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tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
get_revisions
|
def get_revisions(page):
"""Extract the revisions of a page.
Args:
page: a string
Returns:
a list of strings
"""
start_string = " <revision>\n"
end_string = " </revision>\n"
ret = []
current_pos = 0
while True:
start_pos = page.find(start_string, current_pos)
if start_pos == -1:
break
end_pos = page.find(end_string, start_pos)
assert end_pos != -1
ret.append(page[start_pos + len(start_string):end_pos])
current_pos = end_pos + len(end_string)
return ret
|
python
|
def get_revisions(page):
"""Extract the revisions of a page.
Args:
page: a string
Returns:
a list of strings
"""
start_string = " <revision>\n"
end_string = " </revision>\n"
ret = []
current_pos = 0
while True:
start_pos = page.find(start_string, current_pos)
if start_pos == -1:
break
end_pos = page.find(end_string, start_pos)
assert end_pos != -1
ret.append(page[start_pos + len(start_string):end_pos])
current_pos = end_pos + len(end_string)
return ret
|
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Extract the revisions of a page.
Args:
page: a string
Returns:
a list of strings
|
[
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"a",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L134-L154
|
train
|
Extract the revisions of a page.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2147 - 2099) + '\157' + '\x32' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + '\065' + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + chr(0b111 + 0o54) + chr(0b110 + 0o56) + chr(0b1111 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(513 - 462) + '\x30' + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(5670 - 5559) + '\062' + chr(0b11101 + 0o24) + '\060', 41800 - 41792), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\064', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b11001 + 0o34) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(0b101000 + 0o11) + chr(0b1010 + 0o50) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(290 - 241) + chr(471 - 416) + chr(0b11010 + 0o32), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\065' + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(4136 - 4025) + chr(50) + '\063' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\062', 8), ehT0Px3KOsy9('\x30' + chr(9159 - 9048) + chr(49) + chr(54) + chr(0b110 + 0o56), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(313 - 262) + chr(51) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\063' + chr(0b100110 + 0o14) + chr(0b100101 + 0o16), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110100) + chr(916 - 868), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1 + 0o60) + chr(48) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1649 - 1601) + '\157' + chr(51) + chr(1886 - 1835) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\062' + '\067' + '\065', 36878 - 36870), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1111 + 0o43) + chr(0b11001 + 0o32) + chr(2841 - 2786), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(2332 - 2281) + '\x31' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(5707 - 5596) + '\x31' + chr(2497 - 2447) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(133 - 79), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(680 - 631) + '\x36' + chr(1486 - 1433), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100000 + 0o22), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\060' + chr(974 - 925), 23300 - 23292), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1662 - 1612) + '\x30' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b101101 + 0o102) + '\x33' + '\060' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\065' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b11 + 0o154) + chr(249 - 198) + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\x36' + '\x31', 34880 - 34872), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\066' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1981 - 1933) + chr(111) + chr(414 - 363) + chr(0b11010 + 0o33) + chr(0b1101 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1727 - 1678) + chr(0b110110) + chr(204 - 155), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\061' + chr(0b110001), 25256 - 25248), ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + chr(49) + '\067' + chr(2003 - 1948), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(7184 - 7073) + chr(0b110101) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'<'), chr(100) + chr(0b1001110 + 0o27) + chr(1173 - 1074) + chr(9781 - 9670) + chr(0b1100100) + chr(0b100101 + 0o100))(chr(117) + '\164' + chr(0b1100110) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def dqxorSAQ2Zow(Voe3WRW7deL_):
UH_FGzZ7e4wc = xafqLlk3kkUe(SXOLrMavuUCe(b'2\x0c\xc3\xe29\xfay\x1e<\x0fB\xf5|J\xd2'), chr(100) + chr(0b11110 + 0o107) + '\x63' + chr(111) + '\x64' + chr(2327 - 2226))('\165' + chr(0b1000 + 0o154) + chr(102) + chr(45) + chr(570 - 514))
vO9WT4sy9M9j = xafqLlk3kkUe(SXOLrMavuUCe(b'2\x0c\xc3\xe29\xa7n\r#\x15X\xf3}\x1a\xe6\xd9'), '\x64' + chr(0b10000 + 0o125) + chr(6139 - 6040) + '\157' + '\x64' + chr(101))(chr(0b10111 + 0o136) + chr(0b1110100) + chr(6658 - 6556) + chr(45) + '\x38')
VHn4CV4Ymrei = []
ZnCbILVVYDXi = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 0o10)
while ehT0Px3KOsy9('\060' + chr(111) + '\x31', 8):
hDRa8Mx_sca6 = Voe3WRW7deL_.find(UH_FGzZ7e4wc, ZnCbILVVYDXi)
if hDRa8Mx_sca6 == -ehT0Px3KOsy9(chr(0b110000) + chr(10914 - 10803) + '\x31', 8):
break
QlnLpa5TXz3x = Voe3WRW7deL_.find(vO9WT4sy9M9j, hDRa8Mx_sca6)
assert QlnLpa5TXz3x != -ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 8)
xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b's\\\x93\xa7k\xec'), chr(100) + '\145' + chr(99) + '\157' + '\x64' + '\145')(chr(0b1010000 + 0o45) + '\164' + chr(0b1100110) + chr(0b101101) + chr(56)))(Voe3WRW7deL_[hDRa8Mx_sca6 + c2A0yzQpDQB3(UH_FGzZ7e4wc):QlnLpa5TXz3x])
ZnCbILVVYDXi = QlnLpa5TXz3x + c2A0yzQpDQB3(vO9WT4sy9M9j)
return VHn4CV4Ymrei
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
parse_page
|
def parse_page(raw_page):
"""Create a dictionary with title, id, and list of revisions.
The dictionary contains:
"title": a string
"id": an integer
"revisions": a list of strings
Args:
raw_page: a string
Returns:
a dictionary, or None in the case of an error.
"""
ret = {"title": get_title(raw_page), "id": get_id(raw_page)}
if ":" in ret["title"]:
return None
ret["revisions"] = get_revisions(raw_page)
return ret
|
python
|
def parse_page(raw_page):
"""Create a dictionary with title, id, and list of revisions.
The dictionary contains:
"title": a string
"id": an integer
"revisions": a list of strings
Args:
raw_page: a string
Returns:
a dictionary, or None in the case of an error.
"""
ret = {"title": get_title(raw_page), "id": get_id(raw_page)}
if ":" in ret["title"]:
return None
ret["revisions"] = get_revisions(raw_page)
return ret
|
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"]",
"=",
"get_revisions",
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")",
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] |
Create a dictionary with title, id, and list of revisions.
The dictionary contains:
"title": a string
"id": an integer
"revisions": a list of strings
Args:
raw_page: a string
Returns:
a dictionary, or None in the case of an error.
|
[
"Create",
"a",
"dictionary",
"with",
"title",
"id",
"and",
"list",
"of",
"revisions",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L157-L175
|
train
|
Parse a page into a dictionary with title id and list of revisions.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(3180 - 3069) + chr(49) + chr(0b110101) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(770 - 720) + chr(0b110101 + 0o2) + chr(0b110000), 34835 - 34827), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + chr(0b1 + 0o60) + chr(2340 - 2289) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(51) + chr(0b110010) + chr(1390 - 1337), 0o10), ehT0Px3KOsy9(chr(1477 - 1429) + '\157' + chr(0b110011) + chr(0b110001) + '\x37', 0o10), ehT0Px3KOsy9(chr(738 - 690) + chr(111) + chr(0b10101 + 0o35) + chr(49) + chr(0b100111 + 0o11), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(406 - 355) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1151 - 1103) + '\x6f' + chr(1223 - 1173) + '\x33' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(0b10 + 0o61) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4118 - 4007) + chr(50) + chr(513 - 465) + '\067', 41862 - 41854), ehT0Px3KOsy9('\060' + chr(8877 - 8766) + chr(0b110100) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5674 - 5563) + chr(50) + chr(326 - 278) + chr(2672 - 2620), 57151 - 57143), ehT0Px3KOsy9(chr(555 - 507) + chr(10864 - 10753) + '\066' + '\063', 32368 - 32360), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + chr(0b1100 + 0o47) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10010 + 0o37) + '\064' + chr(1332 - 1281), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b110111) + chr(48), 34392 - 34384), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10100 + 0o37), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1 + 0o60) + '\x30' + chr(53), 50932 - 50924), ehT0Px3KOsy9(chr(1276 - 1228) + chr(0b1101111) + chr(0b110001) + chr(0b110000) + chr(51), 43282 - 43274), ehT0Px3KOsy9(chr(1640 - 1592) + chr(9343 - 9232) + '\063' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + chr(2247 - 2197) + chr(0b100100 + 0o21) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(3278 - 3167) + chr(51) + '\060' + chr(53), 37079 - 37071), ehT0Px3KOsy9(chr(0b110000) + chr(6956 - 6845) + '\066' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\x33' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(4795 - 4684) + chr(0b101010 + 0o11) + chr(789 - 740) + chr(1129 - 1080), 33565 - 33557), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b11110 + 0o26) + chr(1676 - 1626), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\x34' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1173 - 1125) + '\x6f' + chr(0b11101 + 0o24) + '\065' + chr(0b11101 + 0o32), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + chr(50) + '\x31' + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(53) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100101 + 0o16) + '\066' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1727 - 1678) + chr(54) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2327 - 2278) + '\062' + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b110010) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1638 - 1590) + '\157' + chr(0b110011) + chr(0b110000) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(325 - 277), 24417 - 24409), ehT0Px3KOsy9('\x30' + chr(287 - 176) + chr(2344 - 2294) + '\x32' + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + chr(0b1101100 + 0o3) + chr(51) + chr(0b110111) + '\063', 0b1000), ehT0Px3KOsy9(chr(560 - 512) + '\x6f' + chr(1999 - 1948) + chr(0b110101), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(444 - 394) + chr(1157 - 1108) + '\062', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + chr(2224 - 2171) + chr(48), 3424 - 3416)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'C'), chr(0b101000 + 0o74) + '\145' + '\143' + chr(111) + '\144' + '\x65')('\165' + chr(116) + chr(4733 - 4631) + chr(0b101101) + chr(124 - 68)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ukchra_XoPCJ(i1SZwVQLEmFH):
VHn4CV4Ymrei = {xafqLlk3kkUe(SXOLrMavuUCe(b'\x19\xd1.\xb9\xaa'), chr(9700 - 9600) + chr(101) + chr(0b1100 + 0o127) + chr(111) + chr(100) + chr(0b10 + 0o143))(chr(0b11001 + 0o134) + chr(116) + '\x66' + chr(0b101101) + '\x38'): xmhu8xMJ3ow0(i1SZwVQLEmFH), xafqLlk3kkUe(SXOLrMavuUCe(b'\x04\xdc'), '\144' + chr(0b1100101) + chr(9101 - 9002) + chr(0b1101000 + 0o7) + '\144' + chr(101))('\165' + chr(9508 - 9392) + chr(0b1100110) + chr(0b101101) + '\070'): hj2RXUyjWWEj(i1SZwVQLEmFH)}
if xafqLlk3kkUe(SXOLrMavuUCe(b'W'), chr(0b1011101 + 0o7) + chr(101) + chr(99) + chr(0b1101111) + '\x64' + chr(0b1100101))('\165' + chr(0b1001 + 0o153) + chr(4625 - 4523) + chr(45) + chr(0b111000)) in VHn4CV4Ymrei[xafqLlk3kkUe(SXOLrMavuUCe(b'\x19\xd1.\xb9\xaa'), '\144' + chr(3724 - 3623) + chr(0b1001001 + 0o32) + chr(111) + chr(0b111101 + 0o47) + '\x65')(chr(0b1110101) + chr(0b1101011 + 0o11) + '\146' + chr(0b101101) + chr(0b101111 + 0o11))]:
return None
VHn4CV4Ymrei[xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f\xdd,\xbc\xbc\xe1s\xf3n'), chr(0b1100000 + 0o4) + '\x65' + '\143' + '\157' + '\x64' + chr(101))('\165' + chr(0b1000001 + 0o63) + '\x66' + chr(1425 - 1380) + '\070')] = dqxorSAQ2Zow(i1SZwVQLEmFH)
return VHn4CV4Ymrei
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
maybe_copy_file_to_directory
|
def maybe_copy_file_to_directory(source_filepath, target_directory):
"""Copy a file to a directory if it is not already there.
Returns the target filepath.
Args:
source_filepath: a string
target_directory: a string
Returns:
a string
"""
if not tf.gfile.Exists(target_directory):
tf.logging.info("Creating directory %s" % target_directory)
os.mkdir(target_directory)
target_filepath = os.path.join(target_directory,
os.path.basename(source_filepath))
if not tf.gfile.Exists(target_filepath):
tf.logging.info("Copying %s to %s" % (source_filepath, target_filepath))
tf.gfile.Copy(source_filepath, target_filepath)
statinfo = os.stat(target_filepath)
tf.logging.info("Successfully copied %s, %s bytes." % (target_filepath,
statinfo.st_size))
else:
tf.logging.info("Not copying, file already found: %s" % target_filepath)
return target_filepath
|
python
|
def maybe_copy_file_to_directory(source_filepath, target_directory):
"""Copy a file to a directory if it is not already there.
Returns the target filepath.
Args:
source_filepath: a string
target_directory: a string
Returns:
a string
"""
if not tf.gfile.Exists(target_directory):
tf.logging.info("Creating directory %s" % target_directory)
os.mkdir(target_directory)
target_filepath = os.path.join(target_directory,
os.path.basename(source_filepath))
if not tf.gfile.Exists(target_filepath):
tf.logging.info("Copying %s to %s" % (source_filepath, target_filepath))
tf.gfile.Copy(source_filepath, target_filepath)
statinfo = os.stat(target_filepath)
tf.logging.info("Successfully copied %s, %s bytes." % (target_filepath,
statinfo.st_size))
else:
tf.logging.info("Not copying, file already found: %s" % target_filepath)
return target_filepath
|
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] |
Copy a file to a directory if it is not already there.
Returns the target filepath.
Args:
source_filepath: a string
target_directory: a string
Returns:
a string
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L178-L203
|
train
|
Copy a file to a directory if it is not already there.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b10011 + 0o134) + chr(0b1010 + 0o47) + '\x32' + chr(0b100000 + 0o24), 47527 - 47519), ehT0Px3KOsy9('\060' + '\157' + '\066' + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(52) + chr(52), 0o10), ehT0Px3KOsy9(chr(107 - 59) + chr(111) + chr(50) + chr(0b11100 + 0o31) + chr(233 - 180), 0o10), ehT0Px3KOsy9('\x30' + chr(6416 - 6305) + '\061' + '\x37' + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1331 - 1282) + chr(0b110000 + 0o1) + chr(68 - 14), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12064 - 11953) + chr(0b110001) + chr(53) + '\061', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b110100) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + '\061' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\060' + chr(0b10 + 0o61), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b101010 + 0o7) + chr(0b110110), 12699 - 12691), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + '\062' + chr(1904 - 1852) + chr(54), 64067 - 64059), ehT0Px3KOsy9(chr(670 - 622) + '\157' + '\x33' + chr(51) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(119 - 68) + '\067' + chr(0b11011 + 0o30), 49046 - 49038), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + '\061' + '\x32' + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(260 - 209) + chr(2469 - 2417) + '\066', 8843 - 8835), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(600 - 547), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b110000) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000 + 0o1) + chr(695 - 641) + '\064', 45956 - 45948), ehT0Px3KOsy9(chr(798 - 750) + chr(0b1101111) + chr(445 - 392) + chr(1524 - 1472), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b10000 + 0o137) + '\x33' + chr(48) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(1196 - 1147) + chr(0b11000 + 0o37), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12214 - 12103) + chr(50) + '\067' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2133 - 2022) + '\065' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1411 - 1361) + '\x33' + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100010 + 0o21) + chr(2932 - 2877) + chr(0b110 + 0o53), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b110011) + '\066' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(9968 - 9857) + chr(1299 - 1250) + chr(833 - 785) + chr(0b100 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10 + 0o155) + chr(0b100100 + 0o17) + '\x30' + chr(50), 8), ehT0Px3KOsy9(chr(48) + chr(6468 - 6357) + chr(49) + '\x32' + chr(1638 - 1583), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011001 + 0o26) + '\062' + chr(1098 - 1044) + '\x36', 0b1000), ehT0Px3KOsy9(chr(2059 - 2011) + chr(0b1101111) + '\062' + chr(0b11100 + 0o26), 34634 - 34626), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(55) + chr(2561 - 2506), 0b1000), ehT0Px3KOsy9(chr(1002 - 954) + chr(0b110110 + 0o71) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + '\x31' + '\063' + '\x35', 0o10), ehT0Px3KOsy9(chr(462 - 414) + chr(495 - 384) + chr(2412 - 2362) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(1456 - 1408) + chr(0b1101111) + chr(0b110010) + '\x33' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b10111 + 0o36) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x30' + '\x32', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(542 - 494) + '\157' + chr(0b110101) + chr(0b11001 + 0o27), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'z'), '\x64' + chr(101) + chr(0b1100011) + chr(5911 - 5800) + chr(100) + chr(101))(chr(4763 - 4646) + chr(116) + chr(3382 - 3280) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def KyNBxqlGVHaJ(PHewjU6FTtJ7, JUTmYGGLFym6):
if not xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11I\xcd\xde\x0b='), '\144' + chr(0b1001 + 0o134) + '\x63' + '\157' + '\144' + chr(0b1011100 + 0o11))('\165' + '\164' + '\146' + chr(1733 - 1688) + '\x38'))(JUTmYGGLFym6):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\x06\xec\xd5\n-\x0e\xd5b\xaf\x94\xcd'), '\x64' + '\x65' + chr(0b11101 + 0o106) + chr(3712 - 3601) + chr(0b1010111 + 0o15) + chr(9074 - 8973))(chr(3348 - 3231) + '\x74' + chr(5890 - 5788) + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b"\x17C\xc1\xcc\x0b'\x07\x85(\xa7\xa7\xd4\xb9\x98 \x89o>T\t\xb1"), chr(100) + chr(0b110 + 0o137) + chr(99) + chr(0b1101111) + chr(448 - 348) + chr(0b11110 + 0o107))(chr(9743 - 9626) + chr(116) + chr(0b1000110 + 0o40) + '\x2d' + chr(0b100000 + 0o30)) % JUTmYGGLFym6)
xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'9Z\xc0\xc4\r'), chr(100) + chr(101) + chr(0b100001 + 0o102) + chr(8464 - 8353) + chr(100) + chr(9966 - 9865))('\165' + chr(0b11010 + 0o132) + chr(102) + chr(45) + chr(1726 - 1670)))(JUTmYGGLFym6)
KgPC4KzIIniZ = oqhJDdMJfuwx.path.join(JUTmYGGLFym6, oqhJDdMJfuwx.path.basename(PHewjU6FTtJ7))
if not xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11I\xcd\xde\x0b='), chr(0b10000 + 0o124) + '\x65' + chr(9513 - 9414) + '\157' + '\144' + chr(8958 - 8857))(chr(117) + '\164' + chr(0b1100110) + '\055' + '\070'))(KgPC4KzIIniZ):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\x06\xec\xd5\n-\x0e\xd5b\xaf\x94\xcd'), chr(0b11111 + 0o105) + chr(101) + '\x63' + chr(0b1101111) + chr(100) + chr(2312 - 2211))('\165' + chr(116) + chr(1072 - 970) + '\x2d' + chr(0b110110 + 0o2)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x17^\xd4\xd4\x16 \x0e\xc2-\xb0\xee\xd2\xb3\xdbq\x95'), chr(2340 - 2240) + chr(0b1110 + 0o127) + chr(0b101 + 0o136) + chr(111) + chr(0b110100 + 0o60) + '\145')(chr(3412 - 3295) + chr(116) + '\146' + '\055' + chr(56)) % (PHewjU6FTtJ7, KgPC4KzIIniZ))
xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17^\xd4\xd4'), chr(0b1100100) + chr(101) + chr(5479 - 5380) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(56)))(PHewjU6FTtJ7, KgPC4KzIIniZ)
obVV_qJ6APaz = oqhJDdMJfuwx.stat(KgPC4KzIIniZ)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\x06\xec\xd5\n-\x0e\xd5b\xaf\x94\xcd'), chr(100) + chr(0b11011 + 0o112) + chr(99) + chr(111) + chr(0b10001 + 0o123) + chr(0b1000000 + 0o45))('\x75' + chr(116) + chr(0b1100110) + chr(0b1011 + 0o42) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x07D\xc7\xce\x1a=\x1a\x84}\xaf\xa2\xdf\xfc\x98;\x96t"\x10\x0c\xe7|\x97\t\xbd~\xd9\x96?\xb62\xc5<'), '\x64' + '\145' + '\143' + chr(0b101100 + 0o103) + chr(0b1100100) + '\145')(chr(117) + chr(116) + chr(620 - 518) + '\x2d' + chr(81 - 25)) % (KgPC4KzIIniZ, xafqLlk3kkUe(obVV_qJ6APaz, xafqLlk3kkUe(SXOLrMavuUCe(b"'E\xfb\xde\x164\x0c"), chr(4132 - 4032) + chr(101) + chr(0b10011 + 0o120) + chr(111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(8150 - 8034) + '\146' + '\055' + '\x38'))))
else:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\x06\xec\xd5\n-\x0e\xd5b\xaf\x94\xcd'), '\x64' + '\145' + '\143' + '\x6f' + chr(0b11 + 0o141) + chr(101))(chr(0b1000101 + 0o60) + chr(116) + '\146' + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a^\xd0\x8d\x1c!\x19\x9ba\xad\xa9\x8a\xfc\x9d=\x8axg\x15@\xb0j\xdaM\xe1-\x9f\x9b3\xac3\x8c2\x1at'), chr(4141 - 4041) + chr(0b110010 + 0o63) + chr(0b101111 + 0o64) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b101111 + 0o105) + chr(0b1000101 + 0o41) + '\x2d' + '\x38') % KgPC4KzIIniZ)
return KgPC4KzIIniZ
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
corpus_page_generator
|
def corpus_page_generator(corpus_files, tmp_dir, max_page_size_exp):
"""Generate pages from a list of .7z encoded history dumps.
Args:
corpus_files: a list of strings
tmp_dir: a string
max_page_size_exp: an integer
Yields:
strings
"""
for remote_filepath in corpus_files:
filepath = maybe_copy_file_to_directory(remote_filepath, tmp_dir)
tf.logging.info("Reading from " + filepath)
command = ["7z", "x", "-so", filepath]
tf.logging.info("Running command: %s", command)
p = subprocess.Popen(command, stdout=subprocess.PIPE, bufsize=-1)
for page in file_page_generator(p.stdout, 2**max_page_size_exp):
yield page
|
python
|
def corpus_page_generator(corpus_files, tmp_dir, max_page_size_exp):
"""Generate pages from a list of .7z encoded history dumps.
Args:
corpus_files: a list of strings
tmp_dir: a string
max_page_size_exp: an integer
Yields:
strings
"""
for remote_filepath in corpus_files:
filepath = maybe_copy_file_to_directory(remote_filepath, tmp_dir)
tf.logging.info("Reading from " + filepath)
command = ["7z", "x", "-so", filepath]
tf.logging.info("Running command: %s", command)
p = subprocess.Popen(command, stdout=subprocess.PIPE, bufsize=-1)
for page in file_page_generator(p.stdout, 2**max_page_size_exp):
yield page
|
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",",
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"max_page_size_exp",
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"yield",
"page"
] |
Generate pages from a list of .7z encoded history dumps.
Args:
corpus_files: a list of strings
tmp_dir: a string
max_page_size_exp: an integer
Yields:
strings
|
[
"Generate",
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"7z",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L206-L228
|
train
|
Generator for the file_page_generator function.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\062' + chr(2310 - 2259), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10111 + 0o32) + chr(0b110 + 0o60) + chr(379 - 331), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10101 + 0o35) + chr(50) + chr(49), 5676 - 5668), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\x34', 5749 - 5741), ehT0Px3KOsy9(chr(853 - 805) + chr(10564 - 10453) + '\x32' + '\061' + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + chr(1966 - 1917) + chr(55) + chr(0b1110 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b111111 + 0o60) + chr(0b110011) + chr(0b110100) + '\x36', 19971 - 19963), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\065' + chr(0b110010), 55527 - 55519), ehT0Px3KOsy9(chr(1370 - 1322) + chr(0b1011011 + 0o24) + chr(0b110010) + chr(49) + chr(0b100 + 0o61), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2382 - 2331) + chr(0b11000 + 0o34) + chr(1777 - 1729), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + '\x33' + chr(0b110010) + chr(1589 - 1534), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(0b110001) + chr(0b110 + 0o61) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(1128 - 1075) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011 + 0o0) + chr(342 - 290) + chr(0b110001), 246 - 238), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + '\x32' + '\x37' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b110110) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(338 - 287) + chr(1587 - 1533), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110011 + 0o74) + chr(51) + chr(0b110101) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(223 - 175) + chr(3661 - 3550) + chr(0b110010) + chr(2401 - 2351) + '\x37', 28389 - 28381), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b111 + 0o57) + chr(0b10110 + 0o36), 30447 - 30439), ehT0Px3KOsy9('\060' + chr(0b1000 + 0o147) + chr(0b110011) + chr(0b10100 + 0o35) + chr(0b101100 + 0o7), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110111) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1285 - 1237) + chr(0b1101111) + chr(51) + chr(0b110100) + '\x30', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110000) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b110001) + chr(2040 - 1987), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b101000 + 0o17) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b100010 + 0o23) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2537 - 2482) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b111 + 0o54) + chr(2030 - 1977) + chr(0b100100 + 0o17), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1021 - 972) + '\062' + chr(0b100010 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(180 - 130) + chr(0b110001) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3234 - 3123) + '\063' + '\067' + chr(0b110001 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b10011 + 0o43) + '\060', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\064' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + '\x32' + chr(0b110010 + 0o5) + chr(0b110000), 60611 - 60603), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(616 - 566) + chr(0b110110) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(0b110001) + chr(52) + chr(756 - 702), 24089 - 24081), ehT0Px3KOsy9(chr(1602 - 1554) + chr(0b1101111) + chr(1931 - 1877) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\060' + chr(220 - 172), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + '\063' + chr(636 - 585) + chr(323 - 275), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110101) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd'), chr(7409 - 7309) + chr(1198 - 1097) + chr(99) + chr(0b111111 + 0o60) + chr(0b100010 + 0o102) + chr(0b11001 + 0o114))(chr(0b100100 + 0o121) + '\164' + '\146' + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gWz_yTTxZTHf(nvyDSg6LGE_h, JsZ36NJUqtml, B1BxD3ZVhQ6J):
for JaPyusujm6aB in nvyDSg6LGE_h:
D3zslhgxMHWQ = KyNBxqlGVHaJ(JaPyusujm6aB, JsZ36NJUqtml)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x80G\xd9d\xfc\x1d\x81\x9d\xe7\x8c\x8d\x10'), chr(0b1011100 + 0o10) + '\x65' + chr(6755 - 6656) + '\x6f' + chr(0b111001 + 0o53) + '\145')('\165' + chr(7131 - 7015) + chr(0b10 + 0o144) + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\x15\xf0x\xe0\x10\x81\x8a\xeb\x92\xb8\x16K'), '\144' + '\x65' + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1000100 + 0o41))(chr(0b1110101) + chr(116) + chr(0b1011111 + 0o7) + '\055' + chr(56)) + D3zslhgxMHWQ)
CVh_Z3xeqjku = [xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\n'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(5285 - 5185) + chr(579 - 478))(chr(9917 - 9800) + chr(116) + '\146' + chr(0b10110 + 0o27) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xab'), '\x64' + '\145' + chr(0b1100011) + '\x6f' + chr(9288 - 9188) + chr(101))('\165' + chr(0b1110100) + chr(9431 - 9329) + chr(0b101101) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe\x03\xfe'), '\x64' + chr(0b110100 + 0o61) + '\x63' + '\157' + chr(100) + chr(0b10101 + 0o120))(chr(0b1101110 + 0o7) + '\164' + chr(102) + chr(0b101101) + chr(0b11111 + 0o31)), D3zslhgxMHWQ]
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x80G\xd9d\xfc\x1d\x81\x9d\xe7\x8c\x8d\x10'), '\x64' + chr(9233 - 9132) + '\x63' + chr(0b1101111) + '\144' + chr(837 - 736))('\165' + chr(8511 - 8395) + chr(0b11000 + 0o116) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\x05\xffr\xe0\x10\x81\x8a\xee\x8f\xba\x16\n\x8f\xdb\x0b\xbe\xcb\xe4'), '\144' + '\x65' + chr(0b10100 + 0o117) + chr(111) + chr(0b11101 + 0o107) + chr(0b1100101))(chr(0b11000 + 0o135) + chr(0b1110100) + chr(0b1100110) + chr(237 - 192) + '\x38'), CVh_Z3xeqjku)
UyakMW2IMFEj = SorA9b5x63bd.Popen(CVh_Z3xeqjku, stdout=SorA9b5x63bd.PIPE, bufsize=-ehT0Px3KOsy9('\x30' + chr(0b101 + 0o152) + chr(0b100101 + 0o14), ord("\x08")))
for Voe3WRW7deL_ in IrIIqi9QI7OV(xafqLlk3kkUe(UyakMW2IMFEj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0\x04\xf5s\xfc\n'), chr(0b1100100) + chr(6942 - 6841) + '\x63' + chr(111) + chr(8680 - 8580) + chr(3458 - 3357))(chr(0b11111 + 0o126) + '\x74' + '\146' + '\x2d' + '\x38')), ehT0Px3KOsy9('\060' + chr(11529 - 11418) + '\x32', 0b1000) ** B1BxD3ZVhQ6J):
yield Voe3WRW7deL_
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
get_text
|
def get_text(revision, strip=True):
"""Extract the text from a revision.
Args:
revision: a string
strip: a boolean
Returns:
a string
"""
# text start tag looks like "<text ..otherstuff>"
start_pos = revision.find("<text")
assert start_pos != -1
end_tag_pos = revision.find(">", start_pos)
assert end_tag_pos != -1
end_tag_pos += len(">")
end_pos = revision.find("</text>")
if end_pos == -1:
ret = ""
else:
ret = revision[end_tag_pos:end_pos]
if strip:
ret = strip_text(ret)
ret = text_encoder.to_unicode_utf8(ret)
return ret
|
python
|
def get_text(revision, strip=True):
"""Extract the text from a revision.
Args:
revision: a string
strip: a boolean
Returns:
a string
"""
# text start tag looks like "<text ..otherstuff>"
start_pos = revision.find("<text")
assert start_pos != -1
end_tag_pos = revision.find(">", start_pos)
assert end_tag_pos != -1
end_tag_pos += len(">")
end_pos = revision.find("</text>")
if end_pos == -1:
ret = ""
else:
ret = revision[end_tag_pos:end_pos]
if strip:
ret = strip_text(ret)
ret = text_encoder.to_unicode_utf8(ret)
return ret
|
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")",
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"=",
"text_encoder",
".",
"to_unicode_utf8",
"(",
"ret",
")",
"return",
"ret"
] |
Extract the text from a revision.
Args:
revision: a string
strip: a boolean
Returns:
a string
|
[
"Extract",
"the",
"text",
"from",
"a",
"revision",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L231-L255
|
train
|
Extract the text from a revision.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(716 - 668) + chr(0b1101111) + chr(50) + chr(49) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(1424 - 1375) + chr(753 - 701), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + chr(0b1100 + 0o46) + chr(51) + chr(0b111 + 0o56), 63031 - 63023), ehT0Px3KOsy9(chr(1163 - 1115) + chr(0b1010010 + 0o35) + '\067' + chr(0b110100), 22754 - 22746), ehT0Px3KOsy9('\x30' + chr(8568 - 8457) + chr(52) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(2290 - 2242) + chr(0b1101111) + chr(51) + chr(50) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(0b110011) + chr(0b110110 + 0o1), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1876 - 1765) + '\x33' + chr(2751 - 2697) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(749 - 694) + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100110 + 0o11) + '\x33' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(4839 - 4728) + '\x33' + '\x37' + '\062', 0o10), ehT0Px3KOsy9(chr(1169 - 1121) + chr(0b100 + 0o153) + chr(2263 - 2212) + chr(52) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x37', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2520 - 2467) + chr(55), 44716 - 44708), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(0b11111 + 0o22) + chr(52) + chr(1692 - 1641), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000000 + 0o57) + chr(0b100 + 0o55) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(1076 - 1021) + chr(1696 - 1644), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\x34' + chr(0b101111 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(1011 - 963) + '\x6f' + chr(51) + '\061' + chr(0b10000 + 0o40), 0o10), ehT0Px3KOsy9(chr(1422 - 1374) + '\157' + chr(0b110101) + chr(54), 3679 - 3671), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(51) + '\x34', 0b1000), ehT0Px3KOsy9(chr(1107 - 1059) + '\157' + '\x32' + chr(351 - 301) + chr(2460 - 2406), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b10001 + 0o43) + '\x34', 0o10), ehT0Px3KOsy9(chr(1152 - 1104) + '\x6f' + '\x32' + chr(0b11010 + 0o26) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(10410 - 10299) + chr(0b1000 + 0o52) + '\x37' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1682 - 1634) + chr(111) + '\064' + chr(511 - 458), 8), ehT0Px3KOsy9('\060' + chr(7006 - 6895) + chr(292 - 243) + '\x35', 0b1000), ehT0Px3KOsy9(chr(1149 - 1101) + '\157' + '\061' + chr(1718 - 1669) + chr(0b11100 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10548 - 10437) + chr(50) + chr(0b110110) + chr(55), 6091 - 6083), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(53) + chr(0b110000 + 0o0), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + chr(1756 - 1704), 0b1000), ehT0Px3KOsy9('\060' + chr(3937 - 3826) + '\x31' + '\x35' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + '\x33' + '\x36' + chr(0b101101 + 0o5), 53556 - 53548), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b110110) + chr(0b100111 + 0o14), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1044 - 995) + chr(52) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110111) + '\x37', 46974 - 46966), ehT0Px3KOsy9(chr(283 - 235) + chr(867 - 756) + chr(839 - 786) + chr(0b0 + 0o63), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + chr(233 - 180) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b10000 + 0o44), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(53) + chr(1438 - 1390), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7'), chr(0b110110 + 0o56) + chr(0b1100101) + chr(99) + '\157' + chr(100) + '\145')('\165' + chr(116) + chr(0b1100110) + chr(0b10101 + 0o30) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aMo3s08WDPY5(DQtsKuhOCwq0, VmIJF6Fy6LrX=ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 0o10)):
hDRa8Mx_sca6 = DQtsKuhOCwq0.find(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\xf8\xf8DQ'), chr(0b1100100) + '\145' + '\x63' + chr(0b11011 + 0o124) + chr(0b1100100 + 0o0) + '\x65')(chr(10975 - 10858) + '\164' + chr(0b10001 + 0o125) + chr(597 - 552) + chr(56)))
assert hDRa8Mx_sca6 != -ehT0Px3KOsy9(chr(48) + chr(11913 - 11802) + chr(252 - 203), 8)
EZoNezFj9PBQ = DQtsKuhOCwq0.find(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7'), chr(100) + chr(0b1100101) + chr(8048 - 7949) + '\x6f' + chr(4593 - 4493) + chr(101))(chr(117) + chr(0b1001000 + 0o54) + '\146' + '\055' + chr(0b11 + 0o65)), hDRa8Mx_sca6)
assert EZoNezFj9PBQ != -ehT0Px3KOsy9(chr(733 - 685) + chr(9453 - 9342) + '\061', 8)
EZoNezFj9PBQ += c2A0yzQpDQB3(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7'), chr(0b1100100) + chr(0b1100101) + chr(0b101100 + 0o67) + '\157' + '\144' + chr(0b11100 + 0o111))(chr(0b1110101) + chr(1794 - 1678) + '\146' + chr(0b101101) + chr(56)))
QlnLpa5TXz3x = DQtsKuhOCwq0.find(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\xa3\xe9Y]\xa4\xe1'), chr(0b100000 + 0o104) + '\x65' + chr(0b1000 + 0o133) + chr(862 - 751) + '\x64' + '\145')('\165' + chr(3310 - 3194) + '\x66' + chr(760 - 715) + '\x38'))
if QlnLpa5TXz3x == -ehT0Px3KOsy9('\x30' + chr(0b1101100 + 0o3) + chr(0b11011 + 0o26), 8):
VHn4CV4Ymrei = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1100100) + chr(0b111100 + 0o51) + chr(99) + chr(0b1000011 + 0o54) + chr(0b10001 + 0o123) + chr(101))(chr(0b1000010 + 0o63) + '\164' + '\x66' + chr(0b10100 + 0o31) + chr(0b10010 + 0o46))
else:
VHn4CV4Ymrei = DQtsKuhOCwq0[EZoNezFj9PBQ:QlnLpa5TXz3x]
if VmIJF6Fy6LrX:
VHn4CV4Ymrei = PIIASt6MOaFm(VHn4CV4Ymrei)
VHn4CV4Ymrei = nCRDzZ_Is9fz.to_unicode_utf8(VHn4CV4Ymrei)
return VHn4CV4Ymrei
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
_remove_curly_braces
|
def _remove_curly_braces(text):
"""Remove everything in curly braces.
Curly braces may be nested, so we keep track of depth.
Args:
text: a string
Returns:
a string
"""
current_pos = 0
depth = 0
ret = ""
for match in re.finditer("[{}]", text):
if depth == 0:
ret += text[current_pos:match.start()]
depth += 1 if text[match.start()] == "{" else -1
current_pos = match.end()
if depth != 0:
# Many articles have mismatched braces, but it still seems better to remove
# them than not.
pass
else:
ret += text[current_pos:]
return ret
|
python
|
def _remove_curly_braces(text):
"""Remove everything in curly braces.
Curly braces may be nested, so we keep track of depth.
Args:
text: a string
Returns:
a string
"""
current_pos = 0
depth = 0
ret = ""
for match in re.finditer("[{}]", text):
if depth == 0:
ret += text[current_pos:match.start()]
depth += 1 if text[match.start()] == "{" else -1
current_pos = match.end()
if depth != 0:
# Many articles have mismatched braces, but it still seems better to remove
# them than not.
pass
else:
ret += text[current_pos:]
return ret
|
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"=",
"\"\"",
"for",
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",",
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"[",
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")",
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"-",
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"end",
"(",
")",
"if",
"depth",
"!=",
"0",
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"# Many articles have mismatched braces, but it still seems better to remove",
"# them than not.",
"pass",
"else",
":",
"ret",
"+=",
"text",
"[",
"current_pos",
":",
"]",
"return",
"ret"
] |
Remove everything in curly braces.
Curly braces may be nested, so we keep track of depth.
Args:
text: a string
Returns:
a string
|
[
"Remove",
"everything",
"in",
"curly",
"braces",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L316-L340
|
train
|
Removes all curly braces from a string.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\064' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(3882 - 3771) + chr(0b110001) + '\x31' + chr(0b11101 + 0o27), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2808 - 2697) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9632 - 9521) + '\061' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(584 - 536) + chr(10019 - 9908) + '\061', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2725 - 2614) + chr(0b110010) + chr(1514 - 1464) + chr(0b101100 + 0o7), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110101) + chr(1984 - 1933), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1001 + 0o146) + chr(485 - 435) + '\064' + chr(0b101 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\065' + chr(0b10100 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(11631 - 11520) + chr(0b110011) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(1010 - 962) + chr(111) + chr(0b1 + 0o62) + '\x36' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(53) + chr(0b100110 + 0o12), 0o10), ehT0Px3KOsy9('\x30' + chr(516 - 405) + '\x33' + '\067' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2416 - 2305) + chr(49) + chr(990 - 937) + chr(51), 8), ehT0Px3KOsy9(chr(2279 - 2231) + chr(0b100110 + 0o111) + chr(0b110011) + chr(51) + chr(0b100001 + 0o22), 46725 - 46717), ehT0Px3KOsy9(chr(48) + chr(1470 - 1359) + chr(0b110010) + '\061' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8555 - 8444) + chr(0b110101) + chr(49), 0o10), ehT0Px3KOsy9(chr(425 - 377) + chr(0b1101111) + chr(50) + chr(0b10011 + 0o35) + chr(0b11000 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11100 + 0o25) + '\x34' + '\060', 28840 - 28832), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x37' + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101010 + 0o5) + chr(0b110010) + chr(0b100110 + 0o17) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(868 - 813) + chr(0b110110), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1000 + 0o53) + chr(0b110010) + chr(0b111 + 0o51), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2457 - 2407) + chr(0b10101 + 0o35) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101010 + 0o5) + chr(1428 - 1378) + chr(172 - 120) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + '\x31' + '\060' + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x36' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1225 - 1176) + chr(0b110000) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(0b11100 + 0o25) + chr(52) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(49) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(5671 - 5560) + chr(865 - 814), 60977 - 60969), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\067' + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b100111 + 0o12) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110110) + chr(1595 - 1543), 0b1000), ehT0Px3KOsy9('\060' + chr(1267 - 1156) + '\x33' + '\065' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(2051 - 1999) + '\062', 27930 - 27922), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(0b110010) + chr(52) + chr(2209 - 2160), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(734 - 682) + '\065', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b11100 + 0o123) + chr(53) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\t'), chr(5678 - 5578) + chr(1236 - 1135) + chr(0b10101 + 0o116) + chr(111) + '\144' + chr(991 - 890))(chr(0b1110101) + chr(9452 - 9336) + '\146' + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xLLkZS1OmIc8(Ah1rInvg48Hb):
ZnCbILVVYDXi = ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + '\060', ord("\x08"))
UEys4_lSwsID = ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000), 8)
VHn4CV4Ymrei = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(7019 - 6919) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b101001 + 0o73) + '\x65')(chr(11308 - 11191) + chr(0b1010 + 0o152) + chr(2746 - 2644) + chr(0b101101) + chr(56))
for AZi1vqvu7T1_ in xafqLlk3kkUe(_7u55U49WwX2, xafqLlk3kkUe(SXOLrMavuUCe(b'A%e`fuu\xe1'), '\144' + '\145' + chr(8887 - 8788) + chr(0b100011 + 0o114) + chr(0b100101 + 0o77) + chr(101))(chr(117) + chr(8940 - 8824) + chr(102) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'|7vY'), chr(5291 - 5191) + '\145' + '\143' + chr(11632 - 11521) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1010000 + 0o44) + '\x66' + '\055' + chr(0b111000)), Ah1rInvg48Hb):
if UEys4_lSwsID == ehT0Px3KOsy9(chr(1833 - 1785) + chr(8313 - 8202) + '\060', 8):
VHn4CV4Ymrei += Ah1rInvg48Hb[ZnCbILVVYDXi:AZi1vqvu7T1_.start()]
UEys4_lSwsID += ehT0Px3KOsy9(chr(48) + chr(10422 - 10311) + chr(0b110001), 8) if Ah1rInvg48Hb[AZi1vqvu7T1_.start()] == xafqLlk3kkUe(SXOLrMavuUCe(b'\\'), '\x64' + '\145' + chr(0b1001 + 0o132) + '\x6f' + '\x64' + chr(0b11001 + 0o114))(chr(0b1110101) + chr(116) + chr(102) + chr(45) + '\070') else -ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b110010 + 0o75) + chr(49), 8)
ZnCbILVVYDXi = AZi1vqvu7T1_.whWDZq5_lP01()
if UEys4_lSwsID != ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(0b11001 + 0o27), 8):
pass
else:
VHn4CV4Ymrei += Ah1rInvg48Hb[ZnCbILVVYDXi:]
return VHn4CV4Ymrei
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
_remove_double_brackets
|
def _remove_double_brackets(text):
"""Remove double brackets, but leave the viewable text.
Args:
text: a string
Returns:
a string
"""
def replacement_fn(s):
if ":" in s:
# this is probably a category or something like that.
return ""
# keep the part after the bar.
bar_pos = s.find("|")
if bar_pos == -1:
return s
return s[bar_pos + 1:]
return _find_and_replace(text, "[[", "]]", replacement_fn)
|
python
|
def _remove_double_brackets(text):
"""Remove double brackets, but leave the viewable text.
Args:
text: a string
Returns:
a string
"""
def replacement_fn(s):
if ":" in s:
# this is probably a category or something like that.
return ""
# keep the part after the bar.
bar_pos = s.find("|")
if bar_pos == -1:
return s
return s[bar_pos + 1:]
return _find_and_replace(text, "[[", "]]", replacement_fn)
|
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"# this is probably a category or something like that.",
"return",
"\"\"",
"# keep the part after the bar.",
"bar_pos",
"=",
"s",
".",
"find",
"(",
"\"|\"",
")",
"if",
"bar_pos",
"==",
"-",
"1",
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"return",
"s",
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"[",
"bar_pos",
"+",
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"return",
"_find_and_replace",
"(",
"text",
",",
"\"[[\"",
",",
"\"]]\"",
",",
"replacement_fn",
")"
] |
Remove double brackets, but leave the viewable text.
Args:
text: a string
Returns:
a string
|
[
"Remove",
"double",
"brackets",
"but",
"leave",
"the",
"viewable",
"text",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L343-L362
|
train
|
Remove double brackets but leave the viewable text.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(376 - 265) + '\063' + chr(0b110000) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + chr(0b110011) + chr(0b11110 + 0o22) + chr(0b10010 + 0o45), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11 + 0o60) + '\x33' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000 + 0o1) + '\x36' + chr(0b101100 + 0o5), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b10110 + 0o40) + chr(0b111 + 0o51), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b1001 + 0o56), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x36' + chr(0b11000 + 0o37), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(10463 - 10352) + chr(0b110010) + chr(0b111 + 0o56) + chr(1003 - 948), 24912 - 24904), ehT0Px3KOsy9(chr(1895 - 1847) + '\157' + chr(0b110011) + chr(55) + chr(0b100011 + 0o16), 14138 - 14130), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(51) + chr(0b10000 + 0o40) + chr(55), 8), ehT0Px3KOsy9('\x30' + chr(3246 - 3135) + chr(0b11011 + 0o30) + '\x35' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1306 - 1255) + chr(2275 - 2225) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(50) + '\x35' + '\062', 0b1000), ehT0Px3KOsy9(chr(858 - 810) + chr(0b1101111) + chr(51) + '\065' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(6315 - 6204) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + '\x30', 62871 - 62863), ehT0Px3KOsy9(chr(1611 - 1563) + chr(12209 - 12098) + '\x37' + '\061', 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b11 + 0o154) + chr(0b1000 + 0o52) + chr(0b11100 + 0o25), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11100 + 0o25) + chr(48) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101) + chr(1529 - 1479), 26622 - 26614), ehT0Px3KOsy9(chr(840 - 792) + '\x6f' + chr(52) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(4064 - 3953) + chr(2309 - 2257) + chr(51), 8), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1010111 + 0o30) + '\x32' + chr(0b10101 + 0o34) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(825 - 777) + chr(0b1101111) + chr(1760 - 1709) + '\x35' + chr(51), 57717 - 57709), ehT0Px3KOsy9(chr(1325 - 1277) + '\157' + chr(880 - 831) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10110 + 0o34) + '\x30', 0o10), ehT0Px3KOsy9(chr(947 - 899) + chr(0b110001 + 0o76) + '\062' + chr(51) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b11000 + 0o31) + chr(0b10000 + 0o44) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b111110 + 0o61) + chr(502 - 453) + chr(0b10101 + 0o36) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(983 - 933) + '\064' + chr(90 - 41), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7768 - 7657) + chr(0b110010) + chr(810 - 761) + '\067', 28106 - 28098), ehT0Px3KOsy9(chr(2057 - 2009) + '\x6f' + chr(0b110001) + chr(0b110111 + 0o0) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2222 - 2171) + '\x33' + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(7712 - 7601) + chr(50) + chr(1322 - 1267) + chr(1781 - 1726), ord("\x08")), ehT0Px3KOsy9(chr(760 - 712) + chr(111) + chr(0b100110 + 0o14) + '\067' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(370 - 321) + chr(2167 - 2113), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + '\x33' + chr(0b100000 + 0o25) + chr(1236 - 1181), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7269 - 7158) + chr(49) + chr(799 - 747) + chr(0b110110), 9334 - 9326), ehT0Px3KOsy9('\060' + '\157' + chr(2311 - 2259) + '\064', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(219 - 171) + chr(111) + chr(0b11011 + 0o32) + chr(822 - 774), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9'), chr(0b11110 + 0o106) + '\145' + chr(99) + '\x6f' + chr(0b111001 + 0o53) + chr(4823 - 4722))('\165' + chr(1913 - 1797) + chr(473 - 371) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def EMN8iX3Akl_0(Ah1rInvg48Hb):
def LWQGjVDvsaNj(vGrByMSYMp9h):
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd'), chr(100) + chr(1910 - 1809) + chr(8505 - 8406) + chr(5038 - 4927) + chr(6933 - 6833) + '\x65')('\165' + chr(0b1 + 0o163) + chr(8042 - 7940) + '\x2d' + chr(0b111000)) in vGrByMSYMp9h:
return xafqLlk3kkUe(SXOLrMavuUCe(b''), '\144' + chr(0b1100101) + chr(9249 - 9150) + chr(111) + '\x64' + chr(0b100111 + 0o76))(chr(117) + chr(12454 - 12338) + chr(0b1011111 + 0o7) + chr(0b101101) + '\x38')
IB2T8ScbPjSa = vGrByMSYMp9h.find(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b0 + 0o144) + chr(101))(chr(0b1010 + 0o153) + chr(0b1110100) + chr(102) + chr(382 - 337) + '\x38'))
if IB2T8ScbPjSa == -ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(0b110001), ord("\x08")):
return vGrByMSYMp9h
return vGrByMSYMp9h[IB2T8ScbPjSa + ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', 8):]
return ucNTzAPznJfB(Ah1rInvg48Hb, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x9c'), '\x64' + chr(101) + '\x63' + chr(0b1001 + 0o146) + chr(0b1100011 + 0o1) + chr(0b110001 + 0o64))(chr(0b1001111 + 0o46) + '\164' + chr(102) + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x9a'), chr(100) + chr(9409 - 9308) + chr(99) + '\x6f' + chr(3612 - 3512) + '\145')(chr(7991 - 7874) + '\x74' + chr(0b1000 + 0o136) + chr(1909 - 1864) + '\070'), LWQGjVDvsaNj)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
_remove_boring_lines
|
def _remove_boring_lines(text):
"""Remove lines that do not start with a letter or a quote.
From inspecting the data, this seems to leave in most prose and remove
most weird stuff.
Args:
text: a string
Returns:
a string
"""
lines = text.split("\n")
filtered = [line for line in lines if re.match("[a-zA-z\"\']", line)]
return "\n".join(filtered)
|
python
|
def _remove_boring_lines(text):
"""Remove lines that do not start with a letter or a quote.
From inspecting the data, this seems to leave in most prose and remove
most weird stuff.
Args:
text: a string
Returns:
a string
"""
lines = text.split("\n")
filtered = [line for line in lines if re.match("[a-zA-z\"\']", line)]
return "\n".join(filtered)
|
[
"def",
"_remove_boring_lines",
"(",
"text",
")",
":",
"lines",
"=",
"text",
".",
"split",
"(",
"\"\\n\"",
")",
"filtered",
"=",
"[",
"line",
"for",
"line",
"in",
"lines",
"if",
"re",
".",
"match",
"(",
"\"[a-zA-z\\\"\\']\"",
",",
"line",
")",
"]",
"return",
"\"\\n\"",
".",
"join",
"(",
"filtered",
")"
] |
Remove lines that do not start with a letter or a quote.
From inspecting the data, this seems to leave in most prose and remove
most weird stuff.
Args:
text: a string
Returns:
a string
|
[
"Remove",
"lines",
"that",
"do",
"not",
"start",
"with",
"a",
"letter",
"or",
"a",
"quote",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L365-L378
|
train
|
Remove lines that start with a letter or a quote.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110101) + chr(48), 49475 - 49467), ehT0Px3KOsy9('\x30' + chr(0b1010011 + 0o34) + '\x33' + '\x37' + '\x31', 25239 - 25231), ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + chr(1271 - 1222) + '\065' + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(298 - 247) + '\066' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\x35' + chr(0b110110), 19019 - 19011), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(5842 - 5731) + '\x31' + chr(0b110100) + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110001) + chr(54), 0o10), ehT0Px3KOsy9(chr(405 - 357) + chr(111) + chr(2197 - 2148) + chr(0b100011 + 0o20) + '\x36', 43336 - 43328), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b110101) + chr(2076 - 2028), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10000 + 0o137) + chr(0b110011) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1987 - 1938) + chr(0b110001 + 0o3) + chr(54), 8), ehT0Px3KOsy9('\x30' + chr(1832 - 1721) + chr(52) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(813 - 765) + chr(1706 - 1657), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x32' + chr(0b110000 + 0o3), 0o10), ehT0Px3KOsy9(chr(1583 - 1535) + chr(111) + '\x33' + chr(0b11 + 0o60) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(365 - 254) + '\066' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(513 - 402) + chr(51) + '\062' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(2171 - 2123) + chr(4024 - 3913) + '\x31' + '\x31' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(0b110011) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1899 - 1788) + chr(2180 - 2131) + chr(55) + chr(0b101100 + 0o12), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000 + 0o3) + '\063' + chr(0b110 + 0o56), 0o10), ehT0Px3KOsy9(chr(482 - 434) + '\157' + chr(0b110011) + chr(2039 - 1988) + chr(0b1000 + 0o54), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\x36' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(2116 - 2068) + chr(815 - 704) + chr(2038 - 1989) + '\061' + '\x31', 0b1000), ehT0Px3KOsy9(chr(1587 - 1539) + '\x6f' + chr(662 - 611) + chr(0b11100 + 0o25) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11 + 0o57) + '\065' + chr(2290 - 2241), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b110011) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(215 - 164) + '\x31' + '\x30', 0o10), ehT0Px3KOsy9(chr(1353 - 1305) + chr(0b1101111) + chr(0b11101 + 0o24) + '\x34' + chr(0b10010 + 0o41), 26635 - 26627), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b110101) + chr(1227 - 1178), 8), ehT0Px3KOsy9(chr(1999 - 1951) + chr(0b1010010 + 0o35) + '\062' + '\x30' + '\061', 0o10), ehT0Px3KOsy9(chr(990 - 942) + chr(7552 - 7441) + chr(0b1111 + 0o44) + chr(604 - 552) + chr(0b101000 + 0o11), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110101) + '\064', 0o10), ehT0Px3KOsy9(chr(1709 - 1661) + chr(0b1101111) + chr(53 - 2) + chr(0b110101) + '\063', 0b1000), ehT0Px3KOsy9(chr(485 - 437) + '\x6f' + chr(0b101 + 0o54) + chr(51) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10575 - 10464) + '\062' + chr(0b110111) + chr(0b0 + 0o64), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110110) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(51) + chr(2565 - 2514), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(53) + chr(49), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2063 - 2015) + chr(1779 - 1668) + chr(53) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'<'), chr(0b1010101 + 0o17) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1010100 + 0o20) + chr(0b111111 + 0o46))(chr(117) + chr(0b101010 + 0o112) + chr(0b110110 + 0o60) + chr(0b1 + 0o54) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def T5R_ieBOaFY3(Ah1rInvg48Hb):
izUh4XSf7tJY = Ah1rInvg48Hb.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x18'), chr(2623 - 2523) + chr(0b1100101) + chr(3360 - 3261) + chr(7275 - 7164) + chr(0b1010110 + 0o16) + chr(0b1100101))(chr(117) + chr(12495 - 12379) + chr(9889 - 9787) + '\055' + '\070'))
HYNemUNHUUrx = [LycYkDpyelF6 for LycYkDpyelF6 in izUh4XSf7tJY if _7u55U49WwX2.match(xafqLlk3kkUe(SXOLrMavuUCe(b'I\t\xd4\x15\xb5\x83\x1c\xecy\xb5'), chr(3490 - 3390) + chr(101) + chr(7525 - 7426) + '\x6f' + chr(0b1100100) + '\145')('\165' + chr(0b1110100) + '\146' + '\x2d' + '\x38'), LycYkDpyelF6)]
return xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x18'), chr(5001 - 4901) + chr(101) + chr(99) + '\x6f' + chr(0b10111 + 0o115) + chr(101))(chr(0b11010 + 0o133) + chr(8555 - 8439) + '\146' + chr(764 - 719) + chr(0b100001 + 0o27)), xafqLlk3kkUe(SXOLrMavuUCe(b'x\x07\x90\x01'), chr(2646 - 2546) + '\145' + chr(0b100111 + 0o74) + chr(3370 - 3259) + chr(1212 - 1112) + '\x65')(chr(117) + '\164' + chr(9107 - 9005) + '\x2d' + '\070'))(HYNemUNHUUrx)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
get_or_generate_vocabulary
|
def get_or_generate_vocabulary(data_dir,
tmp_dir,
data_prefix,
max_page_size_exp,
approx_vocab_size=32768,
strip=True):
"""Get or generate the vocabulary.
Args:
data_dir: a string
tmp_dir: a string
data_prefix: a string
max_page_size_exp: an integer
approx_vocab_size: an integer
strip: a boolean
Returns:
a TextEncoder
"""
num_pages_for_vocab_generation = approx_vocab_size // 3
vocab_file = vocab_filename(approx_vocab_size, strip)
def my_generator(data_prefix):
"""Line generator for vocab."""
count = 0
for page in corpus_page_generator(
all_corpus_files(data_prefix)[::-1], tmp_dir, max_page_size_exp):
revisions = page["revisions"]
if revisions:
text = get_text(revisions[-1], strip=strip)
yield text
count += 1
if count % 100 == 0:
tf.logging.info("reading pages for vocab %d" % count)
if count > num_pages_for_vocab_generation:
break
return generator_utils.get_or_generate_vocab_inner(data_dir, vocab_file,
approx_vocab_size,
my_generator(data_prefix))
|
python
|
def get_or_generate_vocabulary(data_dir,
tmp_dir,
data_prefix,
max_page_size_exp,
approx_vocab_size=32768,
strip=True):
"""Get or generate the vocabulary.
Args:
data_dir: a string
tmp_dir: a string
data_prefix: a string
max_page_size_exp: an integer
approx_vocab_size: an integer
strip: a boolean
Returns:
a TextEncoder
"""
num_pages_for_vocab_generation = approx_vocab_size // 3
vocab_file = vocab_filename(approx_vocab_size, strip)
def my_generator(data_prefix):
"""Line generator for vocab."""
count = 0
for page in corpus_page_generator(
all_corpus_files(data_prefix)[::-1], tmp_dir, max_page_size_exp):
revisions = page["revisions"]
if revisions:
text = get_text(revisions[-1], strip=strip)
yield text
count += 1
if count % 100 == 0:
tf.logging.info("reading pages for vocab %d" % count)
if count > num_pages_for_vocab_generation:
break
return generator_utils.get_or_generate_vocab_inner(data_dir, vocab_file,
approx_vocab_size,
my_generator(data_prefix))
|
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] |
Get or generate the vocabulary.
Args:
data_dir: a string
tmp_dir: a string
data_prefix: a string
max_page_size_exp: an integer
approx_vocab_size: an integer
strip: a boolean
Returns:
a TextEncoder
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L401-L440
|
train
|
Get or generate the vocabulary.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(2125 - 2076) + chr(54) + chr(0b100001 + 0o22), 806 - 798), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100100 + 0o15) + '\x30' + chr(921 - 869), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b0 + 0o67), 0o10), ehT0Px3KOsy9('\060' + chr(6287 - 6176) + '\065' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(0b1011 + 0o50) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b0 + 0o157) + chr(50) + '\063' + chr(0b110010 + 0o2), 0o10), ehT0Px3KOsy9(chr(48) + chr(10165 - 10054) + '\062' + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1111 + 0o44) + '\065' + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(2731 - 2620) + '\066' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(49) + chr(0b11101 + 0o25) + chr(0b110111), 2432 - 2424), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(50) + chr(54), 6080 - 6072), ehT0Px3KOsy9(chr(833 - 785) + '\x6f' + chr(2273 - 2223) + chr(0b110000) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(1631 - 1582) + chr(0b110101), 44493 - 44485), ehT0Px3KOsy9(chr(777 - 729) + chr(641 - 530) + '\x32' + '\x30' + chr(0b110110), 3018 - 3010), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b110110) + chr(0b1111 + 0o41), 0b1000), ehT0Px3KOsy9(chr(1858 - 1810) + chr(111) + chr(0b101110 + 0o5) + '\063', 0o10), ehT0Px3KOsy9(chr(1342 - 1294) + '\x6f' + chr(51) + chr(1155 - 1101) + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + chr(0b110010) + chr(1754 - 1701) + '\066', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11111 + 0o27) + chr(2306 - 2255), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(859 - 810) + '\066' + chr(2255 - 2204), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(55) + '\065', 45007 - 44999), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b101011 + 0o11) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101110 + 0o1) + chr(2573 - 2522) + chr(1706 - 1652) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b110000) + chr(0b11011 + 0o31), 50791 - 50783), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\062' + chr(1212 - 1162) + '\065', 32901 - 32893), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b10 + 0o56) + '\x36', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x30' + chr(48), 37661 - 37653), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(0b110001) + '\x33' + chr(2212 - 2161), ord("\x08")), ehT0Px3KOsy9(chr(1076 - 1028) + chr(111) + chr(224 - 174) + chr(0b10010 + 0o45) + chr(2481 - 2430), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b110101) + chr(54), 8), ehT0Px3KOsy9(chr(450 - 402) + chr(111) + '\063' + '\066' + chr(48), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + chr(756 - 706), 45306 - 45298), ehT0Px3KOsy9(chr(0b110000) + chr(3836 - 3725) + '\062' + '\x32' + '\066', 8), ehT0Px3KOsy9(chr(2072 - 2024) + chr(0b1101111) + chr(0b11100 + 0o27) + chr(0b110000) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7899 - 7788) + chr(49) + chr(0b110111), 8), ehT0Px3KOsy9(chr(206 - 158) + chr(0b1101111) + chr(618 - 569) + '\x36' + '\063', 8), ehT0Px3KOsy9(chr(1787 - 1739) + chr(7978 - 7867) + '\x36' + '\066', 8), ehT0Px3KOsy9(chr(1107 - 1059) + chr(0b1101111) + chr(0b110001) + chr(0b101011 + 0o14) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(417 - 369) + '\157' + '\x32' + chr(0b110010) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(48) + chr(0b11 + 0o60), 36693 - 36685)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b']'), '\144' + '\145' + chr(6154 - 6055) + chr(111) + '\x64' + '\145')('\165' + '\x74' + '\146' + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mA4gl7vHjbVe(kVFRD544hi_1, JsZ36NJUqtml, dcwEbvF3tfrc, B1BxD3ZVhQ6J, bajVLRtHCOzS=ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(2098 - 2050) + chr(0b10110 + 0o32) + '\060' + chr(0b10011 + 0o35) + chr(0b10 + 0o56), ord("\x08")), VmIJF6Fy6LrX=ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 53467 - 53459)):
Lei1TsaPdjKy = bajVLRtHCOzS // ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51), 0o10)
smhyarlg9o1q = EwmY7ynOlhiF(bajVLRtHCOzS, VmIJF6Fy6LrX)
def Go4AknWwTImI(dcwEbvF3tfrc):
ualWdDeXJEGO = ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000), 0o10)
for Voe3WRW7deL_ in gWz_yTTxZTHf(q1CapcJ6fq06(dcwEbvF3tfrc)[::-ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31', 8)], JsZ36NJUqtml, B1BxD3ZVhQ6J):
J77CJyDNXNYo = Voe3WRW7deL_[xafqLlk3kkUe(SXOLrMavuUCe(b'\x01!yEl\xf5x\x81E'), chr(100) + chr(101) + '\x63' + chr(111) + chr(6099 - 5999) + chr(0b1011111 + 0o6))('\165' + '\164' + chr(8650 - 8548) + chr(45) + chr(0b110011 + 0o5))]
if J77CJyDNXNYo:
Ah1rInvg48Hb = aMo3s08WDPY5(J77CJyDNXNYo[-ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 8)], strip=VmIJF6Fy6LrX)
yield Ah1rInvg48Hb
ualWdDeXJEGO += ehT0Px3KOsy9(chr(2180 - 2132) + chr(111) + '\061', 8)
if ualWdDeXJEGO % ehT0Px3KOsy9(chr(48) + chr(11953 - 11842) + chr(1120 - 1071) + chr(52) + '\x34', 8) == ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x30', 8):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b' sGTj\xffp\xd8\\;\xcc\xea'), chr(0b1100100) + '\145' + '\x63' + chr(111) + chr(6594 - 6494) + chr(0b10011 + 0o122))(chr(0b1110101) + chr(0b1100010 + 0o22) + chr(0b1100110) + chr(0b11100 + 0o21) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x01!nHv\xf2p\xcfF6\xf1\xe4>\xa6\xd6t\x81\x8eE\x1c\x9e\x05\x92\xa4\xb0\xe2'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + '\x64' + chr(101))(chr(0b1101001 + 0o14) + chr(0b110101 + 0o77) + '\146' + chr(0b101101) + chr(0b11011 + 0o35)) % ualWdDeXJEGO)
if ualWdDeXJEGO > Lei1TsaPdjKy:
break
return xafqLlk3kkUe(g1Z_RG9zP4cD, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14!{sp\xeeH\x88S9\xf3\xf3,\xf2\xd5D\x85\xc1P\x12\x9f;\x99\xea\xfb\xe3\xf2'), chr(0b1100100) + chr(5748 - 5647) + chr(0b1100010 + 0o1) + '\x6f' + '\x64' + chr(0b1100101))('\165' + '\x74' + '\146' + chr(45) + chr(0b110001 + 0o7)))(kVFRD544hi_1, smhyarlg9o1q, bajVLRtHCOzS, Go4AknWwTImI(dcwEbvF3tfrc))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
get_encoder_from_vocab
|
def get_encoder_from_vocab(vocab_filepath):
"""Get encoder from vocab file.
If vocab is not found in output dir, it will be copied there by
copy_vocab_to_output_dir to clarify the vocab used to generate the data.
Args:
vocab_filepath: path to vocab, either local or cns
Returns:
A SubwordTextEncoder vocabulary object. None if the output_parallel_text
is set.
"""
if not tf.gfile.Exists(vocab_filepath):
raise ValueError("Vocab file does not exist: {}.".format(vocab_filepath))
tf.logging.info("Found vocab file: %s", vocab_filepath)
encoder = text_encoder.SubwordTextEncoder(vocab_filepath)
return encoder
|
python
|
def get_encoder_from_vocab(vocab_filepath):
"""Get encoder from vocab file.
If vocab is not found in output dir, it will be copied there by
copy_vocab_to_output_dir to clarify the vocab used to generate the data.
Args:
vocab_filepath: path to vocab, either local or cns
Returns:
A SubwordTextEncoder vocabulary object. None if the output_parallel_text
is set.
"""
if not tf.gfile.Exists(vocab_filepath):
raise ValueError("Vocab file does not exist: {}.".format(vocab_filepath))
tf.logging.info("Found vocab file: %s", vocab_filepath)
encoder = text_encoder.SubwordTextEncoder(vocab_filepath)
return encoder
|
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"SubwordTextEncoder",
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] |
Get encoder from vocab file.
If vocab is not found in output dir, it will be copied there by
copy_vocab_to_output_dir to clarify the vocab used to generate the data.
Args:
vocab_filepath: path to vocab, either local or cns
Returns:
A SubwordTextEncoder vocabulary object. None if the output_parallel_text
is set.
|
[
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"file",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L443-L461
|
train
|
Get encoder from vocab file.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(12040 - 11929) + '\x31' + chr(55) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(2176 - 2128) + '\157' + chr(50) + chr(2155 - 2103) + chr(0b100111 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + '\x32' + chr(54) + chr(2052 - 1997), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7880 - 7769) + chr(0b10111 + 0o33) + '\061' + chr(0b11 + 0o63), 13664 - 13656), ehT0Px3KOsy9(chr(1885 - 1837) + chr(111) + '\062' + chr(0b110011) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(54) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(5744 - 5633) + '\x31' + chr(49) + chr(55), 0o10), ehT0Px3KOsy9(chr(330 - 282) + chr(0b1001010 + 0o45) + chr(0b10001 + 0o41) + '\x33' + chr(0b100000 + 0o21), 15151 - 15143), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(53) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\x33' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(554 - 506) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(3281 - 3170) + '\x32' + '\x37' + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110111) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2515 - 2464) + chr(1792 - 1744) + chr(0b101110 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(10822 - 10711) + '\065' + '\064', 0o10), ehT0Px3KOsy9(chr(1306 - 1258) + chr(111) + '\x32' + '\066' + chr(0b100110 + 0o16), 59984 - 59976), ehT0Px3KOsy9('\x30' + '\x6f' + chr(145 - 94) + '\060' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8396 - 8285) + chr(1422 - 1373) + chr(1723 - 1674) + chr(0b10 + 0o62), 0o10), ehT0Px3KOsy9(chr(302 - 254) + chr(4178 - 4067) + chr(0b110001) + '\x30' + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2521 - 2470) + chr(0b110011) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(878 - 823), 4394 - 4386), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1000 + 0o51) + '\x31' + chr(209 - 158), 0o10), ehT0Px3KOsy9(chr(1052 - 1004) + chr(0b1101111) + chr(651 - 602) + '\x34' + '\061', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b110111 + 0o70) + chr(0b100000 + 0o23) + chr(0b110000) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110110) + '\063', 16559 - 16551), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + '\x33' + chr(0b11011 + 0o27) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(324 - 276) + chr(0b1101111) + chr(2393 - 2343) + '\x36' + chr(0b1111 + 0o41), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + '\x36' + chr(0b101000 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(907 - 859) + chr(0b1101111) + chr(0b10101 + 0o34) + '\x34' + chr(53), 11434 - 11426), ehT0Px3KOsy9(chr(255 - 207) + chr(0b1100111 + 0o10) + chr(0b1100 + 0o46) + chr(0b110000 + 0o5) + chr(48), 8264 - 8256), ehT0Px3KOsy9('\x30' + chr(111) + chr(721 - 671) + chr(0b110001 + 0o0) + '\066', 8), ehT0Px3KOsy9(chr(719 - 671) + chr(0b1001011 + 0o44) + '\x31' + '\064' + chr(0b10111 + 0o36), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(77 - 26) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10949 - 10838) + chr(0b11 + 0o57) + chr(0b110100 + 0o0), 45390 - 45382), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b110010) + chr(0b110011 + 0o1), 365 - 357), ehT0Px3KOsy9(chr(1173 - 1125) + chr(0b1100111 + 0o10) + chr(0b110011) + chr(138 - 84) + chr(0b101110 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11901 - 11790) + '\x31' + chr(0b110101) + chr(798 - 745), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + '\x37', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1865 - 1817) + chr(0b10001 + 0o136) + '\065' + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'T'), chr(0b101100 + 0o70) + chr(0b1100101) + '\143' + chr(111) + chr(100) + chr(8269 - 8168))(chr(0b10110 + 0o137) + chr(116) + '\146' + '\x2d' + chr(3093 - 3037)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def dtrX5hAVtiQE(fZzpj6eSosQ9):
if not xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'?\xdcj\xc4\xfa\xee'), '\144' + chr(7824 - 7723) + chr(0b1100011) + chr(111) + chr(100) + chr(4309 - 4208))(chr(0b10101 + 0o140) + chr(0b1110100) + '\146' + chr(0b1111 + 0o36) + chr(0b110 + 0o62)))(fZzpj6eSosQ9):
raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b',\xcb`\xd6\xec\xbd\x91&\xf5\xc8\xbb\xe6\xd6Z\xb2\x0c\xda\xab8ay\xa6n8\x15\xf8\x13\xa8\xcd\x18'), chr(9311 - 9211) + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(102) + chr(0b101101) + chr(3051 - 2995)), xafqLlk3kkUe(SXOLrMavuUCe(b',\x90q\xd8\xc6\xfc\xa4|\xc9\xdd\xfe\xe8'), '\144' + '\x65' + chr(99) + chr(4292 - 4181) + '\144' + chr(0b1001100 + 0o31))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b101101) + '\070'))(fZzpj6eSosQ9))
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b')\x93K\xcf\xfb\xfe\x90x\xf3\xc1\xc1\xe9'), chr(7363 - 7263) + chr(6135 - 6034) + chr(99) + chr(4676 - 4565) + chr(0b1001111 + 0o25) + '\145')(chr(0b101111 + 0o106) + '\x74' + '\x66' + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'<\xcbv\xd9\xea\xbd\x81 \xfa\xcc\xf9\xa2\xdfV\xadI\x8e\xe4i2'), chr(100) + chr(0b1010001 + 0o24) + chr(0b1100011) + chr(10352 - 10241) + '\144' + chr(9058 - 8957))(chr(0b1110101) + '\x74' + '\146' + '\055' + chr(0b10011 + 0o45)), fZzpj6eSosQ9)
hoK3K1TwFlkr = nCRDzZ_Is9fz.SubwordTextEncoder(fZzpj6eSosQ9)
return hoK3K1TwFlkr
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
edit_distance_filter
|
def edit_distance_filter(source_target_input, max_equal_to_diff_ratio=0):
"""Filter out examples that exceed max_edit_ratio between source and target.
Args:
source_target_input: a list of [source, target] pairs
max_equal_to_diff_ratio: cutoff for ratio of equal chars / diff chars
between source and target
Returns:
source_target_output: filtered subset of [source, target] input pairs
thrown_out_count: number of examples filtered out
"""
thrown_out_count = 0
source_target_output = []
if not max_equal_to_diff_ratio:
return source_target_input, thrown_out_count
for src_tgt in source_target_input:
opcodes = fast_match_sequences(*src_tgt)
diff_char_count = 0
equal_char_count = 0
for tag, i1, i2, j1, j2 in opcodes:
if tag == "diff":
# max() prevents double-counting substitutions.
diff_char_count += max(i2 - i1, j2 - j1)
else:
equal_char_count += i2 - i1
if diff_char_count <= max_equal_to_diff_ratio * equal_char_count:
source_target_output.append(src_tgt)
else:
thrown_out_count += 1
return source_target_output, thrown_out_count
|
python
|
def edit_distance_filter(source_target_input, max_equal_to_diff_ratio=0):
"""Filter out examples that exceed max_edit_ratio between source and target.
Args:
source_target_input: a list of [source, target] pairs
max_equal_to_diff_ratio: cutoff for ratio of equal chars / diff chars
between source and target
Returns:
source_target_output: filtered subset of [source, target] input pairs
thrown_out_count: number of examples filtered out
"""
thrown_out_count = 0
source_target_output = []
if not max_equal_to_diff_ratio:
return source_target_input, thrown_out_count
for src_tgt in source_target_input:
opcodes = fast_match_sequences(*src_tgt)
diff_char_count = 0
equal_char_count = 0
for tag, i1, i2, j1, j2 in opcodes:
if tag == "diff":
# max() prevents double-counting substitutions.
diff_char_count += max(i2 - i1, j2 - j1)
else:
equal_char_count += i2 - i1
if diff_char_count <= max_equal_to_diff_ratio * equal_char_count:
source_target_output.append(src_tgt)
else:
thrown_out_count += 1
return source_target_output, thrown_out_count
|
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] |
Filter out examples that exceed max_edit_ratio between source and target.
Args:
source_target_input: a list of [source, target] pairs
max_equal_to_diff_ratio: cutoff for ratio of equal chars / diff chars
between source and target
Returns:
source_target_output: filtered subset of [source, target] input pairs
thrown_out_count: number of examples filtered out
|
[
"Filter",
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"that",
"exceed",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L476-L508
|
train
|
Filter out examples that exceed max_edit_ratio between source and target.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1329 - 1281) + chr(11476 - 11365) + chr(0b10 + 0o62) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\063' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(587 - 539) + chr(111) + chr(335 - 285) + '\062' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(54) + '\x37', 39066 - 39058), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + '\x31' + '\066' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(1105 - 1057) + chr(11187 - 11076) + '\x32' + chr(55) + chr(257 - 202), 0b1000), ehT0Px3KOsy9('\x30' + chr(347 - 236) + chr(50) + chr(49) + chr(985 - 936), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1726 - 1678) + chr(0b1001010 + 0o45) + '\x32' + chr(52) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + '\062' + chr(0b110110) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(903 - 855) + '\157' + chr(1625 - 1576) + chr(698 - 647) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + chr(0b110011) + chr(49) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b110000) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\067' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(2230 - 2182) + chr(0b1001001 + 0o46) + chr(0b110001) + '\x30' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1591 - 1543) + chr(0b1000011 + 0o54) + '\x31' + chr(0b110111) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(51) + chr(0b110101) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11000 + 0o127) + '\x37' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2758 - 2647) + chr(49) + chr(636 - 581), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010100 + 0o33) + chr(0b1100 + 0o46) + chr(0b110001) + chr(0b110011), 48346 - 48338), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10101 + 0o34) + chr(0b110110) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(2242 - 2187) + chr(916 - 868), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4779 - 4668) + chr(0b110001) + '\060' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(0b1111 + 0o43) + '\x31' + chr(199 - 145), 48526 - 48518), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\066' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11 + 0o60) + chr(0b1 + 0o65), 0b1000), ehT0Px3KOsy9(chr(1386 - 1338) + '\x6f' + chr(0b110001) + '\x32' + chr(1049 - 999), 0o10), ehT0Px3KOsy9(chr(870 - 822) + '\x6f' + '\x33' + chr(0b101 + 0o60) + chr(1114 - 1063), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9482 - 9371) + chr(0b101001 + 0o12), 27251 - 27243), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\x36' + '\x34', 0o10), ehT0Px3KOsy9(chr(2183 - 2135) + chr(0b10000 + 0o137) + chr(0b110 + 0o55) + '\066' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\x36' + chr(0b110011), 41262 - 41254), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b10001 + 0o37) + chr(0b100100 + 0o22), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b10000 + 0o44) + chr(0b101011 + 0o14), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + chr(0b110010) + chr(55) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(49) + chr(55) + chr(48), 17126 - 17118), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b110000) + '\066', 0b1000), ehT0Px3KOsy9(chr(1788 - 1740) + chr(4842 - 4731) + chr(51) + '\060' + chr(0b10001 + 0o44), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100000 + 0o21) + chr(51) + chr(0b110011), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101111 + 0o6) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b'), chr(100) + chr(101) + '\x63' + '\157' + '\x64' + chr(0b1100101))(chr(0b1000010 + 0o63) + chr(116) + '\146' + chr(1266 - 1221) + chr(0b10010 + 0o46)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def BWLoF2TrhoWp(bjqHJSb4GTd0, i_I5xCXpZ_uQ=ehT0Px3KOsy9(chr(677 - 629) + chr(111) + '\060', 56315 - 56307)):
SboJ1ihv1T0F = ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10010 + 0o36), 8)
Fs0DIaa3EBGk = []
if not i_I5xCXpZ_uQ:
return (bjqHJSb4GTd0, SboJ1ihv1T0F)
for blVvvQEH4lzr in bjqHJSb4GTd0:
tV7yl69VPOg6 = _hqnPaqLUZdT(*blVvvQEH4lzr)
EhCtdpzp6sMh = ehT0Px3KOsy9(chr(0b110000) + chr(9103 - 8992) + chr(0b110000), 8)
DAHU0aplcjwG = ehT0Px3KOsy9('\x30' + chr(111) + chr(1334 - 1286), 8)
for (CPdEsc5O1sf7, ZYexKR3KOQGK, Uuat8MFRT3jl, sh2MGywu1AY3, EW3HXbYEnVNH) in tV7yl69VPOg6:
if CPdEsc5O1sf7 == xafqLlk3kkUe(SXOLrMavuUCe(b'A\xb3\xf5Q'), '\x64' + chr(101) + chr(99) + chr(0b1101111) + chr(1598 - 1498) + chr(101))(chr(117) + chr(0b111101 + 0o67) + chr(7187 - 7085) + chr(0b101101) + chr(0b101111 + 0o11)):
EhCtdpzp6sMh += tsdjvlgh9gDP(Uuat8MFRT3jl - ZYexKR3KOQGK, EW3HXbYEnVNH - sh2MGywu1AY3)
else:
DAHU0aplcjwG += Uuat8MFRT3jl - ZYexKR3KOQGK
if EhCtdpzp6sMh <= i_I5xCXpZ_uQ * DAHU0aplcjwG:
xafqLlk3kkUe(Fs0DIaa3EBGk, xafqLlk3kkUe(SXOLrMavuUCe(b'D\xaa\xe3R\x18\xdb'), chr(0b1100100) + chr(0b1100101) + chr(6149 - 6050) + chr(0b110011 + 0o74) + chr(1567 - 1467) + chr(0b1100101))('\x75' + '\x74' + '\146' + chr(630 - 585) + '\070'))(blVvvQEH4lzr)
else:
SboJ1ihv1T0F += ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061', 0b1000)
return (Fs0DIaa3EBGk, SboJ1ihv1T0F)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
introduce_errors
|
def introduce_errors(s,
corruption_rate=3e-3,
infill_marker="|?|",
max_infill_len=8):
"""Artificially add spelling errors and infill markers.
This function should be applied to the inputs of a correction model.
The artificial errors are particularly useful to train a network to
correct spelling when the training data does not contain many
natural errors.
Also replaces some substrings with an "infill" marker. e.g.
"the fat cat sat on the mat" -> "the fat ca??? the mat"
This causes the trained model to learn infilling (predicting what text
to insert at the current cursor position).
Args:
s: a string (the uncorrupted text)
corruption_rate: a floating point value. Probability of introducing an
error/infill at each character.
infill_marker: a string
max_infill_len: an optional integer - maximum number of characters to remove
and replace by an infill marker. None means no infilling.
Returns:
a string
"""
num_errors = 0
ret = []
operations = [
"delete", # delete a character
"insert", # insert a random character from the input string
"replace", # replace a character with a random character from
# the input string
"transpose", # transpose two adjacent characters
]
if max_infill_len:
operations.append("infill")
pos = 0
while pos < len(s):
if random.random() >= corruption_rate:
ret.append(s[pos])
pos += 1
continue
num_errors += 1
operation = operations[random.randint(0, len(operations) - 1)]
if operation == "delete":
pos += 1
elif operation == "insert":
ret.append(s[random.randint(0, len(s) - 1)])
elif operation == "replace":
ret.append(s[random.randint(0, len(s) - 1)])
pos += 1
elif operation == "transpose":
ret.append(s[pos + 1] if pos + 1 < len(s) else "")
ret.append(s[pos])
pos += 2
else:
assert operation == "infill"
ret.append(infill_marker)
pos += random.randint(0, max_infill_len)
return "".join(ret), num_errors
|
python
|
def introduce_errors(s,
corruption_rate=3e-3,
infill_marker="|?|",
max_infill_len=8):
"""Artificially add spelling errors and infill markers.
This function should be applied to the inputs of a correction model.
The artificial errors are particularly useful to train a network to
correct spelling when the training data does not contain many
natural errors.
Also replaces some substrings with an "infill" marker. e.g.
"the fat cat sat on the mat" -> "the fat ca??? the mat"
This causes the trained model to learn infilling (predicting what text
to insert at the current cursor position).
Args:
s: a string (the uncorrupted text)
corruption_rate: a floating point value. Probability of introducing an
error/infill at each character.
infill_marker: a string
max_infill_len: an optional integer - maximum number of characters to remove
and replace by an infill marker. None means no infilling.
Returns:
a string
"""
num_errors = 0
ret = []
operations = [
"delete", # delete a character
"insert", # insert a random character from the input string
"replace", # replace a character with a random character from
# the input string
"transpose", # transpose two adjacent characters
]
if max_infill_len:
operations.append("infill")
pos = 0
while pos < len(s):
if random.random() >= corruption_rate:
ret.append(s[pos])
pos += 1
continue
num_errors += 1
operation = operations[random.randint(0, len(operations) - 1)]
if operation == "delete":
pos += 1
elif operation == "insert":
ret.append(s[random.randint(0, len(s) - 1)])
elif operation == "replace":
ret.append(s[random.randint(0, len(s) - 1)])
pos += 1
elif operation == "transpose":
ret.append(s[pos + 1] if pos + 1 < len(s) else "")
ret.append(s[pos])
pos += 2
else:
assert operation == "infill"
ret.append(infill_marker)
pos += random.randint(0, max_infill_len)
return "".join(ret), num_errors
|
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] |
Artificially add spelling errors and infill markers.
This function should be applied to the inputs of a correction model.
The artificial errors are particularly useful to train a network to
correct spelling when the training data does not contain many
natural errors.
Also replaces some substrings with an "infill" marker. e.g.
"the fat cat sat on the mat" -> "the fat ca??? the mat"
This causes the trained model to learn infilling (predicting what text
to insert at the current cursor position).
Args:
s: a string (the uncorrupted text)
corruption_rate: a floating point value. Probability of introducing an
error/infill at each character.
infill_marker: a string
max_infill_len: an optional integer - maximum number of characters to remove
and replace by an infill marker. None means no infilling.
Returns:
a string
|
[
"Artificially",
"add",
"spelling",
"errors",
"and",
"infill",
"markers",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L511-L574
|
train
|
This function is used to add spelling errors and infill markers to the input string s.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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' + '\067' + chr(0b110100), 32311 - 32303), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1100 + 0o53) + chr(2700 - 2648), 8), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\x37' + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(730 - 681) + chr(0b101111 + 0o10) + chr(2059 - 2010), 0o10), ehT0Px3KOsy9(chr(449 - 401) + chr(0b11111 + 0o120) + '\x31' + chr(1083 - 1034) + chr(0b11 + 0o63), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(2115 - 2064) + chr(132 - 79) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + '\062' + chr(50) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(418 - 370) + '\x6f' + '\063' + chr(1640 - 1592) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1 + 0o60) + chr(48) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b101001 + 0o10) + '\066', 8), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(9392 - 9281) + chr(1336 - 1285) + chr(54) + chr(0b101001 + 0o16), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b1100 + 0o46) + chr(54), 37397 - 37389), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(55), 4988 - 4980), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + '\061' + chr(49) + chr(0b1010 + 0o47), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\x33' + chr(1802 - 1749), 0b1000), ehT0Px3KOsy9(chr(2200 - 2152) + chr(111) + '\061' + chr(51) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b100001 + 0o22) + '\062' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b110110) + chr(462 - 411), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(0b110001) + '\063' + chr(52), 0o10), ehT0Px3KOsy9(chr(150 - 102) + chr(5345 - 5234) + chr(0b110011) + chr(0b100000 + 0o24) + chr(0b100111 + 0o12), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b10110 + 0o36) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(0b110010) + '\064' + chr(255 - 205), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5843 - 5732) + chr(444 - 395) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101100 + 0o5) + chr(55) + chr(1939 - 1886), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110100) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(382 - 334) + chr(0b1101111) + chr(393 - 343) + chr(0b110100) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(2673 - 2618), 60616 - 60608), ehT0Px3KOsy9('\060' + chr(2692 - 2581) + chr(0b110010) + '\x33' + '\x32', 43932 - 43924), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\065' + '\063', 4075 - 4067), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(2677 - 2622) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10010 + 0o44) + '\x33', 40679 - 40671), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(0b110001) + chr(0b100110 + 0o17) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b11011 + 0o31) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11100 + 0o123) + chr(51) + chr(51) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + '\063' + '\x30' + chr(857 - 808), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b100111 + 0o110) + chr(50) + chr(0b10010 + 0o43) + chr(213 - 159), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(52) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(2333 - 2278) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7237 - 7126) + chr(0b1011 + 0o50) + chr(0b110000) + chr(0b101 + 0o55), 10530 - 10522)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b110101) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x12'), chr(100) + '\145' + chr(9222 - 9123) + chr(0b110 + 0o151) + '\144' + chr(4735 - 4634))(chr(117) + chr(116) + '\x66' + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def BloPFA4CpuFR(vGrByMSYMp9h, pmtkCPVoMdmo=0.003, kyfGk2vGS2u5=xafqLlk3kkUe(SXOLrMavuUCe(b'@\x03\x85'), chr(100) + chr(3416 - 3315) + chr(5211 - 5112) + chr(9787 - 9676) + chr(100) + chr(0b1100101))('\165' + '\x74' + '\x66' + '\x2d' + chr(0b10111 + 0o41)), Z0scJCeFNtLD=ehT0Px3KOsy9('\x30' + chr(4220 - 4109) + chr(49) + chr(0b110000), 8)):
guOLyFSCYkH0 = ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(48), 31328 - 31320)
VHn4CV4Ymrei = []
uFRPLetUm3Ph = [xafqLlk3kkUe(SXOLrMavuUCe(b'XY\x95\x1c:\x8f'), '\x64' + chr(0b101110 + 0o67) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(3878 - 3777))('\165' + chr(6865 - 6749) + chr(0b1100110) + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'UR\x8a\x1c<\x9e'), chr(0b1100100) + chr(101) + '\143' + '\157' + chr(100) + chr(6686 - 6585))(chr(117) + chr(116) + chr(102) + '\055' + chr(865 - 809)), xafqLlk3kkUe(SXOLrMavuUCe(b'NY\x89\x15/\x89\xf6'), '\x64' + '\145' + '\143' + '\157' + chr(100) + chr(7868 - 7767))(chr(0b110011 + 0o102) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'HN\x98\x17=\x9a\xfc\xb3%'), chr(617 - 517) + '\145' + '\x63' + chr(0b1101111) + chr(100) + '\x65')('\165' + '\x74' + '\146' + chr(0b101101) + '\x38')]
if Z0scJCeFNtLD:
xafqLlk3kkUe(uFRPLetUm3Ph, xafqLlk3kkUe(SXOLrMavuUCe(b']L\x89\x1c \x8e'), chr(100) + chr(9426 - 9325) + chr(0b1000011 + 0o40) + chr(2291 - 2180) + chr(0b1100100) + chr(101))('\165' + '\x74' + '\146' + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'UR\x9f\x10"\x86'), chr(100) + chr(101) + '\143' + chr(0b1101 + 0o142) + '\x64' + chr(0b1100101))(chr(9244 - 9127) + chr(0b101110 + 0o106) + chr(1973 - 1871) + chr(45) + chr(0b111000)))
NXd0aqYJd4lK = ehT0Px3KOsy9(chr(48) + '\157' + chr(48), 8)
while NXd0aqYJd4lK < c2A0yzQpDQB3(vGrByMSYMp9h):
if xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'XN\x81\x0e~\xd3\xd2\xa4\x12*\x94x'), chr(100) + chr(8303 - 8202) + chr(2373 - 2274) + chr(2327 - 2216) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + '\x2d' + '\070'))() >= pmtkCPVoMdmo:
xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b']L\x89\x1c \x8e'), '\x64' + chr(314 - 213) + chr(99) + chr(0b100111 + 0o110) + chr(0b100110 + 0o76) + chr(0b1100101))(chr(117) + '\x74' + chr(10283 - 10181) + chr(1707 - 1662) + '\070'))(vGrByMSYMp9h[NXd0aqYJd4lK])
NXd0aqYJd4lK += ehT0Px3KOsy9(chr(48) + chr(11346 - 11235) + chr(0b110001), 50330 - 50322)
continue
guOLyFSCYkH0 += ehT0Px3KOsy9(chr(100 - 52) + chr(0b1010011 + 0o34) + '\x31', 8)
OhZfTtIXfIah = uFRPLetUm3Ph[drxw09AdRdci.FXbppO8HYrND(ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), 8), c2A0yzQpDQB3(uFRPLetUm3Ph) - ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001), 8))]
if OhZfTtIXfIah == xafqLlk3kkUe(SXOLrMavuUCe(b'XY\x95\x1c:\x8f'), '\144' + chr(101) + chr(0b111110 + 0o45) + chr(0b1000100 + 0o53) + '\144' + chr(6439 - 6338))(chr(0b1001010 + 0o53) + chr(734 - 618) + chr(0b110101 + 0o61) + chr(45) + chr(56)):
NXd0aqYJd4lK += ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061', 8)
elif OhZfTtIXfIah == xafqLlk3kkUe(SXOLrMavuUCe(b'UR\x8a\x1c<\x9e'), '\144' + chr(0b1011100 + 0o11) + '\143' + chr(0b1100010 + 0o15) + '\144' + '\x65')(chr(0b111100 + 0o71) + '\x74' + chr(2032 - 1930) + chr(1886 - 1841) + chr(56)):
xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b']L\x89\x1c \x8e'), '\144' + chr(0b1100101) + chr(99) + chr(0b100101 + 0o112) + chr(9568 - 9468) + chr(0b1100101))('\x75' + '\164' + chr(878 - 776) + '\x2d' + chr(0b1111 + 0o51)))(vGrByMSYMp9h[xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'zd\x9b\t>\xa5\xab\x88\x19<\xb9U'), chr(100) + chr(9914 - 9813) + '\x63' + '\157' + chr(100) + chr(0b1100101))(chr(0b101100 + 0o111) + chr(0b1010000 + 0o44) + '\x66' + chr(45) + chr(1314 - 1258)))(ehT0Px3KOsy9(chr(48) + chr(111) + chr(1179 - 1131), 8), c2A0yzQpDQB3(vGrByMSYMp9h) - ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 8))])
elif OhZfTtIXfIah == xafqLlk3kkUe(SXOLrMavuUCe(b'NY\x89\x15/\x89\xf6'), chr(0b1100001 + 0o3) + chr(0b1100101) + chr(99) + chr(0b1101111 + 0o0) + '\144' + chr(0b1100101))('\165' + chr(12129 - 12013) + chr(5243 - 5141) + '\055' + chr(1162 - 1106)):
xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b']L\x89\x1c \x8e'), '\144' + '\x65' + chr(6584 - 6485) + chr(0b100111 + 0o110) + chr(5500 - 5400) + '\x65')('\x75' + chr(0b10 + 0o162) + chr(2222 - 2120) + chr(0b1001 + 0o44) + chr(0b111000)))(vGrByMSYMp9h[xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'zd\x9b\t>\xa5\xab\x88\x19<\xb9U'), '\144' + '\x65' + '\143' + '\x6f' + '\144' + '\145')(chr(0b1110 + 0o147) + chr(0b1110100) + chr(102) + chr(0b1110 + 0o37) + '\070'))(ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(48), 8), c2A0yzQpDQB3(vGrByMSYMp9h) - ehT0Px3KOsy9(chr(236 - 188) + chr(0b1101111) + chr(49), 8))])
NXd0aqYJd4lK += ehT0Px3KOsy9('\x30' + '\157' + '\061', 8)
elif OhZfTtIXfIah == xafqLlk3kkUe(SXOLrMavuUCe(b'HN\x98\x17=\x9a\xfc\xb3%'), '\144' + '\145' + chr(99) + '\x6f' + chr(100) + '\x65')('\165' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b110010 + 0o6)):
xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b']L\x89\x1c \x8e'), '\144' + chr(0b1100101) + chr(99) + '\157' + chr(9789 - 9689) + chr(0b110111 + 0o56))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + '\070'))(vGrByMSYMp9h[NXd0aqYJd4lK + ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10110 + 0o33), 8)] if NXd0aqYJd4lK + ehT0Px3KOsy9(chr(1317 - 1269) + '\x6f' + chr(49), 8) < c2A0yzQpDQB3(vGrByMSYMp9h) else xafqLlk3kkUe(SXOLrMavuUCe(b''), '\x64' + '\145' + chr(99) + chr(0b1101111 + 0o0) + '\144' + chr(9009 - 8908))('\165' + '\x74' + '\x66' + chr(0b101101) + chr(2037 - 1981)))
xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b']L\x89\x1c \x8e'), chr(0b1100100) + chr(9475 - 9374) + '\143' + '\x6f' + '\144' + '\145')(chr(0b1110101) + chr(341 - 225) + chr(0b101100 + 0o72) + chr(0b100 + 0o51) + chr(2280 - 2224)))(vGrByMSYMp9h[NXd0aqYJd4lK])
NXd0aqYJd4lK += ehT0Px3KOsy9('\x30' + chr(111) + chr(0b0 + 0o62), 0o10)
else:
assert OhZfTtIXfIah == xafqLlk3kkUe(SXOLrMavuUCe(b'UR\x9f\x10"\x86'), chr(0b1000110 + 0o36) + '\x65' + '\x63' + chr(111) + '\x64' + chr(0b11101 + 0o110))(chr(12926 - 12809) + '\164' + chr(0b110001 + 0o65) + chr(45) + chr(56))
xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b']L\x89\x1c \x8e'), '\144' + chr(1491 - 1390) + chr(99) + chr(0b101011 + 0o104) + '\x64' + chr(4229 - 4128))(chr(10878 - 10761) + '\164' + chr(0b11010 + 0o114) + chr(0b1010 + 0o43) + chr(56)))(kyfGk2vGS2u5)
NXd0aqYJd4lK += drxw09AdRdci.FXbppO8HYrND(ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b110000), 8), Z0scJCeFNtLD)
return (xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b''), '\x64' + chr(7317 - 7216) + chr(5710 - 5611) + chr(0b1101111) + chr(332 - 232) + chr(0b1011100 + 0o11))(chr(0b111100 + 0o71) + chr(0b1110100) + chr(0b1100110) + chr(308 - 263) + chr(0b1101 + 0o53)), xafqLlk3kkUe(SXOLrMavuUCe(b'VS\x90\x17'), '\144' + chr(0b1011110 + 0o7) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(11377 - 11261) + chr(0b11001 + 0o115) + '\x2d' + '\x38'))(VHn4CV4Ymrei), guOLyFSCYkH0)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
fast_match_sequences
|
def fast_match_sequences(a,
b,
a_start=0,
a_end=None,
b_start=0,
b_end=None,
min_match_length=3,
max_recursion_depth=128):
"""Compute diffs between two sequences.
This function is similar in functionality and spirit to
difflib.SequenceMatcher.get_opcodes, but it seems to run faster.
if a_start, a_end, b_start, b_end are specified, then we compute diffs of
the segments a[a_start:a_end] and b[b_start:b_end]. Returned indices
are relative to the full sequence.
We try to match the longest matching segments first, but due to heuristics
in finding the matches, this is not guaranteed.
Matching segments shorter than min_match_length are counted as part of the
surrounding differing segments, unless they are at the beginning or end of
both sequences. This helps eliminate junk matches.
Args:
a: a sequence
b: a sequence
a_start: an optional integer
a_end: an optional integer
b_start: an optional integer
b_end: an optional integer
min_match_length: an integer
max_recursion_depth: an integer - avoids crashes in weird corner cases
involving pairs of long repetitive sequences.
Returns:
a list of 5-tuples (tag, i1, i2, j1, j2).
Each tuple represents the alignment of segment a[i1:i2] with b[j1:j2].
tag is either "equal" or "diff". Note that the tags differ from those
returned by difflib.SequenceMatcher.get_opcodes.
"""
if a_end is None:
a_end = len(a)
if b_end is None:
b_end = len(b)
if a_start == a_end and b_start == b_end:
return []
if a_start == a_end or b_start == b_end:
return [("diff", a_start, a_end, b_start, b_end)]
# Compute an index from value to first occurrence in the b segment.
# Technically, we should index and explore all occurrences of a value,
# but that might be much slower.
b_index = {}
for j in range(b_end - 1, b_start - 1, -1):
b_index[b[j]] = j
# we will look for the longest match we can find.
max_match_length = 0
a_pos = a_start
while a_pos < a_end:
val = a[a_pos]
b_pos = b_index.get(val)
if b_pos is None:
a_pos += 1
continue
else:
a_match_start = a_pos
a_match_end = a_pos + 1
b_match_start = b_pos
b_match_end = b_pos + 1
while (a_match_start > a_start and b_match_start > b_start and
a[a_match_start - 1] == b[b_match_start - 1]):
a_match_start -= 1
b_match_start -= 1
while (a_match_end < a_end and b_match_end < b_end and
a[a_match_end] == b[b_match_end]):
a_match_end += 1
b_match_end += 1
# Compute the length of the matching segment. We prefer the longest.
match_length = a_match_end - a_match_start
# Extra credit for matching at the beginning or end of the sequence.
if a_match_start == 0 and b_match_start == 0:
match_length += min_match_length
if a_match_end == len(a) and b_match_end == len(b):
match_length += min_match_length
if match_length > max_match_length:
max_match_length = match_length
best_match = (a_match_start, a_match_end, b_match_start, b_match_end)
# advance a_pos to the end of this match to avoid wasting time
# rediscovering this match.
a_pos = a_match_end
if max_match_length < min_match_length or max_recursion_depth == 0:
return [("diff", a_start, a_end, b_start, b_end)]
a_match_start, a_match_end, b_match_start, b_match_end = best_match
return (fast_match_sequences(
a, b, a_start, a_match_start, b_start, b_match_start, min_match_length,
max_recursion_depth - 1) + [
("equal", a_match_start, a_match_end, b_match_start, b_match_end)
] + fast_match_sequences(a, b, a_match_end, a_end, b_match_end, b_end,
min_match_length, max_recursion_depth - 1))
|
python
|
def fast_match_sequences(a,
b,
a_start=0,
a_end=None,
b_start=0,
b_end=None,
min_match_length=3,
max_recursion_depth=128):
"""Compute diffs between two sequences.
This function is similar in functionality and spirit to
difflib.SequenceMatcher.get_opcodes, but it seems to run faster.
if a_start, a_end, b_start, b_end are specified, then we compute diffs of
the segments a[a_start:a_end] and b[b_start:b_end]. Returned indices
are relative to the full sequence.
We try to match the longest matching segments first, but due to heuristics
in finding the matches, this is not guaranteed.
Matching segments shorter than min_match_length are counted as part of the
surrounding differing segments, unless they are at the beginning or end of
both sequences. This helps eliminate junk matches.
Args:
a: a sequence
b: a sequence
a_start: an optional integer
a_end: an optional integer
b_start: an optional integer
b_end: an optional integer
min_match_length: an integer
max_recursion_depth: an integer - avoids crashes in weird corner cases
involving pairs of long repetitive sequences.
Returns:
a list of 5-tuples (tag, i1, i2, j1, j2).
Each tuple represents the alignment of segment a[i1:i2] with b[j1:j2].
tag is either "equal" or "diff". Note that the tags differ from those
returned by difflib.SequenceMatcher.get_opcodes.
"""
if a_end is None:
a_end = len(a)
if b_end is None:
b_end = len(b)
if a_start == a_end and b_start == b_end:
return []
if a_start == a_end or b_start == b_end:
return [("diff", a_start, a_end, b_start, b_end)]
# Compute an index from value to first occurrence in the b segment.
# Technically, we should index and explore all occurrences of a value,
# but that might be much slower.
b_index = {}
for j in range(b_end - 1, b_start - 1, -1):
b_index[b[j]] = j
# we will look for the longest match we can find.
max_match_length = 0
a_pos = a_start
while a_pos < a_end:
val = a[a_pos]
b_pos = b_index.get(val)
if b_pos is None:
a_pos += 1
continue
else:
a_match_start = a_pos
a_match_end = a_pos + 1
b_match_start = b_pos
b_match_end = b_pos + 1
while (a_match_start > a_start and b_match_start > b_start and
a[a_match_start - 1] == b[b_match_start - 1]):
a_match_start -= 1
b_match_start -= 1
while (a_match_end < a_end and b_match_end < b_end and
a[a_match_end] == b[b_match_end]):
a_match_end += 1
b_match_end += 1
# Compute the length of the matching segment. We prefer the longest.
match_length = a_match_end - a_match_start
# Extra credit for matching at the beginning or end of the sequence.
if a_match_start == 0 and b_match_start == 0:
match_length += min_match_length
if a_match_end == len(a) and b_match_end == len(b):
match_length += min_match_length
if match_length > max_match_length:
max_match_length = match_length
best_match = (a_match_start, a_match_end, b_match_start, b_match_end)
# advance a_pos to the end of this match to avoid wasting time
# rediscovering this match.
a_pos = a_match_end
if max_match_length < min_match_length or max_recursion_depth == 0:
return [("diff", a_start, a_end, b_start, b_end)]
a_match_start, a_match_end, b_match_start, b_match_end = best_match
return (fast_match_sequences(
a, b, a_start, a_match_start, b_start, b_match_start, min_match_length,
max_recursion_depth - 1) + [
("equal", a_match_start, a_match_end, b_match_start, b_match_end)
] + fast_match_sequences(a, b, a_match_end, a_end, b_match_end, b_end,
min_match_length, max_recursion_depth - 1))
|
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Compute diffs between two sequences.
This function is similar in functionality and spirit to
difflib.SequenceMatcher.get_opcodes, but it seems to run faster.
if a_start, a_end, b_start, b_end are specified, then we compute diffs of
the segments a[a_start:a_end] and b[b_start:b_end]. Returned indices
are relative to the full sequence.
We try to match the longest matching segments first, but due to heuristics
in finding the matches, this is not guaranteed.
Matching segments shorter than min_match_length are counted as part of the
surrounding differing segments, unless they are at the beginning or end of
both sequences. This helps eliminate junk matches.
Args:
a: a sequence
b: a sequence
a_start: an optional integer
a_end: an optional integer
b_start: an optional integer
b_end: an optional integer
min_match_length: an integer
max_recursion_depth: an integer - avoids crashes in weird corner cases
involving pairs of long repetitive sequences.
Returns:
a list of 5-tuples (tag, i1, i2, j1, j2).
Each tuple represents the alignment of segment a[i1:i2] with b[j1:j2].
tag is either "equal" or "diff". Note that the tags differ from those
returned by difflib.SequenceMatcher.get_opcodes.
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L577-L675
|
train
|
This function will fast match two sequences.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b1100 + 0o45) + chr(0b1111 + 0o43) + chr(2381 - 2332), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1110 + 0o50) + chr(0b110010), 4220 - 4212), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1111 + 0o41), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(565 - 513) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(706 - 658) + '\157' + '\x31' + '\x30' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(54) + '\x34', 15496 - 15488), ehT0Px3KOsy9(chr(0b110000) + chr(10338 - 10227) + chr(0b110001) + chr(0b110110) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + '\x31' + chr(371 - 316) + chr(1637 - 1582), 38138 - 38130), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b110010) + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(545 - 495) + chr(0b110110) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(10623 - 10512) + chr(51) + chr(2077 - 2023) + '\x33', 64885 - 64877), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(1247 - 1136) + chr(53) + chr(618 - 568), 17910 - 17902), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(0b110001) + chr(48) + chr(777 - 722), 0b1000), ehT0Px3KOsy9(chr(1082 - 1034) + chr(111) + chr(0b101 + 0o56) + '\x35' + chr(0b100101 + 0o16), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b110101) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1693 - 1638) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(0b1111 + 0o42) + chr(49) + chr(1653 - 1599), 59248 - 59240), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(164 - 115) + '\060' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(2245 - 2192) + chr(0b110000), 8), ehT0Px3KOsy9(chr(1466 - 1418) + '\x6f' + chr(2339 - 2290) + chr(50) + chr(0b11010 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b10110 + 0o34) + chr(1348 - 1298) + chr(0b110011 + 0o4), 16140 - 16132), ehT0Px3KOsy9(chr(1222 - 1174) + '\157' + chr(714 - 664) + chr(0b1001 + 0o47) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1824 - 1773) + chr(51) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(653 - 605) + chr(51), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(2013 - 1964), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b10001 + 0o45) + '\062', 12284 - 12276), ehT0Px3KOsy9('\060' + chr(1521 - 1410) + chr(1827 - 1776) + chr(0b11100 + 0o32) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(1158 - 1110) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000000 + 0o57) + '\x31' + chr(55) + '\064', 47288 - 47280), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + '\x33' + '\x31' + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000 + 0o1) + chr(0b110111) + chr(2416 - 2361), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110 + 0o53) + chr(0b110000) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000) + chr(2795 - 2684) + '\063' + chr(500 - 451) + chr(0b110100), 21925 - 21917), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(2646 - 2591) + chr(1852 - 1804), 41186 - 41178), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + '\x31' + chr(447 - 395) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110000) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + chr(472 - 417) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1279 - 1229) + chr(1315 - 1265) + chr(1123 - 1075), 52074 - 52066), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b11110 + 0o27) + chr(0b110111), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + '\x35' + chr(1901 - 1853), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f'), chr(0b110110 + 0o56) + chr(0b1110 + 0o127) + chr(99) + chr(111) + '\144' + '\145')(chr(117) + '\x74' + chr(102) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _hqnPaqLUZdT(XPh1qbAgrPgG, wmN3dvez4qzC, kJxhfCnnsr59=ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110000), 8), nwAPXB_FiakW=None, e2B1FJBCxKo2=ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b111010 + 0o65) + '\060', 8), gei2uCNThLaS=None, akEHIkAuEY7C=ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1111 + 0o44), 1569 - 1561), JmCCsLfDWJwz=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b11101 + 0o23) + chr(48), 0o10)):
if nwAPXB_FiakW is None:
nwAPXB_FiakW = c2A0yzQpDQB3(XPh1qbAgrPgG)
if gei2uCNThLaS is None:
gei2uCNThLaS = c2A0yzQpDQB3(wmN3dvez4qzC)
if kJxhfCnnsr59 == nwAPXB_FiakW and e2B1FJBCxKo2 == gei2uCNThLaS:
return []
if kJxhfCnnsr59 == nwAPXB_FiakW or e2B1FJBCxKo2 == gei2uCNThLaS:
return [(xafqLlk3kkUe(SXOLrMavuUCe(b'5[f@'), chr(0b110001 + 0o63) + chr(0b1011011 + 0o12) + chr(99) + chr(111) + chr(0b1100001 + 0o3) + chr(101))(chr(0b1110101) + chr(0b1010000 + 0o44) + '\146' + chr(45) + chr(0b110100 + 0o4)), kJxhfCnnsr59, nwAPXB_FiakW, e2B1FJBCxKo2, gei2uCNThLaS)]
O0H52PL3QGUs = {}
for tlORBuYsiw3X in vQr8gNKaIaWE(gei2uCNThLaS - ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + '\x31', 55242 - 55234), e2B1FJBCxKo2 - ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11101 + 0o24), 8), -ehT0Px3KOsy9(chr(1581 - 1533) + '\157' + chr(596 - 547), 8)):
O0H52PL3QGUs[wmN3dvez4qzC[tlORBuYsiw3X]] = tlORBuYsiw3X
XbjWvlsYJ5eJ = ehT0Px3KOsy9('\060' + chr(111) + '\060', 8)
bJzKRUV2Miyc = kJxhfCnnsr59
while bJzKRUV2Miyc < nwAPXB_FiakW:
pQxH2D_k9sXQ = XPh1qbAgrPgG[bJzKRUV2Miyc]
ok_IARIkQZLA = O0H52PL3QGUs.get(pQxH2D_k9sXQ)
if ok_IARIkQZLA is None:
bJzKRUV2Miyc += ehT0Px3KOsy9(chr(1378 - 1330) + chr(111) + '\061', 8)
continue
else:
niN3nl8UormO = bJzKRUV2Miyc
jAlZfVBdsn2A = bJzKRUV2Miyc + ehT0Px3KOsy9('\060' + chr(1328 - 1217) + '\061', 8)
H9Ni5p8N0C5c = ok_IARIkQZLA
wfAcTHlGZAMT = ok_IARIkQZLA + ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001), 8)
while niN3nl8UormO > kJxhfCnnsr59 and H9Ni5p8N0C5c > e2B1FJBCxKo2 and (XPh1qbAgrPgG[niN3nl8UormO - ehT0Px3KOsy9(chr(48) + chr(0b1100111 + 0o10) + '\061', 8)] == wmN3dvez4qzC[H9Ni5p8N0C5c - ehT0Px3KOsy9(chr(48) + chr(0b1101 + 0o142) + chr(49), 8)]):
niN3nl8UormO -= ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + '\061', 8)
H9Ni5p8N0C5c -= ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100010 + 0o17), 8)
while jAlZfVBdsn2A < nwAPXB_FiakW and wfAcTHlGZAMT < gei2uCNThLaS and (XPh1qbAgrPgG[jAlZfVBdsn2A] == wmN3dvez4qzC[wfAcTHlGZAMT]):
jAlZfVBdsn2A += ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2267 - 2218), 8)
wfAcTHlGZAMT += ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11 + 0o56), 8)
wg7XW8iafvM5 = jAlZfVBdsn2A - niN3nl8UormO
if niN3nl8UormO == ehT0Px3KOsy9('\x30' + '\157' + chr(0b100 + 0o54), 8) and H9Ni5p8N0C5c == ehT0Px3KOsy9(chr(1039 - 991) + '\x6f' + '\x30', 8):
wg7XW8iafvM5 += akEHIkAuEY7C
if jAlZfVBdsn2A == c2A0yzQpDQB3(XPh1qbAgrPgG) and wfAcTHlGZAMT == c2A0yzQpDQB3(wmN3dvez4qzC):
wg7XW8iafvM5 += akEHIkAuEY7C
if wg7XW8iafvM5 > XbjWvlsYJ5eJ:
XbjWvlsYJ5eJ = wg7XW8iafvM5
K6JICulS_mj0 = (niN3nl8UormO, jAlZfVBdsn2A, H9Ni5p8N0C5c, wfAcTHlGZAMT)
bJzKRUV2Miyc = jAlZfVBdsn2A
if XbjWvlsYJ5eJ < akEHIkAuEY7C or JmCCsLfDWJwz == ehT0Px3KOsy9(chr(48) + '\x6f' + '\x30', 8):
return [(xafqLlk3kkUe(SXOLrMavuUCe(b'5[f@'), chr(0b1011011 + 0o11) + chr(0b110010 + 0o63) + chr(99) + chr(0b1100 + 0o143) + '\x64' + chr(0b1100101))(chr(0b1001001 + 0o54) + chr(0b1110100) + chr(9201 - 9099) + chr(0b101101) + chr(56)), kJxhfCnnsr59, nwAPXB_FiakW, e2B1FJBCxKo2, gei2uCNThLaS)]
(niN3nl8UormO, jAlZfVBdsn2A, H9Ni5p8N0C5c, wfAcTHlGZAMT) = K6JICulS_mj0
return _hqnPaqLUZdT(XPh1qbAgrPgG, wmN3dvez4qzC, kJxhfCnnsr59, niN3nl8UormO, e2B1FJBCxKo2, H9Ni5p8N0C5c, akEHIkAuEY7C, JmCCsLfDWJwz - ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + chr(2267 - 2218), 8)) + [(xafqLlk3kkUe(SXOLrMavuUCe(b'4CuG,'), chr(100) + chr(0b1100101) + '\143' + chr(11579 - 11468) + chr(0b1100100) + chr(0b1100000 + 0o5))('\x75' + '\164' + '\146' + chr(0b101101) + chr(0b111000)), niN3nl8UormO, jAlZfVBdsn2A, H9Ni5p8N0C5c, wfAcTHlGZAMT)] + _hqnPaqLUZdT(XPh1qbAgrPgG, wmN3dvez4qzC, jAlZfVBdsn2A, nwAPXB_FiakW, wfAcTHlGZAMT, gei2uCNThLaS, akEHIkAuEY7C, JmCCsLfDWJwz - ehT0Px3KOsy9('\060' + '\157' + '\x31', 8))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/restore_hook.py
|
RestoreHook.begin
|
def begin(self):
"""Load variables from checkpoint.
New model variables have the following name foramt:
new_model_scope/old_model_scope/xxx/xxx:0 To find the map of
name to variable, need to strip the new_model_scope and then
match the old_model_scope and remove the suffix :0.
"""
variables_to_restore = tf.contrib.framework.get_variables_to_restore(
include=self._include, exclude=self._exclude)
# remove new_model_scope from variable name prefix
assignment_map = {variable.name[len(self._new_model_scope):]: variable
for variable in variables_to_restore
if variable.name.startswith(self._new_model_scope)}
# remove :0 from variable name suffix
assignment_map = {name.split(":")[0]: variable
for name, variable in six.iteritems(assignment_map)
if name.startswith(self._old_model_scope)}
self._assignment_map = assignment_map
tf.logging.info("restoring %d variables from checkpoint %s"%(
len(assignment_map), self._checkpoint_path))
tf.train.init_from_checkpoint(self._checkpoint_path, self._assignment_map)
|
python
|
def begin(self):
"""Load variables from checkpoint.
New model variables have the following name foramt:
new_model_scope/old_model_scope/xxx/xxx:0 To find the map of
name to variable, need to strip the new_model_scope and then
match the old_model_scope and remove the suffix :0.
"""
variables_to_restore = tf.contrib.framework.get_variables_to_restore(
include=self._include, exclude=self._exclude)
# remove new_model_scope from variable name prefix
assignment_map = {variable.name[len(self._new_model_scope):]: variable
for variable in variables_to_restore
if variable.name.startswith(self._new_model_scope)}
# remove :0 from variable name suffix
assignment_map = {name.split(":")[0]: variable
for name, variable in six.iteritems(assignment_map)
if name.startswith(self._old_model_scope)}
self._assignment_map = assignment_map
tf.logging.info("restoring %d variables from checkpoint %s"%(
len(assignment_map), self._checkpoint_path))
tf.train.init_from_checkpoint(self._checkpoint_path, self._assignment_map)
|
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"init_from_checkpoint",
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"_checkpoint_path",
",",
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"_assignment_map",
")"
] |
Load variables from checkpoint.
New model variables have the following name foramt:
new_model_scope/old_model_scope/xxx/xxx:0 To find the map of
name to variable, need to strip the new_model_scope and then
match the old_model_scope and remove the suffix :0.
|
[
"Load",
"variables",
"from",
"checkpoint",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/restore_hook.py#L38-L61
|
train
|
Load variables from checkpoint.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(624 - 574) + chr(1404 - 1350) + chr(55), 57048 - 57040), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6644 - 6533) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(2058 - 2007) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2255 - 2206) + chr(0b110111) + '\061', 30919 - 30911), ehT0Px3KOsy9('\060' + chr(5761 - 5650) + chr(0b110011) + '\065' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(52) + chr(0b110110 + 0o0), 60801 - 60793), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001 + 0o0) + chr(0b1001 + 0o55) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(243 - 195) + chr(4951 - 4840) + chr(51) + chr(476 - 424) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10100 + 0o35) + chr(0b1001 + 0o50) + chr(0b11110 + 0o25), 20037 - 20029), ehT0Px3KOsy9(chr(752 - 704) + chr(11787 - 11676) + chr(1336 - 1281) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(2180 - 2128) + chr(2384 - 2335), 4137 - 4129), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b10011 + 0o41) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111111 + 0o60) + chr(49) + chr(2212 - 2160) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(948 - 893) + '\065', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110101) + chr(0b1101 + 0o50), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(50) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + '\x33' + chr(1029 - 981) + chr(0b11100 + 0o33), 16428 - 16420), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10 + 0o57) + '\067' + chr(0b10110 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101100 + 0o11) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + '\061' + '\067' + chr(321 - 271), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(0b10011 + 0o37) + chr(0b110111) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(759 - 709) + '\067' + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + '\x31' + chr(53) + chr(49), 58361 - 58353), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101110 + 0o5) + '\x37' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(7050 - 6939) + chr(0b110011) + chr(0b11100 + 0o33) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(2272 - 2218) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b100001 + 0o24) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(52) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + chr(0b11000 + 0o36), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\x33' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(54) + chr(835 - 786), ord("\x08")), ehT0Px3KOsy9(chr(1913 - 1865) + chr(0b1101111) + chr(0b110001) + chr(0b10101 + 0o37) + chr(55), 0b1000), ehT0Px3KOsy9(chr(176 - 128) + chr(0b1101111) + '\067' + chr(0b101111 + 0o10), 8173 - 8165), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100010 + 0o20) + '\x33' + chr(48), 52680 - 52672), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + chr(0b10000 + 0o41) + chr(0b110110) + chr(0b101011 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\x33', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(661 - 613) + chr(111) + '\x35' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x99'), '\x64' + chr(0b1100101) + chr(4258 - 4159) + chr(3678 - 3567) + chr(0b1100100) + chr(6791 - 6690))(chr(12981 - 12864) + chr(116) + '\146' + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _UO0diKSmKME(oVre8I6UXc3b):
BpSmUgr6dTjE = IDJ2eXGCBCDu.contrib.framework.get_variables_to_restore(include=oVre8I6UXc3b._include, exclude=oVre8I6UXc3b._exclude)
VU3SdNYOIWBm = {PsTvoRLhQ56a.AIvJRzLdDfgF[c2A0yzQpDQB3(oVre8I6UXc3b._new_model_scope):]: PsTvoRLhQ56a for PsTvoRLhQ56a in BpSmUgr6dTjE if PsTvoRLhQ56a.name.startswith(oVre8I6UXc3b._new_model_scope)}
VU3SdNYOIWBm = {AIvJRzLdDfgF.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d'), chr(0b111010 + 0o52) + chr(101) + chr(99) + chr(306 - 195) + chr(100) + chr(101))('\x75' + chr(0b1101100 + 0o10) + chr(102) + chr(45) + chr(1021 - 965)))[ehT0Px3KOsy9(chr(48) + chr(0b110110 + 0o71) + '\x30', 0o10)]: PsTvoRLhQ56a for (AIvJRzLdDfgF, PsTvoRLhQ56a) in sYby0kpfssd4.iteritems(VU3SdNYOIWBm) if AIvJRzLdDfgF.startswith(oVre8I6UXc3b._old_model_scope)}
oVre8I6UXc3b.tw7qt_1qTlAz = VU3SdNYOIWBm
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4/L"t\x1a\x88\x91\x18\x88\x11V'), '\144' + chr(101) + chr(5925 - 5826) + '\x6f' + chr(5990 - 5890) + chr(1272 - 1171))(chr(6279 - 6162) + chr(0b1101000 + 0o14) + chr(1960 - 1858) + chr(404 - 359) + chr(2828 - 2772)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5}w.n\x0b\x86\xc8\x15\xc4nY\x81\x97\x03ODtt\xab\x1b[Z\xdd\xc8\x06\x93\xdd`\x9d\x88\xc6M\xa9^\x0eQ\xecP>\xc4'), chr(0b1100100) + chr(0b100101 + 0o100) + '\x63' + chr(0b1010010 + 0o35) + chr(1401 - 1301) + chr(101))(chr(7255 - 7138) + chr(0b110100 + 0o100) + chr(102) + chr(951 - 906) + chr(2283 - 2227)) % (c2A0yzQpDQB3(VU3SdNYOIWBm), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8{l?b\x12\x9f\xc9\x1b\x8a?b\xd1\x80\x16U'), '\x64' + chr(0b1100101) + chr(0b100 + 0o137) + '\157' + chr(0b101111 + 0o65) + '\x65')(chr(0b100110 + 0o117) + chr(116) + '\146' + '\055' + chr(0b0 + 0o70)))))
xafqLlk3kkUe(IDJ2eXGCBCDu.train, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdevm.^\x1f\x9d\xc9\x1f\xbb(U\xc4\x82\tMB|x\xb3'), '\x64' + '\145' + chr(0b1010 + 0o131) + '\157' + chr(0b100000 + 0o104) + '\x65')(chr(117) + chr(0b1110100) + '\146' + chr(45) + chr(0b110011 + 0o5)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8{l?b\x12\x9f\xc9\x1b\x8a?b\xd1\x80\x16U'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\157' + '\144' + chr(5538 - 5437))(chr(117) + chr(1928 - 1812) + '\x66' + chr(0b1 + 0o54) + chr(666 - 610))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3o3+u&\xde\xd7&\x88\nG'), chr(1960 - 1860) + chr(0b1100101) + '\x63' + chr(111) + chr(0b101100 + 0o70) + '\x65')(chr(0b1011110 + 0o27) + chr(0b1001110 + 0o46) + chr(0b1000001 + 0o45) + chr(0b101101) + '\070')))
|
tensorflow/tensor2tensor
|
tensor2tensor/envs/time_step.py
|
TimeStep.create_time_step
|
def create_time_step(cls,
observation=None,
done=False,
raw_reward=None,
processed_reward=None,
action=None):
"""Creates a TimeStep with both rewards and actions as optional."""
return cls(observation, done, raw_reward, processed_reward, action)
|
python
|
def create_time_step(cls,
observation=None,
done=False,
raw_reward=None,
processed_reward=None,
action=None):
"""Creates a TimeStep with both rewards and actions as optional."""
return cls(observation, done, raw_reward, processed_reward, action)
|
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] |
Creates a TimeStep with both rewards and actions as optional.
|
[
"Creates",
"a",
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"with",
"both",
"rewards",
"and",
"actions",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/envs/time_step.py#L59-L67
|
train
|
Creates a TimeStep with both rewards and actions as optional.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b11001 + 0o33) + '\066', 39415 - 39407), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(1452 - 1398) + chr(2100 - 2046), 33352 - 33344), ehT0Px3KOsy9('\060' + '\x6f' + chr(1595 - 1546) + chr(0b110001 + 0o5), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110111) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100010 + 0o15) + chr(2979 - 2924) + '\x33', 60325 - 60317), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b110110) + chr(1400 - 1347), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + chr(439 - 390), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1534 - 1484) + chr(0b10000 + 0o41) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1155 - 1106) + chr(0b110001) + chr(0b101111 + 0o1), 60431 - 60423), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(51) + '\x32' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(303 - 255) + chr(0b100110 + 0o111) + chr(0b110011) + chr(0b110101) + chr(54), 26522 - 26514), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\x37' + chr(49), 16566 - 16558), ehT0Px3KOsy9(chr(285 - 237) + '\x6f' + '\061' + '\x34' + chr(49), 9201 - 9193), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101011 + 0o4) + chr(49) + '\066' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1835 - 1787) + chr(111) + '\x31' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x34' + chr(54), 34367 - 34359), ehT0Px3KOsy9(chr(0b110000) + chr(5863 - 5752) + chr(0b110001) + chr(0b110110) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + '\065' + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + chr(51) + chr(0b110110) + chr(0b101010 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(252 - 141) + chr(50) + '\062' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + '\061' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(0b110011) + chr(0b110101) + chr(0b101000 + 0o14), 39872 - 39864), ehT0Px3KOsy9('\060' + chr(9724 - 9613) + '\x32' + '\x33' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(91 - 43) + chr(51), 0o10), ehT0Px3KOsy9(chr(479 - 431) + chr(4400 - 4289) + '\x31' + chr(123 - 73) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + chr(51) + chr(809 - 755), 0b1000), ehT0Px3KOsy9(chr(1450 - 1402) + chr(111) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5360 - 5249) + chr(51) + chr(0b110001) + '\061', 7510 - 7502), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b110110 + 0o71) + chr(0b1000 + 0o53) + chr(310 - 257) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(1034 - 981), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\x33' + chr(52) + '\066', 8), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(0b10001 + 0o41) + '\x32', 18777 - 18769), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\065' + chr(52), 8), ehT0Px3KOsy9('\x30' + chr(10223 - 10112) + '\061' + chr(0b110100) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(7801 - 7690) + chr(1647 - 1597) + chr(0b101100 + 0o6), 8), ehT0Px3KOsy9(chr(2298 - 2250) + chr(0b101011 + 0o104) + chr(722 - 673) + chr(0b1000 + 0o57) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(55) + '\x33', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + '\x32' + chr(0b11010 + 0o34) + '\065', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(274 - 226) + chr(2451 - 2340) + chr(0b110 + 0o57) + chr(0b110000), 1458 - 1450)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8'), chr(0b1100000 + 0o4) + chr(0b101000 + 0o75) + chr(0b101 + 0o136) + chr(0b100110 + 0o111) + chr(7117 - 7017) + chr(101))(chr(117) + chr(0b1110100) + chr(0b1001101 + 0o31) + chr(1372 - 1327) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WlgAbOV3S9sG(NSstowUUZlxS, mKQm526a9xSD=None, Ki86oC9WfglU=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(48), 43449 - 43441), DvXIgH6NMV3Z=None, eMNMcKhPnkSX=None, vyskHDXig6uT=None):
return NSstowUUZlxS(mKQm526a9xSD, Ki86oC9WfglU, DvXIgH6NMV3Z, eMNMcKhPnkSX, vyskHDXig6uT)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/slicenet.py
|
attention
|
def attention(targets_shifted, inputs_encoded, norm_fn, hparams, bias=None):
"""Complete attention layer with preprocessing."""
separabilities = [hparams.separability, hparams.separability]
if hparams.separability < 0:
separabilities = [hparams.separability - 1, hparams.separability]
targets_timed = common_layers.subseparable_conv_block(
common_layers.add_timing_signal(targets_shifted),
hparams.hidden_size, [((1, 1), (5, 1)), ((4, 1), (5, 1))],
normalizer_fn=norm_fn,
padding="LEFT",
separabilities=separabilities,
name="targets_time")
if hparams.attention_type == "transformer":
targets_timed = tf.squeeze(targets_timed, 2)
target_shape = tf.shape(targets_timed)
targets_segment = tf.zeros([target_shape[0], target_shape[1]])
target_attention_bias = common_attention.attention_bias(
targets_segment, targets_segment, lower_triangular=True)
inputs_attention_bias = tf.zeros([
tf.shape(inputs_encoded)[0], hparams.num_heads,
tf.shape(targets_segment)[1],
tf.shape(inputs_encoded)[1]
])
qv = common_attention.multihead_attention(
targets_timed,
None,
target_attention_bias,
hparams.hidden_size,
hparams.hidden_size,
hparams.hidden_size,
hparams.num_heads,
hparams.attention_dropout,
name="self_attention")
qv = common_attention.multihead_attention(
qv,
inputs_encoded,
inputs_attention_bias,
hparams.hidden_size,
hparams.hidden_size,
hparams.hidden_size,
hparams.num_heads,
hparams.attention_dropout,
name="encdec_attention")
return tf.expand_dims(qv, 2)
elif hparams.attention_type == "simple":
targets_with_attention = common_layers.simple_attention(
targets_timed, inputs_encoded, bias=bias)
return norm_fn(targets_shifted + targets_with_attention, name="attn_norm")
|
python
|
def attention(targets_shifted, inputs_encoded, norm_fn, hparams, bias=None):
"""Complete attention layer with preprocessing."""
separabilities = [hparams.separability, hparams.separability]
if hparams.separability < 0:
separabilities = [hparams.separability - 1, hparams.separability]
targets_timed = common_layers.subseparable_conv_block(
common_layers.add_timing_signal(targets_shifted),
hparams.hidden_size, [((1, 1), (5, 1)), ((4, 1), (5, 1))],
normalizer_fn=norm_fn,
padding="LEFT",
separabilities=separabilities,
name="targets_time")
if hparams.attention_type == "transformer":
targets_timed = tf.squeeze(targets_timed, 2)
target_shape = tf.shape(targets_timed)
targets_segment = tf.zeros([target_shape[0], target_shape[1]])
target_attention_bias = common_attention.attention_bias(
targets_segment, targets_segment, lower_triangular=True)
inputs_attention_bias = tf.zeros([
tf.shape(inputs_encoded)[0], hparams.num_heads,
tf.shape(targets_segment)[1],
tf.shape(inputs_encoded)[1]
])
qv = common_attention.multihead_attention(
targets_timed,
None,
target_attention_bias,
hparams.hidden_size,
hparams.hidden_size,
hparams.hidden_size,
hparams.num_heads,
hparams.attention_dropout,
name="self_attention")
qv = common_attention.multihead_attention(
qv,
inputs_encoded,
inputs_attention_bias,
hparams.hidden_size,
hparams.hidden_size,
hparams.hidden_size,
hparams.num_heads,
hparams.attention_dropout,
name="encdec_attention")
return tf.expand_dims(qv, 2)
elif hparams.attention_type == "simple":
targets_with_attention = common_layers.simple_attention(
targets_timed, inputs_encoded, bias=bias)
return norm_fn(targets_shifted + targets_with_attention, name="attn_norm")
|
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] |
Complete attention layer with preprocessing.
|
[
"Complete",
"attention",
"layer",
"with",
"preprocessing",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/slicenet.py#L33-L81
|
train
|
Complete attention layer with preprocessing.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(111) + chr(0b110100) + '\x31', 0b1000), ehT0Px3KOsy9(chr(730 - 682) + chr(1732 - 1621) + '\x32' + '\061' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(614 - 566) + chr(111) + chr(52) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\x33' + chr(0b1 + 0o62), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10731 - 10620) + '\067' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1956 - 1845) + chr(51) + '\x30' + chr(0b10000 + 0o46), 52501 - 52493), ehT0Px3KOsy9(chr(0b110000) + chr(5775 - 5664) + chr(0b11111 + 0o23) + '\062' + chr(521 - 470), 22394 - 22386), ehT0Px3KOsy9(chr(48) + chr(3567 - 3456) + '\062' + chr(0b100011 + 0o20) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\060' + '\x30', 62329 - 62321), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101101 + 0o2) + '\063' + chr(0b110001) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b1101 + 0o44) + '\063' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1478 - 1429) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101011 + 0o4) + chr(0b1 + 0o62) + chr(305 - 253) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x32' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(2810 - 2756) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(52) + chr(1836 - 1786), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + chr(0b110001) + chr(52) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(973 - 925) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(122 - 11) + chr(0b110011) + '\063' + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + '\061' + chr(52) + chr(55), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(1067 - 1013) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + chr(51) + '\x30', 16543 - 16535), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(301 - 247) + chr(0b0 + 0o67), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110101) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(118 - 67) + chr(54) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(2104 - 2052) + chr(872 - 818), 0o10), ehT0Px3KOsy9('\060' + chr(9180 - 9069) + '\x31' + '\x32' + chr(423 - 371), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110100 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7643 - 7532) + chr(538 - 489) + chr(0b110100) + chr(1306 - 1252), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1471 - 1420) + chr(691 - 637) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(0b110001 + 0o76) + '\062' + chr(0b11010 + 0o26) + '\066', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x34' + chr(0b110001 + 0o5), 0b1000), ehT0Px3KOsy9('\x30' + chr(8142 - 8031) + chr(0b1000 + 0o52) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\060' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\x34' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(4739 - 4628) + chr(1584 - 1535) + chr(2471 - 2421) + chr(2061 - 2012), 0o10), ehT0Px3KOsy9(chr(798 - 750) + chr(111) + chr(1738 - 1686), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(50) + '\061', 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(0b110010) + chr(0b101010 + 0o11) + chr(1440 - 1387), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1805 - 1755) + chr(52) + chr(0b11100 + 0o33), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2615 - 2562) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f'), '\x64' + '\145' + chr(3189 - 3090) + '\157' + chr(100) + chr(101))(chr(0b1110101) + '\164' + '\x66' + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def iJflGWIA0tgf(gMjpgbd8teWf, _XjxEMV9zr2K, ikGWzUpjFUX8, n4ljua2gi1Pr, IKTrMTySqz10=None):
xzn0_ALuKp3T = [n4ljua2gi1Pr.separability, n4ljua2gi1Pr.separability]
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'R\xecR\xfaL\xa7\xf1\xf0\xac\xa4,r'), chr(0b100101 + 0o77) + '\145' + '\143' + '\157' + '\x64' + chr(0b1001001 + 0o34))('\x75' + '\x74' + chr(0b11 + 0o143) + chr(1869 - 1824) + '\070')) < ehT0Px3KOsy9(chr(48) + '\x6f' + chr(48), 0o10):
xzn0_ALuKp3T = [n4ljua2gi1Pr.separability - ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(961 - 850) + chr(0b1001 + 0o50), 47189 - 47181), n4ljua2gi1Pr.separability]
m4lqvP1MqDso = jSKPaHwSAfVv.subseparable_conv_block(jSKPaHwSAfVv.add_timing_signal(gMjpgbd8teWf), n4ljua2gi1Pr.qzoyXN3kdhDL, [((ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(553 - 504), 8), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + chr(693 - 644), 8)), (ehT0Px3KOsy9(chr(0b110000) + chr(10938 - 10827) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(8709 - 8598) + chr(0b11001 + 0o30), 8))), ((ehT0Px3KOsy9('\060' + chr(111) + chr(0b100110 + 0o16), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31', 8)), (ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b101110 + 0o101) + '\x35', 8), ehT0Px3KOsy9(chr(1627 - 1579) + chr(0b101100 + 0o103) + chr(0b11100 + 0o25), 8)))], normalizer_fn=ikGWzUpjFUX8, padding=xafqLlk3kkUe(SXOLrMavuUCe(b'm\xccd\xcf'), chr(0b1100100) + chr(6357 - 6256) + chr(9566 - 9467) + chr(3819 - 3708) + chr(100) + chr(1894 - 1793))('\165' + chr(116) + chr(102) + chr(45) + chr(0b10001 + 0o47)), separabilities=xzn0_ALuKp3T, name=xafqLlk3kkUe(SXOLrMavuUCe(b'U\xe8P\xfc[\xb2\xe0\xc6\xb4\xa45n'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\x6f' + chr(100) + chr(101))('\x75' + chr(7239 - 7123) + chr(0b1100000 + 0o6) + chr(0b101101) + chr(835 - 779)))
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'M\xd3\x13\xdc|\xf2\xdf\xab\xaf\x80=L'), chr(0b1100100) + '\145' + chr(0b10011 + 0o120) + chr(0b101 + 0o152) + chr(0b1100100) + chr(0b1100101))(chr(4568 - 4451) + chr(8538 - 8422) + chr(8537 - 8435) + chr(760 - 715) + chr(0b101111 + 0o11))) == xafqLlk3kkUe(SXOLrMavuUCe(b'U\xfbC\xf5M\xa0\xfc\xeb\xad\xa8*'), '\144' + '\x65' + '\x63' + chr(111) + '\144' + chr(0b1100101))(chr(4879 - 4762) + chr(0b100001 + 0o123) + '\146' + chr(0b11 + 0o52) + chr(0b111000)):
m4lqvP1MqDso = IDJ2eXGCBCDu.squeeze(m4lqvP1MqDso, ehT0Px3KOsy9(chr(48) + chr(111) + '\062', 0b1000))
nk7Ena0OgGVQ = IDJ2eXGCBCDu.nauYfLglTpcb(m4lqvP1MqDso)
nZOV9vyjFzO0 = IDJ2eXGCBCDu.zeros([nk7Ena0OgGVQ[ehT0Px3KOsy9(chr(110 - 62) + '\157' + chr(0b110000), 8)], nk7Ena0OgGVQ[ehT0Px3KOsy9(chr(244 - 196) + chr(7226 - 7115) + '\x31', 8)]])
ur4Z263W3_fa = WOnrfm4dlYcf.attention_bias(nZOV9vyjFzO0, nZOV9vyjFzO0, lower_triangular=ehT0Px3KOsy9('\060' + '\x6f' + '\x31', 8))
nKEyUbbe3oO5 = IDJ2eXGCBCDu.zeros([IDJ2eXGCBCDu.nauYfLglTpcb(_XjxEMV9zr2K)[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000), 8)], n4ljua2gi1Pr.vRVqPOZ1hUG7, IDJ2eXGCBCDu.nauYfLglTpcb(nZOV9vyjFzO0)[ehT0Px3KOsy9('\060' + chr(8262 - 8151) + '\x31', 8)], IDJ2eXGCBCDu.nauYfLglTpcb(_XjxEMV9zr2K)[ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(0b11000 + 0o31), 8)]])
ngVzN8Hzb8t_ = WOnrfm4dlYcf.multihead_attention(m4lqvP1MqDso, None, ur4Z263W3_fa, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, n4ljua2gi1Pr.RdMRr3qkYioQ, name=xafqLlk3kkUe(SXOLrMavuUCe(b'R\xecN\xfda\xa7\xe7\xed\xa5\xa3,b\x8f\xff'), chr(0b1100100) + '\145' + chr(0b1001001 + 0o32) + chr(6019 - 5908) + chr(100) + '\x65')(chr(117) + chr(116) + '\146' + '\055' + chr(56)))
ngVzN8Hzb8t_ = WOnrfm4dlYcf.multihead_attention(ngVzN8Hzb8t_, _XjxEMV9zr2K, nKEyUbbe3oO5, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, n4ljua2gi1Pr.RdMRr3qkYioQ, name=xafqLlk3kkUe(SXOLrMavuUCe(b'D\xe7A\xff[\xa5\xcc\xf8\xb4\xb9=e\x94\xf8\x1b\x8c'), '\x64' + '\145' + chr(0b11100 + 0o107) + chr(0b1101111) + chr(100) + chr(7231 - 7130))(chr(12574 - 12457) + chr(0b1110100) + chr(0b110011 + 0o63) + chr(0b101101) + '\x38'))
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'D\xf1R\xfaP\xa2\xcc\xfd\xa9\xa0+'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(8465 - 8354) + '\144' + chr(101))('\165' + '\164' + '\x66' + chr(0b1000 + 0o45) + '\x38'))(ngVzN8Hzb8t_, ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010), 8))
elif xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'M\xd3\x13\xdc|\xf2\xdf\xab\xaf\x80=L'), chr(100) + chr(728 - 627) + chr(5688 - 5589) + chr(0b1101111) + '\x64' + chr(0b101000 + 0o75))(chr(0b1010100 + 0o41) + '\164' + '\x66' + '\x2d' + chr(0b0 + 0o70))) == xafqLlk3kkUe(SXOLrMavuUCe(b'R\xe0O\xebR\xa3'), '\144' + '\145' + chr(99) + chr(111) + chr(0b1100100) + chr(101))('\x75' + '\164' + '\x66' + '\x2d' + chr(2454 - 2398)):
lHgEAVZxaply = jSKPaHwSAfVv.simple_attention(m4lqvP1MqDso, _XjxEMV9zr2K, bias=IKTrMTySqz10)
return ikGWzUpjFUX8(gMjpgbd8teWf + lHgEAVZxaply, name=xafqLlk3kkUe(SXOLrMavuUCe(b'@\xfdV\xf5a\xa8\xfc\xeb\xad'), chr(0b1001101 + 0o27) + chr(101) + chr(1711 - 1612) + chr(607 - 496) + chr(0b1100100) + chr(0b101 + 0o140))('\165' + '\164' + chr(8666 - 8564) + chr(0b1011 + 0o42) + chr(56)))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/slicenet.py
|
multi_conv_res
|
def multi_conv_res(x, padding, name, layers, hparams, mask=None, source=None):
"""A stack of separable convolution blocks with residual connections."""
with tf.variable_scope(name):
padding_bias = None
if mask is not None:
padding_bias = (1.0 - mask) * -1e9 # Bias to not attend to padding.
if padding == "LEFT": # Do not mask anything when left-padding.
mask = None
if (hparams.kernel_scheme in _KERNEL_SCHEMES and
hparams.dilation_scheme in _DILATION_SCHEMES):
kernels = _KERNEL_SCHEMES[hparams.kernel_scheme]
dilations = _DILATION_SCHEMES[hparams.dilation_scheme]
dilations_and_kernels = list(zip(dilations, kernels))
dilations_and_kernels1 = dilations_and_kernels[:2]
dilations_and_kernels2 = dilations_and_kernels[2:]
else:
k = (hparams.kernel_height, hparams.kernel_width)
k2 = (hparams.large_kernel_size, 1)
dilations_and_kernels1 = [((1, 1), k), ((1, 1), k)]
dilations_and_kernels2 = [((1, 1), k2), ((4, 4), k2)]
separabilities1 = [hparams.separability, hparams.separability]
separabilities2 = [hparams.separability] * len(dilations_and_kernels2)
if hparams.separability < 0:
separabilities1 = [hparams.separability - 1, hparams.separability]
separabilities2 = [
hparams.separability - i
for i in reversed(range(len(dilations_and_kernels2)))
]
def norm_fn(x, name):
with tf.variable_scope(name, default_name="norm"):
return common_layers.apply_norm(
x, hparams.norm_type, hparams.hidden_size, hparams.norm_epsilon)
for layer in range(layers):
with tf.variable_scope("layer_%d" % layer):
y = common_layers.subseparable_conv_block(
x,
hparams.hidden_size,
dilations_and_kernels1,
normalizer_fn=norm_fn,
padding=padding,
mask=mask,
separabilities=separabilities1,
name="residual1")
x += common_layers.subseparable_conv_block(
x + y,
hparams.hidden_size,
dilations_and_kernels2,
normalizer_fn=norm_fn,
padding=padding,
mask=mask,
separabilities=separabilities2,
name="residual2") + y
if source is not None and hparams.attention_type != "none":
x += attention(x, source, norm_fn, hparams, bias=padding_bias)
if mask is not None:
x *= mask
return tf.nn.dropout(x, 1.0 - hparams.dropout)
|
python
|
def multi_conv_res(x, padding, name, layers, hparams, mask=None, source=None):
"""A stack of separable convolution blocks with residual connections."""
with tf.variable_scope(name):
padding_bias = None
if mask is not None:
padding_bias = (1.0 - mask) * -1e9 # Bias to not attend to padding.
if padding == "LEFT": # Do not mask anything when left-padding.
mask = None
if (hparams.kernel_scheme in _KERNEL_SCHEMES and
hparams.dilation_scheme in _DILATION_SCHEMES):
kernels = _KERNEL_SCHEMES[hparams.kernel_scheme]
dilations = _DILATION_SCHEMES[hparams.dilation_scheme]
dilations_and_kernels = list(zip(dilations, kernels))
dilations_and_kernels1 = dilations_and_kernels[:2]
dilations_and_kernels2 = dilations_and_kernels[2:]
else:
k = (hparams.kernel_height, hparams.kernel_width)
k2 = (hparams.large_kernel_size, 1)
dilations_and_kernels1 = [((1, 1), k), ((1, 1), k)]
dilations_and_kernels2 = [((1, 1), k2), ((4, 4), k2)]
separabilities1 = [hparams.separability, hparams.separability]
separabilities2 = [hparams.separability] * len(dilations_and_kernels2)
if hparams.separability < 0:
separabilities1 = [hparams.separability - 1, hparams.separability]
separabilities2 = [
hparams.separability - i
for i in reversed(range(len(dilations_and_kernels2)))
]
def norm_fn(x, name):
with tf.variable_scope(name, default_name="norm"):
return common_layers.apply_norm(
x, hparams.norm_type, hparams.hidden_size, hparams.norm_epsilon)
for layer in range(layers):
with tf.variable_scope("layer_%d" % layer):
y = common_layers.subseparable_conv_block(
x,
hparams.hidden_size,
dilations_and_kernels1,
normalizer_fn=norm_fn,
padding=padding,
mask=mask,
separabilities=separabilities1,
name="residual1")
x += common_layers.subseparable_conv_block(
x + y,
hparams.hidden_size,
dilations_and_kernels2,
normalizer_fn=norm_fn,
padding=padding,
mask=mask,
separabilities=separabilities2,
name="residual2") + y
if source is not None and hparams.attention_type != "none":
x += attention(x, source, norm_fn, hparams, bias=padding_bias)
if mask is not None:
x *= mask
return tf.nn.dropout(x, 1.0 - hparams.dropout)
|
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] |
A stack of separable convolution blocks with residual connections.
|
[
"A",
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"convolution",
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"with",
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"connections",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/slicenet.py#L84-L142
|
train
|
A stack of separable convolution blocks with residual connections.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101100 + 0o5) + chr(0b1011 + 0o47) + chr(0b110111), 32143 - 32135), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(11218 - 11107) + '\x33' + chr(48) + chr(0b101111 + 0o2), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(52), 36627 - 36619), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10011 + 0o36) + chr(0b10011 + 0o36) + chr(0b100010 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b11100 + 0o27) + chr(55), 0o10), ehT0Px3KOsy9(chr(1945 - 1897) + '\157' + '\061' + chr(0b101010 + 0o12) + chr(50), 42171 - 42163), ehT0Px3KOsy9(chr(86 - 38) + chr(0b10000 + 0o137) + chr(0b110011) + '\x31' + chr(0b110110), 40070 - 40062), ehT0Px3KOsy9(chr(1703 - 1655) + chr(7503 - 7392) + '\x35' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x36' + chr(0b110110), 43224 - 43216), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\063' + chr(0b110100) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(54) + chr(0b1000 + 0o51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10915 - 10804) + '\061' + chr(0b10111 + 0o34) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(443 - 394) + '\061' + chr(0b10011 + 0o41), 27319 - 27311), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\064' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(0b110001) + '\066', 13481 - 13473), ehT0Px3KOsy9(chr(0b110000) + chr(9650 - 9539) + chr(0b110011) + '\067', 62066 - 62058), ehT0Px3KOsy9(chr(0b110000) + chr(5056 - 4945) + chr(0b110010) + chr(0b100011 + 0o16) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\x34' + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b110111) + chr(0b110110), 56928 - 56920), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b11110 + 0o31) + chr(0b10100 + 0o35), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(1388 - 1335) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + '\x32' + '\064' + chr(49), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\067' + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(11697 - 11586) + '\x31' + chr(54) + chr(0b110100 + 0o3), 20009 - 20001), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1095 - 1046) + chr(0b101100 + 0o4) + chr(0b110010), 30558 - 30550), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b101010 + 0o10) + chr(0b10111 + 0o34) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + '\x37' + '\061', 5794 - 5786), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(6285 - 6174) + chr(0b110010) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1470 - 1422) + chr(0b10100 + 0o133) + chr(0b101100 + 0o6) + chr(48) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(5049 - 4938) + chr(976 - 927) + chr(898 - 846) + chr(0b110 + 0o57), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\x36' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11101 + 0o30) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101011 + 0o4) + chr(0b110011) + '\063' + chr(0b100000 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(934 - 886) + chr(111) + chr(0b110001) + chr(332 - 279) + chr(1143 - 1093), 741 - 733), ehT0Px3KOsy9('\060' + chr(6429 - 6318) + '\062' + chr(48) + chr(0b100011 + 0o21), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(49) + chr(0b110011 + 0o3) + chr(0b10011 + 0o40), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110 + 0o151) + chr(51) + chr(55) + chr(0b100 + 0o61), 0b1000), ehT0Px3KOsy9(chr(314 - 266) + chr(1899 - 1788) + chr(50) + chr(49) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011 + 0o3) + chr(0b110100), 49086 - 49078)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(0b101010 + 0o13) + '\x30', 46016 - 46008)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'y'), '\x64' + '\145' + '\143' + '\x6f' + chr(0b1010 + 0o132) + '\145')(chr(0b1110101) + chr(116) + chr(102) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gFLJFopBTnDF(OeWW0F1dBPRQ, TFLseEYASEKG, AIvJRzLdDfgF, sGi5Aql23May, n4ljua2gi1Pr, Iz1jSgUKZDvt=None, Qas9W3D0Xbzi=None):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'!\xa0f"\xbe\x00\xa2Li\x91`\x1e,)'), chr(0b1100100) + '\x65' + '\143' + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(1616 - 1571) + chr(0b111000)))(AIvJRzLdDfgF):
gnGXwETnJZmc = None
if Iz1jSgUKZDvt is not None:
gnGXwETnJZmc = (1.0 - Iz1jSgUKZDvt) * -1000000000.0
if TFLseEYASEKG == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\x84R\x1f'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(100) + '\x65')(chr(5515 - 5398) + chr(116) + chr(0b1100110) + '\055' + '\x38'):
Iz1jSgUKZDvt = None
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xa4f%\xba\x0e\x91ZU\x8af\x1c9'), chr(0b1100001 + 0o3) + '\x65' + chr(99) + '\x6f' + chr(0b110011 + 0o61) + '\145')('\x75' + chr(0b1110011 + 0o1) + chr(0b100010 + 0o104) + chr(45) + chr(0b101100 + 0o14))) in PFXkcPjS_P0r and xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'3\xa8x*\xab\x0b\xa1Gi\x91`\x199!\x04'), chr(2428 - 2328) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(7643 - 7543) + chr(4792 - 4691))('\x75' + chr(12745 - 12629) + '\x66' + '\055' + '\x38')) in huiitv46fs3E:
_gqt31CHgtgB = PFXkcPjS_P0r[n4ljua2gi1Pr.kernel_scheme]
OzTCPDyKAiS7 = huiitv46fs3E[n4ljua2gi1Pr.dilation_scheme]
HfyTWMMIvuNz = YyaZ4tpXu4lf(pZ0NK2y6HRbn(OzTCPDyKAiS7, _gqt31CHgtgB))
LDyPFzEDK6bv = HfyTWMMIvuNz[:ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1719 - 1669), ord("\x08"))]
VaahfE9itWxw = HfyTWMMIvuNz[ehT0Px3KOsy9(chr(335 - 287) + '\157' + '\062', 8):]
else:
OolUPRJhRaJd = (n4ljua2gi1Pr.aWtpZRO3JbHj, n4ljua2gi1Pr.xCDNMTg51zI4)
b_VHuxu0okoq = (n4ljua2gi1Pr.large_kernel_size, ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(0b10101 + 0o34), 0o10))
LDyPFzEDK6bv = [((ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49), 8), ehT0Px3KOsy9(chr(293 - 245) + '\157' + chr(49), 8)), OolUPRJhRaJd), ((ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(0b110001), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001), 8)), OolUPRJhRaJd)]
VaahfE9itWxw = [((ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(970 - 921), 8), ehT0Px3KOsy9('\060' + chr(0b1100000 + 0o17) + chr(0b110001), 8)), b_VHuxu0okoq), ((ehT0Px3KOsy9(chr(48) + chr(0b1101000 + 0o7) + chr(210 - 158), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(52), 8)), b_VHuxu0okoq)]
yI_X83jvCjlL = [n4ljua2gi1Pr.separability, n4ljua2gi1Pr.separability]
eJSbJw4aeK43 = [n4ljua2gi1Pr.separability] * c2A0yzQpDQB3(VaahfE9itWxw)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'$\xa4d*\xad\x03\xac@Z\x8bw\x08'), chr(1504 - 1404) + '\x65' + chr(99) + '\x6f' + chr(0b1100100) + '\x65')(chr(1084 - 967) + chr(0b111101 + 0o67) + chr(0b10 + 0o144) + chr(983 - 938) + chr(56))) < ehT0Px3KOsy9(chr(2103 - 2055) + chr(10910 - 10799) + chr(0b11110 + 0o22), 0b1000):
yI_X83jvCjlL = [n4ljua2gi1Pr.separability - ehT0Px3KOsy9(chr(0b110000) + chr(2385 - 2274) + chr(0b100110 + 0o13), 8), n4ljua2gi1Pr.separability]
eJSbJw4aeK43 = [n4ljua2gi1Pr.separability - WVxHKyX45z_L for WVxHKyX45z_L in RFiwrCZH9Ie6(vQr8gNKaIaWE(c2A0yzQpDQB3(VaahfE9itWxw)))]
def ikGWzUpjFUX8(OeWW0F1dBPRQ, AIvJRzLdDfgF):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'!\xa0f"\xbe\x00\xa2Li\x91`\x1e,)'), chr(3525 - 3425) + chr(0b1100101) + '\143' + chr(0b1011100 + 0o23) + '\144' + chr(3707 - 3606))(chr(13671 - 13554) + chr(3259 - 3143) + chr(102) + '\055' + chr(0b11001 + 0o37)))(AIvJRzLdDfgF, default_name=xafqLlk3kkUe(SXOLrMavuUCe(b'9\xaef&'), chr(100) + chr(0b110011 + 0o62) + '\143' + '\x6f' + chr(7845 - 7745) + chr(101))(chr(117) + '\164' + chr(0b11100 + 0o112) + '\x2d' + chr(0b100110 + 0o22))):
return xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b"6\xb1d'\xa6=\xa0FD\x8f"), chr(0b1001001 + 0o33) + '\x65' + chr(0b1100011) + '\x6f' + '\x64' + chr(0b11110 + 0o107))(chr(0b1110101) + chr(0b1110100) + chr(3097 - 2995) + chr(45) + chr(0b111000)))(OeWW0F1dBPRQ, xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\x84!\r\xaaT\x9aJZ\xd5m\x06'), '\144' + chr(2404 - 2303) + chr(0b11111 + 0o104) + chr(0b1101111) + chr(100) + chr(7257 - 7156))(chr(0b1011010 + 0o33) + chr(116) + '\146' + chr(45) + '\x38')), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\xbb{2\x87,\xfdBR\x8aG='), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b101101 + 0o102) + '\x64' + '\x65')(chr(6999 - 6882) + '\x74' + '\x66' + chr(0b101101) + chr(56))), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'"\xf2F8\xedS\x89YL\x8c0\x06'), chr(2305 - 2205) + chr(0b10111 + 0o116) + chr(0b1100011) + chr(111) + '\x64' + chr(101))('\165' + chr(7164 - 7048) + chr(3214 - 3112) + chr(45) + chr(2605 - 2549))))
for wgamNHppspXj in vQr8gNKaIaWE(sGi5Aql23May):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'!\xa0f"\xbe\x00\xa2Li\x91`\x1e,)'), '\x64' + '\145' + '\x63' + chr(0b110011 + 0o74) + chr(0b101101 + 0o67) + chr(1922 - 1821))('\x75' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(1491 - 1435)))(xafqLlk3kkUe(SXOLrMavuUCe(b';\xa0m.\xad=\xebM'), chr(9584 - 9484) + '\x65' + '\143' + chr(0b110001 + 0o76) + chr(100) + '\x65')(chr(0b1110101) + '\x74' + '\x66' + '\x2d' + '\070') % wgamNHppspXj):
SqiSOtYOqOJH = jSKPaHwSAfVv.subseparable_conv_block(OeWW0F1dBPRQ, n4ljua2gi1Pr.qzoyXN3kdhDL, LDyPFzEDK6bv, normalizer_fn=ikGWzUpjFUX8, padding=TFLseEYASEKG, mask=Iz1jSgUKZDvt, separabilities=yI_X83jvCjlL, name=xafqLlk3kkUe(SXOLrMavuUCe(b'%\xa4g"\xbb\x17\xafE\x07'), chr(0b110100 + 0o60) + chr(0b10001 + 0o124) + chr(1383 - 1284) + chr(4318 - 4207) + '\144' + chr(5339 - 5238))(chr(117) + chr(13165 - 13049) + chr(102) + '\055' + '\070'))
OeWW0F1dBPRQ += jSKPaHwSAfVv.subseparable_conv_block(OeWW0F1dBPRQ + SqiSOtYOqOJH, n4ljua2gi1Pr.qzoyXN3kdhDL, VaahfE9itWxw, normalizer_fn=ikGWzUpjFUX8, padding=TFLseEYASEKG, mask=Iz1jSgUKZDvt, separabilities=eJSbJw4aeK43, name=xafqLlk3kkUe(SXOLrMavuUCe(b'%\xa4g"\xbb\x17\xafE\x04'), chr(100) + '\x65' + chr(7717 - 7618) + chr(0b1100110 + 0o11) + chr(100) + '\x65')(chr(0b1101010 + 0o13) + chr(0b1110100) + '\146' + chr(0b100101 + 0o10) + '\x38')) + SqiSOtYOqOJH
if Qas9W3D0Xbzi is not None and xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b';\x9b%\x0c\x9dV\x82\x1bY\xaff6'), '\x64' + '\145' + chr(0b1011101 + 0o6) + chr(154 - 43) + '\x64' + chr(101))('\x75' + chr(0b1110100) + chr(0b1011110 + 0o10) + chr(45) + chr(0b0 + 0o70))) != xafqLlk3kkUe(SXOLrMavuUCe(b'9\xaez.'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(0b1011010 + 0o12) + '\x65')('\x75' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b111 + 0o61)):
OeWW0F1dBPRQ += iJflGWIA0tgf(OeWW0F1dBPRQ, Qas9W3D0Xbzi, ikGWzUpjFUX8, n4ljua2gi1Pr, bias=gnGXwETnJZmc)
if Iz1jSgUKZDvt is not None:
OeWW0F1dBPRQ *= Iz1jSgUKZDvt
return xafqLlk3kkUe(IDJ2eXGCBCDu.nn, xafqLlk3kkUe(SXOLrMavuUCe(b"6\xa6$&\xa8'\xa9~L\x88Z\x07"), chr(0b1010101 + 0o17) + chr(0b1000111 + 0o36) + '\143' + chr(4882 - 4771) + '\x64' + chr(3984 - 3883))(chr(0b1110101) + chr(10391 - 10275) + chr(0b1100110) + chr(1662 - 1617) + chr(56)))(OeWW0F1dBPRQ, 1.0 - xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"6\xa6$&\xa8'\xa9~L\x88Z\x07"), chr(0b1100100) + '\x65' + '\143' + '\157' + chr(0b1100100) + chr(0b101100 + 0o71))(chr(11008 - 10891) + chr(0b1001011 + 0o51) + chr(8098 - 7996) + '\055' + '\070')))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/slicenet.py
|
rank_loss
|
def rank_loss(sentence_emb, image_emb, margin=0.2):
"""Experimental rank loss, thanks to kkurach@ for the code."""
with tf.name_scope("rank_loss"):
# Normalize first as this is assumed in cosine similarity later.
sentence_emb = tf.nn.l2_normalize(sentence_emb, 1)
image_emb = tf.nn.l2_normalize(image_emb, 1)
# Both sentence_emb and image_emb have size [batch, depth].
scores = tf.matmul(image_emb, tf.transpose(sentence_emb)) # [batch, batch]
diagonal = tf.diag_part(scores) # [batch]
cost_s = tf.maximum(0.0, margin - diagonal + scores) # [batch, batch]
cost_im = tf.maximum(
0.0, margin - tf.reshape(diagonal, [-1, 1]) + scores) # [batch, batch]
# Clear diagonals.
batch_size = tf.shape(sentence_emb)[0]
empty_diagonal_mat = tf.ones_like(cost_s) - tf.eye(batch_size)
cost_s *= empty_diagonal_mat
cost_im *= empty_diagonal_mat
return tf.reduce_mean(cost_s) + tf.reduce_mean(cost_im)
|
python
|
def rank_loss(sentence_emb, image_emb, margin=0.2):
"""Experimental rank loss, thanks to kkurach@ for the code."""
with tf.name_scope("rank_loss"):
# Normalize first as this is assumed in cosine similarity later.
sentence_emb = tf.nn.l2_normalize(sentence_emb, 1)
image_emb = tf.nn.l2_normalize(image_emb, 1)
# Both sentence_emb and image_emb have size [batch, depth].
scores = tf.matmul(image_emb, tf.transpose(sentence_emb)) # [batch, batch]
diagonal = tf.diag_part(scores) # [batch]
cost_s = tf.maximum(0.0, margin - diagonal + scores) # [batch, batch]
cost_im = tf.maximum(
0.0, margin - tf.reshape(diagonal, [-1, 1]) + scores) # [batch, batch]
# Clear diagonals.
batch_size = tf.shape(sentence_emb)[0]
empty_diagonal_mat = tf.ones_like(cost_s) - tf.eye(batch_size)
cost_s *= empty_diagonal_mat
cost_im *= empty_diagonal_mat
return tf.reduce_mean(cost_s) + tf.reduce_mean(cost_im)
|
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] |
Experimental rank loss, thanks to kkurach@ for the code.
|
[
"Experimental",
"rank",
"loss",
"thanks",
"to",
"kkurach"
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/slicenet.py#L145-L162
|
train
|
Experimental rank loss.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + chr(1023 - 974) + chr(2447 - 2395) + '\065', 54304 - 54296), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1503 - 1453) + chr(0b101 + 0o56) + '\x31', 16460 - 16452), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\062' + chr(0b111 + 0o53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b110111) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1945 - 1897) + chr(0b10110 + 0o131) + chr(0b110011) + '\x31' + '\063', 0b1000), ehT0Px3KOsy9(chr(1092 - 1044) + chr(111) + chr(1781 - 1732) + chr(0b110110) + chr(0b10010 + 0o45), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + '\060', 6897 - 6889), ehT0Px3KOsy9(chr(1352 - 1304) + chr(5042 - 4931) + chr(0b101100 + 0o6) + chr(0b10100 + 0o41) + '\062', 7408 - 7400), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\062' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2268 - 2218) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(256 - 208) + chr(111) + '\063' + '\064' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101110 + 0o3) + '\x35' + chr(50), 17090 - 17082), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\x31' + chr(1751 - 1700), ord("\x08")), ehT0Px3KOsy9(chr(1170 - 1122) + '\x6f' + chr(1173 - 1123) + chr(2062 - 2007) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(6098 - 5987) + chr(2159 - 2108) + '\x32' + chr(48), 36918 - 36910), ehT0Px3KOsy9('\x30' + '\x6f' + chr(55) + chr(53), 0o10), ehT0Px3KOsy9(chr(1380 - 1332) + chr(0b1101101 + 0o2) + chr(51) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b10001 + 0o42) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(0b110001 + 0o1) + '\062' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + chr(0b100000 + 0o21) + '\x33' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(51) + '\x34' + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1011110 + 0o21) + '\062' + '\062' + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(10966 - 10855) + chr(0b110100 + 0o3) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(431 - 379) + chr(949 - 900), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11238 - 11127) + '\x32' + chr(1152 - 1104) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(2932 - 2821) + '\063' + chr(48) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b110101) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(52), 7638 - 7630), ehT0Px3KOsy9('\x30' + chr(7908 - 7797) + chr(0b110110) + chr(0b100001 + 0o17), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4456 - 4345) + chr(0b110010) + chr(0b110110) + '\065', 12750 - 12742), ehT0Px3KOsy9(chr(1660 - 1612) + '\157' + chr(51) + chr(0b100110 + 0o13) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7653 - 7542) + chr(0b100101 + 0o15) + '\x33' + chr(48), 33392 - 33384), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(9561 - 9450) + chr(51) + '\x34' + chr(0b101111 + 0o1), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110101) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\066' + chr(0b1110 + 0o46), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1008 - 957) + chr(55) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(362 - 314) + chr(0b1101111) + '\061' + chr(0b110100) + chr(1676 - 1628), 0o10), ehT0Px3KOsy9(chr(1921 - 1873) + chr(111) + '\066' + chr(0b110101), 43425 - 43417)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(1624 - 1571) + chr(0b1100 + 0o44), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'K'), chr(100) + chr(6600 - 6499) + '\143' + chr(0b1011011 + 0o24) + '\x64' + chr(1534 - 1433))(chr(0b11100 + 0o131) + chr(0b1100001 + 0o23) + '\146' + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def QB9z2aiLyq5Z(JPSe3CwZf_Qh, W6LSIggCIIdl, LamJqD0qqhTX=0.2):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\xf8?\x19\x94\x04K\xc5\xa2p'), chr(0b1100100) + '\145' + '\x63' + chr(10757 - 10646) + chr(0b1100100) + chr(0b1010001 + 0o24))(chr(0b1000001 + 0o64) + chr(0b1110100) + chr(0b100111 + 0o77) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xf8<\x17\x94\x1bG\xd9\xa1'), chr(7659 - 7559) + chr(0b1100001 + 0o4) + chr(0b1100011) + chr(0b1000110 + 0o51) + '\x64' + '\145')('\165' + chr(116) + '\x66' + chr(45) + chr(0b110101 + 0o3))):
JPSe3CwZf_Qh = IDJ2eXGCBCDu.nn.l2_normalize(JPSe3CwZf_Qh, ehT0Px3KOsy9('\060' + chr(111) + chr(2188 - 2139), ord("\x08")))
W6LSIggCIIdl = IDJ2eXGCBCDu.nn.l2_normalize(W6LSIggCIIdl, ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001), 8))
b8rpGniBNUPr = IDJ2eXGCBCDu.matmul(W6LSIggCIIdl, IDJ2eXGCBCDu.transpose(JPSe3CwZf_Qh))
VK5fDZHzOMAH = IDJ2eXGCBCDu.diag_part(b8rpGniBNUPr)
QlH_MiWlrHJD = IDJ2eXGCBCDu.maximum(0.0, LamJqD0qqhTX - VK5fDZHzOMAH + b8rpGniBNUPr)
Q6FiNITJhAOI = IDJ2eXGCBCDu.maximum(0.0, LamJqD0qqhTX - IDJ2eXGCBCDu.reshape(VK5fDZHzOMAH, [-ehT0Px3KOsy9(chr(1359 - 1311) + '\x6f' + chr(0b11010 + 0o27), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(49), 8)]) + b8rpGniBNUPr)
ix9dZyeAmUxY = IDJ2eXGCBCDu.nauYfLglTpcb(JPSe3CwZf_Qh)[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 0b1000)]
qEzhZ1Hz_yVd = IDJ2eXGCBCDu.ones_like(QlH_MiWlrHJD) - IDJ2eXGCBCDu.eye(ix9dZyeAmUxY)
QlH_MiWlrHJD *= qEzhZ1Hz_yVd
Q6FiNITJhAOI *= qEzhZ1Hz_yVd
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xfc6\t\xa8\x12w\xc7\xb7t\x8b'), chr(0b101111 + 0o65) + '\145' + '\143' + chr(0b1011110 + 0o21) + chr(0b1011011 + 0o11) + '\145')(chr(117) + chr(116) + '\x66' + chr(1319 - 1274) + '\070'))(QlH_MiWlrHJD) + xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xfc6\t\xa8\x12w\xc7\xb7t\x8b'), chr(100) + chr(0b101 + 0o140) + chr(99) + '\157' + chr(0b1001 + 0o133) + chr(7859 - 7758))(chr(0b1110101) + '\x74' + chr(102) + chr(45) + chr(0b111000)))(Q6FiNITJhAOI)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/slicenet.py
|
similarity_cost
|
def similarity_cost(inputs_encoded, targets_encoded):
"""Loss telling to be more similar to your own targets than to others."""
# This is a first very simple version: handle variable-length by padding
# to same length and putting everything into batch. In need of a better way.
x, y = common_layers.pad_to_same_length(inputs_encoded, targets_encoded)
depth = tf.shape(inputs_encoded)[3]
x, y = tf.reshape(x, [-1, depth]), tf.reshape(y, [-1, depth])
return rank_loss(x, y)
|
python
|
def similarity_cost(inputs_encoded, targets_encoded):
"""Loss telling to be more similar to your own targets than to others."""
# This is a first very simple version: handle variable-length by padding
# to same length and putting everything into batch. In need of a better way.
x, y = common_layers.pad_to_same_length(inputs_encoded, targets_encoded)
depth = tf.shape(inputs_encoded)[3]
x, y = tf.reshape(x, [-1, depth]), tf.reshape(y, [-1, depth])
return rank_loss(x, y)
|
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Loss telling to be more similar to your own targets than to others.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/slicenet.py#L165-L172
|
train
|
Loss telling to be more similar to your own targets than to others.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(1876 - 1826) + chr(49) + chr(54), 47076 - 47068), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1001 + 0o50) + '\067' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(50) + chr(0b10101 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(1042 - 987) + chr(0b101001 + 0o13), 8), ehT0Px3KOsy9(chr(1852 - 1804) + chr(0b1101111) + chr(0b11110 + 0o24) + chr(54) + chr(646 - 594), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b0 + 0o61) + chr(0b11 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(874 - 822) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\x31' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1840 - 1789) + chr(2470 - 2417) + chr(2203 - 2153), 51692 - 51684), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\062' + '\065', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1415 - 1366) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\065' + chr(435 - 382), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1001101 + 0o42) + '\x31' + '\066' + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(49) + chr(518 - 465) + chr(0b0 + 0o61), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10102 - 9991) + chr(52) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(10269 - 10158) + chr(0b110010) + '\064' + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\061' + '\x32', 16285 - 16277), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(1448 - 1397) + chr(0b101000 + 0o15), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\x34' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(102 - 53) + chr(0b101 + 0o57), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(2038 - 1988) + chr(0b1101 + 0o46), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110100) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1186 - 1138) + chr(1002 - 891) + chr(52) + chr(0b101000 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(1864 - 1811) + '\x35', 8), ehT0Px3KOsy9(chr(451 - 403) + chr(723 - 612) + chr(512 - 463) + chr(0b110110) + chr(822 - 772), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101000 + 0o11) + '\067' + chr(0b1000 + 0o57), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b0 + 0o60) + chr(0b100110 + 0o13), 48457 - 48449), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1111 + 0o46) + '\062', 0b1000), ehT0Px3KOsy9(chr(1733 - 1685) + chr(5478 - 5367) + '\x35' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + '\063' + '\x37' + '\x36', 25924 - 25916), ehT0Px3KOsy9('\x30' + chr(10620 - 10509) + chr(0b1010 + 0o47) + chr(379 - 327) + chr(2381 - 2331), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2108 - 2057) + chr(1550 - 1502) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b101110 + 0o7) + chr(0b100110 + 0o21), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x35', 13119 - 13111), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(11496 - 11385) + chr(0b100101 + 0o15) + '\x33' + '\064', 0o10), ehT0Px3KOsy9(chr(1503 - 1455) + chr(0b1011000 + 0o27) + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(55) + chr(0b1101 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100011 + 0o20) + chr(48) + '\x32', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(0b10011 + 0o42) + chr(0b1001 + 0o47), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0'), chr(0b10101 + 0o117) + chr(0b1001100 + 0o31) + '\143' + chr(333 - 222) + chr(100) + chr(0b1100101))(chr(0b101100 + 0o111) + chr(0b1001 + 0o153) + chr(0b1100110) + chr(1001 - 956) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jmpGaoDEh3XC(_XjxEMV9zr2K, w4IDA1IljQOD):
(OeWW0F1dBPRQ, SqiSOtYOqOJH) = jSKPaHwSAfVv.pad_to_same_length(_XjxEMV9zr2K, w4IDA1IljQOD)
UEys4_lSwsID = IDJ2eXGCBCDu.nauYfLglTpcb(_XjxEMV9zr2K)[ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(51), 0b1000)]
(OeWW0F1dBPRQ, SqiSOtYOqOJH) = (IDJ2eXGCBCDu.reshape(OeWW0F1dBPRQ, [-ehT0Px3KOsy9('\x30' + '\157' + chr(49), 8), UEys4_lSwsID]), IDJ2eXGCBCDu.reshape(SqiSOtYOqOJH, [-ehT0Px3KOsy9('\x30' + '\157' + chr(0b100 + 0o55), 8), UEys4_lSwsID]))
return QB9z2aiLyq5Z(OeWW0F1dBPRQ, SqiSOtYOqOJH)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/slicenet.py
|
slicenet_middle
|
def slicenet_middle(inputs_encoded, targets, target_space_emb, mask, hparams):
"""Middle part of slicenet, connecting encoder and decoder."""
def norm_fn(x, name):
with tf.variable_scope(name, default_name="norm"):
return common_layers.apply_norm(x, hparams.norm_type, hparams.hidden_size,
hparams.norm_epsilon)
# Flatten targets and embed target_space_id.
targets_flat = tf.expand_dims(common_layers.flatten4d3d(targets), axis=2)
target_space_emb = tf.tile(target_space_emb,
[tf.shape(targets_flat)[0], 1, 1, 1])
# Use attention from each target to look at input and retrieve.
targets_shifted = common_layers.shift_right(
targets_flat, pad_value=target_space_emb)
if hparams.attention_type == "none":
targets_with_attention = tf.zeros_like(targets_shifted)
else:
inputs_padding_bias = (1.0 - mask) * -1e9 # Bias to not attend to padding.
targets_with_attention = attention(
targets_shifted,
inputs_encoded,
norm_fn,
hparams,
bias=inputs_padding_bias)
# Positional targets: merge attention and raw.
kernel = (hparams.kernel_height, hparams.kernel_width)
targets_merged = common_layers.subseparable_conv_block(
tf.concat([targets_with_attention, targets_shifted], axis=3),
hparams.hidden_size, [((1, 1), kernel)],
normalizer_fn=norm_fn,
padding="LEFT",
separability=4,
name="targets_merge")
return targets_merged, 0.0
|
python
|
def slicenet_middle(inputs_encoded, targets, target_space_emb, mask, hparams):
"""Middle part of slicenet, connecting encoder and decoder."""
def norm_fn(x, name):
with tf.variable_scope(name, default_name="norm"):
return common_layers.apply_norm(x, hparams.norm_type, hparams.hidden_size,
hparams.norm_epsilon)
# Flatten targets and embed target_space_id.
targets_flat = tf.expand_dims(common_layers.flatten4d3d(targets), axis=2)
target_space_emb = tf.tile(target_space_emb,
[tf.shape(targets_flat)[0], 1, 1, 1])
# Use attention from each target to look at input and retrieve.
targets_shifted = common_layers.shift_right(
targets_flat, pad_value=target_space_emb)
if hparams.attention_type == "none":
targets_with_attention = tf.zeros_like(targets_shifted)
else:
inputs_padding_bias = (1.0 - mask) * -1e9 # Bias to not attend to padding.
targets_with_attention = attention(
targets_shifted,
inputs_encoded,
norm_fn,
hparams,
bias=inputs_padding_bias)
# Positional targets: merge attention and raw.
kernel = (hparams.kernel_height, hparams.kernel_width)
targets_merged = common_layers.subseparable_conv_block(
tf.concat([targets_with_attention, targets_shifted], axis=3),
hparams.hidden_size, [((1, 1), kernel)],
normalizer_fn=norm_fn,
padding="LEFT",
separability=4,
name="targets_merge")
return targets_merged, 0.0
|
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] |
Middle part of slicenet, connecting encoder and decoder.
|
[
"Middle",
"part",
"of",
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"connecting",
"encoder",
"and",
"decoder",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/slicenet.py#L175-L212
|
train
|
Middle part of slicenet connecting encoder and decoder.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(10013 - 9902) + chr(0b1000 + 0o53) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(11532 - 11421) + '\062' + '\065' + chr(796 - 747), 4722 - 4714), ehT0Px3KOsy9(chr(2266 - 2218) + '\x6f' + chr(50) + chr(2501 - 2446) + chr(0b101 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7170 - 7059) + chr(49) + '\064' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + '\x32' + chr(54) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5792 - 5681) + chr(50) + chr(2271 - 2217) + '\062', 48643 - 48635), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(50) + '\x33', 8550 - 8542), ehT0Px3KOsy9(chr(460 - 412) + chr(0b111111 + 0o60) + chr(0b10110 + 0o35) + chr(0b101001 + 0o10) + chr(1604 - 1555), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + chr(50) + chr(0b110011) + chr(675 - 622), 55462 - 55454), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11111 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b110110 + 0o71) + chr(0b11100 + 0o27) + chr(49) + chr(0b101110 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(51) + chr(0b11 + 0o55) + '\066', 16386 - 16378), ehT0Px3KOsy9(chr(48) + chr(0b1011001 + 0o26) + chr(0b110101) + chr(2053 - 1998), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(2516 - 2461) + chr(0b101110 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(12196 - 12085) + chr(1999 - 1945) + '\065', 5837 - 5829), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2373 - 2321) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b11000 + 0o32) + '\x33' + '\063', 20993 - 20985), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100000 + 0o23) + chr(2303 - 2249) + chr(1555 - 1507), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(53) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(48) + chr(246 - 195), 32829 - 32821), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110111) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\060' + chr(1333 - 1278), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000 + 0o2) + chr(49) + '\060', 24525 - 24517), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b10 + 0o60) + chr(0b110100), 31897 - 31889), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\060' + chr(2111 - 2058), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5778 - 5667) + chr(0b110100 + 0o1) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(9746 - 9635) + '\x33' + '\062' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1929 - 1878), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\061' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110111) + chr(0b110100), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(2016 - 1966) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(992 - 944) + chr(0b1101111) + chr(51) + chr(0b101 + 0o55) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1 + 0o61) + '\x31' + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101000 + 0o7) + chr(0b110010) + chr(53) + chr(1141 - 1091), 61235 - 61227), ehT0Px3KOsy9(chr(1903 - 1855) + chr(10403 - 10292) + chr(0b101 + 0o54) + chr(50) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + '\x33' + chr(0b110101) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b101 + 0o56) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\x36' + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + chr(7069 - 6958) + chr(0b110111), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + chr(0b1000 + 0o50), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'0'), '\x64' + chr(7109 - 7008) + '\x63' + '\x6f' + chr(100) + chr(0b1010111 + 0o16))(chr(117) + '\x74' + chr(0b1100110) + chr(0b110 + 0o47) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def BgHuHsjHiGps(_XjxEMV9zr2K, xIEmRseySp3z, hs8WSYSr7hmk, Iz1jSgUKZDvt, n4ljua2gi1Pr):
def ikGWzUpjFUX8(OeWW0F1dBPRQ, AIvJRzLdDfgF):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'h\xc8\xc8\x0c\xd2\xd0\xbf\xac\xc2p\xa9\xa9_\xdc'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + '\164' + '\146' + '\055' + '\x38'))(AIvJRzLdDfgF, default_name=xafqLlk3kkUe(SXOLrMavuUCe(b'p\xc6\xc8\x08'), chr(100) + chr(2336 - 2235) + chr(0b1100011) + chr(10633 - 10522) + chr(0b101110 + 0o66) + '\x65')(chr(12627 - 12510) + '\x74' + chr(0b11101 + 0o111) + '\055' + chr(2685 - 2629))):
return xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\xd9\xca\t\xca\xed\xbd\xa6\xefn'), chr(895 - 795) + chr(0b1010011 + 0o22) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\x74' + '\146' + '\055' + chr(0b111000)))(OeWW0F1dBPRQ, xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'R\xec\x8f#\xc6\x84\x87\xaa\xf14\xa4\xb1'), '\144' + chr(101) + chr(99) + '\x6f' + chr(2138 - 2038) + chr(0b10111 + 0o116))(chr(0b1000101 + 0o60) + chr(116) + chr(102) + '\055' + chr(56))), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'o\xd3\xd5\x1c\xeb\xfc\xe0\xa2\xf9k\x8e\x8a'), chr(0b111000 + 0o54) + chr(1650 - 1549) + chr(0b10111 + 0o114) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(7354 - 7252) + chr(45) + chr(1934 - 1878))), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x9a\xe8\x16\x81\x83\x94\xb9\xe7m\xf9\xb1'), chr(0b100100 + 0o100) + chr(3652 - 3551) + '\143' + chr(5552 - 5441) + chr(1294 - 1194) + chr(101))(chr(0b1101100 + 0o11) + chr(0b1110100) + '\x66' + chr(45) + '\x38')))
GZZkKiWA4Xli = IDJ2eXGCBCDu.expand_dims(jSKPaHwSAfVv.flatten4d3d(xIEmRseySp3z), axis=ehT0Px3KOsy9(chr(2010 - 1962) + chr(0b110 + 0o151) + chr(0b110010), 0b1000))
hs8WSYSr7hmk = IDJ2eXGCBCDu.tile(hs8WSYSr7hmk, [IDJ2eXGCBCDu.nauYfLglTpcb(GZZkKiWA4Xli)[ehT0Px3KOsy9('\060' + chr(111) + chr(48), ord("\x08"))], ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + chr(0b100001 + 0o20), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\061', 8)])
gMjpgbd8teWf = jSKPaHwSAfVv.shift_right(GZZkKiWA4Xli, pad_value=hs8WSYSr7hmk)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'r\xf3\x8b"\xf1\x86\x9f\xfb\xf2N\xaf\x81'), chr(0b1100100) + chr(101) + '\x63' + chr(4648 - 4537) + '\144' + chr(101))('\x75' + chr(116) + chr(8976 - 8874) + '\055' + chr(0b110101 + 0o3))) == xafqLlk3kkUe(SXOLrMavuUCe(b'p\xc6\xd4\x00'), chr(100) + '\145' + '\x63' + chr(0b1100100 + 0o13) + '\144' + '\145')(chr(117) + chr(0b1110100) + chr(0b1110 + 0o130) + chr(45) + '\070'):
lHgEAVZxaply = IDJ2eXGCBCDu.zeros_like(gMjpgbd8teWf)
else:
iiSTlqQF6aB2 = (1.0 - Iz1jSgUKZDvt) * -1000000000.0
lHgEAVZxaply = iJflGWIA0tgf(gMjpgbd8teWf, _XjxEMV9zr2K, ikGWzUpjFUX8, n4ljua2gi1Pr, bias=iiSTlqQF6aB2)
iaILEoszmqXb = (n4ljua2gi1Pr.aWtpZRO3JbHj, n4ljua2gi1Pr.xCDNMTg51zI4)
wehrKYW1YWoT = jSKPaHwSAfVv.subseparable_conv_block(IDJ2eXGCBCDu.concat([lHgEAVZxaply, gMjpgbd8teWf], axis=ehT0Px3KOsy9(chr(540 - 492) + chr(0b100000 + 0o117) + chr(2303 - 2252), 8)), n4ljua2gi1Pr.qzoyXN3kdhDL, [((ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(845 - 796), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1883 - 1834), 8)), iaILEoszmqXb)], normalizer_fn=ikGWzUpjFUX8, padding=xafqLlk3kkUe(SXOLrMavuUCe(b'R\xec\xfc1'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(111) + '\x64' + chr(0b1100101))('\x75' + chr(12272 - 12156) + chr(0b1100110) + chr(0b1001 + 0o44) + chr(56)), separability=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(52), 33593 - 33585), name=xafqLlk3kkUe(SXOLrMavuUCe(b'j\xc8\xc8\x02\xd6\xc6\xa0\x96\xf0f\xb8\xa1J'), chr(2699 - 2599) + '\x65' + chr(99) + '\157' + chr(100) + chr(0b1100101))('\165' + chr(116) + '\146' + chr(1870 - 1825) + chr(2432 - 2376)))
return (wehrKYW1YWoT, 0.0)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/slicenet.py
|
embedding_to_padding
|
def embedding_to_padding(emb):
"""Input embeddings -> is_padding."""
emb_sum = tf.reduce_sum(tf.abs(emb), axis=-1, keep_dims=True)
return tf.to_float(tf.equal(emb_sum, 0.0))
|
python
|
def embedding_to_padding(emb):
"""Input embeddings -> is_padding."""
emb_sum = tf.reduce_sum(tf.abs(emb), axis=-1, keep_dims=True)
return tf.to_float(tf.equal(emb_sum, 0.0))
|
[
"def",
"embedding_to_padding",
"(",
"emb",
")",
":",
"emb_sum",
"=",
"tf",
".",
"reduce_sum",
"(",
"tf",
".",
"abs",
"(",
"emb",
")",
",",
"axis",
"=",
"-",
"1",
",",
"keep_dims",
"=",
"True",
")",
"return",
"tf",
".",
"to_float",
"(",
"tf",
".",
"equal",
"(",
"emb_sum",
",",
"0.0",
")",
")"
] |
Input embeddings -> is_padding.
|
[
"Input",
"embeddings",
"-",
">",
"is_padding",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/slicenet.py#L221-L224
|
train
|
Input embeddings -> is_padding.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b110010) + chr(1995 - 1944) + '\063', 0o10), ehT0Px3KOsy9(chr(2071 - 2023) + chr(215 - 104) + chr(0b101101 + 0o5) + '\064' + chr(0b100111 + 0o16), 58689 - 58681), ehT0Px3KOsy9(chr(1501 - 1453) + chr(0b1101111) + chr(0b110001) + '\060' + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101100 + 0o6) + '\x37' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3087 - 2976) + chr(49) + '\x33' + chr(0b10111 + 0o40), 23031 - 23023), ehT0Px3KOsy9(chr(2304 - 2256) + '\157' + chr(1297 - 1247) + chr(48) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(1951 - 1902) + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b110111) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(1744 - 1633) + chr(758 - 709) + '\x35' + '\061', 52755 - 52747), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2433 - 2381) + chr(2475 - 2425), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b11111 + 0o25) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(771 - 660) + '\x33' + chr(0b110001) + chr(0b10001 + 0o44), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\064' + chr(836 - 784), 1789 - 1781), ehT0Px3KOsy9('\x30' + chr(0b1000110 + 0o51) + chr(0b11 + 0o60) + chr(0b110001) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b110001) + chr(53), 7123 - 7115), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(766 - 718) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100011 + 0o114) + '\x33' + chr(0b10011 + 0o37) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\067' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\062' + '\x33' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101011 + 0o6) + '\060' + '\064', 0b1000), ehT0Px3KOsy9(chr(508 - 460) + chr(0b1001010 + 0o45) + chr(2266 - 2217) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(6135 - 6024) + '\062' + '\064' + '\x33', 41758 - 41750), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32', 0o10), ehT0Px3KOsy9(chr(538 - 490) + chr(5347 - 5236) + chr(0b100010 + 0o24) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(9201 - 9090) + chr(0b10010 + 0o41) + '\x31' + '\x30', 32848 - 32840), ehT0Px3KOsy9('\060' + '\157' + chr(90 - 40) + chr(53) + chr(0b110001), 14379 - 14371), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(1301 - 1248) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1571 - 1523) + chr(0b1101111) + '\x32' + '\x31' + chr(155 - 105), 42065 - 42057), ehT0Px3KOsy9('\060' + chr(159 - 48) + '\063' + '\061' + '\065', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(2292 - 2243) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b100010 + 0o17) + chr(208 - 157), 36978 - 36970), ehT0Px3KOsy9(chr(1183 - 1135) + '\x6f' + chr(0b110011) + chr(49) + chr(0b101110 + 0o2), 8), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(50) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10321 - 10210) + '\x33' + '\x35' + chr(0b11101 + 0o24), 0o10), ehT0Px3KOsy9('\060' + chr(5343 - 5232) + chr(1676 - 1627) + chr(53) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(5986 - 5875) + '\x31' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(2185 - 2135) + chr(0b10101 + 0o40) + chr(0b110001 + 0o1), 0b1000), ehT0Px3KOsy9('\x30' + chr(9893 - 9782) + chr(1381 - 1330) + chr(0b101000 + 0o15) + chr(0b11110 + 0o22), 8), ehT0Px3KOsy9(chr(617 - 569) + chr(3251 - 3140) + chr(49) + '\x36' + '\065', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(177 - 129) + 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'\xb5'), chr(0b11111 + 0o105) + chr(4235 - 4134) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b110010 + 0o63))(chr(13682 - 13565) + '\x74' + chr(102) + chr(0b111 + 0o46) + chr(2479 - 2423)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def lEmlcaZ38yib(Jm7YCQYx8Wnq):
Lh6MbD3qw7xn = IDJ2eXGCBCDu.reduce_sum(IDJ2eXGCBCDu.abs(Jm7YCQYx8Wnq), axis=-ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1100 + 0o45), 27476 - 27468), keep_dims=ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1001111 + 0o40) + chr(0b110001), 8))
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\xf0\x0b\x8a4\xc9KAmQw\x11'), chr(100) + chr(0b1001011 + 0o32) + chr(0b1010110 + 0o15) + chr(3269 - 3158) + chr(0b11111 + 0o105) + chr(0b1010000 + 0o25))(chr(117) + chr(0b1110100) + '\x66' + chr(45) + chr(3048 - 2992)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe\xd42\xd83'), chr(0b1010100 + 0o20) + chr(0b1100101) + chr(0b11011 + 0o110) + '\x6f' + chr(5024 - 4924) + chr(0b1110 + 0o127))(chr(0b1001010 + 0o53) + chr(0b1110100) + chr(0b1100110) + '\055' + '\x38'))(Lh6MbD3qw7xn, 0.0))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/slicenet.py
|
slicenet_internal
|
def slicenet_internal(inputs, targets, target_space, hparams, run_decoder=True):
"""The slicenet model, main step used for training."""
with tf.variable_scope("slicenet"):
# Project to hidden size if necessary
if inputs.get_shape().as_list()[-1] != hparams.hidden_size:
inputs = common_layers.conv_block(
inputs,
hparams.hidden_size, [((1, 1), (3, 3))],
first_relu=False,
padding="SAME",
force2d=True)
# Flatten inputs and encode.
inputs = tf.expand_dims(common_layers.flatten4d3d(inputs), axis=2)
inputs_mask = 1.0 - embedding_to_padding(inputs)
inputs = common_layers.add_timing_signal(inputs) # Add position info.
target_space_emb = embed_target_space(target_space, hparams.hidden_size)
extra_layers = int(hparams.num_hidden_layers * 1.5)
inputs_encoded = multi_conv_res(
inputs, "SAME", "encoder", extra_layers, hparams, mask=inputs_mask)
if not run_decoder:
return inputs_encoded
# Do the middle part.
decoder_start, similarity_loss = slicenet_middle(
inputs_encoded, targets, target_space_emb, inputs_mask, hparams)
# Decode.
decoder_final = multi_conv_res(
decoder_start,
"LEFT",
"decoder",
hparams.num_hidden_layers,
hparams,
mask=inputs_mask,
source=inputs_encoded)
return decoder_final, tf.reduce_mean(similarity_loss)
|
python
|
def slicenet_internal(inputs, targets, target_space, hparams, run_decoder=True):
"""The slicenet model, main step used for training."""
with tf.variable_scope("slicenet"):
# Project to hidden size if necessary
if inputs.get_shape().as_list()[-1] != hparams.hidden_size:
inputs = common_layers.conv_block(
inputs,
hparams.hidden_size, [((1, 1), (3, 3))],
first_relu=False,
padding="SAME",
force2d=True)
# Flatten inputs and encode.
inputs = tf.expand_dims(common_layers.flatten4d3d(inputs), axis=2)
inputs_mask = 1.0 - embedding_to_padding(inputs)
inputs = common_layers.add_timing_signal(inputs) # Add position info.
target_space_emb = embed_target_space(target_space, hparams.hidden_size)
extra_layers = int(hparams.num_hidden_layers * 1.5)
inputs_encoded = multi_conv_res(
inputs, "SAME", "encoder", extra_layers, hparams, mask=inputs_mask)
if not run_decoder:
return inputs_encoded
# Do the middle part.
decoder_start, similarity_loss = slicenet_middle(
inputs_encoded, targets, target_space_emb, inputs_mask, hparams)
# Decode.
decoder_final = multi_conv_res(
decoder_start,
"LEFT",
"decoder",
hparams.num_hidden_layers,
hparams,
mask=inputs_mask,
source=inputs_encoded)
return decoder_final, tf.reduce_mean(similarity_loss)
|
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] |
The slicenet model, main step used for training.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/slicenet.py#L227-L261
|
train
|
The slicenet model main step used for training.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1217 - 1169) + chr(0b1101111) + chr(0b101101 + 0o5) + '\063' + '\064', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b100011 + 0o21) + chr(0b10 + 0o61), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b110101) + chr(49), 52304 - 52296), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(1983 - 1934) + chr(50) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(51) + chr(2095 - 2047) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1599 - 1551) + chr(0b1101111) + chr(49) + '\065' + chr(48 - 0), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b110101) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + '\x33' + chr(0b11 + 0o63) + '\x35', 32325 - 32317), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b100110 + 0o14) + chr(0b11000 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(1048 - 1000) + chr(5013 - 4902) + chr(0b100110 + 0o15) + '\066' + '\060', 50602 - 50594), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100011 + 0o17) + '\062' + chr(1265 - 1216), 5034 - 5026), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(733 - 682) + chr(0b110101), 18401 - 18393), ehT0Px3KOsy9(chr(48) + chr(8879 - 8768) + '\061' + chr(0b110001) + '\066', 64637 - 64629), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110101) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101001 + 0o16) + chr(811 - 763), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\061' + chr(594 - 545) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1010 + 0o51) + chr(48) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\x37' + chr(53), 36205 - 36197), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110101) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\x32' + '\x30' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1229 - 1181) + '\x6f' + chr(0b110011) + chr(0b110111) + chr(950 - 897), 8), ehT0Px3KOsy9('\x30' + chr(2961 - 2850) + '\x34' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5648 - 5537) + '\x31' + chr(54) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(7457 - 7346) + chr(50) + chr(0b1 + 0o60) + chr(0b110100), 57225 - 57217), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(55) + chr(1364 - 1315), 20758 - 20750), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100111 + 0o13) + chr(0b110101), 42606 - 42598), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\062' + '\x31' + chr(1546 - 1498), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + '\x32' + chr(0b101001 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(454 - 406) + chr(0b1101111) + chr(0b110001) + chr(594 - 546) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(6404 - 6293) + chr(1665 - 1616) + chr(0b110111) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(1644 - 1595) + chr(51) + chr(48), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b10001 + 0o43) + chr(55), 18451 - 18443), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(51) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b10010 + 0o44) + chr(0b101110 + 0o5), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10001 + 0o41) + chr(0b110100) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7681 - 7570) + chr(0b101110 + 0o11) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(50) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2060 - 2009) + chr(1576 - 1522) + '\060', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101111) + '\144' + chr(101))(chr(8761 - 8644) + chr(116) + chr(0b11111 + 0o107) + chr(0b101101) + chr(637 - 581)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def L7lt1oW67uG2(vXoupepMtCXU, xIEmRseySp3z, uFIGUtii6RGG, n4ljua2gi1Pr, zJ2s4AonqoZm=ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061', 0b1000)):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\x82\x1b<\xa1\n\xc7\x90\x8a\x83f\xfe-+'), chr(100) + '\145' + '\x63' + '\x6f' + '\144' + chr(101))(chr(11464 - 11347) + '\x74' + '\146' + chr(0b101101 + 0o0) + chr(0b100100 + 0o24)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\x8f\x006\xa5\x06\xce\x81'), '\x64' + chr(1831 - 1730) + '\143' + '\x6f' + '\144' + '\x65')(chr(117) + chr(0b1110100) + '\x66' + chr(0b1110 + 0o37) + chr(901 - 845))):
if xafqLlk3kkUe(vXoupepMtCXU.get_shape(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd\x9069\xa9\x1b\xdf'), '\x64' + chr(6992 - 6891) + chr(99) + '\157' + chr(0b110100 + 0o60) + chr(101))(chr(117) + '\x74' + '\146' + chr(0b101101) + '\070'))()[-ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001), 8)] != xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\x99\x06,\x98&\x98\x9e\xb1\x98A\xdd'), '\144' + chr(9681 - 9580) + '\143' + '\x6f' + chr(0b1100100) + '\x65')(chr(12380 - 12263) + chr(0b1010101 + 0o37) + chr(4519 - 4417) + chr(0b101101) + chr(0b111000))):
vXoupepMtCXU = jSKPaHwSAfVv.conv_block(vXoupepMtCXU, n4ljua2gi1Pr.qzoyXN3kdhDL, [((ehT0Px3KOsy9(chr(48) + chr(6334 - 6223) + chr(2084 - 2035), 8), ehT0Px3KOsy9(chr(502 - 454) + chr(0b1101111) + chr(736 - 687), 8)), (ehT0Px3KOsy9(chr(1614 - 1566) + '\x6f' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(56 - 5), 8)))], first_relu=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000), 0o10), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\xa2$\x10'), chr(0b1011110 + 0o6) + '\x65' + '\x63' + '\x6f' + chr(0b1100100) + chr(922 - 821))(chr(0b111101 + 0o70) + chr(0b1110100) + chr(102) + chr(0b101001 + 0o4) + chr(56)), force2d=ehT0Px3KOsy9(chr(648 - 600) + chr(111) + chr(0b110001), 8))
vXoupepMtCXU = IDJ2eXGCBCDu.expand_dims(jSKPaHwSAfVv.flatten4d3d(vXoupepMtCXU), axis=ehT0Px3KOsy9(chr(527 - 479) + '\157' + chr(50), 0b1000))
QnxOvREoKmUU = 1.0 - lEmlcaZ38yib(vXoupepMtCXU)
vXoupepMtCXU = jSKPaHwSAfVv.add_timing_signal(vXoupepMtCXU)
hs8WSYSr7hmk = do8IaiEDKSel(uFIGUtii6RGG, n4ljua2gi1Pr.qzoyXN3kdhDL)
jEaPAQIaRCdl = ehT0Px3KOsy9(n4ljua2gi1Pr.jZh5_pLUoOoZ * 1.5)
_XjxEMV9zr2K = gFLJFopBTnDF(vXoupepMtCXU, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\xa2$\x10'), '\x64' + chr(3146 - 3045) + chr(0b1100011) + chr(0b1101111) + chr(0b1001101 + 0o27) + chr(0b11 + 0o142))(chr(0b1000101 + 0o60) + '\x74' + chr(10247 - 10145) + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\x8d\n:\xa4\r\xd9'), chr(0b11001 + 0o113) + '\145' + '\143' + '\x6f' + chr(0b1011011 + 0o11) + chr(5621 - 5520))('\165' + chr(116) + chr(4103 - 4001) + chr(45) + '\070'), jEaPAQIaRCdl, n4ljua2gi1Pr, mask=QnxOvREoKmUU)
if not zJ2s4AonqoZm:
return _XjxEMV9zr2K
(Ey0WQbk_26y1, azYZxbL1DLff) = BgHuHsjHiGps(_XjxEMV9zr2K, xIEmRseySp3z, hs8WSYSr7hmk, QnxOvREoKmUU, n4ljua2gi1Pr)
xYt0dkzUYlJw = gFLJFopBTnDF(Ey0WQbk_26y1, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\xa6/\x01'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(3815 - 3715) + '\x65')(chr(0b11 + 0o162) + chr(116) + '\146' + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x86\n:\xa4\r\xd9'), chr(100) + chr(5278 - 5177) + chr(0b1100011) + chr(0b1101111) + chr(1240 - 1140) + '\145')(chr(0b1110101) + chr(0b1101000 + 0o14) + '\x66' + '\055' + '\x38'), n4ljua2gi1Pr.jZh5_pLUoOoZ, n4ljua2gi1Pr, mask=QnxOvREoKmUU, source=_XjxEMV9zr2K)
return (xYt0dkzUYlJw, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x86\r \xa3\r\xf4\x98\xb0\x91k'), '\x64' + chr(0b110000 + 0o65) + '\x63' + chr(111) + chr(100) + '\145')('\x75' + '\164' + chr(102) + '\055' + chr(56)))(azYZxbL1DLff))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/slicenet.py
|
slicenet_params1
|
def slicenet_params1():
"""Set of hyperparameters."""
hparams = common_hparams.basic_params1()
hparams.batch_size = 1024
hparams.hidden_size = 768
hparams.dropout = 0.5
hparams.symbol_dropout = 0.2
hparams.label_smoothing = 0.1
hparams.clip_grad_norm = 2.0
hparams.num_hidden_layers = 4
hparams.kernel_height = 3
hparams.kernel_width = 1
hparams.norm_type = "layer"
hparams.learning_rate_decay_scheme = "exp"
hparams.learning_rate = 0.05
hparams.learning_rate_warmup_steps = 3000
hparams.initializer_gain = 1.0
hparams.weight_decay = 3.0
hparams.num_sampled_classes = 0
hparams.sampling_method = "argmax"
hparams.optimizer_adam_epsilon = 1e-6
hparams.optimizer_adam_beta1 = 0.85
hparams.optimizer_adam_beta2 = 0.997
hparams.add_hparam("large_kernel_size", 15) # New ones are added like this.
hparams.add_hparam("separability", -2)
# A dilation scheme, one of _DILATION_SCHEMES.
hparams.add_hparam("dilation_scheme", "1.1.1.1")
# A kernel scheme, one of _KERNEL_SCHEMES; overrides large_kernel_size.
hparams.add_hparam("kernel_scheme", "3.7.15.31")
hparams.add_hparam("audio_compression", 8)
# attention-related flags
hparams.add_hparam("attention_type", "simple")
hparams.add_hparam("num_heads", 8)
hparams.add_hparam("attention_key_channels", 0)
hparams.add_hparam("attention_value_channels", 0)
hparams.add_hparam("sim_loss_mult", 0.0) # Try 10.0 for experiments.
hparams.add_hparam("attention_dropout", 0.2)
hparams.shared_embedding_and_softmax_weights = True
return hparams
|
python
|
def slicenet_params1():
"""Set of hyperparameters."""
hparams = common_hparams.basic_params1()
hparams.batch_size = 1024
hparams.hidden_size = 768
hparams.dropout = 0.5
hparams.symbol_dropout = 0.2
hparams.label_smoothing = 0.1
hparams.clip_grad_norm = 2.0
hparams.num_hidden_layers = 4
hparams.kernel_height = 3
hparams.kernel_width = 1
hparams.norm_type = "layer"
hparams.learning_rate_decay_scheme = "exp"
hparams.learning_rate = 0.05
hparams.learning_rate_warmup_steps = 3000
hparams.initializer_gain = 1.0
hparams.weight_decay = 3.0
hparams.num_sampled_classes = 0
hparams.sampling_method = "argmax"
hparams.optimizer_adam_epsilon = 1e-6
hparams.optimizer_adam_beta1 = 0.85
hparams.optimizer_adam_beta2 = 0.997
hparams.add_hparam("large_kernel_size", 15) # New ones are added like this.
hparams.add_hparam("separability", -2)
# A dilation scheme, one of _DILATION_SCHEMES.
hparams.add_hparam("dilation_scheme", "1.1.1.1")
# A kernel scheme, one of _KERNEL_SCHEMES; overrides large_kernel_size.
hparams.add_hparam("kernel_scheme", "3.7.15.31")
hparams.add_hparam("audio_compression", 8)
# attention-related flags
hparams.add_hparam("attention_type", "simple")
hparams.add_hparam("num_heads", 8)
hparams.add_hparam("attention_key_channels", 0)
hparams.add_hparam("attention_value_channels", 0)
hparams.add_hparam("sim_loss_mult", 0.0) # Try 10.0 for experiments.
hparams.add_hparam("attention_dropout", 0.2)
hparams.shared_embedding_and_softmax_weights = True
return hparams
|
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".",
"learning_rate_decay_scheme",
"=",
"\"exp\"",
"hparams",
".",
"learning_rate",
"=",
"0.05",
"hparams",
".",
"learning_rate_warmup_steps",
"=",
"3000",
"hparams",
".",
"initializer_gain",
"=",
"1.0",
"hparams",
".",
"weight_decay",
"=",
"3.0",
"hparams",
".",
"num_sampled_classes",
"=",
"0",
"hparams",
".",
"sampling_method",
"=",
"\"argmax\"",
"hparams",
".",
"optimizer_adam_epsilon",
"=",
"1e-6",
"hparams",
".",
"optimizer_adam_beta1",
"=",
"0.85",
"hparams",
".",
"optimizer_adam_beta2",
"=",
"0.997",
"hparams",
".",
"add_hparam",
"(",
"\"large_kernel_size\"",
",",
"15",
")",
"# New ones are added like this.",
"hparams",
".",
"add_hparam",
"(",
"\"separability\"",
",",
"-",
"2",
")",
"# A dilation scheme, one of _DILATION_SCHEMES.",
"hparams",
".",
"add_hparam",
"(",
"\"dilation_scheme\"",
",",
"\"1.1.1.1\"",
")",
"# A kernel scheme, one of _KERNEL_SCHEMES; overrides large_kernel_size.",
"hparams",
".",
"add_hparam",
"(",
"\"kernel_scheme\"",
",",
"\"3.7.15.31\"",
")",
"hparams",
".",
"add_hparam",
"(",
"\"audio_compression\"",
",",
"8",
")",
"# attention-related flags",
"hparams",
".",
"add_hparam",
"(",
"\"attention_type\"",
",",
"\"simple\"",
")",
"hparams",
".",
"add_hparam",
"(",
"\"num_heads\"",
",",
"8",
")",
"hparams",
".",
"add_hparam",
"(",
"\"attention_key_channels\"",
",",
"0",
")",
"hparams",
".",
"add_hparam",
"(",
"\"attention_value_channels\"",
",",
"0",
")",
"hparams",
".",
"add_hparam",
"(",
"\"sim_loss_mult\"",
",",
"0.0",
")",
"# Try 10.0 for experiments.",
"hparams",
".",
"add_hparam",
"(",
"\"attention_dropout\"",
",",
"0.2",
")",
"hparams",
".",
"shared_embedding_and_softmax_weights",
"=",
"True",
"return",
"hparams"
] |
Set of hyperparameters.
|
[
"Set",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/slicenet.py#L296-L334
|
train
|
Set of hyperparameters.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\063' + '\x35' + chr(0b11011 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(50) + chr(49) + chr(2146 - 2097), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(5915 - 5804) + chr(50) + '\x30' + chr(0b101100 + 0o6), 46149 - 46141), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b110010) + chr(1353 - 1303), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111111 + 0o60) + chr(1883 - 1832) + '\060' + chr(2393 - 2342), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b110111) + chr(0b100000 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(554 - 506) + '\157' + '\063' + chr(2051 - 1999) + chr(1959 - 1908), 0o10), ehT0Px3KOsy9(chr(48) + chr(4497 - 4386) + chr(50) + chr(1784 - 1734) + '\067', 8365 - 8357), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011000 + 0o27) + chr(481 - 432) + chr(0b10001 + 0o43) + chr(0b110010), 26442 - 26434), ehT0Px3KOsy9(chr(375 - 327) + chr(111) + chr(1039 - 988) + chr(0b100 + 0o61) + chr(48), 0o10), ehT0Px3KOsy9(chr(1259 - 1211) + chr(111) + chr(0b101101 + 0o5) + '\x32' + '\067', 8), ehT0Px3KOsy9(chr(1456 - 1408) + '\x6f' + chr(0b101000 + 0o17) + chr(0b101101 + 0o5), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1228 - 1179) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(112 - 64) + '\157' + chr(50) + chr(0b110100) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111111 + 0o60) + chr(49) + chr(904 - 853) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\x31' + chr(0b10110 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(1079 - 1031) + '\157' + chr(49) + '\063' + '\x33', 59274 - 59266), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b111 + 0o57) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b10101 + 0o36) + '\x30' + chr(2849 - 2795), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7895 - 7784) + '\x31' + chr(0b110001) + chr(0b11111 + 0o27), 57461 - 57453), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x37' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4227 - 4116) + chr(2563 - 2512) + chr(0b110110) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(668 - 557) + chr(49) + chr(406 - 355), 8), ehT0Px3KOsy9('\060' + chr(0b1101011 + 0o4) + chr(0b100011 + 0o16) + chr(0b110101) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1438 - 1327) + chr(49) + '\x35' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(5315 - 5204) + chr(0b10011 + 0o40) + '\064', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110111) + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b101111 + 0o2) + chr(57 - 4), 5121 - 5113), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(1063 - 1012) + chr(766 - 714) + '\x30', 15761 - 15753), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101100 + 0o5) + chr(0b110001) + chr(0b101 + 0o53), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b11110 + 0o23) + '\x31', 8), ehT0Px3KOsy9('\060' + chr(7671 - 7560) + '\062' + chr(53), 52718 - 52710), ehT0Px3KOsy9('\060' + chr(1679 - 1568) + chr(51) + chr(1144 - 1096) + chr(48), 31837 - 31829), ehT0Px3KOsy9(chr(1033 - 985) + chr(0b1101111) + chr(0b11 + 0o60) + chr(0b1111 + 0o47) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\064', 59383 - 59375), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b11001 + 0o31) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(936 - 888), 1774 - 1766)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(348 - 300) + '\x6f' + '\065' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3'), chr(0b10010 + 0o122) + '\x65' + chr(0b1100011) + '\x6f' + chr(1331 - 1231) + '\x65')(chr(4612 - 4495) + chr(12192 - 12076) + '\x66' + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def KJdhRco6hbZU():
n4ljua2gi1Pr = vLnG3ZpOXWXZ.basic_params1()
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b100000 + 0o20) + '\060' + chr(48), ord("\x08"))
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(0b110001) + chr(2511 - 2459) + chr(0b11011 + 0o25) + chr(0b110000), 0o10)
n4ljua2gi1Pr.ag0mwEgWzjYv = 0.5
n4ljua2gi1Pr.ycYLHKnRG3mu = 0.2
n4ljua2gi1Pr.FSjUgdaczzRk = 0.1
n4ljua2gi1Pr.SdNSZNVkVjLh = 2.0
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100), 8)
n4ljua2gi1Pr.aWtpZRO3JbHj = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33', 0b1000)
n4ljua2gi1Pr.xCDNMTg51zI4 = ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31', 0b1000)
n4ljua2gi1Pr.LE5Fu6Tcl7nw = xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\xe8\xfby\xe0'), '\x64' + '\x65' + chr(7756 - 7657) + '\157' + '\x64' + chr(0b1100101))('\165' + '\164' + chr(0b1100110) + chr(45) + chr(0b111000))
n4ljua2gi1Pr.v3ZnJE9Hdub1 = xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xf1\xf2'), chr(100) + chr(0b1100101) + chr(4824 - 4725) + chr(0b1100101 + 0o12) + '\x64' + '\145')(chr(117) + '\164' + chr(2391 - 2289) + chr(45) + chr(0b111000))
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.05
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9('\060' + chr(0b110111 + 0o70) + chr(0b110101) + '\x36' + '\x37' + '\x30', 44904 - 44896)
n4ljua2gi1Pr.S1SbCBXLapw8 = 1.0
n4ljua2gi1Pr.eB4rJl6fUxw9 = 3.0
n4ljua2gi1Pr.Syf38YGTPvuw = ehT0Px3KOsy9('\060' + chr(111) + chr(48), 47009 - 47001)
n4ljua2gi1Pr.Ud1InQ7hapop = xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xfb\xe5q\xf3`'), chr(3687 - 3587) + chr(508 - 407) + chr(0b110011 + 0o60) + '\x6f' + chr(100) + '\145')('\x75' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b111000))
n4ljua2gi1Pr.o17O_bIptWdl = 1e-06
n4ljua2gi1Pr.GcOjyd7zcDH8 = 0.85
n4ljua2gi1Pr.CBOVKNT0M9cG = 0.997
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xed\xe6C\xfah\xa2\xcf\x82\xfa'), chr(9026 - 8926) + '\x65' + chr(7805 - 7706) + '\157' + chr(3882 - 3782) + chr(101))('\x75' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\xe8\xf0{\xf7G\xa8\xd8\x91\xf9\x07\x84\xc8Ib\xdc9'), chr(100) + chr(0b1100101) + chr(2863 - 2764) + '\157' + chr(0b1001100 + 0o30) + '\145')('\x75' + '\164' + chr(0b10101 + 0o121) + chr(45) + chr(0b10010 + 0o46)), ehT0Px3KOsy9(chr(48) + '\157' + chr(1902 - 1853) + chr(0b101101 + 0o12), ord("\x08")))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xed\xe6C\xfah\xa2\xcf\x82\xfa'), chr(0b1100100) + chr(0b1100101) + chr(1205 - 1106) + '\x6f' + chr(100) + chr(0b1100101))('\165' + '\x74' + chr(102) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\xec\xf2}\xe0y\xa1\xd4\x8f\xfe\x16\x91'), chr(2174 - 2074) + chr(0b1000010 + 0o43) + chr(99) + '\157' + '\144' + chr(5278 - 5177))('\165' + chr(10376 - 10260) + chr(7228 - 7126) + chr(1884 - 1839) + chr(0b111000)), -ehT0Px3KOsy9(chr(1816 - 1768) + chr(6247 - 6136) + '\x32', 0o10))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xed\xe6C\xfah\xa2\xcf\x82\xfa'), chr(0b1100100) + chr(0b1100101) + '\143' + '\157' + '\144' + chr(101))('\165' + chr(1898 - 1782) + chr(102) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xe0\xee}\xe6q\xac\xd3\xbc\xe4\x01\x80\xf2Wn'), '\x64' + '\145' + chr(99) + '\x6f' + chr(0b11100 + 0o110) + '\145')(chr(0b10100 + 0o141) + '\164' + chr(0b1100110) + '\x2d' + chr(1180 - 1124)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xa7\xb32\xa36\xf2'), '\x64' + '\145' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1110101) + '\164' + '\x66' + chr(622 - 577) + chr(0b100010 + 0o26)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xed\xe6C\xfah\xa2\xcf\x82\xfa'), '\x64' + chr(0b100101 + 0o100) + '\x63' + '\x6f' + chr(100) + '\x65')(chr(0b1110101) + chr(116) + chr(0b1011011 + 0o13) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\xec\xf0r\xf7t\x9c\xce\x80\xff\x07\x85\xf2'), chr(6508 - 6408) + '\145' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(13007 - 12890) + '\164' + chr(854 - 752) + chr(0b100011 + 0o12) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xa7\xb52\xa3-\xed\x8e\xd2'), '\144' + chr(0b100111 + 0o76) + chr(0b1100011) + chr(8045 - 7934) + chr(3481 - 3381) + chr(101))('\165' + '\164' + chr(10066 - 9964) + '\055' + chr(56)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xed\xe6C\xfah\xa2\xcf\x82\xfa'), '\144' + chr(6960 - 6859) + chr(0b1100011) + chr(0b100001 + 0o116) + '\144' + '\x65')(chr(8620 - 8503) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xfc\xe6u\xfdG\xa0\xd2\x8e\xe7\x10\x8d\xe4Ib\xc92'), chr(0b1100100) + '\145' + chr(1280 - 1181) + chr(3191 - 3080) + chr(1597 - 1497) + '\x65')(chr(0b1110101) + '\x74' + chr(5080 - 4978) + chr(0b101101) + '\x38'), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1111 + 0o42) + chr(0b110000), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xed\xe6C\xfah\xa2\xcf\x82\xfa'), chr(7196 - 7096) + '\145' + chr(3728 - 3629) + '\157' + '\144' + chr(9996 - 9895))('\165' + chr(116) + '\x66' + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xfd\xf6y\xfcl\xaa\xd2\x8d\xc8\x16\x91\xe7_'), chr(7998 - 7898) + chr(2619 - 2518) + chr(0b1100011) + chr(0b1010001 + 0o36) + '\x64' + chr(0b1100101))(chr(0b1000110 + 0o57) + chr(0b1001000 + 0o54) + chr(10363 - 10261) + chr(45) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\xe0\xefl\xfe}'), chr(0b1000101 + 0o37) + chr(4694 - 4593) + chr(9619 - 9520) + '\157' + chr(0b1100100) + chr(759 - 658))('\165' + chr(0b100101 + 0o117) + '\146' + chr(0b11110 + 0o17) + chr(0b111000)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xed\xe6C\xfah\xa2\xcf\x82\xfa'), '\144' + '\x65' + chr(0b1100011) + '\x6f' + chr(0b11 + 0o141) + '\145')(chr(117) + '\x74' + '\146' + chr(45) + chr(1407 - 1351)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\xfc\xefC\xfa}\xa2\xd9\x90'), chr(100) + chr(3960 - 3859) + '\x63' + '\x6f' + chr(100) + chr(7041 - 6940))(chr(0b1010110 + 0o37) + '\x74' + '\x66' + chr(1665 - 1620) + '\x38'), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b10010 + 0o36), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xed\xe6C\xfah\xa2\xcf\x82\xfa'), chr(0b101001 + 0o73) + '\x65' + chr(478 - 379) + '\x6f' + '\144' + chr(0b101011 + 0o72))('\165' + chr(0b1110100) + '\x66' + chr(45) + chr(2359 - 2303)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xfd\xf6y\xfcl\xaa\xd2\x8d\xc8\t\x8d\xeeeh\xce="5T\xaa='), chr(0b1100100) + chr(0b11010 + 0o113) + chr(3475 - 3376) + '\x6f' + chr(100) + chr(0b1100101))(chr(2445 - 2328) + chr(0b1110100) + chr(1232 - 1130) + chr(0b101101) + chr(2150 - 2094)), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1010010 + 0o35) + chr(0b110000), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xed\xe6C\xfah\xa2\xcf\x82\xfa'), chr(8986 - 8886) + chr(2422 - 2321) + chr(99) + chr(0b1000100 + 0o53) + chr(100) + chr(5554 - 5453))(chr(0b1110100 + 0o1) + '\164' + '\x66' + chr(718 - 673) + chr(2313 - 2257)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xfd\xf6y\xfcl\xaa\xd2\x8d\xc8\x14\x89\xfbOn\xf9?$:_\xa8+Wt'), chr(0b1100100) + '\145' + chr(0b110000 + 0o63) + chr(0b1101111) + chr(2625 - 2525) + '\x65')('\165' + '\164' + chr(0b1100110) + chr(45) + chr(56)), ehT0Px3KOsy9('\060' + chr(8313 - 8202) + '\x30', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xed\xe6C\xfah\xa2\xcf\x82\xfa'), chr(2675 - 2575) + chr(0b1100101) + '\x63' + chr(111) + chr(100) + chr(0b100111 + 0o76))('\x75' + chr(116) + chr(0b1100110) + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\xe0\xefC\xfew\xb0\xce\xbc\xfa\x17\x84\xe3'), chr(4373 - 4273) + '\145' + chr(471 - 372) + chr(0b11110 + 0o121) + chr(0b10110 + 0o116) + chr(1357 - 1256))('\x75' + '\164' + '\146' + chr(0b1001 + 0o44) + chr(317 - 261)), 0.0)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xed\xe6C\xfah\xa2\xcf\x82\xfa'), chr(100) + chr(0b1010000 + 0o25) + chr(99) + '\x6f' + chr(6826 - 6726) + chr(0b111 + 0o136))(chr(0b101110 + 0o107) + chr(116) + '\x66' + '\055' + chr(0b100110 + 0o22)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xfd\xf6y\xfcl\xaa\xd2\x8d\xc8\x06\x9a\xf8Jd\xd3('), chr(100) + chr(0b100101 + 0o100) + '\143' + chr(6183 - 6072) + chr(4020 - 3920) + '\145')('\x75' + '\164' + '\146' + chr(45) + chr(2643 - 2587)), 0.2)
n4ljua2gi1Pr.qVamxim0L2I1 = ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31', 8)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/slicenet.py
|
slicenet_params1_noam
|
def slicenet_params1_noam():
"""Version with Noam's decay scheme."""
hparams = slicenet_params1()
hparams.learning_rate_decay_scheme = "noam"
hparams.learning_rate = 1.0
hparams.learning_rate_warmup_steps = 4000
hparams.initializer = "uniform_unit_scaling"
hparams.optimizer_adam_epsilon = 1e-9
hparams.optimizer_adam_beta1 = 0.9
hparams.optimizer_adam_beta2 = 0.98
return hparams
|
python
|
def slicenet_params1_noam():
"""Version with Noam's decay scheme."""
hparams = slicenet_params1()
hparams.learning_rate_decay_scheme = "noam"
hparams.learning_rate = 1.0
hparams.learning_rate_warmup_steps = 4000
hparams.initializer = "uniform_unit_scaling"
hparams.optimizer_adam_epsilon = 1e-9
hparams.optimizer_adam_beta1 = 0.9
hparams.optimizer_adam_beta2 = 0.98
return hparams
|
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"=",
"0.9",
"hparams",
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"0.98",
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] |
Version with Noam's decay scheme.
|
[
"Version",
"with",
"Noam",
"s",
"decay",
"scheme",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/slicenet.py#L338-L348
|
train
|
Version with Noam s decay scheme.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(49) + '\061' + chr(0b100111 + 0o15), 0o10), ehT0Px3KOsy9(chr(1814 - 1766) + chr(111) + chr(50) + chr(0b101000 + 0o13) + '\067', 606 - 598), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(1812 - 1764) + chr(0b110011 + 0o2), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011001 + 0o26) + '\x31' + chr(0b110010) + chr(1170 - 1121), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3751 - 3640) + chr(50) + chr(0b110110) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101011 + 0o104) + chr(51) + '\x31' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + '\x33' + chr(0b110001), 17150 - 17142), ehT0Px3KOsy9(chr(791 - 743) + chr(111) + '\066' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(2155 - 2105) + chr(581 - 529), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001111 + 0o40) + chr(2234 - 2183) + chr(0b110011) + chr(2168 - 2119), 0b1000), ehT0Px3KOsy9(chr(1575 - 1527) + chr(0b1101111) + '\x31' + '\x33' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(2194 - 2146) + '\157' + '\x36' + '\060', 8), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(7107 - 6996) + chr(0b110011) + chr(0b1100 + 0o47) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(146 - 98) + '\x6f' + chr(0b110010) + '\061' + chr(0b101011 + 0o6), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101001 + 0o12) + chr(172 - 121) + chr(1530 - 1476), 54855 - 54847), ehT0Px3KOsy9(chr(216 - 168) + chr(111) + '\x32' + chr(0b110111) + chr(55), 4863 - 4855), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(49) + chr(1988 - 1933), 49562 - 49554), ehT0Px3KOsy9(chr(251 - 203) + chr(0b1010011 + 0o34) + chr(0b110010) + chr(0b100101 + 0o16) + chr(123 - 72), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b100010 + 0o17) + chr(1523 - 1470), 0b1000), ehT0Px3KOsy9('\x30' + chr(5515 - 5404) + chr(0b110001) + chr(0b110001) + chr(555 - 503), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + chr(51) + chr(0b110101) + chr(0b101110 + 0o6), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1951 - 1898) + chr(296 - 248), 12950 - 12942), ehT0Px3KOsy9(chr(2283 - 2235) + chr(111) + '\066' + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + '\x32' + chr(554 - 500) + '\x37', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\x33' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1245 - 1197) + '\157' + chr(50) + chr(55) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(8691 - 8580) + chr(0b11000 + 0o31) + chr(0b1001 + 0o56) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\061' + '\067', 8), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + chr(49) + chr(1159 - 1106) + chr(450 - 401), 9888 - 9880), ehT0Px3KOsy9(chr(134 - 86) + chr(11124 - 11013) + chr(0b110001) + chr(0b10111 + 0o32) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(411 - 360) + chr(0b1001 + 0o52) + chr(0b100011 + 0o20), 13997 - 13989), ehT0Px3KOsy9(chr(2094 - 2046) + chr(0b1101111) + '\061' + '\062' + chr(463 - 410), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10011 + 0o36) + '\x30' + chr(0b110101), 38237 - 38229), ehT0Px3KOsy9(chr(1161 - 1113) + chr(111) + chr(49) + chr(0b110101) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(4675 - 4564) + chr(51) + chr(0b110001) + '\x32', 8), ehT0Px3KOsy9(chr(382 - 334) + chr(0b1101111) + '\062' + '\062' + '\x31', 6994 - 6986), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1111 + 0o140) + chr(0b110010) + chr(0b10001 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(2246 - 2195) + chr(2587 - 2533) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1549 - 1499) + chr(55) + '\060', 8), ehT0Px3KOsy9(chr(1477 - 1429) + '\157' + '\x32' + chr(49) + chr(0b101010 + 0o15), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + '\x35' + chr(549 - 501), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'b'), '\x64' + chr(0b110101 + 0o60) + chr(9159 - 9060) + '\157' + chr(0b1011100 + 0o10) + '\145')(chr(9033 - 8916) + '\x74' + '\146' + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FJs_ikwpJOg6():
n4ljua2gi1Pr = KJdhRco6hbZU()
n4ljua2gi1Pr.v3ZnJE9Hdub1 = xafqLlk3kkUe(SXOLrMavuUCe(b'"\xf0\xe4<'), '\144' + '\x65' + chr(6596 - 6497) + chr(0b1011001 + 0o26) + chr(0b1100100) + chr(0b1100101))('\165' + '\x74' + chr(0b101 + 0o141) + '\x2d' + chr(0b101110 + 0o12))
n4ljua2gi1Pr.QGSIpd_yUNzU = 1.0
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(1690 - 1635) + chr(54) + chr(0b110001 + 0o3) + chr(283 - 235), 0o10)
n4ljua2gi1Pr.kwfuYzkY5C57 = xafqLlk3kkUe(SXOLrMavuUCe(b'9\xf1\xec7\xd8\xb8\xf4o!\xb71D\x85\xfa\xbd\xde#\xf2#+'), '\144' + chr(0b1000 + 0o135) + chr(6784 - 6685) + '\x6f' + chr(0b1100100) + '\x65')('\x75' + chr(978 - 862) + chr(3548 - 3446) + chr(1454 - 1409) + chr(0b10111 + 0o41))
n4ljua2gi1Pr.o17O_bIptWdl = 1e-09
n4ljua2gi1Pr.GcOjyd7zcDH8 = 0.9
n4ljua2gi1Pr.CBOVKNT0M9cG = 0.98
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/slicenet.py
|
slicenet_params1_tiny
|
def slicenet_params1_tiny():
"""Version for fast local runs."""
hparams = slicenet_params1()
hparams.attention_type = "simple"
hparams.separability = 0
hparams.hidden_size = 128
hparams.num_hidden_layers = 2
hparams.batch_size = 512
hparams.learning_rate_warmup_steps = 200
return hparams
|
python
|
def slicenet_params1_tiny():
"""Version for fast local runs."""
hparams = slicenet_params1()
hparams.attention_type = "simple"
hparams.separability = 0
hparams.hidden_size = 128
hparams.num_hidden_layers = 2
hparams.batch_size = 512
hparams.learning_rate_warmup_steps = 200
return hparams
|
[
"def",
"slicenet_params1_tiny",
"(",
")",
":",
"hparams",
"=",
"slicenet_params1",
"(",
")",
"hparams",
".",
"attention_type",
"=",
"\"simple\"",
"hparams",
".",
"separability",
"=",
"0",
"hparams",
".",
"hidden_size",
"=",
"128",
"hparams",
".",
"num_hidden_layers",
"=",
"2",
"hparams",
".",
"batch_size",
"=",
"512",
"hparams",
".",
"learning_rate_warmup_steps",
"=",
"200",
"return",
"hparams"
] |
Version for fast local runs.
|
[
"Version",
"for",
"fast",
"local",
"runs",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/slicenet.py#L352-L361
|
train
|
Version for fast local runs.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b101110 + 0o10) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(637 - 526) + chr(0b110110) + chr(1368 - 1316), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100111 + 0o12) + '\x30' + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110110 + 0o71) + chr(608 - 559) + '\x37' + chr(49), 47444 - 47436), ehT0Px3KOsy9('\060' + chr(0b100111 + 0o110) + chr(589 - 539) + '\x30' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1123 - 1075) + '\157' + '\x34' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1990 - 1939) + chr(608 - 558) + chr(0b10011 + 0o44), 60842 - 60834), ehT0Px3KOsy9(chr(48) + chr(11653 - 11542) + chr(0b100010 + 0o21) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b110001) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1741 - 1693) + chr(111) + chr(0b110001) + chr(0b100000 + 0o26) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(9290 - 9179) + '\061' + '\062' + '\x37', 49138 - 49130), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(536 - 486) + chr(0b110110) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + chr(0b110001) + '\066' + chr(0b110100), 8), ehT0Px3KOsy9(chr(1322 - 1274) + '\157' + chr(55) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110101) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(376 - 325) + chr(49), 0o10), ehT0Px3KOsy9(chr(1343 - 1295) + chr(111) + '\061', 20728 - 20720), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\x35' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + '\061' + '\x32' + chr(1996 - 1946), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101000 + 0o7) + chr(0b110011) + chr(2717 - 2663) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b110001) + chr(0b10010 + 0o41), 0b1000), ehT0Px3KOsy9('\x30' + chr(340 - 229) + chr(0b110001) + chr(1270 - 1222) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101011 + 0o4) + chr(0b11001 + 0o30) + chr(1216 - 1162) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b101 + 0o57) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + '\063' + chr(0b11 + 0o60) + chr(455 - 402), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\x33' + chr(0b101100 + 0o11) + chr(53), 25856 - 25848), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b11110 + 0o24) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + '\062' + '\x34' + '\060', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + '\x33' + chr(51) + chr(0b11011 + 0o30), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\066' + '\x37', 30615 - 30607), ehT0Px3KOsy9(chr(0b110000) + chr(6528 - 6417) + chr(49) + chr(0b111 + 0o60) + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b101100 + 0o103) + '\061' + '\x35' + chr(2624 - 2570), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1038 - 987) + chr(237 - 186) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1610 - 1561) + chr(49) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(1083 - 1028) + chr(0b110011), 25706 - 25698), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10110 + 0o36) + chr(1980 - 1927), 15474 - 15466), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11011 + 0o26) + chr(213 - 165), 0b1000), ehT0Px3KOsy9('\x30' + chr(5891 - 5780) + '\x31' + chr(0b110110) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b10111 + 0o31), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + chr(0b11101 + 0o23), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b'), '\x64' + '\x65' + '\143' + chr(0b1101111) + '\x64' + '\145')(chr(0b1000011 + 0o62) + chr(0b1110100) + chr(102) + chr(974 - 929) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def lOCHhk4H10l_():
n4ljua2gi1Pr = KJdhRco6hbZU()
n4ljua2gi1Pr.lZ1GB4L2oMeG = xafqLlk3kkUe(SXOLrMavuUCe(b'F],\t\xecD'), chr(0b1100100) + chr(0b100 + 0o141) + '\x63' + '\157' + chr(331 - 231) + chr(3022 - 2921))(chr(0b1110101) + chr(6908 - 6792) + chr(0b111001 + 0o55) + chr(0b101101) + chr(56))
n4ljua2gi1Pr.hWr_AfvsCMfQ = ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + '\x30', ord("\x08"))
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9('\x30' + chr(0b111111 + 0o60) + '\x32' + chr(0b110000) + chr(48), 8)
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(680 - 632) + '\157' + chr(50), ord("\x08"))
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + chr(0b10010 + 0o37) + chr(48) + chr(0b110000) + '\060', ord("\x08"))
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + '\063' + chr(1199 - 1150) + chr(0b110000), ord("\x08"))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/slicenet.py
|
slicenet_range1
|
def slicenet_range1(ranged_hparams):
"""Small range of hyperparameters."""
rhp = ranged_hparams
rhp.set_float("clip_grad_norm", 1.0, 10.0, scale=rhp.LOG_SCALE)
rhp.set_float("learning_rate", 0.02, 1.0, scale=rhp.LOG_SCALE)
rhp.set_float("optimizer_adam_beta2", 0.995, 0.998)
rhp.set_float("weight_decay", 1.0, 5.0)
|
python
|
def slicenet_range1(ranged_hparams):
"""Small range of hyperparameters."""
rhp = ranged_hparams
rhp.set_float("clip_grad_norm", 1.0, 10.0, scale=rhp.LOG_SCALE)
rhp.set_float("learning_rate", 0.02, 1.0, scale=rhp.LOG_SCALE)
rhp.set_float("optimizer_adam_beta2", 0.995, 0.998)
rhp.set_float("weight_decay", 1.0, 5.0)
|
[
"def",
"slicenet_range1",
"(",
"ranged_hparams",
")",
":",
"rhp",
"=",
"ranged_hparams",
"rhp",
".",
"set_float",
"(",
"\"clip_grad_norm\"",
",",
"1.0",
",",
"10.0",
",",
"scale",
"=",
"rhp",
".",
"LOG_SCALE",
")",
"rhp",
".",
"set_float",
"(",
"\"learning_rate\"",
",",
"0.02",
",",
"1.0",
",",
"scale",
"=",
"rhp",
".",
"LOG_SCALE",
")",
"rhp",
".",
"set_float",
"(",
"\"optimizer_adam_beta2\"",
",",
"0.995",
",",
"0.998",
")",
"rhp",
".",
"set_float",
"(",
"\"weight_decay\"",
",",
"1.0",
",",
"5.0",
")"
] |
Small range of hyperparameters.
|
[
"Small",
"range",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/slicenet.py#L365-L371
|
train
|
Small range of hyperparameters.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(8702 - 8591) + '\063' + chr(54) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(11773 - 11662) + chr(2374 - 2324) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\064' + chr(0b101111 + 0o1), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(50) + chr(48) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + chr(0b1 + 0o62) + '\x36' + chr(55), 0b1000), ehT0Px3KOsy9(chr(776 - 728) + chr(0b1101111) + '\063' + chr(0b101010 + 0o7) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(0b110001 + 0o6) + '\x33', 7017 - 7009), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + chr(1803 - 1753) + '\x34' + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10001 + 0o42) + chr(0b110101) + chr(0b10 + 0o64), 8738 - 8730), ehT0Px3KOsy9('\060' + chr(1496 - 1385) + chr(0b11001 + 0o31) + '\x35', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(55) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1010100 + 0o33) + chr(2151 - 2101) + chr(0b101101 + 0o6) + chr(0b110010 + 0o1), 0o10), ehT0Px3KOsy9('\060' + chr(9266 - 9155) + '\061' + chr(0b100100 + 0o20) + chr(55), 43462 - 43454), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(944 - 892) + chr(1134 - 1084), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b110010) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110001) + chr(0b100 + 0o56), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110000 + 0o7) + chr(0b1100 + 0o51), 45227 - 45219), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b110010) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(969 - 858) + chr(0b10 + 0o61) + chr(0b100010 + 0o21), 0b1000), ehT0Px3KOsy9(chr(1477 - 1429) + '\x6f' + chr(331 - 282) + chr(55) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b111 + 0o53) + chr(0b110010) + chr(0b1 + 0o62), 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b10101 + 0o132) + '\061' + chr(53) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b101100 + 0o103) + '\065' + chr(149 - 96), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b0 + 0o157) + '\062' + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11111 + 0o24) + chr(0b110011) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b1011 + 0o51) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(51) + '\x33' + chr(49), 8), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(51) + '\065' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + '\067' + chr(52), 0b1000), ehT0Px3KOsy9(chr(948 - 900) + chr(4178 - 4067) + chr(49) + '\x33' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4890 - 4779) + chr(428 - 379) + chr(2402 - 2350) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7385 - 7274) + chr(0b110011) + chr(0b110110) + chr(0b110 + 0o57), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6321 - 6210) + '\x33' + chr(1287 - 1233) + chr(55), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b110101) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(919 - 870) + '\x33' + chr(1691 - 1642), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(534 - 486) + '\x6f' + '\061' + chr(724 - 673) + chr(0b110101), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x36', 0o10), ehT0Px3KOsy9(chr(1501 - 1453) + chr(0b110000 + 0o77) + '\x32' + chr(0b110000) + chr(55), 26898 - 26890)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + '\065' + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xde'), chr(3536 - 3436) + '\145' + chr(99) + chr(0b1111 + 0o140) + '\144' + chr(2453 - 2352))(chr(0b1000100 + 0o61) + chr(0b1110100) + '\x66' + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def tDLpJ5kcQO4W(OvkYJ_zug9gx):
IwsgmEzQknPc = OvkYJ_zug9gx
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83pT\xd9\x91\xa2T\xc4\x9a'), '\x64' + chr(0b1100101) + chr(2502 - 2403) + chr(9714 - 9603) + '\x64' + chr(0b1100101))(chr(375 - 258) + '\x74' + chr(0b110010 + 0o64) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x93yI\xf6\xa8\xa9I\xc4\x8aJV\xf4\x15O'), chr(0b1100100) + chr(101) + chr(99) + chr(111) + '\x64' + '\145')('\165' + chr(0b1011011 + 0o31) + chr(9904 - 9802) + chr(1399 - 1354) + chr(600 - 544)), 1.0, 10.0, scale=xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbcZg\xd9\xa4\x8dz\xe9\xab'), chr(0b1000100 + 0o40) + chr(0b101111 + 0o66) + chr(0b100110 + 0o75) + chr(0b1101111) + '\144' + '\x65')(chr(0b1110101) + chr(116) + '\x66' + chr(0b1010 + 0o43) + '\070')))
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83pT\xd9\x91\xa2T\xc4\x9a'), chr(0b1100100) + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b101000 + 0o5) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9cpA\xf4\x99\xa7U\xc2\xb1gY\xef\x02'), chr(3468 - 3368) + '\x65' + chr(0b1 + 0o142) + chr(0b1101111) + chr(7606 - 7506) + chr(5759 - 5658))(chr(0b1101101 + 0o10) + chr(116) + chr(0b1100001 + 0o5) + '\055' + chr(462 - 406)), 0.02, 1.0, scale=xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbcZg\xd9\xa4\x8dz\xe9\xab'), chr(0b100 + 0o140) + '\x65' + chr(0b101111 + 0o64) + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(12718 - 12602) + chr(0b1100110) + chr(45) + chr(56))))
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83pT\xd9\x91\xa2T\xc4\x9a'), chr(100) + chr(0b1100101) + '\143' + chr(0b1011101 + 0o22) + chr(0b10110 + 0o116) + '\x65')('\x75' + chr(0b1110100) + chr(7677 - 7575) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9feT\xef\x9a\xa7A\xc0\x9cJY\xff\x06O\xcc\xe8\x98dzN'), chr(100) + chr(6912 - 6811) + '\143' + chr(111) + '\144' + chr(0b1100101))(chr(0b1110 + 0o147) + chr(4703 - 4587) + chr(0b1100110) + chr(45) + '\070'), 0.995, 0.998)
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83pT\xd9\x91\xa2T\xc4\x9a'), chr(5495 - 5395) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(1598 - 1498) + '\x65')(chr(0b1110101) + chr(0b110101 + 0o77) + chr(0b100101 + 0o101) + chr(934 - 889) + chr(2042 - 1986)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x87pI\xe1\x9f\xbad\xc1\x8bvY\xe2'), chr(100) + chr(101) + chr(99) + '\x6f' + '\144' + chr(0b1100101))(chr(0b111000 + 0o75) + chr(116) + chr(0b1100110) + '\x2d' + chr(2513 - 2457)), 1.0, 5.0)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/pointer_generator_word.py
|
TokenTextEncoderOov.encode
|
def encode(self, s):
"""Converts a space-separated string of tokens to lists of ids.
Also store temporary vocabulary IDs for source OOV tokens. OOVs are
represented by their temporary OOV number. E.g., if the vocabulary size
is 50k and the source has 3 OOVs, then these temporary OOV numbers will
be 50000, 50001, 50002.
Args:
s: human-readable string to be converted.
Returns:
ids: list of integers
ids_extend: list of integers including extended temporary vocab IDs for
source OOVs.
oovs: A dict storing source OOV words, used for the decoder to copy. The
key is OOV word, and the value is the order they appear in the source,
starting from 0.
source_oov_id_to_token: a list of source OOV tokens, in the same order as
they appear in the source.
"""
sentence = s
tokens = sentence.strip().split()
ids = []
ids_extend = []
oovs = {}
for t in tokens:
if t in self._token_to_id:
ids.append(self._token_to_id[t])
ids_extend.append(self._token_to_id[t])
else:
next_oov_id = len(oovs)
oov_num = oovs.get(t, next_oov_id)
if oov_num == next_oov_id:
oovs[t] = oov_num
ids_extend.append(self.vocab_size + oov_num)
ids.append(self._token_to_id[self._replace_oov])
source_oov_id_to_token = [""] * len(oovs)
for oov in oovs:
source_oov_id_to_token[oovs[oov]] = oov
if self._reverse:
return ids[::-1], ids_extend[::-1], oovs, source_oov_id_to_token
else:
return ids, ids_extend, oovs, source_oov_id_to_token
|
python
|
def encode(self, s):
"""Converts a space-separated string of tokens to lists of ids.
Also store temporary vocabulary IDs for source OOV tokens. OOVs are
represented by their temporary OOV number. E.g., if the vocabulary size
is 50k and the source has 3 OOVs, then these temporary OOV numbers will
be 50000, 50001, 50002.
Args:
s: human-readable string to be converted.
Returns:
ids: list of integers
ids_extend: list of integers including extended temporary vocab IDs for
source OOVs.
oovs: A dict storing source OOV words, used for the decoder to copy. The
key is OOV word, and the value is the order they appear in the source,
starting from 0.
source_oov_id_to_token: a list of source OOV tokens, in the same order as
they appear in the source.
"""
sentence = s
tokens = sentence.strip().split()
ids = []
ids_extend = []
oovs = {}
for t in tokens:
if t in self._token_to_id:
ids.append(self._token_to_id[t])
ids_extend.append(self._token_to_id[t])
else:
next_oov_id = len(oovs)
oov_num = oovs.get(t, next_oov_id)
if oov_num == next_oov_id:
oovs[t] = oov_num
ids_extend.append(self.vocab_size + oov_num)
ids.append(self._token_to_id[self._replace_oov])
source_oov_id_to_token = [""] * len(oovs)
for oov in oovs:
source_oov_id_to_token[oovs[oov]] = oov
if self._reverse:
return ids[::-1], ids_extend[::-1], oovs, source_oov_id_to_token
else:
return ids, ids_extend, oovs, source_oov_id_to_token
|
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Converts a space-separated string of tokens to lists of ids.
Also store temporary vocabulary IDs for source OOV tokens. OOVs are
represented by their temporary OOV number. E.g., if the vocabulary size
is 50k and the source has 3 OOVs, then these temporary OOV numbers will
be 50000, 50001, 50002.
Args:
s: human-readable string to be converted.
Returns:
ids: list of integers
ids_extend: list of integers including extended temporary vocab IDs for
source OOVs.
oovs: A dict storing source OOV words, used for the decoder to copy. The
key is OOV word, and the value is the order they appear in the source,
starting from 0.
source_oov_id_to_token: a list of source OOV tokens, in the same order as
they appear in the source.
|
[
"Converts",
"a",
"space",
"-",
"separated",
"string",
"of",
"tokens",
"to",
"lists",
"of",
"ids",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/pointer_generator_word.py#L93-L136
|
train
|
Converts a space - separated string of tokens to lists of ids.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b11010 + 0o125) + '\x37' + chr(54), 44691 - 44683), ehT0Px3KOsy9(chr(700 - 652) + '\157' + chr(398 - 348) + chr(0b1110 + 0o44) + chr(0b110000), 3150 - 3142), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b10000 + 0o44) + chr(2540 - 2485), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + '\x31' + chr(0b11110 + 0o30) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(0b110011) + '\065' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(6376 - 6265) + chr(0b110001) + chr(0b11 + 0o63) + chr(0b110000 + 0o2), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(55) + chr(55), 5995 - 5987), ehT0Px3KOsy9(chr(1812 - 1764) + '\x6f' + chr(0b110001) + chr(865 - 814), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(50) + chr(0b101 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(1748 - 1697) + chr(52) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1170 - 1059) + '\061' + chr(51) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(556 - 505) + chr(50) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3217 - 3106) + chr(0b1101 + 0o46) + chr(0b110101) + chr(53), 0o10), ehT0Px3KOsy9(chr(991 - 943) + '\x6f' + chr(0b10110 + 0o33) + chr(53) + chr(0b11000 + 0o32), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x31' + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(820 - 709) + '\062' + '\x37' + '\064', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(2105 - 2054) + chr(2342 - 2287), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110101) + '\x34', 34042 - 34034), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\066', 64640 - 64632), ehT0Px3KOsy9('\x30' + chr(8164 - 8053) + '\x32' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(84 - 29) + chr(0b10110 + 0o33), 28608 - 28600), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11001 + 0o30) + '\x35' + chr(1276 - 1225), 2292 - 2284), ehT0Px3KOsy9('\060' + chr(10567 - 10456) + '\062' + '\062' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1752 - 1702) + chr(0b110010 + 0o1) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\067', 19834 - 19826), ehT0Px3KOsy9('\060' + chr(0b1000010 + 0o55) + '\061' + chr(51) + chr(1024 - 971), 10568 - 10560), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + chr(0b110001) + chr(0b110110) + chr(0b110101 + 0o2), 0o10), ehT0Px3KOsy9(chr(1361 - 1313) + chr(7087 - 6976) + chr(51) + chr(48) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(836 - 786), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(0b101 + 0o56) + '\060' + chr(475 - 427), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2093 - 1982) + '\063' + '\063' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(578 - 529) + '\066', 0b1000), ehT0Px3KOsy9(chr(2089 - 2041) + chr(111) + '\063' + chr(51) + chr(0b110010), 30892 - 30884), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1010 + 0o51) + chr(51) + '\x35', 8), ehT0Px3KOsy9(chr(48) + chr(2655 - 2544) + chr(2485 - 2430) + chr(51), 0o10), ehT0Px3KOsy9(chr(919 - 871) + chr(0b1101111) + chr(0b110011) + '\x34' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b101100 + 0o6) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(2194 - 2140) + '\067', 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b110001) + '\066' + '\067', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101101 + 0o4) + '\066' + chr(611 - 561), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(804 - 751) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x10'), chr(0b1011 + 0o131) + chr(101) + '\143' + '\x6f' + '\144' + chr(2842 - 2741))(chr(8636 - 8519) + chr(0b1110100) + chr(102) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WZINe7poqZfF(oVre8I6UXc3b, vGrByMSYMp9h):
pamQPTGoym5v = vGrByMSYMp9h
Sz7tXxaCGqJ1 = pamQPTGoym5v.strip().split()
zdjj2pRemk_P = []
YW_OY_KTbqSh = []
YfLJfOFhdxdq = {}
for YeT3l7JgTbWR in Sz7tXxaCGqJ1:
if YeT3l7JgTbWR in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'J\xd4\x8c"\xa98\xc5s"\x843\x84'), chr(100) + chr(2824 - 2723) + '\x63' + chr(111) + '\144' + chr(101))(chr(11132 - 11015) + chr(116) + chr(0b1100110) + chr(467 - 422) + '\x38')):
xafqLlk3kkUe(zdjj2pRemk_P, xafqLlk3kkUe(SXOLrMavuUCe(b'_\xe0\x97\x10\x85\x16'), chr(100) + '\145' + chr(0b1000110 + 0o35) + '\x6f' + chr(0b10 + 0o142) + chr(0b1100101))('\x75' + chr(11067 - 10951) + chr(1207 - 1105) + '\x2d' + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'J\xd4\x8c"\xa98\xc5s"\x843\x84'), '\144' + '\x65' + chr(99) + '\x6f' + chr(0b1100000 + 0o4) + chr(0b0 + 0o145))(chr(0b111101 + 0o70) + chr(1090 - 974) + chr(0b1100110) + '\x2d' + chr(0b1010 + 0o56)))[YeT3l7JgTbWR])
xafqLlk3kkUe(YW_OY_KTbqSh, xafqLlk3kkUe(SXOLrMavuUCe(b'_\xe0\x97\x10\x85\x16'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(7558 - 7458) + '\145')(chr(7622 - 7505) + '\164' + chr(3312 - 3210) + '\055' + chr(0b110010 + 0o6)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'J\xd4\x8c"\xa98\xc5s"\x843\x84'), chr(0b1010 + 0o132) + chr(0b1101 + 0o130) + chr(0b1100011) + chr(11874 - 11763) + chr(8569 - 8469) + chr(8548 - 8447))(chr(117) + '\x74' + '\x66' + '\055' + '\070'))[YeT3l7JgTbWR])
else:
F36MohZZi5DD = c2A0yzQpDQB3(YfLJfOFhdxdq)
WHTSXB93exN2 = YfLJfOFhdxdq.get(YeT3l7JgTbWR, F36MohZZi5DD)
if WHTSXB93exN2 == F36MohZZi5DD:
YfLJfOFhdxdq[YeT3l7JgTbWR] = WHTSXB93exN2
xafqLlk3kkUe(YW_OY_KTbqSh, xafqLlk3kkUe(SXOLrMavuUCe(b'_\xe0\x97\x10\x85\x16'), chr(0b1100100) + chr(7521 - 7420) + chr(99) + '\x6f' + '\144' + '\145')(chr(117) + chr(116) + chr(9158 - 9056) + '\x2d' + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'}\xf5\x9e8\xa2\x1d\xecr#\x953\x80'), '\144' + '\x65' + chr(0b1011001 + 0o12) + chr(367 - 256) + '\144' + chr(8870 - 8769))(chr(0b1101010 + 0o13) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000))) + WHTSXB93exN2)
xafqLlk3kkUe(zdjj2pRemk_P, xafqLlk3kkUe(SXOLrMavuUCe(b'_\xe0\x97\x10\x85\x16'), chr(7244 - 7144) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b100000 + 0o104) + chr(0b1100101))(chr(0b1110101) + chr(1644 - 1528) + chr(4312 - 4210) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'J\xd4\x8c"\xa98\xc5s"\x843\x84'), chr(0b100101 + 0o77) + '\145' + chr(0b1100011) + chr(111) + '\x64' + chr(101))(chr(0b1110101) + '\164' + chr(2278 - 2176) + chr(0b101101) + chr(0b111000)))[xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'a\xe2\x82\x05\x87\x13\xdcn\x0e\x8a7\xa7'), chr(668 - 568) + chr(0b1100101) + chr(1324 - 1225) + chr(0b1001010 + 0o45) + chr(0b110 + 0o136) + chr(6481 - 6380))(chr(117) + chr(0b1001 + 0o153) + chr(0b1100110) + '\055' + '\070'))])
mWJcCzeKWD0e = [xafqLlk3kkUe(SXOLrMavuUCe(b''), '\x64' + chr(101) + '\143' + chr(111) + chr(100) + chr(101))(chr(6562 - 6445) + chr(7100 - 6984) + '\x66' + chr(45) + chr(1686 - 1630))] * c2A0yzQpDQB3(YfLJfOFhdxdq)
for RhX4kJ3NebK5 in YfLJfOFhdxdq:
mWJcCzeKWD0e[YfLJfOFhdxdq[RhX4kJ3NebK5]] = RhX4kJ3NebK5
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'a\xe2\x82\x03\x8e\x00\xccn'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1011110 + 0o26) + '\x66' + chr(0b101101) + chr(0b11101 + 0o33))):
return (zdjj2pRemk_P[::-ehT0Px3KOsy9('\060' + '\157' + chr(49), ord("\x08"))], YW_OY_KTbqSh[::-ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + chr(0b11010 + 0o27), 8)], YfLJfOFhdxdq, mWJcCzeKWD0e)
else:
return (zdjj2pRemk_P, YW_OY_KTbqSh, YfLJfOFhdxdq, mWJcCzeKWD0e)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/pointer_generator_word.py
|
TokenTextEncoderOov.encode_target
|
def encode_target(self, target, source_oovs):
"""Converts a space-separated string of tokens to lists of ids.
Also store a version of extened vocabulary IDs.
For target OOVs that are in the source, encode them using the temporary
vocab IDs.
For target OOVs not in the source, encode them as <UNK>
Args:
target: target string
source_oovs: source OOV words stored in dict, key is the word, value is
the order in which they appear in the source starting from 0
Returns:
ids: list of integers
ids_extend: list of integers including extended vocabulary IDs.
"""
tokens = target.strip().split()
ids = []
ids_extend = []
for t in tokens:
if t in self._token_to_id:
i = self._token_to_id[t]
ids.append(i)
ids_extend.append(i)
else:
ids.append(self._token_to_id[self._replace_oov])
if t in source_oovs:
vocab_idx = self.vocab_size + source_oovs[t]
ids_extend.append(vocab_idx)
else:
ids_extend.append(self._token_to_id[self._replace_oov])
if self._reverse:
return ids[::-1], ids_extend[::-1]
else:
return ids, ids_extend
|
python
|
def encode_target(self, target, source_oovs):
"""Converts a space-separated string of tokens to lists of ids.
Also store a version of extened vocabulary IDs.
For target OOVs that are in the source, encode them using the temporary
vocab IDs.
For target OOVs not in the source, encode them as <UNK>
Args:
target: target string
source_oovs: source OOV words stored in dict, key is the word, value is
the order in which they appear in the source starting from 0
Returns:
ids: list of integers
ids_extend: list of integers including extended vocabulary IDs.
"""
tokens = target.strip().split()
ids = []
ids_extend = []
for t in tokens:
if t in self._token_to_id:
i = self._token_to_id[t]
ids.append(i)
ids_extend.append(i)
else:
ids.append(self._token_to_id[self._replace_oov])
if t in source_oovs:
vocab_idx = self.vocab_size + source_oovs[t]
ids_extend.append(vocab_idx)
else:
ids_extend.append(self._token_to_id[self._replace_oov])
if self._reverse:
return ids[::-1], ids_extend[::-1]
else:
return ids, ids_extend
|
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"]",
")",
"if",
"self",
".",
"_reverse",
":",
"return",
"ids",
"[",
":",
":",
"-",
"1",
"]",
",",
"ids_extend",
"[",
":",
":",
"-",
"1",
"]",
"else",
":",
"return",
"ids",
",",
"ids_extend"
] |
Converts a space-separated string of tokens to lists of ids.
Also store a version of extened vocabulary IDs.
For target OOVs that are in the source, encode them using the temporary
vocab IDs.
For target OOVs not in the source, encode them as <UNK>
Args:
target: target string
source_oovs: source OOV words stored in dict, key is the word, value is
the order in which they appear in the source starting from 0
Returns:
ids: list of integers
ids_extend: list of integers including extended vocabulary IDs.
|
[
"Converts",
"a",
"space",
"-",
"separated",
"string",
"of",
"tokens",
"to",
"lists",
"of",
"ids",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/pointer_generator_word.py#L138-L173
|
train
|
Converts a space - separated string of tokens to lists of ids.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(48), 33806 - 33798), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(53) + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(10494 - 10383) + '\061' + chr(49) + chr(0b110000 + 0o0), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b100 + 0o56) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000011 + 0o54) + chr(0b1100 + 0o45) + chr(52) + chr(0b10001 + 0o46), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x36' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\067' + chr(486 - 435), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1110 + 0o45) + chr(55) + '\066', 25480 - 25472), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110110) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1238 - 1190) + chr(0b111001 + 0o66) + chr(0b110 + 0o53), 0o10), ehT0Px3KOsy9(chr(48) + chr(11004 - 10893) + '\061' + '\x30' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101111 + 0o2) + '\066' + chr(575 - 527), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110000) + chr(1780 - 1727), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(0b110010) + '\x33' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1458 - 1410) + '\x6f' + chr(0b110001) + chr(54) + chr(0b11010 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(1102 - 1054) + '\x6f' + chr(1898 - 1847) + '\x31' + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(54) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + chr(2366 - 2315) + '\x36' + chr(0b1101 + 0o51), 52402 - 52394), ehT0Px3KOsy9(chr(126 - 78) + '\x6f' + chr(0b110001) + '\061' + '\x30', 8), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + '\065' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(3062 - 2951) + '\x33' + '\x36' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(91 - 43) + chr(0b101011 + 0o12), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100001 + 0o21) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x37' + '\066', 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(0b110010) + chr(0b110010 + 0o1) + chr(0b101001 + 0o7), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b110001) + chr(0b11011 + 0o26), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11111 + 0o23) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001100 + 0o43) + chr(51) + chr(49) + chr(1678 - 1624), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(2319 - 2269) + chr(0b110101) + '\063', 35296 - 35288), ehT0Px3KOsy9(chr(2275 - 2227) + chr(9021 - 8910) + chr(0b110010) + chr(51) + chr(0b100 + 0o63), 9072 - 9064), ehT0Px3KOsy9(chr(2280 - 2232) + chr(0b1011111 + 0o20) + chr(1368 - 1318) + '\x30' + chr(0b1110 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1011110 + 0o21) + '\061' + '\x32' + chr(0b100011 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(2712 - 2657) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110001) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + chr(597 - 547) + chr(1753 - 1698) + '\066', 8), ehT0Px3KOsy9(chr(1810 - 1762) + chr(111) + chr(50) + chr(0b110110) + chr(729 - 675), 62945 - 62937), ehT0Px3KOsy9(chr(48) + chr(8359 - 8248) + chr(1746 - 1695) + chr(0b101 + 0o60) + chr(1782 - 1729), 0b1000), ehT0Px3KOsy9(chr(1647 - 1599) + chr(3200 - 3089) + '\x33' + chr(2558 - 2507) + '\x30', 0o10), ehT0Px3KOsy9(chr(1707 - 1659) + chr(111) + chr(50) + chr(0b110010) + chr(0b10 + 0o57), 58655 - 58647), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\063' + '\062', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1782 - 1729) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'6'), '\x64' + '\x65' + chr(0b1011000 + 0o13) + chr(0b1101111) + '\144' + '\x65')('\165' + '\164' + chr(0b10 + 0o144) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gBmg1ezIb_IN(oVre8I6UXc3b, GR1581dR5rDS, y3DUDWblcmYa):
Sz7tXxaCGqJ1 = GR1581dR5rDS.strip().split()
zdjj2pRemk_P = []
YW_OY_KTbqSh = []
for YeT3l7JgTbWR in Sz7tXxaCGqJ1:
if YeT3l7JgTbWR in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'l*#\xc3%\x7f\xc1\x86D`-%'), chr(0b101010 + 0o72) + '\145' + chr(0b1000000 + 0o43) + chr(0b1001110 + 0o41) + chr(100) + chr(0b110101 + 0o60))(chr(0b1001110 + 0o47) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b100010 + 0o26))):
WVxHKyX45z_L = oVre8I6UXc3b.tDkWBJzxsakU[YeT3l7JgTbWR]
xafqLlk3kkUe(zdjj2pRemk_P, xafqLlk3kkUe(SXOLrMavuUCe(b'y\x1e8\xf1\tQ'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + '\144' + chr(0b1000 + 0o135))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\055' + '\x38'))(WVxHKyX45z_L)
xafqLlk3kkUe(YW_OY_KTbqSh, xafqLlk3kkUe(SXOLrMavuUCe(b'y\x1e8\xf1\tQ'), chr(6307 - 6207) + chr(0b101 + 0o140) + chr(1863 - 1764) + chr(0b1101111) + '\x64' + chr(3307 - 3206))('\x75' + chr(12244 - 12128) + '\146' + chr(0b11110 + 0o17) + chr(0b111000)))(WVxHKyX45z_L)
else:
xafqLlk3kkUe(zdjj2pRemk_P, xafqLlk3kkUe(SXOLrMavuUCe(b'y\x1e8\xf1\tQ'), chr(100) + chr(7194 - 7093) + '\x63' + '\x6f' + chr(0b10001 + 0o123) + chr(0b1100101))(chr(0b101110 + 0o107) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'l*#\xc3%\x7f\xc1\x86D`-%'), chr(0b1100100) + chr(1564 - 1463) + chr(0b1100011) + chr(0b1011 + 0o144) + chr(0b1100100) + '\145')(chr(117) + '\164' + chr(102) + '\x2d' + chr(0b1100 + 0o54)))[xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'G\x1c-\xe4\x0bT\xd8\x9bhn)\x06'), '\144' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + '\164' + chr(0b1100110) + chr(45) + chr(0b111000)))])
if YeT3l7JgTbWR in y3DUDWblcmYa:
G62bOercceZX = oVre8I6UXc3b.CeyMIoSyrpkQ + y3DUDWblcmYa[YeT3l7JgTbWR]
xafqLlk3kkUe(YW_OY_KTbqSh, xafqLlk3kkUe(SXOLrMavuUCe(b'y\x1e8\xf1\tQ'), '\x64' + chr(3092 - 2991) + chr(99) + chr(0b1100011 + 0o14) + chr(0b1100100) + chr(1059 - 958))(chr(0b1110000 + 0o5) + chr(0b1110100) + chr(102) + chr(0b10100 + 0o31) + chr(56)))(G62bOercceZX)
else:
xafqLlk3kkUe(YW_OY_KTbqSh, xafqLlk3kkUe(SXOLrMavuUCe(b'y\x1e8\xf1\tQ'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1011000 + 0o15))(chr(0b1101010 + 0o13) + '\164' + chr(0b1100110) + chr(0b1100 + 0o41) + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'l*#\xc3%\x7f\xc1\x86D`-%'), '\x64' + chr(101) + chr(0b110011 + 0o60) + chr(111) + '\x64' + chr(0b1100101))('\x75' + chr(116) + '\146' + chr(1254 - 1209) + chr(56)))[xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'G\x1c-\xe4\x0bT\xd8\x9bhn)\x06'), '\144' + chr(8601 - 8500) + '\x63' + chr(0b100 + 0o153) + chr(100) + chr(0b1100101))('\x75' + chr(5910 - 5794) + '\146' + chr(45) + chr(0b111000)))])
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'G\x1c-\xe2\x02G\xc8\x9b'), chr(100) + '\x65' + '\143' + chr(0b1 + 0o156) + chr(0b1100100) + chr(101))('\165' + chr(0b11111 + 0o125) + '\146' + '\x2d' + '\070')):
return (zdjj2pRemk_P[::-ehT0Px3KOsy9(chr(1487 - 1439) + chr(905 - 794) + '\x31', 8)], YW_OY_KTbqSh[::-ehT0Px3KOsy9(chr(48) + chr(1115 - 1004) + chr(0b1100 + 0o45), 8)])
else:
return (zdjj2pRemk_P, YW_OY_KTbqSh)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/pointer_generator_word.py
|
TokenTextEncoderOov.decode_list_oov
|
def decode_list_oov(self, ids, source_oov_id_to_token):
"""decode ids back to tokens, considering OOVs temporary IDs.
Args:
ids: vocab ids. Could possibly include source temporary OOV ID starting
from vocab_size.
source_oov_id_to_token: a list of source OOV tokens, with the order the
same as they appear in the source.
Returns:
decoded tokens, possibly including source OOV tokens.
"""
seq = reversed(ids) if self._reverse else ids
tokens = []
for cur_id in seq:
if cur_id in self._id_to_token:
tokens.append(self._id_to_token[cur_id])
else:
tokens.append(source_oov_id_to_token[cur_id - self.vocab_size])
return tokens
|
python
|
def decode_list_oov(self, ids, source_oov_id_to_token):
"""decode ids back to tokens, considering OOVs temporary IDs.
Args:
ids: vocab ids. Could possibly include source temporary OOV ID starting
from vocab_size.
source_oov_id_to_token: a list of source OOV tokens, with the order the
same as they appear in the source.
Returns:
decoded tokens, possibly including source OOV tokens.
"""
seq = reversed(ids) if self._reverse else ids
tokens = []
for cur_id in seq:
if cur_id in self._id_to_token:
tokens.append(self._id_to_token[cur_id])
else:
tokens.append(source_oov_id_to_token[cur_id - self.vocab_size])
return tokens
|
[
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"[",
"cur_id",
"-",
"self",
".",
"vocab_size",
"]",
")",
"return",
"tokens"
] |
decode ids back to tokens, considering OOVs temporary IDs.
Args:
ids: vocab ids. Could possibly include source temporary OOV ID starting
from vocab_size.
source_oov_id_to_token: a list of source OOV tokens, with the order the
same as they appear in the source.
Returns:
decoded tokens, possibly including source OOV tokens.
|
[
"decode",
"ids",
"back",
"to",
"tokens",
"considering",
"OOVs",
"temporary",
"IDs",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/pointer_generator_word.py#L178-L198
|
train
|
decode ids back to tokens considering OOVs temporary IDs.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + '\061' + '\x37' + '\066', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(615 - 563) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + chr(0b10111 + 0o33) + chr(1978 - 1924) + '\x37', 10582 - 10574), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b100001 + 0o25), 56986 - 56978), ehT0Px3KOsy9(chr(1152 - 1104) + chr(5006 - 4895) + '\061' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(941 - 890) + chr(139 - 91), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b11001 + 0o31) + chr(49 - 1), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(50) + '\063', 22437 - 22429), ehT0Px3KOsy9(chr(872 - 824) + '\157' + chr(0b110001) + '\x31' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1116 - 1064) + chr(765 - 715), 0o10), ehT0Px3KOsy9(chr(496 - 448) + chr(0b1101111) + '\061' + '\060' + chr(1361 - 1307), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1678 - 1627) + chr(0b1001 + 0o51) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b110001) + chr(55), 25575 - 25567), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\062' + '\x30' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b111 + 0o150) + chr(51) + chr(0b110010) + chr(0b101 + 0o60), 8307 - 8299), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(7862 - 7751) + '\061' + chr(650 - 596) + chr(53), 40982 - 40974), ehT0Px3KOsy9(chr(48) + chr(10130 - 10019) + '\062' + chr(0b110000) + chr(1542 - 1491), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b110111) + chr(1518 - 1465), 15744 - 15736), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(890 - 839) + chr(0b100110 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(1841 - 1790) + chr(0b10110 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b111 + 0o54) + '\x30', 8), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + '\x32' + chr(51) + chr(0b10110 + 0o37), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100010 + 0o115) + chr(0b110001) + '\061' + '\061', 57977 - 57969), ehT0Px3KOsy9(chr(398 - 350) + chr(0b101111 + 0o100) + chr(0b110011) + '\x36' + chr(0b110010), 8079 - 8071), ehT0Px3KOsy9(chr(1588 - 1540) + chr(111) + chr(1900 - 1851) + '\x35' + '\067', 59984 - 59976), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\066' + chr(50), 1747 - 1739), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(867 - 815) + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + chr(0b110010 + 0o0) + '\061' + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + '\x31' + chr(0b110100) + chr(0b11101 + 0o26), 220 - 212), ehT0Px3KOsy9(chr(48) + chr(2723 - 2612) + chr(50) + chr(0b110101) + chr(1117 - 1064), 25567 - 25559), ehT0Px3KOsy9('\060' + '\x6f' + '\065' + chr(0b10100 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(3635 - 3524) + chr(0b110010 + 0o0) + '\064' + '\x33', 8), ehT0Px3KOsy9(chr(1637 - 1589) + chr(0b1101111) + chr(0b101110 + 0o5) + chr(2504 - 2453) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\064' + chr(0b11101 + 0o25), 8), ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + chr(1646 - 1595) + '\061' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(120 - 72) + chr(111) + chr(49) + chr(52) + chr(520 - 472), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(53) + chr(869 - 814), 5126 - 5118), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x33' + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2267 - 2217) + chr(2592 - 2538) + chr(394 - 345), 61812 - 61804), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11111 + 0o24) + chr(0b101101 + 0o5), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(53) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'P'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(6895 - 6784) + chr(0b10 + 0o142) + chr(0b1100101))(chr(4284 - 4167) + '\164' + chr(0b1001100 + 0o32) + chr(0b101101) + chr(1776 - 1720)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def IP5mINIz0zy7(oVre8I6UXc3b, zdjj2pRemk_P, mWJcCzeKWD0e):
Rg74y3xRYTKF = RFiwrCZH9Ie6(zdjj2pRemk_P) if oVre8I6UXc3b._reverse else zdjj2pRemk_P
Sz7tXxaCGqJ1 = []
for D631qEGGez5V in Rg74y3xRYTKF:
if D631qEGGez5V in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b';\xc0\xc3OzS\x14\xab\x1bl\t\x8f'), chr(0b10100 + 0o120) + chr(3563 - 3462) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1100001 + 0o23) + chr(0b1100110) + chr(0b101101) + chr(0b101111 + 0o11))):
xafqLlk3kkUe(Sz7tXxaCGqJ1, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f\xd3\xc7ka|'), '\144' + '\x65' + chr(0b1100011) + chr(0b1011110 + 0o21) + chr(0b110110 + 0o56) + chr(5426 - 5325))(chr(117) + '\x74' + '\x66' + chr(45) + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b';\xc0\xc3OzS\x14\xab\x1bl\t\x8f'), '\x64' + chr(0b1100101) + chr(99) + '\157' + chr(100) + chr(101))('\165' + '\x74' + '\x66' + chr(0b100010 + 0o13) + '\x38'))[D631qEGGez5V])
else:
xafqLlk3kkUe(Sz7tXxaCGqJ1, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f\xd3\xc7ka|'), chr(0b1100100) + chr(6533 - 6432) + chr(7166 - 7067) + chr(0b1101111) + chr(0b1011001 + 0o13) + '\x65')(chr(0b1100001 + 0o24) + chr(3919 - 3803) + '\146' + '\055' + chr(56)))(mWJcCzeKWD0e[D631qEGGez5V - xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'=\xc6\xceCFw\x03\xea=R-\x81'), chr(0b1111 + 0o125) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(5321 - 5221) + chr(7489 - 7388))(chr(7915 - 7798) + chr(0b1110100) + '\146' + '\x2d' + '\x38'))])
return Sz7tXxaCGqJ1
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/vqa_utils.py
|
_smallest_size_at_least
|
def _smallest_size_at_least(height, width, smallest_side):
"""Computes new shape with the smallest side equal to `smallest_side`.
Computes new shape with the smallest side equal to `smallest_side` while
preserving the original aspect ratio.
Args:
height: an int32 scalar tensor indicating the current height.
width: an int32 scalar tensor indicating the current width.
smallest_side: A python integer or scalar `Tensor` indicating the size of
the smallest side after resize.
Returns:
new_height: an int32 scalar tensor indicating the new height.
new_width: and int32 scalar tensor indicating the new width.
"""
smallest_side = tf.convert_to_tensor(smallest_side, dtype=tf.int32)
height = tf.to_float(height)
width = tf.to_float(width)
smallest_side = tf.to_float(smallest_side)
scale = tf.cond(
tf.greater(height, width), lambda: smallest_side / width,
lambda: smallest_side / height)
new_height = tf.to_int32(height * scale)
new_width = tf.to_int32(width * scale)
return new_height, new_width
|
python
|
def _smallest_size_at_least(height, width, smallest_side):
"""Computes new shape with the smallest side equal to `smallest_side`.
Computes new shape with the smallest side equal to `smallest_side` while
preserving the original aspect ratio.
Args:
height: an int32 scalar tensor indicating the current height.
width: an int32 scalar tensor indicating the current width.
smallest_side: A python integer or scalar `Tensor` indicating the size of
the smallest side after resize.
Returns:
new_height: an int32 scalar tensor indicating the new height.
new_width: and int32 scalar tensor indicating the new width.
"""
smallest_side = tf.convert_to_tensor(smallest_side, dtype=tf.int32)
height = tf.to_float(height)
width = tf.to_float(width)
smallest_side = tf.to_float(smallest_side)
scale = tf.cond(
tf.greater(height, width), lambda: smallest_side / width,
lambda: smallest_side / height)
new_height = tf.to_int32(height * scale)
new_width = tf.to_int32(width * scale)
return new_height, new_width
|
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] |
Computes new shape with the smallest side equal to `smallest_side`.
Computes new shape with the smallest side equal to `smallest_side` while
preserving the original aspect ratio.
Args:
height: an int32 scalar tensor indicating the current height.
width: an int32 scalar tensor indicating the current width.
smallest_side: A python integer or scalar `Tensor` indicating the size of
the smallest side after resize.
Returns:
new_height: an int32 scalar tensor indicating the new height.
new_width: and int32 scalar tensor indicating the new width.
|
[
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"with",
"the",
"smallest",
"side",
"equal",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/vqa_utils.py#L36-L63
|
train
|
Computes new shape with the smallest side equal to smallest_side.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(4372 - 4261) + chr(0b100011 + 0o17) + chr(51) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\x37' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1240 - 1192) + chr(0b1101111) + chr(0b110 + 0o54) + chr(0b11 + 0o60) + chr(1020 - 970), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2328 - 2276) + '\062', 63140 - 63132), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\066' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\x30' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(8630 - 8519) + '\x32' + chr(0b110111) + chr(0b110010), 61181 - 61173), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(49) + chr(1272 - 1217) + '\x36', 1703 - 1695), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(897 - 786) + chr(49) + chr(55) + chr(453 - 401), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\067' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110011) + chr(0b110 + 0o54), 55285 - 55277), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1428 - 1377) + chr(49) + chr(0b110011), 22341 - 22333), ehT0Px3KOsy9('\060' + '\157' + chr(0b11011 + 0o30) + '\x30' + '\064', 46784 - 46776), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(0b11 + 0o56) + chr(0b1101 + 0o43) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(264 - 209) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1100 + 0o46) + chr(0b100001 + 0o25) + '\x33', 52804 - 52796), ehT0Px3KOsy9('\060' + '\x6f' + chr(915 - 865) + chr(1468 - 1419) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1541 - 1493) + chr(3887 - 3776) + chr(0b110011) + chr(55) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(0b110010) + chr(48) + '\061', 25026 - 25018), ehT0Px3KOsy9(chr(48) + chr(111) + '\x35' + '\x34', 42929 - 42921), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\067' + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\065' + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\x31' + '\063', 46635 - 46627), ehT0Px3KOsy9(chr(48) + chr(1245 - 1134) + chr(51) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\062' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + '\x35' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1011100 + 0o23) + '\063' + chr(0b1011 + 0o53) + chr(0b110000 + 0o3), 38338 - 38330), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + '\061' + chr(48) + '\064', 58716 - 58708), ehT0Px3KOsy9(chr(1709 - 1661) + '\x6f' + '\063' + chr(51) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110001) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(612 - 564) + chr(0b1011000 + 0o27) + chr(0b110010) + chr(53) + chr(1546 - 1497), 0o10), ehT0Px3KOsy9(chr(992 - 944) + chr(3566 - 3455) + chr(0b110011) + '\067' + chr(2349 - 2296), 8), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b10011 + 0o134) + '\x31' + chr(51) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + '\062' + '\x31' + chr(1051 - 999), 0b1000), ehT0Px3KOsy9('\x30' + chr(866 - 755) + '\063' + '\064' + chr(0b10111 + 0o35), 0o10), ehT0Px3KOsy9(chr(2235 - 2187) + '\157' + chr(0b10001 + 0o41) + chr(54), 27276 - 27268), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1100 + 0o47) + chr(0b110110) + chr(51), 8), ehT0Px3KOsy9(chr(1946 - 1898) + '\157' + chr(49) + chr(0b110100) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110000) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(0b11111 + 0o30) + chr(0b0 + 0o64), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1 + 0o64) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5'), chr(2518 - 2418) + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\144' + chr(101))(chr(0b111110 + 0o67) + chr(0b1110100) + chr(102) + chr(0b100 + 0o51) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def yCAoij3Ph4X4(ehbUULKuygfC, mPx09rBTrGXR, Hs3lqOPvwvwR):
Hs3lqOPvwvwR = IDJ2eXGCBCDu.convert_to_tensor(Hs3lqOPvwvwR, dtype=IDJ2eXGCBCDu.int32)
ehbUULKuygfC = IDJ2eXGCBCDu.ZUL3kHBGU8Uu(ehbUULKuygfC)
mPx09rBTrGXR = IDJ2eXGCBCDu.ZUL3kHBGU8Uu(mPx09rBTrGXR)
Hs3lqOPvwvwR = IDJ2eXGCBCDu.ZUL3kHBGU8Uu(Hs3lqOPvwvwR)
xjPLimsZRgb9 = IDJ2eXGCBCDu.cond(IDJ2eXGCBCDu.greater(ehbUULKuygfC, mPx09rBTrGXR), lambda : Hs3lqOPvwvwR / mPx09rBTrGXR, lambda : Hs3lqOPvwvwR / ehbUULKuygfC)
sYQbo8r3TZRt = IDJ2eXGCBCDu.to_int32(ehbUULKuygfC * xjPLimsZRgb9)
JwSNrmTEDjEC = IDJ2eXGCBCDu.to_int32(mPx09rBTrGXR * xjPLimsZRgb9)
return (sYQbo8r3TZRt, JwSNrmTEDjEC)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/vqa_utils.py
|
_aspect_preserving_resize
|
def _aspect_preserving_resize(image, smallest_side):
"""Resize images preserving the original aspect ratio.
Args:
image: A 3-D image `Tensor`.
smallest_side: A python integer or scalar `Tensor` indicating the size of
the smallest side after resize.
Returns:
resized_image: A 3-D tensor containing the resized image.
"""
smallest_side = tf.convert_to_tensor(smallest_side, dtype=tf.int32)
shape = tf.shape(image)
height = shape[0]
width = shape[1]
new_height, new_width = _smallest_size_at_least(height, width, smallest_side)
image = tf.expand_dims(image, 0)
resized_image = tf.image.resize_images(
image, size=[new_height, new_width], method=tf.image.ResizeMethod.BICUBIC)
resized_image = tf.squeeze(resized_image)
resized_image.set_shape([None, None, 3])
return resized_image
|
python
|
def _aspect_preserving_resize(image, smallest_side):
"""Resize images preserving the original aspect ratio.
Args:
image: A 3-D image `Tensor`.
smallest_side: A python integer or scalar `Tensor` indicating the size of
the smallest side after resize.
Returns:
resized_image: A 3-D tensor containing the resized image.
"""
smallest_side = tf.convert_to_tensor(smallest_side, dtype=tf.int32)
shape = tf.shape(image)
height = shape[0]
width = shape[1]
new_height, new_width = _smallest_size_at_least(height, width, smallest_side)
image = tf.expand_dims(image, 0)
resized_image = tf.image.resize_images(
image, size=[new_height, new_width], method=tf.image.ResizeMethod.BICUBIC)
resized_image = tf.squeeze(resized_image)
resized_image.set_shape([None, None, 3])
return resized_image
|
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] |
Resize images preserving the original aspect ratio.
Args:
image: A 3-D image `Tensor`.
smallest_side: A python integer or scalar `Tensor` indicating the size of
the smallest side after resize.
Returns:
resized_image: A 3-D tensor containing the resized image.
|
[
"Resize",
"images",
"preserving",
"the",
"original",
"aspect",
"ratio",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/vqa_utils.py#L66-L89
|
train
|
Resize images preserving the original aspect ratio.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1307 - 1256) + chr(1041 - 987) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + '\x35' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2409 - 2358) + '\x30' + chr(1510 - 1455), 0b1000), ehT0Px3KOsy9('\060' + chr(4866 - 4755) + chr(346 - 296) + chr(2100 - 2047) + chr(1366 - 1316), 0b1000), ehT0Px3KOsy9(chr(1274 - 1226) + chr(0b1101111) + '\x31' + chr(247 - 196) + chr(0b10100 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(1669 - 1620) + '\x34', 3037 - 3029), ehT0Px3KOsy9(chr(991 - 943) + chr(0b1101111) + chr(0b110011) + chr(0b110100) + chr(50), 0o10), ehT0Px3KOsy9(chr(170 - 122) + chr(9050 - 8939) + chr(0b110010) + chr(1026 - 975) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\x34' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + '\062' + '\x37' + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1805 - 1756) + chr(1137 - 1089) + chr(460 - 406), 33250 - 33242), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x33' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110101) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(8466 - 8355) + chr(0b110010) + chr(0b101001 + 0o15) + chr(49), 12340 - 12332), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(1925 - 1875) + chr(0b110000) + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + chr(0b110001) + chr(48) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110100) + chr(52), 3380 - 3372), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + chr(0b110000 + 0o1) + chr(54) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110110) + chr(1807 - 1755), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101010 + 0o5) + chr(1119 - 1070) + chr(53) + chr(0b1010 + 0o54), 25927 - 25919), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(48) + chr(0b10111 + 0o33), 13857 - 13849), ehT0Px3KOsy9('\x30' + chr(2328 - 2217) + '\063' + chr(0b100011 + 0o23) + chr(0b110101), 8), ehT0Px3KOsy9(chr(934 - 886) + '\x6f' + chr(50) + '\x30' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1997 - 1949) + chr(111) + chr(1585 - 1536) + chr(0b11000 + 0o36) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b0 + 0o157) + '\x31' + '\x31' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1794 - 1745) + chr(52) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1051 - 1000) + chr(51) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x32' + '\063', 3589 - 3581), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1143 - 1089) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x36' + chr(1727 - 1678), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\x35' + chr(0b10100 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(409 - 361) + '\x6f' + chr(664 - 613) + chr(0b100111 + 0o13) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(0b110011) + '\x32' + chr(2535 - 2482), 8), ehT0Px3KOsy9(chr(48) + chr(1256 - 1145) + '\x31' + chr(0b110001) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + '\x33' + '\067' + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(53) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1295 - 1247) + chr(0b1101011 + 0o4) + chr(2292 - 2241) + '\x33' + '\x33', 46235 - 46227), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + '\x32' + chr(1977 - 1929) + chr(1818 - 1766), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101011 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101001 + 0o106) + chr(0b110010) + chr(2144 - 2095) + '\063', 14534 - 14526)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(728 - 675) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb'), chr(4105 - 4005) + chr(0b100011 + 0o102) + '\x63' + chr(111) + chr(100) + chr(0b1100101))('\x75' + '\x74' + chr(0b1000001 + 0o45) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def fxz2GNxMuxyz(IdmAHWfCqrnp, Hs3lqOPvwvwR):
Hs3lqOPvwvwR = IDJ2eXGCBCDu.convert_to_tensor(Hs3lqOPvwvwR, dtype=IDJ2eXGCBCDu.int32)
nauYfLglTpcb = IDJ2eXGCBCDu.nauYfLglTpcb(IdmAHWfCqrnp)
ehbUULKuygfC = nauYfLglTpcb[ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101011 + 0o5), 8)]
mPx09rBTrGXR = nauYfLglTpcb[ehT0Px3KOsy9('\060' + '\x6f' + chr(1589 - 1540), 19078 - 19070)]
(sYQbo8r3TZRt, JwSNrmTEDjEC) = yCAoij3Ph4X4(ehbUULKuygfC, mPx09rBTrGXR, Hs3lqOPvwvwR)
IdmAHWfCqrnp = IDJ2eXGCBCDu.expand_dims(IdmAHWfCqrnp, ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1273 - 1225), 8))
Obu9kuWCST30 = IDJ2eXGCBCDu.image.resize_images(IdmAHWfCqrnp, size=[sYQbo8r3TZRt, JwSNrmTEDjEC], method=IDJ2eXGCBCDu.image.ResizeMethod.BICUBIC)
Obu9kuWCST30 = IDJ2eXGCBCDu.squeeze(Obu9kuWCST30)
xafqLlk3kkUe(Obu9kuWCST30, xafqLlk3kkUe(SXOLrMavuUCe(b'\x86L\xb3\xf5)d\x83\xed\x07'), '\x64' + '\x65' + chr(0b111101 + 0o46) + '\x6f' + chr(0b1100100) + chr(0b1000111 + 0o36))('\165' + chr(0b1110100) + '\x66' + '\x2d' + '\x38'))([None, None, ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + '\063', 0b1000)])
return Obu9kuWCST30
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/vqa_utils.py
|
_distort_color
|
def _distort_color(image, color_ordering=0, scope=None):
"""Distort the color of a Tensor image.
Each color distortion is non-commutative and thus ordering of the color ops
matters. Ideally we would randomly permute the ordering of the color ops.
Rather then adding that level of complication, we select a distinct ordering
of color ops for each preprocessing thread.
Args:
image: 3-D Tensor containing single image in [0, 1].
color_ordering: Python int, a type of distortion (valid values: 0-3).
scope: Optional scope for name_scope.
Returns:
3-D Tensor color-distorted image on range [0, 1]
Raises:
ValueError: if color_ordering not in [0, 3]
"""
with tf.name_scope(scope, "distort_color", [image]):
if color_ordering == 0:
image = tf.image.random_brightness(image, max_delta=32. / 255.)
image = tf.image.random_saturation(image, lower=0.5, upper=1.5)
image = tf.image.random_hue(image, max_delta=0.2)
image = tf.image.random_contrast(image, lower=0.5, upper=1.5)
elif color_ordering == 1:
image = tf.image.random_saturation(image, lower=0.5, upper=1.5)
image = tf.image.random_brightness(image, max_delta=32. / 255.)
image = tf.image.random_contrast(image, lower=0.5, upper=1.5)
image = tf.image.random_hue(image, max_delta=0.2)
elif color_ordering == 2:
image = tf.image.random_contrast(image, lower=0.5, upper=1.5)
image = tf.image.random_hue(image, max_delta=0.2)
image = tf.image.random_brightness(image, max_delta=32. / 255.)
image = tf.image.random_saturation(image, lower=0.5, upper=1.5)
elif color_ordering == 3:
image = tf.image.random_hue(image, max_delta=0.2)
image = tf.image.random_saturation(image, lower=0.5, upper=1.5)
image = tf.image.random_contrast(image, lower=0.5, upper=1.5)
image = tf.image.random_brightness(image, max_delta=32. / 255.)
else:
raise ValueError("color_ordering must be in [0, 3]")
# The random_* ops do not necessarily clamp.
return tf.clip_by_value(image, 0.0, 1.0)
|
python
|
def _distort_color(image, color_ordering=0, scope=None):
"""Distort the color of a Tensor image.
Each color distortion is non-commutative and thus ordering of the color ops
matters. Ideally we would randomly permute the ordering of the color ops.
Rather then adding that level of complication, we select a distinct ordering
of color ops for each preprocessing thread.
Args:
image: 3-D Tensor containing single image in [0, 1].
color_ordering: Python int, a type of distortion (valid values: 0-3).
scope: Optional scope for name_scope.
Returns:
3-D Tensor color-distorted image on range [0, 1]
Raises:
ValueError: if color_ordering not in [0, 3]
"""
with tf.name_scope(scope, "distort_color", [image]):
if color_ordering == 0:
image = tf.image.random_brightness(image, max_delta=32. / 255.)
image = tf.image.random_saturation(image, lower=0.5, upper=1.5)
image = tf.image.random_hue(image, max_delta=0.2)
image = tf.image.random_contrast(image, lower=0.5, upper=1.5)
elif color_ordering == 1:
image = tf.image.random_saturation(image, lower=0.5, upper=1.5)
image = tf.image.random_brightness(image, max_delta=32. / 255.)
image = tf.image.random_contrast(image, lower=0.5, upper=1.5)
image = tf.image.random_hue(image, max_delta=0.2)
elif color_ordering == 2:
image = tf.image.random_contrast(image, lower=0.5, upper=1.5)
image = tf.image.random_hue(image, max_delta=0.2)
image = tf.image.random_brightness(image, max_delta=32. / 255.)
image = tf.image.random_saturation(image, lower=0.5, upper=1.5)
elif color_ordering == 3:
image = tf.image.random_hue(image, max_delta=0.2)
image = tf.image.random_saturation(image, lower=0.5, upper=1.5)
image = tf.image.random_contrast(image, lower=0.5, upper=1.5)
image = tf.image.random_brightness(image, max_delta=32. / 255.)
else:
raise ValueError("color_ordering must be in [0, 3]")
# The random_* ops do not necessarily clamp.
return tf.clip_by_value(image, 0.0, 1.0)
|
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")",
"else",
":",
"raise",
"ValueError",
"(",
"\"color_ordering must be in [0, 3]\"",
")",
"# The random_* ops do not necessarily clamp.",
"return",
"tf",
".",
"clip_by_value",
"(",
"image",
",",
"0.0",
",",
"1.0",
")"
] |
Distort the color of a Tensor image.
Each color distortion is non-commutative and thus ordering of the color ops
matters. Ideally we would randomly permute the ordering of the color ops.
Rather then adding that level of complication, we select a distinct ordering
of color ops for each preprocessing thread.
Args:
image: 3-D Tensor containing single image in [0, 1].
color_ordering: Python int, a type of distortion (valid values: 0-3).
scope: Optional scope for name_scope.
Returns:
3-D Tensor color-distorted image on range [0, 1]
Raises:
ValueError: if color_ordering not in [0, 3]
|
[
"Distort",
"the",
"color",
"of",
"a",
"Tensor",
"image",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/vqa_utils.py#L98-L140
|
train
|
Distort the color of a Tensor image.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1762 - 1714) + chr(0b1101111) + chr(0b110010) + chr(0b11011 + 0o33) + chr(55), 64902 - 64894), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\061' + chr(0b110001), 8777 - 8769), ehT0Px3KOsy9(chr(242 - 194) + chr(0b1001110 + 0o41) + '\065' + chr(1254 - 1206), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110100 + 0o73) + chr(0b11011 + 0o30) + chr(0b110010) + chr(0b100101 + 0o22), 17440 - 17432), ehT0Px3KOsy9(chr(0b110000) + chr(0b111000 + 0o67) + chr(50) + chr(0b110001) + '\061', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(1527 - 1477) + '\065', 19702 - 19694), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b1101 + 0o45) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\x30', 21587 - 21579), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(55) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(1197 - 1149) + chr(0b1101111) + '\066' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(54) + chr(2904 - 2849), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1553 - 1502) + chr(52), 44744 - 44736), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(55) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(1879 - 1830) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4541 - 4430) + chr(50) + chr(0b101001 + 0o12), 0o10), ehT0Px3KOsy9(chr(202 - 154) + chr(3325 - 3214) + '\x32' + chr(0b110110) + chr(0b100 + 0o63), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(533 - 482) + '\065' + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(448 - 337) + chr(0b110011) + chr(51) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(51) + chr(2358 - 2306) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3172 - 3061) + chr(0b100010 + 0o21) + '\067' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(49) + '\x30' + chr(0b10001 + 0o37), 17540 - 17532), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b100100 + 0o21) + '\x33', 51519 - 51511), ehT0Px3KOsy9(chr(741 - 693) + chr(6067 - 5956) + chr(0b110011) + chr(0b110000), 46106 - 46098), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(763 - 652) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101101 + 0o6), 8), ehT0Px3KOsy9('\060' + chr(1330 - 1219) + chr(111 - 58) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x37' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(50) + chr(52) + chr(0b110111), 18080 - 18072), ehT0Px3KOsy9(chr(1106 - 1058) + '\x6f' + '\x33' + chr(1949 - 1894) + '\065', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(0b1011 + 0o52) + '\064', 63451 - 63443), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\x33' + chr(0b100101 + 0o22) + chr(0b101001 + 0o10), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b100011 + 0o15) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(7883 - 7772) + chr(0b11010 + 0o27) + '\x35' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b110 + 0o53) + chr(701 - 653) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(1874 - 1819) + chr(731 - 681), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + '\062' + chr(0b11001 + 0o27) + chr(0b111 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\060' + '\066', 1024 - 1016), ehT0Px3KOsy9('\x30' + chr(0b111101 + 0o62) + chr(0b110001) + chr(0b101100 + 0o7) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1111 + 0o43) + chr(2472 - 2419) + '\061', 0b1000), ehT0Px3KOsy9(chr(1928 - 1880) + chr(0b1101111) + chr(1637 - 1587) + '\x36' + '\x30', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(53) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x99'), '\x64' + chr(0b1100101) + chr(9679 - 9580) + '\157' + chr(0b1100100) + chr(0b1100101))('\165' + '\x74' + chr(0b100001 + 0o105) + chr(0b10111 + 0o26) + chr(0b101001 + 0o17)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mlJj7kopXTK8(IdmAHWfCqrnp, YDQ6gKnjOvMB=ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x30', 22788 - 22780), CJBHNoj4zKoT=None):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9\xe8E\xb2\xd6f3\x7f\x0eU'), '\x64' + chr(0b111 + 0o136) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(101))(chr(462 - 345) + chr(116) + '\146' + chr(1170 - 1125) + '\070'))(CJBHNoj4zKoT, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xe0[\xa3\xe6g$O\x1d_[s\xc8'), chr(246 - 146) + '\x65' + '\143' + chr(0b1 + 0o156) + chr(0b1100100) + chr(0b10011 + 0o122))(chr(0b1001110 + 0o47) + '\x74' + chr(102) + chr(361 - 316) + chr(0b1100 + 0o54)), [IdmAHWfCqrnp]):
if YDQ6gKnjOvMB == ehT0Px3KOsy9(chr(48) + chr(111) + '\x30', 8):
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_brightness(IdmAHWfCqrnp, max_delta=32.0 / 255.0)
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_saturation(IdmAHWfCqrnp, lower=0.5, upper=1.5)
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_hue(IdmAHWfCqrnp, max_delta=0.2)
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_contrast(IdmAHWfCqrnp, lower=0.5, upper=1.5)
elif YDQ6gKnjOvMB == ehT0Px3KOsy9('\x30' + '\x6f' + chr(905 - 856), 47406 - 47398):
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_saturation(IdmAHWfCqrnp, lower=0.5, upper=1.5)
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_brightness(IdmAHWfCqrnp, max_delta=32.0 / 255.0)
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_contrast(IdmAHWfCqrnp, lower=0.5, upper=1.5)
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_hue(IdmAHWfCqrnp, max_delta=0.2)
elif YDQ6gKnjOvMB == ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + '\x32', 0b1000):
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_contrast(IdmAHWfCqrnp, lower=0.5, upper=1.5)
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_hue(IdmAHWfCqrnp, max_delta=0.2)
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_brightness(IdmAHWfCqrnp, max_delta=32.0 / 255.0)
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_saturation(IdmAHWfCqrnp, lower=0.5, upper=1.5)
elif YDQ6gKnjOvMB == ehT0Px3KOsy9('\060' + '\157' + chr(51), 8):
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_hue(IdmAHWfCqrnp, max_delta=0.2)
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_saturation(IdmAHWfCqrnp, lower=0.5, upper=1.5)
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_contrast(IdmAHWfCqrnp, lower=0.5, upper=1.5)
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.random_brightness(IdmAHWfCqrnp, max_delta=32.0 / 255.0)
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xe6D\xb8\xfbJ?b\x1aUEu\xd4+3\xda\x9c\xaa\x92\xdc"\xce8jm\re\x97\xd1\x0c\xca\x99'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + chr(100) + '\145')(chr(0b1011010 + 0o33) + chr(116) + chr(102) + chr(1810 - 1765) + '\x38'))
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xe5A\xa7\xd6w)O\x08Q[i\xdf'), '\144' + chr(0b1010100 + 0o21) + chr(0b1100011) + chr(0b1001010 + 0o45) + '\144' + chr(0b1100101))('\165' + '\x74' + chr(102) + chr(45) + chr(892 - 836)))(IdmAHWfCqrnp, 0.0, 1.0)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/vqa_utils.py
|
_apply_with_random_selector
|
def _apply_with_random_selector(x, func, num_cases):
"""Computes func(x, sel), with sel sampled from [0...num_cases-1].
Args:
x: input Tensor.
func: Python function to apply.
num_cases: Python int32, number of cases to sample sel from.
Returns:
The result of func(x, sel), where func receives the value of the
selector as a python integer, but sel is sampled dynamically.
"""
sel = tf.random_uniform([], maxval=num_cases, dtype=tf.int32)
# Pass the real x only to one of the func calls.
return control_flow_ops.merge([
func(control_flow_ops.switch(x, tf.equal(sel, case))[1], case)
for case in range(num_cases)
])[0]
|
python
|
def _apply_with_random_selector(x, func, num_cases):
"""Computes func(x, sel), with sel sampled from [0...num_cases-1].
Args:
x: input Tensor.
func: Python function to apply.
num_cases: Python int32, number of cases to sample sel from.
Returns:
The result of func(x, sel), where func receives the value of the
selector as a python integer, but sel is sampled dynamically.
"""
sel = tf.random_uniform([], maxval=num_cases, dtype=tf.int32)
# Pass the real x only to one of the func calls.
return control_flow_ops.merge([
func(control_flow_ops.switch(x, tf.equal(sel, case))[1], case)
for case in range(num_cases)
])[0]
|
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] |
Computes func(x, sel), with sel sampled from [0...num_cases-1].
Args:
x: input Tensor.
func: Python function to apply.
num_cases: Python int32, number of cases to sample sel from.
Returns:
The result of func(x, sel), where func receives the value of the
selector as a python integer, but sel is sampled dynamically.
|
[
"Computes",
"func",
"(",
"x",
"sel",
")",
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"sel",
"sampled",
"from",
"[",
"0",
"...",
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"-",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/vqa_utils.py#L143-L160
|
train
|
Applies func to x with random selector.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1598 - 1550) + chr(6468 - 6357) + '\x31' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + chr(55) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(908 - 860) + chr(0b111100 + 0o63) + chr(0b1100 + 0o45) + '\x34' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110110) + chr(0b110100), 46691 - 46683), ehT0Px3KOsy9(chr(0b110000) + chr(2939 - 2828) + '\x31' + chr(0b11011 + 0o25), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x37' + '\x33', 52450 - 52442), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + '\063' + chr(0b110100) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\064' + chr(307 - 254), 63504 - 63496), ehT0Px3KOsy9(chr(538 - 490) + chr(0b1101111) + chr(0b100 + 0o55) + '\060' + chr(0b0 + 0o62), 46737 - 46729), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\x31' + chr(865 - 810) + '\063', 63653 - 63645), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(6984 - 6873) + '\x36' + chr(0b110010 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(446 - 398) + chr(0b1101111) + '\x33' + chr(52) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\x32' + chr(0b100 + 0o54), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + '\x31' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(2430 - 2380) + '\067' + '\x30', 23498 - 23490), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\064' + '\062', 0o10), ehT0Px3KOsy9(chr(1603 - 1555) + chr(0b10 + 0o155) + chr(0b110011) + chr(50) + chr(810 - 759), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\063' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(0b110000 + 0o3) + chr(823 - 768) + chr(0b101010 + 0o14), 0b1000), ehT0Px3KOsy9(chr(1970 - 1922) + chr(0b1000110 + 0o51) + '\061' + chr(0b100001 + 0o21) + '\064', 0o10), ehT0Px3KOsy9(chr(295 - 247) + chr(0b1101111) + '\063' + chr(0b110001 + 0o4) + '\x31', 0o10), ehT0Px3KOsy9(chr(1646 - 1598) + '\157' + chr(1238 - 1187) + '\x32' + '\064', 34488 - 34480), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10111 + 0o34) + chr(0b110000) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + '\x32' + chr(0b110111) + chr(2371 - 2321), 27667 - 27659), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b110001) + chr(0b11011 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3408 - 3297) + chr(1725 - 1676) + chr(1670 - 1619) + chr(0b110111), 59643 - 59635), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1950 - 1899) + '\x31' + '\x36', 33116 - 33108), ehT0Px3KOsy9(chr(48) + chr(0b1001010 + 0o45) + chr(50) + '\062' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(55) + chr(0b101010 + 0o13), 34212 - 34204), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + '\x32' + chr(0b11000 + 0o34) + chr(0b111 + 0o52), 63079 - 63071), ehT0Px3KOsy9(chr(2303 - 2255) + chr(0b1101111) + chr(52) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(53) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(49), 54372 - 54364), ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + chr(50) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(613 - 502) + chr(55), 61016 - 61008), ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + '\063' + chr(0b110000) + '\067', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11741 - 11630) + '\062' + chr(1635 - 1584) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b10000 + 0o40) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(11457 - 11346) + chr(49) + chr(889 - 840) + chr(0b101011 + 0o11), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(4175 - 4064) + chr(0b110 + 0o57) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'#'), chr(100) + chr(101) + chr(299 - 200) + chr(0b1101111) + '\x64' + '\145')('\x75' + chr(116) + '\x66' + chr(0b11010 + 0o23) + chr(214 - 158)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def z_k6JFPHsnty(OeWW0F1dBPRQ, EzOtJ3kbK5x4, RQGDCQnkvRz1):
l5III7jgLmWx = IDJ2eXGCBCDu.random_uniform([], maxval=RQGDCQnkvRz1, dtype=IDJ2eXGCBCDu.int32)
return xafqLlk3kkUe(yY3Ejlz44uQK, xafqLlk3kkUe(SXOLrMavuUCe(b'`nR\xd88\x9f\xb5M\x00\x10A\x92'), chr(100) + '\x65' + chr(99) + chr(0b1101111) + chr(8415 - 8315) + chr(0b1100101))(chr(0b10110 + 0o137) + chr(0b1100010 + 0o22) + chr(9200 - 9098) + chr(0b101101) + chr(1266 - 1210)))([EzOtJ3kbK5x4(xafqLlk3kkUe(yY3Ejlz44uQK, xafqLlk3kkUe(SXOLrMavuUCe(b'~I\x0e\xc0k\x93'), chr(0b1100100) + '\145' + chr(9363 - 9264) + '\x6f' + '\x64' + chr(7325 - 7224))('\x75' + '\x74' + '\146' + chr(45) + '\x38'))(OeWW0F1dBPRQ, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'hO\x12\xd5d'), chr(0b101110 + 0o66) + chr(0b11000 + 0o115) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))(l5III7jgLmWx, ZbxW_0DnQGcj))[ehT0Px3KOsy9(chr(170 - 122) + chr(7810 - 7699) + '\x31', 0b1000)], ZbxW_0DnQGcj) for ZbxW_0DnQGcj in vQr8gNKaIaWE(RQGDCQnkvRz1)])[ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + chr(999 - 951), ord("\x08"))]
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/vqa_utils.py
|
_mean_image_subtraction
|
def _mean_image_subtraction(image, means):
"""Subtracts the given means from each image channel.
For example:
means = [123.68, 116.779, 103.939]
image = _mean_image_subtraction(image, means)
Note that the rank of `image` must be known.
Args:
image: a tensor of size [height, width, C].
means: a C-vector of values to subtract from each channel.
Returns:
the centered image.
Raises:
ValueError: If the rank of `image` is unknown, if `image` has a rank other
than three or if the number of channels in `image` doesn't match the
number of values in `means`.
"""
if image.get_shape().ndims != 3:
raise ValueError("Input must be of size [height, width, C>0]")
num_channels = image.get_shape().as_list()[-1]
if len(means) != num_channels:
raise ValueError("len(means) must match the number of channels")
channels = tf.split(axis=2, num_or_size_splits=num_channels, value=image)
for i in range(num_channels):
channels[i] -= means[i]
return tf.concat(axis=2, values=channels)
|
python
|
def _mean_image_subtraction(image, means):
"""Subtracts the given means from each image channel.
For example:
means = [123.68, 116.779, 103.939]
image = _mean_image_subtraction(image, means)
Note that the rank of `image` must be known.
Args:
image: a tensor of size [height, width, C].
means: a C-vector of values to subtract from each channel.
Returns:
the centered image.
Raises:
ValueError: If the rank of `image` is unknown, if `image` has a rank other
than three or if the number of channels in `image` doesn't match the
number of values in `means`.
"""
if image.get_shape().ndims != 3:
raise ValueError("Input must be of size [height, width, C>0]")
num_channels = image.get_shape().as_list()[-1]
if len(means) != num_channels:
raise ValueError("len(means) must match the number of channels")
channels = tf.split(axis=2, num_or_size_splits=num_channels, value=image)
for i in range(num_channels):
channels[i] -= means[i]
return tf.concat(axis=2, values=channels)
|
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] |
Subtracts the given means from each image channel.
For example:
means = [123.68, 116.779, 103.939]
image = _mean_image_subtraction(image, means)
Note that the rank of `image` must be known.
Args:
image: a tensor of size [height, width, C].
means: a C-vector of values to subtract from each channel.
Returns:
the centered image.
Raises:
ValueError: If the rank of `image` is unknown, if `image` has a rank other
than three or if the number of channels in `image` doesn't match the
number of values in `means`.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/vqa_utils.py#L163-L193
|
train
|
Subtracts the given means from each image channel.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + chr(2610 - 2556) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(1661 - 1608) + chr(0b110001 + 0o0), 5990 - 5982), ehT0Px3KOsy9(chr(48) + '\157' + '\061', 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(228 - 174) + chr(49), 8), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(49) + chr(0b101100 + 0o12) + chr(53), 0o10), ehT0Px3KOsy9(chr(444 - 396) + '\x6f' + chr(0b110010) + '\x34' + '\x33', 57793 - 57785), ehT0Px3KOsy9('\060' + chr(245 - 134) + chr(227 - 177) + chr(0b110010) + '\x30', 32330 - 32322), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(48) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10052 - 9941) + '\062' + chr(0b11111 + 0o22) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + '\061' + chr(0b110101) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(999 - 951) + '\x6f' + chr(0b11000 + 0o31) + chr(0b11000 + 0o33), 17506 - 17498), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(4425 - 4314) + chr(0b101010 + 0o11) + chr(0b11011 + 0o30) + '\x32', 18131 - 18123), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x33' + '\x34', 0b1000), ehT0Px3KOsy9(chr(1339 - 1291) + chr(3305 - 3194) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2126 - 2075) + chr(415 - 360) + '\067', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\x31' + chr(0b1011 + 0o53), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b110010 + 0o75) + chr(50) + chr(0b1101 + 0o47) + chr(0b100110 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11000 + 0o33) + chr(0b1011 + 0o54) + '\061', 41091 - 41083), ehT0Px3KOsy9('\060' + '\x6f' + chr(2334 - 2285) + chr(0b11111 + 0o26) + '\067', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(48) + chr(1113 - 1059), 0o10), ehT0Px3KOsy9('\x30' + chr(6453 - 6342) + chr(0b10000 + 0o41) + '\x36' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1514 - 1466) + chr(0b1101111) + chr(0b1 + 0o61) + chr(2392 - 2343) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + chr(0b1 + 0o66), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\063' + chr(1721 - 1669), 0o10), ehT0Px3KOsy9(chr(1567 - 1519) + chr(9720 - 9609) + chr(0b11011 + 0o27) + chr(0b110000) + '\061', 0o10), ehT0Px3KOsy9(chr(833 - 785) + chr(111) + chr(0b110001) + '\063' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110 + 0o53) + '\x35' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\063' + chr(0b110001), 29699 - 29691), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\067' + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + chr(49) + '\x37' + chr(0b110010 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10100 + 0o43) + chr(0b0 + 0o65), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(50) + '\x31', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b101000 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011 + 0o0) + chr(0b11100 + 0o30) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b1100 + 0o51) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(1837 - 1786) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + chr(1258 - 1208) + '\062' + chr(116 - 64), ord("\x08")), ehT0Px3KOsy9('\060' + chr(11537 - 11426) + chr(51) + chr(0b100000 + 0o20) + chr(0b1110 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(0b110010) + chr(1764 - 1713) + chr(0b110011 + 0o1), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(947 - 899) + '\x6f' + chr(2274 - 2221) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f'), '\x64' + '\x65' + chr(99) + chr(7755 - 7644) + chr(0b1010100 + 0o20) + chr(2638 - 2537))(chr(0b1011001 + 0o34) + chr(2868 - 2752) + '\x66' + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def qVnGu1w2HQrB(IdmAHWfCqrnp, XCAIkNRdiX0I):
if xafqLlk3kkUe(IdmAHWfCqrnp.get_shape(), xafqLlk3kkUe(SXOLrMavuUCe(b'_u\x00lB'), chr(100) + '\145' + chr(99) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(6832 - 6715) + chr(0b1 + 0o163) + chr(102) + chr(1724 - 1679) + '\x38')) != ehT0Px3KOsy9(chr(1906 - 1858) + '\157' + '\x33', 0o10):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'x\x7f\x19tEU\xce\xe5\xf7\xfbOi\xbf|i\x99\xae\xd4\x90\x15\xa3R\xd1o\xb9\xe88\x03\xadT[Jx}\x96\xc3\xb1\xb4\x80\xa2\x01L'), chr(100) + chr(101) + '\143' + chr(7661 - 7550) + chr(8497 - 8397) + chr(0b111011 + 0o52))(chr(117) + chr(5281 - 5165) + chr(102) + chr(0b101101) + '\x38'))
X1ZpHSxyKbHn = IdmAHWfCqrnp.get_shape().as_list()[-ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(0b1011 + 0o46), 8)]
if c2A0yzQpDQB3(XCAIkNRdiX0I) != X1ZpHSxyKbHn:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b']t\x07)\\\x10\xc2\xfe\xf7\xa6Of\xaf/r\xdf\xe3\xc6\x8d\x0c\xaeR\xfeo\xb9\xa11\x1e\xb4\x1a\x1eO1v\x84\x8b\xfe\xfc\xa2\xf2_t\x05r'), '\144' + chr(0b1011101 + 0o10) + chr(0b11010 + 0o111) + chr(111) + chr(0b11 + 0o141) + '\145')(chr(117) + '\164' + chr(0b10100 + 0o122) + chr(0b101101) + chr(1706 - 1650)))
H2MQqAZeamNo = IDJ2eXGCBCDu.split(axis=ehT0Px3KOsy9(chr(0b110000) + chr(3386 - 3275) + chr(0b11111 + 0o23), 0b1000), num_or_size_splits=X1ZpHSxyKbHn, value=IdmAHWfCqrnp)
for WVxHKyX45z_L in vQr8gNKaIaWE(X1ZpHSxyKbHn):
H2MQqAZeamNo[WVxHKyX45z_L] -= XCAIkNRdiX0I[WVxHKyX45z_L]
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'R~\x07bP\x01'), chr(0b1100100) + chr(101) + chr(99) + '\157' + '\144' + chr(101))(chr(6191 - 6074) + '\x74' + '\146' + chr(1952 - 1907) + '\x38'))(axis=ehT0Px3KOsy9(chr(48) + '\157' + chr(1112 - 1062), 8), values=H2MQqAZeamNo)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/vqa_utils.py
|
vqa_v2_preprocess_image
|
def vqa_v2_preprocess_image(
image,
height,
width,
mode,
resize_side=512,
distort=True,
image_model_fn="resnet_v1_152",
):
"""vqa v2 preprocess image."""
image = tf.image.convert_image_dtype(image, dtype=tf.float32)
assert resize_side > 0
if resize_side:
image = _aspect_preserving_resize(image, resize_side)
if mode == tf.estimator.ModeKeys.TRAIN:
image = tf.random_crop(image, [height, width, 3])
else:
# Central crop, assuming resize_height > height, resize_width > width.
image = tf.image.resize_image_with_crop_or_pad(image, height, width)
image = tf.clip_by_value(image, 0.0, 1.0)
if mode == tf.estimator.ModeKeys.TRAIN and distort:
image = _flip(image)
num_distort_cases = 4
# pylint: disable=unnecessary-lambda
image = _apply_with_random_selector(
image, lambda x, ordering: _distort_color(x, ordering),
num_cases=num_distort_cases)
if image_model_fn.startswith("resnet_v1"):
# resnet_v1 uses vgg preprocessing
image = image * 255.
image = _mean_image_subtraction(image, [_R_MEAN, _G_MEAN, _B_MEAN])
elif image_model_fn.startswith("resnet_v2"):
# resnet v2 uses inception preprocessing
image = tf.subtract(image, 0.5)
image = tf.multiply(image, 2.0)
return image
|
python
|
def vqa_v2_preprocess_image(
image,
height,
width,
mode,
resize_side=512,
distort=True,
image_model_fn="resnet_v1_152",
):
"""vqa v2 preprocess image."""
image = tf.image.convert_image_dtype(image, dtype=tf.float32)
assert resize_side > 0
if resize_side:
image = _aspect_preserving_resize(image, resize_side)
if mode == tf.estimator.ModeKeys.TRAIN:
image = tf.random_crop(image, [height, width, 3])
else:
# Central crop, assuming resize_height > height, resize_width > width.
image = tf.image.resize_image_with_crop_or_pad(image, height, width)
image = tf.clip_by_value(image, 0.0, 1.0)
if mode == tf.estimator.ModeKeys.TRAIN and distort:
image = _flip(image)
num_distort_cases = 4
# pylint: disable=unnecessary-lambda
image = _apply_with_random_selector(
image, lambda x, ordering: _distort_color(x, ordering),
num_cases=num_distort_cases)
if image_model_fn.startswith("resnet_v1"):
# resnet_v1 uses vgg preprocessing
image = image * 255.
image = _mean_image_subtraction(image, [_R_MEAN, _G_MEAN, _B_MEAN])
elif image_model_fn.startswith("resnet_v2"):
# resnet v2 uses inception preprocessing
image = tf.subtract(image, 0.5)
image = tf.multiply(image, 2.0)
return image
|
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] |
vqa v2 preprocess image.
|
[
"vqa",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/vqa_utils.py#L196-L236
|
train
|
vqa v2 preprocess image.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2557 - 2505) + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b110010) + '\065', 9561 - 9553), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(51) + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011101 + 0o22) + chr(51) + chr(54) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + chr(1662 - 1611) + '\x31' + '\x33', 15924 - 15916), ehT0Px3KOsy9(chr(2140 - 2092) + chr(0b111110 + 0o61) + '\067' + chr(427 - 373), 40434 - 40426), ehT0Px3KOsy9('\060' + chr(0b1011001 + 0o26) + chr(51) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(55) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b110100) + chr(0b100010 + 0o23), 32969 - 32961), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11011 + 0o27) + '\x32' + '\064', 0b1000), ehT0Px3KOsy9(chr(1526 - 1478) + chr(1970 - 1859) + chr(0b110011) + chr(50) + chr(1365 - 1316), 55695 - 55687), ehT0Px3KOsy9('\060' + chr(0b1000100 + 0o53) + '\065' + chr(827 - 774), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\065' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x36', 8), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b101101 + 0o12) + '\067', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(448 - 393) + chr(0b11101 + 0o25), 20186 - 20178), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + chr(0b110010) + chr(1836 - 1782) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(52), 12973 - 12965), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + '\063' + chr(1375 - 1326) + chr(54), 59551 - 59543), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1623 - 1573) + '\064' + '\x35', 40534 - 40526), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(0b110011) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7718 - 7607) + '\x31' + chr(0b110 + 0o60) + chr(0b1011 + 0o46), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110110) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100000 + 0o17) + chr(91 - 41) + chr(48) + chr(2137 - 2083), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110010) + '\x30', 49530 - 49522), ehT0Px3KOsy9(chr(0b110000) + chr(0b110100 + 0o73) + chr(1171 - 1119) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + chr(50) + chr(1689 - 1641) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b100011 + 0o114) + chr(0b11001 + 0o32) + chr(0b1111 + 0o46) + chr(0b1011 + 0o47), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\067' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1100101 + 0o12) + chr(0b110011) + chr(0b110010) + chr(0b10100 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(345 - 297) + chr(11012 - 10901) + '\x31' + chr(48) + '\066', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(1296 - 1246) + chr(0b101111 + 0o7), 55738 - 55730), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x30' + chr(0b11100 + 0o25), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\064' + chr(0b110110), 56315 - 56307), ehT0Px3KOsy9('\x30' + chr(111) + '\063', 15322 - 15314), ehT0Px3KOsy9(chr(48) + chr(9684 - 9573) + chr(2179 - 2128) + chr(52) + '\065', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110 + 0o54) + chr(0b10111 + 0o34) + '\x35', 0o10), ehT0Px3KOsy9(chr(640 - 592) + '\x6f' + chr(50) + chr(0b110101) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(10732 - 10621) + chr(0b10100 + 0o36) + chr(0b110001) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x36' + chr(0b10100 + 0o41), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1010 + 0o53) + chr(0b10001 + 0o37), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c'), '\144' + chr(7066 - 6965) + chr(5451 - 5352) + '\x6f' + '\144' + chr(1589 - 1488))('\x75' + chr(0b110011 + 0o101) + '\146' + chr(0b11101 + 0o20) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def QOdu8BoS2uqN(IdmAHWfCqrnp, ehbUULKuygfC, mPx09rBTrGXR, holLFgwB7vsP, scKCzGb51u54=ehT0Px3KOsy9(chr(0b110000) + chr(4058 - 3947) + '\x31' + '\x30' + '\060' + chr(1290 - 1242), 63468 - 63460), Kve_AScifpZ8=ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + chr(0b10110 + 0o33), ord("\x08")), nTKXB_82dv3Y=xafqLlk3kkUe(SXOLrMavuUCe(b'P\xf0\xed\x9c\xaeJA\x89T\xcb\xe0\x18\x1b'), chr(0b1100100) + '\145' + chr(99) + chr(11304 - 11193) + chr(0b10110 + 0o116) + chr(0b1100101))(chr(4278 - 4161) + chr(7357 - 7241) + chr(3146 - 3044) + chr(45) + chr(0b1100 + 0o54))):
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.convert_image_dtype(IdmAHWfCqrnp, dtype=IDJ2eXGCBCDu.float32)
assert scKCzGb51u54 > ehT0Px3KOsy9(chr(1330 - 1282) + chr(111) + '\060', 0o10)
if scKCzGb51u54:
IdmAHWfCqrnp = fxz2GNxMuxyz(IdmAHWfCqrnp, scKCzGb51u54)
if holLFgwB7vsP == xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'v\xc7\xdf\xbb\x85'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101000 + 0o7) + chr(4610 - 4510) + chr(0b1100101))(chr(0b1110101) + chr(0b1100 + 0o150) + '\146' + '\055' + chr(0b111000))):
IdmAHWfCqrnp = IDJ2eXGCBCDu.random_crop(IdmAHWfCqrnp, [ehbUULKuygfC, mPx09rBTrGXR, ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + '\x33', 8)])
else:
IdmAHWfCqrnp = IDJ2eXGCBCDu.image.resize_image_with_crop_or_pad(IdmAHWfCqrnp, ehbUULKuygfC, mPx09rBTrGXR)
IdmAHWfCqrnp = IDJ2eXGCBCDu.clip_by_value(IdmAHWfCqrnp, 0.0, 1.0)
if holLFgwB7vsP == xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'v\xc7\xdf\xbb\x85'), chr(0b1100100) + '\x65' + '\143' + chr(111) + chr(100) + '\145')(chr(0b1110101) + chr(11514 - 11398) + '\146' + chr(45) + chr(0b0 + 0o70))) and Kve_AScifpZ8:
IdmAHWfCqrnp = GaGdae2jtMlD(IdmAHWfCqrnp)
aYUqSuRj5SEU = ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(983 - 931), 33602 - 33594)
IdmAHWfCqrnp = z_k6JFPHsnty(IdmAHWfCqrnp, lambda OeWW0F1dBPRQ, ts8rYws8usJ6: mlJj7kopXTK8(OeWW0F1dBPRQ, ts8rYws8usJ6), num_cases=aYUqSuRj5SEU)
if xafqLlk3kkUe(nTKXB_82dv3Y, xafqLlk3kkUe(SXOLrMavuUCe(b'Q\xe1\xff\x80\xbfMi\x96\x11\xfc'), chr(0b111010 + 0o52) + chr(1625 - 1524) + chr(99) + chr(111) + chr(100) + chr(101))(chr(117) + chr(116) + chr(0b1001110 + 0o30) + chr(0b11 + 0o52) + chr(0b110100 + 0o4)))(xafqLlk3kkUe(SXOLrMavuUCe(b'P\xf0\xed\x9c\xaeJA\x89T'), chr(6764 - 6664) + chr(2512 - 2411) + chr(0b1010011 + 0o20) + '\x6f' + chr(100) + '\145')(chr(0b1011101 + 0o30) + chr(116) + '\146' + chr(45) + chr(56))):
IdmAHWfCqrnp = IdmAHWfCqrnp * 255.0
IdmAHWfCqrnp = qVnGu1w2HQrB(IdmAHWfCqrnp, [mBVWLfEHHhNI, lx5dbfnEW44M, Z6zqBFsQuQ1T])
elif xafqLlk3kkUe(nTKXB_82dv3Y, xafqLlk3kkUe(SXOLrMavuUCe(b'Q\xe1\xff\x80\xbfMi\x96\x11\xfc'), '\x64' + chr(101) + '\x63' + chr(111) + '\144' + '\145')(chr(0b11000 + 0o135) + chr(8864 - 8748) + chr(179 - 77) + chr(640 - 595) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'P\xf0\xed\x9c\xaeJA\x89W'), chr(6076 - 5976) + chr(101) + chr(0b1001000 + 0o33) + chr(111) + chr(0b1100100) + chr(7754 - 7653))(chr(3948 - 3831) + chr(116) + '\x66' + chr(0b101101) + chr(0b0 + 0o70))):
IdmAHWfCqrnp = IDJ2eXGCBCDu.subtract(IdmAHWfCqrnp, 0.5)
IdmAHWfCqrnp = IDJ2eXGCBCDu.multiply(IdmAHWfCqrnp, 2.0)
return IdmAHWfCqrnp
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/transformer_layers.py
|
transformer_prepare_encoder
|
def transformer_prepare_encoder(inputs, target_space, hparams, features=None):
"""Prepare one shard of the model for the encoder.
Args:
inputs: a Tensor.
target_space: a Tensor.
hparams: run hyperparameters
features: optionally pass the entire features dictionary as well.
This is needed now for "packed" datasets.
Returns:
encoder_input: a Tensor, bottom of encoder stack
encoder_self_attention_bias: a bias tensor for use in encoder self-attention
encoder_decoder_attention_bias: a bias tensor for use in encoder-decoder
attention
"""
ishape_static = inputs.shape.as_list()
encoder_input = inputs
if features and "inputs_segmentation" in features:
# Packed dataset. Keep the examples from seeing each other.
inputs_segmentation = features["inputs_segmentation"]
inputs_position = features["inputs_position"]
targets_segmentation = features["targets_segmentation"]
if (hasattr(hparams, "unidirectional_encoder") and
hparams.unidirectional_encoder):
tf.logging.info("Using unidirectional encoder")
encoder_self_attention_bias = (
common_attention.attention_bias_lower_triangle(
common_layers.shape_list(inputs)[1]))
else:
encoder_self_attention_bias = (
common_attention.attention_bias_same_segment(
inputs_segmentation, inputs_segmentation))
encoder_decoder_attention_bias = (
common_attention.attention_bias_same_segment(targets_segmentation,
inputs_segmentation))
else:
encoder_padding = common_attention.embedding_to_padding(encoder_input)
ignore_padding = common_attention.attention_bias_ignore_padding(
encoder_padding)
if (hasattr(hparams, "unidirectional_encoder") and
hparams.unidirectional_encoder):
tf.logging.info("Using unidirectional encoder")
encoder_self_attention_bias = (
common_attention.attention_bias_lower_triangle(
common_layers.shape_list(inputs)[1]))
else:
# Usual case - not a packed dataset.
encoder_self_attention_bias = ignore_padding
encoder_decoder_attention_bias = ignore_padding
inputs_position = None
if hparams.proximity_bias:
encoder_self_attention_bias += common_attention.attention_bias_proximal(
common_layers.shape_list(inputs)[1])
if target_space is not None and hparams.get("use_target_space_embedding",
True):
# Append target_space_id embedding to inputs.
emb_target_space = common_layers.embedding(
target_space,
32,
ishape_static[-1],
name="target_space_embedding",
dtype=hparams.get("activation_dtype", "float32"))
emb_target_space = tf.reshape(emb_target_space, [1, 1, -1])
encoder_input += emb_target_space
if hparams.pos == "timing":
if inputs_position is not None:
encoder_input = common_attention.add_timing_signal_1d_given_position(
encoder_input, inputs_position)
else:
encoder_input = common_attention.add_timing_signal_1d(encoder_input)
elif hparams.pos == "emb":
encoder_input = common_attention.add_positional_embedding(
encoder_input, hparams.max_length, "inputs_positional_embedding",
inputs_position)
encoder_self_attention_bias = common_layers.cast_like(
encoder_self_attention_bias, encoder_input)
encoder_decoder_attention_bias = common_layers.cast_like(
encoder_decoder_attention_bias, encoder_input)
return (encoder_input, encoder_self_attention_bias,
encoder_decoder_attention_bias)
|
python
|
def transformer_prepare_encoder(inputs, target_space, hparams, features=None):
"""Prepare one shard of the model for the encoder.
Args:
inputs: a Tensor.
target_space: a Tensor.
hparams: run hyperparameters
features: optionally pass the entire features dictionary as well.
This is needed now for "packed" datasets.
Returns:
encoder_input: a Tensor, bottom of encoder stack
encoder_self_attention_bias: a bias tensor for use in encoder self-attention
encoder_decoder_attention_bias: a bias tensor for use in encoder-decoder
attention
"""
ishape_static = inputs.shape.as_list()
encoder_input = inputs
if features and "inputs_segmentation" in features:
# Packed dataset. Keep the examples from seeing each other.
inputs_segmentation = features["inputs_segmentation"]
inputs_position = features["inputs_position"]
targets_segmentation = features["targets_segmentation"]
if (hasattr(hparams, "unidirectional_encoder") and
hparams.unidirectional_encoder):
tf.logging.info("Using unidirectional encoder")
encoder_self_attention_bias = (
common_attention.attention_bias_lower_triangle(
common_layers.shape_list(inputs)[1]))
else:
encoder_self_attention_bias = (
common_attention.attention_bias_same_segment(
inputs_segmentation, inputs_segmentation))
encoder_decoder_attention_bias = (
common_attention.attention_bias_same_segment(targets_segmentation,
inputs_segmentation))
else:
encoder_padding = common_attention.embedding_to_padding(encoder_input)
ignore_padding = common_attention.attention_bias_ignore_padding(
encoder_padding)
if (hasattr(hparams, "unidirectional_encoder") and
hparams.unidirectional_encoder):
tf.logging.info("Using unidirectional encoder")
encoder_self_attention_bias = (
common_attention.attention_bias_lower_triangle(
common_layers.shape_list(inputs)[1]))
else:
# Usual case - not a packed dataset.
encoder_self_attention_bias = ignore_padding
encoder_decoder_attention_bias = ignore_padding
inputs_position = None
if hparams.proximity_bias:
encoder_self_attention_bias += common_attention.attention_bias_proximal(
common_layers.shape_list(inputs)[1])
if target_space is not None and hparams.get("use_target_space_embedding",
True):
# Append target_space_id embedding to inputs.
emb_target_space = common_layers.embedding(
target_space,
32,
ishape_static[-1],
name="target_space_embedding",
dtype=hparams.get("activation_dtype", "float32"))
emb_target_space = tf.reshape(emb_target_space, [1, 1, -1])
encoder_input += emb_target_space
if hparams.pos == "timing":
if inputs_position is not None:
encoder_input = common_attention.add_timing_signal_1d_given_position(
encoder_input, inputs_position)
else:
encoder_input = common_attention.add_timing_signal_1d(encoder_input)
elif hparams.pos == "emb":
encoder_input = common_attention.add_positional_embedding(
encoder_input, hparams.max_length, "inputs_positional_embedding",
inputs_position)
encoder_self_attention_bias = common_layers.cast_like(
encoder_self_attention_bias, encoder_input)
encoder_decoder_attention_bias = common_layers.cast_like(
encoder_decoder_attention_bias, encoder_input)
return (encoder_input, encoder_self_attention_bias,
encoder_decoder_attention_bias)
|
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] |
Prepare one shard of the model for the encoder.
Args:
inputs: a Tensor.
target_space: a Tensor.
hparams: run hyperparameters
features: optionally pass the entire features dictionary as well.
This is needed now for "packed" datasets.
Returns:
encoder_input: a Tensor, bottom of encoder stack
encoder_self_attention_bias: a bias tensor for use in encoder self-attention
encoder_decoder_attention_bias: a bias tensor for use in encoder-decoder
attention
|
[
"Prepare",
"one",
"shard",
"of",
"the",
"model",
"for",
"the",
"encoder",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/transformer_layers.py#L35-L116
|
train
|
Prepare one shard of the model for the encoder.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(48) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + chr(0b110001) + '\x34' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(2481 - 2431) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110001) + '\063', 11744 - 11736), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(53) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10010 + 0o37) + chr(0b1001 + 0o52), 39298 - 39290), ehT0Px3KOsy9('\060' + '\157' + chr(0b101110 + 0o5) + chr(49) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b110011 + 0o3) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(4917 - 4806) + chr(1016 - 965) + '\064' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1 + 0o62) + chr(2956 - 2901) + '\064', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1191 - 1140), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x34' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + chr(50) + '\x34' + chr(103 - 53), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x34' + chr(55), 27096 - 27088), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100111 + 0o14) + chr(52) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(2978 - 2867) + chr(561 - 512) + chr(49) + chr(956 - 907), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(302 - 250) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x36' + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b110010) + chr(0b110000), 41327 - 41319), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\061' + chr(0b110 + 0o55), 8), ehT0Px3KOsy9(chr(1833 - 1785) + chr(3949 - 3838) + '\064' + chr(1499 - 1445), 8), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(1536 - 1487) + '\067', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b110100) + '\x34', 0o10), ehT0Px3KOsy9(chr(573 - 525) + chr(0b1010101 + 0o32) + chr(0b101010 + 0o14) + chr(1130 - 1079), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11010 + 0o27) + chr(1917 - 1865) + '\060', 34879 - 34871), ehT0Px3KOsy9(chr(501 - 453) + chr(0b1101111) + '\x33' + '\065' + chr(2021 - 1971), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101100 + 0o3) + chr(0b101111 + 0o4) + '\x32' + chr(0b1111 + 0o44), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\x35' + '\066', 0b1000), ehT0Px3KOsy9(chr(635 - 587) + chr(3737 - 3626) + '\x37' + chr(0b101010 + 0o11), 63998 - 63990), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x34' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10100 + 0o35) + chr(0b110111) + chr(791 - 736), ord("\x08")), ehT0Px3KOsy9(chr(2239 - 2191) + chr(0b1101111) + chr(53) + '\061', 14016 - 14008), ehT0Px3KOsy9(chr(512 - 464) + chr(0b1100110 + 0o11) + '\061' + chr(0b100100 + 0o23) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\065' + chr(952 - 904), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(1667 - 1612) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(10289 - 10178) + chr(0b11110 + 0o25) + '\066' + '\062', 0o10), ehT0Px3KOsy9(chr(1215 - 1167) + chr(2259 - 2148) + chr(324 - 275) + chr(54) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2612 - 2501) + chr(1175 - 1126) + chr(49) + chr(0b110100), 9159 - 9151), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(11730 - 11619) + chr(2158 - 2104) + '\061', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + chr(0b100011 + 0o15), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xee'), '\x64' + chr(0b1101 + 0o130) + chr(99) + chr(111) + chr(0b100010 + 0o102) + chr(0b1001100 + 0o31))('\x75' + chr(116) + chr(0b1100110) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def PdmJPyvTnLBn(vXoupepMtCXU, uFIGUtii6RGG, n4ljua2gi1Pr, EEf4r9nUvta_=None):
W98kz8VtFeJz = vXoupepMtCXU.shape.as_list()
LDEM1Zag9l0P = vXoupepMtCXU
if EEf4r9nUvta_ and xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\x0b\xa7>\x9dx\x97\x86\x83\x9bnjO\xd6\x86\x91 I\x9a'), chr(100) + '\x65' + chr(0b1110 + 0o125) + chr(0b1101111) + '\x64' + chr(101))(chr(117) + '\x74' + chr(0b1100110) + chr(356 - 311) + '\070') in EEf4r9nUvta_:
zLEkgo1bBN8B = EEf4r9nUvta_[xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\x0b\xa7>\x9dx\x97\x86\x83\x9bnjO\xd6\x86\x91 I\x9a'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(111) + '\144' + '\145')(chr(1600 - 1483) + chr(8487 - 8371) + chr(2586 - 2484) + chr(0b0 + 0o55) + '\070')]
mJt3GQHgZTox = EEf4r9nUvta_[xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\x0b\xa7>\x9dx\x97\x85\x89\x8fj{H\xcd\x89'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(125 - 14) + '\x64' + chr(0b100001 + 0o104))(chr(0b1110101) + chr(0b101101 + 0o107) + chr(7962 - 7860) + chr(2010 - 1965) + chr(0b10101 + 0o43))]
nByn7rrVtVeX = EEf4r9nUvta_[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\x04\xa5,\x8c\x7f\xbb\xaa\x95\x99dbD\xcc\x93\x84=O\x9b>'), chr(0b1100100) + chr(0b11011 + 0o112) + '\143' + chr(111) + chr(0b1100100) + chr(3697 - 3596))(chr(0b1110101) + chr(116) + chr(0b110010 + 0o64) + '\055' + '\070')]
if lot1PSoAwYhj(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\xb5\x0b\xbe/\x80y\xad\x96\x92\x95la@\xce\xb8\x80'E\x9b4.T"), '\x64' + '\145' + chr(5469 - 5370) + '\157' + chr(0b1100001 + 0o3) + '\x65')('\165' + chr(0b111101 + 0o67) + '\x66' + chr(0b101101) + chr(56))) and xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\x02\xe3\x03\xa5;\x91\x83\x97\x9a4L'), chr(0b1010101 + 0o17) + chr(101) + chr(3059 - 2960) + '\x6f' + '\x64' + chr(101))('\x75' + chr(1865 - 1749) + '\x66' + chr(45) + chr(2754 - 2698))):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x93R\x9f3\x9ch\xaf\xc2\x8c\x90Yd'), chr(0b1100100) + chr(101) + chr(0b11011 + 0o110) + chr(0b1011111 + 0o20) + '\144' + chr(101))(chr(0b1001000 + 0o55) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b101001 + 0o17)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\x16\xbe%\x8e+\xbd\x9b\x8f\x98j}D\xc1\x93\x8c&H\x95<kCa\xc7\\\x04\x8f\xa1'), chr(0b1100100) + chr(10100 - 9999) + '\143' + '\157' + chr(100) + chr(101))(chr(0b10010 + 0o143) + '\x74' + chr(102) + chr(0b100101 + 0o10) + '\070'))
cMrr2bkEBgTQ = WOnrfm4dlYcf.attention_bias_lower_triangle(jSKPaHwSAfVv.shape_list(vXoupepMtCXU)[ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + '\x31', 0o10)])
else:
cMrr2bkEBgTQ = WOnrfm4dlYcf.attention_bias_same_segment(zLEkgo1bBN8B, zLEkgo1bBN8B)
iuvkQfeRHfn5 = WOnrfm4dlYcf.attention_bias_same_segment(nByn7rrVtVeX, zLEkgo1bBN8B)
else:
n61t3r1Cu3zB = WOnrfm4dlYcf.embedding_to_padding(LDEM1Zag9l0P)
VSBEc2df2qeY = WOnrfm4dlYcf.attention_bias_ignore_padding(n61t3r1Cu3zB)
if lot1PSoAwYhj(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\xb5\x0b\xbe/\x80y\xad\x96\x92\x95la@\xce\xb8\x80'E\x9b4.T"), '\144' + chr(0b1100100 + 0o1) + '\x63' + chr(11529 - 11418) + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + '\146' + chr(1840 - 1795) + chr(2634 - 2578))) and xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\x02\xe3\x03\xa5;\x91\x83\x97\x9a4L'), chr(0b1100100) + chr(0b1100101) + chr(0b1001011 + 0o30) + chr(3731 - 3620) + '\x64' + chr(9330 - 9229))(chr(10256 - 10139) + '\164' + chr(102) + chr(1203 - 1158) + chr(56))):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x93R\x9f3\x9ch\xaf\xc2\x8c\x90Yd'), chr(100) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1000 + 0o134) + '\x65')(chr(0b1110101) + '\164' + chr(0b101 + 0o141) + '\055' + chr(1706 - 1650)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\x16\xbe%\x8e+\xbd\x9b\x8f\x98j}D\xc1\x93\x8c&H\x95<kCa\xc7\\\x04\x8f\xa1'), chr(100) + '\x65' + chr(1723 - 1624) + chr(0b1000000 + 0o57) + chr(5992 - 5892) + chr(5667 - 5566))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))
cMrr2bkEBgTQ = WOnrfm4dlYcf.attention_bias_lower_triangle(jSKPaHwSAfVv.shape_list(vXoupepMtCXU)[ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31', 8)])
else:
cMrr2bkEBgTQ = VSBEc2df2qeY
iuvkQfeRHfn5 = VSBEc2df2qeY
mJt3GQHgZTox = None
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\x17\xb83\x80f\xa1\x81\x9f\xa3af@\xd1'), chr(2377 - 2277) + '\x65' + chr(0b1100011) + chr(0b1100101 + 0o12) + chr(0b1011 + 0o131) + chr(0b110011 + 0o62))(chr(117) + chr(9285 - 9169) + chr(102) + '\x2d' + chr(56))):
cMrr2bkEBgTQ += WOnrfm4dlYcf.attention_bias_proximal(jSKPaHwSAfVv.shape_list(vXoupepMtCXU)[ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + chr(1089 - 1040), 8)])
if uFIGUtii6RGG is not None and xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7\x00\xa3'), '\144' + '\x65' + chr(0b1001011 + 0o30) + '\x6f' + chr(0b101110 + 0o66) + '\145')(chr(0b1110101) + chr(116) + chr(102) + chr(0b10110 + 0o27) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\x16\xb2\x14\x9dj\xba\x92\x83\x88\\|Q\xc3\x84\x80\x16C\x992.Bk\xcd]\x07'), chr(0b1100100) + chr(0b1100101 + 0o0) + chr(0b1100011) + '\157' + '\x64' + '\145')(chr(0b1110101) + chr(0b1011111 + 0o25) + '\x66' + chr(0b10110 + 0o27) + chr(56)), ehT0Px3KOsy9('\060' + '\x6f' + chr(49), 8)):
yizNjfS3fYOd = jSKPaHwSAfVv.embedding(uFIGUtii6RGG, ehT0Px3KOsy9(chr(1625 - 1577) + chr(5647 - 5536) + '\064' + chr(0b101111 + 0o1), 0b1000), W98kz8VtFeJz[-ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + chr(49), 8)], name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\x04\xa5,\x8c\x7f\x97\x86\x96\x9d`j~\xc7\x8a\x87,B\x909%A'), chr(0b1001101 + 0o27) + chr(101) + chr(7715 - 7616) + chr(0b1001110 + 0o41) + chr(0b10001 + 0o123) + chr(0b11111 + 0o106))(chr(0b1010001 + 0o44) + chr(116) + '\x66' + chr(45) + '\070'), dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\x06\xa3"\x9fj\xbc\x9c\x89\x92\\kU\xdb\x97\x80'), '\144' + chr(0b1100101) + chr(682 - 583) + '\157' + chr(0b1010010 + 0o22) + '\x65')(chr(0b1110101) + '\164' + chr(102) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\t\xb8*\x9d8\xfa'), '\x64' + chr(0b100011 + 0o102) + chr(7724 - 7625) + '\157' + chr(0b1100100) + chr(0b111100 + 0o51))('\165' + '\164' + chr(102) + chr(45) + chr(0b100010 + 0o26))))
yizNjfS3fYOd = IDJ2eXGCBCDu.reshape(yizNjfS3fYOd, [ehT0Px3KOsy9(chr(1946 - 1898) + chr(8035 - 7924) + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + '\x31', 8), -ehT0Px3KOsy9(chr(1289 - 1241) + chr(0b1101010 + 0o5) + chr(2324 - 2275), 8)])
LDEM1Zag9l0P += yizNjfS3fYOd
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e=\xb3{\x88z\x91\xbf\x82\xc8oD'), '\x64' + chr(0b1111 + 0o126) + chr(99) + chr(9016 - 8905) + chr(100) + chr(101))('\165' + chr(116) + chr(7345 - 7243) + chr(911 - 866) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\x0c\xba"\x87l'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b111011 + 0o64) + chr(100) + chr(0b1010111 + 0o16))(chr(0b1110101) + chr(116) + chr(102) + chr(45) + chr(56)):
if mJt3GQHgZTox is not None:
LDEM1Zag9l0P = WOnrfm4dlYcf.add_timing_signal_1d_given_position(LDEM1Zag9l0P, mJt3GQHgZTox)
else:
LDEM1Zag9l0P = WOnrfm4dlYcf.add_timing_signal_1d(LDEM1Zag9l0P)
elif xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e=\xb3{\x88z\x91\xbf\x82\xc8oD'), chr(0b1100100) + chr(10015 - 9914) + chr(99) + chr(111) + chr(0b1001110 + 0o26) + chr(101))(chr(117) + chr(0b1110100) + chr(7052 - 6950) + chr(0b110 + 0o47) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5\x08\xb5'), chr(7816 - 7716) + '\145' + '\143' + chr(6781 - 6670) + chr(0b1100100) + '\x65')(chr(0b11110 + 0o127) + chr(9588 - 9472) + chr(4347 - 4245) + chr(0b101101) + '\x38'):
LDEM1Zag9l0P = WOnrfm4dlYcf.add_positional_embedding(LDEM1Zag9l0P, n4ljua2gi1Pr._o7pVXAdOCRy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\x0b\xa7>\x9dx\x97\x85\x89\x8fj{H\xcd\x89\x84%y\x91=)Ck\xc0Z\x0e\x8d'), '\144' + chr(2113 - 2012) + chr(0b1001 + 0o132) + chr(6892 - 6781) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1100111 + 0o15) + '\146' + chr(45) + '\070'), mJt3GQHgZTox)
cMrr2bkEBgTQ = jSKPaHwSAfVv.cast_like(cMrr2bkEBgTQ, LDEM1Zag9l0P)
iuvkQfeRHfn5 = jSKPaHwSAfVv.cast_like(iuvkQfeRHfn5, LDEM1Zag9l0P)
return (LDEM1Zag9l0P, cMrr2bkEBgTQ, iuvkQfeRHfn5)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/transformer_layers.py
|
transformer_encoder
|
def transformer_encoder(encoder_input,
encoder_self_attention_bias,
hparams,
name="encoder",
nonpadding=None,
save_weights_to=None,
make_image_summary=True,
losses=None,
attn_bias_for_padding=None):
"""A stack of transformer layers.
Args:
encoder_input: a Tensor
encoder_self_attention_bias: bias Tensor for self-attention
(see common_attention.attention_bias())
hparams: hyperparameters for model
name: a string
nonpadding: optional Tensor with shape [batch_size, encoder_length]
indicating what positions are not padding. This must either be
passed in, which we do for "packed" datasets, or inferred from
encoder_self_attention_bias. The knowledge about padding is used
for pad_remover(efficiency) and to mask out padding in convolutional
layers.
save_weights_to: an optional dictionary to capture attention weights
for visualization; the weights tensor will be appended there under
a string key created from the variable scope (including name).
make_image_summary: Whether to make an attention image summary.
losses: optional list onto which to append extra training losses
attn_bias_for_padding: Padded attention bias in case a unidirectional
encoder is being used where future attention is masked.
Returns:
y: a Tensors
"""
x = encoder_input
attention_dropout_broadcast_dims = (
common_layers.comma_separated_string_to_integer_list(
getattr(hparams, "attention_dropout_broadcast_dims", "")))
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_NUM_HIDDEN_LAYERS,
value=hparams.num_encoder_layers or hparams.num_hidden_layers)
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_ATTENTION_DROPOUT,
value=hparams.attention_dropout)
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_ATTENTION_DENSE,
value={
"use_bias": "false",
"num_heads": hparams.num_heads,
"hidden_size": hparams.hidden_size
})
with tf.variable_scope(name):
if nonpadding is not None:
padding = 1.0 - nonpadding
else:
attention_bias = encoder_self_attention_bias
if attn_bias_for_padding is not None:
attention_bias = attn_bias_for_padding
padding = common_attention.attention_bias_to_padding(attention_bias)
nonpadding = 1.0 - padding
pad_remover = None
if hparams.use_pad_remover and not common_layers.is_xla_compiled():
pad_remover = expert_utils.PadRemover(padding)
for layer in range(hparams.num_encoder_layers or hparams.num_hidden_layers):
with tf.variable_scope("layer_%d" % layer):
with tf.variable_scope("self_attention"):
if layer < hparams.get("num_area_layers", 0):
max_area_width = hparams.get("max_area_width", 1)
max_area_height = hparams.get("max_area_height", 1)
memory_height = hparams.get("memory_height", 1)
else:
max_area_width = 1
max_area_height = 1
memory_height = 1
y = common_attention.multihead_attention(
common_layers.layer_preprocess(x, hparams),
None,
encoder_self_attention_bias,
hparams.attention_key_channels or hparams.hidden_size,
hparams.attention_value_channels or hparams.hidden_size,
hparams.hidden_size,
hparams.num_heads,
hparams.attention_dropout,
attention_type=hparams.self_attention_type,
max_relative_position=hparams.max_relative_position,
heads_share_relative_embedding=(
hparams.heads_share_relative_embedding),
add_relative_to_values=hparams.add_relative_to_values,
save_weights_to=save_weights_to,
make_image_summary=make_image_summary,
dropout_broadcast_dims=attention_dropout_broadcast_dims,
max_length=hparams.get("max_length"),
vars_3d=hparams.get("attention_variables_3d"),
activation_dtype=hparams.get("activation_dtype", "float32"),
weight_dtype=hparams.get("weight_dtype", "float32"),
hard_attention_k=hparams.get("hard_attention_k", 0),
max_area_width=max_area_width,
max_area_height=max_area_height,
memory_height=memory_height,
area_key_mode=hparams.get("area_key_mode", "none"),
area_value_mode=hparams.get("area_value_mode", "none"),
training=(hparams.get("mode", tf.estimator.ModeKeys.TRAIN)
== tf.estimator.ModeKeys.TRAIN))
x = common_layers.layer_postprocess(x, y, hparams)
with tf.variable_scope("ffn"):
y = transformer_ffn_layer(
common_layers.layer_preprocess(x, hparams),
hparams,
pad_remover,
conv_padding="SAME",
nonpadding_mask=nonpadding,
losses=losses)
x = common_layers.layer_postprocess(x, y, hparams)
# if normalization is done in layer_preprocess, then it should also be done
# on the output, since the output can grow very large, being the sum of
# a whole stack of unnormalized layer outputs.
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_NORM,
value={"hidden_size": hparams.hidden_size})
return common_layers.layer_preprocess(x, hparams)
|
python
|
def transformer_encoder(encoder_input,
encoder_self_attention_bias,
hparams,
name="encoder",
nonpadding=None,
save_weights_to=None,
make_image_summary=True,
losses=None,
attn_bias_for_padding=None):
"""A stack of transformer layers.
Args:
encoder_input: a Tensor
encoder_self_attention_bias: bias Tensor for self-attention
(see common_attention.attention_bias())
hparams: hyperparameters for model
name: a string
nonpadding: optional Tensor with shape [batch_size, encoder_length]
indicating what positions are not padding. This must either be
passed in, which we do for "packed" datasets, or inferred from
encoder_self_attention_bias. The knowledge about padding is used
for pad_remover(efficiency) and to mask out padding in convolutional
layers.
save_weights_to: an optional dictionary to capture attention weights
for visualization; the weights tensor will be appended there under
a string key created from the variable scope (including name).
make_image_summary: Whether to make an attention image summary.
losses: optional list onto which to append extra training losses
attn_bias_for_padding: Padded attention bias in case a unidirectional
encoder is being used where future attention is masked.
Returns:
y: a Tensors
"""
x = encoder_input
attention_dropout_broadcast_dims = (
common_layers.comma_separated_string_to_integer_list(
getattr(hparams, "attention_dropout_broadcast_dims", "")))
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_NUM_HIDDEN_LAYERS,
value=hparams.num_encoder_layers or hparams.num_hidden_layers)
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_ATTENTION_DROPOUT,
value=hparams.attention_dropout)
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_ATTENTION_DENSE,
value={
"use_bias": "false",
"num_heads": hparams.num_heads,
"hidden_size": hparams.hidden_size
})
with tf.variable_scope(name):
if nonpadding is not None:
padding = 1.0 - nonpadding
else:
attention_bias = encoder_self_attention_bias
if attn_bias_for_padding is not None:
attention_bias = attn_bias_for_padding
padding = common_attention.attention_bias_to_padding(attention_bias)
nonpadding = 1.0 - padding
pad_remover = None
if hparams.use_pad_remover and not common_layers.is_xla_compiled():
pad_remover = expert_utils.PadRemover(padding)
for layer in range(hparams.num_encoder_layers or hparams.num_hidden_layers):
with tf.variable_scope("layer_%d" % layer):
with tf.variable_scope("self_attention"):
if layer < hparams.get("num_area_layers", 0):
max_area_width = hparams.get("max_area_width", 1)
max_area_height = hparams.get("max_area_height", 1)
memory_height = hparams.get("memory_height", 1)
else:
max_area_width = 1
max_area_height = 1
memory_height = 1
y = common_attention.multihead_attention(
common_layers.layer_preprocess(x, hparams),
None,
encoder_self_attention_bias,
hparams.attention_key_channels or hparams.hidden_size,
hparams.attention_value_channels or hparams.hidden_size,
hparams.hidden_size,
hparams.num_heads,
hparams.attention_dropout,
attention_type=hparams.self_attention_type,
max_relative_position=hparams.max_relative_position,
heads_share_relative_embedding=(
hparams.heads_share_relative_embedding),
add_relative_to_values=hparams.add_relative_to_values,
save_weights_to=save_weights_to,
make_image_summary=make_image_summary,
dropout_broadcast_dims=attention_dropout_broadcast_dims,
max_length=hparams.get("max_length"),
vars_3d=hparams.get("attention_variables_3d"),
activation_dtype=hparams.get("activation_dtype", "float32"),
weight_dtype=hparams.get("weight_dtype", "float32"),
hard_attention_k=hparams.get("hard_attention_k", 0),
max_area_width=max_area_width,
max_area_height=max_area_height,
memory_height=memory_height,
area_key_mode=hparams.get("area_key_mode", "none"),
area_value_mode=hparams.get("area_value_mode", "none"),
training=(hparams.get("mode", tf.estimator.ModeKeys.TRAIN)
== tf.estimator.ModeKeys.TRAIN))
x = common_layers.layer_postprocess(x, y, hparams)
with tf.variable_scope("ffn"):
y = transformer_ffn_layer(
common_layers.layer_preprocess(x, hparams),
hparams,
pad_remover,
conv_padding="SAME",
nonpadding_mask=nonpadding,
losses=losses)
x = common_layers.layer_postprocess(x, y, hparams)
# if normalization is done in layer_preprocess, then it should also be done
# on the output, since the output can grow very large, being the sum of
# a whole stack of unnormalized layer outputs.
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_NORM,
value={"hidden_size": hparams.hidden_size})
return common_layers.layer_preprocess(x, hparams)
|
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] |
A stack of transformer layers.
Args:
encoder_input: a Tensor
encoder_self_attention_bias: bias Tensor for self-attention
(see common_attention.attention_bias())
hparams: hyperparameters for model
name: a string
nonpadding: optional Tensor with shape [batch_size, encoder_length]
indicating what positions are not padding. This must either be
passed in, which we do for "packed" datasets, or inferred from
encoder_self_attention_bias. The knowledge about padding is used
for pad_remover(efficiency) and to mask out padding in convolutional
layers.
save_weights_to: an optional dictionary to capture attention weights
for visualization; the weights tensor will be appended there under
a string key created from the variable scope (including name).
make_image_summary: Whether to make an attention image summary.
losses: optional list onto which to append extra training losses
attn_bias_for_padding: Padded attention bias in case a unidirectional
encoder is being used where future attention is masked.
Returns:
y: a Tensors
|
[
"A",
"stack",
"of",
"transformer",
"layers",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/transformer_layers.py#L119-L239
|
train
|
A stack of transformer layers.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(706 - 654) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(534 - 486) + chr(0b1101111) + '\063' + '\x34' + chr(54), 40590 - 40582), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1000110 + 0o51) + '\063' + '\067' + chr(2710 - 2655), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + chr(684 - 634) + chr(0b110111) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + '\061' + '\067' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11011 + 0o26) + chr(52) + chr(0b110010 + 0o1), 0b1000), ehT0Px3KOsy9(chr(2157 - 2109) + '\x6f' + '\x32' + chr(1339 - 1291) + chr(0b1001 + 0o51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(836 - 786) + '\063' + chr(2877 - 2822), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(490 - 441) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010 + 0o3) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111110 + 0o61) + chr(527 - 477) + chr(55) + chr(1980 - 1927), 17955 - 17947), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(1187 - 1134) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(917 - 869) + chr(0b100001 + 0o25), 16309 - 16301), ehT0Px3KOsy9('\x30' + chr(3393 - 3282) + chr(336 - 287) + '\062' + chr(0b100011 + 0o20), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + '\x31' + chr(0b101101 + 0o10) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + '\063' + chr(0b100001 + 0o26), 42603 - 42595), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110111) + '\066', 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + '\x33' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1757 - 1709) + '\157' + chr(954 - 900) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\x32' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(1448 - 1398) + chr(2351 - 2302), 0b1000), ehT0Px3KOsy9(chr(462 - 414) + '\x6f' + chr(50) + chr(398 - 347) + chr(0b110011 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b110001 + 0o76) + '\063' + chr(0b1 + 0o61) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(7238 - 7127) + chr(0b110001) + chr(51) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(225 - 176) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1101 + 0o45) + chr(0b100010 + 0o17) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(54) + chr(1510 - 1461), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b111110 + 0o61) + chr(0b100 + 0o56) + chr(2244 - 2191) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\065' + chr(0b0 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x36' + '\064', 37948 - 37940), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100101 + 0o15) + chr(53) + chr(52), 8), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(49) + chr(0b110111) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000100 + 0o53) + chr(0b110011) + chr(0b110011 + 0o4) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + '\062' + chr(0b11101 + 0o32) + '\x35', 8), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(4321 - 4210) + chr(0b110110) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + chr(51) + '\x37' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(1314 - 1261) + chr(52 - 4), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110 + 0o60) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(2397 - 2348) + chr(0b110001) + chr(51), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1001001 + 0o46) + '\065' + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e'), chr(2144 - 2044) + chr(7750 - 7649) + '\x63' + '\x6f' + '\x64' + chr(0b1001101 + 0o30))(chr(0b11001 + 0o134) + chr(116) + chr(0b1010 + 0o134) + chr(1701 - 1656) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def dmKe0cdI8pkG(LDEM1Zag9l0P, cMrr2bkEBgTQ, n4ljua2gi1Pr, AIvJRzLdDfgF=xafqLlk3kkUe(SXOLrMavuUCe(b'E\x88\x9c\xd0\x1a\x06\xf0'), chr(100) + chr(101) + chr(9442 - 9343) + '\x6f' + chr(0b1100100) + chr(0b10111 + 0o116))(chr(7000 - 6883) + '\164' + chr(0b1100110) + chr(0b11001 + 0o24) + chr(0b111000)), qpPhEurkAWxO=None, zWaF_2VBEDjk=None, NC2xHNLwzxcH=ehT0Px3KOsy9(chr(692 - 644) + chr(242 - 131) + chr(49), ord("\x08")), eJKWkHA7qzlZ=None, Z0Xug0irmmBU=None):
OeWW0F1dBPRQ = LDEM1Zag9l0P
UNqT6jwzCz6Y = jSKPaHwSAfVv.comma_separated_string_to_integer_list(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'A\x92\x8b\xda\x10\x17\xeb\xf0ev\xd9\xd8\xe9#\x01jJFP\xe4\xbe\xfc\xb7>m\xfaE\xf3Lw\xd9\xdf'), '\144' + chr(101) + chr(0b1100011 + 0o0) + '\x6f' + chr(335 - 235) + chr(1726 - 1625))('\165' + chr(0b1110100) + chr(3684 - 3582) + chr(45) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b''), '\x64' + chr(3917 - 3816) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b1010 + 0o133))('\x75' + chr(116) + '\x66' + '\055' + '\x38')))
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'T\x94\x9e\xd1\r\x05\xed\xedfL\xcf\xf5\xf6!\x07qJ'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101110 + 0o1) + '\144' + chr(101))('\165' + chr(10320 - 10204) + chr(0b1100110) + chr(45) + chr(0b110111 + 0o1)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b"m\xa9\xbb\xfa2<\xca\xcfTg\xe8\xe7\xd9\x1b'[z\\|\xc9\x9d\xdc\x8a\x18^\xda"), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b0 + 0o145))(chr(0b1110101) + chr(0b101000 + 0o114) + '\x66' + chr(0b11111 + 0o16) + '\070')), value=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'r\xb5\xc9\xe6\x15"\xd0\xf0_E\xd8\xe4'), chr(0b1100100) + chr(0b10010 + 0o123) + chr(0b1100011) + chr(111) + chr(0b1111 + 0o125) + chr(0b1100 + 0o131))('\x75' + '\x74' + chr(102) + chr(1499 - 1454) + chr(0b11 + 0o65))) or xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'J\xbc\x97\x8a!\x13\xce\xcadf\xd2\xf0'), chr(100) + chr(6428 - 6327) + '\143' + chr(0b1101111) + '\x64' + '\x65')(chr(12433 - 12316) + chr(11349 - 11233) + '\146' + chr(477 - 432) + '\x38')))
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'T\x94\x9e\xd1\r\x05\xed\xedfL\xcf\xf5\xf6!\x07qJ'), chr(5865 - 5765) + '\145' + chr(2603 - 2504) + chr(0b1101111) + '\144' + '\145')(chr(0b110101 + 0o100) + chr(116) + chr(102) + chr(1638 - 1593) + chr(0b10101 + 0o43)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'm\xa9\xbb\xfa2<\xca\xcfTh\xe9\xfe\xc3\x1d:VqWm\xd2\x83\xd2\x83\x12Y\xdd'), '\144' + chr(0b1100101) + chr(0b1000110 + 0o35) + chr(2861 - 2750) + chr(100) + '\x65')('\x75' + chr(116) + chr(0b1101 + 0o131) + chr(1077 - 1032) + chr(3054 - 2998))), value=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'r\x82\xb2\xed\x0cP\xf3\xf4R@\xd2\xfb'), chr(3873 - 3773) + chr(101) + chr(0b1100011) + '\157' + chr(100) + '\145')(chr(4798 - 4681) + chr(0b1110100) + '\146' + chr(45) + '\x38')))
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'T\x94\x9e\xd1\r\x05\xed\xedfL\xcf\xf5\xf6!\x07qJ'), chr(0b1011111 + 0o5) + chr(4802 - 4701) + '\x63' + chr(0b1101111) + chr(0b100001 + 0o103) + chr(0b1100101))(chr(13412 - 13295) + chr(0b110101 + 0o77) + '\146' + chr(45) + chr(0b111000)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'm\xa9\xbb\xfa2<\xca\xcfTh\xe9\xfe\xc3\x1d:VqWm\xd2\x94\xd3\x80\x18'), chr(9024 - 8924) + chr(101) + chr(0b1100011) + chr(0b101001 + 0o106) + chr(5250 - 5150) + chr(101))('\x75' + chr(116) + chr(3198 - 3096) + chr(1703 - 1658) + chr(0b111000))), value={xafqLlk3kkUe(SXOLrMavuUCe(b'U\x95\x9a\xe0\x1c\n\xe3\xec'), chr(100) + '\x65' + '\143' + '\x6f' + '\x64' + chr(101))(chr(2068 - 1951) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b101 + 0o63)): xafqLlk3kkUe(SXOLrMavuUCe(b'F\x87\x93\xcc\x1b'), chr(2026 - 1926) + '\x65' + chr(99) + chr(5895 - 5784) + chr(0b1100100) + chr(101))(chr(0b1100101 + 0o20) + chr(0b1101000 + 0o14) + chr(0b1100110) + chr(45) + chr(1800 - 1744)), xafqLlk3kkUe(SXOLrMavuUCe(b'N\x93\x92\xe0\x16\x06\xe3\xfbx'), chr(0b1100100) + chr(8007 - 7906) + chr(0b1100001 + 0o2) + chr(0b1011110 + 0o21) + chr(0b110111 + 0o55) + chr(0b1001110 + 0o27))('\165' + '\164' + chr(0b10001 + 0o125) + chr(1451 - 1406) + '\070'): xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'V\xb4\xa9\xce.,\xd8\xaec|\xfa\x9d'), '\144' + chr(8345 - 8244) + chr(0b10101 + 0o116) + chr(111) + chr(2360 - 2260) + chr(0b1100101))('\x75' + chr(9412 - 9296) + chr(102) + chr(0b101101) + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'H\x8f\x9b\xdb\x1b\r\xdd\xecbS\xd8'), '\x64' + chr(101) + '\x63' + chr(4138 - 4027) + '\144' + '\145')(chr(3256 - 3139) + '\x74' + '\x66' + chr(1207 - 1162) + chr(0b111000)): xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'Q\x9c\x90\xc6&-\xb1\xf4oA\xf9\xe6'), chr(100) + '\145' + '\143' + chr(0b1000100 + 0o53) + '\x64' + chr(101))(chr(0b1110100 + 0o1) + '\x74' + '\x66' + chr(45) + chr(0b111000)))})
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'V\x87\x8d\xd6\x1f\x01\xee\xfaTZ\xde\xc5\xf66'), chr(0b1100100) + chr(8036 - 7935) + chr(99) + chr(0b1101111) + '\x64' + chr(3940 - 3839))(chr(10946 - 10829) + '\x74' + chr(2248 - 2146) + chr(0b10100 + 0o31) + chr(2746 - 2690)))(AIvJRzLdDfgF):
if qpPhEurkAWxO is not None:
TFLseEYASEKG = 1.0 - qpPhEurkAWxO
else:
UqieptimmuCP = cMrr2bkEBgTQ
if Z0Xug0irmmBU is not None:
UqieptimmuCP = Z0Xug0irmmBU
TFLseEYASEKG = WOnrfm4dlYcf.attention_bias_to_padding(UqieptimmuCP)
qpPhEurkAWxO = 1.0 - TFLseEYASEKG
bLDzE_zU4vXa = None
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'U\x95\x9a\xe0\x0e\x02\xe6\xc0yL\xd0\xc5\xf06\x1c'), chr(0b1100100) + chr(4545 - 4444) + chr(0b1100011) + chr(0b1101111) + chr(0b1011010 + 0o12) + chr(101))('\x75' + chr(11828 - 11712) + chr(0b1001001 + 0o35) + chr(0b101101 + 0o0) + chr(0b111000))) and (not xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'I\x95\xa0\xc7\x12\x02\xdd\xfcdD\xcd\xc3\xea6\n'), '\144' + chr(0b111000 + 0o55) + chr(99) + '\157' + '\x64' + '\145')(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(2696 - 2640)))()):
bLDzE_zU4vXa = mpdtyez0NuRm.PadRemover(TFLseEYASEKG)
for wgamNHppspXj in vQr8gNKaIaWE(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'r\xb5\xc9\xe6\x15"\xd0\xf0_E\xd8\xe4'), chr(100) + chr(0b1010 + 0o133) + chr(0b1100011) + chr(111) + chr(100) + chr(0b11101 + 0o110))(chr(0b1101000 + 0o15) + chr(7663 - 7547) + '\146' + chr(1461 - 1416) + chr(1399 - 1343))) or xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'J\xbc\x97\x8a!\x13\xce\xcadf\xd2\xf0'), chr(0b1100100) + '\145' + chr(147 - 48) + chr(0b1101111) + '\x64' + chr(0b111110 + 0o47))(chr(0b1110101) + '\164' + '\x66' + chr(0b11000 + 0o25) + chr(56)))):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'V\x87\x8d\xd6\x1f\x01\xee\xfaTZ\xde\xc5\xf66'), chr(0b11011 + 0o111) + chr(5363 - 5262) + chr(0b1100011) + '\x6f' + chr(2952 - 2852) + chr(5253 - 5152))(chr(12937 - 12820) + chr(0b1110100) + '\x66' + chr(862 - 817) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'L\x87\x86\xda\x0c<\xa7\xfb'), chr(0b1100100) + '\x65' + '\143' + chr(111) + chr(0b1100100) + '\x65')('\x75' + '\x74' + '\x66' + '\055' + '\070') % wgamNHppspXj):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'V\x87\x8d\xd6\x1f\x01\xee\xfaTZ\xde\xc5\xf66'), chr(100) + chr(101) + '\143' + chr(0b1101111) + chr(1935 - 1835) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b11110 + 0o32)))(xafqLlk3kkUe(SXOLrMavuUCe(b'S\x83\x93\xd9!\x02\xf6\xebnG\xc9\xc3\xe9='), '\x64' + '\145' + '\x63' + chr(10950 - 10839) + chr(100) + '\x65')(chr(117) + chr(116) + '\x66' + chr(0b101101) + '\x38')):
if wgamNHppspXj < xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'G\x83\x8b'), chr(0b1100100) + chr(101) + '\x63' + chr(0b1011001 + 0o26) + chr(6912 - 6812) + chr(0b1100101))('\165' + chr(0b100101 + 0o117) + chr(0b1100110) + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'N\x93\x92\xe0\x1f\x11\xe7\xfeTE\xdc\xd3\xe3!\x1d'), chr(100) + chr(0b1100101) + '\143' + chr(0b1001111 + 0o40) + chr(0b1100100) + '\145')('\165' + '\x74' + chr(6693 - 6591) + chr(0b10110 + 0o27) + '\x38'), ehT0Px3KOsy9(chr(1431 - 1383) + '\157' + chr(0b100101 + 0o13), 0b1000)):
u6lkO_RiLl5P = n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'M\x87\x87\xe0\x1f\x11\xe7\xfeT^\xd4\xce\xf2;'), chr(0b1100100) + '\x65' + chr(4410 - 4311) + chr(111) + chr(100) + '\x65')('\165' + '\164' + chr(0b1100110) + '\055' + chr(0b111000)), ehT0Px3KOsy9(chr(2232 - 2184) + chr(0b1101111) + chr(0b110001), 8))
b1gSL9RXhjFx = n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'M\x87\x87\xe0\x1f\x11\xe7\xfeTA\xd8\xc3\xe1;\x1a'), chr(100) + chr(101) + chr(816 - 717) + chr(111) + chr(9703 - 9603) + '\x65')(chr(0b1000011 + 0o62) + '\x74' + chr(102) + chr(0b1011 + 0o42) + '\070'), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 8))
RbuxRSqxOlbf = n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'M\x83\x92\xd0\x0c\x1a\xdd\xf7n@\xda\xc2\xf2'), '\x64' + chr(0b101100 + 0o71) + chr(0b1100011) + chr(111) + chr(0b1010100 + 0o20) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1000101 + 0o41) + chr(0b10011 + 0o32) + '\x38'), ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 8))
else:
u6lkO_RiLl5P = ehT0Px3KOsy9('\x30' + '\157' + chr(228 - 179), 8)
b1gSL9RXhjFx = ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(10137 - 10026) + chr(1825 - 1776), 8)
RbuxRSqxOlbf = ehT0Px3KOsy9('\x30' + '\x6f' + '\x31', 8)
SqiSOtYOqOJH = WOnrfm4dlYcf.multihead_attention(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), None, cMrr2bkEBgTQ, n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, n4ljua2gi1Pr.RdMRr3qkYioQ, attention_type=n4ljua2gi1Pr.tbgb2B3hnGPW, max_relative_position=n4ljua2gi1Pr.Fskwuexcn3MJ, heads_share_relative_embedding=n4ljua2gi1Pr.heads_share_relative_embedding, add_relative_to_values=n4ljua2gi1Pr.add_relative_to_values, save_weights_to=zWaF_2VBEDjk, make_image_summary=NC2xHNLwzxcH, dropout_broadcast_dims=UNqT6jwzCz6Y, max_length=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'M\x87\x87\xe0\x12\x06\xec\xf8\x7fA'), chr(0b11 + 0o141) + '\x65' + chr(0b1100011) + chr(0b1010000 + 0o37) + '\x64' + chr(7093 - 6992))(chr(6608 - 6491) + '\164' + chr(0b1010000 + 0o26) + chr(45) + chr(0b111 + 0o61))), vars_3d=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'A\x92\x8b\xda\x10\x17\xeb\xf0ev\xcb\xcb\xf4:\x0f}R|A\xc9\xe2\xf9'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(6601 - 6501) + chr(6075 - 5974))(chr(117) + chr(116) + '\x66' + '\055' + '\x38')), activation_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'A\x85\x8b\xd6\x08\x02\xf6\xf6dG\xe2\xce\xf2*\x1ez'), chr(0b101010 + 0o72) + chr(101) + '\x63' + chr(9267 - 9156) + chr(100) + '\x65')(chr(0b1101 + 0o150) + chr(116) + chr(0b1001000 + 0o36) + chr(45) + chr(1230 - 1174)), xafqLlk3kkUe(SXOLrMavuUCe(b'F\x8a\x90\xde\nP\xb0'), chr(2828 - 2728) + chr(0b1011010 + 0o13) + chr(0b100 + 0o137) + '\157' + '\144' + chr(3713 - 3612))(chr(0b110001 + 0o104) + chr(0b101000 + 0o114) + chr(102) + chr(45) + chr(0b11001 + 0o37))), weight_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'W\x83\x96\xd8\x16\x17\xdd\xfb\x7fP\xcd\xcf'), chr(0b1001010 + 0o32) + chr(0b1100101) + chr(7528 - 7429) + chr(0b1101111) + '\144' + chr(5693 - 5592))(chr(0b1110101) + '\x74' + '\x66' + chr(831 - 786) + chr(0b10011 + 0o45)), xafqLlk3kkUe(SXOLrMavuUCe(b'F\x8a\x90\xde\nP\xb0'), chr(0b1100100) + chr(0b1000 + 0o135) + '\x63' + chr(111) + chr(0b1100100) + chr(8182 - 8081))(chr(0b11110 + 0o127) + '\x74' + chr(102) + chr(0b101101) + chr(1005 - 949))), hard_attention_k=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'H\x87\x8d\xdb!\x02\xf6\xebnG\xc9\xc3\xe9=1t'), chr(2562 - 2462) + '\145' + '\143' + chr(0b1001011 + 0o44) + '\x64' + '\x65')(chr(11801 - 11684) + chr(8544 - 8428) + chr(7429 - 7327) + chr(45) + '\070'), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1011000 + 0o27) + chr(0b100011 + 0o15), 8)), max_area_width=u6lkO_RiLl5P, max_area_height=b1gSL9RXhjFx, memory_height=RbuxRSqxOlbf, area_key_mode=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'A\x94\x9a\xde!\x08\xe7\xe6TD\xd2\xce\xe3'), chr(100) + '\145' + chr(0b1100011) + '\x6f' + chr(483 - 383) + chr(101))(chr(0b1110101) + '\x74' + chr(6881 - 6779) + chr(45) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'N\x89\x91\xda'), '\x64' + '\145' + '\x63' + '\157' + chr(0b1100100) + chr(101))('\165' + chr(116) + chr(0b11010 + 0o114) + chr(0b100110 + 0o7) + chr(0b111000))), area_value_mode=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'A\x94\x9a\xde!\x15\xe3\xf3~L\xe2\xc7\xe97\x0b'), chr(0b1100100) + '\145' + chr(99) + '\157' + chr(0b1100100) + '\145')(chr(4466 - 4349) + chr(0b1010 + 0o152) + chr(102) + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'N\x89\x91\xda'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b1011101 + 0o22) + chr(5635 - 5535) + '\145')(chr(0b1110011 + 0o2) + chr(1364 - 1248) + '\146' + '\x2d' + chr(56))), training=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'M\x89\x9b\xda'), chr(4519 - 4419) + chr(3758 - 3657) + chr(0b1010010 + 0o21) + chr(0b1101111) + chr(6309 - 6209) + chr(101))(chr(12714 - 12597) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(1021 - 965)), IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN) == IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN)
OeWW0F1dBPRQ = jSKPaHwSAfVv.layer_postprocess(OeWW0F1dBPRQ, SqiSOtYOqOJH, n4ljua2gi1Pr)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'V\x87\x8d\xd6\x1f\x01\xee\xfaTZ\xde\xc5\xf66'), chr(0b111100 + 0o50) + '\145' + chr(8032 - 7933) + '\x6f' + chr(100) + chr(0b1100011 + 0o2))('\165' + '\164' + chr(0b1100110) + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'F\x80\x91'), chr(100) + chr(3927 - 3826) + '\x63' + '\157' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(116) + chr(0b11010 + 0o114) + chr(0b101 + 0o50) + '\x38')):
SqiSOtYOqOJH = NOt3oaGYhToM(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), n4ljua2gi1Pr, bLDzE_zU4vXa, conv_padding=xafqLlk3kkUe(SXOLrMavuUCe(b's\xa7\xb2\xfa'), chr(0b1100000 + 0o4) + chr(9296 - 9195) + chr(99) + chr(0b1101111) + chr(100) + chr(1202 - 1101))('\165' + chr(116) + '\x66' + chr(1346 - 1301) + chr(1435 - 1379)), nonpadding_mask=qpPhEurkAWxO, losses=eJKWkHA7qzlZ)
OeWW0F1dBPRQ = jSKPaHwSAfVv.layer_postprocess(OeWW0F1dBPRQ, SqiSOtYOqOJH, n4ljua2gi1Pr)
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'T\x94\x9e\xd1\r\x05\xed\xedfL\xcf\xf5\xf6!\x07qJ'), chr(0b1001010 + 0o32) + chr(101) + chr(99) + chr(8494 - 8383) + chr(100) + '\x65')('\x75' + '\x74' + '\146' + chr(0b100111 + 0o6) + chr(56)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'm\xa9\xbb\xfa2<\xca\xcfTg\xf2\xf8\xcb'), chr(100) + chr(0b1000111 + 0o36) + '\143' + '\157' + chr(7740 - 7640) + '\145')(chr(117) + chr(0b1101000 + 0o14) + chr(0b1100110) + chr(0b10100 + 0o31) + '\x38')), value={xafqLlk3kkUe(SXOLrMavuUCe(b'H\x8f\x9b\xdb\x1b\r\xdd\xecbS\xd8'), '\144' + chr(0b1100101) + chr(99) + chr(7034 - 6923) + '\x64' + chr(101))(chr(0b1010001 + 0o44) + chr(0b1101 + 0o147) + chr(0b1100110) + '\x2d' + chr(0b111000)): xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'Q\x9c\x90\xc6&-\xb1\xf4oA\xf9\xe6'), '\x64' + chr(0b1100101) + '\x63' + chr(12208 - 12097) + chr(100) + chr(3568 - 3467))(chr(117) + chr(7733 - 7617) + chr(102) + chr(0b101101 + 0o0) + '\x38'))})
return xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'L\x87\x86\xda\x0c<\xf2\xednY\xcf\xc5\xe56\x1dl'), chr(0b11100 + 0o110) + chr(2202 - 2101) + chr(2786 - 2687) + chr(111) + chr(3271 - 3171) + chr(0b1100101))('\165' + chr(116) + chr(102) + chr(634 - 589) + chr(56)))(OeWW0F1dBPRQ, n4ljua2gi1Pr)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/transformer_layers.py
|
transformer_ffn_layer
|
def transformer_ffn_layer(x,
hparams,
pad_remover=None,
conv_padding="LEFT",
nonpadding_mask=None,
losses=None,
cache=None,
decode_loop_step=None,
readout_filter_size=0,
layer_collection=None):
"""Feed-forward layer in the transformer.
Args:
x: a Tensor of shape [batch_size, length, hparams.hidden_size]
hparams: hyperparameters for model
pad_remover: an expert_utils.PadRemover object tracking the padding
positions. If provided, when using convolutional settings, the padding
is removed before applying the convolution, and restored afterward. This
can give a significant speedup.
conv_padding: a string - either "LEFT" or "SAME".
nonpadding_mask: an optional Tensor with shape [batch_size, length].
needed for convolutional layers with "SAME" padding.
Contains 1.0 in positions corresponding to nonpadding.
losses: optional list onto which to append extra training losses
cache: dict, containing tensors which are the results of previous
attentions, used for fast decoding.
decode_loop_step: An integer, step number of the decoding loop.
Only used for inference on TPU.
readout_filter_size: if it's greater than 0, then it will be used instead of
filter_size
layer_collection: A tensorflow_kfac.LayerCollection. Only used by the
KFAC optimizer. Default is None.
Returns:
a Tensor of shape [batch_size, length, hparams.hidden_size]
Raises:
ValueError: If losses arg is None, but layer generates extra losses.
"""
ffn_layer = hparams.ffn_layer
relu_dropout_broadcast_dims = (
common_layers.comma_separated_string_to_integer_list(
getattr(hparams, "relu_dropout_broadcast_dims", "")))
if ffn_layer == "conv_hidden_relu":
# Backwards compatibility
ffn_layer = "dense_relu_dense"
if ffn_layer == "dense_relu_dense":
# In simple convolution mode, use `pad_remover` to speed up processing.
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_FFN_FILTER_DENSE,
value={
"filter_size": hparams.filter_size,
"use_bias": "True",
"activation": mlperf_log.RELU
})
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_FFN_OUTPUT_DENSE,
value={
"hidden_size": hparams.hidden_size,
"use_bias": "True",
})
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_RELU_DROPOUT, value=hparams.relu_dropout)
if pad_remover:
original_shape = common_layers.shape_list(x)
# Collapse `x` across examples, and remove padding positions.
x = tf.reshape(x, tf.concat([[-1], original_shape[2:]], axis=0))
x = tf.expand_dims(pad_remover.remove(x), axis=0)
conv_output = common_layers.dense_relu_dense(
x,
hparams.filter_size,
hparams.hidden_size,
dropout=hparams.relu_dropout,
dropout_broadcast_dims=relu_dropout_broadcast_dims,
layer_collection=layer_collection)
if pad_remover:
# Restore `conv_output` to the original shape of `x`, including padding.
conv_output = tf.reshape(
pad_remover.restore(tf.squeeze(conv_output, axis=0)), original_shape)
return conv_output
elif ffn_layer == "conv_relu_conv":
return common_layers.conv_relu_conv(
x,
readout_filter_size or hparams.filter_size,
hparams.hidden_size,
first_kernel_size=hparams.conv_first_kernel,
second_kernel_size=1,
padding=conv_padding,
nonpadding_mask=nonpadding_mask,
dropout=hparams.relu_dropout,
cache=cache,
decode_loop_step=decode_loop_step)
elif ffn_layer == "parameter_attention":
return common_attention.parameter_attention(
x, hparams.parameter_attention_key_channels or hparams.hidden_size,
hparams.parameter_attention_value_channels or hparams.hidden_size,
hparams.hidden_size, readout_filter_size or hparams.filter_size,
hparams.num_heads,
hparams.attention_dropout)
elif ffn_layer == "conv_hidden_relu_with_sepconv":
return common_layers.conv_hidden_relu(
x,
readout_filter_size or hparams.filter_size,
hparams.hidden_size,
kernel_size=(3, 1),
second_kernel_size=(31, 1),
padding="LEFT",
dropout=hparams.relu_dropout)
elif ffn_layer == "sru":
return common_layers.sru(x)
elif ffn_layer == "local_moe_tpu":
overhead = hparams.moe_overhead_eval
if hparams.mode == tf.estimator.ModeKeys.TRAIN:
overhead = hparams.moe_overhead_train
ret, loss = expert_utils.local_moe_tpu(
x,
hparams.filter_size // 2,
hparams.hidden_size,
hparams.moe_num_experts,
overhead=overhead,
loss_coef=hparams.moe_loss_coef)
elif ffn_layer == "local_moe":
overhead = hparams.moe_overhead_eval
if hparams.mode == tf.estimator.ModeKeys.TRAIN:
overhead = hparams.moe_overhead_train
ret, loss = expert_utils.local_moe(
x,
True,
expert_utils.ffn_expert_fn(hparams.hidden_size, [hparams.filter_size],
hparams.hidden_size),
hparams.moe_num_experts,
k=hparams.moe_k,
hparams=hparams)
losses.append(loss)
return ret
else:
assert ffn_layer == "none"
return x
|
python
|
def transformer_ffn_layer(x,
hparams,
pad_remover=None,
conv_padding="LEFT",
nonpadding_mask=None,
losses=None,
cache=None,
decode_loop_step=None,
readout_filter_size=0,
layer_collection=None):
"""Feed-forward layer in the transformer.
Args:
x: a Tensor of shape [batch_size, length, hparams.hidden_size]
hparams: hyperparameters for model
pad_remover: an expert_utils.PadRemover object tracking the padding
positions. If provided, when using convolutional settings, the padding
is removed before applying the convolution, and restored afterward. This
can give a significant speedup.
conv_padding: a string - either "LEFT" or "SAME".
nonpadding_mask: an optional Tensor with shape [batch_size, length].
needed for convolutional layers with "SAME" padding.
Contains 1.0 in positions corresponding to nonpadding.
losses: optional list onto which to append extra training losses
cache: dict, containing tensors which are the results of previous
attentions, used for fast decoding.
decode_loop_step: An integer, step number of the decoding loop.
Only used for inference on TPU.
readout_filter_size: if it's greater than 0, then it will be used instead of
filter_size
layer_collection: A tensorflow_kfac.LayerCollection. Only used by the
KFAC optimizer. Default is None.
Returns:
a Tensor of shape [batch_size, length, hparams.hidden_size]
Raises:
ValueError: If losses arg is None, but layer generates extra losses.
"""
ffn_layer = hparams.ffn_layer
relu_dropout_broadcast_dims = (
common_layers.comma_separated_string_to_integer_list(
getattr(hparams, "relu_dropout_broadcast_dims", "")))
if ffn_layer == "conv_hidden_relu":
# Backwards compatibility
ffn_layer = "dense_relu_dense"
if ffn_layer == "dense_relu_dense":
# In simple convolution mode, use `pad_remover` to speed up processing.
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_FFN_FILTER_DENSE,
value={
"filter_size": hparams.filter_size,
"use_bias": "True",
"activation": mlperf_log.RELU
})
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_FFN_OUTPUT_DENSE,
value={
"hidden_size": hparams.hidden_size,
"use_bias": "True",
})
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_RELU_DROPOUT, value=hparams.relu_dropout)
if pad_remover:
original_shape = common_layers.shape_list(x)
# Collapse `x` across examples, and remove padding positions.
x = tf.reshape(x, tf.concat([[-1], original_shape[2:]], axis=0))
x = tf.expand_dims(pad_remover.remove(x), axis=0)
conv_output = common_layers.dense_relu_dense(
x,
hparams.filter_size,
hparams.hidden_size,
dropout=hparams.relu_dropout,
dropout_broadcast_dims=relu_dropout_broadcast_dims,
layer_collection=layer_collection)
if pad_remover:
# Restore `conv_output` to the original shape of `x`, including padding.
conv_output = tf.reshape(
pad_remover.restore(tf.squeeze(conv_output, axis=0)), original_shape)
return conv_output
elif ffn_layer == "conv_relu_conv":
return common_layers.conv_relu_conv(
x,
readout_filter_size or hparams.filter_size,
hparams.hidden_size,
first_kernel_size=hparams.conv_first_kernel,
second_kernel_size=1,
padding=conv_padding,
nonpadding_mask=nonpadding_mask,
dropout=hparams.relu_dropout,
cache=cache,
decode_loop_step=decode_loop_step)
elif ffn_layer == "parameter_attention":
return common_attention.parameter_attention(
x, hparams.parameter_attention_key_channels or hparams.hidden_size,
hparams.parameter_attention_value_channels or hparams.hidden_size,
hparams.hidden_size, readout_filter_size or hparams.filter_size,
hparams.num_heads,
hparams.attention_dropout)
elif ffn_layer == "conv_hidden_relu_with_sepconv":
return common_layers.conv_hidden_relu(
x,
readout_filter_size or hparams.filter_size,
hparams.hidden_size,
kernel_size=(3, 1),
second_kernel_size=(31, 1),
padding="LEFT",
dropout=hparams.relu_dropout)
elif ffn_layer == "sru":
return common_layers.sru(x)
elif ffn_layer == "local_moe_tpu":
overhead = hparams.moe_overhead_eval
if hparams.mode == tf.estimator.ModeKeys.TRAIN:
overhead = hparams.moe_overhead_train
ret, loss = expert_utils.local_moe_tpu(
x,
hparams.filter_size // 2,
hparams.hidden_size,
hparams.moe_num_experts,
overhead=overhead,
loss_coef=hparams.moe_loss_coef)
elif ffn_layer == "local_moe":
overhead = hparams.moe_overhead_eval
if hparams.mode == tf.estimator.ModeKeys.TRAIN:
overhead = hparams.moe_overhead_train
ret, loss = expert_utils.local_moe(
x,
True,
expert_utils.ffn_expert_fn(hparams.hidden_size, [hparams.filter_size],
hparams.hidden_size),
hparams.moe_num_experts,
k=hparams.moe_k,
hparams=hparams)
losses.append(loss)
return ret
else:
assert ffn_layer == "none"
return x
|
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Feed-forward layer in the transformer.
Args:
x: a Tensor of shape [batch_size, length, hparams.hidden_size]
hparams: hyperparameters for model
pad_remover: an expert_utils.PadRemover object tracking the padding
positions. If provided, when using convolutional settings, the padding
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conv_padding: a string - either "LEFT" or "SAME".
nonpadding_mask: an optional Tensor with shape [batch_size, length].
needed for convolutional layers with "SAME" padding.
Contains 1.0 in positions corresponding to nonpadding.
losses: optional list onto which to append extra training losses
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attentions, used for fast decoding.
decode_loop_step: An integer, step number of the decoding loop.
Only used for inference on TPU.
readout_filter_size: if it's greater than 0, then it will be used instead of
filter_size
layer_collection: A tensorflow_kfac.LayerCollection. Only used by the
KFAC optimizer. Default is None.
Returns:
a Tensor of shape [batch_size, length, hparams.hidden_size]
Raises:
ValueError: If losses arg is None, but layer generates extra losses.
|
[
"Feed",
"-",
"forward",
"layer",
"in",
"the",
"transformer",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/transformer_layers.py#L242-L380
|
train
|
Feed - forward layer in the transformer.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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' + '\x33' + '\x37' + chr(2295 - 2247), 0o10), ehT0Px3KOsy9('\060' + chr(5694 - 5583) + chr(0b11 + 0o56) + '\067' + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(9570 - 9459) + chr(2299 - 2250) + '\x37' + chr(0b11110 + 0o27), 57538 - 57530), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b110010 + 0o5) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(60 - 9) + chr(48) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2551 - 2498) + chr(1309 - 1259), 26477 - 26469), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x37' + chr(1415 - 1366), 0b1000), ehT0Px3KOsy9(chr(1132 - 1084) + '\157' + chr(53) + chr(0b1 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b1010 + 0o47) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(893 - 842) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1968 - 1920) + '\157' + chr(2400 - 2351) + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + '\061' + chr(0b1000 + 0o56) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(5305 - 5194) + chr(0b11110 + 0o25) + chr(0b110011) + chr(0b110001), 27427 - 27419), ehT0Px3KOsy9(chr(0b110000) + chr(0b110110 + 0o71) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(1844 - 1789) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(1164 - 1053) + '\066' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(6180 - 6069) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(242 - 194) + chr(111) + '\x37' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(363 - 252) + chr(1844 - 1793) + '\066' + '\061', 33689 - 33681), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b11101 + 0o31) + chr(0b110011), 38462 - 38454), ehT0Px3KOsy9(chr(48) + '\157' + chr(1521 - 1470) + chr(0b110001) + chr(2115 - 2064), 18507 - 18499), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110100) + chr(1456 - 1406), 64807 - 64799), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b111 + 0o52) + chr(0b110010) + chr(0b10000 + 0o44), 32492 - 32484), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11111 + 0o24) + chr(2076 - 2025) + chr(388 - 340), 56773 - 56765), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(50) + '\x34', 8), ehT0Px3KOsy9(chr(1680 - 1632) + '\x6f' + chr(51) + chr(50) + chr(1876 - 1826), 31449 - 31441), ehT0Px3KOsy9(chr(0b110000) + chr(279 - 168) + chr(0b10100 + 0o42) + chr(0b110011), 43756 - 43748), ehT0Px3KOsy9('\060' + '\157' + chr(2503 - 2451) + chr(0b11011 + 0o30), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\063' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1678 - 1630) + chr(0b1011000 + 0o27) + chr(1527 - 1478) + '\x33' + '\x32', 35212 - 35204), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010010 + 0o35) + chr(49) + '\x37' + '\062', 31696 - 31688), ehT0Px3KOsy9(chr(1898 - 1850) + '\157' + chr(0b110001) + '\061' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(0b110011) + chr(0b100 + 0o56) + chr(52), 58832 - 58824), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(5489 - 5378) + chr(0b100001 + 0o21) + chr(0b101110 + 0o3) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11996 - 11885) + '\062' + '\x35' + chr(0b110010 + 0o3), 23366 - 23358), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + '\062' + chr(0b110111) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(118 - 7) + chr(0b110010) + chr(0b110111), 11792 - 11784), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100 + 0o56) + '\x36' + chr(1431 - 1377), 38033 - 38025), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + '\063' + '\x36' + chr(51), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\065' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6'), chr(100) + chr(101) + chr(99) + chr(7682 - 7571) + chr(0b1100100) + chr(2244 - 2143))(chr(0b11010 + 0o133) + chr(0b1011111 + 0o25) + chr(102) + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NOt3oaGYhToM(OeWW0F1dBPRQ, n4ljua2gi1Pr, bLDzE_zU4vXa=None, TyHlI6S_0S7C=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb49;\xea'), chr(100) + chr(0b1100101) + chr(0b10001 + 0o122) + chr(0b1100010 + 0o15) + chr(0b100010 + 0o102) + chr(101))(chr(117) + '\164' + chr(102) + chr(702 - 657) + '\x38'), UyiM64E6iSsw=None, eJKWkHA7qzlZ=None, j1lPDdxcDbRB=None, Et0FYCPsowFY=None, vu69kjBCh2av=ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + '\060', 8), QhNZfIyyHZe2=None):
SH5PH2T7PEUB = n4ljua2gi1Pr.SH5PH2T7PEUB
xC8v_AiQ1DCT = jSKPaHwSAfVv.comma_separated_string_to_integer_list(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x19\x11\xcb\x9cN\x0bF:\xf3z\x04\x86b\xceXf]\x92\xd2\xb8\x96\x0b\xbc=\xbf@'), '\144' + '\145' + '\143' + '\157' + chr(0b1100000 + 0o4) + chr(0b11100 + 0o111))('\x75' + chr(0b1100 + 0o150) + chr(0b11000 + 0o116) + '\x2d' + chr(2772 - 2716)), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(100) + chr(0b1100101) + '\x63' + chr(7361 - 7250) + '\144' + chr(101))(chr(0b1011011 + 0o32) + chr(8971 - 8855) + chr(102) + '\055' + '\070')))
if SH5PH2T7PEUB == xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x13\x13\xc8\x9cB\x10M.\xf9a/\xabe\xd0B'), chr(4700 - 4600) + '\145' + chr(99) + chr(0b1010101 + 0o32) + '\144' + chr(0b100101 + 0o100))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38'):
SH5PH2T7PEUB = xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x19\x13\xcd\xa6u\x0bL&\xe9P\x14\xbcn\xcfR'), chr(100) + chr(0b1100101 + 0o0) + chr(99) + '\157' + '\x64' + chr(101))(chr(6106 - 5989) + chr(116) + chr(0b1100110) + '\055' + '\x38')
if SH5PH2T7PEUB == xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x19\x13\xcd\xa6u\x0bL&\xe9P\x14\xbcn\xcfR'), chr(0b1100100) + chr(7714 - 7613) + chr(0b100001 + 0o102) + '\157' + chr(0b1100100) + chr(101))(chr(0b10100 + 0o141) + chr(0b1110100) + chr(0b1000 + 0o136) + chr(45) + chr(56)):
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b"\x8c\x0e\x1c\xd0\xb0L\x16['\xf9}/\xa9r\xd5Ys"), '\x64' + '\145' + chr(99) + chr(0b1011001 + 0o26) + '\144' + chr(9650 - 9549))('\165' + chr(0b1110100) + chr(8042 - 7940) + chr(45) + '\x38'))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb539\xfb\x8fu1y\x15\xdaI>\x86F\xf5{S|\xa3\xec\x8f\xa7\x1a\x8b\x11'), chr(100) + '\x65' + chr(99) + chr(0b110001 + 0o76) + chr(0b111100 + 0o50) + '\x65')('\165' + chr(7915 - 7799) + chr(102) + '\055' + chr(0b111000))), value={xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x15\x11\xca\xa6X&Z#\xe6j'), chr(100) + '\x65' + chr(99) + '\x6f' + chr(0b1100100) + '\145')(chr(0b1010110 + 0o37) + chr(116) + chr(102) + chr(0b101101) + chr(0b111000)): xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x19\x04\xdc\x9b\x127cz\xf3J9'), chr(100) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1100100) + chr(0b110100 + 0o61))(chr(9383 - 9266) + '\164' + chr(0b1100110) + chr(970 - 925) + chr(1795 - 1739))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x0f\x18\xe1\xa1C\x18Z'), chr(100) + '\x65' + chr(0b1100011) + chr(111) + chr(0b1010011 + 0o21) + chr(0b111 + 0o136))(chr(0b1100110 + 0o17) + chr(4131 - 4015) + '\x66' + chr(141 - 96) + chr(928 - 872)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\x0e\x08\xdb'), '\x64' + chr(5641 - 5540) + chr(0b100110 + 0o75) + chr(0b1010010 + 0o35) + '\x64' + chr(0b1100101))(chr(0b10011 + 0o142) + chr(0b10001 + 0o143) + chr(539 - 437) + '\055' + chr(463 - 407)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\x1f\t\xd7\xb5K\r@%\xf2'), chr(0b1100100) + '\145' + chr(99) + chr(111) + '\x64' + '\145')('\x75' + '\164' + chr(0b1011001 + 0o15) + chr(0b1111 + 0o36) + '\070'): xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa91\xeb'), chr(0b11 + 0o141) + chr(101) + chr(0b11101 + 0o106) + chr(2521 - 2410) + '\x64' + '\x65')(chr(0b101001 + 0o114) + chr(0b1101011 + 0o11) + chr(0b1011000 + 0o16) + '\x2d' + chr(0b111000)))})
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b"\x8c\x0e\x1c\xd0\xb0L\x16['\xf9}/\xa9r\xd5Ys"), '\144' + '\145' + chr(0b1100011) + '\157' + '\x64' + chr(8605 - 8504))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b11000 + 0o25) + chr(2958 - 2902)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb539\xfb\x8fu1y\x15\xdaI>\x86O\xe9cWl\xa5\xec\x8f\xa7\x1a\x8b\x11'), chr(0b11110 + 0o106) + '\145' + chr(8126 - 8027) + chr(0b1110 + 0o141) + '\x64' + '\x65')('\x75' + '\x74' + chr(0b1100110) + chr(648 - 603) + '\070')), value={xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x15\x19\xda\xa6D&Z#\xe6j'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(2989 - 2889) + '\145')('\165' + chr(0b1110100) + '\146' + chr(45) + chr(1832 - 1776)): xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\x06\x12\xc7\x9bdJB.\xf4K<'), chr(0b1100010 + 0o2) + chr(0b1001111 + 0o26) + chr(99) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(3462 - 3360) + '\055' + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x0f\x18\xe1\xa1C\x18Z'), chr(0b1011110 + 0o6) + '\x65' + '\143' + '\157' + '\x64' + '\145')('\x75' + '\x74' + chr(102) + chr(0b1 + 0o54) + '\x38'): xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\x0e\x08\xdb'), chr(0b1100100) + chr(0b1000000 + 0o45) + chr(0b1100011) + chr(111) + '\144' + '\x65')(chr(11076 - 10959) + chr(116) + chr(0b1000010 + 0o44) + chr(0b101101) + chr(2543 - 2487))})
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b"\x8c\x0e\x1c\xd0\xb0L\x16['\xf9}/\xa9r\xd5Ys"), chr(100) + '\145' + chr(0b1100011) + '\x6f' + chr(0b110000 + 0o64) + chr(101))(chr(0b1011010 + 0o33) + '\x74' + chr(0b101111 + 0o67) + chr(210 - 165) + chr(2159 - 2103)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb539\xfb\x8fu1y\x15\xceJ<\x8c_\xf8eHi\xbe\xe6\x9f'), '\144' + '\x65' + '\x63' + chr(111) + chr(0b1100100) + chr(9365 - 9264))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b100 + 0o51) + chr(0b111000))), value=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa86\x1e\x8e\x93d\x1dk$\xcfn\x17'), '\144' + chr(3583 - 3482) + chr(0b1100011) + chr(1864 - 1753) + chr(0b1011 + 0o131) + chr(0b1100101))('\165' + chr(0b11 + 0o161) + '\146' + chr(0b101101) + '\x38')))
if bLDzE_zU4vXa:
uoX0EqIBJxTx = jSKPaHwSAfVv.shape_list(OeWW0F1dBPRQ)
OeWW0F1dBPRQ = IDJ2eXGCBCDu.reshape(OeWW0F1dBPRQ, IDJ2eXGCBCDu.concat([[-ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31', 8)], uoX0EqIBJxTx[ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(50), 0o10):]], axis=ehT0Px3KOsy9('\x30' + chr(2165 - 2054) + chr(758 - 710), 8)))
OeWW0F1dBPRQ = IDJ2eXGCBCDu.expand_dims(bLDzE_zU4vXa.remove(OeWW0F1dBPRQ), axis=ehT0Px3KOsy9(chr(48) + '\157' + '\x30', 8))
qcRBunhsHQIo = jSKPaHwSAfVv.dense_relu_dense(OeWW0F1dBPRQ, n4ljua2gi1Pr.deybX8NJ0oEI, n4ljua2gi1Pr.qzoyXN3kdhDL, dropout=n4ljua2gi1Pr.PJc0PNdBnSag, dropout_broadcast_dims=xC8v_AiQ1DCT, layer_collection=QhNZfIyyHZe2)
if bLDzE_zU4vXa:
qcRBunhsHQIo = IDJ2eXGCBCDu.reshape(bLDzE_zU4vXa.restore(IDJ2eXGCBCDu.squeeze(qcRBunhsHQIo, axis=ehT0Px3KOsy9('\060' + chr(0b1100111 + 0o10) + '\060', 8))), uoX0EqIBJxTx)
return qcRBunhsHQIo
elif SH5PH2T7PEUB == xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x13\x13\xc8\x9cX\x1cE?\xc3l\x1f\xb7v'), chr(0b1100100) + chr(0b1011 + 0o132) + chr(3532 - 3433) + chr(0b10001 + 0o136) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101 + 0o0) + chr(0b11000 + 0o134) + chr(0b1100110) + chr(45) + '\x38'):
return xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x13\x13\xc8\x9cX\x1cE?\xc3l\x1f\xb7v'), chr(100) + '\145' + chr(2951 - 2852) + '\157' + chr(100) + chr(7867 - 7766))('\165' + chr(116) + chr(0b100110 + 0o100) + chr(45) + chr(0b111000)))(OeWW0F1dBPRQ, vu69kjBCh2av or xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x19\x04\xdc\x9b\x127cz\xf3J9'), chr(100) + '\x65' + chr(0b1100011) + '\157' + chr(0b1001011 + 0o31) + chr(0b101000 + 0o75))(chr(117) + chr(11902 - 11786) + '\x66' + '\x2d' + chr(1193 - 1137))), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\x06\x12\xc7\x9bdJB.\xf4K<'), '\144' + '\145' + chr(6849 - 6750) + '\x6f' + chr(100) + chr(0b1100101))('\165' + chr(116) + '\146' + '\x2d' + chr(56))), first_kernel_size=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbaDO\xfd\xbb\x13+X\x19\xaf=G'), chr(7727 - 7627) + chr(5107 - 5006) + '\143' + chr(0b1001101 + 0o42) + chr(7234 - 7134) + chr(7078 - 6977))(chr(0b1110101) + chr(0b1110100) + chr(0b1 + 0o145) + chr(0b101101) + '\x38')), second_kernel_size=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 8), padding=TyHlI6S_0S7C, nonpadding_mask=UyiM64E6iSsw, dropout=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa86\x1e\x8e\x93d\x1dk$\xcfn\x17'), chr(0b1100100) + chr(4404 - 4303) + chr(1789 - 1690) + chr(0b110001 + 0o76) + chr(0b1111 + 0o125) + chr(0b1100101))('\x75' + chr(116) + '\146' + chr(45) + chr(0b11000 + 0o40))), cache=j1lPDdxcDbRB, decode_loop_step=Et0FYCPsowFY)
elif SH5PH2T7PEUB == xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\x1d\x0f\xdf\xaeO\rL8\xc3n\x04\xade\xd2CnV\x9f'), chr(100) + chr(8491 - 8390) + chr(99) + '\157' + chr(9223 - 9123) + chr(5156 - 5055))(chr(0b100001 + 0o124) + '\x74' + chr(102) + '\x2d' + '\x38'):
return xafqLlk3kkUe(WOnrfm4dlYcf, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\x1d\x0f\xdf\xaeO\rL8\xc3n\x04\xade\xd2CnV\x9f'), chr(0b1001010 + 0o32) + '\145' + chr(172 - 73) + chr(0b1100000 + 0o17) + chr(0b1100100) + '\x65')('\x75' + chr(116) + '\x66' + chr(45) + '\x38'))(OeWW0F1dBPRQ, xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\x1d\x0f\xdf\xaeO\rL8\xc3n\x04\xade\xd2CnV\x9f\xec\xa0\x87-\x877\xbaRM6?\x16<'), '\144' + chr(101) + '\x63' + '\157' + '\x64' + chr(0b1100101))('\x75' + chr(116) + chr(0b1100110) + chr(45) + chr(56))) or xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\x06\x12\xc7\x9bdJB.\xf4K<'), '\144' + chr(101) + '\143' + '\157' + chr(100) + chr(0b11101 + 0o110))('\x75' + '\164' + chr(102) + chr(45) + chr(0b111000))), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\x1d\x0f\xdf\xaeO\rL8\xc3n\x04\xade\xd2CnV\x9f\xec\xbd\x838\xad1\x8dPK94\x14*\xb8\xfd'), chr(9603 - 9503) + chr(2374 - 2273) + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')(chr(117) + '\164' + '\146' + '\055' + '\x38')) or xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\x06\x12\xc7\x9bdJB.\xf4K<'), chr(4973 - 4873) + '\x65' + chr(0b111011 + 0o50) + '\157' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1011000 + 0o34) + chr(0b0 + 0o146) + chr(0b100011 + 0o12) + '\070')), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\x06\x12\xc7\x9bdJB.\xf4K<'), chr(6862 - 6762) + chr(0b1000101 + 0o40) + '\143' + '\x6f' + chr(100) + chr(0b10001 + 0o124))('\x75' + chr(0b1110100) + chr(102) + '\x2d' + chr(1258 - 1202))), vu69kjBCh2av or xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x19\x04\xdc\x9b\x127cz\xf3J9'), chr(100) + '\145' + chr(99) + chr(111) + chr(0b110010 + 0o62) + chr(0b1100101))(chr(117) + '\164' + chr(0b10000 + 0o126) + chr(535 - 490) + chr(56))), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e.+\xcf\x93e#\x18"\xc9HG'), chr(0b1100100) + chr(0b1000110 + 0o37) + chr(8514 - 8415) + chr(9559 - 9448) + chr(0b101110 + 0o66) + '\x65')(chr(0b1100100 + 0o21) + chr(5023 - 4907) + '\146' + '\x2d' + chr(56))), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\x180\xec\xb1\x19\x08B\x13\xf5`!'), '\x64' + chr(0b1100101) + '\x63' + chr(111) + '\x64' + chr(1444 - 1343))('\x75' + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b11011 + 0o35))))
elif SH5PH2T7PEUB == xafqLlk3kkUe(SXOLrMavuUCe(b"\x9b\x13\x13\xc8\x9cB\x10M.\xf9a/\xabe\xd0BXN\x98\xc7\xa3\xbd'\xbd$\xb1\\M."), chr(5029 - 4929) + '\145' + chr(99) + chr(111) + chr(100) + chr(0b1100101))(chr(1115 - 998) + chr(10806 - 10690) + '\146' + chr(0b101011 + 0o2) + '\070'):
return xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x13\x13\xc8\x9cB\x10M.\xf9a/\xabe\xd0B'), chr(100) + chr(2409 - 2308) + '\143' + '\157' + chr(100) + chr(0b1000110 + 0o37))('\165' + chr(8116 - 8000) + chr(0b1100101 + 0o1) + '\x2d' + chr(0b111000)))(OeWW0F1dBPRQ, vu69kjBCh2av or xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x19\x04\xdc\x9b\x127cz\xf3J9'), '\144' + chr(0b110001 + 0o64) + chr(0b110110 + 0o55) + '\x6f' + '\x64' + chr(0b1100001 + 0o4))(chr(11922 - 11805) + chr(0b1110100) + chr(102) + chr(1491 - 1446) + chr(0b111000))), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\x06\x12\xc7\x9bdJB.\xf4K<'), chr(0b1100100) + '\x65' + chr(1141 - 1042) + '\157' + chr(7138 - 7038) + chr(0b1101 + 0o130))('\165' + chr(0b1110100) + chr(5585 - 5483) + chr(45) + '\x38')), kernel_size=(ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2595 - 2544), ord("\x08")), ehT0Px3KOsy9(chr(2033 - 1985) + chr(0b1101111) + chr(0b110001), 8)), second_kernel_size=(ehT0Px3KOsy9('\060' + chr(12065 - 11954) + chr(0b11111 + 0o24) + '\x37', 0o10), ehT0Px3KOsy9(chr(560 - 512) + chr(111) + '\x31', 8)), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb49;\xea'), chr(100) + chr(4005 - 3904) + chr(0b10011 + 0o120) + '\157' + chr(0b1100100) + '\x65')(chr(0b1110101) + '\164' + chr(0b1100110) + chr(45) + chr(0b111000)), dropout=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa86\x1e\x8e\x93d\x1dk$\xcfn\x17'), chr(0b1000110 + 0o36) + '\x65' + '\143' + chr(111) + chr(0b1100010 + 0o2) + chr(101))(chr(0b1011001 + 0o34) + chr(0b1110100) + '\146' + chr(0b101101) + chr(56))))
elif SH5PH2T7PEUB == xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x0e\x08'), '\144' + chr(0b1100101) + chr(5584 - 5485) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101 + 0o0) + '\x74' + '\146' + chr(1175 - 1130) + chr(0b11010 + 0o36)):
return xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x0e\x08'), '\144' + chr(101) + chr(99) + chr(4554 - 4443) + chr(0b1100100) + '\x65')('\x75' + chr(116) + chr(0b1010000 + 0o26) + chr(45) + '\070'))(OeWW0F1dBPRQ)
elif SH5PH2T7PEUB == xafqLlk3kkUe(SXOLrMavuUCe(b'\x94\x13\x1e\xdf\xafu\x14F/\xc3{\x00\xac'), '\x64' + chr(101) + chr(99) + chr(9701 - 9590) + chr(100) + '\x65')('\x75' + chr(116) + chr(0b10010 + 0o124) + '\055' + chr(2917 - 2861)):
DuxXqaFDM_wB = n4ljua2gi1Pr.moe_overhead_eval
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\x13\x19\xdb'), '\x64' + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(8742 - 8642) + '\145')(chr(0b11 + 0o162) + '\164' + chr(6102 - 6000) + chr(0b101101) + chr(0b100010 + 0o26))) == xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac.<\xf7\x8d'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1000110 + 0o51) + chr(100) + chr(101))(chr(0b1101011 + 0o12) + '\164' + chr(102) + chr(0b101101) + '\x38')):
DuxXqaFDM_wB = n4ljua2gi1Pr.moe_overhead_train
(VHn4CV4Ymrei, YpO0BcZ6fMsf) = mpdtyez0NuRm.local_moe_tpu(OeWW0F1dBPRQ, n4ljua2gi1Pr.deybX8NJ0oEI // ehT0Px3KOsy9(chr(473 - 425) + '\157' + '\x32', 8), n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.r99iQzD4Y8i3, overhead=DuxXqaFDM_wB, loss_coef=n4ljua2gi1Pr.VMsZZrjA_RNt)
elif SH5PH2T7PEUB == xafqLlk3kkUe(SXOLrMavuUCe(b'\x94\x13\x1e\xdf\xafu\x14F/'), chr(0b1100100) + chr(3850 - 3749) + chr(914 - 815) + chr(0b11110 + 0o121) + '\144' + '\145')(chr(5774 - 5657) + chr(0b1110100) + chr(102) + '\055' + '\070'):
DuxXqaFDM_wB = n4ljua2gi1Pr.moe_overhead_eval
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\x13\x19\xdb'), chr(100) + '\x65' + chr(0b111100 + 0o47) + chr(7846 - 7735) + chr(6516 - 6416) + '\145')(chr(117) + chr(0b1110100) + '\146' + chr(45) + chr(0b110111 + 0o1))) == xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac.<\xf7\x8d'), '\144' + '\x65' + chr(0b1100011) + '\157' + chr(100) + '\x65')(chr(117) + chr(116) + chr(0b1000000 + 0o46) + chr(0b101000 + 0o5) + chr(0b110010 + 0o6))):
DuxXqaFDM_wB = n4ljua2gi1Pr.moe_overhead_train
(VHn4CV4Ymrei, YpO0BcZ6fMsf) = mpdtyez0NuRm.local_moe(OeWW0F1dBPRQ, ehT0Px3KOsy9(chr(48) + chr(8795 - 8684) + chr(49), 8), mpdtyez0NuRm.ffn_expert_fn(n4ljua2gi1Pr.qzoyXN3kdhDL, [n4ljua2gi1Pr.deybX8NJ0oEI], n4ljua2gi1Pr.qzoyXN3kdhDL), n4ljua2gi1Pr.r99iQzD4Y8i3, k=n4ljua2gi1Pr.xwl05__wedRi, hparams=n4ljua2gi1Pr)
xafqLlk3kkUe(eJKWkHA7qzlZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\x0c\r\xdb\xadN'), '\x64' + '\x65' + chr(99) + '\157' + '\144' + chr(0b1100101))(chr(177 - 60) + '\x74' + chr(0b1100110) + chr(0b101101) + '\070'))(YpO0BcZ6fMsf)
return VHn4CV4Ymrei
else:
assert SH5PH2T7PEUB == xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\x13\x13\xdb'), chr(0b1001101 + 0o27) + chr(101) + chr(0b11 + 0o140) + chr(0b1010010 + 0o35) + chr(0b101111 + 0o65) + chr(0b1100101))(chr(117) + chr(116) + '\x66' + chr(0b101000 + 0o5) + chr(0b111000))
return OeWW0F1dBPRQ
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/lm_experiments.py
|
lmx_base
|
def lmx_base():
"""Transformer on languagemodel_lm1b32k_packed. 50M Params."""
hparams = transformer.transformer_tpu()
# sharing is counterproductive when underparameterized
hparams.shared_embedding_and_softmax_weights = False
# we judge by log-ppl, so label smoothing hurts.
hparams.label_smoothing = 0.0
# This makes the batch size on GPU the same as on TPU for a packed problem
# with sequence length 256.
# TODO(noam): fix the mess that is the data reading pipeline.
hparams.max_length = 256
# larger batch since we only have a decoder
hparams.batch_size = 4096
# save some memory so we can have a larger model
hparams.activation_dtype = "bfloat16"
return hparams
|
python
|
def lmx_base():
"""Transformer on languagemodel_lm1b32k_packed. 50M Params."""
hparams = transformer.transformer_tpu()
# sharing is counterproductive when underparameterized
hparams.shared_embedding_and_softmax_weights = False
# we judge by log-ppl, so label smoothing hurts.
hparams.label_smoothing = 0.0
# This makes the batch size on GPU the same as on TPU for a packed problem
# with sequence length 256.
# TODO(noam): fix the mess that is the data reading pipeline.
hparams.max_length = 256
# larger batch since we only have a decoder
hparams.batch_size = 4096
# save some memory so we can have a larger model
hparams.activation_dtype = "bfloat16"
return hparams
|
[
"def",
"lmx_base",
"(",
")",
":",
"hparams",
"=",
"transformer",
".",
"transformer_tpu",
"(",
")",
"# sharing is counterproductive when underparameterized",
"hparams",
".",
"shared_embedding_and_softmax_weights",
"=",
"False",
"# we judge by log-ppl, so label smoothing hurts.",
"hparams",
".",
"label_smoothing",
"=",
"0.0",
"# This makes the batch size on GPU the same as on TPU for a packed problem",
"# with sequence length 256.",
"# TODO(noam): fix the mess that is the data reading pipeline.",
"hparams",
".",
"max_length",
"=",
"256",
"# larger batch since we only have a decoder",
"hparams",
".",
"batch_size",
"=",
"4096",
"# save some memory so we can have a larger model",
"hparams",
".",
"activation_dtype",
"=",
"\"bfloat16\"",
"return",
"hparams"
] |
Transformer on languagemodel_lm1b32k_packed. 50M Params.
|
[
"Transformer",
"on",
"languagemodel_lm1b32k_packed",
".",
"50M",
"Params",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/lm_experiments.py#L45-L60
|
train
|
Transformer on languagemodel_lm1b32k_packed. 50M Params.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(9691 - 9580) + chr(0b110011) + chr(0b110100) + chr(1696 - 1645), 56650 - 56642), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b110010) + chr(0b10011 + 0o42) + '\067', 23983 - 23975), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1000 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4324 - 4213) + chr(0b1111 + 0o42) + chr(2192 - 2140) + chr(2126 - 2072), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + chr(0b101110 + 0o4) + '\064' + chr(52), 19232 - 19224), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(0b110010) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110 + 0o54) + chr(1207 - 1159) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(368 - 320) + chr(0b1101111) + chr(1686 - 1636) + '\x33', 56737 - 56729), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b10 + 0o61) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + '\062' + '\x37' + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110000 + 0o77) + chr(49) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + chr(0b101011 + 0o11), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10101 + 0o36) + chr(2432 - 2378) + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110 + 0o53) + '\x32' + '\063', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(462 - 411) + chr(0b100110 + 0o20) + chr(0b11111 + 0o21), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(51) + chr(174 - 124), 64592 - 64584), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(0b101111 + 0o4) + chr(0b1001 + 0o54) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b10001 + 0o42) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b1011 + 0o46) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(2177 - 2066) + chr(0b101111 + 0o2) + chr(0b100011 + 0o21) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1065 - 1015) + chr(0b11100 + 0o24) + chr(51), 8), ehT0Px3KOsy9(chr(48) + chr(0b1010010 + 0o35) + chr(1701 - 1650) + '\x36' + '\061', 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1010 + 0o145) + chr(478 - 429) + chr(0b110011) + chr(0b11010 + 0o31), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000010 + 0o55) + chr(52), 42054 - 42046), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b10011 + 0o42), 0o10), ehT0Px3KOsy9(chr(877 - 829) + '\x6f' + chr(0b100100 + 0o17) + chr(55) + chr(1667 - 1617), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\066' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110101) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1160 - 1111) + '\x33' + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(1839 - 1790) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1847 - 1798) + chr(0b11000 + 0o34) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(50) + chr(0b110 + 0o57) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + '\x31' + chr(52) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\063' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b10010 + 0o41) + chr(119 - 71), 47050 - 47042), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(1755 - 1702) + chr(50), 44709 - 44701), ehT0Px3KOsy9(chr(111 - 63) + chr(4833 - 4722) + chr(0b11001 + 0o32) + chr(0b110010) + chr(1921 - 1873), 29612 - 29604), ehT0Px3KOsy9(chr(48) + chr(7251 - 7140) + chr(0b11100 + 0o27) + '\061' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(1485 - 1433) + '\x36', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b110 + 0o53) + chr(141 - 92), 63975 - 63967)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(1608 - 1555) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd'), '\x64' + '\145' + chr(599 - 500) + '\157' + chr(4742 - 4642) + '\x65')(chr(4528 - 4411) + '\x74' + chr(0b1100000 + 0o6) + chr(0b10110 + 0o27) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def lgkJOIX70B_Z():
n4ljua2gi1Pr = Nk9m9eKr4iuF.transformer_tpu()
n4ljua2gi1Pr.qVamxim0L2I1 = ehT0Px3KOsy9(chr(141 - 93) + chr(111) + '\060', 0o10)
n4ljua2gi1Pr.FSjUgdaczzRk = 0.0
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9('\060' + chr(1702 - 1591) + '\x34' + '\x30' + chr(0b110000), 0o10)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\x30' + chr(0b100001 + 0o116) + '\x31' + chr(48) + '\060' + chr(0b1100 + 0o44) + chr(0b10111 + 0o31), 60124 - 60116)
n4ljua2gi1Pr.n6ZCgJ7AKd3U = xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\xc9k\t\xc5`\xb2%'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(5554 - 5437) + '\x74' + '\146' + chr(45) + chr(2123 - 2067))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/lm_experiments.py
|
lmx_h3k_f12k
|
def lmx_h3k_f12k():
"""HParams for training languagemodel_lm1b32k_packed. 880M Params."""
hparams = lmx_base()
hparams.hidden_size = 3072
hparams.filter_size = 12288
hparams.batch_size = 2048
hparams.weight_dtype = "bfloat16"
return hparams
|
python
|
def lmx_h3k_f12k():
"""HParams for training languagemodel_lm1b32k_packed. 880M Params."""
hparams = lmx_base()
hparams.hidden_size = 3072
hparams.filter_size = 12288
hparams.batch_size = 2048
hparams.weight_dtype = "bfloat16"
return hparams
|
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")",
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"hidden_size",
"=",
"3072",
"hparams",
".",
"filter_size",
"=",
"12288",
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"batch_size",
"=",
"2048",
"hparams",
".",
"weight_dtype",
"=",
"\"bfloat16\"",
"return",
"hparams"
] |
HParams for training languagemodel_lm1b32k_packed. 880M Params.
|
[
"HParams",
"for",
"training",
"languagemodel_lm1b32k_packed",
".",
"880M",
"Params",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/lm_experiments.py#L82-L89
|
train
|
HParams for training languagemodel_lm1b32k_packed. 880M Params.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1001111 + 0o40) + chr(0b110001) + '\061' + chr(54), 33894 - 33886), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\x33' + chr(1093 - 1043), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b101000 + 0o107) + chr(2329 - 2279) + chr(1945 - 1891) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1011100 + 0o23) + '\x33' + chr(0b101000 + 0o15) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(3709 - 3598) + chr(1086 - 1037) + chr(53) + chr(1335 - 1287), 0b1000), ehT0Px3KOsy9(chr(266 - 218) + chr(768 - 657) + chr(0b11110 + 0o30), 0o10), ehT0Px3KOsy9(chr(1780 - 1732) + chr(10411 - 10300) + '\062' + '\066' + chr(0b110110 + 0o0), 9198 - 9190), ehT0Px3KOsy9(chr(863 - 815) + '\157' + chr(0b101100 + 0o5) + '\060' + '\066', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110001) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(55) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + '\x31' + chr(55) + chr(0b110000), 49801 - 49793), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100100 + 0o16) + '\063' + chr(52), 26842 - 26834), ehT0Px3KOsy9(chr(48) + chr(0b1011001 + 0o26) + chr(50) + chr(0b10010 + 0o41) + chr(53), 0o10), ehT0Px3KOsy9(chr(192 - 144) + '\157' + chr(0b110001) + '\064' + '\x35', 0b1000), ehT0Px3KOsy9(chr(1927 - 1879) + '\x6f' + '\x37' + chr(1076 - 1028), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\065' + chr(0b11100 + 0o25), 30208 - 30200), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(8270 - 8159) + chr(732 - 683) + chr(1811 - 1761) + chr(2112 - 2063), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\063' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1481 - 1433) + chr(492 - 381) + chr(50) + chr(51) + chr(195 - 147), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b110010) + chr(0b110 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(2349 - 2298) + chr(0b10011 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\061' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(51) + chr(1370 - 1316), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1566 - 1516) + chr(0b10011 + 0o35) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9573 - 9462) + '\x31' + chr(0b11111 + 0o25) + chr(816 - 763), 8), ehT0Px3KOsy9(chr(1673 - 1625) + chr(111) + '\x33' + chr(0b100111 + 0o14) + '\x31', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10001 + 0o41) + '\061', 31808 - 31800), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\066' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101110 + 0o1) + '\x33' + chr(55) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + chr(1698 - 1649) + '\061' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + chr(999 - 950) + '\x31' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7070 - 6959) + chr(49) + chr(53) + '\x37', 31890 - 31882), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(608 - 557) + chr(0b10001 + 0o43), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10110 + 0o34) + '\062' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\060' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + chr(0b110011) + '\x30' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(424 - 375) + '\x35' + chr(1063 - 1015), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + '\065' + chr(0b100000 + 0o20), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'`'), chr(0b1100100) + chr(101) + '\x63' + chr(2834 - 2723) + chr(0b1100100) + chr(101))('\x75' + '\164' + chr(0b1100110) + chr(0b101011 + 0o2) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FjCOJ4V8l6T_():
n4ljua2gi1Pr = lgkJOIX70B_Z()
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110110) + chr(0b110000) + '\060' + chr(48), ord("\x08"))
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9('\060' + '\157' + chr(1057 - 1006) + chr(0b110000) + '\x30' + chr(1213 - 1165) + '\060', ord("\x08"))
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110100) + chr(1017 - 969) + chr(0b110000) + '\x30', ord("\x08"))
n4ljua2gi1Pr.VAEclRm_w3lD = xafqLlk3kkUe(SXOLrMavuUCe(b',\xbc\xdd\x80\tr\x87p'), '\144' + chr(101) + '\x63' + chr(0b1101111) + '\x64' + chr(0b1000111 + 0o36))(chr(0b10100 + 0o141) + '\x74' + chr(102) + chr(0b1111 + 0o36) + '\x38')
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/lm_experiments.py
|
lmx_h4k_f16k
|
def lmx_h4k_f16k():
"""HParams for training languagemodel_lm1b32k_packed. 1470M Params."""
hparams = lmx_base()
hparams.hidden_size = 4096
hparams.filter_size = 16384
hparams.batch_size = 1024
hparams.weight_dtype = "bfloat16"
return hparams
|
python
|
def lmx_h4k_f16k():
"""HParams for training languagemodel_lm1b32k_packed. 1470M Params."""
hparams = lmx_base()
hparams.hidden_size = 4096
hparams.filter_size = 16384
hparams.batch_size = 1024
hparams.weight_dtype = "bfloat16"
return hparams
|
[
"def",
"lmx_h4k_f16k",
"(",
")",
":",
"hparams",
"=",
"lmx_base",
"(",
")",
"hparams",
".",
"hidden_size",
"=",
"4096",
"hparams",
".",
"filter_size",
"=",
"16384",
"hparams",
".",
"batch_size",
"=",
"1024",
"hparams",
".",
"weight_dtype",
"=",
"\"bfloat16\"",
"return",
"hparams"
] |
HParams for training languagemodel_lm1b32k_packed. 1470M Params.
|
[
"HParams",
"for",
"training",
"languagemodel_lm1b32k_packed",
".",
"1470M",
"Params",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/lm_experiments.py#L93-L100
|
train
|
HParams for training languagemodel_lm1b32k_packed. 1470M Params.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1646 - 1598) + chr(111) + '\062' + chr(0b110011) + chr(0b10111 + 0o33), 61118 - 61110), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1011 + 0o47) + '\066' + chr(1045 - 994), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(53) + chr(0b10 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + '\x31' + chr(49) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(0b110101) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(49) + chr(55) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1332 - 1284) + '\157' + '\x32' + chr(604 - 549) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3368 - 3257) + chr(0b110001) + chr(0b110100) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(938 - 887) + chr(0b110111), 40688 - 40680), ehT0Px3KOsy9(chr(1571 - 1523) + chr(12199 - 12088) + chr(50) + '\x34' + chr(0b11011 + 0o27), 0o10), ehT0Px3KOsy9('\x30' + chr(3770 - 3659) + '\063' + chr(2184 - 2136) + chr(2500 - 2449), 0o10), ehT0Px3KOsy9(chr(48) + chr(8127 - 8016) + chr(1003 - 952) + '\066' + chr(52), 4508 - 4500), ehT0Px3KOsy9('\060' + chr(2403 - 2292) + '\066' + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4490 - 4379) + chr(50) + chr(1011 - 956), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + chr(51) + chr(1791 - 1743) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(1299 - 1251) + '\061', 60582 - 60574), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(50) + chr(0b101101 + 0o12) + '\061', 18395 - 18387), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b11111 + 0o23) + chr(2367 - 2314), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(1810 - 1755) + chr(0b100010 + 0o24), 0o10), ehT0Px3KOsy9(chr(314 - 266) + chr(0b10 + 0o155) + chr(0b1 + 0o62) + chr(50) + chr(286 - 233), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1011 + 0o46) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101111 + 0o3) + '\063' + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(52) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(8674 - 8563) + '\x31' + '\x32' + chr(912 - 864), 34529 - 34521), ehT0Px3KOsy9('\x30' + chr(10934 - 10823) + chr(0b110000 + 0o4) + chr(0b1100 + 0o46), 0o10), ehT0Px3KOsy9(chr(1827 - 1779) + chr(9884 - 9773) + chr(1313 - 1262) + '\061' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(11785 - 11674) + chr(0b110001) + '\x32' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + '\063' + '\063' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(0b110000) + chr(53), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110000) + chr(2940 - 2885), 985 - 977), ehT0Px3KOsy9('\x30' + chr(3807 - 3696) + '\x37' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(50) + '\x36' + chr(51), 8), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(49) + chr(1089 - 1040) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101110 + 0o101) + chr(0b10100 + 0o35) + chr(2178 - 2124) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110 + 0o54) + chr(0b100001 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b110011 + 0o74) + chr(54) + '\x37', 7975 - 7967), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(0b1011 + 0o47) + '\x33' + chr(48), 20652 - 20644), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + '\x35' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(1415 - 1362) + chr(2111 - 2060), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101 + 0o142) + '\065' + chr(0b110000), 57753 - 57745)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4'), '\x64' + '\x65' + '\143' + chr(0b110101 + 0o72) + chr(0b1011010 + 0o12) + chr(101))(chr(0b111111 + 0o66) + chr(0b1110100) + chr(102) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GQuIY7yegTLK():
n4ljua2gi1Pr = lgkJOIX70B_Z()
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100111 + 0o12) + chr(1357 - 1309) + chr(48) + '\060' + chr(559 - 511), 0o10)
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11110 + 0o26) + chr(2069 - 2021) + '\x30' + chr(0b11010 + 0o26) + chr(48), ord("\x08"))
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(994 - 946) + chr(1450 - 1339) + '\062' + chr(0b10110 + 0o32) + chr(48) + '\x30', 1839 - 1831)
n4ljua2gi1Pr.VAEclRm_w3lD = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xd5\x06%L\x0f\x89S'), '\144' + chr(101) + chr(99) + chr(111) + chr(0b1001000 + 0o34) + chr(0b1100101))(chr(0b101111 + 0o106) + '\164' + chr(830 - 728) + chr(0b101101) + chr(2878 - 2822))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/lm_experiments.py
|
lmx_relative
|
def lmx_relative():
"""Language model using relative attention."""
hparams = lmx_base()
hparams.self_attention_type = "dot_product_relative_v2"
hparams.activation_dtype = "float32"
hparams.weight_dtype = "float32"
return hparams
|
python
|
def lmx_relative():
"""Language model using relative attention."""
hparams = lmx_base()
hparams.self_attention_type = "dot_product_relative_v2"
hparams.activation_dtype = "float32"
hparams.weight_dtype = "float32"
return hparams
|
[
"def",
"lmx_relative",
"(",
")",
":",
"hparams",
"=",
"lmx_base",
"(",
")",
"hparams",
".",
"self_attention_type",
"=",
"\"dot_product_relative_v2\"",
"hparams",
".",
"activation_dtype",
"=",
"\"float32\"",
"hparams",
".",
"weight_dtype",
"=",
"\"float32\"",
"return",
"hparams"
] |
Language model using relative attention.
|
[
"Language",
"model",
"using",
"relative",
"attention",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/lm_experiments.py#L104-L110
|
train
|
Language model using relative attention.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(726 - 674) + chr(0b100000 + 0o21), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(0b110010) + '\x33' + chr(1137 - 1087), 52719 - 52711), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\065' + '\x34', 23584 - 23576), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2348 - 2296) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b11101 + 0o26) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b110100 + 0o73) + chr(0b1110 + 0o45) + chr(861 - 812) + '\x33', 0o10), ehT0Px3KOsy9(chr(317 - 269) + chr(3339 - 3228) + '\061', 23767 - 23759), ehT0Px3KOsy9(chr(645 - 597) + chr(111) + chr(50) + chr(0b101001 + 0o12) + '\061', 0b1000), ehT0Px3KOsy9(chr(1832 - 1784) + chr(0b1101111) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110110) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110 + 0o53) + chr(2230 - 2180), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9128 - 9017) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(48) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(961 - 908) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1331 - 1282) + chr(0b110100) + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(52) + '\x33', 17306 - 17298), ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + '\x33' + chr(0b110001) + chr(48), 50827 - 50819), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b110000) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\062' + chr(0b1010 + 0o50), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b10111 + 0o31) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\066' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\063' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1730 - 1682) + chr(0b1101001 + 0o6) + chr(50) + chr(0b110101) + '\x34', 2657 - 2649), ehT0Px3KOsy9(chr(1311 - 1263) + chr(111) + chr(0b101100 + 0o7) + chr(54) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b100100 + 0o16) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\064' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7652 - 7541) + chr(550 - 500) + chr(54) + '\063', 52243 - 52235), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b1100 + 0o47) + '\x36', 45804 - 45796), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(1542 - 1431) + '\061' + chr(0b110000) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11010 + 0o30) + '\x31' + chr(161 - 113), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + '\x32' + '\x35' + chr(0b0 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9921 - 9810) + '\x31' + '\063' + chr(1850 - 1795), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110101) + chr(0b110110 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(1715 - 1667) + chr(111) + chr(54) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(10169 - 10058) + chr(49) + chr(0b110100) + chr(0b100000 + 0o24), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(0b110011) + '\x32' + chr(0b110001), 8), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\062' + chr(49), 8), ehT0Px3KOsy9(chr(399 - 351) + '\x6f' + chr(642 - 591) + chr(0b101111 + 0o6) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(9263 - 9152) + chr(0b100101 + 0o17) + '\x32', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2286 - 2238) + chr(9700 - 9589) + chr(53) + chr(334 - 286), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'O'), chr(100) + '\145' + chr(0b1100011) + '\157' + chr(0b101010 + 0o72) + '\145')(chr(0b1001011 + 0o52) + chr(0b1010000 + 0o44) + chr(102) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def vS7Mb3wf8a1V():
n4ljua2gi1Pr = lgkJOIX70B_Z()
n4ljua2gi1Pr.tbgb2B3hnGPW = xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xf5\x18{\xad\xb9n\xfdw\xd4~\\\xb2\x8e\x0c\x02\xbc\xef\xe4$\xed\xeb\x9e'), chr(0b10001 + 0o123) + chr(7822 - 7721) + '\x63' + '\x6f' + '\x64' + '\x65')(chr(117) + chr(10441 - 10325) + '\x66' + chr(45) + '\070')
n4ljua2gi1Pr.n6ZCgJ7AKd3U = xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xf6\x03E\xa9\xf83'), '\x64' + chr(1313 - 1212) + chr(0b1100011) + '\x6f' + '\144' + '\145')(chr(0b1110101) + chr(116) + '\146' + chr(0b101101) + chr(56))
n4ljua2gi1Pr.VAEclRm_w3lD = xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xf6\x03E\xa9\xf83'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b101010 + 0o72) + chr(0b1100101))('\165' + '\x74' + chr(0b1100110) + '\x2d' + chr(566 - 510))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/lm_experiments.py
|
lmx_moe_h1k_f4k_x32
|
def lmx_moe_h1k_f4k_x32():
"""Transformer with mixture of experts. 890M Params."""
hparams = lmx_h1k_f4k()
hparams.ffn_layer = "local_moe_tpu"
hparams.moe_num_experts = 32
hparams.weight_dtype = "bfloat16"
hparams.batch_size = 8192
return hparams
|
python
|
def lmx_moe_h1k_f4k_x32():
"""Transformer with mixture of experts. 890M Params."""
hparams = lmx_h1k_f4k()
hparams.ffn_layer = "local_moe_tpu"
hparams.moe_num_experts = 32
hparams.weight_dtype = "bfloat16"
hparams.batch_size = 8192
return hparams
|
[
"def",
"lmx_moe_h1k_f4k_x32",
"(",
")",
":",
"hparams",
"=",
"lmx_h1k_f4k",
"(",
")",
"hparams",
".",
"ffn_layer",
"=",
"\"local_moe_tpu\"",
"hparams",
".",
"moe_num_experts",
"=",
"32",
"hparams",
".",
"weight_dtype",
"=",
"\"bfloat16\"",
"hparams",
".",
"batch_size",
"=",
"8192",
"return",
"hparams"
] |
Transformer with mixture of experts. 890M Params.
|
[
"Transformer",
"with",
"mixture",
"of",
"experts",
".",
"890M",
"Params",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/lm_experiments.py#L130-L137
|
train
|
Transformer with mixture of experts. 890M Params.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b10000 + 0o43) + '\066', 1728 - 1720), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(502 - 453) + chr(50) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(455 - 407) + chr(11686 - 11575) + '\x31' + '\x31' + chr(2305 - 2256), 0o10), ehT0Px3KOsy9(chr(1537 - 1489) + '\x6f' + '\062' + chr(2258 - 2206) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(378 - 329) + chr(0b110110) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(2836 - 2725) + '\x31' + chr(527 - 474), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b10111 + 0o36) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110101), 8), ehT0Px3KOsy9(chr(302 - 254) + '\157' + '\x31' + '\062' + '\065', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b100100 + 0o15) + chr(55) + '\x33', 30408 - 30400), ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + chr(2070 - 2021) + chr(0b100010 + 0o17) + chr(53), 0b1000), ehT0Px3KOsy9(chr(1745 - 1697) + '\157' + chr(0b110010) + chr(0b110100) + chr(0b100010 + 0o17), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\x30' + chr(496 - 442), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x34' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1141 - 1093) + chr(111) + chr(0b110010) + '\x30' + chr(2724 - 2671), 37947 - 37939), ehT0Px3KOsy9('\x30' + '\157' + chr(344 - 291) + '\065', 0b1000), ehT0Px3KOsy9(chr(1525 - 1477) + '\x6f' + '\061' + chr(49) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(11071 - 10960) + chr(0b110011) + chr(0b11010 + 0o30) + chr(2008 - 1954), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(1753 - 1704) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(308 - 259) + '\067' + chr(0b100101 + 0o22), 0b1000), ehT0Px3KOsy9(chr(1069 - 1021) + '\x6f' + chr(0b101011 + 0o7) + chr(0b110100) + chr(0b10110 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\061' + '\065' + chr(2455 - 2405), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110111) + chr(0b10 + 0o62), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b10000 + 0o44) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(2215 - 2163) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(7804 - 7693) + chr(0b110001 + 0o1) + chr(0b110101) + chr(55), 51464 - 51456), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\x35' + chr(49), 0o10), ehT0Px3KOsy9(chr(347 - 299) + chr(111) + chr(51) + '\060' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b110111) + chr(1033 - 982), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2283 - 2232) + chr(2092 - 2040) + chr(1036 - 985), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101011 + 0o4) + chr(0b110001) + chr(0b11001 + 0o35) + chr(0b101 + 0o56), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b11 + 0o57) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(52) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000111 + 0o50) + '\x33' + '\x34' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1185 - 1134) + chr(0b11010 + 0o35) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(904 - 793) + chr(55) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b110100) + '\x34', 8), ehT0Px3KOsy9(chr(1617 - 1569) + '\157' + chr(50) + '\062' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + '\x33' + '\x34' + chr(0b110000), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + '\x30', 7036 - 7028)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(6204 - 6093) + chr(100) + chr(101))(chr(117) + '\164' + chr(3114 - 3012) + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NfcolzCkOij0():
n4ljua2gi1Pr = IIZ0kGzdp6bf()
n4ljua2gi1Pr.SH5PH2T7PEUB = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2>*\xc0\x1eR\x86b0$9\xd13'), chr(0b1 + 0o143) + '\x65' + '\143' + '\157' + chr(0b1000011 + 0o41) + chr(7767 - 7666))(chr(6072 - 5955) + chr(0b1000100 + 0o60) + chr(0b111110 + 0o50) + chr(0b101101) + chr(0b111000))
n4ljua2gi1Pr.r99iQzD4Y8i3 = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10011 + 0o41) + chr(0b110000), 15786 - 15778)
n4ljua2gi1Pr.VAEclRm_w3lD = xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc7%\xce\x13y\xda;'), chr(0b101111 + 0o65) + '\x65' + chr(6336 - 6237) + '\157' + '\x64' + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b11110 + 0o32))
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + chr(0b110010) + chr(0b11011 + 0o25) + chr(1691 - 1643) + chr(700 - 652) + '\060', 0o10)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/lm_experiments.py
|
lmx_moe_h1k_f8k_x16
|
def lmx_moe_h1k_f8k_x16():
"""Transformer with mixture of experts. 890M Params."""
hparams = lmx_h1k_f4k()
hparams.filter_size = 8192
hparams.ffn_layer = "local_moe_tpu"
hparams.moe_num_experts = 16
hparams.weight_dtype = "bfloat16"
hparams.batch_size = 8192
return hparams
|
python
|
def lmx_moe_h1k_f8k_x16():
"""Transformer with mixture of experts. 890M Params."""
hparams = lmx_h1k_f4k()
hparams.filter_size = 8192
hparams.ffn_layer = "local_moe_tpu"
hparams.moe_num_experts = 16
hparams.weight_dtype = "bfloat16"
hparams.batch_size = 8192
return hparams
|
[
"def",
"lmx_moe_h1k_f8k_x16",
"(",
")",
":",
"hparams",
"=",
"lmx_h1k_f4k",
"(",
")",
"hparams",
".",
"filter_size",
"=",
"8192",
"hparams",
".",
"ffn_layer",
"=",
"\"local_moe_tpu\"",
"hparams",
".",
"moe_num_experts",
"=",
"16",
"hparams",
".",
"weight_dtype",
"=",
"\"bfloat16\"",
"hparams",
".",
"batch_size",
"=",
"8192",
"return",
"hparams"
] |
Transformer with mixture of experts. 890M Params.
|
[
"Transformer",
"with",
"mixture",
"of",
"experts",
".",
"890M",
"Params",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/lm_experiments.py#L141-L149
|
train
|
Transformer with mixture of experts. 890M Params.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(89 - 40) + '\060' + chr(50), 56580 - 56572), ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + '\064' + chr(961 - 910), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(51) + chr(2658 - 2604), 0b1000), ehT0Px3KOsy9(chr(214 - 166) + chr(0b1000100 + 0o53) + chr(0b110011) + chr(54), 51350 - 51342), ehT0Px3KOsy9(chr(1019 - 971) + chr(6998 - 6887) + chr(1368 - 1319) + chr(54) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11110 + 0o121) + chr(93 - 44) + chr(400 - 350) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\067' + chr(1800 - 1748), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(52) + chr(2368 - 2313), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(1858 - 1747) + chr(0b11101 + 0o26) + chr(0b110100) + chr(2164 - 2109), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(116 - 68) + '\157' + '\x31' + '\066' + chr(106 - 54), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(2500 - 2448) + chr(0b1010 + 0o54), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(303 - 192) + chr(49) + chr(0b11111 + 0o22) + '\x31', 4377 - 4369), ehT0Px3KOsy9(chr(1704 - 1656) + '\x6f' + '\063' + '\x35' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(578 - 527) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + '\x31' + chr(0b110011) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100000 + 0o117) + '\x31' + chr(2888 - 2834) + '\062', 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(3153 - 3042) + chr(51) + '\x34' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(50) + chr(0b110000) + chr(53), 48649 - 48641), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(0b110011) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1047 - 996) + chr(0b110100) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + '\x33' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b1100 + 0o53) + chr(995 - 941), 26894 - 26886), ehT0Px3KOsy9(chr(48) + chr(5118 - 5007) + '\061' + '\066' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1099 - 1049) + '\x31' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(3020 - 2909) + chr(0b110011) + chr(0b11110 + 0o27) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(1552 - 1504) + '\x33', 18454 - 18446), ehT0Px3KOsy9(chr(397 - 349) + chr(0b1101111) + '\066' + '\063', 63372 - 63364), ehT0Px3KOsy9('\060' + chr(11268 - 11157) + chr(1744 - 1695) + chr(1803 - 1755) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b110011) + '\x35' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\060' + chr(0b1010 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(825 - 777) + chr(0b1101111) + chr(0b110001) + chr(2319 - 2270) + chr(55), 55807 - 55799), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b100 + 0o60) + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1111 + 0o43) + '\x36' + chr(53), 17174 - 17166), ehT0Px3KOsy9('\060' + chr(7738 - 7627) + chr(51) + '\062' + chr(0b10000 + 0o42), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1155 - 1106) + chr(2067 - 2018) + chr(0b11000 + 0o32), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + chr(221 - 172) + '\x36' + chr(50), 8), ehT0Px3KOsy9(chr(48) + chr(12299 - 12188) + '\065' + chr(511 - 458), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(2109 - 2054) + '\x31', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(990 - 937) + chr(365 - 317), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'l'), '\144' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(554 - 454) + chr(101))(chr(0b100110 + 0o117) + chr(0b1010001 + 0o43) + chr(102) + chr(222 - 177) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def V_PEeWNTETmW():
n4ljua2gi1Pr = IIZ0kGzdp6bf()
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9('\060' + chr(6919 - 6808) + chr(50) + '\x30' + chr(0b110000) + chr(0b110000) + chr(1352 - 1304), 0o10)
n4ljua2gi1Pr.SH5PH2T7PEUB = xafqLlk3kkUe(SXOLrMavuUCe(b'.L\xfd\x7f\x1a\tQ\xc8\x82q\x00\xd6<'), '\x64' + chr(0b1100101) + chr(99) + '\x6f' + '\144' + chr(5623 - 5522))(chr(2905 - 2788) + chr(4654 - 4538) + chr(102) + chr(0b10100 + 0o31) + chr(56))
n4ljua2gi1Pr.r99iQzD4Y8i3 = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(1591 - 1543), 0o10)
n4ljua2gi1Pr.VAEclRm_w3lD = xafqLlk3kkUe(SXOLrMavuUCe(b' E\xf2q\x17"\r\x91'), chr(100) + chr(101) + chr(1236 - 1137) + chr(0b1101111) + '\144' + chr(9336 - 9235))(chr(11476 - 11359) + '\164' + '\146' + chr(0b101101) + chr(0b111000))
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\060' + chr(0b110000) + '\060' + chr(0b101011 + 0o5), 8)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/lm_experiments.py
|
lmx_h1k_f64k
|
def lmx_h1k_f64k():
"""HParams for training languagemodel_lm1b32k_packed. 880M Params."""
hparams = lmx_base()
hparams.hidden_size = 1024
hparams.filter_size = 65536
hparams.batch_size = 2048
return hparams
|
python
|
def lmx_h1k_f64k():
"""HParams for training languagemodel_lm1b32k_packed. 880M Params."""
hparams = lmx_base()
hparams.hidden_size = 1024
hparams.filter_size = 65536
hparams.batch_size = 2048
return hparams
|
[
"def",
"lmx_h1k_f64k",
"(",
")",
":",
"hparams",
"=",
"lmx_base",
"(",
")",
"hparams",
".",
"hidden_size",
"=",
"1024",
"hparams",
".",
"filter_size",
"=",
"65536",
"hparams",
".",
"batch_size",
"=",
"2048",
"return",
"hparams"
] |
HParams for training languagemodel_lm1b32k_packed. 880M Params.
|
[
"HParams",
"for",
"training",
"languagemodel_lm1b32k_packed",
".",
"880M",
"Params",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/lm_experiments.py#L153-L159
|
train
|
HParams for training languagemodel_lm1b32k_packed. 880M Params.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\061' + chr(52), 46946 - 46938), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\x37' + chr(0b100100 + 0o17), 8345 - 8337), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b101 + 0o152) + chr(476 - 426) + chr(51) + chr(0b10010 + 0o44), 11203 - 11195), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(3374 - 3263) + '\061' + chr(0b110110) + chr(0b110110), 3389 - 3381), ehT0Px3KOsy9('\060' + chr(2568 - 2457) + chr(49) + chr(360 - 307) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(0b110011) + '\x31' + chr(1028 - 973), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001 + 0o2) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b10101 + 0o35) + chr(1070 - 1016) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(1193 - 1140) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100101 + 0o12) + '\063' + '\x35' + '\066', 701 - 693), ehT0Px3KOsy9(chr(760 - 712) + chr(111) + '\063' + chr(580 - 526), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(4445 - 4334) + chr(0b110101) + chr(52), 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\061' + '\064' + '\061', 60782 - 60774), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1111 + 0o43) + '\062' + chr(49), 49728 - 49720), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b110101) + chr(993 - 945), 0b1000), ehT0Px3KOsy9(chr(1796 - 1748) + chr(0b110 + 0o151) + chr(0b111 + 0o60) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(1659 - 1605), 8), ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + chr(0b110001) + '\067' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\063' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b11010 + 0o33) + '\063', 0b1000), ehT0Px3KOsy9(chr(1123 - 1075) + chr(0b1101111) + chr(50) + '\062' + '\066', 56508 - 56500), ehT0Px3KOsy9(chr(1348 - 1300) + chr(5216 - 5105) + chr(0b110011) + chr(526 - 471) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(55) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1736 - 1688) + '\157' + chr(50) + chr(0b110101) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(50) + chr(821 - 773) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101001 + 0o6) + '\x33' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(1316 - 1266) + chr(1898 - 1848) + chr(54), 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1000 + 0o147) + chr(962 - 907) + '\063', 47269 - 47261), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\060' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + '\062' + '\061' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(2058 - 2010) + chr(111) + '\x31' + '\064' + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x35', 22861 - 22853), ehT0Px3KOsy9(chr(2100 - 2052) + chr(0b1101111) + '\063' + chr(0b101000 + 0o13) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9991 - 9880) + chr(0b1000 + 0o52) + chr(0b1111 + 0o43) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + '\062' + chr(51) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10110 + 0o35) + chr(194 - 145) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b0 + 0o60) + '\062', 27152 - 27144), ehT0Px3KOsy9('\060' + chr(12274 - 12163) + '\063' + chr(0b110011) + '\x34', 19225 - 19217)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1010110 + 0o31) + chr(2538 - 2485) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2'), chr(100) + chr(101) + '\143' + chr(1687 - 1576) + chr(0b1100100) + '\x65')('\165' + chr(12829 - 12713) + chr(102) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def BHelUugkeJxR():
n4ljua2gi1Pr = lgkJOIX70B_Z()
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9('\060' + chr(8999 - 8888) + chr(0b11001 + 0o31) + chr(0b1 + 0o57) + chr(2254 - 2206) + chr(0b100110 + 0o12), 0o10)
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000 + 0o2) + chr(2038 - 1990) + '\x30' + chr(560 - 512) + chr(48) + '\060', ord("\x08"))
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(48) + '\157' + chr(52) + chr(444 - 396) + '\x30' + '\x30', ord("\x08"))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/envs/simulated_batch_env.py
|
compute_uncertainty_reward
|
def compute_uncertainty_reward(logits, predictions):
"""Uncertainty reward based on logits."""
# TODO(rsepassi): Add support for L1/L2 loss models. Current code only
# works for softmax models.
vocab_size = logits.shape[-1]
assert vocab_size > 1
log_probs = common_layers.log_prob_from_logits(logits)
max_log_probs = common_layers.index_last_dim_with_indices(log_probs,
predictions)
# Threshold
neg_log_prob = tf.nn.relu(-max_log_probs - 0.02)
# Sum across all but the batch dimension
reduce_dims = list(range(len(neg_log_prob.shape)))[1:]
summed = tf.reduce_sum(neg_log_prob, axis=reduce_dims)
return summed / 10
|
python
|
def compute_uncertainty_reward(logits, predictions):
"""Uncertainty reward based on logits."""
# TODO(rsepassi): Add support for L1/L2 loss models. Current code only
# works for softmax models.
vocab_size = logits.shape[-1]
assert vocab_size > 1
log_probs = common_layers.log_prob_from_logits(logits)
max_log_probs = common_layers.index_last_dim_with_indices(log_probs,
predictions)
# Threshold
neg_log_prob = tf.nn.relu(-max_log_probs - 0.02)
# Sum across all but the batch dimension
reduce_dims = list(range(len(neg_log_prob.shape)))[1:]
summed = tf.reduce_sum(neg_log_prob, axis=reduce_dims)
return summed / 10
|
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] |
Uncertainty reward based on logits.
|
[
"Uncertainty",
"reward",
"based",
"on",
"logits",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/envs/simulated_batch_env.py#L85-L99
|
train
|
Uncertainty reward based on logits.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101100 + 0o6) + '\065' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + chr(0b110001) + chr(2616 - 2564) + chr(1448 - 1393), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10111 + 0o32) + chr(50) + chr(0b101011 + 0o12), 24857 - 24849), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(2014 - 1962) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x36' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(207 - 96) + chr(0b10 + 0o61) + '\x31' + chr(49), 33821 - 33813), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b110011) + chr(0b10011 + 0o40), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + '\062' + '\063' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(6889 - 6778) + chr(0b110 + 0o53) + '\x33' + chr(0b1110 + 0o47), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(805 - 755) + chr(0b110010) + chr(0b110001), 14570 - 14562), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(922 - 871) + chr(0b10011 + 0o42) + '\x30', 22408 - 22400), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(2095 - 2046) + chr(49) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1101 + 0o46) + chr(1417 - 1369) + '\060', 0b1000), ehT0Px3KOsy9(chr(1788 - 1740) + '\x6f' + chr(0b110000 + 0o7) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(726 - 672) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(0b110111) + chr(0b110010), 27060 - 27052), ehT0Px3KOsy9('\060' + '\x6f' + chr(2466 - 2415) + '\x34' + chr(0b110011), 56908 - 56900), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(49) + chr(51), 23172 - 23164), ehT0Px3KOsy9('\x30' + chr(4190 - 4079) + chr(1838 - 1789) + '\x33' + chr(0b10111 + 0o33), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b11101 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\x35' + chr(1719 - 1671), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b1001 + 0o55), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(0b110010) + '\x37' + chr(0b110011), 20883 - 20875), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\065' + chr(0b1011 + 0o54), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11001 + 0o32) + '\x32' + chr(0b100110 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(1678 - 1630) + '\x6f' + chr(51) + '\061' + '\062', 17738 - 17730), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1000010 + 0o55) + chr(0b100011 + 0o20) + '\x32' + chr(52), 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1001111 + 0o40) + chr(49) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + chr(1911 - 1862) + chr(0b110001) + '\064', 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(0b110001) + '\x36' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + '\061' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1101 + 0o46) + chr(0b11001 + 0o34) + chr(254 - 202), 31850 - 31842), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(54) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1996 - 1948) + '\x6f' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110001) + '\065', 36848 - 36840), ehT0Px3KOsy9(chr(470 - 422) + chr(8733 - 8622) + chr(0b100101 + 0o20) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b100100 + 0o113) + chr(2566 - 2514) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x31' + '\x31', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + chr(0b10000 + 0o40), 64908 - 64900)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x84'), chr(0b1100100) + '\x65' + '\143' + chr(0b1101111) + '\x64' + '\x65')(chr(13373 - 13256) + '\164' + chr(4591 - 4489) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xMo3qgDXd6g8(wF9nmvjsKjYM, qIQi_VFCIFZL):
CeyMIoSyrpkQ = wF9nmvjsKjYM.nauYfLglTpcb[-ehT0Px3KOsy9(chr(2263 - 2215) + chr(111) + chr(49), 0b1000)]
assert CeyMIoSyrpkQ > ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', 8)
yPp0Syg5g6oO = jSKPaHwSAfVv.log_prob_from_logits(wF9nmvjsKjYM)
fFHsHC6PDSvd = jSKPaHwSAfVv.index_last_dim_with_indices(yPp0Syg5g6oO, qIQi_VFCIFZL)
do0yZwzle3FR = IDJ2eXGCBCDu.nn.relu(-fFHsHC6PDSvd - 0.02)
t26vd1R23Hpa = YyaZ4tpXu4lf(vQr8gNKaIaWE(c2A0yzQpDQB3(do0yZwzle3FR.nauYfLglTpcb)))[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061', 8):]
NVBJ_HBxMrnA = IDJ2eXGCBCDu.reduce_sum(do0yZwzle3FR, axis=t26vd1R23Hpa)
return NVBJ_HBxMrnA / ehT0Px3KOsy9('\x30' + chr(0b1011010 + 0o25) + '\061' + chr(0b101100 + 0o6), 16159 - 16151)
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/envs/simulated_batch_env.py
|
SimulatedBatchEnv._reset_non_empty
|
def _reset_non_empty(self, indices):
"""Reset the batch of environments.
Args:
indices: The batch indices of the environments to reset; defaults to all.
Returns:
Batch tensor of the new observations.
"""
reset_video_op = tf.cond(
self._video_condition,
lambda: tf.py_func(self._video_reset_writer, [], []),
tf.no_op)
with tf.control_dependencies([reset_video_op]):
inc_op = tf.assign_add(self._episode_counter, 1)
with tf.control_dependencies([self.history_buffer.reset(indices),
inc_op]):
initial_frame_dump_op = tf.cond(
self._video_condition,
lambda: tf.py_func(self._video_dump_frames, # pylint: disable=g-long-lambda
[self.history_buffer.get_all_elements()], []),
tf.no_op)
observ_assign_op = self._observ.assign(
self.history_buffer.get_all_elements()[:, -1, ...])
with tf.control_dependencies([observ_assign_op, initial_frame_dump_op]):
reset_model_op = tf.assign(self._reset_model, tf.constant(1.0))
with tf.control_dependencies([reset_model_op]):
return tf.gather(self._observ.read_value(), indices)
|
python
|
def _reset_non_empty(self, indices):
"""Reset the batch of environments.
Args:
indices: The batch indices of the environments to reset; defaults to all.
Returns:
Batch tensor of the new observations.
"""
reset_video_op = tf.cond(
self._video_condition,
lambda: tf.py_func(self._video_reset_writer, [], []),
tf.no_op)
with tf.control_dependencies([reset_video_op]):
inc_op = tf.assign_add(self._episode_counter, 1)
with tf.control_dependencies([self.history_buffer.reset(indices),
inc_op]):
initial_frame_dump_op = tf.cond(
self._video_condition,
lambda: tf.py_func(self._video_dump_frames, # pylint: disable=g-long-lambda
[self.history_buffer.get_all_elements()], []),
tf.no_op)
observ_assign_op = self._observ.assign(
self.history_buffer.get_all_elements()[:, -1, ...])
with tf.control_dependencies([observ_assign_op, initial_frame_dump_op]):
reset_model_op = tf.assign(self._reset_model, tf.constant(1.0))
with tf.control_dependencies([reset_model_op]):
return tf.gather(self._observ.read_value(), indices)
|
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] |
Reset the batch of environments.
Args:
indices: The batch indices of the environments to reset; defaults to all.
Returns:
Batch tensor of the new observations.
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/envs/simulated_batch_env.py#L232-L259
|
train
|
Resets the batch of environments.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(5850 - 5739) + chr(1796 - 1745) + chr(49), 22456 - 22448), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\x37' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(12154 - 12043) + '\x31' + chr(1997 - 1946) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(4256 - 4145) + chr(51) + '\x32' + chr(0b10100 + 0o35), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x36' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b110100) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(5467 - 5356) + chr(0b110011) + chr(0b110001) + '\x37', 19896 - 19888), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110100) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\067' + chr(0b111 + 0o51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(49) + '\061' + '\065', 52217 - 52209), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + chr(50) + '\x33' + chr(0b11110 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + '\x31' + chr(48) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(450 - 402) + chr(0b111111 + 0o60) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(1666 - 1555) + chr(1592 - 1539) + chr(0b110111), 47824 - 47816), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + chr(2126 - 2076) + chr(50) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1592 - 1544) + chr(0b11010 + 0o125) + chr(668 - 618) + chr(53) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b11110 + 0o30) + chr(1056 - 1001), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\066' + '\061', 26865 - 26857), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + chr(0b110111) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5759 - 5648) + chr(794 - 743) + chr(49) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b110101) + '\063', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(49) + chr(2026 - 1975), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + '\062' + chr(2474 - 2423) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + chr(458 - 408) + chr(0b110101) + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(49) + chr(898 - 847), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11010 + 0o30) + '\065' + '\x32', 60160 - 60152), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + chr(51) + chr(718 - 666) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(49) + '\063' + '\x35', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10010 + 0o41) + chr(55) + chr(54), 61509 - 61501), ehT0Px3KOsy9(chr(888 - 840) + '\x6f' + '\061' + chr(0b110100) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b110011) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(350 - 239) + chr(0b110011) + '\x37' + chr(0b110101), 11556 - 11548), ehT0Px3KOsy9(chr(980 - 932) + '\157' + chr(0b110010) + chr(0b100 + 0o56) + '\065', 0o10), ehT0Px3KOsy9(chr(735 - 687) + chr(111) + '\x35' + '\x30', 18961 - 18953), ehT0Px3KOsy9('\060' + chr(4094 - 3983) + chr(1179 - 1130) + chr(0b1001 + 0o52) + '\060', 3245 - 3237), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(55) + chr(0b1010 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b111101 + 0o62) + chr(50) + chr(50) + chr(0b110011), 2291 - 2283), ehT0Px3KOsy9(chr(48) + chr(4112 - 4001) + '\x33' + chr(0b100000 + 0o20) + chr(0b101001 + 0o7), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101110 + 0o5) + chr(53) + chr(0b11110 + 0o23), 4784 - 4776), ehT0Px3KOsy9(chr(827 - 779) + chr(0b1000000 + 0o57) + chr(0b11000 + 0o32) + chr(0b10101 + 0o36) + chr(48), 26549 - 26541)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1010011 + 0o34) + chr(1290 - 1237) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'7'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\157' + '\144' + chr(101))(chr(10611 - 10494) + chr(0b111101 + 0o67) + chr(102) + '\055' + chr(2926 - 2870)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def HxI98j6L8IWY(oVre8I6UXc3b, pIcoaXENl5Pw):
Iog8VL3HGx8g = IDJ2eXGCBCDu.cond(oVre8I6UXc3b._video_condition, lambda : IDJ2eXGCBCDu.py_func(oVre8I6UXc3b._video_reset_writer, [], []), IDJ2eXGCBCDu.no_op)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'z\x933\xa5E\xce\xa3\xbe\xdc(\xef$hK\xf2\xc2\x14\xd8Z\xbd'), '\x64' + chr(0b1100101) + chr(99) + '\x6f' + '\144' + chr(2735 - 2634))('\x75' + '\164' + '\146' + chr(0b101101) + '\x38'))([Iog8VL3HGx8g]):
aT21nBjoIVke = IDJ2eXGCBCDu.assign_add(oVre8I6UXc3b._episode_counter, ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2396 - 2347), 0b1000))
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'z\x933\xa5E\xce\xa3\xbe\xdc(\xef$hK\xf2\xc2\x14\xd8Z\xbd'), '\x64' + chr(101) + '\143' + '\157' + '\144' + '\x65')(chr(0b1110101) + '\x74' + chr(8783 - 8681) + '\055' + '\070'))([xafqLlk3kkUe(oVre8I6UXc3b.history_buffer, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x99.\xb4C'), '\144' + '\145' + chr(0b1100011) + chr(111) + chr(327 - 227) + chr(101))(chr(0b1110101) + '\164' + chr(3242 - 3140) + '\x2d' + chr(0b110011 + 0o5)))(pIcoaXENl5Pw), aT21nBjoIVke]):
OixLxKzyo6L_ = IDJ2eXGCBCDu.cond(oVre8I6UXc3b._video_condition, lambda : IDJ2eXGCBCDu.py_func(oVre8I6UXc3b._video_dump_frames, [oVre8I6UXc3b.history_buffer.get_all_elements()], []), IDJ2eXGCBCDu.no_op)
HyJUMZQmssYs = oVre8I6UXc3b._observ.assign(oVre8I6UXc3b.history_buffer.get_all_elements()[:, -ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 8), ...])
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'z\x933\xa5E\xce\xa3\xbe\xdc(\xef$hK\xf2\xc2\x14\xd8Z\xbd'), '\x64' + chr(0b100101 + 0o100) + chr(99) + chr(11609 - 11498) + chr(0b1011 + 0o131) + chr(0b1100 + 0o131))('\165' + '\164' + chr(102) + '\x2d' + chr(0b111000)))([HyJUMZQmssYs, OixLxKzyo6L_]):
k77Ck0IgldjL = IDJ2eXGCBCDu.assign(oVre8I6UXc3b._reset_model, IDJ2eXGCBCDu.constant(1.0))
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'z\x933\xa5E\xce\xa3\xbe\xdc(\xef$hK\xf2\xc2\x14\xd8Z\xbd'), chr(5881 - 5781) + chr(2075 - 1974) + chr(0b1100011) + chr(7843 - 7732) + chr(0b1010100 + 0o20) + chr(1576 - 1475))(chr(354 - 237) + chr(0b11010 + 0o132) + chr(102) + '\x2d' + chr(2964 - 2908)))([k77Ck0IgldjL]):
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'~\x9d)\xb9R\xd3'), chr(9999 - 9899) + chr(0b110 + 0o137) + chr(1809 - 1710) + chr(0b1100100 + 0o13) + '\144' + chr(2249 - 2148))(chr(117) + '\x74' + '\x66' + chr(0b101101) + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b._observ, xafqLlk3kkUe(SXOLrMavuUCe(b'k\x99<\xb5h\xd7\xae\x8d\xcd('), chr(100) + '\145' + '\143' + chr(0b1101111) + chr(0b1011011 + 0o11) + chr(101))(chr(0b1110101) + chr(116) + '\x66' + chr(0b101101) + chr(56)))(), pIcoaXENl5Pw)
|
tensorflow/tensor2tensor
|
tensor2tensor/bin/t2t_datagen.py
|
set_random_seed
|
def set_random_seed():
"""Set the random seed from flag everywhere."""
tf.set_random_seed(FLAGS.random_seed)
random.seed(FLAGS.random_seed)
np.random.seed(FLAGS.random_seed)
|
python
|
def set_random_seed():
"""Set the random seed from flag everywhere."""
tf.set_random_seed(FLAGS.random_seed)
random.seed(FLAGS.random_seed)
np.random.seed(FLAGS.random_seed)
|
[
"def",
"set_random_seed",
"(",
")",
":",
"tf",
".",
"set_random_seed",
"(",
"FLAGS",
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"random_seed",
")",
"random",
".",
"seed",
"(",
"FLAGS",
".",
"random_seed",
")",
"np",
".",
"random",
".",
"seed",
"(",
"FLAGS",
".",
"random_seed",
")"
] |
Set the random seed from flag everywhere.
|
[
"Set",
"the",
"random",
"seed",
"from",
"flag",
"everywhere",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/bin/t2t_datagen.py#L154-L158
|
train
|
Set the random seed from flag everywhere.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(1830 - 1777) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x37' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100) + '\060', 0b1000), ehT0Px3KOsy9(chr(912 - 864) + chr(0b1001011 + 0o44) + '\x33' + chr(0b110000) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(473 - 362) + chr(51) + chr(48) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3214 - 3103) + chr(1708 - 1659) + chr(0b110111) + '\x33', 25619 - 25611), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1111 + 0o140) + '\x31' + '\x30' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1866 - 1818) + '\x6f' + '\x33' + chr(0b110111) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101100 + 0o3) + chr(0b111 + 0o55) + '\061', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b11111 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + chr(0b11101 + 0o25) + chr(0b110100) + chr(51), 0o10), ehT0Px3KOsy9(chr(1381 - 1333) + '\157' + chr(50 - 0) + chr(53) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10226 - 10115) + '\063' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000 + 0o3) + chr(55) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(2283 - 2234) + chr(52) + '\x31', 8674 - 8666), ehT0Px3KOsy9('\x30' + chr(11068 - 10957) + chr(49) + chr(54) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(49) + chr(0b110111) + chr(0b110111), 55314 - 55306), ehT0Px3KOsy9(chr(48) + chr(12187 - 12076) + chr(0b110011) + chr(1352 - 1297) + chr(52), 8), ehT0Px3KOsy9(chr(306 - 258) + chr(5692 - 5581) + '\061' + chr(1851 - 1802) + chr(0b110000), 53955 - 53947), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1874 - 1825) + '\x35' + chr(1267 - 1217), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(1248 - 1199) + chr(0b110000 + 0o4), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\066' + chr(0b10011 + 0o36), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\064', 32512 - 32504), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1110 + 0o141) + '\x33' + chr(0b110101) + chr(1951 - 1902), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(6180 - 6069) + chr(0b100 + 0o56) + '\x35' + chr(0b100000 + 0o22), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11010 + 0o33) + chr(1802 - 1748), ord("\x08")), ehT0Px3KOsy9(chr(285 - 237) + chr(111) + chr(1006 - 956) + chr(2990 - 2935) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x37', 0o10), ehT0Px3KOsy9(chr(1642 - 1594) + chr(0b101111 + 0o100) + '\x32' + chr(0b110001) + '\066', 0b1000), ehT0Px3KOsy9(chr(1857 - 1809) + chr(111) + chr(0b10011 + 0o41) + chr(0b11101 + 0o26), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(55) + chr(0b110111), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1029 - 978) + chr(52) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(55) + chr(0b101100 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(1058 - 1010) + chr(1588 - 1477) + chr(1829 - 1780) + chr(0b110100) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\061' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1218 - 1170) + chr(111) + chr(51) + chr(0b110001) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(0b110001) + chr(53) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101 + 0o57) + '\x31', 8), ehT0Px3KOsy9(chr(1898 - 1850) + chr(4272 - 4161) + chr(1415 - 1366) + '\x34' + chr(51), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(54) + chr(54), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(0b110101) + chr(48), 27291 - 27283)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2'), chr(100) + '\145' + '\143' + chr(111) + chr(0b1100100) + chr(0b1100101))('\165' + chr(12748 - 12632) + chr(0b1100 + 0o132) + chr(49 - 4) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bMi6COh25CXU():
xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f[T\x9d\xb7\x1a+\x9eN~\xfc\xddz\x99\x05'), '\144' + chr(7216 - 7115) + '\x63' + chr(0b1101111) + chr(100) + chr(0b111100 + 0o51))('\x75' + chr(12778 - 12662) + chr(102) + '\055' + chr(947 - 891)))(xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e_N\xa6\xaa\x16\x1a\x89Dv\xc7'), '\x64' + '\145' + chr(0b1100011) + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + '\164' + chr(4514 - 4412) + chr(1572 - 1527) + '\x38')))
xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f[E\xa6'), '\x64' + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + chr(9954 - 9853))(chr(0b1110101) + chr(0b1100100 + 0o20) + chr(0b1001011 + 0o33) + '\x2d' + chr(0b10101 + 0o43)))(xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e_N\xa6\xaa\x16\x1a\x89Dv\xc7'), chr(100) + '\145' + chr(99) + '\157' + '\144' + chr(0b101 + 0o140))(chr(0b1110001 + 0o4) + chr(2714 - 2598) + chr(8705 - 8603) + chr(45) + chr(56))))
xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f[E\xa6'), '\144' + chr(5628 - 5527) + '\x63' + chr(0b10100 + 0o133) + chr(7001 - 6901) + chr(0b1100101))('\165' + chr(0b101000 + 0o114) + chr(0b1100110) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e_N\xa6\xaa\x16\x1a\x89Dv\xc7'), '\x64' + chr(101) + '\x63' + chr(0b100011 + 0o114) + chr(0b1011000 + 0o14) + chr(101))(chr(12470 - 12353) + chr(0b1110100) + chr(102) + chr(1828 - 1783) + chr(0b111000))))
|
tensorflow/tensor2tensor
|
tensor2tensor/bin/t2t_datagen.py
|
generate_data_for_problem
|
def generate_data_for_problem(problem):
"""Generate data for a problem in _SUPPORTED_PROBLEM_GENERATORS."""
training_gen, dev_gen, test_gen = _SUPPORTED_PROBLEM_GENERATORS[problem]
num_train_shards = FLAGS.num_shards or 10
tf.logging.info("Generating training data for %s.", problem)
train_output_files = generator_utils.train_data_filenames(
problem + generator_utils.UNSHUFFLED_SUFFIX, FLAGS.data_dir,
num_train_shards)
generator_utils.generate_files(training_gen(), train_output_files,
FLAGS.max_cases)
num_dev_shards = int(num_train_shards * 0.1)
tf.logging.info("Generating development data for %s.", problem)
dev_output_files = generator_utils.dev_data_filenames(
problem + generator_utils.UNSHUFFLED_SUFFIX, FLAGS.data_dir,
num_dev_shards)
generator_utils.generate_files(dev_gen(), dev_output_files)
num_test_shards = int(num_train_shards * 0.1)
test_output_files = []
test_gen_data = test_gen()
if test_gen_data is not None:
tf.logging.info("Generating test data for %s.", problem)
test_output_files = generator_utils.test_data_filenames(
problem + generator_utils.UNSHUFFLED_SUFFIX, FLAGS.data_dir,
num_test_shards)
generator_utils.generate_files(test_gen_data, test_output_files)
all_output_files = train_output_files + dev_output_files + test_output_files
generator_utils.shuffle_dataset(all_output_files)
|
python
|
def generate_data_for_problem(problem):
"""Generate data for a problem in _SUPPORTED_PROBLEM_GENERATORS."""
training_gen, dev_gen, test_gen = _SUPPORTED_PROBLEM_GENERATORS[problem]
num_train_shards = FLAGS.num_shards or 10
tf.logging.info("Generating training data for %s.", problem)
train_output_files = generator_utils.train_data_filenames(
problem + generator_utils.UNSHUFFLED_SUFFIX, FLAGS.data_dir,
num_train_shards)
generator_utils.generate_files(training_gen(), train_output_files,
FLAGS.max_cases)
num_dev_shards = int(num_train_shards * 0.1)
tf.logging.info("Generating development data for %s.", problem)
dev_output_files = generator_utils.dev_data_filenames(
problem + generator_utils.UNSHUFFLED_SUFFIX, FLAGS.data_dir,
num_dev_shards)
generator_utils.generate_files(dev_gen(), dev_output_files)
num_test_shards = int(num_train_shards * 0.1)
test_output_files = []
test_gen_data = test_gen()
if test_gen_data is not None:
tf.logging.info("Generating test data for %s.", problem)
test_output_files = generator_utils.test_data_filenames(
problem + generator_utils.UNSHUFFLED_SUFFIX, FLAGS.data_dir,
num_test_shards)
generator_utils.generate_files(test_gen_data, test_output_files)
all_output_files = train_output_files + dev_output_files + test_output_files
generator_utils.shuffle_dataset(all_output_files)
|
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] |
Generate data for a problem in _SUPPORTED_PROBLEM_GENERATORS.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/bin/t2t_datagen.py#L224-L251
|
train
|
Generates data for a problem in _SUPPORTED_PROBLEM_GENERATORS.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(4398 - 4287) + chr(0b101101 + 0o5) + '\x32' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\063' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1701 - 1653) + '\x6f' + chr(0b110010) + chr(0b110100) + chr(53), 0b1000), ehT0Px3KOsy9(chr(2250 - 2202) + '\x6f' + chr(101 - 51) + '\x30' + chr(110 - 59), 0o10), ehT0Px3KOsy9(chr(48) + chr(850 - 739) + chr(0b110001) + chr(0b11001 + 0o35) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\061' + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(11022 - 10911) + chr(2335 - 2286) + chr(0b110111) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(4222 - 4111) + chr(584 - 534) + chr(0b110 + 0o55) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(55), 13572 - 13564), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110001) + chr(1061 - 1010), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b101101 + 0o11) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100111 + 0o13) + chr(0b110010) + chr(0b10010 + 0o44), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\x31' + chr(666 - 616), 8), ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + chr(0b110010) + '\062' + chr(54), 8), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(2328 - 2279) + chr(0b110100) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1037 - 989) + chr(10068 - 9957) + '\062' + chr(1679 - 1631) + chr(48), 0b1000), ehT0Px3KOsy9(chr(987 - 939) + chr(0b1000100 + 0o53) + '\062' + chr(1339 - 1289) + chr(830 - 781), 0o10), ehT0Px3KOsy9(chr(858 - 810) + '\157' + '\062' + chr(0b110000) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(595 - 547) + chr(10966 - 10855) + '\066', 0b1000), ehT0Px3KOsy9(chr(498 - 450) + chr(0b1101111) + chr(51) + '\066' + '\x34', 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(50) + chr(0b110111) + chr(2233 - 2180), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2274 - 2224) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11 + 0o61), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000111 + 0o50) + '\x33' + chr(0b11001 + 0o34) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + '\x32' + chr(0b110011), 30677 - 30669), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + '\061' + chr(1848 - 1799) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(50) + '\x33' + chr(0b100000 + 0o27), 13645 - 13637), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(1369 - 1258) + chr(50) + chr(0b110111) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + '\x31' + chr(2176 - 2126) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110110) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1110 + 0o141) + chr(0b110101) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\066' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(607 - 559) + chr(0b1101111) + '\x33' + chr(0b110000 + 0o5) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(284 - 233) + '\062' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\061', 46549 - 46541), ehT0Px3KOsy9('\x30' + chr(8414 - 8303) + '\062' + chr(0b110111) + '\067', 8), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(1781 - 1732) + '\060' + chr(52), 29097 - 29089), ehT0Px3KOsy9(chr(0b110000) + chr(4029 - 3918) + chr(0b110010 + 0o1) + chr(379 - 329) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b100010 + 0o115) + '\x33' + '\x35' + chr(0b110010), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b101100 + 0o103) + '\065' + chr(0b1 + 0o57), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8'), '\x64' + '\145' + chr(0b111 + 0o134) + chr(11278 - 11167) + '\x64' + chr(0b1010 + 0o133))('\165' + chr(0b1010101 + 0o37) + '\146' + chr(0b1001 + 0o44) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def o4Dk_RkCxqBT(sO7e1A_Mor6Q):
(w2QU8Ia1zXms, C5JwfnACklRE, Al25FpJFlm96) = FeEZHFzEnJmW[sO7e1A_Mor6Q]
aSqX1mx68Gwx = vUTZFbqN0o8F.num_shards or ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b101 + 0o55), 0b1000)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xa9\xed\xfb\x07\xa9\x1a\xad}\xe7\xae\xfd'), '\x64' + '\145' + chr(2897 - 2798) + chr(12113 - 12002) + chr(0b1001 + 0o133) + chr(5647 - 5546))(chr(0b1 + 0o164) + chr(0b1011100 + 0o30) + chr(0b100110 + 0o100) + chr(0b10001 + 0o34) + chr(1919 - 1863)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\xfb\xcb\xe6\x00\xab\t\xf3y\xec\xd4\xe2\xb8\xf7\x0f\xee\xf8\xefa\xd4\xd9spo\xcau%\xed\x9fp@\x06'), chr(0b1100100) + chr(0b1100000 + 0o5) + '\143' + chr(10640 - 10529) + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(5576 - 5474) + '\055' + chr(0b10 + 0o66)), sO7e1A_Mor6Q)
tklmG_A4kZty = g1Z_RG9zP4cD.train_data_filenames(sO7e1A_Mor6Q + g1Z_RG9zP4cD.UNSHUFFLED_SUFFIX, vUTZFbqN0o8F.kVFRD544hi_1, aSqX1mx68Gwx)
xafqLlk3kkUe(g1Z_RG9zP4cD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\xfb\xcb\xe6\x00\xab\t\xffH\xed\x9d\xfa\xaf\xe5'), chr(9402 - 9302) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(7822 - 7722) + chr(0b1100101))(chr(0b1010001 + 0o44) + chr(4777 - 4661) + chr(102) + chr(1468 - 1423) + chr(56)))(w2QU8Ia1zXms(), tklmG_A4kZty, xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\xff\xdd\xdc\x11\xab\x0e\xffd'), chr(0b110011 + 0o61) + '\145' + chr(9505 - 9406) + chr(0b1001 + 0o146) + chr(0b1100100) + chr(4957 - 4856))(chr(7580 - 7463) + chr(116) + chr(0b10100 + 0o122) + chr(45) + chr(56))))
g5kiZv6yu6NJ = ehT0Px3KOsy9(aSqX1mx68Gwx * 0.1)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xa9\xed\xfb\x07\xa9\x1a\xad}\xe7\xae\xfd'), chr(100) + chr(0b1100101) + chr(0b110101 + 0o56) + '\157' + chr(100) + '\145')(chr(5926 - 5809) + '\x74' + chr(0b100110 + 0o100) + chr(0b10000 + 0o35) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\xfb\xcb\xe6\x00\xab\t\xf3y\xec\xd4\xf2\xaf\xe0\x03\xec\xfe\xf1k\x91\xd3f$j\x8bg+\xbf\xd9:A\x08\x12\x9a\xff'), chr(100) + '\x65' + '\143' + chr(5736 - 5625) + '\144' + '\145')(chr(117) + chr(10027 - 9911) + '\x66' + chr(45) + chr(0b111000)), sO7e1A_Mor6Q)
UVH_oIYXg2Gp = g1Z_RG9zP4cD.dev_data_filenames(sO7e1A_Mor6Q + g1Z_RG9zP4cD.UNSHUFFLED_SUFFIX, vUTZFbqN0o8F.kVFRD544hi_1, g5kiZv6yu6NJ)
xafqLlk3kkUe(g1Z_RG9zP4cD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\xfb\xcb\xe6\x00\xab\t\xffH\xed\x9d\xfa\xaf\xe5'), chr(3806 - 3706) + '\x65' + chr(99) + chr(111) + chr(9687 - 9587) + chr(101))('\165' + chr(2299 - 2183) + chr(0b1100110) + '\055' + chr(0b100010 + 0o26)))(C5JwfnACklRE(), UVH_oIYXg2Gp)
ei1jp5gPB7O0 = ehT0Px3KOsy9(aSqX1mx68Gwx * 0.1)
ipuyOrnflez6 = []
JKy1opUHBDiB = Al25FpJFlm96()
if JKy1opUHBDiB is not None:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xa9\xed\xfb\x07\xa9\x1a\xad}\xe7\xae\xfd'), chr(100) + '\x65' + chr(6288 - 6189) + chr(111) + chr(4433 - 4333) + chr(0b1100101))(chr(117) + chr(116) + '\146' + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\xfb\xcb\xe6\x00\xab\t\xf3y\xec\xd4\xe2\xaf\xe5\x12\xa0\xf5\xe0r\x95\x9dtk|\xca69\xb1'), chr(0b101101 + 0o67) + '\145' + '\143' + '\x6f' + '\x64' + chr(101))(chr(0b1110101) + chr(11038 - 10922) + chr(3234 - 3132) + '\055' + chr(0b100000 + 0o30)), sO7e1A_Mor6Q)
ipuyOrnflez6 = g1Z_RG9zP4cD.test_data_filenames(sO7e1A_Mor6Q + g1Z_RG9zP4cD.UNSHUFFLED_SUFFIX, vUTZFbqN0o8F.kVFRD544hi_1, ei1jp5gPB7O0)
xafqLlk3kkUe(g1Z_RG9zP4cD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\xfb\xcb\xe6\x00\xab\t\xffH\xed\x9d\xfa\xaf\xe5'), '\x64' + chr(0b111011 + 0o52) + chr(99) + '\157' + chr(100) + '\145')(chr(117) + chr(7488 - 7372) + chr(7985 - 7883) + '\055' + chr(0b10 + 0o66)))(JKy1opUHBDiB, ipuyOrnflez6)
B1HoHzw74nZD = tklmG_A4kZty + UVH_oIYXg2Gp + ipuyOrnflez6
xafqLlk3kkUe(g1Z_RG9zP4cD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xf6\xd0\xe5\x14\xa6\x18\xc5s\xea\x80\xf7\xb9\xf3\x12'), chr(100) + '\145' + chr(99) + chr(0b100100 + 0o113) + chr(0b1001011 + 0o31) + '\145')(chr(0b1000000 + 0o65) + '\164' + '\146' + chr(183 - 138) + chr(56)))(B1HoHzw74nZD)
|
tensorflow/tensor2tensor
|
tensor2tensor/bin/t2t_datagen.py
|
generate_data_for_env_problem
|
def generate_data_for_env_problem(problem_name):
"""Generate data for `EnvProblem`s."""
assert FLAGS.env_problem_max_env_steps > 0, ("--env_problem_max_env_steps "
"should be greater than zero")
assert FLAGS.env_problem_batch_size > 0, ("--env_problem_batch_size should be"
" greather than zero")
problem = registry.env_problem(problem_name)
task_id = None if FLAGS.task_id < 0 else FLAGS.task_id
data_dir = os.path.expanduser(FLAGS.data_dir)
tmp_dir = os.path.expanduser(FLAGS.tmp_dir)
# TODO(msaffar): Handle large values for env_problem_batch_size where we
# cannot create that many environments within the same process.
problem.initialize(batch_size=FLAGS.env_problem_batch_size)
env_problem_utils.play_env_problem_randomly(
problem, num_steps=FLAGS.env_problem_max_env_steps)
problem.generate_data(data_dir=data_dir, tmp_dir=tmp_dir, task_id=task_id)
|
python
|
def generate_data_for_env_problem(problem_name):
"""Generate data for `EnvProblem`s."""
assert FLAGS.env_problem_max_env_steps > 0, ("--env_problem_max_env_steps "
"should be greater than zero")
assert FLAGS.env_problem_batch_size > 0, ("--env_problem_batch_size should be"
" greather than zero")
problem = registry.env_problem(problem_name)
task_id = None if FLAGS.task_id < 0 else FLAGS.task_id
data_dir = os.path.expanduser(FLAGS.data_dir)
tmp_dir = os.path.expanduser(FLAGS.tmp_dir)
# TODO(msaffar): Handle large values for env_problem_batch_size where we
# cannot create that many environments within the same process.
problem.initialize(batch_size=FLAGS.env_problem_batch_size)
env_problem_utils.play_env_problem_randomly(
problem, num_steps=FLAGS.env_problem_max_env_steps)
problem.generate_data(data_dir=data_dir, tmp_dir=tmp_dir, task_id=task_id)
|
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")",
"problem",
".",
"generate_data",
"(",
"data_dir",
"=",
"data_dir",
",",
"tmp_dir",
"=",
"tmp_dir",
",",
"task_id",
"=",
"task_id",
")"
] |
Generate data for `EnvProblem`s.
|
[
"Generate",
"data",
"for",
"EnvProblem",
"s",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/bin/t2t_datagen.py#L260-L275
|
train
|
Generate data for a specific EnvProblem.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(52) + chr(0b101101 + 0o12), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(131 - 81) + chr(0b110011) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + '\x33' + '\062' + chr(0b11000 + 0o34), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110011) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(55) + '\x37', 45716 - 45708), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + chr(0b110001) + '\060' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1967 - 1856) + chr(824 - 773) + chr(0b11110 + 0o23) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\x35' + chr(0b11000 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b10111 + 0o40) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1177 - 1127) + chr(52) + chr(0b10111 + 0o31), 0o10), ehT0Px3KOsy9(chr(805 - 757) + chr(111) + chr(0b110101) + '\x34', 64299 - 64291), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\067' + '\x35', 0o10), ehT0Px3KOsy9(chr(375 - 327) + chr(0b1101111) + chr(49) + chr(0b101010 + 0o10) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(8754 - 8643) + '\061' + '\066' + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + '\067' + chr(2188 - 2137), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(1587 - 1476) + '\061' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x35' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(6587 - 6476) + chr(123 - 73) + chr(0b110001) + chr(1929 - 1877), ord("\x08")), ehT0Px3KOsy9(chr(1188 - 1140) + '\157' + chr(0b110001) + chr(55) + chr(400 - 348), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10484 - 10373) + chr(0b110010) + '\065' + '\066', 0o10), ehT0Px3KOsy9(chr(1495 - 1447) + chr(0b10010 + 0o135) + chr(50) + chr(0b10000 + 0o47) + '\x35', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(2353 - 2299) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32', 57571 - 57563), ehT0Px3KOsy9(chr(0b110000) + chr(0b101010 + 0o105) + '\x33' + chr(0b110001) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + '\x33' + chr(0b110110) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + '\062' + chr(2834 - 2779) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(0b101110 + 0o3) + '\x30' + chr(0b110101), 8969 - 8961), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(51) + chr(0b110000) + chr(0b110011), 58289 - 58281), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b11000 + 0o30) + chr(0b110111), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110 + 0o55) + chr(48) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110100 + 0o73) + '\x33' + '\x30' + '\x32', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b1 + 0o62) + chr(55) + chr(0b110010 + 0o4), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(2325 - 2273), 55212 - 55204), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2136 - 2085) + chr(1794 - 1740) + '\063', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\x34' + chr(2192 - 2144), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b110001) + '\065', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(1661 - 1612) + '\066' + chr(0b11101 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(51) + chr(0b10010 + 0o41) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(50) + '\067', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11010 + 0o33) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\t'), '\144' + chr(2645 - 2544) + chr(0b1100011) + '\x6f' + '\144' + chr(0b1100101))(chr(117) + chr(116) + chr(0b101101 + 0o71) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bqcTkR0LdGtG(wezGpYDorAsK):
assert xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'B\xf6\xa2\x04O5\xa7\xc9\x92\xc5A\xe28\x16CP\x08\xe2\n\xf1\xce\xc4g\xbd\x80'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1100001 + 0o24) + chr(0b101100 + 0o110) + chr(0b100100 + 0o102) + chr(0b101101) + '\x38')) > ehT0Px3KOsy9('\060' + '\x6f' + '\x30', 26983 - 26975), xafqLlk3kkUe(SXOLrMavuUCe(b'\n\xb5\xb15I\x18\xb8\xd9\x91\xc2@\xd88(Vn\x15\xd3\x19\xc0\xcb\xefq\xb9\x96\xce6\xe34v\xa9\xb7\x92h\xd3\x82\xa8Q\xbd\xe5B\xf9\xa0>Mg\xbc\xc3\x9f\xce\x0c\xc70\x05T'), '\x64' + chr(101) + chr(99) + '\157' + chr(100) + chr(0b1100101))(chr(0b111101 + 0o70) + '\164' + chr(0b1100110) + '\055' + chr(0b10000 + 0o50))
assert xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'B\xf6\xa2\x04O5\xa7\xc9\x92\xc5A\xe27\x16Ol\x05\xd3\x0f\xc7\xc7\xd5'), chr(0b11000 + 0o114) + chr(101) + '\143' + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\146' + '\055' + chr(809 - 753))) > ehT0Px3KOsy9('\060' + chr(7483 - 7372) + '\060', 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\n\xb5\xb15I\x18\xb8\xd9\x91\xc2@\xd88(Yn\x19\xef\x14\xf1\xce\xd9x\xa8\xd3\xcd-\xac2r\xa2\xe2\x9ci\xd3\x87\xbf\x14\xbb\xe3O\xfd\xa6{K/\xa9\xc5\xde\xdaI\xcf:'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b111110 + 0o46) + chr(0b10000 + 0o125))(chr(2472 - 2355) + '\164' + chr(0b111 + 0o137) + chr(0b101101) + '\x38')
sO7e1A_Mor6Q = U24OBsRcVqkJ.env_problem(wezGpYDorAsK)
h_MwKIdeQ6Ce = None if vUTZFbqN0o8F.task_id < ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1581 - 1533), 8) else vUTZFbqN0o8F.task_id
kVFRD544hi_1 = oqhJDdMJfuwx.path.expanduser(vUTZFbqN0o8F.kVFRD544hi_1)
JsZ36NJUqtml = oqhJDdMJfuwx.path.expanduser(vUTZFbqN0o8F.tmp_dir)
xafqLlk3kkUe(sO7e1A_Mor6Q, xafqLlk3kkUe(SXOLrMavuUCe(b'N\xf6\xbd/V&\xa4\xc2\x84\xc5'), chr(0b101100 + 0o70) + chr(6566 - 6465) + chr(99) + '\x6f' + '\144' + chr(0b1100101))('\165' + chr(3318 - 3202) + '\146' + '\x2d' + chr(56)))(batch_size=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'B\xf6\xa2\x04O5\xa7\xc9\x92\xc5A\xe27\x16Ol\x05\xd3\x0f\xc7\xc7\xd5'), '\x64' + '\x65' + chr(6068 - 5969) + '\157' + '\x64' + '\x65')(chr(117) + chr(7967 - 7851) + chr(6291 - 6189) + chr(0b101101) + '\070')))
xafqLlk3kkUe(B_Aei1S5W_Nk, xafqLlk3kkUe(SXOLrMavuUCe(b'W\xf4\xb5"`"\xa6\xdd\xa1\xd0^\xd27\x1b^b2\xfe\x1d\xc0\xd9\xdfo\xa1\x8a'), chr(0b1100100) + '\145' + chr(99) + chr(0b1101111) + chr(0b101010 + 0o72) + '\145')('\x75' + '\164' + '\x66' + chr(0b101101) + chr(1576 - 1520)))(sO7e1A_Mor6Q, num_steps=xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'B\xf6\xa2\x04O5\xa7\xc9\x92\xc5A\xe28\x16CP\x08\xe2\n\xf1\xce\xc4g\xbd\x80'), chr(8175 - 8075) + chr(0b1000000 + 0o45) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1000001 + 0o64) + chr(116) + '\x66' + chr(0b1 + 0o54) + chr(56))))
xafqLlk3kkUe(sO7e1A_Mor6Q, xafqLlk3kkUe(SXOLrMavuUCe(b'@\xfd\xba>M&\xbc\xce\xa1\xc4M\xc94'), chr(3118 - 3018) + chr(6560 - 6459) + chr(0b1100011) + chr(0b1101111) + chr(0b111000 + 0o54) + chr(2217 - 2116))(chr(0b1010110 + 0o37) + '\x74' + '\x66' + '\x2d' + chr(1895 - 1839)))(data_dir=kVFRD544hi_1, tmp_dir=JsZ36NJUqtml, task_id=h_MwKIdeQ6Ce)
|
tensorflow/tensor2tensor
|
tensor2tensor/bin/t2t_datagen.py
|
generate_data_for_registered_problem
|
def generate_data_for_registered_problem(problem_name):
"""Generate data for a registered problem."""
tf.logging.info("Generating data for %s.", problem_name)
if FLAGS.num_shards:
raise ValueError("--num_shards should not be set for registered Problem.")
problem = registry.problem(problem_name)
task_id = None if FLAGS.task_id < 0 else FLAGS.task_id
data_dir = os.path.expanduser(FLAGS.data_dir)
tmp_dir = os.path.expanduser(FLAGS.tmp_dir)
if task_id is None and problem.multiprocess_generate:
if FLAGS.task_id_start != -1:
assert FLAGS.task_id_end != -1
task_id_start = FLAGS.task_id_start
task_id_end = FLAGS.task_id_end
else:
task_id_start = 0
task_id_end = problem.num_generate_tasks
pool = multiprocessing.Pool(processes=FLAGS.num_concurrent_processes)
problem.prepare_to_generate(data_dir, tmp_dir)
args = [(problem_name, data_dir, tmp_dir, task_id)
for task_id in range(task_id_start, task_id_end)]
pool.map(generate_data_in_process, args)
else:
problem.generate_data(data_dir, tmp_dir, task_id)
|
python
|
def generate_data_for_registered_problem(problem_name):
"""Generate data for a registered problem."""
tf.logging.info("Generating data for %s.", problem_name)
if FLAGS.num_shards:
raise ValueError("--num_shards should not be set for registered Problem.")
problem = registry.problem(problem_name)
task_id = None if FLAGS.task_id < 0 else FLAGS.task_id
data_dir = os.path.expanduser(FLAGS.data_dir)
tmp_dir = os.path.expanduser(FLAGS.tmp_dir)
if task_id is None and problem.multiprocess_generate:
if FLAGS.task_id_start != -1:
assert FLAGS.task_id_end != -1
task_id_start = FLAGS.task_id_start
task_id_end = FLAGS.task_id_end
else:
task_id_start = 0
task_id_end = problem.num_generate_tasks
pool = multiprocessing.Pool(processes=FLAGS.num_concurrent_processes)
problem.prepare_to_generate(data_dir, tmp_dir)
args = [(problem_name, data_dir, tmp_dir, task_id)
for task_id in range(task_id_start, task_id_end)]
pool.map(generate_data_in_process, args)
else:
problem.generate_data(data_dir, tmp_dir, task_id)
|
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"(",
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"generate_data_in_process",
",",
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":",
"problem",
".",
"generate_data",
"(",
"data_dir",
",",
"tmp_dir",
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")"
] |
Generate data for a registered problem.
|
[
"Generate",
"data",
"for",
"a",
"registered",
"problem",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/bin/t2t_datagen.py#L278-L301
|
train
|
Generate data for a registered problem.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\x30' + chr(1623 - 1571), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2155 - 2106) + chr(49) + chr(0b1100 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(1582 - 1471) + '\x32' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001111 + 0o40) + '\063' + '\x35' + chr(48), 22133 - 22125), ehT0Px3KOsy9(chr(1238 - 1190) + chr(0b1101111) + chr(51) + chr(0b10000 + 0o40) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + '\x32' + '\x35' + '\x32', 0b1000), ehT0Px3KOsy9(chr(1900 - 1852) + chr(0b1101111) + '\061' + chr(49) + chr(48), 18167 - 18159), ehT0Px3KOsy9('\060' + '\157' + chr(0b100001 + 0o22) + chr(49) + chr(0b110110), 52238 - 52230), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(54) + chr(0b101000 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(50) + chr(0b100111 + 0o11) + chr(0b101111 + 0o5), 0b1000), ehT0Px3KOsy9('\060' + chr(2183 - 2072) + chr(1624 - 1573) + chr(175 - 120), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(55), 0b1000), ehT0Px3KOsy9(chr(374 - 326) + chr(0b1101 + 0o142) + '\x32' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(6562 - 6451) + chr(0b110010) + '\x34' + chr(0b1100 + 0o44), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(50) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\x30' + '\063', 0o10), ehT0Px3KOsy9(chr(593 - 545) + '\x6f' + chr(49) + chr(0b110010) + chr(2332 - 2277), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1111 + 0o43) + '\066' + chr(0b110010), 36403 - 36395), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1001001 + 0o46) + chr(0b111 + 0o52) + chr(1942 - 1890), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(1151 - 1097) + chr(590 - 539), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(1781 - 1727) + '\x33', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\064' + chr(457 - 408), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11010 + 0o31) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\x33' + chr(0b1100 + 0o51) + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + '\x32' + chr(1659 - 1608) + chr(0b11011 + 0o30), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(55) + chr(0b101111 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + '\063' + chr(2098 - 2046) + chr(821 - 769), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101000 + 0o107) + '\061' + chr(54) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b10000 + 0o44) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1941 - 1830) + '\x31' + '\x30' + '\064', 8), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + '\062' + chr(2481 - 2427) + chr(395 - 341), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(50) + chr(0b1110 + 0o47), 0o10), ehT0Px3KOsy9(chr(2091 - 2043) + chr(8269 - 8158) + chr(1166 - 1117) + chr(0b110011) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1950 - 1902) + chr(11780 - 11669) + '\061' + chr(0b110111) + chr(182 - 130), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(49) + chr(0b110111) + chr(2177 - 2125), 8), ehT0Px3KOsy9(chr(1795 - 1747) + chr(0b10010 + 0o135) + chr(0b1111 + 0o43) + '\x32' + chr(0b110010 + 0o4), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110110) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b110010) + '\061', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + '\x35' + chr(0b11110 + 0o22), 16768 - 16760)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'j'), '\144' + chr(8470 - 8369) + '\143' + chr(0b1101000 + 0o7) + '\x64' + '\145')(chr(3075 - 2958) + chr(0b1110100) + chr(102) + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FJIxR7xSuHBy(wezGpYDorAsK):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17|[\x90\xb5\xc9/\xf9aG)\xef'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(2198 - 2098) + chr(4336 - 4235))(chr(0b1110101) + chr(10823 - 10707) + '\146' + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x03.}\x8d\xb2\xcb<\xa7eLS\xe0~st\x802\xac%\x92)\xc0]'), '\x64' + chr(101) + '\143' + chr(0b1001111 + 0o40) + chr(3663 - 3563) + chr(0b1000 + 0o135))(chr(0b11110 + 0o127) + '\x74' + chr(0b1100110) + '\055' + '\070'), wezGpYDorAsK)
if xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'*>~\xb7\xb3\xc2)\xbcoX'), chr(0b1100100) + chr(0b1100101) + '\143' + '\157' + chr(0b1100100) + chr(0b10010 + 0o123))('\165' + chr(5500 - 5384) + '\x66' + chr(0b101100 + 0o1) + chr(56))):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'if}\x9d\xad\xf5;\xa6jY\x17\xf7?t}\xcf!\xaf3\x92b\xdc\x07\x01~\x8d\xbb\xcf\x81\x05A"\xd9\xe7~\x0e\x19\xf1\\\xa20.a\x8d\xa4\x8a\x18\xbcdI\x1f\xe1r)'), chr(0b1001111 + 0o25) + chr(4414 - 4313) + '\143' + chr(11643 - 11532) + chr(2967 - 2867) + chr(0b11 + 0o142))(chr(0b1110101) + chr(116) + '\x66' + '\055' + chr(2084 - 2028)))
sO7e1A_Mor6Q = U24OBsRcVqkJ.sO7e1A_Mor6Q(wezGpYDorAsK)
h_MwKIdeQ6Ce = None if vUTZFbqN0o8F.task_id < ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), ord("\x08")) else vUTZFbqN0o8F.task_id
kVFRD544hi_1 = oqhJDdMJfuwx.path.expanduser(vUTZFbqN0o8F.kVFRD544hi_1)
JsZ36NJUqtml = oqhJDdMJfuwx.path.expanduser(vUTZFbqN0o8F.tmp_dir)
if h_MwKIdeQ6Ce is None and xafqLlk3kkUe(sO7e1A_Mor6Q, xafqLlk3kkUe(SXOLrMavuUCe(b')>\x7f\x9c\xa9\xda:\xa1hN\x00\xf7@`p\xce1\xb16\xc6i'), '\x64' + chr(101) + '\143' + '\157' + chr(0b1010110 + 0o16) + chr(101))(chr(117) + chr(4655 - 4539) + '\x66' + chr(0b111 + 0o46) + chr(1650 - 1594))):
if xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'0*`\x83\x9f\xc3,\x91x_\x12\xf6k'), chr(0b1100100) + chr(0b1100101) + chr(1338 - 1239) + '\x6f' + chr(3411 - 3311) + chr(101))(chr(0b1110101) + chr(4313 - 4197) + chr(0b1100110) + chr(1728 - 1683) + chr(1209 - 1153))) != -ehT0Px3KOsy9(chr(0b110000) + chr(3295 - 3184) + chr(49), 0b1000):
assert xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'0*`\x83\x9f\xc3,\x91nE\x17'), chr(0b100 + 0o140) + chr(0b1100101) + chr(0b1001010 + 0o31) + chr(111) + chr(100) + chr(0b100 + 0o141))('\165' + chr(3027 - 2911) + chr(102) + chr(45) + chr(0b111000))) != -ehT0Px3KOsy9(chr(69 - 21) + '\157' + '\061', 8)
I5XMvOT_RhNK = vUTZFbqN0o8F.task_id_start
Q7mMzn2Xwh9I = vUTZFbqN0o8F.task_id_end
else:
I5XMvOT_RhNK = ehT0Px3KOsy9('\x30' + '\157' + '\x30', 8)
Q7mMzn2Xwh9I = sO7e1A_Mor6Q.num_generate_tasks
qsPHwJ5jT7iz = oaf3su9tPebt.Pool(processes=vUTZFbqN0o8F.num_concurrent_processes)
xafqLlk3kkUe(sO7e1A_Mor6Q, xafqLlk3kkUe(SXOLrMavuUCe(b'49v\x98\xa1\xd8-\x91\x7fD,\xe3zip\xd25\xb72'), chr(0b1010101 + 0o17) + '\x65' + '\x63' + chr(111) + chr(0b1100100) + chr(0b10100 + 0o121))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\070'))(kVFRD544hi_1, JsZ36NJUqtml)
kJDRfRhcZHjS = [(wezGpYDorAsK, kVFRD544hi_1, JsZ36NJUqtml, h_MwKIdeQ6Ce) for h_MwKIdeQ6Ce in vQr8gNKaIaWE(I5XMvOT_RhNK, Q7mMzn2Xwh9I)]
xafqLlk3kkUe(qsPHwJ5jT7iz, xafqLlk3kkUe(SXOLrMavuUCe(b')*c'), '\x64' + chr(0b1001000 + 0o35) + chr(8570 - 8471) + chr(0b1000011 + 0o54) + '\x64' + '\145')(chr(117) + chr(116) + '\x66' + '\055' + chr(573 - 517)))(_Qz76M8ZMYi5, kJDRfRhcZHjS)
else:
xafqLlk3kkUe(sO7e1A_Mor6Q, xafqLlk3kkUe(SXOLrMavuUCe(b'#.}\x8d\xb2\xcb<\xabTO\x12\xf0~'), '\x64' + '\x65' + chr(0b1010110 + 0o15) + chr(111) + chr(0b1100100) + chr(0b1100100 + 0o1))(chr(0b1110101) + '\164' + '\146' + chr(45) + '\070'))(kVFRD544hi_1, JsZ36NJUqtml, h_MwKIdeQ6Ce)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/common_voice.py
|
_collect_data
|
def _collect_data(directory):
"""Traverses directory collecting input and target files.
Args:
directory: base path to extracted audio and transcripts.
Returns:
list of (media_base, media_filepath, label) tuples
"""
# Returns:
data_files = []
transcripts = [
filename for filename in os.listdir(directory)
if filename.endswith(".csv")
]
for transcript in transcripts:
transcript_path = os.path.join(directory, transcript)
with open(transcript_path, "r") as transcript_file:
transcript_reader = csv.reader(transcript_file)
# skip header
_ = next(transcript_reader)
for transcript_line in transcript_reader:
media_name, label = transcript_line[0:2]
filename = os.path.join(directory, media_name)
data_files.append((media_name, filename, label))
return data_files
|
python
|
def _collect_data(directory):
"""Traverses directory collecting input and target files.
Args:
directory: base path to extracted audio and transcripts.
Returns:
list of (media_base, media_filepath, label) tuples
"""
# Returns:
data_files = []
transcripts = [
filename for filename in os.listdir(directory)
if filename.endswith(".csv")
]
for transcript in transcripts:
transcript_path = os.path.join(directory, transcript)
with open(transcript_path, "r") as transcript_file:
transcript_reader = csv.reader(transcript_file)
# skip header
_ = next(transcript_reader)
for transcript_line in transcript_reader:
media_name, label = transcript_line[0:2]
filename = os.path.join(directory, media_name)
data_files.append((media_name, filename, label))
return data_files
|
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Traverses directory collecting input and target files.
Args:
directory: base path to extracted audio and transcripts.
Returns:
list of (media_base, media_filepath, label) tuples
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/common_voice.py#L42-L66
|
train
|
Traverses 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(chr(1556 - 1508) + chr(0b1101111) + '\063' + chr(55) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(1703 - 1592) + '\062' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6172 - 6061) + chr(0b110010) + chr(0b110000 + 0o0) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(99 - 51) + chr(0b10101 + 0o40), 24166 - 24158), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(2584 - 2531) + chr(0b101110 + 0o10), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(0b10000 + 0o43) + chr(0b10101 + 0o41), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\067' + chr(0b110110 + 0o1), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2424 - 2374) + '\067' + chr(454 - 401), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2622 - 2569) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110001 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(1787 - 1739) + '\x6f' + chr(51) + chr(0b111 + 0o57), 8), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\x30' + chr(53), 39220 - 39212), ehT0Px3KOsy9('\060' + '\157' + chr(0b110100 + 0o2), 18229 - 18221), ehT0Px3KOsy9('\060' + chr(0b100111 + 0o110) + chr(0b10010 + 0o40) + '\x33' + chr(951 - 899), 41608 - 41600), ehT0Px3KOsy9('\060' + chr(111) + '\x36' + chr(0b10001 + 0o41), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + chr(0b11001 + 0o32) + '\065' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10748 - 10637) + chr(0b110001) + '\x37' + chr(0b1111 + 0o45), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(0b110001) + chr(0b110100 + 0o3), 8), ehT0Px3KOsy9(chr(48) + chr(0b1110 + 0o141) + chr(0b1100 + 0o46) + chr(53) + chr(1427 - 1373), 28341 - 28333), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(0b110001) + '\x37' + chr(54), 28951 - 28943), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1051 - 1000) + chr(2017 - 1969) + chr(53), 8), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(49) + chr(0b110000) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\064' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b111 + 0o150) + '\062' + chr(2548 - 2496) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1334 - 1286) + chr(0b101000 + 0o107) + chr(0b101111 + 0o4) + chr(0b1111 + 0o43) + chr(630 - 580), 0b1000), ehT0Px3KOsy9(chr(1249 - 1201) + chr(5031 - 4920) + chr(2468 - 2417) + '\061' + chr(1599 - 1547), 0o10), ehT0Px3KOsy9(chr(312 - 264) + chr(111) + chr(0b100 + 0o57) + '\x31' + chr(0b1011 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(1998 - 1950) + chr(0b1000111 + 0o50) + chr(0b110001) + '\x34' + chr(0b11101 + 0o30), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(0b10010 + 0o37) + chr(0b110110), 28557 - 28549), ehT0Px3KOsy9(chr(1493 - 1445) + '\x6f' + chr(50) + chr(0b1 + 0o61) + chr(0b110110), 39126 - 39118), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1100100 + 0o13) + chr(0b110001) + chr(1095 - 1042) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10101 + 0o132) + chr(0b110010) + chr(0b110010) + chr(50), 0o10), ehT0Px3KOsy9(chr(278 - 230) + chr(0b1000101 + 0o52) + chr(0b101 + 0o61) + chr(380 - 331), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1001 + 0o52) + '\x37' + chr(2058 - 2008), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(51) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1094 - 1043) + chr(1161 - 1109) + chr(0b1111 + 0o42), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110111) + chr(2242 - 2190), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110110) + '\064', 0b1000), ehT0Px3KOsy9(chr(381 - 333) + chr(0b1101111) + chr(0b110011) + '\062' + chr(0b110000 + 0o6), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(175 - 121) + '\x32', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2'), chr(9461 - 9361) + chr(0b100110 + 0o77) + chr(99) + chr(0b1011 + 0o144) + chr(8621 - 8521) + chr(0b1100101))('\165' + '\164' + '\146' + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Au6893XWGQTu(EVVr9bEHclel):
KAyZjSEftgFC = []
UE1LSYrhErgb = [xw4DsBfIJ22E for xw4DsBfIJ22E in oqhJDdMJfuwx.listdir(EVVr9bEHclel) if xw4DsBfIJ22E.endswith(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2w\xf63'), chr(8244 - 8144) + chr(0b1000 + 0o135) + chr(0b1100011) + chr(111) + chr(100) + '\145')(chr(1630 - 1513) + '\164' + chr(0b1100110) + '\055' + chr(0b10010 + 0o46)))]
for t9Po9PFTb5At in UE1LSYrhErgb:
kqxRYCMVqvFy = oqhJDdMJfuwx.path.join(EVVr9bEHclel, t9Po9PFTb5At)
with _fwkIVCGgtAN(kqxRYCMVqvFy, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e'), '\144' + chr(1304 - 1203) + chr(0b110111 + 0o54) + chr(111) + chr(100) + '\x65')('\x75' + chr(116) + chr(102) + '\x2d' + '\070')) as Gak0j_n6aQ2Z:
phWq3B3ruJnV = CU5kosqFIwDx.reader(Gak0j_n6aQ2Z)
VNGQdHSFPrso = nSwwHEeM4cxI(phWq3B3ruJnV)
for CNCkC5UH_pcn in phWq3B3ruJnV:
(GwB9nULxQ2wf, TRUOLFLuD08x) = CNCkC5UH_pcn[ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b100011 + 0o114) + chr(0b101100 + 0o4), 0b1000):ehT0Px3KOsy9(chr(1236 - 1188) + chr(0b100100 + 0o113) + chr(50), ord("\x08"))]
xw4DsBfIJ22E = oqhJDdMJfuwx.path.join(EVVr9bEHclel, GwB9nULxQ2wf)
xafqLlk3kkUe(KAyZjSEftgFC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9dd\xf5 \x80z'), '\144' + '\145' + '\x63' + '\x6f' + '\144' + '\x65')(chr(0b1101110 + 0o7) + chr(11016 - 10900) + chr(0b1010100 + 0o22) + '\x2d' + '\x38'))((GwB9nULxQ2wf, xw4DsBfIJ22E, TRUOLFLuD08x))
return KAyZjSEftgFC
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/common_voice.py
|
_file_exists
|
def _file_exists(path, filename):
"""Checks if the filename exists under the path."""
return os.path.isfile(os.path.join(path, filename))
|
python
|
def _file_exists(path, filename):
"""Checks if the filename exists under the path."""
return os.path.isfile(os.path.join(path, filename))
|
[
"def",
"_file_exists",
"(",
"path",
",",
"filename",
")",
":",
"return",
"os",
".",
"path",
".",
"isfile",
"(",
"os",
".",
"path",
".",
"join",
"(",
"path",
",",
"filename",
")",
")"
] |
Checks if the filename exists under the path.
|
[
"Checks",
"if",
"the",
"filename",
"exists",
"under",
"the",
"path",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/common_voice.py#L69-L71
|
train
|
Checks if the filename exists under the path.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(2658 - 2547) + chr(2393 - 2341) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11602 - 11491) + '\x33' + chr(48) + chr(0b100010 + 0o21), 55482 - 55474), ehT0Px3KOsy9('\060' + chr(2773 - 2662) + '\062' + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b110000) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + '\061' + chr(53) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + chr(50) + chr(0b110010) + chr(0b101101 + 0o3), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + chr(0b110010) + chr(0b110011) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(4275 - 4164) + chr(49) + chr(0b101010 + 0o6) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101000 + 0o12) + chr(2296 - 2242) + chr(50), 0b1000), ehT0Px3KOsy9(chr(2206 - 2158) + chr(10825 - 10714) + chr(0b100111 + 0o11), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + chr(0b110011) + chr(2437 - 2387) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(0b1100 + 0o46) + chr(1899 - 1846) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(6896 - 6785) + chr(1901 - 1852) + chr(0b110101), 62280 - 62272), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b100001 + 0o23) + chr(53), 21235 - 21227), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110100) + chr(50), 8), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + '\061' + '\x35' + '\x37', 42941 - 42933), ehT0Px3KOsy9(chr(48) + chr(975 - 864) + chr(1480 - 1429) + chr(0b11 + 0o62) + '\x31', 0o10), ehT0Px3KOsy9(chr(2094 - 2046) + '\x6f' + '\x32' + '\062' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(2163 - 2115) + '\x6f' + '\061' + chr(1402 - 1348) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b100010 + 0o20) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(0b101100 + 0o6) + chr(0b110011) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + chr(0b0 + 0o61) + chr(0b0 + 0o61) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b1111 + 0o41) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(54) + '\x32', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110 + 0o55) + '\x37' + chr(0b100000 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10010 + 0o45) + chr(0b110011 + 0o3), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(49) + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101010 + 0o5) + chr(51) + chr(0b110000) + '\x36', 0b1000), ehT0Px3KOsy9(chr(2048 - 2000) + chr(882 - 771) + chr(0b1001 + 0o51) + '\x31' + chr(0b10110 + 0o40), 0o10), ehT0Px3KOsy9(chr(1041 - 993) + '\x6f' + chr(0b100110 + 0o14) + chr(2452 - 2399) + chr(0b1001 + 0o50), 16827 - 16819), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(0b110111) + '\x37', 0b1000), ehT0Px3KOsy9(chr(815 - 767) + '\157' + chr(0b110010) + '\x31' + chr(846 - 794), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(2035 - 1984) + chr(0b110100 + 0o0) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(1965 - 1916) + chr(0b101100 + 0o5) + '\062', 62569 - 62561), ehT0Px3KOsy9(chr(849 - 801) + chr(0b1101111) + chr(0b110011) + chr(0b110101) + chr(0b110001), 8), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + '\x33' + chr(1672 - 1617) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + '\063' + chr(0b1000 + 0o50) + '\065', 0b1000), ehT0Px3KOsy9(chr(2098 - 2050) + '\157' + chr(0b110001) + chr(0b110000) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\x31' + '\x31' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(2135 - 2087) + chr(111) + chr(49) + '\x31' + '\x34', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b100111 + 0o110) + chr(2108 - 2055) + chr(0b11000 + 0o30), 37249 - 37241)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c'), chr(0b11101 + 0o107) + chr(5958 - 5857) + chr(0b1100011) + chr(9678 - 9567) + chr(8104 - 8004) + chr(0b1100101))(chr(117) + chr(0b1100010 + 0o22) + '\x66' + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def UBrPlnUIKywa(EaCjyhZptSer, xw4DsBfIJ22E):
return xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'K\xb0w\xeb\x06\xf5'), chr(7787 - 7687) + '\x65' + chr(0b1100010 + 0o1) + chr(111) + chr(0b101111 + 0o65) + '\x65')(chr(0b1110101) + chr(0b10100 + 0o140) + chr(107 - 5) + '\055' + chr(2400 - 2344)))(xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'H\xacx\xec'), chr(0b1100100) + chr(0b11011 + 0o112) + chr(3247 - 3148) + '\x6f' + chr(7904 - 7804) + chr(0b1000 + 0o135))('\x75' + chr(116) + '\x66' + chr(0b110 + 0o47) + '\x38'))(EaCjyhZptSer, xw4DsBfIJ22E))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/common_voice.py
|
_is_relative
|
def _is_relative(path, filename):
"""Checks if the filename is relative, not absolute."""
return os.path.abspath(os.path.join(path, filename)).startswith(path)
|
python
|
def _is_relative(path, filename):
"""Checks if the filename is relative, not absolute."""
return os.path.abspath(os.path.join(path, filename)).startswith(path)
|
[
"def",
"_is_relative",
"(",
"path",
",",
"filename",
")",
":",
"return",
"os",
".",
"path",
".",
"abspath",
"(",
"os",
".",
"path",
".",
"join",
"(",
"path",
",",
"filename",
")",
")",
".",
"startswith",
"(",
"path",
")"
] |
Checks if the filename is relative, not absolute.
|
[
"Checks",
"if",
"the",
"filename",
"is",
"relative",
"not",
"absolute",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/common_voice.py#L74-L76
|
train
|
Checks if the filename is relative.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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) + chr(0b11011 + 0o32), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + chr(0b1110 + 0o45) + chr(50), 58301 - 58293), ehT0Px3KOsy9(chr(48) + '\157' + chr(55), 16231 - 16223), ehT0Px3KOsy9(chr(245 - 197) + chr(0b1100010 + 0o15) + chr(1888 - 1838) + chr(0b110001), 17357 - 17349), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1730 - 1680) + chr(1998 - 1943) + '\062', 13721 - 13713), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(2261 - 2210) + chr(184 - 133), 26785 - 26777), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\060' + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100 + 0o0) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10422 - 10311) + '\063' + '\060' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1129 - 1081) + chr(8142 - 8031) + chr(1492 - 1441) + chr(0b110011 + 0o2) + chr(908 - 860), 36651 - 36643), ehT0Px3KOsy9('\060' + chr(0b110100 + 0o73) + chr(51) + '\x31' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(12047 - 11936) + chr(0b110010) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b110 + 0o60) + chr(53), 58192 - 58184), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2509 - 2458) + chr(2675 - 2623), 14946 - 14938), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(6075 - 5964) + chr(2046 - 1995) + chr(0b110100) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b100 + 0o153) + chr(0b1011 + 0o47) + chr(0b110101) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\067' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110011) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + '\063' + '\x33' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\063' + chr(1319 - 1270), 0b1000), ehT0Px3KOsy9(chr(1485 - 1437) + '\157' + '\064' + chr(809 - 754), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b110011) + chr(48) + chr(55), 30968 - 30960), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b110110) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b10 + 0o155) + chr(0b1 + 0o62) + chr(48) + chr(0b0 + 0o60), 51644 - 51636), ehT0Px3KOsy9('\x30' + chr(0b1101 + 0o142) + '\x31' + chr(0b110100) + chr(0b101000 + 0o10), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1110 + 0o43) + chr(0b110001 + 0o3) + chr(55), 32696 - 32688), ehT0Px3KOsy9(chr(597 - 549) + chr(0b1101111) + '\x33' + chr(804 - 755) + '\x30', 34147 - 34139), ehT0Px3KOsy9(chr(48) + chr(6991 - 6880) + chr(0b10101 + 0o36) + '\x36' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\x30' + '\061', 59470 - 59462), ehT0Px3KOsy9(chr(496 - 448) + chr(0b1101010 + 0o5) + chr(0b110 + 0o54) + chr(1628 - 1579) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(51) + chr(49), 15150 - 15142), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(50) + '\066' + chr(0b11111 + 0o27), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b11101 + 0o26), 7320 - 7312), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100100 + 0o15) + '\067' + chr(648 - 599), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b10111 + 0o130) + '\x31' + chr(0b1100 + 0o51) + chr(1519 - 1470), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\067' + '\062', 26024 - 26016), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(51) + chr(805 - 757), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1642 - 1593) + '\x35' + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\062' + chr(0b1011 + 0o53), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(10474 - 10363) + chr(0b11100 + 0o31) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'#'), chr(0b1000101 + 0o37) + '\x65' + '\143' + chr(0b1101111) + chr(0b1100100) + '\145')(chr(117) + '\164' + '\146' + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def fwHvu2nl3sk1(EaCjyhZptSer, xw4DsBfIJ22E):
return xafqLlk3kkUe(oqhJDdMJfuwx.path.abspath(oqhJDdMJfuwx.path.join(EaCjyhZptSer, xw4DsBfIJ22E)), xafqLlk3kkUe(SXOLrMavuUCe(b'~nfc\xce\xe8\xf5K\xb7\x80'), chr(4687 - 4587) + '\145' + chr(0b1001101 + 0o26) + chr(111) + '\x64' + chr(7483 - 7382))(chr(221 - 104) + '\164' + chr(3658 - 3556) + '\055' + chr(0b101010 + 0o16)))(EaCjyhZptSer)
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/ppo.py
|
define_ppo_step
|
def define_ppo_step(data_points, hparams, action_space, lr):
"""Define ppo step."""
observation, action, discounted_reward, norm_advantage, old_pdf = data_points
obs_shape = common_layers.shape_list(observation)
observation = tf.reshape(
observation, [obs_shape[0] * obs_shape[1]] + obs_shape[2:]
)
(logits, new_value) = get_policy(observation, hparams, action_space)
logits = tf.reshape(logits, obs_shape[:2] + [action_space.n])
new_value = tf.reshape(new_value, obs_shape[:2])
new_policy_dist = tfp.distributions.Categorical(logits=logits)
new_pdf = new_policy_dist.prob(action)
ratio = new_pdf / old_pdf
clipped_ratio = tf.clip_by_value(ratio, 1 - hparams.clipping_coef,
1 + hparams.clipping_coef)
surrogate_objective = tf.minimum(clipped_ratio * norm_advantage,
ratio * norm_advantage)
policy_loss = -tf.reduce_mean(surrogate_objective)
value_error = new_value - discounted_reward
value_loss = hparams.value_loss_coef * tf.reduce_mean(value_error ** 2)
entropy = new_policy_dist.entropy()
entropy_loss = -hparams.entropy_loss_coef * tf.reduce_mean(entropy)
losses = [policy_loss, value_loss, entropy_loss]
loss = sum(losses)
variables = tf.global_variables(hparams.policy_network + "/.*")
train_op = optimize.optimize(loss, lr, hparams, variables=variables)
with tf.control_dependencies([train_op]):
return [tf.identity(x) for x in losses]
|
python
|
def define_ppo_step(data_points, hparams, action_space, lr):
"""Define ppo step."""
observation, action, discounted_reward, norm_advantage, old_pdf = data_points
obs_shape = common_layers.shape_list(observation)
observation = tf.reshape(
observation, [obs_shape[0] * obs_shape[1]] + obs_shape[2:]
)
(logits, new_value) = get_policy(observation, hparams, action_space)
logits = tf.reshape(logits, obs_shape[:2] + [action_space.n])
new_value = tf.reshape(new_value, obs_shape[:2])
new_policy_dist = tfp.distributions.Categorical(logits=logits)
new_pdf = new_policy_dist.prob(action)
ratio = new_pdf / old_pdf
clipped_ratio = tf.clip_by_value(ratio, 1 - hparams.clipping_coef,
1 + hparams.clipping_coef)
surrogate_objective = tf.minimum(clipped_ratio * norm_advantage,
ratio * norm_advantage)
policy_loss = -tf.reduce_mean(surrogate_objective)
value_error = new_value - discounted_reward
value_loss = hparams.value_loss_coef * tf.reduce_mean(value_error ** 2)
entropy = new_policy_dist.entropy()
entropy_loss = -hparams.entropy_loss_coef * tf.reduce_mean(entropy)
losses = [policy_loss, value_loss, entropy_loss]
loss = sum(losses)
variables = tf.global_variables(hparams.policy_network + "/.*")
train_op = optimize.optimize(loss, lr, hparams, variables=variables)
with tf.control_dependencies([train_op]):
return [tf.identity(x) for x in losses]
|
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] |
Define ppo step.
|
[
"Define",
"ppo",
"step",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/ppo.py#L33-L68
|
train
|
Define ppo step.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(3062 - 2951) + '\062' + '\067' + chr(2479 - 2428), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b100 + 0o61) + chr(134 - 85), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110001) + chr(0b110101), 63702 - 63694), ehT0Px3KOsy9(chr(931 - 883) + chr(0b1001011 + 0o44) + chr(1506 - 1455) + chr(0b101111 + 0o5) + chr(0b1110 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(2280 - 2232), 41165 - 41157), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\067' + chr(49), 12456 - 12448), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(374 - 322) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(49) + chr(0b110010) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8191 - 8080) + '\063' + chr(0b110010) + '\060', 15851 - 15843), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + '\x32' + chr(0b110001) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + chr(1299 - 1249) + chr(0b11011 + 0o31) + '\061', 0b1000), ehT0Px3KOsy9(chr(662 - 614) + chr(0b10 + 0o155) + chr(51) + '\x33' + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(12133 - 12022) + chr(811 - 761) + chr(0b101010 + 0o10) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110110) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(406 - 355) + chr(0b110111) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b110110) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(588 - 538) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(1517 - 1406) + chr(0b11001 + 0o30) + chr(0b110111) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\064' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(50) + chr(0b111 + 0o55) + chr(848 - 798), ord("\x08")), ehT0Px3KOsy9(chr(2179 - 2131) + chr(0b100011 + 0o114) + chr(2424 - 2373) + chr(0b110001) + chr(121 - 66), 10518 - 10510), ehT0Px3KOsy9('\060' + chr(0b10 + 0o155) + chr(1848 - 1798) + chr(1417 - 1367) + chr(0b100100 + 0o20), 49705 - 49697), ehT0Px3KOsy9('\x30' + chr(999 - 888) + chr(51) + chr(0b110010) + '\062', 34145 - 34137), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11111 + 0o23) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(121 - 73) + chr(0b1001001 + 0o46) + chr(2402 - 2351) + chr(0b101001 + 0o13) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3814 - 3703) + chr(0b110011) + chr(51) + '\066', 0o10), ehT0Px3KOsy9(chr(81 - 33) + chr(3034 - 2923) + chr(2288 - 2239) + chr(48) + chr(460 - 409), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b110010) + chr(1130 - 1082), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110111) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + '\063' + chr(53) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1248 - 1200) + '\x6f' + chr(0b110011) + chr(0b101001 + 0o7) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1521 - 1473) + '\157' + chr(50) + chr(637 - 586) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\061', 33457 - 33449), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b10101 + 0o40) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\065' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\x36' + '\x34', 46160 - 46152), ehT0Px3KOsy9(chr(2029 - 1981) + chr(3731 - 3620) + chr(0b10111 + 0o40) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + '\x33' + chr(2489 - 2438) + '\x34', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(1850 - 1797) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x95'), chr(8655 - 8555) + chr(7684 - 7583) + chr(99) + '\157' + chr(0b10000 + 0o124) + chr(0b1100101))(chr(0b1000000 + 0o65) + chr(116) + '\146' + chr(0b1001 + 0o44) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def snCdOID1uzrA(IJjWvJalSXVf, n4ljua2gi1Pr, yiKBhCVj2bwE, Zzs55KO_HKfp):
(mKQm526a9xSD, vyskHDXig6uT, KqOMww_zDKfc, CJhk14gM5aLb, pDBKb_AddMCV) = IJjWvJalSXVf
ZOxGtswZWoAi = jSKPaHwSAfVv.shape_list(mKQm526a9xSD)
mKQm526a9xSD = IDJ2eXGCBCDu.reshape(mKQm526a9xSD, [ZOxGtswZWoAi[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\060', 0o10)] * ZOxGtswZWoAi[ehT0Px3KOsy9(chr(48) + chr(0b1010010 + 0o35) + chr(49), 0b1000)]] + ZOxGtswZWoAi[ehT0Px3KOsy9(chr(430 - 382) + '\x6f' + '\062', ord("\x08")):])
(wF9nmvjsKjYM, Mi65arwcIK66) = zh9fX_r7dhfA(mKQm526a9xSD, n4ljua2gi1Pr, yiKBhCVj2bwE)
wF9nmvjsKjYM = IDJ2eXGCBCDu.reshape(wF9nmvjsKjYM, ZOxGtswZWoAi[:ehT0Px3KOsy9('\x30' + '\157' + chr(998 - 948), 8)] + [yiKBhCVj2bwE.m1NkCryOw9Bx])
Mi65arwcIK66 = IDJ2eXGCBCDu.reshape(Mi65arwcIK66, ZOxGtswZWoAi[:ehT0Px3KOsy9(chr(48) + chr(111) + '\062', 8)])
N5dQCegJzQ1_ = Ys555qziAbad.distributions.Categorical(logits=wF9nmvjsKjYM)
IUPLOx2yRD3T = N5dQCegJzQ1_.prob(vyskHDXig6uT)
pyiPBPsXZj35 = IUPLOx2yRD3T / pDBKb_AddMCV
FtkBHnISKrPa = IDJ2eXGCBCDu.clip_by_value(pyiPBPsXZj35, ehT0Px3KOsy9('\x30' + '\157' + chr(0b1111 + 0o42), 8) - n4ljua2gi1Pr.tR7oxut_DDUa, ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(4272 - 4161) + '\x31', 8) + n4ljua2gi1Pr.tR7oxut_DDUa)
ePVvtCWuFvvU = IDJ2eXGCBCDu.minimum(FtkBHnISKrPa * CJhk14gM5aLb, pyiPBPsXZj35 * CJhk14gM5aLb)
DKqqgDZCf18Y = -IDJ2eXGCBCDu.reduce_mean(ePVvtCWuFvvU)
nMHSfz2ab3Xx = Mi65arwcIK66 - KqOMww_zDKfc
hKeS2yhNpAe2 = n4ljua2gi1Pr.una4dD52xM_E * IDJ2eXGCBCDu.reduce_mean(nMHSfz2ab3Xx ** ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\x32', 8))
odmWyBJVXcJh = N5dQCegJzQ1_.odmWyBJVXcJh()
QjNH2PKALx6g = -n4ljua2gi1Pr.UaBm_QU7rsDQ * IDJ2eXGCBCDu.reduce_mean(odmWyBJVXcJh)
eJKWkHA7qzlZ = [DKqqgDZCf18Y, hKeS2yhNpAe2, QjNH2PKALx6g]
YpO0BcZ6fMsf = xkxBmo49x2An(eJKWkHA7qzlZ)
DaDu8eJMPmzT = IDJ2eXGCBCDu.global_variables(n4ljua2gi1Pr.c2VHuW1Ajc2l + xafqLlk3kkUe(SXOLrMavuUCe(b'\x94G\xa7'), '\144' + chr(0b1001011 + 0o32) + '\143' + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))
_sRzZqw7qhHl = M4lwI8bLCQGq.optimize(YpO0BcZ6fMsf, Zzs55KO_HKfp, n4ljua2gi1Pr, variables=DaDu8eJMPmzT)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\x06\xe3\x91j`\x15x2\xb5\xfb\xc4\xb6\xf2R\x92\x90\xfe\x1f\x10'), chr(0b1100100) + '\145' + chr(0b10001 + 0o122) + chr(0b1001100 + 0o43) + chr(193 - 93) + '\x65')('\x75' + chr(0b101100 + 0o110) + chr(102) + '\055' + '\070'))([_sRzZqw7qhHl]):
return [xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd/\xd8\xa2-b2\x7f5\xa6\xd2\xe6'), '\x64' + chr(878 - 777) + chr(99) + chr(0b100100 + 0o113) + chr(1705 - 1605) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\x66' + '\055' + chr(0b11000 + 0o40)))(OeWW0F1dBPRQ) for OeWW0F1dBPRQ in eJKWkHA7qzlZ]
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/ppo.py
|
define_ppo_epoch
|
def define_ppo_epoch(memory, hparams, action_space, batch_size):
"""PPO epoch."""
observation, reward, done, action, old_pdf, value = memory
# This is to avoid propagating gradients through simulated environment.
observation = tf.stop_gradient(observation)
action = tf.stop_gradient(action)
reward = tf.stop_gradient(reward)
if hasattr(hparams, "rewards_preprocessing_fun"):
reward = hparams.rewards_preprocessing_fun(reward)
done = tf.stop_gradient(done)
value = tf.stop_gradient(value)
old_pdf = tf.stop_gradient(old_pdf)
advantage = calculate_generalized_advantage_estimator(
reward, value, done, hparams.gae_gamma, hparams.gae_lambda)
discounted_reward = tf.stop_gradient(advantage + value[:-1])
advantage_mean, advantage_variance = tf.nn.moments(advantage, axes=[0, 1],
keep_dims=True)
advantage_normalized = tf.stop_gradient(
(advantage - advantage_mean)/(tf.sqrt(advantage_variance) + 1e-8))
add_lists_elementwise = lambda l1, l2: [x + y for x, y in zip(l1, l2)]
number_of_batches = ((hparams.epoch_length-1) * hparams.optimization_epochs
// hparams.optimization_batch_size)
epoch_length = hparams.epoch_length
if hparams.effective_num_agents is not None:
number_of_batches *= batch_size
number_of_batches //= hparams.effective_num_agents
epoch_length //= hparams.effective_num_agents
assert number_of_batches > 0, "Set the paremeters so that number_of_batches>0"
lr = learning_rate.learning_rate_schedule(hparams)
shuffled_indices = [tf.random.shuffle(tf.range(epoch_length - 1))
for _ in range(hparams.optimization_epochs)]
shuffled_indices = tf.concat(shuffled_indices, axis=0)
shuffled_indices = shuffled_indices[:number_of_batches *
hparams.optimization_batch_size]
indices_of_batches = tf.reshape(shuffled_indices,
shape=(-1, hparams.optimization_batch_size))
input_tensors = [observation, action, discounted_reward,
advantage_normalized, old_pdf]
ppo_step_rets = tf.scan(
lambda a, i: add_lists_elementwise( # pylint: disable=g-long-lambda
a, define_ppo_step([tf.gather(t, indices_of_batches[i, :])
for t in input_tensors],
hparams, action_space, lr
)),
tf.range(number_of_batches),
[0., 0., 0.],
parallel_iterations=1)
ppo_summaries = [tf.reduce_mean(ret) / number_of_batches
for ret in ppo_step_rets]
ppo_summaries.append(lr)
summaries_names = [
"policy_loss", "value_loss", "entropy_loss", "learning_rate"
]
summaries = [tf.summary.scalar(summary_name, summary)
for summary_name, summary in zip(summaries_names, ppo_summaries)]
losses_summary = tf.summary.merge(summaries)
for summary_name, summary in zip(summaries_names, ppo_summaries):
losses_summary = tf.Print(losses_summary, [summary], summary_name + ": ")
return losses_summary
|
python
|
def define_ppo_epoch(memory, hparams, action_space, batch_size):
"""PPO epoch."""
observation, reward, done, action, old_pdf, value = memory
# This is to avoid propagating gradients through simulated environment.
observation = tf.stop_gradient(observation)
action = tf.stop_gradient(action)
reward = tf.stop_gradient(reward)
if hasattr(hparams, "rewards_preprocessing_fun"):
reward = hparams.rewards_preprocessing_fun(reward)
done = tf.stop_gradient(done)
value = tf.stop_gradient(value)
old_pdf = tf.stop_gradient(old_pdf)
advantage = calculate_generalized_advantage_estimator(
reward, value, done, hparams.gae_gamma, hparams.gae_lambda)
discounted_reward = tf.stop_gradient(advantage + value[:-1])
advantage_mean, advantage_variance = tf.nn.moments(advantage, axes=[0, 1],
keep_dims=True)
advantage_normalized = tf.stop_gradient(
(advantage - advantage_mean)/(tf.sqrt(advantage_variance) + 1e-8))
add_lists_elementwise = lambda l1, l2: [x + y for x, y in zip(l1, l2)]
number_of_batches = ((hparams.epoch_length-1) * hparams.optimization_epochs
// hparams.optimization_batch_size)
epoch_length = hparams.epoch_length
if hparams.effective_num_agents is not None:
number_of_batches *= batch_size
number_of_batches //= hparams.effective_num_agents
epoch_length //= hparams.effective_num_agents
assert number_of_batches > 0, "Set the paremeters so that number_of_batches>0"
lr = learning_rate.learning_rate_schedule(hparams)
shuffled_indices = [tf.random.shuffle(tf.range(epoch_length - 1))
for _ in range(hparams.optimization_epochs)]
shuffled_indices = tf.concat(shuffled_indices, axis=0)
shuffled_indices = shuffled_indices[:number_of_batches *
hparams.optimization_batch_size]
indices_of_batches = tf.reshape(shuffled_indices,
shape=(-1, hparams.optimization_batch_size))
input_tensors = [observation, action, discounted_reward,
advantage_normalized, old_pdf]
ppo_step_rets = tf.scan(
lambda a, i: add_lists_elementwise( # pylint: disable=g-long-lambda
a, define_ppo_step([tf.gather(t, indices_of_batches[i, :])
for t in input_tensors],
hparams, action_space, lr
)),
tf.range(number_of_batches),
[0., 0., 0.],
parallel_iterations=1)
ppo_summaries = [tf.reduce_mean(ret) / number_of_batches
for ret in ppo_step_rets]
ppo_summaries.append(lr)
summaries_names = [
"policy_loss", "value_loss", "entropy_loss", "learning_rate"
]
summaries = [tf.summary.scalar(summary_name, summary)
for summary_name, summary in zip(summaries_names, ppo_summaries)]
losses_summary = tf.summary.merge(summaries)
for summary_name, summary in zip(summaries_names, ppo_summaries):
losses_summary = tf.Print(losses_summary, [summary], summary_name + ": ")
return losses_summary
|
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] |
PPO epoch.
|
[
"PPO",
"epoch",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/ppo.py#L71-L142
|
train
|
Define the PPO epoch.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b0 + 0o157) + '\062' + chr(0b110001) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10662 - 10551) + chr(51) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b110101 + 0o1) + chr(2722 - 2669), 0o10), ehT0Px3KOsy9(chr(339 - 291) + '\157' + '\x32' + '\062' + chr(0b101 + 0o53), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(54) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110000) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(1035 - 987) + chr(626 - 575), 0o10), ehT0Px3KOsy9(chr(2288 - 2240) + '\x6f' + chr(0b100100 + 0o23) + '\066', 64139 - 64131), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(1279 - 1224) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(533 - 485) + chr(111) + chr(0b110111) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b11000 + 0o127) + chr(2348 - 2297) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10101 + 0o36) + '\x30' + chr(615 - 565), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(54) + chr(0b10010 + 0o43), 0b1000), ehT0Px3KOsy9('\060' + chr(4793 - 4682) + chr(51) + '\x34' + chr(0b1010 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + '\063' + '\x30', 8), ehT0Px3KOsy9(chr(1510 - 1462) + chr(0b1101111) + '\x32' + chr(53) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(0b11 + 0o60) + '\063' + '\063', 49766 - 49758), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(49) + '\x35' + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(1838 - 1789) + chr(0b110001), 44943 - 44935), ehT0Px3KOsy9('\060' + chr(0b100010 + 0o115) + chr(0b100100 + 0o15) + chr(1724 - 1673) + chr(87 - 33), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + chr(2129 - 2077) + chr(52), 137 - 129), ehT0Px3KOsy9(chr(1569 - 1521) + '\157' + chr(0b101111 + 0o10) + chr(0b101001 + 0o14), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(59 - 10) + chr(0b110100) + chr(0b101010 + 0o6), 57527 - 57519), ehT0Px3KOsy9(chr(885 - 837) + chr(0b1101111) + chr(0b110011) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\063' + chr(0b10001 + 0o44), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + chr(504 - 454) + chr(54) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(0b110110) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x36' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(51), 27056 - 27048), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(0b100001 + 0o21) + '\x33' + chr(1542 - 1491), ord("\x08")), ehT0Px3KOsy9(chr(1349 - 1301) + '\157' + chr(0b100101 + 0o14) + '\062' + chr(2140 - 2085), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(0b11111 + 0o24) + chr(0b110010) + chr(0b1 + 0o65), 0o10), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + chr(0b101000 + 0o13) + chr(0b110000) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(100 - 52) + '\x6f' + '\063' + '\x37' + chr(706 - 658), 4061 - 4053), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000 + 0o1) + '\063' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b100110 + 0o17) + chr(0b101001 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\x36' + '\x31', 41564 - 41556), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100110 + 0o13) + '\067', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(111) + '\144' + chr(4778 - 4677))('\x75' + chr(0b1110100) + chr(102) + chr(0b101001 + 0o4) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def crW4tKTTvOTi(KcR7WgfLppqF, n4ljua2gi1Pr, yiKBhCVj2bwE, ix9dZyeAmUxY):
(mKQm526a9xSD, jEXsEsgeguP4, Ki86oC9WfglU, vyskHDXig6uT, pDBKb_AddMCV, QmmgWUB13VCJ) = KcR7WgfLppqF
mKQm526a9xSD = IDJ2eXGCBCDu.stop_gradient(mKQm526a9xSD)
vyskHDXig6uT = IDJ2eXGCBCDu.stop_gradient(vyskHDXig6uT)
jEXsEsgeguP4 = IDJ2eXGCBCDu.stop_gradient(jEXsEsgeguP4)
if lot1PSoAwYhj(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc}\x82\xf1G 0a\x0fMkl\xb0\x1a\x82}\xd9\xa8\x02\xe79{[\x15w'), chr(0b11 + 0o141) + '\145' + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(117) + '\164' + chr(10246 - 10144) + chr(157 - 112) + '\070')):
jEXsEsgeguP4 = n4ljua2gi1Pr.rewards_preprocessing_fun(jEXsEsgeguP4)
Ki86oC9WfglU = IDJ2eXGCBCDu.stop_gradient(Ki86oC9WfglU)
QmmgWUB13VCJ = IDJ2eXGCBCDu.stop_gradient(QmmgWUB13VCJ)
pDBKb_AddMCV = IDJ2eXGCBCDu.stop_gradient(pDBKb_AddMCV)
GxYzKv1rsin0 = hwMOKRceMRiC(jEXsEsgeguP4, QmmgWUB13VCJ, Ki86oC9WfglU, n4ljua2gi1Pr.ECOF_vbN9tg4, n4ljua2gi1Pr.iX5fk20f2I6I)
KqOMww_zDKfc = IDJ2eXGCBCDu.stop_gradient(GxYzKv1rsin0 + QmmgWUB13VCJ[:-ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 0o10)])
(guypMi2XND8E, xN1HhrneKQna) = IDJ2eXGCBCDu.nn.moments(GxYzKv1rsin0, axes=[ehT0Px3KOsy9(chr(0b110000) + chr(1315 - 1204) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(1691 - 1580) + chr(0b110001), 8)], keep_dims=ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + '\x31', 8))
ACSwA1usbtsA = IDJ2eXGCBCDu.stop_gradient((GxYzKv1rsin0 - guypMi2XND8E) / (IDJ2eXGCBCDu.sqrt(xN1HhrneKQna) + 1e-08))
def KyFF4P68VVSQ(FHRTZg5jbMBx, EQ8qRJ1SGZx2):
return [OeWW0F1dBPRQ + SqiSOtYOqOJH for (OeWW0F1dBPRQ, SqiSOtYOqOJH) in pZ0NK2y6HRbn(FHRTZg5jbMBx, EQ8qRJ1SGZx2)]
IoDBzLkqG4dR = (n4ljua2gi1Pr.oDj4OD6jdt6s - ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(0b110001), 8)) * n4ljua2gi1Pr.t16G_2zNG6_i // n4ljua2gi1Pr.ruHyNXMdY5lX
oDj4OD6jdt6s = n4ljua2gi1Pr.oDj4OD6jdt6s
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb~\x93\xf5V0*H\x1a``i\xaf*\x80\x7f\xcf\xb5\x1f\xfa'), '\144' + chr(101) + chr(0b1100011) + chr(0b1101110 + 0o1) + '\144' + chr(101))('\x75' + '\x74' + chr(0b1100110) + chr(0b10110 + 0o27) + '\x38')) is not None:
IoDBzLkqG4dR *= ix9dZyeAmUxY
IoDBzLkqG4dR //= n4ljua2gi1Pr.effective_num_agents
oDj4OD6jdt6s //= n4ljua2gi1Pr.effective_num_agents
assert IoDBzLkqG4dR > ehT0Px3KOsy9(chr(1328 - 1280) + '\157' + chr(0b110000), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd}\x81\xb0A,&\x1e\x0f^|y\xaf\x10\x95}\xd8\xa8K\xfa1\x04I\x08x\xa9\x96\\\xc7~i\xfe%\x89\xaa\x9e\x03\xca\xd0{\xedp\x90\xe3\x0bt'), chr(0b110101 + 0o57) + chr(9625 - 9524) + chr(0b110111 + 0o54) + chr(8071 - 7960) + chr(100) + chr(0b110110 + 0o57))(chr(0b1110101) + '\x74' + '\x66' + chr(45) + chr(819 - 763))
Zzs55KO_HKfp = QGSIpd_yUNzU.Lz_s7neUzM5V(n4ljua2gi1Pr)
IUjnwoo4nh_c = [IDJ2eXGCBCDu.random.shuffle(IDJ2eXGCBCDu.range(oDj4OD6jdt6s - ehT0Px3KOsy9(chr(0b110000) + chr(11562 - 11451) + chr(0b110001), 8))) for VNGQdHSFPrso in vQr8gNKaIaWE(n4ljua2gi1Pr.t16G_2zNG6_i)]
IUjnwoo4nh_c = IDJ2eXGCBCDu.concat(IUjnwoo4nh_c, axis=ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 8))
IUjnwoo4nh_c = IUjnwoo4nh_c[:IoDBzLkqG4dR * n4ljua2gi1Pr.ruHyNXMdY5lX]
YInO7dV9o3xD = IDJ2eXGCBCDu.reshape(IUjnwoo4nh_c, shape=(-ehT0Px3KOsy9('\060' + chr(0b101001 + 0o106) + chr(49), 8), n4ljua2gi1Pr.ruHyNXMdY5lX))
vcxSii06LM_u = [mKQm526a9xSD, vyskHDXig6uT, KqOMww_zDKfc, ACSwA1usbtsA, pDBKb_AddMCV]
CeU2_ZWWpxeJ = IDJ2eXGCBCDu.scan(lambda XPh1qbAgrPgG, WVxHKyX45z_L: KyFF4P68VVSQ(XPh1qbAgrPgG, snCdOID1uzrA([IDJ2eXGCBCDu.gather(YeT3l7JgTbWR, YInO7dV9o3xD[WVxHKyX45z_L, :]) for YeT3l7JgTbWR in vcxSii06LM_u], n4ljua2gi1Pr, yiKBhCVj2bwE, Zzs55KO_HKfp)), IDJ2eXGCBCDu.range(IoDBzLkqG4dR), [0.0, 0.0, 0.0], parallel_iterations=ehT0Px3KOsy9(chr(0b110000) + chr(9156 - 9045) + chr(1846 - 1797), 8))
NckGXEORRy92 = [IDJ2eXGCBCDu.reduce_mean(VHn4CV4Ymrei) / IoDBzLkqG4dR for VHn4CV4Ymrei in CeU2_ZWWpxeJ]
xafqLlk3kkUe(NckGXEORRy92, xafqLlk3kkUe(SXOLrMavuUCe(b'\xefh\x85\xf5[ '), chr(1492 - 1392) + chr(0b1001100 + 0o31) + '\x63' + chr(0b1101111) + chr(100) + '\145')(chr(10053 - 9936) + chr(116) + chr(0b1100110) + chr(0b101000 + 0o5) + chr(0b110000 + 0o10)))(Zzs55KO_HKfp)
u0hvUmV7pCyb = [xafqLlk3kkUe(SXOLrMavuUCe(b'\xfew\x99\xf9V=\x1cR\x10L}'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(886 - 784) + chr(1677 - 1632) + chr(706 - 650)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8y\x99\xe5P\x1b/Q\x0cL'), chr(0b1010011 + 0o21) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(9761 - 9661) + chr(101))('\x75' + '\x74' + chr(0b1100110) + chr(45) + chr(841 - 785)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xebv\x81\xe2Z4:a\x13P}o'), chr(0b100011 + 0o101) + '\145' + chr(842 - 743) + chr(0b110110 + 0o71) + chr(3407 - 3307) + chr(0b1100101))(chr(117) + chr(0b10000 + 0o144) + '\x66' + chr(45) + chr(1573 - 1517)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2}\x94\xe2[--Y Moh\xa7'), chr(0b110101 + 0o57) + chr(1007 - 906) + chr(3650 - 3551) + '\157' + chr(100) + chr(0b1100000 + 0o5))('\165' + chr(0b1001100 + 0o50) + '\146' + chr(0b101101) + '\x38')]
Ss61w8pBYeZH = [IDJ2eXGCBCDu.summary.scalar(TavuWmYAL8Fp, oLgyQ45ORWXM) for (TavuWmYAL8Fp, oLgyQ45ORWXM) in pZ0NK2y6HRbn(u0hvUmV7pCyb, NckGXEORRy92)]
EgAeBs9L0ncO = IDJ2eXGCBCDu.summary.mP5l0dPhBkus(Ss61w8pBYeZH)
for (TavuWmYAL8Fp, oLgyQ45ORWXM) in pZ0NK2y6HRbn(u0hvUmV7pCyb, NckGXEORRy92):
EgAeBs9L0ncO = IDJ2eXGCBCDu.Print(EgAeBs9L0ncO, [oLgyQ45ORWXM], TavuWmYAL8Fp + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb48'), chr(6803 - 6703) + '\145' + chr(0b1100011) + '\x6f' + chr(4692 - 4592) + chr(0b1100101))('\x75' + '\164' + chr(102) + '\055' + chr(3102 - 3046)))
return EgAeBs9L0ncO
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/ppo.py
|
calculate_generalized_advantage_estimator
|
def calculate_generalized_advantage_estimator(
reward, value, done, gae_gamma, gae_lambda):
# pylint: disable=g-doc-args
"""Generalized advantage estimator.
Returns:
GAE estimator. It will be one element shorter than the input; this is
because to compute GAE for [0, ..., N-1] one needs V for [1, ..., N].
"""
# pylint: enable=g-doc-args
next_value = value[1:, :]
next_not_done = 1 - tf.cast(done[1:, :], tf.float32)
delta = (reward[:-1, :] + gae_gamma * next_value * next_not_done
- value[:-1, :])
return_ = tf.reverse(tf.scan(
lambda agg, cur: cur[0] + cur[1] * gae_gamma * gae_lambda * agg,
[tf.reverse(delta, [0]), tf.reverse(next_not_done, [0])],
tf.zeros_like(delta[0, :]),
parallel_iterations=1), [0])
return tf.check_numerics(return_, "return")
|
python
|
def calculate_generalized_advantage_estimator(
reward, value, done, gae_gamma, gae_lambda):
# pylint: disable=g-doc-args
"""Generalized advantage estimator.
Returns:
GAE estimator. It will be one element shorter than the input; this is
because to compute GAE for [0, ..., N-1] one needs V for [1, ..., N].
"""
# pylint: enable=g-doc-args
next_value = value[1:, :]
next_not_done = 1 - tf.cast(done[1:, :], tf.float32)
delta = (reward[:-1, :] + gae_gamma * next_value * next_not_done
- value[:-1, :])
return_ = tf.reverse(tf.scan(
lambda agg, cur: cur[0] + cur[1] * gae_gamma * gae_lambda * agg,
[tf.reverse(delta, [0]), tf.reverse(next_not_done, [0])],
tf.zeros_like(delta[0, :]),
parallel_iterations=1), [0])
return tf.check_numerics(return_, "return")
|
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] |
Generalized advantage estimator.
Returns:
GAE estimator. It will be one element shorter than the input; this is
because to compute GAE for [0, ..., N-1] one needs V for [1, ..., N].
|
[
"Generalized",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/ppo.py#L145-L166
|
train
|
Generalized advantage 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(0b101 + 0o53) + chr(7020 - 6909) + chr(0b110011) + chr(1104 - 1055) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(1682 - 1633) + chr(48) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(12130 - 12019) + chr(0b101 + 0o55) + chr(52) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101101 + 0o4) + chr(869 - 815) + chr(0b110110), 54004 - 53996), ehT0Px3KOsy9('\060' + '\157' + '\065' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(2117 - 2069) + '\x6f' + chr(49) + '\065' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b101001 + 0o12) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101101 + 0o5) + '\064' + chr(48), 5970 - 5962), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1702 - 1651) + '\061' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10000 + 0o137) + chr(0b110011) + chr(51) + chr(2288 - 2238), 35097 - 35089), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b110010) + chr(2912 - 2858) + chr(0b110011), 26840 - 26832), ehT0Px3KOsy9(chr(941 - 893) + chr(0b1101111) + chr(0b110010) + '\x30' + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(48) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(2223 - 2171) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11057 - 10946) + '\062' + chr(1348 - 1296) + '\066', 0b1000), ehT0Px3KOsy9(chr(508 - 460) + chr(0b111010 + 0o65) + chr(1124 - 1075) + '\060' + '\062', 0b1000), ehT0Px3KOsy9(chr(1818 - 1770) + '\157' + chr(0b110001) + chr(0b110001 + 0o2) + chr(0b110011 + 0o2), 35762 - 35754), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b10010 + 0o45) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2355 - 2304) + chr(1623 - 1570) + chr(222 - 173), 0b1000), ehT0Px3KOsy9(chr(1094 - 1046) + '\x6f' + chr(0b110001) + chr(1455 - 1400) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(0b110011 + 0o0) + chr(0b110010) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b11010 + 0o35) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4728 - 4617) + chr(2577 - 2524) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + chr(51) + chr(2337 - 2288) + chr(51), 8), ehT0Px3KOsy9(chr(2029 - 1981) + chr(0b1101111) + chr(0b1110 + 0o43) + chr(51) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110111) + '\x37', 0b1000), ehT0Px3KOsy9(chr(386 - 338) + chr(111) + chr(575 - 525) + chr(0b101000 + 0o17) + '\x33', 0b1000), ehT0Px3KOsy9(chr(113 - 65) + chr(4456 - 4345) + chr(0b110001) + '\x37' + chr(0b10101 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1100111 + 0o10) + chr(0b0 + 0o62) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001011 + 0o44) + chr(0b110 + 0o57) + chr(0b1000 + 0o57), 62242 - 62234), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + '\064' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1468 - 1420) + chr(7730 - 7619) + chr(1598 - 1547) + '\066' + '\061', 0b1000), ehT0Px3KOsy9(chr(509 - 461) + chr(0b1101111) + '\x32' + '\061' + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(7515 - 7404) + chr(50) + chr(0b110101) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b100101 + 0o112) + '\x33' + chr(51) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(186 - 138) + chr(0b1010000 + 0o37) + '\x31' + chr(1098 - 1048) + chr(0b110000), 47383 - 47375), ehT0Px3KOsy9(chr(509 - 461) + chr(0b100100 + 0o113) + chr(273 - 224) + chr(50) + '\063', 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(0b110001) + '\060' + chr(0b110001), 35521 - 35513), ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + chr(49) + chr(50) + '\x31', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(1788 - 1735) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5'), chr(0b111 + 0o135) + chr(101) + chr(99) + chr(0b1010001 + 0o36) + chr(1773 - 1673) + '\145')(chr(117) + '\164' + chr(0b1100110) + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def hwMOKRceMRiC(jEXsEsgeguP4, QmmgWUB13VCJ, Ki86oC9WfglU, ECOF_vbN9tg4, iX5fk20f2I6I):
iiMqtYXbzkHD = QmmgWUB13VCJ[ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + '\061', ord("\x08")):, :]
PNsD1J3TURhl = ehT0Px3KOsy9(chr(943 - 895) + chr(0b1101110 + 0o1) + chr(0b10111 + 0o32), 8) - IDJ2eXGCBCDu.cast(Ki86oC9WfglU[ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061', 8):, :], IDJ2eXGCBCDu.float32)
cWaXceDbkqGZ = jEXsEsgeguP4[:-ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + '\x31', 8), :] + ECOF_vbN9tg4 * iiMqtYXbzkHD * PNsD1J3TURhl - QmmgWUB13VCJ[:-ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 8), :]
WRt3kqcwisPA = IDJ2eXGCBCDu.jPHyoIWAxyI_(IDJ2eXGCBCDu.scan(lambda NCyZNN97GDWZ, wL6S4kgnTowq: wL6S4kgnTowq[ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1101 + 0o43), 0o10)] + wL6S4kgnTowq[ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001), 8)] * ECOF_vbN9tg4 * iX5fk20f2I6I * NCyZNN97GDWZ, [IDJ2eXGCBCDu.jPHyoIWAxyI_(cWaXceDbkqGZ, [ehT0Px3KOsy9(chr(2108 - 2060) + '\157' + '\060', 8)]), IDJ2eXGCBCDu.jPHyoIWAxyI_(PNsD1J3TURhl, [ehT0Px3KOsy9(chr(1033 - 985) + '\157' + chr(48), 8)])], IDJ2eXGCBCDu.zeros_like(cWaXceDbkqGZ[ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + chr(48), 8), :]), parallel_iterations=ehT0Px3KOsy9('\060' + chr(6294 - 6183) + chr(2025 - 1976), 8)), [ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + chr(132 - 84), 8)])
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8/\xc7\x15G5\xf7\xd5\xa5\xbf\xc1\xe9\xa7\x14'), '\144' + '\145' + chr(99) + '\157' + chr(0b1100100) + chr(101))('\x75' + '\x74' + '\146' + chr(0b10 + 0o53) + '\070'))(WRt3kqcwisPA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9"\xd6\x03^\x04'), chr(0b101100 + 0o70) + '\145' + chr(0b1100011) + chr(0b100000 + 0o117) + '\x64' + chr(4518 - 4417))(chr(117) + chr(116) + '\x66' + chr(45) + '\070'))
|
tensorflow/tensor2tensor
|
tensor2tensor/envs/gym_spaces_utils.py
|
gym_space_spec
|
def gym_space_spec(gym_space):
"""Returns a reading spec of a gym space.
NOTE: Only implemented currently for Box and Discrete.
Args:
gym_space: instance of gym.spaces whose spec we want.
Returns:
Reading spec for that space.
Raises:
NotImplementedError: For spaces whose reading spec we haven't implemented.
"""
# First try to determine the type.
try:
tf_dtype = tf.as_dtype(gym_space.dtype)
except TypeError as e:
tf.logging.error("Cannot convert space's type [%s] to tf.dtype",
gym_space.dtype)
raise e
# Now hand it over to the specialized functions.
if isinstance(gym_space, Box):
return box_space_spec(gym_space, tf_dtype)
elif isinstance(gym_space, Discrete):
return discrete_space_spec(gym_space, tf_dtype)
else:
raise NotImplementedError
|
python
|
def gym_space_spec(gym_space):
"""Returns a reading spec of a gym space.
NOTE: Only implemented currently for Box and Discrete.
Args:
gym_space: instance of gym.spaces whose spec we want.
Returns:
Reading spec for that space.
Raises:
NotImplementedError: For spaces whose reading spec we haven't implemented.
"""
# First try to determine the type.
try:
tf_dtype = tf.as_dtype(gym_space.dtype)
except TypeError as e:
tf.logging.error("Cannot convert space's type [%s] to tf.dtype",
gym_space.dtype)
raise e
# Now hand it over to the specialized functions.
if isinstance(gym_space, Box):
return box_space_spec(gym_space, tf_dtype)
elif isinstance(gym_space, Discrete):
return discrete_space_spec(gym_space, tf_dtype)
else:
raise NotImplementedError
|
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"(",
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",",
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] |
Returns a reading spec of a gym space.
NOTE: Only implemented currently for Box and Discrete.
Args:
gym_space: instance of gym.spaces whose spec we want.
Returns:
Reading spec for that space.
Raises:
NotImplementedError: For spaces whose reading spec we haven't implemented.
|
[
"Returns",
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"reading",
"spec",
"of",
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"space",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/envs/gym_spaces_utils.py#L41-L69
|
train
|
Returns a reading spec of a gym space.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + '\x35' + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1175 - 1126) + chr(50) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\x34' + '\x37', 60279 - 60271), ehT0Px3KOsy9(chr(1990 - 1942) + chr(111) + chr(0b10110 + 0o35) + '\066' + chr(0b110101), 61077 - 61069), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\061' + '\066' + chr(0b110011), 59209 - 59201), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(5544 - 5433) + chr(0b101110 + 0o4) + chr(53) + '\065', 9697 - 9689), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(146 - 96) + chr(53) + chr(48), 58332 - 58324), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x34' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(49) + chr(48) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + '\x33' + chr(0b100101 + 0o21) + chr(0b11111 + 0o25), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + chr(50) + chr(0b110001) + '\061', 10918 - 10910), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b101 + 0o53) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1151 - 1103) + chr(0b1000111 + 0o50) + '\x33' + chr(0b110001) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101000 + 0o7) + '\x33' + chr(0b110001) + chr(827 - 777), 31863 - 31855), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b110001) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\065' + '\064', 57635 - 57627), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(11700 - 11589) + '\x31' + chr(54) + chr(48), 0o10), ehT0Px3KOsy9(chr(1320 - 1272) + '\157' + chr(49) + chr(0b110010) + chr(49), 15540 - 15532), ehT0Px3KOsy9(chr(48) + chr(111) + '\066' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b100111 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b10101 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(391 - 342) + chr(0b100 + 0o60) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(11959 - 11848) + chr(0b100111 + 0o12) + '\x35' + chr(0b10 + 0o65), 27626 - 27618), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\064' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2757 - 2704) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(55) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(9062 - 8951) + chr(49) + '\061' + '\x37', 8), ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + chr(0b110001) + chr(0b110110) + '\065', 38072 - 38064), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110100) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x36' + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2526 - 2475) + chr(0b110010), 48885 - 48877), ehT0Px3KOsy9(chr(48) + chr(7588 - 7477) + chr(49) + '\062' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + '\x32' + chr(54) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + '\x31' + chr(171 - 122) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2491 - 2440) + chr(0b1001 + 0o54) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(2196 - 2148) + chr(0b111 + 0o150) + chr(51) + '\062' + '\x35', 57553 - 57545), ehT0Px3KOsy9(chr(1355 - 1307) + chr(12165 - 12054) + chr(0b110010) + chr(2614 - 2559) + '\067', 48677 - 48669), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + chr(0b11000 + 0o33) + '\064' + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(9693 - 9582) + chr(0b110001) + chr(0b110010) + '\063', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(1765 - 1712) + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x01'), chr(3907 - 3807) + chr(8310 - 8209) + chr(99) + chr(0b10000 + 0o137) + '\144' + '\x65')(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def icHmqAG9H3C0(VlwWwKZDeqK4):
try:
sFFyrv2D0ZkR = IDJ2eXGCBCDu.as_dtype(VlwWwKZDeqK4.jSV9IKnemH7K)
except sznFqDbNBHlx as GlnVAPeT6CUe:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'j\x00\x83\xa5\x12\xd9\xe7us\x83\xf1\xf7'), '\144' + chr(0b1100101) + chr(99) + chr(111) + chr(0b101101 + 0o67) + chr(0b0 + 0o145))(chr(117) + chr(0b1101001 + 0o13) + '\146' + chr(0b10100 + 0o31) + chr(0b11011 + 0o35)))(xafqLlk3kkUe(SXOLrMavuUCe(b'l4\x89\x9b\x1c\xd9\x88E-\x9a\xff\xa2\xba\xbeor\\\x112Q;f@\x1b\x9dX\x1ao.\x02\x07Gt\xc5"\xcd\xa1\xd9\xcb7[,\x97\x90'), chr(100) + chr(0b1100101) + chr(0b1000000 + 0o43) + chr(0b1101111) + '\x64' + '\145')(chr(5221 - 5104) + '\164' + '\x66' + chr(0b101101) + chr(0b111000)), xafqLlk3kkUe(VlwWwKZDeqK4, xafqLlk3kkUe(SXOLrMavuUCe(b'E\x06\xb1\xcc:\xe6\xc6C/\xbc\xbe\x8c'), '\x64' + chr(1254 - 1153) + '\143' + '\x6f' + chr(0b1100100) + chr(3356 - 3255))('\165' + '\x74' + '\146' + '\x2d' + '\070')))
raise GlnVAPeT6CUe
if PlSM16l2KDPD(VlwWwKZDeqK4, jxoG1yIsLqiQ):
return DepURbhDzdR6(VlwWwKZDeqK4, sFFyrv2D0ZkR)
elif PlSM16l2KDPD(VlwWwKZDeqK4, u_3vpOz2nRr4):
return SDtuytvhLbUl(VlwWwKZDeqK4, sFFyrv2D0ZkR)
else:
raise _zJ24Vce7wp0
|
tensorflow/tensor2tensor
|
tensor2tensor/envs/gym_spaces_utils.py
|
cardinality
|
def cardinality(gym_space):
"""Number of elements that can be represented by the space.
Makes the most sense for Discrete or Box type with integral dtype, ex: number
of actions in an action space.
Args:
gym_space: The gym space.
Returns:
np.int64 number of observations that can be represented by this space, or
returns None when this doesn't make sense, i.e. float boxes etc.
Raises:
NotImplementedError when a space's cardinality makes sense but we haven't
implemented it.
"""
if (gym_space.dtype == np.float32) or (gym_space.dtype == np.float64):
tf.logging.error("Returning None for a float gym space's cardinality: ",
gym_space)
return None
if isinstance(gym_space, Discrete):
return gym_space.n
if isinstance(gym_space, Box):
# Construct a box with all possible values in this box and take a product.
return np.prod(gym_space.high - gym_space.low + 1)
raise NotImplementedError
|
python
|
def cardinality(gym_space):
"""Number of elements that can be represented by the space.
Makes the most sense for Discrete or Box type with integral dtype, ex: number
of actions in an action space.
Args:
gym_space: The gym space.
Returns:
np.int64 number of observations that can be represented by this space, or
returns None when this doesn't make sense, i.e. float boxes etc.
Raises:
NotImplementedError when a space's cardinality makes sense but we haven't
implemented it.
"""
if (gym_space.dtype == np.float32) or (gym_space.dtype == np.float64):
tf.logging.error("Returning None for a float gym space's cardinality: ",
gym_space)
return None
if isinstance(gym_space, Discrete):
return gym_space.n
if isinstance(gym_space, Box):
# Construct a box with all possible values in this box and take a product.
return np.prod(gym_space.high - gym_space.low + 1)
raise NotImplementedError
|
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] |
Number of elements that can be represented by the space.
Makes the most sense for Discrete or Box type with integral dtype, ex: number
of actions in an action space.
Args:
gym_space: The gym space.
Returns:
np.int64 number of observations that can be represented by this space, or
returns None when this doesn't make sense, i.e. float boxes etc.
Raises:
NotImplementedError when a space's cardinality makes sense but we haven't
implemented it.
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/envs/gym_spaces_utils.py#L83-L113
|
train
|
Returns the number of elements that can be represented by the gym space.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1499 - 1451) + chr(0b1000 + 0o147) + chr(0b1110 + 0o44) + chr(0b110110) + chr(0b100001 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(1748 - 1700) + chr(111) + chr(0b110010) + chr(0b10110 + 0o34) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(11682 - 11571) + chr(0b110010) + chr(0b11111 + 0o23) + '\066', 50686 - 50678), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(0b110010) + '\060' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + chr(0b1110 + 0o43) + '\x36' + chr(547 - 492), 30742 - 30734), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\060' + '\x30', 45046 - 45038), ehT0Px3KOsy9(chr(790 - 742) + chr(0b1101111) + chr(52) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3934 - 3823) + '\x32' + chr(52) + chr(0b110011), 39067 - 39059), ehT0Px3KOsy9('\060' + '\x6f' + chr(2282 - 2231) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b101110 + 0o6) + chr(0b110010), 46712 - 46704), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(2253 - 2203) + chr(0b100 + 0o60), 8), ehT0Px3KOsy9(chr(638 - 590) + '\x6f' + '\061' + '\x30' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\067' + chr(49), 0b1000), ehT0Px3KOsy9(chr(2110 - 2062) + '\x6f' + chr(0b100011 + 0o20) + '\060' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2607 - 2496) + chr(2265 - 2214) + chr(48) + '\063', 23736 - 23728), ehT0Px3KOsy9(chr(2103 - 2055) + chr(111) + chr(0b11000 + 0o31) + chr(55) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(767 - 714) + chr(0b11011 + 0o31), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + '\062' + chr(326 - 276) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\x34' + '\064', 18790 - 18782), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\065', 28434 - 28426), ehT0Px3KOsy9('\x30' + chr(193 - 82) + chr(0b110001) + chr(311 - 261) + chr(1838 - 1783), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(1113 - 1063) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b111011 + 0o64) + chr(0b110010) + chr(317 - 269) + '\061', 41979 - 41971), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110 + 0o56) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + chr(192 - 143) + chr(0b110000), 8450 - 8442), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1771 - 1723) + '\157' + chr(0b110011) + chr(0b110001 + 0o6) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(466 - 418) + '\157' + chr(0b110010) + '\062' + chr(0b10011 + 0o36), 58748 - 58740), ehT0Px3KOsy9(chr(48) + chr(0b1101100 + 0o3) + '\061' + chr(50) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\061' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + '\x33' + chr(0b110011) + chr(0b110 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10001 + 0o41) + chr(2309 - 2254) + '\x32', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(2250 - 2202) + chr(0b11001 + 0o27), 8), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b111 + 0o52) + '\x36' + chr(1730 - 1678), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1976 - 1926) + '\062' + chr(0b11110 + 0o31), 0b1000), ehT0Px3KOsy9(chr(1601 - 1553) + chr(111) + '\x32' + chr(0b110101) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\062' + chr(49) + chr(51), 16627 - 16619), ehT0Px3KOsy9('\060' + chr(295 - 184) + chr(0b1010 + 0o51) + '\x32' + chr(1926 - 1875), 7185 - 7177), ehT0Px3KOsy9('\060' + chr(111) + chr(288 - 237) + chr(0b110111) + chr(53), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(1013 - 960) + chr(0b1101 + 0o43), 30206 - 30198)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c'), chr(0b1100100) + '\x65' + chr(99) + chr(3264 - 3153) + '\x64' + '\x65')('\165' + chr(4693 - 4577) + chr(7864 - 7762) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zYh25q4m2u6q(VlwWwKZDeqK4):
if xafqLlk3kkUe(VlwWwKZDeqK4, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xc7\xc0\xb9>\x8bM\xc6t*\xa3\x0f'), chr(0b1010100 + 0o20) + chr(0b101111 + 0o66) + '\143' + chr(0b101100 + 0o103) + chr(0b100110 + 0o76) + '\x65')(chr(117) + chr(3123 - 3007) + chr(102) + chr(45) + chr(56))) == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xf8\xf9\xe1\x03\xf3\x11'), chr(100) + '\x65' + chr(99) + chr(111) + chr(9389 - 9289) + '\145')(chr(0b1110101) + chr(116) + '\x66' + chr(45) + '\x38')) or xafqLlk3kkUe(VlwWwKZDeqK4, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xc7\xc0\xb9>\x8bM\xc6t*\xa3\x0f'), chr(1713 - 1613) + chr(0b1100101) + '\143' + chr(111) + '\144' + '\x65')(chr(0b1011 + 0o152) + chr(116) + chr(102) + chr(0b10110 + 0o27) + chr(56))) == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xf8\xf9\xe1\x03\xf6\x17'), chr(4534 - 4434) + '\145' + chr(0b1100011) + chr(4829 - 4718) + chr(8374 - 8274) + '\x65')(chr(117) + chr(12913 - 12797) + '\146' + chr(0b101101) + '\x38')):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\xc1\xf2\xd0\x16\xb4l\xf0(\x15\xect'), '\144' + '\145' + chr(5460 - 5361) + chr(7979 - 7868) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(13169 - 13053) + '\x66' + chr(0b101101) + chr(0b100111 + 0o21)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xf1\xe2\xf5\x05\xaeJ\xcd~B\xda+\x17\xa0\xe3\x1b\xc3\xe7D|w5\xedIi_\xdf\xf6/%\xfd\xc9\xb0\x15\xf4\xca&\xf8\xf3\x9e\xd3\xe6\xf2\xe9\x19\xa1O\xcam\x1b\xaed'), '\x64' + chr(0b1100101) + '\x63' + chr(111) + '\144' + chr(101))(chr(4371 - 4254) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b111000)), VlwWwKZDeqK4)
return None
if PlSM16l2KDPD(VlwWwKZDeqK4, u_3vpOz2nRr4):
return xafqLlk3kkUe(VlwWwKZDeqK4, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\xa5\xd8\xeb4\xb2Z\xecn[\xd6<'), chr(270 - 170) + chr(0b1001011 + 0o32) + '\143' + chr(111) + chr(4824 - 4724) + '\145')('\x75' + chr(0b1110100) + '\146' + chr(45) + chr(0b1 + 0o67)))
if PlSM16l2KDPD(VlwWwKZDeqK4, jxoG1yIsLqiQ):
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xd6\xcf\xeb@\xf9O\x97W\t\xac,'), chr(100) + chr(101) + chr(99) + '\x6f' + '\x64' + chr(101))(chr(117) + chr(0b110101 + 0o77) + chr(0b1100110) + chr(0b101 + 0o50) + '\070'))(xafqLlk3kkUe(VlwWwKZDeqK4, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xfd\xf1\xe8'), '\x64' + chr(0b1100101) + chr(0b111011 + 0o50) + chr(111) + chr(100) + chr(0b1000001 + 0o44))(chr(0b1110101) + chr(116) + '\146' + chr(810 - 765) + '\x38')) - xafqLlk3kkUe(VlwWwKZDeqK4, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xfb\xe1'), '\144' + '\x65' + chr(0b1100011) + chr(0b1101111) + '\144' + chr(5339 - 5238))(chr(11538 - 11421) + '\x74' + '\146' + chr(1704 - 1659) + chr(56))) + ehT0Px3KOsy9(chr(48) + chr(111) + chr(49), 8))
raise _zJ24Vce7wp0
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
image_rmse
|
def image_rmse(predictions, labels, weights_fn=common_layers.weights_all):
"""RMSE but will argmax if last dim is not 1."""
if common_layers.shape_list(predictions)[-1] == 1:
predictions = tf.squeeze(predictions, axis=[-1])
else:
predictions = tf.argmax(predictions, axis=-1)
return padded_rmse(predictions, labels, weights_fn)
|
python
|
def image_rmse(predictions, labels, weights_fn=common_layers.weights_all):
"""RMSE but will argmax if last dim is not 1."""
if common_layers.shape_list(predictions)[-1] == 1:
predictions = tf.squeeze(predictions, axis=[-1])
else:
predictions = tf.argmax(predictions, axis=-1)
return padded_rmse(predictions, labels, weights_fn)
|
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] |
RMSE but will argmax if last dim is not 1.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L69-L75
|
train
|
RMSE.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(979 - 931) + chr(0b101100 + 0o103) + '\063' + chr(0b110111) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(548 - 500) + chr(3093 - 2982) + chr(0b1001 + 0o51) + chr(51) + chr(1039 - 989), 4559 - 4551), ehT0Px3KOsy9(chr(662 - 614) + chr(0b1101111) + chr(2158 - 2108) + chr(0b110000) + '\063', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(52), 58472 - 58464), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(2333 - 2284) + chr(0b101000 + 0o10) + chr(51), 37045 - 37037), ehT0Px3KOsy9(chr(2067 - 2019) + chr(0b111100 + 0o63) + chr(0b110010) + '\063' + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(0b10101 + 0o132) + chr(2450 - 2399) + chr(0b1001 + 0o51) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + '\062' + chr(53) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1885 - 1837) + chr(0b1101111) + chr(537 - 487) + chr(1044 - 990) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10111 + 0o33) + chr(0b110110) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b1111 + 0o46), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110010) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(48) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b10001 + 0o44) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2015 - 1904) + chr(0b110001) + '\x33' + chr(909 - 860), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(50) + chr(0b100000 + 0o26) + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(3051 - 2940) + chr(1335 - 1285) + chr(1837 - 1788) + chr(0b110111), 46080 - 46072), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2039 - 1990) + '\067' + chr(236 - 182), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + chr(0b1001 + 0o50) + chr(795 - 744) + '\x31', 8), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(0b101010 + 0o7) + chr(0b110000) + chr(0b101111 + 0o4), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(49) + chr(0b1111 + 0o45), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(11181 - 11070) + chr(0b101001 + 0o12) + chr(0b10 + 0o56) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100) + chr(0b110011), 7817 - 7809), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\x33' + chr(0b11110 + 0o31), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b100000 + 0o117) + '\x31' + chr(52) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1000 + 0o53) + '\x37', 0b1000), ehT0Px3KOsy9(chr(92 - 44) + '\157' + '\063' + chr(2230 - 2178) + chr(1995 - 1944), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10011 + 0o37) + '\067', 46424 - 46416), ehT0Px3KOsy9('\x30' + chr(4608 - 4497) + '\x31' + chr(0b110010) + chr(54), 33632 - 33624), ehT0Px3KOsy9(chr(2040 - 1992) + '\x6f' + '\061' + chr(48) + '\x31', 14841 - 14833), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + '\x31' + '\067' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(53) + '\063', 63493 - 63485), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(2405 - 2354) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11101 + 0o26) + '\060' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b101 + 0o55) + chr(50) + chr(688 - 636), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\x34' + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + '\x33' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + '\063' + chr(0b110000) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1512 - 1461) + chr(614 - 562) + chr(2397 - 2342), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\065' + chr(0b11110 + 0o22), 25717 - 25709)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0'), chr(7333 - 7233) + '\x65' + chr(7922 - 7823) + '\157' + chr(0b1100100) + chr(8583 - 8482))(chr(0b1101111 + 0o6) + chr(9063 - 8947) + chr(102) + chr(45) + chr(1720 - 1664)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def EpOmJYdUG0CE(qIQi_VFCIFZL, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xff\xeak+\xeb\xa5\xf2\xd7\xdea'), chr(3141 - 3041) + '\x65' + chr(99) + chr(5660 - 5549) + chr(5234 - 5134) + chr(0b1100101))(chr(0b101000 + 0o115) + chr(8070 - 7954) + '\146' + chr(45) + chr(778 - 722)))):
if xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\xf2\xe2|&\xc0\xba\xc4\xc5\xc6'), '\x64' + '\145' + '\x63' + '\157' + '\x64' + chr(9537 - 9436))(chr(0b1000101 + 0o60) + '\x74' + chr(0b110011 + 0o63) + chr(0b101101) + '\070'))(qIQi_VFCIFZL)[-ehT0Px3KOsy9(chr(0b110000) + chr(8016 - 7905) + chr(2364 - 2315), 32441 - 32433)] == ehT0Px3KOsy9(chr(2116 - 2068) + chr(0b1101111) + chr(1421 - 1372), 8):
qIQi_VFCIFZL = IDJ2eXGCBCDu.squeeze(qIQi_VFCIFZL, axis=[-ehT0Px3KOsy9('\060' + chr(9188 - 9077) + chr(113 - 64), 8)])
else:
qIQi_VFCIFZL = IDJ2eXGCBCDu.argmax(qIQi_VFCIFZL, axis=-ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), 8))
return WYigkfVSj53c(qIQi_VFCIFZL, uXMK81tmdpTM, Pdbc6Q2jZ4RQ)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
abs_error
|
def abs_error(predictions, labels, weights_fn=None):
"""Computes mean(abs(preds-target))."""
del weights_fn # Unused
targets = tf.squeeze(labels, axis=[2, 3])
batch_abs_error = tf.abs(predictions - targets)
den = tf.ones(tf.shape(batch_abs_error), dtype=tf.float32)
return (batch_abs_error, den)
|
python
|
def abs_error(predictions, labels, weights_fn=None):
"""Computes mean(abs(preds-target))."""
del weights_fn # Unused
targets = tf.squeeze(labels, axis=[2, 3])
batch_abs_error = tf.abs(predictions - targets)
den = tf.ones(tf.shape(batch_abs_error), dtype=tf.float32)
return (batch_abs_error, den)
|
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] |
Computes mean(abs(preds-target)).
|
[
"Computes",
"mean",
"(",
"abs",
"(",
"preds",
"-",
"target",
"))",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L88-L94
|
train
|
Computes mean absolute error.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(567 - 519) + chr(111) + chr(2107 - 2057) + chr(0b100111 + 0o13) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101 + 0o142) + chr(0b110011) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11100 + 0o25) + '\066' + chr(2230 - 2177), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1777 - 1727) + chr(51) + chr(0b1101 + 0o46), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(54) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\062' + chr(0b110010), 53602 - 53594), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b0 + 0o157) + chr(1811 - 1762), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(52) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b110110) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(288 - 240) + chr(0b10110 + 0o131) + '\x33' + chr(0b110001) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + '\064' + '\x32', 14853 - 14845), ehT0Px3KOsy9(chr(314 - 266) + chr(0b101111 + 0o100) + chr(0b110001) + chr(2142 - 2094) + '\x33', 56316 - 56308), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(1279 - 1229) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11100 + 0o25) + chr(53) + chr(0b111 + 0o56), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(53) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(764 - 714) + chr(1803 - 1752) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\x33' + '\x33', 8), ehT0Px3KOsy9(chr(594 - 546) + chr(111) + '\063' + '\x34' + chr(50), 54862 - 54854), ehT0Px3KOsy9('\060' + chr(2343 - 2232) + chr(0b110110) + '\062', 0b1000), ehT0Px3KOsy9(chr(879 - 831) + chr(0b1000111 + 0o50) + '\063' + chr(689 - 635) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(931 - 820) + chr(49) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1138 - 1087) + chr(0b101110 + 0o4) + chr(0b110000 + 0o2), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b110 + 0o57) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(274 - 225) + chr(0b101001 + 0o13) + '\x37', 46223 - 46215), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(54) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + '\x32' + chr(0b10010 + 0o43) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x33' + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11000 + 0o32) + '\x30' + '\061', 49216 - 49208), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b111110 + 0o61) + chr(50) + chr(0b11011 + 0o27) + chr(50), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100101 + 0o15) + '\065' + '\063', 26185 - 26177), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(0b101100 + 0o5) + chr(50) + chr(2294 - 2243), 42221 - 42213), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(438 - 389) + chr(0b110111) + chr(0b100000 + 0o27), 0o10), ehT0Px3KOsy9(chr(48) + chr(11812 - 11701) + chr(100 - 50) + '\x30' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(991 - 942) + '\066', 12397 - 12389), ehT0Px3KOsy9(chr(328 - 280) + chr(0b1101111) + chr(0b1111 + 0o44) + '\065', 22871 - 22863), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + '\061', 7284 - 7276), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + '\x33' + '\061' + '\065', 57426 - 57418), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1502 - 1453) + chr(55) + chr(2847 - 2792), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101100 + 0o7) + chr(49) + '\x33', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(330 - 282) + '\x6f' + chr(0b11100 + 0o31) + chr(0b11100 + 0o24), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd'), chr(0b111001 + 0o53) + '\145' + chr(0b1001100 + 0o27) + chr(11014 - 10903) + chr(0b1010010 + 0o22) + '\145')(chr(4117 - 4000) + '\x74' + chr(0b1100110) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _n6Nx33KpwfZ(qIQi_VFCIFZL, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=None):
del Pdbc6Q2jZ4RQ
xIEmRseySp3z = IDJ2eXGCBCDu.squeeze(uXMK81tmdpTM, axis=[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010), 62359 - 62351), ehT0Px3KOsy9(chr(934 - 886) + chr(111) + chr(1329 - 1278), 0b1000)])
tP2rSXuRg_2M = IDJ2eXGCBCDu.abs(qIQi_VFCIFZL - xIEmRseySp3z)
fcUz5Oj87IEH = IDJ2eXGCBCDu.ones(IDJ2eXGCBCDu.nauYfLglTpcb(tP2rSXuRg_2M), dtype=IDJ2eXGCBCDu.float32)
return (tP2rSXuRg_2M, fcUz5Oj87IEH)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
padded_variance_explained
|
def padded_variance_explained(predictions,
labels,
weights_fn=common_layers.weights_all):
"""Explained variance, also known as R^2."""
predictions, labels = common_layers.pad_with_zeros(predictions, labels)
targets = labels
weights = weights_fn(targets)
y_bar = tf.reduce_mean(weights * targets)
tot_ss = tf.reduce_sum(weights * tf.pow(targets - y_bar, 2))
res_ss = tf.reduce_sum(weights * tf.pow(targets - predictions, 2))
r2 = 1. - res_ss / tot_ss
return r2, tf.reduce_sum(weights)
|
python
|
def padded_variance_explained(predictions,
labels,
weights_fn=common_layers.weights_all):
"""Explained variance, also known as R^2."""
predictions, labels = common_layers.pad_with_zeros(predictions, labels)
targets = labels
weights = weights_fn(targets)
y_bar = tf.reduce_mean(weights * targets)
tot_ss = tf.reduce_sum(weights * tf.pow(targets - y_bar, 2))
res_ss = tf.reduce_sum(weights * tf.pow(targets - predictions, 2))
r2 = 1. - res_ss / tot_ss
return r2, tf.reduce_sum(weights)
|
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] |
Explained variance, also known as R^2.
|
[
"Explained",
"variance",
"also",
"known",
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"R^2",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L109-L121
|
train
|
Explained variance also known as R^2.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(85 - 34) + chr(0b10111 + 0o32) + chr(306 - 253), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(460 - 409) + chr(0b100101 + 0o16) + chr(1764 - 1712), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101111 + 0o2) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(355 - 307) + chr(545 - 434) + chr(0b101010 + 0o11) + chr(1325 - 1271), 0b1000), ehT0Px3KOsy9(chr(1727 - 1679) + '\157' + '\061' + chr(0b11011 + 0o33) + chr(0b100010 + 0o25), 21005 - 20997), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100110 + 0o15) + '\x31' + chr(0b110110), 31562 - 31554), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b100001 + 0o25) + '\x34', 2188 - 2180), ehT0Px3KOsy9('\x30' + chr(1031 - 920) + chr(2377 - 2322) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100010 + 0o15) + chr(53) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(353 - 305) + chr(0b1101111) + chr(0b101 + 0o56) + chr(997 - 943) + chr(0b10001 + 0o46), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100 + 0o56) + chr(55) + '\061', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(655 - 605) + '\x31' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7902 - 7791) + chr(0b110011) + '\x31' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110100) + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(50) + chr(53), 0b1000), ehT0Px3KOsy9(chr(930 - 882) + chr(0b1101111) + chr(0b100101 + 0o15) + chr(0b110010) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1919 - 1871) + '\x6f' + '\061' + chr(0b1000 + 0o52) + chr(0b110101), 2570 - 2562), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010 + 0o1) + chr(722 - 674) + chr(0b10 + 0o60), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b101000 + 0o15) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + '\x37' + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b1100 + 0o47) + chr(0b11011 + 0o30), 28101 - 28093), ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + '\067', 42588 - 42580), ehT0Px3KOsy9('\x30' + chr(0b1101 + 0o142) + chr(0b110001) + chr(0b101011 + 0o7) + chr(1986 - 1938), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7965 - 7854) + chr(108 - 59) + chr(0b110010) + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x37' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(2029 - 1977) + chr(0b100011 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(424 - 371) + chr(0b100101 + 0o15), 0b1000), ehT0Px3KOsy9('\x30' + chr(11450 - 11339) + chr(386 - 335) + chr(0b100 + 0o56) + chr(984 - 935), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + '\x32' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + '\x32' + '\067' + chr(0b101110 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101111 + 0o3) + chr(2326 - 2273) + chr(53), 14168 - 14160), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(0b110101) + chr(1883 - 1833), 9375 - 9367), ehT0Px3KOsy9('\x30' + chr(6261 - 6150) + chr(51) + chr(0b101 + 0o62) + chr(1120 - 1072), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(2720 - 2667) + chr(0b11111 + 0o23), 8), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\064' + chr(53), 37179 - 37171), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(2647 - 2592) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010110 + 0o31) + chr(0b110011) + chr(50) + '\x33', 0b1000), ehT0Px3KOsy9(chr(2154 - 2106) + '\x6f' + chr(50) + '\062' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(52) + chr(2468 - 2415), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101011 + 0o7) + chr(0b101001 + 0o7) + chr(1560 - 1511), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(5375 - 5264) + chr(0b10000 + 0o45) + chr(0b101110 + 0o2), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3'), '\144' + chr(0b1000010 + 0o43) + '\143' + '\157' + chr(0b1001100 + 0o30) + chr(0b10100 + 0o121))('\165' + chr(116) + chr(4544 - 4442) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NcprHAGl0eig(qIQi_VFCIFZL, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\xb9by\x1f\xba\xc7gL\x9b\xd5'), chr(0b1100100) + '\145' + chr(99) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(12045 - 11928) + chr(3649 - 3533) + '\x66' + chr(1795 - 1750) + chr(0b10111 + 0o41)))):
(qIQi_VFCIFZL, uXMK81tmdpTM) = jSKPaHwSAfVv.pad_with_zeros(qIQi_VFCIFZL, uXMK81tmdpTM)
xIEmRseySp3z = uXMK81tmdpTM
ZurHTci57aXw = Pdbc6Q2jZ4RQ(xIEmRseySp3z)
Pxb85tehi7YA = IDJ2eXGCBCDu.reduce_mean(ZurHTci57aXw * xIEmRseySp3z)
VRiIT6ULKOz8 = IDJ2eXGCBCDu.reduce_sum(ZurHTci57aXw * IDJ2eXGCBCDu.pow(xIEmRseySp3z - Pxb85tehi7YA, ehT0Px3KOsy9(chr(48) + '\157' + chr(50), ord("\x08"))))
N3jpo6Wyum_u = IDJ2eXGCBCDu.reduce_sum(ZurHTci57aXw * IDJ2eXGCBCDu.pow(xIEmRseySp3z - qIQi_VFCIFZL, ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + '\062', 8)))
V0xbD6M0wW6I = 1.0 - N3jpo6Wyum_u / VRiIT6ULKOz8
return (V0xbD6M0wW6I, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\xb9ok\x14\xab\xebKX\x9a'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(6269 - 6158) + chr(7243 - 7143) + chr(0b1100101))('\x75' + '\164' + chr(0b1100110) + chr(0b1100 + 0o41) + chr(0b11001 + 0o37)))(ZurHTci57aXw))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
padded_accuracy_topk
|
def padded_accuracy_topk(predictions,
labels,
k,
weights_fn=common_layers.weights_nonzero):
"""Percentage of times that top-k predictions matches labels on non-0s."""
with tf.variable_scope("padded_accuracy_topk", values=[predictions, labels]):
padded_predictions, padded_labels = common_layers.pad_with_zeros(
predictions, labels)
weights = weights_fn(padded_labels)
effective_k = tf.minimum(k,
common_layers.shape_list(padded_predictions)[-1])
_, outputs = tf.nn.top_k(padded_predictions, k=effective_k)
outputs = tf.to_int32(outputs)
padded_labels = tf.to_int32(padded_labels)
padded_labels = tf.expand_dims(padded_labels, axis=-1)
padded_labels += tf.zeros_like(outputs) # Pad to same shape.
same = tf.to_float(tf.equal(outputs, padded_labels))
same_topk = tf.reduce_sum(same, axis=-1)
return same_topk, weights
|
python
|
def padded_accuracy_topk(predictions,
labels,
k,
weights_fn=common_layers.weights_nonzero):
"""Percentage of times that top-k predictions matches labels on non-0s."""
with tf.variable_scope("padded_accuracy_topk", values=[predictions, labels]):
padded_predictions, padded_labels = common_layers.pad_with_zeros(
predictions, labels)
weights = weights_fn(padded_labels)
effective_k = tf.minimum(k,
common_layers.shape_list(padded_predictions)[-1])
_, outputs = tf.nn.top_k(padded_predictions, k=effective_k)
outputs = tf.to_int32(outputs)
padded_labels = tf.to_int32(padded_labels)
padded_labels = tf.expand_dims(padded_labels, axis=-1)
padded_labels += tf.zeros_like(outputs) # Pad to same shape.
same = tf.to_float(tf.equal(outputs, padded_labels))
same_topk = tf.reduce_sum(same, axis=-1)
return same_topk, weights
|
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Percentage of times that top-k predictions matches labels on non-0s.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L124-L142
|
train
|
Percentage of times that top - k predictions matches labels on non - 0s.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1100011 + 0o14) + chr(0b110001) + chr(0b110011) + chr(48), 98 - 90), ehT0Px3KOsy9('\x30' + chr(0b11001 + 0o126) + chr(0b110001) + '\061' + chr(0b101011 + 0o14), 19463 - 19455), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + chr(0b11011 + 0o27) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(1548 - 1494) + chr(0b111 + 0o60), 41384 - 41376), ehT0Px3KOsy9(chr(1433 - 1385) + '\x6f' + chr(0b110001) + chr(0b11100 + 0o24) + '\067', 27885 - 27877), ehT0Px3KOsy9(chr(0b110000) + chr(8024 - 7913) + chr(0b11100 + 0o26) + chr(0b1 + 0o61) + '\x37', 40653 - 40645), ehT0Px3KOsy9('\x30' + chr(5435 - 5324) + '\x36' + '\065', 48187 - 48179), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101101 + 0o6) + chr(1201 - 1152) + chr(49), 19821 - 19813), ehT0Px3KOsy9('\060' + '\157' + chr(301 - 252) + '\067' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(2452 - 2401) + chr(0b10011 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(560 - 511) + chr(0b1000 + 0o51) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001011 + 0o44) + chr(51) + '\x31' + chr(0b100000 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b110010) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110 + 0o61) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(380 - 331) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101100 + 0o3) + chr(2150 - 2099) + '\x33' + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(747 - 692) + '\064', 3011 - 3003), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(0b110011) + chr(0b111 + 0o52) + chr(2084 - 2033), 45702 - 45694), ehT0Px3KOsy9(chr(189 - 141) + '\157' + chr(49) + '\x31' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(0b110011) + chr(0b110100) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(309 - 256) + '\060', 0b1000), ehT0Px3KOsy9(chr(651 - 603) + '\x6f' + chr(0b10100 + 0o35) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(63 - 10), 33034 - 33026), ehT0Px3KOsy9('\060' + '\157' + chr(0b111 + 0o52) + chr(0b10010 + 0o41) + chr(0b11110 + 0o30), 0b1000), ehT0Px3KOsy9('\x30' + chr(11270 - 11159) + chr(1990 - 1941) + chr(1990 - 1941) + chr(842 - 787), 8), ehT0Px3KOsy9(chr(1844 - 1796) + chr(11181 - 11070) + '\063' + chr(0b100010 + 0o23) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + '\x34' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101011 + 0o6) + chr(0b110101) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + chr(51) + '\x36' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011010 + 0o25) + chr(1398 - 1347) + chr(786 - 732) + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(0b1 + 0o62) + '\x36' + chr(1714 - 1665), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1490 - 1441) + chr(0b110000) + '\062', 54856 - 54848), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(1101 - 1048) + chr(0b110001 + 0o5), 0o10), ehT0Px3KOsy9(chr(1167 - 1119) + '\x6f' + chr(0b110011) + '\064' + chr(1648 - 1595), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b110110 + 0o71) + chr(0b110011) + '\067' + chr(55), 121 - 113), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(49) + chr(0b100011 + 0o20) + '\066', 8), ehT0Px3KOsy9(chr(2103 - 2055) + chr(111) + '\x32' + '\x30' + chr(2507 - 2452), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\061' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110010) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(677 - 629) + chr(368 - 257) + '\062' + chr(49) + chr(2999 - 2944), 891 - 883)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b10010 + 0o43) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'v'), chr(0b1000110 + 0o36) + '\x65' + chr(99) + chr(0b1101111) + chr(100) + '\x65')(chr(117) + chr(116) + chr(1595 - 1493) + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def KDgnwtpbTZwY(qIQi_VFCIFZL, uXMK81tmdpTM, OolUPRJhRaJd, Pdbc6Q2jZ4RQ=xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b"/*}\x10/\xe3F\x96\x13\xb1'\xb45N\xe4"), '\x64' + chr(101) + '\x63' + '\157' + '\x64' + '\145')('\165' + chr(116) + chr(0b110011 + 0o63) + '\x2d' + chr(0b110111 + 0o1)))):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'..f\x1e&\xf5Y\xac"\xad*\xa1 Y'), '\x64' + chr(4280 - 4179) + chr(99) + chr(0b1101111) + chr(100) + '\145')(chr(0b1110101) + '\x74' + '\146' + '\x2d' + chr(2092 - 2036)))(xafqLlk3kkUe(SXOLrMavuUCe(b'(.p\x13"\xf3j\xa8\x1e\xbd<\xbc1_\xf2\x84\x08\xa4:\x8a'), '\144' + chr(4645 - 4544) + '\x63' + chr(10131 - 10020) + chr(0b110000 + 0o64) + chr(0b101110 + 0o67))(chr(0b1110101) + chr(116) + '\146' + chr(45) + '\x38'), values=[qIQi_VFCIFZL, uXMK81tmdpTM]):
(txaMhyYLPBro, XKcWUVWYa6Fq) = jSKPaHwSAfVv.pad_with_zeros(qIQi_VFCIFZL, uXMK81tmdpTM)
ZurHTci57aXw = Pdbc6Q2jZ4RQ(XKcWUVWYa6Fq)
ItQTxZrpqS76 = IDJ2eXGCBCDu.minimum(OolUPRJhRaJd, jSKPaHwSAfVv.shape_list(txaMhyYLPBro)[-ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001), 65479 - 65471)])
(VNGQdHSFPrso, Dx_DllZ8uCko) = IDJ2eXGCBCDu.nn.top_k(txaMhyYLPBro, k=ItQTxZrpqS76)
Dx_DllZ8uCko = IDJ2eXGCBCDu.to_int32(Dx_DllZ8uCko)
XKcWUVWYa6Fq = IDJ2eXGCBCDu.to_int32(XKcWUVWYa6Fq)
XKcWUVWYa6Fq = IDJ2eXGCBCDu.expand_dims(XKcWUVWYa6Fq, axis=-ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + '\x31', 8))
XKcWUVWYa6Fq += IDJ2eXGCBCDu.zeros_like(Dx_DllZ8uCko)
UUoRswg4OYYo = IDJ2eXGCBCDu.ZUL3kHBGU8Uu(IDJ2eXGCBCDu.equal(Dx_DllZ8uCko, XKcWUVWYa6Fq))
UNHRKwptGcsG = IDJ2eXGCBCDu.reduce_sum(UUoRswg4OYYo, axis=-ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + chr(0b110001), 8))
return (UNHRKwptGcsG, ZurHTci57aXw)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
rounding_sequence_accuracy
|
def rounding_sequence_accuracy(predictions,
labels,
weights_fn=common_layers.weights_nonzero):
"""Sequence accuracy for L1/L2 losses: round down the predictions to ints."""
outputs = tf.squeeze(tf.to_int32(predictions), axis=-1)
weights = weights_fn(labels)
labels = tf.to_int32(labels)
not_correct = tf.to_float(tf.not_equal(outputs, labels)) * weights
axis = list(range(1, len(outputs.get_shape())))
correct_seq = 1.0 - tf.minimum(1.0, tf.reduce_sum(not_correct, axis=axis))
return correct_seq, tf.constant(1.0)
|
python
|
def rounding_sequence_accuracy(predictions,
labels,
weights_fn=common_layers.weights_nonzero):
"""Sequence accuracy for L1/L2 losses: round down the predictions to ints."""
outputs = tf.squeeze(tf.to_int32(predictions), axis=-1)
weights = weights_fn(labels)
labels = tf.to_int32(labels)
not_correct = tf.to_float(tf.not_equal(outputs, labels)) * weights
axis = list(range(1, len(outputs.get_shape())))
correct_seq = 1.0 - tf.minimum(1.0, tf.reduce_sum(not_correct, axis=axis))
return correct_seq, tf.constant(1.0)
|
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Sequence accuracy for L1/L2 losses: round down the predictions to ints.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L151-L161
|
train
|
Sequence accuracy for L1 and L2 losses.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\x33' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10111 + 0o130) + chr(49) + chr(0b100000 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\x35' + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(976 - 865) + '\063' + chr(55) + chr(0b10011 + 0o42), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + '\x32' + chr(509 - 458) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(357 - 308) + chr(122 - 67) + chr(204 - 151), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + '\x31' + chr(0b11001 + 0o36) + '\061', 0b1000), ehT0Px3KOsy9(chr(1133 - 1085) + '\157' + chr(0b110011) + chr(0b110100) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010011 + 0o34) + '\x32' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(2213 - 2164) + chr(0b100101 + 0o14) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(543 - 495), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(909 - 860) + chr(189 - 137), 8363 - 8355), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b100101 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(2133 - 2085) + chr(0b101100 + 0o103) + chr(54) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(1548 - 1494) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100010 + 0o17) + '\x32' + chr(1937 - 1883), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(507 - 456) + '\062', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\x33' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(0b10100 + 0o35) + '\x30' + chr(0b1000 + 0o51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + chr(1742 - 1692) + chr(342 - 294) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(79 - 31) + '\157' + chr(50) + chr(0b110111) + chr(723 - 673), 0b1000), ehT0Px3KOsy9(chr(1008 - 960) + chr(0b1001 + 0o146) + '\061' + '\062' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b100010 + 0o17) + chr(0b110101), 964 - 956), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + '\061' + chr(54) + '\x30', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\066' + chr(508 - 459), 57722 - 57714), ehT0Px3KOsy9(chr(48) + chr(12299 - 12188) + '\067' + '\x36', 0o10), ehT0Px3KOsy9(chr(2127 - 2079) + chr(0b1101111) + chr(0b110001) + chr(0b1011 + 0o47) + chr(338 - 290), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(1198 - 1147) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(611 - 563) + '\x6f' + chr(50) + chr(52) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + chr(0b10000 + 0o44) + chr(0b100001 + 0o20), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\065' + '\x30', 36285 - 36277), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(50) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + '\064' + chr(0b10100 + 0o35), 8), ehT0Px3KOsy9(chr(707 - 659) + chr(0b100011 + 0o114) + chr(51) + chr(0b110100) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\060' + '\065', 42136 - 42128), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\061' + '\062', 22086 - 22078), ehT0Px3KOsy9(chr(260 - 212) + chr(10046 - 9935) + chr(1886 - 1837) + chr(2111 - 2063), 8), ehT0Px3KOsy9(chr(1875 - 1827) + '\x6f' + chr(50) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100011 + 0o16) + '\x33' + chr(0b11111 + 0o25), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1614 - 1566) + '\157' + chr(53) + chr(0b100010 + 0o16), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'u'), '\x64' + '\x65' + chr(0b1100011) + chr(11257 - 11146) + chr(8139 - 8039) + chr(101))(chr(117) + '\164' + chr(102) + chr(0b10110 + 0o27) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def KcXXHbPz2Iq0(qIQi_VFCIFZL, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b",j\x06\x9a\xf4\t\n\xbdmx'ri{Y"), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1010011 + 0o34) + '\x64' + '\145')(chr(117) + chr(0b1011001 + 0o33) + chr(2249 - 2147) + chr(0b101101) + chr(2725 - 2669)))):
Dx_DllZ8uCko = IDJ2eXGCBCDu.squeeze(IDJ2eXGCBCDu.to_int32(qIQi_VFCIFZL), axis=-ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(911 - 862), ord("\x08")))
ZurHTci57aXw = Pdbc6Q2jZ4RQ(uXMK81tmdpTM)
uXMK81tmdpTM = IDJ2eXGCBCDu.to_int32(uXMK81tmdpTM)
INHwv8RJBSj0 = IDJ2eXGCBCDu.ZUL3kHBGU8Uu(IDJ2eXGCBCDu.not_equal(Dx_DllZ8uCko, uXMK81tmdpTM)) * ZurHTci57aXw
cRTh61qyvi24 = YyaZ4tpXu4lf(vQr8gNKaIaWE(ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(0b101111 + 0o2), 8), c2A0yzQpDQB3(Dx_DllZ8uCko.get_shape())))
NNBYcSRt0qtF = 1.0 - IDJ2eXGCBCDu.minimum(1.0, IDJ2eXGCBCDu.reduce_sum(INHwv8RJBSj0, axis=cRTh61qyvi24))
return (NNBYcSRt0qtF, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'8`\x01\x8e\xe8\x1c\x17\x96'), chr(100) + chr(4589 - 4488) + chr(0b110010 + 0o61) + chr(0b1101111) + chr(0b1010111 + 0o15) + chr(8661 - 8560))(chr(0b1110101) + chr(116) + chr(102) + '\x2d' + chr(1701 - 1645)))(1.0))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
padded_sequence_accuracy
|
def padded_sequence_accuracy(predictions,
labels,
weights_fn=common_layers.weights_nonzero):
"""Percentage of times that predictions matches labels everywhere (non-0)."""
# If the last dimension is 1 then we're using L1/L2 loss.
if common_layers.shape_list(predictions)[-1] == 1:
return rounding_sequence_accuracy(
predictions, labels, weights_fn=weights_fn)
with tf.variable_scope(
"padded_sequence_accuracy", values=[predictions, labels]):
padded_predictions, padded_labels = common_layers.pad_with_zeros(
predictions, labels)
weights = weights_fn(padded_labels)
# Flatten, keeping batch dim (and num_classes dim for predictions)
# TPU argmax can only deal with a limited number of dimensions
predictions_shape = common_layers.shape_list(padded_predictions)
batch_size = predictions_shape[0]
num_classes = predictions_shape[-1]
flat_size = common_layers.list_product(
common_layers.shape_list(padded_labels)[1:])
padded_predictions = tf.reshape(
padded_predictions,
[batch_size, common_layers.list_product(predictions_shape[1:-1]),
num_classes])
padded_labels = tf.reshape(padded_labels, [batch_size, flat_size])
weights = tf.reshape(weights, [batch_size, flat_size])
outputs = tf.to_int32(tf.argmax(padded_predictions, axis=-1))
padded_labels = tf.to_int32(padded_labels)
not_correct = tf.to_float(tf.not_equal(outputs, padded_labels)) * weights
axis = list(range(1, len(outputs.get_shape())))
correct_seq = 1.0 - tf.minimum(1.0, tf.reduce_sum(not_correct, axis=axis))
return correct_seq, tf.constant(1.0)
|
python
|
def padded_sequence_accuracy(predictions,
labels,
weights_fn=common_layers.weights_nonzero):
"""Percentage of times that predictions matches labels everywhere (non-0)."""
# If the last dimension is 1 then we're using L1/L2 loss.
if common_layers.shape_list(predictions)[-1] == 1:
return rounding_sequence_accuracy(
predictions, labels, weights_fn=weights_fn)
with tf.variable_scope(
"padded_sequence_accuracy", values=[predictions, labels]):
padded_predictions, padded_labels = common_layers.pad_with_zeros(
predictions, labels)
weights = weights_fn(padded_labels)
# Flatten, keeping batch dim (and num_classes dim for predictions)
# TPU argmax can only deal with a limited number of dimensions
predictions_shape = common_layers.shape_list(padded_predictions)
batch_size = predictions_shape[0]
num_classes = predictions_shape[-1]
flat_size = common_layers.list_product(
common_layers.shape_list(padded_labels)[1:])
padded_predictions = tf.reshape(
padded_predictions,
[batch_size, common_layers.list_product(predictions_shape[1:-1]),
num_classes])
padded_labels = tf.reshape(padded_labels, [batch_size, flat_size])
weights = tf.reshape(weights, [batch_size, flat_size])
outputs = tf.to_int32(tf.argmax(padded_predictions, axis=-1))
padded_labels = tf.to_int32(padded_labels)
not_correct = tf.to_float(tf.not_equal(outputs, padded_labels)) * weights
axis = list(range(1, len(outputs.get_shape())))
correct_seq = 1.0 - tf.minimum(1.0, tf.reduce_sum(not_correct, axis=axis))
return correct_seq, tf.constant(1.0)
|
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] |
Percentage of times that predictions matches labels everywhere (non-0).
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L164-L197
|
train
|
Percentage of times that predictions matches labels everywhere ( non - 0 ).
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(5001 - 4890) + chr(0b110001) + '\x37' + chr(1290 - 1241), 10494 - 10486), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(503 - 454) + chr(53), 0b1000), ehT0Px3KOsy9(chr(683 - 635) + chr(111) + chr(49) + chr(52) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5960 - 5849) + chr(0b110011) + chr(50) + '\x36', 47903 - 47895), ehT0Px3KOsy9('\060' + chr(4078 - 3967) + chr(51) + '\x31' + chr(2516 - 2461), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + chr(2483 - 2433) + chr(0b110110) + chr(1527 - 1473), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1001 + 0o50) + chr(49) + '\x30', 42938 - 42930), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10110 + 0o37) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2294 - 2243) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(1301 - 1253) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + chr(49) + '\067' + chr(0b110010), 29338 - 29330), ehT0Px3KOsy9('\x30' + chr(0b1001011 + 0o44) + chr(0b110011) + chr(2293 - 2238) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(2362 - 2313) + chr(1234 - 1181) + chr(2217 - 2168), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(54) + '\060', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\060' + chr(2047 - 1996), 63081 - 63073), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(368 - 313) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1486 - 1438) + chr(111) + '\x31' + chr(0b110001) + chr(0b110010), 45591 - 45583), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b110011) + chr(1869 - 1820), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(1275 - 1226) + chr(0b110011), 17947 - 17939), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(1434 - 1380), 0b1000), ehT0Px3KOsy9(chr(1929 - 1881) + '\x6f' + '\062' + chr(1347 - 1294) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(0b111 + 0o57) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(49) + chr(0b1100 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3195 - 3084) + chr(1005 - 956) + '\x36' + chr(50), 41206 - 41198), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\067' + '\065', 0b1000), ehT0Px3KOsy9(chr(1677 - 1629) + '\157' + chr(1577 - 1526) + '\x37' + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b110100) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110) + chr(1778 - 1730), 8), ehT0Px3KOsy9(chr(48) + chr(2464 - 2353) + chr(0b110101) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1620 - 1509) + chr(0b110001) + '\x30' + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\064' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + '\062' + chr(0b110010) + chr(0b1000 + 0o56), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b1110 + 0o44) + '\061', 60153 - 60145), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b11011 + 0o27) + chr(55), 47382 - 47374), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(652 - 597) + chr(0b1001 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b11001 + 0o31) + '\x37', 0b1000), ehT0Px3KOsy9(chr(1220 - 1172) + chr(0b1100110 + 0o11) + chr(0b10 + 0o61) + chr(58 - 5) + chr(1488 - 1436), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(2801 - 2690) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(235 - 184) + chr(49) + chr(48), 55959 - 55951)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1168 - 1120) + '\157' + chr(0b101110 + 0o7) + chr(0b110 + 0o52), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'W'), chr(100) + chr(0b1100101) + '\143' + chr(11794 - 11683) + chr(100) + chr(0b1100101))('\165' + chr(0b1110100) + '\146' + chr(866 - 821) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def vofB48MQrW6K(qIQi_VFCIFZL, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e(\x0c\xb1\xa7\xc2;rp*\x14\x86\x0cB\xac'), chr(100) + chr(0b10111 + 0o116) + chr(0b1010 + 0o131) + chr(0b1000001 + 0o56) + chr(100) + chr(0b1100101))(chr(117) + chr(116) + chr(102) + chr(620 - 575) + chr(2225 - 2169)))):
if xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\n%\x04\xa6\xaa\xe9$Dm1'), chr(0b100110 + 0o76) + chr(9992 - 9891) + chr(0b1100011) + chr(11371 - 11260) + chr(0b1100100) + '\x65')(chr(0b11 + 0o162) + chr(116) + '\x66' + '\055' + chr(1217 - 1161)))(qIQi_VFCIFZL)[-ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 0b1000)] == ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061', 8):
return KcXXHbPz2Iq0(qIQi_VFCIFZL, uXMK81tmdpTM, weights_fn=Pdbc6Q2jZ4RQ)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f,\x17\xbf\xae\xd4$HA6\x19\x93\x19U'), chr(0b11111 + 0o105) + '\x65' + chr(9496 - 9397) + '\x6f' + '\144' + chr(0b110011 + 0o62))('\x75' + chr(116) + '\x66' + chr(0b10100 + 0o31) + chr(160 - 104)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\t,\x01\xb2\xaa\xd2\x17^{4\x0f\x99\x07S\xa6a+\xfa\xa8s\xdecQ\xf3'), chr(0b1100100) + '\x65' + chr(0b111001 + 0o52) + '\x6f' + chr(0b101110 + 0o66) + chr(0b1100101))(chr(0b1101010 + 0o13) + chr(0b1110100) + chr(0b1011101 + 0o11) + '\055' + chr(2174 - 2118)), values=[qIQi_VFCIFZL, uXMK81tmdpTM]):
(txaMhyYLPBro, XKcWUVWYa6Fq) = jSKPaHwSAfVv.pad_with_zeros(qIQi_VFCIFZL, uXMK81tmdpTM)
ZurHTci57aXw = Pdbc6Q2jZ4RQ(XKcWUVWYa6Fq)
JN0WaRxPEhJ1 = jSKPaHwSAfVv.shape_list(txaMhyYLPBro)
ix9dZyeAmUxY = JN0WaRxPEhJ1[ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(7238 - 7127) + chr(48), 60808 - 60800)]
i6loyAgxUM2t = JN0WaRxPEhJ1[-ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b110001), 8)]
sTbxisCPVt7K = jSKPaHwSAfVv.list_product(jSKPaHwSAfVv.shape_list(XKcWUVWYa6Fq)[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), 8):])
txaMhyYLPBro = IDJ2eXGCBCDu.reshape(txaMhyYLPBro, [ix9dZyeAmUxY, jSKPaHwSAfVv.list_product(JN0WaRxPEhJ1[ehT0Px3KOsy9(chr(1067 - 1019) + '\157' + '\x31', 8):-ehT0Px3KOsy9('\x30' + '\157' + '\061', 8)]), i6loyAgxUM2t])
XKcWUVWYa6Fq = IDJ2eXGCBCDu.reshape(XKcWUVWYa6Fq, [ix9dZyeAmUxY, sTbxisCPVt7K])
ZurHTci57aXw = IDJ2eXGCBCDu.reshape(ZurHTci57aXw, [ix9dZyeAmUxY, sTbxisCPVt7K])
Dx_DllZ8uCko = IDJ2eXGCBCDu.to_int32(IDJ2eXGCBCDu.argmax(txaMhyYLPBro, axis=-ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001), 8)))
XKcWUVWYa6Fq = IDJ2eXGCBCDu.to_int32(XKcWUVWYa6Fq)
INHwv8RJBSj0 = IDJ2eXGCBCDu.ZUL3kHBGU8Uu(IDJ2eXGCBCDu.not_equal(Dx_DllZ8uCko, XKcWUVWYa6Fq)) * ZurHTci57aXw
cRTh61qyvi24 = YyaZ4tpXu4lf(vQr8gNKaIaWE(ehT0Px3KOsy9('\060' + chr(8385 - 8274) + chr(49), 8), c2A0yzQpDQB3(Dx_DllZ8uCko.get_shape())))
NNBYcSRt0qtF = 1.0 - IDJ2eXGCBCDu.minimum(1.0, IDJ2eXGCBCDu.reduce_sum(INHwv8RJBSj0, axis=cRTh61qyvi24))
return (NNBYcSRt0qtF, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a"\x0b\xa5\xbb\xd7&Y'), '\144' + '\145' + chr(0b10 + 0o141) + chr(0b11011 + 0o124) + chr(0b1100100) + '\x65')('\165' + chr(0b1110100) + chr(102) + chr(45) + '\x38'))(1.0))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
sequence_edit_distance
|
def sequence_edit_distance(predictions,
labels,
weights_fn=common_layers.weights_nonzero):
"""Average edit distance, ignoring padding 0s.
The score returned is the edit distance divided by the total length of
reference truth and the weight returned is the total length of the truth.
Args:
predictions: Tensor of shape [`batch_size`, `length`, 1, `num_classes`] and
type tf.float32 representing the logits, 0-padded.
labels: Tensor of shape [`batch_size`, `length`, 1, 1] and type tf.int32
representing the labels of same length as logits and 0-padded.
weights_fn: ignored. The weights returned are the total length of the ground
truth labels, excluding 0-paddings.
Returns:
(edit distance / reference length, reference length)
Raises:
ValueError: if weights_fn is not common_layers.weights_nonzero.
"""
if weights_fn is not common_layers.weights_nonzero:
raise ValueError("Only weights_nonzero can be used for this metric.")
with tf.variable_scope("edit_distance", values=[predictions, labels]):
# Transform logits into sequence classes by taking max at every step.
predictions = tf.to_int32(
tf.squeeze(tf.argmax(predictions, axis=-1), axis=(2, 3)))
nonzero_idx = tf.where(tf.not_equal(predictions, 0))
sparse_outputs = tf.SparseTensor(nonzero_idx,
tf.gather_nd(predictions, nonzero_idx),
tf.shape(predictions, out_type=tf.int64))
labels = tf.squeeze(labels, axis=(2, 3))
nonzero_idx = tf.where(tf.not_equal(labels, 0))
label_sparse_outputs = tf.SparseTensor(nonzero_idx,
tf.gather_nd(labels, nonzero_idx),
tf.shape(labels, out_type=tf.int64))
distance = tf.reduce_sum(
tf.edit_distance(sparse_outputs, label_sparse_outputs, normalize=False))
reference_length = tf.to_float(common_layers.shape_list(nonzero_idx)[0])
return distance / reference_length, reference_length
|
python
|
def sequence_edit_distance(predictions,
labels,
weights_fn=common_layers.weights_nonzero):
"""Average edit distance, ignoring padding 0s.
The score returned is the edit distance divided by the total length of
reference truth and the weight returned is the total length of the truth.
Args:
predictions: Tensor of shape [`batch_size`, `length`, 1, `num_classes`] and
type tf.float32 representing the logits, 0-padded.
labels: Tensor of shape [`batch_size`, `length`, 1, 1] and type tf.int32
representing the labels of same length as logits and 0-padded.
weights_fn: ignored. The weights returned are the total length of the ground
truth labels, excluding 0-paddings.
Returns:
(edit distance / reference length, reference length)
Raises:
ValueError: if weights_fn is not common_layers.weights_nonzero.
"""
if weights_fn is not common_layers.weights_nonzero:
raise ValueError("Only weights_nonzero can be used for this metric.")
with tf.variable_scope("edit_distance", values=[predictions, labels]):
# Transform logits into sequence classes by taking max at every step.
predictions = tf.to_int32(
tf.squeeze(tf.argmax(predictions, axis=-1), axis=(2, 3)))
nonzero_idx = tf.where(tf.not_equal(predictions, 0))
sparse_outputs = tf.SparseTensor(nonzero_idx,
tf.gather_nd(predictions, nonzero_idx),
tf.shape(predictions, out_type=tf.int64))
labels = tf.squeeze(labels, axis=(2, 3))
nonzero_idx = tf.where(tf.not_equal(labels, 0))
label_sparse_outputs = tf.SparseTensor(nonzero_idx,
tf.gather_nd(labels, nonzero_idx),
tf.shape(labels, out_type=tf.int64))
distance = tf.reduce_sum(
tf.edit_distance(sparse_outputs, label_sparse_outputs, normalize=False))
reference_length = tf.to_float(common_layers.shape_list(nonzero_idx)[0])
return distance / reference_length, reference_length
|
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] |
Average edit distance, ignoring padding 0s.
The score returned is the edit distance divided by the total length of
reference truth and the weight returned is the total length of the truth.
Args:
predictions: Tensor of shape [`batch_size`, `length`, 1, `num_classes`] and
type tf.float32 representing the logits, 0-padded.
labels: Tensor of shape [`batch_size`, `length`, 1, 1] and type tf.int32
representing the labels of same length as logits and 0-padded.
weights_fn: ignored. The weights returned are the total length of the ground
truth labels, excluding 0-paddings.
Returns:
(edit distance / reference length, reference length)
Raises:
ValueError: if weights_fn is not common_layers.weights_nonzero.
|
[
"Average",
"edit",
"distance",
"ignoring",
"padding",
"0s",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L200-L241
|
train
|
Average edit distance between two sequences.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1010001 + 0o36) + '\x33' + chr(1723 - 1675) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10000 + 0o43) + '\x31' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b11011 + 0o33) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(2379 - 2325) + chr(1141 - 1087), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1210 - 1160) + chr(0b110010 + 0o5) + '\x34', 55689 - 55681), ehT0Px3KOsy9(chr(48) + chr(0b1100011 + 0o14) + chr(0b110001) + chr(0b110011) + chr(0b10000 + 0o43), 0o10), ehT0Px3KOsy9(chr(48) + chr(9800 - 9689) + chr(1671 - 1621) + chr(52) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101100 + 0o5) + '\064' + chr(0b101011 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(51) + chr(50) + '\x35', 43691 - 43683), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b111 + 0o150) + chr(51) + chr(2305 - 2252) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110 + 0o52), 0b1000), ehT0Px3KOsy9(chr(281 - 233) + '\157' + '\x33' + '\066' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101011 + 0o6) + chr(48) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + chr(0b110010) + chr(0b110010) + chr(759 - 711), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b110010 + 0o5) + '\x37', 5200 - 5192), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + '\067' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b10100 + 0o37) + chr(0b101010 + 0o12), 12932 - 12924), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(0b110001) + chr(0b1110 + 0o47) + chr(580 - 531), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(0b110011) + chr(0b110101) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(0b101001 + 0o12) + '\x32' + chr(0b110001), 52838 - 52830), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10111 + 0o33) + chr(2360 - 2307) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1637 - 1589) + chr(1405 - 1294) + chr(0b101010 + 0o11) + chr(0b110011) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101001 + 0o12) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(494 - 446) + '\157' + chr(51) + '\065' + chr(2147 - 2096), 0b1000), ehT0Px3KOsy9(chr(2146 - 2098) + '\157' + chr(49) + '\x37' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1369 - 1321) + '\x6f' + chr(249 - 199) + '\x30' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7894 - 7783) + '\x36' + '\063', 0b1000), ehT0Px3KOsy9(chr(234 - 186) + '\157' + chr(49) + chr(0b100010 + 0o17) + '\x30', 20794 - 20786), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(1466 - 1414) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3398 - 3287) + chr(0b110001) + '\063' + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\x32' + chr(2154 - 2100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\061' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(660 - 609) + chr(0b110101) + chr(2451 - 2400), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011000 + 0o27) + '\061' + '\x31' + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(2786 - 2732) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(986 - 936) + chr(50) + chr(0b100100 + 0o17), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(519 - 470) + chr(0b110111) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + chr(0b11000 + 0o32) + '\x30' + chr(51), 14634 - 14626), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2022 - 1967) + '\060', 34292 - 34284), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b11000 + 0o32), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(2210 - 2157) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xea'), chr(100) + chr(101) + chr(99) + '\157' + chr(0b1100100) + chr(101))('\165' + '\164' + chr(4011 - 3909) + '\055' + chr(2383 - 2327)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Hhb7i8HD84FD(qIQi_VFCIFZL, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\xaa\xd8\xd1\xd4/\xd5?\xbb\x83f\x8c \xe2\xd0'), chr(0b11011 + 0o111) + '\x65' + '\x63' + chr(0b1101111) + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(9854 - 9752) + chr(45) + '\070'))):
if Pdbc6Q2jZ4RQ is not xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\xaa\xd8\xd1\xd4/\xd5?\xbb\x83f\x8c \xe2\xd0'), chr(0b1000010 + 0o42) + chr(0b1000010 + 0o43) + chr(99) + '\157' + '\144' + chr(0b111 + 0o136))(chr(12091 - 11974) + '\x74' + chr(102) + '\055' + chr(596 - 540))):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\xa1\xdd\xcf\x9c,\xc3\t\xb2\x84|\x85\x1a\xfe\xd0P\xe6\x0c\x9a\xbe\x8f\xb9x\x85_\xe0Vh\x17-3\xea\xcb/\x1c\xe1X\xf7P{\xb7\xef\xdc\xd3\xc8)\xcf\x03\xfb'), chr(0b1100100) + chr(4526 - 4425) + chr(99) + '\x6f' + chr(0b1011011 + 0o11) + chr(101))('\x75' + '\164' + chr(3456 - 3354) + '\055' + chr(897 - 841)))
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\xae\xc3\xdf\xdd9\xca\x05\x8a\x9fk\x995\xf5'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(100) + '\145')(chr(117) + '\x74' + chr(7833 - 7731) + chr(45) + chr(0b110011 + 0o5)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\xab\xd8\xc2\xe3?\xcf\x13\xa1\x8df\x95 '), '\144' + '\145' + chr(99) + chr(1010 - 899) + chr(0b1011010 + 0o12) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(3838 - 3736) + '\x2d' + chr(981 - 925)), values=[qIQi_VFCIFZL, uXMK81tmdpTM]):
qIQi_VFCIFZL = IDJ2eXGCBCDu.to_int32(IDJ2eXGCBCDu.squeeze(IDJ2eXGCBCDu.argmax(qIQi_VFCIFZL, axis=-ehT0Px3KOsy9('\060' + chr(111) + chr(788 - 739), 10981 - 10973)), axis=(ehT0Px3KOsy9(chr(48) + '\157' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3375 - 3264) + chr(0b11000 + 0o33), 59721 - 59713))))
BknG4s3HTVO0 = IDJ2eXGCBCDu.dRFAC59yQBm_(IDJ2eXGCBCDu.not_equal(qIQi_VFCIFZL, ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 31082 - 31074)))
vX0nJdXbVo7T = IDJ2eXGCBCDu.SparseTensor(BknG4s3HTVO0, IDJ2eXGCBCDu.gather_nd(qIQi_VFCIFZL, BknG4s3HTVO0), IDJ2eXGCBCDu.nauYfLglTpcb(qIQi_VFCIFZL, out_type=IDJ2eXGCBCDu.int64))
uXMK81tmdpTM = IDJ2eXGCBCDu.squeeze(uXMK81tmdpTM, axis=(ehT0Px3KOsy9('\x30' + '\157' + chr(0b101000 + 0o12), 8), ehT0Px3KOsy9(chr(1028 - 980) + '\x6f' + chr(51), 8)))
BknG4s3HTVO0 = IDJ2eXGCBCDu.dRFAC59yQBm_(IDJ2eXGCBCDu.not_equal(uXMK81tmdpTM, ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(48), 8)))
wb7GR4Zgrk_F = IDJ2eXGCBCDu.SparseTensor(BknG4s3HTVO0, IDJ2eXGCBCDu.gather_nd(uXMK81tmdpTM, BknG4s3HTVO0), IDJ2eXGCBCDu.nauYfLglTpcb(uXMK81tmdpTM, out_type=IDJ2eXGCBCDu.int64))
PKlczyAx7TeW = IDJ2eXGCBCDu.reduce_sum(IDJ2eXGCBCDu.edit_distance(vX0nJdXbVo7T, wb7GR4Zgrk_F, normalize=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101000 + 0o10), 8)))
MIBv1aIKYoeq = IDJ2eXGCBCDu.ZUL3kHBGU8Uu(jSKPaHwSAfVv.shape_list(BknG4s3HTVO0)[ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1000100 + 0o53) + chr(48), 8)])
return (PKlczyAx7TeW / MIBv1aIKYoeq, MIBv1aIKYoeq)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
padded_neg_log_perplexity
|
def padded_neg_log_perplexity(predictions,
labels,
weights_fn=common_layers.weights_nonzero):
"""Average log-perplexity exluding padding 0s. No smoothing."""
num, den = common_layers.padded_cross_entropy(
predictions, labels, 0.0, weights_fn=weights_fn, reduce_sum=False)
return (-num, den)
|
python
|
def padded_neg_log_perplexity(predictions,
labels,
weights_fn=common_layers.weights_nonzero):
"""Average log-perplexity exluding padding 0s. No smoothing."""
num, den = common_layers.padded_cross_entropy(
predictions, labels, 0.0, weights_fn=weights_fn, reduce_sum=False)
return (-num, den)
|
[
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")",
":",
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",",
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] |
Average log-perplexity exluding padding 0s. No smoothing.
|
[
"Average",
"log",
"-",
"perplexity",
"exluding",
"padding",
"0s",
".",
"No",
"smoothing",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L244-L250
|
train
|
Average log - perplexity exluding padding 0s. No smoothing.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b110001) + '\067' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(2392 - 2342) + chr(0b110011) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(2295 - 2247) + '\x6f' + chr(2444 - 2394) + chr(49) + chr(0b101 + 0o53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b11111 + 0o23) + chr(416 - 364), ord("\x08")), ehT0Px3KOsy9(chr(351 - 303) + chr(2285 - 2174) + '\063' + chr(54) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(8857 - 8746) + chr(55) + '\x32', 4056 - 4048), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\065' + chr(48), 25287 - 25279), ehT0Px3KOsy9(chr(48) + chr(111) + chr(561 - 510) + chr(0b110100) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + '\x33' + chr(0b110111) + chr(2252 - 2204), 44825 - 44817), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + chr(0b110110) + chr(0b11100 + 0o26), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000001 + 0o56) + '\x32' + '\062' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(50) + '\x34', 8), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b101110 + 0o101) + '\061' + '\064' + chr(1834 - 1782), ord("\x08")), ehT0Px3KOsy9(chr(2002 - 1954) + chr(0b1000011 + 0o54) + chr(0b110010) + '\066' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101110 + 0o1) + '\060', 61571 - 61563), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\x37' + chr(0b101111 + 0o2), 64999 - 64991), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + chr(0b110010) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10110 + 0o35) + '\062' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110111) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53) + '\066', 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b100101 + 0o112) + chr(2193 - 2142) + '\x36' + chr(2158 - 2105), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + chr(0b110001) + chr(53) + chr(1915 - 1867), 8), ehT0Px3KOsy9(chr(800 - 752) + chr(111) + '\062' + chr(54) + '\065', 57732 - 57724), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\060' + chr(0b11101 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1 + 0o66) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10920 - 10809) + chr(0b1001 + 0o47), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\065' + '\x30', 0o10), ehT0Px3KOsy9(chr(2058 - 2010) + '\x6f' + '\065' + chr(1761 - 1712), 757 - 749), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(0b110010) + '\063' + chr(0b110110), 8), ehT0Px3KOsy9(chr(1513 - 1465) + chr(111) + chr(51) + chr(1026 - 973) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(0b10110 + 0o35) + '\x33' + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\062' + chr(0b101000 + 0o17), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6893 - 6782) + '\x31' + '\063' + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110111) + chr(0b100110 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(53) + '\062', 0o10), ehT0Px3KOsy9(chr(327 - 279) + chr(111) + chr(51) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x37' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110011) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(694 - 646) + '\x6f' + chr(0b110 + 0o53) + '\x30' + '\x35', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(4521 - 4410) + chr(161 - 108) + chr(1542 - 1494), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'W'), '\x64' + '\145' + chr(0b1100011) + chr(0b10 + 0o155) + '\x64' + '\145')(chr(11688 - 11571) + '\164' + chr(4326 - 4224) + chr(0b100100 + 0o11) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xOprkwz2lywC(qIQi_VFCIFZL, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xfb\xe13\x9fN\x1b\xbf\x96]\xfa\xee\x01\xc3o'), chr(0b1100100) + chr(0b1100101) + chr(3442 - 3343) + '\x6f' + chr(100) + '\145')(chr(117) + chr(0b1000000 + 0o64) + '\x66' + chr(0b10000 + 0o35) + '\x38'))):
(jFuGPhnxN9fq, fcUz5Oj87IEH) = jSKPaHwSAfVv.padded_cross_entropy(qIQi_VFCIFZL, uXMK81tmdpTM, 0.0, weights_fn=Pdbc6Q2jZ4RQ, reduce_sum=ehT0Px3KOsy9(chr(1178 - 1130) + '\157' + chr(48), 8))
return (-jFuGPhnxN9fq, fcUz5Oj87IEH)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
padded_neg_log_perplexity_with_masking
|
def padded_neg_log_perplexity_with_masking(
predictions,
labels,
features,
weights_fn=None):
"""Average log-perplexity with custom targets_mask."""
del weights_fn
if "targets_mask" not in features:
raise ValueError("masked_neg_log_perplexity requires targets_mask feature")
# Features are 4 dimensional, so we need to reshape the targets_mask to match
# the shape of the labels. A lot of models rely on these features being 4D,
# so it's best to update the shape of the mask.
extended_targets_mask_shape = common_layers.shape_list(
features["targets_mask"])
extended_targets_mask_shape.extend([1, 1])
features["targets_mask"] = tf.reshape(features["targets_mask"],
shape=extended_targets_mask_shape)
mask_fn = lambda labels: features["targets_mask"]
return padded_neg_log_perplexity(predictions, labels, mask_fn)
|
python
|
def padded_neg_log_perplexity_with_masking(
predictions,
labels,
features,
weights_fn=None):
"""Average log-perplexity with custom targets_mask."""
del weights_fn
if "targets_mask" not in features:
raise ValueError("masked_neg_log_perplexity requires targets_mask feature")
# Features are 4 dimensional, so we need to reshape the targets_mask to match
# the shape of the labels. A lot of models rely on these features being 4D,
# so it's best to update the shape of the mask.
extended_targets_mask_shape = common_layers.shape_list(
features["targets_mask"])
extended_targets_mask_shape.extend([1, 1])
features["targets_mask"] = tf.reshape(features["targets_mask"],
shape=extended_targets_mask_shape)
mask_fn = lambda labels: features["targets_mask"]
return padded_neg_log_perplexity(predictions, labels, mask_fn)
|
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] |
Average log-perplexity with custom targets_mask.
|
[
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"-",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L253-L273
|
train
|
Average log - perplexity with custom targets_mask.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1101 + 0o45) + chr(55) + chr(0b1101 + 0o44), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + '\x32' + '\x30' + chr(0b100100 + 0o16), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1311 - 1262) + chr(52) + chr(52), 19306 - 19298), ehT0Px3KOsy9(chr(294 - 246) + chr(0b1101111) + chr(0b11000 + 0o34) + chr(856 - 803), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(50) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(2472 - 2417), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(10933 - 10822) + '\x37' + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6885 - 6774) + chr(49) + '\x37' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b101110 + 0o101) + chr(0b110011) + '\063' + chr(49), 31801 - 31793), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(48) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(896 - 847) + chr(0b110001) + chr(465 - 412), 5111 - 5103), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\064' + chr(0b101001 + 0o12), 0o10), ehT0Px3KOsy9(chr(459 - 411) + chr(9633 - 9522) + chr(49) + chr(54) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1755 - 1707) + '\x6f' + '\062' + chr(51) + chr(0b110010), 2878 - 2870), ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + chr(49) + chr(1459 - 1407) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + chr(0b1011 + 0o46) + chr(478 - 426) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1194 - 1146) + chr(11289 - 11178) + chr(0b110011) + '\063' + '\062', 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(6627 - 6516) + '\065' + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b110111) + chr(0b110111), 32005 - 31997), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(55) + chr(0b10100 + 0o42), 16680 - 16672), ehT0Px3KOsy9(chr(0b110000) + chr(7440 - 7329) + chr(0b110001) + chr(839 - 791) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(137 - 88) + '\x33' + chr(0b100100 + 0o16), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\067' + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110 + 0o55) + chr(0b110000) + '\x36', 0b1000), ehT0Px3KOsy9(chr(2260 - 2212) + '\x6f' + chr(51) + chr(0b110101) + chr(0b110011), 59406 - 59398), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1009 - 958) + '\063' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1976 - 1928) + chr(0b100010 + 0o115) + chr(49) + chr(969 - 920) + chr(2320 - 2271), 0b1000), ehT0Px3KOsy9(chr(1898 - 1850) + chr(0b10100 + 0o133) + chr(237 - 188) + chr(0b110110) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b11100 + 0o123) + '\x33' + '\063' + chr(0b111 + 0o56), 16321 - 16313), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b110010) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3848 - 3737) + chr(0b110110) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\062' + chr(0b110001 + 0o4), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1 + 0o61) + '\064' + chr(2524 - 2469), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(56 - 7) + '\x31' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110111) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111100 + 0o63) + '\063' + chr(1407 - 1354) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011100 + 0o23) + chr(2220 - 2169) + chr(0b1100 + 0o44) + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\x37' + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10010 + 0o40) + chr(1780 - 1728) + chr(0b111 + 0o56), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(53) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x97'), '\x64' + chr(1708 - 1607) + '\x63' + chr(3658 - 3547) + chr(0b1100100) + chr(0b1100101))(chr(0b100110 + 0o117) + '\164' + chr(0b1010101 + 0o21) + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def b3p9xh23mtOC(qIQi_VFCIFZL, uXMK81tmdpTM, EEf4r9nUvta_, Pdbc6Q2jZ4RQ=None):
del Pdbc6Q2jZ4RQ
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xe3\x16B\xf4kK%\xb4\xe0>H'), chr(0b1100100) + chr(167 - 66) + '\143' + chr(0b1101111) + chr(100) + chr(101))(chr(0b1110101) + chr(0b1011011 + 0o31) + '\146' + '\055' + chr(2341 - 2285)) not in EEf4r9nUvta_:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xe3\x17N\xf4{g\x14\xbc\xe6\x12O\x19\xfd?\x16\xbf[\x0f\x12 "Q\xb2\x92\xf8;\x12`\xa8\xffC\xb0\xd4jH\x8d\xb4\x9d\xc0\xcd\xf1;H\xf0lSZ\xbf\xe4,W\x03\xe8\x05'), '\144' + chr(3148 - 3047) + chr(0b11101 + 0o106) + chr(111) + chr(100) + chr(7574 - 7473))(chr(0b1100010 + 0o23) + chr(13073 - 12957) + chr(0b1 + 0o145) + chr(0b101101) + '\x38'))
Fy8zVTpNzcXN = jSKPaHwSAfVv.shape_list(EEf4r9nUvta_[xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xe3\x16B\xf4kK%\xb4\xe0>H'), chr(4545 - 4445) + chr(101) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(101))('\165' + chr(0b1110100) + chr(2186 - 2084) + chr(366 - 321) + '\070')])
xafqLlk3kkUe(Fy8zVTpNzcXN, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xfa\x10@\xff{'), '\144' + chr(0b1100101) + chr(99) + chr(0b1101111) + '\x64' + '\145')('\x75' + '\164' + '\146' + '\x2d' + chr(757 - 701)))([ehT0Px3KOsy9('\060' + chr(1385 - 1274) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101000 + 0o11), 8)])
EEf4r9nUvta_[xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xe3\x16B\xf4kK%\xb4\xe0>H'), chr(0b1100100) + chr(9952 - 9851) + chr(0b1100001 + 0o2) + chr(0b1100010 + 0o15) + '\x64' + chr(101))(chr(117) + '\164' + '\x66' + chr(45) + chr(0b110111 + 0o1))] = IDJ2eXGCBCDu.reshape(EEf4r9nUvta_[xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xe3\x16B\xf4kK%\xb4\xe0>H'), '\144' + chr(5134 - 5033) + '\x63' + '\x6f' + '\x64' + '\145')('\x75' + '\x74' + chr(102) + chr(0b100 + 0o51) + '\x38')], shape=Fy8zVTpNzcXN)
def WrEUdzDPkNGU(uXMK81tmdpTM):
return EEf4r9nUvta_[xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xe3\x16B\xf4kK%\xb4\xe0>H'), chr(100) + chr(0b1100101) + chr(5564 - 5465) + chr(0b1101010 + 0o5) + '\144' + chr(0b11100 + 0o111))(chr(7030 - 6913) + chr(0b1110100) + chr(102) + '\055' + '\x38')]
return xOprkwz2lywC(qIQi_VFCIFZL, uXMK81tmdpTM, WrEUdzDPkNGU)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
dmol_neg_log_perplexity
|
def dmol_neg_log_perplexity(predictions,
labels,
weights_fn=None):
"""Average log-perplexity excluding padding 0s. No smoothing."""
del weights_fn # Unused
num, den = common_layers.dml_loss(
predictions, labels, reduce_sum=False)
return (-num, den)
|
python
|
def dmol_neg_log_perplexity(predictions,
labels,
weights_fn=None):
"""Average log-perplexity excluding padding 0s. No smoothing."""
del weights_fn # Unused
num, den = common_layers.dml_loss(
predictions, labels, reduce_sum=False)
return (-num, den)
|
[
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"dmol_neg_log_perplexity",
"(",
"predictions",
",",
"labels",
",",
"weights_fn",
"=",
"None",
")",
":",
"del",
"weights_fn",
"# Unused",
"num",
",",
"den",
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"common_layers",
".",
"dml_loss",
"(",
"predictions",
",",
"labels",
",",
"reduce_sum",
"=",
"False",
")",
"return",
"(",
"-",
"num",
",",
"den",
")"
] |
Average log-perplexity excluding padding 0s. No smoothing.
|
[
"Average",
"log",
"-",
"perplexity",
"excluding",
"padding",
"0s",
".",
"No",
"smoothing",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L276-L283
|
train
|
Average log - perplexity excluding padding 0s. No smoothing.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b1000010 + 0o55) + chr(49) + '\060' + chr(1199 - 1148), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(829 - 778) + chr(54) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7918 - 7807) + chr(51) + '\062' + '\x35', 30315 - 30307), ehT0Px3KOsy9(chr(1176 - 1128) + chr(111) + chr(0b101110 + 0o3) + '\x30' + chr(0b110001), 19138 - 19130), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(116 - 67) + chr(0b1111 + 0o41) + chr(0b1010 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8227 - 8116) + chr(0b110010) + '\066' + chr(1324 - 1274), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(0b1000 + 0o53) + chr(0b101000 + 0o15) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b110000) + chr(0b10010 + 0o45), 0b1000), ehT0Px3KOsy9(chr(1646 - 1598) + chr(0b1101111) + '\x32' + '\063' + chr(53), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1962 - 1911) + chr(0b110001) + chr(49), 16864 - 16856), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(53), 38584 - 38576), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1111 + 0o42) + chr(0b10101 + 0o34) + '\062', 46334 - 46326), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(253 - 202), 49227 - 49219), ehT0Px3KOsy9(chr(1709 - 1661) + chr(0b1101111) + chr(0b110001) + chr(0b110010) + chr(0b100010 + 0o17), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11 + 0o60) + chr(55) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4299 - 4188) + chr(0b110010) + chr(0b110111) + chr(416 - 365), 13431 - 13423), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(466 - 411) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b1111 + 0o44) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(0b110100) + chr(1435 - 1386), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\066' + chr(48), 41971 - 41963), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + chr(49) + chr(1543 - 1489) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(2130 - 2081) + chr(0b101011 + 0o14), 0b1000), ehT0Px3KOsy9(chr(296 - 248) + chr(0b1101111) + '\063' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x32' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1848 - 1800) + '\x6f' + '\063' + '\x30' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1454 - 1406) + '\157' + '\061' + '\067' + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101100 + 0o103) + '\x33' + chr(2369 - 2320) + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + '\062' + '\060' + chr(420 - 366), 0o10), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + '\064' + chr(0b110100), 60315 - 60307), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101110 + 0o4) + chr(0b110010) + chr(55), 5530 - 5522), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110111) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(55), 53945 - 53937), ehT0Px3KOsy9(chr(1831 - 1783) + '\x6f' + '\x33' + chr(53) + chr(0b11010 + 0o30), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\067', 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(2443 - 2391) + '\x33', 0o10), ehT0Px3KOsy9(chr(73 - 25) + '\x6f' + chr(2347 - 2297) + chr(118 - 65) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\063' + chr(625 - 572), 8), ehT0Px3KOsy9(chr(48) + chr(0b1010010 + 0o35) + chr(901 - 850) + chr(0b110110) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2399 - 2349) + chr(0b1001 + 0o52) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100011 + 0o17) + '\x31' + chr(2379 - 2329), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(322 - 269) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'm'), chr(0b1001111 + 0o25) + chr(101) + chr(99) + chr(0b100101 + 0o112) + '\144' + chr(101))(chr(0b101111 + 0o106) + chr(116) + chr(7446 - 7344) + chr(1452 - 1407) + chr(0b1011 + 0o55)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def n1aPfSEwkxyA(qIQi_VFCIFZL, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=None):
del Pdbc6Q2jZ4RQ
(jFuGPhnxN9fq, fcUz5Oj87IEH) = jSKPaHwSAfVv.dml_loss(qIQi_VFCIFZL, uXMK81tmdpTM, reduce_sum=ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + chr(1711 - 1663), 44662 - 44654))
return (-jFuGPhnxN9fq, fcUz5Oj87IEH)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
rounding_accuracy
|
def rounding_accuracy(predictions,
labels,
weights_fn=common_layers.weights_nonzero):
"""Rounding accuracy for L1/L2 losses: round down the predictions to ints."""
outputs = tf.squeeze(tf.to_int32(predictions))
labels = tf.squeeze(labels)
weights = weights_fn(labels)
labels = tf.to_int32(labels)
return tf.to_float(tf.equal(outputs, labels)), weights
|
python
|
def rounding_accuracy(predictions,
labels,
weights_fn=common_layers.weights_nonzero):
"""Rounding accuracy for L1/L2 losses: round down the predictions to ints."""
outputs = tf.squeeze(tf.to_int32(predictions))
labels = tf.squeeze(labels)
weights = weights_fn(labels)
labels = tf.to_int32(labels)
return tf.to_float(tf.equal(outputs, labels)), weights
|
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Rounding accuracy for L1/L2 losses: round down the predictions to ints.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L286-L294
|
train
|
Rounding accuracy for L1 and L2 losses.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b100001 + 0o17) + chr(1885 - 1833), 8747 - 8739), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11000 + 0o31) + chr(0b10100 + 0o41) + chr(543 - 494), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(1979 - 1929) + chr(0b110101), 50897 - 50889), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101110 + 0o5) + chr(1789 - 1738), 27237 - 27229), ehT0Px3KOsy9(chr(1276 - 1228) + chr(0b1101111) + '\x33' + '\062' + '\063', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b110011) + chr(0b110011) + chr(50), 0b1000), ehT0Px3KOsy9(chr(1864 - 1816) + chr(4065 - 3954) + chr(0b111 + 0o57), 63309 - 63301), ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + chr(50) + '\x30' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b110110) + chr(0b110011), 61930 - 61922), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100011 + 0o16) + chr(0b110011) + chr(0b101 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(0b10100 + 0o36) + chr(0b110000) + '\060', 52140 - 52132), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(52) + '\x32', 0o10), ehT0Px3KOsy9(chr(2137 - 2089) + chr(111) + chr(2182 - 2132), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b101100 + 0o10) + '\x32', 3635 - 3627), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001 + 0o0) + chr(0b100000 + 0o22) + chr(1413 - 1365), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(0b110011) + chr(0b100101 + 0o13) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(696 - 648) + chr(0b1101111) + '\x31' + chr(0b100111 + 0o12) + chr(0b111 + 0o57), 0o10), ehT0Px3KOsy9('\x30' + chr(10159 - 10048) + chr(2610 - 2555) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110001) + chr(0b110111), 3627 - 3619), ehT0Px3KOsy9(chr(745 - 697) + chr(111) + '\x33' + chr(53) + chr(0b100011 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(50) + '\x36', 0o10), ehT0Px3KOsy9(chr(1739 - 1691) + chr(1490 - 1379) + chr(0b110001) + chr(54) + '\x31', 0o10), ehT0Px3KOsy9(chr(2122 - 2074) + chr(9916 - 9805) + chr(0b100001 + 0o17), 29118 - 29110), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1420 - 1368) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010010 + 0o35) + '\x33' + '\x32' + chr(0b100110 + 0o13), 50697 - 50689), ehT0Px3KOsy9(chr(989 - 941) + chr(0b1101111) + chr(1135 - 1085) + chr(0b11000 + 0o36) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(54) + chr(1539 - 1491), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1286 - 1175) + chr(0b10000 + 0o41) + '\065' + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\x37', 24713 - 24705), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b110011) + chr(0b10101 + 0o41), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\x32' + chr(1194 - 1142), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b110000) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(8805 - 8694) + '\x32' + '\x32' + chr(0b101101 + 0o12), 0o10), ehT0Px3KOsy9(chr(1144 - 1096) + chr(0b10010 + 0o135) + chr(2372 - 2318) + chr(0b1011 + 0o46), 0o10), ehT0Px3KOsy9(chr(48) + chr(9297 - 9186) + '\x33', 0o10), ehT0Px3KOsy9(chr(361 - 313) + chr(12008 - 11897) + chr(51) + chr(0b110001) + chr(0b10111 + 0o32), 48890 - 48882), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\066' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2203 - 2154) + chr(0b100000 + 0o24) + chr(0b110010), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2114 - 2066) + chr(111) + chr(2272 - 2219) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xea'), chr(0b1000110 + 0o36) + chr(101) + chr(99) + chr(0b101111 + 0o100) + chr(0b100011 + 0o101) + chr(0b1100101))(chr(117) + chr(116) + chr(0b1001010 + 0o34) + chr(1118 - 1073) + chr(0b101001 + 0o17)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jcExeJDvv0uU(qIQi_VFCIFZL, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\x0cs\xf2s\xa7\xa9Y\xef\x9c0\xfa\x87p\r'), chr(804 - 704) + chr(0b1100101) + chr(0b1100000 + 0o3) + chr(5658 - 5547) + chr(0b1100100) + '\145')(chr(0b1000001 + 0o64) + '\x74' + '\146' + chr(45) + chr(156 - 100)))):
Dx_DllZ8uCko = IDJ2eXGCBCDu.squeeze(IDJ2eXGCBCDu.to_int32(qIQi_VFCIFZL))
uXMK81tmdpTM = IDJ2eXGCBCDu.squeeze(uXMK81tmdpTM)
ZurHTci57aXw = Pdbc6Q2jZ4RQ(uXMK81tmdpTM)
uXMK81tmdpTM = IDJ2eXGCBCDu.to_int32(uXMK81tmdpTM)
return (xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e<V\xa6p\x9b\x98A\xd4\xcb\x0b\xf5'), '\x64' + '\145' + chr(4219 - 4120) + chr(111) + chr(0b111000 + 0o54) + '\145')('\x75' + '\x74' + chr(102) + '\055' + chr(0b10000 + 0o50)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\x18o\xf4w'), '\x64' + '\x65' + chr(7608 - 7509) + '\x6f' + chr(0b1100100) + '\x65')(chr(10259 - 10142) + chr(0b1 + 0o163) + chr(102) + chr(365 - 320) + '\x38'))(Dx_DllZ8uCko, uXMK81tmdpTM)), ZurHTci57aXw)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
padded_accuracy
|
def padded_accuracy(predictions,
labels,
weights_fn=common_layers.weights_nonzero):
"""Percentage of times that predictions matches labels on non-0s."""
# If the last dimension is 1 then we're using L1/L2 loss.
if common_layers.shape_list(predictions)[-1] == 1:
return rounding_accuracy(predictions, labels, weights_fn=weights_fn)
with tf.variable_scope("padded_accuracy", values=[predictions, labels]):
padded_predictions, padded_labels = common_layers.pad_with_zeros(
predictions, labels)
weights = weights_fn(padded_labels)
outputs = tf.to_int32(tf.argmax(padded_predictions, axis=-1))
padded_labels = tf.to_int32(padded_labels)
return tf.to_float(tf.equal(outputs, padded_labels)), weights
|
python
|
def padded_accuracy(predictions,
labels,
weights_fn=common_layers.weights_nonzero):
"""Percentage of times that predictions matches labels on non-0s."""
# If the last dimension is 1 then we're using L1/L2 loss.
if common_layers.shape_list(predictions)[-1] == 1:
return rounding_accuracy(predictions, labels, weights_fn=weights_fn)
with tf.variable_scope("padded_accuracy", values=[predictions, labels]):
padded_predictions, padded_labels = common_layers.pad_with_zeros(
predictions, labels)
weights = weights_fn(padded_labels)
outputs = tf.to_int32(tf.argmax(padded_predictions, axis=-1))
padded_labels = tf.to_int32(padded_labels)
return tf.to_float(tf.equal(outputs, padded_labels)), weights
|
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Percentage of times that predictions matches labels on non-0s.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L297-L310
|
train
|
Percentage of times that predictions matches labels on non - 0s.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b10101 + 0o132) + chr(2287 - 2234) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(48), 0o10), ehT0Px3KOsy9(chr(1297 - 1249) + chr(0b101100 + 0o103) + chr(1949 - 1898) + chr(52) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(5068 - 4957) + '\x31' + chr(52) + chr(0b100000 + 0o21), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(688 - 637) + chr(0b10 + 0o62) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b10100 + 0o34) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b100011 + 0o20) + '\x31', 5098 - 5090), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b11001 + 0o35) + chr(0b11 + 0o55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x34' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b11110 + 0o121) + '\061' + '\x37' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(2051 - 2003) + '\x6f' + chr(0b110011) + chr(55) + chr(0b110111), 34032 - 34024), ehT0Px3KOsy9(chr(355 - 307) + chr(0b1001001 + 0o46) + '\x32' + '\064' + chr(265 - 211), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010010 + 0o35) + '\x31' + chr(740 - 690) + '\x35', 21961 - 21953), ehT0Px3KOsy9('\x30' + chr(111) + '\067' + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10164 - 10053) + '\x35' + '\x33', 2114 - 2106), ehT0Px3KOsy9('\x30' + chr(6185 - 6074) + chr(2361 - 2310) + chr(0b100 + 0o63) + '\x36', 63288 - 63280), ehT0Px3KOsy9(chr(1271 - 1223) + '\x6f' + '\062' + chr(0b110001) + chr(0b11010 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(1540 - 1492) + chr(0b1101111) + '\066' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1189 - 1141) + '\x6f' + '\065' + '\x31', 19024 - 19016), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x36' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b110001) + chr(0b10 + 0o62), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(55) + chr(2047 - 1999), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\067' + chr(788 - 740), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(363 - 313) + '\063' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b101110 + 0o101) + '\063' + chr(51) + chr(49), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1010 - 955) + '\x34', 0o10), ehT0Px3KOsy9(chr(642 - 594) + '\157' + chr(51) + chr(0b110101) + chr(55), 34720 - 34712), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + chr(52) + '\061', 20966 - 20958), ehT0Px3KOsy9('\060' + chr(8900 - 8789) + chr(0b10010 + 0o41) + chr(0b110010) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(55) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + '\x33' + '\066' + '\065', 43945 - 43937), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110 + 0o54) + '\x32' + '\062', 0b1000), ehT0Px3KOsy9(chr(603 - 555) + chr(8655 - 8544) + '\063' + chr(0b110101) + chr(0b101001 + 0o13), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1981 - 1931) + chr(0b100110 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1284 - 1234) + chr(0b10 + 0o63) + '\067', 27418 - 27410), ehT0Px3KOsy9(chr(1945 - 1897) + '\x6f' + chr(2343 - 2294) + chr(0b110000) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + chr(0b11001 + 0o30) + '\061' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4657 - 4546) + '\061' + chr(0b110110) + '\065', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(9058 - 8947) + chr(0b110011) + '\060', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(1331 - 1278) + chr(372 - 324), 49233 - 49225)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x03'), chr(0b1000111 + 0o35) + chr(0b100101 + 0o100) + '\143' + chr(111) + chr(100) + chr(101))(chr(0b1110101) + chr(0b1001 + 0o153) + chr(3268 - 3166) + '\x2d' + chr(0b101000 + 0o20)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gu93cFSuK4jz(qIQi_VFCIFZL, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'Ze\x8b\x06\x8e0\xaa\xaf\r\x14\x91\xdc0MD'), chr(3695 - 3595) + '\x65' + '\143' + chr(2407 - 2296) + chr(0b1000001 + 0o43) + chr(0b100000 + 0o105))('\x75' + chr(116) + chr(6529 - 6427) + '\055' + '\x38'))):
if xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'^h\x83\x11\x83\x1b\xb5\x99\x10\x0f'), chr(100) + chr(0b1100101) + chr(99) + chr(986 - 875) + chr(4272 - 4172) + '\145')('\165' + chr(116) + chr(0b1100110) + '\055' + chr(0b101001 + 0o17)))(qIQi_VFCIFZL)[-ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(1914 - 1865), 8)] == ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + '\x31', 8):
return jcExeJDvv0uU(qIQi_VFCIFZL, uXMK81tmdpTM, weights_fn=Pdbc6Q2jZ4RQ)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'[a\x90\x08\x87&\xb5\x95<\x08\x9c\xc9%Z'), chr(0b10010 + 0o122) + chr(101) + chr(0b1001001 + 0o32) + '\157' + '\144' + chr(0b1100101))('\165' + chr(0b1011101 + 0o27) + '\x66' + chr(0b10101 + 0o30) + chr(0b111000 + 0o0)))(xafqLlk3kkUe(SXOLrMavuUCe(b']a\x86\x05\x83 \x86\x91\x00\x18\x8a\xd44\\R'), chr(0b1100100) + chr(1599 - 1498) + chr(0b1011101 + 0o6) + '\x6f' + '\144' + chr(101))('\x75' + chr(0b1011011 + 0o31) + chr(2033 - 1931) + chr(0b1000 + 0o45) + chr(1670 - 1614)), values=[qIQi_VFCIFZL, uXMK81tmdpTM]):
(txaMhyYLPBro, XKcWUVWYa6Fq) = jSKPaHwSAfVv.pad_with_zeros(qIQi_VFCIFZL, uXMK81tmdpTM)
ZurHTci57aXw = Pdbc6Q2jZ4RQ(XKcWUVWYa6Fq)
Dx_DllZ8uCko = IDJ2eXGCBCDu.to_int32(IDJ2eXGCBCDu.argmax(txaMhyYLPBro, axis=-ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(49), 8)))
XKcWUVWYa6Fq = IDJ2eXGCBCDu.to_int32(XKcWUVWYa6Fq)
return (xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'wU\xaeR\x8d\x0c\x9b\xb76C\xaa\xd3'), '\x64' + '\145' + chr(99) + chr(0b1101000 + 0o7) + '\144' + chr(4630 - 4529))(chr(117) + '\x74' + '\146' + '\x2d' + chr(56)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'Hq\x97\x00\x8a'), '\144' + '\145' + chr(9259 - 9160) + chr(111) + chr(985 - 885) + chr(0b1100101))('\165' + '\164' + chr(4639 - 4537) + chr(0b10111 + 0o26) + chr(0b101011 + 0o15)))(Dx_DllZ8uCko, XKcWUVWYa6Fq)), ZurHTci57aXw)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
multilabel_accuracy_matchk
|
def multilabel_accuracy_matchk(predictions,
labels,
k,
weights_fn=common_layers.weights_nonzero):
"""Used to evaluate the VQA accuracy.
Let n be the times that predictions appear in labels, then final score
is min(n/k, 1).
Refer to https://arxiv.org/pdf/1505.00468.pdf.
Args:
predictions: A tensor with shape [batch_size, 1, 1, 1, vocab_size].
labels: A tensor with shape [batch_size, length, 1, 1].
k: A tensor constant.
weights_fn: weight function.
Returns:
scores: min(n/k, 1).
weights: returns all ones.
"""
predictions = tf.to_int32(tf.argmax(predictions, axis=-1))
scores = tf.to_float(tf.equal(predictions, labels))
# those label == 0 do not count
weights = weights_fn(labels)
scores *= weights
scores = tf.reduce_sum(scores, axis=[1, 2, 3])
scores = tf.minimum(scores / tf.to_float(k), 1)
# every sample count
weights = tf.ones(tf.shape(scores), dtype=tf.float32)
return scores, weights
|
python
|
def multilabel_accuracy_matchk(predictions,
labels,
k,
weights_fn=common_layers.weights_nonzero):
"""Used to evaluate the VQA accuracy.
Let n be the times that predictions appear in labels, then final score
is min(n/k, 1).
Refer to https://arxiv.org/pdf/1505.00468.pdf.
Args:
predictions: A tensor with shape [batch_size, 1, 1, 1, vocab_size].
labels: A tensor with shape [batch_size, length, 1, 1].
k: A tensor constant.
weights_fn: weight function.
Returns:
scores: min(n/k, 1).
weights: returns all ones.
"""
predictions = tf.to_int32(tf.argmax(predictions, axis=-1))
scores = tf.to_float(tf.equal(predictions, labels))
# those label == 0 do not count
weights = weights_fn(labels)
scores *= weights
scores = tf.reduce_sum(scores, axis=[1, 2, 3])
scores = tf.minimum(scores / tf.to_float(k), 1)
# every sample count
weights = tf.ones(tf.shape(scores), dtype=tf.float32)
return scores, weights
|
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Used to evaluate the VQA accuracy.
Let n be the times that predictions appear in labels, then final score
is min(n/k, 1).
Refer to https://arxiv.org/pdf/1505.00468.pdf.
Args:
predictions: A tensor with shape [batch_size, 1, 1, 1, vocab_size].
labels: A tensor with shape [batch_size, length, 1, 1].
k: A tensor constant.
weights_fn: weight function.
Returns:
scores: min(n/k, 1).
weights: returns all ones.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L313-L343
|
train
|
Used to evaluate the VQA accuracy.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b11110 + 0o121) + chr(1562 - 1513) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(6289 - 6178) + chr(0b110010) + chr(1770 - 1721) + chr(0b1100 + 0o51), 56464 - 56456), ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + '\x35' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(0b110011) + '\x37' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(54) + '\067', 49753 - 49745), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + '\062' + '\061' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1001101 + 0o42) + chr(1970 - 1920) + chr(0b100011 + 0o17) + chr(0b1111 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1677 - 1626) + chr(53) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1010111 + 0o30) + chr(945 - 895) + '\065' + chr(53), 13683 - 13675), ehT0Px3KOsy9(chr(1886 - 1838) + '\157' + chr(0b110011) + '\x37' + chr(0b1101 + 0o45), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\066' + chr(2012 - 1959), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1986 - 1937) + chr(0b11000 + 0o33) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10977 - 10866) + '\062' + '\065' + chr(50), 35539 - 35531), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b11100 + 0o123) + chr(1335 - 1284) + chr(0b110010) + chr(0b100011 + 0o21), 0b1000), ehT0Px3KOsy9(chr(1180 - 1132) + '\x6f' + '\061' + '\061' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1274 - 1226) + '\x6f' + chr(0b100100 + 0o17) + chr(0b101001 + 0o15) + chr(927 - 879), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(0b110001) + chr(0b100010 + 0o16) + chr(0b11100 + 0o24), 0b1000), ehT0Px3KOsy9('\060' + chr(9810 - 9699) + chr(0b1110 + 0o45) + chr(0b100011 + 0o23) + chr(1068 - 1017), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(909 - 859) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10229 - 10118) + chr(0b11010 + 0o31) + '\061' + chr(272 - 222), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000111 + 0o50) + chr(1045 - 996) + chr(2560 - 2507) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(2473 - 2423) + chr(50) + '\063', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b100111 + 0o14) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + chr(2175 - 2120) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(330 - 275) + chr(1178 - 1129), ord("\x08")), ehT0Px3KOsy9(chr(1775 - 1727) + '\157' + chr(50) + chr(50) + '\x35', 0o10), ehT0Px3KOsy9(chr(1057 - 1009) + chr(0b1101111) + chr(1832 - 1782) + '\x34' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\065' + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011 + 0o2) + '\x31', 8), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(1643 - 1594) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(55) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101100 + 0o103) + chr(0b110010) + chr(48) + chr(55), 47814 - 47806), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b101 + 0o57) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\062' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1946 - 1897) + chr(0b110000) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b110110) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2401 - 2349) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4573 - 4462) + chr(0b1100 + 0o47) + chr(1296 - 1245), 58821 - 58813), ehT0Px3KOsy9('\x30' + chr(111) + chr(1060 - 1010) + chr(2644 - 2590) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(0b10100 + 0o40) + chr(54), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + '\065' + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'!'), chr(0b11110 + 0o106) + '\145' + '\x63' + chr(111) + chr(100) + '\145')('\165' + chr(0b1110010 + 0o2) + chr(0b1100110) + chr(1560 - 1515) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MNOrY_xHHy3v(qIQi_VFCIFZL, uXMK81tmdpTM, OolUPRJhRaJd, Pdbc6Q2jZ4RQ=xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'x\xe8A\x9d_\xfe\xe4\xb3\xc3\x95[ \xcf\xa6#'), '\144' + chr(101) + chr(0b1100011) + '\x6f' + chr(100) + chr(5155 - 5054))(chr(0b1110101) + '\164' + chr(0b1100110) + '\055' + chr(2544 - 2488)))):
qIQi_VFCIFZL = IDJ2eXGCBCDu.to_int32(IDJ2eXGCBCDu.argmax(qIQi_VFCIFZL, axis=-ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + '\061', 0o10)))
b8rpGniBNUPr = IDJ2eXGCBCDu.ZUL3kHBGU8Uu(IDJ2eXGCBCDu.equal(qIQi_VFCIFZL, uXMK81tmdpTM))
ZurHTci57aXw = Pdbc6Q2jZ4RQ(uXMK81tmdpTM)
b8rpGniBNUPr *= ZurHTci57aXw
b8rpGniBNUPr = IDJ2eXGCBCDu.reduce_sum(b8rpGniBNUPr, axis=[ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + chr(1435 - 1386), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101110 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10287 - 10176) + '\063', ord("\x08"))])
b8rpGniBNUPr = IDJ2eXGCBCDu.minimum(b8rpGniBNUPr / IDJ2eXGCBCDu.ZUL3kHBGU8Uu(OolUPRJhRaJd), ehT0Px3KOsy9(chr(756 - 708) + chr(111) + '\061', 8))
ZurHTci57aXw = IDJ2eXGCBCDu.ones(IDJ2eXGCBCDu.nauYfLglTpcb(b8rpGniBNUPr), dtype=IDJ2eXGCBCDu.float32)
return (b8rpGniBNUPr, ZurHTci57aXw)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
set_precision
|
def set_precision(predictions, labels,
weights_fn=common_layers.weights_nonzero):
"""Precision of set predictions.
Args:
predictions : A Tensor of scores of shape [batch, nlabels].
labels: A Tensor of int32s giving true set elements,
of shape [batch, seq_length].
weights_fn: A function to weight the elements.
Returns:
hits: A Tensor of shape [batch, nlabels].
weights: A Tensor of shape [batch, nlabels].
"""
with tf.variable_scope("set_precision", values=[predictions, labels]):
labels = tf.squeeze(labels, [2, 3])
weights = weights_fn(labels)
labels = tf.one_hot(labels, predictions.shape[-1])
labels = tf.reduce_max(labels, axis=1)
labels = tf.cast(labels, tf.bool)
return tf.to_float(tf.equal(labels, predictions)), weights
|
python
|
def set_precision(predictions, labels,
weights_fn=common_layers.weights_nonzero):
"""Precision of set predictions.
Args:
predictions : A Tensor of scores of shape [batch, nlabels].
labels: A Tensor of int32s giving true set elements,
of shape [batch, seq_length].
weights_fn: A function to weight the elements.
Returns:
hits: A Tensor of shape [batch, nlabels].
weights: A Tensor of shape [batch, nlabels].
"""
with tf.variable_scope("set_precision", values=[predictions, labels]):
labels = tf.squeeze(labels, [2, 3])
weights = weights_fn(labels)
labels = tf.one_hot(labels, predictions.shape[-1])
labels = tf.reduce_max(labels, axis=1)
labels = tf.cast(labels, tf.bool)
return tf.to_float(tf.equal(labels, predictions)), weights
|
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Precision of set predictions.
Args:
predictions : A Tensor of scores of shape [batch, nlabels].
labels: A Tensor of int32s giving true set elements,
of shape [batch, seq_length].
weights_fn: A function to weight the elements.
Returns:
hits: A Tensor of shape [batch, nlabels].
weights: A Tensor of shape [batch, nlabels].
|
[
"Precision",
"of",
"set",
"predictions",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L351-L371
|
train
|
Precision of set predictions.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(1317 - 1265) + chr(0b100100 + 0o16), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110110) + chr(52), 12705 - 12697), ehT0Px3KOsy9(chr(296 - 248) + chr(0b1101111) + chr(742 - 693) + chr(52) + chr(0b10 + 0o57), 0o10), ehT0Px3KOsy9(chr(1275 - 1227) + '\x6f' + '\067' + chr(0b101111 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + chr(50) + '\x32' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\063' + chr(377 - 328), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110000), 9445 - 9437), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + chr(0b101 + 0o57) + chr(0b101001 + 0o10), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\060' + '\065', 0b1000), ehT0Px3KOsy9(chr(566 - 518) + chr(0b1101111) + '\x35' + '\066', 19049 - 19041), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(615 - 563) + chr(55), 58063 - 58055), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(1329 - 1275) + chr(0b100110 + 0o16), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11001 + 0o30) + '\x33' + chr(0b10110 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(0b1001 + 0o52) + chr(0b110101) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\064' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111000 + 0o67) + chr(2507 - 2456) + chr(1434 - 1381) + '\066', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b1 + 0o62) + chr(0b110111) + chr(0b11010 + 0o35), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\062', 50741 - 50733), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(1737 - 1689) + '\x36', 15842 - 15834), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(230 - 182) + chr(1537 - 1487), ord("\x08")), ehT0Px3KOsy9(chr(1773 - 1725) + chr(0b101001 + 0o106) + '\063' + chr(53) + chr(0b110000 + 0o6), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\066' + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\063' + chr(1564 - 1509), ord("\x08")), ehT0Px3KOsy9(chr(217 - 169) + chr(0b1101111) + chr(0b1001 + 0o52) + '\065' + chr(0b100 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(887 - 776) + '\x33' + '\x33' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(51) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(12111 - 12000) + '\065' + chr(54), 8), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(0b100100 + 0o17) + chr(51) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110101) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7854 - 7743) + chr(91 - 41) + '\063' + chr(49), 8), ehT0Px3KOsy9(chr(527 - 479) + chr(111) + '\063' + chr(0b110001) + chr(52), 48309 - 48301), ehT0Px3KOsy9(chr(2160 - 2112) + chr(0b1101001 + 0o6) + chr(53) + chr(54), 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(6698 - 6587) + '\x33' + chr(2718 - 2665) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1168 - 1120) + '\157' + chr(379 - 328) + chr(2380 - 2328) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\065' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(819 - 767) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b110001 + 0o3) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1236 - 1188) + chr(0b1101111) + '\061' + chr(55) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010011 + 0o34) + chr(0b100110 + 0o15) + chr(0b101100 + 0o5), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c'), chr(100) + '\145' + chr(986 - 887) + chr(3402 - 3291) + chr(9449 - 9349) + chr(4020 - 3919))(chr(117) + chr(4734 - 4618) + '\x66' + chr(0b11011 + 0o22) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def OCwiRgfktjbl(qIQi_VFCIFZL, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'UQ\x08\\\xf9\xed{~+A\xc9\x0e=\x9cL'), chr(5470 - 5370) + chr(0b1100101) + chr(5958 - 5859) + '\157' + chr(5913 - 5813) + '\145')(chr(0b1011111 + 0o26) + chr(0b111101 + 0o67) + chr(3640 - 3538) + chr(0b11 + 0o52) + '\x38'))):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'TU\x13R\xf0\xfbdD\x1a]\xc4\x1b(\x8b'), chr(0b1000000 + 0o44) + chr(101) + chr(99) + '\157' + '\144' + '\145')(chr(0b10001 + 0o144) + chr(0b1110100) + '\x66' + chr(0b11100 + 0o21) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'QQ\x15d\xe1\xebmB,]\xce\x1b6'), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + '\x64' + chr(101))('\x75' + '\x74' + '\x66' + '\x2d' + chr(0b111000)), values=[qIQi_VFCIFZL, uXMK81tmdpTM]):
uXMK81tmdpTM = IDJ2eXGCBCDu.squeeze(uXMK81tmdpTM, [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32', 8), ehT0Px3KOsy9(chr(1438 - 1390) + chr(7623 - 7512) + '\x33', 0o10)])
ZurHTci57aXw = Pdbc6Q2jZ4RQ(uXMK81tmdpTM)
uXMK81tmdpTM = IDJ2eXGCBCDu.Hq3fv4Yp0EhD(uXMK81tmdpTM, qIQi_VFCIFZL.nauYfLglTpcb[-ehT0Px3KOsy9(chr(1183 - 1135) + chr(111) + chr(0b110001), 48102 - 48094)])
uXMK81tmdpTM = IDJ2eXGCBCDu.reduce_max(uXMK81tmdpTM, axis=ehT0Px3KOsy9('\x30' + chr(10962 - 10851) + chr(0b101001 + 0o10), 8))
uXMK81tmdpTM = IDJ2eXGCBCDu.cast(uXMK81tmdpTM, IDJ2eXGCBCDu.bool)
return (xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'xa-\x08\xfa\xd1Jf\x10\x16\xf2\x01'), '\x64' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(9740 - 9640) + chr(4905 - 4804))(chr(0b1101111 + 0o6) + chr(2166 - 2050) + chr(102) + chr(0b101101) + chr(0b101110 + 0o12)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'GE\x14Z\xfd'), chr(0b1100100) + chr(101) + chr(0b1100 + 0o127) + '\157' + chr(100) + chr(101))(chr(0b10111 + 0o136) + chr(0b1100100 + 0o20) + chr(0b100101 + 0o101) + chr(0b101101) + chr(56)))(uXMK81tmdpTM, qIQi_VFCIFZL)), ZurHTci57aXw)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
image_summary
|
def image_summary(predictions, targets, hparams):
"""Reshapes predictions and passes it to tensorboard.
Args:
predictions : The predicted image (logits).
targets : The ground truth.
hparams: model hparams.
Returns:
summary_proto: containing the summary images.
weights: A Tensor of zeros of the same shape as predictions.
"""
del hparams
results = tf.cast(tf.argmax(predictions, axis=-1), tf.uint8)
gold = tf.cast(targets, tf.uint8)
summary1 = tf.summary.image("prediction", results, max_outputs=2)
summary2 = tf.summary.image("data", gold, max_outputs=2)
summary = tf.summary.merge([summary1, summary2])
return summary, tf.zeros_like(predictions)
|
python
|
def image_summary(predictions, targets, hparams):
"""Reshapes predictions and passes it to tensorboard.
Args:
predictions : The predicted image (logits).
targets : The ground truth.
hparams: model hparams.
Returns:
summary_proto: containing the summary images.
weights: A Tensor of zeros of the same shape as predictions.
"""
del hparams
results = tf.cast(tf.argmax(predictions, axis=-1), tf.uint8)
gold = tf.cast(targets, tf.uint8)
summary1 = tf.summary.image("prediction", results, max_outputs=2)
summary2 = tf.summary.image("data", gold, max_outputs=2)
summary = tf.summary.merge([summary1, summary2])
return summary, tf.zeros_like(predictions)
|
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] |
Reshapes predictions and passes it to tensorboard.
Args:
predictions : The predicted image (logits).
targets : The ground truth.
hparams: model hparams.
Returns:
summary_proto: containing the summary images.
weights: A Tensor of zeros of the same shape as predictions.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L396-L414
|
train
|
Reshapes predictions and passes it to tensorboard.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b11001 + 0o126) + chr(741 - 691) + chr(49) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(4753 - 4642) + chr(1067 - 1016) + chr(0b10001 + 0o43) + chr(52), 43579 - 43571), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(49) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + '\x35' + '\x36', 8435 - 8427), ehT0Px3KOsy9(chr(1395 - 1347) + chr(6006 - 5895) + '\061' + chr(0b110001) + '\065', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(311 - 261) + chr(0b11011 + 0o34) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(0b110001) + '\x34' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110000) + chr(2087 - 2035), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(883 - 772) + '\063' + chr(0b0 + 0o61) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(74 - 26) + '\157' + chr(49) + chr(582 - 531) + '\066', 26249 - 26241), ehT0Px3KOsy9(chr(48) + '\157' + chr(1959 - 1905) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1306 - 1257) + chr(50) + chr(0b1011 + 0o52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\064' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1837 - 1786) + chr(0b110010) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\067' + chr(0b101110 + 0o6), 55124 - 55116), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\062' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100011 + 0o15), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b11001 + 0o35) + chr(1760 - 1706), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(53) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(49) + chr(50) + '\066', 41483 - 41475), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(2219 - 2167) + chr(53), 52642 - 52634), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(4491 - 4380) + chr(51) + chr(0b110000) + '\062', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(0b110001) + chr(50) + '\063', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x36' + chr(694 - 641), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b100110 + 0o15), 55218 - 55210), ehT0Px3KOsy9(chr(1450 - 1402) + chr(0b101 + 0o152) + '\061' + chr(52) + '\060', 0o10), ehT0Px3KOsy9(chr(2281 - 2233) + chr(7129 - 7018) + chr(51) + chr(1425 - 1371) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(12145 - 12034) + '\061' + '\x37' + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11001 + 0o30) + '\x36' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(270 - 215) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1992 - 1939) + chr(2740 - 2687), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(766 - 717) + chr(51) + chr(1269 - 1215), 8), ehT0Px3KOsy9('\x30' + chr(2179 - 2068) + '\062' + '\x31' + chr(0b110001), 64946 - 64938), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10000 + 0o46) + chr(658 - 610), ord("\x08")), ehT0Px3KOsy9(chr(769 - 721) + '\157' + '\x33' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x34' + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(901 - 790) + chr(0b110010) + chr(50) + chr(0b110011), 21012 - 21004), ehT0Px3KOsy9('\x30' + chr(0b111010 + 0o65) + chr(0b110011) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(11676 - 11565) + chr(0b1001 + 0o51) + chr(2144 - 2093) + chr(0b110010), 40243 - 40235), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(11525 - 11414) + chr(49) + chr(49) + '\067', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(4044 - 3933) + chr(0b10110 + 0o37) + '\060', 64196 - 64188)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4'), '\x64' + chr(5776 - 5675) + chr(6634 - 6535) + '\157' + '\x64' + chr(0b10100 + 0o121))(chr(0b1110101) + chr(116) + chr(102) + chr(0b100001 + 0o14) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Mp4R7_cIjA85(qIQi_VFCIFZL, xIEmRseySp3z, n4ljua2gi1Pr):
del n4ljua2gi1Pr
iIGKX2zSEGYP = IDJ2eXGCBCDu.cast(IDJ2eXGCBCDu.argmax(qIQi_VFCIFZL, axis=-ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31', 0o10)), IDJ2eXGCBCDu.uint8)
engLn_Bmu8eW = IDJ2eXGCBCDu.cast(xIEmRseySp3z, IDJ2eXGCBCDu.uint8)
oVZ4kWypHsz4 = IDJ2eXGCBCDu.summary.IdmAHWfCqrnp(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\x96\xeaJ$\xde\x15-\xa00'), '\144' + chr(101) + chr(1924 - 1825) + chr(0b1010110 + 0o31) + chr(0b1100100) + chr(0b1100101))(chr(0b1000 + 0o155) + chr(0b1001100 + 0o50) + chr(4608 - 4506) + '\055' + chr(0b111000)), iIGKX2zSEGYP, max_outputs=ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b110010), 0o10))
B1FZwtXfF5Ep = IDJ2eXGCBCDu.summary.IdmAHWfCqrnp(xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x85\xfbO'), '\144' + chr(0b1100101) + chr(0b1000100 + 0o37) + chr(3637 - 3526) + '\x64' + chr(6310 - 6209))('\165' + chr(0b1110100) + '\146' + chr(1738 - 1693) + '\x38'), engLn_Bmu8eW, max_outputs=ehT0Px3KOsy9(chr(198 - 150) + chr(111) + chr(50), 8))
oLgyQ45ORWXM = IDJ2eXGCBCDu.summary.mP5l0dPhBkus([oVZ4kWypHsz4, B1FZwtXfF5Ep])
return (oLgyQ45ORWXM, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\x81\xfdA>\xe2\r-\xa4;'), chr(0b11011 + 0o111) + chr(7887 - 7786) + '\143' + chr(967 - 856) + chr(100) + '\145')(chr(0b1001011 + 0o52) + chr(116) + chr(102) + chr(1290 - 1245) + chr(0b111000)))(qIQi_VFCIFZL))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
softmax_cross_entropy_one_hot
|
def softmax_cross_entropy_one_hot(logits, labels, weights_fn=None):
"""Calculate softmax cross entropy given one-hot labels and logits.
Args:
logits: Tensor of size [batch-size, o=1, p=1, num-classes]
labels: Tensor of size [batch-size, o=1, p=1, num-classes]
weights_fn: Function that takes in labels and weighs examples (unused)
Returns:
cross-entropy (scalar), weights
"""
with tf.variable_scope("softmax_cross_entropy_one_hot",
values=[logits, labels]):
del weights_fn
cross_entropy = tf.losses.softmax_cross_entropy(
onehot_labels=labels, logits=logits)
return cross_entropy, tf.constant(1.0)
|
python
|
def softmax_cross_entropy_one_hot(logits, labels, weights_fn=None):
"""Calculate softmax cross entropy given one-hot labels and logits.
Args:
logits: Tensor of size [batch-size, o=1, p=1, num-classes]
labels: Tensor of size [batch-size, o=1, p=1, num-classes]
weights_fn: Function that takes in labels and weighs examples (unused)
Returns:
cross-entropy (scalar), weights
"""
with tf.variable_scope("softmax_cross_entropy_one_hot",
values=[logits, labels]):
del weights_fn
cross_entropy = tf.losses.softmax_cross_entropy(
onehot_labels=labels, logits=logits)
return cross_entropy, tf.constant(1.0)
|
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] |
Calculate softmax cross entropy given one-hot labels and logits.
Args:
logits: Tensor of size [batch-size, o=1, p=1, num-classes]
labels: Tensor of size [batch-size, o=1, p=1, num-classes]
weights_fn: Function that takes in labels and weighs examples (unused)
Returns:
cross-entropy (scalar), weights
|
[
"Calculate",
"softmax",
"cross",
"entropy",
"given",
"one",
"-",
"hot",
"labels",
"and",
"logits",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L417-L432
|
train
|
Calculate softmax cross entropy given one - hot labels and logits.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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', 48659 - 48651), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(51) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111111 + 0o60) + chr(0b110001) + chr(55) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(1607 - 1496) + chr(2248 - 2197) + chr(0b110001) + chr(2360 - 2308), ord("\x08")), ehT0Px3KOsy9(chr(1826 - 1778) + '\157' + chr(0b110001) + chr(0b1 + 0o64) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2284 - 2233) + '\x33' + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001 + 0o2) + '\067' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(54) + '\066', 22529 - 22521), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\062' + chr(0b0 + 0o60), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\062' + chr(560 - 505), ord("\x08")), ehT0Px3KOsy9(chr(313 - 265) + chr(0b1101111) + chr(50) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(54) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100000 + 0o22) + chr(52) + chr(0b100101 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b1001 + 0o50) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b110101) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010 + 0o0) + '\063' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\067' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + '\x32' + chr(50), 36571 - 36563), ehT0Px3KOsy9(chr(2000 - 1952) + '\x6f' + '\061' + chr(0b110101) + chr(48), 52308 - 52300), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(50) + chr(0b110000) + chr(0b100000 + 0o25), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\062' + chr(0b0 + 0o60) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(61 - 13) + chr(111) + chr(0b101011 + 0o10) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(1234 - 1123) + chr(0b110011) + chr(0b110010) + '\067', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(55) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7353 - 7242) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(1487 - 1437) + '\x34' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1221 - 1173) + '\x6f' + '\061' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x31' + chr(1618 - 1569), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\061' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b110010) + chr(509 - 459), 0b1000), ehT0Px3KOsy9(chr(2111 - 2063) + '\157' + '\062' + chr(0b110011 + 0o1), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(521 - 469) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101100 + 0o7) + '\x36' + '\x30', 8114 - 8106), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(1935 - 1881) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + chr(0b101110 + 0o3) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10101 + 0o35) + chr(49) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(2437 - 2326) + chr(50) + '\062' + '\064', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1001 + 0o50) + chr(0b1000 + 0o54) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x35' + '\x37', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11011 + 0o32) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'>'), '\x64' + '\x65' + chr(2461 - 2362) + '\x6f' + '\144' + '\145')('\x75' + chr(116) + '\x66' + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zcZCED0ZMj0I(wF9nmvjsKjYM, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=None):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'f\xb9\x0c\xa5\x08\xba\x97\xd3\xcf\xa4s\x1e\xd1\xa8'), chr(6868 - 6768) + chr(0b110011 + 0o62) + chr(0b1001110 + 0o25) + chr(0b11011 + 0o124) + chr(100) + '\145')(chr(117) + chr(0b1001001 + 0o53) + chr(0b1100001 + 0o5) + chr(0b101101) + chr(0b100 + 0o64)))(xafqLlk3kkUe(SXOLrMavuUCe(b'c\xb7\x18\xb8\x04\xb9\x83\xe9\xf3\xa5\x7f\x02\xd2\x92t\x83\xea\x0e}\x18\xfc\xdes\xb9YZ\xcfe\xbd'), '\x64' + chr(5590 - 5489) + '\x63' + chr(0b1101111) + chr(8879 - 8779) + '\x65')(chr(0b1110101) + chr(11489 - 11373) + chr(7819 - 7717) + '\x2d' + '\x38'), values=[wF9nmvjsKjYM, uXMK81tmdpTM]):
del Pdbc6Q2jZ4RQ
NqAwws_Iy2rK = IDJ2eXGCBCDu.losses.softmax_cross_entropy(onehot_labels=uXMK81tmdpTM, logits=wF9nmvjsKjYM)
return (NqAwws_Iy2rK, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b's\xb7\x10\xbf\x1d\xb9\x95\xc2'), '\144' + '\x65' + chr(0b1100011) + chr(111) + chr(0b111010 + 0o52) + chr(101))('\165' + chr(116) + chr(102) + chr(0b11 + 0o52) + chr(56)))(1.0))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
sigmoid_accuracy_one_hot
|
def sigmoid_accuracy_one_hot(logits, labels, weights_fn=None):
"""Calculate accuracy for a set, given one-hot labels and logits.
Args:
logits: Tensor of size [batch-size, o=1, p=1, num-classes]
labels: Tensor of size [batch-size, o=1, p=1, num-classes]
weights_fn: Function that takes in labels and weighs examples (unused)
Returns:
accuracy (scalar), weights
"""
with tf.variable_scope("sigmoid_accuracy_one_hot", values=[logits, labels]):
del weights_fn
predictions = tf.nn.sigmoid(logits)
labels = tf.argmax(labels, -1)
predictions = tf.argmax(predictions, -1)
_, accuracy = tf.metrics.accuracy(labels=labels, predictions=predictions)
return accuracy, tf.constant(1.0)
|
python
|
def sigmoid_accuracy_one_hot(logits, labels, weights_fn=None):
"""Calculate accuracy for a set, given one-hot labels and logits.
Args:
logits: Tensor of size [batch-size, o=1, p=1, num-classes]
labels: Tensor of size [batch-size, o=1, p=1, num-classes]
weights_fn: Function that takes in labels and weighs examples (unused)
Returns:
accuracy (scalar), weights
"""
with tf.variable_scope("sigmoid_accuracy_one_hot", values=[logits, labels]):
del weights_fn
predictions = tf.nn.sigmoid(logits)
labels = tf.argmax(labels, -1)
predictions = tf.argmax(predictions, -1)
_, accuracy = tf.metrics.accuracy(labels=labels, predictions=predictions)
return accuracy, tf.constant(1.0)
|
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Calculate accuracy for a set, given one-hot labels and logits.
Args:
logits: Tensor of size [batch-size, o=1, p=1, num-classes]
labels: Tensor of size [batch-size, o=1, p=1, num-classes]
weights_fn: Function that takes in labels and weighs examples (unused)
Returns:
accuracy (scalar), weights
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L435-L451
|
train
|
Calculate accuracy for a set given one - hot labels and logits.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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) + '\x33' + chr(52) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110010) + chr(0b111 + 0o52), 0o10), ehT0Px3KOsy9('\x30' + chr(8420 - 8309) + chr(55) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10111 + 0o40), 25676 - 25668), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10001 + 0o42) + chr(0b100011 + 0o24) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(2686 - 2575) + chr(860 - 806) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(55) + chr(86 - 34), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(1622 - 1511) + '\062' + '\063' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x36' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1980 - 1932) + chr(0b1101111) + chr(50) + chr(0b110011) + chr(49), 61567 - 61559), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b11100 + 0o24) + chr(979 - 924), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\x37' + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1111 + 0o44) + chr(0b110110) + chr(53), 0b1000), ehT0Px3KOsy9(chr(1802 - 1754) + '\157' + chr(1171 - 1122) + chr(0b110010) + chr(55), 30829 - 30821), ehT0Px3KOsy9('\060' + chr(0b1101010 + 0o5) + '\x32' + chr(0b110101) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7377 - 7266) + chr(51) + '\x34' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(0b1011 + 0o46) + chr(0b110001) + '\061', 17202 - 17194), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x33' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1697 - 1649) + '\x6f' + chr(2146 - 2096) + chr(990 - 937) + chr(2365 - 2312), 55021 - 55013), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(50) + chr(0b100 + 0o56) + '\x32', 43991 - 43983), ehT0Px3KOsy9('\x30' + chr(111) + chr(946 - 896) + chr(1327 - 1278) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x37' + '\060', 34941 - 34933), ehT0Px3KOsy9('\x30' + chr(0b1111 + 0o140) + chr(0b10011 + 0o44) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1138 - 1088) + chr(0b100111 + 0o13) + chr(0b0 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(381 - 328) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1100111 + 0o10) + chr(0b100111 + 0o12) + chr(54) + chr(0b110 + 0o60), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5663 - 5552) + chr(0b110001) + chr(0b110011 + 0o2) + chr(0b101110 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2726 - 2615) + chr(50) + chr(138 - 86) + '\065', 0o10), ehT0Px3KOsy9(chr(181 - 133) + chr(0b1101111) + chr(2008 - 1957) + '\x30' + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + chr(0b110011) + chr(249 - 200) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1003 - 955) + chr(0b1001100 + 0o43) + chr(0b11 + 0o63) + chr(646 - 598), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b110001) + chr(0b10011 + 0o35), 61800 - 61792), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\x37' + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(440 - 392) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100101 + 0o12) + chr(0b110010) + chr(52) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + '\x33' + chr(52) + chr(0b101000 + 0o10), 61825 - 61817), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(0b101100 + 0o7) + '\x31' + chr(0b101001 + 0o13), 18807 - 18799), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b11001 + 0o34) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1010111 + 0o30) + chr(49) + '\x31' + chr(54), 12741 - 12733)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b0 + 0o65) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8'), chr(100) + chr(2015 - 1914) + '\x63' + chr(111) + '\x64' + '\145')(chr(117) + '\x74' + '\x66' + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def UQOZqzf19Ntb(wF9nmvjsKjYM, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=None):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\xf0Hn\x9aP\x10\xffh\xea\xe4\x95\x852'), chr(100) + chr(0b1100101) + chr(0b1100001 + 0o2) + chr(6964 - 6853) + chr(0b0 + 0o144) + '\x65')('\165' + chr(3606 - 3490) + '\146' + chr(854 - 809) + chr(2004 - 1948)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x95\xf8]j\x94[\x18\xc5V\xfa\xe4\x8f\x876\xcd\x9b\x16\xb0\xc3\xf7\xd4\x90Q\xe0'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\144' + chr(6865 - 6764))(chr(0b1110101) + chr(5154 - 5038) + chr(0b1100110) + '\055' + '\070'), values=[wF9nmvjsKjYM, uXMK81tmdpTM]):
del Pdbc6Q2jZ4RQ
qIQi_VFCIFZL = IDJ2eXGCBCDu.nn.sigmoid(wF9nmvjsKjYM)
uXMK81tmdpTM = IDJ2eXGCBCDu.argmax(uXMK81tmdpTM, -ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\061', 0o10))
qIQi_VFCIFZL = IDJ2eXGCBCDu.argmax(qIQi_VFCIFZL, -ehT0Px3KOsy9(chr(377 - 329) + '\x6f' + '\x31', 8))
(VNGQdHSFPrso, Nb7fObKn_ZBQ) = IDJ2eXGCBCDu.metrics.accuracy(labels=uXMK81tmdpTM, predictions=qIQi_VFCIFZL)
return (Nb7fObKn_ZBQ, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85\xfeTt\x8fS\x12\xee'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + chr(0b1001110 + 0o26) + '\145')('\165' + chr(116) + chr(102) + chr(1880 - 1835) + '\x38'))(1.0))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
sigmoid_recall_one_hot
|
def sigmoid_recall_one_hot(logits, labels, weights_fn=None):
"""Calculate recall for a set, given one-hot labels and logits.
Predictions are converted to one-hot,
as predictions[example][arg-max(example)] = 1
Args:
logits: Tensor of size [batch-size, o=1, p=1, num-classes]
labels: Tensor of size [batch-size, o=1, p=1, num-classes]
weights_fn: Function that takes in labels and weighs examples (unused)
Returns:
recall (scalar), weights
"""
with tf.variable_scope("sigmoid_recall_one_hot", values=[logits, labels]):
del weights_fn
num_classes = logits.shape[-1]
predictions = tf.nn.sigmoid(logits)
predictions = tf.argmax(predictions, -1)
predictions = tf.one_hot(predictions, num_classes)
_, recall = tf.metrics.recall(labels=labels, predictions=predictions)
return recall, tf.constant(1.0)
|
python
|
def sigmoid_recall_one_hot(logits, labels, weights_fn=None):
"""Calculate recall for a set, given one-hot labels and logits.
Predictions are converted to one-hot,
as predictions[example][arg-max(example)] = 1
Args:
logits: Tensor of size [batch-size, o=1, p=1, num-classes]
labels: Tensor of size [batch-size, o=1, p=1, num-classes]
weights_fn: Function that takes in labels and weighs examples (unused)
Returns:
recall (scalar), weights
"""
with tf.variable_scope("sigmoid_recall_one_hot", values=[logits, labels]):
del weights_fn
num_classes = logits.shape[-1]
predictions = tf.nn.sigmoid(logits)
predictions = tf.argmax(predictions, -1)
predictions = tf.one_hot(predictions, num_classes)
_, recall = tf.metrics.recall(labels=labels, predictions=predictions)
return recall, tf.constant(1.0)
|
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] |
Calculate recall for a set, given one-hot labels and logits.
Predictions are converted to one-hot,
as predictions[example][arg-max(example)] = 1
Args:
logits: Tensor of size [batch-size, o=1, p=1, num-classes]
labels: Tensor of size [batch-size, o=1, p=1, num-classes]
weights_fn: Function that takes in labels and weighs examples (unused)
Returns:
recall (scalar), weights
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L477-L497
|
train
|
Calculate recall for a set given one - hot labels and logits.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(377 - 327) + chr(1422 - 1368) + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b100110 + 0o15) + '\063' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b101 + 0o152) + chr(639 - 588) + chr(0b110100) + chr(1024 - 972), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\067' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(49) + chr(1374 - 1325) + chr(0b101001 + 0o12), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\063' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11849 - 11738) + chr(51) + chr(0b10101 + 0o42) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(0b101111 + 0o2) + chr(48) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + '\062' + '\x31' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11000 + 0o32) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(8293 - 8182) + '\065' + '\060', 12050 - 12042), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110100) + chr(988 - 938), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + chr(51) + chr(53) + chr(0b1101 + 0o45), 18434 - 18426), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11000 + 0o32) + chr(60 - 6) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(49) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + '\x31' + '\x37' + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110110) + chr(1681 - 1632), 6353 - 6345), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(1376 - 1323) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\x30' + chr(0b110010), 47445 - 47437), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\066' + chr(0b11010 + 0o26), 15571 - 15563), ehT0Px3KOsy9(chr(1830 - 1782) + chr(0b1000010 + 0o55) + '\x33' + chr(51) + chr(0b10111 + 0o34), 0b1000), ehT0Px3KOsy9('\x30' + chr(11989 - 11878) + '\062' + '\x32' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(0b110001) + '\060' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8853 - 8742) + '\061' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(90 - 42) + chr(1369 - 1317), 20274 - 20266), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(64 - 14) + chr(51) + chr(760 - 708), 0b1000), ehT0Px3KOsy9('\x30' + chr(2498 - 2387) + '\063' + chr(54) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(873 - 762) + '\x32' + chr(49) + chr(162 - 112), 8), ehT0Px3KOsy9(chr(992 - 944) + '\157' + chr(1330 - 1281) + chr(0b110000) + chr(54), 2138 - 2130), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1110 + 0o45) + '\x31' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(55) + chr(49), 8), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\064' + '\067', 14204 - 14196), ehT0Px3KOsy9(chr(965 - 917) + '\157' + '\x33' + '\x35' + chr(0b101110 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(49) + chr(0b10101 + 0o41) + chr(2818 - 2764), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5112 - 5001) + chr(0b110010) + '\065', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(4889 - 4778) + '\061' + '\063' + chr(519 - 470), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(244 - 195) + chr(0b11001 + 0o36), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(573 - 524) + '\063' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(75 - 26) + chr(49) + chr(0b10100 + 0o42), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b110101 + 0o0) + chr(0b11001 + 0o27), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x99'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b11010 + 0o125) + chr(0b1011100 + 0o10) + chr(0b11001 + 0o114))('\x75' + chr(12521 - 12405) + chr(0b11011 + 0o113) + '\055' + chr(0b10011 + 0o45)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RJM98hTKddy4(wF9nmvjsKjYM, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=None):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\xbd\x96\xd4*\xf8\x95%\xd5`K\x8d\x9ae'), chr(0b1100100) + chr(101) + '\x63' + '\157' + '\x64' + '\145')('\x75' + chr(0b1110100) + chr(3320 - 3218) + chr(45) + chr(0b110001 + 0o7)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\xb5\x83\xd0$\xf3\x9d\x1f\xf8vK\x83\x86l\xec\xe1\x17\x14u\xea\xdf\xaf'), chr(100) + '\145' + chr(0b11101 + 0o106) + chr(0b1011001 + 0o26) + chr(8410 - 8310) + chr(2743 - 2642))(chr(117) + '\164' + chr(3611 - 3509) + chr(1952 - 1907) + '\070'), values=[wF9nmvjsKjYM, uXMK81tmdpTM]):
del Pdbc6Q2jZ4RQ
i6loyAgxUM2t = wF9nmvjsKjYM.nauYfLglTpcb[-ehT0Px3KOsy9(chr(0b110000) + chr(11141 - 11030) + '\061', 18463 - 18455)]
qIQi_VFCIFZL = IDJ2eXGCBCDu.nn.sigmoid(wF9nmvjsKjYM)
qIQi_VFCIFZL = IDJ2eXGCBCDu.argmax(qIQi_VFCIFZL, -ehT0Px3KOsy9(chr(48) + chr(3000 - 2889) + chr(1985 - 1936), 8))
qIQi_VFCIFZL = IDJ2eXGCBCDu.Hq3fv4Yp0EhD(qIQi_VFCIFZL, i6loyAgxUM2t)
(VNGQdHSFPrso, mmdmvtGtAwiM) = IDJ2eXGCBCDu.metrics.recall(labels=uXMK81tmdpTM, predictions=qIQi_VFCIFZL)
return (mmdmvtGtAwiM, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xb3\x8a\xce?\xfb\x974'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(8104 - 7993) + '\144' + chr(0b1100101))(chr(117) + chr(0b1110100) + '\146' + chr(198 - 153) + chr(0b111000)))(1.0))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
sigmoid_cross_entropy_one_hot
|
def sigmoid_cross_entropy_one_hot(logits, labels, weights_fn=None):
"""Calculate sigmoid cross entropy for one-hot lanels and logits.
Args:
logits: Tensor of size [batch-size, o=1, p=1, num-classes]
labels: Tensor of size [batch-size, o=1, p=1, num-classes]
weights_fn: Function that takes in labels and weighs examples (unused)
Returns:
cross_entropy (scalar), weights
"""
with tf.variable_scope("sigmoid_cross_entropy_one_hot",
values=[logits, labels]):
del weights_fn
cross_entropy = tf.losses.sigmoid_cross_entropy(
multi_class_labels=labels, logits=logits)
return cross_entropy, tf.constant(1.0)
|
python
|
def sigmoid_cross_entropy_one_hot(logits, labels, weights_fn=None):
"""Calculate sigmoid cross entropy for one-hot lanels and logits.
Args:
logits: Tensor of size [batch-size, o=1, p=1, num-classes]
labels: Tensor of size [batch-size, o=1, p=1, num-classes]
weights_fn: Function that takes in labels and weighs examples (unused)
Returns:
cross_entropy (scalar), weights
"""
with tf.variable_scope("sigmoid_cross_entropy_one_hot",
values=[logits, labels]):
del weights_fn
cross_entropy = tf.losses.sigmoid_cross_entropy(
multi_class_labels=labels, logits=logits)
return cross_entropy, tf.constant(1.0)
|
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] |
Calculate sigmoid cross entropy for one-hot lanels and logits.
Args:
logits: Tensor of size [batch-size, o=1, p=1, num-classes]
labels: Tensor of size [batch-size, o=1, p=1, num-classes]
weights_fn: Function that takes in labels and weighs examples (unused)
Returns:
cross_entropy (scalar), weights
|
[
"Calculate",
"sigmoid",
"cross",
"entropy",
"for",
"one",
"-",
"hot",
"lanels",
"and",
"logits",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L500-L515
|
train
|
Calculate sigmoid cross entropy for one - hot lanels and logits.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2094 - 2046) + chr(0b1101011 + 0o4) + '\062' + chr(52), 45171 - 45163), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110001) + chr(0b10000 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(0b110010) + '\064' + '\x34', 30828 - 30820), ehT0Px3KOsy9('\060' + '\157' + chr(2127 - 2077) + chr(0b110111) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(1718 - 1667) + chr(0b100101 + 0o16), 8940 - 8932), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(49) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(769 - 718) + chr(0b110001 + 0o3) + '\061', 43734 - 43726), ehT0Px3KOsy9(chr(325 - 277) + chr(111) + chr(1825 - 1774) + chr(0b110000) + '\063', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(2517 - 2466) + chr(0b110101) + chr(51), 13122 - 13114), ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + chr(0b101011 + 0o6) + '\067' + '\062', 37526 - 37518), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(477 - 422) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1 + 0o61) + chr(0b110011) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b101 + 0o61) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(48) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x37' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\x31', 7309 - 7301), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11111 + 0o27) + chr(1309 - 1261), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1085 - 1037) + chr(111) + chr(0b110010) + '\x36', 18518 - 18510), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101111 + 0o3) + chr(0b110001) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1273 - 1225) + chr(111) + chr(0b1110 + 0o45) + chr(2004 - 1956) + chr(51), 8), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(503 - 392) + '\063' + chr(0b110010) + chr(0b110001 + 0o5), 7246 - 7238), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1364 - 1316) + chr(0b1000001 + 0o56) + '\063' + '\x32' + chr(1903 - 1855), ord("\x08")), ehT0Px3KOsy9(chr(614 - 566) + chr(4051 - 3940) + '\064' + chr(0b110111), 6237 - 6229), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\x33' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9077 - 8966) + '\063' + chr(0b1101 + 0o45), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\x32' + chr(0b11011 + 0o33), 0b1000), ehT0Px3KOsy9(chr(1904 - 1856) + chr(2951 - 2840) + '\061' + chr(0b110100) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1352 - 1304) + chr(0b1000000 + 0o57) + chr(574 - 525) + '\x35' + chr(1569 - 1520), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\063' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(1373 - 1324) + '\x31' + '\067', 8), ehT0Px3KOsy9(chr(48) + chr(0b100001 + 0o116) + chr(49) + chr(50) + chr(0b100 + 0o62), 37563 - 37555), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b110101 + 0o72) + chr(0b11011 + 0o30) + '\063' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110010) + '\x36', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b111 + 0o56) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101 + 0o142) + chr(1091 - 1042) + chr(0b11100 + 0o24) + chr(0b100000 + 0o25), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b10110 + 0o35) + chr(0b10010 + 0o36), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b1000 + 0o52), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(1029 - 918) + chr(0b110101) + '\060', 50403 - 50395)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b':'), '\144' + '\x65' + chr(0b111111 + 0o44) + chr(0b100010 + 0o115) + '\x64' + chr(9707 - 9606))(chr(117) + '\x74' + '\146' + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def QhFjHXeVubBc(wF9nmvjsKjYM, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=None):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'b.\xd6\xd4\xba*\x8d\xa6\xb4\t\xdf\xf0\x05\xa0'), chr(8270 - 8170) + '\x65' + chr(0b111011 + 0o50) + '\157' + chr(0b1100100) + chr(5051 - 4950))(chr(117) + '\x74' + chr(3777 - 3675) + chr(45) + chr(330 - 274)))(xafqLlk3kkUe(SXOLrMavuUCe(b'g&\xc3\xd0\xb4!\x85\x9c\x88\x08\xd3\xec\x06\x9a^\x7fDry\xfa\xba\x89`\xbeBQ5u\xe2'), '\x64' + chr(0b1100010 + 0o3) + chr(4983 - 4884) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1101100 + 0o10) + '\146' + chr(0b10100 + 0o31) + chr(56)), values=[wF9nmvjsKjYM, uXMK81tmdpTM]):
del Pdbc6Q2jZ4RQ
NqAwws_Iy2rK = IDJ2eXGCBCDu.losses.sigmoid_cross_entropy(multi_class_labels=uXMK81tmdpTM, logits=wF9nmvjsKjYM)
return (NqAwws_Iy2rK, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'w \xca\xce\xaf)\x8f\xb7'), chr(0b1100100) + chr(0b11001 + 0o114) + '\143' + chr(1580 - 1469) + '\144' + chr(0b1011011 + 0o12))(chr(0b1100000 + 0o25) + chr(0b1101000 + 0o14) + chr(102) + chr(1117 - 1072) + chr(0b10011 + 0o45)))(1.0))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
roc_auc
|
def roc_auc(logits, labels, weights_fn=None):
"""Calculate ROC AUC.
Requires binary classes.
Args:
logits: Tensor of size [batch_size, 1, 1, num_classes]
labels: Tensor of size [batch_size, 1, 1, num_classes]
weights_fn: Function that takes in labels and weighs examples (unused)
Returns:
ROC AUC (scalar), weights
"""
del weights_fn
with tf.variable_scope("roc_auc", values=[logits, labels]):
predictions = tf.argmax(logits, axis=-1)
_, auc = tf.metrics.auc(labels, predictions, curve="ROC")
return auc, tf.constant(1.0)
|
python
|
def roc_auc(logits, labels, weights_fn=None):
"""Calculate ROC AUC.
Requires binary classes.
Args:
logits: Tensor of size [batch_size, 1, 1, num_classes]
labels: Tensor of size [batch_size, 1, 1, num_classes]
weights_fn: Function that takes in labels and weighs examples (unused)
Returns:
ROC AUC (scalar), weights
"""
del weights_fn
with tf.variable_scope("roc_auc", values=[logits, labels]):
predictions = tf.argmax(logits, axis=-1)
_, auc = tf.metrics.auc(labels, predictions, curve="ROC")
return auc, tf.constant(1.0)
|
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"\"ROC\"",
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] |
Calculate ROC AUC.
Requires binary classes.
Args:
logits: Tensor of size [batch_size, 1, 1, num_classes]
labels: Tensor of size [batch_size, 1, 1, num_classes]
weights_fn: Function that takes in labels and weighs examples (unused)
Returns:
ROC AUC (scalar), weights
|
[
"Calculate",
"ROC",
"AUC",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L518-L534
|
train
|
Calculate ROC AUC.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(693 - 638) + chr(513 - 461), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(52) + chr(0b110100 + 0o1), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(2771 - 2716) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + '\063' + chr(2303 - 2254) + chr(0b110111), 40230 - 40222), ehT0Px3KOsy9('\x30' + chr(4207 - 4096) + '\x31' + chr(1351 - 1303) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1110 + 0o141) + chr(50) + '\064', 0o10), ehT0Px3KOsy9(chr(1970 - 1922) + '\157' + chr(0b11010 + 0o31) + '\065' + chr(2453 - 2403), 22102 - 22094), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b110100) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1509 - 1461) + '\157' + chr(1219 - 1169) + chr(48) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101000 + 0o7) + chr(0b1010 + 0o51) + chr(0b1 + 0o62) + '\063', 4822 - 4814), ehT0Px3KOsy9('\x30' + chr(5530 - 5419) + chr(0b110001) + chr(0b110101) + chr(0b1010 + 0o51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1797 - 1747) + chr(0b11111 + 0o23) + '\062', 60055 - 60047), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001 + 0o5) + chr(0b110101), 26189 - 26181), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1525 - 1475) + chr(0b110100) + chr(2246 - 2198), ord("\x08")), ehT0Px3KOsy9(chr(61 - 13) + '\157' + chr(0b101000 + 0o11) + '\x37' + '\060', 0b1000), ehT0Px3KOsy9(chr(84 - 36) + chr(0b10000 + 0o137) + chr(52) + chr(1466 - 1414), ord("\x08")), ehT0Px3KOsy9(chr(1134 - 1086) + '\x6f' + chr(0b110001) + '\x32' + '\067', 18747 - 18739), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(396 - 347) + chr(0b110010 + 0o2) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + '\062' + '\065' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(2324 - 2272) + chr(54), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(2263 - 2213) + chr(0b11011 + 0o25) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1315 - 1267) + chr(0b1101110 + 0o1) + chr(51) + chr(54) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\x35' + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2199 - 2150) + chr(49) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(971 - 921) + chr(54) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110100) + chr(0b101101 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(568 - 518), 31011 - 31003), ehT0Px3KOsy9('\060' + chr(9638 - 9527) + chr(0b101 + 0o62) + chr(48), 27356 - 27348), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(553 - 442) + chr(0b100110 + 0o13) + chr(2323 - 2274), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\x31' + '\x34' + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(146 - 97) + chr(0b110111), 30210 - 30202), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b110000 + 0o6) + '\x31', 45 - 37), ehT0Px3KOsy9(chr(702 - 654) + chr(111) + chr(0b111 + 0o54) + chr(52) + chr(53), 31955 - 31947), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x32' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(9058 - 8947) + '\x33' + chr(0b1 + 0o64) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x34' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(376 - 328) + '\x6f' + chr(0b110011) + chr(0b110101) + chr(49), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b100111 + 0o14) + chr(52), 11566 - 11558), ehT0Px3KOsy9(chr(1304 - 1256) + chr(2354 - 2243) + '\x32' + chr(0b101011 + 0o12) + chr(52), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1694 - 1646) + chr(0b1101111) + '\x35' + chr(0b110000), 45929 - 45921)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x12'), chr(0b111000 + 0o54) + chr(4105 - 4004) + '\x63' + chr(6920 - 6809) + '\x64' + '\x65')(chr(0b1110101) + '\x74' + chr(0b101110 + 0o70) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def oW0mYW3h3Hjx(wF9nmvjsKjYM, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=None):
del Pdbc6Q2jZ4RQ
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'J\xc4t\x93\xae$x\x8f>\xf7\xb8\x04\xe2P'), chr(0b1100100) + chr(101) + chr(0b10001 + 0o122) + chr(10422 - 10311) + chr(100) + chr(101))(chr(117) + chr(0b111000 + 0o74) + chr(0b1001101 + 0o31) + chr(103 - 58) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'N\xcae\xa5\xae3w'), chr(3562 - 3462) + chr(0b1100101) + '\143' + chr(111) + '\144' + chr(0b101100 + 0o71))(chr(0b1110101) + '\164' + '\146' + chr(45) + chr(56)), values=[wF9nmvjsKjYM, uXMK81tmdpTM]):
qIQi_VFCIFZL = IDJ2eXGCBCDu.argmax(wF9nmvjsKjYM, axis=-ehT0Px3KOsy9('\x30' + '\157' + chr(81 - 32), 0o10))
(VNGQdHSFPrso, mGHpkHat2QnL) = IDJ2eXGCBCDu.metrics.auc(uXMK81tmdpTM, qIQi_VFCIFZL, curve=xafqLlk3kkUe(SXOLrMavuUCe(b'n\xeaE'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(4723 - 4606) + '\x74' + chr(0b1100110) + chr(0b101101) + '\070'))
return (mGHpkHat2QnL, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b"_\xcah\x89\xbb'z\x9e"), '\144' + chr(0b10110 + 0o117) + chr(99) + chr(111) + chr(0b1100100) + '\145')(chr(0b1110010 + 0o3) + chr(0b1110100) + chr(102) + '\055' + chr(0b111000)))(1.0))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
create_evaluation_metrics
|
def create_evaluation_metrics(problems, model_hparams):
"""Creates the evaluation metrics for the model.
Args:
problems: List of Problem instances.
model_hparams: a set of hparams.
Returns:
dict<metric name, metric function>. The metric functions have signature
(Tensor predictions, features) -> (metric Tensor, update op), where features
is a dict with keys {targets}.
Raises:
ValueError: if the metrics specified by a problem are not recognized (i.e.
are not defined in the Metrics enum.
"""
def reduce_dimensions(predictions, labels):
"""Reduce dimensions for high-dimensional predictions and labels."""
# We will treat first dimensions as batch. One example are video frames.
if len(predictions.get_shape()) > 5:
predictions_shape = common_layers.shape_list(predictions)
predictions = tf.reshape(
predictions, [predictions_shape[0], predictions_shape[1], -1,
predictions_shape[-1]])
labels_shape = common_layers.shape_list(labels)
labels = tf.reshape(
labels, [labels_shape[0], labels_shape[1], -1])
return predictions, labels
def make_problem_specific_metric_fn(metric_fn, weights_fn):
"""Create a metric fn."""
def problem_metric_fn(predictions, features, labels):
"""Metric fn."""
# Send along the entire features dict if the metric fn has the kwarg
# "features".
kwargs = {}
args, _, keywords, _ = inspect.getargspec(metric_fn)
if ("features" in args) or keywords:
kwargs["features"] = features
predictions, labels = reduce_dimensions(predictions, labels)
scores, weights = metric_fn(predictions, labels,
weights_fn=weights_fn, **kwargs)
return tf.metrics.mean(scores, weights)
return problem_metric_fn
def make_image_wrapped_metric_fn(metric_fn):
"""Metric fn without tf.metrics.mean."""
def image_wrapped_metric_fn(predictions,
features,
labels,
weights_fn=common_layers.weights_all):
del weights_fn
del features
predictions, labels = reduce_dimensions(predictions, labels)
return metric_fn(predictions, labels, model_hparams)
return image_wrapped_metric_fn
def weights_fn_for_mp(problem_task_id):
return lambda x: common_layers.weights_multi_problem(x, problem_task_id)
eval_metrics = {}
for problem_instance in problems:
problem_name = problem_instance.name
if problem_instance.was_reversed:
problem_name += "_rev"
metrics = problem_instance.eval_metric_fns(model_hparams)
if hasattr(model_hparams.problem, "task_list"):
metrics = model_hparams.problem.eval_metric_fns(model_hparams)
tm = problem_instance.get_hparams(model_hparams).modality["targets"]
if not isinstance(tm, dict):
tm = {"targets": tm}
for target_name, modality in six.iteritems(tm):
weights_fn = model_hparams.weights_fn.get(
"targets",
modalities.get_weights_fn(modality))
if hasattr(model_hparams.problem, "task_list"):
ptid = problem_instance.task_id # pylint: disable=cell-var-from-loop
weights_fn = weights_fn_for_mp(ptid)
for metric, metric_fn in six.iteritems(metrics):
overload_eval_metric_name = getattr(
model_hparams, "overload_eval_metric_name", None)
if len(problems) == 1 and overload_eval_metric_name:
metric_name = "metrics-%s/%s/%s" % (
overload_eval_metric_name, target_name, metric)
else:
metric_name = "metrics-%s/%s/%s" % (problem_name, target_name, metric)
if metric == Metrics.IMAGE_SUMMARY:
eval_metrics[metric_name] = make_image_wrapped_metric_fn(metric_fn)
else:
eval_metrics[metric_name] = make_problem_specific_metric_fn(
metric_fn, weights_fn)
return eval_metrics
|
python
|
def create_evaluation_metrics(problems, model_hparams):
"""Creates the evaluation metrics for the model.
Args:
problems: List of Problem instances.
model_hparams: a set of hparams.
Returns:
dict<metric name, metric function>. The metric functions have signature
(Tensor predictions, features) -> (metric Tensor, update op), where features
is a dict with keys {targets}.
Raises:
ValueError: if the metrics specified by a problem are not recognized (i.e.
are not defined in the Metrics enum.
"""
def reduce_dimensions(predictions, labels):
"""Reduce dimensions for high-dimensional predictions and labels."""
# We will treat first dimensions as batch. One example are video frames.
if len(predictions.get_shape()) > 5:
predictions_shape = common_layers.shape_list(predictions)
predictions = tf.reshape(
predictions, [predictions_shape[0], predictions_shape[1], -1,
predictions_shape[-1]])
labels_shape = common_layers.shape_list(labels)
labels = tf.reshape(
labels, [labels_shape[0], labels_shape[1], -1])
return predictions, labels
def make_problem_specific_metric_fn(metric_fn, weights_fn):
"""Create a metric fn."""
def problem_metric_fn(predictions, features, labels):
"""Metric fn."""
# Send along the entire features dict if the metric fn has the kwarg
# "features".
kwargs = {}
args, _, keywords, _ = inspect.getargspec(metric_fn)
if ("features" in args) or keywords:
kwargs["features"] = features
predictions, labels = reduce_dimensions(predictions, labels)
scores, weights = metric_fn(predictions, labels,
weights_fn=weights_fn, **kwargs)
return tf.metrics.mean(scores, weights)
return problem_metric_fn
def make_image_wrapped_metric_fn(metric_fn):
"""Metric fn without tf.metrics.mean."""
def image_wrapped_metric_fn(predictions,
features,
labels,
weights_fn=common_layers.weights_all):
del weights_fn
del features
predictions, labels = reduce_dimensions(predictions, labels)
return metric_fn(predictions, labels, model_hparams)
return image_wrapped_metric_fn
def weights_fn_for_mp(problem_task_id):
return lambda x: common_layers.weights_multi_problem(x, problem_task_id)
eval_metrics = {}
for problem_instance in problems:
problem_name = problem_instance.name
if problem_instance.was_reversed:
problem_name += "_rev"
metrics = problem_instance.eval_metric_fns(model_hparams)
if hasattr(model_hparams.problem, "task_list"):
metrics = model_hparams.problem.eval_metric_fns(model_hparams)
tm = problem_instance.get_hparams(model_hparams).modality["targets"]
if not isinstance(tm, dict):
tm = {"targets": tm}
for target_name, modality in six.iteritems(tm):
weights_fn = model_hparams.weights_fn.get(
"targets",
modalities.get_weights_fn(modality))
if hasattr(model_hparams.problem, "task_list"):
ptid = problem_instance.task_id # pylint: disable=cell-var-from-loop
weights_fn = weights_fn_for_mp(ptid)
for metric, metric_fn in six.iteritems(metrics):
overload_eval_metric_name = getattr(
model_hparams, "overload_eval_metric_name", None)
if len(problems) == 1 and overload_eval_metric_name:
metric_name = "metrics-%s/%s/%s" % (
overload_eval_metric_name, target_name, metric)
else:
metric_name = "metrics-%s/%s/%s" % (problem_name, target_name, metric)
if metric == Metrics.IMAGE_SUMMARY:
eval_metrics[metric_name] = make_image_wrapped_metric_fn(metric_fn)
else:
eval_metrics[metric_name] = make_problem_specific_metric_fn(
metric_fn, weights_fn)
return eval_metrics
|
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] |
Creates the evaluation metrics for the model.
Args:
problems: List of Problem instances.
model_hparams: a set of hparams.
Returns:
dict<metric name, metric function>. The metric functions have signature
(Tensor predictions, features) -> (metric Tensor, update op), where features
is a dict with keys {targets}.
Raises:
ValueError: if the metrics specified by a problem are not recognized (i.e.
are not defined in the Metrics enum.
|
[
"Creates",
"the",
"evaluation",
"metrics",
"for",
"the",
"model",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L537-L638
|
train
|
Creates the evaluation metrics for the model.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(0b11010 + 0o27) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1817 - 1769) + chr(111) + chr(1426 - 1376) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(11698 - 11587) + chr(49) + chr(50) + '\064', 29140 - 29132), ehT0Px3KOsy9(chr(48) + chr(8801 - 8690) + chr(0b110001) + chr(0b101 + 0o61) + chr(1942 - 1894), 49793 - 49785), ehT0Px3KOsy9(chr(1915 - 1867) + chr(0b1101101 + 0o2) + chr(1393 - 1338) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1250 - 1201) + '\064' + chr(0b110101), 37064 - 37056), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(903 - 854) + '\x34' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1164 - 1116) + chr(6157 - 6046) + '\x31' + chr(1151 - 1096) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\066' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2248 - 2198) + chr(0b110001 + 0o5), 37674 - 37666), ehT0Px3KOsy9(chr(1416 - 1368) + chr(205 - 94) + chr(0b11 + 0o60) + '\x30' + chr(0b10011 + 0o40), 10422 - 10414), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b110111) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1686 - 1637) + chr(1456 - 1403) + chr(55), 0o10), ehT0Px3KOsy9(chr(236 - 188) + chr(0b110011 + 0o74) + chr(417 - 368) + chr(52) + '\065', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101011 + 0o6) + chr(0b110111) + '\067', 0b1000), ehT0Px3KOsy9(chr(2233 - 2185) + '\x6f' + chr(2488 - 2438) + '\x35' + chr(1266 - 1214), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + '\061' + '\x31' + chr(609 - 560), 0o10), ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + chr(0b110001) + chr(50) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(4571 - 4460) + chr(0b11100 + 0o25) + '\x30' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + chr(0b11110 + 0o24) + chr(55) + chr(0b110000), 23974 - 23966), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(352 - 301) + chr(50) + '\x36', 0o10), ehT0Px3KOsy9(chr(55 - 7) + chr(12162 - 12051) + chr(50) + chr(928 - 873) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101101 + 0o4) + '\x30' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(839 - 791) + '\157' + chr(0b1110 + 0o45) + '\062' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(7601 - 7490) + chr(0b1110 + 0o44) + chr(0b100 + 0o54) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(2114 - 2066) + chr(0b1101111) + chr(0b110001) + chr(48) + chr(0b1010 + 0o54), 0o10), ehT0Px3KOsy9('\x30' + chr(7288 - 7177) + chr(49) + chr(53) + '\061', 0b1000), ehT0Px3KOsy9(chr(135 - 87) + chr(347 - 236) + '\x33' + chr(0b10000 + 0o45) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1827 - 1779) + '\157' + chr(0b101111 + 0o3) + chr(0b110100) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5300 - 5189) + chr(0b110011) + '\x33' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + chr(1569 - 1519) + '\x31' + chr(0b110011), 43181 - 43173), ehT0Px3KOsy9('\060' + chr(0b101 + 0o152) + '\062' + '\x31', 60268 - 60260), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110011) + chr(0b11011 + 0o26), 45111 - 45103), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\x37' + chr(48), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2089 - 2035) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(2133 - 2085) + chr(111) + chr(0b10011 + 0o40) + chr(0b100011 + 0o21) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(614 - 565) + chr(0b0 + 0o61) + '\060', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b10110 + 0o40) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(2130 - 2075) + '\067', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b101011 + 0o104) + chr(0b110101) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'%'), chr(0b11000 + 0o114) + '\x65' + chr(99) + chr(0b110111 + 0o70) + '\x64' + '\x65')(chr(0b111010 + 0o73) + chr(6535 - 6419) + chr(102) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jzVXkKo9m2fM(Jcdr_dQEgT_C, tq24Tk6UZ6u1):
def tx3KsKB9PDnU(qIQi_VFCIFZL, uXMK81tmdpTM):
if c2A0yzQpDQB3(xafqLlk3kkUe(qIQi_VFCIFZL, xafqLlk3kkUe(SXOLrMavuUCe(b'lu /K\r\x05\x08\x92'), chr(3720 - 3620) + chr(7937 - 7836) + chr(0b111001 + 0o52) + chr(1233 - 1122) + chr(0b1100100) + chr(101))(chr(1635 - 1518) + chr(9665 - 9549) + '\x66' + chr(679 - 634) + chr(0b1110 + 0o52)))()) > ehT0Px3KOsy9(chr(2149 - 2101) + chr(111) + chr(0b110001 + 0o4), 0b1000):
JN0WaRxPEhJ1 = jSKPaHwSAfVv.shape_list(qIQi_VFCIFZL)
qIQi_VFCIFZL = IDJ2eXGCBCDu.reshape(qIQi_VFCIFZL, [JN0WaRxPEhJ1[ehT0Px3KOsy9('\060' + '\157' + '\x30', 51458 - 51450)], JN0WaRxPEhJ1[ehT0Px3KOsy9('\060' + '\157' + chr(1204 - 1155), ord("\x08"))], -ehT0Px3KOsy9(chr(1768 - 1720) + chr(111) + '\061', 8), JN0WaRxPEhJ1[-ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(49), 8)]])
bnLFymzHDhR_ = jSKPaHwSAfVv.shape_list(uXMK81tmdpTM)
uXMK81tmdpTM = IDJ2eXGCBCDu.reshape(uXMK81tmdpTM, [bnLFymzHDhR_[ehT0Px3KOsy9('\060' + chr(0b10000 + 0o137) + '\x30', 8)], bnLFymzHDhR_[ehT0Px3KOsy9(chr(48) + chr(9101 - 8990) + '\061', 8)], -ehT0Px3KOsy9('\x30' + chr(11473 - 11362) + '\x31', 8)])
return (qIQi_VFCIFZL, uXMK81tmdpTM)
def IoGv77MRkRG6(sncLXYohINcs, Pdbc6Q2jZ4RQ):
def gc7wiOIzkMcO(qIQi_VFCIFZL, EEf4r9nUvta_, uXMK81tmdpTM):
M8EIoTs2GJXE = {}
(kJDRfRhcZHjS, VNGQdHSFPrso, MvnGvXXUveIv, VNGQdHSFPrso) = kzXqv8ZZwm75.getargspec(sncLXYohINcs)
if xafqLlk3kkUe(SXOLrMavuUCe(b'mu5\x04M\x17\x01\x0b'), chr(1587 - 1487) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(100) + '\145')('\x75' + chr(116) + chr(0b1001110 + 0o30) + chr(45) + chr(0b11100 + 0o34)) in kJDRfRhcZHjS or MvnGvXXUveIv:
M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'mu5\x04M\x17\x01\x0b'), '\x64' + '\145' + chr(7145 - 7046) + chr(111) + chr(0b1010100 + 0o20) + chr(5599 - 5498))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + '\x38')] = EEf4r9nUvta_
(qIQi_VFCIFZL, uXMK81tmdpTM) = tx3KsKB9PDnU(qIQi_VFCIFZL, uXMK81tmdpTM)
(b8rpGniBNUPr, ZurHTci57aXw) = sncLXYohINcs(qIQi_VFCIFZL, uXMK81tmdpTM, weights_fn=Pdbc6Q2jZ4RQ, **M8EIoTs2GJXE)
return xafqLlk3kkUe(IDJ2eXGCBCDu.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'jZ<9L&;.\x96a\xaf\xca'), chr(0b1100100) + chr(0b1100101) + chr(2601 - 2502) + '\157' + chr(0b101110 + 0o66) + '\x65')(chr(0b1110101) + chr(3685 - 3569) + chr(4241 - 4139) + '\x2d' + chr(0b11011 + 0o35)))(b8rpGniBNUPr, ZurHTci57aXw)
return gc7wiOIzkMcO
def hmEoRn4SmUyR(sncLXYohINcs):
def yClfLyaxrUzs(qIQi_VFCIFZL, EEf4r9nUvta_, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b"|u=\x17P\x11\x17'\x96z\xaf"), '\x64' + chr(101) + '\143' + chr(8422 - 8311) + '\144' + chr(9504 - 9403))(chr(117) + '\x74' + '\146' + chr(0b101101) + '\070'))):
del Pdbc6Q2jZ4RQ
del EEf4r9nUvta_
(qIQi_VFCIFZL, uXMK81tmdpTM) = tx3KsKB9PDnU(qIQi_VFCIFZL, uXMK81tmdpTM)
return sncLXYohINcs(qIQi_VFCIFZL, uXMK81tmdpTM, tq24Tk6UZ6u1)
return yClfLyaxrUzs
def VmjC5fuAb_wX(EVG7ObBtR7iV):
return lambda OeWW0F1dBPRQ: xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b"|u=\x17P\x11\x17'\x9ac\xaf\xc9\x06:\x0f\xde&5.\xdd\xbb"), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + '\x64' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(10365 - 10263) + '\x2d' + chr(0b111000)))(OeWW0F1dBPRQ, EVG7ObBtR7iV)
gEY30c7K0x8W = {}
for J0oeh4iQ6JsF in Jcdr_dQEgT_C:
wezGpYDorAsK = J0oeh4iQ6JsF.AIvJRzLdDfgF
if xafqLlk3kkUe(J0oeh4iQ6JsF, xafqLlk3kkUe(SXOLrMavuUCe(b'Hf.$B\x07\x16M\xbaQ\xb9\x89'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b111000 + 0o54) + chr(0b1100101))(chr(10630 - 10513) + chr(3213 - 3097) + chr(0b1100110) + chr(0b101101) + chr(2779 - 2723))):
wezGpYDorAsK += xafqLlk3kkUe(SXOLrMavuUCe(b'Tb1\x06'), '\144' + chr(7629 - 7528) + chr(0b1100011) + chr(717 - 606) + chr(4101 - 4001) + chr(101))(chr(0b100110 + 0o117) + chr(12867 - 12751) + '\x66' + chr(45) + chr(339 - 283))
yYegMqDoSfs5 = J0oeh4iQ6JsF.eval_metric_fns(tq24Tk6UZ6u1)
if lot1PSoAwYhj(xafqLlk3kkUe(tq24Tk6UZ6u1, xafqLlk3kkUe(SXOLrMavuUCe(b'x_c\x15\t$;5\x98d\xf5\xec'), chr(0b1100100) + '\145' + chr(99) + '\x6f' + '\144' + chr(4792 - 4691))(chr(117) + chr(558 - 442) + chr(0b1100110) + '\x2d' + chr(507 - 451))), xafqLlk3kkUe(SXOLrMavuUCe(b"\x7fq'\x1bg\t\r\x0b\x83"), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(8111 - 8010))(chr(4786 - 4669) + chr(5524 - 5408) + chr(3632 - 3530) + chr(1483 - 1438) + '\070')):
yYegMqDoSfs5 = tq24Tk6UZ6u1.problem.eval_metric_fns(tq24Tk6UZ6u1)
eRf9A2XUYmmp = J0oeh4iQ6JsF.get_hparams(tq24Tk6UZ6u1).bYPswhysd3s2[xafqLlk3kkUe(SXOLrMavuUCe(b'\x7fq&\x17]\x11\x17'), chr(0b1100100) + '\145' + '\143' + chr(2473 - 2362) + chr(0b1010100 + 0o20) + chr(0b1100101))(chr(3302 - 3185) + '\x74' + '\x66' + '\x2d' + '\070')]
if not PlSM16l2KDPD(eRf9A2XUYmmp, wLqBDw8l0eIm):
eRf9A2XUYmmp = {xafqLlk3kkUe(SXOLrMavuUCe(b'\x7fq&\x17]\x11\x17'), chr(100) + chr(0b1001000 + 0o35) + chr(9396 - 9297) + '\x6f' + chr(100) + chr(0b1100101))(chr(0b111001 + 0o74) + chr(116) + chr(0b1110 + 0o130) + chr(45) + chr(0b111000)): eRf9A2XUYmmp}
for (ZAlZbLXB8cxa, bYPswhysd3s2) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'bd1\x02Q\x11\x01\x15\x84'), chr(2602 - 2502) + chr(0b110100 + 0o61) + chr(4665 - 4566) + '\157' + chr(0b1000001 + 0o43) + chr(101))(chr(0b1000001 + 0o64) + chr(0b1110100) + '\x66' + chr(1834 - 1789) + chr(56)))(eRf9A2XUYmmp):
Pdbc6Q2jZ4RQ = tq24Tk6UZ6u1.weights_fn.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x7fq&\x17]\x11\x17'), '\x64' + chr(0b1100101) + chr(4249 - 4150) + chr(111) + chr(0b1100100) + chr(101))(chr(0b10110 + 0o137) + chr(0b1010001 + 0o43) + '\146' + chr(1063 - 1018) + '\x38'), PuPeNl0CuqOQ.get_weights_fn(bYPswhysd3s2))
if lot1PSoAwYhj(xafqLlk3kkUe(tq24Tk6UZ6u1, xafqLlk3kkUe(SXOLrMavuUCe(b'x_c\x15\t$;5\x98d\xf5\xec'), chr(8844 - 8744) + chr(101) + chr(1307 - 1208) + chr(111) + '\x64' + '\x65')(chr(12033 - 11916) + chr(0b1110100) + '\x66' + '\055' + chr(611 - 555))), xafqLlk3kkUe(SXOLrMavuUCe(b"\x7fq'\x1bg\t\r\x0b\x83"), chr(8416 - 8316) + '\x65' + chr(0b1100011) + '\157' + chr(1009 - 909) + chr(0b1100101))('\165' + '\x74' + chr(5371 - 5269) + '\x2d' + chr(56))):
SrQZraEfIv89 = J0oeh4iQ6JsF.task_id
Pdbc6Q2jZ4RQ = VmjC5fuAb_wX(SrQZraEfIv89)
for (UyTbk4dY9zDl, sncLXYohINcs) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'bd1\x02Q\x11\x01\x15\x84'), '\144' + chr(101) + chr(0b1011 + 0o130) + '\157' + chr(7649 - 7549) + chr(101))(chr(809 - 692) + chr(0b1100011 + 0o21) + chr(0b11001 + 0o115) + '\055' + chr(0b111000)))(yYegMqDoSfs5):
eEsDOshuxZyA = xafqLlk3kkUe(tq24Tk6UZ6u1, xafqLlk3kkUe(SXOLrMavuUCe(b'df1\x02T\n\x05\x1c\xa8s\xb5\xdc\x03:\x12\xc9=%+\xdb\x89\xd4$\xb8\xe7'), chr(3897 - 3797) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1000110 + 0o36) + chr(101))(chr(117) + chr(0b1110100) + chr(0b11110 + 0o110) + '\055' + chr(56)), None)
if c2A0yzQpDQB3(Jcdr_dQEgT_C) == ehT0Px3KOsy9(chr(1632 - 1584) + chr(111) + '\x31', 8) and eEsDOshuxZyA:
Fk10FZM6EP2K = xafqLlk3kkUe(SXOLrMavuUCe(b'fu \x02Q\x06\x17U\xd2e\xec\x98\x1cJZ\xdf'), '\144' + chr(0b1001001 + 0o34) + chr(7961 - 7862) + '\157' + chr(0b101010 + 0o72) + '\145')(chr(0b1110101) + chr(9022 - 8906) + '\x66' + chr(45) + '\x38') % (eEsDOshuxZyA, ZAlZbLXB8cxa, UyTbk4dY9zDl)
else:
Fk10FZM6EP2K = xafqLlk3kkUe(SXOLrMavuUCe(b'fu \x02Q\x06\x17U\xd2e\xec\x98\x1cJZ\xdf'), chr(0b11 + 0o141) + chr(101) + chr(2701 - 2602) + '\157' + chr(5232 - 5132) + chr(0b1100101))('\x75' + chr(211 - 95) + chr(0b1100110) + '\x2d' + chr(2356 - 2300)) % (wezGpYDorAsK, ZAlZbLXB8cxa, UyTbk4dY9zDl)
if UyTbk4dY9zDl == xafqLlk3kkUe(pfmusuo0nu8b, xafqLlk3kkUe(SXOLrMavuUCe(b'B]\x157}:7-\xba[\x82\xef6'), '\x64' + chr(8527 - 8426) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(6223 - 6122))('\165' + '\164' + chr(0b1100110) + '\x2d' + chr(1888 - 1832))):
gEY30c7K0x8W[Fk10FZM6EP2K] = hmEoRn4SmUyR(sncLXYohINcs)
else:
gEY30c7K0x8W[Fk10FZM6EP2K] = IoGv77MRkRG6(sncLXYohINcs, Pdbc6Q2jZ4RQ)
return gEY30c7K0x8W
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
create_eager_metrics_for_problem
|
def create_eager_metrics_for_problem(problem, model_hparams):
"""See create_eager_metrics."""
metric_fns = problem.eval_metric_fns(model_hparams)
problem_hparams = problem.get_hparams(model_hparams)
target_modality = problem_hparams.modality["targets"]
weights_fn = model_hparams.weights_fn.get(
"targets",
modalities.get_weights_fn(target_modality))
return create_eager_metrics_internal(metric_fns, weights_fn=weights_fn)
|
python
|
def create_eager_metrics_for_problem(problem, model_hparams):
"""See create_eager_metrics."""
metric_fns = problem.eval_metric_fns(model_hparams)
problem_hparams = problem.get_hparams(model_hparams)
target_modality = problem_hparams.modality["targets"]
weights_fn = model_hparams.weights_fn.get(
"targets",
modalities.get_weights_fn(target_modality))
return create_eager_metrics_internal(metric_fns, weights_fn=weights_fn)
|
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"create_eager_metrics_for_problem",
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",",
"model_hparams",
")",
":",
"metric_fns",
"=",
"problem",
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"eval_metric_fns",
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"model_hparams",
")",
"problem_hparams",
"=",
"problem",
".",
"get_hparams",
"(",
"model_hparams",
")",
"target_modality",
"=",
"problem_hparams",
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"modality",
"[",
"\"targets\"",
"]",
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"=",
"model_hparams",
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"\"targets\"",
",",
"modalities",
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"get_weights_fn",
"(",
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")",
")",
"return",
"create_eager_metrics_internal",
"(",
"metric_fns",
",",
"weights_fn",
"=",
"weights_fn",
")"
] |
See create_eager_metrics.
|
[
"See",
"create_eager_metrics",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L641-L649
|
train
|
Create eager metrics for a problem.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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) + '\x6f' + '\067' + '\060', 0o10), ehT0Px3KOsy9(chr(746 - 698) + chr(111) + chr(165 - 113) + '\063', 59300 - 59292), ehT0Px3KOsy9('\060' + chr(111) + chr(1402 - 1353) + '\065' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\x34' + '\x30', 63126 - 63118), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b111101 + 0o62) + chr(0b111 + 0o53) + chr(49) + chr(329 - 281), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(0b11100 + 0o27) + chr(0b111 + 0o55) + chr(2755 - 2702), 0o10), ehT0Px3KOsy9(chr(2042 - 1994) + '\157' + chr(51) + chr(2332 - 2283) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + '\062' + chr(49) + '\066', 43402 - 43394), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100000 + 0o21) + '\x37' + chr(0b100 + 0o56), 0b1000), ehT0Px3KOsy9('\060' + chr(1579 - 1468) + chr(0b110101) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1166 - 1116) + chr(1210 - 1160) + chr(320 - 265), 0o10), ehT0Px3KOsy9('\060' + chr(9515 - 9404) + chr(0b110011) + chr(54) + chr(1395 - 1341), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(54) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + '\x34' + chr(54), 20735 - 20727), ehT0Px3KOsy9(chr(0b110000) + chr(0b1111 + 0o140) + chr(0b1011 + 0o51) + chr(0b110000), 59449 - 59441), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110110) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b110100) + chr(976 - 924), 0b1000), ehT0Px3KOsy9(chr(1640 - 1592) + chr(0b1010001 + 0o36) + chr(2018 - 1968) + '\064' + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + chr(10329 - 10218) + chr(0b110 + 0o53) + chr(0b1101 + 0o51) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + '\x33' + chr(0b110001) + chr(0b11101 + 0o31), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\060' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\x34' + chr(0b10000 + 0o44), 11907 - 11899), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b110001) + chr(0b1111 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7424 - 7313) + chr(1797 - 1748) + chr(0b110010) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\x36' + chr(0b110010), 4823 - 4815), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1001 + 0o51) + chr(500 - 447) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + '\x33' + chr(0b110000) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(945 - 894) + '\x37' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x30' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(8760 - 8649) + chr(0b100010 + 0o20) + '\063', 17096 - 17088), ehT0Px3KOsy9(chr(48) + '\157' + chr(2009 - 1955) + chr(1940 - 1890), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9618 - 9507) + '\x34' + chr(0b110110), 8), ehT0Px3KOsy9('\060' + chr(6285 - 6174) + '\x33' + '\x31' + '\x30', 46135 - 46127), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(0b1 + 0o66), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(2270 - 2216) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(105 - 55) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11809 - 11698) + chr(0b110100) + chr(0b110010), 35247 - 35239), ehT0Px3KOsy9(chr(48) + chr(7465 - 7354) + '\061' + chr(51) + chr(2304 - 2250), ord("\x08")), ehT0Px3KOsy9(chr(1807 - 1759) + chr(111) + chr(0b110101) + chr(0b1001 + 0o47), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x30' + chr(0b110010), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\065' + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x16'), '\x64' + chr(101) + '\143' + '\x6f' + chr(8912 - 8812) + '\145')(chr(0b1110101) + '\164' + chr(102) + chr(1304 - 1259) + chr(2849 - 2793)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VChREM8xuUjt(sO7e1A_Mor6Q, tq24Tk6UZ6u1):
Uc4uBbW4aU0j = sO7e1A_Mor6Q.eval_metric_fns(tq24Tk6UZ6u1)
sXqesioLf7Ji = sO7e1A_Mor6Q.get_hparams(tq24Tk6UZ6u1)
FfV_wqUqiesq = sXqesioLf7Ji.bYPswhysd3s2[xafqLlk3kkUe(SXOLrMavuUCe(b'LB\x1f\xc7\xed\x91\xbd'), chr(100) + chr(0b101111 + 0o66) + chr(0b100100 + 0o77) + chr(0b11000 + 0o127) + chr(0b1100100) + chr(2389 - 2288))(chr(117) + '\164' + '\x66' + chr(45) + '\070')]
Pdbc6Q2jZ4RQ = tq24Tk6UZ6u1.weights_fn.get(xafqLlk3kkUe(SXOLrMavuUCe(b'LB\x1f\xc7\xed\x91\xbd'), chr(0b11011 + 0o111) + '\145' + '\143' + chr(0b111 + 0o150) + chr(0b1100100) + '\145')(chr(11207 - 11090) + chr(0b1000110 + 0o56) + chr(0b1010 + 0o134) + chr(486 - 441) + chr(0b10010 + 0o46)), PuPeNl0CuqOQ.get_weights_fn(FfV_wqUqiesq))
return GsCissKtp255(Uc4uBbW4aU0j, weights_fn=Pdbc6Q2jZ4RQ)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
create_eager_metrics
|
def create_eager_metrics(metric_names, weights_fn=common_layers.weights_all):
"""Create metrics accumulators and averager for Eager mode.
Args:
metric_names: list<str> from Metrics enum
weights_fn: function that takes labels and returns a weights mask. Defaults
to weights of all 1, i.e. common_layers.weights_all. Use
common_layers.weights_nonzero if labels have 0-padding.
Returns:
(accum_fn(predictions, targets) => None,
result_fn() => dict<str metric_name, float avg_val>
"""
metric_fns = dict(
[(name, METRICS_FNS[name]) for name in metric_names])
return create_eager_metrics_internal(metric_fns, weights_fn)
|
python
|
def create_eager_metrics(metric_names, weights_fn=common_layers.weights_all):
"""Create metrics accumulators and averager for Eager mode.
Args:
metric_names: list<str> from Metrics enum
weights_fn: function that takes labels and returns a weights mask. Defaults
to weights of all 1, i.e. common_layers.weights_all. Use
common_layers.weights_nonzero if labels have 0-padding.
Returns:
(accum_fn(predictions, targets) => None,
result_fn() => dict<str metric_name, float avg_val>
"""
metric_fns = dict(
[(name, METRICS_FNS[name]) for name in metric_names])
return create_eager_metrics_internal(metric_fns, weights_fn)
|
[
"def",
"create_eager_metrics",
"(",
"metric_names",
",",
"weights_fn",
"=",
"common_layers",
".",
"weights_all",
")",
":",
"metric_fns",
"=",
"dict",
"(",
"[",
"(",
"name",
",",
"METRICS_FNS",
"[",
"name",
"]",
")",
"for",
"name",
"in",
"metric_names",
"]",
")",
"return",
"create_eager_metrics_internal",
"(",
"metric_fns",
",",
"weights_fn",
")"
] |
Create metrics accumulators and averager for Eager mode.
Args:
metric_names: list<str> from Metrics enum
weights_fn: function that takes labels and returns a weights mask. Defaults
to weights of all 1, i.e. common_layers.weights_all. Use
common_layers.weights_nonzero if labels have 0-padding.
Returns:
(accum_fn(predictions, targets) => None,
result_fn() => dict<str metric_name, float avg_val>
|
[
"Create",
"metrics",
"accumulators",
"and",
"averager",
"for",
"Eager",
"mode",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L652-L667
|
train
|
Create metrics accumulators and averager for Eager mode.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1010000 + 0o37) + chr(52) + '\067', 39800 - 39792), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(2182 - 2133) + chr(0b110101) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b110110) + '\061', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(48) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1294 - 1246) + chr(0b1101111) + '\062' + chr(0b110100) + chr(52), 24830 - 24822), ehT0Px3KOsy9('\x30' + chr(0b10001 + 0o136) + chr(49) + chr(48) + chr(0b10000 + 0o45), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + chr(0b110001) + chr(0b110000) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b11 + 0o154) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1129 - 1075) + '\060', 0o10), ehT0Px3KOsy9(chr(760 - 712) + chr(111) + '\062' + '\x31' + chr(0b11100 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(53), 18396 - 18388), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + '\063' + chr(2191 - 2138) + '\064', 0o10), ehT0Px3KOsy9(chr(2141 - 2093) + chr(0b1101111) + chr(0b100 + 0o56) + chr(0b110111) + chr(0b101101 + 0o4), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b100010 + 0o24), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + chr(0b100011 + 0o16) + chr(0b110001) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\x34' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1000 + 0o51) + chr(1238 - 1184) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b11111 + 0o120) + '\061' + '\066' + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(6033 - 5922) + '\065' + '\065', 51063 - 51055), ehT0Px3KOsy9('\x30' + chr(111) + chr(970 - 921) + chr(54) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(54) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + chr(0b110011) + chr(0b110000) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101001 + 0o11) + chr(52) + '\066', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b1 + 0o61) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(2559 - 2507) + '\066', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(1976 - 1925) + chr(0b110101) + chr(0b110101), 2135 - 2127), ehT0Px3KOsy9(chr(48) + chr(4683 - 4572) + chr(0b110101) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(9984 - 9873) + '\061' + chr(1898 - 1845) + chr(52), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + chr(49) + chr(0b10011 + 0o40) + '\065', 10039 - 10031), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2254 - 2205) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(8087 - 7976) + chr(51) + chr(677 - 625) + '\061', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b10000 + 0o137) + chr(0b100000 + 0o22) + '\x36' + '\x35', 0o10), ehT0Px3KOsy9(chr(1839 - 1791) + chr(111) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110001 + 0o6), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(1542 - 1487) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(7239 - 7128) + '\x31' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(694 - 646) + chr(0b10110 + 0o131) + '\061' + chr(0b10101 + 0o33) + '\x34', 44379 - 44371), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(51) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1888 - 1840) + '\x6f' + chr(1197 - 1145) + chr(0b101000 + 0o13), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2155 - 2107) + chr(111) + chr(1483 - 1430) + chr(0b11110 + 0o22), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\t'), '\x64' + '\x65' + chr(0b101 + 0o136) + '\x6f' + chr(6564 - 6464) + '\x65')(chr(0b1100010 + 0o23) + chr(0b1110100) + '\x66' + chr(0b11 + 0o52) + chr(474 - 418)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def EBnjLnTkxUvZ(l2ujVR8EVLVA, Pdbc6Q2jZ4RQ=xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'P\t\x98"\xcc11ZQ\xe4q'), chr(100) + chr(0b1100101) + '\x63' + chr(0b100111 + 0o110) + chr(0b1001000 + 0o34) + chr(101))(chr(117) + chr(0b1110100) + chr(10132 - 10030) + '\x2d' + '\070'))):
Uc4uBbW4aU0j = wLqBDw8l0eIm([(AIvJRzLdDfgF, sOYVfU_yfsQw[AIvJRzLdDfgF]) for AIvJRzLdDfgF in l2ujVR8EVLVA])
return GsCissKtp255(Uc4uBbW4aU0j, Pdbc6Q2jZ4RQ)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
create_eager_metrics_internal
|
def create_eager_metrics_internal(metric_fns,
weights_fn=common_layers.weights_all):
"""Create metrics accumulators and averager for Eager mode.
Args:
metric_fns: dict<metric name, metric function>
weights_fn: function that takes labels and returns a weights mask. Defaults
to weights of all 1, i.e. common_layers.weights_all. Use
common_layers.weights_nonzero if labels have 0-padding.
Returns:
(accum_fn(predictions, targets) => None,
result_fn() => dict<str metric_name, float avg_val>
"""
tfe_metrics = {}
for name in metric_fns:
tfe_metrics[name] = tfe.metrics.Mean(name=name)
def metric_accum(predictions, targets):
for name, metric_fn in metric_fns.items():
val, weight = metric_fn(predictions, targets,
weights_fn=weights_fn)
tfe_metrics[name](np.squeeze(val), np.squeeze(weight))
def metric_means():
avgs = {}
for name in metric_fns:
avgs[name] = tfe_metrics[name].result().numpy()
return avgs
return metric_accum, metric_means
|
python
|
def create_eager_metrics_internal(metric_fns,
weights_fn=common_layers.weights_all):
"""Create metrics accumulators and averager for Eager mode.
Args:
metric_fns: dict<metric name, metric function>
weights_fn: function that takes labels and returns a weights mask. Defaults
to weights of all 1, i.e. common_layers.weights_all. Use
common_layers.weights_nonzero if labels have 0-padding.
Returns:
(accum_fn(predictions, targets) => None,
result_fn() => dict<str metric_name, float avg_val>
"""
tfe_metrics = {}
for name in metric_fns:
tfe_metrics[name] = tfe.metrics.Mean(name=name)
def metric_accum(predictions, targets):
for name, metric_fn in metric_fns.items():
val, weight = metric_fn(predictions, targets,
weights_fn=weights_fn)
tfe_metrics[name](np.squeeze(val), np.squeeze(weight))
def metric_means():
avgs = {}
for name in metric_fns:
avgs[name] = tfe_metrics[name].result().numpy()
return avgs
return metric_accum, metric_means
|
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",",
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] |
Create metrics accumulators and averager for Eager mode.
Args:
metric_fns: dict<metric name, metric function>
weights_fn: function that takes labels and returns a weights mask. Defaults
to weights of all 1, i.e. common_layers.weights_all. Use
common_layers.weights_nonzero if labels have 0-padding.
Returns:
(accum_fn(predictions, targets) => None,
result_fn() => dict<str metric_name, float avg_val>
|
[
"Create",
"metrics",
"accumulators",
"and",
"averager",
"for",
"Eager",
"mode",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L670-L701
|
train
|
Create metrics accumulators and averager for Eager mode.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + chr(0b110001) + chr(0b110001) + chr(877 - 825), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b100100 + 0o14) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + chr(0b10111 + 0o35) + chr(1054 - 1004), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10011 + 0o36) + chr(1224 - 1171) + chr(0b101010 + 0o14), 0o10), ehT0Px3KOsy9(chr(300 - 252) + chr(111) + '\061' + chr(51) + '\x31', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(2518 - 2464) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + '\x31' + chr(0b110 + 0o61) + '\x31', 12536 - 12528), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + '\x31' + chr(51) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1728 - 1680) + chr(0b11010 + 0o125) + '\067' + chr(54), 557 - 549), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b110001) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(53) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b110000 + 0o5) + chr(720 - 666), 0o10), ehT0Px3KOsy9(chr(380 - 332) + chr(0b1101111) + chr(925 - 875) + chr(0b110110) + chr(922 - 872), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(716 - 666) + chr(0b110000) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(1943 - 1895) + chr(0b101 + 0o60), 49792 - 49784), ehT0Px3KOsy9('\x30' + chr(1934 - 1823) + chr(0b110011) + chr(1136 - 1084) + chr(0b1 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10189 - 10078) + chr(0b110010) + chr(1015 - 961) + chr(55), 24316 - 24308), ehT0Px3KOsy9('\060' + '\x6f' + '\061', 56442 - 56434), ehT0Px3KOsy9('\060' + chr(10761 - 10650) + chr(0b110001) + '\060' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11547 - 11436) + chr(0b110010) + chr(0b110000) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + '\x31' + chr(0b110100) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\061' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6865 - 6754) + chr(0b110001) + '\x33' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101011 + 0o4) + chr(424 - 374) + '\x31' + chr(0b100111 + 0o12), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(51) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1567 - 1519) + chr(0b1010011 + 0o34) + '\x33' + '\066' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101001 + 0o6) + chr(0b110010) + '\x37' + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2726 - 2672) + chr(0b110000), 38261 - 38253), ehT0Px3KOsy9(chr(48) + chr(7738 - 7627) + '\x32' + chr(1107 - 1055) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(12272 - 12161) + chr(0b110001) + chr(52) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + '\x32' + chr(0b101110 + 0o11) + '\067', 0b1000), ehT0Px3KOsy9(chr(1531 - 1483) + chr(0b1101111) + chr(1897 - 1844) + '\066', 0o10), ehT0Px3KOsy9(chr(553 - 505) + chr(0b101011 + 0o104) + chr(1942 - 1892) + chr(54) + '\067', 8), ehT0Px3KOsy9(chr(0b110000) + chr(8116 - 8005) + chr(0b110011) + chr(1514 - 1464) + '\061', 33662 - 33654), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10010 + 0o41) + chr(52) + chr(0b100011 + 0o24), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1460 - 1408) + '\060', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10000 + 0o42) + chr(55) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000111 + 0o50) + '\061' + '\064' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + '\061' + chr(0b110000) + '\064', 0o10), ehT0Px3KOsy9(chr(1978 - 1930) + chr(0b1000110 + 0o51) + '\061' + chr(2145 - 2097) + chr(53), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(860 - 812) + '\157' + '\x35' + chr(0b11010 + 0o26), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'b'), chr(100) + '\x65' + chr(402 - 303) + chr(9295 - 9184) + '\x64' + chr(101))(chr(0b1110101) + chr(116) + '\x66' + chr(0b101100 + 0o1) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GsCissKtp255(Uc4uBbW4aU0j, Pdbc6Q2jZ4RQ=xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b';%K\t1\x85\n\x07_\xa2\x85'), chr(0b1100100) + chr(0b1001001 + 0o34) + '\143' + chr(111) + chr(6110 - 6010) + '\145')(chr(0b1010100 + 0o41) + chr(8099 - 7983) + chr(0b1001100 + 0o32) + '\x2d' + chr(56)))):
IQJUwHOgx12H = {}
for AIvJRzLdDfgF in Uc4uBbW4aU0j:
IQJUwHOgx12H[AIvJRzLdDfgF] = iq8rPPmgiQWH.metrics.Mean(name=AIvJRzLdDfgF)
def y3Dz9Z5JN369(qIQi_VFCIFZL, xIEmRseySp3z):
for (AIvJRzLdDfgF, sncLXYohINcs) in xafqLlk3kkUe(Uc4uBbW4aU0j, xafqLlk3kkUe(SXOLrMavuUCe(b'\x02:T\x0b\x10\xabJ\x11R\x9d\xa1\xd7'), chr(0b1100100) + '\x65' + chr(9665 - 9566) + '\157' + '\x64' + chr(0b1010000 + 0o25))(chr(0b110110 + 0o77) + '\164' + chr(0b1001 + 0o135) + chr(1524 - 1479) + '\x38'))():
(pQxH2D_k9sXQ, C0mVSPj6WjvB) = sncLXYohINcs(qIQi_VFCIFZL, xIEmRseySp3z, weights_fn=Pdbc6Q2jZ4RQ)
IQJUwHOgx12H[AIvJRzLdDfgF](xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'?1W\x0b<\x8b\x1c'), '\144' + chr(6085 - 5984) + '\143' + '\157' + chr(0b1011101 + 0o7) + chr(7232 - 7131))(chr(6306 - 6189) + chr(10726 - 10610) + chr(0b11011 + 0o113) + chr(0b1111 + 0o36) + '\070'))(pQxH2D_k9sXQ), xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'?1W\x0b<\x8b\x1c'), chr(0b1011110 + 0o6) + chr(0b1 + 0o144) + chr(4657 - 4558) + '\157' + chr(2628 - 2528) + '\x65')('\x75' + '\164' + chr(0b1100001 + 0o5) + chr(45) + '\x38'))(C0mVSPj6WjvB))
def y9jd_VtU2hMJ():
MHt4tqrjnO2A = {}
for AIvJRzLdDfgF in Uc4uBbW4aU0j:
MHt4tqrjnO2A[AIvJRzLdDfgF] = IQJUwHOgx12H[AIvJRzLdDfgF].result().numpy()
return MHt4tqrjnO2A
return (y3Dz9Z5JN369, y9jd_VtU2hMJ)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
word_error_rate
|
def word_error_rate(raw_predictions,
labels,
lookup=None,
weights_fn=common_layers.weights_nonzero):
"""Calculate word error rate.
Args:
raw_predictions: The raw predictions.
labels: The actual labels.
lookup: A tf.constant mapping indices to output tokens.
weights_fn: Weighting function.
Returns:
The word error rate.
"""
def from_tokens(raw, lookup_):
gathered = tf.gather(lookup_, tf.cast(raw, tf.int32))
joined = tf.regex_replace(tf.reduce_join(gathered, axis=1), b"<EOS>.*", b"")
cleaned = tf.regex_replace(joined, b"_", b" ")
tokens = tf.string_split(cleaned, " ")
return tokens
def from_characters(raw, lookup_):
"""Convert ascii+2 encoded codes to string-tokens."""
corrected = tf.bitcast(
tf.clip_by_value(tf.subtract(raw, 2), 0, 255), tf.uint8)
gathered = tf.gather(lookup_, tf.cast(corrected, tf.int32))[:, :, 0]
joined = tf.reduce_join(gathered, axis=1)
cleaned = tf.regex_replace(joined, b"\0", b"")
tokens = tf.string_split(cleaned, " ")
return tokens
if lookup is None:
lookup = tf.constant([chr(i) for i in range(256)])
convert_fn = from_characters
else:
convert_fn = from_tokens
if weights_fn is not common_layers.weights_nonzero:
raise ValueError("Only weights_nonzero can be used for this metric.")
with tf.variable_scope("word_error_rate", values=[raw_predictions, labels]):
raw_predictions = tf.squeeze(
tf.argmax(raw_predictions, axis=-1), axis=(2, 3))
labels = tf.squeeze(labels, axis=(2, 3))
reference = convert_fn(labels, lookup)
predictions = convert_fn(raw_predictions, lookup)
distance = tf.reduce_sum(
tf.edit_distance(predictions, reference, normalize=False))
reference_length = tf.cast(
tf.size(reference.values, out_type=tf.int32), dtype=tf.float32)
return distance / reference_length, reference_length
|
python
|
def word_error_rate(raw_predictions,
labels,
lookup=None,
weights_fn=common_layers.weights_nonzero):
"""Calculate word error rate.
Args:
raw_predictions: The raw predictions.
labels: The actual labels.
lookup: A tf.constant mapping indices to output tokens.
weights_fn: Weighting function.
Returns:
The word error rate.
"""
def from_tokens(raw, lookup_):
gathered = tf.gather(lookup_, tf.cast(raw, tf.int32))
joined = tf.regex_replace(tf.reduce_join(gathered, axis=1), b"<EOS>.*", b"")
cleaned = tf.regex_replace(joined, b"_", b" ")
tokens = tf.string_split(cleaned, " ")
return tokens
def from_characters(raw, lookup_):
"""Convert ascii+2 encoded codes to string-tokens."""
corrected = tf.bitcast(
tf.clip_by_value(tf.subtract(raw, 2), 0, 255), tf.uint8)
gathered = tf.gather(lookup_, tf.cast(corrected, tf.int32))[:, :, 0]
joined = tf.reduce_join(gathered, axis=1)
cleaned = tf.regex_replace(joined, b"\0", b"")
tokens = tf.string_split(cleaned, " ")
return tokens
if lookup is None:
lookup = tf.constant([chr(i) for i in range(256)])
convert_fn = from_characters
else:
convert_fn = from_tokens
if weights_fn is not common_layers.weights_nonzero:
raise ValueError("Only weights_nonzero can be used for this metric.")
with tf.variable_scope("word_error_rate", values=[raw_predictions, labels]):
raw_predictions = tf.squeeze(
tf.argmax(raw_predictions, axis=-1), axis=(2, 3))
labels = tf.squeeze(labels, axis=(2, 3))
reference = convert_fn(labels, lookup)
predictions = convert_fn(raw_predictions, lookup)
distance = tf.reduce_sum(
tf.edit_distance(predictions, reference, normalize=False))
reference_length = tf.cast(
tf.size(reference.values, out_type=tf.int32), dtype=tf.float32)
return distance / reference_length, reference_length
|
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] |
Calculate word error rate.
Args:
raw_predictions: The raw predictions.
labels: The actual labels.
lookup: A tf.constant mapping indices to output tokens.
weights_fn: Weighting function.
Returns:
The word error rate.
|
[
"Calculate",
"word",
"error",
"rate",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L704-L761
|
train
|
Calculate word error rate.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\x35' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10011 + 0o36) + chr(0b10010 + 0o42) + chr(2398 - 2343), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101 + 0o54) + chr(0b110000 + 0o2) + chr(0b11 + 0o62), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(55) + chr(0b100101 + 0o15), 0b1000), ehT0Px3KOsy9(chr(103 - 55) + chr(0b100000 + 0o117) + '\x33' + chr(0b110100) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\x36' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + chr(0b110011) + '\x34' + chr(2087 - 2035), 48451 - 48443), ehT0Px3KOsy9('\x30' + '\157' + chr(709 - 657) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\x30', 18351 - 18343), ehT0Px3KOsy9(chr(48) + chr(5579 - 5468) + chr(0b101010 + 0o11) + chr(2623 - 2570) + chr(55), 21077 - 21069), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10010 + 0o40) + chr(2191 - 2143) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11010 + 0o27) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(6182 - 6071) + chr(0b110101) + '\064', 42439 - 42431), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(51) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x37' + chr(0b111 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1110 + 0o141) + chr(0b110001) + chr(51) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(2198 - 2146) + '\x35', 24276 - 24268), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(857 - 808) + '\064' + chr(2387 - 2334), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b10 + 0o64) + '\x34', 1764 - 1756), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b101011 + 0o11) + chr(2328 - 2274), ord("\x08")), ehT0Px3KOsy9(chr(407 - 359) + chr(9658 - 9547) + chr(0b110101) + chr(0b110011), 38261 - 38253), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b1001 + 0o56) + '\065', 20921 - 20913), ehT0Px3KOsy9('\060' + '\157' + chr(0b110000 + 0o7) + chr(1453 - 1398), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10011 + 0o134) + chr(0b111 + 0o53) + chr(1097 - 1048) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(1928 - 1880), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\067' + chr(48), 23964 - 23956), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(49) + chr(0b110000 + 0o1) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\060' + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\066' + chr(117 - 64), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(701 - 651), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + '\063' + '\x36' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(0b101000 + 0o13) + chr(0b110001) + chr(48), 8493 - 8485), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b110000) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + '\061' + chr(1197 - 1148) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(726 - 677) + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1 + 0o156) + chr(1334 - 1285) + '\063' + '\x30', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b110000) + chr(666 - 613), 8), ehT0Px3KOsy9('\060' + chr(0b110011 + 0o74) + '\x37' + chr(55), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(321 - 266) + chr(0b11110 + 0o22), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\065' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2'), '\144' + chr(5836 - 5735) + '\143' + '\x6f' + chr(0b111011 + 0o51) + chr(101))('\165' + chr(0b1110100) + chr(7437 - 7335) + chr(0b101101) + chr(446 - 390)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def b4AZaxXKQrua(szn_AxsWz69M, uXMK81tmdpTM, Mxq4oKZK3Iti=None, Pdbc6Q2jZ4RQ=xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x02<\x9d\x8d\x83\x97{f\x80\xectIjS'), chr(0b1000100 + 0o40) + chr(499 - 398) + chr(8620 - 8521) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(117) + chr(0b1001110 + 0o46) + chr(0b1100110) + chr(0b101101) + chr(56)))):
def aZZ6a2r5cTBa(E5jPYKeS99ZR, iMGsFrD5HCuq):
QaEO68GC3Wut = IDJ2eXGCBCDu.gather(iMGsFrD5HCuq, IDJ2eXGCBCDu.cast(E5jPYKeS99ZR, IDJ2eXGCBCDu.int32))
Iba0UCcf8lPD = IDJ2eXGCBCDu.regex_replace(IDJ2eXGCBCDu.reduce_join(QaEO68GC3Wut, axis=ehT0Px3KOsy9(chr(48) + '\157' + '\061', 0o10)), SXOLrMavuUCe(b'\xd0"\x1a\xa9\xdb\xd9\xce'), SXOLrMavuUCe(b''))
UNHl4xThSMlN = IDJ2eXGCBCDu.regex_replace(Iba0UCcf8lPD, SXOLrMavuUCe(b'\xb3'), SXOLrMavuUCe(b'\xcc'))
Sz7tXxaCGqJ1 = IDJ2eXGCBCDu.string_split(UNHl4xThSMlN, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc'), '\144' + '\x65' + chr(2976 - 2877) + '\x6f' + chr(100) + '\145')(chr(0b1110101) + '\164' + chr(0b1100110) + '\055' + '\x38'))
return Sz7tXxaCGqJ1
def __ihX5gjt_Z9(E5jPYKeS99ZR, iMGsFrD5HCuq):
R9J_CxEhTnX7 = IDJ2eXGCBCDu.bitcast(IDJ2eXGCBCDu.clip_by_value(IDJ2eXGCBCDu.subtract(E5jPYKeS99ZR, ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(11535 - 11424) + chr(50), 8)), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1000001 + 0o56) + chr(0b10 + 0o56), 57446 - 57438), ehT0Px3KOsy9('\060' + chr(8380 - 8269) + chr(51) + chr(0b101 + 0o62) + chr(0b110111), 0o10)), IDJ2eXGCBCDu.uint8)
QaEO68GC3Wut = IDJ2eXGCBCDu.gather(iMGsFrD5HCuq, IDJ2eXGCBCDu.cast(R9J_CxEhTnX7, IDJ2eXGCBCDu.int32))[:, :, ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + chr(0b100010 + 0o16), 8)]
Iba0UCcf8lPD = IDJ2eXGCBCDu.reduce_join(QaEO68GC3Wut, axis=ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + chr(1949 - 1900), 8))
UNHl4xThSMlN = IDJ2eXGCBCDu.regex_replace(Iba0UCcf8lPD, SXOLrMavuUCe(b'\xec'), SXOLrMavuUCe(b''))
Sz7tXxaCGqJ1 = IDJ2eXGCBCDu.string_split(UNHl4xThSMlN, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc'), '\144' + '\x65' + chr(0b1100011) + '\x6f' + chr(0b1010101 + 0o17) + chr(101))('\165' + '\x74' + chr(0b1100110) + chr(45) + chr(1584 - 1528)))
return Sz7tXxaCGqJ1
if Mxq4oKZK3Iti is None:
Mxq4oKZK3Iti = IDJ2eXGCBCDu.constant([iDQ_gSK8V7h0(WVxHKyX45z_L) for WVxHKyX45z_L in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + chr(0b110100) + chr(0b110000) + chr(0b110000), 12281 - 12273))])
VejnLL4e_Sg6 = __ihX5gjt_Z9
else:
VejnLL4e_Sg6 = aZZ6a2r5cTBa
if Pdbc6Q2jZ4RQ is not xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x02<\x9d\x8d\x83\x97{f\x80\xectIjS'), chr(939 - 839) + chr(6335 - 6234) + '\x63' + chr(11587 - 11476) + chr(0b1100100) + chr(0b11010 + 0o113))('\165' + chr(0b1110100) + '\x66' + chr(0b101101) + '\070')):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\t9\x83\xc5\x80\x81Mo\x87\xf6}svS6\x1f\x00q\xdb\xc6H\xdcQ\xabr]o\xf1\x86g\x97\xe8\xa3!\xbbx\xb1W\xd1\x9fG8\x9f\x91\x85\x8dG&'), '\144' + '\x65' + chr(0b111110 + 0o45) + chr(0b1101111) + chr(0b11010 + 0o112) + '\145')(chr(0b111101 + 0o70) + chr(0b1000111 + 0o55) + chr(102) + '\055' + '\070'))
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b"\x9a\x06'\x93\x84\x95\x88AW\x9c\xe1a\\}"), chr(2564 - 2464) + chr(101) + chr(0b1001011 + 0o30) + '\x6f' + chr(100) + '\x65')(chr(517 - 400) + chr(13272 - 13156) + chr(102) + chr(0b101101) + chr(0b1001 + 0o57)))(xafqLlk3kkUe(SXOLrMavuUCe(b"\x9b\x08'\x9e\xba\x92\x96Vg\x9d\xdd|MlY"), '\x64' + '\145' + chr(0b1101 + 0o126) + chr(5821 - 5710) + '\x64' + '\x65')(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + chr(1361 - 1305)), values=[szn_AxsWz69M, uXMK81tmdpTM]):
szn_AxsWz69M = IDJ2eXGCBCDu.squeeze(IDJ2eXGCBCDu.argmax(szn_AxsWz69M, axis=-ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(49), 8)), axis=(ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + chr(50), 8), ehT0Px3KOsy9('\x30' + chr(3123 - 3012) + chr(0b110011), 8)))
uXMK81tmdpTM = IDJ2eXGCBCDu.squeeze(uXMK81tmdpTM, axis=(ehT0Px3KOsy9(chr(2039 - 1991) + chr(0b100110 + 0o111) + chr(0b100011 + 0o17), 8), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(800 - 749), 8)))
GaqN2HBLWxhF = VejnLL4e_Sg6(uXMK81tmdpTM, Mxq4oKZK3Iti)
qIQi_VFCIFZL = VejnLL4e_Sg6(szn_AxsWz69M, Mxq4oKZK3Iti)
PKlczyAx7TeW = IDJ2eXGCBCDu.reduce_sum(IDJ2eXGCBCDu.edit_distance(qIQi_VFCIFZL, GaqN2HBLWxhF, normalize=ehT0Px3KOsy9('\x30' + chr(6625 - 6514) + chr(0b110000), 8)))
MIBv1aIKYoeq = IDJ2eXGCBCDu.cast(IDJ2eXGCBCDu.NLcc3BCJnQka(GaqN2HBLWxhF.SPnCNu54H1db, out_type=IDJ2eXGCBCDu.int32), dtype=IDJ2eXGCBCDu.float32)
return (PKlczyAx7TeW / MIBv1aIKYoeq, MIBv1aIKYoeq)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/metrics.py
|
pearson_correlation_coefficient
|
def pearson_correlation_coefficient(predictions, labels, weights_fn=None):
"""Calculate pearson correlation coefficient.
Args:
predictions: The raw predictions.
labels: The actual labels.
weights_fn: Weighting function.
Returns:
The pearson correlation coefficient.
"""
del weights_fn
_, pearson = tf.contrib.metrics.streaming_pearson_correlation(predictions,
labels)
return pearson, tf.constant(1.0)
|
python
|
def pearson_correlation_coefficient(predictions, labels, weights_fn=None):
"""Calculate pearson correlation coefficient.
Args:
predictions: The raw predictions.
labels: The actual labels.
weights_fn: Weighting function.
Returns:
The pearson correlation coefficient.
"""
del weights_fn
_, pearson = tf.contrib.metrics.streaming_pearson_correlation(predictions,
labels)
return pearson, tf.constant(1.0)
|
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",",
"tf",
".",
"constant",
"(",
"1.0",
")"
] |
Calculate pearson correlation coefficient.
Args:
predictions: The raw predictions.
labels: The actual labels.
weights_fn: Weighting function.
Returns:
The pearson correlation coefficient.
|
[
"Calculate",
"pearson",
"correlation",
"coefficient",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/metrics.py#L764-L778
|
train
|
Calculate the pearson correlation coefficient.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(0b100 + 0o56) + chr(0b101101 + 0o12) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000 + 0o2) + chr(0b1000 + 0o56), 0b1000), ehT0Px3KOsy9('\060' + chr(11082 - 10971) + '\062' + '\x33', 5850 - 5842), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(1800 - 1747) + chr(0b110 + 0o56), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\065' + chr(1270 - 1221), 11154 - 11146), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\x33' + chr(48), 0o10), ehT0Px3KOsy9(chr(1068 - 1020) + chr(111) + '\061' + '\061' + chr(50), 0b1000), ehT0Px3KOsy9(chr(1674 - 1626) + chr(7203 - 7092) + '\062' + chr(1149 - 1096) + chr(0b110100), 42128 - 42120), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10 + 0o57) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(55) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11627 - 11516) + '\061' + '\x31' + chr(0b101110 + 0o4), 8), ehT0Px3KOsy9(chr(1834 - 1786) + '\x6f' + chr(49) + chr(50) + chr(55), 57895 - 57887), ehT0Px3KOsy9('\060' + chr(1180 - 1069) + chr(0b100011 + 0o23) + chr(0b101001 + 0o13), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\x34' + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(0b110110) + chr(0b110000), 13644 - 13636), ehT0Px3KOsy9(chr(671 - 623) + chr(111) + chr(55) + chr(0b1100 + 0o45), 15285 - 15277), ehT0Px3KOsy9(chr(760 - 712) + chr(8351 - 8240) + chr(50) + '\x31', 0b1000), ehT0Px3KOsy9(chr(761 - 713) + chr(0b111011 + 0o64) + chr(1934 - 1885) + '\060' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(49) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(600 - 549) + chr(0b101 + 0o62), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + '\x31' + chr(0b10000 + 0o41) + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b101000 + 0o107) + '\x32' + chr(0b110110) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(1906 - 1857) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x37' + chr(0b101011 + 0o11), 34204 - 34196), ehT0Px3KOsy9(chr(1067 - 1019) + chr(6035 - 5924) + '\x32' + chr(1101 - 1048) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(9445 - 9334) + '\x32' + chr(89 - 34), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(299 - 249) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b11 + 0o60) + chr(315 - 262), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10010 + 0o40) + '\063' + chr(0b101101 + 0o6), 65017 - 65009), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x32' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(1254 - 1204), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + '\x31' + '\067' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2245 - 2194) + '\x36' + chr(0b110111), 7768 - 7760), ehT0Px3KOsy9(chr(1466 - 1418) + chr(1539 - 1428) + chr(1250 - 1199) + '\067' + chr(0b11100 + 0o32), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7904 - 7793) + chr(1389 - 1340) + chr(0b101011 + 0o7) + '\x33', 24110 - 24102), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1011000 + 0o27) + chr(54) + chr(1663 - 1610), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(0b100110 + 0o21) + '\065', 36338 - 36330), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(276 - 224) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(1259 - 1211) + chr(5826 - 5715) + chr(50) + chr(0b110011) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(54) + chr(1250 - 1200), 38128 - 38120)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(3583 - 3472) + chr(53) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x91'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(5375 - 5275) + chr(101))(chr(117) + chr(6197 - 6081) + chr(0b1100110) + chr(0b100001 + 0o14) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def O0rdqmdck0q7(qIQi_VFCIFZL, uXMK81tmdpTM, Pdbc6Q2jZ4RQ=None):
del Pdbc6Q2jZ4RQ
(VNGQdHSFPrso, V5pI2jl3rmQG) = IDJ2eXGCBCDu.contrib.metrics.streaming_pearson_correlation(qIQi_VFCIFZL, uXMK81tmdpTM)
return (V5pI2jl3rmQG, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcy}\x1f\xdd\xb9$\xd8'), chr(0b1100100) + '\x65' + chr(5359 - 5260) + '\x6f' + chr(0b1010101 + 0o17) + '\x65')('\x75' + chr(116) + '\146' + chr(0b101101) + chr(0b110011 + 0o5)))(1.0))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/attention_lm.py
|
attention_lm_prepare_decoder
|
def attention_lm_prepare_decoder(targets, hparams):
"""Prepare one shard of the model for the decoder.
Args:
targets: a Tensor.
hparams: run hyperparameters
Returns:
decoder_input: a Tensor, bottom of decoder stack
decoder_self_attention_bias: a Tensor, containing large negative values
to implement masked attention and possibly biases for diagonal alignments
"""
if hparams.prepend_mode == "prepend_inputs_full_attention":
decoder_self_attention_bias = (
common_attention.attention_bias_prepend_inputs_full_attention(
common_attention.embedding_to_padding(targets)))
else:
decoder_self_attention_bias = (
common_attention.attention_bias_lower_triangle(
common_layers.shape_list(targets)[1]))
decoder_input = common_layers.shift_right_3d(targets)
if hparams.pos == "timing":
decoder_input = common_attention.add_timing_signal_1d(decoder_input)
return (decoder_input, decoder_self_attention_bias)
|
python
|
def attention_lm_prepare_decoder(targets, hparams):
"""Prepare one shard of the model for the decoder.
Args:
targets: a Tensor.
hparams: run hyperparameters
Returns:
decoder_input: a Tensor, bottom of decoder stack
decoder_self_attention_bias: a Tensor, containing large negative values
to implement masked attention and possibly biases for diagonal alignments
"""
if hparams.prepend_mode == "prepend_inputs_full_attention":
decoder_self_attention_bias = (
common_attention.attention_bias_prepend_inputs_full_attention(
common_attention.embedding_to_padding(targets)))
else:
decoder_self_attention_bias = (
common_attention.attention_bias_lower_triangle(
common_layers.shape_list(targets)[1]))
decoder_input = common_layers.shift_right_3d(targets)
if hparams.pos == "timing":
decoder_input = common_attention.add_timing_signal_1d(decoder_input)
return (decoder_input, decoder_self_attention_bias)
|
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] |
Prepare one shard of the model for the decoder.
Args:
targets: a Tensor.
hparams: run hyperparameters
Returns:
decoder_input: a Tensor, bottom of decoder stack
decoder_self_attention_bias: a Tensor, containing large negative values
to implement masked attention and possibly biases for diagonal alignments
|
[
"Prepare",
"one",
"shard",
"of",
"the",
"model",
"for",
"the",
"decoder",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/attention_lm.py#L66-L89
|
train
|
Prepare one shard of the model for the decoder.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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' + '\x31' + '\x36' + chr(0b110010), 59010 - 59002), ehT0Px3KOsy9('\x30' + chr(10954 - 10843) + chr(509 - 459) + chr(48) + chr(0b110101 + 0o2), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(53) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1299 - 1248) + chr(0b10001 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4317 - 4206) + '\062' + '\x34' + chr(2880 - 2826), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(2246 - 2196) + '\062' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100100 + 0o13) + chr(51) + '\066' + chr(62 - 11), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(0b110010) + '\x33' + chr(736 - 684), 0o10), ehT0Px3KOsy9(chr(1783 - 1735) + '\157' + chr(2292 - 2241) + '\x33' + chr(0b101011 + 0o11), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5002 - 4891) + chr(1520 - 1471) + chr(0b110011) + chr(0b1001 + 0o47), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(50) + chr(55) + chr(49), 3665 - 3657), ehT0Px3KOsy9(chr(226 - 178) + chr(0b1101111) + chr(0b110001) + chr(52) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11101 + 0o24) + chr(0b11010 + 0o26), 0b1000), ehT0Px3KOsy9('\x30' + chr(1575 - 1464) + chr(51) + '\x34' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + chr(0b100111 + 0o12) + chr(50) + chr(0b101 + 0o60), 30432 - 30424), ehT0Px3KOsy9('\x30' + chr(2627 - 2516) + chr(49) + chr(50) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(2231 - 2180) + chr(0b1010 + 0o47) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1101 + 0o44) + '\066' + chr(0b10010 + 0o37), 61533 - 61525), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2928 - 2873) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(2200 - 2152) + chr(178 - 67) + chr(51) + chr(109 - 56) + chr(864 - 812), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10100 + 0o35) + chr(0b110010) + '\064', 0b1000), ehT0Px3KOsy9(chr(1093 - 1045) + '\157' + chr(50) + '\x30' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1011001 + 0o26) + chr(0b10110 + 0o37) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(9766 - 9655) + '\x33' + chr(0b110010) + '\x36', 0b1000), ehT0Px3KOsy9(chr(174 - 126) + '\157' + chr(0b1001 + 0o50) + chr(0b10111 + 0o36) + '\x32', 58015 - 58007), ehT0Px3KOsy9(chr(0b110000) + chr(926 - 815) + '\x33' + chr(0b110000 + 0o5) + '\067', 14680 - 14672), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1001 + 0o146) + '\061' + chr(0b100100 + 0o23) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(5927 - 5816) + chr(49) + '\x31' + '\065', 30747 - 30739), ehT0Px3KOsy9(chr(104 - 56) + chr(0b1011110 + 0o21) + chr(0b10101 + 0o42) + chr(0b100 + 0o62), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\060' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(51) + chr(53) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + '\x33' + '\064' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b110101) + chr(0b10100 + 0o36), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(2084 - 2034) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(716 - 668) + chr(0b1101111) + chr(0b101110 + 0o4) + '\065' + chr(0b10100 + 0o43), 0o10), ehT0Px3KOsy9(chr(993 - 945) + chr(0b100000 + 0o117) + '\x35' + chr(1931 - 1877), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010111 + 0o30) + chr(0b11101 + 0o24) + chr(49) + '\x37', 0o10), ehT0Px3KOsy9(chr(380 - 332) + chr(111) + chr(49) + chr(0b101001 + 0o11) + chr(1573 - 1520), 8), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(6677 - 6566) + chr(0b110001) + '\x36', 28862 - 28854)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(2707 - 2654) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\\'), '\x64' + '\145' + chr(0b11111 + 0o104) + chr(0b1101111) + chr(100) + chr(101))(chr(117) + chr(0b1110 + 0o146) + '\x66' + '\x2d' + chr(727 - 671)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def PuhOUcc5EwlA(xIEmRseySp3z, n4ljua2gi1Pr):
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x03\xf5\xf7-\xca\xf0\xb9\xf5\xae\x19\xd7V'), chr(0b1100100) + '\x65' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(117) + '\164' + chr(0b1100110) + '\x2d' + chr(56))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\xf5\xcdj\xc3\xff\x97\xc3\xb56\xc9\x11|\x97\n5\xbb\x1dV\xb35\xf6\\\xb3\x04\x9b\x17"P'), '\144' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(5499 - 5399) + chr(0b1001010 + 0o33))(chr(117) + chr(0b1010010 + 0o42) + chr(0b1001101 + 0o31) + chr(45) + chr(286 - 230)):
Z0c2rFCFDCFc = WOnrfm4dlYcf.attention_bias_prepend_inputs_full_attention(WOnrfm4dlYcf.embedding_to_padding(xIEmRseySp3z))
else:
Z0c2rFCFDCFc = WOnrfm4dlYcf.attention_bias_lower_triangle(jSKPaHwSAfVv.shape_list(xIEmRseySp3z)[ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11000 + 0o31), 51723 - 51715)])
t5Jz9byuSQ65 = jSKPaHwSAfVv.shift_right_3d(xIEmRseySp3z)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdf\xcc*\xc7\xe0\xaa\xd6\xb8l\xd5/'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\157' + '\x64' + '\x65')(chr(6167 - 6050) + '\x74' + chr(0b1100110) + '\055' + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x06\xee\xc5s\xc8\xf6'), chr(100) + chr(3193 - 3092) + '\x63' + '\x6f' + chr(0b110 + 0o136) + chr(101))(chr(8471 - 8354) + chr(0b1101000 + 0o14) + chr(6779 - 6677) + chr(0b11100 + 0o21) + chr(1643 - 1587)):
t5Jz9byuSQ65 = WOnrfm4dlYcf.add_timing_signal_1d(t5Jz9byuSQ65)
return (t5Jz9byuSQ65, Z0c2rFCFDCFc)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/attention_lm.py
|
attention_lm_decoder
|
def attention_lm_decoder(decoder_input,
decoder_self_attention_bias,
hparams,
name="decoder"):
"""A stack of attention_lm layers.
Args:
decoder_input: a Tensor
decoder_self_attention_bias: bias Tensor for self-attention
(see common_attention.attention_bias())
hparams: hyperparameters for model
name: a string
Returns:
y: a Tensors
"""
x = decoder_input
with tf.variable_scope(name):
for layer in range(hparams.num_hidden_layers):
with tf.variable_scope("layer_%d" % layer):
with tf.variable_scope("self_attention"):
y = common_attention.multihead_attention(
common_layers.layer_preprocess(
x, hparams), None, decoder_self_attention_bias,
hparams.attention_key_channels or hparams.hidden_size,
hparams.attention_value_channels or hparams.hidden_size,
hparams.hidden_size, hparams.num_heads, hparams.attention_dropout)
x = common_layers.layer_postprocess(x, y, hparams)
with tf.variable_scope("ffn"):
y = common_layers.conv_hidden_relu(
common_layers.layer_preprocess(x, hparams),
hparams.filter_size,
hparams.hidden_size,
dropout=hparams.relu_dropout)
x = common_layers.layer_postprocess(x, y, hparams)
return common_layers.layer_preprocess(x, hparams)
|
python
|
def attention_lm_decoder(decoder_input,
decoder_self_attention_bias,
hparams,
name="decoder"):
"""A stack of attention_lm layers.
Args:
decoder_input: a Tensor
decoder_self_attention_bias: bias Tensor for self-attention
(see common_attention.attention_bias())
hparams: hyperparameters for model
name: a string
Returns:
y: a Tensors
"""
x = decoder_input
with tf.variable_scope(name):
for layer in range(hparams.num_hidden_layers):
with tf.variable_scope("layer_%d" % layer):
with tf.variable_scope("self_attention"):
y = common_attention.multihead_attention(
common_layers.layer_preprocess(
x, hparams), None, decoder_self_attention_bias,
hparams.attention_key_channels or hparams.hidden_size,
hparams.attention_value_channels or hparams.hidden_size,
hparams.hidden_size, hparams.num_heads, hparams.attention_dropout)
x = common_layers.layer_postprocess(x, y, hparams)
with tf.variable_scope("ffn"):
y = common_layers.conv_hidden_relu(
common_layers.layer_preprocess(x, hparams),
hparams.filter_size,
hparams.hidden_size,
dropout=hparams.relu_dropout)
x = common_layers.layer_postprocess(x, y, hparams)
return common_layers.layer_preprocess(x, hparams)
|
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A stack of attention_lm layers.
Args:
decoder_input: a Tensor
decoder_self_attention_bias: bias Tensor for self-attention
(see common_attention.attention_bias())
hparams: hyperparameters for model
name: a string
Returns:
y: a Tensors
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/attention_lm.py#L92-L127
|
train
|
A stack of attention_lm layers.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(952 - 902) + chr(1638 - 1587) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b111 + 0o52) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(9357 - 9246) + '\x31' + '\x37' + '\x36', 28799 - 28791), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110000) + '\x31', 25954 - 25946), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(1679 - 1568) + chr(0b101101 + 0o4) + chr(55) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + chr(814 - 764) + '\x32' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(0b110010) + '\065', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b101010 + 0o7) + chr(265 - 211), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\x34' + chr(0b100111 + 0o20), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(1024 - 969) + chr(0b1100 + 0o47), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(2536 - 2485) + '\x33' + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + chr(749 - 698) + chr(49) + '\x34', 5133 - 5125), ehT0Px3KOsy9(chr(1646 - 1598) + chr(6100 - 5989) + chr(801 - 750) + chr(1094 - 1045) + chr(54), 31505 - 31497), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b110001) + '\x35', 0o10), ehT0Px3KOsy9(chr(624 - 576) + chr(0b111000 + 0o67) + chr(50) + chr(48) + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b10111 + 0o130) + '\x37' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x36' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2870 - 2815) + chr(55), 0o10), ehT0Px3KOsy9(chr(843 - 795) + chr(0b10001 + 0o136) + '\x31' + '\x37' + chr(1698 - 1643), 17277 - 17269), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(6142 - 6031) + '\063' + chr(1633 - 1581) + chr(0b110 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(1233 - 1185) + chr(0b11111 + 0o120) + chr(1801 - 1752) + '\061' + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1767 - 1719) + chr(3298 - 3187) + chr(1535 - 1484) + chr(54) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + '\061' + chr(52) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\x36' + chr(0b110011), 52253 - 52245), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1000110 + 0o51) + chr(1571 - 1520) + chr(2812 - 2757) + chr(2449 - 2396), 42836 - 42828), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(410 - 360) + '\x33', 29420 - 29412), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(2353 - 2302) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(5088 - 4977) + chr(0b110111) + '\x32', 56005 - 55997), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\060' + '\x33', 16005 - 15997), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b110000) + '\061', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101110 + 0o11) + chr(55), 8), ehT0Px3KOsy9('\060' + chr(4283 - 4172) + chr(0b11011 + 0o30) + '\065' + '\x37', 59360 - 59352), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1100000 + 0o17) + chr(50) + chr(218 - 169) + '\x35', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x33' + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101111 + 0o2) + chr(2374 - 2322) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + '\063' + chr(2165 - 2112) + chr(0b100010 + 0o17), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(50) + chr(949 - 898), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b110111) + '\062', 5000 - 4992)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(1346 - 1235) + '\065' + chr(1729 - 1681), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5'), chr(0b100 + 0o140) + chr(1165 - 1064) + '\x63' + '\x6f' + '\x64' + chr(101))(chr(0b1110011 + 0o2) + chr(116) + chr(102) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def B0sikrOwdKvf(t5Jz9byuSQ65, Z0c2rFCFDCFc, n4ljua2gi1Pr, AIvJRzLdDfgF=xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xe9\x1d\xee\x1f\xf5g'), chr(100) + chr(0b1100101) + chr(99) + chr(1446 - 1335) + chr(0b110 + 0o136) + chr(101))(chr(2485 - 2368) + chr(116) + chr(565 - 463) + chr(0b101101) + chr(1349 - 1293))):
OeWW0F1dBPRQ = t5Jz9byuSQ65
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xed\x0c\xe8\x1a\xf2y+\xf8\x88\xb8k\xbc\xab'), '\144' + '\x65' + '\x63' + '\157' + '\144' + chr(8698 - 8597))('\x75' + '\164' + chr(0b111010 + 0o54) + chr(1957 - 1912) + '\x38'))(AIvJRzLdDfgF):
for wgamNHppspXj in vQr8gNKaIaWE(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\xd6\x16\xb4$\xe0Y\x1b\xc8\xb4\xb4^'), chr(100) + chr(0b1100101) + chr(99) + chr(1187 - 1076) + '\x64' + chr(101))(chr(0b1110101) + chr(116) + chr(0b1001000 + 0o36) + chr(0b11101 + 0o20) + chr(56)))):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xed\x0c\xe8\x1a\xf2y+\xf8\x88\xb8k\xbc\xab'), chr(100) + chr(7742 - 7641) + chr(0b1100011) + chr(111) + chr(0b1001011 + 0o31) + chr(101))(chr(0b1110000 + 0o5) + chr(116) + chr(102) + '\055' + chr(0b101011 + 0o15)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\xed\x07\xe4\t\xcf0*'), chr(0b1100100) + chr(8466 - 8365) + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(12006 - 11889) + '\164' + chr(0b110011 + 0o63) + '\x2d' + '\x38') % wgamNHppspXj):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xed\x0c\xe8\x1a\xf2y+\xf8\x88\xb8k\xbc\xab'), chr(0b1100100) + chr(4480 - 4379) + chr(0b1000000 + 0o43) + '\157' + '\x64' + '\145')(chr(0b1110101) + chr(0b1001101 + 0o47) + chr(0b1100110) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xe9\x12\xe7$\xf1a:\xc2\x95\xafm\xa3\xa0'), '\144' + chr(0b10 + 0o143) + '\x63' + chr(0b1101111) + chr(1927 - 1827) + '\x65')(chr(117) + chr(116) + '\x66' + chr(45) + chr(1336 - 1280))):
SqiSOtYOqOJH = WOnrfm4dlYcf.multihead_attention(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), None, Z0c2rFCFDCFc, n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, n4ljua2gi1Pr.RdMRr3qkYioQ)
OeWW0F1dBPRQ = jSKPaHwSAfVv.layer_postprocess(OeWW0F1dBPRQ, SqiSOtYOqOJH, n4ljua2gi1Pr)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xed\x0c\xe8\x1a\xf2y+\xf8\x88\xb8k\xbc\xab'), chr(0b1100100) + '\145' + '\x63' + chr(0b1100110 + 0o11) + chr(7848 - 7748) + chr(0b1100101))(chr(4972 - 4855) + chr(116) + chr(102) + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd\xea\x10'), chr(0b1100100) + chr(101) + '\x63' + '\157' + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b111101 + 0o67) + chr(102) + chr(747 - 702) + '\x38')):
SqiSOtYOqOJH = jSKPaHwSAfVv.conv_hidden_relu(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), n4ljua2gi1Pr.deybX8NJ0oEI, n4ljua2gi1Pr.qzoyXN3kdhDL, dropout=n4ljua2gi1Pr.PJc0PNdBnSag)
OeWW0F1dBPRQ = jSKPaHwSAfVv.layer_postprocess(OeWW0F1dBPRQ, SqiSOtYOqOJH, n4ljua2gi1Pr)
return xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\xed\x07\xe4\t\xcfe<\xc2\x8b\xa9k\xaf\xab\xfe\xf2'), '\x64' + chr(6059 - 5958) + chr(2780 - 2681) + chr(7460 - 7349) + '\x64' + chr(6649 - 6548))(chr(7307 - 7190) + '\x74' + chr(102) + chr(386 - 341) + chr(0b111000)))(OeWW0F1dBPRQ, n4ljua2gi1Pr)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/attention_lm.py
|
attention_lm_base
|
def attention_lm_base():
"""Set of hyperparameters."""
hparams = common_hparams.basic_params1()
hparams.hidden_size = 1024
hparams.batch_size = 8192
hparams.max_length = 256
hparams.dropout = 0.0
hparams.clip_grad_norm = 0. # i.e. no gradient clipping
hparams.optimizer_adam_epsilon = 1e-9
hparams.learning_rate_decay_scheme = "noam"
hparams.learning_rate = 0.1
hparams.learning_rate_warmup_steps = 2000
hparams.initializer_gain = 1.0
hparams.num_hidden_layers = 6
hparams.initializer = "uniform_unit_scaling"
hparams.weight_decay = 0.0
hparams.optimizer_adam_beta1 = 0.9
hparams.optimizer_adam_beta2 = 0.98
hparams.label_smoothing = 0.0
hparams.shared_embedding_and_softmax_weights = False
hparams.add_hparam("filter_size", 4096) # Add new ones like this.
# attention-related flags
hparams.add_hparam("num_heads", 8)
hparams.add_hparam("attention_key_channels", 0)
hparams.add_hparam("attention_value_channels", 0)
# All hyperparameters ending in "dropout" are automatically set to 0.0
# when not in training mode.
hparams.add_hparam("attention_dropout", 0.0)
hparams.add_hparam("relu_dropout", 0.0)
hparams.add_hparam("pos", "timing") # timing, none
hparams.add_hparam("encoder_full_attention", False)
return hparams
|
python
|
def attention_lm_base():
"""Set of hyperparameters."""
hparams = common_hparams.basic_params1()
hparams.hidden_size = 1024
hparams.batch_size = 8192
hparams.max_length = 256
hparams.dropout = 0.0
hparams.clip_grad_norm = 0. # i.e. no gradient clipping
hparams.optimizer_adam_epsilon = 1e-9
hparams.learning_rate_decay_scheme = "noam"
hparams.learning_rate = 0.1
hparams.learning_rate_warmup_steps = 2000
hparams.initializer_gain = 1.0
hparams.num_hidden_layers = 6
hparams.initializer = "uniform_unit_scaling"
hparams.weight_decay = 0.0
hparams.optimizer_adam_beta1 = 0.9
hparams.optimizer_adam_beta2 = 0.98
hparams.label_smoothing = 0.0
hparams.shared_embedding_and_softmax_weights = False
hparams.add_hparam("filter_size", 4096) # Add new ones like this.
# attention-related flags
hparams.add_hparam("num_heads", 8)
hparams.add_hparam("attention_key_channels", 0)
hparams.add_hparam("attention_value_channels", 0)
# All hyperparameters ending in "dropout" are automatically set to 0.0
# when not in training mode.
hparams.add_hparam("attention_dropout", 0.0)
hparams.add_hparam("relu_dropout", 0.0)
hparams.add_hparam("pos", "timing") # timing, none
hparams.add_hparam("encoder_full_attention", False)
return hparams
|
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"# All hyperparameters ending in \"dropout\" are automatically set to 0.0",
"# when not in training mode.",
"hparams",
".",
"add_hparam",
"(",
"\"attention_dropout\"",
",",
"0.0",
")",
"hparams",
".",
"add_hparam",
"(",
"\"relu_dropout\"",
",",
"0.0",
")",
"hparams",
".",
"add_hparam",
"(",
"\"pos\"",
",",
"\"timing\"",
")",
"# timing, none",
"hparams",
".",
"add_hparam",
"(",
"\"encoder_full_attention\"",
",",
"False",
")",
"return",
"hparams"
] |
Set of hyperparameters.
|
[
"Set",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/attention_lm.py#L131-L163
|
train
|
Set of hyperparameters.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(55) + chr(49), 6822 - 6814), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\064' + chr(1949 - 1900), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(1476 - 1427) + chr(0b110001) + chr(1949 - 1896), 17241 - 17233), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110100) + chr(0b110100), 53981 - 53973), ehT0Px3KOsy9(chr(1872 - 1824) + chr(111) + chr(0b110100) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b101010 + 0o12), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(1830 - 1780) + chr(0b110100) + '\x35', 0b1000), ehT0Px3KOsy9(chr(765 - 717) + chr(111) + '\x33' + chr(2080 - 2030) + chr(1478 - 1429), ord("\x08")), ehT0Px3KOsy9(chr(2282 - 2234) + chr(2934 - 2823) + chr(0b101100 + 0o6) + chr(48) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\x37' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b101111 + 0o100) + chr(2388 - 2335) + chr(0b11101 + 0o31), 0o10), ehT0Px3KOsy9('\060' + chr(10406 - 10295) + '\x31' + chr(0b10101 + 0o37), 0o10), ehT0Px3KOsy9(chr(101 - 53) + '\157' + '\063' + chr(0b110001 + 0o0) + '\x37', 46063 - 46055), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110 + 0o54) + '\060', 0b1000), ehT0Px3KOsy9(chr(150 - 102) + '\x6f' + '\063' + chr(1230 - 1180) + chr(0b10101 + 0o34), 8), ehT0Px3KOsy9('\060' + '\157' + chr(2215 - 2165) + '\x37' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101 + 0o55) + '\x37' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1962 - 1914) + chr(111) + '\062' + '\x35' + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\064' + chr(53), 15821 - 15813), ehT0Px3KOsy9(chr(2268 - 2220) + '\157' + chr(0b100100 + 0o17) + '\065' + '\063', 52643 - 52635), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b101001 + 0o10) + chr(942 - 888) + chr(0b0 + 0o61), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x34' + chr(0b11111 + 0o30), 0o10), ehT0Px3KOsy9(chr(2047 - 1999) + chr(0b1100100 + 0o13) + chr(0b101000 + 0o12) + chr(873 - 819) + chr(53), 0b1000), ehT0Px3KOsy9(chr(302 - 254) + chr(0b1101111) + chr(49) + chr(53) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + chr(0b100100 + 0o20) + chr(0b110011 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(0b110011) + '\x33', 0o10), ehT0Px3KOsy9(chr(306 - 258) + chr(0b1101010 + 0o5) + '\x34' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(1875 - 1824) + '\061' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + '\x37' + chr(0b100110 + 0o16), 0o10), ehT0Px3KOsy9(chr(1213 - 1165) + chr(0b1001110 + 0o41) + '\063' + '\060' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\x33' + chr(2031 - 1983), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(53) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1849 - 1798) + chr(0b110000) + chr(55), 19877 - 19869), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10100 + 0o36) + chr(55) + chr(2134 - 2084), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\x36' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10100 + 0o36) + chr(0b110100) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(48) + chr(0b11000 + 0o37), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(1953 - 1901) + chr(0b110001), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(1536 - 1425) + chr(53) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x17'), chr(2348 - 2248) + chr(1271 - 1170) + chr(4248 - 4149) + '\157' + chr(100) + '\145')(chr(0b1000111 + 0o56) + chr(116) + '\x66' + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def snwl9VfuYyo9():
n4ljua2gi1Pr = vLnG3ZpOXWXZ.basic_params1()
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110000) + chr(0b110000) + '\060', 0o10)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(1761 - 1713) + chr(0b100010 + 0o115) + chr(50) + '\x30' + chr(0b110000) + chr(327 - 279) + chr(48), ord("\x08"))
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + '\064' + chr(0b110000) + chr(48), 0o10)
n4ljua2gi1Pr.ag0mwEgWzjYv = 0.0
n4ljua2gi1Pr.SdNSZNVkVjLh = 0.0
n4ljua2gi1Pr.o17O_bIptWdl = 1e-09
n4ljua2gi1Pr.v3ZnJE9Hdub1 = xafqLlk3kkUe(SXOLrMavuUCe(b'W\x0e,\t'), chr(100) + chr(0b111110 + 0o47) + chr(1862 - 1763) + chr(12090 - 11979) + '\x64' + chr(0b1110 + 0o127))(chr(5533 - 5416) + chr(116) + chr(102) + chr(45) + chr(0b111000))
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.1
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(48) + '\157' + chr(407 - 356) + chr(0b11 + 0o64) + '\062' + chr(547 - 499), 34138 - 34130)
n4ljua2gi1Pr.S1SbCBXLapw8 = 1.0
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(0b110000) + chr(11667 - 11556) + chr(0b1010 + 0o54), 0o10)
n4ljua2gi1Pr.kwfuYzkY5C57 = xafqLlk3kkUe(SXOLrMavuUCe(b'L\x0f$\x02Kf\xc8\x8e\xf7\x92Gx\x90ds\xb0\xd6\xd5\xc0B'), chr(0b1010 + 0o132) + chr(1898 - 1797) + chr(0b1001110 + 0o25) + '\157' + chr(100) + '\145')(chr(117) + '\x74' + chr(1102 - 1000) + '\055' + chr(0b100100 + 0o24))
n4ljua2gi1Pr.eB4rJl6fUxw9 = 0.0
n4ljua2gi1Pr.GcOjyd7zcDH8 = 0.9
n4ljua2gi1Pr.CBOVKNT0M9cG = 0.98
n4ljua2gi1Pr.FSjUgdaczzRk = 0.0
n4ljua2gi1Pr.qVamxim0L2I1 = ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b110000), ord("\x08"))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'X\x05);Ld\xc4\xa3\xe3\x91'), chr(100) + '\145' + '\143' + '\x6f' + chr(0b1100100) + chr(0b1100101))('\x75' + '\x74' + chr(0b1100 + 0o132) + chr(561 - 516) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'_\x08!\x10Af\xfa\xa2\xeb\x86K'), chr(100) + chr(101) + '\143' + '\157' + '\x64' + '\145')(chr(0b101101 + 0o110) + '\x74' + '\146' + chr(631 - 586) + chr(56)), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(49) + chr(0b101001 + 0o7) + chr(0b110000) + chr(0b110000) + chr(1242 - 1194), 61292 - 61284))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'X\x05);Ld\xc4\xa3\xe3\x91'), '\144' + chr(101) + chr(0b101001 + 0o72) + chr(111) + chr(0b1100011 + 0o1) + chr(0b1001011 + 0o32))(chr(0b1110101) + '\x74' + chr(6086 - 5984) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'W\x14 ;Lq\xc4\xb5\xf1'), chr(0b110011 + 0o61) + chr(101) + chr(0b1100011) + '\x6f' + '\x64' + '\x65')('\x75' + chr(0b1110100) + chr(2642 - 2540) + '\055' + chr(0b11000 + 0o40)), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1479 - 1430) + chr(48), 3139 - 3131))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'X\x05);Ld\xc4\xa3\xe3\x91'), chr(100) + '\145' + '\x63' + chr(111) + chr(0b1100100) + chr(0b1011100 + 0o11))('\x75' + chr(851 - 735) + chr(7421 - 7319) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'X\x159\x01J`\xcc\xbe\xec\xa3Ei\xb6Hs\xb9\xdb\xd2\xc0@\x87\x02'), '\144' + chr(5781 - 5680) + '\143' + chr(0b1001101 + 0o42) + chr(0b110011 + 0o61) + chr(0b11001 + 0o114))('\165' + chr(0b1001101 + 0o47) + '\146' + chr(45) + chr(0b1001 + 0o57)), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101 + 0o142) + chr(1355 - 1307), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'X\x05);Ld\xc4\xa3\xe3\x91'), chr(3563 - 3463) + '\145' + chr(5334 - 5235) + chr(0b1101111) + chr(100) + chr(0b10000 + 0o125))(chr(117) + '\164' + chr(0b110100 + 0o62) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'X\x159\x01J`\xcc\xbe\xec\xa3Xm\xa3bu\x8e\xd9\xd4\xcfK\x85\x14\xcb\xc6'), chr(9053 - 8953) + chr(0b1001110 + 0o27) + chr(0b1100011) + chr(111) + chr(100) + '\x65')(chr(117) + '\x74' + '\x66' + chr(0b101101) + chr(1315 - 1259)), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(48), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'X\x05);Ld\xc4\xa3\xe3\x91'), '\144' + chr(0b1001100 + 0o31) + chr(0b10001 + 0o122) + '\x6f' + '\x64' + chr(0b111110 + 0o47))(chr(0b1001101 + 0o50) + chr(1036 - 920) + '\x66' + chr(0b101101) + chr(1962 - 1906)))(xafqLlk3kkUe(SXOLrMavuUCe(b'X\x159\x01J`\xcc\xbe\xec\xa3J~\xa0g\x7f\xa4\xce'), chr(100) + '\x65' + chr(0b10011 + 0o120) + '\x6f' + '\144' + chr(0b1000011 + 0o42))(chr(0b1101001 + 0o14) + '\164' + chr(3039 - 2937) + chr(586 - 541) + chr(1995 - 1939)), 0.0)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'X\x05);Ld\xc4\xa3\xe3\x91'), '\x64' + chr(6419 - 6318) + chr(4955 - 4856) + chr(0b1101111) + chr(5681 - 5581) + chr(6523 - 6422))(chr(0b1110101) + chr(116) + chr(102) + chr(1693 - 1648) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'K\x04!\x11{p\xd7\xbe\xf2\x93[x'), '\144' + chr(101) + chr(0b100010 + 0o101) + '\x6f' + chr(4182 - 4082) + '\145')('\x75' + '\x74' + '\x66' + chr(1490 - 1445) + chr(0b101110 + 0o12)), 0.0)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'X\x05);Ld\xc4\xa3\xe3\x91'), chr(0b100001 + 0o103) + '\x65' + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')(chr(0b1010100 + 0o41) + chr(0b1110100) + chr(102) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'I\x0e>'), '\144' + chr(0b1100101) + chr(99) + '\157' + chr(100) + '\x65')('\x75' + chr(0b1101100 + 0o10) + '\146' + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'M\x08 \rJs'), chr(0b1100100) + chr(9169 - 9068) + '\x63' + chr(0b1101111) + chr(0b10101 + 0o117) + '\145')('\165' + chr(0b1000100 + 0o60) + chr(102) + chr(0b101001 + 0o4) + '\x38'))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'X\x05);Ld\xc4\xa3\xe3\x91'), chr(0b1001100 + 0o30) + chr(6419 - 6318) + chr(99) + chr(111) + chr(100) + chr(619 - 518))(chr(0b1110101) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\\\x0f.\x0b@q\xd7\x8e\xe4\x89B`\x90vd\xa5\xdf\xd2\xdaL\x84\x1f'), chr(100) + chr(0b1100101) + chr(0b11101 + 0o106) + chr(7661 - 7550) + chr(8714 - 8614) + chr(0b10001 + 0o124))(chr(6621 - 6504) + chr(116) + chr(0b1001100 + 0o32) + chr(59 - 14) + '\070'), ehT0Px3KOsy9('\060' + '\x6f' + '\x30', 8))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/attention_lm.py
|
attention_lm_small
|
def attention_lm_small():
"""Cheap model.
on lm1b_32k:
45M params
2 steps/sec on [GeForce GTX TITAN X]
Returns:
an hparams object.
"""
hparams = attention_lm_base()
hparams.num_hidden_layers = 4
hparams.hidden_size = 512
hparams.filter_size = 2048
hparams.layer_prepostprocess_dropout = 0.5
return hparams
|
python
|
def attention_lm_small():
"""Cheap model.
on lm1b_32k:
45M params
2 steps/sec on [GeForce GTX TITAN X]
Returns:
an hparams object.
"""
hparams = attention_lm_base()
hparams.num_hidden_layers = 4
hparams.hidden_size = 512
hparams.filter_size = 2048
hparams.layer_prepostprocess_dropout = 0.5
return hparams
|
[
"def",
"attention_lm_small",
"(",
")",
":",
"hparams",
"=",
"attention_lm_base",
"(",
")",
"hparams",
".",
"num_hidden_layers",
"=",
"4",
"hparams",
".",
"hidden_size",
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"filter_size",
"=",
"2048",
"hparams",
".",
"layer_prepostprocess_dropout",
"=",
"0.5",
"return",
"hparams"
] |
Cheap model.
on lm1b_32k:
45M params
2 steps/sec on [GeForce GTX TITAN X]
Returns:
an hparams object.
|
[
"Cheap",
"model",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/attention_lm.py#L167-L182
|
train
|
Cheap model.
on lm1b_32k.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(49) + '\x36' + chr(634 - 580), 0b1000), ehT0Px3KOsy9(chr(244 - 196) + '\157' + chr(51) + chr(0b1 + 0o65) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110101) + chr(0b100101 + 0o20), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10010 + 0o40) + chr(0b110011) + chr(0b1110 + 0o50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7605 - 7494) + chr(1956 - 1906) + chr(0b1111 + 0o47) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\x35' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\062' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(1497 - 1448) + '\061' + chr(2922 - 2867), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b11101 + 0o24) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(951 - 901) + chr(186 - 135), 0b1000), ehT0Px3KOsy9(chr(637 - 589) + chr(0b1010101 + 0o32) + chr(2561 - 2510) + chr(0b110001) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(8386 - 8275) + '\063' + chr(0b10001 + 0o41) + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + '\x31' + chr(1968 - 1918) + chr(279 - 229), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010 + 0o0) + '\066' + '\064', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(788 - 738) + chr(0b110101) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(0b1110 + 0o43) + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(161 - 112) + chr(0b10101 + 0o33) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(2295 - 2247) + chr(0b1101111) + chr(1858 - 1807) + chr(0b101110 + 0o3) + chr(592 - 541), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b11010 + 0o31) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2663 - 2608) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100000 + 0o21) + chr(52) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(54) + chr(1422 - 1374), 8), ehT0Px3KOsy9(chr(227 - 179) + chr(0b1000000 + 0o57) + chr(696 - 647) + chr(0b1110 + 0o44) + chr(0b1010 + 0o50), 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + '\066' + chr(0b101111 + 0o5), 47358 - 47350), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b10110 + 0o131) + chr(51) + chr(0b100011 + 0o21) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1001 + 0o51) + chr(52), 30362 - 30354), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(4778 - 4667) + chr(0b101001 + 0o12) + chr(0b101011 + 0o13) + chr(0b110000), 8), ehT0Px3KOsy9(chr(2299 - 2251) + '\x6f' + '\x33' + chr(1002 - 948), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1105 - 994) + chr(51) + chr(0b110100) + chr(0b1100 + 0o47), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(52) + '\061', 34978 - 34970), ehT0Px3KOsy9('\060' + chr(3497 - 3386) + chr(0b110010) + '\062' + chr(939 - 887), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2373 - 2324) + chr(50) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(876 - 827) + chr(54) + chr(50), 19051 - 19043), ehT0Px3KOsy9('\060' + chr(12237 - 12126) + chr(664 - 614) + chr(1474 - 1422) + '\x31', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + '\x33', 0b1000), ehT0Px3KOsy9(chr(771 - 723) + chr(0b1010101 + 0o32) + chr(51) + '\x32' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\061' + chr(0b100100 + 0o17), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b111 + 0o54) + '\061' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\064' + chr(0b0 + 0o60), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + chr(0b1110 + 0o42), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'X'), chr(0b1100100) + '\145' + chr(3743 - 3644) + chr(111) + chr(100) + chr(101))(chr(117) + '\164' + chr(102) + chr(274 - 229) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def C8cqx48ZWazB():
n4ljua2gi1Pr = snwl9VfuYyo9()
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(491 - 439), 33818 - 33810)
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b110000) + chr(48) + chr(72 - 24), ord("\x08"))
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9(chr(1401 - 1353) + '\x6f' + chr(0b101 + 0o57) + chr(0b1001 + 0o47) + chr(666 - 618) + chr(0b110000), 33542 - 33534)
n4ljua2gi1Pr.RW_xSzp18UeS = 0.5
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/attention_lm.py
|
attention_lm_translation
|
def attention_lm_translation():
"""Version to use for seq2seq."""
hparams = attention_lm_base()
hparams.layer_preprocess_sequence = "n"
hparams.layer_postprocess_sequence = "da"
hparams.learning_rate = 0.4
hparams.prepend_mode = "prepend_inputs_masked_attention"
hparams.max_length = 512
hparams.label_smoothing = 0.1
hparams.shared_embedding_and_softmax_weights = True
return hparams
|
python
|
def attention_lm_translation():
"""Version to use for seq2seq."""
hparams = attention_lm_base()
hparams.layer_preprocess_sequence = "n"
hparams.layer_postprocess_sequence = "da"
hparams.learning_rate = 0.4
hparams.prepend_mode = "prepend_inputs_masked_attention"
hparams.max_length = 512
hparams.label_smoothing = 0.1
hparams.shared_embedding_and_softmax_weights = True
return hparams
|
[
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")",
":",
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"attention_lm_base",
"(",
")",
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".",
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".",
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"512",
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"label_smoothing",
"=",
"0.1",
"hparams",
".",
"shared_embedding_and_softmax_weights",
"=",
"True",
"return",
"hparams"
] |
Version to use for seq2seq.
|
[
"Version",
"to",
"use",
"for",
"seq2seq",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/attention_lm.py#L186-L196
|
train
|
Version to use for seq2seq.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(11243 - 11132) + chr(0b110010) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\x33' + '\x31', 62270 - 62262), ehT0Px3KOsy9(chr(334 - 286) + '\x6f' + '\x32' + chr(0b100001 + 0o24) + chr(0b100 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10789 - 10678) + chr(0b110011) + chr(0b101110 + 0o5), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1486 - 1435) + chr(0b100111 + 0o17) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(6108 - 5997) + chr(2109 - 2058) + chr(0b10 + 0o57), 0o10), ehT0Px3KOsy9(chr(1047 - 999) + chr(111) + '\066' + chr(677 - 623), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(53) + chr(1761 - 1711), 63199 - 63191), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + '\x32' + chr(1974 - 1926) + chr(0b111 + 0o54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(48) + '\x34', 2070 - 2062), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b110000 + 0o77) + '\062' + chr(0b110001) + chr(0b101000 + 0o12), 0b1000), ehT0Px3KOsy9('\060' + chr(9678 - 9567) + chr(0b110001) + '\x33' + chr(0b11001 + 0o34), 22074 - 22066), ehT0Px3KOsy9(chr(809 - 761) + chr(0b110010 + 0o75) + chr(0b110010) + chr(0b110000) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\064' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(0b100001 + 0o23) + chr(0b101110 + 0o7), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + chr(51) + chr(0b10101 + 0o40) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11001 - 10890) + chr(1707 - 1658) + chr(0b101101 + 0o4) + chr(627 - 578), 56332 - 56324), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(48) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(0b110000) + chr(0b11101 + 0o32), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11804 - 11693) + '\x33' + chr(0b110010) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(2398 - 2349) + '\x33' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b11110 + 0o121) + chr(0b110001) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(659 - 611) + chr(930 - 819) + chr(0b110010) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(623 - 572) + chr(1506 - 1457), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101000 + 0o7) + '\x33' + '\065' + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(676 - 565) + chr(0b10100 + 0o43) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b0 + 0o61) + chr(2011 - 1963) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101001 + 0o12) + chr(146 - 94) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100000 + 0o23) + chr(0b101110 + 0o3) + chr(0b11000 + 0o31), 8492 - 8484), ehT0Px3KOsy9('\060' + chr(8103 - 7992) + '\x33' + chr(1106 - 1055), 8), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\062' + '\063', 8), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1001010 + 0o45) + '\061' + chr(0b0 + 0o65) + chr(334 - 279), 59701 - 59693), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + '\x33' + '\x33' + chr(841 - 787), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + '\x31' + chr(2101 - 2051) + '\x31', 52854 - 52846), ehT0Px3KOsy9(chr(1535 - 1487) + '\x6f' + '\065' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + '\x32' + '\x30' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100100 + 0o21) + chr(0b110000 + 0o2), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(3052 - 2941) + chr(1417 - 1362) + chr(52), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1111 + 0o140) + '\065' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'?'), chr(0b1100100) + '\145' + chr(7821 - 7722) + chr(0b1101111) + '\x64' + chr(0b111011 + 0o52))(chr(117) + chr(0b1011110 + 0o26) + chr(1398 - 1296) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WulIoP9d5Mmo():
n4ljua2gi1Pr = snwl9VfuYyo9()
n4ljua2gi1Pr.WjY1aZ7lwLOu = xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f'), '\x64' + chr(4790 - 4689) + '\143' + chr(0b1000001 + 0o56) + '\x64' + chr(101))(chr(0b1110101) + chr(0b100111 + 0o115) + chr(9467 - 9365) + chr(479 - 434) + '\x38')
n4ljua2gi1Pr.s6T_PoakASTI = xafqLlk3kkUe(SXOLrMavuUCe(b'u8'), '\144' + chr(0b1100101) + chr(99) + chr(0b1011010 + 0o25) + chr(5493 - 5393) + chr(101))(chr(117) + chr(9609 - 9493) + '\146' + chr(377 - 332) + chr(0b111000))
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.4
n4ljua2gi1Pr.qr_7laJirAn2 = xafqLlk3kkUe(SXOLrMavuUCe(b'a+\xcbk\x97r}i\x03\xed\xf4\xff)\xf5~H\x8d:\xab\xa2\xb7\x04kgmi\x84K.\x89\xa7'), '\144' + '\145' + chr(0b1100011) + chr(0b101000 + 0o107) + chr(4685 - 4585) + '\145')(chr(8122 - 8005) + chr(0b101100 + 0o110) + chr(0b1100110) + '\055' + '\070')
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\x30' + '\060' + chr(48), ord("\x08"))
n4ljua2gi1Pr.FSjUgdaczzRk = 0.1
n4ljua2gi1Pr.qVamxim0L2I1 = ehT0Px3KOsy9('\x30' + '\157' + chr(0b111 + 0o52), 0b1000)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/bleu_hook.py
|
_get_ngrams
|
def _get_ngrams(segment, max_order):
"""Extracts all n-grams up to a given maximum order from an input segment.
Args:
segment: text segment from which n-grams will be extracted.
max_order: maximum length in tokens of the n-grams returned by this
methods.
Returns:
The Counter containing all n-grams up to max_order in segment
with a count of how many times each n-gram occurred.
"""
ngram_counts = collections.Counter()
for order in range(1, max_order + 1):
for i in range(0, len(segment) - order + 1):
ngram = tuple(segment[i:i + order])
ngram_counts[ngram] += 1
return ngram_counts
|
python
|
def _get_ngrams(segment, max_order):
"""Extracts all n-grams up to a given maximum order from an input segment.
Args:
segment: text segment from which n-grams will be extracted.
max_order: maximum length in tokens of the n-grams returned by this
methods.
Returns:
The Counter containing all n-grams up to max_order in segment
with a count of how many times each n-gram occurred.
"""
ngram_counts = collections.Counter()
for order in range(1, max_order + 1):
for i in range(0, len(segment) - order + 1):
ngram = tuple(segment[i:i + order])
ngram_counts[ngram] += 1
return ngram_counts
|
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] |
Extracts all n-grams up to a given maximum order from an input segment.
Args:
segment: text segment from which n-grams will be extracted.
max_order: maximum length in tokens of the n-grams returned by this
methods.
Returns:
The Counter containing all n-grams up to max_order in segment
with a count of how many times each n-gram occurred.
|
[
"Extracts",
"all",
"n",
"-",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/bleu_hook.py#L40-L57
|
train
|
Extracts all n - grams from a given text segment.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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' + '\x33' + chr(52), 27590 - 27582), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + chr(0b100110 + 0o15) + chr(50) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x36' + chr(1382 - 1334), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + chr(0b110001 + 0o2) + chr(0b110000) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + '\x32' + chr(0b110001) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\x34' + chr(2626 - 2572), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111101 + 0o62) + '\063' + chr(0b110111) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1675 - 1627) + '\157' + '\x31' + '\060' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1538 - 1490) + chr(111) + chr(679 - 629) + '\067' + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100011 + 0o20) + '\x35' + chr(0b1000 + 0o56), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(49) + chr(0b10 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(1439 - 1391) + '\157' + chr(951 - 900) + chr(54) + chr(0b101110 + 0o10), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(0b10100 + 0o37) + chr(598 - 546) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(53) + '\x31', 60121 - 60113), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b11011 + 0o30) + chr(52) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4127 - 4016) + '\x32' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(258 - 210) + chr(111) + chr(0b110010) + chr(0b110001) + chr(0b11011 + 0o30), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + chr(0b110010) + '\x33' + '\065', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b1000 + 0o53) + '\060' + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(1681 - 1629) + chr(50), 8), ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + chr(0b11010 + 0o30) + chr(0b100001 + 0o17), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(402 - 352) + '\x33' + chr(416 - 365), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5764 - 5653) + chr(0b10100 + 0o37) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110101) + chr(0b11010 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(116 - 68) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4790 - 4679) + chr(2536 - 2485) + chr(2450 - 2399) + chr(2045 - 1996), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5638 - 5527) + '\x31' + chr(1513 - 1465) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000) + chr(8022 - 7911) + '\063' + chr(0b11000 + 0o36) + chr(52), 54374 - 54366), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + chr(0b10 + 0o57) + chr(55) + chr(0b101111 + 0o3), 54643 - 54635), ehT0Px3KOsy9('\x30' + chr(111) + chr(53) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(55) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(50) + '\x36' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1847 - 1799) + '\x6f' + chr(0b10 + 0o60) + '\x36' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(2965 - 2910) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1080 - 1032) + chr(0b110000 + 0o77) + '\x33' + chr(0b10011 + 0o42) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + '\x31' + chr(2220 - 2168) + chr(0b110100), 2557 - 2549), ehT0Px3KOsy9(chr(1809 - 1761) + chr(0b111 + 0o150) + chr(1738 - 1688) + '\063', 30888 - 30880), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b110110) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(0b110010) + '\061', 21692 - 21684), ehT0Px3KOsy9('\060' + chr(0b1001110 + 0o41) + chr(0b110001) + '\060' + '\061', 11910 - 11902)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(448 - 400) + '\x6f' + chr(0b110101) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'2'), '\144' + '\x65' + '\x63' + '\157' + chr(3461 - 3361) + chr(9136 - 9035))(chr(11414 - 11297) + chr(0b1110100) + chr(6880 - 6778) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def U5y_eLalhMou(_Wv4RRy2aVmP, UEZwadfGddk4):
YxOgM4oUFAKH = FGhnnwoh1Dd8.Counter()
for hO2LnONV9lny in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1527 - 1478), 0b1000), UEZwadfGddk4 + ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + chr(1024 - 975), 8)):
for WVxHKyX45z_L in vQr8gNKaIaWE(ehT0Px3KOsy9('\x30' + chr(3990 - 3879) + '\x30', 0o10), c2A0yzQpDQB3(_Wv4RRy2aVmP) - hO2LnONV9lny + ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(49), 8)):
bUEAX8wtRZsn = KNyTy8rYcwji(_Wv4RRy2aVmP[WVxHKyX45z_L:WVxHKyX45z_L + hO2LnONV9lny])
YxOgM4oUFAKH[bUEAX8wtRZsn] += ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(595 - 546), 8)
return YxOgM4oUFAKH
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/bleu_hook.py
|
bleu_score
|
def bleu_score(predictions, labels, **unused_kwargs):
"""BLEU score computation between labels and predictions.
An approximate BLEU scoring method since we do not glue word pieces or
decode the ids and tokenize the output. By default, we use ngram order of 4
and use brevity penalty. Also, this does not have beam search.
Args:
predictions: tensor, model predictions
labels: tensor, gold output.
Returns:
bleu: int, approx bleu score
"""
outputs = tf.to_int32(tf.argmax(predictions, axis=-1))
# Convert the outputs and labels to a [batch_size, input_length] tensor.
outputs = tf.squeeze(outputs, axis=[-1, -2])
labels = tf.squeeze(labels, axis=[-1, -2])
bleu = tf.py_func(compute_bleu, (labels, outputs), tf.float32)
return bleu, tf.constant(1.0)
|
python
|
def bleu_score(predictions, labels, **unused_kwargs):
"""BLEU score computation between labels and predictions.
An approximate BLEU scoring method since we do not glue word pieces or
decode the ids and tokenize the output. By default, we use ngram order of 4
and use brevity penalty. Also, this does not have beam search.
Args:
predictions: tensor, model predictions
labels: tensor, gold output.
Returns:
bleu: int, approx bleu score
"""
outputs = tf.to_int32(tf.argmax(predictions, axis=-1))
# Convert the outputs and labels to a [batch_size, input_length] tensor.
outputs = tf.squeeze(outputs, axis=[-1, -2])
labels = tf.squeeze(labels, axis=[-1, -2])
bleu = tf.py_func(compute_bleu, (labels, outputs), tf.float32)
return bleu, tf.constant(1.0)
|
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] |
BLEU score computation between labels and predictions.
An approximate BLEU scoring method since we do not glue word pieces or
decode the ids and tokenize the output. By default, we use ngram order of 4
and use brevity penalty. Also, this does not have beam search.
Args:
predictions: tensor, model predictions
labels: tensor, gold output.
Returns:
bleu: int, approx bleu score
|
[
"BLEU",
"score",
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"between",
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"and",
"predictions",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/bleu_hook.py#L132-L152
|
train
|
BLEU score computation between labels and predictions.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(51) + chr(0b10110 + 0o32) + chr(0b110111), 43536 - 43528), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55) + chr(0b10110 + 0o36), ord("\x08")), ehT0Px3KOsy9('\060' + chr(547 - 436) + chr(459 - 410) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1110 + 0o43) + chr(55) + chr(556 - 502), 59770 - 59762), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\x31' + chr(50) + '\060', 13513 - 13505), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + '\065' + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(2326 - 2275) + '\062' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(615 - 564) + '\067' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b110000 + 0o0) + '\061', 50925 - 50917), ehT0Px3KOsy9('\060' + '\157' + chr(124 - 72) + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2446 - 2396) + chr(0b110011) + chr(0b11001 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b10001 + 0o136) + '\x31' + chr(0b110111), 45890 - 45882), ehT0Px3KOsy9(chr(0b110000) + chr(7292 - 7181) + '\062' + '\064' + '\065', 55787 - 55779), ehT0Px3KOsy9(chr(1332 - 1284) + chr(7042 - 6931) + chr(655 - 606) + chr(52) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(53), 10437 - 10429), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1100010 + 0o15) + chr(52) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(4459 - 4348) + chr(0b11 + 0o62), 0o10), ehT0Px3KOsy9(chr(1432 - 1384) + chr(0b111111 + 0o60) + chr(0b1101 + 0o45) + '\x32' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000111 + 0o50) + chr(1636 - 1586) + chr(71 - 17) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b110001) + '\067' + chr(0b10000 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8075 - 7964) + '\x33' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1710 - 1599) + chr(0b110111) + chr(0b101000 + 0o12), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101100 + 0o7) + '\061' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(684 - 636) + chr(0b111101 + 0o62) + chr(55) + chr(0b1 + 0o60), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\065' + chr(48), 6501 - 6493), ehT0Px3KOsy9('\x30' + chr(7446 - 7335) + '\x32' + '\061' + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(6973 - 6862) + '\061' + chr(1771 - 1716) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b110001) + '\x30' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(86 - 35) + chr(0b110101) + '\066', 0b1000), ehT0Px3KOsy9(chr(1887 - 1839) + '\157' + chr(1853 - 1802) + chr(0b101000 + 0o17) + chr(0b1010 + 0o52), 0b1000), ehT0Px3KOsy9(chr(1850 - 1802) + '\157' + '\065', 8), ehT0Px3KOsy9(chr(209 - 161) + chr(0b10110 + 0o131) + '\062' + '\x36' + chr(53), 42198 - 42190), ehT0Px3KOsy9(chr(115 - 67) + '\157' + '\x37' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(729 - 681) + chr(0b111111 + 0o60) + chr(50) + '\060' + '\065', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b10010 + 0o41) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(1159 - 1110) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(0b1110 + 0o44) + '\067' + '\064', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1155 - 1104) + chr(53) + chr(0b1000 + 0o52), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + '\063' + '\067' + chr(917 - 866), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b101010 + 0o105) + chr(0b110011) + chr(0b10 + 0o57) + chr(53), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + chr(393 - 345), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9'), '\x64' + '\145' + chr(99) + chr(3842 - 3731) + '\x64' + '\145')('\x75' + chr(0b101111 + 0o105) + '\x66' + chr(0b1011 + 0o42) + chr(2397 - 2341)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def DutofmfAf65j(qIQi_VFCIFZL, uXMK81tmdpTM, **Dl7jGuYToI93):
Dx_DllZ8uCko = IDJ2eXGCBCDu.to_int32(IDJ2eXGCBCDu.argmax(qIQi_VFCIFZL, axis=-ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11010 + 0o27), 0b1000)))
Dx_DllZ8uCko = IDJ2eXGCBCDu.squeeze(Dx_DllZ8uCko, axis=[-ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(0b110001), 8), -ehT0Px3KOsy9(chr(518 - 470) + '\x6f' + chr(50), ord("\x08"))])
uXMK81tmdpTM = IDJ2eXGCBCDu.squeeze(uXMK81tmdpTM, axis=[-ehT0Px3KOsy9('\x30' + chr(0b10100 + 0o133) + '\061', 8), -ehT0Px3KOsy9('\x30' + '\157' + chr(0b101001 + 0o11), 8)])
mhxooG4aO82H = IDJ2eXGCBCDu.py_func(kz8NuSfrNDvI, (uXMK81tmdpTM, Dx_DllZ8uCko), IDJ2eXGCBCDu.float32)
return (mhxooG4aO82H, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4Sf\r$N\xbc\x8c'), chr(4607 - 4507) + chr(0b100101 + 0o100) + '\x63' + chr(708 - 597) + chr(0b1100100) + chr(101))('\165' + '\x74' + chr(3446 - 3344) + chr(1276 - 1231) + '\070'))(1.0))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/bleu_hook.py
|
bleu_tokenize
|
def bleu_tokenize(string):
r"""Tokenize a string following the official BLEU implementation.
See https://github.com/moses-smt/mosesdecoder/"
"blob/master/scripts/generic/mteval-v14.pl#L954-L983
In our case, the input string is expected to be just one line
and no HTML entities de-escaping is needed.
So we just tokenize on punctuation and symbols,
except when a punctuation is preceded and followed by a digit
(e.g. a comma/dot as a thousand/decimal separator).
Note that a number (e.g. a year) followed by a dot at the end of sentence
is NOT tokenized,
i.e. the dot stays with the number because `s/(\p{P})(\P{N})/ $1 $2/g`
does not match this case (unless we add a space after each sentence).
However, this error is already in the original mteval-v14.pl
and we want to be consistent with it.
Args:
string: the input string
Returns:
a list of tokens
"""
string = uregex.nondigit_punct_re.sub(r"\1 \2 ", string)
string = uregex.punct_nondigit_re.sub(r" \1 \2", string)
string = uregex.symbol_re.sub(r" \1 ", string)
return string.split()
|
python
|
def bleu_tokenize(string):
r"""Tokenize a string following the official BLEU implementation.
See https://github.com/moses-smt/mosesdecoder/"
"blob/master/scripts/generic/mteval-v14.pl#L954-L983
In our case, the input string is expected to be just one line
and no HTML entities de-escaping is needed.
So we just tokenize on punctuation and symbols,
except when a punctuation is preceded and followed by a digit
(e.g. a comma/dot as a thousand/decimal separator).
Note that a number (e.g. a year) followed by a dot at the end of sentence
is NOT tokenized,
i.e. the dot stays with the number because `s/(\p{P})(\P{N})/ $1 $2/g`
does not match this case (unless we add a space after each sentence).
However, this error is already in the original mteval-v14.pl
and we want to be consistent with it.
Args:
string: the input string
Returns:
a list of tokens
"""
string = uregex.nondigit_punct_re.sub(r"\1 \2 ", string)
string = uregex.punct_nondigit_re.sub(r" \1 \2", string)
string = uregex.symbol_re.sub(r" \1 ", string)
return string.split()
|
[
"def",
"bleu_tokenize",
"(",
"string",
")",
":",
"string",
"=",
"uregex",
".",
"nondigit_punct_re",
".",
"sub",
"(",
"r\"\\1 \\2 \"",
",",
"string",
")",
"string",
"=",
"uregex",
".",
"punct_nondigit_re",
".",
"sub",
"(",
"r\" \\1 \\2\"",
",",
"string",
")",
"string",
"=",
"uregex",
".",
"symbol_re",
".",
"sub",
"(",
"r\" \\1 \"",
",",
"string",
")",
"return",
"string",
".",
"split",
"(",
")"
] |
r"""Tokenize a string following the official BLEU implementation.
See https://github.com/moses-smt/mosesdecoder/"
"blob/master/scripts/generic/mteval-v14.pl#L954-L983
In our case, the input string is expected to be just one line
and no HTML entities de-escaping is needed.
So we just tokenize on punctuation and symbols,
except when a punctuation is preceded and followed by a digit
(e.g. a comma/dot as a thousand/decimal separator).
Note that a number (e.g. a year) followed by a dot at the end of sentence
is NOT tokenized,
i.e. the dot stays with the number because `s/(\p{P})(\P{N})/ $1 $2/g`
does not match this case (unless we add a space after each sentence).
However, this error is already in the original mteval-v14.pl
and we want to be consistent with it.
Args:
string: the input string
Returns:
a list of tokens
|
[
"r",
"Tokenize",
"a",
"string",
"following",
"the",
"official",
"BLEU",
"implementation",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/bleu_hook.py#L172-L199
|
train
|
Tokenize a string following the official BLEU implementation.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(2932 - 2821) + chr(49) + '\x36' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(131 - 83) + chr(0b1101111) + chr(49) + chr(0b110110) + chr(2269 - 2216), 0o10), ehT0Px3KOsy9(chr(48) + chr(2017 - 1906) + chr(1473 - 1423) + chr(0b110100 + 0o0) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(48) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1534 - 1486) + chr(111) + chr(0b110011) + chr(0b110100) + chr(0b110101), 43662 - 43654), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + chr(0b110010) + '\x31' + '\065', 53860 - 53852), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b110110) + chr(0b10 + 0o61), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(52) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1293 - 1245) + chr(0b100000 + 0o117) + '\062' + '\x34' + chr(0b11001 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(53) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(3338 - 3227) + chr(50) + '\063' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(513 - 464) + chr(48) + '\x34', 31124 - 31116), ehT0Px3KOsy9('\x30' + chr(0b111000 + 0o67) + chr(0b110010) + '\x31' + chr(54), 5291 - 5283), ehT0Px3KOsy9('\x30' + '\x6f' + chr(951 - 902) + chr(54) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(72 - 24) + '\157' + chr(0b110100) + chr(992 - 937), 35866 - 35858), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(0b110011) + chr(2463 - 2411) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\064' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b110101) + chr(0b110001 + 0o2), 35811 - 35803), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + '\063' + chr(0b100110 + 0o15) + chr(0b10001 + 0o46), 31737 - 31729), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(50) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + '\x33' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(1721 - 1673) + chr(2075 - 2025), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(49) + chr(0b110011 + 0o1), 0o10), ehT0Px3KOsy9('\x30' + chr(1445 - 1334) + chr(0b1010 + 0o50) + chr(1861 - 1807) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010 + 0o0) + '\060' + chr(0b1000 + 0o52), 56053 - 56045), ehT0Px3KOsy9(chr(1939 - 1891) + chr(0b101110 + 0o101) + chr(0b100011 + 0o20) + chr(0b100010 + 0o17) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(50) + chr(49) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b110101) + chr(1632 - 1579), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b10111 + 0o35) + chr(2808 - 2754), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\x33' + chr(1097 - 1048), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110011) + chr(2097 - 2045), 0o10), ehT0Px3KOsy9('\060' + chr(10798 - 10687) + chr(51) + chr(55) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1515 - 1467) + chr(0b1101111 + 0o0) + '\061' + '\061' + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(48) + chr(0b110111), 60690 - 60682), ehT0Px3KOsy9(chr(48) + chr(4238 - 4127) + '\063' + chr(50) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(1846 - 1795) + '\064' + chr(2110 - 2058), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b110001) + chr(0b110010 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + '\x36' + chr(343 - 290), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(903 - 850) + '\060', 3832 - 3824)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Y'), chr(0b1100100) + chr(7713 - 7612) + chr(996 - 897) + chr(0b1101111) + chr(0b1100100) + chr(5749 - 5648))(chr(117) + '\x74' + chr(102) + '\055' + chr(0b0 + 0o70)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def twvvtM1jew1k(YfpuhF1UI1FC):
YfpuhF1UI1FC = VjpIJ8lCgo6p.nondigit_punct_re.sub(xafqLlk3kkUe(SXOLrMavuUCe(b'+D\x86\x1a\xd7\xad'), chr(0b1100100) + chr(101) + chr(0b1010000 + 0o23) + chr(0b1101111) + chr(4773 - 4673) + '\145')(chr(0b1110101) + chr(10369 - 10253) + chr(102) + chr(0b101001 + 0o4) + '\070'), YfpuhF1UI1FC)
YfpuhF1UI1FC = VjpIJ8lCgo6p.punct_nondigit_re.sub(xafqLlk3kkUe(SXOLrMavuUCe(b'W)\x97f\xb9\xbf'), chr(0b1000101 + 0o37) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\145')('\165' + chr(12607 - 12491) + chr(102) + chr(0b101101) + '\x38'), YfpuhF1UI1FC)
YfpuhF1UI1FC = VjpIJ8lCgo6p.symbol_re.sub(xafqLlk3kkUe(SXOLrMavuUCe(b'W)\x97f'), '\x64' + chr(101) + chr(0b1100001 + 0o2) + chr(0b1101111) + '\x64' + chr(0b1100101))('\x75' + chr(116) + '\146' + '\x2d' + '\x38'), YfpuhF1UI1FC)
return xafqLlk3kkUe(YfpuhF1UI1FC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04\x05\xca/\x91'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b101010 + 0o73))(chr(0b1110101) + chr(9198 - 9082) + chr(0b1100110) + '\055' + chr(56)))()
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/bleu_hook.py
|
bleu_wrapper
|
def bleu_wrapper(ref_filename, hyp_filename, case_sensitive=False):
"""Compute BLEU for two files (reference and hypothesis translation)."""
ref_lines = text_encoder.native_to_unicode(
tf.gfile.Open(ref_filename, "r").read()).split("\n")
hyp_lines = text_encoder.native_to_unicode(
tf.gfile.Open(hyp_filename, "r").read()).split("\n")
assert len(ref_lines) == len(hyp_lines), ("{} != {}".format(
len(ref_lines), len(hyp_lines)))
if not case_sensitive:
ref_lines = [x.lower() for x in ref_lines]
hyp_lines = [x.lower() for x in hyp_lines]
ref_tokens = [bleu_tokenize(x) for x in ref_lines]
hyp_tokens = [bleu_tokenize(x) for x in hyp_lines]
return compute_bleu(ref_tokens, hyp_tokens)
|
python
|
def bleu_wrapper(ref_filename, hyp_filename, case_sensitive=False):
"""Compute BLEU for two files (reference and hypothesis translation)."""
ref_lines = text_encoder.native_to_unicode(
tf.gfile.Open(ref_filename, "r").read()).split("\n")
hyp_lines = text_encoder.native_to_unicode(
tf.gfile.Open(hyp_filename, "r").read()).split("\n")
assert len(ref_lines) == len(hyp_lines), ("{} != {}".format(
len(ref_lines), len(hyp_lines)))
if not case_sensitive:
ref_lines = [x.lower() for x in ref_lines]
hyp_lines = [x.lower() for x in hyp_lines]
ref_tokens = [bleu_tokenize(x) for x in ref_lines]
hyp_tokens = [bleu_tokenize(x) for x in hyp_lines]
return compute_bleu(ref_tokens, hyp_tokens)
|
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] |
Compute BLEU for two files (reference and hypothesis translation).
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/bleu_hook.py#L202-L215
|
train
|
Compute BLEU for two 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(282 - 234) + chr(0b1101111) + chr(50) + '\x32' + chr(0b110010 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(0b10001 + 0o42) + chr(1283 - 1234) + chr(54), 8674 - 8666), ehT0Px3KOsy9('\x30' + chr(8159 - 8048) + '\x31' + chr(0b110101), 55267 - 55259), ehT0Px3KOsy9(chr(2089 - 2041) + chr(0b1010100 + 0o33) + chr(0b101 + 0o56) + '\x35' + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(917 - 806) + chr(0b110001) + '\x34' + chr(1213 - 1163), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b10100 + 0o133) + chr(48), 60690 - 60682), ehT0Px3KOsy9(chr(0b110000) + chr(289 - 178) + chr(0b1000 + 0o53) + '\x33' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110001) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(0b110001 + 0o4) + chr(318 - 266), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6242 - 6131) + chr(51) + chr(0b110100) + '\066', 57918 - 57910), ehT0Px3KOsy9(chr(111 - 63) + chr(0b1101111) + chr(49) + chr(55) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(9168 - 9057) + chr(0b1 + 0o65) + chr(0b101 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7718 - 7607) + '\062' + chr(50) + '\x37', 17517 - 17509), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + chr(0b110010) + chr(48) + '\x31', 0b1000), ehT0Px3KOsy9(chr(295 - 247) + '\x6f' + chr(0b110110) + '\x32', 0o10), ehT0Px3KOsy9(chr(2142 - 2094) + chr(0b100100 + 0o113) + chr(0b110011) + '\x31' + chr(601 - 549), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + '\063' + chr(2081 - 2031) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(2495 - 2442) + chr(50), 31341 - 31333), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100110 + 0o15) + '\065' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(51) + chr(281 - 233) + '\x36', 3970 - 3962), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + chr(51) + chr(53) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(10065 - 9954) + chr(0b110010) + chr(0b110110 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b110011) + chr(55), 51780 - 51772), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(2061 - 1950) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b100100 + 0o21), 8), ehT0Px3KOsy9(chr(48) + chr(1700 - 1589) + chr(0b110001) + '\067' + chr(1542 - 1489), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + '\062' + '\x30' + chr(49), 8), ehT0Px3KOsy9(chr(2029 - 1981) + chr(0b1101111 + 0o0) + chr(0b110001) + chr(55), 32570 - 32562), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + '\x32' + '\x36', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\066' + chr(1501 - 1453), 21406 - 21398), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(131 - 76) + '\062', 8), ehT0Px3KOsy9(chr(48) + chr(6280 - 6169) + chr(299 - 248) + chr(0b10011 + 0o44) + chr(328 - 280), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + chr(0b110010) + '\x30' + chr(53), 26035 - 26027), ehT0Px3KOsy9('\x30' + chr(5134 - 5023) + chr(0b10111 + 0o34) + chr(2056 - 2006) + chr(0b101000 + 0o11), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4383 - 4272) + '\063' + chr(1474 - 1426) + chr(0b11110 + 0o24), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\065' + chr(0b110000), 50549 - 50541), ehT0Px3KOsy9('\060' + chr(5254 - 5143) + chr(50) + chr(2248 - 2194) + chr(1084 - 1031), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1011 + 0o50) + chr(0b10101 + 0o34) + chr(0b1100 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(145 - 94) + '\064' + chr(1172 - 1118), 8), ehT0Px3KOsy9(chr(1942 - 1894) + chr(111) + chr(1483 - 1432) + chr(2920 - 2865) + '\061', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(52 - 4) + '\157' + '\065' + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc'), chr(0b1010001 + 0o23) + chr(4791 - 4690) + '\143' + chr(0b1101111) + chr(7245 - 7145) + chr(0b1011000 + 0o15))(chr(117) + '\164' + chr(102) + chr(45) + chr(1422 - 1366)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def DHkAkMKDy1jV(yLTP2_7GfrpL, Ci_hScDeaG64, ygf0ckQbTwIK=ehT0Px3KOsy9(chr(2082 - 2034) + '\157' + '\060', 8)):
QtlzmD2qTwsJ = nCRDzZ_Is9fz.native_to_unicode(IDJ2eXGCBCDu.gfile.Open(yLTP2_7GfrpL, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0'), chr(0b1100100 + 0o0) + chr(4570 - 4469) + '\x63' + chr(4455 - 4344) + chr(0b1100100) + '\145')(chr(0b1 + 0o164) + chr(1412 - 1296) + chr(0b1100110) + chr(0b101101) + chr(56))).read()).split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x98'), '\144' + chr(101) + '\x63' + '\157' + chr(100) + '\x65')(chr(0b1010 + 0o153) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000)))
SD7xE9Zjmw2U = nCRDzZ_Is9fz.native_to_unicode(IDJ2eXGCBCDu.gfile.Open(Ci_hScDeaG64, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0'), '\x64' + chr(101) + chr(99) + '\157' + '\144' + chr(9396 - 9295))(chr(117) + chr(8571 - 8455) + chr(0b1100110) + chr(45) + chr(0b10 + 0o66))).read()).split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x98'), chr(0b1100100) + '\x65' + chr(99) + chr(111) + chr(7226 - 7126) + chr(8724 - 8623))(chr(0b1010111 + 0o36) + '\x74' + '\146' + chr(0b10100 + 0o31) + chr(0b11110 + 0o32)))
assert c2A0yzQpDQB3(QtlzmD2qTwsJ) == c2A0yzQpDQB3(SD7xE9Zjmw2U), xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xb3-\xc9_ \xa0\xf5'), '\144' + chr(101) + '\143' + '\x6f' + chr(100) + chr(101))('\165' + chr(0b1110100) + chr(0b100111 + 0o77) + chr(1495 - 1450) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\xfa\x7f\x87*a\x88\xbb|\x96\x1f^'), chr(1729 - 1629) + chr(101) + chr(894 - 795) + chr(8507 - 8396) + chr(6005 - 5905) + chr(101))(chr(12938 - 12821) + '\164' + chr(6814 - 6712) + chr(0b101101) + chr(56)))(c2A0yzQpDQB3(QtlzmD2qTwsJ), c2A0yzQpDQB3(SD7xE9Zjmw2U))
if not ygf0ckQbTwIK:
QtlzmD2qTwsJ = [OeWW0F1dBPRQ.lower() for OeWW0F1dBPRQ in QtlzmD2qTwsJ]
SD7xE9Zjmw2U = [OeWW0F1dBPRQ.lower() for OeWW0F1dBPRQ in SD7xE9Zjmw2U]
meaz8i8yZ1if = [twvvtM1jew1k(OeWW0F1dBPRQ) for OeWW0F1dBPRQ in QtlzmD2qTwsJ]
iB115Icmq7w8 = [twvvtM1jew1k(OeWW0F1dBPRQ) for OeWW0F1dBPRQ in SD7xE9Zjmw2U]
return kz8NuSfrNDvI(meaz8i8yZ1if, iB115Icmq7w8)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/bleu_hook.py
|
_try_twice_tf_glob
|
def _try_twice_tf_glob(pattern):
"""Glob twice, first time possibly catching `NotFoundError`.
tf.gfile.Glob may crash with
```
tensorflow.python.framework.errors_impl.NotFoundError:
xy/model.ckpt-1130761_temp_9cb4cb0b0f5f4382b5ea947aadfb7a40;
No such file or directory
```
Standard glob.glob does not have this bug, but does not handle multiple
filesystems (e.g. `gs://`), so we call tf.gfile.Glob, the first time possibly
catching the `NotFoundError`.
Args:
pattern: str, glob pattern.
Returns:
list<str> matching filepaths.
"""
try:
return tf.gfile.Glob(pattern)
except tf.errors.NotFoundError:
return tf.gfile.Glob(pattern)
|
python
|
def _try_twice_tf_glob(pattern):
"""Glob twice, first time possibly catching `NotFoundError`.
tf.gfile.Glob may crash with
```
tensorflow.python.framework.errors_impl.NotFoundError:
xy/model.ckpt-1130761_temp_9cb4cb0b0f5f4382b5ea947aadfb7a40;
No such file or directory
```
Standard glob.glob does not have this bug, but does not handle multiple
filesystems (e.g. `gs://`), so we call tf.gfile.Glob, the first time possibly
catching the `NotFoundError`.
Args:
pattern: str, glob pattern.
Returns:
list<str> matching filepaths.
"""
try:
return tf.gfile.Glob(pattern)
except tf.errors.NotFoundError:
return tf.gfile.Glob(pattern)
|
[
"def",
"_try_twice_tf_glob",
"(",
"pattern",
")",
":",
"try",
":",
"return",
"tf",
".",
"gfile",
".",
"Glob",
"(",
"pattern",
")",
"except",
"tf",
".",
"errors",
".",
"NotFoundError",
":",
"return",
"tf",
".",
"gfile",
".",
"Glob",
"(",
"pattern",
")"
] |
Glob twice, first time possibly catching `NotFoundError`.
tf.gfile.Glob may crash with
```
tensorflow.python.framework.errors_impl.NotFoundError:
xy/model.ckpt-1130761_temp_9cb4cb0b0f5f4382b5ea947aadfb7a40;
No such file or directory
```
Standard glob.glob does not have this bug, but does not handle multiple
filesystems (e.g. `gs://`), so we call tf.gfile.Glob, the first time possibly
catching the `NotFoundError`.
Args:
pattern: str, glob pattern.
Returns:
list<str> matching filepaths.
|
[
"Glob",
"twice",
"first",
"time",
"possibly",
"catching",
"NotFoundError",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/bleu_hook.py#L221-L245
|
train
|
Try twice tf. gfile. Glob.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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' + '\062' + chr(0b110000 + 0o7) + chr(0b11 + 0o60), 32874 - 32866), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11000 + 0o31) + '\x35' + chr(278 - 230), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000001 + 0o56) + chr(0b1000 + 0o57) + '\x34', 48511 - 48503), ehT0Px3KOsy9('\060' + chr(11255 - 11144) + '\x33' + chr(52) + '\063', 14728 - 14720), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + chr(0b10011 + 0o43), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(763 - 714) + '\x33' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(645 - 596) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(5157 - 5046) + chr(0b101000 + 0o13) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\065' + chr(48), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(50), 8), ehT0Px3KOsy9(chr(48) + chr(0b1000011 + 0o54) + chr(54) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1915 - 1867) + '\157' + chr(2211 - 2161) + '\061' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\067' + '\063', 37140 - 37132), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x35' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(6244 - 6133) + chr(0b100000 + 0o22) + '\x32' + chr(1594 - 1540), 5013 - 5005), ehT0Px3KOsy9('\x30' + '\157' + '\066' + chr(0b100100 + 0o20), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(52) + chr(55), 44370 - 44362), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + '\061' + chr(50) + chr(0b101 + 0o57), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(2469 - 2419) + chr(1086 - 1035), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + '\061' + chr(0b110100) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + '\061' + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b100000 + 0o22) + chr(51), 7195 - 7187), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(54), 49669 - 49661), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b110010) + '\x30' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(2013 - 1965) + '\x6f' + chr(0b11000 + 0o33) + '\062' + '\x33', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(55) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(726 - 678) + '\157' + '\x33' + chr(1628 - 1578) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\066' + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1667 - 1618) + chr(0b110000) + chr(0b101101 + 0o10), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + chr(49) + chr(55) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(1539 - 1428) + '\062' + chr(0b1011 + 0o47) + chr(0b111 + 0o57), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110101) + chr(0b101101 + 0o11), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(0b101 + 0o54) + chr(0b110100), 7163 - 7155), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x37' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(67 - 19) + chr(111) + '\061' + '\x31' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(0b100000 + 0o21) + chr(55) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\061' + chr(0b0 + 0o65), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1011 + 0o47) + chr(379 - 328), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + '\065' + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x95'), '\x64' + chr(3707 - 3606) + chr(8039 - 7940) + chr(111) + '\x64' + chr(101))(chr(0b11 + 0o162) + '\x74' + chr(7570 - 7468) + '\x2d' + chr(2098 - 2042)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZCxRiWy1pEI6(D7PcF8SpuWmc):
try:
return xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\x04S\x81'), '\144' + chr(0b1101 + 0o130) + chr(5530 - 5431) + chr(111) + chr(0b101000 + 0o74) + '\x65')(chr(117) + chr(0b1110100) + '\146' + chr(0b101101 + 0o0) + chr(0b111000)))(D7PcF8SpuWmc)
except xafqLlk3kkUe(IDJ2eXGCBCDu.errors, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\x07H\xa5A)f~-hB\xe0\t'), chr(3091 - 2991) + chr(101) + chr(0b1100011) + chr(11679 - 11568) + chr(0b1011111 + 0o5) + chr(101))(chr(0b1101110 + 0o7) + chr(0b1011101 + 0o27) + chr(528 - 426) + '\x2d' + '\070')):
return xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\x04S\x81'), '\144' + '\x65' + '\143' + chr(0b111111 + 0o60) + chr(9735 - 9635) + chr(4227 - 4126))(chr(1445 - 1328) + chr(116) + '\146' + chr(0b10100 + 0o31) + chr(0b101 + 0o63)))(D7PcF8SpuWmc)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/bleu_hook.py
|
_read_stepfiles_list
|
def _read_stepfiles_list(path_prefix, path_suffix=".index", min_steps=0):
"""Return list of StepFiles sorted by step from files at path_prefix."""
stepfiles = []
for filename in _try_twice_tf_glob(path_prefix + "*-[0-9]*" + path_suffix):
basename = filename[:-len(path_suffix)] if path_suffix else filename
try:
steps = int(basename.rsplit("-")[-1])
except ValueError: # The -[0-9]* part is not an integer.
continue
if steps < min_steps:
continue
if not os.path.exists(filename):
tf.logging.info(filename + " was deleted, so skipping it")
continue
stepfiles.append(StepFile(basename, os.path.getmtime(filename),
os.path.getctime(filename), steps))
return sorted(stepfiles, key=lambda x: -x.steps)
|
python
|
def _read_stepfiles_list(path_prefix, path_suffix=".index", min_steps=0):
"""Return list of StepFiles sorted by step from files at path_prefix."""
stepfiles = []
for filename in _try_twice_tf_glob(path_prefix + "*-[0-9]*" + path_suffix):
basename = filename[:-len(path_suffix)] if path_suffix else filename
try:
steps = int(basename.rsplit("-")[-1])
except ValueError: # The -[0-9]* part is not an integer.
continue
if steps < min_steps:
continue
if not os.path.exists(filename):
tf.logging.info(filename + " was deleted, so skipping it")
continue
stepfiles.append(StepFile(basename, os.path.getmtime(filename),
os.path.getctime(filename), steps))
return sorted(stepfiles, key=lambda x: -x.steps)
|
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] |
Return list of StepFiles sorted by step from files at path_prefix.
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/bleu_hook.py#L248-L264
|
train
|
Return list of StepFiles sorted by step from files at path_prefix.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b10000 + 0o42) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1402 - 1354) + chr(111) + '\061' + chr(0b110111) + chr(2532 - 2478), 0o10), ehT0Px3KOsy9(chr(63 - 15) + chr(111) + chr(1354 - 1300) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(8206 - 8095) + chr(0b100001 + 0o20) + '\060' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10101 + 0o34) + chr(54) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + '\x31' + chr(0b101110 + 0o7) + chr(0b101 + 0o53), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(492 - 381) + chr(0b110001) + chr(0b110011) + chr(0b0 + 0o65), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b101111 + 0o5) + chr(0b101010 + 0o11), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(1776 - 1722) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1111 + 0o43) + '\x30' + chr(554 - 502), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(0b11001 + 0o32) + chr(52) + chr(1471 - 1423), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + '\x31' + '\061' + chr(0b101001 + 0o14), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2003 - 1954) + '\065' + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b0 + 0o66) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(2620 - 2568) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1824 - 1773) + '\x33' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b10101 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(0b110101) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b101011 + 0o12) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11101 + 0o26) + '\x36' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + chr(0b10111 + 0o33) + chr(48) + '\x36', 43630 - 43622), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(1122 - 1070) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(2858 - 2747) + chr(0b11011 + 0o34), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2848 - 2737) + chr(49) + chr(1727 - 1674) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(264 - 210) + '\x34', 12517 - 12509), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(54) + '\x33', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(1084 - 1033) + chr(52), 14968 - 14960), ehT0Px3KOsy9('\060' + chr(0b1001000 + 0o47) + '\x35' + chr(0b110110 + 0o0), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b11001 + 0o32) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x32' + chr(0b11011 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\x33' + '\x31' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(380 - 330) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010010 + 0o35) + chr(0b110110) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + '\x31' + '\066' + chr(0b110000), 12763 - 12755), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(3984 - 3873) + chr(312 - 263) + chr(0b110001) + chr(1585 - 1535), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b110000 + 0o2), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11000 + 0o36) + chr(52), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(49) + '\x35', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\x37' + '\065', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x35' + chr(1981 - 1933), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf'), chr(4349 - 4249) + chr(670 - 569) + chr(0b1100011) + chr(0b1101111) + chr(8094 - 7994) + '\x65')(chr(0b1110101) + chr(116) + '\146' + chr(0b101101 + 0o0) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Vn6PMxu1rEbn(AUwgT7wnvlw3, maCSBxuAmD_4=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x17Z"\x17\x10'), chr(0b11001 + 0o113) + '\x65' + chr(99) + chr(0b1101111) + chr(5861 - 5761) + chr(0b100111 + 0o76))('\x75' + chr(6031 - 5915) + chr(0b1001101 + 0o31) + '\055' + chr(305 - 249)), WS5Dzgv34230=ehT0Px3KOsy9(chr(919 - 871) + chr(11903 - 11792) + chr(0b110000), 8)):
va1vsk_PCpTr = []
for xw4DsBfIJ22E in ZCxRiWy1pEI6(AUwgT7wnvlw3 + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbbSov_Q\x00\x89'), chr(6468 - 6368) + chr(0b1011011 + 0o12) + chr(0b1100011) + chr(111) + chr(100) + '\145')(chr(0b1110101) + chr(9404 - 9288) + chr(0b1100110) + chr(0b10111 + 0o26) + chr(1252 - 1196)) + maCSBxuAmD_4):
g_1BfC8eoU5Q = xw4DsBfIJ22E[:-c2A0yzQpDQB3(maCSBxuAmD_4)] if maCSBxuAmD_4 else xw4DsBfIJ22E
try:
v0VhEmlMsO_l = ehT0Px3KOsy9(g_1BfC8eoU5Q.rsplit(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc'), '\x64' + '\145' + chr(0b10001 + 0o122) + chr(111) + '\x64' + chr(0b1000100 + 0o41))('\x75' + chr(0b1110100) + '\x66' + chr(0b101101) + '\x38'))[-ehT0Px3KOsy9(chr(48) + '\157' + chr(49), 0b1000)])
except q1QCh3W88sgk:
continue
if v0VhEmlMsO_l < WS5Dzgv34230:
continue
if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x06]5\x06\x1b'), '\x64' + '\x65' + chr(4769 - 4670) + '\157' + chr(9559 - 9459) + chr(0b1100101))('\165' + '\164' + chr(102) + chr(45) + '\x38'))(xw4DsBfIJ22E):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2I|>\x07\x0b:\x94\x1b\xe8\xba&'), chr(0b110011 + 0o61) + chr(5541 - 5440) + chr(0b11001 + 0o112) + chr(0b111011 + 0o64) + '\x64' + '\x65')('\165' + '\x74' + '\146' + chr(574 - 529) + '\070'))(xw4DsBfIJ22E + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\tU5R\x0c8\xcf\x14\xf0\x85)F\x93U\xb31Y\x05\x98\xf6\xd1n\x07\x93\x93ih'), '\x64' + '\145' + '\x63' + '\x6f' + '\144' + chr(0b1000010 + 0o43))(chr(117) + '\x74' + chr(0b1100011 + 0o3) + '\055' + chr(56)))
continue
xafqLlk3kkUe(va1vsk_PCpTr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\x0eD#\x1c\x0c'), chr(100) + chr(0b100000 + 0o105) + chr(0b101001 + 0o72) + chr(0b100 + 0o153) + chr(0b1010001 + 0o23) + chr(0b1100101))('\x75' + chr(2319 - 2203) + '\146' + chr(0b1110 + 0o37) + chr(1494 - 1438)))(mJeiCj4CAemL(g_1BfC8eoU5Q, xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\x1b@+\x06\x010\xc6'), chr(0b1100100) + '\x65' + '\143' + chr(5947 - 5836) + chr(0b1100100) + chr(6098 - 5997))('\x75' + chr(8940 - 8824) + '\x66' + chr(45) + chr(1940 - 1884)))(xw4DsBfIJ22E), xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\x1b@%\x06\x010\xc6'), chr(100) + chr(101) + '\x63' + chr(0b1101010 + 0o5) + chr(0b10100 + 0o120) + chr(0b1100011 + 0o2))('\x75' + '\164' + chr(0b1100100 + 0o2) + chr(0b10000 + 0o35) + chr(56)))(xw4DsBfIJ22E), v0VhEmlMsO_l))
return vUlqIvNSaRMa(va1vsk_PCpTr, key=lambda OeWW0F1dBPRQ: -xafqLlk3kkUe(OeWW0F1dBPRQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\nQ6\x01'), chr(0b1100100) + chr(0b100001 + 0o104) + chr(0b1100011) + '\157' + '\x64' + chr(101))(chr(2901 - 2784) + '\164' + '\x66' + chr(0b101101) + chr(56))))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/bleu_hook.py
|
stepfiles_iterator
|
def stepfiles_iterator(path_prefix, wait_minutes=0, min_steps=0,
path_suffix=".index", sleep_sec=10):
"""Continuously yield new files with steps in filename as they appear.
This is useful for checkpoint files or other files whose names differ just in
an integer marking the number of steps and match the wildcard path_prefix +
"*-[0-9]*" + path_suffix.
Unlike `tf.contrib.training.checkpoints_iterator`, this implementation always
starts from the oldest files (and it cannot miss any file). Note that the
oldest checkpoint may be deleted anytime by Tensorflow (if set up so). It is
up to the user to check that the files returned by this generator actually
exist.
Args:
path_prefix: The directory + possible common filename prefix to the files.
wait_minutes: The maximum amount of minutes to wait between files.
min_steps: Skip files with lower global step.
path_suffix: Common filename suffix (after steps), including possible
extension dot.
sleep_sec: How often to check for new files.
Yields:
named tuples (filename, mtime, ctime, steps) of the files as they arrive.
"""
# Wildcard D*-[0-9]* does not match D/x-1, so if D is a directory let
# path_prefix="D/".
if not path_prefix.endswith(os.sep) and os.path.isdir(path_prefix):
path_prefix += os.sep
stepfiles = _read_stepfiles_list(path_prefix, path_suffix, min_steps)
tf.logging.info("Found %d files with steps: %s",
len(stepfiles),
", ".join(str(x.steps) for x in reversed(stepfiles)))
exit_time = time.time() + wait_minutes * 60
while True:
if not stepfiles and wait_minutes:
tf.logging.info(
"Waiting till %s if a new file matching %s*-[0-9]*%s appears",
time.asctime(time.localtime(exit_time)), path_prefix, path_suffix)
while True:
stepfiles = _read_stepfiles_list(path_prefix, path_suffix, min_steps)
if stepfiles or time.time() > exit_time:
break
time.sleep(sleep_sec)
if not stepfiles:
return
stepfile = stepfiles.pop()
exit_time, min_steps = (stepfile.ctime + wait_minutes * 60,
stepfile.steps + 1)
yield stepfile
|
python
|
def stepfiles_iterator(path_prefix, wait_minutes=0, min_steps=0,
path_suffix=".index", sleep_sec=10):
"""Continuously yield new files with steps in filename as they appear.
This is useful for checkpoint files or other files whose names differ just in
an integer marking the number of steps and match the wildcard path_prefix +
"*-[0-9]*" + path_suffix.
Unlike `tf.contrib.training.checkpoints_iterator`, this implementation always
starts from the oldest files (and it cannot miss any file). Note that the
oldest checkpoint may be deleted anytime by Tensorflow (if set up so). It is
up to the user to check that the files returned by this generator actually
exist.
Args:
path_prefix: The directory + possible common filename prefix to the files.
wait_minutes: The maximum amount of minutes to wait between files.
min_steps: Skip files with lower global step.
path_suffix: Common filename suffix (after steps), including possible
extension dot.
sleep_sec: How often to check for new files.
Yields:
named tuples (filename, mtime, ctime, steps) of the files as they arrive.
"""
# Wildcard D*-[0-9]* does not match D/x-1, so if D is a directory let
# path_prefix="D/".
if not path_prefix.endswith(os.sep) and os.path.isdir(path_prefix):
path_prefix += os.sep
stepfiles = _read_stepfiles_list(path_prefix, path_suffix, min_steps)
tf.logging.info("Found %d files with steps: %s",
len(stepfiles),
", ".join(str(x.steps) for x in reversed(stepfiles)))
exit_time = time.time() + wait_minutes * 60
while True:
if not stepfiles and wait_minutes:
tf.logging.info(
"Waiting till %s if a new file matching %s*-[0-9]*%s appears",
time.asctime(time.localtime(exit_time)), path_prefix, path_suffix)
while True:
stepfiles = _read_stepfiles_list(path_prefix, path_suffix, min_steps)
if stepfiles or time.time() > exit_time:
break
time.sleep(sleep_sec)
if not stepfiles:
return
stepfile = stepfiles.pop()
exit_time, min_steps = (stepfile.ctime + wait_minutes * 60,
stepfile.steps + 1)
yield stepfile
|
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"steps",
"+",
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] |
Continuously yield new files with steps in filename as they appear.
This is useful for checkpoint files or other files whose names differ just in
an integer marking the number of steps and match the wildcard path_prefix +
"*-[0-9]*" + path_suffix.
Unlike `tf.contrib.training.checkpoints_iterator`, this implementation always
starts from the oldest files (and it cannot miss any file). Note that the
oldest checkpoint may be deleted anytime by Tensorflow (if set up so). It is
up to the user to check that the files returned by this generator actually
exist.
Args:
path_prefix: The directory + possible common filename prefix to the files.
wait_minutes: The maximum amount of minutes to wait between files.
min_steps: Skip files with lower global step.
path_suffix: Common filename suffix (after steps), including possible
extension dot.
sleep_sec: How often to check for new files.
Yields:
named tuples (filename, mtime, ctime, steps) of the files as they arrive.
|
[
"Continuously",
"yield",
"new",
"files",
"with",
"steps",
"in",
"filename",
"as",
"they",
"appear",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/bleu_hook.py#L267-L317
|
train
|
Continuously yield new files with steps in filename.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1831 - 1783) + chr(111) + '\063' + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3156 - 3045) + chr(52) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4694 - 4583) + chr(0b11001 + 0o30) + chr(1267 - 1216), 0o10), ehT0Px3KOsy9(chr(160 - 112) + '\x6f' + chr(0b101010 + 0o7) + '\060' + chr(1869 - 1817), 35158 - 35150), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\x32' + '\066', 52028 - 52020), ehT0Px3KOsy9('\x30' + '\157' + chr(1951 - 1901) + chr(0b110010) + chr(0b10101 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(1712 - 1664) + '\x6f' + '\062' + chr(0b110000) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + chr(0b1110 + 0o46) + chr(80 - 28), 43436 - 43428), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\x36' + chr(0b11101 + 0o25), 28676 - 28668), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + '\x32' + chr(49) + chr(2558 - 2507), ord("\x08")), ehT0Px3KOsy9(chr(1916 - 1868) + chr(0b1101111) + chr(50) + chr(0b0 + 0o65) + '\064', 0b1000), ehT0Px3KOsy9(chr(1275 - 1227) + chr(0b1101000 + 0o7) + chr(1489 - 1440) + chr(1034 - 981) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b101011 + 0o5) + chr(839 - 786), ord("\x08")), ehT0Px3KOsy9(chr(1166 - 1118) + chr(0b1100100 + 0o13) + chr(0b10111 + 0o35) + chr(0b110000), 15527 - 15519), ehT0Px3KOsy9(chr(127 - 79) + '\x6f' + chr(0b110001 + 0o2) + chr(845 - 795) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b110110 + 0o0) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(723 - 675) + '\157' + chr(0b11100 + 0o26) + '\x36', 11908 - 11900), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10111 + 0o31), 0o10), ehT0Px3KOsy9(chr(982 - 934) + chr(0b1101111) + '\063' + chr(0b110100) + chr(0b10 + 0o57), 21076 - 21068), ehT0Px3KOsy9(chr(2244 - 2196) + chr(0b1101111) + chr(0b110001) + chr(1735 - 1684) + '\066', 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(51) + chr(51) + chr(1056 - 1005), 46636 - 46628), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110111) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b101110 + 0o7) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(2710 - 2599) + chr(0b110000 + 0o2) + chr(0b100100 + 0o23) + chr(1963 - 1915), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(0b110010) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + '\061' + chr(53) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\x37', 21 - 13), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\x36' + chr(55), 3207 - 3199), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1000111 + 0o50) + chr(0b110011) + '\061' + chr(350 - 301), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b1101 + 0o46) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b0 + 0o63) + chr(48) + chr(2381 - 2330), 44046 - 44038), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b11 + 0o64) + chr(245 - 190), 11420 - 11412), ehT0Px3KOsy9(chr(1652 - 1604) + '\x6f' + '\066' + chr(1567 - 1513), ord("\x08")), ehT0Px3KOsy9(chr(425 - 377) + chr(0b101001 + 0o106) + '\x31' + chr(0b11111 + 0o27), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(53) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x35' + '\064', 61070 - 61062), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(0b10000 + 0o42) + '\x37' + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(52) + '\x34', 3321 - 3313), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(0b110010) + '\064' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6512 - 6401) + chr(305 - 255) + '\062' + chr(0b110010), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2060 - 2012) + chr(0b101101 + 0o102) + chr(53) + chr(1680 - 1632), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'5'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1101111) + '\144' + chr(0b10001 + 0o124))(chr(0b1101110 + 0o7) + '\x74' + '\146' + '\055' + chr(0b11111 + 0o31)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def EuJmYOFFDKSf(AUwgT7wnvlw3, KBTu9y67JiRl=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101001 + 0o7), 8), WS5Dzgv34230=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000), 8), maCSBxuAmD_4=xafqLlk3kkUe(SXOLrMavuUCe(b'5He 3\xed'), chr(0b1100100) + '\x65' + chr(0b1000010 + 0o41) + '\157' + chr(0b1100100) + chr(0b11011 + 0o112))(chr(12343 - 12226) + chr(116) + '\x66' + '\x2d' + chr(0b111000)), FttuMvs8zEeR=ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(2318 - 2268), 43338 - 43330)):
if not xafqLlk3kkUe(AUwgT7wnvlw3, xafqLlk3kkUe(SXOLrMavuUCe(b'~Oo7!\xfc\xf7L'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(111) + chr(0b100100 + 0o100) + chr(1663 - 1562))('\x75' + chr(116) + chr(0b1100110) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'hD{'), chr(0b1100100) + chr(0b101011 + 0o72) + chr(0b1100011) + chr(10385 - 10274) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + chr(0b10001 + 0o34) + '\x38'))) and xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'rRo-$'), chr(0b1000100 + 0o40) + '\145' + '\143' + '\157' + chr(0b1100100) + chr(1907 - 1806))(chr(7771 - 7654) + chr(0b100000 + 0o124) + '\146' + '\x2d' + chr(0b111 + 0o61)))(AUwgT7wnvlw3):
AUwgT7wnvlw3 += oqhJDdMJfuwx.sep
va1vsk_PCpTr = Vn6PMxu1rEbn(AUwgT7wnvlw3, maCSBxuAmD_4, WS5Dzgv34230)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'H\x16C<#\xf6\xe4\x13\xd8\xe7\xf6\x05'), chr(0b1100100) + '\145' + chr(0b100101 + 0o76) + chr(111) + chr(0b10010 + 0o122) + chr(0b1100000 + 0o5))('\x75' + chr(0b1 + 0o163) + '\x66' + chr(1207 - 1162) + chr(2211 - 2155)))(xafqLlk3kkUe(SXOLrMavuUCe(b']N~*2\xb5\xa6@\x92\xed\xc5\x02\xa0S\xf3\xc6\x7ft\x89~\xa8J\xcf\xc8fU/R\xba'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1101100 + 0o3) + chr(7652 - 7552) + chr(0b1100101))(chr(117) + chr(0b101 + 0o157) + chr(102) + '\x2d' + '\070'), c2A0yzQpDQB3(va1vsk_PCpTr), xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'7\x01'), chr(100) + chr(101) + '\143' + chr(7963 - 7852) + '\x64' + chr(0b1011000 + 0o15))(chr(117) + chr(0b1100 + 0o150) + chr(5007 - 4905) + '\x2d' + chr(0b10011 + 0o45)), xafqLlk3kkUe(SXOLrMavuUCe(b'qNb*'), '\x64' + '\145' + chr(0b1100011) + '\x6f' + '\144' + chr(0b1100101))(chr(0b101010 + 0o113) + chr(0b10 + 0o162) + chr(102) + chr(0b101101) + chr(0b111000)))((M8_cKLkHVB2V(xafqLlk3kkUe(OeWW0F1dBPRQ, xafqLlk3kkUe(SXOLrMavuUCe(b'hUn4%'), '\x64' + '\145' + chr(0b11100 + 0o107) + chr(0b1011111 + 0o20) + chr(0b1100100) + chr(0b1100101))(chr(7171 - 7054) + chr(0b1110100) + chr(102) + '\055' + chr(1249 - 1193)))) for OeWW0F1dBPRQ in RFiwrCZH9Ie6(va1vsk_PCpTr))))
S16HxQjLEfbd = ltvhPP4VhXre.time() + KBTu9y67JiRl * ehT0Px3KOsy9(chr(487 - 439) + '\157' + '\067' + chr(0b11100 + 0o30), 43168 - 43160)
while ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b10100 + 0o133) + '\061', 0o10):
if not va1vsk_PCpTr and KBTu9y67JiRl:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'H\x16C<#\xf6\xe4\x13\xd8\xe7\xf6\x05'), chr(100) + chr(0b1 + 0o144) + chr(0b1100011) + '\157' + chr(100) + chr(101))(chr(13298 - 13181) + chr(8941 - 8825) + '\x66' + chr(733 - 688) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'L@b0?\xfb\xe4\x04\xc6\xe2\xc0\x02\xe5\x05\xa0\x91\x7ff\xc1?\xfbP\xcf\xcf5\tf\x1b\xac\xb9\xae\x9eBm\x84E\xd6\x83\x85\xb7h\x0b&\x1ff\xb8\xbay\x98\xae\xdfN\xa4P\xa3\xd4wr\x92'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(2329 - 2218) + chr(0b111101 + 0o47) + '\145')('\x75' + chr(0b100111 + 0o115) + '\146' + '\x2d' + '\070'), xafqLlk3kkUe(ltvhPP4VhXre, xafqLlk3kkUe(SXOLrMavuUCe(b'zRh0?\xf8\xe6'), '\144' + '\x65' + chr(0b1100011) + chr(6282 - 6171) + '\x64' + chr(0b1100101))(chr(8293 - 8176) + chr(0b1110100) + chr(102) + chr(45) + '\x38'))(xafqLlk3kkUe(ltvhPP4VhXre, xafqLlk3kkUe(SXOLrMavuUCe(b'wNh%:\xe1\xeaI\xd7'), '\144' + chr(101) + '\143' + chr(0b1010001 + 0o36) + chr(0b1100100) + chr(0b111011 + 0o52))('\165' + chr(3263 - 3147) + chr(102) + '\x2d' + chr(0b100010 + 0o26)))(S16HxQjLEfbd)), AUwgT7wnvlw3, maCSBxuAmD_4)
while ehT0Px3KOsy9(chr(969 - 921) + chr(111) + chr(1866 - 1817), 8):
va1vsk_PCpTr = Vn6PMxu1rEbn(AUwgT7wnvlw3, maCSBxuAmD_4, WS5Dzgv34230)
if va1vsk_PCpTr or xafqLlk3kkUe(ltvhPP4VhXre, xafqLlk3kkUe(SXOLrMavuUCe(b'oHf!'), chr(0b100101 + 0o77) + chr(6570 - 6469) + chr(99) + '\157' + '\144' + '\145')('\165' + '\x74' + '\146' + chr(1459 - 1414) + chr(0b111000)))() > S16HxQjLEfbd:
break
xafqLlk3kkUe(ltvhPP4VhXre, xafqLlk3kkUe(SXOLrMavuUCe(b'hMn!&'), chr(0b1100100) + chr(0b11101 + 0o110) + chr(0b1011000 + 0o13) + chr(9165 - 9054) + '\x64' + chr(0b1010001 + 0o24))('\165' + chr(116) + chr(0b1100110) + '\x2d' + '\070'))(FttuMvs8zEeR)
if not va1vsk_PCpTr:
return
x7DDVOXTGxTv = va1vsk_PCpTr.pop()
(S16HxQjLEfbd, WS5Dzgv34230) = (x7DDVOXTGxTv.ctime + KBTu9y67JiRl * ehT0Px3KOsy9('\060' + '\157' + '\x37' + chr(1416 - 1364), 8), x7DDVOXTGxTv.steps + ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(49), 8))
yield x7DDVOXTGxTv
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/vqa.py
|
_get_vqa_v2_annotations
|
def _get_vqa_v2_annotations(directory,
annotation_url,
annotation_filename="vqa_v2.tar.gz"):
"""Extract the VQA V2 annotation files to directory unless it's there."""
annotation_file = generator_utils.maybe_download_from_drive(
directory, annotation_filename, annotation_url)
with tarfile.open(annotation_file, "r:gz") as annotation_tar:
annotation_tar.extractall(directory)
|
python
|
def _get_vqa_v2_annotations(directory,
annotation_url,
annotation_filename="vqa_v2.tar.gz"):
"""Extract the VQA V2 annotation files to directory unless it's there."""
annotation_file = generator_utils.maybe_download_from_drive(
directory, annotation_filename, annotation_url)
with tarfile.open(annotation_file, "r:gz") as annotation_tar:
annotation_tar.extractall(directory)
|
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Extract the VQA V2 annotation files to directory unless it's there.
|
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272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/vqa.py#L44-L51
|
train
|
Extract the VQA V2 annotation files to directory unless it s there.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b110101) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x34' + chr(0b1111 + 0o46), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\x35', 0b1000), ehT0Px3KOsy9(chr(865 - 817) + '\157' + chr(49) + '\x36', 3572 - 3564), ehT0Px3KOsy9(chr(812 - 764) + chr(111) + chr(0b110001) + chr(51) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x36' + chr(48), 61610 - 61602), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(51) + chr(0b110010), 86 - 78), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(52) + chr(0b110000 + 0o1), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + '\x34' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(9153 - 9042) + chr(0b110010) + chr(0b101110 + 0o2) + chr(1533 - 1479), 18069 - 18061), ehT0Px3KOsy9(chr(2111 - 2063) + chr(0b11111 + 0o120) + chr(0b1111 + 0o42) + chr(53) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1718 - 1670) + chr(111) + chr(1985 - 1932) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(5910 - 5799) + '\x33' + '\065' + chr(0b101011 + 0o12), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(55) + chr(0b10101 + 0o41), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b11100 + 0o30) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + '\061' + chr(50) + chr(0b110000), 7804 - 7796), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(56 - 7) + chr(76 - 21), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101110 + 0o3) + '\x35' + chr(0b10 + 0o61), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1 + 0o156) + chr(1983 - 1933) + chr(0b10000 + 0o45) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1391 - 1343) + chr(0b10001 + 0o136) + chr(0b100101 + 0o15) + '\x33' + chr(2536 - 2482), 0b1000), ehT0Px3KOsy9('\x30' + chr(10447 - 10336) + chr(49) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(2487 - 2433) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\x34' + chr(0b11100 + 0o24), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + '\x32' + chr(51) + chr(1978 - 1923), 0b1000), ehT0Px3KOsy9(chr(1655 - 1607) + chr(6661 - 6550) + chr(1850 - 1795) + chr(0b1001 + 0o53), 0b1000), ehT0Px3KOsy9(chr(901 - 853) + chr(1875 - 1764) + chr(49) + chr(1437 - 1389) + chr(2669 - 2614), 0o10), ehT0Px3KOsy9(chr(1785 - 1737) + chr(0b1101111) + chr(0b110010) + chr(0b111 + 0o54) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(2938 - 2827) + chr(0b100 + 0o55) + chr(0b1010 + 0o54) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(399 - 351) + '\157' + chr(2518 - 2467) + chr(0b110001 + 0o6) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110110) + chr(0b110001 + 0o6), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(55) + chr(0b100101 + 0o14), 0b1000), ehT0Px3KOsy9(chr(1058 - 1010) + chr(11029 - 10918) + chr(0b1 + 0o61) + '\x30' + chr(0b110000 + 0o3), 0b1000), ehT0Px3KOsy9(chr(2151 - 2103) + chr(111) + chr(0b110011) + '\064' + chr(2831 - 2777), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b0 + 0o66) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(51) + chr(51) + chr(169 - 117), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1914 - 1863) + chr(228 - 174) + chr(0b110111), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + chr(1220 - 1172), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x00'), chr(0b1100100) + chr(1508 - 1407) + '\x63' + chr(0b1011010 + 0o25) + chr(0b1100100) + chr(0b0 + 0o145))('\165' + chr(116) + chr(0b101110 + 0o70) + chr(0b101011 + 0o2) + chr(0b1111 + 0o51)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def A_4IQptUwv9p(EVVr9bEHclel, NQniddjyslOQ, urFEdZPg74KA=xafqLlk3kkUe(SXOLrMavuUCe(b'XTtQ.\x82\xf4`\xc0X\t\xe1\x13'), '\144' + chr(0b1100101) + chr(5369 - 5270) + chr(0b110000 + 0o77) + chr(0b1100100) + '\x65')(chr(117) + chr(116) + chr(0b1011111 + 0o7) + chr(0b10111 + 0o26) + chr(3031 - 2975))):
cTiX3kPFPtnJ = g1Z_RG9zP4cD.maybe_download_from_drive(EVVr9bEHclel, urFEdZPg74KA, NQniddjyslOQ)
with xafqLlk3kkUe(RxqDt8LqC5Ns, xafqLlk3kkUe(SXOLrMavuUCe(b'AUp`'), chr(0b1100010 + 0o2) + chr(0b1100101) + chr(9551 - 9452) + '\157' + '\144' + chr(0b1000100 + 0o41))(chr(117) + '\x74' + '\x66' + '\055' + chr(0b110101 + 0o3)))(cTiX3kPFPtnJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\\\x1frt'), '\144' + chr(101) + chr(99) + chr(0b1010100 + 0o33) + chr(6826 - 6726) + '\145')(chr(117) + chr(0b101 + 0o157) + chr(102) + '\055' + chr(0b111000))) as G130xHH0nMrt:
xafqLlk3kkUe(G130xHH0nMrt, xafqLlk3kkUe(SXOLrMavuUCe(b'K]a|9\xd3\xaeu\xcdF'), chr(100) + '\145' + '\143' + chr(0b1101111) + '\x64' + chr(0b1100101))('\165' + chr(0b11101 + 0o127) + chr(102) + chr(45) + chr(1738 - 1682)))(EVVr9bEHclel)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/vqa.py
|
_get_vqa_v2_image_raw_dataset
|
def _get_vqa_v2_image_raw_dataset(directory, image_root_url, image_urls):
"""Extract the VQA V2 image data set to directory unless it's there."""
for url in image_urls:
filename = os.path.basename(url)
download_url = os.path.join(image_root_url, url)
path = generator_utils.maybe_download(directory, filename, download_url)
unzip_dir = os.path.join(directory, filename.strip(".zip"))
if not tf.gfile.Exists(unzip_dir):
zipfile.ZipFile(path, "r").extractall(directory)
|
python
|
def _get_vqa_v2_image_raw_dataset(directory, image_root_url, image_urls):
"""Extract the VQA V2 image data set to directory unless it's there."""
for url in image_urls:
filename = os.path.basename(url)
download_url = os.path.join(image_root_url, url)
path = generator_utils.maybe_download(directory, filename, download_url)
unzip_dir = os.path.join(directory, filename.strip(".zip"))
if not tf.gfile.Exists(unzip_dir):
zipfile.ZipFile(path, "r").extractall(directory)
|
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Extract the VQA V2 image data set to directory unless it's there.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/vqa.py#L54-L62
|
train
|
Extract the VQA V2 image data set to directory unless it s there.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(860 - 812) + chr(0b1101111) + chr(1622 - 1571) + '\x30' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1144 - 1096) + chr(111) + chr(1081 - 1031) + chr(0b110011) + '\067', 22380 - 22372), ehT0Px3KOsy9('\060' + chr(2951 - 2840) + chr(0b110011) + chr(54) + chr(0b101001 + 0o11), 3480 - 3472), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(748 - 698) + chr(0b11011 + 0o25) + chr(1214 - 1162), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1142 - 1031) + '\066' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1001 + 0o52) + chr(48) + chr(493 - 441), 8), ehT0Px3KOsy9('\060' + chr(6413 - 6302) + chr(974 - 923) + chr(279 - 226) + chr(1311 - 1262), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(54) + chr(49), 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + '\x31' + chr(55) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1846 - 1798) + chr(0b1101111) + chr(0b10000 + 0o41) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b100100 + 0o113) + chr(51) + chr(0b110111) + chr(0b1000 + 0o50), 9018 - 9010), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(781 - 730) + chr(2962 - 2907), 2154 - 2146), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10000 + 0o41) + chr(55) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b110111) + chr(0b110100), 38722 - 38714), ehT0Px3KOsy9(chr(1281 - 1233) + chr(8911 - 8800) + chr(54) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(1150 - 1039) + chr(2214 - 2164) + chr(2642 - 2589) + chr(1347 - 1297), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b110100) + chr(0b11 + 0o63), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1003 - 892) + '\061' + chr(51) + '\067', 32422 - 32414), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(51) + chr(1283 - 1232), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1100 + 0o46) + '\x31' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(2100 - 2052) + chr(0b110100 + 0o73) + chr(0b110001) + chr(0b100010 + 0o21) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(51) + chr(0b111 + 0o56) + '\067', 9144 - 9136), ehT0Px3KOsy9(chr(48) + chr(111) + '\x35' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + '\061' + chr(51) + chr(0b10111 + 0o32), 7449 - 7441), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(52) + chr(1114 - 1060), 8), ehT0Px3KOsy9('\x30' + chr(0b11010 + 0o125) + '\065', 0o10), ehT0Px3KOsy9(chr(959 - 911) + chr(0b1101 + 0o142) + chr(0b100011 + 0o16) + chr(2545 - 2494) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110011) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\064' + chr(54), 8), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\065' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(12289 - 12178) + chr(0b10100 + 0o35) + chr(52) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(54), 8), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + chr(2364 - 2313) + chr(53) + chr(0b101100 + 0o13), 8), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\061' + chr(0b110111), 36571 - 36563), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(0b1101 + 0o46) + chr(0b110110) + '\064', 56491 - 56483), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(0b100011 + 0o15) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(0b110110) + '\x32', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b100000 + 0o25) + chr(0b100101 + 0o17), 21017 - 21009), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b100010 + 0o25) + chr(0b1 + 0o62), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(53) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xea'), chr(100) + '\x65' + chr(0b10000 + 0o123) + chr(0b101000 + 0o107) + '\144' + chr(9676 - 9575))('\165' + '\164' + chr(8995 - 8893) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WHZfLWfkiDsd(EVVr9bEHclel, wUAkv2JhhzIX, iQ4dhw0TsmkP):
for CYCr3xzMHl4K in iQ4dhw0TsmkP:
xw4DsBfIJ22E = oqhJDdMJfuwx.path.basename(CYCr3xzMHl4K)
AJe8IgYs4QkA = oqhJDdMJfuwx.path.join(wUAkv2JhhzIX, CYCr3xzMHl4K)
EaCjyhZptSer = g1Z_RG9zP4cD.maybe_download(EVVr9bEHclel, xw4DsBfIJ22E, AJe8IgYs4QkA)
iTPar6u9yyck = oqhJDdMJfuwx.path.join(EVVr9bEHclel, xw4DsBfIJ22E.strip(xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xe5\x9b\xf4'), '\144' + '\145' + '\143' + chr(0b1101110 + 0o1) + chr(0b1100100) + chr(0b101011 + 0o72))('\165' + chr(8460 - 8344) + '\146' + chr(0b10 + 0o53) + chr(1880 - 1824))))
if not xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\xe7\x9b\xf7E\xb7'), chr(0b101 + 0o137) + chr(0b1100101) + chr(99) + chr(0b110101 + 0o72) + chr(100) + '\x65')('\165' + '\x74' + chr(0b1100110) + '\x2d' + chr(0b111000)))(iTPar6u9yyck):
xafqLlk3kkUe(PFu838VwaBva.ZipFile(EaCjyhZptSer, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6'), chr(100) + '\145' + chr(9709 - 9610) + chr(0b1010010 + 0o35) + '\144' + chr(101))('\165' + chr(0b100011 + 0o121) + '\146' + '\055' + '\x38')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\xe7\x86\xf6P\xa7\x9dP\x13b'), chr(100) + chr(101) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b1001100 + 0o31))(chr(117) + chr(0b1110100) + chr(10318 - 10216) + '\x2d' + chr(0b101101 + 0o13)))(EVVr9bEHclel)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/vqa.py
|
_get_vqa_v2_image_feature_dataset
|
def _get_vqa_v2_image_feature_dataset(
directory, feature_url, feature_filename="mscoco_feat.tar.gz"):
"""Extract the VQA V2 feature data set to directory unless it's there."""
feature_file = generator_utils.maybe_download_from_drive(
directory, feature_filename, feature_url)
with tarfile.open(feature_file, "r:gz") as feature_tar:
feature_tar.extractall(directory)
|
python
|
def _get_vqa_v2_image_feature_dataset(
directory, feature_url, feature_filename="mscoco_feat.tar.gz"):
"""Extract the VQA V2 feature data set to directory unless it's there."""
feature_file = generator_utils.maybe_download_from_drive(
directory, feature_filename, feature_url)
with tarfile.open(feature_file, "r:gz") as feature_tar:
feature_tar.extractall(directory)
|
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] |
Extract the VQA V2 feature data set to directory unless it's there.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/vqa.py#L65-L71
|
train
|
Extract the VQA V2 feature data set to directory unless it s there.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(247 - 199) + chr(111) + chr(1220 - 1168) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\x32' + chr(50) + chr(52), 26897 - 26889), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1088 - 1039) + chr(1940 - 1892), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + chr(51) + '\x36' + chr(2102 - 2054), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + chr(0b110011) + chr(2064 - 2015) + chr(52), 42462 - 42454), ehT0Px3KOsy9(chr(416 - 368) + chr(0b1101010 + 0o5) + '\061' + '\066' + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110010) + chr(509 - 457), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(936 - 881) + '\x36', 17190 - 17182), ehT0Px3KOsy9('\x30' + chr(6627 - 6516) + '\x31' + chr(53) + chr(0b110110), 3864 - 3856), ehT0Px3KOsy9(chr(0b110000) + chr(0b100001 + 0o116) + chr(49) + chr(0b11111 + 0o25), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + chr(0b110001) + '\061' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(1755 - 1644) + chr(51) + chr(0b101010 + 0o15) + chr(0b100000 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(52) + '\067', 14818 - 14810), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101101 + 0o4) + chr(0b101 + 0o56) + chr(693 - 643), 29050 - 29042), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(50) + chr(1584 - 1535) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8381 - 8270) + '\x31' + chr(0b110001) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10001 + 0o41) + chr(0b110000) + chr(2575 - 2524), ord("\x08")), ehT0Px3KOsy9(chr(2030 - 1982) + '\x6f' + chr(0b110010) + chr(0b101000 + 0o11) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6577 - 6466) + chr(0b1010 + 0o50) + chr(2340 - 2291) + chr(2538 - 2487), 8509 - 8501), ehT0Px3KOsy9(chr(2198 - 2150) + '\x6f' + chr(849 - 798) + chr(0b100 + 0o57) + chr(325 - 277), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\064', 62163 - 62155), ehT0Px3KOsy9('\060' + chr(111) + chr(828 - 778) + chr(78 - 28) + chr(881 - 827), 0o10), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + chr(0b110001) + chr(1180 - 1131) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b10101 + 0o132) + chr(51) + chr(0b110110) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(357 - 305) + '\065', 49192 - 49184), ehT0Px3KOsy9(chr(0b110000) + chr(1824 - 1713) + chr(50) + '\060' + chr(715 - 663), 0o10), ehT0Px3KOsy9(chr(718 - 670) + '\157' + chr(0b10010 + 0o41) + chr(0b10000 + 0o40) + chr(457 - 406), 63909 - 63901), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(469 - 419) + chr(69 - 16) + chr(0b110000 + 0o1), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9469 - 9358) + '\062' + chr(52) + chr(0b100100 + 0o21), 0o10), ehT0Px3KOsy9('\060' + chr(7348 - 7237) + chr(1531 - 1480) + chr(51) + '\065', 0o10), ehT0Px3KOsy9(chr(1047 - 999) + '\157' + chr(51) + chr(2299 - 2250) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\064' + chr(2236 - 2182), 49645 - 49637), ehT0Px3KOsy9(chr(48) + chr(10491 - 10380) + '\x35', 29197 - 29189), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11101 + 0o25) + '\067' + '\061', 34140 - 34132), ehT0Px3KOsy9(chr(1882 - 1834) + chr(11477 - 11366) + chr(1262 - 1208) + chr(0b110110), 10249 - 10241), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b11 + 0o154) + '\062' + '\x31' + chr(0b10110 + 0o35), 8), ehT0Px3KOsy9(chr(1249 - 1201) + chr(0b1101111) + chr(0b111 + 0o57) + chr(718 - 667), 59611 - 59603), ehT0Px3KOsy9('\x30' + '\157' + chr(1378 - 1328) + '\x35' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b1001 + 0o53) + chr(0b100011 + 0o23), 2211 - 2203), ehT0Px3KOsy9('\060' + '\157' + chr(0b10001 + 0o41) + chr(2401 - 2346) + chr(0b1 + 0o60), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(0b110 + 0o52), 4881 - 4873)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f'), chr(0b11011 + 0o111) + chr(101) + chr(4820 - 4721) + chr(0b1101111) + chr(0b100000 + 0o104) + chr(101))('\165' + '\164' + chr(0b101011 + 0o73) + chr(0b101011 + 0o2) + chr(2369 - 2313)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ehKxqFpSSBQZ(EVVr9bEHclel, hhaCS5YyoXnt, J6QhP21qSRAZ=xafqLlk3kkUe(SXOLrMavuUCe(b'L\xe7k\x9f\xaf\x1f\x0b\xd8\x0bm:\xd4S;\xfdb\xe4\xf3'), '\x64' + chr(0b11101 + 0o110) + chr(99) + chr(4716 - 4605) + chr(0b101 + 0o137) + '\145')(chr(12170 - 12053) + chr(116) + '\x66' + chr(45) + chr(0b1100 + 0o54))):
_ivbIf41dJea = g1Z_RG9zP4cD.maybe_download_from_drive(EVVr9bEHclel, J6QhP21qSRAZ, hhaCS5YyoXnt)
with xafqLlk3kkUe(RxqDt8LqC5Ns, xafqLlk3kkUe(SXOLrMavuUCe(b'N\xe4m\x9e'), chr(0b1010110 + 0o16) + '\145' + chr(0b1100011) + chr(111) + '\144' + chr(101))('\x75' + chr(0b101101 + 0o107) + chr(102) + '\055' + chr(0b110110 + 0o2)))(_ivbIf41dJea, xafqLlk3kkUe(SXOLrMavuUCe(b'S\xaeo\x8a'), chr(100) + '\x65' + chr(99) + chr(111) + chr(5951 - 5851) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b100 + 0o51) + '\070')) as hhRC0F59rV90:
xafqLlk3kkUe(hhRC0F59rV90, xafqLlk3kkUe(SXOLrMavuUCe(b'D\xec|\x82\xad\x13 \xdf\x02`'), chr(0b1001000 + 0o34) + chr(0b1011111 + 0o6) + '\143' + '\157' + chr(0b110100 + 0o60) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\x66' + chr(0b101101) + '\x38'))(EVVr9bEHclel)
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