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tensorflow/tensor2tensor
|
tensor2tensor/data_generators/allen_brain.py
|
_generator
|
def _generator(tmp_dir, training, size=_BASE_EXAMPLE_IMAGE_SIZE,
training_fraction=0.95):
"""Base problem example generator for Allen Brain Atlas problems.
Args:
tmp_dir: str, a directory where raw example input data has been stored.
training: bool, whether the mode of operation is training (or,
alternatively, evaluation), determining whether examples in tmp_dir
prefixed with train or dev will be used.
size: int, the image size to add to the example annotation.
training_fraction: float, the fraction of the sub-image path list to
consider as the basis for training examples.
Yields:
A dictionary representing the images with the following fields:
* image/encoded: The string encoding the image as JPEG.
* image/format: The string "jpeg" indicating the image format.
* image/height: The integer indicating the image height.
* image/width: The integer indicating the image height.
"""
maybe_download_image_dataset(_IMAGE_IDS, tmp_dir)
image_files = _get_case_file_paths(tmp_dir=tmp_dir,
case=training,
training_fraction=training_fraction)
image_obj = PIL_Image()
tf.logging.info("Loaded case file paths (n=%s)" % len(image_files))
height = size
width = size
for input_path in image_files:
img = image_obj.open(input_path)
img = np.float32(img)
shape = np.shape(img)
for h_index in range(0, int(math.floor(shape[0]/size))):
h_offset = h_index * size
h_end = h_offset + size - 1
for v_index in range(0, int(math.floor(shape[1]/size))):
v_offset = v_index * size
v_end = v_offset + size - 1
# Extract a sub-image tile.
subimage = np.uint8(img[h_offset:h_end, v_offset:v_end]) # pylint: disable=invalid-sequence-index
# Filter images that are likely background (not tissue).
if np.amax(subimage) < 230:
continue
subimage = image_obj.fromarray(subimage)
buff = BytesIO()
subimage.save(buff, format="JPEG")
subimage_encoded = buff.getvalue()
yield {
"image/encoded": [subimage_encoded],
"image/format": ["jpeg"],
"image/height": [height],
"image/width": [width]
}
|
python
|
def _generator(tmp_dir, training, size=_BASE_EXAMPLE_IMAGE_SIZE,
training_fraction=0.95):
"""Base problem example generator for Allen Brain Atlas problems.
Args:
tmp_dir: str, a directory where raw example input data has been stored.
training: bool, whether the mode of operation is training (or,
alternatively, evaluation), determining whether examples in tmp_dir
prefixed with train or dev will be used.
size: int, the image size to add to the example annotation.
training_fraction: float, the fraction of the sub-image path list to
consider as the basis for training examples.
Yields:
A dictionary representing the images with the following fields:
* image/encoded: The string encoding the image as JPEG.
* image/format: The string "jpeg" indicating the image format.
* image/height: The integer indicating the image height.
* image/width: The integer indicating the image height.
"""
maybe_download_image_dataset(_IMAGE_IDS, tmp_dir)
image_files = _get_case_file_paths(tmp_dir=tmp_dir,
case=training,
training_fraction=training_fraction)
image_obj = PIL_Image()
tf.logging.info("Loaded case file paths (n=%s)" % len(image_files))
height = size
width = size
for input_path in image_files:
img = image_obj.open(input_path)
img = np.float32(img)
shape = np.shape(img)
for h_index in range(0, int(math.floor(shape[0]/size))):
h_offset = h_index * size
h_end = h_offset + size - 1
for v_index in range(0, int(math.floor(shape[1]/size))):
v_offset = v_index * size
v_end = v_offset + size - 1
# Extract a sub-image tile.
subimage = np.uint8(img[h_offset:h_end, v_offset:v_end]) # pylint: disable=invalid-sequence-index
# Filter images that are likely background (not tissue).
if np.amax(subimage) < 230:
continue
subimage = image_obj.fromarray(subimage)
buff = BytesIO()
subimage.save(buff, format="JPEG")
subimage_encoded = buff.getvalue()
yield {
"image/encoded": [subimage_encoded],
"image/format": ["jpeg"],
"image/height": [height],
"image/width": [width]
}
|
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] |
Base problem example generator for Allen Brain Atlas problems.
Args:
tmp_dir: str, a directory where raw example input data has been stored.
training: bool, whether the mode of operation is training (or,
alternatively, evaluation), determining whether examples in tmp_dir
prefixed with train or dev will be used.
size: int, the image size to add to the example annotation.
training_fraction: float, the fraction of the sub-image path list to
consider as the basis for training examples.
Yields:
A dictionary representing the images with the following fields:
* image/encoded: The string encoding the image as JPEG.
* image/format: The string "jpeg" indicating the image format.
* image/height: The integer indicating the image height.
* image/width: The integer indicating the image height.
|
[
"Base",
"problem",
"example",
"generator",
"for",
"Allen",
"Brain",
"Atlas",
"problems",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/allen_brain.py#L192-L260
|
train
|
Base problem example generator for Allen Brain Atlas problems.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1732 - 1684) + '\157' + '\061' + chr(55) + '\x35', 48810 - 48802), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(50) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7488 - 7377) + chr(0b110010) + chr(0b10001 + 0o43), 0b1000), ehT0Px3KOsy9(chr(48) + chr(12189 - 12078) + chr(53) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(51) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b101 + 0o56) + '\064', 0b1000), ehT0Px3KOsy9(chr(1080 - 1032) + chr(111) + '\x33' + chr(0b110111) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(12068 - 11957) + chr(52) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\x30' + chr(1323 - 1272), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9352 - 9241) + chr(49) + chr(0b110110) + '\065', 0o10), ehT0Px3KOsy9(chr(399 - 351) + chr(0b11111 + 0o120) + chr(0b100111 + 0o14) + chr(0b110111) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(1892 - 1781) + chr(53) + '\065', 40556 - 40548), ehT0Px3KOsy9('\x30' + '\157' + '\064' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(249 - 200) + chr(667 - 618) + chr(49), 32210 - 32202), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001100 + 0o43) + chr(49) + '\060', 0b1000), ehT0Px3KOsy9(chr(681 - 633) + chr(0b1010 + 0o145) + chr(0b1111 + 0o43) + chr(53) + chr(0b11011 + 0o33), 12911 - 12903), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(54) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\x36' + chr(0b101111 + 0o7), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110101) + chr(55), 9697 - 9689), ehT0Px3KOsy9('\060' + chr(695 - 584) + chr(0b110011 + 0o0) + chr(0b100111 + 0o12) + chr(2545 - 2491), 0b1000), ehT0Px3KOsy9(chr(428 - 380) + '\x6f' + '\x32' + chr(0b110000) + '\066', 43538 - 43530), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(51) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10000 + 0o42) + chr(0b11000 + 0o36) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10110 + 0o35) + chr(0b110101) + chr(992 - 938), ord("\x08")), ehT0Px3KOsy9(chr(965 - 917) + chr(111) + chr(0b100101 + 0o17) + '\x30', 35640 - 35632), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10 + 0o61) + chr(2131 - 2081) + '\062', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b11110 + 0o26) + chr(1364 - 1309), ord("\x08")), ehT0Px3KOsy9(chr(1748 - 1700) + chr(5882 - 5771) + chr(1373 - 1323) + chr(0b1100 + 0o53) + chr(0b110110), 981 - 973), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(49) + chr(984 - 934) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(2265 - 2217) + '\157' + chr(0b110001 + 0o0) + '\x34' + chr(0b101 + 0o54), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b1100 + 0o47) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(9016 - 8905) + chr(0b10000 + 0o43) + chr(0b110101) + chr(0b100 + 0o56), 0b1000), ehT0Px3KOsy9(chr(345 - 297) + chr(111) + chr(1540 - 1489) + '\064' + chr(0b11101 + 0o31), 41753 - 41745), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\067' + chr(48), 17200 - 17192), ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + chr(49), 12549 - 12541), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + '\x33' + chr(0b110001) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\064' + '\x37', 6078 - 6070), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(0b101100 + 0o12) + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x37' + chr(0b10 + 0o65), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(53) + chr(0b11001 + 0o27), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'S'), chr(1408 - 1308) + chr(4163 - 4062) + chr(99) + '\157' + '\144' + '\x65')('\165' + '\164' + '\x66' + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FAKj7wPme4Wo(JsZ36NJUqtml, H15mhcYcioqz, NLcc3BCJnQka=oMBrcMVj92fR, bM5jErhnx_32=0.95):
V8TdwwQpfSS6(SjlHr40MZSAK, JsZ36NJUqtml)
sxe9ObnmYNO9 = LvAmu1wvJMQp(tmp_dir=JsZ36NJUqtml, case=H15mhcYcioqz, training_fraction=bM5jErhnx_32)
gkdN0e0SHrfU = RHAaDRV020yY()
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xe2\\Vs:;\xc8N//\x91'), chr(100) + '\145' + chr(0b1100011) + '\x6f' + chr(7405 - 7305) + '\x65')(chr(117) + chr(116) + '\146' + chr(555 - 510) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'1\xbauJc=|\x9cE0\x10\xdaKL%m\x8eA\xd7\x1b\xa6\xf5y\x9d\x80\x1d\xf7\x14\x97'), chr(559 - 459) + '\x65' + chr(0b110010 + 0o61) + chr(10958 - 10847) + chr(0b1100100) + chr(101))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(2225 - 2169)) % c2A0yzQpDQB3(sxe9ObnmYNO9))
ehbUULKuygfC = NLcc3BCJnQka
mPx09rBTrGXR = NLcc3BCJnQka
for f4VmsQ86qYDJ in sxe9ObnmYNO9:
s63jeLEbd8fs = gkdN0e0SHrfU.open(f4VmsQ86qYDJ)
s63jeLEbd8fs = WqUC3KWvYVup.float32(s63jeLEbd8fs)
nauYfLglTpcb = WqUC3KWvYVup.nauYfLglTpcb(s63jeLEbd8fs)
for lvLtgjXuSksc in vQr8gNKaIaWE(ehT0Px3KOsy9('\x30' + '\157' + '\060', 0b1000), ehT0Px3KOsy9(xafqLlk3kkUe(yhiZVkosCjBm, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\xb9{At'), '\144' + chr(101) + chr(0b1100011) + '\x6f' + '\144' + chr(101))('\165' + chr(116) + chr(102) + chr(1693 - 1648) + chr(1490 - 1434)))(nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + chr(0b110000), 8)] / NLcc3BCJnQka))):
mwaDpJIIBnGE = lvLtgjXuSksc * NLcc3BCJnQka
asisnP5GtOWB = mwaDpJIIBnGE + NLcc3BCJnQka - ehT0Px3KOsy9(chr(167 - 119) + chr(4557 - 4446) + chr(0b10000 + 0o41), 8)
for MOJ9EZ6QCHjP in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(971 - 923) + '\x6f' + chr(48), 8), ehT0Px3KOsy9(xafqLlk3kkUe(yhiZVkosCjBm, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\xb9{At'), chr(0b1100100) + chr(0b1100101) + '\143' + '\x6f' + chr(0b1100100) + chr(101))(chr(10823 - 10706) + chr(0b1110100) + chr(0b11010 + 0o114) + '\055' + chr(2345 - 2289)))(nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31', 8)] / NLcc3BCJnQka))):
DvWMQ1wPwKM2 = MOJ9EZ6QCHjP * NLcc3BCJnQka
J_bmu_m_hpiH = DvWMQ1wPwKM2 + NLcc3BCJnQka - ehT0Px3KOsy9(chr(1400 - 1352) + chr(3569 - 3458) + '\061', 8)
uUTAAP1pVenM = WqUC3KWvYVup.uint8(s63jeLEbd8fs[mwaDpJIIBnGE:asisnP5GtOWB, DvWMQ1wPwKM2:J_bmu_m_hpiH])
if xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\xb8uV'), '\x64' + chr(101) + '\x63' + chr(111) + chr(0b1100100) + chr(1709 - 1608))('\x75' + '\x74' + chr(0b10001 + 0o125) + '\055' + '\x38'))(uUTAAP1pVenM) < ehT0Px3KOsy9('\x30' + '\157' + chr(0b10 + 0o61) + chr(0b110100) + chr(1129 - 1075), 8):
continue
uUTAAP1pVenM = gkdN0e0SHrfU.fromarray(uUTAAP1pVenM)
c0oC7XMBxwn9 = f9L_Rzl5SCCf()
xafqLlk3kkUe(uUTAAP1pVenM, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xb4bK'), chr(2270 - 2170) + '\x65' + chr(0b101110 + 0o65) + chr(10852 - 10741) + '\x64' + '\x65')(chr(0b100010 + 0o123) + chr(0b1011000 + 0o34) + '\146' + chr(45) + chr(0b111000)))(c0oC7XMBxwn9, format=xafqLlk3kkUe(SXOLrMavuUCe(b'7\x85Qi'), '\144' + chr(101) + '\143' + chr(0b1001 + 0o146) + chr(9857 - 9757) + chr(0b1100101))(chr(117) + '\164' + chr(102) + '\055' + chr(0b111000)))
OLHbtteNkclm = c0oC7XMBxwn9.getvalue()
yield {xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xb8uIcv9\x91G,\x11\x9fI'), '\x64' + chr(0b1 + 0o144) + chr(99) + chr(111) + '\144' + chr(0b1100101))('\x75' + chr(2228 - 2112) + chr(4059 - 3957) + chr(160 - 115) + '\070'): [OLHbtteNkclm], xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xb8uIcv:\x90V.\x14\x8e'), chr(0b1100100) + chr(101) + chr(4669 - 4570) + chr(0b100101 + 0o112) + chr(0b1100100) + chr(101))('\165' + '\164' + '\x66' + chr(45) + chr(1280 - 1224)): [xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xa5qI'), chr(886 - 786) + chr(0b1010110 + 0o17) + chr(0b11100 + 0o107) + chr(111) + chr(100) + '\x65')(chr(117) + chr(0b1110100) + chr(2573 - 2471) + '\055' + chr(748 - 692))], xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xb8uIcv4\x9aM$\x1d\x8e'), chr(100) + chr(101) + chr(9027 - 8928) + chr(0b1011111 + 0o20) + '\x64' + chr(5607 - 5506))('\x75' + '\164' + chr(6486 - 6384) + chr(1439 - 1394) + '\x38'): [ehbUULKuygfC], xafqLlk3kkUe(SXOLrMavuUCe(b'\x14\xb8uIcv+\x96@7\x1d'), chr(0b1100 + 0o130) + chr(9872 - 9771) + '\143' + '\x6f' + '\144' + '\145')('\x75' + chr(6160 - 6044) + chr(8143 - 8041) + chr(45) + '\070'): [mPx09rBTrGXR]}
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_moe.py
|
transformer_moe_base
|
def transformer_moe_base():
"""Set of hyperparameters."""
hparams = common_hparams.basic_params1()
hparams.norm_type = "layer"
hparams.hidden_size = 512
hparams.batch_size = 4096
hparams.max_length = 2001
hparams.max_input_seq_length = 2000
hparams.max_target_seq_length = 2000
hparams.dropout = 0.0
hparams.clip_grad_norm = 0. # i.e. no gradient clipping
hparams.optimizer_adam_epsilon = 1e-9
hparams.learning_rate_decay_scheme = "noam"
hparams.learning_rate = 0.1
hparams.learning_rate_warmup_steps = 2000
hparams.initializer_gain = 1.0
hparams.num_hidden_layers = 5
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 = 0.0
hparams.shared_embedding_and_softmax_weights = True
# According to noam, ("n", "da") seems better for harder-to-learn models
hparams.layer_preprocess_sequence = "n"
hparams.layer_postprocess_sequence = "da"
# Hparams used by transformer_prepare_decoder() function
hparams.add_hparam("pos", "timing") # timing, none
hparams.add_hparam("proximity_bias", False)
hparams.add_hparam("causal_decoder_self_attention", True)
hparams = common_attention.add_standard_attention_hparams(hparams)
# Decoder layers type. If set, num_decoder_layers parameter will be ignored
# and the number of decoder layer will be deduced from the string
# See top file comment for example of usage
hparams.add_hparam("layer_types", "")
# Default attention type (ex: a, loc, red,...) and feed-forward type (ex: fc,
# sep, moe,...)
hparams.add_hparam("default_att", "a")
hparams.add_hparam("default_ff", "fc")
return hparams
|
python
|
def transformer_moe_base():
"""Set of hyperparameters."""
hparams = common_hparams.basic_params1()
hparams.norm_type = "layer"
hparams.hidden_size = 512
hparams.batch_size = 4096
hparams.max_length = 2001
hparams.max_input_seq_length = 2000
hparams.max_target_seq_length = 2000
hparams.dropout = 0.0
hparams.clip_grad_norm = 0. # i.e. no gradient clipping
hparams.optimizer_adam_epsilon = 1e-9
hparams.learning_rate_decay_scheme = "noam"
hparams.learning_rate = 0.1
hparams.learning_rate_warmup_steps = 2000
hparams.initializer_gain = 1.0
hparams.num_hidden_layers = 5
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 = 0.0
hparams.shared_embedding_and_softmax_weights = True
# According to noam, ("n", "da") seems better for harder-to-learn models
hparams.layer_preprocess_sequence = "n"
hparams.layer_postprocess_sequence = "da"
# Hparams used by transformer_prepare_decoder() function
hparams.add_hparam("pos", "timing") # timing, none
hparams.add_hparam("proximity_bias", False)
hparams.add_hparam("causal_decoder_self_attention", True)
hparams = common_attention.add_standard_attention_hparams(hparams)
# Decoder layers type. If set, num_decoder_layers parameter will be ignored
# and the number of decoder layer will be deduced from the string
# See top file comment for example of usage
hparams.add_hparam("layer_types", "")
# Default attention type (ex: a, loc, red,...) and feed-forward type (ex: fc,
# sep, moe,...)
hparams.add_hparam("default_att", "a")
hparams.add_hparam("default_ff", "fc")
return hparams
|
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Set of hyperparameters.
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272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_moe.py#L267-L311
|
train
|
Hparams used by transformer_moe_base.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(146 - 98) + chr(0b1101111) + '\067' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1149 - 1101) + chr(111) + chr(0b100000 + 0o22) + chr(708 - 657) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\063' + chr(49), 29585 - 29577), ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + chr(0b10 + 0o60) + chr(52) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1010 + 0o50) + '\x30' + chr(1971 - 1916), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1439 - 1390) + '\x34' + chr(0b1111 + 0o44), 25107 - 25099), ehT0Px3KOsy9(chr(556 - 508) + chr(11809 - 11698) + chr(49) + '\067' + chr(920 - 865), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b110111) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(665 - 617) + chr(111) + chr(0b100011 + 0o17) + '\062' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(446 - 398) + chr(0b1000111 + 0o50) + chr(491 - 440) + chr(0b110111) + chr(53), 0o10), ehT0Px3KOsy9(chr(1955 - 1907) + '\157' + chr(0b1111 + 0o43) + chr(48) + chr(2878 - 2823), 8), ehT0Px3KOsy9(chr(516 - 468) + '\157' + '\x32' + chr(0b110001) + '\x34', 0o10), ehT0Px3KOsy9(chr(49 - 1) + chr(0b1101111) + '\x32' + chr(0b101110 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(1219 - 1171) + chr(0b11001 + 0o126) + chr(0b110011) + chr(52) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + chr(685 - 634) + chr(0b110001) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(48) + chr(2151 - 2101), 0b1000), ehT0Px3KOsy9(chr(450 - 402) + '\x6f' + chr(498 - 443) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(49) + chr(0b110010 + 0o0) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\x31' + chr(0b10110 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4488 - 4377) + '\061' + chr(2515 - 2463) + chr(0b10 + 0o56), 0b1000), ehT0Px3KOsy9(chr(997 - 949) + '\x6f' + '\062' + '\x36' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5330 - 5219) + chr(0b110011) + chr(0b110011) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1290 - 1241) + chr(50) + chr(0b11010 + 0o26), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011 + 0o2) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(48) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x36' + chr(1414 - 1364), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x37' + chr(217 - 162), 5049 - 5041), ehT0Px3KOsy9('\060' + chr(0b101011 + 0o104) + chr(50) + chr(0b110100) + chr(683 - 633), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\x36' + chr(0b10011 + 0o36), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + chr(1862 - 1809) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(51) + '\060', 28749 - 28741), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + '\x32' + '\x34' + chr(0b101010 + 0o12), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\x31' + chr(55) + '\x31', 0o10), ehT0Px3KOsy9(chr(113 - 65) + chr(8862 - 8751) + chr(50) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000 + 0o6) + '\x31', 0b1000), ehT0Px3KOsy9(chr(1240 - 1192) + '\157' + chr(0b11000 + 0o33) + chr(0b110110) + chr(2489 - 2436), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\x33' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(430 - 382) + chr(11887 - 11776) + '\x36' + chr(1874 - 1824), 790 - 782), ehT0Px3KOsy9(chr(48) + chr(6783 - 6672) + chr(0b1101 + 0o46) + '\060', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2475 - 2422) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x11'), chr(8984 - 8884) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b111100 + 0o50) + chr(0b1100101))(chr(11121 - 11004) + chr(0b1110100) + chr(9432 - 9330) + '\055' + chr(0b110001 + 0o7)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def yfR9zFcofdDv():
n4ljua2gi1Pr = vLnG3ZpOXWXZ.basic_params1()
n4ljua2gi1Pr.LE5Fu6Tcl7nw = xafqLlk3kkUe(SXOLrMavuUCe(b'S\xfd\xa0\xc6\xf5'), chr(3486 - 3386) + chr(0b1100101) + '\143' + chr(5526 - 5415) + chr(0b1100100) + chr(101))('\165' + chr(116) + chr(0b101 + 0o141) + '\055' + chr(0b110001 + 0o7))
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(48) + chr(1149 - 1101) + chr(0b100011 + 0o15), ord("\x08"))
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + '\061' + chr(0b110000) + '\x30' + chr(0b100 + 0o54) + chr(1381 - 1333), 18228 - 18220)
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b100100 + 0o113) + '\x33' + chr(0b110111) + chr(0b101110 + 0o4) + chr(0b110001), 36514 - 36506)
n4ljua2gi1Pr.xa50HGLsAIaS = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(55) + chr(0b110010) + chr(1693 - 1645), 0b1000)
n4ljua2gi1Pr.uJutLB5DfPmB = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1100 + 0o47) + chr(2123 - 2068) + chr(0b11111 + 0o23) + chr(0b110000), 8)
n4ljua2gi1Pr.ag0mwEgWzjYv = 0.0
n4ljua2gi1Pr.SdNSZNVkVjLh = 0.0
n4ljua2gi1Pr.o17O_bIptWdl = 1e-09
n4ljua2gi1Pr.v3ZnJE9Hdub1 = xafqLlk3kkUe(SXOLrMavuUCe(b'Q\xf3\xb8\xce'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(5214 - 5103) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + chr(0b100110 + 0o7) + '\x38')
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.1
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(303 - 255) + '\x6f' + chr(0b110011) + chr(55) + chr(0b101101 + 0o5) + chr(48), 8)
n4ljua2gi1Pr.S1SbCBXLapw8 = 1.0
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101), 0b1000)
n4ljua2gi1Pr.kwfuYzkY5C57 = xafqLlk3kkUe(SXOLrMavuUCe(b'J\xf2\xb0\xc5\xe8\x11\x12"\xe7\x93\xee\xf8N\x96\xa9#V?\xa2g'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b111001 + 0o53) + chr(0b110001 + 0o64))('\x75' + '\164' + chr(0b1011110 + 0o10) + '\x2d' + chr(0b111000))
n4ljua2gi1Pr.eB4rJl6fUxw9 = 0.0
n4ljua2gi1Pr.GcOjyd7zcDH8 = 0.9
n4ljua2gi1Pr.CBOVKNT0M9cG = 0.98
n4ljua2gi1Pr.Syf38YGTPvuw = ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11101 + 0o23), 8)
n4ljua2gi1Pr.FSjUgdaczzRk = 0.0
n4ljua2gi1Pr.qVamxim0L2I1 = ehT0Px3KOsy9('\x30' + '\x6f' + '\061', ord("\x08"))
n4ljua2gi1Pr.WjY1aZ7lwLOu = xafqLlk3kkUe(SXOLrMavuUCe(b'Q'), chr(8809 - 8709) + '\x65' + '\x63' + chr(0b1101111) + '\144' + chr(0b10111 + 0o116))(chr(117) + chr(10093 - 9977) + chr(5110 - 5008) + chr(0b101101) + chr(0b101010 + 0o16))
n4ljua2gi1Pr.s6T_PoakASTI = xafqLlk3kkUe(SXOLrMavuUCe(b'[\xfd'), chr(0b1010000 + 0o24) + '\x65' + chr(0b1100011) + '\157' + '\x64' + chr(0b1001 + 0o134))('\x75' + chr(0b1110100) + chr(713 - 611) + '\x2d' + '\070')
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'^\xf8\xbd\xfc\xef\x13\x1e\x0f\xf3\x90'), chr(0b1100100) + chr(101) + chr(99) + '\157' + '\144' + '\x65')(chr(6494 - 6377) + chr(0b1101001 + 0o13) + chr(102) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'O\xf3\xaa'), '\x64' + chr(0b1010111 + 0o16) + '\143' + chr(0b111011 + 0o64) + '\x64' + chr(0b1011011 + 0o12))(chr(0b1110101) + chr(6532 - 6416) + chr(5397 - 5295) + chr(251 - 206) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'K\xf5\xb4\xca\xe9\x04'), chr(0b11010 + 0o112) + chr(101) + chr(0b1 + 0o142) + '\x6f' + chr(100) + chr(0b11110 + 0o107))(chr(117) + chr(212 - 96) + '\146' + '\055' + chr(306 - 250)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'^\xf8\xbd\xfc\xef\x13\x1e\x0f\xf3\x90'), '\x64' + chr(101) + chr(0b1100011) + chr(111) + chr(100) + chr(101))(chr(117) + chr(9325 - 9209) + chr(0b1100101 + 0o1) + chr(0b101101) + chr(0b110011 + 0o5)))(xafqLlk3kkUe(SXOLrMavuUCe(b'O\xee\xb6\xdb\xee\x0e\x16\t\xeb\xa2\xe5\xe5p\x96'), chr(0b1001111 + 0o25) + chr(0b10 + 0o143) + chr(0b1010100 + 0o17) + chr(1037 - 926) + chr(100) + chr(0b1100101))('\x75' + chr(0b1011010 + 0o32) + '\146' + '\055' + chr(1512 - 1456)), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(0b100 + 0o54), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'^\xf8\xbd\xfc\xef\x13\x1e\x0f\xf3\x90'), chr(3369 - 3269) + '\x65' + '\x63' + chr(6669 - 6558) + chr(4600 - 4500) + chr(0b10011 + 0o122))(chr(117) + chr(116) + '\x66' + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\\\xfd\xac\xd0\xe6\x0f \x19\xf7\x9e\xe8\xe8t\x97\x951_:\xaa_\x01\xc4\xaf5E0\x9b\xd0\xcc'), chr(100) + chr(101) + chr(0b100111 + 0o74) + chr(0b11100 + 0o123) + '\144' + chr(1493 - 1392))(chr(0b1110101) + chr(2754 - 2638) + chr(0b10000 + 0o126) + chr(45) + chr(0b111000)), ehT0Px3KOsy9('\x30' + '\157' + '\x31', 8))
n4ljua2gi1Pr = WOnrfm4dlYcf.add_standard_attention_hparams(n4ljua2gi1Pr)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'^\xf8\xbd\xfc\xef\x13\x1e\x0f\xf3\x90'), '\x64' + '\145' + chr(99) + chr(1476 - 1365) + chr(100) + '\x65')(chr(1267 - 1150) + chr(0b1110100) + chr(102) + chr(45) + chr(851 - 795)))(xafqLlk3kkUe(SXOLrMavuUCe(b'S\xfd\xa0\xc6\xf5<\x0b\x04\xe2\x98\xf4'), '\x64' + chr(0b1010000 + 0o25) + chr(0b1100011) + '\157' + '\144' + chr(101))('\x75' + '\164' + chr(0b11010 + 0o114) + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(5409 - 5309) + chr(7715 - 7614) + chr(0b11 + 0o140) + '\x6f' + '\x64' + chr(0b1011001 + 0o14))(chr(0b110101 + 0o100) + '\x74' + '\146' + '\055' + chr(0b111000)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'^\xf8\xbd\xfc\xef\x13\x1e\x0f\xf3\x90'), chr(100) + '\x65' + '\143' + '\x6f' + chr(100) + '\145')(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b100011 + 0o12) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'[\xf9\xbf\xc2\xf2\x0f\x0b"\xf3\x89\xf3'), chr(0b1100100) + chr(8437 - 8336) + chr(6591 - 6492) + chr(0b11001 + 0o126) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(7030 - 6928) + chr(0b101101) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'^'), chr(0b1100100) + '\145' + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b10011 + 0o142) + chr(11262 - 11146) + '\x66' + '\055' + chr(0b111000)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'^\xf8\xbd\xfc\xef\x13\x1e\x0f\xf3\x90'), chr(100) + chr(101) + chr(197 - 98) + chr(0b101010 + 0o105) + chr(8733 - 8633) + chr(0b1100101))(chr(0b1011100 + 0o31) + chr(116) + '\146' + chr(0b101101) + chr(0b10101 + 0o43)))(xafqLlk3kkUe(SXOLrMavuUCe(b'[\xf9\xbf\xc2\xf2\x0f\x0b"\xf4\x9b'), chr(0b110011 + 0o61) + chr(2405 - 2304) + chr(99) + chr(111) + chr(100) + chr(0b1100101))(chr(5651 - 5534) + '\x74' + chr(0b10011 + 0o123) + chr(0b11001 + 0o24) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'Y\xff'), chr(4483 - 4383) + '\145' + '\x63' + '\157' + chr(0b101101 + 0o67) + chr(0b1100101))(chr(0b1100011 + 0o22) + chr(12110 - 11994) + '\x66' + '\x2d' + chr(0b111000)))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_moe.py
|
transformer_moe_8k
|
def transformer_moe_8k():
"""Hyper parameters specifics for long sequence generation."""
hparams = transformer_moe_base()
hparams.batch_size = 8192
hparams.max_length = 0 # max_length == batch_size
hparams.eval_drop_long_sequences = True
hparams.min_length_bucket = 256 # Avoid cyclic problems for big batches
hparams.default_ff = "sep"
hparams.hidden_size = 1024
return hparams
|
python
|
def transformer_moe_8k():
"""Hyper parameters specifics for long sequence generation."""
hparams = transformer_moe_base()
hparams.batch_size = 8192
hparams.max_length = 0 # max_length == batch_size
hparams.eval_drop_long_sequences = True
hparams.min_length_bucket = 256 # Avoid cyclic problems for big batches
hparams.default_ff = "sep"
hparams.hidden_size = 1024
return hparams
|
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Hyper parameters specifics for long sequence generation.
|
[
"Hyper",
"parameters",
"specifics",
"for",
"long",
"sequence",
"generation",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_moe.py#L315-L327
|
train
|
Hyper parameters specifics for long sequence generation.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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' + '\061' + chr(0b110010) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9256 - 9145) + chr(110 - 61) + chr(0b100010 + 0o24) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b11001 + 0o31) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(947 - 899) + chr(111) + chr(424 - 374) + chr(0b1010 + 0o46) + '\061', 38483 - 38475), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(135 - 80) + chr(49), 0o10), ehT0Px3KOsy9(chr(490 - 442) + '\x6f' + '\x32' + '\x35' + chr(367 - 317), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110110) + chr(0b110101), 62426 - 62418), ehT0Px3KOsy9('\060' + '\157' + chr(333 - 283) + chr(49) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(308 - 260) + chr(11784 - 11673) + '\061' + chr(0b10000 + 0o46) + chr(971 - 917), 8), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b101000 + 0o16) + chr(0b110000 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(2280 - 2232) + chr(5519 - 5408) + chr(0b110010) + chr(0b110001) + '\062', 8040 - 8032), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(52) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(52) + chr(681 - 633), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101101 + 0o6) + chr(0b110000) + chr(0b11011 + 0o25), 0b1000), ehT0Px3KOsy9('\x30' + chr(7333 - 7222) + '\x32' + chr(50) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(5045 - 4934) + '\x31' + chr(0b110111) + chr(52), 42539 - 42531), ehT0Px3KOsy9(chr(1174 - 1126) + chr(10803 - 10692) + chr(1540 - 1490) + chr(54) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + '\061' + chr(0b110001 + 0o3) + chr(629 - 581), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(2819 - 2708) + chr(1454 - 1401) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(6891 - 6780) + chr(51) + '\x32' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110011) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\065' + chr(0b100000 + 0o24), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4906 - 4795) + chr(0b110011) + chr(0b110110) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\066' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100011 + 0o20) + chr(1223 - 1170) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1939 - 1891) + chr(0b1101111) + chr(0b10010 + 0o41) + chr(0b110010) + chr(1887 - 1834), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3232 - 3121) + chr(0b110011) + chr(49) + chr(0b11011 + 0o30), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + chr(52) + chr(49), 13896 - 13888), ehT0Px3KOsy9(chr(48) + chr(111) + '\x34' + '\060', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\067' + '\062', 26683 - 26675), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1100000 + 0o17) + '\x33' + chr(0b1011 + 0o50) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(0b110110) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(7070 - 6959) + chr(675 - 624) + '\x33' + chr(50), 59537 - 59529), ehT0Px3KOsy9(chr(146 - 98) + '\x6f' + chr(50) + '\062' + chr(529 - 476), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + '\x33' + chr(0b101111 + 0o10) + '\x36', 14152 - 14144), ehT0Px3KOsy9('\x30' + chr(3380 - 3269) + chr(0b1000 + 0o52) + chr(1497 - 1445), 35441 - 35433), ehT0Px3KOsy9(chr(1489 - 1441) + chr(9518 - 9407) + chr(464 - 413) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2199 - 2150) + chr(0b110111) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x35', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(470 - 422) + '\x6f' + chr(388 - 335) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(100) + chr(0b1100101) + chr(0b1001101 + 0o26) + chr(0b1101111) + '\x64' + chr(101))(chr(117) + chr(116) + chr(0b1001111 + 0o27) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NEDOknpnkK6Z():
n4ljua2gi1Pr = yfR9zFcofdDv()
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(791 - 743) + '\x6f' + chr(50) + '\x30' + chr(48) + '\x30' + chr(0b11100 + 0o24), ord("\x08"))
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(943 - 832) + chr(0b1111 + 0o41), ord("\x08"))
n4ljua2gi1Pr.n5sZSNr92T7V = ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001), 8)
n4ljua2gi1Pr.lhJm4Z32JlM2 = ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(539 - 487) + chr(0b110000) + '\060', 0o10)
n4ljua2gi1Pr.hswBUaH2luQ0 = xafqLlk3kkUe(SXOLrMavuUCe(b" \x13'"), '\144' + '\x65' + chr(0b1010101 + 0o16) + chr(111) + chr(8545 - 8445) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + chr(0b101101) + '\x38')
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9('\060' + chr(9674 - 9563) + chr(50) + '\060' + chr(0b110000) + chr(0b10111 + 0o31), 49728 - 49720)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_moe.py
|
transformer_moe_2k
|
def transformer_moe_2k():
"""Base transformers model with moe.
Will have the following architecture:
* No encoder.
* Layer 0: a - sep (self-attention - unmasked separable convolutions)
* Layer 1: a - sep
* Layer 2: a - sep
* Layer 3: a - sep
* Layer 4: a - sep
* Decoder architecture:
* Layer 0: a - a - sepm (self-attention - enco/deco-attention - masked sep)
* Layer 1: a - a - sepm
* Layer 2: a - a - moe (mixture of expert layers in the middle)
* Layer 3: a - a - sepm
* Layer 4: a - a - sepm
Returns:
hparams
"""
hparams = transformer_moe_8k()
hparams.batch_size = 2048
hparams.default_ff = "sep"
# hparams.layer_types contains the network architecture:
encoder_archi = "a/a/a/a/a"
decoder_archi = "a-sepm/a-sepm/a-moe/a-sepm/a-sepm"
hparams.layer_types = "{}#{}".format(encoder_archi, decoder_archi)
return hparams
|
python
|
def transformer_moe_2k():
"""Base transformers model with moe.
Will have the following architecture:
* No encoder.
* Layer 0: a - sep (self-attention - unmasked separable convolutions)
* Layer 1: a - sep
* Layer 2: a - sep
* Layer 3: a - sep
* Layer 4: a - sep
* Decoder architecture:
* Layer 0: a - a - sepm (self-attention - enco/deco-attention - masked sep)
* Layer 1: a - a - sepm
* Layer 2: a - a - moe (mixture of expert layers in the middle)
* Layer 3: a - a - sepm
* Layer 4: a - a - sepm
Returns:
hparams
"""
hparams = transformer_moe_8k()
hparams.batch_size = 2048
hparams.default_ff = "sep"
# hparams.layer_types contains the network architecture:
encoder_archi = "a/a/a/a/a"
decoder_archi = "a-sepm/a-sepm/a-moe/a-sepm/a-sepm"
hparams.layer_types = "{}#{}".format(encoder_archi, decoder_archi)
return hparams
|
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"\"{}#{}\"",
".",
"format",
"(",
"encoder_archi",
",",
"decoder_archi",
")",
"return",
"hparams"
] |
Base transformers model with moe.
Will have the following architecture:
* No encoder.
* Layer 0: a - sep (self-attention - unmasked separable convolutions)
* Layer 1: a - sep
* Layer 2: a - sep
* Layer 3: a - sep
* Layer 4: a - sep
* Decoder architecture:
* Layer 0: a - a - sepm (self-attention - enco/deco-attention - masked sep)
* Layer 1: a - a - sepm
* Layer 2: a - a - moe (mixture of expert layers in the middle)
* Layer 3: a - a - sepm
* Layer 4: a - a - sepm
Returns:
hparams
|
[
"Base",
"transformers",
"model",
"with",
"moe",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_moe.py#L365-L395
|
train
|
Base transformers model with moe.
Will have the following architecture.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b1001111 + 0o40) + '\x31' + chr(0b110000) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\x32' + chr(0b110010) + '\x36', 46481 - 46473), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b110011 + 0o3) + '\x32', 59489 - 59481), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(55) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\x37' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + chr(0b110010 + 0o2) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(54) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(0b10101 + 0o36) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(461 - 412) + '\062' + chr(0b110001), 46362 - 46354), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110011) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1146 - 1035) + chr(49) + '\x32' + '\063', 0b1000), ehT0Px3KOsy9(chr(693 - 645) + chr(111) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + '\x31' + chr(0b1000 + 0o57) + '\063', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b110100) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(54) + chr(0b11010 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(1340 - 1292) + chr(0b11010 + 0o125) + chr(0b10 + 0o60) + chr(52) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10000 + 0o42) + chr(55), 55617 - 55609), ehT0Px3KOsy9('\x30' + chr(0b1011101 + 0o22) + '\x33' + chr(0b10110 + 0o36) + chr(0b10100 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(4941 - 4830) + chr(237 - 187) + chr(2678 - 2626) + chr(126 - 72), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1736 - 1682) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + chr(0b100001 + 0o20) + '\065' + chr(2344 - 2291), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b1110 + 0o50) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(0b10100 + 0o37) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(410 - 362) + chr(0b10001 + 0o136) + chr(151 - 100) + chr(54) + chr(0b1100 + 0o44), 13125 - 13117), ehT0Px3KOsy9(chr(1904 - 1856) + chr(0b10100 + 0o133) + chr(51) + '\066', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100100 + 0o15) + '\063' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(2519 - 2468) + '\061', 8), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b110110) + chr(0b1111 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(279 - 230) + chr(0b110100) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(346 - 297) + '\064' + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b10011 + 0o40) + chr(0b100111 + 0o13), 51958 - 51950), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b111111 + 0o60) + '\x33' + '\060' + chr(0b10100 + 0o41), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\x32' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + chr(0b10001 + 0o42) + '\067' + '\064', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(0b110001) + '\064' + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1000 + 0o51) + chr(2082 - 2032) + chr(0b110001), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(49) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(274 - 226) + '\x6f' + '\x33' + chr(0b110011) + '\x35', 49434 - 49426), ehT0Px3KOsy9('\060' + chr(2977 - 2866) + chr(0b110011), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b101101 + 0o102) + '\065' + chr(0b101111 + 0o1), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'k'), '\x64' + chr(101) + '\x63' + '\x6f' + chr(0b1010001 + 0o23) + chr(0b1100101))(chr(0b1110101) + '\x74' + '\x66' + chr(45) + chr(3086 - 3030)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GY8TIXMMnuBF():
n4ljua2gi1Pr = NEDOknpnkK6Z()
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(520 - 472) + '\x6f' + chr(52) + chr(48) + chr(0b101010 + 0o6) + '\x30', 0o10)
n4ljua2gi1Pr.hswBUaH2luQ0 = xafqLlk3kkUe(SXOLrMavuUCe(b'6\xf3\x02'), chr(9293 - 9193) + chr(101) + '\143' + chr(2504 - 2393) + chr(100) + chr(0b1011 + 0o132))('\165' + '\x74' + chr(8204 - 8102) + '\x2d' + chr(0b110001 + 0o7))
jYpgYoeGw9DH = xafqLlk3kkUe(SXOLrMavuUCe(b'$\xb9\x13\xd0\x9b\x0fP10'), chr(6676 - 6576) + '\145' + chr(99) + chr(1103 - 992) + chr(0b111101 + 0o47) + chr(0b10011 + 0o122))(chr(117) + '\164' + '\146' + '\x2d' + '\x38')
o2OclGjNcjN0 = xafqLlk3kkUe(SXOLrMavuUCe(b'$\xbb\x01\x9a\x8aM\x1e\x7f|\xac6u\x16\x8bR\x8az\x8c\xc3\x1a\x0c\xdbj\x95n3=x\x9b\x14\x06*\xa8'), '\x64' + chr(0b1100101) + chr(0b1010100 + 0o17) + chr(6421 - 6310) + chr(0b1000111 + 0o35) + chr(101))('\165' + '\164' + chr(0b111111 + 0o47) + chr(1471 - 1426) + chr(56))
n4ljua2gi1Pr.WIsPk5v9ylnD = xafqLlk3kkUe(SXOLrMavuUCe(b'>\xebQ\x84\x87'), chr(2872 - 2772) + '\145' + chr(4320 - 4221) + chr(111) + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(5271 - 5169) + '\055' + chr(2324 - 2268)).V4roHaS3Ppej(jYpgYoeGw9DH, o2OclGjNcjN0)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_moe.py
|
transformer_moe_prepend_8k
|
def transformer_moe_prepend_8k():
"""Model which formulate a seq2seq problem as language modeling."""
hparams = transformer_moe_8k()
hparams.prepend_mode = "prepend_inputs_masked_attention"
hparams.eval_drop_long_sequences = False
hparams.max_input_seq_length = 7500
hparams.default_ff = "sepm"
hparams.layer_types = "locm/redm/locm-moe/redm/locm"
hparams.moe_num_experts = 256
return hparams
|
python
|
def transformer_moe_prepend_8k():
"""Model which formulate a seq2seq problem as language modeling."""
hparams = transformer_moe_8k()
hparams.prepend_mode = "prepend_inputs_masked_attention"
hparams.eval_drop_long_sequences = False
hparams.max_input_seq_length = 7500
hparams.default_ff = "sepm"
hparams.layer_types = "locm/redm/locm-moe/redm/locm"
hparams.moe_num_experts = 256
return hparams
|
[
"def",
"transformer_moe_prepend_8k",
"(",
")",
":",
"hparams",
"=",
"transformer_moe_8k",
"(",
")",
"hparams",
".",
"prepend_mode",
"=",
"\"prepend_inputs_masked_attention\"",
"hparams",
".",
"eval_drop_long_sequences",
"=",
"False",
"hparams",
".",
"max_input_seq_length",
"=",
"7500",
"hparams",
".",
"default_ff",
"=",
"\"sepm\"",
"hparams",
".",
"layer_types",
"=",
"\"locm/redm/locm-moe/redm/locm\"",
"hparams",
".",
"moe_num_experts",
"=",
"256",
"return",
"hparams"
] |
Model which formulate a seq2seq problem as language modeling.
|
[
"Model",
"which",
"formulate",
"a",
"seq2seq",
"problem",
"as",
"language",
"modeling",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_moe.py#L409-L418
|
train
|
Model which formulate a seq2seq problem as language modeling.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(7207 - 7096) + '\x32' + chr(0b110101), 16006 - 15998), ehT0Px3KOsy9('\060' + chr(111) + chr(1904 - 1855) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9699 - 9588) + '\066' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(2266 - 2217) + chr(52) + chr(0b10011 + 0o36), 0b1000), ehT0Px3KOsy9('\x30' + chr(1040 - 929) + chr(0b100111 + 0o12) + '\067' + chr(49), 15309 - 15301), ehT0Px3KOsy9('\060' + chr(2627 - 2516) + chr(641 - 590) + chr(0b110101) + '\x31', 0o10), ehT0Px3KOsy9(chr(653 - 605) + chr(0b101100 + 0o103) + chr(0b110001) + '\060' + '\062', 15135 - 15127), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(49) + chr(0b101 + 0o57) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\x37' + chr(859 - 804), 26269 - 26261), ehT0Px3KOsy9('\x30' + chr(1343 - 1232) + chr(2333 - 2284) + chr(0b101000 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100111 + 0o12) + chr(50) + chr(256 - 202), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(0b0 + 0o61) + chr(0b110101) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(50) + chr(966 - 911) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\062' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1534 - 1483) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111111 + 0o60) + chr(0b110001) + chr(0b10000 + 0o44) + '\x33', 8), ehT0Px3KOsy9('\x30' + chr(7057 - 6946) + chr(0b110001) + chr(54) + chr(462 - 410), 0b1000), ehT0Px3KOsy9(chr(2223 - 2175) + '\x6f' + chr(0b110101) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(94 - 40) + chr(1505 - 1456), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(50) + chr(1909 - 1859), 54137 - 54129), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + '\x32' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(49) + '\x32' + chr(0b101110 + 0o7), 8), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b11000 + 0o37) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(1317 - 1262) + chr(0b101 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(0b1000 + 0o53) + chr(54) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(2286 - 2238) + chr(0b1101111) + chr(427 - 378) + chr(708 - 658) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(2256 - 2207) + chr(0b10111 + 0o33), 0b1000), ehT0Px3KOsy9(chr(1527 - 1479) + chr(111) + chr(49) + chr(0b110010) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(0b110001) + '\x35' + chr(0b11001 + 0o27), 8), ehT0Px3KOsy9(chr(1176 - 1128) + '\157' + '\062' + '\x37' + chr(0b101110 + 0o10), 12950 - 12942), ehT0Px3KOsy9(chr(186 - 138) + chr(6829 - 6718) + chr(0b110110) + chr(52), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\x35' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(2043 - 1995) + chr(0b1100110 + 0o11) + '\061' + chr(0b11000 + 0o33) + '\x35', 51145 - 51137), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + chr(0b110010) + chr(0b110001) + chr(256 - 202), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(0b11 + 0o56) + '\061' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b11101 + 0o122) + chr(0b101111 + 0o3) + chr(0b110101) + '\x37', 0b1000), ehT0Px3KOsy9(chr(1595 - 1547) + chr(0b1101111) + '\x32', 10949 - 10941), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + '\x32' + '\x34', 917 - 909), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\060' + chr(0b110101), 30698 - 30690)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(0b11110 + 0o27) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b')'), chr(100) + chr(183 - 82) + chr(0b1100011) + '\157' + '\144' + '\x65')(chr(0b1100000 + 0o25) + chr(0b100101 + 0o117) + chr(0b1011001 + 0o15) + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def auC7hsh2KfnW():
n4ljua2gi1Pr = NEDOknpnkK6Z()
n4ljua2gi1Pr.qr_7laJirAn2 = xafqLlk3kkUe(SXOLrMavuUCe(b'wgi@\x04\x17\x8d\x1d\n\x11}#\x1c\xce\x8as\x02\x07C\x94\xb6\n4\xce\x89\x92=>;\x07\xd0'), chr(0b1100100) + chr(0b10010 + 0o123) + chr(6607 - 6508) + '\157' + chr(2351 - 2251) + chr(0b1100101))(chr(117) + chr(0b11 + 0o161) + chr(4461 - 4359) + chr(0b11010 + 0o23) + chr(692 - 636))
n4ljua2gi1Pr.n5sZSNr92T7V = ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110 + 0o52), 23529 - 23521)
n4ljua2gi1Pr.xa50HGLsAIaS = ehT0Px3KOsy9(chr(1429 - 1381) + chr(9228 - 9117) + chr(96 - 47) + chr(0b101111 + 0o7) + chr(0b110101) + chr(49) + '\x34', 14855 - 14847)
n4ljua2gi1Pr.hswBUaH2luQ0 = xafqLlk3kkUe(SXOLrMavuUCe(b'tp|]'), chr(2097 - 1997) + chr(0b1100101) + chr(7595 - 7496) + chr(0b1101111) + '\144' + chr(7756 - 7655))(chr(117) + '\x74' + '\146' + chr(45) + chr(56))
n4ljua2gi1Pr.WIsPk5v9ylnD = xafqLlk3kkUe(SXOLrMavuUCe(b"kzo]N\x0b\x8c&\x0ePa9\x0b\xd0\xf8s\x0c\x11\x07\x83\xb718\x95\x91\x980'"), chr(0b1100001 + 0o3) + chr(0b10010 + 0o123) + chr(0b1100011) + chr(1666 - 1555) + chr(4479 - 4379) + chr(0b1100101))(chr(117) + chr(116) + '\x66' + '\055' + '\070')
n4ljua2gi1Pr.r99iQzD4Y8i3 = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110100) + chr(0b110000) + chr(0b110000), 47359 - 47351)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/revnet.py
|
f
|
def f(x, depth1, depth2, dim='2d', first_batch_norm=True, stride=1,
training=True, bottleneck=True, padding='SAME'):
"""Applies residual function for RevNet.
Args:
x: input tensor
depth1: Number of output channels for the first and second conv layers.
depth2: Number of output channels for the third conv layer.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
first_batch_norm: Whether to keep the first batch norm layer or not.
Typically used in the first RevNet block.
stride: Stride for the first conv filter. Note that this particular
RevNet architecture only varies the stride for the first conv
filter. The stride for the second conv filter is always set to 1.
training: True for train phase, False for eval phase.
bottleneck: If true, apply bottleneck 1x1 down/up sampling.
padding: Padding for each conv layer.
Returns:
Output tensor after applying residual function for RevNet.
"""
conv = CONFIG[dim]['conv']
with tf.variable_scope('f', reuse=tf.AUTO_REUSE):
if first_batch_norm:
net = tf.layers.batch_normalization(x, training=training)
net = tf.nn.relu(net)
else:
net = x
if bottleneck:
net = conv(net, depth1, 1, strides=stride,
padding=padding, activation=None)
net = tf.layers.batch_normalization(net, training=training)
net = tf.nn.relu(net)
net = conv(net, depth1, 3, strides=1,
padding=padding, activation=None)
net = tf.layers.batch_normalization(net, training=training)
net = tf.nn.relu(net)
net = conv(net, depth2, 1, strides=1,
padding=padding, activation=None)
else:
net = conv(net, depth2, 3, strides=stride,
padding=padding, activation=None)
net = tf.layers.batch_normalization(x, training=training)
net = tf.nn.relu(net)
net = conv(net, depth2, 3, strides=stride,
padding=padding, activation=None)
return net
|
python
|
def f(x, depth1, depth2, dim='2d', first_batch_norm=True, stride=1,
training=True, bottleneck=True, padding='SAME'):
"""Applies residual function for RevNet.
Args:
x: input tensor
depth1: Number of output channels for the first and second conv layers.
depth2: Number of output channels for the third conv layer.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
first_batch_norm: Whether to keep the first batch norm layer or not.
Typically used in the first RevNet block.
stride: Stride for the first conv filter. Note that this particular
RevNet architecture only varies the stride for the first conv
filter. The stride for the second conv filter is always set to 1.
training: True for train phase, False for eval phase.
bottleneck: If true, apply bottleneck 1x1 down/up sampling.
padding: Padding for each conv layer.
Returns:
Output tensor after applying residual function for RevNet.
"""
conv = CONFIG[dim]['conv']
with tf.variable_scope('f', reuse=tf.AUTO_REUSE):
if first_batch_norm:
net = tf.layers.batch_normalization(x, training=training)
net = tf.nn.relu(net)
else:
net = x
if bottleneck:
net = conv(net, depth1, 1, strides=stride,
padding=padding, activation=None)
net = tf.layers.batch_normalization(net, training=training)
net = tf.nn.relu(net)
net = conv(net, depth1, 3, strides=1,
padding=padding, activation=None)
net = tf.layers.batch_normalization(net, training=training)
net = tf.nn.relu(net)
net = conv(net, depth2, 1, strides=1,
padding=padding, activation=None)
else:
net = conv(net, depth2, 3, strides=stride,
padding=padding, activation=None)
net = tf.layers.batch_normalization(x, training=training)
net = tf.nn.relu(net)
net = conv(net, depth2, 3, strides=stride,
padding=padding, activation=None)
return net
|
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] |
Applies residual function for RevNet.
Args:
x: input tensor
depth1: Number of output channels for the first and second conv layers.
depth2: Number of output channels for the third conv layer.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
first_batch_norm: Whether to keep the first batch norm layer or not.
Typically used in the first RevNet block.
stride: Stride for the first conv filter. Note that this particular
RevNet architecture only varies the stride for the first conv
filter. The stride for the second conv filter is always set to 1.
training: True for train phase, False for eval phase.
bottleneck: If true, apply bottleneck 1x1 down/up sampling.
padding: Padding for each conv layer.
Returns:
Output tensor after applying residual function for RevNet.
|
[
"Applies",
"residual",
"function",
"for",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/revnet.py#L72-L122
|
train
|
Applies residual function for RevNet.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\x32' + chr(0b101001 + 0o12), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b110001) + '\063' + chr(1318 - 1263), 0o10), ehT0Px3KOsy9(chr(1748 - 1700) + chr(0b1101111) + chr(50) + chr(0b110011) + chr(0b101101 + 0o6), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(50) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(1486 - 1438), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\064' + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(2694 - 2583) + chr(51) + chr(116 - 68) + chr(0b110001), 16551 - 16543), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2433 - 2383) + '\062' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100011 + 0o20) + chr(0b110111) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + '\067' + '\061', 13516 - 13508), ehT0Px3KOsy9('\060' + chr(8627 - 8516) + chr(0b110011) + chr(51) + chr(2043 - 1990), 8687 - 8679), ehT0Px3KOsy9('\x30' + chr(0b1000101 + 0o52) + '\062' + '\x31' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7149 - 7038) + chr(0b110001) + chr(0b101111 + 0o1) + chr(49), 31764 - 31756), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + '\x32' + '\060' + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(55) + chr(662 - 609), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6096 - 5985) + chr(0b10101 + 0o37) + chr(0b101001 + 0o16), 5296 - 5288), ehT0Px3KOsy9('\x30' + chr(0b10110 + 0o131) + chr(0b110011) + chr(0b110010) + chr(0b110000 + 0o6), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1462 - 1413) + chr(2427 - 2374) + chr(234 - 185), 0b1000), ehT0Px3KOsy9(chr(1578 - 1530) + chr(9663 - 9552) + chr(2017 - 1966) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + '\067' + '\067', 30266 - 30258), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\x31' + chr(0b110000) + chr(0b110000), 59886 - 59878), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(1132 - 1021) + chr(0b110100) + chr(1543 - 1489), ord("\x08")), ehT0Px3KOsy9(chr(1512 - 1464) + chr(0b1101111) + '\062' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(2732 - 2679) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x37' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + '\x31' + '\x35' + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\060' + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110111) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(624 - 576) + chr(0b101001 + 0o106) + '\x32' + chr(52) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(53) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\067' + '\063', 8), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + chr(1200 - 1149) + chr(0b11000 + 0o32), 25926 - 25918), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b110010) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b10000 + 0o43) + '\065', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\060' + chr(0b110000), 49553 - 49545), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(1543 - 1494) + chr(0b110110) + '\064', 0b1000), ehT0Px3KOsy9(chr(1078 - 1030) + chr(0b1001001 + 0o46) + chr(0b110010) + chr(2282 - 2229) + chr(1036 - 988), 0o10), ehT0Px3KOsy9('\060' + chr(12100 - 11989) + chr(0b1100 + 0o47) + '\x30' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10510 - 10399) + chr(364 - 314) + chr(140 - 86) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(539 - 491) + chr(111) + chr(0b100001 + 0o20) + '\x37' + '\x31', 50444 - 50436)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(90 - 37) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(1574 - 1474) + chr(1406 - 1305) + chr(0b1100011) + '\x6f' + chr(100) + chr(101))('\165' + chr(0b1110100) + chr(4314 - 4212) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def EGyt1xfPT1P6(OeWW0F1dBPRQ, J1vgggrSgjxi, sjhX7ukdlpki, Nl_JhL3qUwSN=xafqLlk3kkUe(SXOLrMavuUCe(b'a;'), chr(0b1100100) + chr(1368 - 1267) + chr(5931 - 5832) + chr(0b1000011 + 0o54) + chr(100) + chr(101))(chr(0b1100010 + 0o23) + '\x74' + chr(2812 - 2710) + chr(0b101101) + chr(0b10100 + 0o44)), RGktndCUX5jn=ehT0Px3KOsy9(chr(270 - 222) + chr(0b1101111) + chr(0b10000 + 0o41), 0b1000), VKQ5wcD30goF=ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + '\x31', 8), H15mhcYcioqz=ehT0Px3KOsy9(chr(536 - 488) + '\x6f' + chr(64 - 15), 8), Hax21lk7t3Y8=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49), 8), TFLseEYASEKG=xafqLlk3kkUe(SXOLrMavuUCe(b'\x00\x1e\xd6\x12'), chr(1782 - 1682) + chr(0b100011 + 0o102) + chr(99) + '\x6f' + '\x64' + '\145')(chr(0b1100 + 0o151) + chr(116) + '\146' + chr(1884 - 1839) + chr(0b1100 + 0o54))):
m1sWr00SVpVY = MQv1TNKotpAa[Nl_JhL3qUwSN][xafqLlk3kkUe(SXOLrMavuUCe(b'00\xf5!'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1000 + 0o134) + chr(2722 - 2621))(chr(0b1110101) + '\164' + chr(1869 - 1767) + chr(0b101101) + chr(0b111000 + 0o0))]
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'%>\xe9>aF\xad\xf3\xa1J\xbe\xe61\xe2'), '\144' + chr(0b1100101) + '\143' + chr(111) + '\x64' + chr(8122 - 8021))('\x75' + chr(11767 - 11651) + '\146' + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'5'), '\144' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1100100) + chr(6840 - 6739))(chr(0b1110101) + chr(0b1110100) + chr(0b1011101 + 0o11) + '\055' + '\070'), reuse=xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12\n\xcf\x18_v\x84\xc3\xad|'), chr(100) + '\145' + chr(7727 - 7628) + chr(0b1001111 + 0o40) + chr(0b10001 + 0o123) + '\145')(chr(0b1101100 + 0o11) + '\164' + chr(0b1100110) + '\055' + '\070'))):
if RGktndCUX5jn:
DyzboKL9cczb = IDJ2eXGCBCDu.layers.batch_normalization(OeWW0F1dBPRQ, training=H15mhcYcioqz)
DyzboKL9cczb = IDJ2eXGCBCDu.nn.relu(DyzboKL9cczb)
else:
DyzboKL9cczb = OeWW0F1dBPRQ
if Hax21lk7t3Y8:
DyzboKL9cczb = m1sWr00SVpVY(DyzboKL9cczb, J1vgggrSgjxi, ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b110001), 8), strides=VKQ5wcD30goF, padding=TFLseEYASEKG, activation=None)
DyzboKL9cczb = IDJ2eXGCBCDu.layers.batch_normalization(DyzboKL9cczb, training=H15mhcYcioqz)
DyzboKL9cczb = IDJ2eXGCBCDu.nn.relu(DyzboKL9cczb)
DyzboKL9cczb = m1sWr00SVpVY(DyzboKL9cczb, J1vgggrSgjxi, ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b111 + 0o54), ord("\x08")), strides=ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31', 8), padding=TFLseEYASEKG, activation=None)
DyzboKL9cczb = IDJ2eXGCBCDu.layers.batch_normalization(DyzboKL9cczb, training=H15mhcYcioqz)
DyzboKL9cczb = IDJ2eXGCBCDu.nn.relu(DyzboKL9cczb)
DyzboKL9cczb = m1sWr00SVpVY(DyzboKL9cczb, sjhX7ukdlpki, ehT0Px3KOsy9('\060' + chr(10482 - 10371) + '\x31', 8), strides=ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 8), padding=TFLseEYASEKG, activation=None)
else:
DyzboKL9cczb = m1sWr00SVpVY(DyzboKL9cczb, sjhX7ukdlpki, ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(51), 8), strides=VKQ5wcD30goF, padding=TFLseEYASEKG, activation=None)
DyzboKL9cczb = IDJ2eXGCBCDu.layers.batch_normalization(OeWW0F1dBPRQ, training=H15mhcYcioqz)
DyzboKL9cczb = IDJ2eXGCBCDu.nn.relu(DyzboKL9cczb)
DyzboKL9cczb = m1sWr00SVpVY(DyzboKL9cczb, sjhX7ukdlpki, ehT0Px3KOsy9('\060' + chr(111) + chr(51), 8), strides=VKQ5wcD30goF, padding=TFLseEYASEKG, activation=None)
return DyzboKL9cczb
|
tensorflow/tensor2tensor
|
tensor2tensor/models/revnet.py
|
downsample_bottleneck
|
def downsample_bottleneck(x, output_channels, dim='2d', stride=1, scope='h'):
"""Downsamples 'x' by `stride` using a 1x1 convolution filter.
Args:
x: input tensor of size [N, H, W, C]
output_channels: Desired number of output channels.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
stride: What stride to use. Usually 1 or 2.
scope: Optional variable scope.
Returns:
A downsampled tensor of size [N, H/2, W/2, output_channels] if stride
is 2, else returns a tensor of size [N, H, W, output_channels] if
stride is 1.
"""
conv = CONFIG[dim]['conv']
with tf.variable_scope(scope):
x = conv(x, output_channels, 1, strides=stride, padding='SAME',
activation=None)
return x
|
python
|
def downsample_bottleneck(x, output_channels, dim='2d', stride=1, scope='h'):
"""Downsamples 'x' by `stride` using a 1x1 convolution filter.
Args:
x: input tensor of size [N, H, W, C]
output_channels: Desired number of output channels.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
stride: What stride to use. Usually 1 or 2.
scope: Optional variable scope.
Returns:
A downsampled tensor of size [N, H/2, W/2, output_channels] if stride
is 2, else returns a tensor of size [N, H, W, output_channels] if
stride is 1.
"""
conv = CONFIG[dim]['conv']
with tf.variable_scope(scope):
x = conv(x, output_channels, 1, strides=stride, padding='SAME',
activation=None)
return x
|
[
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] |
Downsamples 'x' by `stride` using a 1x1 convolution filter.
Args:
x: input tensor of size [N, H, W, C]
output_channels: Desired number of output channels.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
stride: What stride to use. Usually 1 or 2.
scope: Optional variable scope.
Returns:
A downsampled tensor of size [N, H/2, W/2, output_channels] if stride
is 2, else returns a tensor of size [N, H, W, output_channels] if
stride is 1.
|
[
"Downsamples",
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"by",
"stride",
"using",
"a",
"1x1",
"convolution",
"filter",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/revnet.py#L125-L144
|
train
|
Downsamples x by stride using a 1x1 convolution filter.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1756 - 1708) + chr(111) + chr(0b11011 + 0o26) + '\x32' + chr(54), 31933 - 31925), ehT0Px3KOsy9('\060' + chr(0b1001110 + 0o41) + chr(51) + chr(0b110 + 0o53) + chr(2574 - 2523), 0o10), ehT0Px3KOsy9(chr(882 - 834) + '\x6f' + chr(51) + chr(0b101100 + 0o12) + chr(2218 - 2164), 45594 - 45586), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(1203 - 1092) + '\061' + '\064' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1139 - 1091) + chr(0b1101111) + chr(0b101000 + 0o13) + chr(165 - 113) + chr(0b100001 + 0o26), 40037 - 40029), ehT0Px3KOsy9('\060' + chr(3253 - 3142) + chr(0b1101 + 0o46) + chr(52) + chr(1718 - 1665), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11101 + 0o23), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\061' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(51) + chr(0b11100 + 0o31), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(0b110000 + 0o3) + chr(55) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1276 - 1225) + chr(53) + chr(601 - 546), ord("\x08")), ehT0Px3KOsy9(chr(602 - 554) + chr(0b1101111) + chr(2088 - 2037) + chr(2146 - 2091) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(514 - 460) + '\067', 16797 - 16789), ehT0Px3KOsy9('\060' + '\x6f' + '\x36' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x32' + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + chr(1673 - 1619) + '\062', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + '\x33' + '\062' + '\x32', 52475 - 52467), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + '\061' + chr(1739 - 1684) + chr(1321 - 1269), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1960 - 1910) + chr(0b110011) + chr(700 - 651), 13548 - 13540), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b110101) + '\x32', 0b1000), ehT0Px3KOsy9(chr(386 - 338) + '\x6f' + '\x31' + chr(53) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(3416 - 3305) + chr(0b110010) + '\x32' + chr(0b11011 + 0o32), 58315 - 58307), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110010) + chr(0b110 + 0o54), 8), ehT0Px3KOsy9(chr(48) + chr(6007 - 5896) + chr(0b10111 + 0o32) + chr(53) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(0b110000 + 0o2) + '\x37' + '\x31', 21926 - 21918), ehT0Px3KOsy9('\x30' + chr(9227 - 9116) + '\067' + chr(1655 - 1607), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + '\x31' + chr(0b110001) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011 + 0o0) + chr(2003 - 1953) + chr(1121 - 1066), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\x31' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + '\x32' + '\067' + chr(2075 - 2026), 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(51) + chr(53) + '\061', 0o10), ehT0Px3KOsy9(chr(1338 - 1290) + chr(0b1101111) + chr(0b101011 + 0o12) + chr(2103 - 2053), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110 + 0o57) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100001 + 0o20) + chr(2311 - 2258) + chr(395 - 343), 19132 - 19124), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(50) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(4837 - 4726) + chr(0b110011) + chr(52) + '\x35', 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(58 - 9) + '\061' + chr(0b100000 + 0o26), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b101100 + 0o103) + chr(0b110011) + '\x31' + chr(1603 - 1549), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b101111 + 0o3) + chr(0b100010 + 0o22), 8), ehT0Px3KOsy9(chr(131 - 83) + '\157' + '\x36' + chr(55), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(0b10101 + 0o40) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'x'), chr(0b1010001 + 0o23) + '\x65' + chr(9566 - 9467) + chr(0b1101111) + '\144' + chr(0b1100101))('\165' + chr(116) + chr(7842 - 7740) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nmOdLxvRQYnI(OeWW0F1dBPRQ, jAT42bk66WvZ, Nl_JhL3qUwSN=xafqLlk3kkUe(SXOLrMavuUCe(b'd\xaf'), chr(265 - 165) + chr(7143 - 7042) + '\x63' + chr(2479 - 2368) + '\x64' + chr(668 - 567))(chr(0b10 + 0o163) + chr(12547 - 12431) + chr(907 - 805) + chr(0b100 + 0o51) + chr(2821 - 2765)), VKQ5wcD30goF=ehT0Px3KOsy9(chr(737 - 689) + '\x6f' + '\x31', ord("\x08")), CJBHNoj4zKoT=xafqLlk3kkUe(SXOLrMavuUCe(b'>'), '\x64' + chr(0b1100101) + '\143' + '\157' + '\x64' + chr(101))('\165' + '\x74' + chr(0b111110 + 0o50) + chr(45) + chr(0b111000))):
m1sWr00SVpVY = MQv1TNKotpAa[Nl_JhL3qUwSN][xafqLlk3kkUe(SXOLrMavuUCe(b'5\xa4\x98\x13'), '\x64' + chr(101) + chr(99) + chr(0b1101111) + '\144' + chr(1241 - 1140))(chr(4654 - 4537) + chr(116) + chr(102) + chr(45) + chr(2213 - 2157))]
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b' \xaa\x84\x0c\x86\x87l\xe8\x02\x8d\x8c\x97\x87Q'), chr(100) + '\x65' + chr(0b1100011) + chr(6531 - 6420) + chr(0b1000010 + 0o42) + '\145')(chr(0b1110101) + chr(0b111010 + 0o72) + '\146' + chr(0b101 + 0o50) + chr(0b11 + 0o65)))(CJBHNoj4zKoT):
OeWW0F1dBPRQ = m1sWr00SVpVY(OeWW0F1dBPRQ, jAT42bk66WvZ, ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 8), strides=VKQ5wcD30goF, padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\x8a\xbb '), chr(0b1100100) + '\145' + '\143' + chr(111) + '\x64' + chr(0b110000 + 0o65))(chr(13239 - 13122) + chr(116) + '\146' + '\x2d' + chr(56)), activation=None)
return OeWW0F1dBPRQ
|
tensorflow/tensor2tensor
|
tensor2tensor/models/revnet.py
|
downsample_residual
|
def downsample_residual(x, output_channels, dim='2d', stride=1, scope='h'):
"""Downsamples 'x' by `stride` using average pooling.
Args:
x: input tensor of size [N, H, W, C]
output_channels: Desired number of output channels.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
stride: What stride to use. Usually 1 or 2.
scope: Optional variable scope.
Returns:
A downsampled tensor of size [N, H/2, W/2, output_channels] if stride
is 2, else returns a tensor of size [N, H, W, output_channels] if
stride is 1.
"""
with tf.variable_scope(scope):
if stride > 1:
avg_pool = CONFIG[dim]['avg_pool']
x = avg_pool(x,
pool_size=(stride, stride),
strides=(stride, stride),
padding='VALID')
input_channels = tf.shape(x)[3]
diff = output_channels - input_channels
x = tf.pad(
x, [[0, 0], [0, 0], [0, 0],
[diff // 2, diff // 2]])
return x
|
python
|
def downsample_residual(x, output_channels, dim='2d', stride=1, scope='h'):
"""Downsamples 'x' by `stride` using average pooling.
Args:
x: input tensor of size [N, H, W, C]
output_channels: Desired number of output channels.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
stride: What stride to use. Usually 1 or 2.
scope: Optional variable scope.
Returns:
A downsampled tensor of size [N, H/2, W/2, output_channels] if stride
is 2, else returns a tensor of size [N, H, W, output_channels] if
stride is 1.
"""
with tf.variable_scope(scope):
if stride > 1:
avg_pool = CONFIG[dim]['avg_pool']
x = avg_pool(x,
pool_size=(stride, stride),
strides=(stride, stride),
padding='VALID')
input_channels = tf.shape(x)[3]
diff = output_channels - input_channels
x = tf.pad(
x, [[0, 0], [0, 0], [0, 0],
[diff // 2, diff // 2]])
return x
|
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] |
Downsamples 'x' by `stride` using average pooling.
Args:
x: input tensor of size [N, H, W, C]
output_channels: Desired number of output channels.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
stride: What stride to use. Usually 1 or 2.
scope: Optional variable scope.
Returns:
A downsampled tensor of size [N, H/2, W/2, output_channels] if stride
is 2, else returns a tensor of size [N, H, W, output_channels] if
stride is 1.
|
[
"Downsamples",
"x",
"by",
"stride",
"using",
"average",
"pooling",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/revnet.py#L147-L175
|
train
|
Downsamples x by stride using average pooling.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\x37' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110110) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(117 - 69) + chr(111) + chr(0b101100 + 0o5) + chr(48) + chr(53), 698 - 690), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(3440 - 3329) + chr(0b110001) + chr(2133 - 2082) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001111 + 0o40) + chr(561 - 512) + chr(1852 - 1798) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(458 - 410) + chr(0b1101111) + chr(650 - 600) + chr(53) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(718 - 670) + chr(0b1101111) + chr(0b110001) + chr(967 - 917) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b101011 + 0o11) + chr(0b10010 + 0o43), 0o10), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + '\x33' + chr(0b101101 + 0o10), 35120 - 35112), ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + chr(0b110001) + chr(302 - 249) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(1006 - 895) + chr(1315 - 1262) + chr(0b1100 + 0o52), 0b1000), ehT0Px3KOsy9(chr(1024 - 976) + chr(1382 - 1271) + chr(0b110111) + chr(0b101000 + 0o16), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111100 + 0o63) + chr(1668 - 1618) + chr(511 - 461), 0b1000), ehT0Px3KOsy9('\060' + chr(9136 - 9025) + chr(0b110001) + chr(0b110010) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(1661 - 1609) + chr(0b11000 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(532 - 484) + '\157' + chr(49) + '\x35' + chr(0b100 + 0o62), 46972 - 46964), ehT0Px3KOsy9(chr(48) + '\157' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + chr(2149 - 2098) + chr(1006 - 957) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(254 - 203) + chr(0b11 + 0o61) + chr(0b101 + 0o62), 0b1000), ehT0Px3KOsy9(chr(2100 - 2052) + chr(12177 - 12066) + chr(49) + '\060' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110100) + '\066', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(54 - 3) + '\066' + chr(1976 - 1928), 8), ehT0Px3KOsy9('\x30' + chr(8806 - 8695) + chr(0b1 + 0o63) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + '\x34' + chr(0b110011 + 0o3), 8), ehT0Px3KOsy9(chr(2017 - 1969) + '\x6f' + '\x31' + chr(0b110000 + 0o5) + chr(0b1 + 0o61), 8), ehT0Px3KOsy9('\060' + chr(5891 - 5780) + chr(0b110011) + chr(50) + chr(0b100100 + 0o15), 52317 - 52309), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b10110 + 0o37) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100010 + 0o17) + chr(55) + chr(0b100101 + 0o16), 60798 - 60790), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2225 - 2172) + chr(54), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(914 - 864), 8), ehT0Px3KOsy9(chr(1615 - 1567) + '\157' + chr(0b110001) + chr(49) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110 + 0o151) + chr(0b100011 + 0o22) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(52) + '\066', 8), ehT0Px3KOsy9(chr(877 - 829) + '\x6f' + chr(50) + chr(0b110010) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b110001) + chr(48) + chr(55), 56195 - 56187), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110 + 0o0), 58913 - 58905), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(53) + '\x30', 6009 - 6001), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b101100 + 0o7) + chr(0b10110 + 0o34), 0b1000), ehT0Px3KOsy9(chr(1971 - 1923) + '\x6f' + chr(49) + '\063' + chr(0b11 + 0o62), 57208 - 57200), ehT0Px3KOsy9(chr(0b110000) + chr(0b111 + 0o150) + chr(1993 - 1942) + chr(0b110011), 50309 - 50301)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1010 + 0o145) + chr(1639 - 1586) + chr(1181 - 1133), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'W'), chr(0b1100100) + chr(0b1001100 + 0o31) + chr(5674 - 5575) + '\x6f' + '\x64' + chr(0b1 + 0o144))(chr(117) + chr(1999 - 1883) + chr(102) + chr(128 - 83) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def OytL4Gk3vp3C(OeWW0F1dBPRQ, jAT42bk66WvZ, Nl_JhL3qUwSN=xafqLlk3kkUe(SXOLrMavuUCe(b'K\x94'), chr(0b10010 + 0o122) + '\145' + chr(0b1100011) + chr(0b1000101 + 0o52) + '\144' + chr(0b100111 + 0o76))(chr(0b1010101 + 0o40) + chr(9313 - 9197) + '\146' + chr(0b10000 + 0o35) + '\070'), VKQ5wcD30goF=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', ord("\x08")), CJBHNoj4zKoT=xafqLlk3kkUe(SXOLrMavuUCe(b'\x11'), '\x64' + '\x65' + chr(9768 - 9669) + chr(0b0 + 0o157) + chr(100) + chr(101))(chr(0b1010110 + 0o37) + chr(0b1110100) + chr(0b1100110) + chr(0b10010 + 0o33) + chr(56))):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f\x9176\x14\xc9>@B\x19MQb5'), chr(0b1100100) + chr(0b1100101) + chr(9210 - 9111) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b11001 + 0o134) + '\164' + chr(102) + chr(0b101101) + chr(0b111000)))(CJBHNoj4zKoT):
if VKQ5wcD30goF > ehT0Px3KOsy9('\060' + '\x6f' + '\061', 8):
pvBLluO5IGOZ = MQv1TNKotpAa[Nl_JhL3qUwSN][xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\x86"\x00\x05\xc4=I'), chr(2346 - 2246) + '\x65' + chr(6923 - 6824) + chr(111) + chr(100) + chr(101))('\x75' + chr(0b100 + 0o160) + chr(5658 - 5556) + chr(0b101101) + chr(833 - 777))]
OeWW0F1dBPRQ = pvBLluO5IGOZ(OeWW0F1dBPRQ, pool_size=(VKQ5wcD30goF, VKQ5wcD30goF), strides=(VKQ5wcD30goF, VKQ5wcD30goF), padding=xafqLlk3kkUe(SXOLrMavuUCe(b'/\xb1\t\x161'), chr(0b1100100) + chr(0b1011000 + 0o15) + chr(0b111100 + 0o47) + chr(0b0 + 0o157) + '\144' + chr(101))('\x75' + '\x74' + chr(9169 - 9067) + chr(0b11111 + 0o16) + chr(0b111000)))
UnmU0r1RTZJ0 = IDJ2eXGCBCDu.nauYfLglTpcb(OeWW0F1dBPRQ)[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011), ord("\x08"))]
A3JtwFGKVTf0 = jAT42bk66WvZ - UnmU0r1RTZJ0
OeWW0F1dBPRQ = IDJ2eXGCBCDu.pad(OeWW0F1dBPRQ, [[ehT0Px3KOsy9('\x30' + chr(0b11010 + 0o125) + chr(48), 0o10), ehT0Px3KOsy9(chr(1195 - 1147) + chr(10881 - 10770) + chr(48), 8)], [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(48), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x30', 8)], [ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + '\x30', 8), ehT0Px3KOsy9(chr(585 - 537) + chr(4392 - 4281) + chr(48), 8)], [A3JtwFGKVTf0 // ehT0Px3KOsy9(chr(1132 - 1084) + '\x6f' + '\062', 8), A3JtwFGKVTf0 // ehT0Px3KOsy9('\060' + chr(8548 - 8437) + chr(0b110010), 8)]])
return OeWW0F1dBPRQ
|
tensorflow/tensor2tensor
|
tensor2tensor/models/revnet.py
|
init
|
def init(images, num_channels, dim='2d', stride=2,
kernel_size=7, maxpool=True, training=True, scope='init'):
"""Standard ResNet initial block used as first RevNet block.
Args:
images: [N, H, W, 3] tensor of input images to the model.
num_channels: Output depth of convolutional layer in initial block.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
stride: stride for the convolution and pool layer.
kernel_size: Size of the initial convolution filter
maxpool: If true, apply a maxpool after the convolution
training: True for train phase, False for eval phase.
scope: Optional scope for the init block.
Returns:
Two [N, H, W, C] output activations from input images.
"""
conv = CONFIG[dim]['conv']
pool = CONFIG[dim]['max_pool']
with tf.variable_scope(scope):
net = conv(images, num_channels, kernel_size, strides=stride,
padding='SAME', activation=None)
net = tf.layers.batch_normalization(net, training=training)
net = tf.nn.relu(net)
if maxpool:
net = pool(net, pool_size=3, strides=stride)
x1, x2 = tf.split(net, 2, axis=CONFIG[dim]['split_axis'])
return x1, x2
|
python
|
def init(images, num_channels, dim='2d', stride=2,
kernel_size=7, maxpool=True, training=True, scope='init'):
"""Standard ResNet initial block used as first RevNet block.
Args:
images: [N, H, W, 3] tensor of input images to the model.
num_channels: Output depth of convolutional layer in initial block.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
stride: stride for the convolution and pool layer.
kernel_size: Size of the initial convolution filter
maxpool: If true, apply a maxpool after the convolution
training: True for train phase, False for eval phase.
scope: Optional scope for the init block.
Returns:
Two [N, H, W, C] output activations from input images.
"""
conv = CONFIG[dim]['conv']
pool = CONFIG[dim]['max_pool']
with tf.variable_scope(scope):
net = conv(images, num_channels, kernel_size, strides=stride,
padding='SAME', activation=None)
net = tf.layers.batch_normalization(net, training=training)
net = tf.nn.relu(net)
if maxpool:
net = pool(net, pool_size=3, strides=stride)
x1, x2 = tf.split(net, 2, axis=CONFIG[dim]['split_axis'])
return x1, x2
|
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] |
Standard ResNet initial block used as first RevNet block.
Args:
images: [N, H, W, 3] tensor of input images to the model.
num_channels: Output depth of convolutional layer in initial block.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
stride: stride for the convolution and pool layer.
kernel_size: Size of the initial convolution filter
maxpool: If true, apply a maxpool after the convolution
training: True for train phase, False for eval phase.
scope: Optional scope for the init block.
Returns:
Two [N, H, W, C] output activations from input images.
|
[
"Standard",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/revnet.py#L178-L205
|
train
|
Standard ResNet initial block.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1402 - 1353) + chr(2310 - 2259) + chr(0b100100 + 0o15), 42318 - 42310), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101001 + 0o6) + chr(0b110100) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\065', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110000) + chr(1322 - 1274), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110010) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(915 - 866) + chr(128 - 74) + '\x31', 60999 - 60991), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(634 - 584) + chr(53) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b1001 + 0o51), 26756 - 26748), ehT0Px3KOsy9(chr(612 - 564) + chr(4426 - 4315) + '\x31' + chr(54) + chr(1390 - 1336), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + '\062' + chr(2789 - 2736) + chr(54), 8), ehT0Px3KOsy9('\060' + chr(0b10000 + 0o137) + '\x31' + chr(1264 - 1209) + chr(0b110110), 55806 - 55798), ehT0Px3KOsy9(chr(1371 - 1323) + chr(0b1101111) + chr(1787 - 1737) + chr(49) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(222 - 172) + chr(54) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(899 - 851) + chr(0b1010011 + 0o34) + '\061' + '\066' + chr(49), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(229 - 176) + chr(0b1010 + 0o47), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b11 + 0o61) + chr(0b11011 + 0o32), 30383 - 30375), ehT0Px3KOsy9(chr(1087 - 1039) + '\x6f' + chr(287 - 235) + '\061', 21684 - 21676), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b101 + 0o55) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b101111 + 0o10) + chr(1073 - 1021), 0o10), ehT0Px3KOsy9(chr(1816 - 1768) + '\x6f' + '\x33' + '\x32' + chr(0b110000), 324 - 316), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\067' + chr(1758 - 1710), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1084 - 1032) + '\x34', 28355 - 28347), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(49) + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\x36' + chr(2243 - 2194), 22720 - 22712), ehT0Px3KOsy9(chr(1864 - 1816) + '\157' + chr(0b110001) + '\x33', 64716 - 64708), ehT0Px3KOsy9('\060' + chr(8357 - 8246) + '\061' + '\x36' + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + chr(50) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(50) + chr(0b110010 + 0o0), 0o10), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(51) + chr(0b101011 + 0o13) + chr(0b100 + 0o55), 20344 - 20336), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(50), 0o10), ehT0Px3KOsy9(chr(1656 - 1608) + chr(111) + chr(1941 - 1890) + chr(0b1 + 0o60) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(826 - 774) + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b11000 + 0o32) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(133 - 22) + chr(896 - 845) + '\062' + chr(670 - 615), 8), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\x31' + chr(0b100000 + 0o25), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10010 + 0o37) + '\064' + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110010) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(2162 - 2114) + chr(0b110111 + 0o70) + chr(0b110011) + chr(54) + '\x37', 20714 - 20706), ehT0Px3KOsy9('\060' + '\x6f' + chr(1974 - 1923) + chr(0b110001) + chr(52), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + chr(1952 - 1904), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'w'), chr(0b101010 + 0o72) + chr(0b111001 + 0o54) + chr(0b1100011) + '\157' + chr(100) + chr(7414 - 7313))('\x75' + chr(116) + '\146' + chr(380 - 335) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def A5GIpkDsgP4U(YJOmEcibG8C0, X1ZpHSxyKbHn, Nl_JhL3qUwSN=xafqLlk3kkUe(SXOLrMavuUCe(b'kB'), '\144' + chr(0b1001 + 0o134) + '\143' + chr(7072 - 6961) + chr(4664 - 4564) + '\x65')(chr(0b1110101) + chr(3422 - 3306) + chr(102) + chr(45) + chr(0b1010 + 0o56)), VKQ5wcD30goF=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062', 8), m6gwVXy4D3Au=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1403 - 1348), 0b1000), BjefiEmyZzGX=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 29629 - 29621), H15mhcYcioqz=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49), 8), CJBHNoj4zKoT=xafqLlk3kkUe(SXOLrMavuUCe(b'0Ht\xb4'), '\x64' + chr(101) + chr(0b101011 + 0o70) + chr(3066 - 2955) + chr(100) + '\145')(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(45) + chr(0b1011 + 0o55))):
m1sWr00SVpVY = MQv1TNKotpAa[Nl_JhL3qUwSN][xafqLlk3kkUe(SXOLrMavuUCe(b':Is\xb6'), chr(6156 - 6056) + chr(0b11 + 0o142) + '\x63' + '\x6f' + '\144' + chr(101))(chr(12742 - 12625) + '\164' + chr(0b1100110) + chr(60 - 15) + chr(1943 - 1887))]
qsPHwJ5jT7iz = MQv1TNKotpAa[Nl_JhL3qUwSN][xafqLlk3kkUe(SXOLrMavuUCe(b'4Ge\x9f\xa5\x1e\xc1a'), chr(0b100010 + 0o102) + chr(3114 - 3013) + '\143' + '\157' + chr(0b1100100) + '\145')(chr(0b1011110 + 0o27) + chr(0b1110100) + '\146' + chr(0b101101) + '\x38')]
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'/Go\xa9\xb4\x13\xc2hU\x05\xcd\x11\xf9\xd5'), chr(100) + chr(0b1100101) + '\143' + chr(0b10111 + 0o130) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1000111 + 0o55) + '\x66' + chr(0b101101) + chr(0b110000 + 0o10)))(CJBHNoj4zKoT):
DyzboKL9cczb = m1sWr00SVpVY(YJOmEcibG8C0, X1ZpHSxyKbHn, m6gwVXy4D3Au, strides=VKQ5wcD30goF, padding=xafqLlk3kkUe(SXOLrMavuUCe(b'\ngP\x85'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(9639 - 9528) + '\144' + chr(0b101001 + 0o74))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b10000 + 0o35) + '\x38'), activation=None)
DyzboKL9cczb = IDJ2eXGCBCDu.layers.batch_normalization(DyzboKL9cczb, training=H15mhcYcioqz)
DyzboKL9cczb = IDJ2eXGCBCDu.nn.relu(DyzboKL9cczb)
if BjefiEmyZzGX:
DyzboKL9cczb = qsPHwJ5jT7iz(DyzboKL9cczb, pool_size=ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(51), 0o10), strides=VKQ5wcD30goF)
(pci1T9SDshKa, OVXzvB9BcGF_) = IDJ2eXGCBCDu.split(DyzboKL9cczb, ehT0Px3KOsy9(chr(48) + chr(111) + '\x32', 8), axis=MQv1TNKotpAa[Nl_JhL3qUwSN][xafqLlk3kkUe(SXOLrMavuUCe(b'*Vq\xa9\xa1.\xcfuc\x05'), chr(0b111000 + 0o54) + '\145' + chr(0b1100011) + '\x6f' + '\144' + chr(0b1100101))(chr(117) + '\x74' + chr(8332 - 8230) + chr(0b11001 + 0o24) + chr(56))])
return (pci1T9SDshKa, OVXzvB9BcGF_)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/revnet.py
|
unit
|
def unit(x1, x2, block_num, depth, num_layers, dim='2d',
bottleneck=True, first_batch_norm=True, stride=1, training=True):
"""Implements bottleneck RevNet unit from authors' RevNet architecture.
Args:
x1: [N, H, W, C] tensor of network activations.
x2: [N, H, W, C] tensor of network activations.
block_num: integer ID of block
depth: First depth in bottleneck residual unit.
num_layers: Number of layers in the RevNet block.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
bottleneck: Should a bottleneck layer be used.
first_batch_norm: Whether to keep the first batch norm layer or not.
Typically used in the first RevNet block.
stride: Stride for the residual function.
training: True for train phase, False for eval phase.
Returns:
Two [N, H, W, C] output activation tensors.
"""
scope_name = 'unit_%d' % block_num
if bottleneck:
depth1 = depth
depth2 = depth * 4
else:
depth1 = depth2 = depth
residual = wrapped_partial(f,
depth1=depth1, depth2=depth2, dim=dim,
training=training, bottleneck=bottleneck)
with tf.variable_scope(scope_name):
downsample = downsample_bottleneck if bottleneck else downsample_residual
# Manual implementation of downsampling
with tf.variable_scope('downsampling'):
with tf.variable_scope('x1'):
hx1 = downsample(x1, depth2, dim=dim, stride=stride)
fx2 = residual(x2, stride=stride, first_batch_norm=first_batch_norm)
x1 = hx1 + fx2
with tf.variable_scope('x2'):
hx2 = downsample(x2, depth2, dim=dim, stride=stride)
fx1 = residual(x1)
x2 = hx2 + fx1
# Full block using memory-efficient rev_block implementation.
with tf.variable_scope('full_block'):
x1, x2 = tf.contrib.layers.rev_block(x1, x2,
residual,
residual,
num_layers=num_layers)
return x1, x2
|
python
|
def unit(x1, x2, block_num, depth, num_layers, dim='2d',
bottleneck=True, first_batch_norm=True, stride=1, training=True):
"""Implements bottleneck RevNet unit from authors' RevNet architecture.
Args:
x1: [N, H, W, C] tensor of network activations.
x2: [N, H, W, C] tensor of network activations.
block_num: integer ID of block
depth: First depth in bottleneck residual unit.
num_layers: Number of layers in the RevNet block.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
bottleneck: Should a bottleneck layer be used.
first_batch_norm: Whether to keep the first batch norm layer or not.
Typically used in the first RevNet block.
stride: Stride for the residual function.
training: True for train phase, False for eval phase.
Returns:
Two [N, H, W, C] output activation tensors.
"""
scope_name = 'unit_%d' % block_num
if bottleneck:
depth1 = depth
depth2 = depth * 4
else:
depth1 = depth2 = depth
residual = wrapped_partial(f,
depth1=depth1, depth2=depth2, dim=dim,
training=training, bottleneck=bottleneck)
with tf.variable_scope(scope_name):
downsample = downsample_bottleneck if bottleneck else downsample_residual
# Manual implementation of downsampling
with tf.variable_scope('downsampling'):
with tf.variable_scope('x1'):
hx1 = downsample(x1, depth2, dim=dim, stride=stride)
fx2 = residual(x2, stride=stride, first_batch_norm=first_batch_norm)
x1 = hx1 + fx2
with tf.variable_scope('x2'):
hx2 = downsample(x2, depth2, dim=dim, stride=stride)
fx1 = residual(x1)
x2 = hx2 + fx1
# Full block using memory-efficient rev_block implementation.
with tf.variable_scope('full_block'):
x1, x2 = tf.contrib.layers.rev_block(x1, x2,
residual,
residual,
num_layers=num_layers)
return x1, x2
|
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"contrib",
".",
"layers",
".",
"rev_block",
"(",
"x1",
",",
"x2",
",",
"residual",
",",
"residual",
",",
"num_layers",
"=",
"num_layers",
")",
"return",
"x1",
",",
"x2"
] |
Implements bottleneck RevNet unit from authors' RevNet architecture.
Args:
x1: [N, H, W, C] tensor of network activations.
x2: [N, H, W, C] tensor of network activations.
block_num: integer ID of block
depth: First depth in bottleneck residual unit.
num_layers: Number of layers in the RevNet block.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
bottleneck: Should a bottleneck layer be used.
first_batch_norm: Whether to keep the first batch norm layer or not.
Typically used in the first RevNet block.
stride: Stride for the residual function.
training: True for train phase, False for eval phase.
Returns:
Two [N, H, W, C] output activation tensors.
|
[
"Implements",
"bottleneck",
"RevNet",
"unit",
"from",
"authors",
"RevNet",
"architecture",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/revnet.py#L208-L258
|
train
|
Implements bottleneck RevNet architecture.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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' + '\062' + chr(0b110101 + 0o0), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100101 + 0o15) + '\x37' + '\x34', 61327 - 61319), ehT0Px3KOsy9(chr(147 - 99) + chr(111) + chr(50) + '\x35' + chr(0b110100), 2941 - 2933), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b1100 + 0o45) + chr(762 - 712), 0o10), ehT0Px3KOsy9(chr(2287 - 2239) + '\157' + chr(0b110001) + '\060' + chr(1964 - 1916), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11 + 0o63) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(0b1100 + 0o46), 2329 - 2321), ehT0Px3KOsy9(chr(1369 - 1321) + '\x6f' + chr(0b110110), 38635 - 38627), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + '\063' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1263 - 1210) + chr(51), 0b1000), ehT0Px3KOsy9(chr(1998 - 1950) + '\x6f' + chr(0b110011) + '\x35' + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\067' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(0b110011) + chr(0b110001) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\x32' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(1414 - 1364), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000100 + 0o53) + chr(50) + chr(1705 - 1653) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b100011 + 0o114) + chr(0b10101 + 0o34) + '\x30' + chr(0b100 + 0o57), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(440 - 390) + '\065', 8), ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + chr(51) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1453 - 1405) + chr(0b1101111) + chr(0b1111 + 0o42) + '\x35' + chr(0b101101 + 0o6), 0b1000), ehT0Px3KOsy9(chr(76 - 28) + chr(111) + chr(51) + '\x30' + chr(1093 - 1042), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(951 - 900) + '\063' + chr(1179 - 1131), 5618 - 5610), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b101111 + 0o6) + chr(937 - 889), ord("\x08")), ehT0Px3KOsy9(chr(735 - 687) + '\x6f' + '\061' + chr(51) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100010 + 0o21) + chr(0b110101) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(594 - 546) + chr(6145 - 6034) + chr(51) + '\067' + chr(186 - 135), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(494 - 445) + '\x32' + chr(0b110100), 62629 - 62621), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(2757 - 2702) + chr(89 - 37), 18629 - 18621), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b11000 + 0o32) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(8768 - 8657) + '\x32' + chr(48) + chr(0b100111 + 0o13), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100100 + 0o15) + '\066' + chr(0b10110 + 0o41), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100110 + 0o11) + chr(0b101000 + 0o11) + '\062' + chr(0b110011), 46372 - 46364), ehT0Px3KOsy9(chr(69 - 21) + chr(4975 - 4864) + chr(0b110101) + chr(827 - 773), 55415 - 55407), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(50) + chr(0b110011 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(486 - 432) + chr(1328 - 1278), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\x36' + chr(0b101001 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(795 - 747) + chr(0b10001 + 0o136) + chr(0b110001) + chr(0b101000 + 0o13) + '\x36', 9237 - 9229), ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + '\064' + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b100100 + 0o14), 41125 - 41117), ehT0Px3KOsy9(chr(48) + chr(0b1100111 + 0o10) + chr(391 - 341) + chr(0b110011) + chr(0b110010), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(0b0 + 0o60), 28521 - 28513)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b';'), chr(6731 - 6631) + chr(101) + chr(0b1100011) + chr(111) + '\144' + '\x65')(chr(117) + chr(116) + chr(0b1100110) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zbwQ4mKE5Iq9(pci1T9SDshKa, OVXzvB9BcGF_, KMoGKAZ8HgDt, UEys4_lSwsID, uftkTXJyNORO, Nl_JhL3qUwSN=xafqLlk3kkUe(SXOLrMavuUCe(b"'\xd8"), chr(100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(6911 - 6811) + chr(0b1100101))('\165' + chr(0b101100 + 0o110) + chr(0b100011 + 0o103) + '\055' + chr(0b111000)), Hax21lk7t3Y8=ehT0Px3KOsy9('\x30' + '\157' + chr(2032 - 1983), 0b1000), RGktndCUX5jn=ehT0Px3KOsy9(chr(1809 - 1761) + chr(938 - 827) + '\x31', 8), VKQ5wcD30goF=ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + chr(49), 8), H15mhcYcioqz=ehT0Px3KOsy9('\060' + chr(0b10100 + 0o133) + chr(49), 8)):
kP9QkIaIzxt1 = xafqLlk3kkUe(SXOLrMavuUCe(b'`\xd2\xc5>\x1f\x14f'), chr(0b1001011 + 0o31) + chr(5679 - 5578) + chr(4873 - 4774) + chr(111) + chr(0b1011010 + 0o12) + chr(0b100 + 0o141))(chr(0b1110000 + 0o5) + chr(116) + chr(0b1011111 + 0o7) + chr(45) + chr(0b100000 + 0o30)) % KMoGKAZ8HgDt
if Hax21lk7t3Y8:
J1vgggrSgjxi = UEys4_lSwsID
sjhX7ukdlpki = UEys4_lSwsID * ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010 + 0o2), 0b1000)
else:
J1vgggrSgjxi = sjhX7ukdlpki = UEys4_lSwsID
c2e479o7i3lz = zvnjEMcfSXrc(EGyt1xfPT1P6, depth1=J1vgggrSgjxi, depth2=sjhX7ukdlpki, dim=Nl_JhL3qUwSN, training=H15mhcYcioqz, bottleneck=Hax21lk7t3Y8)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'c\xdd\xde#!Snc@X\x88\xd0\xbc\xb3'), chr(0b101100 + 0o70) + chr(3421 - 3320) + chr(0b1100011) + '\x6f' + chr(1390 - 1290) + chr(0b10010 + 0o123))(chr(117) + chr(0b100101 + 0o117) + chr(6059 - 5957) + chr(1515 - 1470) + chr(56)))(kP9QkIaIzxt1):
pdesC3Xdyo9W = nmOdLxvRQYnI if Hax21lk7t3Y8 else OytL4Gk3vp3C
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'c\xdd\xde#!Snc@X\x88\xd0\xbc\xb3'), chr(2617 - 2517) + chr(5508 - 5407) + '\x63' + chr(0b11100 + 0o123) + chr(0b10011 + 0o121) + chr(101))('\165' + '\164' + '\x66' + '\055' + chr(1325 - 1269)))(xafqLlk3kkUe(SXOLrMavuUCe(b'q\xd3\xdb$3PovsB\x85\xd8'), '\144' + chr(5372 - 5271) + chr(0b10101 + 0o116) + chr(11885 - 11774) + chr(0b111010 + 0o52) + chr(101))(chr(117) + '\164' + chr(0b110111 + 0o57) + '\x2d' + '\070')):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'c\xdd\xde#!Snc@X\x88\xd0\xbc\xb3'), chr(0b1011000 + 0o14) + '\x65' + chr(0b1100011) + chr(0b11000 + 0o127) + chr(100) + '\x65')(chr(117) + '\164' + chr(0b1011101 + 0o11) + chr(1081 - 1036) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'm\x8d'), chr(0b1100100) + '\x65' + chr(8419 - 8320) + chr(4193 - 4082) + chr(3128 - 3028) + chr(8542 - 8441))(chr(117) + chr(10535 - 10419) + chr(3205 - 3103) + '\055' + '\x38')):
avqJY6vQ951Q = pdesC3Xdyo9W(pci1T9SDshKa, sjhX7ukdlpki, dim=Nl_JhL3qUwSN, stride=VKQ5wcD30goF)
SthOMMm1_imJ = c2e479o7i3lz(OVXzvB9BcGF_, stride=VKQ5wcD30goF, first_batch_norm=RGktndCUX5jn)
pci1T9SDshKa = avqJY6vQ951Q + SthOMMm1_imJ
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'c\xdd\xde#!Snc@X\x88\xd0\xbc\xb3'), chr(1809 - 1709) + chr(101) + chr(0b1100011) + '\157' + '\144' + '\145')('\165' + chr(0b111 + 0o155) + chr(0b100001 + 0o105) + chr(323 - 278) + chr(0b11000 + 0o40)))(xafqLlk3kkUe(SXOLrMavuUCe(b'm\x8e'), chr(9747 - 9647) + chr(9704 - 9603) + chr(0b100010 + 0o101) + chr(0b1101111) + '\144' + '\145')(chr(3442 - 3325) + '\x74' + chr(0b1100110) + chr(1736 - 1691) + '\070')):
zYDp2ZsByk0x = pdesC3Xdyo9W(OVXzvB9BcGF_, sjhX7ukdlpki, dim=Nl_JhL3qUwSN, stride=VKQ5wcD30goF)
HQy8uBNFUAz0 = c2e479o7i3lz(pci1T9SDshKa)
OVXzvB9BcGF_ = zYDp2ZsByk0x + HQy8uBNFUAz0
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'c\xdd\xde#!Snc@X\x88\xd0\xbc\xb3'), chr(3077 - 2977) + '\145' + '\x63' + chr(0b110100 + 0o73) + chr(0b1011110 + 0o6) + chr(101))(chr(3510 - 3393) + chr(116) + chr(9346 - 9244) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b's\xc9\xc0&\x1fSni|@'), '\x64' + '\x65' + chr(0b1100011) + '\157' + chr(100) + '\145')('\165' + chr(0b1000110 + 0o56) + chr(102) + chr(0b10110 + 0o27) + chr(0b111000))):
(pci1T9SDshKa, OVXzvB9BcGF_) = IDJ2eXGCBCDu.contrib.layers.rev_block(pci1T9SDshKa, OVXzvB9BcGF_, c2e479o7i3lz, c2e479o7i3lz, num_layers=uftkTXJyNORO)
return (pci1T9SDshKa, OVXzvB9BcGF_)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/revnet.py
|
final_block
|
def final_block(x1, x2, dim='2d', training=True, scope='final_block'):
"""Converts activations from last RevNet block to pre-logits.
Args:
x1: [NxHxWxC] tensor of network activations.
x2: [NxHxWxC] tensor of network activations.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
training: True for train phase, False for eval phase.
scope: Optional variable scope for the final block.
Returns:
[N, hidden_dim] pre-logits tensor from activations x1 and x2.
"""
# Final batch norm and relu
with tf.variable_scope(scope):
y = tf.concat([x1, x2], axis=CONFIG[dim]['split_axis'])
y = tf.layers.batch_normalization(y, training=training)
y = tf.nn.relu(y)
# Global average pooling
net = tf.reduce_mean(y, CONFIG[dim]['reduction_dimensions'],
name='final_pool', keep_dims=True)
return net
|
python
|
def final_block(x1, x2, dim='2d', training=True, scope='final_block'):
"""Converts activations from last RevNet block to pre-logits.
Args:
x1: [NxHxWxC] tensor of network activations.
x2: [NxHxWxC] tensor of network activations.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
training: True for train phase, False for eval phase.
scope: Optional variable scope for the final block.
Returns:
[N, hidden_dim] pre-logits tensor from activations x1 and x2.
"""
# Final batch norm and relu
with tf.variable_scope(scope):
y = tf.concat([x1, x2], axis=CONFIG[dim]['split_axis'])
y = tf.layers.batch_normalization(y, training=training)
y = tf.nn.relu(y)
# Global average pooling
net = tf.reduce_mean(y, CONFIG[dim]['reduction_dimensions'],
name='final_pool', keep_dims=True)
return net
|
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"y",
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"# Global average pooling",
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"[",
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",",
"name",
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",",
"keep_dims",
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"True",
")",
"return",
"net"
] |
Converts activations from last RevNet block to pre-logits.
Args:
x1: [NxHxWxC] tensor of network activations.
x2: [NxHxWxC] tensor of network activations.
dim: '2d' if 2-dimensional, '3d' if 3-dimensional.
training: True for train phase, False for eval phase.
scope: Optional variable scope for the final block.
Returns:
[N, hidden_dim] pre-logits tensor from activations x1 and x2.
|
[
"Converts",
"activations",
"from",
"last",
"RevNet",
"block",
"to",
"pre",
"-",
"logits",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/revnet.py#L261-L285
|
train
|
Converts activations from last RevNet block to pre - logits.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(0b11010 + 0o34) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(501 - 451) + chr(407 - 359) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(780 - 732) + chr(0b1101111) + chr(0b100110 + 0o15) + chr(51) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(53) + '\x37', 53667 - 53659), ehT0Px3KOsy9(chr(2025 - 1977) + chr(0b1101111) + chr(1863 - 1813) + '\x32' + '\x36', 37629 - 37621), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + '\061' + chr(50) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10001 + 0o40) + chr(49) + chr(0b110010), 11572 - 11564), ehT0Px3KOsy9('\x30' + '\x6f' + chr(889 - 840) + '\x30' + chr(0b101000 + 0o17), 30877 - 30869), ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + chr(0b110011 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2117 - 2067) + chr(0b11001 + 0o35), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + '\061' + chr(0b110000) + chr(1725 - 1671), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1111 + 0o44) + '\067' + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b1011 + 0o47) + chr(0b110000 + 0o3) + chr(1427 - 1372), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b101 + 0o53) + chr(52), 0o10), ehT0Px3KOsy9(chr(857 - 809) + chr(0b1100001 + 0o16) + chr(1750 - 1699) + '\x30' + chr(0b101110 + 0o11), 0b1000), ehT0Px3KOsy9(chr(1398 - 1350) + chr(3211 - 3100) + '\063' + chr(1469 - 1417) + '\x34', 9831 - 9823), ehT0Px3KOsy9(chr(165 - 117) + chr(0b1101001 + 0o6) + '\x32' + chr(1957 - 1907) + chr(0b10011 + 0o44), 16509 - 16501), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\x33' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100101 + 0o15) + chr(0b110000) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10111 + 0o130) + chr(50) + chr(48) + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + chr(0b101111 + 0o3) + chr(0b11110 + 0o27) + chr(934 - 883), ord("\x08")), ehT0Px3KOsy9(chr(57 - 9) + chr(0b1000001 + 0o56) + '\061' + chr(0b110110) + chr(0b110110), 31467 - 31459), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + '\063' + chr(0b100100 + 0o20), 0o10), ehT0Px3KOsy9(chr(2118 - 2070) + chr(111) + '\x36' + chr(2828 - 2774), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\065' + chr(1230 - 1176), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + '\x31' + '\067' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(51) + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2087 - 2038) + chr(1110 - 1061) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(788 - 737) + chr(0b100010 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(290 - 242) + chr(0b1101111) + chr(50) + chr(0b111 + 0o51) + chr(49), 8), ehT0Px3KOsy9('\x30' + chr(8069 - 7958) + chr(0b110011) + chr(1310 - 1262) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(208 - 157) + chr(52) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b100011 + 0o16) + '\x32' + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(52) + '\x31', 36201 - 36193), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b110000) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + chr(0b1001 + 0o51) + chr(278 - 226) + chr(0b100110 + 0o20), 33306 - 33298), ehT0Px3KOsy9(chr(2223 - 2175) + chr(111) + chr(886 - 836) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(147 - 97) + '\x34' + chr(503 - 454), 0b1000), ehT0Px3KOsy9('\060' + chr(8737 - 8626) + chr(51) + '\066' + chr(2349 - 2296), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x37' + chr(259 - 205), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\x35' + chr(1853 - 1805), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a'), chr(0b1100100) + chr(0b110011 + 0o62) + chr(99) + chr(0b101000 + 0o107) + chr(100) + '\x65')('\x75' + chr(116) + chr(3233 - 3131) + '\x2d' + chr(0b10001 + 0o47)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def G4mC4N9ftCbi(pci1T9SDshKa, OVXzvB9BcGF_, Nl_JhL3qUwSN=xafqLlk3kkUe(SXOLrMavuUCe(b'\x06\xe5'), chr(100) + chr(7626 - 7525) + '\x63' + chr(8935 - 8824) + '\x64' + chr(0b101101 + 0o70))(chr(0b1110101) + '\x74' + '\146' + chr(134 - 89) + '\070'), H15mhcYcioqz=ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + chr(2162 - 2113), ord("\x08")), CJBHNoj4zKoT=xafqLlk3kkUe(SXOLrMavuUCe(b'R\xe8\xb4\x0e\xfa\x08(+ju-'), chr(0b1100100 + 0o0) + chr(0b10001 + 0o124) + chr(0b1100011) + chr(0b1101111) + chr(0b101 + 0o137) + '\145')(chr(0b1100010 + 0o23) + chr(10986 - 10870) + chr(102) + '\055' + chr(2359 - 2303))):
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'B\xe0\xa8\x06\xf75&"Ze%\x95\xef\xe1'), '\x64' + '\145' + chr(0b1100011) + '\x6f' + chr(3238 - 3138) + chr(0b1100101))(chr(0b110110 + 0o77) + '\164' + chr(0b1100110) + chr(550 - 505) + chr(56)))(CJBHNoj4zKoT):
SqiSOtYOqOJH = IDJ2eXGCBCDu.concat([pci1T9SDshKa, OVXzvB9BcGF_], axis=MQv1TNKotpAa[Nl_JhL3qUwSN][xafqLlk3kkUe(SXOLrMavuUCe(b'G\xf1\xb6\x06\xe2\x08+?le'), chr(0b1100100) + chr(0b101100 + 0o71) + chr(0b1100011) + chr(0b111010 + 0o65) + chr(0b1100100) + '\x65')(chr(117) + chr(0b101011 + 0o111) + '\x66' + '\055' + '\x38')])
SqiSOtYOqOJH = IDJ2eXGCBCDu.layers.batch_normalization(SqiSOtYOqOJH, training=H15mhcYcioqz)
SqiSOtYOqOJH = IDJ2eXGCBCDu.nn.relu(SqiSOtYOqOJH)
DyzboKL9cczb = IDJ2eXGCBCDu.reduce_mean(SqiSOtYOqOJH, MQv1TNKotpAa[Nl_JhL3qUwSN][xafqLlk3kkUe(SXOLrMavuUCe(b'F\xe4\xbe\x1a\xf5##(kI"\x93\xf2\xe1\xa9\x97\xfe6\xee\xf2'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1101111) + '\144' + chr(5486 - 5385))(chr(117) + chr(0b1110100) + chr(4211 - 4109) + chr(0b101101) + chr(2121 - 2065))], name=xafqLlk3kkUe(SXOLrMavuUCe(b'R\xe8\xb4\x0e\xfa\x08:(jz'), chr(0b1100100) + chr(2342 - 2241) + '\143' + chr(0b1010100 + 0o33) + '\x64' + chr(0b101001 + 0o74))(chr(0b1101100 + 0o11) + chr(116) + '\x66' + '\x2d' + '\070'), keep_dims=ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 8))
return DyzboKL9cczb
|
tensorflow/tensor2tensor
|
tensor2tensor/models/revnet.py
|
revnet
|
def revnet(inputs, hparams, reuse=None):
"""Uses Tensor2Tensor memory optimized RevNet block to build a RevNet.
Args:
inputs: [NxHxWx3] tensor of input images to the model.
hparams: HParams object that contains the following parameters,
in addition to the parameters contained in the basic_params1() object in
the common_hparams module:
num_channels_first - A Python list where each element represents the
depth of the first and third convolutional layers in the bottleneck
residual unit for a given block.
num_channels_second - A Python list where each element represents the
depth of the second convolutional layer in the bottleneck residual
unit for a given block.
num_layers_per_block - A Python list containing the number of RevNet
layers for each block.
first_batch_norm - A Python list containing booleans representing the
presence of a batch norm layer at the beginning of a given block.
strides - A Python list containing integers representing the stride of
the residual function for each block.
num_channels_init_block - An integer representing the number of channels
for the convolutional layer in the initial block.
dimension - A string (either "2d" or "3d") that decides if the RevNet is
2-dimensional or 3-dimensional.
reuse: Whether to reuse the default variable scope.
Returns:
[batch_size, hidden_dim] pre-logits tensor from the bottleneck RevNet.
"""
training = hparams.mode == tf.estimator.ModeKeys.TRAIN
with tf.variable_scope('RevNet', reuse=reuse):
x1, x2 = init(inputs,
num_channels=hparams.num_channels_init_block,
dim=hparams.dim,
kernel_size=hparams.init_kernel_size,
maxpool=hparams.init_maxpool,
stride=hparams.init_stride,
training=training)
for block_num in range(len(hparams.num_layers_per_block)):
block = {'depth': hparams.num_channels[block_num],
'num_layers': hparams.num_layers_per_block[block_num],
'first_batch_norm': hparams.first_batch_norm[block_num],
'stride': hparams.strides[block_num],
'bottleneck': hparams.bottleneck}
x1, x2 = unit(x1, x2, block_num, dim=hparams.dim, training=training,
**block)
pre_logits = final_block(x1, x2, dim=hparams.dim, training=training)
return pre_logits
|
python
|
def revnet(inputs, hparams, reuse=None):
"""Uses Tensor2Tensor memory optimized RevNet block to build a RevNet.
Args:
inputs: [NxHxWx3] tensor of input images to the model.
hparams: HParams object that contains the following parameters,
in addition to the parameters contained in the basic_params1() object in
the common_hparams module:
num_channels_first - A Python list where each element represents the
depth of the first and third convolutional layers in the bottleneck
residual unit for a given block.
num_channels_second - A Python list where each element represents the
depth of the second convolutional layer in the bottleneck residual
unit for a given block.
num_layers_per_block - A Python list containing the number of RevNet
layers for each block.
first_batch_norm - A Python list containing booleans representing the
presence of a batch norm layer at the beginning of a given block.
strides - A Python list containing integers representing the stride of
the residual function for each block.
num_channels_init_block - An integer representing the number of channels
for the convolutional layer in the initial block.
dimension - A string (either "2d" or "3d") that decides if the RevNet is
2-dimensional or 3-dimensional.
reuse: Whether to reuse the default variable scope.
Returns:
[batch_size, hidden_dim] pre-logits tensor from the bottleneck RevNet.
"""
training = hparams.mode == tf.estimator.ModeKeys.TRAIN
with tf.variable_scope('RevNet', reuse=reuse):
x1, x2 = init(inputs,
num_channels=hparams.num_channels_init_block,
dim=hparams.dim,
kernel_size=hparams.init_kernel_size,
maxpool=hparams.init_maxpool,
stride=hparams.init_stride,
training=training)
for block_num in range(len(hparams.num_layers_per_block)):
block = {'depth': hparams.num_channels[block_num],
'num_layers': hparams.num_layers_per_block[block_num],
'first_batch_norm': hparams.first_batch_norm[block_num],
'stride': hparams.strides[block_num],
'bottleneck': hparams.bottleneck}
x1, x2 = unit(x1, x2, block_num, dim=hparams.dim, training=training,
**block)
pre_logits = final_block(x1, x2, dim=hparams.dim, training=training)
return pre_logits
|
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] |
Uses Tensor2Tensor memory optimized RevNet block to build a RevNet.
Args:
inputs: [NxHxWx3] tensor of input images to the model.
hparams: HParams object that contains the following parameters,
in addition to the parameters contained in the basic_params1() object in
the common_hparams module:
num_channels_first - A Python list where each element represents the
depth of the first and third convolutional layers in the bottleneck
residual unit for a given block.
num_channels_second - A Python list where each element represents the
depth of the second convolutional layer in the bottleneck residual
unit for a given block.
num_layers_per_block - A Python list containing the number of RevNet
layers for each block.
first_batch_norm - A Python list containing booleans representing the
presence of a batch norm layer at the beginning of a given block.
strides - A Python list containing integers representing the stride of
the residual function for each block.
num_channels_init_block - An integer representing the number of channels
for the convolutional layer in the initial block.
dimension - A string (either "2d" or "3d") that decides if the RevNet is
2-dimensional or 3-dimensional.
reuse: Whether to reuse the default variable scope.
Returns:
[batch_size, hidden_dim] pre-logits tensor from the bottleneck RevNet.
|
[
"Uses",
"Tensor2Tensor",
"memory",
"optimized",
"RevNet",
"block",
"to",
"build",
"a",
"RevNet",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/revnet.py#L288-L335
|
train
|
Uses Tensor2Tensor memory optimized RevNet block to build a RevNet block.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(4504 - 4393) + chr(0b1100 + 0o50) + chr(768 - 720), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + '\061' + chr(51) + chr(1237 - 1189), 42018 - 42010), ehT0Px3KOsy9('\060' + chr(111) + '\x35' + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(2689 - 2634) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1583 - 1534) + chr(0b110000) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(8778 - 8667) + chr(0b110100) + chr(0b101 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + '\063' + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(490 - 440) + '\x30' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10000 + 0o41) + chr(1157 - 1106) + chr(1423 - 1371), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(0b110010) + '\x32' + chr(0b101110 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b101111 + 0o1) + chr(0b101110 + 0o2), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(50) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b101101 + 0o12) + chr(2265 - 2210), 12560 - 12552), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11110 + 0o25) + chr(0b10000 + 0o45) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1085 - 1036) + chr(49) + '\060', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1583 - 1532) + chr(0b10101 + 0o42) + chr(0b10111 + 0o31), 17945 - 17937), ehT0Px3KOsy9('\060' + chr(8828 - 8717) + chr(0b11111 + 0o24) + chr(54) + chr(1693 - 1645), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(716 - 665) + chr(49) + '\062', 0o10), ehT0Px3KOsy9(chr(1046 - 998) + '\157' + '\x34' + chr(2212 - 2159), 0b1000), ehT0Px3KOsy9(chr(1422 - 1374) + chr(0b111010 + 0o65) + '\063' + chr(814 - 763) + chr(1458 - 1403), 25740 - 25732), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(48) + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(2233 - 2182) + '\x37' + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10101 + 0o36) + chr(48) + chr(0b110101), 36171 - 36163), ehT0Px3KOsy9(chr(0b110000) + chr(5819 - 5708) + chr(50) + chr(50) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\x34' + chr(48), 23744 - 23736), ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + '\x32' + '\066' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1439 - 1389), 21351 - 21343), ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + chr(0b110011) + chr(1772 - 1717) + chr(914 - 862), 46646 - 46638), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b110101) + chr(51), 62349 - 62341), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + chr(54), 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(0b110010) + chr(48) + '\x35', 8), ehT0Px3KOsy9(chr(491 - 443) + chr(111) + chr(0b110001) + '\x31' + '\060', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b110101) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(0b101000 + 0o17) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b101111 + 0o6) + '\x31', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11000 + 0o33) + '\062' + '\063', 22631 - 22623), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(0b110010) + '\x36' + chr(0b11110 + 0o30), 8), ehT0Px3KOsy9(chr(1747 - 1699) + chr(0b1 + 0o156) + '\x32' + chr(51) + '\063', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110101), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(491 - 443) + chr(111) + chr(0b110101) + chr(1574 - 1526), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e'), chr(3515 - 3415) + chr(0b1100101) + chr(99) + chr(7337 - 7226) + '\x64' + chr(0b1111 + 0o126))(chr(0b1010010 + 0o43) + '\164' + chr(6004 - 5902) + chr(45) + chr(2780 - 2724)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def A_aCh8ip8oEC(vXoupepMtCXU, n4ljua2gi1Pr, pmC5wdSFgdFj=None):
H15mhcYcioqz = n4ljua2gi1Pr.mode == IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'V9\\\x94&@p\xe0\x03\xe2\xa3:\xcf\x8d'), '\x64' + chr(101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(101))('\165' + '\164' + chr(0b1100110) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'r=X\xb3"V'), '\x64' + chr(6988 - 6887) + chr(7593 - 7494) + chr(4949 - 4838) + chr(0b11010 + 0o112) + '\145')('\165' + '\164' + chr(0b1100110) + chr(621 - 576) + chr(0b111000)), reuse=pmC5wdSFgdFj):
(pci1T9SDshKa, OVXzvB9BcGF_) = A5GIpkDsgP4U(vXoupepMtCXU, num_channels=n4ljua2gi1Pr.num_channels_init_block, dim=n4ljua2gi1Pr.dim, kernel_size=n4ljua2gi1Pr.init_kernel_size, maxpool=n4ljua2gi1Pr.init_maxpool, stride=n4ljua2gi1Pr.init_stride, training=H15mhcYcioqz)
for KMoGKAZ8HgDt in vQr8gNKaIaWE(c2A0yzQpDQB3(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'N-C\xa2+Ce\xe0.\xe2\x9f%\xda\x9a\x17\x9a\x9c\xa5F\xb4'), chr(0b1100100) + chr(4697 - 4596) + chr(0b1100011) + chr(5241 - 5130) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1001000 + 0o54) + chr(504 - 402) + chr(0b11110 + 0o17) + '\x38')))):
cid3MTmW5yAA = {xafqLlk3kkUe(SXOLrMavuUCe(b'D=^\x89/'), chr(100) + '\145' + chr(99) + '\x6f' + '\144' + chr(4108 - 4007))(chr(0b1010101 + 0o40) + chr(116) + chr(0b1100110 + 0o0) + chr(140 - 95) + chr(0b11000 + 0o40)): n4ljua2gi1Pr.num_channels[KMoGKAZ8HgDt], xafqLlk3kkUe(SXOLrMavuUCe(b'N-C\xa2+Ce\xe0.\xe2'), chr(0b1000101 + 0o37) + chr(0b111010 + 0o53) + chr(0b1100011) + chr(1753 - 1642) + chr(0b1100100) + '\145')('\x75' + '\x74' + chr(102) + chr(0b101101) + chr(1027 - 971)): n4ljua2gi1Pr.num_layers_per_block[KMoGKAZ8HgDt], xafqLlk3kkUe(SXOLrMavuUCe(b'F1\\\x8e3}~\xe4(\xf2\xa8\n\xd1\x87:\x95'), chr(0b100010 + 0o102) + chr(0b1100101) + chr(99) + '\157' + chr(0b1100100) + '\145')(chr(0b110111 + 0o76) + '\164' + '\146' + chr(1368 - 1323) + chr(0b110010 + 0o6)): n4ljua2gi1Pr.first_batch_norm[KMoGKAZ8HgDt], xafqLlk3kkUe(SXOLrMavuUCe(b'S,\\\x94#G'), '\x64' + chr(0b1100101) + '\x63' + chr(111) + chr(2048 - 1948) + chr(2475 - 2374))(chr(0b1110 + 0o147) + '\164' + chr(102) + chr(605 - 560) + chr(872 - 816)): n4ljua2gi1Pr.strides[KMoGKAZ8HgDt], xafqLlk3kkUe(SXOLrMavuUCe(b'B7Z\x89+Gr\xe0?\xfa'), chr(4891 - 4791) + chr(101) + chr(0b1000 + 0o133) + chr(0b110100 + 0o73) + chr(100) + chr(101))('\x75' + chr(0b1010110 + 0o36) + chr(102) + '\055' + '\070'): n4ljua2gi1Pr.bottleneck}
(pci1T9SDshKa, OVXzvB9BcGF_) = zbwQ4mKE5Iq9(pci1T9SDshKa, OVXzvB9BcGF_, KMoGKAZ8HgDt, dim=n4ljua2gi1Pr.dim, training=H15mhcYcioqz, **cid3MTmW5yAA)
pmrht3CrHXTn = G4mC4N9ftCbi(pci1T9SDshKa, OVXzvB9BcGF_, dim=n4ljua2gi1Pr.dim, training=H15mhcYcioqz)
return pmrht3CrHXTn
|
tensorflow/tensor2tensor
|
tensor2tensor/models/revnet.py
|
revnet_base
|
def revnet_base():
"""Default hparams for Revnet."""
hparams = common_hparams.basic_params1()
hparams.add_hparam('num_channels', [64, 128, 256, 416])
hparams.add_hparam('num_layers_per_block', [1, 1, 10, 1])
hparams.add_hparam('bottleneck', True)
hparams.add_hparam('first_batch_norm', [False, True, True, True])
hparams.add_hparam('init_stride', 2)
hparams.add_hparam('init_kernel_size', 7)
hparams.add_hparam('init_maxpool', True)
hparams.add_hparam('strides', [1, 2, 2, 2])
hparams.add_hparam('num_channels_init_block', 64)
hparams.add_hparam('dim', '2d')
# Variable init
hparams.initializer = 'normal_unit_scaling'
hparams.initializer_gain = 2.
# Optimization
hparams.optimizer = 'Momentum'
hparams.optimizer_momentum_momentum = 0.9
hparams.optimizer_momentum_nesterov = True
hparams.weight_decay = 1e-4
hparams.clip_grad_norm = 0.0
# (base_lr=0.1) * (batch_size=128*8 (on TPU, or 8 GPUs)=1024) / (256.)
hparams.learning_rate = 0.4
hparams.learning_rate_decay_scheme = 'cosine'
# For image_imagenet224, 120k training steps, which effectively makes this a
# cosine decay (i.e. no cycles).
hparams.learning_rate_cosine_cycle_steps = 120000
# Can run with a batch size of 128 with Problem ImageImagenet224
hparams.batch_size = 128
return hparams
|
python
|
def revnet_base():
"""Default hparams for Revnet."""
hparams = common_hparams.basic_params1()
hparams.add_hparam('num_channels', [64, 128, 256, 416])
hparams.add_hparam('num_layers_per_block', [1, 1, 10, 1])
hparams.add_hparam('bottleneck', True)
hparams.add_hparam('first_batch_norm', [False, True, True, True])
hparams.add_hparam('init_stride', 2)
hparams.add_hparam('init_kernel_size', 7)
hparams.add_hparam('init_maxpool', True)
hparams.add_hparam('strides', [1, 2, 2, 2])
hparams.add_hparam('num_channels_init_block', 64)
hparams.add_hparam('dim', '2d')
# Variable init
hparams.initializer = 'normal_unit_scaling'
hparams.initializer_gain = 2.
# Optimization
hparams.optimizer = 'Momentum'
hparams.optimizer_momentum_momentum = 0.9
hparams.optimizer_momentum_nesterov = True
hparams.weight_decay = 1e-4
hparams.clip_grad_norm = 0.0
# (base_lr=0.1) * (batch_size=128*8 (on TPU, or 8 GPUs)=1024) / (256.)
hparams.learning_rate = 0.4
hparams.learning_rate_decay_scheme = 'cosine'
# For image_imagenet224, 120k training steps, which effectively makes this a
# cosine decay (i.e. no cycles).
hparams.learning_rate_cosine_cycle_steps = 120000
# Can run with a batch size of 128 with Problem ImageImagenet224
hparams.batch_size = 128
return hparams
|
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"True",
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")",
"hparams",
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"add_hparam",
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"'init_stride'",
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"hparams",
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"add_hparam",
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"'init_kernel_size'",
",",
"7",
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"hparams",
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"add_hparam",
"(",
"'init_maxpool'",
",",
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"hparams",
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",",
"[",
"1",
",",
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",",
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",",
"64",
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"add_hparam",
"(",
"'dim'",
",",
"'2d'",
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"# Variable init",
"hparams",
".",
"initializer",
"=",
"'normal_unit_scaling'",
"hparams",
".",
"initializer_gain",
"=",
"2.",
"# Optimization",
"hparams",
".",
"optimizer",
"=",
"'Momentum'",
"hparams",
".",
"optimizer_momentum_momentum",
"=",
"0.9",
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".",
"optimizer_momentum_nesterov",
"=",
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"weight_decay",
"=",
"1e-4",
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"clip_grad_norm",
"=",
"0.0",
"# (base_lr=0.1) * (batch_size=128*8 (on TPU, or 8 GPUs)=1024) / (256.)",
"hparams",
".",
"learning_rate",
"=",
"0.4",
"hparams",
".",
"learning_rate_decay_scheme",
"=",
"'cosine'",
"# For image_imagenet224, 120k training steps, which effectively makes this a",
"# cosine decay (i.e. no cycles).",
"hparams",
".",
"learning_rate_cosine_cycle_steps",
"=",
"120000",
"# Can run with a batch size of 128 with Problem ImageImagenet224",
"hparams",
".",
"batch_size",
"=",
"128",
"return",
"hparams"
] |
Default hparams for Revnet.
|
[
"Default",
"hparams",
"for",
"Revnet",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/revnet.py#L345-L378
|
train
|
Default hparams for Revnet.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(1850 - 1739) + chr(0b11111 + 0o22) + chr(0b110011) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\063' + chr(1363 - 1314), 34327 - 34319), ehT0Px3KOsy9(chr(581 - 533) + '\x6f' + chr(50) + chr(51) + '\061', 8), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(9092 - 8981) + '\062' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\063' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\063' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(2005 - 1894) + '\063' + chr(106 - 53) + chr(603 - 550), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(5679 - 5568) + '\x33' + '\060' + chr(2108 - 2054), 0b1000), ehT0Px3KOsy9(chr(612 - 564) + chr(111) + '\061' + chr(536 - 486) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + chr(50) + '\x35' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b101110 + 0o4) + chr(0b110010), 47251 - 47243), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + '\063' + chr(51), 24414 - 24406), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b100001 + 0o116) + '\063' + chr(0b101100 + 0o5) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b100100 + 0o14) + chr(0b10011 + 0o42), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1606 - 1555) + '\061' + chr(2659 - 2605), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110110) + '\x33', 24104 - 24096), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1011 + 0o144) + chr(0b11111 + 0o23) + '\065' + '\x36', 0o10), ehT0Px3KOsy9(chr(1140 - 1092) + chr(111) + '\x32' + chr(53) + '\065', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1011 + 0o50) + chr(51) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\x36' + '\060', 0o10), ehT0Px3KOsy9(chr(1484 - 1436) + chr(6680 - 6569) + chr(0b11000 + 0o34) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(51) + '\062' + chr(0b10011 + 0o43), 61563 - 61555), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110011) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(3231 - 3120) + '\x32' + '\x30' + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101110 + 0o4) + '\x33' + '\063', 8), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(52) + chr(0b101110 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11000 + 0o31) + chr(1853 - 1801) + chr(2048 - 1993), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(1574 - 1522) + chr(525 - 476), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(6857 - 6746) + chr(0b110011) + chr(2287 - 2234) + chr(504 - 452), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5662 - 5551) + '\061' + '\066' + chr(0b110111), 38538 - 38530), ehT0Px3KOsy9('\060' + chr(10261 - 10150) + '\x31' + chr(513 - 462) + chr(0b110110), 8), ehT0Px3KOsy9(chr(170 - 122) + '\157' + '\x33' + '\x30' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110001) + chr(1227 - 1172), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b110110) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + '\x31' + chr(0b110111) + chr(0b110000 + 0o7), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9471 - 9360) + chr(0b110001) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110110 + 0o71) + chr(49) + chr(0b110011) + chr(52), 8), ehT0Px3KOsy9(chr(48) + chr(0b1010110 + 0o31) + chr(0b11011 + 0o27) + chr(0b100110 + 0o20) + chr(1839 - 1791), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + '\065' + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'r'), chr(100) + chr(0b111101 + 0o50) + '\x63' + chr(867 - 756) + chr(100) + chr(0b1001101 + 0o30))('\x75' + chr(116) + chr(0b1100110) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def PDbdBWtGtAfz():
n4ljua2gi1Pr = vLnG3ZpOXWXZ.basic_params1()
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'=\xfd\xfdJD\xeb?\x9f\xa7='), chr(100) + '\145' + '\143' + chr(111) + chr(5591 - 5491) + '\x65')('\165' + chr(116) + chr(9625 - 9523) + chr(0b100001 + 0o14) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'2\xec\xf4JO\xf3?\x83\xa85\xc1\xa1'), chr(100) + chr(0b1100101) + chr(99) + '\x6f' + chr(6293 - 6193) + chr(101))('\x75' + '\x74' + '\x66' + '\055' + chr(535 - 479)), [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\060' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(50) + '\x30' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(0b110 + 0o56) + chr(48) + chr(0b110000), 65355 - 65347), ehT0Px3KOsy9(chr(48) + '\x6f' + '\066' + chr(932 - 880) + chr(48), 0o10)])
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'=\xfd\xfdJD\xeb?\x9f\xa7='), chr(0b1100100) + chr(0b11001 + 0o114) + chr(3359 - 3260) + chr(0b1101111) + '\x64' + '\x65')(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(2133 - 2077)))(xafqLlk3kkUe(SXOLrMavuUCe(b"2\xec\xf4J@\xfa'\x88\xb4#\xf2\xa2~\xb9\x1a\xac\x1f\xc1\xce\xb1"), chr(100) + '\x65' + '\x63' + chr(12122 - 12011) + chr(0b1001100 + 0o30) + chr(0b1000100 + 0o41))(chr(117) + chr(6650 - 6534) + '\146' + '\x2d' + chr(0b111000)), [ehT0Px3KOsy9('\x30' + chr(10620 - 10509) + '\x31', 55758 - 55750), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b110 + 0o151) + '\x31', 8), ehT0Px3KOsy9(chr(1022 - 974) + chr(0b1110 + 0o141) + chr(1918 - 1869) + chr(1588 - 1538), 42763 - 42755), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + '\061', 8)])
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'=\xfd\xfdJD\xeb?\x9f\xa7='), chr(0b1010101 + 0o17) + '\145' + chr(5512 - 5413) + chr(111) + chr(0b100000 + 0o104) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'>\xf6\xeda@\xfe0\x88\xa5;'), chr(0b1100100) + chr(101) + chr(0b1000 + 0o133) + '\157' + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + '\146' + chr(45) + '\x38'), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'=\xfd\xfdJD\xeb?\x9f\xa7='), chr(0b1100100) + '\145' + chr(8542 - 8443) + '\x6f' + chr(100) + chr(0b100 + 0o141))('\165' + chr(0b1110100) + '\x66' + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b':\xf0\xebfX\xc4<\x8c\xb23\xc5\x8du\xa47\xa3'), '\144' + '\x65' + chr(1207 - 1108) + chr(111) + '\x64' + '\145')(chr(12980 - 12863) + chr(3022 - 2906) + chr(9788 - 9686) + chr(0b101101) + chr(0b100010 + 0o26)), [ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + '\x30', 8), ehT0Px3KOsy9(chr(473 - 425) + '\157' + chr(1803 - 1754), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(744 - 695), 8)])
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'=\xfd\xfdJD\xeb?\x9f\xa7='), chr(0b1100001 + 0o3) + chr(0b1011100 + 0o11) + chr(7893 - 7794) + '\x6f' + chr(100) + chr(101))(chr(117) + '\164' + chr(0b110101 + 0o61) + chr(0b1010 + 0o43) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'5\xf7\xf0as\xe8*\x9f\xaf4\xc8'), '\x64' + chr(0b110101 + 0o60) + chr(0b1100011) + '\157' + chr(0b11100 + 0o110) + chr(953 - 852))('\165' + chr(10111 - 9995) + '\x66' + '\x2d' + chr(0b1100 + 0o54)), ehT0Px3KOsy9('\x30' + chr(111) + '\062', ord("\x08")))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'=\xfd\xfdJD\xeb?\x9f\xa7='), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\x64' + chr(4867 - 4766))('\x75' + chr(6697 - 6581) + chr(102) + chr(1330 - 1285) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'5\xf7\xf0as\xf0;\x9f\xa85\xc1\x8dh\xa2?\xab'), '\144' + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(101))('\165' + chr(9885 - 9769) + chr(0b1100110) + '\055' + '\x38'), ehT0Px3KOsy9('\060' + '\157' + chr(2770 - 2715), 43440 - 43432))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'=\xfd\xfdJD\xeb?\x9f\xa7='), '\x64' + chr(101) + '\143' + chr(0b1101111) + chr(3742 - 3642) + '\145')(chr(117) + '\x74' + '\146' + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'5\xf7\xf0as\xf6?\x95\xb6?\xc2\xbe'), '\x64' + chr(0b10010 + 0o123) + chr(99) + chr(0b100011 + 0o114) + '\144' + chr(9930 - 9829))(chr(117) + '\164' + '\x66' + '\x2d' + chr(56)), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + '\061', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'=\xfd\xfdJD\xeb?\x9f\xa7='), chr(595 - 495) + chr(1679 - 1578) + chr(0b1100011) + '\x6f' + '\144' + chr(488 - 387))(chr(0b10010 + 0o143) + chr(116) + chr(102) + chr(0b1111 + 0o36) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'/\xed\xeb|H\xfe-'), '\144' + '\x65' + chr(99) + chr(2271 - 2160) + chr(6935 - 6835) + '\x65')('\165' + chr(9883 - 9767) + '\146' + chr(1896 - 1851) + '\070'), [ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + '\x31', 8), ehT0Px3KOsy9(chr(99 - 51) + chr(0b1101111) + chr(1814 - 1764), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32', 8), ehT0Px3KOsy9('\060' + '\157' + '\x32', 8)])
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'=\xfd\xfdJD\xeb?\x9f\xa7='), chr(132 - 32) + chr(3654 - 3553) + '\x63' + '\157' + chr(0b1001111 + 0o25) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b0 + 0o146) + chr(45) + chr(2756 - 2700)))(xafqLlk3kkUe(SXOLrMavuUCe(b'2\xec\xf4JO\xf3?\x83\xa85\xc1\xa1D\xa2+\xa7\x07\xf1\xcf\xb6\x9fG\xbd'), '\x64' + '\x65' + chr(541 - 442) + chr(111) + '\144' + chr(101))(chr(0b1110101) + chr(8064 - 7948) + chr(102) + chr(1946 - 1901) + chr(0b1101 + 0o53)), ehT0Px3KOsy9(chr(174 - 126) + chr(359 - 248) + chr(49) + chr(48) + chr(426 - 378), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'=\xfd\xfdJD\xeb?\x9f\xa7='), '\144' + chr(6830 - 6729) + chr(0b1100011) + chr(0b1010100 + 0o33) + chr(0b1100100) + chr(0b1100101 + 0o0))('\x75' + chr(0b1110100) + '\x66' + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'8\xf0\xf4'), chr(3314 - 3214) + chr(101) + chr(0b1100011) + chr(10263 - 10152) + chr(0b1010011 + 0o21) + chr(9284 - 9183))('\165' + chr(12697 - 12581) + chr(102) + chr(1466 - 1421) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'n\xfd'), '\144' + chr(0b1100101) + '\x63' + chr(4588 - 4477) + '\x64' + chr(0b1011 + 0o132))('\x75' + chr(0b1110100) + chr(0b1001010 + 0o34) + chr(0b101101) + chr(1642 - 1586)))
n4ljua2gi1Pr.kwfuYzkY5C57 = xafqLlk3kkUe(SXOLrMavuUCe(b'2\xf6\xebxM\xf7\x01\x98\xa89\xd9\x8dh\xa8$\xa2\x1a\xc0\xca'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(117) + chr(116) + chr(0b1100110) + chr(0b100011 + 0o12) + '\070')
n4ljua2gi1Pr.S1SbCBXLapw8 = 2.0
n4ljua2gi1Pr.XdKNcYRObPK3 = xafqLlk3kkUe(SXOLrMavuUCe(b'\x11\xf6\xf4pB\xef+\x80'), chr(0b1001010 + 0o32) + chr(5738 - 5637) + chr(0b1100011) + chr(2888 - 2777) + '\144' + chr(0b1100101))(chr(0b1100111 + 0o16) + chr(116) + chr(0b1100110) + chr(781 - 736) + '\070')
n4ljua2gi1Pr.SrqcOzGlNbqo = 0.9
n4ljua2gi1Pr.esFRGnn6yeJR = ehT0Px3KOsy9('\060' + '\157' + '\061', 8)
n4ljua2gi1Pr.eB4rJl6fUxw9 = 0.0001
n4ljua2gi1Pr.SdNSZNVkVjLh = 0.0
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.4
n4ljua2gi1Pr.v3ZnJE9Hdub1 = xafqLlk3kkUe(SXOLrMavuUCe(b'?\xf6\xea|B\xfe'), chr(0b101110 + 0o66) + '\x65' + chr(0b1011011 + 0o10) + chr(0b1101111) + '\x64' + chr(0b110101 + 0o60))('\x75' + chr(116) + chr(10018 - 9916) + chr(0b101101) + chr(741 - 685))
n4ljua2gi1Pr.Wnk8oTekUy10 = ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110101) + chr(1524 - 1474) + chr(51) + '\x30' + '\060', ord("\x08"))
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b110000) + chr(0b11110 + 0o22), 8)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/revnet.py
|
revnet_cifar_base
|
def revnet_cifar_base():
"""Tiny hparams suitable for CIFAR/etc."""
hparams = revnet_base()
hparams.num_channels_init_block = 32
hparams.first_batch_norm = [False, True, True]
hparams.init_stride = 1
hparams.init_kernel_size = 3
hparams.init_maxpool = False
hparams.strides = [1, 2, 2]
hparams.batch_size = 128
hparams.weight_decay = 1e-4
hparams.learning_rate = 0.1
hparams.learning_rate_cosine_cycle_steps = 5000
return hparams
|
python
|
def revnet_cifar_base():
"""Tiny hparams suitable for CIFAR/etc."""
hparams = revnet_base()
hparams.num_channels_init_block = 32
hparams.first_batch_norm = [False, True, True]
hparams.init_stride = 1
hparams.init_kernel_size = 3
hparams.init_maxpool = False
hparams.strides = [1, 2, 2]
hparams.batch_size = 128
hparams.weight_decay = 1e-4
hparams.learning_rate = 0.1
hparams.learning_rate_cosine_cycle_steps = 5000
return hparams
|
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Tiny hparams suitable for CIFAR/etc.
|
[
"Tiny",
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"/",
"etc",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/revnet.py#L386-L400
|
train
|
Tiny hparams suitable for CIFAR.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(622 - 574) + '\157' + '\062' + chr(1048 - 998) + chr(2933 - 2878), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b0 + 0o65) + chr(2020 - 1969), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1960 - 1909) + '\063' + chr(0b110100), 48682 - 48674), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b110100) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(2623 - 2570) + chr(0b101110 + 0o7), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(2396 - 2346) + chr(1922 - 1868), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + '\064', 16876 - 16868), ehT0Px3KOsy9(chr(1310 - 1262) + chr(0b10 + 0o155) + chr(0b100001 + 0o21) + chr(0b110100) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(50) + chr(0b100111 + 0o17) + chr(0b100 + 0o56), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1 + 0o60) + '\x36' + chr(0b10110 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(2277 - 2229) + chr(0b10 + 0o155) + chr(0b10010 + 0o37) + chr(1645 - 1591), ord("\x08")), ehT0Px3KOsy9(chr(1327 - 1279) + chr(0b1101111) + chr(0b110001) + chr(1766 - 1718) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\060' + '\x35', 0o10), ehT0Px3KOsy9(chr(2205 - 2157) + chr(0b1101111) + chr(0b110110) + chr(729 - 679), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(373 - 323) + '\060' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10669 - 10558) + chr(1689 - 1639) + chr(0b110111) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(580 - 529) + '\062' + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b110010) + '\x35', 26586 - 26578), ehT0Px3KOsy9('\060' + '\157' + chr(2419 - 2368) + chr(51) + chr(0b11111 + 0o23), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + '\063' + chr(50) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110100) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2251 - 2197) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(1959 - 1911) + chr(5733 - 5622) + chr(49) + chr(52) + '\x30', 9259 - 9251), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x30' + '\062', 10902 - 10894), ehT0Px3KOsy9(chr(1004 - 956) + '\157' + chr(0b1111 + 0o43) + chr(53) + '\x35', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(754 - 705) + chr(2762 - 2708) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1811 - 1763) + '\157' + '\061' + '\067', 51867 - 51859), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b110101) + chr(1988 - 1933), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(3519 - 3408) + chr(2225 - 2176) + '\064' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(735 - 687) + chr(0b101001 + 0o106) + '\061' + chr(49) + chr(0b101100 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(49) + chr(0b11111 + 0o30) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(2005 - 1957) + '\x6f' + chr(0b110001 + 0o0) + chr(0b11111 + 0o24), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(887 - 838) + chr(0b110001) + chr(247 - 199), 8), ehT0Px3KOsy9('\060' + '\157' + chr(1177 - 1126) + '\062' + chr(55), 5611 - 5603), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + '\x31' + chr(0b110111) + '\x35', 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(12006 - 11895) + chr(2262 - 2211) + chr(1978 - 1927) + chr(0b110000), 14354 - 14346), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b1110 + 0o43) + '\067', 58455 - 58447), ehT0Px3KOsy9('\060' + chr(0b11111 + 0o120) + chr(0b110001) + '\064' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(3797 - 3686) + chr(0b10110 + 0o33) + chr(0b1 + 0o60) + chr(0b10101 + 0o37), 34737 - 34729), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(51) + chr(54) + chr(735 - 683), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101111 + 0o6) + chr(1937 - 1889), 64332 - 64324)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9'), chr(7427 - 7327) + chr(101) + chr(0b1100011) + chr(0b1010011 + 0o34) + chr(100) + chr(0b1010 + 0o133))(chr(117) + chr(7176 - 7060) + chr(0b1100110) + chr(567 - 522) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jpFk1QXDmJ2B():
n4ljua2gi1Pr = PDbdBWtGtAfz()
n4ljua2gi1Pr.VrGd904CKwPy = ehT0Px3KOsy9('\060' + chr(0b10100 + 0o133) + chr(52) + '\x30', ord("\x08"))
n4ljua2gi1Pr.RGktndCUX5jn = [ehT0Px3KOsy9(chr(1403 - 1355) + chr(0b1101111) + chr(0b110000), 49946 - 49938), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2118 - 2069), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9951 - 9840) + chr(0b111 + 0o52), 8)]
n4ljua2gi1Pr.yZ1OiF8Zks_4 = ehT0Px3KOsy9('\x30' + chr(7515 - 7404) + chr(0b110001), 8)
n4ljua2gi1Pr.mcWV_WHIzVpI = ehT0Px3KOsy9('\060' + '\157' + chr(51), 0b1000)
n4ljua2gi1Pr.q7F2R9ZEJN0S = ehT0Px3KOsy9('\060' + '\157' + chr(0b101100 + 0o4), 8)
n4ljua2gi1Pr.r8knJmMTTKwv = [ehT0Px3KOsy9('\060' + chr(416 - 305) + chr(1720 - 1671), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100110 + 0o14), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010), 8)]
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\060' + chr(0b100001 + 0o116) + chr(1912 - 1862) + '\x30' + chr(0b110000), 0b1000)
n4ljua2gi1Pr.eB4rJl6fUxw9 = 0.0001
n4ljua2gi1Pr.QGSIpd_yUNzU = 0.1
n4ljua2gi1Pr.Wnk8oTekUy10 = ehT0Px3KOsy9(chr(252 - 204) + '\x6f' + chr(49) + chr(0b100001 + 0o20) + chr(54) + chr(0b110001) + chr(0b110000), 0b1000)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/revnet.py
|
revnet_110_cifar
|
def revnet_110_cifar():
"""Tiny hparams suitable for CIFAR/etc."""
hparams = revnet_cifar_base()
hparams.bottleneck = False
hparams.num_channels = [16, 32, 64]
hparams.num_layers_per_block = [8, 8, 8]
return hparams
|
python
|
def revnet_110_cifar():
"""Tiny hparams suitable for CIFAR/etc."""
hparams = revnet_cifar_base()
hparams.bottleneck = False
hparams.num_channels = [16, 32, 64]
hparams.num_layers_per_block = [8, 8, 8]
return hparams
|
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Tiny hparams suitable for CIFAR/etc.
|
[
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"/",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/revnet.py#L415-L421
|
train
|
Tiny hparams suitable for CIFAR and etc.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(777 - 727) + chr(0b100010 + 0o24) + chr(0b10100 + 0o36), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100011 + 0o114) + chr(0b11010 + 0o27) + chr(0b11110 + 0o30) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10439 - 10328) + '\062' + '\x30' + chr(0b110001), 46480 - 46472), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + '\062' + chr(0b110111) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110000) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110100) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + chr(759 - 705) + chr(0b110100), 39850 - 39842), ehT0Px3KOsy9(chr(48) + chr(4328 - 4217) + chr(1766 - 1716) + chr(2130 - 2079) + chr(1727 - 1672), ord("\x08")), ehT0Px3KOsy9(chr(455 - 407) + chr(11568 - 11457) + '\062' + chr(55), 54464 - 54456), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(48) + chr(0b111 + 0o56), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(0b100101 + 0o20) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x35' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1010000 + 0o37) + '\063' + '\x37' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110100) + chr(0b100110 + 0o20), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10101 + 0o36) + '\x31' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010 + 0o1) + chr(0b11100 + 0o25) + chr(0b11101 + 0o31), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110111) + '\x36', 0b1000), ehT0Px3KOsy9(chr(2090 - 2042) + chr(8665 - 8554) + chr(50) + chr(0b100 + 0o60) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x34' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b10000 + 0o42) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\066' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + '\062' + chr(0b110010) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(908 - 853) + chr(0b10100 + 0o34), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(53) + chr(747 - 697), 44786 - 44778), ehT0Px3KOsy9(chr(1754 - 1706) + chr(111) + '\x31' + chr(0b110100) + '\066', 34238 - 34230), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(0b1011 + 0o53) + chr(0b11110 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(51) + '\066' + chr(0b10000 + 0o42), 60499 - 60491), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10110 + 0o34) + chr(0b10100 + 0o42), 61284 - 61276), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b11111 + 0o22) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10010 + 0o42) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(0b101001 + 0o12) + '\063', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(54) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(1281 - 1233) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b1000 + 0o51) + '\x36' + '\x36', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\065' + chr(50), 8), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + chr(0b110001) + '\x37' + chr(0b1010 + 0o50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x36' + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\x37' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1001100 + 0o43) + chr(0b110011) + '\x35' + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1837 - 1788) + '\061' + chr(2651 - 2598), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101100 + 0o11) + chr(0b11110 + 0o22), 15447 - 15439)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c'), chr(0b110100 + 0o60) + chr(101) + '\x63' + chr(0b1001110 + 0o41) + chr(100) + chr(399 - 298))(chr(0b1110101) + chr(0b1101011 + 0o11) + '\x66' + chr(0b11101 + 0o20) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wFoQwf3JKPsW():
n4ljua2gi1Pr = jpFk1QXDmJ2B()
n4ljua2gi1Pr.Hax21lk7t3Y8 = ehT0Px3KOsy9('\x30' + chr(0b10111 + 0o130) + chr(0b101 + 0o53), 0b1000)
n4ljua2gi1Pr.X1ZpHSxyKbHn = [ehT0Px3KOsy9(chr(1184 - 1136) + '\157' + chr(50) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11101 + 0o122) + chr(0b110100) + '\060', 0o10), ehT0Px3KOsy9(chr(844 - 796) + chr(11109 - 10998) + '\061' + chr(0b110000) + chr(1052 - 1004), ord("\x08"))]
n4ljua2gi1Pr.xVVf39TAQJZ_ = [ehT0Px3KOsy9('\x30' + chr(0b101 + 0o152) + chr(0b110001) + chr(0b110 + 0o52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + chr(0b1110 + 0o43) + '\060', 8), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(558 - 509) + '\060', 8)]
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/revnet.py
|
revnet_164_cifar
|
def revnet_164_cifar():
"""Tiny hparams suitable for CIFAR/etc."""
hparams = revnet_cifar_base()
hparams.bottleneck = True
hparams.num_channels = [16, 32, 64]
hparams.num_layers_per_block = [8, 8, 8]
return hparams
|
python
|
def revnet_164_cifar():
"""Tiny hparams suitable for CIFAR/etc."""
hparams = revnet_cifar_base()
hparams.bottleneck = True
hparams.num_channels = [16, 32, 64]
hparams.num_layers_per_block = [8, 8, 8]
return hparams
|
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Tiny hparams suitable for CIFAR/etc.
|
[
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"CIFAR",
"/",
"etc",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/revnet.py#L425-L431
|
train
|
Tiny hparams suitable for CIFAR and etc.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(11243 - 11132) + chr(0b10101 + 0o34) + chr(1735 - 1685) + chr(0b100000 + 0o21), 65004 - 64996), ehT0Px3KOsy9(chr(2226 - 2178) + chr(0b1101111) + '\x33' + chr(0b1100 + 0o44) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(51) + chr(1680 - 1632), 31625 - 31617), ehT0Px3KOsy9(chr(1111 - 1063) + chr(0b1101111) + chr(51) + chr(2613 - 2560) + '\062', 61542 - 61534), ehT0Px3KOsy9(chr(1630 - 1582) + '\x6f' + '\062' + '\x36' + chr(0b100101 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(535 - 424) + chr(903 - 854), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + '\x31' + chr(55) + chr(1890 - 1840), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(2851 - 2797) + chr(52), 45847 - 45839), ehT0Px3KOsy9('\060' + chr(10172 - 10061) + chr(51) + chr(50) + '\065', 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(0b110011) + chr(1341 - 1286) + chr(54), 30533 - 30525), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(1863 - 1812) + '\065' + chr(980 - 932), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + '\x34' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110111) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(51) + '\067', 0b1000), ehT0Px3KOsy9(chr(1923 - 1875) + chr(111) + chr(0b1110 + 0o43) + chr(0b110111) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(5701 - 5590) + chr(51) + '\x30' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(914 - 863) + chr(2433 - 2381) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1849 - 1801) + chr(0b11001 + 0o126) + chr(0b11011 + 0o26) + chr(1217 - 1162) + chr(2296 - 2242), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5165 - 5054) + chr(237 - 186) + chr(1077 - 1024) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + chr(1841 - 1792) + chr(53) + '\067', 49630 - 49622), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + chr(725 - 674) + chr(1297 - 1247) + '\x31', 0b1000), ehT0Px3KOsy9(chr(52 - 4) + chr(0b1101001 + 0o6) + '\062' + chr(1818 - 1766) + chr(0b11111 + 0o27), 61218 - 61210), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + '\061' + chr(116 - 67) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1393 - 1345) + '\157' + '\x31' + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + chr(0b110111) + chr(630 - 582), 3593 - 3585), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\x36' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + '\x33' + chr(52) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(2148 - 2100) + chr(0b1101111) + chr(0b110001) + chr(932 - 882) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(50) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110010) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1114 - 1066) + chr(2277 - 2166) + '\063' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(2102 - 2054) + chr(111) + '\x32' + chr(0b110100) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10924 - 10813) + '\062' + chr(0b110101) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1069 - 1021) + chr(0b1101111) + chr(1120 - 1071) + '\065' + chr(0b10011 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(1548 - 1500) + chr(9518 - 9407) + '\x33' + chr(2287 - 2239), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1000001 + 0o56) + chr(0b110010) + chr(52) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\x33', 0b1000), ehT0Px3KOsy9(chr(1855 - 1807) + chr(8724 - 8613) + chr(0b110000 + 0o1) + chr(0b110000 + 0o2) + chr(1781 - 1726), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2388 - 2338) + '\x32' + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(10454 - 10343) + chr(107 - 58) + chr(54) + '\x37', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b101000 + 0o107) + '\065' + chr(0b100100 + 0o14), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f'), chr(0b100100 + 0o100) + chr(5754 - 5653) + chr(0b1100011) + '\x6f' + '\x64' + chr(516 - 415))(chr(5344 - 5227) + chr(0b10010 + 0o142) + chr(949 - 847) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Nj0YSw91KM1a():
n4ljua2gi1Pr = jpFk1QXDmJ2B()
n4ljua2gi1Pr.Hax21lk7t3Y8 = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31', 8)
n4ljua2gi1Pr.X1ZpHSxyKbHn = [ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1000011 + 0o54) + '\x32' + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x34' + chr(0b1000 + 0o50), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\x30' + chr(0b110000), 0b1000)]
n4ljua2gi1Pr.xVVf39TAQJZ_ = [ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11111 + 0o22) + '\060', 8), ehT0Px3KOsy9(chr(534 - 486) + chr(0b1101111) + chr(49) + '\060', 8)]
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/revnet.py
|
revnet_range
|
def revnet_range(rhp):
"""Hyperparameters for tuning revnet."""
rhp.set_float('learning_rate', 0.05, 0.2, scale=rhp.LOG_SCALE)
rhp.set_float('weight_decay', 1e-5, 1e-3, scale=rhp.LOG_SCALE)
rhp.set_discrete('num_channels_init_block', [64, 128])
return rhp
|
python
|
def revnet_range(rhp):
"""Hyperparameters for tuning revnet."""
rhp.set_float('learning_rate', 0.05, 0.2, scale=rhp.LOG_SCALE)
rhp.set_float('weight_decay', 1e-5, 1e-3, scale=rhp.LOG_SCALE)
rhp.set_discrete('num_channels_init_block', [64, 128])
return rhp
|
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] |
Hyperparameters for tuning revnet.
|
[
"Hyperparameters",
"for",
"tuning",
"revnet",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/revnet.py#L435-L440
|
train
|
Hyperparameters for tuning revnet.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(490 - 442) + '\157' + '\x37' + chr(0b11111 + 0o21), 55061 - 55053), ehT0Px3KOsy9('\x30' + chr(111) + chr(1012 - 962) + '\x37' + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(1926 - 1815) + chr(0b1010 + 0o47) + '\x34' + chr(1092 - 1037), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(11449 - 11338) + chr(0b101111 + 0o3) + chr(240 - 188) + chr(0b100100 + 0o23), 14452 - 14444), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x32' + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1851 - 1802) + '\x33' + chr(0b110010), 12802 - 12794), ehT0Px3KOsy9('\060' + chr(9139 - 9028) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(49) + '\067', 13050 - 13042), ehT0Px3KOsy9('\060' + chr(0b11110 + 0o121) + chr(0b110011) + chr(0b110110) + '\067', 32120 - 32112), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(0b1111 + 0o42) + chr(0b101 + 0o53) + chr(1304 - 1251), 11479 - 11471), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\067' + chr(0b101 + 0o54), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\x31' + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\064' + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b110101) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\065' + chr(2002 - 1953), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + '\x31' + '\x35', 20045 - 20037), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(51) + chr(53) + chr(50), 0b1000), ehT0Px3KOsy9(chr(1874 - 1826) + chr(111) + chr(1831 - 1780) + chr(0b100111 + 0o17) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1212 - 1163) + chr(48) + '\062', 0o10), ehT0Px3KOsy9(chr(1017 - 969) + '\157' + '\061' + chr(0b101001 + 0o11) + chr(0b101000 + 0o15), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011001 + 0o26) + chr(833 - 779), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b110101) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(445 - 394) + chr(1811 - 1759), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + chr(0b110011) + chr(821 - 768) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\060', 20660 - 20652), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(0b110010) + chr(0b110010) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(0b110011) + chr(0b1010 + 0o50) + chr(1418 - 1367), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4319 - 4208) + chr(0b100001 + 0o20) + chr(562 - 514) + chr(2169 - 2121), 0b1000), ehT0Px3KOsy9(chr(1400 - 1352) + chr(111) + '\062' + chr(0b110101) + '\x35', 35149 - 35141), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b10000 + 0o47) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1463 - 1415) + chr(0b11100 + 0o123) + chr(1719 - 1668) + chr(0b110001) + chr(0b1 + 0o57), 0b1000), ehT0Px3KOsy9(chr(1710 - 1662) + chr(0b110001 + 0o76) + chr(2158 - 2107) + chr(50) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(49) + chr(769 - 719), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(52) + chr(1693 - 1640), 8), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + chr(2426 - 2376) + chr(0b110110) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\x32' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(54) + chr(2232 - 2184), 28393 - 28385), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11111 + 0o22) + chr(0b101010 + 0o6) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(985 - 937) + chr(1101 - 990) + chr(0b11 + 0o57) + chr(48) + chr(0b11110 + 0o24), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b1010 + 0o54) + '\065', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(53) + chr(0b101001 + 0o7), 48499 - 48491)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x16'), chr(0b11011 + 0o111) + chr(4341 - 4240) + chr(99) + chr(6712 - 6601) + chr(0b1100100) + chr(530 - 429))(chr(0b1110101) + chr(0b1101101 + 0o7) + chr(0b1100110) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xEu16p_eaDEy(IwsgmEzQknPc):
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'K\xdc\x13\xf866i.\x83'), '\x64' + '\145' + '\143' + chr(0b1101111) + chr(220 - 120) + '\x65')('\165' + '\164' + chr(7087 - 6985) + chr(1243 - 1198) + chr(2631 - 2575)))(xafqLlk3kkUe(SXOLrMavuUCe(b'T\xdc\x06\xd5>3h(\xa87\xd8\xf8\xc0'), chr(100) + chr(0b1100101) + '\x63' + chr(6543 - 6432) + '\144' + chr(0b1010 + 0o133))(chr(0b1110101) + '\164' + chr(102) + chr(0b101101) + chr(1298 - 1242)), 0.05, 0.2, scale=xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b't\xf6 \xf8\x03\x19G\x03\xb2'), chr(100) + chr(0b100010 + 0o103) + chr(0b101100 + 0o67) + chr(0b1010001 + 0o36) + chr(0b10011 + 0o121) + '\x65')(chr(117) + chr(10874 - 10758) + chr(3568 - 3466) + chr(56 - 11) + chr(56))))
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'K\xdc\x13\xf866i.\x83'), '\144' + chr(2392 - 2291) + '\143' + chr(111) + '\144' + chr(0b1100101))(chr(117) + '\164' + chr(0b1100110) + '\x2d' + chr(0b10000 + 0o50)))(xafqLlk3kkUe(SXOLrMavuUCe(b'O\xdc\x0e\xc08.Y+\x92&\xd8\xf5'), chr(5970 - 5870) + '\145' + chr(0b101110 + 0o65) + chr(0b1101111) + chr(0b1000110 + 0o36) + chr(0b1100101))('\165' + '\x74' + '\146' + chr(45) + '\070'), 1e-05, 0.001, scale=xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b't\xf6 \xf8\x03\x19G\x03\xb2'), '\144' + chr(0b1100101) + '\x63' + chr(111) + chr(100) + '\x65')(chr(0b1110101) + chr(1309 - 1193) + chr(0b1100110) + chr(942 - 897) + '\070')))
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'K\xdc\x13\xf843u,\x85 \xcd\xe9'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b10101 + 0o117) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\x66' + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'V\xcc\n\xf832g!\x99 \xd5\xff\xfa\x87\x07d\x9e\xad 9i\x8cw'), '\144' + chr(0b1000 + 0o135) + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b111110 + 0o67) + '\x74' + chr(102) + '\x2d' + chr(0b111000)), [ehT0Px3KOsy9('\x30' + chr(0b1100110 + 0o11) + '\x31' + chr(0b1010 + 0o46) + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(10437 - 10326) + chr(0b110010) + chr(48) + chr(48), 0b1000)])
return IwsgmEzQknPc
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/basic_deterministic_params.py
|
next_frame_basic_deterministic
|
def next_frame_basic_deterministic():
"""Basic 2-frame conv model."""
hparams = base.next_frame_base()
hparams.video_num_input_frames = 4
hparams.video_num_target_frames = 1
hparams.hidden_size = 64
hparams.batch_size = 4
hparams.num_hidden_layers = 2
hparams.optimizer = "Adafactor"
hparams.learning_rate_constant = 1.5
hparams.learning_rate_warmup_steps = 8000
hparams.learning_rate_schedule = "linear_warmup * constant * rsqrt_decay"
hparams.label_smoothing = 0.0
hparams.initializer = "uniform_unit_scaling"
hparams.initializer_gain = 1.3
hparams.weight_decay = 0.0
hparams.clip_grad_norm = 1.0
hparams.dropout = 0.1
hparams.add_hparam("residual_dropout", 0.5)
hparams.add_hparam("num_compress_steps", 6)
hparams.add_hparam("filter_double_steps", 2)
hparams.add_hparam("pixel_sampling_temperature", 0.0)
hparams.add_hparam("concat_internal_states", False)
hparams.add_hparam("do_autoregressive_rnn", False)
hparams.add_hparam("autoregressive_rnn_lookback", 8)
hparams.add_hparam("autoregressive_rnn_warmup_steps", 8000)
hparams.add_hparam("activation_fn", "relu")
hparams.bottom["inputs"] = modalities.video_identity_bottom
hparams.bottom["targets"] = modalities.video_identity_bottom
return hparams
|
python
|
def next_frame_basic_deterministic():
"""Basic 2-frame conv model."""
hparams = base.next_frame_base()
hparams.video_num_input_frames = 4
hparams.video_num_target_frames = 1
hparams.hidden_size = 64
hparams.batch_size = 4
hparams.num_hidden_layers = 2
hparams.optimizer = "Adafactor"
hparams.learning_rate_constant = 1.5
hparams.learning_rate_warmup_steps = 8000
hparams.learning_rate_schedule = "linear_warmup * constant * rsqrt_decay"
hparams.label_smoothing = 0.0
hparams.initializer = "uniform_unit_scaling"
hparams.initializer_gain = 1.3
hparams.weight_decay = 0.0
hparams.clip_grad_norm = 1.0
hparams.dropout = 0.1
hparams.add_hparam("residual_dropout", 0.5)
hparams.add_hparam("num_compress_steps", 6)
hparams.add_hparam("filter_double_steps", 2)
hparams.add_hparam("pixel_sampling_temperature", 0.0)
hparams.add_hparam("concat_internal_states", False)
hparams.add_hparam("do_autoregressive_rnn", False)
hparams.add_hparam("autoregressive_rnn_lookback", 8)
hparams.add_hparam("autoregressive_rnn_warmup_steps", 8000)
hparams.add_hparam("activation_fn", "relu")
hparams.bottom["inputs"] = modalities.video_identity_bottom
hparams.bottom["targets"] = modalities.video_identity_bottom
return hparams
|
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] |
Basic 2-frame conv model.
|
[
"Basic",
"2",
"-",
"frame",
"conv",
"model",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/basic_deterministic_params.py#L27-L56
|
train
|
Basic 2 - frame conv model.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + chr(0b1001 + 0o50) + chr(1046 - 994) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1063 - 1014) + chr(0b110000) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + chr(0b110011) + chr(622 - 573) + chr(49), 14136 - 14128), ehT0Px3KOsy9('\x30' + chr(9283 - 9172) + chr(0b110011) + chr(54) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\066' + chr(49), 5347 - 5339), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110110) + chr(49), 29867 - 29859), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b0 + 0o66) + '\065', 0b1000), ehT0Px3KOsy9(chr(1706 - 1658) + chr(111) + chr(0b110010) + '\x31' + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100 + 0o143) + '\063' + chr(0b110010 + 0o5) + '\066', 35732 - 35724), ehT0Px3KOsy9(chr(48) + chr(111) + '\066' + '\061', 8), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(862 - 809) + '\066', 10240 - 10232), ehT0Px3KOsy9(chr(1006 - 958) + chr(11718 - 11607) + chr(1353 - 1304) + chr(0b10111 + 0o34) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101101 + 0o7) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + chr(0b101111 + 0o2) + '\x33', 16388 - 16380), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(52) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(3890 - 3779) + '\x33' + chr(0b110101) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(2078 - 2030) + '\157' + '\062', 63223 - 63215), ehT0Px3KOsy9('\060' + chr(0b10110 + 0o131) + '\x33' + chr(0b110000) + chr(320 - 266), 0b1000), ehT0Px3KOsy9(chr(1200 - 1152) + chr(11981 - 11870) + chr(2015 - 1966) + chr(1950 - 1901) + '\x34', 26061 - 26053), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + chr(49) + chr(2106 - 2056) + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1682 - 1627) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001110 + 0o41) + '\061' + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(5672 - 5561) + chr(50) + '\066' + chr(0b101111 + 0o3), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + chr(49) + '\x31' + chr(2794 - 2739), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(51) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + chr(0b100101 + 0o14) + '\x34' + chr(0b100010 + 0o22), 33749 - 33741), ehT0Px3KOsy9(chr(755 - 707) + chr(7558 - 7447) + chr(2052 - 2001) + chr(55) + chr(910 - 859), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11100 + 0o27) + '\x37' + '\x31', 1692 - 1684), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b11100 + 0o27) + chr(0b10110 + 0o40), 24396 - 24388), ehT0Px3KOsy9('\060' + chr(4046 - 3935) + '\x33' + '\x37' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1920 - 1871) + '\064' + '\x32', 31696 - 31688), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + chr(2317 - 2262) + chr(1819 - 1771), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001101 + 0o42) + chr(51) + chr(0b101 + 0o60) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(1194 - 1145) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\064' + chr(0b0 + 0o65), 0b1000), ehT0Px3KOsy9(chr(2267 - 2219) + chr(111) + chr(1202 - 1153) + '\x33', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(578 - 529) + chr(1903 - 1855) + chr(0b110010), 35547 - 35539), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001001 + 0o46) + chr(120 - 71) + chr(0b110001) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b111011 + 0o64) + '\063' + '\065' + chr(0b101010 + 0o7), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(1288 - 1235) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'H'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(0b1000110 + 0o36) + '\x65')('\x75' + chr(10980 - 10864) + chr(0b1100000 + 0o6) + chr(1645 - 1600) + chr(2127 - 2071)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RpiVMrfg4zTk():
n4ljua2gi1Pr = XLXqkmM_0GVx.next_frame_base()
n4ljua2gi1Pr.UUXW9NWPZxPI = ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(52), 0b1000)
n4ljua2gi1Pr.UxYiT0ZFW2SZ = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49), 0b1000)
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(48) + chr(6790 - 6679) + chr(760 - 711) + chr(0b100011 + 0o15) + '\x30', 8573 - 8565)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(3218 - 3107) + chr(0b10111 + 0o35), 8)
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + chr(0b110010), 8)
n4ljua2gi1Pr.XdKNcYRObPK3 = xafqLlk3kkUe(SXOLrMavuUCe(b"''\xa8\x96P\xd2\x01\xe4\x8c"), chr(0b1100100) + chr(0b10011 + 0o122) + chr(99) + chr(0b1101111) + '\144' + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(1829 - 1727) + '\x2d' + chr(2725 - 2669))
n4ljua2gi1Pr.Ot9HUjnkxXA_ = 1.5
n4ljua2gi1Pr.fHyhoyGmdvM9 = ehT0Px3KOsy9(chr(1627 - 1579) + chr(111) + chr(49) + chr(55) + chr(53) + '\x30' + chr(0b100001 + 0o17), 10244 - 10236)
n4ljua2gi1Pr.Lz_s7neUzM5V = xafqLlk3kkUe(SXOLrMavuUCe(b'\n*\xa7\x95P\xc3*\xfc\x9fC\xc3*U+\x8f0\x8em\xa8?!]c\xc6o\xb0D\x89\x8a\xaf\x8a\x16g\x8f-\x86j;'), chr(1222 - 1122) + chr(0b1100101) + '\143' + chr(3333 - 3222) + '\144' + '\145')(chr(4021 - 3904) + chr(0b11011 + 0o131) + chr(102) + chr(0b101101) + chr(0b111000))
n4ljua2gi1Pr.FSjUgdaczzRk = 0.0
n4ljua2gi1Pr.kwfuYzkY5C57 = xafqLlk3kkUe(SXOLrMavuUCe(b'\x13-\xa0\x96^\xc3\x18\xd4\x8b_\xc7+zx\xc6q\x81k\xa8+'), chr(100) + chr(0b101111 + 0o66) + chr(99) + chr(111) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(4023 - 3921) + '\055' + '\x38')
n4ljua2gi1Pr.S1SbCBXLapw8 = 1.3
n4ljua2gi1Pr.eB4rJl6fUxw9 = 0.0
n4ljua2gi1Pr.SdNSZNVkVjLh = 1.0
n4ljua2gi1Pr.ag0mwEgWzjYv = 0.1
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x07'\xad\xafY\xc1\x14\xf9\x9f\\"), chr(0b10 + 0o142) + '\x65' + chr(4423 - 4324) + '\x6f' + chr(0b11100 + 0o110) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x14&\xba\x99U\xc4\x14\xe7\xa1U\xdc0Ud\xd0d'), '\x64' + chr(101) + '\143' + '\157' + chr(5995 - 5895) + chr(101))(chr(2698 - 2581) + '\164' + chr(0b1010110 + 0o20) + chr(0b100011 + 0o12) + '\070'), 0.5)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x07'\xad\xafY\xc1\x14\xf9\x9f\\"), '\144' + chr(0b1010010 + 0o23) + chr(99) + chr(111) + chr(0b110 + 0o136) + chr(718 - 617))(chr(117) + '\x74' + chr(6737 - 6635) + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x086\xa4\xafR\xde\x18\xfb\x8cT\xdd,zx\xd1u\x9dq'), '\x64' + chr(0b110011 + 0o62) + chr(2124 - 2025) + chr(3483 - 3372) + chr(4636 - 4536) + '\x65')(chr(5749 - 5632) + chr(9710 - 9594) + '\x66' + chr(602 - 557) + chr(0b100000 + 0o30)), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(1281 - 1227), 0o10))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x07'\xad\xafY\xc1\x14\xf9\x9f\\"), '\x64' + chr(0b1100101) + chr(99) + '\157' + chr(7830 - 7730) + '\145')(chr(117) + '\x74' + '\146' + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x00*\xa5\x84T\xc3*\xef\x91D\xcc3@T\xd6d\x88r\xb5'), chr(0b1000011 + 0o41) + chr(0b101100 + 0o71) + chr(1403 - 1304) + chr(0b1101111) + chr(6434 - 6334) + chr(0b1100101))(chr(0b11001 + 0o134) + chr(653 - 537) + chr(0b1000111 + 0o37) + '\x2d' + '\070'), ehT0Px3KOsy9('\060' + '\157' + chr(0b11010 + 0o30), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x07'\xad\xafY\xc1\x14\xf9\x9f\\"), chr(3911 - 3811) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(4874 - 4774) + chr(0b1000 + 0o135))(chr(0b101001 + 0o114) + chr(0b1110100) + chr(102) + chr(783 - 738) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b"\x16*\xb1\x95]\xee\x06\xea\x93A\xc26Kl\xfad\x88o\xb6)']y\xc7=\xff"), chr(8668 - 8568) + '\145' + '\x63' + chr(0b1100110 + 0o11) + chr(0b1100100) + chr(9257 - 9156))(chr(0b1101 + 0o150) + '\x74' + chr(0b110101 + 0o61) + chr(0b101101) + '\x38'), 0.0)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x07'\xad\xafY\xc1\x14\xf9\x9f\\"), '\144' + '\x65' + chr(2105 - 2006) + chr(0b1101111) + chr(100) + chr(0b101011 + 0o72))(chr(117) + chr(1379 - 1263) + chr(102) + '\055' + chr(1631 - 1575)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x05,\xa7\x93P\xc5*\xe2\x90E\xcb-Kj\xc9O\x9ev\xa780O'), chr(100) + chr(0b1100000 + 0o5) + chr(99) + '\x6f' + chr(0b1100100) + chr(2540 - 2439))(chr(0b1100011 + 0o22) + '\164' + chr(102) + chr(0b10100 + 0o31) + '\x38'), ehT0Px3KOsy9(chr(48) + chr(0b1011111 + 0o20) + chr(48), 9468 - 9460))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x07'\xad\xafY\xc1\x14\xf9\x9f\\"), '\x64' + '\x65' + chr(0b1100011) + '\157' + chr(6220 - 6120) + '\x65')('\165' + chr(0b101100 + 0o110) + '\146' + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x02,\x96\x91D\xc5\x1a\xf9\x9bV\xdc:Vx\xccf\x88]\xb4";'), chr(0b1100100) + '\145' + '\x63' + chr(5260 - 5149) + chr(0b111111 + 0o45) + chr(101))('\165' + chr(1781 - 1665) + '\x66' + chr(0b100101 + 0o10) + chr(871 - 815)), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + '\x30', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x07'\xad\xafY\xc1\x14\xf9\x9f\\"), chr(0b1100100) + chr(8642 - 8541) + '\143' + chr(8860 - 8749) + chr(100) + '\x65')('\x75' + chr(1724 - 1608) + chr(0b1100011 + 0o3) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x076\xbd\x9fC\xd4\x12\xf9\x9bB\xdd6Sn\xfab\x83l\x99 :Sf\xd0.\xf9\x0f'), chr(0b10001 + 0o123) + chr(101) + chr(0b101100 + 0o67) + '\157' + chr(0b1100100) + chr(101))(chr(117) + chr(116) + chr(6064 - 5962) + chr(0b101101) + chr(56)), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b10110 + 0o32), ord("\x08")))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x07'\xad\xafY\xc1\x14\xf9\x9f\\"), '\144' + '\145' + chr(0b1100011) + chr(0b1010101 + 0o32) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(3252 - 3150) + chr(1811 - 1766) + chr(0b110101 + 0o3)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x076\xbd\x9fC\xd4\x12\xf9\x9bB\xdd6Sn\xfab\x83l\x99;4N`\xc7?\xc5\x17\x8f\x9c\xae\x8b'), chr(0b10101 + 0o117) + chr(0b1100101) + '\x63' + '\x6f' + chr(100) + '\145')(chr(0b1110101) + chr(0b1001110 + 0o46) + chr(0b1010010 + 0o24) + chr(1914 - 1869) + chr(0b1100 + 0o54)), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b11010 + 0o35) + '\065' + chr(0b10000 + 0o40) + '\060', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b"\x07'\xad\xafY\xc1\x14\xf9\x9f\\"), chr(8950 - 8850) + chr(8027 - 7926) + '\143' + chr(9742 - 9631) + chr(6202 - 6102) + chr(3979 - 3878))(chr(0b111 + 0o156) + chr(0b1000110 + 0o56) + chr(0b1100110) + chr(0b101101) + chr(0b10010 + 0o46)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x07 \xbd\x99G\xd0\x01\xe2\x91_\xf19K'), '\144' + '\145' + chr(0b1000 + 0o133) + '\157' + chr(0b1001000 + 0o34) + chr(0b1100101))(chr(0b1001111 + 0o46) + chr(0b101100 + 0o110) + chr(0b1001 + 0o135) + chr(45) + chr(2206 - 2150)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x14&\xa5\x85'), chr(100) + '\x65' + chr(421 - 322) + chr(709 - 598) + chr(100) + chr(0b110101 + 0o60))(chr(117) + chr(116) + '\x66' + chr(497 - 452) + chr(0b111 + 0o61)))
n4ljua2gi1Pr.kXxsZxlIQUSQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f-\xb9\x85E\xc2'), '\144' + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1010010 + 0o22) + chr(0b1100100 + 0o1))(chr(0b1110101) + chr(3442 - 3326) + chr(0b1100110) + '\055' + chr(56))] = PuPeNl0CuqOQ.video_identity_bottom
n4ljua2gi1Pr.kXxsZxlIQUSQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x12"\xbb\x97T\xc5\x06'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(111) + chr(0b1000000 + 0o44) + '\145')(chr(0b1000110 + 0o57) + chr(116) + '\x66' + chr(695 - 650) + chr(0b1101 + 0o53))] = PuPeNl0CuqOQ.video_identity_bottom
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/basic_deterministic_params.py
|
next_frame_pixel_noise
|
def next_frame_pixel_noise():
"""Basic 2-frame conv model with pixel noise."""
hparams = next_frame_basic_deterministic()
hparams.add_hparam("video_modality_input_noise", 0.05)
hparams.bottom["inputs"] = modalities.video_pixel_noise_bottom
hparams.top["inputs"] = modalities.video_top
return hparams
|
python
|
def next_frame_pixel_noise():
"""Basic 2-frame conv model with pixel noise."""
hparams = next_frame_basic_deterministic()
hparams.add_hparam("video_modality_input_noise", 0.05)
hparams.bottom["inputs"] = modalities.video_pixel_noise_bottom
hparams.top["inputs"] = modalities.video_top
return hparams
|
[
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"=",
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")",
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",",
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".",
"top",
"[",
"\"inputs\"",
"]",
"=",
"modalities",
".",
"video_top",
"return",
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] |
Basic 2-frame conv model with pixel noise.
|
[
"Basic",
"2",
"-",
"frame",
"conv",
"model",
"with",
"pixel",
"noise",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/basic_deterministic_params.py#L60-L66
|
train
|
Basic 2 - frame conv model with pixel noise.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1001101 + 0o42) + chr(1544 - 1493) + '\x32' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(53) + chr(2651 - 2598), 4877 - 4869), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(1165 - 1117) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(12046 - 11935) + chr(0b110100), 26499 - 26491), ehT0Px3KOsy9(chr(0b110000) + chr(8497 - 8386) + chr(1023 - 972) + chr(48) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\067' + chr(0b101111 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2692 - 2581) + chr(0b110010) + '\x35' + chr(1102 - 1054), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(50) + '\066' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(53) + chr(1855 - 1805), 0b1000), ehT0Px3KOsy9(chr(2022 - 1974) + chr(10118 - 10007) + chr(0b110011) + chr(0b101000 + 0o17), 0b1000), ehT0Px3KOsy9(chr(1504 - 1456) + '\157' + chr(51) + chr(2148 - 2096) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(815 - 767) + '\157' + chr(0b11 + 0o56) + chr(52) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1011 + 0o46) + chr(2792 - 2737) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + chr(49) + '\066' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3379 - 3268) + chr(51) + '\x31' + chr(1040 - 992), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\x32' + chr(267 - 214), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(54) + chr(0b1111 + 0o42), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\x34' + chr(0b1011 + 0o47), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110100) + chr(0b110101), 40023 - 40015), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(10073 - 9962) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9835 - 9724) + '\x33' + chr(2270 - 2216), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101110 + 0o6) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2088 - 2037) + '\x32' + '\064', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1514 - 1465) + chr(2142 - 2088) + chr(54), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10010 + 0o41) + chr(106 - 51) + chr(0b1111 + 0o47), 0o10), ehT0Px3KOsy9(chr(1931 - 1883) + '\157' + chr(0b101011 + 0o10) + chr(0b110001) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x30' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1818 - 1770) + chr(0b100011 + 0o114) + chr(49) + chr(0b1001 + 0o50), 59773 - 59765), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + chr(55) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2716 - 2605) + chr(0b110011) + chr(0b110110 + 0o1) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + '\062' + '\060' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + '\063' + chr(2017 - 1965) + chr(52), 61501 - 61493), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(244 - 193) + '\x31' + chr(0b100111 + 0o14), 59851 - 59843), ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + '\061' + chr(0b110 + 0o60) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(2191 - 2142) + '\x32' + chr(0b110100), 7461 - 7453), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\x37' + chr(112 - 63), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + chr(51) + '\x36' + chr(55), 34029 - 34021), ehT0Px3KOsy9(chr(1528 - 1480) + chr(0b1101111) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(1693 - 1645) + '\062', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(647 - 599) + chr(0b1000011 + 0o54) + chr(53) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb'), chr(0b110 + 0o136) + chr(101) + '\x63' + chr(0b1101111) + '\x64' + chr(0b1111 + 0o126))(chr(0b1110101) + '\164' + chr(6478 - 6376) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def YgYcP9mwEHoq():
n4ljua2gi1Pr = RpiVMrfg4zTk()
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\xc9\xa7[\xa8\x8f\xc9\xc0\xcbr'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + '\x64' + chr(0b101001 + 0o74))(chr(0b1110101) + chr(13123 - 13007) + '\146' + '\x2d' + chr(0b110010 + 0o6)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\xc4\xa7a\xaf\xa0\xc5\xdd\xce~\x89\t\x0f\x0f\x97p\xfb\x81\x17Q\\pN\xbd\x05\x9b'), chr(0b1100100) + '\145' + chr(3579 - 3480) + '\x6f' + chr(100) + chr(101))(chr(0b100111 + 0o116) + chr(1143 - 1027) + chr(10299 - 10197) + chr(853 - 808) + chr(0b110000 + 0o10)), 0.05)
n4ljua2gi1Pr.kXxsZxlIQUSQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\xc3\xb3q\xb4\x8c'), '\x64' + chr(0b1011011 + 0o12) + chr(3754 - 3655) + '\x6f' + chr(0b1100100) + chr(1081 - 980))(chr(0b110011 + 0o102) + '\x74' + chr(8746 - 8644) + chr(0b10010 + 0o33) + chr(0b100110 + 0o22))] = PuPeNl0CuqOQ.video_pixel_noise_bottom
n4ljua2gi1Pr.qxrVBjeryNEZ[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\xc3\xb3q\xb4\x8c'), chr(0b1100100) + chr(0b110110 + 0o57) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))(chr(117) + chr(10743 - 10627) + chr(0b110110 + 0o60) + '\x2d' + '\x38')] = PuPeNl0CuqOQ.video_top
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/basic_deterministic_params.py
|
next_frame_sampling
|
def next_frame_sampling():
"""Basic conv model with scheduled sampling."""
hparams = next_frame_basic_deterministic()
hparams.scheduled_sampling_mode = "prob_inverse_exp"
hparams.scheduled_sampling_max_prob = 1.0
hparams.scheduled_sampling_decay_steps = 10000
return hparams
|
python
|
def next_frame_sampling():
"""Basic conv model with scheduled sampling."""
hparams = next_frame_basic_deterministic()
hparams.scheduled_sampling_mode = "prob_inverse_exp"
hparams.scheduled_sampling_max_prob = 1.0
hparams.scheduled_sampling_decay_steps = 10000
return hparams
|
[
"def",
"next_frame_sampling",
"(",
")",
":",
"hparams",
"=",
"next_frame_basic_deterministic",
"(",
")",
"hparams",
".",
"scheduled_sampling_mode",
"=",
"\"prob_inverse_exp\"",
"hparams",
".",
"scheduled_sampling_max_prob",
"=",
"1.0",
"hparams",
".",
"scheduled_sampling_decay_steps",
"=",
"10000",
"return",
"hparams"
] |
Basic conv model with scheduled sampling.
|
[
"Basic",
"conv",
"model",
"with",
"scheduled",
"sampling",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/basic_deterministic_params.py#L79-L85
|
train
|
Basic conv model with scheduled sampling.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(1062 - 1011) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1578 - 1523) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + '\061' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(285 - 237) + chr(0b1101111) + chr(0b110010) + chr(0b110001 + 0o0) + chr(49), 39712 - 39704), ehT0Px3KOsy9(chr(48) + chr(1546 - 1435) + chr(0b10100 + 0o35) + '\x32' + chr(288 - 239), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b110010) + chr(1107 - 1058), 8), ehT0Px3KOsy9('\060' + chr(0b100010 + 0o115) + '\x31' + '\062' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + '\x31' + '\x34', 9414 - 9406), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1291 - 1236) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(2159 - 2111) + chr(11372 - 11261) + '\x31' + '\x37' + chr(0b1011 + 0o45), 12004 - 11996), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + chr(829 - 780) + '\x33' + chr(1177 - 1126), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10010 + 0o41) + chr(1551 - 1501) + chr(0b110111), 50477 - 50469), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\x31' + '\x32' + chr(0b11 + 0o56), 8), ehT0Px3KOsy9('\x30' + chr(2989 - 2878) + '\063' + chr(378 - 327) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(5553 - 5442) + chr(1360 - 1311) + chr(51) + chr(324 - 271), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(0b10001 + 0o40) + '\067' + chr(0b100110 + 0o13), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111010 + 0o65) + chr(0b11011 + 0o30) + '\063' + chr(0b100011 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(450 - 402) + chr(111) + chr(159 - 108) + '\x32' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1635 - 1587) + chr(0b101101 + 0o102) + chr(53) + chr(0b111 + 0o56), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2344 - 2291) + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b1 + 0o61) + chr(50) + chr(710 - 658), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(5699 - 5588) + chr(0b110001) + chr(0b110000 + 0o3) + '\065', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10000 + 0o42) + chr(52) + chr(54), 36121 - 36113), ehT0Px3KOsy9(chr(2185 - 2137) + chr(0b1101111) + chr(49) + chr(2299 - 2251) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2157 - 2046) + '\x36' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1513 - 1464) + chr(2225 - 2171), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(226 - 172) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(5019 - 4908) + '\x32' + '\x35' + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(1744 - 1690) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\063' + chr(0b100 + 0o55), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(49) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(53) + chr(48), 0b1000), ehT0Px3KOsy9(chr(189 - 141) + '\x6f' + chr(1747 - 1697) + chr(2127 - 2075) + '\064', 61743 - 61735), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1561 - 1512) + chr(0b110000 + 0o2) + chr(1575 - 1527), ord("\x08")), ehT0Px3KOsy9(chr(2006 - 1958) + chr(0b1101111) + chr(0b110011) + chr(53) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + chr(0b110011) + chr(48) + chr(2173 - 2119), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(0b110011) + '\x32' + chr(0b100100 + 0o16), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(7660 - 7549) + chr(50) + '\064' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(890 - 839) + '\065' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b100001 + 0o23), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'7'), chr(100) + chr(0b1100101) + '\x63' + '\x6f' + chr(1441 - 1341) + chr(0b110110 + 0o57))(chr(0b1101000 + 0o15) + chr(116) + chr(0b1100110) + chr(1627 - 1582) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ppG02FVYZccV():
n4ljua2gi1Pr = RpiVMrfg4zTk()
n4ljua2gi1Pr.RnAcJFv3oEFN = xafqLlk3kkUe(SXOLrMavuUCe(b'iOe\xeb\x0e89zY\n(\xb2\x0e\xbd%\t'), chr(0b1100100) + chr(0b1100101) + chr(8142 - 8043) + chr(111) + chr(6373 - 6273) + chr(101))(chr(117) + chr(0b1011010 + 0o32) + chr(0b110001 + 0o65) + chr(0b10000 + 0o35) + '\x38')
n4ljua2gi1Pr.uUU7a3EfxKmU = 1.0
n4ljua2gi1Pr.akJlwdygthZ5 = ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(50) + '\x33' + '\064' + chr(0b1001 + 0o51) + '\060', ord("\x08"))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/basic_deterministic_params.py
|
next_frame_ae
|
def next_frame_ae():
"""Conv autoencoder."""
hparams = next_frame_basic_deterministic()
hparams.bottom["inputs"] = modalities.video_bitwise_bottom
hparams.top["inputs"] = modalities.video_top
hparams.hidden_size = 256
hparams.batch_size = 8
hparams.num_hidden_layers = 4
hparams.num_compress_steps = 4
hparams.dropout = 0.4
return hparams
|
python
|
def next_frame_ae():
"""Conv autoencoder."""
hparams = next_frame_basic_deterministic()
hparams.bottom["inputs"] = modalities.video_bitwise_bottom
hparams.top["inputs"] = modalities.video_top
hparams.hidden_size = 256
hparams.batch_size = 8
hparams.num_hidden_layers = 4
hparams.num_compress_steps = 4
hparams.dropout = 0.4
return hparams
|
[
"def",
"next_frame_ae",
"(",
")",
":",
"hparams",
"=",
"next_frame_basic_deterministic",
"(",
")",
"hparams",
".",
"bottom",
"[",
"\"inputs\"",
"]",
"=",
"modalities",
".",
"video_bitwise_bottom",
"hparams",
".",
"top",
"[",
"\"inputs\"",
"]",
"=",
"modalities",
".",
"video_top",
"hparams",
".",
"hidden_size",
"=",
"256",
"hparams",
".",
"batch_size",
"=",
"8",
"hparams",
".",
"num_hidden_layers",
"=",
"4",
"hparams",
".",
"num_compress_steps",
"=",
"4",
"hparams",
".",
"dropout",
"=",
"0.4",
"return",
"hparams"
] |
Conv autoencoder.
|
[
"Conv",
"autoencoder",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/basic_deterministic_params.py#L96-L106
|
train
|
Conv autoencoder hparams.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10 + 0o57) + chr(51) + chr(50), 0b1000), ehT0Px3KOsy9(chr(1213 - 1165) + chr(2197 - 2086) + chr(49) + '\x30' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001 + 0o6) + '\064', 50627 - 50619), ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 19075 - 19067), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(797 - 749) + chr(0b1010 + 0o47), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b110010) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + chr(0b10101 + 0o36) + '\x36' + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b11110 + 0o24) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(652 - 541) + chr(0b110101) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(55) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + chr(0b110001) + chr(0b110100) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\067', 47860 - 47852), ehT0Px3KOsy9(chr(675 - 627) + '\x6f' + chr(0b110011) + '\x30' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(2210 - 2162) + chr(1536 - 1425) + chr(0b110011) + chr(55) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + chr(50) + chr(0b110101 + 0o1) + chr(0b1 + 0o61), 0o10), ehT0Px3KOsy9(chr(1184 - 1136) + '\157' + '\061' + chr(0b10010 + 0o43) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(55) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(223 - 175) + chr(111) + chr(0b110001) + chr(0b100110 + 0o21) + chr(0b11 + 0o56), 29914 - 29906), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\064' + chr(1054 - 1001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101100 + 0o103) + chr(2074 - 2024) + chr(0b110010) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(54) + '\064', 0b1000), ehT0Px3KOsy9(chr(208 - 160) + '\x6f' + '\x32' + '\x36' + chr(0b110000), 44693 - 44685), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(3356 - 3245) + '\x33' + '\x32' + chr(0b1101 + 0o46), 6311 - 6303), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + '\062' + '\x33' + chr(1507 - 1454), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + chr(0b10110 + 0o35) + '\065', 60988 - 60980), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(816 - 765) + '\061' + chr(1504 - 1452), 0o10), ehT0Px3KOsy9('\060' + chr(0b10100 + 0o133) + '\067', 48497 - 48489), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b100111 + 0o110) + chr(51) + chr(52) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(589 - 478) + chr(0b101000 + 0o17) + chr(2804 - 2750), 8), ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + chr(199 - 149) + chr(2841 - 2787), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101111 + 0o4) + chr(51) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10011 + 0o36) + chr(0b110101) + chr(1612 - 1564), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(49) + chr(0b110000) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + '\x31', 8), ehT0Px3KOsy9('\060' + chr(10762 - 10651) + chr(2020 - 1968), 0b1000), ehT0Px3KOsy9('\x30' + chr(1171 - 1060) + chr(50) + chr(54) + chr(479 - 424), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + '\x36' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10111 + 0o130) + '\x31' + '\x36' + '\062', 46605 - 46597), ehT0Px3KOsy9(chr(1478 - 1430) + chr(0b1101111) + chr(0b11110 + 0o24) + chr(0b100110 + 0o14) + chr(0b101001 + 0o10), 4136 - 4128), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(1699 - 1646) + chr(1853 - 1799), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\065' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b't'), chr(705 - 605) + chr(3073 - 2972) + '\143' + '\x6f' + chr(6646 - 6546) + chr(0b100100 + 0o101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nY3_1Sb1B_mx():
n4ljua2gi1Pr = RpiVMrfg4zTk()
n4ljua2gi1Pr.kXxsZxlIQUSQ[xafqLlk3kkUe(SXOLrMavuUCe(b'3.Lt\xf5\xe5'), chr(0b100011 + 0o101) + chr(0b1100101) + chr(5898 - 5799) + '\x6f' + chr(3094 - 2994) + '\145')(chr(117) + chr(0b1010000 + 0o44) + '\146' + chr(0b101101) + chr(0b11111 + 0o31))] = PuPeNl0CuqOQ.video_bitwise_bottom
n4ljua2gi1Pr.qxrVBjeryNEZ[xafqLlk3kkUe(SXOLrMavuUCe(b'3.Lt\xf5\xe5'), chr(100) + chr(0b101010 + 0o73) + chr(0b100011 + 0o100) + chr(111) + chr(0b111000 + 0o54) + chr(2853 - 2752))(chr(0b1110101) + chr(0b1001011 + 0o51) + chr(0b101110 + 0o70) + chr(396 - 351) + chr(56))] = PuPeNl0CuqOQ.video_top
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1823 - 1771) + chr(1517 - 1469) + chr(0b110000), 0b1000)
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9('\x30' + chr(0b1000010 + 0o55) + '\x31' + chr(0b10 + 0o56), 61434 - 61426)
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9('\x30' + '\157' + chr(52), 8)
n4ljua2gi1Pr._y1Py7UE3OKS = ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x34', 8)
n4ljua2gi1Pr.ag0mwEgWzjYv = 0.4
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/basic_deterministic_params.py
|
next_frame_ae_tiny
|
def next_frame_ae_tiny():
"""Conv autoencoder, tiny set for testing."""
hparams = next_frame_tiny()
hparams.bottom["inputs"] = modalities.video_bitwise_bottom
hparams.top["inputs"] = modalities.video_top
hparams.batch_size = 8
hparams.dropout = 0.4
return hparams
|
python
|
def next_frame_ae_tiny():
"""Conv autoencoder, tiny set for testing."""
hparams = next_frame_tiny()
hparams.bottom["inputs"] = modalities.video_bitwise_bottom
hparams.top["inputs"] = modalities.video_top
hparams.batch_size = 8
hparams.dropout = 0.4
return hparams
|
[
"def",
"next_frame_ae_tiny",
"(",
")",
":",
"hparams",
"=",
"next_frame_tiny",
"(",
")",
"hparams",
".",
"bottom",
"[",
"\"inputs\"",
"]",
"=",
"modalities",
".",
"video_bitwise_bottom",
"hparams",
".",
"top",
"[",
"\"inputs\"",
"]",
"=",
"modalities",
".",
"video_top",
"hparams",
".",
"batch_size",
"=",
"8",
"hparams",
".",
"dropout",
"=",
"0.4",
"return",
"hparams"
] |
Conv autoencoder, tiny set for testing.
|
[
"Conv",
"autoencoder",
"tiny",
"set",
"for",
"testing",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/basic_deterministic_params.py#L110-L117
|
train
|
Conv autoencoder tiny set for testing.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1110 - 1062) + '\x6f' + chr(50) + chr(0b11110 + 0o25) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + chr(51) + chr(2763 - 2708) + chr(0b11110 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(688 - 640) + chr(12236 - 12125) + chr(0b110011) + '\061' + chr(1286 - 1236), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110100) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(8931 - 8820) + chr(0b110011) + '\061' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1110 + 0o45) + '\062' + chr(632 - 584), 38196 - 38188), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x32' + chr(2753 - 2699), 23282 - 23274), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(51) + chr(0b100110 + 0o12), 0b1000), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + chr(0b10110 + 0o33) + '\x31' + chr(50), 42490 - 42482), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11100 + 0o25) + '\x31' + chr(54), 43148 - 43140), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(420 - 369) + '\060' + chr(2462 - 2409), 0b1000), ehT0Px3KOsy9(chr(1253 - 1205) + '\157' + chr(0b110010) + '\x37' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + chr(1459 - 1404), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b10001 + 0o46) + chr(0b100010 + 0o21), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(1995 - 1944) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10248 - 10137) + chr(0b1101 + 0o52) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100011 + 0o17) + chr(50) + chr(53), 10840 - 10832), ehT0Px3KOsy9(chr(2155 - 2107) + chr(111) + '\063' + '\064' + '\x30', 27430 - 27422), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b11111 + 0o120) + chr(0b110001) + chr(554 - 504) + chr(53), 0o10), ehT0Px3KOsy9(chr(816 - 768) + chr(0b1101111) + chr(0b10100 + 0o35) + '\x36' + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + chr(0b11 + 0o60) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b11010 + 0o125) + '\x32' + chr(0b11101 + 0o31) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1 + 0o65) + chr(1385 - 1333), 35520 - 35512), ehT0Px3KOsy9('\060' + chr(111) + chr(55) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(49) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5489 - 5378) + '\x33' + '\062' + '\060', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11100 + 0o27) + '\066' + chr(0b1010 + 0o53), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b100101 + 0o16) + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + chr(11251 - 11140) + chr(49) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\067' + '\x32', 1895 - 1887), ehT0Px3KOsy9(chr(737 - 689) + chr(10788 - 10677) + '\063' + chr(55) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(49) + '\064' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(907 - 859) + chr(0b1101111) + '\061' + chr(0b110010) + '\065', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\062' + '\x34', 0o10), ehT0Px3KOsy9(chr(1734 - 1686) + chr(111) + chr(0b1100 + 0o46) + chr(0b110011) + chr(0b110101 + 0o1), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110000 + 0o2) + chr(0b11011 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b1011 + 0o46) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\x36' + '\065', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b101011 + 0o6) + chr(52), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(184 - 136) + chr(1004 - 893) + chr(0b101001 + 0o14) + chr(1533 - 1485), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3'), '\x64' + '\x65' + '\x63' + chr(0b1101000 + 0o7) + '\144' + chr(101))(chr(815 - 698) + chr(0b11001 + 0o133) + chr(7159 - 7057) + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def z_s2RevTsF5t():
n4ljua2gi1Pr = nqL4SlqG7opA()
n4ljua2gi1Pr.kXxsZxlIQUSQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x95\xba\xd6\xb9\xa3'), chr(0b100110 + 0o76) + '\145' + chr(0b1001000 + 0o33) + chr(0b1101111) + '\x64' + '\145')(chr(13211 - 13094) + chr(8985 - 8869) + '\x66' + '\055' + chr(0b110010 + 0o6))] = PuPeNl0CuqOQ.video_bitwise_bottom
n4ljua2gi1Pr.qxrVBjeryNEZ[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x95\xba\xd6\xb9\xa3'), '\x64' + '\x65' + chr(0b1100011) + '\x6f' + chr(7391 - 7291) + '\x65')(chr(0b11 + 0o162) + '\x74' + chr(0b1100110) + chr(45) + chr(0b111000))] = PuPeNl0CuqOQ.video_top
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(2242 - 2194), ord("\x08"))
n4ljua2gi1Pr.ag0mwEgWzjYv = 0.4
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/basic_deterministic_params.py
|
next_frame_tiny
|
def next_frame_tiny():
"""Tiny for testing."""
hparams = next_frame_basic_deterministic()
hparams.hidden_size = 32
hparams.num_hidden_layers = 1
hparams.num_compress_steps = 2
hparams.filter_double_steps = 1
return hparams
|
python
|
def next_frame_tiny():
"""Tiny for testing."""
hparams = next_frame_basic_deterministic()
hparams.hidden_size = 32
hparams.num_hidden_layers = 1
hparams.num_compress_steps = 2
hparams.filter_double_steps = 1
return hparams
|
[
"def",
"next_frame_tiny",
"(",
")",
":",
"hparams",
"=",
"next_frame_basic_deterministic",
"(",
")",
"hparams",
".",
"hidden_size",
"=",
"32",
"hparams",
".",
"num_hidden_layers",
"=",
"1",
"hparams",
".",
"num_compress_steps",
"=",
"2",
"hparams",
".",
"filter_double_steps",
"=",
"1",
"return",
"hparams"
] |
Tiny for testing.
|
[
"Tiny",
"for",
"testing",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/basic_deterministic_params.py#L129-L136
|
train
|
Tiny for testing.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + '\062' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b101111 + 0o100) + chr(0b11001 + 0o31) + '\x36' + chr(0b110010), 25986 - 25978), ehT0Px3KOsy9(chr(2005 - 1957) + chr(11790 - 11679) + chr(0b11101 + 0o25) + chr(320 - 268) + chr(309 - 258), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1010 + 0o47) + chr(0b101101 + 0o10) + chr(810 - 762), 28926 - 28918), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b101110 + 0o3) + chr(48), 20643 - 20635), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110100) + chr(2692 - 2638), 59091 - 59083), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(0b10000 + 0o42) + '\x31' + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + chr(2285 - 2234) + '\x30' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + '\061' + '\x30' + chr(0b11111 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101001 + 0o11) + '\061' + chr(1115 - 1065), 0o10), ehT0Px3KOsy9(chr(48) + chr(356 - 245) + chr(0b110011) + chr(53) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + '\x32' + chr(0b110110) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(0b110010) + chr(0b110000) + chr(2398 - 2344), 0b1000), ehT0Px3KOsy9('\060' + chr(11758 - 11647) + '\062' + '\x32' + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101011 + 0o10) + chr(777 - 728) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(53) + chr(2156 - 2106), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\x33' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + '\063' + chr(54), 36824 - 36816), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\065' + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\064' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9234 - 9123) + chr(0b110001) + '\062' + '\066', 0o10), ehT0Px3KOsy9(chr(229 - 181) + chr(0b1000010 + 0o55) + '\x32' + chr(1611 - 1561) + chr(1000 - 951), 18369 - 18361), ehT0Px3KOsy9(chr(1675 - 1627) + chr(7422 - 7311) + '\061' + '\063' + '\066', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b11011 + 0o32) + chr(0b110011), 3666 - 3658), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110100) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(3892 - 3781) + '\x31' + chr(1841 - 1792) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(5458 - 5347) + chr(0b110010) + '\061' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(50) + chr(952 - 900), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b1010 + 0o55) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1100100 + 0o13) + chr(0b110100) + chr(0b110001 + 0o3), 21000 - 20992), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b110100), 35832 - 35824), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + chr(0b110010) + chr(55) + '\x30', 33410 - 33402), ehT0Px3KOsy9(chr(1624 - 1576) + chr(0b1101111) + chr(1006 - 957) + chr(2542 - 2490), 8), ehT0Px3KOsy9('\060' + chr(0b1001110 + 0o41) + '\x31' + '\063' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(469 - 414) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b101010 + 0o105) + chr(0b100000 + 0o21) + chr(0b101000 + 0o13) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(51) + '\x34' + chr(0b101011 + 0o11), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b1011 + 0o52) + chr(1264 - 1211), 0o10), ehT0Px3KOsy9('\060' + chr(2011 - 1900) + '\x31' + chr(584 - 535) + '\x32', 14633 - 14625)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101101 + 0o10) + '\060', 41358 - 41350)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'>'), '\x64' + chr(0b1100101) + '\143' + '\157' + chr(0b100010 + 0o102) + '\x65')(chr(117) + '\x74' + '\x66' + chr(0b11 + 0o52) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nqL4SlqG7opA():
n4ljua2gi1Pr = RpiVMrfg4zTk()
n4ljua2gi1Pr.qzoyXN3kdhDL = ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2397 - 2345) + chr(48), 0b1000)
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100001 + 0o20), ord("\x08"))
n4ljua2gi1Pr._y1Py7UE3OKS = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062', ord("\x08"))
n4ljua2gi1Pr.l3Jb92JIYIRX = ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 8)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/basic_deterministic_params.py
|
next_frame_l1
|
def next_frame_l1():
"""Basic conv model with L1 modality."""
hparams = next_frame_basic_deterministic()
hparams.loss["targets"] = modalities.video_l1_loss
hparams.top["targets"] = modalities.video_l1_top
hparams.video_modality_loss_cutoff = 2.4
return hparams
|
python
|
def next_frame_l1():
"""Basic conv model with L1 modality."""
hparams = next_frame_basic_deterministic()
hparams.loss["targets"] = modalities.video_l1_loss
hparams.top["targets"] = modalities.video_l1_top
hparams.video_modality_loss_cutoff = 2.4
return hparams
|
[
"def",
"next_frame_l1",
"(",
")",
":",
"hparams",
"=",
"next_frame_basic_deterministic",
"(",
")",
"hparams",
".",
"loss",
"[",
"\"targets\"",
"]",
"=",
"modalities",
".",
"video_l1_loss",
"hparams",
".",
"top",
"[",
"\"targets\"",
"]",
"=",
"modalities",
".",
"video_l1_top",
"hparams",
".",
"video_modality_loss_cutoff",
"=",
"2.4",
"return",
"hparams"
] |
Basic conv model with L1 modality.
|
[
"Basic",
"conv",
"model",
"with",
"L1",
"modality",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/basic_deterministic_params.py#L140-L146
|
train
|
Basic conv model with L1 modality.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b10111 + 0o31) + chr(54), 46747 - 46739), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101000 + 0o12) + '\065' + chr(2371 - 2320), 41536 - 41528), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b110011) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1920 - 1872) + chr(0b1101111) + '\063' + chr(2303 - 2252) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(49) + chr(1313 - 1263), 0b1000), ehT0Px3KOsy9(chr(2067 - 2019) + '\x6f' + chr(0b1101 + 0o45) + chr(0b11111 + 0o24) + chr(0b10001 + 0o41), 0b1000), ehT0Px3KOsy9(chr(1069 - 1021) + chr(8139 - 8028) + '\x33' + chr(177 - 123), 33398 - 33390), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\065' + chr(0b11110 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10111 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1001010 + 0o45) + chr(2166 - 2116) + chr(0b10000 + 0o40), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010000 + 0o37) + '\x35' + chr(0b10 + 0o60), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\066' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b11000 + 0o127) + chr(0b110011) + chr(0b101111 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(12236 - 12125) + '\x31' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(9319 - 9208) + chr(0b110010) + chr(0b110011) + '\067', 0o10), ehT0Px3KOsy9(chr(1549 - 1501) + '\157' + chr(0b1000 + 0o53) + chr(55) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101010 + 0o10) + chr(0b11111 + 0o23) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(52) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010 + 0o0) + '\067' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\063' + chr(0b110111) + '\x32', 12693 - 12685), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b101 + 0o53) + chr(1806 - 1758), 0o10), ehT0Px3KOsy9(chr(1003 - 955) + chr(111) + chr(0b110010) + '\x30' + chr(54), 8), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\066' + chr(52), 63357 - 63349), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110101) + chr(1560 - 1510), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000000 + 0o57) + chr(49) + chr(49) + '\x32', 16301 - 16293), ehT0Px3KOsy9(chr(0b110000) + chr(6630 - 6519) + chr(524 - 473) + chr(48) + '\x35', 65371 - 65363), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b101110 + 0o5), 8), ehT0Px3KOsy9(chr(1956 - 1908) + chr(111) + '\x32' + chr(0b110001) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(0b110010) + '\x35' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1118 - 1070) + chr(7884 - 7773) + chr(49) + chr(0b110100), 46439 - 46431), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b111010 + 0o65) + chr(0b1000 + 0o53) + chr(52) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100 + 0o55) + '\063' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(0b110001) + chr(53) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(6691 - 6580) + '\x31' + chr(50) + chr(501 - 449), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(455 - 406) + chr(0b110101) + chr(0b10010 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(9926 - 9815) + chr(51) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(839 - 791) + chr(4605 - 4494) + chr(0b100001 + 0o22) + chr(0b100100 + 0o14) + chr(0b101111 + 0o10), 0b1000), ehT0Px3KOsy9(chr(1233 - 1185) + chr(0b1101111) + chr(0b110001) + chr(0b111 + 0o53) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(2043 - 1992) + '\x35' + chr(0b110101), 52166 - 52158)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(497 - 449) + chr(0b1101111) + chr(0b110101 + 0o0) + chr(0b110000), 48680 - 48672)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8'), chr(0b1100100) + chr(4510 - 4409) + chr(0b110111 + 0o54) + chr(111) + chr(100) + '\145')(chr(0b100101 + 0o120) + chr(4159 - 4043) + chr(2268 - 2166) + '\x2d' + chr(0b10101 + 0o43)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def iWZ7RSsJVeiY():
n4ljua2gi1Pr = RpiVMrfg4zTk()
n4ljua2gi1Pr.YpO0BcZ6fMsf[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xcav?\xbf\xbe\xe9'), '\144' + '\x65' + chr(1496 - 1397) + '\157' + chr(100) + '\x65')('\x75' + chr(0b1110100) + chr(0b100010 + 0o104) + '\055' + '\x38')] = PuPeNl0CuqOQ.video_l1_loss
n4ljua2gi1Pr.qxrVBjeryNEZ[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xcav?\xbf\xbe\xe9'), chr(0b1000110 + 0o36) + '\x65' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1110101) + '\164' + chr(0b1010 + 0o134) + chr(236 - 191) + chr(0b11111 + 0o31))] = PuPeNl0CuqOQ.video_l1_top
n4ljua2gi1Pr.EF49vBKJeCZx = 2.4
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/basic_deterministic_params.py
|
next_frame_l2
|
def next_frame_l2():
"""Basic conv model with L2 modality."""
hparams = next_frame_basic_deterministic()
hparams.loss["targets"] = modalities.video_l2_loss
hparams.top["targets"] = modalities.video_l1_top
hparams.video_modality_loss_cutoff = 2.4
return hparams
|
python
|
def next_frame_l2():
"""Basic conv model with L2 modality."""
hparams = next_frame_basic_deterministic()
hparams.loss["targets"] = modalities.video_l2_loss
hparams.top["targets"] = modalities.video_l1_top
hparams.video_modality_loss_cutoff = 2.4
return hparams
|
[
"def",
"next_frame_l2",
"(",
")",
":",
"hparams",
"=",
"next_frame_basic_deterministic",
"(",
")",
"hparams",
".",
"loss",
"[",
"\"targets\"",
"]",
"=",
"modalities",
".",
"video_l2_loss",
"hparams",
".",
"top",
"[",
"\"targets\"",
"]",
"=",
"modalities",
".",
"video_l1_top",
"hparams",
".",
"video_modality_loss_cutoff",
"=",
"2.4",
"return",
"hparams"
] |
Basic conv model with L2 modality.
|
[
"Basic",
"conv",
"model",
"with",
"L2",
"modality",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/basic_deterministic_params.py#L150-L156
|
train
|
Basic conv model with L2 modality.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(51) + chr(0b101100 + 0o13) + '\062', 0o10), ehT0Px3KOsy9(chr(700 - 652) + chr(0b1011110 + 0o21) + chr(54) + chr(0b101001 + 0o7), 58872 - 58864), ehT0Px3KOsy9('\060' + chr(111) + chr(58 - 9) + chr(54) + '\067', 0b1000), ehT0Px3KOsy9(chr(275 - 227) + '\x6f' + chr(0b100001 + 0o21) + chr(54), 16183 - 16175), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1001001 + 0o46) + chr(0b1010 + 0o53) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(6874 - 6763) + chr(1056 - 1002) + chr(0b10 + 0o65), 5680 - 5672), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b110101) + chr(404 - 350), 12804 - 12796), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x32' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1074 - 1026) + chr(111) + chr(2203 - 2152) + '\x36' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1138 - 1090) + chr(0b1101111) + chr(0b11111 + 0o24) + chr(0b100101 + 0o14) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(0b1100 + 0o53) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b110110) + chr(0b100000 + 0o20), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8280 - 8169) + chr(51 - 2) + chr(50) + chr(0b10101 + 0o36), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\062' + chr(1447 - 1394), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(0b110010) + chr(51) + chr(0b101101 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(1980 - 1932) + chr(10086 - 9975) + '\064' + chr(2284 - 2234), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010011 + 0o34) + chr(51) + chr(0b11001 + 0o32) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101011 + 0o7) + chr(0b110011) + chr(1595 - 1541), 27355 - 27347), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101111 + 0o3) + '\067' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x32' + '\x36', 23797 - 23789), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101110 + 0o11) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b110001) + '\x36' + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b110110) + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + chr(1726 - 1672) + chr(49), 0b1000), ehT0Px3KOsy9(chr(1436 - 1388) + chr(0b1101111) + '\063' + chr(0b101100 + 0o10) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(115 - 67) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000101 + 0o52) + chr(2538 - 2487) + chr(0b110011) + '\067', 54822 - 54814), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1336 - 1286) + chr(0b1110 + 0o46) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1461 - 1413) + chr(111) + chr(0b110011) + chr(54) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1401 - 1352) + '\060' + '\066', 0o10), ehT0Px3KOsy9(chr(2069 - 2021) + chr(7289 - 7178) + chr(0b110111) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101100 + 0o7) + chr(55) + '\067', 16969 - 16961), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2210 - 2161) + chr(1888 - 1833) + chr(802 - 752), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000010 + 0o55) + '\x32' + '\x31' + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101000 + 0o17) + chr(0b100100 + 0o20), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x30' + '\063', 0o10), ehT0Px3KOsy9(chr(2128 - 2080) + chr(0b1101111) + chr(87 - 37) + chr(0b110011 + 0o4) + chr(1197 - 1145), 0b1000), ehT0Px3KOsy9(chr(1733 - 1685) + chr(111) + '\x35', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(53) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4'), '\144' + chr(101) + chr(0b111100 + 0o47) + '\157' + '\x64' + chr(101))('\165' + '\x74' + chr(3037 - 2935) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def OIvxeIFceGEN():
n4ljua2gi1Pr = RpiVMrfg4zTk()
n4ljua2gi1Pr.YpO0BcZ6fMsf[xafqLlk3kkUe(SXOLrMavuUCe(b'\x8eQ\x05qMC\x1d'), chr(100) + '\145' + chr(0b10101 + 0o116) + chr(0b1000111 + 0o50) + chr(0b1100100) + chr(0b1011100 + 0o11))(chr(117) + '\x74' + '\x66' + chr(45) + chr(0b101000 + 0o20))] = PuPeNl0CuqOQ.video_l2_loss
n4ljua2gi1Pr.qxrVBjeryNEZ[xafqLlk3kkUe(SXOLrMavuUCe(b'\x8eQ\x05qMC\x1d'), chr(4519 - 4419) + '\x65' + '\x63' + '\x6f' + chr(0b1000011 + 0o41) + chr(459 - 358))(chr(0b1101000 + 0o15) + chr(0b1110100) + chr(0b1100110) + chr(861 - 816) + chr(0b110110 + 0o2))] = PuPeNl0CuqOQ.video_l1_top
n4ljua2gi1Pr.EF49vBKJeCZx = 2.4
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/basic_deterministic_params.py
|
next_frame_base_range
|
def next_frame_base_range(rhp):
"""Basic tuning grid."""
rhp.set_float("dropout", 0.2, 0.6)
rhp.set_discrete("hidden_size", [64, 128, 256])
rhp.set_int("num_compress_steps", 5, 8)
rhp.set_discrete("batch_size", [4, 8, 16, 32])
rhp.set_int("num_hidden_layers", 1, 3)
rhp.set_int("filter_double_steps", 1, 6)
rhp.set_float("learning_rate_constant", 1., 4.)
rhp.set_int("learning_rate_warmup_steps", 500, 3000)
rhp.set_float("initializer_gain", 0.8, 1.8)
|
python
|
def next_frame_base_range(rhp):
"""Basic tuning grid."""
rhp.set_float("dropout", 0.2, 0.6)
rhp.set_discrete("hidden_size", [64, 128, 256])
rhp.set_int("num_compress_steps", 5, 8)
rhp.set_discrete("batch_size", [4, 8, 16, 32])
rhp.set_int("num_hidden_layers", 1, 3)
rhp.set_int("filter_double_steps", 1, 6)
rhp.set_float("learning_rate_constant", 1., 4.)
rhp.set_int("learning_rate_warmup_steps", 500, 3000)
rhp.set_float("initializer_gain", 0.8, 1.8)
|
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")"
] |
Basic tuning grid.
|
[
"Basic",
"tuning",
"grid",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/basic_deterministic_params.py#L160-L170
|
train
|
Basic tuning grid.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(1933 - 1882) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2261 - 2212) + chr(971 - 923) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110000) + chr(2020 - 1968), ord("\x08")), ehT0Px3KOsy9(chr(952 - 904) + chr(0b1001001 + 0o46) + chr(51) + chr(0b10100 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(55) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(2094 - 2041), 47575 - 47567), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\x36' + chr(2007 - 1952), 41581 - 41573), ehT0Px3KOsy9(chr(0b110000) + chr(2948 - 2837) + chr(1282 - 1233) + '\067' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(50) + '\066' + '\066', 11731 - 11723), ehT0Px3KOsy9('\060' + chr(0b10 + 0o155) + chr(51) + chr(1255 - 1203) + chr(1789 - 1736), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(403 - 292) + '\x31' + '\x31' + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(5743 - 5632) + chr(276 - 226) + '\x34' + chr(0b10 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(656 - 608) + chr(4777 - 4666) + '\061', 0b1000), ehT0Px3KOsy9(chr(1536 - 1488) + chr(0b1011110 + 0o21) + chr(0b100 + 0o57) + chr(1352 - 1301) + chr(0b10101 + 0o41), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(614 - 564) + chr(0b1100 + 0o51) + chr(0b10001 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\061' + chr(846 - 794), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(49), 35529 - 35521), ehT0Px3KOsy9(chr(2282 - 2234) + chr(8506 - 8395) + '\061' + chr(0b101010 + 0o12) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100100 + 0o13) + chr(50) + '\x31' + chr(2026 - 1973), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\x34' + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100110 + 0o13) + chr(0b101100 + 0o13) + '\x36', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\062', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x36' + '\x31', 828 - 820), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(9628 - 9517) + chr(0b110011) + chr(55) + chr(0b100101 + 0o16), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101010 + 0o5) + '\x33' + chr(48) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\x31' + chr(0b10101 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + chr(0b100001 + 0o20) + chr(0b110111) + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\066' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2292 - 2243) + chr(0b0 + 0o61) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b110100) + chr(1388 - 1335), 8), ehT0Px3KOsy9(chr(2193 - 2145) + chr(0b1101111) + chr(51) + chr(0b11001 + 0o30) + chr(1855 - 1802), 58457 - 58449), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1081 - 1030) + chr(0b101100 + 0o4) + chr(55), 8), ehT0Px3KOsy9('\060' + chr(1950 - 1839) + chr(1704 - 1649) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(0b110011) + '\061' + '\061', 52831 - 52823), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(4058 - 3947) + '\061' + chr(0b110110) + chr(51), 34626 - 34618), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\x35', 40633 - 40625), ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b100111 + 0o110) + chr(2147 - 2097) + '\063' + chr(796 - 742), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1537 - 1486) + chr(0b110010) + '\x33', 49599 - 49591), ehT0Px3KOsy9('\x30' + chr(0b1010001 + 0o36) + '\x31', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1701 - 1653) + chr(0b1101111) + chr(0b110101) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'5'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\144' + '\145')(chr(0b1110101) + '\164' + chr(0b1100110) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def A9vtyHomT9_r(IwsgmEzQknPc):
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'h%0EYq\x18\x1f\xc2'), '\x64' + chr(0b1100101) + chr(8108 - 8009) + chr(0b101000 + 0o107) + chr(9295 - 9195) + '\145')('\165' + chr(0b1110100) + '\146' + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f2+jPh\x03'), '\144' + chr(101) + '\143' + '\157' + chr(0b111000 + 0o54) + chr(101))(chr(1748 - 1631) + '\x74' + chr(0b10000 + 0o126) + chr(45) + '\070'), 0.2, 0.6)
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'h%0E[t\x04\x1d\xc4\x80>\xc3'), chr(0b110001 + 0o63) + chr(0b110110 + 0o57) + chr(630 - 531) + chr(0b11111 + 0o120) + chr(100) + chr(7629 - 7528))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b's) ~Zs(\r\xdf\x9f/'), chr(100) + chr(0b110010 + 0o63) + chr(99) + '\x6f' + '\x64' + '\x65')(chr(0b1101 + 0o150) + chr(0b1011110 + 0o26) + chr(0b101 + 0o141) + '\x2d' + '\x38'), [ehT0Px3KOsy9(chr(48) + chr(4588 - 4477) + chr(0b110001) + '\060' + chr(1611 - 1563), 8), ehT0Px3KOsy9(chr(48) + chr(0b10100 + 0o133) + chr(1721 - 1671) + chr(0b11 + 0o55) + chr(0b101001 + 0o7), 40781 - 40773), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + chr(52) + '\x30' + chr(0b110000), 63208 - 63200)])
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'h%0EVs\x03'), chr(4289 - 4189) + chr(0b1100101) + '\143' + '\x6f' + '\x64' + chr(101))('\x75' + '\x74' + chr(0b101000 + 0o76) + '\055' + chr(0b110111 + 0o1)))(xafqLlk3kkUe(SXOLrMavuUCe(b'u5)E\\r\x1a\x0e\xc4\x809\xd5^\xad\xdd)i\x15'), '\144' + chr(2788 - 2687) + chr(0b1000110 + 0o35) + chr(111) + chr(0b1011101 + 0o7) + chr(0b1100101))('\165' + '\164' + chr(0b1100101 + 0o1) + '\x2d' + '\x38'), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101101 + 0o10), 0o10), ehT0Px3KOsy9(chr(48) + chr(1975 - 1864) + chr(49) + chr(0b110000), ord("\x08")))
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'h%0E[t\x04\x1d\xc4\x80>\xc3'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b111 + 0o150) + chr(0b100100 + 0o100) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b100000 + 0o106) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'y!0yWB\x04\x17\xcc\x80'), '\x64' + chr(990 - 889) + '\x63' + chr(0b110101 + 0o72) + chr(0b1001010 + 0o32) + chr(2545 - 2444))(chr(0b1110101) + '\x74' + chr(102) + chr(45) + chr(0b111000)), [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + '\061' + chr(301 - 253), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\x30', 0o10), ehT0Px3KOsy9(chr(2095 - 2047) + '\x6f' + chr(755 - 703) + '\x30', ord("\x08"))])
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'h%0EVs\x03'), chr(8351 - 8251) + chr(7730 - 7629) + chr(4604 - 4505) + chr(111) + '\x64' + '\145')('\165' + '\x74' + chr(0b11000 + 0o116) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'u5)EWt\x13\x1a\xd3\x8b\x15\xca`\xa7\xcc>j'), chr(5614 - 5514) + chr(0b1010010 + 0o23) + chr(99) + '\157' + chr(0b1010110 + 0o16) + '\145')(chr(0b101 + 0o160) + chr(116) + chr(102) + '\055' + '\070'), ehT0Px3KOsy9(chr(617 - 569) + chr(0b111110 + 0o61) + chr(0b110001), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(51), 53143 - 53135))
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'h%0EVs\x03'), '\144' + chr(7491 - 7390) + chr(5626 - 5527) + chr(0b1110 + 0o141) + chr(0b1100100) + chr(697 - 596))(chr(117) + chr(13026 - 12910) + chr(102) + chr(171 - 126) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'})(nZo(\x1a\xd9\x90(\xcad\x81\xda8|\x16\xfe'), chr(8377 - 8277) + '\x65' + '\143' + chr(0b1101111) + '\x64' + '\145')(chr(1071 - 954) + chr(116) + chr(0b1100110) + chr(1837 - 1792) + '\070'), ehT0Px3KOsy9('\060' + chr(6495 - 6384) + chr(0b110001), 8), ehT0Px3KOsy9(chr(189 - 141) + chr(0b1001 + 0o146) + '\x36', 0b1000))
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'h%0EYq\x18\x1f\xc2'), chr(0b1100100) + chr(0b10101 + 0o120) + chr(0b1100011) + '\157' + chr(0b101010 + 0o72) + chr(101))('\x75' + chr(0b1101000 + 0o14) + chr(102) + '\x2d' + chr(0b10001 + 0o47)))(xafqLlk3kkUe(SXOLrMavuUCe(b'w%%hQt\x19\x19\xe9\x97+\xd2d\x81\xca#w\x15\xf9\xc1\x10n'), chr(100) + chr(0b11011 + 0o112) + chr(0b1100011) + '\157' + chr(0b111111 + 0o45) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(45) + '\x38'), 1.0, 4.0)
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'h%0EVs\x03'), chr(100) + '\x65' + '\143' + '\x6f' + '\x64' + chr(101))(chr(11416 - 11299) + chr(0b1110011 + 0o1) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'w%%hQt\x19\x19\xe9\x97+\xd2d\x81\xde-k\x0b\xf8\xd0!i\xc5\x9e\xb7;'), chr(0b1001101 + 0o27) + chr(101) + chr(0b1011111 + 0o4) + chr(0b1011100 + 0o23) + '\x64' + chr(101))(chr(10014 - 9897) + '\164' + chr(0b1100110) + '\x2d' + '\x38'), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x37' + chr(54) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(415 - 367) + chr(111) + chr(0b1100 + 0o51) + '\066' + '\x37' + '\x30', ord("\x08")))
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'h%0EYq\x18\x1f\xc2'), '\x64' + chr(0b1100101) + chr(0b1000001 + 0o42) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(116) + chr(4546 - 4444) + chr(0b100001 + 0o14) + chr(1098 - 1042)))(xafqLlk3kkUe(SXOLrMavuUCe(b'r.-nV|\x1b\x17\xcc\x808\xf9f\xbf\xc0"'), chr(1960 - 1860) + chr(0b1100101) + chr(1209 - 1110) + chr(1975 - 1864) + chr(0b1001011 + 0o31) + '\x65')(chr(0b1110101) + chr(0b1001111 + 0o45) + chr(6553 - 6451) + '\055' + chr(1342 - 1286)), 0.8, 1.8)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/basic_deterministic_params.py
|
next_frame_ae_range
|
def next_frame_ae_range(rhp):
"""Autoencoder world model tuning grid."""
rhp.set_float("dropout", 0.3, 0.5)
rhp.set_int("num_compress_steps", 1, 3)
rhp.set_int("num_hidden_layers", 2, 6)
rhp.set_float("learning_rate_constant", 1., 2.)
rhp.set_float("initializer_gain", 0.8, 1.5)
rhp.set_int("filter_double_steps", 2, 3)
|
python
|
def next_frame_ae_range(rhp):
"""Autoencoder world model tuning grid."""
rhp.set_float("dropout", 0.3, 0.5)
rhp.set_int("num_compress_steps", 1, 3)
rhp.set_int("num_hidden_layers", 2, 6)
rhp.set_float("learning_rate_constant", 1., 2.)
rhp.set_float("initializer_gain", 0.8, 1.5)
rhp.set_int("filter_double_steps", 2, 3)
|
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"rhp",
".",
"set_int",
"(",
"\"filter_double_steps\"",
",",
"2",
",",
"3",
")"
] |
Autoencoder world model tuning grid.
|
[
"Autoencoder",
"world",
"model",
"tuning",
"grid",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/basic_deterministic_params.py#L194-L201
|
train
|
Autoencoder world model tuning grid.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b110101) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\x33' + chr(0b11011 + 0o30) + chr(1790 - 1742), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(121 - 10) + chr(51) + chr(0b10111 + 0o35) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(397 - 349) + chr(6997 - 6886) + chr(0b110011) + '\x36' + chr(1283 - 1235), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100110 + 0o13) + '\x32' + chr(55), 0b1000), ehT0Px3KOsy9(chr(806 - 758) + chr(0b1101111) + chr(50) + '\x31' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2486 - 2375) + '\061' + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(1608 - 1558) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1810 - 1762) + '\x6f' + chr(50) + '\063' + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(715 - 662) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2288 - 2177) + chr(51) + chr(0b110011) + chr(54), 54211 - 54203), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b100011 + 0o114) + '\x31' + chr(0b110100) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(51) + chr(1773 - 1724), 26219 - 26211), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(670 - 619) + chr(51) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(6699 - 6588) + chr(141 - 92) + '\x31' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + chr(1270 - 1219) + chr(381 - 331) + chr(892 - 837), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2552 - 2441) + chr(0b1001 + 0o52) + '\x35' + '\065', 37506 - 37498), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + '\061' + '\062' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\066' + chr(1017 - 967), 60048 - 60040), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11111 + 0o24) + '\x32' + chr(2228 - 2176), ord("\x08")), ehT0Px3KOsy9(chr(1497 - 1449) + chr(0b1101111) + '\061' + '\x33' + chr(1592 - 1539), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(52) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b101100 + 0o7) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(0b10000 + 0o42) + chr(0b110100) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + chr(0b110011) + chr(0b100011 + 0o22) + chr(966 - 913), 8), ehT0Px3KOsy9(chr(1682 - 1634) + chr(111) + chr(2088 - 2037) + chr(0b110010) + chr(0b101010 + 0o15), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11100 + 0o26) + chr(1586 - 1531), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(51) + chr(0b11010 + 0o26) + '\x34', 60206 - 60198), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b10100 + 0o41) + chr(2077 - 2022), 16913 - 16905), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + '\062' + '\064' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + '\063' + chr(322 - 271) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b110110) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(2113 - 2064) + '\061' + chr(0b101010 + 0o15), 63632 - 63624), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + chr(51) + chr(1946 - 1892) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(49) + chr(0b110011) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + '\x32' + chr(1945 - 1897) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011100 + 0o23) + '\x31' + chr(48) + chr(53), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(197 - 149) + chr(111) + chr(664 - 611) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x03'), chr(100) + chr(101) + '\x63' + chr(111) + '\144' + chr(0b1100101))('\165' + '\x74' + chr(0b1001010 + 0o34) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VaOZVJ5DZeWb(IwsgmEzQknPc):
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'^\xbd\x91\xaf1\xe6g3\xe9'), chr(100) + chr(9472 - 9371) + chr(0b1100011) + chr(0b1101111) + chr(0b100101 + 0o77) + chr(370 - 269))('\165' + chr(2082 - 1966) + chr(102) + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'I\xaa\x8a\x808\xff|'), chr(100) + chr(0b101011 + 0o72) + chr(6096 - 5997) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100 + 0o132) + chr(859 - 814) + '\070'), 0.3, 0.5)
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'^\xbd\x91\xaf>\xe4|'), '\144' + chr(0b1100101) + chr(0b110110 + 0o55) + chr(5233 - 5122) + chr(100) + chr(0b1100100 + 0o1))('\x75' + chr(0b1110011 + 0o1) + '\146' + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'C\xad\x88\xaf4\xe5e"\xefL\xad\x13\xc6\xa8=\xb2\x9d#'), chr(4928 - 4828) + chr(6978 - 6877) + chr(1740 - 1641) + chr(111) + chr(3218 - 3118) + '\x65')('\165' + chr(0b1110100) + '\x66' + chr(0b11000 + 0o25) + chr(0b11100 + 0o34)), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101001 + 0o10), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(7521 - 7410) + chr(0b101111 + 0o4), 0b1000))
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'^\xbd\x91\xaf>\xe4|'), chr(100) + chr(8377 - 8276) + chr(0b1100011) + '\157' + chr(0b110100 + 0o60) + chr(101))(chr(117) + '\164' + chr(102) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'C\xad\x88\xaf?\xe3l6\xf8G\x81\x0c\xf8\xa2,\xa5\x9e'), '\144' + '\x65' + chr(1389 - 1290) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(10502 - 10385) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(2582 - 2526)), ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + chr(0b110010 + 0o0), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100101 + 0o112) + chr(0b1 + 0o65), 0b1000))
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'^\xbd\x91\xaf1\xe6g3\xe9'), '\x64' + chr(0b1100101) + chr(1596 - 1497) + chr(0b11100 + 0o123) + '\x64' + chr(0b1100101))('\x75' + chr(0b11100 + 0o130) + chr(0b101011 + 0o73) + '\055' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'A\xbd\x84\x829\xe3f5\xc2[\xbf\x14\xfc\x84*\xb8\x83#\x86\xb53P'), '\x64' + '\x65' + chr(0b1100011) + chr(9266 - 9155) + chr(100) + chr(0b1100101))('\165' + chr(0b1110100) + '\x66' + chr(0b11111 + 0o16) + chr(0b111000)), 1.0, 2.0)
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'^\xbd\x91\xaf1\xe6g3\xe9'), chr(2938 - 2838) + '\145' + chr(0b1100011) + '\157' + chr(100) + chr(101))(chr(0b1110101) + '\x74' + '\146' + chr(957 - 912) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'D\xb6\x8c\x84>\xebd;\xe7L\xac?\xfe\xba \xb9'), chr(2767 - 2667) + '\x65' + '\x63' + '\157' + '\x64' + chr(0b1001000 + 0o35))(chr(117) + chr(0b1000001 + 0o63) + chr(5662 - 5560) + chr(0b101101) + chr(2827 - 2771)), 0.8, 1.5)
xafqLlk3kkUe(IwsgmEzQknPc, xafqLlk3kkUe(SXOLrMavuUCe(b'^\xbd\x91\xaf>\xe4|'), chr(3935 - 3835) + '\x65' + chr(99) + '\157' + chr(100) + '\x65')(chr(117) + '\164' + '\x66' + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'K\xb1\x89\x842\xf8W6\xf2\\\xbc\x0c\xfc\x84:\xa3\x88 \x81'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1001 + 0o133) + chr(2144 - 2043))('\x75' + chr(12569 - 12453) + '\146' + chr(0b101101) + '\070'), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010 + 0o0), 8), ehT0Px3KOsy9('\x30' + chr(6239 - 6128) + '\x33', 8))
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/multiquery_paper.py
|
mqp_lm1b_base
|
def mqp_lm1b_base():
"""Series of architectures for language modeling."""
hparams = mtf_transformer2.mtf_unitransformer_base()
hparams.d_model = 1024
hparams.max_length = 256
hparams.batch_size = 256
# Parameters for my_layer_stack()
hparams.num_hidden_layers = 6
hparams.d_ff = 8192
hparams.d_kv = 128
hparams.num_heads = 8
hparams.learning_rate_decay_steps = 13600
hparams.layout = "batch:batch;vocab:model;d_ff:model;heads:model"
hparams.mesh_shape = "batch:32"
return hparams
|
python
|
def mqp_lm1b_base():
"""Series of architectures for language modeling."""
hparams = mtf_transformer2.mtf_unitransformer_base()
hparams.d_model = 1024
hparams.max_length = 256
hparams.batch_size = 256
# Parameters for my_layer_stack()
hparams.num_hidden_layers = 6
hparams.d_ff = 8192
hparams.d_kv = 128
hparams.num_heads = 8
hparams.learning_rate_decay_steps = 13600
hparams.layout = "batch:batch;vocab:model;d_ff:model;heads:model"
hparams.mesh_shape = "batch:32"
return hparams
|
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")",
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] |
Series of architectures for language modeling.
|
[
"Series",
"of",
"architectures",
"for",
"language",
"modeling",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/multiquery_paper.py#L154-L168
|
train
|
Series of architectures for language modeling.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(10176 - 10065) + chr(1542 - 1492) + chr(0b100000 + 0o21) + chr(0b10011 + 0o44), 0b1000), ehT0Px3KOsy9(chr(845 - 797) + '\157' + '\063' + chr(0b110000) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(52) + chr(0b10010 + 0o44), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b101000 + 0o107) + chr(0b110011) + chr(0b11011 + 0o27) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(54) + chr(0b1010 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(1267 - 1219) + chr(0b1000010 + 0o55) + '\062' + chr(1704 - 1652) + chr(1626 - 1571), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b110010) + '\x34', 58508 - 58500), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(945 - 896) + chr(0b11101 + 0o26), 0o10), ehT0Px3KOsy9('\x30' + chr(3435 - 3324) + '\061' + chr(0b110011) + chr(51), 43472 - 43464), ehT0Px3KOsy9(chr(0b110000) + chr(11826 - 11715) + '\062' + '\x35' + '\061', 51921 - 51913), ehT0Px3KOsy9(chr(596 - 548) + '\157' + chr(872 - 822) + chr(0b11101 + 0o24) + chr(0b1010 + 0o54), 43290 - 43282), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110100) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100011 + 0o20) + '\065' + chr(974 - 922), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(51) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1444 - 1393) + chr(1350 - 1298) + chr(0b100001 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(689 - 638) + '\061' + chr(2068 - 2020), 4034 - 4026), ehT0Px3KOsy9(chr(48) + chr(7025 - 6914) + chr(0b10000 + 0o47) + chr(0b10010 + 0o37), 0o10), ehT0Px3KOsy9(chr(310 - 262) + '\157' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(2817 - 2763) + chr(0b1010 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10000 + 0o43) + '\x32' + chr(1078 - 1026), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(1169 - 1120) + chr(0b11011 + 0o34) + chr(53), 0b1000), ehT0Px3KOsy9(chr(2025 - 1977) + '\x6f' + chr(1290 - 1241) + '\065' + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9792 - 9681) + '\062' + chr(50) + '\x35', 0b1000), ehT0Px3KOsy9(chr(1941 - 1893) + chr(111) + '\x33' + chr(0b1000 + 0o57) + chr(51), 0b1000), ehT0Px3KOsy9(chr(1483 - 1435) + chr(0b1101000 + 0o7) + '\062' + chr(1422 - 1367), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(54) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(0b10111 + 0o32) + chr(0b11100 + 0o26), 41002 - 40994), ehT0Px3KOsy9(chr(1670 - 1622) + chr(0b1101111) + chr(1268 - 1217) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + '\062' + '\066' + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(2141 - 2090) + chr(0b101001 + 0o15), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b100001 + 0o21) + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(48) + chr(1469 - 1414), 47498 - 47490), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000000 + 0o57) + '\x31' + chr(0b110000 + 0o5) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(6609 - 6498) + chr(0b11001 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2219 - 2170) + '\x33' + '\x31', 0b1000), ehT0Px3KOsy9(chr(2297 - 2249) + chr(0b100100 + 0o113) + '\x32' + chr(0b110111) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(1297 - 1248) + chr(0b110011) + '\061', 8), ehT0Px3KOsy9(chr(742 - 694) + chr(0b11101 + 0o122) + '\063' + chr(0b110100) + '\065', 8), ehT0Px3KOsy9(chr(159 - 111) + chr(0b101010 + 0o105) + chr(0b110001) + chr(0b110100) + '\x37', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(2781 - 2728) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1'), '\144' + '\145' + chr(9787 - 9688) + '\x6f' + '\x64' + chr(0b1000 + 0o135))(chr(0b1010 + 0o153) + '\x74' + '\x66' + chr(0b1000 + 0o45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def hjaU78tuaXhy():
n4ljua2gi1Pr = KRlzou_1VboM.mtf_unitransformer_base()
n4ljua2gi1Pr.dHIk6a7HYqLO = ehT0Px3KOsy9(chr(48) + chr(4947 - 4836) + chr(0b110010) + chr(0b100100 + 0o14) + '\060' + '\x30', 0o10)
n4ljua2gi1Pr._o7pVXAdOCRy = ehT0Px3KOsy9('\060' + '\157' + '\064' + chr(0b110000) + chr(0b110000), ord("\x08"))
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b100001 + 0o23) + '\060' + chr(0b110000), 8)
n4ljua2gi1Pr.jZh5_pLUoOoZ = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x36', 0o10)
n4ljua2gi1Pr.EpyOHjLLhjxL = ehT0Px3KOsy9('\x30' + chr(5830 - 5719) + '\x32' + chr(1643 - 1595) + chr(48) + chr(1536 - 1488) + '\060', 29005 - 28997)
n4ljua2gi1Pr.cboJxztkwgnV = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010 + 0o0) + chr(48) + chr(48), 10757 - 10749)
n4ljua2gi1Pr.vRVqPOZ1hUG7 = ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(1356 - 1308), 0o10)
n4ljua2gi1Pr.YBAB1XyoxOc5 = ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(112 - 62) + chr(52) + chr(0b110100) + '\060', ord("\x08"))
n4ljua2gi1Pr.HDH7OEwZuDah = xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xa2\x12\xb4\x1a\x9d\xb6j/\xca\xe6X\x9a\xf2\x86\xa9[>\x1b\xbb\x19\x0f\xf9\xc0s\xeeil%\xdf\xb1\xb0\xe2\x02>1\xdf8\x81\x14\xb5\xae\t\xb3\x17\xcb'), chr(0b1100100) + chr(4924 - 4823) + '\143' + chr(455 - 344) + chr(0b1100100) + chr(0b1001 + 0o134))(chr(0b1110101) + chr(0b1010111 + 0o35) + chr(102) + '\x2d' + chr(1424 - 1368))
n4ljua2gi1Pr.GnGMnRt7o0q6 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xa2\x12\xb4\x1a\x9d\xe79'), '\x64' + chr(0b1100101) + chr(9572 - 9473) + chr(0b1101111) + '\x64' + chr(6054 - 5953))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b1011 + 0o42) + chr(0b111000))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/trainer_model_free.py
|
initialize_env_specs
|
def initialize_env_specs(hparams, env_problem_name):
"""Initializes env_specs using the appropriate env."""
if env_problem_name:
env = registry.env_problem(env_problem_name, batch_size=hparams.batch_size)
else:
env = rl_utils.setup_env(hparams, hparams.batch_size,
hparams.eval_max_num_noops,
hparams.rl_env_max_episode_steps,
env_name=hparams.rl_env_name)
env.start_new_epoch(0)
return rl.make_real_env_fn(env)
|
python
|
def initialize_env_specs(hparams, env_problem_name):
"""Initializes env_specs using the appropriate env."""
if env_problem_name:
env = registry.env_problem(env_problem_name, batch_size=hparams.batch_size)
else:
env = rl_utils.setup_env(hparams, hparams.batch_size,
hparams.eval_max_num_noops,
hparams.rl_env_max_episode_steps,
env_name=hparams.rl_env_name)
env.start_new_epoch(0)
return rl.make_real_env_fn(env)
|
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] |
Initializes env_specs using the appropriate env.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/trainer_model_free.py#L68-L79
|
train
|
Initializes env_specs using the appropriate env.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(2446 - 2396) + '\x31' + '\x32', 55242 - 55234), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(50) + chr(0b110011) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100110 + 0o14) + chr(0b1001 + 0o55) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + chr(878 - 824) + chr(55), 26579 - 26571), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(10829 - 10718) + chr(49) + chr(55) + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(52) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b11011 + 0o124) + chr(50) + chr(49) + chr(2590 - 2536), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\061' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000100 + 0o53) + chr(1811 - 1759) + chr(0b100111 + 0o11), 30633 - 30625), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x36' + chr(968 - 914), 33672 - 33664), ehT0Px3KOsy9(chr(48) + chr(0b1100000 + 0o17) + '\x37' + '\065', 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(9065 - 8954) + '\x33' + chr(213 - 160) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b1101 + 0o47) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + chr(0b11001 + 0o31) + chr(0b101000 + 0o16) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b10001 + 0o44) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1286 - 1238) + '\x6f' + '\x32' + chr(54) + chr(0b110000), 2803 - 2795), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\x33' + '\x35' + chr(48), 0b1000), ehT0Px3KOsy9(chr(1135 - 1087) + chr(0b111010 + 0o65) + '\x33' + chr(49) + chr(0b1011 + 0o54), 6505 - 6497), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1011100 + 0o23) + '\x31' + chr(0b110111) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10100 + 0o36) + chr(0b110100) + chr(0b1111 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9088 - 8977) + chr(0b110011) + chr(0b1010 + 0o55) + chr(54), 54842 - 54834), ehT0Px3KOsy9(chr(1412 - 1364) + '\x6f' + '\x32' + '\064' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(314 - 266) + chr(7518 - 7407) + '\x33' + '\060' + chr(1208 - 1155), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(967 - 918) + chr(0b10000 + 0o45) + chr(0b101100 + 0o7), 0o10), ehT0Px3KOsy9('\x30' + chr(7269 - 7158) + chr(0b110101) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + '\x33' + chr(781 - 733) + '\065', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(484 - 435) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + chr(0b101101 + 0o6) + chr(2186 - 2138) + chr(622 - 568), 16927 - 16919), ehT0Px3KOsy9('\x30' + chr(3535 - 3424) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b110010) + chr(50) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(2606 - 2495) + chr(0b110011) + chr(1745 - 1694) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\065' + '\x34', 63999 - 63991), ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + chr(2322 - 2268) + chr(2865 - 2811), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b101100 + 0o103) + chr(1310 - 1261) + chr(0b10111 + 0o40) + chr(51), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(49) + chr(0b100110 + 0o14), 0o10), ehT0Px3KOsy9(chr(1437 - 1389) + '\x6f' + chr(0b11110 + 0o23) + '\x34' + chr(307 - 257), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(0b11 + 0o62) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + '\x31' + chr(0b101110 + 0o4) + chr(51), 12354 - 12346)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(53) + '\x30', 59425 - 59417)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4'), chr(0b1100100) + chr(2040 - 1939) + chr(99) + chr(111) + '\144' + chr(101))('\165' + chr(1080 - 964) + chr(0b1100110) + chr(1777 - 1732) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ftKqvGsyjDGo(n4ljua2gi1Pr, SQOj28X9N9zs):
if SQOj28X9N9zs:
xzsHIGfR8Ip5 = U24OBsRcVqkJ.env_problem(SQOj28X9N9zs, batch_size=n4ljua2gi1Pr.ix9dZyeAmUxY)
else:
xzsHIGfR8Ip5 = dS9nMkNNnOq2.setup_env(n4ljua2gi1Pr, n4ljua2gi1Pr.ix9dZyeAmUxY, n4ljua2gi1Pr.eval_max_num_noops, n4ljua2gi1Pr.rl_env_max_episode_steps, env_name=n4ljua2gi1Pr.rl_env_name)
xafqLlk3kkUe(xzsHIGfR8Ip5, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\xe9\xd2E\x0f\xbc\xe0\xecWESM\x84\xc1\xdd'), '\144' + chr(0b101011 + 0o72) + '\143' + '\157' + chr(100) + chr(0b1000111 + 0o36))('\165' + chr(12802 - 12686) + chr(8529 - 8427) + chr(0b10000 + 0o35) + chr(0b111000)))(ehT0Px3KOsy9('\x30' + '\157' + chr(225 - 177), 49043 - 49035))
return xafqLlk3kkUe(iwzD7IVqUS5S, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7\xfc\xd8R$\x91\xeb\xe8LESS\x9d\xfd\xd3\x81'), chr(0b1010110 + 0o16) + '\x65' + chr(99) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(8180 - 8063) + chr(0b110101 + 0o77) + chr(0b11011 + 0o113) + chr(0b101101) + chr(146 - 90)))(xzsHIGfR8Ip5)
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/trainer_model_free.py
|
train
|
def train(hparams, output_dir, env_problem_name, report_fn=None):
"""Train."""
env_fn = initialize_env_specs(hparams, env_problem_name)
tf.logging.vlog(1, "HParams in trainer_model_free.train : %s",
misc_utils.pprint_hparams(hparams))
tf.logging.vlog(1, "Using hparams.base_algo: %s", hparams.base_algo)
learner = rl_utils.LEARNERS[hparams.base_algo](
hparams.frame_stack_size, output_dir, output_dir, total_num_epochs=1
)
policy_hparams = trainer_lib.create_hparams(hparams.base_algo_params)
rl_utils.update_hparams_from_hparams(
policy_hparams, hparams, hparams.base_algo + "_"
)
tf.logging.vlog(1, "Policy HParams : %s",
misc_utils.pprint_hparams(policy_hparams))
# TODO(konradczechowski): remove base_algo dependance, when evaluation method
# will be decided
if hparams.base_algo == "ppo":
total_steps = policy_hparams.epochs_num
tf.logging.vlog(2, "total_steps: %d", total_steps)
eval_every_epochs = policy_hparams.eval_every_epochs
tf.logging.vlog(2, "eval_every_epochs: %d", eval_every_epochs)
if eval_every_epochs == 0:
eval_every_epochs = total_steps
policy_hparams.eval_every_epochs = 0
metric_name = rl_utils.get_metric_name(
sampling_temp=hparams.eval_sampling_temps[0],
max_num_noops=hparams.eval_max_num_noops,
clipped=False
)
tf.logging.vlog(1, "metric_name: %s", metric_name)
eval_metrics_dir = os.path.join(output_dir, "eval_metrics")
eval_metrics_dir = os.path.expanduser(eval_metrics_dir)
tf.gfile.MakeDirs(eval_metrics_dir)
eval_metrics_writer = tf.summary.FileWriter(eval_metrics_dir)
def evaluate_on_new_model(model_dir_path):
global step
eval_metrics = rl_utils.evaluate_all_configs(hparams, model_dir_path)
tf.logging.info(
"Agent eval metrics:\n{}".format(pprint.pformat(eval_metrics)))
rl_utils.summarize_metrics(eval_metrics_writer, eval_metrics, step)
if report_fn:
report_fn(eval_metrics[metric_name], step)
step += 1
policy_hparams.epochs_num = total_steps
policy_hparams.save_models_every_epochs = eval_every_epochs
else:
def evaluate_on_new_model(model_dir_path):
del model_dir_path
raise NotImplementedError(
"This function is currently implemented only for ppo")
learner.train(env_fn,
policy_hparams,
simulated=False,
save_continuously=True,
epoch=0,
model_save_fn=evaluate_on_new_model)
|
python
|
def train(hparams, output_dir, env_problem_name, report_fn=None):
"""Train."""
env_fn = initialize_env_specs(hparams, env_problem_name)
tf.logging.vlog(1, "HParams in trainer_model_free.train : %s",
misc_utils.pprint_hparams(hparams))
tf.logging.vlog(1, "Using hparams.base_algo: %s", hparams.base_algo)
learner = rl_utils.LEARNERS[hparams.base_algo](
hparams.frame_stack_size, output_dir, output_dir, total_num_epochs=1
)
policy_hparams = trainer_lib.create_hparams(hparams.base_algo_params)
rl_utils.update_hparams_from_hparams(
policy_hparams, hparams, hparams.base_algo + "_"
)
tf.logging.vlog(1, "Policy HParams : %s",
misc_utils.pprint_hparams(policy_hparams))
# TODO(konradczechowski): remove base_algo dependance, when evaluation method
# will be decided
if hparams.base_algo == "ppo":
total_steps = policy_hparams.epochs_num
tf.logging.vlog(2, "total_steps: %d", total_steps)
eval_every_epochs = policy_hparams.eval_every_epochs
tf.logging.vlog(2, "eval_every_epochs: %d", eval_every_epochs)
if eval_every_epochs == 0:
eval_every_epochs = total_steps
policy_hparams.eval_every_epochs = 0
metric_name = rl_utils.get_metric_name(
sampling_temp=hparams.eval_sampling_temps[0],
max_num_noops=hparams.eval_max_num_noops,
clipped=False
)
tf.logging.vlog(1, "metric_name: %s", metric_name)
eval_metrics_dir = os.path.join(output_dir, "eval_metrics")
eval_metrics_dir = os.path.expanduser(eval_metrics_dir)
tf.gfile.MakeDirs(eval_metrics_dir)
eval_metrics_writer = tf.summary.FileWriter(eval_metrics_dir)
def evaluate_on_new_model(model_dir_path):
global step
eval_metrics = rl_utils.evaluate_all_configs(hparams, model_dir_path)
tf.logging.info(
"Agent eval metrics:\n{}".format(pprint.pformat(eval_metrics)))
rl_utils.summarize_metrics(eval_metrics_writer, eval_metrics, step)
if report_fn:
report_fn(eval_metrics[metric_name], step)
step += 1
policy_hparams.epochs_num = total_steps
policy_hparams.save_models_every_epochs = eval_every_epochs
else:
def evaluate_on_new_model(model_dir_path):
del model_dir_path
raise NotImplementedError(
"This function is currently implemented only for ppo")
learner.train(env_fn,
policy_hparams,
simulated=False,
save_continuously=True,
epoch=0,
model_save_fn=evaluate_on_new_model)
|
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Train.
|
[
"Train",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/trainer_model_free.py#L85-L153
|
train
|
Train the model using hparams.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(0b10011 + 0o35), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(142 - 93) + '\x31' + chr(0b10000 + 0o44), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(48), 8), ehT0Px3KOsy9(chr(1889 - 1841) + chr(11419 - 11308) + '\061' + '\x36' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(538 - 490) + chr(111) + '\x31' + chr(0b1010 + 0o51) + chr(951 - 900), ord("\x08")), ehT0Px3KOsy9(chr(636 - 588) + chr(0b1101111) + chr(0b110010) + '\064' + '\x37', 0b1000), ehT0Px3KOsy9(chr(349 - 301) + chr(0b100010 + 0o115) + chr(0b101010 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + '\067' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + chr(0b110011) + '\065' + chr(1218 - 1163), 36962 - 36954), ehT0Px3KOsy9('\060' + '\157' + '\065' + chr(0b0 + 0o67), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b10111 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(7865 - 7754) + chr(0b110010) + chr(48) + chr(0b110111), 9091 - 9083), ehT0Px3KOsy9('\x30' + chr(4794 - 4683) + '\063' + '\063' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100000 + 0o117) + chr(49) + chr(0b110001 + 0o1), 42693 - 42685), ehT0Px3KOsy9(chr(0b110000) + chr(4297 - 4186) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110111) + '\x35', 30940 - 30932), ehT0Px3KOsy9('\060' + chr(6681 - 6570) + chr(49) + chr(0b1000 + 0o50) + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b101110 + 0o10) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\067' + chr(1859 - 1809), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(0b110000 + 0o3) + chr(0b100101 + 0o20) + chr(0b110100 + 0o3), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10010 + 0o40) + '\063' + chr(0b101000 + 0o11), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + '\x36', 39133 - 39125), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\064' + '\x37', 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(2235 - 2124) + chr(492 - 442) + '\063' + chr(0b1100 + 0o47), 3214 - 3206), ehT0Px3KOsy9(chr(48) + chr(1488 - 1377) + '\066' + chr(2095 - 2041), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b110101) + chr(0b11010 + 0o34), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(426 - 378) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2399 - 2350) + chr(0b110110) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b101100 + 0o5) + chr(51) + chr(0b1100 + 0o51), 0o10), ehT0Px3KOsy9('\060' + chr(4212 - 4101) + '\x33' + chr(54) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b1010 + 0o55) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(135 - 24) + chr(0b11001 + 0o32) + '\065' + chr(2492 - 2438), 8), ehT0Px3KOsy9(chr(489 - 441) + chr(0b1101111) + chr(1510 - 1460), 8), ehT0Px3KOsy9(chr(0b110000) + chr(11865 - 11754) + '\062' + '\x37' + chr(786 - 736), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + chr(0b110101) + '\x30', 9257 - 9249), ehT0Px3KOsy9(chr(286 - 238) + '\157' + chr(0b10000 + 0o41) + chr(0b110110) + chr(0b10111 + 0o36), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1111 + 0o44) + chr(0b110010 + 0o2), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(52) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1111 + 0o42) + '\x31' + '\062', 56324 - 56316)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + '\065' + chr(0b100111 + 0o11), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'.'), '\x64' + chr(5135 - 5034) + chr(0b1100011) + chr(9400 - 9289) + chr(0b101000 + 0o74) + '\x65')(chr(117) + '\x74' + chr(102) + chr(0b11011 + 0o22) + chr(2056 - 2000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def e80gRioCjdat(n4ljua2gi1Pr, nd0OX_BS6_o4, SQOj28X9N9zs, FRqNoLmvqdQl=None):
LwGmvHQYXm7c = ftKqvGsyjDGo(n4ljua2gi1Pr, SQOj28X9N9zs)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'v o\x12'), chr(0b11111 + 0o105) + '\x65' + chr(0b1 + 0o142) + chr(0b101001 + 0o106) + chr(0b1100100) + chr(0b111011 + 0o52))(chr(11316 - 11199) + chr(0b1001110 + 0o46) + chr(102) + chr(0b10101 + 0o30) + '\x38'))(ehT0Px3KOsy9('\x30' + chr(7536 - 7425) + chr(1863 - 1814), 12563 - 12555), xafqLlk3kkUe(SXOLrMavuUCe(b'H\x1ca\x07:\xcaq[\x86A2\xf3\xa8kjS"\xc6e\x82\xf6b\xc2\xf7i\x88\xb7\x118\xdf\xcf\x9cc\xd3FU&\x04%9'), '\x64' + chr(920 - 819) + chr(9397 - 9298) + chr(0b1000 + 0o147) + '\x64' + chr(0b10010 + 0o123))(chr(2215 - 2098) + '\x74' + chr(1603 - 1501) + '\x2d' + '\070'), xafqLlk3kkUe(kQW8mMspQUIu, xafqLlk3kkUe(SXOLrMavuUCe(b'p<r\x1c5\xd3]\x13\x9fN`\xe6\xb7y'), chr(0b110100 + 0o60) + chr(7799 - 7698) + '\143' + chr(0b1000000 + 0o57) + chr(100) + '\145')(chr(0b1110101) + chr(1839 - 1723) + '\146' + '\055' + '\x38'))(n4ljua2gi1Pr))
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'v o\x12'), chr(1225 - 1125) + '\x65' + '\x63' + chr(0b1000 + 0o147) + chr(4493 - 4393) + '\x65')(chr(0b1110101) + chr(0b1100 + 0o150) + '\146' + chr(0b101101) + '\070'))(ehT0Px3KOsy9('\x30' + chr(7796 - 7685) + '\061', 8), xafqLlk3kkUe(SXOLrMavuUCe(b'U?i\x1b<\x87j\x0b\x8e]s\xea\xa9$a\\4\xd1e\x8e\xf5a\xc8\xa1\x16\xcb\xb6'), '\x64' + '\145' + chr(0b1100011) + chr(0b1001110 + 0o41) + chr(6866 - 6766) + chr(0b1100101))(chr(117) + chr(0b1100111 + 0o15) + '\x66' + chr(0b100100 + 0o11) + chr(2282 - 2226)), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'b-s\x10\x04\xc6n\x1c\x80'), '\144' + chr(101) + chr(99) + chr(0b1001000 + 0o47) + chr(7174 - 7074) + '\x65')(chr(0b1110101) + '\164' + chr(0b11011 + 0o113) + '\x2d' + '\x38')))
pdR5uWN8d5YQ = dS9nMkNNnOq2.LEARNERS[n4ljua2gi1Pr.base_algo](n4ljua2gi1Pr.frame_stack_size, nd0OX_BS6_o4, nd0OX_BS6_o4, total_num_epochs=ehT0Px3KOsy9(chr(303 - 255) + chr(111) + '\x31', 8))
irXbreMwM8Zh = KvtIAVGi33Ty.create_hparams(n4ljua2gi1Pr.base_algo_params)
xafqLlk3kkUe(dS9nMkNNnOq2, xafqLlk3kkUe(SXOLrMavuUCe(b'u<d\x14/\xc2]\x13\x9fN`\xe6\xb7y\\[5\xdbW\xb0\xf1v\xc6\xe9W\x83\xb6'), chr(0b1100100) + '\x65' + '\x63' + chr(0b1000101 + 0o52) + chr(0b1100100) + chr(2306 - 2205))('\165' + '\x74' + chr(0b1010101 + 0o21) + chr(0b10011 + 0o32) + '\x38'))(irXbreMwM8Zh, n4ljua2gi1Pr, xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'b-s\x10\x04\xc6n\x1c\x80'), chr(0b1100100) + chr(7356 - 7255) + chr(7739 - 7640) + '\x6f' + chr(8773 - 8673) + chr(101))('\x75' + '\164' + chr(0b111001 + 0o55) + chr(0b110 + 0o47) + '\x38')) + xafqLlk3kkUe(SXOLrMavuUCe(b'_'), '\x64' + chr(2187 - 2086) + chr(0b111000 + 0o53) + chr(0b1101111) + '\x64' + chr(3833 - 3732))(chr(0b1000011 + 0o62) + chr(0b1000010 + 0o62) + chr(0b1100110) + chr(45) + '\x38'))
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'v o\x12'), '\144' + '\x65' + chr(7417 - 7318) + chr(0b1100001 + 0o16) + chr(100) + '\145')(chr(0b1011101 + 0o30) + chr(0b1110100) + chr(0b1001100 + 0o32) + chr(45) + chr(56)))(ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'P#l\x1c8\xde"3\xbfN`\xe6\xb7y#\x07g\x91I'), chr(0b1100100) + chr(0b1001001 + 0o34) + '\143' + chr(111) + chr(0b1010101 + 0o17) + '\145')(chr(0b1101011 + 0o12) + '\x74' + chr(0b1010000 + 0o26) + '\055' + chr(56)), xafqLlk3kkUe(kQW8mMspQUIu, xafqLlk3kkUe(SXOLrMavuUCe(b'p<r\x1c5\xd3]\x13\x9fN`\xe6\xb7y'), '\x64' + chr(5234 - 5133) + chr(0b1010011 + 0o20) + '\x6f' + chr(100) + '\145')(chr(0b1101100 + 0o11) + chr(0b1110100) + chr(102) + '\x2d' + '\070'))(irXbreMwM8Zh))
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'b-s\x10\x04\xc6n\x1c\x80'), chr(0b110 + 0o136) + chr(0b1 + 0o144) + '\x63' + '\x6f' + chr(100) + chr(0b1100101))(chr(7973 - 7856) + '\164' + chr(0b111 + 0o137) + chr(1399 - 1354) + chr(0b111000))) == xafqLlk3kkUe(SXOLrMavuUCe(b'p<o'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(111) + chr(100) + chr(101))('\x75' + chr(0b11100 + 0o130) + chr(0b1101 + 0o131) + chr(0b10011 + 0o32) + chr(56)):
Ex1j99qsBdgt = irXbreMwM8Zh.epochs_num
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'v o\x12'), '\144' + chr(0b1100101) + chr(99) + chr(111) + '\144' + chr(6091 - 5990))('\x75' + chr(0b1011010 + 0o32) + chr(102) + chr(45) + chr(1495 - 1439)))(ehT0Px3KOsy9('\060' + chr(434 - 323) + chr(0b11000 + 0o32), 8), xafqLlk3kkUe(SXOLrMavuUCe(b't#t\x147\xf8q\x0f\x8a_a\xbd\xfa/g'), '\144' + chr(5646 - 5545) + chr(0b1001010 + 0o31) + '\x6f' + '\144' + '\145')(chr(0b1110010 + 0o3) + chr(116) + '\146' + chr(0b101101) + chr(0b1100 + 0o54)), Ex1j99qsBdgt)
N8BvhB87aVkD = irXbreMwM8Zh.eval_every_epochs
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'v o\x12'), chr(0b1001001 + 0o33) + chr(5798 - 5697) + '\x63' + '\x6f' + chr(0b1011101 + 0o7) + chr(0b1100101))(chr(117) + chr(0b110011 + 0o101) + chr(0b1100110) + chr(45) + chr(0b111000)))(ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + '\062', 8), xafqLlk3kkUe(SXOLrMavuUCe(b'e:a\x19\x04\xc2t\x1e\x9dVM\xe2\xaae`U4\x8e\x1a\xca\xfd'), chr(7840 - 7740) + chr(0b1100101) + '\143' + chr(0b1010001 + 0o36) + '\x64' + chr(3681 - 3580))('\x75' + '\164' + '\x66' + chr(1545 - 1500) + chr(56)), N8BvhB87aVkD)
if N8BvhB87aVkD == ehT0Px3KOsy9(chr(48) + chr(111) + chr(48), 8):
N8BvhB87aVkD = Ex1j99qsBdgt
irXbreMwM8Zh.N8BvhB87aVkD = ehT0Px3KOsy9('\x30' + '\157' + '\x30', 8)
Fk10FZM6EP2K = dS9nMkNNnOq2.get_metric_name(sampling_temp=n4ljua2gi1Pr.eval_sampling_temps[ehT0Px3KOsy9('\060' + chr(111) + chr(48), 8)], max_num_noops=n4ljua2gi1Pr.eval_max_num_noops, clipped=ehT0Px3KOsy9(chr(48) + '\157' + chr(993 - 945), 8))
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'v o\x12'), chr(0b10001 + 0o123) + chr(0b1010 + 0o133) + chr(1078 - 979) + chr(10305 - 10194) + chr(0b1100100) + '\145')('\x75' + chr(116) + chr(4078 - 3976) + '\x2d' + '\x38'))(ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101001 + 0o10), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'm)t\x072\xc4]\x15\x8eBw\xbd\xfa/p'), '\144' + '\145' + chr(6734 - 6635) + chr(0b1101111) + chr(100) + chr(0b1010101 + 0o20))(chr(462 - 345) + '\x74' + '\x66' + chr(0b11101 + 0o20) + chr(56)), Fk10FZM6EP2K)
YJ1Ho2nmjmPl = oqhJDdMJfuwx.path.join(nd0OX_BS6_o4, xafqLlk3kkUe(SXOLrMavuUCe(b'e:a\x19\x04\xcag\x0f\x9dFq\xf4'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\157' + '\144' + chr(9168 - 9067))('\x75' + chr(0b1110100) + chr(5481 - 5379) + '\x2d' + '\x38'))
YJ1Ho2nmjmPl = oqhJDdMJfuwx.path.expanduser(YJ1Ho2nmjmPl)
xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'M-k\x10\x1f\xcep\x08'), '\x64' + chr(0b11010 + 0o113) + chr(0b110010 + 0o61) + '\157' + chr(0b111110 + 0o46) + chr(0b111110 + 0o47))('\165' + chr(116) + chr(102) + '\055' + '\070'))(YJ1Ho2nmjmPl)
mOm1AorxMOLi = IDJ2eXGCBCDu.summary.FileWriter(YJ1Ho2nmjmPl)
def jlEsm9Th14yh(hdZD03xiSXLL):
global kDuFsAhEatcU
gEY30c7K0x8W = dS9nMkNNnOq2.evaluate_all_configs(n4ljua2gi1Pr, hdZD03xiSXLL)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'S{H\r.\xc4eL\x85CH\xec'), '\x64' + chr(101) + '\143' + '\157' + '\x64' + '\x65')(chr(0b1000111 + 0o56) + '\x74' + '\146' + '\055' + '\x38'))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'A+e\x1b/\x87g\r\x8eC2\xea\xbf~qT$\xc7\x00\xe5\xe2{'), '\144' + chr(0b110101 + 0o60) + chr(0b1100011) + '\157' + '\144' + chr(101))(chr(0b1110101) + chr(116) + chr(102) + chr(45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'Vxr\x1a\x13\xc6QH\xbf_w\xed'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(111) + chr(0b10101 + 0o117) + '\145')(chr(0b1110101) + chr(1550 - 1434) + chr(0b10011 + 0o123) + chr(45) + chr(56)))(xafqLlk3kkUe(quvQcGrKjCXS, xafqLlk3kkUe(SXOLrMavuUCe(b'p*o\x076\xc6v'), '\x64' + chr(0b11110 + 0o107) + chr(2580 - 2481) + chr(10115 - 10004) + chr(0b1100100) + chr(101))('\165' + '\x74' + chr(0b100011 + 0o103) + chr(45) + '\070'))(gEY30c7K0x8W)))
xafqLlk3kkUe(dS9nMkNNnOq2, xafqLlk3kkUe(SXOLrMavuUCe(b's9m\x18:\xd5k\x01\x8ap\x7f\xe2\xaexj^4'), '\x64' + '\x65' + chr(0b1100011) + chr(0b1010001 + 0o36) + chr(100) + '\x65')(chr(3051 - 2934) + chr(116) + chr(0b1100110) + chr(45) + chr(56)))(mOm1AorxMOLi, gEY30c7K0x8W, kDuFsAhEatcU)
if FRqNoLmvqdQl:
FRqNoLmvqdQl(gEY30c7K0x8W[Fk10FZM6EP2K], kDuFsAhEatcU)
kDuFsAhEatcU += ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001), 8)
irXbreMwM8Zh.bmKj4pIdOoua = Ex1j99qsBdgt
irXbreMwM8Zh.wRrvCgw367Yr = N8BvhB87aVkD
else:
def jlEsm9Th14yh(hdZD03xiSXLL):
del hdZD03xiSXLL
raise _zJ24Vce7wp0(xafqLlk3kkUe(SXOLrMavuUCe(b'T$i\x06{\xc1w\x15\x8c[{\xe8\xb4*jNg\xd7O\x9d\xebc\xc9\xefZ\x97\xe5\x1d0\x81\xd7\x8bo\xdfF\x01y@ %n yU=\xc8p[\x9f_}'), chr(5904 - 5804) + '\x65' + '\143' + chr(0b101000 + 0o107) + chr(0b1100100) + chr(0b1100101))(chr(10453 - 10336) + chr(7294 - 7178) + chr(102) + chr(0b101101) + chr(0b10010 + 0o46)))
xafqLlk3kkUe(pdR5uWN8d5YQ, xafqLlk3kkUe(SXOLrMavuUCe(b'et0\x12\t\xcem8\x85Ks\xf3'), chr(0b1100100) + chr(0b100000 + 0o105) + '\x63' + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(3134 - 3017) + '\164' + '\146' + '\055' + '\070'))(LwGmvHQYXm7c, irXbreMwM8Zh, simulated=ehT0Px3KOsy9('\x30' + chr(111) + '\060', 8), save_continuously=ehT0Px3KOsy9('\x30' + chr(11165 - 11054) + chr(0b110001), 8), epoch=ehT0Px3KOsy9('\060' + '\157' + '\060', 8), model_save_fn=jlEsm9Th14yh)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/learning_rate.py
|
learning_rate_factor
|
def learning_rate_factor(name, step_num, hparams):
"""Compute the designated learning rate factor from hparams."""
if name == "constant":
tf.logging.info("Base learning rate: %f", hparams.learning_rate_constant)
return hparams.learning_rate_constant
elif name == "linear_warmup":
return tf.minimum(1.0, step_num / hparams.learning_rate_warmup_steps)
elif name == "linear_decay":
ret = (hparams.train_steps - step_num) / hparams.learning_rate_decay_steps
return tf.minimum(1.0, tf.maximum(0.0, ret))
elif name == "cosdecay": # openai gpt
in_warmup = tf.cast(step_num <= hparams.learning_rate_warmup_steps,
dtype=tf.float32)
ret = 0.5 * (1 + tf.cos(
np.pi * step_num / hparams.learning_rate_decay_steps))
# if in warmup stage return 1 else return the decayed value
return in_warmup * 1 + (1 - in_warmup) * ret
elif name == "single_cycle_cos_decay":
# Cosine decay to zero with a single cycle. This is different from
# "cosdecay" because it starts at 1 when the warmup steps end.
x = tf.maximum(step_num, hparams.learning_rate_warmup_steps)
step = x - hparams.learning_rate_warmup_steps
return tf.math.cos(
step * np.pi / hparams.learning_rate_decay_steps) / 2.0 + 0.5
elif name == "rsqrt_decay":
return tf.rsqrt(tf.maximum(step_num, hparams.learning_rate_warmup_steps))
elif name == "rsqrt_normalized_decay":
scale = tf.sqrt(tf.to_float(hparams.learning_rate_warmup_steps))
return scale * tf.rsqrt(tf.maximum(
step_num, hparams.learning_rate_warmup_steps))
elif name == "exp_decay":
decay_steps = hparams.learning_rate_decay_steps
warmup_steps = hparams.learning_rate_warmup_steps
p = (step_num - warmup_steps) / decay_steps
p = tf.maximum(p, 0.)
if hparams.learning_rate_decay_staircase:
p = tf.floor(p)
return tf.pow(hparams.learning_rate_decay_rate, p)
elif name == "rsqrt_hidden_size":
return hparams.hidden_size ** -0.5
elif name == "legacy":
return legacy_learning_rate_schedule(hparams)
else:
raise ValueError("unknown learning rate factor %s" % name)
|
python
|
def learning_rate_factor(name, step_num, hparams):
"""Compute the designated learning rate factor from hparams."""
if name == "constant":
tf.logging.info("Base learning rate: %f", hparams.learning_rate_constant)
return hparams.learning_rate_constant
elif name == "linear_warmup":
return tf.minimum(1.0, step_num / hparams.learning_rate_warmup_steps)
elif name == "linear_decay":
ret = (hparams.train_steps - step_num) / hparams.learning_rate_decay_steps
return tf.minimum(1.0, tf.maximum(0.0, ret))
elif name == "cosdecay": # openai gpt
in_warmup = tf.cast(step_num <= hparams.learning_rate_warmup_steps,
dtype=tf.float32)
ret = 0.5 * (1 + tf.cos(
np.pi * step_num / hparams.learning_rate_decay_steps))
# if in warmup stage return 1 else return the decayed value
return in_warmup * 1 + (1 - in_warmup) * ret
elif name == "single_cycle_cos_decay":
# Cosine decay to zero with a single cycle. This is different from
# "cosdecay" because it starts at 1 when the warmup steps end.
x = tf.maximum(step_num, hparams.learning_rate_warmup_steps)
step = x - hparams.learning_rate_warmup_steps
return tf.math.cos(
step * np.pi / hparams.learning_rate_decay_steps) / 2.0 + 0.5
elif name == "rsqrt_decay":
return tf.rsqrt(tf.maximum(step_num, hparams.learning_rate_warmup_steps))
elif name == "rsqrt_normalized_decay":
scale = tf.sqrt(tf.to_float(hparams.learning_rate_warmup_steps))
return scale * tf.rsqrt(tf.maximum(
step_num, hparams.learning_rate_warmup_steps))
elif name == "exp_decay":
decay_steps = hparams.learning_rate_decay_steps
warmup_steps = hparams.learning_rate_warmup_steps
p = (step_num - warmup_steps) / decay_steps
p = tf.maximum(p, 0.)
if hparams.learning_rate_decay_staircase:
p = tf.floor(p)
return tf.pow(hparams.learning_rate_decay_rate, p)
elif name == "rsqrt_hidden_size":
return hparams.hidden_size ** -0.5
elif name == "legacy":
return legacy_learning_rate_schedule(hparams)
else:
raise ValueError("unknown learning rate factor %s" % name)
|
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Compute the designated learning rate factor from hparams.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/learning_rate.py#L26-L69
|
train
|
Compute the designated learning rate factor from 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('\060' + chr(111) + chr(2381 - 2329), ord("\x08")), ehT0Px3KOsy9(chr(944 - 896) + chr(0b101101 + 0o102) + chr(0b10000 + 0o41) + chr(0b110111) + chr(2009 - 1957), 37873 - 37865), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\x31' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\060' + chr(48), 5264 - 5256), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + '\x33' + '\x32' + chr(0b110100 + 0o1), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + '\x33' + chr(0b110111) + chr(2132 - 2077), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b111010 + 0o65) + chr(50) + chr(0b11101 + 0o26) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10 + 0o155) + chr(0b110001) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100101 + 0o14) + chr(53) + chr(0b10001 + 0o43), 63459 - 63451), ehT0Px3KOsy9('\060' + chr(11023 - 10912) + chr(2450 - 2400), 0o10), ehT0Px3KOsy9(chr(1193 - 1145) + '\x6f' + chr(0b110010) + '\066' + '\066', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(660 - 612) + '\x6f' + chr(50) + chr(48) + chr(2244 - 2193), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(541 - 492) + '\x37' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1622 - 1574) + '\x6f' + '\061' + chr(0b110110) + chr(0b10111 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(1602 - 1554) + chr(0b1101111) + chr(1319 - 1269) + chr(1677 - 1623) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(2155 - 2107) + '\157' + chr(52) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(1573 - 1524) + chr(2664 - 2612) + '\064', 9998 - 9990), ehT0Px3KOsy9('\x30' + chr(8536 - 8425) + '\x35' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100010 + 0o17) + '\x35' + chr(0b111 + 0o60), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(2384 - 2335) + '\062' + chr(0b110110), 47139 - 47131), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\x31' + chr(51) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b100001 + 0o25) + chr(0b10101 + 0o34), 50752 - 50744), ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + chr(2068 - 2019) + chr(0b1100 + 0o50) + chr(52), 8), ehT0Px3KOsy9(chr(48) + chr(3567 - 3456) + '\063' + chr(1489 - 1440) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(736 - 686) + '\x31' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1521 - 1473) + '\x6f' + chr(50) + '\060' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(11830 - 11719) + chr(2185 - 2136) + chr(0b110110) + chr(1787 - 1738), 18533 - 18525), ehT0Px3KOsy9('\x30' + chr(11417 - 11306) + chr(0b100010 + 0o21) + '\061' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + '\x31' + chr(0b110011) + '\x32', 0o10), ehT0Px3KOsy9(chr(568 - 520) + '\157' + chr(1558 - 1506) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(352 - 302) + chr(0b110010) + chr(1666 - 1617), 0b1000), ehT0Px3KOsy9(chr(1375 - 1327) + '\x6f' + chr(0b110011) + chr(54) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\061' + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(2985 - 2874) + '\x32' + chr(55) + chr(0b101001 + 0o16), 0b1000), ehT0Px3KOsy9(chr(1439 - 1391) + chr(7703 - 7592) + chr(0b100 + 0o57) + '\061' + chr(2380 - 2325), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b101001 + 0o11) + chr(833 - 781) + chr(771 - 722), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100000 + 0o21) + chr(0b11101 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(48) + chr(53), 13831 - 13823), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b101110 + 0o4) + chr(0b110101), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(11747 - 11636) + chr(2670 - 2617) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'*'), chr(0b110 + 0o136) + chr(9760 - 9659) + chr(99) + chr(111) + chr(0b1001011 + 0o31) + '\x65')(chr(13512 - 13395) + '\x74' + chr(4899 - 4797) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def eEh1MPdafG_x(AIvJRzLdDfgF, s4MGxQMbnqrH, n4ljua2gi1Pr):
if AIvJRzLdDfgF == xafqLlk3kkUe(SXOLrMavuUCe(b'g\x13\xa03\xa1\x9e\xf3{'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + '\144' + '\x65')(chr(0b110111 + 0o76) + '\164' + chr(5950 - 5848) + '\x2d' + chr(56)):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'WK\x868\xa0\x9c\xfa8\x06n\xecr'), '\144' + '\145' + chr(0b1001101 + 0o26) + chr(0b1101111) + chr(9565 - 9465) + '\x65')('\x75' + chr(0b1000 + 0o154) + chr(102) + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'F\x1d\xbd%\xf5\x93\xf8n\x1el\xdfw\xe4]\x05\xd4W\x01\x10Os;'), chr(4884 - 4784) + chr(101) + chr(1882 - 1783) + chr(10984 - 10873) + chr(0b1100100) + chr(0b1010011 + 0o22))(chr(0b1001001 + 0o54) + chr(2328 - 2212) + chr(116 - 14) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'K\x08\xf7\x08\x80\x95\xf3d\x14Z\xf7F'), chr(6827 - 6727) + chr(8073 - 7972) + '\x63' + '\x6f' + chr(100) + chr(0b11100 + 0o111))(chr(117) + chr(11623 - 11507) + chr(0b1100110) + chr(45) + '\070')))
return xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'K\x08\xf7\x08\x80\x95\xf3d\x14Z\xf7F'), chr(0b1100100) + chr(9871 - 9770) + chr(2669 - 2570) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(2519 - 2402) + chr(116) + chr(102) + chr(45) + chr(0b111000)))
elif AIvJRzLdDfgF == xafqLlk3kkUe(SXOLrMavuUCe(b'h\x15\xa0%\xb4\x8d\xc2x\rp\xdbl\xf3'), '\x64' + chr(0b11001 + 0o114) + '\x63' + chr(0b1101111) + chr(0b100101 + 0o77) + '\145')(chr(12378 - 12261) + chr(0b1010101 + 0o37) + chr(910 - 808) + chr(0b1100 + 0o41) + '\070'):
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'i\x15\xa0)\xb8\x8a\xf0'), '\144' + '\145' + chr(5222 - 5123) + chr(4893 - 4782) + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(1131 - 1029) + chr(150 - 105) + chr(0b111000)))(1.0, s4MGxQMbnqrH / xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'b4\xb7(\xba\x86\xdab\x08t\xfb '), chr(0b1100100) + '\x65' + '\143' + '\157' + chr(100) + chr(5667 - 5566))('\165' + '\164' + chr(0b1011000 + 0o16) + chr(45) + chr(1123 - 1067))))
elif AIvJRzLdDfgF == xafqLlk3kkUe(SXOLrMavuUCe(b'h\x15\xa0%\xb4\x8d\xc2k\ta\xd7`'), chr(7468 - 7368) + chr(0b1100101) + '\143' + '\x6f' + chr(384 - 284) + chr(6583 - 6482))(chr(0b1110101) + chr(0b1010010 + 0o42) + chr(0b1100110) + '\055' + '\x38'):
VHn4CV4Ymrei = (n4ljua2gi1Pr.train_steps - s4MGxQMbnqrH) / n4ljua2gi1Pr.YBAB1XyoxOc5
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'i\x15\xa0)\xb8\x8a\xf0'), '\x64' + chr(3730 - 3629) + chr(3728 - 3629) + chr(0b1101111) + '\x64' + '\145')(chr(117) + '\164' + chr(0b1100110) + chr(45) + chr(623 - 567)))(1.0, xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'i\x1d\xb6)\xb8\x8a\xf0'), chr(0b1100100) + chr(0b1100101) + chr(0b10111 + 0o114) + chr(111) + '\x64' + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(8115 - 8013) + chr(45) + '\070'))(0.0, VHn4CV4Ymrei))
elif AIvJRzLdDfgF == xafqLlk3kkUe(SXOLrMavuUCe(b'g\x13\xbd$\xb0\x9c\xfcv'), '\x64' + '\x65' + chr(7165 - 7066) + '\157' + chr(8791 - 8691) + chr(101))(chr(117) + chr(11864 - 11748) + chr(0b100101 + 0o101) + '\055' + chr(0b11010 + 0o36)):
HKZvWEUam6EL = IDJ2eXGCBCDu.cast(s4MGxQMbnqrH <= n4ljua2gi1Pr.fHyhoyGmdvM9, dtype=IDJ2eXGCBCDu.float32)
VHn4CV4Ymrei = 0.5 * (ehT0Px3KOsy9('\060' + '\x6f' + chr(940 - 891), ord("\x08")) + IDJ2eXGCBCDu.cos(WqUC3KWvYVup.pi * s4MGxQMbnqrH / n4ljua2gi1Pr.YBAB1XyoxOc5))
return HKZvWEUam6EL * ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001), 8) + (ehT0Px3KOsy9(chr(0b110000) + chr(7499 - 7388) + '\061', 8) - HKZvWEUam6EL) * VHn4CV4Ymrei
elif AIvJRzLdDfgF == xafqLlk3kkUe(SXOLrMavuUCe(b"w\x15\xa0'\xb9\x9a\xc2l\x15a\xda|\xdc\x1e\x18\xc6|\x00O\x0c7$"), '\x64' + chr(8267 - 8166) + '\x63' + chr(0b1100110 + 0o11) + chr(100) + chr(0b11001 + 0o114))(chr(0b1110101) + chr(9936 - 9820) + chr(0b1100110) + chr(0b101101) + chr(56)):
OeWW0F1dBPRQ = IDJ2eXGCBCDu.maximum(s4MGxQMbnqrH, n4ljua2gi1Pr.fHyhoyGmdvM9)
kDuFsAhEatcU = OeWW0F1dBPRQ - n4ljua2gi1Pr.fHyhoyGmdvM9
return xafqLlk3kkUe(IDJ2eXGCBCDu.math, xafqLlk3kkUe(SXOLrMavuUCe(b'g\x13\xbd'), '\144' + '\145' + chr(2313 - 2214) + chr(0b1101111) + chr(0b1 + 0o143) + chr(0b1001111 + 0o26))(chr(0b1110101) + '\164' + chr(102) + chr(593 - 548) + chr(0b111000)))(kDuFsAhEatcU * xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b't\x15'), chr(0b1100100) + chr(2432 - 2331) + chr(178 - 79) + chr(440 - 329) + chr(0b111110 + 0o46) + chr(0b110100 + 0o61))(chr(0b1110101) + '\164' + '\146' + chr(0b101101) + chr(0b111000))) / xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b']>\x8f\x02\xe4\xa7\xe4`\x14M\xd5,'), chr(100) + chr(8332 - 8231) + '\143' + '\157' + chr(8130 - 8030) + chr(0b1100101))('\x75' + '\x74' + '\146' + '\055' + chr(56)))) / 2.0 + 0.5
elif AIvJRzLdDfgF == xafqLlk3kkUe(SXOLrMavuUCe(b'v\x0f\xbf2\xa1\xa0\xf9j\x0fc\xcf'), chr(100) + '\145' + '\x63' + chr(0b11111 + 0o120) + chr(0b110010 + 0o62) + chr(738 - 637))(chr(0b1110101) + '\x74' + chr(3296 - 3194) + chr(0b100001 + 0o14) + '\070'):
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'v\x0f\xbf2\xa1'), chr(4087 - 3987) + chr(0b1001111 + 0o26) + '\x63' + chr(111) + chr(0b1100100) + '\145')('\165' + chr(0b1110100) + '\x66' + '\055' + '\070'))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'i\x1d\xb6)\xb8\x8a\xf0'), chr(1706 - 1606) + chr(0b100000 + 0o105) + chr(0b1001111 + 0o24) + '\x6f' + chr(9058 - 8958) + '\x65')(chr(117) + '\164' + chr(102) + chr(0b1001 + 0o44) + '\x38'))(s4MGxQMbnqrH, xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'b4\xb7(\xba\x86\xdab\x08t\xfb '), '\x64' + chr(101) + '\x63' + '\x6f' + '\144' + chr(0b10011 + 0o122))(chr(3878 - 3761) + '\164' + '\x66' + chr(1655 - 1610) + '\070'))))
elif AIvJRzLdDfgF == xafqLlk3kkUe(SXOLrMavuUCe(b'v\x0f\xbf2\xa1\xa0\xf3`\x1eo\xd7u\xea\x07\x12\xd1|\x00O\x0c7$'), chr(100) + chr(0b1100101) + chr(551 - 452) + '\157' + chr(3436 - 3336) + chr(0b1100101))(chr(200 - 83) + chr(0b1110100) + '\x66' + '\055' + '\x38'):
xjPLimsZRgb9 = IDJ2eXGCBCDu.sqrt(IDJ2eXGCBCDu.to_float(n4ljua2gi1Pr.fHyhoyGmdvM9))
return xjPLimsZRgb9 * xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'v\x0f\xbf2\xa1'), '\x64' + '\145' + chr(2435 - 2336) + '\157' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(8297 - 8181) + chr(102) + chr(0b100101 + 0o10) + '\070'))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'i\x1d\xb6)\xb8\x8a\xf0'), chr(0b110010 + 0o62) + '\145' + chr(0b1100011) + chr(0b1000011 + 0o54) + chr(100) + '\x65')(chr(0b110000 + 0o105) + '\x74' + chr(2119 - 2017) + chr(0b101101) + chr(0b110 + 0o62)))(s4MGxQMbnqrH, xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'b4\xb7(\xba\x86\xdab\x08t\xfb '), '\x64' + '\145' + chr(0b1100011) + chr(0b101001 + 0o106) + chr(3938 - 3838) + chr(0b1100101))('\x75' + chr(116) + chr(1876 - 1774) + '\x2d' + '\x38'))))
elif AIvJRzLdDfgF == xafqLlk3kkUe(SXOLrMavuUCe(b'a\x04\xbe\x1f\xb1\x9a\xfen\x15'), chr(100) + chr(0b1100101) + chr(0b10100 + 0o117) + chr(5220 - 5109) + chr(100) + chr(3272 - 3171))(chr(117) + '\x74' + chr(102) + '\055' + chr(56)):
IyD5QShhvvmp = n4ljua2gi1Pr.YBAB1XyoxOc5
p2epArE4laJj = n4ljua2gi1Pr.fHyhoyGmdvM9
UyakMW2IMFEj = (s4MGxQMbnqrH - p2epArE4laJj) / IyD5QShhvvmp
UyakMW2IMFEj = IDJ2eXGCBCDu.maximum(UyakMW2IMFEj, 0.0)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'h\x19\xaf2\xbb\x96\xf3h3p\xd7m\xe6"\x13\xd0@\x05S0%)\x90\r\xba\xe9\xe0\x02\xaf'), chr(3032 - 2932) + '\x65' + chr(99) + chr(10471 - 10360) + '\x64' + chr(0b110110 + 0o57))('\x75' + chr(5401 - 5285) + chr(3091 - 2989) + chr(0b10111 + 0o26) + '\x38')):
UyakMW2IMFEj = IDJ2eXGCBCDu.floor(UyakMW2IMFEj)
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b't\x13\xb9'), '\x64' + chr(0b1100101) + chr(99) + '\x6f' + '\144' + '\145')(chr(0b1010011 + 0o42) + chr(0b1110100) + chr(0b1100110) + chr(192 - 147) + chr(56)))(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'h\x19\xaf2\xbb\x96\xf3h3p\xd7m\xe6"\x13\xd0@\x05S0$<\x85\x01'), '\x64' + chr(4644 - 4543) + chr(0b1010111 + 0o14) + chr(111) + chr(285 - 185) + chr(3462 - 3361))('\165' + chr(2171 - 2055) + '\x66' + '\x2d' + '\070')), UyakMW2IMFEj)
elif AIvJRzLdDfgF == xafqLlk3kkUe(SXOLrMavuUCe(b'v\x0f\xbf2\xa1\xa0\xf5f\x08f\xd3w\xdc\x0e\x1e\xcfF'), chr(0b1100100) + chr(2059 - 1958) + chr(0b1100011) + chr(111) + '\x64' + chr(101))('\x75' + chr(3173 - 3057) + '\x66' + chr(1679 - 1634) + chr(0b111000)):
return xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'u\x06\xa19\x8d\xb1\xaed\x08j\xf2U'), '\144' + '\x65' + chr(2186 - 2087) + chr(0b1101111) + chr(5864 - 5764) + chr(4940 - 4839))('\165' + '\164' + '\x66' + chr(0b100110 + 0o7) + '\070')) ** (-0.5)
elif AIvJRzLdDfgF == xafqLlk3kkUe(SXOLrMavuUCe(b'h\x19\xa9!\xb6\x86'), chr(0b10100 + 0o120) + '\145' + chr(5132 - 5033) + '\x6f' + '\144' + chr(0b1100101))(chr(117) + chr(13011 - 12895) + chr(0b1110 + 0o130) + chr(1437 - 1392) + chr(0b111000)):
return BtZjIfsBs4dS(n4ljua2gi1Pr)
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'q\x12\xa5.\xba\x88\xf3/\x00g\xd7k\xed\x14\x19\xd2\x03\x16K\x1b3}\x97\x05\xab\xfe\xee\x03\xea\x7fU'), '\144' + '\x65' + chr(99) + '\x6f' + chr(217 - 117) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + chr(45) + chr(0b111000)) % AIvJRzLdDfgF)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/learning_rate.py
|
learning_rate_schedule
|
def learning_rate_schedule(hparams):
"""Learning rate schedule based on hparams."""
mlperf_log.transformer_print(key=mlperf_log.OPT_LR, deferred=True)
mlperf_log.transformer_print(
key=mlperf_log.OPT_LR_WARMUP_STEPS,
value=hparams.learning_rate_warmup_steps)
step_num = _global_step(hparams)
schedule_string = hparams.learning_rate_schedule
names = schedule_string.split("*")
names = [name.strip() for name in names if name.strip()]
ret = tf.constant(1.0)
for name in names:
ret *= learning_rate_factor(name, step_num, hparams)
return ret
|
python
|
def learning_rate_schedule(hparams):
"""Learning rate schedule based on hparams."""
mlperf_log.transformer_print(key=mlperf_log.OPT_LR, deferred=True)
mlperf_log.transformer_print(
key=mlperf_log.OPT_LR_WARMUP_STEPS,
value=hparams.learning_rate_warmup_steps)
step_num = _global_step(hparams)
schedule_string = hparams.learning_rate_schedule
names = schedule_string.split("*")
names = [name.strip() for name in names if name.strip()]
ret = tf.constant(1.0)
for name in names:
ret *= learning_rate_factor(name, step_num, hparams)
return ret
|
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] |
Learning rate schedule based on hparams.
|
[
"Learning",
"rate",
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"based",
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"hparams",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/learning_rate.py#L72-L85
|
train
|
Learning rate schedule based on hparams.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(53) + chr(0b11010 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101101 + 0o4) + chr(2786 - 2731) + chr(0b100 + 0o55), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(980 - 929) + chr(53) + chr(132 - 83), 0b1000), ehT0Px3KOsy9(chr(1593 - 1545) + '\157' + chr(0b110001) + chr(53) + chr(1021 - 969), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + chr(0b110101), 44339 - 44331), ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + chr(210 - 159) + chr(0b110000), 52814 - 52806), ehT0Px3KOsy9(chr(660 - 612) + chr(111) + chr(55) + '\062', 27964 - 27956), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b0 + 0o157) + chr(0b100110 + 0o14) + chr(0b110100) + chr(0b101011 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(54) + chr(1865 - 1817), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1 + 0o60) + '\x30' + chr(1577 - 1522), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + '\063' + chr(50) + chr(1085 - 1034), 30111 - 30103), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(54) + chr(49), 52268 - 52260), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + chr(51) + '\x33' + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + chr(0b11001 + 0o35) + chr(51), 38412 - 38404), ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(0b10000 + 0o47) + '\061', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + '\x33' + chr(55) + '\060', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(0b11111 + 0o26) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1 + 0o156) + '\x33' + '\060' + chr(0b110101), 62761 - 62753), ehT0Px3KOsy9('\060' + chr(4595 - 4484) + '\061' + chr(0b110111) + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b10000 + 0o45) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(1453 - 1399), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2574 - 2523) + chr(0b101000 + 0o14) + chr(2616 - 2562), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\067' + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1330 - 1278) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\x34' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\065' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\063' + chr(0b1011 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1001001 + 0o46) + '\063' + chr(0b110101) + '\064', 41901 - 41893), ehT0Px3KOsy9('\x30' + chr(4384 - 4273) + '\061' + chr(0b10010 + 0o37) + chr(0b100001 + 0o26), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(49) + chr(54), 62453 - 62445), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1111 + 0o42) + '\x32' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(51) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\x31' + chr(0b1 + 0o57), 33734 - 33726), ehT0Px3KOsy9(chr(0b110000) + chr(11903 - 11792) + '\x33' + chr(53) + chr(0b1 + 0o60), 8), ehT0Px3KOsy9('\060' + '\157' + '\066' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(48) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(48) + chr(2126 - 2074), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(50) + chr(0b110111) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8687 - 8576) + chr(53) + '\x37', 51039 - 51031), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + '\x33' + chr(0b110010 + 0o2) + chr(53), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1001000 + 0o47) + '\065' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x87'), chr(0b1100100) + chr(0b110011 + 0o62) + chr(0b1100011) + '\157' + chr(0b1000111 + 0o35) + '\x65')(chr(0b100100 + 0o121) + chr(116) + chr(0b1100110) + chr(0b11110 + 0o17) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Lz_s7neUzM5V(n4ljua2gi1Pr):
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\x0b\x88\x02F~U\xd3\x9d"\xa1.\xa8AP\x96\\'), chr(100) + chr(0b110001 + 0o64) + chr(2793 - 2694) + chr(111) + chr(2524 - 2424) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + chr(0b10101 + 0o30) + '\070'))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6)\xbd3yJ'), chr(6705 - 6605) + chr(0b1100101) + '\143' + '\x6f' + '\144' + chr(101))(chr(0b10101 + 0o140) + chr(12505 - 12389) + '\146' + '\x2d' + chr(56))), deferred=ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061', ord("\x08")))
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\x0b\x88\x02F~U\xd3\x9d"\xa1.\xa8AP\x96\\'), chr(6840 - 6740) + chr(9861 - 9760) + chr(0b1100011) + chr(111) + chr(0b11100 + 0o110) + chr(101))('\165' + chr(12399 - 12283) + chr(0b1100001 + 0o5) + chr(1844 - 1799) + chr(56)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6)\xbd3yJe\xf6\xb1\x15\x9e$\x88lj\xacm\x95/'), chr(100) + '\145' + chr(0b1011101 + 0o6) + chr(111) + '\x64' + '\x65')('\165' + chr(0b111010 + 0o72) + chr(0b110100 + 0o62) + chr(1662 - 1617) + chr(0b10 + 0o66))), value=xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf1\x90\x04Za}\xcc\x941\x9eH'), chr(410 - 310) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1 + 0o144))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b11011 + 0o22) + '\070')))
s4MGxQMbnqrH = GBPY9HD7XOxV(n4ljua2gi1Pr)
yHmZiM0BSt93 = n4ljua2gi1Pr.Lz_s7neUzM5V
OcnR1hZ7pGdr = yHmZiM0BSt93.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x83'), chr(7938 - 7838) + chr(101) + '\x63' + '\157' + '\144' + '\x65')('\x75' + chr(289 - 173) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))
OcnR1hZ7pGdr = [AIvJRzLdDfgF.strip() for AIvJRzLdDfgF in OcnR1hZ7pGdr if AIvJRzLdDfgF.strip()]
VHn4CV4Ymrei = IDJ2eXGCBCDu.constant(1.0)
for AIvJRzLdDfgF in OcnR1hZ7pGdr:
VHn4CV4Ymrei *= eEh1MPdafG_x(AIvJRzLdDfgF, s4MGxQMbnqrH, n4ljua2gi1Pr)
return VHn4CV4Ymrei
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/learning_rate.py
|
legacy_learning_rate_schedule
|
def legacy_learning_rate_schedule(hparams):
"""Backwards-compatible learning-rate schedule."""
step_num = _global_step(hparams)
warmup_steps = tf.to_float(hparams.learning_rate_warmup_steps)
if hparams.learning_rate_decay_scheme == "noam":
ret = 5000.0 * hparams.hidden_size**-0.5 * tf.minimum(
(step_num + 1) * warmup_steps**-1.5, (step_num + 1)**-0.5)
else:
warmup_steps = hparams.learning_rate_warmup_steps
warmup = _learning_rate_warmup(warmup_steps, hparams=hparams)
decay = _learning_rate_decay(hparams, warmup_steps)
ret = tf.where(step_num < warmup_steps, warmup, decay)
optimizer_correction = 0.002 if "adam" in hparams.optimizer else 1.0
tf.logging.info("Base learning rate: %f", hparams.learning_rate)
return ret * optimizer_correction * hparams.learning_rate
|
python
|
def legacy_learning_rate_schedule(hparams):
"""Backwards-compatible learning-rate schedule."""
step_num = _global_step(hparams)
warmup_steps = tf.to_float(hparams.learning_rate_warmup_steps)
if hparams.learning_rate_decay_scheme == "noam":
ret = 5000.0 * hparams.hidden_size**-0.5 * tf.minimum(
(step_num + 1) * warmup_steps**-1.5, (step_num + 1)**-0.5)
else:
warmup_steps = hparams.learning_rate_warmup_steps
warmup = _learning_rate_warmup(warmup_steps, hparams=hparams)
decay = _learning_rate_decay(hparams, warmup_steps)
ret = tf.where(step_num < warmup_steps, warmup, decay)
optimizer_correction = 0.002 if "adam" in hparams.optimizer else 1.0
tf.logging.info("Base learning rate: %f", hparams.learning_rate)
return ret * optimizer_correction * hparams.learning_rate
|
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] |
Backwards-compatible learning-rate schedule.
|
[
"Backwards",
"-",
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"-",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/learning_rate.py#L88-L102
|
train
|
Backwards - compatible learning - rate schedule.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2162 - 2112) + chr(2006 - 1956) + '\x36', 35999 - 35991), ehT0Px3KOsy9('\060' + chr(0b100111 + 0o110) + chr(0b110011) + '\065' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(5312 - 5201) + chr(0b110010) + chr(0b110111) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\065' + chr(1974 - 1926), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1229 - 1118) + chr(0b100011 + 0o20) + '\066' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(11506 - 11395) + chr(49) + '\066' + chr(0b0 + 0o66), 58907 - 58899), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b11101 + 0o30) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8031 - 7920) + chr(0b10101 + 0o36) + chr(531 - 478) + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b111 + 0o150) + '\x33' + chr(1612 - 1564) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101100 + 0o3) + chr(0b101001 + 0o10) + chr(0b1101 + 0o46) + chr(592 - 543), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b10010 + 0o36) + '\x32', 4651 - 4643), ehT0Px3KOsy9(chr(874 - 826) + chr(11753 - 11642) + '\061' + '\x30' + chr(2180 - 2131), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101101 + 0o5) + chr(52) + chr(1174 - 1125), 953 - 945), ehT0Px3KOsy9(chr(48) + '\157' + '\067' + chr(0b11101 + 0o25), 1027 - 1019), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(3865 - 3754) + chr(55) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101101 + 0o5) + '\063' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b111101 + 0o62) + '\063' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\x34' + '\060', 0o10), ehT0Px3KOsy9(chr(2164 - 2116) + chr(0b1101111) + '\062' + '\066' + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b110011) + chr(0b100010 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(945 - 897) + chr(11785 - 11674) + chr(1439 - 1388) + chr(0b110000) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10000 + 0o41) + chr(0b10100 + 0o42) + chr(1968 - 1914), 8), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1100 + 0o143) + chr(54) + chr(0b100000 + 0o20), 4307 - 4299), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(104 - 49) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\065' + chr(1164 - 1110), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(939 - 884) + chr(55), 46600 - 46592), ehT0Px3KOsy9('\x30' + '\x6f' + '\064' + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8814 - 8703) + chr(0b110011) + chr(0b100101 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(85 - 37) + chr(111) + chr(0b11 + 0o60) + chr(1302 - 1251) + '\x30', 8072 - 8064), ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + chr(0b110010) + chr(0b110 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(1281 - 1233) + chr(111) + '\x31' + chr(0b110001) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x36' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\061' + '\067', 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1111 + 0o140) + chr(0b110010) + chr(402 - 350) + chr(0b11111 + 0o21), 8), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b10101 + 0o41) + chr(931 - 881), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b10 + 0o63) + chr(52), 34374 - 34366), ehT0Px3KOsy9(chr(1440 - 1392) + '\x6f' + chr(49) + chr(0b110001) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(50) + chr(0b100111 + 0o20), 62118 - 62110), ehT0Px3KOsy9(chr(122 - 74) + '\157' + chr(52) + chr(0b110010), 49236 - 49228), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110111) + chr(654 - 604), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\065' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8'), '\x64' + chr(0b11 + 0o142) + chr(99) + '\x6f' + '\x64' + chr(0b101011 + 0o72))(chr(0b1010101 + 0o40) + chr(0b1100011 + 0o21) + chr(0b1100110) + chr(0b101101) + chr(0b10 + 0o66)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def BtZjIfsBs4dS(n4ljua2gi1Pr):
s4MGxQMbnqrH = GBPY9HD7XOxV(n4ljua2gi1Pr)
p2epArE4laJj = IDJ2eXGCBCDu.to_float(n4ljua2gi1Pr.fHyhoyGmdvM9)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd8\xe6\xc6\xbe3\xd3\xa2\xa2,\xe0p'), chr(0b1100100) + '\145' + '\x63' + '\157' + '\144' + '\145')('\x75' + chr(0b1101111 + 0o5) + chr(0b11001 + 0o115) + chr(697 - 652) + '\x38')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x84\xdd\xc5'), '\x64' + '\145' + chr(99) + '\x6f' + '\x64' + '\x65')(chr(10332 - 10215) + chr(116) + chr(2188 - 2086) + '\055' + chr(0b111000)):
VHn4CV4Ymrei = 5000.0 * n4ljua2gi1Pr.qzoyXN3kdhDL ** (-0.5) * IDJ2eXGCBCDu.minimum((s4MGxQMbnqrH + ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(659 - 610), 0o10)) * p2epArE4laJj ** (-1.5), (s4MGxQMbnqrH + ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + chr(1357 - 1308), 8)) ** (-0.5))
else:
p2epArE4laJj = n4ljua2gi1Pr.fHyhoyGmdvM9
MSPsFj9ZRl2M = pOqr8QQgnTGt(p2epArE4laJj, hparams=n4ljua2gi1Pr)
eeyC5_0F9WOf = teSMijFXA7g0(n4ljua2gi1Pr, p2epArE4laJj)
VHn4CV4Ymrei = IDJ2eXGCBCDu.dRFAC59yQBm_(s4MGxQMbnqrH < p2epArE4laJj, MSPsFj9ZRl2M, eeyC5_0F9WOf)
gs0ZhN2zedXq = 0.002 if xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x8f\xdd\xc5'), '\x64' + chr(7739 - 7638) + '\x63' + chr(432 - 321) + chr(0b100111 + 0o75) + '\145')('\x75' + chr(0b11101 + 0o127) + '\146' + '\x2d' + '\x38') in n4ljua2gi1Pr.XdKNcYRObPK3 else 1.0
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xdc\xf4\xd0\x81\x15\x8d\xdd\xac5\xd8*'), '\x64' + chr(101) + '\x63' + '\x6f' + chr(100) + chr(0b10010 + 0o123))(chr(117) + '\164' + chr(3447 - 3345) + chr(0b101101) + chr(0b100101 + 0o23)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\x8a\xcf\xcd\xd4\x1a\x8f\x8b\xb47\xeb/\xc6\x1aN\xffn\xc5\x89\xbb\xe7\x10'), chr(503 - 403) + chr(0b111 + 0o136) + '\x63' + chr(0b110000 + 0o77) + '\x64' + '\145')(chr(0b1110101) + chr(116) + '\x66' + '\055' + chr(56)), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xac\xef\xe1\x84\x12\xb5\x93\x93\x17\xf8\x14'), chr(0b101111 + 0o65) + chr(0b1001 + 0o134) + chr(99) + '\157' + chr(3908 - 3808) + chr(5957 - 5856))(chr(6221 - 6104) + '\164' + '\146' + chr(0b100011 + 0o12) + chr(0b111000))))
return VHn4CV4Ymrei * gs0ZhN2zedXq * xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xac\xef\xe1\x84\x12\xb5\x93\x93\x17\xf8\x14'), chr(0b110100 + 0o60) + '\x65' + '\143' + chr(0b11110 + 0o121) + chr(7123 - 7023) + chr(101))(chr(0b1001110 + 0o47) + '\x74' + chr(102) + chr(0b1000 + 0o45) + '\070'))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/learning_rate.py
|
_global_step
|
def _global_step(hparams):
"""Adjust global step if a multi-step optimizer is used."""
step = tf.to_float(tf.train.get_or_create_global_step())
multiplier = hparams.optimizer_multistep_accumulate_steps
if not multiplier:
return step
tf.logging.info("Dividing global step by %d for multi-step optimizer."
% multiplier)
return step / tf.to_float(multiplier)
|
python
|
def _global_step(hparams):
"""Adjust global step if a multi-step optimizer is used."""
step = tf.to_float(tf.train.get_or_create_global_step())
multiplier = hparams.optimizer_multistep_accumulate_steps
if not multiplier:
return step
tf.logging.info("Dividing global step by %d for multi-step optimizer."
% multiplier)
return step / tf.to_float(multiplier)
|
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Adjust global step if a multi-step optimizer is used.
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[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/learning_rate.py#L105-L114
|
train
|
Adjust global step if a multi - step optimizer is used.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\064' + chr(0b101010 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(1742 - 1694) + '\x6f' + '\x33' + '\067' + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\060' + chr(0b10001 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(11861 - 11750) + chr(0b110011) + chr(0b11100 + 0o26) + chr(0b110011 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(50) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(411 - 362) + chr(0b10011 + 0o40) + chr(0b10001 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2391 - 2340) + '\x32', 7017 - 7009), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + '\061' + '\x36' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(3382 - 3271) + chr(51) + chr(1182 - 1129) + chr(55), 0o10), ehT0Px3KOsy9(chr(1986 - 1938) + '\x6f' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b110101) + chr(0b10011 + 0o37), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(363 - 313) + '\x30' + chr(2063 - 2010), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(52) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1662 - 1614) + chr(1285 - 1174) + chr(159 - 108) + '\x35' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(5795 - 5684) + chr(437 - 387) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b1 + 0o57) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(55) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(2025 - 1974) + '\x34' + chr(757 - 707), 50165 - 50157), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\x36' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10591 - 10480) + '\x33' + chr(1264 - 1215) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + '\062' + chr(2316 - 2262) + chr(1521 - 1468), 59891 - 59883), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(52) + '\063', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\060' + chr(0b1 + 0o64), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\x36' + chr(0b110111), 18913 - 18905), ehT0Px3KOsy9('\x30' + chr(10277 - 10166) + chr(2160 - 2109) + '\x34' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1782 - 1731) + '\065' + chr(581 - 531), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\065' + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b1101 + 0o43) + chr(0b101010 + 0o7), 1214 - 1206), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1552 - 1502) + chr(0b0 + 0o62) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1074 - 1026) + '\157' + chr(55) + chr(53), 37925 - 37917), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + '\x32' + chr(645 - 594) + chr(0b110100), 21418 - 21410), ehT0Px3KOsy9(chr(2272 - 2224) + chr(111) + chr(0b10 + 0o57) + chr(1258 - 1203) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\067' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(0b100111 + 0o13) + '\x33' + chr(2654 - 2599), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001100 + 0o43) + chr(0b110110) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(554 - 505) + chr(0b11100 + 0o31) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(54) + chr(0b10111 + 0o33), 0b1000), ehT0Px3KOsy9('\060' + chr(10786 - 10675) + chr(0b110011) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(54) + chr(129 - 74), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(9970 - 9859) + chr(53) + chr(0b1001 + 0o47), 40964 - 40956)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a'), '\144' + '\x65' + chr(0b1100011) + chr(12013 - 11902) + chr(5322 - 5222) + '\x65')('\x75' + chr(0b1110100) + chr(0b11011 + 0o113) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GBPY9HD7XOxV(n4ljua2gi1Pr):
kDuFsAhEatcU = IDJ2eXGCBCDu.to_float(IDJ2eXGCBCDu.train.get_or_create_global_step())
S0Mp0SOoXply = n4ljua2gi1Pr.optimizer_multistep_accumulate_steps
if not S0Mp0SOoXply:
return kDuFsAhEatcU
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b"\xf7\xc8\xcb\xab'9}F\x85m\xf0\xee"), '\x64' + chr(101) + '\x63' + chr(5978 - 5867) + chr(223 - 123) + chr(0b1100101))('\165' + '\x74' + chr(102) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b"\xe0\x96\xf5\xba63t\x16\xcff\xc6\xeaA\x89{\xa0\xca\x96\xd1\xbc\x95A\xbc\xd7\xc0\x8e\r'\xfaO\xbc\x12\xca\xf3@\x03!AjR\xd4\xdf\xec\xa3&3w\x18\x95d\xd8\xab"), '\x64' + chr(9775 - 9674) + chr(99) + chr(0b110010 + 0o75) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(102) + chr(1719 - 1674) + chr(0b10111 + 0o41)) % S0Mp0SOoXply)
return kDuFsAhEatcU / xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\x90\xdc\xb5>5{\x05'), chr(7972 - 7872) + chr(101) + chr(99) + chr(0b1011001 + 0o26) + chr(7519 - 7419) + chr(7690 - 7589))(chr(0b100111 + 0o116) + '\164' + chr(0b1100110) + '\055' + '\x38'))(S0Mp0SOoXply)
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/learning_rate.py
|
_piecewise_learning_rate
|
def _piecewise_learning_rate(step, boundaries, values):
"""Scale learning rate according to the given schedule.
Multipliers are not cumulative.
Args:
step: global step
boundaries: List of steps to transition on.
values: Multiplier to apply at each boundary transition.
Returns:
Scaled value for the learning rate.
"""
values = [1.0] + values
boundaries = [float(x) for x in boundaries]
return tf.train.piecewise_constant(
step, boundaries, values, name="piecewise_lr")
|
python
|
def _piecewise_learning_rate(step, boundaries, values):
"""Scale learning rate according to the given schedule.
Multipliers are not cumulative.
Args:
step: global step
boundaries: List of steps to transition on.
values: Multiplier to apply at each boundary transition.
Returns:
Scaled value for the learning rate.
"""
values = [1.0] + values
boundaries = [float(x) for x in boundaries]
return tf.train.piecewise_constant(
step, boundaries, values, name="piecewise_lr")
|
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Scale learning rate according to the given schedule.
Multipliers are not cumulative.
Args:
step: global step
boundaries: List of steps to transition on.
values: Multiplier to apply at each boundary transition.
Returns:
Scaled value for the learning rate.
|
[
"Scale",
"learning",
"rate",
"according",
"to",
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"schedule",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/learning_rate.py#L122-L138
|
train
|
Scale learning rate according to the given schedule.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(380 - 331) + '\x30' + chr(1075 - 1023), 61086 - 61078), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101001 + 0o11) + chr(0b11010 + 0o31) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11100 + 0o25) + '\066' + chr(755 - 706), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1590 - 1540) + '\x35' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + '\x33' + '\067' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9032 - 8921) + chr(50) + '\064' + chr(0b100001 + 0o20), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110110) + '\x33', 47013 - 47005), ehT0Px3KOsy9(chr(48) + chr(8832 - 8721) + chr(50) + '\063' + chr(1241 - 1190), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110) + chr(0b101 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + '\x33' + chr(0b110011) + chr(0b110110), 51645 - 51637), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b111 + 0o52) + chr(0b1100 + 0o46) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1343 - 1295) + chr(0b1101111) + '\064' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(266 - 217) + chr(1351 - 1296) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11464 - 11353) + chr(0b110010) + '\065' + '\063', 36817 - 36809), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(55) + chr(1145 - 1090), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b110010) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(2069 - 2021) + chr(0b1101111) + '\061' + chr(0b100111 + 0o17) + chr(1719 - 1670), 8), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + chr(0b110001) + '\066' + '\065', 4902 - 4894), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(8223 - 8112) + '\x32' + chr(0b11010 + 0o35) + chr(0b1011 + 0o45), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b111 + 0o56) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\062' + chr(1507 - 1458), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(11744 - 11633) + '\063' + chr(51) + '\x30', 28088 - 28080), ehT0Px3KOsy9(chr(48) + chr(11457 - 11346) + chr(49) + chr(0b11001 + 0o35) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(0b11101 + 0o24) + '\062' + chr(0b110011), 44617 - 44609), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\x31' + chr(49), 13706 - 13698), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(149 - 99) + '\060' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011101 + 0o22) + chr(0b110011) + '\062' + chr(49), 63934 - 63926), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(0b110001) + chr(52) + '\x30', 3153 - 3145), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\x31' + chr(54), 13764 - 13756), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(0b110010) + chr(52) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(1888 - 1833) + chr(1571 - 1521), 35607 - 35599), ehT0Px3KOsy9(chr(906 - 858) + chr(111) + chr(50) + '\063' + chr(0b101100 + 0o5), 0o10), ehT0Px3KOsy9(chr(48) + chr(1303 - 1192) + chr(0b110010) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1110 + 0o43) + chr(802 - 751) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + chr(0b110010) + '\064' + chr(1054 - 1003), 57178 - 57170), ehT0Px3KOsy9(chr(804 - 756) + chr(11952 - 11841) + chr(49) + chr(48) + chr(2027 - 1972), 0b1000), ehT0Px3KOsy9(chr(48) + chr(11656 - 11545) + chr(49) + chr(0b110010) + '\x32', 8), ehT0Px3KOsy9(chr(1010 - 962) + chr(0b111010 + 0o65) + chr(0b10 + 0o61) + chr(0b110011) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b1111 + 0o43), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(4467 - 4356) + chr(0b110101) + chr(48), 42008 - 42000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'6'), chr(0b1010110 + 0o16) + chr(0b1111 + 0o126) + '\x63' + chr(0b100100 + 0o113) + '\x64' + chr(101))(chr(9473 - 9356) + chr(116) + chr(0b1100110) + '\055' + chr(0b101 + 0o63)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WRYqXTn2Wj7b(kDuFsAhEatcU, n7rrZRZYkBNq, SPnCNu54H1db):
SPnCNu54H1db = [1.0] + SPnCNu54H1db
n7rrZRZYkBNq = [kkSX4ccExqw4(OeWW0F1dBPRQ) for OeWW0F1dBPRQ in n7rrZRZYkBNq]
return xafqLlk3kkUe(IDJ2eXGCBCDu.train, xafqLlk3kkUe(SXOLrMavuUCe(b'h-\xfe\x12\xcb\x8d\xc8@\xfeh\xbd=K\x0b\xdf\x9e\xfd\x05'), chr(0b1100100) + '\x65' + chr(0b101100 + 0o67) + chr(0b11010 + 0o125) + '\x64' + chr(5299 - 5198))('\x75' + chr(6267 - 6151) + '\x66' + '\055' + '\070'))(kDuFsAhEatcU, n7rrZRZYkBNq, SPnCNu54H1db, name=xafqLlk3kkUe(SXOLrMavuUCe(b'h-\xfe\x12\xcb\x8d\xc8@\xfeh\xb2 '), chr(0b1100100) + chr(3858 - 3757) + chr(6143 - 6044) + chr(0b1101111) + chr(0b10100 + 0o120) + chr(0b1100101))(chr(0b111111 + 0o66) + chr(0b101100 + 0o110) + '\x66' + chr(45) + chr(0b111000)))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/learning_rate.py
|
_learning_rate_decay
|
def _learning_rate_decay(hparams, warmup_steps=0):
"""Learning rate decay multiplier."""
scheme = hparams.learning_rate_decay_scheme
warmup_steps = tf.to_float(warmup_steps)
global_step = _global_step(hparams)
if not scheme or scheme == "none":
return tf.constant(1.)
tf.logging.info("Applying learning rate decay: %s.", scheme)
if scheme == "exp":
decay_steps = hparams.learning_rate_decay_steps
p = (global_step - warmup_steps) / decay_steps
if hparams.learning_rate_decay_staircase:
p = tf.floor(p)
return tf.pow(hparams.learning_rate_decay_rate, p)
if scheme == "piecewise":
return _piecewise_learning_rate(global_step,
hparams.learning_rate_boundaries,
hparams.learning_rate_multiples)
if scheme == "cosine":
cycle_steps = hparams.learning_rate_cosine_cycle_steps
cycle_position = global_step % (2 * cycle_steps)
cycle_position = cycle_steps - tf.abs(cycle_steps - cycle_position)
return 0.5 * (1 + tf.cos(np.pi * cycle_position / cycle_steps))
if scheme == "cyclelinear10x":
# Cycle the rate linearly by 10x every warmup_steps, up and down.
cycle_steps = warmup_steps
cycle_position = global_step % (2 * cycle_steps)
cycle_position = tf.to_float( # Normalize to the interval [-1, 1].
cycle_position - cycle_steps) / float(cycle_steps)
cycle_position = 1.0 - tf.abs(cycle_position) # 0 to 1 and back to 0.
return (cycle_position + 0.1) * 3.0 # 10x difference each cycle (0.3-3).
if scheme == "sqrt":
return _legacy_sqrt_decay(global_step - warmup_steps)
raise ValueError("Unrecognized learning rate decay scheme: %s" %
hparams.learning_rate_decay_scheme)
|
python
|
def _learning_rate_decay(hparams, warmup_steps=0):
"""Learning rate decay multiplier."""
scheme = hparams.learning_rate_decay_scheme
warmup_steps = tf.to_float(warmup_steps)
global_step = _global_step(hparams)
if not scheme or scheme == "none":
return tf.constant(1.)
tf.logging.info("Applying learning rate decay: %s.", scheme)
if scheme == "exp":
decay_steps = hparams.learning_rate_decay_steps
p = (global_step - warmup_steps) / decay_steps
if hparams.learning_rate_decay_staircase:
p = tf.floor(p)
return tf.pow(hparams.learning_rate_decay_rate, p)
if scheme == "piecewise":
return _piecewise_learning_rate(global_step,
hparams.learning_rate_boundaries,
hparams.learning_rate_multiples)
if scheme == "cosine":
cycle_steps = hparams.learning_rate_cosine_cycle_steps
cycle_position = global_step % (2 * cycle_steps)
cycle_position = cycle_steps - tf.abs(cycle_steps - cycle_position)
return 0.5 * (1 + tf.cos(np.pi * cycle_position / cycle_steps))
if scheme == "cyclelinear10x":
# Cycle the rate linearly by 10x every warmup_steps, up and down.
cycle_steps = warmup_steps
cycle_position = global_step % (2 * cycle_steps)
cycle_position = tf.to_float( # Normalize to the interval [-1, 1].
cycle_position - cycle_steps) / float(cycle_steps)
cycle_position = 1.0 - tf.abs(cycle_position) # 0 to 1 and back to 0.
return (cycle_position + 0.1) * 3.0 # 10x difference each cycle (0.3-3).
if scheme == "sqrt":
return _legacy_sqrt_decay(global_step - warmup_steps)
raise ValueError("Unrecognized learning rate decay scheme: %s" %
hparams.learning_rate_decay_scheme)
|
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] |
Learning rate decay multiplier.
|
[
"Learning",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/learning_rate.py#L141-L183
|
train
|
Learning rate decay 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(chr(362 - 314) + chr(3049 - 2938) + chr(0b110010) + '\063' + chr(1529 - 1479), 0o10), ehT0Px3KOsy9(chr(184 - 136) + '\x6f' + chr(50) + chr(378 - 326) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(395 - 347) + '\x6f' + chr(0b110011) + '\x32' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(2112 - 2058) + '\x33', 1054 - 1046), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(166 - 111) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1281 - 1231) + chr(0b10 + 0o62) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10219 - 10108) + chr(0b110011) + chr(1535 - 1484) + chr(647 - 593), 39045 - 39037), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1444 - 1389) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001111 + 0o40) + chr(0b110001) + chr(1407 - 1352) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(3853 - 3742) + '\062' + '\061' + chr(0b100000 + 0o20), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(7693 - 7582) + '\061' + chr(0b110100) + '\060', 42792 - 42784), ehT0Px3KOsy9(chr(1927 - 1879) + chr(0b101111 + 0o100) + chr(268 - 218) + chr(764 - 714) + '\x34', 0o10), ehT0Px3KOsy9(chr(1237 - 1189) + chr(0b1011011 + 0o24) + chr(823 - 774) + chr(0b110001) + chr(0b11100 + 0o25), 56665 - 56657), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b110101) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\x33' + chr(0b110111) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x36' + chr(0b10111 + 0o37), 0o10), ehT0Px3KOsy9(chr(2104 - 2056) + '\x6f' + chr(0b101100 + 0o5), 29780 - 29772), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(0b110100) + chr(1037 - 988), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + chr(2490 - 2440) + chr(0b11011 + 0o26) + '\064', 31787 - 31779), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(6512 - 6401) + chr(0b110011) + chr(0b101 + 0o62) + chr(0b1101 + 0o44), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\064' + chr(1997 - 1945), 8), ehT0Px3KOsy9(chr(492 - 444) + chr(0b1011010 + 0o25) + chr(49) + chr(0b110111) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\062' + '\060' + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(1015 - 967) + chr(0b110100), 58679 - 58671), ehT0Px3KOsy9(chr(48) + chr(2304 - 2193) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b111 + 0o150) + chr(0b11011 + 0o26) + chr(0b110010) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b100 + 0o63) + '\064', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x30' + '\065', 51256 - 51248), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(123 - 73) + '\060' + chr(0b11111 + 0o25), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5450 - 5339) + chr(49) + chr(0b101 + 0o61) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2167 - 2118) + '\060' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(466 - 416) + chr(155 - 107) + '\061', 8), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(0b101111 + 0o4) + '\x30' + chr(1224 - 1169), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(10570 - 10459) + chr(49) + '\x35' + chr(1948 - 1899), 0b1000), ehT0Px3KOsy9(chr(394 - 346) + chr(111) + '\x34' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10001 + 0o40) + '\x30' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + '\x31' + chr(0b110110) + '\060', 43195 - 43187), ehT0Px3KOsy9(chr(1629 - 1581) + chr(111) + chr(2096 - 2041) + chr(683 - 628), 0b1000), ehT0Px3KOsy9(chr(1209 - 1161) + '\157' + chr(2005 - 1956) + '\066' + chr(2153 - 2098), 17460 - 17452)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4'), '\x64' + chr(0b1100101) + '\143' + chr(0b101111 + 0o100) + chr(0b1100100) + '\145')(chr(117) + chr(0b1110100) + chr(102) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def teSMijFXA7g0(n4ljua2gi1Pr, p2epArE4laJj=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(48), 35393 - 35385)):
nh0h0JN0W0q6 = n4ljua2gi1Pr.v3ZnJE9Hdub1
p2epArE4laJj = IDJ2eXGCBCDu.to_float(p2epArE4laJj)
tnqEWmPx71Oj = GBPY9HD7XOxV(n4ljua2gi1Pr)
if not nh0h0JN0W0q6 or nh0h0JN0W0q6 == xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xcb\xbfV'), chr(8754 - 8654) + chr(0b1100101) + '\x63' + chr(111) + '\x64' + chr(6099 - 5998))(chr(3611 - 3494) + '\164' + chr(102) + chr(45) + chr(956 - 900)):
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\xcb\xbf@bX\xcf\xaa'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b11001 + 0o126) + '\x64' + chr(0b1100101))('\165' + '\164' + chr(0b1100110) + chr(0b11100 + 0o21) + chr(0b111000)))(1.0)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\x93\x99KcZ\xc6\xe9Q\x14\xd2\x0b'), '\x64' + chr(2744 - 2643) + chr(0b1011111 + 0o4) + chr(111) + chr(0b100110 + 0o76) + chr(0b1010 + 0o133))(chr(117) + chr(116) + chr(0b11100 + 0o112) + chr(0b11001 + 0o24) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b"\xdb\xd4\xa1_oP\xcf\xb9\x1b\x14\xed\x01\xe6'\xc7\x91\x11!S\xed\x8d\xc1\\\xe5!g6\x05\xff\xa4V6\xaf"), '\144' + chr(4740 - 4639) + '\143' + chr(0b110111 + 0o70) + chr(2613 - 2513) + chr(101))(chr(0b1110101) + '\164' + chr(4944 - 4842) + chr(45) + chr(2165 - 2109)), nh0h0JN0W0q6)
if nh0h0JN0W0q6 == xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xdc\xa1'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(188 - 87))(chr(117) + '\x74' + chr(8226 - 8124) + chr(0b1100 + 0o41) + chr(0b10011 + 0o45)):
IyD5QShhvvmp = n4ljua2gi1Pr.YBAB1XyoxOc5
UyakMW2IMFEj = (tnqEWmPx71Oj - p2epArE4laJj) / IyD5QShhvvmp
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xc1\xb0AxP\xcf\xb9d\n\xe9\x14\xf1\x16\xca\x9a\x15`X\xd3\x8a\xd0\x1d\xe86g6\x0f\xa0'), chr(879 - 779) + chr(0b111011 + 0o52) + chr(99) + '\x6f' + '\144' + chr(101))('\x75' + chr(116) + chr(102) + '\055' + '\070')):
UyakMW2IMFEj = IDJ2eXGCBCDu.floor(UyakMW2IMFEj)
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xcb\xa6'), chr(0b1100100) + chr(0b1011011 + 0o12) + '\x63' + chr(111) + chr(100) + '\x65')(chr(0b1110101) + '\164' + '\146' + chr(0b10110 + 0o27) + '\x38'))(xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xc1\xb0AxP\xcf\xb9d\n\xe9\x14\xf1\x16\xca\x9a\x15`X\xd3\x8b\xc5\x08\xe4'), '\x64' + chr(10155 - 10054) + chr(2015 - 1916) + chr(0b1101111) + '\x64' + chr(101))(chr(117) + '\x74' + chr(0b1000111 + 0o37) + '\x2d' + chr(1764 - 1708))), UyakMW2IMFEj)
if nh0h0JN0W0q6 == xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xcd\xb4PsN\xc8\xad^'), chr(0b1100100) + chr(0b1100101) + chr(0b10011 + 0o120) + chr(0b110 + 0o151) + chr(0b1100100) + chr(0b1000001 + 0o44))(chr(793 - 676) + chr(0b10001 + 0o143) + chr(0b1100110) + chr(0b11010 + 0o23) + chr(56)):
return WRYqXTn2Wj7b(tnqEWmPx71Oj, xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xc1\xb0AxP\xcf\xb9d\n\xe9\x14\xf1\x16\xcc\x90\x03oE\xed\x8b\xcd\x19\xf2'), chr(0b1100100) + chr(0b1100101) + chr(1860 - 1761) + '\157' + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b11111 + 0o107) + chr(0b101101) + chr(2798 - 2742))), xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xc1\xb0AxP\xcf\xb9d\n\xe9\x14\xf1\x16\xc3\x8a\x1auH\xfc\x95\xc1\x0f'), '\x64' + chr(0b1100101) + '\143' + '\x6f' + chr(100) + chr(0b1011111 + 0o6))('\165' + '\164' + chr(0b1100110) + chr(0b10110 + 0o27) + chr(56))))
if nh0h0JN0W0q6 == xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\xcb\xa2Zx\\'), '\x64' + chr(0b1100101) + chr(0b10001 + 0o122) + '\x6f' + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b0 + 0o164) + chr(0b10101 + 0o121) + chr(1457 - 1412) + chr(2245 - 2189)):
F20AcumCJ62k = n4ljua2gi1Pr.Wnk8oTekUy10
FzLr1Ejd8K8N = tnqEWmPx71Oj % (ehT0Px3KOsy9(chr(1823 - 1775) + chr(0b1101111) + '\x32', 0b1000) * F20AcumCJ62k)
FzLr1Ejd8K8N = F20AcumCJ62k - IDJ2eXGCBCDu.abs(F20AcumCJ62k - FzLr1Ejd8K8N)
return 0.5 * (ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061', 8) + xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\xcb\xa2'), chr(0b1100100) + chr(0b10010 + 0o123) + chr(0b1000 + 0o133) + chr(0b1000101 + 0o52) + chr(100) + chr(0b1100101))(chr(5647 - 5530) + '\x74' + chr(8509 - 8407) + chr(657 - 612) + chr(0b10001 + 0o47)))(xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xcd'), chr(0b1100100) + '\145' + chr(0b1011010 + 0o11) + chr(111) + '\x64' + chr(5683 - 5582))(chr(0b1110101) + chr(0b1110100) + chr(936 - 834) + '\x2d' + '\070')) * FzLr1Ejd8K8N / F20AcumCJ62k))
if nh0h0JN0W0q6 == xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\xdd\xb2_sU\xc8\xb0^\x19\xfaQ\xa41'), chr(100) + chr(101) + '\x63' + '\x6f' + '\x64' + '\x65')(chr(117) + chr(0b110011 + 0o101) + chr(102) + chr(576 - 531) + chr(56)):
F20AcumCJ62k = p2epArE4laJj
FzLr1Ejd8K8N = tnqEWmPx71Oj % (ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(50), 8) * F20AcumCJ62k)
FzLr1Ejd8K8N = IDJ2eXGCBCDu.to_float(FzLr1Ejd8K8N - F20AcumCJ62k) / kkSX4ccExqw4(F20AcumCJ62k)
FzLr1Ejd8K8N = 1.0 - IDJ2eXGCBCDu.abs(FzLr1Ejd8K8N)
return (FzLr1Ejd8K8N + 0.1) * 3.0
if nh0h0JN0W0q6 == xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xd5\xa3G'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1101111) + '\144' + '\145')(chr(117) + chr(116) + chr(102) + chr(45) + chr(0b111000)):
return BAFpDOMFXmDv(tnqEWmPx71Oj - p2epArE4laJj)
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\xca\xa3VuV\xc6\xb0R\x02\xed\x04\xb4%\xcb\x9e\x04oH\xe2\x9e\x84\x0e\xe00aw\x18\xa0\xe7\x12<\xa1\xb4\nH&\x1dZM\xba\x81\xa2'), '\144' + '\145' + chr(0b11101 + 0o106) + '\157' + chr(1917 - 1817) + '\145')(chr(12500 - 12383) + chr(116) + chr(0b1100110) + '\055' + chr(405 - 349)) % xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\x97\x8b]\\|\x98\x96_\r\xeaQ'), chr(100) + '\145' + chr(8590 - 8491) + chr(0b1101111) + chr(0b111000 + 0o54) + '\x65')(chr(0b1100000 + 0o25) + '\x74' + chr(102) + chr(0b11010 + 0o23) + chr(517 - 461))))
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tensorflow/tensor2tensor
|
tensor2tensor/utils/learning_rate.py
|
_learning_rate_warmup
|
def _learning_rate_warmup(warmup_steps, warmup_schedule="exp", hparams=None):
"""Learning rate warmup multiplier."""
if not warmup_steps:
return tf.constant(1.)
tf.logging.info("Applying %s learning rate warmup for %d steps",
warmup_schedule, warmup_steps)
warmup_steps = tf.to_float(warmup_steps)
global_step = _global_step(hparams)
if warmup_schedule == "exp":
return tf.exp(tf.log(0.01) / warmup_steps)**(warmup_steps - global_step)
else:
assert warmup_schedule == "linear"
start = tf.constant(0.35)
return ((tf.constant(1.) - start) / warmup_steps) * global_step + start
|
python
|
def _learning_rate_warmup(warmup_steps, warmup_schedule="exp", hparams=None):
"""Learning rate warmup multiplier."""
if not warmup_steps:
return tf.constant(1.)
tf.logging.info("Applying %s learning rate warmup for %d steps",
warmup_schedule, warmup_steps)
warmup_steps = tf.to_float(warmup_steps)
global_step = _global_step(hparams)
if warmup_schedule == "exp":
return tf.exp(tf.log(0.01) / warmup_steps)**(warmup_steps - global_step)
else:
assert warmup_schedule == "linear"
start = tf.constant(0.35)
return ((tf.constant(1.) - start) / warmup_steps) * global_step + start
|
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"/",
"warmup_steps",
")",
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"global_step",
"+",
"start"
] |
Learning rate warmup multiplier.
|
[
"Learning",
"rate",
"warmup",
"multiplier",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/learning_rate.py#L186-L202
|
train
|
Learning rate warmup 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(chr(0b1011 + 0o45) + '\x6f' + '\x32' + '\x34' + chr(177 - 129), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(1773 - 1725) + '\x37', 0o10), ehT0Px3KOsy9(chr(290 - 242) + chr(5168 - 5057) + chr(0b110001) + chr(1633 - 1578) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\x33' + '\x36' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(48) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\066' + chr(252 - 199), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(54) + chr(54), 0o10), ehT0Px3KOsy9(chr(248 - 200) + '\x6f' + chr(1063 - 1013) + chr(0b110101) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(394 - 344) + chr(0b110000 + 0o3) + chr(0b110010), 10291 - 10283), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(1407 - 1353) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110110) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(459 - 411) + chr(7236 - 7125) + '\063' + chr(2308 - 2257) + chr(0b11 + 0o61), 0o10), ehT0Px3KOsy9(chr(1263 - 1215) + chr(0b1101111) + chr(54) + chr(0b1010 + 0o51), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1426 - 1376) + chr(0b110001) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(54) + chr(54), 22822 - 22814), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\066' + chr(48), 19124 - 19116), ehT0Px3KOsy9('\x30' + chr(5831 - 5720) + '\x37' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + '\061' + chr(1339 - 1288) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(635 - 582) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10011 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + '\x33' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(195 - 144) + chr(53) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b110001 + 0o4) + chr(2308 - 2256), 43472 - 43464), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(1766 - 1716) + chr(2133 - 2078) + chr(0b11101 + 0o25), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(730 - 677) + chr(1085 - 1036), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b101010 + 0o13) + chr(2788 - 2734), 12314 - 12306), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(9532 - 9421) + chr(814 - 764) + '\x33' + chr(0b110110 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001 + 0o2) + chr(0b101110 + 0o2), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\065' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1874 - 1823) + '\061' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + '\063' + chr(49) + chr(2219 - 2165), 0b1000), ehT0Px3KOsy9('\060' + chr(10744 - 10633) + chr(51) + chr(1118 - 1063), ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(0b110010) + chr(995 - 945) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\x32' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(7387 - 7276) + '\063' + chr(0b110000) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\x35' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(0b1011 + 0o47) + '\063' + chr(89 - 37), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(5920 - 5809) + chr(0b110101) + chr(531 - 483), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e'), '\x64' + '\145' + chr(0b100001 + 0o102) + chr(111) + chr(0b1000000 + 0o44) + '\x65')(chr(5686 - 5569) + chr(0b10001 + 0o143) + chr(0b1100110) + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def pOqr8QQgnTGt(p2epArE4laJj, Y_RcEFxgsRzb=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xff\r'), chr(100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1000010 + 0o42) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b100111 + 0o6) + chr(0b11100 + 0o34)), n4ljua2gi1Pr=None):
if not p2epArE4laJj:
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\xe8\x13\x82\xb3\x14\x98\xdc'), chr(7974 - 7874) + '\145' + chr(99) + chr(111) + chr(8522 - 8422) + chr(6853 - 6752))(chr(2467 - 2350) + '\164' + chr(0b110111 + 0o57) + '\055' + chr(0b111000)))(1.0)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xb05\x89\xb2\x16\x91\x9f\xf0\x9ei\xb7'), chr(0b1100100) + chr(0b1000000 + 0o45) + chr(4453 - 4354) + chr(0b1101001 + 0o6) + chr(100) + '\x65')('\x75' + chr(5724 - 5608) + chr(7965 - 7863) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xf7\r\x9d\xbe\x1c\x98\xcf\xba\xd7@\xfc_\xe9\x17\x82P6LN!k\x8b~\t\x9a\xde\x0f\xedun\x1a\xed\xa8p\xe4\xf2\xe5\xce\xbc\xd3\xf3\x18\x81\xb4'), chr(0b110100 + 0o60) + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1001 + 0o133) + chr(0b1100101))('\165' + '\164' + '\x66' + '\055' + '\x38'), Y_RcEFxgsRzb, p2epArE4laJj)
p2epArE4laJj = IDJ2eXGCBCDu.to_float(p2epArE4laJj)
tnqEWmPx71Oj = GBPY9HD7XOxV(n4ljua2gi1Pr)
if Y_RcEFxgsRzb == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xff\r'), '\144' + chr(101) + chr(6983 - 6884) + '\x6f' + chr(0b101010 + 0o72) + chr(0b1100101))(chr(7292 - 7175) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(1842 - 1786)):
return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xff\r'), chr(100) + chr(0b1100101) + '\143' + chr(2362 - 2251) + chr(0b1100100) + chr(0b10001 + 0o124))('\x75' + chr(0b1110100) + '\x66' + chr(45) + chr(0b111000)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xe8\x1a'), chr(100) + '\x65' + '\x63' + chr(111) + chr(2984 - 2884) + chr(5973 - 5872))(chr(0b1010100 + 0o41) + '\x74' + '\x66' + '\x2d' + '\x38'))(0.01) / p2epArE4laJj) ** (p2epArE4laJj - tnqEWmPx71Oj)
else:
assert Y_RcEFxgsRzb == xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\xee\x13\x94\xa6\x07'), '\144' + chr(2738 - 2637) + '\x63' + chr(0b1101111) + chr(0b1100100) + '\145')('\x75' + chr(0b1111 + 0o145) + '\x66' + '\x2d' + chr(0b11001 + 0o37))
avRbFsnfJxQj = IDJ2eXGCBCDu.constant(0.35)
return (xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\xe8\x13\x82\xb3\x14\x98\xdc'), chr(100) + chr(4782 - 4681) + chr(1561 - 1462) + '\x6f' + chr(0b1100100) + chr(2601 - 2500))(chr(0b111000 + 0o75) + chr(116) + chr(6187 - 6085) + chr(45) + '\070'))(1.0) - avRbFsnfJxQj) / p2epArE4laJj * tnqEWmPx71Oj + avRbFsnfJxQj
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic_math.py
|
is_in_expr
|
def is_in_expr(expr, find):
"""Returns True if `find` is a subtree of `expr`."""
return expr == find or (isinstance(expr, ExprNode) and expr.is_in(find))
|
python
|
def is_in_expr(expr, find):
"""Returns True if `find` is a subtree of `expr`."""
return expr == find or (isinstance(expr, ExprNode) and expr.is_in(find))
|
[
"def",
"is_in_expr",
"(",
"expr",
",",
"find",
")",
":",
"return",
"expr",
"==",
"find",
"or",
"(",
"isinstance",
"(",
"expr",
",",
"ExprNode",
")",
"and",
"expr",
".",
"is_in",
"(",
"find",
")",
")"
] |
Returns True if `find` is a subtree of `expr`.
|
[
"Returns",
"True",
"if",
"find",
"is",
"a",
"subtree",
"of",
"expr",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic_math.py#L90-L92
|
train
|
Returns True if expr is a subtree of find.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(795 - 747) + chr(0b1101111) + chr(50) + '\062' + chr(1027 - 975), ord("\x08")), ehT0Px3KOsy9(chr(521 - 473) + chr(0b1101111) + chr(0b110001) + chr(418 - 365) + chr(0b100100 + 0o15), 24502 - 24494), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10010 + 0o40) + chr(0b110011) + chr(0b11001 + 0o33), 0o10), ehT0Px3KOsy9(chr(2086 - 2038) + '\x6f' + chr(50) + chr(1851 - 1800), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001000 + 0o47) + chr(0b11010 + 0o31) + '\063' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\x35' + chr(108 - 58), 0o10), ehT0Px3KOsy9('\x30' + chr(12232 - 12121) + '\063' + chr(251 - 196) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + '\062' + chr(0b110100) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(325 - 276) + chr(0b11011 + 0o30) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + chr(1672 - 1617) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b10101 + 0o36), 0o10), ehT0Px3KOsy9(chr(1416 - 1368) + '\x6f' + '\x33' + chr(1358 - 1305) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1010011 + 0o34) + chr(0b10011 + 0o40) + chr(0b110001) + chr(55), 27574 - 27566), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110110) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\061' + chr(54), 50258 - 50250), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101010 + 0o11) + '\x30' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + '\x31' + chr(189 - 138), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100 + 0o60) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1011110 + 0o21) + chr(0b110001) + '\x34' + chr(0b110111), 30085 - 30077), ehT0Px3KOsy9(chr(48) + chr(0b100000 + 0o117) + chr(52) + chr(49), 8), ehT0Px3KOsy9(chr(458 - 410) + '\x6f' + chr(2389 - 2337) + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + chr(2724 - 2613) + chr(0b110011) + chr(55) + '\062', 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101 + 0o142) + '\061' + chr(0b100111 + 0o11) + '\x36', 50224 - 50216), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(48) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1550 - 1502) + chr(0b111001 + 0o66) + '\063' + chr(50) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110111) + chr(2169 - 2118), 0o10), ehT0Px3KOsy9(chr(1476 - 1428) + chr(0b1101111) + '\x33' + chr(571 - 522) + chr(0b10011 + 0o44), 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(5054 - 4943) + '\x31' + chr(0b110010) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(88 - 40) + chr(6372 - 6261) + chr(0b110010) + '\x32' + '\061', 1947 - 1939), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(52) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1478 - 1429) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(738 - 690) + '\x6f' + '\x31' + chr(0b1 + 0o63) + chr(1579 - 1526), 0o10), ehT0Px3KOsy9('\060' + chr(10267 - 10156) + '\x34' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\x33' + chr(0b10110 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11852 - 11741) + chr(50) + '\066' + chr(0b101101 + 0o12), 0b1000), ehT0Px3KOsy9(chr(48) + chr(767 - 656) + '\062' + chr(0b110110) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1 + 0o62) + chr(53) + chr(1539 - 1487), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(51) + chr(0b110101) + '\060', 0b1000), ehT0Px3KOsy9(chr(611 - 563) + '\x6f' + chr(49) + '\x31' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1417 - 1368) + '\067' + chr(54), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + chr(0b1110 + 0o47) + chr(0b110000), 41286 - 41278)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xba'), '\x64' + chr(101) + chr(8575 - 8476) + chr(0b1101111) + chr(0b1001110 + 0o26) + chr(0b1100101))('\165' + chr(0b1110100) + chr(7359 - 7257) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def JYfCeK9WjyXW(uI2evTH5km5q, tU2t5Xw4d56f):
return uI2evTH5km5q == tU2t5Xw4d56f or (PlSM16l2KDPD(uI2evTH5km5q, MX_oDU8Fv4tE) and xafqLlk3kkUe(uI2evTH5km5q, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd\x1a\xc3z\xb2'), '\x64' + chr(0b1011011 + 0o12) + chr(0b111111 + 0o44) + '\157' + chr(1466 - 1366) + chr(101))(chr(12014 - 11897) + chr(0b1010101 + 0o37) + chr(102) + chr(0b101101) + '\x38'))(tU2t5Xw4d56f))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic_math.py
|
random_expr_with_required_var
|
def random_expr_with_required_var(depth, required_var, optional_list, ops):
"""Generate a random expression tree with a required variable.
The required variable appears exactly once in the expression.
Args:
depth: At least one leaf will be this many levels down from the top.
required_var: A char. This char is guaranteed to be placed exactly once at
a leaf somewhere in the tree. This is the var to solve for.
optional_list: A list of chars. These chars are randomly selected as leaf
values. These are constant vars.
ops: A list of ExprOp instances.
Returns:
An ExprNode instance which is the root of the generated expression tree.
"""
if not depth:
if required_var:
return required_var
return str(optional_list[random.randrange(len(optional_list))])
max_depth_side = random.randrange(2)
other_side_depth = random.randrange(depth)
required_var_side = random.randrange(2)
left = random_expr_with_required_var(
depth - 1 if max_depth_side else other_side_depth, required_var
if required_var_side else None, optional_list, ops)
right = random_expr_with_required_var(
depth - 1 if not max_depth_side else other_side_depth, required_var
if not required_var_side else None, optional_list, ops)
op = ops[random.randrange(len(ops))]
return ExprNode(left, right, op)
|
python
|
def random_expr_with_required_var(depth, required_var, optional_list, ops):
"""Generate a random expression tree with a required variable.
The required variable appears exactly once in the expression.
Args:
depth: At least one leaf will be this many levels down from the top.
required_var: A char. This char is guaranteed to be placed exactly once at
a leaf somewhere in the tree. This is the var to solve for.
optional_list: A list of chars. These chars are randomly selected as leaf
values. These are constant vars.
ops: A list of ExprOp instances.
Returns:
An ExprNode instance which is the root of the generated expression tree.
"""
if not depth:
if required_var:
return required_var
return str(optional_list[random.randrange(len(optional_list))])
max_depth_side = random.randrange(2)
other_side_depth = random.randrange(depth)
required_var_side = random.randrange(2)
left = random_expr_with_required_var(
depth - 1 if max_depth_side else other_side_depth, required_var
if required_var_side else None, optional_list, ops)
right = random_expr_with_required_var(
depth - 1 if not max_depth_side else other_side_depth, required_var
if not required_var_side else None, optional_list, ops)
op = ops[random.randrange(len(ops))]
return ExprNode(left, right, op)
|
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] |
Generate a random expression tree with a required variable.
The required variable appears exactly once in the expression.
Args:
depth: At least one leaf will be this many levels down from the top.
required_var: A char. This char is guaranteed to be placed exactly once at
a leaf somewhere in the tree. This is the var to solve for.
optional_list: A list of chars. These chars are randomly selected as leaf
values. These are constant vars.
ops: A list of ExprOp instances.
Returns:
An ExprNode instance which is the root of the generated expression tree.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic_math.py#L95-L129
|
train
|
Generate a random expression tree with a required variable.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(0b1000 + 0o57) + chr(0b101110 + 0o2), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\063' + chr(395 - 343), 13902 - 13894), ehT0Px3KOsy9(chr(612 - 564) + chr(111) + chr(0b1110 + 0o45) + chr(180 - 130) + chr(0b110 + 0o57), 0o10), ehT0Px3KOsy9(chr(48) + chr(9369 - 9258) + chr(53), 55440 - 55432), ehT0Px3KOsy9(chr(583 - 535) + chr(0b111 + 0o150) + '\x33' + chr(0b110110) + '\062', 34339 - 34331), ehT0Px3KOsy9(chr(0b110000) + chr(10751 - 10640) + '\061' + chr(0b1100 + 0o50) + chr(0b1010 + 0o50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + chr(50) + '\x35' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(150 - 100) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100010 + 0o115) + '\061' + '\x36' + chr(50), 52861 - 52853), ehT0Px3KOsy9(chr(0b110000) + chr(0b111 + 0o150) + '\061' + chr(0b11110 + 0o25) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7724 - 7613) + chr(0b11011 + 0o30) + chr(588 - 533) + '\061', 50997 - 50989), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(438 - 387) + '\065' + chr(0b11101 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(0b100001 + 0o21) + chr(53) + chr(55), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\x32' + chr(0b110100), 36378 - 36370), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011 + 0o144) + chr(51) + chr(51) + chr(0b110110), 23130 - 23122), ehT0Px3KOsy9(chr(48) + chr(0b1010011 + 0o34) + chr(0b110100) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5957 - 5846) + chr(49) + chr(0b110000) + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b110001) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(923 - 868), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2162 - 2051) + chr(0b10 + 0o57) + chr(257 - 207), ord("\x08")), ehT0Px3KOsy9(chr(169 - 121) + '\x6f' + '\x32' + chr(0b100011 + 0o21) + chr(0b101111 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(1301 - 1253) + '\x6f' + '\062' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(3499 - 3388) + '\061' + '\066' + chr(722 - 674), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b110001) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2644 - 2592) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\x34' + '\x34', 39185 - 39177), ehT0Px3KOsy9('\x30' + chr(11392 - 11281) + '\061' + chr(54) + chr(0b10 + 0o63), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + chr(51) + '\x33' + chr(0b100100 + 0o20), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100000 + 0o23) + chr(50) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x36' + chr(0b101101 + 0o10), 62911 - 62903), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(1972 - 1919) + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(55) + chr(0b100110 + 0o20), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + '\x31' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1185 - 1137) + chr(0b1101111) + chr(0b100001 + 0o21) + '\x31' + chr(0b111 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + chr(1056 - 1006) + chr(0b1 + 0o60) + chr(233 - 181), 15381 - 15373), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(51) + '\061' + chr(0b11001 + 0o31), 53810 - 53802), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b100010 + 0o115) + chr(0b10000 + 0o41) + chr(0b101110 + 0o2) + chr(1425 - 1373), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110110 + 0o71) + '\x32' + chr(0b110101) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(48) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\x30' + chr(51), 0b1000)][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'\x16'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1011111 + 0o5) + '\x65')('\165' + '\x74' + chr(102) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def yY9aQyYE0SZh(UEys4_lSwsID, PmhitHUxomZI, vdSMxqZncn80, _nu2um5Q5WJf):
if not UEys4_lSwsID:
if PmhitHUxomZI:
return PmhitHUxomZI
return M8_cKLkHVB2V(vdSMxqZncn80[xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'J\xfd\xbba\x80\x03\xc10\x17'), '\144' + '\x65' + chr(0b1111 + 0o124) + chr(0b110 + 0o151) + chr(0b1100100) + '\x65')(chr(156 - 39) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b111000)))(c2A0yzQpDQB3(vdSMxqZncn80))])
jGjSGWTGinHS = drxw09AdRdci.randrange(ehT0Px3KOsy9(chr(1618 - 1570) + chr(0b1101111) + chr(0b10001 + 0o41), ord("\x08")))
FPFseLtOdSrS = drxw09AdRdci.randrange(UEys4_lSwsID)
mipkTE_eL5Bx = drxw09AdRdci.randrange(ehT0Px3KOsy9(chr(2236 - 2188) + chr(0b1101111) + '\062', 8))
mtX6HPOlWiYu = yY9aQyYE0SZh(UEys4_lSwsID - ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b110001), 27286 - 27278) if jGjSGWTGinHS else FPFseLtOdSrS, PmhitHUxomZI if mipkTE_eL5Bx else None, vdSMxqZncn80, _nu2um5Q5WJf)
isOYmsUx1jxa = yY9aQyYE0SZh(UEys4_lSwsID - ehT0Px3KOsy9('\x30' + chr(0b1000101 + 0o52) + chr(0b110001), 8) if not jGjSGWTGinHS else FPFseLtOdSrS, PmhitHUxomZI if not mipkTE_eL5Bx else None, vdSMxqZncn80, _nu2um5Q5WJf)
C8dAr6Ujq2Tn = _nu2um5Q5WJf[drxw09AdRdci.randrange(c2A0yzQpDQB3(_nu2um5Q5WJf))]
return MX_oDU8Fv4tE(mtX6HPOlWiYu, isOYmsUx1jxa, C8dAr6Ujq2Tn)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic_math.py
|
random_expr
|
def random_expr(depth, vlist, ops):
"""Generate a random expression tree.
Args:
depth: At least one leaf will be this many levels down from the top.
vlist: A list of chars. These chars are randomly selected as leaf values.
ops: A list of ExprOp instances.
Returns:
An ExprNode instance which is the root of the generated expression tree.
"""
if not depth:
return str(vlist[random.randrange(len(vlist))])
max_depth_side = random.randrange(2)
other_side_depth = random.randrange(depth)
left = random_expr(depth - 1
if max_depth_side else other_side_depth, vlist, ops)
right = random_expr(depth - 1
if not max_depth_side else other_side_depth, vlist, ops)
op = ops[random.randrange(len(ops))]
return ExprNode(left, right, op)
|
python
|
def random_expr(depth, vlist, ops):
"""Generate a random expression tree.
Args:
depth: At least one leaf will be this many levels down from the top.
vlist: A list of chars. These chars are randomly selected as leaf values.
ops: A list of ExprOp instances.
Returns:
An ExprNode instance which is the root of the generated expression tree.
"""
if not depth:
return str(vlist[random.randrange(len(vlist))])
max_depth_side = random.randrange(2)
other_side_depth = random.randrange(depth)
left = random_expr(depth - 1
if max_depth_side else other_side_depth, vlist, ops)
right = random_expr(depth - 1
if not max_depth_side else other_side_depth, vlist, ops)
op = ops[random.randrange(len(ops))]
return ExprNode(left, right, op)
|
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] |
Generate a random expression tree.
Args:
depth: At least one leaf will be this many levels down from the top.
vlist: A list of chars. These chars are randomly selected as leaf values.
ops: A list of ExprOp instances.
Returns:
An ExprNode instance which is the root of the generated expression tree.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic_math.py#L132-L155
|
train
|
Generate a random expression tree.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(51) + chr(0b101011 + 0o6) + '\065', 7900 - 7892), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100011 + 0o16) + '\067' + chr(0b1001 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(50) + chr(0b110111) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1402 - 1354) + chr(0b1101111) + chr(0b1 + 0o62) + chr(0b110000) + chr(1781 - 1733), 63020 - 63012), ehT0Px3KOsy9('\x30' + chr(0b10110 + 0o131) + chr(2509 - 2458) + chr(0b101100 + 0o11), 13533 - 13525), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\x33' + chr(0b110001 + 0o1) + chr(430 - 382), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101010 + 0o7) + '\x36' + '\064', 51387 - 51379), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(681 - 633) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(90 - 42) + chr(111) + '\x32' + chr(0b110011) + chr(1994 - 1939), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6903 - 6792) + chr(50) + chr(2074 - 2026) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(53) + chr(2797 - 2742), 35972 - 35964), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101101 + 0o6) + chr(976 - 927) + chr(0b10001 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(897 - 847) + chr(48), 47350 - 47342), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b110001 + 0o1) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3043 - 2932) + chr(0b110001) + '\066' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(1056 - 1007) + chr(0b101111 + 0o10), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b1001 + 0o54) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b10100 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110111) + chr(1479 - 1427), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2351 - 2301) + '\x30' + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\066' + chr(739 - 685), 8), ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1111 + 0o140) + '\x32' + chr(1694 - 1643) + chr(0b110101 + 0o0), 0b1000), ehT0Px3KOsy9(chr(2000 - 1952) + chr(0b1101111) + chr(0b110010) + chr(0b100011 + 0o21) + chr(1691 - 1638), 0o10), ehT0Px3KOsy9(chr(1822 - 1774) + '\x6f' + chr(49) + chr(54) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1100110 + 0o11) + chr(0b100101 + 0o16) + '\x37' + chr(0b1010 + 0o55), 53074 - 53066), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(6440 - 6329) + '\062' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b110001), 45977 - 45969), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1001100 + 0o43) + chr(0b11010 + 0o27) + chr(0b110011) + chr(0b110010), 36709 - 36701), ehT0Px3KOsy9(chr(2177 - 2129) + '\157' + '\x31' + chr(0b0 + 0o61) + chr(2338 - 2289), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(0b101110 + 0o3) + '\066', 0o10), ehT0Px3KOsy9(chr(1705 - 1657) + chr(3645 - 3534) + '\061' + '\066' + chr(0b101111 + 0o4), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1277 - 1228) + chr(50) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(2508 - 2397) + '\065' + chr(0b11010 + 0o33), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(338 - 283) + chr(1460 - 1406), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + '\x32' + chr(0b110111) + chr(0b110110), 311 - 303), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(690 - 639) + '\062', 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + '\x33' + chr(0b110101) + chr(48), 32981 - 32973), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(628 - 576) + '\x34', 46647 - 46639), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b10010 + 0o37) + chr(0b110110) + '\060', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1849 - 1801) + chr(0b1101111) + chr(2488 - 2435) + chr(457 - 409), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3'), '\x64' + chr(0b111010 + 0o53) + '\x63' + chr(4824 - 4713) + '\144' + '\x65')(chr(117) + chr(6727 - 6611) + chr(0b10010 + 0o124) + chr(0b11011 + 0o22) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def aLl18m884oms(UEys4_lSwsID, cDNokUnR7MCJ, _nu2um5Q5WJf):
if not UEys4_lSwsID:
return M8_cKLkHVB2V(cDNokUnR7MCJ[xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\x1c\xd2\xa4o\xb1\x1a\xa6\xfa'), chr(9022 - 8922) + '\145' + chr(0b1101 + 0o126) + chr(0b10 + 0o155) + '\x64' + chr(101))(chr(12177 - 12060) + chr(0b1110100) + '\146' + chr(45) + chr(2126 - 2070)))(c2A0yzQpDQB3(cDNokUnR7MCJ))])
jGjSGWTGinHS = drxw09AdRdci.randrange(ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101001 + 0o6) + chr(50), 0b1000))
FPFseLtOdSrS = drxw09AdRdci.randrange(UEys4_lSwsID)
mtX6HPOlWiYu = aLl18m884oms(UEys4_lSwsID - ehT0Px3KOsy9(chr(703 - 655) + '\x6f' + '\x31', 0b1000) if jGjSGWTGinHS else FPFseLtOdSrS, cDNokUnR7MCJ, _nu2um5Q5WJf)
isOYmsUx1jxa = aLl18m884oms(UEys4_lSwsID - ehT0Px3KOsy9(chr(431 - 383) + '\157' + chr(0b101001 + 0o10), 8) if not jGjSGWTGinHS else FPFseLtOdSrS, cDNokUnR7MCJ, _nu2um5Q5WJf)
C8dAr6Ujq2Tn = _nu2um5Q5WJf[drxw09AdRdci.randrange(c2A0yzQpDQB3(_nu2um5Q5WJf))]
return MX_oDU8Fv4tE(mtX6HPOlWiYu, isOYmsUx1jxa, C8dAr6Ujq2Tn)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic_math.py
|
algebra_inverse_solve
|
def algebra_inverse_solve(left, right, var, solve_ops):
"""Solves for the value of the given var in an expression.
Args:
left: The root of the ExprNode tree on the left side of the equals sign.
right: The root of the ExprNode tree on the right side of the equals sign.
var: A char. The variable to solve for.
solve_ops: A dictionary with the following properties.
* For each operator in the expression, there is a rule that determines
how to cancel out a value either to the left or the right of that
operator.
* For each rule, there is an entry in the dictionary. The key is two
chars- the op char, and either 'l' or 'r' meaning rule for canceling
out the left or right sides. For example, '+l', '+r', '-l', '-r'.
* The value of each entry is a function with the following signature:
(left, right, to_tree) -> (new_from_tree, new_to_tree)
left- Expression on left side of the op.
right- Expression on the right side of the op.
to_tree- The tree on the other side of the equal sign. The canceled
out expression will be moved here.
new_from_tree- The resulting from_tree after the algebraic
manipulation.
new_to_tree- The resulting to_tree after the algebraic manipulation.
Returns:
The root of an ExprNode tree which holds the value of `var` after solving.
Raises:
ValueError: If `var` does not appear exactly once in the equation (which
includes the left and right sides).
"""
is_in_left = is_in_expr(left, var)
is_in_right = is_in_expr(right, var)
if is_in_left == is_in_right:
if is_in_left:
raise ValueError("Solve-variable '%s' is on both sides of the equation. "
"Only equations where the solve variable-appears once "
"are supported by this solver. Left: '%s', right: '%s'" %
(var, str(left), str(right)))
else:
raise ValueError("Solve-variable '%s' is not present in the equation. It "
"must appear once. Left: '%s', right: '%s'" %
(var, str(left), str(right)))
from_tree = left if is_in_left else right
to_tree = left if not is_in_left else right
while from_tree != var:
is_in_left = is_in_expr(from_tree.left, var)
is_in_right = is_in_expr(from_tree.right, var)
from_tree, to_tree = (solve_ops[str(from_tree.op)
+ ("l" if is_in_left else "r")](
from_tree.left, from_tree.right,
to_tree))
return to_tree
|
python
|
def algebra_inverse_solve(left, right, var, solve_ops):
"""Solves for the value of the given var in an expression.
Args:
left: The root of the ExprNode tree on the left side of the equals sign.
right: The root of the ExprNode tree on the right side of the equals sign.
var: A char. The variable to solve for.
solve_ops: A dictionary with the following properties.
* For each operator in the expression, there is a rule that determines
how to cancel out a value either to the left or the right of that
operator.
* For each rule, there is an entry in the dictionary. The key is two
chars- the op char, and either 'l' or 'r' meaning rule for canceling
out the left or right sides. For example, '+l', '+r', '-l', '-r'.
* The value of each entry is a function with the following signature:
(left, right, to_tree) -> (new_from_tree, new_to_tree)
left- Expression on left side of the op.
right- Expression on the right side of the op.
to_tree- The tree on the other side of the equal sign. The canceled
out expression will be moved here.
new_from_tree- The resulting from_tree after the algebraic
manipulation.
new_to_tree- The resulting to_tree after the algebraic manipulation.
Returns:
The root of an ExprNode tree which holds the value of `var` after solving.
Raises:
ValueError: If `var` does not appear exactly once in the equation (which
includes the left and right sides).
"""
is_in_left = is_in_expr(left, var)
is_in_right = is_in_expr(right, var)
if is_in_left == is_in_right:
if is_in_left:
raise ValueError("Solve-variable '%s' is on both sides of the equation. "
"Only equations where the solve variable-appears once "
"are supported by this solver. Left: '%s', right: '%s'" %
(var, str(left), str(right)))
else:
raise ValueError("Solve-variable '%s' is not present in the equation. It "
"must appear once. Left: '%s', right: '%s'" %
(var, str(left), str(right)))
from_tree = left if is_in_left else right
to_tree = left if not is_in_left else right
while from_tree != var:
is_in_left = is_in_expr(from_tree.left, var)
is_in_right = is_in_expr(from_tree.right, var)
from_tree, to_tree = (solve_ops[str(from_tree.op)
+ ("l" if is_in_left else "r")](
from_tree.left, from_tree.right,
to_tree))
return to_tree
|
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Solves for the value of the given var in an expression.
Args:
left: The root of the ExprNode tree on the left side of the equals sign.
right: The root of the ExprNode tree on the right side of the equals sign.
var: A char. The variable to solve for.
solve_ops: A dictionary with the following properties.
* For each operator in the expression, there is a rule that determines
how to cancel out a value either to the left or the right of that
operator.
* For each rule, there is an entry in the dictionary. The key is two
chars- the op char, and either 'l' or 'r' meaning rule for canceling
out the left or right sides. For example, '+l', '+r', '-l', '-r'.
* The value of each entry is a function with the following signature:
(left, right, to_tree) -> (new_from_tree, new_to_tree)
left- Expression on left side of the op.
right- Expression on the right side of the op.
to_tree- The tree on the other side of the equal sign. The canceled
out expression will be moved here.
new_from_tree- The resulting from_tree after the algebraic
manipulation.
new_to_tree- The resulting to_tree after the algebraic manipulation.
Returns:
The root of an ExprNode tree which holds the value of `var` after solving.
Raises:
ValueError: If `var` does not appear exactly once in the equation (which
includes the left and right sides).
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic_math.py#L158-L211
|
train
|
Solves for the value of the given var in an expression.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(1002 - 952) + chr(0b110111) + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(11952 - 11841) + chr(49) + chr(0b100100 + 0o17) + chr(0b110101), 32384 - 32376), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b1011 + 0o50) + chr(1142 - 1092), 0o10), ehT0Px3KOsy9(chr(2206 - 2158) + '\157' + '\x32' + chr(0b110101) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + chr(255 - 205) + chr(0b110010) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\061' + chr(0b11 + 0o55), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(0b1 + 0o60) + chr(54) + chr(1485 - 1434), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b101110 + 0o4) + '\062', 60227 - 60219), ehT0Px3KOsy9('\x30' + chr(0b110101 + 0o72) + chr(49) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b0 + 0o62) + chr(1029 - 978) + chr(0b100100 + 0o17), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + '\063' + chr(0b110111) + chr(49), 27213 - 27205), ehT0Px3KOsy9(chr(1979 - 1931) + chr(7975 - 7864) + '\063' + chr(0b10111 + 0o33) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(4552 - 4441) + '\x33' + '\065' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101 + 0o54) + chr(50) + chr(0b110011), 22862 - 22854), ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + '\062' + chr(843 - 793) + chr(1705 - 1650), 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + '\x33' + chr(52), 0o10), ehT0Px3KOsy9(chr(1173 - 1125) + chr(8583 - 8472) + chr(744 - 695) + '\x32' + '\x30', 22221 - 22213), ehT0Px3KOsy9('\x30' + chr(111) + chr(1246 - 1195) + chr(0b110111) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1135 - 1087) + chr(111) + chr(0b101111 + 0o6) + chr(53), 48481 - 48473), ehT0Px3KOsy9('\x30' + chr(0b111000 + 0o67) + chr(55) + '\062', 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b100000 + 0o117) + chr(49) + chr(2596 - 2543) + chr(0b110000 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(1728 - 1673) + chr(1959 - 1905), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1042 - 991) + chr(1327 - 1278) + chr(0b10011 + 0o36), 21042 - 21034), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b111 + 0o150) + chr(0b1001 + 0o50) + '\067' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(159 - 111) + chr(0b1010 + 0o145) + '\x31' + '\063' + chr(1554 - 1502), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000 + 0o4) + chr(0b11000 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x36' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(200 - 152) + '\x6f' + '\063' + chr(0b110101) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b110110), 39495 - 39487), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + chr(0b110001) + '\x36' + chr(2576 - 2525), 8), ehT0Px3KOsy9('\x30' + chr(0b1010100 + 0o33) + '\062' + chr(91 - 39) + chr(1408 - 1354), ord("\x08")), ehT0Px3KOsy9(chr(1152 - 1104) + chr(7045 - 6934) + '\063' + '\x33' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110111) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\064' + chr(0b100010 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(4152 - 4041) + chr(51) + chr(0b11 + 0o56) + '\063', 40190 - 40182), ehT0Px3KOsy9('\060' + chr(6404 - 6293) + '\062' + chr(52) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110111) + chr(0b11 + 0o63), 33213 - 33205), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(2278 - 2228) + chr(1786 - 1737), 58103 - 58095), ehT0Px3KOsy9(chr(1698 - 1650) + chr(0b101010 + 0o105) + chr(0b110001) + '\067' + chr(0b10010 + 0o43), 48120 - 48112)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1813 - 1765) + '\157' + chr(0b1111 + 0o46) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x96'), chr(0b1100100) + chr(0b100110 + 0o77) + chr(211 - 112) + chr(0b11110 + 0o121) + '\x64' + chr(0b1001 + 0o134))('\x75' + chr(116) + '\x66' + chr(0b101101) + chr(1138 - 1082)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nGBWc5zniPEH(mtX6HPOlWiYu, isOYmsUx1jxa, l38lb8xQZNsE, zd2_K8SEGtuV):
q_TNVeN8dLYc = JYfCeK9WjyXW(mtX6HPOlWiYu, l38lb8xQZNsE)
zDOicTC8UI_5 = JYfCeK9WjyXW(isOYmsUx1jxa, l38lb8xQZNsE)
if q_TNVeN8dLYc == zDOicTC8UI_5:
if q_TNVeN8dLYc:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb2\xb6\xdf\xf2\xe5\x05\xf3\x7f\xf2\x98\xb2\x826\xb7;u\x8f\n\x1a\x06\x8d\xe9\x112\x03\xd5\x86buS\xd5\xb4_\x00\xb8\x82\xd1\xf7]\xcc5\xbf\x89\xf2\xb9\x06\xf3y\xf2\x96\xbe\xc0s\xd8r<\x85\r_\x1e\x8b\xa8\n5L\xd9\x9a6j\x1b\xc3\xaf^E\xbf\xca\xdb\xb1\x0e\xd71\xac\xcc\xb7\xbe\x12\xe0d\xfa\x9b\xbc\x8b~\xf6l \x99LH\x1c\xde\xa6\x10?F\x97\x88dxS\xd5\xa8K\x15\xa4\xd0\xca\xf4\x19\x98?\xa3\x89\xe3\xa0\x1a\xe1-\xe8\x96\xbc\x986\xe52p\xb0H\\\x1b\xc4\xe9YyP\x90\xc56o\x1a\xc1\xb5O_\xeb\x85\x9b\xe2Z'), '\144' + '\145' + chr(8118 - 8019) + chr(5853 - 5742) + chr(0b1010010 + 0o22) + chr(0b110100 + 0o61))(chr(117) + '\164' + '\146' + chr(0b101101) + '\x38') % (l38lb8xQZNsE, M8_cKLkHVB2V(mtX6HPOlWiYu), M8_cKLkHVB2V(isOYmsUx1jxa)))
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b"\xeb2\xb6\xdf\xf2\xe5\x05\xf3\x7f\xf2\x98\xb2\x826\xb7;u\x8f\n\x1a\x06\x8d\xe9\x103W\x97\x99dx\x00\xc3\xb3OE\xa2\xcc\x9e\xe5\x15\xdd}\xbf\xd8\xe2\xa9\x07\xfbb\xf5\xd7\xf0\xa7'\xb7q%\x8fY\x1a\x0e\x8e\xb9\x1b=Q\x97\x86x~\x16\x88\xfdw\x00\xad\xd6\x84\xb1Z\x9d.\xfd\x85\xb7\xba\x1a\xf5e\xef\xc3\xf0\xc9v\xe4;"), chr(0b100101 + 0o77) + chr(0b11101 + 0o110) + chr(7511 - 7412) + chr(0b1101111) + chr(6430 - 6330) + '\x65')(chr(117) + '\164' + chr(0b11001 + 0o115) + '\055' + chr(3015 - 2959)) % (l38lb8xQZNsE, M8_cKLkHVB2V(mtX6HPOlWiYu), M8_cKLkHVB2V(isOYmsUx1jxa)))
Y_CLSnUesJVy = mtX6HPOlWiYu if q_TNVeN8dLYc else isOYmsUx1jxa
JiibdnW9popl = mtX6HPOlWiYu if not q_TNVeN8dLYc else isOYmsUx1jxa
while Y_CLSnUesJVy != l38lb8xQZNsE:
q_TNVeN8dLYc = JYfCeK9WjyXW(Y_CLSnUesJVy.mtX6HPOlWiYu, l38lb8xQZNsE)
zDOicTC8UI_5 = JYfCeK9WjyXW(Y_CLSnUesJVy.isOYmsUx1jxa, l38lb8xQZNsE)
(Y_CLSnUesJVy, JiibdnW9popl) = zd2_K8SEGtuV[M8_cKLkHVB2V(Y_CLSnUesJVy.C8dAr6Ujq2Tn) + (xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4'), chr(0b1000000 + 0o44) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(4644 - 4543))(chr(117) + chr(0b11100 + 0o130) + '\x66' + chr(0b101101) + chr(1449 - 1393)) if q_TNVeN8dLYc else xafqLlk3kkUe(SXOLrMavuUCe(b'\xca'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(4846 - 4735) + '\x64' + chr(8092 - 7991))(chr(117) + chr(0b1100110 + 0o16) + '\x66' + chr(1919 - 1874) + '\x38'))](Y_CLSnUesJVy.mtX6HPOlWiYu, Y_CLSnUesJVy.isOYmsUx1jxa, JiibdnW9popl)
return JiibdnW9popl
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic_math.py
|
format_sympy_expr
|
def format_sympy_expr(sympy_expr, functions=None):
"""Convert sympy expression into a string which can be encoded.
Args:
sympy_expr: Any sympy expression tree or string.
functions: Defines special functions. A dict mapping human readable string
names, like "log", "exp", "sin", "cos", etc., to single chars. Each
function gets a unique token, like "L" for "log".
Returns:
A string representation of the expression suitable for encoding as a
sequence input.
"""
if functions is None:
functions = {}
str_expr = str(sympy_expr)
result = str_expr.replace(" ", "")
for fn_name, char in six.iteritems(functions):
result = result.replace(fn_name, char)
return result
|
python
|
def format_sympy_expr(sympy_expr, functions=None):
"""Convert sympy expression into a string which can be encoded.
Args:
sympy_expr: Any sympy expression tree or string.
functions: Defines special functions. A dict mapping human readable string
names, like "log", "exp", "sin", "cos", etc., to single chars. Each
function gets a unique token, like "L" for "log".
Returns:
A string representation of the expression suitable for encoding as a
sequence input.
"""
if functions is None:
functions = {}
str_expr = str(sympy_expr)
result = str_expr.replace(" ", "")
for fn_name, char in six.iteritems(functions):
result = result.replace(fn_name, char)
return result
|
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"format_sympy_expr",
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"str_expr",
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"(",
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",",
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"result",
"=",
"result",
".",
"replace",
"(",
"fn_name",
",",
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")",
"return",
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] |
Convert sympy expression into a string which can be encoded.
Args:
sympy_expr: Any sympy expression tree or string.
functions: Defines special functions. A dict mapping human readable string
names, like "log", "exp", "sin", "cos", etc., to single chars. Each
function gets a unique token, like "L" for "log".
Returns:
A string representation of the expression suitable for encoding as a
sequence input.
|
[
"Convert",
"sympy",
"expression",
"into",
"a",
"string",
"which",
"can",
"be",
"encoded",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic_math.py#L214-L233
|
train
|
Convert a sympy expression tree to a string which can be encoded.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110100) + chr(0b101100 + 0o4), 7100 - 7092), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(7676 - 7565) + chr(0b110001) + chr(51) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(48) + chr(1515 - 1464), 0b1000), ehT0Px3KOsy9(chr(1521 - 1473) + '\157' + chr(51) + '\061' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + '\x31' + '\x37' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(7340 - 7229) + chr(1798 - 1747) + chr(0b110011 + 0o2), 54507 - 54499), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\x30' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110111) + chr(51), 15054 - 15046), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(51) + '\x37' + chr(2684 - 2629), 0b1000), ehT0Px3KOsy9(chr(1004 - 956) + chr(111) + '\x33' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1033 - 922) + chr(281 - 232) + chr(357 - 302) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(138 - 90) + '\065', 26935 - 26927), ehT0Px3KOsy9(chr(531 - 483) + chr(10022 - 9911) + chr(658 - 609) + chr(782 - 733) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\064' + chr(1050 - 1002), 8), ehT0Px3KOsy9(chr(2010 - 1962) + chr(0b1101111) + '\061' + chr(0b110101) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b100100 + 0o14) + chr(1630 - 1575), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b101010 + 0o105) + chr(0b110010) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1732 - 1684) + '\157' + '\062' + '\064' + chr(0b110011), 21862 - 21854), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b100011 + 0o20) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\x33' + chr(53) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1010111 + 0o30) + chr(139 - 90) + chr(1548 - 1494) + chr(1886 - 1831), ord("\x08")), ehT0Px3KOsy9(chr(2258 - 2210) + '\x6f' + chr(0b11001 + 0o32) + chr(52) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(2169 - 2058) + chr(0b11111 + 0o22) + chr(0b110000) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\065', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(1676 - 1623) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b100000 + 0o25) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\061' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b100100 + 0o22) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(985 - 937) + chr(0b1101111) + '\062' + chr(0b10000 + 0o41) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(7795 - 7684) + chr(50) + '\x32' + '\065', 12553 - 12545), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(0b10110 + 0o35) + chr(53) + '\x36', 8), ehT0Px3KOsy9(chr(550 - 502) + '\157' + chr(585 - 534) + chr(0b110001) + chr(0b11100 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(50) + chr(0b110110) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + '\x31' + chr(49) + '\062', 27293 - 27285), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(9090 - 8979) + '\062' + chr(50) + chr(0b10001 + 0o37), 40141 - 40133), ehT0Px3KOsy9(chr(1093 - 1045) + '\x6f' + chr(994 - 943) + chr(1713 - 1658) + '\x30', 59757 - 59749), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(822 - 767) + '\067', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110 + 0o54) + '\063' + chr(0b11100 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + '\062' + '\x36' + chr(0b110101), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(0b110101) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'N'), chr(100) + '\145' + chr(0b1001101 + 0o26) + chr(5272 - 5161) + chr(2107 - 2007) + chr(0b1011110 + 0o7))(chr(8360 - 8243) + chr(116) + chr(1610 - 1508) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def KBStqstqOKEq(Ymg3yePuzaKI, C1R32KxhgJbQ=None):
if C1R32KxhgJbQ is None:
C1R32KxhgJbQ = {}
hE4BAWPMksKz = M8_cKLkHVB2V(Ymg3yePuzaKI)
ShZmEKfTkAOZ = hE4BAWPMksKz.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'@'), chr(100) + chr(0b10011 + 0o122) + chr(1408 - 1309) + chr(111) + '\144' + chr(1854 - 1753))('\x75' + chr(6037 - 5921) + chr(102) + chr(45) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b''), '\144' + chr(101) + '\143' + chr(111) + chr(7730 - 7630) + chr(5231 - 5130))('\165' + chr(0b111100 + 0o70) + '\x66' + '\x2d' + chr(56)))
for (IhN1Csmp_CpP, YKFKmmkH7bDH) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'\t)&\xbd\x11i V\x8c'), chr(8185 - 8085) + chr(4554 - 4453) + '\x63' + chr(111) + chr(2906 - 2806) + chr(0b1100101))(chr(0b110 + 0o157) + chr(0b1101011 + 0o11) + '\x66' + '\055' + chr(56)))(C1R32KxhgJbQ):
ShZmEKfTkAOZ = ShZmEKfTkAOZ.replace(IhN1Csmp_CpP, YKFKmmkH7bDH)
return ShZmEKfTkAOZ
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic_math.py
|
generate_algebra_inverse_sample
|
def generate_algebra_inverse_sample(vlist, ops, solve_ops, min_depth,
max_depth):
"""Randomly generate an algebra inverse dataset sample.
Given an input equation and variable, produce the expression equal to the
variable.
Args:
vlist: Variable list. List of chars that can be used in the expression.
ops: List of ExprOp instances. The allowed operators for the expression.
solve_ops: See `solve_ops` documentation in `algebra_inverse_solve`.
min_depth: Expression trees will not have a smaller depth than this. 0 means
there is just a variable. 1 means there is one operation.
max_depth: Expression trees will not have a larger depth than this. To make
all trees have the same depth, set this equal to `min_depth`.
Returns:
sample: String representation of the input. Will be of the form
'solve_var:left_side=right_side'.
target: String representation of the solution.
"""
side = random.randrange(2)
left_depth = random.randrange(min_depth if side else 0, max_depth + 1)
right_depth = random.randrange(min_depth if not side else 0, max_depth + 1)
var_index = random.randrange(len(vlist))
var = vlist[var_index]
consts = vlist[:var_index] + vlist[var_index + 1:]
left = random_expr_with_required_var(left_depth, var
if side else None, consts, ops)
right = random_expr_with_required_var(right_depth, var
if not side else None, consts, ops)
left_str = str(left)
right_str = str(right)
target = str(algebra_inverse_solve(left, right, var, solve_ops))
sample = "%s:%s=%s" % (var, left_str, right_str)
return sample, target
|
python
|
def generate_algebra_inverse_sample(vlist, ops, solve_ops, min_depth,
max_depth):
"""Randomly generate an algebra inverse dataset sample.
Given an input equation and variable, produce the expression equal to the
variable.
Args:
vlist: Variable list. List of chars that can be used in the expression.
ops: List of ExprOp instances. The allowed operators for the expression.
solve_ops: See `solve_ops` documentation in `algebra_inverse_solve`.
min_depth: Expression trees will not have a smaller depth than this. 0 means
there is just a variable. 1 means there is one operation.
max_depth: Expression trees will not have a larger depth than this. To make
all trees have the same depth, set this equal to `min_depth`.
Returns:
sample: String representation of the input. Will be of the form
'solve_var:left_side=right_side'.
target: String representation of the solution.
"""
side = random.randrange(2)
left_depth = random.randrange(min_depth if side else 0, max_depth + 1)
right_depth = random.randrange(min_depth if not side else 0, max_depth + 1)
var_index = random.randrange(len(vlist))
var = vlist[var_index]
consts = vlist[:var_index] + vlist[var_index + 1:]
left = random_expr_with_required_var(left_depth, var
if side else None, consts, ops)
right = random_expr_with_required_var(right_depth, var
if not side else None, consts, ops)
left_str = str(left)
right_str = str(right)
target = str(algebra_inverse_solve(left, right, var, solve_ops))
sample = "%s:%s=%s" % (var, left_str, right_str)
return sample, target
|
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] |
Randomly generate an algebra inverse dataset sample.
Given an input equation and variable, produce the expression equal to the
variable.
Args:
vlist: Variable list. List of chars that can be used in the expression.
ops: List of ExprOp instances. The allowed operators for the expression.
solve_ops: See `solve_ops` documentation in `algebra_inverse_solve`.
min_depth: Expression trees will not have a smaller depth than this. 0 means
there is just a variable. 1 means there is one operation.
max_depth: Expression trees will not have a larger depth than this. To make
all trees have the same depth, set this equal to `min_depth`.
Returns:
sample: String representation of the input. Will be of the form
'solve_var:left_side=right_side'.
target: String representation of the solution.
|
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272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic_math.py#L236-L274
|
train
|
Generates an algebra inverse dataset sample.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x36', 17787 - 17779), ehT0Px3KOsy9(chr(1283 - 1235) + '\x6f' + chr(0b110011) + '\060' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + chr(53) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(175 - 64) + '\061' + chr(0b110000) + '\x37', 59254 - 59246), ehT0Px3KOsy9('\x30' + chr(0b1001101 + 0o42) + '\x34' + chr(1308 - 1257), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + '\062' + '\066' + chr(0b110010), 30692 - 30684), ehT0Px3KOsy9('\x30' + chr(0b1001101 + 0o42) + '\063' + chr(0b110000) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b0 + 0o62) + '\x37' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b101000 + 0o15) + chr(0b11 + 0o62), 64477 - 64469), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\064', 43249 - 43241), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101100 + 0o5) + '\062' + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(2285 - 2174) + chr(0b11101 + 0o25) + chr(1220 - 1165) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(52) + '\062', 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + '\x32' + '\x32' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(2071 - 2023) + '\157' + chr(0b110010) + chr(0b10 + 0o57), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1010 + 0o145) + chr(51) + chr(1298 - 1246) + chr(54), 28541 - 28533), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b11000 + 0o127) + chr(51) + chr(0b110001) + chr(0b10010 + 0o45), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\x32' + chr(49), 22234 - 22226), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(0b101001 + 0o11) + chr(0b1101 + 0o44) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(615 - 567) + chr(0b1101111) + chr(0b0 + 0o61) + chr(54) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10000 + 0o47) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1111 + 0o140) + chr(0b11111 + 0o23) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1991 - 1943) + chr(0b101010 + 0o105) + '\063' + chr(1556 - 1504), 0o10), ehT0Px3KOsy9(chr(287 - 239) + chr(0b1011000 + 0o27) + '\x31' + chr(0b110110) + chr(1447 - 1392), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(917 - 867) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51), 63296 - 63288), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b10001 + 0o41) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(0b1101 + 0o45) + chr(49) + '\x36', 0o10), ehT0Px3KOsy9(chr(225 - 177) + chr(6475 - 6364) + chr(51) + chr(0b111 + 0o53) + '\x37', 61291 - 61283), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11111 + 0o23) + '\061' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5594 - 5483) + chr(51) + chr(49) + chr(54), 26909 - 26901), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + chr(50) + chr(0b110001) + chr(2289 - 2235), 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(51) + chr(50) + chr(850 - 796), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11111 + 0o24) + chr(52) + chr(1606 - 1555), 0b1000), ehT0Px3KOsy9(chr(1836 - 1788) + '\157' + chr(0b110001) + chr(1559 - 1510) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(11539 - 11428) + '\063' + '\x30' + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(360 - 309) + chr(0b110000) + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001 + 0o2) + chr(0b101100 + 0o11) + chr(1290 - 1240), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b11001 + 0o33) + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + chr(0b101000 + 0o16), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + '\060', 26486 - 26478)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'('), '\x64' + chr(6170 - 6069) + chr(0b1011111 + 0o4) + chr(0b1101111) + chr(514 - 414) + '\145')(chr(0b1110101) + '\164' + chr(4796 - 4694) + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jMENE2XJs_Xn(cDNokUnR7MCJ, _nu2um5Q5WJf, zd2_K8SEGtuV, SENJvPRDnSlL, U9fr9lFGWX80):
Rub4guE5kYma = drxw09AdRdci.randrange(ehT0Px3KOsy9('\x30' + '\x6f' + '\x32', 12020 - 12012))
BGAlXn8ddprc = drxw09AdRdci.randrange(SENJvPRDnSlL if Rub4guE5kYma else ehT0Px3KOsy9('\x30' + chr(0b101110 + 0o101) + '\060', 0b1000), U9fr9lFGWX80 + ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001), 0b1000))
p5w5swGDwjJH = drxw09AdRdci.randrange(SENJvPRDnSlL if not Rub4guE5kYma else ehT0Px3KOsy9(chr(1604 - 1556) + '\157' + chr(48), 8), U9fr9lFGWX80 + ehT0Px3KOsy9('\060' + chr(7285 - 7174) + chr(664 - 615), 8))
O3UtvupPvWTs = drxw09AdRdci.randrange(c2A0yzQpDQB3(cDNokUnR7MCJ))
l38lb8xQZNsE = cDNokUnR7MCJ[O3UtvupPvWTs]
TosUMqQTPBXl = cDNokUnR7MCJ[:O3UtvupPvWTs] + cDNokUnR7MCJ[O3UtvupPvWTs + ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 8):]
mtX6HPOlWiYu = yY9aQyYE0SZh(BGAlXn8ddprc, l38lb8xQZNsE if Rub4guE5kYma else None, TosUMqQTPBXl, _nu2um5Q5WJf)
isOYmsUx1jxa = yY9aQyYE0SZh(p5w5swGDwjJH, l38lb8xQZNsE if not Rub4guE5kYma else None, TosUMqQTPBXl, _nu2um5Q5WJf)
VTeYj8jDqx4H = M8_cKLkHVB2V(mtX6HPOlWiYu)
TepWiVl92vzo = M8_cKLkHVB2V(isOYmsUx1jxa)
GR1581dR5rDS = M8_cKLkHVB2V(nGBWc5zniPEH(mtX6HPOlWiYu, isOYmsUx1jxa, l38lb8xQZNsE, zd2_K8SEGtuV))
aBu4gMMQp6Jg = xafqLlk3kkUe(SXOLrMavuUCe(b'#\xb2\x10bP\x8f\xe2\xcf'), chr(0b1100100) + chr(8521 - 8420) + '\x63' + '\157' + chr(0b1100100) + chr(101))(chr(2948 - 2831) + chr(10255 - 10139) + '\x66' + chr(1745 - 1700) + chr(0b111000)) % (l38lb8xQZNsE, VTeYj8jDqx4H, TepWiVl92vzo)
return (aBu4gMMQp6Jg, GR1581dR5rDS)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic_math.py
|
generate_algebra_simplify_sample
|
def generate_algebra_simplify_sample(vlist, ops, min_depth, max_depth):
"""Randomly generate an algebra simplify dataset sample.
Given an input expression, produce the simplified expression.
Args:
vlist: Variable list. List of chars that can be used in the expression.
ops: List of ExprOp instances. The allowed operators for the expression.
min_depth: Expression trees will not have a smaller depth than this. 0 means
there is just a variable. 1 means there is one operation.
max_depth: Expression trees will not have a larger depth than this. To make
all trees have the same depth, set this equal to `min_depth`.
Returns:
sample: String representation of the input.
target: String representation of the solution.
"""
depth = random.randrange(min_depth, max_depth + 1)
expr = random_expr(depth, vlist, ops)
sample = str(expr)
target = format_sympy_expr(sympy.simplify(sample))
return sample, target
|
python
|
def generate_algebra_simplify_sample(vlist, ops, min_depth, max_depth):
"""Randomly generate an algebra simplify dataset sample.
Given an input expression, produce the simplified expression.
Args:
vlist: Variable list. List of chars that can be used in the expression.
ops: List of ExprOp instances. The allowed operators for the expression.
min_depth: Expression trees will not have a smaller depth than this. 0 means
there is just a variable. 1 means there is one operation.
max_depth: Expression trees will not have a larger depth than this. To make
all trees have the same depth, set this equal to `min_depth`.
Returns:
sample: String representation of the input.
target: String representation of the solution.
"""
depth = random.randrange(min_depth, max_depth + 1)
expr = random_expr(depth, vlist, ops)
sample = str(expr)
target = format_sympy_expr(sympy.simplify(sample))
return sample, target
|
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] |
Randomly generate an algebra simplify dataset sample.
Given an input expression, produce the simplified expression.
Args:
vlist: Variable list. List of chars that can be used in the expression.
ops: List of ExprOp instances. The allowed operators for the expression.
min_depth: Expression trees will not have a smaller depth than this. 0 means
there is just a variable. 1 means there is one operation.
max_depth: Expression trees will not have a larger depth than this. To make
all trees have the same depth, set this equal to `min_depth`.
Returns:
sample: String representation of the input.
target: String representation of the solution.
|
[
"Randomly",
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"simplify",
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"sample",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic_math.py#L277-L299
|
train
|
Generates an algebra simplify dataset sample.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(1175 - 1125) + chr(0b110000 + 0o0) + chr(2515 - 2464), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(49) + chr(0b100011 + 0o20) + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1466 - 1416) + '\x34' + chr(0b101011 + 0o14), 0b1000), ehT0Px3KOsy9('\x30' + chr(4921 - 4810) + chr(2486 - 2435) + '\066' + '\067', 0b1000), ehT0Px3KOsy9(chr(2068 - 2020) + '\157' + '\x32' + chr(2643 - 2588) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x31' + chr(0b101011 + 0o11), 56225 - 56217), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + chr(0b110010) + chr(49) + chr(427 - 372), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1315 - 1264) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001 + 0o146) + chr(0b11000 + 0o31) + chr(0b11111 + 0o23), 0o10), ehT0Px3KOsy9(chr(48) + chr(11308 - 11197) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(355 - 300) + chr(0b11100 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(618 - 570) + chr(0b11000 + 0o127) + chr(49) + chr(0b10 + 0o62) + '\061', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b110111) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b1000 + 0o57) + '\064', 0o10), ehT0Px3KOsy9(chr(2246 - 2198) + '\x6f' + chr(0b10010 + 0o45) + chr(2156 - 2105), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\066' + chr(2168 - 2116), 2232 - 2224), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100111 + 0o12) + '\065' + chr(0b110101), 60334 - 60326), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(48) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100001 + 0o21) + '\061', 0o10), ehT0Px3KOsy9(chr(1130 - 1082) + '\x6f' + chr(232 - 181) + chr(0b0 + 0o61), 0o10), ehT0Px3KOsy9(chr(2246 - 2198) + chr(0b1011111 + 0o20) + chr(0b11100 + 0o25) + '\x32' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(869 - 820) + chr(0b110000) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100111 + 0o13) + chr(0b100111 + 0o12) + chr(0b11100 + 0o27), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + '\061' + chr(0b110 + 0o57) + '\062', 0o10), ehT0Px3KOsy9(chr(83 - 35) + '\157' + chr(1744 - 1689) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(9535 - 9424) + '\x35' + chr(0b110101 + 0o1), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + '\x31' + chr(2388 - 2335) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110101), 42795 - 42787), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + chr(57 - 7) + '\064' + chr(0b11100 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(49) + chr(0b110001) + chr(255 - 200), 32329 - 32321), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(844 - 733) + chr(51) + chr(0b101100 + 0o11) + chr(0b101 + 0o53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(48) + chr(0b110011), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110110) + '\067', 0b1000), ehT0Px3KOsy9(chr(216 - 168) + '\x6f' + chr(0b110011) + chr(329 - 281) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(727 - 679) + '\157' + chr(0b110011) + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(1636 - 1585) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101010 + 0o10) + chr(0b100100 + 0o21) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(438 - 390) + chr(4971 - 4860) + '\064' + chr(0b1100 + 0o50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(2230 - 2179) + chr(1838 - 1789), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(53) + chr(0b1010 + 0o54), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + chr(290 - 242), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xad'), chr(100) + '\145' + chr(3285 - 3186) + chr(2712 - 2601) + chr(100) + chr(528 - 427))(chr(0b100000 + 0o125) + chr(0b1110100) + chr(0b110110 + 0o60) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def tNfOMV8HoA2o(cDNokUnR7MCJ, _nu2um5Q5WJf, SENJvPRDnSlL, U9fr9lFGWX80):
UEys4_lSwsID = drxw09AdRdci.randrange(SENJvPRDnSlL, U9fr9lFGWX80 + ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 8))
uI2evTH5km5q = aLl18m884oms(UEys4_lSwsID, cDNokUnR7MCJ, _nu2um5Q5WJf)
aBu4gMMQp6Jg = M8_cKLkHVB2V(uI2evTH5km5q)
GR1581dR5rDS = KBStqstqOKEq(WKR5EXMnS6hY.simplify(aBu4gMMQp6Jg))
return (aBu4gMMQp6Jg, GR1581dR5rDS)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic_math.py
|
generate_calculus_integrate_sample
|
def generate_calculus_integrate_sample(vlist, ops, min_depth, max_depth,
functions):
"""Randomly generate a symbolic integral dataset sample.
Given an input expression, produce the indefinite integral.
Args:
vlist: Variable list. List of chars that can be used in the expression.
ops: List of ExprOp instances. The allowed operators for the expression.
min_depth: Expression trees will not have a smaller depth than this. 0 means
there is just a variable. 1 means there is one operation.
max_depth: Expression trees will not have a larger depth than this. To make
all trees have the same depth, set this equal to `min_depth`.
functions: Defines special functions. A dict mapping human readable string
names, like "log", "exp", "sin", "cos", etc., to single chars. Each
function gets a unique token, like "L" for "log".
Returns:
sample: String representation of the input. Will be of the form
'var:expression'.
target: String representation of the solution.
"""
var_index = random.randrange(len(vlist))
var = vlist[var_index]
consts = vlist[:var_index] + vlist[var_index + 1:]
depth = random.randrange(min_depth, max_depth + 1)
expr = random_expr_with_required_var(depth, var, consts, ops)
expr_str = str(expr)
sample = var + ":" + expr_str
target = format_sympy_expr(
sympy.integrate(expr_str, sympy.Symbol(var)), functions=functions)
return sample, target
|
python
|
def generate_calculus_integrate_sample(vlist, ops, min_depth, max_depth,
functions):
"""Randomly generate a symbolic integral dataset sample.
Given an input expression, produce the indefinite integral.
Args:
vlist: Variable list. List of chars that can be used in the expression.
ops: List of ExprOp instances. The allowed operators for the expression.
min_depth: Expression trees will not have a smaller depth than this. 0 means
there is just a variable. 1 means there is one operation.
max_depth: Expression trees will not have a larger depth than this. To make
all trees have the same depth, set this equal to `min_depth`.
functions: Defines special functions. A dict mapping human readable string
names, like "log", "exp", "sin", "cos", etc., to single chars. Each
function gets a unique token, like "L" for "log".
Returns:
sample: String representation of the input. Will be of the form
'var:expression'.
target: String representation of the solution.
"""
var_index = random.randrange(len(vlist))
var = vlist[var_index]
consts = vlist[:var_index] + vlist[var_index + 1:]
depth = random.randrange(min_depth, max_depth + 1)
expr = random_expr_with_required_var(depth, var, consts, ops)
expr_str = str(expr)
sample = var + ":" + expr_str
target = format_sympy_expr(
sympy.integrate(expr_str, sympy.Symbol(var)), functions=functions)
return sample, target
|
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] |
Randomly generate a symbolic integral dataset sample.
Given an input expression, produce the indefinite integral.
Args:
vlist: Variable list. List of chars that can be used in the expression.
ops: List of ExprOp instances. The allowed operators for the expression.
min_depth: Expression trees will not have a smaller depth than this. 0 means
there is just a variable. 1 means there is one operation.
max_depth: Expression trees will not have a larger depth than this. To make
all trees have the same depth, set this equal to `min_depth`.
functions: Defines special functions. A dict mapping human readable string
names, like "log", "exp", "sin", "cos", etc., to single chars. Each
function gets a unique token, like "L" for "log".
Returns:
sample: String representation of the input. Will be of the form
'var:expression'.
target: String representation of the solution.
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic_math.py#L302-L335
|
train
|
Generates a symbolic integral dataset sample.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x36' + '\067', 44507 - 44499), ehT0Px3KOsy9('\x30' + chr(2289 - 2178) + chr(50) + chr(0b110010), 31553 - 31545), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b111010 + 0o65) + chr(0b110011) + chr(53) + chr(1624 - 1570), 0b1000), ehT0Px3KOsy9(chr(1197 - 1149) + '\x6f' + chr(0b110011) + chr(0b11001 + 0o36) + chr(0b100100 + 0o23), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + '\063' + '\x31' + chr(230 - 177), 65429 - 65421), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(405 - 356) + chr(54) + chr(0b10101 + 0o37), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\067' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(576 - 465) + chr(1876 - 1827) + chr(54) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100 + 0o1) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b110010) + chr(2461 - 2408), 0o10), ehT0Px3KOsy9('\060' + chr(11511 - 11400) + chr(0b110001) + '\x30' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(54) + chr(55), 8), ehT0Px3KOsy9('\x30' + chr(0b110 + 0o151) + chr(0b11000 + 0o32) + chr(0b110000 + 0o3) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7340 - 7229) + chr(0b10000 + 0o43) + chr(0b111 + 0o51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + chr(0b110110) + chr(0b101111 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(549 - 501) + '\x6f' + chr(889 - 839) + '\063' + chr(968 - 918), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110110) + chr(0b110011), 12200 - 12192), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1111 + 0o44) + chr(0b110010) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(645 - 596) + '\x30' + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(3778 - 3667) + chr(0b101110 + 0o5) + chr(1178 - 1127) + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(55) + chr(0b110100), 40926 - 40918), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(0b110111) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b110100) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4576 - 4465) + chr(0b1011 + 0o47) + '\062' + chr(51), 17826 - 17818), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(763 - 713) + chr(51) + '\x33', 47530 - 47522), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2181 - 2131) + chr(2034 - 1979) + chr(2083 - 2032), ord("\x08")), ehT0Px3KOsy9(chr(704 - 656) + chr(0b1101111) + '\063' + chr(0b110011) + chr(49), 1169 - 1161), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x36' + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(611 - 562) + chr(2569 - 2515) + chr(0b100111 + 0o17), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\064' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100000 + 0o23) + '\x30' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1889 - 1841) + chr(111) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6675 - 6564) + chr(0b11100 + 0o25) + '\064' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b110010) + chr(285 - 235), ord("\x08")), ehT0Px3KOsy9(chr(1704 - 1656) + '\157' + chr(2559 - 2508) + '\x36' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b110011 + 0o74) + chr(0b110011) + chr(0b110100) + chr(2038 - 1988), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(49) + chr(0b110101) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + '\064', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(0b1111 + 0o46) + chr(206 - 158), 56922 - 56914)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x19'), chr(0b1100011 + 0o1) + '\145' + '\x63' + chr(4872 - 4761) + chr(0b1100100) + chr(1958 - 1857))('\165' + '\x74' + '\146' + chr(0b101101) + chr(0b110 + 0o62)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def rPbPf0VZSxuR(cDNokUnR7MCJ, _nu2um5Q5WJf, SENJvPRDnSlL, U9fr9lFGWX80, C1R32KxhgJbQ):
O3UtvupPvWTs = drxw09AdRdci.randrange(c2A0yzQpDQB3(cDNokUnR7MCJ))
l38lb8xQZNsE = cDNokUnR7MCJ[O3UtvupPvWTs]
TosUMqQTPBXl = cDNokUnR7MCJ[:O3UtvupPvWTs] + cDNokUnR7MCJ[O3UtvupPvWTs + ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(49), 8):]
UEys4_lSwsID = drxw09AdRdci.randrange(SENJvPRDnSlL, U9fr9lFGWX80 + ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\x31', 8))
uI2evTH5km5q = yY9aQyYE0SZh(UEys4_lSwsID, l38lb8xQZNsE, TosUMqQTPBXl, _nu2um5Q5WJf)
rbeBXL4XsLPq = M8_cKLkHVB2V(uI2evTH5km5q)
aBu4gMMQp6Jg = l38lb8xQZNsE + xafqLlk3kkUe(SXOLrMavuUCe(b'\r'), chr(0b1100100) + chr(101) + chr(7398 - 7299) + chr(2833 - 2722) + chr(100) + '\145')(chr(2406 - 2289) + chr(0b1101 + 0o147) + chr(0b1100110) + '\055' + '\070') + rbeBXL4XsLPq
GR1581dR5rDS = KBStqstqOKEq(WKR5EXMnS6hY.integrate(rbeBXL4XsLPq, WKR5EXMnS6hY.Symbol(l38lb8xQZNsE)), functions=C1R32KxhgJbQ)
return (aBu4gMMQp6Jg, GR1581dR5rDS)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic_math.py
|
math_dataset_init
|
def math_dataset_init(alphabet_size=26, digits=None, functions=None):
"""Initializes required objects to generate symbolic math datasets.
Produces token set, ExprOp instances, solve_op dictionary, encoders, and
decoders needed to generate the algebra inverse dataset.
Args:
alphabet_size: How many possible variables there are. Max 52.
digits: How many numerical digits to encode as tokens, "0" through
str(digits-1), or None to encode no digits.
functions: Defines special functions. A dict mapping human readable string
names, like "log", "exp", "sin", "cos", etc., to single chars. Each
function gets a unique token, like "L" for "log".
WARNING, Make sure these tokens do not conflict with the list of
possible variable names.
Returns:
AlgebraConfig instance holding all the objects listed above.
Raises:
ValueError: If `alphabet_size` is not in range [2, 52].
"""
ops_list = ["+", "-", "*", "/"]
ops = {
"+": ExprOp("+", 0, True),
"-": ExprOp("-", 0, False),
"*": ExprOp("*", 1, True),
"/": ExprOp("/", 1, False)
}
solve_ops = {
"+l": lambda l, r, to: (l, ExprNode(to, r, ops["-"])),
"+r": lambda l, r, to: (r, ExprNode(to, l, ops["-"])),
"-l": lambda l, r, to: (l, ExprNode(to, r, ops["+"])),
"-r": lambda l, r, to: (r, ExprNode(l, to, ops["-"])),
"*l": lambda l, r, to: (l, ExprNode(to, r, ops["/"])),
"*r": lambda l, r, to: (r, ExprNode(to, l, ops["/"])),
"/l": lambda l, r, to: (l, ExprNode(to, r, ops["*"])),
"/r": lambda l, r, to: (r, ExprNode(l, to, ops["/"])),
}
alphabet = (
[six.int2byte(ord("a") + c).decode("utf-8") for c in range(26)] +
[six.int2byte(ord("A") + c).decode("utf-8") for c in range(26)])
if alphabet_size > 52:
raise ValueError(
"alphabet_size cannot be greater than 52. Got %s." % alphabet_size)
if alphabet_size < 2:
raise ValueError(
"alphabet_size cannot be less than 2. Got %s." % alphabet_size)
if digits is not None and not 1 <= digits <= 10:
raise ValueError("digits cannot must be between 1 and 10. Got %s." % digits)
vlist = alphabet[:alphabet_size]
if digits is not None:
dlist = [str(d) for d in range(digits)]
else:
dlist = []
if functions is None:
functions = {}
flist = sorted(functions.values())
pad = "_"
tokens = [pad] + [":", "(", ")", "="] + ops_list + vlist + dlist + flist
if len(tokens) != len(set(tokens)):
raise ValueError("Duplicate token. Tokens: %s" % tokens)
token_map = dict([(t, i) for i, t in enumerate(tokens)])
def int_encoder(sequence):
return [token_map[s] for s in sequence]
def int_decoder(tensor_1d):
return "".join([tokens[i] for i in tensor_1d])
return AlgebraConfig(
vlist=vlist,
dlist=dlist,
flist=flist,
functions=functions,
ops=ops,
solve_ops=solve_ops,
int_encoder=int_encoder,
int_decoder=int_decoder)
|
python
|
def math_dataset_init(alphabet_size=26, digits=None, functions=None):
"""Initializes required objects to generate symbolic math datasets.
Produces token set, ExprOp instances, solve_op dictionary, encoders, and
decoders needed to generate the algebra inverse dataset.
Args:
alphabet_size: How many possible variables there are. Max 52.
digits: How many numerical digits to encode as tokens, "0" through
str(digits-1), or None to encode no digits.
functions: Defines special functions. A dict mapping human readable string
names, like "log", "exp", "sin", "cos", etc., to single chars. Each
function gets a unique token, like "L" for "log".
WARNING, Make sure these tokens do not conflict with the list of
possible variable names.
Returns:
AlgebraConfig instance holding all the objects listed above.
Raises:
ValueError: If `alphabet_size` is not in range [2, 52].
"""
ops_list = ["+", "-", "*", "/"]
ops = {
"+": ExprOp("+", 0, True),
"-": ExprOp("-", 0, False),
"*": ExprOp("*", 1, True),
"/": ExprOp("/", 1, False)
}
solve_ops = {
"+l": lambda l, r, to: (l, ExprNode(to, r, ops["-"])),
"+r": lambda l, r, to: (r, ExprNode(to, l, ops["-"])),
"-l": lambda l, r, to: (l, ExprNode(to, r, ops["+"])),
"-r": lambda l, r, to: (r, ExprNode(l, to, ops["-"])),
"*l": lambda l, r, to: (l, ExprNode(to, r, ops["/"])),
"*r": lambda l, r, to: (r, ExprNode(to, l, ops["/"])),
"/l": lambda l, r, to: (l, ExprNode(to, r, ops["*"])),
"/r": lambda l, r, to: (r, ExprNode(l, to, ops["/"])),
}
alphabet = (
[six.int2byte(ord("a") + c).decode("utf-8") for c in range(26)] +
[six.int2byte(ord("A") + c).decode("utf-8") for c in range(26)])
if alphabet_size > 52:
raise ValueError(
"alphabet_size cannot be greater than 52. Got %s." % alphabet_size)
if alphabet_size < 2:
raise ValueError(
"alphabet_size cannot be less than 2. Got %s." % alphabet_size)
if digits is not None and not 1 <= digits <= 10:
raise ValueError("digits cannot must be between 1 and 10. Got %s." % digits)
vlist = alphabet[:alphabet_size]
if digits is not None:
dlist = [str(d) for d in range(digits)]
else:
dlist = []
if functions is None:
functions = {}
flist = sorted(functions.values())
pad = "_"
tokens = [pad] + [":", "(", ")", "="] + ops_list + vlist + dlist + flist
if len(tokens) != len(set(tokens)):
raise ValueError("Duplicate token. Tokens: %s" % tokens)
token_map = dict([(t, i) for i, t in enumerate(tokens)])
def int_encoder(sequence):
return [token_map[s] for s in sequence]
def int_decoder(tensor_1d):
return "".join([tokens[i] for i in tensor_1d])
return AlgebraConfig(
vlist=vlist,
dlist=dlist,
flist=flist,
functions=functions,
ops=ops,
solve_ops=solve_ops,
int_encoder=int_encoder,
int_decoder=int_decoder)
|
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] |
Initializes required objects to generate symbolic math datasets.
Produces token set, ExprOp instances, solve_op dictionary, encoders, and
decoders needed to generate the algebra inverse dataset.
Args:
alphabet_size: How many possible variables there are. Max 52.
digits: How many numerical digits to encode as tokens, "0" through
str(digits-1), or None to encode no digits.
functions: Defines special functions. A dict mapping human readable string
names, like "log", "exp", "sin", "cos", etc., to single chars. Each
function gets a unique token, like "L" for "log".
WARNING, Make sure these tokens do not conflict with the list of
possible variable names.
Returns:
AlgebraConfig instance holding all the objects listed above.
Raises:
ValueError: If `alphabet_size` is not in range [2, 52].
|
[
"Initializes",
"required",
"objects",
"to",
"generate",
"symbolic",
"math",
"datasets",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic_math.py#L358-L436
|
train
|
Initializes the internal state of the symbolic math dataset.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1010110 + 0o31) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1790 - 1742) + chr(1152 - 1041) + '\062' + chr(0b110001) + chr(55), 5870 - 5862), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(6431 - 6320) + '\062' + chr(0b110111) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(49) + chr(0b10 + 0o63), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010010 + 0o35) + '\x31' + chr(48) + chr(49), 27462 - 27454), ehT0Px3KOsy9(chr(983 - 935) + '\157' + '\x32' + chr(52) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(2350 - 2239) + '\x33' + chr(0b110011) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1541 - 1492) + chr(0b110101) + '\064', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\x36' + '\x32', 43428 - 43420), ehT0Px3KOsy9(chr(48) + chr(111) + chr(545 - 494) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(0b110010) + chr(0b101001 + 0o12) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\060' + chr(2270 - 2222), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(532 - 421) + chr(0b110010) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(861 - 813) + chr(0b1101101 + 0o2) + '\x33' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1110 + 0o43) + chr(0b110001) + chr(0b10011 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10010 + 0o41) + chr(1938 - 1888) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b10010 + 0o42) + chr(267 - 214), 48974 - 48966), ehT0Px3KOsy9('\060' + '\x6f' + chr(2499 - 2448) + chr(0b110100) + chr(0b1 + 0o64), 29328 - 29320), ehT0Px3KOsy9(chr(268 - 220) + chr(111) + chr(0b101 + 0o56) + chr(51) + '\062', 42640 - 42632), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\x31' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(559 - 511) + '\x6f' + '\x36' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(886 - 836) + chr(52) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(514 - 466) + chr(0b1000001 + 0o56) + '\x33' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\061' + chr(119 - 65) + chr(0b110011), 9368 - 9360), ehT0Px3KOsy9(chr(746 - 698) + chr(111) + chr(0b101010 + 0o11) + chr(455 - 406) + chr(0b1101 + 0o45), 42766 - 42758), ehT0Px3KOsy9('\060' + chr(1305 - 1194) + chr(1764 - 1715) + '\065', 8), ehT0Px3KOsy9('\060' + chr(11326 - 11215) + chr(0b110011) + chr(51) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b100100 + 0o20) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(0b10 + 0o61) + '\x37' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b110010) + chr(0b110000) + '\x30', 26123 - 26115), ehT0Px3KOsy9('\x30' + chr(0b1010010 + 0o35) + chr(1103 - 1054) + chr(0b11011 + 0o25) + chr(55), 2160 - 2152), ehT0Px3KOsy9(chr(48) + chr(4536 - 4425) + chr(51) + chr(51) + chr(925 - 877), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(154 - 102) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100001 + 0o20) + chr(0b110001) + '\063', 22736 - 22728), ehT0Px3KOsy9(chr(0b110000) + chr(0b10001 + 0o136) + '\x31' + '\060', 0o10), ehT0Px3KOsy9(chr(323 - 275) + chr(111) + chr(51) + chr(55) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b110110) + chr(282 - 234), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(380 - 332) + chr(0b1101111) + chr(0b110101) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'/'), chr(7150 - 7050) + chr(0b10001 + 0o124) + chr(2381 - 2282) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(8103 - 7986) + chr(0b1110100) + '\x66' + chr(45) + chr(0b11 + 0o65)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Jo73bQiRAn6u(Xp0zaAcnRRfg=ehT0Px3KOsy9(chr(1344 - 1296) + chr(0b1010011 + 0o34) + chr(1823 - 1772) + '\x32', 8), MkjwSiNiIh4W=None, C1R32KxhgJbQ=None):
rtLND_lZ2X1Z = [xafqLlk3kkUe(SXOLrMavuUCe(b'*'), chr(100) + '\x65' + '\143' + chr(2848 - 2737) + chr(2356 - 2256) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b100110 + 0o7) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b','), '\144' + chr(0b1100101) + chr(0b1100011) + chr(4223 - 4112) + chr(9150 - 9050) + chr(3217 - 3116))('\165' + chr(0b1001000 + 0o54) + '\x66' + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'+'), chr(100) + '\x65' + '\143' + chr(9134 - 9023) + '\x64' + chr(0b111000 + 0o55))(chr(117) + '\164' + chr(0b100110 + 0o100) + chr(45) + chr(2138 - 2082)), xafqLlk3kkUe(SXOLrMavuUCe(b'.'), chr(100) + chr(0b1011101 + 0o10) + '\143' + chr(111) + '\144' + chr(0b1100101))('\x75' + chr(9576 - 9460) + chr(0b1100110) + '\x2d' + chr(56))]
_nu2um5Q5WJf = {xafqLlk3kkUe(SXOLrMavuUCe(b'*'), chr(0b1001110 + 0o26) + '\145' + chr(0b111001 + 0o52) + chr(0b1010110 + 0o31) + chr(0b1100100) + chr(5706 - 5605))('\165' + '\164' + chr(102) + '\055' + '\070'): GZPI9yS0LE1I(xafqLlk3kkUe(SXOLrMavuUCe(b'*'), chr(903 - 803) + '\145' + chr(0b1100011) + chr(111) + '\144' + chr(0b1100101))(chr(117) + chr(116) + chr(9469 - 9367) + chr(45) + '\070'), ehT0Px3KOsy9('\060' + '\157' + chr(0b1 + 0o57), 8), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(353 - 304), 8)), xafqLlk3kkUe(SXOLrMavuUCe(b','), '\144' + chr(2266 - 2165) + '\143' + chr(111) + chr(100) + '\145')(chr(0b1110101) + '\164' + chr(0b1100110) + '\x2d' + chr(0b100101 + 0o23)): GZPI9yS0LE1I(xafqLlk3kkUe(SXOLrMavuUCe(b','), '\144' + chr(101) + chr(0b1010100 + 0o17) + chr(111) + '\x64' + '\x65')('\165' + chr(326 - 210) + chr(0b1100110) + '\055' + chr(0b111000)), ehT0Px3KOsy9(chr(1724 - 1676) + chr(1239 - 1128) + '\x30', 8), ehT0Px3KOsy9(chr(316 - 268) + '\157' + chr(0b110000), 8)), xafqLlk3kkUe(SXOLrMavuUCe(b'+'), chr(100) + chr(101) + chr(0b11 + 0o140) + chr(1167 - 1056) + chr(5423 - 5323) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b111000)): GZPI9yS0LE1I(xafqLlk3kkUe(SXOLrMavuUCe(b'+'), chr(8349 - 8249) + '\145' + chr(3620 - 3521) + chr(111) + '\x64' + chr(7550 - 7449))(chr(0b1110101) + chr(12818 - 12702) + chr(6791 - 6689) + '\x2d' + chr(56)), ehT0Px3KOsy9(chr(2050 - 2002) + '\157' + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(0b111110 + 0o61) + chr(0b11010 + 0o27), 8)), xafqLlk3kkUe(SXOLrMavuUCe(b'.'), '\x64' + chr(101) + chr(0b1100011) + chr(111) + '\144' + chr(0b100000 + 0o105))(chr(9819 - 9702) + chr(0b11010 + 0o132) + '\x66' + chr(45) + '\070'): GZPI9yS0LE1I(xafqLlk3kkUe(SXOLrMavuUCe(b'.'), '\144' + '\145' + '\143' + '\x6f' + '\x64' + '\x65')(chr(0b110111 + 0o76) + chr(0b110000 + 0o104) + '\x66' + '\055' + chr(2119 - 2063)), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1001001 + 0o46) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(48), 8))}
zd2_K8SEGtuV = {xafqLlk3kkUe(SXOLrMavuUCe(b'*\xe3'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b11 + 0o154) + '\x64' + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + '\x2d' + chr(0b100000 + 0o30)): lambda aLoH_Mt0dzwO, JWG5qApaeJkp, FDVEvax7cqKh: (aLoH_Mt0dzwO, MX_oDU8Fv4tE(FDVEvax7cqKh, JWG5qApaeJkp, _nu2um5Q5WJf[xafqLlk3kkUe(SXOLrMavuUCe(b','), chr(0b101010 + 0o72) + chr(0b1011110 + 0o7) + '\x63' + chr(0b1101000 + 0o7) + chr(8227 - 8127) + chr(6541 - 6440))('\x75' + chr(116) + chr(102) + '\x2d' + chr(0b111000))])), xafqLlk3kkUe(SXOLrMavuUCe(b'*\xfd'), chr(8256 - 8156) + '\x65' + chr(696 - 597) + chr(111) + chr(9934 - 9834) + '\145')('\x75' + chr(0b101000 + 0o114) + '\x66' + chr(1278 - 1233) + chr(56)): lambda aLoH_Mt0dzwO, JWG5qApaeJkp, FDVEvax7cqKh: (JWG5qApaeJkp, MX_oDU8Fv4tE(FDVEvax7cqKh, aLoH_Mt0dzwO, _nu2um5Q5WJf[xafqLlk3kkUe(SXOLrMavuUCe(b','), chr(0b1100100) + '\x65' + chr(99) + chr(111) + chr(0b1100100) + chr(0b110000 + 0o65))(chr(117) + chr(0b1010100 + 0o40) + chr(0b111100 + 0o52) + chr(0b101101) + chr(0b100100 + 0o24))])), xafqLlk3kkUe(SXOLrMavuUCe(b',\xe3'), '\144' + chr(4874 - 4773) + '\143' + '\157' + chr(0b1100100) + chr(0b1010 + 0o133))('\165' + chr(0b1011000 + 0o34) + chr(102) + '\x2d' + chr(1315 - 1259)): lambda aLoH_Mt0dzwO, JWG5qApaeJkp, FDVEvax7cqKh: (aLoH_Mt0dzwO, MX_oDU8Fv4tE(FDVEvax7cqKh, JWG5qApaeJkp, _nu2um5Q5WJf[xafqLlk3kkUe(SXOLrMavuUCe(b'*'), '\144' + chr(0b101011 + 0o72) + chr(5072 - 4973) + chr(0b1101111) + chr(0b1100100) + chr(0b100010 + 0o103))(chr(9499 - 9382) + chr(116) + '\x66' + chr(0b101101) + chr(0b110111 + 0o1))])), xafqLlk3kkUe(SXOLrMavuUCe(b',\xfd'), chr(0b1001101 + 0o27) + '\x65' + chr(99) + chr(7211 - 7100) + '\144' + chr(6759 - 6658))(chr(0b100000 + 0o125) + chr(0b101011 + 0o111) + chr(7940 - 7838) + chr(0b100010 + 0o13) + chr(2553 - 2497)): lambda aLoH_Mt0dzwO, JWG5qApaeJkp, FDVEvax7cqKh: (JWG5qApaeJkp, MX_oDU8Fv4tE(aLoH_Mt0dzwO, FDVEvax7cqKh, _nu2um5Q5WJf[xafqLlk3kkUe(SXOLrMavuUCe(b','), '\144' + chr(101) + chr(4253 - 4154) + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + chr(116) + chr(4178 - 4076) + chr(0b101101) + chr(56))])), xafqLlk3kkUe(SXOLrMavuUCe(b'+\xe3'), '\144' + chr(0b1100101) + '\143' + chr(3644 - 3533) + '\144' + '\x65')('\165' + chr(0b1101011 + 0o11) + '\146' + '\x2d' + chr(0b100111 + 0o21)): lambda aLoH_Mt0dzwO, JWG5qApaeJkp, FDVEvax7cqKh: (aLoH_Mt0dzwO, MX_oDU8Fv4tE(FDVEvax7cqKh, JWG5qApaeJkp, _nu2um5Q5WJf[xafqLlk3kkUe(SXOLrMavuUCe(b'.'), chr(0b11011 + 0o111) + chr(0b101110 + 0o67) + chr(0b1100011) + chr(111) + '\144' + '\x65')(chr(0b1100000 + 0o25) + chr(0b10000 + 0o144) + '\146' + chr(0b101101) + '\070')])), xafqLlk3kkUe(SXOLrMavuUCe(b'+\xfd'), chr(396 - 296) + chr(0b11000 + 0o115) + chr(99) + chr(0b101010 + 0o105) + chr(7430 - 7330) + chr(0b1100101))('\165' + chr(0b1010001 + 0o43) + chr(0b1100110) + chr(826 - 781) + chr(0b1 + 0o67)): lambda aLoH_Mt0dzwO, JWG5qApaeJkp, FDVEvax7cqKh: (JWG5qApaeJkp, MX_oDU8Fv4tE(FDVEvax7cqKh, aLoH_Mt0dzwO, _nu2um5Q5WJf[xafqLlk3kkUe(SXOLrMavuUCe(b'.'), chr(0b1010111 + 0o15) + chr(4915 - 4814) + chr(0b1100011) + '\157' + '\144' + chr(0b1010010 + 0o23))('\x75' + chr(0b111111 + 0o65) + chr(0b1100110) + chr(46 - 1) + chr(2797 - 2741))])), xafqLlk3kkUe(SXOLrMavuUCe(b'.\xe3'), chr(0b1100100) + chr(0b1000101 + 0o40) + '\x63' + chr(5355 - 5244) + chr(100) + chr(101))('\165' + chr(0b10001 + 0o143) + chr(102) + chr(0b101101) + chr(56)): lambda aLoH_Mt0dzwO, JWG5qApaeJkp, FDVEvax7cqKh: (aLoH_Mt0dzwO, MX_oDU8Fv4tE(FDVEvax7cqKh, JWG5qApaeJkp, _nu2um5Q5WJf[xafqLlk3kkUe(SXOLrMavuUCe(b'+'), chr(0b100 + 0o140) + '\x65' + '\143' + '\x6f' + '\144' + chr(101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(1338 - 1293) + '\x38')])), xafqLlk3kkUe(SXOLrMavuUCe(b'.\xfd'), chr(1127 - 1027) + '\x65' + '\x63' + chr(0b1011100 + 0o23) + '\144' + chr(101))(chr(0b1110101) + '\x74' + chr(7026 - 6924) + chr(0b101101) + '\x38'): lambda aLoH_Mt0dzwO, JWG5qApaeJkp, FDVEvax7cqKh: (JWG5qApaeJkp, MX_oDU8Fv4tE(aLoH_Mt0dzwO, FDVEvax7cqKh, _nu2um5Q5WJf[xafqLlk3kkUe(SXOLrMavuUCe(b'.'), chr(100) + chr(0b1100101) + chr(0b10010 + 0o121) + '\x6f' + chr(0b1100100) + chr(0b101010 + 0o73))(chr(117) + chr(0b1110100) + '\146' + chr(1547 - 1502) + '\x38')]))}
RZN874cEaaNJ = [sYby0kpfssd4.int2byte(Jp8aZ6mjyZZT(xafqLlk3kkUe(SXOLrMavuUCe(b'`'), chr(5216 - 5116) + chr(0b1100101) + chr(0b1001000 + 0o33) + chr(0b1101111) + '\144' + chr(6496 - 6395))('\x75' + chr(1127 - 1011) + chr(0b1011 + 0o133) + chr(0b11110 + 0o17) + '\x38')) + qzn1Ctg9WgNh).decode(xafqLlk3kkUe(SXOLrMavuUCe(b't\xfb\xdb y'), '\x64' + '\145' + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')('\165' + chr(0b1001100 + 0o50) + chr(102) + '\x2d' + '\070')) for qzn1Ctg9WgNh in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(920 - 869) + chr(0b110010), 8))] + [sYby0kpfssd4.int2byte(Jp8aZ6mjyZZT(xafqLlk3kkUe(SXOLrMavuUCe(b'@'), '\144' + '\145' + '\x63' + '\x6f' + chr(0b1100100) + '\145')('\165' + chr(116) + '\146' + chr(368 - 323) + chr(0b111000))) + qzn1Ctg9WgNh).decode(xafqLlk3kkUe(SXOLrMavuUCe(b't\xfb\xdb y'), '\144' + chr(0b1010011 + 0o22) + '\x63' + chr(111) + '\144' + chr(1573 - 1472))('\x75' + chr(0b1110100) + '\x66' + '\x2d' + '\070')) for qzn1Ctg9WgNh in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11000 + 0o33) + chr(0b110010), 8))]
if Xp0zaAcnRRfg > ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(54) + '\064', 8):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'`\xe3\xcde \xc1\xbd\x18\xedm\xf1:s:)\xb5\x0b\x8b\xb5\xfa\x14\xc6|S\xad\x7f\xbe\x85s\x9e\xf2g\xac\x8b*f\xd95)\xde!\xc8\xd2ya\x86\xabB'), chr(100) + chr(0b1011001 + 0o14) + '\x63' + chr(111) + '\x64' + chr(3256 - 3155))('\165' + '\164' + '\x66' + chr(0b101101) + chr(56)) % Xp0zaAcnRRfg)
if Xp0zaAcnRRfg < ehT0Px3KOsy9(chr(1313 - 1265) + chr(111) + '\062', 0b1000):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b"`\xe3\xcde \xc1\xbd\x18\xedm\xf1:s:)\xb5\x0b\x8b\xb5\xfa\x14\xc6|S\xa6h\xa8\x97'\x8f\xe8&\xb6\xc3y&\xd9Gt\x84!\xaa\xce#"), chr(0b1100100) + '\x65' + chr(99) + chr(128 - 17) + chr(100) + chr(101))(chr(0b0 + 0o165) + chr(0b1110100) + chr(0b10110 + 0o120) + '\x2d' + chr(0b1101 + 0o53)) % Xp0zaAcnRRfg)
if MkjwSiNiIh4W is not None and (not ehT0Px3KOsy9('\x30' + '\157' + chr(49), 8) <= MkjwSiNiIh4W <= ehT0Px3KOsy9(chr(2281 - 2233) + '\x6f' + chr(49) + chr(0b100011 + 0o17), 32942 - 32934)):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b"e\xe6\xdad5\xd0\xf8\x0f\xd3p\xf6/b:'\xa1\x16\x91\xfa\xecQ\x84{\x16\xbez\xbe\x81i\xdb\xb1g\xb9\x8d/(\xc805\xd0F\xe0\xc9-d\xd0\xf6"), chr(0b1100100) + chr(101) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1011110 + 0o27) + '\x74' + '\x66' + chr(1444 - 1399) + chr(56)) % MkjwSiNiIh4W)
cDNokUnR7MCJ = RZN874cEaaNJ[:Xp0zaAcnRRfg]
if MkjwSiNiIh4W is not None:
NdJkVQCcns3t = [M8_cKLkHVB2V(pd3lxn9vqWxp) for pd3lxn9vqWxp in vQr8gNKaIaWE(MkjwSiNiIh4W)]
else:
NdJkVQCcns3t = []
if C1R32KxhgJbQ is None:
C1R32KxhgJbQ = {}
Bu0pqYkoM7IR = vUlqIvNSaRMa(C1R32KxhgJbQ.SPnCNu54H1db())
jq0C7ttmqXPS = xafqLlk3kkUe(SXOLrMavuUCe(b'^'), '\144' + chr(3467 - 3366) + chr(0b111000 + 0o53) + chr(111) + '\x64' + chr(101))(chr(0b1110101) + chr(0b1000001 + 0o63) + chr(0b111100 + 0o52) + chr(0b10100 + 0o31) + chr(0b111000))
Sz7tXxaCGqJ1 = [jq0C7ttmqXPS] + [xafqLlk3kkUe(SXOLrMavuUCe(b';'), chr(0b1100100) + chr(101) + '\143' + chr(111) + chr(6164 - 6064) + chr(0b111011 + 0o52))(chr(0b1110101) + chr(116) + '\x66' + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b')'), '\144' + chr(101) + chr(0b1100011) + '\157' + '\x64' + '\145')('\x75' + chr(9228 - 9112) + chr(0b101001 + 0o75) + chr(0b110 + 0o47) + chr(1715 - 1659)), xafqLlk3kkUe(SXOLrMavuUCe(b'('), chr(0b1011101 + 0o7) + chr(0b100111 + 0o76) + chr(0b11111 + 0o104) + chr(0b1101111) + chr(4271 - 4171) + chr(101))(chr(4361 - 4244) + '\x74' + chr(102) + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'<'), '\x64' + chr(8207 - 8106) + '\143' + chr(111) + '\x64' + chr(101))(chr(8575 - 8458) + chr(116) + chr(102) + chr(157 - 112) + chr(56))] + rtLND_lZ2X1Z + cDNokUnR7MCJ + NdJkVQCcns3t + Bu0pqYkoM7IR
if c2A0yzQpDQB3(Sz7tXxaCGqJ1) != c2A0yzQpDQB3(MVEN8G6CxlvR(Sz7tXxaCGqJ1)):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'E\xfa\xcda(\xc0\xb9\x18\xd7>\xec/}\x7f$\xfaE\xb1\xb5\xe5Q\xcajI\xea(\xa8'), '\144' + chr(0b10101 + 0o120) + chr(5122 - 5023) + '\157' + chr(100) + '\145')('\165' + chr(8874 - 8758) + '\146' + '\055' + chr(56)) % Sz7tXxaCGqJ1)
JqmXf1_CnK1y = wLqBDw8l0eIm([(YeT3l7JgTbWR, WVxHKyX45z_L) for (WVxHKyX45z_L, YeT3l7JgTbWR) in YlkZvXL8qwsX(Sz7tXxaCGqJ1)])
def LQUG_Q0ljxAH(blgtMYjOOQgD):
return [JqmXf1_CnK1y[vGrByMSYMp9h] for vGrByMSYMp9h in blgtMYjOOQgD]
def Yb_wVEZpSYV3(dty8k0yJnApL):
return xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b''), '\144' + chr(0b1001111 + 0o26) + chr(99) + chr(111) + '\144' + chr(0b11001 + 0o114))(chr(0b111001 + 0o74) + chr(0b1000011 + 0o61) + chr(0b1100110) + chr(45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'k\xe0\xd4c'), chr(0b1100100) + chr(0b1100101) + chr(3072 - 2973) + '\x6f' + chr(100) + chr(0b1000110 + 0o37))(chr(11272 - 11155) + chr(0b111111 + 0o65) + chr(4457 - 4355) + chr(1766 - 1721) + chr(56)))([Sz7tXxaCGqJ1[WVxHKyX45z_L] for WVxHKyX45z_L in dty8k0yJnApL])
return sNTVGYfqRT_t(vlist=cDNokUnR7MCJ, dlist=NdJkVQCcns3t, flist=Bu0pqYkoM7IR, functions=C1R32KxhgJbQ, ops=_nu2um5Q5WJf, solve_ops=zd2_K8SEGtuV, int_encoder=LQUG_Q0ljxAH, int_decoder=Yb_wVEZpSYV3)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic_math.py
|
algebra_inverse
|
def algebra_inverse(alphabet_size=26, min_depth=0, max_depth=2,
nbr_cases=10000):
"""Generate the algebra inverse dataset.
Each sample is a symbolic math equation involving unknown variables. The
task is to solve for the given variable. The target is the resulting
expression.
Args:
alphabet_size: How many possible variables there are. Max 52.
min_depth: Minimum depth of the expression trees on both sides of the
equals sign in the equation.
max_depth: Maximum depth of the expression trees on both sides of the
equals sign in the equation.
nbr_cases: The number of cases to generate.
Yields:
A dictionary {"inputs": input-list, "targets": target-list} where
input-list are the tokens encoding the variable to solve for and the math
equation, and target-list is a list of tokens encoding the resulting math
expression after solving for the variable.
Raises:
ValueError: If `max_depth` < `min_depth`.
"""
if max_depth < min_depth:
raise ValueError("max_depth must be greater than or equal to min_depth. "
"Got max_depth=%s, min_depth=%s" % (max_depth, min_depth))
alg_cfg = math_dataset_init(alphabet_size)
for _ in range(nbr_cases):
sample, target = generate_algebra_inverse_sample(
alg_cfg.vlist,
list(alg_cfg.ops.values()), alg_cfg.solve_ops, min_depth, max_depth)
yield {
"inputs": alg_cfg.int_encoder(sample),
"targets": alg_cfg.int_encoder(target)
}
|
python
|
def algebra_inverse(alphabet_size=26, min_depth=0, max_depth=2,
nbr_cases=10000):
"""Generate the algebra inverse dataset.
Each sample is a symbolic math equation involving unknown variables. The
task is to solve for the given variable. The target is the resulting
expression.
Args:
alphabet_size: How many possible variables there are. Max 52.
min_depth: Minimum depth of the expression trees on both sides of the
equals sign in the equation.
max_depth: Maximum depth of the expression trees on both sides of the
equals sign in the equation.
nbr_cases: The number of cases to generate.
Yields:
A dictionary {"inputs": input-list, "targets": target-list} where
input-list are the tokens encoding the variable to solve for and the math
equation, and target-list is a list of tokens encoding the resulting math
expression after solving for the variable.
Raises:
ValueError: If `max_depth` < `min_depth`.
"""
if max_depth < min_depth:
raise ValueError("max_depth must be greater than or equal to min_depth. "
"Got max_depth=%s, min_depth=%s" % (max_depth, min_depth))
alg_cfg = math_dataset_init(alphabet_size)
for _ in range(nbr_cases):
sample, target = generate_algebra_inverse_sample(
alg_cfg.vlist,
list(alg_cfg.ops.values()), alg_cfg.solve_ops, min_depth, max_depth)
yield {
"inputs": alg_cfg.int_encoder(sample),
"targets": alg_cfg.int_encoder(target)
}
|
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":",
"sample",
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"=",
"generate_algebra_inverse_sample",
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"alg_cfg",
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"vlist",
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".",
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",",
"\"targets\"",
":",
"alg_cfg",
".",
"int_encoder",
"(",
"target",
")",
"}"
] |
Generate the algebra inverse dataset.
Each sample is a symbolic math equation involving unknown variables. The
task is to solve for the given variable. The target is the resulting
expression.
Args:
alphabet_size: How many possible variables there are. Max 52.
min_depth: Minimum depth of the expression trees on both sides of the
equals sign in the equation.
max_depth: Maximum depth of the expression trees on both sides of the
equals sign in the equation.
nbr_cases: The number of cases to generate.
Yields:
A dictionary {"inputs": input-list, "targets": target-list} where
input-list are the tokens encoding the variable to solve for and the math
equation, and target-list is a list of tokens encoding the resulting math
expression after solving for the variable.
Raises:
ValueError: If `max_depth` < `min_depth`.
|
[
"Generate",
"the",
"algebra",
"inverse",
"dataset",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic_math.py#L439-L477
|
train
|
Generate the algebra inverse dataset.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(55) + chr(2000 - 1947), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\063' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(149 - 98) + '\062' + chr(0b110010), 6698 - 6690), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1000011 + 0o54) + chr(1098 - 1047) + '\x37' + chr(1371 - 1323), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1827 - 1716) + chr(0b10001 + 0o40) + '\x31' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1997 - 1946) + chr(51) + chr(610 - 562), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(656 - 605) + chr(212 - 162) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + chr(1397 - 1343), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b10000 + 0o42) + '\061', 0b1000), ehT0Px3KOsy9(chr(978 - 930) + '\x6f' + chr(647 - 597) + chr(0b100010 + 0o22) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\063' + chr(0b1 + 0o57), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(605 - 554) + chr(0b100 + 0o62) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101110 + 0o3) + '\063' + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101001 + 0o10) + chr(48) + chr(0b100001 + 0o20), 42674 - 42666), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10100 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11010 + 0o27) + chr(50) + chr(49), 0o10), ehT0Px3KOsy9(chr(1798 - 1750) + chr(9647 - 9536) + chr(0b10011 + 0o37) + chr(0b1011 + 0o51) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1079 - 1031) + chr(0b100100 + 0o113) + chr(0b110 + 0o57) + chr(0b110111), 52810 - 52802), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101000 + 0o7) + chr(0b110010) + chr(55) + chr(2001 - 1950), 0o10), ehT0Px3KOsy9(chr(469 - 421) + chr(0b1100111 + 0o10) + chr(51) + chr(75 - 25) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8576 - 8465) + '\064', 47845 - 47837), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + chr(0b110010) + '\060' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b110010) + '\x36', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\062' + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + chr(0b110011) + '\065' + chr(136 - 83), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(0b101110 + 0o6) + chr(210 - 160), 0o10), ehT0Px3KOsy9(chr(409 - 361) + chr(0b1101111) + chr(0b110001) + chr(0b110110) + '\064', 49867 - 49859), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(2356 - 2305) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(597 - 542) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\x32' + '\x32' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(1446 - 1396) + chr(1040 - 986) + '\065', 0o10), ehT0Px3KOsy9(chr(1591 - 1543) + '\x6f' + '\x32' + chr(0b10001 + 0o46) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b110000) + chr(6700 - 6589) + chr(717 - 668) + '\x37' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(48) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b1011 + 0o47) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(2590 - 2479) + chr(0b110001) + chr(0b110101) + chr(310 - 255), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(2273 - 2224) + chr(1571 - 1520) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(439 - 384) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b1110 + 0o44) + '\067' + '\x36', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\065' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3'), '\x64' + chr(0b1000100 + 0o41) + chr(0b101010 + 0o71) + chr(6904 - 6793) + chr(0b100001 + 0o103) + '\145')('\165' + '\164' + chr(102) + chr(0b111 + 0o46) + chr(1752 - 1696)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def IfeirN4kOjzk(Xp0zaAcnRRfg=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101110 + 0o5) + '\x32', 2893 - 2885), SENJvPRDnSlL=ehT0Px3KOsy9(chr(48) + chr(3491 - 3380) + '\060', 8), U9fr9lFGWX80=ehT0Px3KOsy9(chr(0b110000) + chr(2989 - 2878) + chr(0b110010), 0b1000), kKlybqgbD9mO=ehT0Px3KOsy9(chr(1832 - 1784) + chr(0b1101111) + '\062' + '\063' + chr(0b110001 + 0o3) + chr(0b110010) + '\060', 0o10)):
if U9fr9lFGWX80 < SENJvPRDnSlL:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x908\xaa\xa7/\xbd\xa5r\xb9\x845\x85-eab4\x80H\xc9\xb3e\xf7\xb3 \xcdV\x1c~U\xb4\xda\xc9\\\xe5&\x1a;\xd5\x9e\x896\xf2\x95"\xb6\x8ab\xb4\xd4,\x98p1\x06o%\x80B\xda\xae[\xe7\xb3"\x99JI:H\xb8\x95\xd6\x15\xee\x08\x0b?\xc9\xca\x95d\xf7\x8b'), '\144' + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(3208 - 3108) + '\145')('\x75' + chr(0b1110100) + chr(3683 - 3581) + chr(0b101101) + chr(56)) % (U9fr9lFGWX80, SENJvPRDnSlL))
Awttr3kjH0zX = Jo73bQiRAn6u(Xp0zaAcnRRfg)
for VNGQdHSFPrso in vQr8gNKaIaWE(kKlybqgbD9mO):
(aBu4gMMQp6Jg, GR1581dR5rDS) = jMENE2XJs_Xn(Awttr3kjH0zX.vlist, YyaZ4tpXu4lf(Awttr3kjH0zX.ops.SPnCNu54H1db()), Awttr3kjH0zX.solve_ops, SENJvPRDnSlL, U9fr9lFGWX80)
yield {xafqLlk3kkUe(SXOLrMavuUCe(b'\x947\xa2\x8d?\xab'), chr(0b1100100) + '\145' + chr(99) + '\x6f' + '\144' + '\x65')(chr(0b1110101) + chr(0b111101 + 0o67) + chr(0b1100110) + '\x2d' + '\x38'): xafqLlk3kkUe(Awttr3kjH0zX, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\x08\x87\xbf\x14\x89\xe5j\xbb\xdc\x19\xb8'), chr(100) + chr(0b1100101) + chr(9146 - 9047) + chr(0b110001 + 0o76) + '\x64' + chr(0b1100101))('\x75' + chr(0b1110000 + 0o4) + chr(0b1100110) + '\055' + chr(56)))(aBu4gMMQp6Jg), xafqLlk3kkUe(SXOLrMavuUCe(b'\x898\xa0\x9f.\xac\xa6'), chr(0b1110 + 0o126) + '\145' + chr(99) + chr(0b1101111) + '\144' + chr(4029 - 3928))('\165' + '\164' + chr(0b101100 + 0o72) + chr(1429 - 1384) + chr(0b111 + 0o61)): xafqLlk3kkUe(Awttr3kjH0zX, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\x08\x87\xbf\x14\x89\xe5j\xbb\xdc\x19\xb8'), chr(100) + chr(300 - 199) + chr(99) + '\x6f' + chr(0b1001001 + 0o33) + chr(101))('\165' + chr(116) + '\146' + '\x2d' + '\x38'))(GR1581dR5rDS)}
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic_math.py
|
algebra_simplify
|
def algebra_simplify(alphabet_size=26,
min_depth=0,
max_depth=2,
nbr_cases=10000):
"""Generate the algebra simplify dataset.
Each sample is a symbolic math expression involving unknown variables. The
task is to simplify the expression. The target is the resulting expression.
Args:
alphabet_size: How many possible variables there are. Max 52.
min_depth: Minimum depth of the expression trees on both sides of the
equals sign in the equation.
max_depth: Maximum depth of the expression trees on both sides of the
equals sign in the equation.
nbr_cases: The number of cases to generate.
Yields:
A dictionary {"inputs": input-list, "targets": target-list} where
input-list are the tokens encoding the expression to simplify, and
target-list is a list of tokens encoding the resulting math expression after
simplifying.
Raises:
ValueError: If `max_depth` < `min_depth`.
"""
if max_depth < min_depth:
raise ValueError("max_depth must be greater than or equal to min_depth. "
"Got max_depth=%s, min_depth=%s" % (max_depth, min_depth))
alg_cfg = math_dataset_init(alphabet_size, digits=5)
for _ in range(nbr_cases):
sample, target = generate_algebra_simplify_sample(
alg_cfg.vlist, list(alg_cfg.ops.values()), min_depth, max_depth)
yield {
"inputs": alg_cfg.int_encoder(sample),
"targets": alg_cfg.int_encoder(target)
}
|
python
|
def algebra_simplify(alphabet_size=26,
min_depth=0,
max_depth=2,
nbr_cases=10000):
"""Generate the algebra simplify dataset.
Each sample is a symbolic math expression involving unknown variables. The
task is to simplify the expression. The target is the resulting expression.
Args:
alphabet_size: How many possible variables there are. Max 52.
min_depth: Minimum depth of the expression trees on both sides of the
equals sign in the equation.
max_depth: Maximum depth of the expression trees on both sides of the
equals sign in the equation.
nbr_cases: The number of cases to generate.
Yields:
A dictionary {"inputs": input-list, "targets": target-list} where
input-list are the tokens encoding the expression to simplify, and
target-list is a list of tokens encoding the resulting math expression after
simplifying.
Raises:
ValueError: If `max_depth` < `min_depth`.
"""
if max_depth < min_depth:
raise ValueError("max_depth must be greater than or equal to min_depth. "
"Got max_depth=%s, min_depth=%s" % (max_depth, min_depth))
alg_cfg = math_dataset_init(alphabet_size, digits=5)
for _ in range(nbr_cases):
sample, target = generate_algebra_simplify_sample(
alg_cfg.vlist, list(alg_cfg.ops.values()), min_depth, max_depth)
yield {
"inputs": alg_cfg.int_encoder(sample),
"targets": alg_cfg.int_encoder(target)
}
|
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] |
Generate the algebra simplify dataset.
Each sample is a symbolic math expression involving unknown variables. The
task is to simplify the expression. The target is the resulting expression.
Args:
alphabet_size: How many possible variables there are. Max 52.
min_depth: Minimum depth of the expression trees on both sides of the
equals sign in the equation.
max_depth: Maximum depth of the expression trees on both sides of the
equals sign in the equation.
nbr_cases: The number of cases to generate.
Yields:
A dictionary {"inputs": input-list, "targets": target-list} where
input-list are the tokens encoding the expression to simplify, and
target-list is a list of tokens encoding the resulting math expression after
simplifying.
Raises:
ValueError: If `max_depth` < `min_depth`.
|
[
"Generate",
"the",
"algebra",
"simplify",
"dataset",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic_math.py#L480-L517
|
train
|
Generates the algebra simplify dataset.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1393 - 1345) + chr(111) + chr(49) + '\062' + chr(2513 - 2458), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1010 + 0o54) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(577 - 528) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(4168 - 4057) + chr(1923 - 1874) + chr(699 - 650) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1773 - 1722) + chr(2369 - 2316) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1241 - 1191) + chr(0b110100 + 0o1) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2497 - 2446) + chr(0b110010 + 0o4) + chr(48), 14084 - 14076), ehT0Px3KOsy9(chr(1634 - 1586) + chr(4027 - 3916) + chr(1117 - 1063) + chr(1928 - 1880), 0b1000), ehT0Px3KOsy9('\060' + chr(11270 - 11159) + chr(51) + chr(846 - 791), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110011) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\061' + chr(2234 - 2180) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b10011 + 0o37) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1111 + 0o140) + '\x33' + chr(0b110000) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\064' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\x34' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + chr(1911 - 1862) + chr(0b110100) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(135 - 87) + chr(2285 - 2174) + chr(51) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(352 - 299) + chr(0b11000 + 0o34), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(49) + chr(1725 - 1675), 0b1000), ehT0Px3KOsy9(chr(1774 - 1726) + chr(4862 - 4751) + chr(1667 - 1617) + chr(1013 - 960) + chr(54), 0b1000), ehT0Px3KOsy9(chr(121 - 73) + chr(0b1101111) + chr(50) + chr(51) + chr(0b1110 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + chr(0b110010) + chr(0b0 + 0o66) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110110 + 0o0) + chr(0b1111 + 0o46), 0b1000), ehT0Px3KOsy9(chr(1673 - 1625) + chr(666 - 555) + chr(0b11101 + 0o25) + '\x32' + chr(1428 - 1375), 0b1000), ehT0Px3KOsy9(chr(1522 - 1474) + '\x6f' + chr(2242 - 2191), 0b1000), ehT0Px3KOsy9(chr(1433 - 1385) + '\157' + chr(50) + '\062' + '\x31', 12115 - 12107), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1070 - 1020) + '\x33' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b1110 + 0o45) + chr(0b110110) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001000 + 0o47) + '\x33' + chr(55) + chr(426 - 375), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b101000 + 0o12) + chr(0b110101), 32994 - 32986), ehT0Px3KOsy9(chr(1992 - 1944) + '\x6f' + '\x33' + chr(1540 - 1491) + '\x31', 34887 - 34879), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(0b110010) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + '\062' + '\066' + chr(0b110010 + 0o0), 33091 - 33083), ehT0Px3KOsy9('\x30' + chr(0b1100 + 0o143) + chr(55) + chr(0b11000 + 0o30), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(55) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(11111 - 11000) + chr(51) + chr(0b110100) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + chr(10203 - 10092) + chr(0b101110 + 0o5) + '\060' + chr(1819 - 1765), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\066' + chr(0b11100 + 0o33), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + chr(0b110101) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'y'), '\144' + chr(101) + chr(0b1100011) + chr(5306 - 5195) + chr(100) + chr(0b1001010 + 0o33))(chr(0b1110101) + chr(116) + chr(102) + chr(45) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WoHR6jnXeZoR(Xp0zaAcnRRfg=ehT0Px3KOsy9('\x30' + chr(111) + chr(2146 - 2095) + chr(0b10110 + 0o34), ord("\x08")), SENJvPRDnSlL=ehT0Px3KOsy9('\060' + chr(8582 - 8471) + chr(48), 0o10), U9fr9lFGWX80=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50), ord("\x08")), kKlybqgbD9mO=ehT0Px3KOsy9('\060' + '\157' + chr(1958 - 1908) + '\x33' + chr(0b10100 + 0o40) + '\x32' + chr(0b101001 + 0o7), 0o10)):
if U9fr9lFGWX80 < SENJvPRDnSlL:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b':Sr\x17\x8c\xca\x80Dwz\x1f\xe3\xb3\x91\x87\x07}L\xad\xdc\xfb\xd1A\xf0q\xb1z\xf5\x97\x95u\xa6e\x92]J\x94y\xaa\x17#]*%\x81\xc1\xafTz*\x06\xfe\xee\xc5\xe0\nlL\xa7\xcf\xe6\xefQ\xf0s\xe5f\xa0\xd3\x88y\xe9z\xdbVd\x85}\xb6C?\x0f/;'), chr(0b1100100) + chr(0b1100101 + 0o0) + '\143' + chr(0b1101111) + '\x64' + chr(101))('\x75' + '\x74' + chr(4354 - 4252) + chr(0b101101) + '\070') % (U9fr9lFGWX80, SENJvPRDnSlL))
Awttr3kjH0zX = Jo73bQiRAn6u(Xp0zaAcnRRfg, digits=ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(10171 - 10060) + '\065', 21640 - 21632))
for VNGQdHSFPrso in vQr8gNKaIaWE(kKlybqgbD9mO):
(aBu4gMMQp6Jg, GR1581dR5rDS) = tNfOMV8HoA2o(Awttr3kjH0zX.vlist, YyaZ4tpXu4lf(Awttr3kjH0zX.ops.SPnCNu54H1db()), SENJvPRDnSlL, U9fr9lFGWX80)
yield {xafqLlk3kkUe(SXOLrMavuUCe(b'>\\z=\x9c\xdc'), chr(0b1100100) + chr(0b101110 + 0o67) + chr(0b1100011) + '\x6f' + chr(100) + '\x65')('\165' + '\x74' + chr(102) + chr(0b100010 + 0o13) + chr(56)): xafqLlk3kkUe(Awttr3kjH0zX, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bc_\x0f\xb7\xfe\xc0\\u"3\xde'), chr(5575 - 5475) + chr(0b1100101) + '\x63' + chr(111) + chr(0b100010 + 0o102) + chr(101))(chr(117) + chr(0b1110100) + chr(0b101010 + 0o74) + chr(0b100101 + 0o10) + chr(0b111000)))(aBu4gMMQp6Jg), xafqLlk3kkUe(SXOLrMavuUCe(b'#Sx/\x8d\xdb\x83'), chr(0b1100100) + '\x65' + chr(6469 - 6370) + chr(111) + chr(0b1000111 + 0o35) + chr(101))('\165' + chr(0b1110100) + '\x66' + chr(1642 - 1597) + chr(332 - 276)): xafqLlk3kkUe(Awttr3kjH0zX, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bc_\x0f\xb7\xfe\xc0\\u"3\xde'), chr(0b1000010 + 0o42) + chr(0b1100101) + '\143' + chr(0b1011010 + 0o25) + chr(0b1001101 + 0o27) + '\x65')(chr(0b1111 + 0o146) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\070'))(GR1581dR5rDS)}
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic_math.py
|
calculus_integrate
|
def calculus_integrate(alphabet_size=26,
min_depth=0,
max_depth=2,
nbr_cases=10000):
"""Generate the calculus integrate dataset.
Each sample is a symbolic math expression involving unknown variables. The
task is to take the indefinite integral of the expression. The target is the
resulting expression.
Args:
alphabet_size: How many possible variables there are. Max 26.
min_depth: Minimum depth of the expression trees on both sides of the
equals sign in the equation.
max_depth: Maximum depth of the expression trees on both sides of the
equals sign in the equation.
nbr_cases: The number of cases to generate.
Yields:
A dictionary {"inputs": input-list, "targets": target-list} where
input-list are the tokens encoding the variable to integrate with respect
to and the expression to integrate, and target-list is a list of tokens
encoding the resulting math expression after integrating.
Raises:
ValueError: If `max_depth` < `min_depth`, or if alphabet_size > 26.
"""
if max_depth < min_depth:
raise ValueError("max_depth must be greater than or equal to min_depth. "
"Got max_depth=%s, min_depth=%s" % (max_depth, min_depth))
# Don't allow alphabet to use capital letters. Those are reserved for function
# names.
if alphabet_size > 26:
raise ValueError(
"alphabet_size must not be greater than 26. Got %s." % alphabet_size)
functions = {"log": "L"}
alg_cfg = math_dataset_init(alphabet_size, digits=5, functions=functions)
nbr_case = 0
while nbr_case < nbr_cases:
try:
sample, target = generate_calculus_integrate_sample(
alg_cfg.vlist,
list(alg_cfg.ops.values()), min_depth, max_depth, alg_cfg.functions)
yield {
"inputs": alg_cfg.int_encoder(sample),
"targets": alg_cfg.int_encoder(target)
}
except: # pylint:disable=bare-except
continue
if nbr_case % 10000 == 0:
print(" calculus_integrate: generating case %d." % nbr_case)
nbr_case += 1
|
python
|
def calculus_integrate(alphabet_size=26,
min_depth=0,
max_depth=2,
nbr_cases=10000):
"""Generate the calculus integrate dataset.
Each sample is a symbolic math expression involving unknown variables. The
task is to take the indefinite integral of the expression. The target is the
resulting expression.
Args:
alphabet_size: How many possible variables there are. Max 26.
min_depth: Minimum depth of the expression trees on both sides of the
equals sign in the equation.
max_depth: Maximum depth of the expression trees on both sides of the
equals sign in the equation.
nbr_cases: The number of cases to generate.
Yields:
A dictionary {"inputs": input-list, "targets": target-list} where
input-list are the tokens encoding the variable to integrate with respect
to and the expression to integrate, and target-list is a list of tokens
encoding the resulting math expression after integrating.
Raises:
ValueError: If `max_depth` < `min_depth`, or if alphabet_size > 26.
"""
if max_depth < min_depth:
raise ValueError("max_depth must be greater than or equal to min_depth. "
"Got max_depth=%s, min_depth=%s" % (max_depth, min_depth))
# Don't allow alphabet to use capital letters. Those are reserved for function
# names.
if alphabet_size > 26:
raise ValueError(
"alphabet_size must not be greater than 26. Got %s." % alphabet_size)
functions = {"log": "L"}
alg_cfg = math_dataset_init(alphabet_size, digits=5, functions=functions)
nbr_case = 0
while nbr_case < nbr_cases:
try:
sample, target = generate_calculus_integrate_sample(
alg_cfg.vlist,
list(alg_cfg.ops.values()), min_depth, max_depth, alg_cfg.functions)
yield {
"inputs": alg_cfg.int_encoder(sample),
"targets": alg_cfg.int_encoder(target)
}
except: # pylint:disable=bare-except
continue
if nbr_case % 10000 == 0:
print(" calculus_integrate: generating case %d." % nbr_case)
nbr_case += 1
|
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] |
Generate the calculus integrate dataset.
Each sample is a symbolic math expression involving unknown variables. The
task is to take the indefinite integral of the expression. The target is the
resulting expression.
Args:
alphabet_size: How many possible variables there are. Max 26.
min_depth: Minimum depth of the expression trees on both sides of the
equals sign in the equation.
max_depth: Maximum depth of the expression trees on both sides of the
equals sign in the equation.
nbr_cases: The number of cases to generate.
Yields:
A dictionary {"inputs": input-list, "targets": target-list} where
input-list are the tokens encoding the variable to integrate with respect
to and the expression to integrate, and target-list is a list of tokens
encoding the resulting math expression after integrating.
Raises:
ValueError: If `max_depth` < `min_depth`, or if alphabet_size > 26.
|
[
"Generate",
"the",
"calculus",
"integrate",
"dataset",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic_math.py#L520-L573
|
train
|
Generates the calculus integrate dataset.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\062' + chr(856 - 802), 54067 - 54059), ehT0Px3KOsy9(chr(633 - 585) + '\x6f' + chr(0b11000 + 0o33) + '\x33' + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b10010 + 0o44) + '\x37', 53297 - 53289), ehT0Px3KOsy9('\x30' + chr(0b1000101 + 0o52) + chr(0b100010 + 0o20) + chr(1652 - 1604) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(53) + chr(687 - 632), 0b1000), ehT0Px3KOsy9(chr(425 - 377) + chr(0b1101111) + chr(49) + chr(2661 - 2607) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + chr(0b110011) + '\x35' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1724 - 1676) + '\x6f' + chr(568 - 519) + chr(2241 - 2192) + chr(1408 - 1356), 0o10), ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + '\x35' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(0b100100 + 0o17) + chr(327 - 277) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x35' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\067' + chr(0b101 + 0o57), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b110010) + chr(0b110100), 8), ehT0Px3KOsy9(chr(1691 - 1643) + chr(111) + chr(0b100001 + 0o22) + chr(1213 - 1159), 28053 - 28045), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110110) + '\x34', 53534 - 53526), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(52) + chr(1072 - 1021), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b110000) + chr(0b110100), 18114 - 18106), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(50) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100010 + 0o115) + chr(49) + chr(963 - 913) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + chr(50) + chr(0b110000) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10 + 0o61) + chr(0b101110 + 0o6) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110100) + chr(1155 - 1106), 0b1000), ehT0Px3KOsy9(chr(1265 - 1217) + '\157' + chr(0b110001) + chr(0b110101) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(11950 - 11839) + chr(0b100101 + 0o14) + chr(0b110001) + chr(0b100 + 0o55), 0o10), ehT0Px3KOsy9(chr(2179 - 2131) + chr(0b1101111) + '\x31' + '\061', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(0b11000 + 0o32) + '\x37' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(0b110010) + chr(537 - 482) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\x30' + chr(0b110011), 19335 - 19327), ehT0Px3KOsy9(chr(48) + chr(0b1001100 + 0o43) + chr(49) + chr(52) + '\066', 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(0b110011) + '\x36' + chr(1317 - 1262), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2252 - 2201) + chr(968 - 915) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1877 - 1766) + chr(0b11101 + 0o31), 0b1000), ehT0Px3KOsy9('\060' + chr(1365 - 1254) + '\063' + chr(55) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011 + 0o144) + '\062' + chr(0b10011 + 0o36) + '\x31', 33423 - 33415), ehT0Px3KOsy9(chr(195 - 147) + chr(332 - 221) + chr(51) + chr(0b110100) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\064', 64378 - 64370), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(0b101001 + 0o12) + '\064', 33880 - 33872), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(1122 - 1073) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(67 - 19) + '\x6f' + chr(0b11100 + 0o27) + '\x30' + chr(0b11010 + 0o33), 29971 - 29963)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1287 - 1239) + chr(111) + chr(53) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8'), chr(0b111011 + 0o51) + '\x65' + chr(8645 - 8546) + chr(111) + chr(0b1100100) + chr(0b111001 + 0o54))(chr(0b1110101) + chr(1538 - 1422) + '\146' + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def LW6WB7kTG4qL(Xp0zaAcnRRfg=ehT0Px3KOsy9(chr(1509 - 1461) + chr(111) + chr(2254 - 2203) + chr(0b110010), 0o10), SENJvPRDnSlL=ehT0Px3KOsy9('\060' + chr(111) + chr(0b110000), 0o10), U9fr9lFGWX80=ehT0Px3KOsy9(chr(48) + chr(8483 - 8372) + chr(0b11001 + 0o31), 55466 - 55458), kKlybqgbD9mO=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\x33' + chr(0b1110 + 0o46) + chr(50) + chr(0b110000 + 0o0), 0o10)):
if U9fr9lFGWX80 < SENJvPRDnSlL:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\xb8\x8f\xde\x0b\x11\x9c8D\xf4@\x89\xa7j\x94\x81\xa176\xf0\x87`U\x0b;)\xc9\xd7\xa2\x08\xd7\x80t\xd9\xec\x94q}\xe2\xe5\xa2\xb6\xd7\xec\x06\x1a\xb3(I\xa4Y\x94\xfa>\xf3\x8c\xb07<\xe3\x9a^E\x0b9}\xd5\x82\xe6\x15\xdb\xcfk\x90\xe7\xba`y\xfe\xb1\xbe\xe4\xd2\xf2'), chr(8796 - 8696) + '\x65' + chr(4118 - 4019) + chr(0b1101111) + chr(6223 - 6123) + chr(4615 - 4514))('\165' + '\x74' + '\x66' + '\x2d' + chr(0b0 + 0o70)) % (U9fr9lFGWX80, SENJvPRDnSlL))
if Xp0zaAcnRRfg > ehT0Px3KOsy9(chr(48) + '\157' + chr(739 - 688) + chr(0b100001 + 0o21), 8):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xb5\x87\xe9\x0e\x16\x898s\xa7D\x86\xb1>\xd9\x96\xb7cq\xec\x8du\x01\x0c,)\xda\xcd\xa6\x07\x83\x8at\xd9\xfd\x8der\xae\xf7\xe0\xf7\xd7\xc6\x00\x00\xcci_\xfa'), chr(0b1100100) + '\145' + chr(2596 - 2497) + chr(0b1101111) + '\144' + chr(1635 - 1534))('\165' + '\x74' + chr(102) + chr(0b100011 + 0o12) + '\070') % Xp0zaAcnRRfg)
C1R32KxhgJbQ = {xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\xb6\x90'), '\144' + chr(101) + chr(0b1100011) + chr(111) + chr(100) + chr(0b11110 + 0o107))('\165' + chr(0b1010010 + 0o42) + chr(0b1011000 + 0o16) + chr(45) + chr(56)): xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a'), '\x64' + chr(0b1000101 + 0o40) + chr(7550 - 7451) + '\x6f' + chr(100) + chr(101))('\165' + '\164' + chr(10226 - 10124) + chr(0b101010 + 0o3) + chr(0b111000))}
Awttr3kjH0zX = Jo73bQiRAn6u(Xp0zaAcnRRfg, digits=ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(0b110101 + 0o0), 0b1000), functions=C1R32KxhgJbQ)
fi59hflS5c_U = ehT0Px3KOsy9(chr(1283 - 1235) + chr(0b10010 + 0o135) + '\x30', 8)
while fi59hflS5c_U < kKlybqgbD9mO:
try:
(aBu4gMMQp6Jg, GR1581dR5rDS) = rPbPf0VZSxuR(Awttr3kjH0zX.vlist, YyaZ4tpXu4lf(Awttr3kjH0zX.ops.SPnCNu54H1db()), SENJvPRDnSlL, U9fr9lFGWX80, Awttr3kjH0zX.functions)
yield {xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\xb7\x87\xf4\x1b\x07'), chr(1959 - 1859) + '\x65' + chr(99) + chr(0b10011 + 0o134) + '\x64' + chr(4798 - 4697))(chr(0b1000010 + 0o63) + chr(0b111 + 0o155) + chr(0b1000101 + 0o41) + chr(45) + chr(0b10111 + 0o41)): xafqLlk3kkUe(Awttr3kjH0zX, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x88\xa2\xc60%\xdc F\xacl\xb4'), '\x64' + chr(9781 - 9680) + '\x63' + chr(111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + chr(0b111000)))(aBu4gMMQp6Jg), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2\xb8\x85\xe6\n\x00\x9f'), chr(0b1100100) + '\145' + '\143' + chr(0b1101111) + '\144' + '\x65')(chr(7480 - 7363) + chr(0b1110100) + '\146' + chr(45) + '\070'): xafqLlk3kkUe(Awttr3kjH0zX, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\x88\xa2\xc60%\xdc F\xacl\xb4'), chr(0b1010101 + 0o17) + chr(101) + chr(99) + chr(0b1101111) + '\144' + chr(101))('\x75' + chr(2900 - 2784) + '\x66' + chr(1214 - 1169) + chr(0b11111 + 0o31)))(GR1581dR5rDS)}
except ZVWAAMjVVHHl:
continue
if fi59hflS5c_U % ehT0Px3KOsy9(chr(1231 - 1183) + chr(111) + chr(0b1101 + 0o45) + chr(106 - 55) + chr(0b1001 + 0o53) + chr(0b110000 + 0o2) + '\x30', 8) == ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b110001 + 0o76) + '\x30', 8):
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\xba\x96\xed\x0c\x01\x809_\x8bD\x92\xa0{\xd3\x91\xa5c4\xb8\xc2fD\x00,{\xdc\xcb\xaa\x08\x90\xcfe\x98\xfa\x80$9\xea\xeb'), chr(5903 - 5803) + '\x65' + chr(9705 - 9606) + '\x6f' + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(7754 - 7652) + chr(0b101101) + chr(0b111000)) % fi59hflS5c_U)
fi59hflS5c_U += ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(10365 - 10254) + chr(49), 8)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/algorithmic_math.py
|
ExprNode.is_in
|
def is_in(self, expr):
"""Returns True if `expr` is a subtree."""
if expr == self:
return True
is_in_left = is_in_expr(self.left, expr)
is_in_right = is_in_expr(self.right, expr)
return is_in_left or is_in_right
|
python
|
def is_in(self, expr):
"""Returns True if `expr` is a subtree."""
if expr == self:
return True
is_in_left = is_in_expr(self.left, expr)
is_in_right = is_in_expr(self.right, expr)
return is_in_left or is_in_right
|
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":",
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"True",
"is_in_left",
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"(",
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",",
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")",
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"(",
"self",
".",
"right",
",",
"expr",
")",
"return",
"is_in_left",
"or",
"is_in_right"
] |
Returns True if `expr` is a subtree.
|
[
"Returns",
"True",
"if",
"expr",
"is",
"a",
"subtree",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/algorithmic_math.py#L81-L87
|
train
|
Returns True if expr is a subtree.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2139 - 2091) + '\157' + '\061' + '\062' + chr(152 - 103), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2675 - 2564) + '\062' + chr(1701 - 1647) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(2369 - 2258) + chr(50) + chr(0b110110) + chr(0b110011), 64451 - 64443), ehT0Px3KOsy9('\x30' + chr(3555 - 3444) + '\x31' + chr(0b110110) + chr(2031 - 1980), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + '\x32' + '\x36' + '\065', 4042 - 4034), ehT0Px3KOsy9(chr(874 - 826) + chr(111) + '\061' + chr(48) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101101 + 0o5) + chr(53) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x35' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + '\x32' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(2228 - 2180) + '\x6f' + chr(0b101101 + 0o10) + chr(685 - 630), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3721 - 3610) + chr(0b101110 + 0o4) + '\x33' + chr(844 - 792), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3304 - 3193) + '\x33' + chr(1649 - 1596) + chr(0b101101 + 0o10), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + '\x31' + chr(0b110110) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1993 - 1945) + chr(111) + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100100 + 0o13) + chr(49) + chr(0b100110 + 0o17) + chr(0b110110 + 0o0), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11011 + 0o124) + '\x33' + chr(53) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(50) + chr(0b101010 + 0o10) + chr(0b1100 + 0o53), 28544 - 28536), ehT0Px3KOsy9(chr(1515 - 1467) + chr(0b1101111) + '\066', 11749 - 11741), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(12019 - 11908) + chr(1421 - 1372) + '\061' + '\061', 3489 - 3481), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110111) + chr(53), 303 - 295), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\065' + chr(0b100111 + 0o15), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\066' + chr(0b10000 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1893 - 1844) + '\x30' + chr(2048 - 1994), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b110000 + 0o4) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + chr(0b110011) + '\x31' + chr(89 - 38), 9406 - 9398), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\x36' + chr(433 - 382), 3158 - 3150), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(404 - 353) + '\065' + chr(52), 1020 - 1012), ehT0Px3KOsy9(chr(48) + chr(8993 - 8882) + '\x32' + chr(353 - 302) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101011 + 0o4) + '\x33' + '\x30' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1443 - 1394) + chr(51) + chr(54), 40904 - 40896), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(1817 - 1766) + chr(0b110100) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(362 - 311) + '\x35' + chr(430 - 381), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(321 - 270) + '\x35' + chr(2394 - 2345), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b111110 + 0o61) + chr(0b1110 + 0o43) + '\x30' + '\x32', 6333 - 6325), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b11010 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\x34' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(0b11110 + 0o25) + chr(49) + '\061', 7460 - 7452), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x36' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b110100 + 0o73) + chr(2368 - 2319) + chr(0b101010 + 0o6) + '\060', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101110 + 0o1) + '\x35' + chr(0b10000 + 0o40), 46942 - 46934)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f'), '\x64' + '\x65' + chr(8618 - 8519) + chr(4363 - 4252) + chr(0b11010 + 0o112) + '\145')('\x75' + '\x74' + chr(0b1100110) + chr(1333 - 1288) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nXQgLPZkvE3s(oVre8I6UXc3b, uI2evTH5km5q):
if uI2evTH5km5q == oVre8I6UXc3b:
return ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(49), 0o10)
q_TNVeN8dLYc = JYfCeK9WjyXW(oVre8I6UXc3b.mtX6HPOlWiYu, uI2evTH5km5q)
zDOicTC8UI_5 = JYfCeK9WjyXW(oVre8I6UXc3b.isOYmsUx1jxa, uI2evTH5km5q)
return q_TNVeN8dLYc or zDOicTC8UI_5
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
preprocess_example_common
|
def preprocess_example_common(example, mode, hparams):
"""Preprocessing steps common to all models."""
if "inputs" in example and hparams.max_input_seq_length > 0:
example["inputs"] = example["inputs"][:hparams.max_input_seq_length]
if hparams.prepend_mode != "none":
if mode == tf.estimator.ModeKeys.PREDICT:
example["partial_targets"] = tf.concat([example["inputs"], [0]], 0)
else:
example["targets"] = tf.concat(
[example["inputs"], [0], example["targets"]], 0)
if "targets" in example and hparams.max_target_seq_length > 0:
example["targets"] = example["targets"][:hparams.max_target_seq_length]
if hparams.split_to_length:
new_example = {}
for k, v in six.iteritems(example):
if k == "targets" or k == "inputs":
new_example[k] = tf.reshape(v, [-1, hparams.split_to_length, 1, 1])
else:
tf.logging.warning("Dropping feature %s" % k)
return tf.data.Dataset.from_tensor_slices(new_example)
return example
|
python
|
def preprocess_example_common(example, mode, hparams):
"""Preprocessing steps common to all models."""
if "inputs" in example and hparams.max_input_seq_length > 0:
example["inputs"] = example["inputs"][:hparams.max_input_seq_length]
if hparams.prepend_mode != "none":
if mode == tf.estimator.ModeKeys.PREDICT:
example["partial_targets"] = tf.concat([example["inputs"], [0]], 0)
else:
example["targets"] = tf.concat(
[example["inputs"], [0], example["targets"]], 0)
if "targets" in example and hparams.max_target_seq_length > 0:
example["targets"] = example["targets"][:hparams.max_target_seq_length]
if hparams.split_to_length:
new_example = {}
for k, v in six.iteritems(example):
if k == "targets" or k == "inputs":
new_example[k] = tf.reshape(v, [-1, hparams.split_to_length, 1, 1])
else:
tf.logging.warning("Dropping feature %s" % k)
return tf.data.Dataset.from_tensor_slices(new_example)
return example
|
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] |
Preprocessing steps common to all models.
|
[
"Preprocessing",
"steps",
"common",
"to",
"all",
"models",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L142-L162
|
train
|
Preprocessing steps common to all models.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(0b110010) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1459 - 1410) + chr(52) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(186 - 135) + chr(0b10101 + 0o35) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(1923 - 1872) + '\x33', 56183 - 56175), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\064' + '\x32', 16424 - 16416), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(51) + chr(51) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(311 - 262) + chr(0b10101 + 0o34) + '\065', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\062' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(0b110011) + chr(0b100 + 0o55) + chr(2974 - 2919), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1868 - 1757) + chr(0b110001) + chr(0b110111) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101010 + 0o14) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(808 - 759) + chr(52) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(2144 - 2094) + '\x34' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1010001 + 0o36) + chr(0b110101) + chr(0b100110 + 0o12), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b110101) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + '\x31' + chr(0b110110) + chr(0b100001 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(795 - 744) + chr(0b110010) + '\x37', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\x34' + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(54) + chr(0b10 + 0o62), 5975 - 5967), ehT0Px3KOsy9(chr(48) + chr(0b1010011 + 0o34) + chr(0b1111 + 0o44) + chr(54) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1827 - 1779) + '\x6f' + chr(215 - 166) + chr(2174 - 2124) + chr(0b1000 + 0o50), 0b1000), ehT0Px3KOsy9(chr(202 - 154) + chr(0b1101111) + chr(1463 - 1412) + chr(54) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1001000 + 0o47) + chr(1531 - 1482) + chr(1653 - 1599), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + chr(49) + '\067' + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(8704 - 8593) + '\x33' + '\063' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b10001 + 0o40), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b111000 + 0o67) + chr(51) + '\x37' + chr(877 - 827), 0o10), ehT0Px3KOsy9(chr(48) + chr(10336 - 10225) + chr(1703 - 1652) + '\x34' + chr(0b110111), 41541 - 41533), ehT0Px3KOsy9(chr(539 - 491) + '\x6f' + '\x32' + chr(55) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10000 + 0o42) + chr(51) + chr(0b1100 + 0o53), 0o10), ehT0Px3KOsy9(chr(2250 - 2202) + chr(0b1001101 + 0o42) + chr(977 - 928) + '\067' + chr(615 - 566), 0b1000), ehT0Px3KOsy9(chr(1577 - 1529) + '\157' + chr(0b0 + 0o61) + chr(0b1111 + 0o43), 0b1000), ehT0Px3KOsy9('\060' + chr(5384 - 5273) + chr(0b10011 + 0o36) + chr(0b110001) + '\064', 6485 - 6477), ehT0Px3KOsy9('\x30' + chr(0b1101000 + 0o7) + chr(51) + chr(494 - 446) + chr(0b101010 + 0o13), 50612 - 50604), ehT0Px3KOsy9('\060' + chr(1774 - 1663) + chr(2394 - 2344) + chr(0b110000) + '\061', 717 - 709), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x33' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x35' + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(9410 - 9299) + chr(0b110100) + '\x36', 43327 - 43319)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x35' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'9'), chr(100) + chr(7813 - 7712) + '\x63' + '\157' + '\x64' + chr(731 - 630))('\x75' + '\164' + chr(102) + '\055' + chr(0b101101 + 0o13)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Jopgi_LpD3Ng(kP4qaKv0ZkGv, holLFgwB7vsP, n4ljua2gi1Pr):
if xafqLlk3kkUe(SXOLrMavuUCe(b'~o\x15\xa2\xef\x91'), chr(3303 - 3203) + '\x65' + chr(0b100011 + 0o100) + '\x6f' + chr(6636 - 6536) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b100110 + 0o22)) in kP4qaKv0ZkGv and xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'o`P\xe7\xd3\xa5\x93>Y\x1b\xae-'), chr(100) + '\x65' + chr(0b100 + 0o137) + '\x6f' + chr(0b10111 + 0o115) + chr(0b1100101))(chr(0b1001010 + 0o53) + chr(116) + '\146' + chr(45) + chr(0b1000 + 0o60))) > ehT0Px3KOsy9('\x30' + chr(0b100001 + 0o116) + chr(48), 2559 - 2551):
kP4qaKv0ZkGv[xafqLlk3kkUe(SXOLrMavuUCe(b'~o\x15\xa2\xef\x91'), chr(0b1100100) + '\x65' + '\x63' + '\157' + chr(2122 - 2022) + chr(0b1100101))(chr(0b1110101) + chr(12577 - 12461) + chr(0b111110 + 0o50) + chr(0b101101) + '\x38')] = kP4qaKv0ZkGv[xafqLlk3kkUe(SXOLrMavuUCe(b'~o\x15\xa2\xef\x91'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + chr(0b100010 + 0o102) + chr(0b1100101))('\165' + chr(116) + '\146' + '\055' + '\x38')][:n4ljua2gi1Pr.xa50HGLsAIaS]
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'fs:\xe0\xf7\x83\x95$j\x13\xa1L'), chr(0b1100100) + chr(101) + chr(99) + chr(0b101110 + 0o101) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b110 + 0o47) + '\070')) != xafqLlk3kkUe(SXOLrMavuUCe(b'yn\x0b\xb2'), chr(0b1100100) + chr(3126 - 3025) + chr(0b1100011) + chr(9030 - 8919) + '\144' + '\145')(chr(6635 - 6518) + '\164' + '\146' + '\x2d' + '\070'):
if holLFgwB7vsP == xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'GS \x93\xd2\xa1\x8b'), chr(1077 - 977) + chr(0b1010 + 0o133) + chr(4932 - 4833) + chr(0b1100010 + 0o15) + '\x64' + '\x65')(chr(0b1110101) + chr(0b100001 + 0o123) + '\146' + '\055' + chr(56))):
kP4qaKv0ZkGv[xafqLlk3kkUe(SXOLrMavuUCe(b'g`\x17\xa3\xf2\x83\xb3\x12l3\xbd\x19W\x15\xd7'), chr(0b1000101 + 0o37) + chr(3714 - 3613) + chr(0b110001 + 0o62) + '\157' + chr(0b1100100) + chr(0b1010110 + 0o17))(chr(0b1010001 + 0o44) + chr(0b1011 + 0o151) + chr(102) + chr(1013 - 968) + '\x38')] = IDJ2eXGCBCDu.concat([kP4qaKv0ZkGv[xafqLlk3kkUe(SXOLrMavuUCe(b'~o\x15\xa2\xef\x91'), chr(100) + chr(0b10 + 0o143) + chr(99) + chr(820 - 709) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(116) + '\146' + chr(0b101101 + 0o0) + chr(0b111000))], [ehT0Px3KOsy9('\x30' + chr(1425 - 1314) + chr(48), 8)]], ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + chr(1871 - 1823), 8))
else:
kP4qaKv0ZkGv[xafqLlk3kkUe(SXOLrMavuUCe(b'c`\x17\xb0\xfe\x96\xac'), chr(3604 - 3504) + chr(101) + chr(99) + '\157' + chr(100) + chr(0b1100101))(chr(240 - 123) + '\164' + '\x66' + chr(0b101101) + chr(56))] = IDJ2eXGCBCDu.concat([kP4qaKv0ZkGv[xafqLlk3kkUe(SXOLrMavuUCe(b'~o\x15\xa2\xef\x91'), chr(0b1100100) + '\x65' + chr(0b10001 + 0o122) + chr(11754 - 11643) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b110 + 0o156) + chr(0b1100110) + chr(45) + chr(2863 - 2807))], [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000), 8)], kP4qaKv0ZkGv[xafqLlk3kkUe(SXOLrMavuUCe(b'c`\x17\xb0\xfe\x96\xac'), chr(0b1100100) + chr(6228 - 6127) + '\x63' + '\157' + chr(100) + '\145')('\x75' + chr(6215 - 6099) + '\x66' + '\x2d' + chr(0b111000))]], ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1556 - 1508), 8))
if xafqLlk3kkUe(SXOLrMavuUCe(b'c`\x17\xb0\xfe\x96\xac'), chr(0b11 + 0o141) + chr(0b1100101) + chr(3378 - 3279) + '\x6f' + chr(0b1001101 + 0o27) + chr(242 - 141))(chr(117) + chr(116) + '\x66' + chr(0b10111 + 0o26) + chr(147 - 91)) in kP4qaKv0ZkGv and xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'bK\x10\xa3\xd7\xa0\xea\t~\x02\xa2<'), '\x64' + chr(2862 - 2761) + '\x63' + chr(0b1011001 + 0o26) + '\144' + '\145')('\165' + chr(0b1110100) + chr(10332 - 10230) + chr(0b11111 + 0o16) + '\x38')) > ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), 8):
kP4qaKv0ZkGv[xafqLlk3kkUe(SXOLrMavuUCe(b'c`\x17\xb0\xfe\x96\xac'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\145')('\x75' + '\164' + '\146' + chr(45) + chr(0b111000))] = kP4qaKv0ZkGv[xafqLlk3kkUe(SXOLrMavuUCe(b'c`\x17\xb0\xfe\x96\xac'), '\x64' + '\145' + chr(7605 - 7506) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(6352 - 6250) + '\055' + chr(2701 - 2645))][:n4ljua2gi1Pr.uJutLB5DfPmB]
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'dq\t\xbe\xef\xbd\xab"G>\xaa\x10U\x15\xcc'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1001100 + 0o43) + chr(100) + '\145')(chr(8024 - 7907) + '\x74' + chr(102) + '\055' + chr(111 - 55))):
PTHa4fKFxPzV = {}
for (OolUPRJhRaJd, cMbll0QYhULo) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'~u\x00\xa5\xf2\x96\xba k'), chr(0b1100100) + chr(215 - 114) + chr(99) + '\x6f' + '\144' + chr(7110 - 7009))(chr(0b11001 + 0o134) + chr(116) + chr(0b110100 + 0o62) + chr(0b10010 + 0o33) + chr(0b111000)))(kP4qaKv0ZkGv):
if OolUPRJhRaJd == xafqLlk3kkUe(SXOLrMavuUCe(b'c`\x17\xb0\xfe\x96\xac'), '\144' + chr(101) + chr(0b1000111 + 0o34) + chr(0b100010 + 0o115) + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(56)) or OolUPRJhRaJd == xafqLlk3kkUe(SXOLrMavuUCe(b'~o\x15\xa2\xef\x91'), chr(0b1100100) + chr(8358 - 8257) + '\143' + chr(111) + chr(0b11100 + 0o110) + chr(0b1100101))(chr(6071 - 5954) + '\x74' + chr(0b101110 + 0o70) + '\x2d' + chr(56)):
PTHa4fKFxPzV[OolUPRJhRaJd] = IDJ2eXGCBCDu.reshape(cMbll0QYhULo, [-ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(0b101101 + 0o4), 8), n4ljua2gi1Pr.split_to_length, ehT0Px3KOsy9('\060' + '\x6f' + chr(49), 8), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b110 + 0o151) + chr(49), 8)])
else:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'``\x17\xb9\xf2\x8c\xb8'), chr(7912 - 7812) + '\145' + '\x63' + chr(0b101010 + 0o105) + '\x64' + chr(1956 - 1855))(chr(0b101000 + 0o115) + '\x74' + chr(8922 - 8820) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'Ss\n\xa7\xeb\x8b\xb1*84\xaa\x1fF\x14\xd6MOP\xa4'), chr(100) + chr(0b1100101) + '\143' + chr(111) + chr(100) + chr(101))(chr(13468 - 13351) + chr(0b1110100) + chr(1664 - 1562) + chr(45) + chr(56)) % OolUPRJhRaJd)
return xafqLlk3kkUe(IDJ2eXGCBCDu.data.Dataset, xafqLlk3kkUe(SXOLrMavuUCe(b'qs\n\xba\xc4\x96\xba#k=\xbd!A\r\xcdK\n\x06'), chr(0b110110 + 0o56) + chr(101) + chr(7559 - 7460) + chr(0b1100011 + 0o14) + '\144' + chr(101))(chr(0b1000011 + 0o62) + '\x74' + '\x66' + chr(0b11100 + 0o21) + '\070'))(PTHa4fKFxPzV)
return kP4qaKv0ZkGv
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
_copy_problem_hparams
|
def _copy_problem_hparams(p_hparams):
"""Use input modality, vocab, and space id for target."""
p = p_hparams
# Duplicate input modality.
p.modality["targets"] = p.modality["inputs"]
# Duplicate input vocab size.
p.vocab_size["targets"] = p.vocab_size["inputs"]
# Duplicate input vocabulary.
p.vocabulary["targets"] = p.vocabulary["inputs"]
# Duplicate input space ids.
p.target_space_id = p.input_space_id
# Mark that p was reversed.
p.was_copy = True
|
python
|
def _copy_problem_hparams(p_hparams):
"""Use input modality, vocab, and space id for target."""
p = p_hparams
# Duplicate input modality.
p.modality["targets"] = p.modality["inputs"]
# Duplicate input vocab size.
p.vocab_size["targets"] = p.vocab_size["inputs"]
# Duplicate input vocabulary.
p.vocabulary["targets"] = p.vocabulary["inputs"]
# Duplicate input space ids.
p.target_space_id = p.input_space_id
# Mark that p was reversed.
p.was_copy = True
|
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] |
Use input modality, vocab, and space id for target.
|
[
"Use",
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"vocab",
"and",
"space",
"id",
"for",
"target",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L947-L959
|
train
|
Copy problem hparams to target modality vocab and space ids.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b100101 + 0o112) + chr(51) + chr(49) + chr(0b110101), 12565 - 12557), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x37' + '\065', 0o10), ehT0Px3KOsy9(chr(1578 - 1530) + chr(0b10010 + 0o135) + '\061' + chr(49) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(1446 - 1335) + '\x32' + '\x30' + '\063', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1270 - 1220) + chr(578 - 530) + chr(0b110001 + 0o5), 0o10), ehT0Px3KOsy9('\x30' + chr(0b100100 + 0o113) + chr(168 - 119) + '\x36' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(835 - 780), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1588 - 1540) + '\157' + '\x32' + chr(0b10111 + 0o32) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(49) + chr(0b100100 + 0o17) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000000 + 0o57) + chr(50) + '\x30' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\x32' + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b1010 + 0o46) + chr(0b11100 + 0o26), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + chr(50) + chr(0b100001 + 0o22) + '\061', 35042 - 35034), ehT0Px3KOsy9(chr(884 - 836) + chr(111) + chr(0b110010) + chr(0b110110) + chr(1474 - 1424), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(0b100111 + 0o12) + chr(75 - 27) + chr(0b10011 + 0o44), 0b1000), ehT0Px3KOsy9('\x30' + chr(11098 - 10987) + chr(0b1110 + 0o45) + '\x34' + '\x34', 7658 - 7650), ehT0Px3KOsy9(chr(1839 - 1791) + '\x6f' + '\x31' + '\063' + chr(0b0 + 0o63), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010 + 0o1) + chr(0b10100 + 0o43) + chr(0b10101 + 0o37), 0o10), ehT0Px3KOsy9('\x30' + chr(1830 - 1719) + chr(49) + '\067' + chr(0b101110 + 0o6), 28873 - 28865), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(7251 - 7140) + chr(0b110001) + '\061' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6132 - 6021) + chr(0b110010) + chr(1420 - 1371) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(55) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5288 - 5177) + chr(0b100000 + 0o23) + chr(951 - 902) + chr(52), 40225 - 40217), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(921 - 872) + chr(1647 - 1592), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011 + 0o0) + chr(48) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1097 - 1049) + chr(8673 - 8562) + chr(367 - 315) + chr(55), 0b1000), ehT0Px3KOsy9(chr(933 - 885) + '\157' + chr(0b100010 + 0o17) + '\064' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b10101 + 0o33), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + chr(310 - 259) + chr(0b110001) + chr(52), 8), ehT0Px3KOsy9(chr(0b110000) + chr(3133 - 3022) + '\061' + chr(0b110000) + '\067', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110001) + chr(161 - 111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10398 - 10287) + '\x31' + '\064' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(863 - 815) + chr(6320 - 6209) + '\x33' + '\064' + '\x36', 15939 - 15931), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + '\x32' + '\063' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7026 - 6915) + '\061' + chr(0b11110 + 0o31) + chr(0b100010 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110111) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(316 - 268) + chr(0b110110), 18744 - 18736)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2568 - 2515) + chr(0b1001 + 0o47), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3'), '\x64' + '\145' + chr(0b1001111 + 0o24) + chr(0b1001 + 0o146) + chr(0b111011 + 0o51) + '\145')(chr(117) + chr(9602 - 9486) + '\x66' + chr(0b1101 + 0o40) + chr(2109 - 2053)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uTu2RWd3Etri(bb9KhnGWdDAt):
UyakMW2IMFEj = bb9KhnGWdDAt
UyakMW2IMFEj.bYPswhysd3s2[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\\;c\xe6\xf2\x05'), '\144' + '\145' + '\143' + '\157' + chr(100) + chr(101))(chr(0b110110 + 0o77) + '\x74' + '\146' + chr(45) + '\070')] = UyakMW2IMFEj.bYPswhysd3s2[xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4S9q\xf7\xf5'), '\144' + chr(101) + '\x63' + chr(111) + '\144' + chr(0b101111 + 0o66))('\x75' + chr(116) + '\146' + chr(461 - 416) + chr(0b1100 + 0o54))]
UyakMW2IMFEj.CeyMIoSyrpkQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\\;c\xe6\xf2\x05'), chr(0b1100100) + '\145' + '\x63' + '\x6f' + '\144' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1001000 + 0o36) + '\055' + '\070')] = UyakMW2IMFEj.CeyMIoSyrpkQ[xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4S9q\xf7\xf5'), chr(8658 - 8558) + chr(3865 - 3764) + '\x63' + '\x6f' + '\144' + '\145')('\165' + '\164' + chr(0b1100110) + chr(45) + '\x38')]
UyakMW2IMFEj.Vemi1XCgm0ph[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\\;c\xe6\xf2\x05'), chr(0b10111 + 0o115) + '\145' + '\x63' + chr(111) + chr(0b11101 + 0o107) + chr(0b100100 + 0o101))(chr(2578 - 2461) + '\x74' + chr(496 - 394) + chr(0b101011 + 0o2) + chr(0b111000))] = UyakMW2IMFEj.Vemi1XCgm0ph[xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4S9q\xf7\xf5'), '\144' + '\145' + chr(0b100000 + 0o103) + chr(2466 - 2355) + chr(0b1100100) + chr(0b1100101))(chr(3657 - 3540) + '\x74' + '\146' + chr(1050 - 1005) + chr(0b100100 + 0o24))]
UyakMW2IMFEj.F_zsiH5GNezn = UyakMW2IMFEj.input_space_id
UyakMW2IMFEj.zg_4HQZzGKi4 = ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(752 - 641) + '\x31', 38295 - 38287)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
_reverse_problem_hparams
|
def _reverse_problem_hparams(p_hparams):
"""Swap input/output modalities, vocab, and space ids."""
p = p_hparams
# Swap modalities.
# TODO(trandustin): Note this assumes target modalities have feature name
# 'target', and each intended feature to swap has feature name 'input'.
# In the future, remove need for this behavior.
reversed_modality = {}
for feature_name in p.modality:
reversed_feature_name = feature_name.replace("target", "input")
if "target" in feature_name and reversed_feature_name in p.modality:
reversed_modality[feature_name] = p.modality[reversed_feature_name]
reversed_modality[reversed_feature_name] = p.modality[feature_name]
else:
reversed_modality[feature_name] = p.modality[feature_name]
p.modality = reversed_modality
# Swap vocab sizes.
reversed_vocab_size = {}
for feature_name in p.vocab_size:
reversed_feature_name = feature_name.replace("target", "input")
if "target" in feature_name and reversed_feature_name in p.vocab_size:
reversed_vocab_size[feature_name] = p.vocab_size[reversed_feature_name]
reversed_vocab_size[reversed_feature_name] = p.vocab_size[feature_name]
else:
reversed_vocab_size[feature_name] = p.vocab_size[feature_name]
p.vocab_size = reversed_vocab_size
# Swap vocabularies.
input_vocabulary = p.vocabulary.pop("inputs", None)
target_vocabulary = p.vocabulary.pop("targets", None)
if input_vocabulary is not None:
p.vocabulary["targets"] = input_vocabulary
if target_vocabulary is not None:
p.vocabulary["inputs"] = target_vocabulary
# Swap input/target space ids.
input_space_id = p.input_space_id
target_space_id = p.target_space_id
if input_space_id is not None:
p.target_space_id = input_space_id
else:
p.target_space_id = SpaceID.GENERIC
if target_space_id is not None:
p.input_space_id = target_space_id
else:
p.input_space_id = SpaceID.GENERIC
# Mark that p was reversed.
p.was_reversed = True
|
python
|
def _reverse_problem_hparams(p_hparams):
"""Swap input/output modalities, vocab, and space ids."""
p = p_hparams
# Swap modalities.
# TODO(trandustin): Note this assumes target modalities have feature name
# 'target', and each intended feature to swap has feature name 'input'.
# In the future, remove need for this behavior.
reversed_modality = {}
for feature_name in p.modality:
reversed_feature_name = feature_name.replace("target", "input")
if "target" in feature_name and reversed_feature_name in p.modality:
reversed_modality[feature_name] = p.modality[reversed_feature_name]
reversed_modality[reversed_feature_name] = p.modality[feature_name]
else:
reversed_modality[feature_name] = p.modality[feature_name]
p.modality = reversed_modality
# Swap vocab sizes.
reversed_vocab_size = {}
for feature_name in p.vocab_size:
reversed_feature_name = feature_name.replace("target", "input")
if "target" in feature_name and reversed_feature_name in p.vocab_size:
reversed_vocab_size[feature_name] = p.vocab_size[reversed_feature_name]
reversed_vocab_size[reversed_feature_name] = p.vocab_size[feature_name]
else:
reversed_vocab_size[feature_name] = p.vocab_size[feature_name]
p.vocab_size = reversed_vocab_size
# Swap vocabularies.
input_vocabulary = p.vocabulary.pop("inputs", None)
target_vocabulary = p.vocabulary.pop("targets", None)
if input_vocabulary is not None:
p.vocabulary["targets"] = input_vocabulary
if target_vocabulary is not None:
p.vocabulary["inputs"] = target_vocabulary
# Swap input/target space ids.
input_space_id = p.input_space_id
target_space_id = p.target_space_id
if input_space_id is not None:
p.target_space_id = input_space_id
else:
p.target_space_id = SpaceID.GENERIC
if target_space_id is not None:
p.input_space_id = target_space_id
else:
p.input_space_id = SpaceID.GENERIC
# Mark that p was reversed.
p.was_reversed = True
|
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"modality",
"[",
"feature_name",
"]",
"p",
".",
"modality",
"=",
"reversed_modality",
"# Swap vocab sizes.",
"reversed_vocab_size",
"=",
"{",
"}",
"for",
"feature_name",
"in",
"p",
".",
"vocab_size",
":",
"reversed_feature_name",
"=",
"feature_name",
".",
"replace",
"(",
"\"target\"",
",",
"\"input\"",
")",
"if",
"\"target\"",
"in",
"feature_name",
"and",
"reversed_feature_name",
"in",
"p",
".",
"vocab_size",
":",
"reversed_vocab_size",
"[",
"feature_name",
"]",
"=",
"p",
".",
"vocab_size",
"[",
"reversed_feature_name",
"]",
"reversed_vocab_size",
"[",
"reversed_feature_name",
"]",
"=",
"p",
".",
"vocab_size",
"[",
"feature_name",
"]",
"else",
":",
"reversed_vocab_size",
"[",
"feature_name",
"]",
"=",
"p",
".",
"vocab_size",
"[",
"feature_name",
"]",
"p",
".",
"vocab_size",
"=",
"reversed_vocab_size",
"# Swap vocabularies.",
"input_vocabulary",
"=",
"p",
".",
"vocabulary",
".",
"pop",
"(",
"\"inputs\"",
",",
"None",
")",
"target_vocabulary",
"=",
"p",
".",
"vocabulary",
".",
"pop",
"(",
"\"targets\"",
",",
"None",
")",
"if",
"input_vocabulary",
"is",
"not",
"None",
":",
"p",
".",
"vocabulary",
"[",
"\"targets\"",
"]",
"=",
"input_vocabulary",
"if",
"target_vocabulary",
"is",
"not",
"None",
":",
"p",
".",
"vocabulary",
"[",
"\"inputs\"",
"]",
"=",
"target_vocabulary",
"# Swap input/target space ids.",
"input_space_id",
"=",
"p",
".",
"input_space_id",
"target_space_id",
"=",
"p",
".",
"target_space_id",
"if",
"input_space_id",
"is",
"not",
"None",
":",
"p",
".",
"target_space_id",
"=",
"input_space_id",
"else",
":",
"p",
".",
"target_space_id",
"=",
"SpaceID",
".",
"GENERIC",
"if",
"target_space_id",
"is",
"not",
"None",
":",
"p",
".",
"input_space_id",
"=",
"target_space_id",
"else",
":",
"p",
".",
"input_space_id",
"=",
"SpaceID",
".",
"GENERIC",
"# Mark that p was reversed.",
"p",
".",
"was_reversed",
"=",
"True"
] |
Swap input/output modalities, vocab, and space ids.
|
[
"Swap",
"input",
"/",
"output",
"modalities",
"vocab",
"and",
"space",
"ids",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L962-L1014
|
train
|
Swap input output modalities vocab and space ids.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(445 - 397) + '\x6f' + '\065' + chr(1409 - 1356), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(51) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1148 - 1100) + chr(0b1101111) + chr(860 - 811) + chr(2357 - 2302) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(2098 - 2049) + chr(0b110110) + chr(53), 0b1000), ehT0Px3KOsy9(chr(309 - 261) + '\x6f' + chr(1422 - 1372) + chr(49) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b100001 + 0o22) + chr(0b110 + 0o60) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + chr(2125 - 2075) + '\x33' + '\x37', 38180 - 38172), ehT0Px3KOsy9('\060' + '\x6f' + chr(202 - 151) + '\065' + chr(0b11111 + 0o24), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + '\063' + '\x36' + chr(0b110110), 13170 - 13162), ehT0Px3KOsy9('\x30' + chr(209 - 98) + '\x33' + chr(49) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\x33' + chr(54), 26074 - 26066), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(49) + chr(2086 - 2034) + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(7965 - 7854) + '\x32' + chr(0b10101 + 0o42), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2129 - 2080) + '\x35' + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x37' + chr(0b1001 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(223 - 175) + chr(0b10010 + 0o135) + chr(0b10001 + 0o40) + '\x37' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101010 + 0o5) + chr(0b110011) + chr(48) + '\x33', 17383 - 17375), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(79 - 28) + chr(53) + '\x36', 64907 - 64899), ehT0Px3KOsy9(chr(738 - 690) + chr(0b1101011 + 0o4) + chr(51) + chr(52), 45332 - 45324), ehT0Px3KOsy9(chr(394 - 346) + chr(0b1101111) + '\062' + chr(821 - 768) + '\x32', 0o10), ehT0Px3KOsy9(chr(490 - 442) + chr(0b1101111) + chr(119 - 70) + chr(0b11010 + 0o26) + chr(53), 31466 - 31458), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(0b110010) + chr(2206 - 2154) + chr(0b111 + 0o55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + '\061' + '\066' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10 + 0o60) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1713 - 1665) + chr(8322 - 8211) + chr(51) + chr(367 - 318) + chr(1622 - 1569), 0b1000), ehT0Px3KOsy9('\060' + chr(6497 - 6386) + chr(51) + chr(0b110010 + 0o3) + '\067', 0o10), ehT0Px3KOsy9(chr(1531 - 1483) + chr(2873 - 2762) + chr(49) + '\x32' + chr(1426 - 1372), 45699 - 45691), ehT0Px3KOsy9(chr(0b110000) + chr(0b100000 + 0o117) + chr(1084 - 1031) + chr(0b11 + 0o55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5803 - 5692) + chr(0b10101 + 0o36) + chr(0b110011) + chr(0b1101 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(817 - 769) + chr(0b1101111) + chr(0b110011) + chr(0b101000 + 0o14) + chr(0b101110 + 0o3), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10000 + 0o43) + '\064' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(52) + chr(0b110011 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2760 - 2649) + chr(0b110001) + '\062' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063', 23443 - 23435), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101100 + 0o3) + '\x37' + chr(1478 - 1430), 0b1000), ehT0Px3KOsy9(chr(1575 - 1527) + chr(4229 - 4118) + chr(0b110001) + chr(0b110100) + chr(2125 - 2077), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(224 - 174) + '\x32' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1000111 + 0o50) + chr(1091 - 1039) + '\063', 0o10), ehT0Px3KOsy9(chr(127 - 79) + chr(11060 - 10949) + chr(0b100100 + 0o16) + '\066' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1321 - 1210) + '\063' + chr(0b110100) + '\066', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + '\x35' + chr(0b11100 + 0o24), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x03'), chr(0b111 + 0o135) + chr(0b101011 + 0o72) + '\143' + '\x6f' + '\144' + '\x65')(chr(0b1110101) + chr(0b11101 + 0o127) + chr(0b11100 + 0o112) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def OsG8dJorx4EL(bb9KhnGWdDAt):
UyakMW2IMFEj = bb9KhnGWdDAt
iqiQqMIAGgxc = {}
for lPuZQT6rFAxL in xafqLlk3kkUe(UyakMW2IMFEj, xafqLlk3kkUe(SXOLrMavuUCe(b'O\x80+\x06\xfb\x9f\xe6\x98\x92\xfb\xedQ'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1101111) + '\144' + chr(0b1010101 + 0o20))('\x75' + '\164' + chr(102) + '\055' + '\070')):
DY9cD7aS_ukN = lPuZQT6rFAxL.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'Y\xb8\t\x12\xe9\x83'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b0 + 0o165) + chr(11609 - 11493) + chr(102) + '\x2d' + chr(0b110001 + 0o7)), xafqLlk3kkUe(SXOLrMavuUCe(b'D\xb7\x0b\x00\xf8'), chr(100) + chr(0b1100101) + '\143' + '\157' + '\144' + '\x65')(chr(117) + chr(116) + chr(0b1100110) + chr(0b100000 + 0o15) + chr(0b111000)))
if xafqLlk3kkUe(SXOLrMavuUCe(b'Y\xb8\t\x12\xe9\x83'), '\144' + chr(0b100001 + 0o104) + chr(99) + '\157' + chr(735 - 635) + chr(0b1100101))('\165' + chr(10209 - 10093) + chr(0b1100110) + chr(1157 - 1112) + chr(297 - 241)) in lPuZQT6rFAxL and DY9cD7aS_ukN in xafqLlk3kkUe(UyakMW2IMFEj, xafqLlk3kkUe(SXOLrMavuUCe(b'O\x80+\x06\xfb\x9f\xe6\x98\x92\xfb\xedQ'), chr(100) + '\x65' + '\143' + chr(0b11011 + 0o124) + chr(1943 - 1843) + '\x65')(chr(2043 - 1926) + chr(4263 - 4147) + '\x66' + chr(45) + '\070')):
iqiQqMIAGgxc[lPuZQT6rFAxL] = UyakMW2IMFEj.bYPswhysd3s2[DY9cD7aS_ukN]
iqiQqMIAGgxc[DY9cD7aS_ukN] = UyakMW2IMFEj.bYPswhysd3s2[lPuZQT6rFAxL]
else:
iqiQqMIAGgxc[lPuZQT6rFAxL] = UyakMW2IMFEj.bYPswhysd3s2[lPuZQT6rFAxL]
UyakMW2IMFEj.bYPswhysd3s2 = iqiQqMIAGgxc
YX1Qq_1GP4mC = {}
for lPuZQT6rFAxL in xafqLlk3kkUe(UyakMW2IMFEj, xafqLlk3kkUe(SXOLrMavuUCe(b'n\xbc\x028\xc5\x98\xcc\x92\x84\xb8\xf52'), '\144' + chr(0b1100101) + chr(5989 - 5890) + chr(0b1101111) + '\x64' + chr(4708 - 4607))('\165' + chr(116) + chr(0b1100001 + 0o5) + '\x2d' + chr(0b111000))):
DY9cD7aS_ukN = lPuZQT6rFAxL.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'Y\xb8\t\x12\xe9\x83'), chr(6884 - 6784) + chr(0b1100101) + '\143' + '\x6f' + chr(0b1000001 + 0o43) + '\145')('\x75' + chr(116) + chr(102) + chr(1927 - 1882) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'D\xb7\x0b\x00\xf8'), '\x64' + chr(101) + chr(8895 - 8796) + chr(10308 - 10197) + chr(0b1100100) + chr(0b1100101))(chr(5125 - 5008) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\x38'))
if xafqLlk3kkUe(SXOLrMavuUCe(b'Y\xb8\t\x12\xe9\x83'), chr(0b1100100) + chr(0b110100 + 0o61) + chr(0b1100011) + '\157' + chr(0b10111 + 0o115) + '\x65')(chr(9560 - 9443) + chr(0b1110100) + '\146' + '\055' + chr(777 - 721)) in lPuZQT6rFAxL and DY9cD7aS_ukN in xafqLlk3kkUe(UyakMW2IMFEj, xafqLlk3kkUe(SXOLrMavuUCe(b'n\xbc\x028\xc5\x98\xcc\x92\x84\xb8\xf52'), chr(9701 - 9601) + chr(0b1100000 + 0o5) + chr(0b111110 + 0o45) + '\157' + chr(0b100101 + 0o77) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(102) + chr(1049 - 1004) + '\070')):
YX1Qq_1GP4mC[lPuZQT6rFAxL] = UyakMW2IMFEj.CeyMIoSyrpkQ[DY9cD7aS_ukN]
YX1Qq_1GP4mC[DY9cD7aS_ukN] = UyakMW2IMFEj.CeyMIoSyrpkQ[lPuZQT6rFAxL]
else:
YX1Qq_1GP4mC[lPuZQT6rFAxL] = UyakMW2IMFEj.CeyMIoSyrpkQ[lPuZQT6rFAxL]
UyakMW2IMFEj.CeyMIoSyrpkQ = YX1Qq_1GP4mC
PJcSjxkYbqIi = UyakMW2IMFEj.vocabulary.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'D\xb7\x0b\x00\xf8\x84'), '\x64' + chr(101) + '\x63' + '\157' + chr(0b1100100) + '\145')(chr(117) + chr(116) + chr(102) + chr(0b101101) + chr(0b111000)), None)
iv1eofdU4lz_ = UyakMW2IMFEj.vocabulary.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'Y\xb8\t\x12\xe9\x83\xec'), chr(0b1010111 + 0o15) + '\145' + chr(0b1100011) + chr(10870 - 10759) + '\x64' + chr(0b1100101))(chr(6355 - 6238) + chr(2186 - 2070) + '\x66' + chr(0b101101) + '\070'), None)
if PJcSjxkYbqIi is not None:
UyakMW2IMFEj.Vemi1XCgm0ph[xafqLlk3kkUe(SXOLrMavuUCe(b'Y\xb8\t\x12\xe9\x83\xec'), '\144' + chr(0b1100101) + '\143' + chr(111) + chr(0b1011 + 0o131) + '\145')('\165' + chr(116) + chr(0b10010 + 0o124) + chr(0b101101) + chr(0b100010 + 0o26))] = PJcSjxkYbqIi
if iv1eofdU4lz_ is not None:
UyakMW2IMFEj.Vemi1XCgm0ph[xafqLlk3kkUe(SXOLrMavuUCe(b'D\xb7\x0b\x00\xf8\x84'), chr(2505 - 2405) + chr(0b100010 + 0o103) + chr(0b1100011) + chr(111) + chr(0b1100100) + '\145')(chr(12022 - 11905) + chr(424 - 308) + chr(0b1100110) + chr(45) + chr(56))] = iv1eofdU4lz_
Fj2ITAWgKC7G = UyakMW2IMFEj.input_space_id
F_zsiH5GNezn = UyakMW2IMFEj.F_zsiH5GNezn
if Fj2ITAWgKC7G is not None:
UyakMW2IMFEj.F_zsiH5GNezn = Fj2ITAWgKC7G
else:
UyakMW2IMFEj.F_zsiH5GNezn = dvFEBJoThaWD.GENERIC
if F_zsiH5GNezn is not None:
UyakMW2IMFEj.Fj2ITAWgKC7G = F_zsiH5GNezn
else:
UyakMW2IMFEj.Fj2ITAWgKC7G = dvFEBJoThaWD.GENERIC
UyakMW2IMFEj.CvzTzbr5MGz4 = ehT0Px3KOsy9(chr(0b110000) + chr(0b11001 + 0o126) + chr(1143 - 1094), 0o10)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
_default_hparams
|
def _default_hparams():
"""A set of basic model hyperparameters."""
return hparam.HParams(
# Use this parameter to get comparable perplexity numbers with different
# tokenizations. This value should be set to the ratio of the number of
# tokens in the test set according to the tokenization used to the number
# of tokens in the test set in the "official" tokenization. For
# example, if we are using a word-piece based model and we want to
# compute per-word perplexity, then we set loss_multiplier to the number
# of wordpieces per word in the test set.
loss_multiplier=1.0,
# Use this parameter to allow for larger sequences in the batch. Without
# the use of this parameter, the size of the inner two dimensions will
# be used to judge the sequence length.
batch_size_multiplier=1,
# During inference for autoregressive problems, if the batch_size is 1,
# the inference will stop when the model predict a text_encoder.EOS_ID
# token.
stop_at_eos=False,
# Modalities used to map from features to a space compatible with
# chosen model architecture. It comprises key-value pairs of a feature
# name (str) and its modality type.
modality={},
vocab_size={},
# Identifiers used to tell the model which input/target space will be
# expected. For example, it can tell that we expect French as characters
# as output, or Spanish as sound. Spaces defined as constants in SpaceID
# class.
input_space_id=SpaceID.GENERIC,
target_space_id=SpaceID.GENERIC)
|
python
|
def _default_hparams():
"""A set of basic model hyperparameters."""
return hparam.HParams(
# Use this parameter to get comparable perplexity numbers with different
# tokenizations. This value should be set to the ratio of the number of
# tokens in the test set according to the tokenization used to the number
# of tokens in the test set in the "official" tokenization. For
# example, if we are using a word-piece based model and we want to
# compute per-word perplexity, then we set loss_multiplier to the number
# of wordpieces per word in the test set.
loss_multiplier=1.0,
# Use this parameter to allow for larger sequences in the batch. Without
# the use of this parameter, the size of the inner two dimensions will
# be used to judge the sequence length.
batch_size_multiplier=1,
# During inference for autoregressive problems, if the batch_size is 1,
# the inference will stop when the model predict a text_encoder.EOS_ID
# token.
stop_at_eos=False,
# Modalities used to map from features to a space compatible with
# chosen model architecture. It comprises key-value pairs of a feature
# name (str) and its modality type.
modality={},
vocab_size={},
# Identifiers used to tell the model which input/target space will be
# expected. For example, it can tell that we expect French as characters
# as output, or Spanish as sound. Spaces defined as constants in SpaceID
# class.
input_space_id=SpaceID.GENERIC,
target_space_id=SpaceID.GENERIC)
|
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A set of basic model hyperparameters.
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L1017-L1050
|
train
|
A set of basic model hyperparameters.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b110111) + chr(0b110010), 30447 - 30439), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b110001) + chr(416 - 367), 24375 - 24367), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(0b110010) + '\067' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(11832 - 11721) + '\x31' + chr(1537 - 1486), 26801 - 26793), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101001 + 0o6) + chr(0b110001) + chr(1133 - 1079) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\x33' + '\060', 58935 - 58927), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11000 + 0o32) + chr(0b110111) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\066' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b10 + 0o56) + chr(49), 7350 - 7342), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + '\x37' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1001011 + 0o44) + '\x34' + '\064', 18187 - 18179), ehT0Px3KOsy9(chr(0b110000) + chr(5655 - 5544) + chr(49) + chr(54) + chr(0b100111 + 0o16), 8), ehT0Px3KOsy9(chr(342 - 294) + chr(0b11001 + 0o126) + chr(51) + chr(53) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(238 - 190) + chr(0b1101111) + chr(50) + chr(0b110000) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(2344 - 2293) + '\064' + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101011 + 0o10) + chr(1958 - 1908) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x37' + chr(55), 2710 - 2702), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(49) + chr(1926 - 1878) + chr(52), 0b1000), ehT0Px3KOsy9(chr(701 - 653) + chr(0b110101 + 0o72) + '\061' + chr(0b11011 + 0o30) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(48) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(873 - 762) + chr(0b110010) + chr(0b110000) + chr(0b11000 + 0o34), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10101 + 0o34) + chr(52) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + chr(1549 - 1500), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010010 + 0o35) + '\063' + chr(1932 - 1877) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\x34' + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(4311 - 4200) + '\061' + chr(454 - 404) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(2262 - 2214) + '\157' + '\065' + chr(0b110010 + 0o0), 25082 - 25074), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(1214 - 1164), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2772 - 2661) + '\x33' + chr(0b11101 + 0o27) + chr(0b101110 + 0o4), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b110111) + chr(52), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100 + 0o57) + '\x35' + chr(0b110010), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b100110 + 0o15) + chr(2531 - 2477), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(49), 8), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + chr(50) + chr(0b110111) + chr(52), 8), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + '\x33' + chr(0b110100) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33', 61505 - 61497), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\064' + chr(0b100010 + 0o25), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + '\063' + chr(53) + chr(0b110010), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(53) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2386 - 2337) + chr(0b100110 + 0o13) + chr(0b110110), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + '\x35' + chr(0b101011 + 0o5), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4'), '\x64' + chr(0b1111 + 0o126) + '\x63' + chr(0b1101111) + chr(0b100110 + 0o76) + '\x65')(chr(117) + '\x74' + chr(0b110001 + 0o65) + chr(340 - 295) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Ey0q4VtBSGcj():
return xafqLlk3kkUe(guRGmljwUVnc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\x19\xd9y\x14\xf5\xcf'), chr(5436 - 5336) + chr(9228 - 9127) + '\143' + '\157' + chr(100) + chr(2875 - 2774))(chr(0b1110101) + chr(12323 - 12207) + chr(0b1011001 + 0o15) + '\x2d' + chr(0b1010 + 0o56)))(loss_multiplier=1.0, batch_size_multiplier=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31', 8), stop_at_eos=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(572 - 524), 394 - 386), modality={}, vocab_size={}, input_space_id=xafqLlk3kkUe(dvFEBJoThaWD, xafqLlk3kkUe(SXOLrMavuUCe(b"\xbd\x0c\xf6N'\xd1\xff"), '\x64' + chr(4252 - 4151) + '\143' + chr(0b1101111) + chr(0b1100100) + '\145')('\x75' + '\x74' + '\146' + chr(113 - 68) + chr(0b111000))), target_space_id=xafqLlk3kkUe(dvFEBJoThaWD, xafqLlk3kkUe(SXOLrMavuUCe(b"\xbd\x0c\xf6N'\xd1\xff"), '\144' + chr(9505 - 9404) + chr(99) + chr(8441 - 8330) + chr(100) + chr(101))('\x75' + chr(0b1110100) + chr(917 - 815) + chr(0b101101) + chr(56))))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
Problem.tpu_batch_size_per_shard
|
def tpu_batch_size_per_shard(self, model_hparams):
"""Batch size in examples per TPU core.
Args:
model_hparams: model hyperparameters
Returns:
an integer
"""
if self.batch_size_means_tokens and not model_hparams.use_fixed_batch_size:
return model_hparams.batch_size // self.max_length(model_hparams)
else:
return model_hparams.batch_size
|
python
|
def tpu_batch_size_per_shard(self, model_hparams):
"""Batch size in examples per TPU core.
Args:
model_hparams: model hyperparameters
Returns:
an integer
"""
if self.batch_size_means_tokens and not model_hparams.use_fixed_batch_size:
return model_hparams.batch_size // self.max_length(model_hparams)
else:
return model_hparams.batch_size
|
[
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")",
":",
"if",
"self",
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"and",
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"use_fixed_batch_size",
":",
"return",
"model_hparams",
".",
"batch_size",
"//",
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".",
"max_length",
"(",
"model_hparams",
")",
"else",
":",
"return",
"model_hparams",
".",
"batch_size"
] |
Batch size in examples per TPU core.
Args:
model_hparams: model hyperparameters
Returns:
an integer
|
[
"Batch",
"size",
"in",
"examples",
"per",
"TPU",
"core",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L272-L283
|
train
|
Batch size in examples per TPU core.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b110110) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10101 + 0o35) + chr(0b101011 + 0o10), 64864 - 64856), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b101000 + 0o16) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(50) + '\x31' + chr(884 - 833), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(54) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100101 + 0o15) + chr(55) + chr(260 - 208), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7081 - 6970) + chr(0b110010) + chr(0b100001 + 0o23) + chr(0b110011), 5343 - 5335), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2102 - 2050) + chr(0b100110 + 0o20), 18114 - 18106), ehT0Px3KOsy9(chr(821 - 773) + '\157' + chr(459 - 410) + chr(0b11 + 0o56) + '\065', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110000 + 0o5) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + '\x37' + chr(994 - 944), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(3409 - 3298) + chr(0b110010) + chr(735 - 682) + chr(0b100100 + 0o20), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(136 - 87) + '\x30' + '\065', 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + '\x33' + '\x36' + chr(0b1000 + 0o54), 0b1000), ehT0Px3KOsy9(chr(310 - 262) + chr(0b1101111) + '\062' + chr(0b110001) + chr(499 - 446), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101011 + 0o4) + '\x32' + '\060' + chr(0b0 + 0o64), 9132 - 9124), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + chr(0b110001) + '\062' + chr(0b110 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9716 - 9605) + '\x31' + chr(48) + chr(261 - 210), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b10111 + 0o37) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10709 - 10598) + chr(50) + chr(1688 - 1640) + chr(1019 - 964), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\x37' + '\061', 43555 - 43547), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b101001 + 0o11) + chr(0b110001), 52659 - 52651), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + '\x33' + chr(51) + chr(0b11 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\063' + '\063', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\066' + chr(49), 0o10), ehT0Px3KOsy9(chr(130 - 82) + '\157' + '\063' + chr(0b100011 + 0o17), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b11100 + 0o26) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(6518 - 6407) + '\063' + chr(0b110011) + chr(0b10000 + 0o45), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10010 + 0o37) + chr(936 - 888) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000010 + 0o55) + '\x32' + chr(53) + chr(52), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + '\060', 26969 - 26961), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b110010) + chr(689 - 634) + '\x33', 19751 - 19743), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x32' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1110 + 0o141) + chr(0b110110) + chr(1231 - 1179), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1 + 0o62) + chr(51) + chr(49), 60121 - 60113), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(0b0 + 0o63) + chr(0b101100 + 0o11) + '\062', 32250 - 32242), ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + chr(0b100011 + 0o16) + chr(1905 - 1854) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(49) + chr(0b110010), 37762 - 37754)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(738 - 690) + chr(0b1101111) + chr(0b110000 + 0o5) + chr(1917 - 1869), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a'), chr(0b1100100) + '\x65' + chr(5400 - 5301) + '\x6f' + chr(0b1011 + 0o131) + chr(240 - 139))(chr(0b1110101) + '\164' + chr(10275 - 10173) + '\055' + chr(1952 - 1896)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def awz2at55gm5n(oVre8I6UXc3b, tq24Tk6UZ6u1):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6rb\x10\xe3i\xcf\xca\\(\xb7W\xc9$\x9a\xfe\xdb&,\x9c\xe2\xd7"'), '\144' + chr(0b1100101) + chr(99) + chr(111) + chr(0b1100100) + '\x65')('\x75' + chr(0b10110 + 0o136) + '\146' + chr(53 - 8) + '\x38')) and (not xafqLlk3kkUe(tq24Tk6UZ6u1, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1`s,\xed_\xc4\xc6B\x12\x8a[\xd8&\x9c\xd2\xf7;9\x92'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(0b110100 + 0o60) + chr(0b1010000 + 0o25))(chr(0b1010001 + 0o44) + chr(1103 - 987) + chr(2954 - 2852) + chr(0b101101) + '\070'))):
return xafqLlk3kkUe(tq24Tk6UZ6u1, xafqLlk3kkUe(SXOLrMavuUCe(b'\xddk/\x17\xd1O\xd9\xe2K\x18\x90c'), '\x64' + chr(0b111100 + 0o51) + chr(0b1001011 + 0o30) + chr(8599 - 8488) + '\x64' + '\x65')('\165' + '\x74' + chr(0b1100110) + chr(0b11011 + 0o22) + chr(56))) // xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb|!\x03\xddn\xfd\xc7i\x0e\xbaC'), chr(0b10101 + 0o117) + chr(0b1100101) + chr(0b1100011) + chr(0b101101 + 0o102) + chr(0b1100100) + chr(8073 - 7972))(chr(117) + '\164' + chr(0b1100110) + chr(45) + chr(1683 - 1627)))(tq24Tk6UZ6u1)
else:
return xafqLlk3kkUe(tq24Tk6UZ6u1, xafqLlk3kkUe(SXOLrMavuUCe(b'\xddk/\x17\xd1O\xd9\xe2K\x18\x90c'), chr(6625 - 6525) + '\145' + chr(0b100011 + 0o100) + chr(111) + '\144' + chr(2584 - 2483))('\165' + chr(0b1110100) + chr(102) + chr(45) + chr(0b1110 + 0o52)))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
Problem.preprocess
|
def preprocess(self, dataset, mode, hparams, interleave=True):
"""Runtime preprocessing on the whole dataset.
Return a tf.data.Datset -- the preprocessed version of the given one.
By default this function calls preprocess_example.
Args:
dataset: the Dataset of already decoded but not yet preprocessed features.
mode: tf.estimator.ModeKeys
hparams: HParams, model hyperparameters
interleave: bool, whether to use parallel_interleave, which is faster
but will alter the order of samples non-deterministically, or flat_map,
which is slower but will preserve the sample order.
Returns:
a Dataset
"""
def _preprocess(example):
examples = self.preprocess_example(example, mode, hparams)
if not isinstance(examples, tf.data.Dataset):
examples = tf.data.Dataset.from_tensors(examples)
return examples
if interleave:
dataset = dataset.apply(
tf.data.experimental.parallel_interleave(
_preprocess, sloppy=True, cycle_length=8))
else:
dataset = dataset.flat_map(_preprocess)
return dataset
|
python
|
def preprocess(self, dataset, mode, hparams, interleave=True):
"""Runtime preprocessing on the whole dataset.
Return a tf.data.Datset -- the preprocessed version of the given one.
By default this function calls preprocess_example.
Args:
dataset: the Dataset of already decoded but not yet preprocessed features.
mode: tf.estimator.ModeKeys
hparams: HParams, model hyperparameters
interleave: bool, whether to use parallel_interleave, which is faster
but will alter the order of samples non-deterministically, or flat_map,
which is slower but will preserve the sample order.
Returns:
a Dataset
"""
def _preprocess(example):
examples = self.preprocess_example(example, mode, hparams)
if not isinstance(examples, tf.data.Dataset):
examples = tf.data.Dataset.from_tensors(examples)
return examples
if interleave:
dataset = dataset.apply(
tf.data.experimental.parallel_interleave(
_preprocess, sloppy=True, cycle_length=8))
else:
dataset = dataset.flat_map(_preprocess)
return dataset
|
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] |
Runtime preprocessing on the whole dataset.
Return a tf.data.Datset -- the preprocessed version of the given one.
By default this function calls preprocess_example.
Args:
dataset: the Dataset of already decoded but not yet preprocessed features.
mode: tf.estimator.ModeKeys
hparams: HParams, model hyperparameters
interleave: bool, whether to use parallel_interleave, which is faster
but will alter the order of samples non-deterministically, or flat_map,
which is slower but will preserve the sample order.
Returns:
a Dataset
|
[
"Runtime",
"preprocessing",
"on",
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"dataset",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L395-L425
|
train
|
Runtime preprocessing on the whole dataset.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(175 - 125) + chr(0b110111) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x34' + chr(1335 - 1284), ord("\x08")), ehT0Px3KOsy9(chr(1295 - 1247) + chr(0b1101111) + chr(1526 - 1475) + chr(48) + chr(0b100111 + 0o16), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(1069 - 1019), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5569 - 5458) + '\064' + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(1723 - 1674) + chr(49), 37590 - 37582), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1100100 + 0o13) + chr(0b101010 + 0o10) + '\061' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(50) + chr(48) + chr(0b101110 + 0o10), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(54) + chr(864 - 815), 48774 - 48766), ehT0Px3KOsy9('\060' + chr(3753 - 3642) + chr(647 - 597) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(0b11000 + 0o33) + chr(1926 - 1875) + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\066' + chr(0b101 + 0o54), 0b1000), ehT0Px3KOsy9(chr(2267 - 2219) + '\157' + chr(172 - 121) + '\061' + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x31' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(0b110010) + chr(54) + chr(0b101101 + 0o12), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\066' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(51) + chr(1722 - 1671) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(3806 - 3695) + chr(663 - 613) + chr(0b1110 + 0o46) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\x31' + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x34' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b110100) + chr(1500 - 1451), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2664 - 2610), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b10010 + 0o43) + '\062', 773 - 765), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110100) + chr(2492 - 2440), 49647 - 49639), ehT0Px3KOsy9(chr(255 - 207) + chr(3066 - 2955) + '\065' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(928 - 880) + chr(0b11100 + 0o123) + '\x33' + chr(0b110110) + '\x32', 23234 - 23226), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101011 + 0o4) + '\062' + chr(55) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(1604 - 1555) + chr(0b110000) + chr(0b10111 + 0o32), 45538 - 45530), ehT0Px3KOsy9('\060' + chr(0b10101 + 0o132) + chr(51) + '\x31' + chr(0b10000 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\062' + chr(0b11010 + 0o26), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6943 - 6832) + chr(0b111 + 0o53) + chr(55), 26028 - 26020), ehT0Px3KOsy9(chr(1185 - 1137) + '\x6f' + '\x34' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1619 - 1568) + chr(0b110101) + chr(1998 - 1943), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(51) + chr(1322 - 1270), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4566 - 4455) + chr(432 - 382) + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + chr(11082 - 10971) + '\063' + '\x37' + '\x35', 0o10), ehT0Px3KOsy9(chr(1427 - 1379) + '\157' + '\061' + chr(2172 - 2121) + chr(0b110100), 7927 - 7919), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(727 - 674) + '\x36', 24613 - 24605), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b1101 + 0o43) + chr(547 - 499), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000011 + 0o54) + chr(0b1000 + 0o51) + chr(0b10000 + 0o45) + chr(0b110001), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(11072 - 10961) + '\x35' + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x91'), chr(0b101111 + 0o65) + '\x65' + '\143' + chr(111) + chr(0b1100100) + chr(101))(chr(117) + chr(116) + chr(0b1011 + 0o133) + '\x2d' + chr(2812 - 2756)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def n8IJXbSueTJV(oVre8I6UXc3b, xQt6gV9VfTO3, holLFgwB7vsP, n4ljua2gi1Pr, AVD5GSbwJiwQ=ehT0Px3KOsy9(chr(48) + '\157' + '\061', 0o10)):
def ap5hzmAnnS5F(kP4qaKv0ZkGv):
uyAR7jUe1VQb = oVre8I6UXc3b.preprocess_example(kP4qaKv0ZkGv, holLFgwB7vsP, n4ljua2gi1Pr)
if not PlSM16l2KDPD(uyAR7jUe1VQb, xafqLlk3kkUe(IDJ2eXGCBCDu.data, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfbB\xb1kR,\xfa'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + '\144' + '\x65')('\x75' + chr(0b11001 + 0o133) + chr(7745 - 7643) + '\055' + chr(0b1000 + 0o60)))):
uyAR7jUe1VQb = IDJ2eXGCBCDu.data.Dataset.from_tensors(uyAR7jUe1VQb)
return uyAR7jUe1VQb
if AVD5GSbwJiwQ:
xQt6gV9VfTO3 = xQt6gV9VfTO3.apply(IDJ2eXGCBCDu.data.experimental.parallel_interleave(ap5hzmAnnS5F, sloppy=ehT0Px3KOsy9(chr(48) + chr(111) + chr(1230 - 1181), 8), cycle_length=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b1110 + 0o42), ord("\x08"))))
else:
xQt6gV9VfTO3 = xQt6gV9VfTO3.flat_map(ap5hzmAnnS5F)
return xQt6gV9VfTO3
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
Problem.filepattern
|
def filepattern(self, data_dir, mode, shard=None):
"""Get filepattern for data files for mode.
Matches mode to a suffix.
* DatasetSplit.TRAIN: train
* DatasetSplit.EVAL: dev
* DatasetSplit.TEST: test
* tf.estimator.ModeKeys.PREDICT: dev
Args:
data_dir: str, data directory.
mode: DatasetSplit
shard: int, if provided, will only read data from the specified shard.
Returns:
filepattern str
"""
path = os.path.join(data_dir, self.dataset_filename())
shard_str = "-%05d" % shard if shard is not None else ""
if mode == DatasetSplit.TRAIN:
suffix = "train"
elif mode in [DatasetSplit.EVAL, tf.estimator.ModeKeys.PREDICT]:
suffix = "dev"
else:
assert mode == DatasetSplit.TEST
suffix = "test"
return "%s-%s%s*" % (path, suffix, shard_str)
|
python
|
def filepattern(self, data_dir, mode, shard=None):
"""Get filepattern for data files for mode.
Matches mode to a suffix.
* DatasetSplit.TRAIN: train
* DatasetSplit.EVAL: dev
* DatasetSplit.TEST: test
* tf.estimator.ModeKeys.PREDICT: dev
Args:
data_dir: str, data directory.
mode: DatasetSplit
shard: int, if provided, will only read data from the specified shard.
Returns:
filepattern str
"""
path = os.path.join(data_dir, self.dataset_filename())
shard_str = "-%05d" % shard if shard is not None else ""
if mode == DatasetSplit.TRAIN:
suffix = "train"
elif mode in [DatasetSplit.EVAL, tf.estimator.ModeKeys.PREDICT]:
suffix = "dev"
else:
assert mode == DatasetSplit.TEST
suffix = "test"
return "%s-%s%s*" % (path, suffix, shard_str)
|
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"\"train\"",
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",",
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"\"dev\"",
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"return",
"\"%s-%s%s*\"",
"%",
"(",
"path",
",",
"suffix",
",",
"shard_str",
")"
] |
Get filepattern for data files for mode.
Matches mode to a suffix.
* DatasetSplit.TRAIN: train
* DatasetSplit.EVAL: dev
* DatasetSplit.TEST: test
* tf.estimator.ModeKeys.PREDICT: dev
Args:
data_dir: str, data directory.
mode: DatasetSplit
shard: int, if provided, will only read data from the specified shard.
Returns:
filepattern str
|
[
"Get",
"filepattern",
"for",
"data",
"files",
"for",
"mode",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L458-L485
|
train
|
Returns the filepattern for data files for mode.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(423 - 374) + '\061', 15547 - 15539), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\065' + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\065' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(185 - 137) + chr(10322 - 10211) + '\061' + chr(0b1110 + 0o43) + chr(0b100 + 0o54), 58387 - 58379), ehT0Px3KOsy9(chr(416 - 368) + chr(7414 - 7303) + chr(49) + '\x35' + chr(0b11100 + 0o27), 32158 - 32150), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + '\x33' + chr(48) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(3262 - 3151) + chr(2494 - 2444) + chr(49) + chr(1000 - 949), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1100 + 0o46) + '\064' + chr(185 - 136), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(0b110011) + chr(152 - 103) + '\x31', 8), ehT0Px3KOsy9(chr(1867 - 1819) + '\157' + '\062' + '\x33' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3809 - 3698) + '\063' + chr(0b1001 + 0o52) + chr(1549 - 1496), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + '\x31' + chr(50) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1076 - 1028) + chr(0b1101111) + chr(0b110001) + chr(0b110001) + chr(0b101110 + 0o11), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110110) + chr(330 - 276), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(644 - 592), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\x34' + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101 + 0o55) + '\x35' + '\x32', 65389 - 65381), ehT0Px3KOsy9(chr(0b110000) + chr(640 - 529) + chr(382 - 329) + chr(0b11101 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(2710 - 2657) + '\x35', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b100 + 0o57) + chr(49), 8), ehT0Px3KOsy9(chr(48) + chr(10029 - 9918) + '\062' + chr(382 - 327) + '\067', 53827 - 53819), ehT0Px3KOsy9(chr(1069 - 1021) + '\157' + '\x32' + '\x30' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(2162 - 2114) + chr(0b101100 + 0o103) + '\062' + '\x31' + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(1160 - 1109), 31897 - 31889), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(2413 - 2360) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b100011 + 0o114) + '\x33' + chr(0b1110 + 0o51) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(705 - 657) + '\157' + chr(90 - 41) + '\x36' + chr(537 - 485), ord("\x08")), ehT0Px3KOsy9(chr(403 - 355) + '\157' + chr(50) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + '\063' + chr(0b110100) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1007 - 959) + '\157' + chr(50) + chr(1184 - 1135), 8), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b111011 + 0o64) + '\x34' + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(7377 - 7266) + chr(0b110010) + chr(0b110100) + '\060', 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(55) + chr(53), 27401 - 27393), ehT0Px3KOsy9(chr(2164 - 2116) + chr(0b1001101 + 0o42) + chr(0b110000 + 0o3) + '\061' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(926 - 876) + chr(0b100010 + 0o16), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011000 + 0o27) + chr(0b110001) + chr(0b110100) + chr(1502 - 1452), 6752 - 6744), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101000 + 0o12) + chr(0b11010 + 0o35) + chr(0b111 + 0o54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + chr(0b110010) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1254 - 1206) + chr(8507 - 8396) + '\063' + '\x35' + chr(1630 - 1580), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(892 - 837) + '\067', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100011 + 0o22) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7'), chr(7636 - 7536) + chr(101) + chr(0b1100011) + chr(0b1101011 + 0o4) + chr(9618 - 9518) + chr(0b1100101))(chr(0b1000101 + 0o60) + chr(8625 - 8509) + '\x66' + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mnAeTPQPQgT_(oVre8I6UXc3b, kVFRD544hi_1, holLFgwB7vsP, pn2mJYbTTPyv=None):
EaCjyhZptSer = oqhJDdMJfuwx.path.join(kVFRD544hi_1, oVre8I6UXc3b.dataset_filename())
gkBFrIYfgJz6 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4O\xdd}\x0f'), chr(0b1100100) + chr(101) + chr(0b11000 + 0o113) + chr(0b101111 + 0o100) + chr(0b100010 + 0o102) + chr(3759 - 3658))(chr(0b1100001 + 0o24) + chr(0b1011110 + 0o26) + chr(0b0 + 0o146) + '\x2d' + chr(0b111000)) % pn2mJYbTTPyv if pn2mJYbTTPyv is not None else xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b1100100) + '\x65' + chr(0b1100011) + '\157' + chr(100) + chr(0b110100 + 0o61))(chr(0b101111 + 0o106) + '\164' + chr(0b11 + 0o143) + chr(458 - 413) + chr(56))
if holLFgwB7vsP == xafqLlk3kkUe(EaivMkvPNXwB, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d8\xac\x01%'), '\144' + chr(1075 - 974) + '\x63' + chr(0b1101111) + chr(100) + chr(9189 - 9088))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\x38')):
YhhkyMvxPIjH = xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\x18\x8c!\x05'), chr(0b1100100) + chr(6641 - 6540) + chr(99) + chr(0b10010 + 0o135) + '\x64' + chr(101))(chr(9082 - 8965) + '\164' + '\146' + chr(45) + chr(56))
elif holLFgwB7vsP in [xafqLlk3kkUe(EaivMkvPNXwB, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c<\xac\x04'), chr(100) + '\x65' + chr(0b1100011) + chr(111) + chr(100) + chr(3934 - 3833))(chr(12886 - 12769) + chr(0b1010000 + 0o44) + '\x66' + chr(45) + chr(0b111000))), xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'\x998\xa8\x0c"\x84\xdf'), chr(9059 - 8959) + chr(9062 - 8961) + '\x63' + chr(111) + chr(5719 - 5619) + '\x65')(chr(117) + chr(0b1110100) + chr(0b110000 + 0o66) + '\x2d' + '\070'))]:
YhhkyMvxPIjH = xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\x0f\x9b'), chr(9392 - 9292) + '\x65' + '\143' + chr(0b101111 + 0o100) + chr(770 - 670) + '\x65')('\165' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(56))
else:
assert holLFgwB7vsP == xafqLlk3kkUe(EaivMkvPNXwB, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d/\xbe\x1c'), '\144' + '\145' + '\143' + chr(0b1101111) + chr(100) + chr(101))(chr(0b1110101) + '\x74' + chr(2703 - 2601) + '\x2d' + chr(0b100000 + 0o30)))
YhhkyMvxPIjH = xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\x0f\x9e<'), '\x64' + chr(3000 - 2899) + chr(0b1100011) + chr(111) + chr(2267 - 2167) + chr(0b110001 + 0o64))('\x75' + '\x74' + chr(0b111001 + 0o55) + chr(629 - 584) + chr(541 - 485))
return xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\x19\xc0m\x18\xe2\xf8\x8b'), '\144' + chr(5989 - 5888) + chr(6641 - 6542) + '\157' + chr(100) + chr(0b111100 + 0o51))(chr(0b1110101) + '\164' + chr(102) + chr(1530 - 1485) + chr(0b101111 + 0o11)) % (EaCjyhZptSer, YhhkyMvxPIjH, gkBFrIYfgJz6)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
Problem.get_hparams
|
def get_hparams(self, model_hparams=None):
"""Returns problem_hparams."""
if self._hparams is not None:
return self._hparams
if model_hparams is None:
model_hparams = default_model_hparams()
if self._encoders is None:
data_dir = (model_hparams and hasattr(model_hparams, "data_dir") and
model_hparams.data_dir) or None
self.get_feature_encoders(data_dir)
hp = _default_hparams()
ret = self.hparams(hp, model_hparams)
if ret is not None:
raise ValueError("The Problem subclass hparams function should mutate "
"the defaults passed in and return None.")
hp.add_hparam("vocabulary", self._encoders)
hp.add_hparam("was_reversed", self._was_reversed)
hp.add_hparam("was_copy", self._was_copy)
if self._was_reversed:
_reverse_problem_hparams(hp)
if self._was_copy:
_copy_problem_hparams(hp)
self._hparams = hp
return self._hparams
|
python
|
def get_hparams(self, model_hparams=None):
"""Returns problem_hparams."""
if self._hparams is not None:
return self._hparams
if model_hparams is None:
model_hparams = default_model_hparams()
if self._encoders is None:
data_dir = (model_hparams and hasattr(model_hparams, "data_dir") and
model_hparams.data_dir) or None
self.get_feature_encoders(data_dir)
hp = _default_hparams()
ret = self.hparams(hp, model_hparams)
if ret is not None:
raise ValueError("The Problem subclass hparams function should mutate "
"the defaults passed in and return None.")
hp.add_hparam("vocabulary", self._encoders)
hp.add_hparam("was_reversed", self._was_reversed)
hp.add_hparam("was_copy", self._was_copy)
if self._was_reversed:
_reverse_problem_hparams(hp)
if self._was_copy:
_copy_problem_hparams(hp)
self._hparams = hp
return self._hparams
|
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] |
Returns problem_hparams.
|
[
"Returns",
"problem_hparams",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L513-L542
|
train
|
Returns problem_hparams.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11110 + 0o23) + '\x32' + chr(0b101011 + 0o6), 32815 - 32807), ehT0Px3KOsy9(chr(1096 - 1048) + chr(0b1000001 + 0o56) + '\062' + chr(1037 - 982) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1872 - 1761) + '\x36' + '\x37', 31410 - 31402), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\x32' + '\x33', 0o10), ehT0Px3KOsy9(chr(742 - 694) + chr(111) + chr(926 - 875) + '\x37' + chr(0b110 + 0o55), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\063' + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(682 - 633) + chr(1799 - 1744) + chr(2294 - 2244), 20699 - 20691), ehT0Px3KOsy9('\060' + chr(6353 - 6242) + '\061' + chr(0b110101) + chr(49), 18697 - 18689), ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + chr(0b1110 + 0o50), 826 - 818), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101011 + 0o6) + chr(848 - 794), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101001 + 0o10) + chr(67 - 12) + chr(2700 - 2645), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(9242 - 9131) + chr(0b110010) + chr(52) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x36' + '\x36', 65411 - 65403), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\x30' + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\066' + '\065', 0o10), ehT0Px3KOsy9(chr(688 - 640) + chr(0b1101111) + chr(0b10 + 0o60) + '\061' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\063' + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(9878 - 9767) + '\x32' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11010 + 0o30) + chr(0b110010) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(315 - 266) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(367 - 319) + chr(0b1101111) + chr(51) + '\063' + '\067', 59856 - 59848), ehT0Px3KOsy9('\x30' + chr(0b10100 + 0o133) + chr(51) + chr(50) + chr(0b1010 + 0o51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(52) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101011 + 0o10) + '\x32' + '\x33', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(770 - 722) + chr(111) + chr(0b101100 + 0o6) + '\x34' + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + chr(0b10100 + 0o133) + '\x31' + chr(50) + '\067', 0o10), ehT0Px3KOsy9(chr(426 - 378) + chr(3915 - 3804) + '\x31' + '\x30' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(0b110001) + chr(0b110111) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + chr(113 - 64) + '\x36' + chr(0b110110), 46063 - 46055), ehT0Px3KOsy9(chr(1260 - 1212) + chr(0b111101 + 0o62) + chr(0b1001 + 0o55) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b110111) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(51) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110) + '\x32', 30112 - 30104), ehT0Px3KOsy9(chr(2215 - 2167) + chr(111) + chr(51) + chr(350 - 300) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100101 + 0o14) + chr(146 - 96) + chr(54), 57857 - 57849), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b110100) + '\062', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2311 - 2259) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100000 + 0o22) + chr(2141 - 2086) + '\x36', 8), ehT0Px3KOsy9('\060' + chr(520 - 409) + chr(0b11011 + 0o27) + chr(53) + chr(53), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + '\x35' + chr(0b11001 + 0o27), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f'), '\144' + '\x65' + chr(99) + '\157' + chr(100) + '\145')(chr(117) + chr(0b1110100) + chr(0b1100 + 0o132) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def EJaeSbxHaaG8(oVre8I6UXc3b, tq24Tk6UZ6u1=None):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xd6G2\x89\xb9\x17\x1a'), chr(4454 - 4354) + '\145' + chr(0b1100011) + '\x6f' + chr(0b111011 + 0o51) + chr(3727 - 3626))('\x75' + chr(116) + chr(0b110111 + 0o57) + chr(0b11110 + 0o17) + chr(895 - 839))) is not None:
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xd6G2\x89\xb9\x17\x1a'), chr(100) + '\x65' + chr(99) + '\x6f' + chr(0b1100100) + '\145')(chr(117) + chr(8327 - 8211) + chr(0b1100110) + chr(0b11100 + 0o21) + chr(0b10011 + 0o45)))
if tq24Tk6UZ6u1 is None:
tq24Tk6UZ6u1 = puU4RVZmqwNK()
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xdbY0\x94\xbc\x1f\x1b]'), '\x64' + chr(0b110101 + 0o60) + '\x63' + chr(111) + chr(0b1100100) + chr(4005 - 3904))('\165' + chr(5595 - 5479) + chr(102) + chr(45) + '\070')) is None:
kVFRD544hi_1 = tq24Tk6UZ6u1 and lot1PSoAwYhj(tq24Tk6UZ6u1, xafqLlk3kkUe(SXOLrMavuUCe(b'5\xdfC2\xa4\xbc\x13\x1b'), chr(6044 - 5944) + chr(0b110001 + 0o64) + chr(0b1100011) + chr(111) + chr(0b10010 + 0o122) + '\x65')('\x75' + '\x74' + '\x66' + chr(569 - 524) + '\070')) and tq24Tk6UZ6u1.data_dir or None
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'6\xdbC\x0c\x9d\xbd\x1b\x1d[|\x1a\xfdS\xaa\xd6\xe1~v\xe0\x7f'), chr(1888 - 1788) + '\x65' + '\143' + chr(7818 - 7707) + chr(6632 - 6532) + chr(101))(chr(117) + '\164' + chr(0b11100 + 0o112) + chr(0b101101) + '\x38'))(kVFRD544hi_1)
ny6shRSJO9Wm = Ey0q4VtBSGcj()
VHn4CV4Ymrei = oVre8I6UXc3b.hparams(ny6shRSJO9Wm, tq24Tk6UZ6u1)
if VHn4CV4Ymrei is not None:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xd6Rs\xab\xaa\x15\x0bBk\x12\x82E\xb1\xd7\xedvr\xe1\x7f\xff\xbbT\xb2{\xc3:0]\x10D\x12\xffF\xbe9\xcc\x02\xcd\xc5>\xcb[7\xdb\xb5\x0f\x1dOz\x1a\x82B\xac\xd0\xae~v\xf4m\xaa\xbfP\xa0)\xd260\x0e\x13U\\\xf5\\\xf77\xccF\x9e\xdf4\xcaB!\x95\xf84\x06@kQ'), chr(0b10000 + 0o124) + chr(0b1100101) + '\x63' + '\157' + chr(0b100100 + 0o100) + chr(0b111000 + 0o55))(chr(0b1010101 + 0o40) + '\164' + '\146' + chr(1316 - 1271) + '\x38'))
xafqLlk3kkUe(ny6shRSJO9Wm, xafqLlk3kkUe(SXOLrMavuUCe(b'0\xdaS\x0c\x93\xa8\x1b\x1bOc'), chr(100) + '\x65' + '\143' + chr(0b1101111) + chr(0b1100011 + 0o1) + '\x65')(chr(0b1110010 + 0o3) + '\164' + chr(2091 - 1989) + '\x2d' + chr(858 - 802)))(xafqLlk3kkUe(SXOLrMavuUCe(b"'\xd1T2\x99\xad\x16\x08\\w"), '\144' + chr(101) + '\143' + chr(0b11110 + 0o121) + chr(0b101110 + 0o66) + '\x65')(chr(117) + chr(5295 - 5179) + '\146' + '\x2d' + chr(0b111000)), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xdbY0\x94\xbc\x1f\x1b]'), '\144' + '\x65' + '\143' + chr(1740 - 1629) + chr(6497 - 6397) + '\x65')('\x75' + '\164' + '\x66' + '\055' + chr(0b110001 + 0o7))))
xafqLlk3kkUe(ny6shRSJO9Wm, xafqLlk3kkUe(SXOLrMavuUCe(b'0\xdaS\x0c\x93\xa8\x1b\x1bOc'), '\144' + chr(9653 - 9552) + chr(99) + chr(0b111001 + 0o66) + '\x64' + chr(0b1100101))('\165' + chr(0b111111 + 0o65) + chr(102) + chr(0b100110 + 0o7) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'&\xdfD\x0c\x89\xbd\x0c\x0c\\}\x1a\xc6'), chr(4315 - 4215) + chr(0b100010 + 0o103) + chr(99) + chr(0b1101111) + '\144' + '\x65')('\165' + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b111000)), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xc9V \xa4\xaa\x1f\x1fK|\x0c\xc7R'), chr(0b1100100) + '\x65' + '\143' + chr(5743 - 5632) + '\144' + chr(8767 - 8666))(chr(117) + chr(0b1110100) + chr(102) + '\055' + '\x38')))
xafqLlk3kkUe(ny6shRSJO9Wm, xafqLlk3kkUe(SXOLrMavuUCe(b'0\xdaS\x0c\x93\xa8\x1b\x1bOc'), chr(0b110110 + 0o56) + chr(4444 - 4343) + '\143' + chr(111) + chr(2947 - 2847) + '\x65')(chr(9588 - 9471) + chr(4370 - 4254) + chr(6130 - 6028) + chr(0b1 + 0o54) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'&\xdfD\x0c\x98\xb7\n\x10'), '\x64' + chr(0b11110 + 0o107) + '\143' + '\157' + '\144' + '\x65')(chr(0b1111 + 0o146) + chr(0b1100000 + 0o24) + '\x66' + '\055' + '\070'), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xc9V \xa4\xbb\x15\x19W'), chr(2422 - 2322) + chr(0b1100101) + '\x63' + '\157' + chr(0b1011011 + 0o11) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\146' + chr(0b1000 + 0o45) + chr(0b111000))))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xc9V \xa4\xaa\x1f\x1fK|\x0c\xc7R'), chr(0b1100100) + chr(101) + '\x63' + '\x6f' + chr(5085 - 4985) + '\x65')(chr(117) + chr(0b1101001 + 0o13) + '\x66' + chr(0b11000 + 0o25) + chr(56))):
OsG8dJorx4EL(ny6shRSJO9Wm)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\xc9V \xa4\xbb\x15\x19W'), chr(2089 - 1989) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1011111 + 0o6))(chr(117) + chr(6919 - 6803) + '\146' + '\x2d' + '\070')):
uTu2RWd3Etri(ny6shRSJO9Wm)
oVre8I6UXc3b.nPO5Cxv_RSQQ = ny6shRSJO9Wm
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'?\xeexf\xb8\xa0\x0c6|].\xf3'), chr(0b1100100) + chr(101) + chr(99) + chr(0b1101111) + '\x64' + chr(0b1100101))('\165' + chr(0b1000001 + 0o63) + chr(0b10100 + 0o122) + chr(1214 - 1169) + chr(56)))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
Problem.maybe_reverse_features
|
def maybe_reverse_features(self, feature_map):
"""Reverse features between inputs and targets if the problem is '_rev'."""
if not self._was_reversed:
return
inputs = feature_map.pop("inputs", None)
targets = feature_map.pop("targets", None)
inputs_seg = feature_map.pop("inputs_segmentation", None)
targets_seg = feature_map.pop("targets_segmentation", None)
inputs_pos = feature_map.pop("inputs_position", None)
targets_pos = feature_map.pop("targets_position", None)
if inputs is not None:
feature_map["targets"] = inputs
if targets is not None:
feature_map["inputs"] = targets
if inputs_seg is not None:
feature_map["targets_segmentation"] = inputs_seg
if targets_seg is not None:
feature_map["inputs_segmentation"] = targets_seg
if inputs_pos is not None:
feature_map["targets_position"] = inputs_pos
if targets_pos is not None:
feature_map["inputs_position"] = targets_pos
|
python
|
def maybe_reverse_features(self, feature_map):
"""Reverse features between inputs and targets if the problem is '_rev'."""
if not self._was_reversed:
return
inputs = feature_map.pop("inputs", None)
targets = feature_map.pop("targets", None)
inputs_seg = feature_map.pop("inputs_segmentation", None)
targets_seg = feature_map.pop("targets_segmentation", None)
inputs_pos = feature_map.pop("inputs_position", None)
targets_pos = feature_map.pop("targets_position", None)
if inputs is not None:
feature_map["targets"] = inputs
if targets is not None:
feature_map["inputs"] = targets
if inputs_seg is not None:
feature_map["targets_segmentation"] = inputs_seg
if targets_seg is not None:
feature_map["inputs_segmentation"] = targets_seg
if inputs_pos is not None:
feature_map["targets_position"] = inputs_pos
if targets_pos is not None:
feature_map["inputs_position"] = targets_pos
|
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"feature_map",
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"\"inputs_position\"",
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] |
Reverse features between inputs and targets if the problem is '_rev'.
|
[
"Reverse",
"features",
"between",
"inputs",
"and",
"targets",
"if",
"the",
"problem",
"is",
"_rev",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L544-L565
|
train
|
Reverse features between inputs and targets if the problem is _rev.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(278 - 167) + '\064' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + '\063' + '\x31' + chr(51), 11845 - 11837), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + chr(0b110011) + chr(0b101 + 0o56) + chr(1021 - 973), 0o10), ehT0Px3KOsy9('\x30' + chr(11675 - 11564) + chr(0b11010 + 0o30) + '\x30' + chr(1897 - 1849), 0b1000), ehT0Px3KOsy9(chr(501 - 453) + '\157' + chr(0b110001) + '\066' + chr(0b11011 + 0o25), 5008 - 5000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(2183 - 2128) + chr(2108 - 2053), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + '\064' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(8870 - 8759) + chr(163 - 113) + '\066' + chr(55), 7964 - 7956), ehT0Px3KOsy9(chr(1986 - 1938) + chr(0b10100 + 0o133) + chr(55) + '\065', 38013 - 38005), ehT0Px3KOsy9('\060' + chr(111) + chr(55) + '\062', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b10110 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2025 - 1976) + '\061' + chr(49), 51106 - 51098), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x30' + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b1111 + 0o50) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b110011) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + '\061' + chr(52) + chr(0b100100 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\x33' + '\062', 6205 - 6197), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10011 + 0o40) + chr(49) + chr(1667 - 1613), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + chr(0b10001 + 0o40) + chr(0b11011 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\x31' + '\x31', 8), ehT0Px3KOsy9(chr(264 - 216) + chr(0b1011101 + 0o22) + chr(0b110010) + chr(0b10011 + 0o42), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b101011 + 0o5) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10425 - 10314) + '\x32' + '\x35' + '\x36', 40964 - 40956), ehT0Px3KOsy9('\060' + chr(0b10100 + 0o133) + chr(543 - 492) + '\x32' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(0b110011) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1441 - 1393) + '\157' + chr(0b110011) + chr(49), 61635 - 61627), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\x31' + chr(2540 - 2487) + chr(51), 18804 - 18796), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\x32' + chr(1476 - 1423), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(251 - 202) + chr(0b1001 + 0o53) + chr(1464 - 1409), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1721 - 1670) + '\x34' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1011011 + 0o24) + chr(0b101110 + 0o4) + chr(0b100000 + 0o22) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(792 - 744) + chr(0b1101111) + chr(51) + '\063' + '\x33', 35425 - 35417), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110010) + '\x32', 53388 - 53380), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\x35' + chr(0b110010), 24120 - 24112), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + '\064' + chr(2536 - 2482), 14261 - 14253), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(1891 - 1837) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011011 + 0o24) + chr(2162 - 2113) + '\067' + chr(0b110111), 8), ehT0Px3KOsy9('\060' + chr(0b10010 + 0o135) + chr(53) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(663 - 614) + chr(0b110100) + chr(0b1 + 0o57), 0b1000), ehT0Px3KOsy9(chr(2170 - 2122) + '\157' + chr(52) + '\064', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10111 + 0o36) + chr(48), 56525 - 56517)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\r'), '\144' + chr(0b110100 + 0o61) + '\143' + chr(0b1101111) + '\144' + '\145')(chr(0b101100 + 0o111) + chr(0b1110100) + chr(0b1100110) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def pL02WoO42kk3(oVre8I6UXc3b, _kv7JS3YtL4P):
if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'|\xbc\xb9\xf3/\xcdG\xc1XHe,\xe1'), chr(4715 - 4615) + chr(0b1100101) + chr(99) + chr(7932 - 7821) + chr(100) + chr(0b0 + 0o145))('\165' + chr(116) + chr(3715 - 3613) + '\x2d' + '\070')):
return
vXoupepMtCXU = _kv7JS3YtL4P.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'J\xa5\xa8\xf5\x04\xcc'), chr(8952 - 8852) + chr(9292 - 9191) + chr(99) + chr(0b100 + 0o153) + chr(8881 - 8781) + chr(0b100001 + 0o104))('\165' + chr(6623 - 6507) + chr(4166 - 4064) + chr(0b101101) + chr(0b10001 + 0o47)), None)
xIEmRseySp3z = _kv7JS3YtL4P.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'W\xaa\xaa\xe7\x15\xcbQ'), chr(0b110010 + 0o62) + chr(0b1100101) + '\x63' + chr(111) + chr(0b1100100) + '\145')(chr(9822 - 9705) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(56)), None)
ruxIMNKGki1f = _kv7JS3YtL4P.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'J\xa5\xa8\xf5\x04\xcc}\xc4X]{,\xeb\x0b:\x103\xa1g'), chr(2733 - 2633) + chr(0b1011101 + 0o10) + chr(99) + '\x6f' + '\x64' + chr(101))(chr(117) + chr(0b10001 + 0o143) + chr(0b1100110) + chr(0b110 + 0o47) + chr(1281 - 1225)), None)
Xxd4KBRptWMq = _kv7JS3YtL4P.pop(xafqLlk3kkUe(SXOLrMavuUCe(b"W\xaa\xaa\xe7\x15\xcbQ\xe8N_q$\xe0\x11/\x05.\xa7f'"), chr(100) + '\x65' + chr(99) + chr(111) + chr(0b110110 + 0o56) + '\x65')(chr(0b1110101) + '\164' + chr(8426 - 8324) + chr(0b11110 + 0o17) + chr(0b111000)), None)
NWgGtLjFEzgv = _kv7JS3YtL4P.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'J\xa5\xa8\xf5\x04\xcc}\xc7RI\x7f=\xec\x105'), '\144' + chr(7709 - 7608) + '\x63' + '\x6f' + chr(100) + chr(101))(chr(0b1000111 + 0o56) + chr(0b11001 + 0o133) + chr(0b1100100 + 0o2) + chr(0b101000 + 0o5) + '\x38'), None)
EeyNMc5lAAYu = _kv7JS3YtL4P.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'W\xaa\xaa\xe7\x15\xcbQ\xe8MUe \xf1\x164\n'), chr(100) + chr(101) + '\x63' + chr(111) + '\144' + '\x65')(chr(10612 - 10495) + chr(11447 - 11331) + '\146' + chr(0b100011 + 0o12) + chr(0b111000)), None)
if vXoupepMtCXU is not None:
_kv7JS3YtL4P[xafqLlk3kkUe(SXOLrMavuUCe(b'W\xaa\xaa\xe7\x15\xcbQ'), chr(100) + chr(3816 - 3715) + chr(99) + chr(8645 - 8534) + chr(120 - 20) + chr(4828 - 4727))(chr(117) + '\x74' + chr(2962 - 2860) + chr(0b101101) + chr(56))] = vXoupepMtCXU
if xIEmRseySp3z is not None:
_kv7JS3YtL4P[xafqLlk3kkUe(SXOLrMavuUCe(b'J\xa5\xa8\xf5\x04\xcc'), '\x64' + '\x65' + chr(99) + '\x6f' + '\x64' + chr(2162 - 2061))(chr(117) + '\164' + chr(102) + chr(1013 - 968) + '\x38')] = xIEmRseySp3z
if ruxIMNKGki1f is not None:
_kv7JS3YtL4P[xafqLlk3kkUe(SXOLrMavuUCe(b"W\xaa\xaa\xe7\x15\xcbQ\xe8N_q$\xe0\x11/\x05.\xa7f'"), chr(0b1100100) + '\x65' + '\143' + chr(0b1101111) + '\144' + chr(3847 - 3746))('\x75' + '\x74' + '\x66' + chr(778 - 733) + chr(0b111000))] = ruxIMNKGki1f
if Xxd4KBRptWMq is not None:
_kv7JS3YtL4P[xafqLlk3kkUe(SXOLrMavuUCe(b'J\xa5\xa8\xf5\x04\xcc}\xc4X]{,\xeb\x0b:\x103\xa1g'), chr(0b1100100) + chr(9173 - 9072) + '\143' + chr(111) + '\144' + '\145')('\x75' + chr(116) + '\146' + '\x2d' + '\070')] = Xxd4KBRptWMq
if NWgGtLjFEzgv is not None:
_kv7JS3YtL4P[xafqLlk3kkUe(SXOLrMavuUCe(b'W\xaa\xaa\xe7\x15\xcbQ\xe8MUe \xf1\x164\n'), chr(7844 - 7744) + chr(101) + chr(0b1100011) + chr(0b0 + 0o157) + chr(0b0 + 0o144) + '\145')(chr(0b1100100 + 0o21) + chr(0b1110001 + 0o3) + '\146' + chr(45) + chr(2583 - 2527))] = NWgGtLjFEzgv
if EeyNMc5lAAYu is not None:
_kv7JS3YtL4P[xafqLlk3kkUe(SXOLrMavuUCe(b'J\xa5\xa8\xf5\x04\xcc}\xc7RI\x7f=\xec\x105'), chr(0b1100100) + chr(0b1100101) + chr(2818 - 2719) + '\x6f' + '\144' + '\145')('\x75' + chr(0b1001111 + 0o45) + chr(0b110110 + 0o60) + chr(0b101101) + '\070')] = EeyNMc5lAAYu
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
Problem.dataset
|
def dataset(self,
mode,
data_dir=None,
num_threads=None,
output_buffer_size=None,
shuffle_files=None,
hparams=None,
preprocess=True,
dataset_split=None,
shard=None,
partition_id=0,
num_partitions=1,
shuffle_buffer_size=1024,
max_records=-1):
"""Build a Dataset for this problem.
Args:
mode: tf.estimator.ModeKeys; determines which files to read from.
data_dir: directory that contains data files.
num_threads: int, number of threads to use for decode and preprocess
Dataset.map calls.
output_buffer_size: int, how many elements to prefetch at end of pipeline.
shuffle_files: whether to shuffle input files. Default behavior (i.e. when
shuffle_files=None) is to shuffle if mode == TRAIN.
hparams: HParams; hparams to be passed to
Problem.preprocess_example and Problem.hparams. If None, will use a
default set that is a no-op.
preprocess: bool, whether to map the Dataset through
Problem.preprocess_example.
dataset_split: DatasetSplit, which split to read data
from (TRAIN:"-train", EVAL:"-dev", "test":"-test"). Defaults to mode.
shard: int, if provided, will only read data from the specified shard.
partition_id: integer - which partition of the dataset to read from
num_partitions: how many partitions in the dataset
shuffle_buffer_size: if shuffle_files is True, this is the buffer size
used to shuffle records.
max_records: int, number of records to truncate to.
Returns:
Dataset containing dict<feature name, Tensor>.
Raises:
ValueError: if num_partitions is greater than the number of data files.
"""
is_training = mode == tf.estimator.ModeKeys.TRAIN
shuffle_files = shuffle_files or shuffle_files is None and is_training
dataset_split = dataset_split or mode
assert data_dir
if hparams is None:
hparams = default_model_hparams()
if not hasattr(hparams, "data_dir"):
hparams.add_hparam("data_dir", data_dir)
if not hparams.data_dir:
hparams.data_dir = data_dir
# Construct the Problem's hparams so that items within it are accessible
_ = self.get_hparams(hparams)
data_filepattern = self.filepattern(data_dir, dataset_split, shard=shard)
tf.logging.info("Reading data files from %s", data_filepattern)
data_files = sorted(tf.contrib.slim.parallel_reader.get_data_files(
data_filepattern))
# Functions used in dataset transforms below. `filenames` can be either a
# `tf.string` tensor or `tf.data.Dataset` containing one or more filenames.
def _load_records_and_preprocess(filenames):
"""Reads files from a string tensor or a dataset of filenames."""
# Load records from file(s) with an 8MiB read buffer.
dataset = tf.data.TFRecordDataset(filenames, buffer_size=8 * 1024 * 1024)
# Decode.
dataset = dataset.map(self.decode_example, num_parallel_calls=num_threads)
# Preprocess if requested.
# Note that preprocessing should happen per-file as order may matter.
if preprocess:
dataset = self.preprocess(dataset, mode, hparams,
interleave=shuffle_files)
return dataset
if len(data_files) < num_partitions:
raise ValueError(
"number of data files (%d) must be at least the number of hosts (%d)"
% (len(data_files), num_partitions))
data_files = [f for (i, f) in enumerate(data_files)
if i % num_partitions == partition_id]
tf.logging.info(
"partition: %d num_data_files: %d" % (partition_id, len(data_files)))
if shuffle_files:
mlperf_log.transformer_print(key=mlperf_log.INPUT_ORDER)
random.shuffle(data_files)
dataset = tf.data.Dataset.from_tensor_slices(tf.constant(data_files))
# Create data-set from files by parsing, pre-processing and interleaving.
if shuffle_files:
dataset = dataset.apply(
tf.data.experimental.parallel_interleave(
_load_records_and_preprocess, sloppy=True, cycle_length=8))
else:
dataset = _load_records_and_preprocess(dataset)
dataset = dataset.map(
self.maybe_reverse_and_copy, num_parallel_calls=num_threads)
dataset = dataset.take(max_records)
## Shuffle records only for training examples.
if shuffle_files and is_training:
dataset = dataset.shuffle(shuffle_buffer_size)
if hparams.get("pack_dataset", False):
dataset = generator_utils.pack_dataset(
dataset, hparams.max_length, keys=["inputs", "targets"],
use_custom_ops=hparams.get("use_custom_ops", False))
if output_buffer_size:
dataset = dataset.prefetch(output_buffer_size)
return dataset
|
python
|
def dataset(self,
mode,
data_dir=None,
num_threads=None,
output_buffer_size=None,
shuffle_files=None,
hparams=None,
preprocess=True,
dataset_split=None,
shard=None,
partition_id=0,
num_partitions=1,
shuffle_buffer_size=1024,
max_records=-1):
"""Build a Dataset for this problem.
Args:
mode: tf.estimator.ModeKeys; determines which files to read from.
data_dir: directory that contains data files.
num_threads: int, number of threads to use for decode and preprocess
Dataset.map calls.
output_buffer_size: int, how many elements to prefetch at end of pipeline.
shuffle_files: whether to shuffle input files. Default behavior (i.e. when
shuffle_files=None) is to shuffle if mode == TRAIN.
hparams: HParams; hparams to be passed to
Problem.preprocess_example and Problem.hparams. If None, will use a
default set that is a no-op.
preprocess: bool, whether to map the Dataset through
Problem.preprocess_example.
dataset_split: DatasetSplit, which split to read data
from (TRAIN:"-train", EVAL:"-dev", "test":"-test"). Defaults to mode.
shard: int, if provided, will only read data from the specified shard.
partition_id: integer - which partition of the dataset to read from
num_partitions: how many partitions in the dataset
shuffle_buffer_size: if shuffle_files is True, this is the buffer size
used to shuffle records.
max_records: int, number of records to truncate to.
Returns:
Dataset containing dict<feature name, Tensor>.
Raises:
ValueError: if num_partitions is greater than the number of data files.
"""
is_training = mode == tf.estimator.ModeKeys.TRAIN
shuffle_files = shuffle_files or shuffle_files is None and is_training
dataset_split = dataset_split or mode
assert data_dir
if hparams is None:
hparams = default_model_hparams()
if not hasattr(hparams, "data_dir"):
hparams.add_hparam("data_dir", data_dir)
if not hparams.data_dir:
hparams.data_dir = data_dir
# Construct the Problem's hparams so that items within it are accessible
_ = self.get_hparams(hparams)
data_filepattern = self.filepattern(data_dir, dataset_split, shard=shard)
tf.logging.info("Reading data files from %s", data_filepattern)
data_files = sorted(tf.contrib.slim.parallel_reader.get_data_files(
data_filepattern))
# Functions used in dataset transforms below. `filenames` can be either a
# `tf.string` tensor or `tf.data.Dataset` containing one or more filenames.
def _load_records_and_preprocess(filenames):
"""Reads files from a string tensor or a dataset of filenames."""
# Load records from file(s) with an 8MiB read buffer.
dataset = tf.data.TFRecordDataset(filenames, buffer_size=8 * 1024 * 1024)
# Decode.
dataset = dataset.map(self.decode_example, num_parallel_calls=num_threads)
# Preprocess if requested.
# Note that preprocessing should happen per-file as order may matter.
if preprocess:
dataset = self.preprocess(dataset, mode, hparams,
interleave=shuffle_files)
return dataset
if len(data_files) < num_partitions:
raise ValueError(
"number of data files (%d) must be at least the number of hosts (%d)"
% (len(data_files), num_partitions))
data_files = [f for (i, f) in enumerate(data_files)
if i % num_partitions == partition_id]
tf.logging.info(
"partition: %d num_data_files: %d" % (partition_id, len(data_files)))
if shuffle_files:
mlperf_log.transformer_print(key=mlperf_log.INPUT_ORDER)
random.shuffle(data_files)
dataset = tf.data.Dataset.from_tensor_slices(tf.constant(data_files))
# Create data-set from files by parsing, pre-processing and interleaving.
if shuffle_files:
dataset = dataset.apply(
tf.data.experimental.parallel_interleave(
_load_records_and_preprocess, sloppy=True, cycle_length=8))
else:
dataset = _load_records_and_preprocess(dataset)
dataset = dataset.map(
self.maybe_reverse_and_copy, num_parallel_calls=num_threads)
dataset = dataset.take(max_records)
## Shuffle records only for training examples.
if shuffle_files and is_training:
dataset = dataset.shuffle(shuffle_buffer_size)
if hparams.get("pack_dataset", False):
dataset = generator_utils.pack_dataset(
dataset, hparams.max_length, keys=["inputs", "targets"],
use_custom_ops=hparams.get("use_custom_ops", False))
if output_buffer_size:
dataset = dataset.prefetch(output_buffer_size)
return dataset
|
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] |
Build a Dataset for this problem.
Args:
mode: tf.estimator.ModeKeys; determines which files to read from.
data_dir: directory that contains data files.
num_threads: int, number of threads to use for decode and preprocess
Dataset.map calls.
output_buffer_size: int, how many elements to prefetch at end of pipeline.
shuffle_files: whether to shuffle input files. Default behavior (i.e. when
shuffle_files=None) is to shuffle if mode == TRAIN.
hparams: HParams; hparams to be passed to
Problem.preprocess_example and Problem.hparams. If None, will use a
default set that is a no-op.
preprocess: bool, whether to map the Dataset through
Problem.preprocess_example.
dataset_split: DatasetSplit, which split to read data
from (TRAIN:"-train", EVAL:"-dev", "test":"-test"). Defaults to mode.
shard: int, if provided, will only read data from the specified shard.
partition_id: integer - which partition of the dataset to read from
num_partitions: how many partitions in the dataset
shuffle_buffer_size: if shuffle_files is True, this is the buffer size
used to shuffle records.
max_records: int, number of records to truncate to.
Returns:
Dataset containing dict<feature name, Tensor>.
Raises:
ValueError: if num_partitions is greater than the number of data files.
|
[
"Build",
"a",
"Dataset",
"for",
"this",
"problem",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L583-L698
|
train
|
Build a Dataset for this problem.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\x33' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(48) + chr(1649 - 1599), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101010 + 0o5) + chr(0b110011) + '\x35' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(53) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2133 - 2083) + chr(0b101 + 0o57) + chr(509 - 456), 0o10), ehT0Px3KOsy9(chr(1766 - 1718) + chr(5915 - 5804) + chr(49) + '\x37' + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(1002 - 953) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10111 + 0o32) + '\063' + '\063', 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(50) + chr(49) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(10092 - 9981) + '\065' + '\x33', 0o10), ehT0Px3KOsy9(chr(1818 - 1770) + chr(0b1101111) + chr(0b100101 + 0o14) + chr(52) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11010 + 0o35), 26158 - 26150), ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + '\x32' + chr(0b100 + 0o55) + '\065', 8), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(0b110010 + 0o3) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(51) + chr(0b1000 + 0o53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1100 + 0o47) + chr(54) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\x33' + chr(0b101101 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(380 - 332) + chr(0b1101111) + chr(49) + chr(0b110101) + chr(1570 - 1516), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + '\065' + chr(2384 - 2329), 8), ehT0Px3KOsy9('\060' + chr(155 - 44) + chr(0b0 + 0o62) + chr(676 - 628) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b110111) + chr(0b110011), 38858 - 38850), ehT0Px3KOsy9(chr(723 - 675) + chr(1028 - 917) + '\x36' + '\x34', 55799 - 55791), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + '\062' + chr(718 - 669) + '\067', 64844 - 64836), ehT0Px3KOsy9(chr(1130 - 1082) + chr(0b1101111) + chr(52) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(523 - 412) + '\x31' + chr(0b110111) + chr(54), 0o10), ehT0Px3KOsy9(chr(2029 - 1981) + '\157' + chr(49) + chr(630 - 576) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(162 - 108) + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110010) + chr(0b110011), 16313 - 16305), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\x37' + chr(0b1 + 0o63), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2338 - 2287) + chr(50) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(120 - 71) + chr(514 - 460) + chr(52), 0o10), ehT0Px3KOsy9(chr(1105 - 1057) + chr(0b10 + 0o155) + chr(0b10001 + 0o40) + chr(1420 - 1372) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(9141 - 9030) + chr(52) + chr(0b10100 + 0o42), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\065' + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101000 + 0o13) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11001 + 0o32) + chr(53) + chr(1951 - 1899), 57237 - 57229), ehT0Px3KOsy9(chr(1076 - 1028) + chr(6602 - 6491) + '\061' + chr(0b110000 + 0o3) + chr(435 - 382), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(49) + chr(0b110000) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1011110 + 0o21) + chr(49) + '\x35' + '\065', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1738 - 1685) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'w'), chr(0b1100100) + chr(101) + chr(2747 - 2648) + chr(0b101 + 0o152) + chr(0b1100100) + '\145')(chr(117) + chr(0b11 + 0o161) + chr(6823 - 6721) + chr(301 - 256) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xQt6gV9VfTO3(oVre8I6UXc3b, holLFgwB7vsP, kVFRD544hi_1=None, pCw22JJnmDr0=None, Yj4oyyXOEZhc=None, EiFJq1ArTGUJ=None, n4ljua2gi1Pr=None, n8IJXbSueTJV=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 11122 - 11114), XqbfPmad1kJ4=None, pn2mJYbTTPyv=None, yEGKPIAOGxSd=ehT0Px3KOsy9(chr(1188 - 1140) + chr(11170 - 11059) + chr(0b100010 + 0o16), 0o10), uriDfeyzD72A=ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + '\x31', 8), ETi1MWPlKt6h=ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b110010) + chr(0b11010 + 0o26) + chr(48) + chr(0b110000), ord("\x08")), dNgL2nrNj1NG=-ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061', 8)):
XQJVi3cQFN5l = holLFgwB7vsP == IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN
EiFJq1ArTGUJ = EiFJq1ArTGUJ or (EiFJq1ArTGUJ is None and XQJVi3cQFN5l)
XqbfPmad1kJ4 = XqbfPmad1kJ4 or holLFgwB7vsP
assert kVFRD544hi_1
if n4ljua2gi1Pr is None:
n4ljua2gi1Pr = puU4RVZmqwNK()
if not lot1PSoAwYhj(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'=#\x9c\x8b\xfa\x18\xe4)'), '\x64' + chr(101) + '\x63' + chr(111) + chr(881 - 781) + '\x65')('\x75' + chr(8015 - 7899) + chr(0b111001 + 0o55) + chr(1193 - 1148) + '\070')):
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'8&\x8c\xb5\xcd\x0c\xec)\xe8F'), chr(0b1111 + 0o125) + '\x65' + '\143' + chr(2389 - 2278) + chr(100) + chr(101))(chr(4307 - 4190) + '\x74' + chr(2528 - 2426) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'=#\x9c\x8b\xfa\x18\xe4)'), chr(0b1100100) + '\x65' + chr(99) + chr(8665 - 8554) + chr(100) + chr(1301 - 1200))(chr(0b1110101) + chr(6267 - 6151) + chr(0b1001110 + 0o30) + '\055' + chr(56)), kVFRD544hi_1)
if not xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'=#\x9c\x8b\xfa\x18\xe4)'), chr(0b111110 + 0o46) + '\145' + chr(942 - 843) + chr(111) + chr(100) + chr(101))(chr(3346 - 3229) + '\164' + chr(0b1100110) + '\055' + chr(0b111000))):
n4ljua2gi1Pr.kVFRD544hi_1 = kVFRD544hi_1
VNGQdHSFPrso = oVre8I6UXc3b.get_hparams(n4ljua2gi1Pr)
NlO6lNe7NgYC = oVre8I6UXc3b.filepattern(kVFRD544hi_1, XqbfPmad1kJ4, shard=pn2mJYbTTPyv)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\nu\xa0\x92\xd0\x1f\xeal\xe3G8l'), '\x64' + chr(0b1100101) + chr(3395 - 3296) + '\157' + chr(0b1100100) + chr(101))(chr(6784 - 6667) + chr(0b1000 + 0o154) + chr(5783 - 5681) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b"\x0b'\x89\x8e\xcc\x12\xea{\xedJ\x16f\xadI\xb2\x9f\xf8\x1d\x0f\xe7\x89[\xe2\x07[\x04"), '\x64' + chr(1064 - 963) + '\143' + chr(0b110000 + 0o77) + '\144' + chr(4279 - 4178))(chr(0b1110101) + chr(0b1110100) + '\146' + '\055' + chr(0b10110 + 0o42)), NlO6lNe7NgYC)
KAyZjSEftgFC = vUlqIvNSaRMa(IDJ2eXGCBCDu.contrib.slim.parallel_reader.get_data_files(NlO6lNe7NgYC))
def q9Ow5rIi9TBA(Xs6zu3BFE2Ws):
xQt6gV9VfTO3 = IDJ2eXGCBCDu.data.TFRecordDataset(Xs6zu3BFE2Ws, buffer_size=ehT0Px3KOsy9('\060' + chr(111) + chr(0b101000 + 0o11) + '\060', 0o10) * ehT0Px3KOsy9('\x30' + chr(1848 - 1737) + chr(0b11000 + 0o32) + chr(1764 - 1716) + '\060' + chr(0b100110 + 0o12), 8) * ehT0Px3KOsy9(chr(48) + chr(5363 - 5252) + chr(2497 - 2447) + '\x30' + chr(48) + chr(0b100110 + 0o12), 8))
xQt6gV9VfTO3 = xQt6gV9VfTO3.map(oVre8I6UXc3b.decode_example, num_parallel_calls=pCw22JJnmDr0)
if n8IJXbSueTJV:
xQt6gV9VfTO3 = oVre8I6UXc3b.preprocess(xQt6gV9VfTO3, holLFgwB7vsP, n4ljua2gi1Pr, interleave=EiFJq1ArTGUJ)
return xQt6gV9VfTO3
if c2A0yzQpDQB3(KAyZjSEftgFC) < uriDfeyzD72A:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'77\x85\x88\xc0\x0e\xad4\xef\x0b\x06f\xf9N\xfb\x95\xf4\x02J\xf2\xdb\x1c\xaaCWW\x9d\xe6\x8f\xa7T!C\xca{]\xcc1%\x0c*6\xc8\x9e\xcd\x19\xad5\xfcF\x00b\xff\x0f\xb4\x95\xbd\x06@\xf2\x8fG\xaf\x0f[\x13\xd9'), '\x64' + '\145' + chr(0b1100011) + chr(0b1101111) + '\144' + '\145')('\165' + chr(12442 - 12326) + chr(0b1100110) + chr(45) + chr(1900 - 1844)) % (c2A0yzQpDQB3(KAyZjSEftgFC), uriDfeyzD72A))
KAyZjSEftgFC = [EGyt1xfPT1P6 for (WVxHKyX45z_L, EGyt1xfPT1P6) in YlkZvXL8qwsX(KAyZjSEftgFC) if WVxHKyX45z_L % uriDfeyzD72A == yEGKPIAOGxSd]
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\nu\xa0\x92\xd0\x1f\xeal\xe3G8l'), chr(2162 - 2062) + chr(0b100010 + 0o103) + chr(0b1100011) + chr(111) + chr(0b100010 + 0o102) + chr(0b101111 + 0o66))(chr(13032 - 12915) + '\x74' + '\x66' + chr(0b101 + 0o50) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b')#\x9a\x9e\xcc\x08\xe44\xe7\x11B"\xe9\x0f\xb5\x86\xf01K\xe0\x8fU\xd0A\x17\x1b\x95\xe0\xc6\xf3Q\''), '\144' + chr(0b1010 + 0o133) + chr(0b11110 + 0o105) + chr(3198 - 3087) + chr(0b1001110 + 0o26) + chr(6711 - 6610))(chr(117) + chr(0b1110100) + chr(102) + chr(1859 - 1814) + '\070') % (yEGKPIAOGxSd, c2A0yzQpDQB3(KAyZjSEftgFC)))
if EiFJq1ArTGUJ:
xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'-0\x89\x84\xd6\x1a\xe2)\xe4N\x10X\xfd]\xb2\x9d\xe9'), '\144' + chr(3176 - 3075) + chr(0b1100011) + chr(12276 - 12165) + chr(1044 - 944) + chr(6305 - 6204))(chr(0b1110101) + chr(12117 - 12001) + chr(102) + chr(222 - 177) + chr(2783 - 2727)))(key=xafqLlk3kkUe(mcP9wB7s3wV8, xafqLlk3kkUe(SXOLrMavuUCe(b'\x10\x0c\xb8\xbf\xf1#\xc2\t\xcdn0'), chr(1526 - 1426) + chr(9804 - 9703) + '\143' + chr(9811 - 9700) + chr(100) + '\x65')(chr(0b1010 + 0o153) + '\164' + chr(102) + chr(45) + chr(1890 - 1834))))
xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'**\x9d\x8c\xc3\x10\xe8'), chr(0b101010 + 0o72) + chr(6869 - 6768) + chr(0b1100000 + 0o3) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(117) + chr(6864 - 6748) + '\x66' + '\x2d' + chr(2105 - 2049)))(KAyZjSEftgFC)
xQt6gV9VfTO3 = IDJ2eXGCBCDu.data.Dataset.from_tensor_slices(IDJ2eXGCBCDu.constant(KAyZjSEftgFC))
if EiFJq1ArTGUJ:
xQt6gV9VfTO3 = xQt6gV9VfTO3.apply(IDJ2eXGCBCDu.data.experimental.parallel_interleave(q9Ow5rIi9TBA, sloppy=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001), 8), cycle_length=ehT0Px3KOsy9(chr(48) + chr(5381 - 5270) + '\x31' + '\060', 8)))
else:
xQt6gV9VfTO3 = q9Ow5rIi9TBA(xQt6gV9VfTO3)
xQt6gV9VfTO3 = xQt6gV9VfTO3.map(oVre8I6UXc3b.maybe_reverse_and_copy, num_parallel_calls=pCw22JJnmDr0)
xQt6gV9VfTO3 = xQt6gV9VfTO3.take(dNgL2nrNj1NG)
if EiFJq1ArTGUJ and XQJVi3cQFN5l:
xQt6gV9VfTO3 = xQt6gV9VfTO3.shuffle(ETi1MWPlKt6h)
if xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b">'\x9c"), chr(0b111101 + 0o47) + '\x65' + chr(99) + '\157' + '\x64' + chr(101))('\x75' + chr(0b110010 + 0o102) + '\x66' + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b')#\x8b\x81\xfa\x18\xec/\xe8X\x07s'), chr(0b1100100) + chr(101) + '\x63' + chr(0b1101 + 0o142) + '\x64' + chr(0b100110 + 0o77))(chr(0b1010 + 0o153) + chr(2416 - 2300) + '\146' + chr(0b101001 + 0o4) + '\x38'), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x30', 8)):
xQt6gV9VfTO3 = g1Z_RG9zP4cD.pack_dataset(xQt6gV9VfTO3, n4ljua2gi1Pr._o7pVXAdOCRy, keys=[xafqLlk3kkUe(SXOLrMavuUCe(b'0,\x98\x9f\xd1\x0f'), chr(0b1100100) + '\x65' + '\x63' + chr(3927 - 3816) + chr(0b1100100) + chr(3806 - 3705))(chr(0b1110101) + chr(116) + '\146' + chr(1785 - 1740) + chr(2918 - 2862)), xafqLlk3kkUe(SXOLrMavuUCe(b'-#\x9a\x8d\xc0\x08\xfe'), '\x64' + chr(101) + chr(99) + '\157' + chr(0b1100010 + 0o2) + chr(541 - 440))(chr(0b1110101) + chr(0b110010 + 0o102) + chr(0b1100110) + chr(0b11010 + 0o23) + chr(0b110000 + 0o10))], use_custom_ops=n4ljua2gi1Pr.get(xafqLlk3kkUe(SXOLrMavuUCe(b',1\x8d\xb5\xc6\t\xfe/\xe6F=h\xfd\\'), chr(2195 - 2095) + chr(0b1100101) + chr(9643 - 9544) + '\157' + chr(0b1100100) + '\145')(chr(0b1110101) + chr(116) + chr(5993 - 5891) + chr(45) + chr(0b101 + 0o63)), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(11825 - 11714) + '\060', 8)))
if Yj4oyyXOEZhc:
xQt6gV9VfTO3 = xQt6gV9VfTO3.prefetch(Yj4oyyXOEZhc)
return xQt6gV9VfTO3
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
Problem.decode_example
|
def decode_example(self, serialized_example):
"""Return a dict of Tensors from a serialized tensorflow.Example."""
data_fields, data_items_to_decoders = self.example_reading_spec()
# Necessary to rejoin examples in the correct order with the Cloud ML Engine
# batch prediction API.
data_fields["batch_prediction_key"] = tf.FixedLenFeature([1], tf.int64, 0)
if data_items_to_decoders is None:
data_items_to_decoders = {
field: tf.contrib.slim.tfexample_decoder.Tensor(field)
for field in data_fields
}
decoder = tf.contrib.slim.tfexample_decoder.TFExampleDecoder(
data_fields, data_items_to_decoders)
decode_items = list(sorted(data_items_to_decoders))
decoded = decoder.decode(serialized_example, items=decode_items)
return dict(zip(decode_items, decoded))
|
python
|
def decode_example(self, serialized_example):
"""Return a dict of Tensors from a serialized tensorflow.Example."""
data_fields, data_items_to_decoders = self.example_reading_spec()
# Necessary to rejoin examples in the correct order with the Cloud ML Engine
# batch prediction API.
data_fields["batch_prediction_key"] = tf.FixedLenFeature([1], tf.int64, 0)
if data_items_to_decoders is None:
data_items_to_decoders = {
field: tf.contrib.slim.tfexample_decoder.Tensor(field)
for field in data_fields
}
decoder = tf.contrib.slim.tfexample_decoder.TFExampleDecoder(
data_fields, data_items_to_decoders)
decode_items = list(sorted(data_items_to_decoders))
decoded = decoder.decode(serialized_example, items=decode_items)
return dict(zip(decode_items, decoded))
|
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] |
Return a dict of Tensors from a serialized tensorflow.Example.
|
[
"Return",
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"serialized",
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".",
"Example",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L700-L717
|
train
|
Return a dict of Tensors from a serialized tensorflow. Example.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(11917 - 11806) + chr(0b110001) + '\066' + '\x31', 56781 - 56773), ehT0Px3KOsy9(chr(1843 - 1795) + chr(0b1101111) + chr(0b101011 + 0o10) + '\x32' + chr(0b110 + 0o61), 0b1000), ehT0Px3KOsy9(chr(1497 - 1449) + chr(5901 - 5790) + chr(0b100100 + 0o17) + chr(1454 - 1401) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1031 - 983) + chr(9428 - 9317) + '\061' + chr(0b101000 + 0o12) + chr(0b110001 + 0o3), 29641 - 29633), ehT0Px3KOsy9(chr(0b110000) + chr(2951 - 2840) + chr(50) + '\066' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1934 - 1886) + chr(111) + chr(55) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(51) + chr(0b100100 + 0o15) + chr(1240 - 1191), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\062' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(2006 - 1958) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b110110) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1451 - 1402) + '\x34' + chr(402 - 352), 21967 - 21959), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2229 - 2177), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(49) + chr(50) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1100001 + 0o16) + '\061' + chr(0b110101) + '\067', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b11110 + 0o24) + '\x31' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b110001 + 0o3) + chr(2203 - 2152), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + chr(49) + chr(1575 - 1526) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(2226 - 2178) + chr(111) + chr(0b110001) + chr(0b100101 + 0o17) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(369 - 321) + '\157' + '\061' + '\x31' + '\x36', 43981 - 43973), ehT0Px3KOsy9(chr(1558 - 1510) + '\157' + '\062' + '\061' + chr(0b10111 + 0o33), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1387 - 1335) + '\066', 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(0b0 + 0o61) + '\061' + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\064' + '\065', 49098 - 49090), ehT0Px3KOsy9(chr(48) + chr(111) + chr(617 - 567) + '\x37' + chr(1001 - 951), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1200 - 1149) + chr(0b10000 + 0o43) + chr(2536 - 2483), 0b1000), ehT0Px3KOsy9('\x30' + chr(477 - 366) + '\061' + '\063' + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(9252 - 9141) + '\x32' + '\x33' + chr(2048 - 2000), 7845 - 7837), ehT0Px3KOsy9(chr(2284 - 2236) + chr(0b1101111) + chr(51) + chr(51) + chr(0b110111), 46431 - 46423), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b100001 + 0o21) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(53) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\x34' + chr(51), 62688 - 62680), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x35' + chr(0b110010), 1445 - 1437), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b111000 + 0o67) + '\x32' + chr(0b101010 + 0o6) + chr(0b110111), 22803 - 22795), ehT0Px3KOsy9(chr(48) + chr(5298 - 5187) + chr(0b1111 + 0o43) + '\060' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(965 - 917) + chr(0b111101 + 0o62) + chr(1176 - 1125) + '\061' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + '\062' + chr(0b11000 + 0o32) + chr(49), 0b1000), ehT0Px3KOsy9(chr(706 - 658) + chr(0b1011101 + 0o22) + chr(1485 - 1436) + chr(0b110100) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(490 - 442) + chr(0b1001001 + 0o46) + chr(49) + '\060' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\060' + '\063', 0b1000), ehT0Px3KOsy9(chr(1509 - 1461) + '\157' + '\x31' + '\x33', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(53) + chr(1345 - 1297), 17922 - 17914)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'_'), chr(0b110001 + 0o63) + chr(0b1100101) + chr(1240 - 1141) + '\157' + '\144' + '\x65')('\165' + '\164' + chr(0b11010 + 0o114) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Z4LORr9gAxO6(oVre8I6UXc3b, dP29lsCkOGW4):
(NcaloodHmi5p, IU0p0SPK4Dei) = oVre8I6UXc3b.example_reading_spec()
NcaloodHmi5p[xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xb6\x9f7\xd9d\xb9\xe4\xa5\x12\x0bg"\x06\xe2\x8d\x10\n+\xf3'), chr(3427 - 3327) + chr(0b111001 + 0o54) + chr(99) + chr(5974 - 5863) + chr(3711 - 3611) + '\145')(chr(10860 - 10743) + chr(0b110010 + 0o102) + '\x66' + '\x2d' + chr(0b11000 + 0o40))] = IDJ2eXGCBCDu.FixedLenFeature([ehT0Px3KOsy9(chr(286 - 238) + chr(0b1101111) + chr(49), 58518 - 58510)], IDJ2eXGCBCDu.int64, ehT0Px3KOsy9(chr(0b110000) + chr(0b101010 + 0o105) + chr(0b110000), 0b1000))
if IU0p0SPK4Dei is None:
IU0p0SPK4Dei = {fEcfxx4smAdS: IDJ2eXGCBCDu.contrib.slim.tfexample_decoder.Tensor(fEcfxx4smAdS) for fEcfxx4smAdS in NcaloodHmi5p}
tLRvilnXU7wb = IDJ2eXGCBCDu.contrib.slim.tfexample_decoder.TFExampleDecoder(NcaloodHmi5p, IU0p0SPK4Dei)
Bs9WCr1c7VVA = YyaZ4tpXu4lf(vUlqIvNSaRMa(IU0p0SPK4Dei))
xv8V2FHKfu8K = tLRvilnXU7wb.decode(dP29lsCkOGW4, items=Bs9WCr1c7VVA)
return wLqBDw8l0eIm(pZ0NK2y6HRbn(Bs9WCr1c7VVA, xv8V2FHKfu8K))
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
Problem.feature_info
|
def feature_info(self):
"""Retrieve dict<feature name, FeatureInfo>.
Must first call Problem.get_hparams or Problem.dataset to have the problem's
internal hparams already constructed.
Returns:
dict<feature name, FeatureInfo>
"""
if self._feature_info is not None:
return self._feature_info
assert self._hparams is not None
hp = self.get_hparams()
if self.has_inputs:
in_id = hp.input_space_id
out_id = hp.target_space_id
features = collections.defaultdict(FeatureInfo)
for feature_name, modality_cls in six.iteritems(hp.modality):
finfo = features[feature_name]
finfo.modality = modality_cls
finfo.vocab_size = hp.vocab_size[feature_name]
vocabs = hp.vocabulary
for name, encoder in six.iteritems(vocabs):
features[name].encoder = encoder
if self.has_inputs:
features["inputs"].space_id = in_id
features["targets"].space_id = out_id
self._feature_info = features
return features
|
python
|
def feature_info(self):
"""Retrieve dict<feature name, FeatureInfo>.
Must first call Problem.get_hparams or Problem.dataset to have the problem's
internal hparams already constructed.
Returns:
dict<feature name, FeatureInfo>
"""
if self._feature_info is not None:
return self._feature_info
assert self._hparams is not None
hp = self.get_hparams()
if self.has_inputs:
in_id = hp.input_space_id
out_id = hp.target_space_id
features = collections.defaultdict(FeatureInfo)
for feature_name, modality_cls in six.iteritems(hp.modality):
finfo = features[feature_name]
finfo.modality = modality_cls
finfo.vocab_size = hp.vocab_size[feature_name]
vocabs = hp.vocabulary
for name, encoder in six.iteritems(vocabs):
features[name].encoder = encoder
if self.has_inputs:
features["inputs"].space_id = in_id
features["targets"].space_id = out_id
self._feature_info = features
return features
|
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] |
Retrieve dict<feature name, FeatureInfo>.
Must first call Problem.get_hparams or Problem.dataset to have the problem's
internal hparams already constructed.
Returns:
dict<feature name, FeatureInfo>
|
[
"Retrieve",
"dict<feature",
"name",
"FeatureInfo",
">",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L735-L769
|
train
|
Retrieve dict<feature name FeatureInfo >.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(580 - 532) + '\157' + chr(51) + chr(0b110110) + chr(0b11001 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(852 - 804) + chr(1626 - 1515) + '\x31' + chr(53) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(4261 - 4150) + '\x34' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101000 + 0o7) + chr(2002 - 1951) + chr(53) + chr(53), 11933 - 11925), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2106 - 2055) + chr(0b1111 + 0o44) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(357 - 306) + chr(0b110001) + chr(676 - 624), 0o10), ehT0Px3KOsy9(chr(913 - 865) + chr(1998 - 1887) + chr(0b10001 + 0o40) + '\065' + '\064', 4721 - 4713), ehT0Px3KOsy9(chr(48) + '\157' + chr(1982 - 1933) + chr(0b101100 + 0o4) + chr(1843 - 1794), ord("\x08")), ehT0Px3KOsy9(chr(2121 - 2073) + chr(0b101111 + 0o100) + chr(0b100100 + 0o15) + chr(0b110001) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1010 + 0o47) + chr(0b10011 + 0o44), 23258 - 23250), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(1062 - 1014) + '\157' + '\x33' + chr(0b1110 + 0o51) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2702 - 2649) + chr(0b101000 + 0o10), 32395 - 32387), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + '\x32' + '\x31' + chr(1494 - 1441), 14271 - 14263), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1076 - 1025) + chr(0b1010 + 0o50) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1332 - 1284) + '\x6f' + '\x31' + chr(352 - 302) + chr(53), 0o10), ehT0Px3KOsy9(chr(823 - 775) + '\x6f' + '\062' + '\063' + chr(0b110101), 64365 - 64357), ehT0Px3KOsy9(chr(48) + chr(0b1001010 + 0o45) + chr(2496 - 2446) + chr(0b101001 + 0o11) + '\x37', 0b1000), ehT0Px3KOsy9(chr(722 - 674) + '\x6f' + chr(0b110010) + chr(2192 - 2141) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001 + 0o2) + chr(0b110001) + '\x34', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(661 - 613) + chr(0b100110 + 0o21), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(2842 - 2788) + chr(1454 - 1405), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1010010 + 0o35) + chr(50) + '\x32' + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b110000) + chr(4257 - 4146) + chr(0b10101 + 0o35) + chr(0b110110) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + chr(0b110110), 38163 - 38155), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(2212 - 2163) + chr(236 - 183), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2263 - 2152) + '\062' + chr(0b110001) + '\x35', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(1131 - 1081) + chr(1638 - 1584), 36786 - 36778), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100110 + 0o14) + chr(2160 - 2107) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101001 + 0o6) + chr(0b110011) + chr(340 - 285) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b10111 + 0o32), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\066' + chr(1883 - 1828), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\064' + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1323 - 1274) + '\x33' + chr(0b110001), 57795 - 57787), ehT0Px3KOsy9(chr(1385 - 1337) + chr(6207 - 6096) + chr(1264 - 1215) + chr(0b10001 + 0o37) + chr(1664 - 1613), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b110101) + chr(0b110010 + 0o1), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(570 - 520) + chr(0b110101) + '\x34', 8), ehT0Px3KOsy9('\060' + chr(4009 - 3898) + chr(1822 - 1772) + chr(1782 - 1727) + chr(51), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(52) + '\x30', 59438 - 59430), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\061' + chr(0b110010 + 0o3), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + '\x35' + chr(0b11110 + 0o22), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8'), chr(3639 - 3539) + '\145' + chr(0b1000010 + 0o41) + '\x6f' + chr(100) + chr(0b1100101))('\165' + '\164' + '\146' + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def BACxa4XKHvRJ(oVre8I6UXc3b):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\tA\x8c\xaf\xb9\x1e$\x11fx\x9dG'), '\x64' + chr(1533 - 1432) + chr(8545 - 8446) + chr(111) + chr(0b100011 + 0o101) + chr(9740 - 9639))(chr(117) + chr(2758 - 2642) + '\146' + chr(45) + '\x38')) is not None:
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9\tA\x8c\xaf\xb9\x1e$\x11fx\x9dG'), chr(100) + chr(7818 - 7717) + chr(5539 - 5440) + chr(0b1101111) + chr(0b1100100) + '\x65')('\x75' + chr(0b1110100) + chr(6677 - 6575) + '\055' + '\x38'))
assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x98?k\xd8\x98\xb4\x1a\x1e\x1c\\G\xaa'), chr(100) + chr(948 - 847) + chr(0b100110 + 0o75) + chr(8489 - 8378) + chr(8423 - 8323) + '\x65')(chr(0b1011111 + 0o26) + '\x74' + '\146' + '\x2d' + chr(0b110010 + 0o6))) is not None
ny6shRSJO9Wm = oVre8I6UXc3b.get_hparams()
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x0eW\xb2\xb2\xa2\x1c4:|'), chr(100) + chr(0b1100001 + 0o4) + '\x63' + '\157' + chr(0b1100100) + chr(6262 - 6161))(chr(0b1110101) + '\x74' + chr(102) + chr(1248 - 1203) + '\070')):
tz1niMQDhngA = ny6shRSJO9Wm.Fj2ITAWgKC7G
XVwGXsKhUaUF = ny6shRSJO9Wm.F_zsiH5GNezn
EEf4r9nUvta_ = FGhnnwoh1Dd8.defaultdict(xqjQ9hZfY27i)
for (lPuZQT6rFAxL, ftgLRZxlsP3U) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x1bA\x9f\xb2\xb8\t,='), chr(0b1001 + 0o133) + '\x65' + chr(0b100001 + 0o102) + chr(0b1101111) + chr(9519 - 9419) + chr(8771 - 8670))('\165' + chr(601 - 485) + chr(0b1100110) + chr(45) + chr(540 - 484)))(xafqLlk3kkUe(ny6shRSJO9Wm, xafqLlk3kkUe(SXOLrMavuUCe(b'\x946t\x9e\xac\xa4\x152*<e\xc9'), '\144' + chr(0b1100101) + '\143' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b11011 + 0o132) + '\x74' + chr(0b1100110) + chr(0b10101 + 0o30) + chr(0b100011 + 0o25)))):
hixBIyQlqVhY = EEf4r9nUvta_[lPuZQT6rFAxL]
hixBIyQlqVhY.bYPswhysd3s2 = ftgLRZxlsP3U
hixBIyQlqVhY.CeyMIoSyrpkQ = ny6shRSJO9Wm.CeyMIoSyrpkQ[lPuZQT6rFAxL]
Yy2ql4EMxN7M = ny6shRSJO9Wm.Vemi1XCgm0ph
for (AIvJRzLdDfgF, hoK3K1TwFlkr) in xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x1bA\x9f\xb2\xb8\t,='), chr(100) + chr(0b1001111 + 0o26) + chr(0b10010 + 0o121) + chr(0b1101111) + '\144' + chr(2968 - 2867))(chr(8712 - 8595) + chr(0b100000 + 0o124) + '\x66' + '\x2d' + '\070'))(Yy2ql4EMxN7M):
EEf4r9nUvta_[AIvJRzLdDfgF].hoK3K1TwFlkr = hoK3K1TwFlkr
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e\x0eW\xb2\xb2\xa2\x1c4:|'), chr(0b101111 + 0o65) + '\145' + chr(6910 - 6811) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1110101) + '\164' + '\146' + chr(966 - 921) + chr(56))):
EEf4r9nUvta_[xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\x01T\x98\xaf\xbf'), chr(0b1000 + 0o134) + '\145' + '\143' + chr(0b1101111) + chr(5229 - 5129) + chr(0b1100101))('\165' + chr(810 - 694) + '\x66' + '\x2d' + chr(0b111000))].kp7SWJIrqOPL = tz1niMQDhngA
EEf4r9nUvta_[xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\x0eV\x8a\xbe\xb8\x1f'), chr(0b1000 + 0o134) + '\x65' + '\x63' + chr(3593 - 3482) + '\x64' + chr(4394 - 4293))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(1659 - 1614) + chr(0b111000))].kp7SWJIrqOPL = XVwGXsKhUaUF
oVre8I6UXc3b.EttHyH39XlM7 = EEf4r9nUvta_
return EEf4r9nUvta_
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
Problem.make_estimator_input_fn
|
def make_estimator_input_fn(self,
mode,
hparams,
data_dir=None,
force_repeat=False,
prevent_repeat=False,
dataset_kwargs=None):
"""Return input_fn wrapped for Estimator."""
def estimator_input_fn(params, config):
return self.input_fn(
mode,
hparams,
data_dir=data_dir,
params=params,
config=config,
force_repeat=force_repeat,
prevent_repeat=prevent_repeat,
dataset_kwargs=dataset_kwargs)
return estimator_input_fn
|
python
|
def make_estimator_input_fn(self,
mode,
hparams,
data_dir=None,
force_repeat=False,
prevent_repeat=False,
dataset_kwargs=None):
"""Return input_fn wrapped for Estimator."""
def estimator_input_fn(params, config):
return self.input_fn(
mode,
hparams,
data_dir=data_dir,
params=params,
config=config,
force_repeat=force_repeat,
prevent_repeat=prevent_repeat,
dataset_kwargs=dataset_kwargs)
return estimator_input_fn
|
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] |
Return input_fn wrapped for Estimator.
|
[
"Return",
"input_fn",
"wrapped",
"for",
"Estimator",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L771-L791
|
train
|
Returns input_fn wrapped for Estimator.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(1729 - 1678) + chr(0b110000) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1 + 0o62) + chr(1449 - 1401) + chr(55), 9637 - 9629), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b101010 + 0o15) + '\x34', 22100 - 22092), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(1195 - 1144) + chr(0b110011), 11633 - 11625), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1001 + 0o55) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(1671 - 1623) + chr(111) + chr(1790 - 1741) + chr(53) + chr(0b1 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(49) + '\x33' + '\066', 8576 - 8568), ehT0Px3KOsy9('\060' + chr(0b100001 + 0o116) + chr(2090 - 2039) + chr(90 - 41) + chr(1841 - 1792), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\062' + chr(0b100011 + 0o17), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(54) + '\064', 8), ehT0Px3KOsy9(chr(969 - 921) + chr(0b110100 + 0o73) + '\067' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\x35' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10111 + 0o34) + '\x32' + '\060', 1041 - 1033), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(49) + chr(0b100101 + 0o14), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b11100 + 0o31) + chr(1591 - 1536), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100101 + 0o112) + chr(51) + chr(0b110100) + chr(0b110101 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(51) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(8798 - 8687) + chr(121 - 70) + chr(0b110101) + chr(0b1 + 0o57), 50588 - 50580), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(53) + chr(70 - 16), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10009 - 9898) + chr(0b110010) + chr(2605 - 2550) + chr(1034 - 980), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11001 + 0o30) + '\x32' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b11101 + 0o122) + chr(50) + chr(0b110000) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + '\062' + chr(1027 - 977) + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(212 - 163) + '\x32' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1165 - 1117) + chr(1496 - 1385) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(0b110011) + chr(2660 - 2606) + chr(2139 - 2091), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(50) + chr(50) + chr(1190 - 1142), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\x32' + chr(0b11100 + 0o27), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(2144 - 2093) + chr(0b101101 + 0o3), 4398 - 4390), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b100011 + 0o16) + chr(49), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x33' + chr(1250 - 1200), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110010) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(666 - 618) + '\x6f' + chr(0b101100 + 0o5) + chr(48) + chr(660 - 607), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\x32' + chr(0b11011 + 0o31), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(1386 - 1338) + chr(0b110001 + 0o0), 3696 - 3688), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x37' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111110 + 0o61) + chr(51) + chr(0b110111) + chr(534 - 481), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + '\x34' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10111 + 0o34) + chr(49) + chr(0b101110 + 0o2), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1010 + 0o145) + chr(53) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xed'), '\x64' + '\x65' + chr(7635 - 7536) + chr(0b1101111) + '\144' + chr(0b1011100 + 0o11))(chr(0b1110101 + 0o0) + chr(0b1010100 + 0o40) + chr(0b10010 + 0o124) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def KrGnE5_B457o(oVre8I6UXc3b, holLFgwB7vsP, n4ljua2gi1Pr, kVFRD544hi_1=None, Q5HlHwWjWXJy=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1100 + 0o44), 8), kcD5_yICCeDt=ehT0Px3KOsy9(chr(48) + '\157' + chr(605 - 557), 8), Sa4GuE_apyvu=None):
def k2AeHVk_0mtn(nEbJZ4wfte2w, jAj7S20Ct06o):
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\xa9\x8c\xee@78\xa7'), chr(100) + '\x65' + chr(2545 - 2446) + '\157' + chr(100) + '\x65')(chr(0b11001 + 0o134) + '\x74' + chr(0b1100110) + chr(0b10001 + 0o34) + '\070'))(holLFgwB7vsP, n4ljua2gi1Pr, data_dir=kVFRD544hi_1, params=nEbJZ4wfte2w, config=jAj7S20Ct06o, force_repeat=Q5HlHwWjWXJy, prevent_repeat=kcD5_yICCeDt, dataset_kwargs=Sa4GuE_apyvu)
return k2AeHVk_0mtn
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
Problem._dataset_partition
|
def _dataset_partition(self, mode, config, params):
"""Which part of the training data to read.
If there are multiple parallel calls to input_fn (multiple TPU hosts),
then we want each one to read from a separate partition of the training
data.
Args:
mode: tf.estimator.ModeKeys
config: RunConfig
params: A dict that contains parameters.
Returns:
partition_id: an integer
num_partitions: an integer
"""
if mode != tf.estimator.ModeKeys.TRAIN or not hasattr(config, "tpu_config"):
# Reset in the case when using TPU but alternating TRAIN and EVAL.
self._next_partition_id = 0
return 0, 1
phift = config.tpu_config.per_host_input_for_training
# This is the mesh-tensorflow case.
if (hasattr(tpu_config.InputPipelineConfig, "BROADCAST") and
phift == tpu_config.InputPipelineConfig.BROADCAST):
return 0, 1
if phift:
num_hosts = (params["context"].num_hosts if "context" in params
else config.tpu_config.num_shards // 8)
num_partitions = max(num_hosts, 1)
else:
num_partitions = config.tpu_config.num_shards
partition_id = getattr(self, "_next_partition_id", 0)
self._next_partition_id = partition_id + 1
tf.logging.info("num_partitions = %d partition_id = %d" %
(num_partitions, partition_id))
assert partition_id < num_partitions
return partition_id, num_partitions
|
python
|
def _dataset_partition(self, mode, config, params):
"""Which part of the training data to read.
If there are multiple parallel calls to input_fn (multiple TPU hosts),
then we want each one to read from a separate partition of the training
data.
Args:
mode: tf.estimator.ModeKeys
config: RunConfig
params: A dict that contains parameters.
Returns:
partition_id: an integer
num_partitions: an integer
"""
if mode != tf.estimator.ModeKeys.TRAIN or not hasattr(config, "tpu_config"):
# Reset in the case when using TPU but alternating TRAIN and EVAL.
self._next_partition_id = 0
return 0, 1
phift = config.tpu_config.per_host_input_for_training
# This is the mesh-tensorflow case.
if (hasattr(tpu_config.InputPipelineConfig, "BROADCAST") and
phift == tpu_config.InputPipelineConfig.BROADCAST):
return 0, 1
if phift:
num_hosts = (params["context"].num_hosts if "context" in params
else config.tpu_config.num_shards // 8)
num_partitions = max(num_hosts, 1)
else:
num_partitions = config.tpu_config.num_shards
partition_id = getattr(self, "_next_partition_id", 0)
self._next_partition_id = partition_id + 1
tf.logging.info("num_partitions = %d partition_id = %d" %
(num_partitions, partition_id))
assert partition_id < num_partitions
return partition_id, num_partitions
|
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] |
Which part of the training data to read.
If there are multiple parallel calls to input_fn (multiple TPU hosts),
then we want each one to read from a separate partition of the training
data.
Args:
mode: tf.estimator.ModeKeys
config: RunConfig
params: A dict that contains parameters.
Returns:
partition_id: an integer
num_partitions: an integer
|
[
"Which",
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"of",
"the",
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"read",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L793-L828
|
train
|
This function returns the partition_id and number of partitions that can be used to read training data from the training data.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x35' + chr(0b11101 + 0o31), 44138 - 44130), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(2834 - 2723) + '\x33' + chr(0b110000) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(0b110010) + chr(49) + chr(0b11010 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6816 - 6705) + chr(1355 - 1306) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1482 - 1432) + '\062' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b110111) + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(340 - 229) + '\063' + chr(55) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7367 - 7256) + '\062' + chr(872 - 824), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101011 + 0o10) + '\061' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110000) + chr(0b110111), 1398 - 1390), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(833 - 782) + chr(53) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1655 - 1607) + chr(0b100010 + 0o115) + chr(0b110001) + chr(2353 - 2303) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101011 + 0o6) + chr(0b100101 + 0o16) + '\067', 10385 - 10377), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1755 - 1707) + '\x6f' + chr(0b100110 + 0o14) + '\x35' + chr(0b10010 + 0o40), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110011 + 0o3) + chr(0b110101), 50620 - 50612), ehT0Px3KOsy9(chr(2082 - 2034) + '\x6f' + chr(51) + chr(1448 - 1394) + '\060', 0o10), ehT0Px3KOsy9(chr(900 - 852) + '\x6f' + chr(51) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(2156 - 2108) + chr(813 - 702) + chr(1569 - 1520) + '\061' + chr(50 - 2), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\x33' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b10001 + 0o42) + chr(0b110000) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(4593 - 4482) + chr(0b110001) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b10011 + 0o44) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(911 - 863) + chr(11538 - 11427) + '\067' + '\x35', 49979 - 49971), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b101101 + 0o102) + '\061' + chr(0b110101) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(54) + chr(590 - 540), 7770 - 7762), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b0 + 0o66) + '\066', 15058 - 15050), ehT0Px3KOsy9(chr(2016 - 1968) + '\x6f' + chr(49) + chr(55) + '\065', 13725 - 13717), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110101) + chr(941 - 891), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(847 - 795) + chr(0b11000 + 0o32), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110111) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1095 - 1047) + chr(2052 - 1941) + chr(53), 30442 - 30434), ehT0Px3KOsy9(chr(48) + chr(4170 - 4059) + chr(0b110001) + '\x30' + chr(2501 - 2449), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1196 - 1142) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\x34' + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010100 + 0o33) + '\062' + chr(0b110110) + '\060', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(54) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1010 + 0o51) + chr(0b110101) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062', 1784 - 1776), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1011 + 0o54) + '\x32', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b10001 + 0o44) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0'), chr(100) + chr(0b1100101) + chr(0b1001100 + 0o27) + '\157' + chr(985 - 885) + '\x65')(chr(0b1110101) + chr(479 - 363) + '\146' + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def nVYDl3_vZ_Z5(oVre8I6UXc3b, holLFgwB7vsP, jAj7S20Ct06o, nEbJZ4wfte2w):
if holLFgwB7vsP != xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.ModeKeys, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x93\xc8C\xd8'), '\144' + chr(101) + chr(99) + chr(111) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b11000 + 0o116) + chr(45) + '\x38')) or not lot1PSoAwYhj(jAj7S20Ct06o, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\xb1\xfcU\xf5\xd0\x96v\xa2 '), '\144' + chr(3977 - 3876) + '\143' + chr(111) + '\144' + chr(1841 - 1740))(chr(0b101111 + 0o106) + chr(0b1110100) + chr(6565 - 6463) + chr(1173 - 1128) + chr(0b110000 + 0o10))):
oVre8I6UXc3b.l1wJKJFXV2sR = ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1010 + 0o46), ord("\x08"))
return (ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 0b1000))
f4Xkl7TAtgzg = jAj7S20Ct06o.tpu_config.per_host_input_for_training
if lot1PSoAwYhj(xafqLlk3kkUe(Ghj8YXKiaKb5, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7\xaf\xf9\x7f\xe2\xef\x91`\xae+\x84<:k\xc5\x9b\x96w/'), '\x64' + chr(101) + '\x63' + chr(0b0 + 0o157) + '\144' + chr(0b10011 + 0o122))(chr(9982 - 9865) + '\164' + chr(102) + chr(45) + '\x38')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\x93\xc6K\xd2\xfc\xb9C\x9f'), chr(0b1100100) + '\x65' + '\x63' + chr(0b101101 + 0o102) + chr(7229 - 7129) + '\x65')(chr(13068 - 12951) + '\164' + chr(7832 - 7730) + chr(0b101101) + chr(0b111000))) and f4Xkl7TAtgzg == xafqLlk3kkUe(Ghj8YXKiaKb5.InputPipelineConfig, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\x93\xc6K\xd2\xfc\xb9C\x9f'), chr(0b1010010 + 0o22) + chr(0b110110 + 0o57) + '\143' + chr(0b1101111) + chr(5002 - 4902) + chr(101))(chr(0b1010100 + 0o41) + chr(116) + '\146' + chr(0b101101) + '\x38')):
return (ehT0Px3KOsy9('\060' + '\x6f' + '\x30', 8), ehT0Px3KOsy9(chr(1263 - 1215) + chr(0b100001 + 0o116) + '\x31', 8))
if f4Xkl7TAtgzg:
OCU13lDxa_u4 = nEbJZ4wfte2w[xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\xae\xe7~\xf3\xc7\x8c'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b110011 + 0o74) + chr(6150 - 6050) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + '\055' + chr(56))].num_hosts if xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\xae\xe7~\xf3\xc7\x8c'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(111) + '\144' + '\145')(chr(0b1001001 + 0o54) + chr(0b1110100) + chr(102) + '\055' + chr(56)) in nEbJZ4wfte2w else jAj7S20Ct06o.tpu_config.num_shards // ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(48), 0o10)
uriDfeyzD72A = tsdjvlgh9gDP(OCU13lDxa_u4, ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10011 + 0o36), 8))
else:
uriDfeyzD72A = jAj7S20Ct06o.tpu_config.num_shards
yEGKPIAOGxSd = xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\xaf\xecr\xe2\xe0\x88q\xb93\x84&6G\xc4\xaa\x99z'), '\144' + chr(0b1100101) + chr(3870 - 3771) + '\x6f' + chr(0b1011110 + 0o6) + chr(101))('\x75' + chr(11006 - 10890) + chr(9706 - 9604) + chr(45) + '\070'), ehT0Px3KOsy9('\x30' + chr(111) + '\060', 8))
oVre8I6UXc3b.l1wJKJFXV2sR = yEGKPIAOGxSd + ehT0Px3KOsy9(chr(268 - 220) + chr(111) + chr(49), 8)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b"\xbd\xf6\xc1r\xe3\xdc\x9f'\xa1+\xb79"), '\144' + '\145' + chr(0b110 + 0o135) + chr(0b1101111) + chr(0b1 + 0o143) + chr(2918 - 2817))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(663 - 618) + chr(0b1011 + 0o55)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x80\xb4\xe4U\xe6\xde\x8ad\xa23\x84=1[\x8a\xc8\xd0;,\xff\xb4n\x8bI\x04F\x9f\x12D=Qad\rG\x95\xd4'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(9564 - 9447) + chr(0b100100 + 0o120) + chr(102) + chr(855 - 810) + chr(0b111000)) % (uriDfeyzD72A, yEGKPIAOGxSd))
assert yEGKPIAOGxSd < uriDfeyzD72A
return (yEGKPIAOGxSd, uriDfeyzD72A)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
Problem.input_fn
|
def input_fn(self,
mode,
hparams,
data_dir=None,
params=None,
config=None,
force_repeat=False,
prevent_repeat=False,
dataset_kwargs=None):
"""Builds input pipeline for problem.
Args:
mode: tf.estimator.ModeKeys
hparams: HParams, model hparams
data_dir: str, data directory; if None, will use hparams.data_dir
params: dict, may include "batch_size"
config: RunConfig; should have the data_parallelism attribute if not using
TPU
force_repeat: bool, whether to repeat the data even if not training
prevent_repeat: bool, whether to not repeat when in training mode.
Overrides force_repeat.
dataset_kwargs: dict, if passed, will pass as kwargs to self.dataset
method when called
Returns:
(features_dict<str name, Tensor feature>, Tensor targets)
"""
partition_id, num_partitions = self._dataset_partition(mode, config, params)
is_training = mode == tf.estimator.ModeKeys.TRAIN
if config and config.use_tpu:
num_threads = 64
else:
num_threads = data_reader.cpu_count() if is_training else 1
data_dir = data_dir or (hasattr(hparams, "data_dir") and hparams.data_dir)
dataset_kwargs = dataset_kwargs or {}
dataset_kwargs.update({
"mode": mode,
"data_dir": data_dir,
"num_threads": num_threads,
"hparams": hparams,
"partition_id": partition_id,
"num_partitions": num_partitions,
})
return data_reader.input_fn(
self.dataset(**dataset_kwargs),
self.filepattern(data_dir, mode),
self.skip_random_fraction_when_training,
self.batch_size_means_tokens,
self.get_hparams().batch_size_multiplier,
self.max_length(hparams),
mode,
hparams,
data_dir=data_dir,
params=params,
config=config,
force_repeat=force_repeat,
prevent_repeat=prevent_repeat)
|
python
|
def input_fn(self,
mode,
hparams,
data_dir=None,
params=None,
config=None,
force_repeat=False,
prevent_repeat=False,
dataset_kwargs=None):
"""Builds input pipeline for problem.
Args:
mode: tf.estimator.ModeKeys
hparams: HParams, model hparams
data_dir: str, data directory; if None, will use hparams.data_dir
params: dict, may include "batch_size"
config: RunConfig; should have the data_parallelism attribute if not using
TPU
force_repeat: bool, whether to repeat the data even if not training
prevent_repeat: bool, whether to not repeat when in training mode.
Overrides force_repeat.
dataset_kwargs: dict, if passed, will pass as kwargs to self.dataset
method when called
Returns:
(features_dict<str name, Tensor feature>, Tensor targets)
"""
partition_id, num_partitions = self._dataset_partition(mode, config, params)
is_training = mode == tf.estimator.ModeKeys.TRAIN
if config and config.use_tpu:
num_threads = 64
else:
num_threads = data_reader.cpu_count() if is_training else 1
data_dir = data_dir or (hasattr(hparams, "data_dir") and hparams.data_dir)
dataset_kwargs = dataset_kwargs or {}
dataset_kwargs.update({
"mode": mode,
"data_dir": data_dir,
"num_threads": num_threads,
"hparams": hparams,
"partition_id": partition_id,
"num_partitions": num_partitions,
})
return data_reader.input_fn(
self.dataset(**dataset_kwargs),
self.filepattern(data_dir, mode),
self.skip_random_fraction_when_training,
self.batch_size_means_tokens,
self.get_hparams().batch_size_multiplier,
self.max_length(hparams),
mode,
hparams,
data_dir=data_dir,
params=params,
config=config,
force_repeat=force_repeat,
prevent_repeat=prevent_repeat)
|
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] |
Builds input pipeline for problem.
Args:
mode: tf.estimator.ModeKeys
hparams: HParams, model hparams
data_dir: str, data directory; if None, will use hparams.data_dir
params: dict, may include "batch_size"
config: RunConfig; should have the data_parallelism attribute if not using
TPU
force_repeat: bool, whether to repeat the data even if not training
prevent_repeat: bool, whether to not repeat when in training mode.
Overrides force_repeat.
dataset_kwargs: dict, if passed, will pass as kwargs to self.dataset
method when called
Returns:
(features_dict<str name, Tensor feature>, Tensor targets)
|
[
"Builds",
"input",
"pipeline",
"for",
"problem",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L830-L886
|
train
|
Builds input pipeline for problem.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(337 - 289) + '\x6f' + chr(0b1110 + 0o43) + '\062' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110110) + chr(0b110010), 27272 - 27264), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b110010) + chr(2057 - 2007), 13901 - 13893), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(51) + '\x31' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(2403 - 2349) + chr(717 - 666), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(1801 - 1750) + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(0b110 + 0o151) + '\x31' + chr(407 - 356) + chr(1836 - 1787), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + '\061' + chr(0b110100) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(6686 - 6575) + '\x31' + chr(48) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10101 + 0o35) + chr(1156 - 1104) + '\x31', 38608 - 38600), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110 + 0o55) + chr(0b110010) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(663 - 615) + chr(0b10 + 0o155) + chr(520 - 471) + chr(472 - 420) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(258 - 208) + chr(0b110000) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1238 - 1190) + chr(111) + '\x32' + chr(0b1001 + 0o47) + chr(0b10011 + 0o42), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000010 + 0o55) + chr(2628 - 2573) + chr(2313 - 2260), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + chr(0b110010) + chr(0b110010) + chr(2225 - 2175), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1011001 + 0o26) + chr(745 - 696) + chr(0b100011 + 0o22) + '\x37', 0b1000), ehT0Px3KOsy9(chr(1642 - 1594) + '\157' + chr(0b110001) + chr(0b110001) + chr(1934 - 1884), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + chr(49) + chr(0b110010) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10011 + 0o43) + chr(1770 - 1721), ord("\x08")), ehT0Px3KOsy9(chr(635 - 587) + chr(0b1101111) + chr(0b110011) + chr(0b110111) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(2390 - 2279) + chr(93 - 44) + '\x32' + chr(51), 8), ehT0Px3KOsy9('\x30' + chr(429 - 318) + chr(0b110001) + '\067' + '\065', 0o10), ehT0Px3KOsy9(chr(273 - 225) + chr(111) + chr(50) + chr(49) + '\067', 40562 - 40554), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\064' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8923 - 8812) + '\063' + chr(0b10110 + 0o32) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b110101) + chr(0b100010 + 0o23), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(2288 - 2236) + '\067', 8), ehT0Px3KOsy9(chr(992 - 944) + chr(3154 - 3043) + '\062' + chr(2243 - 2193) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b100 + 0o60), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(0b1000 + 0o52) + chr(50) + '\061', 62954 - 62946), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(50) + chr(49) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b0 + 0o62) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(0b110 + 0o54) + chr(1441 - 1388) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(51) + '\063' + chr(2526 - 2472), 12971 - 12963), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101010 + 0o10) + chr(0b101000 + 0o11) + '\060', 46829 - 46821), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b10101 + 0o36) + chr(0b10011 + 0o42), 30333 - 30325), ehT0Px3KOsy9(chr(215 - 167) + '\x6f' + chr(0b110011) + chr(0b110010) + chr(906 - 855), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1001111 + 0o40) + chr(0b110101) + '\x30', 28468 - 28460)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(100) + '\x65' + chr(0b110000 + 0o63) + chr(6358 - 6247) + '\144' + chr(101))(chr(134 - 17) + chr(0b1110100) + chr(2779 - 2677) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MVwQV4Upte2X(oVre8I6UXc3b, holLFgwB7vsP, n4ljua2gi1Pr, kVFRD544hi_1=None, nEbJZ4wfte2w=None, jAj7S20Ct06o=None, Q5HlHwWjWXJy=ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + '\x30', ord("\x08")), kcD5_yICCeDt=ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(2280 - 2232), 8), Sa4GuE_apyvu=None):
(yEGKPIAOGxSd, uriDfeyzD72A) = oVre8I6UXc3b._dataset_partition(holLFgwB7vsP, jAj7S20Ct06o, nEbJZ4wfte2w)
XQJVi3cQFN5l = holLFgwB7vsP == IDJ2eXGCBCDu.estimator.ModeKeys.TRAIN
if jAj7S20Ct06o and xafqLlk3kkUe(jAj7S20Ct06o, xafqLlk3kkUe(SXOLrMavuUCe(b'&A\xb7\x92\xc7\xef,'), chr(100) + '\x65' + chr(5316 - 5217) + chr(111) + '\144' + chr(0b1100101))('\165' + chr(116) + chr(0b1100110) + chr(0b101010 + 0o3) + chr(56))):
pCw22JJnmDr0 = ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\060' + chr(0b10101 + 0o33), 0b1000)
else:
pCw22JJnmDr0 = oPPijFrlo4k2.cpu_count() if XQJVi3cQFN5l else ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001), 6812 - 6804)
kVFRD544hi_1 = kVFRD544hi_1 or (lot1PSoAwYhj(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'7S\xa6\xac\xec\xfb0\x15'), chr(0b1100100) + '\145' + chr(3797 - 3698) + chr(111) + chr(0b111101 + 0o47) + '\x65')(chr(12716 - 12599) + chr(0b1110100) + chr(2584 - 2482) + '\x2d' + '\070')) and n4ljua2gi1Pr.kVFRD544hi_1)
Sa4GuE_apyvu = Sa4GuE_apyvu or {}
xafqLlk3kkUe(Sa4GuE_apyvu, xafqLlk3kkUe(SXOLrMavuUCe(b'\tF\x93\x88\xda\xd1\x13\t<\x95\xb3U'), chr(0b1010110 + 0o16) + '\145' + chr(0b100101 + 0o76) + chr(0b1101111) + '\x64' + '\145')(chr(5297 - 5180) + chr(116) + chr(0b1100110) + '\x2d' + '\x38'))({xafqLlk3kkUe(SXOLrMavuUCe(b'>]\xb6\xa8'), chr(236 - 136) + chr(101) + '\143' + chr(6670 - 6559) + chr(0b1001000 + 0o34) + chr(0b1000010 + 0o43))(chr(11421 - 11304) + '\164' + chr(0b1100110) + chr(0b11011 + 0o22) + '\x38'): holLFgwB7vsP, xafqLlk3kkUe(SXOLrMavuUCe(b'7S\xa6\xac\xec\xfb0\x15'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(10513 - 10402) + '\144' + chr(10061 - 9960))(chr(12249 - 12132) + chr(4533 - 4417) + '\146' + '\055' + chr(0b110011 + 0o5)): kVFRD544hi_1, xafqLlk3kkUe(SXOLrMavuUCe(b'=G\xbf\x92\xc7\xf7+\x02$\xc5\xa5'), '\x64' + '\x65' + chr(2597 - 2498) + chr(0b1001100 + 0o43) + chr(0b1010000 + 0o24) + '\145')(chr(0b1110000 + 0o5) + '\x74' + '\146' + chr(0b101101) + chr(56)): pCw22JJnmDr0, xafqLlk3kkUe(SXOLrMavuUCe(b';B\xb3\xbf\xd2\xf2*'), '\144' + chr(5739 - 5638) + '\143' + chr(111) + chr(100) + chr(0b10011 + 0o122))('\165' + chr(0b1110100) + '\x66' + chr(0b11 + 0o52) + '\070'): n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'#S\xa0\xb9\xda\xeb0\x08+\xfe\xbf\x01'), chr(0b1001111 + 0o25) + '\x65' + chr(2255 - 2156) + chr(111) + chr(0b100010 + 0o102) + '\x65')('\x75' + chr(0b1110100) + chr(0b10000 + 0o126) + '\055' + chr(3031 - 2975)): yEGKPIAOGxSd, xafqLlk3kkUe(SXOLrMavuUCe(b'=G\xbf\x92\xc3\xfe+\x13,\xd5\xbf\n\xe8\xf6'), '\144' + chr(8553 - 8452) + '\143' + '\x6f' + chr(100) + chr(5395 - 5294))('\x75' + chr(0b1110100) + chr(102) + chr(0b10000 + 0o35) + chr(0b101110 + 0o12)): uriDfeyzD72A})
return xafqLlk3kkUe(oPPijFrlo4k2, xafqLlk3kkUe(SXOLrMavuUCe(b':\\\xa2\xb8\xc7\xc0?\t'), '\144' + '\x65' + chr(99) + '\x6f' + chr(100) + chr(0b1100101))('\x75' + chr(0b1100011 + 0o21) + chr(102) + chr(1470 - 1425) + chr(1647 - 1591)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'7S\xa6\xac\xc0\xfa-'), chr(100) + '\145' + '\x63' + chr(111) + '\144' + '\145')(chr(0b1110001 + 0o4) + chr(0b11111 + 0o125) + chr(102) + '\055' + '\070'))(**Sa4GuE_apyvu), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'5[\xbe\xa8\xc3\xfe-\x13 \xd3\xb8'), '\144' + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1010011 + 0o21) + chr(4753 - 4652))(chr(13105 - 12988) + '\164' + '\146' + '\x2d' + chr(56)))(kVFRD544hi_1, holLFgwB7vsP), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b' Y\xbb\xbd\xec\xed8\t!\xce\xbb:\xe0\xf7\\\xf1\x1b#>_\xa2$\x15\xeaL\x9er\x1f\x06\xfcr\xf8l\xe9'), chr(0b1100100) + chr(0b1011010 + 0o13) + '\143' + '\x6f' + chr(100) + '\x65')(chr(5362 - 5245) + '\x74' + '\146' + '\x2d' + chr(0b1101 + 0o53))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'1S\xa6\xae\xdb\xc0*\x0e?\xc4\x89\x08\xe3\xe4S\xe10>>Z\x98=\x0e'), '\144' + chr(101) + chr(0b1100011) + '\x6f' + '\x64' + chr(1857 - 1756))(chr(0b1110101) + chr(116) + chr(102) + '\055' + chr(0b10100 + 0o44))), xafqLlk3kkUe(oVre8I6UXc3b.get_hparams(), xafqLlk3kkUe(SXOLrMavuUCe(b'1S\xa6\xae\xdb\xc0*\x0e?\xc4\x89\x08\xf3\xe9I\xfb\x1f&8T\x8f'), chr(0b1100100) + '\145' + '\143' + chr(3052 - 2941) + chr(307 - 207) + '\145')(chr(117) + chr(0b1011010 + 0o32) + '\x66' + '\055' + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c]\xe5\xbd\xe5\xc7\x18\x03\n\xe2\x84\x1c'), '\x64' + chr(1256 - 1155) + '\x63' + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(116) + chr(102) + chr(269 - 224) + chr(3006 - 2950)))(n4ljua2gi1Pr), holLFgwB7vsP, n4ljua2gi1Pr, data_dir=kVFRD544hi_1, params=nEbJZ4wfte2w, config=jAj7S20Ct06o, force_repeat=Q5HlHwWjWXJy, prevent_repeat=kcD5_yICCeDt)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/problem.py
|
Problem.serving_input_fn
|
def serving_input_fn(self, hparams, decode_hparams=None, use_tpu=False):
"""Input fn for serving export, starting from serialized example."""
mode = tf.estimator.ModeKeys.PREDICT
serialized_example = tf.placeholder(
dtype=tf.string, shape=[None], name="serialized_example")
dataset = tf.data.Dataset.from_tensor_slices(serialized_example)
dataset = dataset.map(self.decode_example)
dataset = dataset.map(lambda ex: self.preprocess_example(ex, mode, hparams))
dataset = dataset.map(data_reader.cast_ints_to_int32)
if use_tpu:
padded_shapes = data_reader.pad_for_tpu(dataset.output_shapes, hparams,
hparams.max_length)
batch_size = 1 if not decode_hparams else getattr(decode_hparams,
"batch_size", 1)
dataset = dataset.padded_batch(
batch_size, padded_shapes, drop_remainder=False)
dataset = dataset.map(
functools.partial(data_reader.pad_batch, batch_multiple=batch_size))
else:
dataset = dataset.padded_batch(
tf.shape(serialized_example, out_type=tf.int64)[0],
dataset.output_shapes)
dataset = dataset.map(data_reader.standardize_shapes)
features = tf.data.experimental.get_single_element(dataset)
if self.has_inputs:
features.pop("targets", None)
return tf.estimator.export.ServingInputReceiver(
features=features, receiver_tensors=serialized_example)
|
python
|
def serving_input_fn(self, hparams, decode_hparams=None, use_tpu=False):
"""Input fn for serving export, starting from serialized example."""
mode = tf.estimator.ModeKeys.PREDICT
serialized_example = tf.placeholder(
dtype=tf.string, shape=[None], name="serialized_example")
dataset = tf.data.Dataset.from_tensor_slices(serialized_example)
dataset = dataset.map(self.decode_example)
dataset = dataset.map(lambda ex: self.preprocess_example(ex, mode, hparams))
dataset = dataset.map(data_reader.cast_ints_to_int32)
if use_tpu:
padded_shapes = data_reader.pad_for_tpu(dataset.output_shapes, hparams,
hparams.max_length)
batch_size = 1 if not decode_hparams else getattr(decode_hparams,
"batch_size", 1)
dataset = dataset.padded_batch(
batch_size, padded_shapes, drop_remainder=False)
dataset = dataset.map(
functools.partial(data_reader.pad_batch, batch_multiple=batch_size))
else:
dataset = dataset.padded_batch(
tf.shape(serialized_example, out_type=tf.int64)[0],
dataset.output_shapes)
dataset = dataset.map(data_reader.standardize_shapes)
features = tf.data.experimental.get_single_element(dataset)
if self.has_inputs:
features.pop("targets", None)
return tf.estimator.export.ServingInputReceiver(
features=features, receiver_tensors=serialized_example)
|
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] |
Input fn for serving export, starting from serialized example.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/problem.py#L899-L930
|
train
|
Input fn for serving export starting from serialized example.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\x33' + '\x36', 65309 - 65301), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101 + 0o56) + chr(0b110011 + 0o0) + chr(0b101001 + 0o12), 31713 - 31705), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b101010 + 0o105) + chr(0b100 + 0o57) + chr(0b110101) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + chr(0b101100 + 0o12) + chr(0b110111), 51074 - 51066), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(2070 - 2020) + chr(0b110 + 0o57) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10101 + 0o36) + chr(2450 - 2400) + chr(2149 - 2099), ord("\x08")), ehT0Px3KOsy9(chr(130 - 82) + chr(0b11010 + 0o125) + chr(233 - 180) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(595 - 546) + chr(2349 - 2299) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7552 - 7441) + chr(1225 - 1176) + chr(0b110100) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101111 + 0o2) + '\065' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\x31' + '\060' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(1785 - 1735) + '\x37' + chr(0b110000 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(0b110001) + chr(0b101110 + 0o5) + '\067', 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(9931 - 9820) + '\066' + chr(551 - 498), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\x36' + chr(0b1 + 0o65), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(52) + chr(54), 21321 - 21313), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11110 + 0o23) + chr(1062 - 1008) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1031 - 980) + '\x33' + chr(400 - 352), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + '\x32' + '\x37' + chr(664 - 610), 0b1000), ehT0Px3KOsy9(chr(1409 - 1361) + chr(111) + '\062' + '\063' + chr(0b10111 + 0o34), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\062' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + '\x33' + '\067' + chr(1813 - 1765), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100010 + 0o21) + chr(0b110100) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(3965 - 3854) + chr(0b100 + 0o56) + '\065' + chr(48), 7678 - 7670), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b110000) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(0b101001 + 0o10) + chr(0b110010) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(0b110011) + chr(0b110000), 25307 - 25299), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(426 - 377) + chr(52) + chr(0b110001), 8), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110000) + '\061', 59257 - 59249), ehT0Px3KOsy9(chr(495 - 447) + chr(0b1001100 + 0o43) + '\062' + '\066' + chr(2421 - 2370), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\x36' + chr(2251 - 2202), 40842 - 40834), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + '\x31' + chr(1142 - 1089) + chr(877 - 826), 26106 - 26098), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\x31' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(51) + chr(50) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b1 + 0o64) + '\066', 0b1000), ehT0Px3KOsy9(chr(989 - 941) + '\157' + chr(2036 - 1987) + chr(1903 - 1855) + chr(0b111 + 0o53), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x36' + '\066', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101111) + '\065' + chr(48), 52704 - 52696)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'p'), chr(100) + chr(0b1010101 + 0o20) + chr(99) + chr(0b1101111) + chr(100) + chr(0b1 + 0o144))(chr(0b1010 + 0o153) + '\x74' + chr(4290 - 4188) + chr(45) + chr(1801 - 1745)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ghrSKrw_4z3G(oVre8I6UXc3b, n4ljua2gi1Pr, LrQSWg3uwmK8=None, L4eE7kczIJwa=ehT0Px3KOsy9(chr(48) + chr(0b1000000 + 0o57) + chr(1861 - 1813), 45133 - 45125)):
holLFgwB7vsP = IDJ2eXGCBCDu.estimator.ModeKeys.PREDICT
dP29lsCkOGW4 = IDJ2eXGCBCDu.placeholder(dtype=IDJ2eXGCBCDu.string, shape=[None], name=xafqLlk3kkUe(SXOLrMavuUCe(b'-\xbe\x9e^\xce\xbe@*\x04\rT"k\xd92Eh\x13'), '\x64' + chr(0b10011 + 0o122) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b101011 + 0o111) + chr(0b1100110) + chr(0b101101) + '\x38'))
xQt6gV9VfTO3 = IDJ2eXGCBCDu.data.Dataset.from_tensor_slices(dP29lsCkOGW4)
xQt6gV9VfTO3 = xQt6gV9VfTO3.map(oVre8I6UXc3b.decode_example)
xQt6gV9VfTO3 = xQt6gV9VfTO3.map(lambda DfdhY28yEwAF: oVre8I6UXc3b.preprocess_example(DfdhY28yEwAF, holLFgwB7vsP, n4ljua2gi1Pr))
xQt6gV9VfTO3 = xQt6gV9VfTO3.map(oPPijFrlo4k2.cast_ints_to_int32)
if L4eE7kczIJwa:
HI4hZPL6gW9O = oPPijFrlo4k2.pad_for_tpu(xQt6gV9VfTO3.output_shapes, n4ljua2gi1Pr, n4ljua2gi1Pr._o7pVXAdOCRy)
ix9dZyeAmUxY = ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + chr(0b110001), 29472 - 29464) if not LrQSWg3uwmK8 else xafqLlk3kkUe(LrQSWg3uwmK8, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xba\x98T\xc7\x8dZ9\x1b\x0c'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(6317 - 6217) + chr(101))(chr(0b1101011 + 0o12) + chr(0b1110100) + chr(0b11101 + 0o111) + '\x2d' + chr(2426 - 2370)), ehT0Px3KOsy9('\060' + chr(111) + chr(49), 8))
xQt6gV9VfTO3 = xQt6gV9VfTO3.padded_batch(ix9dZyeAmUxY, HI4hZPL6gW9O, drop_remainder=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100011 + 0o15), 8))
xQt6gV9VfTO3 = xQt6gV9VfTO3.map(E6ula8_Zv1yl.partial(oPPijFrlo4k2.pad_batch, batch_multiple=ix9dZyeAmUxY))
else:
xQt6gV9VfTO3 = xQt6gV9VfTO3.padded_batch(IDJ2eXGCBCDu.nauYfLglTpcb(dP29lsCkOGW4, out_type=IDJ2eXGCBCDu.int64)[ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 8)], xQt6gV9VfTO3.output_shapes)
xQt6gV9VfTO3 = xQt6gV9VfTO3.map(oPPijFrlo4k2.standardize_shapes)
EEf4r9nUvta_ = IDJ2eXGCBCDu.data.experimental.get_single_element(xQt6gV9VfTO3)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'6\xba\x9fh\xc6\xbcY%\x15\x1a'), chr(0b1100100) + chr(101) + chr(2650 - 2551) + chr(0b1101111) + chr(5872 - 5772) + '\x65')('\165' + chr(3162 - 3046) + '\x66' + '\x2d' + '\x38')):
xafqLlk3kkUe(EEf4r9nUvta_, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xb4\x9c'), chr(0b1111 + 0o125) + chr(6303 - 6202) + chr(0b1100011) + chr(0b11001 + 0o126) + chr(0b1100100) + chr(636 - 535))(chr(13279 - 13162) + '\x74' + chr(0b111101 + 0o51) + chr(77 - 32) + chr(1583 - 1527)))(xafqLlk3kkUe(SXOLrMavuUCe(b'*\xba\x9eP\xca\xa6Z'), chr(0b1100100) + '\145' + chr(99) + chr(0b101100 + 0o103) + chr(100) + chr(4651 - 4550))(chr(117) + '\x74' + chr(0b1100110) + '\055' + chr(0b11101 + 0o33)), None)
return xafqLlk3kkUe(IDJ2eXGCBCDu.estimator.export, xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xbe\x9eA\xc6\xbcN\x19\x0f\x19~3A\xdd<Pm\x00\x03\x07'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(111) + chr(0b1001010 + 0o32) + chr(0b1011 + 0o132))(chr(0b1011 + 0o152) + chr(0b1011101 + 0o27) + chr(0b1101 + 0o131) + chr(0b100101 + 0o10) + '\x38'))(features=EEf4r9nUvta_, receiver_tensors=dP29lsCkOGW4)
|
tensorflow/tensor2tensor
|
tensor2tensor/serving/export.py
|
_get_hparams_path
|
def _get_hparams_path():
"""Get hyper-parameters file path."""
hparams_path = None
if FLAGS.output_dir:
hparams_path = os.path.join(FLAGS.output_dir, "hparams.json")
else:
tf.logging.warning(
"--output_dir not specified. Hyper-parameters will be infered from"
"--hparams_set and --hparams only. These may not match training time"
"hyper-parameters.")
return hparams_path
|
python
|
def _get_hparams_path():
"""Get hyper-parameters file path."""
hparams_path = None
if FLAGS.output_dir:
hparams_path = os.path.join(FLAGS.output_dir, "hparams.json")
else:
tf.logging.warning(
"--output_dir not specified. Hyper-parameters will be infered from"
"--hparams_set and --hparams only. These may not match training time"
"hyper-parameters.")
return hparams_path
|
[
"def",
"_get_hparams_path",
"(",
")",
":",
"hparams_path",
"=",
"None",
"if",
"FLAGS",
".",
"output_dir",
":",
"hparams_path",
"=",
"os",
".",
"path",
".",
"join",
"(",
"FLAGS",
".",
"output_dir",
",",
"\"hparams.json\"",
")",
"else",
":",
"tf",
".",
"logging",
".",
"warning",
"(",
"\"--output_dir not specified. Hyper-parameters will be infered from\"",
"\"--hparams_set and --hparams only. These may not match training time\"",
"\"hyper-parameters.\"",
")",
"return",
"hparams_path"
] |
Get hyper-parameters file path.
|
[
"Get",
"hyper",
"-",
"parameters",
"file",
"path",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/serving/export.py#L47-L57
|
train
|
Get hyper - parameters file path.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11 + 0o56) + chr(1173 - 1118) + '\065', 0b1000), ehT0Px3KOsy9(chr(97 - 49) + '\157' + '\063' + chr(1695 - 1645), 0b1000), ehT0Px3KOsy9('\x30' + chr(7853 - 7742) + '\x32' + '\x32' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(10616 - 10505) + chr(0b110001) + chr(0b110001) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + chr(707 - 657) + chr(0b100110 + 0o13) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\067' + chr(0b100101 + 0o13), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000110 + 0o51) + chr(51) + chr(0b110000) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(0b11000 + 0o32) + '\062' + chr(163 - 115), ord("\x08")), ehT0Px3KOsy9(chr(981 - 933) + chr(0b1101010 + 0o5) + chr(0b110011) + '\065' + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\061' + chr(1967 - 1914), 8), ehT0Px3KOsy9(chr(2038 - 1990) + '\x6f' + '\x33' + chr(2575 - 2523) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(54) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b110101) + chr(0b110011), 17609 - 17601), ehT0Px3KOsy9(chr(2219 - 2171) + chr(0b1010101 + 0o32) + chr(49) + chr(1599 - 1549) + chr(423 - 369), 0o10), ehT0Px3KOsy9(chr(1566 - 1518) + '\157' + chr(0b110011) + chr(0b11100 + 0o31) + chr(0b1100 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(638 - 590) + chr(0b1101111) + chr(0b110000 + 0o1) + chr(0b110001) + chr(0b10011 + 0o44), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x34' + '\x33', 0o10), ehT0Px3KOsy9(chr(2019 - 1971) + chr(0b110001 + 0o76) + chr(0b110010) + '\067' + '\063', 29849 - 29841), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(0b10000 + 0o43) + chr(1859 - 1810) + chr(0b101111 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + '\062' + '\060' + '\062', 23951 - 23943), ehT0Px3KOsy9('\x30' + chr(2374 - 2263) + '\x31' + chr(1690 - 1640) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(0b11001 + 0o126) + chr(49) + chr(0b100 + 0o55) + chr(48), 10213 - 10205), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(778 - 724) + '\x30', 64420 - 64412), ehT0Px3KOsy9(chr(0b110000) + chr(4655 - 4544) + chr(853 - 799) + chr(54), 0b1000), ehT0Px3KOsy9(chr(902 - 854) + chr(0b1000001 + 0o56) + chr(0b1 + 0o63), 41744 - 41736), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1100 + 0o46) + chr(0b101010 + 0o13) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001 + 0o146) + chr(0b110010) + chr(0b101011 + 0o13) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(2060 - 2012) + '\x6f' + chr(0b1100 + 0o45) + '\x30' + chr(0b10100 + 0o34), 16308 - 16300), ehT0Px3KOsy9(chr(48) + chr(3393 - 3282) + chr(0b110010) + '\x37' + chr(0b110011 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(641 - 588) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(1362 - 1310) + chr(0b100101 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110110), 3541 - 3533), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000100 + 0o53) + chr(0b110010) + chr(0b111 + 0o54) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(209 - 161) + chr(0b1101111) + chr(2399 - 2345) + '\062', 44631 - 44623), ehT0Px3KOsy9('\x30' + chr(0b10100 + 0o133) + chr(0b110 + 0o53) + chr(50) + chr(1701 - 1646), 0b1000), ehT0Px3KOsy9('\x30' + chr(7150 - 7039) + '\x32' + chr(0b110101) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9290 - 9179) + chr(214 - 164) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\x30' + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b10111 + 0o37) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\064' + chr(0b110100), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + '\065' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'S'), chr(5575 - 5475) + chr(0b111011 + 0o52) + '\x63' + '\x6f' + chr(0b1010110 + 0o16) + chr(0b11111 + 0o106))(chr(0b1100100 + 0o21) + chr(4219 - 4103) + chr(0b1010110 + 0o20) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def k3tV7rubkE1d():
TNoWNk9tqizq = None
if xafqLlk3kkUe(vUTZFbqN0o8F, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12o\xe6>\xf8\x8c\x9c\xf4\x81\xff'), chr(100) + chr(1288 - 1187) + '\143' + '\157' + chr(0b10 + 0o142) + chr(0b1000000 + 0o45))('\165' + chr(0b1110010 + 0o2) + chr(102) + '\055' + chr(587 - 531))):
TNoWNk9tqizq = oqhJDdMJfuwx.path.join(vUTZFbqN0o8F.output_dir, xafqLlk3kkUe(SXOLrMavuUCe(b'\x15j\xf3<\xec\x95\xb0\xbe\x82\xfe\x8f\x1e'), chr(5841 - 5741) + chr(8656 - 8555) + chr(0b1100011) + '\157' + chr(5425 - 5325) + chr(0b1000010 + 0o43))(chr(0b1110101) + chr(10641 - 10525) + '\146' + chr(0b101101) + chr(2484 - 2428)))
else:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\n{\xe0 \xe4\x96\xa4'), chr(0b1011000 + 0o14) + chr(101) + '\143' + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(1780 - 1678) + chr(1628 - 1583) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'P7\xfd;\xf9\x88\xb6\xe4\xb7\xe9\x89\x02K8\x80;\x83\xc8\xba\xe73!V_a\xce\x98`\xf7T\x11k\xed\x1f\'\xccb\xa6\x1a\x01\t\x7f\xe0=\xad\x8f\xaa\xfc\x84\xad\x82\x15K?\x81)\xc6\xc9\xaf\xe6p.BYi\x87\x9b(\xcfL\x13o\xf2A\x08\xdeu\xb3W\x05\x13~\xb2c\xa0\x90\xb3\xf1\x9a\xec\x8d\x03K9\x81#\xda\x95\xea\xd68-CS$\xc7\xd79\x9fC\x0ez\xbf_6\xd9s\xafW\x10\x0f{\xfb \xe4\x96\xa4\xb0\x9c\xe4\x8d\x15\x03/\x9f*\xd1\x96\xba\xe3")]Sp\xcf\xc43\x91'), chr(0b1100100) + '\x65' + chr(1677 - 1578) + '\157' + chr(0b1001110 + 0o26) + chr(101))(chr(0b1000000 + 0o65) + chr(10786 - 10670) + '\x66' + chr(0b100110 + 0o7) + chr(0b11111 + 0o31)))
return TNoWNk9tqizq
|
tensorflow/tensor2tensor
|
tensor2tensor/serving/export.py
|
export_module_spec_with_checkpoint
|
def export_module_spec_with_checkpoint(module_spec,
checkpoint_path,
export_path,
scope_prefix=""):
"""Exports given checkpoint as tfhub module with given spec."""
# The main requirement is that it is possible to know how to map from
# module variable name to checkpoint variable name.
# This is trivial if the original code used variable scopes,
# but can be messy if the variables to export are interwined
# with variables not export.
with tf.Graph().as_default():
m = hub.Module(module_spec)
assign_map = {
scope_prefix + name: value for name, value in m.variable_map.items()
}
tf.train.init_from_checkpoint(checkpoint_path, assign_map)
init_op = tf.initializers.global_variables()
with tf.Session() as session:
session.run(init_op)
m.export(export_path, session)
|
python
|
def export_module_spec_with_checkpoint(module_spec,
checkpoint_path,
export_path,
scope_prefix=""):
"""Exports given checkpoint as tfhub module with given spec."""
# The main requirement is that it is possible to know how to map from
# module variable name to checkpoint variable name.
# This is trivial if the original code used variable scopes,
# but can be messy if the variables to export are interwined
# with variables not export.
with tf.Graph().as_default():
m = hub.Module(module_spec)
assign_map = {
scope_prefix + name: value for name, value in m.variable_map.items()
}
tf.train.init_from_checkpoint(checkpoint_path, assign_map)
init_op = tf.initializers.global_variables()
with tf.Session() as session:
session.run(init_op)
m.export(export_path, session)
|
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] |
Exports given checkpoint as tfhub module with given spec.
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/serving/export.py#L80-L100
|
train
|
Exports given checkpoint as tfhub module with given spec.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(423 - 312) + '\x33' + chr(52) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(296 - 248) + chr(111) + chr(0b110001) + chr(0b10000 + 0o43) + chr(0b1 + 0o61), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(49) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(2025 - 1976) + '\x34' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b110100) + chr(0b110011), 53591 - 53583), ehT0Px3KOsy9(chr(993 - 945) + chr(111) + chr(50) + chr(0b101100 + 0o11) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110111) + chr(0b101001 + 0o15), 7319 - 7311), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\x31' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(49) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b10010 + 0o42) + chr(1382 - 1334), 57354 - 57346), ehT0Px3KOsy9('\060' + chr(0b1000 + 0o147) + '\x32' + '\x30' + chr(1112 - 1061), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\x31' + chr(54) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(0b101001 + 0o106) + chr(385 - 334) + chr(2716 - 2662) + '\x33', 29368 - 29360), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + chr(49) + chr(0b110100) + chr(0b111 + 0o53), 8), ehT0Px3KOsy9('\060' + chr(111) + '\066' + chr(1379 - 1326), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(386 - 335) + chr(53) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110101 + 0o72) + chr(0b110011) + '\x32' + chr(0b1 + 0o62), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(51) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(930 - 879) + chr(0b1011 + 0o50), 11359 - 11351), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + '\x33' + '\x37' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(55) + chr(138 - 90), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(225 - 174) + chr(0b10011 + 0o36) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11011 + 0o27) + '\067' + chr(0b110 + 0o61), 53600 - 53592), ehT0Px3KOsy9('\x30' + chr(4208 - 4097) + chr(51) + chr(2007 - 1955), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\064' + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(1210 - 1160) + chr(0b10011 + 0o36) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(2039 - 1991) + '\x6f' + '\061' + chr(0b100000 + 0o20) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b100011 + 0o15) + chr(0b1110 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(141 - 93) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1475 - 1427) + chr(6848 - 6737) + chr(0b110011) + '\063' + chr(0b10110 + 0o33), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b110001) + chr(55), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + '\063' + chr(0b1 + 0o62) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(0b10100 + 0o133) + '\061' + '\063' + '\x30', 10831 - 10823), ehT0Px3KOsy9(chr(846 - 798) + chr(5371 - 5260) + chr(0b110010) + chr(1039 - 985) + chr(1730 - 1675), 0o10), ehT0Px3KOsy9(chr(48) + chr(1259 - 1148) + chr(0b110001) + chr(0b11010 + 0o31), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110110) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b101000 + 0o12) + chr(0b110110), 30796 - 30788)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + '\065' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xce'), chr(0b1010101 + 0o17) + chr(0b1011011 + 0o12) + chr(0b101010 + 0o71) + chr(0b10011 + 0o134) + '\x64' + '\145')('\x75' + chr(11256 - 11140) + chr(0b1010110 + 0o20) + chr(896 - 851) + chr(0b101111 + 0o11)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def iQSuX63BBUeJ(fbKK9ZfOGYAI, lbKq88EBpYWb, YPHrLWG7fTuj, qIzCQVoWrDTz=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b110011 + 0o61) + chr(101) + chr(5214 - 5115) + chr(268 - 157) + chr(100) + '\x65')(chr(0b1110101) + chr(0b10 + 0o162) + chr(8937 - 8835) + chr(45) + chr(56))):
with xafqLlk3kkUe(IDJ2eXGCBCDu.Graph(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x81)T\x06\x06\xc8_\xfa\xe6T'), chr(5377 - 5277) + chr(8135 - 8034) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b1101 + 0o130))(chr(0b1000100 + 0o61) + chr(7744 - 7628) + '\x66' + chr(45) + chr(1037 - 981)))():
r8ufID9JCHnI = hW5pZqnvrwUb.Module(fbKK9ZfOGYAI)
SsGJJTP9SrBo = {qIzCQVoWrDTz + AIvJRzLdDfgF: QmmgWUB13VCJ for (AIvJRzLdDfgF, QmmgWUB13VCJ) in r8ufID9JCHnI.variable_map.NzveIZ3IlSH9()}
xafqLlk3kkUe(IDJ2eXGCBCDu.train, xafqLlk3kkUe(SXOLrMavuUCe(b'\x894b\x16<\xc8L\xe0\xe7\x7f\xe0\x1d\x96\x01^\x98\xbc\xf4\xf5\x8c'), '\144' + chr(0b1100101) + chr(99) + chr(0b101 + 0o152) + '\x64' + '\145')(chr(117) + chr(0b1110100 + 0o0) + '\x66' + '\055' + chr(116 - 60)))(lbKq88EBpYWb, SsGJJTP9SrBo)
ywTyoxUDdzWN = IDJ2eXGCBCDu.initializers.global_variables()
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3?x\x11\n\xc1P'), chr(0b1100100) + chr(1772 - 1671) + '\x63' + chr(4450 - 4339) + chr(100) + chr(0b1100101))('\x75' + chr(0b1101011 + 0o11) + '\x66' + '\x2d' + chr(0b100111 + 0o21)))() as Q4vuWJRZ65bC:
xafqLlk3kkUe(Q4vuWJRZ65bC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x93=\x7fW!\xfb\x08\xbe\xe8W\xd9G'), chr(9997 - 9897) + '\145' + '\x63' + chr(0b1 + 0o156) + chr(0b1000100 + 0o40) + chr(101))(chr(10950 - 10833) + chr(0b1110001 + 0o3) + '\146' + '\x2d' + chr(56)))(ywTyoxUDdzWN)
xafqLlk3kkUe(r8ufID9JCHnI, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85"{\r\x11\xda'), chr(9140 - 9040) + chr(101) + chr(0b1100011) + '\x6f' + '\144' + chr(101))(chr(0b110000 + 0o105) + chr(0b1000000 + 0o64) + chr(102) + '\x2d' + chr(0b111000)))(YPHrLWG7fTuj, Q4vuWJRZ65bC)
|
tensorflow/tensor2tensor
|
tensor2tensor/serving/export.py
|
export_as_tfhub_module
|
def export_as_tfhub_module(model_name,
hparams,
decode_hparams,
problem,
checkpoint_path,
export_dir):
"""Exports the last checkpoint from the directory as tfhub module.
It creates the Module spec and signature (based on T2T problem information),
which is later used to create and export the hub module.
Module will be saved inside the ckpt_dir.
Args:
model_name: name of the model to be exported.
hparams: T2T parameters, model graph will be based on them.
decode_hparams: T2T parameters for decoding.
problem: the name of the problem
checkpoint_path: path to the checkpoint to be exported.
export_dir: Directory to write the exported model to.
"""
def hub_module_fn():
"""Creates the TF graph for the hub module."""
model_fn = t2t_model.T2TModel.make_estimator_model_fn(
model_name,
hparams,
decode_hparams=decode_hparams,
use_tpu=FLAGS.use_tpu)
features = problem.serving_input_fn(
hparams, decode_hparams, use_tpu=FLAGS.use_tpu).features
# we must do a copy of the features, as the model_fn can add additional
# entries there (like hyperparameter settings etc).
original_features = features.copy()
spec = model_fn(features, labels=None, mode=tf.estimator.ModeKeys.PREDICT)
hub.add_signature(
inputs=original_features,
outputs=spec.export_outputs["serving_default"].outputs)
# TFHub doesn't support the following collections.
drop_collections = [tf.GraphKeys.LOSSES,
tf.GraphKeys.SUMMARIES, tf.GraphKeys.LOCAL_VARIABLES]
module_spec = hub.create_module_spec(
hub_module_fn, drop_collections=drop_collections)
# Loads the weights from the checkpoint using the model above
# and saves it in the export_path.
export_module_spec_with_checkpoint(
module_spec,
checkpoint_path=checkpoint_path,
export_path=export_dir,
scope_prefix="")
|
python
|
def export_as_tfhub_module(model_name,
hparams,
decode_hparams,
problem,
checkpoint_path,
export_dir):
"""Exports the last checkpoint from the directory as tfhub module.
It creates the Module spec and signature (based on T2T problem information),
which is later used to create and export the hub module.
Module will be saved inside the ckpt_dir.
Args:
model_name: name of the model to be exported.
hparams: T2T parameters, model graph will be based on them.
decode_hparams: T2T parameters for decoding.
problem: the name of the problem
checkpoint_path: path to the checkpoint to be exported.
export_dir: Directory to write the exported model to.
"""
def hub_module_fn():
"""Creates the TF graph for the hub module."""
model_fn = t2t_model.T2TModel.make_estimator_model_fn(
model_name,
hparams,
decode_hparams=decode_hparams,
use_tpu=FLAGS.use_tpu)
features = problem.serving_input_fn(
hparams, decode_hparams, use_tpu=FLAGS.use_tpu).features
# we must do a copy of the features, as the model_fn can add additional
# entries there (like hyperparameter settings etc).
original_features = features.copy()
spec = model_fn(features, labels=None, mode=tf.estimator.ModeKeys.PREDICT)
hub.add_signature(
inputs=original_features,
outputs=spec.export_outputs["serving_default"].outputs)
# TFHub doesn't support the following collections.
drop_collections = [tf.GraphKeys.LOSSES,
tf.GraphKeys.SUMMARIES, tf.GraphKeys.LOCAL_VARIABLES]
module_spec = hub.create_module_spec(
hub_module_fn, drop_collections=drop_collections)
# Loads the weights from the checkpoint using the model above
# and saves it in the export_path.
export_module_spec_with_checkpoint(
module_spec,
checkpoint_path=checkpoint_path,
export_path=export_dir,
scope_prefix="")
|
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] |
Exports the last checkpoint from the directory as tfhub module.
It creates the Module spec and signature (based on T2T problem information),
which is later used to create and export the hub module.
Module will be saved inside the ckpt_dir.
Args:
model_name: name of the model to be exported.
hparams: T2T parameters, model graph will be based on them.
decode_hparams: T2T parameters for decoding.
problem: the name of the problem
checkpoint_path: path to the checkpoint to be exported.
export_dir: Directory to write the exported model to.
|
[
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"module",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/serving/export.py#L103-L154
|
train
|
Exports the last checkpoint from the directory as tfhub module.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(1185 - 1135) + '\x34' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1100101 + 0o12) + chr(0b110001) + chr(954 - 904) + '\064', 62763 - 62755), ehT0Px3KOsy9(chr(0b110000) + chr(0b10001 + 0o136) + chr(52) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(486 - 436) + '\x35' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b110101) + chr(869 - 817), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100100 + 0o16) + chr(985 - 935) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1100 + 0o47) + '\061', 0o10), ehT0Px3KOsy9(chr(1836 - 1788) + chr(0b100011 + 0o114) + '\063' + chr(1584 - 1535), 8), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1000 + 0o147) + chr(52) + chr(1517 - 1469), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(53) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(0b1111 + 0o42) + chr(0b110000) + '\x32', 56696 - 56688), ehT0Px3KOsy9('\060' + chr(0b10110 + 0o131) + '\061' + '\x37' + '\x34', 10684 - 10676), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11010 + 0o31) + chr(0b110001) + chr(51), 23823 - 23815), ehT0Px3KOsy9(chr(1338 - 1290) + chr(0b101001 + 0o106) + chr(0b10001 + 0o42) + '\x37' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\060' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110000) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\066', 55628 - 55620), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\065' + chr(1413 - 1358), 0b1000), ehT0Px3KOsy9(chr(1936 - 1888) + chr(0b1101001 + 0o6) + chr(487 - 438) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\067' + chr(0b10001 + 0o45), 52030 - 52022), ehT0Px3KOsy9(chr(48) + chr(7493 - 7382) + chr(50) + chr(1517 - 1467) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1653 - 1604) + chr(0b110111) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\064' + chr(0b110111), 53270 - 53262), ehT0Px3KOsy9(chr(0b110000) + chr(8752 - 8641) + chr(1116 - 1067) + '\062' + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(1431 - 1320) + chr(0b110001) + chr(0b110011) + chr(0b10001 + 0o37), 16969 - 16961), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b100101 + 0o112) + chr(51) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1650 - 1539) + chr(0b101100 + 0o7) + chr(51) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + '\x31' + chr(0b110100) + chr(1802 - 1753), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + '\x33' + chr(0b10110 + 0o36) + chr(1271 - 1221), 40847 - 40839), ehT0Px3KOsy9(chr(1235 - 1187) + '\157' + '\x33' + chr(48) + chr(2416 - 2364), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(52) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(4317 - 4206) + chr(309 - 260) + chr(0b110000 + 0o0) + chr(0b101101 + 0o10), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x37' + chr(0b101101 + 0o11), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b100100 + 0o17) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + chr(4435 - 4324) + chr(0b110010) + chr(0b1100 + 0o51) + chr(0b101 + 0o62), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\060' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(455 - 407) + chr(111) + chr(53) + chr(0b10010 + 0o44), 5340 - 5332), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101 + 0o54) + chr(0b110101) + chr(270 - 220), 48217 - 48209), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(2493 - 2382) + '\x31' + chr(0b110001) + chr(1804 - 1751), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + '\060', 43028 - 43020)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a'), chr(0b1100100) + chr(558 - 457) + '\143' + chr(0b100010 + 0o115) + chr(0b110001 + 0o63) + '\x65')(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZupTHNV5xq7a(yJFe33rl9i_r, n4ljua2gi1Pr, LrQSWg3uwmK8, sO7e1A_Mor6Q, lbKq88EBpYWb, Y_BbzujYEx9L):
def QE4XYXaEg9Yj():
zXZmJGZDQ0u3 = BeAyCOlpGTfm.T2TModel.make_estimator_model_fn(yJFe33rl9i_r, n4ljua2gi1Pr, decode_hparams=LrQSWg3uwmK8, use_tpu=vUTZFbqN0o8F.use_tpu)
EEf4r9nUvta_ = sO7e1A_Mor6Q.serving_input_fn(n4ljua2gi1Pr, LrQSWg3uwmK8, use_tpu=vUTZFbqN0o8F.use_tpu).features
Ptf0JPhZX9xV = EEf4r9nUvta_.igThHS4jwVsa()
IH4wfF5htxM9 = zXZmJGZDQ0u3(EEf4r9nUvta_, labels=None, mode=IDJ2eXGCBCDu.estimator.ModeKeys.PREDICT)
xafqLlk3kkUe(hW5pZqnvrwUb, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc50A\xf7\x1f\xfb~wA[7\x0e\xae'), '\144' + chr(101) + '\143' + '\x6f' + chr(0b100110 + 0o76) + '\x65')(chr(0b1110101) + chr(9336 - 9220) + '\x66' + chr(0b101101) + chr(2689 - 2633)))(inputs=Ptf0JPhZX9xV, outputs=xafqLlk3kkUe(IH4wfF5htxM9.export_outputs[xafqLlk3kkUe(SXOLrMavuUCe(b'\xd71W\xde\x05\xfc~FDJ$\x1d\xbe\x97\xf3'), chr(0b1001011 + 0o31) + '\145' + chr(0b1100011) + '\157' + '\x64' + '\145')(chr(0b1100111 + 0o16) + '\x74' + chr(6686 - 6584) + chr(45) + '\070')], xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0,z\xec\x00\xfeC!Ul)\x13'), chr(0b1100100) + chr(7096 - 6995) + '\x63' + chr(5602 - 5491) + chr(0b1100100) + chr(101))('\165' + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000))))
PQV7MixlWmnZ = [IDJ2eXGCBCDu.GraphKeys.LOSSES, IDJ2eXGCBCDu.GraphKeys.SUMMARIES, IDJ2eXGCBCDu.GraphKeys.LOCAL_VARIABLES]
fbKK9ZfOGYAI = hW5pZqnvrwUb.create_module_spec(QE4XYXaEg9Yj, drop_collections=PQV7MixlWmnZ)
iQSuX63BBUeJ(fbKK9ZfOGYAI, checkpoint_path=lbKq88EBpYWb, export_path=Y_BbzujYEx9L, scope_prefix=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b111000 + 0o54) + chr(0b1100101) + chr(99) + '\157' + '\144' + chr(0b11000 + 0o115))(chr(0b1110101) + chr(0b1001110 + 0o46) + chr(102) + chr(45) + '\070'))
|
tensorflow/tensor2tensor
|
tensor2tensor/visualization/visualization.py
|
build_model
|
def build_model(hparams_set, model_name, data_dir, problem_name, beam_size=1):
"""Build the graph required to fetch the attention weights.
Args:
hparams_set: HParams set to build the model with.
model_name: Name of model.
data_dir: Path to directory containing training data.
problem_name: Name of problem.
beam_size: (Optional) Number of beams to use when decoding a translation.
If set to 1 (default) then greedy decoding is used.
Returns:
Tuple of (
inputs: Input placeholder to feed in ids to be translated.
targets: Targets placeholder to feed to translation when fetching
attention weights.
samples: Tensor representing the ids of the translation.
att_mats: Tensors representing the attention weights.
)
"""
hparams = trainer_lib.create_hparams(
hparams_set, data_dir=data_dir, problem_name=problem_name)
translate_model = registry.model(model_name)(
hparams, tf.estimator.ModeKeys.EVAL)
inputs = tf.placeholder(tf.int32, shape=(1, None, 1, 1), name="inputs")
targets = tf.placeholder(tf.int32, shape=(1, None, 1, 1), name="targets")
translate_model({
"inputs": inputs,
"targets": targets,
})
# Must be called after building the training graph, so that the dict will
# have been filled with the attention tensors. BUT before creating the
# inference graph otherwise the dict will be filled with tensors from
# inside a tf.while_loop from decoding and are marked unfetchable.
att_mats = get_att_mats(translate_model)
with tf.variable_scope(tf.get_variable_scope(), reuse=True):
samples = translate_model.infer({
"inputs": inputs,
}, beam_size=beam_size)["outputs"]
return inputs, targets, samples, att_mats
|
python
|
def build_model(hparams_set, model_name, data_dir, problem_name, beam_size=1):
"""Build the graph required to fetch the attention weights.
Args:
hparams_set: HParams set to build the model with.
model_name: Name of model.
data_dir: Path to directory containing training data.
problem_name: Name of problem.
beam_size: (Optional) Number of beams to use when decoding a translation.
If set to 1 (default) then greedy decoding is used.
Returns:
Tuple of (
inputs: Input placeholder to feed in ids to be translated.
targets: Targets placeholder to feed to translation when fetching
attention weights.
samples: Tensor representing the ids of the translation.
att_mats: Tensors representing the attention weights.
)
"""
hparams = trainer_lib.create_hparams(
hparams_set, data_dir=data_dir, problem_name=problem_name)
translate_model = registry.model(model_name)(
hparams, tf.estimator.ModeKeys.EVAL)
inputs = tf.placeholder(tf.int32, shape=(1, None, 1, 1), name="inputs")
targets = tf.placeholder(tf.int32, shape=(1, None, 1, 1), name="targets")
translate_model({
"inputs": inputs,
"targets": targets,
})
# Must be called after building the training graph, so that the dict will
# have been filled with the attention tensors. BUT before creating the
# inference graph otherwise the dict will be filled with tensors from
# inside a tf.while_loop from decoding and are marked unfetchable.
att_mats = get_att_mats(translate_model)
with tf.variable_scope(tf.get_variable_scope(), reuse=True):
samples = translate_model.infer({
"inputs": inputs,
}, beam_size=beam_size)["outputs"]
return inputs, targets, samples, att_mats
|
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] |
Build the graph required to fetch the attention weights.
Args:
hparams_set: HParams set to build the model with.
model_name: Name of model.
data_dir: Path to directory containing training data.
problem_name: Name of problem.
beam_size: (Optional) Number of beams to use when decoding a translation.
If set to 1 (default) then greedy decoding is used.
Returns:
Tuple of (
inputs: Input placeholder to feed in ids to be translated.
targets: Targets placeholder to feed to translation when fetching
attention weights.
samples: Tensor representing the ids of the translation.
att_mats: Tensors representing the attention weights.
)
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/visualization/visualization.py#L113-L156
|
train
|
Builds the training graph required to fetch the attention weights.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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 + 0o0) + '\x31' + chr(49) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1001101 + 0o42) + chr(0b10110 + 0o33) + '\063' + chr(187 - 132), 8776 - 8768), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(2155 - 2107) + chr(49), 54640 - 54632), ehT0Px3KOsy9('\x30' + chr(8954 - 8843) + '\x33' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(52) + chr(0b11001 + 0o31), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(54) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(2827 - 2772) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b110011) + '\064', 37804 - 37796), ehT0Px3KOsy9('\060' + chr(0b1101001 + 0o6) + chr(0b100110 + 0o14) + chr(0b100100 + 0o20) + chr(685 - 632), ord("\x08")), ehT0Px3KOsy9(chr(151 - 103) + '\157' + '\063' + '\060' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(0b110011) + '\x34' + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + chr(49) + '\x36' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + chr(55) + chr(95 - 41), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\060' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b111101 + 0o62) + chr(55) + chr(0b11111 + 0o22), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1001 + 0o50) + '\x35' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(1317 - 1268) + chr(105 - 54), 54955 - 54947), ehT0Px3KOsy9('\060' + chr(0b1101 + 0o142) + chr(2376 - 2323) + chr(634 - 582), 0o10), ehT0Px3KOsy9(chr(359 - 311) + chr(111) + chr(0b11111 + 0o24) + chr(0b101010 + 0o11) + chr(0b11011 + 0o30), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3098 - 2987) + '\x32' + chr(52) + '\x32', 45744 - 45736), ehT0Px3KOsy9('\x30' + chr(0b100011 + 0o114) + '\x31' + chr(0b101100 + 0o13) + '\x30', 53262 - 53254), ehT0Px3KOsy9(chr(813 - 765) + chr(0b1100000 + 0o17) + chr(49) + chr(0b101100 + 0o11) + '\x30', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\x34' + chr(2250 - 2195), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + chr(2665 - 2611) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\062', 3164 - 3156), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b10010 + 0o135) + chr(1084 - 1034) + chr(1721 - 1670) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(50) + chr(0b110000), 57955 - 57947), ehT0Px3KOsy9('\x30' + chr(0b1101100 + 0o3) + '\061' + '\x34' + chr(0b1111 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b10000 + 0o137) + '\062' + chr(1518 - 1470) + chr(0b101111 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(1711 - 1663) + chr(972 - 861) + '\062' + '\x31' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1626 - 1575) + '\062' + chr(2135 - 2083), 59206 - 59198), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110111) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b101101 + 0o4) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1391 - 1343) + chr(0b1010101 + 0o32) + '\x33' + '\x31' + chr(2223 - 2174), ord("\x08")), ehT0Px3KOsy9(chr(1170 - 1122) + '\x6f' + chr(53) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b110000) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(49) + '\064' + chr(1047 - 999), 0b1000), ehT0Px3KOsy9(chr(1280 - 1232) + chr(111) + chr(0b101001 + 0o11) + chr(220 - 165) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\x32' + chr(477 - 426), ord("\x08")), ehT0Px3KOsy9(chr(2105 - 2057) + '\x6f' + chr(51) + '\065', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(1782 - 1729) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'a'), '\x64' + '\145' + '\143' + '\157' + chr(3976 - 3876) + chr(101))('\165' + chr(7133 - 7017) + '\x66' + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def HVXVtcU8izfP(EoFZz4ccL1aJ, yJFe33rl9i_r, kVFRD544hi_1, wezGpYDorAsK, PQZjDxhiHJGf=ehT0Px3KOsy9(chr(48) + chr(111) + chr(49), 36225 - 36217)):
n4ljua2gi1Pr = KvtIAVGi33Ty.create_hparams(EoFZz4ccL1aJ, data_dir=kVFRD544hi_1, problem_name=wezGpYDorAsK)
J4XODYeL7J6A = U24OBsRcVqkJ.FK0vqzZ5gPN6(yJFe33rl9i_r)(n4ljua2gi1Pr, IDJ2eXGCBCDu.estimator.ModeKeys.EVAL)
vXoupepMtCXU = IDJ2eXGCBCDu.placeholder(IDJ2eXGCBCDu.int32, shape=(ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100110 + 0o13), 8), None, ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b100100 + 0o113) + chr(1448 - 1399), 8), ehT0Px3KOsy9('\060' + chr(1001 - 890) + chr(0b110001), 8)), name=xafqLlk3kkUe(SXOLrMavuUCe(b'&1\xf1l\x96\x80'), chr(0b1100100) + '\x65' + '\x63' + '\157' + chr(0b1100100) + '\x65')('\x75' + chr(0b11001 + 0o133) + chr(0b10110 + 0o120) + '\055' + chr(0b10010 + 0o46)))
xIEmRseySp3z = IDJ2eXGCBCDu.placeholder(IDJ2eXGCBCDu.int32, shape=(ehT0Px3KOsy9('\x30' + chr(111) + chr(1373 - 1324), 8), None, ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49), 8), ehT0Px3KOsy9('\x30' + chr(5016 - 4905) + '\x31', 8)), name=xafqLlk3kkUe(SXOLrMavuUCe(b';>\xf3~\x87\x87\x8b'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(117) + chr(10139 - 10023) + chr(102) + '\x2d' + chr(0b111000)))
J4XODYeL7J6A({xafqLlk3kkUe(SXOLrMavuUCe(b'&1\xf1l\x96\x80'), '\x64' + chr(0b111010 + 0o53) + '\x63' + '\157' + chr(100) + chr(0b110000 + 0o65))(chr(4467 - 4350) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b110011 + 0o5)): vXoupepMtCXU, xafqLlk3kkUe(SXOLrMavuUCe(b';>\xf3~\x87\x87\x8b'), '\x64' + chr(101) + chr(99) + '\x6f' + chr(6690 - 6590) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b1011000 + 0o16) + '\x2d' + chr(56)): xIEmRseySp3z})
mFC4wfloFTId = wbfMz3jNJDH7(J4XODYeL7J6A)
with xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'9>\xf3p\x83\x91\x94\xf9\xfa\xb6\x86\x1cN%'), '\144' + chr(0b1100101) + chr(0b10001 + 0o122) + chr(0b1101111) + chr(293 - 193) + chr(0b100111 + 0o76))(chr(0b1000010 + 0o63) + chr(0b1101111 + 0o5) + '\146' + '\x2d' + chr(0b11010 + 0o36)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'(:\xf5F\x94\x92\x8a\xf5\xc4\xa7\x89\x16a3Z\x07;I'), chr(0b101000 + 0o74) + chr(0b1100101) + chr(6676 - 6577) + '\x6f' + chr(100) + '\145')(chr(0b1010001 + 0o44) + '\x74' + chr(8062 - 7960) + '\x2d' + '\x38'))(), reuse=ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31', 8)):
db1_IZvznkcy = J4XODYeL7J6A.IhRMh3nN8G5I({xafqLlk3kkUe(SXOLrMavuUCe(b'&1\xf1l\x96\x80'), '\144' + '\145' + '\143' + chr(111) + chr(0b1001 + 0o133) + chr(0b1100101))(chr(12753 - 12636) + '\x74' + chr(0b1100010 + 0o4) + '\055' + chr(56)): vXoupepMtCXU}, beam_size=PQZjDxhiHJGf)[xafqLlk3kkUe(SXOLrMavuUCe(b' *\xf5i\x97\x87\x8b'), chr(0b1010110 + 0o16) + '\x65' + '\x63' + chr(2788 - 2677) + chr(100) + chr(101))('\165' + chr(3702 - 3586) + '\x66' + chr(0b11000 + 0o25) + chr(0b11100 + 0o34))]
return (vXoupepMtCXU, xIEmRseySp3z, db1_IZvznkcy, mFC4wfloFTId)
|
tensorflow/tensor2tensor
|
tensor2tensor/visualization/visualization.py
|
get_att_mats
|
def get_att_mats(translate_model):
"""Get's the tensors representing the attentions from a build model.
The attentions are stored in a dict on the Transformer object while building
the graph.
Args:
translate_model: Transformer object to fetch the attention weights from.
Returns:
Tuple of attention matrices; (
enc_atts: Encoder self attention weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, inp_len, inp_len)
dec_atts: Decoder self attetnion weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, out_len, out_len)
encdec_atts: Encoder-Decoder attention weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, out_len, inp_len)
)
"""
enc_atts = []
dec_atts = []
encdec_atts = []
prefix = "transformer/body/"
postfix_self_attention = "/multihead_attention/dot_product_attention"
if translate_model.hparams.self_attention_type == "dot_product_relative":
postfix_self_attention = ("/multihead_attention/"
"dot_product_attention_relative")
postfix_encdec = "/multihead_attention/dot_product_attention"
for i in range(translate_model.hparams.num_hidden_layers):
enc_att = translate_model.attention_weights[
"%sencoder/layer_%i/self_attention%s"
% (prefix, i, postfix_self_attention)]
dec_att = translate_model.attention_weights[
"%sdecoder/layer_%i/self_attention%s"
% (prefix, i, postfix_self_attention)]
encdec_att = translate_model.attention_weights[
"%sdecoder/layer_%i/encdec_attention%s" % (prefix, i, postfix_encdec)]
enc_atts.append(enc_att)
dec_atts.append(dec_att)
encdec_atts.append(encdec_att)
return enc_atts, dec_atts, encdec_atts
|
python
|
def get_att_mats(translate_model):
"""Get's the tensors representing the attentions from a build model.
The attentions are stored in a dict on the Transformer object while building
the graph.
Args:
translate_model: Transformer object to fetch the attention weights from.
Returns:
Tuple of attention matrices; (
enc_atts: Encoder self attention weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, inp_len, inp_len)
dec_atts: Decoder self attetnion weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, out_len, out_len)
encdec_atts: Encoder-Decoder attention weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, out_len, inp_len)
)
"""
enc_atts = []
dec_atts = []
encdec_atts = []
prefix = "transformer/body/"
postfix_self_attention = "/multihead_attention/dot_product_attention"
if translate_model.hparams.self_attention_type == "dot_product_relative":
postfix_self_attention = ("/multihead_attention/"
"dot_product_attention_relative")
postfix_encdec = "/multihead_attention/dot_product_attention"
for i in range(translate_model.hparams.num_hidden_layers):
enc_att = translate_model.attention_weights[
"%sencoder/layer_%i/self_attention%s"
% (prefix, i, postfix_self_attention)]
dec_att = translate_model.attention_weights[
"%sdecoder/layer_%i/self_attention%s"
% (prefix, i, postfix_self_attention)]
encdec_att = translate_model.attention_weights[
"%sdecoder/layer_%i/encdec_attention%s" % (prefix, i, postfix_encdec)]
enc_atts.append(enc_att)
dec_atts.append(dec_att)
encdec_atts.append(encdec_att)
return enc_atts, dec_atts, encdec_atts
|
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Get's the tensors representing the attentions from a build model.
The attentions are stored in a dict on the Transformer object while building
the graph.
Args:
translate_model: Transformer object to fetch the attention weights from.
Returns:
Tuple of attention matrices; (
enc_atts: Encoder self attention weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, inp_len, inp_len)
dec_atts: Decoder self attetnion weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, out_len, out_len)
encdec_atts: Encoder-Decoder attention weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, out_len, inp_len)
)
|
[
"Get",
"s",
"the",
"tensors",
"representing",
"the",
"attentions",
"from",
"a",
"build",
"model",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/visualization/visualization.py#L159-L205
|
train
|
Get s the tensors representing the attentions from a build 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(4168 - 4057) + '\x31' + chr(0b101001 + 0o16) + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(2236 - 2186) + chr(48) + '\066', 0b1000), ehT0Px3KOsy9(chr(928 - 880) + chr(0b1101111) + '\x32' + chr(2084 - 2035) + chr(617 - 562), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000110 + 0o51) + '\x31' + '\x33' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100011 + 0o21) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4972 - 4861) + chr(0b1110 + 0o44) + chr(0b110011) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + '\063' + chr(0b1010 + 0o53) + chr(0b100110 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101110 + 0o101) + chr(0b1101 + 0o44) + chr(1235 - 1184), 29673 - 29665), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(2869 - 2758) + chr(75 - 26) + '\x30' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1000 + 0o52) + '\x35' + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b100010 + 0o20) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1819 - 1771) + chr(111) + chr(51) + chr(0b110011) + chr(1758 - 1703), 20129 - 20121), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2269 - 2220) + chr(0b110111) + chr(0b110111), 8), ehT0Px3KOsy9(chr(48) + chr(0b1000010 + 0o55) + chr(0b11010 + 0o30) + chr(0b110011) + chr(2417 - 2364), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b100101 + 0o15), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(1117 - 1065), 30598 - 30590), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b101110 + 0o101) + '\061' + '\065' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010 + 0o1) + '\x32' + '\x30', 34195 - 34187), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110101) + chr(52), 13900 - 13892), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(2345 - 2296) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b100010 + 0o17) + '\x32', 19165 - 19157), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + chr(53) + '\063', 14966 - 14958), ehT0Px3KOsy9(chr(48) + chr(10232 - 10121) + chr(0b1010 + 0o47) + chr(50) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8705 - 8594) + chr(0b110100 + 0o1) + chr(2078 - 2029), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11001 + 0o35) + chr(49), 55764 - 55756), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\065' + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11011 + 0o31) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(2070 - 2022) + chr(111) + chr(1224 - 1173) + chr(0b110101) + chr(0b11000 + 0o31), 0b1000), ehT0Px3KOsy9(chr(1154 - 1106) + chr(0b1100100 + 0o13) + chr(53) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(55) + chr(2615 - 2561), 5855 - 5847), ehT0Px3KOsy9(chr(2158 - 2110) + chr(4455 - 4344) + chr(0b110010) + chr(2556 - 2504) + '\060', 26189 - 26181), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110111), 8249 - 8241), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000 + 0o1) + chr(0b11001 + 0o30) + chr(0b100000 + 0o25), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(48) + chr(721 - 672), 12994 - 12986), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + chr(51) + chr(0b101 + 0o56) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1001100 + 0o43) + chr(0b110001) + '\x36' + chr(0b110110), 24021 - 24013), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(0b110010) + '\063' + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b110100), 50418 - 50410), ehT0Px3KOsy9('\x30' + chr(11127 - 11016) + chr(0b11111 + 0o22) + chr(53) + chr(0b1010 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2507 - 2456) + chr(338 - 290) + chr(0b1111 + 0o41), 53045 - 53037)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(53) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Q'), chr(0b1100100) + chr(0b1011110 + 0o7) + chr(0b110010 + 0o61) + chr(0b1101111) + '\x64' + '\x65')(chr(117) + chr(11833 - 11717) + chr(102) + chr(341 - 296) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wbfMz3jNJDH7(J4XODYeL7J6A):
YwTxVlXs3fGQ = []
xRXyHs5wBiFb = []
QGiQ5qJL9aHZ = []
K1Ha0XjJTAE7 = xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\xf4\xee7U\xfb\x82y.\xcb\xe3\xf0\x1d\xf2fmC'), '\x64' + '\145' + chr(0b111101 + 0o46) + chr(111) + chr(5238 - 5138) + '\145')(chr(0b1000001 + 0o64) + chr(0b1110100 + 0o0) + chr(0b1100001 + 0o5) + chr(0b101001 + 0o4) + chr(2689 - 2633))
SPDuZIhu5Bx1 = xafqLlk3kkUe(SXOLrMavuUCe(b'P\xeb\xfa5R\xf4\x85n"\xca\xce\xbe\x0b\xe9gz\x18\xb9\xc3%\xe5O?]n\xddP\x86K\x8b\xc3{\x12\xa0\xa9\x02\xf8r\x1e\xa9\x10\xe8'), chr(0b100101 + 0o77) + '\x65' + chr(99) + chr(0b1101111) + '\x64' + '\x65')('\165' + chr(4636 - 4520) + chr(4773 - 4671) + chr(1417 - 1372) + chr(0b111000))
if xafqLlk3kkUe(J4XODYeL7J6A.hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xe3\xe3?y\xfc\x99\x7f&\xc0\xe5\xb6\x10\xf3]`\x15\xa0\xc9'), '\x64' + '\145' + chr(0b1000101 + 0o36) + chr(0b100111 + 0o110) + chr(0b11001 + 0o113) + '\x65')(chr(117) + chr(0b1110100) + '\146' + chr(1625 - 1580) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\xe9\xfb\x06V\xef\x82o6\xcd\xe5\x80\r\xf8nu\x18\xb9\xda.'), chr(4223 - 4123) + chr(8189 - 8088) + '\x63' + '\x6f' + '\x64' + chr(4153 - 4052))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b111 + 0o46) + chr(56)):
SPDuZIhu5Bx1 = xafqLlk3kkUe(SXOLrMavuUCe(b'P\xeb\xfa5R\xf4\x85n"\xca\xce\xbe\x0b\xe9gz\x18\xb9\xc3%\xe5O?]n\xddP\x86K\x8b\xc3{\x12\xa0\xa9\x02\xf8r\x1e\xa9\x10\xe8\xd0+C\xf1\x8c\x7f*\xd8\xf4'), '\x64' + '\x65' + chr(9664 - 9565) + chr(12260 - 12149) + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b101010 + 0o112) + '\x66' + chr(45) + chr(2323 - 2267))
ScIDDdvuJiyl = xafqLlk3kkUe(SXOLrMavuUCe(b'P\xeb\xfa5R\xf4\x85n"\xca\xce\xbe\x0b\xe9gz\x18\xb9\xc3%\xe5O?]n\xddP\x86K\x8b\xc3{\x12\xa0\xa9\x02\xf8r\x1e\xa9\x10\xe8'), '\x64' + chr(0b1100101) + chr(0b10110 + 0o115) + chr(0b1101111) + chr(100) + '\145')(chr(4044 - 3927) + '\164' + chr(4925 - 4823) + '\x2d' + '\070')
for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(J4XODYeL7J6A.hparams, xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\xdc\xe7ly\xed\xa1^,\xe1\xfe\x85'), chr(100) + '\x65' + chr(0b1100011) + '\157' + chr(0b100011 + 0o101) + chr(101))(chr(0b1110101) + chr(116) + '\x66' + chr(1401 - 1356) + '\x38'))):
xeGPQvD4b2OS = J4XODYeL7J6A.attention_weights[xafqLlk3kkUe(SXOLrMavuUCe(b'Z\xf5\xea7E\xf2\x89n1\x81\xfd\xbe\x06\xf8pKI\xb9\x838\xafG6vP\xd9V\x8cA\x8a\xc9`#\xe4\xae'), '\144' + chr(101) + '\x63' + '\x6f' + chr(0b1001111 + 0o25) + chr(6512 - 6411))(chr(117) + '\164' + chr(102) + chr(0b101101) + '\x38') % (K1Ha0XjJTAE7, WVxHKyX45z_L, SPDuZIhu5Bx1)]
ETaRpCvQ5ehg = J4XODYeL7J6A.attention_weights[xafqLlk3kkUe(SXOLrMavuUCe(b'Z\xf5\xeb<E\xf2\x89n1\x81\xfd\xbe\x06\xf8pKI\xb9\x838\xafG6vP\xd9V\x8cA\x8a\xc9`#\xe4\xae'), '\144' + '\x65' + chr(99) + '\x6f' + '\144' + '\x65')(chr(3513 - 3396) + chr(0b1110100) + '\146' + '\055' + '\070') % (K1Ha0XjJTAE7, WVxHKyX45z_L, SPDuZIhu5Bx1)]
T7PXcIi5InTJ = J4XODYeL7J6A.attention_weights[xafqLlk3kkUe(SXOLrMavuUCe(b'Z\xf5\xeb<E\xf2\x89n1\x81\xfd\xbe\x06\xf8pKI\xb9\x83.\xa4H4LR\xf2C\x9d[\x9b\xce{$\xae\xb3S\xee'), '\x64' + '\x65' + '\143' + chr(0b10011 + 0o134) + '\x64' + chr(0b11111 + 0o106))(chr(0b1110101) + '\164' + '\x66' + '\x2d' + chr(56)) % (K1Ha0XjJTAE7, WVxHKyX45z_L, ScIDDdvuJiyl)]
xafqLlk3kkUe(YwTxVlXs3fGQ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xf6\xff<H\xf9'), chr(100) + '\x65' + chr(0b1100011) + '\157' + chr(4328 - 4228) + chr(101))(chr(117) + chr(116) + chr(0b1011000 + 0o16) + '\x2d' + chr(0b100 + 0o64)))(xeGPQvD4b2OS)
xafqLlk3kkUe(xRXyHs5wBiFb, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xf6\xff<H\xf9'), chr(565 - 465) + '\145' + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b100110 + 0o77))(chr(10667 - 10550) + chr(0b1000110 + 0o56) + '\x66' + '\x2d' + '\x38'))(ETaRpCvQ5ehg)
xafqLlk3kkUe(QGiQ5qJL9aHZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xf6\xff<H\xf9'), chr(0b1100100) + chr(3366 - 3265) + '\x63' + '\x6f' + chr(0b1011000 + 0o14) + '\x65')('\165' + chr(0b1110100) + '\x66' + chr(0b11100 + 0o21) + '\070'))(T7PXcIi5InTJ)
return (YwTxVlXs3fGQ, xRXyHs5wBiFb, QGiQ5qJL9aHZ)
|
tensorflow/tensor2tensor
|
tensor2tensor/visualization/visualization.py
|
AttentionVisualizer.encode
|
def encode(self, input_str):
"""Input str to features dict, ready for inference."""
inputs = self.encoders["inputs"].encode(input_str) + [EOS_ID]
batch_inputs = np.reshape(inputs, [1, -1, 1, 1]) # Make it 3D.
return batch_inputs
|
python
|
def encode(self, input_str):
"""Input str to features dict, ready for inference."""
inputs = self.encoders["inputs"].encode(input_str) + [EOS_ID]
batch_inputs = np.reshape(inputs, [1, -1, 1, 1]) # Make it 3D.
return batch_inputs
|
[
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"encode",
"(",
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",",
"input_str",
")",
":",
"inputs",
"=",
"self",
".",
"encoders",
"[",
"\"inputs\"",
"]",
".",
"encode",
"(",
"input_str",
")",
"+",
"[",
"EOS_ID",
"]",
"batch_inputs",
"=",
"np",
".",
"reshape",
"(",
"inputs",
",",
"[",
"1",
",",
"-",
"1",
",",
"1",
",",
"1",
"]",
")",
"# Make it 3D.",
"return",
"batch_inputs"
] |
Input str to features dict, ready for inference.
|
[
"Input",
"str",
"to",
"features",
"dict",
"ready",
"for",
"inference",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/visualization/visualization.py#L52-L56
|
train
|
Input str to features dict ready for inference.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1001111 + 0o40) + chr(262 - 211) + chr(1483 - 1432) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + chr(0b110010 + 0o0) + chr(2204 - 2156) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\x33' + chr(199 - 149), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110110) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10001 + 0o136) + '\x36' + chr(0b110011), 23637 - 23629), ehT0Px3KOsy9(chr(48) + chr(10873 - 10762) + chr(0b110011) + chr(72 - 21) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + '\x34' + chr(2344 - 2293), 58257 - 58249), ehT0Px3KOsy9(chr(0b110000) + chr(8972 - 8861) + '\063' + chr(50) + '\x32', 57323 - 57315), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(177 - 123) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x35' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\x31' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1053 - 1005) + chr(10922 - 10811) + chr(0b110001) + chr(0b11001 + 0o32) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(681 - 630) + '\x34' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + '\x33' + '\x34' + chr(0b110111), 10 - 2), ehT0Px3KOsy9('\060' + '\157' + chr(0b110101) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(6948 - 6837) + chr(0b110001) + chr(2382 - 2332) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001 + 0o1) + chr(0b110011) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(1658 - 1607), 23257 - 23249), ehT0Px3KOsy9(chr(904 - 856) + chr(0b1101111) + chr(801 - 749) + chr(721 - 666), 32873 - 32865), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(550 - 501) + chr(2272 - 2222) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\063' + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1402 - 1353) + '\x30' + chr(0b110111), 24548 - 24540), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + '\061' + chr(1214 - 1162) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(0b110010) + chr(2417 - 2363) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(1534 - 1484) + chr(53) + chr(50), 50720 - 50712), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(0b11100 + 0o25) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2570 - 2519) + chr(0b110111) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(0b110010) + chr(0b11000 + 0o36) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(2322 - 2271) + chr(1731 - 1678) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b10010 + 0o41) + chr(0b110011), 33855 - 33847), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + chr(49) + chr(600 - 552) + chr(0b110111), 8), ehT0Px3KOsy9('\060' + chr(10323 - 10212) + '\061' + chr(53) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + '\x37' + chr(0b11111 + 0o23), 0o10), ehT0Px3KOsy9(chr(1189 - 1141) + chr(4905 - 4794) + chr(0b110010) + chr(0b101100 + 0o11) + chr(1693 - 1641), 27639 - 27631), ehT0Px3KOsy9(chr(439 - 391) + chr(0b1101111) + chr(0b101011 + 0o7) + chr(0b100111 + 0o12) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\x35' + chr(0b11111 + 0o24), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(53) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + chr(0b110010) + '\060' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(50) + chr(48) + chr(54), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1620 - 1572) + chr(111) + chr(0b10000 + 0o45) + chr(769 - 721), 22972 - 22964)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3'), chr(0b1100100) + chr(1220 - 1119) + chr(727 - 628) + '\x6f' + chr(100) + chr(0b111011 + 0o52))(chr(10793 - 10676) + chr(116) + chr(6672 - 6570) + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WZINe7poqZfF(oVre8I6UXc3b, L3e68qnO6DC9):
vXoupepMtCXU = oVre8I6UXc3b.encoders[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\xec\xea}C@'), '\x64' + chr(101) + chr(0b1100011) + chr(111) + chr(100) + '\x65')(chr(117) + chr(116) + chr(0b1100110) + chr(45) + chr(0b111000 + 0o0))].encode(L3e68qnO6DC9) + [AcdgioUvW3hs]
eODVD1XFDCfc = WqUC3KWvYVup.reshape(vXoupepMtCXU, [ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(6308 - 6197) + chr(0b10111 + 0o32), 48464 - 48456), -ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(49), 8), ehT0Px3KOsy9(chr(223 - 175) + chr(0b11101 + 0o122) + chr(0b110001), 8)])
return eODVD1XFDCfc
|
tensorflow/tensor2tensor
|
tensor2tensor/visualization/visualization.py
|
AttentionVisualizer.decode
|
def decode(self, integers):
"""List of ints to str."""
integers = list(np.squeeze(integers))
return self.encoders["inputs"].decode(integers)
|
python
|
def decode(self, integers):
"""List of ints to str."""
integers = list(np.squeeze(integers))
return self.encoders["inputs"].decode(integers)
|
[
"def",
"decode",
"(",
"self",
",",
"integers",
")",
":",
"integers",
"=",
"list",
"(",
"np",
".",
"squeeze",
"(",
"integers",
")",
")",
"return",
"self",
".",
"encoders",
"[",
"\"inputs\"",
"]",
".",
"decode",
"(",
"integers",
")"
] |
List of ints to str.
|
[
"List",
"of",
"ints",
"to",
"str",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/visualization/visualization.py#L58-L61
|
train
|
Decode a list of ints to str.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101000 + 0o11) + chr(0b11110 + 0o27) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b110000) + chr(0b1111 + 0o42), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(1969 - 1914) + chr(52), 53932 - 53924), ehT0Px3KOsy9(chr(1592 - 1544) + '\x6f' + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(2821 - 2766) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\x31' + '\062', 9923 - 9915), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1746 - 1691) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1110 + 0o43) + chr(53) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(0b110010) + chr(0b110011), 13652 - 13644), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(0b101010 + 0o14) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\063', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b100000 + 0o23) + chr(0b11010 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b10 + 0o60) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10111 + 0o130) + '\063' + '\x31' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(52) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(626 - 515) + chr(0b11110 + 0o23) + chr(51) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + '\x36' + chr(0b100010 + 0o16), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b101 + 0o55) + chr(146 - 92), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\x35' + chr(53), 55414 - 55406), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(51) + '\x36', 8), ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + chr(0b110111) + chr(2335 - 2280), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010001 + 0o36) + chr(0b100000 + 0o22) + chr(0b110001), 58470 - 58462), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\067' + chr(0b110000), 38024 - 38016), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1100 + 0o47) + chr(0b110101) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(3237 - 3126) + '\x32' + '\063' + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b11101 + 0o32) + chr(1567 - 1512), 28311 - 28303), ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + chr(0b110001) + '\064', 0o10), ehT0Px3KOsy9(chr(687 - 639) + '\x6f' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(54) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11011 - 10900) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110000 + 0o5), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1401 - 1352) + chr(0b110110) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(326 - 278) + '\157' + chr(2183 - 2134) + chr(2394 - 2343) + chr(0b1010 + 0o50), 0b1000), ehT0Px3KOsy9('\x30' + chr(4202 - 4091) + chr(0b11001 + 0o31) + chr(0b110101) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\x31' + '\061' + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b110000 + 0o1) + '\x32', 10177 - 10169), ehT0Px3KOsy9('\060' + '\x6f' + chr(1838 - 1784) + chr(0b11100 + 0o25), 0o10), ehT0Px3KOsy9(chr(1109 - 1061) + '\157' + chr(51) + '\066' + '\x31', 63474 - 63466), ehT0Px3KOsy9(chr(1470 - 1422) + '\x6f' + chr(0b110011) + chr(48) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1100100 + 0o13) + '\x33' + '\061' + '\x31', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(429 - 376) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'B'), chr(0b1100100) + '\145' + chr(99) + '\x6f' + '\x64' + '\145')('\x75' + chr(0b10000 + 0o144) + chr(9553 - 9451) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RSziqSuj39r9(oVre8I6UXc3b, WQGIgTBP0loJ):
WQGIgTBP0loJ = YyaZ4tpXu4lf(WqUC3KWvYVup.squeeze(WQGIgTBP0loJ))
return xafqLlk3kkUe(oVre8I6UXc3b.encoders[xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xef\x8ct\x0f9'), '\x64' + chr(0b101101 + 0o70) + chr(99) + '\157' + chr(0b110 + 0o136) + '\x65')(chr(6713 - 6596) + '\164' + chr(0b1100110) + chr(0b1001 + 0o44) + chr(2390 - 2334))], '\x64' + chr(101) + '\x63' + chr(0b1011010 + 0o25) + '\x64' + chr(0b1100101))(WQGIgTBP0loJ)
|
tensorflow/tensor2tensor
|
tensor2tensor/visualization/visualization.py
|
AttentionVisualizer.decode_list
|
def decode_list(self, integers):
"""List of ints to list of str."""
integers = list(np.squeeze(integers))
return self.encoders["inputs"].decode_list(integers)
|
python
|
def decode_list(self, integers):
"""List of ints to list of str."""
integers = list(np.squeeze(integers))
return self.encoders["inputs"].decode_list(integers)
|
[
"def",
"decode_list",
"(",
"self",
",",
"integers",
")",
":",
"integers",
"=",
"list",
"(",
"np",
".",
"squeeze",
"(",
"integers",
")",
")",
"return",
"self",
".",
"encoders",
"[",
"\"inputs\"",
"]",
".",
"decode_list",
"(",
"integers",
")"
] |
List of ints to list of str.
|
[
"List",
"of",
"ints",
"to",
"list",
"of",
"str",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/visualization/visualization.py#L63-L66
|
train
|
List of ints to list of str.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1594 - 1546) + chr(0b1111 + 0o140) + chr(961 - 912) + chr(51) + chr(0b110101 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110001) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1394 - 1346) + '\157' + '\x33' + chr(0b110001) + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + chr(4111 - 4000) + '\063' + '\066' + chr(1128 - 1080), ord("\x08")), ehT0Px3KOsy9(chr(1635 - 1587) + '\157' + chr(0b100101 + 0o14) + chr(54) + chr(1338 - 1290), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\x36' + chr(0b100100 + 0o20), 0o10), ehT0Px3KOsy9(chr(854 - 806) + chr(11508 - 11397) + chr(0b110011) + '\x34' + chr(0b110111), 53386 - 53378), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b110010) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11 + 0o56) + chr(1676 - 1627) + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(2107 - 2057) + chr(0b110100), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\065' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(68 - 13) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001 + 0o146) + chr(2270 - 2221) + '\062' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(694 - 645) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001101 + 0o42) + chr(612 - 562) + chr(0b110010) + '\x34', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b11101 + 0o31) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(0b110011) + '\060' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + chr(50) + chr(52) + chr(2053 - 1999), 58052 - 58044), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(791 - 740) + chr(0b110110) + chr(0b11001 + 0o31), 63563 - 63555), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(2798 - 2743) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100110 + 0o13) + chr(0b11 + 0o63) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + chr(0b11110 + 0o25) + chr(0b110001) + chr(592 - 541), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9298 - 9187) + chr(1867 - 1812) + chr(0b10000 + 0o40), 47249 - 47241), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(0b110011) + chr(1069 - 1021) + chr(52), 0b1000), ehT0Px3KOsy9(chr(771 - 723) + chr(0b1101111) + chr(599 - 549) + chr(48) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1971 - 1923) + chr(2314 - 2203) + chr(0b101000 + 0o13) + chr(2509 - 2456) + chr(0b110011), 38379 - 38371), ehT0Px3KOsy9('\x30' + chr(0b1101011 + 0o4) + '\x33' + chr(0b101 + 0o62) + '\062', 15242 - 15234), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\060' + chr(0b11100 + 0o31), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(0b110010) + chr(0b1110 + 0o50) + chr(2346 - 2293), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11576 - 11465) + chr(49) + chr(0b110110) + chr(54), 8), ehT0Px3KOsy9('\060' + chr(4900 - 4789) + chr(0b10011 + 0o36) + chr(0b11000 + 0o37) + '\063', 61508 - 61500), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(1994 - 1939) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(369 - 316) + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1040 - 990) + chr(0b1101 + 0o47) + chr(0b110100 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + chr(1552 - 1502) + chr(51) + chr(0b110100 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7582 - 7471) + '\x33' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + chr(1401 - 1352) + chr(0b110011) + chr(52), 24660 - 24652), ehT0Px3KOsy9(chr(0b110000) + chr(5504 - 5393) + chr(0b110010) + '\x30' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6067 - 5956) + chr(0b1 + 0o61) + '\x31' + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(6856 - 6745) + chr(0b1 + 0o64) + '\x30', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110101) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'p'), chr(0b111101 + 0o47) + chr(8507 - 8406) + chr(99) + chr(0b1101111) + chr(9006 - 8906) + '\x65')('\165' + '\164' + chr(0b111111 + 0o47) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def be8xO0UJPt4e(oVre8I6UXc3b, WQGIgTBP0loJ):
WQGIgTBP0loJ = YyaZ4tpXu4lf(WqUC3KWvYVup.squeeze(WQGIgTBP0loJ))
return xafqLlk3kkUe(oVre8I6UXc3b.encoders[xafqLlk3kkUe(SXOLrMavuUCe(b'7\xa1\xbf\x85\x04\x87'), chr(5655 - 5555) + chr(5046 - 4945) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(1514 - 1413))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\x2d' + chr(56))], xafqLlk3kkUe(SXOLrMavuUCe(b":\xaa\xac\x9f\x14\x91\xb8\xf8'\xe7\xd9"), chr(5662 - 5562) + '\145' + '\143' + chr(12238 - 12127) + '\144' + '\145')(chr(0b1110 + 0o147) + chr(9186 - 9070) + chr(0b10010 + 0o124) + chr(0b11001 + 0o24) + '\x38'))(WQGIgTBP0loJ)
|
tensorflow/tensor2tensor
|
tensor2tensor/visualization/visualization.py
|
AttentionVisualizer.get_vis_data_from_string
|
def get_vis_data_from_string(self, sess, input_string):
"""Constructs the data needed for visualizing attentions.
Args:
sess: A tf.Session object.
input_string: The input sentence to be translated and visualized.
Returns:
Tuple of (
output_string: The translated sentence.
input_list: Tokenized input sentence.
output_list: Tokenized translation.
att_mats: Tuple of attention matrices; (
enc_atts: Encoder self attention weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, inp_len, inp_len)
dec_atts: Decoder self attention weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, out_len, out_len)
encdec_atts: Encoder-Decoder attention weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, out_len, inp_len)
)
"""
encoded_inputs = self.encode(input_string)
# Run inference graph to get the translation.
out = sess.run(self.samples, {
self.inputs: encoded_inputs,
})
# Run the decoded translation through the training graph to get the
# attention tensors.
att_mats = sess.run(self.att_mats, {
self.inputs: encoded_inputs,
self.targets: np.reshape(out, [1, -1, 1, 1]),
})
output_string = self.decode(out)
input_list = self.decode_list(encoded_inputs)
output_list = self.decode_list(out)
return output_string, input_list, output_list, att_mats
|
python
|
def get_vis_data_from_string(self, sess, input_string):
"""Constructs the data needed for visualizing attentions.
Args:
sess: A tf.Session object.
input_string: The input sentence to be translated and visualized.
Returns:
Tuple of (
output_string: The translated sentence.
input_list: Tokenized input sentence.
output_list: Tokenized translation.
att_mats: Tuple of attention matrices; (
enc_atts: Encoder self attention weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, inp_len, inp_len)
dec_atts: Decoder self attention weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, out_len, out_len)
encdec_atts: Encoder-Decoder attention weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, out_len, inp_len)
)
"""
encoded_inputs = self.encode(input_string)
# Run inference graph to get the translation.
out = sess.run(self.samples, {
self.inputs: encoded_inputs,
})
# Run the decoded translation through the training graph to get the
# attention tensors.
att_mats = sess.run(self.att_mats, {
self.inputs: encoded_inputs,
self.targets: np.reshape(out, [1, -1, 1, 1]),
})
output_string = self.decode(out)
input_list = self.decode_list(encoded_inputs)
output_list = self.decode_list(out)
return output_string, input_list, output_list, att_mats
|
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] |
Constructs the data needed for visualizing attentions.
Args:
sess: A tf.Session object.
input_string: The input sentence to be translated and visualized.
Returns:
Tuple of (
output_string: The translated sentence.
input_list: Tokenized input sentence.
output_list: Tokenized translation.
att_mats: Tuple of attention matrices; (
enc_atts: Encoder self attention weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, inp_len, inp_len)
dec_atts: Decoder self attention weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, out_len, out_len)
encdec_atts: Encoder-Decoder attention weights.
A list of `num_layers` numpy arrays of size
(batch_size, num_heads, out_len, inp_len)
)
|
[
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"for",
"visualizing",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/visualization/visualization.py#L68-L110
|
train
|
Constructs the data needed for visualizing attentions.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + '\063' + chr(0b110110) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(11431 - 11320) + '\062' + chr(0b11011 + 0o31) + '\x33', 28588 - 28580), ehT0Px3KOsy9(chr(48) + chr(111) + '\067' + chr(51), 32376 - 32368), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(12158 - 12047) + chr(0b110010) + chr(0b110001) + chr(0b10000 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(11092 - 10981) + chr(50) + chr(0b101010 + 0o11) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(53) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\066' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\067' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + chr(49) + '\064' + chr(0b11 + 0o64), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2410 - 2299) + chr(0b110010) + chr(53) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(4248 - 4137) + chr(0b110000 + 0o2) + '\x31' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1724 - 1676) + chr(0b1101111) + chr(50) + '\061' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(982 - 934) + '\157' + chr(0b11011 + 0o30) + '\062' + chr(2567 - 2515), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10100 + 0o133) + '\061' + chr(2035 - 1984) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\062' + chr(1878 - 1830), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110 + 0o53) + chr(0b110011) + chr(320 - 269), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(55) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(436 - 388) + chr(111) + chr(51) + chr(54) + chr(796 - 742), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(2698 - 2587) + '\x32' + chr(54) + '\x37', 57222 - 57214), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\060' + chr(2262 - 2209), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000101 + 0o52) + chr(0b110011) + '\x32' + chr(0b10001 + 0o37), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b11101 + 0o122) + '\061' + chr(0b110100) + chr(0b1101 + 0o52), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1912 - 1862) + '\x31' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(0b110 + 0o54) + chr(52) + chr(0b111 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(903 - 854) + chr(58 - 9) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + chr(0b11101 + 0o25) + chr(1736 - 1686) + '\061', 27414 - 27406), ehT0Px3KOsy9('\x30' + chr(8702 - 8591) + chr(0b110010) + chr(0b110111) + '\x30', 8), ehT0Px3KOsy9(chr(1391 - 1343) + '\157' + chr(0b110011) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b11 + 0o61) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(5795 - 5684) + '\063' + chr(0b1000 + 0o56) + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(919 - 868) + '\x35', 39411 - 39403), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\062' + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b1001 + 0o53) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2317 - 2267) + '\061' + '\062', 8), ehT0Px3KOsy9(chr(1860 - 1812) + '\x6f' + chr(53) + chr(2624 - 2569), 0b1000), ehT0Px3KOsy9(chr(48) + chr(8770 - 8659) + chr(899 - 849) + chr(0b110010) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11 + 0o56) + chr(52) + chr(0b110000), 43925 - 43917), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b110110) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2374 - 2321) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(50) + '\062', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(53) + chr(1395 - 1347), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xde'), '\144' + '\x65' + '\143' + chr(10073 - 9962) + '\x64' + '\145')(chr(0b1001110 + 0o47) + chr(196 - 80) + chr(0b1100110 + 0o0) + chr(0b11001 + 0o24) + chr(76 - 20)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def cNCg83gK1_s7(oVre8I6UXc3b, HVWCHjSQ2I35, DH7io1rudAkV):
PEp6lmQpvsxP = oVre8I6UXc3b.encode(DH7io1rudAkV)
UkrMp_I0RDmo = HVWCHjSQ2I35.sgt5BU61bwZ2(oVre8I6UXc3b.samples, {oVre8I6UXc3b.vXoupepMtCXU: PEp6lmQpvsxP})
mFC4wfloFTId = HVWCHjSQ2I35.sgt5BU61bwZ2(oVre8I6UXc3b.att_mats, {oVre8I6UXc3b.vXoupepMtCXU: PEp6lmQpvsxP, oVre8I6UXc3b.targets: WqUC3KWvYVup.reshape(UkrMp_I0RDmo, [ehT0Px3KOsy9(chr(1065 - 1017) + chr(111) + '\x31', ord("\x08")), -ehT0Px3KOsy9(chr(48) + chr(1710 - 1599) + chr(0b1000 + 0o51), 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(0b11101 + 0o24), 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1001000 + 0o47) + chr(0b110001), 8)])})
jN60tjtvzrYM = oVre8I6UXc3b.decode(UkrMp_I0RDmo)
zNDuWsUOZeSr = oVre8I6UXc3b.decode_list(PEp6lmQpvsxP)
NgKT75vyg5ws = oVre8I6UXc3b.decode_list(UkrMp_I0RDmo)
return (jN60tjtvzrYM, zNDuWsUOZeSr, NgKT75vyg5ws, mFC4wfloFTId)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/glow.py
|
glow_hparams
|
def glow_hparams():
"""Glow Hparams."""
hparams = common_hparams.basic_params1()
hparams.clip_grad_norm = None
hparams.weight_decay = 0.0
hparams.learning_rate_constant = 3e-4
hparams.batch_size = 32
# can be prev_level, prev_step or normal.
# see: glow_ops.merge_level_and_latent_dist
hparams.add_hparam("level_scale", "prev_level")
hparams.add_hparam("n_levels", 3)
hparams.add_hparam("n_bits_x", 8)
hparams.add_hparam("depth", 32)
# Activation - Relu or Gatu
hparams.add_hparam("activation", "relu")
# Coupling layer, additive or affine.
hparams.add_hparam("coupling", "affine")
hparams.add_hparam("coupling_width", 512)
hparams.add_hparam("coupling_dropout", 0.0)
hparams.add_hparam("top_prior", "single_conv")
# init_batch_size denotes the number of examples used for data-dependent
# initialization. A higher init_batch_size is required for training
# stability especially when hparams.batch_size is low.
hparams.add_hparam("init_batch_size", 256)
hparams.add_hparam("temperature", 1.0)
return hparams
|
python
|
def glow_hparams():
"""Glow Hparams."""
hparams = common_hparams.basic_params1()
hparams.clip_grad_norm = None
hparams.weight_decay = 0.0
hparams.learning_rate_constant = 3e-4
hparams.batch_size = 32
# can be prev_level, prev_step or normal.
# see: glow_ops.merge_level_and_latent_dist
hparams.add_hparam("level_scale", "prev_level")
hparams.add_hparam("n_levels", 3)
hparams.add_hparam("n_bits_x", 8)
hparams.add_hparam("depth", 32)
# Activation - Relu or Gatu
hparams.add_hparam("activation", "relu")
# Coupling layer, additive or affine.
hparams.add_hparam("coupling", "affine")
hparams.add_hparam("coupling_width", 512)
hparams.add_hparam("coupling_dropout", 0.0)
hparams.add_hparam("top_prior", "single_conv")
# init_batch_size denotes the number of examples used for data-dependent
# initialization. A higher init_batch_size is required for training
# stability especially when hparams.batch_size is low.
hparams.add_hparam("init_batch_size", 256)
hparams.add_hparam("temperature", 1.0)
return hparams
|
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] |
Glow Hparams.
|
[
"Glow",
"Hparams",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/glow.py#L39-L65
|
train
|
Glow Hparams.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\063' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(1427 - 1377) + chr(54), 39573 - 39565), ehT0Px3KOsy9(chr(0b110000) + chr(3131 - 3020) + chr(1579 - 1530) + chr(0b1011 + 0o47) + chr(0b101101 + 0o7), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4964 - 4853) + '\062' + chr(52) + chr(51), 40511 - 40503), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(8221 - 8110) + chr(0b110001) + chr(1645 - 1592) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011 + 0o0) + chr(797 - 745) + chr(943 - 891), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(48) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\062' + chr(0b10101 + 0o34) + chr(54), 0b1000), ehT0Px3KOsy9(chr(2146 - 2098) + '\x6f' + chr(0b11101 + 0o26) + '\067' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(367 - 319) + '\x6f' + chr(51) + chr(0b110000) + chr(0b100111 + 0o16), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2298 - 2247) + '\x31' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(0b110001), 15093 - 15085), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100100 + 0o17) + chr(0b101 + 0o53) + chr(725 - 675), 18857 - 18849), ehT0Px3KOsy9('\060' + chr(111) + chr(1772 - 1723) + chr(0b110010) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\063' + chr(0b110101), 41504 - 41496), ehT0Px3KOsy9('\x30' + chr(111) + chr(2494 - 2439) + chr(53), 48240 - 48232), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(50), 55221 - 55213), ehT0Px3KOsy9(chr(526 - 478) + chr(0b1101111) + chr(0b110011) + '\x36' + chr(1707 - 1652), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1264 - 1153) + '\x31' + '\066' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1001 + 0o52) + chr(0b1100 + 0o44) + chr(0b110101), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(51) + chr(0b110101 + 0o2), 0o10), ehT0Px3KOsy9('\x30' + chr(4360 - 4249) + chr(0b101000 + 0o17) + chr(0b10 + 0o64), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\066' + chr(1363 - 1313), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(53) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(793 - 682) + chr(0b1001 + 0o51) + chr(0b110001) + chr(0b1011 + 0o47), 0o10), ehT0Px3KOsy9(chr(1739 - 1691) + '\x6f' + '\062' + chr(0b10010 + 0o44) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(837 - 789) + '\157' + chr(51) + chr(48) + chr(0b1000 + 0o55), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110101) + chr(0b100011 + 0o23), 0b1000), ehT0Px3KOsy9(chr(1726 - 1678) + chr(2086 - 1975) + chr(0b110010) + '\x36' + chr(55), 60625 - 60617), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(0b100000 + 0o21) + '\064', 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\157' + chr(0b110001) + chr(49) + chr(49), 34177 - 34169), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b11 + 0o57) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(294 - 242) + chr(0b10010 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\061', 8), ehT0Px3KOsy9(chr(2074 - 2026) + chr(2150 - 2039) + chr(954 - 905) + chr(0b10111 + 0o34) + chr(0b1100 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + '\061' + chr(51) + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(1336 - 1225) + chr(50) + '\063' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101000 + 0o7) + chr(0b110010) + chr(49) + chr(50), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(103 - 55) + chr(0b1101111) + chr(53) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7'), chr(5725 - 5625) + chr(0b1100101) + '\x63' + chr(0b1000111 + 0o50) + chr(0b1100100) + chr(0b1100101))(chr(10319 - 10202) + '\164' + chr(0b1100110) + chr(45) + chr(0b10001 + 0o47)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mRjdlcO3eZvh():
n4ljua2gi1Pr = vLnG3ZpOXWXZ.basic_params1()
n4ljua2gi1Pr.SdNSZNVkVjLh = None
n4ljua2gi1Pr.eB4rJl6fUxw9 = 0.0
n4ljua2gi1Pr.Ot9HUjnkxXA_ = 0.0003
n4ljua2gi1Pr.ix9dZyeAmUxY = ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(52) + '\060', 37778 - 37770)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb820\xfc\x04\x94&\xfc\x99\xa8'), chr(100) + chr(0b1001111 + 0o26) + chr(0b1000 + 0o133) + chr(7017 - 6906) + chr(0b1000101 + 0o37) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(102) + '\055' + chr(708 - 652)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb53"\xc6\x00\xbb4\xed\x99\xa9\xac'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(111) + chr(100) + chr(0b1100101))('\165' + '\164' + chr(102) + chr(2024 - 1979) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9$1\xd53\x88"\xf8\x9d\xa9'), chr(4420 - 4320) + chr(3384 - 3283) + '\x63' + chr(111) + '\144' + chr(4536 - 4435))(chr(0b1110101) + chr(116) + '\146' + '\055' + '\x38'))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb820\xfc\x04\x94&\xfc\x99\xa8'), '\x64' + '\145' + chr(0b1000100 + 0o37) + chr(0b1101110 + 0o1) + chr(0b1100100) + '\145')('\165' + chr(116) + chr(102) + '\x2d' + chr(0b10 + 0o66)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\t8\xc6\x1a\x81+\xfd'), chr(974 - 874) + chr(7853 - 7752) + chr(6345 - 6246) + '\157' + '\144' + chr(9676 - 9575))(chr(117) + chr(0b1101 + 0o147) + chr(0b1100110) + chr(0b101101 + 0o0) + chr(1720 - 1664)), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1466 - 1415), 0b1000))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb820\xfc\x04\x94&\xfc\x99\xa8'), chr(0b1000100 + 0o40) + chr(101) + chr(99) + '\x6f' + chr(100) + chr(0b100001 + 0o104))(chr(4228 - 4111) + chr(0b1110100) + chr(6353 - 6251) + chr(1150 - 1105) + chr(1021 - 965)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\t6\xca\x18\x97\x18\xf6'), chr(0b1001010 + 0o32) + chr(101) + chr(7237 - 7138) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b1000000 + 0o65) + '\164' + chr(0b101010 + 0o74) + '\x2d' + chr(1778 - 1722)), ehT0Px3KOsy9(chr(1812 - 1764) + chr(0b1110 + 0o141) + '\061' + chr(48), 0o10))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb820\xfc\x04\x94&\xfc\x99\xa8'), chr(0b1 + 0o143) + chr(101) + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(102) + '\055' + chr(2929 - 2873)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd3$\xd7\x04'), chr(100) + '\x65' + '\143' + '\157' + '\x64' + chr(0b1100101))(chr(0b1110001 + 0o4) + chr(116) + chr(0b11110 + 0o110) + chr(1020 - 975) + '\x38'), ehT0Px3KOsy9(chr(0b110000) + chr(4666 - 4555) + chr(52) + chr(48), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb820\xfc\x04\x94&\xfc\x99\xa8'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(111) + '\x64' + chr(3268 - 3167))(chr(11285 - 11168) + '\164' + chr(102) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb85 \xca\x1a\x853\xe7\x97\xab'), chr(0b111100 + 0o50) + chr(0b1100101) + chr(99) + chr(111) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1100100 + 0o20) + '\x66' + chr(1159 - 1114) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xab38\xd6'), '\144' + chr(0b100001 + 0o104) + chr(0b11000 + 0o113) + chr(111) + chr(0b1100100) + chr(0b1010001 + 0o24))(chr(117) + '\164' + '\146' + '\055' + chr(56)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb820\xfc\x04\x94&\xfc\x99\xa8'), chr(0b1011 + 0o131) + '\x65' + chr(4296 - 4197) + chr(0b1101100 + 0o3) + '\144' + chr(5877 - 5776))(chr(117) + chr(1207 - 1091) + chr(102) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xba9!\xd3\x00\x8d)\xe9'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b101101 + 0o110) + chr(8241 - 8125) + chr(6647 - 6545) + chr(0b101101) + chr(0b101111 + 0o11)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb802\xca\x02\x81'), chr(100) + chr(2416 - 2315) + chr(8856 - 8757) + chr(111) + chr(100) + '\145')(chr(117) + chr(0b110010 + 0o102) + chr(102) + chr(0b10111 + 0o26) + chr(56)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb820\xfc\x04\x94&\xfc\x99\xa8'), chr(100) + '\x65' + '\x63' + chr(111) + chr(9740 - 9640) + chr(0b1100101))('\165' + chr(2179 - 2063) + '\146' + '\x2d' + chr(0b110011 + 0o5)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xba9!\xd3\x00\x8d)\xe9\xa7\xb2\xa0e\xb69'), chr(100) + '\145' + '\x63' + '\157' + chr(0b100000 + 0o104) + '\145')('\165' + '\x74' + chr(0b110100 + 0o62) + '\x2d' + chr(56)), ehT0Px3KOsy9('\060' + chr(8662 - 8551) + chr(49) + chr(0b11011 + 0o25) + chr(48) + chr(0b110000), ord("\x08")))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb820\xfc\x04\x94&\xfc\x99\xa8'), chr(0b1100100) + '\x65' + chr(0b110 + 0o135) + chr(5257 - 5146) + chr(9882 - 9782) + '\x65')(chr(117) + chr(116) + chr(102) + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xba9!\xd3\x00\x8d)\xe9\xa7\xa1\xbbn\xb2>c\xa9'), chr(100) + chr(0b1100011 + 0o2) + chr(0b1100011) + chr(0b101010 + 0o105) + '\144' + chr(0b1001100 + 0o31))(chr(0b1110101) + '\164' + chr(102) + '\x2d' + '\070'), 0.0)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb820\xfc\x04\x94&\xfc\x99\xa8'), chr(0b1100100) + chr(0b11101 + 0o110) + chr(99) + chr(5214 - 5103) + chr(0b1100100) + chr(101))('\165' + '\164' + chr(102) + chr(0b100011 + 0o12) + chr(1263 - 1207)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xad9$\xfc\x1c\x96.\xe1\x8a'), '\144' + chr(101) + '\143' + '\x6f' + '\x64' + '\x65')('\165' + '\164' + chr(8633 - 8531) + chr(0b11001 + 0o24) + chr(2513 - 2457)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa?:\xc4\x00\x81\x18\xed\x97\xab\xbf'), chr(4343 - 4243) + chr(0b1100101) + chr(0b101110 + 0o65) + chr(2403 - 2292) + chr(7094 - 6994) + '\145')('\x75' + chr(0b1110100) + chr(102) + chr(45) + chr(323 - 267)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb820\xfc\x04\x94&\xfc\x99\xa8'), chr(100) + '\145' + chr(4512 - 4413) + '\x6f' + chr(8922 - 8822) + chr(0b1100101))('\x75' + chr(0b1011111 + 0o25) + chr(0b1100110) + chr(1737 - 1692) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb08=\xd73\x86&\xfa\x9b\xad\x96r\xab+s'), '\x64' + '\145' + '\143' + chr(0b1011000 + 0o27) + chr(0b1100100) + chr(101))(chr(0b1010 + 0o153) + '\164' + '\146' + '\x2d' + chr(649 - 593)), ehT0Px3KOsy9('\x30' + chr(111) + '\064' + chr(0b110000) + chr(0b110000), ord("\x08")))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb820\xfc\x04\x94&\xfc\x99\xa8'), chr(0b1100100) + chr(101) + '\x63' + chr(111) + '\144' + chr(101))(chr(117) + '\x74' + chr(0b1010 + 0o134) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xad39\xd3\t\x96&\xfa\x8d\xb7\xac'), chr(0b1011110 + 0o6) + '\x65' + chr(0b1100011) + chr(2634 - 2523) + '\x64' + chr(0b1100101))(chr(2101 - 1984) + chr(116) + chr(0b100001 + 0o105) + '\x2d' + '\070'), 1.0)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_aux.py
|
shift_and_pad
|
def shift_and_pad(tensor, shift, axis=0):
"""Shifts and pads with zero along an axis.
Example:
shift_and_pad([1, 2, 3, 4], 2) --> [0, 0, 1, 2]
shift_and_pad([1, 2, 3, 4], -2) --> [3, 4, 0, 0]
Args:
tensor: Tensor; to be shifted and padded.
shift: int; number of positions to shift by.
axis: int; along which axis to shift and pad.
Returns:
A Tensor with the same shape as the input tensor.
"""
shape = tensor.shape
rank = len(shape)
assert 0 <= abs(axis) < rank
length = int(shape[axis])
assert 0 <= abs(shift) < length
paddings = [(0, 0)] * rank
begin = [0] * rank
size = [-1] * rank
if shift > 0:
paddings[axis] = (shift, 0)
size[axis] = length - shift
elif shift < 0:
paddings[axis] = (0, -shift)
begin[axis] = -shift
ret = tf.pad(tf.slice(tensor, begin, size), paddings)
return ret
|
python
|
def shift_and_pad(tensor, shift, axis=0):
"""Shifts and pads with zero along an axis.
Example:
shift_and_pad([1, 2, 3, 4], 2) --> [0, 0, 1, 2]
shift_and_pad([1, 2, 3, 4], -2) --> [3, 4, 0, 0]
Args:
tensor: Tensor; to be shifted and padded.
shift: int; number of positions to shift by.
axis: int; along which axis to shift and pad.
Returns:
A Tensor with the same shape as the input tensor.
"""
shape = tensor.shape
rank = len(shape)
assert 0 <= abs(axis) < rank
length = int(shape[axis])
assert 0 <= abs(shift) < length
paddings = [(0, 0)] * rank
begin = [0] * rank
size = [-1] * rank
if shift > 0:
paddings[axis] = (shift, 0)
size[axis] = length - shift
elif shift < 0:
paddings[axis] = (0, -shift)
begin[axis] = -shift
ret = tf.pad(tf.slice(tensor, begin, size), paddings)
return ret
|
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] |
Shifts and pads with zero along an axis.
Example:
shift_and_pad([1, 2, 3, 4], 2) --> [0, 0, 1, 2]
shift_and_pad([1, 2, 3, 4], -2) --> [3, 4, 0, 0]
Args:
tensor: Tensor; to be shifted and padded.
shift: int; number of positions to shift by.
axis: int; along which axis to shift and pad.
Returns:
A Tensor with the same shape as the input tensor.
|
[
"Shifts",
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_aux.py#L29-L64
|
train
|
Shifts and pads with zero along an axis.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(5530 - 5419) + chr(2184 - 2133) + '\x34' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(939 - 891) + chr(111) + chr(49) + chr(797 - 745) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(49) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10100 + 0o133) + chr(0b10010 + 0o41) + '\067' + '\063', 23210 - 23202), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\062' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1011111 + 0o20) + chr(0b110011) + chr(0b111 + 0o56) + chr(0b110110), 8329 - 8321), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\066' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1672 - 1624) + chr(111) + '\063' + chr(0b100100 + 0o21) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(50) + '\066' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5820 - 5709) + '\061' + chr(0b110 + 0o60) + chr(0b100110 + 0o14), 0o10), ehT0Px3KOsy9(chr(1113 - 1065) + chr(111) + '\x33' + '\x31' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + '\062' + chr(0b11111 + 0o24) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b11101 + 0o24) + '\067' + chr(0b10101 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b0 + 0o63) + chr(0b1000 + 0o51) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110111) + chr(0b101100 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1100010 + 0o15) + chr(0b1110 + 0o44) + chr(66 - 18) + '\067', 10994 - 10986), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\x30' + chr(0b101101 + 0o12), 0o10), ehT0Px3KOsy9(chr(1824 - 1776) + '\x6f' + '\061' + chr(780 - 731) + chr(2075 - 2021), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(9534 - 9423) + chr(1083 - 1033) + chr(0b11010 + 0o35) + chr(0b110010 + 0o4), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1594 - 1545) + chr(0b10001 + 0o45) + chr(50), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(500 - 450) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\067' + '\064', 45984 - 45976), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1 + 0o61) + chr(1671 - 1620) + chr(0b11111 + 0o24), 47031 - 47023), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(50) + '\067' + chr(1652 - 1602), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(1965 - 1914) + '\063', 8), ehT0Px3KOsy9(chr(48) + chr(0b101101 + 0o102) + '\x31' + chr(798 - 746) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11001 + 0o126) + chr(0b110011) + chr(0b110101 + 0o1) + chr(0b11001 + 0o31), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b11111 + 0o30), 0b1000), ehT0Px3KOsy9(chr(87 - 39) + '\157' + chr(49) + chr(1259 - 1210) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1100100 + 0o13) + '\x33' + chr(0b110111) + chr(48), 38720 - 38712), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\x33' + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b110011) + chr(1068 - 1018), 0b1000), ehT0Px3KOsy9(chr(1263 - 1215) + chr(0b1101111) + chr(0b110011) + chr(0b10110 + 0o34) + chr(0b110010 + 0o0), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(281 - 230) + chr(0b100010 + 0o17) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(732 - 681) + '\064' + chr(0b101110 + 0o6), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10119 - 10008) + '\063' + chr(2189 - 2137) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(54) + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1088 - 1037) + chr(0b10 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + '\x33' + chr(2446 - 2394) + '\x33', 0o10), ehT0Px3KOsy9(chr(202 - 154) + '\x6f' + '\x32' + chr(48) + chr(405 - 357), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(53) + chr(1637 - 1589), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf'), chr(100) + chr(101) + chr(0b0 + 0o143) + '\x6f' + chr(9587 - 9487) + chr(101))(chr(8184 - 8067) + chr(116) + chr(102) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _anWAY38LWz_(LK3cpXJU3UM0, LnbELFj1hfyx, cRTh61qyvi24=ehT0Px3KOsy9('\x30' + chr(9122 - 9011) + chr(0b100001 + 0o17), ord("\x08"))):
nauYfLglTpcb = LK3cpXJU3UM0.nauYfLglTpcb
SIkZeGCA53HL = c2A0yzQpDQB3(nauYfLglTpcb)
assert ehT0Px3KOsy9('\x30' + '\157' + chr(1011 - 963), 8) <= Lt3jp3Wjtj_1(cRTh61qyvi24) < SIkZeGCA53HL
CHAOgk5VCHH_ = ehT0Px3KOsy9(nauYfLglTpcb[cRTh61qyvi24])
assert ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1338 - 1290), 8) <= Lt3jp3Wjtj_1(LnbELFj1hfyx) < CHAOgk5VCHH_
rWQRL0c0130o = [(ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + chr(48), 8), ehT0Px3KOsy9(chr(189 - 141) + chr(0b1101111) + chr(0b10010 + 0o36), 8))] * SIkZeGCA53HL
_UO0diKSmKME = [ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000), 8)] * SIkZeGCA53HL
NLcc3BCJnQka = [-ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + '\x31', ord("\x08"))] * SIkZeGCA53HL
if LnbELFj1hfyx > ehT0Px3KOsy9(chr(0b110000) + chr(2787 - 2676) + chr(48), 8):
rWQRL0c0130o[cRTh61qyvi24] = (LnbELFj1hfyx, ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x30', 8))
NLcc3BCJnQka[cRTh61qyvi24] = CHAOgk5VCHH_ - LnbELFj1hfyx
elif LnbELFj1hfyx < ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\060', 8):
rWQRL0c0130o[cRTh61qyvi24] = (ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b100101 + 0o112) + chr(0b110000), 8), -LnbELFj1hfyx)
_UO0diKSmKME[cRTh61qyvi24] = -LnbELFj1hfyx
VHn4CV4Ymrei = IDJ2eXGCBCDu.pad(IDJ2eXGCBCDu.slice(LK3cpXJU3UM0, _UO0diKSmKME, NLcc3BCJnQka), rWQRL0c0130o)
return VHn4CV4Ymrei
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_aux.py
|
transformer_aux_base
|
def transformer_aux_base():
"""Set of hyperparameters."""
hparams = transformer.transformer_base()
hparams.shared_embedding_and_softmax_weights = False
hparams.add_hparam("shift_values", "1,2,3,4")
return hparams
|
python
|
def transformer_aux_base():
"""Set of hyperparameters."""
hparams = transformer.transformer_base()
hparams.shared_embedding_and_softmax_weights = False
hparams.add_hparam("shift_values", "1,2,3,4")
return hparams
|
[
"def",
"transformer_aux_base",
"(",
")",
":",
"hparams",
"=",
"transformer",
".",
"transformer_base",
"(",
")",
"hparams",
".",
"shared_embedding_and_softmax_weights",
"=",
"False",
"hparams",
".",
"add_hparam",
"(",
"\"shift_values\"",
",",
"\"1,2,3,4\"",
")",
"return",
"hparams"
] |
Set of hyperparameters.
|
[
"Set",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_aux.py#L161-L166
|
train
|
Set of hyperparameters for 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(0b110000) + chr(0b1101111) + '\064' + chr(52), 41848 - 41840), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(871 - 816) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(162 - 107) + '\060', 8), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\x33' + chr(1229 - 1178), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(425 - 374) + chr(691 - 641) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(0b101100 + 0o5) + chr(1499 - 1445), ord("\x08")), ehT0Px3KOsy9(chr(2203 - 2155) + chr(0b100 + 0o153) + chr(0b1 + 0o60) + chr(331 - 277) + chr(1854 - 1801), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(6197 - 6086) + '\062' + chr(0b110101) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000011 + 0o54) + chr(0b110111) + chr(0b11000 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(55) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1719 - 1671) + chr(0b1101111) + '\x36' + chr(53), 19237 - 19229), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + '\063' + chr(228 - 180) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1450 - 1402) + '\157' + '\x31' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(667 - 613) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + '\063' + chr(0b100010 + 0o16) + chr(1801 - 1753), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1437 - 1386) + '\x37' + chr(51), 0o10), ehT0Px3KOsy9(chr(504 - 456) + chr(0b1101111) + chr(1912 - 1863) + chr(2321 - 2268) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8992 - 8881) + '\063' + chr(727 - 678) + chr(0b11 + 0o64), 27516 - 27508), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2052 - 2001) + chr(642 - 587) + '\x33', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(1776 - 1723) + chr(0b101011 + 0o7), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + '\x31' + '\067' + chr(0b10000 + 0o47), 27651 - 27643), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11000 + 0o36) + chr(0b1111 + 0o43), 44113 - 44105), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2030 - 1977) + chr(587 - 538), 65134 - 65126), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101100 + 0o11) + chr(1127 - 1072), 0b1000), ehT0Px3KOsy9(chr(2266 - 2218) + chr(0b111101 + 0o62) + '\x33' + chr(51) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(463 - 413) + chr(0b110011), 15780 - 15772), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101101 + 0o6) + chr(0b110110) + chr(1674 - 1623), 32532 - 32524), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1989 - 1939) + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101001 + 0o16) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1280 - 1169) + chr(49) + chr(2225 - 2174), 53826 - 53818), ehT0Px3KOsy9(chr(150 - 102) + chr(0b1101111) + chr(0b10000 + 0o41) + chr(0b10 + 0o61) + chr(55), 10773 - 10765), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\x32' + chr(50) + chr(438 - 387), 8), ehT0Px3KOsy9(chr(48) + chr(848 - 737) + chr(49) + '\067' + chr(0b11110 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10890 - 10779) + chr(0b10011 + 0o37) + chr(0b100111 + 0o20) + '\064', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110100) + chr(48), 2774 - 2766), ehT0Px3KOsy9(chr(1096 - 1048) + chr(0b1101111) + chr(0b10111 + 0o32) + chr(1086 - 1032), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11000 + 0o32) + chr(0b111 + 0o51) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(489 - 441) + chr(111) + '\067' + chr(0b10100 + 0o34), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\065' + chr(2363 - 2308), 43251 - 43243)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b110101) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\n'), chr(9498 - 9398) + chr(101) + chr(0b1100011) + chr(9601 - 9490) + chr(0b1000001 + 0o43) + chr(0b1100101))(chr(0b1110 + 0o147) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NhTAGmQCpp4D():
n4ljua2gi1Pr = Nk9m9eKr4iuF.transformer_base()
n4ljua2gi1Pr.qVamxim0L2I1 = ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(48), 0o10)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'E\x9c\x9c\x84\xbb~\x14\xd8_\x11'), chr(0b1011111 + 0o5) + chr(2375 - 2274) + '\x63' + chr(0b1101111) + chr(100) + chr(0b111011 + 0o52))(chr(8244 - 8127) + chr(0b100 + 0o160) + '\146' + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'W\x90\x91\xbd\xa7Q\x03\xcbR\tP\xb6'), chr(0b1100100) + '\x65' + chr(99) + chr(0b1101111) + chr(100) + chr(8810 - 8709))(chr(12169 - 12052) + chr(0b1110100) + chr(0b1000010 + 0o44) + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\xd4\xca\xf7\xe0"A'), chr(100) + chr(0b100111 + 0o76) + '\x63' + chr(11456 - 11345) + chr(0b1100100) + chr(10107 - 10006))('\x75' + '\164' + chr(0b10 + 0o144) + '\055' + '\x38'))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/research/transformer_aux.py
|
transformer_aux_tiny
|
def transformer_aux_tiny():
"""Set of hyperparameters."""
hparams = transformer.transformer_tiny()
hparams.shared_embedding_and_softmax_weights = False
hparams.add_hparam("shift_values", "1,2")
return hparams
|
python
|
def transformer_aux_tiny():
"""Set of hyperparameters."""
hparams = transformer.transformer_tiny()
hparams.shared_embedding_and_softmax_weights = False
hparams.add_hparam("shift_values", "1,2")
return hparams
|
[
"def",
"transformer_aux_tiny",
"(",
")",
":",
"hparams",
"=",
"transformer",
".",
"transformer_tiny",
"(",
")",
"hparams",
".",
"shared_embedding_and_softmax_weights",
"=",
"False",
"hparams",
".",
"add_hparam",
"(",
"\"shift_values\"",
",",
"\"1,2\"",
")",
"return",
"hparams"
] |
Set of hyperparameters.
|
[
"Set",
"of",
"hyperparameters",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/research/transformer_aux.py#L170-L175
|
train
|
Set of hyperparameters for transformer on tiny 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(0b1101111) + '\x33' + '\064' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(1127 - 1078) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000100 + 0o53) + chr(51) + chr(0b110110) + chr(0b1100 + 0o52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(483 - 432) + '\062' + chr(0b101111 + 0o4), 0o10), ehT0Px3KOsy9('\x30' + chr(828 - 717) + chr(0b10110 + 0o33) + '\065' + '\060', 0b1000), ehT0Px3KOsy9(chr(314 - 266) + chr(8563 - 8452) + chr(0b111 + 0o52) + '\063' + chr(1148 - 1099), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100101 + 0o15) + chr(0b10000 + 0o41) + chr(0b101111 + 0o3), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(2189 - 2136) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(2725 - 2670) + '\x31', 53722 - 53714), ehT0Px3KOsy9(chr(48) + chr(0b110110 + 0o71) + chr(0b110011) + '\x31' + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(6161 - 6050) + '\062' + '\063' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + chr(49) + chr(0b110011) + chr(0b110001), 8), ehT0Px3KOsy9(chr(91 - 43) + '\x6f' + chr(1422 - 1371) + chr(0b1110 + 0o46) + chr(66 - 14), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(8843 - 8732) + '\x32' + '\067' + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b110100) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + chr(1753 - 1703) + chr(0b110010 + 0o0) + chr(106 - 56), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\061' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10193 - 10082) + '\062' + '\x33' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10461 - 10350) + chr(1010 - 959) + '\x31' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b111101 + 0o62) + chr(0b1110 + 0o43) + chr(0b110100) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + '\x35' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\063' + chr(50) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + '\x32' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b110100) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + '\x33' + chr(1872 - 1824) + chr(0b110 + 0o57), 21240 - 21232), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(7759 - 7648) + chr(1281 - 1231) + chr(2221 - 2171) + '\x33', 58128 - 58120), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(51) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(10681 - 10570) + '\x33' + chr(1185 - 1133) + chr(0b110001), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(0b11001 + 0o31) + '\x36' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101111 + 0o4) + '\060' + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100011 + 0o16) + chr(0b110001) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(701 - 653) + chr(0b1000101 + 0o52) + '\x31' + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\x37' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b100000 + 0o117) + '\x31' + '\x32' + chr(78 - 24), 30845 - 30837), ehT0Px3KOsy9(chr(2281 - 2233) + chr(0b10100 + 0o133) + chr(2446 - 2395) + chr(0b110001) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1001 + 0o52) + chr(0b110011) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\x31' + '\066', 37329 - 37321), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(721 - 672) + chr(0b110100) + '\061', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf'), '\x64' + chr(7080 - 6979) + '\x63' + chr(0b1101111) + '\144' + chr(0b1100101))('\165' + '\x74' + chr(0b1100110) + chr(1563 - 1518) + chr(2201 - 2145)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RC77lVoSn1T_():
n4ljua2gi1Pr = Nk9m9eKr4iuF.transformer_tiny()
n4ljua2gi1Pr.qVamxim0L2I1 = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100011 + 0o15), 0b1000)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\x80,\x92\x8c\x00)\xeb\xde\xd8\xa1'), '\x64' + '\x65' + chr(99) + chr(111) + '\x64' + chr(6961 - 6860))('\165' + chr(0b1100 + 0o150) + chr(0b1010111 + 0o17) + chr(0b101 + 0o50) + chr(1317 - 1261)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x92 \x9f\xb5\x1c\x06\xfc\xcd\xd5\xb9\xfb*'), '\x64' + chr(0b111101 + 0o50) + '\x63' + chr(0b1101111) + chr(0b1010011 + 0o21) + chr(0b100101 + 0o100))('\x75' + '\164' + '\x66' + '\055' + chr(1871 - 1815)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0d\xc4'), chr(100) + '\145' + '\x63' + chr(111) + '\x64' + '\x65')('\165' + '\x74' + chr(0b111010 + 0o54) + chr(45) + chr(1668 - 1612)))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/base.py
|
pixels_from_softmax
|
def pixels_from_softmax(frame_logits, pure_sampling=False,
temperature=1.0, gumbel_noise_factor=0.2):
"""Given frame_logits from a per-pixel softmax, generate colors."""
# If we're purely sampling, just sample each pixel.
if pure_sampling or temperature == 0.0:
return common_layers.sample_with_temperature(frame_logits, temperature)
# Gumbel-sample from the pixel sofmax and average by pixel values.
pixel_range = tf.to_float(tf.range(256))
for _ in range(len(frame_logits.get_shape().as_list()) - 1):
pixel_range = tf.expand_dims(pixel_range, axis=0)
frame_logits = tf.nn.log_softmax(frame_logits)
gumbel_samples = discretization.gumbel_sample(
common_layers.shape_list(frame_logits)) * gumbel_noise_factor
frame = tf.nn.softmax((frame_logits + gumbel_samples) / temperature, axis=-1)
result = tf.reduce_sum(frame * pixel_range, axis=-1)
# Round on the forward pass, not on the backward one.
return result + tf.stop_gradient(tf.round(result) - result)
|
python
|
def pixels_from_softmax(frame_logits, pure_sampling=False,
temperature=1.0, gumbel_noise_factor=0.2):
"""Given frame_logits from a per-pixel softmax, generate colors."""
# If we're purely sampling, just sample each pixel.
if pure_sampling or temperature == 0.0:
return common_layers.sample_with_temperature(frame_logits, temperature)
# Gumbel-sample from the pixel sofmax and average by pixel values.
pixel_range = tf.to_float(tf.range(256))
for _ in range(len(frame_logits.get_shape().as_list()) - 1):
pixel_range = tf.expand_dims(pixel_range, axis=0)
frame_logits = tf.nn.log_softmax(frame_logits)
gumbel_samples = discretization.gumbel_sample(
common_layers.shape_list(frame_logits)) * gumbel_noise_factor
frame = tf.nn.softmax((frame_logits + gumbel_samples) / temperature, axis=-1)
result = tf.reduce_sum(frame * pixel_range, axis=-1)
# Round on the forward pass, not on the backward one.
return result + tf.stop_gradient(tf.round(result) - result)
|
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Given frame_logits from a per-pixel softmax, generate colors.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/base.py#L40-L59
|
train
|
Given frame_logits from a per - pixel softmax generate colors.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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(0b1010110 + 0o31) + chr(49) + chr(1974 - 1926) + chr(49), 0b1000), ehT0Px3KOsy9(chr(404 - 356) + '\x6f' + '\063' + chr(51) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(73 - 22) + chr(1849 - 1795) + chr(0b0 + 0o60), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6030 - 5919) + chr(49) + chr(0b11000 + 0o33) + chr(0b101110 + 0o7), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10101 + 0o132) + chr(0b101000 + 0o12) + '\x30' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x37' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(414 - 362) + chr(1467 - 1418), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + chr(0b10101 + 0o34) + chr(0b101010 + 0o15) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + '\062' + chr(0b110011) + '\x31', 0b1000), ehT0Px3KOsy9(chr(124 - 76) + chr(0b1101111) + chr(0b110011) + chr(0b110100) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(662 - 607) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(224 - 176) + '\157' + chr(0b1011 + 0o50) + chr(1420 - 1367) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\062' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(48) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2820 - 2709) + chr(0b110001) + '\x33' + '\066', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(78 - 29) + chr(55) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\064' + chr(657 - 603), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(257 - 146) + '\x32' + '\060' + chr(0b11001 + 0o35), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + chr(0b10011 + 0o40) + '\063' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + '\063' + chr(48) + chr(1870 - 1815), 28549 - 28541), ehT0Px3KOsy9(chr(1170 - 1122) + chr(0b111101 + 0o62) + chr(0b11111 + 0o22) + chr(2257 - 2202) + chr(49), 0b1000), ehT0Px3KOsy9(chr(821 - 773) + chr(0b1101111) + '\x35' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5861 - 5750) + '\063' + chr(0b11010 + 0o26) + chr(0b100000 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x34' + '\x35', 50096 - 50088), ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + '\065' + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11 + 0o57) + chr(2118 - 2067), 14939 - 14931), ehT0Px3KOsy9('\x30' + chr(111) + chr(1184 - 1134) + chr(50) + chr(55), 28515 - 28507), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\x32' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110000 + 0o77) + '\x31' + chr(49) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b110110) + '\064', 24837 - 24829), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(50) + chr(0b10110 + 0o36) + chr(53), 12055 - 12047), ehT0Px3KOsy9(chr(82 - 34) + chr(0b1010110 + 0o31) + chr(0b101 + 0o55) + chr(55) + chr(52), 30143 - 30135), ehT0Px3KOsy9('\x30' + chr(4436 - 4325) + '\062' + chr(847 - 793) + chr(175 - 120), 14579 - 14571), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\066' + chr(1896 - 1843), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(53) + chr(0b100111 + 0o14), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10010 + 0o37) + chr(0b1000 + 0o54) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(785 - 736) + chr(1537 - 1487) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(57 - 9) + chr(0b11001 + 0o126) + chr(0b10110 + 0o33) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(800 - 689) + chr(49) + chr(0b1011 + 0o47) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\x32' + '\060', 45372 - 45364)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1686 - 1638) + chr(6459 - 6348) + '\x35' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'o'), chr(100) + chr(101) + chr(2814 - 2715) + '\x6f' + chr(0b110001 + 0o63) + '\x65')(chr(9129 - 9012) + chr(3697 - 3581) + chr(102) + chr(1480 - 1435) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def L1v47ZcB6HdO(Wfriqf6lN3Hc, BE85Zjl0quem=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x30', 0b1000), uICaXvjWrxGa=1.0, iu0Dsc3R9Kkk=0.2):
if BE85Zjl0quem or uICaXvjWrxGa == 0.0:
return xafqLlk3kkUe(jSKPaHwSAfVv, xafqLlk3kkUe(SXOLrMavuUCe(b'2\xbe\x9d-\xee[~\x0b\xf0\x97R\xb2\xe6\xa13\nC\xf4\xb9\xb3\x0cY\xa7'), chr(100) + chr(660 - 559) + '\143' + chr(0b1101111) + '\144' + '\x65')(chr(0b110000 + 0o105) + chr(10652 - 10536) + '\x66' + chr(45) + '\070'))(Wfriqf6lN3Hc, uICaXvjWrxGa)
gBF8SloDSd3d = IDJ2eXGCBCDu.to_float(IDJ2eXGCBCDu.range(ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(276 - 224) + '\x30' + chr(0b110000), 0o10)))
for VNGQdHSFPrso in vQr8gNKaIaWE(c2A0yzQpDQB3(xafqLlk3kkUe(Wfriqf6lN3Hc.get_shape(), xafqLlk3kkUe(SXOLrMavuUCe(b' \xac\xaf1\xebMU'), chr(100) + '\145' + '\x63' + chr(7466 - 7355) + chr(0b1100100) + chr(9185 - 9084))('\x75' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(56)))()) - ehT0Px3KOsy9(chr(652 - 604) + '\x6f' + chr(0b110001), ord("\x08"))):
gBF8SloDSd3d = IDJ2eXGCBCDu.expand_dims(gBF8SloDSd3d, axis=ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101010 + 0o5) + chr(48), 8))
Wfriqf6lN3Hc = IDJ2eXGCBCDu.nn.log_softmax(Wfriqf6lN3Hc)
BX2pABD_1Jen = mllfN6mU2TGo.gumbel_sample(jSKPaHwSAfVv.shape_list(Wfriqf6lN3Hc)) * iu0Dsc3R9Kkk
C4IqNNmLfHXB = IDJ2eXGCBCDu.nn.softmax((Wfriqf6lN3Hc + BX2pABD_1Jen) / uICaXvjWrxGa, axis=-ehT0Px3KOsy9('\060' + chr(111) + chr(49), 8))
ShZmEKfTkAOZ = IDJ2eXGCBCDu.reduce_sum(C4IqNNmLfHXB * gBF8SloDSd3d, axis=-ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(49), 8))
return ShZmEKfTkAOZ + xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'2\xab\x9f-\xddYS\x1d\xfd\x8a_\x83\xe6'), '\x64' + '\x65' + '\143' + chr(0b1101111) + chr(0b1100100 + 0o0) + chr(2007 - 1906))('\x75' + chr(0b1110100) + chr(0b10010 + 0o124) + chr(207 - 162) + chr(613 - 557)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'3\xb0\x853\xe6'), chr(6464 - 6364) + chr(0b1100101) + chr(0b1011011 + 0o10) + chr(0b1001101 + 0o42) + '\144' + '\x65')(chr(0b1010010 + 0o43) + chr(116) + '\146' + chr(0b11010 + 0o23) + chr(0b110100 + 0o4)))(ShZmEKfTkAOZ) - ShZmEKfTkAOZ)
|
tensorflow/tensor2tensor
|
tensor2tensor/models/video/base.py
|
next_frame_base
|
def next_frame_base():
"""Common HParams for next_frame models."""
hparams = common_hparams.basic_params1()
# Loss cutoff.
hparams.add_hparam("video_modality_loss_cutoff", 0.01)
# Additional resizing the frames before feeding them to model.
hparams.add_hparam("preprocess_resize_frames", None)
# How many data points to suffle. Ideally should be part of problem not model!
hparams.add_hparam("shuffle_buffer_size", 128)
# Tiny mode. For faster tests.
hparams.add_hparam("tiny_mode", False)
# In case a model supports smaller/faster version.
hparams.add_hparam("small_mode", False)
# In case a model has stochastic version.
hparams.add_hparam("stochastic_model", False)
# Internal loss for recurrent models.
hparams.add_hparam("internal_loss", True)
# choose from: concat, multiplicative, multi_additive
hparams.add_hparam("action_injection", "multi_additive")
# Scheduled sampling method. Choose between
# ground_truth_only, prediction_only, prob, count, prob_inverse_exp.
hparams.add_hparam("scheduled_sampling_mode", "prediction_only")
hparams.add_hparam("scheduled_sampling_decay_steps", 10000)
hparams.add_hparam("scheduled_sampling_max_prob", 1.0)
hparams.add_hparam("scheduled_sampling_k", 900.0)
return hparams
|
python
|
def next_frame_base():
"""Common HParams for next_frame models."""
hparams = common_hparams.basic_params1()
# Loss cutoff.
hparams.add_hparam("video_modality_loss_cutoff", 0.01)
# Additional resizing the frames before feeding them to model.
hparams.add_hparam("preprocess_resize_frames", None)
# How many data points to suffle. Ideally should be part of problem not model!
hparams.add_hparam("shuffle_buffer_size", 128)
# Tiny mode. For faster tests.
hparams.add_hparam("tiny_mode", False)
# In case a model supports smaller/faster version.
hparams.add_hparam("small_mode", False)
# In case a model has stochastic version.
hparams.add_hparam("stochastic_model", False)
# Internal loss for recurrent models.
hparams.add_hparam("internal_loss", True)
# choose from: concat, multiplicative, multi_additive
hparams.add_hparam("action_injection", "multi_additive")
# Scheduled sampling method. Choose between
# ground_truth_only, prediction_only, prob, count, prob_inverse_exp.
hparams.add_hparam("scheduled_sampling_mode", "prediction_only")
hparams.add_hparam("scheduled_sampling_decay_steps", 10000)
hparams.add_hparam("scheduled_sampling_max_prob", 1.0)
hparams.add_hparam("scheduled_sampling_k", 900.0)
return hparams
|
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",",
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",",
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",",
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",",
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] |
Common HParams for next_frame models.
|
[
"Common",
"HParams",
"for",
"next_frame",
"models",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/models/video/base.py#L679-L704
|
train
|
Common HParams for next_frame models.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\x35' + chr(52), 62139 - 62131), ehT0Px3KOsy9(chr(948 - 900) + chr(0b101111 + 0o100) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(423 - 372) + '\x36' + chr(52), 54020 - 54012), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + '\063' + '\x37' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10 + 0o57) + chr(54) + chr(887 - 837), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\x32' + chr(0b10101 + 0o35), 38094 - 38086), ehT0Px3KOsy9(chr(928 - 880) + '\157' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110011) + '\064', 41420 - 41412), ehT0Px3KOsy9(chr(1905 - 1857) + '\x6f' + '\x31' + chr(0b11111 + 0o30) + chr(0b100000 + 0o26), 48307 - 48299), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + '\x31' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + chr(794 - 744) + '\065' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\x35' + chr(2449 - 2397), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000 + 0o1) + '\x37' + chr(49), 13120 - 13112), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\x33' + chr(0b100000 + 0o21), 31868 - 31860), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(54), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b110011) + chr(0b110001), 9895 - 9887), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(49) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + '\063' + '\063' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\067' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(180 - 132) + chr(0b1101111) + chr(0b110001) + '\x36' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(52) + chr(0b110011), 47329 - 47321), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + chr(51) + chr(2390 - 2339) + '\061', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110111) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(1642 - 1587) + chr(793 - 745), 37102 - 37094), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(54) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110111) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(54) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101001 + 0o6) + chr(50) + chr(0b10001 + 0o43) + chr(0b100101 + 0o22), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6083 - 5972) + chr(50) + '\067' + chr(1541 - 1492), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(745 - 695) + '\x33' + chr(0b110101), 8362 - 8354), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\062' + '\x35', 0b1000), ehT0Px3KOsy9(chr(178 - 130) + '\157' + chr(0b100100 + 0o23) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + chr(0b100 + 0o57) + chr(2143 - 2095) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1000011 + 0o54) + '\x31' + chr(1274 - 1226) + '\066', 26048 - 26040), ehT0Px3KOsy9(chr(1329 - 1281) + chr(138 - 27) + chr(49) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(54) + chr(0b11010 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(0b110001) + chr(0b110100) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b1011 + 0o51) + chr(1467 - 1412), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\067' + '\x32', 0o10), ehT0Px3KOsy9(chr(1824 - 1776) + '\157' + chr(1090 - 1040) + '\060' + chr(812 - 761), 48998 - 48990)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b100111 + 0o110) + chr(0b110101) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x82'), '\144' + chr(4646 - 4545) + '\143' + '\x6f' + chr(0b1100100) + chr(4380 - 4279))(chr(0b1110000 + 0o5) + '\x74' + chr(9920 - 9818) + '\055' + chr(0b101 + 0o63)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FCfpu8yIKvdj():
n4ljua2gi1Pr = vLnG3ZpOXWXZ.basic_params1()
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd`\x90\xa2\x1a\xe2`\xae\x1f\xa5'), chr(0b1111 + 0o125) + chr(101) + chr(99) + chr(10364 - 10253) + '\x64' + '\145')('\x75' + '\164' + chr(0b1100110) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdam\x90\x98\x1d\xcdl\xb3\x1a\xa9\xc5\x05\r\xa0Q5\xa4\xae\xc8/@\xacM\x97\x12\x9e'), chr(7634 - 7534) + '\145' + '\x63' + chr(111) + chr(0b1100100) + chr(4609 - 4508))('\x75' + chr(5566 - 5450) + chr(0b1100110) + '\x2d' + '\070'), 0.01)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd`\x90\xa2\x1a\xe2`\xae\x1f\xa5'), chr(4613 - 4513) + chr(101) + '\143' + chr(111) + chr(0b1100100) + chr(8530 - 8429))(chr(10574 - 10457) + chr(0b10 + 0o162) + chr(102) + chr(1003 - 958) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcv\x91\x8d\x00\xfdb\xb9\r\xbb\xf6\x1e\x1c\xaag#\xae\x82\xdd\x02B\xb4\\\x8b'), chr(0b1110 + 0o126) + '\x65' + chr(0b1100011) + '\157' + '\x64' + '\145')(chr(0b1000111 + 0o56) + chr(0b1110100) + chr(0b111000 + 0o56) + chr(45) + chr(2017 - 1961)), None)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd`\x90\xa2\x1a\xe2`\xae\x1f\xa5'), '\144' + '\x65' + chr(2007 - 1908) + '\x6f' + '\x64' + chr(9917 - 9816))(chr(117) + '\x74' + '\146' + chr(128 - 83) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfl\x81\x9b\x14\xfed\x83\x1c\xbd\xcf\n\x1c\xabQ*\xa2\xa7\xde'), chr(0b100000 + 0o104) + chr(3854 - 3753) + '\143' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(117) + chr(116) + chr(102) + chr(1941 - 1896) + chr(0b111000)), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\x30' + chr(0b110000), 0o10))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd`\x90\xa2\x1a\xe2`\xae\x1f\xa5'), '\144' + chr(6078 - 5977) + chr(0b1000 + 0o133) + chr(0b1101111) + chr(1534 - 1434) + chr(0b1100101))(chr(0b1110011 + 0o2) + chr(116) + chr(102) + chr(0b1111 + 0o36) + chr(720 - 664)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8m\x9a\x84-\xffn\xb8\x1b'), '\x64' + chr(6076 - 5975) + '\143' + '\x6f' + chr(7299 - 7199) + chr(0b1100101))(chr(5793 - 5676) + chr(116) + chr(102) + chr(0b101101) + chr(56)), ehT0Px3KOsy9('\x30' + chr(2862 - 2751) + chr(472 - 424), 0o10))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd`\x90\xa2\x1a\xe2`\xae\x1f\xa5'), '\144' + chr(101) + '\x63' + chr(111) + chr(0b1100100) + chr(9185 - 9084))(chr(117) + chr(0b11110 + 0o126) + '\146' + '\055' + chr(0b1010 + 0o56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfi\x95\x91\x1e\xcdl\xb3\x1a\xad'), chr(3343 - 3243) + '\145' + chr(0b1100011) + '\x6f' + '\144' + chr(0b10001 + 0o124))(chr(0b110001 + 0o104) + '\x74' + '\x66' + chr(0b101101) + chr(1145 - 1089)), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd`\x90\xa2\x1a\xe2`\xae\x1f\xa5'), chr(0b111110 + 0o46) + chr(0b1100101) + '\143' + chr(111) + chr(0b1011 + 0o131) + '\145')(chr(117) + chr(0b100110 + 0o116) + '\x66' + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfp\x9b\x9e\x1a\xf3r\xa8\x17\xab\xf6\x01\x16\xbdk5'), chr(4148 - 4048) + '\x65' + chr(0b11101 + 0o106) + chr(0b1101111) + '\x64' + '\145')(chr(0b1110101) + '\x74' + chr(5314 - 5212) + chr(1198 - 1153) + '\x38'), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110000), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd`\x90\xa2\x1a\xe2`\xae\x1f\xa5'), chr(100) + '\145' + '\x63' + chr(0b111101 + 0o62) + '\x64' + chr(1445 - 1344))('\165' + chr(116) + '\x66' + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5j\x80\x98\x00\xfc`\xb0!\xa4\xc6\x1f\n'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + chr(0b110111 + 0o55) + chr(0b1100101))('\165' + '\x74' + chr(1417 - 1315) + chr(1625 - 1580) + chr(0b11 + 0o65)), ehT0Px3KOsy9(chr(1162 - 1114) + chr(0b1101111) + chr(0b110001), 8))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd`\x90\xa2\x1a\xe2`\xae\x1f\xa5'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + chr(100) + '\145')(chr(0b1110101) + chr(1646 - 1530) + chr(102) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcdg\x80\x94\x1d\xfc^\xb5\x10\xa2\xcc\x0f\r\xb0a7'), '\x64' + '\145' + chr(99) + chr(3964 - 3853) + chr(3255 - 3155) + '\145')(chr(0b110110 + 0o77) + '\x74' + chr(0b1100110) + '\055' + chr(1321 - 1265)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1q\x98\x89\x1b\xcd`\xb8\x1a\xa1\xdd\x05\x0f\xbc'), chr(1305 - 1205) + chr(0b1100101) + '\143' + chr(111) + '\x64' + '\x65')(chr(0b1110101) + '\x74' + '\x66' + chr(453 - 408) + chr(0b0 + 0o70)))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd`\x90\xa2\x1a\xe2`\xae\x1f\xa5'), chr(914 - 814) + chr(0b1100101) + chr(0b110011 + 0o60) + '\157' + chr(100) + chr(0b11010 + 0o113))(chr(0b1000000 + 0o65) + '\x74' + chr(0b1100110) + chr(0b100101 + 0o10) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfg\x9c\x98\x16\xe7m\xb9\x1a\x97\xda\r\x14\xa9b0\xa5\xba\xe4\x1dL\xbd\\'), chr(0b11101 + 0o107) + chr(0b111010 + 0o53) + '\143' + '\157' + chr(0b1100100) + chr(0b11111 + 0o106))('\165' + chr(116) + chr(102) + '\055' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcv\x91\x99\x1b\xf1u\xb5\x11\xa6\xf6\x03\x17\xb5w'), '\x64' + chr(0b1100101) + '\143' + chr(111) + '\144' + '\145')('\x75' + chr(4456 - 4340) + '\146' + chr(730 - 685) + '\070'))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd`\x90\xa2\x1a\xe2`\xae\x1f\xa5'), chr(6387 - 6287) + chr(101) + '\143' + chr(0b1010000 + 0o37) + '\x64' + chr(1064 - 963))(chr(0b1 + 0o164) + '\164' + chr(0b1100101 + 0o1) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfg\x9c\x98\x16\xe7m\xb9\x1a\x97\xda\r\x14\xa9b0\xa5\xba\xe4\x14F\xbaX\x81+\x8b\x80\xc2\xc9\xee'), chr(3945 - 3845) + '\x65' + '\x63' + chr(0b1101010 + 0o5) + '\x64' + chr(101))(chr(0b1110101) + chr(116) + chr(674 - 572) + chr(45) + chr(0b101101 + 0o13)), ehT0Px3KOsy9(chr(2128 - 2080) + chr(111) + '\062' + '\063' + '\064' + '\062' + chr(0b11110 + 0o22), ord("\x08")))
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd`\x90\xa2\x1a\xe2`\xae\x1f\xa5'), chr(100) + chr(6739 - 6638) + chr(99) + chr(111) + chr(9759 - 9659) + chr(0b1100101))(chr(0b10101 + 0o140) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfg\x9c\x98\x16\xe7m\xb9\x1a\x97\xda\r\x14\xa9b0\xa5\xba\xe4\x1dB\xa1f\x88\x06\x97\x96'), '\x64' + '\x65' + '\143' + '\157' + chr(100) + '\x65')(chr(0b1110101) + chr(0b101001 + 0o113) + chr(0b1000100 + 0o42) + chr(0b101101 + 0o0) + chr(56)), 1.0)
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd`\x90\xa2\x1a\xe2`\xae\x1f\xa5'), chr(0b1100100) + chr(0b1010100 + 0o21) + chr(8570 - 8471) + chr(0b10100 + 0o133) + chr(1945 - 1845) + chr(578 - 477))('\x75' + chr(4082 - 3966) + chr(0b1000001 + 0o45) + chr(0b10111 + 0o26) + chr(0b10001 + 0o47)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfg\x9c\x98\x16\xe7m\xb9\x1a\x97\xda\r\x14\xa9b0\xa5\xba\xe4\x1b'), chr(100) + chr(2763 - 2662) + chr(2494 - 2395) + chr(0b1101111) + '\x64' + '\x65')(chr(7909 - 7792) + chr(0b11000 + 0o134) + chr(102) + '\x2d' + '\070'), 900.0)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/gym_utils.py
|
remove_time_limit_wrapper
|
def remove_time_limit_wrapper(env):
"""Removes top level TimeLimit Wrapper.
Removes TimeLimit Wrapper from top level if exists, throws error if any other
TimeLimit Wrapper is present in stack.
Args:
env: environment
Returns:
the env with removed time limit wrapper.
"""
if isinstance(env, gym.wrappers.TimeLimit):
env = env.env
env_ = env
while isinstance(env_, gym.Wrapper):
if isinstance(env_, gym.wrappers.TimeLimit):
raise ValueError("Can remove only top-level TimeLimit gym.Wrapper.")
env_ = env_.env
return env
|
python
|
def remove_time_limit_wrapper(env):
"""Removes top level TimeLimit Wrapper.
Removes TimeLimit Wrapper from top level if exists, throws error if any other
TimeLimit Wrapper is present in stack.
Args:
env: environment
Returns:
the env with removed time limit wrapper.
"""
if isinstance(env, gym.wrappers.TimeLimit):
env = env.env
env_ = env
while isinstance(env_, gym.Wrapper):
if isinstance(env_, gym.wrappers.TimeLimit):
raise ValueError("Can remove only top-level TimeLimit gym.Wrapper.")
env_ = env_.env
return env
|
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"\"Can remove only top-level TimeLimit gym.Wrapper.\"",
")",
"env_",
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"env"
] |
Removes top level TimeLimit Wrapper.
Removes TimeLimit Wrapper from top level if exists, throws error if any other
TimeLimit Wrapper is present in stack.
Args:
env: environment
Returns:
the env with removed time limit wrapper.
|
[
"Removes",
"top",
"level",
"TimeLimit",
"Wrapper",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/gym_utils.py#L129-L148
|
train
|
Removes TimeLimit Wrapper from top level if exists raises error if any other TimeLimit Wrapper is present in stack.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,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) + '\x32' + '\063' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + '\063' + chr(0b110 + 0o54) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\x37' + chr(49), 31789 - 31781), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b101000 + 0o12), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\061', 0o10), ehT0Px3KOsy9(chr(901 - 853) + chr(0b1010111 + 0o30) + chr(0b110100) + chr(51), 0b1000), ehT0Px3KOsy9(chr(1849 - 1801) + chr(0b1101111) + '\x31' + chr(2779 - 2726), 6795 - 6787), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b101001 + 0o106) + '\x32' + '\065', 20230 - 20222), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(0b110010) + chr(0b110000) + chr(0b100001 + 0o22), 22124 - 22116), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\x34' + chr(1828 - 1777), 36945 - 36937), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1100011 + 0o14) + '\x31' + chr(1490 - 1435) + chr(0b11110 + 0o27), 0b1000), ehT0Px3KOsy9(chr(168 - 120) + '\x6f' + chr(0b110010) + '\x34' + '\063', 0b1000), ehT0Px3KOsy9(chr(890 - 842) + '\157' + chr(1595 - 1546) + chr(48) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1232 - 1184) + chr(0b11110 + 0o121) + chr(0b110110) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b111 + 0o52) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + '\061' + chr(0b110011 + 0o0) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + chr(334 - 284) + chr(0b11000 + 0o35) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(478 - 428) + chr(50) + chr(1303 - 1252), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12116 - 12005) + '\061' + chr(643 - 593), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2691 - 2580) + chr(0b110011) + chr(0b11100 + 0o27) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b10101 + 0o33) + chr(2630 - 2577), 58318 - 58310), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b100011 + 0o20) + chr(162 - 111), 0o10), ehT0Px3KOsy9(chr(380 - 332) + chr(0b1101111) + chr(2295 - 2246) + '\064', 58158 - 58150), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(593 - 545) + chr(1537 - 1486), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110010 + 0o0) + '\x31', 0o10), ehT0Px3KOsy9(chr(183 - 135) + chr(111) + chr(0b110011) + chr(248 - 200) + chr(0b11011 + 0o30), 0o10), ehT0Px3KOsy9(chr(413 - 365) + '\x6f' + '\061' + chr(1273 - 1218) + chr(0b110101), 8), ehT0Px3KOsy9('\x30' + chr(9105 - 8994) + chr(0b101 + 0o55) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b10001 + 0o43) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b110010) + chr(0b100001 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x35' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + chr(51) + chr(0b110110) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1640 - 1589) + '\067' + chr(315 - 267), 54747 - 54739), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(2027 - 1972) + chr(0b110111), 27575 - 27567), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1110 + 0o44) + chr(0b110111) + chr(0b110010 + 0o0), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1919 - 1869) + '\x35', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\x32' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7783 - 7672) + chr(49) + chr(0b110111), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\x31' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1276 - 1165) + chr(2240 - 2191) + chr(55) + chr(1290 - 1235), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + '\065' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3'), '\144' + '\145' + chr(99) + '\157' + '\144' + '\145')('\165' + '\x74' + chr(0b1100001 + 0o5) + chr(84 - 39) + chr(194 - 138)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def cOB1UnUG1G1_(xzsHIGfR8Ip5):
if PlSM16l2KDPD(xzsHIGfR8Ip5, xafqLlk3kkUe(mZyhk1NGHEBF.wrappers, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xbc\xd4\x7f]J`|\xf7'), chr(5278 - 5178) + '\x65' + chr(9623 - 9524) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1110100) + chr(102) + chr(45) + chr(2834 - 2778)))):
xzsHIGfR8Ip5 = xzsHIGfR8Ip5.env
Ys2d1TDXTdYu = xzsHIGfR8Ip5
while PlSM16l2KDPD(Ys2d1TDXTdYu, xafqLlk3kkUe(mZyhk1NGHEBF, xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xa7\xd8jaF\x7f'), '\144' + '\145' + chr(0b1100 + 0o127) + chr(0b1101111) + chr(4279 - 4179) + '\145')(chr(0b1011011 + 0o32) + chr(116) + chr(3759 - 3657) + chr(45) + chr(1756 - 1700)))):
if PlSM16l2KDPD(Ys2d1TDXTdYu, xafqLlk3kkUe(mZyhk1NGHEBF.wrappers, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9\xbc\xd4\x7f]J`|\xf7'), '\144' + chr(5295 - 5194) + chr(3897 - 3798) + chr(0b1101111) + '\144' + '\145')(chr(2951 - 2834) + chr(0b1110100) + chr(0b1100110) + '\055' + '\x38'))):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xb4\xd7:cF`z\xf5\x86]\xcc/^v}\xd9\xfcz\xf4\xa9>z&\xfd\xe3)}\xcd2\xe3\x9a\x95V\xce5\xb1v\xa4Q\xca\xa7\xd8jaF\x7f;'), chr(0b1100100) + chr(0b11 + 0o142) + chr(0b1000100 + 0o37) + '\157' + chr(0b11110 + 0o106) + chr(0b1001 + 0o134))(chr(0b1110101) + '\x74' + '\x66' + '\055' + chr(56)))
Ys2d1TDXTdYu = Ys2d1TDXTdYu.env
return xzsHIGfR8Ip5
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/gym_utils.py
|
gym_env_wrapper
|
def gym_env_wrapper(env, rl_env_max_episode_steps, maxskip_env, rendered_env,
rendered_env_resize_to, sticky_actions):
"""Wraps a gym environment. see make_gym_env for details."""
# rl_env_max_episode_steps is None or int.
assert ((not rl_env_max_episode_steps) or
isinstance(rl_env_max_episode_steps, int))
wrap_with_time_limit = ((not rl_env_max_episode_steps) or
rl_env_max_episode_steps >= 0)
if wrap_with_time_limit:
env = remove_time_limit_wrapper(env)
if sticky_actions:
env = StickyActionEnv(env)
if maxskip_env:
env = MaxAndSkipEnv(env) # pylint: disable=redefined-variable-type
if rendered_env:
env = RenderedEnv(env, resize_to=rendered_env_resize_to)
if wrap_with_time_limit:
env = gym.wrappers.TimeLimit(
env, max_episode_steps=rl_env_max_episode_steps)
return env
|
python
|
def gym_env_wrapper(env, rl_env_max_episode_steps, maxskip_env, rendered_env,
rendered_env_resize_to, sticky_actions):
"""Wraps a gym environment. see make_gym_env for details."""
# rl_env_max_episode_steps is None or int.
assert ((not rl_env_max_episode_steps) or
isinstance(rl_env_max_episode_steps, int))
wrap_with_time_limit = ((not rl_env_max_episode_steps) or
rl_env_max_episode_steps >= 0)
if wrap_with_time_limit:
env = remove_time_limit_wrapper(env)
if sticky_actions:
env = StickyActionEnv(env)
if maxskip_env:
env = MaxAndSkipEnv(env) # pylint: disable=redefined-variable-type
if rendered_env:
env = RenderedEnv(env, resize_to=rendered_env_resize_to)
if wrap_with_time_limit:
env = gym.wrappers.TimeLimit(
env, max_episode_steps=rl_env_max_episode_steps)
return env
|
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"env",
"=",
"StickyActionEnv",
"(",
"env",
")",
"if",
"maxskip_env",
":",
"env",
"=",
"MaxAndSkipEnv",
"(",
"env",
")",
"# pylint: disable=redefined-variable-type",
"if",
"rendered_env",
":",
"env",
"=",
"RenderedEnv",
"(",
"env",
",",
"resize_to",
"=",
"rendered_env_resize_to",
")",
"if",
"wrap_with_time_limit",
":",
"env",
"=",
"gym",
".",
"wrappers",
".",
"TimeLimit",
"(",
"env",
",",
"max_episode_steps",
"=",
"rl_env_max_episode_steps",
")",
"return",
"env"
] |
Wraps a gym environment. see make_gym_env for details.
|
[
"Wraps",
"a",
"gym",
"environment",
".",
"see",
"make_gym_env",
"for",
"details",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/gym_utils.py#L151-L176
|
train
|
A wrapper for a gym 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('\060' + chr(2378 - 2267) + '\x34' + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(1923 - 1872) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + '\x31' + chr(569 - 515) + chr(0b1000 + 0o51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000010 + 0o55) + '\065' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(810 - 762) + chr(0b111011 + 0o64) + chr(49) + chr(2036 - 1983) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(12157 - 12046) + chr(0b110110) + chr(0b1000 + 0o54), 53661 - 53653), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x32' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(51) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(9163 - 9052) + '\063' + chr(1990 - 1941), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(52) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b110001) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\061' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\065' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(0b11010 + 0o30) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(0b110011) + chr(0b11110 + 0o24) + chr(0b110100 + 0o3), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4623 - 4512) + chr(0b101011 + 0o6) + chr(0b110100) + chr(0b1011 + 0o53), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(5619 - 5508) + chr(0b110110) + '\x35', 0o10), ehT0Px3KOsy9(chr(2244 - 2196) + chr(0b1101111) + '\063', 0o10), ehT0Px3KOsy9(chr(1406 - 1358) + chr(111) + '\x32' + chr(51) + chr(0b110000), 34641 - 34633), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b11010 + 0o26) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b1010 + 0o54) + chr(1848 - 1797), 0b1000), ehT0Px3KOsy9(chr(1262 - 1214) + chr(9921 - 9810) + '\x33' + chr(124 - 73) + chr(0b11101 + 0o30), 38380 - 38372), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001 + 0o146) + chr(167 - 117) + chr(0b10001 + 0o44) + chr(0b101001 + 0o10), 8215 - 8207), ehT0Px3KOsy9(chr(0b110000) + chr(9627 - 9516) + chr(0b110010) + chr(0b100001 + 0o26) + '\x31', 47081 - 47073), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(50) + '\065' + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + '\x33' + chr(0b110111) + chr(0b110101), 43039 - 43031), ehT0Px3KOsy9('\x30' + chr(6920 - 6809) + chr(0b11011 + 0o27) + chr(0b100000 + 0o21) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2253 - 2142) + chr(0b110000 + 0o3) + chr(0b100001 + 0o25), 0b1000), ehT0Px3KOsy9(chr(572 - 524) + chr(0b1100011 + 0o14) + chr(0b110011) + chr(0b11011 + 0o33) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(8344 - 8233) + '\063' + chr(73 - 24) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b11010 + 0o125) + '\x33' + chr(53) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(160 - 112) + '\x6f' + '\062' + chr(51) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b101101 + 0o10) + chr(52), 0b1000), ehT0Px3KOsy9(chr(1870 - 1822) + '\157' + '\063' + chr(0b110010) + chr(0b11001 + 0o31), 33470 - 33462), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(5257 - 5146) + chr(50) + chr(0b10 + 0o62) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6397 - 6286) + chr(0b10110 + 0o35) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(0b110001) + chr(0b1 + 0o57) + chr(52), 4785 - 4777), ehT0Px3KOsy9('\060' + chr(0b1001010 + 0o45) + chr(0b11 + 0o57) + chr(0b0 + 0o67) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(527 - 479) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + '\x31' + chr(49) + chr(0b100101 + 0o17), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(2037 - 1926) + chr(0b101001 + 0o14) + chr(48), 51478 - 51470)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c'), '\144' + '\145' + chr(1242 - 1143) + '\157' + chr(0b1100100) + '\145')(chr(117) + '\x74' + '\146' + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gEStt1wEzRBF(xzsHIGfR8Ip5, ET_18a6M9KrY, YwbdA6SxcqJt, pjdm_C0BZfPJ, HAN1UuKP8VUL, QuSYdcxcqzEo):
assert not ET_18a6M9KrY or PlSM16l2KDPD(ET_18a6M9KrY, ehT0Px3KOsy9)
vG10UFcrmFZ4 = not ET_18a6M9KrY or ET_18a6M9KrY >= ehT0Px3KOsy9('\060' + '\157' + '\x30', 0b1000)
if vG10UFcrmFZ4:
xzsHIGfR8Ip5 = cOB1UnUG1G1_(xzsHIGfR8Ip5)
if QuSYdcxcqzEo:
xzsHIGfR8Ip5 = cBCygWYsAGQ7(xzsHIGfR8Ip5)
if YwbdA6SxcqJt:
xzsHIGfR8Ip5 = F6pA01gS8EPd(xzsHIGfR8Ip5)
if pjdm_C0BZfPJ:
xzsHIGfR8Ip5 = PE3aZJhKgyYJ(xzsHIGfR8Ip5, resize_to=HAN1UuKP8VUL)
if vG10UFcrmFZ4:
xzsHIGfR8Ip5 = mZyhk1NGHEBF.wrappers.TimeLimit(xzsHIGfR8Ip5, max_episode_steps=ET_18a6M9KrY)
return xzsHIGfR8Ip5
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/gym_utils.py
|
make_gym_env
|
def make_gym_env(name,
rl_env_max_episode_steps=-1,
maxskip_env=False,
rendered_env=False,
rendered_env_resize_to=None,
sticky_actions=False):
"""Create a gym env optionally with a time limit and maxskip wrapper.
NOTE: The returned env may already be wrapped with TimeLimit!
Args:
name: `str` - base name of the gym env to make.
rl_env_max_episode_steps: `int` or None - Using any value < 0 returns the
env as-in, otherwise we impose the requested timelimit. Setting this to
None returns a wrapped env that doesn't have a step limit.
maxskip_env: whether to also use MaxAndSkip wrapper before time limit.
rendered_env: whether to force render for observations. Use this for
environments that are not natively rendering the scene for observations.
rendered_env_resize_to: a list of [height, width] to change the original
resolution of the native environment render.
sticky_actions: whether to use sticky_actions before MaxAndSkip wrapper.
Returns:
An instance of `gym.Env` or `gym.Wrapper`.
"""
env = gym.make(name)
return gym_env_wrapper(env, rl_env_max_episode_steps, maxskip_env,
rendered_env, rendered_env_resize_to, sticky_actions)
|
python
|
def make_gym_env(name,
rl_env_max_episode_steps=-1,
maxskip_env=False,
rendered_env=False,
rendered_env_resize_to=None,
sticky_actions=False):
"""Create a gym env optionally with a time limit and maxskip wrapper.
NOTE: The returned env may already be wrapped with TimeLimit!
Args:
name: `str` - base name of the gym env to make.
rl_env_max_episode_steps: `int` or None - Using any value < 0 returns the
env as-in, otherwise we impose the requested timelimit. Setting this to
None returns a wrapped env that doesn't have a step limit.
maxskip_env: whether to also use MaxAndSkip wrapper before time limit.
rendered_env: whether to force render for observations. Use this for
environments that are not natively rendering the scene for observations.
rendered_env_resize_to: a list of [height, width] to change the original
resolution of the native environment render.
sticky_actions: whether to use sticky_actions before MaxAndSkip wrapper.
Returns:
An instance of `gym.Env` or `gym.Wrapper`.
"""
env = gym.make(name)
return gym_env_wrapper(env, rl_env_max_episode_steps, maxskip_env,
rendered_env, rendered_env_resize_to, sticky_actions)
|
[
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"-",
"1",
",",
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"=",
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",",
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",",
"rendered_env_resize_to",
"=",
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",",
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",",
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",",
"maxskip_env",
",",
"rendered_env",
",",
"rendered_env_resize_to",
",",
"sticky_actions",
")"
] |
Create a gym env optionally with a time limit and maxskip wrapper.
NOTE: The returned env may already be wrapped with TimeLimit!
Args:
name: `str` - base name of the gym env to make.
rl_env_max_episode_steps: `int` or None - Using any value < 0 returns the
env as-in, otherwise we impose the requested timelimit. Setting this to
None returns a wrapped env that doesn't have a step limit.
maxskip_env: whether to also use MaxAndSkip wrapper before time limit.
rendered_env: whether to force render for observations. Use this for
environments that are not natively rendering the scene for observations.
rendered_env_resize_to: a list of [height, width] to change the original
resolution of the native environment render.
sticky_actions: whether to use sticky_actions before MaxAndSkip wrapper.
Returns:
An instance of `gym.Env` or `gym.Wrapper`.
|
[
"Create",
"a",
"gym",
"env",
"optionally",
"with",
"a",
"time",
"limit",
"and",
"maxskip",
"wrapper",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/gym_utils.py#L179-L206
|
train
|
Create a gym env optionally with a timelimit and maxskip wrapper.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(563 - 452) + chr(0b1001 + 0o51) + chr(0b11010 + 0o26) + chr(2324 - 2269), ord("\x08")), ehT0Px3KOsy9(chr(1613 - 1565) + chr(111) + chr(51) + '\063' + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(4989 - 4878) + chr(0b110011) + chr(52) + chr(0b11000 + 0o34), 19301 - 19293), ehT0Px3KOsy9(chr(1474 - 1426) + chr(8345 - 8234) + '\x31' + chr(0b11001 + 0o33) + '\x33', 12940 - 12932), ehT0Px3KOsy9(chr(0b110000) + chr(9582 - 9471) + '\x31' + chr(49) + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\x36' + chr(0b110000), 24853 - 24845), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(48) + '\x32', 61218 - 61210), ehT0Px3KOsy9(chr(48) + '\157' + chr(567 - 517) + '\064' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\064', 13834 - 13826), ehT0Px3KOsy9('\060' + chr(1729 - 1618) + chr(192 - 142) + chr(0b101000 + 0o14) + chr(2003 - 1949), 8), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(0b111 + 0o53) + '\x35' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(1154 - 1106) + '\157' + chr(956 - 906) + '\061' + chr(0b1010 + 0o50), 54408 - 54400), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(1616 - 1566) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(254 - 206) + chr(2716 - 2605) + '\061' + chr(0b110100) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(2097 - 2046) + chr(0b110110 + 0o1) + chr(0b110000 + 0o4), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b11010 + 0o32) + chr(0b110011 + 0o0), 8), ehT0Px3KOsy9(chr(1850 - 1802) + '\x6f' + chr(51) + chr(0b110010 + 0o0) + chr(0b110001), 47734 - 47726), ehT0Px3KOsy9('\x30' + chr(111) + chr(2546 - 2495) + '\x33' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b110010) + chr(0b10 + 0o56), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11398 - 11287) + chr(0b110001) + chr(55) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + '\063' + chr(475 - 425) + chr(0b1110 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(0b110011) + chr(0b1 + 0o57) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(8700 - 8589) + chr(0b110001) + '\062' + chr(1049 - 1000), 65084 - 65076), ehT0Px3KOsy9(chr(48) + chr(4722 - 4611) + chr(0b110011) + chr(49) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + '\x32' + chr(0b110001) + '\062', 8), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b110010), 22481 - 22473), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(2462 - 2411) + chr(0b101000 + 0o17) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(537 - 486) + chr(0b100010 + 0o17) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x35' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\x31' + chr(0b110010), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(49) + chr(626 - 574), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(52) + chr(1831 - 1777), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110101) + chr(516 - 461), 0b1000), ehT0Px3KOsy9(chr(1990 - 1942) + chr(807 - 696) + chr(0b100001 + 0o21) + chr(53) + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(1363 - 1311) + chr(53), 7104 - 7096), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + chr(1586 - 1534) + chr(0b101000 + 0o12), 39410 - 39402), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + '\061' + chr(50) + chr(0b101001 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + '\063' + chr(50) + chr(2290 - 2236), 39775 - 39767), ehT0Px3KOsy9('\060' + chr(111) + chr(1352 - 1303) + chr(0b100100 + 0o15) + chr(1594 - 1543), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(53) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa9'), chr(0b1100100) + chr(0b1100001 + 0o4) + chr(2387 - 2288) + '\x6f' + '\x64' + chr(7050 - 6949))('\x75' + chr(0b100101 + 0o117) + chr(102) + chr(86 - 41) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VP7rQHpJY6fA(AIvJRzLdDfgF, ET_18a6M9KrY=-ehT0Px3KOsy9('\x30' + chr(10369 - 10258) + chr(0b100110 + 0o13), 21599 - 21591), YwbdA6SxcqJt=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(67 - 19), ord("\x08")), pjdm_C0BZfPJ=ehT0Px3KOsy9(chr(48) + '\x6f' + '\x30', 8), HAN1UuKP8VUL=None, QuSYdcxcqzEo=ehT0Px3KOsy9(chr(274 - 226) + '\157' + chr(1532 - 1484), 8)):
xzsHIGfR8Ip5 = mZyhk1NGHEBF.make(AIvJRzLdDfgF)
return gEStt1wEzRBF(xzsHIGfR8Ip5, ET_18a6M9KrY, YwbdA6SxcqJt, pjdm_C0BZfPJ, HAN1UuKP8VUL, QuSYdcxcqzEo)
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/gym_utils.py
|
register_gym_env
|
def register_gym_env(class_entry_point, version="v0", kwargs=None):
"""Registers the class in Gym and returns the registered name and the env."""
split_on_colon = class_entry_point.split(":")
assert len(split_on_colon) == 2
class_name = split_on_colon[1]
# We have to add the version to conform to gym's API.
env_name = "T2TEnv-{}-{}".format(class_name, version)
gym.envs.register(id=env_name, entry_point=class_entry_point, kwargs=kwargs)
tf.logging.info("Entry Point [%s] registered with id [%s]", class_entry_point,
env_name)
return env_name, gym.make(env_name)
|
python
|
def register_gym_env(class_entry_point, version="v0", kwargs=None):
"""Registers the class in Gym and returns the registered name and the env."""
split_on_colon = class_entry_point.split(":")
assert len(split_on_colon) == 2
class_name = split_on_colon[1]
# We have to add the version to conform to gym's API.
env_name = "T2TEnv-{}-{}".format(class_name, version)
gym.envs.register(id=env_name, entry_point=class_entry_point, kwargs=kwargs)
tf.logging.info("Entry Point [%s] registered with id [%s]", class_entry_point,
env_name)
return env_name, gym.make(env_name)
|
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Registers the class in Gym and returns the registered name and the env.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/gym_utils.py#L209-L223
|
train
|
Registers the class in Gym and returns the registered name and the env.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(0b110001) + chr(0b101010 + 0o6) + chr(0b10001 + 0o40), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(1795 - 1746) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1111 + 0o140) + chr(49) + chr(55) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10101 + 0o40), 0o10), ehT0Px3KOsy9(chr(995 - 947) + '\157' + chr(50) + chr(52) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9105 - 8994) + chr(51) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\066' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b101101 + 0o102) + '\067' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1535 - 1487) + '\157' + chr(49) + chr(1864 - 1811) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1111 + 0o43) + '\063' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1444 - 1396) + '\x6f' + chr(0b110001) + chr(0b110011) + chr(48), 57499 - 57491), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b101111 + 0o6), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(50) + '\x35', 9366 - 9358), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b10001 + 0o136) + chr(52) + chr(990 - 941), 23893 - 23885), ehT0Px3KOsy9(chr(897 - 849) + chr(0b1101111) + chr(51) + '\062' + chr(0b101101 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1010 + 0o50) + chr(0b10110 + 0o37) + chr(0b11010 + 0o26), 11059 - 11051), ehT0Px3KOsy9(chr(1286 - 1238) + chr(11062 - 10951) + chr(366 - 315) + '\x32' + chr(0b110 + 0o52), 8), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(52), 0o10), ehT0Px3KOsy9(chr(2233 - 2185) + '\157' + chr(95 - 44) + chr(1934 - 1884), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b100100 + 0o113) + chr(0b110011) + chr(1269 - 1217) + chr(2363 - 2309), 0b1000), ehT0Px3KOsy9(chr(1626 - 1578) + chr(0b100010 + 0o115) + chr(51) + '\065' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + '\063' + chr(50) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + '\061' + chr(700 - 647) + '\x34', 28721 - 28713), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(0b110001) + '\062' + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000011 + 0o54) + '\x31' + chr(0b110000) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(564 - 516) + '\157' + '\x33' + '\x31', 8), ehT0Px3KOsy9(chr(1373 - 1325) + chr(0b1010100 + 0o33) + chr(596 - 545) + chr(0b110001) + chr(54), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10111 + 0o32) + chr(50) + chr(0b110101), 8), ehT0Px3KOsy9('\060' + '\157' + '\066' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(2313 - 2263) + '\061', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(273 - 225) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1995 - 1947) + '\x6f' + chr(684 - 633) + '\062' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + chr(0b110001) + chr(0b110000) + chr(0b10111 + 0o37), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\067' + chr(53), 7941 - 7933), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(135 - 81) + '\062', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\x33' + '\x35', 35500 - 35492), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\x30' + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\x31' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x32' + chr(55), 62220 - 62212)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101101 + 0o10) + chr(709 - 661), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'o'), '\x64' + chr(9120 - 9019) + '\x63' + '\x6f' + chr(9832 - 9732) + '\x65')(chr(0b1110010 + 0o3) + chr(8813 - 8697) + chr(102) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _aPr43D5UAKn(fc6wib3MguG9, cpMfQ_4_Vb7C=xafqLlk3kkUe(SXOLrMavuUCe(b'7\xfe'), chr(0b1000010 + 0o42) + chr(5581 - 5480) + chr(99) + '\x6f' + chr(100) + chr(101))(chr(117) + '\164' + chr(102) + '\055' + '\x38'), M8EIoTs2GJXE=None):
Mfq_WVXG2etx = fc6wib3MguG9.split(xafqLlk3kkUe(SXOLrMavuUCe(b'{'), chr(5232 - 5132) + '\145' + chr(9290 - 9191) + '\x6f' + chr(0b1010111 + 0o15) + chr(101))('\x75' + chr(10347 - 10231) + '\146' + '\x2d' + chr(0b111000)))
assert c2A0yzQpDQB3(Mfq_WVXG2etx) == ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b101100 + 0o103) + '\062', 0b1000)
_oBLt_tbuDVq = Mfq_WVXG2etx[ehT0Px3KOsy9('\060' + '\x6f' + '\061', 47306 - 47298)]
IPxLziQW1Fo8 = xafqLlk3kkUe(SXOLrMavuUCe(b'\x15\xfc+@\xc9o\xddE\x14\xb2#p'), chr(0b1100100) + chr(101) + chr(0b1000001 + 0o42) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b101000 + 0o114) + chr(0b1100110) + '\055' + chr(2303 - 2247)).V4roHaS3Ppej(_oBLt_tbuDVq, cpMfQ_4_Vb7C)
xafqLlk3kkUe(mZyhk1NGHEBF.envs, xafqLlk3kkUe(SXOLrMavuUCe(b'3\xab\x18l\xd4m\x95L'), '\144' + chr(2208 - 2107) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1011011 + 0o13) + chr(1831 - 1786) + chr(0b111000)))(id=IPxLziQW1Fo8, entry_point=fc6wib3MguG9, kwargs=M8EIoTs2GJXE)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x12\xf97}\xd2z\x97\t\x03\xf3\x02f'), '\x64' + '\x65' + '\x63' + chr(0b11110 + 0o121) + '\144' + chr(101))(chr(0b1110101) + chr(0b1101 + 0o147) + chr(0b1100110) + chr(333 - 288) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x04\xa0\x0bw\xde9\xa0Q\x00\xf1,-\x0e\x04\xa3\xf5\xf0v\x7f\x81\x80\xa3\x1840|\xaauB83\xbffmY\x92\x06\xa5\xbb\n'), chr(0b1010001 + 0o23) + chr(5184 - 5083) + chr(0b1001101 + 0o26) + chr(111) + '\x64' + chr(0b111000 + 0o55))(chr(4229 - 4112) + chr(0b1110100) + '\146' + chr(0b100011 + 0o12) + chr(0b11001 + 0o37)), fc6wib3MguG9, IPxLziQW1Fo8)
return (IPxLziQW1Fo8, xafqLlk3kkUe(mZyhk1NGHEBF, xafqLlk3kkUe(SXOLrMavuUCe(b',\xaf\x14`'), chr(0b1100100) + chr(571 - 470) + chr(99) + chr(1501 - 1390) + chr(0b1100100) + chr(0b1100011 + 0o2))(chr(7843 - 7726) + chr(116) + '\x66' + chr(491 - 446) + chr(0b111000)))(IPxLziQW1Fo8))
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/gym_utils.py
|
MaxAndSkipEnv.step
|
def step(self, action):
"""Repeat action, sum reward, and max over last observations."""
total_reward = 0.0
done = None
for i in range(self._skip):
obs, reward, done, info = self.env.step(action)
if i == self._skip - 2:
self._obs_buffer[0] = obs
if i == self._skip - 1:
self._obs_buffer[1] = obs
total_reward += reward
if done:
break
# Note that the observation on the done=True frame doesn't matter.
max_frame = self._obs_buffer.max(axis=0)
return max_frame, total_reward, done, info
|
python
|
def step(self, action):
"""Repeat action, sum reward, and max over last observations."""
total_reward = 0.0
done = None
for i in range(self._skip):
obs, reward, done, info = self.env.step(action)
if i == self._skip - 2:
self._obs_buffer[0] = obs
if i == self._skip - 1:
self._obs_buffer[1] = obs
total_reward += reward
if done:
break
# Note that the observation on the done=True frame doesn't matter.
max_frame = self._obs_buffer.max(axis=0)
return max_frame, total_reward, done, info
|
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] |
Repeat action, sum reward, and max over last observations.
|
[
"Repeat",
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/gym_utils.py#L62-L77
|
train
|
Repeat action sum reward and max over last observations.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1323 - 1275) + chr(111) + '\063' + '\066' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110110) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(3150 - 3039) + chr(2009 - 1960) + chr(51) + chr(0b100111 + 0o16), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111 + 0o0) + chr(2314 - 2265) + chr(0b110010) + chr(49), 6947 - 6939), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(423 - 370) + chr(1098 - 1045), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(49) + chr(0b101111 + 0o7) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100110 + 0o11) + chr(51) + chr(0b100 + 0o57) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(53) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(2345 - 2292) + '\066', 0o10), ehT0Px3KOsy9(chr(1350 - 1302) + chr(111) + '\062' + chr(54) + '\062', 57158 - 57150), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b111010 + 0o65) + chr(543 - 494) + chr(0b110100) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(51) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110111) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b110101) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b110011) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + chr(0b110111) + chr(0b110100), 34081 - 34073), ehT0Px3KOsy9('\060' + '\157' + chr(0b110100) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + '\x33' + chr(331 - 282) + '\x35', 0b1000), ehT0Px3KOsy9(chr(708 - 660) + chr(111) + chr(49) + chr(717 - 663), ord("\x08")), ehT0Px3KOsy9(chr(1049 - 1001) + chr(10627 - 10516) + chr(0b110100) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010 + 0o145) + chr(51) + chr(50) + chr(0b100 + 0o54), 4401 - 4393), ehT0Px3KOsy9('\x30' + chr(0b100100 + 0o113) + chr(49) + chr(0b110010) + chr(49), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\067' + chr(1772 - 1719), 34347 - 34339), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + chr(50) + chr(2309 - 2258) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(142 - 94) + chr(0b1110 + 0o141) + chr(0b100 + 0o56) + '\066', 53790 - 53782), ehT0Px3KOsy9('\x30' + chr(5131 - 5020) + chr(566 - 515) + chr(0b1110 + 0o45) + chr(0b110100 + 0o1), 45287 - 45279), ehT0Px3KOsy9(chr(261 - 213) + chr(0b111101 + 0o62) + chr(0b110111) + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b101100 + 0o5) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1149 - 1101) + chr(0b1101111) + '\062' + chr(0b100111 + 0o14) + chr(48), 0b1000), ehT0Px3KOsy9(chr(597 - 549) + '\157' + '\x32' + chr(0b110011) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1100101 + 0o12) + chr(2205 - 2156) + chr(0b100010 + 0o23) + chr(1488 - 1439), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10 + 0o57) + chr(0b10010 + 0o40), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b110001) + chr(54), 32634 - 32626), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(54) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x30' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110000 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + '\061' + chr(48), 45982 - 45974), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(55) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(2457 - 2407) + '\062' + chr(0b110101), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(0b101101 + 0o10) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9'), chr(0b1100100) + chr(0b1100101) + chr(0b11101 + 0o106) + chr(0b1101111) + '\144' + chr(0b1000001 + 0o44))(chr(0b100 + 0o161) + '\164' + '\146' + '\x2d' + chr(0b11001 + 0o37)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kDuFsAhEatcU(oVre8I6UXc3b, vyskHDXig6uT):
Xzu5euxuJY7G = 0.0
Ki86oC9WfglU = None
for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x8268\xdd'), chr(0b1100100) + chr(0b1100101) + chr(0b111000 + 0o53) + chr(6539 - 6428) + chr(100) + chr(7527 - 7426))(chr(0b1101010 + 0o13) + chr(0b11010 + 0o132) + chr(102) + '\x2d' + chr(56)))):
(HUAx0lWcwxPP, jEXsEsgeguP4, Ki86oC9WfglU, S7Hxucg7jlZk) = oVre8I6UXc3b.env.kDuFsAhEatcU(vyskHDXig6uT)
if WVxHKyX45z_L == xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x8268\xdd'), chr(0b1001 + 0o133) + chr(0b1010000 + 0o25) + '\x63' + chr(0b1101111) + chr(0b10110 + 0o116) + chr(101))('\165' + '\x74' + chr(7125 - 7023) + chr(0b101 + 0o50) + chr(0b1010 + 0o56))) - ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + chr(0b1001 + 0o51), 0b1000):
oVre8I6UXc3b.hLAvzECMzTU6[ehT0Px3KOsy9(chr(1436 - 1388) + chr(0b1101111) + '\060', 0o10)] = HUAx0lWcwxPP
if WVxHKyX45z_L == xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\x8268\xdd'), chr(0b1010 + 0o132) + chr(0b111 + 0o136) + chr(99) + chr(0b1100111 + 0o10) + chr(100) + chr(0b1100101))(chr(5486 - 5369) + chr(0b10100 + 0o140) + chr(6802 - 6700) + '\x2d' + '\070')) - ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061', 0o10):
oVre8I6UXc3b.hLAvzECMzTU6[ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(0b110001), 8)] = HUAx0lWcwxPP
Xzu5euxuJY7G += jEXsEsgeguP4
if Ki86oC9WfglU:
break
iV_sDFkvMllo = oVre8I6UXc3b._obs_buffer.tsdjvlgh9gDP(axis=ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101010 + 0o6), 8))
return (iV_sDFkvMllo, Xzu5euxuJY7G, Ki86oC9WfglU, S7Hxucg7jlZk)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/all_problems.py
|
_handle_errors
|
def _handle_errors(errors):
"""Log out and possibly reraise errors during import."""
if not errors:
return
log_all = True # pylint: disable=unused-variable
err_msg = "T2T: skipped importing {num_missing} data_generators modules."
print(err_msg.format(num_missing=len(errors)))
for module, err in errors:
err_str = str(err)
if not _is_import_err_msg(err_str, module):
print("From module %s" % module)
raise err
if log_all:
print("Did not import module: %s; Cause: %s" % (module, err_str))
|
python
|
def _handle_errors(errors):
"""Log out and possibly reraise errors during import."""
if not errors:
return
log_all = True # pylint: disable=unused-variable
err_msg = "T2T: skipped importing {num_missing} data_generators modules."
print(err_msg.format(num_missing=len(errors)))
for module, err in errors:
err_str = str(err)
if not _is_import_err_msg(err_str, module):
print("From module %s" % module)
raise err
if log_all:
print("Did not import module: %s; Cause: %s" % (module, err_str))
|
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] |
Log out and possibly reraise errors during import.
|
[
"Log",
"out",
"and",
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"reraise",
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"import",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/all_problems.py#L113-L126
|
train
|
Log out and possibly reraise errors during import.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,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(1756 - 1645) + chr(955 - 906) + '\x33' + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\065' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2230 - 2119) + chr(51) + '\065' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x30' + chr(51), 528 - 520), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\x37' + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(898 - 846) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1100 + 0o47) + '\x33' + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b101 + 0o60) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b1011 + 0o47) + chr(0b101111 + 0o6), 46068 - 46060), ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + '\x36' + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(5959 - 5848) + chr(0b1101 + 0o45) + chr(1973 - 1920) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\x35' + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\x37' + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010 + 0o0) + '\064' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(451 - 402) + chr(0b1111 + 0o42) + chr(0b10101 + 0o34), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + chr(0b100011 + 0o20) + chr(0b110010) + '\065', 8), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(2251 - 2202) + chr(48) + chr(0b10010 + 0o44), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000 + 0o147) + chr(51) + chr(0b11101 + 0o25) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b100001 + 0o116) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b100000 + 0o20) + '\060', 0o10), ehT0Px3KOsy9(chr(911 - 863) + chr(111) + chr(0b110010) + chr(48), 52592 - 52584), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1935 - 1884) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b110110) + chr(0b100010 + 0o17), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + '\x35' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110110 + 0o71) + chr(0b10100 + 0o37) + '\x31' + chr(140 - 85), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(50) + chr(2156 - 2108) + chr(0b1000 + 0o52), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b110000) + chr(349 - 296), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(1602 - 1553) + '\x35', 134 - 126), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\063' + chr(0b1001 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + '\066' + chr(0b10 + 0o60), 51150 - 51142), ehT0Px3KOsy9('\060' + chr(7576 - 7465) + chr(51) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8953 - 8842) + '\061' + chr(51) + chr(651 - 598), 4462 - 4454), ehT0Px3KOsy9(chr(67 - 19) + chr(111) + chr(740 - 689) + chr(55) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000100 + 0o53) + '\x37' + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + '\x30', 44640 - 44632), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b10101 + 0o36) + '\063', 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\x35' + '\x36', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(805 - 755), 3527 - 3519)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(1388 - 1340), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b't'), '\x64' + chr(101) + chr(99) + chr(7691 - 7580) + chr(4972 - 4872) + '\145')(chr(4449 - 4332) + '\164' + chr(102) + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ynnVLfZa0GeN(vrC59GzZXTIL):
if not vrC59GzZXTIL:
return
rFZyrFRuB55X = ehT0Px3KOsy9(chr(1607 - 1559) + chr(0b1101111) + chr(0b1001 + 0o50), 0o10)
olh8dSf6yQho = xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e^\xbdy\xd8T}\xb2]\xa5S\xca\xca\x11\xcc9\xba4\xa1n.w=\x8aA\xba\xef\x9a\xe00Ak4\x95\\M\xfb\xcalv;3\x8e&\x96Bd\xbaY\xbaD\xdd\xca\x15\xce-\xa0*\xb0tn'), chr(6088 - 5988) + chr(0b1100101) + chr(0b10 + 0o141) + chr(0b11101 + 0o122) + chr(0b1100100) + chr(0b1000110 + 0o37))('\x75' + chr(0b1100011 + 0o21) + '\146' + chr(45) + chr(150 - 94))
zLUzGokYBM2Z(xafqLlk3kkUe(olh8dSf6yQho, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0cX\x9b,\xb0FE\xe8}\xa5S\xc4'), '\x64' + chr(0b1100101) + chr(6383 - 6284) + chr(0b1101111) + chr(0b111000 + 0o54) + chr(0b1100101))(chr(4589 - 4472) + chr(116) + '\x66' + chr(1746 - 1701) + chr(56)))(num_missing=c2A0yzQpDQB3(vrC59GzZXTIL)))
for (RqocVGOryNPv, n8HlHl2rqNTp) in vrC59GzZXTIL:
OyFE_HVWONDE = M8_cKLkHVB2V(n8HlHl2rqNTp)
if not udanbnyrA_A_(OyFE_HVWONDE, RqocVGOryNPv):
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\x1e\x86.\xd8Jy\xbfX\xb9S\x8e\xcf\x0b'), '\x64' + chr(7515 - 7414) + chr(395 - 296) + chr(10065 - 9954) + '\144' + chr(0b1100101))(chr(11905 - 11788) + chr(0b1011011 + 0o31) + '\x66' + '\055' + '\070') % RqocVGOryNPv)
raise n8HlHl2rqNTp
if rFZyrFRuB55X:
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\x05\x8dc\x96Hb\xfbD\xb8F\xc1\x98\x0c\x81$\xba"\xa0k%*=\xd4\\\xf4\xa2\x86\xec,A}g\xdb\x1eC'), '\144' + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(7712 - 7612) + '\x65')(chr(4462 - 4345) + chr(0b101000 + 0o114) + chr(0b1100110) + chr(1274 - 1229) + chr(0b101111 + 0o11)) % (RqocVGOryNPv, OyFE_HVWONDE))
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/hparams_lib.py
|
create_hparams
|
def create_hparams(hparams_set,
hparams_overrides_str="",
data_dir=None,
problem_name=None,
hparams_path=None):
"""Create HParams with data_dir and problem hparams, if kwargs provided."""
hparams = registry.hparams(hparams_set)
if hparams_path and tf.gfile.Exists(hparams_path):
hparams = create_hparams_from_json(hparams_path, hparams)
if data_dir:
hparams.add_hparam("data_dir", data_dir)
if hparams_overrides_str:
tf.logging.info("Overriding hparams in %s with %s", hparams_set,
hparams_overrides_str)
hparams = hparams.parse(hparams_overrides_str)
if problem_name:
add_problem_hparams(hparams, problem_name)
return hparams
|
python
|
def create_hparams(hparams_set,
hparams_overrides_str="",
data_dir=None,
problem_name=None,
hparams_path=None):
"""Create HParams with data_dir and problem hparams, if kwargs provided."""
hparams = registry.hparams(hparams_set)
if hparams_path and tf.gfile.Exists(hparams_path):
hparams = create_hparams_from_json(hparams_path, hparams)
if data_dir:
hparams.add_hparam("data_dir", data_dir)
if hparams_overrides_str:
tf.logging.info("Overriding hparams in %s with %s", hparams_set,
hparams_overrides_str)
hparams = hparams.parse(hparams_overrides_str)
if problem_name:
add_problem_hparams(hparams, problem_name)
return hparams
|
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] |
Create HParams with data_dir and problem hparams, if kwargs provided.
|
[
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"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/hparams_lib.py#L42-L59
|
train
|
Create HParams with data_dir and problem hparams.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(48) + chr(362 - 314), 0b1000), ehT0Px3KOsy9('\060' + chr(4661 - 4550) + '\x32' + chr(0b110111) + '\x36', 0o10), ehT0Px3KOsy9(chr(2285 - 2237) + '\x6f' + chr(0b100000 + 0o23) + '\060' + '\x35', 54263 - 54255), ehT0Px3KOsy9(chr(48) + chr(0b1101000 + 0o7) + '\x31' + chr(0b110011) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(774 - 726) + chr(9677 - 9566) + '\062' + '\x32' + chr(2432 - 2378), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(239 - 191) + chr(0b1101111) + '\x33' + chr(124 - 70) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b101011 + 0o11) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(1108 - 1060) + chr(3603 - 3492) + chr(0b110001 + 0o2) + chr(2952 - 2897) + chr(2326 - 2277), 0b1000), ehT0Px3KOsy9(chr(896 - 848) + '\x6f' + chr(0b11011 + 0o26) + chr(0b110010) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + '\x33' + chr(0b110010) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\066' + '\x37', 27057 - 27049), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + chr(54) + chr(649 - 598), 15414 - 15406), ehT0Px3KOsy9(chr(594 - 546) + chr(645 - 534) + chr(0b10100 + 0o35) + chr(324 - 271) + chr(54), 35919 - 35911), ehT0Px3KOsy9(chr(1360 - 1312) + chr(10394 - 10283) + chr(2228 - 2177) + '\063' + chr(55), 6519 - 6511), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10101 + 0o36) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110110) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + '\x32' + chr(49) + chr(0b110000), 6962 - 6954), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\x37' + chr(870 - 819), 0o10), ehT0Px3KOsy9(chr(953 - 905) + '\x6f' + chr(0b110001) + chr(0b110011) + chr(0b101000 + 0o12), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b110001) + chr(0b1010 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + '\x32' + chr(53) + chr(0b110110), 55208 - 55200), ehT0Px3KOsy9('\x30' + chr(11434 - 11323) + chr(50) + '\063' + chr(0b100100 + 0o14), 63260 - 63252), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(2409 - 2355) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(479 - 425), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(1899 - 1848) + '\x32', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(54) + chr(0b111 + 0o52), 0b1000), ehT0Px3KOsy9(chr(1991 - 1943) + chr(0b1100001 + 0o16) + chr(2296 - 2247) + '\x33' + chr(0b11100 + 0o30), 8), ehT0Px3KOsy9(chr(1194 - 1146) + '\x6f' + chr(49) + chr(50) + chr(421 - 371), 0b1000), ehT0Px3KOsy9('\060' + chr(6719 - 6608) + '\064' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(0b110101) + chr(2227 - 2178), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(50) + chr(2566 - 2515) + chr(2323 - 2269), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(2153 - 2104) + chr(53), 38029 - 38021), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100001 + 0o26) + '\x37', 0o10), ehT0Px3KOsy9(chr(547 - 499) + '\x6f' + chr(0b10111 + 0o33) + '\061' + chr(53), 8), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(10839 - 10728) + '\067' + chr(1172 - 1124), 27009 - 27001), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(746 - 695) + chr(0b1000 + 0o50) + '\x33', 34813 - 34805), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(113 - 62) + chr(470 - 416), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1452 - 1404) + chr(0b1101111) + chr(53) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'n'), chr(0b1100100) + chr(0b1100101) + chr(0b110001 + 0o62) + chr(111) + chr(0b11000 + 0o114) + chr(101))(chr(1089 - 972) + '\164' + '\146' + '\055' + chr(0b100010 + 0o26)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FPakHinFMgZb(EoFZz4ccL1aJ, WDgBnaLoaFAl=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(100) + chr(0b1100101) + '\143' + chr(111) + chr(0b1000111 + 0o35) + '\x65')(chr(117) + chr(116) + chr(0b100 + 0o142) + chr(45) + chr(892 - 836)), kVFRD544hi_1=None, wezGpYDorAsK=None, TNoWNk9tqizq=None):
n4ljua2gi1Pr = U24OBsRcVqkJ.hparams(EoFZz4ccL1aJ)
if TNoWNk9tqizq and xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xc6\xac/\xe2q'), chr(3457 - 3357) + chr(0b1100010 + 0o3) + chr(99) + '\157' + '\x64' + chr(0b1100101))(chr(0b101110 + 0o107) + chr(9016 - 8900) + chr(4155 - 4053) + '\055' + chr(0b101 + 0o63)))(TNoWNk9tqizq):
n4ljua2gi1Pr = mZV901WVGadF(TNoWNk9tqizq, n4ljua2gi1Pr)
if kVFRD544hi_1:
xafqLlk3kkUe(n4ljua2gi1Pr, xafqLlk3kkUe(SXOLrMavuUCe(b'!\xda\xa1\x03\xfer\x90\xd0\x98>'), chr(159 - 59) + '\145' + chr(99) + '\x6f' + '\144' + '\x65')(chr(12576 - 12459) + chr(116) + chr(102) + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'$\xdf\xb1=\xc9f\x98\xd0'), chr(0b1010 + 0o132) + '\145' + '\x63' + chr(0b0 + 0o157) + chr(0b1100100) + chr(3117 - 3016))(chr(0b1110101) + '\164' + chr(0b1100110) + '\055' + chr(56)), kVFRD544hi_1)
if WDgBnaLoaFAl:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\x89\x8d$\xe3a\x96\x95\x93?\x8b\xdc'), '\x64' + chr(0b10100 + 0o121) + '\x63' + chr(111) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1101000 + 0o14) + chr(0b1100110) + chr(45) + chr(0b101001 + 0o17)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f\xc8\xa0.\xe4k\x95\xcb\x974\xf1\xdfC\x0f\xadz\x1b\xfb\xdb3\xe2\x8e\xbd\xc1.j\xf3E4r\x05Z'), chr(0b1010111 + 0o15) + chr(0b110110 + 0o57) + chr(0b110 + 0o135) + '\157' + chr(0b1100100) + chr(101))('\165' + chr(0b110101 + 0o77) + chr(102) + chr(1137 - 1092) + chr(0b111000)), EoFZz4ccL1aJ, WDgBnaLoaFAl)
n4ljua2gi1Pr = n4ljua2gi1Pr.parse(WDgBnaLoaFAl)
if wezGpYDorAsK:
VNgGitn5Onxw(n4ljua2gi1Pr, wezGpYDorAsK)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/hparams_lib.py
|
create_hparams_from_json
|
def create_hparams_from_json(json_path, hparams=None):
"""Loading hparams from json; can also start from hparams if specified."""
tf.logging.info("Loading hparams from existing json %s" % json_path)
with tf.gfile.Open(json_path, "r") as f:
hparams_values = json.load(f)
# Prevent certain keys from overwriting the passed-in hparams.
# TODO(trandustin): Remove this hack after registries are available to avoid
# saving them as functions.
hparams_values.pop("bottom", None)
hparams_values.pop("loss", None)
hparams_values.pop("name", None)
hparams_values.pop("top", None)
hparams_values.pop("weights_fn", None)
new_hparams = hparam.HParams(**hparams_values)
# Some keys are in new_hparams but not hparams, so we need to be more
# careful than simply using parse_json() from HParams
if hparams: # hparams specified, so update values from json
for key in sorted(new_hparams.values().keys()):
if hasattr(hparams, key): # Overlapped keys
value = getattr(hparams, key)
new_value = getattr(new_hparams, key)
if value != new_value: # Different values
tf.logging.info("Overwrite key %s: %s -> %s" % (
key, value, new_value))
setattr(hparams, key, new_value)
else:
hparams = new_hparams
return hparams
|
python
|
def create_hparams_from_json(json_path, hparams=None):
"""Loading hparams from json; can also start from hparams if specified."""
tf.logging.info("Loading hparams from existing json %s" % json_path)
with tf.gfile.Open(json_path, "r") as f:
hparams_values = json.load(f)
# Prevent certain keys from overwriting the passed-in hparams.
# TODO(trandustin): Remove this hack after registries are available to avoid
# saving them as functions.
hparams_values.pop("bottom", None)
hparams_values.pop("loss", None)
hparams_values.pop("name", None)
hparams_values.pop("top", None)
hparams_values.pop("weights_fn", None)
new_hparams = hparam.HParams(**hparams_values)
# Some keys are in new_hparams but not hparams, so we need to be more
# careful than simply using parse_json() from HParams
if hparams: # hparams specified, so update values from json
for key in sorted(new_hparams.values().keys()):
if hasattr(hparams, key): # Overlapped keys
value = getattr(hparams, key)
new_value = getattr(new_hparams, key)
if value != new_value: # Different values
tf.logging.info("Overwrite key %s: %s -> %s" % (
key, value, new_value))
setattr(hparams, key, new_value)
else:
hparams = new_hparams
return hparams
|
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] |
Loading hparams from json; can also start from hparams if specified.
|
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/hparams_lib.py#L62-L90
|
train
|
Load hparams from json file.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2163 - 2115) + '\x6f' + chr(2486 - 2435) + chr(0b110011) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + chr(0b101100 + 0o7) + chr(51) + chr(0b110100), 8), ehT0Px3KOsy9('\x30' + chr(11789 - 11678) + chr(953 - 899) + chr(0b1011 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\x35' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1561 - 1512) + '\x31' + chr(0b101000 + 0o15), 15064 - 15056), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b110010) + '\x37' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(0b10010 + 0o43) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(8905 - 8794) + chr(0b110010) + chr(145 - 96) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11000 + 0o32) + '\x36' + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(3945 - 3834) + chr(0b110011) + chr(0b10111 + 0o40), 50703 - 50695), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(54) + chr(0b101000 + 0o10), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b110010 + 0o0) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1659 - 1609) + '\x36' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(0b101100 + 0o5) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100000 + 0o22) + chr(104 - 56), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + '\063' + chr(55) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b10 + 0o64) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2074 - 2025) + '\064' + chr(0b110000), 11203 - 11195), ehT0Px3KOsy9(chr(0b110000) + chr(8995 - 8884) + '\x31' + chr(0b110100) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(442 - 394) + chr(9153 - 9042) + chr(49) + '\067' + chr(0b100101 + 0o13), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + '\061' + '\x32' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1233 - 1184) + '\x37' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11100 + 0o123) + '\061' + chr(0b1110 + 0o51) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(51) + chr(0b110010) + chr(2893 - 2839), 0b1000), ehT0Px3KOsy9('\060' + chr(4443 - 4332) + chr(0b110100) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110011) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101011 + 0o4) + chr(1770 - 1721) + '\060' + chr(51), 42044 - 42036), ehT0Px3KOsy9(chr(613 - 565) + '\157' + chr(50) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b1000 + 0o52) + '\x34' + '\x30', 13701 - 13693), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10101 + 0o36) + chr(0b110000) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b101111 + 0o3) + chr(484 - 434), 8), ehT0Px3KOsy9(chr(1692 - 1644) + chr(5304 - 5193) + chr(1021 - 970) + chr(0b11011 + 0o25) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(438 - 385) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(469 - 418) + chr(0b101001 + 0o11) + chr(0b100011 + 0o21), 0b1000), ehT0Px3KOsy9(chr(1407 - 1359) + '\157' + chr(49) + chr(477 - 423) + chr(0b100110 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b10010 + 0o40) + chr(411 - 358), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1674 - 1625) + '\060' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\060' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101110 + 0o3) + chr(0b110011) + '\063', 10727 - 10719), ehT0Px3KOsy9('\x30' + chr(10923 - 10812) + chr(0b100111 + 0o14) + chr(53) + '\067', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(391 - 338) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2'), chr(8414 - 8314) + chr(101) + '\143' + chr(111) + chr(0b1100100) + '\145')(chr(117) + chr(0b1110100) + chr(9507 - 9405) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def mZV901WVGadF(Ie9ycawdW6iV, n4ljua2gi1Pr=None):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xeb|\x928\xdfL\xbf\xdas*\xba'), chr(0b10111 + 0o115) + chr(101) + chr(7001 - 6902) + chr(0b1100110 + 0o11) + '\x64' + '\x65')(chr(117) + chr(2478 - 2362) + chr(0b11100 + 0o112) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\xb3U\x8e$\xd2L\xa8\xd8o\x11\xa3\xd5gc\xdb\xd3\x12\x0e\x15r\x1c\x03\xbfW\xae*z\xc7\xe48\xb4\x03\xbaR\xb04'), chr(9326 - 9226) + '\x65' + chr(4130 - 4031) + '\157' + chr(100) + chr(9339 - 9238))(chr(0b1110101) + chr(5813 - 5697) + chr(0b100111 + 0o77) + chr(0b101101) + chr(0b1101 + 0o53)) % Ie9ycawdW6iV)
with xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\x93\xacQ\x84'), chr(100) + chr(0b1100101) + chr(0b11111 + 0o104) + chr(9762 - 9651) + chr(100) + '\x65')(chr(0b1110101) + chr(116) + chr(0b1000011 + 0o43) + chr(198 - 153) + chr(1071 - 1015)))(Ie9ycawdW6iV, xafqLlk3kkUe(SXOLrMavuUCe(b'\xae'), chr(100) + chr(1121 - 1020) + chr(3325 - 3226) + '\157' + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(116) + '\x66' + chr(0b101101) + '\x38')) as EGyt1xfPT1P6:
Rb2NqCXlkhWZ = fXk443epxtd5.mxtdQMeiwJZJ(EGyt1xfPT1P6)
xafqLlk3kkUe(Rb2NqCXlkhWZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\xb3D'), chr(0b1100100) + chr(101) + '\143' + '\x6f' + '\x64' + '\x65')(chr(117) + '\x74' + '\x66' + chr(224 - 179) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\xb3@\x9e"\xd1'), chr(2585 - 2485) + '\145' + '\x63' + chr(111) + chr(100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + chr(1004 - 959) + '\x38'), None)
xafqLlk3kkUe(Rb2NqCXlkhWZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\xb3D'), chr(1024 - 924) + chr(0b100110 + 0o77) + chr(6494 - 6395) + chr(0b110011 + 0o74) + '\x64' + '\x65')('\x75' + chr(0b111000 + 0o74) + '\146' + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\xb3G\x99'), chr(0b1100100) + chr(0b111000 + 0o55) + '\x63' + chr(5697 - 5586) + chr(0b1100100) + chr(101))('\x75' + '\x74' + chr(132 - 30) + chr(0b101101) + '\070'), None)
xafqLlk3kkUe(Rb2NqCXlkhWZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\xb3D'), chr(9053 - 8953) + chr(101) + '\x63' + chr(6036 - 5925) + '\x64' + chr(101))(chr(0b1100100 + 0o21) + chr(10378 - 10262) + '\x66' + '\055' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\xbdY\x8f'), chr(0b1001001 + 0o33) + chr(101) + chr(0b1110 + 0o125) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1001011 + 0o52) + chr(0b11110 + 0o126) + '\x66' + chr(45) + '\x38'), None)
xafqLlk3kkUe(Rb2NqCXlkhWZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\xb3D'), chr(2651 - 2551) + '\145' + chr(0b101001 + 0o72) + '\157' + chr(0b1000011 + 0o41) + '\x65')('\x75' + chr(0b110101 + 0o77) + chr(9100 - 8998) + chr(0b101101) + chr(0b110100 + 0o4)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8\xb3D'), chr(0b111001 + 0o53) + chr(0b100010 + 0o103) + chr(99) + '\157' + chr(0b1011100 + 0o10) + chr(0b10001 + 0o124))('\165' + chr(116) + chr(6978 - 6876) + chr(1375 - 1330) + '\070'), None)
xafqLlk3kkUe(Rb2NqCXlkhWZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\xb3D'), '\144' + '\x65' + '\143' + '\x6f' + chr(4721 - 4621) + '\145')(chr(117) + chr(0b1000101 + 0o57) + chr(0b1100110) + chr(45) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xb9]\x8d%\xc8X\xd7\xd6q'), '\x64' + chr(101) + chr(99) + '\157' + '\144' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b111010 + 0o54) + '\x2d' + chr(575 - 519)), None)
f5ElP0H04QK4 = guRGmljwUVnc.HParams(**Rb2NqCXlkhWZ)
if n4ljua2gi1Pr:
for K3J4ZwSlE0sT in vUlqIvNSaRMa(xafqLlk3kkUe(f5ElP0H04QK4.values(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xb9M\x99'), chr(0b111110 + 0o46) + chr(101) + '\x63' + '\157' + '\144' + chr(0b11101 + 0o110))(chr(2600 - 2483) + '\x74' + chr(1058 - 956) + chr(45) + '\070'))()):
if lot1PSoAwYhj(n4ljua2gi1Pr, K3J4ZwSlE0sT):
QmmgWUB13VCJ = xafqLlk3kkUe(n4ljua2gi1Pr, K3J4ZwSlE0sT)
Mi65arwcIK66 = xafqLlk3kkUe(f5ElP0H04QK4, K3J4ZwSlE0sT)
if QmmgWUB13VCJ != Mi65arwcIK66:
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xeb|\x928\xdfL\xbf\xdas*\xba'), chr(0b100 + 0o140) + chr(0b1100101) + chr(6056 - 5957) + chr(7926 - 7815) + chr(0b1001001 + 0o33) + chr(101))(chr(1076 - 959) + chr(116) + chr(0b11000 + 0o116) + '\055' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x93\xaaQ\x98:\xceB\xfc\xd5?\x1b\xb4\xcd*5\x88\x8f@D\x0brTE\xf6\x01\xa9'), chr(4618 - 4518) + chr(101) + '\x63' + chr(0b111101 + 0o62) + chr(100) + '\145')(chr(117) + '\164' + chr(7282 - 7180) + chr(45) + '\070') % (K3J4ZwSlE0sT, QmmgWUB13VCJ, Mi65arwcIK66))
t0rOMsrOC7R_(n4ljua2gi1Pr, K3J4ZwSlE0sT, Mi65arwcIK66)
else:
n4ljua2gi1Pr = f5ElP0H04QK4
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/utils/hparams_lib.py
|
add_problem_hparams
|
def add_problem_hparams(hparams, problem_name_or_instance):
"""Add problem hparams for the problems."""
if isinstance(problem_name_or_instance, problem_lib.Problem):
problem = problem_name_or_instance
else:
problem = registry.problem(problem_name_or_instance)
p_hparams = problem.get_hparams(hparams)
hparams.problem = problem
hparams.problem_hparams = p_hparams
|
python
|
def add_problem_hparams(hparams, problem_name_or_instance):
"""Add problem hparams for the problems."""
if isinstance(problem_name_or_instance, problem_lib.Problem):
problem = problem_name_or_instance
else:
problem = registry.problem(problem_name_or_instance)
p_hparams = problem.get_hparams(hparams)
hparams.problem = problem
hparams.problem_hparams = p_hparams
|
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] |
Add problem hparams for the problems.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/hparams_lib.py#L93-L101
|
train
|
Add problem hparams for the 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(0b110000 + 0o0) + chr(4634 - 4523) + '\063' + chr(0b110110) + chr(0b10001 + 0o40), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + '\x31' + '\x35' + chr(1609 - 1559), 28128 - 28120), ehT0Px3KOsy9('\060' + '\157' + chr(65 - 14) + '\x32' + '\x30', 4623 - 4615), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1010 + 0o55) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1001101 + 0o42) + '\x33' + '\x33' + '\x37', 0b1000), ehT0Px3KOsy9(chr(271 - 223) + chr(0b1101111) + '\062' + chr(0b101010 + 0o14) + chr(294 - 239), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(1616 - 1564) + chr(0b100100 + 0o15), 26550 - 26542), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101101 + 0o2) + chr(0b110101) + chr(512 - 458), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + '\063' + chr(0b10111 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(1388 - 1338) + '\060', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(564 - 514) + chr(49) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110111), 54406 - 54398), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(52) + chr(0b11011 + 0o25), 0b1000), ehT0Px3KOsy9(chr(1791 - 1743) + chr(0b1101111) + '\x31' + '\066' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1833 - 1783) + chr(0b110000) + chr(0b100011 + 0o21), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\065' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110101) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11001 + 0o32) + chr(371 - 319), 0b1000), ehT0Px3KOsy9('\x30' + chr(11793 - 11682) + chr(0b110001), 33733 - 33725), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\x37' + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(50) + chr(52), 3048 - 3040), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\x36' + '\x30', 10357 - 10349), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(55) + chr(0b1100 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1001010 + 0o45) + chr(0b110011) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b10111 + 0o33) + '\x31', 0b1000), ehT0Px3KOsy9(chr(365 - 317) + '\x6f' + '\061' + '\066' + chr(0b110000), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010 + 0o1) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(319 - 271) + '\x6f' + chr(0b100100 + 0o17) + chr(0b1 + 0o66) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2023 - 1973) + chr(0b110100) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + chr(51) + chr(54) + chr(0b110011), 40509 - 40501), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(5713 - 5602) + '\061' + chr(719 - 667) + '\x34', 36809 - 36801), ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + chr(676 - 625) + chr(2473 - 2421) + '\x31', 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(3001 - 2946) + chr(1154 - 1106), 0b1000), ehT0Px3KOsy9(chr(1271 - 1223) + '\x6f' + '\x33' + chr(0b110110) + chr(1911 - 1861), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(250 - 200) + chr(55) + chr(0b101011 + 0o6), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\065' + chr(0b1010 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(2226 - 2178) + chr(0b1101111) + '\x31' + chr(2713 - 2660), ord("\x08")), ehT0Px3KOsy9(chr(470 - 422) + chr(0b1101111) + '\x32' + chr(0b101010 + 0o10) + chr(0b1111 + 0o45), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + '\065' + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf'), '\144' + chr(101) + '\143' + '\157' + chr(9380 - 9280) + '\145')(chr(13613 - 13496) + '\x74' + '\x66' + chr(0b101100 + 0o1) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VNgGitn5Onxw(n4ljua2gi1Pr, fA28FgSLhP9x):
if PlSM16l2KDPD(fA28FgSLhP9x, xafqLlk3kkUe(OcGfgf09xxxc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\x18\xbfX\xb3\xd2\x8c'), '\144' + '\145' + '\x63' + chr(5093 - 4982) + chr(0b1011010 + 0o12) + chr(0b1100001 + 0o4))('\165' + '\x74' + '\x66' + '\x2d' + '\070'))):
sO7e1A_Mor6Q = fA28FgSLhP9x
else:
sO7e1A_Mor6Q = U24OBsRcVqkJ.problem(fA28FgSLhP9x)
bb9KhnGWdDAt = sO7e1A_Mor6Q.get_hparams(n4ljua2gi1Pr)
n4ljua2gi1Pr.sO7e1A_Mor6Q = sO7e1A_Mor6Q
n4ljua2gi1Pr.sXqesioLf7Ji = bb9KhnGWdDAt
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/subject_verb_agreement.py
|
load_examples
|
def load_examples(tmp_dir, prop_train=0.09, prop_val=0.01):
"""Loads exampls from the tsv file.
Args:
tmp_dir: temp directory.
prop_train: proportion of the train data
prop_val: proportion of the validation data
Returns:
All examples in the dataset pluse train, test, and development splits.
"""
infile = generator_utils.maybe_download(tmp_dir, _TAR, _URL)
tf.logging.info('Loading examples')
all_examples = []
for i, d in enumerate(csv.DictReader(gzip.open(infile), delimiter='\t')):
if i % 100000 == 0:
tf.logging.info('%d examples have been loaded....' % i)
ex = {x: int(y) if y.isdigit() else y for x, y in d.items()}
all_examples.append(ex)
random.seed(1)
random.shuffle(all_examples)
n_train = int(len(all_examples) * prop_train)
n_val = n_train + int(len(all_examples) * prop_val)
train = all_examples[:n_train]
val = all_examples[n_train:n_val]
test = []
for e in all_examples[n_val:]:
if e['n_intervening'] == e['n_diff_intervening']:
test.append(e)
return all_examples, train, val, test
|
python
|
def load_examples(tmp_dir, prop_train=0.09, prop_val=0.01):
"""Loads exampls from the tsv file.
Args:
tmp_dir: temp directory.
prop_train: proportion of the train data
prop_val: proportion of the validation data
Returns:
All examples in the dataset pluse train, test, and development splits.
"""
infile = generator_utils.maybe_download(tmp_dir, _TAR, _URL)
tf.logging.info('Loading examples')
all_examples = []
for i, d in enumerate(csv.DictReader(gzip.open(infile), delimiter='\t')):
if i % 100000 == 0:
tf.logging.info('%d examples have been loaded....' % i)
ex = {x: int(y) if y.isdigit() else y for x, y in d.items()}
all_examples.append(ex)
random.seed(1)
random.shuffle(all_examples)
n_train = int(len(all_examples) * prop_train)
n_val = n_train + int(len(all_examples) * prop_val)
train = all_examples[:n_train]
val = all_examples[n_train:n_val]
test = []
for e in all_examples[n_val:]:
if e['n_intervening'] == e['n_diff_intervening']:
test.append(e)
return all_examples, train, val, test
|
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Loads exampls from the tsv file.
Args:
tmp_dir: temp directory.
prop_train: proportion of the train data
prop_val: proportion of the validation data
Returns:
All examples in the dataset pluse train, test, and development splits.
|
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272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/subject_verb_agreement.py#L77-L111
|
train
|
Loads examples from the tsv file.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100000 + 0o23) + '\063' + chr(0b100000 + 0o20), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010010 + 0o35) + '\062' + chr(0b110010) + '\x35', 13944 - 13936), ehT0Px3KOsy9(chr(1449 - 1401) + '\x6f' + chr(0b1001 + 0o53) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b110 + 0o57) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(1350 - 1295) + chr(0b110101), 51762 - 51754), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + chr(49) + chr(1527 - 1474) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(0b110001) + chr(0b1001 + 0o52), 9129 - 9121), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b110 + 0o151) + '\061' + chr(52) + chr(123 - 71), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(55) + chr(1506 - 1455), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100001 + 0o22) + chr(49) + chr(479 - 424), ord("\x08")), ehT0Px3KOsy9(chr(262 - 214) + chr(2686 - 2575) + chr(1816 - 1765) + chr(0b101101 + 0o6) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(12165 - 12054) + chr(0b110011) + chr(1641 - 1589) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b110001 + 0o0) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(0b1001 + 0o50) + chr(0b110110) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(616 - 568) + chr(0b10110 + 0o41), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(2085 - 2032) + chr(741 - 687), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11011 + 0o30) + chr(0b1111 + 0o45) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(11534 - 11423) + '\061' + '\066', 8537 - 8529), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(55) + chr(0b101101 + 0o10), 0b1000), ehT0Px3KOsy9(chr(915 - 867) + chr(0b1101111) + chr(49) + chr(1735 - 1684), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(265 - 214) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000011 + 0o54) + chr(0b10111 + 0o33) + '\x30' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110011 + 0o74) + chr(50) + chr(0b101100 + 0o5) + chr(0b10011 + 0o36), 8), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(939 - 887) + '\064', 26 - 18), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(49) + chr(0b110011) + chr(0b101101 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5979 - 5868) + chr(49) + chr(0b110000) + chr(0b11010 + 0o34), 0b1000), ehT0Px3KOsy9(chr(419 - 371) + chr(111) + chr(986 - 936) + '\061' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(54) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6756 - 6645) + '\062' + '\x30' + chr(0b10011 + 0o42), 5107 - 5099), ehT0Px3KOsy9(chr(651 - 603) + chr(0b1101111) + '\065' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2279 - 2168) + chr(0b10011 + 0o36) + chr(0b100011 + 0o16) + chr(48), 4190 - 4182), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(49) + chr(0b11000 + 0o31) + chr(0b110011), 8), ehT0Px3KOsy9(chr(718 - 670) + '\157' + chr(0b110011) + chr(52) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2691 - 2580) + chr(0b110010) + chr(48) + '\065', 8), ehT0Px3KOsy9(chr(1662 - 1614) + '\x6f' + chr(1372 - 1321) + '\x33' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(55) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(11989 - 11878) + chr(328 - 279) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(0b11100 + 0o33) + chr(1747 - 1694), ord("\x08")), ehT0Px3KOsy9(chr(1121 - 1073) + chr(9052 - 8941) + chr(49) + '\x34' + chr(0b101101 + 0o6), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + chr(345 - 297), 61675 - 61667)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b101 + 0o152) + '\x64' + chr(1204 - 1103))(chr(0b1110101) + chr(116) + chr(0b1100011 + 0o3) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def O9qIlz0PdYGF(JsZ36NJUqtml, Pk5sfQaLb8kj=0.09, BKJb5UkSJ4HR=0.01):
_ooPzo7FtguO = g1Z_RG9zP4cD.maybe_download(JsZ36NJUqtml, DXlWGvg_vaIv, pCCmpnhZPmGO)
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\xa2h\x97\xc8\x0f,SQ\xa3\x82\x8f'), '\144' + chr(101) + '\143' + '\157' + '\x64' + chr(0b1000110 + 0o37))('\165' + '\x74' + '\x66' + chr(0b100010 + 0o13) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x94\xfaA\x8b\xd4\x02,D^\xb7\xb9\x89\xf9\x1a{4'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(5997 - 5886) + '\144' + chr(5209 - 5108))(chr(0b111000 + 0o75) + '\x74' + '\x66' + '\x2d' + '\070'))
OPZlpLcFFvT6 = []
for (WVxHKyX45z_L, pd3lxn9vqWxp) in YlkZvXL8qwsX(xafqLlk3kkUe(CU5kosqFIwDx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xfcC\x9b\xef\t*\x00^\xbd'), '\144' + chr(6932 - 6831) + chr(0b1001111 + 0o24) + '\157' + chr(4175 - 4075) + chr(0b101011 + 0o72))(chr(0b1110101) + chr(0b1100100 + 0o20) + chr(0b1100110) + chr(45) + chr(56)))(xafqLlk3kkUe(Sl9BQg7umixy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7\xe5E\x81'), '\144' + chr(0b1100101) + chr(7050 - 6951) + '\x6f' + chr(0b1100100) + '\145')(chr(9968 - 9851) + '\164' + chr(102) + chr(45) + chr(0b111000)))(_ooPzo7FtguO), delimiter=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1010101 + 0o17) + chr(0b1100101))(chr(0b1001001 + 0o54) + chr(0b101100 + 0o110) + chr(102) + chr(194 - 149) + chr(0b111000)))):
if WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b100 + 0o57) + '\x30' + chr(0b110011) + chr(308 - 258) + chr(0b1111 + 0o45) + '\x30', 0o10) == ehT0Px3KOsy9(chr(48) + '\157' + chr(48), 0o10):
xafqLlk3kkUe(IDJ2eXGCBCDu.logging, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\xa2h\x97\xc8\x0f,SQ\xa3\x82\x8f'), '\144' + chr(101) + '\143' + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(10042 - 9925) + '\x74' + chr(1374 - 1272) + chr(0b101 + 0o50) + chr(0b10100 + 0o44)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd\xf1\x00\x8a\xc5\r&\x14W\xaa\xab\xc4\xe1\x17h"\xce\x84k\x18e9\xe8\xe6E?#\xee\x1b\xab\x07f'), chr(100) + chr(0b10111 + 0o116) + '\x63' + '\157' + chr(100) + chr(6107 - 6006))(chr(0b110010 + 0o103) + chr(0b1010101 + 0o37) + chr(5795 - 5693) + chr(0b101101) + chr(468 - 412)) % WVxHKyX45z_L)
DfdhY28yEwAF = {OeWW0F1dBPRQ: ehT0Px3KOsy9(SqiSOtYOqOJH) if SqiSOtYOqOJH.isdigit() else SqiSOtYOqOJH for (OeWW0F1dBPRQ, SqiSOtYOqOJH) in pd3lxn9vqWxp.NzveIZ3IlSH9()}
xafqLlk3kkUe(OPZlpLcFFvT6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xe5P\x8a\xd3\x08'), '\x64' + '\x65' + chr(0b111 + 0o134) + chr(111) + chr(0b1000 + 0o134) + chr(0b1100101))('\x75' + chr(116) + chr(102) + '\x2d' + chr(0b1011 + 0o55)))(DfdhY28yEwAF)
xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xf0E\x8b'), chr(0b1001100 + 0o30) + chr(0b1010011 + 0o22) + chr(99) + '\x6f' + '\x64' + '\x65')('\x75' + chr(7210 - 7094) + chr(0b10010 + 0o124) + chr(0b101101) + chr(2243 - 2187)))(ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + chr(0b1101 + 0o44), ord("\x08")))
xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\xfdU\x89\xdb\x00.'), chr(0b1100100) + '\145' + chr(99) + '\x6f' + '\x64' + chr(0b1100101))(chr(0b1001101 + 0o50) + '\x74' + '\x66' + chr(0b100001 + 0o14) + chr(0b111000)))(OPZlpLcFFvT6)
po2sAwtXwdWz = ehT0Px3KOsy9(c2A0yzQpDQB3(OPZlpLcFFvT6) * Pk5sfQaLb8kj)
t86joUZyDhJ_ = po2sAwtXwdWz + ehT0Px3KOsy9(c2A0yzQpDQB3(OPZlpLcFFvT6) * BKJb5UkSJ4HR)
e80gRioCjdat = OPZlpLcFFvT6[:po2sAwtXwdWz]
pQxH2D_k9sXQ = OPZlpLcFFvT6[po2sAwtXwdWz:t86joUZyDhJ_]
o1nnuQUCchP4 = []
for GlnVAPeT6CUe in OPZlpLcFFvT6[t86joUZyDhJ_:]:
if GlnVAPeT6CUe[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6\xcaI\x81\xc9\t9\x12^\xa1\xb1\x8a\xee'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(7805 - 7688) + chr(10854 - 10738) + '\146' + chr(0b101101) + '\x38')] == GlnVAPeT6CUe[xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6\xcaD\x86\xdb\n\x14\rU\xbb\xbd\x96\xff\x13p.\x80\x81'), '\144' + chr(0b1100101) + chr(99) + chr(5381 - 5270) + chr(0b1100100) + chr(2493 - 2392))(chr(0b1110101) + chr(0b11101 + 0o127) + '\146' + chr(45) + chr(56))]:
xafqLlk3kkUe(o1nnuQUCchP4, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xe5P\x8a\xd3\x08'), chr(0b1000011 + 0o41) + chr(101) + chr(0b1100011) + chr(111) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + '\x38'))(GlnVAPeT6CUe)
return (OPZlpLcFFvT6, e80gRioCjdat, pQxH2D_k9sXQ, o1nnuQUCchP4)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/cifar.py
|
_get_cifar
|
def _get_cifar(directory, url):
"""Download and extract CIFAR to directory unless it is there."""
filename = os.path.basename(url)
path = generator_utils.maybe_download(directory, filename, url)
tarfile.open(path, "r:gz").extractall(directory)
|
python
|
def _get_cifar(directory, url):
"""Download and extract CIFAR to directory unless it is there."""
filename = os.path.basename(url)
path = generator_utils.maybe_download(directory, filename, url)
tarfile.open(path, "r:gz").extractall(directory)
|
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] |
Download and extract CIFAR to directory unless it is there.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/cifar.py#L55-L59
|
train
|
Download and extract CIFAR 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(1194 - 1146) + chr(0b1101111) + '\063' + '\062' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3176 - 3065) + chr(0b11001 + 0o31) + chr(0b110110) + chr(0b1111 + 0o43), 65376 - 65368), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(48) + chr(2031 - 1978), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1000010 + 0o55) + chr(0b10100 + 0o37) + chr(49) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + '\065' + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100100 + 0o13) + chr(0b10110 + 0o35) + chr(757 - 705) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1337 - 1288) + chr(49) + '\x37', 62854 - 62846), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101100 + 0o3) + chr(242 - 193) + chr(0b10 + 0o62) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(122 - 71) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1092 - 1044) + '\x6f' + chr(50) + chr(0b101011 + 0o10) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(0b110001) + '\066' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(53) + chr(1507 - 1452), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(55) + chr(0b1011 + 0o47), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b10 + 0o61) + chr(0b110000), 59377 - 59369), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(1554 - 1505) + chr(0b110111) + '\x37', 46921 - 46913), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(49) + chr(49) + chr(53), 42099 - 42091), ehT0Px3KOsy9('\060' + chr(5530 - 5419) + chr(0b110010) + chr(0b10 + 0o56) + chr(0b100111 + 0o14), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6974 - 6863) + chr(51) + chr(0b110111) + chr(0b110110 + 0o0), 681 - 673), ehT0Px3KOsy9(chr(48) + chr(6904 - 6793) + '\061' + chr(52) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(11282 - 11171) + '\063' + '\x35' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1240 - 1191) + '\x37' + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(7469 - 7358) + chr(0b110010) + chr(2330 - 2277) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b0 + 0o157) + chr(2342 - 2292) + chr(50) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(1694 - 1645) + chr(0b110111) + chr(1085 - 1034), 39201 - 39193), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + chr(470 - 417), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1 + 0o156) + '\x33' + chr(1528 - 1478) + '\061', 14426 - 14418), ehT0Px3KOsy9(chr(2188 - 2140) + '\157' + '\062' + chr(0b110101) + chr(2391 - 2340), 38105 - 38097), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(527 - 475) + chr(1230 - 1182), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b11110 + 0o121) + chr(2538 - 2483) + chr(0b110010), 35269 - 35261), ehT0Px3KOsy9(chr(562 - 514) + chr(0b101110 + 0o101) + chr(49) + '\067' + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b110101) + chr(0b110110), 27107 - 27099), ehT0Px3KOsy9(chr(507 - 459) + chr(288 - 177) + chr(661 - 612) + chr(50) + chr(471 - 422), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(1406 - 1357) + chr(51) + chr(1785 - 1730), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1010 + 0o145) + chr(0b1010 + 0o50) + chr(53) + chr(51), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110001) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(0b1000 + 0o53) + '\x30' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + chr(0b110001) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11011 + 0o26) + chr(0b110100) + chr(0b100101 + 0o13), 26500 - 26492), ehT0Px3KOsy9(chr(1281 - 1233) + '\x6f' + '\061' + chr(2020 - 1968) + chr(0b110011), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1566 - 1518) + chr(0b1000 + 0o147) + '\x35' + chr(0b110000), 40841 - 40833)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd'), chr(100) + '\x65' + chr(99) + chr(111) + chr(0b1100100) + chr(101))('\x75' + chr(0b101100 + 0o110) + chr(102) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def l0vf6yxFUe1b(EVVr9bEHclel, CYCr3xzMHl4K):
xw4DsBfIJ22E = oqhJDdMJfuwx.path.basename(CYCr3xzMHl4K)
EaCjyhZptSer = g1Z_RG9zP4cD.maybe_download(EVVr9bEHclel, xw4DsBfIJ22E, CYCr3xzMHl4K)
xafqLlk3kkUe(RxqDt8LqC5Ns.open(EaCjyhZptSer, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1\x88"\xb7'), '\x64' + '\x65' + chr(4164 - 4065) + '\157' + chr(0b1100100) + chr(0b11110 + 0o107))(chr(0b101100 + 0o111) + '\x74' + chr(3752 - 3650) + chr(1540 - 1495) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6\xca1\xbfM\x86;\x067\xf4'), chr(0b100110 + 0o76) + '\145' + chr(1467 - 1368) + '\157' + '\x64' + chr(0b1100101))(chr(117) + chr(7291 - 7175) + chr(102) + chr(45) + '\070'))(EVVr9bEHclel)
|
tensorflow/tensor2tensor
|
tensor2tensor/data_generators/cifar.py
|
cifar_generator
|
def cifar_generator(cifar_version, tmp_dir, training, how_many, start_from=0):
"""Image generator for CIFAR-10 and 100.
Args:
cifar_version: string; one of "cifar10" or "cifar100"
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.
Returns:
An instance of image_generator that produces CIFAR-10 images and labels.
"""
if cifar_version == "cifar10":
url = _CIFAR10_URL
train_files = _CIFAR10_TRAIN_FILES
test_files = _CIFAR10_TEST_FILES
prefix = _CIFAR10_PREFIX
image_size = _CIFAR10_IMAGE_SIZE
label_key = "labels"
elif cifar_version == "cifar100" or cifar_version == "cifar20":
url = _CIFAR100_URL
train_files = _CIFAR100_TRAIN_FILES
test_files = _CIFAR100_TEST_FILES
prefix = _CIFAR100_PREFIX
image_size = _CIFAR100_IMAGE_SIZE
if cifar_version == "cifar100":
label_key = "fine_labels"
else:
label_key = "coarse_labels"
_get_cifar(tmp_dir, url)
data_files = train_files if training else test_files
all_images, all_labels = [], []
for filename in data_files:
path = os.path.join(tmp_dir, prefix, filename)
with tf.gfile.Open(path, "rb") as f:
if six.PY2:
data = cPickle.load(f)
else:
data = cPickle.load(f, encoding="latin1")
images = data["data"]
num_images = images.shape[0]
images = images.reshape((num_images, 3, image_size, image_size))
all_images.extend([
np.squeeze(images[j]).transpose((1, 2, 0)) for j in range(num_images)
])
labels = data[label_key]
all_labels.extend([labels[j] for j in range(num_images)])
return image_utils.image_generator(
all_images[start_from:start_from + how_many],
all_labels[start_from:start_from + how_many])
|
python
|
def cifar_generator(cifar_version, tmp_dir, training, how_many, start_from=0):
"""Image generator for CIFAR-10 and 100.
Args:
cifar_version: string; one of "cifar10" or "cifar100"
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.
Returns:
An instance of image_generator that produces CIFAR-10 images and labels.
"""
if cifar_version == "cifar10":
url = _CIFAR10_URL
train_files = _CIFAR10_TRAIN_FILES
test_files = _CIFAR10_TEST_FILES
prefix = _CIFAR10_PREFIX
image_size = _CIFAR10_IMAGE_SIZE
label_key = "labels"
elif cifar_version == "cifar100" or cifar_version == "cifar20":
url = _CIFAR100_URL
train_files = _CIFAR100_TRAIN_FILES
test_files = _CIFAR100_TEST_FILES
prefix = _CIFAR100_PREFIX
image_size = _CIFAR100_IMAGE_SIZE
if cifar_version == "cifar100":
label_key = "fine_labels"
else:
label_key = "coarse_labels"
_get_cifar(tmp_dir, url)
data_files = train_files if training else test_files
all_images, all_labels = [], []
for filename in data_files:
path = os.path.join(tmp_dir, prefix, filename)
with tf.gfile.Open(path, "rb") as f:
if six.PY2:
data = cPickle.load(f)
else:
data = cPickle.load(f, encoding="latin1")
images = data["data"]
num_images = images.shape[0]
images = images.reshape((num_images, 3, image_size, image_size))
all_images.extend([
np.squeeze(images[j]).transpose((1, 2, 0)) for j in range(num_images)
])
labels = data[label_key]
all_labels.extend([labels[j] for j in range(num_images)])
return image_utils.image_generator(
all_images[start_from:start_from + how_many],
all_labels[start_from:start_from + how_many])
|
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] |
Image generator for CIFAR-10 and 100.
Args:
cifar_version: string; one of "cifar10" or "cifar100"
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.
Returns:
An instance of image_generator that produces CIFAR-10 images and labels.
|
[
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] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/cifar.py#L62-L113
|
train
|
Image generator for CIFAR - 10 and 100.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1324 - 1276) + chr(2940 - 2829) + chr(50) + chr(0b11001 + 0o34) + '\x31', 0b1000), ehT0Px3KOsy9(chr(120 - 72) + chr(0b1101111) + chr(0b110001) + '\066' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(6415 - 6304) + chr(0b11110 + 0o24) + chr(0b1000 + 0o51) + '\063', 0o10), ehT0Px3KOsy9(chr(1111 - 1063) + '\x6f' + '\063' + chr(51) + chr(0b1001 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(490 - 442) + chr(111) + chr(0b110101) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\065' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101101 + 0o6) + chr(2182 - 2134) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(54) + '\067', 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + '\062' + chr(51) + chr(0b101000 + 0o17), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1010 + 0o47) + chr(0b10101 + 0o37) + chr(49), 27505 - 27497), ehT0Px3KOsy9(chr(48) + chr(0b1000000 + 0o57) + chr(0b110 + 0o55) + '\065' + '\x34', 56100 - 56092), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x34' + chr(1758 - 1706), 56894 - 56886), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(52) + chr(2171 - 2123), 60176 - 60168), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1254 - 1205) + chr(0b110001) + chr(55), 46626 - 46618), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(11881 - 11770) + chr(0b110011) + chr(0b110101) + chr(0b110001), 58525 - 58517), ehT0Px3KOsy9(chr(1144 - 1096) + '\x6f' + chr(0b110011) + chr(0b10001 + 0o43), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1086 - 1036) + chr(0b1011 + 0o47) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(51) + chr(984 - 932), 35539 - 35531), ehT0Px3KOsy9('\060' + chr(0b111110 + 0o61) + chr(0b11101 + 0o26), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6123 - 6012) + chr(0b0 + 0o62) + '\x36' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\060' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(295 - 247) + chr(111) + chr(1620 - 1571) + chr(1051 - 1001) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b10001 + 0o136) + '\x37' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(476 - 365) + chr(49) + chr(1933 - 1878) + chr(0b10001 + 0o46), 4794 - 4786), ehT0Px3KOsy9('\x30' + '\x6f' + chr(507 - 457) + '\x32' + chr(54), 8), ehT0Px3KOsy9('\x30' + chr(7363 - 7252) + '\067' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1029 - 918) + '\x33' + '\064' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + '\061' + chr(0b10111 + 0o31) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + chr(347 - 298) + chr(1176 - 1123) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b1 + 0o65), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(51) + '\064' + '\067', 8), ehT0Px3KOsy9(chr(0b110000) + chr(1900 - 1789) + chr(51) + '\x32' + chr(1620 - 1570), 0o10), ehT0Px3KOsy9('\060' + chr(0b11100 + 0o123) + chr(0b101011 + 0o14) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101111 + 0o4) + chr(0b11 + 0o56), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(0b110011) + chr(951 - 900) + chr(487 - 434), 15368 - 15360), ehT0Px3KOsy9(chr(48) + chr(3796 - 3685) + chr(2474 - 2419) + chr(0b110110), 8), ehT0Px3KOsy9('\x30' + chr(0b1101 + 0o142) + '\x32' + '\x34' + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100000 + 0o117) + '\x31' + chr(0b10100 + 0o41) + '\x31', 32103 - 32095), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(0b10000 + 0o41) + chr(52) + chr(703 - 650), 45296 - 45288), ehT0Px3KOsy9(chr(1974 - 1926) + chr(0b1000010 + 0o55) + chr(0b101000 + 0o11) + chr(0b1 + 0o66) + chr(0b110010 + 0o1), 1448 - 1440)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + '\x35' + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x87'), chr(3428 - 3328) + '\x65' + chr(0b1010101 + 0o16) + chr(111) + chr(100) + chr(0b1001100 + 0o31))('\165' + chr(116) + '\146' + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def bISyhdd_C4CU(BTY4FdWNX51p, JsZ36NJUqtml, H15mhcYcioqz, HMrjUI4R_mvf, dPV5mRckKEXT=ehT0Px3KOsy9('\060' + chr(111) + '\060', ord("\x08"))):
if BTY4FdWNX51p == xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\x19\xed\xbb^\x19\xf5'), chr(100) + chr(8811 - 8710) + '\x63' + chr(4479 - 4368) + chr(6528 - 6428) + '\145')(chr(0b1110101) + '\x74' + chr(4986 - 4884) + '\055' + '\x38'):
CYCr3xzMHl4K = oaaMZVrOQpVj
DRODQPL8lJ6N = N2_z5dNDvN2i
p3bUfQMQKGYG = cVkWUWi89OCh
K1Ha0XjJTAE7 = NjqMo9yKKD3_
fJKnIM3o6qJL = t0KFqgKW_aG0
AyZ0ziQigspL = xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\x11\xe9\xbf@['), chr(6423 - 6323) + chr(9115 - 9014) + chr(99) + chr(0b1101111) + chr(6021 - 5921) + chr(0b1001101 + 0o30))('\165' + chr(0b110010 + 0o102) + '\146' + chr(0b1101 + 0o40) + chr(0b1101 + 0o53))
elif BTY4FdWNX51p == xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\x19\xed\xbb^\x19\xf5\x07'), '\x64' + chr(0b1001 + 0o134) + '\x63' + chr(0b1001011 + 0o44) + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1110100) + '\146' + '\055' + chr(56)) or BTY4FdWNX51p == xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\x19\xed\xbb^\x1a\xf5'), '\144' + chr(0b110111 + 0o56) + '\143' + chr(0b1000110 + 0o51) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(3110 - 3008) + '\055' + '\070'):
CYCr3xzMHl4K = fcuGqLn__pa_
DRODQPL8lJ6N = BDVoLP2iuOO4
p3bUfQMQKGYG = B5AQimsW00YO
K1Ha0XjJTAE7 = eiDjiEoOpOW6
fJKnIM3o6qJL = aVQ6JGj4ygn_
if BTY4FdWNX51p == xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\x19\xed\xbb^\x19\xf5\x07'), chr(5240 - 5140) + chr(0b1100101) + '\x63' + chr(111) + '\x64' + '\x65')(chr(0b1001110 + 0o47) + '\164' + chr(0b1100110) + chr(0b11010 + 0o23) + chr(0b111000)):
AyZ0ziQigspL = xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\x19\xe5\xbfsD\xa4U\xfa\r\x9f'), chr(5814 - 5714) + chr(101) + chr(0b10110 + 0o115) + chr(0b101001 + 0o106) + chr(0b1100100) + chr(1309 - 1208))(chr(1854 - 1737) + '\164' + chr(0b101100 + 0o72) + chr(0b101101) + chr(0b110010 + 0o6))
else:
AyZ0ziQigspL = xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\x1f\xea\xa8_M\x9a[\xfe\x03\x89H\x93'), chr(8083 - 7983) + chr(9515 - 9414) + '\x63' + chr(0b1010100 + 0o33) + chr(100) + chr(0b1100101))(chr(3494 - 3377) + '\x74' + chr(102) + chr(45) + chr(56))
l0vf6yxFUe1b(JsZ36NJUqtml, CYCr3xzMHl4K)
KAyZjSEftgFC = DRODQPL8lJ6N if H15mhcYcioqz else p3bUfQMQKGYG
(Uil9aTx9j0js, fNzOODspTL_K) = ([], [])
for xw4DsBfIJ22E in KAyZjSEftgFC:
EaCjyhZptSer = oqhJDdMJfuwx.path.join(JsZ36NJUqtml, K1Ha0XjJTAE7, xw4DsBfIJ22E)
with xafqLlk3kkUe(IDJ2eXGCBCDu.gfile, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x00\xee\xb4'), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + '\x64' + '\x65')(chr(0b1011101 + 0o30) + chr(116) + chr(102) + chr(0b10111 + 0o26) + chr(56)))(EaCjyhZptSer, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\x12'), chr(0b1100100) + chr(0b1100001 + 0o4) + '\x63' + chr(205 - 94) + chr(0b1001111 + 0o25) + '\x65')(chr(0b10011 + 0o142) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(56))) as EGyt1xfPT1P6:
if xafqLlk3kkUe(sYby0kpfssd4, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9)\xb9'), chr(0b111001 + 0o53) + chr(101) + chr(99) + chr(111) + chr(8216 - 8116) + '\145')(chr(117) + chr(13038 - 12922) + '\x66' + chr(45) + '\070')):
ULnjp6D6efFH = NaUfygCzrUNa.mxtdQMeiwJZJ(EGyt1xfPT1P6)
else:
ULnjp6D6efFH = NaUfygCzrUNa.mxtdQMeiwJZJ(EGyt1xfPT1P6, encoding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\x11\xff\xb3B\x19'), '\x64' + '\x65' + chr(99) + '\157' + chr(0b1100100) + '\145')(chr(7214 - 7097) + '\x74' + chr(0b1000000 + 0o46) + chr(45) + chr(0b100010 + 0o26)))
YJOmEcibG8C0 = ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\x11\xff\xbb'), '\144' + '\x65' + '\x63' + chr(0b1101111) + chr(0b111101 + 0o47) + '\145')('\165' + chr(0b100010 + 0o122) + chr(3447 - 3345) + chr(1829 - 1784) + '\070')]
xf2cgVKUh6ft = YJOmEcibG8C0.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10111 + 0o31), 8)]
YJOmEcibG8C0 = YJOmEcibG8C0.reshape((xf2cgVKUh6ft, ehT0Px3KOsy9(chr(1598 - 1550) + '\157' + '\063', 8), fJKnIM3o6qJL, fJKnIM3o6qJL))
xafqLlk3kkUe(Uil9aTx9j0js, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\x08\xff\xbfBL'), chr(5165 - 5065) + chr(1933 - 1832) + '\143' + chr(111) + chr(0b11010 + 0o112) + chr(101))('\x75' + '\164' + chr(0b101101 + 0o71) + chr(0b100100 + 0o11) + chr(0b111000)))([xafqLlk3kkUe(WqUC3KWvYVup.squeeze(YJOmEcibG8C0[tlORBuYsiw3X]), xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\x02\xea\xb4_X\xaaD\xfa'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(101))(chr(0b1110101) + chr(116) + '\x66' + '\055' + chr(504 - 448)))((ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b111010 + 0o65) + chr(1308 - 1260), 8))) for tlORBuYsiw3X in vQr8gNKaIaWE(xf2cgVKUh6ft)])
uXMK81tmdpTM = ULnjp6D6efFH[AyZ0ziQigspL]
xafqLlk3kkUe(fNzOODspTL_K, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\x08\xff\xbfBL'), '\144' + chr(101) + chr(99) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + chr(0b101100 + 0o110) + '\146' + chr(45) + '\070'))([uXMK81tmdpTM[tlORBuYsiw3X] for tlORBuYsiw3X in vQr8gNKaIaWE(xf2cgVKUh6ft)])
return xafqLlk3kkUe(sOwVd6RdzUcC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\x1d\xea\xbdIw\xa2R\xf1\x04\x9eE\x94 \x9b'), chr(0b1100100) + '\145' + chr(7355 - 7256) + chr(0b1101111) + '\144' + '\x65')(chr(0b1110101) + chr(0b1000100 + 0o60) + '\146' + chr(45) + '\070'))(Uil9aTx9j0js[dPV5mRckKEXT:dPV5mRckKEXT + HMrjUI4R_mvf], fNzOODspTL_K[dPV5mRckKEXT:dPV5mRckKEXT + HMrjUI4R_mvf])
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/trainer_model_based_params.py
|
rlmb_ppo_base
|
def rlmb_ppo_base():
"""HParams for PPO base."""
hparams = _rlmb_base()
ppo_params = dict(
base_algo="ppo",
base_algo_params="ppo_original_params",
# Number of real environments to train on simultaneously.
real_batch_size=1,
# Number of simulated environments to train on simultaneously.
simulated_batch_size=16,
eval_batch_size=32,
# Unused; number of PPO epochs is calculated from the real frame limit.
real_ppo_epochs_num=0,
# Number of frames that can be taken from the simulated environment before
# it diverges, used for training the agent.
ppo_epochs_num=1000, # This should be enough to see something
# Should be equal to simulated_rollout_length.
# TODO(koz4k): Uncouple this by outputing done from SimulatedBatchEnv.
ppo_epoch_length=hparams.simulated_rollout_length,
# Do not eval since simulated batch env does not produce dones
ppo_eval_every_epochs=0,
ppo_learning_rate_constant=1e-4, # Will be changed, just so it exists.
# This needs to be divisible by real_ppo_effective_num_agents.
real_ppo_epoch_length=16 * 200,
real_ppo_learning_rate_constant=1e-4,
real_ppo_effective_num_agents=16,
real_ppo_eval_every_epochs=0,
simulation_flip_first_random_for_beginning=True,
)
update_hparams(hparams, ppo_params)
return hparams
|
python
|
def rlmb_ppo_base():
"""HParams for PPO base."""
hparams = _rlmb_base()
ppo_params = dict(
base_algo="ppo",
base_algo_params="ppo_original_params",
# Number of real environments to train on simultaneously.
real_batch_size=1,
# Number of simulated environments to train on simultaneously.
simulated_batch_size=16,
eval_batch_size=32,
# Unused; number of PPO epochs is calculated from the real frame limit.
real_ppo_epochs_num=0,
# Number of frames that can be taken from the simulated environment before
# it diverges, used for training the agent.
ppo_epochs_num=1000, # This should be enough to see something
# Should be equal to simulated_rollout_length.
# TODO(koz4k): Uncouple this by outputing done from SimulatedBatchEnv.
ppo_epoch_length=hparams.simulated_rollout_length,
# Do not eval since simulated batch env does not produce dones
ppo_eval_every_epochs=0,
ppo_learning_rate_constant=1e-4, # Will be changed, just so it exists.
# This needs to be divisible by real_ppo_effective_num_agents.
real_ppo_epoch_length=16 * 200,
real_ppo_learning_rate_constant=1e-4,
real_ppo_effective_num_agents=16,
real_ppo_eval_every_epochs=0,
simulation_flip_first_random_for_beginning=True,
)
update_hparams(hparams, ppo_params)
return hparams
|
[
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",",
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")",
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] |
HParams for PPO base.
|
[
"HParams",
"for",
"PPO",
"base",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/trainer_model_based_params.py#L138-L171
|
train
|
HParams for PPO base.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2145 - 2097) + '\x6f' + chr(50) + chr(0b110001) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1885 - 1836) + chr(0b100110 + 0o15) + chr(2114 - 2065), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + '\x31' + '\x31' + chr(1441 - 1387), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + '\x32' + '\x36' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(51) + chr(0b100001 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2060 - 2009) + chr(53) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\x31' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\067' + '\x33', 54308 - 54300), ehT0Px3KOsy9(chr(2272 - 2224) + chr(10698 - 10587) + '\063' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b110001) + chr(0b10000 + 0o44) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(51) + chr(912 - 861) + '\x31', 0b1000), ehT0Px3KOsy9(chr(1489 - 1441) + '\157' + '\x31' + chr(50) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100100 + 0o13) + chr(0b110010) + '\x37' + chr(0b10000 + 0o42), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b101010 + 0o12) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(5936 - 5825) + chr(148 - 99) + chr(897 - 842) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(54) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1850 - 1739) + '\x32' + '\064' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(51) + chr(0b110001) + chr(0b101100 + 0o7), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2023 - 1972) + chr(54) + chr(0b111 + 0o55), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1539 - 1488) + chr(0b1101 + 0o50) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110000) + chr(6869 - 6758) + chr(2294 - 2245) + chr(737 - 688) + chr(0b1101 + 0o44), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(49) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(2485 - 2435) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(1496 - 1385) + chr(867 - 817) + '\061' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(738 - 690) + chr(0b110101 + 0o72) + chr(0b101010 + 0o13), 10094 - 10086), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(0b110010 + 0o1) + chr(48) + chr(0b110100 + 0o2), 30670 - 30662), ehT0Px3KOsy9(chr(903 - 855) + chr(0b1101111) + chr(0b110001) + '\066', 11065 - 11057), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(0b100101 + 0o14) + chr(1244 - 1190) + chr(556 - 506), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010 + 0o0) + chr(1989 - 1934), ord("\x08")), ehT0Px3KOsy9(chr(1295 - 1247) + chr(0b111010 + 0o65) + '\065' + chr(1937 - 1884), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + '\x32' + chr(0b110111) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + '\062' + chr(0b110100) + chr(0b110001), 54164 - 54156), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100 + 0o56) + chr(1297 - 1246) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10014 - 9903) + '\061' + chr(782 - 729) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111 + 0o150) + chr(49) + chr(0b100111 + 0o12) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + chr(0b10101 + 0o34) + chr(1585 - 1532) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11110 + 0o121) + '\061' + '\067', 0b1000), ehT0Px3KOsy9(chr(972 - 924) + chr(111) + '\x33' + chr(0b110100) + chr(1179 - 1130), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100111 + 0o13) + chr(0b1 + 0o63) + '\x31', 8), ehT0Px3KOsy9(chr(1575 - 1527) + chr(0b1010011 + 0o34) + '\x31', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(987 - 939) + chr(0b1101000 + 0o7) + chr(0b10100 + 0o41) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0'), '\x64' + chr(5071 - 4970) + chr(0b1100011) + chr(0b10110 + 0o131) + '\x64' + chr(0b1100101))(chr(0b1001000 + 0o55) + chr(116) + '\x66' + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def QUDDCHx3gy1Q():
n4ljua2gi1Pr = i0nxwTHyoQhO()
jYUmmzkT3GAE = wLqBDw8l0eIm(base_algo=xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe)!'), chr(8635 - 8535) + '\145' + chr(9176 - 9077) + chr(8491 - 8380) + chr(0b100000 + 0o104) + '\x65')(chr(117) + chr(0b1110100) + chr(5127 - 5025) + chr(196 - 151) + '\x38'), base_algo_params=xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe)!\xea\xf2\x9e\xa7\x1cw\x0f\xb8<\xe5\x14\x1cE\xc6\xa6\x87'), chr(100) + chr(5405 - 5304) + chr(0b11101 + 0o106) + chr(111) + '\x64' + chr(0b1100101))('\x75' + chr(0b1100001 + 0o23) + '\146' + chr(1888 - 1843) + '\070'), real_batch_size=ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + '\061', 8), simulated_batch_size=ehT0Px3KOsy9('\x30' + chr(0b1001101 + 0o42) + chr(0b1000 + 0o52) + chr(0b11100 + 0o24), 0o10), eval_batch_size=ehT0Px3KOsy9('\x30' + '\157' + '\x34' + '\060', 0b1000), real_ppo_epochs_num=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000), 0b1000), ppo_epochs_num=ehT0Px3KOsy9(chr(287 - 239) + chr(111) + chr(0b110001) + chr(0b110111) + chr(0b1000 + 0o55) + '\060', 25355 - 25347), ppo_epoch_length=n4ljua2gi1Pr.simulated_rollout_length, ppo_eval_every_epochs=ehT0Px3KOsy9('\060' + '\157' + '\060', 8), ppo_learning_rate_constant=0.0001, real_ppo_epoch_length=ehT0Px3KOsy9('\060' + '\157' + chr(2375 - 2325) + chr(48), 8) * ehT0Px3KOsy9('\060' + '\x6f' + chr(0b111 + 0o54) + chr(0b1011 + 0o46) + '\x30', 0b1000), real_ppo_learning_rate_constant=0.0001, real_ppo_effective_num_agents=ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(0b110010) + chr(0b110000), 8), real_ppo_eval_every_epochs=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000), 8), simulation_flip_first_random_for_beginning=ehT0Px3KOsy9(chr(0b110000) + chr(8457 - 8346) + chr(2057 - 2008), 8))
H6TLboedUqP7(n4ljua2gi1Pr, jYUmmzkT3GAE)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/trainer_model_based_params.py
|
rlmb_dqn_base
|
def rlmb_dqn_base():
"""rlmb_dqn_base params."""
hparams = _rlmb_base()
simulated_rollout_length = 10
dqn_params = dict(
base_algo="dqn",
base_algo_params="dqn_original_params",
real_batch_size=1,
simulated_batch_size=16,
dqn_agent_generates_trainable_dones=False,
eval_batch_size=1,
# Must be equal to dqn_time_limit for now
simulated_rollout_length=simulated_rollout_length,
dqn_time_limit=simulated_rollout_length,
simulation_flip_first_random_for_beginning=False,
dqn_eval_episodes_num=3,
# TODO(kc): only for model-free compatibility, remove this
epochs_num=-1,
)
update_hparams(hparams, dqn_params)
return hparams
|
python
|
def rlmb_dqn_base():
"""rlmb_dqn_base params."""
hparams = _rlmb_base()
simulated_rollout_length = 10
dqn_params = dict(
base_algo="dqn",
base_algo_params="dqn_original_params",
real_batch_size=1,
simulated_batch_size=16,
dqn_agent_generates_trainable_dones=False,
eval_batch_size=1,
# Must be equal to dqn_time_limit for now
simulated_rollout_length=simulated_rollout_length,
dqn_time_limit=simulated_rollout_length,
simulation_flip_first_random_for_beginning=False,
dqn_eval_episodes_num=3,
# TODO(kc): only for model-free compatibility, remove this
epochs_num=-1,
)
update_hparams(hparams, dqn_params)
return hparams
|
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] |
rlmb_dqn_base params.
|
[
"rlmb_dqn_base",
"params",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/trainer_model_based_params.py#L189-L210
|
train
|
DQN base 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(0b0 + 0o60) + '\x6f' + chr(0b1000 + 0o53) + chr(0b100111 + 0o17) + chr(55), 64849 - 64841), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(522 - 411) + '\x31' + chr(0b101001 + 0o15), 33151 - 33143), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(600 - 551) + '\x32' + chr(52), 11076 - 11068), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b100110 + 0o14) + chr(0b11100 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(376 - 326) + chr(0b1001 + 0o56) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(416 - 365) + chr(0b110010), 53775 - 53767), ehT0Px3KOsy9('\x30' + chr(9236 - 9125) + chr(0b110011) + chr(2704 - 2652) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1321 - 1271) + chr(1109 - 1054) + chr(1385 - 1330), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100011 + 0o17) + '\x36' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011 + 0o1) + chr(0b110011), 64557 - 64549), ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + chr(2650 - 2596) + chr(0b110101), 1750 - 1742), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b110001) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110001 + 0o76) + '\x32' + chr(1347 - 1298) + '\x35', 49110 - 49102), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110110 + 0o0) + chr(50), 16302 - 16294), ehT0Px3KOsy9(chr(48) + '\157' + chr(157 - 107) + '\x34' + chr(0b100101 + 0o21), 24628 - 24620), ehT0Px3KOsy9(chr(362 - 314) + chr(0b1101111) + '\x31' + chr(0b110101) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1935 - 1887) + chr(111) + chr(0b1 + 0o63) + chr(0b101 + 0o56), 8), ehT0Px3KOsy9('\060' + chr(240 - 129) + '\063' + '\x33' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1164 - 1113) + '\x34' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(967 - 919) + chr(0b1 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(0b11101 + 0o27) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101111 + 0o4) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(2385 - 2335) + chr(0b110001) + chr(2761 - 2708), 8), ehT0Px3KOsy9(chr(1250 - 1202) + chr(111) + chr(0b101101 + 0o5) + chr(1767 - 1718) + chr(51), 40674 - 40666), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1011010 + 0o25) + chr(0b110010) + chr(2041 - 1987) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(9717 - 9606) + '\x36' + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110100) + '\062', 54896 - 54888), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2434 - 2383) + '\x37' + chr(2283 - 2235), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b110000 + 0o3), 45761 - 45753), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101000 + 0o13) + chr(54) + chr(1604 - 1551), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + chr(0b110001 + 0o2) + chr(243 - 189) + '\064', 23520 - 23512), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + chr(0b1111 + 0o42) + chr(0b1111 + 0o46) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10111 + 0o130) + '\062' + '\063', 52599 - 52591), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(51) + '\x30' + chr(0b110101), 19654 - 19646), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + chr(0b110011 + 0o0) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10001 + 0o40) + chr(0b101111 + 0o1) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(2125 - 2077) + chr(0b1101111) + chr(50) + chr(52) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(49) + chr(0b101001 + 0o15), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\060' + chr(0b10110 + 0o40), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + chr(53) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9'), chr(1669 - 1569) + chr(0b111011 + 0o52) + '\x63' + '\157' + chr(100) + '\145')(chr(6497 - 6380) + chr(3698 - 3582) + '\146' + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Sr7H_ToNzUUj():
n4ljua2gi1Pr = i0nxwTHyoQhO()
Zz7z6jACoNio = ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\x32', 0b1000)
vK_IhoSTfc7V = wLqBDw8l0eIm(base_algo=xafqLlk3kkUe(SXOLrMavuUCe(b'\x93f`'), chr(9289 - 9189) + '\x65' + chr(99) + chr(0b101000 + 0o107) + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + chr(0b1100110) + '\x2d' + chr(1811 - 1755)), base_algo_params=xafqLlk3kkUe(SXOLrMavuUCe(b'\x93f`\x0b\xbd\xccs\x80\xd6\xd9BY\x95\xfd\x93\xd4\nN\xac'), chr(4645 - 4545) + chr(7432 - 7331) + '\143' + '\157' + '\144' + '\x65')(chr(133 - 16) + chr(0b101000 + 0o114) + chr(102) + chr(0b101 + 0o50) + chr(56)), real_batch_size=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061', 0o10), simulated_batch_size=ehT0Px3KOsy9(chr(1725 - 1677) + chr(0b1101111) + chr(50) + '\x30', 56793 - 56785), dqn_agent_generates_trainable_dones=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\060', ord("\x08")), eval_batch_size=ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + chr(0b10000 + 0o41), 8), simulated_rollout_length=Zz7z6jACoNio, dqn_time_limit=Zz7z6jACoNio, simulation_flip_first_random_for_beginning=ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(2046 - 1998), 8), dqn_eval_episodes_num=ehT0Px3KOsy9(chr(835 - 787) + chr(0b1010000 + 0o37) + chr(0b110001 + 0o2), ord("\x08")), epochs_num=-ehT0Px3KOsy9(chr(48) + chr(111) + chr(49), 8))
H6TLboedUqP7(n4ljua2gi1Pr, vK_IhoSTfc7V)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/trainer_model_based_params.py
|
rlmb_ppo_quick
|
def rlmb_ppo_quick():
"""Base setting but quicker with only 2 epochs."""
hparams = rlmb_ppo_base()
hparams.epochs = 2
hparams.model_train_steps = 25000
hparams.ppo_epochs_num = 700
hparams.ppo_epoch_length = 50
return hparams
|
python
|
def rlmb_ppo_quick():
"""Base setting but quicker with only 2 epochs."""
hparams = rlmb_ppo_base()
hparams.epochs = 2
hparams.model_train_steps = 25000
hparams.ppo_epochs_num = 700
hparams.ppo_epoch_length = 50
return hparams
|
[
"def",
"rlmb_ppo_quick",
"(",
")",
":",
"hparams",
"=",
"rlmb_ppo_base",
"(",
")",
"hparams",
".",
"epochs",
"=",
"2",
"hparams",
".",
"model_train_steps",
"=",
"25000",
"hparams",
".",
"ppo_epochs_num",
"=",
"700",
"hparams",
".",
"ppo_epoch_length",
"=",
"50",
"return",
"hparams"
] |
Base setting but quicker with only 2 epochs.
|
[
"Base",
"setting",
"but",
"quicker",
"with",
"only",
"2",
"epochs",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/trainer_model_based_params.py#L234-L241
|
train
|
Base setting but quicker with only 2 epochs.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1069 - 1021) + '\157' + chr(0b100 + 0o55) + chr(2516 - 2462), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2337 - 2226) + chr(51) + '\065' + '\066', 0o10), ehT0Px3KOsy9(chr(195 - 147) + '\157' + chr(0b101011 + 0o6) + '\066', 8), ehT0Px3KOsy9(chr(303 - 255) + '\x6f' + chr(0b1110 + 0o43) + chr(0b11000 + 0o33) + chr(379 - 326), 0o10), ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + chr(0b0 + 0o63) + chr(0b110001) + '\060', 9593 - 9585), ehT0Px3KOsy9('\x30' + chr(2179 - 2068) + chr(0b100000 + 0o22) + chr(1656 - 1608) + chr(0b100100 + 0o14), 6678 - 6670), ehT0Px3KOsy9(chr(48) + chr(8913 - 8802) + '\x33' + chr(0b110000) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001 + 0o6) + chr(226 - 176), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10001 + 0o41) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b110010) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(3119 - 3008) + chr(0b110010) + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b110110) + chr(2173 - 2119), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(1929 - 1875) + chr(0b101100 + 0o13), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x31' + chr(121 - 73), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b1100 + 0o50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(715 - 604) + '\x33' + chr(1076 - 1022) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(53) + chr(55), 51930 - 51922), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b111 + 0o54) + chr(0b110110) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(54) + '\066', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x37' + chr(2451 - 2396), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\x33' + chr(589 - 536), 0b1000), ehT0Px3KOsy9(chr(2276 - 2228) + chr(0b1011111 + 0o20) + '\x32' + chr(2566 - 2515) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(52), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10000 + 0o42) + chr(0b11101 + 0o32) + chr(0b11010 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(0b110010) + chr(0b110010) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\x32' + chr(52), 1290 - 1282), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(50) + chr(0b110100) + chr(0b100010 + 0o21), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(2151 - 2101) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2075 - 2025) + '\061' + '\062', 29101 - 29093), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + '\061' + chr(49) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(6204 - 6093) + '\063' + chr(55) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + '\063' + chr(53) + '\066', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(48) + chr(0b1 + 0o62), 18936 - 18928), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100000 + 0o27) + chr(0b10100 + 0o41), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\067' + chr(1681 - 1628), 8), ehT0Px3KOsy9(chr(571 - 523) + '\x6f' + '\x30', 32297 - 32289), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110101) + chr(0b11110 + 0o27), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(2520 - 2469) + '\x30' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(0b100010 + 0o25) + chr(0b110001), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + chr(0b100100 + 0o14), 8590 - 8582)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b' '), chr(1233 - 1133) + '\x65' + chr(0b100011 + 0o100) + chr(11078 - 10967) + chr(100) + chr(0b1100101 + 0o0))('\x75' + chr(0b1110100) + '\x66' + '\055' + chr(1136 - 1080)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def HmZJpmWneoXa():
n4ljua2gi1Pr = QUDDCHx3gy1Q()
n4ljua2gi1Pr.xvDB7qObFSrr = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50), 32440 - 32432)
n4ljua2gi1Pr.UFyvdGfjgFKS = ehT0Px3KOsy9(chr(1395 - 1347) + chr(0b1101111) + chr(2050 - 1996) + chr(0b110000 + 0o0) + chr(0b110011 + 0o3) + chr(53) + chr(0b101 + 0o53), 0o10)
n4ljua2gi1Pr.Znsza0qvc2k0 = ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(1576 - 1526) + chr(55) + '\x34', 0o10)
n4ljua2gi1Pr.BYTlP2WTHA9T = ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1100101 + 0o12) + chr(0b110110) + '\x32', 0o10)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/trainer_model_based_params.py
|
rlmb_base_stochastic
|
def rlmb_base_stochastic():
"""Base setting with a stochastic next-frame model."""
hparams = rlmb_base()
hparams.initial_epoch_train_steps_multiplier = 5
hparams.generative_model = "next_frame_basic_stochastic"
hparams.generative_model_params = "next_frame_basic_stochastic"
return hparams
|
python
|
def rlmb_base_stochastic():
"""Base setting with a stochastic next-frame model."""
hparams = rlmb_base()
hparams.initial_epoch_train_steps_multiplier = 5
hparams.generative_model = "next_frame_basic_stochastic"
hparams.generative_model_params = "next_frame_basic_stochastic"
return hparams
|
[
"def",
"rlmb_base_stochastic",
"(",
")",
":",
"hparams",
"=",
"rlmb_base",
"(",
")",
"hparams",
".",
"initial_epoch_train_steps_multiplier",
"=",
"5",
"hparams",
".",
"generative_model",
"=",
"\"next_frame_basic_stochastic\"",
"hparams",
".",
"generative_model_params",
"=",
"\"next_frame_basic_stochastic\"",
"return",
"hparams"
] |
Base setting with a stochastic next-frame model.
|
[
"Base",
"setting",
"with",
"a",
"stochastic",
"next",
"-",
"frame",
"model",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/trainer_model_based_params.py#L294-L300
|
train
|
Base setting with a stochastic next - frame model.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(630 - 582) + '\x6f' + chr(0b10101 + 0o35) + chr(48) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\065' + chr(1557 - 1503), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1358 - 1308) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + '\x32' + chr(1493 - 1443) + chr(1445 - 1391), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9240 - 9129) + chr(0b110110) + '\063', 35875 - 35867), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x37' + chr(50), 8434 - 8426), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b11111 + 0o120) + chr(50) + '\x36' + '\x33', 0b1000), ehT0Px3KOsy9(chr(422 - 374) + '\157' + chr(0b110011) + chr(0b10111 + 0o36), 13251 - 13243), ehT0Px3KOsy9(chr(830 - 782) + chr(0b1101111) + chr(50), 0b1000), ehT0Px3KOsy9(chr(552 - 504) + '\x6f' + '\061' + '\063' + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + chr(0b110010) + chr(54) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(53) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + chr(0b110001) + chr(55) + '\x37', 274 - 266), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b10111 + 0o130) + chr(49) + chr(1318 - 1266) + chr(0b101000 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111001 + 0o66) + chr(49) + chr(55), 22346 - 22338), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(1667 - 1613) + '\066', 0o10), ehT0Px3KOsy9(chr(1279 - 1231) + chr(111) + '\063' + chr(1603 - 1551) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1962 - 1913) + chr(51) + chr(0b100000 + 0o27), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\x32' + chr(2587 - 2534), 0b1000), ehT0Px3KOsy9(chr(76 - 28) + chr(0b1101111) + '\064' + '\x35', 24484 - 24476), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\x30' + chr(0b110101), 22299 - 22291), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(50), 8), ehT0Px3KOsy9(chr(2017 - 1969) + chr(0b1000001 + 0o56) + chr(51) + chr(48) + chr(0b11000 + 0o32), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(0b110001) + '\x30' + chr(0b100010 + 0o17), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b11001 + 0o36) + '\x34', 39780 - 39772), ehT0Px3KOsy9(chr(1886 - 1838) + chr(0b1101111) + chr(0b110001) + chr(0b110111) + chr(0b110110 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(50) + '\x30' + '\x35', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\060', 32585 - 32577), ehT0Px3KOsy9(chr(888 - 840) + '\x6f' + '\x37' + chr(0b110100 + 0o0), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + '\061' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(1177 - 1123) + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x34' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b111 + 0o52) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(54) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b11 + 0o56) + '\x33', 8299 - 8291), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + '\x31' + chr(1144 - 1089) + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101110 + 0o3) + '\063', 8), ehT0Px3KOsy9('\x30' + chr(10443 - 10332) + '\061' + chr(0b110110 + 0o0) + chr(0b110010), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(49 - 1) + '\157' + chr(0b110101) + chr(1042 - 994), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xab'), chr(0b1100100) + '\145' + '\143' + chr(3059 - 2948) + chr(0b1100100) + chr(0b1100101))('\x75' + '\x74' + chr(102) + chr(0b10 + 0o53) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jNUb0YiET_uZ():
n4ljua2gi1Pr = wvShKmDEuOfS()
n4ljua2gi1Pr.ddg15uZMJRcR = ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + chr(1413 - 1360), 2058 - 2050)
n4ljua2gi1Pr.uVIiffPeN7yA = xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb\xcbo\xe2l|x\xdb\xdex]9\xd0\x9f\x16\x07P\xc5\x960\xf6M$i\xb6(\x9f'), chr(0b1100100) + chr(101) + '\143' + chr(0b110110 + 0o71) + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + chr(102) + chr(0b10111 + 0o26) + '\070')
n4ljua2gi1Pr.YBEkVLgqMiCU = xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb\xcbo\xe2l|x\xdb\xdex]9\xd0\x9f\x16\x07P\xc5\x960\xf6M$i\xb6(\x9f'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(7552 - 7452) + '\145')(chr(0b1011011 + 0o32) + chr(3711 - 3595) + '\146' + chr(45) + chr(56))
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/trainer_model_based_params.py
|
rlmb_base_stochastic_discrete
|
def rlmb_base_stochastic_discrete():
"""Base setting with stochastic discrete model."""
hparams = rlmb_base()
hparams.learning_rate_bump = 1.0
hparams.grayscale = False
hparams.generative_model = "next_frame_basic_stochastic_discrete"
hparams.generative_model_params = "next_frame_basic_stochastic_discrete"
# The parameters below are the same as base, but repeated for easier reading.
hparams.ppo_epoch_length = 50
hparams.simulated_rollout_length = 50
hparams.simulated_batch_size = 16
return hparams
|
python
|
def rlmb_base_stochastic_discrete():
"""Base setting with stochastic discrete model."""
hparams = rlmb_base()
hparams.learning_rate_bump = 1.0
hparams.grayscale = False
hparams.generative_model = "next_frame_basic_stochastic_discrete"
hparams.generative_model_params = "next_frame_basic_stochastic_discrete"
# The parameters below are the same as base, but repeated for easier reading.
hparams.ppo_epoch_length = 50
hparams.simulated_rollout_length = 50
hparams.simulated_batch_size = 16
return hparams
|
[
"def",
"rlmb_base_stochastic_discrete",
"(",
")",
":",
"hparams",
"=",
"rlmb_base",
"(",
")",
"hparams",
".",
"learning_rate_bump",
"=",
"1.0",
"hparams",
".",
"grayscale",
"=",
"False",
"hparams",
".",
"generative_model",
"=",
"\"next_frame_basic_stochastic_discrete\"",
"hparams",
".",
"generative_model_params",
"=",
"\"next_frame_basic_stochastic_discrete\"",
"# The parameters below are the same as base, but repeated for easier reading.",
"hparams",
".",
"ppo_epoch_length",
"=",
"50",
"hparams",
".",
"simulated_rollout_length",
"=",
"50",
"hparams",
".",
"simulated_batch_size",
"=",
"16",
"return",
"hparams"
] |
Base setting with stochastic discrete model.
|
[
"Base",
"setting",
"with",
"stochastic",
"discrete",
"model",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/trainer_model_based_params.py#L313-L324
|
train
|
Base setting with stochastic discrete 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' + '\x6f' + '\062' + '\067' + chr(1939 - 1889), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110111) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b110010) + chr(0b110110) + chr(0b1111 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(1835 - 1787) + chr(111) + chr(0b110010) + '\064' + chr(2141 - 2093), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\x33' + chr(460 - 405) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b11010 + 0o26), 21683 - 21675), ehT0Px3KOsy9('\060' + '\x6f' + chr(483 - 432) + '\x35' + chr(0b101010 + 0o14), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110011) + chr(1765 - 1717), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(740 - 629) + chr(55) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000 + 0o1) + chr(0b1000 + 0o51) + chr(0b110111), 56734 - 56726), ehT0Px3KOsy9('\060' + chr(6710 - 6599) + '\x31' + '\x35' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(277 - 229) + chr(9991 - 9880) + '\062' + chr(512 - 464) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(169 - 121) + '\x6f' + chr(49) + chr(0b110101) + chr(1329 - 1274), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3649 - 3538) + chr(2141 - 2092) + chr(0b110000) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(943 - 832) + chr(2195 - 2146) + '\x35' + chr(2081 - 2028), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3068 - 2957) + chr(49) + chr(52) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110011 + 0o74) + chr(0b111 + 0o56) + chr(178 - 130), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(841 - 788) + chr(0b1000 + 0o55), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000101 + 0o52) + chr(51) + chr(0b110010) + chr(0b10000 + 0o46), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(462 - 412) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\x36' + chr(1259 - 1205), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1111 + 0o42) + chr(50) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(52) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110111) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\x31' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8429 - 8318) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b110110) + chr(930 - 877), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + '\062' + '\x32' + chr(0b110111), 55048 - 55040), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(5172 - 5061) + '\063' + chr(51) + '\062', 42907 - 42899), ehT0Px3KOsy9(chr(187 - 139) + chr(10182 - 10071) + chr(113 - 62) + '\x30' + chr(0b10001 + 0o46), 26337 - 26329), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(0b110111) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(12285 - 12174) + chr(50) + '\x30' + chr(179 - 128), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(52) + chr(2528 - 2475), 54103 - 54095), ehT0Px3KOsy9('\060' + '\157' + '\066' + '\066', 55306 - 55298), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(1269 - 1218) + '\x37' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010101 + 0o32) + chr(50) + chr(0b110010) + chr(1902 - 1850), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1110 + 0o45) + chr(0b1011 + 0o54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6635 - 6524) + chr(1370 - 1321) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(6435 - 6324) + chr(0b11111 + 0o27), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\065' + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x94'), chr(4454 - 4354) + chr(10045 - 9944) + '\143' + chr(111) + chr(0b1100100) + chr(5041 - 4940))('\165' + chr(116) + chr(102) + chr(96 - 51) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Cuu2iPul0ZpV():
n4ljua2gi1Pr = wvShKmDEuOfS()
n4ljua2gi1Pr.rgYNOuacdxId = 1.0
n4ljua2gi1Pr.iVrnJKHOeGmG = ehT0Px3KOsy9(chr(48) + '\157' + chr(48), 0o10)
n4ljua2gi1Pr.uVIiffPeN7yA = xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4X\xce\xd4\xa6n\x9c\xf9W*7\xe2\x0e7\x04\x01w\x1e\xa2zi\x9e1S\x8f%`*\xf3\xb3\xb4]\xf1@B\x9f'), chr(0b1100100) + chr(0b1100000 + 0o5) + '\143' + '\x6f' + chr(1585 - 1485) + chr(0b1011011 + 0o12))('\165' + '\x74' + '\x66' + chr(0b101101) + '\070')
n4ljua2gi1Pr.YBEkVLgqMiCU = xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4X\xce\xd4\xa6n\x9c\xf9W*7\xe2\x0e7\x04\x01w\x1e\xa2zi\x9e1S\x8f%`*\xf3\xb3\xb4]\xf1@B\x9f'), '\x64' + chr(2906 - 2805) + '\143' + chr(0b1101111) + chr(0b10111 + 0o115) + chr(8751 - 8650))(chr(117) + '\x74' + '\x66' + chr(45) + chr(56))
n4ljua2gi1Pr.BYTlP2WTHA9T = ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b111111 + 0o60) + '\x36' + chr(0b110010), 0o10)
n4ljua2gi1Pr.Zz7z6jACoNio = ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(0b10001 + 0o45) + chr(50), 8)
n4ljua2gi1Pr.PBpnkLjxkvnI = ehT0Px3KOsy9('\x30' + chr(9602 - 9491) + '\062' + chr(48), 0b1000)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/trainer_model_based_params.py
|
rlmb_long_stochastic_discrete_simulation_deterministic_starts
|
def rlmb_long_stochastic_discrete_simulation_deterministic_starts():
"""Long setting with stochastic discrete model & deterministic sim starts."""
hparams = rlmb_base_stochastic_discrete()
hparams.generative_model_params = "next_frame_basic_stochastic_discrete_long"
hparams.ppo_epochs_num = 1000
hparams.simulation_random_starts = False
return hparams
|
python
|
def rlmb_long_stochastic_discrete_simulation_deterministic_starts():
"""Long setting with stochastic discrete model & deterministic sim starts."""
hparams = rlmb_base_stochastic_discrete()
hparams.generative_model_params = "next_frame_basic_stochastic_discrete_long"
hparams.ppo_epochs_num = 1000
hparams.simulation_random_starts = False
return hparams
|
[
"def",
"rlmb_long_stochastic_discrete_simulation_deterministic_starts",
"(",
")",
":",
"hparams",
"=",
"rlmb_base_stochastic_discrete",
"(",
")",
"hparams",
".",
"generative_model_params",
"=",
"\"next_frame_basic_stochastic_discrete_long\"",
"hparams",
".",
"ppo_epochs_num",
"=",
"1000",
"hparams",
".",
"simulation_random_starts",
"=",
"False",
"return",
"hparams"
] |
Long setting with stochastic discrete model & deterministic sim starts.
|
[
"Long",
"setting",
"with",
"stochastic",
"discrete",
"model",
"&",
"deterministic",
"sim",
"starts",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/trainer_model_based_params.py#L403-L409
|
train
|
Long setting with stochastic discrete model & deterministic sim starts.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1462 - 1414) + chr(7891 - 7780) + '\062' + chr(0b110011) + chr(0b10110 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(2124 - 2076) + chr(2458 - 2347) + chr(0b110001) + chr(0b110111) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x37' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(475 - 427) + chr(0b1101111) + chr(0b11001 + 0o31) + chr(2552 - 2500) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b100101 + 0o112) + chr(501 - 450) + '\063' + chr(1642 - 1593), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1789 - 1741) + chr(0b1101111) + '\x32' + chr(48) + chr(52), 51741 - 51733), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + '\x32' + chr(0b110001 + 0o6) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + chr(49) + '\x34' + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1281 - 1226) + chr(2348 - 2298), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(2726 - 2673) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + chr(0b11011 + 0o27) + chr(55) + chr(0b1101 + 0o47), 8), ehT0Px3KOsy9(chr(973 - 925) + '\157' + '\x33' + chr(0b110 + 0o52) + chr(1636 - 1588), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + '\x31' + chr(1348 - 1293), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2773 - 2662) + '\x34' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6504 - 6393) + '\063' + chr(49) + chr(0b10100 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(749 - 701) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + chr(1144 - 1095) + '\064' + '\064', 57430 - 57422), ehT0Px3KOsy9('\060' + '\x6f' + '\x34' + chr(52), 33763 - 33755), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1181 - 1130) + chr(0b110000) + chr(0b110001 + 0o3), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\x34' + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(135 - 86) + '\x36' + chr(0b110110), 3297 - 3289), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\x34' + chr(0b110 + 0o53), 8), ehT0Px3KOsy9(chr(1719 - 1671) + chr(0b1101111) + chr(0b110010) + '\x35' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x35' + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(653 - 599) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(4453 - 4342) + chr(0b10101 + 0o35) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + chr(0b110001) + chr(814 - 766) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(1261 - 1206), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(789 - 734) + '\067', 41890 - 41882), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\x33' + '\x31', 8), ehT0Px3KOsy9(chr(1438 - 1390) + chr(0b1100001 + 0o16) + chr(1399 - 1349) + chr(716 - 668), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\067' + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b101 + 0o55) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1171 - 1123) + chr(371 - 260) + '\x33' + chr(48) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10 + 0o155) + '\x31' + chr(55) + '\067', 48810 - 48802), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1220 - 1171) + '\x31' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(2274 - 2226) + chr(0b1000000 + 0o57) + '\061' + chr(54) + chr(0b10101 + 0o41), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(275 - 225) + '\060' + chr(54), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(830 - 782) + chr(0b1011111 + 0o20) + chr(0b110101) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6'), '\x64' + '\145' + chr(0b110010 + 0o61) + chr(111) + '\144' + '\145')('\x75' + chr(0b1110100) + chr(2997 - 2895) + chr(909 - 864) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jVEbbGlDfE_G():
n4ljua2gi1Pr = Cuu2iPul0ZpV()
n4ljua2gi1Pr.YBEkVLgqMiCU = xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\x19C\xd5\x86s\xf6\xdd\x0c_\xf4\xde\xa1|H\xaa\x9a\x17P\xab\xc6\x1e\x00\xddX\xd8p\x1bk\x96\xaas|X\xe2\xa3 "\x19\xe8\xff'), chr(100) + '\145' + chr(3471 - 3372) + chr(8629 - 8518) + '\x64' + '\x65')(chr(117) + chr(8594 - 8478) + chr(6548 - 6446) + chr(0b1001 + 0o44) + '\x38')
n4ljua2gi1Pr.Znsza0qvc2k0 = ehT0Px3KOsy9(chr(0b110000) + chr(4803 - 4692) + chr(49) + chr(55) + '\x35' + chr(0b110000), 0o10)
n4ljua2gi1Pr.fJlr2HKekDZ6 = ehT0Px3KOsy9(chr(689 - 641) + chr(0b100001 + 0o116) + '\060', 0b1000)
return n4ljua2gi1Pr
|
tensorflow/tensor2tensor
|
tensor2tensor/rl/trainer_model_based_params.py
|
rlmb_long_stochastic_discrete_100steps
|
def rlmb_long_stochastic_discrete_100steps():
"""Long setting with stochastic discrete model, changed ppo steps."""
hparams = rlmb_long_stochastic_discrete()
hparams.ppo_epoch_length = 100
hparams.simulated_rollout_length = 100
hparams.simulated_batch_size = 8
return hparams
|
python
|
def rlmb_long_stochastic_discrete_100steps():
"""Long setting with stochastic discrete model, changed ppo steps."""
hparams = rlmb_long_stochastic_discrete()
hparams.ppo_epoch_length = 100
hparams.simulated_rollout_length = 100
hparams.simulated_batch_size = 8
return hparams
|
[
"def",
"rlmb_long_stochastic_discrete_100steps",
"(",
")",
":",
"hparams",
"=",
"rlmb_long_stochastic_discrete",
"(",
")",
"hparams",
".",
"ppo_epoch_length",
"=",
"100",
"hparams",
".",
"simulated_rollout_length",
"=",
"100",
"hparams",
".",
"simulated_batch_size",
"=",
"8",
"return",
"hparams"
] |
Long setting with stochastic discrete model, changed ppo steps.
|
[
"Long",
"setting",
"with",
"stochastic",
"discrete",
"model",
"changed",
"ppo",
"steps",
"."
] |
272500b6efe353aeb638d2745ed56e519462ca31
|
https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/rl/trainer_model_based_params.py#L413-L419
|
train
|
Long setting with stochastic discrete model changed ppo steps.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(2197 - 2144) + chr(0b10010 + 0o37), 22518 - 22510), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(0b110 + 0o54) + '\063' + '\063', 26196 - 26188), ehT0Px3KOsy9('\060' + chr(0b101100 + 0o103) + chr(0b10000 + 0o41) + '\060' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4451 - 4340) + '\x31' + chr(0b110000) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(1090 - 1036) + chr(1481 - 1432), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(2448 - 2397) + chr(55) + '\x33', 0b1000), ehT0Px3KOsy9(chr(669 - 621) + '\x6f' + chr(53) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1206 - 1156) + chr(0b110110) + '\067', 46694 - 46686), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\x31' + chr(0b10110 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111111 + 0o60) + '\063' + chr(2405 - 2354) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(48) + chr(55), 8), ehT0Px3KOsy9(chr(0b110000) + chr(2515 - 2404) + '\x32' + chr(0b10001 + 0o46) + '\063', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(1554 - 1505) + '\060' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(11476 - 11365) + chr(885 - 834) + chr(0b1111 + 0o50) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(159 - 111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b110 + 0o53), 18200 - 18192), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110110) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(3082 - 2971) + chr(0b110000 + 0o2) + chr(365 - 317) + '\063', 35000 - 34992), ehT0Px3KOsy9(chr(1742 - 1694) + chr(0b1101111) + chr(0b101010 + 0o14) + chr(1702 - 1650), ord("\x08")), ehT0Px3KOsy9('\060' + chr(6686 - 6575) + chr(49) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7186 - 7075) + chr(0b10010 + 0o41) + chr(0b10001 + 0o46) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10111 + 0o32) + '\061' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(2609 - 2498) + chr(0b101100 + 0o6) + chr(0b110010) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1563 - 1511) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + chr(0b110010) + chr(876 - 823) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(634 - 585) + chr(1429 - 1378) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(0b110010) + chr(0b110100 + 0o0) + chr(0b100010 + 0o20), 54781 - 54773), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b110000 + 0o6), 0o10), ehT0Px3KOsy9(chr(1322 - 1274) + chr(0b1101000 + 0o7) + chr(53) + '\x33', 8), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1011001 + 0o26) + chr(0b110001) + chr(54) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b1111 + 0o46) + chr(0b100001 + 0o25), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(0b110001 + 0o0) + chr(50) + chr(1801 - 1749), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101101 + 0o6) + '\062' + chr(0b110100), 11183 - 11175), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\060' + chr(0b11100 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(0b110010) + chr(50) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\x32', 63068 - 63060), ehT0Px3KOsy9('\x30' + chr(2767 - 2656) + '\x31' + chr(93 - 43) + chr(0b1000 + 0o54), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110001) + chr(49), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110101) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x07'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\157' + '\x64' + chr(0b1100101))(chr(7220 - 7103) + '\x74' + '\x66' + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def eknjGJXF2hlG():
n4ljua2gi1Pr = cPklOFeEAYc1()
n4ljua2gi1Pr.BYTlP2WTHA9T = ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(289 - 240) + chr(0b110100) + '\064', ord("\x08"))
n4ljua2gi1Pr.Zz7z6jACoNio = ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\x34' + chr(52), 8)
n4ljua2gi1Pr.PBpnkLjxkvnI = ehT0Px3KOsy9('\x30' + chr(7888 - 7777) + chr(0b110001) + chr(48), 8)
return n4ljua2gi1Pr
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