SXOLrMavuUCe(b';\xef\xad\\\xd9t'), '\x64' + chr(101) + chr(1632 - 1533) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(7471 - 7369) + chr(478 - 433) + chr(56))
n4ljua2gi1Pr.h466Gx29YBuw = xafqLlk3kkUe(SXOLrMavuUCe(b';\xef\xad\\\xd9t\xb7\xf9\xe3\rg\xaa\\\x8dv'), chr(0b11110 + 0o106) + chr(101) + '\x63' + chr(7970 - 7859) + chr(100) + '\145')(chr(0b100000 + 0o125) + chr(0b1110100) + chr(0b1100011 + 0o3) + chr(0b110 + 0o47) + chr(0b1 + 0o67))
n4ljua2gi1Pr.esFRGnn6yeJR = ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + '\x31', 39403 - 39395)
n4ljua2gi1Pr.kX_INa8OnVec = 0.25 * 128.0 * 8.0 / 256.0
n4ljua2gi1Pr.I5agQFjowT2g = 0.2 * 128.0 * 8.0 / 256.0
n4ljua2gi1Pr.v3ZnJE9Hdub1 = xafqLlk3kkUe(SXOLrMavuUCe(b'9\xe3\xbbQ\xd9w\x81\xe9\xef'), chr(0b1100100) + '\145' + chr(0b100101 + 0o76) + chr(0b1101111) + chr(0b1100010 + 0o2) + '\x65')('\x75' + '\164' + chr(102) + '\055' + chr(0b111000))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'(\xee\xbam\xd4p\x89\xe8\xeb\x06'), '\x64' + '\x65' + chr(6091 - 5992) + '\x6f' + chr(100) + '\145')(chr(117) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'%\xef\xbf@\xd2i\x86\xfd\xd5\x19g\xacf\xe3!*a\xbddW \xd9\x14\x0c'), chr(0b1100100) + chr(101) + '\x63' + chr(111) + chr(0b1100100) + chr(0b1000110 + 0o37))(chr(117) + '\164' + '\146' + chr(45) + chr(56)), [ehT0Px3KOsy9('\060' + chr(3816 - 3705) + chr(49) + chr(49) + chr(0b110110) + '\x31' + chr(750 - 702) + chr(48), 12718 - 12710), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(8381 - 8270) + chr(0b110001) + chr(54) + '\065' + chr(0b1111 + 0o42) + chr(0b110100) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b110011) + chr(0b11001 + 0o33) + chr(0b100000 + 0o22) + '\x30' + chr(396 - 348), 62493 - 62485)])
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'(\xee\xbam\xd4p\x89\xe8\xeb\x06'), chr(100) + '\x65' + '\143' + chr(0b1 + 0o156) + chr(100) + '\145')(chr(0b1100 + 0o151) + chr(0b1010011 + 0o41) + chr(0b101100 + 0o72) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'%\xef\xbf@\xd2i\x86\xfd\xd5\x19g\xacf\xe3.0x\xa7iF>\xd5\x02'), chr(0b1100100) + chr(0b11110 + 0o107) + '\x63' + '\157' + '\144' + chr(4035 - 3934))(chr(8014 - 7897) + '\x74' + chr(9078 - 8976) + chr(0b101101) + '\x38'), [0.1, 0.01, 0.001])
n4ljua2gi1Pr.euX3cfAOFJca = 0.28
n4ljua2gi1Pr.Cky9EOHmG0oH = 2.0
n4ljua2gi1Pr.i6loyAgxUM2t = ehT0Px3KOsy9(chr(63 - 15) + chr(12264 - 12153) + '\x32' + chr(1340 - 1288), 8)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/lambada.py
|
_prepare_lambada_data
|
def _prepare_lambada_data(tmp_dir, data_dir, vocab_size, vocab_filename):
"""Downloading and preparing the dataset.
Args:
tmp_dir: tem directory
data_dir: data directory
vocab_size: size of vocabulary
vocab_filename: name of vocab file
"""
if not tf.gfile.Exists(data_dir):
tf.gfile.MakeDirs(data_dir)
file_path = generator_utils.maybe_download(tmp_dir, _TAR, _URL)
tar_all = tarfile.open(file_path)
tar_all.extractall(tmp_dir)
tar_all.close()
tar_train = tarfile.open(os.path.join(tmp_dir, "train-novels.tar"))
tar_train.extractall(tmp_dir)
tar_train.close()
vocab_path = os.path.join(data_dir, vocab_filename)
if not tf.gfile.Exists(vocab_path):
with tf.gfile.GFile(os.path.join(tmp_dir, _VOCAB), "r") as infile:
reader = csv.reader(infile, delimiter="\t")
words = [row[0] for row in reader]
words = [_UNK] + words[:vocab_size]
with tf.gfile.GFile(vocab_path, "w") as outfile:
outfile.write("\n".join(words))
|
python
|
def _prepare_lambada_data(tmp_dir, data_dir, vocab_size, vocab_filename):
"""Downloading and preparing the dataset.
Args:
tmp_dir: tem directory
data_dir: data directory
vocab_size: size of vocabulary
vocab_filename: name of vocab file
"""
if not tf.gfile.Exists(data_dir):
tf.gfile.MakeDirs(data_dir)
file_path = generator_utils.maybe_download(tmp_dir, _TAR, _URL)
tar_all = tarfile.open(file_path)
tar_all.extractall(tmp_dir)
tar_all.close()
tar_train = tarfile.open(os.path.join(tmp_dir, "train-novels.tar"))
tar_train.extractall(tmp_dir)
tar_train.close()
vocab_path = os.path.join(data_dir, vocab_filename)
if not tf.gfile.Exists(vocab_path):
with tf.gfile.GFile(os.path.join(tmp_dir, _VOCAB), "r") as infile:
reader = csv.reader(infile, delimiter="\t")
words = [row[0] for row in reader]
words = [_UNK] + words[:vocab_size]
with tf.gfile.GFile(vocab_path, "w") as outfile:
outfile.write("\n".join(words))
|
[
"def",
"_prepare_lambada_data",
"(",
"tmp_dir",
",",
"data_dir",
",",
"vocab_size",
",",
"vocab_filename",
")",
":",
"if",
"not",
"tf",
".",
"gfile",
".",
"Exists",
"(",
"data_dir",
")",
":",
"tf",
".",
"gfile",
".",
"MakeDirs",
"(",
"data_dir",
")",
"file_path",
"=",
"generator_utils",
".",
"maybe_download",
"(",
"tmp_dir",
",",
"_TAR",
",",
"_URL",
")",
"tar_all",
"=",
"tarfile",
".",
"open",
"(",
"file_path",
")",
"tar_all",
".",
"extractall",
"(",
"tmp_dir",
")",
"tar_all",
".",
"close",
"(",
")",
"tar_train",
"=",
"tarfile",
".",
"open",
"(",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"\"train-novels.tar\"",
")",
")",
"tar_train",
".",
"extractall",
"(",
"tmp_dir",
")",
"tar_train",
".",
"close",
"(",
")",
"vocab_path",
"=",
"os",
".",
"path",
".",
"join",
"(",
"data_dir",
",",
"vocab_filename",
")",
"if",
"not",
"tf",
".",
"gfile",
".",
"Exists",
"(",
"vocab_path",
")",
":",
"with",
"tf",
".",
"gfile",
".",
"GFile",
"(",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"_VOCAB",
")",
",",
"\"r\"",
")",
"as",
"infile",
":",
"reader",
"=",
"csv",
".",
"reader",
"(",
"infile",
",",
"delimiter",
"=",
"\"\\t\"",
")",
"words",
"=",
"[",
"row",
"[",
"0",
"]",
"for",
"row",
"in",
"reader",
"]",
"words",
"=",
"[",
"_UNK",
"]",
"+",
"words",
"[",
":",
"vocab_size",
"]",
"with",
"tf",
".",
"gfile",
".",
"GFile",
"(",
"vocab_path",
",",
"\"w\"",
")",
"as",
"outfile",
":",
"outfile",
".",
"write",
"(",
"\"\\n\"",
".",
"join",
"(",
"words",
")",
")"
] |
Downloading and preparing the dataset.
Args:
tmp_dir: tem directory
data_dir: data directory
vocab_size: size of vocabulary
vocab_filename: name of vocab file
|
[
"Downloading",
"and",
"preparing",
"the",
"dataset",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/lambada.py#L57-L86
|
train
|
Download and prepare the dataset.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(49) + chr(0b110101) + chr(992 - 937), 227 - 219), ehT0Px3KOsy9(chr(1607 - 1559) + chr(0b1101111) + chr(50), 48483 - 48475), ehT0Px3KOsy9(chr(1388 - 1340) + chr(0b1101111) + '\x33' + chr(0b10110 + 0o32) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8688 - 8577) + '\x32' + '\060' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1940 - 1892) + '\x6f' + '\x33' + chr(50) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(382 - 334) + '\x6f' + '\063' + chr(0b11010 + 0o26) + chr(1725 - 1673), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(2003 - 1952) + '\x32' + chr(0b101101 + 0o11), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\063' + chr(0b1101 + 0o45), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101011 + 0o4) + chr(50) + chr(50) + chr(0b101001 + 0o14), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b110111) + chr(0b10011 + 0o35), 56879 - 56871), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110100), 14999 - 14991), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + chr(0b110010) + '\x30' + chr(0b101 + 0o56), 33528 - 33520), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b110010) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11111 + 0o22) + chr(53) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1589 - 1541) + '\157' + chr(1376 - 1327) + chr(0b110011) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\063' + chr(0b101 + 0o61), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1051 - 1002) + chr(2304 - 2253) + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(1184 - 1136) + chr(2558 - 2447) + '\062' + chr(1930 - 1878) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\x32' + '\063', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(50) + chr(53), 51487 - 51479), ehT0Px3KOsy9(chr(48) + chr(9215 - 9104) + '\063' + chr(487 - 435) + chr(0b100101 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2145 - 2095) + '\063' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(835 - 787) + chr(0b1101111) + chr(0b10000 + 0o43) + chr(54) + '\x31', 42933 - 42925), ehT0Px3KOsy9(chr(48) + chr(0b111111 + 0o60) + chr(0b110001) + chr(52) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101001 + 0o12) + chr(49) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b1101 + 0o45) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\062' + '\061', 0o10), ehT0Px3KOsy9(chr(495 - 447) + '\x6f' + '\x32' + chr(0b110000) + '\065', 8), ehT0Px3KOsy9(chr(0b110000) + chr(11950 - 11839) + chr(50) + chr(1369 - 1319) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\064' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110) + chr(0b110001 + 0o5), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(53) + chr(281 - 227), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7042 - 6931) + chr(0b110011) + '\061' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(5212 - 5101) + chr(0b11010 + 0o27) + chr(110 - 59) + chr(262 - 213), 0b1000), ehT0Px3KOsy9('\060' + chr(4955 - 4844) + '\061' + '\x32' + '\062', 0o10), ehT0Px3KOsy9(chr(1660 - 1612) + '\x6f' + chr(0b110100) + chr(239 - 185), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110111) + chr(862 - 807), 16571 - 16563), ehT0Px3KOsy9('\060' + chr(4211 - 4100) + chr(0b110001) + chr(994 - 946) + chr(0b10011 + 0o42), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + chr(48), 5618 - 5610)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'A'), '\x64' + '\x65' + chr(3039 - 2940) + chr(0b1101111) + chr(6079 - 5979) + chr(0b1100101))('\x75' + chr(0b1110100) + '\146' + chr(45) + chr(2344 - 2288)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def l76ZMUGSzhHh(JsZ36NJUqtml, kVFRD544hi_1, CeyMIoSyrpkQ, EwmY7ynOlhiF):
if not xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'*z\xa8t\xf1\xa1'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\144' + chr(2985 - 2884))(chr(0b1101000 + 0o15) + '\x74' + chr(749 - 647) + chr(302 - 257) + chr(0b100000 + 0o30)))(kVFRD544hi_1):
xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'"c\xaab\xc1\xbb\xb6\xa5'), '\144' + chr(0b101011 + 0o72) + chr(0b1100011) + '\157' + chr(0b11100 + 0o110) + '\145')('\x75' + chr(0b1100110 + 0o16) + chr(0b1100110) + chr(45) + chr(0b111000)))(kVFRD544hi_1)
Ti9e_bxaCVyu = g1Z_RG9zP4cD.maybe_download(JsZ36NJUqtml, DXlWGvg_vaIv, pCCmpnhZPmGO)
HGGtwVHXvjqp = RxqDt8LqC5Ns.open(Ti9e_bxaCVyu)
xafqLlk3kkUe(HGGtwVHXvjqp, xafqLlk3kkUe(SXOLrMavuUCe(b'\nz\xb5u\xe4\xb1\xb0\xb7\xb6\xf9'), chr(0b1000001 + 0o43) + chr(0b1000001 + 0o44) + chr(0b1100011) + '\157' + chr(4200 - 4100) + chr(101))('\x75' + chr(0b1110100) + chr(547 - 445) + chr(0b101101) + chr(56)))(JsZ36NJUqtml)
xafqLlk3kkUe(HGGtwVHXvjqp, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0cn\xaet\xe0'), chr(0b1100100) + '\145' + chr(1342 - 1243) + chr(0b10 + 0o155) + '\x64' + chr(0b1000001 + 0o44))(chr(117) + chr(0b11011 + 0o131) + '\x66' + chr(0b11010 + 0o23) + '\070'))()
WVMx0MDZ7fYF = RxqDt8LqC5Ns.open(oqhJDdMJfuwx.path.join(JsZ36NJUqtml, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bp\xa0n\xeb\xff\xaa\xb9\xac\xf0\x14\x7f\xad\xa0\x0f,'), chr(0b1100100) + '\x65' + chr(8151 - 8052) + '\x6f' + chr(100) + chr(101))(chr(3243 - 3126) + '\x74' + chr(519 - 417) + chr(45) + chr(1617 - 1561))))
xafqLlk3kkUe(WVMx0MDZ7fYF, xafqLlk3kkUe(SXOLrMavuUCe(b'\nz\xb5u\xe4\xb1\xb0\xb7\xb6\xf9'), '\x64' + chr(0b110111 + 0o56) + '\x63' + '\x6f' + '\144' + '\145')(chr(6330 - 6213) + chr(0b1110100) + '\x66' + chr(112 - 67) + chr(1594 - 1538)))(JsZ36NJUqtml)
xafqLlk3kkUe(WVMx0MDZ7fYF, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0cn\xaet\xe0'), chr(0b1100100) + chr(101) + chr(0b1000000 + 0o43) + chr(5318 - 5207) + chr(418 - 318) + chr(6934 - 6833))(chr(0b1110101) + chr(4977 - 4861) + chr(9601 - 9499) + chr(1568 - 1523) + chr(56)))()
rbbFI9rmibl3 = oqhJDdMJfuwx.path.join(kVFRD544hi_1, EwmY7ynOlhiF)
if not xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'*z\xa8t\xf1\xa1'), chr(0b111011 + 0o51) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\144' + chr(8125 - 8024))('\165' + chr(7733 - 7617) + chr(0b1100110) + chr(0b101010 + 0o3) + chr(0b11011 + 0o35)))(rbbFI9rmibl3):
with xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'(D\xa8k\xe0'), chr(100) + chr(7105 - 7004) + '\x63' + chr(0b110000 + 0o77) + chr(100) + chr(0b101 + 0o140))(chr(11759 - 11642) + chr(0b1110100) + chr(0b100100 + 0o102) + '\x2d' + chr(0b1 + 0o67)))(xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05m\xa8i'), '\x64' + chr(0b1100101) + chr(0b100 + 0o137) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\x75' + '\x74' + '\146' + '\055' + chr(56)))(JsZ36NJUqtml, iFMQ2VkHb8Kp), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\x6f' + '\x64' + chr(0b1100101))(chr(1450 - 1333) + chr(0b1111 + 0o145) + '\146' + chr(45) + chr(0b111000))) as _ooPzo7FtguO:
Yt95jqiXKpBv = CU5kosqFIwDx.reader(_ooPzo7FtguO, delimiter=xafqLlk3kkUe(SXOLrMavuUCe(b'f'), chr(0b11 + 0o141) + chr(0b1010110 + 0o17) + chr(0b1100011) + chr(12267 - 12156) + chr(0b1001111 + 0o25) + chr(562 - 461))(chr(0b1110101) + '\164' + '\146' + '\x2d' + chr(1014 - 958)))
o34DiSJcu6N2 = [TAK9K32TkBdA[ehT0Px3KOsy9('\x30' + '\x6f' + '\x30', 0b1000)] for TAK9K32TkBdA in Yt95jqiXKpBv]
o34DiSJcu6N2 = [nlRKGg4BkSrY] + o34DiSJcu6N2[:CeyMIoSyrpkQ]
with xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'(D\xa8k\xe0'), chr(8171 - 8071) + '\x65' + '\x63' + '\x6f' + '\144' + '\145')(chr(117) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b101000 + 0o20)))(rbbFI9rmibl3, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18'), '\x64' + chr(9897 - 9796) + chr(8526 - 8427) + '\157' + '\x64' + chr(0b1100101))(chr(0b1001011 + 0o52) + chr(116) + chr(7014 - 6912) + '\055' + '\070')) as VYUfp6Ou9W7x:
xafqLlk3kkUe(VYUfp6Ou9W7x, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18p\xa8s\xe0'), chr(0b100100 + 0o100) + '\145' + '\x63' + chr(111) + chr(4218 - 4118) + '\145')('\x75' + chr(4637 - 4521) + chr(0b1100110) + '\x2d' + '\x38'))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'e'), chr(0b1100100) + chr(0b1100001 + 0o4) + chr(0b1100011) + chr(0b1101111) + chr(4437 - 4337) + '\145')(chr(0b1000011 + 0o62) + chr(0b1100001 + 0o23) + chr(5047 - 4945) + chr(45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x05m\xa8i'), chr(6231 - 6131) + '\145' + '\143' + chr(11205 - 11094) + '\144' + '\145')(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b1010 + 0o43) + '\070'))(o34DiSJcu6N2))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/lambada.py
|
get_dataset_split
|
def get_dataset_split(tmp_dir, split, use_control_set):
"""Gives the file paths with regards to the given split.
Args:
tmp_dir: temp directory
split: dataset split
use_control_set: uses control dataset if true.
Returns:
list of file paths.
"""
if not use_control_set:
dataset_split = {
problem.DatasetSplit.TRAIN: [
f for f in tf.gfile.Glob(
os.path.join(tmp_dir, "train-novels/*/*.txt"))
],
problem.DatasetSplit.EVAL: [
os.path.join(tmp_dir, "lambada_development_plain_text.txt")
],
problem.DatasetSplit.TEST: [
os.path.join(tmp_dir, "lambada_test_plain_text.txt")
]
}
else:
dataset_split = {
problem.DatasetSplit.TRAIN: [
f for f in tf.gfile.Glob(
os.path.join(tmp_dir, "train-novels/*/*.txt"))
],
problem.DatasetSplit.EVAL: [
os.path.join(tmp_dir, "lambada_control_test_data_plain_text.txt")
],
}
return dataset_split[split]
|
python
|
def get_dataset_split(tmp_dir, split, use_control_set):
"""Gives the file paths with regards to the given split.
Args:
tmp_dir: temp directory
split: dataset split
use_control_set: uses control dataset if true.
Returns:
list of file paths.
"""
if not use_control_set:
dataset_split = {
problem.DatasetSplit.TRAIN: [
f for f in tf.gfile.Glob(
os.path.join(tmp_dir, "train-novels/*/*.txt"))
],
problem.DatasetSplit.EVAL: [
os.path.join(tmp_dir, "lambada_development_plain_text.txt")
],
problem.DatasetSplit.TEST: [
os.path.join(tmp_dir, "lambada_test_plain_text.txt")
]
}
else:
dataset_split = {
problem.DatasetSplit.TRAIN: [
f for f in tf.gfile.Glob(
os.path.join(tmp_dir, "train-novels/*/*.txt"))
],
problem.DatasetSplit.EVAL: [
os.path.join(tmp_dir, "lambada_control_test_data_plain_text.txt")
],
}
return dataset_split[split]
|
[
"def",
"get_dataset_split",
"(",
"tmp_dir",
",",
"split",
",",
"use_control_set",
")",
":",
"if",
"not",
"use_control_set",
":",
"dataset_split",
"=",
"{",
"problem",
".",
"DatasetSplit",
".",
"TRAIN",
":",
"[",
"f",
"for",
"f",
"in",
"tf",
".",
"gfile",
".",
"Glob",
"(",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"\"train-novels/*/*.txt\"",
")",
")",
"]",
",",
"problem",
".",
"DatasetSplit",
".",
"EVAL",
":",
"[",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"\"lambada_development_plain_text.txt\"",
")",
"]",
",",
"problem",
".",
"DatasetSplit",
".",
"TEST",
":",
"[",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"\"lambada_test_plain_text.txt\"",
")",
"]",
"}",
"else",
":",
"dataset_split",
"=",
"{",
"problem",
".",
"DatasetSplit",
".",
"TRAIN",
":",
"[",
"f",
"for",
"f",
"in",
"tf",
".",
"gfile",
".",
"Glob",
"(",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"\"train-novels/*/*.txt\"",
")",
")",
"]",
",",
"problem",
".",
"DatasetSplit",
".",
"EVAL",
":",
"[",
"os",
".",
"path",
".",
"join",
"(",
"tmp_dir",
",",
"\"lambada_control_test_data_plain_text.txt\"",
")",
"]",
",",
"}",
"return",
"dataset_split",
"[",
"split",
"]"
] |
Gives the file paths with regards to the given split.
Args:
tmp_dir: temp directory
split: dataset split
use_control_set: uses control dataset if true.
Returns:
list of file paths.
|
[
"Gives",
"the",
"file",
"paths",
"with",
"regards",
"to",
"the",
"given",
"split",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/lambada.py#L89-L126
|
train
|
Returns the file paths with regards to the given split.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(50) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2213 - 2164) + chr(50) + chr(0b110000), 45552 - 45544), ehT0Px3KOsy9(chr(1443 - 1395) + '\x6f' + chr(50) + '\x31' + '\x32', 19994 - 19986), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1101 + 0o46) + chr(0b101 + 0o54) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1581 - 1533) + '\157' + '\x32' + chr(52) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + '\x32' + chr(0b110101) + chr(1203 - 1155), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + chr(51) + chr(0b110110) + chr(0b110101), 21489 - 21481), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\061' + chr(0b110011) + chr(0b110000 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(0b10010 + 0o41) + chr(338 - 290) + chr(0b10101 + 0o42), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + '\x32' + '\067' + chr(0b100101 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + '\x33' + chr(358 - 303) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b101 + 0o56) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + chr(0b100000 + 0o26) + chr(770 - 716), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1110 + 0o141) + '\x33' + chr(49) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001001 + 0o46) + '\062' + chr(0b110001 + 0o0) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11 + 0o154) + '\061' + chr(0b110100 + 0o1) + '\x30', 9645 - 9637), ehT0Px3KOsy9(chr(274 - 226) + chr(4835 - 4724) + chr(53) + chr(0b0 + 0o67), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101000 + 0o12) + chr(55) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(3483 - 3372) + chr(54) + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11111 + 0o24) + chr(48) + chr(1161 - 1112), ord("\x08")), ehT0Px3KOsy9(chr(1470 - 1422) + '\157' + chr(0b110001) + '\x34' + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(1884 - 1832) + chr(2156 - 2105), 60278 - 60270), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(0b10110 + 0o35) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(2085 - 2037) + chr(0b10111 + 0o130) + '\061' + chr(0b110000) + chr(0b110001 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + '\062' + chr(0b110010) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + '\064' + chr(52), 0b1000), ehT0Px3KOsy9(chr(677 - 629) + chr(7121 - 7010) + chr(0b110010) + chr(0b100100 + 0o17), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(0b110101), 57576 - 57568), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b101011 + 0o7) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11101 + 0o24) + chr(53) + '\066', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(227 - 177) + chr(53) + chr(61 - 6), 15079 - 15071), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(49) + chr(889 - 841), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(54) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x34' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1 + 0o156) + chr(0b11100 + 0o31) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1622 - 1573) + chr(53) + '\067', 58386 - 58378), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11001 + 0o32) + chr(0b100 + 0o56) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(11250 - 11139) + '\067' + chr(2624 - 2569), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\x35' + '\x30', 21049 - 21041)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b':'), chr(100) + '\x65' + chr(99) + chr(111) + '\144' + chr(0b1100101))(chr(4418 - 4301) + chr(0b1110100) + chr(5958 - 5856) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def k4uyHklrOx7x(JsZ36NJUqtml, vsJU7GhuEuh6, KQLXmRGKi1uc):
if not KQLXmRGKi1uc:
XqbfPmad1kJ4 = {sO7e1A_Mor6Q.DatasetSplit.TRAIN: [EGyt1xfPT1P6 for EGyt1xfPT1P6 in IDJ2eXGCBCDu.gfile.Glob(oqhJDdMJfuwx.path.join(JsZ36NJUqtml, xafqLlk3kkUe(SXOLrMavuUCe(b'`{1\xe3\xa0\x8c\xc6\x9a+\xa2\xd0\x8d\xf4%\x19\xe7\xa7\x1cW\xca'), '\144' + chr(4415 - 4314) + chr(3220 - 3121) + '\x6f' + '\144' + chr(0b1100101))(chr(12672 - 12555) + '\x74' + '\146' + chr(45) + chr(0b111000))))], sO7e1A_Mor6Q.DatasetSplit.EVAL: [oqhJDdMJfuwx.path.join(JsZ36NJUqtml, xafqLlk3kkUe(SXOLrMavuUCe(b'xh=\xe8\xaf\xc5\xc9\xaa9\xa2\xca\x9b\xb7`F\xa0\xec\x06[\xe1G\xad\x05\xca\xf3\x1e\xe5Aky\xbc\x1a\xd7|'), chr(0b111011 + 0o51) + '\145' + chr(4688 - 4589) + '\157' + chr(0b1 + 0o143) + '\x65')(chr(0b11100 + 0o131) + chr(0b1011 + 0o151) + chr(102) + chr(45) + '\x38'))], sO7e1A_Mor6Q.DatasetSplit.TEST: [oqhJDdMJfuwx.path.join(JsZ36NJUqtml, xafqLlk3kkUe(SXOLrMavuUCe(b'xh=\xe8\xaf\xc5\xc9\xaa)\xa2\xcf\x8a\x84\x7fZ\xac\xe0\x06p\xcaR\xb9\x10\x8d\xe99\xe5'), chr(4894 - 4794) + chr(2113 - 2012) + chr(0b1100011) + chr(0b1100000 + 0o17) + chr(1787 - 1687) + chr(3306 - 3205))('\165' + '\x74' + '\x66' + chr(0b10110 + 0o27) + chr(864 - 808)))]}
else:
XqbfPmad1kJ4 = {sO7e1A_Mor6Q.DatasetSplit.TRAIN: [EGyt1xfPT1P6 for EGyt1xfPT1P6 in IDJ2eXGCBCDu.gfile.Glob(oqhJDdMJfuwx.path.join(JsZ36NJUqtml, xafqLlk3kkUe(SXOLrMavuUCe(b'`{1\xe3\xa0\x8c\xc6\x9a+\xa2\xd0\x8d\xf4%\x19\xe7\xa7\x1cW\xca'), chr(100) + '\145' + chr(99) + '\157' + '\x64' + '\x65')(chr(11082 - 10965) + chr(116) + chr(0b1100110) + chr(0b101101 + 0o0) + chr(0b111000))))], sO7e1A_Mor6Q.DatasetSplit.EVAL: [oqhJDdMJfuwx.path.join(JsZ36NJUqtml, xafqLlk3kkUe(SXOLrMavuUCe(b'xh=\xe8\xaf\xc5\xc9\xaa>\xa8\xd2\x8a\xa9`Z\x92\xfd\r\\\xcah\xa5\x05\xd7\xfc\x1e\xe1Hrd\xfc1\xdbm\t\xd1\x00\x1b\xa9K'), '\144' + chr(0b1010011 + 0o22) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(101))(chr(12287 - 12170) + '\164' + '\x66' + '\x2d' + '\070'))]}
return XqbfPmad1kJ4[vsJU7GhuEuh6]
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/transduction_problems.py
|
TransductionProblem.min_sequence_length
|
def min_sequence_length(self, dataset_split):
"""Determine the minimum sequence length given a dataset_split.
Args:
dataset_split: A problem.DatasetSplit.
Returns:
The minimum length that a sequence can be for this dataset_split.
"""
return {
problem.DatasetSplit.TRAIN: 8,
problem.DatasetSplit.EVAL: 65,
problem.DatasetSplit.TEST: 65
}[dataset_split]
|
python
|
def min_sequence_length(self, dataset_split):
"""Determine the minimum sequence length given a dataset_split.
Args:
dataset_split: A problem.DatasetSplit.
Returns:
The minimum length that a sequence can be for this dataset_split.
"""
return {
problem.DatasetSplit.TRAIN: 8,
problem.DatasetSplit.EVAL: 65,
problem.DatasetSplit.TEST: 65
}[dataset_split]
|
[
"def",
"min_sequence_length",
"(",
"self",
",",
"dataset_split",
")",
":",
"return",
"{",
"problem",
".",
"DatasetSplit",
".",
"TRAIN",
":",
"8",
",",
"problem",
".",
"DatasetSplit",
".",
"EVAL",
":",
"65",
",",
"problem",
".",
"DatasetSplit",
".",
"TEST",
":",
"65",
"}",
"[",
"dataset_split",
"]"
] |
Determine the minimum sequence length given a dataset_split.
Args:
dataset_split: A problem.DatasetSplit.
Returns:
The minimum length that a sequence can be for this dataset_split.
|
[
"Determine",
"the",
"minimum",
"sequence",
"length",
"given",
"a",
"dataset_split",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/transduction_problems.py#L63-L76
|
train
|
Determine the minimum length given a dataset_split.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b10111 + 0o130) + '\063' + chr(50) + chr(0b11100 + 0o31), 39387 - 39379), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110 + 0o56) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(1386 - 1337) + '\061' + chr(2143 - 2095), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(1580 - 1531) + chr(51), 5982 - 5974), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1655 - 1605) + '\065' + chr(53), 30307 - 30299), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101100 + 0o7) + chr(0b110101) + '\x32', 2458 - 2450), ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + chr(50) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1385 - 1337) + chr(0b1101111) + chr(1439 - 1390) + chr(782 - 733) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100011 + 0o20) + chr(55) + chr(0b11001 + 0o31), 0o10), ehT0Px3KOsy9('\060' + chr(4262 - 4151) + '\061' + '\x36' + chr(2237 - 2184), 13120 - 13112), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(52) + chr(549 - 495), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1100011 + 0o14) + chr(0b110001) + chr(0b110100) + chr(50), 29958 - 29950), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(53) + '\x32', 8), ehT0Px3KOsy9(chr(1040 - 992) + chr(10143 - 10032) + '\061' + chr(887 - 837), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\064' + '\x31', 0b1000), ehT0Px3KOsy9(chr(980 - 932) + chr(0b101101 + 0o102) + chr(1062 - 1012) + '\x32' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + '\061' + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b110010) + chr(0b11100 + 0o31), 8), ehT0Px3KOsy9(chr(1102 - 1054) + chr(0b1101111) + '\061' + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1110 + 0o43) + chr(876 - 825), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\061' + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b1001 + 0o50) + chr(452 - 401), 58947 - 58939), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(50) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11010 + 0o30) + chr(1319 - 1270) + chr(53), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\064' + chr(1124 - 1074), 0o10), ehT0Px3KOsy9('\x30' + chr(1719 - 1608) + chr(51) + '\060' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\x36' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(7439 - 7328) + '\061' + chr(0b110110) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(1844 - 1790) + chr(0b110111), 10719 - 10711), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(54) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(50) + chr(0b101100 + 0o6), 0o10), ehT0Px3KOsy9('\x30' + chr(8380 - 8269) + chr(49) + chr(0b11011 + 0o25) + '\x37', 15119 - 15111), ehT0Px3KOsy9('\060' + '\x6f' + '\x36' + '\064', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + '\061' + chr(0b110010) + chr(0b11010 + 0o32), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + '\062' + chr(48) + chr(0b110001 + 0o0), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b110001) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(603 - 554) + chr(0b0 + 0o64) + chr(52), 35848 - 35840), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b110011) + chr(617 - 568), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(53) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb'), '\144' + '\x65' + '\x63' + chr(0b1101111) + chr(0b1011111 + 0o5) + '\145')(chr(0b1010100 + 0o41) + '\x74' + chr(102) + chr(0b101101) + chr(217 - 161)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def YR01Vbsz6Luu(oVre8I6UXc3b, XqbfPmad1kJ4):
return {xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\xb1\t@\x85'), '\144' + '\x65' + chr(0b10101 + 0o116) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(10765 - 10648) + '\164' + chr(0b1100110) + chr(535 - 490) + chr(0b101110 + 0o12))): ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(48), 8), xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\xb5\tE'), chr(0b1100100) + '\145' + '\143' + '\157' + chr(1318 - 1218) + chr(441 - 340))('\165' + chr(116) + '\x66' + chr(45) + chr(0b110011 + 0o5))): ehT0Px3KOsy9(chr(565 - 517) + '\157' + '\061' + '\060' + chr(49), 0b1000), xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\xa6\x1b]'), chr(0b111100 + 0o50) + '\145' + chr(0b1010010 + 0o21) + chr(111) + chr(0b100001 + 0o103) + chr(0b100010 + 0o103))('\165' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(56))): ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(496 - 447) + '\060' + chr(0b1 + 0o60), 8)}[XqbfPmad1kJ4]
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/transduction_problems.py
|
TransductionProblem.max_sequence_length
|
def max_sequence_length(self, dataset_split):
"""Determine the maximum sequence length given a dataset_split.
Args:
dataset_split: A problem.DatasetSplit.
Returns:
The maximum length that a sequence can be for this dataset_split.
"""
return {
problem.DatasetSplit.TRAIN: 64,
problem.DatasetSplit.EVAL: 128,
problem.DatasetSplit.TEST: 128
}[dataset_split]
|
python
|
def max_sequence_length(self, dataset_split):
"""Determine the maximum sequence length given a dataset_split.
Args:
dataset_split: A problem.DatasetSplit.
Returns:
The maximum length that a sequence can be for this dataset_split.
"""
return {
problem.DatasetSplit.TRAIN: 64,
problem.DatasetSplit.EVAL: 128,
problem.DatasetSplit.TEST: 128
}[dataset_split]
|
[
"def",
"max_sequence_length",
"(",
"self",
",",
"dataset_split",
")",
":",
"return",
"{",
"problem",
".",
"DatasetSplit",
".",
"TRAIN",
":",
"64",
",",
"problem",
".",
"DatasetSplit",
".",
"EVAL",
":",
"128",
",",
"problem",
".",
"DatasetSplit",
".",
"TEST",
":",
"128",
"}",
"[",
"dataset_split",
"]"
] |
Determine the maximum sequence length given a dataset_split.
Args:
dataset_split: A problem.DatasetSplit.
Returns:
The maximum length that a sequence can be for this dataset_split.
|
[
"Determine",
"the",
"maximum",
"sequence",
"length",
"given",
"a",
"dataset_split",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/transduction_problems.py#L78-L91
|
train
|
Determine the maximum length given a dataset_split.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(603 - 555) + '\x6f' + chr(0b110001) + chr(0b110011) + chr(1544 - 1491), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2104 - 2052) + chr(0b11001 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + chr(791 - 736) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b110000) + chr(2253 - 2205), 0b1000), ehT0Px3KOsy9('\x30' + chr(4334 - 4223) + chr(0b110011) + chr(52) + '\061', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(0b110111) + '\x37', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(1041 - 990) + chr(1902 - 1847), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(1376 - 1327) + chr(49) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + '\063' + '\063' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\061' + chr(50) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(53) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(10688 - 10577) + chr(0b10111 + 0o33) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10000 + 0o41) + chr(0b100110 + 0o17) + '\x34', 47867 - 47859), ehT0Px3KOsy9(chr(2000 - 1952) + '\157' + chr(50) + '\x34' + chr(0b100010 + 0o20), 0b1000), ehT0Px3KOsy9(chr(869 - 821) + '\157' + chr(0b1001 + 0o51) + '\063' + chr(636 - 587), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\x33' + chr(0b10001 + 0o46) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(943 - 891) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(9077 - 8966) + chr(54) + chr(0b11001 + 0o32), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101101 + 0o2) + chr(581 - 532) + '\x32' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(183 - 132) + chr(0b110001) + chr(1246 - 1193), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5378 - 5267) + '\x33' + chr(0b110010) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(2132 - 2021) + chr(0b101011 + 0o7) + chr(0b100011 + 0o17) + chr(1172 - 1122), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\x32' + '\x30' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\x35' + chr(727 - 679), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + chr(0b11000 + 0o31) + chr(0b110101) + '\x37', 0b1000), ehT0Px3KOsy9(chr(1363 - 1315) + '\x6f' + chr(49) + '\x34' + chr(1500 - 1446), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + chr(468 - 417) + '\x35' + chr(2055 - 2005), 43754 - 43746), ehT0Px3KOsy9(chr(414 - 366) + chr(111) + '\x32' + chr(0b110000) + chr(0b110111), 34360 - 34352), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(2294 - 2246) + chr(0b11 + 0o64), 53394 - 53386), ehT0Px3KOsy9(chr(1990 - 1942) + '\x6f' + chr(0b110010) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b110000) + chr(4926 - 4815) + chr(819 - 768) + chr(1174 - 1123) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\x33' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(0b10 + 0o60) + chr(1386 - 1337) + chr(0b11000 + 0o33), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1 + 0o61) + chr(1453 - 1401) + chr(0b101100 + 0o4), 17166 - 17158), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b0 + 0o66) + chr(52), 0b1000), ehT0Px3KOsy9(chr(1794 - 1746) + chr(0b11000 + 0o127) + '\061' + chr(53) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(1807 - 1757) + chr(2438 - 2388) + chr(0b11110 + 0o31), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(0b1100 + 0o47) + chr(55) + chr(523 - 471), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11100 + 0o32) + chr(54), 0o10), ehT0Px3KOsy9(chr(2137 - 2089) + chr(3711 - 3600) + chr(387 - 336) + '\063' + chr(0b1101 + 0o45), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(72 - 24) + '\157' + '\065' + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b's'), chr(0b111100 + 0o50) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(2370 - 2270) + '\145')('\165' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(317 - 261)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def iiWhkv7vGuBp(oVre8I6UXc3b, XqbfPmad1kJ4):
return {xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\tu~\x89\xaf'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(111) + chr(0b1100001 + 0o3) + '\x65')('\165' + '\x74' + '\146' + chr(1030 - 985) + chr(0b111000))): ehT0Px3KOsy9(chr(855 - 807) + chr(9396 - 9285) + chr(0b110001) + chr(0b110000) + '\060', 14199 - 14191), xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18q~\x8c'), '\144' + chr(101) + '\143' + '\157' + chr(100) + chr(0b1010 + 0o133))('\165' + chr(0b1101000 + 0o14) + chr(5682 - 5580) + chr(0b101101) + '\x38')): ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(0b100 + 0o56) + '\x30' + '\060', 0o10), xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\tbl\x94'), '\144' + chr(1902 - 1801) + chr(0b1100011) + chr(5578 - 5467) + chr(100) + '\145')(chr(117) + chr(0b100111 + 0o115) + chr(1921 - 1819) + chr(0b101101) + chr(56))): ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b11100 + 0o24) + chr(1137 - 1089), 8)}[XqbfPmad1kJ4]
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/transduction_problems.py
|
TransductionProblem.num_samples
|
def num_samples(self, dataset_split):
"""Determine the dataset sized given a dataset_split.
Args:
dataset_split: A problem.DatasetSplit.
Returns:
The desired number of samples for this dataset_split.
"""
return {
problem.DatasetSplit.TRAIN: 1000000,
problem.DatasetSplit.EVAL: 10000,
problem.DatasetSplit.TEST: 10000
}[dataset_split]
|
python
|
def num_samples(self, dataset_split):
"""Determine the dataset sized given a dataset_split.
Args:
dataset_split: A problem.DatasetSplit.
Returns:
The desired number of samples for this dataset_split.
"""
return {
problem.DatasetSplit.TRAIN: 1000000,
problem.DatasetSplit.EVAL: 10000,
problem.DatasetSplit.TEST: 10000
}[dataset_split]
|
[
"def",
"num_samples",
"(",
"self",
",",
"dataset_split",
")",
":",
"return",
"{",
"problem",
".",
"DatasetSplit",
".",
"TRAIN",
":",
"1000000",
",",
"problem",
".",
"DatasetSplit",
".",
"EVAL",
":",
"10000",
",",
"problem",
".",
"DatasetSplit",
".",
"TEST",
":",
"10000",
"}",
"[",
"dataset_split",
"]"
] |
Determine the dataset sized given a dataset_split.
Args:
dataset_split: A problem.DatasetSplit.
Returns:
The desired number of samples for this dataset_split.
|
[
"Determine",
"the",
"dataset",
"sized",
"given",
"a",
"dataset_split",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/transduction_problems.py#L93-L106
|
train
|
Determine the number of samples for this dataset_split.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(3976 - 3865) + chr(650 - 600) + chr(0b1111 + 0o47) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(0b101010 + 0o10) + '\x30' + '\x37', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(480 - 429) + chr(648 - 600) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x30' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(8862 - 8751) + '\x32' + chr(55) + '\065', 18331 - 18323), ehT0Px3KOsy9(chr(2215 - 2167) + '\157' + chr(1155 - 1107), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + chr(0b10010 + 0o40) + '\064' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(0b110 + 0o55) + chr(1923 - 1875) + '\064', 8), ehT0Px3KOsy9('\x30' + chr(1732 - 1621) + chr(1752 - 1701) + '\x35' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(535 - 485) + chr(0b110101 + 0o1) + '\x37', 37027 - 37019), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100110 + 0o17) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010 + 0o0) + '\x30' + chr(781 - 733), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\065' + '\060', 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(49) + '\x33' + '\x32', 43372 - 43364), ehT0Px3KOsy9('\x30' + chr(0b1000010 + 0o55) + chr(48), 8), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(10180 - 10069) + chr(0b110011) + chr(50) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(287 - 237) + chr(0b11010 + 0o35), 44522 - 44514), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(0b110010) + chr(0b100000 + 0o22) + chr(0b110000), 34091 - 34083), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(49) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100011 + 0o16) + chr(0b11011 + 0o33) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1583 - 1535) + chr(111) + chr(0b111 + 0o52) + chr(51) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5114 - 5003) + chr(0b110011) + chr(313 - 264) + chr(0b1111 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(1419 - 1371) + chr(8294 - 8183) + chr(51) + chr(0b1001 + 0o50), 9991 - 9983), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + chr(0b110011) + chr(0b10001 + 0o41) + chr(0b110001), 8), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b110100) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(1957 - 1846) + chr(1609 - 1558) + '\062' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(949 - 838) + '\x31' + '\x32' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1355 - 1306) + '\064' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010100 + 0o33) + chr(0b110010) + chr(0b110111) + '\x30', 0o10), ehT0Px3KOsy9(chr(1358 - 1310) + chr(9246 - 9135) + chr(50) + chr(665 - 612) + chr(1286 - 1235), ord("\x08")), ehT0Px3KOsy9(chr(2037 - 1989) + chr(111) + chr(0b110011 + 0o0) + chr(594 - 540) + chr(0b110011), 8364 - 8356), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + chr(50) + chr(0b110000) + chr(955 - 901), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(1271 - 1160) + '\x37' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1595 - 1547) + chr(129 - 18) + chr(0b110011) + chr(55) + '\061', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(51) + chr(2093 - 2042) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(10667 - 10556) + '\061' + chr(0b110101) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\065' + chr(0b10111 + 0o33), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b110110) + '\x33', 8), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + chr(0b110 + 0o61) + chr(1056 - 1007), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + '\x35' + chr(0b1011 + 0o46), 2377 - 2369)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110101) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d'), chr(0b1100100) + '\x65' + '\x63' + chr(0b1101100 + 0o3) + '\144' + chr(0b1100 + 0o131))('\x75' + '\x74' + chr(102) + chr(1212 - 1167) + chr(0b101001 + 0o17)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Wuetkhsbidt0(oVre8I6UXc3b, XqbfPmad1kJ4):
return {xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xd5\x85\xc8\xf3'), chr(0b11 + 0o141) + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + chr(1768 - 1667))(chr(0b101101 + 0o110) + chr(6437 - 6321) + '\x66' + '\055' + chr(395 - 339))): ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(824 - 773) + '\x36' + chr(0b11010 + 0o32) + chr(1900 - 1851) + '\x31' + '\060' + '\x30', 0b1000), xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xd1\x85\xcd'), '\x64' + chr(0b11 + 0o142) + chr(1834 - 1735) + chr(0b1101111) + '\x64' + chr(4761 - 4660))(chr(0b1110101) + '\164' + '\146' + chr(0b101101) + chr(56))): ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1001010 + 0o45) + chr(0b110010) + chr(0b110011) + '\x34' + '\x32' + chr(0b100101 + 0o13), ord("\x08")), xafqLlk3kkUe(sO7e1A_Mor6Q.DatasetSplit, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xc2\x97\xd5'), chr(100) + chr(101) + '\143' + '\x6f' + '\x64' + chr(0b111100 + 0o51))(chr(0b1011111 + 0o26) + chr(0b1110100) + '\x66' + chr(0b101101) + '\x38')): ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(769 - 719) + chr(1656 - 1605) + chr(144 - 92) + chr(50) + chr(2240 - 2192), 8)}[XqbfPmad1kJ4]
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
next_checkpoint
|
def next_checkpoint(model_dir, timeout_mins=240):
"""Yields successive checkpoints from model_dir.
Args:
model_dir: The directory in which checkpoints are saved.
timeout_mins: The maximum amount of time in minutes to wait
between checkpoints. Set this to -1 to wait indefinitely.
Yields:
last_ckpt: a new checkpoint path, or None if the timeout was reached.
"""
last_ckpt = None
timeout_secs = None
if timeout_mins != -1:
timeout_secs = timeout_mins * 60
while True:
last_ckpt = tf.contrib.training.wait_for_new_checkpoint(
model_dir, last_ckpt, seconds_to_sleep=60, timeout=timeout_secs)
if last_ckpt is None:
tf.logging.info(
"Eval timeout: no new checkpoints within %dm" % timeout_mins)
break
yield last_ckpt
|
python
|
def next_checkpoint(model_dir, timeout_mins=240):
"""Yields successive checkpoints from model_dir.
Args:
model_dir: The directory in which checkpoints are saved.
timeout_mins: The maximum amount of time in minutes to wait
between checkpoints. Set this to -1 to wait indefinitely.
Yields:
last_ckpt: a new checkpoint path, or None if the timeout was reached.
"""
last_ckpt = None
timeout_secs = None
if timeout_mins != -1:
timeout_secs = timeout_mins * 60
while True:
last_ckpt = tf.contrib.training.wait_for_new_checkpoint(
model_dir, last_ckpt, seconds_to_sleep=60, timeout=timeout_secs)
if last_ckpt is None:
tf.logging.info(
"Eval timeout: no new checkpoints within %dm" % timeout_mins)
break
yield last_ckpt
|
[
"def",
"next_checkpoint",
"(",
"model_dir",
",",
"timeout_mins",
"=",
"240",
")",
":",
"last_ckpt",
"=",
"None",
"timeout_secs",
"=",
"None",
"if",
"timeout_mins",
"!=",
"-",
"1",
":",
"timeout_secs",
"=",
"timeout_mins",
"*",
"60",
"while",
"True",
":",
"last_ckpt",
"=",
"tf",
".",
"contrib",
".",
"training",
".",
"wait_for_new_checkpoint",
"(",
"model_dir",
",",
"last_ckpt",
",",
"seconds_to_sleep",
"=",
"60",
",",
"timeout",
"=",
"timeout_secs",
")",
"if",
"last_ckpt",
"is",
"None",
":",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Eval timeout: no new checkpoints within %dm\"",
"%",
"timeout_mins",
")",
"break",
"yield",
"last_ckpt"
] |
Yields successive checkpoints from model_dir.
Args:
model_dir: The directory in which checkpoints are saved.
timeout_mins: The maximum amount of time in minutes to wait
between checkpoints. Set this to -1 to wait indefinitely.
Yields:
last_ckpt: a new checkpoint path, or None if the timeout was reached.
|
[
"Yields",
"successive",
"checkpoints",
"from",
"model_dir",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L46-L69
|
train
|
Yields successive checkpoints from model_dir.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b11010 + 0o30) + '\064' + chr(2704 - 2650), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(517 - 467) + '\060', 52767 - 52759), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(11540 - 11429) + chr(0b110011) + chr(2368 - 2319), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(48) + '\x32', 45948 - 45940), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1000011 + 0o54) + '\x33' + chr(0b10101 + 0o37), 0o10), ehT0Px3KOsy9(chr(1602 - 1554) + '\x6f' + '\061' + chr(0b110000) + chr(0b11010 + 0o30), 44905 - 44897), ehT0Px3KOsy9(chr(1691 - 1643) + chr(0b11101 + 0o122) + chr(0b110010) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(632 - 584) + chr(1618 - 1507) + '\065' + '\x32', 12338 - 12330), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10101 + 0o35) + '\x35' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1100 + 0o46) + '\x33' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(375 - 321), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(594 - 544) + chr(1891 - 1843) + chr(48), 32085 - 32077), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(51) + chr(52) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(1693 - 1642) + '\065' + '\x34', 38711 - 38703), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101111 + 0o4) + '\061' + chr(52), 57378 - 57370), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(169 - 120) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b110001 + 0o3) + chr(717 - 669), 26258 - 26250), ehT0Px3KOsy9('\x30' + chr(2062 - 1951) + '\x32', 34463 - 34455), ehT0Px3KOsy9(chr(2176 - 2128) + chr(4955 - 4844) + chr(52) + chr(326 - 274), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + chr(0b110010) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + chr(54) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(49) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b110100) + '\063', 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\065' + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(0b101101 + 0o102) + chr(969 - 919) + chr(1772 - 1721) + chr(53), 63724 - 63716), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(2850 - 2795), 62455 - 62447), ehT0Px3KOsy9(chr(1741 - 1693) + chr(111) + chr(1516 - 1462) + chr(0b101 + 0o62), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + '\x33' + '\x34' + '\063', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(1741 - 1688) + chr(0b10100 + 0o34), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100001 + 0o21) + chr(897 - 849) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101 + 0o61) + chr(55), 8), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(0b110010) + '\x37' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + '\063' + '\x32' + '\064', 23415 - 23407), ehT0Px3KOsy9(chr(48) + chr(1843 - 1732) + chr(50) + chr(50) + '\064', 18583 - 18575), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(1457 - 1406) + '\063' + '\060', 21522 - 21514), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(0b10001 + 0o41) + '\061' + chr(50), 13232 - 13224), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\063' + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + chr(49) + '\060' + '\063', 55172 - 55164), ehT0Px3KOsy9(chr(48) + chr(9738 - 9627) + '\061' + chr(335 - 286), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(48) + chr(1795 - 1746), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(0b1111 + 0o46) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x88'), chr(100) + chr(6189 - 6088) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(6952 - 6851))(chr(0b1010001 + 0o44) + chr(116) + chr(102) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def LpVKbHVStaU3(kwWCbiWUCezq, zuOpdT1IaOSQ=ehT0Px3KOsy9(chr(1591 - 1543) + '\x6f' + chr(2069 - 2018) + chr(54) + chr(913 - 865), 57979 - 57971)):
tLgpiDBBCReq = None
LPLo6qsIxjnV = None
if zuOpdT1IaOSQ != -ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + chr(1784 - 1735), 2974 - 2966):
LPLo6qsIxjnV = zuOpdT1IaOSQ * ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + chr(658 - 603) + chr(0b111 + 0o55), ord("\x08"))
while ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + '\x31', 8):
tLgpiDBBCReq = IDJ2eXGCBCDu.contrib.training.wait_for_new_checkpoint(kwWCbiWUCezq, tLgpiDBBCReq, seconds_to_sleep=ehT0Px3KOsy9(chr(237 - 189) + chr(0b1101111) + '\x37' + chr(0b110100), 8), timeout=LPLo6qsIxjnV)
if tLgpiDBBCReq is None:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5gQ\xfai!v\x1d\xc3\xf5D\xeb'), chr(0b1100100) + chr(5073 - 4972) + chr(99) + '\x6f' + chr(1258 - 1158) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(8278 - 8176) + chr(45) + chr(2641 - 2585)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3&x\xee<6xG\xcc\xf6k\xf4\xdc\xcc\xa2!\xc0lA`\x14\xa8\x8bK\xfedG\x8c\x01\xeaC\xcd\xf4\xe3\xb1\xfe6*g\xa1\x834t'), chr(4574 - 4474) + '\145' + chr(3114 - 3015) + chr(0b111001 + 0o66) + chr(100) + '\145')('\165' + chr(1309 - 1193) + chr(0b1100110) + chr(45) + chr(0b111000)) % zuOpdT1IaOSQ)
break
yield tLgpiDBBCReq
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
next_undecoded_checkpoint
|
def next_undecoded_checkpoint(model_dir, timeout_mins=240):
"""Yields successive checkpoints from model_dir."""
last_ckpt = None
last_step = 0
while True:
# Get the latest checkpoint.
last_ckpt = tf.contrib.training.wait_for_new_checkpoint(
model_dir, last_ckpt, seconds_to_sleep=60, timeout=60 * timeout_mins)
# Get all the checkpoint from the model dir.
ckpt_path = tf.train.get_checkpoint_state(model_dir)
all_model_checkpoint_paths = ckpt_path.all_model_checkpoint_paths
ckpt_step = np.inf
next_ckpt = None
# Find the next checkpoint to eval based on last_step.
for ckpt in all_model_checkpoint_paths:
step = int(os.path.basename(ckpt).split("-")[1])
if step > last_step and step < ckpt_step:
ckpt_step = step
next_ckpt = ckpt
# If all the checkpoints have been evaluated.
if last_ckpt is None and next_ckpt is None:
tf.logging.info(
"Eval timeout: no new checkpoints within %dm" % timeout_mins)
break
if next_ckpt is not None:
last_step = ckpt_step
last_ckpt = next_ckpt
yield last_ckpt
|
python
|
def next_undecoded_checkpoint(model_dir, timeout_mins=240):
"""Yields successive checkpoints from model_dir."""
last_ckpt = None
last_step = 0
while True:
# Get the latest checkpoint.
last_ckpt = tf.contrib.training.wait_for_new_checkpoint(
model_dir, last_ckpt, seconds_to_sleep=60, timeout=60 * timeout_mins)
# Get all the checkpoint from the model dir.
ckpt_path = tf.train.get_checkpoint_state(model_dir)
all_model_checkpoint_paths = ckpt_path.all_model_checkpoint_paths
ckpt_step = np.inf
next_ckpt = None
# Find the next checkpoint to eval based on last_step.
for ckpt in all_model_checkpoint_paths:
step = int(os.path.basename(ckpt).split("-")[1])
if step > last_step and step < ckpt_step:
ckpt_step = step
next_ckpt = ckpt
# If all the checkpoints have been evaluated.
if last_ckpt is None and next_ckpt is None:
tf.logging.info(
"Eval timeout: no new checkpoints within %dm" % timeout_mins)
break
if next_ckpt is not None:
last_step = ckpt_step
last_ckpt = next_ckpt
yield last_ckpt
|
[
"def",
"next_undecoded_checkpoint",
"(",
"model_dir",
",",
"timeout_mins",
"=",
"240",
")",
":",
"last_ckpt",
"=",
"None",
"last_step",
"=",
"0",
"while",
"True",
":",
"# Get the latest checkpoint.",
"last_ckpt",
"=",
"tf",
".",
"contrib",
".",
"training",
".",
"wait_for_new_checkpoint",
"(",
"model_dir",
",",
"last_ckpt",
",",
"seconds_to_sleep",
"=",
"60",
",",
"timeout",
"=",
"60",
"*",
"timeout_mins",
")",
"# Get all the checkpoint from the model dir.",
"ckpt_path",
"=",
"tf",
".",
"train",
".",
"get_checkpoint_state",
"(",
"model_dir",
")",
"all_model_checkpoint_paths",
"=",
"ckpt_path",
".",
"all_model_checkpoint_paths",
"ckpt_step",
"=",
"np",
".",
"inf",
"next_ckpt",
"=",
"None",
"# Find the next checkpoint to eval based on last_step.",
"for",
"ckpt",
"in",
"all_model_checkpoint_paths",
":",
"step",
"=",
"int",
"(",
"os",
".",
"path",
".",
"basename",
"(",
"ckpt",
")",
".",
"split",
"(",
"\"-\"",
")",
"[",
"1",
"]",
")",
"if",
"step",
">",
"last_step",
"and",
"step",
"<",
"ckpt_step",
":",
"ckpt_step",
"=",
"step",
"next_ckpt",
"=",
"ckpt",
"# If all the checkpoints have been evaluated.",
"if",
"last_ckpt",
"is",
"None",
"and",
"next_ckpt",
"is",
"None",
":",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Eval timeout: no new checkpoints within %dm\"",
"%",
"timeout_mins",
")",
"break",
"if",
"next_ckpt",
"is",
"not",
"None",
":",
"last_step",
"=",
"ckpt_step",
"last_ckpt",
"=",
"next_ckpt",
"yield",
"last_ckpt"
] |
Yields successive checkpoints from model_dir.
|
[
"Yields",
"successive",
"checkpoints",
"from",
"model_dir",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L72-L102
|
train
|
Yields successive checkpoints from model_dir.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(435 - 387) + chr(111) + '\061' + '\060' + chr(1461 - 1409), 32442 - 32434), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(474 - 424) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(11182 - 11071) + chr(0b110000 + 0o1) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + chr(2593 - 2541) + chr(671 - 620), 12581 - 12573), ehT0Px3KOsy9(chr(739 - 691) + chr(0b1011101 + 0o22) + chr(0b101101 + 0o6) + chr(2093 - 2044) + chr(0b11011 + 0o25), 0b1000), ehT0Px3KOsy9(chr(481 - 433) + chr(111) + '\x31' + '\x32' + chr(53), 22279 - 22271), ehT0Px3KOsy9(chr(691 - 643) + chr(8438 - 8327) + chr(50) + '\x34' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(0b110010) + '\064' + chr(279 - 225), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1431 - 1381) + chr(0b110000 + 0o3) + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(0b110010) + chr(51), 0b1000), ehT0Px3KOsy9(chr(1064 - 1016) + chr(0b10110 + 0o131) + chr(305 - 254) + chr(53) + chr(49), 25684 - 25676), ehT0Px3KOsy9('\x30' + chr(3264 - 3153) + '\062' + chr(0b101 + 0o57) + '\x36', 8), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(1192 - 1137) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\066' + chr(0b110010 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(49) + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(2583 - 2532) + chr(1561 - 1512), 24469 - 24461), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + chr(0b1011 + 0o50) + chr(0b110111) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(1004 - 952) + chr(1337 - 1284), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(0b110011) + chr(48), 0o10), ehT0Px3KOsy9(chr(819 - 771) + chr(0b1101111) + chr(0b110011) + chr(52) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(178 - 130) + '\157' + chr(0b110010) + chr(1488 - 1434) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3183 - 3072) + chr(131 - 81) + '\066' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9764 - 9653) + chr(0b1101 + 0o45) + chr(0b100000 + 0o23) + '\x36', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100001 + 0o21) + '\x30' + '\x30', 0o10), ehT0Px3KOsy9(chr(758 - 710) + chr(111) + chr(0b0 + 0o64) + chr(0b110110 + 0o1), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\067' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + '\063' + chr(1374 - 1321) + chr(0b10110 + 0o33), 8), ehT0Px3KOsy9(chr(1790 - 1742) + chr(111) + chr(49) + '\063' + chr(293 - 242), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + chr(206 - 155) + chr(51) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b10111 + 0o130) + '\061' + '\x36' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(127 - 79) + chr(111) + chr(476 - 427) + chr(1620 - 1567) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11001 + 0o32) + chr(0b110111) + chr(0b110101), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b10001 + 0o42) + chr(0b101001 + 0o7) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10 + 0o63) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b100010 + 0o115) + chr(0b110011) + chr(0b10001 + 0o44) + chr(2469 - 2415), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b110011) + chr(0b11101 + 0o30), 40795 - 40787), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\x33' + chr(0b1111 + 0o45) + '\x34', 8), ehT0Px3KOsy9(chr(746 - 698) + chr(0b1101111) + chr(51) + chr(263 - 212) + chr(1476 - 1427), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(357 - 309) + '\157' + chr(53) + chr(48), 22076 - 22068)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'j'), '\x64' + chr(101) + chr(0b1101 + 0o126) + chr(5281 - 5170) + chr(0b11110 + 0o106) + '\x65')(chr(12628 - 12511) + '\164' + chr(0b1100100 + 0o2) + chr(1150 - 1105) + chr(0b10011 + 0o45)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZXaxGIM1EKxl(kwWCbiWUCezq, zuOpdT1IaOSQ=ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b11111 + 0o27) + '\x30', 14286 - 14278)):
tLgpiDBBCReq = None
pmvkCxKUs2Us = ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(1209 - 1161), 0o10)
while ehT0Px3KOsy9('\x30' + '\157' + chr(1180 - 1131), 0b1000):
tLgpiDBBCReq = IDJ2eXGCBCDu.contrib.training.wait_for_new_checkpoint(kwWCbiWUCezq, tLgpiDBBCReq, seconds_to_sleep=ehT0Px3KOsy9(chr(0b110000) + chr(0b1001 + 0o146) + '\067' + chr(0b110100), 33461 - 33453), timeout=ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(2404 - 2349) + '\064', 8) * zuOpdT1IaOSQ)
GWFmOaEx1yQ8 = IDJ2eXGCBCDu.train.get_checkpoint_state(kwWCbiWUCezq)
qfbHvJ70OZ9r = GWFmOaEx1yQ8.all_model_checkpoint_paths
F9AezvemrLVW = WqUC3KWvYVup.inf
AxvMhMBwAKzm = None
for NjM4QqAJGres in qfbHvJ70OZ9r:
kDuFsAhEatcU = ehT0Px3KOsy9(oqhJDdMJfuwx.path.basename(NjM4QqAJGres).split(xafqLlk3kkUe(SXOLrMavuUCe(b'i'), chr(0b1000011 + 0o41) + '\x65' + chr(99) + chr(1752 - 1641) + chr(0b1100100) + '\x65')(chr(0b1010111 + 0o36) + chr(6885 - 6769) + '\x66' + '\x2d' + chr(0b101001 + 0o17)))[ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1001010 + 0o45) + chr(0b110 + 0o53), 8)])
if kDuFsAhEatcU > pmvkCxKUs2Us and kDuFsAhEatcU < F9AezvemrLVW:
F9AezvemrLVW = kDuFsAhEatcU
AxvMhMBwAKzm = NjM4QqAJGres
if tLgpiDBBCReq is None and AxvMhMBwAKzm is None:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xa5@[\xbd6\xc0\x91\xf4\xff\xb3\xcd'), '\x64' + chr(101) + chr(0b110001 + 0o62) + chr(0b1101111) + chr(0b111000 + 0o54) + chr(0b1100101))('\165' + '\164' + chr(6021 - 5919) + chr(0b100011 + 0o12) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xe4iO\xe8!\xce\xcb\xfb\xfc\x9c\xd2?X\x9b\xe0\xf9\x94\xc0o\xc4\xd6\xdc\xfb\xe3L\x8d\x862\xb0\x01\x1f\xdd\xb7B\x9ae4\x8a\xf9a\xf6e'), '\144' + chr(101) + chr(8421 - 8322) + chr(0b1000 + 0o147) + '\x64' + chr(2059 - 1958))('\165' + chr(10012 - 9896) + chr(0b1010101 + 0o21) + '\x2d' + chr(56)) % zuOpdT1IaOSQ)
break
if AxvMhMBwAKzm is not None:
pmvkCxKUs2Us = F9AezvemrLVW
tLgpiDBBCReq = AxvMhMBwAKzm
yield tLgpiDBBCReq
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
create_session_config
|
def create_session_config(log_device_placement=False,
enable_graph_rewriter=False,
gpu_mem_fraction=0.95,
use_tpu=False,
xla_jit_level=tf.OptimizerOptions.OFF,
inter_op_parallelism_threads=0,
intra_op_parallelism_threads=0):
"""The TensorFlow Session config to use."""
if use_tpu:
graph_options = tf.GraphOptions()
else:
if enable_graph_rewriter:
rewrite_options = rewriter_config_pb2.RewriterConfig()
rewrite_options.layout_optimizer = rewriter_config_pb2.RewriterConfig.ON
graph_options = tf.GraphOptions(rewrite_options=rewrite_options)
else:
graph_options = tf.GraphOptions(
optimizer_options=tf.OptimizerOptions(
opt_level=tf.OptimizerOptions.L1,
do_function_inlining=False,
global_jit_level=xla_jit_level))
gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=gpu_mem_fraction)
config = tf.ConfigProto(
allow_soft_placement=True,
graph_options=graph_options,
gpu_options=gpu_options,
log_device_placement=log_device_placement,
inter_op_parallelism_threads=inter_op_parallelism_threads,
intra_op_parallelism_threads=intra_op_parallelism_threads,
isolate_session_state=True)
return config
|
python
|
def create_session_config(log_device_placement=False,
enable_graph_rewriter=False,
gpu_mem_fraction=0.95,
use_tpu=False,
xla_jit_level=tf.OptimizerOptions.OFF,
inter_op_parallelism_threads=0,
intra_op_parallelism_threads=0):
"""The TensorFlow Session config to use."""
if use_tpu:
graph_options = tf.GraphOptions()
else:
if enable_graph_rewriter:
rewrite_options = rewriter_config_pb2.RewriterConfig()
rewrite_options.layout_optimizer = rewriter_config_pb2.RewriterConfig.ON
graph_options = tf.GraphOptions(rewrite_options=rewrite_options)
else:
graph_options = tf.GraphOptions(
optimizer_options=tf.OptimizerOptions(
opt_level=tf.OptimizerOptions.L1,
do_function_inlining=False,
global_jit_level=xla_jit_level))
gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=gpu_mem_fraction)
config = tf.ConfigProto(
allow_soft_placement=True,
graph_options=graph_options,
gpu_options=gpu_options,
log_device_placement=log_device_placement,
inter_op_parallelism_threads=inter_op_parallelism_threads,
intra_op_parallelism_threads=intra_op_parallelism_threads,
isolate_session_state=True)
return config
|
[
"def",
"create_session_config",
"(",
"log_device_placement",
"=",
"False",
",",
"enable_graph_rewriter",
"=",
"False",
",",
"gpu_mem_fraction",
"=",
"0.95",
",",
"use_tpu",
"=",
"False",
",",
"xla_jit_level",
"=",
"tf",
".",
"OptimizerOptions",
".",
"OFF",
",",
"inter_op_parallelism_threads",
"=",
"0",
",",
"intra_op_parallelism_threads",
"=",
"0",
")",
":",
"if",
"use_tpu",
":",
"graph_options",
"=",
"tf",
".",
"GraphOptions",
"(",
")",
"else",
":",
"if",
"enable_graph_rewriter",
":",
"rewrite_options",
"=",
"rewriter_config_pb2",
".",
"RewriterConfig",
"(",
")",
"rewrite_options",
".",
"layout_optimizer",
"=",
"rewriter_config_pb2",
".",
"RewriterConfig",
".",
"ON",
"graph_options",
"=",
"tf",
".",
"GraphOptions",
"(",
"rewrite_options",
"=",
"rewrite_options",
")",
"else",
":",
"graph_options",
"=",
"tf",
".",
"GraphOptions",
"(",
"optimizer_options",
"=",
"tf",
".",
"OptimizerOptions",
"(",
"opt_level",
"=",
"tf",
".",
"OptimizerOptions",
".",
"L1",
",",
"do_function_inlining",
"=",
"False",
",",
"global_jit_level",
"=",
"xla_jit_level",
")",
")",
"gpu_options",
"=",
"tf",
".",
"GPUOptions",
"(",
"per_process_gpu_memory_fraction",
"=",
"gpu_mem_fraction",
")",
"config",
"=",
"tf",
".",
"ConfigProto",
"(",
"allow_soft_placement",
"=",
"True",
",",
"graph_options",
"=",
"graph_options",
",",
"gpu_options",
"=",
"gpu_options",
",",
"log_device_placement",
"=",
"log_device_placement",
",",
"inter_op_parallelism_threads",
"=",
"inter_op_parallelism_threads",
",",
"intra_op_parallelism_threads",
"=",
"intra_op_parallelism_threads",
",",
"isolate_session_state",
"=",
"True",
")",
"return",
"config"
] |
The TensorFlow Session config to use.
|
[
"The",
"TensorFlow",
"Session",
"config",
"to",
"use",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L105-L137
|
train
|
Create a TensorFlow Session config.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(1801 - 1750) + chr(0b11110 + 0o23), 1839 - 1831), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b10100 + 0o36) + chr(0b110111) + '\x31', 5933 - 5925), ehT0Px3KOsy9(chr(1908 - 1860) + chr(6580 - 6469) + chr(640 - 591) + chr(50) + chr(2185 - 2137), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2945 - 2890) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1183 - 1135) + chr(111) + '\x31' + '\x31' + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x34' + chr(51), 0o10), ehT0Px3KOsy9(chr(1583 - 1535) + chr(0b111000 + 0o67) + '\x31' + '\x35' + chr(0b10001 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1493 - 1382) + '\063' + '\061' + chr(0b110101), 8695 - 8687), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b110010) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\x36' + chr(1269 - 1216), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\062' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6666 - 6555) + chr(0b110010) + chr(0b11110 + 0o22) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1 + 0o62) + chr(0b110011) + '\066', 7102 - 7094), ehT0Px3KOsy9('\060' + chr(8583 - 8472) + chr(399 - 348) + chr(0b11011 + 0o25) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1010010 + 0o35) + chr(0b110011) + chr(0b110010) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(54) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b101 + 0o152) + '\x33' + chr(0b110111) + '\064', 54661 - 54653), ehT0Px3KOsy9('\x30' + chr(341 - 230) + chr(0b11001 + 0o32) + '\x36' + chr(0b11101 + 0o23), 56287 - 56279), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110100) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(48) + chr(0b101100 + 0o4), 53547 - 53539), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(52) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + chr(0b110001) + '\061' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(51) + chr(50) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6753 - 6642) + '\x33' + chr(2271 - 2217) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6133 - 6022) + '\x32' + '\060' + chr(0b11 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7459 - 7348) + chr(0b110001) + '\067' + chr(564 - 512), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(735 - 686) + chr(0b11 + 0o64) + chr(1560 - 1509), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b100110 + 0o12) + chr(48), 8), ehT0Px3KOsy9(chr(2258 - 2210) + chr(111) + chr(0b110001) + '\063' + '\067', 54307 - 54299), ehT0Px3KOsy9('\x30' + chr(111) + chr(2007 - 1958) + chr(0b10011 + 0o35) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + '\x32' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1360 - 1312) + chr(0b1101 + 0o142) + chr(1138 - 1088) + chr(550 - 502) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\064' + chr(158 - 106), 199 - 191), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b111111 + 0o60) + chr(0b110011) + '\x35' + chr(0b110111), 38403 - 38395), ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + '\066' + chr(0b101010 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(632 - 584) + chr(381 - 270) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10010 + 0o40) + '\x37' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\x31' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(55) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110111) + chr(0b1101 + 0o51), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'w'), chr(2112 - 2012) + '\145' + '\x63' + chr(0b1101111) + '\x64' + '\x65')('\x75' + '\164' + chr(0b1100110) + '\055' + chr(1843 - 1787)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MUV_pdJm0Mvy(jLR85hzyfoRh=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11010 + 0o26), 0o10), ohoMKdKOEITH=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 8), ihkawEQel1wu=0.95, L4eE7kczIJwa=ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + chr(0b1000 + 0o50), 8), gUUrfYiiypuR=xafqLlk3kkUe(IDJ2eXGCBCDu.OptimizerOptions, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\xff\x16'), chr(100) + chr(0b1100101) + '\143' + '\x6f' + chr(8897 - 8797) + '\145')('\165' + '\x74' + chr(3447 - 3345) + chr(0b101101) + '\070')), ucMxMp1AkzEu=ehT0Px3KOsy9(chr(48) + chr(0b101010 + 0o105) + '\060', 8), bkRRP8Q93yau=ehT0Px3KOsy9('\x30' + chr(0b110011 + 0o74) + chr(0b110000), 8)):
if L4eE7kczIJwa:
d75LmyKgPyz9 = IDJ2eXGCBCDu.GraphOptions()
elif ohoMKdKOEITH:
gyAD5Qyes3DZ = zn5BlEXa0wIz.RewriterConfig()
gyAD5Qyes3DZ.LqvuUeOVaePi = zn5BlEXa0wIz.RewriterConfig.ON
d75LmyKgPyz9 = IDJ2eXGCBCDu.GraphOptions(rewrite_options=gyAD5Qyes3DZ)
else:
d75LmyKgPyz9 = IDJ2eXGCBCDu.GraphOptions(optimizer_options=IDJ2eXGCBCDu.OptimizerOptions(opt_level=IDJ2eXGCBCDu.OptimizerOptions.L1, do_function_inlining=ehT0Px3KOsy9(chr(48) + chr(0b1001111 + 0o40) + '\x30', 8), global_jit_level=gUUrfYiiypuR))
CsSGmu4zbodb = IDJ2eXGCBCDu.GPUOptions(per_process_gpu_memory_fraction=ihkawEQel1wu)
jAj7S20Ct06o = IDJ2eXGCBCDu.ConfigProto(allow_soft_placement=ehT0Px3KOsy9(chr(676 - 628) + chr(0b1101111) + '\x31', 0o10), graph_options=d75LmyKgPyz9, gpu_options=CsSGmu4zbodb, log_device_placement=jLR85hzyfoRh, inter_op_parallelism_threads=ucMxMp1AkzEu, intra_op_parallelism_threads=bkRRP8Q93yau, isolate_session_state=ehT0Px3KOsy9(chr(87 - 39) + '\157' + chr(0b1110 + 0o43), 8))
return jAj7S20Ct06o
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
create_run_config
|
def create_run_config(model_name,
master="",
model_dir=None,
iterations_per_loop=1000,
num_shards=8,
log_device_placement=False,
save_checkpoints_steps=1000,
save_checkpoints_secs=None,
keep_checkpoint_max=20,
keep_checkpoint_every_n_hours=10000,
num_gpus=1,
gpu_order="",
num_async_replicas=1,
enable_graph_rewriter=False,
gpu_mem_fraction=0.95,
no_data_parallelism=False,
optionally_use_dist_strat=False,
daisy_chain_variables=True,
schedule="continuous_train_and_eval",
worker_job="/job:localhost",
worker_id=0,
ps_replicas=0,
ps_job="/job:ps",
ps_gpu=0,
random_seed=None,
sync=False,
tpu_infeed_sleep_secs=None,
use_tpu=False,
use_tpu_estimator=False,
xla_jit_level=tf.OptimizerOptions.OFF,
inter_op_parallelism_threads=0,
log_step_count_steps=100,
intra_op_parallelism_threads=0,
tpu_config_extra_kwargs=None,
cloud_tpu_name=""):
"""Create RunConfig, TPUConfig, and Parallelism object."""
session_config = create_session_config(
log_device_placement=log_device_placement,
enable_graph_rewriter=enable_graph_rewriter,
gpu_mem_fraction=gpu_mem_fraction,
use_tpu=use_tpu,
xla_jit_level=xla_jit_level,
inter_op_parallelism_threads=inter_op_parallelism_threads,
intra_op_parallelism_threads=intra_op_parallelism_threads)
run_config_args = {
"master": master,
"evaluation_master": master,
"model_dir": model_dir,
"session_config": session_config,
"save_summary_steps": 100,
"save_checkpoints_steps": save_checkpoints_steps,
"save_checkpoints_secs": save_checkpoints_secs,
"keep_checkpoint_max": keep_checkpoint_max,
"keep_checkpoint_every_n_hours": keep_checkpoint_every_n_hours,
"tf_random_seed": random_seed,
"log_step_count_steps": log_step_count_steps
}
if save_checkpoints_secs:
del run_config_args["save_checkpoints_steps"]
run_config_cls = tf.contrib.learn.RunConfig
if use_tpu or use_tpu_estimator:
# If using TPUEstimator, use TPU RunConfig, add TPUConfig, and add
# additional args.
tpu_config_kwargs = {
"iterations_per_loop": iterations_per_loop,
"num_shards": num_shards,
"per_host_input_for_training": True,
"initial_infeed_sleep_secs": tpu_infeed_sleep_secs,
}
if tpu_config_extra_kwargs is not None:
tpu_config_kwargs.update(tpu_config_extra_kwargs)
run_config_cls = tf.contrib.tpu.RunConfig
tpu_config = tf.contrib.tpu.TPUConfig(
**tpu_config_kwargs)
run_config_args["tpu_config"] = tpu_config
if not master and "KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS" in os.environ:
# If running on TPU but no master is set and the KUBE env var is present
# then we're running on ML Engine. Set the master.
run_config_args["master"] = os.environ[
"KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS"]
run_config_args["evaluation_master"] = run_config_args["master"]
elif not master and cloud_tpu_name:
# Update run_config to use cluster instead of master/evaluation_master
# as we need the cluster spec to use Cloud Pods
tpu_cluster_resolver = tf.contrib.cluster_resolver.TPUClusterResolver(
cloud_tpu_name)
run_config_args["cluster"] = tpu_cluster_resolver
del run_config_args["master"]
del run_config_args["evaluation_master"]
elif is_cloud_async_distributed():
run_config_cls = tf.estimator.RunConfig
del run_config_args["master"]
del run_config_args["evaluation_master"]
config = run_config_cls(**run_config_args)
# If not using TPU, add device info for data_parallelism
config.use_tpu = use_tpu
if not use_tpu:
config.t2t_device_info = {
"num_async_replicas": num_async_replicas,
}
use_distribution_strategy = (
optionally_use_dist_strat and
t2t_model.T2TModel.has_symmetric_shards(model_name) and
not no_data_parallelism and ps_replicas == 0 and ps_gpu == 0 and
num_async_replicas == 1)
if use_distribution_strategy:
tf.logging.info(
"Configuring MirroredStrategy DistributionStrategy to replicate the "
"model."
)
distribution = tf.contrib.distribute.MirroredStrategy()
config = config.replace(train_distribute=distribution)
config.data_parallelism = None
else:
tf.logging.info("Configuring DataParallelism to replicate the model.")
config.data_parallelism = devices.data_parallelism(
daisy_chain_variables=daisy_chain_variables,
ps_replicas=ps_replicas,
ps_job=ps_job,
ps_gpu=ps_gpu,
schedule=schedule,
sync=sync,
worker_gpu=num_gpus,
worker_replicas=num_async_replicas,
worker_id=worker_id,
gpu_order=gpu_order,
worker_job=worker_job,
no_data_parallelism=no_data_parallelism)
return config
|
python
|
def create_run_config(model_name,
master="",
model_dir=None,
iterations_per_loop=1000,
num_shards=8,
log_device_placement=False,
save_checkpoints_steps=1000,
save_checkpoints_secs=None,
keep_checkpoint_max=20,
keep_checkpoint_every_n_hours=10000,
num_gpus=1,
gpu_order="",
num_async_replicas=1,
enable_graph_rewriter=False,
gpu_mem_fraction=0.95,
no_data_parallelism=False,
optionally_use_dist_strat=False,
daisy_chain_variables=True,
schedule="continuous_train_and_eval",
worker_job="/job:localhost",
worker_id=0,
ps_replicas=0,
ps_job="/job:ps",
ps_gpu=0,
random_seed=None,
sync=False,
tpu_infeed_sleep_secs=None,
use_tpu=False,
use_tpu_estimator=False,
xla_jit_level=tf.OptimizerOptions.OFF,
inter_op_parallelism_threads=0,
log_step_count_steps=100,
intra_op_parallelism_threads=0,
tpu_config_extra_kwargs=None,
cloud_tpu_name=""):
"""Create RunConfig, TPUConfig, and Parallelism object."""
session_config = create_session_config(
log_device_placement=log_device_placement,
enable_graph_rewriter=enable_graph_rewriter,
gpu_mem_fraction=gpu_mem_fraction,
use_tpu=use_tpu,
xla_jit_level=xla_jit_level,
inter_op_parallelism_threads=inter_op_parallelism_threads,
intra_op_parallelism_threads=intra_op_parallelism_threads)
run_config_args = {
"master": master,
"evaluation_master": master,
"model_dir": model_dir,
"session_config": session_config,
"save_summary_steps": 100,
"save_checkpoints_steps": save_checkpoints_steps,
"save_checkpoints_secs": save_checkpoints_secs,
"keep_checkpoint_max": keep_checkpoint_max,
"keep_checkpoint_every_n_hours": keep_checkpoint_every_n_hours,
"tf_random_seed": random_seed,
"log_step_count_steps": log_step_count_steps
}
if save_checkpoints_secs:
del run_config_args["save_checkpoints_steps"]
run_config_cls = tf.contrib.learn.RunConfig
if use_tpu or use_tpu_estimator:
# If using TPUEstimator, use TPU RunConfig, add TPUConfig, and add
# additional args.
tpu_config_kwargs = {
"iterations_per_loop": iterations_per_loop,
"num_shards": num_shards,
"per_host_input_for_training": True,
"initial_infeed_sleep_secs": tpu_infeed_sleep_secs,
}
if tpu_config_extra_kwargs is not None:
tpu_config_kwargs.update(tpu_config_extra_kwargs)
run_config_cls = tf.contrib.tpu.RunConfig
tpu_config = tf.contrib.tpu.TPUConfig(
**tpu_config_kwargs)
run_config_args["tpu_config"] = tpu_config
if not master and "KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS" in os.environ:
# If running on TPU but no master is set and the KUBE env var is present
# then we're running on ML Engine. Set the master.
run_config_args["master"] = os.environ[
"KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS"]
run_config_args["evaluation_master"] = run_config_args["master"]
elif not master and cloud_tpu_name:
# Update run_config to use cluster instead of master/evaluation_master
# as we need the cluster spec to use Cloud Pods
tpu_cluster_resolver = tf.contrib.cluster_resolver.TPUClusterResolver(
cloud_tpu_name)
run_config_args["cluster"] = tpu_cluster_resolver
del run_config_args["master"]
del run_config_args["evaluation_master"]
elif is_cloud_async_distributed():
run_config_cls = tf.estimator.RunConfig
del run_config_args["master"]
del run_config_args["evaluation_master"]
config = run_config_cls(**run_config_args)
# If not using TPU, add device info for data_parallelism
config.use_tpu = use_tpu
if not use_tpu:
config.t2t_device_info = {
"num_async_replicas": num_async_replicas,
}
use_distribution_strategy = (
optionally_use_dist_strat and
t2t_model.T2TModel.has_symmetric_shards(model_name) and
not no_data_parallelism and ps_replicas == 0 and ps_gpu == 0 and
num_async_replicas == 1)
if use_distribution_strategy:
tf.logging.info(
"Configuring MirroredStrategy DistributionStrategy to replicate the "
"model."
)
distribution = tf.contrib.distribute.MirroredStrategy()
config = config.replace(train_distribute=distribution)
config.data_parallelism = None
else:
tf.logging.info("Configuring DataParallelism to replicate the model.")
config.data_parallelism = devices.data_parallelism(
daisy_chain_variables=daisy_chain_variables,
ps_replicas=ps_replicas,
ps_job=ps_job,
ps_gpu=ps_gpu,
schedule=schedule,
sync=sync,
worker_gpu=num_gpus,
worker_replicas=num_async_replicas,
worker_id=worker_id,
gpu_order=gpu_order,
worker_job=worker_job,
no_data_parallelism=no_data_parallelism)
return config
|
[
"def",
"create_run_config",
"(",
"model_name",
",",
"master",
"=",
"\"\"",
",",
"model_dir",
"=",
"None",
",",
"iterations_per_loop",
"=",
"1000",
",",
"num_shards",
"=",
"8",
",",
"log_device_placement",
"=",
"False",
",",
"save_checkpoints_steps",
"=",
"1000",
",",
"save_checkpoints_secs",
"=",
"None",
",",
"keep_checkpoint_max",
"=",
"20",
",",
"keep_checkpoint_every_n_hours",
"=",
"10000",
",",
"num_gpus",
"=",
"1",
",",
"gpu_order",
"=",
"\"\"",
",",
"num_async_replicas",
"=",
"1",
",",
"enable_graph_rewriter",
"=",
"False",
",",
"gpu_mem_fraction",
"=",
"0.95",
",",
"no_data_parallelism",
"=",
"False",
",",
"optionally_use_dist_strat",
"=",
"False",
",",
"daisy_chain_variables",
"=",
"True",
",",
"schedule",
"=",
"\"continuous_train_and_eval\"",
",",
"worker_job",
"=",
"\"/job:localhost\"",
",",
"worker_id",
"=",
"0",
",",
"ps_replicas",
"=",
"0",
",",
"ps_job",
"=",
"\"/job:ps\"",
",",
"ps_gpu",
"=",
"0",
",",
"random_seed",
"=",
"None",
",",
"sync",
"=",
"False",
",",
"tpu_infeed_sleep_secs",
"=",
"None",
",",
"use_tpu",
"=",
"False",
",",
"use_tpu_estimator",
"=",
"False",
",",
"xla_jit_level",
"=",
"tf",
".",
"OptimizerOptions",
".",
"OFF",
",",
"inter_op_parallelism_threads",
"=",
"0",
",",
"log_step_count_steps",
"=",
"100",
",",
"intra_op_parallelism_threads",
"=",
"0",
",",
"tpu_config_extra_kwargs",
"=",
"None",
",",
"cloud_tpu_name",
"=",
"\"\"",
")",
":",
"session_config",
"=",
"create_session_config",
"(",
"log_device_placement",
"=",
"log_device_placement",
",",
"enable_graph_rewriter",
"=",
"enable_graph_rewriter",
",",
"gpu_mem_fraction",
"=",
"gpu_mem_fraction",
",",
"use_tpu",
"=",
"use_tpu",
",",
"xla_jit_level",
"=",
"xla_jit_level",
",",
"inter_op_parallelism_threads",
"=",
"inter_op_parallelism_threads",
",",
"intra_op_parallelism_threads",
"=",
"intra_op_parallelism_threads",
")",
"run_config_args",
"=",
"{",
"\"master\"",
":",
"master",
",",
"\"evaluation_master\"",
":",
"master",
",",
"\"model_dir\"",
":",
"model_dir",
",",
"\"session_config\"",
":",
"session_config",
",",
"\"save_summary_steps\"",
":",
"100",
",",
"\"save_checkpoints_steps\"",
":",
"save_checkpoints_steps",
",",
"\"save_checkpoints_secs\"",
":",
"save_checkpoints_secs",
",",
"\"keep_checkpoint_max\"",
":",
"keep_checkpoint_max",
",",
"\"keep_checkpoint_every_n_hours\"",
":",
"keep_checkpoint_every_n_hours",
",",
"\"tf_random_seed\"",
":",
"random_seed",
",",
"\"log_step_count_steps\"",
":",
"log_step_count_steps",
"}",
"if",
"save_checkpoints_secs",
":",
"del",
"run_config_args",
"[",
"\"save_checkpoints_steps\"",
"]",
"run_config_cls",
"=",
"tf",
".",
"contrib",
".",
"learn",
".",
"RunConfig",
"if",
"use_tpu",
"or",
"use_tpu_estimator",
":",
"# If using TPUEstimator, use TPU RunConfig, add TPUConfig, and add",
"# additional args.",
"tpu_config_kwargs",
"=",
"{",
"\"iterations_per_loop\"",
":",
"iterations_per_loop",
",",
"\"num_shards\"",
":",
"num_shards",
",",
"\"per_host_input_for_training\"",
":",
"True",
",",
"\"initial_infeed_sleep_secs\"",
":",
"tpu_infeed_sleep_secs",
",",
"}",
"if",
"tpu_config_extra_kwargs",
"is",
"not",
"None",
":",
"tpu_config_kwargs",
".",
"update",
"(",
"tpu_config_extra_kwargs",
")",
"run_config_cls",
"=",
"tf",
".",
"contrib",
".",
"tpu",
".",
"RunConfig",
"tpu_config",
"=",
"tf",
".",
"contrib",
".",
"tpu",
".",
"TPUConfig",
"(",
"*",
"*",
"tpu_config_kwargs",
")",
"run_config_args",
"[",
"\"tpu_config\"",
"]",
"=",
"tpu_config",
"if",
"not",
"master",
"and",
"\"KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS\"",
"in",
"os",
".",
"environ",
":",
"# If running on TPU but no master is set and the KUBE env var is present",
"# then we're running on ML Engine. Set the master.",
"run_config_args",
"[",
"\"master\"",
"]",
"=",
"os",
".",
"environ",
"[",
"\"KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS\"",
"]",
"run_config_args",
"[",
"\"evaluation_master\"",
"]",
"=",
"run_config_args",
"[",
"\"master\"",
"]",
"elif",
"not",
"master",
"and",
"cloud_tpu_name",
":",
"# Update run_config to use cluster instead of master/evaluation_master",
"# as we need the cluster spec to use Cloud Pods",
"tpu_cluster_resolver",
"=",
"tf",
".",
"contrib",
".",
"cluster_resolver",
".",
"TPUClusterResolver",
"(",
"cloud_tpu_name",
")",
"run_config_args",
"[",
"\"cluster\"",
"]",
"=",
"tpu_cluster_resolver",
"del",
"run_config_args",
"[",
"\"master\"",
"]",
"del",
"run_config_args",
"[",
"\"evaluation_master\"",
"]",
"elif",
"is_cloud_async_distributed",
"(",
")",
":",
"run_config_cls",
"=",
"tf",
".",
"estimator",
".",
"RunConfig",
"del",
"run_config_args",
"[",
"\"master\"",
"]",
"del",
"run_config_args",
"[",
"\"evaluation_master\"",
"]",
"config",
"=",
"run_config_cls",
"(",
"*",
"*",
"run_config_args",
")",
"# If not using TPU, add device info for data_parallelism",
"config",
".",
"use_tpu",
"=",
"use_tpu",
"if",
"not",
"use_tpu",
":",
"config",
".",
"t2t_device_info",
"=",
"{",
"\"num_async_replicas\"",
":",
"num_async_replicas",
",",
"}",
"use_distribution_strategy",
"=",
"(",
"optionally_use_dist_strat",
"and",
"t2t_model",
".",
"T2TModel",
".",
"has_symmetric_shards",
"(",
"model_name",
")",
"and",
"not",
"no_data_parallelism",
"and",
"ps_replicas",
"==",
"0",
"and",
"ps_gpu",
"==",
"0",
"and",
"num_async_replicas",
"==",
"1",
")",
"if",
"use_distribution_strategy",
":",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Configuring MirroredStrategy DistributionStrategy to replicate the \"",
"\"model.\"",
")",
"distribution",
"=",
"tf",
".",
"contrib",
".",
"distribute",
".",
"MirroredStrategy",
"(",
")",
"config",
"=",
"config",
".",
"replace",
"(",
"train_distribute",
"=",
"distribution",
")",
"config",
".",
"data_parallelism",
"=",
"None",
"else",
":",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Configuring DataParallelism to replicate the model.\"",
")",
"config",
".",
"data_parallelism",
"=",
"devices",
".",
"data_parallelism",
"(",
"daisy_chain_variables",
"=",
"daisy_chain_variables",
",",
"ps_replicas",
"=",
"ps_replicas",
",",
"ps_job",
"=",
"ps_job",
",",
"ps_gpu",
"=",
"ps_gpu",
",",
"schedule",
"=",
"schedule",
",",
"sync",
"=",
"sync",
",",
"worker_gpu",
"=",
"num_gpus",
",",
"worker_replicas",
"=",
"num_async_replicas",
",",
"worker_id",
"=",
"worker_id",
",",
"gpu_order",
"=",
"gpu_order",
",",
"worker_job",
"=",
"worker_job",
",",
"no_data_parallelism",
"=",
"no_data_parallelism",
")",
"return",
"config"
] |
Create RunConfig, TPUConfig, and Parallelism object.
|
[
"Create",
"RunConfig",
"TPUConfig",
"and",
"Parallelism",
"object",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L145-L278
|
train
|
Create RunConfig TPUConfig and Parallelism object.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + '\x37' + '\x37', 0b1000), ehT0Px3KOsy9(chr(1250 - 1202) + chr(111) + '\x31' + chr(53), 49559 - 49551), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(7162 - 7051) + chr(0b1111 + 0o44) + chr(0b110011) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\063' + chr(498 - 445), 5463 - 5455), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(5443 - 5332) + '\061' + '\x30' + '\063', 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(0b110001) + '\066' + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101100 + 0o103) + '\063' + '\067', 0b1000), ehT0Px3KOsy9(chr(878 - 830) + '\x6f' + '\063' + chr(2708 - 2655), 0o10), ehT0Px3KOsy9('\060' + chr(0b11001 + 0o126) + '\x33' + '\060' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(3831 - 3720) + '\x31' + '\x37' + chr(447 - 399), 44886 - 44878), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(248 - 198) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(86 - 34), 0b1000), ehT0Px3KOsy9(chr(48) + chr(8055 - 7944) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1879 - 1831) + chr(0b1101111) + chr(955 - 900), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1001 + 0o50) + '\067', 0b1000), ehT0Px3KOsy9(chr(826 - 778) + chr(0b1101111) + '\063' + chr(0b1111 + 0o43) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110 + 0o54) + chr(0b110 + 0o52) + chr(1393 - 1342), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3858 - 3747) + chr(2492 - 2441) + chr(1821 - 1770) + chr(0b110100), 26815 - 26807), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(1761 - 1712) + chr(2472 - 2417) + '\060', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b110000) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(7780 - 7669) + '\061' + chr(0b11000 + 0o36) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\x36' + chr(0b111 + 0o55), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b110110 + 0o71) + chr(0b110001) + '\060' + chr(55), 51077 - 51069), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\066' + chr(0b110011), 44532 - 44524), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(1345 - 1294) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110100) + chr(1755 - 1701), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5055 - 4944) + chr(2236 - 2186) + '\x33' + chr(0b1010 + 0o46), 61838 - 61830), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b1010 + 0o52) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(51) + chr(0b110000) + '\065', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x37' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100010 + 0o115) + chr(0b110001) + chr(0b110000) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(3585 - 3474) + chr(0b110001) + chr(0b101010 + 0o7) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1769 - 1721) + chr(111) + chr(0b100101 + 0o14) + chr(126 - 73) + chr(470 - 420), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(142 - 92) + chr(0b110110) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101 + 0o54) + chr(51) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(48) + '\065', 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(50) + chr(51) + chr(0b1000 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000111 + 0o50) + '\x32' + chr(48) + '\061', 53622 - 53614), ehT0Px3KOsy9('\060' + chr(0b1101110 + 0o1) + '\062', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101) + '\x30', 53872 - 53864)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1'), chr(5210 - 5110) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1000111 + 0o36))(chr(117) + chr(10728 - 10612) + '\146' + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def asaTNmDUGEcT(yJFe33rl9i_r, Bn9zdzcvZsh_=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(8435 - 8335) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\144' + '\145')('\x75' + chr(0b1110100) + '\146' + chr(45) + '\070'), kwWCbiWUCezq=None, xQU5mLJBRKKS=ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(10627 - 10516) + chr(0b110001) + '\x37' + '\065' + chr(48), 0o10), WJU3qUPk_Uro=ehT0Px3KOsy9(chr(48) + '\157' + chr(1253 - 1204) + chr(1864 - 1816), 0b1000), jLR85hzyfoRh=ehT0Px3KOsy9(chr(48) + '\157' + chr(508 - 460), ord("\x08")), D4sS30SreNFp=ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(172 - 117) + '\065' + chr(0b110000), 8), WLyx1nvkGVEc=None, UbOJKo35GRAE=ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(0b110010) + chr(2465 - 2413), 1840 - 1832), C9tc9dKKwoLO=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101100 + 0o6) + chr(51) + chr(0b110100) + '\062' + chr(48), 0b1000), zcNH1ym8cZBx=ehT0Px3KOsy9(chr(48) + '\157' + '\x31', ord("\x08")), HAd4wfFhlIz7=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(100) + chr(101) + chr(0b10111 + 0o114) + chr(111) + '\x64' + chr(3078 - 2977))(chr(0b101 + 0o160) + chr(116) + chr(0b1100110) + '\055' + chr(0b100010 + 0o26)), FsJHiE9x_3jA=ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(1773 - 1724), 8), ohoMKdKOEITH=ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + '\x30', 8), ihkawEQel1wu=0.95, ahN6YYm9NJTr=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2050 - 2002), 8), yeK5BdZhfT0E=ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + '\x30', 8), m812svkc5bkk=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31', 8), UAGQwjlXRoHO=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9cb\xb4)*\x1cjr\xb4\x0b\x8fhwff\xba\xdc\xbd\x16\xa1/Q1\x12\xb4'), chr(3437 - 3337) + chr(1817 - 1716) + chr(0b1100011) + chr(10727 - 10616) + '\144' + chr(0b101 + 0o140))('\x75' + '\x74' + chr(102) + '\x2d' + chr(56)), rrM_5p2Pq7Qu=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0g\xb5?y\x1ep~\xa0\x14\xb8svs'), chr(100) + '\145' + chr(99) + chr(332 - 221) + '\x64' + '\x65')(chr(117) + chr(5021 - 4905) + '\146' + chr(45) + chr(1898 - 1842)), LPBkMz6QzyaB=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(48), 8), FxTcw4hdTCz5=ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + '\060', 8), oLSYTDD4mLyy=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0g\xb5?y\x02l'), chr(100) + chr(9715 - 9614) + '\143' + '\157' + chr(100) + chr(6945 - 6844))(chr(12749 - 12632) + '\x74' + '\146' + chr(0b1011 + 0o42) + chr(0b111000)), Z3DGfLevW2iR=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100001 + 0o17), 8), JrhY2RFJObts=None, OLWAJrKMaq_U=ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(7130 - 7019) + chr(0b100000 + 0o20), 8), qBkO7rg0dtbz=None, L4eE7kczIJwa=ehT0Px3KOsy9(chr(48) + chr(738 - 627) + '\060', 8), WlPMgUshPxaI=ehT0Px3KOsy9('\x30' + '\157' + '\060', 8), gUUrfYiiypuR=xafqLlk3kkUe(IDJ2eXGCBCDu.OptimizerOptions, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0K\x9c'), chr(0b1100100) + chr(9284 - 9183) + '\143' + chr(0b110011 + 0o74) + '\144' + chr(3579 - 3478))(chr(0b1110101) + chr(116) + '\x66' + '\x2d' + '\070')), ucMxMp1AkzEu=ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + chr(0b100110 + 0o12), 8), uAOLjdRjpS_b=ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + '\x31' + '\064' + chr(0b110100), 43029 - 43021), bkRRP8Q93yau=ehT0Px3KOsy9('\060' + '\157' + '\x30', 8), wBRs59oAVOdJ=None, jaSQjAFmA1eC=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b10000 + 0o124) + chr(101) + '\x63' + chr(0b1101111) + chr(3021 - 2921) + '\145')(chr(0b1010010 + 0o43) + chr(116) + chr(102) + chr(1102 - 1057) + chr(0b111000))):
HrOPlI7H9mT_ = MUV_pdJm0Mvy(log_device_placement=jLR85hzyfoRh, enable_graph_rewriter=ohoMKdKOEITH, gpu_mem_fraction=ihkawEQel1wu, use_tpu=L4eE7kczIJwa, xla_jit_level=gUUrfYiiypuR, inter_op_parallelism_threads=ucMxMp1AkzEu, intra_op_parallelism_threads=bkRRP8Q93yau)
T7VrxO9ipfnQ = {xafqLlk3kkUe(SXOLrMavuUCe(b'\x92l\xa9)&\x00'), chr(0b1111 + 0o125) + chr(8496 - 8395) + chr(0b1000010 + 0o41) + chr(111) + '\144' + '\x65')('\165' + chr(116) + chr(0b10100 + 0o122) + '\055' + chr(56)): Bn9zdzcvZsh_, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a{\xbb16\x13kt\xae\x16\x8fqdt{\xb1\xf1'), chr(0b1000000 + 0o44) + '\x65' + chr(99) + '\157' + chr(4733 - 4633) + chr(0b1100101))(chr(0b101010 + 0o113) + chr(0b110110 + 0o76) + '\x66' + chr(45) + chr(0b111000)): Bn9zdzcvZsh_, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92b\xbe8/-{t\xb3'), '\144' + chr(0b1100101) + '\143' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1101001 + 0o13) + chr(102) + chr(679 - 634) + '\070'): kwWCbiWUCezq, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8ch\xa9.*\x1dqB\xa2\x17\xbezl`'), chr(0b110110 + 0o56) + '\145' + chr(99) + '\157' + chr(0b11001 + 0o113) + '\145')(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b101101) + '\070'): HrOPlI7H9mT_, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cl\xac8\x1c\x01jp\xac\x19\xa2eZt{\xb1\xf3\xaf'), '\144' + chr(0b1100101) + '\x63' + chr(111) + chr(0b1100100) + chr(7259 - 7158))(chr(745 - 628) + chr(0b11011 + 0o131) + chr(0b1100110) + '\x2d' + chr(593 - 537)): ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + chr(49) + chr(1322 - 1270) + chr(0b100000 + 0o24), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cl\xac8\x1c\x11wx\xa2\x13\xa0sli{\xa7\xdc\xaf\x0c\xa0\x00G'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + '\x64' + '\145')('\165' + '\x74' + chr(1536 - 1434) + chr(1951 - 1906) + chr(0b111000)): D4sS30SreNFp, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cl\xac8\x1c\x11wx\xa2\x13\xa0sli{\xa7\xdc\xaf\x1d\xa6\x03'), '\144' + chr(0b1001 + 0o134) + chr(0b1100011) + chr(0b1010001 + 0o36) + '\x64' + '\x65')(chr(0b111101 + 0o70) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)): WLyx1nvkGVEc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x94h\xbf-\x1c\x11wx\xa2\x13\xa0sli{\x8b\xee\xbd\x00'), chr(100) + chr(0b1100101) + '\143' + '\157' + chr(0b101111 + 0o65) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1000000 + 0o46) + '\055' + chr(2671 - 2615)): UbOJKo35GRAE, xafqLlk3kkUe(SXOLrMavuUCe(b'\x94h\xbf-\x1c\x11wx\xa2\x13\xa0sli{\x8b\xe6\xaa\x1d\xb7\tk),\xb0I\xed\x92\xb6'), chr(0b1100100) + '\x65' + chr(3747 - 3648) + chr(0b111110 + 0o61) + '\x64' + chr(6919 - 6818))(chr(0b1110101) + chr(116) + chr(7552 - 7450) + '\055' + chr(0b111000)): C9tc9dKKwoLO, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8bk\x85/"\x1c{r\xac\'\xa3y`c'), chr(5626 - 5526) + chr(0b1111 + 0o126) + chr(0b1100011) + chr(2480 - 2369) + '\x64' + chr(4595 - 4494))('\165' + chr(0b1110100) + '\x66' + chr(0b101001 + 0o4) + chr(0b111000)): JrhY2RFJObts, xafqLlk3kkUe(SXOLrMavuUCe(b'\x93b\xbd\x020\x06zm\x9e\x1b\xbfiksP\xa7\xf7\xb9\x08\xb6'), '\x64' + chr(0b1100101) + chr(2388 - 2289) + chr(0b1010000 + 0o37) + chr(0b110100 + 0o60) + chr(0b100 + 0o141))(chr(0b1110101) + '\x74' + chr(102) + '\055' + '\070'): uAOLjdRjpS_b}
if WLyx1nvkGVEc:
del T7VrxO9ipfnQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cl\xac8\x1c\x11wx\xa2\x13\xa0sli{\xa7\xdc\xaf\x0c\xa0\x00G'), '\x64' + chr(9709 - 9608) + chr(8162 - 8063) + '\x6f' + chr(0b1100100) + chr(101))('\x75' + '\164' + '\x66' + '\x2d' + '\070')]
IE87ChUNl4tP = IDJ2eXGCBCDu.contrib.learn.RunConfig
if L4eE7kczIJwa or WlPMgUshPxaI:
bXBtGTa3_aRX = {xafqLlk3kkUe(SXOLrMavuUCe(b'\x96y\xbf/"\x06vr\xaf\x0b\x8fl`uP\xb8\xec\xb3\x08'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b11000 + 0o114) + '\145')(chr(117) + '\164' + chr(0b1100001 + 0o5) + chr(0b101101) + chr(0b111000)): xQU5mLJBRKKS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x91x\xb7\x020\x1a~o\xa5\x0b'), chr(100) + '\x65' + chr(0b1100011) + chr(111) + '\x64' + chr(3627 - 3526))(chr(0b1110101) + '\164' + chr(102) + '\055' + chr(0b11000 + 0o40)): WJU3qUPk_Uro, xafqLlk3kkUe(SXOLrMavuUCe(b"\x8fh\xa8\x02+\x1dli\x9e\x11\xbelpsP\xb2\xec\xae'\xb1\x02U.\x1d\xb1H\xff"), '\x64' + '\145' + '\x63' + '\x6f' + chr(0b111101 + 0o47) + chr(0b1100101))(chr(117) + chr(0b10001 + 0o143) + chr(0b101101 + 0o71) + chr(0b11111 + 0o16) + chr(0b110001 + 0o7)): ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x96c\xb3)*\x13sB\xa8\x16\xb6y`cP\xa7\xef\xb9\x1d\xb5/G"\x10\xab'), '\144' + chr(101) + chr(1641 - 1542) + chr(0b101100 + 0o103) + chr(3663 - 3563) + chr(0b1100101))('\165' + chr(11252 - 11136) + chr(0b101100 + 0o72) + chr(0b101101) + '\x38'): qBkO7rg0dtbz}
if wBRs59oAVOdJ is not None:
xafqLlk3kkUe(bXBtGTa3_aRX, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5y\x9b\x18*<Us\xb8L\xb5,'), chr(8245 - 8145) + chr(592 - 491) + '\x63' + '\157' + chr(0b1100100) + chr(0b1001000 + 0o35))('\165' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(56)))(wBRs59oAVOdJ)
IE87ChUNl4tP = IDJ2eXGCBCDu.contrib.tpu.RunConfig
Ghj8YXKiaKb5 = IDJ2eXGCBCDu.contrib.tpu.TPUConfig(**bXBtGTa3_aRX)
T7VrxO9ipfnQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b}\xaf\x02 \x1dq{\xa8\x1f'), chr(100) + '\145' + chr(0b1100011) + chr(111) + '\144' + chr(4274 - 4173))(chr(0b1110101) + '\x74' + chr(9535 - 9433) + chr(1506 - 1461) + '\x38')] = Ghj8YXKiaKb5
if not Bn9zdzcvZsh_ and xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4X\x98\x18\x1c5PR\x864\x95CFK@\x81\xc7\x83,\x95%k\x02=\x9cv\xd7\xa9\x8bm\x15'), '\x64' + '\x65' + chr(0b10100 + 0o117) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(117) + chr(0b111011 + 0o71) + chr(0b10011 + 0o123) + chr(1537 - 1492) + '\070') in xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8dC\x91ks9E+\xf6\x16\x88^'), chr(100) + '\x65' + chr(0b1100001 + 0o2) + chr(111) + '\x64' + chr(0b111001 + 0o54))(chr(0b1110101) + chr(0b1000011 + 0o61) + '\146' + chr(0b101101) + '\x38')):
T7VrxO9ipfnQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x92l\xa9)&\x00'), '\x64' + chr(3104 - 3003) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(117) + '\164' + chr(102) + '\055' + chr(56))] = oqhJDdMJfuwx.rNK60KZ67nXB[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4X\x98\x18\x1c5PR\x864\x95CFK@\x81\xc7\x83,\x95%k\x02=\x9cv\xd7\xa9\x8bm\x15'), chr(4362 - 4262) + '\x65' + chr(0b1100011) + '\x6f' + '\x64' + chr(0b1100000 + 0o5))('\165' + chr(333 - 217) + chr(102) + chr(0b10011 + 0o32) + '\x38')]
T7VrxO9ipfnQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a{\xbb16\x13kt\xae\x16\x8fqdt{\xb1\xf1'), '\144' + chr(0b1100101) + chr(2547 - 2448) + chr(8521 - 8410) + '\144' + chr(101))(chr(0b0 + 0o165) + chr(0b1110100) + chr(0b111101 + 0o51) + chr(340 - 295) + chr(512 - 456))] = T7VrxO9ipfnQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x92l\xa9)&\x00'), chr(100) + chr(0b1100101) + '\x63' + chr(4689 - 4578) + '\144' + '\145')('\x75' + chr(116) + chr(6302 - 6200) + chr(0b101101) + chr(2646 - 2590))]
elif not Bn9zdzcvZsh_ and jaSQjAFmA1eC:
fxmbcOMDDsdB = IDJ2eXGCBCDu.contrib.cluster_resolver.TPUClusterResolver(jaSQjAFmA1eC)
T7VrxO9ipfnQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9ca\xaf.7\x17m'), chr(0b11010 + 0o112) + '\145' + '\143' + '\x6f' + chr(100) + chr(6201 - 6100))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b1101 + 0o40) + chr(1522 - 1466))] = fxmbcOMDDsdB
del T7VrxO9ipfnQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x92l\xa9)&\x00'), chr(100) + '\145' + '\143' + chr(0b1101111) + chr(100) + chr(101))('\165' + chr(2156 - 2040) + chr(0b1100110) + chr(0b1001 + 0o44) + '\x38')]
del T7VrxO9ipfnQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a{\xbb16\x13kt\xae\x16\x8fqdt{\xb1\xf1'), chr(100) + '\145' + chr(99) + chr(10324 - 10213) + chr(100) + chr(0b1100101))(chr(117) + '\x74' + '\x66' + chr(749 - 704) + chr(56))]
elif vq5AhPb3HLEC():
IE87ChUNl4tP = IDJ2eXGCBCDu.estimator.RunConfig
del T7VrxO9ipfnQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x92l\xa9)&\x00'), chr(100) + chr(0b1010000 + 0o25) + chr(0b1100011) + chr(0b1101111) + chr(0b100001 + 0o103) + '\x65')(chr(1567 - 1450) + '\x74' + chr(102) + chr(45) + chr(0b111000))]
del T7VrxO9ipfnQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a{\xbb16\x13kt\xae\x16\x8fqdt{\xb1\xf1'), chr(0b1100100) + chr(3489 - 3388) + chr(99) + chr(0b1101111) + chr(5401 - 5301) + chr(0b1100101))('\165' + chr(0b1110100) + '\146' + '\055' + chr(56))]
jAj7S20Ct06o = IE87ChUNl4tP(**T7VrxO9ipfnQ)
jAj7S20Ct06o.L4eE7kczIJwa = L4eE7kczIJwa
if not L4eE7kczIJwa:
jAj7S20Ct06o.VnXdb2ihoHeL = {xafqLlk3kkUe(SXOLrMavuUCe(b'\x91x\xb7\x02"\x01fs\xa2\'\xa2yukf\xb7\xe2\xaf'), chr(100) + chr(0b1100101) + chr(0b1001011 + 0o30) + chr(111) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + chr(8837 - 8735) + chr(341 - 296) + chr(0b101101 + 0o13)): FsJHiE9x_3jA}
fRDo36X2s6lc = yeK5BdZhfT0E and BeAyCOlpGTfm.T2TModel.has_symmetric_shards(yJFe33rl9i_r) and (not ahN6YYm9NJTr) and (FxTcw4hdTCz5 == ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1101 + 0o43), 8)) and (Z3DGfLevW2iR == ehT0Px3KOsy9(chr(925 - 877) + chr(0b11110 + 0o121) + '\060', 8)) and (FsJHiE9x_3jA == ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 8))
if fRDo36X2s6lc:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac:\x92%6\x11x*\xab\x14\x8aw'), chr(0b1100100) + chr(101) + '\x63' + chr(0b1101111) + chr(0b100001 + 0o103) + chr(0b1100101))(chr(117) + chr(5462 - 5346) + chr(6529 - 6427) + '\055' + chr(2315 - 2259)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbcb\xb4;*\x15jo\xa8\x16\xb7<Hn}\xa6\xec\xae\x1d\xa1#@5\x12\xacC\xff\x99\xe5}/;\x1e\xc77\x7f\xb0\xe9\xe8m\x91^\xae/"\x06zz\xb8X\xa4s%uj\xa4\xef\xb5\x1b\xa4\x04Qg\x07\xb0C\xb8\x8d\xaa]#$D'), chr(9319 - 9219) + chr(8351 - 8250) + '\143' + '\157' + chr(0b110001 + 0o63) + '\x65')(chr(0b1101110 + 0o7) + chr(0b111001 + 0o73) + chr(102) + '\x2d' + chr(1122 - 1066)))
iJvq7pIHWwTP = IDJ2eXGCBCDu.contrib.distribute.MirroredStrategy()
jAj7S20Ct06o = jAj7S20Ct06o.replace(train_distribute=iJvq7pIHWwTP)
jAj7S20Ct06o.iP4ZSqFqAOG_ = None
else:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac:\x92%6\x11x*\xab\x14\x8aw'), chr(0b111 + 0o135) + chr(101) + '\143' + '\157' + '\144' + chr(0b1100101))(chr(0b100000 + 0o125) + '\x74' + chr(0b110100 + 0o62) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbcb\xb4;*\x15jo\xa8\x16\xb7<Af{\xb5\xd3\xbd\n\xa4\x1cX"\x1f\xb1U\xf5\xc0\xb1Vf:\x0f\xc52t\xa6\xfc\xf5g\xdfy\xb28c\x1fpy\xa4\x14\xfe'), '\x64' + chr(0b1011110 + 0o7) + chr(99) + chr(0b1101111) + chr(100) + chr(7019 - 6918))(chr(0b1110101) + chr(10322 - 10206) + '\x66' + chr(0b10110 + 0o27) + '\070'))
jAj7S20Ct06o.iP4ZSqFqAOG_ = RQnkAwZWBQUF.iP4ZSqFqAOG_(daisy_chain_variables=m812svkc5bkk, ps_replicas=FxTcw4hdTCz5, ps_job=oLSYTDD4mLyy, ps_gpu=Z3DGfLevW2iR, schedule=UAGQwjlXRoHO, sync=OLWAJrKMaq_U, worker_gpu=zcNH1ym8cZBx, worker_replicas=FsJHiE9x_3jA, worker_id=LPBkMz6QzyaB, gpu_order=HAd4wfFhlIz7, worker_job=rrM_5p2Pq7Qu, no_data_parallelism=ahN6YYm9NJTr)
return jAj7S20Ct06o
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
create_estimator
|
def create_estimator(model_name,
hparams,
run_config,
schedule="train_and_evaluate",
decode_hparams=None,
use_tpu=False,
use_tpu_estimator=False,
use_xla=False):
"""Create a T2T Estimator."""
model_fn = t2t_model.T2TModel.make_estimator_model_fn(
model_name, hparams, decode_hparams=decode_hparams, use_tpu=use_tpu)
del use_xla
if use_tpu or use_tpu_estimator:
problem = hparams.problem
batch_size = (
problem.tpu_batch_size_per_shard(hparams) *
run_config.tpu_config.num_shards)
mlperf_log.transformer_print(
key=mlperf_log.INPUT_BATCH_SIZE, value=batch_size)
if getattr(hparams, "mtf_mode", False):
batch_size = problem.tpu_batch_size_per_shard(hparams)
predict_batch_size = batch_size
if decode_hparams and decode_hparams.batch_size:
predict_batch_size = decode_hparams.batch_size
if decode_hparams and run_config.tpu_config:
decode_hparams.add_hparam("iterations_per_loop",
run_config.tpu_config.iterations_per_loop)
estimator = tf.contrib.tpu.TPUEstimator(
model_fn=model_fn,
model_dir=run_config.model_dir,
config=run_config,
use_tpu=use_tpu,
train_batch_size=batch_size,
eval_batch_size=batch_size if "eval" in schedule else None,
predict_batch_size=predict_batch_size,
experimental_export_device_assignment=True)
else:
estimator = tf.estimator.Estimator(
model_fn=model_fn,
model_dir=run_config.model_dir,
config=run_config,
)
return estimator
|
python
|
def create_estimator(model_name,
hparams,
run_config,
schedule="train_and_evaluate",
decode_hparams=None,
use_tpu=False,
use_tpu_estimator=False,
use_xla=False):
"""Create a T2T Estimator."""
model_fn = t2t_model.T2TModel.make_estimator_model_fn(
model_name, hparams, decode_hparams=decode_hparams, use_tpu=use_tpu)
del use_xla
if use_tpu or use_tpu_estimator:
problem = hparams.problem
batch_size = (
problem.tpu_batch_size_per_shard(hparams) *
run_config.tpu_config.num_shards)
mlperf_log.transformer_print(
key=mlperf_log.INPUT_BATCH_SIZE, value=batch_size)
if getattr(hparams, "mtf_mode", False):
batch_size = problem.tpu_batch_size_per_shard(hparams)
predict_batch_size = batch_size
if decode_hparams and decode_hparams.batch_size:
predict_batch_size = decode_hparams.batch_size
if decode_hparams and run_config.tpu_config:
decode_hparams.add_hparam("iterations_per_loop",
run_config.tpu_config.iterations_per_loop)
estimator = tf.contrib.tpu.TPUEstimator(
model_fn=model_fn,
model_dir=run_config.model_dir,
config=run_config,
use_tpu=use_tpu,
train_batch_size=batch_size,
eval_batch_size=batch_size if "eval" in schedule else None,
predict_batch_size=predict_batch_size,
experimental_export_device_assignment=True)
else:
estimator = tf.estimator.Estimator(
model_fn=model_fn,
model_dir=run_config.model_dir,
config=run_config,
)
return estimator
|
[
"def",
"create_estimator",
"(",
"model_name",
",",
"hparams",
",",
"run_config",
",",
"schedule",
"=",
"\"train_and_evaluate\"",
",",
"decode_hparams",
"=",
"None",
",",
"use_tpu",
"=",
"False",
",",
"use_tpu_estimator",
"=",
"False",
",",
"use_xla",
"=",
"False",
")",
":",
"model_fn",
"=",
"t2t_model",
".",
"T2TModel",
".",
"make_estimator_model_fn",
"(",
"model_name",
",",
"hparams",
",",
"decode_hparams",
"=",
"decode_hparams",
",",
"use_tpu",
"=",
"use_tpu",
")",
"del",
"use_xla",
"if",
"use_tpu",
"or",
"use_tpu_estimator",
":",
"problem",
"=",
"hparams",
".",
"problem",
"batch_size",
"=",
"(",
"problem",
".",
"tpu_batch_size_per_shard",
"(",
"hparams",
")",
"*",
"run_config",
".",
"tpu_config",
".",
"num_shards",
")",
"mlperf_log",
".",
"transformer_print",
"(",
"key",
"=",
"mlperf_log",
".",
"INPUT_BATCH_SIZE",
",",
"value",
"=",
"batch_size",
")",
"if",
"getattr",
"(",
"hparams",
",",
"\"mtf_mode\"",
",",
"False",
")",
":",
"batch_size",
"=",
"problem",
".",
"tpu_batch_size_per_shard",
"(",
"hparams",
")",
"predict_batch_size",
"=",
"batch_size",
"if",
"decode_hparams",
"and",
"decode_hparams",
".",
"batch_size",
":",
"predict_batch_size",
"=",
"decode_hparams",
".",
"batch_size",
"if",
"decode_hparams",
"and",
"run_config",
".",
"tpu_config",
":",
"decode_hparams",
".",
"add_hparam",
"(",
"\"iterations_per_loop\"",
",",
"run_config",
".",
"tpu_config",
".",
"iterations_per_loop",
")",
"estimator",
"=",
"tf",
".",
"contrib",
".",
"tpu",
".",
"TPUEstimator",
"(",
"model_fn",
"=",
"model_fn",
",",
"model_dir",
"=",
"run_config",
".",
"model_dir",
",",
"config",
"=",
"run_config",
",",
"use_tpu",
"=",
"use_tpu",
",",
"train_batch_size",
"=",
"batch_size",
",",
"eval_batch_size",
"=",
"batch_size",
"if",
"\"eval\"",
"in",
"schedule",
"else",
"None",
",",
"predict_batch_size",
"=",
"predict_batch_size",
",",
"experimental_export_device_assignment",
"=",
"True",
")",
"else",
":",
"estimator",
"=",
"tf",
".",
"estimator",
".",
"Estimator",
"(",
"model_fn",
"=",
"model_fn",
",",
"model_dir",
"=",
"run_config",
".",
"model_dir",
",",
"config",
"=",
"run_config",
",",
")",
"return",
"estimator"
] |
Create a T2T Estimator.
|
[
"Create",
"a",
"T2T",
"Estimator",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L281-L325
|
train
|
Create a T2T Estimator.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(784 - 736) + '\x6f' + chr(1751 - 1702) + chr(0b10110 + 0o37), 0b1000), ehT0Px3KOsy9('\x30' + chr(11735 - 11624) + chr(0b100111 + 0o12) + chr(52) + chr(0b10011 + 0o44), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x36' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1992 - 1944) + chr(111) + chr(670 - 616) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(391 - 343) + '\x6f' + chr(0b110010) + chr(0b10001 + 0o43) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101001 + 0o6) + chr(0b110001) + '\067' + chr(54), 64770 - 64762), ehT0Px3KOsy9('\x30' + chr(111) + chr(788 - 737) + chr(53) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111 + 0o0) + chr(1364 - 1314) + chr(55) + chr(0b110011), 47974 - 47966), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b11101 + 0o31) + chr(1363 - 1308), 0o10), ehT0Px3KOsy9(chr(2042 - 1994) + chr(111) + chr(0b10101 + 0o35) + '\065' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(563 - 513) + chr(378 - 330) + chr(0b101111 + 0o6), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11110 + 0o31) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(349 - 299) + chr(54) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111110 + 0o61) + chr(1269 - 1218) + chr(0b110101) + chr(1329 - 1276), ord("\x08")), ehT0Px3KOsy9('\060' + chr(12201 - 12090) + '\x32' + chr(0b1111 + 0o46) + '\x32', 43349 - 43341), ehT0Px3KOsy9(chr(669 - 621) + chr(2800 - 2689) + chr(0b110001 + 0o0) + chr(0b110000) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(7483 - 7372) + chr(0b110011) + '\x34' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + '\063' + '\063' + chr(1965 - 1914), 0o10), ehT0Px3KOsy9('\x30' + chr(9373 - 9262) + chr(0b100010 + 0o21) + chr(51) + chr(49), 9160 - 9152), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1666 - 1616) + chr(49) + chr(0b101011 + 0o12), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(51) + '\064' + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(2357 - 2303), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + '\x36' + chr(2452 - 2397), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1566 - 1515) + chr(0b110010) + '\067', 35186 - 35178), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\x32' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + chr(1722 - 1673) + chr(0b101110 + 0o2) + chr(0b100111 + 0o13), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001101 + 0o42) + chr(2117 - 2068) + '\064' + chr(0b1110 + 0o50), 0b1000), ehT0Px3KOsy9(chr(2278 - 2230) + chr(0b1101111) + '\x32' + chr(2583 - 2529) + '\060', 28625 - 28617), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b110100) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(10367 - 10256) + chr(0b110011) + chr(50) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001110 + 0o41) + chr(0b110001) + '\064' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + '\x31' + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\066' + chr(0b110001 + 0o2), 19771 - 19763), ehT0Px3KOsy9(chr(604 - 556) + '\157' + chr(0b101101 + 0o5) + '\x35' + chr(2281 - 2227), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(0b110010) + chr(0b110110) + '\063', 18420 - 18412), ehT0Px3KOsy9(chr(0b110000) + chr(6460 - 6349) + chr(0b100 + 0o60) + chr(1250 - 1202), 39104 - 39096), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\063' + chr(0b11100 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(1007 - 959) + chr(7868 - 7757) + chr(0b110011) + '\x32' + chr(55), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x36' + chr(0b110111), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b11000 + 0o32) + '\065' + '\062', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110101) + chr(0b11001 + 0o27), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'#'), '\144' + chr(0b1100101) + chr(99) + '\157' + chr(0b10111 + 0o115) + chr(8302 - 8201))('\165' + chr(0b1100010 + 0o22) + chr(0b11011 + 0o113) + '\055' + chr(1924 - 1868)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def cWHAvGFumVTv(yJFe33rl9i_r, n4ljua2gi1Pr, XwFhQmkvbPWZ, UAGQwjlXRoHO=xafqLlk3kkUe(SXOLrMavuUCe(b'y\x15\x17Y\xcd!\x8e\xd5\x13\xf6\xe0I\xd0\x81\xdf"\x93\xbe'), chr(0b1000 + 0o134) + chr(0b1100101) + chr(8937 - 8838) + '\x6f' + chr(0b1100100) + chr(101))(chr(117) + chr(0b100000 + 0o124) + '\x66' + chr(1882 - 1837) + chr(56)), LrQSWg3uwmK8=None, L4eE7kczIJwa=ehT0Px3KOsy9(chr(1094 - 1046) + '\x6f' + '\060', 0o10), WlPMgUshPxaI=ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(0b11 + 0o55), 8), zWe_89vUZaOw=ehT0Px3KOsy9(chr(48) + chr(9547 - 9436) + '\x30', 8)):
zXZmJGZDQ0u3 = BeAyCOlpGTfm.T2TModel.make_estimator_model_fn(yJFe33rl9i_r, n4ljua2gi1Pr, decode_hparams=LrQSWg3uwmK8, use_tpu=L4eE7kczIJwa)
del zWe_89vUZaOw
if L4eE7kczIJwa or WlPMgUshPxaI:
sO7e1A_Mor6Q = n4ljua2gi1Pr.sO7e1A_Mor6Q
ix9dZyeAmUxY = sO7e1A_Mor6Q.tpu_batch_size_per_shard(n4ljua2gi1Pr) * XwFhQmkvbPWZ.tpu_config.num_shards
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'y\x15\x17^\xd0\x18\x80\xc9\x1a\xcc\xf7`\xc1\x9f\xc3-\x93'), chr(0b1100100) + chr(7573 - 7472) + '\143' + '\x6f' + '\144' + '\145')(chr(4219 - 4102) + chr(0b1010000 + 0o44) + '\x66' + chr(0b10101 + 0o30) + chr(0b111000)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'D)&e\xf7!\xad\xfa#\xea\xcd`\xe2\xa4\xf0\x06'), chr(7198 - 7098) + '\x65' + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100 + 0o132) + chr(45) + chr(0b111000))), value=ix9dZyeAmUxY)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'`\x13\x10o\xce\x11\x8b\xde'), chr(0b1100100) + chr(4685 - 4584) + '\x63' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(116) + '\x66' + '\x2d' + chr(194 - 138)), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b10 + 0o155) + '\x30', 8)):
ix9dZyeAmUxY = sO7e1A_Mor6Q.tpu_batch_size_per_shard(n4ljua2gi1Pr)
bihSwlcCs321 = ix9dZyeAmUxY
if LrQSWg3uwmK8 and xafqLlk3kkUe(LrQSWg3uwmK8, xafqLlk3kkUe(SXOLrMavuUCe(b'd\x1fOT\xf9\x07\x8a\xfa\x1a\xfc\xfdf'), chr(100) + chr(0b1100101) + '\x63' + chr(111) + chr(0b1 + 0o143) + chr(101))(chr(2271 - 2154) + chr(0b101011 + 0o111) + chr(0b1100110) + '\x2d' + chr(56))):
bihSwlcCs321 = LrQSWg3uwmK8.ix9dZyeAmUxY
if LrQSWg3uwmK8 and xafqLlk3kkUe(XwFhQmkvbPWZ, xafqLlk3kkUe(SXOLrMavuUCe(b'y\x17\x03o\xc0\x11\x81\xdd\x1e\xce'), chr(100) + chr(101) + chr(0b1001110 + 0o25) + chr(0b1101111) + chr(0b1100001 + 0o3) + chr(3610 - 3509))('\165' + chr(0b1001111 + 0o45) + chr(0b1100110) + chr(1439 - 1394) + '\070')):
xafqLlk3kkUe(LrQSWg3uwmK8, xafqLlk3kkUe(SXOLrMavuUCe(b'l\x03\x12o\xcb\x0e\x8e\xc9\x16\xc4'), '\144' + chr(3062 - 2961) + chr(0b11001 + 0o112) + chr(111) + '\144' + chr(0b1100101))(chr(117) + chr(11193 - 11077) + chr(0b1 + 0o145) + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'd\x13\x13B\xc2\n\x86\xd4\x19\xda\xdaO\xd4\x9f\xf5/\x88\xb4\xa9'), chr(4337 - 4237) + chr(0b1100101) + '\143' + '\157' + '\144' + chr(3915 - 3814))('\x75' + '\x74' + chr(0b1100110) + chr(0b1001 + 0o44) + chr(0b10101 + 0o43)), xafqLlk3kkUe(XwFhQmkvbPWZ.tpu_config, xafqLlk3kkUe(SXOLrMavuUCe(b'd\x13\x13B\xc2\n\x86\xd4\x19\xda\xdaO\xd4\x9f\xf5/\x88\xb4\xa9'), chr(4590 - 4490) + chr(101) + '\x63' + chr(0b1101111) + '\144' + chr(101))('\x75' + chr(10873 - 10757) + chr(0b1100110) + chr(45) + chr(0b111000))))
GDZi5OTNos9m = IDJ2eXGCBCDu.contrib.tpu.TPUEstimator(model_fn=zXZmJGZDQ0u3, model_dir=XwFhQmkvbPWZ.model_dir, config=XwFhQmkvbPWZ, use_tpu=L4eE7kczIJwa, train_batch_size=ix9dZyeAmUxY, eval_batch_size=ix9dZyeAmUxY if xafqLlk3kkUe(SXOLrMavuUCe(b'h\x11\x17\\'), chr(1986 - 1886) + chr(0b110011 + 0o62) + chr(0b1100011) + chr(0b1101111) + chr(3132 - 3032) + chr(101))('\165' + chr(0b1101011 + 0o11) + chr(0b1100110) + '\055' + chr(0b111000)) in UAGQwjlXRoHO else None, predict_batch_size=bihSwlcCs321, experimental_export_device_assignment=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), ord("\x08")))
else:
GDZi5OTNos9m = IDJ2eXGCBCDu.estimator.Estimator(model_fn=zXZmJGZDQ0u3, model_dir=XwFhQmkvbPWZ.model_dir, config=XwFhQmkvbPWZ)
return GDZi5OTNos9m
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
create_hooks
|
def create_hooks(use_tfdbg=False,
use_dbgprofile=False,
dbgprofile_kwargs=None,
use_validation_monitor=False,
validation_monitor_kwargs=None,
use_early_stopping=False,
early_stopping_kwargs=None):
"""Create train and eval hooks for Experiment."""
train_hooks = []
eval_hooks = []
if use_tfdbg:
hook = debug.LocalCLIDebugHook()
train_hooks.append(hook)
eval_hooks.append(hook)
if use_dbgprofile:
# Recorded traces can be visualized with chrome://tracing/
# The memory/tensor lifetime is also profiled
tf.logging.info("Using ProfilerHook")
defaults = dict(save_steps=10, show_dataflow=True, show_memory=True)
defaults.update(dbgprofile_kwargs)
train_hooks.append(tf.train.ProfilerHook(**defaults))
if use_validation_monitor:
tf.logging.info("Using ValidationMonitor")
train_hooks.append(
tf.contrib.learn.monitors.ValidationMonitor(
hooks=eval_hooks, **validation_monitor_kwargs))
if use_early_stopping:
tf.logging.info("Using EarlyStoppingHook")
hook = metrics_hook.EarlyStoppingHook(**early_stopping_kwargs)
# Adding to both training and eval so that eval aborts as well
train_hooks.append(hook)
eval_hooks.append(hook)
return train_hooks, eval_hooks
|
python
|
def create_hooks(use_tfdbg=False,
use_dbgprofile=False,
dbgprofile_kwargs=None,
use_validation_monitor=False,
validation_monitor_kwargs=None,
use_early_stopping=False,
early_stopping_kwargs=None):
"""Create train and eval hooks for Experiment."""
train_hooks = []
eval_hooks = []
if use_tfdbg:
hook = debug.LocalCLIDebugHook()
train_hooks.append(hook)
eval_hooks.append(hook)
if use_dbgprofile:
# Recorded traces can be visualized with chrome://tracing/
# The memory/tensor lifetime is also profiled
tf.logging.info("Using ProfilerHook")
defaults = dict(save_steps=10, show_dataflow=True, show_memory=True)
defaults.update(dbgprofile_kwargs)
train_hooks.append(tf.train.ProfilerHook(**defaults))
if use_validation_monitor:
tf.logging.info("Using ValidationMonitor")
train_hooks.append(
tf.contrib.learn.monitors.ValidationMonitor(
hooks=eval_hooks, **validation_monitor_kwargs))
if use_early_stopping:
tf.logging.info("Using EarlyStoppingHook")
hook = metrics_hook.EarlyStoppingHook(**early_stopping_kwargs)
# Adding to both training and eval so that eval aborts as well
train_hooks.append(hook)
eval_hooks.append(hook)
return train_hooks, eval_hooks
|
[
"def",
"create_hooks",
"(",
"use_tfdbg",
"=",
"False",
",",
"use_dbgprofile",
"=",
"False",
",",
"dbgprofile_kwargs",
"=",
"None",
",",
"use_validation_monitor",
"=",
"False",
",",
"validation_monitor_kwargs",
"=",
"None",
",",
"use_early_stopping",
"=",
"False",
",",
"early_stopping_kwargs",
"=",
"None",
")",
":",
"train_hooks",
"=",
"[",
"]",
"eval_hooks",
"=",
"[",
"]",
"if",
"use_tfdbg",
":",
"hook",
"=",
"debug",
".",
"LocalCLIDebugHook",
"(",
")",
"train_hooks",
".",
"append",
"(",
"hook",
")",
"eval_hooks",
".",
"append",
"(",
"hook",
")",
"if",
"use_dbgprofile",
":",
"# Recorded traces can be visualized with chrome://tracing/",
"# The memory/tensor lifetime is also profiled",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Using ProfilerHook\"",
")",
"defaults",
"=",
"dict",
"(",
"save_steps",
"=",
"10",
",",
"show_dataflow",
"=",
"True",
",",
"show_memory",
"=",
"True",
")",
"defaults",
".",
"update",
"(",
"dbgprofile_kwargs",
")",
"train_hooks",
".",
"append",
"(",
"tf",
".",
"train",
".",
"ProfilerHook",
"(",
"*",
"*",
"defaults",
")",
")",
"if",
"use_validation_monitor",
":",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Using ValidationMonitor\"",
")",
"train_hooks",
".",
"append",
"(",
"tf",
".",
"contrib",
".",
"learn",
".",
"monitors",
".",
"ValidationMonitor",
"(",
"hooks",
"=",
"eval_hooks",
",",
"*",
"*",
"validation_monitor_kwargs",
")",
")",
"if",
"use_early_stopping",
":",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Using EarlyStoppingHook\"",
")",
"hook",
"=",
"metrics_hook",
".",
"EarlyStoppingHook",
"(",
"*",
"*",
"early_stopping_kwargs",
")",
"# Adding to both training and eval so that eval aborts as well",
"train_hooks",
".",
"append",
"(",
"hook",
")",
"eval_hooks",
".",
"append",
"(",
"hook",
")",
"return",
"train_hooks",
",",
"eval_hooks"
] |
Create train and eval hooks for Experiment.
|
[
"Create",
"train",
"and",
"eval",
"hooks",
"for",
"Experiment",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L328-L365
|
train
|
Create train and eval hooks for Experiment.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(6828 - 6717) + '\063' + chr(0b100011 + 0o16) + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\060', 0o10), ehT0Px3KOsy9(chr(1642 - 1594) + chr(111) + chr(0b110010) + '\x37' + '\066', 0b1000), ehT0Px3KOsy9(chr(2099 - 2051) + chr(0b1001101 + 0o42) + chr(0b10000 + 0o42) + '\x36' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10001 + 0o43) + chr(2797 - 2744), 28620 - 28612), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\066' + '\x32', 10613 - 10605), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b100101 + 0o17) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(0b110011) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(52) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11498 - 11387) + '\063' + chr(692 - 640) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10000 + 0o41) + '\x35' + '\x34', 11366 - 11358), ehT0Px3KOsy9(chr(0b110000) + chr(5377 - 5266) + chr(50) + '\061' + chr(733 - 684), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(2207 - 2155) + '\063', 14625 - 14617), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(1611 - 1562) + chr(358 - 308), 40170 - 40162), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\063' + chr(597 - 543), 20805 - 20797), ehT0Px3KOsy9('\x30' + chr(2672 - 2561) + '\063' + chr(249 - 200), 27452 - 27444), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(954 - 905), 9047 - 9039), ehT0Px3KOsy9('\x30' + chr(12001 - 11890) + '\066' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000 + 0o1) + chr(0b110101) + chr(317 - 268), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001101 + 0o42) + chr(1986 - 1936) + chr(55) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2274 - 2225) + chr(2260 - 2205) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(2271 - 2220) + chr(52) + chr(0b110100), 46695 - 46687), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + '\063' + chr(0b110000) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110000) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9637 - 9526) + '\064' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + chr(0b0 + 0o63) + '\063' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + '\x32' + chr(0b10011 + 0o43) + chr(2327 - 2274), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11800 - 11689) + chr(1254 - 1205) + '\x34' + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2284 - 2173) + chr(50) + chr(51) + chr(0b11011 + 0o34), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b101001 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(458 - 410) + '\157' + chr(765 - 716) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(53) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(1604 - 1493) + chr(0b110001) + chr(54), 3917 - 3909), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + '\x32' + chr(523 - 473) + chr(2281 - 2226), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(55) + chr(1424 - 1370), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b10101 + 0o40) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110110) + '\063', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(502 - 391) + chr(0b110101) + '\060', 24394 - 24386)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2'), '\x64' + '\145' + chr(99) + '\x6f' + '\144' + chr(0b1100101))('\x75' + chr(0b111111 + 0o65) + '\146' + chr(0b101101) + chr(1984 - 1928)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def THrlDbtWQYVT(aOAaFu7OHetJ=ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1100000 + 0o17) + chr(0b110000), 5584 - 5576), MpMZzDLj0We_=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000), 8), xxBq_ZftHCXk=None, D3mxBLLtx1ll=ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(48), 8), rkQ341xqImPp=None, IPBHTAj9NrPw=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1097 - 1049), 8), L4A0vn5L62RH=None):
lmmxrQUdkewH = []
PvFTR40MqcLj = []
if aOAaFu7OHetJ:
SjzcWMjGgX7L = TMWkbl3B9xkv.LocalCLIDebugHook()
xafqLlk3kkUe(lmmxrQUdkewH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad`\xce\xd2K\xd6'), '\x64' + '\145' + '\x63' + chr(111) + chr(0b101110 + 0o66) + '\x65')('\165' + '\164' + chr(102) + chr(45) + '\070'))(SjzcWMjGgX7L)
xafqLlk3kkUe(PvFTR40MqcLj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad`\xce\xd2K\xd6'), chr(7311 - 7211) + chr(101) + chr(0b1011100 + 0o7) + '\x6f' + '\x64' + chr(0b1100101))(chr(1091 - 974) + '\x74' + chr(0b1100110) + chr(45) + chr(2310 - 2254)))(SjzcWMjGgX7L)
if MpMZzDLj0We_:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b"\x9f'\xf6\xcfP\xd1\xc5\xeer\x0e\xbf\x07"), chr(0b1100100) + chr(0b1100101) + chr(0b1000000 + 0o43) + chr(0b1101111) + chr(100) + '\x65')(chr(117) + chr(10423 - 10307) + chr(102) + chr(45) + chr(0b100000 + 0o30)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x99c\xd7\xd9B\x92\xf2\xabw\x04\x8c\x00\xec\x91\x02\xf1vz'), chr(0b1100100) + chr(0b1001110 + 0o27) + chr(1580 - 1481) + chr(111) + chr(0b110111 + 0o55) + chr(8364 - 8263))(chr(0b1110101) + chr(10806 - 10690) + chr(2669 - 2567) + chr(1223 - 1178) + chr(563 - 507)))
sRkYTJirQlN8 = wLqBDw8l0eIm(save_steps=ehT0Px3KOsy9(chr(51 - 3) + chr(0b1101111) + '\x31' + chr(0b1111 + 0o43), 59847 - 59839), show_dataflow=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11010 + 0o27), 0b1000), show_memory=ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + '\x31', 8))
xafqLlk3kkUe(sRkYTJirQlN8, xafqLlk3kkUe(SXOLrMavuUCe(b'\x96d\xff\xf2L\xfc\xe8\xb7aV\x80\\'), '\144' + chr(0b1010100 + 0o21) + '\143' + '\157' + chr(0b1100100) + '\145')(chr(0b101100 + 0o111) + chr(0b1110100) + '\146' + chr(0b10010 + 0o33) + chr(56)))(xxBq_ZftHCXk)
xafqLlk3kkUe(lmmxrQUdkewH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad`\xce\xd2K\xd6'), chr(3010 - 2910) + '\145' + chr(0b1100011) + chr(0b101111 + 0o100) + '\144' + chr(0b100110 + 0o77))(chr(5363 - 5246) + '\x74' + chr(102) + chr(45) + chr(0b1111 + 0o51)))(xafqLlk3kkUe(IDJ2eXGCBCDu.train, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9cb\xd1\xd1L\xde\xc7\xabP\r\x8a\x07'), chr(100) + '\x65' + chr(0b100010 + 0o101) + chr(9334 - 9223) + chr(0b111110 + 0o46) + chr(0b1100101))(chr(117) + chr(12675 - 12559) + chr(0b1100101 + 0o1) + chr(0b101101) + chr(652 - 596)))(**sRkYTJirQlN8))
if D3mxBLLtx1ll:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b"\x9f'\xf6\xcfP\xd1\xc5\xeer\x0e\xbf\x07"), chr(100) + chr(0b1100101) + '\x63' + chr(111) + chr(4214 - 4114) + '\145')(chr(117) + '\x74' + chr(3485 - 3383) + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x99c\xd7\xd9B\x92\xf4\xb8t\x0b\x81\r\xfd\x8a%\xf0T~]\x00p\xd7\x08'), chr(100) + chr(0b101101 + 0o70) + chr(0b1100011) + chr(0b11111 + 0o120) + chr(0b1100100) + chr(0b1010 + 0o133))(chr(117) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000)))
xafqLlk3kkUe(lmmxrQUdkewH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad`\xce\xd2K\xd6'), chr(100) + chr(3844 - 3743) + chr(99) + '\157' + '\x64' + chr(7164 - 7063))(chr(12726 - 12609) + '\164' + chr(102) + chr(248 - 203) + '\070'))(xafqLlk3kkUe(IDJ2eXGCBCDu.contrib.learn.monitors, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9aq\xd2\xdeA\xd3\xd6\xb0w\x0c\xa8\x03\xe7\x8a>\xf1k'), chr(586 - 486) + chr(1007 - 906) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1110101) + '\164' + chr(102) + '\055' + chr(56)))(hooks=PvFTR40MqcLj, **rkQ341xqImPp))
if IPBHTAj9NrPw:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b"\x9f'\xf6\xcfP\xd1\xc5\xeer\x0e\xbf\x07"), chr(0b1000010 + 0o42) + chr(0b1100101) + '\143' + chr(111) + chr(0b1101 + 0o127) + chr(101))(chr(0b1110101) + chr(116) + chr(10331 - 10229) + chr(428 - 383) + chr(0b101101 + 0o13)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x99c\xd7\xd9B\x92\xe7\xb8j\x0e\x9c?\xfd\x8c:\xeep\x7fT!k\xd7\x11'), chr(0b110010 + 0o62) + '\145' + '\143' + chr(0b1101111) + '\x64' + chr(0b1001011 + 0o32))(chr(0b1110101) + chr(0b11010 + 0o132) + '\x66' + chr(1639 - 1594) + '\070'))
SjzcWMjGgX7L = ZmKtsymq4rQe.EarlyStoppingHook(**L4A0vn5L62RH)
xafqLlk3kkUe(lmmxrQUdkewH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad`\xce\xd2K\xd6'), chr(100) + chr(0b1100101) + '\143' + chr(0b1100101 + 0o12) + chr(776 - 676) + chr(101))(chr(0b1110101) + chr(12639 - 12523) + chr(0b10001 + 0o125) + chr(45) + '\070'))(SjzcWMjGgX7L)
xafqLlk3kkUe(PvFTR40MqcLj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad`\xce\xd2K\xd6'), chr(100) + chr(0b1011110 + 0o7) + '\x63' + chr(0b1010100 + 0o33) + chr(0b1100100) + '\145')('\x75' + chr(0b1110100) + chr(7691 - 7589) + '\055' + '\070'))(SjzcWMjGgX7L)
return (lmmxrQUdkewH, PvFTR40MqcLj)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
create_experiment
|
def create_experiment(
run_config,
hparams,
model_name,
problem_name,
data_dir,
train_steps,
eval_steps,
min_eval_frequency=2000,
eval_throttle_seconds=600,
schedule="train_and_evaluate",
export=False,
decode_hparams=None,
use_tfdbg=False,
use_dbgprofile=False,
eval_early_stopping_steps=None,
eval_early_stopping_metric=None,
eval_early_stopping_metric_delta=None,
eval_early_stopping_metric_minimize=True,
eval_timeout_mins=240,
eval_use_test_set=False,
use_tpu=False,
use_tpu_estimator=False,
use_xla=False,
additional_train_hooks=None,
additional_eval_hooks=None,
warm_start_from=None,
decode_from_file="",
decode_to_file="",
decode_reference="",
std_server_protocol=None):
"""Create Experiment."""
# HParams
hparams.add_hparam("model_dir", run_config.model_dir)
hparams.add_hparam("data_dir", data_dir)
hparams.add_hparam("train_steps", train_steps)
hparams.add_hparam("eval_steps", eval_steps)
hparams.add_hparam("schedule", schedule)
hparams.add_hparam("warm_start_from", warm_start_from)
hparams.add_hparam("std_server_protocol", std_server_protocol)
hparams.add_hparam("eval_freq_in_steps", min_eval_frequency)
hparams.add_hparam("eval_timeout_mins", eval_timeout_mins)
if decode_hparams is not None:
decode_hparams.add_hparam("decode_from_file", decode_from_file)
if decode_to_file and not decode_hparams.decode_to_file:
decode_hparams.decode_to_file = decode_to_file
if decode_reference and not decode_hparams.decode_reference:
decode_hparams.decode_reference = decode_reference
add_problem_hparams(hparams, problem_name)
# Estimator
estimator = create_estimator(
model_name,
hparams,
run_config,
schedule=schedule,
decode_hparams=decode_hparams,
use_tpu=use_tpu,
use_tpu_estimator=use_tpu_estimator,
use_xla=use_xla)
# Input fns from Problem
problem = hparams.problem
train_input_fn = problem.make_estimator_input_fn(tf.estimator.ModeKeys.TRAIN,
hparams)
dataset_split = "test" if eval_use_test_set else None
dataset_kwargs = {"dataset_split": dataset_split}
eval_input_fn = problem.make_estimator_input_fn(tf.estimator.ModeKeys.EVAL,
hparams,
dataset_kwargs=dataset_kwargs)
# Export
exporter = None
if export:
def compare_fn(best_eval_result, current_eval_result):
metric = eval_early_stopping_metric or "loss"
return current_eval_result[metric] < best_eval_result[metric]
def serving_input_receiver_fn(hparams, decode_hparams, use_tpu):
return problem.serving_input_fn(hparams, decode_hparams, use_tpu)
exporter = tf.estimator.BestExporter(
name="best",
serving_input_receiver_fn=serving_input_receiver_fn,
compare_fn=compare_fn,
assets_extra=problem.export_assets)
# Hooks
validation_monitor_kwargs = dict(
input_fn=eval_input_fn,
eval_steps=eval_steps,
every_n_steps=min_eval_frequency,
early_stopping_rounds=eval_early_stopping_steps,
early_stopping_metric=eval_early_stopping_metric,
early_stopping_metric_minimize=eval_early_stopping_metric_minimize)
dbgprofile_kwargs = {"output_dir": run_config.model_dir}
early_stopping_kwargs = dict(
events_dir=os.path.join(run_config.model_dir, "eval_continuous"),
tag=eval_early_stopping_metric,
num_plateau_steps=eval_early_stopping_steps,
plateau_decrease=eval_early_stopping_metric_minimize,
plateau_delta=eval_early_stopping_metric_delta,
every_n_steps=min_eval_frequency)
# Eval on TPU Pods is not supported yet
if use_tpu and run_config.tpu_config.num_shards > 8 and "eval" in schedule:
raise ValueError("Eval is not currently supported on a TPU Pod")
# In-process eval (and possible early stopping)
if schedule == "continuous_train_and_eval" and min_eval_frequency:
tf.logging.warn("ValidationMonitor only works with "
"--schedule=train_and_evaluate")
use_validation_monitor = (
schedule == "train_and_evaluate" and min_eval_frequency)
# Distributed early stopping
local_schedules = ["train_and_evaluate", "continuous_train_and_eval"]
use_early_stopping = (
schedule not in local_schedules and eval_early_stopping_steps)
train_hooks, eval_hooks = create_hooks(
use_tfdbg=use_tfdbg,
use_dbgprofile=use_dbgprofile,
dbgprofile_kwargs=dbgprofile_kwargs,
use_validation_monitor=use_validation_monitor,
validation_monitor_kwargs=validation_monitor_kwargs,
use_early_stopping=use_early_stopping,
early_stopping_kwargs=early_stopping_kwargs)
hook_context = HookContext(
estimator=estimator, problem=problem, hparams=hparams)
train_hooks += t2t_model.T2TModel.get_train_hooks(model_name, hook_context)
eval_hooks += t2t_model.T2TModel.get_eval_hooks(model_name, hook_context)
if additional_train_hooks:
train_hooks += additional_train_hooks
if additional_eval_hooks:
eval_hooks += additional_eval_hooks
train_hooks = tf.contrib.learn.monitors.replace_monitors_with_hooks(
train_hooks, estimator)
eval_hooks = tf.contrib.learn.monitors.replace_monitors_with_hooks(
eval_hooks, estimator)
train_spec = tf.estimator.TrainSpec(
train_input_fn, max_steps=train_steps, hooks=train_hooks)
eval_spec = tf.estimator.EvalSpec(
eval_input_fn,
steps=eval_steps,
hooks=eval_hooks,
start_delay_secs=0 if hparams.schedule == "evaluate" else 120,
throttle_secs=eval_throttle_seconds,
exporters=exporter)
return T2TExperiment(estimator, hparams, train_spec, eval_spec,
use_validation_monitor, decode_hparams)
|
python
|
def create_experiment(
run_config,
hparams,
model_name,
problem_name,
data_dir,
train_steps,
eval_steps,
min_eval_frequency=2000,
eval_throttle_seconds=600,
schedule="train_and_evaluate",
export=False,
decode_hparams=None,
use_tfdbg=False,
use_dbgprofile=False,
eval_early_stopping_steps=None,
eval_early_stopping_metric=None,
eval_early_stopping_metric_delta=None,
eval_early_stopping_metric_minimize=True,
eval_timeout_mins=240,
eval_use_test_set=False,
use_tpu=False,
use_tpu_estimator=False,
use_xla=False,
additional_train_hooks=None,
additional_eval_hooks=None,
warm_start_from=None,
decode_from_file="",
decode_to_file="",
decode_reference="",
std_server_protocol=None):
"""Create Experiment."""
# HParams
hparams.add_hparam("model_dir", run_config.model_dir)
hparams.add_hparam("data_dir", data_dir)
hparams.add_hparam("train_steps", train_steps)
hparams.add_hparam("eval_steps", eval_steps)
hparams.add_hparam("schedule", schedule)
hparams.add_hparam("warm_start_from", warm_start_from)
hparams.add_hparam("std_server_protocol", std_server_protocol)
hparams.add_hparam("eval_freq_in_steps", min_eval_frequency)
hparams.add_hparam("eval_timeout_mins", eval_timeout_mins)
if decode_hparams is not None:
decode_hparams.add_hparam("decode_from_file", decode_from_file)
if decode_to_file and not decode_hparams.decode_to_file:
decode_hparams.decode_to_file = decode_to_file
if decode_reference and not decode_hparams.decode_reference:
decode_hparams.decode_reference = decode_reference
add_problem_hparams(hparams, problem_name)
# Estimator
estimator = create_estimator(
model_name,
hparams,
run_config,
schedule=schedule,
decode_hparams=decode_hparams,
use_tpu=use_tpu,
use_tpu_estimator=use_tpu_estimator,
use_xla=use_xla)
# Input fns from Problem
problem = hparams.problem
train_input_fn = problem.make_estimator_input_fn(tf.estimator.ModeKeys.TRAIN,
hparams)
dataset_split = "test" if eval_use_test_set else None
dataset_kwargs = {"dataset_split": dataset_split}
eval_input_fn = problem.make_estimator_input_fn(tf.estimator.ModeKeys.EVAL,
hparams,
dataset_kwargs=dataset_kwargs)
# Export
exporter = None
if export:
def compare_fn(best_eval_result, current_eval_result):
metric = eval_early_stopping_metric or "loss"
return current_eval_result[metric] < best_eval_result[metric]
def serving_input_receiver_fn(hparams, decode_hparams, use_tpu):
return problem.serving_input_fn(hparams, decode_hparams, use_tpu)
exporter = tf.estimator.BestExporter(
name="best",
serving_input_receiver_fn=serving_input_receiver_fn,
compare_fn=compare_fn,
assets_extra=problem.export_assets)
# Hooks
validation_monitor_kwargs = dict(
input_fn=eval_input_fn,
eval_steps=eval_steps,
every_n_steps=min_eval_frequency,
early_stopping_rounds=eval_early_stopping_steps,
early_stopping_metric=eval_early_stopping_metric,
early_stopping_metric_minimize=eval_early_stopping_metric_minimize)
dbgprofile_kwargs = {"output_dir": run_config.model_dir}
early_stopping_kwargs = dict(
events_dir=os.path.join(run_config.model_dir, "eval_continuous"),
tag=eval_early_stopping_metric,
num_plateau_steps=eval_early_stopping_steps,
plateau_decrease=eval_early_stopping_metric_minimize,
plateau_delta=eval_early_stopping_metric_delta,
every_n_steps=min_eval_frequency)
# Eval on TPU Pods is not supported yet
if use_tpu and run_config.tpu_config.num_shards > 8 and "eval" in schedule:
raise ValueError("Eval is not currently supported on a TPU Pod")
# In-process eval (and possible early stopping)
if schedule == "continuous_train_and_eval" and min_eval_frequency:
tf.logging.warn("ValidationMonitor only works with "
"--schedule=train_and_evaluate")
use_validation_monitor = (
schedule == "train_and_evaluate" and min_eval_frequency)
# Distributed early stopping
local_schedules = ["train_and_evaluate", "continuous_train_and_eval"]
use_early_stopping = (
schedule not in local_schedules and eval_early_stopping_steps)
train_hooks, eval_hooks = create_hooks(
use_tfdbg=use_tfdbg,
use_dbgprofile=use_dbgprofile,
dbgprofile_kwargs=dbgprofile_kwargs,
use_validation_monitor=use_validation_monitor,
validation_monitor_kwargs=validation_monitor_kwargs,
use_early_stopping=use_early_stopping,
early_stopping_kwargs=early_stopping_kwargs)
hook_context = HookContext(
estimator=estimator, problem=problem, hparams=hparams)
train_hooks += t2t_model.T2TModel.get_train_hooks(model_name, hook_context)
eval_hooks += t2t_model.T2TModel.get_eval_hooks(model_name, hook_context)
if additional_train_hooks:
train_hooks += additional_train_hooks
if additional_eval_hooks:
eval_hooks += additional_eval_hooks
train_hooks = tf.contrib.learn.monitors.replace_monitors_with_hooks(
train_hooks, estimator)
eval_hooks = tf.contrib.learn.monitors.replace_monitors_with_hooks(
eval_hooks, estimator)
train_spec = tf.estimator.TrainSpec(
train_input_fn, max_steps=train_steps, hooks=train_hooks)
eval_spec = tf.estimator.EvalSpec(
eval_input_fn,
steps=eval_steps,
hooks=eval_hooks,
start_delay_secs=0 if hparams.schedule == "evaluate" else 120,
throttle_secs=eval_throttle_seconds,
exporters=exporter)
return T2TExperiment(estimator, hparams, train_spec, eval_spec,
use_validation_monitor, decode_hparams)
|
[
"def",
"create_experiment",
"(",
"run_config",
",",
"hparams",
",",
"model_name",
",",
"problem_name",
",",
"data_dir",
",",
"train_steps",
",",
"eval_steps",
",",
"min_eval_frequency",
"=",
"2000",
",",
"eval_throttle_seconds",
"=",
"600",
",",
"schedule",
"=",
"\"train_and_evaluate\"",
",",
"export",
"=",
"False",
",",
"decode_hparams",
"=",
"None",
",",
"use_tfdbg",
"=",
"False",
",",
"use_dbgprofile",
"=",
"False",
",",
"eval_early_stopping_steps",
"=",
"None",
",",
"eval_early_stopping_metric",
"=",
"None",
",",
"eval_early_stopping_metric_delta",
"=",
"None",
",",
"eval_early_stopping_metric_minimize",
"=",
"True",
",",
"eval_timeout_mins",
"=",
"240",
",",
"eval_use_test_set",
"=",
"False",
",",
"use_tpu",
"=",
"False",
",",
"use_tpu_estimator",
"=",
"False",
",",
"use_xla",
"=",
"False",
",",
"additional_train_hooks",
"=",
"None",
",",
"additional_eval_hooks",
"=",
"None",
",",
"warm_start_from",
"=",
"None",
",",
"decode_from_file",
"=",
"\"\"",
",",
"decode_to_file",
"=",
"\"\"",
",",
"decode_reference",
"=",
"\"\"",
",",
"std_server_protocol",
"=",
"None",
")",
":",
"# HParams",
"hparams",
".",
"add_hparam",
"(",
"\"model_dir\"",
",",
"run_config",
".",
"model_dir",
")",
"hparams",
".",
"add_hparam",
"(",
"\"data_dir\"",
",",
"data_dir",
")",
"hparams",
".",
"add_hparam",
"(",
"\"train_steps\"",
",",
"train_steps",
")",
"hparams",
".",
"add_hparam",
"(",
"\"eval_steps\"",
",",
"eval_steps",
")",
"hparams",
".",
"add_hparam",
"(",
"\"schedule\"",
",",
"schedule",
")",
"hparams",
".",
"add_hparam",
"(",
"\"warm_start_from\"",
",",
"warm_start_from",
")",
"hparams",
".",
"add_hparam",
"(",
"\"std_server_protocol\"",
",",
"std_server_protocol",
")",
"hparams",
".",
"add_hparam",
"(",
"\"eval_freq_in_steps\"",
",",
"min_eval_frequency",
")",
"hparams",
".",
"add_hparam",
"(",
"\"eval_timeout_mins\"",
",",
"eval_timeout_mins",
")",
"if",
"decode_hparams",
"is",
"not",
"None",
":",
"decode_hparams",
".",
"add_hparam",
"(",
"\"decode_from_file\"",
",",
"decode_from_file",
")",
"if",
"decode_to_file",
"and",
"not",
"decode_hparams",
".",
"decode_to_file",
":",
"decode_hparams",
".",
"decode_to_file",
"=",
"decode_to_file",
"if",
"decode_reference",
"and",
"not",
"decode_hparams",
".",
"decode_reference",
":",
"decode_hparams",
".",
"decode_reference",
"=",
"decode_reference",
"add_problem_hparams",
"(",
"hparams",
",",
"problem_name",
")",
"# Estimator",
"estimator",
"=",
"create_estimator",
"(",
"model_name",
",",
"hparams",
",",
"run_config",
",",
"schedule",
"=",
"schedule",
",",
"decode_hparams",
"=",
"decode_hparams",
",",
"use_tpu",
"=",
"use_tpu",
",",
"use_tpu_estimator",
"=",
"use_tpu_estimator",
",",
"use_xla",
"=",
"use_xla",
")",
"# Input fns from Problem",
"problem",
"=",
"hparams",
".",
"problem",
"train_input_fn",
"=",
"problem",
".",
"make_estimator_input_fn",
"(",
"tf",
".",
"estimator",
".",
"ModeKeys",
".",
"TRAIN",
",",
"hparams",
")",
"dataset_split",
"=",
"\"test\"",
"if",
"eval_use_test_set",
"else",
"None",
"dataset_kwargs",
"=",
"{",
"\"dataset_split\"",
":",
"dataset_split",
"}",
"eval_input_fn",
"=",
"problem",
".",
"make_estimator_input_fn",
"(",
"tf",
".",
"estimator",
".",
"ModeKeys",
".",
"EVAL",
",",
"hparams",
",",
"dataset_kwargs",
"=",
"dataset_kwargs",
")",
"# Export",
"exporter",
"=",
"None",
"if",
"export",
":",
"def",
"compare_fn",
"(",
"best_eval_result",
",",
"current_eval_result",
")",
":",
"metric",
"=",
"eval_early_stopping_metric",
"or",
"\"loss\"",
"return",
"current_eval_result",
"[",
"metric",
"]",
"<",
"best_eval_result",
"[",
"metric",
"]",
"def",
"serving_input_receiver_fn",
"(",
"hparams",
",",
"decode_hparams",
",",
"use_tpu",
")",
":",
"return",
"problem",
".",
"serving_input_fn",
"(",
"hparams",
",",
"decode_hparams",
",",
"use_tpu",
")",
"exporter",
"=",
"tf",
".",
"estimator",
".",
"BestExporter",
"(",
"name",
"=",
"\"best\"",
",",
"serving_input_receiver_fn",
"=",
"serving_input_receiver_fn",
",",
"compare_fn",
"=",
"compare_fn",
",",
"assets_extra",
"=",
"problem",
".",
"export_assets",
")",
"# Hooks",
"validation_monitor_kwargs",
"=",
"dict",
"(",
"input_fn",
"=",
"eval_input_fn",
",",
"eval_steps",
"=",
"eval_steps",
",",
"every_n_steps",
"=",
"min_eval_frequency",
",",
"early_stopping_rounds",
"=",
"eval_early_stopping_steps",
",",
"early_stopping_metric",
"=",
"eval_early_stopping_metric",
",",
"early_stopping_metric_minimize",
"=",
"eval_early_stopping_metric_minimize",
")",
"dbgprofile_kwargs",
"=",
"{",
"\"output_dir\"",
":",
"run_config",
".",
"model_dir",
"}",
"early_stopping_kwargs",
"=",
"dict",
"(",
"events_dir",
"=",
"os",
".",
"path",
".",
"join",
"(",
"run_config",
".",
"model_dir",
",",
"\"eval_continuous\"",
")",
",",
"tag",
"=",
"eval_early_stopping_metric",
",",
"num_plateau_steps",
"=",
"eval_early_stopping_steps",
",",
"plateau_decrease",
"=",
"eval_early_stopping_metric_minimize",
",",
"plateau_delta",
"=",
"eval_early_stopping_metric_delta",
",",
"every_n_steps",
"=",
"min_eval_frequency",
")",
"# Eval on TPU Pods is not supported yet",
"if",
"use_tpu",
"and",
"run_config",
".",
"tpu_config",
".",
"num_shards",
">",
"8",
"and",
"\"eval\"",
"in",
"schedule",
":",
"raise",
"ValueError",
"(",
"\"Eval is not currently supported on a TPU Pod\"",
")",
"# In-process eval (and possible early stopping)",
"if",
"schedule",
"==",
"\"continuous_train_and_eval\"",
"and",
"min_eval_frequency",
":",
"tf",
".",
"logging",
".",
"warn",
"(",
"\"ValidationMonitor only works with \"",
"\"--schedule=train_and_evaluate\"",
")",
"use_validation_monitor",
"=",
"(",
"schedule",
"==",
"\"train_and_evaluate\"",
"and",
"min_eval_frequency",
")",
"# Distributed early stopping",
"local_schedules",
"=",
"[",
"\"train_and_evaluate\"",
",",
"\"continuous_train_and_eval\"",
"]",
"use_early_stopping",
"=",
"(",
"schedule",
"not",
"in",
"local_schedules",
"and",
"eval_early_stopping_steps",
")",
"train_hooks",
",",
"eval_hooks",
"=",
"create_hooks",
"(",
"use_tfdbg",
"=",
"use_tfdbg",
",",
"use_dbgprofile",
"=",
"use_dbgprofile",
",",
"dbgprofile_kwargs",
"=",
"dbgprofile_kwargs",
",",
"use_validation_monitor",
"=",
"use_validation_monitor",
",",
"validation_monitor_kwargs",
"=",
"validation_monitor_kwargs",
",",
"use_early_stopping",
"=",
"use_early_stopping",
",",
"early_stopping_kwargs",
"=",
"early_stopping_kwargs",
")",
"hook_context",
"=",
"HookContext",
"(",
"estimator",
"=",
"estimator",
",",
"problem",
"=",
"problem",
",",
"hparams",
"=",
"hparams",
")",
"train_hooks",
"+=",
"t2t_model",
".",
"T2TModel",
".",
"get_train_hooks",
"(",
"model_name",
",",
"hook_context",
")",
"eval_hooks",
"+=",
"t2t_model",
".",
"T2TModel",
".",
"get_eval_hooks",
"(",
"model_name",
",",
"hook_context",
")",
"if",
"additional_train_hooks",
":",
"train_hooks",
"+=",
"additional_train_hooks",
"if",
"additional_eval_hooks",
":",
"eval_hooks",
"+=",
"additional_eval_hooks",
"train_hooks",
"=",
"tf",
".",
"contrib",
".",
"learn",
".",
"monitors",
".",
"replace_monitors_with_hooks",
"(",
"train_hooks",
",",
"estimator",
")",
"eval_hooks",
"=",
"tf",
".",
"contrib",
".",
"learn",
".",
"monitors",
".",
"replace_monitors_with_hooks",
"(",
"eval_hooks",
",",
"estimator",
")",
"train_spec",
"=",
"tf",
".",
"estimator",
".",
"TrainSpec",
"(",
"train_input_fn",
",",
"max_steps",
"=",
"train_steps",
",",
"hooks",
"=",
"train_hooks",
")",
"eval_spec",
"=",
"tf",
".",
"estimator",
".",
"EvalSpec",
"(",
"eval_input_fn",
",",
"steps",
"=",
"eval_steps",
",",
"hooks",
"=",
"eval_hooks",
",",
"start_delay_secs",
"=",
"0",
"if",
"hparams",
".",
"schedule",
"==",
"\"evaluate\"",
"else",
"120",
",",
"throttle_secs",
"=",
"eval_throttle_seconds",
",",
"exporters",
"=",
"exporter",
")",
"return",
"T2TExperiment",
"(",
"estimator",
",",
"hparams",
",",
"train_spec",
",",
"eval_spec",
",",
"use_validation_monitor",
",",
"decode_hparams",
")"
] |
Create Experiment.
|
[
"Create",
"Experiment",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L613-L767
|
train
|
Create Experiment.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(191 - 143) + chr(0b110010 + 0o75) + '\064' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110000) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(218 - 170) + chr(0b1101111) + '\x32' + '\061' + chr(1606 - 1552), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4514 - 4403) + chr(0b101 + 0o54) + '\066' + chr(49), 43272 - 43264), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\x32' + chr(1112 - 1064), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\066' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11010 + 0o31) + '\x34' + chr(0b1001 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(541 - 493) + chr(0b100111 + 0o110) + '\x33' + chr(0b10011 + 0o44) + chr(0b110101), 36535 - 36527), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + '\x32' + '\065' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + chr(2538 - 2487) + chr(0b110001 + 0o3) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2821 - 2710) + chr(0b110011) + chr(50) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b101000 + 0o15) + chr(0b110110), 60371 - 60363), ehT0Px3KOsy9(chr(0b110000) + chr(9306 - 9195) + '\x31' + chr(2208 - 2160) + chr(1074 - 1026), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b110011 + 0o0) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1853 - 1802) + chr(53) + chr(54), 32785 - 32777), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(55) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4007 - 3896) + '\x32' + '\065' + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110100) + chr(1177 - 1124), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101100 + 0o3) + chr(1538 - 1487) + '\060' + chr(0b110010), 8857 - 8849), ehT0Px3KOsy9(chr(481 - 433) + chr(0b1000101 + 0o52) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b1101 + 0o50) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + chr(50) + chr(48) + '\x33', 0b1000), ehT0Px3KOsy9(chr(313 - 265) + chr(0b1101111) + chr(54) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1198 - 1150) + chr(9031 - 8920) + chr(0b101110 + 0o5) + chr(0b110001) + chr(51), 22573 - 22565), ehT0Px3KOsy9(chr(2281 - 2233) + chr(0b1101111) + '\x31' + chr(55) + '\060', 26856 - 26848), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(2159 - 2111) + '\x32', 8), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + '\063' + '\x32' + '\x35', 7910 - 7902), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100111 + 0o14) + '\x32' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2290 - 2240) + '\x33' + chr(0b110100), 2990 - 2982), ehT0Px3KOsy9('\x30' + chr(0b10101 + 0o132) + chr(2335 - 2285) + chr(49) + chr(0b101001 + 0o12), 0b1000), ehT0Px3KOsy9(chr(1341 - 1293) + '\x6f' + chr(49) + chr(0b101001 + 0o11) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b110100) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + '\063' + chr(0b110011) + '\066', 26911 - 26903), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101110 + 0o5) + chr(52) + chr(0b110011), 23562 - 23554), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1220 - 1167) + chr(0b10 + 0o60), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(12258 - 12147) + chr(0b110111), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\x35' + chr(0b101011 + 0o6), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(50) + chr(0b1001 + 0o54) + chr(49), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(52) + chr(0b100011 + 0o23), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b110101) + chr(0b101110 + 0o2), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x08'), chr(0b1100001 + 0o3) + chr(0b1100101) + chr(5134 - 5035) + '\157' + chr(0b1010100 + 0o20) + '\x65')(chr(117) + chr(0b110010 + 0o102) + chr(6687 - 6585) + chr(0b101101) + chr(411 - 355)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def X0eW2bwav1V_(XwFhQmkvbPWZ, n4ljua2gi1Pr, yJFe33rl9i_r, wezGpYDorAsK, kVFRD544hi_1, daYMko0joBwR, K3bHLghgmarn, tvz3sz0cLvp8=ehT0Px3KOsy9('\x30' + chr(1707 - 1596) + chr(1531 - 1480) + '\x37' + chr(373 - 323) + chr(1477 - 1429), 0o10), wL7GC0rOKmyQ=ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(657 - 608) + chr(0b10011 + 0o40) + '\x30', 45645 - 45637), UAGQwjlXRoHO=xafqLlk3kkUe(SXOLrMavuUCe(b'R4\xef\x18\xfe\xaa\x87\x93\xcc\xbb\xb5\x18!\xf6\x9b\xde\xdc@'), '\x64' + chr(0b1100101) + chr(0b110001 + 0o62) + '\x6f' + chr(2247 - 2147) + chr(1822 - 1721))(chr(117) + chr(116) + chr(0b1110 + 0o130) + chr(0b101010 + 0o3) + '\x38'), X6gO1f_c_Lwv=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000), 0b1000), LrQSWg3uwmK8=None, aOAaFu7OHetJ=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x30', 8), MpMZzDLj0We_=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x30', 8), _DJUOidYZyoz=None, pGWIIcCy8LwQ=None, jkTgmYcAedlE=None, nNAVPDFq99aq=ehT0Px3KOsy9(chr(0b110000) + chr(843 - 732) + chr(0b100101 + 0o14), ord("\x08")), Pzf12Ap0uXQl=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\x36' + chr(2079 - 2031), 0b1000), dqhMXIEko4W4=ehT0Px3KOsy9('\060' + '\x6f' + '\x30', 8), L4eE7kczIJwa=ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x30', 8), WlPMgUshPxaI=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b0 + 0o60), 8), zWe_89vUZaOw=ehT0Px3KOsy9(chr(48) + chr(111) + chr(444 - 396), 8), r2gZJX6KH8pr=None, T__o_V4DFC9g=None, qhCOXPKlLmvZ=None, TTsk1pxwDMKj=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1011001 + 0o13) + '\x65' + '\x63' + '\157' + chr(0b110100 + 0o60) + chr(101))(chr(0b101110 + 0o107) + chr(116) + chr(1318 - 1216) + chr(1220 - 1175) + chr(2554 - 2498)), fIXoiUadZGQd=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b10000 + 0o124) + chr(101) + '\x63' + chr(0b1001110 + 0o41) + chr(0b1100100) + chr(0b10111 + 0o116))(chr(2950 - 2833) + '\164' + chr(102) + chr(512 - 467) + chr(2174 - 2118)), J9ZlcrnobGRy=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1010110 + 0o16) + chr(0b101101 + 0o70) + chr(0b1100011) + '\157' + '\144' + chr(0b1100101))(chr(7171 - 7054) + '\x74' + chr(0b1100 + 0o132) + chr(716 - 671) + '\070'), pNaR9EHdlI_W=None):
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'G"\xea.\xf8\x85\x87\x8f\xc9\x89'), chr(2487 - 2387) + chr(0b110000 + 0o65) + chr(0b1010101 + 0o16) + chr(0b101100 + 0o103) + chr(0b1100100) + chr(101))(chr(6266 - 6149) + chr(0b10101 + 0o137) + chr(102) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'K)\xea\x14\xfc\xaa\x82\x94\xda'), chr(100) + chr(8632 - 8531) + chr(0b1011100 + 0o7) + chr(5965 - 5854) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + chr(954 - 909) + chr(0b111000)), xafqLlk3kkUe(XwFhQmkvbPWZ, xafqLlk3kkUe(SXOLrMavuUCe(b'K)\xea\x14\xfc\xaa\x82\x94\xda'), '\144' + chr(6837 - 6736) + chr(0b1100011) + chr(0b101001 + 0o106) + chr(100) + chr(1025 - 924))(chr(0b1110101) + chr(0b1011001 + 0o33) + chr(102) + chr(45) + '\070')))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'G"\xea.\xf8\x85\x87\x8f\xc9\x89'), '\x64' + chr(101) + '\x63' + chr(111) + '\144' + chr(0b1001011 + 0o32))(chr(0b1010000 + 0o45) + '\x74' + chr(102) + chr(45) + chr(0b10011 + 0o45)))(xafqLlk3kkUe(SXOLrMavuUCe(b"B'\xfa\x10\xcf\x91\x8f\x8f"), '\x64' + chr(101) + '\143' + '\157' + '\144' + chr(0b1011 + 0o132))(chr(0b1010 + 0o153) + chr(0b1100 + 0o150) + chr(102) + '\x2d' + chr(0b111000)), kVFRD544hi_1)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'G"\xea.\xf8\x85\x87\x8f\xc9\x89'), chr(0b1001111 + 0o25) + '\145' + '\x63' + chr(0b10110 + 0o131) + '\x64' + '\145')('\165' + '\164' + chr(0b1100000 + 0o6) + chr(193 - 148) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'R4\xef\x18\xfe\xaa\x95\x89\xcd\x94\xa3'), '\x64' + chr(101) + chr(2335 - 2236) + chr(0b1011 + 0o144) + chr(3695 - 3595) + chr(8707 - 8606))(chr(6268 - 6151) + chr(0b1110100) + chr(225 - 123) + chr(0b101101) + chr(56)), daYMko0joBwR)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'G"\xea.\xf8\x85\x87\x8f\xc9\x89'), '\144' + '\x65' + '\x63' + chr(0b1101111) + '\144' + chr(7966 - 7865))(chr(117) + chr(0b1110100) + '\x66' + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'C0\xef\x1d\xcf\x86\x92\x98\xd8\x97'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(116) + chr(0b111000 + 0o56) + chr(0b1000 + 0o45) + chr(702 - 646)), K3bHLghgmarn)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'G"\xea.\xf8\x85\x87\x8f\xc9\x89'), chr(0b111010 + 0o52) + chr(0b1000011 + 0o42) + '\x63' + chr(10009 - 9898) + '\x64' + chr(0b1100101))(chr(117) + chr(0b1100101 + 0o17) + chr(6681 - 6579) + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'U%\xe6\x14\xf4\x80\x8a\x98'), chr(1339 - 1239) + '\145' + '\x63' + '\157' + chr(100) + chr(0b111111 + 0o46))('\x75' + '\164' + chr(102) + '\055' + chr(0b111000)), UAGQwjlXRoHO)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'G"\xea.\xf8\x85\x87\x8f\xc9\x89'), chr(0b1100100) + chr(101) + '\143' + chr(2197 - 2086) + chr(7858 - 7758) + chr(0b1100101))(chr(117) + '\164' + '\x66' + chr(0b100000 + 0o15) + chr(0b101100 + 0o14)))(xafqLlk3kkUe(SXOLrMavuUCe(b"Q'\xfc\x1c\xcf\x86\x92\x9c\xda\x90\x8f\x082\xf5\x83"), chr(0b1100100) + chr(3984 - 3883) + '\143' + chr(0b1101111) + chr(0b1001 + 0o133) + chr(5484 - 5383))(chr(0b1011000 + 0o35) + '\164' + chr(102) + chr(1073 - 1028) + chr(638 - 582)), qhCOXPKlLmvZ)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'G"\xea.\xf8\x85\x87\x8f\xc9\x89'), chr(100) + chr(6872 - 6771) + chr(5886 - 5787) + '\x6f' + '\144' + chr(101))('\x75' + chr(0b1110100) + '\x66' + chr(675 - 630) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'U2\xea.\xe3\x90\x94\x8b\xcd\x96\x8f\x1e2\xf5\x9a\xd0\xcbJ\xae'), '\x64' + '\145' + chr(8979 - 8880) + chr(0b1100100 + 0o13) + chr(6572 - 6472) + chr(0b11111 + 0o106))(chr(117) + chr(1252 - 1136) + chr(102) + chr(45) + '\x38'), pNaR9EHdlI_W)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'G"\xea.\xf8\x85\x87\x8f\xc9\x89'), chr(0b1100100) + chr(0b1011011 + 0o12) + chr(0b1100011) + '\x6f' + chr(0b11101 + 0o107) + '\145')('\165' + chr(116) + chr(0b11111 + 0o107) + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'C0\xef\x1d\xcf\x93\x94\x98\xd9\xbb\xb9\x00\x1f\xe9\x9a\xda\xd8V'), '\144' + '\145' + '\143' + chr(111) + '\144' + chr(0b1010001 + 0o24))(chr(5262 - 5145) + chr(116) + '\146' + chr(0b101101) + chr(0b11011 + 0o35)), tvz3sz0cLvp8)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'G"\xea.\xf8\x85\x87\x8f\xc9\x89'), chr(100) + chr(0b1100101) + chr(0b110000 + 0o63) + chr(779 - 668) + chr(0b1100100) + chr(0b1011110 + 0o7))('\x75' + chr(5507 - 5391) + chr(1087 - 985) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'C0\xef\x1d\xcf\x81\x8f\x90\xcd\x8b\xa5\x1a\x1f\xf7\x87\xd1\xdb'), '\x64' + chr(0b1100101) + chr(99) + chr(7725 - 7614) + '\144' + '\145')(chr(0b1001010 + 0o53) + chr(0b100111 + 0o115) + chr(4998 - 4896) + '\x2d' + '\070'), Pzf12Ap0uXQl)
if LrQSWg3uwmK8 is not None:
xafqLlk3kkUe(LrQSWg3uwmK8, xafqLlk3kkUe(SXOLrMavuUCe(b'G"\xea.\xf8\x85\x87\x8f\xc9\x89'), chr(100) + chr(9853 - 9752) + chr(7651 - 7552) + chr(0b1101111) + chr(0b101110 + 0o66) + chr(0b1100101))(chr(0b1110101) + chr(0b11001 + 0o133) + chr(7455 - 7353) + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'B#\xed\x1e\xf4\x90\xb9\x9b\xda\x8b\xbd1&\xf3\x82\xda'), chr(100) + chr(0b1100101) + chr(99) + '\157' + chr(7999 - 7899) + chr(0b110011 + 0o62))(chr(0b1010111 + 0o36) + chr(10627 - 10511) + chr(0b101101 + 0o71) + '\x2d' + '\x38'), TTsk1pxwDMKj)
if fIXoiUadZGQd and (not xafqLlk3kkUe(LrQSWg3uwmK8, xafqLlk3kkUe(SXOLrMavuUCe(b'B#\xed\x1e\xf4\x90\xb9\x89\xc7\xbb\xb6\x07,\xff'), chr(0b1100100) + chr(101) + '\143' + '\x6f' + chr(0b1100100) + chr(101))(chr(117) + chr(0b1110100) + '\146' + chr(1010 - 965) + '\x38'))):
LrQSWg3uwmK8.fIXoiUadZGQd = fIXoiUadZGQd
if J9ZlcrnobGRy and (not xafqLlk3kkUe(LrQSWg3uwmK8, xafqLlk3kkUe(SXOLrMavuUCe(b'B#\xed\x1e\xf4\x90\xb9\x8f\xcd\x82\xb5\x1c%\xf4\x8d\xda'), '\x64' + chr(4051 - 3950) + '\x63' + chr(0b1101111) + '\144' + chr(0b11010 + 0o113))('\x75' + chr(116) + chr(102) + chr(0b101101) + chr(2836 - 2780)))):
LrQSWg3uwmK8.J9ZlcrnobGRy = J9ZlcrnobGRy
VNgGitn5Onxw(n4ljua2gi1Pr, wezGpYDorAsK)
GDZi5OTNos9m = cWHAvGFumVTv(yJFe33rl9i_r, n4ljua2gi1Pr, XwFhQmkvbPWZ, schedule=UAGQwjlXRoHO, decode_hparams=LrQSWg3uwmK8, use_tpu=L4eE7kczIJwa, use_tpu_estimator=WlPMgUshPxaI, use_xla=zWe_89vUZaOw)
sO7e1A_Mor6Q = n4ljua2gi1Pr.sO7e1A_Mor6Q
TBP09JdcUsGY = sO7e1A_Mor6Q.make_estimator_input_fn(IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN, n4ljua2gi1Pr)
XqbfPmad1kJ4 = xafqLlk3kkUe(SXOLrMavuUCe(b'R#\xfd\x05'), '\x64' + chr(0b1011011 + 0o12) + '\143' + chr(111) + chr(7693 - 7593) + '\145')(chr(2956 - 2839) + chr(116) + '\146' + chr(2020 - 1975) + chr(0b101000 + 0o20)) if dqhMXIEko4W4 else None
Sa4GuE_apyvu = {xafqLlk3kkUe(SXOLrMavuUCe(b"B'\xfa\x10\xe3\x90\x92\xa2\xdb\x94\xbc\x074"), chr(2414 - 2314) + chr(101) + chr(0b110111 + 0o54) + chr(5483 - 5372) + chr(5548 - 5448) + chr(0b110101 + 0o60))(chr(0b1010001 + 0o44) + chr(0b1000101 + 0o57) + chr(102) + chr(0b101101) + chr(0b101111 + 0o11)): XqbfPmad1kJ4}
PrbJ_PjvSczj = sO7e1A_Mor6Q.make_estimator_input_fn(IDJ2eXGCBCDu.estimator.ModeKeys.EVAL, n4ljua2gi1Pr, dataset_kwargs=Sa4GuE_apyvu)
JlPWe5_dqyKi = None
if X6gO1f_c_Lwv:
def Y5jZl0USiS30(oGsUp472uZHg, zRk2tBLwiLB8):
UyTbk4dY9zDl = pGWIIcCy8LwQ or xafqLlk3kkUe(SXOLrMavuUCe(b'J)\xfd\x02'), chr(0b1100100) + chr(5152 - 5051) + '\143' + chr(4381 - 4270) + '\144' + chr(9626 - 9525))(chr(117) + chr(116) + chr(5492 - 5390) + chr(0b101101) + chr(0b111000))
return zRk2tBLwiLB8[UyTbk4dY9zDl] < oGsUp472uZHg[UyTbk4dY9zDl]
def xRWfFoYk3010(n4ljua2gi1Pr, LrQSWg3uwmK8, L4eE7kczIJwa):
return xafqLlk3kkUe(sO7e1A_Mor6Q, xafqLlk3kkUe(SXOLrMavuUCe(b'U#\xfc\x07\xf9\x9b\x81\xa2\xc1\x8a\xa0\x1b4\xc5\x88\xd1'), chr(3203 - 3103) + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\144' + chr(101))(chr(0b1 + 0o164) + chr(0b1110100) + '\x66' + '\x2d' + '\x38'))(n4ljua2gi1Pr, LrQSWg3uwmK8, L4eE7kczIJwa)
JlPWe5_dqyKi = IDJ2eXGCBCDu.estimator.BestExporter(name=xafqLlk3kkUe(SXOLrMavuUCe(b'D#\xfd\x05'), '\x64' + chr(0b110 + 0o137) + chr(0b1011111 + 0o4) + '\x6f' + chr(8363 - 8263) + chr(101))('\165' + '\x74' + chr(0b1100110) + chr(45) + '\070'), serving_input_receiver_fn=xRWfFoYk3010, compare_fn=Y5jZl0USiS30, assets_extra=sO7e1A_Mor6Q.export_assets)
rkQ341xqImPp = wLqBDw8l0eIm(input_fn=PrbJ_PjvSczj, eval_steps=K3bHLghgmarn, every_n_steps=tvz3sz0cLvp8, early_stopping_rounds=_DJUOidYZyoz, early_stopping_metric=pGWIIcCy8LwQ, early_stopping_metric_minimize=nNAVPDFq99aq)
xxBq_ZftHCXk = {xafqLlk3kkUe(SXOLrMavuUCe(b'I3\xfa\x01\xe5\x81\xb9\x99\xc1\x96'), chr(4206 - 4106) + '\145' + chr(0b10101 + 0o116) + chr(0b1101111) + '\x64' + chr(0b10011 + 0o122))(chr(0b10110 + 0o137) + '\x74' + '\146' + '\055' + chr(56)): XwFhQmkvbPWZ.model_dir}
L4A0vn5L62RH = wLqBDw8l0eIm(events_dir=oqhJDdMJfuwx.path.join(XwFhQmkvbPWZ.model_dir, xafqLlk3kkUe(SXOLrMavuUCe(b'C0\xef\x1d\xcf\x96\x89\x93\xdc\x8d\xbe\x1b/\xef\x9d'), chr(0b1100000 + 0o4) + chr(0b1001110 + 0o27) + chr(99) + chr(0b1011010 + 0o25) + '\144' + chr(101))(chr(12667 - 12550) + chr(1923 - 1807) + '\x66' + chr(45) + chr(0b101110 + 0o12))), tag=pGWIIcCy8LwQ, num_plateau_steps=_DJUOidYZyoz, plateau_decrease=nNAVPDFq99aq, plateau_delta=jkTgmYcAedlE, every_n_steps=tvz3sz0cLvp8)
if L4eE7kczIJwa and xafqLlk3kkUe(XwFhQmkvbPWZ.tpu_config, xafqLlk3kkUe(SXOLrMavuUCe(b'H3\xe3.\xe3\x9d\x87\x8f\xcc\x97'), chr(100) + '\145' + chr(9593 - 9494) + chr(0b1101111) + '\x64' + '\145')('\165' + chr(0b1110100) + chr(0b1010001 + 0o25) + chr(45) + '\070')) > ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b101001 + 0o106) + '\x31' + chr(1321 - 1273), 0o10) and (xafqLlk3kkUe(SXOLrMavuUCe(b'C0\xef\x1d'), '\x64' + '\x65' + chr(3891 - 3792) + '\x6f' + chr(0b110110 + 0o56) + '\145')(chr(12298 - 12181) + chr(116) + chr(102) + chr(45) + chr(0b10000 + 0o50)) in UAGQwjlXRoHO):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b"c0\xef\x1d\xb0\x9c\x95\xdd\xc6\x8b\xa4N#\xef\x9c\xcd\xcdK\xb6k\x14\xa3G\xbe\x08\xb2\xba\xa6\xe8\xee0E\xb1\x8d\nu'\xfd\xf93\x06\x16\xe1\x15"), chr(6333 - 6233) + chr(2350 - 2249) + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(210 - 154)))
if UAGQwjlXRoHO == xafqLlk3kkUe(SXOLrMavuUCe(b'E)\xe0\x05\xf9\x9b\x93\x92\xdd\x97\x8f\x1a2\xfb\x87\xd1\xf7D\xacc2\xe6B\xaa\x14'), chr(8071 - 7971) + chr(0b1011001 + 0o14) + '\x63' + chr(0b1101111) + chr(9155 - 9055) + '\x65')(chr(117) + '\x74' + chr(8439 - 8337) + '\055' + '\070') and tvz3sz0cLvp8:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'H\x02\xcb\x1f\xde\xb7\x87\x9f\xee\xaa\x9b\x03'), '\144' + chr(7417 - 7316) + chr(99) + chr(111) + '\x64' + '\145')(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b11 + 0o52) + chr(2358 - 2302)))(xafqLlk3kkUe(SXOLrMavuUCe(b"p'\xe2\x18\xf4\x94\x92\x94\xc7\x8a\x9d\x01.\xf3\x9a\xd0\xda\x05\xadi\x01\xfa\x14\xbc\x17\xb0\xbe\xa7\xbc\xfc=\x11\xb6\xc3\x079t\xca\xc1\x03B3\xe2\x14\xad\x81\x94\x9c\xc1\x8a\x8f\x0f.\xfe\xb1\xda\xdeD\xaer\x0c\xf7Q"), chr(0b1100100) + chr(0b1100101) + chr(0b101011 + 0o70) + chr(111) + chr(100) + '\x65')(chr(3271 - 3154) + chr(7948 - 7832) + chr(102) + chr(45) + '\x38'))
D3mxBLLtx1ll = UAGQwjlXRoHO == xafqLlk3kkUe(SXOLrMavuUCe(b'R4\xef\x18\xfe\xaa\x87\x93\xcc\xbb\xb5\x18!\xf6\x9b\xde\xdc@'), '\144' + '\145' + '\143' + chr(10081 - 9970) + chr(0b1101 + 0o127) + chr(101))('\165' + '\164' + chr(0b1100110) + chr(45) + '\070') and tvz3sz0cLvp8
EIUtjVAbnEqw = [xafqLlk3kkUe(SXOLrMavuUCe(b'R4\xef\x18\xfe\xaa\x87\x93\xcc\xbb\xb5\x18!\xf6\x9b\xde\xdc@'), chr(0b1011101 + 0o7) + chr(0b1100101) + '\x63' + chr(111) + chr(100) + '\x65')('\165' + chr(0b10111 + 0o135) + chr(0b1100110 + 0o0) + '\055' + chr(880 - 824)), xafqLlk3kkUe(SXOLrMavuUCe(b'E)\xe0\x05\xf9\x9b\x93\x92\xdd\x97\x8f\x1a2\xfb\x87\xd1\xf7D\xacc2\xe6B\xaa\x14'), chr(100) + '\x65' + chr(0b101100 + 0o67) + '\157' + chr(0b1011001 + 0o13) + chr(7374 - 7273))('\165' + '\x74' + chr(4762 - 4660) + '\x2d' + '\070')]
IPBHTAj9NrPw = UAGQwjlXRoHO not in EIUtjVAbnEqw and _DJUOidYZyoz
(lmmxrQUdkewH, PvFTR40MqcLj) = THrlDbtWQYVT(use_tfdbg=aOAaFu7OHetJ, use_dbgprofile=MpMZzDLj0We_, dbgprofile_kwargs=xxBq_ZftHCXk, use_validation_monitor=D3mxBLLtx1ll, validation_monitor_kwargs=rkQ341xqImPp, use_early_stopping=IPBHTAj9NrPw, early_stopping_kwargs=L4A0vn5L62RH)
G1We878KUvzc = eKK64ZVwRb21(estimator=GDZi5OTNos9m, problem=sO7e1A_Mor6Q, hparams=n4ljua2gi1Pr)
lmmxrQUdkewH += BeAyCOlpGTfm.T2TModel.get_train_hooks(yJFe33rl9i_r, G1We878KUvzc)
PvFTR40MqcLj += BeAyCOlpGTfm.T2TModel.get_eval_hooks(yJFe33rl9i_r, G1We878KUvzc)
if r2gZJX6KH8pr:
lmmxrQUdkewH += r2gZJX6KH8pr
if T__o_V4DFC9g:
PvFTR40MqcLj += T__o_V4DFC9g
lmmxrQUdkewH = IDJ2eXGCBCDu.contrib.learn.monitors.replace_monitors_with_hooks(lmmxrQUdkewH, GDZi5OTNos9m)
PvFTR40MqcLj = IDJ2eXGCBCDu.contrib.learn.monitors.replace_monitors_with_hooks(PvFTR40MqcLj, GDZi5OTNos9m)
_1_RRkHSoLkg = IDJ2eXGCBCDu.estimator.TrainSpec(TBP09JdcUsGY, max_steps=daYMko0joBwR, hooks=lmmxrQUdkewH)
xnQ7L8eGhg7A = IDJ2eXGCBCDu.estimator.EvalSpec(PrbJ_PjvSczj, steps=K3bHLghgmarn, hooks=PvFTR40MqcLj, start_delay_secs=ehT0Px3KOsy9(chr(48) + chr(111) + chr(48), 8) if n4ljua2gi1Pr.schedule == xafqLlk3kkUe(SXOLrMavuUCe(b'C0\xef\x1d\xe5\x94\x92\x98'), '\x64' + chr(101) + '\x63' + chr(111) + chr(0b1100100) + '\145')('\x75' + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b111000)) else ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\067' + chr(48), 8), throttle_secs=wL7GC0rOKmyQ, exporters=JlPWe5_dqyKi)
return vWWdifeBtZ1E(GDZi5OTNos9m, n4ljua2gi1Pr, _1_RRkHSoLkg, xnQ7L8eGhg7A, D3mxBLLtx1ll, LrQSWg3uwmK8)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
create_experiment_fn
|
def create_experiment_fn(*args, **kwargs):
"""Wrapper for canonical experiment_fn. See create_experiment."""
def experiment_fn(run_config, hparams):
return create_experiment(run_config, hparams, *args, **kwargs)
return experiment_fn
|
python
|
def create_experiment_fn(*args, **kwargs):
"""Wrapper for canonical experiment_fn. See create_experiment."""
def experiment_fn(run_config, hparams):
return create_experiment(run_config, hparams, *args, **kwargs)
return experiment_fn
|
[
"def",
"create_experiment_fn",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"def",
"experiment_fn",
"(",
"run_config",
",",
"hparams",
")",
":",
"return",
"create_experiment",
"(",
"run_config",
",",
"hparams",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
"return",
"experiment_fn"
] |
Wrapper for canonical experiment_fn. See create_experiment.
|
[
"Wrapper",
"for",
"canonical",
"experiment_fn",
".",
"See",
"create_experiment",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L770-L776
|
train
|
Wrapper for canonical experiment_fn. See create_experiment.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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) + '\067' + chr(1153 - 1099), 62151 - 62143), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(51) + '\064' + chr(817 - 764), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(600 - 550) + '\061' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b11000 + 0o31) + chr(370 - 315), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1401 - 1290) + '\061' + chr(1682 - 1634), 8453 - 8445), ehT0Px3KOsy9(chr(1627 - 1579) + chr(3084 - 2973) + '\x32' + '\x31', 0b1000), ehT0Px3KOsy9(chr(1101 - 1053) + chr(1193 - 1082) + chr(2111 - 2061) + chr(50) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(191 - 142) + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(0b110101) + chr(50), 43519 - 43511), ehT0Px3KOsy9('\060' + chr(3397 - 3286) + chr(0b10010 + 0o40) + '\x33' + '\x36', 0b1000), ehT0Px3KOsy9(chr(1216 - 1168) + chr(0b1101111) + '\x33' + chr(0b110100) + chr(0b110110), 16729 - 16721), ehT0Px3KOsy9(chr(48) + chr(10702 - 10591) + '\063' + chr(50) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100010 + 0o15) + chr(50) + chr(50) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(54) + chr(1076 - 1025), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x34' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(7368 - 7257) + chr(159 - 109) + chr(0b110101) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1 + 0o60) + chr(0b10011 + 0o35) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x31' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(6800 - 6689) + chr(49) + chr(0b110000 + 0o4) + chr(1870 - 1822), 31054 - 31046), ehT0Px3KOsy9('\x30' + chr(11709 - 11598) + chr(49) + chr(0b10101 + 0o36) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b11011 + 0o33) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b1111 + 0o50) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(1841 - 1730) + chr(51) + '\067' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1577 - 1527) + '\063' + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(357 - 302) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b110000) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101101 + 0o5) + '\x33' + chr(0b110011), 52415 - 52407), ehT0Px3KOsy9(chr(0b110000) + chr(6265 - 6154) + '\x31' + chr(0b110100) + chr(0b110000 + 0o4), 22018 - 22010), ehT0Px3KOsy9(chr(859 - 811) + chr(111) + chr(0b111 + 0o52) + '\x34' + chr(0b1110 + 0o45), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100011 + 0o17) + '\x36' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000 + 0o147) + chr(0b11 + 0o56) + chr(2221 - 2170) + chr(55), 0o10), ehT0Px3KOsy9(chr(795 - 747) + chr(9682 - 9571) + chr(49) + chr(0b10001 + 0o43), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b11100 + 0o33) + chr(0b10101 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b111010 + 0o65) + chr(0b110011) + chr(0b101101 + 0o3) + chr(0b110000 + 0o2), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\x36' + chr(0b101100 + 0o12), 60828 - 60820), ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + '\065' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(1144 - 1096) + '\x6f' + chr(51) + chr(822 - 769) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100011 + 0o17) + chr(1057 - 1003) + chr(52), 0o10), ehT0Px3KOsy9(chr(1517 - 1469) + '\157' + chr(0b110010) + '\061' + chr(49), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1633 - 1585) + '\157' + '\x35' + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'P'), chr(100) + chr(5831 - 5730) + chr(8052 - 7953) + chr(111) + chr(100) + '\145')(chr(9286 - 9169) + '\164' + chr(6280 - 6178) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zmPd6bi8P3V0(*kJDRfRhcZHjS, **M8EIoTs2GJXE):
def YchY3BU40CTh(XwFhQmkvbPWZ, n4ljua2gi1Pr):
return X0eW2bwav1V_(XwFhQmkvbPWZ, n4ljua2gi1Pr, *kJDRfRhcZHjS, **M8EIoTs2GJXE)
return YchY3BU40CTh
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
restore_checkpoint
|
def restore_checkpoint(ckpt_dir, saver, sess, must_restore=False):
"""Restore from a checkpoint."""
ckpt = tf.train.get_checkpoint_state(ckpt_dir)
if must_restore and not ckpt:
raise ValueError("No checkpoint found in %s" % ckpt_dir)
if not ckpt:
return 0
path = ckpt.model_checkpoint_path
tf.logging.info("Restoring checkpoint %s", path)
saver.restore(sess, path)
step = int(path.split("-")[-1])
return step
|
python
|
def restore_checkpoint(ckpt_dir, saver, sess, must_restore=False):
"""Restore from a checkpoint."""
ckpt = tf.train.get_checkpoint_state(ckpt_dir)
if must_restore and not ckpt:
raise ValueError("No checkpoint found in %s" % ckpt_dir)
if not ckpt:
return 0
path = ckpt.model_checkpoint_path
tf.logging.info("Restoring checkpoint %s", path)
saver.restore(sess, path)
step = int(path.split("-")[-1])
return step
|
[
"def",
"restore_checkpoint",
"(",
"ckpt_dir",
",",
"saver",
",",
"sess",
",",
"must_restore",
"=",
"False",
")",
":",
"ckpt",
"=",
"tf",
".",
"train",
".",
"get_checkpoint_state",
"(",
"ckpt_dir",
")",
"if",
"must_restore",
"and",
"not",
"ckpt",
":",
"raise",
"ValueError",
"(",
"\"No checkpoint found in %s\"",
"%",
"ckpt_dir",
")",
"if",
"not",
"ckpt",
":",
"return",
"0",
"path",
"=",
"ckpt",
".",
"model_checkpoint_path",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Restoring checkpoint %s\"",
",",
"path",
")",
"saver",
".",
"restore",
"(",
"sess",
",",
"path",
")",
"step",
"=",
"int",
"(",
"path",
".",
"split",
"(",
"\"-\"",
")",
"[",
"-",
"1",
"]",
")",
"return",
"step"
] |
Restore from a checkpoint.
|
[
"Restore",
"from",
"a",
"checkpoint",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L785-L797
|
train
|
Restore from a checkpoint.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(481 - 370) + chr(51) + chr(0b110011) + chr(1152 - 1103), 33625 - 33617), ehT0Px3KOsy9(chr(1602 - 1554) + chr(0b11110 + 0o121) + chr(0b110010) + chr(633 - 581) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011111 + 0o20) + chr(0b110001) + '\061' + chr(48), 38997 - 38989), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b100 + 0o63) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6600 - 6489) + chr(0b110001) + chr(666 - 612) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + '\x32' + chr(0b10010 + 0o41), 33549 - 33541), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(53) + chr(1177 - 1126), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(1743 - 1688) + chr(608 - 553), 54371 - 54363), ehT0Px3KOsy9(chr(0b110000) + chr(6371 - 6260) + chr(624 - 574) + '\062' + chr(0b10010 + 0o37), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + '\x31' + '\063' + chr(0b11111 + 0o25), 51238 - 51230), ehT0Px3KOsy9(chr(1259 - 1211) + '\x6f' + '\x31' + chr(1716 - 1663) + chr(52), 29193 - 29185), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b110110) + chr(0b101011 + 0o11), 62273 - 62265), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\x32' + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + '\062' + chr(0b10100 + 0o34) + '\x30', 28562 - 28554), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(2536 - 2484) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7108 - 6997) + chr(858 - 807) + chr(0b100011 + 0o23) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\x31' + '\x34' + chr(143 - 93), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5350 - 5239) + '\067' + chr(0b100000 + 0o21), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(2271 - 2219) + '\x35', 65267 - 65259), ehT0Px3KOsy9(chr(913 - 865) + '\157' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(491 - 380) + chr(0b101111 + 0o3) + chr(48) + chr(589 - 538), 30957 - 30949), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\062' + chr(199 - 148), 53217 - 53209), ehT0Px3KOsy9(chr(1120 - 1072) + chr(0b1101111 + 0o0) + chr(2375 - 2325) + '\x35' + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(5670 - 5559) + chr(0b110011) + '\064' + chr(2207 - 2158), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(50) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1383 - 1335) + '\157' + chr(49) + chr(53) + chr(50), 0o10), ehT0Px3KOsy9(chr(450 - 402) + chr(7328 - 7217) + '\x33' + chr(0b101100 + 0o5) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\063' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6352 - 6241) + '\x37' + chr(1602 - 1552), 34531 - 34523), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(55) + chr(1219 - 1165), 41132 - 41124), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\x31' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11101 + 0o122) + chr(0b101101 + 0o6) + chr(1777 - 1729) + '\x36', 10556 - 10548), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(52) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + chr(2580 - 2529) + chr(0b1101 + 0o44) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b110011) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(0b110010) + '\067' + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2357 - 2303) + chr(847 - 799), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + '\067' + chr(127 - 78), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1637 - 1589) + chr(4626 - 4515) + '\065' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7'), chr(0b1001010 + 0o32) + chr(101) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(6923 - 6822))('\165' + chr(11019 - 10903) + chr(9975 - 9873) + '\055' + chr(0b100100 + 0o24)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZFf21s8bRjdm(kA2xB2avuF5G, nbAEz8Euou1e, HVWCHjSQ2I35, n6MtV4y2j2qF=ehT0Px3KOsy9(chr(2023 - 1975) + chr(11774 - 11663) + '\060', 0b1000)):
NjM4QqAJGres = IDJ2eXGCBCDu.train.get_checkpoint_state(kA2xB2avuF5G)
if n6MtV4y2j2qF and (not NjM4QqAJGres):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\xceh\x1c\x18v\x08\x94\xe13\x05\x9a\xa3\xa0\x81\x9a\x17Wu7Lk\xa3v\xdc'), chr(0b101100 + 0o70) + chr(7346 - 7245) + chr(0b1100011) + '\157' + chr(0b0 + 0o144) + '\x65')(chr(0b1110101) + chr(0b100110 + 0o116) + chr(0b1100 + 0o132) + chr(45) + chr(0b110010 + 0o6)) % kA2xB2avuF5G)
if not NjM4QqAJGres:
return ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + chr(148 - 100), 8)
EaCjyhZptSer = NjM4QqAJGres.model_checkpoint_path
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x96\x00\x07\x05p\x0c\xc8\xfb06\x9f'), chr(100) + chr(6051 - 5950) + '\x63' + chr(111) + chr(100) + chr(0b10001 + 0o124))(chr(4602 - 4485) + chr(193 - 77) + '\x66' + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\xc4;\x0b\x1fa\x02\x91\xf6|\x0f\x9c\xb2\xe3\x8c\x85\rP\x7fc\x05 \xf0'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b111110 + 0o61) + '\x64' + '\x65')(chr(0b1011111 + 0o26) + chr(116) + chr(102) + chr(45) + chr(0b111000)), EaCjyhZptSer)
xafqLlk3kkUe(nbAEz8Euou1e, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xc4;\x0b\x1fa\x0e'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(11098 - 10987) + chr(1046 - 946) + chr(6059 - 5958))('\165' + '\x74' + chr(102) + chr(45) + chr(0b111000)))(HVWCHjSQ2I35, EaCjyhZptSer)
kDuFsAhEatcU = ehT0Px3KOsy9(EaCjyhZptSer.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4'), '\x64' + chr(0b1100101) + '\143' + '\x6f' + chr(6483 - 6383) + chr(7463 - 7362))(chr(0b1111 + 0o146) + chr(1611 - 1495) + chr(102) + chr(0b101101) + chr(0b111000)))[-ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001), 21649 - 21641)])
return kDuFsAhEatcU
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
T2TExperiment.train_eval_and_decode
|
def train_eval_and_decode(self):
"""Does eval and decode after training every eval_freq_in_steps."""
eval_steps = self._hparams.eval_freq_in_steps
packed_dataset = "_packed" in self._hparams.problem.name
mlperf_log.transformer_print(key=mlperf_log.TRAIN_LOOP)
for i in range(0, self._train_spec.max_steps, eval_steps):
mlperf_log.transformer_print(
key=mlperf_log.TRAIN_EPOCH, value=i // eval_steps)
if packed_dataset and i > 0:
problem = registry.problem(self._hparams.problem.name + "_packed")
p_hparams = problem.get_hparams(self._hparams)
self._hparams.problem = problem
self._hparams.problem_hparams = p_hparams
self._estimator.train(
self._train_spec.input_fn,
steps=eval_steps,
hooks=self._train_spec.hooks)
self._set_eval_dir_name("eval")
self._estimator.evaluate(
self._eval_spec.input_fn,
steps=self._eval_spec.steps,
hooks=self._eval_spec.hooks,
name="eval")
if packed_dataset:
problem = registry.problem(
self._hparams.problem.name.replace("_packed", ""))
p_hparams = problem.get_hparams(self._hparams)
self._hparams.problem = problem
self._hparams.problem_hparams = p_hparams
mlperf_log.transformer_print(key=mlperf_log.EVAL_START)
if self._hparams.mlperf_mode:
self._decode_hparams.mlperf_decode_step = i + eval_steps
self.decode(dataset_split=tf.estimator.ModeKeys.EVAL)
d_hparams = self._decode_hparams
if self._hparams.mlperf_mode and d_hparams.mlperf_success:
mlperf_log.transformer_print(
key=mlperf_log.RUN_STOP, value={"success": "true"})
break
d_hparams = self._decode_hparams
if self._hparams.mlperf_mode and not d_hparams.mlperf_success:
mlperf_log.transformer_print(
key=mlperf_log.RUN_STOP, value={"success": "false"})
|
python
|
def train_eval_and_decode(self):
"""Does eval and decode after training every eval_freq_in_steps."""
eval_steps = self._hparams.eval_freq_in_steps
packed_dataset = "_packed" in self._hparams.problem.name
mlperf_log.transformer_print(key=mlperf_log.TRAIN_LOOP)
for i in range(0, self._train_spec.max_steps, eval_steps):
mlperf_log.transformer_print(
key=mlperf_log.TRAIN_EPOCH, value=i // eval_steps)
if packed_dataset and i > 0:
problem = registry.problem(self._hparams.problem.name + "_packed")
p_hparams = problem.get_hparams(self._hparams)
self._hparams.problem = problem
self._hparams.problem_hparams = p_hparams
self._estimator.train(
self._train_spec.input_fn,
steps=eval_steps,
hooks=self._train_spec.hooks)
self._set_eval_dir_name("eval")
self._estimator.evaluate(
self._eval_spec.input_fn,
steps=self._eval_spec.steps,
hooks=self._eval_spec.hooks,
name="eval")
if packed_dataset:
problem = registry.problem(
self._hparams.problem.name.replace("_packed", ""))
p_hparams = problem.get_hparams(self._hparams)
self._hparams.problem = problem
self._hparams.problem_hparams = p_hparams
mlperf_log.transformer_print(key=mlperf_log.EVAL_START)
if self._hparams.mlperf_mode:
self._decode_hparams.mlperf_decode_step = i + eval_steps
self.decode(dataset_split=tf.estimator.ModeKeys.EVAL)
d_hparams = self._decode_hparams
if self._hparams.mlperf_mode and d_hparams.mlperf_success:
mlperf_log.transformer_print(
key=mlperf_log.RUN_STOP, value={"success": "true"})
break
d_hparams = self._decode_hparams
if self._hparams.mlperf_mode and not d_hparams.mlperf_success:
mlperf_log.transformer_print(
key=mlperf_log.RUN_STOP, value={"success": "false"})
|
[
"def",
"train_eval_and_decode",
"(",
"self",
")",
":",
"eval_steps",
"=",
"self",
".",
"_hparams",
".",
"eval_freq_in_steps",
"packed_dataset",
"=",
"\"_packed\"",
"in",
"self",
".",
"_hparams",
".",
"problem",
".",
"name",
"mlperf_log",
".",
"transformer_print",
"(",
"key",
"=",
"mlperf_log",
".",
"TRAIN_LOOP",
")",
"for",
"i",
"in",
"range",
"(",
"0",
",",
"self",
".",
"_train_spec",
".",
"max_steps",
",",
"eval_steps",
")",
":",
"mlperf_log",
".",
"transformer_print",
"(",
"key",
"=",
"mlperf_log",
".",
"TRAIN_EPOCH",
",",
"value",
"=",
"i",
"//",
"eval_steps",
")",
"if",
"packed_dataset",
"and",
"i",
">",
"0",
":",
"problem",
"=",
"registry",
".",
"problem",
"(",
"self",
".",
"_hparams",
".",
"problem",
".",
"name",
"+",
"\"_packed\"",
")",
"p_hparams",
"=",
"problem",
".",
"get_hparams",
"(",
"self",
".",
"_hparams",
")",
"self",
".",
"_hparams",
".",
"problem",
"=",
"problem",
"self",
".",
"_hparams",
".",
"problem_hparams",
"=",
"p_hparams",
"self",
".",
"_estimator",
".",
"train",
"(",
"self",
".",
"_train_spec",
".",
"input_fn",
",",
"steps",
"=",
"eval_steps",
",",
"hooks",
"=",
"self",
".",
"_train_spec",
".",
"hooks",
")",
"self",
".",
"_set_eval_dir_name",
"(",
"\"eval\"",
")",
"self",
".",
"_estimator",
".",
"evaluate",
"(",
"self",
".",
"_eval_spec",
".",
"input_fn",
",",
"steps",
"=",
"self",
".",
"_eval_spec",
".",
"steps",
",",
"hooks",
"=",
"self",
".",
"_eval_spec",
".",
"hooks",
",",
"name",
"=",
"\"eval\"",
")",
"if",
"packed_dataset",
":",
"problem",
"=",
"registry",
".",
"problem",
"(",
"self",
".",
"_hparams",
".",
"problem",
".",
"name",
".",
"replace",
"(",
"\"_packed\"",
",",
"\"\"",
")",
")",
"p_hparams",
"=",
"problem",
".",
"get_hparams",
"(",
"self",
".",
"_hparams",
")",
"self",
".",
"_hparams",
".",
"problem",
"=",
"problem",
"self",
".",
"_hparams",
".",
"problem_hparams",
"=",
"p_hparams",
"mlperf_log",
".",
"transformer_print",
"(",
"key",
"=",
"mlperf_log",
".",
"EVAL_START",
")",
"if",
"self",
".",
"_hparams",
".",
"mlperf_mode",
":",
"self",
".",
"_decode_hparams",
".",
"mlperf_decode_step",
"=",
"i",
"+",
"eval_steps",
"self",
".",
"decode",
"(",
"dataset_split",
"=",
"tf",
".",
"estimator",
".",
"ModeKeys",
".",
"EVAL",
")",
"d_hparams",
"=",
"self",
".",
"_decode_hparams",
"if",
"self",
".",
"_hparams",
".",
"mlperf_mode",
"and",
"d_hparams",
".",
"mlperf_success",
":",
"mlperf_log",
".",
"transformer_print",
"(",
"key",
"=",
"mlperf_log",
".",
"RUN_STOP",
",",
"value",
"=",
"{",
"\"success\"",
":",
"\"true\"",
"}",
")",
"break",
"d_hparams",
"=",
"self",
".",
"_decode_hparams",
"if",
"self",
".",
"_hparams",
".",
"mlperf_mode",
"and",
"not",
"d_hparams",
".",
"mlperf_success",
":",
"mlperf_log",
".",
"transformer_print",
"(",
"key",
"=",
"mlperf_log",
".",
"RUN_STOP",
",",
"value",
"=",
"{",
"\"success\"",
":",
"\"false\"",
"}",
")"
] |
Does eval and decode after training every eval_freq_in_steps.
|
[
"Does",
"eval",
"and",
"decode",
"after",
"training",
"every",
"eval_freq_in_steps",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L419-L461
|
train
|
Does eval and decode after training every eval_freq_in_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(chr(1103 - 1055) + chr(12026 - 11915) + '\061' + chr(0b10110 + 0o34) + chr(0b11100 + 0o25), 22623 - 22615), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1101 + 0o45) + chr(738 - 684) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(52) + '\x34', 0o10), ehT0Px3KOsy9(chr(883 - 835) + chr(111) + '\062' + '\064' + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2108 - 2057) + chr(0b101001 + 0o12) + '\067', 30630 - 30622), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b10111 + 0o130) + chr(0b10010 + 0o37) + chr(0b10010 + 0o36) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11111 + 0o120) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110100), 47744 - 47736), ehT0Px3KOsy9(chr(267 - 219) + chr(4390 - 4279) + chr(0b110001) + chr(0b101100 + 0o6), 12383 - 12375), ehT0Px3KOsy9(chr(482 - 434) + chr(0b110010 + 0o75) + chr(54) + '\065', 64352 - 64344), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b110101) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(7440 - 7329) + chr(1724 - 1674) + '\062' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(187 - 136) + chr(0b110110) + chr(484 - 431), 15264 - 15256), ehT0Px3KOsy9('\060' + '\x6f' + chr(140 - 91) + chr(2109 - 2060) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b110101) + chr(49), 21063 - 21055), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(857 - 806) + '\x34' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b110010) + '\x36' + chr(2299 - 2247), 0b1000), ehT0Px3KOsy9(chr(2117 - 2069) + chr(0b1010101 + 0o32) + chr(51) + '\065' + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b111001 + 0o66) + chr(0b10010 + 0o41) + chr(0b110100) + '\x30', 8), ehT0Px3KOsy9(chr(901 - 853) + chr(0b0 + 0o157) + chr(0b110110) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b1000 + 0o50) + chr(0b100001 + 0o17), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b0 + 0o65), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\067' + chr(0b110101), 22932 - 22924), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(2181 - 2131) + chr(52) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1110 + 0o43) + '\x36' + '\060', 0o10), ehT0Px3KOsy9(chr(329 - 281) + chr(4480 - 4369) + chr(0b100101 + 0o20) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(2140 - 2092) + '\x6f' + chr(0b110010) + chr(0b10111 + 0o35) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001 + 0o1) + '\x33', 0o10), ehT0Px3KOsy9(chr(1818 - 1770) + chr(0b1101111) + chr(378 - 327) + '\063' + chr(0b10 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(1227 - 1179) + '\157' + '\x31' + chr(471 - 422) + chr(0b110111), 48833 - 48825), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(50) + chr(0b110101) + chr(920 - 867), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b0 + 0o61) + chr(55) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(283 - 235) + chr(0b11000 + 0o127) + '\x33' + chr(55) + chr(52), 20846 - 20838), ehT0Px3KOsy9(chr(2289 - 2241) + '\x6f' + chr(2611 - 2557), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111000 + 0o67) + chr(230 - 178) + chr(1441 - 1392), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(271 - 216) + chr(0b110001 + 0o5), 23002 - 22994), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\x35' + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(49) + '\060', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + '\062' + chr(48) + chr(0b11110 + 0o24), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\064', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1719 - 1671) + chr(0b11011 + 0o124) + chr(53) + chr(48), 24828 - 24820)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f'), '\144' + chr(9024 - 8923) + chr(0b1100011) + '\157' + chr(2944 - 2844) + chr(0b1100101))(chr(0b11011 + 0o132) + chr(0b1110100) + chr(102) + chr(0b11100 + 0o21) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WLVyDnkvr6Tc(oVre8I6UXc3b):
K3bHLghgmarn = oVre8I6UXc3b._hparams.eval_freq_in_steps
X5eL6TkEDnNw = xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xc3\xc5\xc7\xb4&c'), chr(100) + chr(101) + chr(9033 - 8934) + '\157' + chr(0b1001100 + 0o30) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b110111 + 0o57) + '\055' + chr(0b100000 + 0o30)) in oVre8I6UXc3b._hparams.problem.AIvJRzLdDfgF
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xc1\xc5\xca\xac%hvgP\x9a\xcf\x85;\x80\x8e\xc0'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(4992 - 4881) + chr(0b111110 + 0o46) + chr(0b1100101))(chr(0b1110101) + chr(0b1101010 + 0o12) + '\x66' + '\055' + chr(56)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xe1\xe5\xed\x91\x1cKKEe'), chr(0b1100100) + chr(0b111010 + 0o53) + chr(99) + '\157' + '\144' + chr(0b1100101))(chr(0b110001 + 0o104) + '\x74' + '\x66' + chr(0b101101) + '\070')))
for WVxHKyX45z_L in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(48) + chr(0b10000 + 0o137) + '\x30', ord("\x08")), xafqLlk3kkUe(oVre8I6UXc3b._train_spec, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xd2\xdc\xfb\xac7bty'), '\x64' + '\x65' + chr(8435 - 8336) + chr(0b10111 + 0o130) + chr(100) + '\x65')(chr(0b1110 + 0o147) + chr(8658 - 8542) + '\x66' + chr(0b101101) + chr(56))), K3bHLghgmarn):
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xc1\xc5\xca\xac%hvgP\x9a\xcf\x85;\x80\x8e\xc0'), chr(0b11001 + 0o113) + chr(0b1000111 + 0o36) + '\143' + '\x6f' + chr(100) + '\145')('\x75' + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\070'))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xe1\xe5\xed\x91\x1cBTEv\xa0'), chr(0b1100100) + chr(0b1100011 + 0o2) + chr(0b110011 + 0o60) + chr(0b1001010 + 0o45) + chr(100) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(45) + '\070')), value=WVxHKyX45z_L // K3bHLghgmarn)
if X5eL6TkEDnNw and WVxHKyX45z_L > ehT0Px3KOsy9(chr(2034 - 1986) + '\x6f' + chr(1646 - 1598), 8):
sO7e1A_Mor6Q = U24OBsRcVqkJ.sO7e1A_Mor6Q(oVre8I6UXc3b._hparams.problem.AIvJRzLdDfgF + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xc3\xc5\xc7\xb4&c'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\157' + '\144' + '\x65')(chr(0b1100100 + 0o21) + '\x74' + chr(0b110110 + 0o60) + chr(1678 - 1633) + chr(2529 - 2473)))
bb9KhnGWdDAt = sO7e1A_Mor6Q.get_hparams(oVre8I6UXc3b.nPO5Cxv_RSQQ)
oVre8I6UXc3b._hparams.sO7e1A_Mor6Q = sO7e1A_Mor6Q
oVre8I6UXc3b._hparams.sXqesioLf7Ji = bb9KhnGWdDAt
xafqLlk3kkUe(oVre8I6UXc3b._estimator, xafqLlk3kkUe(SXOLrMavuUCe(b'4\x8b\x94\xc3\x8d*hG`Q\x89\xe4'), chr(0b1011001 + 0o13) + chr(0b110010 + 0o63) + chr(0b1010011 + 0o20) + '\157' + '\x64' + chr(0b1100101))(chr(117) + chr(7305 - 7189) + chr(4039 - 3937) + '\055' + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b._train_spec, xafqLlk3kkUe(SXOLrMavuUCe(b'8\xdd\xd4\xd1\xab\x1caj'), '\144' + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(100) + '\145')('\165' + '\x74' + chr(988 - 886) + chr(0b101101) + '\x38')), steps=K3bHLghgmarn, hooks=xafqLlk3kkUe(oVre8I6UXc3b._train_spec, xafqLlk3kkUe(SXOLrMavuUCe(b'#\xcb\xf3\x95\x80-ts2@\xd1\xdc'), chr(0b11000 + 0o114) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\x65')('\x75' + chr(0b111 + 0o155) + '\146' + '\055' + '\x38')))
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xc0\xc1\xd0\x80&qefj\x8c\xf9\x87\x16\x87\x81\xd9\x8c'), '\144' + chr(101) + chr(4180 - 4081) + chr(111) + chr(3893 - 3793) + chr(101))('\165' + chr(0b1110100) + chr(0b1000011 + 0o43) + chr(687 - 642) + chr(2965 - 2909)))(xafqLlk3kkUe(SXOLrMavuUCe(b'4\xc5\xc5\xc8'), '\144' + chr(0b101111 + 0o66) + chr(0b1100011) + '\157' + '\x64' + chr(0b1010011 + 0o22))('\x75' + chr(0b1110100) + chr(1111 - 1009) + '\055' + chr(56)))
xafqLlk3kkUe(oVre8I6UXc3b._estimator, xafqLlk3kkUe(SXOLrMavuUCe(b'4\xc5\xc5\xc8\xaa"sa'), '\x64' + chr(0b1100101) + chr(0b10100 + 0o117) + '\157' + chr(0b1100100) + '\x65')('\165' + chr(12834 - 12718) + '\146' + chr(45) + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b._eval_spec, xafqLlk3kkUe(SXOLrMavuUCe(b'8\xdd\xd4\xd1\xab\x1caj'), chr(100) + chr(0b1110 + 0o127) + chr(750 - 651) + chr(726 - 615) + chr(2002 - 1902) + chr(2053 - 1952))(chr(0b1110101) + '\164' + '\146' + chr(45) + chr(0b111000))), steps=xafqLlk3kkUe(oVre8I6UXc3b._eval_spec, xafqLlk3kkUe(SXOLrMavuUCe(b'"\xc7\xc1\xd4\xac'), chr(7732 - 7632) + '\145' + '\143' + chr(3600 - 3489) + '\x64' + '\x65')(chr(117) + chr(116) + '\146' + '\055' + '\070')), hooks=xafqLlk3kkUe(oVre8I6UXc3b._eval_spec, xafqLlk3kkUe(SXOLrMavuUCe(b'#\xcb\xf3\x95\x80-ts2@\xd1\xdc'), chr(5123 - 5023) + chr(0b111001 + 0o54) + chr(0b11111 + 0o104) + chr(111) + '\x64' + chr(101))('\x75' + chr(0b1110011 + 0o1) + chr(0b1100110) + '\x2d' + '\x38')), name=xafqLlk3kkUe(SXOLrMavuUCe(b'4\xc5\xc5\xc8'), '\144' + chr(6272 - 6171) + chr(5494 - 5395) + '\x6f' + chr(3185 - 3085) + chr(101))(chr(0b1001 + 0o154) + chr(0b1110100) + '\146' + '\x2d' + chr(2654 - 2598)))
if X5eL6TkEDnNw:
sO7e1A_Mor6Q = U24OBsRcVqkJ.sO7e1A_Mor6Q(oVre8I6UXc3b._hparams.problem.name.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xc3\xc5\xc7\xb4&c'), chr(7332 - 7232) + chr(0b1100101) + '\x63' + chr(111) + '\144' + '\145')(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(1021 - 976) + chr(2338 - 2282)), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b111 + 0o135) + chr(0b1100011 + 0o2) + chr(99) + '\157' + chr(0b1101 + 0o127) + '\145')('\165' + chr(0b1101000 + 0o14) + '\x66' + '\x2d' + '\x38')))
bb9KhnGWdDAt = sO7e1A_Mor6Q.get_hparams(oVre8I6UXc3b.nPO5Cxv_RSQQ)
oVre8I6UXc3b._hparams.sO7e1A_Mor6Q = sO7e1A_Mor6Q
oVre8I6UXc3b._hparams.sXqesioLf7Ji = bb9KhnGWdDAt
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xc1\xc5\xca\xac%hvgP\x9a\xcf\x85;\x80\x8e\xc0'), chr(0b11110 + 0o106) + chr(0b1100101) + chr(99) + chr(0b101101 + 0o102) + chr(0b110001 + 0o63) + '\145')('\165' + '\164' + '\x66' + chr(0b101101) + '\x38'))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xe5\xe5\xe8\x80\x10SEXa'), chr(883 - 783) + chr(5029 - 4928) + '\x63' + '\x6f' + chr(9784 - 9684) + chr(101))(chr(2137 - 2020) + chr(116) + chr(0b110111 + 0o57) + chr(0b11100 + 0o21) + chr(0b11 + 0o65))))
if xafqLlk3kkUe(oVre8I6UXc3b._hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdf\xd4\xc1\xad%XieQ\x8d'), chr(0b1011111 + 0o5) + '\x65' + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1001010 + 0o33))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + chr(0b11100 + 0o34))):
oVre8I6UXc3b._decode_hparams.F1BCZIdDM1kJ = WVxHKyX45z_L + K3bHLghgmarn
xafqLlk3kkUe(oVre8I6UXc3b, '\144' + chr(0b111100 + 0o51) + chr(811 - 712) + chr(0b101001 + 0o106) + chr(0b111011 + 0o51) + '\145')(dataset_split=xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xe5\xe5\xe8'), '\144' + chr(101) + chr(99) + '\157' + '\x64' + '\145')(chr(7838 - 7721) + chr(0b1110100) + chr(882 - 780) + '\x2d' + '\070')))
FghHmi0P9H4I = oVre8I6UXc3b.Doynr1RKrgIF
if xafqLlk3kkUe(oVre8I6UXc3b._hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdf\xd4\xc1\xad%XieQ\x8d'), '\144' + chr(0b1100101) + chr(0b111 + 0o134) + chr(0b1101111) + chr(100) + chr(483 - 382))(chr(11518 - 11401) + chr(0b1011001 + 0o33) + '\x66' + chr(45) + chr(56))) and xafqLlk3kkUe(FghHmi0P9H4I, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdf\xd4\xc1\xad%Xw\x7fV\x8b\xf5\x86:'), chr(0b1100100) + chr(7428 - 7327) + chr(4961 - 4862) + chr(734 - 623) + chr(0b1100100) + chr(4447 - 4346))(chr(0b101000 + 0o115) + '\x74' + chr(102) + chr(0b101101) + chr(56))):
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xc1\xc5\xca\xac%hvgP\x9a\xcf\x85;\x80\x8e\xc0'), chr(6507 - 6407) + '\x65' + chr(5611 - 5512) + chr(111) + '\x64' + chr(6087 - 5986))('\165' + chr(0b1110100) + chr(0b111111 + 0o47) + chr(45) + chr(0b11111 + 0o31)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\x03\xe6\xea\xfb\x8c\x17HT'), '\144' + chr(0b1100101) + chr(3669 - 3570) + chr(111) + chr(872 - 772) + chr(0b1100101))(chr(0b1110101) + chr(0b11101 + 0o127) + chr(0b1100110) + chr(45) + '\x38')), value={xafqLlk3kkUe(SXOLrMavuUCe(b'"\xc6\xc7\xc7\xba0t'), chr(0b110 + 0o136) + chr(0b1100010 + 0o3) + chr(0b1100011) + chr(111) + '\x64' + chr(7421 - 7320))('\165' + '\x74' + chr(0b1011011 + 0o13) + chr(0b101101) + chr(1954 - 1898)): xafqLlk3kkUe(SXOLrMavuUCe(b'%\xc1\xd1\xc1'), chr(3251 - 3151) + chr(0b1011011 + 0o12) + chr(0b1100011) + chr(0b101111 + 0o100) + chr(0b1100100) + chr(339 - 238))('\165' + chr(116) + chr(0b10110 + 0o120) + '\x2d' + '\070')})
break
FghHmi0P9H4I = oVre8I6UXc3b.Doynr1RKrgIF
if xafqLlk3kkUe(oVre8I6UXc3b._hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdf\xd4\xc1\xad%XieQ\x8d'), '\144' + chr(7414 - 7313) + '\x63' + chr(0b1010000 + 0o37) + '\144' + chr(101))(chr(0b110 + 0o157) + '\164' + '\x66' + '\x2d' + '\x38')) and (not xafqLlk3kkUe(FghHmi0P9H4I, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdf\xd4\xc1\xad%Xw\x7fV\x8b\xf5\x86:'), chr(0b1010100 + 0o20) + '\145' + chr(0b1100011) + '\x6f' + '\x64' + chr(0b110110 + 0o57))(chr(4222 - 4105) + chr(12527 - 12411) + '\x66' + chr(45) + '\x38'))):
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'%\xc1\xc5\xca\xac%hvgP\x9a\xcf\x85;\x80\x8e\xc0'), chr(0b1100100) + '\145' + '\x63' + chr(0b1010000 + 0o37) + chr(0b1001111 + 0o25) + chr(101))('\x75' + chr(116) + chr(0b1010010 + 0o24) + chr(45) + chr(2628 - 2572)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\x03\xe6\xea\xfb\x8c\x17HT'), '\144' + chr(2508 - 2407) + chr(0b1000 + 0o133) + '\157' + '\x64' + chr(6727 - 6626))(chr(8845 - 8728) + chr(8107 - 7991) + chr(0b1100110) + '\x2d' + chr(56))), value={xafqLlk3kkUe(SXOLrMavuUCe(b'"\xc6\xc7\xc7\xba0t'), '\x64' + chr(0b1100101) + '\x63' + chr(0b1000110 + 0o51) + '\144' + chr(0b100001 + 0o104))(chr(117) + '\x74' + chr(102) + chr(45) + chr(0b11010 + 0o36)): xafqLlk3kkUe(SXOLrMavuUCe(b'7\xd2\xc8\xd7\xba'), '\144' + chr(5260 - 5159) + chr(0b1100011) + '\157' + '\x64' + chr(0b100000 + 0o105))(chr(0b1001100 + 0o51) + chr(792 - 676) + chr(0b1100110) + '\055' + chr(0b111000))})
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
T2TExperiment.continuous_eval
|
def continuous_eval(self):
"""Evaluate until checkpoints stop being produced."""
for ckpt_path in next_checkpoint(self._hparams.model_dir,
self._hparams.eval_timeout_mins):
# Skip zero'th step.
train_step = decoding.get_step_from_ckpt_path(ckpt_path)
if train_step == 0:
tf.logging.info("Skipping evaluation at step 0")
continue
self.evaluate()
|
python
|
def continuous_eval(self):
"""Evaluate until checkpoints stop being produced."""
for ckpt_path in next_checkpoint(self._hparams.model_dir,
self._hparams.eval_timeout_mins):
# Skip zero'th step.
train_step = decoding.get_step_from_ckpt_path(ckpt_path)
if train_step == 0:
tf.logging.info("Skipping evaluation at step 0")
continue
self.evaluate()
|
[
"def",
"continuous_eval",
"(",
"self",
")",
":",
"for",
"ckpt_path",
"in",
"next_checkpoint",
"(",
"self",
".",
"_hparams",
".",
"model_dir",
",",
"self",
".",
"_hparams",
".",
"eval_timeout_mins",
")",
":",
"# Skip zero'th step.",
"train_step",
"=",
"decoding",
".",
"get_step_from_ckpt_path",
"(",
"ckpt_path",
")",
"if",
"train_step",
"==",
"0",
":",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Skipping evaluation at step 0\"",
")",
"continue",
"self",
".",
"evaluate",
"(",
")"
] |
Evaluate until checkpoints stop being produced.
|
[
"Evaluate",
"until",
"checkpoints",
"stop",
"being",
"produced",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L488-L497
|
train
|
Evaluate until checkpoints stop being produced.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(51) + chr(0b110000) + chr(753 - 698), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(1960 - 1908), 1014 - 1006), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\x36' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(9040 - 8929) + chr(0b1001 + 0o50) + chr(0b100010 + 0o25) + chr(54), 5071 - 5063), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(2637 - 2582) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1999 - 1948) + chr(50) + chr(2427 - 2373), 5668 - 5660), ehT0Px3KOsy9(chr(917 - 869) + chr(0b1101111) + chr(0b110011) + chr(0b110010) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10110 + 0o131) + chr(1002 - 953) + chr(0b110001) + '\x36', 51555 - 51547), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100000 + 0o22) + chr(51) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10833 - 10722) + chr(1720 - 1669), 14282 - 14274), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\066' + chr(0b110110), 31547 - 31539), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(2989 - 2878) + '\061' + chr(413 - 359) + chr(0b100 + 0o57), 42285 - 42277), ehT0Px3KOsy9(chr(0b110000) + chr(6577 - 6466) + chr(0b11000 + 0o32) + chr(0b1101 + 0o44) + chr(1298 - 1249), 0b1000), ehT0Px3KOsy9(chr(858 - 810) + chr(0b1101 + 0o142) + '\063' + '\x33' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + '\x31' + '\061' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(4971 - 4860) + chr(0b11011 + 0o27) + chr(0b110000) + chr(219 - 167), ord("\x08")), ehT0Px3KOsy9(chr(1894 - 1846) + chr(0b1101111) + '\x32' + '\x32' + chr(54), 15867 - 15859), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(51) + chr(0b110001) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\067' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(50) + chr(0b101100 + 0o13), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10100 + 0o133) + chr(0b11000 + 0o31) + chr(998 - 950) + '\x33', 0b1000), ehT0Px3KOsy9(chr(219 - 171) + chr(111) + chr(0b101101 + 0o4) + '\x33', 0o10), ehT0Px3KOsy9(chr(1071 - 1023) + chr(0b100111 + 0o110) + chr(0b110010) + '\067' + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b100001 + 0o25) + chr(0b10 + 0o60), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\062' + chr(0b110010), 1989 - 1981), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\064' + '\064', 15992 - 15984), ehT0Px3KOsy9(chr(690 - 642) + chr(0b100111 + 0o110) + chr(51) + '\x36' + chr(591 - 540), 40134 - 40126), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(2578 - 2527) + chr(48), 0o10), ehT0Px3KOsy9(chr(1192 - 1144) + chr(111) + chr(50) + '\x35' + '\x32', 17538 - 17530), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b110 + 0o151) + chr(51) + chr(2288 - 2233) + chr(2259 - 2208), 17380 - 17372), ehT0Px3KOsy9(chr(893 - 845) + chr(0b1101111) + '\x31' + '\x36' + chr(0b110011 + 0o3), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(52) + '\064', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b100101 + 0o15) + chr(1015 - 963), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\065' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b10110 + 0o37) + '\063', 41376 - 41368), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + '\x33' + '\x33' + chr(1309 - 1256), 8), ehT0Px3KOsy9(chr(1805 - 1757) + chr(0b1001111 + 0o40) + chr(50) + chr(0b11001 + 0o33) + chr(53), 2302 - 2294), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\067' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(2303 - 2252) + chr(0b100111 + 0o16), 45760 - 45752), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1001 + 0o52) + chr(576 - 528) + chr(0b110000), 40968 - 40960)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(3370 - 3259) + '\065' + '\x30', 61662 - 61654)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(6910 - 6799) + chr(6252 - 6152) + '\x65')('\165' + chr(116) + '\146' + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ABYJseB8TxPp(oVre8I6UXc3b):
for GWFmOaEx1yQ8 in LpVKbHVStaU3(xafqLlk3kkUe(oVre8I6UXc3b._hparams, xafqLlk3kkUe(SXOLrMavuUCe(b"\xaa{\x92\x1b\x90\x89\xb7'\xe9"), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b111101 + 0o62) + chr(0b1001001 + 0o33) + chr(101))(chr(0b1011110 + 0o27) + chr(0b1010100 + 0o40) + chr(0b1100110) + chr(0b10011 + 0o32) + chr(56))), xafqLlk3kkUe(oVre8I6UXc3b._hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2b\x97\x12\xa3\xa2\xba#\xfel\xc3\x07\xd6\xb0&\xea\xe5'), chr(7300 - 7200) + chr(0b1100101 + 0o0) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(5751 - 5650))('\x75' + '\x74' + chr(355 - 253) + chr(0b101101) + chr(0b111000)))):
Btm0TCB5u0CX = jyVHS0IYLm_8.get_step_from_ckpt_path(GWFmOaEx1yQ8)
if Btm0TCB5u0CX == ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 0o10):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x94#\xbe\x06\x89\xb5\xb4y\xf1o\xec\x18'), chr(9929 - 9829) + chr(0b1001111 + 0o26) + chr(0b1010100 + 0o17) + '\157' + chr(100) + chr(0b11000 + 0o115))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x94\x7f\x9f\x0e\x8c\xbf\xbd)\xbbf\xc0\x12\xe5\xa8.\xf0\xff\xa6P\xb7"\x7f\x9c\x81&A\x83\xf8\x9a'), chr(0b1100100) + chr(0b110000 + 0o65) + '\143' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(8318 - 8201) + chr(5267 - 5151) + chr(0b1100110) + '\x2d' + chr(0b111000)))
continue
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2b\x97\x12\x89\xb7\xa7+'), chr(4076 - 3976) + '\x65' + chr(99) + '\x6f' + chr(4425 - 4325) + chr(0b1100101))(chr(0b1110101) + chr(0b1100110 + 0o16) + chr(3377 - 3275) + chr(0b10001 + 0o34) + '\070'))()
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
T2TExperiment.continuous_eval_on_train_data
|
def continuous_eval_on_train_data(self):
"""Evaluate on train data until checkpoints stop being produced."""
for ckpt_path in next_checkpoint(self._hparams.model_dir,
self._hparams.eval_timeout_mins):
# Skip zero'th step.
train_step = decoding.get_step_from_ckpt_path(ckpt_path)
if train_step == 0:
tf.logging.info("Skipping evaluation at step 0")
continue
self.evaluate_on_train_data()
|
python
|
def continuous_eval_on_train_data(self):
"""Evaluate on train data until checkpoints stop being produced."""
for ckpt_path in next_checkpoint(self._hparams.model_dir,
self._hparams.eval_timeout_mins):
# Skip zero'th step.
train_step = decoding.get_step_from_ckpt_path(ckpt_path)
if train_step == 0:
tf.logging.info("Skipping evaluation at step 0")
continue
self.evaluate_on_train_data()
|
[
"def",
"continuous_eval_on_train_data",
"(",
"self",
")",
":",
"for",
"ckpt_path",
"in",
"next_checkpoint",
"(",
"self",
".",
"_hparams",
".",
"model_dir",
",",
"self",
".",
"_hparams",
".",
"eval_timeout_mins",
")",
":",
"# Skip zero'th step.",
"train_step",
"=",
"decoding",
".",
"get_step_from_ckpt_path",
"(",
"ckpt_path",
")",
"if",
"train_step",
"==",
"0",
":",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Skipping evaluation at step 0\"",
")",
"continue",
"self",
".",
"evaluate_on_train_data",
"(",
")"
] |
Evaluate on train data until checkpoints stop being produced.
|
[
"Evaluate",
"on",
"train",
"data",
"until",
"checkpoints",
"stop",
"being",
"produced",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L499-L508
|
train
|
Evaluate on train data until checkpoints stop being produced.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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) + '\x33' + '\x30' + chr(0b110 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + chr(0b10001 + 0o45) + chr(0b1 + 0o57), 0b1000), ehT0Px3KOsy9(chr(142 - 94) + '\x6f' + chr(0b1 + 0o61) + chr(0b11111 + 0o30) + chr(0b10011 + 0o35), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\x33' + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b1111 + 0o42), 41208 - 41200), ehT0Px3KOsy9(chr(1452 - 1404) + '\x6f' + '\x32' + '\x34' + chr(49), 0o10), ehT0Px3KOsy9(chr(1384 - 1336) + '\x6f' + chr(50) + chr(49), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b110001) + chr(50), 20267 - 20259), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\066' + chr(0b110 + 0o60), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b100100 + 0o113) + '\x33' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + '\x33' + chr(0b110111) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(2078 - 2030) + '\x6f' + '\x33' + chr(0b110 + 0o56) + chr(0b101001 + 0o12), 0o10), ehT0Px3KOsy9(chr(1018 - 970) + chr(111) + '\063' + '\066', 53180 - 53172), ehT0Px3KOsy9('\x30' + chr(0b1000100 + 0o53) + chr(2303 - 2254) + chr(52) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10000 + 0o137) + chr(1671 - 1620) + '\x34' + chr(0b100011 + 0o22), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(48), 0o10), ehT0Px3KOsy9(chr(1900 - 1852) + chr(111) + chr(765 - 715) + chr(0b110111) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110100 + 0o73) + chr(0b110001) + '\065' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(0b110010) + chr(614 - 560), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8763 - 8652) + '\x33' + chr(55) + chr(2285 - 2233), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2091 - 1980) + '\x32' + '\060' + chr(54), 22843 - 22835), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(50) + '\062', 21056 - 21048), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\063' + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(52) + chr(1893 - 1844), ord("\x08")), ehT0Px3KOsy9(chr(280 - 232) + chr(111) + '\x32' + chr(1165 - 1111) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1512 - 1462) + chr(0b110101) + chr(0b1 + 0o57), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b100111 + 0o14), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b0 + 0o62) + chr(52) + chr(0b11010 + 0o30), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1011 + 0o50) + chr(0b110111) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101 + 0o142) + '\062' + chr(0b100 + 0o55) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(407 - 359) + chr(0b1001000 + 0o47) + chr(0b110011) + '\x32' + chr(0b100110 + 0o17), 63878 - 63870), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\067' + chr(2635 - 2581), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10 + 0o57) + '\061' + chr(135 - 86), 3943 - 3935), ehT0Px3KOsy9(chr(1226 - 1178) + chr(111) + chr(51) + chr(0b101 + 0o61) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(10910 - 10799) + chr(0b101101 + 0o5) + '\x30' + chr(50), 0b1000), ehT0Px3KOsy9(chr(1589 - 1541) + chr(111) + chr(51) + chr(55) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x33' + '\064', 56301 - 56293)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b100100 + 0o113) + '\x35' + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xed'), '\x64' + chr(0b1010101 + 0o20) + chr(3581 - 3482) + chr(0b1000110 + 0o51) + '\144' + chr(0b111001 + 0o54))(chr(117) + chr(0b100001 + 0o123) + '\x66' + chr(1360 - 1315) + chr(0b11000 + 0o40)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FE8Ihskozjj1(oVre8I6UXc3b):
for GWFmOaEx1yQ8 in LpVKbHVStaU3(xafqLlk3kkUe(oVre8I6UXc3b._hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\xae_\xdc\xbf}\xfeu\xe3D'), chr(100) + chr(0b1100101) + chr(6501 - 6402) + chr(6053 - 5942) + '\144' + chr(0b110111 + 0o56))('\x75' + '\164' + chr(3650 - 3548) + chr(45) + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b._hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6F\xd9\xb6N\xd5x\xe7Srl\x8e\xbcs\r\x8bs'), '\144' + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b10100 + 0o120) + chr(1578 - 1477))(chr(117) + chr(0b1110100) + chr(5422 - 5320) + '\055' + '\x38'))):
Btm0TCB5u0CX = jyVHS0IYLm_8.get_step_from_ckpt_path(GWFmOaEx1yQ8)
if Btm0TCB5u0CX == ehT0Px3KOsy9(chr(48) + chr(111) + chr(48), 8):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x07\xf0\xa2d\xc2v\xbd\\qC\x91'), chr(3245 - 3145) + chr(0b1100101) + '\143' + chr(0b111000 + 0o67) + '\x64' + chr(0b1100101))(chr(11232 - 11115) + chr(13328 - 13212) + chr(9267 - 9165) + '\055' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90[\xd1\xaaa\xc8\x7f\xed\x16xo\x9b\x8fk\x05\x91i\xd2\x046\x9d\xf2\xf2\xac\x95\xd4\xd83\x92'), chr(2895 - 2795) + '\x65' + '\x63' + chr(0b1101111) + '\x64' + '\145')(chr(2194 - 2077) + chr(0b1110100) + chr(0b1011101 + 0o11) + chr(0b101101) + '\070'))
continue
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6F\xd9\xb6d\xc0e\xefirw\xa5\x97l\x05\x8cn\xe2\x0ew\x88\xe7'), chr(100) + chr(0b1100101) + chr(0b1000001 + 0o42) + '\157' + '\x64' + chr(0b1100101))(chr(168 - 51) + chr(0b1110100) + chr(0b1001111 + 0o27) + '\x2d' + chr(56)))()
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
T2TExperiment.run_std_server
|
def run_std_server(self):
"""Starts a TensorFlow server and joins the serving thread.
Typically used for parameter servers.
Raises:
ValueError: if not enough information is available in the estimator's
config to create a server.
"""
config = tf.estimator.RunConfig()
server = tf.train.Server(
config.cluster_spec,
job_name=config.task_type,
task_index=config.task_id,
protocol=config.protocol)
server.join()
|
python
|
def run_std_server(self):
"""Starts a TensorFlow server and joins the serving thread.
Typically used for parameter servers.
Raises:
ValueError: if not enough information is available in the estimator's
config to create a server.
"""
config = tf.estimator.RunConfig()
server = tf.train.Server(
config.cluster_spec,
job_name=config.task_type,
task_index=config.task_id,
protocol=config.protocol)
server.join()
|
[
"def",
"run_std_server",
"(",
"self",
")",
":",
"config",
"=",
"tf",
".",
"estimator",
".",
"RunConfig",
"(",
")",
"server",
"=",
"tf",
".",
"train",
".",
"Server",
"(",
"config",
".",
"cluster_spec",
",",
"job_name",
"=",
"config",
".",
"task_type",
",",
"task_index",
"=",
"config",
".",
"task_id",
",",
"protocol",
"=",
"config",
".",
"protocol",
")",
"server",
".",
"join",
"(",
")"
] |
Starts a TensorFlow server and joins the serving thread.
Typically used for parameter servers.
Raises:
ValueError: if not enough information is available in the estimator's
config to create a server.
|
[
"Starts",
"a",
"TensorFlow",
"server",
"and",
"joins",
"the",
"serving",
"thread",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L521-L536
|
train
|
Starts a TensorFlow server and joins the serving thread.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(718 - 669) + '\x35' + chr(0b100011 + 0o24), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000100 + 0o53) + chr(49) + chr(669 - 614), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\066' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11110 + 0o31) + chr(1388 - 1339), 0b1000), ehT0Px3KOsy9(chr(820 - 772) + chr(0b1111 + 0o140) + chr(51) + chr(0b110001) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1939 - 1891) + chr(0b1101111) + chr(0b110001) + '\066' + '\x33', 52417 - 52409), ehT0Px3KOsy9(chr(242 - 194) + chr(0b10000 + 0o137) + '\x31' + chr(0b110011) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(54) + '\x36', 58298 - 58290), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(0b100010 + 0o17) + chr(0b110001) + chr(2257 - 2206), 54657 - 54649), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1270 - 1219) + '\x37' + chr(0b100110 + 0o12), 0o10), ehT0Px3KOsy9(chr(48) + chr(11482 - 11371) + chr(0b110001) + '\x30' + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110000 + 0o77) + chr(96 - 45) + chr(53) + chr(0b10011 + 0o35), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2381 - 2330) + '\x31' + chr(2195 - 2145), 39212 - 39204), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(55) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x34' + chr(0b110010), 25294 - 25286), ehT0Px3KOsy9(chr(1666 - 1618) + chr(0b1101111) + chr(2100 - 2046) + '\x31', 16443 - 16435), ehT0Px3KOsy9(chr(264 - 216) + '\x6f' + '\x33' + '\x31' + chr(0b1101 + 0o44), 0o10), ehT0Px3KOsy9('\060' + chr(9144 - 9033) + chr(2413 - 2362) + chr(53) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + '\063' + chr(1016 - 967) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\063' + chr(1809 - 1758), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10659 - 10548) + chr(0b110011) + '\065' + '\x34', 18962 - 18954), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(0b110011) + chr(0b110011) + chr(2482 - 2427), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9622 - 9511) + chr(0b110010) + chr(49) + chr(500 - 452), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b101001 + 0o13) + '\062', 52245 - 52237), ehT0Px3KOsy9('\x30' + chr(111) + chr(2358 - 2309) + '\060' + chr(0b101011 + 0o11), 59566 - 59558), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100 + 0o61) + '\x34', 1664 - 1656), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(0b101111 + 0o4) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x36' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101101 + 0o2) + chr(1529 - 1479) + '\x37' + chr(0b110011 + 0o4), 0b1000), ehT0Px3KOsy9(chr(1536 - 1488) + chr(0b1101111) + chr(0b110010) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\x32' + chr(0b110011) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(703 - 652) + chr(2512 - 2459), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + '\061' + chr(1913 - 1860) + '\062', 0o10), ehT0Px3KOsy9(chr(1627 - 1579) + chr(0b1101111) + '\x33' + chr(0b110011) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1477 - 1429) + '\157' + chr(0b110010) + chr(55) + chr(0b101010 + 0o6), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\067', 61328 - 61320), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b1011 + 0o50) + chr(678 - 630) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(174 - 126) + chr(111) + chr(0b110011) + chr(1519 - 1467), 8), ehT0Px3KOsy9(chr(494 - 446) + '\157' + '\065' + chr(0b11110 + 0o30), 21388 - 21380), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b100010 + 0o115) + chr(848 - 797) + chr(1594 - 1542) + chr(0b11000 + 0o36), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + '\x35' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'A'), chr(100) + '\x65' + chr(4481 - 4382) + '\157' + chr(872 - 772) + chr(1370 - 1269))(chr(8296 - 8179) + '\x74' + '\146' + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def AINYZCnuoUU3(oVre8I6UXc3b):
jAj7S20Ct06o = IDJ2eXGCBCDu.estimator.RunConfig()
Ut41WBgpnv2R = IDJ2eXGCBCDu.train.Server(jAj7S20Ct06o.cluster_spec, job_name=jAj7S20Ct06o.task_type, task_index=jAj7S20Ct06o.task_id, protocol=jAj7S20Ct06o.protocol)
xafqLlk3kkUe(Ut41WBgpnv2R, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05`\xd9W'), chr(100) + chr(101) + chr(0b1100011) + chr(0b110001 + 0o76) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + chr(0b1000101 + 0o41) + chr(45) + chr(0b1010 + 0o56)))()
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
T2TExperiment.decode
|
def decode(self,
dataset_split=None,
decode_from_file=False,
checkpoint_path=None):
"""Decodes from dataset or file."""
if decode_from_file:
decoding.decode_from_file(self._estimator,
self._decode_hparams.decode_from_file,
self._hparams,
self._decode_hparams,
self._decode_hparams.decode_to_file)
else:
decoding.decode_from_dataset(
self._estimator,
self._hparams.problem.name,
self._hparams,
self._decode_hparams,
dataset_split=dataset_split,
checkpoint_path=checkpoint_path)
|
python
|
def decode(self,
dataset_split=None,
decode_from_file=False,
checkpoint_path=None):
"""Decodes from dataset or file."""
if decode_from_file:
decoding.decode_from_file(self._estimator,
self._decode_hparams.decode_from_file,
self._hparams,
self._decode_hparams,
self._decode_hparams.decode_to_file)
else:
decoding.decode_from_dataset(
self._estimator,
self._hparams.problem.name,
self._hparams,
self._decode_hparams,
dataset_split=dataset_split,
checkpoint_path=checkpoint_path)
|
[
"def",
"decode",
"(",
"self",
",",
"dataset_split",
"=",
"None",
",",
"decode_from_file",
"=",
"False",
",",
"checkpoint_path",
"=",
"None",
")",
":",
"if",
"decode_from_file",
":",
"decoding",
".",
"decode_from_file",
"(",
"self",
".",
"_estimator",
",",
"self",
".",
"_decode_hparams",
".",
"decode_from_file",
",",
"self",
".",
"_hparams",
",",
"self",
".",
"_decode_hparams",
",",
"self",
".",
"_decode_hparams",
".",
"decode_to_file",
")",
"else",
":",
"decoding",
".",
"decode_from_dataset",
"(",
"self",
".",
"_estimator",
",",
"self",
".",
"_hparams",
".",
"problem",
".",
"name",
",",
"self",
".",
"_hparams",
",",
"self",
".",
"_decode_hparams",
",",
"dataset_split",
"=",
"dataset_split",
",",
"checkpoint_path",
"=",
"checkpoint_path",
")"
] |
Decodes from dataset or file.
|
[
"Decodes",
"from",
"dataset",
"or",
"file",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L538-L556
|
train
|
Decodes from dataset or 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' + chr(0b1101111) + chr(0b100 + 0o55) + chr(968 - 914) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(1611 - 1562) + '\066' + '\x30', 31181 - 31173), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + '\x31' + chr(0b100110 + 0o21) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b10011 + 0o134) + chr(1601 - 1550) + '\062' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(8690 - 8579) + chr(329 - 280) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(53) + chr(2108 - 2059), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1283 - 1172) + '\061' + chr(51) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b111111 + 0o60) + chr(0b110110 + 0o0) + chr(53), 48889 - 48881), ehT0Px3KOsy9('\060' + chr(4669 - 4558) + '\065' + chr(0b100110 + 0o21), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\x31' + '\x31', 31716 - 31708), ehT0Px3KOsy9('\060' + '\157' + chr(1354 - 1300) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(53) + chr(609 - 559), 0o10), ehT0Px3KOsy9('\060' + chr(3435 - 3324) + '\063' + '\x36' + chr(0b11111 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(7488 - 7377) + '\061' + chr(2402 - 2348) + chr(0b1001 + 0o52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1846 - 1798) + chr(4606 - 4495) + chr(2031 - 1980) + chr(0b110011) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\067' + chr(0b100111 + 0o13), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(54) + chr(52), 65024 - 65016), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b11001 + 0o31) + chr(333 - 283), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(1275 - 1226) + '\x35', 9746 - 9738), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(51) + chr(0b10110 + 0o40), 60934 - 60926), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\066' + chr(55), 8), ehT0Px3KOsy9(chr(570 - 522) + chr(0b10101 + 0o132) + chr(0b110010) + chr(50) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(0b110111) + chr(0b110011), 17983 - 17975), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b101 + 0o152) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b110010) + '\065' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(486 - 438) + '\x6f' + chr(49) + '\061' + chr(1270 - 1222), 18094 - 18086), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(9027 - 8916) + chr(51) + '\x32' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(0b110010) + chr(1186 - 1133) + chr(420 - 370), 10075 - 10067), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1694 - 1645) + '\063' + chr(0b10110 + 0o41), 8), ehT0Px3KOsy9(chr(418 - 370) + '\x6f' + '\063' + '\x32' + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + chr(12238 - 12127) + '\063' + '\062' + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100001 + 0o22) + chr(2056 - 2008), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101100 + 0o103) + chr(2262 - 2212) + '\x32' + '\x32', 14966 - 14958), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + '\067' + chr(1134 - 1079), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1076 - 1025) + chr(0b110011) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(218 - 165) + chr(315 - 264), 0o10), ehT0Px3KOsy9(chr(1458 - 1410) + chr(0b1101111) + '\x35' + chr(0b10010 + 0o44), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(211 - 162) + chr(1785 - 1733) + '\x31', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(247 - 194) + chr(48), 35862 - 35854)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\\'), '\x64' + chr(0b110 + 0o137) + '\x63' + chr(10424 - 10313) + '\144' + chr(0b11000 + 0o115))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(45) + chr(0b10110 + 0o42)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RSziqSuj39r9(oVre8I6UXc3b, XqbfPmad1kJ4=None, TTsk1pxwDMKj=ehT0Px3KOsy9(chr(1701 - 1653) + chr(2585 - 2474) + chr(523 - 475), 0o10), lbKq88EBpYWb=None):
if TTsk1pxwDMKj:
xafqLlk3kkUe(jyVHS0IYLm_8, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\x15\x1c\xbbjL\x00S]\xe6Zu\x91\x1am\xbb'), '\x64' + '\x65' + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\145')(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b101 + 0o50) + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'-\x15\x0c\xa0gD>A@\xfb'), '\x64' + chr(101) + chr(99) + '\x6f' + '\x64' + chr(101))(chr(0b1011111 + 0o26) + '\x74' + chr(102) + '\055' + chr(56))), xafqLlk3kkUe(oVre8I6UXc3b._decode_hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\x15\x1c\xbbjL\x00S]\xe6Zu\x91\x1am\xbb'), '\x64' + chr(3388 - 3287) + chr(0b11110 + 0o105) + '\157' + chr(1859 - 1759) + '\145')(chr(117) + '\164' + '\x66' + '\x2d' + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c 0\xe1MQ)j}\xdaf{'), chr(100) + '\145' + chr(0b1100011) + chr(2683 - 2572) + chr(0b1100100) + chr(2631 - 2530))(chr(0b111101 + 0o70) + chr(116) + chr(102) + chr(0b101101) + chr(56))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'6\x1f\x06\xba|\x18\r~]\xee~l'), chr(0b11 + 0o141) + '\145' + chr(0b1100011) + '\x6f' + chr(100) + chr(0b10110 + 0o117))(chr(10168 - 10051) + '\x74' + chr(761 - 659) + '\x2d' + '\070')), xafqLlk3kkUe(oVre8I6UXc3b._decode_hparams, xafqLlk3kkUe(SXOLrMavuUCe(b"\x149'\xbbg|>Qu\xcefN"), '\x64' + '\145' + '\x63' + chr(3055 - 2944) + chr(0b1101 + 0o127) + '\145')(chr(117) + chr(299 - 183) + chr(102) + chr(0b1101 + 0o40) + chr(0b111000))))
else:
xafqLlk3kkUe(jyVHS0IYLm_8, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\x15\x1c\xbbjL\x00S]\xe6Zu\x93\x12u\xbf\xc9\xd1&'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + chr(3676 - 3576) + chr(0b1 + 0o144))(chr(0b1110101) + chr(12622 - 12506) + chr(0b1100110) + '\x2d' + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'-\x15\x0c\xa0gD>A@\xfb'), chr(837 - 737) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\x64' + '\145')(chr(117) + chr(3843 - 3727) + chr(4915 - 4813) + chr(0b101101) + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b._hparams.problem, xafqLlk3kkUe(SXOLrMavuUCe(b'39\t\x9e\\S\x13Qk\xefPl'), '\x64' + chr(0b1100101) + chr(7565 - 7466) + '\157' + chr(3576 - 3476) + '\x65')(chr(0b10101 + 0o140) + chr(7935 - 7819) + chr(102) + chr(45) + chr(0b1000 + 0o60))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c 0\xe1MQ)j}\xdaf{'), '\144' + chr(0b11010 + 0o113) + chr(0b1100011) + chr(111) + chr(0b1000111 + 0o35) + '\x65')('\165' + '\x74' + chr(0b1100110) + '\x2d' + chr(0b111000))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'6\x1f\x06\xba|\x18\r~]\xee~l'), chr(3551 - 3451) + chr(0b1100101) + '\143' + chr(111) + chr(0b101111 + 0o65) + chr(0b1100101))(chr(2157 - 2040) + chr(0b100 + 0o160) + chr(0b1100110) + '\x2d' + '\070')), dataset_split=XqbfPmad1kJ4, checkpoint_path=lbKq88EBpYWb)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
T2TExperiment.continuous_decode
|
def continuous_decode(self):
"""Decode from dataset on new checkpoint."""
for _ in next_checkpoint(self._hparams.model_dir,
self._decode_hparams.decode_timeout_mins):
self.decode()
|
python
|
def continuous_decode(self):
"""Decode from dataset on new checkpoint."""
for _ in next_checkpoint(self._hparams.model_dir,
self._decode_hparams.decode_timeout_mins):
self.decode()
|
[
"def",
"continuous_decode",
"(",
"self",
")",
":",
"for",
"_",
"in",
"next_checkpoint",
"(",
"self",
".",
"_hparams",
".",
"model_dir",
",",
"self",
".",
"_decode_hparams",
".",
"decode_timeout_mins",
")",
":",
"self",
".",
"decode",
"(",
")"
] |
Decode from dataset on new checkpoint.
|
[
"Decode",
"from",
"dataset",
"on",
"new",
"checkpoint",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L558-L562
|
train
|
Decode from dataset on new checkpoint.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110101) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + chr(1391 - 1341) + chr(0b110101) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + '\x31' + chr(0b110111) + chr(0b101100 + 0o7), 48823 - 48815), ehT0Px3KOsy9(chr(48) + chr(5153 - 5042) + chr(51) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(203 - 150) + chr(1013 - 961), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110 + 0o53) + '\x33' + chr(396 - 343), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100101 + 0o15) + '\x31' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + '\x31' + chr(0b100001 + 0o23), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110110) + chr(939 - 887), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10101 + 0o34) + chr(49) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101110 + 0o101) + chr(0b110010) + '\x36' + chr(0b1010 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\x33' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(11820 - 11709) + '\x31' + chr(894 - 844) + chr(0b10001 + 0o45), 0b1000), ehT0Px3KOsy9(chr(615 - 567) + '\157' + chr(0b110010) + chr(50) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110 + 0o53) + '\062' + '\061', 34079 - 34071), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x35' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(0b110011) + chr(50), 29943 - 29935), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(51) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(2474 - 2423) + '\x30' + chr(0b110000), 64072 - 64064), ehT0Px3KOsy9('\060' + '\x6f' + chr(2258 - 2209) + chr(0b10010 + 0o36), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + chr(799 - 748) + chr(0b100010 + 0o21) + chr(1893 - 1844), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1011 + 0o50) + chr(0b0 + 0o65) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1083 - 1035) + '\157' + '\x31' + chr(55) + chr(0b100011 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\061' + chr(1405 - 1352), 53336 - 53328), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\x34' + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111010 + 0o65) + '\x35' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b101000 + 0o13), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\065' + chr(0b100 + 0o54), 8), ehT0Px3KOsy9(chr(48) + chr(2898 - 2787) + '\x33' + '\x35' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(54) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2161 - 2111) + '\x30' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(5462 - 5351) + '\067' + '\063', 0b1000), ehT0Px3KOsy9(chr(1567 - 1519) + chr(0b1101111) + chr(0b110011) + chr(271 - 219), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8661 - 8550) + chr(50) + chr(53) + '\x31', 8), ehT0Px3KOsy9(chr(48) + chr(981 - 870) + chr(255 - 204) + '\062' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1504 - 1393) + '\062' + '\066' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\x36' + '\x35', 3374 - 3366), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(55) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(838 - 790) + chr(12045 - 11934) + chr(0b10111 + 0o36) + chr(0b1111 + 0o41), 8), ehT0Px3KOsy9(chr(1638 - 1590) + chr(0b1101111) + chr(0b101101 + 0o7), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + 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'\x86'), chr(2871 - 2771) + chr(2672 - 2571) + chr(5420 - 5321) + chr(6860 - 6749) + '\x64' + chr(0b1000010 + 0o43))('\x75' + '\164' + '\146' + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def h5LiIT1z_JGb(oVre8I6UXc3b):
for VNGQdHSFPrso in LpVKbHVStaU3(xafqLlk3kkUe(oVre8I6UXc3b._hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xc6\x1fx@\x02\xeee\x86'), chr(100) + chr(0b1100101) + chr(99) + '\157' + chr(0b11100 + 0o110) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(102) + '\x2d' + chr(0b101101 + 0o13))), xafqLlk3kkUe(oVre8I6UXc3b._decode_hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xcc\x18rH8\xd5x\x9d%\xd66#\xe5\x0eEs\xf3\xb3'), chr(0b1101 + 0o127) + '\x65' + chr(99) + chr(6895 - 6784) + chr(100) + chr(101))('\165' + chr(116) + '\146' + chr(1784 - 1739) + '\x38'))):
xafqLlk3kkUe(oVre8I6UXc3b, chr(8426 - 8326) + chr(0b1011010 + 0o13) + '\x63' + chr(0b1001 + 0o146) + chr(0b111000 + 0o54) + '\x65')()
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
T2TExperiment.continuous_decode_on_train_data
|
def continuous_decode_on_train_data(self):
"""Decode from dataset on new checkpoint."""
for _ in next_checkpoint(self._hparams.model_dir,
self._decode_hparams.decode_timeout_mins):
self.decode(dataset_split=tf.estimator.ModeKeys.TRAIN)
|
python
|
def continuous_decode_on_train_data(self):
"""Decode from dataset on new checkpoint."""
for _ in next_checkpoint(self._hparams.model_dir,
self._decode_hparams.decode_timeout_mins):
self.decode(dataset_split=tf.estimator.ModeKeys.TRAIN)
|
[
"def",
"continuous_decode_on_train_data",
"(",
"self",
")",
":",
"for",
"_",
"in",
"next_checkpoint",
"(",
"self",
".",
"_hparams",
".",
"model_dir",
",",
"self",
".",
"_decode_hparams",
".",
"decode_timeout_mins",
")",
":",
"self",
".",
"decode",
"(",
"dataset_split",
"=",
"tf",
".",
"estimator",
".",
"ModeKeys",
".",
"TRAIN",
")"
] |
Decode from dataset on new checkpoint.
|
[
"Decode",
"from",
"dataset",
"on",
"new",
"checkpoint",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L564-L568
|
train
|
Decode from dataset on new checkpoint.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(10562 - 10451) + chr(0b101011 + 0o7) + chr(0b110101 + 0o2) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11000 + 0o31) + chr(0b110001) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1609 - 1558) + chr(0b110100) + chr(942 - 891), 19922 - 19914), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\x33' + chr(0b101111 + 0o4) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110010) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(9027 - 8916) + chr(0b100000 + 0o22) + chr(1453 - 1405), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10110 + 0o33) + chr(0b101000 + 0o13) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b10000 + 0o45) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x33' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100111 + 0o10) + chr(1428 - 1379) + chr(50) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(54) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b10011 + 0o37) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10111 + 0o32) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(10975 - 10864) + '\x32' + chr(0b100101 + 0o22) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\067' + chr(51), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100110 + 0o14) + chr(49) + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110110) + chr(0b1011 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1608 - 1497) + chr(0b11000 + 0o31) + '\060', 25549 - 25541), ehT0Px3KOsy9(chr(0b110000) + chr(8972 - 8861) + '\066' + chr(783 - 729), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11111 + 0o22) + chr(0b0 + 0o67) + chr(0b0 + 0o62), 21987 - 21979), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\062', 37355 - 37347), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + '\x31' + '\x30' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(2154 - 2106) + chr(0b1101111) + chr(2121 - 2070) + chr(53) + chr(1293 - 1242), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + '\x35' + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(55) + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101000 + 0o12) + '\062' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(0b110011) + chr(2113 - 2060), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110101) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1260 - 1211) + chr(0b110001) + chr(50), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110110) + '\064', 49243 - 49235), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + chr(1064 - 1014) + '\065' + chr(0b11011 + 0o25), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(10537 - 10426) + '\x32' + chr(55) + chr(0b110111), 28003 - 27995), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(1737 - 1683) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + chr(1573 - 1523), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101110 + 0o101) + chr(187 - 136) + chr(49) + chr(548 - 495), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11000 + 0o31) + chr(55) + chr(0b100 + 0o62), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(0b100101 + 0o20) + '\x30', 16605 - 16597)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\x6f' + chr(100) + '\x65')(chr(0b1110101) + chr(2455 - 2339) + chr(102) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jP332Ml4cKv2(oVre8I6UXc3b):
for VNGQdHSFPrso in LpVKbHVStaU3(xafqLlk3kkUe(oVre8I6UXc3b._hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'M\xd2.\x86\xb0\x8ct0\x9b'), '\144' + chr(101) + '\143' + chr(4971 - 4860) + chr(100) + chr(0b1100101))(chr(117) + '\x74' + chr(2529 - 2427) + chr(586 - 541) + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b._decode_hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'D\xd8)\x8c\xb8\xb6O-\x8070\xdb\xa0\x7f\xe4\xd6\xe0jD'), '\144' + '\x65' + chr(3201 - 3102) + chr(111) + chr(413 - 313) + '\x65')(chr(117) + chr(0b100010 + 0o122) + '\146' + '\x2d' + '\070'))):
xafqLlk3kkUe(oVre8I6UXc3b, chr(0b1010001 + 0o23) + chr(518 - 417) + chr(99) + chr(0b1101111) + chr(0b1001101 + 0o27) + '\x65')(dataset_split=xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b't\xef\x0b\xaa\x92'), chr(5449 - 5349) + chr(0b1100101) + '\x63' + chr(0b101001 + 0o106) + '\x64' + '\x65')(chr(0b100111 + 0o116) + chr(1350 - 1234) + chr(102) + chr(1324 - 1279) + '\x38')))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
T2TExperiment.continuous_decode_on_eval_data
|
def continuous_decode_on_eval_data(self):
"""Decode from dataset on new checkpoint."""
if self._hparams.mlperf_mode:
ckpt_generator = next_undecoded_checkpoint(
self._hparams.model_dir, self._decode_hparams.decode_timeout_mins)
else:
ckpt_generator = next_checkpoint(self._hparams.model_dir,
self._decode_hparams.decode_timeout_mins)
for ckpt in ckpt_generator:
current_step = decoding.get_step_from_ckpt_path(ckpt)
tf.logging.info("Decoding step %d" % current_step)
# Skip checkpoint 0.
if current_step == 0:
continue
# Decode the latest checkpoint by default.
checkpoint_path = None
if self._hparams.mlperf_mode:
self._decode_hparams.mlperf_decode_step = current_step
checkpoint_path = ckpt
mlperf_log.transformer_print(key=mlperf_log.EVAL_START)
self.decode(
dataset_split=tf.estimator.ModeKeys.EVAL,
checkpoint_path=checkpoint_path)
d_hparams = self._decode_hparams
if self._hparams.mlperf_mode and d_hparams.mlperf_success:
mlperf_log.transformer_print(
key=mlperf_log.RUN_STOP, value={"success": "true"})
break
d_hparams = self._decode_hparams
if self._hparams.mlperf_mode and not d_hparams.mlperf_success:
mlperf_log.transformer_print(
key=mlperf_log.RUN_STOP, value={"success": "false"})
|
python
|
def continuous_decode_on_eval_data(self):
"""Decode from dataset on new checkpoint."""
if self._hparams.mlperf_mode:
ckpt_generator = next_undecoded_checkpoint(
self._hparams.model_dir, self._decode_hparams.decode_timeout_mins)
else:
ckpt_generator = next_checkpoint(self._hparams.model_dir,
self._decode_hparams.decode_timeout_mins)
for ckpt in ckpt_generator:
current_step = decoding.get_step_from_ckpt_path(ckpt)
tf.logging.info("Decoding step %d" % current_step)
# Skip checkpoint 0.
if current_step == 0:
continue
# Decode the latest checkpoint by default.
checkpoint_path = None
if self._hparams.mlperf_mode:
self._decode_hparams.mlperf_decode_step = current_step
checkpoint_path = ckpt
mlperf_log.transformer_print(key=mlperf_log.EVAL_START)
self.decode(
dataset_split=tf.estimator.ModeKeys.EVAL,
checkpoint_path=checkpoint_path)
d_hparams = self._decode_hparams
if self._hparams.mlperf_mode and d_hparams.mlperf_success:
mlperf_log.transformer_print(
key=mlperf_log.RUN_STOP, value={"success": "true"})
break
d_hparams = self._decode_hparams
if self._hparams.mlperf_mode and not d_hparams.mlperf_success:
mlperf_log.transformer_print(
key=mlperf_log.RUN_STOP, value={"success": "false"})
|
[
"def",
"continuous_decode_on_eval_data",
"(",
"self",
")",
":",
"if",
"self",
".",
"_hparams",
".",
"mlperf_mode",
":",
"ckpt_generator",
"=",
"next_undecoded_checkpoint",
"(",
"self",
".",
"_hparams",
".",
"model_dir",
",",
"self",
".",
"_decode_hparams",
".",
"decode_timeout_mins",
")",
"else",
":",
"ckpt_generator",
"=",
"next_checkpoint",
"(",
"self",
".",
"_hparams",
".",
"model_dir",
",",
"self",
".",
"_decode_hparams",
".",
"decode_timeout_mins",
")",
"for",
"ckpt",
"in",
"ckpt_generator",
":",
"current_step",
"=",
"decoding",
".",
"get_step_from_ckpt_path",
"(",
"ckpt",
")",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Decoding step %d\"",
"%",
"current_step",
")",
"# Skip checkpoint 0.",
"if",
"current_step",
"==",
"0",
":",
"continue",
"# Decode the latest checkpoint by default.",
"checkpoint_path",
"=",
"None",
"if",
"self",
".",
"_hparams",
".",
"mlperf_mode",
":",
"self",
".",
"_decode_hparams",
".",
"mlperf_decode_step",
"=",
"current_step",
"checkpoint_path",
"=",
"ckpt",
"mlperf_log",
".",
"transformer_print",
"(",
"key",
"=",
"mlperf_log",
".",
"EVAL_START",
")",
"self",
".",
"decode",
"(",
"dataset_split",
"=",
"tf",
".",
"estimator",
".",
"ModeKeys",
".",
"EVAL",
",",
"checkpoint_path",
"=",
"checkpoint_path",
")",
"d_hparams",
"=",
"self",
".",
"_decode_hparams",
"if",
"self",
".",
"_hparams",
".",
"mlperf_mode",
"and",
"d_hparams",
".",
"mlperf_success",
":",
"mlperf_log",
".",
"transformer_print",
"(",
"key",
"=",
"mlperf_log",
".",
"RUN_STOP",
",",
"value",
"=",
"{",
"\"success\"",
":",
"\"true\"",
"}",
")",
"break",
"d_hparams",
"=",
"self",
".",
"_decode_hparams",
"if",
"self",
".",
"_hparams",
".",
"mlperf_mode",
"and",
"not",
"d_hparams",
".",
"mlperf_success",
":",
"mlperf_log",
".",
"transformer_print",
"(",
"key",
"=",
"mlperf_log",
".",
"RUN_STOP",
",",
"value",
"=",
"{",
"\"success\"",
":",
"\"false\"",
"}",
")"
] |
Decode from dataset on new checkpoint.
|
[
"Decode",
"from",
"dataset",
"on",
"new",
"checkpoint",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L570-L604
|
train
|
Decode from dataset on new checkpoint.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1962 - 1914) + '\157' + chr(1897 - 1847) + chr(608 - 556) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x31' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + chr(1715 - 1665), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(49) + chr(0b110100) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\x32' + '\x31' + chr(53), 43256 - 43248), ehT0Px3KOsy9(chr(0b110000) + chr(10863 - 10752) + chr(0b11 + 0o56) + chr(0b110111) + chr(49), 0b1000), ehT0Px3KOsy9(chr(2297 - 2249) + chr(7139 - 7028) + chr(50) + '\062' + chr(442 - 390), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x37' + '\x33', 61211 - 61203), ehT0Px3KOsy9(chr(130 - 82) + '\157' + '\066' + chr(53), 41526 - 41518), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2406 - 2355) + chr(0b110010) + '\x31', 0o10), ehT0Px3KOsy9(chr(1458 - 1410) + chr(1388 - 1277) + chr(0b101001 + 0o11) + chr(0b11000 + 0o32) + chr(1488 - 1433), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\065' + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000010 + 0o55) + chr(0b110011) + '\x32' + chr(2238 - 2188), 59604 - 59596), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1213 - 1164) + chr(48) + chr(1780 - 1731), 0o10), ehT0Px3KOsy9(chr(968 - 920) + chr(0b101101 + 0o102) + chr(49) + chr(50) + '\065', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110111) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + '\x33' + chr(0b110100) + chr(2264 - 2211), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\066' + chr(0b11011 + 0o33), 18914 - 18906), ehT0Px3KOsy9('\x30' + chr(7038 - 6927) + chr(0b110001) + chr(54), 42138 - 42130), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1011111 + 0o20) + '\x34' + chr(958 - 903), 0b1000), ehT0Px3KOsy9(chr(2107 - 2059) + '\x6f' + chr(50) + chr(51) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + chr(53) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b1010 + 0o50) + chr(341 - 292), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(2037 - 1984) + '\066', 39134 - 39126), ehT0Px3KOsy9('\060' + chr(111) + '\x36' + '\065', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x30' + chr(1168 - 1119), 8), ehT0Px3KOsy9('\060' + chr(0b1010110 + 0o31) + chr(269 - 220) + chr(0b10110 + 0o41) + chr(354 - 302), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(49) + '\066' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(356 - 308) + '\157' + chr(739 - 690) + '\x34' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010010 + 0o35) + '\x31' + chr(0b110101) + chr(0b10101 + 0o40), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(1922 - 1874), 0o10), ehT0Px3KOsy9('\x30' + chr(3712 - 3601) + chr(52) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(51) + chr(0b1010 + 0o53) + chr(847 - 798), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(0b110 + 0o54) + '\x37' + chr(0b100011 + 0o23), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\067' + chr(114 - 62), 0b1000), ehT0Px3KOsy9('\060' + chr(5111 - 5000) + chr(1724 - 1673) + '\065' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b110 + 0o56) + chr(0b101011 + 0o13), 59752 - 59744), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + '\x34' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(1844 - 1796) + '\x6f' + chr(0b10100 + 0o35) + '\x36' + chr(0b110001), 40951 - 40943), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(51) + chr(0b110011), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(53) + chr(0b10001 + 0o37), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x89'), '\x64' + chr(101) + chr(99) + chr(0b101111 + 0o100) + '\x64' + '\x65')('\165' + chr(1998 - 1882) + chr(6046 - 5944) + '\055' + chr(2904 - 2848)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def K__axFnIAc7r(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b._hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xa6Z\x05\xff\x1f\xcb\xd6Z\xb5\xf2'), chr(100) + chr(0b1100101) + '\x63' + chr(111) + chr(0b10000 + 0o124) + chr(0b110101 + 0o60))(chr(0b1100011 + 0o22) + '\x74' + chr(102) + chr(0b101101) + '\070')):
qz9GtHBZLbOQ = ZXaxGIM1EKxl(oVre8I6UXc3b._hparams.model_dir, oVre8I6UXc3b._decode_hparams.decode_timeout_mins)
else:
qz9GtHBZLbOQ = LpVKbHVStaU3(oVre8I6UXc3b._hparams.model_dir, oVre8I6UXc3b._decode_hparams.decode_timeout_mins)
for NjM4QqAJGres in qz9GtHBZLbOQ:
YmvhiZqIb4MX = jyVHS0IYLm_8.get_step_from_ckpt_path(NjM4QqAJGres)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xfdb\x18\xf8\x1a\xf3\x8c_\xbd\xcd\x01'), chr(100) + '\145' + '\143' + chr(11213 - 11102) + '\x64' + '\x65')(chr(409 - 292) + '\164' + chr(0b1100110) + chr(45) + chr(0b101101 + 0o13)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xafI\x0f\xe9\x10\xfa\xdc\x15\xa2\xe3\x0f\xa2ap\\'), '\144' + '\145' + '\143' + '\x6f' + '\x64' + '\x65')(chr(0b1011010 + 0o33) + chr(7548 - 7432) + '\x66' + '\055' + '\070') % YmvhiZqIb4MX)
if YmvhiZqIb4MX == ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(4054 - 3943) + chr(210 - 162), ord("\x08")):
continue
lbKq88EBpYWb = None
if xafqLlk3kkUe(oVre8I6UXc3b._hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xa6Z\x05\xff\x1f\xcb\xd6Z\xb5\xf2'), chr(100) + chr(10036 - 9935) + chr(7408 - 7309) + chr(0b1101111) + chr(100) + chr(0b10000 + 0o125))(chr(0b1101011 + 0o12) + chr(12271 - 12155) + chr(6753 - 6651) + chr(45) + '\070')):
oVre8I6UXc3b._decode_hparams.F1BCZIdDM1kJ = YmvhiZqIb4MX
lbKq88EBpYWb = NjM4QqAJGres
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xb8K\x0e\xfe\x1f\xfb\xc9X\xb4\xe55\xa23<V\x91'), '\x64' + '\x65' + '\143' + chr(0b1011010 + 0o25) + chr(100) + chr(0b1010100 + 0o21))(chr(0b1011 + 0o152) + chr(1391 - 1275) + chr(7736 - 7634) + chr(45) + '\x38'))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\x9ck,\xd2*\xc0\xfag\x85'), '\144' + chr(0b1010010 + 0o23) + '\x63' + chr(111) + chr(0b1100100) + chr(3186 - 3085))(chr(12904 - 12787) + chr(0b1011101 + 0o27) + chr(102) + chr(0b1010 + 0o43) + '\070')))
xafqLlk3kkUe(oVre8I6UXc3b, chr(100) + '\x65' + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(101))(dataset_split=xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\x9ck,'), '\144' + '\145' + '\143' + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1110101 + 0o0) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000))), checkpoint_path=lbKq88EBpYWb)
FghHmi0P9H4I = oVre8I6UXc3b.Doynr1RKrgIF
if xafqLlk3kkUe(oVre8I6UXc3b._hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xa6Z\x05\xff\x1f\xcb\xd6Z\xb5\xf2'), '\144' + chr(101) + chr(0b1011110 + 0o5) + chr(111) + '\144' + '\145')(chr(11241 - 11124) + chr(0b1110100) + '\146' + chr(1778 - 1733) + chr(56))) and xafqLlk3kkUe(FghHmi0P9H4I, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xa6Z\x05\xff\x1f\xcb\xc8@\xb2\xf4\x0f\xa12'), chr(100) + chr(101) + '\x63' + chr(111) + chr(100) + chr(0b1010010 + 0o23))(chr(0b1100110 + 0o17) + '\164' + chr(0b1100101 + 0o1) + '\x2d' + chr(0b11111 + 0o31))):
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xb8K\x0e\xfe\x1f\xfb\xc9X\xb4\xe55\xa23<V\x91'), chr(0b1100100) + chr(6667 - 6566) + chr(7239 - 7140) + '\x6f' + chr(100) + '\145')('\x75' + chr(7902 - 7786) + chr(102) + chr(0b101101) + '\070'))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\x9fd?\xde-\xdb\xeb'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\x6f' + '\144' + chr(101))(chr(8451 - 8334) + chr(0b1110100) + chr(0b1100110) + chr(822 - 777) + '\070')), value={xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xbfI\x03\xe8\n\xe7'), chr(7750 - 7650) + chr(0b1100101) + chr(99) + chr(0b1101110 + 0o1) + chr(312 - 212) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b11101 + 0o111) + '\x2d' + chr(0b11001 + 0o37)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xb8_\x05'), chr(0b1100100) + '\x65' + chr(0b10010 + 0o121) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(2433 - 2331) + chr(45) + '\x38')})
break
FghHmi0P9H4I = oVre8I6UXc3b.Doynr1RKrgIF
if xafqLlk3kkUe(oVre8I6UXc3b._hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xa6Z\x05\xff\x1f\xcb\xd6Z\xb5\xf2'), chr(100) + '\145' + chr(0b1100011) + '\x6f' + chr(100) + '\145')('\x75' + '\164' + '\146' + chr(0b101101) + chr(56))) and (not xafqLlk3kkUe(FghHmi0P9H4I, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xa6Z\x05\xff\x1f\xcb\xc8@\xb2\xf4\x0f\xa12'), chr(0b101111 + 0o65) + chr(763 - 662) + '\x63' + chr(0b1101111) + chr(0b101 + 0o137) + chr(101))('\x75' + chr(0b1110100) + chr(102) + chr(45) + '\070'))):
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xb8K\x0e\xfe\x1f\xfb\xc9X\xb4\xe55\xa23<V\x91'), '\x64' + chr(0b1010111 + 0o16) + chr(0b101100 + 0o67) + chr(0b11000 + 0o127) + chr(100) + chr(0b11001 + 0o114))('\x75' + chr(0b1110100) + '\x66' + chr(219 - 174) + chr(596 - 540)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\x9fd?\xde-\xdb\xeb'), chr(0b110010 + 0o62) + chr(0b10001 + 0o124) + chr(99) + chr(0b1101111) + chr(0b1000 + 0o134) + '\145')(chr(702 - 585) + chr(0b11100 + 0o130) + chr(102) + chr(45) + chr(56))), value={xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xbfI\x03\xe8\n\xe7'), chr(0b10011 + 0o121) + '\145' + chr(0b1001000 + 0o33) + chr(0b100110 + 0o111) + chr(0b1100100) + chr(101))('\x75' + chr(0b101110 + 0o106) + '\x66' + '\x2d' + chr(56)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\xabF\x13\xe8'), chr(0b100010 + 0o102) + '\145' + chr(4488 - 4389) + chr(111) + chr(100) + chr(0b1100101))(chr(11642 - 11525) + '\x74' + '\x66' + '\x2d' + chr(56))})
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/trainer_lib.py
|
T2TExperiment.continuous_decode_from_file
|
def continuous_decode_from_file(self):
"""Decode from file on new checkpoint."""
for _ in next_checkpoint(self._hparams.model_dir,
self._decode_hparams.decode_timeout_mins):
self.decode(decode_from_file=True)
|
python
|
def continuous_decode_from_file(self):
"""Decode from file on new checkpoint."""
for _ in next_checkpoint(self._hparams.model_dir,
self._decode_hparams.decode_timeout_mins):
self.decode(decode_from_file=True)
|
[
"def",
"continuous_decode_from_file",
"(",
"self",
")",
":",
"for",
"_",
"in",
"next_checkpoint",
"(",
"self",
".",
"_hparams",
".",
"model_dir",
",",
"self",
".",
"_decode_hparams",
".",
"decode_timeout_mins",
")",
":",
"self",
".",
"decode",
"(",
"decode_from_file",
"=",
"True",
")"
] |
Decode from file on new checkpoint.
|
[
"Decode",
"from",
"file",
"on",
"new",
"checkpoint",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/trainer_lib.py#L606-L610
|
train
|
Decode from file on new checkpoint.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + chr(863 - 811) + chr(1480 - 1428), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b110101), 3645 - 3637), ehT0Px3KOsy9('\060' + chr(5508 - 5397) + '\x33' + chr(0b101110 + 0o10) + chr(0b10000 + 0o42), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(57 - 8) + '\x36' + chr(0b100110 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1000100 + 0o53) + '\061' + '\x34' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(0b1111 + 0o44) + chr(0b110000 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(1714 - 1666) + chr(0b1101111) + chr(49) + '\x35' + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b10111 + 0o33) + chr(2100 - 2047), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b110111) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(1900 - 1852) + chr(0b111001 + 0o66) + chr(0b110011) + chr(0b110110 + 0o0) + chr(0b101010 + 0o11), 19509 - 19501), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b0 + 0o61) + chr(0b10011 + 0o44), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1010 + 0o47) + chr(1008 - 956) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100111 + 0o10) + chr(49) + chr(0b110100) + chr(0b110100), 23080 - 23072), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1240 - 1188) + chr(0b100101 + 0o17), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b10110 + 0o33) + chr(2039 - 1988), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10001 + 0o42) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1756 - 1708) + '\157' + chr(1682 - 1631), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110111 + 0o70) + chr(0b110011) + '\060' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8561 - 8450) + '\067', 8), ehT0Px3KOsy9(chr(48) + chr(9458 - 9347) + chr(1155 - 1105) + chr(49) + chr(0b0 + 0o61), 41403 - 41395), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(8428 - 8317) + chr(0b110001) + chr(192 - 137), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2033 - 1922) + chr(51) + chr(53) + '\060', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10011 + 0o36) + chr(49) + chr(0b100111 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(51) + chr(2619 - 2564) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3962 - 3851) + chr(50) + chr(55) + chr(0b110111), 19185 - 19177), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(53) + chr(1007 - 957), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110110) + '\x31', 58699 - 58691), ehT0Px3KOsy9('\060' + '\x6f' + chr(1431 - 1381) + '\064' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010001 + 0o36) + chr(0b100100 + 0o16) + chr(0b11010 + 0o34) + chr(1394 - 1344), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1101 + 0o50) + chr(1907 - 1857), 54329 - 54321), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b1111 + 0o47) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(2050 - 2000) + chr(0b100000 + 0o27) + '\x31', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(53) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100101 + 0o16) + '\064' + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(510 - 459) + '\x37', 0b1000), ehT0Px3KOsy9(chr(196 - 148) + '\157' + chr(350 - 300) + chr(555 - 500) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11100 + 0o32) + chr(1095 - 1040), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b101010 + 0o105) + '\065' + chr(0b11101 + 0o23), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\n'), chr(8354 - 8254) + chr(101) + chr(8000 - 7901) + chr(111) + chr(0b111011 + 0o51) + chr(0b111110 + 0o47))(chr(13540 - 13423) + chr(0b1010110 + 0o36) + chr(0b1100110) + chr(0b101101) + chr(0b110010 + 0o6)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def OC8R_wIQB9pf(oVre8I6UXc3b):
for VNGQdHSFPrso in LpVKbHVStaU3(xafqLlk3kkUe(oVre8I6UXc3b._hparams, xafqLlk3kkUe(SXOLrMavuUCe(b"Ihq\x97\x1f<\x7f\x04'"), chr(0b10100 + 0o120) + chr(0b1100101) + chr(0b11100 + 0o107) + chr(0b1101111) + '\x64' + '\145')(chr(117) + chr(7663 - 7547) + '\x66' + chr(45) + chr(0b111000))), xafqLlk3kkUe(oVre8I6UXc3b._decode_hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'@bv\x9d\x17\x06D\x19<\xd4\x96\xe0\x12\x10FI"tp'), '\144' + '\145' + '\x63' + chr(111) + chr(5098 - 4998) + '\x65')(chr(0b1110101) + chr(0b1110100) + '\146' + '\055' + chr(56)))):
xafqLlk3kkUe(oVre8I6UXc3b, chr(3765 - 3665) + chr(0b1100101 + 0o0) + chr(0b1101 + 0o126) + chr(0b1001010 + 0o45) + chr(100) + '\x65')(decode_from_file=ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + '\x31', 0o10))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/t2t_model.py
|
_flatten_dict
|
def _flatten_dict(original_dict):
"""Flatten dict of dicts into a single dict with appropriate prefixes.
Handles only 2 levels of nesting in the original dict.
Args:
original_dict: Dict which may contain one or more dicts.
Returns:
flat_dict: Dict without any nesting. Any dicts in the original dict have
their keys as prefixes in the new dict.
Raises:
ValueError if the original dict has more than two levels of nesting.
"""
flat_dict = {}
for key, value in original_dict.items():
if isinstance(value, dict):
for name, tensor in value.items():
if isinstance(tensor, dict):
raise ValueError("flatten_dict only handles 2 levels of nesting.")
flat_key = "__" + key + "_" + name
flat_dict[flat_key] = tensor
else:
flat_dict[key] = value
return flat_dict
|
python
|
def _flatten_dict(original_dict):
"""Flatten dict of dicts into a single dict with appropriate prefixes.
Handles only 2 levels of nesting in the original dict.
Args:
original_dict: Dict which may contain one or more dicts.
Returns:
flat_dict: Dict without any nesting. Any dicts in the original dict have
their keys as prefixes in the new dict.
Raises:
ValueError if the original dict has more than two levels of nesting.
"""
flat_dict = {}
for key, value in original_dict.items():
if isinstance(value, dict):
for name, tensor in value.items():
if isinstance(tensor, dict):
raise ValueError("flatten_dict only handles 2 levels of nesting.")
flat_key = "__" + key + "_" + name
flat_dict[flat_key] = tensor
else:
flat_dict[key] = value
return flat_dict
|
[
"def",
"_flatten_dict",
"(",
"original_dict",
")",
":",
"flat_dict",
"=",
"{",
"}",
"for",
"key",
",",
"value",
"in",
"original_dict",
".",
"items",
"(",
")",
":",
"if",
"isinstance",
"(",
"value",
",",
"dict",
")",
":",
"for",
"name",
",",
"tensor",
"in",
"value",
".",
"items",
"(",
")",
":",
"if",
"isinstance",
"(",
"tensor",
",",
"dict",
")",
":",
"raise",
"ValueError",
"(",
"\"flatten_dict only handles 2 levels of nesting.\"",
")",
"flat_key",
"=",
"\"__\"",
"+",
"key",
"+",
"\"_\"",
"+",
"name",
"flat_dict",
"[",
"flat_key",
"]",
"=",
"tensor",
"else",
":",
"flat_dict",
"[",
"key",
"]",
"=",
"value",
"return",
"flat_dict"
] |
Flatten dict of dicts into a single dict with appropriate prefixes.
Handles only 2 levels of nesting in the original dict.
Args:
original_dict: Dict which may contain one or more dicts.
Returns:
flat_dict: Dict without any nesting. Any dicts in the original dict have
their keys as prefixes in the new dict.
Raises:
ValueError if the original dict has more than two levels of nesting.
|
[
"Flatten",
"dict",
"of",
"dicts",
"into",
"a",
"single",
"dict",
"with",
"appropriate",
"prefixes",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/t2t_model.py#L63-L87
|
train
|
Flatten a dict of dicts into a single dict with appropriate prefixes.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1754 - 1706) + chr(0b100000 + 0o117) + '\x32' + chr(49) + chr(52), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b11100 + 0o33) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5804 - 5693) + chr(1003 - 954) + chr(0b110010) + chr(0b11010 + 0o31), 29201 - 29193), ehT0Px3KOsy9(chr(48) + chr(111) + chr(884 - 834) + '\065' + chr(0b100001 + 0o22), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101 + 0o152) + chr(919 - 870) + chr(55) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1354 - 1305) + chr(0b100010 + 0o25) + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x30' + chr(0b10011 + 0o35), 19362 - 19354), ehT0Px3KOsy9(chr(2267 - 2219) + chr(111) + chr(0b10110 + 0o34) + '\x33' + chr(1146 - 1094), 30728 - 30720), ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + chr(1153 - 1104) + chr(53) + chr(0b110000), 36948 - 36940), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b1000 + 0o52) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(924 - 876) + chr(0b1101111) + '\x31' + '\x36' + '\x33', 36775 - 36767), ehT0Px3KOsy9(chr(1410 - 1362) + '\x6f' + chr(53) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7175 - 7064) + chr(1315 - 1264) + chr(0b11110 + 0o31) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(6957 - 6846) + chr(50) + chr(49) + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + chr(483 - 372) + chr(1552 - 1503) + chr(2303 - 2254), 47349 - 47341), ehT0Px3KOsy9(chr(1330 - 1282) + '\x6f' + chr(2489 - 2438) + chr(0b110 + 0o54) + '\x30', 14708 - 14700), ehT0Px3KOsy9('\060' + chr(0b1010010 + 0o35) + '\061' + chr(0b110101) + chr(2806 - 2752), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(0b110011) + chr(992 - 937) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(0b10110 + 0o33) + '\x33' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1812 - 1762) + chr(2504 - 2453) + chr(1523 - 1469), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11100 + 0o26) + chr(0b110100) + chr(54), 49307 - 49299), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1061 - 1012) + '\x30' + '\062', 0o10), ehT0Px3KOsy9(chr(509 - 461) + chr(0b1101111) + chr(51) + '\065' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(164 - 112) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b11011 + 0o32) + chr(0b110111), 3519 - 3511), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(2766 - 2712) + chr(49), 8984 - 8976), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(66 - 17) + '\x32' + chr(1619 - 1565), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(714 - 603) + chr(906 - 855) + chr(0b110101 + 0o0) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(0b1111 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(178 - 127) + '\x36' + chr(0b11010 + 0o32), 0b1000), ehT0Px3KOsy9(chr(1570 - 1522) + chr(0b1101111) + chr(0b100001 + 0o22) + chr(0b110100 + 0o2) + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101101 + 0o6) + chr(925 - 871), ord("\x08")), ehT0Px3KOsy9(chr(185 - 137) + '\157' + chr(0b11100 + 0o27) + '\062' + chr(0b110001), 35169 - 35161), ehT0Px3KOsy9(chr(1584 - 1536) + '\x6f' + chr(0b100001 + 0o20) + chr(0b110001) + '\065', 41725 - 41717), ehT0Px3KOsy9(chr(0b110000) + chr(10780 - 10669) + '\x31' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b110000 + 0o2) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + chr(372 - 323) + chr(50) + chr(54), 8), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + '\061' + chr(1332 - 1280) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10100 + 0o133) + chr(1979 - 1930) + chr(0b11111 + 0o25) + chr(48), 29024 - 29016), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x35' + chr(0b11101 + 0o31), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101) + chr(936 - 888), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2'), '\x64' + '\145' + chr(0b1100011) + chr(0b101001 + 0o106) + '\144' + '\x65')('\165' + chr(0b1110100) + '\146' + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def vLyZzUZiuT3H(qwWZZcJ5LhbT):
OBe_w5cyzaUc = {}
for (K3J4ZwSlE0sT, QmmgWUB13VCJ) in xafqLlk3kkUe(qwWZZcJ5LhbT, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2E%\xce5&s\xd5\x04\x87;\x14'), '\144' + '\x65' + '\143' + chr(10645 - 10534) + '\x64' + chr(1659 - 1558))('\x75' + chr(4262 - 4146) + '\146' + chr(45) + '\x38'))():
if PlSM16l2KDPD(QmmgWUB13VCJ, wLqBDw8l0eIm):
for (AIvJRzLdDfgF, LK3cpXJU3UM0) in xafqLlk3kkUe(QmmgWUB13VCJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2E%\xce5&s\xd5\x04\x87;\x14'), '\x64' + '\x65' + chr(3412 - 3313) + chr(3288 - 3177) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(1891 - 1789) + '\x2d' + '\x38'))():
if PlSM16l2KDPD(LK3cpXJU3UM0, wLqBDw8l0eIm):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xeaS2\xdf\x08\x19.\xc3\x0c\xbd\x10Y\xd8\xe3g\xbc\x17\xde3\xff\xc8&\x82\xc7\x1c\xd1d\xc8@\x91\x87{\xbd>->0D\x0e\x0b\xffK:\xc5\x1bR'), chr(0b1000000 + 0o44) + chr(101) + '\x63' + '\157' + chr(0b1100100) + '\x65')(chr(8780 - 8663) + chr(0b1110100) + chr(102) + chr(0b0 + 0o55) + chr(0b111000)))
zFczWct9_ojj = xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3`'), chr(607 - 507) + chr(101) + chr(0b10000 + 0o123) + chr(111) + chr(0b1000 + 0o134) + chr(101))(chr(137 - 20) + chr(2438 - 2322) + chr(102) + chr(0b100011 + 0o12) + chr(2839 - 2783)) + K3J4ZwSlE0sT + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3'), chr(100) + '\145' + chr(0b1100011) + '\157' + chr(0b1100100) + chr(101))(chr(117) + chr(116) + '\146' + '\055' + chr(0b11101 + 0o33)) + AIvJRzLdDfgF
OBe_w5cyzaUc[zFczWct9_ojj] = LK3cpXJU3UM0
else:
OBe_w5cyzaUc[K3J4ZwSlE0sT] = QmmgWUB13VCJ
return OBe_w5cyzaUc
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/t2t_model.py
|
_unflatten_dict
|
def _unflatten_dict(flat_dict, prefixes):
"""Returns a dict of dicts if any prefixes match keys in the flat dict.
The function handles the case where the prefix may not be a dict.
Args:
flat_dict: A dict without any nesting.
prefixes: A list of strings which may have been dicts in the
original structure.
"""
original_dict = {}
for key, value in flat_dict.items():
prefix_found = False
for prefix in prefixes:
full_prefix = "__" + prefix + "_"
if key.startswith(full_prefix):
# Add a dict to the original dict with key=prefix
if prefix not in original_dict:
original_dict[prefix] = {}
original_dict[prefix][key[len(full_prefix):]] = value
prefix_found = True
break
if not prefix_found:
# No key matched a prefix in the for loop.
original_dict[key] = value
return original_dict
|
python
|
def _unflatten_dict(flat_dict, prefixes):
"""Returns a dict of dicts if any prefixes match keys in the flat dict.
The function handles the case where the prefix may not be a dict.
Args:
flat_dict: A dict without any nesting.
prefixes: A list of strings which may have been dicts in the
original structure.
"""
original_dict = {}
for key, value in flat_dict.items():
prefix_found = False
for prefix in prefixes:
full_prefix = "__" + prefix + "_"
if key.startswith(full_prefix):
# Add a dict to the original dict with key=prefix
if prefix not in original_dict:
original_dict[prefix] = {}
original_dict[prefix][key[len(full_prefix):]] = value
prefix_found = True
break
if not prefix_found:
# No key matched a prefix in the for loop.
original_dict[key] = value
return original_dict
|
[
"def",
"_unflatten_dict",
"(",
"flat_dict",
",",
"prefixes",
")",
":",
"original_dict",
"=",
"{",
"}",
"for",
"key",
",",
"value",
"in",
"flat_dict",
".",
"items",
"(",
")",
":",
"prefix_found",
"=",
"False",
"for",
"prefix",
"in",
"prefixes",
":",
"full_prefix",
"=",
"\"__\"",
"+",
"prefix",
"+",
"\"_\"",
"if",
"key",
".",
"startswith",
"(",
"full_prefix",
")",
":",
"# Add a dict to the original dict with key=prefix",
"if",
"prefix",
"not",
"in",
"original_dict",
":",
"original_dict",
"[",
"prefix",
"]",
"=",
"{",
"}",
"original_dict",
"[",
"prefix",
"]",
"[",
"key",
"[",
"len",
"(",
"full_prefix",
")",
":",
"]",
"]",
"=",
"value",
"prefix_found",
"=",
"True",
"break",
"if",
"not",
"prefix_found",
":",
"# No key matched a prefix in the for loop.",
"original_dict",
"[",
"key",
"]",
"=",
"value",
"return",
"original_dict"
] |
Returns a dict of dicts if any prefixes match keys in the flat dict.
The function handles the case where the prefix may not be a dict.
Args:
flat_dict: A dict without any nesting.
prefixes: A list of strings which may have been dicts in the
original structure.
|
[
"Returns",
"a",
"dict",
"of",
"dicts",
"if",
"any",
"prefixes",
"match",
"keys",
"in",
"the",
"flat",
"dict",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/t2t_model.py#L90-L117
|
train
|
Unflattens a dict of dicts if any prefixes match keys in the flat 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(chr(48) + chr(0b100001 + 0o116) + chr(0b110001) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(2376 - 2326) + chr(1973 - 1925) + chr(0b1101 + 0o44), 51456 - 51448), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(51) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(8166 - 8055) + '\065' + chr(51), 18960 - 18952), ehT0Px3KOsy9('\x30' + chr(8342 - 8231) + '\x31' + chr(51) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + '\062' + chr(50) + chr(50), 25805 - 25797), ehT0Px3KOsy9(chr(48) + chr(10907 - 10796) + chr(0b110101) + chr(0b1111 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x33' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b100100 + 0o21) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7945 - 7834) + '\062' + chr(0b110011) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\062' + chr(0b11000 + 0o35), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(2270 - 2221) + chr(52) + chr(0b100 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1075 - 964) + '\062' + chr(0b110101), 1514 - 1506), ehT0Px3KOsy9('\060' + chr(1506 - 1395) + chr(0b1000 + 0o51) + chr(48) + '\x35', 17859 - 17851), ehT0Px3KOsy9(chr(48) + chr(9866 - 9755) + chr(0b11101 + 0o26) + chr(50) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110111) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(10045 - 9934) + chr(1214 - 1164) + chr(2607 - 2554) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(2771 - 2660) + chr(50) + '\x32' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\062', 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + '\x31' + chr(51) + chr(0b10 + 0o64), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b110110) + chr(2058 - 2008), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110101) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(50) + chr(0b110110), 2023 - 2015), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100001 + 0o22) + chr(0b110011) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + chr(790 - 741) + chr(52) + '\065', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(1796 - 1745) + '\066', 17778 - 17770), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b11 + 0o62) + '\065', 20339 - 20331), ehT0Px3KOsy9(chr(775 - 727) + chr(919 - 808) + chr(0b110001) + chr(0b110101) + chr(51), 41482 - 41474), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1000101 + 0o52) + '\067', 8606 - 8598), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(54) + chr(51), 0o10), ehT0Px3KOsy9(chr(2196 - 2148) + '\x6f' + chr(2248 - 2198) + chr(1056 - 1006) + chr(2191 - 2143), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10011 + 0o36) + '\x31' + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(6306 - 6195) + chr(0b110011) + chr(0b110111) + '\063', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\x30' + chr(53), 21218 - 21210), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(1051 - 1002) + chr(0b110000) + chr(338 - 284), 2020 - 2012), ehT0Px3KOsy9(chr(1442 - 1394) + chr(0b1101111) + '\x32' + chr(0b110011) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1364 - 1315), 8), ehT0Px3KOsy9(chr(2025 - 1977) + chr(0b1101111) + '\x31' + chr(1487 - 1437) + chr(0b110011 + 0o0), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1001 + 0o52) + '\x32' + '\x32', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(0b10001 + 0o44) + chr(48), 59049 - 59041)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b"'"), '\144' + chr(0b1100100 + 0o1) + chr(0b1100011) + chr(0b10000 + 0o137) + chr(100) + chr(0b11011 + 0o112))(chr(0b1110101) + chr(0b1110100) + chr(874 - 772) + chr(0b1100 + 0o41) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def yipBBMg3U4hK(OBe_w5cyzaUc, duSVRgX0v2Qv):
qwWZZcJ5LhbT = {}
for (K3J4ZwSlE0sT, QmmgWUB13VCJ) in xafqLlk3kkUe(OBe_w5cyzaUc, xafqLlk3kkUe(SXOLrMavuUCe(b'G\xfb+N\x11\xc8\x19\x12\xc5\xc8I\xec'), chr(0b1100100) + chr(9971 - 9870) + chr(0b1011101 + 0o6) + chr(111) + chr(0b11011 + 0o111) + chr(2796 - 2695))(chr(1548 - 1431) + chr(0b1110100) + chr(0b111010 + 0o54) + chr(0b11011 + 0o22) + chr(0b111000)))():
tphINCNFsCa9 = ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + '\060', 35490 - 35482)
for K1Ha0XjJTAE7 in duSVRgX0v2Qv:
peoOd7BgZSFZ = xafqLlk3kkUe(SXOLrMavuUCe(b'V\xde'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(6352 - 6241) + chr(0b10001 + 0o123) + '\x65')('\165' + chr(6298 - 6182) + '\x66' + chr(45) + chr(0b111000)) + K1Ha0XjJTAE7 + xafqLlk3kkUe(SXOLrMavuUCe(b'V'), chr(100) + chr(0b1010 + 0o133) + chr(8637 - 8538) + chr(111) + chr(0b1010 + 0o132) + chr(0b1001100 + 0o31))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(345 - 300) + '\070')
if xafqLlk3kkUe(K3J4ZwSlE0sT, xafqLlk3kkUe(SXOLrMavuUCe(b'z\xf5<Y,\xe1]2\xdd\xf3'), chr(0b1100100) + chr(0b1100101) + chr(8386 - 8287) + chr(2772 - 2661) + chr(100) + '\x65')(chr(7467 - 7350) + chr(0b1011 + 0o151) + chr(0b1100110) + chr(1431 - 1386) + chr(0b111000)))(peoOd7BgZSFZ):
if K1Ha0XjJTAE7 not in qwWZZcJ5LhbT:
qwWZZcJ5LhbT[K1Ha0XjJTAE7] = {}
qwWZZcJ5LhbT[K1Ha0XjJTAE7][K3J4ZwSlE0sT[c2A0yzQpDQB3(peoOd7BgZSFZ):]] = QmmgWUB13VCJ
tphINCNFsCa9 = ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + chr(0b100001 + 0o20), 8)
break
if not tphINCNFsCa9:
qwWZZcJ5LhbT[K3J4ZwSlE0sT] = QmmgWUB13VCJ
return qwWZZcJ5LhbT
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/t2t_model.py
|
create_dummy_vars
|
def create_dummy_vars():
"""Dummy vars for restore to work when not using TPU codepath."""
var_names = set([v.name for v in tf.global_variables()])
if "losses_avg/problem_0/total_loss:0" in var_names:
return
with tf.variable_scope("losses_avg"):
with tf.variable_scope("problem_0"):
for var_name in ["total", "extra", "training"]:
tf.get_variable(
"%s_loss" % var_name, initializer=100.0, trainable=False)
with tf.variable_scope("train_stats"):
tf.get_variable("problem_0_steps", initializer=0, trainable=False)
|
python
|
def create_dummy_vars():
"""Dummy vars for restore to work when not using TPU codepath."""
var_names = set([v.name for v in tf.global_variables()])
if "losses_avg/problem_0/total_loss:0" in var_names:
return
with tf.variable_scope("losses_avg"):
with tf.variable_scope("problem_0"):
for var_name in ["total", "extra", "training"]:
tf.get_variable(
"%s_loss" % var_name, initializer=100.0, trainable=False)
with tf.variable_scope("train_stats"):
tf.get_variable("problem_0_steps", initializer=0, trainable=False)
|
[
"def",
"create_dummy_vars",
"(",
")",
":",
"var_names",
"=",
"set",
"(",
"[",
"v",
".",
"name",
"for",
"v",
"in",
"tf",
".",
"global_variables",
"(",
")",
"]",
")",
"if",
"\"losses_avg/problem_0/total_loss:0\"",
"in",
"var_names",
":",
"return",
"with",
"tf",
".",
"variable_scope",
"(",
"\"losses_avg\"",
")",
":",
"with",
"tf",
".",
"variable_scope",
"(",
"\"problem_0\"",
")",
":",
"for",
"var_name",
"in",
"[",
"\"total\"",
",",
"\"extra\"",
",",
"\"training\"",
"]",
":",
"tf",
".",
"get_variable",
"(",
"\"%s_loss\"",
"%",
"var_name",
",",
"initializer",
"=",
"100.0",
",",
"trainable",
"=",
"False",
")",
"with",
"tf",
".",
"variable_scope",
"(",
"\"train_stats\"",
")",
":",
"tf",
".",
"get_variable",
"(",
"\"problem_0_steps\"",
",",
"initializer",
"=",
"0",
",",
"trainable",
"=",
"False",
")"
] |
Dummy vars for restore to work when not using TPU codepath.
|
[
"Dummy",
"vars",
"for",
"restore",
"to",
"work",
"when",
"not",
"using",
"TPU",
"codepath",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/t2t_model.py#L1916-L1927
|
train
|
Dummy vars for restore to work when not using TPU codepath.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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) + '\x32' + '\066' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + '\063' + chr(0b10001 + 0o40) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1010 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\066' + chr(0b110110), 58533 - 58525), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110010) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + chr(0b110010) + chr(0b110011) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + '\062' + '\065' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + '\062' + '\x36' + '\x33', 29183 - 29175), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(0b110011) + '\065' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(8856 - 8745) + '\x33' + chr(0b1111 + 0o41) + chr(0b1101 + 0o47), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(0b110011) + chr(0b100111 + 0o13) + '\061', 0o10), ehT0Px3KOsy9(chr(1459 - 1411) + '\x6f' + chr(0b11111 + 0o24) + '\x36' + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(2155 - 2105) + '\062' + chr(1681 - 1627), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b110 + 0o53) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(0b110100) + '\064', 23625 - 23617), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11101 + 0o26) + chr(1851 - 1800) + chr(0b101101 + 0o5), 0o10), ehT0Px3KOsy9('\x30' + chr(5417 - 5306) + chr(0b110001) + '\062' + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11010 + 0o125) + chr(0b100100 + 0o15) + chr(0b10010 + 0o44), 0b1000), ehT0Px3KOsy9(chr(1680 - 1632) + chr(0b1101111) + chr(50) + chr(1940 - 1890), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b110111) + chr(0b110101), 39142 - 39134), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(177 - 128) + chr(0b11101 + 0o31) + chr(1761 - 1711), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\067' + chr(51), 49514 - 49506), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b110000) + chr(1519 - 1464), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b110000) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\061' + '\x34', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010 + 0o145) + chr(0b1101 + 0o46) + chr(0b1001 + 0o51), 0b1000), ehT0Px3KOsy9(chr(796 - 748) + chr(0b1000111 + 0o50) + chr(49) + '\x31' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6594 - 6483) + chr(0b0 + 0o63) + '\066' + chr(0b110001), 40497 - 40489), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(55) + '\065', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11010 + 0o30) + '\x36' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(194 - 143) + '\065' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b11110 + 0o25) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\065' + chr(0b11111 + 0o21), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1467 - 1416) + '\065' + chr(2153 - 2101), 47187 - 47179), ehT0Px3KOsy9(chr(48) + chr(3874 - 3763) + chr(2480 - 2430) + chr(0b10101 + 0o34) + chr(89 - 41), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9976 - 9865) + chr(0b100 + 0o57) + '\x30' + chr(0b110100), 8), ehT0Px3KOsy9('\x30' + chr(6878 - 6767) + chr(0b1110 + 0o44) + chr(253 - 198) + '\x31', 51861 - 51853), ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + '\061' + chr(55) + '\x35', 57020 - 57012), ehT0Px3KOsy9(chr(0b110000) + chr(9307 - 9196) + chr(2128 - 2074) + '\x34', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + chr(53) + chr(0b10101 + 0o33), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c'), chr(126 - 26) + '\145' + chr(2719 - 2620) + '\157' + chr(0b111001 + 0o53) + '\x65')(chr(117) + chr(0b11001 + 0o133) + chr(2565 - 2463) + chr(0b100100 + 0o11) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gT2F0ANO6vb6():
EysAsalGE41v = MVEN8G6CxlvR([cMbll0QYhULo.AIvJRzLdDfgF for cMbll0QYhULo in IDJ2eXGCBCDu.global_variables()])
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xa0wE\xb0\xe8\xf0\xd2\x9f\xa3\xfe\x80\xe4%\xc6\xb65cM\xcd]\xcf\xe83\xadzE%\x9e\x8e\xc7\xd0\xa8'), chr(100) + '\145' + '\x63' + chr(0b1100001 + 0o16) + chr(5262 - 5162) + chr(101))(chr(117) + '\164' + chr(10340 - 10238) + chr(45) + chr(0b111000)) in EysAsalGE41v:
return
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\xaev_\xb4\xf9\xc3\xd6\xb6\xb7\xb2\x9f\xe6/'), chr(6278 - 6178) + '\145' + chr(179 - 80) + '\157' + chr(100) + chr(0b10001 + 0o124))('\165' + '\164' + chr(0b1100101 + 0o1) + chr(1616 - 1571) + chr(0b0 + 0o70)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xa0wE\xb0\xe8\xf0\xd2\x9f\xa3'), chr(0b10 + 0o142) + '\145' + chr(99) + chr(1349 - 1238) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b10111 + 0o135) + chr(0b1 + 0o145) + chr(45) + chr(2382 - 2326))):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\xaev_\xb4\xf9\xc3\xd6\xb6\xb7\xb2\x9f\xe6/'), '\x64' + chr(101) + chr(99) + chr(111) + chr(100) + chr(101))(chr(0b1110101) + chr(116) + chr(0b10111 + 0o117) + chr(0b100111 + 0o6) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xbdkT\xb9\xfe\xc2\xec\xd9'), '\144' + chr(0b1100101) + chr(0b1010000 + 0o23) + chr(0b1101111) + chr(0b11100 + 0o110) + chr(869 - 768))(chr(117) + '\164' + '\x66' + chr(45) + chr(0b101010 + 0o16))):
for rh85H97CENf3 in [xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xa0pW\xb9'), chr(100) + chr(0b1100101) + '\x63' + '\x6f' + chr(100) + chr(8714 - 8613))(chr(2232 - 2115) + '\x74' + chr(0b110110 + 0o60) + chr(363 - 318) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\xb7pD\xb4'), '\144' + chr(101) + chr(0b1000101 + 0o36) + chr(0b1010000 + 0o37) + chr(0b1100100) + '\145')(chr(0b1011110 + 0o27) + chr(116) + chr(8209 - 8107) + chr(45) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xbde_\xbb\xf2\xc1\xd4'), chr(100) + chr(2198 - 2097) + '\143' + '\x6f' + chr(100) + chr(6199 - 6098))(chr(117) + '\x74' + '\146' + chr(0b10011 + 0o32) + chr(760 - 704))]:
xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\xaapi\xa3\xfa\xdd\xda\x88\xa6\xbd\x95'), chr(4045 - 3945) + chr(101) + chr(99) + chr(0b110101 + 0o72) + '\144' + chr(0b1100101))(chr(117) + '\x74' + chr(102) + '\x2d' + chr(0b110100 + 0o4)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\xbc[Z\xba\xe8\xdc'), chr(100) + chr(8864 - 8763) + chr(99) + chr(0b1011011 + 0o24) + chr(5528 - 5428) + chr(0b1100101))(chr(5789 - 5672) + chr(116) + '\x66' + chr(290 - 245) + '\x38') % rh85H97CENf3, initializer=100.0, trainable=ehT0Px3KOsy9('\060' + chr(0b1101111) + '\060', 50441 - 50433))
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\xaev_\xb4\xf9\xc3\xd6\xb6\xb7\xb2\x9f\xe6/'), '\144' + chr(101) + '\143' + '\x6f' + '\x64' + '\x65')(chr(0b1110101) + '\164' + '\146' + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xbde_\xbb\xc4\xdc\xc7\x88\xb0\xa2'), '\144' + chr(0b1100101) + chr(5626 - 5527) + '\x6f' + '\x64' + chr(101))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(2181 - 2125))):
xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\xaapi\xa3\xfa\xdd\xda\x88\xa6\xbd\x95'), '\x64' + '\x65' + '\x63' + chr(0b1000010 + 0o55) + chr(0b1100100) + chr(101))(chr(6157 - 6040) + chr(0b1110100) + '\x66' + chr(1140 - 1095) + chr(128 - 72)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xbdkT\xb9\xfe\xc2\xec\xd9\x9b\xa2\x84\xf3:\xd7'), chr(0b1100100) + chr(0b1 + 0o144) + chr(0b111000 + 0o53) + chr(111) + '\x64' + '\x65')('\x75' + '\164' + chr(0b110011 + 0o63) + chr(0b100001 + 0o14) + '\070'), initializer=ehT0Px3KOsy9('\060' + chr(12012 - 11901) + chr(2159 - 2111), 8), trainable=ehT0Px3KOsy9(chr(48) + chr(0b1000001 + 0o56) + chr(2191 - 2143), 8))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/t2t_model.py
|
create_tpu_eval_metrics_fn
|
def create_tpu_eval_metrics_fn(problem, model_hparams):
"""Create the metrics_fn that TPUEstimatorSpec expects."""
metric_fns = []
eval_metrics = problem.eval_metric_fns(model_hparams)
tm = _create_target_modality(problem.get_hparams(model_hparams).modality)
if isinstance(tm, dict):
for k, v in six.iteritems(tm):
weights_fn = modalities.get_weights_fn(v)
def make_metric_fn(metric_fn):
def wrapped_metric_fn(logits, labels, features, weights_fn=weights_fn):
kwargs = {}
args, _, keywords, _ = inspect.getargspec(metric_fn)
if ("features" in args) or keywords:
kwargs["features"] = features
num, den = metric_fn(logits, labels, weights_fn=weights_fn, **kwargs)
return tf.metrics.mean(num, den)
return wrapped_metric_fn
for metric, metric_fn in six.iteritems(eval_metrics):
if metric in TPU_METRIC_BLACKLIST:
log_warn("Skipping eval metric %s in TPU_METRIC_BLACKLIST", metric)
continue
name = "%s/metrics-%s/%s" % (k, problem.name, metric)
metric_fns.append((name, make_metric_fn(metric_fn)))
else:
weights_fn = modalities.get_weights_fn(tm)
def make_metric_fn(metric_fn):
def wrapped_metric_fn(logits, labels, features):
kwargs = {}
args, _, keywords, _ = inspect.getargspec(metric_fn)
if ("features" in args) or keywords:
kwargs["features"] = features
num, den = metric_fn(logits, labels, weights_fn=weights_fn, **kwargs)
return tf.metrics.mean(num, den)
return wrapped_metric_fn
for metric, metric_fn in six.iteritems(eval_metrics):
if metric in TPU_METRIC_BLACKLIST:
log_warn("Skipping eval metric %s in TPU_METRIC_BLACKLIST", metric)
continue
name = "metrics-%s/%s" % (problem.name, metric)
metric_fns.append((name, make_metric_fn(metric_fn)))
def all_metrics_fn(**kwargs):
"""Construct metrics dictionary."""
original_kwargs = _unflatten_dict(kwargs, prefixes=["logits", "features"])
del kwargs
logits = original_kwargs["logits"]
labels = original_kwargs["labels"]
features = original_kwargs["features"]
del original_kwargs
metrics_dict = {}
for name, fn in metric_fns:
if isinstance(logits, dict) and isinstance(labels, dict):
for k, v in six.iteritems(logits):
metrics_dict["%s/%s" % (k, name)] = fn(v, labels[k], features)
elif isinstance(logits, dict):
tf.logging.warning("Logits is a dict, but labels is not; only "
"evaluating logits['targets'] against labels.")
metrics_dict["%s/%s" % ("targets", name)] = fn(logits["targets"],
labels, features)
else:
metrics_dict[name] = fn(logits, labels, features)
return metrics_dict
return all_metrics_fn
|
python
|
def create_tpu_eval_metrics_fn(problem, model_hparams):
"""Create the metrics_fn that TPUEstimatorSpec expects."""
metric_fns = []
eval_metrics = problem.eval_metric_fns(model_hparams)
tm = _create_target_modality(problem.get_hparams(model_hparams).modality)
if isinstance(tm, dict):
for k, v in six.iteritems(tm):
weights_fn = modalities.get_weights_fn(v)
def make_metric_fn(metric_fn):
def wrapped_metric_fn(logits, labels, features, weights_fn=weights_fn):
kwargs = {}
args, _, keywords, _ = inspect.getargspec(metric_fn)
if ("features" in args) or keywords:
kwargs["features"] = features
num, den = metric_fn(logits, labels, weights_fn=weights_fn, **kwargs)
return tf.metrics.mean(num, den)
return wrapped_metric_fn
for metric, metric_fn in six.iteritems(eval_metrics):
if metric in TPU_METRIC_BLACKLIST:
log_warn("Skipping eval metric %s in TPU_METRIC_BLACKLIST", metric)
continue
name = "%s/metrics-%s/%s" % (k, problem.name, metric)
metric_fns.append((name, make_metric_fn(metric_fn)))
else:
weights_fn = modalities.get_weights_fn(tm)
def make_metric_fn(metric_fn):
def wrapped_metric_fn(logits, labels, features):
kwargs = {}
args, _, keywords, _ = inspect.getargspec(metric_fn)
if ("features" in args) or keywords:
kwargs["features"] = features
num, den = metric_fn(logits, labels, weights_fn=weights_fn, **kwargs)
return tf.metrics.mean(num, den)
return wrapped_metric_fn
for metric, metric_fn in six.iteritems(eval_metrics):
if metric in TPU_METRIC_BLACKLIST:
log_warn("Skipping eval metric %s in TPU_METRIC_BLACKLIST", metric)
continue
name = "metrics-%s/%s" % (problem.name, metric)
metric_fns.append((name, make_metric_fn(metric_fn)))
def all_metrics_fn(**kwargs):
"""Construct metrics dictionary."""
original_kwargs = _unflatten_dict(kwargs, prefixes=["logits", "features"])
del kwargs
logits = original_kwargs["logits"]
labels = original_kwargs["labels"]
features = original_kwargs["features"]
del original_kwargs
metrics_dict = {}
for name, fn in metric_fns:
if isinstance(logits, dict) and isinstance(labels, dict):
for k, v in six.iteritems(logits):
metrics_dict["%s/%s" % (k, name)] = fn(v, labels[k], features)
elif isinstance(logits, dict):
tf.logging.warning("Logits is a dict, but labels is not; only "
"evaluating logits['targets'] against labels.")
metrics_dict["%s/%s" % ("targets", name)] = fn(logits["targets"],
labels, features)
else:
metrics_dict[name] = fn(logits, labels, features)
return metrics_dict
return all_metrics_fn
|
[
"def",
"create_tpu_eval_metrics_fn",
"(",
"problem",
",",
"model_hparams",
")",
":",
"metric_fns",
"=",
"[",
"]",
"eval_metrics",
"=",
"problem",
".",
"eval_metric_fns",
"(",
"model_hparams",
")",
"tm",
"=",
"_create_target_modality",
"(",
"problem",
".",
"get_hparams",
"(",
"model_hparams",
")",
".",
"modality",
")",
"if",
"isinstance",
"(",
"tm",
",",
"dict",
")",
":",
"for",
"k",
",",
"v",
"in",
"six",
".",
"iteritems",
"(",
"tm",
")",
":",
"weights_fn",
"=",
"modalities",
".",
"get_weights_fn",
"(",
"v",
")",
"def",
"make_metric_fn",
"(",
"metric_fn",
")",
":",
"def",
"wrapped_metric_fn",
"(",
"logits",
",",
"labels",
",",
"features",
",",
"weights_fn",
"=",
"weights_fn",
")",
":",
"kwargs",
"=",
"{",
"}",
"args",
",",
"_",
",",
"keywords",
",",
"_",
"=",
"inspect",
".",
"getargspec",
"(",
"metric_fn",
")",
"if",
"(",
"\"features\"",
"in",
"args",
")",
"or",
"keywords",
":",
"kwargs",
"[",
"\"features\"",
"]",
"=",
"features",
"num",
",",
"den",
"=",
"metric_fn",
"(",
"logits",
",",
"labels",
",",
"weights_fn",
"=",
"weights_fn",
",",
"*",
"*",
"kwargs",
")",
"return",
"tf",
".",
"metrics",
".",
"mean",
"(",
"num",
",",
"den",
")",
"return",
"wrapped_metric_fn",
"for",
"metric",
",",
"metric_fn",
"in",
"six",
".",
"iteritems",
"(",
"eval_metrics",
")",
":",
"if",
"metric",
"in",
"TPU_METRIC_BLACKLIST",
":",
"log_warn",
"(",
"\"Skipping eval metric %s in TPU_METRIC_BLACKLIST\"",
",",
"metric",
")",
"continue",
"name",
"=",
"\"%s/metrics-%s/%s\"",
"%",
"(",
"k",
",",
"problem",
".",
"name",
",",
"metric",
")",
"metric_fns",
".",
"append",
"(",
"(",
"name",
",",
"make_metric_fn",
"(",
"metric_fn",
")",
")",
")",
"else",
":",
"weights_fn",
"=",
"modalities",
".",
"get_weights_fn",
"(",
"tm",
")",
"def",
"make_metric_fn",
"(",
"metric_fn",
")",
":",
"def",
"wrapped_metric_fn",
"(",
"logits",
",",
"labels",
",",
"features",
")",
":",
"kwargs",
"=",
"{",
"}",
"args",
",",
"_",
",",
"keywords",
",",
"_",
"=",
"inspect",
".",
"getargspec",
"(",
"metric_fn",
")",
"if",
"(",
"\"features\"",
"in",
"args",
")",
"or",
"keywords",
":",
"kwargs",
"[",
"\"features\"",
"]",
"=",
"features",
"num",
",",
"den",
"=",
"metric_fn",
"(",
"logits",
",",
"labels",
",",
"weights_fn",
"=",
"weights_fn",
",",
"*",
"*",
"kwargs",
")",
"return",
"tf",
".",
"metrics",
".",
"mean",
"(",
"num",
",",
"den",
")",
"return",
"wrapped_metric_fn",
"for",
"metric",
",",
"metric_fn",
"in",
"six",
".",
"iteritems",
"(",
"eval_metrics",
")",
":",
"if",
"metric",
"in",
"TPU_METRIC_BLACKLIST",
":",
"log_warn",
"(",
"\"Skipping eval metric %s in TPU_METRIC_BLACKLIST\"",
",",
"metric",
")",
"continue",
"name",
"=",
"\"metrics-%s/%s\"",
"%",
"(",
"problem",
".",
"name",
",",
"metric",
")",
"metric_fns",
".",
"append",
"(",
"(",
"name",
",",
"make_metric_fn",
"(",
"metric_fn",
")",
")",
")",
"def",
"all_metrics_fn",
"(",
"*",
"*",
"kwargs",
")",
":",
"\"\"\"Construct metrics dictionary.\"\"\"",
"original_kwargs",
"=",
"_unflatten_dict",
"(",
"kwargs",
",",
"prefixes",
"=",
"[",
"\"logits\"",
",",
"\"features\"",
"]",
")",
"del",
"kwargs",
"logits",
"=",
"original_kwargs",
"[",
"\"logits\"",
"]",
"labels",
"=",
"original_kwargs",
"[",
"\"labels\"",
"]",
"features",
"=",
"original_kwargs",
"[",
"\"features\"",
"]",
"del",
"original_kwargs",
"metrics_dict",
"=",
"{",
"}",
"for",
"name",
",",
"fn",
"in",
"metric_fns",
":",
"if",
"isinstance",
"(",
"logits",
",",
"dict",
")",
"and",
"isinstance",
"(",
"labels",
",",
"dict",
")",
":",
"for",
"k",
",",
"v",
"in",
"six",
".",
"iteritems",
"(",
"logits",
")",
":",
"metrics_dict",
"[",
"\"%s/%s\"",
"%",
"(",
"k",
",",
"name",
")",
"]",
"=",
"fn",
"(",
"v",
",",
"labels",
"[",
"k",
"]",
",",
"features",
")",
"elif",
"isinstance",
"(",
"logits",
",",
"dict",
")",
":",
"tf",
".",
"logging",
".",
"warning",
"(",
"\"Logits is a dict, but labels is not; only \"",
"\"evaluating logits['targets'] against labels.\"",
")",
"metrics_dict",
"[",
"\"%s/%s\"",
"%",
"(",
"\"targets\"",
",",
"name",
")",
"]",
"=",
"fn",
"(",
"logits",
"[",
"\"targets\"",
"]",
",",
"labels",
",",
"features",
")",
"else",
":",
"metrics_dict",
"[",
"name",
"]",
"=",
"fn",
"(",
"logits",
",",
"labels",
",",
"features",
")",
"return",
"metrics_dict",
"return",
"all_metrics_fn"
] |
Create the metrics_fn that TPUEstimatorSpec expects.
|
[
"Create",
"the",
"metrics_fn",
"that",
"TPUEstimatorSpec",
"expects",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/t2t_model.py#L1939-L2015
|
train
|
Create the metrics_fn that TPUEstimatorSpec expects.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b1110 + 0o45) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + chr(760 - 707) + chr(0b100100 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\062' + '\067', 42426 - 42418), ehT0Px3KOsy9('\060' + chr(2922 - 2811) + chr(0b110111), 34731 - 34723), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(2116 - 2005) + chr(0b101101 + 0o10) + chr(0b100011 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + chr(693 - 644) + '\x31' + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + '\062' + chr(50) + chr(48), 33720 - 33712), ehT0Px3KOsy9(chr(48) + chr(11413 - 11302) + chr(1334 - 1283) + '\061' + chr(1380 - 1329), 0o10), ehT0Px3KOsy9('\x30' + chr(7860 - 7749) + chr(0b110011) + '\066' + chr(0b11010 + 0o34), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(54) + '\064', 0b1000), ehT0Px3KOsy9(chr(1016 - 968) + chr(0b1001010 + 0o45) + '\x33' + chr(53) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10101 + 0o40) + chr(0b11111 + 0o30), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101111 + 0o100) + chr(0b110001) + chr(0b110000) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(8409 - 8298) + '\061' + chr(55) + chr(0b100001 + 0o20), 38654 - 38646), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(2199 - 2088) + chr(0b101 + 0o54) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(7243 - 7132) + chr(50) + chr(50) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101 + 0o54) + chr(2125 - 2073), 45161 - 45153), ehT0Px3KOsy9(chr(827 - 779) + chr(0b1010011 + 0o34) + '\063' + '\x35' + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + chr(272 - 219) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b1100 + 0o47) + '\x30' + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + chr(1232 - 1181) + '\063' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(473 - 422) + chr(0b101 + 0o62) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b111 + 0o54) + chr(0b101010 + 0o14) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b10 + 0o65) + chr(2393 - 2344), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(51) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b101011 + 0o5) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1584 - 1533) + chr(2337 - 2286) + '\x34', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(4893 - 4782) + chr(0b110011) + chr(0b110010) + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1316 - 1266) + chr(1003 - 951) + chr(0b11010 + 0o33), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b1111 + 0o42) + '\x33' + '\x32', 0o10), ehT0Px3KOsy9(chr(2088 - 2040) + '\157' + '\061' + '\065' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b10100 + 0o40) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(622 - 573) + '\x32' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(400 - 352) + chr(0b1101111) + '\067', 8), ehT0Px3KOsy9(chr(0b110000) + chr(4276 - 4165) + '\x33' + chr(0b11011 + 0o34) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1859 - 1811) + '\x6f' + '\061' + '\065' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1001010 + 0o45) + '\063' + chr(0b101110 + 0o5), 4115 - 4107), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(6286 - 6175) + '\x33' + chr(0b1111 + 0o45) + chr(51), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b110011 + 0o74) + chr(318 - 265) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'0'), '\x64' + '\x65' + chr(0b1000 + 0o133) + chr(10014 - 9903) + chr(100) + '\x65')('\165' + chr(0b111011 + 0o71) + chr(102) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def pzG_7F0eMX6Y(sO7e1A_Mor6Q, tq24Tk6UZ6u1):
Uc4uBbW4aU0j = []
gEY30c7K0x8W = sO7e1A_Mor6Q.eval_metric_fns(tq24Tk6UZ6u1)
eRf9A2XUYmmp = sg60tMitsGCm(sO7e1A_Mor6Q.get_hparams(tq24Tk6UZ6u1).bYPswhysd3s2)
if PlSM16l2KDPD(eRf9A2XUYmmp, wLqBDw8l0eIm):
for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'wZ2uE:\xf5\xa6\x85'), chr(100) + '\145' + '\x63' + chr(7556 - 7445) + chr(100) + chr(0b1100101))(chr(0b1101000 + 0o15) + chr(116) + chr(9574 - 9472) + chr(0b101101) + chr(2122 - 2066)))(eRf9A2XUYmmp):
Pdbc6Q2jZ4RQ = PuPeNl0CuqOQ.get_weights_fn(cMbll0QYhULo)
def u_mE1e22VJF9(sncLXYohINcs):
def _k1yEbg9HCQ4(wF9nmvjsKjYM, uXMK81tmdpTM, EEf4r9nUvta_, Pdbc6Q2jZ4RQ=Pdbc6Q2jZ4RQ):
M8EIoTs2GJXE = {}
(kJDRfRhcZHjS, VNGQdHSFPrso, MvnGvXXUveIv, VNGQdHSFPrso) = kzXqv8ZZwm75.getargspec(sncLXYohINcs)
if xafqLlk3kkUe(SXOLrMavuUCe(b'xK6sY<\xf5\xb8'), '\144' + chr(101) + chr(4202 - 4103) + chr(111) + chr(0b1000000 + 0o44) + chr(6373 - 6272))(chr(13413 - 13296) + '\x74' + chr(5918 - 5816) + chr(0b100111 + 0o6) + chr(0b111000)) in kJDRfRhcZHjS or MvnGvXXUveIv:
M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'xK6sY<\xf5\xb8'), chr(3862 - 3762) + chr(101) + '\x63' + chr(0b1101111) + '\144' + '\145')(chr(4813 - 4696) + chr(0b101011 + 0o111) + '\146' + chr(0b10010 + 0o33) + chr(0b111000))] = EEf4r9nUvta_
(jFuGPhnxN9fq, fcUz5Oj87IEH) = sncLXYohINcs(wF9nmvjsKjYM, uXMK81tmdpTM, weights_fn=Pdbc6Q2jZ4RQ, **M8EIoTs2GJXE)
return xafqLlk3kkUe(IDJ2eXGCBCDu.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7fd?NX\r\xcf\x9d\x97C\x85X'), chr(100) + chr(101) + chr(0b1111 + 0o124) + chr(6769 - 6658) + chr(0b100100 + 0o100) + chr(2793 - 2692))('\165' + chr(0b1110100) + chr(0b1010110 + 0o20) + chr(1358 - 1313) + '\070'))(jFuGPhnxN9fq, fcUz5Oj87IEH)
return _k1yEbg9HCQ4
for (UyTbk4dY9zDl, sncLXYohINcs) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'wZ2uE:\xf5\xa6\x85'), chr(100) + '\145' + '\x63' + chr(10120 - 10009) + chr(0b1100100) + '\145')('\165' + '\164' + chr(0b1100110) + '\x2d' + '\070'))(gEY30c7K0x8W):
if UyTbk4dY9zDl in vs_0lpuxGeKX:
DyguQXdCse_Q(xafqLlk3kkUe(SXOLrMavuUCe(b"ME>w\\'\xfe\xac\xd6Q\x9fN)Yd\xf2v~\x80K\xe3\xf9\x8f\xd7\xd01\xe1\x88L\x82\xfa\x17*\xb7\x03N\xbd2Y\xaf_m\x1cKe\x1d\xc4"), chr(100) + chr(0b1000001 + 0o44) + chr(0b1100011) + '\157' + chr(100) + chr(5429 - 5328))(chr(6056 - 5939) + '\164' + chr(0b1100110) + '\x2d' + '\070'), UyTbk4dY9zDl)
continue
AIvJRzLdDfgF = xafqLlk3kkUe(SXOLrMavuUCe(b';]xjI:\xe2\xa2\x95G\xc4\n6V,\xe4'), chr(0b1001010 + 0o32) + '\x65' + chr(0b1100011) + chr(0b111 + 0o150) + chr(100) + chr(0b1010000 + 0o25))('\x75' + chr(9441 - 9325) + chr(102) + chr(1088 - 1043) + chr(0b10010 + 0o46)) % (OolUPRJhRaJd, sO7e1A_Mor6Q.AIvJRzLdDfgF, UyTbk4dY9zDl)
xafqLlk3kkUe(Uc4uBbW4aU0j, xafqLlk3kkUe(SXOLrMavuUCe(b"\x7f^'bB*"), chr(3636 - 3536) + '\x65' + chr(0b1100 + 0o127) + chr(111) + chr(100) + chr(0b1100101))(chr(0b100000 + 0o125) + chr(0b110000 + 0o104) + '\146' + '\x2d' + chr(985 - 929)))((AIvJRzLdDfgF, u_mE1e22VJF9(sncLXYohINcs)))
else:
Pdbc6Q2jZ4RQ = PuPeNl0CuqOQ.get_weights_fn(eRf9A2XUYmmp)
def u_mE1e22VJF9(sncLXYohINcs):
def _k1yEbg9HCQ4(wF9nmvjsKjYM, uXMK81tmdpTM, EEf4r9nUvta_):
M8EIoTs2GJXE = {}
(kJDRfRhcZHjS, VNGQdHSFPrso, MvnGvXXUveIv, VNGQdHSFPrso) = kzXqv8ZZwm75.getargspec(sncLXYohINcs)
if xafqLlk3kkUe(SXOLrMavuUCe(b'xK6sY<\xf5\xb8'), chr(3237 - 3137) + '\145' + '\143' + '\x6f' + chr(0b1000011 + 0o41) + chr(0b1100101))(chr(117) + chr(2709 - 2593) + '\146' + chr(0b101101) + chr(0b111000)) in kJDRfRhcZHjS or MvnGvXXUveIv:
M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'xK6sY<\xf5\xb8'), '\x64' + '\145' + '\x63' + chr(1503 - 1392) + '\144' + chr(0b11101 + 0o110))(chr(3909 - 3792) + '\x74' + chr(102) + chr(0b10101 + 0o30) + '\x38')] = EEf4r9nUvta_
(jFuGPhnxN9fq, fcUz5Oj87IEH) = sncLXYohINcs(wF9nmvjsKjYM, uXMK81tmdpTM, weights_fn=Pdbc6Q2jZ4RQ, **M8EIoTs2GJXE)
return xafqLlk3kkUe(IDJ2eXGCBCDu.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7fd?NX\r\xcf\x9d\x97C\x85X'), '\144' + '\x65' + chr(0b100111 + 0o74) + chr(0b1101111) + chr(3517 - 3417) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(8162 - 8060) + chr(45) + chr(56)))(jFuGPhnxN9fq, fcUz5Oj87IEH)
return _k1yEbg9HCQ4
for (UyTbk4dY9zDl, sncLXYohINcs) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'wZ2uE:\xf5\xa6\x85'), '\144' + '\145' + '\143' + chr(0b1101111) + chr(0b111001 + 0o53) + chr(0b1100101))('\165' + '\x74' + '\x66' + chr(45) + '\x38'))(gEY30c7K0x8W):
if UyTbk4dY9zDl in vs_0lpuxGeKX:
DyguQXdCse_Q(xafqLlk3kkUe(SXOLrMavuUCe(b"ME>w\\'\xfe\xac\xd6Q\x9fN)Yd\xf2v~\x80K\xe3\xf9\x8f\xd7\xd01\xe1\x88L\x82\xfa\x17*\xb7\x03N\xbd2Y\xaf_m\x1cKe\x1d\xc4"), chr(0b1100100) + chr(101) + '\143' + chr(0b11 + 0o154) + chr(0b101011 + 0o71) + chr(101))('\165' + chr(0b1110100) + chr(5798 - 5696) + chr(45) + chr(0b100111 + 0o21)), UyTbk4dY9zDl)
continue
AIvJRzLdDfgF = xafqLlk3kkUe(SXOLrMavuUCe(b'sK#uE-\xe3\xe6\xd3G\xc6\n6'), chr(0b101 + 0o137) + '\x65' + chr(0b100011 + 0o100) + chr(0b1101111) + chr(0b1000 + 0o134) + '\145')('\165' + chr(116) + chr(7979 - 7877) + chr(0b101101) + chr(2765 - 2709)) % (sO7e1A_Mor6Q.AIvJRzLdDfgF, UyTbk4dY9zDl)
xafqLlk3kkUe(Uc4uBbW4aU0j, xafqLlk3kkUe(SXOLrMavuUCe(b"\x7f^'bB*"), '\144' + chr(0b1111 + 0o126) + '\x63' + '\x6f' + '\x64' + '\x65')(chr(0b1110101) + chr(0b110101 + 0o77) + '\146' + chr(1327 - 1282) + '\x38'))((AIvJRzLdDfgF, u_mE1e22VJF9(sncLXYohINcs)))
def T4fUGXhjUmKW(**M8EIoTs2GJXE):
PU_fKVoZBgFb = yipBBMg3U4hK(M8EIoTs2GJXE, prefixes=[xafqLlk3kkUe(SXOLrMavuUCe(b'rA0nX='), chr(100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(100) + chr(101))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b11 + 0o65)), xafqLlk3kkUe(SXOLrMavuUCe(b'xK6sY<\xf5\xb8'), chr(3004 - 2904) + chr(0b100011 + 0o102) + chr(0b111000 + 0o53) + chr(7591 - 7480) + chr(0b1100100) + '\x65')(chr(0b1011010 + 0o33) + chr(0b1110100 + 0o0) + '\146' + chr(45) + '\070')])
del M8EIoTs2GJXE
wF9nmvjsKjYM = PU_fKVoZBgFb[xafqLlk3kkUe(SXOLrMavuUCe(b'rA0nX='), '\x64' + chr(0b1100101) + chr(0b11000 + 0o113) + '\x6f' + chr(100) + chr(101))(chr(0b1110101) + '\x74' + chr(1211 - 1109) + '\x2d' + '\x38')]
uXMK81tmdpTM = PU_fKVoZBgFb[xafqLlk3kkUe(SXOLrMavuUCe(b'rO5b@='), '\x64' + chr(101) + '\x63' + '\x6f' + chr(0b1100100) + chr(0b11110 + 0o107))(chr(117) + '\164' + '\x66' + '\055' + '\070')]
EEf4r9nUvta_ = PU_fKVoZBgFb[xafqLlk3kkUe(SXOLrMavuUCe(b'xK6sY<\xf5\xb8'), chr(9852 - 9752) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\144' + chr(101))('\165' + chr(0b1110100) + '\x66' + chr(0b101101) + '\x38')]
del PU_fKVoZBgFb
Q1bID_xtpFpR = {}
for (AIvJRzLdDfgF, wDsB9Ho570J9) in Uc4uBbW4aU0j:
if PlSM16l2KDPD(wF9nmvjsKjYM, wLqBDw8l0eIm) and PlSM16l2KDPD(uXMK81tmdpTM, wLqBDw8l0eIm):
for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'wZ2uE:\xf5\xa6\x85'), chr(4114 - 4014) + chr(0b1010110 + 0o17) + chr(0b1100011) + chr(0b10101 + 0o132) + chr(100) + chr(0b1100101))(chr(7761 - 7644) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b100001 + 0o27)))(wF9nmvjsKjYM):
Q1bID_xtpFpR[xafqLlk3kkUe(SXOLrMavuUCe(b';]x"_'), '\x64' + chr(0b1100101) + chr(0b1000110 + 0o35) + chr(0b1010110 + 0o31) + '\144' + chr(101))('\x75' + '\x74' + chr(0b1100110) + '\x2d' + chr(0b101111 + 0o11)) % (OolUPRJhRaJd, AIvJRzLdDfgF)] = wDsB9Ho570J9(cMbll0QYhULo, uXMK81tmdpTM[OolUPRJhRaJd], EEf4r9nUvta_)
elif PlSM16l2KDPD(wF9nmvjsKjYM, wLqBDw8l0eIm):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'iO%iE \xf7'), '\144' + '\x65' + chr(99) + chr(1213 - 1102) + chr(3550 - 3450) + chr(406 - 305))(chr(9203 - 9086) + '\164' + chr(5899 - 5797) + '\x2d' + chr(2085 - 2029)))(xafqLlk3kkUe(SXOLrMavuUCe(b'RA0nX=\xb0\xa2\x85\x14\x88\x0f!\x10j\xe3.,\x8b]\xb7\xfc\x90\x96\xdb:\xad\xaf<\xbe\xd6z\x01\x8c%<\xde\x02u\x8fg\x0e2qM"\xe5\xaa\x82]\x87He\x15f\xf0kx\x9as\xe4\xa8\x9d\x85\xde:\xb5\xaf;\x8a\x85;\x08\x828i\x8d\x19;\x8f\x7fL2k_`'), chr(100) + chr(1411 - 1310) + chr(1914 - 1815) + chr(111) + chr(0b101011 + 0o71) + '\x65')(chr(0b1110101) + chr(8353 - 8237) + '\146' + '\055' + chr(1758 - 1702)))
Q1bID_xtpFpR[xafqLlk3kkUe(SXOLrMavuUCe(b';]x"_'), chr(0b110011 + 0o61) + chr(0b1100101) + chr(99) + chr(111) + '\x64' + '\145')(chr(0b101001 + 0o114) + '\164' + chr(0b100010 + 0o104) + chr(45) + chr(0b111000)) % (xafqLlk3kkUe(SXOLrMavuUCe(b'jO%`I:\xe3'), '\144' + chr(0b111110 + 0o47) + chr(828 - 729) + '\x6f' + chr(0b1100100) + '\x65')(chr(7250 - 7133) + '\x74' + chr(0b1010000 + 0o26) + chr(0b100100 + 0o11) + chr(2189 - 2133)), AIvJRzLdDfgF)] = wDsB9Ho570J9(wF9nmvjsKjYM[xafqLlk3kkUe(SXOLrMavuUCe(b'jO%`I:\xe3'), '\x64' + chr(101) + '\143' + chr(0b110000 + 0o77) + chr(0b1100100) + chr(0b111000 + 0o55))('\165' + chr(116) + '\x66' + chr(88 - 43) + chr(56))], uXMK81tmdpTM, EEf4r9nUvta_)
else:
Q1bID_xtpFpR[AIvJRzLdDfgF] = wDsB9Ho570J9(wF9nmvjsKjYM, uXMK81tmdpTM, EEf4r9nUvta_)
return Q1bID_xtpFpR
return T4fUGXhjUmKW
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/t2t_model.py
|
remove_summaries
|
def remove_summaries():
"""Remove summaries from the default graph."""
g = tf.get_default_graph()
key = tf.GraphKeys.SUMMARIES
log_debug("Remove summaries %s" % str(g.get_collection(key)))
del g.get_collection_ref(key)[:]
assert not g.get_collection(key)
|
python
|
def remove_summaries():
"""Remove summaries from the default graph."""
g = tf.get_default_graph()
key = tf.GraphKeys.SUMMARIES
log_debug("Remove summaries %s" % str(g.get_collection(key)))
del g.get_collection_ref(key)[:]
assert not g.get_collection(key)
|
[
"def",
"remove_summaries",
"(",
")",
":",
"g",
"=",
"tf",
".",
"get_default_graph",
"(",
")",
"key",
"=",
"tf",
".",
"GraphKeys",
".",
"SUMMARIES",
"log_debug",
"(",
"\"Remove summaries %s\"",
"%",
"str",
"(",
"g",
".",
"get_collection",
"(",
"key",
")",
")",
")",
"del",
"g",
".",
"get_collection_ref",
"(",
"key",
")",
"[",
":",
"]",
"assert",
"not",
"g",
".",
"get_collection",
"(",
"key",
")"
] |
Remove summaries from the default graph.
|
[
"Remove",
"summaries",
"from",
"the",
"default",
"graph",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/t2t_model.py#L2018-L2024
|
train
|
Removes summaries from the default graph.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\064' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(9513 - 9402) + chr(1933 - 1884) + chr(48) + chr(0b100001 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1581 - 1529) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(0b10 + 0o62), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1000 + 0o52) + chr(53) + chr(2368 - 2318), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10100 + 0o36) + chr(55), 11272 - 11264), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1 + 0o62) + '\060' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011 + 0o0) + chr(54) + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(0b100010 + 0o115) + chr(1068 - 1019) + chr(0b100101 + 0o17) + chr(54), 29963 - 29955), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(7770 - 7659) + chr(0b100100 + 0o16) + chr(1598 - 1544) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(5790 - 5679) + '\x33' + '\x36' + chr(0b100101 + 0o14), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x34' + chr(0b110110), 47674 - 47666), ehT0Px3KOsy9(chr(1711 - 1663) + chr(111) + chr(400 - 349) + chr(0b110001 + 0o2), 41024 - 41016), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1139 - 1089) + chr(0b110001) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + '\x32' + chr(50), 63712 - 63704), ehT0Px3KOsy9(chr(1094 - 1046) + '\x6f' + '\x32' + chr(0b101111 + 0o4) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100001 + 0o22) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\061' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1318 - 1270) + chr(0b110011 + 0o74) + chr(0b110 + 0o56), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(0b110011) + '\061' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\063' + '\x35', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(52), 8), ehT0Px3KOsy9('\060' + chr(5710 - 5599) + '\x32' + chr(0b100010 + 0o22) + chr(446 - 391), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b100100 + 0o17) + chr(0b110100) + chr(1191 - 1138), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(53) + chr(0b1001 + 0o50), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + '\x32' + chr(0b110001) + chr(0b10011 + 0o35), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x33' + chr(0b110010), 32719 - 32711), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2390 - 2339) + chr(0b110101) + chr(0b110110), 52884 - 52876), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + chr(709 - 659), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\x31' + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(824 - 773) + chr(2795 - 2742) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(1598 - 1547) + chr(0b10 + 0o65), 19261 - 19253), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + '\062' + '\x34' + chr(0b110000 + 0o7), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(2145 - 2093), 55866 - 55858), ehT0Px3KOsy9('\x30' + chr(0b1011001 + 0o26) + chr(55) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10574 - 10463) + '\x33' + '\x33' + '\x36', 30957 - 30949), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b101000 + 0o17) + chr(52), 0o10), ehT0Px3KOsy9(chr(459 - 411) + chr(4951 - 4840) + chr(0b110111) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(51) + chr(49) + chr(0b110101), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(0b10000 + 0o40), 21469 - 21461)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e'), chr(100) + chr(0b101000 + 0o75) + '\x63' + '\157' + chr(0b1100100) + chr(7229 - 7128))('\x75' + chr(116) + chr(0b1011110 + 0o10) + chr(572 - 527) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VDFLnc5FoR6Y():
RWHpzFEeviFP = IDJ2eXGCBCDu.r65BlV_ohviI()
K3J4ZwSlE0sT = IDJ2eXGCBCDu.GraphKeys.SUMMARIES
YwoIgJLS8SvI(xafqLlk3kkUe(SXOLrMavuUCe(b'r$Jk\xdcr\xe3\x82\x13\xdc\x9cGi\xe1w\xef?jw'), '\144' + '\145' + '\x63' + chr(111) + '\x64' + chr(101))(chr(6095 - 5978) + chr(0b1000101 + 0o57) + '\x66' + chr(45) + '\070') % M8_cKLkHVB2V(xafqLlk3kkUe(RWHpzFEeviFP, xafqLlk3kkUe(SXOLrMavuUCe(b'G$S[\xc9x\xaf\x9d\x03\xd2\x85Ot\xe6'), '\144' + '\145' + chr(8849 - 8750) + chr(0b1101111) + chr(5133 - 5033) + '\x65')(chr(0b1100 + 0o151) + chr(0b1110100) + chr(0b1001010 + 0o34) + '\055' + '\070'))(K3J4ZwSlE0sT)))
del xafqLlk3kkUe(RWHpzFEeviFP, xafqLlk3kkUe(SXOLrMavuUCe(b'G$S[\xc9x\xaf\x9d\x03\xd2\x85Ot\xe6M\xeez)'), chr(0b1011 + 0o131) + '\x65' + '\143' + '\157' + chr(0b1100100) + chr(0b100111 + 0o76))('\165' + '\164' + '\x66' + '\055' + chr(1483 - 1427)))(K3J4ZwSlE0sT)[:]
assert not xafqLlk3kkUe(RWHpzFEeviFP, xafqLlk3kkUe(SXOLrMavuUCe(b'G$S[\xc9x\xaf\x9d\x03\xd2\x85Ot\xe6'), chr(9124 - 9024) + '\145' + chr(0b100101 + 0o76) + '\157' + '\x64' + '\x65')(chr(10773 - 10656) + '\164' + '\x66' + '\055' + chr(0b111000)))(K3J4ZwSlE0sT)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/t2t_model.py
|
create_host_call
|
def create_host_call(model_dir):
"""Construct a host_call writing scalar summaries.
Args:
model_dir: String containing path to train
Returns:
(fn, args) Pair to be called by TPUEstimator as the host_call.
"""
graph = tf.get_default_graph()
summaries = graph.get_collection(tf.GraphKeys.SUMMARIES)
gs_t = tf.reshape(tf.to_int32(tf.train.get_global_step()), [1])
summary_kwargs = collections.OrderedDict()
for t in summaries:
# TODO(aidangomez): enable ImageSummary support when we have a faster method
# see @shibow's comment in cl/202344570
if t.op.type not in ["ScalarSummary"]:
tf.logging.warn("Ignoring unsupported tf.Summary type %s" % t.op.type)
continue
name = t.op.name
tensor = t.op.inputs[1]
if t.op.type == "ScalarSummary":
assert tensor.shape.is_compatible_with([])
if tensor.dtype == tf.int64:
tensor = tf.to_int32(tensor)
summary_kwargs["ScalarSummary" + name] = tf.reshape(tensor, [1])
elif t.op.type == "ImageSummary":
# TODO(aidangomez): as we move to support more types, update
# common_layers.tpu_safe_image_summary
if tensor.dtype != tf.float32:
tf.logging.warn(
"Currently T2T on TPU only supports ImageSummary of "
"tf.float32-type Tensors. Skipping Tensor "
"%s with dtype %s..." % (tensor.name, tensor.dtype))
continue
# tensor = tf.to_float(tensor)
summary_kwargs["ImageSummary" + name] = tensor
# When no supported summaries are found, don't create host_call. Otherwise,
# TPU outfeed queue would enqueue global_step while host_call doesn't dequeue
# it, eventually causing hang.
if not summary_kwargs:
return None
summary_kwargs["global_step"] = gs_t
log_info("summary_kwargs %s" % str(summary_kwargs))
def host_call_fn(**kwargs):
"""Training host call. Creates summaries for training metrics.
Args:
**kwargs: Dict of {str: Tensor} , with `Tensor` of shape `[batch]`. Must
contain key "global_step" with value of current global_step Tensor.
Returns:
List of summary ops to run on the CPU host.
"""
gs = tf.to_int64(kwargs.pop("global_step")[0])
with tf.contrib.summary.create_file_writer(model_dir).as_default():
with tf.contrib.summary.always_record_summaries():
# We need to use tf.contrib.summary in order to feed the `step`.
for name, value in sorted(six.iteritems(kwargs)):
if name.startswith("ScalarSummary"):
name = name[len("ScalarSummary"):]
tf.contrib.summary.scalar(
name, tf.reduce_mean(tf.to_float(value)), step=gs)
elif name.startswith("ImageSummary"):
name = name[len("ImageSummary"):]
tf.contrib.summary.image(name, value, step=gs)
return tf.contrib.summary.all_summary_ops()
return (host_call_fn, summary_kwargs)
|
python
|
def create_host_call(model_dir):
"""Construct a host_call writing scalar summaries.
Args:
model_dir: String containing path to train
Returns:
(fn, args) Pair to be called by TPUEstimator as the host_call.
"""
graph = tf.get_default_graph()
summaries = graph.get_collection(tf.GraphKeys.SUMMARIES)
gs_t = tf.reshape(tf.to_int32(tf.train.get_global_step()), [1])
summary_kwargs = collections.OrderedDict()
for t in summaries:
# TODO(aidangomez): enable ImageSummary support when we have a faster method
# see @shibow's comment in cl/202344570
if t.op.type not in ["ScalarSummary"]:
tf.logging.warn("Ignoring unsupported tf.Summary type %s" % t.op.type)
continue
name = t.op.name
tensor = t.op.inputs[1]
if t.op.type == "ScalarSummary":
assert tensor.shape.is_compatible_with([])
if tensor.dtype == tf.int64:
tensor = tf.to_int32(tensor)
summary_kwargs["ScalarSummary" + name] = tf.reshape(tensor, [1])
elif t.op.type == "ImageSummary":
# TODO(aidangomez): as we move to support more types, update
# common_layers.tpu_safe_image_summary
if tensor.dtype != tf.float32:
tf.logging.warn(
"Currently T2T on TPU only supports ImageSummary of "
"tf.float32-type Tensors. Skipping Tensor "
"%s with dtype %s..." % (tensor.name, tensor.dtype))
continue
# tensor = tf.to_float(tensor)
summary_kwargs["ImageSummary" + name] = tensor
# When no supported summaries are found, don't create host_call. Otherwise,
# TPU outfeed queue would enqueue global_step while host_call doesn't dequeue
# it, eventually causing hang.
if not summary_kwargs:
return None
summary_kwargs["global_step"] = gs_t
log_info("summary_kwargs %s" % str(summary_kwargs))
def host_call_fn(**kwargs):
"""Training host call. Creates summaries for training metrics.
Args:
**kwargs: Dict of {str: Tensor} , with `Tensor` of shape `[batch]`. Must
contain key "global_step" with value of current global_step Tensor.
Returns:
List of summary ops to run on the CPU host.
"""
gs = tf.to_int64(kwargs.pop("global_step")[0])
with tf.contrib.summary.create_file_writer(model_dir).as_default():
with tf.contrib.summary.always_record_summaries():
# We need to use tf.contrib.summary in order to feed the `step`.
for name, value in sorted(six.iteritems(kwargs)):
if name.startswith("ScalarSummary"):
name = name[len("ScalarSummary"):]
tf.contrib.summary.scalar(
name, tf.reduce_mean(tf.to_float(value)), step=gs)
elif name.startswith("ImageSummary"):
name = name[len("ImageSummary"):]
tf.contrib.summary.image(name, value, step=gs)
return tf.contrib.summary.all_summary_ops()
return (host_call_fn, summary_kwargs)
|
[
"def",
"create_host_call",
"(",
"model_dir",
")",
":",
"graph",
"=",
"tf",
".",
"get_default_graph",
"(",
")",
"summaries",
"=",
"graph",
".",
"get_collection",
"(",
"tf",
".",
"GraphKeys",
".",
"SUMMARIES",
")",
"gs_t",
"=",
"tf",
".",
"reshape",
"(",
"tf",
".",
"to_int32",
"(",
"tf",
".",
"train",
".",
"get_global_step",
"(",
")",
")",
",",
"[",
"1",
"]",
")",
"summary_kwargs",
"=",
"collections",
".",
"OrderedDict",
"(",
")",
"for",
"t",
"in",
"summaries",
":",
"# TODO(aidangomez): enable ImageSummary support when we have a faster method",
"# see @shibow's comment in cl/202344570",
"if",
"t",
".",
"op",
".",
"type",
"not",
"in",
"[",
"\"ScalarSummary\"",
"]",
":",
"tf",
".",
"logging",
".",
"warn",
"(",
"\"Ignoring unsupported tf.Summary type %s\"",
"%",
"t",
".",
"op",
".",
"type",
")",
"continue",
"name",
"=",
"t",
".",
"op",
".",
"name",
"tensor",
"=",
"t",
".",
"op",
".",
"inputs",
"[",
"1",
"]",
"if",
"t",
".",
"op",
".",
"type",
"==",
"\"ScalarSummary\"",
":",
"assert",
"tensor",
".",
"shape",
".",
"is_compatible_with",
"(",
"[",
"]",
")",
"if",
"tensor",
".",
"dtype",
"==",
"tf",
".",
"int64",
":",
"tensor",
"=",
"tf",
".",
"to_int32",
"(",
"tensor",
")",
"summary_kwargs",
"[",
"\"ScalarSummary\"",
"+",
"name",
"]",
"=",
"tf",
".",
"reshape",
"(",
"tensor",
",",
"[",
"1",
"]",
")",
"elif",
"t",
".",
"op",
".",
"type",
"==",
"\"ImageSummary\"",
":",
"# TODO(aidangomez): as we move to support more types, update",
"# common_layers.tpu_safe_image_summary",
"if",
"tensor",
".",
"dtype",
"!=",
"tf",
".",
"float32",
":",
"tf",
".",
"logging",
".",
"warn",
"(",
"\"Currently T2T on TPU only supports ImageSummary of \"",
"\"tf.float32-type Tensors. Skipping Tensor \"",
"\"%s with dtype %s...\"",
"%",
"(",
"tensor",
".",
"name",
",",
"tensor",
".",
"dtype",
")",
")",
"continue",
"# tensor = tf.to_float(tensor)",
"summary_kwargs",
"[",
"\"ImageSummary\"",
"+",
"name",
"]",
"=",
"tensor",
"# When no supported summaries are found, don't create host_call. Otherwise,",
"# TPU outfeed queue would enqueue global_step while host_call doesn't dequeue",
"# it, eventually causing hang.",
"if",
"not",
"summary_kwargs",
":",
"return",
"None",
"summary_kwargs",
"[",
"\"global_step\"",
"]",
"=",
"gs_t",
"log_info",
"(",
"\"summary_kwargs %s\"",
"%",
"str",
"(",
"summary_kwargs",
")",
")",
"def",
"host_call_fn",
"(",
"*",
"*",
"kwargs",
")",
":",
"\"\"\"Training host call. Creates summaries for training metrics.\n\n Args:\n **kwargs: Dict of {str: Tensor} , with `Tensor` of shape `[batch]`. Must\n contain key \"global_step\" with value of current global_step Tensor.\n\n Returns:\n List of summary ops to run on the CPU host.\n \"\"\"",
"gs",
"=",
"tf",
".",
"to_int64",
"(",
"kwargs",
".",
"pop",
"(",
"\"global_step\"",
")",
"[",
"0",
"]",
")",
"with",
"tf",
".",
"contrib",
".",
"summary",
".",
"create_file_writer",
"(",
"model_dir",
")",
".",
"as_default",
"(",
")",
":",
"with",
"tf",
".",
"contrib",
".",
"summary",
".",
"always_record_summaries",
"(",
")",
":",
"# We need to use tf.contrib.summary in order to feed the `step`.",
"for",
"name",
",",
"value",
"in",
"sorted",
"(",
"six",
".",
"iteritems",
"(",
"kwargs",
")",
")",
":",
"if",
"name",
".",
"startswith",
"(",
"\"ScalarSummary\"",
")",
":",
"name",
"=",
"name",
"[",
"len",
"(",
"\"ScalarSummary\"",
")",
":",
"]",
"tf",
".",
"contrib",
".",
"summary",
".",
"scalar",
"(",
"name",
",",
"tf",
".",
"reduce_mean",
"(",
"tf",
".",
"to_float",
"(",
"value",
")",
")",
",",
"step",
"=",
"gs",
")",
"elif",
"name",
".",
"startswith",
"(",
"\"ImageSummary\"",
")",
":",
"name",
"=",
"name",
"[",
"len",
"(",
"\"ImageSummary\"",
")",
":",
"]",
"tf",
".",
"contrib",
".",
"summary",
".",
"image",
"(",
"name",
",",
"value",
",",
"step",
"=",
"gs",
")",
"return",
"tf",
".",
"contrib",
".",
"summary",
".",
"all_summary_ops",
"(",
")",
"return",
"(",
"host_call_fn",
",",
"summary_kwargs",
")"
] |
Construct a host_call writing scalar summaries.
Args:
model_dir: String containing path to train
Returns:
(fn, args) Pair to be called by TPUEstimator as the host_call.
|
[
"Construct",
"a",
"host_call",
"writing",
"scalar",
"summaries",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/t2t_model.py#L2027-L2098
|
train
|
Construct a host_call writing scalar summaries.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b101001 + 0o106) + '\x32' + '\060', 0o10), ehT0Px3KOsy9(chr(630 - 582) + chr(0b100010 + 0o115) + chr(0b100010 + 0o21) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101100 + 0o6) + '\x37' + '\x32', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1840 - 1790), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6290 - 6179) + chr(0b11000 + 0o33) + chr(0b100000 + 0o26) + '\063', 36861 - 36853), ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + chr(594 - 545) + chr(0b110100) + chr(723 - 668), 0o10), ehT0Px3KOsy9(chr(1424 - 1376) + chr(0b100101 + 0o112) + chr(0b10111 + 0o40) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7327 - 7216) + chr(0b10001 + 0o40) + chr(0b110110) + chr(0b1011 + 0o47), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\064' + '\067', 0o10), ehT0Px3KOsy9(chr(312 - 264) + '\x6f' + chr(2312 - 2261) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1694 - 1646) + chr(10045 - 9934) + chr(0b101101 + 0o6) + chr(1875 - 1820) + '\x31', 54698 - 54690), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(0b1011 + 0o50) + '\x34' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1875 - 1827) + chr(0b1101111) + chr(49) + '\066' + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(235 - 185) + chr(53), 63343 - 63335), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1011011 + 0o24) + chr(0b101011 + 0o7) + '\x34' + chr(55), 8), ehT0Px3KOsy9('\x30' + chr(10846 - 10735) + '\x33' + '\x30' + chr(0b100 + 0o57), 0b1000), ehT0Px3KOsy9('\060' + chr(6426 - 6315) + chr(0b110001) + chr(50) + '\067', 44049 - 44041), ehT0Px3KOsy9('\060' + chr(7769 - 7658) + '\062' + chr(0b110101) + '\x33', 3207 - 3199), ehT0Px3KOsy9(chr(754 - 706) + chr(0b1101 + 0o142) + '\x31' + chr(55) + chr(2109 - 2057), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(53) + '\061', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\062' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(0b110001) + chr(0b110111) + chr(0b101101 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + '\061' + chr(50) + '\x37', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\060' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101110 + 0o1) + '\x31' + chr(50) + '\062', 10581 - 10573), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(586 - 537) + chr(0b110101) + chr(2162 - 2111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100111 + 0o10) + chr(330 - 281) + chr(0b110110) + chr(53), 0o10), ehT0Px3KOsy9(chr(1879 - 1831) + '\157' + '\x33' + chr(2103 - 2052) + '\x33', 0b1000), ehT0Px3KOsy9(chr(161 - 113) + chr(0b1101111) + chr(383 - 334) + chr(0b10 + 0o57) + '\066', 6286 - 6278), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(49) + chr(428 - 378) + chr(1758 - 1706), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(10090 - 9979) + '\063' + '\x32' + chr(49), 21392 - 21384), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\060' + chr(0b110 + 0o56), 0o10), ehT0Px3KOsy9('\x30' + chr(7552 - 7441) + '\061' + chr(1103 - 1055) + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(1191 - 1080) + '\061' + '\061' + chr(55), 55694 - 55686), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(48) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(50) + chr(2045 - 1993) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(376 - 327) + '\065', 21872 - 21864), ehT0Px3KOsy9(chr(682 - 634) + chr(0b1101111) + chr(50), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b10 + 0o63) + chr(0b100110 + 0o13), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1647 - 1599) + '\x6f' + '\065' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'>'), '\x64' + '\x65' + chr(99) + chr(111) + chr(0b1100001 + 0o3) + chr(101))(chr(0b1110101) + chr(0b101001 + 0o113) + '\x66' + chr(626 - 581) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zPVepPsWuzmH(kwWCbiWUCezq):
H9yw8tZKkKME = IDJ2eXGCBCDu.r65BlV_ohviI()
Ss61w8pBYeZH = H9yw8tZKkKME.get_collection(IDJ2eXGCBCDu.GraphKeys.SUMMARIES)
VKx4P9U6Q2u5 = IDJ2eXGCBCDu.reshape(IDJ2eXGCBCDu.to_int32(IDJ2eXGCBCDu.train.get_global_step()), [ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + chr(49), ord("\x08"))])
Kjzu2nyOpsUj = FGhnnwoh1Dd8.OrderedDict()
for YeT3l7JgTbWR in Ss61w8pBYeZH:
if xafqLlk3kkUe(YeT3l7JgTbWR.op, xafqLlk3kkUe(SXOLrMavuUCe(b'gq\xebo\x8a\x02m0\xcaM\x89\x96'), chr(100) + chr(101) + chr(0b1001111 + 0o24) + '\157' + chr(0b1011011 + 0o11) + chr(6351 - 6250))(chr(0b1100011 + 0o22) + chr(0b1110100) + '\x66' + chr(0b101101) + '\x38')) not in [xafqLlk3kkUe(SXOLrMavuUCe(b'C\x7f\xdbn\x92\x15i\x07\xcau\x98\x92\t'), '\x64' + '\145' + chr(4418 - 4319) + '\157' + '\144' + '\145')(chr(0b1110101) + '\164' + '\146' + '\055' + chr(56))]:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'~X\xffl\xbd%[\x10\xe1V\xb2\x8d'), chr(100) + chr(101) + '\x63' + chr(11415 - 11304) + '\144' + chr(101))('\165' + chr(116) + chr(0b1100110) + chr(1297 - 1252) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b"Y{\xd4m\x81\x0eT\x15\x87m\x97\x93\x05\xe5\xd7\xac%\xdf\x19Mp\rey\xd0'\x06\x18\xba<-\xf1\xb0:?\xe7\x81(q"), '\x64' + chr(101) + chr(5761 - 5662) + '\x6f' + '\144' + chr(0b1011000 + 0o15))(chr(117) + chr(0b1110100) + '\146' + '\055' + '\x38') % xafqLlk3kkUe(YeT3l7JgTbWR.op, xafqLlk3kkUe(SXOLrMavuUCe(b'gq\xebo\x8a\x02m0\xcaM\x89\x96'), chr(6203 - 6103) + chr(6885 - 6784) + chr(0b101 + 0o136) + chr(111) + chr(0b110110 + 0o56) + chr(0b1100101))(chr(117) + '\x74' + chr(102) + '\x2d' + '\x38')))
continue
AIvJRzLdDfgF = YeT3l7JgTbWR.op.AIvJRzLdDfgF
LK3cpXJU3UM0 = YeT3l7JgTbWR.op.vXoupepMtCXU[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 8)]
if xafqLlk3kkUe(YeT3l7JgTbWR.op, xafqLlk3kkUe(SXOLrMavuUCe(b'gq\xebo\x8a\x02m0\xcaM\x89\x96'), '\144' + chr(7990 - 7889) + chr(5101 - 5002) + chr(111) + chr(615 - 515) + chr(0b11111 + 0o106))('\x75' + '\x74' + chr(7525 - 7423) + '\x2d' + '\x38')) == xafqLlk3kkUe(SXOLrMavuUCe(b'C\x7f\xdbn\x92\x15i\x07\xcau\x98\x92\t'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))('\165' + chr(116) + chr(102) + chr(0b101101) + chr(0b11111 + 0o31)):
assert xafqLlk3kkUe(LK3cpXJU3UM0.shape, xafqLlk3kkUe(SXOLrMavuUCe(b'yo\xe5a\x9c\nJ\x13\xd3q\x9b\x8c\x15\xca\xd0\xaa#\xc3'), chr(0b1100100) + chr(8671 - 8570) + chr(2406 - 2307) + chr(8127 - 8016) + '\144' + chr(0b1010001 + 0o24))(chr(0b1110101) + chr(116) + '\x66' + chr(0b101101) + '\x38'))([])
if xafqLlk3kkUe(LK3cpXJU3UM0, xafqLlk3kkUe(SXOLrMavuUCe(b'zO\xec;\xba,T\x17\xcaP\xce\xab'), chr(5480 - 5380) + chr(0b110100 + 0o61) + chr(0b10011 + 0o120) + chr(2187 - 2076) + '\144' + chr(0b1100101))('\165' + chr(0b100100 + 0o120) + chr(0b1100110) + chr(0b101101) + chr(0b101100 + 0o14))) == xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'yr\xce4\xc7'), '\144' + chr(0b1011111 + 0o6) + chr(0b1100011) + '\x6f' + chr(0b100 + 0o140) + chr(6582 - 6481))(chr(0b100001 + 0o124) + chr(0b101000 + 0o114) + '\146' + chr(0b10110 + 0o27) + chr(0b111000))):
LK3cpXJU3UM0 = IDJ2eXGCBCDu.to_int32(LK3cpXJU3UM0)
Kjzu2nyOpsUj[xafqLlk3kkUe(SXOLrMavuUCe(b'C\x7f\xdbn\x92\x15i\x07\xcau\x98\x92\t'), chr(100) + chr(7718 - 7617) + '\x63' + chr(0b101000 + 0o107) + chr(0b11001 + 0o113) + '\x65')('\165' + '\x74' + chr(6156 - 6054) + chr(0b100110 + 0o7) + '\070') + AIvJRzLdDfgF] = IDJ2eXGCBCDu.reshape(LK3cpXJU3UM0, [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061', 8)])
elif xafqLlk3kkUe(YeT3l7JgTbWR.op, xafqLlk3kkUe(SXOLrMavuUCe(b'gq\xebo\x8a\x02m0\xcaM\x89\x96'), chr(1815 - 1715) + chr(1923 - 1822) + '\143' + chr(0b100011 + 0o114) + chr(100) + '\145')(chr(117) + chr(116) + chr(5701 - 5599) + chr(45) + '\x38')) == xafqLlk3kkUe(SXOLrMavuUCe(b'Yq\xdbe\x964O\x1f\xcay\x8b\x99'), '\144' + '\x65' + '\143' + chr(11735 - 11624) + '\144' + chr(0b100101 + 0o100))(chr(0b1101010 + 0o13) + chr(0b1110100) + '\x66' + chr(0b11101 + 0o20) + chr(0b111000)):
if xafqLlk3kkUe(LK3cpXJU3UM0, xafqLlk3kkUe(SXOLrMavuUCe(b'zO\xec;\xba,T\x17\xcaP\xce\xab'), chr(0b111110 + 0o46) + chr(0b110010 + 0o63) + chr(0b111101 + 0o46) + chr(0b1101111) + chr(0b1100 + 0o130) + chr(0b10100 + 0o121))('\165' + chr(0b1110100) + '\146' + '\x2d' + chr(0b110110 + 0o2))) != xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'vp\xd5c\x87T\x08'), chr(0b1001110 + 0o26) + chr(101) + chr(9424 - 9325) + chr(0b1101111) + chr(6457 - 6357) + chr(7945 - 7844))(chr(0b1111 + 0o146) + chr(5275 - 5159) + chr(1352 - 1250) + chr(0b101101) + '\x38')):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'~X\xffl\xbd%[\x10\xe1V\xb2\x8d'), '\144' + '\x65' + chr(0b1100011) + '\157' + chr(6330 - 6230) + chr(0b0 + 0o145))('\x75' + '\164' + '\146' + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b"Si\xc8p\x96\tN\x1e\xde8\xad\xd2$\xb5\xc8\xadw\xff,|p\x16m;\xfar\x18\x00\xab>;\xa3\xb00o\xcb\xccle\x8cCi\xd7o\x92\x15CR\xc8~\xd9\x94\x16\xbb\xc1\xaf8\xca\x08\x1abTw.\xf37K!\xbe '\xbe\xb60a\xa2\xf2fk\x99`u\xd4e\xd33_\x1c\xd4w\x8b\xc0U\xe6\x87\xb4>\xdf\x14\t4\rz'\xe6rN\x06\xf5`z"), chr(100) + chr(0b1100101) + '\143' + chr(111) + chr(3199 - 3099) + '\145')(chr(0b1110101) + '\x74' + chr(102) + '\x2d' + chr(56)) % (xafqLlk3kkUe(LK3cpXJU3UM0, xafqLlk3kkUe(SXOLrMavuUCe(b'QU\xccH\xa1\x1dv\x16\xe3~\x9e\xa6'), chr(0b100101 + 0o77) + '\145' + chr(232 - 133) + chr(0b1101111) + chr(0b10011 + 0o121) + chr(0b1100101 + 0o0))(chr(619 - 502) + '\164' + chr(102) + chr(0b101101) + '\070')), xafqLlk3kkUe(LK3cpXJU3UM0, xafqLlk3kkUe(SXOLrMavuUCe(b'zO\xec;\xba,T\x17\xcaP\xce\xab'), '\144' + chr(7716 - 7615) + '\143' + '\157' + '\144' + chr(8050 - 7949))('\165' + '\x74' + chr(5678 - 5576) + '\055' + '\070'))))
continue
Kjzu2nyOpsUj[xafqLlk3kkUe(SXOLrMavuUCe(b'Yq\xdbe\x964O\x1f\xcay\x8b\x99'), chr(0b1000101 + 0o37) + '\145' + chr(0b1100011) + chr(111) + chr(0b1100100) + '\145')(chr(117) + chr(9841 - 9725) + '\x66' + '\x2d' + '\070') + AIvJRzLdDfgF] = LK3cpXJU3UM0
if not Kjzu2nyOpsUj:
return None
Kjzu2nyOpsUj[xafqLlk3kkUe(SXOLrMavuUCe(b'wp\xd5`\x92\x0be\x01\xd3}\x89'), '\x64' + chr(0b1100101) + chr(0b101001 + 0o72) + '\x6f' + chr(0b110011 + 0o61) + '\145')('\165' + chr(9659 - 9543) + chr(0b1100110) + chr(0b1110 + 0o37) + '\070')] = VKx4P9U6Q2u5
iBNBQu99lQEa(xafqLlk3kkUe(SXOLrMavuUCe(b'ci\xd7o\x92\x15C-\xcco\x98\x92\x17\xe6\x87\xe6$'), chr(0b100001 + 0o103) + chr(101) + chr(0b1100011) + '\x6f' + chr(4464 - 4364) + chr(0b1100101))('\x75' + chr(116) + '\146' + chr(45) + chr(0b100111 + 0o21)) % M8_cKLkHVB2V(Kjzu2nyOpsUj))
def bnWt8bAusfpn(**M8EIoTs2GJXE):
gae7UFz2w6XP = IDJ2eXGCBCDu.to_int64(M8EIoTs2GJXE.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'wp\xd5`\x92\x0be\x01\xd3}\x89'), chr(0b10010 + 0o122) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(5427 - 5327) + '\145')('\x75' + chr(0b1110100) + chr(6012 - 5910) + chr(0b101101) + '\070'))[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110000), 0b1000)])
with xafqLlk3kkUe(IDJ2eXGCBCDu.contrib.summary.create_file_writer(kwWCbiWUCezq), xafqLlk3kkUe(SXOLrMavuUCe(b'qo\xe5f\x96\x01[\x07\xcbl'), chr(0b1100100) + chr(0b10101 + 0o120) + chr(0b1100011) + chr(111) + chr(100) + '\x65')(chr(117) + '\164' + chr(8871 - 8769) + chr(45) + chr(1015 - 959)))():
with xafqLlk3kkUe(IDJ2eXGCBCDu.contrib.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'qp\xcdc\x8a\x14e\x00\xc2{\x96\x92\x14\xca\xd4\xb6:\xc6\x1d[9\x1cp'), chr(0b1100100) + chr(101) + '\x63' + '\157' + '\144' + chr(0b101011 + 0o72))(chr(0b1100001 + 0o24) + '\x74' + chr(0b1100110) + chr(422 - 377) + chr(0b111000)))():
for (AIvJRzLdDfgF, QmmgWUB13VCJ) in vUlqIvNSaRMa(xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'yh\xdfp\x9a\x13_\x1f\xd4'), '\144' + chr(2331 - 2230) + chr(99) + chr(0b1000111 + 0o50) + chr(0b1100100) + chr(101))(chr(117) + '\x74' + '\x66' + '\055' + chr(56)))(M8EIoTs2GJXE)):
if xafqLlk3kkUe(AIvJRzLdDfgF, xafqLlk3kkUe(SXOLrMavuUCe(b'ch\xdbp\x87\x14M\x1b\xd3p'), chr(0b1100000 + 0o4) + chr(101) + chr(0b1100011) + chr(8160 - 8049) + chr(6566 - 6466) + chr(0b1100101))(chr(0b100 + 0o161) + chr(116) + chr(0b1011110 + 0o10) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'C\x7f\xdbn\x92\x15i\x07\xcau\x98\x92\t'), chr(0b1100100) + chr(0b1100101) + chr(5039 - 4940) + chr(0b1101111) + '\x64' + '\x65')(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b10000 + 0o50))):
AIvJRzLdDfgF = AIvJRzLdDfgF[c2A0yzQpDQB3(xafqLlk3kkUe(SXOLrMavuUCe(b'C\x7f\xdbn\x92\x15i\x07\xcau\x98\x92\t'), chr(5440 - 5340) + chr(0b11100 + 0o111) + chr(99) + chr(111) + chr(0b1001011 + 0o31) + chr(0b1100101))(chr(117) + chr(0b110110 + 0o76) + chr(102) + chr(0b101101) + chr(0b111000))):]
xafqLlk3kkUe(IDJ2eXGCBCDu.contrib.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'c\x7f\xdbn\x92\x15'), chr(5161 - 5061) + chr(0b1100101) + chr(7812 - 7713) + chr(1947 - 1836) + chr(100) + chr(101))('\165' + chr(116) + chr(4125 - 4023) + chr(1049 - 1004) + '\x38'))(AIvJRzLdDfgF, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'by\xdew\x90\x02e\x1f\xc2y\x97'), chr(9190 - 9090) + '\145' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(5537 - 5436))(chr(0b1110101) + chr(11435 - 11319) + chr(102) + chr(1453 - 1408) + chr(0b111000)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'ds\xe5d\x9f\x08[\x06'), chr(100) + chr(101) + '\143' + chr(0b111110 + 0o61) + chr(100) + chr(101))('\x75' + '\x74' + chr(617 - 515) + chr(45) + chr(0b111000)))(QmmgWUB13VCJ)), step=gae7UFz2w6XP)
elif xafqLlk3kkUe(AIvJRzLdDfgF, xafqLlk3kkUe(SXOLrMavuUCe(b'ch\xdbp\x87\x14M\x1b\xd3p'), '\144' + chr(7657 - 7556) + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')('\165' + chr(0b1001111 + 0o45) + chr(102) + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'Yq\xdbe\x964O\x1f\xcay\x8b\x99'), chr(6347 - 6247) + chr(0b101011 + 0o72) + chr(99) + chr(12308 - 12197) + '\x64' + '\145')(chr(3802 - 3685) + chr(0b1010111 + 0o35) + '\x66' + chr(0b100111 + 0o6) + chr(56))):
AIvJRzLdDfgF = AIvJRzLdDfgF[c2A0yzQpDQB3(xafqLlk3kkUe(SXOLrMavuUCe(b'Yq\xdbe\x964O\x1f\xcay\x8b\x99'), chr(0b1100100) + '\x65' + '\143' + chr(0b1101111) + chr(0b1000100 + 0o40) + chr(0b111 + 0o136))(chr(0b11011 + 0o132) + '\x74' + chr(0b1100110) + chr(0b101011 + 0o2) + chr(56))):]
xafqLlk3kkUe(IDJ2eXGCBCDu.contrib.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'Yx\xd7C\xbb0\\1\xd6j\x97\x90'), '\x64' + chr(0b1100101) + chr(7624 - 7525) + chr(0b11101 + 0o122) + chr(6361 - 6261) + '\145')('\165' + '\164' + chr(0b1000011 + 0o43) + chr(45) + '\x38'))(AIvJRzLdDfgF, QmmgWUB13VCJ, step=gae7UFz2w6XP)
return xafqLlk3kkUe(IDJ2eXGCBCDu.contrib.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'qp\xd6]\x80\x12W\x1f\xc6j\x80\xbf\x1f\xe5\xd4'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b111010 + 0o65) + chr(8679 - 8579) + chr(335 - 234))('\165' + '\164' + chr(102) + '\x2d' + '\070'))()
return (bnWt8bAusfpn, Kjzu2nyOpsUj)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/t2t_model.py
|
average_sharded_losses
|
def average_sharded_losses(sharded_losses):
"""Average losses across datashards.
Args:
sharded_losses: list<dict<str loss_name, Tensor loss>>. The loss
can be a single Tensor or a 2-tuple (numerator and denominator).
Returns:
losses: dict<str loss_name, Tensor avg_loss>
"""
losses = {}
for loss_name in sorted(sharded_losses[0]):
all_shards = [shard_losses[loss_name] for shard_losses in sharded_losses]
if isinstance(all_shards[0], tuple):
sharded_num, sharded_den = zip(*all_shards)
mean_loss = (
tf.add_n(sharded_num) / tf.maximum(
tf.cast(1.0, sharded_den[0].dtype), tf.add_n(sharded_den)))
else:
mean_loss = tf.reduce_mean(all_shards)
losses[loss_name] = mean_loss
return losses
|
python
|
def average_sharded_losses(sharded_losses):
"""Average losses across datashards.
Args:
sharded_losses: list<dict<str loss_name, Tensor loss>>. The loss
can be a single Tensor or a 2-tuple (numerator and denominator).
Returns:
losses: dict<str loss_name, Tensor avg_loss>
"""
losses = {}
for loss_name in sorted(sharded_losses[0]):
all_shards = [shard_losses[loss_name] for shard_losses in sharded_losses]
if isinstance(all_shards[0], tuple):
sharded_num, sharded_den = zip(*all_shards)
mean_loss = (
tf.add_n(sharded_num) / tf.maximum(
tf.cast(1.0, sharded_den[0].dtype), tf.add_n(sharded_den)))
else:
mean_loss = tf.reduce_mean(all_shards)
losses[loss_name] = mean_loss
return losses
|
[
"def",
"average_sharded_losses",
"(",
"sharded_losses",
")",
":",
"losses",
"=",
"{",
"}",
"for",
"loss_name",
"in",
"sorted",
"(",
"sharded_losses",
"[",
"0",
"]",
")",
":",
"all_shards",
"=",
"[",
"shard_losses",
"[",
"loss_name",
"]",
"for",
"shard_losses",
"in",
"sharded_losses",
"]",
"if",
"isinstance",
"(",
"all_shards",
"[",
"0",
"]",
",",
"tuple",
")",
":",
"sharded_num",
",",
"sharded_den",
"=",
"zip",
"(",
"*",
"all_shards",
")",
"mean_loss",
"=",
"(",
"tf",
".",
"add_n",
"(",
"sharded_num",
")",
"/",
"tf",
".",
"maximum",
"(",
"tf",
".",
"cast",
"(",
"1.0",
",",
"sharded_den",
"[",
"0",
"]",
".",
"dtype",
")",
",",
"tf",
".",
"add_n",
"(",
"sharded_den",
")",
")",
")",
"else",
":",
"mean_loss",
"=",
"tf",
".",
"reduce_mean",
"(",
"all_shards",
")",
"losses",
"[",
"loss_name",
"]",
"=",
"mean_loss",
"return",
"losses"
] |
Average losses across datashards.
Args:
sharded_losses: list<dict<str loss_name, Tensor loss>>. The loss
can be a single Tensor or a 2-tuple (numerator and denominator).
Returns:
losses: dict<str loss_name, Tensor avg_loss>
|
[
"Average",
"losses",
"across",
"datashards",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/t2t_model.py#L2121-L2143
|
train
|
Average losses across datashards.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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) + '\061' + chr(2035 - 1985) + chr(0b110001), 59169 - 59161), ehT0Px3KOsy9(chr(1355 - 1307) + chr(3447 - 3336) + chr(1122 - 1071) + chr(0b110100) + chr(1673 - 1618), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10011 + 0o36) + chr(0b10010 + 0o42) + chr(0b110101), 52419 - 52411), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\067' + chr(0b10100 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(7639 - 7528) + chr(2047 - 1997) + chr(0b110011) + chr(1622 - 1574), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101000 + 0o7) + chr(0b11101 + 0o24) + chr(668 - 618) + chr(0b101000 + 0o12), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(5868 - 5757) + '\x33' + chr(52), 0b1000), ehT0Px3KOsy9(chr(982 - 934) + '\x6f' + '\x32' + '\066' + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110111) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b110100) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(7018 - 6907) + chr(950 - 900) + '\x33' + chr(0b101100 + 0o12), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b10 + 0o60) + '\x31', 4347 - 4339), ehT0Px3KOsy9(chr(846 - 798) + '\157' + chr(51) + '\065' + chr(2530 - 2476), 0o10), ehT0Px3KOsy9('\060' + chr(0b100111 + 0o110) + chr(0b10010 + 0o43) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(11716 - 11605) + '\062' + '\x34' + chr(0b110111 + 0o0), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b10101 + 0o34) + chr(2380 - 2327), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\062' + chr(0b10000 + 0o45) + chr(0b101010 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + '\x33' + chr(0b100100 + 0o21) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\x32' + chr(54), 22626 - 22618), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\060' + chr(0b1011 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(2072 - 2024) + chr(0b1101000 + 0o7) + chr(2534 - 2483) + '\x32' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\x36' + chr(2592 - 2537), 0b1000), ehT0Px3KOsy9(chr(1938 - 1890) + '\157' + chr(0b11110 + 0o23) + chr(0b10111 + 0o40), 0b1000), ehT0Px3KOsy9(chr(718 - 670) + chr(9129 - 9018) + chr(2262 - 2213) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1022 - 911) + '\x32' + chr(0b100100 + 0o22), 0o10), ehT0Px3KOsy9(chr(1753 - 1705) + chr(1745 - 1634) + chr(0b110011) + '\x32' + chr(0b100110 + 0o17), 0o10), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + chr(2250 - 2201) + chr(0b110000) + chr(2610 - 2556), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + chr(0b110 + 0o54) + chr(0b110001) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\061' + chr(0b101011 + 0o10), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110100) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(2664 - 2553) + chr(0b110001) + chr(1249 - 1197) + chr(55), 18379 - 18371), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b110111) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1 + 0o61) + chr(765 - 715) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1989 - 1935) + '\067', 0o10), ehT0Px3KOsy9(chr(109 - 61) + chr(0b1101111) + chr(0b10100 + 0o36) + chr(0b10010 + 0o43) + chr(2371 - 2321), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b110100 + 0o2) + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\x32' + '\x35', 0o10), ehT0Px3KOsy9(chr(418 - 370) + chr(111) + '\063' + chr(0b1000 + 0o53) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(7442 - 7331) + '\062' + chr(0b110000) + '\061', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + '\065' + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f'), '\144' + chr(0b1100101) + chr(7106 - 7007) + chr(111) + chr(2323 - 2223) + chr(0b1100101 + 0o0))(chr(0b1110101) + '\164' + '\146' + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def f56LhzVHvC64(Godaj0jaYtK0):
eJKWkHA7qzlZ = {}
for qK9CnPKXuUIr in vUlqIvNSaRMa(Godaj0jaYtK0[ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + chr(0b111 + 0o51), 0b1000)]):
OPvSbYIlOjwT = [H7ib3Uaf4pYd[qK9CnPKXuUIr] for H7ib3Uaf4pYd in Godaj0jaYtK0]
if PlSM16l2KDPD(OPvSbYIlOjwT[ehT0Px3KOsy9('\060' + '\x6f' + chr(1416 - 1368), 8)], KNyTy8rYcwji):
(ri1KP4t0UXgh, cWD2HLWNgeNt) = pZ0NK2y6HRbn(*OPvSbYIlOjwT)
Y_OKo180sYh_ = IDJ2eXGCBCDu.add_n(ri1KP4t0UXgh) / IDJ2eXGCBCDu.maximum(IDJ2eXGCBCDu.cast(1.0, cWD2HLWNgeNt[ehT0Px3KOsy9('\x30' + chr(4810 - 4699) + chr(48), 8)].jSV9IKnemH7K), IDJ2eXGCBCDu.add_n(cWD2HLWNgeNt))
else:
Y_OKo180sYh_ = IDJ2eXGCBCDu.reduce_mean(OPvSbYIlOjwT)
eJKWkHA7qzlZ[qK9CnPKXuUIr] = Y_OKo180sYh_
return eJKWkHA7qzlZ
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/t2t_model.py
|
summarize_features
|
def summarize_features(features, num_shards=1):
"""Generate summaries for features."""
if not common_layers.should_generate_summaries():
return
with tf.name_scope("input_stats"):
for (k, v) in sorted(six.iteritems(features)):
if (isinstance(v, tf.Tensor) and (v.get_shape().ndims > 1) and
(v.dtype != tf.string)):
tf.summary.scalar("%s_batch" % k, tf.shape(v)[0] // num_shards)
tf.summary.scalar("%s_length" % k, tf.shape(v)[1])
nonpadding = tf.to_float(tf.not_equal(v, 0))
nonpadding_tokens = tf.reduce_sum(nonpadding)
tf.summary.scalar("%s_nonpadding_tokens" % k, nonpadding_tokens)
tf.summary.scalar("%s_nonpadding_fraction" % k,
tf.reduce_mean(nonpadding))
|
python
|
def summarize_features(features, num_shards=1):
"""Generate summaries for features."""
if not common_layers.should_generate_summaries():
return
with tf.name_scope("input_stats"):
for (k, v) in sorted(six.iteritems(features)):
if (isinstance(v, tf.Tensor) and (v.get_shape().ndims > 1) and
(v.dtype != tf.string)):
tf.summary.scalar("%s_batch" % k, tf.shape(v)[0] // num_shards)
tf.summary.scalar("%s_length" % k, tf.shape(v)[1])
nonpadding = tf.to_float(tf.not_equal(v, 0))
nonpadding_tokens = tf.reduce_sum(nonpadding)
tf.summary.scalar("%s_nonpadding_tokens" % k, nonpadding_tokens)
tf.summary.scalar("%s_nonpadding_fraction" % k,
tf.reduce_mean(nonpadding))
|
[
"def",
"summarize_features",
"(",
"features",
",",
"num_shards",
"=",
"1",
")",
":",
"if",
"not",
"common_layers",
".",
"should_generate_summaries",
"(",
")",
":",
"return",
"with",
"tf",
".",
"name_scope",
"(",
"\"input_stats\"",
")",
":",
"for",
"(",
"k",
",",
"v",
")",
"in",
"sorted",
"(",
"six",
".",
"iteritems",
"(",
"features",
")",
")",
":",
"if",
"(",
"isinstance",
"(",
"v",
",",
"tf",
".",
"Tensor",
")",
"and",
"(",
"v",
".",
"get_shape",
"(",
")",
".",
"ndims",
">",
"1",
")",
"and",
"(",
"v",
".",
"dtype",
"!=",
"tf",
".",
"string",
")",
")",
":",
"tf",
".",
"summary",
".",
"scalar",
"(",
"\"%s_batch\"",
"%",
"k",
",",
"tf",
".",
"shape",
"(",
"v",
")",
"[",
"0",
"]",
"//",
"num_shards",
")",
"tf",
".",
"summary",
".",
"scalar",
"(",
"\"%s_length\"",
"%",
"k",
",",
"tf",
".",
"shape",
"(",
"v",
")",
"[",
"1",
"]",
")",
"nonpadding",
"=",
"tf",
".",
"to_float",
"(",
"tf",
".",
"not_equal",
"(",
"v",
",",
"0",
")",
")",
"nonpadding_tokens",
"=",
"tf",
".",
"reduce_sum",
"(",
"nonpadding",
")",
"tf",
".",
"summary",
".",
"scalar",
"(",
"\"%s_nonpadding_tokens\"",
"%",
"k",
",",
"nonpadding_tokens",
")",
"tf",
".",
"summary",
".",
"scalar",
"(",
"\"%s_nonpadding_fraction\"",
"%",
"k",
",",
"tf",
".",
"reduce_mean",
"(",
"nonpadding",
")",
")"
] |
Generate summaries for features.
|
[
"Generate",
"summaries",
"for",
"features",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/t2t_model.py#L2146-L2161
|
train
|
Generate summaries for features.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101 + 0o142) + chr(0b110001) + chr(55) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1462 - 1414) + '\157' + '\063' + chr(0b110010) + '\060', 37939 - 37931), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + '\062' + chr(1249 - 1194) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(543 - 495) + chr(5206 - 5095) + chr(1837 - 1788) + chr(0b101111 + 0o3) + chr(48), 20574 - 20566), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(698 - 649) + chr(0b100010 + 0o21) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110000 + 0o2) + chr(0b100110 + 0o16), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + '\x31' + chr(1014 - 963) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\x34' + chr(0b10101 + 0o40), 37235 - 37227), ehT0Px3KOsy9(chr(48) + chr(10450 - 10339) + chr(1498 - 1446) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101100 + 0o10) + chr(1167 - 1119), 64430 - 64422), ehT0Px3KOsy9(chr(471 - 423) + '\157' + chr(52) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\063' + chr(0b110111) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(700 - 649) + '\063' + chr(0b110100), 15963 - 15955), ehT0Px3KOsy9(chr(0b110000) + chr(12088 - 11977) + chr(49) + '\x31' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5445 - 5334) + chr(49) + '\067' + chr(0b110111), 8720 - 8712), ehT0Px3KOsy9('\x30' + chr(0b1000110 + 0o51) + chr(55) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001 + 0o1) + '\062' + '\x35', 33162 - 33154), ehT0Px3KOsy9('\060' + '\157' + chr(2252 - 2201) + chr(0b10 + 0o56) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(779 - 726) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b110001) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b110011) + chr(0b110010) + '\x37', 7875 - 7867), ehT0Px3KOsy9(chr(1974 - 1926) + chr(4400 - 4289) + '\062' + '\067' + chr(49), 0o10), ehT0Px3KOsy9(chr(912 - 864) + chr(6200 - 6089) + chr(0b110001) + chr(51) + '\060', 47214 - 47206), ehT0Px3KOsy9(chr(213 - 165) + chr(11036 - 10925) + chr(0b11010 + 0o30) + chr(50) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2179 - 2129) + '\065' + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\067' + '\x36', 0b1000), ehT0Px3KOsy9(chr(1307 - 1259) + chr(0b1101111) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7003 - 6892) + '\061' + chr(584 - 536) + chr(55), 14689 - 14681), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(577 - 529) + chr(2998 - 2943), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + chr(2220 - 2170) + chr(50) + chr(656 - 602), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(48) + chr(0b110100), 55294 - 55286), ehT0Px3KOsy9(chr(848 - 800) + chr(5022 - 4911) + chr(1357 - 1305) + '\x31', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53) + chr(0b101010 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + '\x32' + chr(0b110111) + chr(0b1 + 0o60), 8), ehT0Px3KOsy9(chr(932 - 884) + '\x6f' + '\062' + '\x36' + '\x31', 26719 - 26711), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\060' + chr(0b1010 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\x33' + '\x32' + chr(48), 8), ehT0Px3KOsy9(chr(1270 - 1222) + chr(111) + '\x31' + chr(0b110001) + '\x32', 8), ehT0Px3KOsy9(chr(921 - 873) + '\x6f' + '\x34' + chr(52), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b10010 + 0o43) + chr(217 - 169), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'T'), chr(8375 - 8275) + '\145' + chr(99) + '\x6f' + '\144' + chr(188 - 87))(chr(117) + chr(0b1110100) + chr(102) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def YVL7NUEgudHS(EEf4r9nUvta_, WJU3qUPk_Uro=ehT0Px3KOsy9('\060' + chr(0b1000011 + 0o54) + chr(0b10100 + 0o35), 0b1000)):
if not xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\t\xb8\xd0%70\x06\xc2CND\x8a\xbd>\x1ad\xe6\xb6\x06\xe1\xb6\xcb1\xf3\xde'), '\x64' + chr(407 - 306) + '\x63' + '\x6f' + chr(0b11101 + 0o107) + '\145')(chr(0b10001 + 0o144) + chr(0b1110100) + chr(102) + chr(0b101100 + 0o1) + chr(56)))():
return
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b"\x14\xb1\xd25\x04':\xcaVE"), chr(3943 - 3843) + '\x65' + chr(99) + '\157' + chr(0b1011000 + 0o14) + chr(0b111101 + 0o50))(chr(0b10001 + 0o144) + '\x74' + '\146' + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xbe\xcf%/\x0b*\xd1GTR'), '\144' + chr(0b1000101 + 0o40) + chr(0b1100011) + chr(10642 - 10531) + chr(5701 - 5601) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1 + 0o145) + '\x2d' + chr(0b111000))):
for (OolUPRJhRaJd, cMbll0QYhULo) in vUlqIvNSaRMa(xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xa4\xda"2 <\xc8U'), chr(0b10110 + 0o116) + chr(101) + chr(99) + '\x6f' + '\x64' + chr(1637 - 1536))(chr(0b1100010 + 0o23) + '\x74' + '\x66' + chr(45) + chr(2228 - 2172)))(EEf4r9nUvta_)):
if PlSM16l2KDPD(cMbll0QYhULo, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xb5\xd1#4&'), chr(8605 - 8505) + chr(0b11110 + 0o107) + chr(0b1011010 + 0o11) + '\x6f' + chr(0b1100100) + chr(101))(chr(117) + chr(116) + chr(102) + chr(0b101101) + chr(2320 - 2264)))) and xafqLlk3kkUe(cMbll0QYhULo.get_shape(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xb4\xd6=('), chr(0b1000 + 0o134) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(13131 - 13014) + chr(116) + chr(0b1100110) + '\055' + chr(0b101011 + 0o15))) > ehT0Px3KOsy9(chr(323 - 275) + chr(0b1100010 + 0o15) + chr(0b110001), 8) and (xafqLlk3kkUe(cMbll0QYhULo, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\x83\xe9i\x12\x1f7\xc0Kh\x16\xb3'), chr(0b1000010 + 0o42) + '\x65' + chr(99) + chr(8573 - 8462) + '\144' + '\x65')('\165' + chr(0b1110100) + chr(102) + chr(122 - 77) + chr(0b111000))) != xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\t\xa4\xcd953'), '\144' + '\145' + chr(8319 - 8220) + chr(0b1101111) + '\x64' + chr(101))(chr(5777 - 5660) + chr(116) + chr(102) + '\x2d' + chr(0b110 + 0o62)))):
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'\t\xb3\xde<:&'), '\144' + chr(5808 - 5707) + chr(0b1100011) + chr(0b1101111) + '\144' + '\x65')(chr(0b101101 + 0o110) + chr(116) + chr(102) + '\x2d' + chr(2300 - 2244)))(xafqLlk3kkUe(SXOLrMavuUCe(b'_\xa3\xe02: :\xcd'), chr(4643 - 4543) + chr(0b101000 + 0o75) + chr(1903 - 1804) + chr(111) + chr(182 - 82) + '\145')(chr(117) + chr(116) + chr(102) + '\055' + '\070') % OolUPRJhRaJd, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xb1\xca\t=\x18>\xc9rPB\x9a'), '\x64' + '\x65' + chr(0b1011101 + 0o6) + '\157' + '\x64' + chr(101))(chr(0b1110101) + chr(116) + chr(102) + '\x2d' + chr(0b11001 + 0o37)))(cMbll0QYhULo)[ehT0Px3KOsy9(chr(985 - 937) + chr(111) + '\x30', 5034 - 5026)] // WJU3qUPk_Uro)
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'\t\xb3\xde<:&'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1100100) + chr(4974 - 4873))(chr(0b1001000 + 0o55) + chr(1089 - 973) + '\146' + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'_\xa3\xe0<>:>\xd1N'), '\x64' + chr(101) + chr(9205 - 9106) + '\157' + '\144' + '\145')(chr(0b1110101) + '\164' + chr(2208 - 2106) + chr(0b101101) + chr(56)) % OolUPRJhRaJd, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xb1\xca\t=\x18>\xc9rPB\x9a'), chr(0b1100100) + chr(935 - 834) + '\x63' + chr(0b1101100 + 0o3) + '\144' + chr(0b101111 + 0o66))('\x75' + '\164' + chr(0b1100110) + chr(0b101101) + chr(2462 - 2406)))(cMbll0QYhULo)[ehT0Px3KOsy9('\x30' + '\157' + chr(0b100000 + 0o21), 8)])
qpPhEurkAWxO = IDJ2eXGCBCDu.to_float(IDJ2eXGCBCDu.not_equal(cMbll0QYhULo, ehT0Px3KOsy9(chr(2173 - 2125) + chr(111) + chr(0b110000), 8)))
CLf7ZgspU4RG = IDJ2eXGCBCDu.reduce_sum(qpPhEurkAWxO)
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'\t\xb3\xde<:&'), '\144' + chr(0b1010000 + 0o25) + '\x63' + chr(111) + '\144' + chr(264 - 163))('\x75' + chr(3088 - 2972) + '\x66' + '\055' + chr(0b11110 + 0o32)))(xafqLlk3kkUe(SXOLrMavuUCe(b'_\xa3\xe0>4:)\xc4BDH\x96\xbb\x15\x0bT\xfe\xa6\x05\xff'), chr(0b1100100) + '\145' + chr(0b1100011) + '\157' + chr(1796 - 1696) + chr(6374 - 6273))('\165' + '\164' + chr(102) + chr(45) + chr(0b111000)) % OolUPRJhRaJd, CLf7ZgspU4RG)
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'\t\xb3\xde<:&'), chr(100) + chr(0b1011110 + 0o7) + '\143' + chr(0b110001 + 0o76) + chr(0b1100100) + chr(0b1100101))(chr(0b1101110 + 0o7) + chr(116) + chr(0b1100110) + chr(1745 - 1700) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'_\xa3\xe0>4:)\xc4BDH\x96\xbb\x15\x19I\xf4\xa0\x1f\xe5\xb8\xd7'), '\144' + chr(0b100110 + 0o77) + '\x63' + '\157' + '\x64' + chr(101))(chr(0b1110101) + chr(8111 - 7995) + chr(0b1100110) + chr(45) + chr(56)) % OolUPRJhRaJd, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xb5\xdb%81\x06\xc8CAO'), '\x64' + chr(0b1001111 + 0o26) + chr(0b1011010 + 0o11) + chr(11269 - 11158) + '\144' + chr(0b101 + 0o140))('\x75' + chr(1819 - 1703) + chr(0b1000011 + 0o43) + '\x2d' + chr(2402 - 2346)))(qpPhEurkAWxO))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/t2t_model.py
|
_compose_custom_getters
|
def _compose_custom_getters(getter_a, getter_b):
"""Compose two custom getters.
Example use:
tf.get_variable_scope().set_custom_getter(
compose_custom_getters(tf.get_variable_scope().custom_getter, new_getter))
This composes getters in the same way as creating a new variable scope with
the new_getter, but it does not actually create a new variable scope.
Args:
getter_a: a custom getter - generally from the existing variable scope.
getter_b: a custom getter
Returns:
a custom getter
"""
if not getter_a:
return getter_b
if not getter_b:
return getter_a
def getter_fn(getter, *args, **kwargs):
return getter_b(functools.partial(getter_a, getter), *args, **kwargs)
return getter_fn
|
python
|
def _compose_custom_getters(getter_a, getter_b):
"""Compose two custom getters.
Example use:
tf.get_variable_scope().set_custom_getter(
compose_custom_getters(tf.get_variable_scope().custom_getter, new_getter))
This composes getters in the same way as creating a new variable scope with
the new_getter, but it does not actually create a new variable scope.
Args:
getter_a: a custom getter - generally from the existing variable scope.
getter_b: a custom getter
Returns:
a custom getter
"""
if not getter_a:
return getter_b
if not getter_b:
return getter_a
def getter_fn(getter, *args, **kwargs):
return getter_b(functools.partial(getter_a, getter), *args, **kwargs)
return getter_fn
|
[
"def",
"_compose_custom_getters",
"(",
"getter_a",
",",
"getter_b",
")",
":",
"if",
"not",
"getter_a",
":",
"return",
"getter_b",
"if",
"not",
"getter_b",
":",
"return",
"getter_a",
"def",
"getter_fn",
"(",
"getter",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"getter_b",
"(",
"functools",
".",
"partial",
"(",
"getter_a",
",",
"getter",
")",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
"return",
"getter_fn"
] |
Compose two custom getters.
Example use:
tf.get_variable_scope().set_custom_getter(
compose_custom_getters(tf.get_variable_scope().custom_getter, new_getter))
This composes getters in the same way as creating a new variable scope with
the new_getter, but it does not actually create a new variable scope.
Args:
getter_a: a custom getter - generally from the existing variable scope.
getter_b: a custom getter
Returns:
a custom getter
|
[
"Compose",
"two",
"custom",
"getters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/t2t_model.py#L2186-L2211
|
train
|
Compose two custom getters.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b101011 + 0o6) + chr(704 - 654) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1407 - 1359) + chr(0b1001110 + 0o41) + '\061' + chr(0b110101) + chr(0b1100 + 0o50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(975 - 923) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x33' + '\060', 58580 - 58572), ehT0Px3KOsy9(chr(723 - 675) + chr(0b1010000 + 0o37) + chr(0b110001) + chr(0b110110) + chr(0b101001 + 0o16), 6355 - 6347), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100101 + 0o14) + '\x36' + chr(0b1110 + 0o46), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(162 - 112) + chr(2351 - 2300), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + chr(0b1101 + 0o44) + '\x33' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x34', 31172 - 31164), ehT0Px3KOsy9(chr(356 - 308) + '\157' + chr(1934 - 1880) + chr(0b101101 + 0o6), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110111) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x30' + chr(1049 - 1001), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + '\063' + '\062' + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(2532 - 2421) + chr(0b110001) + '\063' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\x36' + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + chr(0b110010) + chr(50), 0b1000), ehT0Px3KOsy9(chr(1471 - 1423) + chr(11112 - 11001) + chr(1410 - 1357) + '\x33', 1208 - 1200), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(2159 - 2104) + chr(55), 46781 - 46773), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + chr(0b110011) + chr(1158 - 1103) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100100 + 0o20), 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1011101 + 0o22) + '\062' + chr(53) + chr(0b100 + 0o63), 0o10), ehT0Px3KOsy9('\060' + chr(0b101101 + 0o102) + chr(0b11 + 0o56) + '\x33' + '\x35', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011 + 0o0) + '\x33' + chr(1656 - 1606), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\x32' + chr(52), 10878 - 10870), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100110 + 0o14) + '\060' + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(3429 - 3318) + '\061' + chr(367 - 317) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1392 - 1344) + '\x6f' + '\x33' + chr(0b100010 + 0o17) + chr(698 - 646), 39670 - 39662), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101011 + 0o10) + '\x34' + '\x36', 52321 - 52313), ehT0Px3KOsy9(chr(1883 - 1835) + chr(0b100100 + 0o113) + chr(0b110010) + chr(2753 - 2700) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(2473 - 2421) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + '\067' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\x31' + chr(0b110010) + chr(0b101110 + 0o11), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\066' + chr(467 - 418), ord("\x08")), ehT0Px3KOsy9(chr(1288 - 1240) + chr(4350 - 4239) + chr(51) + chr(981 - 932) + chr(0b0 + 0o62), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(1117 - 1068) + '\064', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1641 - 1591) + chr(2164 - 2110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110101 + 0o1) + chr(2276 - 2228), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(50) + chr(0b1001 + 0o55) + chr(0b110100), 34937 - 34929), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + chr(0b0 + 0o62) + chr(0b10100 + 0o43) + chr(0b110011), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(319 - 271) + chr(5396 - 5285) + '\x35' + chr(0b10 + 0o56), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'|'), chr(0b110001 + 0o63) + '\x65' + chr(99) + '\157' + chr(8541 - 8441) + chr(101))(chr(117) + chr(116) + chr(0b1100110) + chr(63 - 18) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def D9VC0_gV0eqQ(gMPAVBfDWtzm, xpfGa1aDIlwo):
if not gMPAVBfDWtzm:
return xpfGa1aDIlwo
if not xpfGa1aDIlwo:
return gMPAVBfDWtzm
def iZHaispm3G3r(XGjmdKmSZ8Qs, *kJDRfRhcZHjS, **M8EIoTs2GJXE):
return xpfGa1aDIlwo(xafqLlk3kkUe(E6ula8_Zv1yl, xafqLlk3kkUe(SXOLrMavuUCe(b'"g\x1eV1\x16\x18'), '\x64' + '\x65' + chr(0b110011 + 0o60) + chr(3521 - 3410) + chr(100) + chr(101))('\165' + chr(0b10110 + 0o136) + chr(4455 - 4353) + chr(0b101101) + chr(1521 - 1465)))(gMPAVBfDWtzm, XGjmdKmSZ8Qs), *kJDRfRhcZHjS, **M8EIoTs2GJXE)
return iZHaispm3G3r
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/t2t_model.py
|
set_custom_getter_compose
|
def set_custom_getter_compose(custom_getter):
"""Set a custom getter in the current variable scope.
Do not overwrite the existing custom getter - rather compose with it.
Args:
custom_getter: a custom getter.
"""
tf.get_variable_scope().set_custom_getter(
_compose_custom_getters(tf.get_variable_scope().custom_getter,
custom_getter))
|
python
|
def set_custom_getter_compose(custom_getter):
"""Set a custom getter in the current variable scope.
Do not overwrite the existing custom getter - rather compose with it.
Args:
custom_getter: a custom getter.
"""
tf.get_variable_scope().set_custom_getter(
_compose_custom_getters(tf.get_variable_scope().custom_getter,
custom_getter))
|
[
"def",
"set_custom_getter_compose",
"(",
"custom_getter",
")",
":",
"tf",
".",
"get_variable_scope",
"(",
")",
".",
"set_custom_getter",
"(",
"_compose_custom_getters",
"(",
"tf",
".",
"get_variable_scope",
"(",
")",
".",
"custom_getter",
",",
"custom_getter",
")",
")"
] |
Set a custom getter in the current variable scope.
Do not overwrite the existing custom getter - rather compose with it.
Args:
custom_getter: a custom getter.
|
[
"Set",
"a",
"custom",
"getter",
"in",
"the",
"current",
"variable",
"scope",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/t2t_model.py#L2214-L2224
|
train
|
Set a custom getter in the current variable scope.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(2024 - 1974) + '\x34' + chr(2329 - 2275), 48281 - 48273), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + '\063' + chr(957 - 902) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(4237 - 4126) + '\x32' + chr(0b110001) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1925 - 1877) + chr(111) + chr(445 - 392) + chr(964 - 912), 0o10), ehT0Px3KOsy9(chr(807 - 759) + '\x6f' + chr(0b110011) + '\x32' + chr(0b110100), 1871 - 1863), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110100) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(6481 - 6370) + chr(0b110010) + '\061' + '\066', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(10927 - 10816) + chr(1496 - 1446) + '\x31' + '\064', 8), ehT0Px3KOsy9(chr(488 - 440) + '\157' + '\063' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\x30' + chr(0b10 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(0b110100) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1000 + 0o147) + chr(51) + '\x34' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(1904 - 1854) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(1953 - 1903) + '\x30' + chr(0b110100 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(1547 - 1499) + chr(0b1101111) + chr(51) + chr(466 - 413) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10100 + 0o41) + chr(0b110011), 36505 - 36497), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(51) + chr(1026 - 975) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(167 - 118) + '\064' + '\x33', 0b1000), ehT0Px3KOsy9(chr(749 - 701) + chr(6109 - 5998) + '\063' + '\064' + chr(2469 - 2416), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1769 - 1718) + '\x36' + chr(0b101110 + 0o2), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(520 - 469) + chr(0b110100) + '\065', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(49) + chr(1585 - 1535), 0o10), ehT0Px3KOsy9(chr(1686 - 1638) + chr(111) + '\x32' + chr(105 - 56) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1216 - 1168) + chr(0b1101111) + chr(51) + chr(0b110101) + '\062', 0b1000), ehT0Px3KOsy9(chr(185 - 137) + '\157' + chr(0b11101 + 0o25) + chr(0b11100 + 0o33) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110110) + chr(826 - 773), 32391 - 32383), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1541 - 1490) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(4233 - 4122) + '\063' + chr(1070 - 1020) + '\x35', 62223 - 62215), ehT0Px3KOsy9('\060' + '\x6f' + chr(1134 - 1084) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1011001 + 0o26) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1011001 + 0o26) + chr(49) + '\060' + chr(0b110 + 0o55), 0o10), ehT0Px3KOsy9('\x30' + chr(4642 - 4531) + chr(0b110001) + '\062', 52648 - 52640), ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + '\x33' + chr(0b101100 + 0o7) + chr(0b110110), 421 - 413), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b11001 + 0o126) + chr(50) + chr(50) + chr(53), 57356 - 57348), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(51) + '\x31' + chr(50), 31685 - 31677), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(50) + chr(53) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b110111) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b1110 + 0o46) + chr(2019 - 1967), ord("\x08")), ehT0Px3KOsy9(chr(134 - 86) + '\x6f' + chr(0b11001 + 0o31) + chr(456 - 404) + '\064', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1011100 + 0o23) + chr(53) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x88'), chr(6205 - 6105) + chr(4027 - 3926) + chr(0b1100011) + chr(3576 - 3465) + chr(0b1010000 + 0o24) + '\145')(chr(117) + '\x74' + chr(0b1011011 + 0o13) + '\x2d' + chr(2391 - 2335)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def C34rEtF0E667(JF98kqC39wAN):
xafqLlk3kkUe(IDJ2eXGCBCDu.get_variable_scope(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x9f\xf8s\xb7nU\xfa\xe3w\xdbD\x83\xa3\xf3\x8bY'), chr(100) + '\x65' + '\x63' + chr(0b1101111) + '\x64' + chr(101))(chr(117) + chr(116) + '\146' + chr(61 - 16) + chr(0b111000)))(D9VC0_gV0eqQ(xafqLlk3kkUe(IDJ2eXGCBCDu.get_variable_scope(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\x8f\xffX\xbbvy\xe9\xe9n\xf0F\x94'), chr(1920 - 1820) + '\x65' + '\143' + chr(0b1001 + 0o146) + chr(100) + '\x65')(chr(0b101010 + 0o113) + chr(883 - 767) + chr(102) + chr(0b101000 + 0o5) + chr(2617 - 2561))), JF98kqC39wAN))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/t2t_model.py
|
initialize_from_ckpt
|
def initialize_from_ckpt(ckpt_dir, hparams):
"""Initialize variables from given directory."""
model_dir = hparams.get("model_dir", None)
already_has_ckpt = (
model_dir and tf.train.latest_checkpoint(model_dir) is not None)
if already_has_ckpt:
return
tf.logging.info("Checkpoint dir: %s", ckpt_dir)
reader = tf.contrib.framework.load_checkpoint(ckpt_dir)
variable_map = {}
for var in tf.contrib.framework.get_trainable_variables():
var_name = var.name.split(":")[0]
if reader.has_tensor(var_name):
tf.logging.info("Loading variable from checkpoint: %s", var_name)
variable_map[var_name] = var
else:
tf.logging.info("Cannot find variable in checkpoint, skipping: %s",
var_name)
tf.train.init_from_checkpoint(ckpt_dir, variable_map)
|
python
|
def initialize_from_ckpt(ckpt_dir, hparams):
"""Initialize variables from given directory."""
model_dir = hparams.get("model_dir", None)
already_has_ckpt = (
model_dir and tf.train.latest_checkpoint(model_dir) is not None)
if already_has_ckpt:
return
tf.logging.info("Checkpoint dir: %s", ckpt_dir)
reader = tf.contrib.framework.load_checkpoint(ckpt_dir)
variable_map = {}
for var in tf.contrib.framework.get_trainable_variables():
var_name = var.name.split(":")[0]
if reader.has_tensor(var_name):
tf.logging.info("Loading variable from checkpoint: %s", var_name)
variable_map[var_name] = var
else:
tf.logging.info("Cannot find variable in checkpoint, skipping: %s",
var_name)
tf.train.init_from_checkpoint(ckpt_dir, variable_map)
|
[
"def",
"initialize_from_ckpt",
"(",
"ckpt_dir",
",",
"hparams",
")",
":",
"model_dir",
"=",
"hparams",
".",
"get",
"(",
"\"model_dir\"",
",",
"None",
")",
"already_has_ckpt",
"=",
"(",
"model_dir",
"and",
"tf",
".",
"train",
".",
"latest_checkpoint",
"(",
"model_dir",
")",
"is",
"not",
"None",
")",
"if",
"already_has_ckpt",
":",
"return",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Checkpoint dir: %s\"",
",",
"ckpt_dir",
")",
"reader",
"=",
"tf",
".",
"contrib",
".",
"framework",
".",
"load_checkpoint",
"(",
"ckpt_dir",
")",
"variable_map",
"=",
"{",
"}",
"for",
"var",
"in",
"tf",
".",
"contrib",
".",
"framework",
".",
"get_trainable_variables",
"(",
")",
":",
"var_name",
"=",
"var",
".",
"name",
".",
"split",
"(",
"\":\"",
")",
"[",
"0",
"]",
"if",
"reader",
".",
"has_tensor",
"(",
"var_name",
")",
":",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Loading variable from checkpoint: %s\"",
",",
"var_name",
")",
"variable_map",
"[",
"var_name",
"]",
"=",
"var",
"else",
":",
"tf",
".",
"logging",
".",
"info",
"(",
"\"Cannot find variable in checkpoint, skipping: %s\"",
",",
"var_name",
")",
"tf",
".",
"train",
".",
"init_from_checkpoint",
"(",
"ckpt_dir",
",",
"variable_map",
")"
] |
Initialize variables from given directory.
|
[
"Initialize",
"variables",
"from",
"given",
"directory",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/t2t_model.py#L2236-L2255
|
train
|
Initialize variables from given directory.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(51) + chr(124 - 71) + chr(0b1101 + 0o50), 12860 - 12852), ehT0Px3KOsy9('\060' + '\157' + chr(0b100101 + 0o16) + chr(0b101010 + 0o13) + '\067', 64956 - 64948), ehT0Px3KOsy9(chr(1231 - 1183) + chr(111) + chr(50) + '\064' + '\x36', 61245 - 61237), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101110 + 0o3) + chr(1800 - 1749) + '\x31', 0o10), ehT0Px3KOsy9(chr(896 - 848) + chr(1266 - 1155) + chr(50) + chr(0b110011) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110100 + 0o73) + chr(0b110011) + '\064' + chr(0b11010 + 0o33), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + '\x32' + chr(372 - 322) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110100 + 0o3) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000000 + 0o57) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110001) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12179 - 12068) + chr(517 - 468) + chr(1188 - 1139), 48393 - 48385), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b101100 + 0o12) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + '\x32' + chr(1941 - 1887) + '\067', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10101 + 0o35) + chr(0b11 + 0o61) + chr(1498 - 1446), 27778 - 27770), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\067' + chr(104 - 53), 8), ehT0Px3KOsy9(chr(576 - 528) + chr(0b10 + 0o155) + '\x31' + '\064' + chr(0b100111 + 0o14), 34507 - 34499), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10110 + 0o34) + '\067' + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(2292 - 2181) + '\063' + '\x33' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1918 - 1870) + chr(0b1101111) + '\x32' + chr(50) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(50) + '\x30' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001001 + 0o46) + '\063' + chr(55) + chr(0b110101), 55373 - 55365), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + chr(0b11011 + 0o26) + chr(50) + chr(406 - 356), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(50) + '\063', 5026 - 5018), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\x33' + chr(0b110110) + chr(2216 - 2164), 20805 - 20797), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(372 - 324) + chr(0b110000), 15501 - 15493), ehT0Px3KOsy9(chr(627 - 579) + chr(111) + chr(0b10110 + 0o35) + chr(0b110010) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(11928 - 11817) + chr(0b101010 + 0o11) + '\065' + chr(1814 - 1759), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\x31' + '\x37', 61213 - 61205), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + '\x31' + chr(2320 - 2268) + chr(0b1010 + 0o55), 12608 - 12600), ehT0Px3KOsy9(chr(203 - 155) + chr(8060 - 7949) + chr(0b110001) + chr(54) + chr(50), 56918 - 56910), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110100) + chr(1944 - 1892), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(52) + chr(51), 8), ehT0Px3KOsy9('\060' + chr(2235 - 2124) + chr(2089 - 2035) + chr(0b100110 + 0o21), 0o10), ehT0Px3KOsy9(chr(48) + chr(3798 - 3687) + chr(0b110111) + chr(0b100000 + 0o24), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b110100) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + '\063' + '\064', 6159 - 6151), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + '\061' + chr(1725 - 1674) + chr(713 - 660), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(50) + chr(0b101000 + 0o11) + chr(809 - 760), ord("\x08")), ehT0Px3KOsy9(chr(1038 - 990) + '\x6f' + chr(1014 - 964) + chr(54) + chr(0b110011), 43521 - 43513), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\061' + '\060', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(6648 - 6537) + chr(53) + '\060', 29155 - 29147)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3'), chr(2833 - 2733) + chr(0b111010 + 0o53) + '\x63' + chr(1518 - 1407) + chr(100) + chr(0b1100101))('\165' + chr(116) + '\146' + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def p_JJWcIr21hA(kA2xB2avuF5G, n4ljua2gi1Pr):
kwWCbiWUCezq = n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x80\x80\xc2<\xf7\xba\xf5Rv'), chr(0b1000010 + 0o42) + chr(101) + chr(0b101000 + 0o73) + '\x6f' + '\x64' + chr(0b10110 + 0o117))(chr(0b1110000 + 0o5) + chr(0b10111 + 0o135) + chr(0b1010101 + 0o21) + chr(45) + '\x38'), None)
lMJfCoyButIp = kwWCbiWUCezq and IDJ2eXGCBCDu.train.latest_checkpoint(kwWCbiWUCezq) is not None
if lMJfCoyButIp:
return
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\xd8\xee!\xee\x86\xf6\x0cn%S\xdc'), chr(100) + chr(0b1100101) + '\143' + '\x6f' + chr(0b1100100) + '\145')('\x75' + chr(0b1110100) + chr(102) + chr(0b101101 + 0o0) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\x87\xc3:\xf0\x95\xfeRj=)\xd3\xde\xd6\x01C\x99\xa8'), chr(0b1100100) + chr(4775 - 4674) + '\143' + '\x6f' + chr(0b1001100 + 0o30) + chr(0b101100 + 0o71))('\x75' + chr(0b1000100 + 0o60) + '\x66' + chr(1049 - 1004) + '\070'), kA2xB2avuF5G)
Yt95jqiXKpBv = IDJ2eXGCBCDu.contrib.framework.load_checkpoint(kA2xB2avuF5G)
icCRx1mF9UEx = {}
for l38lb8xQZNsE in xafqLlk3kkUe(IDJ2eXGCBCDu.contrib.framework, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x8a\xd2\x06\xef\x97\xf0Rj(k\xdb\xd2\xfbM\x02\xce\xb2\xf4\xe1\x917\xe0'), '\144' + '\x65' + chr(0b1 + 0o142) + chr(9671 - 9560) + '\x64' + '\x65')('\x75' + '\164' + '\x66' + chr(1413 - 1368) + '\x38'))():
rh85H97CENf3 = l38lb8xQZNsE.name.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7'), '\144' + chr(0b10000 + 0o125) + chr(99) + '\157' + chr(9026 - 8926) + '\145')(chr(0b1110101) + chr(0b100011 + 0o121) + chr(0b1100110) + chr(0b101101) + chr(0b10001 + 0o47)))[ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(48), 0b1000)]
if xafqLlk3kkUe(Yt95jqiXKpBv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85\x8e\xd5\x06\xef\x80\xffHk;'), chr(0b1100100) + chr(0b1100101) + chr(3536 - 3437) + chr(1175 - 1064) + chr(1649 - 1549) + chr(0b1011111 + 0o6))(chr(9072 - 8955) + chr(0b10001 + 0o143) + chr(102) + chr(1247 - 1202) + chr(56)))(rh85H97CENf3):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\xd8\xee!\xee\x86\xf6\x0cn%S\xdc'), '\144' + chr(8087 - 7986) + chr(99) + chr(0b1101010 + 0o5) + '\x64' + chr(0b1100101))('\x75' + chr(116) + chr(8226 - 8124) + '\x2d' + chr(312 - 256)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\x80\xc7=\xf2\x8b\xf6\x1br({\xde\xd6\xc6W\x06\x9c\xbd\xe7\xec\x90r\xf0\x9c\xa5\xb1\x84\xbf\x08\x1bJ\x17\r\x1c\x85o'), chr(0b10101 + 0o117) + chr(0b1100101) + '\x63' + chr(111) + chr(6974 - 6874) + chr(0b1100101))('\x75' + '\x74' + '\x66' + chr(45) + chr(0b101000 + 0o20)), rh85H97CENf3)
icCRx1mF9UEx[rh85H97CENf3] = l38lb8xQZNsE
else:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\xd8\xee!\xee\x86\xf6\x0cn%S\xdc'), '\144' + '\x65' + chr(99) + chr(9447 - 9336) + '\144' + chr(0b1100101))(chr(117) + '\x74' + chr(0b101100 + 0o72) + chr(2002 - 1957) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b"\xae\x8e\xc87\xf4\x91\xb1]m'm\x97\xc1\xc5I\n\xdd\xb9\xf9\xe6\xdd;\xfd\xd4\xa3\xba\x8a\xac\x0c\x02K\nYH\x8c<.\xe2\xda\xf8\x9d\x86\xc8>\xa1\xc5\xb4H"), chr(100) + '\145' + chr(99) + '\x6f' + chr(100) + '\x65')('\165' + '\x74' + chr(3822 - 3720) + '\x2d' + '\x38'), rh85H97CENf3)
xafqLlk3kkUe(IDJ2eXGCBCDu.train, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\x81\xcf-\xc4\x83\xe3Ti\x16j\xdf\xd2\xc7P\x13\xd3\xb2\xfb\xf7'), chr(0b1100100) + '\145' + chr(2506 - 2407) + chr(0b11000 + 0o127) + '\144' + chr(0b11011 + 0o112))('\165' + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000 + 0o0)))(kA2xB2avuF5G, icCRx1mF9UEx)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/t2t_model.py
|
T2TModel._target_modality_is_real
|
def _target_modality_is_real(self):
"""Whether the target modality is real-valued."""
vocab_size = self._problem_hparams.vocab_size["targets"]
if vocab_size is not None and hasattr(self._hparams, "vocab_divisor"):
vocab_size += (-vocab_size) % self._hparams.vocab_divisor
modality = self._problem_hparams.modality["targets"]
modality_name = self._hparams.name.get(
"targets",
modalities.get_name(modality))(self._hparams, vocab_size)
return modality_name.startswith("real")
|
python
|
def _target_modality_is_real(self):
"""Whether the target modality is real-valued."""
vocab_size = self._problem_hparams.vocab_size["targets"]
if vocab_size is not None and hasattr(self._hparams, "vocab_divisor"):
vocab_size += (-vocab_size) % self._hparams.vocab_divisor
modality = self._problem_hparams.modality["targets"]
modality_name = self._hparams.name.get(
"targets",
modalities.get_name(modality))(self._hparams, vocab_size)
return modality_name.startswith("real")
|
[
"def",
"_target_modality_is_real",
"(",
"self",
")",
":",
"vocab_size",
"=",
"self",
".",
"_problem_hparams",
".",
"vocab_size",
"[",
"\"targets\"",
"]",
"if",
"vocab_size",
"is",
"not",
"None",
"and",
"hasattr",
"(",
"self",
".",
"_hparams",
",",
"\"vocab_divisor\"",
")",
":",
"vocab_size",
"+=",
"(",
"-",
"vocab_size",
")",
"%",
"self",
".",
"_hparams",
".",
"vocab_divisor",
"modality",
"=",
"self",
".",
"_problem_hparams",
".",
"modality",
"[",
"\"targets\"",
"]",
"modality_name",
"=",
"self",
".",
"_hparams",
".",
"name",
".",
"get",
"(",
"\"targets\"",
",",
"modalities",
".",
"get_name",
"(",
"modality",
")",
")",
"(",
"self",
".",
"_hparams",
",",
"vocab_size",
")",
"return",
"modality_name",
".",
"startswith",
"(",
"\"real\"",
")"
] |
Whether the target modality is real-valued.
|
[
"Whether",
"the",
"target",
"modality",
"is",
"real",
"-",
"valued",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/t2t_model.py#L302-L311
|
train
|
Whether the target modality is real - valued.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(902 - 854) + chr(1816 - 1705) + '\062' + chr(0b100100 + 0o23) + chr(55), 61559 - 61551), ehT0Px3KOsy9('\060' + chr(5209 - 5098) + chr(0b110010) + '\064' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10111 + 0o130) + '\x32' + chr(50) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(92 - 39) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(12278 - 12167) + '\x32' + chr(641 - 593) + chr(2131 - 2078), 19247 - 19239), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + chr(0b110101) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(11237 - 11126) + chr(360 - 310) + '\x31' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5993 - 5882) + chr(2442 - 2391) + chr(0b110000) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2606 - 2554) + chr(49), 17318 - 17310), ehT0Px3KOsy9('\060' + '\x6f' + chr(1990 - 1940) + chr(0b110001 + 0o5) + chr(0b1001 + 0o47), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1010 + 0o50) + chr(2273 - 2224), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(53) + chr(55), 8), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\x31' + '\x32' + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110011) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10100 + 0o35) + chr(1904 - 1849) + chr(2355 - 2303), 0b1000), ehT0Px3KOsy9(chr(1793 - 1745) + chr(0b1101111) + '\061' + '\067' + chr(1753 - 1699), 36708 - 36700), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(0b110001) + chr(54) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b101010 + 0o105) + '\x31' + chr(54) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\067' + chr(0b101110 + 0o6), 0o10), ehT0Px3KOsy9('\060' + chr(0b101011 + 0o104) + chr(51) + chr(2420 - 2369) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(51) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b10111 + 0o36) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\062' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(0b10 + 0o65) + chr(0b0 + 0o65), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10000 + 0o42) + '\x36' + chr(1566 - 1514), 0b1000), ehT0Px3KOsy9(chr(1316 - 1268) + '\157' + chr(0b110011) + '\x37' + chr(0b101100 + 0o7), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000 + 0o3) + chr(50) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\x32' + chr(53) + chr(0b101100 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110110) + '\064', 34070 - 34062), ehT0Px3KOsy9(chr(1947 - 1899) + '\157' + chr(51) + '\066' + chr(0b11110 + 0o23), 15077 - 15069), ehT0Px3KOsy9(chr(48) + chr(111) + chr(240 - 189) + '\061' + '\060', 56478 - 56470), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10101 + 0o34) + '\067' + '\064', 8), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b100 + 0o57) + chr(0b1101 + 0o50), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(0b100001 + 0o22) + chr(1081 - 1028), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1199 - 1149) + '\x31' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(961 - 913) + chr(0b1101111) + '\063' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6642 - 6531) + chr(0b110001) + chr(2198 - 2150) + chr(2438 - 2386), 0b1000), ehT0Px3KOsy9(chr(355 - 307) + chr(0b1101111) + '\062' + chr(0b1100 + 0o44) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(51) + '\x37' + chr(301 - 251), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100110 + 0o20) + '\x37', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1101 + 0o50) + chr(0b1010 + 0o46), 23276 - 23268)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x91'), '\x64' + chr(101) + chr(0b1100000 + 0o3) + chr(6698 - 6587) + chr(9058 - 8958) + '\145')(chr(0b1000111 + 0o56) + chr(116) + chr(0b1100110) + chr(1458 - 1413) + chr(0b1011 + 0o55)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wJkLCpqfD41r(oVre8I6UXc3b):
CeyMIoSyrpkQ = oVre8I6UXc3b._problem_hparams.CeyMIoSyrpkQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\xc3\xe6N\xe0[\xfa'), '\144' + '\145' + chr(99) + chr(0b100000 + 0o117) + chr(0b1100001 + 0o3) + chr(101))(chr(117) + '\164' + chr(5293 - 5191) + chr(0b101101) + '\x38')]
if CeyMIoSyrpkQ is not None and lot1PSoAwYhj(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\xf2\xdb\x1c\xc6W\xff\x9as\xe3@~'), '\x64' + '\145' + chr(0b11110 + 0o105) + chr(3474 - 3363) + '\144' + chr(101))(chr(11695 - 11578) + chr(116) + '\146' + '\055' + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xcd\xf7H\xe7p\xed\xacW\xd9b@!'), '\x64' + chr(0b1100101) + '\x63' + chr(0b1101111) + '\144' + chr(9319 - 9218))(chr(0b1110101) + chr(116) + chr(0b1100110) + '\055' + chr(2550 - 2494))):
CeyMIoSyrpkQ += -CeyMIoSyrpkQ % oVre8I6UXc3b._hparams.vocab_divisor
bYPswhysd3s2 = oVre8I6UXc3b._problem_hparams.bYPswhysd3s2[xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\xc3\xe6N\xe0[\xfa'), chr(7805 - 7705) + chr(504 - 403) + chr(99) + chr(0b1101111) + '\144' + '\x65')('\x75' + '\x74' + chr(0b1100110) + '\055' + '\x38')]
RjR6XYrAEBW8 = oVre8I6UXc3b._hparams.name.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\xc3\xe6N\xe0[\xfa'), '\144' + chr(101) + chr(0b110110 + 0o55) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(102) + '\055' + '\070'), PuPeNl0CuqOQ.get_name(bYPswhysd3s2))(oVre8I6UXc3b.nPO5Cxv_RSQQ, CeyMIoSyrpkQ)
return xafqLlk3kkUe(RjR6XYrAEBW8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xd6\xf5[\xf1\\\xfe\xacU\xd8'), chr(0b11 + 0o141) + chr(7250 - 7149) + chr(99) + chr(0b1001001 + 0o46) + chr(2171 - 2071) + '\145')('\165' + chr(116) + chr(0b1100110) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xc7\xf5E'), chr(100) + chr(101) + chr(0b1000 + 0o133) + '\x6f' + chr(100) + '\x65')(chr(10508 - 10391) + chr(0b1100011 + 0o21) + chr(102) + chr(0b11000 + 0o25) + chr(0b100011 + 0o25)))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/t2t_model.py
|
T2TModel.model_fn_sharded
|
def model_fn_sharded(self, sharded_features):
"""Estimator model_fn sharded along batch dimension.
Args:
sharded_features: {str: [Tensor]}. Features sharded along batch dimension.
Each list is the same length (== number of shards).
Returns:
sharded_logits: [Tensor]. Logits for each shard of examples.
losses: {str: 0-D Tensor}. Loss averaged across shards.
"""
dp = self._data_parallelism
# [{str: Tensor}]. Transpose of 'sharded_features'.
datashard_to_features = self._to_features_per_datashard(sharded_features)
if self.use_body_sharded():
if self.hparams.scheduled_sampling_prob > 0.0:
raise NotImplementedError(
"Scheduled sampling for non-sharded body only.")
# MoE models override body_sharded
transformed_features = dp(self.bottom, datashard_to_features)
body_out = self.body_sharded(
self._to_single_features_dict(transformed_features))
body_out, losses = self._normalize_body_output(body_out)
if "training" in losses:
log_info("Skipping T2TModel top and loss because training loss "
"returned from body")
sharded_logits = body_out
else:
if isinstance(body_out, dict):
sharded_logits = collections.OrderedDict()
sharded_losses = collections.OrderedDict()
for k, v in sorted(six.iteritems(body_out)):
sharded_logits[k] = dp(self.top, v, datashard_to_features)
sharded_losses[k] = dp(self.loss, sharded_logits[k],
datashard_to_features)
training_loss_dict = average_sharded_losses([({
"training": l
} for l in loss) for loss in sharded_losses.values()])
losses.update(training_loss_dict)
else:
sharded_logits = dp(self.top, body_out, datashard_to_features)
sharded_losses = dp(self.loss, sharded_logits, datashard_to_features)
if isinstance(sharded_losses, tuple):
nums, dens = sharded_losses
sharded_losses = zip(nums, dens)
training_loss_dict = average_sharded_losses([{
"training": loss
} for loss in sharded_losses])
losses.update(training_loss_dict)
else:
sharded_logits, sharded_losses = dp(self.model_fn, datashard_to_features)
sharded_logits, sharded_losses = dp(
self.maybe_scheduled_sampling,
datashard_to_features, sharded_logits, sharded_losses)
if isinstance(sharded_logits[0], dict):
temp_dict = {k: [] for k, _ in six.iteritems(sharded_logits[0])}
for k, _ in six.iteritems(sharded_logits[0]):
for l in sharded_logits:
temp_dict[k].append(l[k])
sharded_logits = temp_dict
losses = average_sharded_losses(sharded_losses)
return sharded_logits, losses
|
python
|
def model_fn_sharded(self, sharded_features):
"""Estimator model_fn sharded along batch dimension.
Args:
sharded_features: {str: [Tensor]}. Features sharded along batch dimension.
Each list is the same length (== number of shards).
Returns:
sharded_logits: [Tensor]. Logits for each shard of examples.
losses: {str: 0-D Tensor}. Loss averaged across shards.
"""
dp = self._data_parallelism
# [{str: Tensor}]. Transpose of 'sharded_features'.
datashard_to_features = self._to_features_per_datashard(sharded_features)
if self.use_body_sharded():
if self.hparams.scheduled_sampling_prob > 0.0:
raise NotImplementedError(
"Scheduled sampling for non-sharded body only.")
# MoE models override body_sharded
transformed_features = dp(self.bottom, datashard_to_features)
body_out = self.body_sharded(
self._to_single_features_dict(transformed_features))
body_out, losses = self._normalize_body_output(body_out)
if "training" in losses:
log_info("Skipping T2TModel top and loss because training loss "
"returned from body")
sharded_logits = body_out
else:
if isinstance(body_out, dict):
sharded_logits = collections.OrderedDict()
sharded_losses = collections.OrderedDict()
for k, v in sorted(six.iteritems(body_out)):
sharded_logits[k] = dp(self.top, v, datashard_to_features)
sharded_losses[k] = dp(self.loss, sharded_logits[k],
datashard_to_features)
training_loss_dict = average_sharded_losses([({
"training": l
} for l in loss) for loss in sharded_losses.values()])
losses.update(training_loss_dict)
else:
sharded_logits = dp(self.top, body_out, datashard_to_features)
sharded_losses = dp(self.loss, sharded_logits, datashard_to_features)
if isinstance(sharded_losses, tuple):
nums, dens = sharded_losses
sharded_losses = zip(nums, dens)
training_loss_dict = average_sharded_losses([{
"training": loss
} for loss in sharded_losses])
losses.update(training_loss_dict)
else:
sharded_logits, sharded_losses = dp(self.model_fn, datashard_to_features)
sharded_logits, sharded_losses = dp(
self.maybe_scheduled_sampling,
datashard_to_features, sharded_logits, sharded_losses)
if isinstance(sharded_logits[0], dict):
temp_dict = {k: [] for k, _ in six.iteritems(sharded_logits[0])}
for k, _ in six.iteritems(sharded_logits[0]):
for l in sharded_logits:
temp_dict[k].append(l[k])
sharded_logits = temp_dict
losses = average_sharded_losses(sharded_losses)
return sharded_logits, losses
|
[
"def",
"model_fn_sharded",
"(",
"self",
",",
"sharded_features",
")",
":",
"dp",
"=",
"self",
".",
"_data_parallelism",
"# [{str: Tensor}]. Transpose of 'sharded_features'.",
"datashard_to_features",
"=",
"self",
".",
"_to_features_per_datashard",
"(",
"sharded_features",
")",
"if",
"self",
".",
"use_body_sharded",
"(",
")",
":",
"if",
"self",
".",
"hparams",
".",
"scheduled_sampling_prob",
">",
"0.0",
":",
"raise",
"NotImplementedError",
"(",
"\"Scheduled sampling for non-sharded body only.\"",
")",
"# MoE models override body_sharded",
"transformed_features",
"=",
"dp",
"(",
"self",
".",
"bottom",
",",
"datashard_to_features",
")",
"body_out",
"=",
"self",
".",
"body_sharded",
"(",
"self",
".",
"_to_single_features_dict",
"(",
"transformed_features",
")",
")",
"body_out",
",",
"losses",
"=",
"self",
".",
"_normalize_body_output",
"(",
"body_out",
")",
"if",
"\"training\"",
"in",
"losses",
":",
"log_info",
"(",
"\"Skipping T2TModel top and loss because training loss \"",
"\"returned from body\"",
")",
"sharded_logits",
"=",
"body_out",
"else",
":",
"if",
"isinstance",
"(",
"body_out",
",",
"dict",
")",
":",
"sharded_logits",
"=",
"collections",
".",
"OrderedDict",
"(",
")",
"sharded_losses",
"=",
"collections",
".",
"OrderedDict",
"(",
")",
"for",
"k",
",",
"v",
"in",
"sorted",
"(",
"six",
".",
"iteritems",
"(",
"body_out",
")",
")",
":",
"sharded_logits",
"[",
"k",
"]",
"=",
"dp",
"(",
"self",
".",
"top",
",",
"v",
",",
"datashard_to_features",
")",
"sharded_losses",
"[",
"k",
"]",
"=",
"dp",
"(",
"self",
".",
"loss",
",",
"sharded_logits",
"[",
"k",
"]",
",",
"datashard_to_features",
")",
"training_loss_dict",
"=",
"average_sharded_losses",
"(",
"[",
"(",
"{",
"\"training\"",
":",
"l",
"}",
"for",
"l",
"in",
"loss",
")",
"for",
"loss",
"in",
"sharded_losses",
".",
"values",
"(",
")",
"]",
")",
"losses",
".",
"update",
"(",
"training_loss_dict",
")",
"else",
":",
"sharded_logits",
"=",
"dp",
"(",
"self",
".",
"top",
",",
"body_out",
",",
"datashard_to_features",
")",
"sharded_losses",
"=",
"dp",
"(",
"self",
".",
"loss",
",",
"sharded_logits",
",",
"datashard_to_features",
")",
"if",
"isinstance",
"(",
"sharded_losses",
",",
"tuple",
")",
":",
"nums",
",",
"dens",
"=",
"sharded_losses",
"sharded_losses",
"=",
"zip",
"(",
"nums",
",",
"dens",
")",
"training_loss_dict",
"=",
"average_sharded_losses",
"(",
"[",
"{",
"\"training\"",
":",
"loss",
"}",
"for",
"loss",
"in",
"sharded_losses",
"]",
")",
"losses",
".",
"update",
"(",
"training_loss_dict",
")",
"else",
":",
"sharded_logits",
",",
"sharded_losses",
"=",
"dp",
"(",
"self",
".",
"model_fn",
",",
"datashard_to_features",
")",
"sharded_logits",
",",
"sharded_losses",
"=",
"dp",
"(",
"self",
".",
"maybe_scheduled_sampling",
",",
"datashard_to_features",
",",
"sharded_logits",
",",
"sharded_losses",
")",
"if",
"isinstance",
"(",
"sharded_logits",
"[",
"0",
"]",
",",
"dict",
")",
":",
"temp_dict",
"=",
"{",
"k",
":",
"[",
"]",
"for",
"k",
",",
"_",
"in",
"six",
".",
"iteritems",
"(",
"sharded_logits",
"[",
"0",
"]",
")",
"}",
"for",
"k",
",",
"_",
"in",
"six",
".",
"iteritems",
"(",
"sharded_logits",
"[",
"0",
"]",
")",
":",
"for",
"l",
"in",
"sharded_logits",
":",
"temp_dict",
"[",
"k",
"]",
".",
"append",
"(",
"l",
"[",
"k",
"]",
")",
"sharded_logits",
"=",
"temp_dict",
"losses",
"=",
"average_sharded_losses",
"(",
"sharded_losses",
")",
"return",
"sharded_logits",
",",
"losses"
] |
Estimator model_fn sharded along batch dimension.
Args:
sharded_features: {str: [Tensor]}. Features sharded along batch dimension.
Each list is the same length (== number of shards).
Returns:
sharded_logits: [Tensor]. Logits for each shard of examples.
losses: {str: 0-D Tensor}. Loss averaged across shards.
|
[
"Estimator",
"model_fn",
"sharded",
"along",
"batch",
"dimension",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/t2t_model.py#L348-L412
|
train
|
Estimator model_fn sharded along batch dimension.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(1015 - 967) + chr(0b110110), 22008 - 22000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000100 + 0o53) + chr(1091 - 1042) + chr(1702 - 1650) + chr(55), 28341 - 28333), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\x33' + chr(49) + chr(0b110111), 18627 - 18619), ehT0Px3KOsy9(chr(2173 - 2125) + '\157' + chr(1978 - 1928) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(2276 - 2225) + chr(0b110010) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + chr(2469 - 2418) + chr(50) + chr(1438 - 1385), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b110110) + '\x37', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b110100) + '\061', 1341 - 1333), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\064' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(136 - 87) + chr(0b110011 + 0o3) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(0b10110 + 0o35) + chr(0b100 + 0o61) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101101 + 0o4) + chr(54) + '\x32', 50169 - 50161), ehT0Px3KOsy9('\060' + chr(111) + chr(52) + '\065', 6379 - 6371), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b101000 + 0o107) + '\063' + chr(0b1010 + 0o47) + '\060', 55800 - 55792), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(0b110101) + chr(0b10011 + 0o41), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(147 - 92) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\x34' + chr(0b110001 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111 + 0o0) + chr(0b11001 + 0o32) + chr(1411 - 1362), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + chr(50) + chr(0b110001 + 0o0) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(51) + chr(0b110111) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b101101 + 0o3) + chr(457 - 409), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\064' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100001 + 0o21) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(54) + chr(0b11100 + 0o27), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10364 - 10253) + chr(0b10 + 0o60) + chr(583 - 530) + chr(0b10111 + 0o37), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111100 + 0o63) + chr(0b110011) + '\060' + chr(1034 - 983), 0b1000), ehT0Px3KOsy9(chr(719 - 671) + '\x6f' + '\061' + chr(0b110111), 35744 - 35736), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100111 + 0o12) + chr(1038 - 987) + chr(0b110101), 27242 - 27234), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(50) + chr(52) + chr(0b11110 + 0o26), 45290 - 45282), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b1100 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b110011) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(1977 - 1927) + chr(0b110000), 54225 - 54217), ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + '\x33' + chr(0b11001 + 0o32) + chr(0b10 + 0o62), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8756 - 8645) + chr(50) + '\066' + '\x36', 14574 - 14566), ehT0Px3KOsy9(chr(0b110000) + chr(834 - 723) + chr(2407 - 2357) + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b1000 + 0o52) + chr(2294 - 2241), 0o10), ehT0Px3KOsy9(chr(554 - 506) + chr(0b1001 + 0o146) + chr(0b110011) + chr(55) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + '\x31' + chr(48) + chr(1645 - 1592), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(52) + chr(1248 - 1193), 10420 - 10412)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b11100 + 0o123) + '\065' + chr(359 - 311), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8'), chr(100) + '\x65' + '\x63' + chr(8315 - 8204) + '\x64' + chr(5307 - 5206))(chr(0b1110101) + chr(490 - 374) + chr(102) + chr(318 - 273) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def em3TznCagpRa(oVre8I6UXc3b, QcAWCJnnxmD9):
MWX54tC4IhVY = oVre8I6UXc3b._data_parallelism
HG6az72wd9ul = oVre8I6UXc3b._to_features_per_datashard(QcAWCJnnxmD9)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\x14\xaaJ\xb0\xba\x13\x98\xfd\x06\x81\x13W\xacIg'), chr(0b1100011 + 0o1) + chr(0b11001 + 0o114) + '\143' + '\x6f' + chr(0b101111 + 0o65) + chr(8759 - 8658))(chr(0b1110101) + chr(0b1101001 + 0o13) + '\146' + chr(45) + chr(0b101110 + 0o12)))():
if xafqLlk3kkUe(oVre8I6UXc3b.hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4V\xfa&\x81\x970\xd3\xe11\xa5\x02'), chr(0b1000000 + 0o44) + chr(101) + chr(99) + '\x6f' + chr(0b1001101 + 0o27) + '\145')(chr(11673 - 11556) + '\164' + chr(0b110101 + 0o61) + '\055' + '\x38')) > 0.0:
raise _zJ24Vce7wp0(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x04\xa7p\xb6\xa0\x1b\x84\xc6U\x9a\x13H\xb8@j\xd2\x019\xea\x97\xb2\x00\x7f\xdc\xc0\xee|5\xc5a\xfc5\xb8\x96s:\x9e<\x07\xe9\t\xa3l\xfc'), '\144' + chr(0b1100 + 0o131) + '\x63' + '\157' + '\x64' + chr(1283 - 1182))(chr(0b1011001 + 0o34) + chr(0b1110100) + chr(0b1010001 + 0o25) + chr(0b101101) + '\070'))
kRp2XqtfzLyV = MWX54tC4IhVY(oVre8I6UXc3b.kXxsZxlIQUSQ, HG6az72wd9ul)
DCJr93cYwr6E = oVre8I6UXc3b.body_sharded(oVre8I6UXc3b._to_single_features_dict(kRp2XqtfzLyV))
(DCJr93cYwr6E, eJKWkHA7qzlZ) = oVre8I6UXc3b._normalize_body_output(DCJr93cYwr6E)
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x15\xae|\xbc\xbc\x19\x86'), chr(9671 - 9571) + '\x65' + chr(99) + '\157' + chr(3429 - 3329) + chr(6916 - 6815))('\165' + chr(0b1110100) + chr(0b1000110 + 0o40) + '\055' + chr(0b111000)) in eJKWkHA7qzlZ:
iBNBQu99lQEa(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x0c\xa6e\xa2\xbc\x19\x86\x82!\xdb&h\xa7Hf\xd0Fm\xe3\x88\xe0A\x7f\xd7\x8e\xaf`.\xd73\xfa5\xbf\xd7d&\x9feS\xf4\x06\xa6{\xbb\xbb\x10\xc1\xce\x1a\x9a\x01\x05\xbaIw\xc9\x14w\xe9\x9c\xe0Fc\xdc\xc3\xe3m2\xc0j'), chr(0b1011011 + 0o11) + chr(6766 - 6665) + chr(0b1100011) + '\x6f' + chr(5334 - 5234) + chr(8402 - 8301))(chr(117) + '\164' + chr(0b11010 + 0o114) + chr(1866 - 1821) + '\070'))
eSNzTw1MHu10 = DCJr93cYwr6E
elif PlSM16l2KDPD(DCJr93cYwr6E, wLqBDw8l0eIm):
eSNzTw1MHu10 = FGhnnwoh1Dd8.OrderedDict()
Godaj0jaYtK0 = FGhnnwoh1Dd8.OrderedDict()
for (OolUPRJhRaJd, cMbll0QYhULo) in vUlqIvNSaRMa(xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\x13\xaag\xbb\xa1\x12\x8c\xd1'), '\x64' + chr(0b1100101) + chr(0b1000101 + 0o36) + '\x6f' + '\x64' + chr(101))(chr(0b1110101) + chr(3588 - 3472) + chr(0b1100110) + chr(45) + chr(56)))(DCJr93cYwr6E)):
eSNzTw1MHu10[OolUPRJhRaJd] = MWX54tC4IhVY(oVre8I6UXc3b.qxrVBjeryNEZ, cMbll0QYhULo, HG6az72wd9ul)
Godaj0jaYtK0[OolUPRJhRaJd] = MWX54tC4IhVY(oVre8I6UXc3b.YpO0BcZ6fMsf, eSNzTw1MHu10[OolUPRJhRaJd], HG6az72wd9ul)
bVo0Vn2Kg0Ci = f56LhzVHvC64([({xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x15\xae|\xbc\xbc\x19\x86'), chr(5319 - 5219) + '\x65' + chr(99) + chr(111) + chr(0b101 + 0o137) + chr(101))(chr(0b1110101) + chr(11918 - 11802) + '\x66' + chr(0b100000 + 0o15) + '\070'): aLoH_Mt0dzwO} for aLoH_Mt0dzwO in YpO0BcZ6fMsf) for YpO0BcZ6fMsf in Godaj0jaYtK0.SPnCNu54H1db()])
xafqLlk3kkUe(eJKWkHA7qzlZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\x13\x8eP\xbb\x9b=\x8f\xdbA\x8cB'), chr(0b1100100) + chr(5665 - 5564) + '\x63' + chr(0b1101111) + chr(100) + '\145')(chr(3552 - 3435) + chr(116) + chr(102) + chr(0b101101) + '\070'))(bVo0Vn2Kg0Ci)
else:
eSNzTw1MHu10 = MWX54tC4IhVY(oVre8I6UXc3b.qxrVBjeryNEZ, DCJr93cYwr6E, HG6az72wd9ul)
Godaj0jaYtK0 = MWX54tC4IhVY(oVre8I6UXc3b.YpO0BcZ6fMsf, eSNzTw1MHu10, HG6az72wd9ul)
if PlSM16l2KDPD(Godaj0jaYtK0, KNyTy8rYcwji):
(uHU1bo3VtG7b, eWZuF0ZggSQK) = Godaj0jaYtK0
Godaj0jaYtK0 = pZ0NK2y6HRbn(uHU1bo3VtG7b, eWZuF0ZggSQK)
bVo0Vn2Kg0Ci = f56LhzVHvC64([{xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x15\xae|\xbc\xbc\x19\x86'), chr(0b1100011 + 0o1) + chr(101) + chr(0b1100011) + chr(6405 - 6294) + chr(0b1110 + 0o126) + chr(0b1010100 + 0o21))('\x75' + chr(0b1010101 + 0o37) + chr(7168 - 7066) + chr(0b101101) + chr(0b111000)): YpO0BcZ6fMsf} for YpO0BcZ6fMsf in Godaj0jaYtK0])
xafqLlk3kkUe(eJKWkHA7qzlZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\x13\x8eP\xbb\x9b=\x8f\xdbA\x8cB'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b1101 + 0o142) + chr(100) + '\145')(chr(0b1010010 + 0o43) + '\x74' + chr(0b1011010 + 0o14) + '\055' + '\070'))(bVo0Vn2Kg0Ci)
else:
(eSNzTw1MHu10, Godaj0jaYtK0) = MWX54tC4IhVY(oVre8I6UXc3b.model_fn, HG6az72wd9ul)
(eSNzTw1MHu10, Godaj0jaYtK0) = MWX54tC4IhVY(oVre8I6UXc3b.maybe_scheduled_sampling, HG6az72wd9ul, eSNzTw1MHu10, Godaj0jaYtK0)
if PlSM16l2KDPD(eSNzTw1MHu10[ehT0Px3KOsy9(chr(48) + chr(111) + '\x30', 0b1000)], wLqBDw8l0eIm):
tHSyuQMS5reA = {OolUPRJhRaJd: [] for (OolUPRJhRaJd, VNGQdHSFPrso) in sYby0kpfssd4.iteritems(eSNzTw1MHu10[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\060', 8)])}
for (OolUPRJhRaJd, VNGQdHSFPrso) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\x13\xaag\xbb\xa1\x12\x8c\xd1'), '\x64' + chr(0b111001 + 0o54) + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1110101) + '\164' + '\146' + chr(0b101101) + '\070'))(eSNzTw1MHu10[ehT0Px3KOsy9('\x30' + chr(9107 - 8996) + chr(48), 8)]):
for aLoH_Mt0dzwO in eSNzTw1MHu10:
xafqLlk3kkUe(tHSyuQMS5reA[OolUPRJhRaJd], xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\x17\xbfp\xbc\xb1'), chr(1937 - 1837) + '\145' + chr(99) + chr(0b1101111) + '\x64' + chr(101))(chr(0b1011010 + 0o33) + chr(9717 - 9601) + '\x66' + '\055' + chr(0b1001 + 0o57)))(aLoH_Mt0dzwO[OolUPRJhRaJd])
eSNzTw1MHu10 = tHSyuQMS5reA
eJKWkHA7qzlZ = f56LhzVHvC64(Godaj0jaYtK0)
return (eSNzTw1MHu10, eJKWkHA7qzlZ)
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.