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tensorflow/tensor2tensor
|
tensor2tensor/models/video/epva.py
|
van_dec_2d
|
def van_dec_2d(x, skip_connections, output_shape, first_depth, hparams=None):
"""The VAN decoder.
Args:
x: The analogy information to decode.
skip_connections: The encoder layers which can be used as skip connections.
output_shape: The shape of the desired output image.
first_depth: The depth of the first layer of the van image encoder.
hparams: The python hparams.
Returns:
The decoded image prediction.
"""
with tf.variable_scope('van_dec'):
dec = tf.layers.conv2d_transpose(
x, first_depth * 4, 3, padding='same', activation=tf.nn.relu, strides=2)
dec = tf.nn.dropout(dec, hparams.van_keep_prob)
dec = tf.contrib.layers.layer_norm(dec)
dec = tf.layers.conv2d_transpose(
dec,
first_depth * 4,
3,
padding='same',
activation=tf.nn.relu,
strides=1)
dec = tf.nn.dropout(dec, hparams.van_keep_prob)
dec = tf.layers.conv2d_transpose(
dec,
first_depth * 2,
3,
padding='same',
activation=tf.nn.relu,
strides=1)
dec = tf.nn.dropout(dec, hparams.van_keep_prob)
dec = tf.contrib.layers.layer_norm(dec)
dec = tf.layers.conv2d_transpose(
dec,
first_depth * 2,
3,
padding='same',
activation=tf.nn.relu,
strides=2)
dec = tf.nn.dropout(dec, hparams.van_keep_prob)
dec = tf.layers.conv2d_transpose(
dec, first_depth, 3, padding='same', activation=tf.nn.relu, strides=1)
dec = tf.nn.dropout(dec, hparams.van_keep_prob)
dec = tf.contrib.layers.layer_norm(dec)
dec = tf.layers.conv2d_transpose(
dec,
output_shape[3] + 1,
3,
padding='same',
activation=tf.nn.relu,
strides=2)
dec = tf.nn.dropout(dec, hparams.van_keep_prob)
out_mask = tf.layers.conv2d_transpose(
dec, output_shape[3] + 1, 3, strides=1, padding='same', activation=None)
mask = tf.nn.sigmoid(out_mask[:, :, :, 3:4])
out = out_mask[:, :, :, :3]
return out * mask + skip_connections[0] * (1 - mask)
|
python
|
def van_dec_2d(x, skip_connections, output_shape, first_depth, hparams=None):
"""The VAN decoder.
Args:
x: The analogy information to decode.
skip_connections: The encoder layers which can be used as skip connections.
output_shape: The shape of the desired output image.
first_depth: The depth of the first layer of the van image encoder.
hparams: The python hparams.
Returns:
The decoded image prediction.
"""
with tf.variable_scope('van_dec'):
dec = tf.layers.conv2d_transpose(
x, first_depth * 4, 3, padding='same', activation=tf.nn.relu, strides=2)
dec = tf.nn.dropout(dec, hparams.van_keep_prob)
dec = tf.contrib.layers.layer_norm(dec)
dec = tf.layers.conv2d_transpose(
dec,
first_depth * 4,
3,
padding='same',
activation=tf.nn.relu,
strides=1)
dec = tf.nn.dropout(dec, hparams.van_keep_prob)
dec = tf.layers.conv2d_transpose(
dec,
first_depth * 2,
3,
padding='same',
activation=tf.nn.relu,
strides=1)
dec = tf.nn.dropout(dec, hparams.van_keep_prob)
dec = tf.contrib.layers.layer_norm(dec)
dec = tf.layers.conv2d_transpose(
dec,
first_depth * 2,
3,
padding='same',
activation=tf.nn.relu,
strides=2)
dec = tf.nn.dropout(dec, hparams.van_keep_prob)
dec = tf.layers.conv2d_transpose(
dec, first_depth, 3, padding='same', activation=tf.nn.relu, strides=1)
dec = tf.nn.dropout(dec, hparams.van_keep_prob)
dec = tf.contrib.layers.layer_norm(dec)
dec = tf.layers.conv2d_transpose(
dec,
output_shape[3] + 1,
3,
padding='same',
activation=tf.nn.relu,
strides=2)
dec = tf.nn.dropout(dec, hparams.van_keep_prob)
out_mask = tf.layers.conv2d_transpose(
dec, output_shape[3] + 1, 3, strides=1, padding='same', activation=None)
mask = tf.nn.sigmoid(out_mask[:, :, :, 3:4])
out = out_mask[:, :, :, :3]
return out * mask + skip_connections[0] * (1 - mask)
|
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] |
The VAN decoder.
Args:
x: The analogy information to decode.
skip_connections: The encoder layers which can be used as skip connections.
output_shape: The shape of the desired output image.
first_depth: The depth of the first layer of the van image encoder.
hparams: The python hparams.
Returns:
The decoded image prediction.
|
[
"The",
"VAN",
"decoder",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/epva.py#L185-L249
|
train
|
The VAN decoder.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\x37' + chr(0b101100 + 0o4), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1648 - 1599) + chr(52) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(55) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1100 + 0o47) + chr(0b0 + 0o61) + chr(54), 0b1000), ehT0Px3KOsy9(chr(2183 - 2135) + chr(0b110001 + 0o76) + chr(1466 - 1417) + '\066' + '\x36', 0b1000), ehT0Px3KOsy9(chr(1041 - 993) + chr(111) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\x33' + '\x31', 14336 - 14328), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b110101) + chr(0b101 + 0o53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\x33' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b101001 + 0o13) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + chr(48), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b110101) + chr(55), 37582 - 37574), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + '\x33' + chr(0b1011 + 0o47) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(1900 - 1847) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(3699 - 3588) + chr(51) + '\x36' + chr(54), 36239 - 36231), ehT0Px3KOsy9(chr(48) + chr(0b1011010 + 0o25) + chr(2274 - 2223) + chr(53) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2249 - 2197) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6301 - 6190) + chr(0b110001) + '\067' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2866 - 2755) + chr(51) + chr(0b10111 + 0o32) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\062' + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(12315 - 12204) + chr(194 - 143) + chr(0b1010 + 0o53) + chr(0b10001 + 0o40), 29831 - 29823), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(50) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x37' + '\063', 0o10), ehT0Px3KOsy9(chr(2296 - 2248) + chr(0b1100000 + 0o17) + chr(50), 65465 - 65457), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(2132 - 2078) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(51) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(664 - 613) + chr(1511 - 1458) + chr(0b10000 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6213 - 6102) + chr(1356 - 1305) + chr(0b1010 + 0o52) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5370 - 5259) + chr(561 - 512) + chr(48) + chr(0b11111 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(118 - 70) + chr(10400 - 10289) + '\066' + chr(1530 - 1481), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + chr(1330 - 1219) + '\061' + chr(0b110011) + chr(273 - 225), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110111), 8), ehT0Px3KOsy9(chr(1378 - 1330) + chr(7197 - 7086) + chr(0b110011) + '\x32' + chr(1988 - 1939), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(1828 - 1777) + chr(797 - 749), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(50) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2203 - 2151) + chr(0b101101 + 0o7), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011100 + 0o23) + chr(0b110011) + chr(2262 - 2212), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b10001 + 0o44) + chr(0b110101), 8), ehT0Px3KOsy9(chr(1267 - 1219) + '\x6f' + chr(0b110011) + '\066' + chr(55), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(378 - 325) + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x96'), chr(100) + chr(0b1100101) + chr(2739 - 2640) + chr(0b1101111) + chr(100) + chr(101))(chr(0b1010 + 0o153) + chr(0b1110100) + '\146' + chr(784 - 739) + chr(0b10101 + 0o43)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uDv3mhsyllXn(OeWW0F1dBPRQ, e6AQdc8_qP2j, CeP8heSqnrCd, EBupaXiUii0J, n4ljua2gi1Pr=None):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xce\x04\t\xa7\x17e\xb5M\xc6\x11c\xc0\xa0\x8f'), chr(2900 - 2800) + chr(0b1100101) + chr(7208 - 7109) + chr(0b1101111) + '\144' + chr(1813 - 1712))('\165' + chr(9898 - 9782) + chr(0b111000 + 0o56) + '\x2d' + chr(2903 - 2847)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xce\x04\x15\x91\x12b\xba'), chr(100) + chr(101) + chr(0b111100 + 0o47) + chr(111) + '\x64' + chr(9301 - 9200))(chr(117) + chr(0b1110100) + '\146' + chr(0b1101 + 0o40) + '\070')):
lYfuR8oSO7rp = IDJ2eXGCBCDu.layers.conv2d_transpose(OeWW0F1dBPRQ, EBupaXiUii0J * ehT0Px3KOsy9(chr(48) + '\157' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12156 - 12045) + chr(0b11101 + 0o26), 21688 - 21680), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\x04\x16\xab'), '\144' + chr(0b1100101) + chr(0b1000101 + 0o36) + chr(0b111001 + 0o66) + chr(0b1100100) + chr(10168 - 10067))(chr(4221 - 4104) + '\x74' + chr(3028 - 2926) + '\x2d' + '\070'), activation=IDJ2eXGCBCDu.nn.relu, strides=ehT0Px3KOsy9(chr(306 - 258) + chr(111) + chr(1777 - 1727), 8))
lYfuR8oSO7rp = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(lYfuR8oSO7rp, n4ljua2gi1Pr.van_keep_prob)
lYfuR8oSO7rp = IDJ2eXGCBCDu.contrib.layers.layer_norm(lYfuR8oSO7rp)
lYfuR8oSO7rp = IDJ2eXGCBCDu.layers.conv2d_transpose(lYfuR8oSO7rp, EBupaXiUii0J * ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110100), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10 + 0o61), 8), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\x04\x16\xab'), chr(100) + chr(101) + chr(0b1100011) + '\x6f' + chr(100) + '\x65')(chr(117) + '\164' + '\x66' + chr(0b101101) + '\x38'), activation=IDJ2eXGCBCDu.nn.relu, strides=ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101 + 0o54), 0b1000))
lYfuR8oSO7rp = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(lYfuR8oSO7rp, n4ljua2gi1Pr.van_keep_prob)
lYfuR8oSO7rp = IDJ2eXGCBCDu.layers.conv2d_transpose(lYfuR8oSO7rp, EBupaXiUii0J * ehT0Px3KOsy9('\060' + chr(8704 - 8593) + chr(0b1100 + 0o46), 8), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + '\x33', 8), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\x04\x16\xab'), chr(100) + chr(8163 - 8062) + chr(0b1100010 + 0o1) + '\x6f' + chr(0b1100100) + chr(5762 - 5661))('\x75' + chr(116) + chr(102) + '\055' + chr(56)), activation=IDJ2eXGCBCDu.nn.relu, strides=ehT0Px3KOsy9(chr(48) + chr(0b10010 + 0o135) + chr(49), 8))
lYfuR8oSO7rp = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(lYfuR8oSO7rp, n4ljua2gi1Pr.van_keep_prob)
lYfuR8oSO7rp = IDJ2eXGCBCDu.contrib.layers.layer_norm(lYfuR8oSO7rp)
lYfuR8oSO7rp = IDJ2eXGCBCDu.layers.conv2d_transpose(lYfuR8oSO7rp, EBupaXiUii0J * ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + chr(0b110 + 0o151) + chr(0b1010 + 0o51), 8), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\x04\x16\xab'), '\144' + chr(3305 - 3204) + chr(0b1100011) + '\x6f' + '\x64' + chr(101))('\x75' + '\164' + chr(0b1100110) + chr(45) + '\x38'), activation=IDJ2eXGCBCDu.nn.relu, strides=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1 + 0o61), 8))
lYfuR8oSO7rp = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(lYfuR8oSO7rp, n4ljua2gi1Pr.van_keep_prob)
lYfuR8oSO7rp = IDJ2eXGCBCDu.layers.conv2d_transpose(lYfuR8oSO7rp, EBupaXiUii0J, ehT0Px3KOsy9(chr(0b110000) + chr(7355 - 7244) + chr(51), 8), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\x04\x16\xab'), '\144' + '\145' + chr(0b100111 + 0o74) + chr(7370 - 7259) + '\x64' + chr(101))(chr(117) + '\x74' + chr(0b11111 + 0o107) + chr(0b101101) + chr(2219 - 2163)), activation=IDJ2eXGCBCDu.nn.relu, strides=ehT0Px3KOsy9('\060' + '\157' + chr(0b100110 + 0o13), 8))
lYfuR8oSO7rp = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(lYfuR8oSO7rp, n4ljua2gi1Pr.van_keep_prob)
lYfuR8oSO7rp = IDJ2eXGCBCDu.contrib.layers.layer_norm(lYfuR8oSO7rp)
lYfuR8oSO7rp = IDJ2eXGCBCDu.layers.conv2d_transpose(lYfuR8oSO7rp, CeP8heSqnrCd[ehT0Px3KOsy9(chr(48) + '\157' + chr(2234 - 2183), 8)] + ehT0Px3KOsy9(chr(211 - 163) + chr(0b1101001 + 0o6) + chr(49), 8), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(2275 - 2224), 8), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\x04\x16\xab'), '\x64' + '\145' + chr(99) + chr(3453 - 3342) + '\144' + chr(101))('\x75' + '\164' + '\x66' + '\055' + '\070'), activation=IDJ2eXGCBCDu.nn.relu, strides=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2208 - 2158), 8))
lYfuR8oSO7rp = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(lYfuR8oSO7rp, n4ljua2gi1Pr.van_keep_prob)
WTf2R03MYbDp = IDJ2eXGCBCDu.layers.conv2d_transpose(lYfuR8oSO7rp, CeP8heSqnrCd[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33', 8)] + ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b10000 + 0o137) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(0b110011), 8), strides=ehT0Px3KOsy9('\x30' + chr(6684 - 6573) + chr(49), 8), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\x04\x16\xab'), chr(0b1111 + 0o125) + chr(101) + '\143' + chr(0b1101111) + '\144' + '\x65')('\165' + chr(116) + '\x66' + '\055' + chr(56)), activation=None)
Iz1jSgUKZDvt = IDJ2eXGCBCDu.nn.sigmoid(WTf2R03MYbDp[:, :, :, ehT0Px3KOsy9('\x30' + '\157' + chr(51), 8):ehT0Px3KOsy9(chr(2148 - 2100) + chr(0b1101111) + chr(0b10010 + 0o42), 8)])
UkrMp_I0RDmo = WTf2R03MYbDp[:, :, :, :ehT0Px3KOsy9('\060' + chr(371 - 260) + chr(0b110011), 8)]
return UkrMp_I0RDmo * Iz1jSgUKZDvt + e6AQdc8_qP2j[ehT0Px3KOsy9(chr(1648 - 1600) + chr(111) + '\x30', 8)] * (ehT0Px3KOsy9(chr(112 - 64) + '\x6f' + '\x31', 8) - Iz1jSgUKZDvt)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/epva.py
|
analogy_computation_2d
|
def analogy_computation_2d(f_first_enc,
f_first_frame,
f_current_enc,
first_depth):
"""Implements the deep analogy computation."""
with tf.variable_scope('analogy_computation'):
frame_enc_diff = f_first_frame - f_first_enc
frame_enc_diff_enc = tf.layers.conv2d(
frame_enc_diff,
first_depth * 4,
3,
padding='same',
activation=tf.nn.relu,
strides=1)
f_current_enc_enc = tf.layers.conv2d(
f_current_enc,
first_depth * 4,
3,
padding='same',
activation=tf.nn.relu,
strides=1)
analogy = tf.concat([frame_enc_diff_enc, f_current_enc_enc], 3)
analogy = tf.layers.conv2d(
analogy,
first_depth * 4,
3,
padding='same',
activation=tf.nn.relu,
strides=1)
analogy = tf.contrib.layers.layer_norm(analogy)
analogy = tf.layers.conv2d(
analogy,
first_depth * 4,
3,
padding='same',
activation=tf.nn.relu,
strides=1)
return tf.layers.conv2d(
analogy,
first_depth * 4,
3,
padding='same',
activation=tf.nn.relu,
strides=1)
|
python
|
def analogy_computation_2d(f_first_enc,
f_first_frame,
f_current_enc,
first_depth):
"""Implements the deep analogy computation."""
with tf.variable_scope('analogy_computation'):
frame_enc_diff = f_first_frame - f_first_enc
frame_enc_diff_enc = tf.layers.conv2d(
frame_enc_diff,
first_depth * 4,
3,
padding='same',
activation=tf.nn.relu,
strides=1)
f_current_enc_enc = tf.layers.conv2d(
f_current_enc,
first_depth * 4,
3,
padding='same',
activation=tf.nn.relu,
strides=1)
analogy = tf.concat([frame_enc_diff_enc, f_current_enc_enc], 3)
analogy = tf.layers.conv2d(
analogy,
first_depth * 4,
3,
padding='same',
activation=tf.nn.relu,
strides=1)
analogy = tf.contrib.layers.layer_norm(analogy)
analogy = tf.layers.conv2d(
analogy,
first_depth * 4,
3,
padding='same',
activation=tf.nn.relu,
strides=1)
return tf.layers.conv2d(
analogy,
first_depth * 4,
3,
padding='same',
activation=tf.nn.relu,
strides=1)
|
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] |
Implements the deep analogy computation.
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/epva.py#L252-L298
|
train
|
Implements the deep analogy computation.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(55) + chr(502 - 454), ord("\x08")), ehT0Px3KOsy9(chr(1900 - 1852) + chr(0b1010000 + 0o37) + '\063' + '\062' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + '\062', 18492 - 18484), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10 + 0o61) + chr(0b110010 + 0o2) + chr(0b110010), 114 - 106), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\064' + '\x30', 0o10), ehT0Px3KOsy9(chr(1662 - 1614) + chr(11300 - 11189) + '\x33' + '\x31' + chr(0b101 + 0o55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000 + 0o2) + chr(0b1001 + 0o55) + chr(0b10100 + 0o34), 42461 - 42453), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(1240 - 1189) + chr(2591 - 2538) + chr(52), 991 - 983), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(2182 - 2132) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + '\x33' + chr(1033 - 979) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(1566 - 1516) + chr(0b110101) + '\062', 0o10), ehT0Px3KOsy9(chr(1534 - 1486) + chr(6621 - 6510) + chr(0b110001) + chr(0b110111) + chr(2039 - 1988), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\x31' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5289 - 5178) + chr(0b110111) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(52) + '\x32', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(54) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b110010 + 0o3) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1100001 + 0o16) + chr(0b110010) + '\066' + '\x37', 0o10), ehT0Px3KOsy9(chr(1505 - 1457) + chr(2791 - 2680) + chr(105 - 54) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1016 - 968) + chr(0b10100 + 0o133) + chr(0b110010) + '\x33' + '\x30', 51105 - 51097), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(0b110011) + chr(0b110111) + chr(0b1000 + 0o52), 49172 - 49164), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + '\061' + chr(51) + chr(242 - 193), 9409 - 9401), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + '\061' + chr(53) + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(2012 - 1962) + chr(1412 - 1362) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b101001 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + '\061' + '\062' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + chr(0b110001) + chr(221 - 173) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + chr(0b110011) + chr(1578 - 1529) + chr(0b11101 + 0o26), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(517 - 467) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x30' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001110 + 0o41) + chr(0b110100) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + '\062' + chr(842 - 790) + '\x31', 3561 - 3553), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b110100) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101) + chr(0b110111), 38845 - 38837), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + '\061' + '\x35' + '\x34', 42441 - 42433), ehT0Px3KOsy9(chr(48) + chr(0b110110 + 0o71) + chr(1728 - 1678) + chr(0b10101 + 0o37) + chr(0b110010), 1790 - 1782), ehT0Px3KOsy9(chr(48) + chr(1334 - 1223) + chr(51) + chr(51) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + '\x32' + '\064' + '\x31', 8), ehT0Px3KOsy9(chr(897 - 849) + chr(111) + chr(0b101 + 0o55) + '\x35' + chr(53), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + chr(0b110 + 0o52), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6'), chr(5401 - 5301) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(100) + chr(101))(chr(12951 - 12834) + '\x74' + '\x66' + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wbvqDAuz10b7(dpYYOBU7kb7y, Zv1AVtvmdooL, YEQlY6LMjpXy, EBupaXiUii0J):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\xb6p\x8b\x81\xa8\xdc\x89\xcb\x85\xc9\x14?['), chr(0b1100100) + chr(101) + '\x63' + chr(8122 - 8011) + chr(0b1100100) + '\145')(chr(117) + chr(0b111 + 0o155) + '\x66' + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x99\xb9c\x8e\x8f\xad\xc9\xb3\xf7\x99\xc7\x0b:J\x83\x01\x07\xd8u'), chr(100) + chr(5821 - 5720) + chr(0b10000 + 0o123) + '\x6f' + chr(0b10011 + 0o121) + chr(0b1100101))(chr(117) + '\x74' + chr(102) + '\055' + chr(56))):
ui9GEfWFzyos = Zv1AVtvmdooL - dpYYOBU7kb7y
IhEXoR6Gv3Op = IDJ2eXGCBCDu.layers.conv2d(ui9GEfWFzyos, EBupaXiUii0J * ehT0Px3KOsy9('\060' + chr(111) + chr(167 - 115), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(51), 19430 - 19422), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\xb6o\x87'), chr(0b1000 + 0o134) + '\x65' + '\x63' + chr(1050 - 939) + '\144' + '\145')(chr(0b1101011 + 0o12) + '\164' + chr(102) + '\055' + chr(0b111000)), activation=IDJ2eXGCBCDu.nn.relu, strides=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(331 - 282), ord("\x08")))
qg97_DL4suu7 = IDJ2eXGCBCDu.layers.conv2d(YEQlY6LMjpXy, EBupaXiUii0J * ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(444 - 392), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(2525 - 2474), 8), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\xb6o\x87'), chr(2447 - 2347) + chr(101) + chr(0b10011 + 0o120) + chr(0b1010011 + 0o34) + '\x64' + chr(4537 - 4436))(chr(10750 - 10633) + chr(4735 - 4619) + '\x66' + '\055' + chr(2604 - 2548)), activation=IDJ2eXGCBCDu.nn.relu, strides=ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 8))
XCI7ixPF9abG = IDJ2eXGCBCDu.concat([IhEXoR6Gv3Op, qg97_DL4suu7], ehT0Px3KOsy9('\x30' + chr(10436 - 10325) + '\063', 8))
XCI7ixPF9abG = IDJ2eXGCBCDu.layers.conv2d(XCI7ixPF9abG, EBupaXiUii0J * ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(208 - 156), 8), ehT0Px3KOsy9(chr(48) + chr(10961 - 10850) + chr(0b110011), 8), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\xb6o\x87'), chr(4623 - 4523) + '\145' + chr(99) + chr(0b1101111) + '\x64' + chr(101))(chr(3494 - 3377) + '\164' + chr(0b100011 + 0o103) + chr(824 - 779) + '\x38'), activation=IDJ2eXGCBCDu.nn.relu, strides=ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31', 8))
XCI7ixPF9abG = IDJ2eXGCBCDu.contrib.layers.layer_norm(XCI7ixPF9abG)
XCI7ixPF9abG = IDJ2eXGCBCDu.layers.conv2d(XCI7ixPF9abG, EBupaXiUii0J * ehT0Px3KOsy9(chr(866 - 818) + chr(1303 - 1192) + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\063', 8), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\xb6o\x87'), chr(4998 - 4898) + chr(9234 - 9133) + chr(6541 - 6442) + '\157' + '\144' + '\x65')('\165' + '\x74' + '\146' + chr(0b101101) + '\x38'), activation=IDJ2eXGCBCDu.nn.relu, strides=ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11011 + 0o26), 8))
return xafqLlk3kkUe(IDJ2eXGCBCDu.layers, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\xb8l\x94\xd2\xae'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\144' + chr(101))('\x75' + chr(116) + chr(0b111010 + 0o54) + '\x2d' + chr(872 - 816)))(XCI7ixPF9abG, EBupaXiUii0J * ehT0Px3KOsy9('\x30' + '\157' + '\x34', 8), ehT0Px3KOsy9('\x30' + chr(0b1011010 + 0o25) + '\x33', 8), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\xb6o\x87'), chr(9522 - 9422) + '\x65' + chr(0b1100011) + chr(0b1010101 + 0o32) + chr(0b1100100) + '\145')(chr(0b1010001 + 0o44) + chr(0b1101001 + 0o13) + '\146' + chr(45) + '\x38'), activation=xafqLlk3kkUe(IDJ2eXGCBCDu.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\xb2n\x97'), chr(0b101010 + 0o72) + chr(0b1100101) + chr(0b1100011) + chr(0b100 + 0o153) + '\144' + chr(101))(chr(10616 - 10499) + '\164' + '\146' + chr(0b101101) + '\x38')), strides=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1731 - 1682), 8))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/epva.py
|
van
|
def van(first_enc,
first_frame,
current_enc,
gt_image,
reuse=False,
scope_prefix='',
hparams=None):
"""Implements a VAN.
Args:
first_enc: The first encoding.
first_frame: The first ground truth frame.
current_enc: The encoding of the frame to generate.
gt_image: The ground truth image, only used for regularization.
reuse: To reuse in variable scope or not.
scope_prefix: The prefix before the scope name.
hparams: The python hparams.
Returns:
The generated image.
"""
with tf.variable_scope(scope_prefix + 'van', reuse=reuse):
output_shape = first_frame.get_shape().as_list()
output_shape[0] = -1
first_depth = 64
f_first_enc, _ = van_enc_2d(first_enc, first_depth)
f_first_frame, image_enc_history = van_image_enc_2d(
first_frame, first_depth, hparams=hparams)
f_current_enc, van_higher_level = van_enc_2d(
current_enc, first_depth, reuse=True)
f_gt_image, _ = van_image_enc_2d(gt_image, first_depth, True,
hparams=hparams)
analogy_t = analogy_computation_2d(
f_first_enc, f_first_frame, f_current_enc, first_depth)
enc_img = f_current_enc + analogy_t
img = van_dec_2d(
enc_img, image_enc_history, output_shape, first_depth, hparams=hparams)
batch_size = tf.to_float(tf.shape(first_enc)[0])
r_loss = tf.nn.l2_loss(f_gt_image - f_current_enc - analogy_t) / batch_size
return img, r_loss, van_higher_level
|
python
|
def van(first_enc,
first_frame,
current_enc,
gt_image,
reuse=False,
scope_prefix='',
hparams=None):
"""Implements a VAN.
Args:
first_enc: The first encoding.
first_frame: The first ground truth frame.
current_enc: The encoding of the frame to generate.
gt_image: The ground truth image, only used for regularization.
reuse: To reuse in variable scope or not.
scope_prefix: The prefix before the scope name.
hparams: The python hparams.
Returns:
The generated image.
"""
with tf.variable_scope(scope_prefix + 'van', reuse=reuse):
output_shape = first_frame.get_shape().as_list()
output_shape[0] = -1
first_depth = 64
f_first_enc, _ = van_enc_2d(first_enc, first_depth)
f_first_frame, image_enc_history = van_image_enc_2d(
first_frame, first_depth, hparams=hparams)
f_current_enc, van_higher_level = van_enc_2d(
current_enc, first_depth, reuse=True)
f_gt_image, _ = van_image_enc_2d(gt_image, first_depth, True,
hparams=hparams)
analogy_t = analogy_computation_2d(
f_first_enc, f_first_frame, f_current_enc, first_depth)
enc_img = f_current_enc + analogy_t
img = van_dec_2d(
enc_img, image_enc_history, output_shape, first_depth, hparams=hparams)
batch_size = tf.to_float(tf.shape(first_enc)[0])
r_loss = tf.nn.l2_loss(f_gt_image - f_current_enc - analogy_t) / batch_size
return img, r_loss, van_higher_level
|
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")",
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"batch_size",
"return",
"img",
",",
"r_loss",
",",
"van_higher_level"
] |
Implements a VAN.
Args:
first_enc: The first encoding.
first_frame: The first ground truth frame.
current_enc: The encoding of the frame to generate.
gt_image: The ground truth image, only used for regularization.
reuse: To reuse in variable scope or not.
scope_prefix: The prefix before the scope name.
hparams: The python hparams.
Returns:
The generated image.
|
[
"Implements",
"a",
"VAN",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/epva.py#L301-L346
|
train
|
Implements a VAN.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1019 - 971) + '\x6f' + '\061' + '\066' + chr(0b101000 + 0o11), 48869 - 48861), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(830 - 719) + chr(115 - 64) + chr(0b110101) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101110 + 0o101) + '\x32' + chr(90 - 42) + chr(0b11101 + 0o26), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1296 - 1245) + chr(53) + '\066', 8), ehT0Px3KOsy9(chr(1106 - 1058) + chr(8393 - 8282) + '\x32' + chr(0b11101 + 0o31) + chr(1130 - 1082), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\060' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2155 - 2104) + chr(50) + '\061', 23387 - 23379), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(0b110011) + chr(0b11100 + 0o30) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b110000) + chr(0b1110 + 0o51), 0o10), ehT0Px3KOsy9('\x30' + chr(1613 - 1502) + '\x33' + chr(0b110101) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(0b110010) + chr(0b11111 + 0o25) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b11011 + 0o34) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(11483 - 11372) + chr(53) + '\x37', 0o10), ehT0Px3KOsy9(chr(1996 - 1948) + chr(0b1101111) + chr(50) + '\066' + '\061', 0o10), ehT0Px3KOsy9(chr(1623 - 1575) + '\157' + chr(633 - 584) + chr(52) + chr(53), 45484 - 45476), ehT0Px3KOsy9('\x30' + chr(0b1000111 + 0o50) + '\x33' + '\x33' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(2350 - 2297) + chr(0b11101 + 0o26), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10100 + 0o133) + '\061' + chr(54) + '\067', 56129 - 56121), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b11000 + 0o36) + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1507 - 1458) + chr(55) + chr(165 - 111), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101110 + 0o4) + chr(911 - 857) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101010 + 0o11) + chr(0b110110) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + '\062' + '\066' + chr(0b101010 + 0o13), 61591 - 61583), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + '\063' + chr(53) + chr(0b1010 + 0o53), 0o10), ehT0Px3KOsy9(chr(1153 - 1105) + chr(0b1101111) + chr(2906 - 2851), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(51) + '\061', 61325 - 61317), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\064' + chr(2137 - 2083), 0o10), ehT0Px3KOsy9('\060' + chr(0b10000 + 0o137) + chr(0b110110) + chr(0b10 + 0o65), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b11101 + 0o24) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(2543 - 2432) + chr(2466 - 2416) + '\064' + chr(785 - 736), 0o10), ehT0Px3KOsy9(chr(1296 - 1248) + chr(0b1101111) + '\062' + chr(1432 - 1378) + '\061', 8), ehT0Px3KOsy9(chr(1239 - 1191) + chr(0b1101001 + 0o6) + chr(0b110010) + chr(0b10010 + 0o42) + '\x30', 8), ehT0Px3KOsy9(chr(1946 - 1898) + chr(111) + chr(51) + '\062' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(2660 - 2605) + chr(0b1 + 0o66), 40908 - 40900), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b101010 + 0o14) + chr(0b11010 + 0o26), 8), ehT0Px3KOsy9(chr(1284 - 1236) + chr(111) + '\062' + chr(0b100011 + 0o21) + '\x35', 25720 - 25712), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b110000) + chr(0b1000 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110 + 0o53) + chr(55) + chr(55), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101101 + 0o5) + chr(0b110110) + chr(0b110110), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + chr(70 - 22), 23668 - 23660)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'_'), '\x64' + '\x65' + chr(0b1100011) + '\x6f' + chr(0b1011111 + 0o5) + chr(4270 - 4169))(chr(0b1100111 + 0o16) + '\164' + chr(0b1000110 + 0o40) + chr(0b101101) + chr(3015 - 2959)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def YRCsIBwGvLWt(jBu7F1KmEQ6g, niQlyUHVkLEK, qnBXe97BdSU7, SZEArmD2qjEa, pmC5wdSFgdFj=ehT0Px3KOsy9('\060' + '\157' + chr(0b110000), 0b1000), qIzCQVoWrDTz=xafqLlk3kkUe(SXOLrMavuUCe(b''), '\144' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1100100) + chr(101))(chr(117) + '\164' + chr(0b1100110) + chr(1537 - 1492) + '\x38'), n4ljua2gi1Pr=None):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\x8f\xf1\x87\xd1\xe3\xbd}\xbc\xf4\x88\xcf\x0eJ'), chr(0b1100100) + chr(0b1000 + 0o135) + chr(99) + chr(111) + chr(4921 - 4821) + '\x65')(chr(0b1110101) + chr(116) + '\x66' + '\x2d' + '\070'))(qIzCQVoWrDTz + xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\x8f\xed'), chr(8323 - 8223) + chr(6560 - 6459) + chr(99) + '\157' + chr(100) + '\145')('\x75' + chr(8613 - 8497) + chr(0b1100110) + chr(0b10101 + 0o30) + '\x38'), reuse=pmC5wdSFgdFj):
CeP8heSqnrCd = niQlyUHVkLEK.get_shape().as_list()
CeP8heSqnrCd[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x30', 8)] = -ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), 0o10)
EBupaXiUii0J = ehT0Px3KOsy9(chr(2145 - 2097) + chr(0b1101111) + '\x31' + chr(48) + '\060', 0b1000)
(dpYYOBU7kb7y, VNGQdHSFPrso) = q8Xe6MQ0Uzj5(jBu7F1KmEQ6g, EBupaXiUii0J)
(Zv1AVtvmdooL, kjA2nwYAXbM1) = nORJRPsgwBq0(niQlyUHVkLEK, EBupaXiUii0J, hparams=n4ljua2gi1Pr)
(YEQlY6LMjpXy, UBO3sRo8_cHL) = q8Xe6MQ0Uzj5(qnBXe97BdSU7, EBupaXiUii0J, reuse=ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + chr(0b0 + 0o61), 8))
(Hh47lJrrJHVS, VNGQdHSFPrso) = nORJRPsgwBq0(SZEArmD2qjEa, EBupaXiUii0J, ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(10968 - 10857) + chr(0b11010 + 0o27), 8), hparams=n4ljua2gi1Pr)
Zs8GoW8eEZrd = wbvqDAuz10b7(dpYYOBU7kb7y, Zv1AVtvmdooL, YEQlY6LMjpXy, EBupaXiUii0J)
uXtkeW4kslB6 = YEQlY6LMjpXy + Zs8GoW8eEZrd
s63jeLEbd8fs = uDv3mhsyllXn(uXtkeW4kslB6, kjA2nwYAXbM1, CeP8heSqnrCd, EBupaXiUii0J, hparams=n4ljua2gi1Pr)
ix9dZyeAmUxY = IDJ2eXGCBCDu.ZUL3kHBGU8Uu(IDJ2eXGCBCDu.nauYfLglTpcb(jBu7F1KmEQ6g)[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x30', 8)])
qDiEeehen1a9 = IDJ2eXGCBCDu.nn.l2_loss(Hh47lJrrJHVS - YEQlY6LMjpXy - Zs8GoW8eEZrd) / ix9dZyeAmUxY
return (s63jeLEbd8fs, qDiEeehen1a9, UBO3sRo8_cHL)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/epva.py
|
encoder_vgg
|
def encoder_vgg(x, enc_final_size, reuse=False, scope_prefix='', hparams=None,
is_training=True):
"""VGG network to use as encoder without the top few layers.
Can be pretrained.
Args:
x: The image to encode. In the range 0 to 1.
enc_final_size: The desired size of the encoding.
reuse: To reuse in variable scope or not.
scope_prefix: The prefix before the scope name.
hparams: The python hparams.
is_training: boolean value indicating if training is happening.
Returns:
The generated image.
"""
with tf.variable_scope(scope_prefix + 'encoder', reuse=reuse):
# Preprocess input
x *= 256
x = x - COLOR_NORMALIZATION_VECTOR
with arg_scope(vgg.vgg_arg_scope()):
# Padding because vgg_16 accepts images of size at least VGG_IMAGE_SIZE.
x = tf.pad(x, [[0, 0], [0, VGG_IMAGE_SIZE - IMG_WIDTH],
[0, VGG_IMAGE_SIZE - IMG_HEIGHT], [0, 0]])
_, end_points = vgg.vgg_16(
x,
num_classes=enc_final_size,
is_training=is_training)
pool5_key = [key for key in end_points.keys() if 'pool5' in key]
assert len(pool5_key) == 1
enc = end_points[pool5_key[0]]
# Undoing padding.
enc = tf.slice(enc, [0, 0, 0, 0], [-1, 2, 2, -1])
enc_shape = enc.get_shape().as_list()
enc_shape[0] = -1
enc_size = enc_shape[1] * enc_shape[2] * enc_shape[3]
enc_flat = tf.reshape(enc, (-1, enc_size))
enc_flat = tf.nn.dropout(enc_flat, hparams.enc_keep_prob)
enc_flat = tf.layers.dense(
enc_flat,
enc_final_size,
kernel_initializer=tf.truncated_normal_initializer(stddev=1e-4,))
if hparams.enc_pred_use_l2norm:
enc_flat = tf.nn.l2_normalize(enc_flat, 1)
return enc_flat
|
python
|
def encoder_vgg(x, enc_final_size, reuse=False, scope_prefix='', hparams=None,
is_training=True):
"""VGG network to use as encoder without the top few layers.
Can be pretrained.
Args:
x: The image to encode. In the range 0 to 1.
enc_final_size: The desired size of the encoding.
reuse: To reuse in variable scope or not.
scope_prefix: The prefix before the scope name.
hparams: The python hparams.
is_training: boolean value indicating if training is happening.
Returns:
The generated image.
"""
with tf.variable_scope(scope_prefix + 'encoder', reuse=reuse):
# Preprocess input
x *= 256
x = x - COLOR_NORMALIZATION_VECTOR
with arg_scope(vgg.vgg_arg_scope()):
# Padding because vgg_16 accepts images of size at least VGG_IMAGE_SIZE.
x = tf.pad(x, [[0, 0], [0, VGG_IMAGE_SIZE - IMG_WIDTH],
[0, VGG_IMAGE_SIZE - IMG_HEIGHT], [0, 0]])
_, end_points = vgg.vgg_16(
x,
num_classes=enc_final_size,
is_training=is_training)
pool5_key = [key for key in end_points.keys() if 'pool5' in key]
assert len(pool5_key) == 1
enc = end_points[pool5_key[0]]
# Undoing padding.
enc = tf.slice(enc, [0, 0, 0, 0], [-1, 2, 2, -1])
enc_shape = enc.get_shape().as_list()
enc_shape[0] = -1
enc_size = enc_shape[1] * enc_shape[2] * enc_shape[3]
enc_flat = tf.reshape(enc, (-1, enc_size))
enc_flat = tf.nn.dropout(enc_flat, hparams.enc_keep_prob)
enc_flat = tf.layers.dense(
enc_flat,
enc_final_size,
kernel_initializer=tf.truncated_normal_initializer(stddev=1e-4,))
if hparams.enc_pred_use_l2norm:
enc_flat = tf.nn.l2_normalize(enc_flat, 1)
return enc_flat
|
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] |
VGG network to use as encoder without the top few layers.
Can be pretrained.
Args:
x: The image to encode. In the range 0 to 1.
enc_final_size: The desired size of the encoding.
reuse: To reuse in variable scope or not.
scope_prefix: The prefix before the scope name.
hparams: The python hparams.
is_training: boolean value indicating if training is happening.
Returns:
The generated image.
|
[
"VGG",
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"to",
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"as",
"encoder",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/epva.py#L349-L401
|
train
|
VGG network to use as encoder.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\x33' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(2595 - 2484) + chr(0b11000 + 0o35), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(451 - 402) + '\x33', 0b1000), ehT0Px3KOsy9(chr(2079 - 2031) + chr(5965 - 5854) + chr(0b110001 + 0o2) + chr(0b0 + 0o63) + chr(0b100001 + 0o25), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b110001) + chr(997 - 945), 44001 - 43993), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\063' + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(8895 - 8784) + '\063' + '\065' + chr(0b110111), 51178 - 51170), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1709 - 1660) + chr(959 - 905) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10100 + 0o36) + chr(151 - 96) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6170 - 6059) + '\x32' + chr(0b110011) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(2504 - 2449) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1718 - 1670) + chr(1169 - 1058) + chr(2454 - 2403) + chr(50) + chr(0b11110 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(52) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + '\063' + chr(0b100 + 0o60) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x34' + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(1055 - 1007), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b110011) + chr(55) + chr(0b110100), 13963 - 13955), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(0b110010) + chr(0b1010 + 0o53) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1587 - 1539) + chr(2442 - 2331) + chr(0b110011) + chr(0b110000) + chr(54), 43563 - 43555), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(53) + chr(2153 - 2103), 0b1000), ehT0Px3KOsy9(chr(109 - 61) + chr(0b1101111) + chr(0b10100 + 0o36) + '\064', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(2042 - 1992) + '\x34' + chr(53), 56504 - 56496), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100110 + 0o20) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b101000 + 0o10) + chr(0b10111 + 0o40), 65119 - 65111), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(3688 - 3577) + '\x33' + '\x37' + '\x32', 43138 - 43130), ehT0Px3KOsy9(chr(2267 - 2219) + chr(7822 - 7711) + '\063' + '\060' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4056 - 3945) + chr(0b110011) + chr(0b11110 + 0o30) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\064' + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110111) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b111000 + 0o67) + '\x33' + '\x37' + '\x37', 0o10), ehT0Px3KOsy9(chr(1439 - 1391) + chr(0b1101010 + 0o5) + chr(49) + '\x36' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1011001 + 0o26) + '\064' + chr(0b100100 + 0o16), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x36' + '\x32', 0b1000), ehT0Px3KOsy9(chr(1899 - 1851) + '\x6f' + chr(0b1100 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + '\062' + chr(51) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + '\x32' + '\067' + chr(386 - 336), 0o10), ehT0Px3KOsy9('\x30' + chr(9119 - 9008) + '\x31' + chr(55) + chr(0b0 + 0o62), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8139 - 8028) + '\061' + '\067' + chr(0b101 + 0o55), 8), ehT0Px3KOsy9(chr(466 - 418) + chr(0b1101111) + '\x34' + chr(1708 - 1653), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1425 - 1377) + '\157' + chr(53) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\157' + '\144' + '\x65')('\x75' + chr(6681 - 6565) + chr(0b1100110) + chr(0b100001 + 0o14) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mzfspRDq2mO5(OeWW0F1dBPRQ, nZHvZsywjqvt, pmC5wdSFgdFj=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(48), ord("\x08")), qIzCQVoWrDTz=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(8637 - 8537) + '\145' + chr(875 - 776) + chr(392 - 281) + chr(100) + chr(0b101001 + 0o74))('\x75' + chr(11443 - 11327) + chr(102) + chr(1226 - 1181) + chr(0b111000)), n4ljua2gi1Pr=None, XQJVi3cQFN5l=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2027 - 1978), 25123 - 25115)):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xabdy\xb7\xed>\x83\x11\xe7\xea\xdd\xbdP\x82'), chr(6776 - 6676) + chr(0b1100101) + '\x63' + chr(0b10 + 0o155) + chr(100) + chr(0b1011011 + 0o12))(chr(0b1110101) + chr(116) + '\x66' + chr(0b101101) + chr(0b110001 + 0o7)))(qIzCQVoWrDTz + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8kh\xb1\xe89\x9d'), '\x64' + '\145' + '\143' + chr(5763 - 5652) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(45) + '\x38'), reuse=pmC5wdSFgdFj):
OeWW0F1dBPRQ *= ehT0Px3KOsy9(chr(0b110000) + chr(3200 - 3089) + chr(2355 - 2303) + chr(0b11010 + 0o26) + chr(0b110000), 0b1000)
OeWW0F1dBPRQ = OeWW0F1dBPRQ - oMze1YuPisMw
with SnQgUGzTRunV(xafqLlk3kkUe(M1MareyFmiLc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xabbl\x81\xed.\x88+\xcb\xfa\xd1\xa2E'), '\x64' + '\x65' + chr(3917 - 3818) + '\x6f' + chr(100) + chr(101))('\x75' + '\164' + chr(0b1010101 + 0o21) + chr(1572 - 1527) + chr(365 - 309)))()):
OeWW0F1dBPRQ = IDJ2eXGCBCDu.pad(OeWW0F1dBPRQ, [[ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x30', 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\060', 8)], [ehT0Px3KOsy9(chr(450 - 402) + chr(1515 - 1404) + chr(0b110000), 8), konXXTYtg7S1 - Fa1QcgYZ7yz6], [ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(3806 - 3695) + '\060', 8), konXXTYtg7S1 - QFfdy97KfHo5], [ehT0Px3KOsy9('\x30' + chr(9985 - 9874) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + chr(2661 - 2550) + chr(0b110000), 8)]])
(VNGQdHSFPrso, dy86g9LlSYFa) = M1MareyFmiLc.vgg_16(OeWW0F1dBPRQ, num_classes=nZHvZsywjqvt, is_training=XQJVi3cQFN5l)
He0LSf7GEqyr = [K3J4ZwSlE0sT for K3J4ZwSlE0sT in dy86g9LlSYFa.keys() if xafqLlk3kkUe(SXOLrMavuUCe(b'\xadjd\xb2\xb9'), chr(1641 - 1541) + chr(101) + chr(0b1100011) + chr(0b1000101 + 0o52) + chr(0b1100100) + '\x65')(chr(0b1010110 + 0o37) + '\x74' + chr(102) + '\x2d' + chr(56)) in K3J4ZwSlE0sT]
assert c2A0yzQpDQB3(He0LSf7GEqyr) == ehT0Px3KOsy9(chr(48) + chr(3846 - 3735) + chr(0b10001 + 0o40), 8)
xSFlcaLQlVle = dy86g9LlSYFa[He0LSf7GEqyr[ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 8)]]
xSFlcaLQlVle = IDJ2eXGCBCDu.slice(xSFlcaLQlVle, [ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b100001 + 0o17), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\060', 8), ehT0Px3KOsy9(chr(1025 - 977) + '\x6f' + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 8)], [-ehT0Px3KOsy9(chr(496 - 448) + '\x6f' + '\061', 8), ehT0Px3KOsy9('\060' + chr(10871 - 10760) + chr(1685 - 1635), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(2159 - 2109), 8), -ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101010 + 0o7), 8)])
QyCM1j_f2GaG = xSFlcaLQlVle.get_shape().as_list()
QyCM1j_f2GaG[ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(0b11100 + 0o24), 8)] = -ehT0Px3KOsy9('\x30' + chr(3568 - 3457) + chr(0b1011 + 0o46), 8)
bBGmIStD1msZ = QyCM1j_f2GaG[ehT0Px3KOsy9(chr(450 - 402) + chr(0b1101111) + chr(0b110001), 8)] * QyCM1j_f2GaG[ehT0Px3KOsy9('\x30' + chr(0b1001110 + 0o41) + chr(50), 8)] * QyCM1j_f2GaG[ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1011 + 0o50), 0b1000)]
BodGbE8FZJLo = IDJ2eXGCBCDu.reshape(xSFlcaLQlVle, (-ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + '\061', 8), bBGmIStD1msZ))
BodGbE8FZJLo = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(BodGbE8FZJLo, n4ljua2gi1Pr.enc_keep_prob)
BodGbE8FZJLo = IDJ2eXGCBCDu.layers.dense(BodGbE8FZJLo, nZHvZsywjqvt, kernel_initializer=IDJ2eXGCBCDu.truncated_normal_initializer(stddev=0.0001))
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8kh\x81\xfc.\x8a\x10\xe7\xec\xcd\xb7\x7f\x8b\x13v\x93\xde\xab'), chr(100) + chr(3021 - 2920) + chr(0b10011 + 0o120) + chr(0b101000 + 0o107) + chr(5679 - 5579) + '\145')(chr(117) + '\164' + '\x66' + '\055' + chr(56))):
BodGbE8FZJLo = IDJ2eXGCBCDu.nn.l2_normalize(BodGbE8FZJLo, ehT0Px3KOsy9(chr(1648 - 1600) + chr(8973 - 8862) + chr(0b110001), 8))
return BodGbE8FZJLo
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/epva.py
|
predictor
|
def predictor(enc_flat,
action,
lstm_states,
pred_depth,
reuse=False,
scope_prefix='',
hparams=None):
"""LSTM predictor network."""
with tf.variable_scope(scope_prefix + 'predict', reuse=reuse):
enc_final_size = enc_flat.get_shape().as_list()[1]
action_size = action.get_shape().as_list()[1]
initial_size = (enc_final_size + action_size)
batch_size = tf.shape(enc_flat)[0]
init_stddev = 1e-2
pre_pred = tf.concat([enc_flat, action], 1)
pre_pred = tf.layers.dense(
pre_pred,
initial_size,
kernel_initializer=tf.truncated_normal_initializer(stddev=init_stddev))
# This is only needed or the GAN version.
if hparams.pred_noise_std > 0:
# Add the noise like this so a pretrained model can be used.
pred_noise = tf.random_normal(
shape=[batch_size, 100], stddev=hparams.pred_noise_std)
pre_pred += tf.layers.dense(
pred_noise,
initial_size,
kernel_initializer=tf.truncated_normal_initializer(
stddev=init_stddev),
name='noise_dense')
pre_pred = tf.nn.relu(pre_pred)
if lstm_states[pred_depth - 2] is None:
back_connect = tf.tile(
tf.get_variable(
'back_connect_init',
shape=[1, initial_size * 2],
initializer=tf.truncated_normal_initializer(stddev=init_stddev))
, (batch_size, 1))
else:
back_connect = lstm_states[pred_depth - 2]
lstm_init_stddev = 1e-4
part_pred, lstm_states[0] = common_video.lstm_cell(
tf.concat([pre_pred, back_connect], 1),
lstm_states[0],
initial_size,
use_peepholes=True,
initializer=tf.truncated_normal_initializer(stddev=lstm_init_stddev),
num_proj=initial_size)
part_pred = tf.contrib.layers.layer_norm(part_pred)
pred = part_pred
for pred_layer_num in range(1, pred_depth, 2):
part_pred, lstm_states[pred_layer_num] = common_video.lstm_cell(
pred,
lstm_states[pred_layer_num],
initial_size,
use_peepholes=True,
initializer=tf.truncated_normal_initializer(stddev=lstm_init_stddev),
num_proj=initial_size)
pred += part_pred
part_pred, lstm_states[pred_layer_num + 1] = common_video.lstm_cell(
tf.concat([pred, pre_pred], 1),
lstm_states[pred_layer_num + 1],
initial_size,
use_peepholes=True,
initializer=tf.truncated_normal_initializer(stddev=lstm_init_stddev),
num_proj=initial_size)
part_pred = tf.contrib.layers.layer_norm(part_pred)
pred += part_pred
pred = tf.layers.dense(
pred,
enc_final_size,
kernel_initializer=tf.truncated_normal_initializer(stddev=init_stddev))
if hparams.enc_pred_use_l2norm:
pred = tf.nn.l2_normalize(pred, 1)
return pred
|
python
|
def predictor(enc_flat,
action,
lstm_states,
pred_depth,
reuse=False,
scope_prefix='',
hparams=None):
"""LSTM predictor network."""
with tf.variable_scope(scope_prefix + 'predict', reuse=reuse):
enc_final_size = enc_flat.get_shape().as_list()[1]
action_size = action.get_shape().as_list()[1]
initial_size = (enc_final_size + action_size)
batch_size = tf.shape(enc_flat)[0]
init_stddev = 1e-2
pre_pred = tf.concat([enc_flat, action], 1)
pre_pred = tf.layers.dense(
pre_pred,
initial_size,
kernel_initializer=tf.truncated_normal_initializer(stddev=init_stddev))
# This is only needed or the GAN version.
if hparams.pred_noise_std > 0:
# Add the noise like this so a pretrained model can be used.
pred_noise = tf.random_normal(
shape=[batch_size, 100], stddev=hparams.pred_noise_std)
pre_pred += tf.layers.dense(
pred_noise,
initial_size,
kernel_initializer=tf.truncated_normal_initializer(
stddev=init_stddev),
name='noise_dense')
pre_pred = tf.nn.relu(pre_pred)
if lstm_states[pred_depth - 2] is None:
back_connect = tf.tile(
tf.get_variable(
'back_connect_init',
shape=[1, initial_size * 2],
initializer=tf.truncated_normal_initializer(stddev=init_stddev))
, (batch_size, 1))
else:
back_connect = lstm_states[pred_depth - 2]
lstm_init_stddev = 1e-4
part_pred, lstm_states[0] = common_video.lstm_cell(
tf.concat([pre_pred, back_connect], 1),
lstm_states[0],
initial_size,
use_peepholes=True,
initializer=tf.truncated_normal_initializer(stddev=lstm_init_stddev),
num_proj=initial_size)
part_pred = tf.contrib.layers.layer_norm(part_pred)
pred = part_pred
for pred_layer_num in range(1, pred_depth, 2):
part_pred, lstm_states[pred_layer_num] = common_video.lstm_cell(
pred,
lstm_states[pred_layer_num],
initial_size,
use_peepholes=True,
initializer=tf.truncated_normal_initializer(stddev=lstm_init_stddev),
num_proj=initial_size)
pred += part_pred
part_pred, lstm_states[pred_layer_num + 1] = common_video.lstm_cell(
tf.concat([pred, pre_pred], 1),
lstm_states[pred_layer_num + 1],
initial_size,
use_peepholes=True,
initializer=tf.truncated_normal_initializer(stddev=lstm_init_stddev),
num_proj=initial_size)
part_pred = tf.contrib.layers.layer_norm(part_pred)
pred += part_pred
pred = tf.layers.dense(
pred,
enc_final_size,
kernel_initializer=tf.truncated_normal_initializer(stddev=init_stddev))
if hparams.enc_pred_use_l2norm:
pred = tf.nn.l2_normalize(pred, 1)
return pred
|
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] |
LSTM predictor network.
|
[
"LSTM",
"predictor",
"network",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/epva.py#L404-L492
|
train
|
LSTM predictor network.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\x37' + chr(0b1010 + 0o54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11011 + 0o27) + '\x35' + chr(0b10100 + 0o37), 59607 - 59599), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1001000 + 0o47) + '\x32' + chr(0b0 + 0o65) + chr(713 - 665), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100100 + 0o17) + '\065' + chr(672 - 617), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(51) + chr(0b100111 + 0o16), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(55) + chr(2344 - 2290), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101001 + 0o11) + '\064' + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b110011) + chr(862 - 808), 13194 - 13186), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + chr(0b110001) + chr(0b110000) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + '\x31' + '\x32' + chr(0b100101 + 0o13), 28899 - 28891), ehT0Px3KOsy9(chr(948 - 900) + '\x6f' + chr(0b10 + 0o61) + '\x34', 58381 - 58373), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1100000 + 0o17) + chr(1088 - 1038) + '\067' + chr(0b10000 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + '\063' + chr(0b110101) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(58 - 7) + chr(0b110101) + chr(0b10100 + 0o41), 8), ehT0Px3KOsy9('\060' + chr(0b1010110 + 0o31) + chr(0b110001 + 0o0) + chr(48) + chr(1728 - 1675), 0b1000), ehT0Px3KOsy9(chr(239 - 191) + chr(0b1101111) + chr(0b101011 + 0o6) + chr(0b110010) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(907 - 796) + '\061' + chr(0b110101) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1205 - 1155) + '\x36' + chr(0b110010 + 0o5), 0b1000), ehT0Px3KOsy9(chr(1717 - 1669) + chr(10010 - 9899) + chr(1970 - 1920) + chr(857 - 806) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1842 - 1794) + chr(0b1101111) + chr(50) + chr(0b100100 + 0o22) + chr(48), 3466 - 3458), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(0b110011) + chr(1783 - 1730) + chr(0b1111 + 0o41), 0b1000), ehT0Px3KOsy9(chr(173 - 125) + chr(111) + chr(51) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b100011 + 0o15) + '\064', 53180 - 53172), ehT0Px3KOsy9(chr(876 - 828) + chr(0b1010001 + 0o36) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(0b1001100 + 0o43) + chr(0b110010) + chr(0b110000) + chr(1318 - 1267), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b101 + 0o152) + '\x32' + '\067' + chr(56 - 8), 46496 - 46488), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + '\067' + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000010 + 0o55) + '\062' + chr(0b110111) + '\061', 0o10), ehT0Px3KOsy9(chr(505 - 457) + '\x6f' + chr(0b100101 + 0o16) + chr(52) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(1922 - 1874) + chr(111) + chr(49) + chr(349 - 299) + chr(1265 - 1217), 8), ehT0Px3KOsy9(chr(48) + chr(0b1010000 + 0o37) + chr(251 - 200) + chr(842 - 788) + '\066', 9476 - 9468), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110001) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(592 - 481) + chr(0b1011 + 0o50) + chr(53) + '\067', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b110010) + chr(0b100011 + 0o16), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10001 + 0o42) + '\x34' + '\x36', 8), ehT0Px3KOsy9(chr(48) + chr(8376 - 8265) + chr(51) + chr(2126 - 2078) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(637 - 589) + chr(0b10001 + 0o136) + chr(0b110110) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(137 - 89) + chr(111) + '\x31' + chr(51) + chr(2287 - 2239), 54428 - 54420), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b11011 + 0o124) + '\061' + chr(0b10010 + 0o37) + chr(52), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + chr(0b10011 + 0o35), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x90'), '\144' + chr(0b10011 + 0o122) + chr(0b1100011) + chr(3441 - 3330) + chr(0b1000010 + 0o42) + '\x65')(chr(0b1110101) + chr(116) + '\x66' + chr(45) + chr(498 - 442)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def szdN6XyRrpA1(BodGbE8FZJLo, vyskHDXig6uT, ZC8xPYBCecD3, jYu4EH7mm1rQ, pmC5wdSFgdFj=ehT0Px3KOsy9(chr(48) + chr(9603 - 9492) + chr(0b110000), 8), qIzCQVoWrDTz=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1000100 + 0o40) + '\x65' + chr(0b1100011) + chr(0b101100 + 0o103) + '\144' + chr(0b1100101 + 0o0))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b101101) + '\070'), n4ljua2gi1Pr=None):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\xca\xda\x86\xfc\x9c\xca\xbb\x19#\x7f\xd3\x9d\x88'), chr(0b100100 + 0o100) + chr(3621 - 3520) + '\x63' + chr(0b1101111) + chr(0b1100100) + '\x65')('\165' + chr(3150 - 3034) + chr(10341 - 10239) + '\x2d' + '\x38'))(qIzCQVoWrDTz + xafqLlk3kkUe(SXOLrMavuUCe(b'\xce\xd9\xcd\x8b\xf4\x9d\xd2'), '\x64' + '\145' + chr(99) + chr(11240 - 11129) + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + chr(0b101101) + '\070'), reuse=pmC5wdSFgdFj):
nZHvZsywjqvt = BodGbE8FZJLo.get_shape().as_list()[ehT0Px3KOsy9(chr(1640 - 1592) + chr(0b1010111 + 0o30) + '\061', 48461 - 48453)]
uhiGsbKdrtP2 = vyskHDXig6uT.get_shape().as_list()[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 8)]
iUlb5BldOrSu = nZHvZsywjqvt + uhiGsbKdrtP2
ix9dZyeAmUxY = IDJ2eXGCBCDu.nauYfLglTpcb(BodGbE8FZJLo)[ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + chr(48), 8)]
q96ytcdicxCq = 0.01
SkGXhsbpR2th = IDJ2eXGCBCDu.concat([BodGbE8FZJLo, vyskHDXig6uT], ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + '\061', 8))
SkGXhsbpR2th = IDJ2eXGCBCDu.layers.dense(SkGXhsbpR2th, iUlb5BldOrSu, kernel_initializer=IDJ2eXGCBCDu.truncated_normal_initializer(stddev=q96ytcdicxCq))
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xce\xd9\xcd\x8b\xc2\x90\xc9\xb755C\xcf\x99\x89'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(101))('\x75' + '\164' + '\x66' + chr(0b100100 + 0o11) + '\070')) > ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 8):
yTBTLQBwU0ys = IDJ2eXGCBCDu.random_normal(shape=[ix9dZyeAmUxY, ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(10046 - 9935) + chr(0b110001) + chr(304 - 252) + '\064', 22369 - 22361)], stddev=n4ljua2gi1Pr.pred_noise_std)
SkGXhsbpR2th += IDJ2eXGCBCDu.layers.dense(yTBTLQBwU0ys, iUlb5BldOrSu, kernel_initializer=IDJ2eXGCBCDu.truncated_normal_initializer(stddev=q96ytcdicxCq), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\xc4\xc1\x9c\xf8\xa1\xc2\xbb(#y'), chr(7492 - 7392) + '\x65' + chr(0b1100011) + chr(6752 - 6641) + '\x64' + chr(6214 - 6113))(chr(117) + chr(7043 - 6927) + '\146' + chr(245 - 200) + chr(0b111000)))
SkGXhsbpR2th = IDJ2eXGCBCDu.nn.relu(SkGXhsbpR2th)
if ZC8xPYBCecD3[jYu4EH7mm1rQ - ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(0b110010), 0o10)] is None:
B6_r96ShsYW8 = IDJ2eXGCBCDu.tile(IDJ2eXGCBCDu.get_variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xca\xcb\x84\xc2\x9d\xc9\xb0(5\x7f\xc8\xb2\x84+:\x1c'), '\x64' + chr(7104 - 7003) + chr(99) + chr(0b1001000 + 0o47) + '\144' + chr(101))(chr(0b1110101) + '\164' + chr(5624 - 5522) + chr(45) + chr(0b101011 + 0o15)), shape=[ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49), 8), iUlb5BldOrSu * ehT0Px3KOsy9(chr(1211 - 1163) + '\157' + chr(384 - 334), 8)], initializer=IDJ2eXGCBCDu.truncated_normal_initializer(stddev=q96ytcdicxCq)), (ix9dZyeAmUxY, ehT0Px3KOsy9(chr(1559 - 1511) + chr(482 - 371) + chr(1204 - 1155), 8)))
else:
B6_r96ShsYW8 = ZC8xPYBCecD3[jYu4EH7mm1rQ - ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b100 + 0o153) + chr(0b110010), 8)]
So6LeBv6_qhk = 0.0001
(niXzTs7SPp8E, ZC8xPYBCecD3[ehT0Px3KOsy9(chr(1658 - 1610) + chr(0b1101111) + chr(0b110000), 8)]) = feDooRjkbHzt.lstm_cell(IDJ2eXGCBCDu.concat([SkGXhsbpR2th, B6_r96ShsYW8], ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 8)), ZC8xPYBCecD3[ehT0Px3KOsy9('\060' + chr(11155 - 11044) + '\x30', 8)], iUlb5BldOrSu, use_peepholes=ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + '\x31', 8), initializer=IDJ2eXGCBCDu.truncated_normal_initializer(stddev=So6LeBv6_qhk), num_proj=iUlb5BldOrSu)
niXzTs7SPp8E = IDJ2eXGCBCDu.contrib.layers.layer_norm(niXzTs7SPp8E)
eyamnrN0elUS = niXzTs7SPp8E
for rtYPuhY7toel in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + '\061', 8), jYu4EH7mm1rQ, ehT0Px3KOsy9('\060' + chr(1264 - 1153) + chr(50), 8)):
(niXzTs7SPp8E, ZC8xPYBCecD3[rtYPuhY7toel]) = feDooRjkbHzt.lstm_cell(eyamnrN0elUS, ZC8xPYBCecD3[rtYPuhY7toel], iUlb5BldOrSu, use_peepholes=ehT0Px3KOsy9(chr(0b110000) + chr(266 - 155) + chr(49), 8), initializer=IDJ2eXGCBCDu.truncated_normal_initializer(stddev=So6LeBv6_qhk), num_proj=iUlb5BldOrSu)
eyamnrN0elUS += niXzTs7SPp8E
(niXzTs7SPp8E, ZC8xPYBCecD3[rtYPuhY7toel + ehT0Px3KOsy9('\x30' + '\157' + chr(2031 - 1982), 8)]) = feDooRjkbHzt.lstm_cell(IDJ2eXGCBCDu.concat([eyamnrN0elUS, SkGXhsbpR2th], ehT0Px3KOsy9(chr(0b110000) + chr(0b10011 + 0o134) + '\061', 8)), ZC8xPYBCecD3[rtYPuhY7toel + ehT0Px3KOsy9('\x30' + chr(111) + chr(49), 8)], iUlb5BldOrSu, use_peepholes=ehT0Px3KOsy9(chr(1998 - 1950) + '\x6f' + chr(788 - 739), 8), initializer=IDJ2eXGCBCDu.truncated_normal_initializer(stddev=So6LeBv6_qhk), num_proj=iUlb5BldOrSu)
niXzTs7SPp8E = IDJ2eXGCBCDu.contrib.layers.layer_norm(niXzTs7SPp8E)
eyamnrN0elUS += niXzTs7SPp8E
eyamnrN0elUS = IDJ2eXGCBCDu.layers.dense(eyamnrN0elUS, nZHvZsywjqvt, kernel_initializer=IDJ2eXGCBCDu.truncated_normal_initializer(stddev=q96ytcdicxCq))
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\xc5\xcb\xb0\xed\x8c\xc3\xba\x19%o\xd9\xb2\x81w=\x07\xc5\xf7'), chr(0b1100100) + chr(0b1011110 + 0o7) + '\143' + chr(111) + '\144' + chr(0b111001 + 0o54))('\x75' + chr(0b1110100) + chr(0b100010 + 0o104) + chr(0b101101) + chr(1514 - 1458))):
eyamnrN0elUS = IDJ2eXGCBCDu.nn.l2_normalize(eyamnrN0elUS, ehT0Px3KOsy9(chr(1247 - 1199) + '\157' + chr(0b110001), 8))
return eyamnrN0elUS
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/epva.py
|
construct_model
|
def construct_model(images,
actions=None,
context_frames=2,
hparams=None,
is_training=True):
"""Constructs the tensorflow graph of the hierarchical model."""
pred_depth = 20
enc_out_all, pred_out_all, van_out_all, van_on_enc_all = [], [], [], []
lstm_states = [None] * (pred_depth + 2)
enc_out = encoder_vgg(
images[0], hparams.enc_size, False, scope_prefix='timestep/',
hparams=hparams, is_training=is_training)
enc_out = tf.identity(enc_out, 'enc_out')
enc_out_all.append(enc_out)
num_timesteps = len(actions) - 1
sum_freq = int(num_timesteps / 4 + 1)
reuse = False
for timestep, action in zip(range(len(actions) - 1), actions[:-1]):
done_warm_start = timestep > context_frames - 1
with tf.variable_scope('timestep', reuse=reuse):
if done_warm_start:
pred_input = pred_out_all[-1]
else:
pred_input = enc_out_all[-1]
pred_out = predictor(
pred_input, action, lstm_states, pred_depth, False, hparams=hparams)
pred_out = tf.identity(pred_out, 'pred_out')
if timestep % sum_freq == 0: # and not hparams.use_tpu:
tf.summary.histogram('pred_out', pred_out)
pred_out_all.append(pred_out)
if timestep % sum_freq == 0: # and not hparams.use_tpu:
tf.summary.histogram('lstm_state', lstm_states[0])
van_out, _, _ = van(
enc_out_all[0],
images[0],
pred_out,
images[timestep + 1],
tf.AUTO_REUSE,
hparams=hparams)
van_out = tf.identity(van_out, 'van_out')
van_out_all.append(van_out)
enc_out = encoder_vgg(
images[timestep + 1], hparams.enc_size, True, hparams=hparams,
is_training=is_training)
enc_out = tf.identity(enc_out, 'enc_out')
if timestep % sum_freq == 0: # and not hparams.use_tpu:
tf.summary.histogram('enc_out', enc_out)
enc_out_all.append(enc_out)
van_input = images[0]
enc_noise = tf.zeros_like(enc_out)
if timestep % sum_freq == 0: # and not hparams.use_tpu:
tf.summary.histogram('enc_noise', enc_noise)
van_on_enc, _, _ = van(
enc_out_all[0],
van_input,
enc_out + enc_noise,
images[timestep + 1],
tf.AUTO_REUSE,
hparams=hparams)
van_on_enc = tf.identity(van_on_enc, 'van_on_enc')
van_on_enc_all.append(van_on_enc)
reuse = True
return enc_out_all, pred_out_all, van_out_all, van_on_enc_all
|
python
|
def construct_model(images,
actions=None,
context_frames=2,
hparams=None,
is_training=True):
"""Constructs the tensorflow graph of the hierarchical model."""
pred_depth = 20
enc_out_all, pred_out_all, van_out_all, van_on_enc_all = [], [], [], []
lstm_states = [None] * (pred_depth + 2)
enc_out = encoder_vgg(
images[0], hparams.enc_size, False, scope_prefix='timestep/',
hparams=hparams, is_training=is_training)
enc_out = tf.identity(enc_out, 'enc_out')
enc_out_all.append(enc_out)
num_timesteps = len(actions) - 1
sum_freq = int(num_timesteps / 4 + 1)
reuse = False
for timestep, action in zip(range(len(actions) - 1), actions[:-1]):
done_warm_start = timestep > context_frames - 1
with tf.variable_scope('timestep', reuse=reuse):
if done_warm_start:
pred_input = pred_out_all[-1]
else:
pred_input = enc_out_all[-1]
pred_out = predictor(
pred_input, action, lstm_states, pred_depth, False, hparams=hparams)
pred_out = tf.identity(pred_out, 'pred_out')
if timestep % sum_freq == 0: # and not hparams.use_tpu:
tf.summary.histogram('pred_out', pred_out)
pred_out_all.append(pred_out)
if timestep % sum_freq == 0: # and not hparams.use_tpu:
tf.summary.histogram('lstm_state', lstm_states[0])
van_out, _, _ = van(
enc_out_all[0],
images[0],
pred_out,
images[timestep + 1],
tf.AUTO_REUSE,
hparams=hparams)
van_out = tf.identity(van_out, 'van_out')
van_out_all.append(van_out)
enc_out = encoder_vgg(
images[timestep + 1], hparams.enc_size, True, hparams=hparams,
is_training=is_training)
enc_out = tf.identity(enc_out, 'enc_out')
if timestep % sum_freq == 0: # and not hparams.use_tpu:
tf.summary.histogram('enc_out', enc_out)
enc_out_all.append(enc_out)
van_input = images[0]
enc_noise = tf.zeros_like(enc_out)
if timestep % sum_freq == 0: # and not hparams.use_tpu:
tf.summary.histogram('enc_noise', enc_noise)
van_on_enc, _, _ = van(
enc_out_all[0],
van_input,
enc_out + enc_noise,
images[timestep + 1],
tf.AUTO_REUSE,
hparams=hparams)
van_on_enc = tf.identity(van_on_enc, 'van_on_enc')
van_on_enc_all.append(van_on_enc)
reuse = True
return enc_out_all, pred_out_all, van_out_all, van_on_enc_all
|
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] |
Constructs the tensorflow graph of the hierarchical model.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/epva.py#L495-L569
|
train
|
Constructs the tensorflow graph of the hierarchical model.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(1005 - 956), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(49) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b11011 + 0o25) + chr(0b110000), 55168 - 55160), ehT0Px3KOsy9(chr(353 - 305) + chr(0b1101111) + '\062' + chr(2488 - 2433) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + '\063' + '\062' + chr(53), 48545 - 48537), ehT0Px3KOsy9(chr(1480 - 1432) + chr(111) + '\063' + chr(0b11001 + 0o30) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(8833 - 8722) + chr(0b110001) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1302 - 1254) + chr(0b1101111) + chr(0b101011 + 0o6) + chr(0b101101 + 0o11) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(1845 - 1794) + chr(883 - 835), 0o10), ehT0Px3KOsy9(chr(853 - 805) + chr(6567 - 6456) + '\061' + chr(0b10 + 0o56) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(939 - 891) + chr(752 - 641) + chr(985 - 932) + chr(0b1001 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(8517 - 8406) + chr(1804 - 1753) + chr(0b110101) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110000 + 0o1) + chr(1027 - 978) + chr(2762 - 2708), 0b1000), ehT0Px3KOsy9('\060' + chr(8594 - 8483) + '\x32' + '\x35' + chr(0b1011 + 0o47), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111 + 0o150) + '\063' + chr(2004 - 1956), 50499 - 50491), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1746 - 1693) + chr(0b1001 + 0o52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11010 + 0o27) + chr(0b100010 + 0o16) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(2094 - 2046) + '\157' + chr(0b11110 + 0o23) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + '\062' + '\065' + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(54) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(969 - 914) + chr(52), 35547 - 35539), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(2036 - 1987) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + chr(2072 - 2021) + '\x33' + chr(0b100000 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\062' + chr(0b0 + 0o67), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(843 - 793) + chr(162 - 112) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7404 - 7293) + '\x32' + chr(0b110111 + 0o0) + '\067', 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(55) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1671 - 1623) + chr(0b111111 + 0o60) + chr(0b110001 + 0o0) + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + chr(7192 - 7081) + '\061' + '\x31' + chr(0b100110 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110111 + 0o70) + chr(0b110011) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49), 34948 - 34940), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(957 - 904), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(11246 - 11135) + '\x32' + '\060' + chr(0b110011 + 0o4), 22180 - 22172), ehT0Px3KOsy9('\x30' + chr(8110 - 7999) + '\x36' + chr(0b100001 + 0o21), 58290 - 58282), ehT0Px3KOsy9('\x30' + chr(4985 - 4874) + chr(0b110010) + chr(0b110100) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11 + 0o60) + chr(455 - 402) + chr(1923 - 1872), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11100 + 0o30) + chr(838 - 784), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(651 - 600) + '\067', 0b1000), ehT0Px3KOsy9(chr(382 - 334) + chr(0b1101111) + chr(51) + chr(0b110101), 8), ehT0Px3KOsy9('\x30' + chr(8720 - 8609) + chr(0b110001) + chr(53), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b110000 + 0o77) + chr(53) + chr(221 - 173), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'7'), chr(100) + chr(0b1010010 + 0o23) + chr(0b1100011) + chr(111) + chr(0b1000001 + 0o43) + '\145')('\x75' + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ii3c229LZtnw(YJOmEcibG8C0, WCl6VUkME_8I=None, VsDnLVITZVNd=ehT0Px3KOsy9('\x30' + '\157' + chr(50), 0o10), n4ljua2gi1Pr=None, XQJVi3cQFN5l=ehT0Px3KOsy9(chr(0b110000) + chr(6980 - 6869) + chr(0b110001), 8)):
jYu4EH7mm1rQ = ehT0Px3KOsy9(chr(1289 - 1241) + chr(4014 - 3903) + chr(0b110001 + 0o1) + chr(863 - 811), 0b1000)
(rVPvrNS3D_w0, LZ3prOV1grCI, RBDJgXsAl2pU, RXu5sNbkxfdM) = ([], [], [], [])
ZC8xPYBCecD3 = [None] * (jYu4EH7mm1rQ + ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001 + 0o1), 8))
cmHAeVtMBYdV = mzfspRDq2mO5(YJOmEcibG8C0[ehT0Px3KOsy9('\060' + chr(111) + chr(1231 - 1183), 0o10)], n4ljua2gi1Pr.enc_size, ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), 8), scope_prefix=xafqLlk3kkUe(SXOLrMavuUCe(b'm!\xad\xda\xa6\xbfm\x07w'), chr(0b1000011 + 0o41) + '\x65' + chr(0b10010 + 0o121) + chr(11045 - 10934) + chr(1038 - 938) + chr(0b1100101))(chr(3670 - 3553) + chr(9835 - 9719) + '\146' + chr(0b101 + 0o50) + chr(0b10101 + 0o43)), hparams=n4ljua2gi1Pr, is_training=XQJVi3cQFN5l)
cmHAeVtMBYdV = IDJ2eXGCBCDu.vFUG5mKXcvYG(cmHAeVtMBYdV, xafqLlk3kkUe(SXOLrMavuUCe(b'|&\xa3\xe0\xba\xbe|'), '\144' + chr(2984 - 2883) + '\x63' + chr(0b11100 + 0o123) + chr(0b1100100) + '\145')(chr(0b100101 + 0o120) + '\164' + '\x66' + chr(1508 - 1463) + '\x38'))
xafqLlk3kkUe(rVPvrNS3D_w0, xafqLlk3kkUe(SXOLrMavuUCe(b'x8\xb0\xda\xbb\xaf'), chr(0b1100100) + chr(101) + chr(99) + chr(0b11100 + 0o123) + chr(0b1100100) + '\x65')(chr(0b1010001 + 0o44) + '\x74' + chr(0b1100110) + chr(0b10001 + 0o34) + '\x38'))(cmHAeVtMBYdV)
Vh9spPt2FTTv = c2A0yzQpDQB3(WCl6VUkME_8I) - ehT0Px3KOsy9('\x30' + chr(0b11 + 0o154) + chr(0b101100 + 0o5), 8)
Wywbia33EvOc = ehT0Px3KOsy9(Vh9spPt2FTTv / ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + '\x34', ord("\x08")) + ehT0Px3KOsy9(chr(1748 - 1700) + chr(3745 - 3634) + '\061', 8))
pmC5wdSFgdFj = ehT0Px3KOsy9('\x30' + '\157' + '\060', 8)
for (Z8vqoCLJ58in, vyskHDXig6uT) in pZ0NK2y6HRbn(vQr8gNKaIaWE(c2A0yzQpDQB3(WCl6VUkME_8I) - ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(6817 - 6706) + chr(708 - 659), 8)), WCl6VUkME_8I[:-ehT0Px3KOsy9('\x30' + '\157' + chr(0b100111 + 0o12), 8)]):
ewEdQEejetmW = Z8vqoCLJ58in > VsDnLVITZVNd - ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061', 8)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'o)\xb2\xd6\xb4\xa9d\x12\x076K\x84>\xcf'), chr(0b1010010 + 0o22) + chr(389 - 288) + chr(5393 - 5294) + chr(0b1011110 + 0o21) + '\x64' + chr(0b1100101))(chr(9939 - 9822) + '\x74' + chr(102) + '\055' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'm!\xad\xda\xa6\xbfm\x07'), chr(0b1000101 + 0o37) + '\x65' + chr(8876 - 8777) + chr(0b1011101 + 0o22) + chr(0b1100100) + chr(0b11001 + 0o114))(chr(117) + '\x74' + '\x66' + chr(45) + '\070'), reuse=pmC5wdSFgdFj):
if ewEdQEejetmW:
HGDYBecTwX2I = LZ3prOV1grCI[-ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + '\x31', 8)]
else:
HGDYBecTwX2I = rVPvrNS3D_w0[-ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', 8)]
Cqo4e8wQbYYO = szdN6XyRrpA1(HGDYBecTwX2I, vyskHDXig6uT, ZC8xPYBCecD3, jYu4EH7mm1rQ, ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(2896 - 2785) + '\x30', 8), hparams=n4ljua2gi1Pr)
Cqo4e8wQbYYO = IDJ2eXGCBCDu.vFUG5mKXcvYG(Cqo4e8wQbYYO, xafqLlk3kkUe(SXOLrMavuUCe(b'i:\xa5\xdb\x8a\xa4}\x03'), chr(0b1100100) + chr(0b1000 + 0o135) + '\x63' + '\157' + '\144' + chr(0b11100 + 0o111))('\165' + chr(0b1101111 + 0o5) + chr(0b101100 + 0o72) + chr(45) + chr(1927 - 1871)))
if Z8vqoCLJ58in % Wywbia33EvOc == ehT0Px3KOsy9(chr(2251 - 2203) + '\x6f' + chr(48), 8):
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'F\x0c\xf4\xe5\xa2\xf2j\x03\r\x11]\xba'), '\144' + '\x65' + '\x63' + chr(4162 - 4051) + '\144' + chr(2230 - 2129))(chr(117) + '\x74' + '\x66' + chr(1346 - 1301) + chr(0b101100 + 0o14)))(xafqLlk3kkUe(SXOLrMavuUCe(b'i:\xa5\xdb\x8a\xa4}\x03'), chr(0b110 + 0o136) + chr(0b1101 + 0o130) + chr(6753 - 6654) + chr(111) + '\x64' + chr(9430 - 9329))(chr(0b1000010 + 0o63) + '\x74' + chr(0b1100110) + chr(1022 - 977) + chr(0b111000)), Cqo4e8wQbYYO)
xafqLlk3kkUe(LZ3prOV1grCI, xafqLlk3kkUe(SXOLrMavuUCe(b'x8\xb0\xda\xbb\xaf'), '\x64' + '\145' + '\x63' + '\x6f' + chr(0b101 + 0o137) + chr(0b1100101))('\x75' + '\x74' + chr(102) + '\055' + chr(464 - 408)))(Cqo4e8wQbYYO)
if Z8vqoCLJ58in % Wywbia33EvOc == ehT0Px3KOsy9(chr(48) + '\157' + chr(48), 8):
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'F\x0c\xf4\xe5\xa2\xf2j\x03\r\x11]\xba'), chr(5921 - 5821) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1010111 + 0o16))('\x75' + '\164' + chr(102) + chr(45) + chr(0b101110 + 0o12)))(xafqLlk3kkUe(SXOLrMavuUCe(b'u;\xb4\xd2\x8a\xb8|\x16, '), chr(9462 - 9362) + '\145' + chr(99) + chr(0b1101111) + '\x64' + chr(3131 - 3030))(chr(6292 - 6175) + '\x74' + '\x66' + chr(45) + chr(0b1011 + 0o55)), ZC8xPYBCecD3[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100000 + 0o20), 8)])
(KLFuNl3na3KL, VNGQdHSFPrso, VNGQdHSFPrso) = YRCsIBwGvLWt(rVPvrNS3D_w0[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 8)], YJOmEcibG8C0[ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + chr(1369 - 1321), 8)], Cqo4e8wQbYYO, YJOmEcibG8C0[Z8vqoCLJ58in + ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 8)], IDJ2eXGCBCDu.AUTO_REUSE, hparams=n4ljua2gi1Pr)
KLFuNl3na3KL = IDJ2eXGCBCDu.vFUG5mKXcvYG(KLFuNl3na3KL, xafqLlk3kkUe(SXOLrMavuUCe(b'o)\xae\xe0\xba\xbe|'), chr(0b110001 + 0o63) + chr(101) + chr(8581 - 8482) + chr(0b1101111) + chr(0b110001 + 0o63) + chr(101))(chr(11297 - 11180) + chr(0b1001101 + 0o47) + chr(0b1001010 + 0o34) + chr(45) + '\070'))
xafqLlk3kkUe(RBDJgXsAl2pU, xafqLlk3kkUe(SXOLrMavuUCe(b'x8\xb0\xda\xbb\xaf'), chr(0b1100100) + chr(673 - 572) + chr(0b1100011) + chr(2963 - 2852) + chr(100) + chr(0b11111 + 0o106))(chr(117) + chr(0b1110100) + chr(5174 - 5072) + chr(0b11001 + 0o24) + chr(0b111000)))(KLFuNl3na3KL)
cmHAeVtMBYdV = mzfspRDq2mO5(YJOmEcibG8C0[Z8vqoCLJ58in + ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061', 8)], n4ljua2gi1Pr.enc_size, ehT0Px3KOsy9('\x30' + '\157' + chr(0b100 + 0o55), 8), hparams=n4ljua2gi1Pr, is_training=XQJVi3cQFN5l)
cmHAeVtMBYdV = IDJ2eXGCBCDu.vFUG5mKXcvYG(cmHAeVtMBYdV, xafqLlk3kkUe(SXOLrMavuUCe(b'|&\xa3\xe0\xba\xbe|'), chr(0b1010000 + 0o24) + chr(0b1100101) + chr(0b100110 + 0o75) + chr(2962 - 2851) + chr(0b110001 + 0o63) + '\145')('\x75' + chr(116) + chr(3954 - 3852) + '\055' + chr(0b1001 + 0o57)))
if Z8vqoCLJ58in % Wywbia33EvOc == ehT0Px3KOsy9('\060' + chr(0b1101001 + 0o6) + chr(0b110000), 8):
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'F\x0c\xf4\xe5\xa2\xf2j\x03\r\x11]\xba'), chr(0b101010 + 0o72) + '\x65' + '\143' + chr(0b100101 + 0o112) + chr(100) + chr(101))('\x75' + chr(0b1110100) + chr(0b111000 + 0o56) + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'|&\xa3\xe0\xba\xbe|'), chr(0b100000 + 0o104) + '\x65' + chr(1760 - 1661) + '\157' + chr(100) + chr(0b1100101))('\x75' + chr(116) + chr(0b100110 + 0o100) + '\x2d' + chr(0b111000)), cmHAeVtMBYdV)
xafqLlk3kkUe(rVPvrNS3D_w0, xafqLlk3kkUe(SXOLrMavuUCe(b'x8\xb0\xda\xbb\xaf'), '\144' + chr(3937 - 3836) + '\143' + chr(2055 - 1944) + chr(0b1100100) + '\x65')('\x75' + chr(0b1110100) + chr(102) + '\x2d' + chr(56)))(cmHAeVtMBYdV)
nFVVKAiu4dze = YJOmEcibG8C0[ehT0Px3KOsy9('\060' + chr(10332 - 10221) + chr(0b101001 + 0o7), 8)]
sJlUkyzTZQL0 = IDJ2eXGCBCDu.zeros_like(cmHAeVtMBYdV)
if Z8vqoCLJ58in % Wywbia33EvOc == ehT0Px3KOsy9('\x30' + chr(4599 - 4488) + chr(0b100110 + 0o12), 8):
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'F\x0c\xf4\xe5\xa2\xf2j\x03\r\x11]\xba'), chr(7754 - 7654) + '\x65' + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')('\165' + chr(116) + '\x66' + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'|&\xa3\xe0\xbb\xa4a\x04='), '\144' + '\145' + chr(0b1001010 + 0o31) + chr(111) + chr(0b1011110 + 0o6) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1011 + 0o133) + '\055' + chr(1650 - 1594)), sJlUkyzTZQL0)
(i_PU3EdeLQDE, VNGQdHSFPrso, VNGQdHSFPrso) = YRCsIBwGvLWt(rVPvrNS3D_w0[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x30', 8)], nFVVKAiu4dze, cmHAeVtMBYdV + sJlUkyzTZQL0, YJOmEcibG8C0[Z8vqoCLJ58in + ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(7234 - 7123) + chr(0b10011 + 0o36), 8)], IDJ2eXGCBCDu.AUTO_REUSE, hparams=n4ljua2gi1Pr)
i_PU3EdeLQDE = IDJ2eXGCBCDu.vFUG5mKXcvYG(i_PU3EdeLQDE, xafqLlk3kkUe(SXOLrMavuUCe(b'o)\xae\xe0\xba\xa5W\x126&'), '\144' + chr(101) + '\x63' + chr(0b1101111) + chr(0b1100100) + '\x65')('\x75' + chr(116) + '\x66' + chr(45) + '\x38'))
xafqLlk3kkUe(RXu5sNbkxfdM, xafqLlk3kkUe(SXOLrMavuUCe(b'x8\xb0\xda\xbb\xaf'), chr(0b100101 + 0o77) + chr(0b10000 + 0o125) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + '\x2d' + '\070'))(i_PU3EdeLQDE)
pmC5wdSFgdFj = ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(49), 8)
return (rVPvrNS3D_w0, LZ3prOV1grCI, RBDJgXsAl2pU, RXu5sNbkxfdM)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/epva.py
|
peak_signal_to_noise_ratio
|
def peak_signal_to_noise_ratio(true, pred):
"""Image quality metric based on maximal signal power vs. power of the noise.
Args:
true: the ground truth image.
pred: the predicted image.
Returns:
peak signal to noise ratio (PSNR)
"""
return 10.0 * tf.log(1.0 / mean_squared_error(true, pred)) / tf.log(10.0)
|
python
|
def peak_signal_to_noise_ratio(true, pred):
"""Image quality metric based on maximal signal power vs. power of the noise.
Args:
true: the ground truth image.
pred: the predicted image.
Returns:
peak signal to noise ratio (PSNR)
"""
return 10.0 * tf.log(1.0 / mean_squared_error(true, pred)) / tf.log(10.0)
|
[
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"true",
",",
"pred",
")",
")",
"/",
"tf",
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"(",
"10.0",
")"
] |
Image quality metric based on maximal signal power vs. power of the noise.
Args:
true: the ground truth image.
pred: the predicted image.
Returns:
peak signal to noise ratio (PSNR)
|
[
"Image",
"quality",
"metric",
"based",
"on",
"maximal",
"signal",
"power",
"vs",
".",
"power",
"of",
"the",
"noise",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/epva.py#L572-L581
|
train
|
Image quality metric based on maximal signal power vs. power of the noise.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(8058 - 7947) + chr(49) + chr(0b10000 + 0o42) + chr(1196 - 1143), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1463 - 1414) + chr(0b110010) + '\x31', 0o10), ehT0Px3KOsy9(chr(1931 - 1883) + '\157' + chr(0b110100) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5957 - 5846) + '\063' + '\062' + chr(0b110001), 16312 - 16304), ehT0Px3KOsy9(chr(48) + chr(0b110110 + 0o71) + chr(0b11111 + 0o24) + '\x35', 19446 - 19438), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b100 + 0o153) + chr(53) + chr(0b10011 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(2057 - 2008) + chr(2214 - 2164) + chr(0b101 + 0o54), 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(10535 - 10424) + '\067' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(52) + chr(533 - 480), 62094 - 62086), ehT0Px3KOsy9(chr(1829 - 1781) + chr(0b1010000 + 0o37) + '\x33' + chr(0b101111 + 0o5) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(4291 - 4180) + '\x31' + chr(0b110001) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1759 - 1710) + chr(0b1101 + 0o44) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + chr(1851 - 1802) + '\x36' + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2193 - 2143) + '\063' + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110111) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(458 - 407) + chr(0b110101) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1110 + 0o43) + chr(0b110000) + '\x32', 0o10), ehT0Px3KOsy9(chr(1013 - 965) + chr(9539 - 9428) + '\x33' + chr(0b101110 + 0o7) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(1114 - 1066) + chr(0b110000 + 0o77) + chr(0b110011) + chr(0b110110) + chr(0b101101 + 0o6), 48214 - 48206), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(49) + chr(51), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001001 + 0o46) + '\x32' + '\x33' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(0b11 + 0o56) + chr(51) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100111 + 0o14) + '\067' + '\060', 17173 - 17165), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1894 - 1844) + '\066' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\065' + chr(1603 - 1549), 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1100010 + 0o15) + '\061' + chr(0b1000 + 0o53) + chr(0b100010 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b110100 + 0o2), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100000 + 0o21) + chr(48) + chr(0b101110 + 0o4), 8), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(0b110010) + '\x30' + chr(54), 0o10), ehT0Px3KOsy9(chr(1050 - 1002) + chr(111) + chr(850 - 800) + chr(368 - 313) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(357 - 308), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(624 - 576) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(939 - 891) + '\157' + chr(1885 - 1836) + chr(2289 - 2237) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b110100) + chr(53), 8), ehT0Px3KOsy9(chr(217 - 169) + chr(111) + '\063' + chr(1219 - 1168) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10010 + 0o135) + chr(0b10111 + 0o32) + chr(1865 - 1810) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b10100 + 0o36) + chr(905 - 855), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(55) + '\067', 11498 - 11490), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000101 + 0o52) + chr(0b10101 + 0o36) + chr(782 - 728) + '\x35', 7186 - 7178)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10011 + 0o42) + chr(602 - 554), 48564 - 48556)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'{'), chr(0b1100100) + '\145' + '\x63' + chr(0b101000 + 0o107) + '\144' + chr(101))('\x75' + chr(116) + chr(0b1100110) + '\x2d' + chr(0b1100 + 0o54)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wFPFCu77z33a(pZjlIgUeCnXc, eyamnrN0elUS):
return 10.0 * xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'9>A'), '\144' + chr(0b1100101) + chr(4107 - 4008) + chr(8153 - 8042) + chr(0b1100100) + chr(0b10001 + 0o124))(chr(0b1010100 + 0o41) + chr(0b110101 + 0o77) + chr(102) + chr(45) + chr(56)))(1.0 / QI0DRtLZX2bE(pZjlIgUeCnXc, eyamnrN0elUS)) / xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'9>A'), '\144' + '\x65' + '\x63' + chr(3640 - 3529) + chr(4096 - 3996) + chr(0b1100101))(chr(9502 - 9385) + '\x74' + chr(102) + chr(0b101101) + '\x38'))(10.0)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/epva.py
|
mean_squared_error
|
def mean_squared_error(true, pred):
"""L2 distance between tensors true and pred.
Args:
true: the ground truth image.
pred: the predicted image.
Returns:
mean squared error between ground truth and predicted image.
"""
result = tf.reduce_sum(
tf.squared_difference(true, pred)) / tf.to_float(tf.size(pred))
return result
|
python
|
def mean_squared_error(true, pred):
"""L2 distance between tensors true and pred.
Args:
true: the ground truth image.
pred: the predicted image.
Returns:
mean squared error between ground truth and predicted image.
"""
result = tf.reduce_sum(
tf.squared_difference(true, pred)) / tf.to_float(tf.size(pred))
return result
|
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"to_float",
"(",
"tf",
".",
"size",
"(",
"pred",
")",
")",
"return",
"result"
] |
L2 distance between tensors true and pred.
Args:
true: the ground truth image.
pred: the predicted image.
Returns:
mean squared error between ground truth and predicted image.
|
[
"L2",
"distance",
"between",
"tensors",
"true",
"and",
"pred",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/epva.py#L584-L595
|
train
|
L2 distance between tensors true and pred.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(0b110010) + chr(180 - 130) + '\062', 0o10), ehT0Px3KOsy9(chr(372 - 324) + chr(0b1101111) + '\x32' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + chr(0b110001) + chr(53) + '\063', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101010 + 0o13) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11111 + 0o22) + chr(53) + chr(0b10111 + 0o31), 0b1000), ehT0Px3KOsy9(chr(671 - 623) + '\x6f' + chr(0b110011) + chr(0b110101) + chr(53), 0o10), ehT0Px3KOsy9(chr(76 - 28) + '\x6f' + chr(51) + '\063' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(70 - 22) + chr(0b1101111) + '\061' + chr(0b110010) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x31' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b111 + 0o54) + chr(70 - 16) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10010 + 0o135) + chr(0b11011 + 0o26) + '\062' + chr(0b11110 + 0o31), 0b1000), ehT0Px3KOsy9(chr(1771 - 1723) + chr(7170 - 7059) + chr(1186 - 1137) + '\065' + chr(0b110000), 8), ehT0Px3KOsy9('\060' + '\157' + chr(54) + chr(55), 64589 - 64581), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(51) + '\066' + '\064', 15559 - 15551), ehT0Px3KOsy9('\060' + chr(2603 - 2492) + chr(0b100111 + 0o14) + chr(2485 - 2431) + '\x31', 52550 - 52542), ehT0Px3KOsy9('\060' + '\x6f' + chr(2174 - 2123) + '\060' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101000 + 0o14) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(2485 - 2433) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100101 + 0o14) + chr(51) + '\x33', 39271 - 39263), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101 + 0o60) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001101 + 0o42) + chr(0b100001 + 0o21) + chr(53) + chr(0b110100), 58487 - 58479), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b1101 + 0o46) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1889 - 1841) + chr(0b1101111) + chr(513 - 461) + '\064', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + '\x33' + chr(0b101111 + 0o3) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10111 + 0o40) + '\061', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\x36' + '\062', 47778 - 47770), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(0b11100 + 0o25) + '\063' + chr(0b11000 + 0o33), 8), ehT0Px3KOsy9(chr(48) + chr(0b10100 + 0o133) + chr(50) + chr(0b1 + 0o62) + chr(2392 - 2339), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + '\063' + chr(0b1100 + 0o51) + chr(1327 - 1275), 63497 - 63489), ehT0Px3KOsy9(chr(0b110000) + chr(4036 - 3925) + chr(0b110010) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11079 - 10968) + chr(1536 - 1486) + chr(828 - 774) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(563 - 515) + '\x6f' + chr(884 - 835) + chr(0b110110) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1727 - 1678) + '\061' + '\062', 27749 - 27741), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1011 + 0o47) + '\x30' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11101 + 0o30) + chr(443 - 389), 51555 - 51547), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(55) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5489 - 5378) + chr(50) + chr(0b101100 + 0o4) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(2297 - 2249) + chr(11824 - 11713) + chr(0b101011 + 0o10) + chr(1408 - 1358) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + '\063' + chr(0b10111 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(507 - 459) + '\157' + '\064' + '\066', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + 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'\xbc'), chr(5070 - 4970) + '\145' + '\143' + '\157' + chr(3058 - 2958) + chr(8448 - 8347))(chr(0b1110101 + 0o0) + chr(0b1110100) + chr(0b1100110) + chr(0b100000 + 0o15) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def QI0DRtLZX2bE(pZjlIgUeCnXc, eyamnrN0elUS):
ShZmEKfTkAOZ = IDJ2eXGCBCDu.reduce_sum(IDJ2eXGCBCDu.squared_difference(pZjlIgUeCnXc, eyamnrN0elUS)) / IDJ2eXGCBCDu.ZUL3kHBGU8Uu(IDJ2eXGCBCDu.NLcc3BCJnQka(eyamnrN0elUS))
return ShZmEKfTkAOZ
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/epva.py
|
l1_error
|
def l1_error(true, pred):
"""L1 distance between tensors true and pred."""
return tf.reduce_sum(tf.abs(true - pred)) / tf.to_float(tf.size(pred))
|
python
|
def l1_error(true, pred):
"""L1 distance between tensors true and pred."""
return tf.reduce_sum(tf.abs(true - pred)) / tf.to_float(tf.size(pred))
|
[
"def",
"l1_error",
"(",
"true",
",",
"pred",
")",
":",
"return",
"tf",
".",
"reduce_sum",
"(",
"tf",
".",
"abs",
"(",
"true",
"-",
"pred",
")",
")",
"/",
"tf",
".",
"to_float",
"(",
"tf",
".",
"size",
"(",
"pred",
")",
")"
] |
L1 distance between tensors true and pred.
|
[
"L1",
"distance",
"between",
"tensors",
"true",
"and",
"pred",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/epva.py#L598-L600
|
train
|
L1 error between tensors true and pred.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(1516 - 1464) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(913 - 863) + chr(54) + '\062', 0o10), ehT0Px3KOsy9(chr(1284 - 1236) + chr(0b1000000 + 0o57) + '\061' + chr(0b110011) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(0b100001 + 0o116) + '\x32' + chr(0b10110 + 0o32) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1101 + 0o45) + chr(50) + chr(2067 - 2019), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1322 - 1211) + '\x31' + chr(0b1110 + 0o50) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110111) + '\067', 8055 - 8047), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11001 + 0o31) + chr(0b100 + 0o55), 0b1000), ehT0Px3KOsy9(chr(815 - 767) + chr(0b1010101 + 0o32) + chr(0b110110) + chr(2154 - 2102), 19022 - 19014), ehT0Px3KOsy9('\060' + '\157' + '\x37' + chr(173 - 122), 0b1000), ehT0Px3KOsy9('\060' + chr(1883 - 1772) + chr(0b110001) + '\067' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(656 - 601) + chr(0b100100 + 0o14), 0b1000), ehT0Px3KOsy9(chr(775 - 727) + chr(0b1101111) + chr(49) + chr(0b110000) + chr(0b10001 + 0o37), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\060' + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + chr(222 - 172) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(0b110010) + chr(0b11010 + 0o35) + chr(2396 - 2347), 46484 - 46476), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b101011 + 0o7) + chr(0b111 + 0o56), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(1191 - 1142) + chr(175 - 123), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b110010) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + chr(0b1 + 0o61) + '\x37' + '\062', 51316 - 51308), ehT0Px3KOsy9(chr(1606 - 1558) + '\157' + chr(1321 - 1269), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b110101) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b101011 + 0o13) + chr(1798 - 1748), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110010 + 0o0) + '\x33', 7856 - 7848), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1371 - 1321) + chr(0b10011 + 0o35) + '\x32', 55419 - 55411), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101001 + 0o6) + chr(0b0 + 0o62), 0b1000), ehT0Px3KOsy9(chr(792 - 744) + '\157' + chr(49) + chr(2071 - 2018) + chr(52), 60059 - 60051), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\060' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(7853 - 7742) + chr(0b111 + 0o52) + chr(54) + chr(110 - 58), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111011 + 0o64) + '\x35' + '\061', 40009 - 40001), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(53) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(10619 - 10508) + chr(50) + chr(0b10010 + 0o43) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1430 - 1382) + '\157' + chr(55) + chr(378 - 325), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(422 - 371) + chr(51) + chr(0b100011 + 0o15), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(1040 - 989) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11111 + 0o24) + '\x37' + chr(1179 - 1125), 0b1000), ehT0Px3KOsy9(chr(112 - 64) + chr(0b1011000 + 0o27) + chr(51) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(55) + chr(48), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + chr(53) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc'), '\x64' + chr(101) + '\143' + chr(111) + chr(0b1100100) + chr(0b110011 + 0o62))('\165' + chr(116) + chr(4760 - 4658) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wPePZDwmxgZh(pZjlIgUeCnXc, eyamnrN0elUS):
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\xd7>\xf2\xf3\x16\xa0bAV'), '\x64' + chr(3535 - 3434) + chr(0b1001010 + 0o31) + chr(0b1101111) + chr(100) + chr(0b10101 + 0o120))(chr(117) + '\x74' + chr(2671 - 2569) + chr(551 - 506) + '\x38'))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\xd0)'), chr(0b1001011 + 0o31) + chr(101) + chr(0b101101 + 0o66) + chr(111) + chr(0b110 + 0o136) + '\x65')(chr(0b111010 + 0o73) + '\x74' + chr(0b1001101 + 0o31) + '\x2d' + chr(0b11110 + 0o32)))(pZjlIgUeCnXc - eyamnrN0elUS)) / xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\xe7\x16\xb4\xfb;\xbdVa\x03.v'), chr(0b1100 + 0o130) + chr(0b10010 + 0o123) + '\143' + '\x6f' + chr(0b1100100) + chr(0b1100101))('\165' + chr(116) + chr(8538 - 8436) + chr(0b101101) + chr(2519 - 2463)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\xfe9\xe4\xa31\xbc[Zj\x10b'), '\x64' + chr(0b110110 + 0o57) + chr(0b1100011) + chr(0b1101111) + chr(0b1000010 + 0o42) + '\145')(chr(117) + chr(116) + chr(10225 - 10123) + chr(1329 - 1284) + chr(0b1110 + 0o52)))(eyamnrN0elUS))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/epva.py
|
calc_loss_psnr
|
def calc_loss_psnr(gen_images, images, name, hparams=None, use_l1_loss=False):
"""Calculates loss and psnr for predictions over multiple timesteps."""
del hparams
with tf.name_scope(name):
loss, error, psnr_all = 0.0, 0.0, 0.0
for _, x, gx in zip(range(len(gen_images)), images, gen_images):
recon_cost = mean_squared_error(x, gx)
if use_l1_loss:
recon_cost = l1_error(x, gx)
error_i = l1_error(x, gx)
psnr_i = peak_signal_to_noise_ratio(x, gx)
psnr_all += psnr_i
error += error_i
loss += recon_cost
psnr_all /= tf.to_float(len(gen_images))
loss /= tf.to_float(len(gen_images))
error /= tf.to_float(len(gen_images))
# if not hparams.use_tpu:
tf.summary.scalar('psnr_all', psnr_all)
tf.summary.scalar('loss', loss)
return loss, psnr_all
|
python
|
def calc_loss_psnr(gen_images, images, name, hparams=None, use_l1_loss=False):
"""Calculates loss and psnr for predictions over multiple timesteps."""
del hparams
with tf.name_scope(name):
loss, error, psnr_all = 0.0, 0.0, 0.0
for _, x, gx in zip(range(len(gen_images)), images, gen_images):
recon_cost = mean_squared_error(x, gx)
if use_l1_loss:
recon_cost = l1_error(x, gx)
error_i = l1_error(x, gx)
psnr_i = peak_signal_to_noise_ratio(x, gx)
psnr_all += psnr_i
error += error_i
loss += recon_cost
psnr_all /= tf.to_float(len(gen_images))
loss /= tf.to_float(len(gen_images))
error /= tf.to_float(len(gen_images))
# if not hparams.use_tpu:
tf.summary.scalar('psnr_all', psnr_all)
tf.summary.scalar('loss', loss)
return loss, psnr_all
|
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] |
Calculates loss and psnr for predictions over multiple timesteps.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/epva.py#L603-L627
|
train
|
Calculates loss and psnr for predictions over multiple timesteps.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1356 - 1308) + '\x6f' + '\x32' + '\x34' + chr(1512 - 1463), 43741 - 43733), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b110100) + '\062', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\x33' + chr(0b11110 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(817 - 769) + chr(0b1101011 + 0o4) + '\x32' + '\x32' + chr(0b100100 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101100 + 0o3) + chr(0b110100) + chr(1662 - 1610), 0b1000), ehT0Px3KOsy9(chr(396 - 348) + '\157' + chr(500 - 451) + '\x31' + chr(0b110111), 15185 - 15177), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11010 + 0o27) + chr(55), 29589 - 29581), ehT0Px3KOsy9(chr(884 - 836) + chr(1787 - 1676) + chr(807 - 758) + chr(771 - 721) + '\060', 0b1000), ehT0Px3KOsy9(chr(2301 - 2253) + chr(5384 - 5273) + '\063' + chr(0b110100) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2140 - 2089) + chr(216 - 168) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(0b110011) + chr(709 - 657) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2332 - 2221) + '\061' + chr(50) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(614 - 564) + '\x31' + chr(55), 19837 - 19829), ehT0Px3KOsy9('\060' + chr(6504 - 6393) + chr(2150 - 2100) + chr(54) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(0b100110 + 0o15) + '\x30' + chr(0b1 + 0o61), 0b1000), ehT0Px3KOsy9(chr(2303 - 2255) + chr(1740 - 1629) + chr(0b110000 + 0o2) + chr(0b11000 + 0o36) + '\x30', 12687 - 12679), ehT0Px3KOsy9(chr(1199 - 1151) + '\x6f' + '\062' + chr(841 - 792) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1252 - 1204) + '\x6f' + chr(0b10111 + 0o32) + chr(0b110010) + chr(54), 8), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b101 + 0o62) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(2956 - 2845) + chr(1488 - 1439) + chr(1725 - 1672) + chr(752 - 697), 28162 - 28154), ehT0Px3KOsy9(chr(48) + chr(4396 - 4285) + '\063' + '\061' + chr(52), 49133 - 49125), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(1703 - 1653) + chr(1525 - 1472) + chr(1699 - 1651), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1529 - 1479) + '\067' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(0b110101) + '\x37', 1000 - 992), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(1523 - 1412) + '\x33' + chr(0b110001) + chr(0b100110 + 0o21), 38756 - 38748), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1000101 + 0o52) + '\062' + chr(53) + chr(0b0 + 0o63), 25845 - 25837), ehT0Px3KOsy9(chr(712 - 664) + chr(1064 - 953) + chr(51) + '\060' + '\x35', 8), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(0b100001 + 0o21) + chr(2337 - 2284) + chr(0b110110 + 0o0), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + '\x33' + '\x35' + chr(0b110001 + 0o6), 0b1000), ehT0Px3KOsy9(chr(926 - 878) + chr(2010 - 1899) + chr(0b110010) + '\064' + '\063', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(51) + chr(0b110001) + chr(1557 - 1507), 0b1000), ehT0Px3KOsy9(chr(2129 - 2081) + chr(4359 - 4248) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(968 - 919) + '\x34' + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(171 - 117) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(0b10 + 0o60) + '\x35' + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(1440 - 1390) + chr(282 - 230), 0o10), ehT0Px3KOsy9(chr(863 - 815) + chr(111) + '\x33' + chr(1541 - 1491) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b110010) + chr(139 - 89), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\060' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\x31' + '\061' + chr(0b101111 + 0o5), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(984 - 936) + chr(111) + chr(598 - 545) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f'), chr(4221 - 4121) + '\x65' + chr(0b1100011) + chr(9699 - 9588) + chr(2429 - 2329) + '\x65')(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + chr(0b11011 + 0o35)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def H6xIVDw1JPfu(e6HC0TgzP2YQ, YJOmEcibG8C0, AIvJRzLdDfgF, n4ljua2gi1Pr=None, idQABK03bDl7=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x30', 0b1000)):
del n4ljua2gi1Pr
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\x03\xb7\xf3{<l?\x96\xa0'), chr(0b1100100) + chr(0b1100101) + '\143' + '\x6f' + '\144' + chr(101))(chr(117) + chr(116) + '\146' + '\x2d' + chr(0b111000)))(AIvJRzLdDfgF):
(YpO0BcZ6fMsf, EUdPatOS1wx0, zDXA58G53au5) = (0.0, 0.0, 0.0)
for (VNGQdHSFPrso, OeWW0F1dBPRQ, dfDIQAt4gmWs) in pZ0NK2y6HRbn(vQr8gNKaIaWE(c2A0yzQpDQB3(e6HC0TgzP2YQ)), YJOmEcibG8C0, e6HC0TgzP2YQ):
GyHeCZI_7_GH = QI0DRtLZX2bE(OeWW0F1dBPRQ, dfDIQAt4gmWs)
if idQABK03bDl7:
GyHeCZI_7_GH = wPePZDwmxgZh(OeWW0F1dBPRQ, dfDIQAt4gmWs)
N9efqrLMMk0a = wPePZDwmxgZh(OeWW0F1dBPRQ, dfDIQAt4gmWs)
QUN7CvmBOKTI = wFPFCu77z33a(OeWW0F1dBPRQ, dfDIQAt4gmWs)
zDXA58G53au5 += QUN7CvmBOKTI
EUdPatOS1wx0 += N9efqrLMMk0a
YpO0BcZ6fMsf += GyHeCZI_7_GH
zDXA58G53au5 /= IDJ2eXGCBCDu.ZUL3kHBGU8Uu(c2A0yzQpDQB3(e6HC0TgzP2YQ))
YpO0BcZ6fMsf /= IDJ2eXGCBCDu.ZUL3kHBGU8Uu(c2A0yzQpDQB3(e6HC0TgzP2YQ))
EUdPatOS1wx0 /= IDJ2eXGCBCDu.ZUL3kHBGU8Uu(c2A0yzQpDQB3(e6HC0TgzP2YQ))
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\x01\xbb\xfaE='), chr(0b10011 + 0o121) + chr(101) + chr(7580 - 7481) + chr(111) + '\144' + chr(0b1010010 + 0o23))(chr(117) + '\x74' + '\x66' + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x11\xb4\xe4{.c<'), chr(0b1100100) + chr(101) + '\x63' + chr(111) + '\144' + chr(101))(chr(0b1010111 + 0o36) + chr(0b1000011 + 0o61) + '\x66' + chr(45) + chr(0b111000)), zDXA58G53au5)
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\x01\xbb\xfaE='), chr(0b1100100) + chr(630 - 529) + chr(2286 - 2187) + '\157' + chr(0b1100 + 0o130) + chr(4454 - 4353))(chr(117) + chr(0b1110100) + chr(0b10001 + 0o125) + chr(0b101101) + chr(2663 - 2607)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\r\xa9\xe5'), chr(0b110101 + 0o57) + chr(0b1100101) + chr(0b0 + 0o143) + chr(0b1101111) + '\144' + '\x65')('\x75' + '\164' + chr(0b100111 + 0o77) + chr(2007 - 1962) + '\070'), YpO0BcZ6fMsf)
return (YpO0BcZ6fMsf, zDXA58G53au5)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/sv2p_params.py
|
next_frame_sv2p
|
def next_frame_sv2p():
"""SV2P model hparams."""
hparams = basic_stochastic.next_frame_basic_stochastic()
hparams.optimizer = "true_adam"
hparams.learning_rate_schedule = "constant"
hparams.learning_rate_constant = 1e-3
hparams.video_num_input_frames = 1
hparams.video_num_target_frames = 3
hparams.batch_size = 16
hparams.bottom = {
"inputs": modalities.video_raw_bottom,
"targets": modalities.video_raw_targets_bottom,
}
hparams.loss = {
"targets": modalities.video_l2_raw_loss,
}
hparams.top = {
"targets": modalities.video_raw_top,
}
hparams.video_modality_loss_cutoff = 0.0
hparams.scheduled_sampling_mode = "count"
hparams.scheduled_sampling_k = 900.0
hparams.add_hparam("reward_prediction", True)
hparams.add_hparam("reward_prediction_stop_gradient", False)
hparams.add_hparam("reward_prediction_buffer_size", 0)
hparams.add_hparam("model_options", "CDNA")
hparams.add_hparam("num_masks", 10)
hparams.add_hparam("multi_latent", False)
hparams.add_hparam("relu_shift", 1e-12)
hparams.add_hparam("dna_kernel_size", 5)
hparams.add_hparam("upsample_method", "conv2d_transpose")
hparams.add_hparam("reward_model", "basic")
hparams.add_hparam("visualize_logits_histogram", True)
return hparams
|
python
|
def next_frame_sv2p():
"""SV2P model hparams."""
hparams = basic_stochastic.next_frame_basic_stochastic()
hparams.optimizer = "true_adam"
hparams.learning_rate_schedule = "constant"
hparams.learning_rate_constant = 1e-3
hparams.video_num_input_frames = 1
hparams.video_num_target_frames = 3
hparams.batch_size = 16
hparams.bottom = {
"inputs": modalities.video_raw_bottom,
"targets": modalities.video_raw_targets_bottom,
}
hparams.loss = {
"targets": modalities.video_l2_raw_loss,
}
hparams.top = {
"targets": modalities.video_raw_top,
}
hparams.video_modality_loss_cutoff = 0.0
hparams.scheduled_sampling_mode = "count"
hparams.scheduled_sampling_k = 900.0
hparams.add_hparam("reward_prediction", True)
hparams.add_hparam("reward_prediction_stop_gradient", False)
hparams.add_hparam("reward_prediction_buffer_size", 0)
hparams.add_hparam("model_options", "CDNA")
hparams.add_hparam("num_masks", 10)
hparams.add_hparam("multi_latent", False)
hparams.add_hparam("relu_shift", 1e-12)
hparams.add_hparam("dna_kernel_size", 5)
hparams.add_hparam("upsample_method", "conv2d_transpose")
hparams.add_hparam("reward_model", "basic")
hparams.add_hparam("visualize_logits_histogram", True)
return hparams
|
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] |
SV2P model hparams.
|
[
"SV2P",
"model",
"hparams",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/sv2p_params.py#L27-L60
|
train
|
SV2P model hparams.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10111 + 0o34) + chr(0b110010) + chr(0b1100 + 0o46), 0o10), ehT0Px3KOsy9(chr(1534 - 1486) + '\157' + chr(52) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b101111 + 0o10) + chr(0b11111 + 0o30), 0b1000), ehT0Px3KOsy9(chr(1954 - 1906) + chr(0b10100 + 0o133) + chr(50) + chr(0b110110) + chr(0b110100 + 0o1), ord("\x08")), ehT0Px3KOsy9('\060' + chr(11062 - 10951) + chr(0b100 + 0o56) + chr(54) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(49) + '\x34' + chr(1094 - 1041), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(53) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100100 + 0o21) + chr(800 - 749), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5252 - 5141) + '\063' + chr(395 - 342) + chr(349 - 299), 0b1000), ehT0Px3KOsy9('\x30' + chr(5404 - 5293) + chr(234 - 185) + '\x31' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11011 + 0o27) + chr(0b11110 + 0o24) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(3033 - 2922) + chr(0b101011 + 0o10) + chr(1989 - 1935) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(0b110010) + chr(0b100 + 0o57) + '\x31', 19188 - 19180), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(1152 - 1098) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8553 - 8442) + '\062' + chr(1776 - 1726), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6212 - 6101) + chr(51) + '\x34' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10110 + 0o34) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(49) + '\061' + chr(54), 45960 - 45952), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\061' + chr(0b100000 + 0o21), 0b1000), ehT0Px3KOsy9('\060' + chr(11315 - 11204) + chr(488 - 439) + '\063' + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + '\x33' + '\064' + '\x33', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1124 - 1073) + '\063' + chr(1684 - 1636), 0o10), ehT0Px3KOsy9(chr(234 - 186) + chr(111) + chr(0b101100 + 0o6) + '\064' + chr(0b10100 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(0b110011) + chr(858 - 807), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\063' + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(136 - 25) + chr(49) + chr(0b100001 + 0o23), 50739 - 50731), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x33' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011111 + 0o20) + chr(49) + chr(51) + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + chr(609 - 498) + chr(2170 - 2120) + chr(0b101010 + 0o10) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\x37' + chr(171 - 118), 2461 - 2453), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(0b11001 + 0o34) + '\063', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\064' + chr(880 - 825), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + chr(51) + chr(49) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(311 - 262) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(845 - 797) + chr(4067 - 3956) + chr(0b110010 + 0o0) + '\x34', 23449 - 23441), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(0b110010) + chr(0b110000) + '\066', 55092 - 55084), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10010 + 0o40) + chr(0b11 + 0o64) + chr(2356 - 2306), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(549 - 501) + chr(327 - 272), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11100 + 0o123) + '\061' + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2093 - 1982) + chr(0b110010) + '\063' + chr(0b1 + 0o66), 57998 - 57990)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(53) + chr(0b100111 + 0o11), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc'), chr(0b1010001 + 0o23) + '\145' + chr(683 - 584) + chr(9561 - 9450) + chr(0b1100100) + '\x65')('\165' + '\x74' + chr(0b1100110) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def el6e55L32YXZ():
n4ljua2gi1Pr = RvMzMhQ9W7ZW.next_frame_basic_stochastic()
n4ljua2gi1Pr.XdKNcYRObPK3 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6PJ\xd0\xef\x04\nJ\x87'), '\x64' + chr(6368 - 6267) + '\143' + chr(3031 - 2920) + chr(0b1100100) + chr(0b1001111 + 0o26))('\x75' + chr(0b1110100) + '\146' + '\x2d' + '\070')
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1MQ\xc6\xc4\x04\x00_'), chr(0b1100100) + '\x65' + chr(0b1010110 + 0o15) + chr(111) + chr(100) + chr(1222 - 1121))(chr(12443 - 12326) + chr(10079 - 9963) + chr(9313 - 9211) + chr(0b10 + 0o53) + '\x38')
n4ljua2gi1Pr.Ot9HUjnkxXA_ = 0.001
n4ljua2gi1Pr.UUXW9NWPZxPI = ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + '\061', 0b1000)
n4ljua2gi1Pr.UxYiT0ZFW2SZ = ehT0Px3KOsy9(chr(1847 - 1799) + chr(111) + chr(1922 - 1871), 0o10)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1010001 + 0o36) + chr(1073 - 1023) + chr(0b110000), 0o10)
n4ljua2gi1Pr.kXxsZxlIQUSQ = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xbbLO\xc0\xc4\x16'), '\144' + chr(101) + chr(0b1100011) + '\157' + chr(2581 - 2481) + chr(0b1101 + 0o130))(chr(117) + chr(0b100100 + 0o120) + chr(8855 - 8753) + chr(244 - 199) + '\x38'): PuPeNl0CuqOQ.video_raw_bottom, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6CM\xd2\xd5\x11\x1d'), '\x64' + '\145' + '\143' + '\157' + chr(100) + '\145')('\x75' + chr(0b1010011 + 0o41) + '\146' + chr(0b11100 + 0o21) + '\070'): PuPeNl0CuqOQ.video_raw_targets_bottom}
n4ljua2gi1Pr.YpO0BcZ6fMsf = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6CM\xd2\xd5\x11\x1d'), '\x64' + chr(0b110010 + 0o63) + '\x63' + '\157' + chr(100) + chr(160 - 59))('\165' + chr(0b1110100) + chr(3271 - 3169) + chr(0b11010 + 0o23) + chr(2529 - 2473)): PuPeNl0CuqOQ.video_l2_raw_loss}
n4ljua2gi1Pr.qxrVBjeryNEZ = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6CM\xd2\xd5\x11\x1d'), '\x64' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\x74' + chr(3996 - 3894) + chr(0b101000 + 0o5) + chr(2656 - 2600)): PuPeNl0CuqOQ.video_raw_top}
n4ljua2gi1Pr.EF49vBKJeCZx = 0.0
n4ljua2gi1Pr.RnAcJFv3oEFN = xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1MJ\xdb\xc4'), chr(0b1100100) + '\145' + chr(0b1011101 + 0o6) + '\157' + chr(0b1100100) + chr(101))(chr(0b1110101) + '\x74' + chr(0b100101 + 0o101) + chr(0b101100 + 0o1) + chr(2885 - 2829))
n4ljua2gi1Pr.RkMpuzsFIGl5 = 900.0
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3F[\xea\xd8\x15\x0fY\x8b"'), chr(0b1100100) + chr(101) + '\x63' + chr(111) + chr(5747 - 5647) + chr(101))(chr(117) + '\x74' + '\x66' + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0GH\xd4\xc2\x011[\x98*\xf1\x9f\xfa\x84{\x8cx'), chr(0b1100100) + chr(0b10100 + 0o121) + chr(99) + chr(0b100101 + 0o112) + chr(0b1011000 + 0o14) + chr(4075 - 3974))(chr(0b1110101) + '\x74' + chr(102) + chr(0b1001 + 0o44) + chr(0b111000)), ehT0Px3KOsy9(chr(197 - 149) + chr(0b1001 + 0o146) + '\061', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3F[\xea\xd8\x15\x0fY\x8b"'), chr(100) + '\x65' + '\143' + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + '\146' + chr(622 - 577) + chr(925 - 869)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0GH\xd4\xc2\x011[\x98*\xf1\x9f\xfa\x84{\x8cx\x11:)\x8c\xa8\xff|.m\xbb4\xf7\x13_'), chr(4847 - 4747) + '\145' + '\143' + '\x6f' + chr(100) + '\x65')('\x75' + chr(116) + chr(0b1011010 + 0o14) + '\055' + chr(2014 - 1958)), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\060', 13071 - 13063))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3F[\xea\xd8\x15\x0fY\x8b"'), chr(0b1100100) + chr(101) + '\143' + chr(0b1101111) + chr(5027 - 4927) + chr(0b1100101))(chr(3781 - 3664) + '\x74' + chr(102) + chr(0b11010 + 0o23) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b"\xa0GH\xd4\xc2\x011[\x98*\xf1\x9f\xfa\x84{\x8cx\x11+(\x85\xbe\xc5i\x03\x7f\xb6'\xf7"), chr(100) + chr(101) + '\x63' + chr(111) + '\x64' + chr(9684 - 9583))('\x75' + chr(911 - 795) + chr(102) + chr(0b110 + 0o47) + chr(0b111000)), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(8437 - 8326) + chr(48), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3F[\xea\xd8\x15\x0fY\x8b"'), chr(100) + '\x65' + '\143' + '\x6f' + chr(5793 - 5693) + chr(0b101100 + 0o71))(chr(0b1110101) + '\x74' + '\x66' + chr(0b100011 + 0o12) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbfM[\xd0\xdc:\x01[\x9e&\xfa\x98\xea'), chr(0b1010011 + 0o21) + chr(7695 - 7594) + chr(0b1100011) + chr(4103 - 3992) + '\x64' + '\145')(chr(0b1110101) + chr(6593 - 6477) + chr(4198 - 4096) + chr(0b101101) + chr(0b10111 + 0o41)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x91fq\xf4'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(0b1001100 + 0o30) + '\145')(chr(0b100000 + 0o125) + chr(0b110010 + 0o102) + chr(0b1001 + 0o135) + chr(0b101101) + chr(744 - 688)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3F[\xea\xd8\x15\x0fY\x8b"'), chr(100) + chr(0b1100101) + '\143' + chr(111) + chr(9392 - 9292) + '\145')(chr(117) + chr(0b1011100 + 0o30) + chr(0b1100110) + '\x2d' + chr(2604 - 2548)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbcWR\xea\xdd\x04\x1d@\x99'), '\x64' + chr(6949 - 6848) + chr(2230 - 2131) + '\157' + chr(2069 - 1969) + chr(101))(chr(0b1011000 + 0o35) + chr(0b1001011 + 0o51) + '\x66' + '\055' + chr(0b101110 + 0o12)), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(0b110001) + chr(0b110010), ord("\x08")))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3F[\xea\xd8\x15\x0fY\x8b"'), chr(0b1100100) + chr(4821 - 4720) + chr(0b1001011 + 0o30) + chr(7857 - 7746) + '\144' + '\145')(chr(117) + chr(0b111011 + 0o71) + chr(0b101001 + 0o75) + chr(715 - 670) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbfWS\xc1\xd9:\x02J\x9e*\xfb\x82'), '\144' + chr(101) + '\143' + chr(5471 - 5360) + chr(0b1010000 + 0o24) + '\145')(chr(6410 - 6293) + '\x74' + '\x66' + '\x2d' + '\070'), ehT0Px3KOsy9('\x30' + chr(0b1001110 + 0o41) + '\060', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3F[\xea\xd8\x15\x0fY\x8b"'), '\144' + chr(2479 - 2378) + chr(0b1100011) + chr(0b1001011 + 0o44) + chr(0b101 + 0o137) + '\145')(chr(0b1110101) + chr(12693 - 12577) + chr(0b1100110) + chr(943 - 898) + chr(0b10001 + 0o47)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0GS\xc0\xef\x16\x06B\x8c;'), '\144' + chr(7190 - 7089) + chr(0b1100011) + chr(0b1101110 + 0o1) + '\x64' + chr(101))(chr(0b11100 + 0o131) + '\x74' + '\146' + chr(0b1001 + 0o44) + chr(56)), 1e-12)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3F[\xea\xd8\x15\x0fY\x8b"'), chr(100) + '\145' + '\x63' + chr(0b101011 + 0o104) + chr(0b111001 + 0o53) + '\145')('\x75' + chr(0b1110100) + '\x66' + chr(0b100111 + 0o6) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6L^\xea\xdb\x00\x1cE\x8f#\xca\x85\xf0\x8aw'), chr(7867 - 7767) + '\145' + chr(99) + chr(0b1000111 + 0o50) + chr(0b1100100) + '\145')('\x75' + '\164' + chr(0b100101 + 0o101) + chr(45) + '\070'), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101), 49336 - 49328))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3F[\xea\xd8\x15\x0fY\x8b"'), chr(4324 - 4224) + chr(0b1011110 + 0o7) + chr(0b1100011) + '\157' + '\144' + chr(3745 - 3644))(chr(0b100110 + 0o117) + '\164' + '\146' + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7RL\xd4\xdd\x15\x02N\xb5"\xf0\x82\xf1\x9fv'), chr(0b100011 + 0o101) + chr(0b1010110 + 0o17) + chr(0b1100011) + chr(0b1100101 + 0o12) + '\x64' + '\145')(chr(117) + '\x74' + chr(102) + chr(0b1110 + 0o37) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1MQ\xc3\x82\x011_\x98.\xfb\x85\xe9\x9fa\x86'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(1925 - 1825) + '\145')(chr(0b1110101) + chr(116) + '\x66' + chr(0b1 + 0o54) + chr(0b111000)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3F[\xea\xd8\x15\x0fY\x8b"'), chr(100) + chr(0b1001101 + 0o30) + chr(99) + '\157' + '\144' + chr(101))(chr(10783 - 10666) + chr(0b1110100) + chr(0b110110 + 0o60) + chr(0b1100 + 0o41) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0GH\xd4\xc2\x011F\x85+\xf0\x9a'), chr(6471 - 6371) + chr(101) + chr(0b1100011) + '\x6f' + chr(100) + chr(101))(chr(5181 - 5064) + '\164' + chr(102) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0CL\xdc\xd3'), '\144' + '\x65' + chr(99) + chr(0b11000 + 0o127) + chr(100) + '\x65')('\165' + chr(116) + '\x66' + chr(0b101101 + 0o0) + chr(0b101011 + 0o15)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3F[\xea\xd8\x15\x0fY\x8b"'), chr(0b10010 + 0o122) + '\x65' + chr(5724 - 5625) + chr(5646 - 5535) + chr(0b11110 + 0o106) + '\x65')('\x75' + chr(0b1001011 + 0o51) + chr(102) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4KL\xc0\xd1\t\x07Q\x8f\x10\xf9\x99\xfe\x99f\x90I& .\x97\xb7\xc7i=a'), '\144' + chr(0b1100101) + chr(1489 - 1390) + chr(0b11111 + 0o120) + chr(100) + chr(6548 - 6447))(chr(117) + chr(116) + chr(102) + chr(45) + chr(0b111000)), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(2012 - 1901) + chr(0b1000 + 0o51), 8))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/sv2p_params.py
|
next_frame_sv2p_discrete
|
def next_frame_sv2p_discrete():
"""SV2P discrete model hparams."""
hparams = next_frame_sv2p()
hparams.action_injection = "multiplicative"
hparams.small_mode = True
hparams.add_hparam("bottleneck_bits", 128)
hparams.add_hparam("bottleneck_noise", 0.02)
hparams.add_hparam("discrete_warmup_steps", 40000)
hparams.add_hparam("full_latent_tower", False)
hparams.add_hparam("latent_predictor_state_size", 128)
hparams.add_hparam("latent_predictor_temperature", 0.5)
hparams.add_hparam("discretize_warmup_steps", 40000)
return hparams
|
python
|
def next_frame_sv2p_discrete():
"""SV2P discrete model hparams."""
hparams = next_frame_sv2p()
hparams.action_injection = "multiplicative"
hparams.small_mode = True
hparams.add_hparam("bottleneck_bits", 128)
hparams.add_hparam("bottleneck_noise", 0.02)
hparams.add_hparam("discrete_warmup_steps", 40000)
hparams.add_hparam("full_latent_tower", False)
hparams.add_hparam("latent_predictor_state_size", 128)
hparams.add_hparam("latent_predictor_temperature", 0.5)
hparams.add_hparam("discretize_warmup_steps", 40000)
return hparams
|
[
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"(",
")",
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"hparams",
"=",
"next_frame_sv2p",
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")",
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",",
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",",
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",",
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",",
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",",
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] |
SV2P discrete model hparams.
|
[
"SV2P",
"discrete",
"model",
"hparams",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/sv2p_params.py#L64-L76
|
train
|
SV2P discrete model hparams.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1010110 + 0o31) + chr(0b110011) + '\x37' + '\x32', 959 - 951), ehT0Px3KOsy9(chr(1407 - 1359) + chr(111) + '\x31' + chr(54) + '\064', 38145 - 38137), ehT0Px3KOsy9('\060' + chr(475 - 364) + chr(1753 - 1702), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110001 + 0o2), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\065' + '\062', 39008 - 39000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + '\062' + chr(0b110101) + chr(0b100 + 0o60), 26983 - 26975), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + chr(51) + chr(306 - 258) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x37' + chr(0b100110 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(1344 - 1296) + chr(0b1100 + 0o143) + chr(0b110111) + '\x35', 1689 - 1681), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\x33' + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110111) + chr(0b110101), 26189 - 26181), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(466 - 415) + '\x31' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(49) + chr(54) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(726 - 673) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + '\x34' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100 + 0o143) + '\063' + chr(0b110000) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8154 - 8043) + chr(2331 - 2280) + chr(1595 - 1543) + '\063', 1651 - 1643), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110 + 0o52), 0o10), ehT0Px3KOsy9(chr(48) + chr(8876 - 8765) + chr(1098 - 1048) + chr(916 - 868) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(1542 - 1487) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10010 + 0o37) + chr(0b110101) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + '\x33' + chr(53) + chr(0b10111 + 0o36), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(54) + chr(219 - 171), 30723 - 30715), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x37' + '\x35', 8), ehT0Px3KOsy9(chr(1323 - 1275) + chr(4123 - 4012) + chr(0b101010 + 0o7) + chr(1552 - 1497) + '\x34', 53825 - 53817), ehT0Px3KOsy9('\060' + chr(0b10101 + 0o132) + chr(0b110011) + chr(0b110110) + chr(0b1111 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5969 - 5858) + chr(0b10110 + 0o34) + chr(0b110110) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\x33' + chr(1784 - 1731) + chr(2011 - 1960), 0b1000), ehT0Px3KOsy9('\060' + chr(4723 - 4612) + chr(49) + chr(0b10011 + 0o41) + chr(0b101100 + 0o11), 0b1000), ehT0Px3KOsy9(chr(1912 - 1864) + chr(4548 - 4437) + '\064' + chr(740 - 685), 59734 - 59726), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(50) + chr(50) + chr(1840 - 1789), 7670 - 7662), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110100) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(131 - 83) + chr(7294 - 7183) + chr(54) + chr(1623 - 1571), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b1110 + 0o45) + chr(0b11101 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10000 + 0o42) + chr(0b110100) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(2355 - 2306) + '\x30', 50953 - 50945), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(54) + '\x32', 44798 - 44790), ehT0Px3KOsy9('\060' + chr(1154 - 1043) + '\063' + '\061' + '\x33', 43930 - 43922), ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + '\063' + chr(0b110000) + chr(0b110 + 0o55), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1111 + 0o46) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4'), chr(100) + chr(101) + '\143' + chr(10934 - 10823) + chr(100) + chr(0b1 + 0o144))('\x75' + chr(509 - 393) + '\146' + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def n49HsSr3irWE():
n4ljua2gi1Pr = el6e55L32YXZ()
n4ljua2gi1Pr.GOPHah0xx0Rk = xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\x01osrZ\xc0\xa8]\\.\x14\xbf\x14'), '\x64' + chr(5344 - 5243) + chr(0b110111 + 0o54) + chr(11515 - 11404) + chr(100) + '\x65')(chr(0b101010 + 0o113) + '\x74' + '\x66' + chr(0b101101) + '\x38')
n4ljua2gi1Pr.Wz3kvzGxIPZB = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061', ord("\x08"))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x10gXsZ\xcd\xb3_P'), chr(1975 - 1875) + chr(0b1100101) + '\x63' + chr(0b110111 + 0o70) + '\x64' + chr(0b1 + 0o144))(chr(10559 - 10442) + '\164' + chr(0b11 + 0o143) + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x98\x1bwswO\xc2\xa4]V\x05\x1f\xa0\x05\x18'), '\x64' + chr(0b101010 + 0o73) + chr(0b110 + 0o135) + chr(0b10110 + 0o131) + chr(100) + chr(5577 - 5476))(chr(0b1110101) + chr(116) + chr(0b10010 + 0o124) + chr(1631 - 1586) + chr(56)), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(2142 - 2094) + chr(0b11110 + 0o22), 0o10))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x10gXsZ\xcd\xb3_P'), '\144' + chr(0b1000100 + 0o41) + chr(0b1100011) + '\x6f' + chr(0b10110 + 0o116) + chr(0b1001110 + 0o27))(chr(1480 - 1363) + chr(0b1110100) + '\146' + '\x2d' + chr(402 - 346)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x98\x1bwswO\xc2\xa4]V\x05\x13\xa6\x18\x18D'), '\x64' + chr(6866 - 6765) + chr(0b11110 + 0o105) + chr(3806 - 3695) + '\144' + chr(0b1100101))(chr(117) + '\164' + chr(8043 - 7941) + chr(45) + chr(0b111000)), 0.02)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x10gXsZ\xcd\xb3_P'), chr(0b1100100) + chr(0b11010 + 0o113) + chr(0b1000000 + 0o43) + '\157' + '\x64' + chr(101))(chr(0b10001 + 0o144) + chr(116) + '\x66' + chr(1512 - 1467) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x1dpdiO\xd8\xa4aJ;\x0f\xa4\x04\x1b~\xb6\x97m\xf1\r'), chr(0b100000 + 0o104) + chr(6934 - 6833) + '\143' + chr(11058 - 10947) + '\x64' + chr(101))(chr(117) + chr(3542 - 3426) + '\x66' + chr(104 - 59) + '\070'), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b110001) + chr(49) + chr(0b11111 + 0o27) + '\x31' + '\x30' + chr(0b10111 + 0o31), 0b1000))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x10gXsZ\xcd\xb3_P'), '\144' + '\x65' + chr(8256 - 8157) + chr(11250 - 11139) + chr(8787 - 8687) + chr(101))(chr(0b1110101) + chr(0b10111 + 0o135) + '\146' + chr(1550 - 1505) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x01okDF\xcd\xb5[S."\xbd\x1e\x1cD\xb7'), '\x64' + '\145' + chr(0b11001 + 0o112) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(12200 - 12083) + chr(116) + chr(10035 - 9933) + '\055' + chr(0b111000)), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + '\x30', ord("\x08")))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x10gXsZ\xcd\xb3_P'), chr(0b1001000 + 0o34) + chr(0b1001011 + 0o32) + chr(4115 - 4016) + chr(6684 - 6573) + chr(100) + '\145')(chr(0b101010 + 0o113) + '\x74' + chr(102) + chr(0b101101) + chr(0b1010 + 0o56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\x15wbu^\xf3\xb1LX>\x14\xaa\x05\x04S\x9a\x90|\xe0\n\t\xb2\x83T\x06\x93'), '\x64' + chr(0b1000001 + 0o44) + chr(8081 - 7982) + chr(0b1101111) + chr(0b111111 + 0o45) + chr(9581 - 9480))('\165' + chr(116) + chr(0b1001101 + 0o31) + '\055' + chr(56)), ehT0Px3KOsy9('\x30' + chr(5377 - 5266) + chr(0b101011 + 0o7) + chr(48) + chr(48), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x10gXsZ\xcd\xb3_P'), chr(100) + chr(442 - 341) + chr(9641 - 9542) + chr(1452 - 1341) + chr(9481 - 9381) + '\x65')(chr(0b1101 + 0o150) + '\164' + '\x66' + chr(2011 - 1966) + chr(0b100010 + 0o26)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x96\x15wbu^\xf3\xb1LX>\x14\xaa\x05\x04S\x9a\x97m\xec\x0e\t\x9f\x91I\t\x84\xd6'), chr(0b1100100) + chr(0b1100101) + chr(0b11000 + 0o113) + chr(0b1101111) + chr(291 - 191) + chr(0b1100101))(chr(117) + chr(9134 - 9018) + chr(0b1100110) + chr(0b101010 + 0o3) + chr(0b101100 + 0o14)), 0.5)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x10gXsZ\xcd\xb3_P'), chr(0b10111 + 0o115) + chr(0b1100101) + chr(0b1100011) + chr(168 - 57) + chr(9546 - 9446) + '\145')('\x75' + chr(116) + chr(102) + chr(0b101101) + chr(2689 - 2633)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x1dpdiO\xd8\xa8DX\x05\n\xa8\x03\x06T\xb5\xbc{\xf5\x1b\x1c\x9e'), chr(0b1000001 + 0o43) + chr(0b1010110 + 0o17) + '\143' + '\157' + '\144' + '\145')(chr(10479 - 10362) + chr(0b1011100 + 0o30) + '\146' + chr(45) + '\x38'), ehT0Px3KOsy9(chr(1826 - 1778) + chr(0b1101111) + chr(2158 - 2109) + chr(141 - 92) + chr(0b101001 + 0o15) + '\061' + chr(109 - 61) + chr(744 - 696), 8))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/sv2p_params.py
|
next_frame_sv2p_atari
|
def next_frame_sv2p_atari():
"""SV2P model for atari."""
hparams = next_frame_sv2p()
hparams.video_num_input_frames = 4
hparams.video_num_target_frames = 4
hparams.action_injection = "multiplicative"
hparams.num_iterations_1st_stage = 12000
hparams.num_iterations_2nd_stage = 12000
hparams.anneal_end = 40000
hparams.latent_loss_multiplier_schedule = "noisy_linear_cosine_decay"
hparams.latent_loss_multiplier = 1e-3
hparams.information_capacity = 0.0
hparams.small_mode = True
return hparams
|
python
|
def next_frame_sv2p_atari():
"""SV2P model for atari."""
hparams = next_frame_sv2p()
hparams.video_num_input_frames = 4
hparams.video_num_target_frames = 4
hparams.action_injection = "multiplicative"
hparams.num_iterations_1st_stage = 12000
hparams.num_iterations_2nd_stage = 12000
hparams.anneal_end = 40000
hparams.latent_loss_multiplier_schedule = "noisy_linear_cosine_decay"
hparams.latent_loss_multiplier = 1e-3
hparams.information_capacity = 0.0
hparams.small_mode = True
return hparams
|
[
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"next_frame_sv2p_atari",
"(",
")",
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"next_frame_sv2p",
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"num_iterations_2nd_stage",
"=",
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"latent_loss_multiplier_schedule",
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"\"noisy_linear_cosine_decay\"",
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"=",
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"=",
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] |
SV2P model for atari.
|
[
"SV2P",
"model",
"for",
"atari",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/sv2p_params.py#L80-L93
|
train
|
SV2P model for atari.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3765 - 3654) + chr(53) + chr(270 - 218), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b1001 + 0o53) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(734 - 623) + '\x31' + chr(0b110011) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x34' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10001 + 0o40) + '\x33' + chr(48), 0b1000), ehT0Px3KOsy9(chr(1364 - 1316) + chr(1642 - 1531) + chr(49) + chr(0b1111 + 0o50), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(54) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111111 + 0o60) + chr(0b11001 + 0o32) + chr(54) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\062' + chr(0b110011 + 0o4), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(48) + chr(0b101000 + 0o15), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b110010) + '\067', 18493 - 18485), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1010 + 0o47) + '\x35', 28576 - 28568), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11 + 0o57) + chr(0b110110) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1025 - 977) + chr(0b1101111) + '\x31' + '\066' + '\067', 31798 - 31790), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\062' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + '\x33' + '\x33' + '\x31', 29398 - 29390), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b110010) + '\064', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + '\x31' + chr(0b110100) + chr(0b110001), 62552 - 62544), ehT0Px3KOsy9(chr(48) + chr(111) + chr(312 - 261) + '\067' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1558 - 1510) + chr(5742 - 5631) + chr(0b110011) + chr(86 - 33) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1111 + 0o140) + chr(0b11101 + 0o24) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b110101) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b1110 + 0o47) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b11000 + 0o127) + chr(63 - 13) + '\064' + chr(1167 - 1118), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(3034 - 2923) + chr(51) + '\060' + '\066', 32628 - 32620), ehT0Px3KOsy9(chr(1053 - 1005) + chr(0b1101111) + '\x31' + chr(0b110100) + chr(917 - 864), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b110100), 39151 - 39143), ehT0Px3KOsy9('\060' + chr(8297 - 8186) + '\063' + chr(0b110101) + chr(998 - 947), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110111) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + '\067' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1227 - 1179) + chr(7463 - 7352) + '\063' + '\x34' + chr(1417 - 1365), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b0 + 0o61) + chr(0b11110 + 0o30), 40943 - 40935), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(11671 - 11560) + '\x31' + '\x31' + chr(763 - 712), 5442 - 5434), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\x32' + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b101111 + 0o3) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + chr(51) + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(3732 - 3621) + chr(0b110011) + '\062' + chr(0b10011 + 0o44), 8), ehT0Px3KOsy9(chr(145 - 97) + '\x6f' + chr(0b110010) + '\x33', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(64 - 16) + '\x6f' + '\065' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'.'), '\x64' + '\x65' + chr(0b1011 + 0o130) + '\157' + chr(0b110 + 0o136) + chr(4869 - 4768))(chr(0b1101010 + 0o13) + '\x74' + chr(0b1100110) + chr(1987 - 1942) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RhXVVXwq8FVY():
n4ljua2gi1Pr = el6e55L32YXZ()
n4ljua2gi1Pr.UUXW9NWPZxPI = ehT0Px3KOsy9(chr(48) + chr(111) + '\x34', 0o10)
n4ljua2gi1Pr.UxYiT0ZFW2SZ = ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b111000 + 0o67) + '\x34', 8)
n4ljua2gi1Pr.GOPHah0xx0Rk = xafqLlk3kkUe(SXOLrMavuUCe(b'mr@\x147S4f\x16\x90#,\xa1h'), '\x64' + '\145' + chr(0b101110 + 0o65) + chr(111) + chr(0b1011010 + 0o12) + chr(101))('\165' + chr(0b1110100) + '\146' + chr(1015 - 970) + chr(77 - 21))
n4ljua2gi1Pr.iY_4zqKBVzZD = ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(0b110010) + '\x37' + chr(0b110011) + '\x34' + chr(48), 5625 - 5617)
n4ljua2gi1Pr.m_GDJNzMRp6_ = ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(321 - 271) + chr(1732 - 1677) + chr(0b100110 + 0o15) + chr(2308 - 2256) + chr(2248 - 2200), 8)
n4ljua2gi1Pr.LVO61cwcBk9E = ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b110001) + chr(49) + '\066' + chr(0b110001) + chr(48) + chr(0b110000), ord("\x08"))
n4ljua2gi1Pr.MQbixC4iR5r4 = xafqLlk3kkUe(SXOLrMavuUCe(b"nhE\x13'|4f\x1b\x9467\x88n\xd9\x04\xbb\xb7\xf1>\x98\x8fj\xcc\x10"), '\144' + chr(101) + chr(99) + chr(0b101100 + 0o103) + chr(0b100000 + 0o104) + '\145')(chr(0b101 + 0o160) + chr(0b10000 + 0o144) + chr(6734 - 6632) + '\055' + '\x38')
n4ljua2gi1Pr.ghYtMDjOY9WM = 0.001
n4ljua2gi1Pr.SeGMt5MDoTVt = 0.0
n4ljua2gi1Pr.Wz3kvzGxIPZB = ehT0Px3KOsy9('\x30' + chr(11865 - 11754) + chr(49), 16051 - 16043)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/sv2p_params.py
|
next_frame_sv2p_atari_softmax
|
def next_frame_sv2p_atari_softmax():
"""SV2P model for atari with softmax."""
hparams = next_frame_sv2p_atari()
hparams.bottom = {}
hparams.loss = {}
hparams.top = {}
hparams.internal_loss = True
return hparams
|
python
|
def next_frame_sv2p_atari_softmax():
"""SV2P model for atari with softmax."""
hparams = next_frame_sv2p_atari()
hparams.bottom = {}
hparams.loss = {}
hparams.top = {}
hparams.internal_loss = True
return hparams
|
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"next_frame_sv2p_atari",
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")",
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"top",
"=",
"{",
"}",
"hparams",
".",
"internal_loss",
"=",
"True",
"return",
"hparams"
] |
SV2P model for atari with softmax.
|
[
"SV2P",
"model",
"for",
"atari",
"with",
"softmax",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/sv2p_params.py#L97-L104
|
train
|
SV2P model for atari with softmax.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\063' + chr(52) + chr(0b11011 + 0o25), 29036 - 29028), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110100) + '\x35', 0o10), ehT0Px3KOsy9(chr(1712 - 1664) + chr(0b1101111) + chr(0b100101 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(495 - 447) + chr(9529 - 9418) + chr(0b110011) + '\x34' + chr(567 - 512), ord("\x08")), ehT0Px3KOsy9(chr(851 - 803) + chr(0b1101111) + chr(0b1011 + 0o46) + '\066' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(576 - 528) + chr(0b1101111) + chr(1409 - 1359) + chr(0b100010 + 0o25) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(6860 - 6749) + chr(0b100011 + 0o17) + chr(55) + chr(54), 64537 - 64529), ehT0Px3KOsy9('\x30' + chr(1006 - 895) + chr(780 - 727) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\066' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1721 - 1672) + '\066' + chr(407 - 355), ord("\x08")), ehT0Px3KOsy9(chr(1052 - 1004) + chr(0b10101 + 0o132) + '\063' + '\065' + chr(1138 - 1088), 16469 - 16461), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(0b11110 + 0o25) + chr(0b11100 + 0o24) + chr(0b100001 + 0o25), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\x35' + chr(0b100 + 0o62), 19883 - 19875), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(0b110010) + chr(176 - 122) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001 + 0o0) + chr(0b110001) + chr(2096 - 2043), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + '\064' + chr(0b11000 + 0o33), 19641 - 19633), ehT0Px3KOsy9(chr(530 - 482) + chr(4871 - 4760) + '\062' + '\065' + chr(0b110100 + 0o3), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\065' + '\061', 23098 - 23090), ehT0Px3KOsy9(chr(106 - 58) + chr(111) + '\x33' + chr(0b100001 + 0o21) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1073 - 1025) + chr(111) + '\061' + chr(155 - 101) + '\065', 63636 - 63628), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + '\x32' + '\x37' + chr(1610 - 1562), 22553 - 22545), ehT0Px3KOsy9(chr(48) + chr(11186 - 11075) + '\061' + '\x32' + chr(1123 - 1068), 56004 - 55996), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(55) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(978 - 927), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(0b110011) + chr(51) + '\x33', 11905 - 11897), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + chr(51) + '\062' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1000 + 0o147) + chr(0b1010 + 0o47) + '\x31' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + '\062' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(49), 42330 - 42322), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(1019 - 965) + '\067', 8), ehT0Px3KOsy9(chr(48) + chr(768 - 657) + '\x33' + '\060' + chr(0b110101), 8931 - 8923), ehT0Px3KOsy9('\060' + '\157' + chr(1462 - 1412) + chr(0b110001) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(84 - 31) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b110111) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010 + 0o0) + '\066' + chr(50), 36182 - 36174), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(48) + chr(0b110100 + 0o1), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1100 + 0o45) + chr(0b110001) + chr(1192 - 1143), 30170 - 30162), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(1084 - 1036) + chr(1575 - 1525), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + chr(0b1010 + 0o50) + chr(54) + '\x32', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(1381 - 1332) + chr(0b0 + 0o62), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + '\065' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xce'), chr(0b1011001 + 0o13) + chr(4306 - 4205) + chr(0b10000 + 0o123) + '\157' + chr(172 - 72) + chr(0b1001111 + 0o26))('\x75' + '\x74' + chr(102) + chr(0b100101 + 0o10) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RRYW3Ie5AaN3():
n4ljua2gi1Pr = RhXVVXwq8FVY()
n4ljua2gi1Pr.kXxsZxlIQUSQ = {}
n4ljua2gi1Pr.YpO0BcZ6fMsf = {}
n4ljua2gi1Pr.qxrVBjeryNEZ = {}
n4ljua2gi1Pr.lNlr4CIseK2q = ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1000001 + 0o56) + '\061', 8)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/sv2p_params.py
|
next_frame_sv2p_tiny
|
def next_frame_sv2p_tiny():
"""Tiny SV2P model."""
hparams = next_frame_sv2p_atari_softmax()
hparams.batch_size = 2
hparams.tiny_mode = True
hparams.num_masks = 1
hparams.video_modality_loss_cutoff = 0.4
hparams.video_num_input_frames = 4
hparams.video_num_target_frames = 4
return hparams
|
python
|
def next_frame_sv2p_tiny():
"""Tiny SV2P model."""
hparams = next_frame_sv2p_atari_softmax()
hparams.batch_size = 2
hparams.tiny_mode = True
hparams.num_masks = 1
hparams.video_modality_loss_cutoff = 0.4
hparams.video_num_input_frames = 4
hparams.video_num_target_frames = 4
return hparams
|
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"=",
"4",
"hparams",
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"=",
"4",
"return",
"hparams"
] |
Tiny SV2P model.
|
[
"Tiny",
"SV2P",
"model",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/sv2p_params.py#L124-L133
|
train
|
Tiny SV2P model.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\062' + chr(51), 0b1000), ehT0Px3KOsy9(chr(850 - 802) + chr(7733 - 7622) + chr(0b110011) + chr(1142 - 1087) + chr(0b110011), 53066 - 53058), ehT0Px3KOsy9(chr(1605 - 1557) + '\157' + chr(0b110001 + 0o0) + '\x31' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(1284 - 1236) + '\157' + '\061' + '\062' + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b100101 + 0o17) + chr(0b110001), 9516 - 9508), ehT0Px3KOsy9(chr(656 - 608) + '\x6f' + chr(49) + '\x31' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\064' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1100001 + 0o16) + '\x32' + '\x30' + chr(0b10111 + 0o37), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b11111 + 0o120) + chr(657 - 608) + chr(50) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(693 - 582) + '\061' + chr(53) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\063' + '\061' + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(6320 - 6209) + chr(0b11010 + 0o31) + chr(0b110011) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100101 + 0o16) + chr(0b101110 + 0o5) + chr(391 - 341), 28506 - 28498), ehT0Px3KOsy9('\060' + chr(8601 - 8490) + chr(916 - 863), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001100 + 0o43) + chr(0b110010) + chr(50) + '\x34', 20948 - 20940), ehT0Px3KOsy9(chr(1675 - 1627) + '\157' + '\x31' + chr(52) + chr(0b10111 + 0o36), 0b1000), ehT0Px3KOsy9(chr(705 - 657) + chr(111) + chr(0b110010) + '\x34' + '\064', 0o10), ehT0Px3KOsy9(chr(2285 - 2237) + chr(0b1111 + 0o140) + '\062' + chr(0b110010) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(625 - 576) + '\065' + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(766 - 717) + chr(52) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(579 - 468) + chr(51) + chr(0b110010 + 0o0), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b10100 + 0o43), 3106 - 3098), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1000 + 0o52) + chr(0b101100 + 0o11) + chr(497 - 447), ord("\x08")), ehT0Px3KOsy9(chr(1524 - 1476) + '\157' + chr(1171 - 1120) + chr(1686 - 1634) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11101 + 0o31) + chr(0b1100 + 0o46), 50685 - 50677), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101011 + 0o6) + chr(0b110111) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(124 - 73) + chr(0b110101) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(6643 - 6532) + '\x31' + '\063' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(0b110001) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x35' + chr(0b110000 + 0o1), 0o10), ehT0Px3KOsy9(chr(1451 - 1403) + chr(0b1010011 + 0o34) + '\x31' + '\x37' + '\067', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b110001) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x37' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b11101 + 0o25) + chr(54) + '\062', 54865 - 54857), ehT0Px3KOsy9(chr(64 - 16) + chr(3766 - 3655) + '\x33' + chr(0b100100 + 0o14) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(670 - 619) + chr(1173 - 1119) + chr(2449 - 2398), 0o10), ehT0Px3KOsy9('\060' + chr(2048 - 1937) + '\x35' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(50) + '\x33', 32815 - 32807), ehT0Px3KOsy9('\x30' + '\157' + chr(1314 - 1263) + '\062', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110101) + chr(0b101000 + 0o10), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'"'), chr(5351 - 5251) + chr(0b111011 + 0o52) + '\x63' + '\157' + chr(0b1100100) + chr(5410 - 5309))(chr(0b1001100 + 0o51) + chr(5500 - 5384) + chr(471 - 369) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def C7vCPxGpnVXU():
n4ljua2gi1Pr = RRYW3Ie5AaN3()
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(1925 - 1877) + chr(0b1101111) + '\x32', 47367 - 47359)
n4ljua2gi1Pr.kB3gdA9MY2jm = ehT0Px3KOsy9('\x30' + chr(9802 - 9691) + chr(0b11010 + 0o27), 0b1000)
n4ljua2gi1Pr.u84CemFRNZLD = ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(49), 8)
n4ljua2gi1Pr.EF49vBKJeCZx = 0.4
n4ljua2gi1Pr.UUXW9NWPZxPI = ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(0b100011 + 0o21), 0o10)
n4ljua2gi1Pr.UxYiT0ZFW2SZ = ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(52), 8)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/sv2p_params.py
|
next_frame_sv2p_cutoff
|
def next_frame_sv2p_cutoff():
"""SV2P model with additional cutoff in L2 loss for environments like pong."""
hparams = next_frame_sv2p()
hparams.video_modality_loss_cutoff = 0.4
hparams.video_num_input_frames = 4
hparams.video_num_target_frames = 1
return hparams
|
python
|
def next_frame_sv2p_cutoff():
"""SV2P model with additional cutoff in L2 loss for environments like pong."""
hparams = next_frame_sv2p()
hparams.video_modality_loss_cutoff = 0.4
hparams.video_num_input_frames = 4
hparams.video_num_target_frames = 1
return hparams
|
[
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"next_frame_sv2p_cutoff",
"(",
")",
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"hparams",
"=",
"next_frame_sv2p",
"(",
")",
"hparams",
".",
"video_modality_loss_cutoff",
"=",
"0.4",
"hparams",
".",
"video_num_input_frames",
"=",
"4",
"hparams",
".",
"video_num_target_frames",
"=",
"1",
"return",
"hparams"
] |
SV2P model with additional cutoff in L2 loss for environments like pong.
|
[
"SV2P",
"model",
"with",
"additional",
"cutoff",
"in",
"L2",
"loss",
"for",
"environments",
"like",
"pong",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/sv2p_params.py#L145-L151
|
train
|
SV2P model with additional cutoff in L2 loss for environments like pong.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\062' + chr(0b110000 + 0o3), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\x30' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b100010 + 0o17) + chr(0b110100), 741 - 733), ehT0Px3KOsy9(chr(2120 - 2072) + chr(0b1101111) + '\061' + '\x36' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(4178 - 4067) + chr(0b110010) + chr(54) + chr(2427 - 2373), 5074 - 5066), ehT0Px3KOsy9(chr(48) + chr(111) + chr(742 - 693) + chr(0b110011) + chr(0b0 + 0o65), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(0b100111 + 0o12) + '\x36' + '\x31', 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + '\063' + chr(1152 - 1104), 0b1000), ehT0Px3KOsy9('\060' + chr(1828 - 1717) + '\064' + chr(0b101011 + 0o13), 0b1000), ehT0Px3KOsy9(chr(1161 - 1113) + chr(111) + chr(0b101111 + 0o4) + '\x37' + '\x30', 15176 - 15168), ehT0Px3KOsy9(chr(48) + '\157' + chr(1352 - 1302) + '\x31' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(10241 - 10130) + '\x33' + chr(0b101011 + 0o12) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(1665 - 1554) + chr(0b110001) + '\065' + chr(54), 0b1000), ehT0Px3KOsy9(chr(249 - 201) + '\157' + '\063' + chr(0b110000) + '\067', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + '\x32' + chr(0b11 + 0o62) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b111 + 0o52) + chr(190 - 142), 15296 - 15288), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110100) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(2230 - 2182) + chr(0b1100000 + 0o17) + chr(49) + chr(249 - 194) + chr(0b11000 + 0o33), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101001 + 0o11) + '\063' + chr(0b1001 + 0o55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(184 - 134) + '\x36', 24804 - 24796), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + chr(0b110001) + chr(0b110101) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b110010) + chr(0b110 + 0o60), 0b1000), ehT0Px3KOsy9(chr(1321 - 1273) + chr(0b1001001 + 0o46) + '\062' + chr(0b110001 + 0o1) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(53) + chr(1670 - 1615), 10272 - 10264), ehT0Px3KOsy9(chr(1508 - 1460) + '\x6f' + chr(0b1100 + 0o47) + chr(746 - 694) + chr(0b100010 + 0o22), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(312 - 261) + chr(48), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + chr(1542 - 1491) + chr(0b110001) + chr(637 - 583), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(2233 - 2180) + chr(0b0 + 0o63), 22978 - 22970), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b1110 + 0o50) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x36' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(1446 - 1398) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\063' + '\066', 586 - 578), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + '\x37' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b10011 + 0o134) + chr(51) + '\061' + chr(0b110110 + 0o0), 8), ehT0Px3KOsy9(chr(0b110000) + chr(8881 - 8770) + chr(51) + '\063' + chr(0b110000 + 0o2), 0o10), ehT0Px3KOsy9(chr(1153 - 1105) + chr(10782 - 10671) + chr(51) + '\x33' + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(456 - 401) + chr(375 - 322), 1106 - 1098), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + '\062' + '\x32' + '\063', 8), ehT0Px3KOsy9(chr(590 - 542) + chr(0b1101111) + '\061' + chr(0b1110 + 0o47) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + '\062' + chr(0b10100 + 0o37) + '\x36', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1232 - 1184) + chr(0b10011 + 0o134) + '\065' + '\060', 28377 - 28369)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd'), chr(0b1100100) + chr(0b1100101) + chr(411 - 312) + chr(0b1100011 + 0o14) + chr(2417 - 2317) + '\x65')('\x75' + chr(0b1110100) + chr(230 - 128) + chr(0b101101) + chr(0b100100 + 0o24)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _gzXpn4fUPcV():
n4ljua2gi1Pr = el6e55L32YXZ()
n4ljua2gi1Pr.EF49vBKJeCZx = 0.4
n4ljua2gi1Pr.UUXW9NWPZxPI = ehT0Px3KOsy9('\x30' + '\157' + chr(52), ord("\x08"))
n4ljua2gi1Pr.UxYiT0ZFW2SZ = ehT0Px3KOsy9(chr(2232 - 2184) + chr(111) + '\x31', ord("\x08"))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/mscoco.py
|
_get_mscoco
|
def _get_mscoco(directory):
"""Download and extract MSCOCO datasets to directory unless it is there."""
for url in _MSCOCO_URLS:
filename = os.path.basename(url)
download_url = os.path.join(_MSCOCO_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_mscoco(directory):
"""Download and extract MSCOCO datasets to directory unless it is there."""
for url in _MSCOCO_URLS:
filename = os.path.basename(url)
download_url = os.path.join(_MSCOCO_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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] |
Download and extract MSCOCO datasets to directory unless it is there.
|
[
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"MSCOCO",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/mscoco.py#L49-L57
|
train
|
Download and extract MSCOCO datasets to directory unless it is 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(0b110000) + '\157' + chr(1786 - 1737) + chr(0b100110 + 0o15) + chr(2086 - 2031), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3528 - 3417) + chr(51) + chr(1170 - 1121) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(51) + chr(0b11 + 0o57), 1051 - 1043), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(849 - 795) + chr(1354 - 1305), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000100 + 0o53) + chr(686 - 635) + chr(0b110001) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b1011 + 0o53), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(52) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(6413 - 6302) + '\061' + '\x30' + chr(0b10000 + 0o41), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100010 + 0o17) + chr(0b10111 + 0o35), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11 + 0o60) + '\065' + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(281 - 226) + chr(0b110011 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4908 - 4797) + '\063' + '\064' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9378 - 9267) + chr(0b11110 + 0o23) + chr(2153 - 2100) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\061' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b100010 + 0o20), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1172 - 1121) + chr(0b101 + 0o60), 0o10), ehT0Px3KOsy9(chr(1888 - 1840) + '\157' + '\x33' + chr(0b110101) + chr(0b110 + 0o54), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b100001 + 0o23) + chr(1674 - 1626), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(1915 - 1865) + '\x35', 49835 - 49827), ehT0Px3KOsy9(chr(1828 - 1780) + chr(111) + chr(0b101000 + 0o11) + chr(0b110001) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110110) + chr(0b110011), 42934 - 42926), ehT0Px3KOsy9(chr(1677 - 1629) + chr(111) + '\061' + chr(49) + chr(0b100 + 0o62), 8), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(6691 - 6580) + chr(0b110001) + chr(993 - 941) + '\065', 8129 - 8121), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\062' + chr(559 - 511), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1525 - 1475) + chr(55) + chr(1869 - 1814), ord("\x08")), ehT0Px3KOsy9(chr(985 - 937) + chr(0b1011011 + 0o24) + '\x33' + chr(0b1010 + 0o47) + chr(0b11010 + 0o32), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110010) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(11172 - 11061) + chr(0b100100 + 0o23) + '\061', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b11001 + 0o30) + chr(49) + '\066', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b11010 + 0o26) + '\066', 50634 - 50626), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b10100 + 0o40) + chr(0b1011 + 0o54), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\061' + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(0b110001) + chr(0b110111) + chr(1804 - 1749), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2912 - 2858) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1037 - 989) + chr(0b1101111) + chr(0b110011) + chr(986 - 936) + chr(2336 - 2287), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(340 - 289) + '\x36' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(0b1101 + 0o44) + chr(1529 - 1481) + chr(992 - 941), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1216 - 1167) + '\x30' + chr(0b100 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(762 - 714) + '\157' + chr(0b110010) + '\066' + chr(55), 6842 - 6834)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'q'), chr(100) + '\x65' + chr(8041 - 7942) + '\x6f' + '\x64' + '\x65')(chr(5186 - 5069) + '\x74' + chr(2174 - 2072) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def tPtzSxAlqiwn(EVVr9bEHclel):
for CYCr3xzMHl4K in X1qSfSOAHHa3:
xw4DsBfIJ22E = oqhJDdMJfuwx.path.basename(CYCr3xzMHl4K)
AJe8IgYs4QkA = oqhJDdMJfuwx.path.join(xO8isuT0_og3, CYCr3xzMHl4K)
EaCjyhZptSer = g1Z_RG9zP4cD.maybe_download(EVVr9bEHclel, xw4DsBfIJ22E, AJe8IgYs4QkA)
iTPar6u9yyck = oqhJDdMJfuwx.path.join(EVVr9bEHclel, xw4DsBfIJ22E.strip(xafqLlk3kkUe(SXOLrMavuUCe(b'q\xb23A'), chr(100) + chr(8417 - 8316) + chr(99) + chr(111) + chr(1808 - 1708) + chr(101))(chr(117) + chr(0b1110100) + chr(2963 - 2861) + chr(0b1101 + 0o40) + chr(0b111000))))
if not xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\xb03B\xbae'), '\x64' + '\145' + '\143' + chr(0b1100001 + 0o16) + chr(0b1000000 + 0o44) + '\145')('\165' + chr(0b111011 + 0o71) + chr(2994 - 2892) + '\x2d' + chr(1319 - 1263)))(iTPar6u9yyck):
xafqLlk3kkUe(PFu838VwaBva.ZipFile(EaCjyhZptSer, xafqLlk3kkUe(SXOLrMavuUCe(b'-'), chr(0b1100011 + 0o1) + chr(0b11001 + 0o114) + '\143' + chr(12155 - 12044) + chr(929 - 829) + '\x65')(chr(7034 - 6917) + chr(116) + chr(0b1010010 + 0o24) + '\x2d' + chr(0b100001 + 0o27))), xafqLlk3kkUe(SXOLrMavuUCe(b':\xb0.C\xafu\x12 `\x83'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(1638 - 1521) + '\164' + '\146' + chr(676 - 631) + chr(0b101010 + 0o16)))(EVVr9bEHclel)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/mscoco.py
|
mscoco_generator
|
def mscoco_generator(data_dir,
tmp_dir,
training,
how_many,
start_from=0,
eos_list=None,
vocab_filename=None):
"""Image generator for MSCOCO captioning problem with token-wise captions.
Args:
data_dir: path to the data directory.
tmp_dir: path to temporary storage directory.
training: a Boolean; if true, we use the train set, otherwise the test set.
how_many: how many images and labels to generate.
start_from: from which image to start.
eos_list: optional list of end of sentence tokens, otherwise use default
value `1`.
vocab_filename: file within `tmp_dir` to read vocabulary from.
Yields:
A dictionary representing the images with the following fields:
* image/encoded: the string encoding the image as JPEG,
* image/format: the string "jpeg" representing image format,
* image/class/label: a list of integers representing the caption,
* image/height: an integer representing the height,
* image/width: an integer representing the width.
Every field is actually a list of the corresponding type.
"""
eos_list = [1] if eos_list is None else eos_list
def get_vocab():
"""Get vocab for caption text encoder."""
if data_dir is not None and vocab_filename is not None:
vocab_filepath = os.path.join(data_dir, vocab_filename)
if tf.gfile.Exists(vocab_filepath):
tf.logging.info("Found vocab file: %s", vocab_filepath)
vocab_symbolizer = text_encoder.SubwordTextEncoder(vocab_filepath)
return vocab_symbolizer
else:
raise ValueError("Vocab file does not exist: %s" % vocab_filepath)
return None
vocab_symbolizer = get_vocab()
_get_mscoco(tmp_dir)
caption_filepath = (
_MSCOCO_TRAIN_CAPTION_FILE if training else _MSCOCO_EVAL_CAPTION_FILE)
caption_filepath = os.path.join(tmp_dir, caption_filepath)
prefix = _MSCOCO_TRAIN_PREFIX if training else _MSCOCO_EVAL_PREFIX
caption_file = io.open(caption_filepath)
caption_json = json.load(caption_file)
# Dictionary from image_id to ((filename, height, width), captions).
image_dict = {}
for image in caption_json["images"]:
image_dict[image["id"]] = [(image["file_name"], image["height"],
image["width"]), []]
annotations = caption_json["annotations"]
annotation_count = len(annotations)
image_count = len(image_dict)
tf.logging.info("Processing %d images and %d labels\n" % (image_count,
annotation_count))
for annotation in annotations:
image_id = annotation["image_id"]
image_dict[image_id][1].append(annotation["caption"])
data = list(image_dict.values())[start_from:start_from + how_many]
random.shuffle(data)
for image_info, labels in data:
image_filename = image_info[0]
image_filepath = os.path.join(tmp_dir, prefix, image_filename)
with tf.gfile.Open(image_filepath, "rb") as f:
encoded_image_data = f.read()
height, width = image_info[1], image_info[2]
for label in labels:
if vocab_filename is None or vocab_symbolizer is None:
label = [ord(c) for c in label] + eos_list
else:
label = vocab_symbolizer.encode(label) + eos_list
yield {
"image/encoded": [encoded_image_data],
"image/format": ["jpeg"],
"image/class/label": label,
"image/height": [height],
"image/width": [width]
}
|
python
|
def mscoco_generator(data_dir,
tmp_dir,
training,
how_many,
start_from=0,
eos_list=None,
vocab_filename=None):
"""Image generator for MSCOCO captioning problem with token-wise captions.
Args:
data_dir: path to the data directory.
tmp_dir: path to temporary storage directory.
training: a Boolean; if true, we use the train set, otherwise the test set.
how_many: how many images and labels to generate.
start_from: from which image to start.
eos_list: optional list of end of sentence tokens, otherwise use default
value `1`.
vocab_filename: file within `tmp_dir` to read vocabulary from.
Yields:
A dictionary representing the images with the following fields:
* image/encoded: the string encoding the image as JPEG,
* image/format: the string "jpeg" representing image format,
* image/class/label: a list of integers representing the caption,
* image/height: an integer representing the height,
* image/width: an integer representing the width.
Every field is actually a list of the corresponding type.
"""
eos_list = [1] if eos_list is None else eos_list
def get_vocab():
"""Get vocab for caption text encoder."""
if data_dir is not None and vocab_filename is not None:
vocab_filepath = os.path.join(data_dir, vocab_filename)
if tf.gfile.Exists(vocab_filepath):
tf.logging.info("Found vocab file: %s", vocab_filepath)
vocab_symbolizer = text_encoder.SubwordTextEncoder(vocab_filepath)
return vocab_symbolizer
else:
raise ValueError("Vocab file does not exist: %s" % vocab_filepath)
return None
vocab_symbolizer = get_vocab()
_get_mscoco(tmp_dir)
caption_filepath = (
_MSCOCO_TRAIN_CAPTION_FILE if training else _MSCOCO_EVAL_CAPTION_FILE)
caption_filepath = os.path.join(tmp_dir, caption_filepath)
prefix = _MSCOCO_TRAIN_PREFIX if training else _MSCOCO_EVAL_PREFIX
caption_file = io.open(caption_filepath)
caption_json = json.load(caption_file)
# Dictionary from image_id to ((filename, height, width), captions).
image_dict = {}
for image in caption_json["images"]:
image_dict[image["id"]] = [(image["file_name"], image["height"],
image["width"]), []]
annotations = caption_json["annotations"]
annotation_count = len(annotations)
image_count = len(image_dict)
tf.logging.info("Processing %d images and %d labels\n" % (image_count,
annotation_count))
for annotation in annotations:
image_id = annotation["image_id"]
image_dict[image_id][1].append(annotation["caption"])
data = list(image_dict.values())[start_from:start_from + how_many]
random.shuffle(data)
for image_info, labels in data:
image_filename = image_info[0]
image_filepath = os.path.join(tmp_dir, prefix, image_filename)
with tf.gfile.Open(image_filepath, "rb") as f:
encoded_image_data = f.read()
height, width = image_info[1], image_info[2]
for label in labels:
if vocab_filename is None or vocab_symbolizer is None:
label = [ord(c) for c in label] + eos_list
else:
label = vocab_symbolizer.encode(label) + eos_list
yield {
"image/encoded": [encoded_image_data],
"image/format": ["jpeg"],
"image/class/label": label,
"image/height": [height],
"image/width": [width]
}
|
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"}"
] |
Image generator for MSCOCO captioning problem with token-wise captions.
Args:
data_dir: path to the data directory.
tmp_dir: path to temporary storage directory.
training: a Boolean; if true, we use the train set, otherwise the test set.
how_many: how many images and labels to generate.
start_from: from which image to start.
eos_list: optional list of end of sentence tokens, otherwise use default
value `1`.
vocab_filename: file within `tmp_dir` to read vocabulary from.
Yields:
A dictionary representing the images with the following fields:
* image/encoded: the string encoding the image as JPEG,
* image/format: the string "jpeg" representing image format,
* image/class/label: a list of integers representing the caption,
* image/height: an integer representing the height,
* image/width: an integer representing the width.
Every field is actually a list of the corresponding type.
|
[
"Image",
"generator",
"for",
"MSCOCO",
"captioning",
"problem",
"with",
"token",
"-",
"wise",
"captions",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/mscoco.py#L60-L142
|
train
|
Image generator for MSCOCO captioning problem with token - wise captions.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + '\x32' + chr(0b100101 + 0o13) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1511 - 1463) + chr(0b1101111) + '\x33' + chr(0b110100) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(937 - 889) + chr(5351 - 5240) + chr(49) + chr(2433 - 2380) + chr(0b11000 + 0o34), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + '\x33' + chr(0b101100 + 0o6) + '\063', 52962 - 52954), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(478 - 425), 37170 - 37162), ehT0Px3KOsy9(chr(2163 - 2115) + chr(0b1000001 + 0o56) + chr(51) + chr(49) + chr(1463 - 1411), 61468 - 61460), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b101011 + 0o7) + '\x31', 39925 - 39917), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + '\x31' + chr(50) + chr(0b101111 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1338 - 1289) + chr(51) + chr(0b101101 + 0o3), 56419 - 56411), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(7709 - 7598) + chr(52) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(688 - 640) + chr(0b1001101 + 0o42) + chr(0b11110 + 0o25) + chr(54), 48432 - 48424), ehT0Px3KOsy9(chr(125 - 77) + '\157' + chr(0b101010 + 0o7) + chr(0b11111 + 0o24) + chr(1562 - 1508), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + chr(49) + chr(52) + chr(52), 0b1000), ehT0Px3KOsy9(chr(157 - 109) + chr(0b101110 + 0o101) + chr(0b110001) + '\x30' + chr(752 - 703), 0b1000), ehT0Px3KOsy9('\060' + chr(7273 - 7162) + chr(49) + chr(53) + chr(51), 17003 - 16995), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\061' + chr(0b1000 + 0o55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010001 + 0o36) + chr(49) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(51) + chr(52) + chr(0b1100 + 0o51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + '\x36' + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + chr(0b110010) + chr(0b110000) + chr(54), 0o10), ehT0Px3KOsy9(chr(909 - 861) + '\157' + chr(0b110001) + '\064' + chr(0b11100 + 0o31), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9220 - 9109) + '\x31' + chr(55) + chr(53), 27657 - 27649), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + chr(1648 - 1597) + chr(0b110000 + 0o2), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + '\x32' + chr(0b110010) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(5287 - 5176) + '\062' + chr(49) + chr(0b1011 + 0o50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011101 + 0o22) + chr(0b1 + 0o60) + chr(0b110 + 0o54) + chr(1500 - 1448), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + '\x33' + '\x35' + chr(0b100111 + 0o20), 0o10), ehT0Px3KOsy9('\x30' + chr(0b11000 + 0o127) + '\061' + chr(0b110010) + chr(576 - 523), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(1461 - 1411) + '\066' + chr(0b110000 + 0o1), 0o10), ehT0Px3KOsy9(chr(679 - 631) + '\157' + '\x33' + '\060' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(1703 - 1592) + chr(1159 - 1104), 6442 - 6434), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010111 + 0o30) + chr(51) + chr(0b110001) + chr(0b110011 + 0o0), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(50) + chr(858 - 810), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b110011), 65374 - 65366), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1000011 + 0o54) + chr(0b110101) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110 + 0o53) + chr(48) + '\061', 8), ehT0Px3KOsy9('\x30' + chr(111) + '\067' + chr(2337 - 2286), 0o10), ehT0Px3KOsy9(chr(694 - 646) + chr(5623 - 5512) + chr(0b110011) + chr(0b101100 + 0o10) + chr(324 - 275), 0o10), ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + chr(993 - 939) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(1780 - 1730) + chr(218 - 166) + '\067', 33834 - 33826)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101) + chr(0b100000 + 0o20), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9'), '\144' + '\x65' + chr(1165 - 1066) + chr(0b1100000 + 0o17) + '\x64' + chr(0b1100101))(chr(0b100 + 0o161) + chr(0b10001 + 0o143) + chr(0b1010011 + 0o23) + chr(187 - 142) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def YvdKyTMinKoG(kVFRD544hi_1, JsZ36NJUqtml, H15mhcYcioqz, HMrjUI4R_mvf, dPV5mRckKEXT=ehT0Px3KOsy9(chr(160 - 112) + '\157' + chr(0b1 + 0o57), 38814 - 38806), wH0XksGV0lgx=None, EwmY7ynOlhiF=None):
wH0XksGV0lgx = [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 0o10)] if wH0XksGV0lgx is None else wH0XksGV0lgx
def auzmJOBUpOwX():
if kVFRD544hi_1 is not None and EwmY7ynOlhiF is not None:
fZzpj6eSosQ9 = oqhJDdMJfuwx.path.join(kVFRD544hi_1, EwmY7ynOlhiF)
if xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\x9c\x05\xa0q\xbf'), '\x64' + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b1001110 + 0o47) + '\x74' + '\x66' + chr(0b100010 + 0o13) + '\x38'))(fZzpj6eSosQ9):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xd3$\xabp\xaf\xf6b2OD5'), chr(0b1100100) + chr(0b101111 + 0o66) + chr(99) + chr(0b1101111) + '\144' + chr(101))(chr(117) + chr(0b1110100) + chr(102) + chr(0b100010 + 0o13) + chr(0b110 + 0o62)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\x8b\x19\xbda\xec\xe7:;B|~\x02(\x07(2\xc5\x15\xf5'), '\x64' + '\145' + chr(99) + chr(111) + '\x64' + chr(0b1001100 + 0o31))('\165' + '\164' + '\146' + chr(45) + '\070'), fZzpj6eSosQ9)
oEy5exls4zF9 = nCRDzZ_Is9fz.SubwordTextEncoder(fZzpj6eSosQ9)
return oEy5exls4zF9
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x8b\x0f\xb2g\xec\xf7<4F>:\x0b$\x18mf\x8aD\xa6\x00\x05s\xe4\xffn\xcfp\xc2'), chr(8969 - 8869) + chr(0b1100101) + chr(99) + chr(111) + '\x64' + '\x65')('\165' + chr(0b1011010 + 0o32) + chr(102) + '\055' + chr(0b111000)) % fZzpj6eSosQ9)
return None
oEy5exls4zF9 = auzmJOBUpOwX()
tPtzSxAlqiwn(JsZ36NJUqtml)
CROnTCc80cRh = KaGdkoNUv0dU if H15mhcYcioqz else qBLXAYp3fkqD
CROnTCc80cRh = oqhJDdMJfuwx.path.join(JsZ36NJUqtml, CROnTCc80cRh)
K1Ha0XjJTAE7 = CiYJr4VrcUts if H15mhcYcioqz else TxGCrdp4QcWQ
MMB_I82zaseq = Bey9a5LqdaFa.open(CROnTCc80cRh)
UERMFweG55uD = fXk443epxtd5.mxtdQMeiwJZJ(MMB_I82zaseq)
WWst2emE6DEv = {}
for IdmAHWfCqrnp in UERMFweG55uD[xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x89\r\xb4`\xbf'), chr(0b110 + 0o136) + '\145' + '\143' + chr(111) + chr(3655 - 3555) + chr(4044 - 3943))('\x75' + chr(116) + chr(10256 - 10154) + '\x2d' + chr(0b100001 + 0o27))]:
WWst2emE6DEv[IdmAHWfCqrnp[xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x80'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\157' + chr(8178 - 8078) + chr(101))(chr(0b1101111 + 0o6) + '\164' + chr(8631 - 8529) + chr(0b101101) + chr(2338 - 2282))]] = [(IdmAHWfCqrnp[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\x8d\x00\xb6Z\xa2\xf08='), chr(100) + chr(0b100001 + 0o104) + '\143' + '\157' + '\144' + chr(101))(chr(117) + chr(12170 - 12054) + chr(0b1011111 + 0o7) + '\055' + chr(2032 - 1976))], IdmAHWfCqrnp[xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\x81\x05\xb4m\xb8'), chr(0b111000 + 0o54) + chr(0b1100101) + chr(99) + chr(111) + chr(4945 - 4845) + chr(4949 - 4848))(chr(0b1110101) + chr(0b1110100) + chr(9762 - 9660) + '\x2d' + chr(56))], IdmAHWfCqrnp[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\x8d\x08\xa7m'), chr(100) + chr(0b1000101 + 0o40) + chr(1338 - 1239) + chr(0b1101111) + '\x64' + chr(0b1001011 + 0o32))(chr(0b1110101) + chr(0b101010 + 0o112) + '\146' + chr(905 - 860) + chr(0b100010 + 0o26))]), []]
zvbVkvaN64xd = UERMFweG55uD[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x8a\x02\xbcq\xad\xe5<7Mm'), chr(0b1100100) + chr(101) + chr(4413 - 4314) + chr(4653 - 4542) + chr(2632 - 2532) + chr(6706 - 6605))('\x75' + chr(0b1110100) + '\x66' + chr(45) + chr(56))]
APwlpTDdkX6R = c2A0yzQpDQB3(zvbVkvaN64xd)
ST4nJzLQDlqU = c2A0yzQpDQB3(WWst2emE6DEv)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xd3$\xabp\xaf\xf6b2OD5'), chr(903 - 803) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\x64' + '\145')('\x75' + chr(0b11000 + 0o134) + '\146' + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\x96\x03\xb0`\xbf\xe2<6D>{\x00a\x02 i\x82U\xf5E\x1ct\xf3\xabq\x8bu\xdd\xa7e\xae\xbc` '), chr(2387 - 2287) + chr(0b1100101) + '\143' + chr(111) + '\x64' + '\x65')(chr(0b1110101) + chr(9939 - 9823) + chr(8352 - 8250) + chr(45) + chr(0b111 + 0o61)) % (ST4nJzLQDlqU, APwlpTDdkX6R))
for vIc_73L45y1x in zvbVkvaN64xd:
ni4Ki6nS9CjS = vIc_73L45y1x[xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x89\r\xb4`\x93\xf81'), chr(0b111011 + 0o51) + '\145' + '\143' + chr(0b1010100 + 0o33) + '\144' + chr(0b1100101))('\165' + '\164' + '\x66' + chr(0b101010 + 0o3) + chr(1409 - 1353))]
xafqLlk3kkUe(WWst2emE6DEv[ni4Ki6nS9CjS][ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1010 + 0o47), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x94\x1c\xb6k\xa8'), chr(1012 - 912) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(3182 - 3082) + '\145')(chr(0b101000 + 0o115) + '\164' + chr(0b10110 + 0o120) + chr(0b1000 + 0o45) + chr(0b101 + 0o63)))(vIc_73L45y1x[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\x85\x1c\xa7l\xa3\xff'), '\144' + chr(101) + '\x63' + chr(111) + chr(0b10 + 0o142) + chr(8710 - 8609))('\165' + '\x74' + chr(9939 - 9837) + chr(0b101101) + '\x38')])
ULnjp6D6efFH = YyaZ4tpXu4lf(WWst2emE6DEv.SPnCNu54H1db())[dPV5mRckKEXT:dPV5mRckKEXT + HMrjUI4R_mvf]
xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x8c\x19\xb5c\xa0\xf4'), '\144' + chr(0b101111 + 0o66) + chr(0b1100001 + 0o2) + chr(8749 - 8638) + chr(7543 - 7443) + chr(0b1100101))(chr(117) + chr(116) + chr(0b100001 + 0o105) + chr(0b101101) + chr(1447 - 1391)))(ULnjp6D6efFH)
for (Aye2LFJI5KQk, uXMK81tmdpTM) in ULnjp6D6efFH:
xbXofT5JqYkg = Aye2LFJI5KQk[ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + '\060', 8)]
cG9w5FYrXCfh = oqhJDdMJfuwx.path.join(JsZ36NJUqtml, K1Ha0XjJTAE7, xbXofT5JqYkg)
with xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\x94\t\xbd'), '\144' + '\x65' + chr(99) + '\157' + '\x64' + chr(0b101100 + 0o71))('\x75' + chr(116) + '\x66' + chr(649 - 604) + chr(56)))(cG9w5FYrXCfh, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\x86'), chr(0b1011000 + 0o14) + chr(0b1100101) + chr(2690 - 2591) + chr(0b110001 + 0o76) + chr(0b1010010 + 0o22) + chr(101))(chr(117) + chr(0b101000 + 0o114) + '\x66' + chr(45) + chr(1010 - 954))) as EGyt1xfPT1P6:
gxa__u31k5BP = EGyt1xfPT1P6.U6MiWrhuCi2Y()
(ehbUULKuygfC, mPx09rBTrGXR) = (Aye2LFJI5KQk[ehT0Px3KOsy9('\x30' + '\157' + '\061', 8)], Aye2LFJI5KQk[ehT0Px3KOsy9('\x30' + '\x6f' + '\062', ord("\x08"))])
for TRUOLFLuD08x in uXMK81tmdpTM:
if EwmY7ynOlhiF is None or oEy5exls4zF9 is None:
TRUOLFLuD08x = [Jp8aZ6mjyZZT(qzn1Ctg9WgNh) for qzn1Ctg9WgNh in TRUOLFLuD08x] + wH0XksGV0lgx
else:
TRUOLFLuD08x = oEy5exls4zF9.encode(TRUOLFLuD08x) + wH0XksGV0lgx
yield {xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x89\r\xb4`\xe3\xf4;;Lz;\x00'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(116) + '\x66' + '\x2d' + chr(0b111000)): [gxa__u31k5BP], xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x89\r\xb4`\xe3\xf7:*N\x7f*'), '\144' + chr(0b1100101) + chr(99) + chr(0b1011110 + 0o21) + '\144' + '\x65')(chr(117) + '\x74' + '\146' + chr(1834 - 1789) + chr(56)): [xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\x94\t\xb4'), chr(7599 - 7499) + chr(0b1100101) + chr(0b1100011) + chr(3618 - 3507) + chr(9442 - 9342) + '\x65')(chr(0b110011 + 0o102) + chr(116) + chr(0b111101 + 0o51) + '\x2d' + chr(0b111000))], xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x89\r\xb4`\xe3\xf299Pmq\x08 \t(d'), chr(0b1011111 + 0o5) + '\x65' + chr(0b1100000 + 0o3) + '\x6f' + '\x64' + chr(0b1100101))(chr(0b11101 + 0o130) + chr(0b1110100) + chr(0b11110 + 0o110) + chr(45) + chr(2591 - 2535)): TRUOLFLuD08x, xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x89\r\xb4`\xe3\xf901Dv*'), '\144' + chr(101) + '\143' + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + chr(6572 - 6456) + '\x66' + '\x2d' + chr(0b111000)): [ehbUULKuygfC], xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\x89\r\xb4`\xe3\xe6<<Wv'), chr(0b10111 + 0o115) + chr(101) + chr(99) + chr(0b111101 + 0o62) + chr(0b110 + 0o136) + '\x65')(chr(2010 - 1893) + '\x74' + '\146' + '\055' + chr(144 - 88)): [mPx09rBTrGXR]}
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/cloud_mlengine.py
|
flags_as_args
|
def flags_as_args():
"""Convert FLAGS to list of args suitable for passing on cmd line."""
if hasattr(FLAGS, "flag_values_dict"):
args_dict = FLAGS.flag_values_dict()
else:
args_dict = dict(FLAGS.__dict__["__flags"])
del args_dict["cloud_mlengine"]
# Configured later
del args_dict["t2t_usr_dir"]
args_dict.pop("h", None)
args_dict.pop("helpfull", None)
args_dict.pop("helpshort", None)
args_dict.pop("help", None)
args = []
for name, val in args_dict.items():
if val is None:
continue
if name.startswith("autotune"):
continue
args.extend(["--%s=%s" % (name, str(val))])
return args
|
python
|
def flags_as_args():
"""Convert FLAGS to list of args suitable for passing on cmd line."""
if hasattr(FLAGS, "flag_values_dict"):
args_dict = FLAGS.flag_values_dict()
else:
args_dict = dict(FLAGS.__dict__["__flags"])
del args_dict["cloud_mlengine"]
# Configured later
del args_dict["t2t_usr_dir"]
args_dict.pop("h", None)
args_dict.pop("helpfull", None)
args_dict.pop("helpshort", None)
args_dict.pop("help", None)
args = []
for name, val in args_dict.items():
if val is None:
continue
if name.startswith("autotune"):
continue
args.extend(["--%s=%s" % (name, str(val))])
return args
|
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] |
Convert FLAGS to list of args suitable for passing on cmd line.
|
[
"Convert",
"FLAGS",
"to",
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"of",
"args",
"suitable",
"for",
"passing",
"on",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/cloud_mlengine.py#L93-L113
|
train
|
Convert FLAGS to list of args suitable for passing on cmd line.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(10123 - 10012) + '\061' + chr(0b110011) + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\066' + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1111 + 0o44) + chr(0b110111) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b110000) + chr(1550 - 1496), 0b1000), ehT0Px3KOsy9(chr(884 - 836) + '\x6f' + chr(724 - 673) + chr(0b110110) + chr(1886 - 1832), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + '\063' + chr(51) + chr(1370 - 1319), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(0b10010 + 0o41) + chr(0b110100) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101111 + 0o3) + '\x31' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1781 - 1729) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(965 - 913) + chr(0b110001), 40295 - 40287), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b10001 + 0o46) + '\066', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110 + 0o60) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(867 - 819) + chr(0b10001 + 0o136) + '\062' + chr(0b110111) + chr(52), 29873 - 29865), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b0 + 0o63) + chr(48) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b10 + 0o65) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101000 + 0o13) + chr(54) + '\064', 0o10), ehT0Px3KOsy9(chr(1076 - 1028) + '\x6f' + chr(0b100 + 0o57) + '\062' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b101100 + 0o13) + '\x31', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1330 - 1279) + chr(0b10101 + 0o40) + '\060', 1087 - 1079), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(50) + '\x32' + chr(0b101011 + 0o6), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(978 - 927) + chr(0b11101 + 0o25) + chr(0b110011), 39962 - 39954), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + '\x31' + chr(1025 - 972) + chr(0b1000 + 0o50), 43898 - 43890), ehT0Px3KOsy9(chr(1801 - 1753) + chr(0b100010 + 0o115) + chr(0b101001 + 0o10) + chr(0b10111 + 0o35) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + '\066', 40895 - 40887), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(1047 - 999) + chr(1584 - 1535), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b10000 + 0o42) + '\x30' + chr(0b101110 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\061' + chr(102 - 49) + chr(1537 - 1489), 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1100000 + 0o17) + chr(0b110010) + chr(0b110101) + chr(621 - 566), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(497 - 445) + chr(0b10 + 0o62), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11100 + 0o26) + chr(0b110111) + chr(54), 8), ehT0Px3KOsy9(chr(48) + chr(3061 - 2950) + chr(622 - 573) + '\060' + '\065', 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(1070 - 959) + chr(50) + chr(0b101000 + 0o17), 0o10), ehT0Px3KOsy9(chr(1432 - 1384) + '\157' + '\x33' + chr(1755 - 1702), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1001000 + 0o47) + chr(0b110011) + chr(49) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\067' + chr(0b101100 + 0o11), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001101 + 0o42) + chr(1484 - 1429) + chr(1500 - 1447), 0o10), ehT0Px3KOsy9(chr(234 - 186) + chr(0b110100 + 0o73) + chr(50) + chr(1733 - 1684), 8), ehT0Px3KOsy9('\x30' + chr(0b111000 + 0o67) + chr(51) + chr(0b110001) + chr(51), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1262 - 1214) + chr(0b111011 + 0o64) + chr(53) + chr(0b101100 + 0o4), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b't'), '\x64' + chr(0b1100101) + chr(8116 - 8017) + chr(111) + chr(6649 - 6549) + '\x65')(chr(0b1001111 + 0o46) + chr(0b1110100) + chr(0b1011101 + 0o11) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def fEkyLicna_FG():
if lot1PSoAwYhj(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xdb\x9f\xa1\xa9\xad\x82\xe5P\x04\x8dk\xd8\xadr\xca'), chr(100) + chr(0b1100101) + '\x63' + chr(111) + '\144' + '\x65')(chr(117) + chr(0b1110100) + chr(3060 - 2958) + chr(0b101101) + '\x38')):
GNfPaS0uNpwU = vUTZFbqN0o8F.flag_values_dict()
else:
GNfPaS0uNpwU = wLqBDw8l0eIm(vUTZFbqN0o8F.uKB5Y2EEqIKI[xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xe8\x98\xaa\x97\xbc\x90'), '\144' + chr(101) + '\143' + '\x6f' + chr(100) + chr(0b1100101))(chr(10009 - 9892) + chr(0b10001 + 0o143) + '\x66' + '\x2d' + chr(842 - 786))])
del GNfPaS0uNpwU[xafqLlk3kkUe(SXOLrMavuUCe(b'9\xdb\x91\xb3\x92\x84\x8e\xe5@\x0f\x99]\xd2\xa1'), '\x64' + '\145' + chr(0b1100011) + '\x6f' + chr(0b1001000 + 0o34) + chr(0b1100101))(chr(0b111100 + 0o71) + chr(4929 - 4813) + chr(0b110011 + 0o63) + chr(45) + chr(0b111000))]
del GNfPaS0uNpwU[xafqLlk3kkUe(SXOLrMavuUCe(b'.\x85\x8a\x99\x83\xa8\x91\xd6A\x08\x8c'), '\144' + chr(101) + '\x63' + chr(0b1101010 + 0o5) + chr(0b100110 + 0o76) + chr(0b1000000 + 0o45))('\x75' + chr(116) + '\x66' + '\x2d' + chr(0b111000))]
xafqLlk3kkUe(GNfPaS0uNpwU, xafqLlk3kkUe(SXOLrMavuUCe(b'*\xd8\x8e'), '\x64' + chr(0b1011001 + 0o14) + chr(0b110101 + 0o56) + chr(111) + chr(100) + chr(0b1010010 + 0o23))('\x75' + chr(116) + chr(102) + chr(0b1001 + 0o44) + chr(0b111000 + 0o0)))(xafqLlk3kkUe(SXOLrMavuUCe(b'2'), '\144' + chr(827 - 726) + chr(99) + chr(111) + '\x64' + '\145')('\x75' + chr(0b1001101 + 0o47) + '\146' + '\055' + chr(0b110110 + 0o2)), None)
xafqLlk3kkUe(GNfPaS0uNpwU, xafqLlk3kkUe(SXOLrMavuUCe(b'*\xd8\x8e'), chr(4301 - 4201) + '\x65' + chr(99) + chr(0b1011110 + 0o21) + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + chr(0b1100001 + 0o5) + chr(523 - 478) + chr(1754 - 1698)))(xafqLlk3kkUe(SXOLrMavuUCe(b'2\xd2\x92\xb6\x90\xae\x8f\xe5'), chr(0b100010 + 0o102) + '\145' + chr(99) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + '\x74' + '\146' + chr(45) + chr(0b111000)), None)
xafqLlk3kkUe(GNfPaS0uNpwU, xafqLlk3kkUe(SXOLrMavuUCe(b'*\xd8\x8e'), '\144' + chr(2911 - 2810) + chr(0b111 + 0o134) + chr(8755 - 8644) + chr(0b1100100) + chr(101))(chr(13205 - 13088) + '\x74' + '\146' + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'2\xd2\x92\xb6\x85\xb3\x8c\xfbQ'), chr(0b101001 + 0o73) + chr(101) + chr(0b1001010 + 0o31) + chr(111) + chr(4184 - 4084) + chr(2342 - 2241))(chr(0b1110101) + '\x74' + chr(9013 - 8911) + chr(45) + chr(0b111000)), None)
xafqLlk3kkUe(GNfPaS0uNpwU, xafqLlk3kkUe(SXOLrMavuUCe(b'*\xd8\x8e'), chr(0b10 + 0o142) + chr(101) + chr(0b1100011) + '\157' + chr(1375 - 1275) + '\x65')(chr(0b1110101) + chr(0b1100011 + 0o21) + chr(0b10000 + 0o126) + '\x2d' + chr(0b0 + 0o70)))(xafqLlk3kkUe(SXOLrMavuUCe(b'2\xd2\x92\xb6'), '\144' + chr(101) + '\143' + chr(0b1001010 + 0o45) + '\144' + chr(0b1100101))(chr(117) + '\x74' + '\146' + chr(0b10110 + 0o27) + '\070'), None)
kJDRfRhcZHjS = []
for (AIvJRzLdDfgF, pQxH2D_k9sXQ) in xafqLlk3kkUe(GNfPaS0uNpwU, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xcd\x88\xa3\xbf\x81\xd0\xc0I2\xb6\r'), chr(643 - 543) + chr(101) + chr(99) + '\157' + chr(2025 - 1925) + chr(0b1100101))('\165' + chr(116) + chr(102) + chr(1487 - 1442) + chr(1332 - 1276)))():
if pQxH2D_k9sXQ is None:
continue
if xafqLlk3kkUe(AIvJRzLdDfgF, xafqLlk3kkUe(SXOLrMavuUCe(b')\xc3\x9f\xb4\x82\xa8\x94\xe0Q\t'), chr(100) + '\145' + chr(6347 - 6248) + chr(111) + chr(0b1100100) + '\x65')(chr(3668 - 3551) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b10111 + 0o41)))(xafqLlk3kkUe(SXOLrMavuUCe(b';\xc2\x8a\xa9\x82\xae\x8d\xec'), chr(2628 - 2528) + chr(101) + chr(770 - 671) + chr(0b1 + 0o156) + chr(6932 - 6832) + chr(0b101001 + 0o74))('\x75' + chr(0b1110100) + '\x66' + '\055' + chr(0b111000))):
continue
xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'?\xcf\x8a\xa3\x98\xbf'), chr(7449 - 7349) + '\x65' + chr(99) + chr(0b1101111) + chr(100) + '\x65')(chr(8996 - 8879) + '\164' + chr(0b110100 + 0o62) + chr(378 - 333) + chr(56)))([xafqLlk3kkUe(SXOLrMavuUCe(b'w\x9a\xdb\xb5\xcb\xfe\x90'), '\x64' + chr(8087 - 7986) + chr(0b1100011) + chr(111) + '\x64' + chr(1710 - 1609))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b101101) + '\x38') % (AIvJRzLdDfgF, M8_cKLkHVB2V(pQxH2D_k9sXQ))])
return kJDRfRhcZHjS
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/cloud_mlengine.py
|
get_default_master_type
|
def get_default_master_type(num_gpus=1):
"""Returns master_type for trainingInput."""
gpus_to_master_map = {
0: "standard",
1: "standard_p100",
4: "complex_model_m_p100",
8: "complex_model_l_gpu",
}
if num_gpus not in gpus_to_master_map:
raise ValueError("Num gpus must be in %s" %
str(sorted(list(gpus_to_master_map.keys()))))
return gpus_to_master_map[num_gpus]
|
python
|
def get_default_master_type(num_gpus=1):
"""Returns master_type for trainingInput."""
gpus_to_master_map = {
0: "standard",
1: "standard_p100",
4: "complex_model_m_p100",
8: "complex_model_l_gpu",
}
if num_gpus not in gpus_to_master_map:
raise ValueError("Num gpus must be in %s" %
str(sorted(list(gpus_to_master_map.keys()))))
return gpus_to_master_map[num_gpus]
|
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] |
Returns master_type for trainingInput.
|
[
"Returns",
"master_type",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/cloud_mlengine.py#L116-L127
|
train
|
Returns master_type for trainingInput.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(4766 - 4655) + '\x33' + chr(52) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\067' + '\062', 63350 - 63342), ehT0Px3KOsy9(chr(48) + chr(516 - 405) + chr(0b110001) + '\062' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(283 - 229) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + chr(1343 - 1294) + '\062' + '\065', 29042 - 29034), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(2369 - 2316), 41804 - 41796), ehT0Px3KOsy9(chr(1791 - 1743) + chr(0b1101111) + chr(50) + chr(0b110001 + 0o1), 20105 - 20097), ehT0Px3KOsy9(chr(1452 - 1404) + '\157' + '\063' + '\062' + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + chr(51) + chr(0b110101) + chr(1559 - 1505), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(51) + chr(0b10101 + 0o34), 0o10), ehT0Px3KOsy9(chr(1992 - 1944) + chr(0b1101111) + chr(51) + chr(53), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1012 - 963) + chr(210 - 158) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11111 + 0o23) + '\x33' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x36' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\x32' + '\067' + '\062', 41261 - 41253), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b110011) + chr(0b110100) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(50) + chr(0b1 + 0o57) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1577 - 1466) + chr(49) + chr(0b10001 + 0o41) + chr(2362 - 2311), 0o10), ehT0Px3KOsy9(chr(1823 - 1775) + chr(111) + chr(0b0 + 0o63) + chr(0b10010 + 0o36) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + '\064' + chr(0b101001 + 0o15), 6302 - 6294), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1011 + 0o47) + chr(48) + chr(1571 - 1522), 35208 - 35200), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(2552 - 2497) + '\x36', 5242 - 5234), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(369 - 320) + chr(0b110100) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\x33' + chr(0b10010 + 0o42), 42543 - 42535), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(0b111 + 0o53) + chr(52) + '\065', 44289 - 44281), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b1000 + 0o50) + chr(0b101101 + 0o7), 51185 - 51177), ehT0Px3KOsy9(chr(48) + chr(0b1000001 + 0o56) + chr(2034 - 1983) + '\064' + chr(0b110110), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100000 + 0o21) + chr(2671 - 2619) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(0b110010) + '\062' + chr(0b101100 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b111100 + 0o63) + chr(0b11000 + 0o30), 48774 - 48766), ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + '\062' + chr(2160 - 2106), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(49) + '\x33' + '\063', 51305 - 51297), ehT0Px3KOsy9(chr(0b110000) + chr(5246 - 5135) + '\061' + '\062' + chr(61 - 9), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b110001) + chr(0b101011 + 0o12) + chr(48), 29600 - 29592), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\064', 50893 - 50885), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b100100 + 0o17) + '\066', 0b1000), ehT0Px3KOsy9(chr(1501 - 1453) + chr(0b11100 + 0o123) + chr(0b110011) + chr(51) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(3556 - 3445) + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + chr(0b1 + 0o156) + '\062' + chr(52) + '\065', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(864 - 813) + chr(0b100011 + 0o22), 20060 - 20052)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(825 - 777) + chr(0b1010000 + 0o37) + chr(0b100001 + 0o24) + chr(0b0 + 0o60), 32445 - 32437)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8'), chr(0b1100100) + '\x65' + '\x63' + '\157' + chr(100) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b1000 + 0o60)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def H9JmNe79Ro2y(zcNH1ym8cZBx=ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + '\061', 0o10)):
dWpO7vI0T7kH = {ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(48), 8): xafqLlk3kkUe(SXOLrMavuUCe(b'\x95N3\x191|`\xb5'), '\144' + chr(190 - 89) + chr(6342 - 6243) + chr(3644 - 3533) + chr(100) + chr(0b111100 + 0o51))(chr(2124 - 2007) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b110001 + 0o7)), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061', 8): xafqLlk3kkUe(SXOLrMavuUCe(b'\x95N3\x191|`\xb5\xb1),P\xa9'), chr(0b1100100) + chr(101) + chr(99) + chr(0b1101111) + chr(791 - 691) + chr(1415 - 1314))('\x75' + '\x74' + chr(0b111101 + 0o51) + chr(0b110 + 0o47) + '\x38'), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110100), ord("\x08")): xafqLlk3kkUe(SXOLrMavuUCe(b'\x85U?\x079xj\x8e\x836y\x05\xf5j\xd7\xbe\xf0b\xf5\x16'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b101001 + 0o106) + chr(6044 - 5944) + '\x65')(chr(117) + chr(0b101100 + 0o110) + chr(0b11011 + 0o113) + chr(45) + chr(56)), ehT0Px3KOsy9(chr(0b110000) + chr(10417 - 10306) + chr(0b101011 + 0o6) + chr(48), 0o10): xafqLlk3kkUe(SXOLrMavuUCe(b'\x85U?\x079xj\x8e\x836y\x05\xf5j\xd6\xbe\xe7#\xb0'), chr(0b1100100) + chr(101) + chr(0b1011110 + 0o5) + chr(0b1101100 + 0o3) + chr(100) + chr(0b11001 + 0o114))('\165' + '\164' + chr(0b1100110) + chr(0b1110 + 0o37) + '\x38')}
if zcNH1ym8cZBx not in dWpO7vI0T7kH:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8O?W2mg\xa2\xce4h\x13\xed\x15\xd8\x84\xa0:\xab\x06\xa4\x8d'), '\x64' + chr(0b1011001 + 0o14) + '\143' + chr(0b1000010 + 0o55) + '\144' + chr(5533 - 5432))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b0 + 0o55) + '\070') % M8_cKLkHVB2V(vUlqIvNSaRMa(YyaZ4tpXu4lf(xafqLlk3kkUe(dWpO7vI0T7kH, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d_+\x04'), chr(9947 - 9847) + '\145' + '\143' + chr(0b1101111) + chr(100) + chr(101))(chr(785 - 668) + '\x74' + '\x66' + chr(45) + chr(0b111000)))()))))
return dWpO7vI0T7kH[zcNH1ym8cZBx]
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/cloud_mlengine.py
|
configure_job
|
def configure_job():
"""Construct jobSpec for ML Engine job."""
# See documentation:
# https://cloud.google.com/ml-engine/reference/rest/v1/projects.jobs#traininginput
training_input = {
"pythonModule": "tensor2tensor.bin.t2t_trainer",
"args": flags_as_args(),
"region": text_encoder.native_to_unicode(default_region()),
"runtimeVersion": RUNTIME_VERSION,
"pythonVersion": "3.5" if sys.version_info.major == 3 else "2.7",
"jobDir": FLAGS.output_dir,
"scaleTier": "CUSTOM",
"masterType": FLAGS.cloud_mlengine_master_type or get_default_master_type(
num_gpus=FLAGS.worker_gpu)
}
if FLAGS.use_tpu:
training_input["masterType"] = (FLAGS.cloud_mlengine_master_type or
"standard")
training_input["workerType"] = "cloud_tpu"
training_input["workerCount"] = 1
if FLAGS.hparams_range:
tf.logging.info("Configuring hyperparameter tuning.")
training_input["hyperparameters"] = configure_autotune(
FLAGS.hparams_range,
FLAGS.autotune_objective,
FLAGS.autotune_maximize,
FLAGS.autotune_max_trials,
FLAGS.autotune_parallel_trials,
)
timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
job_spec = {
"jobId": "%s_%s_t2t_%s" % (FLAGS.model, FLAGS.problem, timestamp),
"labels": {
"model": FLAGS.model,
"problem": FLAGS.problem,
"hparams": FLAGS.hparams_set
},
"trainingInput": training_input,
}
return job_spec
|
python
|
def configure_job():
"""Construct jobSpec for ML Engine job."""
# See documentation:
# https://cloud.google.com/ml-engine/reference/rest/v1/projects.jobs#traininginput
training_input = {
"pythonModule": "tensor2tensor.bin.t2t_trainer",
"args": flags_as_args(),
"region": text_encoder.native_to_unicode(default_region()),
"runtimeVersion": RUNTIME_VERSION,
"pythonVersion": "3.5" if sys.version_info.major == 3 else "2.7",
"jobDir": FLAGS.output_dir,
"scaleTier": "CUSTOM",
"masterType": FLAGS.cloud_mlengine_master_type or get_default_master_type(
num_gpus=FLAGS.worker_gpu)
}
if FLAGS.use_tpu:
training_input["masterType"] = (FLAGS.cloud_mlengine_master_type or
"standard")
training_input["workerType"] = "cloud_tpu"
training_input["workerCount"] = 1
if FLAGS.hparams_range:
tf.logging.info("Configuring hyperparameter tuning.")
training_input["hyperparameters"] = configure_autotune(
FLAGS.hparams_range,
FLAGS.autotune_objective,
FLAGS.autotune_maximize,
FLAGS.autotune_max_trials,
FLAGS.autotune_parallel_trials,
)
timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
job_spec = {
"jobId": "%s_%s_t2t_%s" % (FLAGS.model, FLAGS.problem, timestamp),
"labels": {
"model": FLAGS.model,
"problem": FLAGS.problem,
"hparams": FLAGS.hparams_set
},
"trainingInput": training_input,
}
return job_spec
|
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] |
Construct jobSpec for ML Engine job.
|
[
"Construct",
"jobSpec",
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"job",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/cloud_mlengine.py#L130-L170
|
train
|
Construct jobSpec for ML Engine job.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\x33' + chr(52) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(1182 - 1129) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6598 - 6487) + chr(51) + chr(49) + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1001 + 0o52) + chr(0b110111) + chr(0b11000 + 0o37), 0b1000), ehT0Px3KOsy9('\x30' + chr(6658 - 6547) + chr(1578 - 1528) + chr(51) + '\064', 33163 - 33155), ehT0Px3KOsy9(chr(1510 - 1462) + chr(0b10 + 0o155) + chr(0b101000 + 0o13) + chr(0b110011) + chr(0b11111 + 0o27), 0b1000), ehT0Px3KOsy9(chr(2285 - 2237) + '\157' + chr(0b110011) + chr(0b100 + 0o63) + chr(0b110111), 8), ehT0Px3KOsy9(chr(1566 - 1518) + chr(0b1000111 + 0o50) + chr(0b110011) + '\x34' + '\x30', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110101) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(51) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\067' + chr(0b1001 + 0o56), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + chr(0b110010) + chr(0b101101 + 0o10) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(494 - 442) + chr(0b100001 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(2207 - 2159) + chr(0b1101111) + chr(87 - 36) + '\061' + chr(0b110000 + 0o3), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011011 + 0o24) + chr(49) + chr(0b101100 + 0o10), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(0b110101) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\x33' + chr(0b10110 + 0o34) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(55) + chr(0b10 + 0o56), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101000 + 0o7) + chr(51) + '\067' + chr(0b110110), 10185 - 10177), ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + chr(0b100010 + 0o21) + chr(0b10001 + 0o42) + chr(1667 - 1615), 55461 - 55453), ehT0Px3KOsy9(chr(48) + chr(0b11100 + 0o123) + chr(358 - 308) + chr(54) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11001 + 0o31) + chr(0b101000 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(2645 - 2593) + chr(0b1 + 0o60), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100011 + 0o14) + chr(0b110010) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10733 - 10622) + chr(0b110010) + '\067' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + chr(49) + '\062' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100000 + 0o22) + chr(0b110010) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(0b100010 + 0o17) + chr(0b110011) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + '\x32' + '\063' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + chr(49) + chr(0b110110 + 0o0) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\063' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111 + 0o0) + chr(0b100110 + 0o14) + chr(0b100110 + 0o21) + chr(2140 - 2088), 46631 - 46623), ehT0Px3KOsy9(chr(2203 - 2155) + chr(0b11100 + 0o123) + chr(0b11110 + 0o23) + chr(476 - 427) + chr(0b100000 + 0o20), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1 + 0o60) + chr(175 - 127) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(3035 - 2924) + chr(50) + chr(629 - 581) + chr(0b100 + 0o63), ord("\x08")), ehT0Px3KOsy9(chr(1337 - 1289) + chr(111) + chr(0b110011) + '\x34' + '\x31', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b110111), 19805 - 19797), ehT0Px3KOsy9('\060' + chr(1109 - 998) + chr(0b110001) + chr(0b110010) + '\063', 8), ehT0Px3KOsy9(chr(706 - 658) + chr(0b101000 + 0o107) + '\x32' + chr(48) + chr(0b1011 + 0o50), 38339 - 38331), ehT0Px3KOsy9(chr(388 - 340) + '\x6f' + '\x35' + chr(48), 24088 - 24080)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(628 - 580) + chr(0b1010110 + 0o31) + '\x35' + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xce'), chr(0b1011100 + 0o10) + chr(0b1100101) + chr(99) + '\157' + chr(1202 - 1102) + chr(3481 - 3380))(chr(0b1110011 + 0o2) + '\x74' + chr(102) + chr(0b11 + 0o52) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Ih_EYvKtUJx5():
AkExH9g3XjiJ = {xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x96\xba\x97\xf3\xb0\xb2\x8f\xce\xae\xd3\xcb'), chr(100) + chr(775 - 674) + '\143' + '\x6f' + '\x64' + '\x65')(chr(0b1010111 + 0o36) + chr(0b100010 + 0o122) + chr(0b1100110) + chr(983 - 938) + chr(56)): xafqLlk3kkUe(SXOLrMavuUCe(b'\x94\x8a\xa0\x8c\xf3\xac\xcd\x94\xcf\xb5\xcc\xc1\x13\xe5nE\xbf\x16\x8a\xee\xc2H\x95d\xdc:\xff=\xed'), '\144' + '\145' + chr(99) + chr(7047 - 6936) + chr(100) + chr(6494 - 6393))(chr(1057 - 940) + chr(0b1110100) + chr(0b111000 + 0o56) + chr(0b101101) + chr(0b111 + 0o61)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\x9d\xa9\x8c'), '\144' + '\145' + chr(99) + '\x6f' + '\144' + '\x65')('\x75' + '\x74' + '\146' + chr(0b101101) + chr(56)): fEkyLicna_FG(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\x8a\xa9\x96\xf3\xb0'), chr(0b1100100) + chr(0b1100101) + chr(3274 - 3175) + chr(8995 - 8884) + '\x64' + chr(0b1011100 + 0o11))(chr(8580 - 8463) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(56)): nCRDzZ_Is9fz.native_to_unicode(tEOxMSrjJdn6()), xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\x9a\xa0\x8b\xf5\xb3\x9a\xb6\xcf\xa9\xcc\xc7\x0e\xa5'), '\144' + '\145' + '\143' + chr(0b10011 + 0o134) + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b1000000 + 0o46) + chr(45) + chr(0b111000)): ETnSKZGqTZww, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x96\xba\x97\xf3\xb0\xa9\x85\xd8\xa8\xd6\xc1\x0f'), chr(100) + chr(101) + chr(2096 - 1997) + chr(111) + chr(100) + chr(0b1100101))(chr(0b1100000 + 0o25) + chr(0b101101 + 0o107) + '\x66' + '\x2d' + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xc1\xfb'), '\144' + '\x65' + chr(0b1001 + 0o132) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(5931 - 5815) + chr(102) + '\x2d' + chr(0b11000 + 0o40)) if a2SYDDomXDZ2.version_info.major == ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51), 56691 - 56683) else xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\xc1\xf9'), chr(0b1010000 + 0o24) + '\x65' + chr(7961 - 7862) + chr(338 - 227) + chr(0b1100100) + chr(101))(chr(10516 - 10399) + '\164' + chr(0b1100110) + chr(1471 - 1426) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x80\xac\xbb\xf5\xac'), chr(0b1011010 + 0o12) + chr(7490 - 7389) + '\143' + chr(0b1011100 + 0o23) + chr(0b1011001 + 0o13) + chr(0b1100101))('\165' + chr(0b1100100 + 0o20) + chr(0b101001 + 0o75) + chr(0b101101) + chr(526 - 470)): vUTZFbqN0o8F.nd0OX_BS6_o4, xafqLlk3kkUe(SXOLrMavuUCe(b'\x93\x8c\xaf\x93\xf9\x8a\x96\x85\xd8'), chr(100) + '\145' + chr(99) + chr(0b101011 + 0o104) + chr(0b101010 + 0o72) + '\x65')('\x75' + '\x74' + chr(0b1100110) + '\x2d' + chr(0b111000)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\xba\x9d\xab\xd3\x93'), chr(8949 - 8849) + chr(3881 - 3780) + '\143' + '\x6f' + '\x64' + '\145')(chr(0b1110101) + '\164' + '\146' + chr(623 - 578) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x8e\xbd\x8b\xf9\xac\xab\x99\xda\xbe'), chr(100) + '\x65' + '\x63' + '\x6f' + chr(0b1100100) + '\x65')('\165' + '\x74' + chr(270 - 168) + chr(1831 - 1786) + chr(1788 - 1732)): vUTZFbqN0o8F.cloud_mlengine_master_type or H9JmNe79Ro2y(num_gpus=vUTZFbqN0o8F.worker_gpu)}
if xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\xdb\xab\xba\xab\xb5\x9c\x9a\xe3\x91\xc8\xcf'), '\144' + chr(0b1001000 + 0o35) + chr(0b1011000 + 0o13) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + chr(0b101110 + 0o70) + chr(0b101101) + '\070')):
AkExH9g3XjiJ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x8e\xbd\x8b\xf9\xac\xab\x99\xda\xbe'), '\x64' + chr(0b100100 + 0o101) + '\143' + '\157' + chr(9193 - 9093) + chr(0b1100101))('\x75' + chr(116) + chr(102) + chr(0b101101) + '\x38')] = vUTZFbqN0o8F.cloud_mlengine_master_type or xafqLlk3kkUe(SXOLrMavuUCe(b'\x93\x9b\xaf\x91\xf8\xbf\x8d\x84'), '\144' + '\145' + chr(0b1001100 + 0o27) + chr(4141 - 4030) + '\x64' + '\145')(chr(117) + chr(11234 - 11118) + '\x66' + chr(0b101 + 0o50) + chr(0b11010 + 0o36))
AkExH9g3XjiJ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\x80\xbc\x94\xf9\xac\xab\x99\xda\xbe'), '\x64' + chr(0b1100101) + chr(99) + chr(0b111101 + 0o62) + '\x64' + chr(101))(chr(5012 - 4895) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b111000))] = xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x83\xa1\x8a\xf8\x81\x8b\x90\xdf'), chr(100) + chr(0b110110 + 0o57) + chr(708 - 609) + '\157' + chr(0b1100100) + chr(1717 - 1616))(chr(117) + '\x74' + chr(102) + chr(0b10011 + 0o32) + '\070')
AkExH9g3XjiJ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\x80\xbc\x94\xf9\xac\xbc\x8f\xdf\xb5\xcb'), '\x64' + '\145' + '\x63' + chr(0b1101111) + chr(100) + '\x65')('\165' + '\x74' + chr(102) + '\055' + chr(0b111000))] = ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1501 - 1452), 44679 - 44671)
if xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\x9f\xaf\x8d\xfd\xb3\x8c\xbf\xd8\xba\xd1\xc9\x04'), chr(0b1100100) + '\145' + chr(0b111000 + 0o53) + '\157' + chr(6373 - 6273) + '\x65')(chr(117) + chr(0b1100011 + 0o21) + '\146' + chr(0b101101) + chr(0b111000))):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\xd8\x86\x87\xe9\xbd\x98\xd7\xc0\xb7\xe5\xc5'), '\x64' + '\x65' + chr(99) + chr(635 - 524) + chr(0b1010010 + 0o22) + chr(0b10 + 0o143))('\165' + '\x74' + '\x66' + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\x80\xa0\x99\xf5\xb9\x8a\x92\xc3\xb5\xd8\x8e\t\xb2|I\xa3H\x9f\xae\xd7z\x84b\xd8!\xb1,\xea\x19\xb3\xd2/o'), '\x64' + '\x65' + chr(99) + chr(111) + '\144' + '\x65')('\x75' + chr(3140 - 3024) + chr(102) + chr(0b101101) + chr(56)))
AkExH9g3XjiJ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\x96\xbe\x9a\xee\xae\x9e\x92\xcb\xb6\xda\xda\x04\xb9\x7f'), '\x64' + chr(0b1 + 0o144) + chr(99) + chr(0b1011000 + 0o27) + '\x64' + '\145')('\x75' + chr(116) + chr(0b110 + 0o140) + chr(0b101101) + chr(2243 - 2187))] = dPsMwDMrd8sI(vUTZFbqN0o8F.hparams_range, vUTZFbqN0o8F.autotune_objective, vUTZFbqN0o8F.autotune_maximize, vUTZFbqN0o8F.autotune_max_trials, vUTZFbqN0o8F.autotune_parallel_trials)
SgRbwnqVfFz7 = zKdiQFzuryNR.datetime.now().strftime(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xb6\xeb\x92\xb9\xba\xa0\xc5\xe2\xfe\xf2\x8b2'), chr(100) + '\145' + chr(0b111010 + 0o51) + chr(0b1101111) + '\x64' + '\145')(chr(0b1110101) + chr(11657 - 11541) + '\x66' + '\x2d' + chr(56)))
unN0p7fZXfvI = {xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x80\xac\xb6\xf8'), '\x64' + chr(0b101111 + 0o66) + chr(0b101000 + 0o73) + chr(111) + chr(7888 - 7788) + '\x65')(chr(117) + '\x74' + chr(0b1100110) + '\x2d' + '\x38'): xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\x9c\x91\xda\xef\x81\x8b\xd2\xde\x84\x9a\xdd'), chr(0b1100100) + '\145' + chr(99) + chr(111) + chr(100) + chr(0b1100101))('\165' + chr(1777 - 1661) + chr(0b1100110) + chr(45) + '\x38') % (vUTZFbqN0o8F.FK0vqzZ5gPN6, vUTZFbqN0o8F.sO7e1A_Mor6Q, SgRbwnqVfFz7), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\x8e\xac\x9a\xf0\xad'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101111) + '\x64' + '\145')(chr(0b1110101) + chr(0b1001101 + 0o47) + chr(0b1100110) + chr(45) + chr(0b111000)): {xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x80\xaa\x9a\xf0'), chr(100) + chr(0b1011110 + 0o7) + '\143' + chr(0b1101111) + chr(2944 - 2844) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1001010 + 0o34) + chr(45) + chr(56)): vUTZFbqN0o8F.FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\x9d\xa1\x9d\xf0\xbb\x92'), chr(7580 - 7480) + chr(8778 - 8677) + chr(99) + '\x6f' + chr(7608 - 7508) + chr(0b1100101))(chr(12687 - 12570) + '\164' + chr(0b1100110) + chr(45) + chr(0b101101 + 0o13)): vUTZFbqN0o8F.sO7e1A_Mor6Q, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\x9f\xaf\x8d\xfd\xb3\x8c'), chr(100) + chr(101) + '\143' + '\157' + chr(0b10110 + 0o116) + chr(0b1100101))(chr(10064 - 9947) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\x38'): vUTZFbqN0o8F.hparams_set}, xafqLlk3kkUe(SXOLrMavuUCe(b'\x94\x9d\xaf\x96\xf2\xb7\x91\x87\xe3\xb5\xcf\xdb\x15'), '\144' + '\145' + chr(99) + chr(0b1101111) + chr(0b10101 + 0o117) + chr(101))(chr(117) + chr(0b10001 + 0o143) + chr(5803 - 5701) + chr(45) + chr(0b111000)): AkExH9g3XjiJ}
return unN0p7fZXfvI
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/cloud_mlengine.py
|
launch_job
|
def launch_job(job_spec):
"""Launch job on ML Engine."""
project_id = "projects/{}".format(
text_encoder.native_to_unicode(default_project()))
credentials = GoogleCredentials.get_application_default()
cloudml = discovery.build("ml", "v1", credentials=credentials,
cache_discovery=False)
request = cloudml.projects().jobs().create(body=job_spec, parent=project_id)
request.execute()
|
python
|
def launch_job(job_spec):
"""Launch job on ML Engine."""
project_id = "projects/{}".format(
text_encoder.native_to_unicode(default_project()))
credentials = GoogleCredentials.get_application_default()
cloudml = discovery.build("ml", "v1", credentials=credentials,
cache_discovery=False)
request = cloudml.projects().jobs().create(body=job_spec, parent=project_id)
request.execute()
|
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] |
Launch job on ML Engine.
|
[
"Launch",
"job",
"on",
"ML",
"Engine",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/cloud_mlengine.py#L173-L181
|
train
|
Launch job on ML Engine.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(50) + '\063' + '\065', 45524 - 45516), ehT0Px3KOsy9(chr(195 - 147) + chr(111) + chr(53) + chr(53), 30389 - 30381), ehT0Px3KOsy9('\x30' + chr(9991 - 9880) + '\x32' + chr(2807 - 2754), 13030 - 13022), ehT0Px3KOsy9('\060' + chr(111) + chr(903 - 853) + '\061' + '\063', 0b1000), ehT0Px3KOsy9(chr(2096 - 2048) + '\157' + chr(55) + chr(0b100111 + 0o17), 0b1000), ehT0Px3KOsy9('\x30' + chr(10385 - 10274) + chr(0b10 + 0o62) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(0b110001) + '\x37' + chr(1529 - 1474), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(2215 - 2165) + chr(50) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(50) + chr(0b110100), 42437 - 42429), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + '\x33' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b101111 + 0o1) + chr(2800 - 2746), 0o10), ehT0Px3KOsy9(chr(146 - 98) + chr(111) + chr(0b101000 + 0o15) + chr(502 - 451), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\062' + '\x33' + chr(1548 - 1494), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(1227 - 1172) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4496 - 4385) + chr(51) + '\x31' + chr(575 - 525), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + chr(0b110010) + chr(0b110010) + '\x30', 35076 - 35068), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(49) + '\x33' + '\064', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110001) + chr(606 - 554), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11100 + 0o27) + chr(55) + chr(1057 - 1006), ord("\x08")), ehT0Px3KOsy9(chr(1822 - 1774) + '\157' + '\062' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(109 - 61) + '\x6f' + chr(50) + chr(944 - 889), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(1176 - 1127), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9307 - 9196) + chr(1098 - 1048) + chr(1636 - 1586) + chr(0b100010 + 0o21), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\x31' + chr(53), 19270 - 19262), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1434 - 1383) + '\061' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b110010) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1457 - 1409) + '\157' + chr(0b110011) + chr(55) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(0b110011) + '\060' + chr(536 - 488), 53074 - 53066), ehT0Px3KOsy9('\060' + '\157' + chr(1855 - 1804) + '\x36' + '\x31', 64212 - 64204), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110110) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b110101) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1100010 + 0o15) + chr(51) + chr(1981 - 1932) + chr(50), 8), ehT0Px3KOsy9(chr(65 - 17) + '\157' + chr(0b110010) + chr(1174 - 1124) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(2173 - 2119) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(0b110011) + chr(456 - 406) + chr(0b0 + 0o65), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(0b111 + 0o53) + chr(53) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\066' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(2216 - 2168) + chr(111) + '\x33' + chr(0b110111) + chr(2882 - 2827), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b101101 + 0o11) + chr(0b11011 + 0o30), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2582 - 2529) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3'), chr(100) + chr(3082 - 2981) + chr(99) + '\157' + chr(0b1100100) + chr(0b10111 + 0o116))(chr(0b11000 + 0o135) + chr(116) + '\x66' + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def D72Gw9QfaUIC(unN0p7fZXfvI):
wDsmSuyzs9xQ = xafqLlk3kkUe(SXOLrMavuUCe(b'\xed_z\xe1[A\x0b\xe5\xbb\xa7\xbb'), '\x64' + chr(1445 - 1344) + chr(0b1011011 + 0o10) + '\x6f' + chr(0b1100100) + chr(0b10101 + 0o120))(chr(0b1110101) + chr(0b1110100) + chr(8477 - 8375) + chr(0b101101) + chr(0b100101 + 0o23)).V4roHaS3Ppej(nCRDzZ_Is9fz.native_to_unicode(Fpb1uZSIocDd()))
Pj1cXaT_Euh0 = F22FQ_xr6XGG.get_application_default()
DeNPwPZeAd4K = ljKINYizAukk.build(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0A'), '\144' + chr(0b110100 + 0o61) + chr(6395 - 6296) + chr(0b10001 + 0o136) + '\144' + chr(301 - 200))('\165' + '\x74' + chr(0b1100110) + '\x2d' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb\x1c'), '\x64' + chr(101) + chr(99) + '\157' + chr(5921 - 5821) + chr(101))(chr(117) + chr(116) + chr(102) + chr(1313 - 1268) + chr(0b111000)), credentials=Pj1cXaT_Euh0, cache_discovery=ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1010010 + 0o35) + chr(0b11110 + 0o22), ord("\x08")))
r9Xp41HGNpwj = DeNPwPZeAd4K.projects().jobs().create(body=unN0p7fZXfvI, parent=wDsmSuyzs9xQ)
xafqLlk3kkUe(r9Xp41HGNpwj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8Up\xe8KV\x1a'), chr(2350 - 2250) + '\145' + '\x63' + '\157' + chr(0b1000010 + 0o42) + chr(7279 - 7178))('\x75' + '\164' + chr(102) + chr(1633 - 1588) + chr(2039 - 1983)))()
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/cloud_mlengine.py
|
_tar_and_copy
|
def _tar_and_copy(src_dir, target_dir):
"""Tar and gzip src_dir and copy to GCS target_dir."""
src_dir = src_dir.rstrip("/")
target_dir = target_dir.rstrip("/")
tmp_dir = tempfile.gettempdir().rstrip("/")
src_base = os.path.basename(src_dir)
shell_run(
"tar --exclude=.git -zcf {tmp_dir}/{src_base}.tar.gz -C {src_dir} .",
src_dir=src_dir,
src_base=src_base,
tmp_dir=tmp_dir)
final_destination = "%s/%s.tar.gz" % (target_dir, src_base)
shell_run(
("gsutil cp {tmp_dir}/{src_base}.tar.gz "
"{final_destination}"),
tmp_dir=tmp_dir,
src_base=src_base,
final_destination=final_destination)
return final_destination
|
python
|
def _tar_and_copy(src_dir, target_dir):
"""Tar and gzip src_dir and copy to GCS target_dir."""
src_dir = src_dir.rstrip("/")
target_dir = target_dir.rstrip("/")
tmp_dir = tempfile.gettempdir().rstrip("/")
src_base = os.path.basename(src_dir)
shell_run(
"tar --exclude=.git -zcf {tmp_dir}/{src_base}.tar.gz -C {src_dir} .",
src_dir=src_dir,
src_base=src_base,
tmp_dir=tmp_dir)
final_destination = "%s/%s.tar.gz" % (target_dir, src_base)
shell_run(
("gsutil cp {tmp_dir}/{src_base}.tar.gz "
"{final_destination}"),
tmp_dir=tmp_dir,
src_base=src_base,
final_destination=final_destination)
return final_destination
|
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Tar and gzip src_dir and copy to GCS target_dir.
|
[
"Tar",
"and",
"gzip",
"src_dir",
"and",
"copy",
"to",
"GCS",
"target_dir",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/cloud_mlengine.py#L184-L202
|
train
|
Tar and gzip src_dir and copy to GCS target_dir.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b110001 + 0o76) + '\x31' + '\065' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b110010) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(2602 - 2550) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + chr(49) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\067' + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + chr(2559 - 2508) + '\x35' + chr(0b0 + 0o63), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\062' + '\x30' + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\x34' + chr(0b101000 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101000 + 0o107) + chr(0b110011) + '\064' + chr(0b100110 + 0o16), 8), ehT0Px3KOsy9(chr(382 - 334) + chr(0b1101111) + chr(496 - 443) + '\x37', 52677 - 52669), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\062' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(0b1000 + 0o54) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\066' + chr(50), 48859 - 48851), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b110000 + 0o77) + '\063' + '\x30' + chr(0b110 + 0o57), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110101) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(1841 - 1793) + chr(111) + chr(0b110111) + chr(49), 0o10), ehT0Px3KOsy9(chr(2191 - 2143) + chr(0b100001 + 0o116) + chr(51) + chr(49) + chr(0b110010), 2147 - 2139), ehT0Px3KOsy9(chr(1720 - 1672) + chr(8760 - 8649) + chr(0b110010) + '\x33' + chr(663 - 613), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + '\061' + chr(0b11011 + 0o34) + chr(1420 - 1365), 14304 - 14296), ehT0Px3KOsy9('\060' + chr(880 - 769) + chr(50) + chr(53), 8), ehT0Px3KOsy9('\060' + chr(3733 - 3622) + chr(0b101011 + 0o10) + chr(0b10111 + 0o34) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10148 - 10037) + chr(0b110000 + 0o1) + chr(2336 - 2286) + chr(49), 16136 - 16128), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + '\x33' + chr(0b110000) + chr(2630 - 2578), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(388 - 339) + chr(0b110110) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(2057 - 1946) + chr(51) + chr(0b1111 + 0o43), 6353 - 6345), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(53) + chr(0b110101), 52020 - 52012), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b1110 + 0o50) + chr(0b100101 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(53) + chr(0b110010), 14492 - 14484), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(51) + chr(48), 0b1000), ehT0Px3KOsy9(chr(2286 - 2238) + chr(111) + '\x33' + chr(0b100001 + 0o25) + chr(0b101110 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + '\063' + chr(53) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1111 + 0o140) + chr(49) + '\060' + '\x32', 0b1000), ehT0Px3KOsy9(chr(525 - 477) + chr(11147 - 11036) + chr(1333 - 1282) + '\x33' + chr(1275 - 1221), 8), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\065' + chr(2305 - 2250), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3827 - 3716) + chr(929 - 879) + chr(49) + chr(54), 36256 - 36248), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(1102 - 1051) + chr(201 - 149) + chr(1278 - 1230), 11359 - 11351), ehT0Px3KOsy9(chr(1360 - 1312) + chr(0b1000011 + 0o54) + '\x32' + '\x36' + chr(50), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b110 + 0o54) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110100) + chr(0b100101 + 0o17), 0o10), ehT0Px3KOsy9('\060' + chr(1707 - 1596) + chr(2766 - 2711) + chr(48), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1688 - 1640) + chr(0b1101111) + '\065' + chr(48), 23456 - 23448)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'B'), '\x64' + chr(5962 - 5861) + '\143' + chr(0b1101111) + chr(100) + chr(101))('\165' + chr(116) + chr(319 - 217) + chr(165 - 120) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ycVuWV7qCyDx(ohA6fqvt24xZ, E21Ep1RaFfdE):
ohA6fqvt24xZ = ohA6fqvt24xZ.rstrip(xafqLlk3kkUe(SXOLrMavuUCe(b'C'), '\144' + '\145' + chr(99) + chr(0b1101111) + chr(0b110010 + 0o62) + '\x65')(chr(0b1110101) + chr(1919 - 1803) + chr(8325 - 8223) + '\x2d' + chr(0b111000)))
E21Ep1RaFfdE = E21Ep1RaFfdE.rstrip(xafqLlk3kkUe(SXOLrMavuUCe(b'C'), chr(100) + chr(0b1100 + 0o131) + '\x63' + '\157' + chr(100) + '\x65')(chr(117) + '\164' + chr(0b1100110) + '\x2d' + '\x38'))
JsZ36NJUqtml = IvD8hQuFpT7c.gettempdir().rstrip(xafqLlk3kkUe(SXOLrMavuUCe(b'C'), '\144' + chr(0b1100101) + '\x63' + chr(111) + chr(0b1100100) + chr(0b0 + 0o145))(chr(9251 - 9134) + '\164' + '\146' + '\055' + chr(0b111000)))
EeFt0vWGeP6u = oqhJDdMJfuwx.path.basename(ohA6fqvt24xZ)
WcYcCl8bKF_Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\x18t\x12-\x15\xc6\xe7\x9c\x87C CW\xf8\x07^\xa3\xee_8\xa42\xa2Ra\xd9\xdfZ\xc7\x96\x850\xa3\xc0\xf5\x93\xc0\xb0{Z\rf\x05p\x16\x9f\xe3\x96\xcaH/\x07\x1f\x86\tB\xb9\xe8\x1cJ\xba8\xb6\x0f:\x83'), '\x64' + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b10110 + 0o117))(chr(0b1001100 + 0o51) + chr(0b1110100) + chr(102) + chr(0b101101) + '\x38'), src_dir=ohA6fqvt24xZ, src_base=EeFt0vWGeP6u, tmp_dir=JsZ36NJUqtml)
XIVrvrBfI4uZ = xafqLlk3kkUe(SXOLrMavuUCe(b'IfO(K\xc5\xf6\x85\x96\x012]'), chr(5032 - 4932) + chr(0b1100101) + chr(5439 - 5340) + chr(0b1101111) + chr(100) + chr(0b1100101))('\165' + chr(0b1110100) + chr(10158 - 10056) + '\x2d' + chr(1158 - 1102)) % (E21Ep1RaFfdE, EeFt0vWGeP6u)
WcYcCl8bKF_Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0bf\x15yQ\x87\xa2\x87\x94\x0f.S_\xb5v]\xa3\xe8\x02:\xa5"\xb6\x11E\xcf\xd3Y\xfd\x8f\xc26\xbf\x9d\xa0\x87\xc8\xf3_^\x05{\x01ag\x8f\xe7\x97\x90F;FF\xacFW\xb7'), chr(0b1100100) + '\x65' + chr(0b1011011 + 0o10) + '\x6f' + '\144' + chr(0b1100101))(chr(6791 - 6674) + '\x74' + '\x66' + chr(45) + chr(0b111000)), tmp_dir=JsZ36NJUqtml, src_base=EeFt0vWGeP6u, final_destination=XIVrvrBfI4uZ)
return XIVrvrBfI4uZ
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/cloud_mlengine.py
|
tar_and_copy_t2t
|
def tar_and_copy_t2t(train_dir):
"""Tar Tensor2Tensor and cp to train_dir."""
tf.logging.info("Tarring and pushing local Tensor2Tensor package.")
output = text_encoder.native_to_unicode(shell_output(
"pip show tensor2tensor")).split("\n")
assert output[1].startswith("Version")
assert output[7].startswith("Location")
t2t_version = output[1].split(":")[1].strip()
t2t_dir = output[7].split(":")[1].strip()
# A local installation cloned from GitHub will have a setup.py file and a docs
# folder
is_local_t2t = all([
tf.gfile.Exists(os.path.join(t2t_dir, fname))
for fname in ["setup.py", "docs/cloud_mlengine.md"]
])
if is_local_t2t:
tf.logging.info("Found local T2T installation. Tarring directory %s",
t2t_dir)
else:
# PyPI installation
# Create a folder with just a setup.py file pointing to the right version
tf.logging.info("Found PyPI T2T installation. Launching tensor2tensor==%s",
t2t_version)
t2t_dir = os.path.join(tempfile.gettempdir(), "tensor2tensor_tmp")
shutil.rmtree(t2t_dir, ignore_errors=True)
os.mkdir(t2t_dir)
setup_fname = os.path.join(t2t_dir, "setup.py")
setup_file_str = get_setup_file(
name="DummyT2TPackage",
packages=["tensor2tensor==%s" % t2t_version]
)
with tf.gfile.Open(setup_fname, "w") as f:
f.write(setup_file_str)
t2t_tar = _tar_and_copy(t2t_dir, train_dir)
return t2t_tar
|
python
|
def tar_and_copy_t2t(train_dir):
"""Tar Tensor2Tensor and cp to train_dir."""
tf.logging.info("Tarring and pushing local Tensor2Tensor package.")
output = text_encoder.native_to_unicode(shell_output(
"pip show tensor2tensor")).split("\n")
assert output[1].startswith("Version")
assert output[7].startswith("Location")
t2t_version = output[1].split(":")[1].strip()
t2t_dir = output[7].split(":")[1].strip()
# A local installation cloned from GitHub will have a setup.py file and a docs
# folder
is_local_t2t = all([
tf.gfile.Exists(os.path.join(t2t_dir, fname))
for fname in ["setup.py", "docs/cloud_mlengine.md"]
])
if is_local_t2t:
tf.logging.info("Found local T2T installation. Tarring directory %s",
t2t_dir)
else:
# PyPI installation
# Create a folder with just a setup.py file pointing to the right version
tf.logging.info("Found PyPI T2T installation. Launching tensor2tensor==%s",
t2t_version)
t2t_dir = os.path.join(tempfile.gettempdir(), "tensor2tensor_tmp")
shutil.rmtree(t2t_dir, ignore_errors=True)
os.mkdir(t2t_dir)
setup_fname = os.path.join(t2t_dir, "setup.py")
setup_file_str = get_setup_file(
name="DummyT2TPackage",
packages=["tensor2tensor==%s" % t2t_version]
)
with tf.gfile.Open(setup_fname, "w") as f:
f.write(setup_file_str)
t2t_tar = _tar_and_copy(t2t_dir, train_dir)
return t2t_tar
|
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"t2t_dir",
")",
"setup_fname",
"=",
"os",
".",
"path",
".",
"join",
"(",
"t2t_dir",
",",
"\"setup.py\"",
")",
"setup_file_str",
"=",
"get_setup_file",
"(",
"name",
"=",
"\"DummyT2TPackage\"",
",",
"packages",
"=",
"[",
"\"tensor2tensor==%s\"",
"%",
"t2t_version",
"]",
")",
"with",
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"gfile",
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"(",
"setup_fname",
",",
"\"w\"",
")",
"as",
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"setup_file_str",
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"t2t_tar",
"=",
"_tar_and_copy",
"(",
"t2t_dir",
",",
"train_dir",
")",
"return",
"t2t_tar"
] |
Tar Tensor2Tensor and cp to train_dir.
|
[
"Tar",
"Tensor2Tensor",
"and",
"cp",
"to",
"train_dir",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/cloud_mlengine.py#L205-L242
|
train
|
Tar Tensor2Tensor and cp to train_dir.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(51) + '\x36' + '\060', 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(5923 - 5812) + chr(0b1000 + 0o53) + '\x35' + '\061', 47779 - 47771), ehT0Px3KOsy9(chr(189 - 141) + '\x6f' + chr(0b110001) + chr(0b1 + 0o57) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10100 + 0o37) + chr(0b101001 + 0o12) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(55) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b11110 + 0o24) + chr(0b11110 + 0o27) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1050 - 1002) + chr(0b1101111) + '\062' + chr(55) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(529 - 481) + '\x6f' + chr(50) + '\060' + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(466 - 414) + chr(0b10100 + 0o34), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(6982 - 6871) + chr(350 - 300) + '\063' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(172 - 123) + chr(0b10110 + 0o36) + '\x37', 0b1000), ehT0Px3KOsy9(chr(1027 - 979) + chr(111) + '\x31' + chr(696 - 644) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1993 - 1945) + chr(3549 - 3438) + chr(0b110001) + chr(465 - 411), 38935 - 38927), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\062' + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(53) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(50) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1167 - 1119) + chr(0b111011 + 0o64) + chr(54) + chr(0b110010), 37395 - 37387), ehT0Px3KOsy9(chr(278 - 230) + '\x6f' + '\x32' + '\x31' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110000) + '\x32', 41556 - 41548), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(1682 - 1627), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1809 - 1758) + chr(0b101111 + 0o10) + '\x31', 24309 - 24301), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1001010 + 0o45) + chr(0b110111) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010), 17186 - 17178), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101011 + 0o4) + chr(0b10101 + 0o35) + chr(0b10100 + 0o40), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(2110 - 2059) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b1010 + 0o52) + chr(52), 16882 - 16874), ehT0Px3KOsy9(chr(48) + chr(1455 - 1344) + chr(49) + chr(0b110111) + chr(49), 65254 - 65246), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1051 - 998), 0o10), ehT0Px3KOsy9(chr(48) + chr(7552 - 7441) + chr(50) + chr(0b110001) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\065' + chr(0b110100 + 0o2), 0b1000), ehT0Px3KOsy9(chr(146 - 98) + chr(7206 - 7095) + chr(0b110001) + chr(49) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\062' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\x35' + chr(503 - 455), 8), ehT0Px3KOsy9(chr(1263 - 1215) + '\157' + chr(0b11000 + 0o32) + chr(0b101110 + 0o5) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\x33' + chr(2069 - 2019), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(179 - 129) + chr(0b110001) + '\062', 58560 - 58552), ehT0Px3KOsy9('\060' + chr(274 - 163) + chr(0b11100 + 0o25) + chr(53) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000111 + 0o50) + chr(0b110011) + chr(0b110100) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100111 + 0o12) + chr(50) + '\x33', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1239 - 1191) + '\157' + chr(0b110101) + chr(1761 - 1713), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xde'), '\x64' + '\x65' + chr(2921 - 2822) + chr(111) + chr(0b1000100 + 0o40) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b100111 + 0o21)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nwKMx74nZAZ6(x9cwAbV6Ol7j):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\xde\x0f\xa0\xcc\xc8\xd9\xb2Jj\xc2\x0c'), chr(100) + chr(0b1100101) + '\x63' + chr(111) + chr(0b1100100) + chr(101))('\165' + chr(0b1101000 + 0o14) + chr(8472 - 8370) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\x885\xaa\xd0\xc5\xd9\xa5Ah\xfcG\x10{!\x00\xfa\\\xea\xa2C\x96[cx\xbf\xb0\x1ck\xff\x018e<\xf94\xf9\x05\x94s\x80\x88$\xb3\xd8\xcc\xdb\xab'), chr(100) + '\x65' + chr(7754 - 7655) + chr(0b100111 + 0o110) + chr(956 - 856) + '\145')('\x75' + chr(571 - 455) + '\146' + '\x2d' + chr(0b111000)))
e1jVqMSBZ01Y = nCRDzZ_Is9fz.native_to_unicode(xPl4i7V9SCxZ(xafqLlk3kkUe(SXOLrMavuUCe(b'\x80\x807\xf8\xca\xc3\xd1\xf2\x00r\xfd\t\x13a Z\xe7W\xe3\xf1@\x8b'), '\x64' + chr(7458 - 7357) + chr(3292 - 3193) + chr(0b1011 + 0o144) + chr(100) + '\145')(chr(0b111 + 0o156) + '\164' + chr(0b1100110) + chr(1272 - 1227) + '\x38'))).split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(0b100001 + 0o103) + '\145')(chr(10959 - 10842) + chr(5683 - 5567) + chr(0b10000 + 0o126) + chr(660 - 615) + chr(2130 - 2074)))
assert xafqLlk3kkUe(e1jVqMSBZ01Y[ehT0Px3KOsy9(chr(48) + '\157' + chr(189 - 140), 0b1000)], xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x9d&\xaa\xcd\xd8\xc9\xecTn'), chr(4361 - 4261) + chr(0b1100101) + '\x63' + '\x6f' + chr(0b111110 + 0o46) + '\145')('\165' + '\164' + '\146' + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\x8c5\xab\xd0\xc4\xd0'), chr(8650 - 8550) + '\145' + chr(0b1100011) + chr(0b111000 + 0o67) + chr(0b1100100) + chr(0b1100101))(chr(3799 - 3682) + '\x74' + chr(102) + chr(0b11101 + 0o20) + '\070'))
assert xafqLlk3kkUe(e1jVqMSBZ01Y[ehT0Px3KOsy9(chr(0b110000) + chr(0b1100110 + 0o11) + chr(55), 0b1000)], xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x9d&\xaa\xcd\xd8\xc9\xecTn'), chr(5930 - 5830) + '\145' + chr(6227 - 6128) + chr(0b1001000 + 0o47) + '\144' + chr(0b110000 + 0o65))('\x75' + '\x74' + '\146' + chr(1318 - 1273) + chr(0b110 + 0o62)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x86$\xb9\xcd\xc2\xd1\xeb'), '\144' + chr(0b1100101) + chr(0b1100011) + '\157' + '\144' + '\145')('\x75' + '\x74' + chr(102) + chr(0b100001 + 0o14) + chr(0b111000)))
YbYKCydzesSG = e1jVqMSBZ01Y[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101110 + 0o3), 8)].split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xca'), chr(3839 - 3739) + chr(0b111010 + 0o53) + '\143' + chr(0b1101111) + chr(0b11010 + 0o112) + '\145')('\x75' + chr(0b1110100) + chr(102) + chr(0b10001 + 0o34) + chr(579 - 523)))[ehT0Px3KOsy9(chr(48) + chr(111) + '\x31', 8)].strip()
qnTx98YjsHsN = e1jVqMSBZ01Y[ehT0Px3KOsy9('\x30' + chr(8582 - 8471) + '\x37', 8)].split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xca'), chr(100) + chr(0b11 + 0o142) + chr(99) + '\157' + chr(0b1100011 + 0o1) + chr(9830 - 9729))(chr(0b1110101) + '\164' + chr(694 - 592) + chr(0b101101) + '\x38'))[ehT0Px3KOsy9('\x30' + chr(10876 - 10765) + '\061', 8)].strip()
YyWHNBYLWSHy = Dl48nj1rbi23([IDJ2eXGCBCDu.gfile.Exists(oqhJDdMJfuwx.path.join(qnTx98YjsHsN, t3WbF0Ae42Pu)) for t3WbF0Ae42Pu in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x8c3\xad\xc9\x85\xce\xfc'), chr(0b1100100) + chr(101) + '\x63' + chr(0b1101111) + '\144' + '\x65')(chr(117) + '\164' + chr(0b1100110) + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x94\x86$\xab\x96\xc8\xd2\xeaUb\xc7\n\x0ck<\x0f\xfa\\\xe8\xacB\x9d'), chr(8068 - 7968) + chr(101) + chr(0b1000011 + 0o40) + chr(111) + chr(4364 - 4264) + chr(0b11110 + 0o107))(chr(0b1110101) + chr(0b10011 + 0o141) + chr(0b1100110) + chr(0b1111 + 0o36) + '\070')]])
if YyWHNBYLWSHy:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\xde\x0f\xa0\xcc\xc8\xd9\xb2Jj\xc2\x0c'), chr(0b1100100) + chr(2776 - 2675) + chr(99) + chr(0b1101111) + chr(0b1000111 + 0o35) + chr(0b110101 + 0o60))(chr(11417 - 11300) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b1010 + 0o56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6\x862\xb6\xdd\x8b\xd2\xeaCg\xf4G4<\x06H\xfa\\\xfe\xf6N\x95Tc`\xf6\x8b\x17+\xac:+%\x1a\xf54\xedJ\x82:\x82\x8c$\xac\xd6\xd9\xc7\xa5\x05u'), chr(0b1011001 + 0o13) + chr(0b1001001 + 0o34) + '\143' + chr(0b100110 + 0o111) + chr(0b1100010 + 0o2) + chr(0b11101 + 0o110))('\165' + '\164' + chr(0b1100110) + '\x2d' + chr(56)), qnTx98YjsHsN)
else:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\xde\x0f\xa0\xcc\xc8\xd9\xb2Jj\xc2\x0c'), chr(100) + chr(0b1100101) + '\x63' + chr(111) + chr(0b1100100) + chr(101))(chr(117) + chr(0b11110 + 0o126) + chr(102) + chr(1778 - 1733) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b"\xb6\x862\xb6\xdd\x8b\xee\xfcpO\xb83RZr\x01\xfdA\xf9\xe3C\x95Yv}\xf0\x8aW%\xc0\x0f?9\x0b\xf43\xe4\r\xc6'\x95\x874\xb7\xcb\x99\xca\xe0Nu\xf7\x15]3w\x1b"), chr(0b10101 + 0o117) + '\x65' + '\143' + chr(0b1101111) + '\144' + '\x65')(chr(9056 - 8939) + '\164' + chr(1151 - 1049) + '\055' + chr(0b10101 + 0o43)), YbYKCydzesSG)
qnTx98YjsHsN = oqhJDdMJfuwx.path.join(IvD8hQuFpT7c.gettempdir(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\x8c)\xab\xd6\xd9\x8c\xf1Eh\xeb\x08\x12Q&\x05\xe3'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1011100 + 0o23) + chr(0b1100100) + '\145')('\165' + '\x74' + chr(0b1011000 + 0o16) + chr(0b1100 + 0o41) + chr(56)))
xafqLlk3kkUe(DSLq_IS6e6IX, xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\x843\xaa\xdc\xce'), chr(0b100001 + 0o103) + '\145' + chr(0b1100011) + chr(9488 - 9377) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b11000 + 0o40)))(qnTx98YjsHsN, ignore_errors=ehT0Px3KOsy9(chr(259 - 211) + chr(111) + '\061', 8))
xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x82#\xb1\xcb'), chr(100) + '\x65' + '\143' + chr(0b1101111) + '\x64' + '\x65')(chr(117) + '\164' + chr(102) + chr(0b10001 + 0o34) + chr(0b10010 + 0o46)))(qnTx98YjsHsN)
mal1Vf2xIL99 = oqhJDdMJfuwx.path.join(qnTx98YjsHsN, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x8c3\xad\xc9\x85\xce\xfc'), chr(0b1001001 + 0o33) + '\145' + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(1747 - 1702) + chr(0b111000)))
yidt72f2tE9z = Cxn2BgmaJXjt(name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\x9c*\xb5\xc0\xff\x8c\xd1pg\xfb\x0c\x01i7'), chr(0b1100100) + chr(0b110011 + 0o62) + chr(6672 - 6573) + '\x6f' + '\144' + '\145')(chr(117) + chr(116) + '\x66' + '\055' + '\x38'), packages=[xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\x8c)\xab\xd6\xd9\x8c\xf1Eh\xeb\x08\x123oM\xe0'), chr(0b1100100) + chr(0b1100101) + chr(1470 - 1371) + chr(0b10010 + 0o135) + '\x64' + chr(0b1000011 + 0o42))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b1011 + 0o42) + '\x38') % YbYKCydzesSG])
with xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x99"\xb6'), '\144' + chr(101) + chr(0b1001100 + 0o27) + chr(5928 - 5817) + chr(2724 - 2624) + '\x65')(chr(117) + '\x74' + '\146' + chr(0b10001 + 0o34) + chr(56)))(mal1Vf2xIL99, xafqLlk3kkUe(SXOLrMavuUCe(b'\x87'), '\144' + chr(101) + chr(99) + chr(111) + '\144' + chr(0b101001 + 0o74))('\165' + chr(0b1110100) + chr(102) + chr(508 - 463) + chr(171 - 115))) as EGyt1xfPT1P6:
xafqLlk3kkUe(EGyt1xfPT1P6, xafqLlk3kkUe(SXOLrMavuUCe(b'\x87\x9b.\xac\xdc'), chr(0b11110 + 0o106) + chr(101) + chr(99) + chr(0b1101111) + chr(7481 - 7381) + chr(0b1100101))('\x75' + chr(116) + chr(5141 - 5039) + '\055' + chr(0b111000)))(yidt72f2tE9z)
xK0IeppUlWJP = ycVuWV7qCyDx(qnTx98YjsHsN, x9cwAbV6Ol7j)
return xK0IeppUlWJP
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/cloud_mlengine.py
|
tar_and_copy_usr_dir
|
def tar_and_copy_usr_dir(usr_dir, train_dir):
"""Package, tar, and copy usr_dir to GCS train_dir."""
tf.logging.info("Tarring and pushing t2t_usr_dir.")
usr_dir = os.path.abspath(os.path.expanduser(usr_dir))
# Copy usr dir to a temp location
top_dir = os.path.join(tempfile.gettempdir(), "t2t_usr_container")
tmp_usr_dir = os.path.join(top_dir, usr_dir_lib.INTERNAL_USR_DIR_PACKAGE)
shutil.rmtree(top_dir, ignore_errors=True)
shutil.copytree(usr_dir, tmp_usr_dir)
# Insert setup.py if one does not exist
top_setup_fname = os.path.join(top_dir, "setup.py")
setup_file_str = get_setup_file(
name="DummyUsrDirPackage",
packages=get_requirements(usr_dir)
)
with tf.gfile.Open(top_setup_fname, "w") as f:
f.write(setup_file_str)
usr_tar = _tar_and_copy(top_dir, train_dir)
return usr_tar
|
python
|
def tar_and_copy_usr_dir(usr_dir, train_dir):
"""Package, tar, and copy usr_dir to GCS train_dir."""
tf.logging.info("Tarring and pushing t2t_usr_dir.")
usr_dir = os.path.abspath(os.path.expanduser(usr_dir))
# Copy usr dir to a temp location
top_dir = os.path.join(tempfile.gettempdir(), "t2t_usr_container")
tmp_usr_dir = os.path.join(top_dir, usr_dir_lib.INTERNAL_USR_DIR_PACKAGE)
shutil.rmtree(top_dir, ignore_errors=True)
shutil.copytree(usr_dir, tmp_usr_dir)
# Insert setup.py if one does not exist
top_setup_fname = os.path.join(top_dir, "setup.py")
setup_file_str = get_setup_file(
name="DummyUsrDirPackage",
packages=get_requirements(usr_dir)
)
with tf.gfile.Open(top_setup_fname, "w") as f:
f.write(setup_file_str)
usr_tar = _tar_and_copy(top_dir, train_dir)
return usr_tar
|
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] |
Package, tar, and copy usr_dir to GCS train_dir.
|
[
"Package",
"tar",
"and",
"copy",
"usr_dir",
"to",
"GCS",
"train_dir",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/cloud_mlengine.py#L245-L263
|
train
|
Package tar and copy usr_dir to GCS train_dir.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b110010), 63844 - 63836), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\x37' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111111 + 0o60) + '\067' + chr(0b10101 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110100) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110100) + chr(53), 55189 - 55181), ehT0Px3KOsy9(chr(1625 - 1577) + '\x6f' + chr(0b1001 + 0o50) + chr(51) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(474 - 426) + '\x6f' + '\x32' + '\067' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110111) + chr(48), 0o10), ehT0Px3KOsy9(chr(1947 - 1899) + chr(111) + chr(0b101110 + 0o5) + '\060' + chr(0b100110 + 0o12), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b101101 + 0o6) + '\x31' + chr(0b101010 + 0o10), 16642 - 16634), ehT0Px3KOsy9('\x30' + chr(0b1101100 + 0o3) + chr(0b11101 + 0o24) + chr(0b110010) + '\x35', 0b1000), ehT0Px3KOsy9(chr(599 - 551) + chr(111) + chr(0b110 + 0o57) + chr(0b10101 + 0o37), 2879 - 2871), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b110111) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1111 + 0o42) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b10100 + 0o41) + chr(1882 - 1829), ord("\x08")), ehT0Px3KOsy9(chr(1024 - 976) + '\x6f' + '\x33' + chr(0b10 + 0o63) + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11111 + 0o23) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\x31' + '\066', 34340 - 34332), ehT0Px3KOsy9(chr(885 - 837) + chr(0b1011 + 0o144) + chr(0b110011) + '\x32' + chr(2525 - 2473), 5009 - 5001), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2334 - 2283) + chr(0b110100 + 0o0) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(48) + chr(0b10 + 0o61), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(0b11101 + 0o25) + '\062' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1011100 + 0o23) + chr(0b11 + 0o61) + chr(48), 9911 - 9903), ehT0Px3KOsy9('\x30' + chr(0b1100101 + 0o12) + chr(50) + chr(0b1001 + 0o50) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(54) + chr(48), 6370 - 6362), ehT0Px3KOsy9('\060' + '\157' + chr(0b11011 + 0o26) + chr(0b110000) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + '\062' + chr(54) + chr(2457 - 2407), 6843 - 6835), ehT0Px3KOsy9(chr(0b110000) + chr(5966 - 5855) + chr(0b110001) + chr(0b110100) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + '\x33' + chr(1956 - 1905) + chr(529 - 477), 23473 - 23465), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + '\063' + chr(2335 - 2282) + chr(2334 - 2285), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001 + 0o0) + '\x33' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(1218 - 1170) + '\157' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b10 + 0o57) + '\x31', 42366 - 42358), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\061' + chr(0b110 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + chr(0b110010) + chr(843 - 792) + chr(0b101111 + 0o6), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1843 - 1794) + chr(2653 - 2599) + chr(978 - 924), 27378 - 27370), ehT0Px3KOsy9(chr(2258 - 2210) + chr(111) + chr(0b100111 + 0o13) + chr(0b11001 + 0o30) + chr(0b11101 + 0o26), 56208 - 56200), ehT0Px3KOsy9(chr(48) + chr(0b110100 + 0o73) + '\x32' + chr(0b101000 + 0o13), 0b1000), ehT0Px3KOsy9(chr(1056 - 1008) + chr(111) + chr(0b110001) + '\x37' + chr(2145 - 2095), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(50) + chr(0b100110 + 0o17), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'4'), '\144' + chr(101) + chr(0b1100011) + chr(0b1001001 + 0o46) + '\144' + chr(0b1100101))(chr(7393 - 7276) + chr(0b1110100) + chr(0b110010 + 0o64) + '\055' + chr(630 - 574)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def rdmO54OdPVhv(Ee2uuYhe3rVI, x9cwAbV6Ol7j):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'I\x89s^P>\xdeO\xaa\xa6\x0fG'), '\144' + chr(101) + '\143' + chr(111) + chr(100) + chr(0b110101 + 0o60))('\165' + chr(116) + chr(3866 - 3764) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'N\xdfITL3\xdeX\xa1\xa41\x0c\xcb}\x9e\x83| \xb3\xc57\xa7T\xd3E4\xc09\xb8\x80)+'), chr(0b1100100) + '\145' + '\x63' + '\157' + '\144' + chr(101))('\165' + chr(0b1110100) + '\146' + '\055' + chr(56)))
Ee2uuYhe3rVI = oqhJDdMJfuwx.path.abspath(oqhJDdMJfuwx.path.expanduser(Ee2uuYhe3rVI))
TAfumOAb90nE = oqhJDdMJfuwx.path.join(IvD8hQuFpT7c.gettempdir(), xafqLlk3kkUe(SXOLrMavuUCe(b"n\x8cOyP.\xcb'\xa3\xa5;X\xdaa\x83\x8eg"), '\144' + '\x65' + chr(99) + '\157' + '\x64' + chr(0b1100101))(chr(117) + '\164' + '\146' + chr(0b101101) + chr(0b111000 + 0o0)))
aXAFJOmtPwjO = oqhJDdMJfuwx.path.join(TAfumOAb90nE, YniV6wNt6JYE.INTERNAL_USR_DIR_PACKAGE)
xafqLlk3kkUe(DSLq_IS6e6IX, xafqLlk3kkUe(SXOLrMavuUCe(b'h\xd3OT@8'), '\144' + chr(101) + chr(0b111100 + 0o47) + chr(9981 - 9870) + chr(1744 - 1644) + '\145')(chr(12027 - 11910) + '\164' + '\146' + chr(0b11010 + 0o23) + '\x38'))(TAfumOAb90nE, ignore_errors=ehT0Px3KOsy9(chr(0b110000) + chr(0b101100 + 0o103) + chr(1262 - 1213), 781 - 773))
xafqLlk3kkUe(DSLq_IS6e6IX, xafqLlk3kkUe(SXOLrMavuUCe(b'y\xd1K_Q/\xdc\x1d'), '\x64' + chr(0b10001 + 0o124) + chr(0b10100 + 0o117) + '\157' + chr(0b1100100) + chr(101))(chr(0b1110101) + '\x74' + '\146' + '\055' + chr(0b111000)))(Ee2uuYhe3rVI, aXAFJOmtPwjO)
OFjYqkGBchbu = oqhJDdMJfuwx.path.join(TAfumOAb90nE, xafqLlk3kkUe(SXOLrMavuUCe(b'i\xdbOSUs\xc9\x01'), chr(0b1100100) + chr(8495 - 8394) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(101))('\165' + '\164' + chr(0b1100 + 0o132) + chr(0b101101) + '\070'))
yidt72f2tE9z = Cxn2BgmaJXjt(name=xafqLlk3kkUe(SXOLrMavuUCe(b"^\xcbVK\\\x08\xca\n\x84\xa3'|\xdak\x86\x8ar+"), chr(0b1010101 + 0o17) + chr(101) + chr(99) + '\x6f' + '\x64' + chr(0b1100101))('\x75' + '\164' + chr(102) + chr(0b1101 + 0o40) + '\x38'), packages=uvajEcqsJJsA(Ee2uuYhe3rVI))
with xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'U\xce^H'), chr(9262 - 9162) + '\x65' + chr(0b100110 + 0o75) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(11128 - 11011) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b10000 + 0o50)))(OFjYqkGBchbu, xafqLlk3kkUe(SXOLrMavuUCe(b'm'), '\144' + chr(0b1000110 + 0o37) + chr(0b1100011) + chr(111) + chr(0b1100100) + '\145')(chr(0b1110000 + 0o5) + '\x74' + chr(10126 - 10024) + chr(0b10 + 0o53) + chr(0b111000))) as EGyt1xfPT1P6:
xafqLlk3kkUe(EGyt1xfPT1P6, xafqLlk3kkUe(SXOLrMavuUCe(b'm\xccRR@'), '\144' + chr(7614 - 7513) + chr(99) + '\157' + '\x64' + chr(101))(chr(3729 - 3612) + chr(0b1011010 + 0o32) + '\146' + chr(0b101101) + '\070'))(yidt72f2tE9z)
Axm0j6S_1Lkn = ycVuWV7qCyDx(TAfumOAb90nE, x9cwAbV6Ol7j)
return Axm0j6S_1Lkn
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/cloud_mlengine.py
|
validate_flags
|
def validate_flags():
"""Validates flags are set to acceptable values for CloudML Engine runs."""
assert not job_dir()
assert FLAGS.output_dir.startswith("gs://")
assert FLAGS.data_dir.startswith("gs://")
assert FLAGS.worker_replicas <= 1
assert FLAGS.ps_replicas <= 0
if FLAGS.hparams_range:
assert FLAGS.autotune_objective
if FLAGS.worker_gpu:
assert FLAGS.worker_gpu in [1, 4, 8]
if FLAGS.cloud_mlengine_master_type:
if FLAGS.worker_gpu:
if FLAGS.worker_gpu == 1:
assert FLAGS.cloud_mlengine_master_type in ["standard_gpu",
"standard_p100"]
elif FLAGS.worker_gpu == 4:
assert FLAGS.cloud_mlengine_master_type in ["complex_model_m_gpu",
"complex_model_m_p100"]
else:
assert FLAGS.cloud_mlengine_master_type == "complex_model_l_gpu"
else:
assert FLAGS.cloud_mlengine_master_type in ["standard", "large_model",
"complex_model_s",
"complex_model_m",
"complex_model_l"]
|
python
|
def validate_flags():
"""Validates flags are set to acceptable values for CloudML Engine runs."""
assert not job_dir()
assert FLAGS.output_dir.startswith("gs://")
assert FLAGS.data_dir.startswith("gs://")
assert FLAGS.worker_replicas <= 1
assert FLAGS.ps_replicas <= 0
if FLAGS.hparams_range:
assert FLAGS.autotune_objective
if FLAGS.worker_gpu:
assert FLAGS.worker_gpu in [1, 4, 8]
if FLAGS.cloud_mlengine_master_type:
if FLAGS.worker_gpu:
if FLAGS.worker_gpu == 1:
assert FLAGS.cloud_mlengine_master_type in ["standard_gpu",
"standard_p100"]
elif FLAGS.worker_gpu == 4:
assert FLAGS.cloud_mlengine_master_type in ["complex_model_m_gpu",
"complex_model_m_p100"]
else:
assert FLAGS.cloud_mlengine_master_type == "complex_model_l_gpu"
else:
assert FLAGS.cloud_mlengine_master_type in ["standard", "large_model",
"complex_model_s",
"complex_model_m",
"complex_model_l"]
|
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] |
Validates flags are set to acceptable values for CloudML Engine runs.
|
[
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"CloudML",
"Engine",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/cloud_mlengine.py#L298-L323
|
train
|
Validates flags are set to acceptable values for CloudML Engine runs.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(587 - 539) + '\x6f' + chr(716 - 667) + '\x36' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(322 - 270) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(467 - 419) + chr(0b1001111 + 0o40) + '\x33' + chr(2329 - 2279) + '\063', 18705 - 18697), ehT0Px3KOsy9(chr(1276 - 1228) + chr(111) + '\063' + '\062' + chr(0b11011 + 0o26), 0b1000), ehT0Px3KOsy9(chr(2220 - 2172) + chr(4729 - 4618) + '\062' + chr(92 - 37) + '\065', 0b1000), ehT0Px3KOsy9(chr(536 - 488) + '\157' + chr(0b100100 + 0o15) + '\x32' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b100110 + 0o111) + chr(53) + chr(0b11010 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(1173 - 1125) + chr(111) + chr(1117 - 1066) + '\062' + chr(708 - 659), 8), ehT0Px3KOsy9(chr(0b110000) + chr(2169 - 2058) + '\x33' + chr(0b110111) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(610 - 559) + '\x36' + chr(2620 - 2565), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\x32' + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\x34' + chr(1075 - 1021), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101111 + 0o10) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110111) + chr(0b110101), 8), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\066' + chr(2005 - 1957), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\x30' + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + '\062' + '\x34' + chr(49), 0o10), ehT0Px3KOsy9(chr(416 - 368) + chr(0b1101111) + chr(0b110001) + chr(0b101 + 0o60) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010011 + 0o34) + chr(2211 - 2160) + '\067' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(2131 - 2083) + chr(0b101010 + 0o105) + chr(52) + chr(1247 - 1193), 8), ehT0Px3KOsy9(chr(309 - 261) + chr(0b1101111) + chr(0b100 + 0o56) + '\x34' + chr(0b11010 + 0o35), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(1767 - 1716) + '\062' + chr(1148 - 1099), 8), ehT0Px3KOsy9(chr(48) + chr(11543 - 11432) + chr(50) + chr(0b110110) + chr(53), 58045 - 58037), ehT0Px3KOsy9('\x30' + chr(3303 - 3192) + '\062' + chr(48) + chr(1393 - 1342), 0b1000), ehT0Px3KOsy9(chr(126 - 78) + chr(0b10111 + 0o130) + chr(0b110010) + '\062' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(1102 - 991) + chr(1600 - 1551) + chr(53) + chr(0b111 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11707 - 11596) + chr(0b10001 + 0o40) + '\064' + chr(0b110111), 36403 - 36395), ehT0Px3KOsy9(chr(277 - 229) + '\x6f' + '\067', 57494 - 57486), ehT0Px3KOsy9(chr(1373 - 1325) + chr(111) + '\061' + chr(0b110001) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1253 - 1205) + chr(0b1101100 + 0o3) + '\061' + '\061' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(841 - 793) + '\x6f' + chr(886 - 837) + '\x35' + '\060', 6944 - 6936), ehT0Px3KOsy9('\060' + '\157' + chr(1412 - 1363) + chr(54) + chr(1900 - 1850), 52726 - 52718), ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + '\x32' + chr(1461 - 1412) + chr(0b100101 + 0o15), 0o10), ehT0Px3KOsy9('\060' + chr(3445 - 3334) + chr(1406 - 1355) + chr(0b110011) + chr(0b101100 + 0o13), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(699 - 647) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2370 - 2259) + chr(0b111 + 0o56) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10100 + 0o133) + chr(49) + chr(0b110011) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(55) + '\067', 44599 - 44591), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\062' + '\062' + chr(134 - 81), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b11100 + 0o123) + chr(53) + chr(1112 - 1064), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b']'), '\144' + '\145' + chr(99) + chr(111) + '\144' + '\x65')(chr(0b1110101) + chr(0b1000111 + 0o55) + chr(102) + '\055' + chr(0b101000 + 0o20)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def rorYBhj9q0YL():
assert not k39POvkVmmOV()
assert xafqLlk3kkUe(vUTZFbqN0o8F.output_dir, xafqLlk3kkUe(SXOLrMavuUCe(b'\x00R\xb2\xa3\xc9 ]\xb8\x8c\x9f'), chr(8136 - 8036) + chr(0b100001 + 0o104) + '\143' + chr(0b1101111) + chr(5217 - 5117) + chr(0b1001011 + 0o32))(chr(117) + chr(0b1000000 + 0o64) + chr(0b1110 + 0o130) + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x14U\xe9\xfe\x92'), '\144' + chr(101) + chr(9271 - 9172) + chr(111) + '\144' + chr(0b1100101))(chr(11106 - 10989) + chr(0b110110 + 0o76) + chr(0b1101 + 0o131) + '\055' + chr(0b111000)))
assert xafqLlk3kkUe(vUTZFbqN0o8F.data_dir, xafqLlk3kkUe(SXOLrMavuUCe(b'\x00R\xb2\xa3\xc9 ]\xb8\x8c\x9f'), '\x64' + '\145' + chr(99) + chr(111) + chr(100) + chr(8471 - 8370))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b11 + 0o52) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x14U\xe9\xfe\x92'), chr(4248 - 4148) + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b1100101))('\165' + '\x74' + chr(102) + '\055' + chr(931 - 875)))
assert xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04I\xa1\xba\xd8!u\xa3\x9d\x878\x8f\\\xdc\x83'), chr(100) + chr(0b1100101) + '\x63' + '\157' + chr(0b1100100) + '\145')('\165' + '\x74' + chr(6462 - 6360) + chr(0b10100 + 0o31) + chr(559 - 503))) <= ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31', 0b1000)
assert xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b"\x03U\x8c\xa3\xd8#F\xb8\x9b\x96'"), chr(0b111100 + 0o50) + chr(0b1100101) + chr(0b1100011) + chr(0b1000110 + 0o51) + '\144' + chr(7993 - 7892))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(401 - 345))) <= ehT0Px3KOsy9(chr(1080 - 1032) + chr(111) + chr(0b110000), ord("\x08"))
if xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bV\xb2\xa3\xdc>Y\x8e\x8a\x96:\x81Z'), chr(0b1011 + 0o131) + chr(101) + '\x63' + chr(7749 - 7638) + chr(3304 - 3204) + chr(0b1100101))('\165' + '\x74' + chr(4211 - 4109) + chr(45) + '\070')):
assert xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12S\xa7\xbe\xc9&D\xb4\xa7\x986\x8cZ\xde\x84\xa8\xd7\t'), chr(0b1011011 + 0o11) + '\145' + chr(2243 - 2144) + '\x6f' + '\x64' + chr(0b111011 + 0o52))(chr(0b11111 + 0o126) + '\x74' + '\146' + '\x2d' + '\070'))
if xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04I\xa1\xba\xd8!u\xb6\x88\x82'), chr(0b1100100) + chr(0b1 + 0o144) + '\143' + chr(0b1101111) + chr(5642 - 5542) + chr(0b1011011 + 0o12))(chr(117) + chr(0b1011010 + 0o32) + chr(0b1100110) + chr(0b100 + 0o51) + chr(0b111000))):
assert xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04I\xa1\xba\xd8!u\xb6\x88\x82'), chr(0b110111 + 0o55) + '\145' + '\x63' + chr(0b1101110 + 0o1) + chr(100) + chr(0b1100101))(chr(5196 - 5079) + chr(4117 - 4001) + '\x66' + chr(45) + '\070')) in [ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1011 + 0o46), 8), ehT0Px3KOsy9('\x30' + chr(0b111000 + 0o67) + chr(450 - 398), 37204 - 37196), ehT0Px3KOsy9('\060' + '\157' + chr(208 - 159) + chr(0b1101 + 0o43), 10057 - 10049)]
if xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10J\xbc\xa4\xd9\x0cG\xbd\x9d\x993\x8fQ\xd8\xaf\xac\xc0\x1f\x8bC\xd5\x8e\xc1\xfa\xe7\x0e'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(111) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(193 - 148) + '\070')):
if xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04I\xa1\xba\xd8!u\xb6\x88\x82'), '\x64' + chr(0b1011111 + 0o6) + chr(0b1100011) + chr(0b11000 + 0o127) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b10101 + 0o30) + chr(56))):
if xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04I\xa1\xba\xd8!u\xb6\x88\x82'), '\x64' + '\x65' + chr(0b110101 + 0o56) + '\157' + '\x64' + '\x65')('\165' + chr(116) + '\146' + '\x2d' + chr(1693 - 1637))) == ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', 8):
assert xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10J\xbc\xa4\xd9\x0cG\xbd\x9d\x993\x8fQ\xd8\xaf\xac\xc0\x1f\x8bC\xd5\x8e\xc1\xfa\xe7\x0e'), chr(7143 - 7043) + chr(101) + chr(7870 - 7771) + chr(5599 - 5488) + chr(3886 - 3786) + '\145')(chr(8475 - 8358) + '\x74' + '\x66' + chr(0b10011 + 0o32) + chr(82 - 26))) in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x00R\xb2\xbf\xd92X\xb5\xa7\x90$\x93'), chr(2316 - 2216) + chr(0b1100101) + chr(99) + chr(5340 - 5229) + chr(0b1000110 + 0o36) + chr(6020 - 5919))(chr(117) + '\164' + chr(102) + chr(0b10011 + 0o32) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x00R\xb2\xbf\xd92X\xb5\xa7\x87e\xd6\x0f'), '\x64' + chr(0b110100 + 0o61) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b11101 + 0o130) + '\x74' + chr(4397 - 4295) + chr(0b101101) + '\x38')]
elif xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04I\xa1\xba\xd8!u\xb6\x88\x82'), '\x64' + chr(101) + chr(4660 - 4561) + chr(0b11110 + 0o121) + chr(6776 - 6676) + chr(0b1010111 + 0o16))(chr(117) + '\x74' + chr(0b1010011 + 0o23) + chr(0b101101) + chr(0b111000))) == ehT0Px3KOsy9('\x30' + chr(111) + '\064', 8):
assert xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10J\xbc\xa4\xd9\x0cG\xbd\x9d\x993\x8fQ\xd8\xaf\xac\xc0\x1f\x8bC\xd5\x8e\xc1\xfa\xe7\x0e'), chr(100) + '\x65' + chr(3262 - 3163) + chr(0b1011100 + 0o23) + '\x64' + chr(0b101011 + 0o72))(chr(0b1110101) + chr(5561 - 5445) + chr(102) + '\x2d' + '\x38')) in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x10I\xbe\xa1\xd16R\x8e\x95\x980\x83S\xe2\x9d\x9e\xc6\x1c\x8a'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + '\164' + chr(0b100110 + 0o100) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x10I\xbe\xa1\xd16R\x8e\x95\x980\x83S\xe2\x9d\x9e\xd1]\xcf\x16'), '\x64' + '\145' + '\143' + '\157' + chr(0b1010110 + 0o16) + chr(101))(chr(117) + chr(0b0 + 0o164) + chr(102) + '\x2d' + chr(0b11010 + 0o36))]
else:
assert xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10J\xbc\xa4\xd9\x0cG\xbd\x9d\x993\x8fQ\xd8\xaf\xac\xc0\x1f\x8bC\xd5\x8e\xc1\xfa\xe7\x0e'), chr(7018 - 6918) + chr(0b1100101) + chr(5235 - 5136) + '\157' + '\144' + chr(2642 - 2541))(chr(0b1110101) + chr(0b1110100) + chr(7009 - 6907) + chr(45) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x10I\xbe\xa1\xd16R\x8e\x95\x980\x83S\xe2\x9c\x9e\xc6\x1c\x8a'), '\144' + chr(101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b1100101))('\x75' + '\164' + chr(102) + chr(1856 - 1811) + chr(0b111000))
else:
assert xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10J\xbc\xa4\xd9\x0cG\xbd\x9d\x993\x8fQ\xd8\xaf\xac\xc0\x1f\x8bC\xd5\x8e\xc1\xfa\xe7\x0e'), chr(0b1010 + 0o132) + chr(0b1100101) + chr(0b1010010 + 0o21) + chr(0b101001 + 0o106) + chr(4346 - 4246) + chr(8411 - 8310))('\x75' + '\x74' + '\x66' + chr(0b100000 + 0o15) + chr(2363 - 2307))) in [xafqLlk3kkUe(SXOLrMavuUCe(b'\x00R\xb2\xbf\xd92X\xb5'), '\144' + '\x65' + chr(99) + chr(11803 - 11692) + chr(0b111011 + 0o51) + chr(101))('\165' + chr(13347 - 13231) + chr(0b1011 + 0o133) + chr(647 - 602) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1fG\xa1\xb6\xd8\x0cG\xbe\x9c\x928'), chr(572 - 472) + '\x65' + '\x63' + chr(9662 - 9551) + '\144' + '\145')(chr(117) + '\164' + '\146' + chr(0b101101) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x10I\xbe\xa1\xd16R\x8e\x95\x980\x83S\xe2\x83'), chr(0b1100100) + chr(0b100100 + 0o101) + chr(4128 - 4029) + '\157' + chr(100) + chr(6484 - 6383))(chr(0b1110101) + chr(0b100110 + 0o116) + chr(102) + chr(1828 - 1783) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x10I\xbe\xa1\xd16R\x8e\x95\x980\x83S\xe2\x9d'), '\x64' + chr(0b1100 + 0o131) + chr(4572 - 4473) + '\x6f' + chr(100) + '\145')(chr(117) + chr(0b1110100) + chr(0b11011 + 0o113) + chr(0b101101) + chr(835 - 779)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x10I\xbe\xa1\xd16R\x8e\x95\x980\x83S\xe2\x9c'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(6189 - 6089) + chr(5003 - 4902))('\165' + chr(10507 - 10391) + chr(0b1100110) + '\055' + chr(56))]
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/cloud_mlengine.py
|
launch
|
def launch():
"""Launch t2t_trainer on Cloud ML Engine."""
validate_flags()
job_spec = configure_job()
job_name = job_spec["jobId"]
tf.logging.info("Launching job %s with ML Engine spec:\n%s", job_name,
pprint.pformat(job_spec))
assert confirm()
train_dir = FLAGS.output_dir
t2t_tar = tar_and_copy_t2t(train_dir)
configure_trainer_package(job_spec, t2t_tar)
if FLAGS.t2t_usr_dir:
usr_tar = tar_and_copy_usr_dir(FLAGS.t2t_usr_dir, train_dir)
configure_usr_dir(job_spec, usr_tar)
launch_job(job_spec)
tf.logging.info("Launched %s. See console to track: %s.", job_name,
CONSOLE_URL)
tf.logging.info("Interact with the training job from the command line:")
tf.logging.info("Abort job: gcloud ml-engine jobs cancel %s", job_name)
tf.logging.info("Stream logs: gcloud ml-engine jobs stream-logs %s", job_name)
tf.logging.info("Open tensorboard: tensorboard --logdir %s", train_dir)
|
python
|
def launch():
"""Launch t2t_trainer on Cloud ML Engine."""
validate_flags()
job_spec = configure_job()
job_name = job_spec["jobId"]
tf.logging.info("Launching job %s with ML Engine spec:\n%s", job_name,
pprint.pformat(job_spec))
assert confirm()
train_dir = FLAGS.output_dir
t2t_tar = tar_and_copy_t2t(train_dir)
configure_trainer_package(job_spec, t2t_tar)
if FLAGS.t2t_usr_dir:
usr_tar = tar_and_copy_usr_dir(FLAGS.t2t_usr_dir, train_dir)
configure_usr_dir(job_spec, usr_tar)
launch_job(job_spec)
tf.logging.info("Launched %s. See console to track: %s.", job_name,
CONSOLE_URL)
tf.logging.info("Interact with the training job from the command line:")
tf.logging.info("Abort job: gcloud ml-engine jobs cancel %s", job_name)
tf.logging.info("Stream logs: gcloud ml-engine jobs stream-logs %s", job_name)
tf.logging.info("Open tensorboard: tensorboard --logdir %s", train_dir)
|
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] |
Launch t2t_trainer on Cloud ML Engine.
|
[
"Launch",
"t2t_trainer",
"on",
"Cloud",
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"Engine",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/cloud_mlengine.py#L331-L351
|
train
|
Launch t2t_trainer on Cloud ML Engine.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(1606 - 1554) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(54) + chr(1310 - 1256), 0b1000), ehT0Px3KOsy9(chr(440 - 392) + chr(111) + chr(0b11111 + 0o27) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(0b110010) + chr(0b110110) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1000 + 0o53) + '\x31' + chr(51), 13603 - 13595), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(54) + chr(0b1 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\x32' + chr(2481 - 2429) + '\067', 56248 - 56240), ehT0Px3KOsy9(chr(0b110000) + chr(0b10011 + 0o134) + chr(0b111 + 0o54) + '\063' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4237 - 4126) + chr(51) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(212 - 164) + '\x6f' + '\062' + chr(1167 - 1112) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + chr(51) + chr(805 - 750) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\063' + '\061', 0o10), ehT0Px3KOsy9(chr(731 - 683) + chr(2333 - 2222) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(0b110011) + chr(0b110001) + '\065', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(2265 - 2214) + '\063' + '\064', 8), ehT0Px3KOsy9('\x30' + chr(0b1010101 + 0o32) + '\061' + chr(0b110001) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + '\062' + chr(0b110001) + chr(0b11001 + 0o27), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110100) + chr(51), 17214 - 17206), ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + chr(0b110011) + chr(51) + chr(0b11010 + 0o34), 38855 - 38847), ehT0Px3KOsy9('\x30' + chr(794 - 683) + chr(0b100 + 0o55) + chr(222 - 170) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\x31' + '\x35', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(80 - 29) + chr(0b110001) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100111 + 0o20) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101 + 0o142) + chr(0b11101 + 0o24) + chr(0b11 + 0o62) + chr(2504 - 2453), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + chr(51) + chr(0b100011 + 0o15) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10 + 0o61) + chr(48) + '\061', 54786 - 54778), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10 + 0o57) + chr(54) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1812 - 1701) + chr(0b101000 + 0o13) + '\x32' + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(516 - 466) + chr(2470 - 2420), ord("\x08")), ehT0Px3KOsy9(chr(1325 - 1277) + chr(0b1101111) + chr(2395 - 2344) + '\x30' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1000 + 0o147) + chr(0b110010) + '\x35' + chr(0b10010 + 0o43), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110101) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\x31' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(715 - 664) + chr(826 - 778) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(470 - 420) + '\064' + chr(0b110000), 46372 - 46364), ehT0Px3KOsy9(chr(0b110000) + chr(843 - 732) + chr(573 - 521) + '\063', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101100 + 0o6) + '\x37' + chr(0b110011), 8), ehT0Px3KOsy9('\060' + '\157' + chr(129 - 77) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11000 + 0o127) + chr(0b110001) + '\060' + chr(0b110111), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x35' + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f'), '\x64' + '\145' + chr(99) + chr(111) + '\144' + chr(0b1100101))(chr(0b111 + 0o156) + chr(116) + chr(102) + '\055' + chr(0b101111 + 0o11)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uVT0Y5BZyRiG():
rorYBhj9q0YL()
unN0p7fZXfvI = Ih_EYvKtUJx5()
bwrSnL6FukBd = unN0p7fZXfvI[xafqLlk3kkUe(SXOLrMavuUCe(b'KpT}\xd4'), chr(1380 - 1280) + chr(0b1100101) + chr(3031 - 2932) + '\x6f' + '\x64' + chr(0b1 + 0o144))(chr(0b1110101) + chr(3127 - 3011) + chr(2580 - 2478) + chr(567 - 522) + '\x38')]
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'r(~L\xc5\xa8R\x90\xb6r\xe1\x96'), '\x64' + '\x65' + chr(0b1010011 + 0o20) + chr(111) + '\x64' + '\145')(chr(0b1101011 + 0o12) + chr(11066 - 10950) + chr(0b1100110) + chr(0b101000 + 0o5) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'm~CZ\xd3\xa3\\\xc9\xbb>\xd1\x92\xbb$\xe8\xafm\xffJ\xaa\x0b\xed\x84rK\x86\xaf\x14\xbf|\xa7\x8d[\xb8\xa0\xc3\x19\xb1\x004'), chr(2932 - 2832) + chr(503 - 402) + chr(0b1100011) + chr(0b1101111) + chr(4823 - 4723) + chr(101))(chr(0b1001110 + 0o47) + chr(0b11 + 0o161) + chr(102) + '\x2d' + chr(0b110101 + 0o3)), bwrSnL6FukBd, xafqLlk3kkUe(quvQcGrKjCXS, xafqLlk3kkUe(SXOLrMavuUCe(b'QyYF\xdd\xaaA'), chr(4550 - 4450) + chr(2903 - 2802) + chr(99) + chr(0b1110 + 0o141) + chr(4802 - 4702) + chr(1592 - 1491))('\165' + '\x74' + chr(0b1011001 + 0o15) + chr(947 - 902) + '\x38'))(unN0p7fZXfvI))
assert pHpzm79sMqyP()
x9cwAbV6Ol7j = vUTZFbqN0o8F.nd0OX_BS6_o4
xK0IeppUlWJP = nwKMx74nZAZ6(x9cwAbV6Ol7j)
KRtiGJI2c0Xv(unN0p7fZXfvI, xK0IeppUlWJP)
if xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'U-Bk\xc5\xb8G\xf8\xb8w\xc9'), '\x64' + chr(0b101111 + 0o66) + chr(99) + '\x6f' + chr(8226 - 8126) + chr(101))(chr(8633 - 8516) + chr(0b1100010 + 0o22) + chr(0b1011101 + 0o11) + chr(0b101101) + chr(1703 - 1647))):
Axm0j6S_1Lkn = rdmO54OdPVhv(vUTZFbqN0o8F.t2t_usr_dir, x9cwAbV6Ol7j)
em2tBnv7LRrN(unN0p7fZXfvI, Axm0j6S_1Lkn)
D72Gw9QfaUIC(unN0p7fZXfvI)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'r(~L\xc5\xa8R\x90\xb6r\xe1\x96'), chr(100) + chr(101) + chr(0b1011011 + 0o10) + chr(111) + '\144' + '\145')(chr(117) + '\164' + chr(0b1100110) + chr(1082 - 1037) + chr(0b1001 + 0o57)))(xafqLlk3kkUe(SXOLrMavuUCe(b'm~CZ\xd3\xa3P\xc3\xfc;\xc8\xd3\xf9W\xa8\xb9m\xebL\xb0\x10\xa2\xa5[K\xb7\xaeS\xa2`\xa3\xceC\xf2\xe5\x85P\x95'), chr(0b1100100) + '\145' + chr(3300 - 3201) + chr(8561 - 8450) + '\144' + chr(101))('\165' + '\x74' + '\x66' + chr(0b11 + 0o52) + '\070'), bwrSnL6FukBd, y8xnKnWun_ib)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'r(~L\xc5\xa8R\x90\xb6r\xe1\x96'), '\x64' + chr(4062 - 3961) + chr(99) + chr(0b1101111) + chr(0b1000001 + 0o43) + chr(0b1000000 + 0o45))(chr(0b1110010 + 0o3) + '\164' + chr(102) + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'hqBQ\xc2\xaaV\xd3\xfci\xd2\x89\xb1$\xb9\xb4(\xa8W\xac\x02\xa4\xa7W\x05\xa4\xe1\x19\xb9p\xe2\xcbZ\xa7\xa8\x80W\xd3@gBp[Y\xd1\xa5Q\x87\xb0w\xd5\x98\xe3'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b10001 + 0o123) + chr(0b1100101))('\165' + chr(0b1101001 + 0o13) + chr(7565 - 7463) + '\055' + chr(2731 - 2675)))
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'r(~L\xc5\xa8R\x90\xb6r\xe1\x96'), '\x64' + '\145' + chr(3986 - 3887) + chr(0b1100 + 0o143) + chr(6416 - 6316) + chr(0b101010 + 0o73))(chr(0b1110101) + chr(0b1110100) + chr(0b1110 + 0o130) + chr(460 - 415) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'`}YF\xc4\xeb_\xc8\xbe$\x9b\x9a\xbah\xa2\xa9)\xa8N\xb2N\xa8\xa7Y\x02\xad\xa4S\xbc}\xa0\xde\x08\xab\xa4\xce@\xdeIg\x04l'), chr(100) + chr(0b1010011 + 0o22) + '\x63' + chr(111) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(4643 - 4527) + chr(9539 - 9437) + '\055' + chr(0b100100 + 0o24)), bwrSnL6FukBd)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'r(~L\xc5\xa8R\x90\xb6r\xe1\x96'), '\x64' + chr(1029 - 928) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(7326 - 7225))('\165' + chr(10494 - 10378) + chr(102) + '\055' + chr(0b100111 + 0o21)))(xafqLlk3kkUe(SXOLrMavuUCe(b'rkDQ\xd1\xa6\x15\xcb\xb3y\xc8\xc7\xf9c\xae\xb0"\xfdG\xfe\x0e\xa1\xe4[\x05\xa4\xa8\x1d\xb32\xa8\xc2J\xbb\xe5\xd3W\xc9@&L2Z[\xd7\xb8\x15\x82\xaf'), chr(0b1100010 + 0o2) + chr(2176 - 2075) + '\x63' + chr(0b110010 + 0o75) + chr(8457 - 8357) + '\145')(chr(0b1000011 + 0o62) + '\x74' + chr(102) + chr(0b1001 + 0o44) + chr(0b111000)), bwrSnL6FukBd)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'r(~L\xc5\xa8R\x90\xb6r\xe1\x96'), chr(0b1100100) + chr(8856 - 8755) + chr(0b1100010 + 0o1) + chr(0b1010001 + 0o36) + '\144' + '\145')(chr(2215 - 2098) + chr(116) + '\146' + chr(1234 - 1189) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'noSZ\x90\xbfP\xc9\xafq\xc9\x9f\xb6e\xbf\xb8w\xa8W\xbb\r\xbe\xa6L\t\xac\xa0\x01\xb22\xef\x80D\xa7\xa2\xc4J\xc9\x05bR'), chr(100) + chr(0b1100101) + chr(0b1000100 + 0o37) + chr(0b10010 + 0o135) + chr(0b1100100) + chr(101))(chr(117) + chr(0b1110100) + '\x66' + '\055' + '\x38'), x9cwAbV6Ol7j)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/bayes.py
|
add_weight
|
def add_weight(cls):
"""Decorator for Layers, overriding add_weight for trainable initializers."""
@functools.wraps(cls.add_weight)
def _add_weight(self,
name=None,
shape=None,
dtype=None,
initializer=None,
regularizer=None,
**kwargs):
"""Adds weight."""
if isinstance(initializer, tf.keras.layers.Layer):
weight = initializer(shape, dtype)
self._trainable_weights.extend(initializer.trainable_weights) # pylint: disable=protected-access
self._non_trainable_weights.extend(initializer.non_trainable_weights) # pylint: disable=protected-access
if regularizer is not None:
# TODO(trandustin): Replace need for this with
# Layer._handle_weight_regularization. For Eager compatibility, random
# variable __init__s cannot apply TF ops (cl/220898007).
def loss_fn():
"""Creates a regularization loss `Tensor`."""
with tf.name_scope(name + '/Regularizer'):
return regularizer(initializer(shape, dtype))
self.add_loss(loss_fn)
return weight
return super(cls, self).add_weight(name=name,
shape=shape,
dtype=dtype,
initializer=initializer,
regularizer=regularizer,
**kwargs)
cls.add_weight = _add_weight
return cls
|
python
|
def add_weight(cls):
"""Decorator for Layers, overriding add_weight for trainable initializers."""
@functools.wraps(cls.add_weight)
def _add_weight(self,
name=None,
shape=None,
dtype=None,
initializer=None,
regularizer=None,
**kwargs):
"""Adds weight."""
if isinstance(initializer, tf.keras.layers.Layer):
weight = initializer(shape, dtype)
self._trainable_weights.extend(initializer.trainable_weights) # pylint: disable=protected-access
self._non_trainable_weights.extend(initializer.non_trainable_weights) # pylint: disable=protected-access
if regularizer is not None:
# TODO(trandustin): Replace need for this with
# Layer._handle_weight_regularization. For Eager compatibility, random
# variable __init__s cannot apply TF ops (cl/220898007).
def loss_fn():
"""Creates a regularization loss `Tensor`."""
with tf.name_scope(name + '/Regularizer'):
return regularizer(initializer(shape, dtype))
self.add_loss(loss_fn)
return weight
return super(cls, self).add_weight(name=name,
shape=shape,
dtype=dtype,
initializer=initializer,
regularizer=regularizer,
**kwargs)
cls.add_weight = _add_weight
return cls
|
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"cls",
")",
":",
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"functools",
".",
"wraps",
"(",
"cls",
".",
"add_weight",
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"# TODO(trandustin): Replace need for this with",
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"# variable __init__s cannot apply TF ops (cl/220898007).",
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"\"\"\"Creates a regularization loss `Tensor`.\"\"\"",
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] |
Decorator for Layers, overriding add_weight for trainable initializers.
|
[
"Decorator",
"for",
"Layers",
"overriding",
"add_weight",
"for",
"trainable",
"initializers",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/bayes.py#L32-L64
|
train
|
Decorator for Layer subclasses overriding add_weight for non - trainable initializers.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(0b101111 + 0o4) + chr(51) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100101 + 0o16) + chr(55) + chr(0b10 + 0o65), 6655 - 6647), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110101) + chr(0b110011), 408 - 400), ehT0Px3KOsy9(chr(926 - 878) + '\157' + chr(49) + '\061' + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b10111 + 0o36) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9251 - 9140) + chr(0b11 + 0o57) + '\067' + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(54) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b100101 + 0o21) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(52) + chr(922 - 867), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\063' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(0b100010 + 0o22) + chr(1724 - 1670), 15391 - 15383), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(55) + chr(55), 182 - 174), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b110110) + chr(1667 - 1614), 23058 - 23050), ehT0Px3KOsy9(chr(0b110000) + chr(827 - 716) + chr(0b100010 + 0o17) + chr(0b110010) + '\063', 41566 - 41558), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001 + 0o1) + chr(54) + chr(843 - 791), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2073 - 2024) + '\x37' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(2184 - 2136) + chr(0b11101 + 0o122) + '\x31' + chr(54) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(50) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(49) + chr(0b110001), 32004 - 31996), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(54) + '\x34', 48879 - 48871), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b101100 + 0o103) + chr(1809 - 1757) + '\066', 8), ehT0Px3KOsy9(chr(838 - 790) + chr(111) + '\061' + chr(0b10 + 0o57) + chr(50), 61513 - 61505), ehT0Px3KOsy9(chr(2275 - 2227) + chr(0b11010 + 0o125) + chr(0b100000 + 0o21) + chr(1856 - 1805) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9036 - 8925) + '\x35' + chr(53), 13801 - 13793), ehT0Px3KOsy9('\060' + chr(2963 - 2852) + chr(50) + '\067' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1423 - 1375) + chr(0b1101111) + chr(1875 - 1825) + chr(0b110001) + chr(2534 - 2480), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11111 + 0o22) + chr(2153 - 2101) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(542 - 494) + chr(111) + '\063' + '\x34' + '\x37', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011 + 0o0) + chr(0b110010) + chr(230 - 181), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(610 - 556) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3197 - 3086) + chr(0b100110 + 0o15) + '\062' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(55) + '\063', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100011 + 0o20) + chr(0b11000 + 0o31) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\x33' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001101 + 0o42) + chr(55) + chr(0b110010), 36640 - 36632), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + '\x31' + chr(49) + '\061', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10001 + 0o44) + '\x30', 6167 - 6159)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1'), chr(6150 - 6050) + chr(0b10001 + 0o124) + chr(99) + chr(5971 - 5860) + chr(0b1011001 + 0o13) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(102) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def icecpr1PURxp(NSstowUUZlxS):
@xafqLlk3kkUe(E6ula8_Zv1yl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbcR\xb0\x8a\x01[\n\xe3E\xbb\x88\xe9'), '\x64' + chr(0b1000000 + 0o45) + chr(9378 - 9279) + chr(111) + chr(0b1011000 + 0o14) + chr(0b10110 + 0o117))(chr(117) + '\164' + '\x66' + '\x2d' + '\070'))(xafqLlk3kkUe(NSstowUUZlxS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbec\x9b\xb4;d\x05\xdd\x1f\x87'), '\x64' + '\x65' + chr(99) + '\157' + chr(0b111001 + 0o53) + chr(0b1000011 + 0o42))('\x75' + '\164' + '\x66' + '\055' + chr(2679 - 2623))))
def H6aeUaf7ZaqW(oVre8I6UXc3b, AIvJRzLdDfgF=None, nauYfLglTpcb=None, jSV9IKnemH7K=None, kwfuYzkY5C57=None, C7vczRj5NoUY=None, **M8EIoTs2GJXE):
if PlSM16l2KDPD(kwfuYzkY5C57, xafqLlk3kkUe(IDJ2eXGCBCDu.keras.layers, xafqLlk3kkUe(SXOLrMavuUCe(b'\x93f\x86\x8e>'), '\x64' + chr(0b1010101 + 0o20) + chr(0b11101 + 0o106) + chr(0b100 + 0o153) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(583 - 538) + chr(56)))):
C0mVSPj6WjvB = kwfuYzkY5C57(nauYfLglTpcb, jSV9IKnemH7K)
xafqLlk3kkUe(oVre8I6UXc3b._trainable_weights, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x7f\x8b\x8e"e'), chr(0b11011 + 0o111) + '\x65' + chr(0b100 + 0o137) + chr(9731 - 9620) + chr(0b111100 + 0o50) + chr(1992 - 1891))('\x75' + chr(3029 - 2913) + '\146' + chr(1145 - 1100) + '\070'))(xafqLlk3kkUe(kwfuYzkY5C57, xafqLlk3kkUe(SXOLrMavuUCe(b'\xabu\x9e\x82"`\x0e\xd6\x12\xac\x90\xbdJA\x17\x81 '), chr(0b100 + 0o140) + chr(0b10101 + 0o120) + chr(0b1010010 + 0o21) + chr(0b111111 + 0o60) + '\144' + '\145')(chr(117) + '\164' + chr(102) + '\x2d' + '\x38')))
xafqLlk3kkUe(oVre8I6UXc3b._non_trainable_weights, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x7f\x8b\x8e"e'), '\x64' + chr(8012 - 7911) + '\143' + chr(0b1101111) + chr(2725 - 2625) + '\x65')(chr(0b1111 + 0o146) + '\x74' + chr(0b1100110) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(kwfuYzkY5C57, xafqLlk3kkUe(SXOLrMavuUCe(b"\xb1h\x91\xb48s\r\xd3\x19\x92\x85\xb4Fy\x08\x90:\xd3\x13\x02'"), chr(0b1011110 + 0o6) + chr(0b1100100 + 0o1) + chr(0b1100011) + chr(0b1101011 + 0o4) + chr(0b1100100) + chr(101))(chr(117) + chr(6075 - 5959) + '\x66' + chr(45) + chr(56))))
if C7vczRj5NoUY is not None:
def zwuOH73Eqa5T():
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1f\x92\x8e\x13r\x0f\xd5\x07\x96'), chr(0b111100 + 0o50) + chr(0b1100101) + chr(9508 - 9409) + chr(111) + '\x64' + chr(0b101000 + 0o75))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b110 + 0o47) + chr(0b101 + 0o63)))(AIvJRzLdDfgF + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0U\x9a\x8c9m\r\xc8\x1e\x89\x82\xaa'), '\144' + '\x65' + '\143' + '\x6f' + chr(0b1100100) + chr(8323 - 8222))(chr(0b1001101 + 0o50) + chr(0b1110100) + chr(168 - 66) + chr(675 - 630) + chr(0b111000))):
return C7vczRj5NoUY(kwfuYzkY5C57(nauYfLglTpcb, jSV9IKnemH7K))
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbec\x9b\xb4 n\x1f\xc9'), '\x64' + chr(2103 - 2002) + '\x63' + '\x6f' + chr(2700 - 2600) + '\x65')(chr(0b1011111 + 0o26) + chr(116) + chr(102) + '\055' + '\x38'))(zwuOH73Eqa5T)
return C0mVSPj6WjvB
return xafqLlk3kkUe(KNx0Ujaz9UM0(NSstowUUZlxS, oVre8I6UXc3b), xafqLlk3kkUe(SXOLrMavuUCe(b'\xbec\x9b\xb4;d\x05\xdd\x1f\x87'), chr(0b1100100) + '\x65' + chr(0b10101 + 0o116) + chr(5655 - 5544) + chr(0b1100100) + chr(7112 - 7011))(chr(730 - 613) + chr(6698 - 6582) + '\146' + '\x2d' + chr(56)))(name=AIvJRzLdDfgF, shape=nauYfLglTpcb, dtype=jSV9IKnemH7K, initializer=kwfuYzkY5C57, regularizer=C7vczRj5NoUY, **M8EIoTs2GJXE)
NSstowUUZlxS.icecpr1PURxp = H6aeUaf7ZaqW
return NSstowUUZlxS
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/base_vae.py
|
NextFrameBaseVae.get_beta
|
def get_beta(self, kl_loss=0.0):
"""Get the KL multiplier, either dynamically or schedule based.
if hparams.latent_loss_multiplier_dynamic is set to true, then beta
is being adjusted to keep KL under hparams.latent_loss_multiplier_epsilon.
In order to do so, the beta is being updated at each iteration
by taking steps of size hparams.latent_loss_multiplier_alpha.
The same formulation can be retrieved by solving the Lagrangian
with KL < epsilon as a constraint.
Args:
kl_loss: KL loss. Only used for dynamic adjustment.
Returns:
beta: the final value of beta.
"""
if self.hparams.latent_loss_multiplier_dynamic:
beta = tf.Variable(self.hparams.latent_loss_multiplier,
trainable=False, dtype=tf.float32)
alpha = self.hparams.latent_loss_multiplier_alpha
epsilon = self.hparams.latent_loss_multiplier_epsilon
shadow_beta = beta + alpha * (kl_loss - epsilon)
# Caping the beta between 0 and 1. May need to change this later on.
shadow_beta = tf.maximum(shadow_beta, 0.0)
shadow_beta = tf.minimum(shadow_beta, 1.0)
update_op = tf.assign(beta, shadow_beta)
else:
beta = common_video.beta_schedule(
schedule=self.hparams.latent_loss_multiplier_schedule,
global_step=self.get_iteration_num(),
final_beta=self.hparams.latent_loss_multiplier,
decay_start=(self.hparams.num_iterations_1st_stage +
self.hparams.num_iterations_2nd_stage),
decay_end=self.hparams.anneal_end)
update_op = tf.identity(beta) # fake update for regular beta.
with tf.control_dependencies([update_op]):
tf.summary.scalar("beta", beta)
return beta
|
python
|
def get_beta(self, kl_loss=0.0):
"""Get the KL multiplier, either dynamically or schedule based.
if hparams.latent_loss_multiplier_dynamic is set to true, then beta
is being adjusted to keep KL under hparams.latent_loss_multiplier_epsilon.
In order to do so, the beta is being updated at each iteration
by taking steps of size hparams.latent_loss_multiplier_alpha.
The same formulation can be retrieved by solving the Lagrangian
with KL < epsilon as a constraint.
Args:
kl_loss: KL loss. Only used for dynamic adjustment.
Returns:
beta: the final value of beta.
"""
if self.hparams.latent_loss_multiplier_dynamic:
beta = tf.Variable(self.hparams.latent_loss_multiplier,
trainable=False, dtype=tf.float32)
alpha = self.hparams.latent_loss_multiplier_alpha
epsilon = self.hparams.latent_loss_multiplier_epsilon
shadow_beta = beta + alpha * (kl_loss - epsilon)
# Caping the beta between 0 and 1. May need to change this later on.
shadow_beta = tf.maximum(shadow_beta, 0.0)
shadow_beta = tf.minimum(shadow_beta, 1.0)
update_op = tf.assign(beta, shadow_beta)
else:
beta = common_video.beta_schedule(
schedule=self.hparams.latent_loss_multiplier_schedule,
global_step=self.get_iteration_num(),
final_beta=self.hparams.latent_loss_multiplier,
decay_start=(self.hparams.num_iterations_1st_stage +
self.hparams.num_iterations_2nd_stage),
decay_end=self.hparams.anneal_end)
update_op = tf.identity(beta) # fake update for regular beta.
with tf.control_dependencies([update_op]):
tf.summary.scalar("beta", beta)
return beta
|
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] |
Get the KL multiplier, either dynamically or schedule based.
if hparams.latent_loss_multiplier_dynamic is set to true, then beta
is being adjusted to keep KL under hparams.latent_loss_multiplier_epsilon.
In order to do so, the beta is being updated at each iteration
by taking steps of size hparams.latent_loss_multiplier_alpha.
The same formulation can be retrieved by solving the Lagrangian
with KL < epsilon as a constraint.
Args:
kl_loss: KL loss. Only used for dynamic adjustment.
Returns:
beta: the final value of beta.
|
[
"Get",
"the",
"KL",
"multiplier",
"either",
"dynamically",
"or",
"schedule",
"based",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/base_vae.py#L34-L72
|
train
|
Get the KL multiplier.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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) + '\x35' + chr(0b10100 + 0o34), 0o10), ehT0Px3KOsy9('\x30' + chr(3034 - 2923) + chr(0b110001) + '\x34' + chr(0b110 + 0o54), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b1001 + 0o51) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + '\x32' + chr(0b100101 + 0o17) + chr(53), 5882 - 5874), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(0b110110) + chr(0b10011 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(232 - 184) + chr(7120 - 7009) + chr(51) + chr(941 - 890) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b11 + 0o60) + chr(0b10110 + 0o40) + chr(997 - 944), 10156 - 10148), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11010 + 0o31) + chr(53) + chr(53), 51789 - 51781), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + '\063' + chr(0b110011) + chr(1692 - 1637), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101110 + 0o5) + '\x34' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b100101 + 0o21) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11010 + 0o125) + '\061' + '\065' + chr(53), 7009 - 7001), ehT0Px3KOsy9(chr(48) + '\x6f' + '\065' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(496 - 385) + chr(51) + chr(0b10011 + 0o40) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011 + 0o144) + chr(0b11001 + 0o32) + '\x34' + chr(0b1111 + 0o45), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(12025 - 11914) + chr(899 - 850) + chr(1118 - 1070) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3781 - 3670) + chr(0b110010) + chr(0b110010) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100000 + 0o23) + chr(0b110011) + chr(667 - 612), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + chr(0b101101 + 0o7) + chr(0b110101), 33678 - 33670), ehT0Px3KOsy9('\x30' + chr(111) + chr(59 - 8) + chr(0b110111) + chr(0b100101 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b111000 + 0o67) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11111 + 0o120) + chr(0b110101) + '\060', 8), ehT0Px3KOsy9(chr(132 - 84) + chr(0b1101111) + chr(0b100110 + 0o14) + '\063' + '\x35', 26073 - 26065), ehT0Px3KOsy9(chr(0b110000) + chr(0b101010 + 0o105) + chr(0b1100 + 0o52) + chr(0b110 + 0o53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + '\x31' + chr(0b110001) + chr(0b110100), 31755 - 31747), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(52) + chr(0b10110 + 0o36), 0o10), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + '\x34' + chr(0b101110 + 0o4), 47631 - 47623), ehT0Px3KOsy9(chr(131 - 83) + chr(1646 - 1535) + chr(1850 - 1800) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1318 - 1269) + '\066' + chr(0b11 + 0o63), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1090 - 1040) + chr(49) + chr(0b101 + 0o56), 40869 - 40861), ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + chr(0b11111 + 0o23) + '\064' + '\x37', 0o10), ehT0Px3KOsy9(chr(442 - 394) + chr(111) + chr(0b110011) + chr(53) + chr(0b110100), 36633 - 36625), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + '\x33' + chr(127 - 77) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1173 - 1125) + chr(111) + '\x32' + chr(0b110101) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\x34' + chr(771 - 720), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b110010) + '\065', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(1115 - 1065) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110011) + chr(2898 - 2843), 8), ehT0Px3KOsy9('\x30' + chr(2436 - 2325) + chr(0b110011) + chr(0b110111) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1001 + 0o146) + '\x33', 36578 - 36570)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(12054 - 11943) + chr(0b110000 + 0o5) + chr(0b10111 + 0o31), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x06'), chr(9701 - 9601) + chr(5712 - 5611) + '\x63' + chr(111) + chr(1180 - 1080) + '\145')(chr(8401 - 8284) + '\164' + chr(0b1100110) + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def keltLmtoV4r_(oVre8I6UXc3b, PuTBORXba93h=0.0):
if xafqLlk3kkUe(oVre8I6UXc3b.hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'D\x03&\xc0Y\xab\xaa\x81\xb0\x94\xc32C\xac\x884\xff\xafI\x93dZ\xc2U5\xcaCx\x1f\xe8'), '\144' + chr(0b110110 + 0o57) + chr(0b1011010 + 0o11) + chr(111) + chr(5659 - 5559) + '\x65')('\x75' + chr(116) + chr(102) + chr(45) + chr(56))):
FjcovgoHM1LG = IDJ2eXGCBCDu.Variable(oVre8I6UXc3b.hparams.ghYtMDjOY9WM, trainable=ehT0Px3KOsy9(chr(421 - 373) + '\157' + chr(1691 - 1643), ord("\x08")), dtype=IDJ2eXGCBCDu.float32)
gDUX9w35YHFE = oVre8I6UXc3b.hparams.latent_loss_multiplier_alpha
Xtig2zAKpR0T = oVre8I6UXc3b.hparams.latent_loss_multiplier_epsilon
PMscDBj9JQL_ = FjcovgoHM1LG + gDUX9w35YHFE * (PuTBORXba93h - Xtig2zAKpR0T)
PMscDBj9JQL_ = IDJ2eXGCBCDu.maximum(PMscDBj9JQL_, 0.0)
PMscDBj9JQL_ = IDJ2eXGCBCDu.minimum(PMscDBj9JQL_, 1.0)
VpfgVvyMtgpW = IDJ2eXGCBCDu.assign(FjcovgoHM1LG, PMscDBj9JQL_)
else:
FjcovgoHM1LG = feDooRjkbHzt.beta_schedule(schedule=oVre8I6UXc3b.hparams.MQbixC4iR5r4, global_step=oVre8I6UXc3b.get_iteration_num(), final_beta=oVre8I6UXc3b.hparams.ghYtMDjOY9WM, decay_start=oVre8I6UXc3b.hparams.iY_4zqKBVzZD + oVre8I6UXc3b.hparams.m_GDJNzMRp6_, decay_end=oVre8I6UXc3b.hparams.LVO61cwcBk9E)
VpfgVvyMtgpW = IDJ2eXGCBCDu.vFUG5mKXcvYG(FjcovgoHM1LG)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'K\r<\xd1E\xb0\x99\xb2\xbb\x82\xc0\x08@\xbd\x81.\xf5\xb6@\x89'), chr(100) + '\x65' + chr(866 - 767) + chr(0b1101111) + chr(0b1010 + 0o132) + '\x65')(chr(117) + chr(0b1011111 + 0o25) + '\x66' + '\x2d' + '\x38'))([VpfgVvyMtgpW]):
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'[\x013\xc9V\xad'), '\x64' + chr(0b1010110 + 0o17) + chr(2423 - 2324) + chr(111) + chr(6820 - 6720) + chr(101))('\x75' + '\x74' + '\146' + chr(1607 - 1562) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'J\x07&\xc4'), chr(4793 - 4693) + '\x65' + '\143' + '\157' + chr(2635 - 2535) + chr(0b1100101))(chr(6859 - 6742) + chr(1018 - 902) + chr(0b1100110) + chr(45) + '\070'), FjcovgoHM1LG)
return FjcovgoHM1LG
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/base_vae.py
|
NextFrameBaseVae.get_kl_loss
|
def get_kl_loss(self, means, log_vars, means_p=None, log_vars_p=None):
"""Get KL loss for all the predicted Gaussians."""
kl_loss = 0.0
if means_p is None:
means_p = tf.unstack(tf.zeros_like(means))
if log_vars_p is None:
log_vars_p = tf.unstack(tf.zeros_like(log_vars))
enumerated_inputs = enumerate(zip(means, log_vars, means_p, log_vars_p))
if self.is_training and self.hparams.stochastic_model:
for i, (mean, log_var, mean_p, log_var_p) in enumerated_inputs:
kl_loss += common_layers.kl_divergence(mean, log_var, mean_p, log_var_p)
tf.summary.histogram("posterior_mean_%d" % i, mean)
tf.summary.histogram("posterior_log_var_%d" % i, log_var)
tf.summary.histogram("prior_mean_%d" % i, mean_p)
tf.summary.histogram("prior_log_var_%d" % i, log_var_p)
tf.summary.scalar("kl_raw", tf.reduce_mean(kl_loss))
beta = self.get_beta(kl_loss)
# information capacity from "Understanding disentangling in beta-VAE"
if self.hparams.information_capacity > 0.0:
kl_loss = tf.abs(kl_loss - self.hparams.information_capacity)
return beta * kl_loss
|
python
|
def get_kl_loss(self, means, log_vars, means_p=None, log_vars_p=None):
"""Get KL loss for all the predicted Gaussians."""
kl_loss = 0.0
if means_p is None:
means_p = tf.unstack(tf.zeros_like(means))
if log_vars_p is None:
log_vars_p = tf.unstack(tf.zeros_like(log_vars))
enumerated_inputs = enumerate(zip(means, log_vars, means_p, log_vars_p))
if self.is_training and self.hparams.stochastic_model:
for i, (mean, log_var, mean_p, log_var_p) in enumerated_inputs:
kl_loss += common_layers.kl_divergence(mean, log_var, mean_p, log_var_p)
tf.summary.histogram("posterior_mean_%d" % i, mean)
tf.summary.histogram("posterior_log_var_%d" % i, log_var)
tf.summary.histogram("prior_mean_%d" % i, mean_p)
tf.summary.histogram("prior_log_var_%d" % i, log_var_p)
tf.summary.scalar("kl_raw", tf.reduce_mean(kl_loss))
beta = self.get_beta(kl_loss)
# information capacity from "Understanding disentangling in beta-VAE"
if self.hparams.information_capacity > 0.0:
kl_loss = tf.abs(kl_loss - self.hparams.information_capacity)
return beta * kl_loss
|
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] |
Get KL loss for all the predicted Gaussians.
|
[
"Get",
"KL",
"loss",
"for",
"all",
"the",
"predicted",
"Gaussians",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/base_vae.py#L74-L95
|
train
|
Get KL loss for all predicted Gaussians.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(0b100010 + 0o23) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11011 + 0o32) + '\x35', 41387 - 41379), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4646 - 4535) + chr(0b110100) + chr(51), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(0b11000 + 0o33), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100001 + 0o22) + chr(0b110101) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101 + 0o142) + chr(1855 - 1805) + chr(1966 - 1912) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\060' + chr(0b101101 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001111 + 0o40) + chr(0b110010) + chr(0b110110) + chr(0b1011 + 0o51), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(625 - 573) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(844 - 795) + '\061' + chr(0b110000 + 0o5), 0o10), ehT0Px3KOsy9('\060' + chr(6272 - 6161) + '\x33' + '\063' + '\x32', 44496 - 44488), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(54) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1532 - 1484) + chr(0b1101111) + chr(872 - 821) + '\x37' + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(1954 - 1901) + chr(0b10001 + 0o45), 15103 - 15095), ehT0Px3KOsy9(chr(2128 - 2080) + '\157' + chr(0b100110 + 0o15) + chr(0b110000) + chr(53), 54998 - 54990), ehT0Px3KOsy9(chr(48) + '\x6f' + '\065', 38948 - 38940), ehT0Px3KOsy9(chr(1623 - 1575) + chr(111) + chr(51) + '\064' + '\066', 57355 - 57347), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(0b101001 + 0o12) + chr(0b1110 + 0o50) + chr(1330 - 1279), 8), ehT0Px3KOsy9(chr(628 - 580) + chr(111) + chr(0b110011) + '\x32' + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + chr(0b110001) + chr(1273 - 1221) + chr(0b10101 + 0o37), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010 + 0o0) + '\x33' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(0b110111) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + '\063' + chr(49) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(2701 - 2648) + chr(2173 - 2123), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + chr(50) + chr(50) + chr(0b110000 + 0o2), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(334 - 283) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(54) + '\064', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\067' + chr(0b10111 + 0o32), 0o10), ehT0Px3KOsy9(chr(48) + chr(4162 - 4051) + chr(0b110010) + chr(0b110000) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1393 - 1344) + chr(50) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001001 + 0o46) + chr(49) + '\x35' + chr(104 - 54), 8), ehT0Px3KOsy9('\060' + chr(10436 - 10325) + chr(2077 - 2026) + '\x37' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + chr(0b110010) + chr(0b110001) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(0b110010) + '\x30' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(2002 - 1954) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10111 + 0o35) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6397 - 6286) + chr(0b110011) + '\060' + chr(51), 1516 - 1508), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + '\061' + '\067' + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(2146 - 2092) + chr(0b11000 + 0o33), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + '\065' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x05'), chr(100) + '\145' + '\143' + '\157' + chr(100) + chr(0b1011110 + 0o7))(chr(13321 - 13204) + '\164' + chr(0b11001 + 0o115) + chr(0b101101) + chr(0b1101 + 0o53)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FKnVX5vpCkm1(oVre8I6UXc3b, XCAIkNRdiX0I, JrJ7zbtTCVYG, cdwS8rdJypoK=None, baUrDM3R_KLu=None):
PuTBORXba93h = 0.0
if cdwS8rdJypoK is None:
cdwS8rdJypoK = IDJ2eXGCBCDu.unstack(IDJ2eXGCBCDu.zeros_like(XCAIkNRdiX0I))
if baUrDM3R_KLu is None:
baUrDM3R_KLu = IDJ2eXGCBCDu.unstack(IDJ2eXGCBCDu.zeros_like(JrJ7zbtTCVYG))
gXTI9LXGhXbi = YlkZvXL8qwsX(pZ0NK2y6HRbn(XCAIkNRdiX0I, JrJ7zbtTCVYG, cdwS8rdJypoK, baUrDM3R_KLu))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'B^|WY\x8e\xdc/\xdd\x0b*'), '\144' + '\145' + chr(4718 - 4619) + chr(111) + chr(100) + '\x65')('\x75' + chr(4953 - 4837) + chr(102) + chr(0b1010 + 0o43) + '\070')) and xafqLlk3kkUe(oVre8I6UXc3b.hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'LjSr\x1d\xdd\xd89\xde7\x1f\xa9'), chr(0b111111 + 0o45) + '\x65' + chr(99) + chr(111) + chr(100) + chr(101))('\165' + '\x74' + chr(9979 - 9877) + chr(0b101101) + '\x38')):
for (WVxHKyX45z_L, (aJhItC_Vawlw, WqKppA7hSdD1, GvaVIi2BoXUQ, mzzYf7aL5VWO)) in gXTI9LXGhXbi:
PuTBORXba93h += jSKPaHwSAfVv.kl_divergence(aJhItC_Vawlw, WqKppA7hSdD1, GvaVIi2BoXUQ, mzzYf7aL5VWO)
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'ti\x17y\\\xd6\xd75\xe118\x8b'), chr(100) + '\145' + chr(0b110011 + 0o60) + chr(0b1101011 + 0o4) + chr(0b1100100) + '\145')('\165' + chr(0b10111 + 0o135) + chr(0b1100110) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'[BPWN\x9d\xdc.\xc6: \xbf\x92\x94\xf1\xe0a'), chr(0b1010000 + 0o24) + chr(0b1100101) + chr(6122 - 6023) + '\x6f' + chr(4078 - 3978) + chr(9211 - 9110))(chr(0b1110101) + chr(0b1110100) + chr(7939 - 7837) + '\x2d' + chr(0b110 + 0o62)) % WVxHKyX45z_L, aJhItC_Vawlw)
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'ti\x17y\\\xd6\xd75\xe118\x8b'), '\144' + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + chr(0b10011 + 0o122))(chr(10213 - 10096) + chr(0b1110100) + '\x66' + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'[BPWN\x9d\xdc.\xc6:!\xb5\x94\xa5\xd8\xa4w\xb9\xd6\xb7'), chr(8380 - 8280) + chr(0b1011010 + 0o13) + chr(99) + chr(3966 - 3855) + '\144' + chr(0b1100101))(chr(117) + chr(116) + chr(102) + chr(45) + chr(56)) % WVxHKyX45z_L, WqKppA7hSdD1)
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'ti\x17y\\\xd6\xd75\xe118\x8b'), chr(100) + chr(4349 - 4248) + '\143' + chr(111) + '\144' + '\x65')('\165' + chr(0b1110100) + chr(9596 - 9494) + chr(0b101101) + chr(439 - 383)))(xafqLlk3kkUe(SXOLrMavuUCe(b'[_JLY\xb0\xd8$\xd5\x0b\x12\xff\x97'), chr(0b1100100) + chr(0b1011100 + 0o11) + '\x63' + chr(0b11000 + 0o127) + chr(0b1011 + 0o131) + chr(0b111000 + 0o55))('\165' + chr(0b1100001 + 0o23) + chr(102) + chr(0b11011 + 0o22) + chr(0b110111 + 0o1)) % WVxHKyX45z_L, GvaVIi2BoXUQ)
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'ti\x17y\\\xd6\xd75\xe118\x8b'), '\x64' + '\145' + chr(99) + chr(0b1101111) + '\x64' + '\145')(chr(0b1110101) + '\x74' + chr(6297 - 6195) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'[_JLY\xb0\xd9.\xd3:;\xbb\x81\xa5\x8b\xa1'), chr(2598 - 2498) + '\x65' + '\143' + chr(2315 - 2204) + chr(0b1100100) + chr(101))(chr(117) + chr(0b1110100) + '\x66' + chr(45) + chr(56)) % WVxHKyX45z_L, mzzYf7aL5VWO)
xafqLlk3kkUe(IDJ2eXGCBCDu.summary, xafqLlk3kkUe(SXOLrMavuUCe(b'XNBOJ\x9d'), chr(8486 - 8386) + '\145' + chr(0b1000110 + 0o35) + chr(111) + chr(0b1100100) + '\x65')('\x75' + chr(11881 - 11765) + chr(0b1100110) + chr(0b11100 + 0o21) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'@A|QJ\x98'), chr(0b1100010 + 0o2) + chr(9817 - 9716) + chr(99) + chr(0b1101111) + '\x64' + '\145')('\x75' + chr(2762 - 2646) + chr(7068 - 6966) + '\055' + '\070'), xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'YHGVH\x8a\xea,\xd1\x04#'), chr(0b1100100) + chr(101) + '\143' + '\x6f' + chr(100) + chr(0b1000001 + 0o44))('\165' + chr(116) + chr(0b1011001 + 0o15) + chr(133 - 88) + '\x38'))(PuTBORXba93h))
FjcovgoHM1LG = oVre8I6UXc3b.get_beta(PuTBORXba93h)
if xafqLlk3kkUe(oVre8I6UXc3b.hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'xHdn_\xda\xf8\x05\xdb1\x1b\xae'), '\144' + '\145' + '\143' + chr(0b1001101 + 0o42) + '\x64' + chr(101))(chr(0b1000101 + 0o60) + '\164' + chr(102) + chr(0b10110 + 0o27) + chr(1059 - 1003))) > 0.0:
PuTBORXba93h = IDJ2eXGCBCDu.abs(PuTBORXba93h - oVre8I6UXc3b.hparams.SeGMt5MDoTVt)
return FjcovgoHM1LG * PuTBORXba93h
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/base_vae.py
|
NextFrameBaseVae.construct_latent_tower
|
def construct_latent_tower(self, images, time_axis):
"""Create the latent tower."""
# No latent in the first phase
first_phase = tf.less(
self.get_iteration_num(), self.hparams.num_iterations_1st_stage)
# use all frames by default but this allows more
# predicted frames at inference time
latent_num_frames = self.hparams.latent_num_frames
tf.logging.info("Creating latent tower with %d frames." % latent_num_frames)
if latent_num_frames > 0:
images = images[:, :latent_num_frames]
return common_video.conv_latent_tower(
images=images,
time_axis=time_axis,
latent_channels=self.hparams.latent_channels,
min_logvar=self.hparams.latent_std_min,
is_training=self.is_training,
random_latent=first_phase,
tiny_mode=self.hparams.tiny_mode,
small_mode=self.hparams.small_mode)
|
python
|
def construct_latent_tower(self, images, time_axis):
"""Create the latent tower."""
# No latent in the first phase
first_phase = tf.less(
self.get_iteration_num(), self.hparams.num_iterations_1st_stage)
# use all frames by default but this allows more
# predicted frames at inference time
latent_num_frames = self.hparams.latent_num_frames
tf.logging.info("Creating latent tower with %d frames." % latent_num_frames)
if latent_num_frames > 0:
images = images[:, :latent_num_frames]
return common_video.conv_latent_tower(
images=images,
time_axis=time_axis,
latent_channels=self.hparams.latent_channels,
min_logvar=self.hparams.latent_std_min,
is_training=self.is_training,
random_latent=first_phase,
tiny_mode=self.hparams.tiny_mode,
small_mode=self.hparams.small_mode)
|
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] |
Create the latent tower.
|
[
"Create",
"the",
"latent",
"tower",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/base_vae.py#L97-L118
|
train
|
Construct the latent tower.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(1527 - 1475) + chr(235 - 184), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(321 - 210) + chr(599 - 548) + chr(0b110011) + chr(48), 11411 - 11403), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(55) + chr(0b110010), 17974 - 17966), ehT0Px3KOsy9('\x30' + chr(1999 - 1888) + '\063' + chr(0b100111 + 0o17), 0b1000), ehT0Px3KOsy9('\060' + chr(7332 - 7221) + '\x33' + '\x30' + '\062', 0o10), ehT0Px3KOsy9(chr(592 - 544) + chr(0b1101111) + '\063' + '\x37' + chr(520 - 465), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(0b110101) + chr(1664 - 1612), 19603 - 19595), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b11110 + 0o24) + '\x31', 0b1000), ehT0Px3KOsy9(chr(1701 - 1653) + chr(111) + chr(0b110010) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(1109 - 998) + chr(0b110001) + '\064' + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + chr(0b110001) + chr(0b101101 + 0o6) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(8307 - 8196) + chr(2196 - 2147) + '\x32' + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(3422 - 3311) + chr(0b101101 + 0o6) + chr(0b110111) + '\x35', 0b1000), ehT0Px3KOsy9(chr(542 - 494) + chr(0b1101111) + '\062' + chr(0b1000 + 0o50) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(1476 - 1365) + chr(0b101110 + 0o5) + chr(55) + chr(1462 - 1413), 47336 - 47328), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b100001 + 0o116) + chr(2562 - 2507) + chr(347 - 295), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(0b110010) + chr(0b110101) + chr(199 - 149), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110110) + chr(0b10111 + 0o34), 31274 - 31266), ehT0Px3KOsy9(chr(0b110000) + chr(11809 - 11698) + chr(0b11100 + 0o25) + chr(54) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1232 - 1182) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(438 - 390) + '\x6f' + chr(49) + chr(1241 - 1187), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100100 + 0o17) + chr(0b110100) + chr(724 - 676), 0b1000), ehT0Px3KOsy9('\060' + chr(10704 - 10593) + chr(51) + '\x34' + chr(0b1110 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(639 - 591) + '\157' + chr(49) + chr(0b110101) + chr(253 - 203), 36233 - 36225), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\066' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(652 - 597) + '\061', 41001 - 40993), ehT0Px3KOsy9(chr(878 - 830) + chr(0b1101111) + chr(0b101001 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9331 - 9220) + chr(0b100 + 0o62) + chr(134 - 86), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(51) + '\x30', 0o10), ehT0Px3KOsy9(chr(1916 - 1868) + chr(0b1011110 + 0o21) + chr(0b110010) + chr(51) + '\066', 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + '\063' + chr(0b110000) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11583 - 11472) + chr(0b11110 + 0o25) + chr(0b10000 + 0o46) + chr(0b110001 + 0o2), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001001 + 0o46) + chr(50) + '\062' + chr(0b1111 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b100101 + 0o112) + chr(0b110001) + '\x32' + '\061', 8), ehT0Px3KOsy9(chr(920 - 872) + chr(0b100 + 0o153) + '\062' + '\061' + chr(2554 - 2502), 36704 - 36696), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1011 + 0o52) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b101110 + 0o7) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9661 - 9550) + chr(0b110001) + chr(0b11101 + 0o24) + chr(274 - 226), 0b1000), ehT0Px3KOsy9('\x30' + chr(8830 - 8719) + chr(49) + '\060' + chr(0b10000 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(1471 - 1423) + '\x6f' + '\x31' + '\065' + chr(53), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(10652 - 10541) + '\x35' + '\060', 5108 - 5100)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'M'), '\144' + '\x65' + chr(0b1000100 + 0o37) + '\x6f' + '\144' + chr(0b1100101))(chr(2288 - 2171) + chr(12662 - 12546) + '\x66' + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def au48_EpIWgVt(oVre8I6UXc3b, YJOmEcibG8C0, YWTp_1OQiOr_):
T4sJI7DseDwo = IDJ2eXGCBCDu.less(oVre8I6UXc3b.get_iteration_num(), oVre8I6UXc3b.hparams.iY_4zqKBVzZD)
eUtcaaDz3LY_ = oVre8I6UXc3b.hparams.latent_num_frames
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'0\xef\xb2f\xb7\x9cKf|\n\x028'), chr(0b1100100) + chr(3565 - 3464) + '\x63' + '\157' + chr(0b1100100) + chr(0b100100 + 0o101))(chr(0b1110101) + chr(5425 - 5309) + chr(0b1100110) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b" \xaa\x9f\x7f\xb6\x96B66\n9'\x98\xea\x8d\x1c\xde\\\x00t|\xc0\x94\x03\x85Q$\x15\xfc\xbe\xa2\x81\xf5<\xe9XA"), chr(0b1100100) + '\145' + '\x63' + '\157' + '\x64' + chr(5745 - 5644))(chr(117) + chr(0b100000 + 0o124) + chr(7466 - 7364) + chr(45) + chr(2458 - 2402)) % eUtcaaDz3LY_)
if eUtcaaDz3LY_ > ehT0Px3KOsy9('\060' + '\157' + '\x30', 0b1000):
YJOmEcibG8C0 = YJOmEcibG8C0[:, :eUtcaaDz3LY_]
return xafqLlk3kkUe(feDooRjkbHzt, xafqLlk3kkUe(SXOLrMavuUCe(b'\x00\xb7\x94h\x9d\x93M%s\x08,\x0c\x89\xeb\x8eY\xd8'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b11111 + 0o105) + chr(0b1010101 + 0o20))(chr(117) + '\164' + chr(0b110000 + 0o66) + '\055' + chr(916 - 860)))(images=YJOmEcibG8C0, time_axis=YWTp_1OQiOr_, latent_channels=xafqLlk3kkUe(oVre8I6UXc3b.hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f\xb9\x8e{\xac\x8bs2~\x076=\x98\xe8\x8a'), chr(100) + chr(8605 - 8504) + chr(0b11110 + 0o105) + chr(111) + '\x64' + '\145')(chr(117) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38')), min_logvar=xafqLlk3kkUe(oVre8I6UXc3b.hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f\xb9\x8e{\xac\x8bs"b\x02\x07>\x94\xea'), chr(610 - 510) + '\145' + '\143' + '\x6f' + '\144' + chr(8648 - 8547))(chr(0b11 + 0o162) + '\164' + '\146' + chr(371 - 326) + '\070')), is_training=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\n\xab\xa5j\xb0\x9eE?\x7f\x08?'), chr(2967 - 2867) + chr(9343 - 9242) + chr(99) + '\x6f' + chr(100) + '\145')(chr(0b1110101) + chr(116) + '\146' + '\x2d' + '\070')), random_latent=T4sJI7DseDwo, tiny_mode=xafqLlk3kkUe(oVre8I6UXc3b.hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\x9a\xc9y\xa6\xbe\x15\x1cOT2>'), '\144' + chr(0b1100101 + 0o0) + '\143' + chr(111) + chr(0b101001 + 0o73) + chr(969 - 868))(chr(13218 - 13101) + chr(0b1110100) + '\146' + '\x2d' + '\070')), small_mode=xafqLlk3kkUe(oVre8I6UXc3b.hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'4\xa2\xc9u\xb4\x85k)_6\x02\x11'), chr(0b1100100) + chr(4164 - 4063) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(6055 - 5954))('\165' + '\x74' + chr(5033 - 4931) + chr(45) + '\070')))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_encode
|
def transformer_encode(encoder_function, inputs, target_space, hparams,
attention_weights=None, features=None, losses=None,
**kwargs):
"""Encode transformer inputs.
Args:
encoder_function: the encoder function
inputs: Transformer inputs [batch_size, input_length, 1, hidden_dim] which
will be flattened along the two spatial dimensions.
target_space: scalar, target space ID.
hparams: hyperparameters for model.
attention_weights: weight to store attention to.
features: optionally pass the entire features dictionary as well. This is
needed now for "packed" datasets.
losses: optional list onto which to append extra training losses
**kwargs: additional arguments to pass to encoder_function
Returns:
Tuple of:
encoder_output: Encoder representation.
[batch_size, input_length, hidden_dim]
encoder_decoder_attention_bias: Bias and mask weights for
encoder-decoder attention. [batch_size, input_length]
"""
inputs = common_layers.flatten4d3d(inputs)
encoder_input, self_attention_bias, encoder_decoder_attention_bias = (
transformer_prepare_encoder(
inputs, target_space, hparams, features=features))
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_LAYER_POSTPROCESS_DROPOUT,
value=hparams.layer_prepostprocess_dropout,
hparams=hparams)
encoder_input = tf.nn.dropout(encoder_input,
1.0 - hparams.layer_prepostprocess_dropout)
attn_bias_for_padding = None
# Otherwise the encoder will just use encoder_self_attention_bias.
if hparams.unidirectional_encoder:
attn_bias_for_padding = encoder_decoder_attention_bias
encoder_output = encoder_function(
encoder_input,
self_attention_bias,
hparams,
nonpadding=features_to_nonpadding(features, "inputs"),
save_weights_to=attention_weights,
make_image_summary=not common_layers.is_xla_compiled(),
losses=losses,
attn_bias_for_padding=attn_bias_for_padding,
**kwargs)
return encoder_output, encoder_decoder_attention_bias
|
python
|
def transformer_encode(encoder_function, inputs, target_space, hparams,
attention_weights=None, features=None, losses=None,
**kwargs):
"""Encode transformer inputs.
Args:
encoder_function: the encoder function
inputs: Transformer inputs [batch_size, input_length, 1, hidden_dim] which
will be flattened along the two spatial dimensions.
target_space: scalar, target space ID.
hparams: hyperparameters for model.
attention_weights: weight to store attention to.
features: optionally pass the entire features dictionary as well. This is
needed now for "packed" datasets.
losses: optional list onto which to append extra training losses
**kwargs: additional arguments to pass to encoder_function
Returns:
Tuple of:
encoder_output: Encoder representation.
[batch_size, input_length, hidden_dim]
encoder_decoder_attention_bias: Bias and mask weights for
encoder-decoder attention. [batch_size, input_length]
"""
inputs = common_layers.flatten4d3d(inputs)
encoder_input, self_attention_bias, encoder_decoder_attention_bias = (
transformer_prepare_encoder(
inputs, target_space, hparams, features=features))
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_LAYER_POSTPROCESS_DROPOUT,
value=hparams.layer_prepostprocess_dropout,
hparams=hparams)
encoder_input = tf.nn.dropout(encoder_input,
1.0 - hparams.layer_prepostprocess_dropout)
attn_bias_for_padding = None
# Otherwise the encoder will just use encoder_self_attention_bias.
if hparams.unidirectional_encoder:
attn_bias_for_padding = encoder_decoder_attention_bias
encoder_output = encoder_function(
encoder_input,
self_attention_bias,
hparams,
nonpadding=features_to_nonpadding(features, "inputs"),
save_weights_to=attention_weights,
make_image_summary=not common_layers.is_xla_compiled(),
losses=losses,
attn_bias_for_padding=attn_bias_for_padding,
**kwargs)
return encoder_output, encoder_decoder_attention_bias
|
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] |
Encode transformer inputs.
Args:
encoder_function: the encoder function
inputs: Transformer inputs [batch_size, input_length, 1, hidden_dim] which
will be flattened along the two spatial dimensions.
target_space: scalar, target space ID.
hparams: hyperparameters for model.
attention_weights: weight to store attention to.
features: optionally pass the entire features dictionary as well. This is
needed now for "packed" datasets.
losses: optional list onto which to append extra training losses
**kwargs: additional arguments to pass to encoder_function
Returns:
Tuple of:
encoder_output: Encoder representation.
[batch_size, input_length, hidden_dim]
encoder_decoder_attention_bias: Bias and mask weights for
encoder-decoder attention. [batch_size, input_length]
|
[
"Encode",
"transformer",
"inputs",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L57-L111
|
train
|
Encode transformer inputs.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(4126 - 4015) + chr(51) + '\067' + '\x31', 23303 - 23295), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + chr(0b110010) + chr(0b100001 + 0o17) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + '\063' + chr(48) + chr(1127 - 1077), 49578 - 49570), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + '\064' + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010 + 0o0) + chr(0b110010) + '\062', 63193 - 63185), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(55) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + '\063' + chr(0b10011 + 0o36) + chr(0b1110 + 0o47), 64290 - 64282), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b101101 + 0o102) + chr(0b0 + 0o63) + '\067' + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + chr(50) + chr(0b10001 + 0o43) + chr(1490 - 1441), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(2839 - 2728) + '\x31' + chr(1329 - 1274) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2256 - 2145) + chr(661 - 610) + chr(1172 - 1121) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b100010 + 0o23) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(11256 - 11145) + chr(50) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(0b1110 + 0o43) + chr(1642 - 1587) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(0b111 + 0o52) + '\x37' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + '\x31' + chr(2398 - 2348) + chr(519 - 467), 17191 - 17183), ehT0Px3KOsy9(chr(1831 - 1783) + '\x6f' + chr(53) + chr(0b101110 + 0o10), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\060' + '\x33', 0o10), ehT0Px3KOsy9(chr(874 - 826) + chr(111) + '\x37' + chr(0b10100 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(0b110010) + chr(0b110000) + chr(2620 - 2565), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b110010) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\064' + chr(2619 - 2566), 41366 - 41358), ehT0Px3KOsy9(chr(1291 - 1243) + '\157' + chr(0b101111 + 0o3) + chr(0b110111) + chr(1090 - 1036), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1111 + 0o44) + chr(0b101000 + 0o16) + chr(374 - 326), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001001 + 0o46) + chr(50) + chr(1991 - 1942) + '\x34', 0b1000), ehT0Px3KOsy9(chr(974 - 926) + chr(0b1101111) + chr(0b110001) + chr(55) + chr(1773 - 1719), 8), ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + '\062' + chr(0b0 + 0o65) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(52) + chr(978 - 930), 35213 - 35205), ehT0Px3KOsy9(chr(2237 - 2189) + chr(10333 - 10222) + '\x32' + chr(49 - 1) + chr(0b11 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b100 + 0o57) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1717 - 1665) + chr(0b1 + 0o64), 0b1000), ehT0Px3KOsy9(chr(2074 - 2026) + chr(0b100 + 0o153) + '\061' + chr(0b110111) + chr(0b110111), 8), ehT0Px3KOsy9(chr(2095 - 2047) + chr(0b1101111) + chr(554 - 505) + '\x31' + chr(0b1101 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(2059 - 2011) + chr(0b1000110 + 0o51) + '\x35' + chr(0b110010), 65155 - 65147), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101100 + 0o5) + chr(52) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(49) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(2292 - 2181) + '\062' + '\x36' + chr(176 - 124), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b110101) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(1241 - 1130) + '\062' + chr(1039 - 984), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + '\063' + chr(0b110001) + chr(55), 9002 - 8994)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + '\065' + chr(1104 - 1056), 58817 - 58809)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7'), chr(9924 - 9824) + chr(1138 - 1037) + '\143' + '\157' + '\x64' + chr(101))('\x75' + '\x74' + '\146' + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def YyvUanVAWGJO(V4i337LAWKI5, vXoupepMtCXU, uFIGUtii6RGG, n4ljua2gi1Pr, spwQ00xLrKwD=None, EEf4r9nUvta_=None, eJKWkHA7qzlZ=None, **M8EIoTs2GJXE):
vXoupepMtCXU = jSKPaHwSAfVv.flatten4d3d(vXoupepMtCXU)
(LDEM1Zag9l0P, rsYpYnJ7N3P3, iuvkQfeRHfn5) = PdmJPyvTnLBn(vXoupepMtCXU, uFIGUtii6RGG, n4ljua2gi1Pr, features=EEf4r9nUvta_)
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\xf6\xa3H\xe1\x19\xa2\x8c\xcc\x1c\xae\xb0`\x0c\x11:Z'), chr(0b1011011 + 0o11) + chr(101) + chr(0b101011 + 0o70) + chr(0b1101111) + chr(0b11101 + 0o107) + chr(101))(chr(0b1110101) + chr(116) + chr(102) + '\x2d' + chr(56)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b"\xb4\xcb\x86c\xde \x85\xae\xfe5\x9d\xb6U,'\x04a\xd0j\xd7\x81*\xfd\xb5\xdf-\xf2\xa4\xd3\xd4u0\x1e~"), chr(2556 - 2456) + chr(0b1100101) + chr(0b1001011 + 0o30) + chr(111) + chr(0b1100100) + chr(1050 - 949))(chr(0b1110101) + chr(5697 - 5581) + chr(0b1101 + 0o131) + chr(0b101101) + '\070')), value=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xd3\x9d^\xc1\x05\xbd\xcf\x99,\xb9\xbc'), chr(1569 - 1469) + '\x65' + chr(1739 - 1640) + chr(111) + chr(0b1100100) + '\x65')(chr(0b101010 + 0o113) + chr(4043 - 3927) + chr(7601 - 7499) + chr(45) + chr(56))), hparams=n4ljua2gi1Pr)
LDEM1Zag9l0P = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(LDEM1Zag9l0P, 1.0 - n4ljua2gi1Pr.RW_xSzp18UeS)
Z0Xug0irmmBU = None
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x8c\xea\xabB\xfb\r\xa8\x9d\xd5\x10\xb3\x81q\x12'1@\xe0Q\xe3\xb6\x17"), '\x64' + chr(0b1100101) + chr(8432 - 8333) + chr(3870 - 3759) + '\x64' + chr(0b110101 + 0o60))(chr(11258 - 11141) + chr(116) + chr(0b1100110) + chr(0b1 + 0o54) + '\x38')):
Z0Xug0irmmBU = iuvkQfeRHfn5
NE_S2zAzN4PI = V4i337LAWKI5(LDEM1Zag9l0P, rsYpYnJ7N3P3, n4ljua2gi1Pr, nonpadding=OmEQzUvbeNjE(EEf4r9nUvta_, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\xea\xb2S\xe6\x0c'), '\144' + chr(0b1100101) + '\x63' + '\x6f' + chr(5373 - 5273) + chr(101))('\x75' + '\164' + '\146' + '\055' + chr(0b111000))), save_weights_to=spwQ00xLrKwD, make_image_summary=not jSKPaHwSAfVv.is_xla_compiled(), losses=eJKWkHA7qzlZ, attn_bias_for_padding=Z0Xug0irmmBU, **M8EIoTs2GJXE)
return (NE_S2zAzN4PI, iuvkQfeRHfn5)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_decode
|
def transformer_decode(decoder_function,
decoder_input,
encoder_output,
encoder_decoder_attention_bias,
decoder_self_attention_bias,
hparams,
attention_weights=None,
cache=None,
decode_loop_step=None,
nonpadding=None,
losses=None,
**kwargs):
"""Decode Transformer outputs from encoder representation.
Args:
decoder_function: the decoder function
decoder_input: inputs to bottom of the model. [batch_size, decoder_length,
hidden_dim]
encoder_output: Encoder representation. [batch_size, input_length,
hidden_dim]
encoder_decoder_attention_bias: Bias and mask weights for encoder-decoder
attention. [batch_size, input_length]
decoder_self_attention_bias: Bias and mask weights for decoder
self-attention. [batch_size, decoder_length]
hparams: hyperparameters for model.
attention_weights: weight to store attention to.
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.
nonpadding: optional Tensor with shape [batch_size, decoder_length]
losses: optional list onto which to append extra training losses
**kwargs: additional arguments to pass to decoder_function
Returns:
Final decoder representation. [batch_size, decoder_length, hidden_dim]
"""
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_LAYER_POSTPROCESS_DROPOUT,
value=hparams.layer_prepostprocess_dropout,
hparams=hparams)
decoder_input = tf.nn.dropout(decoder_input,
1.0 - hparams.layer_prepostprocess_dropout)
decoder_output = decoder_function(
decoder_input,
encoder_output,
decoder_self_attention_bias,
encoder_decoder_attention_bias,
hparams,
cache=cache,
decode_loop_step=decode_loop_step,
nonpadding=nonpadding,
save_weights_to=attention_weights,
losses=losses,
**kwargs)
if (common_layers.is_xla_compiled() and
hparams.mode == tf.estimator.ModeKeys.TRAIN):
# TPU does not react kindly to extra dimensions.
# TODO(noam): remove this once TPU is more forgiving of extra dims.
return decoder_output
else:
# Expand since t2t expects 4d tensors.
return tf.expand_dims(decoder_output, axis=2)
|
python
|
def transformer_decode(decoder_function,
decoder_input,
encoder_output,
encoder_decoder_attention_bias,
decoder_self_attention_bias,
hparams,
attention_weights=None,
cache=None,
decode_loop_step=None,
nonpadding=None,
losses=None,
**kwargs):
"""Decode Transformer outputs from encoder representation.
Args:
decoder_function: the decoder function
decoder_input: inputs to bottom of the model. [batch_size, decoder_length,
hidden_dim]
encoder_output: Encoder representation. [batch_size, input_length,
hidden_dim]
encoder_decoder_attention_bias: Bias and mask weights for encoder-decoder
attention. [batch_size, input_length]
decoder_self_attention_bias: Bias and mask weights for decoder
self-attention. [batch_size, decoder_length]
hparams: hyperparameters for model.
attention_weights: weight to store attention to.
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.
nonpadding: optional Tensor with shape [batch_size, decoder_length]
losses: optional list onto which to append extra training losses
**kwargs: additional arguments to pass to decoder_function
Returns:
Final decoder representation. [batch_size, decoder_length, hidden_dim]
"""
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_LAYER_POSTPROCESS_DROPOUT,
value=hparams.layer_prepostprocess_dropout,
hparams=hparams)
decoder_input = tf.nn.dropout(decoder_input,
1.0 - hparams.layer_prepostprocess_dropout)
decoder_output = decoder_function(
decoder_input,
encoder_output,
decoder_self_attention_bias,
encoder_decoder_attention_bias,
hparams,
cache=cache,
decode_loop_step=decode_loop_step,
nonpadding=nonpadding,
save_weights_to=attention_weights,
losses=losses,
**kwargs)
if (common_layers.is_xla_compiled() and
hparams.mode == tf.estimator.ModeKeys.TRAIN):
# TPU does not react kindly to extra dimensions.
# TODO(noam): remove this once TPU is more forgiving of extra dims.
return decoder_output
else:
# Expand since t2t expects 4d tensors.
return tf.expand_dims(decoder_output, axis=2)
|
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Decode Transformer outputs from encoder representation.
Args:
decoder_function: the decoder function
decoder_input: inputs to bottom of the model. [batch_size, decoder_length,
hidden_dim]
encoder_output: Encoder representation. [batch_size, input_length,
hidden_dim]
encoder_decoder_attention_bias: Bias and mask weights for encoder-decoder
attention. [batch_size, input_length]
decoder_self_attention_bias: Bias and mask weights for decoder
self-attention. [batch_size, decoder_length]
hparams: hyperparameters for model.
attention_weights: weight to store attention to.
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.
nonpadding: optional Tensor with shape [batch_size, decoder_length]
losses: optional list onto which to append extra training losses
**kwargs: additional arguments to pass to decoder_function
Returns:
Final decoder representation. [batch_size, decoder_length, hidden_dim]
|
[
"Decode",
"Transformer",
"outputs",
"from",
"encoder",
"representation",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L114-L178
|
train
|
Decode Transformer outputs from encoder representation.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(102 - 54) + chr(0b1101111) + chr(0b110 + 0o53) + chr(963 - 908) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\065', 50272 - 50264), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(50) + '\x32' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(1888 - 1840) + chr(0b1101111) + '\x33' + chr(54) + '\x30', 53352 - 53344), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110011) + chr(0b100000 + 0o24), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x37' + chr(356 - 303), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b11011 + 0o30) + '\x31' + chr(0b110110), 33015 - 33007), ehT0Px3KOsy9(chr(48) + chr(0b10000 + 0o137) + chr(0b110010 + 0o0) + '\x34' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(0b100000 + 0o23) + chr(0b110010) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6215 - 6104) + chr(0b110010) + '\x36' + chr(264 - 209), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(297 - 242) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\x35' + chr(0b11 + 0o63), 0b1000), ehT0Px3KOsy9(chr(724 - 676) + '\157' + '\062' + chr(2365 - 2313) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10000 + 0o43) + chr(0b101 + 0o55) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b10001 + 0o40) + chr(0b110001), 23273 - 23265), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\063' + chr(1028 - 980), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b101010 + 0o6) + chr(0b11000 + 0o30), 0b1000), ehT0Px3KOsy9(chr(1815 - 1767) + chr(111) + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\x31' + chr(0b110101), 51357 - 51349), ehT0Px3KOsy9(chr(1651 - 1603) + chr(0b1101111) + '\062' + chr(0b101 + 0o62) + chr(232 - 178), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b101010 + 0o11), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b110001) + chr(0b110011), 50690 - 50682), ehT0Px3KOsy9(chr(1429 - 1381) + chr(0b1101111) + '\x37', 8), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1001101 + 0o42) + '\x35' + '\062', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\063' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(331 - 283) + '\157' + chr(0b110010) + chr(0b10101 + 0o41) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\066' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(2565 - 2514) + chr(0b100111 + 0o14) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b110010) + chr(0b111 + 0o52), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011001 + 0o26) + chr(839 - 789) + '\x36' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(7205 - 7094) + '\x31' + chr(51) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + chr(53) + '\x36', 56425 - 56417), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\x30' + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\x30' + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b101 + 0o60) + chr(0b1111 + 0o44), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b110011) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + '\062' + '\x35' + chr(0b101101 + 0o3), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(2381 - 2270) + chr(55) + '\x30', 0o10), ehT0Px3KOsy9(chr(2125 - 2077) + chr(11775 - 11664) + chr(2131 - 2082) + '\062' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + '\062' + chr(0b110101 + 0o1) + chr(0b11 + 0o62), 20386 - 20378)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(4653 - 4542) + chr(53) + chr(48), 31359 - 31351)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'T'), chr(100) + chr(2793 - 2692) + chr(0b100 + 0o137) + '\157' + chr(4030 - 3930) + chr(0b1100101))(chr(117) + chr(116) + '\146' + chr(435 - 390) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bVnmLsWOGeQ8(mfpxLEN8X98U, t5Jz9byuSQ65, NE_S2zAzN4PI, iuvkQfeRHfn5, Z0c2rFCFDCFc, n4ljua2gi1Pr, spwQ00xLrKwD=None, j1lPDdxcDbRB=None, Et0FYCPsowFY=None, qpPhEurkAWxO=None, eJKWkHA7qzlZ=None, **M8EIoTs2GJXE):
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0ew\xf2\x9e\xaf\xdb\xa1\xd3\xbe\xd2\x0b\xf1\xd4\xa3 6\xb4'), chr(8010 - 7910) + chr(1671 - 1570) + '\143' + '\x6f' + chr(0b1100100) + chr(6960 - 6859))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(0b101101) + '\070'))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'7J\xd7\xb5\x90\xe2\x86\xf1\x8c\xfb8\xf7\xe1\x83\x16\x08\x8fT\x99\xeeI\xc4Do\xc9\xe7h\x9d\xc3\xfd\x0fa\xd5\x94'), chr(5225 - 5125) + chr(6099 - 5998) + chr(0b10001 + 0o122) + chr(11229 - 11118) + chr(400 - 300) + '\x65')(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b111000))), value=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'(R\xcc\x88\x8f\xc7\xbe\x90\xeb\xe2\x1c\xfd'), '\144' + chr(101) + '\143' + chr(111) + '\144' + chr(6655 - 6554))('\165' + chr(3705 - 3589) + chr(452 - 350) + '\055' + chr(0b101111 + 0o11))), hparams=n4ljua2gi1Pr)
t5Jz9byuSQ65 = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(t5Jz9byuSQ65, 1.0 - n4ljua2gi1Pr.RW_xSzp18UeS)
JU9Bzy7FPp94 = mfpxLEN8X98U(t5Jz9byuSQ65, NE_S2zAzN4PI, Z0c2rFCFDCFc, iuvkQfeRHfn5, n4ljua2gi1Pr, cache=j1lPDdxcDbRB, decode_loop_step=Et0FYCPsowFY, nonpadding=qpPhEurkAWxO, save_weights_to=spwQ00xLrKwD, losses=eJKWkHA7qzlZ, **M8EIoTs2GJXE)
if xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13v\xcc\x88\xb0\xdc\x91\xc2\xbc\xda\t\xc7\xc8\xb4-'), chr(1900 - 1800) + chr(0b100100 + 0o101) + '\x63' + '\x6f' + '\x64' + chr(0b1010110 + 0o17))('\x75' + chr(116) + '\146' + chr(335 - 290) + chr(56)))() and xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17j\xf7\x95'), '\144' + chr(0b10011 + 0o122) + chr(3089 - 2990) + chr(111) + chr(3585 - 3485) + '\x65')(chr(0b1110101) + chr(0b1100010 + 0o22) + '\x66' + '\055' + chr(2008 - 1952))) == xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'.W\xd2\xb9\x92'), '\144' + chr(0b110110 + 0o57) + '\x63' + chr(0b1001100 + 0o43) + chr(0b10010 + 0o122) + chr(0b101000 + 0o75))(chr(4153 - 4036) + '\164' + '\146' + '\055' + chr(0b111000))):
return JU9Bzy7FPp94
else:
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f}\xe3\x91\xb2\xd9\x91\xc5\xba\xda\n'), chr(100) + chr(0b1001100 + 0o31) + chr(4962 - 4863) + chr(0b1101111 + 0o0) + '\x64' + '\145')('\165' + chr(0b1110100) + chr(0b110110 + 0o60) + chr(0b101101) + chr(56)))(JU9Bzy7FPp94, axis=ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + '\062', ord("\x08")))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
_init_transformer_cache
|
def _init_transformer_cache(cache, hparams, batch_size, attention_init_length,
encoder_output, encoder_decoder_attention_bias,
scope_prefix):
"""Create the initial cache for Transformer fast decoding."""
key_channels = hparams.attention_key_channels or hparams.hidden_size
value_channels = hparams.attention_value_channels or hparams.hidden_size
num_layers = hparams.num_decoder_layers or hparams.num_hidden_layers
vars_3d_num_heads = (
hparams.num_heads if hparams.get("attention_variables_3d") else 0)
if cache is None:
cache = {}
cache.update({
"layer_%d" % layer: { # pylint: disable=g-complex-comprehension
"k":
common_attention.split_heads(
tf.zeros([batch_size,
attention_init_length,
key_channels]), hparams.num_heads),
"v":
common_attention.split_heads(
tf.zeros([batch_size,
attention_init_length,
value_channels]), hparams.num_heads),
} for layer in range(num_layers)
})
# If `ffn_layer` is in `["dense_relu_dense" or "conv_hidden_relu"]`, then the
# cache key "f" won't be used, which means that the` shape of cache["f"]`
# won't be changed to
# `[beamsize*batch_size, decode_length, hparams.hidden_size]` and may cause
# error when applying `nest.map reshape function` on it.
if hparams.ffn_layer not in ["dense_relu_dense", "conv_hidden_relu"]:
for layer in range(num_layers):
cache["layer_%d" % layer]["f"] = tf.zeros(
[batch_size, 0, hparams.hidden_size])
if encoder_output is not None:
for layer in range(num_layers):
layer_name = "layer_%d" % layer
with tf.variable_scope(
"%sdecoder/%s/encdec_attention/multihead_attention" %
(scope_prefix, layer_name)):
k_encdec = common_attention.compute_attention_component(
encoder_output,
key_channels,
name="k",
vars_3d_num_heads=vars_3d_num_heads)
k_encdec = common_attention.split_heads(k_encdec, hparams.num_heads)
v_encdec = common_attention.compute_attention_component(
encoder_output,
value_channels,
name="v",
vars_3d_num_heads=vars_3d_num_heads)
v_encdec = common_attention.split_heads(v_encdec, hparams.num_heads)
cache[layer_name]["k_encdec"] = k_encdec
cache[layer_name]["v_encdec"] = v_encdec
cache["encoder_output"] = encoder_output
cache["encoder_decoder_attention_bias"] = encoder_decoder_attention_bias
return cache
|
python
|
def _init_transformer_cache(cache, hparams, batch_size, attention_init_length,
encoder_output, encoder_decoder_attention_bias,
scope_prefix):
"""Create the initial cache for Transformer fast decoding."""
key_channels = hparams.attention_key_channels or hparams.hidden_size
value_channels = hparams.attention_value_channels or hparams.hidden_size
num_layers = hparams.num_decoder_layers or hparams.num_hidden_layers
vars_3d_num_heads = (
hparams.num_heads if hparams.get("attention_variables_3d") else 0)
if cache is None:
cache = {}
cache.update({
"layer_%d" % layer: { # pylint: disable=g-complex-comprehension
"k":
common_attention.split_heads(
tf.zeros([batch_size,
attention_init_length,
key_channels]), hparams.num_heads),
"v":
common_attention.split_heads(
tf.zeros([batch_size,
attention_init_length,
value_channels]), hparams.num_heads),
} for layer in range(num_layers)
})
# If `ffn_layer` is in `["dense_relu_dense" or "conv_hidden_relu"]`, then the
# cache key "f" won't be used, which means that the` shape of cache["f"]`
# won't be changed to
# `[beamsize*batch_size, decode_length, hparams.hidden_size]` and may cause
# error when applying `nest.map reshape function` on it.
if hparams.ffn_layer not in ["dense_relu_dense", "conv_hidden_relu"]:
for layer in range(num_layers):
cache["layer_%d" % layer]["f"] = tf.zeros(
[batch_size, 0, hparams.hidden_size])
if encoder_output is not None:
for layer in range(num_layers):
layer_name = "layer_%d" % layer
with tf.variable_scope(
"%sdecoder/%s/encdec_attention/multihead_attention" %
(scope_prefix, layer_name)):
k_encdec = common_attention.compute_attention_component(
encoder_output,
key_channels,
name="k",
vars_3d_num_heads=vars_3d_num_heads)
k_encdec = common_attention.split_heads(k_encdec, hparams.num_heads)
v_encdec = common_attention.compute_attention_component(
encoder_output,
value_channels,
name="v",
vars_3d_num_heads=vars_3d_num_heads)
v_encdec = common_attention.split_heads(v_encdec, hparams.num_heads)
cache[layer_name]["k_encdec"] = k_encdec
cache[layer_name]["v_encdec"] = v_encdec
cache["encoder_output"] = encoder_output
cache["encoder_decoder_attention_bias"] = encoder_decoder_attention_bias
return cache
|
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] |
Create the initial cache for Transformer fast decoding.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L832-L892
|
train
|
Create the initial cache for Transformer fast decoding.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b100100 + 0o16) + '\066' + chr(53), 43862 - 43854), ehT0Px3KOsy9(chr(1167 - 1119) + chr(0b10001 + 0o136) + chr(1852 - 1803) + chr(0b110010) + '\x36', 18532 - 18524), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(1426 - 1378) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(51) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + chr(51) + chr(51) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b110111) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + '\063' + '\x33' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6505 - 6394) + chr(0b110001) + chr(52) + chr(48), 34820 - 34812), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1111 + 0o43) + chr(827 - 779) + chr(52), 0b1000), ehT0Px3KOsy9(chr(837 - 789) + '\x6f' + chr(50) + '\x35' + chr(0b110011 + 0o1), 0b1000), ehT0Px3KOsy9(chr(2031 - 1983) + chr(111) + chr(49) + '\066' + '\061', 8981 - 8973), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(1805 - 1755) + chr(0b110001 + 0o1) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100011 + 0o17) + '\x37' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(10086 - 9975) + chr(1864 - 1813) + '\060' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(141 - 91) + chr(1774 - 1719) + chr(0b101 + 0o57), 13415 - 13407), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1011011 + 0o24) + chr(0b101010 + 0o10) + chr(54) + chr(53), 8), ehT0Px3KOsy9('\060' + '\157' + chr(53) + chr(2617 - 2565), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110110) + '\x31', 43623 - 43615), ehT0Px3KOsy9('\060' + chr(10519 - 10408) + chr(0b110010) + chr(0b100111 + 0o17) + '\066', 61244 - 61236), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(880 - 830) + chr(0b11011 + 0o33) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b110100) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1614 - 1564) + chr(55) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2087 - 2037) + chr(0b110011) + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11100 + 0o26) + chr(0b100000 + 0o24) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11011 + 0o124) + '\x32' + chr(0b1010 + 0o53), 0o10), ehT0Px3KOsy9(chr(507 - 459) + '\x6f' + chr(0b101101 + 0o4) + chr(793 - 742) + chr(0b11110 + 0o26), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\062' + chr(844 - 793), 26687 - 26679), ehT0Px3KOsy9(chr(937 - 889) + chr(0b1101111) + chr(1204 - 1151) + chr(55), 42780 - 42772), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(5856 - 5745) + chr(51) + chr(0b110001) + chr(0b110111), 41225 - 41217), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110 + 0o55) + chr(0b10011 + 0o41) + chr(0b10101 + 0o40), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\064' + '\061', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(6938 - 6827) + chr(49) + chr(54) + chr(458 - 410), 55631 - 55623), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b10000 + 0o137) + chr(51) + chr(53) + chr(1333 - 1280), 21731 - 21723), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11100 + 0o25) + '\x31' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(9749 - 9638) + '\063' + chr(0b101000 + 0o15) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(913 - 858) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(48) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + '\067' + chr(1141 - 1093), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\064' + chr(0b110 + 0o57), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101101 + 0o5) + chr(0b110101) + chr(0b110110), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1053 - 1005) + '\x6f' + '\065' + chr(2112 - 2064), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b'), chr(100) + '\x65' + chr(9186 - 9087) + chr(111) + chr(6829 - 6729) + chr(4564 - 4463))('\165' + '\164' + chr(102) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def W3LVwgeNorxZ(j1lPDdxcDbRB, n4ljua2gi1Pr, ix9dZyeAmUxY, vEnRXVs42OgZ, NE_S2zAzN4PI, iuvkQfeRHfn5, qIzCQVoWrDTz):
qCj6XQ8ebRhj = n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL
C09S2DK5vcyK = n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL
uftkTXJyNORO = n4ljua2gi1Pr.pRi6YFAYEnH4 or n4ljua2gi1Pr.jZh5_pLUoOoZ
UlWL1V3BA5Ze = n4ljua2gi1Pr.vRVqPOZ1hUG7 if n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4"\xf2<\xb1\x8b\xb1\x0f\xea\xf3\x07\xf6\xca\xa9\xdd\xd7@T\xc5\xed\x96\xdc'), '\144' + chr(6398 - 6297) + '\x63' + '\x6f' + chr(7314 - 7214) + '\145')(chr(0b1110101) + chr(11507 - 11391) + chr(0b1010 + 0o134) + chr(494 - 449) + chr(0b100 + 0o64))) else ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 0o10)
if j1lPDdxcDbRB is None:
j1lPDdxcDbRB = {}
xafqLlk3kkUe(j1lPDdxcDbRB, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef"\xc7\x1c\xb6\xb1\x92\x0e\xfd\x98\x14\xa7'), chr(0b1100100) + chr(0b10 + 0o143) + chr(0b100110 + 0o75) + chr(0b100010 + 0o115) + '\x64' + chr(0b101101 + 0o70))(chr(1240 - 1123) + chr(116) + '\146' + chr(0b1101 + 0o40) + chr(0b100110 + 0o22)))({xafqLlk3kkUe(SXOLrMavuUCe(b'\xd97\xff<\xad\xa0\xfd\x04'), chr(5786 - 5686) + '\x65' + chr(0b1100011) + chr(6979 - 6868) + '\144' + '\145')(chr(117) + '\x74' + chr(7009 - 6907) + chr(0b101101) + chr(0b111000)) % wgamNHppspXj: {xafqLlk3kkUe(SXOLrMavuUCe(b'\xde'), chr(100) + '\x65' + chr(7640 - 7541) + chr(0b1101111) + chr(0b1001001 + 0o33) + chr(101))(chr(0b1010110 + 0o37) + chr(0b101110 + 0o106) + chr(0b1100110) + '\055' + chr(0b111000)): xafqLlk3kkUe(WOnrfm4dlYcf, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6&\xea0\xab\xa0\xb0\x05\xe5\xc8\x02'), chr(0b1100100) + chr(0b1001110 + 0o27) + '\143' + chr(0b1101111) + '\144' + chr(3985 - 3884))('\165' + '\164' + '\x66' + chr(0b100011 + 0o12) + '\070'))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf3\xf46\xac'), chr(0b1011001 + 0o13) + '\145' + chr(0b1011111 + 0o4) + '\x6f' + chr(0b1011100 + 0o10) + chr(101))(chr(117) + chr(0b1110100) + '\146' + '\x2d' + chr(2599 - 2543)))([ix9dZyeAmUxY, vEnRXVs42OgZ, qCj6XQ8ebRhj]), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\x04\xd0(\x8f\xb0\x82Q\xec\xf96\xa0'), '\x64' + '\x65' + chr(99) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1101010 + 0o13) + chr(0b1110100) + chr(0b110001 + 0o65) + chr(0b1000 + 0o45) + chr(56)))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3'), chr(100) + '\x65' + chr(99) + chr(0b1101111) + '\144' + chr(0b1100101))('\165' + '\164' + chr(6999 - 6897) + '\055' + chr(0b111000)): xafqLlk3kkUe(WOnrfm4dlYcf, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6&\xea0\xab\xa0\xb0\x05\xe5\xc8\x02'), '\144' + '\145' + '\x63' + chr(0b111110 + 0o61) + chr(808 - 708) + '\145')(chr(117) + chr(116) + chr(102) + chr(45) + '\070'))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf3\xf46\xac'), '\x64' + '\145' + chr(99) + '\157' + '\144' + '\145')(chr(6211 - 6094) + chr(0b1111 + 0o145) + chr(0b1100110) + '\055' + chr(1461 - 1405)))([ix9dZyeAmUxY, vEnRXVs42OgZ, C09S2DK5vcyK]), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\x04\xd0(\x8f\xb0\x82Q\xec\xf96\xa0'), '\144' + chr(0b1100101) + chr(0b1001110 + 0o25) + chr(111) + chr(100) + '\145')(chr(0b1110101) + chr(0b1101011 + 0o11) + '\146' + chr(0b100000 + 0o15) + '\x38')))} for wgamNHppspXj in vQr8gNKaIaWE(uftkTXJyNORO)})
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x1e\xb3\t\x97\xcd\x8cW\xd4\xe9$\xd5'), '\x64' + chr(0b111000 + 0o55) + chr(0b111011 + 0o50) + chr(11230 - 11119) + chr(1697 - 1597) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(102) + chr(827 - 782) + chr(0b101010 + 0o16))) not in [xafqLlk3kkUe(SXOLrMavuUCe(b'\xd13\xe8*\xba\xa0\xaa\x05\xe8\xd9.\xf3\xdd\xae\xcf\xd0'), chr(0b1011100 + 0o10) + '\145' + chr(0b101101 + 0o66) + chr(0b100111 + 0o110) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1011010 + 0o32) + chr(8027 - 7925) + chr(45) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd69\xe8/\x80\x97\xb1\x04\xe0\xc9\x1f\xc8\xca\xa5\xd0\xc0'), '\144' + '\x65' + '\143' + chr(111) + chr(5758 - 5658) + '\145')('\165' + '\x74' + chr(5020 - 4918) + chr(45) + chr(143 - 87))]:
for wgamNHppspXj in vQr8gNKaIaWE(uftkTXJyNORO):
j1lPDdxcDbRB[xafqLlk3kkUe(SXOLrMavuUCe(b'\xd97\xff<\xad\xa0\xfd\x04'), chr(100) + '\x65' + '\x63' + '\157' + '\144' + chr(9251 - 9150))('\x75' + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)) % wgamNHppspXj][xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3'), chr(0b100110 + 0o76) + '\x65' + chr(0b1100011) + '\157' + chr(0b100110 + 0o76) + chr(0b1001100 + 0o31))(chr(117) + chr(116) + chr(102) + chr(0b1000 + 0o45) + '\x38')] = IDJ2eXGCBCDu.zeros([ix9dZyeAmUxY, ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1205 - 1157), 8), n4ljua2gi1Pr.qzoyXN3kdhDL])
if NE_S2zAzN4PI is not None:
for wgamNHppspXj in vQr8gNKaIaWE(uftkTXJyNORO):
YzJBPucQyDh2 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xd97\xff<\xad\xa0\xfd\x04'), '\x64' + '\x65' + chr(0b100011 + 0o100) + '\x6f' + '\x64' + chr(0b1100101))(chr(9347 - 9230) + '\164' + '\146' + chr(111 - 66) + '\x38') % wgamNHppspXj
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc37\xf40\xbe\x9d\xb4\x05\xdb\xdf\x12\xf8\xc8\xa5'), '\x64' + '\145' + chr(0b1100011) + chr(111) + '\144' + chr(101))('\x75' + '\164' + chr(0b1100110) + chr(0b100100 + 0o11) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90%\xe2<\xbc\x90\xbc\x05\xf6\x83T\xe4\x97\xa5\xd2\xd6HT\xd5\xed\xc4\xcc\xef\xc6{(\xba@\xa1\xcaL\x05\x81:\x82\xd1\xa6Y\x01\xf1\xd4"\xf2<\xb1\x8b\xb1\x0f\xea'), chr(3173 - 3073) + chr(3031 - 2930) + chr(0b1100011) + chr(111) + '\144' + '\145')(chr(0b1110101) + '\164' + '\146' + chr(45) + chr(0b111000)) % (qIzCQVoWrDTz, YzJBPucQyDh2)):
vVYFW9ExGXV5 = WOnrfm4dlYcf.compute_attention_component(NE_S2zAzN4PI, qCj6XQ8ebRhj, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xde'), chr(0b100101 + 0o77) + chr(0b1001 + 0o134) + chr(9673 - 9574) + chr(2539 - 2428) + '\144' + chr(0b1100101))('\165' + '\x74' + chr(0b1000100 + 0o42) + chr(45) + chr(0b110101 + 0o3)), vars_3d_num_heads=UlWL1V3BA5Ze)
vVYFW9ExGXV5 = WOnrfm4dlYcf.split_heads(vVYFW9ExGXV5, n4ljua2gi1Pr.vRVqPOZ1hUG7)
vkDzI5xeOKWd = WOnrfm4dlYcf.compute_attention_component(NE_S2zAzN4PI, C09S2DK5vcyK, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3'), chr(0b1100100) + '\x65' + chr(4543 - 4444) + chr(0b1100111 + 0o10) + chr(0b111010 + 0o52) + chr(0b1010001 + 0o24))('\165' + chr(116) + chr(0b1100110) + '\x2d' + chr(2129 - 2073)), vars_3d_num_heads=UlWL1V3BA5Ze)
vkDzI5xeOKWd = WOnrfm4dlYcf.split_heads(vkDzI5xeOKWd, n4ljua2gi1Pr.vRVqPOZ1hUG7)
j1lPDdxcDbRB[YzJBPucQyDh2][xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\t\xe37\xbc\x9b\xbd\x03'), chr(100) + '\145' + '\143' + chr(0b11101 + 0o122) + '\144' + '\145')(chr(0b100 + 0o161) + chr(0b1110100) + '\x66' + chr(45) + '\070')] = vVYFW9ExGXV5
j1lPDdxcDbRB[YzJBPucQyDh2][xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\t\xe37\xbc\x9b\xbd\x03'), chr(0b1100100) + chr(0b1100101) + chr(0b1011000 + 0o13) + '\157' + chr(0b1100100) + chr(4334 - 4233))('\165' + '\164' + '\x66' + chr(0b101101) + '\x38')] = vkDzI5xeOKWd
j1lPDdxcDbRB[xafqLlk3kkUe(SXOLrMavuUCe(b'\xd08\xe56\xbb\x9a\xaa?\xeb\xd9\x05\xe7\xcd\xb4'), '\x64' + '\x65' + chr(9216 - 9117) + chr(11458 - 11347) + '\144' + chr(0b1100101))('\x75' + chr(0b1011 + 0o151) + chr(8461 - 8359) + chr(45) + '\070')] = NE_S2zAzN4PI
j1lPDdxcDbRB[xafqLlk3kkUe(SXOLrMavuUCe(b'\xd08\xe56\xbb\x9a\xaa?\xe0\xc9\x12\xf8\xdc\xa5\xce\xeaME\xc2\xd7\xcb\xcc\xf2\xcc{\x03\xb1F\xae\x96'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(2748 - 2647))(chr(3774 - 3657) + chr(0b11101 + 0o127) + '\x66' + '\055' + '\070')] = iuvkQfeRHfn5
return j1lPDdxcDbRB
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
fast_decode_tpu
|
def fast_decode_tpu(encoder_output,
encoder_decoder_attention_bias,
symbols_to_logits_fn,
hparams,
decode_length,
vocab_size,
init_cache_fn=_init_transformer_cache,
beam_size=1,
top_beams=1,
alpha=1.0,
sos_id=0,
eos_id=beam_search.EOS_ID,
batch_size=None,
force_decode_length=False,
scope_prefix="body/",
use_top_k_with_unique=True):
"""Given encoder output and a symbols to logits function, does fast decoding.
Implements both greedy and beam search decoding for TPU, uses beam search iff
beam_size > 1, otherwise beam search related arguments are ignored.
Args:
encoder_output: A tensor, output from encoder.
encoder_decoder_attention_bias: A tensor, bias for use in encoder-decoder
attention.
symbols_to_logits_fn: Incremental decoding, function mapping triple `(ids,
step, cache)` to symbol logits.
hparams: Run hyperparameters.
decode_length: An integer, how many additional timesteps to decode.
vocab_size: Output vocabulary size.
init_cache_fn: Function that returns the initial cache dict.
beam_size: An integer, number of beams.
top_beams: An integer, how many of the beams to return.
alpha: A float that controls the length penalty. Larger the alpha, stronger
the preference for longer translations.
sos_id: Start-of-sequence symbol.
eos_id: End-of-sequence symbol.
batch_size: An integer, must be passed if there is no input.
force_decode_length: A bool, whether to force the full decode length, or if
False, stop when all beams hit eos_id.
scope_prefix: str, prefix for decoder layer variable scopes.
use_top_k_with_unique: bool, whether to use a fast (but decreased precision)
top_k during beam search.
Returns:
A dict of decoding results {
"outputs": integer `Tensor` of decoded ids of shape
[batch_size, <= decode_length] if top_beams == 1 or
[batch_size, top_beams, <= decode_length] otherwise
"scores": decoding log probs from the beam search,
None if using greedy decoding (beam_size=1)
}.
Raises:
NotImplementedError: If beam size > 1 with partial targets.
"""
if encoder_output is not None:
batch_size = common_layers.shape_list(encoder_output)[0]
cache = init_cache_fn(None, hparams, batch_size, decode_length,
encoder_output, encoder_decoder_attention_bias,
scope_prefix)
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_SEQ_BEAM_SEARCH,
value={
"vocab_size": vocab_size,
"batch_size": batch_size,
"beam_size": beam_size,
"alpha": alpha,
"max_decode_length": decode_length
},
hparams=hparams)
if beam_size > 1: # Beam Search
initial_ids = sos_id * tf.ones([batch_size], dtype=tf.int32)
decoded_ids, scores, _ = beam_search.beam_search(
symbols_to_logits_fn,
initial_ids,
beam_size,
decode_length,
vocab_size,
alpha,
states=cache,
eos_id=eos_id,
stop_early=(top_beams == 1),
use_tpu=True,
use_top_k_with_unique=use_top_k_with_unique)
if top_beams == 1:
decoded_ids = decoded_ids[:, 0, 1:]
scores = scores[:, 0]
else:
decoded_ids = decoded_ids[:, :top_beams, 1:]
scores = scores[:, :top_beams]
else: # Greedy
def inner_loop(i, hit_eos, next_id, decoded_ids, cache, log_prob):
"""One step of greedy decoding."""
logits, cache = symbols_to_logits_fn(next_id, i, cache)
log_probs = common_layers.log_prob_from_logits(logits)
temperature = getattr(hparams, "sampling_temp", 0.0)
keep_top = getattr(hparams, "sampling_keep_top_k", -1)
if hparams.sampling_method == "argmax":
temperature = 0.0
next_id = common_layers.sample_with_temperature(
logits, temperature, keep_top)
hit_eos |= tf.equal(next_id, eos_id)
log_prob_indices = tf.stack([tf.range(tf.to_int64(batch_size)), next_id],
axis=1)
log_prob += tf.gather_nd(log_probs, log_prob_indices)
next_id = tf.expand_dims(next_id, axis=1)
decoded_ids = tf.transpose(decoded_ids)
decoded_ids = inplace_ops.alias_inplace_update(
decoded_ids, i, tf.squeeze(next_id, axis=1))
decoded_ids = tf.transpose(decoded_ids)
return i + 1, hit_eos, next_id, decoded_ids, cache, log_prob
def is_not_finished(i, hit_eos, *_):
finished = i >= decode_length
if not force_decode_length:
finished |= tf.reduce_all(hit_eos)
return tf.logical_not(finished)
decoded_ids = tf.zeros([batch_size, decode_length], dtype=tf.int64)
hit_eos = tf.fill([batch_size], False)
next_id = sos_id * tf.ones([batch_size, 1], dtype=tf.int64)
initial_log_prob = tf.zeros([batch_size], dtype=tf.float32)
def compute_cache_shape_invariants(tensor):
return tf.TensorShape(tensor.shape.as_list())
_, _, _, decoded_ids, _, log_prob = tf.while_loop(
is_not_finished,
inner_loop, [
tf.constant(0), hit_eos, next_id, decoded_ids, cache,
initial_log_prob
],
shape_invariants=[
tf.TensorShape([]),
tf.TensorShape([batch_size]),
tf.TensorShape([batch_size, 1]),
tf.TensorShape([batch_size, decode_length]),
nest.map_structure(compute_cache_shape_invariants, cache),
tf.TensorShape([batch_size]),
])
scores = log_prob
return {"outputs": decoded_ids, "scores": scores}
|
python
|
def fast_decode_tpu(encoder_output,
encoder_decoder_attention_bias,
symbols_to_logits_fn,
hparams,
decode_length,
vocab_size,
init_cache_fn=_init_transformer_cache,
beam_size=1,
top_beams=1,
alpha=1.0,
sos_id=0,
eos_id=beam_search.EOS_ID,
batch_size=None,
force_decode_length=False,
scope_prefix="body/",
use_top_k_with_unique=True):
"""Given encoder output and a symbols to logits function, does fast decoding.
Implements both greedy and beam search decoding for TPU, uses beam search iff
beam_size > 1, otherwise beam search related arguments are ignored.
Args:
encoder_output: A tensor, output from encoder.
encoder_decoder_attention_bias: A tensor, bias for use in encoder-decoder
attention.
symbols_to_logits_fn: Incremental decoding, function mapping triple `(ids,
step, cache)` to symbol logits.
hparams: Run hyperparameters.
decode_length: An integer, how many additional timesteps to decode.
vocab_size: Output vocabulary size.
init_cache_fn: Function that returns the initial cache dict.
beam_size: An integer, number of beams.
top_beams: An integer, how many of the beams to return.
alpha: A float that controls the length penalty. Larger the alpha, stronger
the preference for longer translations.
sos_id: Start-of-sequence symbol.
eos_id: End-of-sequence symbol.
batch_size: An integer, must be passed if there is no input.
force_decode_length: A bool, whether to force the full decode length, or if
False, stop when all beams hit eos_id.
scope_prefix: str, prefix for decoder layer variable scopes.
use_top_k_with_unique: bool, whether to use a fast (but decreased precision)
top_k during beam search.
Returns:
A dict of decoding results {
"outputs": integer `Tensor` of decoded ids of shape
[batch_size, <= decode_length] if top_beams == 1 or
[batch_size, top_beams, <= decode_length] otherwise
"scores": decoding log probs from the beam search,
None if using greedy decoding (beam_size=1)
}.
Raises:
NotImplementedError: If beam size > 1 with partial targets.
"""
if encoder_output is not None:
batch_size = common_layers.shape_list(encoder_output)[0]
cache = init_cache_fn(None, hparams, batch_size, decode_length,
encoder_output, encoder_decoder_attention_bias,
scope_prefix)
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_SEQ_BEAM_SEARCH,
value={
"vocab_size": vocab_size,
"batch_size": batch_size,
"beam_size": beam_size,
"alpha": alpha,
"max_decode_length": decode_length
},
hparams=hparams)
if beam_size > 1: # Beam Search
initial_ids = sos_id * tf.ones([batch_size], dtype=tf.int32)
decoded_ids, scores, _ = beam_search.beam_search(
symbols_to_logits_fn,
initial_ids,
beam_size,
decode_length,
vocab_size,
alpha,
states=cache,
eos_id=eos_id,
stop_early=(top_beams == 1),
use_tpu=True,
use_top_k_with_unique=use_top_k_with_unique)
if top_beams == 1:
decoded_ids = decoded_ids[:, 0, 1:]
scores = scores[:, 0]
else:
decoded_ids = decoded_ids[:, :top_beams, 1:]
scores = scores[:, :top_beams]
else: # Greedy
def inner_loop(i, hit_eos, next_id, decoded_ids, cache, log_prob):
"""One step of greedy decoding."""
logits, cache = symbols_to_logits_fn(next_id, i, cache)
log_probs = common_layers.log_prob_from_logits(logits)
temperature = getattr(hparams, "sampling_temp", 0.0)
keep_top = getattr(hparams, "sampling_keep_top_k", -1)
if hparams.sampling_method == "argmax":
temperature = 0.0
next_id = common_layers.sample_with_temperature(
logits, temperature, keep_top)
hit_eos |= tf.equal(next_id, eos_id)
log_prob_indices = tf.stack([tf.range(tf.to_int64(batch_size)), next_id],
axis=1)
log_prob += tf.gather_nd(log_probs, log_prob_indices)
next_id = tf.expand_dims(next_id, axis=1)
decoded_ids = tf.transpose(decoded_ids)
decoded_ids = inplace_ops.alias_inplace_update(
decoded_ids, i, tf.squeeze(next_id, axis=1))
decoded_ids = tf.transpose(decoded_ids)
return i + 1, hit_eos, next_id, decoded_ids, cache, log_prob
def is_not_finished(i, hit_eos, *_):
finished = i >= decode_length
if not force_decode_length:
finished |= tf.reduce_all(hit_eos)
return tf.logical_not(finished)
decoded_ids = tf.zeros([batch_size, decode_length], dtype=tf.int64)
hit_eos = tf.fill([batch_size], False)
next_id = sos_id * tf.ones([batch_size, 1], dtype=tf.int64)
initial_log_prob = tf.zeros([batch_size], dtype=tf.float32)
def compute_cache_shape_invariants(tensor):
return tf.TensorShape(tensor.shape.as_list())
_, _, _, decoded_ids, _, log_prob = tf.while_loop(
is_not_finished,
inner_loop, [
tf.constant(0), hit_eos, next_id, decoded_ids, cache,
initial_log_prob
],
shape_invariants=[
tf.TensorShape([]),
tf.TensorShape([batch_size]),
tf.TensorShape([batch_size, 1]),
tf.TensorShape([batch_size, decode_length]),
nest.map_structure(compute_cache_shape_invariants, cache),
tf.TensorShape([batch_size]),
])
scores = log_prob
return {"outputs": decoded_ids, "scores": scores}
|
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"log_prob",
"return",
"{",
"\"outputs\"",
":",
"decoded_ids",
",",
"\"scores\"",
":",
"scores",
"}"
] |
Given encoder output and a symbols to logits function, does fast decoding.
Implements both greedy and beam search decoding for TPU, uses beam search iff
beam_size > 1, otherwise beam search related arguments are ignored.
Args:
encoder_output: A tensor, output from encoder.
encoder_decoder_attention_bias: A tensor, bias for use in encoder-decoder
attention.
symbols_to_logits_fn: Incremental decoding, function mapping triple `(ids,
step, cache)` to symbol logits.
hparams: Run hyperparameters.
decode_length: An integer, how many additional timesteps to decode.
vocab_size: Output vocabulary size.
init_cache_fn: Function that returns the initial cache dict.
beam_size: An integer, number of beams.
top_beams: An integer, how many of the beams to return.
alpha: A float that controls the length penalty. Larger the alpha, stronger
the preference for longer translations.
sos_id: Start-of-sequence symbol.
eos_id: End-of-sequence symbol.
batch_size: An integer, must be passed if there is no input.
force_decode_length: A bool, whether to force the full decode length, or if
False, stop when all beams hit eos_id.
scope_prefix: str, prefix for decoder layer variable scopes.
use_top_k_with_unique: bool, whether to use a fast (but decreased precision)
top_k during beam search.
Returns:
A dict of decoding results {
"outputs": integer `Tensor` of decoded ids of shape
[batch_size, <= decode_length] if top_beams == 1 or
[batch_size, top_beams, <= decode_length] otherwise
"scores": decoding log probs from the beam search,
None if using greedy decoding (beam_size=1)
}.
Raises:
NotImplementedError: If beam size > 1 with partial targets.
|
[
"Given",
"encoder",
"output",
"and",
"a",
"symbols",
"to",
"logits",
"function",
"does",
"fast",
"decoding",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L895-L1045
|
train
|
This function is used to fast decode a TPU encoder output.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(570 - 516) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + '\x33' + chr(1980 - 1930) + chr(0b100000 + 0o23), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1001 + 0o146) + chr(2076 - 2026) + '\061' + chr(0b100110 + 0o12), 0o10), ehT0Px3KOsy9(chr(48) + chr(10473 - 10362) + chr(0b10111 + 0o32) + chr(50) + '\x35', 30548 - 30540), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\x36' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(2554 - 2500) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(184 - 73) + chr(0b110010) + '\x33' + chr(48), 0b1000), ehT0Px3KOsy9(chr(2243 - 2195) + '\157' + '\062' + '\x31' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1110 + 0o44) + '\x36' + chr(658 - 608), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101101 + 0o5) + chr(0b110111) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1777 - 1726) + chr(48) + chr(0b101 + 0o56), 31650 - 31642), ehT0Px3KOsy9(chr(0b110000) + chr(7301 - 7190) + '\x32' + chr(0b11 + 0o60) + chr(1832 - 1777), 13165 - 13157), ehT0Px3KOsy9(chr(48) + chr(9489 - 9378) + '\066', 42954 - 42946), ehT0Px3KOsy9(chr(48) + chr(5505 - 5394) + chr(0b11001 + 0o35) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(6040 - 5929) + '\x32' + '\x33' + chr(0b10101 + 0o33), 8), ehT0Px3KOsy9(chr(774 - 726) + chr(0b1101111) + '\x31' + chr(0b111 + 0o54) + chr(51), 45262 - 45254), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + '\x33' + '\067' + chr(661 - 606), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11 + 0o57) + chr(0b100010 + 0o20) + chr(1922 - 1870), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\067', 0b1000), ehT0Px3KOsy9(chr(1873 - 1825) + chr(111) + chr(50) + chr(0b110000) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1285 - 1233) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(339 - 291) + chr(111) + chr(0b110011), 11640 - 11632), ehT0Px3KOsy9(chr(1714 - 1666) + chr(111) + '\063' + chr(49) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x37' + chr(0b110011), 23061 - 23053), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101000 + 0o12) + '\062' + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\067' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(825 - 777) + chr(0b100 + 0o153) + chr(0b100100 + 0o15) + chr(54) + chr(1356 - 1307), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(422 - 373) + '\064' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b110 + 0o53) + '\x35', 1151 - 1143), ehT0Px3KOsy9(chr(1847 - 1799) + chr(111) + chr(0b110001) + '\063' + '\063', 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(0b100101 + 0o15) + chr(48) + '\066', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b110001 + 0o3) + chr(49), 3063 - 3055), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2331 - 2282) + chr(2089 - 2034) + '\067', 9250 - 9242), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110 + 0o55) + chr(611 - 563) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110100) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1137 - 1089) + chr(0b111011 + 0o64) + chr(0b11 + 0o61) + chr(0b11 + 0o60), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(796 - 685) + '\x36' + chr(0b110110), 8), ehT0Px3KOsy9(chr(1816 - 1768) + chr(1494 - 1383) + '\x35' + '\062', 43527 - 43519), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(11032 - 10921) + '\x34' + chr(0b1100 + 0o47), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b100011 + 0o20) + '\x34', 6589 - 6581)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1485 - 1437) + '\157' + chr(0b1100 + 0o51) + chr(1066 - 1018), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e'), '\144' + '\145' + chr(99) + chr(5487 - 5376) + chr(0b1100100) + chr(4493 - 4392))(chr(0b1110101) + chr(0b1110100) + chr(0b10011 + 0o123) + chr(0b101101) + chr(2841 - 2785)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def OZbMEyz6Xe9g(NE_S2zAzN4PI, iuvkQfeRHfn5, P8dwKNPITUWX, n4ljua2gi1Pr, U6Ej34SVvx1Y, CeyMIoSyrpkQ, RMRJA0endN2X=W3LVwgeNorxZ, PQZjDxhiHJGf=ehT0Px3KOsy9(chr(1214 - 1166) + '\x6f' + chr(0b110001), 0b1000), oC1hU_0mlSje=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(646 - 597), 8), gDUX9w35YHFE=1.0, mVZHeQgAqTdn=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2043 - 1995), 0b1000), fRohXOUUw5Jd=xafqLlk3kkUe(M4QqcqvVKFSA, xafqLlk3kkUe(SXOLrMavuUCe(b'u\x9c\xdb\n;r'), chr(100) + chr(5720 - 5619) + chr(0b1100011) + chr(0b1101111) + chr(0b10100 + 0o120) + '\x65')(chr(12705 - 12588) + chr(12968 - 12852) + '\146' + '\x2d' + chr(0b111000))), ix9dZyeAmUxY=None, JK02OqBH_ERy=ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101 + 0o53), 8), qIzCQVoWrDTz=xafqLlk3kkUe(SXOLrMavuUCe(b'R\xbc\xec,]'), '\144' + chr(0b1100101) + chr(425 - 326) + chr(111) + '\x64' + chr(101))(chr(5838 - 5721) + '\164' + chr(1821 - 1719) + '\x2d' + chr(0b1101 + 0o53)), EvZxy6QSzaKS=ehT0Px3KOsy9('\060' + chr(3725 - 3614) + chr(874 - 825), 8)):
if NE_S2zAzN4PI is not None:
ix9dZyeAmUxY = jSKPaHwSAfVv.shape_list(NE_S2zAzN4PI)[ehT0Px3KOsy9(chr(48) + '\157' + chr(48), 8)]
j1lPDdxcDbRB = RMRJA0endN2X(None, n4ljua2gi1Pr, ix9dZyeAmUxY, U6Ej34SVvx1Y, NE_S2zAzN4PI, iuvkQfeRHfn5, qIzCQVoWrDTz)
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'D\xa1\xe9;\x01P\xf7\xf9\xdf\xdf\xb1\xc0vC\xf15\x8b'), chr(0b1100100) + chr(0b110011 + 0o62) + chr(0b1001101 + 0o26) + '\x6f' + '\144' + chr(0b1100101))('\x75' + chr(0b1110010 + 0o2) + chr(439 - 337) + chr(1566 - 1521) + '\070'))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'}\x9c\xcc\x10>i\xd0\xdb\xed\xe9\x86\xceYs\xdd\x1a\xb2\xcbL\xc4eQ\x88s'), chr(0b1100100) + chr(0b1100101) + chr(4907 - 4808) + chr(111) + '\144' + chr(0b1001111 + 0o26))(chr(0b1110 + 0o147) + '\x74' + chr(10147 - 10045) + '\055' + chr(0b100010 + 0o26))), value={xafqLlk3kkUe(SXOLrMavuUCe(b'F\xbc\xeb4\x10i\xeb\xe2\xc8\xdf'), chr(0b1100011 + 0o1) + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + chr(7950 - 7849))(chr(0b1110101) + chr(0b1101010 + 0o12) + chr(0b1001001 + 0o35) + chr(0b101101) + chr(56)): CeyMIoSyrpkQ, xafqLlk3kkUe(SXOLrMavuUCe(b'R\xb2\xfc6\x1ai\xeb\xe2\xc8\xdf'), chr(9723 - 9623) + chr(101) + '\143' + chr(12288 - 12177) + '\x64' + chr(0b111011 + 0o52))(chr(0b1110101) + chr(116) + chr(5793 - 5691) + '\x2d' + chr(0b111000)): ix9dZyeAmUxY, xafqLlk3kkUe(SXOLrMavuUCe(b'R\xb6\xe98-E\xf1\xf1\xd7'), chr(1579 - 1479) + '\145' + chr(99) + chr(0b1010011 + 0o34) + chr(0b101110 + 0o66) + '\145')(chr(0b1011100 + 0o31) + chr(10801 - 10685) + '\x66' + '\x2d' + chr(1536 - 1480)): PQZjDxhiHJGf, xafqLlk3kkUe(SXOLrMavuUCe(b'Q\xbf\xf8=\x13'), chr(0b1100100) + chr(101) + chr(0b1011101 + 0o6) + chr(0b1101111 + 0o0) + '\144' + '\145')(chr(0b1110101) + chr(116) + chr(0b1100110) + '\x2d' + chr(580 - 524)): gDUX9w35YHFE, xafqLlk3kkUe(SXOLrMavuUCe(b']\xb2\xf0\n\x16S\xfb\xe4\xd6\xdf\x9c\xf3c_\xff/\x97'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + chr(5702 - 5602) + chr(0b1001001 + 0o34))(chr(9074 - 8957) + '\x74' + chr(3114 - 3012) + chr(0b101101) + '\x38'): U6Ej34SVvx1Y}, hparams=n4ljua2gi1Pr)
if PQZjDxhiHJGf > ehT0Px3KOsy9(chr(48) + '\157' + '\061', 8):
WPnuojygthCW = mVZHeQgAqTdn * IDJ2eXGCBCDu.ones([ix9dZyeAmUxY], dtype=IDJ2eXGCBCDu.int32)
(zkkfVju9yHqB, b8rpGniBNUPr, VNGQdHSFPrso) = M4QqcqvVKFSA.beam_search(P8dwKNPITUWX, WPnuojygthCW, PQZjDxhiHJGf, U6Ej34SVvx1Y, CeyMIoSyrpkQ, gDUX9w35YHFE, states=j1lPDdxcDbRB, eos_id=fRohXOUUw5Jd, stop_early=oC1hU_0mlSje == ehT0Px3KOsy9('\060' + chr(111) + '\061', 8), use_tpu=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1269 - 1220), 8), use_top_k_with_unique=EvZxy6QSzaKS)
if oC1hU_0mlSje == ehT0Px3KOsy9('\x30' + '\157' + chr(49), 8):
zkkfVju9yHqB = zkkfVju9yHqB[:, ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(48), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 8):]
b8rpGniBNUPr = b8rpGniBNUPr[:, ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 8)]
else:
zkkfVju9yHqB = zkkfVju9yHqB[:, :oC1hU_0mlSje, ehT0Px3KOsy9('\060' + chr(111) + chr(49), 8):]
b8rpGniBNUPr = b8rpGniBNUPr[:, :oC1hU_0mlSje]
else:
def WV64Y4kADLvt(WVxHKyX45z_L, PtA8Cp4Y20rP, EWYFyoy18Oir, zkkfVju9yHqB, j1lPDdxcDbRB, OIT2r1yVMrzD):
(wF9nmvjsKjYM, j1lPDdxcDbRB) = P8dwKNPITUWX(EWYFyoy18Oir, WVxHKyX45z_L, j1lPDdxcDbRB)
yPp0Syg5g6oO = jSKPaHwSAfVv.log_prob_from_logits(wF9nmvjsKjYM)
uICaXvjWrxGa = xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'C\xb2\xe5%\x1e_\xf6\xec\xed\xce\xa6\xf2v'), chr(100) + '\x65' + '\143' + chr(111) + chr(100) + chr(8330 - 8229))('\x75' + chr(0b1000 + 0o154) + '\x66' + '\055' + chr(56)), 0.0)
MlV3EFkJzkFe = xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'C\xb2\xe5%\x1e_\xf6\xec\xed\xd1\xa6\xfavn\xec4\x8f\xcbt'), chr(0b1100100) + chr(101) + chr(4555 - 4456) + '\x6f' + chr(0b111 + 0o135) + chr(0b1100101))(chr(5823 - 5706) + chr(2525 - 2409) + chr(0b100110 + 0o100) + chr(45) + chr(0b100011 + 0o25)), -ehT0Px3KOsy9('\060' + '\x6f' + chr(1394 - 1345), 8))
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'e\xb7\xb9\x1c\x1cg\xaf\xe3\xd3\xca\xac\xef'), chr(0b1100100) + chr(0b1001001 + 0o34) + chr(99) + chr(111) + chr(0b1000010 + 0o42) + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b11100 + 0o21) + chr(56))) == xafqLlk3kkUe(SXOLrMavuUCe(b'Q\xa1\xef8\x13N'), '\144' + chr(1773 - 1672) + chr(0b11 + 0o140) + chr(0b1011100 + 0o23) + '\144' + '\x65')(chr(10541 - 10424) + chr(0b101 + 0o157) + '\146' + chr(45) + chr(0b111000)):
uICaXvjWrxGa = 0.0
EWYFyoy18Oir = jSKPaHwSAfVv.sample_with_temperature(wF9nmvjsKjYM, uICaXvjWrxGa, MlV3EFkJzkFe)
PtA8Cp4Y20rP |= IDJ2eXGCBCDu.equal(EWYFyoy18Oir, fRohXOUUw5Jd)
gpuiYRYOzXHF = IDJ2eXGCBCDu.stack([IDJ2eXGCBCDu.range(IDJ2eXGCBCDu.to_int64(ix9dZyeAmUxY)), EWYFyoy18Oir], axis=ehT0Px3KOsy9(chr(1989 - 1941) + '\157' + chr(0b110001), 8))
OIT2r1yVMrzD += IDJ2eXGCBCDu.gather_nd(yPp0Syg5g6oO, gpuiYRYOzXHF)
EWYFyoy18Oir = IDJ2eXGCBCDu.expand_dims(EWYFyoy18Oir, axis=ehT0Px3KOsy9(chr(1480 - 1432) + '\157' + '\x31', 8))
zkkfVju9yHqB = IDJ2eXGCBCDu.transpose(zkkfVju9yHqB)
zkkfVju9yHqB = GanXbkgpxGLx.alias_inplace_update(zkkfVju9yHqB, WVxHKyX45z_L, IDJ2eXGCBCDu.squeeze(EWYFyoy18Oir, axis=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 8)))
zkkfVju9yHqB = IDJ2eXGCBCDu.transpose(zkkfVju9yHqB)
return (WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1001 + 0o50), 8), PtA8Cp4Y20rP, EWYFyoy18Oir, zkkfVju9yHqB, j1lPDdxcDbRB, OIT2r1yVMrzD)
def DRy7I1Hu3RKr(WVxHKyX45z_L, PtA8Cp4Y20rP, *VNGQdHSFPrso):
NTRJeiwBLUyk = WVxHKyX45z_L >= U6Ej34SVvx1Y
if not JK02OqBH_ERy:
NTRJeiwBLUyk |= IDJ2eXGCBCDu.reduce_all(PtA8Cp4Y20rP)
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\\\xbc\xef<\x11W\xf4\xd4\xdc\xd5\xb7'), chr(0b1100001 + 0o3) + chr(0b1100101) + chr(0b110110 + 0o55) + chr(7960 - 7849) + chr(0b1100100) + chr(0b1010101 + 0o20))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b10111 + 0o26) + chr(0b111000)))(NTRJeiwBLUyk)
zkkfVju9yHqB = IDJ2eXGCBCDu.zeros([ix9dZyeAmUxY, U6Ej34SVvx1Y], dtype=IDJ2eXGCBCDu.int64)
PtA8Cp4Y20rP = IDJ2eXGCBCDu.fill([ix9dZyeAmUxY], ehT0Px3KOsy9(chr(1889 - 1841) + '\157' + chr(1863 - 1815), 8))
EWYFyoy18Oir = mVZHeQgAqTdn * IDJ2eXGCBCDu.ones([ix9dZyeAmUxY, ehT0Px3KOsy9(chr(311 - 263) + chr(7553 - 7442) + '\x31', 8)], dtype=IDJ2eXGCBCDu.int64)
W2yw9ToknE5I = IDJ2eXGCBCDu.zeros([ix9dZyeAmUxY], dtype=IDJ2eXGCBCDu.float32)
def xS9OiUMkw0z_(LK3cpXJU3UM0):
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'd\xb6\xe6&\x1dD\xcb\xe3\xd3\xca\xa6'), chr(0b100 + 0o140) + chr(4851 - 4750) + '\143' + chr(0b11111 + 0o120) + '\x64' + '\x65')(chr(0b1110101) + chr(0b11101 + 0o127) + chr(5371 - 5269) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(LK3cpXJU3UM0.shape, xafqLlk3kkUe(SXOLrMavuUCe(b'Q\xa0\xd79\x1bE\xec'), chr(100) + chr(4153 - 4052) + chr(152 - 53) + '\x6f' + chr(100) + chr(8143 - 8042))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b11 + 0o52) + '\070'))())
(VNGQdHSFPrso, VNGQdHSFPrso, VNGQdHSFPrso, zkkfVju9yHqB, VNGQdHSFPrso, OIT2r1yVMrzD) = IDJ2eXGCBCDu.while_loop(DRy7I1Hu3RKr, WV64Y4kADLvt, [IDJ2eXGCBCDu.constant(ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(48), 8)), PtA8Cp4Y20rP, EWYFyoy18Oir, zkkfVju9yHqB, j1lPDdxcDbRB, W2yw9ToknE5I], shape_invariants=[IDJ2eXGCBCDu.TensorShape([]), IDJ2eXGCBCDu.TensorShape([ix9dZyeAmUxY]), IDJ2eXGCBCDu.TensorShape([ix9dZyeAmUxY, ehT0Px3KOsy9(chr(48) + chr(111) + '\x31', 8)]), IDJ2eXGCBCDu.TensorShape([ix9dZyeAmUxY, U6Ej34SVvx1Y]), mnU87WrcOgNU.map_structure(xS9OiUMkw0z_, j1lPDdxcDbRB), IDJ2eXGCBCDu.TensorShape([ix9dZyeAmUxY])])
b8rpGniBNUPr = OIT2r1yVMrzD
return {xafqLlk3kkUe(SXOLrMavuUCe(b'_\xa6\xfc%\x07B\xeb'), chr(100) + chr(0b10011 + 0o122) + chr(6076 - 5977) + '\157' + '\x64' + chr(101))(chr(0b1110101) + chr(0b1110100) + '\146' + '\x2d' + chr(56)): zkkfVju9yHqB, xafqLlk3kkUe(SXOLrMavuUCe(b"C\xb0\xe7'\x17E"), chr(4009 - 3909) + '\145' + '\143' + chr(0b1101111) + chr(100) + chr(101))(chr(10136 - 10019) + chr(0b1110100) + chr(10264 - 10162) + chr(45) + chr(56)): b8rpGniBNUPr}
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
fast_decode
|
def fast_decode(encoder_output,
encoder_decoder_attention_bias,
symbols_to_logits_fn,
hparams,
decode_length,
vocab_size,
init_cache_fn=_init_transformer_cache,
beam_size=1,
top_beams=1,
alpha=1.0,
sos_id=0,
eos_id=beam_search.EOS_ID,
batch_size=None,
force_decode_length=False,
scope_prefix="body/",
cache=None):
"""Given encoder output and a symbols to logits function, does fast decoding.
Implements both greedy and beam search decoding, uses beam search iff
beam_size > 1, otherwise beam search related arguments are ignored.
Args:
encoder_output: Output from encoder.
encoder_decoder_attention_bias: a bias tensor for use in encoder-decoder
attention
symbols_to_logits_fn: Incremental decoding; function mapping triple `(ids,
step, cache)` to symbol logits.
hparams: run hyperparameters
decode_length: an integer. How many additional timesteps to decode.
vocab_size: Output vocabulary size.
init_cache_fn: Function that returns the initial cache dict.
beam_size: number of beams.
top_beams: an integer. How many of the beams to return.
alpha: Float that controls the length penalty. larger the alpha, stronger
the preference for longer translations.
sos_id: End-of-sequence symbol in beam search.
eos_id: End-of-sequence symbol in beam search.
batch_size: an integer scalar - must be passed if there is no input
force_decode_length: bool, whether to force the full decode length, or if
False, stop when all beams hit eos_id.
scope_prefix: str, prefix for decoder layer variable scopes.
cache: cache dictionary for additional predictions.
Returns:
A dict of decoding results {
"outputs": integer `Tensor` of decoded ids of shape
[batch_size, <= decode_length] if top_beams == 1 or
[batch_size, top_beams, <= decode_length] otherwise
"scores": decoding log probs from the beam search,
None if using greedy decoding (beam_size=1)
}
Raises:
NotImplementedError: If beam size > 1 with partial targets.
"""
if encoder_output is not None:
batch_size = common_layers.shape_list(encoder_output)[0]
cache = init_cache_fn(
cache=cache,
hparams=hparams,
batch_size=batch_size,
attention_init_length=0,
encoder_output=encoder_output,
encoder_decoder_attention_bias=encoder_decoder_attention_bias,
scope_prefix=scope_prefix)
if beam_size > 1: # Beam Search
initial_ids = sos_id * tf.ones([batch_size], dtype=tf.int32)
decoded_ids, scores, cache = beam_search.beam_search(
symbols_to_logits_fn,
initial_ids,
beam_size,
decode_length,
vocab_size,
alpha,
states=cache,
eos_id=eos_id,
stop_early=(top_beams == 1))
if top_beams == 1:
decoded_ids = decoded_ids[:, 0, 1:]
scores = scores[:, 0]
else:
decoded_ids = decoded_ids[:, :top_beams, 1:]
scores = scores[:, :top_beams]
else: # Greedy
def inner_loop(i, hit_eos, next_id, decoded_ids, cache, log_prob):
"""One step of greedy decoding."""
logits, cache = symbols_to_logits_fn(next_id, i, cache)
log_probs = common_layers.log_prob_from_logits(logits)
temperature = getattr(hparams, "sampling_temp", 0.0)
keep_top = getattr(hparams, "sampling_keep_top_k", -1)
if hparams.sampling_method == "argmax":
temperature = 0.0
next_id = common_layers.sample_with_temperature(
logits, temperature, keep_top)
hit_eos |= tf.equal(next_id, eos_id)
log_prob_indices = tf.stack([tf.range(tf.to_int64(batch_size)), next_id],
axis=1)
log_prob += tf.gather_nd(log_probs, log_prob_indices)
next_id = tf.expand_dims(next_id, axis=1)
decoded_ids = tf.concat([decoded_ids, next_id], axis=1)
return i + 1, hit_eos, next_id, decoded_ids, cache, log_prob
def is_not_finished(i, hit_eos, *_):
finished = i >= decode_length
if not force_decode_length:
finished |= tf.reduce_all(hit_eos)
return tf.logical_not(finished)
decoded_ids = tf.zeros([batch_size, 0], dtype=tf.int64)
hit_eos = tf.fill([batch_size], False)
next_id = sos_id * tf.ones([batch_size, 1], dtype=tf.int64)
initial_log_prob = tf.zeros([batch_size], dtype=tf.float32)
_, _, _, decoded_ids, cache, log_prob = tf.while_loop(
is_not_finished,
inner_loop, [
tf.constant(0), hit_eos, next_id, decoded_ids, cache,
initial_log_prob
],
shape_invariants=[
tf.TensorShape([]),
tf.TensorShape([None]),
tf.TensorShape([None, None]),
tf.TensorShape([None, None]),
nest.map_structure(beam_search.get_state_shape_invariants, cache),
tf.TensorShape([None]),
])
scores = log_prob
return {"outputs": decoded_ids, "scores": scores, "cache": cache}
|
python
|
def fast_decode(encoder_output,
encoder_decoder_attention_bias,
symbols_to_logits_fn,
hparams,
decode_length,
vocab_size,
init_cache_fn=_init_transformer_cache,
beam_size=1,
top_beams=1,
alpha=1.0,
sos_id=0,
eos_id=beam_search.EOS_ID,
batch_size=None,
force_decode_length=False,
scope_prefix="body/",
cache=None):
"""Given encoder output and a symbols to logits function, does fast decoding.
Implements both greedy and beam search decoding, uses beam search iff
beam_size > 1, otherwise beam search related arguments are ignored.
Args:
encoder_output: Output from encoder.
encoder_decoder_attention_bias: a bias tensor for use in encoder-decoder
attention
symbols_to_logits_fn: Incremental decoding; function mapping triple `(ids,
step, cache)` to symbol logits.
hparams: run hyperparameters
decode_length: an integer. How many additional timesteps to decode.
vocab_size: Output vocabulary size.
init_cache_fn: Function that returns the initial cache dict.
beam_size: number of beams.
top_beams: an integer. How many of the beams to return.
alpha: Float that controls the length penalty. larger the alpha, stronger
the preference for longer translations.
sos_id: End-of-sequence symbol in beam search.
eos_id: End-of-sequence symbol in beam search.
batch_size: an integer scalar - must be passed if there is no input
force_decode_length: bool, whether to force the full decode length, or if
False, stop when all beams hit eos_id.
scope_prefix: str, prefix for decoder layer variable scopes.
cache: cache dictionary for additional predictions.
Returns:
A dict of decoding results {
"outputs": integer `Tensor` of decoded ids of shape
[batch_size, <= decode_length] if top_beams == 1 or
[batch_size, top_beams, <= decode_length] otherwise
"scores": decoding log probs from the beam search,
None if using greedy decoding (beam_size=1)
}
Raises:
NotImplementedError: If beam size > 1 with partial targets.
"""
if encoder_output is not None:
batch_size = common_layers.shape_list(encoder_output)[0]
cache = init_cache_fn(
cache=cache,
hparams=hparams,
batch_size=batch_size,
attention_init_length=0,
encoder_output=encoder_output,
encoder_decoder_attention_bias=encoder_decoder_attention_bias,
scope_prefix=scope_prefix)
if beam_size > 1: # Beam Search
initial_ids = sos_id * tf.ones([batch_size], dtype=tf.int32)
decoded_ids, scores, cache = beam_search.beam_search(
symbols_to_logits_fn,
initial_ids,
beam_size,
decode_length,
vocab_size,
alpha,
states=cache,
eos_id=eos_id,
stop_early=(top_beams == 1))
if top_beams == 1:
decoded_ids = decoded_ids[:, 0, 1:]
scores = scores[:, 0]
else:
decoded_ids = decoded_ids[:, :top_beams, 1:]
scores = scores[:, :top_beams]
else: # Greedy
def inner_loop(i, hit_eos, next_id, decoded_ids, cache, log_prob):
"""One step of greedy decoding."""
logits, cache = symbols_to_logits_fn(next_id, i, cache)
log_probs = common_layers.log_prob_from_logits(logits)
temperature = getattr(hparams, "sampling_temp", 0.0)
keep_top = getattr(hparams, "sampling_keep_top_k", -1)
if hparams.sampling_method == "argmax":
temperature = 0.0
next_id = common_layers.sample_with_temperature(
logits, temperature, keep_top)
hit_eos |= tf.equal(next_id, eos_id)
log_prob_indices = tf.stack([tf.range(tf.to_int64(batch_size)), next_id],
axis=1)
log_prob += tf.gather_nd(log_probs, log_prob_indices)
next_id = tf.expand_dims(next_id, axis=1)
decoded_ids = tf.concat([decoded_ids, next_id], axis=1)
return i + 1, hit_eos, next_id, decoded_ids, cache, log_prob
def is_not_finished(i, hit_eos, *_):
finished = i >= decode_length
if not force_decode_length:
finished |= tf.reduce_all(hit_eos)
return tf.logical_not(finished)
decoded_ids = tf.zeros([batch_size, 0], dtype=tf.int64)
hit_eos = tf.fill([batch_size], False)
next_id = sos_id * tf.ones([batch_size, 1], dtype=tf.int64)
initial_log_prob = tf.zeros([batch_size], dtype=tf.float32)
_, _, _, decoded_ids, cache, log_prob = tf.while_loop(
is_not_finished,
inner_loop, [
tf.constant(0), hit_eos, next_id, decoded_ids, cache,
initial_log_prob
],
shape_invariants=[
tf.TensorShape([]),
tf.TensorShape([None]),
tf.TensorShape([None, None]),
tf.TensorShape([None, None]),
nest.map_structure(beam_search.get_state_shape_invariants, cache),
tf.TensorShape([None]),
])
scores = log_prob
return {"outputs": decoded_ids, "scores": scores, "cache": cache}
|
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] |
Given encoder output and a symbols to logits function, does fast decoding.
Implements both greedy and beam search decoding, uses beam search iff
beam_size > 1, otherwise beam search related arguments are ignored.
Args:
encoder_output: Output from encoder.
encoder_decoder_attention_bias: a bias tensor for use in encoder-decoder
attention
symbols_to_logits_fn: Incremental decoding; function mapping triple `(ids,
step, cache)` to symbol logits.
hparams: run hyperparameters
decode_length: an integer. How many additional timesteps to decode.
vocab_size: Output vocabulary size.
init_cache_fn: Function that returns the initial cache dict.
beam_size: number of beams.
top_beams: an integer. How many of the beams to return.
alpha: Float that controls the length penalty. larger the alpha, stronger
the preference for longer translations.
sos_id: End-of-sequence symbol in beam search.
eos_id: End-of-sequence symbol in beam search.
batch_size: an integer scalar - must be passed if there is no input
force_decode_length: bool, whether to force the full decode length, or if
False, stop when all beams hit eos_id.
scope_prefix: str, prefix for decoder layer variable scopes.
cache: cache dictionary for additional predictions.
Returns:
A dict of decoding results {
"outputs": integer `Tensor` of decoded ids of shape
[batch_size, <= decode_length] if top_beams == 1 or
[batch_size, top_beams, <= decode_length] otherwise
"scores": decoding log probs from the beam search,
None if using greedy decoding (beam_size=1)
}
Raises:
NotImplementedError: If beam size > 1 with partial targets.
|
[
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"decoding",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1048-L1182
|
train
|
This function does fast decoding of the encoder.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2000 - 1952) + chr(111) + chr(50) + chr(0b110111) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(1356 - 1305) + chr(0b10 + 0o65), 0o10), ehT0Px3KOsy9(chr(48) + chr(3987 - 3876) + '\061' + '\064' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\x32' + chr(0b101010 + 0o10), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\x33' + '\067', 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\x32' + chr(348 - 298) + chr(48), 1820 - 1812), ehT0Px3KOsy9(chr(1112 - 1064) + chr(0b11000 + 0o127) + chr(0b10011 + 0o37) + chr(0b1010 + 0o51) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(1774 - 1725) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(53) + chr(2129 - 2080), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10277 - 10166) + chr(0b110001) + '\x32' + chr(1852 - 1801), 19340 - 19332), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1865 - 1816) + '\063' + '\060', 1953 - 1945), ehT0Px3KOsy9(chr(1010 - 962) + chr(111) + chr(0b110001) + chr(950 - 898) + '\x32', 8), ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + chr(0b110011) + chr(55) + chr(2349 - 2295), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101011 + 0o4) + chr(0b10000 + 0o46) + '\062', 0o10), ehT0Px3KOsy9(chr(1656 - 1608) + '\x6f' + chr(51) + '\067', 62174 - 62166), ehT0Px3KOsy9('\x30' + chr(0b1000111 + 0o50) + '\061' + chr(1690 - 1640) + chr(1456 - 1408), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + chr(972 - 923) + chr(0b110011) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(965 - 916) + chr(1054 - 1006), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(51) + '\066' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(0b11010 + 0o27) + chr(54) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(796 - 747) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(50) + chr(0b1110 + 0o51), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(49) + chr(0b110100) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(9723 - 9612) + chr(0b110010) + chr(0b100010 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010000 + 0o37) + chr(0b110111) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101010 + 0o5) + chr(0b1 + 0o61) + chr(54) + chr(1413 - 1358), 0o10), ehT0Px3KOsy9(chr(894 - 846) + chr(0b1101111) + chr(51) + chr(0b110011) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\067', 12670 - 12662), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + '\x32' + '\063' + chr(556 - 508), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1925 - 1876) + chr(0b110000) + chr(0b1110 + 0o50), 24623 - 24615), ehT0Px3KOsy9(chr(48) + chr(6019 - 5908) + chr(0b110010 + 0o0) + chr(0b110101) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(649 - 598) + chr(55) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(6795 - 6684) + '\x33' + chr(0b110000) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(765 - 717) + chr(12250 - 12139) + chr(0b110011) + '\x35' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(55) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7265 - 7154) + chr(51) + chr(0b110010) + chr(0b11110 + 0o31), 17808 - 17800), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + '\x31' + chr(1847 - 1794) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11101 + 0o25) + chr(0b110010) + chr(50), 42392 - 42384)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + '\065' + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x92'), chr(0b10 + 0o142) + chr(0b1100101) + '\143' + chr(111) + chr(0b1011101 + 0o7) + '\145')('\x75' + chr(10776 - 10660) + '\146' + chr(451 - 406) + chr(481 - 425)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def e9hP2rlOJ6HU(NE_S2zAzN4PI, iuvkQfeRHfn5, P8dwKNPITUWX, n4ljua2gi1Pr, U6Ej34SVvx1Y, CeyMIoSyrpkQ, RMRJA0endN2X=W3LVwgeNorxZ, PQZjDxhiHJGf=ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(6069 - 5958) + chr(49), ord("\x08")), oC1hU_0mlSje=ehT0Px3KOsy9('\060' + '\x6f' + '\x31', 8), gDUX9w35YHFE=1.0, mVZHeQgAqTdn=ehT0Px3KOsy9('\x30' + chr(7713 - 7602) + '\x30', 0o10), fRohXOUUw5Jd=xafqLlk3kkUe(M4QqcqvVKFSA, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\x901\r\x96\xd4'), '\144' + chr(9449 - 9348) + chr(0b1100011) + chr(111) + '\144' + chr(3279 - 3178))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b11100 + 0o21) + chr(0b11100 + 0o34))), ix9dZyeAmUxY=None, JK02OqBH_ERy=ehT0Px3KOsy9('\060' + '\157' + chr(48), 8), qIzCQVoWrDTz=xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xb0\x06+\xf0'), '\144' + '\x65' + '\x63' + chr(111) + chr(3257 - 3157) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b101101) + '\x38'), j1lPDdxcDbRB=None):
if NE_S2zAzN4PI is not None:
ix9dZyeAmUxY = jSKPaHwSAfVv.shape_list(NE_S2zAzN4PI)[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1001 + 0o47), 8)]
j1lPDdxcDbRB = RMRJA0endN2X(cache=j1lPDdxcDbRB, hparams=n4ljua2gi1Pr, batch_size=ix9dZyeAmUxY, attention_init_length=ehT0Px3KOsy9(chr(0b110000) + chr(12318 - 12207) + chr(1974 - 1926), 8), encoder_output=NE_S2zAzN4PI, encoder_decoder_attention_bias=iuvkQfeRHfn5, scope_prefix=qIzCQVoWrDTz)
if PQZjDxhiHJGf > ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(10792 - 10681) + chr(0b110001), 8):
WPnuojygthCW = mVZHeQgAqTdn * IDJ2eXGCBCDu.ones([ix9dZyeAmUxY], dtype=IDJ2eXGCBCDu.int32)
(zkkfVju9yHqB, b8rpGniBNUPr, j1lPDdxcDbRB) = M4QqcqvVKFSA.beam_search(P8dwKNPITUWX, WPnuojygthCW, PQZjDxhiHJGf, U6Ej34SVvx1Y, CeyMIoSyrpkQ, gDUX9w35YHFE, states=j1lPDdxcDbRB, eos_id=fRohXOUUw5Jd, stop_early=oC1hU_0mlSje == ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + '\x31', 8))
if oC1hU_0mlSje == ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + chr(0b110001), 8):
zkkfVju9yHqB = zkkfVju9yHqB[:, ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1011 + 0o144) + chr(0b100111 + 0o11), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001 + 0o146) + chr(2370 - 2321), 8):]
b8rpGniBNUPr = b8rpGniBNUPr[:, ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(1052 - 1004), 8)]
else:
zkkfVju9yHqB = zkkfVju9yHqB[:, :oC1hU_0mlSje, ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 8):]
b8rpGniBNUPr = b8rpGniBNUPr[:, :oC1hU_0mlSje]
else:
def WV64Y4kADLvt(WVxHKyX45z_L, PtA8Cp4Y20rP, EWYFyoy18Oir, zkkfVju9yHqB, j1lPDdxcDbRB, OIT2r1yVMrzD):
(wF9nmvjsKjYM, j1lPDdxcDbRB) = P8dwKNPITUWX(EWYFyoy18Oir, WVxHKyX45z_L, j1lPDdxcDbRB)
yPp0Syg5g6oO = jSKPaHwSAfVv.log_prob_from_logits(wF9nmvjsKjYM)
uICaXvjWrxGa = xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\xbe\x0f"\xb3\xf9\xf6+\xb6v65\x12'), chr(0b1100100) + '\x65' + chr(0b1010110 + 0o15) + chr(3777 - 3666) + chr(0b1100100) + chr(7806 - 7705))(chr(117) + chr(0b1010101 + 0o37) + chr(0b1100110) + chr(378 - 333) + '\x38'), 0.0)
MlV3EFkJzkFe = xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\xbe\x0f"\xb3\xf9\xf6+\xb6i6=\x12\xa1Fp \x05\xa3'), chr(100) + chr(0b1010100 + 0o21) + chr(0b11111 + 0o104) + chr(0b1101111) + chr(8763 - 8663) + chr(101))(chr(0b1110101) + '\x74' + chr(102) + chr(0b101101) + chr(0b111000)), -ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061', 8))
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xbbS\x1b\xb1\xc1\xaf$\x88r<('), chr(0b1100100) + '\x65' + chr(99) + chr(111) + chr(100) + chr(101))(chr(0b1110101) + '\x74' + chr(0b0 + 0o146) + chr(45) + chr(0b100100 + 0o24))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\xad\x05?\xbe\xe8'), chr(9160 - 9060) + chr(2948 - 2847) + chr(0b1100011) + '\x6f' + chr(0b11 + 0o141) + chr(0b1100101))(chr(117) + chr(0b1100011 + 0o21) + chr(0b1000111 + 0o37) + chr(0b10001 + 0o34) + chr(0b1111 + 0o51)):
uICaXvjWrxGa = 0.0
EWYFyoy18Oir = jSKPaHwSAfVv.sample_with_temperature(wF9nmvjsKjYM, uICaXvjWrxGa, MlV3EFkJzkFe)
PtA8Cp4Y20rP |= IDJ2eXGCBCDu.equal(EWYFyoy18Oir, fRohXOUUw5Jd)
gpuiYRYOzXHF = IDJ2eXGCBCDu.stack([IDJ2eXGCBCDu.range(IDJ2eXGCBCDu.to_int64(ix9dZyeAmUxY)), EWYFyoy18Oir], axis=ehT0Px3KOsy9(chr(2160 - 2112) + chr(0b1101111) + '\061', 8))
OIT2r1yVMrzD += IDJ2eXGCBCDu.gather_nd(yPp0Syg5g6oO, gpuiYRYOzXHF)
EWYFyoy18Oir = IDJ2eXGCBCDu.expand_dims(EWYFyoy18Oir, axis=ehT0Px3KOsy9(chr(511 - 463) + chr(4410 - 4299) + '\061', 8))
zkkfVju9yHqB = IDJ2eXGCBCDu.concat([zkkfVju9yHqB, EWYFyoy18Oir], axis=ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001 + 0o0), 8))
return (WVxHKyX45z_L + ehT0Px3KOsy9(chr(1987 - 1939) + '\x6f' + chr(0b10111 + 0o32), 8), PtA8Cp4Y20rP, EWYFyoy18Oir, zkkfVju9yHqB, j1lPDdxcDbRB, OIT2r1yVMrzD)
def DRy7I1Hu3RKr(WVxHKyX45z_L, PtA8Cp4Y20rP, *VNGQdHSFPrso):
NTRJeiwBLUyk = WVxHKyX45z_L >= U6Ej34SVvx1Y
if not JK02OqBH_ERy:
NTRJeiwBLUyk |= IDJ2eXGCBCDu.reduce_all(PtA8Cp4Y20rP)
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd0\xb0\x05;\xbc\xf1\xf4\x13\x87m'"), '\x64' + '\x65' + '\x63' + chr(111) + '\144' + chr(0b1100101))(chr(13347 - 13230) + '\x74' + chr(0b1010010 + 0o24) + '\x2d' + chr(56)))(NTRJeiwBLUyk)
zkkfVju9yHqB = IDJ2eXGCBCDu.zeros([ix9dZyeAmUxY, ehT0Px3KOsy9('\060' + chr(3675 - 3564) + chr(0b100110 + 0o12), 8)], dtype=IDJ2eXGCBCDu.int64)
PtA8Cp4Y20rP = IDJ2eXGCBCDu.fill([ix9dZyeAmUxY], ehT0Px3KOsy9('\060' + '\157' + chr(664 - 616), 8))
EWYFyoy18Oir = mVZHeQgAqTdn * IDJ2eXGCBCDu.ones([ix9dZyeAmUxY, ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001), 8)], dtype=IDJ2eXGCBCDu.int64)
W2yw9ToknE5I = IDJ2eXGCBCDu.zeros([ix9dZyeAmUxY], dtype=IDJ2eXGCBCDu.float32)
(VNGQdHSFPrso, VNGQdHSFPrso, VNGQdHSFPrso, zkkfVju9yHqB, j1lPDdxcDbRB, OIT2r1yVMrzD) = IDJ2eXGCBCDu.while_loop(DRy7I1Hu3RKr, WV64Y4kADLvt, [IDJ2eXGCBCDu.constant(ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\060', 8)), PtA8Cp4Y20rP, EWYFyoy18Oir, zkkfVju9yHqB, j1lPDdxcDbRB, W2yw9ToknE5I], shape_invariants=[IDJ2eXGCBCDu.TensorShape([]), IDJ2eXGCBCDu.TensorShape([None]), IDJ2eXGCBCDu.TensorShape([None, None]), IDJ2eXGCBCDu.TensorShape([None, None]), mnU87WrcOgNU.map_structure(M4QqcqvVKFSA.get_state_shape_invariants, j1lPDdxcDbRB), IDJ2eXGCBCDu.TensorShape([None])])
b8rpGniBNUPr = OIT2r1yVMrzD
return {xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xaa\x16"\xaa\xe4\xeb'), chr(0b100111 + 0o75) + chr(101) + chr(0b1 + 0o142) + chr(111) + chr(0b101010 + 0o72) + chr(0b1010101 + 0o20))('\165' + chr(0b1110100) + '\x66' + chr(0b101101) + '\x38'): zkkfVju9yHqB, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\xbc\r \xba\xe3'), '\144' + chr(0b100101 + 0o100) + chr(5930 - 5831) + chr(9834 - 9723) + chr(7473 - 7373) + chr(101))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b110101 + 0o3)): b8rpGniBNUPr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\xbe\x01:\xba'), chr(100) + '\x65' + chr(99) + chr(3190 - 3079) + chr(0b1100100) + chr(3860 - 3759))(chr(4032 - 3915) + '\x74' + chr(0b1100110) + chr(45) + chr(0b100010 + 0o26)): j1lPDdxcDbRB}
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_prepare_decoder
|
def transformer_prepare_decoder(targets, hparams, features=None):
"""Prepare one shard of the model for the decoder.
Args:
targets: a Tensor.
hparams: run hyperparameters
features: optionally pass the entire features dictionary as well. This is
needed now for "packed" datasets.
Returns:
decoder_input: a Tensor, bottom of decoder stack
decoder_self_attention_bias: a bias tensor for use in decoder self-attention
"""
if hparams.causal_decoder_self_attention:
# Causal attention.
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]))
else:
# Full attention.
decoder_padding = common_attention.embedding_to_padding(targets)
decoder_self_attention_bias = (
common_attention.attention_bias_ignore_padding(decoder_padding))
if features and "targets_segmentation" in features:
# "Packed" dataset - keep the examples from seeing each other.
targets_segmentation = features["targets_segmentation"]
targets_position = features["targets_position"]
decoder_self_attention_bias += common_attention.attention_bias_same_segment(
targets_segmentation, targets_segmentation)
else:
targets_position = None
if hparams.proximity_bias:
decoder_self_attention_bias += common_attention.attention_bias_proximal(
common_layers.shape_list(targets)[1])
decoder_input = common_layers.shift_right_3d(targets)
if hparams.pos == "timing":
if targets_position is not None:
decoder_input = common_attention.add_timing_signal_1d_given_position(
decoder_input, targets_position)
else:
decoder_input = common_attention.add_timing_signal_1d(decoder_input)
elif hparams.pos == "emb":
decoder_input = common_attention.add_positional_embedding(
decoder_input, hparams.max_length, "targets_positional_embedding",
targets_position)
if hparams.activation_dtype == "bfloat16":
decoder_self_attention_bias = tf.cast(decoder_self_attention_bias,
tf.bfloat16)
return (decoder_input, decoder_self_attention_bias)
|
python
|
def transformer_prepare_decoder(targets, hparams, features=None):
"""Prepare one shard of the model for the decoder.
Args:
targets: a Tensor.
hparams: run hyperparameters
features: optionally pass the entire features dictionary as well. This is
needed now for "packed" datasets.
Returns:
decoder_input: a Tensor, bottom of decoder stack
decoder_self_attention_bias: a bias tensor for use in decoder self-attention
"""
if hparams.causal_decoder_self_attention:
# Causal attention.
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]))
else:
# Full attention.
decoder_padding = common_attention.embedding_to_padding(targets)
decoder_self_attention_bias = (
common_attention.attention_bias_ignore_padding(decoder_padding))
if features and "targets_segmentation" in features:
# "Packed" dataset - keep the examples from seeing each other.
targets_segmentation = features["targets_segmentation"]
targets_position = features["targets_position"]
decoder_self_attention_bias += common_attention.attention_bias_same_segment(
targets_segmentation, targets_segmentation)
else:
targets_position = None
if hparams.proximity_bias:
decoder_self_attention_bias += common_attention.attention_bias_proximal(
common_layers.shape_list(targets)[1])
decoder_input = common_layers.shift_right_3d(targets)
if hparams.pos == "timing":
if targets_position is not None:
decoder_input = common_attention.add_timing_signal_1d_given_position(
decoder_input, targets_position)
else:
decoder_input = common_attention.add_timing_signal_1d(decoder_input)
elif hparams.pos == "emb":
decoder_input = common_attention.add_positional_embedding(
decoder_input, hparams.max_length, "targets_positional_embedding",
targets_position)
if hparams.activation_dtype == "bfloat16":
decoder_self_attention_bias = tf.cast(decoder_self_attention_bias,
tf.bfloat16)
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
features: optionally pass the entire features dictionary as well. This is
needed now for "packed" datasets.
Returns:
decoder_input: a Tensor, bottom of decoder stack
decoder_self_attention_bias: a bias tensor for use in decoder self-attention
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1281-L1336
|
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('\x30' + '\157' + chr(735 - 686) + chr(52) + chr(0b1010 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(55) + chr(0b101110 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(492 - 381) + '\x30', 13502 - 13494), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\061' + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b11010 + 0o26) + '\067', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b11 + 0o57) + '\063' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10001 + 0o43) + '\066', 29925 - 29917), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100010 + 0o20) + chr(631 - 583) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11 + 0o56) + chr(726 - 678) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(1300 - 1189) + '\x32' + chr(1663 - 1611) + chr(1260 - 1211), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11948 - 11837) + chr(0b100 + 0o55) + chr(0b101000 + 0o17) + chr(0b110010), 18180 - 18172), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + chr(0b10 + 0o61) + chr(53) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110011) + chr(0b110001), 36111 - 36103), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\x35' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(12206 - 12095) + '\x32' + chr(0b110100) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(784 - 735) + chr(0b110110) + '\063', 37472 - 37464), ehT0Px3KOsy9(chr(0b110000) + chr(9282 - 9171) + chr(0b110011) + chr(0b110001) + chr(0b1100 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1000 + 0o147) + chr(604 - 554) + '\x33' + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(223 - 173) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1555 - 1505) + chr(0b110010) + chr(2966 - 2911), 0b1000), ehT0Px3KOsy9(chr(1774 - 1726) + chr(0b1000111 + 0o50) + chr(650 - 599) + '\x35' + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b0 + 0o63) + '\060' + '\x35', 21479 - 21471), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b110100) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\066' + chr(1499 - 1451), 0o10), ehT0Px3KOsy9('\060' + chr(9841 - 9730) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + '\065' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\064' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\066' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(245 - 192) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b10111 + 0o35) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110100) + chr(0b110100), 17962 - 17954), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(4419 - 4308) + chr(0b101 + 0o54) + chr(55) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7848 - 7737) + chr(1502 - 1452) + '\x32' + chr(1495 - 1442), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(0b110110) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(1690 - 1641) + '\063' + chr(1247 - 1193), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(585 - 534) + chr(0b110111) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + chr(0b110 + 0o55) + chr(55) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\063' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1100 + 0o45) + chr(1596 - 1545) + '\065', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(1139 - 1086) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'K'), chr(0b1100001 + 0o3) + chr(0b100010 + 0o103) + chr(0b100001 + 0o102) + '\x6f' + chr(0b1100100) + chr(4507 - 4406))(chr(117) + chr(5176 - 5060) + '\x66' + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def hLNBrhOp7CrI(xIEmRseySp3z, n4ljua2gi1Pr, EEf4r9nUvta_=None):
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x06]u\xfa\xe6\xf5y\xe4%\xc2\x15\x8a\xbc\x98\xfa\x00\xae\xf3v\xc8\x8b\xb1\x90\x15hvF\x8d\xda'), '\144' + '\x65' + chr(0b1010000 + 0o23) + chr(0b101100 + 0o103) + chr(100) + chr(0b100110 + 0o77))(chr(7825 - 7708) + '\164' + '\x66' + '\x2d' + chr(1458 - 1402))):
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14N_\xbe\xeb\xf8l\xe92\xe0\x14\xdc'), chr(100) + chr(0b1000000 + 0o45) + chr(3951 - 3852) + '\157' + chr(2986 - 2886) + '\x65')(chr(0b11000 + 0o135) + chr(0b100000 + 0o124) + chr(0b11010 + 0o114) + chr(766 - 721) + chr(1681 - 1625))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x15Ne\xf9\xe2\xf7B\xdf)\xcf\n\x9b\xad\x99\xfa\x15\xbe\xf3|\xc8\x8b\xb1\x90\x15hvF\x8d\xda'), chr(0b1100100) + '\x65' + chr(0b1010101 + 0o16) + chr(9586 - 9475) + chr(2360 - 2260) + chr(101))(chr(117) + chr(0b1110100) + chr(0b1010000 + 0o26) + chr(0b101101) + chr(0b1101 + 0o53)):
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(chr(0b110000) + '\x6f' + chr(1021 - 972), ord("\x08"))])
else:
gCXVVbylGiXj = WOnrfm4dlYcf.embedding_to_padding(xIEmRseySp3z)
Z0c2rFCFDCFc = WOnrfm4dlYcf.attention_bias_ignore_padding(gCXVVbylGiXj)
if EEf4r9nUvta_ and xafqLlk3kkUe(SXOLrMavuUCe(b'\x11]r\xee\xe2\xedU\xdf3\xc4\x1d\x83\xbc\x84\xd1\x12\xbf\xf6\x7f\xf9'), '\x64' + '\x65' + '\x63' + chr(111) + chr(0b1011110 + 0o6) + '\x65')(chr(0b1011 + 0o152) + '\x74' + chr(0b101101 + 0o71) + chr(0b101101) + '\070') in EEf4r9nUvta_:
nByn7rrVtVeX = EEf4r9nUvta_[xafqLlk3kkUe(SXOLrMavuUCe(b'\x11]r\xee\xe2\xedU\xdf3\xc4\x1d\x83\xbc\x84\xd1\x12\xbf\xf6\x7f\xf9'), chr(0b1100100) + '\145' + chr(0b1010000 + 0o23) + chr(10788 - 10677) + chr(0b10000 + 0o124) + chr(0b111101 + 0o50))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\x2d' + '\x38')]
F94a3RcuukZW = EEf4r9nUvta_[xafqLlk3kkUe(SXOLrMavuUCe(b'\x11]r\xee\xe2\xedU\xdf0\xce\t\x87\xad\x83\xca\x1d'), chr(0b110110 + 0o56) + chr(0b100010 + 0o103) + chr(99) + '\157' + chr(100) + chr(898 - 797))(chr(0b1010001 + 0o44) + '\x74' + '\x66' + chr(0b101101) + chr(0b111000))]
Z0c2rFCFDCFc += WOnrfm4dlYcf.attention_bias_same_segment(nByn7rrVtVeX, nByn7rrVtVeX)
else:
F94a3RcuukZW = None
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x15No\xf1\xee\xf4O\xf49\xfe\x18\x87\xb8\x99'), '\144' + chr(0b1100101) + chr(0b1000001 + 0o42) + chr(8723 - 8612) + '\144' + '\145')('\x75' + chr(1141 - 1025) + chr(102) + chr(45) + chr(56))):
Z0c2rFCFDCFc += WOnrfm4dlYcf.attention_bias_proximal(jSKPaHwSAfVv.shape_list(xIEmRseySp3z)[ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + chr(0b1001 + 0o50), 8)])
t5Jz9byuSQ65 = jSKPaHwSAfVv.shift_right_3d(xIEmRseySp3z)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'+dd\xb9\xe6\xe8\x7f\xca$\x95\x16\xa5'), '\144' + chr(0b1100101) + chr(0b101110 + 0o65) + '\x6f' + chr(9296 - 9196) + '\145')(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(45) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x11Um\xe0\xe9\xfe'), chr(7911 - 7811) + chr(0b101011 + 0o72) + chr(6197 - 6098) + chr(0b1101111) + chr(100) + chr(0b1100101))('\165' + chr(5194 - 5078) + chr(2946 - 2844) + chr(1122 - 1077) + '\x38'):
if F94a3RcuukZW is not None:
t5Jz9byuSQ65 = WOnrfm4dlYcf.add_timing_signal_1d_given_position(t5Jz9byuSQ65, F94a3RcuukZW)
else:
t5Jz9byuSQ65 = WOnrfm4dlYcf.add_timing_signal_1d(t5Jz9byuSQ65)
elif xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'+dd\xb9\xe6\xe8\x7f\xca$\x95\x16\xa5'), chr(100) + '\145' + chr(99) + chr(5821 - 5710) + chr(100) + chr(0b1011101 + 0o10))('\165' + chr(116) + chr(102) + chr(0b100011 + 0o12) + chr(1206 - 1150))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x00Qb'), chr(0b1100100) + '\145' + '\143' + chr(0b101100 + 0o103) + chr(6281 - 6181) + chr(0b1100101))(chr(2727 - 2610) + chr(12226 - 12110) + chr(6934 - 6832) + chr(0b101101) + chr(1817 - 1761)):
t5Jz9byuSQ65 = WOnrfm4dlYcf.add_positional_embedding(t5Jz9byuSQ65, n4ljua2gi1Pr._o7pVXAdOCRy, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11]r\xee\xe2\xedU\xdf0\xce\t\x87\xad\x83\xca\x1d\xaa\xf3O\xf2\x87\xa7\x81\x14bkA\x85'), chr(5501 - 5401) + '\145' + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')('\165' + '\x74' + '\146' + '\055' + chr(56)), F94a3RcuukZW)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\nZ\xca\xe0\xd3\x11\xc1\x0b\xc5I\xbb'), chr(0b1100100) + '\x65' + chr(99) + '\x6f' + '\x64' + chr(101))(chr(0b1110101) + '\164' + chr(3188 - 3086) + chr(1981 - 1936) + chr(1863 - 1807))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x07Zl\xe6\xe6\xed\x17\xb6'), chr(100) + chr(0b1001100 + 0o31) + chr(99) + chr(0b1011 + 0o144) + chr(100) + chr(101))(chr(0b1110101) + chr(0b10001 + 0o143) + '\x66' + chr(45) + '\x38'):
Z0c2rFCFDCFc = IDJ2eXGCBCDu.cast(Z0c2rFCFDCFc, IDJ2eXGCBCDu.bfloat16)
return (t5Jz9byuSQ65, Z0c2rFCFDCFc)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_decoder
|
def transformer_decoder(decoder_input,
encoder_output,
decoder_self_attention_bias,
encoder_decoder_attention_bias,
hparams,
cache=None,
decode_loop_step=None,
name="decoder",
nonpadding=None,
save_weights_to=None,
make_image_summary=True,
losses=None,
layer_collection=None,
recurrent_memory_by_layer=None,
chunk_number=None,
):
"""A stack of transformer layers.
Args:
decoder_input: a Tensor
encoder_output: a Tensor
decoder_self_attention_bias: bias Tensor for self-attention (see
common_attention.attention_bias())
encoder_decoder_attention_bias: bias Tensor for encoder-decoder attention
(see common_attention.attention_bias())
hparams: hyperparameters for model
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.
name: a string
nonpadding: optional Tensor with shape [batch_size, encoder_length]
indicating what positions are not padding. This is used to mask out
padding in convolutional layers. We generally only need this mask for
"packed" datasets, because for ordinary datasets, no padding is ever
followed by nonpadding.
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
layer_collection: A tensorflow_kfac.LayerCollection. Only used by the
KFAC optimizer. Default is None.
recurrent_memory_by_layer: Optional dict, mapping layer names to instances
of transformer_memory.RecurrentMemory. Default is None.
chunk_number: an optional integer Tensor with shape [batch] used to operate
the recurrent_memory.
Returns:
y: a Tensors
"""
x = decoder_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_decoder_layers or hparams.num_hidden_layers,
hparams=hparams)
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_ATTENTION_DROPOUT,
value=hparams.attention_dropout,
hparams=hparams)
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
},
hparams=hparams)
with tf.variable_scope(name):
for layer in range(hparams.num_decoder_layers or hparams.num_hidden_layers):
layer_name = "layer_%d" % layer
layer_cache = cache[layer_name] if cache is not None else None
if recurrent_memory_by_layer is not None:
recurrent_memory = recurrent_memory_by_layer[layer_name]
else:
recurrent_memory = None
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("max_area_height", 1)
else:
max_area_width = 1
max_area_height = 1
memory_height = 1
with tf.variable_scope(layer_name):
with tf.variable_scope("self_attention"):
y = common_attention.multihead_attention(
common_layers.layer_preprocess(
x, hparams, layer_collection=layer_collection),
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,
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,
cache=layer_cache,
make_image_summary=make_image_summary,
dropout_broadcast_dims=attention_dropout_broadcast_dims,
max_length=hparams.get("max_length"),
decode_loop_step=decode_loop_step,
vars_3d=hparams.get("attention_variables_3d"),
activation_dtype=hparams.get("activation_dtype", "float32"),
weight_dtype=hparams.get("weight_dtype", "float32"),
layer_collection=layer_collection,
recurrent_memory=recurrent_memory,
chunk_number=chunk_number,
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)
if encoder_output is not None:
with tf.variable_scope("encdec_attention"):
y = common_attention.multihead_attention(
common_layers.layer_preprocess(
x, hparams, layer_collection=layer_collection),
encoder_output,
encoder_decoder_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,
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,
cache=layer_cache,
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"),
layer_collection=layer_collection,
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, layer_collection=layer_collection),
hparams,
conv_padding="LEFT",
nonpadding_mask=nonpadding,
losses=losses,
cache=layer_cache,
decode_loop_step=decode_loop_step,
layer_collection=layer_collection)
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, layer_collection=layer_collection)
|
python
|
def transformer_decoder(decoder_input,
encoder_output,
decoder_self_attention_bias,
encoder_decoder_attention_bias,
hparams,
cache=None,
decode_loop_step=None,
name="decoder",
nonpadding=None,
save_weights_to=None,
make_image_summary=True,
losses=None,
layer_collection=None,
recurrent_memory_by_layer=None,
chunk_number=None,
):
"""A stack of transformer layers.
Args:
decoder_input: a Tensor
encoder_output: a Tensor
decoder_self_attention_bias: bias Tensor for self-attention (see
common_attention.attention_bias())
encoder_decoder_attention_bias: bias Tensor for encoder-decoder attention
(see common_attention.attention_bias())
hparams: hyperparameters for model
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.
name: a string
nonpadding: optional Tensor with shape [batch_size, encoder_length]
indicating what positions are not padding. This is used to mask out
padding in convolutional layers. We generally only need this mask for
"packed" datasets, because for ordinary datasets, no padding is ever
followed by nonpadding.
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
layer_collection: A tensorflow_kfac.LayerCollection. Only used by the
KFAC optimizer. Default is None.
recurrent_memory_by_layer: Optional dict, mapping layer names to instances
of transformer_memory.RecurrentMemory. Default is None.
chunk_number: an optional integer Tensor with shape [batch] used to operate
the recurrent_memory.
Returns:
y: a Tensors
"""
x = decoder_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_decoder_layers or hparams.num_hidden_layers,
hparams=hparams)
mlperf_log.transformer_print(
key=mlperf_log.MODEL_HP_ATTENTION_DROPOUT,
value=hparams.attention_dropout,
hparams=hparams)
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
},
hparams=hparams)
with tf.variable_scope(name):
for layer in range(hparams.num_decoder_layers or hparams.num_hidden_layers):
layer_name = "layer_%d" % layer
layer_cache = cache[layer_name] if cache is not None else None
if recurrent_memory_by_layer is not None:
recurrent_memory = recurrent_memory_by_layer[layer_name]
else:
recurrent_memory = None
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("max_area_height", 1)
else:
max_area_width = 1
max_area_height = 1
memory_height = 1
with tf.variable_scope(layer_name):
with tf.variable_scope("self_attention"):
y = common_attention.multihead_attention(
common_layers.layer_preprocess(
x, hparams, layer_collection=layer_collection),
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,
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,
cache=layer_cache,
make_image_summary=make_image_summary,
dropout_broadcast_dims=attention_dropout_broadcast_dims,
max_length=hparams.get("max_length"),
decode_loop_step=decode_loop_step,
vars_3d=hparams.get("attention_variables_3d"),
activation_dtype=hparams.get("activation_dtype", "float32"),
weight_dtype=hparams.get("weight_dtype", "float32"),
layer_collection=layer_collection,
recurrent_memory=recurrent_memory,
chunk_number=chunk_number,
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)
if encoder_output is not None:
with tf.variable_scope("encdec_attention"):
y = common_attention.multihead_attention(
common_layers.layer_preprocess(
x, hparams, layer_collection=layer_collection),
encoder_output,
encoder_decoder_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,
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,
cache=layer_cache,
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"),
layer_collection=layer_collection,
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, layer_collection=layer_collection),
hparams,
conv_padding="LEFT",
nonpadding_mask=nonpadding,
losses=losses,
cache=layer_cache,
decode_loop_step=decode_loop_step,
layer_collection=layer_collection)
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, layer_collection=layer_collection)
|
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"# a whole stack of unnormalized layer outputs.",
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] |
A stack of transformer layers.
Args:
decoder_input: a Tensor
encoder_output: a Tensor
decoder_self_attention_bias: bias Tensor for self-attention (see
common_attention.attention_bias())
encoder_decoder_attention_bias: bias Tensor for encoder-decoder attention
(see common_attention.attention_bias())
hparams: hyperparameters for model
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.
name: a string
nonpadding: optional Tensor with shape [batch_size, encoder_length]
indicating what positions are not padding. This is used to mask out
padding in convolutional layers. We generally only need this mask for
"packed" datasets, because for ordinary datasets, no padding is ever
followed by nonpadding.
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
layer_collection: A tensorflow_kfac.LayerCollection. Only used by the
KFAC optimizer. Default is None.
recurrent_memory_by_layer: Optional dict, mapping layer names to instances
of transformer_memory.RecurrentMemory. Default is None.
chunk_number: an optional integer Tensor with shape [batch] used to operate
the recurrent_memory.
Returns:
y: a Tensors
|
[
"A",
"stack",
"of",
"transformer",
"layers",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1339-L1520
|
train
|
A function to create a stack of transformer layers.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b110011) + chr(800 - 752), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110100) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11816 - 11705) + '\063' + '\x31' + '\064', 0o10), ehT0Px3KOsy9(chr(1818 - 1770) + chr(2674 - 2563) + chr(0b1100 + 0o45) + '\063' + '\060', 0b1000), ehT0Px3KOsy9(chr(1418 - 1370) + '\x6f' + chr(1161 - 1111) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(0b100000 + 0o23) + chr(0b110101) + chr(624 - 569), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(48) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1729 - 1618) + chr(49) + chr(55) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(49) + chr(48), 18535 - 18527), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b110000) + chr(87 - 39), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11100 + 0o26) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(0b101110 + 0o10) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(770 - 720) + chr(0b110100) + chr(55), 57517 - 57509), ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + chr(441 - 391) + chr(0b110010) + chr(1368 - 1315), ord("\x08")), ehT0Px3KOsy9(chr(1792 - 1744) + chr(0b1010000 + 0o37) + chr(534 - 485) + chr(0b110010) + '\061', 33916 - 33908), ehT0Px3KOsy9('\x30' + '\x6f' + chr(272 - 222) + chr(50) + chr(1533 - 1484), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101 + 0o56) + chr(2640 - 2586) + '\063', 10439 - 10431), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(986 - 931) + chr(0b10110 + 0o32), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(530 - 476) + chr(0b110000), 4466 - 4458), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b110110) + chr(0b110110), 13750 - 13742), ehT0Px3KOsy9('\x30' + chr(0b1101011 + 0o4) + chr(51) + chr(53) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(2069 - 2021) + chr(888 - 777) + chr(0b11110 + 0o23) + '\066' + chr(0b101111 + 0o3), 13018 - 13010), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\x34' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1111 + 0o140) + '\x32' + chr(51) + chr(0b100011 + 0o21), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101110 + 0o1) + chr(51) + '\x35' + chr(0b100001 + 0o22), 17297 - 17289), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\x31' + '\061', 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1100 + 0o143) + chr(1714 - 1664) + chr(50) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(289 - 235), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(49) + '\x37' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(1363 - 1315) + chr(1725 - 1677), 8), ehT0Px3KOsy9(chr(399 - 351) + '\x6f' + chr(51) + '\x37' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1502 - 1453) + '\060' + chr(0b100110 + 0o14), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(0b110011) + chr(0b11110 + 0o31) + chr(0b1100 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b110010) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(1098 - 987) + chr(49) + '\x33' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(277 - 229) + chr(111) + chr(214 - 164) + chr(0b100001 + 0o24) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b1 + 0o60), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x30' + '\x36', 28350 - 28342), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110101 + 0o0) + chr(0b110111), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1549 - 1496) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6'), '\x64' + chr(0b1100101) + '\143' + chr(0b1011101 + 0o22) + chr(9602 - 9502) + chr(101))(chr(117) + '\x74' + '\x66' + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Xz2ujnps9EA9(t5Jz9byuSQ65, NE_S2zAzN4PI, Z0c2rFCFDCFc, iuvkQfeRHfn5, n4ljua2gi1Pr, j1lPDdxcDbRB=None, Et0FYCPsowFY=None, AIvJRzLdDfgF=xafqLlk3kkUe(SXOLrMavuUCe(b'\xfcA\xaf7r\x8a\xb6'), '\x64' + chr(101) + chr(0b1001000 + 0o33) + chr(0b1000101 + 0o52) + chr(100) + chr(8696 - 8595))(chr(0b1010100 + 0o41) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(56)), qpPhEurkAWxO=None, zWaF_2VBEDjk=None, NC2xHNLwzxcH=ehT0Px3KOsy9(chr(1409 - 1361) + '\x6f' + chr(0b110001), 0o10), eJKWkHA7qzlZ=None, QhNZfIyyHZe2=None, O6liYgJuETii=None, LMili3KdlhnG=None):
OeWW0F1dBPRQ = t5Jz9byuSQ65
UNqT6jwzCz6Y = jSKPaHwSAfVv.comma_separated_string_to_integer_list(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9P\xb8=x\x9b\xad\x14\xe6\x9fqAu\xd7\xfa$\xe5\xacZ\x02\x99\x8f\x16\x82\xfd\x98\xfd\xc8b\x17\xad\x8e'), '\144' + '\145' + chr(0b11001 + 0o112) + chr(0b10101 + 0o132) + '\x64' + chr(0b1010110 + 0o17))('\x75' + chr(0b11011 + 0o131) + chr(8691 - 8589) + chr(45) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(6868 - 6768) + chr(0b11001 + 0o114) + chr(0b10000 + 0o123) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1110011 + 0o2) + chr(0b11000 + 0o134) + chr(6712 - 6610) + '\x2d' + '\070')))
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xecV\xad6e\x89\xab\t\xe5\xa5glj\xd5\xfc?\xe5'), chr(0b101111 + 0o65) + '\145' + chr(435 - 336) + chr(0b111000 + 0o67) + chr(1183 - 1083) + chr(101))('\x75' + chr(0b1010100 + 0o40) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5k\x88\x1dZ\xb0\x8c+\xd7\x8e@~E\xef\xdc\x15\xd5\xb6v/\xba\xaf+\xa4\xce\xb8'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b10001 + 0o136) + chr(0b1100100) + chr(0b1100101))(chr(6231 - 6114) + chr(0b1011100 + 0o30) + '\146' + chr(45) + chr(0b111000))), value=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8v\xa5nO\xa9\x85"\xcd\xae]\x07'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(7090 - 6990) + chr(0b110010 + 0o63))(chr(9795 - 9678) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000))) or xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2~\xa4mI\x9f\x88.\xe7\x8fzi'), chr(0b1100100) + chr(0b11100 + 0o111) + chr(99) + chr(0b1001000 + 0o47) + '\x64' + chr(101))('\165' + chr(4484 - 4368) + chr(102) + '\x2d' + chr(56))), hparams=n4ljua2gi1Pr)
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xecV\xad6e\x89\xab\t\xe5\xa5glj\xd5\xfc?\xe5'), chr(0b110010 + 0o62) + chr(0b1100101) + chr(99) + '\157' + '\144' + '\x65')('\x75' + chr(0b1110100) + '\146' + chr(1664 - 1619) + chr(56)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5k\x88\x1dZ\xb0\x8c+\xd7\x81Ag_\xe9\xc1\x18\xde\xbdg4\xa4\xa1"\xae\xc9\xbf'), '\144' + chr(0b1100000 + 0o5) + chr(99) + chr(8175 - 8064) + '\144' + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b110 + 0o140) + '\x2d' + chr(56))), value=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca@\x81\nd\xdc\xb5\x10\xd1\xa9zb'), chr(1744 - 1644) + chr(0b101110 + 0o67) + '\143' + '\x6f' + chr(7465 - 7365) + '\x65')(chr(0b1001010 + 0o53) + '\x74' + '\146' + chr(0b101101) + '\070')), hparams=n4ljua2gi1Pr)
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xecV\xad6e\x89\xab\t\xe5\xa5glj\xd5\xfc?\xe5'), chr(0b1000011 + 0o41) + chr(101) + chr(3286 - 3187) + chr(111) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(2242 - 2140) + '\055' + chr(2082 - 2026)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5k\x88\x1dZ\xb0\x8c+\xd7\x81Ag_\xe9\xc1\x18\xde\xbdg4\xb3\xa0!\xa4'), chr(0b1100100) + chr(101) + chr(99) + chr(9080 - 8969) + chr(0b1011101 + 0o7) + chr(0b1010000 + 0o25))('\x75' + chr(2969 - 2853) + chr(0b111010 + 0o54) + chr(45) + chr(0b111000))), value={xafqLlk3kkUe(SXOLrMavuUCe(b'\xedW\xa9\x07t\x86\xa5\x08'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(111) + '\144' + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(10330 - 10228) + chr(0b100010 + 0o13) + chr(56)): xafqLlk3kkUe(SXOLrMavuUCe(b'\xfeE\xa0+s'), chr(9437 - 9337) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1011111 + 0o5) + chr(0b1100101))('\x75' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b100 + 0o64)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6Q\xa1\x07~\x8a\xa5\x1f\xfb'), chr(0b111110 + 0o46) + chr(0b100100 + 0o101) + '\x63' + '\157' + '\144' + chr(0b11010 + 0o113))(chr(117) + chr(116) + chr(102) + chr(0b11100 + 0o21) + chr(56)): xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeev\x9a)F\xa0\x9eJ\xe0\x95R\x04'), '\x64' + '\145' + chr(0b10111 + 0o114) + chr(3117 - 3006) + chr(0b1100100) + chr(7474 - 7373))(chr(0b1110101) + '\x74' + chr(3066 - 2964) + chr(45) + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0M\xa8<s\x81\x9b\x08\xe1\xbap'), chr(4988 - 4888) + chr(0b111001 + 0o54) + chr(2279 - 2180) + chr(0b1100011 + 0o14) + '\x64' + chr(9972 - 9871))(chr(0b1110101) + '\164' + chr(0b111110 + 0o50) + '\055' + chr(0b110001 + 0o7)): xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9^\xa3!N\xa1\xf7\x10\xec\xa8Q\x7f'), '\144' + '\145' + chr(6423 - 6324) + '\x6f' + '\x64' + chr(1477 - 1376))('\165' + chr(0b100110 + 0o116) + chr(4413 - 4311) + '\x2d' + chr(0b10100 + 0o44)))}, hparams=n4ljua2gi1Pr)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeeE\xbe1w\x8d\xa8\x1e\xd7\xb3v\\j\xc2'), '\x64' + chr(0b111 + 0o136) + '\x63' + chr(0b1101111) + '\144' + '\145')('\165' + chr(10195 - 10079) + chr(0b1100110) + chr(45) + '\x38'))(AIvJRzLdDfgF):
for wgamNHppspXj in vQr8gNKaIaWE(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8v\xa5nO\xa9\x85"\xcd\xae]\x07'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))(chr(117) + chr(4652 - 4536) + '\146' + '\055' + chr(0b110110 + 0o2))) or xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2~\xa4mI\x9f\x88.\xe7\x8fzi'), chr(0b1100100) + chr(0b111110 + 0o47) + chr(7433 - 7334) + chr(0b11001 + 0o126) + chr(0b100000 + 0o104) + chr(8409 - 8308))('\x75' + chr(0b1110100) + chr(102) + chr(45) + chr(465 - 409)))):
YzJBPucQyDh2 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4E\xb5=d\xb0\xe1\x1f'), chr(0b10011 + 0o121) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\x64' + '\x65')('\x75' + chr(0b1110100) + '\x66' + '\055' + chr(2262 - 2206)) % wgamNHppspXj
Prr68ynwv_b_ = j1lPDdxcDbRB[YzJBPucQyDh2] if j1lPDdxcDbRB is not None else None
if O6liYgJuETii is not None:
dUmmYafSv0Gx = O6liYgJuETii[YzJBPucQyDh2]
else:
dUmmYafSv0Gx = None
if wgamNHppspXj < xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xffA\xb8'), chr(0b101001 + 0o73) + chr(101) + chr(8798 - 8699) + chr(7791 - 7680) + '\x64' + chr(0b1100101))('\165' + chr(0b100111 + 0o115) + chr(0b1010101 + 0o21) + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6Q\xa1\x07w\x9d\xa1\x1a\xd7\xactJ\x7f\xd5\xe6'), chr(100) + chr(101) + '\x63' + chr(0b110101 + 0o72) + chr(100) + chr(6378 - 6277))(chr(0b1110101) + chr(8288 - 8172) + '\x66' + '\055' + chr(56)), ehT0Px3KOsy9('\060' + chr(2434 - 2323) + '\060', 0b1000)):
u6lkO_RiLl5P = n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5E\xb4\x07w\x9d\xa1\x1a\xd7\xb7|Wn\xcf'), chr(100) + chr(0b1100101) + '\x63' + '\x6f' + '\x64' + chr(0b1100101))(chr(117) + '\164' + '\146' + chr(0b1001 + 0o44) + chr(56)), ehT0Px3KOsy9(chr(1767 - 1719) + chr(0b110011 + 0o74) + chr(0b10100 + 0o35), 8))
b1gSL9RXhjFx = n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5E\xb4\x07w\x9d\xa1\x1a\xd7\xa8pZ}\xcf\xe1'), '\x64' + chr(101) + '\x63' + chr(1224 - 1113) + chr(1501 - 1401) + chr(101))('\x75' + chr(0b1110100) + chr(0b111101 + 0o51) + '\x2d' + chr(0b10100 + 0o44)), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(310 - 261), 8))
RbuxRSqxOlbf = n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5E\xb4\x07w\x9d\xa1\x1a\xd7\xa8pZ}\xcf\xe1'), chr(8007 - 7907) + chr(2764 - 2663) + chr(0b110001 + 0o62) + chr(0b1101111) + chr(100) + '\x65')(chr(12318 - 12201) + chr(0b1110100) + chr(0b111101 + 0o51) + '\055' + '\x38'), ehT0Px3KOsy9('\060' + '\157' + '\x31', 8))
else:
u6lkO_RiLl5P = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31', 8)
b1gSL9RXhjFx = ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49), 8)
RbuxRSqxOlbf = ehT0Px3KOsy9(chr(48) + chr(149 - 38) + '\061', 8)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeeE\xbe1w\x8d\xa8\x1e\xd7\xb3v\\j\xc2'), chr(0b1100100) + chr(2563 - 2462) + chr(7532 - 7433) + '\157' + chr(0b1100100) + chr(0b1100001 + 0o4))(chr(117) + chr(116) + chr(6163 - 6061) + chr(0b101 + 0o50) + chr(56)))(YzJBPucQyDh2):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeeE\xbe1w\x8d\xa8\x1e\xd7\xb3v\\j\xc2'), '\144' + chr(5344 - 5243) + chr(0b1010000 + 0o23) + '\157' + chr(100) + chr(0b1100101))(chr(117) + chr(8849 - 8733) + '\x66' + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xebA\xa0>I\x8e\xb0\x0f\xed\xaeaZu\xc9'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(101))(chr(117) + '\x74' + chr(8189 - 8087) + chr(1600 - 1555) + '\x38')):
SqiSOtYOqOJH = WOnrfm4dlYcf.multihead_attention(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr, layer_collection=QhNZfIyyHZe2), None, Z0c2rFCFDCFc, 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, cache=Prr68ynwv_b_, make_image_summary=NC2xHNLwzxcH, dropout_broadcast_dims=UNqT6jwzCz6Y, max_length=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5E\xb4\x07z\x8a\xaa\x1c\xfc\xa8'), chr(4183 - 4083) + '\145' + chr(99) + chr(111) + chr(9856 - 9756) + chr(101))(chr(8485 - 8368) + chr(11258 - 11142) + chr(4816 - 4714) + chr(1432 - 1387) + '\070')), decode_loop_step=Et0FYCPsowFY, vars_3d=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9P\xb8=x\x9b\xad\x14\xe6\x9fcRh\xce\xf43\xfd\x96K/\xc5\x8a'), chr(409 - 309) + chr(101) + chr(0b1100011) + chr(0b1011011 + 0o24) + chr(100) + chr(101))(chr(0b1110101) + '\164' + '\146' + chr(45) + '\070')), activation_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9G\xb81`\x8e\xb0\x12\xe7\xaeJWn\xde\xe54'), '\144' + '\145' + chr(8221 - 8122) + chr(0b100111 + 0o110) + chr(0b111010 + 0o52) + '\145')('\165' + '\x74' + chr(0b1100110) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfeH\xa39b\xdc\xf6'), '\144' + chr(1990 - 1889) + chr(0b110 + 0o135) + chr(0b1101111) + chr(100) + '\145')(chr(0b1110101) + '\x74' + chr(0b111011 + 0o53) + chr(45) + chr(0b111000))), weight_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xefA\xa5?~\x9b\x9b\x1f\xfc\xb9eV'), chr(100) + chr(101) + '\143' + chr(0b111000 + 0o67) + chr(100) + chr(0b1100101))('\165' + chr(223 - 107) + chr(0b1100110) + chr(1387 - 1342) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfeH\xa39b\xdc\xf6'), chr(2052 - 1952) + chr(0b11001 + 0o114) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\145')(chr(0b1110101) + chr(4980 - 4864) + '\146' + chr(0b0 + 0o55) + chr(178 - 122))), layer_collection=QhNZfIyyHZe2, recurrent_memory=dUmmYafSv0Gx, chunk_number=LMili3KdlhnG, hard_attention_k=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0E\xbe<I\x8e\xb0\x0f\xed\xaeaZu\xc9\xca:'), '\144' + chr(101) + chr(99) + chr(9415 - 9304) + chr(0b1100100) + chr(101))('\x75' + chr(664 - 548) + chr(102) + chr(0b101101) + chr(723 - 667)), ehT0Px3KOsy9(chr(0b110000) + chr(5413 - 5302) + chr(1594 - 1546), 8)), max_area_width=u6lkO_RiLl5P, max_area_height=b1gSL9RXhjFx, memory_height=RbuxRSqxOlbf, area_key_mode=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9V\xa99I\x84\xa1\x02\xd7\xadzW\x7f'), '\x64' + chr(0b110011 + 0o62) + chr(99) + '\157' + chr(100) + '\x65')('\x75' + chr(0b1010111 + 0o35) + chr(0b1100110) + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6K\xa2='), chr(100) + chr(0b110 + 0o137) + chr(99) + '\x6f' + '\x64' + chr(101))(chr(0b1101101 + 0o10) + chr(0b110011 + 0o101) + chr(3641 - 3539) + chr(0b101101) + '\070')), area_value_mode=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9V\xa99I\x99\xa5\x17\xfd\xa5J^u\xc3\xf0'), '\144' + '\x65' + chr(0b111111 + 0o44) + chr(4550 - 4439) + chr(0b1011101 + 0o7) + chr(0b1100 + 0o131))(chr(117) + chr(0b110 + 0o156) + chr(0b1100110) + chr(0b1100 + 0o41) + chr(0b11001 + 0o37)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6K\xa2='), chr(3646 - 3546) + chr(101) + '\143' + chr(0b1101111) + '\x64' + chr(0b11110 + 0o107))(chr(0b1101101 + 0o10) + chr(0b1011 + 0o151) + chr(2684 - 2582) + '\x2d' + chr(0b110000 + 0o10))), training=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5K\xa8='), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(116) + chr(0b1100110 + 0o0) + chr(942 - 897) + chr(0b110 + 0o62)), IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN) == IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN)
OeWW0F1dBPRQ = jSKPaHwSAfVv.layer_postprocess(OeWW0F1dBPRQ, SqiSOtYOqOJH, n4ljua2gi1Pr)
if NE_S2zAzN4PI is not None:
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeeE\xbe1w\x8d\xa8\x1e\xd7\xb3v\\j\xc2'), '\144' + '\145' + '\143' + chr(0b111101 + 0o62) + chr(100) + chr(0b1100101))(chr(5440 - 5323) + '\x74' + chr(0b1000000 + 0o46) + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfdJ\xaf<s\x8c\x9b\x1a\xfc\xb4p]n\xce\xfa?'), '\x64' + chr(9746 - 9645) + chr(9612 - 9513) + chr(0b1101111) + chr(0b101010 + 0o72) + chr(0b1100101))(chr(0b0 + 0o165) + chr(5374 - 5258) + chr(0b11 + 0o143) + chr(0b101101) + '\x38')):
SqiSOtYOqOJH = WOnrfm4dlYcf.multihead_attention(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr, layer_collection=QhNZfIyyHZe2), NE_S2zAzN4PI, iuvkQfeRHfn5, n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, n4ljua2gi1Pr.RdMRr3qkYioQ, 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, cache=Prr68ynwv_b_, make_image_summary=NC2xHNLwzxcH, dropout_broadcast_dims=UNqT6jwzCz6Y, max_length=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5E\xb4\x07z\x8a\xaa\x1c\xfc\xa8'), chr(100) + '\145' + chr(2974 - 2875) + chr(111) + chr(9551 - 9451) + '\x65')(chr(0b1011 + 0o152) + '\x74' + '\146' + chr(1753 - 1708) + chr(0b111000))), vars_3d=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9P\xb8=x\x9b\xad\x14\xe6\x9fcRh\xce\xf43\xfd\x96K/\xc5\x8a'), chr(100) + '\x65' + chr(0b1010001 + 0o22) + '\x6f' + '\144' + '\x65')(chr(0b100001 + 0o124) + chr(0b101101 + 0o107) + chr(868 - 766) + chr(0b100010 + 0o13) + chr(2651 - 2595))), activation_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9G\xb81`\x8e\xb0\x12\xe7\xaeJWn\xde\xe54'), chr(100) + '\145' + '\143' + chr(0b1100 + 0o143) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(662 - 617) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfeH\xa39b\xdc\xf6'), '\x64' + chr(0b1100 + 0o131) + '\x63' + chr(7331 - 7220) + '\144' + '\145')(chr(13604 - 13487) + '\164' + chr(0b1100110) + chr(721 - 676) + chr(0b111000))), weight_dtype=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xefA\xa5?~\x9b\x9b\x1f\xfc\xb9eV'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(111) + chr(5334 - 5234) + '\145')('\x75' + chr(116) + '\146' + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfeH\xa39b\xdc\xf6'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + '\x64' + chr(3311 - 3210))('\x75' + chr(6064 - 5948) + '\146' + chr(0b101101) + chr(483 - 427))), layer_collection=QhNZfIyyHZe2, hard_attention_k=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0E\xbe<I\x8e\xb0\x0f\xed\xaeaZu\xc9\xca:'), chr(7914 - 7814) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))('\165' + chr(116) + chr(0b1100110) + '\x2d' + chr(1177 - 1121)), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100 + 0o54), 8)), max_area_width=u6lkO_RiLl5P, max_area_height=b1gSL9RXhjFx, memory_height=RbuxRSqxOlbf, area_key_mode=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9V\xa99I\x84\xa1\x02\xd7\xadzW\x7f'), chr(0b111110 + 0o46) + chr(101) + chr(0b110110 + 0o55) + chr(0b1111 + 0o140) + '\x64' + chr(0b1100101))(chr(418 - 301) + chr(0b11001 + 0o133) + chr(621 - 519) + chr(0b101101) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6K\xa2='), chr(6959 - 6859) + chr(0b111110 + 0o47) + chr(99) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\x74' + chr(4256 - 4154) + '\x2d' + '\070')), area_value_mode=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9V\xa99I\x99\xa5\x17\xfd\xa5J^u\xc3\xf0'), '\144' + '\x65' + '\x63' + '\x6f' + chr(0b1100100) + '\145')(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6K\xa2='), chr(0b1100100) + chr(101) + chr(99) + '\x6f' + chr(100) + chr(0b1100101))('\165' + '\164' + chr(0b111101 + 0o51) + chr(0b101001 + 0o4) + '\070')), training=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5K\xa8='), chr(100) + chr(0b1010000 + 0o25) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1101111 + 0o5) + chr(5088 - 4986) + chr(432 - 387) + '\070'), IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN) == IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN)
OeWW0F1dBPRQ = jSKPaHwSAfVv.layer_postprocess(OeWW0F1dBPRQ, SqiSOtYOqOJH, n4ljua2gi1Pr)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeeE\xbe1w\x8d\xa8\x1e\xd7\xb3v\\j\xc2'), chr(0b1100001 + 0o3) + '\145' + chr(8183 - 8084) + '\157' + chr(8772 - 8672) + chr(101))(chr(11384 - 11267) + chr(0b1110100) + chr(0b100100 + 0o102) + chr(0b101001 + 0o4) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfeB\xa2'), chr(0b110001 + 0o63) + chr(0b1100101) + '\x63' + chr(634 - 523) + chr(0b100110 + 0o76) + chr(8196 - 8095))(chr(6188 - 6071) + chr(116) + chr(102) + chr(0b101101) + chr(56))):
SqiSOtYOqOJH = NOt3oaGYhToM(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr, layer_collection=QhNZfIyyHZe2), n4ljua2gi1Pr, conv_padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4a\x8a\x0c'), chr(8406 - 8306) + chr(8141 - 8040) + '\143' + chr(111) + chr(100) + '\x65')('\165' + chr(0b1110100) + chr(0b1100110) + chr(997 - 952) + '\x38'), nonpadding_mask=qpPhEurkAWxO, losses=eJKWkHA7qzlZ, cache=Prr68ynwv_b_, decode_loop_step=Et0FYCPsowFY, layer_collection=QhNZfIyyHZe2)
OeWW0F1dBPRQ = jSKPaHwSAfVv.layer_postprocess(OeWW0F1dBPRQ, SqiSOtYOqOJH, n4ljua2gi1Pr)
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xecV\xad6e\x89\xab\t\xe5\xa5glj\xd5\xfc?\xe5'), chr(6380 - 6280) + '\145' + chr(7133 - 7034) + chr(111) + chr(100) + '\145')(chr(6919 - 6802) + '\164' + '\146' + '\x2d' + '\x38'))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5k\x88\x1dZ\xb0\x8c+\xd7\x8eZaW'), chr(1312 - 1212) + '\x65' + '\143' + chr(4652 - 4541) + '\x64' + chr(7452 - 7351))('\165' + '\164' + chr(0b1100110) + chr(0b100100 + 0o11) + chr(56))), value={xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0M\xa8<s\x81\x9b\x08\xe1\xbap'), '\x64' + chr(4311 - 4210) + chr(0b110110 + 0o55) + '\157' + chr(100) + chr(101))(chr(117) + chr(8496 - 8380) + chr(102) + chr(0b101101) + '\x38'): xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9^\xa3!N\xa1\xf7\x10\xec\xa8Q\x7f'), chr(1869 - 1769) + chr(101) + chr(8057 - 7958) + chr(0b1101111) + '\144' + '\x65')('\x75' + chr(0b1000110 + 0o56) + chr(0b1100110) + '\x2d' + chr(0b101011 + 0o15)))})
return xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4E\xb5=d\xb0\xb4\t\xed\xb0g\\y\xc2\xe6"'), '\144' + chr(101) + chr(99) + chr(0b1101111) + '\x64' + chr(0b10100 + 0o121))(chr(12055 - 11938) + chr(0b111100 + 0o70) + chr(0b1100110) + chr(45) + '\070'))(OeWW0F1dBPRQ, n4ljua2gi1Pr, layer_collection=QhNZfIyyHZe2)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_base_v1
|
def transformer_base_v1():
"""Set of hyperparameters."""
hparams = common_hparams.basic_params1()
hparams.norm_type = "layer"
hparams.hidden_size = 512
hparams.batch_size = 4096
hparams.max_length = 256
hparams.clip_grad_norm = 0. # i.e. no gradient clipping
hparams.optimizer_adam_epsilon = 1e-9
hparams.learning_rate_schedule = "legacy"
hparams.learning_rate_decay_scheme = "noam"
hparams.learning_rate = 0.1
hparams.learning_rate_warmup_steps = 4000
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.num_sampled_classes = 0
hparams.label_smoothing = 0.1
hparams.shared_embedding_and_softmax_weights = True
hparams.symbol_modality_num_shards = 16
# Add new ones like this.
hparams.add_hparam("filter_size", 2048)
# Layer-related flags. If zero, these fall back on hparams.num_hidden_layers.
hparams.add_hparam("num_encoder_layers", 0)
hparams.add_hparam("num_decoder_layers", 0)
# Attention-related flags.
hparams.add_hparam("num_heads", 8)
hparams.add_hparam("attention_key_channels", 0)
hparams.add_hparam("attention_value_channels", 0)
hparams.add_hparam("ffn_layer", "dense_relu_dense")
hparams.add_hparam("parameter_attention_key_channels", 0)
hparams.add_hparam("parameter_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("attention_dropout_broadcast_dims", "")
hparams.add_hparam("relu_dropout", 0.0)
hparams.add_hparam("relu_dropout_broadcast_dims", "")
hparams.add_hparam("pos", "timing") # timing, none
hparams.add_hparam("nbr_decoder_problems", 1)
hparams.add_hparam("proximity_bias", False)
hparams.add_hparam("causal_decoder_self_attention", True)
hparams.add_hparam("use_pad_remover", True)
hparams.add_hparam("self_attention_type", "dot_product")
hparams.add_hparam("conv_first_kernel", 3)
hparams.add_hparam("attention_variables_3d", False)
hparams.add_hparam("use_target_space_embedding", True)
# These parameters are only used when ffn_layer=="local_moe_tpu"
hparams.add_hparam("moe_overhead_train", 1.0)
hparams.add_hparam("moe_overhead_eval", 2.0)
hparams.moe_num_experts = 16
hparams.moe_loss_coef = 1e-3
# If specified, use this value instead of problem name in metrics.py.
# This is useful for programs that can automatically compare experiments side
# by side based on the same metric names.
hparams.add_hparam("overload_eval_metric_name", "")
# For making a transformer encoder unidirectional by using masked
# attention.
hparams.add_hparam("unidirectional_encoder", False)
# For hard attention.
hparams.add_hparam("hard_attention_k", 0)
return hparams
|
python
|
def transformer_base_v1():
"""Set of hyperparameters."""
hparams = common_hparams.basic_params1()
hparams.norm_type = "layer"
hparams.hidden_size = 512
hparams.batch_size = 4096
hparams.max_length = 256
hparams.clip_grad_norm = 0. # i.e. no gradient clipping
hparams.optimizer_adam_epsilon = 1e-9
hparams.learning_rate_schedule = "legacy"
hparams.learning_rate_decay_scheme = "noam"
hparams.learning_rate = 0.1
hparams.learning_rate_warmup_steps = 4000
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.num_sampled_classes = 0
hparams.label_smoothing = 0.1
hparams.shared_embedding_and_softmax_weights = True
hparams.symbol_modality_num_shards = 16
# Add new ones like this.
hparams.add_hparam("filter_size", 2048)
# Layer-related flags. If zero, these fall back on hparams.num_hidden_layers.
hparams.add_hparam("num_encoder_layers", 0)
hparams.add_hparam("num_decoder_layers", 0)
# Attention-related flags.
hparams.add_hparam("num_heads", 8)
hparams.add_hparam("attention_key_channels", 0)
hparams.add_hparam("attention_value_channels", 0)
hparams.add_hparam("ffn_layer", "dense_relu_dense")
hparams.add_hparam("parameter_attention_key_channels", 0)
hparams.add_hparam("parameter_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("attention_dropout_broadcast_dims", "")
hparams.add_hparam("relu_dropout", 0.0)
hparams.add_hparam("relu_dropout_broadcast_dims", "")
hparams.add_hparam("pos", "timing") # timing, none
hparams.add_hparam("nbr_decoder_problems", 1)
hparams.add_hparam("proximity_bias", False)
hparams.add_hparam("causal_decoder_self_attention", True)
hparams.add_hparam("use_pad_remover", True)
hparams.add_hparam("self_attention_type", "dot_product")
hparams.add_hparam("conv_first_kernel", 3)
hparams.add_hparam("attention_variables_3d", False)
hparams.add_hparam("use_target_space_embedding", True)
# These parameters are only used when ffn_layer=="local_moe_tpu"
hparams.add_hparam("moe_overhead_train", 1.0)
hparams.add_hparam("moe_overhead_eval", 2.0)
hparams.moe_num_experts = 16
hparams.moe_loss_coef = 1e-3
# If specified, use this value instead of problem name in metrics.py.
# This is useful for programs that can automatically compare experiments side
# by side based on the same metric names.
hparams.add_hparam("overload_eval_metric_name", "")
# For making a transformer encoder unidirectional by using masked
# attention.
hparams.add_hparam("unidirectional_encoder", False)
# For hard attention.
hparams.add_hparam("hard_attention_k", 0)
return hparams
|
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"add_hparam",
"(",
"\"hard_attention_k\"",
",",
"0",
")",
"return",
"hparams"
] |
Set of hyperparameters.
|
[
"Set",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1568-L1633
|
train
|
Hparams for training base_v1.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(691 - 642) + '\x30' + chr(243 - 188), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(1055 - 1003) + chr(1297 - 1249), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(2126 - 2015) + chr(1622 - 1572) + chr(0b110111) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\x32' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11101 + 0o26) + chr(0b11001 + 0o35), 0b1000), ehT0Px3KOsy9(chr(2066 - 2018) + chr(0b1111 + 0o140) + chr(0b110001) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10011 + 0o37) + chr(51) + chr(1513 - 1460), 17677 - 17669), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b110000 + 0o3) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + '\061' + '\x36' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9198 - 9087) + chr(55) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(2537 - 2426) + chr(54) + chr(0b10 + 0o63), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(922 - 872) + '\x35' + chr(2229 - 2178), 31894 - 31886), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1000010 + 0o55) + chr(49) + '\064' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(0b110000 + 0o2) + chr(52) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + '\062' + '\x33' + chr(50), 2623 - 2615), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b110000 + 0o77) + chr(51) + '\066' + chr(212 - 162), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\062', 8), ehT0Px3KOsy9(chr(1412 - 1364) + '\x6f' + chr(0b11011 + 0o26) + '\064' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(133 - 85) + '\x6f' + chr(49) + chr(0b101 + 0o62) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + chr(1807 - 1756) + chr(0b101101 + 0o3) + chr(1059 - 1004), 0b1000), ehT0Px3KOsy9(chr(260 - 212) + chr(0b1101111) + chr(0b110 + 0o53) + chr(0b110010), 8), ehT0Px3KOsy9(chr(605 - 557) + chr(0b100 + 0o153) + chr(49) + '\x33' + '\x36', 36291 - 36283), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b111 + 0o60) + chr(441 - 391), 8), ehT0Px3KOsy9(chr(1158 - 1110) + '\x6f' + chr(51) + '\062' + chr(0b110111), 11761 - 11753), ehT0Px3KOsy9('\060' + '\x6f' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1607 - 1559) + chr(0b1001110 + 0o41) + chr(0b11101 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(1786 - 1738) + chr(2749 - 2638) + '\062' + '\064' + '\066', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\064' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(935 - 886) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + chr(0b110011) + '\x37' + chr(0b1101 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b100011 + 0o114) + chr(0b110001) + chr(0b110010), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(938 - 889) + chr(0b100100 + 0o14), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(51) + chr(0b110101) + chr(2431 - 2379), ord("\x08")), ehT0Px3KOsy9(chr(1877 - 1829) + '\157' + '\061' + chr(0b100101 + 0o17), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1783 - 1733) + '\064' + chr(0b1 + 0o66), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(51) + '\065' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(12177 - 12066) + chr(0b100000 + 0o22), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1415 - 1366) + '\062' + chr(0b101001 + 0o11), 50210 - 50202), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110010) + '\x32', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'i'), '\x64' + chr(101) + chr(99) + chr(0b1101111) + chr(3313 - 3213) + chr(4055 - 3954))('\x75' + '\164' + '\146' + chr(0b10100 + 0o31) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def OYToRfGNfMGg():
n4ljua2gi1Pr = vLnG3ZpOXWXZ.basic_params1()
n4ljua2gi1Pr.LE5Fu6Tcl7nw = xafqLlk3kkUe(SXOLrMavuUCe(b'+\x81\xc5\xb5l'), chr(0b1100100) + chr(101) + chr(99) + chr(8383 - 8272) + '\144' + chr(0b1100101))('\x75' + chr(0b1101010 + 0o12) + chr(6170 - 6068) + chr(1852 - 1807) + chr(0b111000))
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(48) + '\x30' + chr(48), 0o10)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b110000) + chr(0b11100 + 0o123) + chr(1851 - 1802) + chr(0b110000) + '\060' + '\060' + chr(48), 59587 - 59579)
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\064' + chr(48) + chr(234 - 186), 0o10)
n4ljua2gi1Pr.SdNSZNVkVjLh = 0.0
n4ljua2gi1Pr.o17O_bIptWdl = 1e-09
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'+\x85\xdb\xb1}s'), chr(6439 - 6339) + chr(101) + chr(0b1001001 + 0o32) + '\157' + '\144' + chr(0b1100101))('\x75' + chr(13281 - 13165) + chr(102) + chr(45) + '\x38')
n4ljua2gi1Pr.v3ZnJE9Hdub1 = xafqLlk3kkUe(SXOLrMavuUCe(b')\x8f\xdd\xbd'), '\x64' + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1010100 + 0o20) + chr(5519 - 5418))(chr(3548 - 3431) + chr(0b100111 + 0o115) + '\146' + chr(45) + '\x38')
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.1
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(55) + '\066' + chr(0b110000 + 0o4) + chr(1981 - 1933), 0b1000)
n4ljua2gi1Pr.S1SbCBXLapw8 = 1.0
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9('\060' + chr(0b1101111) + '\066', 18369 - 18361)
n4ljua2gi1Pr.kwfuYzkY5C57 = xafqLlk3kkUe(SXOLrMavuUCe(b'2\x8e\xd5\xb6qx\xf0\x87\x04T\\\xdf>\xd1\xf9J\x9ec\r\x19'), chr(100) + '\145' + chr(5085 - 4986) + chr(0b1101111) + chr(0b1001101 + 0o27) + '\145')(chr(2878 - 2761) + chr(10969 - 10853) + chr(10319 - 10217) + chr(45) + chr(990 - 934))
n4ljua2gi1Pr.eB4rJl6fUxw9 = 0.0
n4ljua2gi1Pr.GcOjyd7zcDH8 = 0.9
n4ljua2gi1Pr.CBOVKNT0M9cG = 0.98
n4ljua2gi1Pr.Syf38YGTPvuw = ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b110000), 8)
n4ljua2gi1Pr.FSjUgdaczzRk = 0.1
n4ljua2gi1Pr.qVamxim0L2I1 = ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001), ord("\x08"))
n4ljua2gi1Pr.iBYlnqUAwgIX = ehT0Px3KOsy9('\060' + chr(10963 - 10852) + chr(0b110010) + '\x30', 0b1000)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), '\x64' + '\x65' + chr(0b1100011) + chr(8317 - 8206) + '\x64' + '\145')(chr(0b1110101) + chr(0b1000 + 0o154) + chr(0b1100110) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'!\x89\xd0\xa4{x\xc2\xab\x18@P'), '\x64' + '\145' + chr(99) + '\x6f' + chr(0b1011111 + 0o5) + chr(0b110111 + 0o56))(chr(117) + chr(116) + '\146' + '\055' + chr(0b11011 + 0o35)), ehT0Px3KOsy9(chr(1199 - 1151) + '\x6f' + '\064' + '\060' + chr(1706 - 1658) + chr(0b110000), ord("\x08")))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), chr(0b1001110 + 0o26) + chr(0b111111 + 0o46) + chr(1745 - 1646) + '\157' + chr(4874 - 4774) + chr(0b1100101))(chr(117) + chr(116) + chr(102) + '\055' + chr(642 - 586)))(xafqLlk3kkUe(SXOLrMavuUCe(b')\x95\xd1\x8f{d\xfe\xb7\x15_G\xf4\r\xc3\xe3N\x80y'), chr(7698 - 7598) + '\145' + chr(99) + chr(0b1101111) + chr(0b100100 + 0o100) + chr(0b1100101))(chr(0b101001 + 0o114) + '\164' + chr(0b101011 + 0o73) + chr(1568 - 1523) + chr(1048 - 992)), ehT0Px3KOsy9(chr(1341 - 1293) + '\157' + chr(48), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), chr(100) + chr(0b111101 + 0o50) + chr(0b1001 + 0o132) + chr(0b1101111) + chr(0b1100100) + '\x65')('\x75' + chr(0b1110100) + chr(0b1010 + 0o134) + chr(0b0 + 0o55) + chr(1015 - 959)))(xafqLlk3kkUe(SXOLrMavuUCe(b')\x95\xd1\x8fzo\xfe\xb7\x15_G\xf4\r\xc3\xe3N\x80y'), chr(100) + chr(0b10101 + 0o120) + chr(0b1100011) + chr(7242 - 7131) + '\144' + chr(5556 - 5455))(chr(117) + chr(3571 - 3455) + '\x66' + chr(45) + chr(768 - 712)), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), chr(0b1100100) + chr(0b100 + 0o141) + chr(99) + chr(0b1101111) + chr(0b1000111 + 0o35) + chr(7580 - 7479))(chr(0b1110101) + chr(0b1110100) + chr(0b10101 + 0o121) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b')\x95\xd1\x8fvo\xfc\xbc\x02'), '\144' + '\145' + chr(0b1100011) + chr(6850 - 6739) + '\144' + chr(0b1100101))(chr(6091 - 5974) + chr(0b111101 + 0o67) + chr(0b111001 + 0o55) + '\055' + '\x38'), ehT0Px3KOsy9(chr(48) + chr(6264 - 6153) + chr(0b101110 + 0o3) + chr(2258 - 2210), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), '\144' + chr(8966 - 8865) + chr(0b100001 + 0o102) + chr(3995 - 3884) + chr(0b10001 + 0o123) + chr(4072 - 3971))(chr(0b1110101) + chr(116) + '\146' + chr(0b10001 + 0o34) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'&\x94\xc8\xb5p~\xf4\xb7\x1fe^\xce\x18\xfd\xf9C\x93d\r\x1b\xaby'), chr(100) + '\x65' + chr(99) + chr(0b10110 + 0o131) + '\x64' + chr(9226 - 9125))(chr(13334 - 13217) + chr(0b10000 + 0o144) + '\146' + '\055' + chr(56)), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), '\x64' + chr(0b1100101) + chr(0b1001000 + 0o33) + chr(4560 - 4449) + chr(0b110111 + 0o55) + chr(0b1001100 + 0o31))(chr(117) + chr(2151 - 2035) + chr(0b101110 + 0o70) + chr(0b101101 + 0o0) + chr(1512 - 1456)))(xafqLlk3kkUe(SXOLrMavuUCe(b'&\x94\xc8\xb5p~\xf4\xb7\x1feC\xca\r\xd7\xfft\x91b\x02\x10\xa9o2I'), '\144' + chr(8433 - 8332) + '\143' + chr(0b1101111) + chr(0b100 + 0o140) + chr(101))(chr(0b1110101) + '\x74' + chr(729 - 627) + chr(0b100101 + 0o10) + '\070'), ehT0Px3KOsy9('\060' + chr(9940 - 9829) + '\060', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), chr(0b10010 + 0o122) + '\x65' + '\x63' + chr(111) + chr(0b1000011 + 0o41) + chr(9640 - 9539))(chr(0b1110101) + '\x74' + chr(277 - 175) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'!\x86\xd2\x8frk\xe4\xbd\x03'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b110100 + 0o73) + '\x64' + chr(0b1100101))(chr(0b10 + 0o163) + chr(0b1110100) + '\x66' + chr(1838 - 1793) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'#\x85\xd2\xa3{U\xef\xbd\x1dOj\xcf\x04\xcc\xe9N'), '\x64' + chr(0b110 + 0o137) + chr(3884 - 3785) + '\157' + chr(100) + chr(101))(chr(0b1110101) + chr(0b111111 + 0o65) + chr(0b1100110) + chr(0b100100 + 0o11) + '\x38'))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), '\144' + '\145' + chr(7698 - 7599) + chr(111) + chr(1543 - 1443) + '\x65')('\x75' + chr(0b1100110 + 0o16) + chr(7136 - 7034) + chr(45) + chr(371 - 315)))(xafqLlk3kkUe(SXOLrMavuUCe(b"7\x81\xce\xb1so\xe9\xbd\x03eT\xdf\x15\xc7\xf4_\x9be\r!\xaco'e\xb4hb\xc8\x8fk\x96y"), '\144' + '\145' + chr(7823 - 7724) + '\157' + chr(1412 - 1312) + chr(7432 - 7331))(chr(117) + '\x74' + chr(0b1100110) + chr(0b1000 + 0o45) + '\x38'), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(704 - 656), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), chr(100) + chr(0b101011 + 0o72) + chr(99) + chr(0b101110 + 0o101) + chr(100) + chr(101))(chr(0b1110101) + '\x74' + chr(102) + chr(0b1 + 0o54) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'7\x81\xce\xb1so\xe9\xbd\x03eT\xdf\x15\xc7\xf4_\x9be\r!\xb1k2O\xb2_`\xce\x80`\x94od\x9f'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(142 - 31) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(9723 - 9607) + '\x66' + chr(1957 - 1912) + chr(0b111000)), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(2542 - 2431) + '\x30', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), '\144' + chr(5888 - 5787) + '\x63' + chr(7113 - 7002) + '\x64' + '\x65')(chr(2935 - 2818) + '\164' + chr(0b0 + 0o146) + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'&\x94\xc8\xb5p~\xf4\xb7\x1feQ\xd9\x0e\xd2\xf5^\x86'), '\144' + chr(2555 - 2454) + chr(9692 - 9593) + '\157' + chr(100) + chr(0b1100101))('\165' + chr(0b1110100) + '\x66' + chr(0b11 + 0o52) + chr(56)), 0.0)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), '\x64' + chr(0b1100101) + chr(0b1100000 + 0o3) + '\157' + chr(8861 - 8761) + '\x65')(chr(4151 - 4034) + chr(0b1110100) + '\x66' + chr(0b10111 + 0o26) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'&\x94\xc8\xb5p~\xf4\xb7\x1feQ\xd9\x0e\xd2\xf5^\x86U\x01\x0c\xa8k:Y\xb6sw\xf9\x85g\x97y'), chr(0b10000 + 0o124) + chr(2307 - 2206) + '\143' + '\x6f' + '\x64' + '\x65')('\x75' + chr(0b1101001 + 0o13) + chr(0b1100110) + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(5740 - 5640) + '\145' + '\x63' + '\x6f' + chr(6061 - 5961) + chr(0b1100101))('\165' + chr(228 - 112) + chr(0b1001 + 0o135) + '\055' + chr(518 - 462)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), '\x64' + chr(0b1100101) + chr(0b110 + 0o135) + '\x6f' + '\x64' + chr(101))(chr(117) + chr(0b1110100) + chr(866 - 764) + chr(458 - 413) + chr(0b110000 + 0o10)))(xafqLlk3kkUe(SXOLrMavuUCe(b'5\x85\xd0\xa5An\xef\xb7\x01U@\xdf'), chr(8472 - 8372) + '\145' + chr(2902 - 2803) + '\x6f' + chr(6488 - 6388) + chr(101))(chr(1858 - 1741) + chr(0b1110100) + chr(102) + '\x2d' + chr(1486 - 1430)), 0.0)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), '\144' + '\145' + chr(5276 - 5177) + chr(111) + '\144' + '\145')(chr(0b1000100 + 0o61) + chr(0b1 + 0o163) + chr(0b10000 + 0o126) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'5\x85\xd0\xa5An\xef\xb7\x01U@\xdf>\xc0\xe8D\x93n\x00\x1f\xb4~\x01^\xbemp'), chr(4267 - 4167) + chr(0b10100 + 0o121) + chr(0b1000111 + 0o34) + chr(0b1011000 + 0o27) + chr(1598 - 1498) + chr(0b101001 + 0o74))(chr(117) + chr(116) + chr(3288 - 3186) + chr(0b10101 + 0o30) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b11100 + 0o110) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b10001 + 0o124))(chr(0b1110101) + '\164' + '\x66' + '\055' + '\070'))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), chr(0b111100 + 0o50) + '\145' + '\143' + '\157' + chr(0b11010 + 0o112) + chr(6310 - 6209))(chr(117) + '\x74' + chr(2212 - 2110) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'7\x8f\xcf'), '\144' + chr(0b11001 + 0o114) + chr(8792 - 8693) + chr(111) + '\x64' + chr(0b1100101))(chr(117) + '\164' + '\146' + chr(45) + chr(0b11100 + 0o34)), xafqLlk3kkUe(SXOLrMavuUCe(b'3\x89\xd1\xb9pm'), '\x64' + '\x65' + chr(0b100001 + 0o102) + chr(0b10111 + 0o130) + chr(4549 - 4449) + chr(0b1100101))(chr(6232 - 6115) + '\x74' + chr(0b11111 + 0o107) + '\055' + '\070'))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), chr(100) + chr(0b1100101) + chr(99) + chr(5536 - 5425) + chr(100) + chr(0b0 + 0o145))(chr(0b1000101 + 0o60) + '\164' + chr(0b110011 + 0o63) + chr(45) + chr(0b11 + 0o65)))(xafqLlk3kkUe(SXOLrMavuUCe(b')\x82\xce\x8fzo\xfe\xb7\x15_G\xf4\x11\xd0\xf5I\x9eo\x0e\r'), '\x64' + chr(0b1000010 + 0o43) + chr(4732 - 4633) + chr(111) + '\x64' + chr(101))('\x75' + chr(0b11 + 0o161) + '\x66' + chr(45) + chr(2843 - 2787)), ehT0Px3KOsy9(chr(48) + '\157' + '\061', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), '\x64' + '\x65' + chr(778 - 679) + chr(9781 - 9670) + '\144' + '\145')('\165' + chr(0b1110100) + '\146' + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'7\x92\xd3\xa8wg\xf4\xac\x08eW\xc2\x00\xd1'), chr(0b110000 + 0o64) + chr(0b111000 + 0o55) + chr(4355 - 4256) + chr(8438 - 8327) + chr(0b101 + 0o137) + chr(0b111 + 0o136))(chr(117) + '\164' + chr(102) + chr(0b101101) + chr(1654 - 1598)), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), chr(8900 - 8800) + chr(0b1010111 + 0o16) + chr(0b1100011) + chr(0b10000 + 0o137) + '\144' + chr(101))(chr(0b1110101) + chr(0b1001101 + 0o47) + chr(0b11111 + 0o107) + '\055' + chr(2105 - 2049)))(xafqLlk3kkUe(SXOLrMavuUCe(b'$\x81\xc9\xa3\x7ff\xc2\xbc\x14YZ\xcf\x04\xd0\xc5X\x97f\x05!\xa6~*_\xb9tj\xc9\x8f'), '\x64' + chr(101) + chr(0b111101 + 0o46) + chr(0b1001001 + 0o46) + '\x64' + chr(3213 - 3112))(chr(4675 - 4558) + chr(10999 - 10883) + '\x66' + '\055' + chr(2301 - 2245)), ehT0Px3KOsy9(chr(48) + chr(3751 - 3640) + '\061', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), '\144' + chr(5483 - 5382) + chr(99) + chr(916 - 805) + chr(0b1100100) + '\x65')(chr(117) + chr(0b1110100) + '\x66' + chr(0b1101 + 0o40) + chr(3010 - 2954)))(xafqLlk3kkUe(SXOLrMavuUCe(b'2\x93\xd9\x8fnk\xf9\x87\x03_X\xc4\x17\xc7\xe8'), chr(100) + chr(0b1100101) + '\143' + chr(111) + chr(0b1010101 + 0o17) + chr(101))(chr(117) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b101101 + 0o13)), ehT0Px3KOsy9('\060' + chr(0b101001 + 0o106) + chr(49), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), '\x64' + '\x65' + chr(0b1100011) + chr(0b1010011 + 0o34) + chr(100) + chr(0b1011100 + 0o11))(chr(117) + chr(7462 - 7346) + chr(0b1100110) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'4\x85\xd0\xb6Ak\xe9\xac\x14TA\xc2\x0e\xcc\xc5_\x8bz\x06'), '\144' + chr(0b1100101) + chr(0b1001001 + 0o32) + chr(9904 - 9793) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(5781 - 5665) + chr(0b101100 + 0o72) + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'#\x8f\xc8\x8fnx\xf2\xbc\x04YA'), '\x64' + '\145' + chr(0b111000 + 0o53) + chr(0b11110 + 0o121) + chr(8598 - 8498) + chr(101))(chr(0b1110101) + '\x74' + chr(102) + chr(0b101 + 0o50) + '\x38'))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), '\144' + chr(101) + '\143' + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1010010 + 0o24) + chr(1630 - 1585) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'$\x8f\xd2\xa6Al\xf4\xaa\x02Nj\xc0\x04\xd0\xf4N\x9e'), chr(9874 - 9774) + chr(101) + chr(99) + chr(6066 - 5955) + chr(100) + '\x65')(chr(802 - 685) + '\164' + chr(3775 - 3673) + '\x2d' + chr(393 - 337)), ehT0Px3KOsy9(chr(1678 - 1630) + chr(0b1101111) + chr(0b1110 + 0o45), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), '\x64' + chr(1103 - 1002) + '\x63' + '\157' + chr(0b111 + 0o135) + chr(8950 - 8849))('\165' + '\x74' + chr(102) + chr(0b1101 + 0o40) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'&\x94\xc8\xb5p~\xf4\xb7\x1feC\xca\x13\xcb\xfbI\x9eo\x10!\xf4n'), chr(100) + '\145' + chr(0b111010 + 0o51) + '\157' + '\x64' + chr(101))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b11001 + 0o24) + chr(0b101000 + 0o20)), ehT0Px3KOsy9(chr(706 - 658) + '\x6f' + chr(0b1101 + 0o43), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))('\165' + chr(116) + '\146' + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'2\x93\xd9\x8fjk\xef\xbf\x14Nj\xd8\x11\xc3\xf9N\xado\x0e\x1c\xa2n:S\xb9g'), '\x64' + '\145' + chr(2360 - 2261) + '\157' + chr(2598 - 2498) + chr(101))(chr(0b10100 + 0o141) + chr(0b1101011 + 0o11) + chr(0b1100110) + chr(45) + chr(0b110111 + 0o1)), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(958 - 909), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\157' + chr(0b1010010 + 0o22) + chr(0b1100101))(chr(1369 - 1252) + chr(0b11101 + 0o127) + chr(10161 - 10059) + '\x2d' + chr(134 - 78)))(xafqLlk3kkUe(SXOLrMavuUCe(b'*\x8f\xd9\x8fq|\xf8\xaa\x19_T\xcf>\xd6\xe8J\x9bd'), '\x64' + chr(0b111011 + 0o52) + '\x63' + chr(8045 - 7934) + '\144' + chr(101))('\165' + chr(0b110 + 0o156) + chr(0b11001 + 0o115) + chr(0b1001 + 0o44) + chr(56)), 1.0)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), chr(0b1100100) + chr(101) + '\143' + chr(0b111100 + 0o63) + chr(0b1100100 + 0o0) + '\145')('\165' + '\x74' + '\x66' + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'*\x8f\xd9\x8fq|\xf8\xaa\x19_T\xcf>\xc7\xecJ\x9e'), chr(0b1000111 + 0o35) + '\x65' + chr(0b11111 + 0o104) + chr(0b1001010 + 0o45) + '\144' + chr(0b1100101))(chr(9107 - 8990) + chr(0b101011 + 0o111) + '\x66' + '\055' + '\070'), 2.0)
n4ljua2gi1Pr.r99iQzD4Y8i3 = ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(2202 - 2152) + chr(0b100001 + 0o17), 8)
n4ljua2gi1Pr.VMsZZrjA_RNt = 0.001
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), chr(0b11110 + 0o106) + chr(6438 - 6337) + '\143' + '\157' + chr(8837 - 8737) + '\x65')(chr(0b1110101) + chr(0b11011 + 0o131) + chr(102) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'(\x96\xd9\xa2re\xfc\xbc._C\xca\r\xfd\xf7N\x86x\n\x1d\x98d?W\xb2'), '\144' + chr(0b1100101) + chr(4378 - 4279) + '\x6f' + '\144' + chr(0b1100101))('\165' + chr(11146 - 11030) + '\146' + chr(1948 - 1903) + chr(0b111000 + 0o0)), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1100100) + chr(0b10100 + 0o121) + chr(7764 - 7665) + chr(111) + chr(2398 - 2298) + chr(0b1011011 + 0o12))(chr(0b1101111 + 0o6) + chr(116) + chr(0b1100110) + chr(0b11110 + 0o17) + chr(0b111000)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), '\144' + chr(2466 - 2365) + '\143' + '\157' + chr(5925 - 5825) + chr(0b110110 + 0o57))('\165' + chr(12490 - 12374) + '\146' + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'2\x8e\xd5\xb4wx\xf8\xbb\x05SZ\xc5\x00\xce\xc5N\x9ci\x0c\x1a\xa2x'), chr(0b1100011 + 0o1) + '\145' + '\143' + chr(0b1100110 + 0o11) + chr(100) + chr(101))(chr(0b11010 + 0o133) + chr(116) + chr(102) + chr(0b101101) + chr(0b10000 + 0o50)), ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + chr(0b110000), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'&\x84\xd8\x8fvz\xfc\xaa\x10W'), chr(0b1100100) + chr(0b1011010 + 0o13) + chr(2323 - 2224) + chr(0b1101111) + '\144' + '\x65')('\x75' + chr(6825 - 6709) + chr(102) + chr(0b11 + 0o52) + chr(534 - 478)))(xafqLlk3kkUe(SXOLrMavuUCe(b'/\x81\xce\xb4Ak\xe9\xac\x14TA\xc2\x0e\xcc\xc5@'), chr(100) + '\x65' + chr(99) + chr(111) + chr(0b110000 + 0o64) + '\145')('\165' + '\x74' + chr(0b100110 + 0o100) + '\x2d' + chr(942 - 886)), ehT0Px3KOsy9(chr(685 - 637) + chr(0b1101111) + chr(0b110000), 8))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_base_v2
|
def transformer_base_v2():
"""Set of hyperparameters."""
hparams = transformer_base_v1()
hparams.layer_preprocess_sequence = "n"
hparams.layer_postprocess_sequence = "da"
hparams.layer_prepostprocess_dropout = 0.1
hparams.attention_dropout = 0.1
hparams.relu_dropout = 0.1
hparams.learning_rate_warmup_steps = 8000
hparams.learning_rate = 0.2
return hparams
|
python
|
def transformer_base_v2():
"""Set of hyperparameters."""
hparams = transformer_base_v1()
hparams.layer_preprocess_sequence = "n"
hparams.layer_postprocess_sequence = "da"
hparams.layer_prepostprocess_dropout = 0.1
hparams.attention_dropout = 0.1
hparams.relu_dropout = 0.1
hparams.learning_rate_warmup_steps = 8000
hparams.learning_rate = 0.2
return hparams
|
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Set of hyperparameters.
|
[
"Set",
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"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1637-L1647
|
train
|
Set of hyperparameters.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b1001 + 0o52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + chr(0b10101 + 0o42) + chr(2730 - 2676), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + chr(49) + chr(0b10000 + 0o44) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(1602 - 1553) + '\063', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(448 - 399) + chr(2029 - 1976), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1936 - 1887) + '\065' + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(974 - 863) + chr(1193 - 1140) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(55) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\064', 33535 - 33527), ehT0Px3KOsy9(chr(163 - 115) + '\157' + '\x31' + chr(0b11011 + 0o32) + chr(0b11001 + 0o30), 33031 - 33023), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + chr(1115 - 1065) + chr(1865 - 1817), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110110) + chr(0b1101 + 0o52), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110110) + chr(0b101011 + 0o7), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x35' + chr(2087 - 2036), 25746 - 25738), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(49) + chr(0b10101 + 0o35), 30401 - 30393), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\062' + chr(49), 6411 - 6403), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b101010 + 0o13) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(0b110110) + chr(0b101110 + 0o10), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101110 + 0o1) + '\062' + chr(620 - 567) + chr(55), 52107 - 52099), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b101111 + 0o2) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101001 + 0o11) + chr(53) + '\067', 8), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(0b101111 + 0o4) + chr(992 - 941), 43968 - 43960), ehT0Px3KOsy9(chr(0b110000) + chr(7137 - 7026) + chr(51) + chr(0b110001) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b1101 + 0o45) + chr(2348 - 2298) + chr(1365 - 1310), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7112 - 7001) + chr(0b110011) + chr(0b1111 + 0o50) + chr(54), 8), ehT0Px3KOsy9(chr(408 - 360) + chr(111) + chr(0b110001) + chr(0b110011) + chr(414 - 361), 11396 - 11388), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\060', 45278 - 45270), ehT0Px3KOsy9('\060' + chr(111) + chr(2039 - 1989) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(52) + chr(51), 449 - 441), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b10001 + 0o136) + chr(850 - 799) + chr(0b110111) + '\x33', 31846 - 31838), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(9249 - 9138) + '\061' + chr(321 - 268) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1924 - 1875) + chr(0b11101 + 0o32) + chr(0b110111), 13190 - 13182), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + '\062' + chr(0b110111) + '\066', 56672 - 56664), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + chr(0b110001) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1982 - 1934) + '\157' + chr(0b101000 + 0o13) + chr(0b110101) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1100111 + 0o10) + chr(51) + chr(0b110110) + chr(0b101100 + 0o7), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b101111 + 0o2) + chr(48) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(606 - 556) + chr(49) + chr(744 - 691), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(49) + chr(0b110011), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101 + 0o0) + '\060', 38844 - 38836)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'='), '\144' + chr(0b1011100 + 0o11) + chr(0b11111 + 0o104) + chr(0b1101111) + '\x64' + chr(0b1100101))('\x75' + '\164' + '\146' + chr(482 - 437) + chr(2412 - 2356)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mul6_zABiAD2():
n4ljua2gi1Pr = OYToRfGNfMGg()
n4ljua2gi1Pr.WjY1aZ7lwLOu = xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(5611 - 5511) + '\x65' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100 + 0o131))(chr(117) + chr(116) + chr(102) + chr(1343 - 1298) + '\x38')
n4ljua2gi1Pr.s6T_PoakASTI = xafqLlk3kkUe(SXOLrMavuUCe(b'w_'), chr(6630 - 6530) + '\145' + '\143' + chr(0b1101111) + chr(5688 - 5588) + chr(0b111100 + 0o51))('\165' + chr(2721 - 2605) + chr(5530 - 5428) + '\055' + chr(0b111000))
n4ljua2gi1Pr.RW_xSzp18UeS = 0.1
n4ljua2gi1Pr.RdMRr3qkYioQ = 0.1
n4ljua2gi1Pr.PJc0PNdBnSag = 0.1
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(55) + chr(0b10000 + 0o45) + chr(1780 - 1732) + '\060', ord("\x08"))
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.2
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_base_vq_ada_32ex_packed
|
def transformer_base_vq_ada_32ex_packed():
"""Set of hyperparameters for lm1b packed following tpu params."""
hparams = transformer_base_v2()
expert_utils.update_hparams_for_vq_gating(hparams)
hparams.moe_num_experts = 32
hparams.gating_type = "vq"
# this gives us a batch size of 16 because each seq is len 256
hparams.batch_size = 5072
hparams.ffn_layer = "local_moe"
hparams.shared_embedding_and_softmax_weights = False
hparams.learning_rate_warmup_steps = 10000
# one epoch for languagemodel_lm1b32k_packed = 27200 steps w/ bsize 128
hparams.learning_rate_decay_steps = 27200
hparams.num_heads = 4
hparams.num_blocks = 1
hparams.moe_k = 1
hparams.num_decoder_layers = 6
hparams.label_smoothing = 0.
hparams.layer_prepostprocess_dropout = 0.1
hparams.layer_postprocess_sequence = "dan"
hparams.layer_preprocess_sequence = "none"
hparams.weight_decay = 1e-06
hparams.attention_dropout = 0.1
hparams.optimizer = "Adafactor"
hparams.learning_rate_schedule = "linear_warmup*rsqrt_decay*linear_decay"
hparams.activation_dtype = "float32"
hparams.learning_rate = 0.1
hparams.learning_rate_constant = 1.0
return hparams
|
python
|
def transformer_base_vq_ada_32ex_packed():
"""Set of hyperparameters for lm1b packed following tpu params."""
hparams = transformer_base_v2()
expert_utils.update_hparams_for_vq_gating(hparams)
hparams.moe_num_experts = 32
hparams.gating_type = "vq"
# this gives us a batch size of 16 because each seq is len 256
hparams.batch_size = 5072
hparams.ffn_layer = "local_moe"
hparams.shared_embedding_and_softmax_weights = False
hparams.learning_rate_warmup_steps = 10000
# one epoch for languagemodel_lm1b32k_packed = 27200 steps w/ bsize 128
hparams.learning_rate_decay_steps = 27200
hparams.num_heads = 4
hparams.num_blocks = 1
hparams.moe_k = 1
hparams.num_decoder_layers = 6
hparams.label_smoothing = 0.
hparams.layer_prepostprocess_dropout = 0.1
hparams.layer_postprocess_sequence = "dan"
hparams.layer_preprocess_sequence = "none"
hparams.weight_decay = 1e-06
hparams.attention_dropout = 0.1
hparams.optimizer = "Adafactor"
hparams.learning_rate_schedule = "linear_warmup*rsqrt_decay*linear_decay"
hparams.activation_dtype = "float32"
hparams.learning_rate = 0.1
hparams.learning_rate_constant = 1.0
return hparams
|
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Set of hyperparameters for lm1b packed following tpu params.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1651-L1679
|
train
|
Set of hyperparameters for lm1b packed following tpu 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(0b1010 + 0o46) + chr(111) + chr(0b110001) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(2549 - 2496) + chr(0b10100 + 0o34), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001 + 0o2) + chr(49) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\064' + chr(0b10 + 0o57), 0o10), ehT0Px3KOsy9(chr(1960 - 1912) + chr(111) + chr(0b10010 + 0o41) + chr(50) + chr(0b11110 + 0o22), 29282 - 29274), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b1000 + 0o54) + chr(53), 61810 - 61802), ehT0Px3KOsy9(chr(1856 - 1808) + chr(4851 - 4740) + chr(0b110011) + chr(1699 - 1645) + chr(317 - 269), 50732 - 50724), ehT0Px3KOsy9(chr(720 - 672) + chr(0b11110 + 0o121) + '\063' + chr(0b11100 + 0o27) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1020 - 909) + '\x33' + '\062' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + '\x36' + chr(0b110110), 45854 - 45846), ehT0Px3KOsy9(chr(48) + chr(4143 - 4032) + chr(0b11111 + 0o23) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(752 - 641) + chr(2138 - 2087) + chr(480 - 425) + chr(818 - 766), 48766 - 48758), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(53) + chr(0b11110 + 0o26), 0b1000), ehT0Px3KOsy9('\060' + chr(7284 - 7173) + chr(1589 - 1539) + chr(0b100101 + 0o17) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11083 - 10972) + chr(0b110001) + '\065' + chr(0b1110 + 0o42), 40837 - 40829), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + '\062' + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2204 - 2149), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1962 - 1911) + '\065' + '\065', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(53) + '\x33', 43163 - 43155), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(2287 - 2237) + '\x36' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2013 - 1963) + '\063' + chr(0b11010 + 0o35), 52880 - 52872), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + '\x31' + chr(2055 - 2005) + chr(0b110010), 25493 - 25485), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + '\x32' + '\066' + chr(1336 - 1282), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(1891 - 1843) + chr(0b11000 + 0o35), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(2058 - 2008) + chr(2501 - 2449), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\x34' + chr(2049 - 2000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x34', 8), ehT0Px3KOsy9(chr(0b110000) + chr(11833 - 11722) + chr(0b0 + 0o62) + '\064' + chr(1771 - 1721), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b100001 + 0o20) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(993 - 942) + '\066' + chr(55 - 1), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x35' + chr(1460 - 1410), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b101010 + 0o105) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(916 - 861) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(0b110011) + chr(2862 - 2807) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(2805 - 2694) + chr(0b110001) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(10544 - 10433) + chr(0b110010) + '\x35' + chr(133 - 84), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + '\x33' + chr(0b1111 + 0o42), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110101) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'!'), chr(100) + chr(101) + '\143' + chr(111) + chr(0b1100100) + chr(101))(chr(117) + chr(0b1110100) + '\x66' + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def H7_3imowh7Xs():
n4ljua2gi1Pr = mul6_zABiAD2()
xafqLlk3kkUe(mpdtyez0NuRm, xafqLlk3kkUe(SXOLrMavuUCe(b'zX\xaa\xc0\xa4i\xba\x98\xae\xb5Du\x91\x1f\xfc\x0ezu\xb2\x9dk\xe8\xf83\xc2i+\xf3'), chr(7447 - 7347) + chr(0b1100101) + chr(9613 - 9514) + '\x6f' + '\x64' + '\x65')(chr(0b1110101) + chr(116) + '\x66' + chr(45) + chr(0b110110 + 0o2)))(n4ljua2gi1Pr)
n4ljua2gi1Pr.r99iQzD4Y8i3 = ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100) + chr(48), 49207 - 49199)
n4ljua2gi1Pr.SilfAvFKZmpG = xafqLlk3kkUe(SXOLrMavuUCe(b'yY'), chr(7576 - 7476) + chr(0b1100101) + '\x63' + chr(11924 - 11813) + chr(6287 - 6187) + '\x65')('\165' + chr(0b1110100) + chr(0b11001 + 0o115) + chr(0b101101) + '\070')
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + '\061' + chr(2009 - 1960) + chr(55) + chr(0b110010) + chr(48), 62593 - 62585)
n4ljua2gi1Pr.SH5PH2T7PEUB = xafqLlk3kkUe(SXOLrMavuUCe(b'cG\xad\xc0\xbcS\x88\x9f\xbb'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1100100) + '\145')('\x75' + chr(0b1110100) + chr(0b1000011 + 0o43) + '\x2d' + chr(0b111000))
n4ljua2gi1Pr.qVamxim0L2I1 = ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(48), 8)
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(0b110010) + chr(0b101111 + 0o4) + '\x34' + chr(0b110010) + chr(0b110000), 0o10)
n4ljua2gi1Pr.YBAB1XyoxOc5 = ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1011 + 0o53) + chr(0b101011 + 0o12) + '\x31' + '\060' + chr(48), 0o10)
n4ljua2gi1Pr.vRVqPOZ1hUG7 = ehT0Px3KOsy9('\x30' + '\157' + chr(0b110100), 0o10)
n4ljua2gi1Pr.azOnMTJc4Vem = ehT0Px3KOsy9(chr(48) + chr(8719 - 8608) + '\x31', 0b1000)
n4ljua2gi1Pr.xwl05__wedRi = ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(49), 8)
n4ljua2gi1Pr.pRi6YFAYEnH4 = ehT0Px3KOsy9(chr(48) + chr(11106 - 10995) + chr(54), 64196 - 64188)
n4ljua2gi1Pr.FSjUgdaczzRk = 0.0
n4ljua2gi1Pr.RW_xSzp18UeS = 0.1
n4ljua2gi1Pr.s6T_PoakASTI = xafqLlk3kkUe(SXOLrMavuUCe(b'kI\xa0'), '\144' + chr(101) + '\143' + chr(0b1101111) + chr(2144 - 2044) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + chr(1357 - 1312) + chr(120 - 64))
n4ljua2gi1Pr.WjY1aZ7lwLOu = xafqLlk3kkUe(SXOLrMavuUCe(b'aG\xa0\xc4'), chr(5677 - 5577) + '\x65' + '\x63' + '\157' + chr(0b1011100 + 0o10) + chr(0b100111 + 0o76))('\x75' + chr(116) + '\x66' + '\x2d' + '\x38')
n4ljua2gi1Pr.eB4rJl6fUxw9 = 1e-06
n4ljua2gi1Pr.RdMRr3qkYioQ = 0.1
n4ljua2gi1Pr.XdKNcYRObPK3 = xafqLlk3kkUe(SXOLrMavuUCe(b'NL\xaf\xc7\xb1o\x91\x9f\xac'), '\144' + chr(7372 - 7271) + '\x63' + chr(0b1000000 + 0o57) + chr(0b1100100) + chr(101))(chr(117) + chr(0b1110100) + chr(102) + chr(366 - 321) + chr(1510 - 1454))
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'cA\xa0\xc4\xb1~\xba\x87\xbf\xa6[a\x8cF\xd1\x1bdu\x99\xb4~\xd2\xfc3\xcf*)\xfd\x8fq\xc3?\xa9Nf\x9b\x9bs'), chr(0b1100100) + chr(0b101111 + 0o66) + chr(688 - 589) + chr(0b11 + 0o154) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(102) + chr(1871 - 1826) + chr(56))
n4ljua2gi1Pr.n6ZCgJ7AKd3U = xafqLlk3kkUe(SXOLrMavuUCe(b'iD\xa1\xc0\xa4?\xd7'), chr(9646 - 9546) + chr(0b1011110 + 0o7) + chr(99) + '\x6f' + chr(0b1100000 + 0o4) + '\145')(chr(0b1001101 + 0o50) + chr(8584 - 8468) + chr(0b1100110) + chr(0b1001 + 0o44) + '\x38')
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.1
n4ljua2gi1Pr.Ot9HUjnkxXA_ = 1.0
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_base_vq1_16_nb1_packed_nda_b01_scales
|
def transformer_base_vq1_16_nb1_packed_nda_b01_scales():
"""Set of hyperparameters."""
hparams = transformer_base_vq_ada_32ex_packed()
hparams.use_scales = int(True)
hparams.moe_num_experts = 16
hparams.moe_k = 1
hparams.beta = 0.1
hparams.layer_preprocess_sequence = "n"
hparams.layer_postprocess_sequence = "da"
hparams.ema = False
return hparams
|
python
|
def transformer_base_vq1_16_nb1_packed_nda_b01_scales():
"""Set of hyperparameters."""
hparams = transformer_base_vq_ada_32ex_packed()
hparams.use_scales = int(True)
hparams.moe_num_experts = 16
hparams.moe_k = 1
hparams.beta = 0.1
hparams.layer_preprocess_sequence = "n"
hparams.layer_postprocess_sequence = "da"
hparams.ema = False
return hparams
|
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] |
Set of hyperparameters.
|
[
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272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1692-L1702
|
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' + '\x6f' + chr(50) + chr(55) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\060' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x30' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(266 - 155) + chr(0b10001 + 0o42) + chr(74 - 24) + chr(0b100111 + 0o15), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110001 + 0o76) + '\x33' + chr(0b110101) + chr(0b11010 + 0o34), 14488 - 14480), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b110001 + 0o2) + chr(0b10100 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\x32' + '\062' + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(2673 - 2618) + chr(0b10100 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(2151 - 2103) + chr(6201 - 6090) + '\x31' + chr(0b101001 + 0o16) + chr(48), 54718 - 54710), ehT0Px3KOsy9(chr(0b110000) + chr(10791 - 10680) + '\x32' + '\x33' + chr(0b1 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + '\x32' + chr(0b110001) + '\064', 5649 - 5641), ehT0Px3KOsy9('\060' + chr(3513 - 3402) + chr(0b100010 + 0o17) + chr(0b110000 + 0o7) + '\060', 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1010001 + 0o36) + chr(0b1000 + 0o55) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x36' + chr(1601 - 1549), 0o10), ehT0Px3KOsy9(chr(588 - 540) + '\157' + chr(663 - 608) + chr(511 - 462), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(0b110001) + chr(0b101000 + 0o13) + chr(1432 - 1380), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1001 + 0o52) + '\x32' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(2169 - 2121) + chr(0b1100001 + 0o16) + chr(0b110010) + '\x37' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + chr(1376 - 1326) + chr(53) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(1467 - 1416) + '\061' + chr(500 - 452), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(0b111 + 0o52) + chr(55 - 7) + chr(1613 - 1564), 34897 - 34889), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(53) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(1157 - 1106) + chr(0b100001 + 0o21), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(12241 - 12130) + '\062' + chr(0b110000) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(11322 - 11211) + '\062' + '\x33' + chr(0b10100 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\x30' + chr(0b11001 + 0o27), 52518 - 52510), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000111 + 0o50) + '\x32' + chr(0b10101 + 0o34) + chr(1616 - 1568), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x37' + chr(51), 8), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(540 - 489) + chr(358 - 306) + chr(0b101101 + 0o12), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b100 + 0o153) + chr(910 - 856) + '\067', 0o10), ehT0Px3KOsy9(chr(166 - 118) + '\157' + chr(1041 - 992) + '\x36' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2326 - 2276) + chr(0b1111 + 0o43) + chr(54), 5416 - 5408), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11010 + 0o30) + chr(587 - 535) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2211 - 2160) + '\066' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1909 - 1798) + chr(0b110010) + '\x37' + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\063' + chr(0b11100 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\067' + chr(0b110111), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1275 - 1222) + chr(48), 42594 - 42586)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x91'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(100) + chr(0b111 + 0o136))(chr(0b1100001 + 0o24) + '\164' + chr(0b111 + 0o137) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MK_dD6yZoeJZ():
n4ljua2gi1Pr = H7_3imowh7Xs()
n4ljua2gi1Pr.msQMOP930n36 = ehT0Px3KOsy9(ehT0Px3KOsy9(chr(1386 - 1338) + chr(0b11 + 0o154) + chr(0b110001), ord("\x08")))
n4ljua2gi1Pr.r99iQzD4Y8i3 = ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + '\062' + chr(1671 - 1623), 0b1000)
n4ljua2gi1Pr.xwl05__wedRi = ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(1715 - 1666), 8)
n4ljua2gi1Pr.FjcovgoHM1LG = 0.1
n4ljua2gi1Pr.WjY1aZ7lwLOu = xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1'), '\x64' + chr(9721 - 9620) + chr(9535 - 9436) + chr(0b1101111) + chr(0b11110 + 0o106) + chr(101))(chr(0b1110101) + chr(0b1010 + 0o152) + chr(8941 - 8839) + chr(0b100001 + 0o14) + chr(56))
n4ljua2gi1Pr.s6T_PoakASTI = xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\xa3'), chr(100) + chr(0b110 + 0o137) + chr(3745 - 3646) + chr(0b1101111) + '\144' + '\145')(chr(117) + chr(116) + chr(0b1001001 + 0o35) + '\x2d' + '\x38')
n4ljua2gi1Pr.fewd3RWy_xMU = ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b110000), 0o10)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_base_vq1_16_nb1_packed_dan_b01_scales
|
def transformer_base_vq1_16_nb1_packed_dan_b01_scales():
"""Set of hyperparameters."""
hparams = transformer_base_vq_ada_32ex_packed()
hparams.use_scales = int(True)
hparams.moe_num_experts = 16
hparams.moe_k = 1
hparams.beta = 0.1
hparams.ema = False
return hparams
|
python
|
def transformer_base_vq1_16_nb1_packed_dan_b01_scales():
"""Set of hyperparameters."""
hparams = transformer_base_vq_ada_32ex_packed()
hparams.use_scales = int(True)
hparams.moe_num_experts = 16
hparams.moe_k = 1
hparams.beta = 0.1
hparams.ema = False
return hparams
|
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] |
Set of hyperparameters.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1706-L1714
|
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('\060' + chr(3181 - 3070) + chr(0b110001) + '\x35' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(969 - 921) + chr(0b1101111) + chr(642 - 591) + chr(50) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100 + 0o56) + chr(0b110100) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(0b110010) + chr(0b110110) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1461 - 1413) + '\157' + chr(0b1011 + 0o46) + chr(0b10 + 0o60) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(55) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110100) + chr(55), 27388 - 27380), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\x37' + chr(0b110110), 60939 - 60931), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(0b110010) + chr(2460 - 2405), 54307 - 54299), ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + '\x33' + chr(0b110001) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1366 - 1318) + chr(111) + chr(0b110001) + chr(0b10010 + 0o36) + '\x37', 36576 - 36568), ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + chr(0b100110 + 0o13) + '\060' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + '\x31' + chr(52) + chr(0b110000), 20622 - 20614), ehT0Px3KOsy9('\x30' + chr(111) + chr(55) + '\x30', 28845 - 28837), ehT0Px3KOsy9(chr(686 - 638) + chr(0b1101111) + chr(51) + chr(0b1100 + 0o47) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101101 + 0o5) + chr(0b10100 + 0o34) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100000 + 0o117) + '\x31' + '\066' + chr(0b100011 + 0o17), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11 + 0o57) + chr(0b1111 + 0o41) + chr(0b110001), 3170 - 3162), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110001) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(7945 - 7834) + chr(0b100100 + 0o17) + chr(389 - 341) + chr(0b100111 + 0o20), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10101 + 0o34) + chr(52) + chr(599 - 550), 50206 - 50198), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1986 - 1934) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\064' + chr(50), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\x36' + chr(0b100111 + 0o16), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b11111 + 0o27) + chr(0b10101 + 0o41), 27982 - 27974), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(3654 - 3543) + chr(55) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(0b11000 + 0o33) + chr(48) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(51) + chr(0b110110) + '\064', 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(1725 - 1670) + chr(1677 - 1624), 15401 - 15393), ehT0Px3KOsy9(chr(0b110000) + chr(0b110111 + 0o70) + chr(1493 - 1444) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(49) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(0b110001) + chr(0b110 + 0o57) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110111) + chr(1863 - 1808), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b110100) + chr(0b110010), 45067 - 45059), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + chr(0b110010) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x36' + chr(48), 26437 - 26429), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\067' + chr(0b100100 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2227 - 2178) + chr(325 - 270) + chr(0b101 + 0o62), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(901 - 851) + chr(0b110110) + chr(1619 - 1565), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(246 - 198) + '\157' + chr(0b10 + 0o63) + chr(1034 - 986), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'C'), chr(0b1011011 + 0o11) + chr(101) + chr(0b1100011) + chr(111) + chr(0b1000111 + 0o35) + chr(101))(chr(0b1110101) + chr(0b101010 + 0o112) + chr(0b1101 + 0o131) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ubDBM20ozlRL():
n4ljua2gi1Pr = H7_3imowh7Xs()
n4ljua2gi1Pr.msQMOP930n36 = ehT0Px3KOsy9(ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061', 43816 - 43808))
n4ljua2gi1Pr.r99iQzD4Y8i3 = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100010 + 0o20) + '\x30', 58965 - 58957)
n4ljua2gi1Pr.xwl05__wedRi = ehT0Px3KOsy9(chr(48) + chr(0b1011011 + 0o24) + chr(0b110001), 8)
n4ljua2gi1Pr.FjcovgoHM1LG = 0.1
n4ljua2gi1Pr.fewd3RWy_xMU = ehT0Px3KOsy9(chr(1242 - 1194) + '\157' + chr(1879 - 1831), ord("\x08"))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_base_vq1_16_nb1_packed_nda_b01_scales_dialog
|
def transformer_base_vq1_16_nb1_packed_nda_b01_scales_dialog():
"""Set of hyperparameters."""
hparams = transformer_base_vq1_16_nb1_packed_nda_b01_scales()
hparams.batch_size = 2048
hparams.max_length = 1024
hparams.filter_size = 3072
return hparams
|
python
|
def transformer_base_vq1_16_nb1_packed_nda_b01_scales_dialog():
"""Set of hyperparameters."""
hparams = transformer_base_vq1_16_nb1_packed_nda_b01_scales()
hparams.batch_size = 2048
hparams.max_length = 1024
hparams.filter_size = 3072
return hparams
|
[
"def",
"transformer_base_vq1_16_nb1_packed_nda_b01_scales_dialog",
"(",
")",
":",
"hparams",
"=",
"transformer_base_vq1_16_nb1_packed_nda_b01_scales",
"(",
")",
"hparams",
".",
"batch_size",
"=",
"2048",
"hparams",
".",
"max_length",
"=",
"1024",
"hparams",
".",
"filter_size",
"=",
"3072",
"return",
"hparams"
] |
Set of hyperparameters.
|
[
"Set",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1718-L1724
|
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('\060' + chr(9645 - 9534) + chr(0b11110 + 0o24) + chr(0b110011) + chr(2233 - 2183), 0o10), ehT0Px3KOsy9(chr(1204 - 1156) + '\x6f' + chr(0b1100 + 0o52) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(0b1101 + 0o45) + chr(50) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(10407 - 10296) + chr(0b10101 + 0o34) + chr(51) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(1403 - 1350) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + '\x34' + '\064', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(799 - 751) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1110 + 0o44) + chr(0b100000 + 0o25) + chr(0b10011 + 0o41), 41399 - 41391), ehT0Px3KOsy9('\060' + chr(8401 - 8290) + '\x32' + '\x37' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(9875 - 9764) + chr(2267 - 2218) + chr(314 - 266) + '\x36', 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1001000 + 0o47) + chr(0b110001) + '\x34' + chr(48), 0b1000), ehT0Px3KOsy9(chr(1880 - 1832) + '\157' + '\063' + '\x35' + chr(1273 - 1225), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2388 - 2337) + chr(0b110111) + chr(0b101000 + 0o11), 0b1000), ehT0Px3KOsy9(chr(620 - 572) + '\x6f' + chr(51) + chr(54) + chr(1149 - 1098), 0b1000), ehT0Px3KOsy9('\060' + chr(10967 - 10856) + '\x31' + chr(0b110010 + 0o3) + chr(0b110100), 38256 - 38248), ehT0Px3KOsy9('\060' + chr(111) + '\x32', 25460 - 25452), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + chr(390 - 339) + chr(0b110111 + 0o0) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(74 - 22) + chr(736 - 684), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11110 + 0o25) + chr(49), 62887 - 62879), ehT0Px3KOsy9('\x30' + '\x6f' + '\064' + chr(2473 - 2418), 0b1000), ehT0Px3KOsy9('\060' + chr(7829 - 7718) + chr(2491 - 2440) + chr(0b10001 + 0o46) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(2069 - 2016), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1111 + 0o140) + chr(1728 - 1677) + '\x34' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(950 - 899) + chr(49), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(2427 - 2377) + chr(0b110111) + chr(0b110111), 42992 - 42984), ehT0Px3KOsy9('\060' + '\x6f' + chr(2099 - 2048) + chr(0b100110 + 0o15) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(3144 - 3033) + '\x32' + chr(48) + chr(0b110100), 47916 - 47908), ehT0Px3KOsy9(chr(48) + chr(111) + chr(561 - 511) + '\x34' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b100000 + 0o23) + chr(282 - 228), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1082 - 1033) + '\065' + chr(0b100111 + 0o15), 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + '\061' + chr(784 - 730) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(1711 - 1661) + '\064' + chr(353 - 298), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(0b110001) + chr(2220 - 2171) + chr(52), 0b1000), ehT0Px3KOsy9(chr(199 - 151) + '\x6f' + chr(1423 - 1368) + chr(0b110101), 21180 - 21172), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(53) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\061' + chr(2152 - 2103), 0o10), ehT0Px3KOsy9(chr(276 - 228) + chr(0b1101111) + chr(0b110001) + chr(0b110111) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b100111 + 0o14) + chr(2626 - 2572), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\x35' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(4794 - 4683) + chr(0b10100 + 0o37) + chr(0b110100) + '\x32', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101100 + 0o11) + chr(877 - 829), 63502 - 63494)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4'), chr(1235 - 1135) + chr(1227 - 1126) + chr(0b110110 + 0o55) + chr(0b0 + 0o157) + chr(0b1100100) + chr(101))('\x75' + '\x74' + chr(2603 - 2501) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def JLyIe7CZMfxd():
n4ljua2gi1Pr = MK_dD6yZoeJZ()
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(0b11111 + 0o25) + chr(0b11001 + 0o27) + chr(0b100001 + 0o17) + '\x30', 0o10)
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9('\060' + chr(111) + chr(1293 - 1243) + chr(0b110000) + '\060' + chr(48), 0o10)
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x36' + chr(2005 - 1957) + chr(0b110000) + chr(0b100011 + 0o15), 47811 - 47803)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_ada_lmpackedbase_dialog
|
def transformer_ada_lmpackedbase_dialog():
"""Set of hyperparameters."""
hparams = transformer_base_vq_ada_32ex_packed()
hparams.max_length = 1024
hparams.ffn_layer = "dense_relu_dense"
hparams.batch_size = 4096
return hparams
|
python
|
def transformer_ada_lmpackedbase_dialog():
"""Set of hyperparameters."""
hparams = transformer_base_vq_ada_32ex_packed()
hparams.max_length = 1024
hparams.ffn_layer = "dense_relu_dense"
hparams.batch_size = 4096
return hparams
|
[
"def",
"transformer_ada_lmpackedbase_dialog",
"(",
")",
":",
"hparams",
"=",
"transformer_base_vq_ada_32ex_packed",
"(",
")",
"hparams",
".",
"max_length",
"=",
"1024",
"hparams",
".",
"ffn_layer",
"=",
"\"dense_relu_dense\"",
"hparams",
".",
"batch_size",
"=",
"4096",
"return",
"hparams"
] |
Set of hyperparameters.
|
[
"Set",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1736-L1742
|
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(0b100100 + 0o14) + chr(0b1101111) + chr(0b101110 + 0o5) + chr(2431 - 2377) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10101 + 0o34) + '\067' + chr(0b100011 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3379 - 3268) + '\x31' + chr(52) + chr(457 - 404), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\061', 0b1000), ehT0Px3KOsy9(chr(486 - 438) + chr(0b1101111) + chr(0b110100) + chr(0b100000 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x37' + chr(823 - 773), ord("\x08")), ehT0Px3KOsy9(chr(779 - 731) + chr(111) + chr(0b110010) + '\064' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(50) + chr(0b101100 + 0o7) + '\062', 4276 - 4268), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(903 - 854) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b1000 + 0o57) + chr(0b11011 + 0o26), 40090 - 40082), ehT0Px3KOsy9(chr(571 - 523) + '\x6f' + '\x31' + '\064' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + chr(50) + '\x33' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110100) + chr(0b1 + 0o63), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(0b110001), 20488 - 20480), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + '\x33' + chr(54) + '\067', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110111) + chr(0b110001), 53086 - 53078), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b110001) + chr(0b111 + 0o56) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(7335 - 7224) + chr(51) + '\x31' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1561 - 1513) + '\x6f' + chr(0b110011) + '\061' + chr(0b1010 + 0o46), 50424 - 50416), ehT0Px3KOsy9(chr(294 - 246) + chr(111) + chr(51) + chr(2330 - 2276) + chr(55), 8), ehT0Px3KOsy9(chr(318 - 270) + '\x6f' + chr(1654 - 1605) + '\067' + chr(2156 - 2108), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(52) + chr(547 - 498), 0b1000), ehT0Px3KOsy9(chr(502 - 454) + chr(0b11 + 0o154) + '\067' + chr(0b110011), 43193 - 43185), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1010 + 0o51) + '\065', 13565 - 13557), ehT0Px3KOsy9(chr(1529 - 1481) + chr(9652 - 9541) + chr(0b10000 + 0o42) + '\x31' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + '\x37' + chr(2536 - 2483), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\x37' + chr(0b100 + 0o55), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110011) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4323 - 4212) + chr(50) + chr(0b110000) + chr(1083 - 1028), 40565 - 40557), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\x31' + '\x31' + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\x31' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100000 + 0o17) + '\x32' + chr(0b11 + 0o60) + chr(0b110 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(747 - 699) + '\157' + '\062' + '\x31' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(55) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(1954 - 1843) + chr(0b110010) + chr(0b110011) + chr(0b110100), 8), ehT0Px3KOsy9('\x30' + chr(0b1011100 + 0o23) + '\x32' + chr(2214 - 2164) + chr(0b110001 + 0o2), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(979 - 930) + chr(245 - 191) + chr(0b11100 + 0o31), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101000 + 0o7) + chr(0b10100 + 0o37) + chr(50) + chr(2239 - 2189), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(4404 - 4293) + '\x33' + chr(2699 - 2645) + '\x32', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9'), chr(1615 - 1515) + '\x65' + '\143' + '\x6f' + chr(7627 - 7527) + chr(1007 - 906))(chr(117) + chr(0b1110100) + chr(102) + chr(1501 - 1456) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def syz4ZoMKspXn():
n4ljua2gi1Pr = H7_3imowh7Xs()
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(142 - 94) + chr(48) + chr(525 - 477), 0o10)
n4ljua2gi1Pr.SH5PH2T7PEUB = xafqLlk3kkUe(SXOLrMavuUCe(b'\x93\x1d\x0bjBe\xd0\xffg`\xe6\x00\xf9Jr\x92'), '\144' + chr(0b1100101) + chr(99) + '\x6f' + chr(0b10010 + 0o122) + '\145')(chr(12474 - 12357) + chr(6453 - 6337) + chr(102) + chr(0b100110 + 0o7) + chr(0b10010 + 0o46))
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(48) + '\157' + chr(2140 - 2091) + chr(1799 - 1751) + '\060' + chr(0b110000) + '\060', 0b1000)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_base_v3
|
def transformer_base_v3():
"""Base parameters for Transformer model."""
# Update parameters here, then occasionally cut a versioned set, e.g.
# transformer_base_v2.
hparams = transformer_base_v2()
hparams.optimizer_adam_beta2 = 0.997
# New way of specifying learning rate schedule.
# Equivalent to previous version.
hparams.learning_rate_schedule = (
"constant*linear_warmup*rsqrt_decay*rsqrt_hidden_size")
hparams.learning_rate_constant = 2.0
return hparams
|
python
|
def transformer_base_v3():
"""Base parameters for Transformer model."""
# Update parameters here, then occasionally cut a versioned set, e.g.
# transformer_base_v2.
hparams = transformer_base_v2()
hparams.optimizer_adam_beta2 = 0.997
# New way of specifying learning rate schedule.
# Equivalent to previous version.
hparams.learning_rate_schedule = (
"constant*linear_warmup*rsqrt_decay*rsqrt_hidden_size")
hparams.learning_rate_constant = 2.0
return hparams
|
[
"def",
"transformer_base_v3",
"(",
")",
":",
"# Update parameters here, then occasionally cut a versioned set, e.g.",
"# transformer_base_v2.",
"hparams",
"=",
"transformer_base_v2",
"(",
")",
"hparams",
".",
"optimizer_adam_beta2",
"=",
"0.997",
"# New way of specifying learning rate schedule.",
"# Equivalent to previous version.",
"hparams",
".",
"learning_rate_schedule",
"=",
"(",
"\"constant*linear_warmup*rsqrt_decay*rsqrt_hidden_size\"",
")",
"hparams",
".",
"learning_rate_constant",
"=",
"2.0",
"return",
"hparams"
] |
Base parameters for Transformer model.
|
[
"Base",
"parameters",
"for",
"Transformer",
"model",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1754-L1765
|
train
|
Base parameters for Transformer model.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + chr(0b0 + 0o63) + chr(1806 - 1752) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\064' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + chr(0b101110 + 0o5) + chr(0b10001 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b111011 + 0o64) + chr(176 - 126) + chr(50), 53632 - 53624), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(54) + chr(0b110011), 27200 - 27192), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + '\x33' + chr(145 - 91) + chr(1142 - 1088), 0o10), ehT0Px3KOsy9(chr(2206 - 2158) + '\x6f' + chr(0b110011) + '\060' + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110101) + chr(0b110100), 27919 - 27911), ehT0Px3KOsy9(chr(48) + chr(8537 - 8426) + chr(1942 - 1892) + chr(0b1000 + 0o53) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + '\060' + '\060', 12681 - 12673), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + '\062', 18039 - 18031), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101100 + 0o6) + chr(1047 - 995) + chr(980 - 928), 0b1000), ehT0Px3KOsy9(chr(2181 - 2133) + '\x6f' + chr(55) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + chr(0b110110) + chr(0b110111 + 0o0), 2842 - 2834), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\065' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1001000 + 0o47) + '\x37' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(3705 - 3594) + chr(0b110010) + chr(52) + '\067', 50813 - 50805), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(2527 - 2416) + '\x32' + chr(0b1 + 0o61) + chr(0b11011 + 0o30), 23081 - 23073), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + chr(0b110010) + '\066' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + '\x32' + chr(49) + '\x34', 0b1000), ehT0Px3KOsy9(chr(1981 - 1933) + chr(2063 - 1952) + chr(0b110010) + chr(1468 - 1413) + chr(50), 0o10), ehT0Px3KOsy9(chr(2215 - 2167) + chr(0b1101111) + chr(49) + '\x35', 61166 - 61158), ehT0Px3KOsy9(chr(0b110000) + chr(11394 - 11283) + '\x31' + chr(50) + '\064', 35874 - 35866), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b1111 + 0o50) + chr(49), 46629 - 46621), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1000 + 0o52) + chr(1150 - 1097) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + '\062' + '\067', 58830 - 58822), ehT0Px3KOsy9(chr(2261 - 2213) + chr(0b1101111) + chr(0b110001) + chr(0b110011) + chr(1966 - 1913), 7644 - 7636), ehT0Px3KOsy9('\x30' + chr(1647 - 1536) + '\061' + '\067' + chr(0b11101 + 0o30), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b110100) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10011 + 0o40) + '\x33' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1740 - 1692) + chr(0b1011111 + 0o20) + chr(1245 - 1196) + chr(49) + chr(49), 36274 - 36266), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b101111 + 0o100) + chr(0b1 + 0o62) + chr(575 - 520) + chr(0b101 + 0o55), 53170 - 53162), ehT0Px3KOsy9(chr(0b110000) + chr(6562 - 6451) + chr(0b110010) + chr(54) + chr(51), 58844 - 58836), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + chr(0b10011 + 0o40) + chr(55) + chr(2697 - 2642), 0o10), ehT0Px3KOsy9(chr(1171 - 1123) + '\157' + '\061' + '\x32' + '\062', 39240 - 39232), ehT0Px3KOsy9(chr(2072 - 2024) + chr(111) + chr(0b10100 + 0o36) + chr(48) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1972 - 1924) + '\x6f' + '\x31' + chr(0b110001) + '\066', 40194 - 40186), ehT0Px3KOsy9(chr(482 - 434) + chr(0b1101111) + chr(521 - 470) + chr(0b110000) + chr(0b1000 + 0o55), 0b1000), ehT0Px3KOsy9('\x30' + chr(11341 - 11230) + '\x33' + chr(2243 - 2191) + '\x32', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(406 - 358) + chr(2752 - 2641) + chr(0b10 + 0o63) + chr(48), 62034 - 62026)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc'), chr(5955 - 5855) + '\145' + chr(99) + chr(7205 - 7094) + chr(0b1100100) + chr(0b1111 + 0o126))(chr(117) + chr(9176 - 9060) + chr(0b1100110) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def YKiIA8zPhNFb():
n4ljua2gi1Pr = mul6_zABiAD2()
n4ljua2gi1Pr.CBOVKNT0M9cG = 0.997
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\x8dqa\x07a\x98\xb2\x86\xf2)l\xc1ZE\xf5I\xc6\xe1\xd9\xf9\xca\'&\xca\xdce)"\xc1\xba*\x9b\xca\xd5 \xf7?\xb7\x96\xad\x8avv\x17e\x98\x99\xdf\xf7:g'), chr(0b1100100) + '\145' + '\x63' + '\157' + chr(0b1001 + 0o133) + '\x65')('\165' + chr(6982 - 6866) + chr(102) + chr(1802 - 1757) + '\070')
n4ljua2gi1Pr.Ot9HUjnkxXA_ = 2.0
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_big
|
def transformer_big():
"""HParams for transformer big model on WMT."""
hparams = transformer_base()
hparams.hidden_size = 1024
hparams.filter_size = 4096
# Reduce batch size to 2048 from 4096 to be able to train the model on a GPU
# with 12 GB memory. For example, NVIDIA TITAN V GPU.
hparams.batch_size = 2048
hparams.num_heads = 16
hparams.layer_prepostprocess_dropout = 0.3
return hparams
|
python
|
def transformer_big():
"""HParams for transformer big model on WMT."""
hparams = transformer_base()
hparams.hidden_size = 1024
hparams.filter_size = 4096
# Reduce batch size to 2048 from 4096 to be able to train the model on a GPU
# with 12 GB memory. For example, NVIDIA TITAN V GPU.
hparams.batch_size = 2048
hparams.num_heads = 16
hparams.layer_prepostprocess_dropout = 0.3
return hparams
|
[
"def",
"transformer_big",
"(",
")",
":",
"hparams",
"=",
"transformer_base",
"(",
")",
"hparams",
".",
"hidden_size",
"=",
"1024",
"hparams",
".",
"filter_size",
"=",
"4096",
"# Reduce batch size to 2048 from 4096 to be able to train the model on a GPU",
"# with 12 GB memory. For example, NVIDIA TITAN V GPU.",
"hparams",
".",
"batch_size",
"=",
"2048",
"hparams",
".",
"num_heads",
"=",
"16",
"hparams",
".",
"layer_prepostprocess_dropout",
"=",
"0.3",
"return",
"hparams"
] |
HParams for transformer big model on WMT.
|
[
"HParams",
"for",
"transformer",
"big",
"model",
"on",
"WMT",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1776-L1786
|
train
|
HParams for transformer big model on WMT.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\x32' + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101 + 0o142) + chr(1160 - 1108) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(9836 - 9725) + chr(0b100010 + 0o21) + chr(52) + chr(585 - 533), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(53) + chr(2469 - 2418), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1111 + 0o140) + chr(1017 - 968) + chr(0b110000 + 0o2) + chr(568 - 520), 38585 - 38577), ehT0Px3KOsy9(chr(2124 - 2076) + '\157' + chr(651 - 601) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1735 - 1685) + chr(0b100001 + 0o20) + chr(0b0 + 0o66), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1 + 0o60) + chr(51) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(53) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b100100 + 0o20), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(0b11010 + 0o30) + chr(0b10001 + 0o40) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1242 - 1194) + chr(3383 - 3272) + chr(0b11101 + 0o30) + chr(2055 - 2007), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(4920 - 4809) + chr(0b110011) + '\x36' + chr(0b110111), 2438 - 2430), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b100110 + 0o15) + chr(0b110000 + 0o2), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(2693 - 2641) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1100 + 0o143) + chr(0b110011) + chr(2727 - 2672) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b110010) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11110 + 0o25) + chr(2752 - 2698) + chr(0b110000 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + '\063' + chr(52) + '\065', 0b1000), ehT0Px3KOsy9(chr(1252 - 1204) + chr(0b1101111) + chr(0b110010) + '\064' + '\066', 0b1000), ehT0Px3KOsy9(chr(1296 - 1248) + '\157' + chr(0b101010 + 0o10) + chr(51) + chr(1422 - 1369), 25167 - 25159), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\063' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\x36' + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110010) + chr(2106 - 2055), 8), ehT0Px3KOsy9(chr(48) + chr(0b1000000 + 0o57) + chr(0b110010) + chr(0b100110 + 0o20) + chr(1944 - 1896), 54948 - 54940), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\x37' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1001000 + 0o47) + '\061' + chr(55) + '\065', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b1010 + 0o47), 48547 - 48539), ehT0Px3KOsy9('\x30' + '\157' + chr(1204 - 1155) + chr(118 - 68) + '\x36', 7347 - 7339), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b110011) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(50) + '\063' + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b10010 + 0o37) + chr(1075 - 1024) + chr(0b110111), 35163 - 35155), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\060' + chr(0b110010 + 0o0), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(1362 - 1312) + chr(1240 - 1189) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2905 - 2794) + chr(99 - 49) + chr(0b110010) + chr(506 - 453), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\x33' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(681 - 633) + chr(111) + chr(0b110010) + chr(0b110001) + chr(2283 - 2233), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(52) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b100100 + 0o20) + '\x33', 3451 - 3443), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(7664 - 7553) + chr(0b101 + 0o56) + chr(0b101 + 0o57) + '\x30', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(5635 - 5524) + chr(0b101111 + 0o6) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'}'), '\x64' + '\145' + '\143' + chr(111) + chr(0b100000 + 0o104) + chr(0b1011100 + 0o11))(chr(117) + chr(8072 - 7956) + chr(102) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nN_LPsMGDqVG():
n4ljua2gi1Pr = ciSuZsJ0n_gI()
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(1502 - 1454) + chr(0b1101111 + 0o0) + '\x32' + chr(1055 - 1007) + '\060' + chr(0b1100 + 0o44), 0b1000)
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(48) + '\x30' + chr(0b110000) + '\x30', 0b1000)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10 + 0o62) + chr(1875 - 1827) + chr(0b110000) + chr(0b10010 + 0o36), ord("\x08"))
n4ljua2gi1Pr.vRVqPOZ1hUG7 = ehT0Px3KOsy9(chr(783 - 735) + chr(0b1101111) + chr(50) + chr(2250 - 2202), 8)
n4ljua2gi1Pr.RW_xSzp18UeS = 0.3
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_tall
|
def transformer_tall():
"""Hparams for transformer on LM for pretraining/finetuning/mixing."""
hparams = transformer_base()
hparams.batch_size = 2048
hparams.hidden_size = 768
hparams.filter_size = 3072
hparams.num_hidden_layers = 12
hparams.num_heads = 12
hparams.label_smoothing = 0.0
hparams.max_length = 1024
hparams.eval_drop_long_sequences = True
hparams.multiproblem_mixing_schedule = "pretrain"
hparams.multiproblem_vocab_size = 65536
hparams.clip_grad_norm = 1.0
return hparams
|
python
|
def transformer_tall():
"""Hparams for transformer on LM for pretraining/finetuning/mixing."""
hparams = transformer_base()
hparams.batch_size = 2048
hparams.hidden_size = 768
hparams.filter_size = 3072
hparams.num_hidden_layers = 12
hparams.num_heads = 12
hparams.label_smoothing = 0.0
hparams.max_length = 1024
hparams.eval_drop_long_sequences = True
hparams.multiproblem_mixing_schedule = "pretrain"
hparams.multiproblem_vocab_size = 65536
hparams.clip_grad_norm = 1.0
return hparams
|
[
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"(",
")",
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")",
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"=",
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"hidden_size",
"=",
"768",
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"=",
"3072",
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"=",
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"=",
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"label_smoothing",
"=",
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"=",
"1024",
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"=",
"True",
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"=",
"65536",
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".",
"clip_grad_norm",
"=",
"1.0",
"return",
"hparams"
] |
Hparams for transformer on LM for pretraining/finetuning/mixing.
|
[
"Hparams",
"for",
"transformer",
"on",
"LM",
"for",
"pretraining",
"/",
"finetuning",
"/",
"mixing",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1790-L1804
|
train
|
Hparams for transformer on LM for pretraining finetuning mixing.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + chr(0b10 + 0o65) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(496 - 446) + chr(0b110100) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(630 - 582) + chr(111) + chr(0b101110 + 0o4) + chr(54) + '\065', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\x31' + '\064', 20233 - 20225), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b111110 + 0o61) + chr(0b110010) + '\062' + chr(129 - 74), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(54) + chr(0b11010 + 0o32), 0b1000), ehT0Px3KOsy9(chr(915 - 867) + chr(0b1101111) + chr(208 - 159) + chr(0b110010 + 0o3) + '\066', 28492 - 28484), ehT0Px3KOsy9(chr(896 - 848) + chr(111) + chr(0b10001 + 0o42) + chr(2194 - 2144) + chr(1907 - 1856), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(54) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2213 - 2164) + chr(1325 - 1275) + '\x33', 17597 - 17589), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(559 - 505) + chr(0b101111 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b100111 + 0o20), 43809 - 43801), ehT0Px3KOsy9(chr(851 - 803) + chr(0b1101111) + '\063' + chr(52) + chr(2000 - 1947), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(0b10001 + 0o42) + '\066' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\063' + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(0b101000 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + chr(1931 - 1881) + chr(0b1001 + 0o54) + chr(0b110010), 50293 - 50285), ehT0Px3KOsy9(chr(966 - 918) + '\x6f' + '\061' + '\x32' + chr(715 - 663), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b10101 + 0o132) + '\x34' + chr(0b10011 + 0o42), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + '\x33' + chr(0b110010) + '\x33', 8), ehT0Px3KOsy9(chr(48) + chr(4114 - 4003) + '\061' + chr(53) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(0b110010) + chr(0b110010) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1347 - 1292) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7785 - 7674) + '\x33' + '\x36' + chr(291 - 242), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b111000 + 0o67) + chr(0b110001) + chr(0b110111) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + '\062' + '\x30' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b110 + 0o55) + chr(48), 55718 - 55710), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(52) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(836 - 788) + chr(0b1101111) + chr(2220 - 2165) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + chr(0b110011) + chr(52) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(3123 - 3012) + '\x33' + '\x35' + chr(556 - 502), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b110000 + 0o3) + '\066' + chr(0b110010 + 0o5), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010111 + 0o30) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11101 + 0o25) + '\x35' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1011000 + 0o27) + chr(2338 - 2287) + chr(1503 - 1450) + '\x35', 65292 - 65284), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2437 - 2386) + chr(0b100010 + 0o24) + '\061', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(52) + chr(2113 - 2065), 8), ehT0Px3KOsy9(chr(2227 - 2179) + chr(111) + chr(0b110010) + '\067' + chr(0b11101 + 0o27), 29631 - 29623), ehT0Px3KOsy9('\060' + '\x6f' + chr(589 - 540) + '\067' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3827 - 3716) + chr(51) + chr(54) + chr(0b110011), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1501 - 1453) + '\x6f' + chr(53) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x13'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1010010 + 0o22) + chr(0b1100101))(chr(0b1110101) + chr(0b1100111 + 0o15) + '\146' + chr(0b101101) + chr(0b100111 + 0o21)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wi589e4oNDOt():
n4ljua2gi1Pr = ciSuZsJ0n_gI()
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110100) + chr(0b1000 + 0o50) + '\060' + '\x30', 0b1000)
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(0b11010 + 0o27) + chr(0b110100) + chr(48) + chr(48), 0o10)
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9('\060' + '\157' + chr(0b110110) + chr(947 - 899) + '\x30' + '\x30', 0b1000)
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9('\060' + '\157' + chr(0b101110 + 0o3) + chr(52), ord("\x08"))
n4ljua2gi1Pr.vRVqPOZ1hUG7 = ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(49) + chr(0b110100), 8)
n4ljua2gi1Pr.FSjUgdaczzRk = 0.0
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + '\x32' + '\x30' + chr(0b10101 + 0o33) + chr(0b101010 + 0o6), 0o10)
n4ljua2gi1Pr.n5sZSNr92T7V = ehT0Px3KOsy9('\060' + chr(0b1010110 + 0o31) + chr(0b1010 + 0o47), 0b1000)
n4ljua2gi1Pr.IZLStV1pVeiP = xafqLlk3kkUe(SXOLrMavuUCe(b'M\xd2\xd08\xe5\x95\x07\xbd'), '\144' + chr(0b1100101) + chr(0b100 + 0o137) + '\157' + '\144' + chr(0b101101 + 0o70))(chr(0b111001 + 0o74) + '\164' + chr(0b1010001 + 0o25) + chr(0b110 + 0o47) + chr(2602 - 2546))
n4ljua2gi1Pr.uPUHc62zZMET = ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(50) + chr(0b1111 + 0o41) + chr(0b110000) + chr(0b101110 + 0o2) + '\x30' + chr(0b110000), 0b1000)
n4ljua2gi1Pr.SdNSZNVkVjLh = 1.0
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_tall_finetune_tied
|
def transformer_tall_finetune_tied():
"""Tied means fine-tune CNN/DM summarization as LM."""
hparams = transformer_tall()
hparams.multiproblem_max_input_length = 750
hparams.multiproblem_max_target_length = 100
hparams.multiproblem_schedule_max_examples = 0
hparams.learning_rate_schedule = ("linear_warmup*constant*cosdecay")
hparams.learning_rate_constant = 5e-5
hparams.learning_rate_warmup_steps = 100
# Set train steps to learning_rate_decay_steps or less
hparams.learning_rate_decay_steps = 80000
hparams.multiproblem_target_eval_only = True
hparams.multiproblem_reweight_label_loss = True
hparams.multiproblem_label_weight = 1.0
hparams.optimizer = "true_adam"
return hparams
|
python
|
def transformer_tall_finetune_tied():
"""Tied means fine-tune CNN/DM summarization as LM."""
hparams = transformer_tall()
hparams.multiproblem_max_input_length = 750
hparams.multiproblem_max_target_length = 100
hparams.multiproblem_schedule_max_examples = 0
hparams.learning_rate_schedule = ("linear_warmup*constant*cosdecay")
hparams.learning_rate_constant = 5e-5
hparams.learning_rate_warmup_steps = 100
# Set train steps to learning_rate_decay_steps or less
hparams.learning_rate_decay_steps = 80000
hparams.multiproblem_target_eval_only = True
hparams.multiproblem_reweight_label_loss = True
hparams.multiproblem_label_weight = 1.0
hparams.optimizer = "true_adam"
return hparams
|
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] |
Tied means fine-tune CNN/DM summarization as LM.
|
[
"Tied",
"means",
"fine",
"-",
"tune",
"CNN",
"/",
"DM",
"summarization",
"as",
"LM",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1808-L1823
|
train
|
Tied means fine - tune CNN or DM summarization as LM.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(54) + '\x30', 14446 - 14438), ehT0Px3KOsy9(chr(1271 - 1223) + chr(0b110101 + 0o72) + '\063' + chr(122 - 70) + chr(48), 10330 - 10322), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(51) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\064' + chr(50), 6642 - 6634), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1 + 0o62) + chr(1822 - 1772) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b1011 + 0o46) + '\x32', 41114 - 41106), ehT0Px3KOsy9(chr(0b110000) + chr(0b11100 + 0o123) + chr(0b11110 + 0o25) + chr(51) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111 + 0o150) + chr(2131 - 2080) + chr(1174 - 1120) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b10 + 0o155) + chr(1939 - 1889) + '\x33' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b11100 + 0o123) + '\x37' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\064' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b1101 + 0o51) + chr(0b100010 + 0o20), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1100 + 0o143) + chr(1467 - 1416) + chr(621 - 571) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b100001 + 0o116) + '\x32' + chr(847 - 799) + chr(1718 - 1669), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1111 + 0o140) + '\x33' + '\x34' + chr(2266 - 2218), 8), ehT0Px3KOsy9('\060' + chr(7611 - 7500) + chr(0b11100 + 0o25) + chr(1567 - 1519) + chr(0b110111), 22433 - 22425), ehT0Px3KOsy9(chr(48) + chr(4894 - 4783) + chr(51) + chr(210 - 161), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + '\062' + chr(1656 - 1603) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(7755 - 7644) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10101 + 0o35) + '\067' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + '\061' + chr(3014 - 2959) + chr(0b110010), 33847 - 33839), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(1612 - 1563) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(0b110001) + chr(50) + chr(0b101101 + 0o7), 0o10), ehT0Px3KOsy9('\060' + chr(9460 - 9349) + chr(0b110001) + chr(0b110011) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(146 - 98) + chr(111) + chr(0b100 + 0o57) + '\062' + chr(0b100111 + 0o20), 8), ehT0Px3KOsy9(chr(1447 - 1399) + chr(111) + chr(0b110010) + '\062' + '\063', 29290 - 29282), ehT0Px3KOsy9(chr(289 - 241) + chr(0b1010010 + 0o35) + chr(734 - 685) + chr(0b110000) + chr(1212 - 1161), 0b1000), ehT0Px3KOsy9(chr(771 - 723) + chr(11972 - 11861) + '\x35' + chr(0b10 + 0o61), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100101 + 0o16) + chr(0b110101 + 0o1) + chr(52), 0o10), ehT0Px3KOsy9(chr(272 - 224) + '\157' + chr(0b110111) + '\x35', 52734 - 52726), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + chr(0b110011) + chr(48) + chr(0b110010), 21866 - 21858), ehT0Px3KOsy9(chr(48) + chr(7003 - 6892) + chr(817 - 767) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + '\062' + '\060' + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + chr(10857 - 10746) + chr(51) + '\065' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(709 - 659) + chr(0b110111), 8), ehT0Px3KOsy9(chr(605 - 557) + chr(0b1010000 + 0o37) + '\x31' + chr(2572 - 2521) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(122 - 73) + chr(0b110000) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110110 + 0o71) + chr(50) + chr(0b1101 + 0o46) + chr(841 - 791), 0o10), ehT0Px3KOsy9(chr(727 - 679) + chr(0b1101011 + 0o4) + chr(51) + '\x33' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(7331 - 7220) + chr(0b1011 + 0o50) + chr(1508 - 1459) + '\066', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + chr(0b101000 + 0o10), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xde'), chr(100) + '\x65' + '\143' + chr(0b1100001 + 0o16) + chr(0b1100100) + chr(101))(chr(117) + '\x74' + chr(0b1100110) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def A8GVyQ3KXRTh():
n4ljua2gi1Pr = wi589e4oNDOt()
n4ljua2gi1Pr.Xp0efnq4QYHp = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\x33' + '\x35' + chr(1298 - 1244), 0o10)
n4ljua2gi1Pr.jXbMKJJD1yaf = ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b10001 + 0o43) + '\x34', 29316 - 29308)
n4ljua2gi1Pr.HU5KTi3EiBWH = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(941 - 893), 57309 - 57301)
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b"\x9c\x892\xc7\xb6\xb8\x82\x84\xffI\x8e\xc7\xa0\xab\x83(w\xd8v\xdc\x14\xfa~=\xb8\xe0'N\x97\\\xbb"), '\x64' + chr(0b1001111 + 0o26) + chr(0b1100011) + chr(0b1011001 + 0o26) + chr(0b1100100) + chr(2025 - 1924))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b110 + 0o47) + chr(0b111000))
n4ljua2gi1Pr.Ot9HUjnkxXA_ = 5e-05
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9('\x30' + '\157' + chr(1692 - 1643) + chr(0b110000 + 0o4) + chr(52), 8)
n4ljua2gi1Pr.YBAB1XyoxOc5 = ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\x33' + chr(0b110 + 0o56) + chr(0b1111 + 0o43) + chr(710 - 662) + chr(48), 18005 - 17997)
n4ljua2gi1Pr.sTjfKcmJXwf9 = ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + chr(0b10111 + 0o32), ord("\x08"))
n4ljua2gi1Pr.cglLOvz89Uil = ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(0b110001), 8)
n4ljua2gi1Pr.wMKlDNJk2Gst = 1.0
n4ljua2gi1Pr.XdKNcYRObPK3 = xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\x92)\xc7\x88\xab\xb9\x92\xf3'), '\144' + chr(2823 - 2722) + chr(0b1001101 + 0o26) + chr(0b1110 + 0o141) + '\x64' + '\145')(chr(117) + chr(9684 - 9568) + chr(102) + '\055' + '\070')
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_tall_finetune_uniencdec
|
def transformer_tall_finetune_uniencdec():
"""Fine-tune CNN/DM with a unidirectional encoder and decoder."""
hparams = transformer_tall()
hparams.max_input_seq_length = 750
hparams.max_target_seq_length = 100
hparams.optimizer = "true_adam"
hparams.learning_rate_schedule = ("linear_warmup*constant*cosdecay")
hparams.learning_rate_decay_steps = 80000
hparams.learning_rate_constant = 5e-5
hparams.learning_rate_warmup_steps = 100
hparams.unidirectional_encoder = True
return hparams
|
python
|
def transformer_tall_finetune_uniencdec():
"""Fine-tune CNN/DM with a unidirectional encoder and decoder."""
hparams = transformer_tall()
hparams.max_input_seq_length = 750
hparams.max_target_seq_length = 100
hparams.optimizer = "true_adam"
hparams.learning_rate_schedule = ("linear_warmup*constant*cosdecay")
hparams.learning_rate_decay_steps = 80000
hparams.learning_rate_constant = 5e-5
hparams.learning_rate_warmup_steps = 100
hparams.unidirectional_encoder = True
return hparams
|
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] |
Fine-tune CNN/DM with a unidirectional encoder and decoder.
|
[
"Fine",
"-",
"tune",
"CNN",
"/",
"DM",
"with",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1846-L1857
|
train
|
Fine - tune CNN / DM with a unidirectional 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(chr(0b110000) + chr(438 - 327) + chr(0b0 + 0o64) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + chr(49) + chr(0b110000) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x36' + '\x37', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(54) + chr(0b10101 + 0o37), 0b1000), ehT0Px3KOsy9(chr(187 - 139) + chr(0b1101111) + chr(2400 - 2349) + '\066' + '\062', 7164 - 7156), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b110011) + chr(0b110000 + 0o4), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011011 + 0o24) + chr(281 - 232) + chr(1388 - 1334) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11457 - 11346) + chr(0b110011) + chr(0b110000) + chr(281 - 231), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b11101 + 0o25) + chr(0b101101 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1439 - 1388) + chr(0b11000 + 0o36) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x31' + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b110111) + chr(0b110 + 0o54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(54) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(57 - 9) + '\x6f' + '\063' + chr(51) + chr(0b101010 + 0o15), 0b1000), ehT0Px3KOsy9(chr(1760 - 1712) + '\157' + chr(0b110011) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(1912 - 1864) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1455 - 1407) + '\x6f' + chr(0b110011) + '\x31' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\066', 30894 - 30886), ehT0Px3KOsy9(chr(1358 - 1310) + chr(3763 - 3652) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\061' + '\060' + chr(0b101010 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + chr(2484 - 2433) + chr(0b110111) + chr(0b110000), 14976 - 14968), ehT0Px3KOsy9(chr(48) + chr(0b1100011 + 0o14) + chr(1731 - 1682) + chr(0b110001) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + '\062' + chr(0b110110) + '\x36', 20630 - 20622), ehT0Px3KOsy9('\x30' + chr(0b100010 + 0o115) + '\x33' + chr(2094 - 2041) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\063' + chr(0b101001 + 0o14), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(1570 - 1521) + chr(1929 - 1879), 24417 - 24409), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b110010) + '\x31' + chr(0b1100 + 0o51), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(49) + '\065', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1011 + 0o51) + chr(0b101011 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1 + 0o156) + '\x32' + chr(2077 - 2024) + chr(55), 0o10), ehT0Px3KOsy9(chr(1545 - 1497) + chr(0b1101111) + chr(0b110001) + '\063' + chr(52), 8), ehT0Px3KOsy9(chr(912 - 864) + chr(0b111010 + 0o65) + chr(1356 - 1307) + chr(0b100110 + 0o20) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(349 - 301) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1001101 + 0o42) + '\x31' + '\067', 59059 - 59051), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + '\063' + '\066' + chr(549 - 494), 0o10), ehT0Px3KOsy9(chr(320 - 272) + chr(111) + '\x32' + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7968 - 7857) + '\x32' + chr(2418 - 2366) + chr(0b11111 + 0o27), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11111 + 0o23) + chr(485 - 437), ord("\x08")), ehT0Px3KOsy9(chr(518 - 470) + '\157' + chr(0b101000 + 0o14) + chr(1467 - 1418), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(387 - 339) + chr(111) + '\x35' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\t'), '\144' + '\x65' + chr(0b110010 + 0o61) + chr(0b11111 + 0o120) + '\x64' + '\x65')(chr(0b1110101) + chr(0b100100 + 0o120) + chr(102) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GG00Wa7q4vh3():
n4ljua2gi1Pr = wi589e4oNDOt()
n4ljua2gi1Pr.xa50HGLsAIaS = ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(429 - 378) + chr(53) + chr(54), ord("\x08"))
n4ljua2gi1Pr.uJutLB5DfPmB = ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(1352 - 1241) + '\x31' + '\064' + chr(112 - 60), 0o10)
n4ljua2gi1Pr.XdKNcYRObPK3 = xafqLlk3kkUe(SXOLrMavuUCe(b'S6B\x11\xad=\x11\xa3\xb9'), '\x64' + chr(0b1100101) + chr(0b1000100 + 0o37) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b101010 + 0o3) + chr(56))
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'K-Y\x11\x93.*\xb5\xb5\x84\xe2\xcf\x06\xf5x-\xa3mw!\x969\x9c\x8b\xb2\xb9`\xe8\xae@\xd6'), chr(3072 - 2972) + '\x65' + chr(9307 - 9208) + chr(0b1101111) + chr(8965 - 8865) + '\145')(chr(0b1110101) + chr(0b1110100) + '\146' + chr(978 - 933) + chr(0b111000))
n4ljua2gi1Pr.YBAB1XyoxOc5 = ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101100 + 0o3) + chr(50) + '\x33' + '\064' + chr(307 - 257) + '\x30' + chr(0b10 + 0o56), 52397 - 52389)
n4ljua2gi1Pr.Ot9HUjnkxXA_ = 5e-05
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x34' + '\x34', 8)
n4ljua2gi1Pr.tg4HL0Yvqf7C = ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + '\x31', 51240 - 51232)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_tall_train_uniencdec
|
def transformer_tall_train_uniencdec():
"""Train CNN/DM with a unidirectional encoder and decoder."""
hparams = transformer_tall()
hparams.max_input_seq_length = 750
hparams.max_target_seq_length = 100
hparams.optimizer = "true_adam"
hparams.learning_rate_schedule = ("linear_warmup*constant*cosdecay")
hparams.learning_rate_decay_steps = 150000
hparams.learning_rate_constant = 2e-4
hparams.unidirectional_encoder = True
return hparams
|
python
|
def transformer_tall_train_uniencdec():
"""Train CNN/DM with a unidirectional encoder and decoder."""
hparams = transformer_tall()
hparams.max_input_seq_length = 750
hparams.max_target_seq_length = 100
hparams.optimizer = "true_adam"
hparams.learning_rate_schedule = ("linear_warmup*constant*cosdecay")
hparams.learning_rate_decay_steps = 150000
hparams.learning_rate_constant = 2e-4
hparams.unidirectional_encoder = True
return hparams
|
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"hparams",
"=",
"transformer_tall",
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")",
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"max_input_seq_length",
"=",
"750",
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"=",
"100",
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"optimizer",
"=",
"\"true_adam\"",
"hparams",
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"learning_rate_schedule",
"=",
"(",
"\"linear_warmup*constant*cosdecay\"",
")",
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"learning_rate_constant",
"=",
"2e-4",
"hparams",
".",
"unidirectional_encoder",
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"True",
"return",
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] |
Train CNN/DM with a unidirectional encoder and decoder.
|
[
"Train",
"CNN",
"/",
"DM",
"with",
"a",
"unidirectional",
"encoder",
"and",
"decoder",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1861-L1871
|
train
|
Train CNN and DM with a unidirectional 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(chr(48) + chr(5983 - 5872) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10110 + 0o131) + '\x32' + chr(51) + chr(372 - 318), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\063' + chr(55) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(852 - 804) + chr(0b110110 + 0o71) + '\x33' + chr(0b100110 + 0o14) + '\x32', 13378 - 13370), ehT0Px3KOsy9(chr(1336 - 1288) + chr(0b1000010 + 0o55) + '\067' + '\063', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(1976 - 1925) + chr(50) + chr(0b110 + 0o56), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(2420 - 2367) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b100001 + 0o116) + '\061' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(2782 - 2728) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + '\x32' + chr(0b110010) + chr(1713 - 1663), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + '\063' + chr(2375 - 2323) + '\064', 38827 - 38819), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1733 - 1684) + chr(55) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11001 + 0o126) + chr(1433 - 1382) + chr(2169 - 2115) + chr(0b110 + 0o52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011101 + 0o22) + chr(2184 - 2134) + '\067' + chr(0b110001), 6795 - 6787), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110010) + chr(53), 5916 - 5908), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + '\064' + chr(0b11111 + 0o26), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3742 - 3631) + chr(0b110010) + chr(1641 - 1588) + chr(0b110010 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(55), 0o10), ehT0Px3KOsy9(chr(1759 - 1711) + chr(0b1001110 + 0o41) + '\063' + chr(48) + chr(0b100 + 0o55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b10000 + 0o40), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b100011 + 0o21) + '\x37', 34425 - 34417), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + chr(49) + chr(2023 - 1973), 48655 - 48647), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(339 - 288) + '\066', 50809 - 50801), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\067' + chr(1253 - 1205), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\067' + chr(0b10000 + 0o45), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1726 - 1675) + chr(48) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100 + 0o56) + '\x31' + chr(0b10001 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(0b10 + 0o57) + '\066', 48254 - 48246), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101111 + 0o4) + chr(778 - 729) + chr(48), 64834 - 64826), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10111 + 0o33) + chr(1717 - 1662) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b110010) + chr(50), 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(0b110101) + chr(88 - 33), 56564 - 56556), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b110101) + chr(0b110101), 18798 - 18790), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(985 - 935) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(0b11001 + 0o30) + '\x36' + '\x34', 8), ehT0Px3KOsy9(chr(0b110000) + chr(3375 - 3264) + chr(963 - 913) + chr(217 - 169) + '\x32', 26565 - 26557), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(889 - 839) + chr(54) + chr(0b10 + 0o56), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x35' + chr(48), 1538 - 1530)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b','), chr(0b1100100) + '\145' + chr(1365 - 1266) + '\x6f' + chr(0b1000 + 0o134) + '\x65')('\165' + '\164' + chr(0b1100110) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aK8wvWHDPSau():
n4ljua2gi1Pr = wi589e4oNDOt()
n4ljua2gi1Pr.xa50HGLsAIaS = ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\x33' + '\065' + '\x36', 24349 - 24341)
n4ljua2gi1Pr.uJutLB5DfPmB = ehT0Px3KOsy9(chr(1882 - 1834) + '\x6f' + '\x31' + chr(1104 - 1052) + chr(0b110100), 0b1000)
n4ljua2gi1Pr.XdKNcYRObPK3 = xafqLlk3kkUe(SXOLrMavuUCe(b'v\xec\x8b\xb7d\xb5b\xccb'), '\144' + '\145' + chr(0b1100011) + '\x6f' + chr(100) + '\145')('\165' + '\164' + chr(102) + chr(1227 - 1182) + chr(1747 - 1691))
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'n\xf7\x90\xb7Z\xa6Y\xdan\x06\xff\x91\r\xda\xda\xba\x8b\xdds\xa0f\xd3 }\x17\x0ex\xa6\xe9o\xb1'), chr(100) + chr(0b1010011 + 0o22) + chr(0b11000 + 0o113) + '\157' + chr(2138 - 2038) + '\145')(chr(0b1110101) + chr(0b1101 + 0o147) + chr(840 - 738) + chr(45) + chr(0b100111 + 0o21))
n4ljua2gi1Pr.YBAB1XyoxOc5 = ehT0Px3KOsy9(chr(48) + '\157' + chr(748 - 696) + chr(0b110100) + chr(0b110100) + chr(0b1100 + 0o53) + '\x36' + '\x30', 2399 - 2391)
n4ljua2gi1Pr.Ot9HUjnkxXA_ = 0.0002
n4ljua2gi1Pr.tg4HL0Yvqf7C = ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(0b110001), 12005 - 11997)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_tall_finetune_textclass
|
def transformer_tall_finetune_textclass():
"""Hparams for transformer on LM for finetuning on text class problems."""
hparams = transformer_tall()
hparams.learning_rate_constant = 6.25e-5
hparams.learning_rate_schedule = ("linear_warmup*constant*linear_decay")
hparams.multiproblem_schedule_max_examples = 0
hparams.multiproblem_target_eval_only = True
hparams.learning_rate_warmup_steps = 50
# Set train steps to learning_rate_decay_steps or less
hparams.learning_rate_decay_steps = 25000
hparams.multiproblem_reweight_label_loss = True
hparams.multiproblem_label_weight = 0.95
return hparams
|
python
|
def transformer_tall_finetune_textclass():
"""Hparams for transformer on LM for finetuning on text class problems."""
hparams = transformer_tall()
hparams.learning_rate_constant = 6.25e-5
hparams.learning_rate_schedule = ("linear_warmup*constant*linear_decay")
hparams.multiproblem_schedule_max_examples = 0
hparams.multiproblem_target_eval_only = True
hparams.learning_rate_warmup_steps = 50
# Set train steps to learning_rate_decay_steps or less
hparams.learning_rate_decay_steps = 25000
hparams.multiproblem_reweight_label_loss = True
hparams.multiproblem_label_weight = 0.95
return hparams
|
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] |
Hparams for transformer on LM for finetuning on text class problems.
|
[
"Hparams",
"for",
"transformer",
"on",
"LM",
"for",
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"on",
"text",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1875-L1887
|
train
|
Hparams for transformer on LM for finetuning on text class problems.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(241 - 193) + chr(6978 - 6867) + '\x33' + chr(0b110000) + '\065', 0o10), ehT0Px3KOsy9(chr(1329 - 1281) + chr(0b1101111) + chr(0b100 + 0o55) + chr(158 - 107) + '\060', 6792 - 6784), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010111 + 0o30) + chr(2188 - 2139) + chr(1888 - 1839) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(9518 - 9407) + chr(2418 - 2368) + chr(0b110011) + chr(0b100011 + 0o21), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + '\063' + chr(0b11000 + 0o33) + chr(491 - 443), 61302 - 61294), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + '\x32' + chr(0b110101) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110 + 0o53) + chr(355 - 301) + '\x33', 5776 - 5768), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110111) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1651 - 1603) + '\x6f' + chr(2321 - 2270) + '\060' + chr(0b10001 + 0o44), 8), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(1611 - 1562) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\x36' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + chr(0b110011) + '\066' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(381 - 333) + '\157' + chr(50) + chr(54) + '\x32', 0o10), ehT0Px3KOsy9(chr(63 - 15) + chr(7301 - 7190) + chr(50) + chr(959 - 908) + chr(51), 20318 - 20310), ehT0Px3KOsy9(chr(48) + chr(3090 - 2979) + chr(51) + chr(48) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1559 - 1511) + chr(0b1101111) + chr(0b10010 + 0o41) + '\x31' + chr(0b100 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000 + 0o2) + chr(49) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11011 + 0o124) + chr(0b10001 + 0o42) + chr(0b100010 + 0o22) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(2085 - 2037) + '\157' + '\x31' + chr(0b110111) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b10000 + 0o43), 42398 - 42390), ehT0Px3KOsy9(chr(779 - 731) + chr(111) + '\x33' + '\x30' + chr(2019 - 1968), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\061' + chr(0b10011 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1965 - 1914) + '\064' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(2747 - 2636) + '\062' + chr(2332 - 2281) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\061' + chr(389 - 340), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(1314 - 1265) + '\x31', 6410 - 6402), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\x36' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1159 - 1111) + chr(111) + '\x32' + chr(52) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(7904 - 7793) + chr(0b101010 + 0o11) + '\x31' + chr(0b10011 + 0o42), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(0b110010) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(661 - 610) + chr(50) + chr(0b110101), 64890 - 64882), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(54) + chr(0b10011 + 0o35), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(580 - 530) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + '\061' + chr(0b100101 + 0o20) + chr(0b110000 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + '\x33' + chr(1919 - 1869) + chr(850 - 798), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(0b1011 + 0o47) + chr(0b100110 + 0o20) + chr(0b11001 + 0o34), 65274 - 65266), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x36' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(2160 - 2105) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(332 - 282) + chr(0b10011 + 0o44), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2824 - 2770) + chr(53), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(1029 - 918) + chr(53) + chr(0b11001 + 0o27), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb'), '\144' + chr(6150 - 6049) + chr(99) + chr(111) + '\x64' + chr(101))('\x75' + chr(0b1110001 + 0o3) + chr(0b1001001 + 0o35) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mSqDiLOg3mfU():
n4ljua2gi1Pr = wi589e4oNDOt()
n4ljua2gi1Pr.Ot9HUjnkxXA_ = 6.25e-05
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa91 \xf9\xb9\xdb,K\xa48\xda\x86\xc2\xb1\xa3\xa7\xe1\x92\x0bj\xad;\xce\xf2 \xa7\x17\xc5\xbfL\xb1U6\x0b\xad'), chr(4082 - 3982) + chr(4687 - 4586) + chr(5582 - 5483) + chr(5273 - 5162) + chr(100) + '\145')('\165' + '\x74' + chr(0b1100110) + chr(894 - 849) + chr(2141 - 2085))
n4ljua2gi1Pr.HU5KTi3EiBWH = ehT0Px3KOsy9(chr(698 - 650) + chr(111) + '\060', 0b1000)
n4ljua2gi1Pr.sTjfKcmJXwf9 = ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(49), 0o10)
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(0b110000) + chr(6104 - 5993) + chr(0b110110) + '\062', 0o10)
n4ljua2gi1Pr.YBAB1XyoxOc5 = ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(1083 - 1029) + chr(0b110000) + '\x36' + '\065' + chr(0b110000), 0b1000)
n4ljua2gi1Pr.cglLOvz89Uil = ehT0Px3KOsy9('\x30' + chr(2779 - 2668) + chr(2136 - 2087), 8)
n4ljua2gi1Pr.wMKlDNJk2Gst = 0.95
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_tall_pretrain_lm
|
def transformer_tall_pretrain_lm():
"""Hparams for transformer on LM pretraining (with 64k vocab)."""
hparams = transformer_tall()
hparams.learning_rate_constant = 2e-4
hparams.learning_rate_schedule = ("linear_warmup*constant*cosdecay")
hparams.optimizer = "adam_w"
hparams.optimizer_adam_beta1 = 0.9
hparams.optimizer_adam_beta2 = 0.999
hparams.optimizer_adam_epsilon = 1e-8
# Set max examples to something big when pretraining only the LM, definitely
# something an order of magnitude bigger than number of train steps.
hparams.multiproblem_schedule_max_examples = 5e8
# Set train steps to learning_rate_decay_steps or less
hparams.learning_rate_decay_steps = 5000000
return hparams
|
python
|
def transformer_tall_pretrain_lm():
"""Hparams for transformer on LM pretraining (with 64k vocab)."""
hparams = transformer_tall()
hparams.learning_rate_constant = 2e-4
hparams.learning_rate_schedule = ("linear_warmup*constant*cosdecay")
hparams.optimizer = "adam_w"
hparams.optimizer_adam_beta1 = 0.9
hparams.optimizer_adam_beta2 = 0.999
hparams.optimizer_adam_epsilon = 1e-8
# Set max examples to something big when pretraining only the LM, definitely
# something an order of magnitude bigger than number of train steps.
hparams.multiproblem_schedule_max_examples = 5e8
# Set train steps to learning_rate_decay_steps or less
hparams.learning_rate_decay_steps = 5000000
return hparams
|
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] |
Hparams for transformer on LM pretraining (with 64k vocab).
|
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272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1891-L1905
|
train
|
Hparams for transformer on LM pretraining.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(51) + '\x30' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(1926 - 1872) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1551 - 1503) + chr(0b1101111) + chr(2263 - 2213) + chr(0b10010 + 0o43) + chr(0b101 + 0o61), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4398 - 4287) + chr(0b100011 + 0o23) + chr(2557 - 2503), 0b1000), ehT0Px3KOsy9(chr(260 - 212) + '\x6f' + '\061' + chr(0b110011 + 0o4) + chr(1647 - 1592), 45516 - 45508), ehT0Px3KOsy9(chr(0b110000) + chr(8610 - 8499) + chr(50) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(0b110011) + '\x36' + chr(51), 53128 - 53120), ehT0Px3KOsy9(chr(48) + '\x6f' + '\067' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(227 - 177) + chr(0b110100) + '\060', 42402 - 42394), ehT0Px3KOsy9(chr(1923 - 1875) + chr(111) + chr(50) + chr(0b110010) + chr(987 - 933), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\065' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b101000 + 0o16) + chr(0b10 + 0o62), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + chr(492 - 442) + chr(0b11101 + 0o32) + chr(2122 - 2068), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10 + 0o61) + chr(59 - 6) + chr(0b11100 + 0o30), 0o10), ehT0Px3KOsy9(chr(1768 - 1720) + chr(111) + chr(0b110010) + chr(55) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + chr(50) + chr(1368 - 1316) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + '\x35' + chr(1536 - 1487), 64732 - 64724), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\063' + chr(49), 49128 - 49120), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(52) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(445 - 334) + chr(1418 - 1368) + '\x32' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(397 - 347) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101011 + 0o10) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + '\x31' + '\065' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1883 - 1833) + chr(1770 - 1719) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b10110 + 0o41) + chr(0b100100 + 0o16), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(510 - 459) + '\066' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b111 + 0o56) + chr(1574 - 1526), ord("\x08")), ehT0Px3KOsy9(chr(1092 - 1044) + chr(8200 - 8089) + '\x33' + chr(49) + chr(0b101111 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(50 - 2) + chr(1618 - 1507) + chr(0b11110 + 0o25) + chr(2117 - 2067) + chr(0b11010 + 0o30), 0b1000), ehT0Px3KOsy9('\060' + chr(0b101100 + 0o103) + '\063' + chr(943 - 891) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10101 + 0o34) + '\065' + '\x30', 8), ehT0Px3KOsy9(chr(48) + chr(11015 - 10904) + chr(51) + chr(0b100010 + 0o23) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + '\x31' + '\062' + chr(0b10 + 0o60), 0o10), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + '\x31' + '\063' + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1876 - 1822) + chr(0b1000 + 0o53), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\x35' + '\x34', 40017 - 40009), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10110 + 0o35) + chr(51) + chr(261 - 207), 57509 - 57501), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + '\x33' + chr(0b1101 + 0o51) + '\063', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11100 + 0o25) + chr(0b110111) + '\x37', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110101) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xef'), chr(0b101110 + 0o66) + chr(101) + '\143' + chr(0b1001111 + 0o40) + '\x64' + '\145')(chr(0b1110101) + '\164' + chr(212 - 110) + '\x2d' + chr(0b100110 + 0o22)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZvgeLCDxuflq():
n4ljua2gi1Pr = wi589e4oNDOt()
n4ljua2gi1Pr.Ot9HUjnkxXA_ = 0.0002
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\x1d\xc0S\x1ec\xacK\xc1\xe4\xc7\xc1\xce\xc6\xd8\xc8Gj\x94\xf0{`1\x0e\xf5\xc9\x95\r\xaf\xb3\x9f'), '\144' + chr(7395 - 7294) + '\143' + chr(9958 - 9847) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + chr(1121 - 1076) + chr(0b111000))
n4ljua2gi1Pr.XdKNcYRObPK3 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0\x10\xcf[ f'), chr(144 - 44) + '\145' + chr(3161 - 3062) + chr(2884 - 2773) + '\144' + '\145')(chr(117) + chr(0b1110100) + '\146' + chr(741 - 696) + chr(0b111000))
n4ljua2gi1Pr.GcOjyd7zcDH8 = 0.9
n4ljua2gi1Pr.CBOVKNT0M9cG = 0.999
n4ljua2gi1Pr.o17O_bIptWdl = 1e-08
n4ljua2gi1Pr.HU5KTi3EiBWH = 500000000.0
n4ljua2gi1Pr.YBAB1XyoxOc5 = ehT0Px3KOsy9(chr(1708 - 1660) + '\157' + '\062' + chr(51) + chr(0b110000) + chr(0b1111 + 0o45) + chr(0b110000 + 0o5) + chr(782 - 729) + '\x30' + chr(48), 0b1000)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_tall_pretrain_lm_tpu_adafactor
|
def transformer_tall_pretrain_lm_tpu_adafactor():
"""Hparams for transformer on LM pretraining (with 64k vocab) on TPU."""
hparams = transformer_tall_pretrain_lm()
update_hparams_for_tpu(hparams)
hparams.max_length = 1024
# For multi-problem on TPU we need it in absolute examples.
hparams.batch_size = 8
hparams.multiproblem_vocab_size = 2**16
return hparams
|
python
|
def transformer_tall_pretrain_lm_tpu_adafactor():
"""Hparams for transformer on LM pretraining (with 64k vocab) on TPU."""
hparams = transformer_tall_pretrain_lm()
update_hparams_for_tpu(hparams)
hparams.max_length = 1024
# For multi-problem on TPU we need it in absolute examples.
hparams.batch_size = 8
hparams.multiproblem_vocab_size = 2**16
return hparams
|
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] |
Hparams for transformer on LM pretraining (with 64k vocab) on TPU.
|
[
"Hparams",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1909-L1917
|
train
|
Hparams for transformer on LM pretraining on TPU.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b110011) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(517 - 469) + chr(7300 - 7189) + chr(1595 - 1544) + chr(0b10110 + 0o33) + chr(0b110110), 43443 - 43435), ehT0Px3KOsy9(chr(0b110000) + chr(2319 - 2208) + chr(0b101000 + 0o13) + '\x32', 44893 - 44885), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(610 - 561) + chr(1970 - 1922), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(0b101010 + 0o7) + chr(0b100101 + 0o20) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(1634 - 1580), ord("\x08")), ehT0Px3KOsy9(chr(1378 - 1330) + '\157' + '\067' + chr(54), 38028 - 38020), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + '\x37' + '\063', 17927 - 17919), ehT0Px3KOsy9(chr(521 - 473) + chr(111) + chr(0b110011) + '\x35' + chr(0b110110), 21013 - 21005), ehT0Px3KOsy9(chr(497 - 449) + chr(0b1101111) + chr(0b100110 + 0o15) + chr(0b1000 + 0o53) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5640 - 5529) + chr(54) + chr(0b11 + 0o63), 38757 - 38749), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b10001 + 0o40) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101) + chr(0b100000 + 0o24), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b110001) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110110) + chr(0b110000), 28860 - 28852), ehT0Px3KOsy9(chr(866 - 818) + chr(111) + '\063' + chr(0b11000 + 0o33), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b110100) + chr(0b100 + 0o54), 0o10), ehT0Px3KOsy9(chr(1696 - 1648) + chr(0b1101111) + chr(50) + chr(48) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(2164 - 2116) + chr(0b1101111) + '\061' + chr(0b110001) + chr(48), 8), ehT0Px3KOsy9(chr(978 - 930) + chr(1562 - 1451) + chr(51) + chr(0b11111 + 0o24) + chr(0b110110), 8), ehT0Px3KOsy9(chr(960 - 912) + '\x6f' + chr(1808 - 1757) + '\x33' + chr(0b11111 + 0o22), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(1128 - 1080), 3200 - 3192), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b11001 + 0o31), 0b1000), ehT0Px3KOsy9(chr(1066 - 1018) + '\x6f' + chr(0b110010) + '\062' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(0b110101) + chr(0b100111 + 0o13), 20310 - 20302), ehT0Px3KOsy9(chr(0b110000) + chr(8658 - 8547) + '\062' + chr(0b110011) + chr(2091 - 2037), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b100 + 0o55) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(7747 - 7636) + chr(50) + '\066' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b1011 + 0o54) + chr(2711 - 2656), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1001 + 0o50) + '\x37' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\062' + chr(0b110110), 41904 - 41896), ehT0Px3KOsy9(chr(1549 - 1501) + chr(0b10110 + 0o131) + chr(0b110010) + chr(0b101 + 0o53) + chr(1048 - 996), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2743 - 2688) + chr(54), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b100000 + 0o22) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\060' + '\066', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(6795 - 6684) + chr(1480 - 1429) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1208 - 1155) + chr(0b110100), 8), ehT0Px3KOsy9('\x30' + chr(0b111010 + 0o65) + '\063' + '\066' + chr(0b11111 + 0o22), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b11101 + 0o122) + chr(0b110010) + chr(0b110101 + 0o1) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\067' + chr(0b110010), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(53) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(101))(chr(8902 - 8785) + '\164' + '\146' + chr(0b101101) + chr(2223 - 2167)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def yYmyHoJao9af():
n4ljua2gi1Pr = ZvgeLCDxuflq()
gWr33mh0VbqT(n4ljua2gi1Pr)
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1001 + 0o146) + chr(1224 - 1174) + '\060' + '\060' + chr(0b110000), ord("\x08"))
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(1662 - 1614) + chr(5865 - 5754) + chr(254 - 205) + chr(912 - 864), 8)
n4ljua2gi1Pr.uPUHc62zZMET = ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(7602 - 7491) + chr(0b10011 + 0o37), 0o10) ** ehT0Px3KOsy9(chr(48) + '\157' + chr(884 - 834) + '\060', 0o10)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_tall_pretrain_lm_tpu_adafactor_large
|
def transformer_tall_pretrain_lm_tpu_adafactor_large():
"""Hparams for transformer on LM pretraining on TPU, large model."""
hparams = transformer_tall_pretrain_lm_tpu_adafactor()
hparams.hidden_size = 1024
hparams.num_heads = 16
hparams.filter_size = 32768 # max fitting in 16G memory is 49152, batch 2
hparams.batch_size = 4
hparams.multiproblem_mixing_schedule = "constant"
# Task order: lm/en-de/en-fr/en-ro/de-en/fr-en/ro-en/cnndm/mnli/squad.
hparams.multiproblem_per_task_threshold = "320,80,160,1,80,160,2,20,10,5"
return hparams
|
python
|
def transformer_tall_pretrain_lm_tpu_adafactor_large():
"""Hparams for transformer on LM pretraining on TPU, large model."""
hparams = transformer_tall_pretrain_lm_tpu_adafactor()
hparams.hidden_size = 1024
hparams.num_heads = 16
hparams.filter_size = 32768 # max fitting in 16G memory is 49152, batch 2
hparams.batch_size = 4
hparams.multiproblem_mixing_schedule = "constant"
# Task order: lm/en-de/en-fr/en-ro/de-en/fr-en/ro-en/cnndm/mnli/squad.
hparams.multiproblem_per_task_threshold = "320,80,160,1,80,160,2,20,10,5"
return hparams
|
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"# Task order: lm/en-de/en-fr/en-ro/de-en/fr-en/ro-en/cnndm/mnli/squad.",
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"multiproblem_per_task_threshold",
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"\"320,80,160,1,80,160,2,20,10,5\"",
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] |
Hparams for transformer on LM pretraining on TPU, large model.
|
[
"Hparams",
"for",
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"on",
"LM",
"pretraining",
"on",
"TPU",
"large",
"model",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1921-L1931
|
train
|
Hparams for transformer on LM pretraining on TPU large model.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1000 + 0o147) + '\x31' + chr(0b110100) + '\x34', 44149 - 44141), ehT0Px3KOsy9('\060' + chr(492 - 381) + chr(55), 40201 - 40193), ehT0Px3KOsy9(chr(1688 - 1640) + '\157' + chr(49) + '\065' + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(54) + chr(569 - 517), 0b1000), ehT0Px3KOsy9('\x30' + chr(12002 - 11891) + '\062' + '\x35' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b110010) + chr(1511 - 1456) + chr(511 - 457), 491 - 483), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(0b111 + 0o54) + chr(53) + chr(0b101111 + 0o10), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x34' + chr(0b10011 + 0o35), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(8353 - 8242) + '\061' + chr(50) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(51) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(0b110001 + 0o76) + '\x31' + chr(0b110001 + 0o0) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\x36' + chr(0b101011 + 0o14), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(49) + '\x31', 0b1000), ehT0Px3KOsy9(chr(983 - 935) + chr(111) + chr(0b110010) + '\x32' + '\060', 38329 - 38321), ehT0Px3KOsy9(chr(48) + '\157' + chr(2365 - 2316) + chr(0b110011) + chr(52), 48560 - 48552), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(145 - 94), 0b1000), ehT0Px3KOsy9(chr(246 - 198) + chr(0b1001010 + 0o45) + '\063' + '\067' + chr(0b101010 + 0o6), 55457 - 55449), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(0b110011) + chr(726 - 675) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\064' + chr(120 - 71), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1001 + 0o146) + chr(1335 - 1286) + chr(1723 - 1668) + '\066', 47858 - 47850), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\x34' + chr(0b100111 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(1650 - 1602) + chr(0b11011 + 0o124) + '\063' + chr(55) + '\063', 0b1000), ehT0Px3KOsy9(chr(888 - 840) + '\x6f' + chr(0b100110 + 0o14) + chr(0b110110) + chr(1631 - 1578), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(1992 - 1943) + '\066' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110101) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(5992 - 5881) + '\063' + '\060' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(0b100011 + 0o16) + '\060' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(756 - 705) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(50) + '\x35' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1441 - 1387) + '\x35', 5106 - 5098), ehT0Px3KOsy9(chr(133 - 85) + chr(0b1101111) + chr(0b110011) + '\067' + '\064', 39307 - 39299), ehT0Px3KOsy9(chr(0b110000) + chr(10453 - 10342) + chr(365 - 314) + chr(2747 - 2692), 46576 - 46568), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(578 - 527) + chr(0b110011) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\066' + chr(0b1100 + 0o47), 0b1000), ehT0Px3KOsy9(chr(1092 - 1044) + '\157' + chr(2458 - 2407) + chr(0b11010 + 0o26) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1010 + 0o51) + chr(0b101101 + 0o6) + chr(1172 - 1121), 8), ehT0Px3KOsy9(chr(1478 - 1430) + chr(111) + '\062' + chr(0b110010) + chr(0b110001 + 0o6), 20813 - 20805)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(53) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'J'), chr(100) + '\x65' + '\143' + chr(0b1101111) + '\144' + '\x65')(chr(0b1111 + 0o146) + chr(116) + chr(0b1100110) + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MWBO_xhQQDjy():
n4ljua2gi1Pr = yYmyHoJao9af()
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\x30' + chr(0b110000) + chr(0b100110 + 0o12), 41328 - 41320)
n4ljua2gi1Pr.vRVqPOZ1hUG7 = ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(0b110010) + chr(0b110000), 63771 - 63763)
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x30' + '\x30' + chr(2076 - 2028) + '\x30' + chr(48), ord("\x08"))
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1044 - 992), ord("\x08"))
n4ljua2gi1Pr.IZLStV1pVeiP = xafqLlk3kkUe(SXOLrMavuUCe(b'\x07h\x03\x07\xdb\xdf\x81T'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b1110 + 0o141) + chr(1325 - 1225) + chr(0b0 + 0o145))(chr(117) + '\x74' + chr(1071 - 969) + '\055' + chr(0b111000))
n4ljua2gi1Pr.deFR9t8VKurF = xafqLlk3kkUe(SXOLrMavuUCe(b'W5]X\x97\x8e\xc3\x11gkc\x86e\xa8l/\xc9\xe9\x91R\xd4\xd7\x87C\x06\xf5)n8'), '\144' + '\145' + chr(0b1100011) + '\157' + '\144' + chr(2814 - 2713))(chr(117) + chr(0b110011 + 0o101) + chr(0b1010011 + 0o23) + chr(0b101101) + chr(0b111000))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_tall_pretrain_lm_tpu
|
def transformer_tall_pretrain_lm_tpu():
"""Hparams for transformer on LM pretraining on TPU with AdamW."""
hparams = transformer_tall_pretrain_lm_tpu_adafactor()
# Optimizer gets reset in update_hparams_for_tpu so we set it again here.
hparams.learning_rate_constant = 2e-4
hparams.learning_rate_schedule = ("linear_warmup * constant * cosdecay")
hparams.optimizer = "adam_w"
return hparams
|
python
|
def transformer_tall_pretrain_lm_tpu():
"""Hparams for transformer on LM pretraining on TPU with AdamW."""
hparams = transformer_tall_pretrain_lm_tpu_adafactor()
# Optimizer gets reset in update_hparams_for_tpu so we set it again here.
hparams.learning_rate_constant = 2e-4
hparams.learning_rate_schedule = ("linear_warmup * constant * cosdecay")
hparams.optimizer = "adam_w"
return hparams
|
[
"def",
"transformer_tall_pretrain_lm_tpu",
"(",
")",
":",
"hparams",
"=",
"transformer_tall_pretrain_lm_tpu_adafactor",
"(",
")",
"# Optimizer gets reset in update_hparams_for_tpu so we set it again here.",
"hparams",
".",
"learning_rate_constant",
"=",
"2e-4",
"hparams",
".",
"learning_rate_schedule",
"=",
"(",
"\"linear_warmup * constant * cosdecay\"",
")",
"hparams",
".",
"optimizer",
"=",
"\"adam_w\"",
"return",
"hparams"
] |
Hparams for transformer on LM pretraining on TPU with AdamW.
|
[
"Hparams",
"for",
"transformer",
"on",
"LM",
"pretraining",
"on",
"TPU",
"with",
"AdamW",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1935-L1942
|
train
|
Hparams for transformer on LM pretraining on TPU with AdamW.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\060' + chr(0b100110 + 0o15), 1137 - 1129), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(0b110011) + '\066' + chr(2100 - 2047), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + '\x33' + chr(157 - 103) + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1753 - 1704) + chr(1214 - 1162) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(0b110011 + 0o0) + chr(0b110100 + 0o3) + chr(0b11001 + 0o35), 3874 - 3866), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(0b110011) + chr(1430 - 1379) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1359 - 1311) + chr(111) + chr(0b10000 + 0o43) + '\x33' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b110010) + chr(0b11110 + 0o27) + chr(0b110000 + 0o4), 5946 - 5938), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(0b10 + 0o61) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7841 - 7730) + '\064' + '\x36', 16393 - 16385), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(580 - 529) + chr(51) + chr(0b11010 + 0o26), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(49) + chr(780 - 726), 15497 - 15489), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + chr(1222 - 1172) + '\062' + chr(51), 0b1000), ehT0Px3KOsy9(chr(2038 - 1990) + '\x6f' + chr(50) + chr(0b110101) + chr(49), 25513 - 25505), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100101 + 0o20) + chr(0b1101 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + '\065' + chr(1969 - 1919), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3251 - 3140) + '\x33' + chr(2607 - 2552) + '\067', 38340 - 38332), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(4913 - 4802) + '\063' + '\x32' + chr(391 - 338), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(170 - 120) + '\065' + '\060', 0b1000), ehT0Px3KOsy9(chr(545 - 497) + chr(111) + chr(54) + chr(0b10110 + 0o37), 0b1000), ehT0Px3KOsy9(chr(52 - 4) + chr(0b100011 + 0o114) + chr(0b101100 + 0o7) + chr(0b110011), 56569 - 56561), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000 + 0o3) + chr(916 - 866) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(1441 - 1330) + '\x32' + '\066' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(448 - 398) + chr(51) + chr(82 - 29), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101010 + 0o5) + chr(0b100 + 0o63), 797 - 789), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110000 + 0o6) + '\x33', 61686 - 61678), ehT0Px3KOsy9('\060' + chr(10853 - 10742) + chr(0b110001) + chr(0b101110 + 0o11) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001101 + 0o42) + chr(789 - 739) + chr(49) + chr(0b100000 + 0o24), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b111 + 0o57), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1113 - 1002) + '\x31' + chr(968 - 919) + chr(1675 - 1626), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + chr(0b1010 + 0o51) + '\x36' + chr(0b110010), 17999 - 17991), ehT0Px3KOsy9(chr(48) + chr(9706 - 9595) + '\063' + chr(543 - 493) + '\060', 24324 - 24316), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10 + 0o57) + chr(51) + '\x33', 22020 - 22012), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\060' + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(756 - 705) + chr(51), 8), ehT0Px3KOsy9(chr(684 - 636) + '\157' + chr(351 - 302) + chr(50) + chr(2048 - 1998), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(0b10001 + 0o42) + chr(0b110110) + '\x37', 0b1000), ehT0Px3KOsy9(chr(920 - 872) + chr(10285 - 10174) + '\x36' + chr(0b101100 + 0o5), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(8421 - 8310) + '\x35' + chr(0b10100 + 0o34), 58687 - 58679)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'v'), chr(0b111 + 0o135) + '\145' + chr(99) + chr(111) + chr(0b1100100) + '\145')('\165' + '\x74' + '\x66' + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def X4l_1GPQ553e():
n4ljua2gi1Pr = yYmyHoJao9af()
n4ljua2gi1Pr.Ot9HUjnkxXA_ = 0.0002
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'4\xea\x9b\x90\x07\x8c\x87\xaa\xcdoK\xad\xbe\xb3\x83\x0cI\x90\xbb\xdbAz\xb8\xc0\xbd-S\x1e\xe3u-\x97\xb3:\xbc'), chr(100) + '\145' + chr(99) + '\157' + '\144' + chr(0b1100101))(chr(0b1101000 + 0o15) + '\164' + chr(0b1100110) + chr(1175 - 1130) + '\x38')
n4ljua2gi1Pr.XdKNcYRObPK3 = xafqLlk3kkUe(SXOLrMavuUCe(b'9\xe7\x94\x989\x89'), '\144' + chr(2026 - 1925) + chr(99) + chr(111) + chr(0b101100 + 0o70) + chr(8707 - 8606))(chr(503 - 386) + chr(0b1110100) + '\146' + chr(1410 - 1365) + '\x38')
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_base_single_gpu
|
def transformer_base_single_gpu():
"""HParams for transformer base model for single GPU."""
hparams = transformer_base()
hparams.batch_size = 1024
hparams.learning_rate_schedule = "constant*linear_warmup*rsqrt_decay"
hparams.learning_rate_constant = 0.1
hparams.learning_rate_warmup_steps = 16000
return hparams
|
python
|
def transformer_base_single_gpu():
"""HParams for transformer base model for single GPU."""
hparams = transformer_base()
hparams.batch_size = 1024
hparams.learning_rate_schedule = "constant*linear_warmup*rsqrt_decay"
hparams.learning_rate_constant = 0.1
hparams.learning_rate_warmup_steps = 16000
return hparams
|
[
"def",
"transformer_base_single_gpu",
"(",
")",
":",
"hparams",
"=",
"transformer_base",
"(",
")",
"hparams",
".",
"batch_size",
"=",
"1024",
"hparams",
".",
"learning_rate_schedule",
"=",
"\"constant*linear_warmup*rsqrt_decay\"",
"hparams",
".",
"learning_rate_constant",
"=",
"0.1",
"hparams",
".",
"learning_rate_warmup_steps",
"=",
"16000",
"return",
"hparams"
] |
HParams for transformer base model for single GPU.
|
[
"HParams",
"for",
"transformer",
"base",
"model",
"for",
"single",
"GPU",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1963-L1970
|
train
|
HParams for transformer base model for single GPU.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x37' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9752 - 9641) + chr(0b110010) + '\062' + chr(0b110100), 23351 - 23343), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\x37' + chr(48), 1746 - 1738), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(0b110010) + chr(49), 57556 - 57548), ehT0Px3KOsy9(chr(0b110000) + chr(7510 - 7399) + '\x32' + chr(0b110011) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2561 - 2508) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1534 - 1485) + chr(0b11001 + 0o31) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110010) + chr(1212 - 1163), 42880 - 42872), ehT0Px3KOsy9(chr(2199 - 2151) + '\157' + '\061' + '\062' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1001110 + 0o41) + '\x31' + chr(0b1001 + 0o55) + chr(1645 - 1590), 17156 - 17148), ehT0Px3KOsy9(chr(764 - 716) + chr(0b1101111) + '\063' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(7051 - 6940) + chr(0b110011) + '\064' + chr(0b11101 + 0o24), 31113 - 31105), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(7352 - 7241) + chr(0b1100 + 0o46) + chr(0b101110 + 0o11), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\x30' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\x37' + chr(52), 56421 - 56413), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b110101) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\062' + '\067', 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\063' + chr(54) + chr(0b11010 + 0o30), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + chr(2237 - 2186) + chr(53) + '\065', 18259 - 18251), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1010111 + 0o30) + '\062' + chr(51) + chr(0b1 + 0o65), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(1199 - 1144) + '\x36', 35606 - 35598), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\067' + chr(0b10000 + 0o41), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2502 - 2391) + chr(0b110010) + chr(0b111 + 0o57), 10157 - 10149), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(6185 - 6074) + chr(0b110001) + chr(0b110001) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\060' + '\066', 40260 - 40252), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\x32' + chr(0b101011 + 0o12), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(0b101110 + 0o2) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1001 + 0o146) + chr(0b110001) + chr(55) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11011 + 0o33) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(1778 - 1730) + chr(0b10000 + 0o41), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100010 + 0o115) + chr(0b110001) + chr(0b1101 + 0o51) + '\x34', 13689 - 13681), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010011 + 0o34) + chr(1761 - 1710) + chr(49) + chr(148 - 98), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + chr(944 - 895) + chr(55) + '\061', 0o10), ehT0Px3KOsy9(chr(1604 - 1556) + chr(0b1101111) + chr(0b110011) + chr(0b11001 + 0o33) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(0b110011) + chr(52) + chr(625 - 576), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(55), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b110110) + chr(1529 - 1481), 55782 - 55774), ehT0Px3KOsy9('\060' + chr(4003 - 3892) + '\061' + '\x32' + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b100011 + 0o114) + '\x37' + chr(0b110101), 37586 - 37578)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(3949 - 3838) + chr(2488 - 2435) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7'), chr(0b1100100) + chr(0b1100101) + chr(1177 - 1078) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b100010 + 0o123) + chr(1146 - 1030) + chr(0b1100110) + '\055' + chr(0b1011 + 0o55)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def rX8YJjtBQ3XG():
n4ljua2gi1Pr = ciSuZsJ0n_gI()
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + '\x32' + chr(48) + chr(0b110000) + chr(0b10010 + 0o36), 0b1000)
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\xfb\xd6b\xeeI9\xa5\x7f\x1bw\x8fr\xe6\x8e\xf6 \x93\x9f\xf3\x0b\xc9<<\xf5\xa4\xb1\x08m\xa5\x11\xa9\x18\x9f'), '\144' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(2520 - 2420) + chr(5886 - 5785))(chr(117) + '\164' + chr(2939 - 2837) + '\x2d' + '\x38')
n4ljua2gi1Pr.Ot9HUjnkxXA_ = 0.1
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b110111) + chr(664 - 614) + chr(1410 - 1362) + chr(969 - 921), 34523 - 34515)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_parsing_base
|
def transformer_parsing_base():
"""HParams for parsing on WSJ only."""
hparams = transformer_base()
hparams.attention_dropout = 0.2
hparams.layer_prepostprocess_dropout = 0.2
hparams.max_length = 512
hparams.learning_rate_warmup_steps = 16000
hparams.hidden_size = 1024
hparams.learning_rate = 0.05
hparams.shared_embedding_and_softmax_weights = False
return hparams
|
python
|
def transformer_parsing_base():
"""HParams for parsing on WSJ only."""
hparams = transformer_base()
hparams.attention_dropout = 0.2
hparams.layer_prepostprocess_dropout = 0.2
hparams.max_length = 512
hparams.learning_rate_warmup_steps = 16000
hparams.hidden_size = 1024
hparams.learning_rate = 0.05
hparams.shared_embedding_and_softmax_weights = False
return hparams
|
[
"def",
"transformer_parsing_base",
"(",
")",
":",
"hparams",
"=",
"transformer_base",
"(",
")",
"hparams",
".",
"attention_dropout",
"=",
"0.2",
"hparams",
".",
"layer_prepostprocess_dropout",
"=",
"0.2",
"hparams",
".",
"max_length",
"=",
"512",
"hparams",
".",
"learning_rate_warmup_steps",
"=",
"16000",
"hparams",
".",
"hidden_size",
"=",
"1024",
"hparams",
".",
"learning_rate",
"=",
"0.05",
"hparams",
".",
"shared_embedding_and_softmax_weights",
"=",
"False",
"return",
"hparams"
] |
HParams for parsing on WSJ only.
|
[
"HParams",
"for",
"parsing",
"on",
"WSJ",
"only",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1983-L1993
|
train
|
HParams for parsing on WSJ only.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(174 - 126) + chr(0b1000010 + 0o55) + chr(50) + '\x34' + '\061', 0o10), ehT0Px3KOsy9(chr(504 - 456) + '\157' + chr(0b101100 + 0o7) + chr(0b110 + 0o57) + chr(940 - 892), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(568 - 514) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x37' + chr(0b10000 + 0o44), 13105 - 13097), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\066' + '\x31', 52925 - 52917), ehT0Px3KOsy9('\060' + chr(0b1010110 + 0o31) + chr(0b10011 + 0o43) + chr(1931 - 1876), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10100 + 0o37) + chr(1176 - 1122) + chr(0b110 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11100 + 0o26) + chr(300 - 250) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + '\x33' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110111) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b0 + 0o66) + chr(1436 - 1381), 3333 - 3325), ehT0Px3KOsy9('\060' + chr(11855 - 11744) + chr(50) + chr(734 - 685), 23422 - 23414), ehT0Px3KOsy9('\x30' + chr(0b1011100 + 0o23) + '\062' + chr(0b110111) + '\063', 32786 - 32778), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b0 + 0o157) + '\066' + chr(49), 6759 - 6751), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1101 + 0o46) + chr(50) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + chr(368 - 319) + chr(948 - 899) + chr(372 - 317), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100000 + 0o117) + '\x32' + chr(51) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(2526 - 2475) + chr(739 - 687) + chr(0b10101 + 0o34), 0o10), ehT0Px3KOsy9(chr(1980 - 1932) + '\157' + chr(497 - 447) + '\x34' + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110100) + chr(48), 27393 - 27385), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(54) + '\x37', 8), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b11 + 0o57) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101010 + 0o5) + chr(49) + '\x36', 2369 - 2361), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + chr(959 - 909) + '\060' + chr(0b100 + 0o61), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110010) + chr(0b11011 + 0o27), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110 + 0o55) + chr(50) + chr(2565 - 2510), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b110001 + 0o76) + '\062' + '\066' + chr(52), 0o10), ehT0Px3KOsy9(chr(601 - 553) + chr(0b1101111) + chr(1301 - 1251) + chr(48) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(2127 - 2076) + '\067', 8), ehT0Px3KOsy9(chr(0b110000) + chr(10335 - 10224) + chr(0b110010) + '\067', 49602 - 49594), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2302 - 2247) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + chr(0b110010) + chr(0b110010) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(321 - 271) + chr(0b110110) + chr(54), 58420 - 58412), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + '\062' + chr(0b110001 + 0o1) + chr(0b110110), 24516 - 24508), ehT0Px3KOsy9(chr(1956 - 1908) + chr(1080 - 969) + '\x33' + chr(55) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1040 - 992) + chr(2950 - 2839) + '\062' + chr(0b101110 + 0o10) + chr(0b110000 + 0o5), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1111 + 0o140) + chr(50) + chr(55) + chr(2419 - 2365), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\065' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + chr(1543 - 1494) + chr(799 - 750) + '\x37', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101 + 0o142) + '\065' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f'), chr(0b1100100) + '\x65' + chr(99) + '\157' + chr(0b11 + 0o141) + chr(101))(chr(117) + '\164' + chr(978 - 876) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def BfZ6RfZZsQfn():
n4ljua2gi1Pr = ciSuZsJ0n_gI()
n4ljua2gi1Pr.RdMRr3qkYioQ = 0.2
n4ljua2gi1Pr.RW_xSzp18UeS = 0.2
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(451 - 402) + chr(492 - 444) + '\060' + '\x30', 0o10)
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1011 + 0o50) + chr(0b110111) + chr(562 - 512) + chr(0b110000) + chr(0b1 + 0o57), ord("\x08"))
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1474 - 1424) + chr(0b101011 + 0o5) + '\060' + chr(0b101010 + 0o6), 0o10)
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.05
n4ljua2gi1Pr.qVamxim0L2I1 = ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + '\x30', 0b1000)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_parsing_big
|
def transformer_parsing_big():
"""HParams for parsing on WSJ semi-supervised."""
hparams = transformer_big()
hparams.max_length = 512
hparams.shared_source_target_embedding = False
hparams.learning_rate_warmup_steps = 4000
hparams.layer_prepostprocess_dropout = 0.1
hparams.batch_size = 2048
hparams.learning_rate = 0.05
return hparams
|
python
|
def transformer_parsing_big():
"""HParams for parsing on WSJ semi-supervised."""
hparams = transformer_big()
hparams.max_length = 512
hparams.shared_source_target_embedding = False
hparams.learning_rate_warmup_steps = 4000
hparams.layer_prepostprocess_dropout = 0.1
hparams.batch_size = 2048
hparams.learning_rate = 0.05
return hparams
|
[
"def",
"transformer_parsing_big",
"(",
")",
":",
"hparams",
"=",
"transformer_big",
"(",
")",
"hparams",
".",
"max_length",
"=",
"512",
"hparams",
".",
"shared_source_target_embedding",
"=",
"False",
"hparams",
".",
"learning_rate_warmup_steps",
"=",
"4000",
"hparams",
".",
"layer_prepostprocess_dropout",
"=",
"0.1",
"hparams",
".",
"batch_size",
"=",
"2048",
"hparams",
".",
"learning_rate",
"=",
"0.05",
"return",
"hparams"
] |
HParams for parsing on WSJ semi-supervised.
|
[
"HParams",
"for",
"parsing",
"on",
"WSJ",
"semi",
"-",
"supervised",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L1997-L2006
|
train
|
HParams for parsing on WSJ semi - supervised.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + '\x34' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110100) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(50) + '\060' + chr(2424 - 2373), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(232 - 181) + chr(229 - 177) + chr(2225 - 2175), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(174 - 123) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1439 - 1391) + chr(0b1101001 + 0o6) + '\x33' + chr(0b101100 + 0o6) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(650 - 599) + chr(1684 - 1634) + chr(0b110000), 28558 - 28550), ehT0Px3KOsy9('\060' + chr(0b100 + 0o153) + chr(0b11000 + 0o33) + chr(0b110 + 0o52) + chr(0b110000), 35429 - 35421), ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + chr(61 - 12) + '\x33' + chr(0b1101 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1010110 + 0o31) + chr(51) + '\063' + chr(2168 - 2113), 34033 - 34025), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1315 - 1264) + '\x37' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(855 - 807) + chr(0b1001111 + 0o40) + chr(0b110010) + chr(0b10100 + 0o35) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(391 - 341) + '\x30' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(10923 - 10812) + '\062' + chr(52) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(53) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(2245 - 2197) + chr(885 - 833), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\x34' + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11011 + 0o26) + '\063' + '\x35', 0o10), ehT0Px3KOsy9(chr(142 - 94) + chr(7019 - 6908) + chr(49) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1048 - 1000) + chr(9480 - 9369) + '\064' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(53), 35488 - 35480), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(9932 - 9821) + chr(0b100011 + 0o17) + '\x36' + chr(0b110110), 65467 - 65459), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\060' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3476 - 3365) + chr(2238 - 2189) + chr(51) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1987 - 1936) + chr(0b0 + 0o60) + chr(300 - 251), 8), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101111 + 0o2) + '\064' + chr(0b10101 + 0o33), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\x32' + '\060', 8), ehT0Px3KOsy9(chr(1288 - 1240) + chr(0b1101111) + '\061', 19970 - 19962), ehT0Px3KOsy9('\x30' + chr(111) + chr(1932 - 1879), 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b110011 + 0o74) + '\065' + '\x37', 0o10), ehT0Px3KOsy9(chr(842 - 794) + '\x6f' + chr(50) + chr(2879 - 2825) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(0b100110 + 0o14) + chr(54) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101000 + 0o16) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(412 - 364) + chr(0b100110 + 0o111) + chr(202 - 153) + chr(356 - 308) + chr(1247 - 1192), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(55) + '\066', 0o10), ehT0Px3KOsy9(chr(1669 - 1621) + chr(0b1101111) + chr(50) + chr(1940 - 1890) + chr(0b101000 + 0o16), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(54) + chr(0b100101 + 0o17), 14302 - 14294), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(0b110011) + '\064' + chr(2661 - 2607), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(2910 - 2855) + '\x31', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1424 - 1376) + chr(5388 - 5277) + chr(1099 - 1046) + chr(0b0 + 0o60), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\t'), chr(100) + chr(0b110010 + 0o63) + chr(0b10 + 0o141) + chr(111) + '\144' + chr(2347 - 2246))('\165' + '\164' + '\x66' + '\x2d' + chr(0b10101 + 0o43)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def j_M3WbJtGVMm():
n4ljua2gi1Pr = nN_LPsMGDqVG()
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110000) + chr(0b110000) + chr(0b110000), 0b1000)
n4ljua2gi1Pr.fHFfsvzq41Zm = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100110 + 0o12), 5806 - 5798)
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(2165 - 2117) + '\x6f' + '\x37' + chr(54) + '\x34' + chr(2069 - 2021), ord("\x08"))
n4ljua2gi1Pr.RW_xSzp18UeS = 0.1
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\060' + chr(8521 - 8410) + '\064' + chr(0b110000) + chr(948 - 900) + chr(48), 57034 - 57026)
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.05
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_base_range
|
def transformer_base_range(rhp):
"""Small range of hyperparameters."""
# After starting from base, set intervals for some parameters.
rhp.set_float("learning_rate", 0.3, 3.0, scale=rhp.LOG_SCALE)
rhp.set_discrete("learning_rate_warmup_steps",
[1000, 2000, 4000, 8000, 16000])
rhp.set_float("initializer_gain", 0.5, 2.0)
rhp.set_float("optimizer_adam_beta1", 0.85, 0.95)
rhp.set_float("optimizer_adam_beta2", 0.97, 0.99)
rhp.set_float("weight_decay", 0.0, 1e-4)
|
python
|
def transformer_base_range(rhp):
"""Small range of hyperparameters."""
# After starting from base, set intervals for some parameters.
rhp.set_float("learning_rate", 0.3, 3.0, scale=rhp.LOG_SCALE)
rhp.set_discrete("learning_rate_warmup_steps",
[1000, 2000, 4000, 8000, 16000])
rhp.set_float("initializer_gain", 0.5, 2.0)
rhp.set_float("optimizer_adam_beta1", 0.85, 0.95)
rhp.set_float("optimizer_adam_beta2", 0.97, 0.99)
rhp.set_float("weight_decay", 0.0, 1e-4)
|
[
"def",
"transformer_base_range",
"(",
"rhp",
")",
":",
"# After starting from base, set intervals for some parameters.",
"rhp",
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"set_float",
"(",
"\"learning_rate\"",
",",
"0.3",
",",
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",",
"scale",
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"LOG_SCALE",
")",
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"set_discrete",
"(",
"\"learning_rate_warmup_steps\"",
",",
"[",
"1000",
",",
"2000",
",",
"4000",
",",
"8000",
",",
"16000",
"]",
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"rhp",
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"set_float",
"(",
"\"initializer_gain\"",
",",
"0.5",
",",
"2.0",
")",
"rhp",
".",
"set_float",
"(",
"\"optimizer_adam_beta1\"",
",",
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",",
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")",
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".",
"set_float",
"(",
"\"optimizer_adam_beta2\"",
",",
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",",
"0.99",
")",
"rhp",
".",
"set_float",
"(",
"\"weight_decay\"",
",",
"0.0",
",",
"1e-4",
")"
] |
Small range of hyperparameters.
|
[
"Small",
"range",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2250-L2259
|
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(chr(0b11000 + 0o30) + chr(1190 - 1079) + chr(0b110010) + chr(52) + chr(54), 0b1000), ehT0Px3KOsy9(chr(2271 - 2223) + chr(111) + '\063' + chr(52) + chr(0b11110 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(0b11111 + 0o22) + '\062' + '\062', 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(51) + '\x34' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(11376 - 11265) + chr(0b110010) + chr(0b1011 + 0o47) + chr(51), 24698 - 24690), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b110000 + 0o2) + '\x30', 0o10), ehT0Px3KOsy9(chr(1489 - 1441) + '\157' + chr(63 - 13) + chr(2142 - 2090) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1335 - 1287) + chr(0b1101111) + chr(1707 - 1656) + chr(0b1101 + 0o51) + chr(0b101001 + 0o16), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(50) + chr(53), 5913 - 5905), ehT0Px3KOsy9(chr(48) + chr(2056 - 1945) + chr(0b1001 + 0o50) + chr(0b110010) + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\x37' + chr(55), 17106 - 17098), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(452 - 403) + chr(0b110000) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + '\x31' + chr(1727 - 1673) + chr(2410 - 2357), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1111 + 0o140) + chr(0b110010) + chr(50) + chr(1372 - 1323), 35138 - 35130), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(2176 - 2127) + chr(48) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(54) + chr(0b10010 + 0o44), 47979 - 47971), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110101) + chr(50), 39074 - 39066), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(2686 - 2633) + chr(1962 - 1910), 63804 - 63796), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + chr(0b11001 + 0o33), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1576 - 1465) + chr(0b10110 + 0o33) + '\x32' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(52) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b11101 + 0o25) + chr(0b10000 + 0o47), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(1243 - 1189) + '\x37', 61522 - 61514), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(815 - 764) + chr(1832 - 1780), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(4604 - 4493) + chr(51) + chr(0b110101) + chr(0b1111 + 0o42), 17590 - 17582), ehT0Px3KOsy9(chr(1394 - 1346) + '\x6f' + '\x32' + chr(0b1011 + 0o47) + chr(0b10100 + 0o37), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\064' + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(55) + chr(0b1001 + 0o52), 0b1000), ehT0Px3KOsy9(chr(2144 - 2096) + '\157' + '\x31' + chr(1765 - 1713) + chr(0b1110 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + '\061' + chr(55), 28365 - 28357), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b110111) + chr(1785 - 1736), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + chr(2328 - 2273) + '\065', 0b1000), ehT0Px3KOsy9(chr(642 - 594) + '\157' + '\061' + chr(0b110111) + chr(54), 0b1000), ehT0Px3KOsy9(chr(576 - 528) + chr(0b110001 + 0o76) + chr(0b10111 + 0o34) + chr(0b11110 + 0o22) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + '\x31' + chr(0b10000 + 0o46) + '\065', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1407 - 1358) + '\060' + chr(0b110001), 50943 - 50935), ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + '\x32' + '\x36' + chr(52), 1204 - 1196), ehT0Px3KOsy9(chr(670 - 622) + chr(0b1101111) + chr(51) + '\x30' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11001 + 0o36) + chr(0b110011), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x37' + '\x32', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100111 + 0o16) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x88'), chr(100) + chr(0b110101 + 0o60) + chr(4396 - 4297) + chr(111) + chr(0b1100100) + '\145')('\x75' + chr(1686 - 1570) + '\146' + chr(0b101101) + chr(0b110000 + 0o10)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ayplXWvZCIpK(IwsgmEzQknPc):
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x81&\xb8\xf5\xfc\xca\x96\xe1'), chr(0b1111 + 0o125) + chr(0b11000 + 0o115) + chr(99) + chr(111) + chr(1155 - 1055) + chr(8400 - 8299))(chr(0b1110101) + '\164' + chr(0b101000 + 0o76) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\x813\x95\xfd\xf9\xcb\x90\xca%\xde3\x10'), '\144' + chr(0b1100101) + chr(99) + chr(194 - 83) + chr(100) + '\x65')('\165' + chr(116) + '\146' + chr(0b11011 + 0o22) + chr(1754 - 1698)), 0.3, 3.0, scale=xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xab\x15\xb8\xc0\xd3\xe4\xbb\xd0'), chr(667 - 567) + '\x65' + chr(99) + chr(0b1101111) + '\x64' + chr(101))(chr(12489 - 12372) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b11000 + 0o40))))
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x81&\xb8\xf7\xf9\xd6\x94\xe72\xcb"'), chr(0b1100100) + chr(0b1100101) + chr(4392 - 4293) + '\157' + '\144' + chr(0b1100101))(chr(4891 - 4774) + chr(116) + chr(102) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\x813\x95\xfd\xf9\xcb\x90\xca%\xde3\x10\xce1\x97X\xc1Y#x\xe4\x03y\x99\xe0'), '\144' + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b10100 + 0o120) + '\145')('\x75' + chr(0b1110100) + chr(102) + chr(45) + '\x38'), [ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(0b110001) + chr(0b10100 + 0o43) + '\x35' + chr(0b101011 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\067' + '\x32' + chr(0b1000 + 0o50), 0o10), ehT0Px3KOsy9('\060' + chr(4200 - 4089) + chr(0b110111) + chr(1049 - 995) + chr(0b1001 + 0o53) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100 + 0o55) + '\x37' + chr(0b101111 + 0o6) + chr(0b11000 + 0o30) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\067' + chr(50) + '\x30' + chr(2208 - 2160), 0b1000)])
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x81&\xb8\xf5\xfc\xca\x96\xe1'), chr(0b1100100) + chr(6573 - 6472) + chr(401 - 302) + chr(8420 - 8309) + chr(100) + chr(5087 - 4986))(chr(117) + chr(9897 - 9781) + '\146' + '\055' + chr(1409 - 1353)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\x8a;\x93\xfa\xf1\xc9\x9e\xef2\xcd\x18\x12\xf0/\x98'), chr(0b1100100) + chr(10163 - 10062) + chr(0b1100011) + chr(0b1011010 + 0o25) + '\144' + '\145')(chr(117) + chr(0b110 + 0o156) + '\146' + chr(233 - 188) + chr(0b1110 + 0o52)), 0.5, 2.0)
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x81&\xb8\xf5\xfc\xca\x96\xe1'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\x6f' + chr(0b111100 + 0o50) + '\x65')(chr(0b1110101) + chr(0b101 + 0o157) + chr(0b1100110) + chr(45) + chr(2081 - 2025)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\x94&\x8e\xfe\xf9\xdf\x92\xe7\x08\xde#\x14\xfc\x19\x94O\xd8Mb'), chr(0b1100100) + '\x65' + '\143' + chr(0b1101111) + chr(0b1010001 + 0o23) + chr(0b1000100 + 0o41))(chr(0b1110101) + '\164' + chr(102) + chr(714 - 669) + chr(705 - 649)), 0.85, 0.95)
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x81&\xb8\xf5\xfc\xca\x96\xe1'), chr(100) + chr(0b1011 + 0o132) + chr(0b111110 + 0o45) + '\157' + '\x64' + '\145')(chr(0b110011 + 0o102) + chr(0b1110100) + '\146' + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\x94&\x8e\xfe\xf9\xdf\x92\xe7\x08\xde#\x14\xfc\x19\x94O\xd8Ma'), '\x64' + '\x65' + '\x63' + '\157' + '\144' + chr(8441 - 8340))('\x75' + chr(0b1000001 + 0o63) + '\x66' + chr(0b101101) + chr(0b1000 + 0o60)), 0.97, 0.99)
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x81&\xb8\xf5\xfc\xca\x96\xe1'), chr(100) + '\145' + chr(0b1101 + 0o126) + chr(7680 - 7569) + '\144' + '\x65')('\165' + chr(13385 - 13269) + chr(5197 - 5095) + '\x2d' + chr(0b11 + 0o65)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x81;\x80\xfb\xe4\xfa\x93\xf04\xde>'), chr(0b101101 + 0o67) + chr(8494 - 8393) + chr(1945 - 1846) + chr(0b10 + 0o155) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(13107 - 12991) + chr(6740 - 6638) + chr(1360 - 1315) + chr(1974 - 1918)), 0.0, 0.0001)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_relative
|
def transformer_relative():
"""Use relative position embeddings instead of absolute position encodings."""
hparams = transformer_base()
hparams.pos = None
hparams.self_attention_type = "dot_product_relative"
hparams.max_relative_position = 20
return hparams
|
python
|
def transformer_relative():
"""Use relative position embeddings instead of absolute position encodings."""
hparams = transformer_base()
hparams.pos = None
hparams.self_attention_type = "dot_product_relative"
hparams.max_relative_position = 20
return hparams
|
[
"def",
"transformer_relative",
"(",
")",
":",
"hparams",
"=",
"transformer_base",
"(",
")",
"hparams",
".",
"pos",
"=",
"None",
"hparams",
".",
"self_attention_type",
"=",
"\"dot_product_relative\"",
"hparams",
".",
"max_relative_position",
"=",
"20",
"return",
"hparams"
] |
Use relative position embeddings instead of absolute position encodings.
|
[
"Use",
"relative",
"position",
"embeddings",
"instead",
"of",
"absolute",
"position",
"encodings",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2263-L2269
|
train
|
Use relative position embeddings instead of absolute position encodings.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b10011 + 0o37) + '\x36', 44391 - 44383), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(52) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\x32' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1302 - 1254) + '\x6f' + chr(151 - 100) + chr(0b10100 + 0o37) + chr(55), 62310 - 62302), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b110110) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(50) + '\061' + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(5154 - 5043) + '\063' + chr(0b110011) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110100) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(2461 - 2411) + chr(51), 2789 - 2781), ehT0Px3KOsy9('\x30' + chr(11566 - 11455) + chr(0b110001) + chr(48) + chr(0b11110 + 0o26), 31794 - 31786), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1659 - 1605) + chr(781 - 732), 56942 - 56934), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2115 - 2064) + chr(0b110011) + chr(0b10111 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b110000 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(2698 - 2587) + chr(0b11111 + 0o26) + chr(53), 1540 - 1532), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b10011 + 0o40) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110000) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000 + 0o2) + chr(49) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x37' + chr(0b100011 + 0o21), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + '\x31' + '\062' + chr(0b1110 + 0o42), 26603 - 26595), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(5021 - 4910) + '\x32' + chr(0b10100 + 0o36) + chr(0b11110 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(1939 - 1891) + '\062', 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b11100 + 0o123) + '\x31' + '\x33' + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(54) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(0b110001) + chr(906 - 855) + chr(0b10011 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10001 + 0o41) + chr(1854 - 1802) + chr(1413 - 1363), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b11001 + 0o126) + '\x34' + chr(2205 - 2150), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(0b10101 + 0o35) + chr(1894 - 1844) + chr(0b11 + 0o63), ord("\x08")), ehT0Px3KOsy9(chr(753 - 705) + '\x6f' + chr(49) + chr(0b110110) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(1200 - 1147) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(1860 - 1749) + chr(1130 - 1079) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10111 + 0o32) + chr(0b1000 + 0o50) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(939 - 891) + chr(111) + chr(0b110011) + '\067' + chr(2591 - 2538), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(583 - 534) + '\x36' + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(705 - 651) + '\061', 8), ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + '\x32' + chr(51) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\067' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(52), 8), ehT0Px3KOsy9(chr(1134 - 1086) + '\x6f' + chr(2359 - 2310) + chr(1492 - 1437) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(52) + chr(0b110111), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x35' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8'), '\144' + chr(101) + '\x63' + '\x6f' + chr(0b1010000 + 0o24) + chr(0b1000100 + 0o41))(chr(1066 - 949) + chr(12197 - 12081) + chr(0b101001 + 0o75) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kP1FYEbvcvrX():
n4ljua2gi1Pr = ciSuZsJ0n_gI()
n4ljua2gi1Pr.NXd0aqYJd4lK = None
n4ljua2gi1Pr.tbgb2B3hnGPW = xafqLlk3kkUe(SXOLrMavuUCe(b"\xb2\xcd\xa5\x80\xc1\xfc\xb1\x03f'E\x84fH\xb1&\xf8U&\xf2"), '\144' + '\x65' + chr(99) + '\157' + '\144' + '\145')(chr(117) + '\x74' + chr(0b1100110) + chr(0b101000 + 0o5) + '\070')
n4ljua2gi1Pr.Fskwuexcn3MJ = ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b10100 + 0o40), 8)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_mlperf_tpu
|
def transformer_mlperf_tpu():
"""HParams for Transformer model on TPU for MLPerf on TPU 2x2."""
hparams = transformer_base_v3()
hparams.mlperf_mode = True
hparams.symbol_modality_num_shards = 1
hparams.max_length = 256 # ignored when using "_packed" problems
hparams.batch_size = 2048 # per-chip batch size matches the reference model
hparams.hidden_size = 1024
hparams.filter_size = 4096
hparams.num_heads = 16
hparams.attention_dropout_broadcast_dims = "0,1" # batch, heads
hparams.relu_dropout_broadcast_dims = "1" # length
hparams.layer_prepostprocess_dropout_broadcast_dims = "1" # length
return hparams
|
python
|
def transformer_mlperf_tpu():
"""HParams for Transformer model on TPU for MLPerf on TPU 2x2."""
hparams = transformer_base_v3()
hparams.mlperf_mode = True
hparams.symbol_modality_num_shards = 1
hparams.max_length = 256 # ignored when using "_packed" problems
hparams.batch_size = 2048 # per-chip batch size matches the reference model
hparams.hidden_size = 1024
hparams.filter_size = 4096
hparams.num_heads = 16
hparams.attention_dropout_broadcast_dims = "0,1" # batch, heads
hparams.relu_dropout_broadcast_dims = "1" # length
hparams.layer_prepostprocess_dropout_broadcast_dims = "1" # length
return hparams
|
[
"def",
"transformer_mlperf_tpu",
"(",
")",
":",
"hparams",
"=",
"transformer_base_v3",
"(",
")",
"hparams",
".",
"mlperf_mode",
"=",
"True",
"hparams",
".",
"symbol_modality_num_shards",
"=",
"1",
"hparams",
".",
"max_length",
"=",
"256",
"# ignored when using \"_packed\" problems",
"hparams",
".",
"batch_size",
"=",
"2048",
"# per-chip batch size matches the reference model",
"hparams",
".",
"hidden_size",
"=",
"1024",
"hparams",
".",
"filter_size",
"=",
"4096",
"hparams",
".",
"num_heads",
"=",
"16",
"hparams",
".",
"attention_dropout_broadcast_dims",
"=",
"\"0,1\"",
"# batch, heads",
"hparams",
".",
"relu_dropout_broadcast_dims",
"=",
"\"1\"",
"# length",
"hparams",
".",
"layer_prepostprocess_dropout_broadcast_dims",
"=",
"\"1\"",
"# length",
"return",
"hparams"
] |
HParams for Transformer model on TPU for MLPerf on TPU 2x2.
|
[
"HParams",
"for",
"Transformer",
"model",
"on",
"TPU",
"for",
"MLPerf",
"on",
"TPU",
"2x2",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2300-L2313
|
train
|
HParams for Transformer model on TPU 2x2.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2055 - 2007) + chr(0b1101111) + '\063' + chr(2307 - 2258) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b1 + 0o63) + chr(229 - 179), 24566 - 24558), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b11 + 0o64) + '\x31', 10398 - 10390), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + '\062' + chr(2102 - 2047) + chr(0b1101 + 0o47), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10010 + 0o41) + '\060' + chr(364 - 309), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101100 + 0o3) + '\x32' + chr(0b110100) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b101010 + 0o11) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100010 + 0o115) + chr(50) + '\060' + chr(0b10011 + 0o35), 0b1000), ehT0Px3KOsy9('\060' + chr(9602 - 9491) + chr(51) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(2853 - 2742) + '\x31' + chr(0b110 + 0o61) + chr(2035 - 1984), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(414 - 365) + chr(0b11011 + 0o32) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(1463 - 1410) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\x32' + chr(2128 - 2078), 62459 - 62451), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b1 + 0o62) + chr(1414 - 1365) + '\064', 62292 - 62284), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\x32' + chr(0b110110), 58458 - 58450), ehT0Px3KOsy9(chr(972 - 924) + '\157' + '\x33' + chr(2131 - 2081) + chr(0b110010), 8), ehT0Px3KOsy9(chr(1307 - 1259) + chr(111) + chr(61 - 13), 49649 - 49641), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101010 + 0o7) + '\x32' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(54) + '\066', 24979 - 24971), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(55) + chr(0b110100 + 0o1), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7325 - 7214) + chr(787 - 738) + '\x34' + chr(0b1111 + 0o50), 44215 - 44207), ehT0Px3KOsy9(chr(1193 - 1145) + '\x6f' + chr(0b101101 + 0o4) + chr(0b110110) + '\060', 0b1000), ehT0Px3KOsy9(chr(2170 - 2122) + chr(0b1101111) + chr(0b110011) + chr(0b110101) + chr(48), 18763 - 18755), ehT0Px3KOsy9(chr(1873 - 1825) + chr(0b1010111 + 0o30) + '\x33' + '\067' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + chr(0b110001) + chr(0b110010) + chr(49), 39494 - 39486), ehT0Px3KOsy9(chr(678 - 630) + '\157' + '\x31' + chr(0b10001 + 0o45) + chr(741 - 693), 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + chr(0b101111 + 0o2) + chr(55) + chr(0b110010), 64816 - 64808), ehT0Px3KOsy9(chr(0b110000) + chr(5140 - 5029) + chr(0b110001) + '\067' + chr(0b110011), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\x34' + '\066', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\x32' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(997 - 949) + chr(111) + chr(1857 - 1808) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\066' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + '\x32' + chr(54) + '\x37', 0b1000), ehT0Px3KOsy9(chr(148 - 100) + chr(0b1 + 0o156) + chr(0b1001 + 0o50) + chr(0b101000 + 0o17) + '\x36', 49320 - 49312), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100010 + 0o15) + chr(0b11111 + 0o22) + '\x37' + '\065', 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1010011 + 0o34) + chr(0b110001) + chr(0b101111 + 0o2) + chr(0b101111 + 0o1), 32768 - 32760), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(0b110011) + chr(0b110001) + chr(0b111 + 0o51), 5498 - 5490), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1101 + 0o45) + chr(0b10111 + 0o32) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b11 + 0o55) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7170 - 7059) + chr(49), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1010010 + 0o35) + chr(53) + '\x30', 31555 - 31547)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4'), chr(0b1001001 + 0o33) + chr(0b111011 + 0o52) + '\143' + chr(3193 - 3082) + chr(450 - 350) + chr(0b1101 + 0o130))(chr(0b1110101) + chr(0b101110 + 0o106) + '\146' + chr(0b101101) + chr(536 - 480)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def hxPCnR8tii9e():
n4ljua2gi1Pr = YKiIA8zPhNFb()
n4ljua2gi1Pr.vOT9RYrTX9PV = ehT0Px3KOsy9('\x30' + '\x6f' + '\x31', 8)
n4ljua2gi1Pr.iBYlnqUAwgIX = ehT0Px3KOsy9('\x30' + chr(111) + chr(152 - 103), 8)
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b111111 + 0o60) + chr(0b110100) + chr(1697 - 1649) + '\x30', ord("\x08"))
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\064' + '\x30' + chr(48) + chr(48), ord("\x08"))
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9('\x30' + chr(10393 - 10282) + '\062' + '\x30' + '\060' + chr(48), 0b1000)
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10000 + 0o41) + chr(0b110000) + '\x30' + chr(2297 - 2249) + '\x30', 0b1000)
n4ljua2gi1Pr.vRVqPOZ1hUG7 = ehT0Px3KOsy9(chr(965 - 917) + '\x6f' + '\062' + '\060', 0o10)
n4ljua2gi1Pr.UNqT6jwzCz6Y = xafqLlk3kkUe(SXOLrMavuUCe(b'\xfaN\x88'), '\x64' + chr(3835 - 3734) + '\x63' + chr(11354 - 11243) + chr(4515 - 4415) + '\x65')(chr(0b110000 + 0o105) + chr(0b100100 + 0o120) + '\x66' + chr(0b101101) + chr(495 - 439))
n4ljua2gi1Pr.xC8v_AiQ1DCT = xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb'), '\144' + chr(5750 - 5649) + chr(5316 - 5217) + chr(111) + chr(0b11 + 0o141) + '\145')(chr(10988 - 10871) + chr(116) + chr(6272 - 6170) + chr(45) + chr(0b111000))
n4ljua2gi1Pr.An2Jt26Rv5CT = xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb'), chr(0b1100100) + chr(101) + '\x63' + '\x6f' + '\144' + '\x65')('\x75' + '\x74' + '\x66' + '\x2d' + '\070')
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
update_hparams_for_tpu
|
def update_hparams_for_tpu(hparams):
"""Change hparams to be compatible with TPU training."""
# Adafactor uses less memory than Adam.
# switch to Adafactor with its recommended learning rate scheme.
hparams.optimizer = "Adafactor"
hparams.learning_rate_schedule = "rsqrt_decay"
hparams.learning_rate_warmup_steps = 10000
# Avoid an expensive concat on TPU.
# >1 shards helps with faster parameter distribution on multi-GPU machines
hparams.symbol_modality_num_shards = 1
# Adaptive batch sizes and sequence lengths are not supported on TPU.
# Instead, every batch has the same sequence length and the same batch size.
# Longer sequences are dropped and shorter ones are padded.
#
# It is therefore suggested to use a problem where examples have been combined
# to a longer length, e.g. the "_packed" problems.
#
# For problems with variable sequence lengths, this parameter controls the
# maximum sequence length. Shorter sequences are dropped and longer ones
# are padded.
#
# For problems with fixed sequence lengths - e.g. the "_packed" problems,
# this hyperparameter is ignored.
hparams.max_length = 64
# TPUs have less memory than GPUs, so decrease the batch size
hparams.batch_size = 2048
# Using noise broadcast in the dropout layers saves memory during training.
hparams.attention_dropout_broadcast_dims = "0,1" # batch, heads
hparams.relu_dropout_broadcast_dims = "1" # length
hparams.layer_prepostprocess_dropout_broadcast_dims = "1" # length
return hparams
|
python
|
def update_hparams_for_tpu(hparams):
"""Change hparams to be compatible with TPU training."""
# Adafactor uses less memory than Adam.
# switch to Adafactor with its recommended learning rate scheme.
hparams.optimizer = "Adafactor"
hparams.learning_rate_schedule = "rsqrt_decay"
hparams.learning_rate_warmup_steps = 10000
# Avoid an expensive concat on TPU.
# >1 shards helps with faster parameter distribution on multi-GPU machines
hparams.symbol_modality_num_shards = 1
# Adaptive batch sizes and sequence lengths are not supported on TPU.
# Instead, every batch has the same sequence length and the same batch size.
# Longer sequences are dropped and shorter ones are padded.
#
# It is therefore suggested to use a problem where examples have been combined
# to a longer length, e.g. the "_packed" problems.
#
# For problems with variable sequence lengths, this parameter controls the
# maximum sequence length. Shorter sequences are dropped and longer ones
# are padded.
#
# For problems with fixed sequence lengths - e.g. the "_packed" problems,
# this hyperparameter is ignored.
hparams.max_length = 64
# TPUs have less memory than GPUs, so decrease the batch size
hparams.batch_size = 2048
# Using noise broadcast in the dropout layers saves memory during training.
hparams.attention_dropout_broadcast_dims = "0,1" # batch, heads
hparams.relu_dropout_broadcast_dims = "1" # length
hparams.layer_prepostprocess_dropout_broadcast_dims = "1" # length
return hparams
|
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"10000",
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"1",
"# Adaptive batch sizes and sequence lengths are not supported on TPU.",
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] |
Change hparams to be compatible with TPU training.
|
[
"Change",
"hparams",
"to",
"be",
"compatible",
"with",
"TPU",
"training",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2316-L2351
|
train
|
Change hparams to be compatible with TPU training.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + chr(2312 - 2263) + '\061' + chr(0b10000 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(474 - 363) + '\062' + '\064' + chr(0b1111 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(0b110011) + '\063' + chr(0b10000 + 0o42), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(55) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(356 - 306) + chr(2372 - 2317) + chr(0b110000), 35114 - 35106), ehT0Px3KOsy9('\060' + chr(0b1011100 + 0o23) + chr(0b110011) + '\065' + chr(0b110110), 39483 - 39475), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100000 + 0o21) + chr(919 - 864) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010001 + 0o36) + chr(119 - 70) + '\x36', 19867 - 19859), ehT0Px3KOsy9('\060' + chr(0b110001 + 0o76) + chr(51) + '\x37' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(9843 - 9732) + chr(2007 - 1957) + chr(0b11011 + 0o30) + '\066', 52250 - 52242), ehT0Px3KOsy9(chr(1661 - 1613) + '\x6f' + '\x33' + chr(50) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(926 - 815) + chr(0b110001) + chr(2836 - 2781), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + '\061' + chr(48) + chr(1197 - 1146), 55404 - 55396), ehT0Px3KOsy9(chr(1631 - 1583) + '\157' + chr(49) + chr(1005 - 954) + '\064', 56050 - 56042), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(53) + chr(867 - 817), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\x35' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6175 - 6064) + '\x37', 0o10), ehT0Px3KOsy9(chr(1438 - 1390) + '\x6f' + '\x33' + '\x34' + '\x37', 40172 - 40164), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101011 + 0o6) + '\063' + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + chr(5220 - 5109) + chr(1734 - 1683) + '\x35' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b110111) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + '\062' + chr(1546 - 1492) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\067' + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\x34' + chr(51), 24483 - 24475), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101011 + 0o7) + chr(1096 - 1046) + chr(2593 - 2540), 32526 - 32518), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(1716 - 1667), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1798 - 1748) + chr(0b110010 + 0o3) + chr(0b1010 + 0o54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + chr(0b110100) + chr(1906 - 1851), 0b1000), ehT0Px3KOsy9(chr(1163 - 1115) + chr(0b111110 + 0o61) + chr(0b110000 + 0o2) + chr(0b110100) + chr(1584 - 1535), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + chr(0b10011 + 0o37) + '\x37' + chr(215 - 163), 13290 - 13282), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2168 - 2118) + chr(1253 - 1202) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100101 + 0o14) + '\x31' + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\065' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(1787 - 1739) + chr(2747 - 2636) + chr(0b110011) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(955 - 904) + chr(0b110011) + chr(1639 - 1584), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b101110 + 0o101) + chr(0b110011) + chr(0b110100) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(1293 - 1243) + '\x37' + chr(998 - 946), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1010001 + 0o36) + chr(51) + '\066', 42960 - 42952), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + '\x31' + '\x34' + chr(49), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(2004 - 1893) + chr(689 - 636) + '\x30', 47664 - 47656)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'b'), chr(100) + chr(101) + '\143' + '\x6f' + chr(0b1000000 + 0o44) + chr(0b1110 + 0o127))(chr(0b1110101) + '\164' + '\x66' + chr(0b11001 + 0o24) + chr(2050 - 1994)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gWr33mh0VbqT(n4ljua2gi1Pr):
n4ljua2gi1Pr.XdKNcYRObPK3 = xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xc6\xbbZ\xd9\x8d\x0ca\x8f'), chr(0b1010111 + 0o15) + '\x65' + chr(0b101 + 0o136) + chr(111) + chr(0b1100100) + chr(0b1001011 + 0o32))(chr(117) + chr(0b1110100) + chr(102) + '\x2d' + chr(2897 - 2841))
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'>\xd1\xabN\xcc\xb1\x1ck\x9e\xff\xa8'), chr(100) + chr(0b1011001 + 0o14) + '\x63' + chr(1304 - 1193) + '\x64' + chr(0b1100101))('\x75' + chr(116) + chr(0b1100110) + chr(45) + '\070')
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(2499 - 2449) + chr(0b110011) + '\064' + chr(0b10100 + 0o36) + chr(48), 0b1000)
n4ljua2gi1Pr.iBYlnqUAwgIX = ehT0Px3KOsy9(chr(1895 - 1847) + chr(0b1101111) + chr(1217 - 1168), 0o10)
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + '\x31' + chr(760 - 712) + '\060', 0b1000)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\x30' + chr(0b1010010 + 0o35) + chr(0b110001 + 0o3) + chr(48) + chr(1211 - 1163) + '\060', 0b1000)
n4ljua2gi1Pr.UNqT6jwzCz6Y = xafqLlk3kkUe(SXOLrMavuUCe(b'|\x8e\xeb'), chr(5778 - 5678) + chr(0b1100101) + chr(8643 - 8544) + '\x6f' + chr(0b110001 + 0o63) + '\x65')(chr(0b1110101) + '\x74' + '\x66' + chr(0b101101) + chr(0b111000))
n4ljua2gi1Pr.xC8v_AiQ1DCT = xafqLlk3kkUe(SXOLrMavuUCe(b'}'), '\144' + chr(0b1100101) + '\143' + '\x6f' + '\144' + chr(0b1100101))('\165' + chr(0b1100000 + 0o24) + '\146' + chr(0b101101) + '\x38')
n4ljua2gi1Pr.An2Jt26Rv5CT = xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(0b1100010 + 0o2) + '\x65' + chr(3393 - 3294) + '\157' + chr(0b10000 + 0o124) + chr(0b1010010 + 0o23))(chr(0b1110 + 0o147) + chr(0b1010100 + 0o40) + '\146' + chr(0b100110 + 0o7) + chr(0b111000))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_tpu_range
|
def transformer_tpu_range(rhp):
"""Small range of hyperparameters."""
# After starting from base, set intervals for some parameters.
rhp.set_float("learning_rate", 0.3, 3.0, scale=rhp.LOG_SCALE)
rhp.set_discrete("learning_rate_warmup_steps",
[1000, 2000, 4000, 8000, 16000])
rhp.set_float("initializer_gain", 0.5, 2.0)
rhp.set_float("optimizer_adam_beta1", 0.85, 0.95)
rhp.set_float("optimizer_adam_beta2", 0.97, 0.99)
rhp.set_float("weight_decay", 0.0, 2.0)
|
python
|
def transformer_tpu_range(rhp):
"""Small range of hyperparameters."""
# After starting from base, set intervals for some parameters.
rhp.set_float("learning_rate", 0.3, 3.0, scale=rhp.LOG_SCALE)
rhp.set_discrete("learning_rate_warmup_steps",
[1000, 2000, 4000, 8000, 16000])
rhp.set_float("initializer_gain", 0.5, 2.0)
rhp.set_float("optimizer_adam_beta1", 0.85, 0.95)
rhp.set_float("optimizer_adam_beta2", 0.97, 0.99)
rhp.set_float("weight_decay", 0.0, 2.0)
|
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] |
Small range of hyperparameters.
|
[
"Small",
"range",
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"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2416-L2425
|
train
|
Small range of hyperparameters for TPU.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b1001100 + 0o43) + '\x33' + chr(2086 - 2031) + chr(0b110101 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110) + chr(0b101000 + 0o10), 46987 - 46979), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2392 - 2338) + '\065', 59649 - 59641), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1000000 + 0o57) + chr(0b11100 + 0o25) + chr(1476 - 1428) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\067' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1662 - 1614) + '\157' + '\061' + chr(0b110011) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8965 - 8854) + chr(0b1101 + 0o44) + chr(53) + '\x34', 0b1000), ehT0Px3KOsy9(chr(1151 - 1103) + chr(0b1011110 + 0o21) + chr(0b110011) + chr(1048 - 996) + chr(1165 - 1117), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + chr(796 - 741) + '\066', 56284 - 56276), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(3682 - 3571) + chr(0b1000 + 0o52) + '\066' + chr(0b100001 + 0o22), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(0b110101) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(0b110011) + chr(0b110110) + chr(0b100110 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(1240 - 1192) + chr(0b111100 + 0o63) + '\063' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1600 - 1552) + chr(111) + chr(0b110111) + chr(0b1110 + 0o42), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\x34' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x31', 26963 - 26955), ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + '\x31' + '\062' + chr(55), 15076 - 15068), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b110111) + '\x36', 58319 - 58311), ehT0Px3KOsy9(chr(750 - 702) + chr(0b110111 + 0o70) + chr(541 - 492) + chr(50) + chr(0b11111 + 0o24), 0o10), ehT0Px3KOsy9(chr(1665 - 1617) + chr(0b1101111) + chr(0b100011 + 0o16) + chr(49) + '\061', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110011) + chr(0b1100 + 0o46), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(984 - 929) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(2365 - 2314) + chr(0b110010) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(2054 - 2002) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(11897 - 11786) + chr(0b11101 + 0o25) + chr(1744 - 1693) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(1779 - 1724) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100) + chr(0b110100), 29515 - 29507), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10011 + 0o36) + chr(0b100100 + 0o22) + chr(0b100 + 0o57), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\061' + chr(0b100101 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101100 + 0o5) + chr(586 - 535) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11000 + 0o32) + '\066' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(0b110001) + chr(0b110000), 63647 - 63639), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(50) + chr(0b1010 + 0o55), 23725 - 23717), ehT0Px3KOsy9(chr(2186 - 2138) + chr(0b1100101 + 0o12) + '\062' + '\x36', 0b1000), ehT0Px3KOsy9(chr(1294 - 1246) + '\x6f' + '\062' + chr(0b110001) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100 + 0o55) + '\x35' + chr(0b101100 + 0o5), 0b1000), ehT0Px3KOsy9('\060' + chr(9898 - 9787) + chr(1507 - 1456) + '\x35' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + chr(0b10 + 0o57) + chr(52) + chr(1354 - 1306), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(259 - 206) + '\x30', 29636 - 29628)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1'), chr(0b101 + 0o137) + chr(101) + chr(0b1100011) + chr(9988 - 9877) + '\144' + '\x65')('\165' + chr(13060 - 12944) + chr(4097 - 3995) + chr(0b101101) + chr(0b111000 + 0o0)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def oQXoJZfOPmsi(IwsgmEzQknPc):
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cUA\x1d\x1e2\x03\x81J'), '\x64' + chr(0b1100101) + chr(208 - 109) + '\x6f' + chr(0b1100100) + '\x65')('\x75' + chr(116) + '\146' + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x93UT0\x167\x02\x87a\xc1H\x84}'), '\x64' + chr(7713 - 7612) + chr(0b11000 + 0o113) + '\157' + '\144' + chr(2774 - 2673))('\165' + chr(116) + chr(9867 - 9765) + chr(1022 - 977) + '\070'), 0.3, 3.0, scale=xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\x7fr\x1d+\x1d-\xac{'), chr(8754 - 8654) + chr(0b1 + 0o144) + '\x63' + chr(0b1101111) + '\x64' + chr(0b1001000 + 0o35))(chr(827 - 710) + chr(116) + chr(0b101010 + 0o74) + chr(45) + chr(56))))
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cUA\x1d\x1c7\x1f\x83L\xd6]\x95'), chr(761 - 661) + chr(101) + chr(99) + '\x6f' + chr(3619 - 3519) + chr(0b101111 + 0o66))(chr(0b1110101) + chr(9576 - 9460) + chr(0b110111 + 0o57) + chr(1305 - 1260) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x93UT0\x167\x02\x87a\xc1H\x84}g\x10p%\xd3&9\x85O\xa0\xc3\xeb\xcb'), chr(100) + chr(0b1011 + 0o132) + chr(99) + '\157' + chr(100) + '\x65')(chr(0b1110101) + chr(2766 - 2650) + '\x66' + chr(45) + '\x38'), [ehT0Px3KOsy9(chr(706 - 658) + chr(111) + chr(0b110001) + '\x37' + '\x35' + chr(850 - 802), 109 - 101), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1763 - 1712) + chr(55) + chr(0b100 + 0o56) + chr(1629 - 1581), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(55) + chr(0b110110) + chr(1715 - 1663) + '\x30', 0o10), ehT0Px3KOsy9(chr(519 - 471) + '\x6f' + '\061' + chr(876 - 821) + chr(0b1010 + 0o53) + chr(0b110000) + chr(0b110000), 6961 - 6953), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b111 + 0o60) + chr(50) + chr(0b110000) + '\x30', 0b1000)])
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cUA\x1d\x1e2\x03\x81J'), chr(0b1100100) + '\x65' + chr(6775 - 6676) + chr(0b10011 + 0o134) + '\x64' + chr(0b100100 + 0o101))('\x75' + chr(116) + chr(0b1100110) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x96^\\6\x11?\x00\x89D\xd6[\xaf\x7fY\x0e\x7f'), chr(1660 - 1560) + chr(0b11011 + 0o112) + '\143' + chr(8829 - 8718) + chr(0b100 + 0o140) + chr(9180 - 9079))('\x75' + chr(0b1101001 + 0o13) + chr(102) + chr(45) + '\070'), 0.5, 2.0)
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cUA\x1d\x1e2\x03\x81J'), chr(0b1010110 + 0o16) + '\145' + '\143' + chr(0b1101 + 0o142) + '\144' + '\x65')('\x75' + chr(116) + '\146' + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90@A+\x157\x16\x85L\xecH\x94yU8s2\xca2x'), chr(0b1100100) + '\x65' + chr(99) + chr(9611 - 9500) + chr(100) + '\145')(chr(0b1110101) + chr(4461 - 4345) + chr(102) + '\055' + chr(0b100111 + 0o21)), 0.85, 0.95)
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cUA\x1d\x1e2\x03\x81J'), chr(0b1100100) + chr(0b1001010 + 0o33) + chr(0b100111 + 0o74) + '\x6f' + chr(0b1100100) + '\x65')(chr(9972 - 9855) + '\164' + chr(0b1100110) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90@A+\x157\x16\x85L\xecH\x94yU8s2\xca2{'), chr(0b110011 + 0o61) + chr(0b1 + 0o144) + '\143' + chr(111) + '\144' + '\145')(chr(0b1110101) + '\x74' + chr(8914 - 8812) + chr(1741 - 1696) + chr(0b110 + 0o62)), 0.97, 0.99)
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8cUA\x1d\x1e2\x03\x81J'), chr(0b1001011 + 0o31) + chr(7193 - 7092) + chr(99) + '\157' + chr(100) + chr(0b10001 + 0o124))(chr(117) + chr(0b1110100) + '\x66' + chr(45) + chr(1786 - 1730)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x88U\\%\x10*3\x84[\xd0H\x89'), chr(0b111101 + 0o47) + chr(2315 - 2214) + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b111111 + 0o66) + chr(0b11101 + 0o127) + chr(102) + chr(45) + '\x38'), 0.0, 2.0)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_clean
|
def transformer_clean():
"""No dropout, label smoothing, max_length."""
hparams = transformer_base_v2()
hparams.label_smoothing = 0.0
hparams.layer_prepostprocess_dropout = 0.0
hparams.attention_dropout = 0.0
hparams.relu_dropout = 0.0
hparams.max_length = 0
return hparams
|
python
|
def transformer_clean():
"""No dropout, label smoothing, max_length."""
hparams = transformer_base_v2()
hparams.label_smoothing = 0.0
hparams.layer_prepostprocess_dropout = 0.0
hparams.attention_dropout = 0.0
hparams.relu_dropout = 0.0
hparams.max_length = 0
return hparams
|
[
"def",
"transformer_clean",
"(",
")",
":",
"hparams",
"=",
"transformer_base_v2",
"(",
")",
"hparams",
".",
"label_smoothing",
"=",
"0.0",
"hparams",
".",
"layer_prepostprocess_dropout",
"=",
"0.0",
"hparams",
".",
"attention_dropout",
"=",
"0.0",
"hparams",
".",
"relu_dropout",
"=",
"0.0",
"hparams",
".",
"max_length",
"=",
"0",
"return",
"hparams"
] |
No dropout, label smoothing, max_length.
|
[
"No",
"dropout",
"label",
"smoothing",
"max_length",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2441-L2449
|
train
|
No dropout label smoothing max_length.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b110000), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\x36' + chr(0b1011 + 0o51), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b1 + 0o60) + '\x33' + chr(0b11001 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(80 - 32) + '\157' + chr(49) + '\060' + '\066', 23070 - 23062), ehT0Px3KOsy9('\060' + '\157' + chr(1644 - 1594) + '\x32' + chr(2061 - 2008), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110010), 50102 - 50094), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b110011), 58544 - 58536), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\067' + chr(0b110000 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b110000) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(2815 - 2704) + chr(0b110111) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\x36' + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x32' + chr(0b11001 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(505 - 451) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x36' + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11010 + 0o31) + chr(0b110001) + chr(1674 - 1619), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + '\061' + chr(224 - 176) + '\x32', 4010 - 4002), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110100) + chr(0b110110), 36809 - 36801), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10110 + 0o33) + '\067' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(1758 - 1647) + '\063' + '\062' + '\061', 15972 - 15964), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + chr(0b1010 + 0o47) + chr(0b110111) + chr(0b110 + 0o55), 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(0b10001 + 0o40) + chr(50) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1991 - 1942) + chr(1229 - 1179) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1685 - 1635) + '\063' + chr(314 - 263), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + chr(0b110100) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + chr(0b110100) + chr(0b100000 + 0o20), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(53) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(554 - 506) + chr(0b111101 + 0o62) + '\064' + chr(456 - 407), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\x34' + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b1011 + 0o51) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b110010), 8), ehT0Px3KOsy9(chr(369 - 321) + '\157' + chr(0b101011 + 0o6) + chr(0b110000) + chr(0b100111 + 0o17), 8), ehT0Px3KOsy9('\x30' + chr(0b100 + 0o153) + chr(429 - 380) + chr(53) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2460 - 2410) + '\066' + '\061', 2945 - 2937), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1697 - 1646) + '\061' + chr(1828 - 1773), 8), ehT0Px3KOsy9('\x30' + chr(9201 - 9090) + '\063' + chr(54) + chr(1950 - 1902), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1000 + 0o54) + chr(335 - 282), 1130 - 1122), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(11772 - 11661) + chr(0b101110 + 0o3) + chr(1339 - 1284) + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + '\x32' + '\x36' + chr(1259 - 1207), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(50) + chr(0b110010) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(2206 - 2155) + chr(2085 - 2037) + '\x30', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(5954 - 5843) + '\x35' + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'.'), chr(0b1100100) + '\145' + chr(99) + chr(2008 - 1897) + chr(2007 - 1907) + chr(0b111000 + 0o55))(chr(0b11111 + 0o126) + chr(5587 - 5471) + chr(102) + '\055' + chr(0b10110 + 0o42)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def IUb5at81myXI():
n4ljua2gi1Pr = mul6_zABiAD2()
n4ljua2gi1Pr.FSjUgdaczzRk = 0.0
n4ljua2gi1Pr.RW_xSzp18UeS = 0.0
n4ljua2gi1Pr.RdMRr3qkYioQ = 0.0
n4ljua2gi1Pr.PJc0PNdBnSag = 0.0
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(841 - 793), 8)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_lm_tpu_0
|
def transformer_lm_tpu_0():
"""HParams for training languagemodel_lm1b8k on tpu. 92M Params."""
hparams = transformer_clean_big()
update_hparams_for_tpu(hparams)
hparams.num_heads = 4 # Heads are expensive on TPUs.
hparams.batch_size = 4096
hparams.shared_embedding_and_softmax_weights = False
hparams.layer_prepostprocess_dropout = 0.1
return hparams
|
python
|
def transformer_lm_tpu_0():
"""HParams for training languagemodel_lm1b8k on tpu. 92M Params."""
hparams = transformer_clean_big()
update_hparams_for_tpu(hparams)
hparams.num_heads = 4 # Heads are expensive on TPUs.
hparams.batch_size = 4096
hparams.shared_embedding_and_softmax_weights = False
hparams.layer_prepostprocess_dropout = 0.1
return hparams
|
[
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"transformer_lm_tpu_0",
"(",
")",
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"hparams",
"=",
"transformer_clean_big",
"(",
")",
"update_hparams_for_tpu",
"(",
"hparams",
")",
"hparams",
".",
"num_heads",
"=",
"4",
"# Heads are expensive on TPUs.",
"hparams",
".",
"batch_size",
"=",
"4096",
"hparams",
".",
"shared_embedding_and_softmax_weights",
"=",
"False",
"hparams",
".",
"layer_prepostprocess_dropout",
"=",
"0.1",
"return",
"hparams"
] |
HParams for training languagemodel_lm1b8k on tpu. 92M Params.
|
[
"HParams",
"for",
"training",
"languagemodel_lm1b8k",
"on",
"tpu",
".",
"92M",
"Params",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2477-L2485
|
train
|
HParams for training languagemodel_lm1b8k on tpu. 92M 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) + '\x6f' + chr(50) + '\x34' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8350 - 8239) + chr(50) + chr(50) + chr(0b1011 + 0o46), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11110 + 0o24) + chr(1300 - 1251) + chr(1159 - 1110), 0b1000), ehT0Px3KOsy9(chr(779 - 731) + chr(0b1100001 + 0o16) + chr(1396 - 1345) + chr(0b110110) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1481 - 1426) + chr(1464 - 1416), 0b1000), ehT0Px3KOsy9(chr(2240 - 2192) + '\157' + chr(0b110001 + 0o1) + chr(455 - 406) + chr(1238 - 1189), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(1240 - 1186) + chr(0b1101 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(129 - 80) + chr(0b101110 + 0o11) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1717 - 1669) + chr(0b1010001 + 0o36) + '\062' + chr(565 - 516) + '\x35', 10307 - 10299), ehT0Px3KOsy9('\x30' + chr(111) + '\065' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7865 - 7754) + '\x33' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2989 - 2878) + chr(1025 - 974) + chr(52) + '\x34', 12396 - 12388), ehT0Px3KOsy9(chr(1682 - 1634) + '\x6f' + chr(234 - 183) + chr(0b1 + 0o66) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\x33' + chr(0b110000), 27710 - 27702), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(55) + chr(2271 - 2217), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10001 + 0o136) + chr(405 - 355) + '\061' + chr(55), 0b1000), ehT0Px3KOsy9(chr(745 - 697) + chr(0b101110 + 0o101) + '\x31' + '\061' + '\x37', 0o10), ehT0Px3KOsy9(chr(665 - 617) + chr(0b1101111) + chr(0b110010) + '\066' + '\x33', 0o10), ehT0Px3KOsy9(chr(1247 - 1199) + '\x6f' + chr(51) + chr(0b110000 + 0o4), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\064' + '\062', 47886 - 47878), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b10110 + 0o34) + '\x33' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\061' + chr(52), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1482 - 1432) + '\061' + '\x37', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1615 - 1564) + '\x36' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(1132 - 1021) + chr(0b110001) + chr(49) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + chr(1670 - 1620) + chr(1375 - 1327) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8782 - 8671) + '\x33' + '\063' + chr(0b110011 + 0o2), 0b1000), ehT0Px3KOsy9(chr(943 - 895) + chr(111) + '\x31' + chr(55) + chr(806 - 752), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11011 + 0o27) + chr(1991 - 1940) + chr(0b110010), 53705 - 53697), ehT0Px3KOsy9(chr(0b110000) + chr(12043 - 11932) + chr(671 - 620) + chr(1858 - 1805) + '\x36', 11621 - 11613), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b110100) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1000011 + 0o54) + chr(50) + chr(0b110111) + '\062', 43319 - 43311), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b110010) + chr(0b110100 + 0o1) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111 + 0o0) + chr(332 - 281) + '\066' + '\060', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(0b110011) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1079 - 1031) + chr(1219 - 1108) + '\x33' + chr(0b110011) + '\065', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(52) + chr(0b1001 + 0o55), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + '\061' + chr(0b1010 + 0o50) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x35', 8), ehT0Px3KOsy9(chr(1123 - 1075) + chr(0b1101111) + chr(340 - 290) + chr(0b110001) + chr(0b11000 + 0o36), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(213 - 165) + '\157' + chr(0b110101) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f'), '\x64' + '\x65' + chr(99) + chr(3522 - 3411) + chr(100) + chr(101))('\165' + chr(0b1110100) + chr(8105 - 8003) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Xp5KvfhJpQS3():
n4ljua2gi1Pr = qp3ih7xE5s4y()
gWr33mh0VbqT(n4ljua2gi1Pr)
n4ljua2gi1Pr.vRVqPOZ1hUG7 = ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + chr(1954 - 1902), ord("\x08"))
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(7643 - 7532) + chr(0b110001) + '\x30' + '\x30' + chr(0b110000) + chr(0b100100 + 0o14), ord("\x08"))
n4ljua2gi1Pr.qVamxim0L2I1 = ehT0Px3KOsy9('\x30' + chr(0b10011 + 0o134) + '\x30', ord("\x08"))
n4ljua2gi1Pr.RW_xSzp18UeS = 0.1
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_librispeech_v1
|
def transformer_librispeech_v1():
"""HParams for training ASR model on LibriSpeech V1."""
hparams = transformer_base()
hparams.num_heads = 4
hparams.filter_size = 1024
hparams.hidden_size = 256
hparams.num_encoder_layers = 5
hparams.num_decoder_layers = 3
hparams.learning_rate = 0.15
hparams.batch_size = 6000000
librispeech.set_librispeech_length_hparams(hparams)
return hparams
|
python
|
def transformer_librispeech_v1():
"""HParams for training ASR model on LibriSpeech V1."""
hparams = transformer_base()
hparams.num_heads = 4
hparams.filter_size = 1024
hparams.hidden_size = 256
hparams.num_encoder_layers = 5
hparams.num_decoder_layers = 3
hparams.learning_rate = 0.15
hparams.batch_size = 6000000
librispeech.set_librispeech_length_hparams(hparams)
return hparams
|
[
"def",
"transformer_librispeech_v1",
"(",
")",
":",
"hparams",
"=",
"transformer_base",
"(",
")",
"hparams",
".",
"num_heads",
"=",
"4",
"hparams",
".",
"filter_size",
"=",
"1024",
"hparams",
".",
"hidden_size",
"=",
"256",
"hparams",
".",
"num_encoder_layers",
"=",
"5",
"hparams",
".",
"num_decoder_layers",
"=",
"3",
"hparams",
".",
"learning_rate",
"=",
"0.15",
"hparams",
".",
"batch_size",
"=",
"6000000",
"librispeech",
".",
"set_librispeech_length_hparams",
"(",
"hparams",
")",
"return",
"hparams"
] |
HParams for training ASR model on LibriSpeech V1.
|
[
"HParams",
"for",
"training",
"ASR",
"model",
"on",
"LibriSpeech",
"V1",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2498-L2511
|
train
|
HParams for training ASR model on LibriSpeech V1.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b10001 + 0o46) + chr(2749 - 2694), 34575 - 34567), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(55) + chr(92 - 42), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5407 - 5296) + chr(0b110001) + chr(1730 - 1682) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2053 - 2004) + '\x33' + chr(0b10000 + 0o42), 26021 - 26013), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101 + 0o55) + '\067' + chr(0b101110 + 0o2), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100010 + 0o115) + chr(49) + chr(0b100 + 0o61) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3973 - 3862) + chr(447 - 397) + chr(0b110000) + chr(0b10000 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(755 - 707) + chr(0b100111 + 0o110) + chr(51) + '\x36' + chr(2787 - 2733), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1010000 + 0o37) + '\063' + chr(0b100101 + 0o15), 0o10), ehT0Px3KOsy9(chr(1870 - 1822) + chr(111) + '\061' + '\062' + '\061', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110100) + chr(0b101010 + 0o6), 17418 - 17410), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(2128 - 2075) + '\065', 8), ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + chr(1801 - 1751) + chr(1515 - 1463) + chr(0b1111 + 0o46), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b100110 + 0o13) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\065' + '\x36', 8328 - 8320), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b110010 + 0o75) + '\x31' + chr(658 - 607) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b110001) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111000 + 0o67) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(2126 - 2015) + chr(0b110011) + chr(52) + '\063', 23676 - 23668), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\067' + chr(0b100011 + 0o16), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(643 - 592) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(2245 - 2197) + chr(0b1101111) + chr(0b110001) + chr(0b10001 + 0o37) + chr(0b101000 + 0o17), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b100011 + 0o23) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b110101) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10582 - 10471) + '\x31' + chr(0b100001 + 0o22) + chr(53), 64074 - 64066), ehT0Px3KOsy9('\x30' + chr(2646 - 2535) + chr(0b11001 + 0o31) + chr(48) + '\x36', 55796 - 55788), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\x37' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(1269 - 1217) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11000 + 0o31) + chr(55) + chr(791 - 737), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\066' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1807 - 1758) + chr(672 - 621) + chr(820 - 769), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(486 - 435) + chr(52) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(0b110011) + chr(53) + chr(0b110111), 11041 - 11033), ehT0Px3KOsy9(chr(48) + chr(5743 - 5632) + '\x32' + chr(1436 - 1381) + chr(0b110101), 17364 - 17356), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + '\063' + '\x30' + '\x33', 4754 - 4746), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(669 - 616) + chr(357 - 306), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001011 + 0o44) + chr(534 - 485) + chr(0b1011 + 0o51) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1061 - 1011) + chr(48), 16972 - 16964)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(277 - 224) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x91'), chr(3207 - 3107) + chr(101) + '\x63' + chr(10877 - 10766) + '\144' + '\145')(chr(0b1110101) + '\x74' + chr(102) + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZkgIX922Fbbq():
n4ljua2gi1Pr = ciSuZsJ0n_gI()
n4ljua2gi1Pr.vRVqPOZ1hUG7 = ehT0Px3KOsy9('\060' + '\157' + chr(2298 - 2246), 8)
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(550 - 502) + chr(0b110000) + chr(0b110000), ord("\x08"))
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(954 - 906) + '\x6f' + chr(2321 - 2269) + chr(1555 - 1507) + chr(588 - 540), 0b1000)
n4ljua2gi1Pr.RS6YkARoTleN = ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + '\x35', ord("\x08"))
n4ljua2gi1Pr.pRi6YFAYEnH4 = ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1011011 + 0o24) + chr(0b110011), 0o10)
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.15
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100011 + 0o17) + chr(54) + chr(55) + chr(1625 - 1577) + '\x36' + chr(0b110110) + chr(1250 - 1202) + '\x30', 0b1000)
xafqLlk3kkUe(eFzCea4cmEMP, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\x9f6\x05\xd4\x04\xe0\x84s"P|\x08\xc6\xe2\xb15\xacj\x84\x8d0\x18\xde\xd9<\xf4\x9a\xcbh'), '\x64' + chr(101) + chr(99) + chr(10831 - 10720) + chr(100) + chr(0b111001 + 0o54))(chr(10918 - 10801) + chr(0b1110100) + chr(8598 - 8496) + chr(1045 - 1000) + chr(0b111000)))(n4ljua2gi1Pr)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_librispeech_v2
|
def transformer_librispeech_v2():
"""HParams for training ASR model on LibriSpeech V2."""
hparams = transformer_base()
hparams.max_length = 1240000
hparams.max_input_seq_length = 1550
hparams.max_target_seq_length = 350
hparams.batch_size = 16
hparams.num_decoder_layers = 4
hparams.num_encoder_layers = 6
hparams.hidden_size = 384
hparams.learning_rate = 0.15
hparams.daisy_chain_variables = False
hparams.filter_size = 1536
hparams.num_heads = 2
hparams.ffn_layer = "conv_relu_conv"
hparams.conv_first_kernel = 9
hparams.weight_decay = 0
hparams.layer_prepostprocess_dropout = 0.2
hparams.relu_dropout = 0.2
return hparams
|
python
|
def transformer_librispeech_v2():
"""HParams for training ASR model on LibriSpeech V2."""
hparams = transformer_base()
hparams.max_length = 1240000
hparams.max_input_seq_length = 1550
hparams.max_target_seq_length = 350
hparams.batch_size = 16
hparams.num_decoder_layers = 4
hparams.num_encoder_layers = 6
hparams.hidden_size = 384
hparams.learning_rate = 0.15
hparams.daisy_chain_variables = False
hparams.filter_size = 1536
hparams.num_heads = 2
hparams.ffn_layer = "conv_relu_conv"
hparams.conv_first_kernel = 9
hparams.weight_decay = 0
hparams.layer_prepostprocess_dropout = 0.2
hparams.relu_dropout = 0.2
return hparams
|
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] |
HParams for training ASR model on LibriSpeech V2.
|
[
"HParams",
"for",
"training",
"ASR",
"model",
"on",
"LibriSpeech",
"V2",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2515-L2536
|
train
|
HParams for training ASR model on LibriSpeech V2.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(51) + '\x36', 9860 - 9852), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\061' + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\x31' + chr(55), 5775 - 5767), ehT0Px3KOsy9('\x30' + chr(7706 - 7595) + '\x32' + chr(0b100010 + 0o20) + chr(51), 0o10), ehT0Px3KOsy9(chr(1934 - 1886) + '\x6f' + '\x32' + '\x35' + chr(0b110100), 63463 - 63455), ehT0Px3KOsy9(chr(157 - 109) + chr(0b1001000 + 0o47) + chr(49) + chr(0b110101) + chr(0b10011 + 0o40), 0b1000), ehT0Px3KOsy9('\060' + chr(275 - 164) + chr(0b10001 + 0o40) + chr(54) + chr(50), 4728 - 4720), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b110100) + '\064', 19776 - 19768), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(2073 - 2020) + chr(0b11110 + 0o25), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b11100 + 0o31) + chr(51), 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(0b10011 + 0o37) + chr(0b110010) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b1100 + 0o45) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b110100 + 0o73) + chr(2266 - 2215) + chr(0b110101) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(1880 - 1832) + chr(0b10 + 0o56), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(48) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + '\x33' + '\x30' + chr(0b11010 + 0o26), 15047 - 15039), ehT0Px3KOsy9('\x30' + chr(7491 - 7380) + chr(271 - 219) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(2223 - 2175) + chr(0b1101111) + chr(0b110010) + '\x30' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(1668 - 1613) + '\060', 23790 - 23782), ehT0Px3KOsy9(chr(770 - 722) + chr(111) + chr(2079 - 2028) + chr(54) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100001 + 0o116) + chr(2192 - 2142) + chr(0b110100) + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b1 + 0o66), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + '\062' + chr(0b110111) + chr(51), 0o10), ehT0Px3KOsy9(chr(2231 - 2183) + chr(9010 - 8899) + '\061' + chr(49) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(11540 - 11429) + chr(0b110010) + '\060' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(0b110010) + chr(0b110001 + 0o5) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10110 + 0o35) + '\061' + chr(525 - 476), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x36' + '\x32', 36529 - 36521), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(79 - 29) + '\063' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111101 + 0o62) + chr(1951 - 1902) + chr(0b110010) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\065' + chr(54), 0o10), ehT0Px3KOsy9(chr(202 - 154) + '\157' + chr(50) + chr(0b11100 + 0o30) + chr(355 - 305), 8358 - 8350), ehT0Px3KOsy9('\060' + chr(0b1101 + 0o142) + '\063' + chr(50) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b110000) + chr(0b100110 + 0o12), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(962 - 911) + chr(0b110100) + chr(2462 - 2407), 40968 - 40960), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(0b11 + 0o62) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\062' + chr(50), 15415 - 15407), ehT0Px3KOsy9(chr(996 - 948) + chr(111) + '\061' + '\x37' + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b1101 + 0o47) + '\x30', 55165 - 55157)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1100111 + 0o10) + chr(0b100101 + 0o20) + chr(0b101111 + 0o1), 44752 - 44744)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'>'), chr(0b1100100) + chr(3271 - 3170) + '\143' + chr(111) + chr(0b1100100) + chr(4774 - 4673))(chr(0b1110101) + chr(7431 - 7315) + chr(3963 - 3861) + chr(0b100100 + 0o11) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gJWQeeElpbVu():
n4ljua2gi1Pr = ciSuZsJ0n_gI()
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9('\x30' + '\157' + chr(0b110100) + '\065' + chr(1822 - 1768) + chr(0b101000 + 0o15) + chr(0b110000 + 0o7) + '\x30' + '\060', ord("\x08"))
n4ljua2gi1Pr.xa50HGLsAIaS = ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\060' + '\x31' + '\x36', ord("\x08"))
n4ljua2gi1Pr.uJutLB5DfPmB = ehT0Px3KOsy9('\x30' + chr(111) + chr(53) + '\063' + '\066', 32859 - 32851)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(909 - 861) + chr(0b11110 + 0o121) + chr(50) + chr(48), 8)
n4ljua2gi1Pr.pRi6YFAYEnH4 = ehT0Px3KOsy9(chr(2248 - 2200) + chr(0b1100011 + 0o14) + chr(0b110100), ord("\x08"))
n4ljua2gi1Pr.RS6YkARoTleN = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1001 + 0o55), 0b1000)
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(0b110000) + chr(0b110001 + 0o76) + chr(54) + '\060' + chr(0b110000), 57703 - 57695)
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.15
n4ljua2gi1Pr.m812svkc5bkk = ehT0Px3KOsy9('\x30' + '\157' + chr(1108 - 1060), 0o10)
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\x30' + chr(48) + chr(1141 - 1093), 30880 - 30872)
n4ljua2gi1Pr.vRVqPOZ1hUG7 = ehT0Px3KOsy9(chr(48) + chr(111) + chr(380 - 330), 4139 - 4131)
n4ljua2gi1Pr.SH5PH2T7PEUB = xafqLlk3kkUe(SXOLrMavuUCe(b's\xb1 9\xcc\xde\x0e\x1e\xd1\xf4\xc8\xfe\xe5\x9b'), chr(100) + chr(101) + chr(0b11010 + 0o111) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1101100 + 0o11) + chr(0b1000110 + 0o56) + chr(1901 - 1799) + chr(658 - 613) + chr(0b110100 + 0o4))
n4ljua2gi1Pr.B82Cx9RqS327 = ehT0Px3KOsy9(chr(48) + chr(10203 - 10092) + '\x31' + chr(0b1000 + 0o51), 0o10)
n4ljua2gi1Pr.eB4rJl6fUxw9 = ehT0Px3KOsy9(chr(1781 - 1733) + chr(111) + chr(0b110000), 8)
n4ljua2gi1Pr.RW_xSzp18UeS = 0.2
n4ljua2gi1Pr.PJc0PNdBnSag = 0.2
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_librispeech_tpu_v1
|
def transformer_librispeech_tpu_v1():
"""HParams for training ASR model on Librispeech on TPU v1."""
hparams = transformer_librispeech_v1()
update_hparams_for_tpu(hparams)
hparams.batch_size = 16
librispeech.set_librispeech_length_hparams(hparams)
return hparams
|
python
|
def transformer_librispeech_tpu_v1():
"""HParams for training ASR model on Librispeech on TPU v1."""
hparams = transformer_librispeech_v1()
update_hparams_for_tpu(hparams)
hparams.batch_size = 16
librispeech.set_librispeech_length_hparams(hparams)
return hparams
|
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] |
HParams for training ASR model on Librispeech on TPU v1.
|
[
"HParams",
"for",
"training",
"ASR",
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"v1",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2540-L2547
|
train
|
HParams for training ASR model on Librispeech on TPU v1.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(0b110101) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + chr(0b100011 + 0o21), 24647 - 24639), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11010 + 0o31) + chr(54) + chr(0b101001 + 0o11), 0o10), ehT0Px3KOsy9(chr(2227 - 2179) + chr(0b1101111) + chr(0b110001) + '\x36' + '\062', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(3024 - 2913) + chr(1643 - 1591) + chr(853 - 804), 44105 - 44097), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + chr(0b1011 + 0o46) + '\067' + '\066', 26731 - 26723), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1010101 + 0o32) + chr(0b110010) + chr(55) + chr(50), 63790 - 63782), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + chr(1427 - 1376) + chr(0b110010) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + '\x32' + chr(93 - 40) + chr(51), 0o10), ehT0Px3KOsy9(chr(392 - 344) + chr(0b101 + 0o152) + chr(584 - 535) + '\x30' + '\x36', 1273 - 1265), ehT0Px3KOsy9(chr(774 - 726) + chr(0b1101111) + '\x31' + '\x35' + chr(1486 - 1438), 0o10), ehT0Px3KOsy9(chr(506 - 458) + chr(111) + chr(49) + chr(53) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065' + chr(51), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110101) + chr(2063 - 2015), 58972 - 58964), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b10110 + 0o131) + chr(0b101 + 0o54) + chr(0b100110 + 0o20) + '\x32', 8), ehT0Px3KOsy9(chr(1000 - 952) + chr(0b111101 + 0o62) + '\061' + chr(55) + '\060', 15949 - 15941), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\063' + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b110101) + '\061', 0o10), ehT0Px3KOsy9(chr(359 - 311) + chr(11315 - 11204) + chr(0b110101) + chr(0b11000 + 0o35), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + chr(0b110011) + chr(383 - 334) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(390 - 342) + '\x6f' + chr(861 - 812) + '\x30' + '\x32', 51124 - 51116), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110010) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + chr(50) + '\065' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(53) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(738 - 689) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1310 - 1260) + chr(0b100000 + 0o26) + chr(0b110100), 2806 - 2798), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b111011 + 0o64) + chr(873 - 823) + chr(48) + '\066', 0o10), ehT0Px3KOsy9(chr(1442 - 1394) + '\157' + '\x31' + chr(540 - 486) + chr(0b1000 + 0o54), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(9188 - 9077) + chr(241 - 191) + chr(55), 30690 - 30682), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b110001) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + chr(0b110011) + chr(1421 - 1366) + chr(0b101000 + 0o10), 0b1000), ehT0Px3KOsy9(chr(2067 - 2019) + chr(0b1101111) + chr(51) + '\061' + chr(1652 - 1604), 8), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b110101) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b100100 + 0o20) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(491 - 440) + '\060' + chr(49), 35204 - 35196), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10110 + 0o33) + chr(0b100 + 0o60), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + chr(53) + '\063', 8), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b110101) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + chr(0b110010) + chr(0b100100 + 0o22) + chr(53), 11270 - 11262)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(306 - 253) + chr(1160 - 1112), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x05'), chr(100) + chr(6145 - 6044) + chr(3326 - 3227) + chr(0b1101111) + chr(6518 - 6418) + '\145')(chr(117) + chr(0b1110100) + chr(0b110 + 0o140) + '\055' + chr(2203 - 2147)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ynEJMC196_F4():
n4ljua2gi1Pr = ZkgIX922Fbbq()
gWr33mh0VbqT(n4ljua2gi1Pr)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\060' + '\x6f' + chr(471 - 421) + chr(48), ord("\x08"))
xafqLlk3kkUe(eFzCea4cmEMP, xafqLlk3kkUe(SXOLrMavuUCe(b'XI\x86-\x7fH\x1c\xc8\xbc\xd86\r\x0bH@-\x148\x07J\xbc*\x0f\xc1\xda\xea\xc6\xe7\x19d'), '\x64' + chr(0b1100101) + chr(99) + chr(0b110111 + 0o70) + '\144' + '\145')(chr(12771 - 12654) + chr(116) + chr(102) + chr(0b10110 + 0o27) + chr(56)))(n4ljua2gi1Pr)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_librispeech_tpu_v2
|
def transformer_librispeech_tpu_v2():
"""HParams for training ASR model on Librispeech on TPU v2."""
hparams = transformer_librispeech_v2()
update_hparams_for_tpu(hparams)
hparams.batch_size = 16
librispeech.set_librispeech_length_hparams(hparams)
return hparams
|
python
|
def transformer_librispeech_tpu_v2():
"""HParams for training ASR model on Librispeech on TPU v2."""
hparams = transformer_librispeech_v2()
update_hparams_for_tpu(hparams)
hparams.batch_size = 16
librispeech.set_librispeech_length_hparams(hparams)
return hparams
|
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"=",
"transformer_librispeech_v2",
"(",
")",
"update_hparams_for_tpu",
"(",
"hparams",
")",
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"batch_size",
"=",
"16",
"librispeech",
".",
"set_librispeech_length_hparams",
"(",
"hparams",
")",
"return",
"hparams"
] |
HParams for training ASR model on Librispeech on TPU v2.
|
[
"HParams",
"for",
"training",
"ASR",
"model",
"on",
"Librispeech",
"on",
"TPU",
"v2",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2551-L2558
|
train
|
HParams for training ASR model on Librispeech on TPU v2.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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 + 0o0) + chr(8111 - 8000) + chr(0b101101 + 0o4) + chr(0b110010) + chr(0b110001 + 0o6), 64866 - 64858), ehT0Px3KOsy9(chr(2084 - 2036) + chr(0b11101 + 0o122) + chr(0b10100 + 0o36) + chr(2142 - 2092), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + '\066' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b10001 + 0o136) + chr(0b110101) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(0b110011) + chr(1620 - 1569) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1100001 + 0o16) + chr(0b110011) + chr(0b110001) + chr(0b11001 + 0o33), 0o10), ehT0Px3KOsy9('\x30' + chr(1677 - 1566) + chr(0b10010 + 0o40) + '\x34' + chr(0b100101 + 0o15), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(51) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + '\063' + '\067' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100 + 0o153) + chr(2092 - 2040) + chr(2065 - 2012), 0o10), ehT0Px3KOsy9('\x30' + chr(0b100011 + 0o114) + chr(628 - 577) + chr(2118 - 2064) + chr(1435 - 1382), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + chr(0b11001 + 0o30) + chr(2218 - 2170) + chr(0b1011 + 0o54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\066', 4746 - 4738), ehT0Px3KOsy9(chr(644 - 596) + chr(111) + '\063' + chr(728 - 676) + chr(0b11101 + 0o31), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(49) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(50) + '\067' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(1613 - 1564) + chr(0b110010 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(2629 - 2574) + '\x30', 0o10), ehT0Px3KOsy9(chr(2072 - 2024) + chr(0b1101111) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + '\x31' + chr(0b10101 + 0o33) + chr(574 - 522), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(284 - 231) + chr(0b110100), 35366 - 35358), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(0b110010) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11101 + 0o122) + chr(0b110011) + chr(0b110111) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1066 - 1018) + '\157' + chr(1286 - 1237) + '\x30' + chr(0b111 + 0o51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8153 - 8042) + chr(51) + chr(0b101 + 0o61), 0o10), ehT0Px3KOsy9('\060' + chr(8240 - 8129) + chr(55), 8), ehT0Px3KOsy9(chr(774 - 726) + chr(0b111000 + 0o67) + '\063' + chr(0b0 + 0o67) + chr(0b110101), 21803 - 21795), ehT0Px3KOsy9(chr(0b110000) + chr(6080 - 5969) + '\x33' + chr(0b110001) + chr(0b11101 + 0o23), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3350 - 3239) + chr(1993 - 1943) + '\063' + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(10504 - 10393) + chr(0b100101 + 0o15) + chr(0b1101 + 0o45) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(53) + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\x35' + chr(826 - 777), 57011 - 57003), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(8719 - 8608) + '\x31' + chr(0b101101 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(409 - 361) + chr(0b1101111) + chr(49) + chr(789 - 740) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + '\063' + chr(0b101011 + 0o6) + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10000 + 0o41) + chr(49) + chr(837 - 787), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b101000 + 0o10) + chr(177 - 127), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + '\x31' + '\063' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + '\x32' + '\060' + '\064', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(2346 - 2293) + '\x30', 7502 - 7494)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'y'), chr(100) + '\x65' + '\143' + chr(0b1101111) + chr(100) + chr(0b101111 + 0o66))('\165' + chr(116) + chr(0b1100110) + chr(0b11011 + 0o22) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xu012wjF4mdb():
n4ljua2gi1Pr = gJWQeeElpbVu()
gWr33mh0VbqT(n4ljua2gi1Pr)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100001 + 0o21) + '\x30', ord("\x08"))
xafqLlk3kkUe(eFzCea4cmEMP, xafqLlk3kkUe(SXOLrMavuUCe(b'$wFq\xb0\xa5\xc0\xad\x92V\x85"k\x85\xe5\xe7\xe3\x9di#X~\xa5(nf\x8f\xa9\xf3\xe0'), '\144' + chr(101) + chr(0b1100011) + chr(7442 - 7331) + '\144' + chr(0b100010 + 0o103))(chr(0b1110101) + chr(7590 - 7474) + chr(0b1100110) + '\x2d' + chr(56)))(n4ljua2gi1Pr)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_tpu_1b
|
def transformer_tpu_1b():
"""Hparams for machine translation with ~1.1B parameters."""
hparams = transformer_tpu()
hparams.hidden_size = 2048
hparams.filter_size = 8192
hparams.num_hidden_layers = 8
# smaller batch size to avoid OOM
hparams.batch_size = 1024
hparams.activation_dtype = "bfloat16"
hparams.weight_dtype = "bfloat16"
# maximize number of parameters relative to computation by not sharing.
hparams.shared_embedding_and_softmax_weights = False
return hparams
|
python
|
def transformer_tpu_1b():
"""Hparams for machine translation with ~1.1B parameters."""
hparams = transformer_tpu()
hparams.hidden_size = 2048
hparams.filter_size = 8192
hparams.num_hidden_layers = 8
# smaller batch size to avoid OOM
hparams.batch_size = 1024
hparams.activation_dtype = "bfloat16"
hparams.weight_dtype = "bfloat16"
# maximize number of parameters relative to computation by not sharing.
hparams.shared_embedding_and_softmax_weights = False
return hparams
|
[
"def",
"transformer_tpu_1b",
"(",
")",
":",
"hparams",
"=",
"transformer_tpu",
"(",
")",
"hparams",
".",
"hidden_size",
"=",
"2048",
"hparams",
".",
"filter_size",
"=",
"8192",
"hparams",
".",
"num_hidden_layers",
"=",
"8",
"# smaller batch size to avoid OOM",
"hparams",
".",
"batch_size",
"=",
"1024",
"hparams",
".",
"activation_dtype",
"=",
"\"bfloat16\"",
"hparams",
".",
"weight_dtype",
"=",
"\"bfloat16\"",
"# maximize number of parameters relative to computation by not sharing.",
"hparams",
".",
"shared_embedding_and_softmax_weights",
"=",
"False",
"return",
"hparams"
] |
Hparams for machine translation with ~1.1B parameters.
|
[
"Hparams",
"for",
"machine",
"translation",
"with",
"~1",
".",
"1B",
"parameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2599-L2611
|
train
|
Hparams for machine translation with ~1. 1B parameters.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(2432 - 2381) + chr(0b110010) + chr(53), 42029 - 42021), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100010 + 0o15) + chr(1958 - 1908) + '\x34' + chr(0b10000 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(1429 - 1381) + '\x6f' + chr(480 - 429) + chr(52) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7838 - 7727) + chr(0b110000 + 0o2) + '\063' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1001 + 0o50) + '\060' + chr(0b110101), 7904 - 7896), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\063' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + chr(0b100000 + 0o22) + chr(535 - 480) + chr(0b110101), 43074 - 43066), ehT0Px3KOsy9(chr(48) + chr(11842 - 11731) + chr(551 - 501) + chr(53), 29944 - 29936), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(50) + chr(48), 40281 - 40273), ehT0Px3KOsy9('\x30' + chr(4903 - 4792) + '\x31' + chr(0b110001) + chr(546 - 495), 5591 - 5583), ehT0Px3KOsy9('\x30' + chr(0b1101010 + 0o5) + chr(0b10010 + 0o37) + chr(50) + chr(1718 - 1666), 0o10), ehT0Px3KOsy9(chr(781 - 733) + chr(7750 - 7639) + '\x31' + chr(1129 - 1075) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\063' + chr(0b10010 + 0o44), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110111) + chr(1757 - 1707), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + chr(50) + '\x34' + chr(0b10111 + 0o31), 25444 - 25436), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b1110 + 0o50) + chr(1585 - 1536), 11186 - 11178), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + '\x34' + chr(0b11111 + 0o26), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101 + 0o54) + chr(0b110000) + '\065', 8), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\x31' + chr(98 - 46), 0o10), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(0b110010) + chr(0b110111) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1268 - 1220) + chr(0b1101111) + chr(50) + chr(54) + chr(0b110000 + 0o2), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\x34', 19241 - 19233), ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + chr(1144 - 1091) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1237 - 1187) + chr(0b11 + 0o55) + chr(1368 - 1314), ord("\x08")), ehT0Px3KOsy9(chr(1898 - 1850) + chr(0b1010110 + 0o31) + '\x32' + '\x34' + chr(0b10101 + 0o34), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11001 + 0o126) + chr(0b11010 + 0o32) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + chr(1318 - 1268) + chr(357 - 307) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\x34' + chr(0b10101 + 0o40), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001100 + 0o43) + chr(49) + chr(0b110001 + 0o6) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + '\061' + '\x37' + chr(0b110100), 24265 - 24257), ehT0Px3KOsy9(chr(0b110000) + chr(5776 - 5665) + chr(49) + chr(0b110111) + chr(2261 - 2209), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(2076 - 2027) + chr(0b11110 + 0o22) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\060' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000000 + 0o57) + '\063' + chr(0b110101) + chr(919 - 866), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1029 - 975) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10111 + 0o32) + chr(0b11010 + 0o26) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + '\x36' + chr(2355 - 2300), 8), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(1193 - 1142) + chr(48) + chr(0b110111), 38709 - 38701)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + chr(71 - 23), 48425 - 48417)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'('), chr(472 - 372) + '\145' + '\143' + chr(0b1101111) + chr(0b111100 + 0o50) + '\145')(chr(0b101100 + 0o111) + '\x74' + '\x66' + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nas39SdYYKNB():
n4ljua2gi1Pr = zb481CrinEAV()
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(2174 - 2126) + chr(0b1101111) + '\064' + chr(48) + chr(0b110000) + chr(48), 59134 - 59126)
n4ljua2gi1Pr.deybX8NJ0oEI = ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(48) + chr(0b10011 + 0o35) + '\x30' + '\060', 0o10)
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1110 + 0o141) + chr(0b1100 + 0o45) + chr(0b1000 + 0o50), ord("\x08"))
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\060' + chr(12132 - 12021) + chr(0b110010) + chr(0b110000) + chr(0b110000) + '\060', 5225 - 5217)
n4ljua2gi1Pr.n6ZCgJ7AKd3U = xafqLlk3kkUe(SXOLrMavuUCe(b'd\xb3\xc8\x8f\xfb1\xe9\x8b'), chr(0b1010 + 0o132) + chr(0b1100101) + chr(99) + chr(0b1101111) + '\144' + '\145')('\x75' + chr(0b101001 + 0o113) + chr(0b1100110) + '\x2d' + chr(0b11011 + 0o35))
n4ljua2gi1Pr.VAEclRm_w3lD = xafqLlk3kkUe(SXOLrMavuUCe(b'd\xb3\xc8\x8f\xfb1\xe9\x8b'), chr(100) + chr(101) + '\x63' + '\157' + chr(100) + '\145')(chr(117) + chr(0b1110100) + '\x66' + chr(45) + chr(0b111000))
n4ljua2gi1Pr.qVamxim0L2I1 = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\060', 55392 - 55384)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_wikitext103_l4k_v0
|
def transformer_wikitext103_l4k_v0():
"""HParams for training languagemodel_wikitext103_l4k."""
hparams = transformer_big()
# Adafactor uses less memory than Adam.
# switch to Adafactor with its recommended learning rate scheme.
hparams.optimizer = "Adafactor"
hparams.learning_rate_schedule = "rsqrt_decay"
hparams.learning_rate_warmup_steps = 10000
hparams.num_heads = 4
hparams.max_length = 4096
hparams.batch_size = 4096
hparams.shared_embedding_and_softmax_weights = False
hparams.num_hidden_layers = 8
hparams.attention_dropout = 0.1
hparams.layer_prepostprocess_dropout = 0.2
hparams.relu_dropout = 0.1
hparams.label_smoothing = 0.0
# Using noise broadcast in the dropout layers saves memory during training.
hparams.attention_dropout_broadcast_dims = "0,1" # batch, heads
hparams.relu_dropout_broadcast_dims = "1" # length
hparams.layer_prepostprocess_dropout_broadcast_dims = "1" # length
# Avoid an expensive concat on TPU.
# >1 shards helps with faster parameter distribution on multi-GPU machines
hparams.symbol_modality_num_shards = 1
return hparams
|
python
|
def transformer_wikitext103_l4k_v0():
"""HParams for training languagemodel_wikitext103_l4k."""
hparams = transformer_big()
# Adafactor uses less memory than Adam.
# switch to Adafactor with its recommended learning rate scheme.
hparams.optimizer = "Adafactor"
hparams.learning_rate_schedule = "rsqrt_decay"
hparams.learning_rate_warmup_steps = 10000
hparams.num_heads = 4
hparams.max_length = 4096
hparams.batch_size = 4096
hparams.shared_embedding_and_softmax_weights = False
hparams.num_hidden_layers = 8
hparams.attention_dropout = 0.1
hparams.layer_prepostprocess_dropout = 0.2
hparams.relu_dropout = 0.1
hparams.label_smoothing = 0.0
# Using noise broadcast in the dropout layers saves memory during training.
hparams.attention_dropout_broadcast_dims = "0,1" # batch, heads
hparams.relu_dropout_broadcast_dims = "1" # length
hparams.layer_prepostprocess_dropout_broadcast_dims = "1" # length
# Avoid an expensive concat on TPU.
# >1 shards helps with faster parameter distribution on multi-GPU machines
hparams.symbol_modality_num_shards = 1
return hparams
|
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] |
HParams for training languagemodel_wikitext103_l4k.
|
[
"HParams",
"for",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2615-L2645
|
train
|
HParams for training languagemodel_wikitext103_l4k_v0.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b0 + 0o157) + '\x33' + chr(0b110000) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001011 + 0o44) + chr(49) + chr(2135 - 2086) + chr(0b101110 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(0b11010 + 0o33), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1321 - 1270) + chr(52) + chr(48), 23403 - 23395), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1001 + 0o146) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10101 + 0o36) + chr(1855 - 1800) + chr(0b11100 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(56 - 5) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\065' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1358 - 1308) + chr(0b101101 + 0o3) + chr(1335 - 1284), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b100000 + 0o27) + chr(0b110000 + 0o3), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100000 + 0o22) + chr(131 - 82) + chr(0b10101 + 0o42), 63975 - 63967), ehT0Px3KOsy9(chr(1099 - 1051) + '\157' + chr(1524 - 1475) + chr(0b100111 + 0o11) + chr(0b11101 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + '\x31' + '\x37' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + '\x33' + chr(0b11110 + 0o23) + '\066', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\063' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + chr(1635 - 1580) + chr(53), 23503 - 23495), ehT0Px3KOsy9(chr(2046 - 1998) + chr(111) + chr(741 - 691) + chr(863 - 814) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\064' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(9303 - 9192) + '\062' + chr(55) + chr(54), 47399 - 47391), ehT0Px3KOsy9(chr(0b110000) + chr(5022 - 4911) + '\062' + chr(0b110101) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110111), 14512 - 14504), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + '\061' + '\067' + chr(0b110100), 13118 - 13110), ehT0Px3KOsy9(chr(0b110000) + chr(0b101000 + 0o107) + '\066', 8716 - 8708), ehT0Px3KOsy9(chr(391 - 343) + chr(3660 - 3549) + chr(0b110001) + '\060', 39121 - 39113), ehT0Px3KOsy9('\x30' + chr(0b10110 + 0o131) + chr(0b110011) + '\064', 355 - 347), ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + '\x36' + chr(0b110101), 9602 - 9594), ehT0Px3KOsy9(chr(1150 - 1102) + chr(0b1101111) + chr(0b1101 + 0o46) + chr(0b100110 + 0o16), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(1959 - 1905), 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + '\061' + chr(0b10100 + 0o34) + chr(2108 - 2056), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + '\061' + '\066' + chr(677 - 625), 38968 - 38960), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(0b110011) + chr(49) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\x37', 8), ehT0Px3KOsy9(chr(1142 - 1094) + '\157' + '\062' + '\062' + '\x32', 0o10), ehT0Px3KOsy9(chr(950 - 902) + chr(0b10 + 0o155) + chr(2457 - 2406) + '\060' + '\065', 17009 - 17001), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(3339 - 3228) + '\062' + chr(50) + chr(869 - 814), 55715 - 55707), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\060' + '\065', 8), ehT0Px3KOsy9(chr(278 - 230) + chr(0b1101111) + chr(0b110001 + 0o0) + '\x35' + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(48) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(0b110011) + '\062' + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b101 + 0o55) + chr(0b11 + 0o56), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(1035 - 924) + chr(0b110101) + chr(0b11010 + 0o26), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xee'), '\x64' + '\x65' + chr(6157 - 6058) + chr(111) + chr(0b1100100) + chr(9059 - 8958))('\165' + chr(12768 - 12652) + '\x66' + chr(984 - 939) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FljHBSloTJZX():
n4ljua2gi1Pr = nN_LPsMGDqVG()
n4ljua2gi1Pr.XdKNcYRObPK3 = xafqLlk3kkUe(SXOLrMavuUCe(b'\x81-L\x86f\x99m\xc1\xf1'), chr(754 - 654) + '\x65' + chr(4024 - 3925) + '\157' + '\144' + '\145')(chr(0b1110101) + chr(4040 - 3924) + chr(0b1100110) + chr(0b10111 + 0o26) + chr(0b111000))
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2:\\\x92s\xa5}\xcb\xe0\xda\xf6'), '\x64' + '\145' + chr(99) + chr(0b1101111) + chr(0b0 + 0o144) + chr(0b1100101))('\165' + '\164' + chr(0b111010 + 0o54) + chr(0b101101) + chr(0b1110 + 0o52))
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\063' + chr(0b110 + 0o56) + chr(50) + '\060', 0o10)
n4ljua2gi1Pr.vRVqPOZ1hUG7 = ehT0Px3KOsy9(chr(48) + '\157' + chr(52), 0o10)
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(1435 - 1387) + chr(48) + chr(0b110000) + chr(0b100100 + 0o14), 0o10)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\060' + chr(4191 - 4080) + chr(646 - 597) + '\x30' + '\060' + chr(1296 - 1248) + chr(0b110000), 8)
n4ljua2gi1Pr.qVamxim0L2I1 = ehT0Px3KOsy9('\x30' + chr(111) + '\x30', ord("\x08"))
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(1346 - 1298) + chr(111) + '\x31' + chr(532 - 484), 8)
n4ljua2gi1Pr.RdMRr3qkYioQ = 0.1
n4ljua2gi1Pr.RW_xSzp18UeS = 0.2
n4ljua2gi1Pr.PJc0PNdBnSag = 0.1
n4ljua2gi1Pr.FSjUgdaczzRk = 0.0
n4ljua2gi1Pr.UNqT6jwzCz6Y = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0e\x1c'), '\x64' + chr(101) + '\x63' + chr(7222 - 7111) + '\144' + '\x65')(chr(3535 - 3418) + '\x74' + chr(4741 - 4639) + chr(0b111 + 0o46) + chr(2169 - 2113))
n4ljua2gi1Pr.xC8v_AiQ1DCT = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1'), chr(0b1000100 + 0o40) + chr(0b1100101) + '\x63' + chr(111) + '\x64' + chr(101))('\x75' + chr(12776 - 12660) + chr(0b1100110) + chr(45) + chr(0b111000))
n4ljua2gi1Pr.An2Jt26Rv5CT = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1'), '\144' + chr(101) + chr(3188 - 3089) + '\x6f' + chr(0b1100100) + chr(4706 - 4605))('\x75' + '\164' + '\x66' + '\055' + '\x38')
n4ljua2gi1Pr.iBYlnqUAwgIX = ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 0b1000)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_wikitext103_l4k_memory_v0
|
def transformer_wikitext103_l4k_memory_v0():
"""HParams for training languagemodel_wikitext103_l4k with memory."""
hparams = transformer_wikitext103_l4k_v0()
hparams.split_targets_chunk_length = 64
hparams.split_targets_max_chunks = 64
hparams.split_targets_strided_training = True
hparams.add_hparam("memory_type", "transformer_xl")
# The hparams specify batch size *before* chunking, but we want to have a
# consistent 4K batch size *after* chunking to fully utilize the hardware.
target_tokens_per_batch = 4096
hparams.batch_size = int(target_tokens_per_batch * (
hparams.max_length / hparams.split_targets_chunk_length)) # 262144
hparams.pos = None
hparams.self_attention_type = "dot_product_relative"
hparams.max_relative_position = 2 * hparams.split_targets_chunk_length
hparams.add_hparam("unconditional", True)
hparams.add_hparam("recurrent_memory_batch_size", 0) # 0 = try to guess
# By default, cache one chunk only (like Transformer-XL)
hparams.add_hparam("num_memory_items", hparams.split_targets_chunk_length)
return hparams
|
python
|
def transformer_wikitext103_l4k_memory_v0():
"""HParams for training languagemodel_wikitext103_l4k with memory."""
hparams = transformer_wikitext103_l4k_v0()
hparams.split_targets_chunk_length = 64
hparams.split_targets_max_chunks = 64
hparams.split_targets_strided_training = True
hparams.add_hparam("memory_type", "transformer_xl")
# The hparams specify batch size *before* chunking, but we want to have a
# consistent 4K batch size *after* chunking to fully utilize the hardware.
target_tokens_per_batch = 4096
hparams.batch_size = int(target_tokens_per_batch * (
hparams.max_length / hparams.split_targets_chunk_length)) # 262144
hparams.pos = None
hparams.self_attention_type = "dot_product_relative"
hparams.max_relative_position = 2 * hparams.split_targets_chunk_length
hparams.add_hparam("unconditional", True)
hparams.add_hparam("recurrent_memory_batch_size", 0) # 0 = try to guess
# By default, cache one chunk only (like Transformer-XL)
hparams.add_hparam("num_memory_items", hparams.split_targets_chunk_length)
return hparams
|
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HParams for training languagemodel_wikitext103_l4k with memory.
|
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272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2649-L2673
|
train
|
HParams for training languagemodel_wikitext103_l4k with memory.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110010) + '\x31', 18684 - 18676), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001010 + 0o45) + chr(0b101000 + 0o12) + chr(787 - 737) + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(48) + chr(0b10 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100001 + 0o21) + chr(53) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(49) + '\x37' + chr(54), 51254 - 51246), ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + chr(51) + '\x30' + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(52) + '\064', 49138 - 49130), ehT0Px3KOsy9(chr(1374 - 1326) + '\157' + chr(0b1001 + 0o51) + chr(0b100000 + 0o22), 20228 - 20220), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + '\x32' + chr(0b11000 + 0o30) + chr(0b11011 + 0o33), 8), ehT0Px3KOsy9(chr(1275 - 1227) + '\157' + chr(0b110101) + chr(0b1111 + 0o42), 0o10), ehT0Px3KOsy9(chr(676 - 628) + '\157' + chr(2550 - 2497) + '\x33', 18123 - 18115), ehT0Px3KOsy9(chr(48) + chr(4619 - 4508) + chr(0b110011) + '\x37' + '\065', 54090 - 54082), ehT0Px3KOsy9(chr(48) + '\157' + chr(55) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100101 + 0o12) + chr(49) + chr(49) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\065' + chr(0b100100 + 0o16), 59699 - 59691), ehT0Px3KOsy9('\x30' + chr(3902 - 3791) + '\062' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(49) + chr(54) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(1185 - 1137) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + '\061' + chr(0b110100) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\x31' + chr(0b110000 + 0o7) + chr(2407 - 2356), 46166 - 46158), ehT0Px3KOsy9(chr(1343 - 1295) + chr(7946 - 7835) + chr(0b110010) + chr(2561 - 2509) + chr(1013 - 965), 10365 - 10357), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(483 - 434) + chr(474 - 420) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11000 + 0o32) + chr(0b110010) + '\066', 56680 - 56672), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + '\061' + chr(0b110110) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(5374 - 5263) + chr(0b1001 + 0o51) + '\x34' + chr(53), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b10100 + 0o36) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(2169 - 2119) + '\x32' + chr(0b100 + 0o56), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11000 + 0o32) + '\064' + chr(0b100101 + 0o20), 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + '\x36' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6452 - 6341) + chr(462 - 412) + chr(52) + chr(48), 8), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + '\061' + chr(1942 - 1892) + chr(544 - 494), 0b1000), ehT0Px3KOsy9(chr(1706 - 1658) + chr(0b1101001 + 0o6) + chr(0b10011 + 0o37) + chr(52) + chr(0b110100), 37606 - 37598), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(10145 - 10034) + '\062' + chr(0b110110) + chr(207 - 152), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1737 - 1688) + '\x33' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(769 - 718) + '\x31' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100001 + 0o22) + chr(0b101000 + 0o14) + chr(0b110 + 0o52), 0b1000), ehT0Px3KOsy9(chr(949 - 901) + chr(0b100101 + 0o112) + '\x33' + chr(0b110110) + chr(2085 - 2034), 0o10), ehT0Px3KOsy9('\x30' + chr(1367 - 1256) + '\067' + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5754 - 5643) + '\063' + chr(54) + chr(0b110000 + 0o2), 10026 - 10018)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b100 + 0o153) + '\x35' + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf'), chr(0b1100100) + '\145' + chr(3472 - 3373) + chr(111) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1110100) + '\146' + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def lESoFxqhLci8():
n4ljua2gi1Pr = FljHBSloTJZX()
n4ljua2gi1Pr.PEqjuuAf_mVO = ehT0Px3KOsy9(chr(1326 - 1278) + chr(10940 - 10829) + chr(1444 - 1395) + chr(48) + chr(0b110000), ord("\x08"))
n4ljua2gi1Pr.gzYFZJhvndyK = ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\x30' + chr(0b110000), 8)
n4ljua2gi1Pr.RLtYcHEMyTsu = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31', 0b1000)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xf5\xe2\xf5\x16\xb6\x85`\xe7D'), '\144' + '\145' + chr(0b101010 + 0o71) + chr(0b1101111) + '\x64' + '\145')(chr(1054 - 937) + '\164' + '\x66' + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\xf4\xeb\xc5\x0c\xbf\xbbf\xffYN'), chr(0b111110 + 0o46) + chr(0b101010 + 0o73) + chr(99) + chr(0b1010100 + 0o33) + chr(7835 - 7735) + chr(101))(chr(0b1110101) + chr(5918 - 5802) + '\146' + chr(1727 - 1682) + chr(0b110101 + 0o3)), xafqLlk3kkUe(SXOLrMavuUCe(b"\xe5\xe3\xe7\xc4\r\xa0\x8b`\xebLY\xa2C'"), chr(0b1100100) + chr(0b1010101 + 0o20) + chr(99) + chr(111) + chr(0b1010111 + 0o15) + '\x65')(chr(0b1110101) + chr(116) + '\x66' + chr(45) + chr(1921 - 1865)))
FQTR9N1lJOAV = ehT0Px3KOsy9(chr(422 - 374) + chr(0b1101111) + chr(49) + '\060' + '\060' + chr(48) + chr(48), 0o10)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(FQTR9N1lJOAV * (n4ljua2gi1Pr._o7pVXAdOCRy / n4ljua2gi1Pr.PEqjuuAf_mVO))
n4ljua2gi1Pr.NXd0aqYJd4lK = None
n4ljua2gi1Pr.tbgb2B3hnGPW = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xfe\xf2\xf5\x0e\xb4\x8bv\xf3J_\xa2I.\x86p\x04\xa8\x15\x1e'), '\144' + chr(0b10011 + 0o122) + chr(4082 - 3983) + chr(0b100 + 0o153) + chr(0b1100100) + '\145')('\165' + chr(116) + chr(102) + chr(817 - 772) + chr(2059 - 2003))
n4ljua2gi1Pr.Fskwuexcn3MJ = ehT0Px3KOsy9('\x30' + '\157' + chr(0b110 + 0o54), 0o10) * n4ljua2gi1Pr.PEqjuuAf_mVO
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xf5\xe2\xf5\x16\xb6\x85`\xe7D'), chr(0b1100100) + '\145' + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + '\x66' + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xff\xe5\xc5\x10\xa2\x8df\xefFE\x9cW'), chr(0b1100100) + chr(0b1100101) + chr(0b11000 + 0o113) + chr(0b111001 + 0o66) + chr(0b0 + 0o144) + '\x65')(chr(117) + chr(116) + chr(0b11110 + 0o110) + chr(45) + chr(0b111000)), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xf5\xe2\xf5\x16\xb6\x85`\xe7D'), chr(0b101001 + 0o73) + chr(9297 - 9196) + chr(7608 - 7509) + chr(4683 - 4572) + '\144' + '\x65')('\x75' + chr(13249 - 13133) + chr(102) + chr(0b1110 + 0o37) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xf4\xe5\xdf\x0c\xb4\x81|\xf2vF\x98V$\x98h/\xa3\x02\x0f\xc3\x1a\xc9\x03l\xdf\xf5'), chr(100) + '\x65' + chr(0b10100 + 0o117) + chr(111) + chr(6838 - 6738) + chr(5990 - 5889))(chr(0b1110101) + '\164' + chr(0b100011 + 0o103) + '\x2d' + chr(56)), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1 + 0o57), 51872 - 51864))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0\xf5\xe2\xf5\x16\xb6\x85`\xe7D'), chr(0b1101 + 0o127) + chr(0b1001110 + 0o27) + chr(0b1100011) + chr(4612 - 4501) + chr(0b110 + 0o136) + chr(0b1010111 + 0o16))(chr(0b1110101) + chr(116) + chr(102) + '\055' + chr(0b11000 + 0o40)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xe4\xeb\xf5\x13\xa3\x89}\xf4Pt\x94O.\x87b'), '\144' + '\145' + '\143' + chr(0b111011 + 0o64) + '\144' + '\145')(chr(1228 - 1111) + chr(5902 - 5786) + '\x66' + '\055' + chr(0b111000)), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\xd4\xf7\xc0\x0b\xb3\xa5t\xd9D}\xb2'), '\144' + chr(0b1100101) + chr(0b1000010 + 0o41) + chr(111) + '\x64' + '\x65')('\165' + chr(116) + '\x66' + chr(1158 - 1113) + '\070')))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_wikitext103_l16k_memory_v0
|
def transformer_wikitext103_l16k_memory_v0():
"""HParams for training languagemodel_wikitext103_l16k with memory."""
hparams = transformer_wikitext103_l4k_memory_v0()
hparams.max_length = 16384
hparams.split_targets_chunk_length = 64
hparams.split_targets_max_chunks = int(
hparams.max_length / hparams.split_targets_chunk_length)
# The hparams specify batch size *before* chunking, but we want to have a
# consistent 4K batch size *after* chunking to fully utilize the hardware.
target_tokens_per_batch = 4096
hparams.batch_size = int(target_tokens_per_batch * (
hparams.max_length / hparams.split_targets_chunk_length))
hparams.max_relative_position = 2 * hparams.split_targets_chunk_length
return hparams
|
python
|
def transformer_wikitext103_l16k_memory_v0():
"""HParams for training languagemodel_wikitext103_l16k with memory."""
hparams = transformer_wikitext103_l4k_memory_v0()
hparams.max_length = 16384
hparams.split_targets_chunk_length = 64
hparams.split_targets_max_chunks = int(
hparams.max_length / hparams.split_targets_chunk_length)
# The hparams specify batch size *before* chunking, but we want to have a
# consistent 4K batch size *after* chunking to fully utilize the hardware.
target_tokens_per_batch = 4096
hparams.batch_size = int(target_tokens_per_batch * (
hparams.max_length / hparams.split_targets_chunk_length))
hparams.max_relative_position = 2 * hparams.split_targets_chunk_length
return hparams
|
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HParams for training languagemodel_wikitext103_l16k with memory.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2677-L2694
|
train
|
HParams for training languagemodel_wikitext103_l16k with memory.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(1969 - 1920) + chr(0b110010) + chr(1228 - 1176), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x34' + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110001) + chr(0b110011), 26083 - 26075), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(54) + chr(65 - 12), 23986 - 23978), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(50) + chr(54) + chr(0b110110 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(1062 - 951) + chr(0b110010) + chr(53) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(1849 - 1799) + chr(55) + '\062', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(0b101101 + 0o5) + chr(0b110101) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(403 - 355) + '\157' + '\x32', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(54) + chr(0b100100 + 0o16), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51), 21036 - 21028), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(48) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000 + 0o147) + '\063' + '\x30' + chr(2140 - 2086), 0b1000), ehT0Px3KOsy9(chr(1758 - 1710) + '\157' + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(1158 - 1108) + chr(50), 0b1000), ehT0Px3KOsy9(chr(1165 - 1117) + chr(111) + chr(49) + '\x33' + '\066', 56877 - 56869), ehT0Px3KOsy9('\060' + chr(0b1010101 + 0o32) + '\x35' + chr(52), 19856 - 19848), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + '\062' + chr(276 - 227), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1001 + 0o50) + chr(0b110111) + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\067', 0o10), ehT0Px3KOsy9(chr(277 - 229) + chr(11297 - 11186) + chr(0b1100 + 0o52) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(2377 - 2327) + '\060', 22074 - 22066), ehT0Px3KOsy9(chr(1576 - 1528) + '\157' + chr(0b110010) + chr(0b11 + 0o56) + chr(0b11 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4997 - 4886) + chr(846 - 797) + '\x36' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b110010) + chr(0b100110 + 0o20), 13832 - 13824), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(49) + '\066' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1 + 0o156) + '\x33' + chr(367 - 317) + '\x36', 56234 - 56226), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100001 + 0o20) + chr(0b100110 + 0o20) + chr(639 - 589), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1894 - 1845) + '\064' + chr(289 - 236), 0o10), ehT0Px3KOsy9('\060' + chr(10295 - 10184) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(2193 - 2145) + chr(5171 - 5060) + '\x31' + chr(50) + chr(49), 26224 - 26216), ehT0Px3KOsy9(chr(1320 - 1272) + chr(7056 - 6945) + chr(0b110111) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\067' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(825 - 773), 31689 - 31681), ehT0Px3KOsy9(chr(831 - 783) + chr(111) + '\063' + chr(0b110001) + chr(200 - 151), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1110 + 0o141) + '\061' + chr(51) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(4438 - 4327) + '\x32' + '\x37' + chr(0b101011 + 0o14), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(2407 - 2352) + '\x35', 8), ehT0Px3KOsy9(chr(1351 - 1303) + chr(0b1101111) + chr(0b110001) + chr(0b10010 + 0o41) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000011 + 0o54) + chr(0b110010) + chr(0b110 + 0o54), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(0b110101) + chr(1193 - 1145), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'z'), chr(8745 - 8645) + '\145' + chr(99) + chr(11169 - 11058) + chr(0b1100100) + chr(5167 - 5066))('\165' + chr(0b1110100) + chr(0b101110 + 0o70) + chr(743 - 698) + chr(0b110001 + 0o7)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xa7g5weobzck():
n4ljua2gi1Pr = lESoFxqhLci8()
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9(chr(48) + '\157' + chr(2487 - 2435) + chr(48) + chr(48) + '\x30' + '\x30', ord("\x08"))
n4ljua2gi1Pr.PEqjuuAf_mVO = ehT0Px3KOsy9('\x30' + '\157' + chr(0b0 + 0o61) + chr(48) + chr(0b110000), 27224 - 27216)
n4ljua2gi1Pr.gzYFZJhvndyK = ehT0Px3KOsy9(n4ljua2gi1Pr._o7pVXAdOCRy / n4ljua2gi1Pr.PEqjuuAf_mVO)
FQTR9N1lJOAV = ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\061' + chr(1632 - 1584) + chr(1892 - 1844) + '\x30' + chr(48), 0b1000)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(FQTR9N1lJOAV * (n4ljua2gi1Pr._o7pVXAdOCRy / n4ljua2gi1Pr.PEqjuuAf_mVO))
n4ljua2gi1Pr.Fskwuexcn3MJ = ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(12317 - 12206) + chr(0b110010), 8) * n4ljua2gi1Pr.PEqjuuAf_mVO
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_cifar10_memory_v0
|
def transformer_cifar10_memory_v0():
"""HParams for training image_cifar10_plain_gen_flat_rev with memory."""
hparams = transformer_wikitext103_l4k_memory_v0()
hparams.num_hidden_layers = 6
hparams.max_length = 32 * 32 * 3
hparams.split_targets_chunk_length = 64 * 3
hparams.split_targets_max_chunks = int(
hparams.max_length / hparams.split_targets_chunk_length)
hparams.num_memory_items = 128 * 3
# Since this is an image problem, batch size refers to examples (not tokens)
target_images_per_batch = 4
hparams.batch_size = int(target_images_per_batch * (
hparams.max_length / hparams.split_targets_chunk_length))
# The recurrent memory needs to know the actual batch size (in sequences)
hparams.recurrent_memory_batch_size = hparams.batch_size
hparams.max_relative_position = (
hparams.num_memory_items + hparams.split_targets_chunk_length)
return hparams
|
python
|
def transformer_cifar10_memory_v0():
"""HParams for training image_cifar10_plain_gen_flat_rev with memory."""
hparams = transformer_wikitext103_l4k_memory_v0()
hparams.num_hidden_layers = 6
hparams.max_length = 32 * 32 * 3
hparams.split_targets_chunk_length = 64 * 3
hparams.split_targets_max_chunks = int(
hparams.max_length / hparams.split_targets_chunk_length)
hparams.num_memory_items = 128 * 3
# Since this is an image problem, batch size refers to examples (not tokens)
target_images_per_batch = 4
hparams.batch_size = int(target_images_per_batch * (
hparams.max_length / hparams.split_targets_chunk_length))
# The recurrent memory needs to know the actual batch size (in sequences)
hparams.recurrent_memory_batch_size = hparams.batch_size
hparams.max_relative_position = (
hparams.num_memory_items + hparams.split_targets_chunk_length)
return hparams
|
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HParams for training image_cifar10_plain_gen_flat_rev with memory.
|
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272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2698-L2721
|
train
|
HParams for training image_cifar10_plain_gen_flat_rev with memory.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(1520 - 1469) + '\063' + '\x37', 46318 - 46310), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\061' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b110001) + chr(136 - 86), 24334 - 24326), ehT0Px3KOsy9('\060' + chr(1961 - 1850) + '\x32' + chr(0b110010) + '\062', 0b1000), ehT0Px3KOsy9(chr(804 - 756) + chr(0b1101010 + 0o5) + chr(732 - 683) + '\x32' + chr(0b0 + 0o64), 34266 - 34258), ehT0Px3KOsy9('\060' + chr(0b1010101 + 0o32) + chr(0b1001 + 0o55) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\x34' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(53) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(897 - 849) + chr(0b1100000 + 0o17) + chr(1463 - 1413) + chr(0b10100 + 0o35) + chr(437 - 388), 0b1000), ehT0Px3KOsy9(chr(2151 - 2103) + '\x6f' + '\x31' + chr(898 - 843) + chr(0b101101 + 0o11), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x37' + chr(2597 - 2544), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b110010) + chr(54), 1833 - 1825), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + '\062' + chr(0b110000) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(11682 - 11571) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(1461 - 1411) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100001 + 0o22) + '\x35' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + '\x37' + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\067' + '\x37', 8), ehT0Px3KOsy9(chr(1068 - 1020) + chr(0b1101011 + 0o4) + chr(0b10111 + 0o34) + '\x35' + chr(50), 0b1000), ehT0Px3KOsy9(chr(158 - 110) + '\157' + chr(0b101110 + 0o5) + chr(2029 - 1981) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\065' + chr(1192 - 1144), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1010111 + 0o30) + '\063' + chr(0b110111) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b110000) + chr(1499 - 1451), 8), ehT0Px3KOsy9('\060' + chr(8081 - 7970) + chr(0b110010) + chr(50) + chr(1206 - 1155), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1558 - 1510) + '\x6f' + '\x31' + chr(887 - 838) + chr(2182 - 2134), 8111 - 8103), ehT0Px3KOsy9('\060' + chr(2163 - 2052) + '\063' + chr(0b11010 + 0o33), 23020 - 23012), ehT0Px3KOsy9('\x30' + chr(12133 - 12022) + chr(0b110111) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(9517 - 9406) + '\062' + chr(0b110001) + chr(2385 - 2332), 8450 - 8442), ehT0Px3KOsy9(chr(1656 - 1608) + chr(111) + '\x32' + chr(675 - 622) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + '\x32' + chr(1130 - 1078) + '\065', 0b1000), ehT0Px3KOsy9(chr(1814 - 1766) + chr(111) + chr(0b110010) + chr(0b110001) + '\060', 0b1000), ehT0Px3KOsy9(chr(413 - 365) + chr(111) + chr(0b110001) + '\061' + chr(53), 50708 - 50700), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100000 + 0o21) + chr(0b110001) + chr(54), 8), ehT0Px3KOsy9(chr(365 - 317) + chr(111) + chr(0b10101 + 0o34) + '\x35' + chr(1592 - 1540), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100101 + 0o14) + '\062' + chr(50), 32490 - 32482), ehT0Px3KOsy9(chr(539 - 491) + '\x6f' + '\x32' + chr(227 - 173) + chr(0b100010 + 0o20), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100000 + 0o25) + chr(0b11 + 0o62), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(2272 - 2221) + chr(0b110001) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + chr(1624 - 1575) + chr(0b10101 + 0o36) + chr(0b110011), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + chr(0b100010 + 0o23) + chr(837 - 789), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1'), chr(356 - 256) + '\145' + chr(99) + chr(0b1001111 + 0o40) + '\x64' + chr(0b1100101))(chr(117) + '\164' + chr(4929 - 4827) + chr(0b10001 + 0o34) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mh7m4b1LAc7x():
n4ljua2gi1Pr = lESoFxqhLci8()
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9('\060' + chr(5075 - 4964) + chr(54), 0b1000)
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1000111 + 0o50) + '\064' + chr(48), 53632 - 53624) * ehT0Px3KOsy9(chr(149 - 101) + '\x6f' + '\064' + chr(0b110000), 8) * ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011), 0o10)
n4ljua2gi1Pr.PEqjuuAf_mVO = ehT0Px3KOsy9(chr(1387 - 1339) + '\157' + chr(561 - 512) + chr(1473 - 1425) + '\x30', 0o10) * ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011), 8)
n4ljua2gi1Pr.gzYFZJhvndyK = ehT0Px3KOsy9(n4ljua2gi1Pr._o7pVXAdOCRy / n4ljua2gi1Pr.PEqjuuAf_mVO)
n4ljua2gi1Pr.NtKXswJwRoOe = ehT0Px3KOsy9('\x30' + chr(0b1011 + 0o144) + chr(50) + chr(0b111 + 0o51) + chr(0b110000), ord("\x08")) * ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011), 8)
Mkt1ayR6DMnq = ehT0Px3KOsy9(chr(485 - 437) + '\157' + chr(52), 8)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(Mkt1ayR6DMnq * (n4ljua2gi1Pr._o7pVXAdOCRy / n4ljua2gi1Pr.PEqjuuAf_mVO))
n4ljua2gi1Pr.o0WQo1SkjS3J = n4ljua2gi1Pr.ix9dZyeAmUxY
n4ljua2gi1Pr.Fskwuexcn3MJ = n4ljua2gi1Pr.NtKXswJwRoOe + n4ljua2gi1Pr.PEqjuuAf_mVO
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/transformer.py
|
transformer_imagenet64_memory_v0
|
def transformer_imagenet64_memory_v0():
"""HParams for training image_imagenet64_gen_flat_rev with memory."""
hparams = transformer_cifar10_memory_v0()
hparams.max_length = 64 * 64 * 3
hparams.split_targets_chunk_length = 64 * 3
hparams.split_targets_max_chunks = int(
hparams.max_length / hparams.split_targets_chunk_length)
hparams.num_memory_items = 128 * 3
# Since this is an image problem, batch size refers to examples (not tokens)
target_images_per_batch = 2
hparams.batch_size = int(target_images_per_batch * (
hparams.max_length / hparams.split_targets_chunk_length))
# The recurrent memory needs to know the actual batch size (in sequences)
hparams.recurrent_memory_batch_size = hparams.batch_size
hparams.max_relative_position = 3072
return hparams
|
python
|
def transformer_imagenet64_memory_v0():
"""HParams for training image_imagenet64_gen_flat_rev with memory."""
hparams = transformer_cifar10_memory_v0()
hparams.max_length = 64 * 64 * 3
hparams.split_targets_chunk_length = 64 * 3
hparams.split_targets_max_chunks = int(
hparams.max_length / hparams.split_targets_chunk_length)
hparams.num_memory_items = 128 * 3
# Since this is an image problem, batch size refers to examples (not tokens)
target_images_per_batch = 2
hparams.batch_size = int(target_images_per_batch * (
hparams.max_length / hparams.split_targets_chunk_length))
# The recurrent memory needs to know the actual batch size (in sequences)
hparams.recurrent_memory_batch_size = hparams.batch_size
hparams.max_relative_position = 3072
return hparams
|
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HParams for training image_imagenet64_gen_flat_rev with memory.
|
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272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/transformer.py#L2725-L2745
|
train
|
HParams for training image_imagenet64_gen_flat_rev with memory.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1110 - 1062) + chr(0b1101111) + '\x32' + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100 + 0o153) + chr(51) + chr(0b110110) + '\x32', 44071 - 44063), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001 + 0o2) + '\065' + chr(50), 34899 - 34891), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + '\063' + chr(0b100100 + 0o20) + chr(0b10100 + 0o43), 30864 - 30856), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(563 - 512) + chr(2550 - 2497) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b1010 + 0o52) + chr(48), 13872 - 13864), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(2126 - 2077), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b110010) + chr(49) + '\x34', 4345 - 4337), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b0 + 0o62) + '\062' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b101100 + 0o5) + '\x37', 13690 - 13682), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100 + 0o56) + '\x34' + '\067', 53694 - 53686), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\x35' + '\065', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b1011 + 0o52) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110101) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(358 - 310) + chr(9228 - 9117) + '\x32' + chr(0b110111) + chr(963 - 908), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + '\061' + '\x30' + chr(0b110 + 0o55), 63268 - 63260), ehT0Px3KOsy9(chr(65 - 17) + chr(0b10111 + 0o130) + '\061' + chr(0b110101) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + chr(233 - 182) + '\062', 0o10), ehT0Px3KOsy9(chr(909 - 861) + '\x6f' + '\x32' + chr(2187 - 2136) + chr(48), 0o10), ehT0Px3KOsy9(chr(1528 - 1480) + chr(12005 - 11894) + chr(0b10010 + 0o40) + '\x32' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11 + 0o63) + chr(0b10101 + 0o40), 0b1000), ehT0Px3KOsy9(chr(1528 - 1480) + chr(0b1101111) + '\x31' + chr(111 - 59) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(258 - 208) + '\x33', 0b1000), ehT0Px3KOsy9(chr(1519 - 1471) + chr(5290 - 5179) + chr(527 - 472) + chr(0b10110 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\066' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(7884 - 7773) + chr(51) + '\064' + chr(0b10011 + 0o41), 44448 - 44440), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(0b110 + 0o54) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(127 - 79) + chr(0b100110 + 0o111) + chr(0b110010) + '\x37' + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b10100 + 0o35) + chr(0b110111), 37091 - 37083), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b1001 + 0o55) + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100111 + 0o14) + chr(0b10110 + 0o40) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101000 + 0o12) + '\067' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(0b110010) + chr(1631 - 1583) + chr(54), 56693 - 56685), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b10110 + 0o41) + chr(48), 58841 - 58833), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\062' + chr(195 - 144), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(51), 0o10), ehT0Px3KOsy9(chr(1025 - 977) + chr(0b1101111) + '\067' + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + chr(1911 - 1862) + '\067' + chr(1803 - 1748), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + chr(51) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100001 + 0o22) + chr(1838 - 1784), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1011011 + 0o24) + '\065' + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'?'), chr(7744 - 7644) + chr(101) + chr(0b1100011) + chr(4998 - 4887) + chr(2357 - 2257) + chr(0b1100101))('\165' + chr(116) + '\x66' + chr(1978 - 1933) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uqszfnoFVaGl():
n4ljua2gi1Pr = mh7m4b1LAc7x()
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9(chr(48) + chr(2393 - 2282) + chr(49) + chr(0b110000) + chr(48), ord("\x08")) * ehT0Px3KOsy9(chr(48) + chr(5232 - 5121) + chr(0b110001) + chr(0b110000) + chr(0b1010 + 0o46), 8) * ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + '\x33', 0b1000)
n4ljua2gi1Pr.PEqjuuAf_mVO = ehT0Px3KOsy9(chr(0b110000) + chr(3008 - 2897) + chr(2075 - 2026) + chr(0b10011 + 0o35) + chr(2111 - 2063), 8) * ehT0Px3KOsy9('\x30' + '\x6f' + '\x33', 8)
n4ljua2gi1Pr.gzYFZJhvndyK = ehT0Px3KOsy9(n4ljua2gi1Pr._o7pVXAdOCRy / n4ljua2gi1Pr.PEqjuuAf_mVO)
n4ljua2gi1Pr.NtKXswJwRoOe = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(2105 - 2057) + chr(48), 0b1000) * ehT0Px3KOsy9(chr(48) + '\157' + chr(51), 8)
Mkt1ayR6DMnq = ehT0Px3KOsy9('\x30' + chr(111) + '\x32', 0o10)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(Mkt1ayR6DMnq * (n4ljua2gi1Pr._o7pVXAdOCRy / n4ljua2gi1Pr.PEqjuuAf_mVO))
n4ljua2gi1Pr.o0WQo1SkjS3J = n4ljua2gi1Pr.ix9dZyeAmUxY
n4ljua2gi1Pr.Fskwuexcn3MJ = ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(0b11111 + 0o27) + chr(48) + '\x30' + '\x30', ord("\x08"))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
maybe_reshape_4d_to_3d
|
def maybe_reshape_4d_to_3d(x):
"""Reshape input from 4D to 3D if necessary."""
x_shape = common_layers.shape_list(x)
is_4d = False
if len(x_shape) == 4:
x = tf.reshape(x, [x_shape[0], x_shape[1]*x_shape[2], x_shape[3]])
is_4d = True
return x, x_shape, is_4d
|
python
|
def maybe_reshape_4d_to_3d(x):
"""Reshape input from 4D to 3D if necessary."""
x_shape = common_layers.shape_list(x)
is_4d = False
if len(x_shape) == 4:
x = tf.reshape(x, [x_shape[0], x_shape[1]*x_shape[2], x_shape[3]])
is_4d = True
return x, x_shape, is_4d
|
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] |
Reshape input from 4D to 3D if necessary.
|
[
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"if",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L72-L79
|
train
|
Reshape input from 4D to 3D if necessary.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b110011) + '\063' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1770 - 1659) + '\061' + '\064' + chr(1080 - 1030), 43960 - 43952), ehT0Px3KOsy9(chr(943 - 895) + '\157' + '\x33' + '\x33', 0b1000), ehT0Px3KOsy9(chr(590 - 542) + chr(111) + chr(0b110010) + chr(1604 - 1555) + chr(0b10010 + 0o42), 0b1000), ehT0Px3KOsy9('\x30' + chr(8512 - 8401) + chr(50) + '\064' + chr(1282 - 1227), 30912 - 30904), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\x30' + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000 + 0o147) + '\062' + chr(0b1101 + 0o46) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + '\x33' + chr(0b1011 + 0o45) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b10 + 0o57) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + '\061' + '\x37' + chr(0b101010 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(1239 - 1191) + chr(0b111100 + 0o63) + chr(51) + '\x37' + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10100 + 0o35) + chr(1496 - 1446) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(48) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9302 - 9191) + chr(51) + chr(51) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(0b110010) + chr(0b110001) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(0b110001 + 0o0) + chr(0b100011 + 0o16), 15500 - 15492), ehT0Px3KOsy9(chr(48) + chr(111) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(901 - 851) + '\x30' + chr(2328 - 2274), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101110 + 0o5) + chr(945 - 896) + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b1000 + 0o54), 40258 - 40250), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(48) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(2106 - 2052) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(402 - 354) + '\x6f' + chr(2520 - 2469) + chr(50) + chr(1075 - 1021), 0o10), ehT0Px3KOsy9(chr(48) + chr(3571 - 3460) + chr(0b110010) + chr(0b101001 + 0o15) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1843 - 1792) + chr(0b100 + 0o61) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\062' + chr(0b110 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\062' + chr(0b11001 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(1095 - 1044) + chr(50) + chr(2308 - 2254), 8), ehT0Px3KOsy9(chr(998 - 950) + chr(1741 - 1630) + chr(51) + chr(54), 53656 - 53648), ehT0Px3KOsy9(chr(2291 - 2243) + chr(0b1000100 + 0o53) + chr(0b11010 + 0o27) + '\x30' + chr(53), 46535 - 46527), ehT0Px3KOsy9(chr(1959 - 1911) + chr(111) + chr(0b110011) + chr(1387 - 1338) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(2318 - 2266) + '\x31', 26349 - 26341), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110001) + chr(0b10101 + 0o33), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11349 - 11238) + chr(51) + '\066' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + '\x32' + chr(0b11001 + 0o34), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11355 - 11244) + chr(53) + chr(870 - 819), ord("\x08")), ehT0Px3KOsy9(chr(1411 - 1363) + '\157' + chr(947 - 898) + '\x36' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(441 - 393) + chr(5891 - 5780) + '\062' + '\x35' + chr(0b101101 + 0o5), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + '\065' + chr(1173 - 1125), 27135 - 27127)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1'), '\x64' + '\x65' + chr(0b110101 + 0o56) + chr(0b100 + 0o153) + chr(3941 - 3841) + chr(4476 - 4375))('\165' + '\164' + '\x66' + '\x2d' + chr(0b110110 + 0o2)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def G4vbMfB6s2y3(OeWW0F1dBPRQ):
QQEXXbdZyz6m = jSKPaHwSAfVv.shape_list(OeWW0F1dBPRQ)
vW0Ca8rmt_5n = ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b110000), 8)
if c2A0yzQpDQB3(QQEXXbdZyz6m) == ehT0Px3KOsy9(chr(48) + chr(10799 - 10688) + chr(0b100011 + 0o21), ord("\x08")):
OeWW0F1dBPRQ = IDJ2eXGCBCDu.reshape(OeWW0F1dBPRQ, [QQEXXbdZyz6m[ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11011 + 0o25), 8)], QQEXXbdZyz6m[ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1100110 + 0o11) + chr(1981 - 1932), 0b1000)] * QQEXXbdZyz6m[ehT0Px3KOsy9(chr(48) + chr(111) + '\062', 8)], QQEXXbdZyz6m[ehT0Px3KOsy9('\x30' + chr(0b111111 + 0o60) + chr(51), 0o10)]])
vW0Ca8rmt_5n = ehT0Px3KOsy9(chr(1637 - 1589) + chr(111) + chr(1448 - 1399), 8)
return (OeWW0F1dBPRQ, QQEXXbdZyz6m, vW0Ca8rmt_5n)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
local_attention_2d
|
def local_attention_2d(x, hparams, attention_type="local_attention_2d"):
"""Local 2d, self attention layer."""
# self-attention
with tf.variable_scope("local_2d_self_att"):
y = common_attention.multihead_attention_2d(
x,
None,
hparams.attention_key_channels or hparams.hidden_size,
hparams.attention_value_channels or hparams.hidden_size,
hparams.hidden_size,
hparams.num_heads,
attention_type=attention_type,
query_shape=hparams.query_shape,
memory_flange=hparams.memory_flange,
name="self_attention")
return y
|
python
|
def local_attention_2d(x, hparams, attention_type="local_attention_2d"):
"""Local 2d, self attention layer."""
# self-attention
with tf.variable_scope("local_2d_self_att"):
y = common_attention.multihead_attention_2d(
x,
None,
hparams.attention_key_channels or hparams.hidden_size,
hparams.attention_value_channels or hparams.hidden_size,
hparams.hidden_size,
hparams.num_heads,
attention_type=attention_type,
query_shape=hparams.query_shape,
memory_flange=hparams.memory_flange,
name="self_attention")
return y
|
[
"def",
"local_attention_2d",
"(",
"x",
",",
"hparams",
",",
"attention_type",
"=",
"\"local_attention_2d\"",
")",
":",
"# self-attention",
"with",
"tf",
".",
"variable_scope",
"(",
"\"local_2d_self_att\"",
")",
":",
"y",
"=",
"common_attention",
".",
"multihead_attention_2d",
"(",
"x",
",",
"None",
",",
"hparams",
".",
"attention_key_channels",
"or",
"hparams",
".",
"hidden_size",
",",
"hparams",
".",
"attention_value_channels",
"or",
"hparams",
".",
"hidden_size",
",",
"hparams",
".",
"hidden_size",
",",
"hparams",
".",
"num_heads",
",",
"attention_type",
"=",
"attention_type",
",",
"query_shape",
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"query_shape",
",",
"memory_flange",
"=",
"hparams",
".",
"memory_flange",
",",
"name",
"=",
"\"self_attention\"",
")",
"return",
"y"
] |
Local 2d, self attention layer.
|
[
"Local",
"2d",
"self",
"attention",
"layer",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L82-L97
|
train
|
Local 2d self attention layer.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(52) + chr(0b11101 + 0o26), 14068 - 14060), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101101 + 0o4) + chr(0b110111), 338 - 330), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + '\062' + chr(2542 - 2487) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(56 - 5) + '\067' + chr(50), 20954 - 20946), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b100000 + 0o24) + chr(52), 3712 - 3704), ehT0Px3KOsy9('\x30' + chr(7052 - 6941) + '\061' + chr(52) + chr(1683 - 1629), 57921 - 57913), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(0b101001 + 0o11) + chr(0b10101 + 0o36) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b110011) + chr(0b110001) + '\064', 6722 - 6714), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(49) + chr(520 - 472), 0b1000), ehT0Px3KOsy9('\060' + chr(818 - 707) + '\x33' + chr(0b110010 + 0o4) + chr(0b100111 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + '\063' + chr(0b110011) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(2005 - 1957) + chr(2916 - 2805) + chr(50) + chr(0b101000 + 0o10) + chr(1077 - 1029), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010 + 0o2) + chr(1878 - 1830), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(0b101 + 0o55) + '\x35' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\064' + chr(1120 - 1066), 22944 - 22936), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1010 + 0o50) + chr(2378 - 2327) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(49) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(8801 - 8690) + '\x33' + chr(50) + chr(1309 - 1261), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111011 + 0o64) + chr(49) + chr(0b110000) + chr(0b101000 + 0o10), 0o10), ehT0Px3KOsy9(chr(449 - 401) + chr(0b1100100 + 0o13) + chr(51) + chr(1459 - 1411) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\065' + '\x36', 0b1000), ehT0Px3KOsy9(chr(1565 - 1517) + chr(0b110111 + 0o70) + '\061' + chr(53) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1001 + 0o50) + '\065' + chr(1558 - 1507), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b101111 + 0o7) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(51) + chr(0b101101 + 0o10) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(568 - 457) + '\062' + '\063' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(987 - 937) + chr(53) + '\067', 28958 - 28950), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101110 + 0o5) + '\067' + chr(654 - 606), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(48) + chr(48), 8), ehT0Px3KOsy9(chr(843 - 795) + chr(11625 - 11514) + chr(153 - 103) + chr(0b110001) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(54) + chr(0b110000 + 0o0), 8), ehT0Px3KOsy9('\x30' + chr(0b1000111 + 0o50) + chr(0b101101 + 0o10) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(8198 - 8087) + chr(0b100001 + 0o22) + '\064' + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b100100 + 0o113) + chr(49) + chr(54) + chr(2314 - 2260), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1558 - 1505) + '\x34', 8), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(48), 11251 - 11243), ehT0Px3KOsy9(chr(526 - 478) + chr(111) + chr(51) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b11110 + 0o25) + chr(0b10000 + 0o42), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b10111 + 0o130) + chr(0b110101) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd'), chr(3214 - 3114) + chr(0b1100101) + chr(99) + chr(0b1101111 + 0o0) + '\144' + chr(4535 - 4434))(chr(0b1011000 + 0o35) + chr(7547 - 7431) + chr(0b1100110) + chr(1814 - 1769) + chr(0b101110 + 0o12)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bJM7J1RtiX03(OeWW0F1dBPRQ, n4ljua2gi1Pr, lZ1GB4L2oMeG=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f`\xdc\x9b\xc89\xfe\xb8<\x95\xb0\xf4I\xc4\xc8\xc5\xb9\xb4'), '\144' + chr(9414 - 9313) + '\x63' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(117) + chr(0b10010 + 0o142) + chr(0b101101 + 0o71) + '\055' + chr(2921 - 2865))):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95n\xcd\x93\xc5\x04\xf3\xa9\x17\x83\xbd\xefP\xce'), chr(0b1001110 + 0o26) + chr(101) + chr(0b1100011) + chr(10598 - 10487) + chr(0b1010 + 0o132) + chr(101))('\x75' + chr(0b1110100) + chr(102) + chr(0b110 + 0o47) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f`\xdc\x9b\xc89\xad\xa8\x17\x83\xbb\xecF\xf4\xc7\xee\xff'), chr(8835 - 8735) + '\x65' + chr(99) + '\x6f' + '\144' + chr(101))(chr(0b1110101) + chr(116) + chr(0b11111 + 0o107) + '\x2d' + '\070')):
SqiSOtYOqOJH = WOnrfm4dlYcf.multihead_attention_2d(OeWW0F1dBPRQ, None, n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, attention_type=lZ1GB4L2oMeG, query_shape=n4ljua2gi1Pr.bOgwkN3Z_Ukr, memory_flange=n4ljua2gi1Pr.BpQobI3VuWq4, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x90j\xd3\x9c\xfb\x07\xeb\xb8-\x9e\xaa\xe9O\xc5'), '\x64' + '\145' + '\143' + chr(0b110001 + 0o76) + chr(3115 - 3015) + chr(0b1100101))('\165' + '\164' + chr(5373 - 5271) + '\055' + chr(56)))
return SqiSOtYOqOJH
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
local_within_block_attention
|
def local_within_block_attention(x,
self_attention_bias,
hparams,
attention_type="local_within_block_mask_right",
q_padding="VALID",
kv_padding="VALID"):
"""Local within block self attention."""
x_new, x_shape, is_4d = maybe_reshape_4d_to_3d(x)
with tf.variable_scope("local_within_block"):
y = common_attention.multihead_attention(
common_layers.layer_preprocess(x_new, hparams),
None,
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=attention_type,
block_width=hparams.block_width,
block_length=hparams.block_length,
q_padding=q_padding,
kv_padding=kv_padding,
q_filter_width=hparams.q_filter_width,
kv_filter_width=hparams.kv_filter_width,
name="local_within_block")
if is_4d:
y = tf.reshape(y, x_shape)
return y
|
python
|
def local_within_block_attention(x,
self_attention_bias,
hparams,
attention_type="local_within_block_mask_right",
q_padding="VALID",
kv_padding="VALID"):
"""Local within block self attention."""
x_new, x_shape, is_4d = maybe_reshape_4d_to_3d(x)
with tf.variable_scope("local_within_block"):
y = common_attention.multihead_attention(
common_layers.layer_preprocess(x_new, hparams),
None,
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=attention_type,
block_width=hparams.block_width,
block_length=hparams.block_length,
q_padding=q_padding,
kv_padding=kv_padding,
q_filter_width=hparams.q_filter_width,
kv_filter_width=hparams.kv_filter_width,
name="local_within_block")
if is_4d:
y = tf.reshape(y, x_shape)
return y
|
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] |
Local within block self attention.
|
[
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"self",
"attention",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L100-L128
|
train
|
Local within block self 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('\x30' + '\x6f' + chr(205 - 155) + '\063' + chr(0b101000 + 0o13), 0o10), ehT0Px3KOsy9(chr(48) + chr(4912 - 4801) + '\x35', 45079 - 45071), ehT0Px3KOsy9(chr(655 - 607) + chr(0b1011101 + 0o22) + chr(0b110010) + chr(1268 - 1213) + chr(336 - 288), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110100) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(2006 - 1957), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b110001 + 0o0) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9553 - 9442) + '\x33' + chr(50) + chr(48), 34601 - 34593), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(51) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1766 - 1718) + '\x6f' + chr(0b110001 + 0o0) + '\064' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1097 - 1049) + chr(4836 - 4725) + chr(0b1110 + 0o44) + chr(1191 - 1136) + chr(0b1011 + 0o45), 8), ehT0Px3KOsy9('\x30' + chr(8508 - 8397) + chr(481 - 427) + chr(0b100 + 0o63), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5732 - 5621) + chr(0b10011 + 0o40) + chr(51) + chr(1227 - 1177), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(713 - 602) + chr(1250 - 1201) + chr(0b110000) + chr(0b1110 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b110000) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b101001 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b110111 + 0o70) + '\x33' + chr(55) + chr(0b111 + 0o53), 0b1000), ehT0Px3KOsy9(chr(367 - 319) + '\157' + chr(865 - 812) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b111 + 0o150) + chr(0b100110 + 0o13) + chr(2463 - 2413) + chr(50), 0b1000), ehT0Px3KOsy9(chr(1907 - 1859) + chr(111) + chr(0b101 + 0o61) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8507 - 8396) + chr(431 - 378) + chr(0b11101 + 0o30), 8), ehT0Px3KOsy9(chr(648 - 600) + '\157' + '\x31' + chr(48) + chr(1628 - 1575), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(154 - 99) + chr(0b100010 + 0o17), 18163 - 18155), ehT0Px3KOsy9(chr(2260 - 2212) + '\157' + chr(0b110001) + '\x30' + chr(0b1111 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\067' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100110 + 0o15) + chr(0b110001) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b110001) + '\x35', 65364 - 65356), ehT0Px3KOsy9(chr(297 - 249) + '\157' + chr(0b110010) + chr(1194 - 1144) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1037 - 989) + chr(9915 - 9804) + chr(51) + '\061' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10010 + 0o37) + '\063' + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(0b10110 + 0o131) + chr(0b110011) + chr(258 - 207) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(4177 - 4066) + '\x31' + chr(0b100000 + 0o24), 22298 - 22290), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2175 - 2124) + chr(0b110001) + '\062', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(50) + '\062', 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(9000 - 8889) + '\062' + '\x33' + '\067', 52556 - 52548), ehT0Px3KOsy9(chr(0b110000) + chr(0b110111 + 0o70) + chr(0b110101) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000), 20493 - 20485), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(938 - 827) + chr(49) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110011 + 0o2) + chr(0b10 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(7479 - 7368) + '\x33' + '\061' + chr(2509 - 2457), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010010 + 0o35) + '\061' + chr(51) + '\x37', 33536 - 33528)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(1377 - 1266) + '\x35' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5'), chr(100) + '\145' + chr(99) + '\x6f' + '\x64' + '\x65')(chr(0b1101010 + 0o13) + chr(0b101001 + 0o113) + chr(0b1100110) + chr(0b0 + 0o55) + chr(2059 - 2003)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def HdOzr6vNtXIm(OeWW0F1dBPRQ, rsYpYnJ7N3P3, n4ljua2gi1Pr, lZ1GB4L2oMeG=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7j\xdb\x06m\xd5\xa7\xb2\x12\xd0^\xb4\x1e\xe1t\x95N9i@$J/a\xb8\xe4\xf3\xa3/'), chr(0b110111 + 0o55) + chr(0b100100 + 0o101) + '\x63' + '\x6f' + chr(0b1100100) + '\145')(chr(6464 - 6347) + '\x74' + chr(102) + chr(0b101101) + '\070'), lvmOA71tir9r=xafqLlk3kkUe(SXOLrMavuUCe(b'\xcdD\xf4.E'), '\144' + chr(0b110001 + 0o64) + chr(5028 - 4929) + chr(111) + '\144' + chr(5579 - 5478))('\x75' + '\x74' + chr(0b1100110) + chr(0b10000 + 0o35) + '\070'), Vm51G2bCyoNS=xafqLlk3kkUe(SXOLrMavuUCe(b'\xcdD\xf4.E'), '\x64' + chr(0b1100101) + chr(99) + chr(9799 - 9688) + chr(0b111111 + 0o45) + chr(0b1100101))('\x75' + '\x74' + chr(0b1100110) + chr(0b101101) + chr(1523 - 1467))):
(xjLRckKI4P_R, QQEXXbdZyz6m, vW0Ca8rmt_5n) = G4vbMfB6s2y3(OeWW0F1dBPRQ)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xedd\xca\x0e`\xe8\xbc\xbe9\xcbT\xb51\xe6'), chr(0b1100100) + '\x65' + chr(99) + chr(11604 - 11493) + chr(0b100111 + 0o75) + '\145')(chr(0b1100111 + 0o16) + chr(1981 - 1865) + '\146' + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7j\xdb\x06m\xd5\xa7\xb2\x12\xd0^\xb4\x1e\xe1t\x95N9'), chr(9999 - 9899) + chr(6504 - 6403) + chr(1552 - 1453) + chr(111) + '\144' + chr(0b1011000 + 0o15))(chr(0b111111 + 0o66) + chr(0b10100 + 0o140) + '\146' + chr(0b101101) + chr(0b110100 + 0o4))):
SqiSOtYOqOJH = WOnrfm4dlYcf.multihead_attention(jSKPaHwSAfVv.layer_preprocess(xjLRckKI4P_R, n4ljua2gi1Pr), None, rsYpYnJ7N3P3, n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, n4ljua2gi1Pr.RdMRr3qkYioQ, attention_type=lZ1GB4L2oMeG, block_width=n4ljua2gi1Pr.H_cF2TKAb4ed, block_length=n4ljua2gi1Pr.MMwtQ0bPonxt, q_padding=lvmOA71tir9r, kv_padding=Vm51G2bCyoNS, q_filter_width=n4ljua2gi1Pr.q_filter_width, kv_filter_width=n4ljua2gi1Pr.kv_filter_width, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7j\xdb\x06m\xd5\xa7\xb2\x12\xd0^\xb4\x1e\xe1t\x95N9'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(8456 - 8356) + '\x65')(chr(117) + '\x74' + '\x66' + chr(1418 - 1373) + chr(2166 - 2110)))
if vW0Ca8rmt_5n:
SqiSOtYOqOJH = IDJ2eXGCBCDu.reshape(SqiSOtYOqOJH, QQEXXbdZyz6m)
return SqiSOtYOqOJH
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
local_attention_1d
|
def local_attention_1d(x,
hparams,
attention_type="local_unmasked",
q_padding="VALID",
kv_padding="VALID"):
"""Local 1d self attention."""
# self-attention
x, x_shape, is_4d = maybe_reshape_4d_to_3d(x)
with tf.variable_scope("local_1d_self_att"):
y = common_attention.multihead_attention(
x,
None,
None,
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=attention_type,
shared_rel=hparams.shared_rel,
block_width=hparams.block_width,
block_length=hparams.block_length,
q_padding=q_padding,
kv_padding=kv_padding,
q_filter_width=hparams.q_filter_width,
kv_filter_width=hparams.kv_filter_width,
make_image_summary=False,
name="self_attention")
if is_4d:
y = tf.reshape(y, x_shape)
return y
|
python
|
def local_attention_1d(x,
hparams,
attention_type="local_unmasked",
q_padding="VALID",
kv_padding="VALID"):
"""Local 1d self attention."""
# self-attention
x, x_shape, is_4d = maybe_reshape_4d_to_3d(x)
with tf.variable_scope("local_1d_self_att"):
y = common_attention.multihead_attention(
x,
None,
None,
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=attention_type,
shared_rel=hparams.shared_rel,
block_width=hparams.block_width,
block_length=hparams.block_length,
q_padding=q_padding,
kv_padding=kv_padding,
q_filter_width=hparams.q_filter_width,
kv_filter_width=hparams.kv_filter_width,
make_image_summary=False,
name="self_attention")
if is_4d:
y = tf.reshape(y, x_shape)
return y
|
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",",
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"y"
] |
Local 1d self attention.
|
[
"Local",
"1d",
"self",
"attention",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L131-L161
|
train
|
Local 1d self 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('\060' + chr(8837 - 8726) + '\x32' + '\066' + '\060', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b110111 + 0o70) + '\x32' + '\060' + chr(49), 0b1000), ehT0Px3KOsy9(chr(2048 - 2000) + chr(0b1101111) + '\062' + '\062' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(1914 - 1865) + chr(0b110000), 28643 - 28635), ehT0Px3KOsy9(chr(805 - 757) + chr(111) + chr(0b110010) + '\x36' + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x32' + chr(0b11 + 0o61), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101011 + 0o10) + chr(53) + chr(0b0 + 0o66), 20121 - 20113), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(50) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101010 + 0o105) + '\062' + '\065' + chr(0b100010 + 0o16), 22655 - 22647), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11011 + 0o27) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + chr(119 - 69) + '\060' + '\x32', 64739 - 64731), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(10682 - 10571) + chr(0b10010 + 0o37) + '\060' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(0b110001) + chr(0b110101) + chr(51), 59857 - 59849), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b110010) + chr(0b11101 + 0o26), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11011 + 0o124) + chr(526 - 477) + chr(1903 - 1850) + chr(51), 8), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + '\x31' + chr(0b11010 + 0o30), 4059 - 4051), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b111 + 0o52) + chr(1785 - 1737) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + chr(1140 - 1087), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b110111) + chr(0b11011 + 0o31), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110111 + 0o70) + '\062' + '\064' + chr(0b11001 + 0o27), 26228 - 26220), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b111110 + 0o61) + chr(0b1100 + 0o46) + '\063' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1000 + 0o52) + chr(96 - 48) + chr(1394 - 1343), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101011 + 0o4) + chr(0b11110 + 0o27) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x32' + chr(733 - 683), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(2374 - 2321) + chr(0b110101 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7056 - 6945) + chr(0b110001) + '\061' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101110 + 0o3) + '\x35', 49657 - 49649), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(49) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2132 - 2080) + chr(0b1001 + 0o55), 29077 - 29069), ehT0Px3KOsy9(chr(1985 - 1937) + chr(9402 - 9291) + chr(55) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\066' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b11100 + 0o32) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(1003 - 892) + chr(0b1111 + 0o43) + chr(55) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(6988 - 6877) + chr(717 - 668) + chr(0b10111 + 0o32) + chr(53), 21948 - 21940), ehT0Px3KOsy9('\060' + chr(3653 - 3542) + chr(1962 - 1912), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b11001 + 0o126) + '\061' + '\x37' + chr(49), 1501 - 1493), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100111 + 0o12) + '\x35' + chr(55), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(52) + chr(48), 19888 - 19880)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(6217 - 6106) + chr(0b110101) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e'), '\144' + chr(0b1100101) + chr(99) + '\157' + chr(100) + chr(6177 - 6076))(chr(843 - 726) + chr(0b1110100) + chr(102) + '\x2d' + chr(2017 - 1961)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def dFQ9VqN4fyuw(OeWW0F1dBPRQ, n4ljua2gi1Pr, lZ1GB4L2oMeG=xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xee\xf7\xe9\xdf\x0b\x9b\xfb\xc5p\xf1)\x0e7'), chr(9756 - 9656) + '\145' + chr(0b11010 + 0o111) + '\x6f' + chr(100) + chr(0b1100101))(chr(0b1000111 + 0o56) + chr(0b1110100) + chr(0b1100110) + chr(649 - 604) + chr(56)), lvmOA71tir9r=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xc0\xd8\xc1\xf7'), '\x64' + chr(341 - 240) + chr(99) + '\x6f' + chr(100) + chr(7139 - 7038))(chr(117) + chr(6317 - 6201) + chr(0b11101 + 0o111) + chr(294 - 249) + '\x38'), Vm51G2bCyoNS=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xc0\xd8\xc1\xf7'), '\144' + chr(0b1100101) + chr(0b1000001 + 0o42) + chr(0b110101 + 0o72) + '\144' + chr(0b111111 + 0o46))('\x75' + chr(116) + chr(102) + chr(57 - 12) + '\x38')):
(OeWW0F1dBPRQ, QQEXXbdZyz6m, vW0Ca8rmt_5n) = G4vbMfB6s2y3(OeWW0F1dBPRQ)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xe0\xe6\xe1\xd26\x82\xf0\xf7b\xe1-\x1b6'), chr(9515 - 9415) + '\145' + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b111001 + 0o54))(chr(9293 - 9176) + '\x74' + '\x66' + chr(1087 - 1042) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xee\xf7\xe9\xdf\x0b\xdf\xf1\xf7b\xe7.\r\x0c\n~4'), chr(6090 - 5990) + '\145' + chr(0b1111 + 0o124) + '\157' + '\144' + chr(0b1010000 + 0o25))('\165' + chr(0b1110100) + chr(297 - 195) + '\055' + chr(56))):
SqiSOtYOqOJH = WOnrfm4dlYcf.multihead_attention(OeWW0F1dBPRQ, None, None, n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, n4ljua2gi1Pr.RdMRr3qkYioQ, attention_type=lZ1GB4L2oMeG, shared_rel=n4ljua2gi1Pr.PCprZFqm0QIL, block_width=n4ljua2gi1Pr.H_cF2TKAb4ed, block_length=n4ljua2gi1Pr.MMwtQ0bPonxt, q_padding=lvmOA71tir9r, kv_padding=Vm51G2bCyoNS, q_filter_width=n4ljua2gi1Pr.q_filter_width, kv_filter_width=n4ljua2gi1Pr.kv_filter_width, make_image_summary=ehT0Px3KOsy9('\x30' + '\157' + chr(782 - 734), 0o10), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\xe4\xf8\xee\xec5\x9a\xe1\xcd\x7f\xf6+\x04='), '\x64' + chr(0b1100100 + 0o1) + chr(99) + chr(2635 - 2524) + '\144' + chr(101))(chr(0b1110101) + chr(9654 - 9538) + chr(102) + chr(672 - 627) + chr(56)))
if vW0Ca8rmt_5n:
SqiSOtYOqOJH = IDJ2eXGCBCDu.reshape(SqiSOtYOqOJH, QQEXXbdZyz6m)
return SqiSOtYOqOJH
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
get_dilated_1d_attention_mask
|
def get_dilated_1d_attention_mask(
num_heads, block_size,
num_blocks, memory_size, gap_size,
name="dilated_mask"):
"""Dilated attention with a masking strategy."""
mask = np.ones((num_heads, block_size, 2*block_size), np.bool)
# now going over every row to do the right assignment of
# memory blocks
for i in range(block_size):
visible = 2*block_size - (block_size-i)
# You always attend to yourself, set the mask for that
mask[:, i, -(block_size - i)] = 0
# Maybe num_blocks can be automatically calculated?
for j in range(num_blocks):
for k in range(memory_size):
index = ((gap_size + memory_size)*j) + k
if index >= visible:
break
mask[:, i, -(index + block_size - i + 1)] = 0 # Verify
# adding a num blocks dimension
mask = np.expand_dims(mask, axis=1)
return tf.constant(mask, dtype=tf.int32, name=name)
|
python
|
def get_dilated_1d_attention_mask(
num_heads, block_size,
num_blocks, memory_size, gap_size,
name="dilated_mask"):
"""Dilated attention with a masking strategy."""
mask = np.ones((num_heads, block_size, 2*block_size), np.bool)
# now going over every row to do the right assignment of
# memory blocks
for i in range(block_size):
visible = 2*block_size - (block_size-i)
# You always attend to yourself, set the mask for that
mask[:, i, -(block_size - i)] = 0
# Maybe num_blocks can be automatically calculated?
for j in range(num_blocks):
for k in range(memory_size):
index = ((gap_size + memory_size)*j) + k
if index >= visible:
break
mask[:, i, -(index + block_size - i + 1)] = 0 # Verify
# adding a num blocks dimension
mask = np.expand_dims(mask, axis=1)
return tf.constant(mask, dtype=tf.int32, name=name)
|
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] |
Dilated attention with a masking strategy.
|
[
"Dilated",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L164-L187
|
train
|
Dilated attention with a masking strategy.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b110001) + '\066' + chr(1856 - 1806), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000011 + 0o54) + chr(0b110011) + '\x37' + '\065', 0o10), ehT0Px3KOsy9(chr(200 - 152) + chr(0b1101111) + '\066' + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(10583 - 10472) + chr(51) + '\x34' + chr(0b101000 + 0o10), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011111 + 0o20) + chr(0b110010) + chr(0b110001 + 0o5) + '\063', 19154 - 19146), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110010) + chr(589 - 538), ord("\x08")), ehT0Px3KOsy9(chr(1776 - 1728) + chr(0b1101000 + 0o7) + '\x35' + '\065', 26054 - 26046), ehT0Px3KOsy9(chr(806 - 758) + '\157' + '\x33' + chr(0b10110 + 0o32), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b111 + 0o56) + chr(863 - 810), 8), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\x34' + chr(2436 - 2383), 0o10), ehT0Px3KOsy9(chr(1791 - 1743) + '\x6f' + chr(812 - 761) + chr(0b1010 + 0o53) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\067', 49571 - 49563), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(53) + '\x30', 47427 - 47419), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b101111 + 0o3) + chr(55) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11011 + 0o27) + '\063' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + '\062' + '\064' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + chr(1720 - 1669) + '\x32' + chr(2910 - 2856), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + chr(414 - 363) + '\062' + '\062', 18309 - 18301), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + '\x33' + chr(0b110111) + chr(374 - 320), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\067' + chr(0b10100 + 0o43), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11010 + 0o125) + '\x33' + '\x30' + chr(0b1110 + 0o46), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1134 - 1085) + '\x34', 8), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(11604 - 11493) + '\065' + '\x30', 37499 - 37491), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(0b110010) + '\062' + '\x32', 57881 - 57873), ehT0Px3KOsy9('\060' + chr(0b1001000 + 0o47) + '\063' + chr(48) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100 + 0o153) + chr(0b1111 + 0o44) + chr(50) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100111 + 0o10) + chr(50) + chr(0b110010) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1100 + 0o46) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(48) + chr(0b11000 + 0o34), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(1364 - 1315), ord("\x08")), ehT0Px3KOsy9(chr(985 - 937) + chr(111) + chr(0b111 + 0o54) + '\064' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x36' + chr(55), 48809 - 48801), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b1011 + 0o46) + chr(1216 - 1163), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\x33' + '\066' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(48), 8), ehT0Px3KOsy9(chr(1434 - 1386) + chr(8093 - 7982) + '\x33' + chr(49), 62303 - 62295), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2076 - 2027) + chr(0b1000 + 0o50) + '\064', 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b11011 + 0o124) + chr(53) + chr(1197 - 1148), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\x31' + chr(0b10111 + 0o36) + chr(52), 39308 - 39300)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + '\x35' + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\\'), '\144' + '\145' + chr(5648 - 5549) + '\157' + '\144' + chr(0b111111 + 0o46))('\x75' + chr(9499 - 9383) + chr(5909 - 5807) + chr(0b101001 + 0o4) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def yqhoLffP4gE8(vRVqPOZ1hUG7, ajcFKMx19y9g, azOnMTJc4Vem, jaH8KfMZv9Nv, GI5dabVzUMZT, AIvJRzLdDfgF=xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\x94_m\x94\xd67ruL\x96\x85'), chr(3750 - 3650) + chr(101) + chr(0b1100011) + '\157' + chr(0b1001100 + 0o30) + '\145')(chr(117) + '\164' + '\146' + chr(0b100100 + 0o11) + chr(0b111000))):
Iz1jSgUKZDvt = WqUC3KWvYVup.ones((vRVqPOZ1hUG7, ajcFKMx19y9g, ehT0Px3KOsy9('\060' + chr(0b1100100 + 0o13) + chr(50), ord("\x08")) * ajcFKMx19y9g), WqUC3KWvYVup.bool)
for WVxHKyX45z_L in vQr8gNKaIaWE(ajcFKMx19y9g):
rQlAnJ2bvUKY = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062', 8) * ajcFKMx19y9g - (ajcFKMx19y9g - WVxHKyX45z_L)
Iz1jSgUKZDvt[:, WVxHKyX45z_L, -(ajcFKMx19y9g - WVxHKyX45z_L)] = ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x30', ord("\x08"))
for tlORBuYsiw3X in vQr8gNKaIaWE(azOnMTJc4Vem):
for OolUPRJhRaJd in vQr8gNKaIaWE(jaH8KfMZv9Nv):
XdowRbJKZWL9 = (GI5dabVzUMZT + jaH8KfMZv9Nv) * tlORBuYsiw3X + OolUPRJhRaJd
if XdowRbJKZWL9 >= rQlAnJ2bvUKY:
break
Iz1jSgUKZDvt[:, WVxHKyX45z_L, -(XdowRbJKZWL9 + ajcFKMx19y9g - WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(0b1111 + 0o42), 0b1000))] = ehT0Px3KOsy9(chr(1944 - 1896) + chr(2898 - 2787) + chr(503 - 455), 8)
Iz1jSgUKZDvt = WqUC3KWvYVup.expand_dims(Iz1jSgUKZDvt, axis=ehT0Px3KOsy9('\060' + '\157' + chr(0b110001), 8))
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11\x92]\x7f\x94\xd2=Y'), chr(3981 - 3881) + '\145' + chr(0b1100011) + chr(0b1001001 + 0o46) + chr(0b1011101 + 0o7) + chr(0b10 + 0o143))(chr(0b1100 + 0o151) + chr(0b101000 + 0o114) + '\146' + chr(45) + chr(0b101001 + 0o17)))(Iz1jSgUKZDvt, dtype=xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\x93G?\xd2'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1011011 + 0o11) + chr(101))(chr(0b1110101) + chr(12925 - 12809) + chr(0b1000110 + 0o40) + chr(1511 - 1466) + chr(56))), name=AIvJRzLdDfgF)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
dilated_attention_1d
|
def dilated_attention_1d(x,
hparams,
attention_type="masked_dilated_1d",
q_padding="VALID",
kv_padding="VALID",
gap_size=2):
"""Dilated 1d self attention."""
# self-attention
x, x_shape, is_4d = maybe_reshape_4d_to_3d(x)
with tf.variable_scope("masked_dilated_1d"):
y = common_attention.multihead_attention(
x,
None,
None,
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=attention_type,
block_width=hparams.block_width,
block_length=hparams.block_length,
q_padding=q_padding,
kv_padding=kv_padding,
q_filter_width=hparams.q_filter_width,
kv_filter_width=hparams.kv_filter_width,
gap_size=gap_size,
num_memory_blocks=hparams.num_memory_blocks,
name="self_attention")
if is_4d:
y = tf.reshape(y, x_shape)
y.set_shape([None, None, None, hparams.hidden_size])
return y
|
python
|
def dilated_attention_1d(x,
hparams,
attention_type="masked_dilated_1d",
q_padding="VALID",
kv_padding="VALID",
gap_size=2):
"""Dilated 1d self attention."""
# self-attention
x, x_shape, is_4d = maybe_reshape_4d_to_3d(x)
with tf.variable_scope("masked_dilated_1d"):
y = common_attention.multihead_attention(
x,
None,
None,
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=attention_type,
block_width=hparams.block_width,
block_length=hparams.block_length,
q_padding=q_padding,
kv_padding=kv_padding,
q_filter_width=hparams.q_filter_width,
kv_filter_width=hparams.kv_filter_width,
gap_size=gap_size,
num_memory_blocks=hparams.num_memory_blocks,
name="self_attention")
if is_4d:
y = tf.reshape(y, x_shape)
y.set_shape([None, None, None, hparams.hidden_size])
return y
|
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] |
Dilated 1d self attention.
|
[
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"attention",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L190-L222
|
train
|
Dilated 1d self - 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('\060' + '\157' + chr(50) + chr(0b1111 + 0o47) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1019 - 971) + chr(0b1101111) + chr(1779 - 1730) + chr(0b110010) + chr(1583 - 1532), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\064' + chr(0b10100 + 0o41), 11477 - 11469), ehT0Px3KOsy9('\060' + '\157' + chr(333 - 281) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b1111 + 0o46), 0o10), ehT0Px3KOsy9('\060' + chr(9518 - 9407) + chr(0b110001) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(427 - 378) + '\x33' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101111 + 0o4) + chr(1481 - 1430) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(546 - 498) + chr(7764 - 7653) + chr(1209 - 1160) + chr(1317 - 1267) + chr(0b11100 + 0o31), 7516 - 7508), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110111), 51524 - 51516), ehT0Px3KOsy9('\060' + chr(111) + chr(777 - 728) + '\x36' + chr(169 - 119), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5157 - 5046) + chr(1848 - 1798) + chr(54) + chr(0b1 + 0o61), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\067' + chr(0b110001), 36866 - 36858), ehT0Px3KOsy9(chr(730 - 682) + chr(4539 - 4428) + chr(782 - 733) + chr(0b100100 + 0o17) + chr(175 - 120), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + '\063' + '\062' + chr(0b10 + 0o64), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + '\x32' + '\x37', 1050 - 1042), ehT0Px3KOsy9(chr(0b110000) + chr(1460 - 1349) + chr(490 - 440) + chr(1521 - 1466) + chr(1789 - 1738), 0b1000), ehT0Px3KOsy9(chr(570 - 522) + chr(0b110101 + 0o72) + chr(0b101010 + 0o7) + chr(2276 - 2224) + '\x31', 0o10), ehT0Px3KOsy9(chr(1384 - 1336) + chr(0b1111 + 0o140) + chr(0b100011 + 0o16) + chr(55) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(2242 - 2190) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9661 - 9550) + chr(0b110010) + '\x31' + chr(0b110111), 39442 - 39434), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110010) + chr(0b1011 + 0o51), 0o10), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + chr(0b110010) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + '\x35' + chr(51), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\067' + chr(0b110101), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11 + 0o57) + '\067' + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(2579 - 2524) + chr(0b11 + 0o61), 9433 - 9425), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100010 + 0o20) + '\066', 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + '\x31' + chr(2466 - 2416) + chr(0b101100 + 0o4), 0b1000), ehT0Px3KOsy9(chr(1788 - 1740) + '\x6f' + chr(50) + chr(0b110001) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + '\061' + chr(0b110000 + 0o1) + chr(1723 - 1671), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(7455 - 7344) + chr(0b110011) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(1564 - 1515) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(1525 - 1477) + chr(0b1101111) + chr(0b101110 + 0o3) + chr(0b10011 + 0o35) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(917 - 806) + chr(51) + '\x33' + '\066', 8), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + '\061' + chr(0b10101 + 0o40), 8), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(572 - 523) + '\066' + chr(55), 0b1000), ehT0Px3KOsy9(chr(866 - 818) + chr(111) + chr(51) + '\063' + chr(591 - 543), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1192 - 1142) + chr(2187 - 2134) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\064', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(5174 - 5063) + chr(0b11 + 0o62) + chr(0b101 + 0o53), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x98'), '\x64' + chr(0b1100101) + chr(0b111111 + 0o44) + chr(0b1011010 + 0o25) + chr(1869 - 1769) + chr(0b1100101))('\165' + '\x74' + '\146' + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def f99fgrYjiPv7(OeWW0F1dBPRQ, n4ljua2gi1Pr, lZ1GB4L2oMeG=xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb2VHhm\x03\xba<k\x13\xc6\xdc;\x89&\xdf'), chr(0b110010 + 0o62) + '\145' + '\143' + '\157' + chr(0b1100100) + chr(8956 - 8855))(chr(0b1100100 + 0o21) + chr(0b1100100 + 0o20) + chr(0b111111 + 0o47) + '\x2d' + '\070'), lvmOA71tir9r=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\x12ijI'), chr(3560 - 3460) + chr(0b1100101) + chr(1056 - 957) + chr(10363 - 10252) + '\x64' + chr(101))(chr(4868 - 4751) + chr(0b1110100) + chr(0b1100110) + chr(0b100100 + 0o11) + chr(0b111000)), Vm51G2bCyoNS=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\x12ijI'), chr(6467 - 6367) + chr(0b1100101) + '\143' + chr(0b11011 + 0o124) + '\x64' + chr(101))('\x75' + chr(8616 - 8500) + '\x66' + chr(0b101101) + chr(56)), GI5dabVzUMZT=ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(880 - 830), ord("\x08"))):
(OeWW0F1dBPRQ, QQEXXbdZyz6m, vW0Ca8rmt_5n) = G4vbMfB6s2y3(OeWW0F1dBPRQ)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc02WJlk0\xbb\nt\x11\xdd\xc9:'), '\144' + chr(0b111101 + 0o50) + chr(6245 - 6146) + '\x6f' + '\144' + '\145')('\165' + chr(0b101 + 0o157) + chr(102) + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb2VHhm\x03\xba<k\x13\xc6\xdc;\x89&\xdf'), '\x64' + chr(0b10 + 0o143) + chr(5339 - 5240) + chr(0b1101111) + chr(3638 - 3538) + chr(101))(chr(117) + chr(0b1110100) + chr(3399 - 3297) + '\x2d' + chr(56))):
SqiSOtYOqOJH = WOnrfm4dlYcf.multihead_attention(OeWW0F1dBPRQ, None, None, n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, n4ljua2gi1Pr.RdMRr3qkYioQ, attention_type=lZ1GB4L2oMeG, block_width=n4ljua2gi1Pr.H_cF2TKAb4ed, block_length=n4ljua2gi1Pr.MMwtQ0bPonxt, q_padding=lvmOA71tir9r, kv_padding=Vm51G2bCyoNS, q_filter_width=n4ljua2gi1Pr.q_filter_width, kv_filter_width=n4ljua2gi1Pr.kv_filter_width, gap_size=GI5dabVzUMZT, num_memory_blocks=n4ljua2gi1Pr.num_memory_blocks, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc56IERh(\xaa0i\x06\xdb\xd61'), chr(0b1011 + 0o131) + chr(0b11110 + 0o107) + chr(99) + '\157' + chr(9650 - 9550) + '\145')(chr(0b1110101) + chr(116) + chr(0b1011001 + 0o15) + '\x2d' + chr(2700 - 2644)))
if vW0Ca8rmt_5n:
SqiSOtYOqOJH = IDJ2eXGCBCDu.reshape(SqiSOtYOqOJH, QQEXXbdZyz6m)
xafqLlk3kkUe(SqiSOtYOqOJH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc56Q|~a=\xae0'), '\x64' + '\145' + chr(0b101001 + 0o72) + '\x6f' + '\x64' + chr(1989 - 1888))(chr(9338 - 9221) + chr(12648 - 12532) + '\146' + chr(45) + chr(839 - 783)))([None, None, None, xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7)JZUGo\xb51o6\xfe'), chr(100) + chr(2195 - 2094) + chr(1653 - 1554) + '\157' + chr(0b1100100) + chr(0b10100 + 0o121))('\165' + chr(9030 - 8914) + '\146' + chr(667 - 622) + chr(1786 - 1730)))])
return SqiSOtYOqOJH
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
local_global_attention
|
def local_global_attention(x,
self_attention_bias,
hparams,
q_padding="LEFT",
kv_padding="LEFT"):
"""Local and global 1d self attention."""
with tf.variable_scope("self_local_global_att"):
[x_global, x_local] = tf.split(x, 2, axis=-1)
split_hidden_size = int(hparams.hidden_size / 2)
split_heads = int(hparams.num_heads / 2)
if self_attention_bias is not None:
self_attention_bias = get_self_attention_bias(x)
y_global = common_attention.multihead_attention(
x_global,
None,
self_attention_bias,
hparams.attention_key_channels or split_hidden_size,
hparams.attention_value_channels or split_hidden_size,
split_hidden_size,
split_heads,
hparams.attention_dropout,
q_filter_width=hparams.q_filter_width,
kv_filter_width=hparams.kv_filter_width,
q_padding=q_padding,
kv_padding=kv_padding,
name="global_self_att")
y_local = common_attention.multihead_attention(
x_local,
None,
None,
hparams.attention_key_channels or split_hidden_size,
hparams.attention_value_channels or split_hidden_size,
split_hidden_size,
split_heads,
hparams.attention_dropout,
attention_type="local_masked",
block_length=hparams.block_length,
block_width=hparams.block_width,
q_filter_width=hparams.q_filter_width,
kv_filter_width=hparams.kv_filter_width,
q_padding=q_padding,
kv_padding=kv_padding,
name="local_self_att")
y = tf.concat([y_global, y_local], axis=-1)
return y
|
python
|
def local_global_attention(x,
self_attention_bias,
hparams,
q_padding="LEFT",
kv_padding="LEFT"):
"""Local and global 1d self attention."""
with tf.variable_scope("self_local_global_att"):
[x_global, x_local] = tf.split(x, 2, axis=-1)
split_hidden_size = int(hparams.hidden_size / 2)
split_heads = int(hparams.num_heads / 2)
if self_attention_bias is not None:
self_attention_bias = get_self_attention_bias(x)
y_global = common_attention.multihead_attention(
x_global,
None,
self_attention_bias,
hparams.attention_key_channels or split_hidden_size,
hparams.attention_value_channels or split_hidden_size,
split_hidden_size,
split_heads,
hparams.attention_dropout,
q_filter_width=hparams.q_filter_width,
kv_filter_width=hparams.kv_filter_width,
q_padding=q_padding,
kv_padding=kv_padding,
name="global_self_att")
y_local = common_attention.multihead_attention(
x_local,
None,
None,
hparams.attention_key_channels or split_hidden_size,
hparams.attention_value_channels or split_hidden_size,
split_hidden_size,
split_heads,
hparams.attention_dropout,
attention_type="local_masked",
block_length=hparams.block_length,
block_width=hparams.block_width,
q_filter_width=hparams.q_filter_width,
kv_filter_width=hparams.kv_filter_width,
q_padding=q_padding,
kv_padding=kv_padding,
name="local_self_att")
y = tf.concat([y_global, y_local], axis=-1)
return y
|
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"]",
",",
"axis",
"=",
"-",
"1",
")",
"return",
"y"
] |
Local and global 1d self attention.
|
[
"Local",
"and",
"global",
"1d",
"self",
"attention",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L225-L269
|
train
|
Local 1d self attention.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b100001 + 0o23) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\x34' + chr(0b101111 + 0o10), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(54) + chr(0b11 + 0o55), 47799 - 47791), ehT0Px3KOsy9(chr(48) + chr(1347 - 1236) + chr(1632 - 1583) + chr(2249 - 2197) + chr(0b10110 + 0o37), 0b1000), ehT0Px3KOsy9(chr(1362 - 1314) + chr(111) + chr(208 - 159) + chr(0b110000) + '\x33', 39160 - 39152), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(1407 - 1359) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(356 - 308) + '\x6f' + chr(702 - 652) + '\x35' + chr(0b100 + 0o60), 0b1000), ehT0Px3KOsy9(chr(744 - 696) + chr(0b11111 + 0o120) + chr(0b10011 + 0o36) + '\060' + '\x33', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(962 - 908) + chr(53), 0b1000), ehT0Px3KOsy9(chr(1397 - 1349) + chr(0b1101111) + chr(52) + chr(0b110101 + 0o0), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b110110) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1643 - 1595) + chr(3384 - 3273) + chr(0b110010) + chr(50) + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\064' + chr(158 - 106), ord("\x08")), ehT0Px3KOsy9(chr(1044 - 996) + chr(0b1101111) + chr(2465 - 2411) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b110101 + 0o0) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(2835 - 2781) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10110 + 0o34) + '\x30' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(0b110001) + chr(52) + chr(0b100101 + 0o16), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(2599 - 2545) + chr(0b1 + 0o57), 39157 - 39149), ehT0Px3KOsy9(chr(1741 - 1693) + chr(0b1101111) + '\063' + chr(0b110101) + chr(0b100100 + 0o23), 0o10), ehT0Px3KOsy9(chr(1756 - 1708) + '\x6f' + chr(2201 - 2152) + '\x34' + chr(0b11100 + 0o26), 0o10), ehT0Px3KOsy9(chr(48) + chr(9175 - 9064) + chr(156 - 104) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(49) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11110 + 0o25) + '\061' + '\x37', 0b1000), ehT0Px3KOsy9(chr(1944 - 1896) + chr(111) + '\061' + chr(52) + '\x35', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b1101 + 0o46) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + '\063' + chr(1146 - 1098) + '\064', 7555 - 7547), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\x34' + chr(488 - 438), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\061' + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\x31' + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110100) + chr(0b1001 + 0o51), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\067' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + '\x37', 51826 - 51818), ehT0Px3KOsy9(chr(453 - 405) + '\157' + chr(51) + chr(760 - 709), 50751 - 50743), ehT0Px3KOsy9(chr(746 - 698) + chr(0b1101111) + chr(0b110010 + 0o1) + '\x32' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(55) + chr(0b10110 + 0o34), 26026 - 26018), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + '\x32' + chr(130 - 81) + chr(0b110111), 8743 - 8735), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + '\066' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1011011 + 0o24) + chr(51) + chr(50) + '\064', 40377 - 40369), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b110010) + chr(2092 - 2041), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + '\065' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'O'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1011100 + 0o23) + chr(100) + chr(10135 - 10034))(chr(0b11111 + 0o126) + chr(0b1100 + 0o150) + '\x66' + chr(0b10000 + 0o35) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jN2cedyZRKhS(OeWW0F1dBPRQ, rsYpYnJ7N3P3, n4ljua2gi1Pr, lvmOA71tir9r=xafqLlk3kkUe(SXOLrMavuUCe(b'-b61'), chr(0b1000111 + 0o35) + '\145' + '\x63' + chr(11326 - 11215) + chr(0b101001 + 0o73) + chr(101))(chr(117) + '\x74' + '\146' + chr(0b10001 + 0o34) + chr(0b111000)), Vm51G2bCyoNS=xafqLlk3kkUe(SXOLrMavuUCe(b'-b61'), '\144' + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(6818 - 6702) + chr(102) + chr(45) + chr(0b110 + 0o62))):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17F\x02\x0c"\xa3\xc0&\xaaV\xd6\xf9TV'), chr(100) + '\145' + chr(7447 - 7348) + chr(0b111 + 0o150) + chr(5472 - 5372) + chr(101))('\x75' + chr(116) + '\x66' + '\055' + chr(1009 - 953)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x12B\x1c\x03\x1c\xad\xc3 \x94I\xea\xf1H\\\xcd\x14\xec<\x91\x9b\x16'), '\x64' + chr(0b1100101) + '\x63' + chr(111) + chr(0b1100100) + chr(101))(chr(0b1100001 + 0o24) + '\164' + '\x66' + chr(0b101101) + '\x38')):
[xpHNoCC8gRQf, swu0K2gQ489N] = IDJ2eXGCBCDu.split(OeWW0F1dBPRQ, ehT0Px3KOsy9('\060' + chr(3981 - 3870) + chr(2226 - 2176), 60638 - 60630), axis=-ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 0b1000))
xmsdLLOhvNeE = ehT0Px3KOsy9(n4ljua2gi1Pr.qzoyXN3kdhDL / ehT0Px3KOsy9(chr(1704 - 1656) + chr(0b1101111) + '\x32', 8))
HMYoWmuQNlMf = ehT0Px3KOsy9(n4ljua2gi1Pr.vRVqPOZ1hUG7 / ehT0Px3KOsy9('\x30' + chr(0b1101000 + 0o7) + chr(0b101011 + 0o7), 8))
if rsYpYnJ7N3P3 is not None:
rsYpYnJ7N3P3 = A8UrhUkErtIY(OeWW0F1dBPRQ)
PHFm8oljyAce = WOnrfm4dlYcf.multihead_attention(xpHNoCC8gRQf, None, rsYpYnJ7N3P3, n4ljua2gi1Pr.Hj_JCZasfmqG or xmsdLLOhvNeE, n4ljua2gi1Pr.PZHUuenu09ti or xmsdLLOhvNeE, xmsdLLOhvNeE, HMYoWmuQNlMf, n4ljua2gi1Pr.RdMRr3qkYioQ, q_filter_width=n4ljua2gi1Pr.q_filter_width, kv_filter_width=n4ljua2gi1Pr.kv_filter_width, q_padding=lvmOA71tir9r, kv_padding=Vm51G2bCyoNS, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x06K\x1f\x07"\xad\xf30\x90I\xd3\xc9EG\xdb'), chr(0b1100001 + 0o3) + chr(0b1010110 + 0o17) + chr(0b1000101 + 0o36) + chr(0b1001101 + 0o42) + chr(0b1011001 + 0o13) + chr(5635 - 5534))('\x75' + chr(116) + chr(102) + '\055' + chr(2684 - 2628)))
LpjRNSjrg8a6 = WOnrfm4dlYcf.multihead_attention(swu0K2gQ489N, None, None, n4ljua2gi1Pr.Hj_JCZasfmqG or xmsdLLOhvNeE, n4ljua2gi1Pr.PZHUuenu09ti or xmsdLLOhvNeE, xmsdLLOhvNeE, HMYoWmuQNlMf, n4ljua2gi1Pr.RdMRr3qkYioQ, attention_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\rH\x13\x04/\x9e\xc1"\x86N\xd0\xf2'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(958 - 847) + '\144' + '\x65')(chr(292 - 175) + chr(8365 - 8249) + '\146' + chr(0b101101) + chr(56)), block_length=n4ljua2gi1Pr.MMwtQ0bPonxt, block_width=n4ljua2gi1Pr.H_cF2TKAb4ed, q_filter_width=n4ljua2gi1Pr.q_filter_width, kv_filter_width=n4ljua2gi1Pr.kv_filter_width, q_padding=lvmOA71tir9r, kv_padding=Vm51G2bCyoNS, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\rH\x13\x04/\x9e\xdf&\x99C\xea\xf7PG'), chr(0b1100100) + chr(101) + chr(9367 - 9268) + '\x6f' + chr(0b10100 + 0o120) + chr(0b111001 + 0o54))('\x75' + chr(0b1100110 + 0o16) + '\146' + '\x2d' + '\x38'))
SqiSOtYOqOJH = IDJ2eXGCBCDu.concat([PHFm8oljyAce, LpjRNSjrg8a6], axis=-ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + '\x31', 8))
return SqiSOtYOqOJH
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
full_self_attention
|
def full_self_attention(x,
self_attention_bias,
hparams,
q_padding="LEFT",
kv_padding="LEFT"):
"""Full self-attention layer."""
x, x_shape, is_4d = maybe_reshape_4d_to_3d(x)
if self_attention_bias is not None:
self_attention_bias = get_self_attention_bias(x)
with tf.variable_scope("self_att"):
y = common_attention.multihead_attention(
x,
None,
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,
q_filter_width=hparams.q_filter_width,
kv_filter_width=hparams.kv_filter_width,
q_padding=q_padding,
kv_padding=kv_padding,
name="self_att")
if is_4d:
y = tf.reshape(y, [x_shape[0], x_shape[1], x_shape[2], x_shape[3]])
y.set_shape([None, None, None, hparams.hidden_size])
return y
|
python
|
def full_self_attention(x,
self_attention_bias,
hparams,
q_padding="LEFT",
kv_padding="LEFT"):
"""Full self-attention layer."""
x, x_shape, is_4d = maybe_reshape_4d_to_3d(x)
if self_attention_bias is not None:
self_attention_bias = get_self_attention_bias(x)
with tf.variable_scope("self_att"):
y = common_attention.multihead_attention(
x,
None,
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,
q_filter_width=hparams.q_filter_width,
kv_filter_width=hparams.kv_filter_width,
q_padding=q_padding,
kv_padding=kv_padding,
name="self_att")
if is_4d:
y = tf.reshape(y, [x_shape[0], x_shape[1], x_shape[2], x_shape[3]])
y.set_shape([None, None, None, hparams.hidden_size])
return y
|
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"set_shape",
"(",
"[",
"None",
",",
"None",
",",
"None",
",",
"hparams",
".",
"hidden_size",
"]",
")",
"return",
"y"
] |
Full self-attention layer.
|
[
"Full",
"self",
"-",
"attention",
"layer",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L272-L299
|
train
|
Full self - attention layer.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1439 - 1391) + '\157' + '\x32' + chr(48) + chr(2019 - 1964), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(7472 - 7361) + chr(50) + chr(2633 - 2578) + chr(50), 51403 - 51395), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(51) + '\062' + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(5461 - 5350) + chr(0b110111) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\061' + '\x36', 41911 - 41903), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b101010 + 0o105) + chr(0b110001) + chr(0b10 + 0o62) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101101 + 0o2) + chr(0b10000 + 0o41) + chr(0b10011 + 0o36) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b110010) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1000 + 0o53) + chr(0b101000 + 0o10), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\x30' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\x32' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\067' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b100 + 0o54) + chr(2425 - 2375), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b1100 + 0o51) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(989 - 878) + chr(0b110001) + '\067' + '\x30', 0o10), ehT0Px3KOsy9(chr(580 - 532) + chr(566 - 455) + chr(940 - 891) + chr(0b110100) + chr(0b100001 + 0o21), 0o10), ehT0Px3KOsy9('\x30' + chr(814 - 703) + chr(1082 - 1031) + chr(0b110110) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(872 - 824) + chr(0b1101111) + chr(2120 - 2071) + '\x34' + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\067' + chr(0b10100 + 0o41), 56262 - 56254), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b110100) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(8166 - 8055) + chr(0b110001) + chr(1967 - 1915) + '\x37', 47288 - 47280), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110110) + chr(0b1011 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(196 - 148) + chr(0b110110 + 0o71) + chr(55) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b10111 + 0o130) + chr(0b110010) + chr(0b110101) + chr(0b101010 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(7047 - 6936) + '\061' + '\x31' + chr(51), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\064' + chr(2057 - 2004), 0o10), ehT0Px3KOsy9(chr(492 - 444) + chr(0b100001 + 0o116) + chr(0b110111) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(10507 - 10396) + chr(0b110010) + '\060' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(1437 - 1386) + '\x36', 62184 - 62176), ehT0Px3KOsy9(chr(306 - 258) + chr(111) + chr(0b110010) + '\062' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110011 + 0o74) + chr(0b110001) + '\060' + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(0b10100 + 0o36) + chr(0b100110 + 0o13), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x30' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\x34' + '\065', 14220 - 14212), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001 + 0o0) + chr(0b110000) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(2557 - 2502) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\065' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1000110 + 0o51) + chr(0b10101 + 0o35) + chr(1912 - 1857) + chr(0b100101 + 0o22), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b101 + 0o62) + chr(0b110100), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(0b110101) + chr(0b110000), 57087 - 57079)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + '\x64' + chr(4696 - 4595))(chr(117) + chr(0b1001111 + 0o45) + '\x66' + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def tNzw94bfM23X(OeWW0F1dBPRQ, rsYpYnJ7N3P3, n4ljua2gi1Pr, lvmOA71tir9r=xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\xff\x95l'), chr(3166 - 3066) + chr(0b100011 + 0o102) + '\x63' + chr(0b1101100 + 0o3) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(45) + '\x38'), Vm51G2bCyoNS=xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\xff\x95l'), chr(8701 - 8601) + chr(101) + chr(0b11101 + 0o106) + chr(0b110001 + 0o76) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b110010 + 0o6))):
(OeWW0F1dBPRQ, QQEXXbdZyz6m, vW0Ca8rmt_5n) = G4vbMfB6s2y3(OeWW0F1dBPRQ)
if rsYpYnJ7N3P3 is not None:
rsYpYnJ7N3P3 = A8UrhUkErtIY(OeWW0F1dBPRQ)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b"\xf1\xdb\xa1Q\xef\x06'\xb4G7\xf5P\xf2\x8f"), chr(0b11100 + 0o110) + chr(101) + '\143' + chr(0b11000 + 0o127) + '\144' + '\145')(chr(0b10111 + 0o136) + chr(0b1101011 + 0o11) + chr(5801 - 5699) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xdf\xbf^\xd1\x05?\xa5'), '\x64' + chr(101) + '\x63' + chr(0b11011 + 0o124) + '\144' + '\145')('\x75' + chr(116) + chr(4178 - 4076) + chr(0b11000 + 0o25) + '\x38')):
SqiSOtYOqOJH = WOnrfm4dlYcf.multihead_attention(OeWW0F1dBPRQ, None, rsYpYnJ7N3P3, n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, n4ljua2gi1Pr.RdMRr3qkYioQ, q_filter_width=n4ljua2gi1Pr.q_filter_width, kv_filter_width=n4ljua2gi1Pr.kv_filter_width, q_padding=lvmOA71tir9r, kv_padding=Vm51G2bCyoNS, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xdf\xbf^\xd1\x05?\xa5'), '\x64' + '\x65' + '\143' + '\x6f' + chr(0b1100100) + chr(8006 - 7905))(chr(522 - 405) + '\164' + '\146' + chr(0b101101) + '\070'))
if vW0Ca8rmt_5n:
SqiSOtYOqOJH = IDJ2eXGCBCDu.reshape(SqiSOtYOqOJH, [QQEXXbdZyz6m[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100000 + 0o20), 62846 - 62838)], QQEXXbdZyz6m[ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + chr(0b110001), 61303 - 61295)], QQEXXbdZyz6m[ehT0Px3KOsy9(chr(48) + '\157' + '\x32', 0o10)], QQEXXbdZyz6m[ehT0Px3KOsy9(chr(417 - 369) + chr(0b1101111) + chr(225 - 174), 0b1000)]])
xafqLlk3kkUe(SqiSOtYOqOJH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xdf\xa7g\xfd\x0c*\xa1}'), chr(100) + chr(101) + chr(0b101011 + 0o70) + chr(111) + chr(0b1100100) + chr(101))(chr(0b1110101) + '\x74' + '\x66' + chr(0b101101) + chr(56)))([None, None, None, xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xc0\xbcA\xd6*x\xba|,\xd2s'), '\x64' + chr(0b1100101) + '\x63' + chr(0b1100001 + 0o16) + chr(100) + chr(0b1100101))(chr(12954 - 12837) + chr(116) + chr(102) + chr(45) + chr(0b100110 + 0o22)))])
return SqiSOtYOqOJH
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
encdec_attention_1d
|
def encdec_attention_1d(x,
encoder_output,
encoder_decoder_attention_bias,
hparams):
"""Local 1d self attention."""
x, x_shape, is_4d = maybe_reshape_4d_to_3d(x)
encoder_output, _, _ = maybe_reshape_4d_to_3d(encoder_output)
with tf.variable_scope("encdec_attention"):
# Encoder Decoder attention
y = common_attention.multihead_attention(
x,
encoder_output,
encoder_decoder_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,
name="encdec_attention")
if is_4d:
y = tf.reshape(y, x_shape)
y.set_shape([None, None, None, hparams.hidden_size])
return y
|
python
|
def encdec_attention_1d(x,
encoder_output,
encoder_decoder_attention_bias,
hparams):
"""Local 1d self attention."""
x, x_shape, is_4d = maybe_reshape_4d_to_3d(x)
encoder_output, _, _ = maybe_reshape_4d_to_3d(encoder_output)
with tf.variable_scope("encdec_attention"):
# Encoder Decoder attention
y = common_attention.multihead_attention(
x,
encoder_output,
encoder_decoder_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,
name="encdec_attention")
if is_4d:
y = tf.reshape(y, x_shape)
y.set_shape([None, None, None, hparams.hidden_size])
return y
|
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"]",
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] |
Local 1d self attention.
|
[
"Local",
"1d",
"self",
"attention",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L302-L324
|
train
|
Local 1d self 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(48) + '\x6f' + '\063' + chr(1338 - 1288) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(48) + chr(1403 - 1353), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(469 - 420) + chr(48) + chr(53), 6502 - 6494), ehT0Px3KOsy9('\x30' + chr(2939 - 2828) + chr(0b101100 + 0o12) + '\060', 38828 - 38820), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + chr(49) + '\061', 64592 - 64584), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11100 + 0o30) + '\062', 0o10), ehT0Px3KOsy9(chr(2185 - 2137) + chr(0b10111 + 0o130) + '\x31' + chr(0b10 + 0o64) + chr(0b100100 + 0o14), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(51) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(0b110011) + chr(0b101101 + 0o12), 0b1000), ehT0Px3KOsy9('\060' + chr(2781 - 2670) + chr(0b10111 + 0o34) + chr(52) + chr(54), 1377 - 1369), ehT0Px3KOsy9(chr(1340 - 1292) + chr(0b10000 + 0o137) + chr(0b110011) + chr(0b110110) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(48) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(984 - 935) + chr(1731 - 1682) + chr(0b11111 + 0o26), 18847 - 18839), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(51) + '\x34', 1870 - 1862), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(1537 - 1486) + '\x32' + chr(0b101 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\x33' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(632 - 582) + chr(50) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + '\061' + chr(0b100000 + 0o21), 8), ehT0Px3KOsy9(chr(1342 - 1294) + '\157' + '\062' + '\x32' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + '\x33' + chr(85 - 34) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(49) + '\061' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\066' + chr(53), 50671 - 50663), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + '\x31' + '\061' + chr(48), 8), ehT0Px3KOsy9('\060' + chr(1783 - 1672) + chr(0b110001) + '\x30' + chr(55), 8), ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + '\x31' + '\066' + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(48) + chr(0b111 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(1066 - 1018) + chr(0b1011010 + 0o25) + chr(51) + '\x34' + chr(0b110100), 40426 - 40418), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(727 - 678) + chr(1484 - 1429) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(5632 - 5521) + '\x31' + chr(0b110110) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(2137 - 2089) + chr(0b11011 + 0o124) + chr(51) + chr(0b110110) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110110) + chr(2888 - 2833), 34641 - 34633), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b11 + 0o64) + '\060', 0o10), ehT0Px3KOsy9(chr(1017 - 969) + chr(6199 - 6088) + chr(50) + chr(0b110011 + 0o0) + chr(2384 - 2332), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b1011 + 0o53) + chr(0b110111), 22267 - 22259), ehT0Px3KOsy9(chr(1985 - 1937) + chr(0b1101111) + chr(1419 - 1369) + chr(49) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(55) + '\063', 0o10), ehT0Px3KOsy9(chr(198 - 150) + chr(3269 - 3158) + chr(1030 - 981) + '\x31' + chr(0b101110 + 0o2), 8), ehT0Px3KOsy9(chr(48) + chr(3996 - 3885) + chr(49) + chr(0b110110), 8), ehT0Px3KOsy9('\060' + chr(0b1010100 + 0o33) + chr(1617 - 1567) + '\062' + '\x34', 5098 - 5090)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + chr(0b110101) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa'), chr(0b11000 + 0o114) + '\145' + '\143' + chr(111) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b1010 + 0o56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def AhIzAdRrmK_O(OeWW0F1dBPRQ, NE_S2zAzN4PI, iuvkQfeRHfn5, n4ljua2gi1Pr):
(OeWW0F1dBPRQ, QQEXXbdZyz6m, vW0Ca8rmt_5n) = G4vbMfB6s2y3(OeWW0F1dBPRQ)
(NE_S2zAzN4PI, VNGQdHSFPrso, VNGQdHSFPrso) = G4vbMfB6s2y3(NE_S2zAzN4PI)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2o\xf0,QkN\x15\xc3l\x85\x9f7('), chr(0b1100100) + '\145' + '\143' + chr(111) + chr(0b110011 + 0o61) + '\x65')(chr(0b1011100 + 0o31) + chr(116) + '\146' + chr(45) + chr(100 - 44)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1`\xe1!Uj}\x11\xe8k\x83\x9e3$\xb3\xb9'), chr(100) + '\145' + chr(0b1001110 + 0o25) + chr(111) + chr(246 - 146) + chr(0b1100101))(chr(117) + chr(116) + chr(0b1100110) + '\x2d' + '\x38')):
SqiSOtYOqOJH = WOnrfm4dlYcf.multihead_attention(OeWW0F1dBPRQ, NE_S2zAzN4PI, iuvkQfeRHfn5, n4ljua2gi1Pr.Hj_JCZasfmqG or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.PZHUuenu09ti or n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.vRVqPOZ1hUG7, n4ljua2gi1Pr.RdMRr3qkYioQ, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1`\xe1!Uj}\x11\xe8k\x83\x9e3$\xb3\xb9'), chr(100) + chr(101) + chr(0b1100011) + '\x6f' + '\x64' + chr(9279 - 9178))(chr(4343 - 4226) + chr(6248 - 6132) + '\146' + '\x2d' + chr(0b111000)))
if vW0Ca8rmt_5n:
SqiSOtYOqOJH = IDJ2eXGCBCDu.reshape(SqiSOtYOqOJH, QQEXXbdZyz6m)
xafqLlk3kkUe(SqiSOtYOqOJH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7k\xf6\x1aCaC\x00\xf9'), '\144' + chr(0b100001 + 0o104) + chr(0b110011 + 0o60) + chr(3477 - 3366) + chr(0b1100100) + chr(5664 - 5563))(chr(117) + chr(13433 - 13317) + '\x66' + chr(45) + chr(0b111000)))([None, None, None, xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5t\xed<hG\x11\x1b\xf8w\xa2\xbc'), '\144' + chr(0b11000 + 0o115) + '\143' + chr(8745 - 8634) + '\144' + chr(101))(chr(0b1110101) + '\164' + chr(102) + '\055' + chr(0b111000)))])
return SqiSOtYOqOJH
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
transformer_decoder_layers
|
def transformer_decoder_layers(inputs,
encoder_output,
num_layers,
hparams,
self_attention_bias=None,
encoder_decoder_attention_bias=None,
attention_type=AttentionType.LOCAL_2D,
losses=None,
name="transformer"):
"""Multi layer transformer."""
x = inputs
x = tf.nn.dropout(x, 1.0 - hparams.layer_prepostprocess_dropout)
if attention_type == AttentionType.DILATED:
assert len(hparams.gap_sizes) == num_layers
for layer in range(num_layers):
with tf.variable_scope("%s_layer_%d" % (name, layer)):
# self-attention + skip connections
if attention_type == AttentionType.LOCAL_2D:
y = local_attention_2d(common_layers.layer_preprocess(x, hparams),
hparams,
attention_type="masked_local_attention_2d")
elif attention_type == AttentionType.LOCAL_1D:
y = local_attention_1d(common_layers.layer_preprocess(x, hparams),
hparams,
attention_type="local_mask_right",
q_padding="LEFT", kv_padding="LEFT")
elif attention_type == AttentionType.RELATIVE_LOCAL_1D:
y = local_attention_1d(
common_layers.layer_preprocess(x, hparams),
hparams,
attention_type="local_relative_mask_right",
q_padding="LEFT",
kv_padding="LEFT")
elif attention_type == AttentionType.NON_CAUSAL_1D:
y = local_attention_1d(common_layers.layer_preprocess(x, hparams),
hparams,
attention_type="local_unmasked",
q_padding="VALID", kv_padding="VALID")
elif attention_type == AttentionType.LOCAL_BLOCK:
y = local_within_block_attention(
common_layers.layer_preprocess(x, hparams),
self_attention_bias, hparams,
attention_type="local_within_block_mask_right",
q_padding="LEFT", kv_padding="LEFT")
elif attention_type == AttentionType.GLOCAL:
y = local_global_attention(common_layers.layer_preprocess(x, hparams),
self_attention_bias, hparams,
q_padding="LEFT", kv_padding="LEFT")
elif attention_type == AttentionType.DILATED:
y = dilated_attention_1d(common_layers.layer_preprocess(x, hparams),
hparams, q_padding="LEFT",
kv_padding="LEFT",
gap_size=hparams.gap_sizes[layer])
elif attention_type == AttentionType.GLOBAL:
y = full_self_attention(common_layers.layer_preprocess(x, hparams),
self_attention_bias, hparams,
q_padding="LEFT", kv_padding="LEFT")
x = common_layers.layer_postprocess(x, y, hparams)
# enc-dec attention + skip connections
if encoder_output is not None:
y = encdec_attention_1d(common_layers.layer_preprocess(x, hparams),
encoder_output,
encoder_decoder_attention_bias,
hparams)
x = common_layers.layer_postprocess(x, y, hparams)
# feed-fwd layers + skip connections
y = ffn_layer(common_layers.layer_preprocess(x, hparams), hparams,
losses=losses)
x = common_layers.layer_postprocess(x, y, hparams)
return common_layers.layer_preprocess(x, hparams)
|
python
|
def transformer_decoder_layers(inputs,
encoder_output,
num_layers,
hparams,
self_attention_bias=None,
encoder_decoder_attention_bias=None,
attention_type=AttentionType.LOCAL_2D,
losses=None,
name="transformer"):
"""Multi layer transformer."""
x = inputs
x = tf.nn.dropout(x, 1.0 - hparams.layer_prepostprocess_dropout)
if attention_type == AttentionType.DILATED:
assert len(hparams.gap_sizes) == num_layers
for layer in range(num_layers):
with tf.variable_scope("%s_layer_%d" % (name, layer)):
# self-attention + skip connections
if attention_type == AttentionType.LOCAL_2D:
y = local_attention_2d(common_layers.layer_preprocess(x, hparams),
hparams,
attention_type="masked_local_attention_2d")
elif attention_type == AttentionType.LOCAL_1D:
y = local_attention_1d(common_layers.layer_preprocess(x, hparams),
hparams,
attention_type="local_mask_right",
q_padding="LEFT", kv_padding="LEFT")
elif attention_type == AttentionType.RELATIVE_LOCAL_1D:
y = local_attention_1d(
common_layers.layer_preprocess(x, hparams),
hparams,
attention_type="local_relative_mask_right",
q_padding="LEFT",
kv_padding="LEFT")
elif attention_type == AttentionType.NON_CAUSAL_1D:
y = local_attention_1d(common_layers.layer_preprocess(x, hparams),
hparams,
attention_type="local_unmasked",
q_padding="VALID", kv_padding="VALID")
elif attention_type == AttentionType.LOCAL_BLOCK:
y = local_within_block_attention(
common_layers.layer_preprocess(x, hparams),
self_attention_bias, hparams,
attention_type="local_within_block_mask_right",
q_padding="LEFT", kv_padding="LEFT")
elif attention_type == AttentionType.GLOCAL:
y = local_global_attention(common_layers.layer_preprocess(x, hparams),
self_attention_bias, hparams,
q_padding="LEFT", kv_padding="LEFT")
elif attention_type == AttentionType.DILATED:
y = dilated_attention_1d(common_layers.layer_preprocess(x, hparams),
hparams, q_padding="LEFT",
kv_padding="LEFT",
gap_size=hparams.gap_sizes[layer])
elif attention_type == AttentionType.GLOBAL:
y = full_self_attention(common_layers.layer_preprocess(x, hparams),
self_attention_bias, hparams,
q_padding="LEFT", kv_padding="LEFT")
x = common_layers.layer_postprocess(x, y, hparams)
# enc-dec attention + skip connections
if encoder_output is not None:
y = encdec_attention_1d(common_layers.layer_preprocess(x, hparams),
encoder_output,
encoder_decoder_attention_bias,
hparams)
x = common_layers.layer_postprocess(x, y, hparams)
# feed-fwd layers + skip connections
y = ffn_layer(common_layers.layer_preprocess(x, hparams), hparams,
losses=losses)
x = common_layers.layer_postprocess(x, y, hparams)
return common_layers.layer_preprocess(x, hparams)
|
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] |
Multi layer transformer.
|
[
"Multi",
"layer",
"transformer",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L327-L396
|
train
|
Multi - layer 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(chr(1352 - 1304) + chr(0b1100101 + 0o12) + '\063' + chr(54) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + chr(0b110011) + chr(0b110010) + '\067', 0o10), ehT0Px3KOsy9(chr(1028 - 980) + '\x6f' + chr(0b101 + 0o54) + chr(204 - 154) + '\x33', 0o10), ehT0Px3KOsy9(chr(626 - 578) + chr(111) + '\063' + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(53) + chr(120 - 72), 0o10), ehT0Px3KOsy9(chr(622 - 574) + '\157' + chr(1073 - 1023) + chr(54) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b110110) + chr(0b1101 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(1861 - 1813) + chr(7452 - 7341) + chr(0b110011) + chr(0b10 + 0o63) + chr(366 - 312), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(50) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(1500 - 1448) + chr(0b110000), 54095 - 54087), ehT0Px3KOsy9(chr(1920 - 1872) + chr(7710 - 7599) + '\066' + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b101110 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x36' + chr(50), 3067 - 3059), ehT0Px3KOsy9('\x30' + chr(0b1001 + 0o146) + chr(0b110001) + '\063' + '\061', 0o10), ehT0Px3KOsy9(chr(967 - 919) + chr(10840 - 10729) + chr(0b110001) + chr(0b10010 + 0o37), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000 + 0o3) + chr(1091 - 1042) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b101001 + 0o15) + chr(0b110000), 8), ehT0Px3KOsy9(chr(235 - 187) + chr(0b10001 + 0o136) + chr(50) + chr(0b11101 + 0o31) + chr(0b100011 + 0o15), 30561 - 30553), ehT0Px3KOsy9('\060' + chr(0b11010 + 0o125) + chr(0b1111 + 0o43) + chr(54) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1910 - 1862) + '\157' + '\061' + chr(0b100101 + 0o13) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(101 - 53) + chr(0b1101111) + chr(0b100010 + 0o17) + '\x36' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\x31' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(268 - 220) + chr(0b1101100 + 0o3) + chr(0b110100) + chr(0b101110 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + '\x33' + '\060' + chr(1484 - 1436), 10824 - 10816), ehT0Px3KOsy9(chr(48) + chr(2271 - 2160) + chr(0b110011) + chr(1280 - 1228) + chr(0b110110), 29141 - 29133), ehT0Px3KOsy9(chr(0b110000) + chr(10586 - 10475) + '\x31' + '\x37' + chr(636 - 585), 28285 - 28277), ehT0Px3KOsy9(chr(48) + chr(214 - 103) + '\x32' + chr(0b110010) + chr(0b0 + 0o64), 0b1000), ehT0Px3KOsy9('\x30' + chr(8623 - 8512) + chr(1942 - 1891) + '\x32' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101 + 0o62), 26727 - 26719), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b1110 + 0o45) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b100011 + 0o17) + chr(0b110001 + 0o0), 62482 - 62474), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100001 + 0o22) + chr(457 - 408) + chr(54), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(1616 - 1566) + chr(55), 7730 - 7722), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b110011) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1330 - 1282) + chr(0b1101111) + chr(0b110010) + '\x31' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\065' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010 + 0o2) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(660 - 612) + chr(0b1101111) + chr(0b1110 + 0o45) + '\x33' + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b11100 + 0o31) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + '\063' + '\060' + chr(0b101110 + 0o4), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(11689 - 11578) + '\x35' + '\060', 46027 - 46019)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xde'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101 + 0o142) + chr(4121 - 4021) + '\x65')(chr(117) + chr(0b1110100) + '\146' + chr(1086 - 1041) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bOaFGVoTsREg(vXoupepMtCXU, NE_S2zAzN4PI, uftkTXJyNORO, n4ljua2gi1Pr, rsYpYnJ7N3P3=None, iuvkQfeRHfn5=None, lZ1GB4L2oMeG=xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x98\x10^$\xe8\x02\xaa'), '\x64' + '\x65' + chr(99) + chr(111) + chr(0b1100100) + '\x65')('\165' + '\x74' + '\146' + chr(0b11010 + 0o23) + chr(0b111000))), eJKWkHA7qzlZ=None, AIvJRzLdDfgF=xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\xa52q\x1b\xd1_\x9c\xf8\x05C'), chr(0b1100100) + '\145' + chr(2108 - 2009) + chr(1248 - 1137) + '\144' + chr(1498 - 1397))('\x75' + '\x74' + '\146' + '\x2d' + chr(56))):
OeWW0F1dBPRQ = vXoupepMtCXU
OeWW0F1dBPRQ = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(OeWW0F1dBPRQ, 1.0 - n4ljua2gi1Pr.RW_xSzp18UeS)
if lZ1GB4L2oMeG == xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\x9e\x1f^<\xf2t'), chr(100) + chr(2823 - 2722) + chr(0b110010 + 0o61) + chr(111) + chr(100) + '\x65')('\165' + chr(0b110 + 0o156) + '\x66' + chr(0b11011 + 0o22) + chr(0b111000))):
assert c2A0yzQpDQB3(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xb8\x11j7\x80i\xbd\xdb!w>'), chr(0b1100100) + '\145' + '\143' + chr(0b1001100 + 0o43) + chr(0b1100100) + '\145')(chr(0b11110 + 0o127) + chr(0b1110100) + '\146' + chr(0b101101) + chr(56)))) == uftkTXJyNORO
for wgamNHppspXj in vQr8gNKaIaWE(uftkTXJyNORO):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\xb6!v\t\xd5\\\x8b\xca\x13Rf\x02<'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(111) + chr(6402 - 6302) + chr(188 - 87))(chr(117) + chr(8847 - 8731) + chr(0b1100110) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\xa4\x0cs\t\xceU\x9c\xcaEU'), chr(7390 - 7290) + chr(0b1100101) + chr(99) + chr(0b111000 + 0o67) + '\x64' + chr(101))(chr(0b10101 + 0o140) + chr(116) + chr(9789 - 9687) + chr(45) + chr(1362 - 1306)) % (AIvJRzLdDfgF, wgamNHppspXj)):
if lZ1GB4L2oMeG == xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x98\x10^$\xe8\x02\xaa'), chr(344 - 244) + '\145' + '\x63' + '\157' + chr(0b1100100) + '\145')('\x75' + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b11010 + 0o36))):
SqiSOtYOqOJH = bJM7J1RtiX03(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), n4ljua2gi1Pr, attention_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\xb6 t\r\xd3o\x82\xfa\x03Pe-8}\xbc\x95\xde\xc5*\x1f\xa0y\xf2\x82'), chr(100) + '\x65' + '\143' + chr(111) + '\x64' + '\x65')('\165' + '\x74' + chr(0b1001100 + 0o32) + chr(0b101101) + '\070'))
elif lZ1GB4L2oMeG == xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x98\x10^$\xe8\x01\xaa'), '\x64' + chr(101) + '\x63' + chr(4409 - 4298) + '\x64' + chr(4389 - 4288))(chr(117) + '\x74' + chr(102) + '\x2d' + chr(0b111000))):
SqiSOtYOqOJH = dFQ9VqN4fyuw(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), n4ljua2gi1Pr, attention_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xb80~\x04\xe8]\x8f\xe6\x0bn{\x1b>a\xbc'), chr(0b101111 + 0o65) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(100) + '\145')(chr(117) + chr(0b1110100 + 0o0) + chr(1345 - 1243) + chr(45) + '\x38'), q_padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x92\x15K'), chr(0b10000 + 0o124) + chr(0b100000 + 0o105) + chr(99) + chr(0b0 + 0o157) + chr(3292 - 3192) + chr(101))(chr(5726 - 5609) + chr(8236 - 8120) + chr(102) + '\055' + chr(0b11101 + 0o33)), kv_padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x92\x15K'), '\x64' + '\x65' + chr(6520 - 6421) + chr(0b1101111) + chr(2224 - 2124) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b10 + 0o66)))
elif lZ1GB4L2oMeG == xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\x92\x1f^<\xfef\xab\xca,~J3\x15V\xf9\xb4'), '\x64' + '\x65' + '\x63' + '\x6f' + '\144' + chr(0b1100101))(chr(117) + chr(2940 - 2824) + '\146' + '\x2d' + chr(0b100001 + 0o27))):
SqiSOtYOqOJH = dFQ9VqN4fyuw(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), n4ljua2gi1Pr, attention_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xb80~\x04\xe8B\x8b\xf9\x01E`\x04<V\xa5\x91\xc3\xda\x1c\x02\xa7A\xa8\x92'), '\144' + '\x65' + chr(0b1011001 + 0o12) + '\157' + chr(0b100111 + 0o75) + chr(2676 - 2575))(chr(0b1110101) + chr(116) + chr(0b110 + 0o140) + chr(45) + chr(0b111000)), q_padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x92\x15K'), chr(0b1001111 + 0o25) + '\x65' + '\143' + '\157' + chr(100) + chr(0b10011 + 0o122))(chr(0b1110101) + '\x74' + chr(102) + chr(45) + chr(0b111000)), kv_padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x92\x15K'), chr(100) + chr(0b1100101) + chr(4435 - 4336) + '\x6f' + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(9511 - 9395) + chr(0b1100110) + chr(45) + '\070'))
elif lZ1GB4L2oMeG == xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\x98\x1d@+\xf6e\xbd\xd4,n86'), chr(0b1100100) + chr(101) + chr(3129 - 3030) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(117) + chr(116) + chr(5541 - 5439) + '\x2d' + '\x38')):
SqiSOtYOqOJH = dFQ9VqN4fyuw(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), n4ljua2gi1Pr, attention_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xb80~\x04\xe8E\x80\xf8\x01Bb\x17='), chr(7223 - 7123) + chr(0b110100 + 0o61) + chr(0b1100011) + '\x6f' + chr(0b100011 + 0o101) + chr(101))(chr(13215 - 13098) + chr(0b1110100) + '\146' + '\x2d' + chr(0b11 + 0o65)), q_padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\x96\x1fV,'), '\144' + '\x65' + chr(0b10000 + 0o123) + chr(0b10011 + 0o134) + chr(0b10110 + 0o116) + '\145')(chr(117) + '\x74' + chr(0b1110 + 0o130) + '\055' + chr(56)), kv_padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\x96\x1fV,'), '\144' + chr(0b1100101) + chr(0b0 + 0o143) + chr(111) + '\144' + chr(0b1100101))(chr(5576 - 5459) + '\164' + chr(0b1100110) + chr(1458 - 1413) + chr(2342 - 2286)))
elif lZ1GB4L2oMeG == xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x98\x10^$\xe8r\xa2\xda#z'), chr(4245 - 4145) + chr(6295 - 6194) + chr(0b1100011) + chr(111) + '\x64' + chr(0b1011010 + 0o13))('\x75' + chr(11142 - 11026) + chr(0b101110 + 0o70) + chr(0b101101) + chr(0b111000))):
SqiSOtYOqOJH = HdOzr6vNtXIm(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), rsYpYnJ7N3P3, n4ljua2gi1Pr, attention_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xb80~\x04\xe8G\x87\xe1\x08Xg-;e\xa7\x93\xdb\xee.\x11\xbdM\x9f\x94\x12\xf3\xbds'), chr(100) + '\x65' + chr(0b1100011) + '\157' + chr(0b1000101 + 0o37) + '\x65')('\x75' + chr(116) + chr(102) + chr(285 - 240) + '\x38'), q_padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x92\x15K'), chr(0b11010 + 0o112) + chr(101) + chr(0b100010 + 0o101) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\x75' + '\x74' + chr(102) + chr(1485 - 1440) + chr(0b11011 + 0o35)), kv_padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x92\x15K'), '\x64' + '\x65' + '\x63' + chr(111) + chr(100) + chr(0b100010 + 0o103))('\165' + chr(0b11111 + 0o125) + chr(9009 - 8907) + chr(0b101101) + chr(0b11001 + 0o37)))
elif lZ1GB4L2oMeG == xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\x9b\x1c\\)\xfb'), chr(7751 - 7651) + chr(101) + '\x63' + chr(0b1 + 0o156) + chr(4708 - 4608) + '\x65')(chr(1327 - 1210) + chr(0b1000100 + 0o60) + chr(8116 - 8014) + '\055' + '\x38')):
SqiSOtYOqOJH = jN2cedyZRKhS(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), rsYpYnJ7N3P3, n4ljua2gi1Pr, q_padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x92\x15K'), chr(0b1100100) + chr(101) + chr(0b110011 + 0o60) + '\x6f' + '\144' + chr(8920 - 8819))('\x75' + chr(0b101011 + 0o111) + chr(9033 - 8931) + chr(45) + chr(0b111000)), kv_padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x92\x15K'), '\144' + chr(897 - 796) + chr(99) + chr(4318 - 4207) + chr(0b1100100) + '\x65')(chr(0b11101 + 0o130) + chr(116) + '\x66' + '\055' + '\x38'))
elif lZ1GB4L2oMeG == xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\x9e\x1f^<\xf2t'), chr(0b1100100) + chr(8488 - 8387) + '\143' + '\x6f' + '\144' + chr(0b11010 + 0o113))(chr(0b1011011 + 0o32) + chr(11701 - 11585) + chr(0b1100110) + '\x2d' + '\x38')):
SqiSOtYOqOJH = f99fgrYjiPv7(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), n4ljua2gi1Pr, q_padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x92\x15K'), chr(0b111000 + 0o54) + '\x65' + '\143' + '\157' + '\144' + chr(0b1110 + 0o127))(chr(0b1000010 + 0o63) + '\x74' + chr(0b1011100 + 0o12) + '\055' + chr(56)), kv_padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x92\x15K'), '\144' + '\145' + chr(2340 - 2241) + '\x6f' + chr(220 - 120) + chr(0b1100001 + 0o4))(chr(0b1110101) + chr(3255 - 3139) + '\x66' + chr(45) + '\x38'), gap_size=n4ljua2gi1Pr.KoBu_7YSNAF7[wgamNHppspXj])
elif lZ1GB4L2oMeG == xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\x9b\x1c])\xfb'), chr(100) + '\145' + chr(99) + chr(4742 - 4631) + '\x64' + '\145')(chr(12197 - 12080) + chr(0b111011 + 0o71) + '\x66' + '\x2d' + chr(2544 - 2488))):
SqiSOtYOqOJH = tNzw94bfM23X(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), rsYpYnJ7N3P3, n4ljua2gi1Pr, q_padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x92\x15K'), '\x64' + chr(410 - 309) + '\143' + chr(8323 - 8212) + '\x64' + chr(0b1100101))('\165' + chr(116) + chr(102) + chr(0b101101) + chr(56)), kv_padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x92\x15K'), '\x64' + '\x65' + chr(0b1011000 + 0o13) + '\x6f' + chr(1914 - 1814) + chr(0b1100101))(chr(1616 - 1499) + '\x74' + chr(7482 - 7380) + '\055' + '\x38'))
OeWW0F1dBPRQ = jSKPaHwSAfVv.layer_postprocess(OeWW0F1dBPRQ, SqiSOtYOqOJH, n4ljua2gi1Pr)
if NE_S2zAzN4PI is not None:
SqiSOtYOqOJH = AhIzAdRrmK_O(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), NE_S2zAzN4PI, iuvkQfeRHfn5, n4ljua2gi1Pr)
OeWW0F1dBPRQ = jSKPaHwSAfVv.layer_postprocess(OeWW0F1dBPRQ, SqiSOtYOqOJH, n4ljua2gi1Pr)
SqiSOtYOqOJH = SH5PH2T7PEUB(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), n4ljua2gi1Pr, losses=eJKWkHA7qzlZ)
OeWW0F1dBPRQ = jSKPaHwSAfVv.layer_postprocess(OeWW0F1dBPRQ, SqiSOtYOqOJH, n4ljua2gi1Pr)
return xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xb6*z\x1a\xe8@\x9c\xf0\x10Cf\x11<z\xbb'), chr(100) + chr(101) + '\143' + chr(0b1101111) + chr(100) + chr(101))('\165' + chr(116) + chr(3308 - 3206) + chr(0b10011 + 0o32) + chr(0b111000)))(OeWW0F1dBPRQ, n4ljua2gi1Pr)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
transformer_encoder_layers
|
def transformer_encoder_layers(inputs,
num_layers,
hparams,
attention_type=AttentionType.GLOBAL,
self_attention_bias=None,
q_padding="VALID",
kv_padding="VALID",
name="transformer"):
"""Multi layer transformer encoder."""
x = inputs
x = tf.nn.dropout(x, 1.0 - hparams.layer_prepostprocess_dropout)
for layer in range(num_layers):
# attention layers + skip connections
with tf.variable_scope("%s_layer_%d" % (name, layer)):
if attention_type == AttentionType.LOCAL_2D:
y = local_attention_2d(common_layers.layer_preprocess(x, hparams),
hparams,
attention_type="local_attention_2d")
elif attention_type == AttentionType.LOCAL_1D:
y = local_attention_1d(common_layers.layer_preprocess(x, hparams),
hparams,
attention_type="local_unmasked",
q_padding=q_padding, kv_padding=kv_padding)
elif attention_type == AttentionType.GLOBAL:
y = full_self_attention(common_layers.layer_preprocess(x, hparams),
self_attention_bias, hparams,
q_padding=q_padding, kv_padding=kv_padding)
x = common_layers.layer_postprocess(x, y, hparams)
# feed-fwd layer + skip connections
y = ffn_layer(common_layers.layer_preprocess(x, hparams), hparams)
x = common_layers.layer_postprocess(x, y, hparams)
return common_layers.layer_preprocess(x, hparams)
|
python
|
def transformer_encoder_layers(inputs,
num_layers,
hparams,
attention_type=AttentionType.GLOBAL,
self_attention_bias=None,
q_padding="VALID",
kv_padding="VALID",
name="transformer"):
"""Multi layer transformer encoder."""
x = inputs
x = tf.nn.dropout(x, 1.0 - hparams.layer_prepostprocess_dropout)
for layer in range(num_layers):
# attention layers + skip connections
with tf.variable_scope("%s_layer_%d" % (name, layer)):
if attention_type == AttentionType.LOCAL_2D:
y = local_attention_2d(common_layers.layer_preprocess(x, hparams),
hparams,
attention_type="local_attention_2d")
elif attention_type == AttentionType.LOCAL_1D:
y = local_attention_1d(common_layers.layer_preprocess(x, hparams),
hparams,
attention_type="local_unmasked",
q_padding=q_padding, kv_padding=kv_padding)
elif attention_type == AttentionType.GLOBAL:
y = full_self_attention(common_layers.layer_preprocess(x, hparams),
self_attention_bias, hparams,
q_padding=q_padding, kv_padding=kv_padding)
x = common_layers.layer_postprocess(x, y, hparams)
# feed-fwd layer + skip connections
y = ffn_layer(common_layers.layer_preprocess(x, hparams), hparams)
x = common_layers.layer_postprocess(x, y, hparams)
return common_layers.layer_preprocess(x, hparams)
|
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] |
Multi layer transformer encoder.
|
[
"Multi",
"layer",
"transformer",
"encoder",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L399-L431
|
train
|
Multi - layer transformer encoder.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b110001) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b11010 + 0o35) + chr(0b101111 + 0o1), 36652 - 36644), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + '\062' + '\x36' + '\x37', 55733 - 55725), ehT0Px3KOsy9(chr(2174 - 2126) + chr(111) + '\x32' + '\067' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(52), 0o10), ehT0Px3KOsy9(chr(853 - 805) + chr(8047 - 7936) + chr(51) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101010 + 0o15) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(367 - 319) + chr(111) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\064' + '\x35', 0b1000), ehT0Px3KOsy9(chr(340 - 292) + '\x6f' + '\x36', 49742 - 49734), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110110) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(49) + '\x37', 16979 - 16971), ehT0Px3KOsy9('\x30' + chr(0b1000101 + 0o52) + chr(49) + chr(0b1110 + 0o51) + chr(51), 24995 - 24987), ehT0Px3KOsy9(chr(48) + chr(1182 - 1071) + '\x33' + chr(51) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(0b110011) + '\x36' + chr(0b110 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1368 - 1318) + '\x32' + chr(0b100000 + 0o22), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(907 - 853) + chr(0b11010 + 0o31), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b101010 + 0o7) + '\x37', 8), ehT0Px3KOsy9(chr(2118 - 2070) + chr(5705 - 5594) + chr(0b110010) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\063' + '\061', 0b1000), ehT0Px3KOsy9(chr(665 - 617) + chr(111) + '\063' + chr(0b101 + 0o55) + chr(0b100111 + 0o16), 0o10), ehT0Px3KOsy9(chr(192 - 144) + chr(4681 - 4570) + chr(54) + chr(0b10001 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(49) + chr(1820 - 1765) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5150 - 5039) + chr(294 - 246), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b10010 + 0o41) + '\061', 12640 - 12632), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(0b1000 + 0o55) + '\065', 44905 - 44897), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(2086 - 2037) + chr(585 - 535), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(49) + chr(0b1001 + 0o53) + '\061', 37240 - 37232), ehT0Px3KOsy9(chr(1961 - 1913) + '\x6f' + chr(0b10100 + 0o40) + chr(0b1000 + 0o57), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + '\x31' + '\x30' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\x34' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\x31' + chr(2340 - 2289), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(2058 - 2010) + '\063', 51174 - 51166), ehT0Px3KOsy9('\060' + chr(7492 - 7381) + '\067' + '\x37', 26169 - 26161), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1001 + 0o146) + '\x31' + '\x32' + chr(0b110011 + 0o4), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\065' + chr(51), 41955 - 41947), ehT0Px3KOsy9(chr(1701 - 1653) + '\157' + chr(0b110011) + '\x30' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1489 - 1440) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b110 + 0o151) + chr(846 - 794) + '\060', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + 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'\xe4'), chr(0b1100011 + 0o1) + chr(4249 - 4148) + chr(0b111010 + 0o51) + chr(111) + '\144' + chr(0b1100010 + 0o3))('\x75' + chr(4878 - 4762) + chr(102) + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def PofM1DAUddeR(vXoupepMtCXU, uftkTXJyNORO, n4ljua2gi1Pr, lZ1GB4L2oMeG=xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d4\xf8\xfdES'), chr(100) + chr(101) + chr(7520 - 7421) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1011110 + 0o27) + chr(116) + chr(0b1001001 + 0o35) + chr(1968 - 1923) + '\x38')), rsYpYnJ7N3P3=None, lvmOA71tir9r=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c9\xfb\xf6@'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1100101))('\165' + chr(0b101100 + 0o110) + '\146' + '\x2d' + '\x38'), Vm51G2bCyoNS=xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c9\xfb\xf6@'), chr(0b1100100) + chr(101) + chr(1576 - 1477) + '\157' + chr(100) + chr(0b1001111 + 0o26))('\165' + '\x74' + chr(0b1011000 + 0o16) + chr(0b101001 + 0o4) + chr(56)), AIvJRzLdDfgF=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\n\xd6\xd1wyVuHc\x04'), '\144' + chr(8793 - 8692) + chr(0b1100011) + chr(111) + '\144' + chr(101))(chr(6568 - 6451) + chr(11108 - 10992) + chr(0b1100110) + '\x2d' + '\070')):
OeWW0F1dBPRQ = vXoupepMtCXU
OeWW0F1dBPRQ = IDJ2eXGCBCDu.nn.ag0mwEgWzjYv(OeWW0F1dBPRQ, 1.0 - n4ljua2gi1Pr.RW_xSzp18UeS)
for wgamNHppspXj in vQr8gNKaIaWE(uftkTXJyNORO):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\x19\xc5\xd6e}Ubzu\x15 \x0b\xbc'), '\x64' + '\145' + '\143' + chr(0b111101 + 0o62) + '\x64' + chr(0b101001 + 0o74))('\165' + chr(0b1110010 + 0o2) + chr(0b1100110) + chr(0b101101) + chr(584 - 528)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\x0b\xe8\xd3ef\\uz#\x12'), chr(6734 - 6634) + '\145' + chr(99) + '\x6f' + chr(1177 - 1077) + chr(0b100110 + 0o77))(chr(0b1110101) + chr(4942 - 4826) + '\x66' + chr(0b101101 + 0o0) + '\x38') % (AIvJRzLdDfgF, wgamNHppspXj)):
if lZ1GB4L2oMeG == xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'\x867\xf4\xfeH@\x0bC'), chr(1339 - 1239) + chr(101) + '\143' + chr(111) + chr(5104 - 5004) + chr(0b1001110 + 0o27))(chr(0b1000111 + 0o56) + chr(678 - 562) + '\146' + '\x2d' + chr(0b111000))):
SqiSOtYOqOJH = bJM7J1RtiX03(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), n4ljua2gi1Pr, attention_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\x17\xd4\xdeh@XsQc\x18;\x12\xb6\x9e\xcdA+'), chr(0b1010000 + 0o24) + '\145' + chr(8269 - 8170) + chr(0b11110 + 0o121) + chr(6071 - 5971) + chr(0b1100101))('\165' + '\164' + chr(102) + chr(45) + chr(0b111000)))
elif lZ1GB4L2oMeG == xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'\x867\xf4\xfeH@\x08C'), chr(129 - 29) + chr(0b1000011 + 0o42) + chr(0b111000 + 0o53) + '\157' + '\x64' + chr(101))('\165' + chr(5417 - 5301) + '\x66' + chr(0b10000 + 0o35) + chr(2843 - 2787))):
SqiSOtYOqOJH = dFQ9VqN4fyuw(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), n4ljua2gi1Pr, attention_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\x17\xd4\xdeh@LiHg\x05$\x1e\xbd'), chr(2465 - 2365) + chr(101) + '\x63' + chr(111) + chr(0b10000 + 0o124) + '\x65')('\x75' + chr(116) + chr(102) + chr(45) + '\070'), q_padding=lvmOA71tir9r, kv_padding=Vm51G2bCyoNS)
elif lZ1GB4L2oMeG == xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d4\xf8\xfdES'), chr(0b1100100) + '\x65' + chr(99) + chr(5761 - 5650) + chr(0b1100100) + '\145')(chr(0b1000110 + 0o57) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000))):
SqiSOtYOqOJH = tNzw94bfM23X(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), rsYpYnJ7N3P3, n4ljua2gi1Pr, q_padding=lvmOA71tir9r, kv_padding=Vm51G2bCyoNS)
OeWW0F1dBPRQ = jSKPaHwSAfVv.layer_postprocess(OeWW0F1dBPRQ, SqiSOtYOqOJH, n4ljua2gi1Pr)
SqiSOtYOqOJH = SH5PH2T7PEUB(jSKPaHwSAfVv.layer_preprocess(OeWW0F1dBPRQ, n4ljua2gi1Pr), n4ljua2gi1Pr)
OeWW0F1dBPRQ = jSKPaHwSAfVv.layer_postprocess(OeWW0F1dBPRQ, SqiSOtYOqOJH, n4ljua2gi1Pr)
return xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\x19\xce\xdav@Iu@v\x04 \x18\xbc\x83\xe1'), chr(715 - 615) + chr(0b11001 + 0o114) + chr(0b1100011) + '\157' + '\144' + chr(101))(chr(4531 - 4414) + chr(0b1101000 + 0o14) + chr(102) + chr(0b100000 + 0o15) + chr(0b111000)))(OeWW0F1dBPRQ, n4ljua2gi1Pr)
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
ffn_layer
|
def ffn_layer(x, hparams, losses=None):
"""ffn layer transformer."""
with tf.variable_scope("ffn"):
if hparams.ffn_layer == "none":
return x
if hparams.ffn_layer == "conv_hidden_relu":
y = common_layers.dense_relu_dense(
x,
hparams.filter_size,
hparams.hidden_size,
dropout=hparams.relu_dropout)
elif hparams.ffn_layer == "normed_conv_hidden_relu":
y = common_layers.normed_conv_hidden_relu(
x,
hparams.norm_type,
hparams.layer_norm_epsilon,
hparams.filter_size,
hparams.hidden_size,
dropout=hparams.relu_dropout,
norm_name="convnorm")
elif hparams.ffn_layer == "self_attention_ffn":
x_shape = tf.shape(x)
x = tf.reshape(x, [x_shape[0], -1, hparams.hidden_size])
y = common_attention.ffn_self_attention_layer(
x, hparams.filter_size, hparams.hidden_size, hparams.num_parts,
hparams.attention_dropout, hparams.share_kv)
y = tf.reshape(y, x_shape)
elif hparams.ffn_layer == "local_moe_tpu":
overhead = (hparams.moe_overhead_train
if hparams.mode == tf.estimator.ModeKeys.TRAIN
else hparams.moe_overhead_eval)
x, x_shape, is_4d = maybe_reshape_4d_to_3d(x)
y, 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)
if is_4d:
y = tf.reshape(y, x_shape)
if losses is None:
raise ValueError(
"transformer_ffn_layer with type local_moe_tpu must pass in "
"a losses list")
losses.append(loss)
else:
assert hparams.ffn_layer == "glu_ffn"
y = common_layers.gated_linear_unit_layer(x)
return y
|
python
|
def ffn_layer(x, hparams, losses=None):
"""ffn layer transformer."""
with tf.variable_scope("ffn"):
if hparams.ffn_layer == "none":
return x
if hparams.ffn_layer == "conv_hidden_relu":
y = common_layers.dense_relu_dense(
x,
hparams.filter_size,
hparams.hidden_size,
dropout=hparams.relu_dropout)
elif hparams.ffn_layer == "normed_conv_hidden_relu":
y = common_layers.normed_conv_hidden_relu(
x,
hparams.norm_type,
hparams.layer_norm_epsilon,
hparams.filter_size,
hparams.hidden_size,
dropout=hparams.relu_dropout,
norm_name="convnorm")
elif hparams.ffn_layer == "self_attention_ffn":
x_shape = tf.shape(x)
x = tf.reshape(x, [x_shape[0], -1, hparams.hidden_size])
y = common_attention.ffn_self_attention_layer(
x, hparams.filter_size, hparams.hidden_size, hparams.num_parts,
hparams.attention_dropout, hparams.share_kv)
y = tf.reshape(y, x_shape)
elif hparams.ffn_layer == "local_moe_tpu":
overhead = (hparams.moe_overhead_train
if hparams.mode == tf.estimator.ModeKeys.TRAIN
else hparams.moe_overhead_eval)
x, x_shape, is_4d = maybe_reshape_4d_to_3d(x)
y, 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)
if is_4d:
y = tf.reshape(y, x_shape)
if losses is None:
raise ValueError(
"transformer_ffn_layer with type local_moe_tpu must pass in "
"a losses list")
losses.append(loss)
else:
assert hparams.ffn_layer == "glu_ffn"
y = common_layers.gated_linear_unit_layer(x)
return y
|
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] |
ffn layer transformer.
|
[
"ffn",
"layer",
"transformer",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L434-L481
|
train
|
FFN layer transformer.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(369 - 321) + chr(9656 - 9545) + '\x32' + '\065' + chr(2177 - 2126), 53427 - 53419), ehT0Px3KOsy9('\060' + chr(7500 - 7389) + chr(50) + chr(52) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\061' + '\065' + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\066' + chr(0b11 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(48) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + chr(2248 - 2198) + chr(903 - 851), 56933 - 56925), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110111) + '\x32', 56752 - 56744), ehT0Px3KOsy9('\060' + '\x6f' + chr(2022 - 1973) + '\x32' + chr(72 - 24), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + '\x31' + chr(49) + chr(0b100110 + 0o13), 23135 - 23127), ehT0Px3KOsy9('\x30' + chr(9495 - 9384) + '\062' + '\x35' + chr(2680 - 2625), 26187 - 26179), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(51) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110100) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1800 - 1747) + '\067', 0o10), ehT0Px3KOsy9(chr(1643 - 1595) + '\157' + chr(0b110100) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(478 - 367) + chr(0b1000 + 0o52) + chr(0b100100 + 0o20) + chr(49), 8869 - 8861), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b100001 + 0o25) + chr(52), 51050 - 51042), ehT0Px3KOsy9(chr(2138 - 2090) + '\x6f' + chr(0b11110 + 0o24) + '\062' + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(225 - 114) + chr(0b110111) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1775 - 1724) + chr(0b110011) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x30' + chr(2198 - 2145), 39839 - 39831), ehT0Px3KOsy9('\060' + '\157' + '\067' + chr(2635 - 2580), 8), ehT0Px3KOsy9(chr(2111 - 2063) + '\157' + chr(49) + chr(0b0 + 0o67) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11100 + 0o25) + chr(1601 - 1553) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + chr(1901 - 1852) + chr(55) + chr(0b110101), 8), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + '\063' + chr(0b110110) + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(527 - 477) + chr(0b110000 + 0o4) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(8857 - 8746) + '\x32' + '\x37' + chr(0b11110 + 0o26), 3932 - 3924), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\065' + chr(55), 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(2916 - 2805) + chr(51) + '\063' + chr(51), 17788 - 17780), ehT0Px3KOsy9('\x30' + chr(12057 - 11946) + '\063' + chr(0b110010) + chr(0b100011 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(256 - 208) + chr(0b110001 + 0o76) + chr(51), 36140 - 36132), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b110111) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2151 - 2102) + chr(0b10 + 0o57) + chr(0b101001 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(3173 - 3062) + chr(0b110001) + '\x37', 6037 - 6029), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + '\x31' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\061' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1110 + 0o141) + '\x32' + chr(0b10001 + 0o43) + chr(0b110000), 45868 - 45860), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(0b110001) + '\061' + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1351 - 1296) + chr(0b110000), 48180 - 48172)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1456 - 1408) + chr(0b1101111) + '\x35' + chr(1769 - 1721), 5297 - 5289)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x85'), chr(100) + chr(3099 - 2998) + chr(7796 - 7697) + chr(9543 - 9432) + chr(100) + chr(101))(chr(0b1110101) + '\164' + '\146' + chr(45) + chr(596 - 540)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def SH5PH2T7PEUB(OeWW0F1dBPRQ, n4ljua2gi1Pr, eJKWkHA7qzlZ=None):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\xc7\x1b\x98\xe5v\x165\x16\xdc\xfa\x8eqJ'), chr(0b1100100) + chr(101) + '\143' + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(10628 - 10512) + chr(102) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xc0\x07'), chr(0b10110 + 0o116) + chr(1843 - 1742) + chr(0b1100011) + '\157' + chr(3798 - 3698) + '\145')(chr(117) + '\164' + chr(102) + '\055' + chr(56))):
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xee\\\xa1\xcc&.g\x19\xea\xcc\xa3'), chr(100) + chr(1431 - 1330) + '\x63' + chr(1672 - 1561) + chr(3740 - 3640) + '\145')(chr(0b1110101) + chr(0b1011110 + 0o26) + chr(5661 - 5559) + '\055' + chr(0b110011 + 0o5))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xc9\x07\x94'), chr(0b1010101 + 0o17) + '\x65' + '\x63' + '\x6f' + '\x64' + chr(0b1100101))(chr(12526 - 12409) + '\164' + chr(296 - 194) + chr(0b101 + 0o50) + chr(0b111000)):
return OeWW0F1dBPRQ
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xee\\\xa1\xcc&.g\x19\xea\xcc\xa3'), chr(0b1100100) + '\145' + '\143' + '\157' + chr(100) + '\145')(chr(0b1101001 + 0o14) + chr(0b1101100 + 0o10) + chr(0b1001100 + 0o32) + chr(0b1110 + 0o37) + '\x38')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\xc9\x07\x87\xdb|\x134-\xca\xf7\xbesJI\xd4'), '\144' + chr(0b101101 + 0o70) + '\x63' + chr(111) + '\x64' + chr(101))('\x75' + chr(0b1110100) + '\146' + chr(45) + chr(0b111000)):
SqiSOtYOqOJH = jSKPaHwSAfVv.dense_relu_dense(OeWW0F1dBPRQ, n4ljua2gi1Pr.deybX8NJ0oEI, n4ljua2gi1Pr.qzoyXN3kdhDL, dropout=n4ljua2gi1Pr.PJc0PNdBnSag)
elif xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xee\\\xa1\xcc&.g\x19\xea\xcc\xa3'), chr(0b1100100) + '\145' + chr(8118 - 8019) + chr(0b1000101 + 0o52) + '\144' + '\x65')('\x75' + chr(9202 - 9086) + chr(0b1011100 + 0o12) + '\x2d' + chr(0b110001 + 0o7))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xc9\x1b\x9c\xe1p%3&\xc1\xef\xbeiFA\xc5\xd1\xff`\xad\xa0S\x08'), chr(8114 - 8014) + chr(0b101110 + 0o67) + chr(2203 - 2104) + '\157' + '\144' + '\145')(chr(0b1110101) + chr(9364 - 9248) + '\x66' + chr(1532 - 1487) + chr(1702 - 1646)):
SqiSOtYOqOJH = jSKPaHwSAfVv.normed_conv_hidden_relu(OeWW0F1dBPRQ, n4ljua2gi1Pr.LE5Fu6Tcl7nw, n4ljua2gi1Pr.layer_norm_epsilon, n4ljua2gi1Pr.deybX8NJ0oEI, n4ljua2gi1Pr.qzoyXN3kdhDL, dropout=n4ljua2gi1Pr.PJc0PNdBnSag, norm_name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\xc9\x07\x87\xea{\x08='), chr(100) + chr(101) + chr(4264 - 4165) + chr(0b1101111) + chr(4599 - 4499) + '\x65')(chr(0b1110101) + chr(116) + chr(102) + chr(0b101101) + chr(0b11001 + 0o37)))
elif xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xee\\\xa1\xcc&.g\x19\xea\xcc\xa3'), '\144' + chr(0b11001 + 0o114) + chr(99) + '\x6f' + chr(100) + chr(0b100010 + 0o103))('\165' + '\x74' + '\x66' + chr(45) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xc3\x05\x97\xdbu\x0e$,\xc1\xed\x88nAz\xc7\xd2\xff'), '\144' + chr(4303 - 4202) + '\x63' + chr(0b1101111) + '\144' + chr(5782 - 5681))('\165' + chr(0b1110100) + chr(180 - 78) + chr(45) + '\070'):
QQEXXbdZyz6m = IDJ2eXGCBCDu.nauYfLglTpcb(OeWW0F1dBPRQ)
OeWW0F1dBPRQ = IDJ2eXGCBCDu.reshape(OeWW0F1dBPRQ, [QQEXXbdZyz6m[ehT0Px3KOsy9(chr(1818 - 1770) + '\x6f' + '\x30', 14476 - 14468)], -ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1025 - 976), 8), n4ljua2gi1Pr.qzoyXN3kdhDL])
SqiSOtYOqOJH = WOnrfm4dlYcf.ffn_self_attention_layer(OeWW0F1dBPRQ, n4ljua2gi1Pr.deybX8NJ0oEI, n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.num_parts, n4ljua2gi1Pr.RdMRr3qkYioQ, n4ljua2gi1Pr.share_kv)
SqiSOtYOqOJH = IDJ2eXGCBCDu.reshape(SqiSOtYOqOJH, QQEXXbdZyz6m)
elif xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xee\\\xa1\xcc&.g\x19\xea\xcc\xa3'), chr(5087 - 4987) + '\x65' + chr(0b1100011) + '\x6f' + chr(0b1100 + 0o130) + chr(6383 - 6282))('\x75' + chr(116) + '\146' + chr(0b101101) + chr(1924 - 1868))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xc9\n\x90\xe8K\x17?,\xf0\xed\x91t'), chr(0b1100100) + chr(0b1000000 + 0o45) + chr(99) + chr(1243 - 1132) + '\144' + chr(6953 - 6852))(chr(117) + chr(0b1100010 + 0o22) + chr(982 - 880) + chr(45) + chr(0b100 + 0o64)):
DuxXqaFDM_wB = n4ljua2gi1Pr.moe_overhead_train if n4ljua2gi1Pr.mode == IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN else n4ljua2gi1Pr.moe_overhead_eval
(OeWW0F1dBPRQ, QQEXXbdZyz6m, vW0Ca8rmt_5n) = G4vbMfB6s2y3(OeWW0F1dBPRQ)
(SqiSOtYOqOJH, YpO0BcZ6fMsf) = mpdtyez0NuRm.local_moe_tpu(OeWW0F1dBPRQ, n4ljua2gi1Pr.deybX8NJ0oEI // ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + '\x32', 22467 - 22459), n4ljua2gi1Pr.qzoyXN3kdhDL, n4ljua2gi1Pr.r99iQzD4Y8i3, overhead=DuxXqaFDM_wB, loss_coef=n4ljua2gi1Pr.VMsZZrjA_RNt)
if vW0Ca8rmt_5n:
SqiSOtYOqOJH = IDJ2eXGCBCDu.reshape(SqiSOtYOqOJH, QQEXXbdZyz6m)
if eJKWkHA7qzlZ is None:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\xd4\x08\x9f\xf7r\x15"$\xca\xeb\xbegIK\xfe\xd8\xf0F\xba\xb7\x1f\n,\t\x99\x85\xc8\xd6\xab\xb3#\x17!l\xaf\xe2\xff W\xce\xf9\x1d\x81\xf14\x17%:\xdb\xb9\x91`\\V\x81\xdd\xff\x1f\xbe\xe5S\x126\x0e\x94\xd6\x9c\xc3\xb2\xa5w'), '\x64' + chr(101) + chr(3078 - 2979) + chr(111) + chr(2634 - 2534) + chr(101))(chr(0b1110101) + chr(1162 - 1046) + '\146' + chr(45) + chr(0b110111 + 0o1)))
xafqLlk3kkUe(eJKWkHA7qzlZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xd6\x19\x94\xeap'), '\144' + chr(8330 - 8229) + chr(99) + '\157' + '\x64' + chr(7195 - 7094))(chr(0b1110101) + chr(6618 - 6502) + '\146' + chr(0b1010 + 0o43) + chr(517 - 461)))(YpO0BcZ6fMsf)
else:
assert xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xee\\\xa1\xcc&.g\x19\xea\xcc\xa3'), chr(100) + chr(0b1000010 + 0o43) + chr(4030 - 3931) + chr(111) + chr(8582 - 8482) + chr(0b0 + 0o145))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(45) + '\x38')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xca\x1c\xae\xe2r\x14'), '\144' + '\x65' + chr(9057 - 8958) + '\x6f' + chr(100) + chr(0b1100101))('\165' + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000))
SqiSOtYOqOJH = jSKPaHwSAfVv.gated_linear_unit_layer(OeWW0F1dBPRQ)
return SqiSOtYOqOJH
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
get_self_attention_bias
|
def get_self_attention_bias(x):
"""Creates masked self attention bias.
Args:
x: A tensor of shape [batch, length, depth]
Returns:
self_attention_bias: A tensor of shape [length, length, 1]
"""
x_shape = common_layers.shape_list(x)
self_attention_bias = common_attention.attention_bias_lower_triangle(
x_shape[1])
return self_attention_bias
|
python
|
def get_self_attention_bias(x):
"""Creates masked self attention bias.
Args:
x: A tensor of shape [batch, length, depth]
Returns:
self_attention_bias: A tensor of shape [length, length, 1]
"""
x_shape = common_layers.shape_list(x)
self_attention_bias = common_attention.attention_bias_lower_triangle(
x_shape[1])
return self_attention_bias
|
[
"def",
"get_self_attention_bias",
"(",
"x",
")",
":",
"x_shape",
"=",
"common_layers",
".",
"shape_list",
"(",
"x",
")",
"self_attention_bias",
"=",
"common_attention",
".",
"attention_bias_lower_triangle",
"(",
"x_shape",
"[",
"1",
"]",
")",
"return",
"self_attention_bias"
] |
Creates masked self attention bias.
Args:
x: A tensor of shape [batch, length, depth]
Returns:
self_attention_bias: A tensor of shape [length, length, 1]
|
[
"Creates",
"masked",
"self",
"attention",
"bias",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L484-L497
|
train
|
Creates masked self attention bias.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(1794 - 1745) + chr(0b11 + 0o55), 28218 - 28210), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\x30' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1869 - 1820) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11011 + 0o124) + chr(0b100000 + 0o24) + chr(0b101011 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(450 - 402) + chr(111) + chr(2287 - 2236) + chr(49) + chr(0b110001 + 0o5), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x34' + chr(0b1000 + 0o51), 0b1000), ehT0Px3KOsy9(chr(2059 - 2011) + '\x6f' + '\063' + chr(0b100 + 0o57) + chr(0b11101 + 0o32), 0o10), ehT0Px3KOsy9(chr(1992 - 1944) + chr(0b1101111) + '\062' + chr(1348 - 1293) + chr(0b10111 + 0o33), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b1011 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\064' + chr(0b10101 + 0o36), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101011 + 0o10) + chr(2638 - 2583) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + '\061' + chr(0b110111), 8), ehT0Px3KOsy9(chr(48) + chr(0b100000 + 0o117) + '\062' + chr(0b11 + 0o56) + chr(1054 - 1006), 8), ehT0Px3KOsy9(chr(2253 - 2205) + chr(111) + chr(50) + chr(51) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + chr(50) + chr(52) + chr(0b1101 + 0o46), 8), ehT0Px3KOsy9('\060' + chr(5192 - 5081) + chr(0b110011) + '\063', 0o10), ehT0Px3KOsy9(chr(2280 - 2232) + chr(111) + chr(54) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\x37' + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(245 - 193) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11011 + 0o30) + '\061' + '\066', 8), ehT0Px3KOsy9('\x30' + chr(0b10111 + 0o130) + '\x32' + '\x34' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + '\063' + chr(54) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + '\x33' + '\x33' + chr(1166 - 1112), 0o10), ehT0Px3KOsy9(chr(1991 - 1943) + '\x6f' + chr(49) + chr(50) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1855 - 1807) + chr(0b1101111) + chr(0b110011) + '\061' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(990 - 936), 2751 - 2743), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + chr(49) + chr(0b110100) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b110000) + chr(0b110001 + 0o6), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\062' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(49) + '\x37' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1001101 + 0o42) + chr(0b110011) + '\x35' + chr(2561 - 2510), ord("\x08")), ehT0Px3KOsy9(chr(2011 - 1963) + chr(111) + chr(0b111 + 0o52) + '\063' + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1889 - 1839) + chr(349 - 296) + chr(1628 - 1573), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\x30' + chr(2774 - 2720), 32639 - 32631), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + '\061' + chr(1976 - 1926) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110101) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(2069 - 2019) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(12307 - 12196) + '\x31' + chr(0b110010) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b110110) + chr(0b10001 + 0o44), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b11100 + 0o123) + chr(0b110101) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6'), chr(100) + chr(6610 - 6509) + '\143' + chr(0b1001011 + 0o44) + '\144' + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(1770 - 1725) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def A8UrhUkErtIY(OeWW0F1dBPRQ):
QQEXXbdZyz6m = jSKPaHwSAfVv.shape_list(OeWW0F1dBPRQ)
rsYpYnJ7N3P3 = WOnrfm4dlYcf.attention_bias_lower_triangle(QQEXXbdZyz6m[ehT0Px3KOsy9(chr(944 - 896) + '\157' + '\061', 53392 - 53384)])
return rsYpYnJ7N3P3
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
postprocess_image
|
def postprocess_image(x, rows, cols, hparams):
"""Postprocessing after decoding.
Args:
x: Tensor of shape [batch, ...], where ... can be any rank such that the
number of elements in x is batch * rows * cols * hparams.hidden_size.
rows: Integer representing number of rows in a 2-D data point.
cols: Integer representing number of columns in a 2-D data point.
hparams: HParams set.
Returns:
Tensor of shape [batch, rows, cols, depth], where depth is
hparams.num_mixtures * 10 if hparams.likelihood is DMOL, otherwise 256. In
the special case of inference and block raster scan order, it is a Tensor
of shape [batch, num_blocks_rows, num_block_cols, block_length, block_width,
depth].
"""
batch = common_layers.shape_list(x)[0]
x = tf.reshape(x, [batch, rows, cols, hparams.hidden_size])
likelihood = getattr(hparams, "likelihood", DistributionType.CAT)
if likelihood == DistributionType.DMOL:
depth = hparams.num_mixtures * 10
targets = tf.layers.dense(x,
depth,
use_bias=False,
activation=None,
name="output_conv")
else:
depth = 256
targets = tf.layers.dense(x,
depth,
use_bias=True,
activation=None,
name="output_conv")
if (hparams.mode == tf.estimator.ModeKeys.PREDICT and
hparams.block_raster_scan):
y = targets
yshape = common_layers.shape_list(y)
block_length = hparams.query_shape[0]
block_width = hparams.query_shape[1]
# Break into block row wise.
y = tf.reshape(y,
[batch, yshape[1] // block_length, block_length,
yshape[2], depth])
yshape = common_layers.shape_list(y)
# Break into blocks width wise.
y_blocks = tf.reshape(y,
[batch, yshape[1], yshape[2],
yshape[3] // block_width, block_width, depth])
# Reshape targets as [batch, num_blocks_rows, num_block_cols, block_length,
# block_width, depth].
targets = tf.transpose(y_blocks, [0, 1, 3, 2, 4, 5])
return targets
|
python
|
def postprocess_image(x, rows, cols, hparams):
"""Postprocessing after decoding.
Args:
x: Tensor of shape [batch, ...], where ... can be any rank such that the
number of elements in x is batch * rows * cols * hparams.hidden_size.
rows: Integer representing number of rows in a 2-D data point.
cols: Integer representing number of columns in a 2-D data point.
hparams: HParams set.
Returns:
Tensor of shape [batch, rows, cols, depth], where depth is
hparams.num_mixtures * 10 if hparams.likelihood is DMOL, otherwise 256. In
the special case of inference and block raster scan order, it is a Tensor
of shape [batch, num_blocks_rows, num_block_cols, block_length, block_width,
depth].
"""
batch = common_layers.shape_list(x)[0]
x = tf.reshape(x, [batch, rows, cols, hparams.hidden_size])
likelihood = getattr(hparams, "likelihood", DistributionType.CAT)
if likelihood == DistributionType.DMOL:
depth = hparams.num_mixtures * 10
targets = tf.layers.dense(x,
depth,
use_bias=False,
activation=None,
name="output_conv")
else:
depth = 256
targets = tf.layers.dense(x,
depth,
use_bias=True,
activation=None,
name="output_conv")
if (hparams.mode == tf.estimator.ModeKeys.PREDICT and
hparams.block_raster_scan):
y = targets
yshape = common_layers.shape_list(y)
block_length = hparams.query_shape[0]
block_width = hparams.query_shape[1]
# Break into block row wise.
y = tf.reshape(y,
[batch, yshape[1] // block_length, block_length,
yshape[2], depth])
yshape = common_layers.shape_list(y)
# Break into blocks width wise.
y_blocks = tf.reshape(y,
[batch, yshape[1], yshape[2],
yshape[3] // block_width, block_width, depth])
# Reshape targets as [batch, num_blocks_rows, num_block_cols, block_length,
# block_width, depth].
targets = tf.transpose(y_blocks, [0, 1, 3, 2, 4, 5])
return targets
|
[
"def",
"postprocess_image",
"(",
"x",
",",
"rows",
",",
"cols",
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Postprocessing after decoding.
Args:
x: Tensor of shape [batch, ...], where ... can be any rank such that the
number of elements in x is batch * rows * cols * hparams.hidden_size.
rows: Integer representing number of rows in a 2-D data point.
cols: Integer representing number of columns in a 2-D data point.
hparams: HParams set.
Returns:
Tensor of shape [batch, rows, cols, depth], where depth is
hparams.num_mixtures * 10 if hparams.likelihood is DMOL, otherwise 256. In
the special case of inference and block raster scan order, it is a Tensor
of shape [batch, num_blocks_rows, num_block_cols, block_length, block_width,
depth].
|
[
"Postprocessing",
"after",
"decoding",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L500-L555
|
train
|
Postprocessing after decoding.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(1769 - 1718) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11888 - 11777) + '\x31' + chr(0b100010 + 0o22) + chr(693 - 638), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(55) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + '\063' + chr(0b110101) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(51) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9029 - 8918) + '\x31' + chr(0b110101) + chr(0b110001 + 0o1), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + chr(0b101010 + 0o10) + chr(0b110000) + chr(0b110001), 14305 - 14297), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1651 - 1602) + chr(1837 - 1782) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(2214 - 2166) + chr(3680 - 3569) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110101) + '\065', 0o10), ehT0Px3KOsy9(chr(1910 - 1862) + chr(111) + '\066' + chr(2628 - 2575), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(2172 - 2117) + '\x35', 0b1000), ehT0Px3KOsy9(chr(1052 - 1004) + chr(7394 - 7283) + '\061' + chr(0b110101) + '\067', 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(50) + chr(53) + chr(910 - 861), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(0b111 + 0o54) + chr(0b110110) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1110 + 0o45) + chr(52) + '\x31', 0o10), ehT0Px3KOsy9(chr(881 - 833) + '\x6f' + chr(1686 - 1633) + chr(2234 - 2184), 8532 - 8524), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + '\x31' + '\x35' + chr(0b10001 + 0o41), 8), ehT0Px3KOsy9('\060' + chr(0b1011011 + 0o24) + chr(49) + chr(0b100011 + 0o17) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1960 - 1912) + '\157' + chr(51) + chr(0b101100 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(520 - 409) + chr(0b110110) + chr(0b110 + 0o61), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + '\x31' + chr(517 - 468) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11 + 0o57) + chr(0b110110) + '\x33', 14514 - 14506), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + chr(0b110011) + '\060' + chr(0b1110 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11237 - 11126) + chr(0b110011) + '\x37' + chr(1611 - 1559), 13737 - 13729), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x34', 25787 - 25779), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\064' + chr(89 - 37), 18938 - 18930), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000000 + 0o57) + chr(1756 - 1706) + chr(0b101011 + 0o11) + chr(0b111 + 0o52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + chr(49) + '\061' + '\x30', 9135 - 9127), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(48) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1001 + 0o55) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101001 + 0o10) + '\x33' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(55), 142 - 134), ehT0Px3KOsy9(chr(89 - 41) + chr(0b111111 + 0o60) + '\061' + '\066' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\063' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(737 - 626) + chr(1222 - 1173) + '\x35' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(55) + chr(1735 - 1684), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(51) + chr(0b1001 + 0o52), 57895 - 57887), ehT0Px3KOsy9(chr(1526 - 1478) + chr(2184 - 2073) + chr(50) + '\063' + chr(49), 20894 - 20886), ehT0Px3KOsy9('\060' + chr(11779 - 11668) + chr(1483 - 1433) + chr(0b110010) + chr(1173 - 1122), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110101) + chr(1870 - 1822), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'3'), chr(100) + chr(0b1100101) + chr(1713 - 1614) + '\x6f' + chr(9051 - 8951) + '\145')('\x75' + '\164' + chr(102) + chr(0b101101) + chr(669 - 613)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Q33fD980rxRF(OeWW0F1dBPRQ, rAoIgjmAxUis, AIgvIWQd9onz, n4ljua2gi1Pr):
dNwAahu8tvoY = jSKPaHwSAfVv.shape_list(OeWW0F1dBPRQ)[ehT0Px3KOsy9(chr(48) + chr(111) + '\x30', 8)]
OeWW0F1dBPRQ = IDJ2eXGCBCDu.reshape(OeWW0F1dBPRQ, [dNwAahu8tvoY, rAoIgjmAxUis, AIgvIWQd9onz, n4ljua2gi1Pr.qzoyXN3kdhDL])
LcCIWJ2WYLVy = xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'q\x0eW\x8a\xf3\x03\xe9\x12o\x89'), chr(100) + chr(4137 - 4036) + '\143' + chr(111) + chr(0b1001010 + 0o32) + chr(0b1100101))('\165' + '\164' + chr(102) + '\x2d' + chr(59 - 3)), np91PbMBP2iO.CAT)
if LcCIWJ2WYLVy == xafqLlk3kkUe(np91PbMBP2iO, xafqLlk3kkUe(SXOLrMavuUCe(b'Y*s\xa3'), chr(0b11001 + 0o113) + '\x65' + chr(0b1100011) + chr(0b10011 + 0o134) + '\x64' + chr(8271 - 8170))(chr(324 - 207) + '\x74' + chr(0b1100110) + chr(45) + '\x38')):
UEys4_lSwsID = n4ljua2gi1Pr.num_mixtures * ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(10998 - 10887) + chr(49) + chr(0b100010 + 0o20), 0b1000)
xIEmRseySp3z = IDJ2eXGCBCDu.layers.dense(OeWW0F1dBPRQ, UEys4_lSwsID, use_bias=ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10011 + 0o35), 8), activation=None, name=xafqLlk3kkUe(SXOLrMavuUCe(b'r\x12H\x9f\xea\x1e\xde\x1eo\x83C'), chr(100) + chr(0b1001011 + 0o32) + chr(0b1010100 + 0o17) + chr(111) + chr(3227 - 3127) + chr(101))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b11101 + 0o20) + '\x38'))
else:
UEys4_lSwsID = ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10101 + 0o37) + chr(48) + '\060', ord("\x08"))
xIEmRseySp3z = IDJ2eXGCBCDu.layers.dense(OeWW0F1dBPRQ, UEys4_lSwsID, use_bias=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(747 - 698), 22465 - 22457), activation=None, name=xafqLlk3kkUe(SXOLrMavuUCe(b'r\x12H\x9f\xea\x1e\xde\x1eo\x83C'), '\x64' + '\145' + '\x63' + '\x6f' + '\x64' + '\x65')('\165' + '\164' + '\x66' + chr(0b11000 + 0o25) + '\x38'))
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'p\x08X\x8a'), chr(5185 - 5085) + chr(101) + '\143' + chr(8206 - 8095) + '\x64' + '\x65')(chr(117) + '\x74' + chr(0b1100110) + chr(0b100110 + 0o7) + chr(538 - 482))) == xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'M5y\xab\xd6)\xd5'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(386 - 286) + chr(0b100000 + 0o105))(chr(2444 - 2327) + chr(0b1110100) + chr(6433 - 6331) + chr(409 - 364) + chr(56))) and xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'j \x0b\xde\xfcY\xb9%L\xa1E\xf8'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + '\144' + '\x65')(chr(0b1100111 + 0o16) + '\x74' + chr(102) + chr(0b101101) + chr(0b111000))):
SqiSOtYOqOJH = xIEmRseySp3z
sHlvkOit6zEp = jSKPaHwSAfVv.shape_list(SqiSOtYOqOJH)
MMwtQ0bPonxt = n4ljua2gi1Pr.bOgwkN3Z_Ukr[ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(0b110000), 8)]
H_cF2TKAb4ed = n4ljua2gi1Pr.bOgwkN3Z_Ukr[ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + chr(0b110001), 8)]
SqiSOtYOqOJH = IDJ2eXGCBCDu.reshape(SqiSOtYOqOJH, [dNwAahu8tvoY, sHlvkOit6zEp[ehT0Px3KOsy9('\x30' + chr(0b100001 + 0o116) + chr(1412 - 1363), 8)] // MMwtQ0bPonxt, MMwtQ0bPonxt, sHlvkOit6zEp[ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062', 0b1000)], UEys4_lSwsID])
sHlvkOit6zEp = jSKPaHwSAfVv.shape_list(SqiSOtYOqOJH)
hcWN_mM22t4K = IDJ2eXGCBCDu.reshape(SqiSOtYOqOJH, [dNwAahu8tvoY, sHlvkOit6zEp[ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + '\061', 8)], sHlvkOit6zEp[ehT0Px3KOsy9('\x30' + '\157' + chr(0b101100 + 0o6), 8)], sHlvkOit6zEp[ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33', ord("\x08"))] // H_cF2TKAb4ed, H_cF2TKAb4ed, UEys4_lSwsID])
xIEmRseySp3z = IDJ2eXGCBCDu.transpose(hcWN_mM22t4K, [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001), 8), ehT0Px3KOsy9(chr(1655 - 1607) + chr(0b1001111 + 0o40) + '\x33', 8), ehT0Px3KOsy9('\060' + chr(4126 - 4015) + chr(0b1110 + 0o44), 8), ehT0Px3KOsy9(chr(731 - 683) + chr(5090 - 4979) + '\x34', 8), ehT0Px3KOsy9(chr(48) + chr(7081 - 6970) + chr(0b101001 + 0o14), 0o10)])
return xIEmRseySp3z
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
prepare_encoder
|
def prepare_encoder(inputs, hparams, attention_type="local_1d"):
"""Prepare encoder for images."""
x = prepare_image(inputs, hparams, name="enc_channels")
# Add position signals.
x = add_pos_signals(x, hparams, "enc_pos")
x_shape = common_layers.shape_list(x)
if attention_type == "local_1d":
x = tf.reshape(x, [x_shape[0], x_shape[1]*x_shape[2], hparams.hidden_size])
x.set_shape([None, None, hparams.hidden_size])
elif attention_type == "local_2d":
x.set_shape([None, None, None, hparams.hidden_size])
return x
|
python
|
def prepare_encoder(inputs, hparams, attention_type="local_1d"):
"""Prepare encoder for images."""
x = prepare_image(inputs, hparams, name="enc_channels")
# Add position signals.
x = add_pos_signals(x, hparams, "enc_pos")
x_shape = common_layers.shape_list(x)
if attention_type == "local_1d":
x = tf.reshape(x, [x_shape[0], x_shape[1]*x_shape[2], hparams.hidden_size])
x.set_shape([None, None, hparams.hidden_size])
elif attention_type == "local_2d":
x.set_shape([None, None, None, hparams.hidden_size])
return x
|
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] |
Prepare encoder for images.
|
[
"Prepare",
"encoder",
"for",
"images",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L558-L569
|
train
|
Prepare encoder for images.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1166 - 1118) + chr(0b1101111) + '\063' + '\064' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7006 - 6895) + chr(0b1011 + 0o47) + '\064' + chr(0b100110 + 0o16), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(1572 - 1519) + chr(752 - 704), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + chr(0b101010 + 0o14) + chr(0b110 + 0o52), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + '\x32' + chr(50) + '\060', 55928 - 55920), ehT0Px3KOsy9('\x30' + chr(3889 - 3778) + chr(50) + chr(52) + chr(0b110010 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + '\062' + '\060' + chr(0b10100 + 0o34), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(54) + '\065', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(1520 - 1470) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(4614 - 4503) + chr(49) + chr(0b1011 + 0o50) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b110100) + chr(0b100101 + 0o20), 7085 - 7077), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x37' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(50) + '\060' + chr(0b1111 + 0o43), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(905 - 855) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x33' + chr(503 - 448), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b110011) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\x37' + chr(1197 - 1149), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + chr(0b110001) + '\x33' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11424 - 11313) + '\062' + chr(53) + chr(1526 - 1477), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101101 + 0o5) + chr(0b110011) + '\060', 0b1000), ehT0Px3KOsy9(chr(983 - 935) + chr(10193 - 10082) + chr(934 - 880), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(5354 - 5243) + '\063' + '\x34' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b110010 + 0o75) + chr(0b1000 + 0o52) + '\063' + chr(2002 - 1951), 36956 - 36948), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\065' + '\x37', 59968 - 59960), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b101011 + 0o104) + '\x32' + chr(0b110110) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1883 - 1772) + chr(0b110011) + chr(0b110011) + chr(114 - 66), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\x37' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + '\x32' + chr(55) + chr(0b10100 + 0o41), 62353 - 62345), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\064' + chr(1817 - 1766), 42295 - 42287), ehT0Px3KOsy9(chr(1736 - 1688) + chr(0b10011 + 0o134) + '\061' + chr(0b110100) + chr(48), 59636 - 59628), ehT0Px3KOsy9(chr(2029 - 1981) + chr(11280 - 11169) + chr(1725 - 1676) + '\064' + '\060', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101010 + 0o11) + chr(1768 - 1717) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(963 - 915) + '\x6f' + chr(51) + '\061' + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(7286 - 7175) + '\x33' + chr(0b110000) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(426 - 315) + chr(0b110001) + chr(0b1001 + 0o47) + chr(1043 - 992), 4471 - 4463), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\066' + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(53) + chr(2188 - 2134), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1805 - 1754) + chr(54) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1001 + 0o51) + '\x31' + '\064', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\062', 18901 - 18893)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(826 - 778) + '\x6f' + chr(0b110101) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf'), chr(1645 - 1545) + chr(9640 - 9539) + chr(5166 - 5067) + '\157' + chr(0b1100100) + chr(0b1100101))('\165' + '\x74' + chr(0b11111 + 0o107) + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Z3fmMvtlcH0_(vXoupepMtCXU, n4ljua2gi1Pr, lZ1GB4L2oMeG=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\xcb\x0bQ\xfc\xfd\xb1Q'), '\144' + '\145' + chr(0b1000111 + 0o34) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(11985 - 11868) + chr(9639 - 9523) + '\146' + chr(45) + '\x38')):
OeWW0F1dBPRQ = YcIxtE84YScP(vXoupepMtCXU, n4ljua2gi1Pr, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\xca\x0bo\xf3\xca\xe1[;;\xc9K'), chr(100) + chr(4622 - 4521) + chr(99) + chr(0b1101111) + chr(0b1001 + 0o133) + chr(101))(chr(0b1010100 + 0o41) + chr(116) + '\146' + chr(0b101101) + chr(56)))
OeWW0F1dBPRQ = xW1cchoCywU8(OeWW0F1dBPRQ, n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\xca\x0bo\xe0\xcd\xf3'), chr(1305 - 1205) + '\145' + chr(99) + '\x6f' + '\144' + chr(0b1010000 + 0o25))(chr(117) + chr(0b1010 + 0o152) + chr(0b1100110) + chr(0b100011 + 0o12) + '\x38'))
QQEXXbdZyz6m = jSKPaHwSAfVv.shape_list(OeWW0F1dBPRQ)
if lZ1GB4L2oMeG == xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\xcb\x0bQ\xfc\xfd\xb1Q'), chr(1571 - 1471) + '\145' + chr(7046 - 6947) + chr(0b100010 + 0o115) + chr(1853 - 1753) + chr(0b111 + 0o136))(chr(0b1110101) + chr(0b10001 + 0o143) + '\x66' + '\x2d' + chr(2436 - 2380)):
OeWW0F1dBPRQ = IDJ2eXGCBCDu.reshape(OeWW0F1dBPRQ, [QQEXXbdZyz6m[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\060', 0o10)], QQEXXbdZyz6m[ehT0Px3KOsy9('\060' + '\x6f' + '\x31', 0b1000)] * QQEXXbdZyz6m[ehT0Px3KOsy9(chr(114 - 66) + chr(0b10001 + 0o136) + chr(0b110010), 8)], n4ljua2gi1Pr.qzoyXN3kdhDL])
xafqLlk3kkUe(OeWW0F1dBPRQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\xc1\x1co\xe3\xca\xe1E0'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(4713 - 4602) + chr(0b1011 + 0o131) + chr(0b10110 + 0o117))(chr(117) + '\164' + '\146' + chr(45) + '\x38'))([None, None, xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\xde\x07I\xc8\xec\xb3^16\xe1t'), chr(0b100010 + 0o102) + '\145' + chr(99) + chr(0b110001 + 0o76) + chr(100) + '\x65')('\165' + chr(0b1010111 + 0o35) + chr(102) + chr(45) + chr(2687 - 2631)))])
elif lZ1GB4L2oMeG == xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\xcb\x0bQ\xfc\xfd\xb2Q'), chr(100) + chr(0b1100101) + chr(99) + '\x6f' + chr(9697 - 9597) + chr(0b110100 + 0o61))(chr(0b110110 + 0o77) + '\164' + chr(0b100000 + 0o106) + '\055' + '\x38'):
xafqLlk3kkUe(OeWW0F1dBPRQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\xc1\x1co\xe3\xca\xe1E0'), chr(9503 - 9403) + '\x65' + chr(6072 - 5973) + chr(10086 - 9975) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38'))([None, None, None, xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\xde\x07I\xc8\xec\xb3^16\xe1t'), '\x64' + chr(0b1 + 0o144) + chr(2599 - 2500) + '\157' + chr(0b1100 + 0o130) + chr(0b1100101))(chr(1471 - 1354) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b101100 + 0o14)))])
return OeWW0F1dBPRQ
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
prepare_decoder
|
def prepare_decoder(targets, hparams):
"""Prepare decoder for images."""
targets_shape = common_layers.shape_list(targets)
channels = hparams.num_channels
curr_infer_length = None
# during training, images are [batch, IMG_LEN, IMG_LEN, 3].
# At inference, they are [batch, curr_infer_length, 1, 1]
if hparams.mode == tf.estimator.ModeKeys.PREDICT:
curr_infer_length = targets_shape[1]
if hparams.block_raster_scan:
assert hparams.img_len*channels % hparams.query_shape[1] == 0
assert hparams.img_len % hparams.query_shape[0] == 0
total_block_width = hparams.img_len*channels
# Decoding is in block raster scan order. We divide the image into
# hparams.query_shape blocks and then decode each block in raster scan.
# To make that compatible with our inference pipeline, pad the target so
# that rows is a multiple of query_shape and columns is a multiple of
# hparams.img_len*channels
curr_infer_length = targets_shape[1]
block_padding_factor = total_block_width * hparams.query_shape[0]
targets = tf.pad(targets, [
[0, 0], [0, -curr_infer_length % block_padding_factor],
[0, 0], [0, 0]])
num_blocks = total_block_width // hparams.query_shape[1]
# Reshape the image to represent blocks
target_blocks = tf.reshape(
targets, [targets_shape[0], -1, num_blocks, hparams.query_shape[0],
hparams.query_shape[1]])
# Transpose to read the image in 2D fashion.
targets = tf.transpose(target_blocks, [0, 1, 3, 2, 4])
else:
# add padding to make sure the size of targets is a multiple of img_height
# times number of channels. This is needed for positional encodings and
# for doing the RGB lookup.
padding_factor = channels * hparams.img_len
targets = tf.pad(targets, [
[0, 0], [0, -curr_infer_length % padding_factor], [0, 0], [0, 0]])
targets = tf.reshape(targets,
[targets_shape[0], -1, hparams.img_len, channels])
# Preprocess image
x = prepare_image(targets, hparams, name="dec_channels")
x_shape = common_layers.shape_list(x)
if (hparams.dec_attention_type == AttentionType.LOCAL_2D or
hparams.dec_attention_type == AttentionType.LOCAL_BLOCK):
x = common_attention.right_shift_blockwise(x, hparams.query_shape)
x = add_pos_signals(x, hparams, "dec_pos")
else:
# Add position signals
x = tf.reshape(x, [targets_shape[0],
x_shape[1]*x_shape[2], hparams.hidden_size])
x = common_layers.shift_right_3d(x)
x = tf.reshape(x, [targets_shape[0],
x_shape[1], x_shape[2], hparams.hidden_size])
x = add_pos_signals(x, hparams, "dec_pos")
x = common_layers.cast_like(x, targets)
return x, x_shape[1], x_shape[2]
|
python
|
def prepare_decoder(targets, hparams):
"""Prepare decoder for images."""
targets_shape = common_layers.shape_list(targets)
channels = hparams.num_channels
curr_infer_length = None
# during training, images are [batch, IMG_LEN, IMG_LEN, 3].
# At inference, they are [batch, curr_infer_length, 1, 1]
if hparams.mode == tf.estimator.ModeKeys.PREDICT:
curr_infer_length = targets_shape[1]
if hparams.block_raster_scan:
assert hparams.img_len*channels % hparams.query_shape[1] == 0
assert hparams.img_len % hparams.query_shape[0] == 0
total_block_width = hparams.img_len*channels
# Decoding is in block raster scan order. We divide the image into
# hparams.query_shape blocks and then decode each block in raster scan.
# To make that compatible with our inference pipeline, pad the target so
# that rows is a multiple of query_shape and columns is a multiple of
# hparams.img_len*channels
curr_infer_length = targets_shape[1]
block_padding_factor = total_block_width * hparams.query_shape[0]
targets = tf.pad(targets, [
[0, 0], [0, -curr_infer_length % block_padding_factor],
[0, 0], [0, 0]])
num_blocks = total_block_width // hparams.query_shape[1]
# Reshape the image to represent blocks
target_blocks = tf.reshape(
targets, [targets_shape[0], -1, num_blocks, hparams.query_shape[0],
hparams.query_shape[1]])
# Transpose to read the image in 2D fashion.
targets = tf.transpose(target_blocks, [0, 1, 3, 2, 4])
else:
# add padding to make sure the size of targets is a multiple of img_height
# times number of channels. This is needed for positional encodings and
# for doing the RGB lookup.
padding_factor = channels * hparams.img_len
targets = tf.pad(targets, [
[0, 0], [0, -curr_infer_length % padding_factor], [0, 0], [0, 0]])
targets = tf.reshape(targets,
[targets_shape[0], -1, hparams.img_len, channels])
# Preprocess image
x = prepare_image(targets, hparams, name="dec_channels")
x_shape = common_layers.shape_list(x)
if (hparams.dec_attention_type == AttentionType.LOCAL_2D or
hparams.dec_attention_type == AttentionType.LOCAL_BLOCK):
x = common_attention.right_shift_blockwise(x, hparams.query_shape)
x = add_pos_signals(x, hparams, "dec_pos")
else:
# Add position signals
x = tf.reshape(x, [targets_shape[0],
x_shape[1]*x_shape[2], hparams.hidden_size])
x = common_layers.shift_right_3d(x)
x = tf.reshape(x, [targets_shape[0],
x_shape[1], x_shape[2], hparams.hidden_size])
x = add_pos_signals(x, hparams, "dec_pos")
x = common_layers.cast_like(x, targets)
return x, x_shape[1], x_shape[2]
|
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] |
Prepare decoder for images.
|
[
"Prepare",
"decoder",
"for",
"images",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L572-L629
|
train
|
Prepare decoder for images.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(995 - 947) + '\x6f' + chr(49) + '\067' + chr(1364 - 1310), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1644 - 1533) + '\063' + '\060' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111 + 0o0) + chr(0b100011 + 0o23) + chr(55), 39528 - 39520), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b11001 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(0b110011) + chr(1695 - 1641) + chr(0b10111 + 0o34), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9816 - 9705) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(11472 - 11361) + '\x32' + chr(0b1110 + 0o43) + chr(812 - 758), 44212 - 44204), ehT0Px3KOsy9(chr(382 - 334) + chr(0b111111 + 0o60) + chr(49) + chr(52), 8), ehT0Px3KOsy9(chr(411 - 363) + chr(111) + chr(51) + chr(760 - 711) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(585 - 534) + chr(51) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1010100 + 0o33) + chr(541 - 491) + chr(567 - 516) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(10193 - 10082) + '\x33' + '\x35' + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100000 + 0o17) + chr(49) + '\x35' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9794 - 9683) + chr(0b110011) + '\063' + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b1000 + 0o53) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110100) + '\x34', 0b1000), ehT0Px3KOsy9(chr(529 - 481) + chr(3221 - 3110) + chr(0b10 + 0o60) + '\x30' + '\x37', 33473 - 33465), ehT0Px3KOsy9(chr(1687 - 1639) + '\x6f' + chr(0b110010) + chr(0b1100 + 0o52) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(808 - 760) + '\x6f' + '\061' + chr(1768 - 1714) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(52) + '\066', 0o10), ehT0Px3KOsy9(chr(2147 - 2099) + '\157' + chr(0b110001) + chr(0b100110 + 0o14) + chr(415 - 364), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b101111 + 0o10) + chr(52), 14476 - 14468), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + '\063' + chr(1444 - 1394) + chr(0b11110 + 0o22), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4955 - 4844) + chr(1048 - 997) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(5039 - 4928) + '\x33' + chr(0b10011 + 0o42) + '\x34', 60172 - 60164), ehT0Px3KOsy9('\x30' + chr(8937 - 8826) + chr(0b100110 + 0o14) + '\061' + chr(0b11111 + 0o30), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\063' + chr(1904 - 1850) + chr(50), 0b1000), ehT0Px3KOsy9(chr(700 - 652) + chr(3246 - 3135) + chr(1307 - 1257) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1110 + 0o43) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(974 - 863) + '\061' + '\x35' + chr(1416 - 1362), 25656 - 25648), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b10010 + 0o36) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\x31' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(431 - 383) + chr(111) + chr(0b100000 + 0o23) + chr(0b110011) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(1508 - 1460), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\x34' + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110000) + chr(5161 - 5050) + '\x31' + '\x36' + chr(66 - 18), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\067' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1534 - 1485) + chr(1395 - 1347) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(903 - 854) + chr(51) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\x33' + chr(51), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(3354 - 3243) + '\065' + chr(0b100100 + 0o14), 44927 - 44919)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'P'), '\144' + chr(0b1100101) + '\x63' + chr(0b101110 + 0o101) + chr(0b1100100) + chr(0b1000 + 0o135))('\x75' + chr(116) + chr(1070 - 968) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def iCBdhfh1k3CL(xIEmRseySp3z, n4ljua2gi1Pr):
qGCVeFvxIRjf = jSKPaHwSAfVv.shape_list(xIEmRseySp3z)
H2MQqAZeamNo = n4ljua2gi1Pr.X1ZpHSxyKbHn
gn2McajqydUP = None
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xacSi'), chr(9891 - 9791) + '\145' + '\x63' + chr(0b1001111 + 0o40) + chr(100) + '\x65')(chr(0b111110 + 0o67) + chr(116) + chr(0b1001110 + 0o30) + chr(45) + chr(1386 - 1330))) == xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'.\x91rH\xbaB\xda'), '\144' + '\145' + '\x63' + chr(2986 - 2875) + chr(100) + chr(7525 - 7424))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b111000))):
gn2McajqydUP = qGCVeFvxIRjf[ehT0Px3KOsy9('\x30' + chr(4833 - 4722) + chr(49), 8)]
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\t\x84\x00=\x902\xb6T\x81\x97\xeb\xab'), '\144' + '\145' + chr(0b111011 + 0o50) + chr(2352 - 2241) + chr(100) + chr(0b1100101))('\165' + '\x74' + '\x66' + chr(775 - 730) + '\070')):
assert xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12\xa2OH\xc4k\xf79\xb4\xec\xf0\xdf'), chr(0b100010 + 0o102) + '\145' + chr(4871 - 4772) + chr(0b111111 + 0o60) + chr(100) + chr(6178 - 6077))(chr(0b1110010 + 0o3) + chr(0b1100001 + 0o23) + chr(1561 - 1459) + '\x2d' + chr(0b111000))) * H2MQqAZeamNo % xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\x8cP{\x98O\xbdV\x92\x8e\xf0\x9c'), chr(3342 - 3242) + chr(101) + chr(678 - 579) + chr(0b1100001 + 0o16) + chr(0b1100100) + '\145')('\165' + chr(116) + chr(0b101101 + 0o71) + chr(0b100010 + 0o13) + chr(56)))[ehT0Px3KOsy9(chr(145 - 97) + '\157' + chr(49), 8)] == ehT0Px3KOsy9('\060' + '\157' + chr(518 - 470), 0b1000)
assert xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12\xa2OH\xc4k\xf79\xb4\xec\xf0\xdf'), chr(0b111011 + 0o51) + chr(816 - 715) + '\143' + '\157' + chr(100) + '\x65')('\x75' + '\164' + '\x66' + chr(0b0 + 0o55) + chr(0b111000))) % xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\x8cP{\x98O\xbdV\x92\x8e\xf0\x9c'), chr(100) + chr(9367 - 9266) + '\143' + chr(6461 - 6350) + '\144' + chr(101))(chr(4344 - 4227) + '\x74' + chr(102) + '\x2d' + '\070'))[ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + chr(48), 8)] == ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000), 8)
FSShF2geftwU = n4ljua2gi1Pr.laxD7jy5y7k1 * H2MQqAZeamNo
gn2McajqydUP = qGCVeFvxIRjf[ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(6468 - 6357) + '\061', 8)]
FAbt9m8JNJXW = FSShF2geftwU * n4ljua2gi1Pr.bOgwkN3Z_Ukr[ehT0Px3KOsy9('\x30' + '\x6f' + '\x30', 8)]
xIEmRseySp3z = IDJ2eXGCBCDu.pad(xIEmRseySp3z, [[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(48), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), 8)], [ehT0Px3KOsy9(chr(1172 - 1124) + '\157' + chr(2266 - 2218), 8), -gn2McajqydUP % FAbt9m8JNJXW], [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + chr(3904 - 3793) + chr(0b110000), 8)], [ehT0Px3KOsy9(chr(48) + chr(1610 - 1499) + '\060', 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 8)]])
azOnMTJc4Vem = FSShF2geftwU // n4ljua2gi1Pr.bOgwkN3Z_Ukr[ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1011011 + 0o24) + chr(49), 8)]
g1YG0Bn3Plix = IDJ2eXGCBCDu.reshape(xIEmRseySp3z, [qGCVeFvxIRjf[ehT0Px3KOsy9('\x30' + '\x6f' + '\060', 8)], -ehT0Px3KOsy9('\x30' + chr(7759 - 7648) + chr(49), 8), azOnMTJc4Vem, n4ljua2gi1Pr.bOgwkN3Z_Ukr[ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000), 8)], n4ljua2gi1Pr.bOgwkN3Z_Ukr[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 8)]])
xIEmRseySp3z = IDJ2eXGCBCDu.transpose(g1YG0Bn3Plix, [ehT0Px3KOsy9(chr(48) + '\x6f' + chr(48), 8), ehT0Px3KOsy9(chr(48) + chr(3226 - 3115) + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(0b1111 + 0o140) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(875 - 825), 6673 - 6665), ehT0Px3KOsy9(chr(1295 - 1247) + chr(0b1101101 + 0o2) + '\x34', 0o10)])
else:
gHcLpzanzj1i = H2MQqAZeamNo * n4ljua2gi1Pr.laxD7jy5y7k1
xIEmRseySp3z = IDJ2eXGCBCDu.pad(xIEmRseySp3z, [[ehT0Px3KOsy9(chr(1484 - 1436) + chr(0b1000100 + 0o53) + chr(48), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + '\x30', 8)], [ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + chr(0b10001 + 0o37), 8), -gn2McajqydUP % gHcLpzanzj1i], [ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + '\060', 8), ehT0Px3KOsy9('\x30' + chr(4287 - 4176) + chr(48), 8)], [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100010 + 0o16), 8)]])
xIEmRseySp3z = IDJ2eXGCBCDu.reshape(xIEmRseySp3z, [qGCVeFvxIRjf[ehT0Px3KOsy9(chr(48) + chr(0b110100 + 0o73) + chr(0b101010 + 0o6), 8)], -ehT0Px3KOsy9(chr(595 - 547) + chr(0b1101111) + '\x31', 8), n4ljua2gi1Pr.laxD7jy5y7k1, H2MQqAZeamNo])
OeWW0F1dBPRQ = YcIxtE84YScP(xIEmRseySp3z, n4ljua2gi1Pr, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\xa6TS\x90i\xefb\xa3\xbe\xf7\x9d'), chr(100) + chr(3184 - 3083) + '\143' + chr(0b1101111) + chr(100) + '\145')(chr(117) + chr(4254 - 4138) + chr(102) + '\055' + chr(2720 - 2664)))
QQEXXbdZyz6m = jSKPaHwSAfVv.shape_list(OeWW0F1dBPRQ)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\xf0uY\x87v\xf9]\x92\x81\xcc\xdb'), chr(0b1001000 + 0o34) + '\x65' + chr(0b1100011) + chr(111) + chr(0b111 + 0o135) + chr(101))('\165' + '\x74' + '\x66' + chr(0b101101) + '\x38')) == xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'2\x8ctM\xbf^\xbcH'), chr(0b110110 + 0o56) + chr(101) + chr(0b1001 + 0o132) + '\157' + chr(0b1100100) + '\x65')(chr(4035 - 3918) + chr(116) + chr(8188 - 8086) + '\055' + chr(704 - 648))) or xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16\xf0uY\x87v\xf9]\x92\x81\xcc\xdb'), chr(8512 - 8412) + '\145' + chr(0b1011111 + 0o4) + '\157' + chr(2228 - 2128) + chr(7546 - 7445))(chr(0b1001010 + 0o53) + chr(0b1110100) + '\x66' + '\055' + chr(0b111000))) == xafqLlk3kkUe(mAAZP2Lf9x3V, xafqLlk3kkUe(SXOLrMavuUCe(b'2\x8ctM\xbf^\xcc@\x82\x98\xd0'), '\144' + '\x65' + '\x63' + '\157' + '\144' + chr(0b1100101))('\x75' + '\164' + '\146' + chr(1596 - 1551) + chr(547 - 491))):
OeWW0F1dBPRQ = WOnrfm4dlYcf.right_shift_blockwise(OeWW0F1dBPRQ, n4ljua2gi1Pr.bOgwkN3Z_Ukr)
OeWW0F1dBPRQ = xW1cchoCywU8(OeWW0F1dBPRQ, n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\xa6TS\x83n\xfd'), chr(100) + chr(7320 - 7219) + '\143' + chr(0b100001 + 0o116) + chr(0b110010 + 0o62) + '\145')(chr(0b110 + 0o157) + chr(0b1000 + 0o154) + chr(0b1100110) + '\x2d' + chr(513 - 457)))
else:
OeWW0F1dBPRQ = IDJ2eXGCBCDu.reshape(OeWW0F1dBPRQ, [qGCVeFvxIRjf[ehT0Px3KOsy9('\x30' + chr(0b111011 + 0o64) + chr(48), 8)], QQEXXbdZyz6m[ehT0Px3KOsy9('\060' + chr(2481 - 2370) + chr(0b111 + 0o52), 8)] * QQEXXbdZyz6m[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32', 8)], n4ljua2gi1Pr.qzoyXN3kdhDL])
OeWW0F1dBPRQ = jSKPaHwSAfVv.shift_right_3d(OeWW0F1dBPRQ)
OeWW0F1dBPRQ = IDJ2eXGCBCDu.reshape(OeWW0F1dBPRQ, [qGCVeFvxIRjf[ehT0Px3KOsy9(chr(1467 - 1419) + chr(5091 - 4980) + chr(99 - 51), 8)], QQEXXbdZyz6m[ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + chr(49), 8)], QQEXXbdZyz6m[ehT0Px3KOsy9(chr(1966 - 1918) + chr(7862 - 7751) + chr(0b100 + 0o56), 8)], n4ljua2gi1Pr.qzoyXN3kdhDL])
OeWW0F1dBPRQ = xW1cchoCywU8(OeWW0F1dBPRQ, n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\xa6TS\x83n\xfd'), chr(0b1100100) + '\x65' + chr(99) + chr(111) + chr(0b1100100) + chr(6123 - 6022))(chr(0b1110000 + 0o5) + chr(540 - 424) + chr(0b1100110) + '\x2d' + '\x38'))
OeWW0F1dBPRQ = jSKPaHwSAfVv.cast_like(OeWW0F1dBPRQ, xIEmRseySp3z)
return (OeWW0F1dBPRQ, QQEXXbdZyz6m[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001), 8)], QQEXXbdZyz6m[ehT0Px3KOsy9('\x30' + chr(7641 - 7530) + chr(0b11100 + 0o26), 8)])
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
create_output
|
def create_output(decoder_output, rows, cols, targets, hparams):
"""Creates output from decoder output and vars.
Args:
decoder_output: Tensor of shape [batch, ...], where ... can be any rank such
that the number of elements is batch * rows * cols * hparams.hidden_size.
rows: Integer representing number of rows in a 2-D data point.
cols: Integer representing number of columns in a 2-D data point.
targets: Tensor of shape [batch, hparams.img_len, hparams.img_len,
hparams.num_channels].
hparams: HParams set.
Returns:
Tensor of shape [batch, hparams.img_len, hparams.img_len,
hparams.num_mixtures * 10] if hparams.likelihood is DMOL, otherwise
[batch, hparams.img_len, hparams.img_len, hparams.num_channels, 256].
In the special case of predict mode, it is a Tensor of rank 5.
"""
del targets # unused arg
decoded_image = postprocess_image(decoder_output, rows, cols, hparams)
batch = common_layers.shape_list(decoded_image)[0]
depth = common_layers.shape_list(decoded_image)[-1]
likelihood = getattr(hparams, "likelihood", DistributionType.CAT)
if hparams.mode == tf.estimator.ModeKeys.PREDICT:
y = tf.reshape(decoded_image, [batch, -1, 1, 1, depth])
output = y[:, :rows, :, :, :]
elif likelihood == DistributionType.CAT:
# Unpack the cols dimension of the Categorical.
channels = hparams.num_channels
output = tf.reshape(decoded_image,
[batch, rows, cols // channels, channels, depth])
else:
output = decoded_image
return output
|
python
|
def create_output(decoder_output, rows, cols, targets, hparams):
"""Creates output from decoder output and vars.
Args:
decoder_output: Tensor of shape [batch, ...], where ... can be any rank such
that the number of elements is batch * rows * cols * hparams.hidden_size.
rows: Integer representing number of rows in a 2-D data point.
cols: Integer representing number of columns in a 2-D data point.
targets: Tensor of shape [batch, hparams.img_len, hparams.img_len,
hparams.num_channels].
hparams: HParams set.
Returns:
Tensor of shape [batch, hparams.img_len, hparams.img_len,
hparams.num_mixtures * 10] if hparams.likelihood is DMOL, otherwise
[batch, hparams.img_len, hparams.img_len, hparams.num_channels, 256].
In the special case of predict mode, it is a Tensor of rank 5.
"""
del targets # unused arg
decoded_image = postprocess_image(decoder_output, rows, cols, hparams)
batch = common_layers.shape_list(decoded_image)[0]
depth = common_layers.shape_list(decoded_image)[-1]
likelihood = getattr(hparams, "likelihood", DistributionType.CAT)
if hparams.mode == tf.estimator.ModeKeys.PREDICT:
y = tf.reshape(decoded_image, [batch, -1, 1, 1, depth])
output = y[:, :rows, :, :, :]
elif likelihood == DistributionType.CAT:
# Unpack the cols dimension of the Categorical.
channels = hparams.num_channels
output = tf.reshape(decoded_image,
[batch, rows, cols // channels, channels, depth])
else:
output = decoded_image
return output
|
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Creates output from decoder output and vars.
Args:
decoder_output: Tensor of shape [batch, ...], where ... can be any rank such
that the number of elements is batch * rows * cols * hparams.hidden_size.
rows: Integer representing number of rows in a 2-D data point.
cols: Integer representing number of columns in a 2-D data point.
targets: Tensor of shape [batch, hparams.img_len, hparams.img_len,
hparams.num_channels].
hparams: HParams set.
Returns:
Tensor of shape [batch, hparams.img_len, hparams.img_len,
hparams.num_mixtures * 10] if hparams.likelihood is DMOL, otherwise
[batch, hparams.img_len, hparams.img_len, hparams.num_channels, 256].
In the special case of predict mode, it is a Tensor of rank 5.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L639-L672
|
train
|
Creates output from decoder output and vars.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + '\x37' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1101 + 0o46) + chr(50) + chr(48), 43730 - 43722), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1011101 + 0o22) + chr(0b110010) + chr(2327 - 2277) + chr(0b110100), 57456 - 57448), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(723 - 673) + '\x30' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110001 + 0o76) + chr(0b100111 + 0o12) + chr(1840 - 1792) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(90 - 37) + chr(2420 - 2365), 11377 - 11369), ehT0Px3KOsy9(chr(447 - 399) + '\x6f' + chr(0b11 + 0o56) + chr(0b110110) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + '\x32' + chr(52) + chr(0b1101 + 0o46), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\067' + chr(0b101100 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(1570 - 1522) + chr(111) + '\x33' + '\066', 0o10), ehT0Px3KOsy9(chr(1283 - 1235) + '\x6f' + '\063' + chr(0b110110) + '\x36', 25526 - 25518), ehT0Px3KOsy9(chr(48) + chr(0b10100 + 0o133) + chr(0b110001) + chr(0b1100 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x37' + chr(0b11100 + 0o27), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(180 - 125) + chr(0b110011), 8), ehT0Px3KOsy9(chr(1690 - 1642) + chr(0b110011 + 0o74) + chr(0b11100 + 0o25) + chr(2805 - 2751) + chr(1160 - 1107), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1061 - 1011) + chr(55) + chr(1864 - 1816), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b110001 + 0o4) + chr(0b110100), 23326 - 23318), ehT0Px3KOsy9('\x30' + chr(1480 - 1369) + '\x33' + chr(0b101110 + 0o5) + chr(0b10001 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(935 - 824) + '\x33' + '\x33' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\x32' + '\x31' + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b101000 + 0o15), 57802 - 57794), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\060' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(2546 - 2491) + chr(926 - 874), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9440 - 9329) + chr(0b10000 + 0o42) + chr(51) + chr(0b11 + 0o60), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\x32' + chr(2584 - 2533), 9478 - 9470), ehT0Px3KOsy9('\060' + chr(0b100001 + 0o116) + chr(1651 - 1602) + chr(0b101011 + 0o10) + '\x34', 0o10), ehT0Px3KOsy9(chr(2010 - 1962) + chr(0b1101111) + chr(0b110100) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10 + 0o60) + chr(0b11011 + 0o33) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101010 + 0o7) + chr(0b110101) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x36' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1380 - 1269) + chr(0b11101 + 0o25) + chr(0b1 + 0o61), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b101011 + 0o7) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(6303 - 6192) + chr(0b110110) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1135 - 1087) + '\x6f' + chr(0b110010) + chr(0b110100) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110101) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + chr(0b1101 + 0o46) + chr(0b11000 + 0o32) + chr(0b100000 + 0o25), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(323 - 274) + '\060' + chr(0b110001 + 0o2), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x37' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11111 + 0o24) + chr(416 - 363), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101000 + 0o17) + chr(1769 - 1715), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(767 - 714) + chr(0b100111 + 0o11), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x12'), '\x64' + chr(2635 - 2534) + '\143' + chr(111) + chr(100) + chr(0b101111 + 0o66))(chr(1630 - 1513) + chr(0b1110100) + '\x66' + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def W3laXC272xT6(JU9Bzy7FPp94, rAoIgjmAxUis, AIgvIWQd9onz, xIEmRseySp3z, n4ljua2gi1Pr):
del xIEmRseySp3z
jqnCMXKd_rau = Q33fD980rxRF(JU9Bzy7FPp94, rAoIgjmAxUis, AIgvIWQd9onz, n4ljua2gi1Pr)
dNwAahu8tvoY = jSKPaHwSAfVv.shape_list(jqnCMXKd_rau)[ehT0Px3KOsy9(chr(2055 - 2007) + '\157' + chr(0b110000), 0o10)]
UEys4_lSwsID = jSKPaHwSAfVv.shape_list(jqnCMXKd_rau)[-ehT0Px3KOsy9(chr(1599 - 1551) + '\x6f' + chr(0b110001), 12921 - 12913)]
LcCIWJ2WYLVy = xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'P\xb9\xff\xe5.\xc6\x18\xcc\x14z'), chr(1070 - 970) + chr(101) + '\x63' + chr(3303 - 3192) + '\x64' + chr(101))(chr(5478 - 5361) + '\x74' + '\x66' + chr(0b101101) + chr(2398 - 2342)), np91PbMBP2iO.CAT)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'Q\xbf\xf0\xe5'), chr(990 - 890) + chr(0b1100101) + chr(594 - 495) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))('\165' + chr(116) + '\x66' + chr(1964 - 1919) + chr(0b101001 + 0o17))) == xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'l\x82\xd1\xc4\x0b\xec$'), chr(0b1100100) + chr(1540 - 1439) + chr(0b110011 + 0o60) + chr(0b1100110 + 0o11) + chr(6995 - 6895) + chr(0b1000111 + 0o36))(chr(0b1001010 + 0o53) + '\164' + chr(7689 - 7587) + chr(0b101101) + chr(56))):
SqiSOtYOqOJH = IDJ2eXGCBCDu.reshape(jqnCMXKd_rau, [dNwAahu8tvoY, -ehT0Px3KOsy9('\x30' + chr(4502 - 4391) + chr(49), 8), ehT0Px3KOsy9(chr(615 - 567) + '\x6f' + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31', 8), UEys4_lSwsID])
e1jVqMSBZ01Y = SqiSOtYOqOJH[:, :rAoIgjmAxUis, :, :, :]
elif LcCIWJ2WYLVy == xafqLlk3kkUe(np91PbMBP2iO, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\x91\xc0'), '\144' + chr(0b11101 + 0o110) + '\x63' + chr(111) + chr(0b10 + 0o142) + chr(101))(chr(117) + chr(116) + chr(0b1100011 + 0o3) + '\x2d' + '\070')):
H2MQqAZeamNo = n4ljua2gi1Pr.X1ZpHSxyKbHn
e1jVqMSBZ01Y = IDJ2eXGCBCDu.reshape(jqnCMXKd_rau, [dNwAahu8tvoY, rAoIgjmAxUis, AIgvIWQd9onz // H2MQqAZeamNo, H2MQqAZeamNo, UEys4_lSwsID])
else:
e1jVqMSBZ01Y = jqnCMXKd_rau
return e1jVqMSBZ01Y
|
tensorflow/tensor2tensor
|
tensor2tensor/layers/common_image_attention.py
|
get_channel_embeddings
|
def get_channel_embeddings(io_depth, targets, hidden_size, name="channel"):
"""Get separate embedding for each of the channels."""
targets_split = tf.split(targets, io_depth, axis=3)
rgb_embedding_var = tf.get_variable("rgb_target_emb_%s" % name,
[256 * io_depth, hidden_size])
rgb_embedding_var = tf.identity(rgb_embedding_var)
rgb_embedding_var *= float(hidden_size)**0.5
channel_target_embs = []
for i in range(io_depth):
# Adding the channel offsets to get the right embedding since the
# embedding tensor has shape 256 * io_depth, hidden_size
target_ids = tf.squeeze(targets_split[i], axis=3) + i * 256
target_embs = common_layers.gather(rgb_embedding_var, target_ids)
channel_target_embs.append(target_embs)
return tf.concat(channel_target_embs, axis=-1)
|
python
|
def get_channel_embeddings(io_depth, targets, hidden_size, name="channel"):
"""Get separate embedding for each of the channels."""
targets_split = tf.split(targets, io_depth, axis=3)
rgb_embedding_var = tf.get_variable("rgb_target_emb_%s" % name,
[256 * io_depth, hidden_size])
rgb_embedding_var = tf.identity(rgb_embedding_var)
rgb_embedding_var *= float(hidden_size)**0.5
channel_target_embs = []
for i in range(io_depth):
# Adding the channel offsets to get the right embedding since the
# embedding tensor has shape 256 * io_depth, hidden_size
target_ids = tf.squeeze(targets_split[i], axis=3) + i * 256
target_embs = common_layers.gather(rgb_embedding_var, target_ids)
channel_target_embs.append(target_embs)
return tf.concat(channel_target_embs, axis=-1)
|
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] |
Get separate embedding for each of the channels.
|
[
"Get",
"separate",
"embedding",
"for",
"each",
"of",
"the",
"channels",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/layers/common_image_attention.py#L675-L690
|
train
|
Get the channel embedding for each of the channels.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(4663 - 4552) + '\x32' + chr(791 - 741) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + chr(2274 - 2224) + '\064' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(282 - 233) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(2199 - 2151) + chr(0b1101111) + chr(0b110010) + chr(0b10010 + 0o44) + '\x31', 11187 - 11179), ehT0Px3KOsy9('\x30' + chr(10188 - 10077) + chr(49) + chr(94 - 40) + chr(48), 33269 - 33261), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\x35' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(946 - 896) + chr(0b110101) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\x32' + chr(1378 - 1330), 0o10), ehT0Px3KOsy9('\060' + chr(11929 - 11818) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55) + '\067', 1041 - 1033), ehT0Px3KOsy9(chr(2038 - 1990) + '\157' + chr(1683 - 1634) + '\x32' + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110011), 28407 - 28399), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(2891 - 2837) + chr(1815 - 1760), 0o10), ehT0Px3KOsy9(chr(1105 - 1057) + chr(111) + chr(49) + chr(0b100011 + 0o21) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(2171 - 2120) + '\062', 58192 - 58184), ehT0Px3KOsy9(chr(48) + chr(111) + '\064' + '\062', 47179 - 47171), ehT0Px3KOsy9(chr(1782 - 1734) + chr(111) + chr(836 - 784) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\064' + '\067', 0b1000), ehT0Px3KOsy9(chr(1272 - 1224) + '\x6f' + chr(1637 - 1586) + chr(0b100110 + 0o20) + chr(0b11 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(1879 - 1830) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(0b11010 + 0o32) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(1234 - 1123) + '\x33' + chr(0b110011) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1 + 0o61) + '\x34' + '\063', 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(52) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1909 - 1861) + chr(0b1101111) + '\061' + chr(0b1110 + 0o50) + chr(0b11011 + 0o27), 36416 - 36408), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(51) + chr(0b110000) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1493 - 1445) + '\x6f' + chr(49) + chr(0b110001) + chr(0b101101 + 0o5), 8), ehT0Px3KOsy9(chr(1374 - 1326) + '\x6f' + chr(0b101111 + 0o3) + chr(0b101001 + 0o15) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\062' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1000 + 0o52) + chr(0b110100) + '\x33', 8), ehT0Px3KOsy9(chr(48) + chr(418 - 307) + chr(50) + chr(51) + chr(1420 - 1371), 53980 - 53972), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b111 + 0o60) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + '\x32' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(1332 - 1283) + chr(805 - 752) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\065' + chr(1901 - 1849), 0o10), ehT0Px3KOsy9('\060' + chr(3251 - 3140) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b110001 + 0o76) + chr(50) + '\066' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b10101 + 0o34), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b110110) + chr(54), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + chr(852 - 799) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc'), chr(4947 - 4847) + chr(9124 - 9023) + chr(0b1100011) + chr(9749 - 9638) + '\x64' + chr(0b1100101))(chr(3017 - 2900) + chr(6441 - 6325) + chr(102) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def XshBdlLxqQY0(Q4VesPieKI0W, xIEmRseySp3z, qzoyXN3kdhDL, AIvJRzLdDfgF=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\xc8+\xdf\x1e\x8eb'), chr(0b1011011 + 0o11) + '\145' + chr(0b1100011) + chr(111) + '\x64' + chr(101))(chr(0b1110001 + 0o4) + '\x74' + '\146' + '\055' + '\x38')):
c9jQKPcEjMd8 = IDJ2eXGCBCDu.split(xIEmRseySp3z, Q4VesPieKI0W, axis=ehT0Px3KOsy9(chr(1706 - 1658) + '\x6f' + '\063', 0b1000))
E9_bH4iJ3Gz8 = IDJ2eXGCBCDu.get_variable(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xc7(\xee\x04\x8a|\xcc\xb5s`6v\x95?\x7fQ'), chr(9447 - 9347) + chr(101) + '\143' + '\x6f' + chr(0b11010 + 0o112) + chr(101))(chr(117) + '\164' + chr(0b110001 + 0o65) + '\x2d' + chr(56)) % AIvJRzLdDfgF, [ehT0Px3KOsy9('\060' + '\x6f' + chr(1608 - 1556) + chr(48) + chr(48), 0o10) * Q4VesPieKI0W, qzoyXN3kdhDL])
E9_bH4iJ3Gz8 = IDJ2eXGCBCDu.vFUG5mKXcvYG(E9_bH4iJ3Gz8)
E9_bH4iJ3Gz8 *= kkSX4ccExqw4(qzoyXN3kdhDL) ** 0.5
P5a0qircLiyd = []
for WVxHKyX45z_L in vQr8gNKaIaWE(Q4VesPieKI0W):
xdrizar0JtcG = IDJ2eXGCBCDu.squeeze(c9jQKPcEjMd8[WVxHKyX45z_L], axis=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51), 8)) + WVxHKyX45z_L * ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + '\064' + chr(465 - 417) + chr(0b110000), 8)
FZux5KxHlUyg = jSKPaHwSAfVv.gather(E9_bH4iJ3Gz8, xdrizar0JtcG)
xafqLlk3kkUe(P5a0qircLiyd, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xd0:\xd4\x1e\x8f'), chr(0b1100100) + chr(4663 - 4562) + '\x63' + chr(0b10100 + 0o133) + chr(0b11001 + 0o113) + chr(0b1000011 + 0o42))(chr(0b101110 + 0o107) + '\164' + chr(6897 - 6795) + chr(0b101101) + chr(56)))(FZux5KxHlUyg)
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\xcf$\xd2\x11\x9f'), chr(0b101110 + 0o66) + chr(0b1011111 + 0o6) + chr(0b1100011) + chr(111) + '\x64' + chr(101))(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + chr(967 - 911)))(P5a0qircLiyd, axis=-ehT0Px3KOsy9(chr(515 - 467) + chr(0b1101111) + '\x31', 0b1000))
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/envs/py_func_batch_env.py
|
PyFuncBatchEnv.simulate
|
def simulate(self, action):
"""Step the batch of environments.
The results of the step can be accessed from the variables defined below.
Args:
action: Tensor holding the batch of actions to apply.
Returns:
Operation.
"""
with tf.name_scope("environment/simulate"):
if action.dtype in (tf.float16, tf.float32, tf.float64):
action = tf.check_numerics(action, "action")
def step(action):
step_response = self._batch_env.step(action)
# Current env doesn't return `info`, but EnvProblem does.
# TODO(afrozm): The proper way to do this is to make T2TGymEnv return
# an empty info return value.
if len(step_response) == 3:
(observ, reward, done) = step_response
else:
(observ, reward, done, _) = step_response
return (observ, reward.astype(np.float32), done)
observ, reward, done = tf.py_func(
step, [action],
[self.observ_dtype, tf.float32, tf.bool], name="step")
reward = tf.check_numerics(reward, "reward")
reward.set_shape((len(self),))
done.set_shape((len(self),))
with tf.control_dependencies([self._observ.assign(observ)]):
return tf.identity(reward), tf.identity(done)
|
python
|
def simulate(self, action):
"""Step the batch of environments.
The results of the step can be accessed from the variables defined below.
Args:
action: Tensor holding the batch of actions to apply.
Returns:
Operation.
"""
with tf.name_scope("environment/simulate"):
if action.dtype in (tf.float16, tf.float32, tf.float64):
action = tf.check_numerics(action, "action")
def step(action):
step_response = self._batch_env.step(action)
# Current env doesn't return `info`, but EnvProblem does.
# TODO(afrozm): The proper way to do this is to make T2TGymEnv return
# an empty info return value.
if len(step_response) == 3:
(observ, reward, done) = step_response
else:
(observ, reward, done, _) = step_response
return (observ, reward.astype(np.float32), done)
observ, reward, done = tf.py_func(
step, [action],
[self.observ_dtype, tf.float32, tf.bool], name="step")
reward = tf.check_numerics(reward, "reward")
reward.set_shape((len(self),))
done.set_shape((len(self),))
with tf.control_dependencies([self._observ.assign(observ)]):
return tf.identity(reward), tf.identity(done)
|
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] |
Step the batch of environments.
The results of the step can be accessed from the variables defined below.
Args:
action: Tensor holding the batch of actions to apply.
Returns:
Operation.
|
[
"Step",
"the",
"batch",
"of",
"environments",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/envs/py_func_batch_env.py#L79-L110
|
train
|
Simulate the environment.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1412 - 1364) + '\157' + chr(50) + '\x34' + chr(0b1 + 0o62), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\062' + chr(796 - 748), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5385 - 5274) + chr(1597 - 1548) + chr(0b110010) + '\063', 52261 - 52253), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\063' + '\x31', 7184 - 7176), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\062' + '\x34', 26043 - 26035), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + '\x33' + '\x33' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10000 + 0o137) + chr(0b110011) + chr(376 - 322) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\x36' + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x37' + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(8308 - 8197) + chr(2015 - 1966) + chr(1084 - 1033) + chr(0b101100 + 0o5), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + '\062' + chr(0b11010 + 0o32) + '\066', 10898 - 10890), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(55) + chr(0b101010 + 0o15), 0b1000), ehT0Px3KOsy9('\060' + chr(1370 - 1259) + chr(0b1 + 0o62) + chr(0b110100) + chr(55), 25512 - 25504), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(961 - 912) + chr(53) + chr(0b10100 + 0o34), 59172 - 59164), ehT0Px3KOsy9('\060' + chr(6364 - 6253) + chr(0b10 + 0o61) + '\x35' + chr(326 - 275), 28782 - 28774), ehT0Px3KOsy9('\060' + chr(0b1010101 + 0o32) + chr(0b1011 + 0o47) + chr(1845 - 1794) + '\x36', 64018 - 64010), ehT0Px3KOsy9(chr(579 - 531) + chr(111) + chr(0b11110 + 0o25) + '\x34' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(49) + '\063' + chr(0b10010 + 0o44), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b110010) + '\064' + chr(0b1011 + 0o52), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110010) + chr(51), 15920 - 15912), ehT0Px3KOsy9(chr(518 - 470) + chr(0b1101111) + chr(49) + chr(0b1100 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(1298 - 1250) + chr(0b1101111) + chr(54) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1441 - 1392) + chr(2118 - 2066) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(0b101001 + 0o11) + chr(51) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(404 - 354) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110000) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x31' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(7796 - 7685) + '\063' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b11010 + 0o31) + chr(0b110110), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100100 + 0o15) + '\066' + chr(1113 - 1063), 59360 - 59352), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b110010), 36551 - 36543), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(2759 - 2706) + chr(1152 - 1101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2232 - 2181) + chr(48) + chr(0b101111 + 0o10), 54075 - 54067), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(1263 - 1212) + '\x33', 8), ehT0Px3KOsy9(chr(440 - 392) + chr(0b1101111) + chr(1210 - 1156) + chr(0b110110), 20742 - 20734), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2200 - 2150) + chr(0b110101 + 0o2) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101010 + 0o105) + chr(2401 - 2348) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\x33' + chr(0b100001 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(975 - 927) + '\x6f' + '\x32' + '\x37' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(496 - 448) + '\x6f' + '\x33' + chr(0b100110 + 0o17) + '\x32', 94 - 86)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101) + chr(0b110000), 11649 - 11641)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d'), chr(3241 - 3141) + chr(0b1100101) + chr(0b1001011 + 0o30) + chr(0b1101111) + chr(100) + chr(101))(chr(8874 - 8757) + '\x74' + '\146' + chr(0b100011 + 0o12) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def BlL198FinR22(oVre8I6UXc3b, vyskHDXig6uT):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xf1><\x0b\xad\x95\xd9H<'), '\144' + chr(5268 - 5167) + chr(0b110010 + 0o61) + '\x6f' + '\x64' + chr(0b1100011 + 0o2))('\165' + chr(116) + '\x66' + chr(1399 - 1354) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xfe%0&\xb1\x98\xdb]7\xd2\xd0\x94\x01\x86\xeb\x8d?\xd1\xb6'), chr(0b1100100) + chr(809 - 708) + chr(7757 - 7658) + chr(111) + chr(1616 - 1516) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1001000 + 0o36) + chr(0b10101 + 0o30) + chr(0b111000))):
if xafqLlk3kkUe(vyskHDXig6uT, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xc3\x05`\x1d\x95\x98\xd3U\x11\x91\xb4'), chr(0b1100100) + '\x65' + chr(8045 - 7946) + chr(0b100110 + 0o111) + chr(0b110000 + 0o64) + chr(0b1001111 + 0o26))(chr(0b1000011 + 0o62) + chr(6601 - 6485) + chr(253 - 151) + chr(0b101101) + chr(0b0 + 0o70))) in (xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xfc<8 \xef\xc0'), chr(0b1100100) + chr(0b10111 + 0o116) + chr(99) + chr(111) + chr(8311 - 8211) + '\x65')('\x75' + chr(0b110 + 0o156) + chr(0b100011 + 0o103) + '\055' + '\070')), xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xfc<8 \xed\xc4'), chr(100) + chr(9639 - 9538) + '\x63' + chr(111) + '\x64' + chr(6310 - 6209))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(45) + chr(0b111000))), xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xfc<8 \xe8\xc2'), chr(0b1011111 + 0o5) + chr(1461 - 1360) + '\x63' + chr(0b110010 + 0o75) + '\144' + chr(5693 - 5592))(chr(0b1011011 + 0o32) + chr(116) + chr(4596 - 4494) + chr(0b110 + 0o47) + chr(0b111000)))):
vyskHDXig6uT = IDJ2eXGCBCDu.check_numerics(vyskHDXig6uT, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc2\xf3'0;\xb0"), chr(100) + chr(2768 - 2667) + chr(99) + chr(5434 - 5323) + '\x64' + '\145')(chr(0b10111 + 0o136) + chr(0b100101 + 0o117) + chr(6471 - 6369) + chr(0b10001 + 0o34) + '\x38'))
def kDuFsAhEatcU(vyskHDXig6uT):
w3e4j6fc4kI1 = oVre8I6UXc3b._batch_env.kDuFsAhEatcU(vyskHDXig6uT)
if c2A0yzQpDQB3(w3e4j6fc4kI1) == ehT0Px3KOsy9(chr(1446 - 1398) + chr(0b11110 + 0o121) + chr(0b110011), 0b1000):
(wHSYNqbLMAj1, jEXsEsgeguP4, Ki86oC9WfglU) = w3e4j6fc4kI1
else:
(wHSYNqbLMAj1, jEXsEsgeguP4, Ki86oC9WfglU, VNGQdHSFPrso) = w3e4j6fc4kI1
return (wHSYNqbLMAj1, xafqLlk3kkUe(jEXsEsgeguP4, xafqLlk3kkUe(SXOLrMavuUCe(b"\xc2\xe3' $\xbb"), chr(0b1100100) + chr(7788 - 7687) + '\143' + chr(111) + chr(100) + '\x65')('\x75' + chr(0b100000 + 0o124) + chr(2977 - 2875) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xfc<8 \xed\xc4'), '\x64' + chr(0b1100101) + chr(0b111010 + 0o51) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(8795 - 8678) + '\164' + '\146' + '\x2d' + chr(56)))), Ki86oC9WfglU)
(wHSYNqbLMAj1, jEXsEsgeguP4, Ki86oC9WfglU) = IDJ2eXGCBCDu.py_func(kDuFsAhEatcU, [vyskHDXig6uT], [oVre8I6UXc3b.observ_dtype, IDJ2eXGCBCDu.float32, IDJ2eXGCBCDu.bool], name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\xe46)'), chr(2484 - 2384) + chr(8464 - 8363) + '\143' + chr(5290 - 5179) + chr(100) + '\x65')(chr(0b1011111 + 0o26) + chr(0b1110100) + chr(102) + chr(1829 - 1784) + chr(996 - 940)))
jEXsEsgeguP4 = IDJ2eXGCBCDu.check_numerics(jEXsEsgeguP4, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\xf5$8&\xba'), '\144' + chr(101) + chr(6059 - 5960) + '\157' + '\x64' + chr(0b1100101))(chr(117) + chr(0b1110100) + '\146' + '\x2d' + '\070'))
xafqLlk3kkUe(jEXsEsgeguP4, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd0\xf5'\x06'\xb6\x97\xc6]"), chr(0b1100 + 0o130) + chr(0b1100101) + chr(99) + chr(0b101100 + 0o103) + '\x64' + chr(101))(chr(0b1110101) + chr(0b11101 + 0o127) + chr(0b1110 + 0o130) + '\x2d' + '\x38'))((c2A0yzQpDQB3(oVre8I6UXc3b),))
xafqLlk3kkUe(Ki86oC9WfglU, xafqLlk3kkUe(SXOLrMavuUCe(b"\xd0\xf5'\x06'\xb6\x97\xc6]"), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b10111 + 0o130) + chr(0b1100100) + chr(101))('\165' + chr(2391 - 2275) + '\146' + chr(0b101101) + '\x38'))((c2A0yzQpDQB3(oVre8I6UXc3b),))
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xff=-&\xb1\x9a\xe9\\<\xd6\x9a\x89\x0c\x8e\xf0\x827\xc0\xa0'), chr(0b1100100) + chr(5514 - 5413) + chr(99) + chr(8056 - 7945) + chr(100) + chr(0b101011 + 0o72))(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + '\070'))([xafqLlk3kkUe(oVre8I6UXc3b._observ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xe3 03\xb0'), chr(4207 - 4107) + '\x65' + chr(99) + chr(7560 - 7449) + chr(0b1100100) + '\145')(chr(2517 - 2400) + chr(1387 - 1271) + '\x66' + chr(0b101101) + '\070'))(wHSYNqbLMAj1)]):
return (xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\xd6\x06\x1ea\xb3\xbd\xee[/\xff\xb8'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + chr(0b1100100) + '\x65')('\165' + chr(0b1 + 0o163) + chr(0b10001 + 0o125) + '\x2d' + chr(0b111000)))(jEXsEsgeguP4), xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\xd6\x06\x1ea\xb3\xbd\xee[/\xff\xb8'), chr(100) + '\145' + chr(0b1100 + 0o127) + '\157' + '\x64' + '\x65')('\x75' + chr(6669 - 6553) + chr(102) + chr(0b1100 + 0o41) + '\070'))(Ki86oC9WfglU))
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/envs/py_func_batch_env.py
|
PyFuncBatchEnv._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.
"""
observ = tf.py_func(
self._batch_env.reset, [indices], self.observ_dtype, name="reset")
observ.set_shape(indices.get_shape().concatenate(self.observ_shape))
with tf.control_dependencies([
tf.scatter_update(self._observ, indices, observ)]):
return tf.identity(observ)
|
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.
"""
observ = tf.py_func(
self._batch_env.reset, [indices], self.observ_dtype, name="reset")
observ.set_shape(indices.get_shape().concatenate(self.observ_shape))
with tf.control_dependencies([
tf.scatter_update(self._observ, indices, observ)]):
return tf.identity(observ)
|
[
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",",
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",",
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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.
|
[
"Reset",
"the",
"batch",
"of",
"environments",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/envs/py_func_batch_env.py#L112-L126
|
train
|
Reset the batch of environments to empty.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1086 - 1036) + chr(0b110111) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b110101) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100 + 0o143) + chr(0b110011) + chr(0b101000 + 0o12) + '\x35', 0o10), ehT0Px3KOsy9(chr(73 - 25) + chr(0b1101111) + '\x33' + chr(0b110000) + '\x31', 41399 - 41391), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\064' + '\065', 41708 - 41700), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(1219 - 1164) + chr(0b110100), 42773 - 42765), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10 + 0o60) + chr(0b110101) + chr(0b101100 + 0o11), 0b1000), ehT0Px3KOsy9(chr(1475 - 1427) + chr(8415 - 8304) + chr(0b110100), 61344 - 61336), ehT0Px3KOsy9('\x30' + chr(7730 - 7619) + '\061' + chr(0b101011 + 0o11) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111 + 0o0) + chr(49) + chr(1875 - 1827), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + chr(0b110001) + '\x37' + '\064', 8), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\x31' + chr(52) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\065' + chr(2441 - 2388), 8), ehT0Px3KOsy9(chr(1018 - 970) + '\157' + chr(52) + chr(0b10011 + 0o35), 0o10), ehT0Px3KOsy9(chr(695 - 647) + chr(0b1101111) + chr(0b101011 + 0o14) + chr(219 - 171), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1244 - 1193) + '\060' + '\061', 8), ehT0Px3KOsy9('\x30' + chr(5108 - 4997) + chr(51) + '\066' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b110010) + chr(50) + chr(1649 - 1598), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(2685 - 2631) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\x35' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101000 + 0o13) + chr(50) + '\062', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2027 - 1974) + chr(887 - 832), 37898 - 37890), ehT0Px3KOsy9('\x30' + chr(0b100000 + 0o117) + chr(807 - 757) + chr(0b110100) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100100 + 0o17) + '\x37' + chr(2571 - 2516), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + '\063' + chr(0b1 + 0o65) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1043 - 994) + chr(0b110011) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b10000 + 0o137) + chr(611 - 562) + '\064' + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(850 - 801) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(54) + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(2407 - 2352), 19289 - 19281), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(50) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100010 + 0o17) + '\063' + chr(0b110000 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\063' + chr(0b10011 + 0o40) + chr(92 - 41), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b10 + 0o62) + chr(0b10110 + 0o33), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001 + 0o3) + chr(1559 - 1504), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b110001) + '\061', 49300 - 49292), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100100 + 0o17) + '\060' + chr(0b0 + 0o67), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\x34' + chr(898 - 845), 8), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + chr(0b1011 + 0o46) + '\x32' + chr(2142 - 2090), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + chr(53) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x91'), '\144' + '\x65' + chr(99) + '\x6f' + chr(0b1100100) + chr(7549 - 7448))(chr(0b1110101) + chr(5814 - 5698) + '\146' + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def HxI98j6L8IWY(oVre8I6UXc3b, pIcoaXENl5Pw):
wHSYNqbLMAj1 = IDJ2eXGCBCDu.py_func(oVre8I6UXc3b._batch_env.reset, [pIcoaXENl5Pw], oVre8I6UXc3b.observ_dtype, name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xce\xa6\xa4\x11'), '\x64' + '\x65' + chr(0b110000 + 0o63) + '\157' + '\144' + chr(6138 - 6037))(chr(0b110 + 0o157) + '\x74' + '\146' + chr(0b10111 + 0o26) + chr(0b111000)))
xafqLlk3kkUe(wHSYNqbLMAj1, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xce\xa1\x9e\x16\x14v\xdda'), '\x64' + chr(0b1100101) + chr(0b11111 + 0o104) + chr(0b11111 + 0o120) + chr(0b101100 + 0o70) + chr(0b1100101))(chr(4884 - 4767) + '\164' + chr(0b1111 + 0o127) + chr(45) + '\x38'))(xafqLlk3kkUe(pIcoaXENl5Pw.get_shape(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xc4\xbb\xa2\x04\x08r\xc3e\x15m'), chr(100) + '\145' + chr(0b1010 + 0o131) + chr(7614 - 7503) + chr(0b1011100 + 0o10) + '\x65')(chr(5341 - 5224) + '\164' + chr(0b1100110) + '\055' + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\xc9\xa6\xa4\x17\nH\xdel\x00x\x19'), chr(0b10000 + 0o124) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(1676 - 1575))('\165' + chr(0b1010000 + 0o44) + chr(0b11000 + 0o116) + chr(0b10011 + 0o32) + '\x38'))))
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc\xc4\xbb\xb5\x17\x13{\xf2`\x04x\x19\t\xc9EV\xa2\x99\xf6\xc1'), chr(0b1010101 + 0o17) + chr(0b1100101) + chr(0b1100011) + '\157' + '\144' + chr(0b11 + 0o142))(chr(0b110110 + 0o77) + chr(0b11100 + 0o130) + chr(102) + chr(0b101101) + chr(0b11100 + 0o34)))([xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xc8\xb4\xb5\x11\x19e\xf2q\x11l\x1d\x13\xc8'), '\x64' + chr(3602 - 3501) + '\x63' + chr(0b1101111) + chr(100) + chr(8073 - 7972))(chr(0b1011011 + 0o32) + chr(0b1110100) + chr(102) + '\055' + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xc4\xb7\xb2\x00\x0ea'), '\x64' + '\145' + chr(0b110001 + 0o62) + chr(111) + chr(9800 - 9700) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(45) + '\070')), pIcoaXENl5Pw, wHSYNqbLMAj1)]):
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xed\x80\x86P\x11\\\xf5g\x17Q;'), '\x64' + chr(101) + chr(99) + '\x6f' + chr(100) + '\145')(chr(0b1110101) + chr(0b1011 + 0o151) + '\x66' + '\x2d' + chr(56)))(wHSYNqbLMAj1)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
include_revision
|
def include_revision(revision_num, skip_factor=1.1):
"""Decide whether to include a revision.
If the number of revisions is large, we exclude some revisions to avoid
a quadratic blowup in runtime, since the article is likely also large.
We make the ratio between consecutive included revision numbers
appproximately equal to "factor".
Args:
revision_num: an integer
skip_factor: a floating point number >= 1.0
Returns:
a boolean
"""
if skip_factor <= 1.0:
return True
return (int(math.log1p(revision_num) / math.log(skip_factor)) != int(
math.log(revision_num + 2.0) / math.log(skip_factor)))
|
python
|
def include_revision(revision_num, skip_factor=1.1):
"""Decide whether to include a revision.
If the number of revisions is large, we exclude some revisions to avoid
a quadratic blowup in runtime, since the article is likely also large.
We make the ratio between consecutive included revision numbers
appproximately equal to "factor".
Args:
revision_num: an integer
skip_factor: a floating point number >= 1.0
Returns:
a boolean
"""
if skip_factor <= 1.0:
return True
return (int(math.log1p(revision_num) / math.log(skip_factor)) != int(
math.log(revision_num + 2.0) / math.log(skip_factor)))
|
[
"def",
"include_revision",
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"revision_num",
",",
"skip_factor",
"=",
"1.1",
")",
":",
"if",
"skip_factor",
"<=",
"1.0",
":",
"return",
"True",
"return",
"(",
"int",
"(",
"math",
".",
"log1p",
"(",
"revision_num",
")",
"/",
"math",
".",
"log",
"(",
"skip_factor",
")",
")",
"!=",
"int",
"(",
"math",
".",
"log",
"(",
"revision_num",
"+",
"2.0",
")",
"/",
"math",
".",
"log",
"(",
"skip_factor",
")",
")",
")"
] |
Decide whether to include a revision.
If the number of revisions is large, we exclude some revisions to avoid
a quadratic blowup in runtime, since the article is likely also large.
We make the ratio between consecutive included revision numbers
appproximately equal to "factor".
Args:
revision_num: an integer
skip_factor: a floating point number >= 1.0
Returns:
a boolean
|
[
"Decide",
"whether",
"to",
"include",
"a",
"revision",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L36-L55
|
train
|
Decide whether to include 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('\x30' + '\157' + '\x31' + chr(52) + chr(909 - 857), 61838 - 61830), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(50) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(629 - 581) + chr(111) + chr(0b110001) + chr(0b101 + 0o53) + chr(0b11100 + 0o30), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101111 + 0o100) + chr(1675 - 1626) + chr(0b1111 + 0o41) + chr(0b10011 + 0o35), 0o10), ehT0Px3KOsy9(chr(1792 - 1744) + chr(7860 - 7749) + '\061' + '\067' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(10169 - 10058) + chr(2241 - 2190) + chr(49) + chr(0b11101 + 0o23), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1627 - 1576) + chr(53) + '\x35', 63659 - 63651), ehT0Px3KOsy9(chr(2199 - 2151) + chr(111) + chr(0b110001) + chr(576 - 526) + chr(0b1111 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11003 - 10892) + chr(0b101001 + 0o12) + '\060' + '\x35', 56028 - 56020), ehT0Px3KOsy9('\x30' + chr(111) + chr(1794 - 1745) + chr(405 - 354) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(52) + chr(1625 - 1574), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1587 - 1537) + chr(1752 - 1703) + chr(0b1111 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2107 - 1996) + chr(680 - 631) + chr(0b110000) + '\065', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\x33' + chr(567 - 512) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10593 - 10482) + chr(1889 - 1840) + chr(2159 - 2106) + chr(1579 - 1527), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10498 - 10387) + chr(0b110011) + '\067' + chr(53), 62580 - 62572), ehT0Px3KOsy9('\x30' + chr(0b10011 + 0o134) + chr(0b110001) + chr(1318 - 1268) + chr(0b1100 + 0o50), 0o10), ehT0Px3KOsy9(chr(48) + chr(11829 - 11718) + chr(0b100100 + 0o15) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100001 + 0o22) + '\x33' + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b110101) + chr(0b11100 + 0o25), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b11 + 0o154) + '\061' + chr(0b1101 + 0o51) + chr(2362 - 2308), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\066' + '\064', 0o10), ehT0Px3KOsy9(chr(676 - 628) + chr(7948 - 7837) + chr(2252 - 2201) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + '\063' + chr(592 - 544) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(0b10001 + 0o44) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(335 - 283) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b110011 + 0o74) + chr(1586 - 1536) + chr(2482 - 2431) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(48) + chr(54), 45446 - 45438), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(1062 - 1012) + chr(0b10001 + 0o37), 0o10), ehT0Px3KOsy9(chr(1040 - 992) + chr(0b11101 + 0o122) + '\x35' + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + '\062' + chr(0b11100 + 0o32), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1 + 0o64) + '\x30', 8), ehT0Px3KOsy9(chr(1772 - 1724) + chr(111) + chr(812 - 757) + chr(53), 33465 - 33457), ehT0Px3KOsy9(chr(1574 - 1526) + '\x6f' + chr(55) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(2133 - 2085) + chr(111) + '\x36', 8), ehT0Px3KOsy9(chr(379 - 331) + chr(0b10100 + 0o133) + '\063' + chr(0b1101 + 0o44) + chr(53), 21711 - 21703), ehT0Px3KOsy9('\060' + chr(111) + '\066', 8), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b101000 + 0o107) + chr(0b100 + 0o55) + chr(53) + chr(1037 - 987), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9390 - 9279) + '\062' + '\064' + chr(2178 - 2130), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + '\065' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'J'), chr(100) + chr(0b1001110 + 0o27) + '\x63' + chr(111) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1110100) + '\x66' + '\055' + chr(1360 - 1304)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def XeSXOMtJW5xw(Rhbj71equSW1, Ub7mupZ5PFB7=1.1):
if Ub7mupZ5PFB7 <= 1.0:
return ehT0Px3KOsy9('\x30' + chr(8721 - 8610) + chr(0b110001), ord("\x08"))
return ehT0Px3KOsy9(xafqLlk3kkUe(yhiZVkosCjBm, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xf9au0'), '\x64' + chr(101) + chr(0b1010100 + 0o17) + '\x6f' + chr(3623 - 3523) + chr(3474 - 3373))(chr(0b1110101) + chr(116) + '\x66' + chr(926 - 881) + chr(0b1000 + 0o60)))(Rhbj71equSW1) / xafqLlk3kkUe(yhiZVkosCjBm, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xf9a'), chr(0b110011 + 0o61) + chr(6528 - 6427) + '\x63' + chr(9593 - 9482) + chr(100) + chr(187 - 86))(chr(117) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(1169 - 1113)))(Ub7mupZ5PFB7)) != ehT0Px3KOsy9(xafqLlk3kkUe(yhiZVkosCjBm, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xf9a'), '\x64' + '\x65' + chr(0b1100011) + chr(7851 - 7740) + chr(275 - 175) + '\x65')(chr(117) + '\x74' + '\x66' + chr(0b101101) + chr(0b100 + 0o64)))(Rhbj71equSW1 + 2.0) / xafqLlk3kkUe(yhiZVkosCjBm, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xf9a'), chr(0b1100100) + chr(1983 - 1882) + chr(0b1010110 + 0o15) + '\157' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(1722 - 1606) + chr(0b1100110) + '\x2d' + chr(0b111000)))(Ub7mupZ5PFB7))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
file_page_generator
|
def file_page_generator(my_file, max_page_size=2**28):
"""Read wikipedia pages from a history dump.
Since some pages can be terabytes in size (with all the revisions),
we limit page size to max_page_size bytes.
Args:
my_file: an open file object.
max_page_size: an integer
Yields:
strings
"""
page_start = " <page>\n"
page_end = " </page>\n"
chunk_size = max_page_size
page_start = " <page>\n"
page_end = " </page>\n"
leftovers = ""
while True:
chunk = my_file.read(chunk_size)
if not chunk:
break
chunk = leftovers + chunk
current_pos = 0
while True:
start_pos = chunk.find(page_start, current_pos)
if start_pos == -1:
break
end_pos = chunk.find(page_end, start_pos)
if end_pos == -1:
if len(chunk) - start_pos > max_page_size:
leftovers = ""
else:
leftovers = chunk[start_pos:]
break
raw_page = chunk[start_pos + len(page_start):end_pos]
if len(raw_page) < max_page_size:
ret = parse_page(raw_page)
if ret:
yield ret
current_pos = end_pos + len(page_end)
|
python
|
def file_page_generator(my_file, max_page_size=2**28):
"""Read wikipedia pages from a history dump.
Since some pages can be terabytes in size (with all the revisions),
we limit page size to max_page_size bytes.
Args:
my_file: an open file object.
max_page_size: an integer
Yields:
strings
"""
page_start = " <page>\n"
page_end = " </page>\n"
chunk_size = max_page_size
page_start = " <page>\n"
page_end = " </page>\n"
leftovers = ""
while True:
chunk = my_file.read(chunk_size)
if not chunk:
break
chunk = leftovers + chunk
current_pos = 0
while True:
start_pos = chunk.find(page_start, current_pos)
if start_pos == -1:
break
end_pos = chunk.find(page_end, start_pos)
if end_pos == -1:
if len(chunk) - start_pos > max_page_size:
leftovers = ""
else:
leftovers = chunk[start_pos:]
break
raw_page = chunk[start_pos + len(page_start):end_pos]
if len(raw_page) < max_page_size:
ret = parse_page(raw_page)
if ret:
yield ret
current_pos = end_pos + len(page_end)
|
[
"def",
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"my_file",
",",
"max_page_size",
"=",
"2",
"**",
"28",
")",
":",
"page_start",
"=",
"\" <page>\\n\"",
"page_end",
"=",
"\" </page>\\n\"",
"chunk_size",
"=",
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"=",
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"+",
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"(",
"page_end",
")"
] |
Read wikipedia pages from a history dump.
Since some pages can be terabytes in size (with all the revisions),
we limit page size to max_page_size bytes.
Args:
my_file: an open file object.
max_page_size: an integer
Yields:
strings
|
[
"Read",
"wikipedia",
"pages",
"from",
"a",
"history",
"dump",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L58-L99
|
train
|
A generator function that reads wikipedia pages from a file object.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + chr(1024 - 973) + chr(52) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111 + 0o0) + '\061' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b110010) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(903 - 855) + chr(111) + '\062' + '\x33' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b101110 + 0o4) + '\x36' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100 + 0o153) + chr(1229 - 1178) + chr(2441 - 2389) + chr(572 - 524), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\065' + '\060', 28027 - 28019), ehT0Px3KOsy9('\060' + '\157' + chr(48), 64132 - 64124), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b101111 + 0o2) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\064' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1100 + 0o143) + chr(0b11100 + 0o25) + '\x36' + chr(362 - 312), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10101 + 0o36) + chr(1634 - 1584) + '\063', 39730 - 39722), ehT0Px3KOsy9('\060' + chr(7608 - 7497) + chr(0b10000 + 0o45) + '\x37', 35547 - 35539), ehT0Px3KOsy9('\x30' + chr(0b11101 + 0o122) + chr(0b110 + 0o54) + chr(53), 12991 - 12983), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b100001 + 0o21) + chr(0b10011 + 0o37), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100) + '\x32', 8560 - 8552), ehT0Px3KOsy9(chr(0b110000) + chr(4737 - 4626) + '\x32' + '\x35' + chr(2668 - 2615), 29267 - 29259), ehT0Px3KOsy9(chr(48) + '\157' + chr(730 - 680) + chr(0b100100 + 0o21) + '\062', 37836 - 37828), ehT0Px3KOsy9(chr(0b110000) + chr(5256 - 5145) + chr(51) + chr(54) + '\061', 26457 - 26449), ehT0Px3KOsy9(chr(1161 - 1113) + chr(0b1101111 + 0o0) + chr(0b11111 + 0o24) + '\065' + chr(2223 - 2171), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8571 - 8460) + chr(51) + chr(0b1001 + 0o56) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\064' + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(51) + chr(0b100100 + 0o15), 19127 - 19119), ehT0Px3KOsy9(chr(48) + chr(11517 - 11406) + chr(50) + chr(1605 - 1550) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + '\x31' + chr(50) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(2122 - 2074) + '\x6f' + chr(0b110001) + chr(467 - 414) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(1796 - 1745) + chr(0b110011) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3924 - 3813) + chr(1446 - 1392) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(0b100 + 0o57) + '\x31' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(0b110110) + chr(50), 8), ehT0Px3KOsy9('\x30' + chr(0b10100 + 0o133) + chr(51) + '\x33' + chr(0b11111 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1011001 + 0o26) + chr(0b110011) + chr(1144 - 1094) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10805 - 10694) + chr(51) + chr(1418 - 1363) + '\062', 60924 - 60916), ehT0Px3KOsy9('\060' + chr(11524 - 11413) + chr(1243 - 1193) + chr(49) + chr(943 - 893), 11447 - 11439), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\060' + '\x33', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(7802 - 7691) + chr(53) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd'), chr(100) + chr(7201 - 7100) + '\x63' + chr(0b1101111) + chr(100) + chr(101))(chr(0b110 + 0o157) + chr(116) + chr(102) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def IrIIqi9QI7OV(KqFjs6o6Xhjs, tgW0J8OEPzts=ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + '\062', 1131 - 1123) ** ehT0Px3KOsy9(chr(782 - 734) + chr(2185 - 2074) + chr(0b10011 + 0o40) + chr(0b10000 + 0o44), 0b1000)):
MxiAlVuyRGNo = xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3.l\xee\xd3\x87\r>\xc2'), '\144' + '\145' + chr(99) + chr(0b1010100 + 0o33) + chr(0b1100100) + chr(0b101110 + 0o67))(chr(0b1010111 + 0o36) + '\164' + chr(0b1000001 + 0o45) + '\x2d' + chr(0b1001 + 0o57))
GCRgCcnm5OGd = xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3.l\xb1\xc2\x81\x0fe\xf6/'), chr(100) + chr(0b1100101) + '\x63' + '\x6f' + chr(0b10010 + 0o122) + '\x65')(chr(0b1011 + 0o152) + chr(0b1110100) + chr(0b100000 + 0o106) + '\x2d' + chr(137 - 81))
ha7Qr2IqbXbY = tgW0J8OEPzts
MxiAlVuyRGNo = xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3.l\xee\xd3\x87\r>\xc2'), chr(0b1100100) + chr(0b110100 + 0o61) + chr(99) + chr(5624 - 5513) + '\x64' + chr(101))('\165' + chr(0b1110100) + chr(6271 - 6169) + chr(0b101101) + chr(0b110000 + 0o10))
GCRgCcnm5OGd = xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3.l\xb1\xc2\x81\x0fe\xf6/'), '\x64' + chr(0b1001011 + 0o32) + chr(99) + chr(0b11010 + 0o125) + chr(2932 - 2832) + chr(0b10001 + 0o124))('\165' + '\164' + '\x66' + '\x2d' + '\x38')
ke5bag5ENArc = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1001100 + 0o30) + '\x65' + chr(0b110 + 0o135) + chr(111) + chr(100) + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b101010 + 0o74) + chr(1710 - 1665) + chr(0b10000 + 0o50))
while ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(327 - 278), 0b1000):
qrKMvKviNzHg = KqFjs6o6Xhjs.U6MiWrhuCi2Y(ha7Qr2IqbXbY)
if not qrKMvKviNzHg:
break
qrKMvKviNzHg = ke5bag5ENArc + qrKMvKviNzHg
ZnCbILVVYDXi = ehT0Px3KOsy9(chr(48) + chr(8288 - 8177) + chr(0b110000), 8)
while ehT0Px3KOsy9(chr(0b110000) + chr(5567 - 5456) + '\x31', 8):
hDRa8Mx_sca6 = qrKMvKviNzHg.find(MxiAlVuyRGNo, ZnCbILVVYDXi)
if hDRa8Mx_sca6 == -ehT0Px3KOsy9(chr(0b110000) + chr(0b1010110 + 0o31) + chr(49), 8):
break
QlnLpa5TXz3x = qrKMvKviNzHg.find(GCRgCcnm5OGd, hDRa8Mx_sca6)
if QlnLpa5TXz3x == -ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + '\x31', 8):
if c2A0yzQpDQB3(qrKMvKviNzHg) - hDRa8Mx_sca6 > tgW0J8OEPzts:
ke5bag5ENArc = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(100) + chr(0b1100101) + '\x63' + '\157' + chr(100) + chr(0b10000 + 0o125))(chr(13684 - 13567) + chr(0b1000110 + 0o56) + chr(0b111101 + 0o51) + chr(1759 - 1714) + '\070')
else:
ke5bag5ENArc = qrKMvKviNzHg[hDRa8Mx_sca6:]
break
i1SZwVQLEmFH = qrKMvKviNzHg[hDRa8Mx_sca6 + c2A0yzQpDQB3(MxiAlVuyRGNo):QlnLpa5TXz3x]
if c2A0yzQpDQB3(i1SZwVQLEmFH) < tgW0J8OEPzts:
VHn4CV4Ymrei = ukchra_XoPCJ(i1SZwVQLEmFH)
if VHn4CV4Ymrei:
yield VHn4CV4Ymrei
ZnCbILVVYDXi = QlnLpa5TXz3x + c2A0yzQpDQB3(GCRgCcnm5OGd)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
get_title
|
def get_title(page):
"""Extract the title from a page.
Args:
page: a string
Returns:
a string
"""
start_pos = page.find("<title>")
end_pos = page.find("</title>")
assert start_pos != -1
assert end_pos != -1
start_pos += len("<title>")
return text_encoder.to_unicode_utf8(page[start_pos:end_pos])
|
python
|
def get_title(page):
"""Extract the title from a page.
Args:
page: a string
Returns:
a string
"""
start_pos = page.find("<title>")
end_pos = page.find("</title>")
assert start_pos != -1
assert end_pos != -1
start_pos += len("<title>")
return text_encoder.to_unicode_utf8(page[start_pos:end_pos])
|
[
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"\"<title>\"",
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"text_encoder",
".",
"to_unicode_utf8",
"(",
"page",
"[",
"start_pos",
":",
"end_pos",
"]",
")"
] |
Extract the title from a page.
Args:
page: a string
Returns:
a string
|
[
"Extract",
"the",
"title",
"from",
"a",
"page",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L102-L115
|
train
|
Extract the title from a page.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101010 + 0o5) + chr(518 - 469) + '\x30' + chr(1444 - 1391), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\065' + chr(210 - 156), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\062' + chr(50) + chr(55), 63592 - 63584), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + '\x31' + chr(0b1101 + 0o44) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1173 - 1125) + chr(0b1101111) + chr(0b110100) + '\064', 0b1000), ehT0Px3KOsy9(chr(540 - 492) + '\157' + chr(947 - 898) + '\x30' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(1558 - 1508) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(1375 - 1325) + '\x34' + chr(1764 - 1711), 0o10), ehT0Px3KOsy9(chr(48) + chr(5188 - 5077) + chr(0b10101 + 0o37) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(2120 - 2072) + chr(4563 - 4452) + chr(0b11000 + 0o32) + '\063' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(3716 - 3605) + chr(0b100010 + 0o20) + chr(0b11111 + 0o23) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(52) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101011 + 0o104) + '\061' + '\x33' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b10111 + 0o34) + chr(394 - 345), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(54) + chr(0b101110 + 0o3), 0b1000), ehT0Px3KOsy9(chr(162 - 114) + '\157' + chr(49) + chr(738 - 690) + chr(0b100111 + 0o14), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + '\060', 47955 - 47947), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(48) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(1969 - 1920) + chr(1950 - 1899), 0o10), ehT0Px3KOsy9(chr(1547 - 1499) + chr(0b1101111) + chr(0b100110 + 0o14) + chr(0b101010 + 0o10) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(9263 - 9152) + chr(1054 - 1003) + chr(0b1101 + 0o46) + chr(201 - 151), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101011 + 0o6) + chr(1759 - 1711) + chr(0b11001 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(9203 - 9092) + chr(0b101111 + 0o2) + chr(0b110001) + chr(83 - 29), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(54) + '\066', 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + '\062' + chr(0b100100 + 0o21) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(52) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5854 - 5743) + '\x31' + chr(1825 - 1777) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(275 - 227) + chr(0b1101111) + chr(0b110010) + chr(98 - 43) + chr(474 - 424), 0b1000), ehT0Px3KOsy9(chr(674 - 626) + chr(111) + '\x31' + chr(1364 - 1316) + chr(51), 8), ehT0Px3KOsy9(chr(0b110000) + chr(6119 - 6008) + '\x31' + chr(51) + '\x35', 8), ehT0Px3KOsy9(chr(441 - 393) + chr(0b10011 + 0o134) + '\x33' + chr(0b11010 + 0o32) + '\066', 0o10), ehT0Px3KOsy9(chr(939 - 891) + chr(0b11101 + 0o122) + '\x32' + '\x34' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b110011) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(6435 - 6324) + chr(0b101100 + 0o6) + chr(2169 - 2117) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\x31' + chr(52), 3274 - 3266), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(8195 - 8084) + chr(0b1111 + 0o42) + '\x37' + chr(620 - 570), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b100 + 0o61) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(181 - 132) + chr(1696 - 1644), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4794 - 4683) + '\x31' + '\067' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1001001 + 0o46) + '\x33' + chr(53) + '\x33', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(952 - 904), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'k'), chr(100) + chr(0b1001000 + 0o35) + chr(99) + chr(3907 - 3796) + '\144' + '\x65')('\x75' + '\x74' + chr(102) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xmhu8xMJ3ow0(Voe3WRW7deL_):
hDRa8Mx_sca6 = Voe3WRW7deL_.find(xafqLlk3kkUe(SXOLrMavuUCe(b'y\x1a\xfe8H"\xe9'), chr(0b1100100) + chr(0b110000 + 0o65) + '\x63' + chr(111) + chr(7378 - 7278) + chr(1476 - 1375))(chr(8309 - 8192) + '\x74' + chr(3380 - 3278) + chr(0b101101) + chr(56)))
QlnLpa5TXz3x = Voe3WRW7deL_.find(xafqLlk3kkUe(SXOLrMavuUCe(b'yA\xe3%P+\xb2\x9b'), '\144' + '\x65' + chr(99) + chr(0b11101 + 0o122) + chr(4784 - 4684) + chr(0b101110 + 0o67))(chr(5782 - 5665) + chr(0b110001 + 0o103) + '\x66' + chr(45) + '\070'))
assert hDRa8Mx_sca6 != -ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + chr(2220 - 2171), 0b1000)
assert QlnLpa5TXz3x != -ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001), 8)
hDRa8Mx_sca6 += c2A0yzQpDQB3(xafqLlk3kkUe(SXOLrMavuUCe(b'y\x1a\xfe8H"\xe9'), '\144' + chr(0b1001110 + 0o27) + chr(0b1000 + 0o133) + '\157' + chr(8190 - 8090) + chr(101))('\165' + chr(0b1101110 + 0o6) + chr(8770 - 8668) + chr(0b100011 + 0o12) + chr(0b111000)))
return xafqLlk3kkUe(nCRDzZ_Is9fz, xafqLlk3kkUe(SXOLrMavuUCe(b'1\x01\xc89J.\xb4\xcaD\xfc\xcf\x14)\xff\x89'), chr(0b1100100) + chr(101) + '\143' + chr(0b1101111) + chr(0b111110 + 0o46) + chr(10173 - 10072))(chr(11862 - 11745) + chr(0b1110100) + '\146' + chr(45) + chr(0b111000)))(Voe3WRW7deL_[hDRa8Mx_sca6:QlnLpa5TXz3x])
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/wiki_revision_utils.py
|
get_id
|
def get_id(page):
"""Extract the id from a page.
Args:
page: a string
Returns:
an integer
"""
start_pos = page.find("<id>")
end_pos = page.find("</id>")
assert start_pos != -1
assert end_pos != -1
start_pos += len("<id>")
return int(page[start_pos:end_pos])
|
python
|
def get_id(page):
"""Extract the id from a page.
Args:
page: a string
Returns:
an integer
"""
start_pos = page.find("<id>")
end_pos = page.find("</id>")
assert start_pos != -1
assert end_pos != -1
start_pos += len("<id>")
return int(page[start_pos:end_pos])
|
[
"def",
"get_id",
"(",
"page",
")",
":",
"start_pos",
"=",
"page",
".",
"find",
"(",
"\"<id>\"",
")",
"end_pos",
"=",
"page",
".",
"find",
"(",
"\"</id>\"",
")",
"assert",
"start_pos",
"!=",
"-",
"1",
"assert",
"end_pos",
"!=",
"-",
"1",
"start_pos",
"+=",
"len",
"(",
"\"<id>\"",
")",
"return",
"int",
"(",
"page",
"[",
"start_pos",
":",
"end_pos",
"]",
")"
] |
Extract the id from a page.
Args:
page: a string
Returns:
an integer
|
[
"Extract",
"the",
"id",
"from",
"a",
"page",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/wiki_revision_utils.py#L118-L131
|
train
|
Extract the id from a page.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(855 - 807) + chr(12121 - 12010) + '\063' + chr(539 - 487) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1277 - 1229) + '\x6f' + '\063' + chr(51) + chr(54), 0o10), ehT0Px3KOsy9(chr(1663 - 1615) + chr(0b111011 + 0o64) + chr(0b110001) + '\x36' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(1258 - 1208) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111 + 0o0) + '\x32' + '\x35' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010000 + 0o37) + '\x33' + chr(50) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100111 + 0o13) + chr(1955 - 1907) + chr(0b101 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(948 - 900) + chr(0b1101111) + '\065' + chr(53), 15107 - 15099), ehT0Px3KOsy9('\060' + '\157' + chr(53) + chr(169 - 120), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\062' + chr(0b10001 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + '\061' + chr(0b11 + 0o63) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110110) + chr(615 - 566), 61156 - 61148), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + chr(0b110010) + '\x33' + chr(52), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b1100 + 0o53) + chr(0b10100 + 0o35), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(50) + chr(0b110101) + chr(2874 - 2820), 0o10), ehT0Px3KOsy9('\060' + chr(10548 - 10437) + '\x31' + chr(0b110010) + chr(48), 0b1000), ehT0Px3KOsy9(chr(107 - 59) + '\x6f' + chr(51) + '\064' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1423 - 1312) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(11494 - 11383) + '\x32' + chr(50) + chr(50), 12367 - 12359), ehT0Px3KOsy9(chr(737 - 689) + chr(111) + '\061' + chr(1246 - 1197) + '\066', 10521 - 10513), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\x33' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011 + 0o144) + '\061' + chr(1341 - 1286), ord("\x08")), ehT0Px3KOsy9(chr(2246 - 2198) + '\157' + '\061' + chr(0b1001 + 0o56) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063', 3169 - 3161), ehT0Px3KOsy9(chr(2054 - 2006) + chr(111) + chr(51) + chr(0b110100) + chr(0b1111 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11895 - 11784) + chr(2758 - 2704) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(755 - 704) + chr(1855 - 1801) + chr(0b10011 + 0o36), 39607 - 39599), ehT0Px3KOsy9(chr(0b110000) + chr(9764 - 9653) + chr(0b100 + 0o57) + chr(0b1101 + 0o47) + '\x30', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(1226 - 1174) + chr(208 - 159), 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(0b110010) + '\062' + chr(383 - 335), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\062' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b11001 + 0o126) + '\x31' + chr(0b110100) + '\067', 42679 - 42671), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000 + 0o147) + chr(0b100110 + 0o13) + '\x33' + chr(2105 - 2053), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110 + 0o60) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + chr(0b110110) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1512 - 1462) + chr(0b110011), 40354 - 40346), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(51) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\x30' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1509 - 1461) + chr(4563 - 4452) + chr(50) + '\x36' + '\060', 32245 - 32237)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1663 - 1615) + '\x6f' + '\065' + '\060', 542 - 534)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8'), chr(0b100100 + 0o100) + chr(101) + chr(99) + chr(0b11010 + 0o125) + chr(4816 - 4716) + chr(101))(chr(0b1110101) + chr(116) + '\x66' + chr(390 - 345) + chr(0b10100 + 0o44)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def hj2RXUyjWWEj(Voe3WRW7deL_):
hDRa8Mx_sca6 = Voe3WRW7deL_.find(xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xb7\x15\xad'), chr(4616 - 4516) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b1100000 + 0o4) + chr(7112 - 7011))(chr(0b11001 + 0o134) + chr(0b1110100) + chr(102) + chr(45) + '\x38'))
QlnLpa5TXz3x = Voe3WRW7deL_.find(xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xf1\x18\xf7\x92'), chr(6107 - 6007) + chr(0b100101 + 0o100) + chr(99) + '\x6f' + chr(100) + chr(0b1001110 + 0o27))('\x75' + '\164' + '\x66' + '\055' + chr(0b100011 + 0o25)))
assert hDRa8Mx_sca6 != -ehT0Px3KOsy9(chr(48) + '\157' + '\061', 0o10)
assert QlnLpa5TXz3x != -ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49), 8)
hDRa8Mx_sca6 += c2A0yzQpDQB3(xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xb7\x15\xad'), chr(945 - 845) + '\145' + chr(0b1000000 + 0o43) + chr(8872 - 8761) + chr(0b1010001 + 0o23) + '\145')(chr(12843 - 12726) + chr(3036 - 2920) + chr(4108 - 4006) + chr(0b101101) + '\x38'))
return ehT0Px3KOsy9(Voe3WRW7deL_[hDRa8Mx_sca6:QlnLpa5TXz3x])
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