Paddle paddle.fluid.core_avx.EnforceNotMet: Invoke operator edit_distance error.

gzjq41n4  于 2021-11-29  发布在  Java
关注(0)|答案(3)|浏览(488)
  • 版本、环境信息:
  1. paddlepaddle-gpu 1.5.x
  2. 百度AI Studio的在线环境(GPU版 V100)

代码来自场景文字识别OCR Attention

https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/ocr_recognition

attention model

在运行 env CUDA_VISIBLE_DEVICES=0 python ./example/train.py --use_gpu=True --skip_test=True --save_model_dir="./models_attention" --model="attention" 出现错误

-----------  Configuration Arguments -----------
average_window: 0.15
batch_size: 16
eval_period: 15000
init_model: None
log_period: 1000
max_average_window: 12500
min_average_window: 10000
model: attention
parallel: False
profile: False
save_model_dir: ./models_attention
save_model_period: 15000
skip_batch_num: 0
skip_test: 1
test_images: work/dataset/ocr_chinese/train_images
test_list: train.list
total_step: 720000
train_images: work/dataset/ocr_chinese/train_images
train_list: train.list
use_gpu: 1
------------------------------------------------
/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/evaluator.py:71: Warning: The EditDistance is deprecated, because maintain a modified program inside evaluator cause bug easily, please use fluid.metrics.EditDistance instead.
  % (self.__class__.__name__, self.__class__.__name__), Warning)
finish batch shuffle
W0729 15:06:09.451383   136 device_context.cc:259] Please NOTE: device: 0, CUDA Capability: 70, Driver API Version: 9.2, Runtime API Version: 9.0
W0729 15:06:09.455503   136 device_context.cc:267] device: 0, cuDNN Version: 7.3.
Traceback (most recent call last):
  File "./example/train.py", line 222, in <module>
    main()
  File "./example/train.py", line 218, in main
    train(args)
  File "./example/train.py", line 151, in train
    results = train_one_batch(data)
  File "./example/train.py", line 112, in train_one_batch
    fetch_list=fetch_vars)
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/executor.py", line 650, in run
    use_program_cache=use_program_cache)
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/executor.py", line 748, in _run
    exe.run(program.desc, scope, 0, True, True, fetch_var_name)
paddle.fluid.core_avx.EnforceNotMet: Invoke operator edit_distance error.
Python Callstacks: 
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/framework.py", line 1748, in append_op
    attrs=kwargs.get("attrs", None))
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/layer_helper.py", line 43, in append_op
    return self.main_program.current_block().append_op(*args,**kwargs)
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/layers/nn.py", line 5392, in edit_distance
    attrs={"normalized": normalized})
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/evaluator.py", line 261, in __init__
    input=input, label=label, ignored_tokens=ignored_tokens)
  File "/home/aistudio/example/attention_model.py", line 187, in attention_train_net
    input=maxid, label=label_out, ignored_tokens=[sos, eos])
  File "./example/train.py", line 61, in train
    args, data_shape, num_classes)
  File "./example/train.py", line 218, in main
    train(args)
  File "./example/train.py", line 222, in <module>
    main()
C++ Callstacks: 
Reference string 16 is empty. at [/paddle/paddle/fluid/operators/edit_distance_op.cu:92]
PaddlePaddle Call Stacks: 
0       0x7ffb8569d2e0p void paddle::platform::EnforceNotMet::Init<char const*>(char const*, char const*, int) + 352
1       0x7ffb8569d659p paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int) + 137
2       0x7ffb85b28afap paddle::operators::EditDistanceGPUKernel<paddle::platform::CUDAPlace, float>::Compute(paddle::framework::ExecutionContext const&) const + 4938
3       0x7ffb85b28f23p std::_Function_handler<void (paddle::framework::ExecutionContext const&), paddle::framework::OpKernelRegistrarFunctor<paddle::platform::CUDAPlace, false, 0ul, paddle::operators::EditDistanceGPUKernel<paddle::platform::CUDAPlace, float> >::operator()(char const*, char const*, int) const::{lambda(paddle::framework::ExecutionContext const&)#1}>::_M_invoke(std::_Any_data const&, paddle::framework::ExecutionContext const&) + 35
4       0x7ffb875f8657p paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace, paddle::platform::CUDAPinnedPlace, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> const&, paddle::framework::RuntimeContext*) const + 375
5       0x7ffb875f8a31p paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace, paddle::platform::CUDAPinnedPlace, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> const&) const + 529
6       0x7ffb875f602cp paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace, paddle::platform::CUDAPinnedPlace, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> const&) + 332
7       0x7ffb8582747ep paddle::framework::Executor::RunPreparedContext(paddle::framework::ExecutorPrepareContext*, paddle::framework::Scope*, bool, bool, bool) + 382
8       0x7ffb8582a51fp paddle::framework::Executor::Run(paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool, std::vector<std::string, std::allocator<std::string> > const&, bool) + 143
9       0x7ffb8568e96dp
10      0x7ffb856cfca6p
11      0x7ffbea152199p PyCFunction_Call + 233
12      0x7ffbea1ed3f9p PyEval_EvalFrameEx + 33545
13      0x7ffbea1ef4b6p
14      0x7ffbea1ec5b5p PyEval_EvalFrameEx + 29893
15      0x7ffbea1ef4b6p
16      0x7ffbea1ec5b5p PyEval_EvalFrameEx + 29893
17      0x7ffbea1ef4b6p
18      0x7ffbea1ec5b5p PyEval_EvalFrameEx + 29893
19      0x7ffbea1ef4b6p
20      0x7ffbea1ec5b5p PyEval_EvalFrameEx + 29893
21      0x7ffbea1ed1d0p PyEval_EvalFrameEx + 32992
22      0x7ffbea1ef4b6p
23      0x7ffbea1ef5a8p PyEval_EvalCodeEx + 72
24      0x7ffbea1ef5ebp PyEval_EvalCode + 59
25      0x7ffbea21fa02p PyRun_FileExFlags + 178
26      0x7ffbea21fb67p PyRun_SimpleFileExFlags + 231
27      0x7ffbea23cd2cp Py_Main + 3676
28            0x400b54p main + 356
29      0x7ffbe91b0830p __libc_start_main + 240
30            0x400c01p
gajydyqb

gajydyqb1#

我再补充下程序部分:

我只修改了 NUM_CLASSES = 95NUM_CLASSES = 3920

DATA_SHAPE = [1, 48, 512]DATA_SHAPE = [1, 48, 2560]

数据集换了一下(官方的中文数据集,height和crnn_ctc的默认数据集一样都是48)

train.list的数据我也改成了原先程序需要的数字序列格式(字符Map为数字)

u5rb5r59

u5rb5r592#

log显示您label设置的lod不对,你可以在这句之前添加如下语句:

fluid.layers.Print(label_out, message="label_out", summarize=10)

Print op
麻烦您将添加上述语句后执行打印的log贴到这里?

jpfvwuh4

jpfvwuh43#

-----------  Configuration Arguments -----------
average_window: 0.15
batch_size: 16
eval_period: 15000
init_model: None
log_period: 1000
max_average_window: 12500
min_average_window: 10000
model: attention
parallel: False
profile: False
save_model_dir: ./models_attention
save_model_period: 15000
skip_batch_num: 0
skip_test: 1
test_images: work/dataset/ocr_chinese/train_images
test_list: train.list
total_step: 720000
train_images: work/dataset/ocr_chinese/train_images
train_list: train.list
use_gpu: 1
------------------------------------------------
/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/evaluator.py:71: Warning: The EditDistance is deprecated, because maintain a modified program inside evaluator cause bug easily, please use fluid.metrics.EditDistance instead.
  % (self.__class__.__name__, self.__class__.__name__), Warning)
finish batch shuffle
W0730 09:08:12.928053   145 device_context.cc:259] Please NOTE: device: 0, CUDA Capability: 70, Driver API Version: 9.2, Runtime API Version: 9.0
W0730 09:08:12.931005   145 device_context.cc:267] device: 0, cuDNN Version: 7.3.
1564448894	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [112,1,]
	dtype: l
	LoD: [[ 0,9,16,27,32,38,48,54,61,68,76,85,90,95,100,104,112, ]]
	data: 2765,167,1024,2328,476,433,2726,346,1,177,
1564448894	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [93,1,]
	dtype: l
	LoD: [[ 0,6,13,27,30,35,39,48,52,58,65,70,75,81,85,90,93, ]]
	data: 2102,1966,3043,3030,3492,1,1268,2765,1544,2460,
1564448894	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [92,1,]
	dtype: l
	LoD: [[ 0,5,8,13,17,22,30,36,39,43,47,52,57,64,68,72,92, ]]
	data: 2391,3742,3816,1733,1,2318,686,1,1840,1561,
1564448895	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [39,1,]
	dtype: l
	LoD: [[ 0,2,4,7,9,11,13,15,21,24,26,29,31,33,35,37,39, ]]
	data: 3385,1,341,1,882,625,1,1190,1,2790,
1564448895	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [275,1,]
	dtype: l
	LoD: [[ 0,12,26,57,72,84,97,111,141,149,158,168,189,204,233,248,275, ]]
	data: 1630,386,2942,775,2508,538,1928,999,1133,3647,
1564448895	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [61,1,]
	dtype: l
	LoD: [[ 0,3,6,10,13,17,23,28,32,36,40,42,46,49,53,58,61, ]]
	data: 160,553,1,1903,3358,1,396,2211,999,1,
1564448895	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [74,1,]
	dtype: l
	LoD: [[ 0,3,6,10,15,28,31,34,37,46,50,55,60,63,66,71,74, ]]
	data: 44,38,1,1233,285,1,17,19,71,1,
1564448895	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [132,1,]
	dtype: l
	LoD: [[ 0,4,9,13,27,32,37,79,84,96,101,106,110,120,123,129,132, ]]
	data: 780,3462,1530,1,1818,2942,1135,573,1,2041,
1564448895	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [71,1,]
	dtype: l
	LoD: [[ 0,4,11,23,26,29,32,35,38,40,43,46,49,54,57,61,71, ]]
	data: 151,2201,185,1,1561,3848,3771,1669,0,2898,
1564448895	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [87,1,]
	dtype: l
	LoD: [[ 0,5,9,18,22,27,32,37,42,47,52,56,61,74,78,83,87, ]]
	data: 34,39,32,45,1,3198,2356,510,1,23,
1564448896	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [71,1,]
	dtype: l
	LoD: [[ 0,6,11,14,17,22,27,32,36,40,44,48,53,58,63,67,71, ]]
	data: 1684,3648,160,553,1188,1,964,379,911,2643,
1564448896	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [113,1,]
	dtype: l
	LoD: [[ 0,11,16,22,29,34,41,46,51,58,70,74,79,91,97,106,113, ]]
	data: 155,1993,1153,1341,2454,1927,1642,3664,396,618,
1564448896	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [248,1,]
	dtype: l
	LoD: [[ 0,14,41,57,72,86,102,118,130,144,161,174,197,212,225,232,248, ]]
	data: 1896,3649,554,329,3565,1669,0,1179,167,1934,
1564448896	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [45,1,]
	dtype: l
	LoD: [[ 0,3,7,9,11,14,19,23,26,28,30,34,36,38,41,43,45, ]]
	data: 2416,406,1,510,504,386,1,1476,1,1048,
1564448896	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [79,1,]
	dtype: l
	LoD: [[ 0,5,22,27,30,33,36,39,42,46,54,62,64,67,70,76,79, ]]
	data: 1418,2813,2754,2625,1,2812,2667,2328,3231,25,
1564448896	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [71,1,]
	dtype: l
	LoD: [[ 0,4,11,15,18,21,24,28,33,37,50,53,58,61,65,68,71, ]]
	data: 223,2653,2516,1,1958,1925,3061,2922,2704,406,
1564448896	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [130,1,]
	dtype: l
	LoD: [[ 0,5,10,19,24,29,34,47,55,65,70,78,86,91,104,118,130, ]]
	data: 2391,316,917,231,1,1135,2553,1382,596,1,
1564448896	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,3,6,18,23,28,32,37,52,55,60,63,68,73,76,79,83, ]]
	data: 1667,1024,1,542,2391,1,16,18,18,18,
1564448896	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [150,1,]
	dtype: l
	LoD: [[ 0,8,33,38,45,55,67,77,84,90,102,109,115,124,139,145,150, ]]
	data: 281,3285,883,2169,2458,1934,1881,1,2812,2667,
1564448896	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [93,1,]
	dtype: l
	LoD: [[ 0,5,9,15,18,23,28,32,36,40,45,52,59,67,70,74,93, ]]
	data: 40,34,33,34,1,57,39,52,1,1024,
1564448896	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [226,1,]
	dtype: l
	LoD: [[ 0,16,31,39,49,85,100,116,121,135,150,162,174,186,198,213,226, ]]
	data: 177,780,400,231,391,1179,1132,1148,1993,2270,
1564448897	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [171,1,]
	dtype: l
	LoD: [[ 0,15,29,37,45,55,63,70,77,84,88,97,106,114,147,157,171, ]]
	data: 2328,3231,25,16,21,21,22,23,21,19,
1564448897	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [127,1,]
	dtype: l
	LoD: [[ 0,12,27,32,41,47,54,59,72,77,88,93,100,105,115,123,127, ]]
	data: 33,68,68,51,75,68,0,39,78,84,
1564448897	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [108,1,]
	dtype: l
	LoD: [[ 0,6,10,27,40,45,51,56,61,66,74,80,85,90,95,99,108, ]]
	data: 45,0,33,32,46,1,3791,3775,2249,1,
1564448897	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [194,1,]
	dtype: l
	LoD: [[ 0,12,19,31,36,52,62,73,86,99,110,117,133,148,161,172,194, ]]
	data: 17,15,15,3418,17,15,133,3419,2393,2256,
1564448897	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [208,1,]
	dtype: l
	LoD: [[ 0,9,14,29,44,58,67,81,97,112,141,154,163,168,183,198,208, ]]
	data: 1693,1548,2790,1152,3292,3399,3194,2598,1,1915,
1564448897	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [76,1,]
	dtype: l
	LoD: [[ 0,5,9,14,19,22,27,32,38,44,48,53,56,61,66,70,76, ]]
	data: 963,2507,1181,406,1,1838,3002,3689,1,3035,
1564448897	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [66,1,]
	dtype: l
	LoD: [[ 0,3,6,9,11,13,17,21,24,28,31,33,36,41,54,59,66, ]]
	data: 2526,2526,1,18,18,1,55,35,1,86,
1564448897	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [64,1,]
	dtype: l
	LoD: [[ 0,5,9,12,16,23,26,29,32,36,39,42,47,52,57,60,64, ]]
	data: 17,20,24,617,1,269,18,20,1,3910,
1564448898	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [270,1,]
	dtype: l
	LoD: [[ 0,12,39,68,79,102,118,130,146,153,170,189,198,209,234,253,270, ]]
	data: 3406,1172,204,3406,1087,2863,2393,1087,538,422,
1564448898	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [345,1,]
	dtype: l
	LoD: [[ 0,13,36,59,80,92,106,123,152,173,208,228,253,265,293,312,345, ]]
	data: 1843,1889,1759,285,966,1345,717,3295,1642,3664,
1564448898	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [118,1,]
	dtype: l
	LoD: [[ 0,5,12,23,29,34,39,44,54,59,66,73,100,105,110,114,118, ]]
	data: 1581,3197,2153,2151,1,554,1888,3068,3023,2421,
1564448898	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [60,1,]
	dtype: l
	LoD: [[ 0,3,8,11,14,17,23,28,31,36,39,45,49,51,54,57,60, ]]
	data: 3358,1185,1,2765,3771,2765,1014,1,16,15,
1564448898	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [38,1,]
	dtype: l
	LoD: [[ 0,4,6,8,11,13,15,17,19,21,24,27,29,31,33,36,38, ]]
	data: 3901,3914,1896,1,1016,1,565,1,16,20,
1564448898	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [128,1,]
	dtype: l
	LoD: [[ 0,5,14,20,25,30,35,41,47,52,56,78,84,94,111,116,128, ]]
	data: 3324,945,2328,1897,1,547,1205,1135,3295,848,
1564448898	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [104,1,]
	dtype: l
	LoD: [[ 0,5,9,22,33,38,41,44,48,52,56,59,62,67,75,100,104, ]]
	data: 552,3627,451,2543,1,167,1993,1098,1,15,
1564448898	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [43,1,]
	dtype: l
	LoD: [[ 0,3,6,8,11,13,15,18,23,25,28,30,34,36,38,40,43, ]]
	data: 53,51,1,2765,664,1,977,1,1541,3492,
1564448898	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [39,1,]
	dtype: l
	LoD: [[ 0,3,5,8,10,12,14,16,19,21,23,28,30,32,34,36,39, ]]
	data: 1260,504,1,1179,1,467,2765,1,316,1,
1564448898	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [98,1,]
	dtype: l
	LoD: [[ 0,4,9,17,22,33,38,42,48,53,58,64,67,74,85,94,98, ]]
	data: 3795,1054,3839,1,1226,2319,1475,2829,1,16,
1564448898	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [43,1,]
	dtype: l
	LoD: [[ 0,3,8,11,13,15,17,19,24,27,29,31,33,35,38,41,43, ]]
	data: 2187,2820,1,3358,1182,502,1135,1,16,22,
1564448899	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [159,1,]
	dtype: l
	LoD: [[ 0,5,13,23,31,42,49,64,75,85,96,105,117,125,143,152,159, ]]
	data: 1588,386,1565,2508,1,2257,3247,2976,3778,2390,
1564448899	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [105,1,]
	dtype: l
	LoD: [[ 0,5,10,13,20,33,45,51,54,61,66,73,79,87,95,100,105, ]]
	data: 2581,1958,1179,654,1,21,16,16,16,1,
1564448899	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [64,1,]
	dtype: l
	LoD: [[ 0,4,7,12,17,20,25,29,33,36,41,45,49,52,55,58,64, ]]
	data: 18,16,17,1,3582,711,1,1179,167,2218,
1564448899	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [92,1,]
	dtype: l
	LoD: [[ 0,5,12,15,21,25,30,35,40,45,59,65,70,75,81,87,92, ]]
	data: 2526,472,1234,2519,1,38,49,36,36,1738,
1564448899	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [39,1,]
	dtype: l
	LoD: [[ 0,5,9,11,14,16,18,20,22,24,26,29,31,33,35,37,39, ]]
	data: 2391,217,612,197,1,381,14,272,1,596,
1564448899	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [104,1,]
	dtype: l
	LoD: [[ 0,10,17,26,35,40,46,52,56,61,66,71,79,85,90,95,104, ]]
	data: 1382,596,3698,711,0,3491,3418,1644,503,1,
1564448899	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [72,1,]
	dtype: l
	LoD: [[ 0,9,12,16,20,25,30,33,37,41,45,50,55,60,64,68,72, ]]
	data: 76,72,77,72,12,71,64,87,1,386,
1564448899	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [41,1,]
	dtype: l
	LoD: [[ 0,5,9,11,13,15,17,19,21,23,28,30,32,34,36,39,41, ]]
	data: 1260,504,1355,791,1,0,767,767,1,49,
1564448899	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [38,1,]
	dtype: l
	LoD: [[ 0,2,4,6,9,11,13,15,17,20,23,26,29,31,33,35,38, ]]
	data: 32,1,794,1,2112,1,3690,1345,1,2848,
1564448899	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [131,1,]
	dtype: l
	LoD: [[ 0,5,11,26,32,38,48,61,68,73,87,98,105,110,115,121,131, ]]
	data: 999,530,3901,2976,1,1111,1024,2328,2726,346,
1564448899	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [107,1,]
	dtype: l
	LoD: [[ 0,5,10,16,22,26,35,39,43,52,60,65,78,87,92,100,107, ]]
	data: 177,582,794,231,1,50,39,46,47,1,
1564448899	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [70,1,]
	dtype: l
	LoD: [[ 0,3,9,13,17,22,27,31,36,43,47,50,54,59,62,66,70, ]]
	data: 44,36,1,42,64,81,81,88,1,2328,
1564448899	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [93,1,]
	dtype: l
	LoD: [[ 0,7,11,15,18,24,29,32,38,45,61,67,78,82,87,90,93, ]]
	data: 210,1772,3154,3418,3175,977,1,68,77,70,
1564448900	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [102,1,]
	dtype: l
	LoD: [[ 0,5,14,19,24,30,37,52,56,62,66,70,76,81,92,97,102, ]]
	data: 883,156,2976,240,1,364,1635,913,2393,1915,
1564448900	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [36,1,]
	dtype: l
	LoD: [[ 0,3,5,7,9,12,14,17,19,21,23,25,27,30,32,34,36, ]]
	data: 3045,2936,1,1476,1,2581,1,16,1,882,
1564448900	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [65,1,]
	dtype: l
	LoD: [[ 0,3,8,17,20,23,27,30,33,36,43,47,51,54,57,60,65, ]]
	data: 1882,1840,1,573,1024,2421,3582,1,3698,3338,
1564448900	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [151,1,]
	dtype: l
	LoD: [[ 0,16,31,44,54,62,68,74,82,88,99,106,113,129,136,144,151, ]]
	data: 45,46,13,15,16,23,22,17,20,0,
1564448900	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [351,1,]
	dtype: l
	LoD: [[ 0,47,124,199,262,306,310,313,316,324,328,330,333,336,341,344,351, ]]
	data: 720,731,2010,577,0,2570,3247,2625,0,3565,
1564448901	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [91,1,]
	dtype: l
	LoD: [[ 0,3,6,9,12,15,19,24,32,38,45,64,69,76,80,85,91, ]]
	data: 3201,926,1,1749,1434,1,19,23,1,177,
1564448901	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [106,1,]
	dtype: l
	LoD: [[ 0,15,25,30,33,37,41,52,59,67,76,81,86,90,95,101,106, ]]
	data: 51,49,32,37,37,40,34,0,47,46,
1564448901	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [292,1,]
	dtype: l
	LoD: [[ 0,4,9,14,27,32,86,99,124,151,162,178,196,222,237,282,292, ]]
	data: 913,3470,1075,1,624,2844,1410,1899,1,3741,
1564448901	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [293,1,]
	dtype: l
	LoD: [[ 0,35,56,68,111,133,149,163,185,205,217,233,245,256,273,282,293, ]]
	data: 3418,1881,2157,2695,25,23,21,21,24,21,
1564448901	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [119,1,]
	dtype: l
	LoD: [[ 0,13,28,37,68,86,89,94,96,100,103,107,109,111,114,117,119, ]]
	data: 547,554,2275,1135,882,990,1135,717,2625,2275,
1564448901	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [95,1,]
	dtype: l
	LoD: [[ 0,2,4,6,9,12,17,29,37,42,46,51,59,70,77,90,95, ]]
	data: 2202,1,165,1,2765,1,604,2253,1,1049,
1564448901	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [195,1,]
	dtype: l
	LoD: [[ 0,6,15,23,29,41,51,68,81,93,100,108,118,129,155,177,195, ]]
	data: 3689,2782,2275,596,1188,1,36,43,36,34,
1564448901	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [100,1,]
	dtype: l
	LoD: [[ 0,8,21,32,43,55,58,62,64,67,84,87,90,93,95,97,100, ]]
	data: 3619,132,3517,822,3619,132,623,1,2942,1674,
1564448901	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [54,1,]
	dtype: l
	LoD: [[ 0,3,5,8,10,12,17,19,24,27,30,33,38,42,46,50,54, ]]
	data: 3280,2053,1,155,1,1738,498,1,990,1,
1564448902	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [63,1,]
	dtype: l
	LoD: [[ 0,2,5,7,10,15,18,29,32,35,40,44,50,53,56,60,63, ]]
	data: 960,1,815,2330,1,3362,1,2785,2395,1,
1564448902	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [66,1,]
	dtype: l
	LoD: [[ 0,3,6,10,14,18,31,36,39,42,45,49,52,55,59,63,66, ]]
	data: 1710,596,1,931,219,1,2083,2332,1098,1,
1564448902	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [41,1,]
	dtype: l
	LoD: [[ 0,3,6,9,12,15,19,21,23,25,28,30,32,34,36,38,41, ]]
	data: 2961,1694,1,1899,25,1,47,42,1,2416,
1564448902	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [51,1,]
	dtype: l
	LoD: [[ 0,2,5,7,9,11,23,26,28,31,33,35,40,42,45,47,51, ]]
	data: 197,1,21,23,1,1012,1,1014,1,767,
1564448902	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,2,7,9,11,13,17,23,29,32,38,47,57,63,67,79,83, ]]
	data: 882,1,1831,3397,386,180,1,177,1,3492,
1564448902	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [70,1,]
	dtype: l
	LoD: [[ 0,5,9,13,16,26,29,34,37,42,45,49,52,55,61,67,70, ]]
	data: 1831,3397,386,180,1,1207,1461,3583,1,608,
1564448902	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [94,1,]
	dtype: l
	LoD: [[ 0,4,8,13,16,19,23,31,40,45,50,55,70,78,83,88,94, ]]
	data: 1560,1010,226,1,40,34,39,1,17,15,
1564448902	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [82,1,]
	dtype: l
	LoD: [[ 0,15,21,36,41,53,56,59,61,67,69,71,73,75,77,79,82, ]]
	data: 2328,3231,25,16,23,15,18,22,18,24,
1564448902	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [43,1,]
	dtype: l
	LoD: [[ 0,3,5,7,10,13,16,18,21,23,27,30,32,35,38,41,43, ]]
	data: 16,24,1,538,1,3777,1,177,2997,1,
1564448902	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [66,1,]
	dtype: l
	LoD: [[ 0,2,5,8,11,13,18,20,23,28,31,43,47,50,52,56,66, ]]
	data: 1881,1,1010,3276,1,17,19,1,3512,3672,
1564448903	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [65,1,]
	dtype: l
	LoD: [[ 0,2,5,9,11,15,20,26,31,36,39,45,48,51,54,62,65, ]]
	data: 1794,1,24,23,1,662,3362,2628,1,38,
1564448903	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [78,1,]
	dtype: l
	LoD: [[ 0,4,8,10,12,14,19,27,30,35,39,48,58,63,68,73,78, ]]
	data: 977,628,3726,1,1137,197,2063,1,54,1,
1564448903	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [92,1,]
	dtype: l
	LoD: [[ 0,9,14,21,26,31,36,42,45,50,56,59,64,67,84,89,92, ]]
	data: 2765,1026,2765,304,408,2319,283,1355,1,1171,
1564448903	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [115,1,]
	dtype: l
	LoD: [[ 0,3,7,13,22,26,33,42,48,52,59,65,84,90,102,110,115, ]]
	data: 883,2860,1,3733,197,775,1,53,40,34,
1564448903	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [356,1,]
	dtype: l
	LoD: [[ 0,9,15,62,67,72,86,113,148,170,193,223,251,275,299,329,356, ]]
	data: 18,24,23,23,21,24,21,24,1,1179,
1564448903	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [142,1,]
	dtype: l
	LoD: [[ 0,21,30,46,84,116,118,121,123,126,128,130,132,135,138,140,142, ]]
	data: 218,1794,527,3627,3205,1195,2328,3231,25,16,
1564448903	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [86,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,10,24,33,45,51,56,61,66,70,76,81,86, ]]
	data: 3492,1,1409,1,865,1,3184,1,21,1,
1564448903	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [373,1,]
	dtype: l
	LoD: [[ 0,5,12,17,30,50,94,115,148,187,217,250,280,302,323,345,373, ]]
	data: 3520,366,603,2878,1,33,52,43,43,396,
1564448903	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [181,1,]
	dtype: l
	LoD: [[ 0,5,19,41,68,103,109,116,122,128,134,140,145,159,167,175,181, ]]
	data: 1561,2911,791,2695,1,2047,1896,883,2169,1993,
1564448904	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [57,1,]
	dtype: l
	LoD: [[ 0,4,9,14,19,24,26,29,33,36,39,42,44,47,50,54,57, ]]
	data: 3582,711,3480,1,629,1694,2898,3278,1,647,
1564448904	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [82,1,]
	dtype: l
	LoD: [[ 0,2,5,8,10,12,17,22,38,46,49,54,59,68,72,77,82, ]]
	data: 3023,1,647,2415,1,3270,1773,1,1078,1,
1564448904	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [125,1,]
	dtype: l
	LoD: [[ 0,5,12,17,21,30,37,54,58,62,67,76,87,91,101,119,125, ]]
	data: 2949,994,1590,3289,1,50,52,45,40,45,
1564448904	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [115,1,]
	dtype: l
	LoD: [[ 0,8,15,27,34,39,45,50,62,67,72,84,94,99,106,110,115, ]]
	data: 1418,2161,1135,132,1418,1054,1135,1,2976,1548,
1564448904	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [105,1,]
	dtype: l
	LoD: [[ 0,12,17,22,37,47,52,57,62,67,71,76,82,89,94,100,105, ]]
	data: 47,78,72,77,83,99,46,50,43,32,
1564448904	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [118,1,]
	dtype: l
	LoD: [[ 0,4,9,18,26,38,44,53,63,68,77,82,87,101,107,113,118, ]]
	data: 3896,3385,2156,1,1010,3276,3154,1826,1,3519,
1564448904	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [64,1,]
	dtype: l
	LoD: [[ 0,11,15,24,32,37,39,41,43,45,47,49,53,55,57,59,64, ]]
	data: 47,32,51,40,50,50,36,49,40,36,
1564448904	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [113,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,12,16,32,40,47,52,58,65,70,79,98,113, ]]
	data: 500,1,1054,1,56,1,10,1,381,14,
1564448904	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [103,1,]
	dtype: l
	LoD: [[ 0,7,33,43,48,54,58,63,67,73,77,84,86,89,93,98,103, ]]
	data: 15,24,21,16,16,16,1,3231,25,16,
1564448904	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [60,1,]
	dtype: l
	LoD: [[ 0,4,9,12,15,18,21,24,26,31,34,39,42,46,50,55,60, ]]
	data: 2790,3431,833,1,33,64,77,74,1,1418,
1564448904	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [152,1,]
	dtype: l
	LoD: [[ 0,3,10,13,16,20,30,41,50,63,74,88,104,115,130,140,152, ]]
	data: 1418,2813,1,1865,3619,1156,1915,596,1146,1,
1564448905	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [165,1,]
	dtype: l
	LoD: [[ 0,15,24,49,64,77,81,84,89,93,98,106,111,147,156,159,165, ]]
	data: 2328,3231,25,16,24,24,24,19,17,17,
1564448905	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,15,20,25,30,34,39,45,56,62,67,71,78,82,87,92,99, ]]
	data: 2328,3231,25,16,18,16,20,21,15,16,
1564448905	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [103,1,]
	dtype: l
	LoD: [[ 0,5,10,43,53,57,61,69,72,75,80,84,87,90,95,99,103, ]]
	data: 223,3520,1135,405,1,1205,593,2976,165,1,
1564448905	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [97,1,]
	dtype: l
	LoD: [[ 0,3,6,11,15,20,25,35,47,54,62,67,71,81,87,92,97, ]]
	data: 3520,2424,1,2765,773,1,85,72,85,78,
1564448905	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [107,1,]
	dtype: l
	LoD: [[ 0,11,16,28,34,40,43,47,69,75,80,84,87,92,97,101,107, ]]
	data: 16,23,15,19,17,20,24,15,15,17,
1564448905	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [49,1,]
	dtype: l
	LoD: [[ 0,5,10,15,18,21,23,25,28,31,33,35,38,40,42,45,49, ]]
	data: 3898,3520,1028,3793,1,43,40,34,36,1,
1564448905	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [70,1,]
	dtype: l
	LoD: [[ 0,3,9,11,14,17,22,25,32,35,39,42,55,58,62,65,70, ]]
	data: 1642,1359,1,711,629,1644,503,2140,1,2429,
1564448905	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [88,1,]
	dtype: l
	LoD: [[ 0,6,11,14,17,21,26,32,36,45,52,58,64,71,78,83,88, ]]
	data: 52,43,43,396,2211,1,64,79,79,56,
1564448905	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [98,1,]
	dtype: l
	LoD: [[ 0,5,10,15,21,27,34,39,45,57,65,70,78,83,88,94,98, ]]
	data: 883,3742,775,1188,1,547,2540,167,3342,1,
1564448905	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [132,1,]
	dtype: l
	LoD: [[ 0,24,29,34,44,51,56,66,74,80,87,94,99,112,117,124,132, ]]
	data: 3218,3245,2553,25,177,780,2909,0,1409,150,
1564448905	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [114,1,]
	dtype: l
	LoD: [[ 0,27,32,44,51,79,84,87,92,94,97,99,102,106,109,112,114, ]]
	data: 2328,3231,25,16,20,23,23,21,21,21,
1564448906	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [46,1,]
	dtype: l
	LoD: [[ 0,2,5,7,10,13,15,18,20,23,25,27,32,34,40,43,46, ]]
	data: 55,1,43,68,1,603,1,1054,622,1,
1564448906	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,3,6,9,11,14,19,24,28,35,40,48,53,56,61,68,83, ]]
	data: 162,2681,1,1054,990,1,1216,2526,1,617,
1564448906	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [85,1,]
	dtype: l
	LoD: [[ 0,9,13,19,25,32,36,39,43,48,53,57,62,66,77,82,85, ]]
	data: 177,2538,316,2926,1640,629,149,1942,1,2812,
1564448906	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [97,1,]
	dtype: l
	LoD: [[ 0,3,6,10,15,18,26,31,36,44,49,55,64,78,83,91,97, ]]
	data: 473,2218,1,882,3644,1,19,18,19,1,
1564448906	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [67,1,]
	dtype: l
	LoD: [[ 0,11,23,31,36,40,42,44,46,48,51,53,55,58,60,65,67, ]]
	data: 16,18,20,19,20,17,21,22,24,16,
1564448906	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [64,1,]
	dtype: l
	LoD: [[ 0,3,5,7,9,11,14,20,26,30,35,40,43,51,54,59,64, ]]
	data: 1234,2922,1,2540,1,177,1,1260,1,1054,
1564448906	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [386,1,]
	dtype: l
	LoD: [[ 0,3,6,10,15,22,47,82,118,162,198,233,299,329,354,382,386, ]]
	data: 3513,366,1,1565,3793,1,840,197,858,1,
1564448906	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [254,1,]
	dtype: l
	LoD: [[ 0,16,43,74,95,110,119,124,174,181,189,200,210,218,223,237,254, ]]
	data: 1860,269,1738,0,1860,3285,3519,0,1860,1835,
1564448907	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [98,1,]
	dtype: l
	LoD: [[ 0,9,15,24,28,36,41,46,52,57,62,70,75,80,85,90,98, ]]
	data: 1054,2018,1869,686,2209,2588,3170,1188,1,2857,
1564448907	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [180,1,]
	dtype: l
	LoD: [[ 0,7,13,19,24,28,45,51,62,79,94,110,120,130,153,166,180, ]]
	data: 547,193,1111,157,3587,3539,1,2650,402,3526,
1564448907	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [151,1,]
	dtype: l
	LoD: [[ 0,30,41,62,73,86,96,105,109,114,119,123,128,134,139,144,151, ]]
	data: 3773,3358,0,2150,2759,0,2260,2299,3619,0,
1564448907	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [65,1,]
	dtype: l
	LoD: [[ 0,5,10,14,22,28,32,38,41,44,47,50,53,56,60,63,65, ]]
	data: 50,52,44,44,1,34,49,34,34,1,
1564448907	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [100,1,]
	dtype: l
	LoD: [[ 0,3,8,11,14,19,22,26,34,40,45,59,66,77,84,89,100, ]]
	data: 2942,3484,1,37,12,15,22,1,3893,381,
1564448907	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [165,1,]
	dtype: l
	LoD: [[ 0,3,7,13,16,21,30,43,58,64,76,83,91,144,150,159,165, ]]
	data: 3363,2847,1,1993,833,1188,1,40,47,1260,
1564448907	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [204,1,]
	dtype: l
	LoD: [[ 0,11,26,49,56,62,68,96,108,114,126,136,157,167,175,185,204, ]]
	data: 82,84,77,72,77,70,13,66,78,76,
1564448907	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [114,1,]
	dtype: l
	LoD: [[ 0,16,31,55,63,72,77,80,83,87,92,95,99,102,107,110,114, ]]
	data: 51,36,43,25,21,23,20,23,22,18,
1564448907	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [129,1,]
	dtype: l
	LoD: [[ 0,4,7,10,13,18,28,36,44,59,71,79,94,103,108,115,129, ]]
	data: 32,40,35,1,396,618,1,2732,2976,1,
1564448908	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [186,1,]
	dtype: l
	LoD: [[ 0,16,28,42,59,66,78,90,98,114,130,135,142,147,153,181,186, ]]
	data: 165,1580,3627,25,16,15,25,18,15,12,
1564448908	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [72,1,]
	dtype: l
	LoD: [[ 0,8,17,24,29,36,38,46,48,51,53,55,57,59,63,65,72, ]]
	data: 882,686,2209,0,3324,300,269,1,3375,2172,
1564448908	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [112,1,]
	dtype: l
	LoD: [[ 0,2,5,7,10,13,20,33,38,53,62,69,76,83,98,104,112, ]]
	data: 977,1,66,79,1,2551,1,1436,575,1,
1564448908	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [121,1,]
	dtype: l
	LoD: [[ 0,10,15,27,40,46,51,55,62,74,78,91,99,104,109,114,121, ]]
	data: 2604,223,3445,3023,99,883,794,870,617,1,
1564448908	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [67,1,]
	dtype: l
	LoD: [[ 0,8,14,19,28,35,38,40,42,47,51,53,55,59,62,64,67, ]]
	data: 2668,2508,3151,3445,500,217,871,1,2539,3491,
1564448908	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [93,1,]
	dtype: l
	LoD: [[ 0,2,5,7,12,14,19,24,29,34,40,68,74,79,84,89,93, ]]
	data: 49,1,20,15,1,1409,1,2045,554,2328,
1564448908	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [127,1,]
	dtype: l
	LoD: [[ 0,5,9,14,18,23,27,34,39,45,68,81,93,98,105,119,127, ]]
	data: 396,400,578,1355,1,3324,1148,596,1,780,
1564448908	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [175,1,]
	dtype: l
	LoD: [[ 0,15,22,32,45,52,66,77,83,88,99,106,113,119,124,129,175, ]]
	data: 2328,3231,0,16,23,22,20,17,21,17,
1564448908	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [102,1,]
	dtype: l
	LoD: [[ 0,10,15,23,34,43,52,55,58,62,68,76,80,86,94,98,102, ]]
	data: 3339,3349,2625,2275,0,341,1291,678,3233,1,
1564448908	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [103,1,]
	dtype: l
	LoD: [[ 0,5,10,14,21,26,31,36,41,61,66,74,83,88,93,98,103, ]]
	data: 177,3459,2328,2867,1,379,2588,197,775,1,
1564448909	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [126,1,]
	dtype: l
	LoD: [[ 0,4,8,24,28,33,38,47,54,62,67,84,91,100,106,113,126, ]]
	data: 157,1363,3526,1,3,3,3,1,33,78,
1564448909	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [60,1,]
	dtype: l
	LoD: [[ 0,8,18,23,29,34,37,39,41,45,47,49,51,53,55,58,60, ]]
	data: 52,43,40,50,36,32,43,1,229,3431,
1564448909	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [58,1,]
	dtype: l
	LoD: [[ 0,3,5,8,10,12,18,21,24,28,32,36,40,45,49,52,58, ]]
	data: 395,149,1,1709,1,16,17,1,386,1,
1564448909	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [55,1,]
	dtype: l
	LoD: [[ 0,4,11,17,21,24,26,28,31,36,38,40,45,47,51,53,55, ]]
	data: 2211,2820,1881,1,177,780,1205,3218,3578,3148,
1564448909	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [150,1,]
	dtype: l
	LoD: [[ 0,2,6,8,13,15,25,32,44,61,70,79,87,94,130,142,150, ]]
	data: 155,1,3035,165,2900,1,38,1,1024,2328,
1564448909	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [77,1,]
	dtype: l
	LoD: [[ 0,6,16,22,29,37,41,45,48,53,57,60,64,68,71,74,77, ]]
	data: 2570,3247,1354,451,2543,1,1179,654,2209,0,
1564448909	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [202,1,]
	dtype: l
	LoD: [[ 0,3,5,10,13,16,53,70,78,85,121,127,144,153,163,193,202, ]]
	data: 2726,346,1,3329,1,32,40,56,44,1,
1564448909	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [89,1,]
	dtype: l
	LoD: [[ 0,10,17,29,39,52,54,59,62,65,68,74,76,80,83,86,89, ]]
	data: 108,64,83,78,0,226,3673,563,1992,1,
1564448909	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,3,6,9,13,16,23,31,38,47,55,62,68,76,85,90,99, ]]
	data: 19,23,1,54,46,1,500,3220,1,1280,
1564448909	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [171,1,]
	dtype: l
	LoD: [[ 0,5,11,18,25,31,47,52,68,76,110,119,127,135,145,158,171, ]]
	data: 1061,686,3619,165,1,2329,909,157,979,2361,
1564448910	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [113,1,]
	dtype: l
	LoD: [[ 0,18,28,37,44,49,54,61,64,71,78,83,88,91,102,108,113, ]]
	data: 45,46,13,34,19,20,17,12,16,22,
1564448910	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [98,1,]
	dtype: l
	LoD: [[ 0,5,10,14,21,26,40,47,52,56,60,73,79,84,89,93,98, ]]
	data: 185,3188,2704,3035,1,286,2714,2112,3586,1,
1564448910	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [88,1,]
	dtype: l
	LoD: [[ 0,5,9,19,27,32,35,40,45,48,60,68,72,76,80,83,88, ]]
	data: 883,883,3722,3771,1,433,3848,2820,1,3520,
1564448910	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [70,1,]
	dtype: l
	LoD: [[ 0,5,10,16,19,23,25,28,32,38,41,43,47,56,60,64,70, ]]
	data: 68,64,82,88,1,3320,218,2820,3580,1,
1564448910	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [55,1,]
	dtype: l
	LoD: [[ 0,3,5,7,10,14,17,20,23,25,30,35,39,44,47,50,55, ]]
	data: 654,1728,1,3848,1,2922,1,24,17,1,
1564448910	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [153,1,]
	dtype: l
	LoD: [[ 0,3,7,9,13,20,38,51,57,63,70,78,91,101,113,140,153, ]]
	data: 2765,596,1,2454,2960,2454,1,3141,1,23,
1564448910	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [79,1,]
	dtype: l
	LoD: [[ 0,18,25,35,46,53,55,58,61,63,65,67,70,72,75,77,79, ]]
	data: 877,553,2157,2695,25,0,16,20,23,17,
1564448910	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [105,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,13,17,21,25,32,37,41,49,52,95,100,105, ]]
	data: 874,1,49,1,1476,1,1207,1,2745,2690,
1564448910	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [69,1,]
	dtype: l
	LoD: [[ 0,6,11,15,19,22,25,28,31,36,40,45,49,53,60,65,69, ]]
	data: 57,37,12,42,56,1,1363,981,874,565,
1564448910	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [100,1,]
	dtype: l
	LoD: [[ 0,3,6,9,14,17,22,29,44,48,53,59,64,69,82,93,100, ]]
	data: 167,328,1,554,3619,1,1399,3037,1,24,
1564448911	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [89,1,]
	dtype: l
	LoD: [[ 0,5,9,19,24,32,38,42,46,54,58,62,66,71,75,86,89, ]]
	data: 1889,1196,3492,1188,1,2275,596,1188,1,3638,
1564448911	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [100,1,]
	dtype: l
	LoD: [[ 0,3,10,16,21,35,41,46,51,57,61,65,69,73,78,95,100, ]]
	data: 1354,231,1,542,2924,3732,1212,2765,916,1,
1564448911	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [60,1,]
	dtype: l
	LoD: [[ 0,4,8,16,30,35,37,39,41,43,45,47,49,51,53,55,60, ]]
	data: 2218,473,3205,1,149,686,3802,1,73,72,
1564448911	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [122,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,10,20,26,40,54,61,71,78,86,95,110,122, ]]
	data: 1409,1,1319,1,1409,1,2526,1,1290,1,
1564448911	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [72,1,]
	dtype: l
	LoD: [[ 0,7,16,22,31,48,50,52,54,56,58,60,62,64,67,70,72, ]]
	data: 1620,1620,3833,2590,544,1365,1,177,780,3462,
1564448911	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [45,1,]
	dtype: l
	LoD: [[ 0,2,5,7,11,13,15,17,19,22,24,29,31,33,40,42,45, ]]
	data: 52,1,77,70,1,2016,1,155,17,1794,
1564448911	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [80,1,]
	dtype: l
	LoD: [[ 0,3,5,10,15,17,20,45,48,52,56,60,65,68,71,76,80, ]]
	data: 1831,3397,1,775,1,1433,3525,3492,1188,1,
1564448911	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [86,1,]
	dtype: l
	LoD: [[ 0,6,10,14,19,25,31,36,40,45,50,56,64,69,74,79,86, ]]
	data: 1171,3586,0,2151,3843,1,44,43,50,1,
1564448911	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [88,1,]
	dtype: l
	LoD: [[ 0,5,10,15,20,25,29,34,39,44,50,54,65,72,79,84,88, ]]
	data: 260,2275,3212,3283,1,623,2539,2328,1897,1,
1564448911	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [84,1,]
	dtype: l
	LoD: [[ 0,3,6,9,15,25,30,34,38,42,47,52,59,62,74,81,84, ]]
	data: 218,1794,1,2454,604,1,1054,2126,1,20,
1564448911	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [67,1,]
	dtype: l
	LoD: [[ 0,4,10,15,21,24,27,31,36,41,45,49,52,55,60,64,67, ]]
	data: 171,0,1479,1,977,3154,3484,3726,1644,1,
1564448911	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [117,1,]
	dtype: l
	LoD: [[ 0,5,8,11,15,18,29,40,49,55,62,69,82,88,99,111,117, ]]
	data: 304,2846,1617,857,1,3484,1148,1,485,3722,
1564448912	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [104,1,]
	dtype: l
	LoD: [[ 0,5,14,23,32,39,43,46,51,58,61,76,81,84,88,101,104, ]]
	data: 3806,2330,3726,1180,1,1763,784,223,3520,1881,
1564448912	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [129,1,]
	dtype: l
	LoD: [[ 0,5,9,14,18,23,33,38,43,51,59,72,77,80,86,93,129, ]]
	data: 1743,1988,3342,1188,1,1358,1660,2328,1,882,
1564448912	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [104,1,]
	dtype: l
	LoD: [[ 0,5,16,44,54,66,69,72,75,83,88,91,94,97,99,102,104, ]]
	data: 1831,3397,386,180,1,16,18,22,16,19,
1564448912	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [53,1,]
	dtype: l
	LoD: [[ 0,5,8,11,14,17,21,26,29,32,35,37,40,45,47,51,53, ]]
	data: 399,1132,1409,3722,1,2328,1555,1,3329,1992,
1564448912	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [80,1,]
	dtype: l
	LoD: [[ 0,3,8,13,16,19,24,29,33,43,52,57,62,65,71,76,80, ]]
	data: 167,3766,1,1418,2813,1644,503,1,2932,3059,
1564448912	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [69,1,]
	dtype: l
	LoD: [[ 0,4,12,17,22,27,30,34,37,40,43,46,51,54,62,66,69, ]]
	data: 3187,3619,977,1,2328,3777,2180,0,3265,1974,
1564448912	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,3,6,9,13,16,23,29,44,54,59,70,75,82,86,95,99, ]]
	data: 346,2275,1,282,293,1,990,1250,1,7,
1564448912	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [167,1,]
	dtype: l
	LoD: [[ 0,7,13,19,26,31,47,54,65,73,86,96,105,113,127,156,167, ]]
	data: 1024,1957,3170,3780,563,1992,1,2211,2820,3843,
1564448912	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [140,1,]
	dtype: l
	LoD: [[ 0,8,24,38,49,58,64,79,86,94,103,108,119,124,130,135,140, ]]
	data: 46,52,33,3403,603,1927,1049,1,502,2417,
1564448912	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,9,14,43,56,61,64,67,70,73,76,81,84,87,90,96,99, ]]
	data: 1301,1143,3403,393,2410,1475,538,836,1,2943,
1564448912	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [144,1,]
	dtype: l
	LoD: [[ 0,3,6,9,12,16,22,39,62,69,81,93,106,117,124,136,144, ]]
	data: 3618,1048,1,3329,1992,1,2909,3352,1,500,
1564448913	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [134,1,]
	dtype: l
	LoD: [[ 0,14,32,41,56,63,70,74,79,89,104,110,115,120,124,127,134, ]]
	data: 7,1742,2942,1095,132,1742,2942,2950,2140,8,
1564448913	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [86,1,]
	dtype: l
	LoD: [[ 0,4,16,20,24,30,36,40,43,48,52,60,69,75,78,82,86, ]]
	data: 1398,3170,2140,1,16,21,23,54,46,49,
1564448913	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [82,1,]
	dtype: l
	LoD: [[ 0,12,22,26,31,37,40,43,46,50,57,61,66,70,73,79,82, ]]
	data: 16,20,15,19,19,21,21,15,20,15,
1564448913	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [107,1,]
	dtype: l
	LoD: [[ 0,3,6,12,16,21,37,44,50,56,61,72,80,85,97,102,107, ]]
	data: 3397,1301,1,1082,1704,1,875,1835,1644,3780,
1564448913	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [91,1,]
	dtype: l
	LoD: [[ 0,7,12,16,21,42,46,58,62,64,69,72,75,78,81,88,91, ]]
	data: 154,2046,1881,1626,1148,796,1,366,1198,283,
1564448913	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [75,1,]
	dtype: l
	LoD: [[ 0,3,8,12,15,18,23,28,33,37,43,47,51,56,65,71,75, ]]
	data: 2684,2495,1,1024,495,3771,1188,1,1054,2606,
1564448913	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [249,1,]
	dtype: l
	LoD: [[ 0,11,16,22,27,32,50,62,80,116,147,158,175,185,195,212,249, ]]
	data: 45,38,0,56,46,52,0,56,46,52,
1564448913	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [253,1,]
	dtype: l
	LoD: [[ 0,16,28,39,48,76,87,111,130,140,156,173,183,203,213,228,253, ]]
	data: 3868,2858,0,0,0,0,0,0,0,0,
1564448913	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [161,1,]
	dtype: l
	LoD: [[ 0,9,17,30,42,64,73,89,102,107,117,122,129,137,143,154,161, ]]
	data: 1831,3397,386,180,1831,3397,386,180,1,1637,
1564448913	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [116,1,]
	dtype: l
	LoD: [[ 0,7,19,32,41,53,59,77,83,88,91,95,99,104,107,111,116, ]]
	data: 1024,2765,2577,1156,1149,2924,1,16,20,23,
1564448914	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,6,10,15,19,23,26,32,36,39,50,58,68,71,76,79,83, ]]
	data: 44,68,67,72,64,1,390,1231,2210,1,
1564448914	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [76,1,]
	dtype: l
	LoD: [[ 0,6,10,28,31,36,40,42,45,48,53,59,62,67,71,74,76, ]]
	data: 12,19,19,18,24,1,3893,913,197,1,
1564448914	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,3,5,8,10,13,17,21,27,32,37,44,54,69,73,78,83, ]]
	data: 3297,1234,1,2114,1,149,152,1,2640,1,
1564448914	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [91,1,]
	dtype: l
	LoD: [[ 0,6,22,27,32,37,42,46,51,56,61,67,72,77,83,88,91, ]]
	data: 1044,3342,1359,1044,664,1,2328,3231,25,15,
1564448914	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [168,1,]
	dtype: l
	LoD: [[ 0,5,11,17,21,27,47,57,69,77,85,92,99,106,110,129,168, ]]
	data: 882,2416,791,2695,1,7,2517,840,413,8,
1564448914	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [144,1,]
	dtype: l
	LoD: [[ 0,17,26,32,42,55,60,64,71,76,83,100,108,119,134,139,144, ]]
	data: 1615,2696,1580,3627,155,544,25,22,25,15,
1564448914	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [84,1,]
	dtype: l
	LoD: [[ 0,3,9,14,21,27,32,40,44,49,54,58,61,66,72,79,84, ]]
	data: 1831,3397,1,37,16,882,904,3312,1,451,
1564448914	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [101,1,]
	dtype: l
	LoD: [[ 0,19,23,28,33,38,42,47,52,57,63,75,80,85,91,96,101, ]]
	data: 2218,2922,788,3023,0,560,3023,0,1358,1509,
1564448915	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [102,1,]
	dtype: l
	LoD: [[ 0,4,9,14,18,24,32,35,39,44,55,62,68,80,85,97,102, ]]
	data: 3893,1228,510,1,33,32,45,42,1,1989,
1564448915	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [103,1,]
	dtype: l
	LoD: [[ 0,5,9,13,17,22,29,40,47,57,62,70,75,83,89,98,103, ]]
	data: 1988,1896,1621,3264,1,3520,193,2542,1,1580,
1564448915	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [74,1,]
	dtype: l
	LoD: [[ 0,6,16,27,37,47,49,51,53,55,57,60,64,66,68,71,74, ]]
	data: 50,39,34,36,49,1,1120,1955,882,3445,
1564448915	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [52,1,]
	dtype: l
	LoD: [[ 0,3,6,8,10,12,26,29,33,36,40,42,44,46,48,50,52, ]]
	data: 500,3220,1,17,19,1,1409,1,3205,1,
1564448915	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [67,1,]
	dtype: l
	LoD: [[ 0,2,4,6,9,24,29,32,37,42,45,48,51,56,62,65,67, ]]
	data: 20,1,394,1,458,1,645,2920,1,2328,
1564448915	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [133,1,]
	dtype: l
	LoD: [[ 0,5,8,11,17,20,42,53,69,77,86,97,105,113,120,127,133, ]]
	data: 16,17,18,617,1,1665,1660,1,781,1548,
1564448915	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [82,1,]
	dtype: l
	LoD: [[ 0,9,15,30,37,45,50,52,55,58,62,67,70,73,76,78,82, ]]
	data: 2045,531,2425,1198,874,539,990,283,1,1561,
1564448915	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [96,1,]
	dtype: l
	LoD: [[ 0,4,11,14,16,22,39,46,51,62,67,70,75,81,86,91,96, ]]
	data: 3578,770,1525,1,36,43,36,53,36,45,
1564448915	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [85,1,]
	dtype: l
	LoD: [[ 0,5,10,23,29,34,38,41,45,48,61,64,68,74,77,82,85, ]]
	data: 3647,1397,2754,1555,1,2319,1319,402,3676,1,
1564448915	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [245,1,]
	dtype: l
	LoD: [[ 0,3,5,12,15,18,32,62,76,129,139,151,171,196,215,232,245, ]]
	data: 872,132,1,3492,1,3187,2583,223,3520,2328,
1564448916	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [132,1,]
	dtype: l
	LoD: [[ 0,23,45,63,79,100,103,105,108,111,113,116,118,123,125,127,132, ]]
	data: 54,54,54,13,52,34,34,13,34,45,
1564448916	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [90,1,]
	dtype: l
	LoD: [[ 0,4,8,11,14,17,22,27,36,46,58,64,69,74,82,86,90, ]]
	data: 486,154,541,1,3220,268,2177,1,2620,1024,
1564448916	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [103,1,]
	dtype: l
	LoD: [[ 0,5,12,16,21,33,36,41,46,50,63,72,77,82,93,98,103, ]]
	data: 167,531,211,2129,1,64,83,83,72,547,
1564448916	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [86,1,]
	dtype: l
	LoD: [[ 0,6,10,19,23,26,30,34,41,49,57,63,68,73,78,82,86, ]]
	data: 2571,978,596,386,981,1,833,554,3035,1,
1564448916	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [60,1,]
	dtype: l
	LoD: [[ 0,5,14,19,23,27,31,33,35,37,42,44,50,52,55,58,60, ]]
	data: 167,1562,2909,3736,1,625,587,2218,231,623,
1564448916	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [34,1,]
	dtype: l
	LoD: [[ 0,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,34, ]]
	data: 3108,1180,1,1704,1,2526,1,71,1,237,
1564448916	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [41,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,11,14,17,19,21,23,26,29,32,35,38,41, ]]
	data: 2526,1,2390,1,10,1,2526,1,1960,3722,
1564448916	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [42,1,]
	dtype: l
	LoD: [[ 0,3,7,10,14,16,19,21,23,25,28,30,32,34,37,39,42, ]]
	data: 152,3229,1,1392,2356,510,1,437,2401,1,
1564448916	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [131,1,]
	dtype: l
	LoD: [[ 0,2,6,8,10,12,18,25,52,64,71,83,89,99,107,120,131, ]]
	data: 49,1,1198,2319,1968,1,19,1,1010,1,
1564448916	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [177,1,]
	dtype: l
	LoD: [[ 0,18,23,28,36,42,52,63,68,75,84,89,98,126,133,170,177, ]]
	data: 17,15,21,17,23,15,0,16,23,22,
1564448916	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [71,1,]
	dtype: l
	LoD: [[ 0,6,11,16,28,34,38,41,44,47,52,57,60,63,66,68,71, ]]
	data: 3312,2102,3428,2216,1972,1,78,79,79,78,
1564448916	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [49,1,]
	dtype: l
	LoD: [[ 0,3,7,11,16,19,21,24,26,28,31,36,38,41,44,46,49, ]]
	data: 394,1024,1,49,36,45,1,3905,913,1179,
1564448917	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [160,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,11,22,36,49,73,86,97,112,122,127,142,160, ]]
	data: 21,1,2391,1,3722,1,527,1,2413,1975,
1564448917	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [122,1,]
	dtype: l
	LoD: [[ 0,8,21,34,65,80,85,88,93,97,100,104,107,110,113,119,122, ]]
	data: 341,1291,1385,1656,2465,2568,1355,1,1843,1889,
1564448917	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [72,1,]
	dtype: l
	LoD: [[ 0,3,6,16,20,23,28,34,39,44,48,52,57,60,63,67,72, ]]
	data: 401,1944,1,3516,3833,1,2963,3392,223,3520,
1564448917	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [74,1,]
	dtype: l
	LoD: [[ 0,5,8,11,17,26,29,38,41,44,49,53,59,62,65,69,74, ]]
	data: 17,25,18,15,1,3722,1676,1,1382,596,
1564448917	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [101,1,]
	dtype: l
	LoD: [[ 0,3,9,16,19,24,37,42,49,55,66,71,80,84,90,96,101, ]]
	data: 1418,1135,1,16,20,15,16,16,1,177,
1564448917	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [255,1,]
	dtype: l
	LoD: [[ 0,5,12,24,29,37,69,86,109,117,132,160,181,202,217,226,255, ]]
	data: 50,39,36,34,1,884,582,2150,3492,3582,
1564448917	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [176,1,]
	dtype: l
	LoD: [[ 0,14,33,49,76,104,110,114,116,120,125,131,145,157,161,165,176, ]]
	data: 531,3067,323,3582,2508,0,1988,167,2150,2981,
1564448917	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [207,1,]
	dtype: l
	LoD: [[ 0,6,12,21,27,32,49,61,77,105,114,138,143,154,183,194,207, ]]
	data: 882,3324,218,1358,3358,1,19,22,21,23,
1564448917	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [135,1,]
	dtype: l
	LoD: [[ 0,16,31,55,66,93,97,99,102,105,111,116,122,125,129,132,135, ]]
	data: 2924,0,1693,0,198,0,199,0,2273,0,
1564448918	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [129,1,]
	dtype: l
	LoD: [[ 0,3,6,10,17,20,26,31,36,47,53,61,67,74,106,114,129, ]]
	data: 2256,339,1,500,3220,1,17,24,24,1,
1564448918	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [143,1,]
	dtype: l
	LoD: [[ 0,10,22,31,44,57,62,70,75,96,102,105,110,121,126,131,143, ]]
	data: 155,1993,2328,341,1385,1656,2465,2568,3668,1,
1564448918	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [155,1,]
	dtype: l
	LoD: [[ 0,11,15,19,34,46,67,74,86,96,105,111,118,123,136,149,155, ]]
	data: 155,1993,1896,883,1205,3218,1642,3664,396,618,
1564448918	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [105,1,]
	dtype: l
	LoD: [[ 0,6,11,21,30,39,51,58,64,69,74,79,82,87,92,97,105, ]]
	data: 2399,554,3673,2313,3793,1,2508,283,185,192,
1564448918	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [77,1,]
	dtype: l
	LoD: [[ 0,6,13,18,23,28,31,36,41,45,50,54,57,60,63,70,77, ]]
	data: 1260,3151,21,21,617,1,1958,1925,3061,2922,
1564448918	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [96,1,]
	dtype: l
	LoD: [[ 0,3,20,23,27,30,33,39,43,47,57,64,70,75,82,86,96, ]]
	data: 2324,3699,1,794,798,25,2270,1993,1148,3802,
1564448918	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [73,1,]
	dtype: l
	LoD: [[ 0,8,13,18,23,30,33,38,42,46,52,56,59,62,66,70,73, ]]
	data: 68,81,88,73,83,64,75,1,2416,1548,
1564448918	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [110,1,]
	dtype: l
	LoD: [[ 0,12,15,18,25,30,35,40,58,63,68,73,81,86,97,105,110, ]]
	data: 16,18,24,18,23,15,20,20,20,17,
1564448918	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [96,1,]
	dtype: l
	LoD: [[ 0,7,12,18,21,27,30,33,38,43,63,68,74,77,80,88,96, ]]
	data: 3694,481,0,596,386,981,1,1562,1681,1996,
1564448919	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [151,1,]
	dtype: l
	LoD: [[ 0,7,11,16,20,24,33,51,64,69,86,97,109,125,134,142,151, ]]
	data: 3648,386,2898,3423,3324,1148,1,51,36,43,
1564448919	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [167,1,]
	dtype: l
	LoD: [[ 0,7,14,26,41,53,58,85,92,101,106,111,119,133,138,146,167, ]]
	data: 451,2543,16,20,21,18,1,155,1993,1148,
1564448919	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,12,18,31,37,43,47,50,53,56,59,64,69,73,77,80,83, ]]
	data: 16,18,23,20,23,17,23,18,23,17,
1564448919	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [424,1,]
	dtype: l
	LoD: [[ 0,6,9,28,31,36,68,102,144,170,235,282,317,346,376,397,424, ]]
	data: 21,24,12,24,24,1,45,46,1,50,
1564448919	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [280,1,]
	dtype: l
	LoD: [[ 0,30,64,110,137,153,163,178,197,207,221,236,248,256,265,273,280, ]]
	data: 794,798,25,2984,2049,538,3914,1963,167,3342,
1564448919	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [142,1,]
	dtype: l
	LoD: [[ 0,33,42,48,58,75,80,85,90,94,102,113,118,127,132,137,142, ]]
	data: 2328,3231,25,16,18,15,19,24,21,17,
1564448920	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [100,1,]
	dtype: l
	LoD: [[ 0,4,11,16,20,24,31,36,41,46,51,56,59,63,66,96,100, ]]
	data: 2319,149,3742,1,1044,149,309,165,3372,1047,
1564448920	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [78,1,]
	dtype: l
	LoD: [[ 0,6,10,16,21,27,30,33,36,39,43,47,51,56,62,75,78, ]]
	data: 1024,671,152,217,402,1,1651,1757,3777,1,
1564448920	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [75,1,]
	dtype: l
	LoD: [[ 0,7,10,14,17,20,27,32,36,39,44,49,54,58,61,64,75, ]]
	data: 32,18,23,15,16,18,1,2649,3777,1,
1564448920	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [478,1,]
	dtype: l
	LoD: [[ 0,4,9,12,15,20,55,128,161,234,259,282,319,370,387,440,478, ]]
	data: 1258,3833,1881,1,3525,3695,717,3148,1,1382,
1564448920	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [246,1,]
	dtype: l
	LoD: [[ 0,22,58,103,147,183,190,195,201,207,213,218,223,229,237,241,246, ]]
	data: 778,25,2539,2240,3582,711,0,2319,2240,3247,
1564448920	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [86,1,]
	dtype: l
	LoD: [[ 0,5,10,15,19,33,36,41,44,50,57,62,65,72,76,82,86, ]]
	data: 3519,3356,1007,476,1,53,46,43,46,1,
1564448920	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [106,1,]
	dtype: l
	LoD: [[ 0,3,7,26,31,36,47,53,60,64,68,74,81,86,91,99,106, ]]
	data: 1418,2813,1,1988,2328,3342,1,874,565,2103,
1564448921	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [63,1,]
	dtype: l
	LoD: [[ 0,4,15,20,25,39,41,44,46,49,51,53,55,57,59,61,63, ]]
	data: 2240,2825,3868,1,48,48,25,20,21,21,
1564448921	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [200,1,]
	dtype: l
	LoD: [[ 0,2,5,7,9,12,41,55,68,84,101,122,154,169,176,189,200, ]]
	data: 1783,1,2186,1191,1,394,1,2820,1,882,
1564448921	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [132,1,]
	dtype: l
	LoD: [[ 0,12,29,41,53,64,69,74,79,85,94,102,112,117,122,127,132, ]]
	data: 155,1993,1148,1988,167,1561,538,2677,541,981,
1564448921	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [64,1,]
	dtype: l
	LoD: [[ 0,5,10,15,19,24,26,31,34,38,43,48,51,54,57,60,64, ]]
	data: 2211,2820,2112,3586,1,1524,527,527,1461,1,
1564448921	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,15,19,34,37,40,44,49,52,60,64,78,82,85,88,95,99, ]]
	data: 2328,3231,25,16,20,23,22,17,15,23,
1564448921	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [49,1,]
	dtype: l
	LoD: [[ 0,5,8,11,14,25,27,29,32,34,36,38,41,43,45,47,49, ]]
	data: 2604,223,882,3445,1,1290,3297,1,3619,3225,
1564448921	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [74,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,11,15,18,22,27,35,39,44,52,64,70,74, ]]
	data: 1993,1,2518,1,214,1,999,1,3220,478,
1564448921	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [80,1,]
	dtype: l
	LoD: [[ 0,5,9,15,20,24,28,34,37,48,59,63,67,70,73,77,80, ]]
	data: 23,23,23,381,1,1896,1054,2390,1,1561,
1564448922	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [120,1,]
	dtype: l
	LoD: [[ 0,5,10,13,16,20,28,33,40,46,65,70,78,86,99,108,120, ]]
	data: 2968,2976,2218,231,1,3653,3516,2848,2848,1,
1564448922	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [111,1,]
	dtype: l
	LoD: [[ 0,7,12,22,32,39,47,53,58,71,77,82,88,93,98,105,111, ]]
	data: 41,52,36,0,50,39,1,3503,911,1642,
1564448922	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [145,1,]
	dtype: l
	LoD: [[ 0,8,19,25,33,48,66,75,83,92,99,107,114,123,128,135,145, ]]
	data: 49,46,32,50,51,36,49,1,45,78,
1564448922	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [130,1,]
	dtype: l
	LoD: [[ 0,8,22,29,65,71,75,80,84,89,93,98,113,118,123,126,130, ]]
	data: 2949,2942,775,624,309,3035,165,1,1983,34,
1564448922	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,7,12,15,20,25,31,37,39,44,51,60,68,73,82,87,99, ]]
	data: 909,958,3647,1881,1669,1555,1,1258,3804,1014,
1564448922	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [73,1,]
	dtype: l
	LoD: [[ 0,5,10,34,38,44,47,49,51,54,56,60,64,66,68,71,73, ]]
	data: 160,165,373,212,1,2765,1026,2765,596,1,
1564448922	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [82,1,]
	dtype: l
	LoD: [[ 0,3,7,11,14,16,23,28,40,44,49,54,61,65,70,76,82, ]]
	data: 1660,2726,1,150,385,1780,1,547,1537,2836,
1564448922	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [59,1,]
	dtype: l
	LoD: [[ 0,11,16,21,26,30,32,34,37,40,42,46,50,53,55,57,59, ]]
	data: 1899,1973,3058,2328,1897,0,1903,3358,2328,762,
1564448922	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [68,1,]
	dtype: l
	LoD: [[ 0,4,6,10,12,14,17,26,29,33,38,41,44,47,58,63,68, ]]
	data: 0,1418,1135,1,2813,1,35,40,56,1,
1564448922	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [85,1,]
	dtype: l
	LoD: [[ 0,4,7,14,17,21,48,51,54,58,62,69,72,75,79,82,85, ]]
	data: 16,24,23,1,2787,1561,1,39,32,49,
1564448922	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [98,1,]
	dtype: l
	LoD: [[ 0,4,8,11,15,19,33,39,44,52,57,64,70,76,85,91,98, ]]
	data: 18,18,21,1,2328,3231,25,1,160,165,
1564448923	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [132,1,]
	dtype: l
	LoD: [[ 0,14,19,29,40,47,55,60,74,79,84,100,105,112,118,123,132, ]]
	data: 1922,628,7,17,15,15,18,8,2604,17,
1564448923	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [113,1,]
	dtype: l
	LoD: [[ 0,20,27,32,44,66,74,77,81,84,87,94,97,100,103,108,113, ]]
	data: 582,811,833,177,3342,2328,3231,25,16,18,
1564448923	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [128,1,]
	dtype: l
	LoD: [[ 0,3,6,9,13,16,30,35,40,46,56,61,70,82,89,105,128, ]]
	data: 3205,1195,1,18,300,1,32,49,1,1763,
1564448923	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [78,1,]
	dtype: l
	LoD: [[ 0,7,22,34,41,47,49,51,54,56,62,64,66,70,72,75,78, ]]
	data: 177,780,541,882,686,2209,1,154,1588,1928,
1564448923	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [117,1,]
	dtype: l
	LoD: [[ 0,5,7,9,12,14,28,40,51,56,58,70,85,95,99,104,117, ]]
	data: 35,40,56,32,1,3170,1,1087,1,17,
1564448923	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [121,1,]
	dtype: l
	LoD: [[ 0,6,13,25,31,44,47,52,55,59,68,74,77,84,90,115,121, ]]
	data: 3914,1111,339,3670,2628,1,223,3806,3342,20,
1564448923	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [72,1,]
	dtype: l
	LoD: [[ 0,6,11,15,19,24,27,30,35,40,45,49,53,55,58,66,72, ]]
	data: 751,1173,547,1354,231,1,2177,3833,1593,625,
1564448923	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,2,6,9,11,14,21,28,39,45,52,58,66,73,89,95,99, ]]
	data: 2976,1,16,23,20,1,16,22,1,155,
1564448924	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [120,1,]
	dtype: l
	LoD: [[ 0,9,16,23,35,40,47,51,61,64,70,76,81,94,100,115,120, ]]
	data: 155,1993,1148,3628,3148,538,151,1010,1,177,
1564448924	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [86,1,]
	dtype: l
	LoD: [[ 0,5,9,16,23,27,31,38,42,47,51,60,64,68,73,81,86, ]]
	data: 2107,178,1694,686,1,2313,0,2466,1,32,
1564448924	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [118,1,]
	dtype: l
	LoD: [[ 0,4,8,13,17,22,27,40,51,59,67,79,87,93,98,109,118, ]]
	data: 2597,1207,3762,1,1009,2538,3342,1,740,2709,
1564448924	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [118,1,]
	dtype: l
	LoD: [[ 0,18,24,36,40,45,53,58,66,73,78,90,96,104,109,113,118, ]]
	data: 1385,1656,913,1525,3548,1055,16,18,16,21,
1564448924	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [260,1,]
	dtype: l
	LoD: [[ 0,6,13,18,37,44,63,90,103,121,137,164,180,193,220,249,260, ]]
	data: 1358,1660,160,553,1188,1,1576,2976,99,156,
1564448924	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [182,1,]
	dtype: l
	LoD: [[ 0,42,61,75,104,115,120,125,133,140,144,151,157,163,169,177,182, ]]
	data: 794,798,25,2790,531,2781,3342,19,23,20,
1564448924	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [120,1,]
	dtype: l
	LoD: [[ 0,10,17,21,26,31,38,54,61,69,82,87,93,101,107,115,120, ]]
	data: 54,52,0,39,36,32,43,51,39,1,
1564448924	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [109,1,]
	dtype: l
	LoD: [[ 0,5,10,17,22,27,33,41,47,54,60,65,68,95,100,105,109, ]]
	data: 1179,1903,1654,2324,1,3548,3431,333,472,1,
1564448924	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [184,1,]
	dtype: l
	LoD: [[ 0,4,9,14,24,35,47,63,72,79,86,102,122,137,152,162,184, ]]
	data: 159,149,2319,1,612,603,612,197,1,18,
1564448925	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [157,1,]
	dtype: l
	LoD: [[ 0,13,29,52,67,76,82,93,98,103,107,115,130,135,143,148,157, ]]
	data: 3777,613,1212,2211,2820,1054,2126,0,1024,1163,
1564448925	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [53,1,]
	dtype: l
	LoD: [[ 0,3,8,13,16,21,23,25,28,30,32,34,36,38,41,44,53, ]]
	data: 3023,3793,1,2265,2282,2507,1644,1,3289,2216,
1564448925	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [116,1,]
	dtype: l
	LoD: [[ 0,2,4,7,9,11,26,30,37,48,70,76,85,93,100,108,116, ]]
	data: 712,1,2526,1,3735,197,1,1024,1,20,
1564448925	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [130,1,]
	dtype: l
	LoD: [[ 0,9,45,62,69,82,87,91,94,100,105,109,112,116,121,126,130, ]]
	data: 21,17,22,20,21,22,20,15,1,3229,
1564448925	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [44,1,]
	dtype: l
	LoD: [[ 0,3,7,11,16,20,23,25,28,30,32,34,36,38,40,42,44, ]]
	data: 883,2941,1,1001,3392,1087,1,38,64,77,
1564448925	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [59,1,]
	dtype: l
	LoD: [[ 0,9,11,13,15,17,19,24,26,28,30,32,34,36,38,40,59, ]]
	data: 3483,833,2218,231,3319,631,162,2335,1,2677,
1564448925	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [75,1,]
	dtype: l
	LoD: [[ 0,2,8,10,12,17,22,27,34,37,40,44,56,64,68,72,75, ]]
	data: 47,1,2218,2922,1874,2346,3793,1,23,1,
1564448925	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [71,1,]
	dtype: l
	LoD: [[ 0,4,7,10,13,16,23,31,34,37,45,51,54,60,64,68,71, ]]
	data: 664,0,1075,1,2942,2319,1,44,68,1,
1564448925	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [85,1,]
	dtype: l
	LoD: [[ 0,14,17,20,25,28,31,35,40,45,50,59,64,75,78,82,85, ]]
	data: 1678,25,16,20,15,16,16,17,19,19,
1564448925	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [146,1,]
	dtype: l
	LoD: [[ 0,3,9,13,18,21,32,47,52,62,72,85,93,116,126,139,146, ]]
	data: 34,44,1,1188,1181,395,662,1173,1,1882,
1564448926	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [56,1,]
	dtype: l
	LoD: [[ 0,5,10,16,21,33,35,37,40,42,44,46,48,50,52,54,56, ]]
	data: 3735,376,476,686,1,3679,3403,3679,451,1,
1564448926	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [265,1,]
	dtype: l
	LoD: [[ 0,2,5,7,9,12,37,64,85,111,133,148,173,197,233,251,265, ]]
	data: 2533,1,1358,905,1,15,1,1188,1,1738,
1564448926	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [219,1,]
	dtype: l
	LoD: [[ 0,18,37,68,117,132,138,143,149,154,163,176,183,198,206,212,219, ]]
	data: 2328,3231,14,1256,341,25,16,18,24,16,
1564448926	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [286,1,]
	dtype: l
	LoD: [[ 0,10,21,29,42,49,60,91,105,124,144,182,208,229,241,264,286, ]]
	data: 25,15,22,19,21,12,21,18,16,1,
1564448926	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [205,1,]
	dtype: l
	LoD: [[ 0,22,50,64,91,117,122,131,144,150,155,164,170,179,185,200,205, ]]
	data: 185,3035,25,413,982,558,0,281,2415,0,
1564448926	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [229,1,]
	dtype: l
	LoD: [[ 0,8,13,18,29,34,82,92,105,121,145,157,169,182,202,216,229, ]]
	data: 3823,1035,780,3657,467,1319,775,1,2081,2057,
1564448926	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [185,1,]
	dtype: l
	LoD: [[ 0,13,28,66,103,120,125,131,136,146,152,160,165,171,175,180,185, ]]
	data: 49,46,56,32,43,34,39,40,34,42,
1564448927	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [163,1,]
	dtype: l
	LoD: [[ 0,9,18,29,34,39,81,87,92,99,107,113,120,136,144,151,163, ]]
	data: 1179,654,419,2429,740,2709,565,477,1,1765,
1564448927	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [213,1,]
	dtype: l
	LoD: [[ 0,7,24,30,40,46,56,72,94,109,127,146,167,172,191,202,213, ]]
	data: 1546,304,451,2543,451,711,1,51,36,43,
1564448927	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [175,1,]
	dtype: l
	LoD: [[ 0,13,23,48,60,75,84,88,95,103,117,132,141,147,158,168,175, ]]
	data: 15,17,15,12,23,18,22,17,19,21,
1564448927	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [104,1,]
	dtype: l
	LoD: [[ 0,6,13,27,37,44,49,54,59,63,68,83,87,92,96,99,104, ]]
	data: 882,3445,408,2319,3793,1,155,1993,3218,3204,
1564448927	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [136,1,]
	dtype: l
	LoD: [[ 0,4,10,25,30,38,51,57,61,69,76,83,91,99,117,124,136, ]]
	data: 875,1565,1188,1,1561,162,2681,1054,538,1,
1564448927	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [107,1,]
	dtype: l
	LoD: [[ 0,8,13,21,37,46,62,66,72,77,80,86,91,96,99,103,107, ]]
	data: 1881,1943,132,1915,132,2466,132,1,1840,1004,
1564448927	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [68,1,]
	dtype: l
	LoD: [[ 0,3,9,12,15,19,22,29,32,36,40,43,46,52,57,64,68, ]]
	data: 475,1024,1,1024,1024,197,3492,1180,1,596,
1564448927	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [104,1,]
	dtype: l
	LoD: [[ 0,6,15,18,22,26,31,37,44,57,62,72,80,84,91,95,104, ]]
	data: 3876,3588,1644,3780,1188,1,21,23,18,20,
1564448927	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [211,1,]
	dtype: l
	LoD: [[ 0,3,8,13,20,25,42,57,84,93,110,124,139,156,174,196,211, ]]
	data: 2496,2151,1,1711,671,594,1917,1,2583,486,
1564448928	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [114,1,]
	dtype: l
	LoD: [[ 0,7,23,39,54,71,73,76,79,83,89,93,97,102,106,109,114, ]]
	data: 582,3170,3491,268,882,394,1,22,0,0,
1564448928	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [123,1,]
	dtype: l
	LoD: [[ 0,2,7,10,15,23,34,44,57,64,70,78,85,90,99,108,123, ]]
	data: 548,1,2765,2831,603,2878,1,259,315,1,
1564448928	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [121,1,]
	dtype: l
	LoD: [[ 0,3,8,22,29,37,42,47,54,57,60,94,99,104,112,118,121, ]]
	data: 274,165,1,2540,3028,794,1685,1,204,1896,
1564448928	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [60,1,]
	dtype: l
	LoD: [[ 0,3,7,12,15,19,23,27,30,33,36,42,45,50,53,57,60, ]]
	data: 3736,3392,1,565,477,1660,1,662,397,662,
1564448928	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [90,1,]
	dtype: l
	LoD: [[ 0,3,8,11,14,18,23,29,34,41,46,51,57,61,76,85,90, ]]
	data: 2328,504,1,3525,3525,2693,2700,1,82,82,
1564448928	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [142,1,]
	dtype: l
	LoD: [[ 0,5,10,22,30,35,50,58,67,72,84,92,104,111,120,129,142, ]]
	data: 789,275,603,2878,1,2754,2711,283,1355,1,
1564448928	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [89,1,]
	dtype: l
	LoD: [[ 0,9,14,24,35,47,50,56,59,61,63,66,70,79,81,84,89, ]]
	data: 155,1993,1148,1537,2836,935,658,283,1,1418,
1564448928	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [259,1,]
	dtype: l
	LoD: [[ 0,2,5,9,13,16,28,35,50,97,114,145,194,209,235,245,259, ]]
	data: 49,1,1418,2813,1,2150,3492,1188,1,1237,
1564448929	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [114,1,]
	dtype: l
	LoD: [[ 0,11,26,38,43,53,58,63,68,74,79,83,90,95,99,108,114, ]]
	data: 1843,1889,2275,1135,882,990,1537,2836,3324,1148,
1564448929	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [148,1,]
	dtype: l
	LoD: [[ 0,7,12,18,29,39,52,63,70,75,83,95,104,122,134,142,148, ]]
	data: 86,86,86,13,89,74,1,1889,664,1576,
1564448929	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [137,1,]
	dtype: l
	LoD: [[ 0,6,30,37,44,51,59,69,82,88,93,104,108,120,125,130,137, ]]
	data: 3711,3770,565,477,573,1,185,3035,25,500,
1564448929	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [76,1,]
	dtype: l
	LoD: [[ 0,8,15,24,29,34,39,43,46,49,54,57,62,67,70,73,76, ]]
	data: 2812,2667,240,25,2853,1993,1942,1,3619,3583,
1564448929	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [49,1,]
	dtype: l
	LoD: [[ 0,2,5,8,11,14,16,19,21,24,28,34,36,39,43,46,49, ]]
	data: 1669,1,3225,1355,1,41,39,1,224,2990,
1564448929	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [164,1,]
	dtype: l
	LoD: [[ 0,3,8,11,18,20,46,52,65,94,101,114,120,127,139,149,164, ]]
	data: 1576,3773,1,50,47,52,47,1,394,1160,
1564448929	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [91,1,]
	dtype: l
	LoD: [[ 0,9,19,40,46,53,55,59,61,69,72,78,80,82,84,86,91, ]]
	data: 2265,1022,0,0,1010,3914,2265,1022,1,1353,
1564448929	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [55,1,]
	dtype: l
	LoD: [[ 0,2,5,7,9,14,17,21,24,28,31,36,41,44,47,52,55, ]]
	data: 3363,1,51,48,1,1188,1,2526,1,16,
1564448929	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [119,1,]
	dtype: l
	LoD: [[ 0,4,7,9,13,29,37,52,57,62,71,83,87,94,106,114,119, ]]
	data: 3676,1354,231,1,2651,1187,1,3793,1,132,
1564448929	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,5,10,16,23,28,31,38,42,45,54,60,64,69,74,78,83, ]]
	data: 3170,346,1669,1555,1,1354,1078,451,2543,1,
1564448930	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [166,1,]
	dtype: l
	LoD: [[ 0,4,10,14,24,46,62,73,83,95,104,109,122,128,140,149,166, ]]
	data: 2678,2726,1943,1,51,40,43,32,44,1,
1564448930	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [211,1,]
	dtype: l
	LoD: [[ 0,5,12,19,27,46,78,90,97,109,114,119,136,153,159,171,211, ]]
	data: 997,3126,231,686,1,2434,2836,3187,3342,23,
1564448930	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [115,1,]
	dtype: l
	LoD: [[ 0,5,12,17,29,35,40,57,63,68,72,77,84,93,97,112,115, ]]
	data: 157,612,1860,741,1,2393,234,599,240,2319,
1564448930	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [137,1,]
	dtype: l
	LoD: [[ 0,8,13,25,31,34,39,46,51,78,84,96,101,107,126,132,137, ]]
	data: 36,13,51,0,76,68,77,1,155,423,
1564448930	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [131,1,]
	dtype: l
	LoD: [[ 0,11,17,22,28,33,48,52,55,58,64,71,109,122,125,128,131, ]]
	data: 57,39,32,45,38,43,40,32,45,38,
1564448930	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [62,1,]
	dtype: l
	LoD: [[ 0,4,8,13,17,22,27,31,34,37,41,45,49,52,55,58,62, ]]
	data: 631,167,1565,1,3833,1773,2924,1,2329,1054,
1564448930	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [88,1,]
	dtype: l
	LoD: [[ 0,3,9,14,19,23,33,37,42,47,51,56,60,64,71,83,88, ]]
	data: 1635,1461,1,52,43,43,396,2211,1,1382,
1564448930	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [242,1,]
	dtype: l
	LoD: [[ 0,14,19,25,32,38,55,72,94,111,130,147,165,182,204,219,242, ]]
	data: 1358,1660,16,20,23,24,21,24,15,21,
1564448930	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [204,1,]
	dtype: l
	LoD: [[ 0,15,29,43,61,74,85,95,101,110,115,122,134,147,178,189,204, ]]
	data: 160,165,3218,3204,0,1179,654,565,477,0,
1564448931	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [121,1,]
	dtype: l
	LoD: [[ 0,12,22,38,43,51,65,75,80,86,91,96,100,104,109,114,121, ]]
	data: 39,64,64,70,68,77,12,35,64,89,
1564448931	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [119,1,]
	dtype: l
	LoD: [[ 0,5,13,17,20,25,32,42,49,56,68,74,82,90,96,109,119, ]]
	data: 1654,587,260,1835,1,913,3470,1075,1570,1744,
1564448931	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [88,1,]
	dtype: l
	LoD: [[ 0,7,18,30,36,48,51,55,58,61,66,70,73,77,82,85,88, ]]
	data: 177,780,304,2836,1234,2519,1,50,40,45,
1564448931	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [147,1,]
	dtype: l
	LoD: [[ 0,4,7,19,41,46,53,59,67,76,93,101,111,126,133,140,147, ]]
	data: 1198,1152,370,1,2726,346,1,2053,219,16,
1564448931	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [215,1,]
	dtype: l
	LoD: [[ 0,12,19,29,44,68,87,102,118,129,139,150,163,182,195,202,215, ]]
	data: 54,54,54,13,75,88,69,11,66,78,
1564448931	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [173,1,]
	dtype: l
	LoD: [[ 0,17,42,62,84,100,115,118,122,126,132,136,141,146,151,157,173, ]]
	data: 1179,882,2201,2765,240,865,586,3669,3901,2367,
1564448931	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [115,1,]
	dtype: l
	LoD: [[ 0,6,29,33,38,47,58,63,70,75,81,88,94,99,103,108,115, ]]
	data: 1198,1198,3848,1694,1188,1,2328,3231,25,18,
1564448931	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [69,1,]
	dtype: l
	LoD: [[ 0,8,13,19,24,29,32,35,37,42,47,50,53,56,59,62,69, ]]
	data: 218,15,15,395,1173,541,1641,1,152,1010,
1564448932	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [35,1,]
	dtype: l
	LoD: [[ 0,3,6,8,11,13,15,17,19,21,23,25,27,29,31,33,35, ]]
	data: 3156,773,1,664,3445,1,38,1,149,686,
1564448932	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [137,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,10,16,27,33,42,54,61,66,88,97,121,137, ]]
	data: 50,1,3777,1,2027,1,49,1,573,1,
1564448932	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [117,1,]
	dtype: l
	LoD: [[ 0,8,20,34,47,57,63,67,71,74,77,80,86,89,109,113,117, ]]
	data: 3431,1242,547,2812,794,3554,603,1,2328,3231,
1564448932	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [141,1,]
	dtype: l
	LoD: [[ 0,20,22,25,29,33,46,65,72,87,99,104,109,116,124,129,141, ]]
	data: 2751,2413,1172,3722,132,3613,363,1260,3366,2310,
1564448932	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [100,1,]
	dtype: l
	LoD: [[ 0,7,18,26,41,53,58,64,68,72,77,81,85,88,92,97,100, ]]
	data: 39,32,40,56,32,45,1,2328,3231,25,
1564448932	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [135,1,]
	dtype: l
	LoD: [[ 0,3,8,11,16,19,24,34,43,60,74,87,94,101,110,123,135, ]]
	data: 596,1200,1,38,49,36,34,1,46,46,
1564448932	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [90,1,]
	dtype: l
	LoD: [[ 0,8,18,24,31,40,43,47,52,55,58,62,69,79,84,87,90, ]]
	data: 160,165,2765,596,0,2156,1710,1,567,1052,
1564448932	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [130,1,]
	dtype: l
	LoD: [[ 0,10,16,19,22,25,38,45,53,63,71,89,96,105,116,125,130, ]]
	data: 1207,401,2177,1588,0,1010,1087,1205,1669,1,
1564448932	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [110,1,]
	dtype: l
	LoD: [[ 0,3,15,20,28,34,39,45,55,60,65,76,80,87,90,95,110, ]]
	data: 2275,596,1,2328,3231,25,18,19,15,18,
1564448933	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [94,1,]
	dtype: l
	LoD: [[ 0,6,9,14,24,32,39,46,55,60,65,69,73,80,85,88,94, ]]
	data: 3876,1465,2779,2216,1972,1,177,780,1,204,
1564448933	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [114,1,]
	dtype: l
	LoD: [[ 0,4,9,14,20,25,35,41,46,59,67,74,80,86,95,102,114, ]]
	data: 3143,3484,1888,1,1841,1188,3362,3208,1,17,
1564448933	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [127,1,]
	dtype: l
	LoD: [[ 0,5,10,17,25,31,37,51,56,62,74,81,86,97,104,119,127, ]]
	data: 1968,3843,2257,1662,1,1548,1111,1177,379,1,
1564448933	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [91,1,]
	dtype: l
	LoD: [[ 0,13,25,35,40,48,52,56,62,67,70,72,77,82,85,88,91, ]]
	data: 33,43,52,36,0,35,40,32,44,46,
1564448933	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [183,1,]
	dtype: l
	LoD: [[ 0,3,9,14,31,35,88,97,104,110,119,137,147,155,167,177,183, ]]
	data: 1268,3773,1,88,78,84,13,73,1,17,
1564448933	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [95,1,]
	dtype: l
	LoD: [[ 0,9,12,20,29,36,43,46,51,55,61,65,74,79,86,91,95, ]]
	data: 1358,3329,1397,2275,160,165,283,1355,1,2653,
1564448933	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,6,11,22,26,31,46,52,56,62,67,71,81,86,90,95,99, ]]
	data: 1258,3742,1549,527,977,1,3653,941,149,628,
1564448933	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [87,1,]
	dtype: l
	LoD: [[ 0,4,14,35,39,43,47,51,54,58,64,70,73,76,79,82,87, ]]
	data: 2454,2960,2454,1,36,35,52,34,32,51,
1564448933	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [103,1,]
	dtype: l
	LoD: [[ 0,4,9,12,14,17,24,29,35,40,51,60,66,71,83,94,103, ]]
	data: 15,15,15,1,43,46,34,42,1,3914,
1564448933	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [128,1,]
	dtype: l
	LoD: [[ 0,11,20,27,36,43,50,58,73,79,84,92,99,104,115,123,128, ]]
	data: 2692,2716,0,1256,1546,0,2704,2711,2344,3431,
1564448933	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [98,1,]
	dtype: l
	LoD: [[ 0,11,15,19,24,34,39,42,50,58,63,67,76,81,89,95,98, ]]
	data: 33,36,40,54,32,0,55,40,43,40,
1564448934	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [399,1,]
	dtype: l
	LoD: [[ 0,5,12,19,21,26,47,84,107,132,159,184,237,287,334,352,399, ]]
	data: 1014,1644,177,1260,1,50,46,44,36,49,
1564448934	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [404,1,]
	dtype: l
	LoD: [[ 0,46,63,76,93,125,143,168,214,251,301,319,335,366,374,388,404, ]]
	data: 2328,3231,25,18,17,17,18,23,24,15,
1564448934	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [178,1,]
	dtype: l
	LoD: [[ 0,28,48,57,70,90,96,106,112,118,130,137,150,156,165,171,178, ]]
	data: 2150,3492,495,3771,0,1572,2320,2391,3284,0,
1564448934	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [268,1,]
	dtype: l
	LoD: [[ 0,5,13,23,75,83,95,109,124,158,180,192,208,234,246,257,268, ]]
	data: 2765,596,3406,3583,1,3208,541,154,241,177,
1564448934	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [155,1,]
	dtype: l
	LoD: [[ 0,15,36,54,66,82,88,93,98,106,113,120,128,139,144,150,155, ]]
	data: 2328,3231,25,16,23,21,17,15,16,16,
1564448934	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [126,1,]
	dtype: l
	LoD: [[ 0,6,13,19,60,66,71,76,81,84,87,97,109,117,120,123,126, ]]
	data: 2391,316,3289,3582,3480,1,1179,167,3280,2704,
1564448935	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [43,1,]
	dtype: l
	LoD: [[ 0,3,6,9,15,19,21,23,25,29,31,33,35,37,39,41,43, ]]
	data: 1742,17,1,770,1868,1,66,79,1,34,
1564448935	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [90,1,]
	dtype: l
	LoD: [[ 0,3,5,17,19,21,26,31,36,41,45,48,66,72,75,83,90, ]]
	data: 16,17,1,2526,1,16,18,22,17,15,
1564448935	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [102,1,]
	dtype: l
	LoD: [[ 0,5,13,17,21,27,32,37,49,55,64,69,77,84,89,94,102, ]]
	data: 1219,355,209,558,1,17,23,17,23,16,
1564448935	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [84,1,]
	dtype: l
	LoD: [[ 0,6,11,22,26,31,35,39,45,50,54,59,63,68,75,80,84, ]]
	data: 20,15,381,14,458,1,1608,3914,2211,2820,
1564448935	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [67,1,]
	dtype: l
	LoD: [[ 0,7,12,17,22,30,34,36,38,45,51,54,56,58,60,65,67, ]]
	data: 500,3220,16,23,23,24,1,38,49,36,
1564448935	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [62,1,]
	dtype: l
	LoD: [[ 0,5,7,9,11,13,17,20,22,29,32,35,43,46,54,57,62, ]]
	data: 339,1397,868,905,1,2693,1,3773,1,654,
1564448935	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [86,1,]
	dtype: l
	LoD: [[ 0,3,9,15,18,21,30,36,41,46,49,58,63,68,73,80,86, ]]
	data: 1561,858,1,3196,3509,33,64,88,1,44,
1564448935	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [145,1,]
	dtype: l
	LoD: [[ 0,4,9,27,35,44,52,84,91,100,105,111,120,127,136,140,145, ]]
	data: 3785,2147,3722,1,2811,1135,3771,840,1,55,
1564448935	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [159,1,]
	dtype: l
	LoD: [[ 0,7,13,22,32,37,47,58,75,84,97,107,122,129,140,150,159, ]]
	data: 47,49,36,44,40,36,1,51,46,56,
1564448935	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [102,1,]
	dtype: l
	LoD: [[ 0,9,24,28,37,55,59,62,68,78,81,84,87,91,95,98,102, ]]
	data: 1831,3397,386,180,1561,2790,3745,1014,1,1903,
1564448935	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [112,1,]
	dtype: l
	LoD: [[ 0,4,7,10,13,18,23,29,44,59,67,72,78,84,88,100,112, ]]
	data: 22,15,22,1,402,234,1,1360,720,1,
1564448936	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [58,1,]
	dtype: l
	LoD: [[ 0,7,13,19,26,31,33,35,37,39,42,45,47,49,51,54,58, ]]
	data: 2898,505,3578,3148,1644,503,1,2604,154,458,
1564448936	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [97,1,]
	dtype: l
	LoD: [[ 0,3,5,8,14,16,21,27,53,58,63,68,73,78,85,90,97, ]]
	data: 1207,165,1,381,1,2150,3492,1,16,16,
1564448936	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [108,1,]
	dtype: l
	LoD: [[ 0,41,46,53,58,64,68,74,78,82,85,89,92,96,100,103,108, ]]
	data: 2328,3231,25,15,23,22,16,12,21,18,
1564448936	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [123,1,]
	dtype: l
	LoD: [[ 0,3,6,9,14,21,34,46,53,66,72,84,91,99,108,114,123, ]]
	data: 1024,2534,1,1009,282,1,3119,1899,1,223,
1564448936	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [95,1,]
	dtype: l
	LoD: [[ 0,14,21,26,38,43,48,53,58,62,67,72,75,80,84,90,95, ]]
	data: 2543,711,2157,2695,25,21,19,15,22,17,
1564448936	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [61,1,]
	dtype: l
	LoD: [[ 0,6,11,16,21,25,31,34,36,41,44,46,49,52,56,58,61, ]]
	data: 3518,1249,160,553,1188,1,2019,775,882,584,
1564448936	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [96,1,]
	dtype: l
	LoD: [[ 0,3,5,10,16,19,23,30,33,37,54,62,68,74,78,84,96, ]]
	data: 3898,624,1,2209,1,1580,1061,3434,822,1,
1564448936	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [76,1,]
	dtype: l
	LoD: [[ 0,5,13,18,24,28,32,35,38,42,46,50,53,60,65,71,76, ]]
	data: 3597,1053,3342,1188,1,1415,3714,3342,17,16,
1564448936	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [377,1,]
	dtype: l
	LoD: [[ 0,3,6,10,13,18,73,106,134,153,178,211,252,297,319,341,377, ]]
	data: 717,503,1,3689,1194,1,1418,0,2813,1,
1564448937	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [297,1,]
	dtype: l
	LoD: [[ 0,36,64,139,159,214,218,222,226,257,265,268,274,283,286,292,297, ]]
	data: 2811,165,248,2702,0,240,217,260,2275,0,
1564448937	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [101,1,]
	dtype: l
	LoD: [[ 0,5,12,16,18,21,26,35,42,50,65,70,75,84,90,96,101, ]]
	data: 41,46,41,46,1,16,16,23,16,16,
1564448937	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [145,1,]
	dtype: l
	LoD: [[ 0,5,10,16,21,40,47,52,66,71,90,95,100,128,133,140,145, ]]
	data: 599,2275,2577,603,1,229,3431,3578,3148,1,
1564448937	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [165,1,]
	dtype: l
	LoD: [[ 0,15,22,30,36,45,52,58,75,95,102,111,125,133,145,155,165, ]]
	data: 2328,3231,25,16,23,23,21,16,19,23,
1564448937	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [105,1,]
	dtype: l
	LoD: [[ 0,12,30,37,48,60,64,67,70,75,80,83,90,94,99,102,105, ]]
	data: 16,18,16,21,22,20,15,15,15,19,
1564448937	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [71,1,]
	dtype: l
	LoD: [[ 0,3,7,11,15,19,22,27,32,35,39,48,51,54,64,67,71, ]]
	data: 3284,2140,1,45,43,34,1,18,24,18,
1564448937	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [50,1,]
	dtype: l
	LoD: [[ 0,6,11,16,23,26,28,30,32,35,38,40,42,44,46,48,50, ]]
	data: 0,0,2016,1992,1354,1,51,41,40,41,
1564448937	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [41,1,]
	dtype: l
	LoD: [[ 0,2,4,7,9,11,13,16,18,20,23,26,29,32,35,39,41, ]]
	data: 999,1,1476,1,3518,1087,1,3358,1,49,
1564448937	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [170,1,]
	dtype: l
	LoD: [[ 0,3,5,8,11,13,30,42,52,63,111,125,130,141,153,163,170, ]]
	data: 2754,675,1,177,1,2454,889,1,2765,984,
1564448938	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [117,1,]
	dtype: l
	LoD: [[ 0,12,39,50,64,77,81,86,89,92,95,100,104,107,110,113,117, ]]
	data: 2553,1011,3344,1537,2836,177,1260,1205,3218,552,
1564448938	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [270,1,]
	dtype: l
	LoD: [[ 0,4,7,10,13,16,42,67,115,141,165,187,197,210,225,240,270, ]]
	data: 57,51,37,1,596,3280,1,2209,1773,1,
1564448938	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [139,1,]
	dtype: l
	LoD: [[ 0,41,55,68,95,110,113,116,118,120,122,124,128,131,133,137,139, ]]
	data: 41,72,64,78,88,84,77,0,32,84,
1564448938	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [159,1,]
	dtype: l
	LoD: [[ 0,2,5,7,9,11,22,34,46,57,87,97,110,123,138,146,159, ]]
	data: 2997,1,3324,1148,1,44,1,2429,1,2526,
1564448938	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [128,1,]
	dtype: l
	LoD: [[ 0,8,19,23,38,54,61,66,69,81,86,109,113,116,121,124,128, ]]
	data: 192,587,1179,1513,2328,3194,613,1,162,2772,
1564448938	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [90,1,]
	dtype: l
	LoD: [[ 0,7,12,16,21,26,30,33,36,39,47,60,64,67,71,76,90, ]]
	data: 883,1359,2540,1385,2925,2433,1,1651,2310,422,
1564448938	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [102,1,]
	dtype: l
	LoD: [[ 0,7,16,22,25,38,44,49,55,60,65,69,74,79,89,96,102, ]]
	data: 1179,1132,2047,945,3619,165,1,2150,3492,0,
1564448938	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [162,1,]
	dtype: l
	LoD: [[ 0,5,8,18,31,37,49,54,65,73,85,91,114,129,143,153,162, ]]
	data: 883,2169,1881,1620,1,3,3,1,2103,1304,
1564448939	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [175,1,]
	dtype: l
	LoD: [[ 0,13,26,41,54,91,97,106,110,118,124,130,137,149,155,168,175, ]]
	data: 3849,3843,132,3842,3843,262,592,623,2539,2020,
1564448939	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [79,1,]
	dtype: l
	LoD: [[ 0,4,11,17,23,28,32,35,40,45,54,58,64,69,72,76,79, ]]
	data: 2201,1621,1198,1,396,2211,999,394,1483,1195,
1564448939	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [69,1,]
	dtype: l
	LoD: [[ 0,4,8,13,17,20,24,29,34,37,42,45,51,54,58,65,69, ]]
	data: 2320,157,3664,1,400,3315,883,1,394,780,
1564448939	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [65,1,]
	dtype: l
	LoD: [[ 0,8,13,18,29,32,34,37,45,47,49,51,55,57,61,63,65, ]]
	data: 2391,2218,1560,1011,1651,3154,1715,1,2037,3804,
1564448939	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [103,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,12,19,25,31,43,52,58,65,70,76,91,103, ]]
	data: 556,1,152,1,177,1,3793,1,1841,3431,
1564448939	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [91,1,]
	dtype: l
	LoD: [[ 0,10,26,34,57,64,68,70,72,74,76,78,80,84,87,89,91, ]]
	data: 2328,3231,25,16,22,20,18,20,17,1,
1564448939	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [68,1,]
	dtype: l
	LoD: [[ 0,3,11,15,17,19,25,30,34,37,42,46,51,55,59,64,68, ]]
	data: 167,2108,1,36,44,44,36,43,43,36,
1564448939	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [140,1,]
	dtype: l
	LoD: [[ 0,6,10,19,25,32,38,53,58,64,69,74,86,91,96,108,140, ]]
	data: 35,538,17,15,617,1,218,541,381,1,
1564448939	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [114,1,]
	dtype: l
	LoD: [[ 0,13,20,33,41,46,51,56,61,66,71,76,80,85,104,109,114, ]]
	data: 622,3777,586,214,1,2607,2607,791,1677,11,
1564448939	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [162,1,]
	dtype: l
	LoD: [[ 0,6,11,17,22,27,38,50,59,76,88,107,114,125,141,153,162, ]]
	data: 2024,1911,0,1899,784,1,833,2625,1371,1938,
1564448940	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [182,1,]
	dtype: l
	LoD: [[ 0,44,59,73,83,100,104,111,120,127,142,154,158,163,168,176,182, ]]
	data: 36,77,83,68,81,79,81,72,82,68,
1564448940	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [89,1,]
	dtype: l
	LoD: [[ 0,5,10,15,31,35,39,46,49,63,69,72,77,80,83,86,89, ]]
	data: 3484,1148,1304,240,1,3218,3204,3170,3780,1,
1564448940	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [124,1,]
	dtype: l
	LoD: [[ 0,4,7,10,13,18,24,38,43,49,54,68,79,88,96,103,124, ]]
	data: 16,24,22,1,155,1993,1,388,3296,1,
1564448940	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,5,13,19,25,37,39,45,50,56,61,64,68,72,75,79,83, ]]
	data: 612,262,2679,283,1,3695,0,1694,0,3154,
1564448940	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [49,1,]
	dtype: l
	LoD: [[ 0,3,6,9,12,15,17,19,22,24,27,30,33,36,39,45,49, ]]
	data: 2765,773,1,2328,3231,1,339,1626,1,3324,
1564448940	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [119,1,]
	dtype: l
	LoD: [[ 0,12,16,19,22,26,33,38,51,64,69,85,92,96,105,111,119, ]]
	data: 16,18,24,20,18,15,17,16,21,18,
1564448940	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [144,1,]
	dtype: l
	LoD: [[ 0,5,20,25,32,39,42,52,62,73,90,99,108,122,131,139,144, ]]
	data: 2704,1977,1054,2126,1,155,1903,3690,773,2990,
1564448940	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [189,1,]
	dtype: l
	LoD: [[ 0,12,17,26,41,48,57,80,88,101,111,121,130,141,157,170,189, ]]
	data: 16,23,21,17,22,24,21,16,17,24,
1564448940	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [133,1,]
	dtype: l
	LoD: [[ 0,8,18,27,54,68,73,78,83,93,99,104,109,116,122,127,133, ]]
	data: 1007,364,1903,3358,3358,583,1685,1,1179,654,
1564448940	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [193,1,]
	dtype: l
	LoD: [[ 0,6,10,15,23,28,46,62,84,98,110,123,136,151,170,179,193, ]]
	data: 1543,3241,3248,3198,133,1,2966,1095,3342,1,
1564448941	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [224,1,]
	dtype: l
	LoD: [[ 0,10,27,39,56,78,87,98,118,127,139,156,180,195,210,217,224, ]]
	data: 177,400,155,1993,1148,935,1015,286,3480,1,
1564448941	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [142,1,]
	dtype: l
	LoD: [[ 0,13,48,60,70,74,80,85,90,95,107,113,119,124,130,134,142, ]]
	data: 18,458,3537,1544,2460,1268,2177,0,0,0,
1564448941	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [103,1,]
	dtype: l
	LoD: [[ 0,11,16,21,33,45,48,53,62,72,75,78,81,84,92,100,103, ]]
	data: 808,1435,394,231,165,3581,12,913,686,3285,
1564448941	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [101,1,]
	dtype: l
	LoD: [[ 0,3,9,13,17,20,25,30,39,45,51,57,62,84,89,94,101, ]]
	data: 1145,686,1,2704,3035,25,623,2539,1,1593,
1564448941	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [94,1,]
	dtype: l
	LoD: [[ 0,6,10,15,20,25,30,35,42,50,54,59,65,75,80,88,94, ]]
	data: 42,56,46,54,32,1,3520,2518,1794,1,
1564448941	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [90,1,]
	dtype: l
	LoD: [[ 0,5,10,17,23,28,32,37,48,53,59,62,68,72,81,86,90, ]]
	data: 3520,3905,1409,3722,1,149,2216,149,3780,1,
1564448941	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [59,1,]
	dtype: l
	LoD: [[ 0,3,7,10,14,17,22,24,26,29,34,37,41,46,50,55,59, ]]
	data: 3426,1588,1,882,1054,1135,1,2027,2429,1,
1564448941	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [64,1,]
	dtype: l
	LoD: [[ 0,5,9,13,16,20,23,26,29,31,34,38,51,54,57,61,64, ]]
	data: 33,32,45,42,1,19,38,10,1,24,
1564448941	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [217,1,]
	dtype: l
	LoD: [[ 0,3,7,11,17,21,35,49,57,84,96,113,162,179,185,197,217, ]]
	data: 2662,1881,1,24,24,381,1,40,45,40,
1564448942	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [167,1,]
	dtype: l
	LoD: [[ 0,15,43,52,73,82,87,93,102,110,117,121,141,146,154,162,167, ]]
	data: 2427,781,419,3231,0,1572,3212,3322,1842,0,
1564448942	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [66,1,]
	dtype: l
	LoD: [[ 0,10,16,22,27,32,36,41,43,46,48,51,54,56,62,64,66, ]]
	data: 2677,2424,1644,503,2726,1664,1135,309,2583,1,
1564448942	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [90,1,]
	dtype: l
	LoD: [[ 0,3,5,8,11,13,20,25,34,41,46,59,67,73,78,85,90, ]]
	data: 16,16,1,2526,1,16,16,1,16,24,
1564448942	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [146,1,]
	dtype: l
	LoD: [[ 0,5,10,16,23,31,40,55,60,65,78,94,103,113,117,129,146, ]]
	data: 346,2869,177,1260,1,1179,2053,3063,165,1,
1564448942	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [263,1,]
	dtype: l
	LoD: [[ 0,17,32,41,51,64,93,103,124,153,172,190,206,223,236,248,263, ]]
	data: 3208,162,2335,2201,155,177,780,3434,142,0,
1564448942	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [143,1,]
	dtype: l
	LoD: [[ 0,10,19,35,50,66,69,75,80,83,87,90,95,116,132,137,143, ]]
	data: 1561,822,3431,3766,149,304,3619,177,3619,1,
1564448942	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [89,1,]
	dtype: l
	LoD: [[ 0,4,9,14,19,25,34,39,46,51,55,60,65,70,77,84,89, ]]
	data: 18,18,1753,1,301,1354,451,2543,1,1743,
1564448942	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [105,1,]
	dtype: l
	LoD: [[ 0,12,16,21,26,31,39,47,53,59,69,74,82,88,94,101,105, ]]
	data: 16,20,22,20,20,23,23,24,15,15,
1564448942	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [78,1,]
	dtype: l
	LoD: [[ 0,4,15,28,35,39,44,47,51,55,59,62,65,68,71,73,78, ]]
	data: 2019,3106,3342,1,37,25,23,17,24,23,
1564448942	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [78,1,]
	dtype: l
	LoD: [[ 0,3,7,10,18,21,26,30,37,41,45,55,58,63,69,73,78, ]]
	data: 1398,628,1,16,15,17,1,3773,3358,1,
1564448943	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [85,1,]
	dtype: l
	LoD: [[ 0,4,9,14,19,27,32,36,40,43,47,52,57,60,64,69,85, ]]
	data: 3506,3375,2395,1,451,389,3362,3208,1,1188,
1564448943	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [63,1,]
	dtype: l
	LoD: [[ 0,5,10,15,19,23,26,29,33,38,41,44,48,51,55,58,63, ]]
	data: 152,217,914,1319,1,2523,1839,393,578,1,
1564448943	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [370,1,]
	dtype: l
	LoD: [[ 0,5,8,11,14,25,54,70,109,136,160,197,232,255,275,321,370, ]]
	data: 44,72,77,70,1,794,1865,1,877,3295,
1564448943	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [241,1,]
	dtype: l
	LoD: [[ 0,32,64,105,144,168,173,180,190,197,204,207,212,217,226,232,241, ]]
	data: 2073,2027,762,0,51,36,43,25,16,20,
1564448943	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [90,1,]
	dtype: l
	LoD: [[ 0,5,11,15,18,22,32,37,41,45,58,63,75,79,84,87,90, ]]
	data: 1009,402,882,2310,1,2112,2153,891,149,459,
1564448943	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [90,1,]
	dtype: l
	LoD: [[ 0,5,12,15,18,21,26,31,35,40,46,49,56,62,67,71,90, ]]
	data: 16,18,24,20,1,23,22,21,22,22,
1564448943	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [70,1,]
	dtype: l
	LoD: [[ 0,5,20,24,29,37,41,46,49,51,54,56,60,63,66,68,70, ]]
	data: 2920,3389,2765,1617,1,160,165,3218,3204,1152,
1564448943	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [53,1,]
	dtype: l
	LoD: [[ 0,4,7,9,11,14,19,22,26,29,33,36,39,44,47,50,53, ]]
	data: 3802,2392,2942,1,19,24,1,2526,1,2257,
1564448943	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [73,1,]
	dtype: l
	LoD: [[ 0,17,24,32,34,37,40,44,48,51,54,56,59,62,65,68,73, ]]
	data: 3398,504,762,1669,3170,872,0,3726,1085,0,
1564448943	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [96,1,]
	dtype: l
	LoD: [[ 0,3,7,10,14,17,24,30,35,47,50,58,64,86,89,92,96, ]]
	data: 994,1942,1,33,40,45,1,1382,596,1,
1564448944	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [167,1,]
	dtype: l
	LoD: [[ 0,5,8,11,14,18,25,34,57,65,70,84,102,116,129,140,167, ]]
	data: 443,3711,149,1188,1,396,2211,1,185,3761,
1564448944	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [127,1,]
	dtype: l
	LoD: [[ 0,25,41,48,54,69,73,76,79,82,85,88,91,94,96,105,127, ]]
	data: 2328,3231,25,23,19,18,16,17,18,20,
1564448944	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [236,1,]
	dtype: l
	LoD: [[ 0,5,9,13,18,21,35,49,59,87,113,139,163,182,206,223,236, ]]
	data: 177,780,2551,504,1,333,472,1188,1,41,
1564448944	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [171,1,]
	dtype: l
	LoD: [[ 0,23,42,59,97,124,132,135,138,144,147,150,156,160,163,166,171, ]]
	data: 2328,3231,25,21,15,23,23,17,23,19,
1564448944	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [76,1,]
	dtype: l
	LoD: [[ 0,5,17,20,25,28,33,36,41,45,51,56,61,66,69,72,76, ]]
	data: 381,0,1054,991,1,16,23,19,18,20,
1564448944	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [105,1,]
	dtype: l
	LoD: [[ 0,5,8,12,18,25,32,36,42,48,55,63,71,83,91,99,105, ]]
	data: 47,52,43,43,1,740,2709,1,908,387,
1564448944	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [102,1,]
	dtype: l
	LoD: [[ 0,6,11,20,29,35,42,51,56,63,68,74,82,85,90,95,102, ]]
	data: 882,773,1543,2790,3668,1,2763,1471,2763,2887,
1564448944	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [131,1,]
	dtype: l
	LoD: [[ 0,8,16,23,31,43,50,58,65,71,79,90,96,104,109,120,131, ]]
	data: 1925,1993,1188,45,46,13,21,1,16,20,
1564448944	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [112,1,]
	dtype: l
	LoD: [[ 0,6,12,19,24,39,44,49,57,61,67,72,83,90,95,108,112, ]]
	data: 3525,3525,2275,596,1188,1,394,780,3285,3519,
1564448945	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [112,1,]
	dtype: l
	LoD: [[ 0,8,14,19,25,31,39,46,64,70,75,81,86,93,102,107,112, ]]
	data: 1570,1744,3619,0,1912,1992,1354,1,3690,2765,
1564448945	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [213,1,]
	dtype: l
	LoD: [[ 0,5,10,15,21,27,90,99,113,123,132,137,155,175,186,203,213, ]]
	data: 1053,3293,686,664,1,1448,547,223,3520,1,
1564448945	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,9,16,29,38,49,53,56,59,63,67,70,73,88,91,95,99, ]]
	data: 1363,3434,3648,2096,2045,882,3630,3143,1,3295,
1564448945	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [48,1,]
	dtype: l
	LoD: [[ 0,3,8,13,17,21,24,27,30,32,34,36,38,40,42,45,48, ]]
	data: 877,553,1,177,3187,539,379,1,39,46,
1564448945	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [36,1,]
	dtype: l
	LoD: [[ 0,2,4,6,9,11,13,16,18,20,22,25,27,29,31,34,36, ]]
	data: 3712,1,1476,1,464,1,157,1252,1,20,
1564448945	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [92,1,]
	dtype: l
	LoD: [[ 0,2,4,7,12,14,23,29,36,41,46,53,58,63,74,80,92, ]]
	data: 1409,1,3714,1,1171,3586,1,334,3582,160,
1564448945	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [93,1,]
	dtype: l
	LoD: [[ 0,5,12,18,27,34,39,44,49,54,59,66,72,77,82,88,93, ]]
	data: 394,796,23,1393,1,177,780,2526,472,1234,
1564448945	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [73,1,]
	dtype: l
	LoD: [[ 0,6,18,23,36,44,47,49,51,53,56,59,61,64,67,71,73, ]]
	data: 2640,0,3722,0,2651,1,16,18,23,16,
1564448945	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [40,1,]
	dtype: l
	LoD: [[ 0,3,6,9,11,13,15,17,20,22,24,26,30,32,35,37,40, ]]
	data: 224,2413,1,3778,1555,1,34,1195,1,19,
1564448946	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [215,1,]
	dtype: l
	LoD: [[ 0,3,5,7,10,13,40,50,62,85,109,121,133,148,159,198,215, ]]
	data: 2344,1047,1,165,1,32,1,500,3220,1,
1564448946	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [153,1,]
	dtype: l
	LoD: [[ 0,13,25,38,54,72,78,85,91,96,111,117,122,134,139,143,153, ]]
	data: 531,235,1258,2851,1561,3525,1205,2609,1642,3664,
1564448946	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [187,1,]
	dtype: l
	LoD: [[ 0,12,24,29,36,41,50,73,87,97,108,119,133,141,155,170,187, ]]
	data: 16,18,19,18,19,16,18,23,23,15,
1564448946	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [119,1,]
	dtype: l
	LoD: [[ 0,8,17,40,52,65,68,71,79,83,91,98,103,108,111,116,119, ]]
	data: 3276,1024,2526,1548,1537,2320,686,1,396,3220,
1564448946	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [65,1,]
	dtype: l
	LoD: [[ 0,3,7,10,17,20,24,28,31,34,41,45,48,55,59,62,65, ]]
	data: 874,565,1,22,23,18,1,2177,1588,1,
1564448946	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,3,6,10,14,20,24,28,33,48,53,62,66,71,75,79,83, ]]
	data: 3225,1355,1,554,2307,1,23,20,23,1,
1564448946	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [78,1,]
	dtype: l
	LoD: [[ 0,5,13,18,23,28,34,37,46,51,54,59,64,68,72,75,78, ]]
	data: 1572,2320,2391,3284,1,17,18,15,17,22,
1564448946	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [53,1,]
	dtype: l
	LoD: [[ 0,4,7,11,18,23,26,29,31,33,35,37,39,43,47,49,53, ]]
	data: 172,2523,365,1,1960,2027,1,3653,386,597,
1564448946	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [87,1,]
	dtype: l
	LoD: [[ 0,3,5,10,13,16,22,41,49,54,58,62,65,70,76,82,87, ]]
	data: 2507,686,1,18,1,1358,1660,2726,346,1,
1564448946	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [144,1,]
	dtype: l
	LoD: [[ 0,5,10,14,20,25,38,44,55,65,74,91,99,105,119,135,144, ]]
	data: 2538,425,1261,736,1,3766,1036,2881,2887,1,
1564448947	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [130,1,]
	dtype: l
	LoD: [[ 0,27,35,47,55,66,71,76,81,94,99,104,107,111,117,125,130, ]]
	data: 2010,1620,2726,346,0,2570,3247,1407,3170,0,
1564448947	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [59,1,]
	dtype: l
	LoD: [[ 0,6,11,16,22,30,32,37,39,41,43,45,47,53,55,57,59, ]]
	data: 43,36,41,52,49,1,467,1315,1354,231,
1564448947	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [119,1,]
	dtype: l
	LoD: [[ 0,2,5,7,9,12,24,36,42,49,57,63,75,83,98,109,119, ]]
	data: 3329,1,3385,2156,1,2518,1,596,1,1576,
1564448947	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [80,1,]
	dtype: l
	LoD: [[ 0,11,18,33,41,48,50,56,58,60,62,65,68,70,74,78,80, ]]
	data: 17,15,16,23,14,15,17,14,15,17,
1564448947	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [164,1,]
	dtype: l
	LoD: [[ 0,2,4,6,9,11,23,40,61,84,93,105,117,133,141,150,164, ]]
	data: 2860,1,558,1,547,1,56,36,1,534,
1564448947	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [171,1,]
	dtype: l
	LoD: [[ 0,16,38,54,77,107,111,118,125,128,131,134,150,159,162,166,171, ]]
	data: 662,154,156,544,16,19,1580,107,107,16,
1564448947	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [144,1,]
	dtype: l
	LoD: [[ 0,14,20,48,53,56,61,68,80,92,101,109,116,122,127,139,144, ]]
	data: 51,25,16,23,15,16,22,22,18,22,
1564448947	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [138,1,]
	dtype: l
	LoD: [[ 0,11,16,28,36,42,48,56,61,71,80,95,104,110,117,127,138, ]]
	data: 1840,1004,3425,3448,3607,1678,1024,2853,3385,1899,
1564448948	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [105,1,]
	dtype: l
	LoD: [[ 0,10,24,30,39,44,50,55,68,73,76,80,84,90,93,100,105, ]]
	data: 1290,735,1654,1390,1944,2583,594,2922,2273,1,
1564448948	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [66,1,]
	dtype: l
	LoD: [[ 0,4,7,12,17,20,23,27,31,36,41,47,52,55,58,61,66, ]]
	data: 1947,2449,3329,1,794,231,1,3578,3148,2625,
1564448948	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [68,1,]
	dtype: l
	LoD: [[ 0,4,8,11,14,18,22,25,29,34,37,43,48,56,59,64,68, ]]
	data: 17,17,20,1,149,260,617,1,3695,1681,
1564448948	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [123,1,]
	dtype: l
	LoD: [[ 0,4,7,18,22,26,32,59,65,71,82,92,97,104,113,117,123, ]]
	data: 1163,1258,1188,1,560,2643,1,1499,1238,530,
1564448948	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [164,1,]
	dtype: l
	LoD: [[ 0,5,10,15,22,49,62,69,83,98,105,113,120,130,144,157,164, ]]
	data: 2712,664,3872,2868,1,1738,1693,3271,1947,1,
1564448948	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [133,1,]
	dtype: l
	LoD: [[ 0,10,30,40,46,67,77,84,88,93,97,102,106,120,124,128,133, ]]
	data: 3358,3655,1971,451,1355,1578,1617,2508,538,1,
1564448948	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [141,1,]
	dtype: l
	LoD: [[ 0,5,10,15,27,32,40,46,52,57,63,68,72,107,119,123,141, ]]
	data: 3125,1191,418,3023,1,154,1107,2976,3148,1,
1564448948	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [78,1,]
	dtype: l
	LoD: [[ 0,5,9,15,21,26,34,37,40,43,47,50,56,62,66,70,78, ]]
	data: 167,3766,3170,3780,1,555,162,1258,1,3215,
1564448949	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [97,1,]
	dtype: l
	LoD: [[ 0,3,8,16,19,23,29,33,45,54,60,64,69,72,88,91,97, ]]
	data: 16,18,1,3520,3892,3619,2577,1,1384,1474,
1564448949	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [61,1,]
	dtype: l
	LoD: [[ 0,3,7,10,14,20,23,26,29,33,36,39,44,47,52,57,61, ]]
	data: 221,221,1,21,252,3212,1,3265,1974,1,
1564448949	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [63,1,]
	dtype: l
	LoD: [[ 0,4,8,11,14,18,21,24,29,33,37,40,45,52,55,60,63, ]]
	data: 197,3324,1148,1,2790,981,617,1,75,68,
1564448949	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [136,1,]
	dtype: l
	LoD: [[ 0,5,14,19,28,32,41,47,53,58,91,95,105,111,118,130,136, ]]
	data: 3271,1725,436,268,1,218,15,149,154,1173,
1564448949	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [62,1,]
	dtype: l
	LoD: [[ 0,12,18,23,30,34,36,39,41,43,45,48,54,56,58,60,62, ]]
	data: 16,20,17,16,18,18,19,20,17,20,
1564448949	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [44,1,]
	dtype: l
	LoD: [[ 0,3,7,9,11,13,16,19,21,24,26,29,32,35,38,41,44, ]]
	data: 3773,574,1,2543,451,711,1,47,1,1743,
1564448949	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,3,5,8,11,14,18,23,31,47,52,57,63,70,84,91,99, ]]
	data: 185,3035,1,23,1,1546,1957,1,177,780,
1564448949	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [89,1,]
	dtype: l
	LoD: [[ 0,5,10,15,20,32,36,40,43,49,55,60,65,73,77,84,89, ]]
	data: 706,1024,2853,627,1,2765,1026,1397,2831,1,
1564448949	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [58,1,]
	dtype: l
	LoD: [[ 0,4,11,14,17,21,24,26,29,32,34,43,45,48,51,53,58, ]]
	data: 19,18,17,1,54,36,45,55,40,45,
1564448949	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [373,1,]
	dtype: l
	LoD: [[ 0,3,5,7,10,12,52,86,123,150,194,227,246,272,295,326,373, ]]
	data: 1938,1928,1,2585,1,2793,1,3360,3445,1,
1564448950	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [194,1,]
	dtype: l
	LoD: [[ 0,16,37,60,100,129,136,142,146,153,158,162,167,176,180,187,194, ]]
	data: 546,1882,190,1007,916,0,2401,2831,346,1397,
1564448950	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [111,1,]
	dtype: l
	LoD: [[ 0,5,8,17,21,26,32,39,46,51,58,66,80,85,91,103,111, ]]
	data: 385,1062,385,2449,1,645,3212,1,3628,3148,
1564448950	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [87,1,]
	dtype: l
	LoD: [[ 0,5,19,25,32,41,45,51,56,60,63,66,71,75,78,82,87, ]]
	data: 1054,3586,0,24,1,2094,1014,286,2714,25,
1564448950	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [50,1,]
	dtype: l
	LoD: [[ 0,4,8,12,17,23,25,27,30,32,34,37,39,41,43,48,50, ]]
	data: 2750,3296,871,1,1024,2393,1321,1,51,50,
1564448950	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [70,1,]
	dtype: l
	LoD: [[ 0,2,4,7,9,11,16,21,25,30,35,43,47,52,57,62,70, ]]
	data: 251,1,3218,1,1438,1505,1,2126,1,1409,
1564448950	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [98,1,]
	dtype: l
	LoD: [[ 0,15,20,31,35,39,44,51,57,63,68,73,78,84,89,93,98, ]]
	data: 2328,3231,25,16,18,23,22,23,24,16,
1564448950	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [120,1,]
	dtype: l
	LoD: [[ 0,5,15,23,28,41,45,55,60,66,73,79,85,99,104,115,120, ]]
	data: 2113,2112,762,2628,1,2201,2533,50,47,32,
1564448950	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [86,1,]
	dtype: l
	LoD: [[ 0,5,10,15,23,27,32,35,40,55,58,63,66,69,74,81,86, ]]
	data: 2327,1587,2391,3284,1,3520,2538,1138,2243,1,
1564448951	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [90,1,]
	dtype: l
	LoD: [[ 0,5,9,18,27,32,37,42,51,56,61,64,68,73,79,83,90, ]]
	data: 17,15,16,21,1,636,3905,1614,1,175,
1564448951	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [101,1,]
	dtype: l
	LoD: [[ 0,5,19,23,31,37,41,49,58,63,68,79,84,88,93,97,101, ]]
	data: 2391,3284,3324,1148,1,891,1260,1685,16,18,
1564448951	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [79,1,]
	dtype: l
	LoD: [[ 0,4,11,14,19,22,28,31,37,42,47,52,57,64,69,74,79, ]]
	data: 2526,472,400,1,1179,654,781,2691,1268,2177,
1564448951	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [77,1,]
	dtype: l
	LoD: [[ 0,6,12,19,23,31,36,42,46,51,54,60,63,66,70,73,77, ]]
	data: 1467,1664,2726,346,2140,1,17,22,24,24,
1564448951	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [115,1,]
	dtype: l
	LoD: [[ 0,9,12,17,26,31,75,78,81,84,88,92,95,100,104,110,115, ]]
	data: 2909,2508,2658,686,2909,3352,990,1733,1,2526,
1564448951	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [52,1,]
	dtype: l
	LoD: [[ 0,7,12,16,19,23,25,27,29,31,35,38,42,45,47,49,52, ]]
	data: 44,36,44,46,49,56,1,476,223,2942,
1564448951	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [164,1,]
	dtype: l
	LoD: [[ 0,2,4,6,10,22,31,46,56,64,71,84,91,98,125,137,164, ]]
	data: 165,1,39,1,49,1,16,18,22,1,
1564448951	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [114,1,]
	dtype: l
	LoD: [[ 0,15,27,32,39,55,60,63,68,79,84,93,97,101,105,109,114, ]]
	data: 2765,1026,0,2765,596,0,2380,3356,0,408,
1564448951	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [71,1,]
	dtype: l
	LoD: [[ 0,4,7,11,14,17,20,24,29,32,36,40,45,50,55,67,71, ]]
	data: 780,1300,1191,1,1418,2813,1,1061,1042,3361,
1564448951	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [113,1,]
	dtype: l
	LoD: [[ 0,3,9,12,17,24,33,39,44,51,57,62,70,75,89,97,113, ]]
	data: 1561,1595,1,157,3587,3539,3619,2577,1,3174,
1564448952	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [149,1,]
	dtype: l
	LoD: [[ 0,5,10,17,23,42,49,53,60,71,76,108,113,117,123,130,149, ]]
	data: 395,981,3322,628,1,2201,547,857,2691,1,
1564448952	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [90,1,]
	dtype: l
	LoD: [[ 0,5,10,13,17,22,27,30,33,38,41,46,56,61,68,74,90, ]]
	data: 46,3520,3893,3361,1,1580,1061,909,3175,1,
1564448952	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [97,1,]
	dtype: l
	LoD: [[ 0,12,16,22,33,40,48,52,61,64,69,72,82,85,89,94,97, ]]
	data: 16,18,21,19,15,22,19,22,21,23,
1564448952	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [92,1,]
	dtype: l
	LoD: [[ 0,3,8,23,31,36,41,46,51,56,59,64,69,74,83,87,92, ]]
	data: 720,3492,1,2328,762,476,433,1,2328,3231,
1564448952	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [43,1,]
	dtype: l
	LoD: [[ 0,4,8,13,16,20,22,24,26,28,30,33,35,37,39,41,43, ]]
	data: 275,2898,2169,1,21,18,16,1,883,2860,
1564448952	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [161,1,]
	dtype: l
	LoD: [[ 0,2,5,7,9,11,32,42,58,81,90,103,110,123,142,154,161, ]]
	data: 1188,1,75,64,1,883,1,2045,1,49,
1564448952	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [175,1,]
	dtype: l
	LoD: [[ 0,11,31,43,63,81,86,97,103,115,125,130,135,148,160,169,175, ]]
	data: 531,235,1635,599,1831,3397,2393,3722,527,801,
1564448952	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [84,1,]
	dtype: l
	LoD: [[ 0,8,16,30,39,48,50,53,57,60,63,65,72,75,77,80,84, ]]
	data: 2408,274,1075,1205,1669,1148,796,1,2219,2211,
1564448952	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [72,1,]
	dtype: l
	LoD: [[ 0,4,7,10,13,16,21,26,30,34,45,48,53,58,62,67,72, ]]
	data: 72,64,13,1,1354,231,1,736,1054,1,
1564448952	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [64,1,]
	dtype: l
	LoD: [[ 0,3,6,9,13,17,20,23,27,31,36,39,43,50,55,59,64, ]]
	data: 2253,405,1,165,3627,1,1353,877,1,47,
1564448953	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [68,1,]
	dtype: l
	LoD: [[ 0,6,10,14,17,24,27,32,35,39,45,48,53,56,61,64,68, ]]
	data: 3520,1967,3170,2092,3480,1,911,2976,30,1,
1564448953	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [55,1,]
	dtype: l
	LoD: [[ 0,7,12,15,18,21,23,25,34,36,38,40,42,45,51,53,55, ]]
	data: 3822,177,1260,999,625,1188,1,18,19,22,
1564448953	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [45,1,]
	dtype: l
	LoD: [[ 0,2,5,8,10,16,18,20,23,25,27,29,31,36,39,43,45, ]]
	data: 2643,1,50,52,1,38,10,1,1476,1,
1564448953	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [101,1,]
	dtype: l
	LoD: [[ 0,2,4,7,10,20,29,33,38,44,51,57,62,67,72,80,101, ]]
	data: 3316,1,402,1,502,1135,1,17,18,1,
1564448953	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [82,1,]
	dtype: l
	LoD: [[ 0,4,14,18,22,28,31,40,43,49,61,64,66,69,72,75,82, ]]
	data: 1061,686,3868,1,177,886,1179,796,16,15,
1564448953	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [86,1,]
	dtype: l
	LoD: [[ 0,4,10,13,18,21,27,32,37,44,49,57,64,69,78,83,86, ]]
	data: 18,3771,3212,1,2732,3813,2328,504,3358,1,
1564448953	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [129,1,]
	dtype: l
	LoD: [[ 0,5,28,35,43,47,53,60,77,82,87,92,104,109,118,122,129, ]]
	data: 2037,3003,780,3657,1,2328,3231,25,20,21,
1564448953	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [110,1,]
	dtype: l
	LoD: [[ 0,5,10,22,33,38,43,53,65,71,77,83,87,94,100,105,110, ]]
	data: 2526,1934,2853,627,1,2932,3059,402,2416,1,
1564448953	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [72,1,]
	dtype: l
	LoD: [[ 0,7,21,33,37,47,49,51,54,56,58,60,62,65,68,70,72, ]]
	data: 531,235,235,999,1075,2765,1,3205,3773,2328,
1564448953	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [44,1,]
	dtype: l
	LoD: [[ 0,2,8,10,12,15,17,19,21,24,27,29,32,37,40,42,44, ]]
	data: 49,1,2126,3777,132,2413,3777,1,1882,1,
1564448953	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [85,1,]
	dtype: l
	LoD: [[ 0,2,4,7,9,11,19,24,39,45,51,57,61,65,74,79,85, ]]
	data: 16,1,16,1,3241,3403,1,1054,1,3392,
1564448954	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [94,1,]
	dtype: l
	LoD: [[ 0,8,35,49,56,61,64,68,70,73,76,79,82,84,87,91,94, ]]
	data: 50,71,68,77,89,71,68,1,2328,3231,
1564448954	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [267,1,]
	dtype: l
	LoD: [[ 0,3,5,7,9,13,30,66,89,116,142,163,177,197,208,244,267, ]]
	data: 2925,2118,1,3771,1,542,1,2677,1,20,
1564448954	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [238,1,]
	dtype: l
	LoD: [[ 0,8,20,37,50,77,84,100,111,122,137,160,172,183,195,229,238, ]]
	data: 751,2741,780,3657,882,3492,1188,1,1179,167,
1564448954	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [253,1,]
	dtype: l
	LoD: [[ 0,9,22,42,59,71,76,86,111,136,152,171,191,211,222,234,253, ]]
	data: 1024,1530,99,1066,1383,2625,1024,1162,1,47,
1564448954	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [98,1,]
	dtype: l
	LoD: [[ 0,12,29,39,54,71,74,76,79,81,83,85,87,89,93,95,98, ]]
	data: 238,977,2177,132,1010,1010,2177,132,1588,1593,
1564448954	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [78,1,]
	dtype: l
	LoD: [[ 0,3,7,9,11,13,17,22,27,47,51,56,62,65,70,74,78, ]]
	data: 554,1794,1,542,1074,3494,1,2273,1,2867,
1564448955	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [76,1,]
	dtype: l
	LoD: [[ 0,3,8,13,27,32,35,40,43,47,51,54,58,63,67,73,76, ]]
	data: 740,2709,1,38,49,36,36,1,1595,944,
1564448955	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [107,1,]
	dtype: l
	LoD: [[ 0,5,17,21,31,35,40,45,49,61,67,72,82,86,92,102,107, ]]
	data: 2640,399,1960,3154,1,16,18,23,16,22,
1564448955	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [67,1,]
	dtype: l
	LoD: [[ 0,4,15,22,29,34,36,38,41,43,46,51,55,58,60,65,67, ]]
	data: 604,2924,1656,1,3525,1581,2328,2312,154,3363,
1564448955	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [45,1,]
	dtype: l
	LoD: [[ 0,5,9,11,13,18,20,22,24,26,28,31,35,38,40,42,45, ]]
	data: 37,40,37,32,1,104,50,52,1,1049,
1564448955	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [71,1,]
	dtype: l
	LoD: [[ 0,2,4,7,9,11,18,23,28,35,40,43,48,52,59,65,71, ]]
	data: 2671,1,214,1,16,20,1,1642,1,1354,
1564448955	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [114,1,]
	dtype: l
	LoD: [[ 0,4,9,16,21,25,41,49,55,66,70,76,86,92,104,109,114, ]]
	data: 1135,309,1016,1,1172,999,1207,3583,1,69,
1564448955	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [56,1,]
	dtype: l
	LoD: [[ 0,5,12,16,22,26,28,31,39,42,44,46,48,50,52,54,56, ]]
	data: 2790,395,2155,3722,1,379,2588,2041,197,177,
1564448955	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [84,1,]
	dtype: l
	LoD: [[ 0,2,4,6,9,11,18,23,30,36,46,51,56,61,74,79,84, ]]
	data: 1069,1,3187,1,1365,1,3696,2942,1,711,
1564448955	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [143,1,]
	dtype: l
	LoD: [[ 0,11,16,21,29,41,47,55,63,70,93,100,110,116,125,132,143, ]]
	data: 82,84,77,72,77,70,13,66,78,76,
1564448955	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [98,1,]
	dtype: l
	LoD: [[ 0,10,23,33,48,65,67,69,71,75,77,84,86,88,91,96,98, ]]
	data: 23,15,17,15,0,3770,2251,1409,879,1,
1564448955	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [88,1,]
	dtype: l
	LoD: [[ 0,2,4,7,10,12,21,27,37,42,51,56,61,69,77,83,88, ]]
	data: 1968,1,1476,1,386,180,1,18,22,1,
1564448956	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [94,1,]
	dtype: l
	LoD: [[ 0,5,15,20,37,45,48,51,55,66,69,72,76,83,86,89,94, ]]
	data: 3086,870,2151,3086,1,2320,1260,1513,2539,0,
1564448956	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [218,1,]
	dtype: l
	LoD: [[ 0,4,8,13,16,21,29,94,109,123,152,159,170,182,198,209,218, ]]
	data: 1024,1537,1660,1,1643,593,785,1,1794,1767,
1564448956	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [152,1,]
	dtype: l
	LoD: [[ 0,28,38,47,67,84,96,100,105,111,116,121,126,133,136,145,152, ]]
	data: 2328,3231,25,15,18,22,18,12,22,17,
1564448956	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [90,1,]
	dtype: l
	LoD: [[ 0,5,13,32,37,40,44,47,51,58,62,68,71,74,80,86,90, ]]
	data: 1586,1993,1179,654,1,57,39,40,0,33,
1564448956	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [52,1,]
	dtype: l
	LoD: [[ 0,3,6,10,13,16,18,21,24,28,31,33,35,38,43,45,52, ]]
	data: 882,584,1,3802,3385,1,33,2540,1010,1,
1564448956	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [59,1,]
	dtype: l
	LoD: [[ 0,2,4,10,12,17,21,27,30,35,38,44,47,49,52,56,59, ]]
	data: 2526,1,2249,1,75,75,64,77,84,1,
1564448956	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [149,1,]
	dtype: l
	LoD: [[ 0,4,7,10,13,16,49,54,65,72,80,86,111,123,134,142,149, ]]
	data: 19,15,17,1,762,1768,1,19,17,1,
1564448956	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [112,1,]
	dtype: l
	LoD: [[ 0,9,18,27,39,55,59,62,65,67,71,73,79,81,87,89,112, ]]
	data: 50,42,36,34,39,36,49,50,1,1363,
1564448957	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [222,1,]
	dtype: l
	LoD: [[ 0,2,4,8,11,13,37,73,91,103,118,150,159,174,191,206,222, ]]
	data: 2401,1,3806,1,64,75,75,1,235,235,
1564448957	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [166,1,]
	dtype: l
	LoD: [[ 0,25,42,66,71,82,88,95,103,110,115,127,134,148,152,157,166, ]]
	data: 883,1213,3540,3520,740,2078,0,1903,3358,346,
1564448957	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [156,1,]
	dtype: l
	LoD: [[ 0,11,44,56,63,71,77,90,95,104,111,124,134,139,144,150,156, ]]
	data: 1808,3914,2604,541,149,2704,1977,624,309,2508,
1564448957	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [122,1,]
	dtype: l
	LoD: [[ 0,5,10,20,26,34,40,45,51,61,66,79,85,93,105,117,122, ]]
	data: 1644,503,1580,3627,1,1054,3847,3358,3148,1,
1564448957	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [64,1,]
	dtype: l
	LoD: [[ 0,10,15,24,31,38,40,42,44,46,49,53,56,58,60,62,64, ]]
	data: 24,17,21,15,15,17,21,22,23,1,
1564448957	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [59,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,11,13,17,21,26,28,33,36,41,44,56,59, ]]
	data: 1899,1,1393,1,547,1,2526,1,16,20,
1564448957	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [125,1,]
	dtype: l
	LoD: [[ 0,3,6,10,13,17,24,33,56,68,74,82,87,94,106,113,125, ]]
	data: 2027,251,1,24,17,1,43,32,36,1,
1564448957	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [76,1,]
	dtype: l
	LoD: [[ 0,6,11,26,34,50,52,54,56,58,61,64,66,68,71,74,76, ]]
	data: 1005,1562,1467,1664,1188,1,3186,3648,554,3342,
1564448957	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [101,1,]
	dtype: l
	LoD: [[ 0,2,4,7,9,11,22,27,32,39,43,49,58,63,83,95,101, ]]
	data: 2820,1,21,1,3053,789,1,1409,1,2150,
1564448958	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [75,1,]
	dtype: l
	LoD: [[ 0,5,9,14,19,22,34,40,47,50,53,57,60,64,67,71,75, ]]
	data: 616,2684,2765,1026,1,769,2218,3492,1,212,
1564448958	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [76,1,]
	dtype: l
	LoD: [[ 0,4,7,11,14,21,26,33,39,43,47,52,56,62,67,72,76, ]]
	data: 18,16,22,1,2508,538,1,154,945,1693,
1564448958	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [86,1,]
	dtype: l
	LoD: [[ 0,5,14,21,26,42,52,55,58,61,65,72,75,77,79,81,86, ]]
	data: 1993,3848,3324,1148,1,3905,3361,2401,405,1397,
1564448958	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,3,8,13,16,19,24,30,35,46,56,61,65,69,89,94,99, ]]
	data: 17,19,1,3325,1832,2857,2625,1,1198,874,
1564448958	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [101,1,]
	dtype: l
	LoD: [[ 0,5,10,15,22,62,65,70,73,76,79,83,85,90,93,97,101, ]]
	data: 1529,1260,2820,1188,1,3719,500,165,503,1,
1564448958	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [141,1,]
	dtype: l
	LoD: [[ 0,4,19,24,27,30,38,46,49,63,72,84,89,112,125,135,141, ]]
	data: 235,2207,2401,1,3433,822,7,155,1993,8,
1564448958	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [88,1,]
	dtype: l
	LoD: [[ 0,15,27,37,49,58,60,62,64,66,68,71,73,76,81,85,88, ]]
	data: 882,280,905,3773,2328,3231,0,21,16,17,
1564448958	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [86,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,10,20,24,29,45,50,58,65,70,75,81,86, ]]
	data: 1831,1,2391,1,2924,1,3148,1,1358,1,
1564448958	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [87,1,]
	dtype: l
	LoD: [[ 0,8,16,19,24,32,36,41,45,49,56,60,72,77,80,84,87, ]]
	data: 882,2415,3868,0,3898,2163,3868,1,3,3,
1564448959	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [117,1,]
	dtype: l
	LoD: [[ 0,5,8,14,18,22,27,38,44,50,60,65,71,76,105,109,117, ]]
	data: 18,23,12,22,1,689,155,1,2319,0,
1564448959	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [204,1,]
	dtype: l
	LoD: [[ 0,7,16,28,32,38,47,59,78,88,119,130,140,161,176,194,204, ]]
	data: 2328,1767,2421,3392,154,1794,1,366,1198,2436,
1564448959	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [146,1,]
	dtype: l
	LoD: [[ 0,7,17,31,41,62,70,75,83,90,98,117,123,127,132,141,146, ]]
	data: 1036,3012,2866,2567,439,2832,1,178,2407,1482,
1564448959	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [79,1,]
	dtype: l
	LoD: [[ 0,11,16,20,25,32,35,38,42,45,50,53,67,70,73,76,79, ]]
	data: 18,20,19,20,17,18,24,17,17,17,
1564448959	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [376,1,]
	dtype: l
	LoD: [[ 0,3,5,8,12,15,67,96,135,149,188,207,241,272,300,330,376, ]]
	data: 1543,654,1,385,1,1418,2813,1,41,66,
1564448959	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [198,1,]
	dtype: l
	LoD: [[ 0,35,63,111,135,175,177,179,181,183,185,187,190,192,194,196,198, ]]
	data: 50,71,72,77,68,75,78,77,0,39,
1564448959	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [36,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,10,12,14,17,20,22,24,27,29,31,33,36, ]]
	data: 1409,1,3875,1,1409,1,381,1,3843,1,
1564448960	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [94,1,]
	dtype: l
	LoD: [[ 0,3,5,7,11,14,29,41,46,51,56,60,70,76,81,87,94, ]]
	data: 160,165,1,472,1,2651,1,735,1958,1958,
1564448960	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [173,1,]
	dtype: l
	LoD: [[ 0,3,10,14,21,25,38,45,64,87,99,117,131,141,156,166,173, ]]
	data: 2620,248,1,3525,3375,2677,1651,1024,405,1,
1564448960	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [116,1,]
	dtype: l
	LoD: [[ 0,8,17,33,49,66,80,85,88,91,95,98,101,104,107,113,116, ]]
	data: 2257,3247,613,2049,2976,160,553,1,1642,1354,
1564448960	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [67,1,]
	dtype: l
	LoD: [[ 0,7,11,15,31,34,36,38,41,43,46,52,54,57,62,65,67, ]]
	data: 1193,1574,3520,1083,770,1525,1,1831,3397,1301,
1564448960	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [78,1,]
	dtype: l
	LoD: [[ 0,2,4,13,15,17,23,28,36,46,50,56,61,66,70,74,78, ]]
	data: 47,1,2545,1,3324,945,2328,1897,3336,1252,
1564448960	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [85,1,]
	dtype: l
	LoD: [[ 0,5,10,14,20,26,38,42,46,51,56,61,67,72,76,80,85, ]]
	data: 32,34,34,32,1,381,1401,2320,570,1,
1564448960	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [74,1,]
	dtype: l
	LoD: [[ 0,7,12,21,25,30,33,36,41,46,50,53,56,60,66,70,74, ]]
	data: 394,780,1358,1660,229,3296,1,3696,1111,2976,
1564448960	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [50,1,]
	dtype: l
	LoD: [[ 0,3,6,9,11,18,21,23,26,28,30,32,35,38,45,48,50, ]]
	data: 160,364,1,2454,1882,1,1960,3358,1,2779,
1564448960	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [100,1,]
	dtype: l
	LoD: [[ 0,5,7,13,15,18,25,30,39,47,51,63,68,82,87,93,100, ]]
	data: 2814,2677,1028,3793,1,767,1,2684,1358,1135,
1564448960	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [114,1,]
	dtype: l
	LoD: [[ 0,6,11,26,33,38,50,55,62,67,70,84,89,96,105,109,114, ]]
	data: 3258,3172,882,2976,3148,1,1944,416,396,618,
1564448960	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [91,1,]
	dtype: l
	LoD: [[ 0,6,10,31,35,43,47,52,56,60,65,69,73,77,81,84,91, ]]
	data: 2538,1693,3771,686,1188,1,554,3648,1281,1,
1564448961	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [59,1,]
	dtype: l
	LoD: [[ 0,5,12,16,21,25,29,33,36,39,41,43,45,48,51,56,59, ]]
	data: 1382,596,3698,711,1,260,500,3405,2586,0,
1564448961	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [73,1,]
	dtype: l
	LoD: [[ 0,4,6,9,11,14,19,24,30,35,41,45,51,56,61,68,73, ]]
	data: 17,13,20,1,2526,1,1595,883,1,1409,
1564448961	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [154,1,]
	dtype: l
	LoD: [[ 0,5,10,15,20,25,37,53,65,78,88,94,100,116,128,137,154, ]]
	data: 177,3280,2625,3445,1,2515,2526,1595,2926,1,
1564448961	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [106,1,]
	dtype: l
	LoD: [[ 0,5,11,27,33,45,50,55,60,64,69,75,80,86,93,101,106, ]]
	data: 1831,3397,386,180,1,2730,1928,1135,309,2583,
1564448961	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [97,1,]
	dtype: l
	LoD: [[ 0,11,17,22,27,32,35,40,43,46,51,55,69,85,88,95,97, ]]
	data: 3882,3876,0,1685,1669,14,1007,476,1024,1075,
1564448961	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [79,1,]
	dtype: l
	LoD: [[ 0,4,8,11,15,19,23,36,39,46,52,55,61,64,71,74,79, ]]
	data: 24,24,15,1,2240,2825,3868,1,3520,3843,
1564448961	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [51,1,]
	dtype: l
	LoD: [[ 0,3,9,12,18,21,23,25,27,29,34,36,38,41,43,45,51, ]]
	data: 2150,3492,1,167,531,2461,3586,2180,1,636,
1564448961	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [118,1,]
	dtype: l
	LoD: [[ 0,3,5,7,9,11,18,23,29,52,60,65,87,94,101,110,118, ]]
	data: 889,2346,1,49,1,2576,1,10,1,23,
1564448961	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [68,1,]
	dtype: l
	LoD: [[ 0,7,18,24,29,43,45,47,49,51,55,57,59,62,64,66,68, ]]
	data: 3250,3777,1188,1831,3397,1301,1,16,18,24,
1564448961	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [47,1,]
	dtype: l
	LoD: [[ 0,5,7,9,11,14,20,22,25,29,31,34,37,39,42,45,47, ]]
	data: 16,18,15,23,1,49,1,2753,1,618,
1564448961	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [71,1,]
	dtype: l
	LoD: [[ 0,2,4,9,11,13,19,23,28,34,39,47,50,54,58,65,71, ]]
	data: 3653,1,1465,1,2765,1026,2765,596,1,3848,
1564448962	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [96,1,]
	dtype: l
	LoD: [[ 0,5,14,17,27,31,46,52,64,68,74,77,80,83,88,93,96, ]]
	data: 2526,1593,3833,2177,1,1024,3459,394,3565,1024,
1564448962	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [116,1,]
	dtype: l
	LoD: [[ 0,5,9,13,16,19,23,30,34,39,44,49,92,101,106,111,116, ]]
	data: 1738,498,2570,3247,1,2328,3231,25,1,3053,
1564448962	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [119,1,]
	dtype: l
	LoD: [[ 0,5,8,14,21,26,35,38,51,59,75,83,88,94,99,107,119, ]]
	data: 612,3436,1024,775,1,1321,418,1,3449,3648,
1564448962	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [81,1,]
	dtype: l
	LoD: [[ 0,10,18,23,29,35,38,41,45,54,58,64,67,71,74,78,81, ]]
	data: 149,304,3433,565,0,1374,1481,1227,1753,1,
1564448962	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [381,1,]
	dtype: l
	LoD: [[ 0,18,30,36,47,50,62,97,136,164,198,224,257,303,330,364,381, ]]
	data: 185,3035,25,500,396,2320,686,990,2319,2320,
1564448962	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [315,1,]
	dtype: l
	LoD: [[ 0,24,53,87,105,142,164,180,194,204,217,229,237,252,262,271,315, ]]
	data: 2328,3231,25,16,18,22,16,15,23,20,
1564448962	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [155,1,]
	dtype: l
	LoD: [[ 0,18,37,47,58,77,80,85,90,95,102,106,121,127,132,140,155, ]]
	data: 223,3520,1205,1669,0,1881,1626,563,1992,0,
1564448962	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [119,1,]
	dtype: l
	LoD: [[ 0,3,7,12,17,24,31,37,41,53,77,88,97,102,109,114,119, ]]
	data: 3492,1188,1,3896,3385,1410,1,1958,1925,2829,
1564448963	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [104,1,]
	dtype: l
	LoD: [[ 0,3,11,20,28,34,39,48,55,60,68,77,84,89,94,99,104, ]]
	data: 3,3,1,50,40,36,44,36,45,50,
1564448963	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [123,1,]
	dtype: l
	LoD: [[ 0,8,13,23,28,33,45,55,61,73,79,88,91,98,105,115,123, ]]
	data: 15,15,12,16,23,18,15,1,1014,1353,
1564448963	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [89,1,]
	dtype: l
	LoD: [[ 0,15,20,28,40,51,55,58,60,71,74,76,78,80,82,87,89, ]]
	data: 1053,3293,3194,498,77,78,65,75,68,0,
1564448963	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [94,1,]
	dtype: l
	LoD: [[ 0,2,4,7,9,11,19,27,42,46,56,67,71,76,82,90,94, ]]
	data: 3607,1,2150,1,33,37,1,3324,1,2704,
1564448963	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [75,1,]
	dtype: l
	LoD: [[ 0,5,15,20,24,33,36,39,54,57,60,62,64,67,70,72,75, ]]
	data: 2391,316,2577,1156,1,2790,2390,2454,396,3342,
1564448963	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [35,1,]
	dtype: l
	LoD: [[ 0,2,4,6,9,11,13,15,17,19,22,24,26,28,30,33,35, ]]
	data: 582,1,1483,1,2526,1,2518,671,1,3280,
1564448963	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [72,1,]
	dtype: l
	LoD: [[ 0,3,5,8,10,12,14,17,20,23,34,37,40,44,48,67,72, ]]
	data: 1642,3284,1,49,1,0,95,1,2328,1,
1564448963	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [49,1,]
	dtype: l
	LoD: [[ 0,2,5,11,15,19,22,24,26,30,32,36,38,40,42,44,49, ]]
	data: 3478,1,628,534,1,34,49,46,54,45,
1564448963	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [44,1,]
	dtype: l
	LoD: [[ 0,3,5,7,10,12,15,17,20,22,25,28,32,35,38,41,44, ]]
	data: 3485,177,1,1409,1,1663,1,3581,1024,1,
1564448964	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,3,6,9,13,16,22,31,37,42,49,61,66,70,79,83,99, ]]
	data: 157,216,1,2112,2153,1,628,3492,1,999,
1564448964	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,5,17,27,32,41,44,48,50,55,60,63,67,72,74,80,83, ]]
	data: 882,1729,2960,3236,1,16,18,17,23,20,
1564448964	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [71,1,]
	dtype: l
	LoD: [[ 0,2,6,9,14,19,24,29,33,38,47,52,55,60,64,67,71, ]]
	data: 3660,1,596,1409,187,1,3565,2924,1,2519,
1564448964	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [158,1,]
	dtype: l
	LoD: [[ 0,5,9,15,21,28,34,43,54,61,79,114,126,133,140,148,158, ]]
	data: 18,99,16,20,1,40,36,49,1,223,
1564448964	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [80,1,]
	dtype: l
	LoD: [[ 0,7,12,27,37,42,45,48,51,54,60,64,67,71,74,77,80, ]]
	data: 33,32,35,36,50,36,1,1358,1135,1436,
1564448964	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [80,1,]
	dtype: l
	LoD: [[ 0,3,6,10,14,17,23,26,35,38,46,54,57,60,65,70,80, ]]
	data: 625,2518,1,613,3556,1,2604,16,3445,1,
1564448964	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [79,1,]
	dtype: l
	LoD: [[ 0,4,7,12,18,21,24,28,31,37,41,46,49,61,67,74,79, ]]
	data: 3893,2165,801,1,437,2401,1,33,32,45,
1564448964	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,4,9,15,20,25,31,36,40,45,52,56,65,68,74,79,83, ]]
	data: 283,658,476,1,2712,664,3872,2868,1,3200,
1564448964	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [81,1,]
	dtype: l
	LoD: [[ 0,4,8,11,16,21,25,31,34,39,42,45,48,53,76,78,81, ]]
	data: 717,503,3480,1,3035,165,177,1,3,3,
1564448964	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [61,1,]
	dtype: l
	LoD: [[ 0,3,8,11,14,17,23,26,29,34,38,41,46,52,55,58,61, ]]
	data: 56,32,1,573,1024,2421,3582,1,3362,3208,
1564448965	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [51,1,]
	dtype: l
	LoD: [[ 0,3,8,14,17,22,25,27,29,33,35,40,42,45,47,49,51, ]]
	data: 3801,3780,1,740,2709,419,2429,1,34,71,
1564448965	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [56,1,]
	dtype: l
	LoD: [[ 0,2,7,9,12,15,19,23,27,30,33,37,44,47,50,53,56, ]]
	data: 2275,1,3170,3780,1644,503,1,547,1,2328,
1564448965	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [101,1,]
	dtype: l
	LoD: [[ 0,6,18,24,27,31,39,60,66,70,75,80,84,88,93,96,101, ]]
	data: 1576,1537,0,1177,1537,1,2328,3231,25,23,
1564448965	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [138,1,]
	dtype: l
	LoD: [[ 0,5,10,16,21,25,33,38,43,50,60,67,76,82,88,96,138, ]]
	data: 531,235,882,990,1,1831,3397,386,180,1,
1564448965	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [196,1,]
	dtype: l
	LoD: [[ 0,6,11,17,24,34,55,62,71,91,102,129,138,153,170,185,196, ]]
	data: 2286,1966,1971,451,1355,1,1061,1855,1268,565,
1564448965	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [106,1,]
	dtype: l
	LoD: [[ 0,13,18,33,42,50,60,65,70,75,80,83,88,93,97,102,106, ]]
	data: 3802,2942,1754,2508,538,1652,1345,1173,240,1968,
1564448965	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [49,1,]
	dtype: l
	LoD: [[ 0,5,9,12,15,20,22,24,27,30,33,36,39,41,43,46,49, ]]
	data: 1993,1148,3898,834,1,16,20,15,1,2651,
1564448965	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [140,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,10,25,38,53,58,69,80,89,109,116,133,140, ]]
	data: 2390,1,2696,1,49,1,301,1,1260,1,
1564448965	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [120,1,]
	dtype: l
	LoD: [[ 0,14,30,39,54,69,72,76,80,86,90,95,98,101,110,115,120, ]]
	data: 1496,3393,3044,1024,2035,3342,20,17,20,617,
1564448966	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [216,1,]
	dtype: l
	LoD: [[ 0,4,7,10,13,23,44,59,78,106,117,147,157,168,183,202,216, ]]
	data: 3719,2997,686,1,897,999,1,2050,2357,1,
1564448966	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [168,1,]
	dtype: l
	LoD: [[ 0,9,24,38,55,80,92,98,103,128,136,141,148,153,158,163,168, ]]
	data: 3914,2851,604,406,2677,1651,1024,405,1,1681,
1564448966	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [133,1,]
	dtype: l
	LoD: [[ 0,8,23,29,43,48,52,57,61,68,73,77,92,98,103,106,133, ]]
	data: 45,36,47,50,51,32,49,1,2328,3231,
1564448966	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [76,1,]
	dtype: l
	LoD: [[ 0,5,9,21,28,31,35,38,42,45,50,53,56,62,65,73,76, ]]
	data: 381,1179,527,2140,1,1960,3154,1660,1,2570,
1564448966	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [59,1,]
	dtype: l
	LoD: [[ 0,4,13,18,22,27,29,31,34,36,42,45,50,52,55,57,59, ]]
	data: 20,24,20,1,396,2211,99,1483,1195,3751,
1564448966	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [97,1,]
	dtype: l
	LoD: [[ 0,3,5,7,17,19,24,29,34,39,44,49,55,73,77,91,97, ]]
	data: 1327,1276,1,1319,1,1358,1,2695,25,17,
1564448966	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,5,10,15,21,29,36,40,43,48,56,60,63,68,72,79,83, ]]
	data: 1475,2273,436,2484,1,15,17,21,21,1,
1564448966	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [74,1,]
	dtype: l
	LoD: [[ 0,3,8,13,18,22,26,30,33,37,41,44,49,53,58,69,74, ]]
	data: 3445,1188,1,279,3626,3778,686,1,999,3277,
1564448966	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [79,1,]
	dtype: l
	LoD: [[ 0,2,5,8,12,19,24,29,41,46,53,58,61,65,68,73,79, ]]
	data: 149,1,386,1588,1,2077,237,1,3423,2461,
1564448966	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [45,1,]
	dtype: l
	LoD: [[ 0,5,8,13,16,20,22,25,27,29,31,33,35,38,40,43,45, ]]
	data: 34,32,33,43,1,19,381,1,3735,197,
1564448967	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [181,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,10,26,40,52,63,74,89,104,120,132,158,181, ]]
	data: 2526,1,2275,1,3893,1,2526,1,2407,1,
1564448967	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [140,1,]
	dtype: l
	LoD: [[ 0,22,32,46,64,76,81,86,91,95,101,112,116,119,126,134,140, ]]
	data: 1384,1474,25,623,882,160,3668,1733,274,217,
1564448967	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,4,16,19,30,40,45,51,54,59,64,69,77,82,86,94,99, ]]
	data: 1002,1832,3914,1,16,18,24,16,18,23,
1564448967	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [128,1,]
	dtype: l
	LoD: [[ 0,9,21,28,33,39,51,57,64,69,86,96,100,107,119,124,128, ]]
	data: 2530,3417,279,240,658,1968,504,1016,1,16,
1564448967	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [54,1,]
	dtype: l
	LoD: [[ 0,5,9,13,18,29,31,33,35,37,40,42,44,46,48,51,54, ]]
	data: 884,3648,1179,654,1,185,3035,25,1,3518,
1564448967	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [85,1,]
	dtype: l
	LoD: [[ 0,3,5,7,11,13,20,23,27,42,46,49,63,68,77,80,85, ]]
	data: 16,20,1,2543,1,2942,1,1304,1319,664,
1564448967	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [337,1,]
	dtype: l
	LoD: [[ 0,4,8,13,18,21,47,88,117,168,195,216,237,252,280,298,337, ]]
	data: 42,40,32,1,2210,2390,2668,1,870,1061,
1564448968	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [169,1,]
	dtype: l
	LoD: [[ 0,24,53,76,93,126,129,132,136,142,146,149,156,159,162,166,169, ]]
	data: 2890,2707,1687,14,3539,2707,1687,14,3554,2924,
1564448968	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [111,1,]
	dtype: l
	LoD: [[ 0,3,6,9,14,17,27,35,47,58,65,72,81,87,94,104,111, ]]
	data: 50,32,1,352,2890,1,3778,1555,1,1054,
1564448968	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [69,1,]
	dtype: l
	LoD: [[ 0,6,11,17,24,29,33,37,41,44,47,50,53,56,59,67,69, ]]
	data: 32,35,32,51,32,1,857,2691,160,553,
1564448968	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [69,1,]
	dtype: l
	LoD: [[ 0,2,6,10,13,17,22,27,32,37,43,46,49,53,58,66,69, ]]
	data: 874,1,20,16,18,1,1135,573,1188,1,
1564448968	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [76,1,]
	dtype: l
	LoD: [[ 0,3,18,21,25,29,35,39,43,46,49,52,56,59,64,71,76, ]]
	data: 2812,504,1,1258,780,3841,1955,2765,780,547,
1564448968	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [151,1,]
	dtype: l
	LoD: [[ 0,4,7,9,16,21,37,46,55,67,79,98,107,113,136,144,151, ]]
	data: 21,17,23,1,2413,3777,1,15,1,3517,
1564448968	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [162,1,]
	dtype: l
	LoD: [[ 0,8,15,30,54,69,76,81,103,110,118,125,131,136,151,156,162, ]]
	data: 1636,3648,223,3148,604,177,539,1,3044,882,
1564448969	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [163,1,]
	dtype: l
	LoD: [[ 0,5,15,20,29,40,52,56,63,106,115,122,130,136,142,156,163, ]]
	data: 2094,243,603,2878,1,1179,1132,1148,3325,2533,
1564448969	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [112,1,]
	dtype: l
	LoD: [[ 0,5,12,17,23,45,50,57,60,72,86,89,92,97,102,107,112, ]]
	data: 2658,686,909,3170,1,86,68,67,78,76,
1564448969	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [63,1,]
	dtype: l
	LoD: [[ 0,3,15,23,28,32,38,40,42,45,48,50,54,56,59,61,63, ]]
	data: 1976,2709,1,1909,3648,495,3771,3690,773,11,
1564448969	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [94,1,]
	dtype: l
	LoD: [[ 0,2,6,8,10,13,29,41,46,49,52,65,70,78,84,91,94, ]]
	data: 1572,1,2704,3035,3480,1,2390,1,2433,1,
1564448969	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [50,1,]
	dtype: l
	LoD: [[ 0,3,8,11,18,22,24,27,32,34,36,38,40,42,44,48,50, ]]
	data: 2570,577,1,1002,882,2853,627,1,2820,3722,
1564448969	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [67,1,]
	dtype: l
	LoD: [[ 0,3,6,8,10,13,17,22,25,32,37,40,43,46,59,62,67, ]]
	data: 21,381,1,15,21,1,2976,1,2260,1,
1564448969	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [86,1,]
	dtype: l
	LoD: [[ 0,3,9,16,32,37,42,47,52,55,63,69,72,76,79,82,86, ]]
	data: 857,1149,1,16,14,23,15,15,1,46,
1564448969	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [67,1,]
	dtype: l
	LoD: [[ 0,3,7,11,16,19,23,28,31,34,38,41,51,56,60,63,67, ]]
	data: 504,3358,1,882,1529,269,1,19,20,20,
1564448969	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [148,1,]
	dtype: l
	LoD: [[ 0,4,8,28,32,36,42,47,62,95,100,109,118,130,138,143,148, ]]
	data: 3689,2265,3637,1,1790,1729,156,1,794,798,
1564448969	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [105,1,]
	dtype: l
	LoD: [[ 0,14,23,36,44,50,53,76,78,80,84,86,89,92,95,100,105, ]]
	data: 2328,3231,16,20,16,21,19,17,21,18,
1564448970	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [77,1,]
	dtype: l
	LoD: [[ 0,7,13,20,25,30,33,37,44,50,54,58,62,65,69,73,77, ]]
	data: 35,72,77,70,70,68,1,582,1148,3914,
1564448970	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [92,1,]
	dtype: l
	LoD: [[ 0,4,9,12,16,22,28,33,38,46,52,57,68,76,81,87,92, ]]
	data: 16,18,16,1,394,833,2354,1396,1,909,
1564448970	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [132,1,]
	dtype: l
	LoD: [[ 0,8,15,20,26,37,45,50,56,61,67,92,102,107,116,127,132, ]]
	data: 1384,1474,25,1651,1078,473,855,1,3293,1132,
1564448970	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [157,1,]
	dtype: l
	LoD: [[ 0,6,20,37,57,63,80,89,95,104,109,114,125,131,143,150,157, ]]
	data: 2408,1024,1995,1555,573,1,1644,503,2157,2695,
1564448970	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [165,1,]
	dtype: l
	LoD: [[ 0,10,17,49,56,76,84,98,104,110,115,127,136,142,149,156,165, ]]
	data: 16,18,22,17,24,23,18,22,15,1,
1564448970	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [156,1,]
	dtype: l
	LoD: [[ 0,9,15,21,36,50,74,81,88,96,108,116,120,130,142,150,156, ]]
	data: 394,1561,72,47,71,78,77,68,1,24,
1564448970	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [124,1,]
	dtype: l
	LoD: [[ 0,17,21,26,32,46,50,55,62,69,73,82,90,98,109,116,124, ]]
	data: 2047,1896,1035,879,2175,1869,1642,3664,396,618,
1564448970	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [88,1,]
	dtype: l
	LoD: [[ 0,7,14,21,28,34,39,43,48,56,61,65,69,74,78,83,88, ]]
	data: 204,1966,2390,3751,396,1037,1,2037,2968,2976,
1564448970	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [79,1,]
	dtype: l
	LoD: [[ 0,5,10,16,21,29,33,36,42,45,48,55,63,66,71,73,79, ]]
	data: 177,1258,624,3301,1,1135,2924,1024,2693,1,
1564448970	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [55,1,]
	dtype: l
	LoD: [[ 0,5,8,12,16,22,24,26,29,31,33,40,43,46,49,52,55, ]]
	data: 34,40,51,34,1,785,1188,1,16,18,
1564448971	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [94,1,]
	dtype: l
	LoD: [[ 0,3,8,11,14,19,27,32,38,43,51,57,64,69,80,89,94, ]]
	data: 1735,1654,1,932,928,3329,1992,1,3914,882,
1564448971	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [96,1,]
	dtype: l
	LoD: [[ 0,7,14,19,24,33,38,44,48,54,59,64,69,74,81,87,96, ]]
	data: 33,52,43,43,396,2211,1,2433,3613,0,
1564448971	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [204,1,]
	dtype: l
	LoD: [[ 0,26,32,41,46,56,73,85,100,115,128,143,162,171,180,195,204, ]]
	data: 711,1354,0,388,3296,2389,3212,0,678,3233,
1564448971	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [125,1,]
	dtype: l
	LoD: [[ 0,12,23,36,48,58,65,71,75,82,87,93,103,109,113,119,125, ]]
	data: 2949,177,0,1179,167,2313,2466,1382,596,177,
1564448971	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [176,1,]
	dtype: l
	LoD: [[ 0,4,10,15,24,30,47,62,76,88,105,117,128,138,150,159,176, ]]
	data: 3520,494,801,1,3035,165,2900,438,1615,1,
1564448971	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [151,1,]
	dtype: l
	LoD: [[ 0,11,20,49,60,69,76,89,94,105,111,118,123,129,137,142,151, ]]
	data: 160,165,2726,346,999,3170,2027,1960,451,711,
1564448971	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [120,1,]
	dtype: l
	LoD: [[ 0,13,21,30,40,53,57,63,70,88,95,100,103,106,111,115,120, ]]
	data: 41,40,45,38,46,40,32,46,0,40,
1564448971	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [230,1,]
	dtype: l
	LoD: [[ 0,13,20,23,27,30,42,59,73,89,114,131,153,185,202,218,230, ]]
	data: 53,64,81,68,0,83,71,68,0,46,
1564448971	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [182,1,]
	dtype: l
	LoD: [[ 0,27,57,74,90,97,101,121,128,143,148,152,162,168,172,177,182, ]]
	data: 1358,1660,25,16,18,18,24,20,19,21,
1564448972	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [118,1,]
	dtype: l
	LoD: [[ 0,4,14,18,24,29,35,39,44,50,55,60,65,70,77,113,118, ]]
	data: 40,50,32,1,2583,2140,40,35,25,17,
1564448972	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [87,1,]
	dtype: l
	LoD: [[ 0,8,24,29,33,38,42,46,49,55,59,64,71,75,79,83,87, ]]
	data: 17,15,16,23,2604,541,1077,1,877,2177,
1564448972	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,5,7,10,14,19,23,28,40,46,50,55,60,65,71,76,83, ]]
	data: 1047,3289,17,628,1,46,1,3660,3507,1,
1564448972	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [97,1,]
	dtype: l
	LoD: [[ 0,9,16,21,33,38,47,56,62,69,74,77,80,84,88,93,97, ]]
	data: 1214,3751,366,1198,2256,339,2275,1270,1,3520,
1564448972	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [98,1,]
	dtype: l
	LoD: [[ 0,4,8,13,17,22,30,36,42,48,54,62,67,74,82,93,98, ]]
	data: 45,36,16,1,17,22,21,1,283,3210,
1564448972	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [72,1,]
	dtype: l
	LoD: [[ 0,9,14,23,42,49,51,54,56,58,60,62,64,66,68,70,72, ]]
	data: 88,86,86,68,75,75,3843,405,1,593,
1564448972	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [40,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,10,12,15,18,23,25,27,30,33,36,38,40, ]]
	data: 2813,1,2454,1,1409,1,408,1,47,1,
1564448972	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [68,1,]
	dtype: l
	LoD: [[ 0,2,5,7,9,12,22,25,37,42,47,50,53,56,61,65,68, ]]
	data: 1409,1,2390,1867,1,2643,1,1983,1,1198,
1564448972	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,3,8,12,15,23,26,33,38,43,47,53,58,81,86,93,99, ]]
	data: 2765,2393,1,33,64,77,74,1,19,15,
1564448973	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [52,1,]
	dtype: l
	LoD: [[ 0,5,10,14,17,22,25,27,32,35,38,40,42,45,47,50,52, ]]
	data: 883,318,2588,3170,1,740,2709,419,2429,1,
1564448973	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [54,1,]
	dtype: l
	LoD: [[ 0,6,9,11,14,18,21,24,28,30,34,37,40,44,46,51,54, ]]
	data: 55,40,32,45,38,1,18,17,1,1188,
1564448973	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [88,1,]
	dtype: l
	LoD: [[ 0,6,9,12,15,21,26,30,35,41,46,53,58,63,71,83,88, ]]
	data: 17,17,20,16,22,1,17,15,1,24,
1564448973	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [109,1,]
	dtype: l
	LoD: [[ 0,4,11,18,23,30,34,46,53,62,70,82,87,92,100,104,109, ]]
	data: 1593,1650,149,1,3691,1203,0,1922,2650,3023,
1564448973	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [176,1,]
	dtype: l
	LoD: [[ 0,5,9,14,19,24,38,58,80,88,102,115,126,143,154,164,176, ]]
	data: 167,3007,3406,3583,1,1637,883,3695,1,2248,
1564448973	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [135,1,]
	dtype: l
	LoD: [[ 0,9,20,31,55,69,73,79,83,87,91,96,113,119,125,130,135, ]]
	data: 1268,197,304,1520,3209,2696,839,794,1,152,
1564448973	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [88,1,]
	dtype: l
	LoD: [[ 0,10,15,19,27,34,39,45,50,56,59,64,69,73,77,82,88, ]]
	data: 2790,531,235,1149,3726,573,1024,2421,3582,1,
1564448973	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [62,1,]
	dtype: l
	LoD: [[ 0,6,11,16,27,32,35,38,40,44,46,49,51,56,58,60,62, ]]
	data: 44,72,67,68,64,1,1711,671,594,1917,
1564448973	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [77,1,]
	dtype: l
	LoD: [[ 0,3,5,8,11,16,21,32,38,43,47,53,58,63,68,72,77, ]]
	data: 443,2433,1,2452,1,586,735,1,16,18,
1564448973	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [263,1,]
	dtype: l
	LoD: [[ 0,4,12,17,22,26,65,77,89,103,119,135,147,185,221,236,263, ]]
	data: 2997,686,260,1,3024,3034,1738,99,1087,1815,
1564448974	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [95,1,]
	dtype: l
	LoD: [[ 0,17,26,35,50,61,63,66,68,71,74,77,81,86,89,92,95, ]]
	data: 86,86,86,13,73,79,83,68,66,67,
1564448974	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [42,1,]
	dtype: l
	LoD: [[ 0,3,8,10,13,15,17,19,21,23,29,31,33,36,38,40,42, ]]
	data: 2853,3385,1,17,19,1054,1580,1,3578,1,
1564448974	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [56,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,11,15,20,25,30,33,37,40,43,48,53,56, ]]
	data: 2164,1,21,1,47,1,422,1,2319,3848,
1564448974	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [104,1,]
	dtype: l
	LoD: [[ 0,3,7,10,15,22,27,32,38,43,50,55,59,65,81,96,104, ]]
	data: 2201,1260,1,17,617,1794,1,2871,1862,1,
1564448974	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [107,1,]
	dtype: l
	LoD: [[ 0,5,13,20,29,34,40,58,63,67,71,76,83,95,100,104,107, ]]
	data: 1258,780,3806,2209,1,1258,0,908,0,3194,
1564448974	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [72,1,]
	dtype: l
	LoD: [[ 0,4,11,17,22,27,31,34,38,43,46,54,58,61,64,69,72, ]]
	data: 32,52,55,1,51,78,72,75,68,83,
1564448974	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [219,1,]
	dtype: l
	LoD: [[ 0,5,8,15,18,26,42,56,72,89,104,119,152,166,183,207,219, ]]
	data: 789,167,3652,1443,1,3520,883,1,64,67,
1564448974	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [191,1,]
	dtype: l
	LoD: [[ 0,26,37,53,68,95,99,111,117,123,138,145,157,166,171,184,191, ]]
	data: 882,3108,0,3896,3385,3108,2273,0,3205,3773,
1564448974	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [138,1,]
	dtype: l
	LoD: [[ 0,11,36,41,53,68,73,77,82,86,98,102,111,119,125,129,138, ]]
	data: 329,833,2508,538,1281,1524,3480,935,658,283,
1564448974	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [142,1,]
	dtype: l
	LoD: [[ 0,8,20,30,34,39,49,56,63,71,79,86,98,105,117,127,142, ]]
	data: 2523,3729,999,394,3203,2506,2209,1,16,20,
1564448975	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [147,1,]
	dtype: l
	LoD: [[ 0,6,11,19,29,40,56,62,74,78,103,107,113,122,135,142,147, ]]
	data: 2704,2711,408,2319,3793,1,1148,1868,678,3233,
1564448975	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,12,17,26,31,39,42,48,52,54,57,60,62,66,78,80,83, ]]
	data: 1260,132,2027,3762,2514,2365,132,3401,310,3715,
1564448975	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,6,10,13,17,22,27,36,40,45,60,66,70,75,87,94,99, ]]
	data: 177,780,2526,472,1234,1,16,21,18,1,
1564448975	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [90,1,]
	dtype: l
	LoD: [[ 0,5,11,17,20,25,30,36,41,46,51,55,63,75,80,85,90, ]]
	data: 1031,408,1644,503,1,686,2209,1393,1369,1188,
1564448975	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [128,1,]
	dtype: l
	LoD: [[ 0,5,11,15,19,23,29,34,45,51,65,69,77,85,100,113,128, ]]
	data: 3155,2840,2063,3649,1,2270,1010,0,2248,762,
1564448975	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [87,1,]
	dtype: l
	LoD: [[ 0,7,23,31,41,48,53,58,61,64,68,72,75,78,81,84,87, ]]
	data: 3520,3648,386,1054,3777,1747,1,503,2328,3231,
1564448975	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,3,7,10,13,16,23,29,35,41,53,57,61,66,71,78,83, ]]
	data: 17,22,1,78,84,76,1,3896,3385,1,
1564448975	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [88,1,]
	dtype: l
	LoD: [[ 0,5,17,23,27,36,40,43,47,53,56,59,72,76,80,84,88, ]]
	data: 1548,1588,552,299,1,17,15,16,23,1173,
1564448975	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [66,1,]
	dtype: l
	LoD: [[ 0,4,8,11,14,17,21,24,33,37,41,46,48,52,56,62,66, ]]
	data: 57,39,40,1,2140,1927,2114,1,2732,32,
1564448975	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [111,1,]
	dtype: l
	LoD: [[ 0,12,15,19,22,26,32,37,43,49,64,71,78,83,95,103,111, ]]
	data: 34,78,77,75,72,77,68,77,75,64,
1564448975	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [131,1,]
	dtype: l
	LoD: [[ 0,6,13,29,37,45,50,59,64,71,76,87,100,106,114,126,131, ]]
	data: 3492,2391,3284,3324,1148,1,2416,706,2150,3492,
1564448976	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [104,1,]
	dtype: l
	LoD: [[ 0,7,12,17,23,36,41,47,61,68,73,77,83,87,92,97,104, ]]
	data: 547,2950,2658,686,2150,3492,1,1263,1226,1903,
1564448976	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [100,1,]
	dtype: l
	LoD: [[ 0,5,11,29,37,60,63,66,69,72,77,81,86,89,93,97,100, ]]
	data: 838,3209,502,2417,1,386,889,314,2765,3771,
1564448976	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [49,1,]
	dtype: l
	LoD: [[ 0,5,8,11,13,15,18,21,24,27,30,33,36,40,43,46,49, ]]
	data: 17,13,17,76,1,16,19,1,22,16,
1564448976	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [97,1,]
	dtype: l
	LoD: [[ 0,2,5,8,13,18,23,27,38,43,49,64,72,78,85,90,97, ]]
	data: 3491,1,3398,504,1,2765,2393,1,17,15,
1564448976	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [68,1,]
	dtype: l
	LoD: [[ 0,5,9,15,19,24,27,30,35,39,42,46,49,53,60,63,68, ]]
	data: 3751,421,686,2209,1,2390,1087,589,1,39,
1564448976	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [103,1,]
	dtype: l
	LoD: [[ 0,3,6,8,11,16,27,40,45,51,62,70,77,82,89,95,103, ]]
	data: 1054,1150,1,1207,1260,1,1135,1,648,1881,
1564448976	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [76,1,]
	dtype: l
	LoD: [[ 0,5,10,16,23,28,31,33,37,41,46,52,56,60,69,72,76, ]]
	data: 3,3,3,3,1,2493,438,678,3233,1,
1564448976	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,4,8,13,15,18,26,31,36,41,46,56,63,69,74,78,83, ]]
	data: 882,2489,3722,1,1651,2151,3872,1,20,17,
1564448976	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [106,1,]
	dtype: l
	LoD: [[ 0,6,12,18,26,31,37,42,54,61,66,71,77,82,87,99,106, ]]
	data: 617,1742,1693,2640,2643,1,3628,16,23,23,
1564448976	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [75,1,]
	dtype: l
	LoD: [[ 0,6,13,22,27,40,43,46,49,54,57,60,65,68,70,73,75, ]]
	data: 180,1580,500,990,2140,1,3285,3519,1385,1656,
1564448977	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [48,1,]
	dtype: l
	LoD: [[ 0,2,4,7,10,13,15,20,23,26,28,34,39,42,44,46,48, ]]
	data: 3295,1,41,1,558,3712,1,2790,809,1,
1564448977	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [41,1,]
	dtype: l
	LoD: [[ 0,5,7,9,11,13,15,17,20,22,24,27,30,32,36,38,41, ]]
	data: 3722,1676,3791,3775,1,2907,1,1409,1,3914,
1564448977	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [91,1,]
	dtype: l
	LoD: [[ 0,4,6,8,10,13,16,19,22,27,32,43,48,75,79,85,91, ]]
	data: 882,781,874,1,3722,1,2526,1,3520,1,
1564448977	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [214,1,]
	dtype: l
	LoD: [[ 0,7,15,18,22,26,40,54,92,109,118,133,148,169,183,201,214, ]]
	data: 301,2022,1087,622,223,3264,1,19,16,16,
1564448977	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [149,1,]
	dtype: l
	LoD: [[ 0,17,39,54,66,81,93,98,102,108,112,121,126,131,136,144,149, ]]
	data: 905,3773,3777,132,542,3516,3802,2024,1911,132,
1564448977	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [71,1,]
	dtype: l
	LoD: [[ 0,5,10,21,28,40,42,46,49,51,56,58,61,63,66,69,71, ]]
	data: 3241,525,365,3358,1,990,2860,1537,2836,1,
1564448977	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [78,1,]
	dtype: l
	LoD: [[ 0,2,5,10,13,17,23,26,31,34,37,41,54,57,62,74,78, ]]
	data: 2018,1,149,2489,1,1355,1642,2577,1156,1,
1564448977	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [61,1,]
	dtype: l
	LoD: [[ 0,6,9,12,15,20,24,27,30,36,40,44,48,51,55,58,61, ]]
	data: 18,20,12,17,19,1,1024,3229,1,565,
1564448977	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [61,1,]
	dtype: l
	LoD: [[ 0,3,8,11,16,19,22,26,30,34,38,41,45,49,53,57,61, ]]
	data: 451,603,1,17,16,22,23,1,154,1794,
1564448977	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [79,1,]
	dtype: l
	LoD: [[ 0,4,11,15,18,23,28,34,37,42,51,55,58,64,68,74,79, ]]
	data: 3520,1010,3276,1,41,46,50,40,45,56,
1564448977	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,4,7,10,14,18,21,35,40,42,47,55,58,61,70,77,83, ]]
	data: 2677,1042,2454,1,2765,1026,1,223,3520,1,
1564448978	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [96,1,]
	dtype: l
	LoD: [[ 0,6,11,14,17,20,26,29,34,37,41,71,76,79,86,89,96, ]]
	data: 16,21,12,16,17,1,2632,2273,20,1393,
1564448978	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [118,1,]
	dtype: l
	LoD: [[ 0,3,6,9,12,17,27,36,51,57,65,74,82,97,104,110,118, ]]
	data: 717,1725,1,34,47,1,396,2211,1,17,
1564448978	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [102,1,]
	dtype: l
	LoD: [[ 0,7,18,36,45,51,55,59,62,66,73,76,83,86,95,99,102, ]]
	data: 2047,1896,2240,1663,1899,3777,1,38,32,45,
1564448978	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [81,1,]
	dtype: l
	LoD: [[ 0,4,9,13,18,21,24,29,34,37,42,45,53,56,59,69,81, ]]
	data: 56,32,46,1,45,72,66,68,1,49,
1564448978	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [81,1,]
	dtype: l
	LoD: [[ 0,5,9,12,27,33,38,42,46,49,52,57,60,66,69,76,81, ]]
	data: 223,3264,1663,2653,1,1358,1517,3722,1,3329,
1564448978	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [79,1,]
	dtype: l
	LoD: [[ 0,4,15,18,22,30,33,36,41,46,59,62,65,69,73,76,79, ]]
	data: 16,23,15,1,531,884,1172,1180,794,538,
1564448978	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [59,1,]
	dtype: l
	LoD: [[ 0,4,14,18,21,25,29,31,37,42,44,46,48,52,54,57,59, ]]
	data: 2671,547,1268,1,3205,364,0,2787,1561,0,
1564448978	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [61,1,]
	dtype: l
	LoD: [[ 0,4,6,8,11,14,17,22,25,31,36,41,45,49,52,57,61, ]]
	data: 19,17,19,1,1409,1,394,1,177,1260,
1564448978	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [60,1,]
	dtype: l
	LoD: [[ 0,3,6,9,12,15,18,22,25,29,32,37,42,47,53,57,60, ]]
	data: 157,627,1,3647,1881,1,2420,164,1,3736,
1564448978	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [70,1,]
	dtype: l
	LoD: [[ 0,5,10,15,26,32,34,38,41,43,48,52,57,60,63,66,70, ]]
	data: 34,22,21,1753,1,1278,3225,2328,3231,1,
1564448978	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [99,1,]
	dtype: l
	LoD: [[ 0,3,5,8,11,14,27,32,39,48,54,68,76,82,88,93,99, ]]
	data: 1660,2519,1,2299,1,3289,2216,1,17,19,
1564448978	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [143,1,]
	dtype: l
	LoD: [[ 0,6,13,25,32,38,46,51,57,66,79,96,117,123,128,137,143, ]]
	data: 3714,2628,780,990,3793,1,1667,3375,3732,1345,
1564448979	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [65,1,]
	dtype: l
	LoD: [[ 0,4,8,13,18,30,33,36,38,40,43,46,49,54,57,62,65, ]]
	data: 735,879,879,1,2410,2275,552,1,78,79,
1564448979	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [67,1,]
	dtype: l
	LoD: [[ 0,2,6,10,12,14,18,23,26,29,32,37,40,43,49,63,67, ]]
	data: 2126,1,44,46,51,1,2391,934,990,1,
1564448979	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [113,1,]
	dtype: l
	LoD: [[ 0,5,8,16,44,48,55,60,66,71,76,84,88,93,101,106,113, ]]
	data: 152,217,914,1319,1,3722,3793,1,3397,1014,
1564448979	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [90,1,]
	dtype: l
	LoD: [[ 0,18,23,26,31,35,48,50,53,61,64,67,71,76,81,87,90, ]]
	data: 34,78,81,77,68,81,0,34,64,69,
1564448979	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [101,1,]
	dtype: l
	LoD: [[ 0,3,6,8,11,14,20,37,42,47,56,61,69,81,90,96,101, ]]
	data: 193,3445,1,502,1135,1,2153,1,883,3878,
1564448979	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [143,1,]
	dtype: l
	LoD: [[ 0,5,10,15,25,34,43,48,75,83,95,101,110,122,129,136,143, ]]
	data: 357,3154,2727,2727,1,283,1014,3324,1148,1,
1564448979	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [143,1,]
	dtype: l
	LoD: [[ 0,14,21,32,38,43,47,52,69,75,87,92,118,124,134,138,143, ]]
	data: 16,22,22,17,22,24,18,15,24,15,
1564448979	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [53,1,]
	dtype: l
	LoD: [[ 0,5,10,15,22,25,27,30,32,35,37,40,42,45,48,50,53, ]]
	data: 2523,1858,882,3644,1,2526,3802,1054,622,1,
1564448979	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [77,1,]
	dtype: l
	LoD: [[ 0,3,6,8,10,12,17,22,26,31,36,42,48,55,61,65,77, ]]
	data: 1182,552,1,882,3108,1,95,1,47,1,
1564448980	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [102,1,]
	dtype: l
	LoD: [[ 0,12,23,31,38,48,60,63,69,73,76,80,84,89,93,96,102, ]]
	data: 1434,2177,1268,0,17,22,15,15,381,882,
1564448980	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [73,1,]
	dtype: l
	LoD: [[ 0,5,9,14,22,25,27,30,33,39,44,48,51,55,58,63,73, ]]
	data: 1660,882,553,796,1,598,3773,871,1,1482,
1564448980	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [110,1,]
	dtype: l
	LoD: [[ 0,19,23,28,32,36,41,53,58,65,70,75,81,86,101,105,110, ]]
	data: 623,498,1024,2320,717,2320,177,886,2570,3247,
1564448980	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [98,1,]
	dtype: l
	LoD: [[ 0,7,13,19,26,37,42,47,51,55,60,65,70,82,87,92,98, ]]
	data: 1014,690,1524,1507,177,1260,1,1570,3682,2486,
1564448980	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [148,1,]
	dtype: l
	LoD: [[ 0,8,13,18,24,29,36,48,55,70,88,100,108,122,130,140,148, ]]
	data: 17,381,20,381,23,381,3322,1,17,20,
1564448980	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [147,1,]
	dtype: l
	LoD: [[ 0,8,19,26,41,50,65,69,74,81,85,105,118,123,128,133,147, ]]
	data: 1148,1026,2256,854,1644,503,2508,1,2726,346,
1564448980	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [141,1,]
	dtype: l
	LoD: [[ 0,8,13,19,24,30,38,48,55,71,80,92,97,112,120,130,141, ]]
	data: 149,2583,1212,3516,1149,1172,613,1,914,1024,
1564448980	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [174,1,]
	dtype: l
	LoD: [[ 0,16,24,29,36,43,54,69,84,95,104,110,121,131,139,165,174, ]]
	data: 2328,3231,25,16,18,23,17,20,17,20,
1564448980	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [358,1,]
	dtype: l
	LoD: [[ 0,14,58,65,78,89,113,155,181,194,207,223,250,269,300,330,358, ]]
	data: 2898,3148,3358,3647,2414,11,3203,1868,2812,504,
1564448981	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [228,1,]
	dtype: l
	LoD: [[ 0,16,39,69,97,140,145,155,160,167,183,191,198,210,215,223,228, ]]
	data: 3714,1988,323,3582,2508,184,422,2730,624,1644,
1564448981	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [65,1,]
	dtype: l
	LoD: [[ 0,5,17,22,27,35,38,41,43,48,51,54,56,58,61,63,65, ]]
	data: 1942,1560,1436,1865,1,16,20,21,17,24,
1564448981	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [129,1,]
	dtype: l
	LoD: [[ 0,4,6,8,10,12,17,22,29,55,63,68,75,90,96,117,129, ]]
	data: 1013,3623,193,1,1228,1,177,1,654,1,
1564448981	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [122,1,]
	dtype: l
	LoD: [[ 0,7,12,24,31,36,41,48,60,67,76,80,86,94,112,117,122, ]]
	data: 154,671,1644,3170,3372,1555,1,1580,1061,2658,
1564448981	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [192,1,]
	dtype: l
	LoD: [[ 0,10,16,37,49,61,72,90,105,114,128,137,155,161,173,183,192, ]]
	data: 155,1993,3714,1988,1010,3431,1660,1768,573,1,
1564448981	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [156,1,]
	dtype: l
	LoD: [[ 0,17,25,34,60,100,106,111,114,119,123,128,136,139,147,151,156, ]]
	data: 3205,2942,2328,3231,25,16,18,19,21,15,
1564448981	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [84,1,]
	dtype: l
	LoD: [[ 0,4,8,13,17,21,25,32,37,42,46,51,56,60,65,79,84, ]]
	data: 3789,214,191,1,1258,3324,1148,1,1903,3358,
1564448981	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [87,1,]
	dtype: l
	LoD: [[ 0,6,9,14,21,27,32,37,41,49,55,60,68,72,77,81,87, ]]
	data: 43,36,44,46,45,1,1565,3793,1,3241,
1564448981	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [152,1,]
	dtype: l
	LoD: [[ 0,12,24,32,41,46,51,71,83,93,101,113,122,127,134,141,152, ]]
	data: 51,36,43,25,20,21,18,16,16,17,
1564448982	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [120,1,]
	dtype: l
	LoD: [[ 0,8,15,24,35,50,55,58,66,71,75,82,87,101,107,113,120, ]]
	data: 2328,1026,3893,0,643,2803,3893,1,3742,1587,
1564448982	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,5,10,15,19,23,28,33,37,45,51,54,58,63,73,78,83, ]]
	data: 3653,428,596,822,1,1290,735,596,3280,1,
1564448982	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [217,1,]
	dtype: l
	LoD: [[ 0,46,51,57,61,69,79,85,105,122,135,147,161,180,196,205,217, ]]
	data: 50,71,68,77,89,71,68,77,0,55,
1564448982	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [111,1,]
	dtype: l
	LoD: [[ 0,12,24,31,40,53,68,71,74,77,81,84,88,92,99,105,111, ]]
	data: 177,780,2540,1385,3216,1548,2714,3204,2053,1650,
1564448982	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [97,1,]
	dtype: l
	LoD: [[ 0,3,6,8,12,15,20,26,44,50,56,61,72,78,83,92,97, ]]
	data: 422,3295,1,17,37,1,2754,1,2416,1644,
1564448982	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [66,1,]
	dtype: l
	LoD: [[ 0,5,13,18,25,32,34,37,40,43,47,49,52,56,61,63,66, ]]
	data: 2328,2867,539,3668,1,35,40,35,40,33,
1564448982	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [374,1,]
	dtype: l
	LoD: [[ 0,2,5,8,14,17,70,95,128,154,185,239,276,291,305,351,374, ]]
	data: 531,1,2526,2324,1,437,2976,1,2328,3194,
1564448982	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [240,1,]
	dtype: l
	LoD: [[ 0,36,62,94,110,149,171,175,180,184,189,198,207,227,232,235,240, ]]
	data: 23,21,23,22,19,19,0,16,18,18,
1564448982	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [124,1,]
	dtype: l
	LoD: [[ 0,4,9,13,17,32,37,45,53,66,74,84,90,97,102,110,124, ]]
	data: 622,2180,197,1,253,1111,3358,3148,1,2328,
1564448983	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [153,1,]
	dtype: l
	LoD: [[ 0,7,18,27,34,95,99,105,110,114,119,124,133,138,145,149,153, ]]
	data: 3194,3757,2410,1475,538,836,1,34,39,40,
1564448983	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [56,1,]
	dtype: l
	LoD: [[ 0,4,7,18,24,27,29,32,34,36,41,44,46,48,50,52,56, ]]
	data: 57,5,43,1,1773,2415,1,1840,791,3035,
1564448983	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [228,1,]
	dtype: l
	LoD: [[ 0,2,6,8,10,12,44,63,106,121,145,155,172,193,207,213,228, ]]
	data: 2668,1,1667,179,179,1,1409,1,1409,1,
1564448983	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [190,1,]
	dtype: l
	LoD: [[ 0,25,35,81,106,134,137,140,142,144,147,149,153,156,159,187,190, ]]
	data: 1384,1474,25,3492,1188,0,990,1733,0,1960,
1564448983	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [46,1,]
	dtype: l
	LoD: [[ 0,2,4,6,11,13,15,18,20,22,26,28,37,39,41,44,46, ]]
	data: 355,1,300,1,3482,1,539,339,1007,2140,
1564448983	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [41,1,]
	dtype: l
	LoD: [[ 0,3,5,7,9,11,14,16,18,21,24,29,31,34,37,39,41, ]]
	data: 46,45,1,858,1,1687,1,3520,1,1593,
1564448983	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [71,1,]
	dtype: l
	LoD: [[ 0,5,10,12,15,17,21,24,28,31,34,38,52,60,63,67,71, ]]
	data: 3154,99,1024,1075,1,475,1354,2812,3148,1,
1564448983	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [89,1,]
	dtype: l
	LoD: [[ 0,10,14,17,20,23,31,37,40,43,53,65,69,77,80,84,89, ]]
	data: 2328,3231,25,16,23,20,22,16,23,1,
1564448983	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,6,9,16,24,28,31,36,40,43,47,52,56,61,66,78,83, ]]
	data: 35,36,45,51,50,1,963,2685,1,969,
1564448984	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [56,1,]
	dtype: l
	LoD: [[ 0,5,10,14,17,20,25,28,32,35,38,42,44,47,50,53,56, ]]
	data: 2920,913,2546,1183,1,1285,341,1024,344,1,
1564448984	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [90,1,]
	dtype: l
	LoD: [[ 0,2,6,13,16,19,26,31,38,43,48,51,58,64,70,81,90, ]]
	data: 1385,1,18,20,24,1,177,780,2526,472,
1564448984	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [64,1,]
	dtype: l
	LoD: [[ 0,5,10,16,21,33,36,39,42,44,47,50,52,55,57,62,64, ]]
	data: 3,3,3,3,1,197,3027,333,472,1,
1564448984	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [125,1,]
	dtype: l
	LoD: [[ 0,5,7,10,14,17,20,24,31,39,44,67,71,77,102,118,125, ]]
	data: 21,13,23,1393,1,2887,1,1660,1616,1,
1564448984	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [89,1,]
	dtype: l
	LoD: [[ 0,5,10,15,19,24,29,34,40,54,59,65,70,75,80,85,89, ]]
	data: 221,3712,2031,686,1,3265,2401,882,2249,1,
1564448984	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [125,1,]
	dtype: l
	LoD: [[ 0,7,12,17,32,40,65,70,78,81,93,96,101,111,114,119,125, ]]
	data: 35,32,40,42,40,45,1,1843,1889,882,
1564448984	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [212,1,]
	dtype: l
	LoD: [[ 0,5,10,20,27,32,51,61,66,83,104,119,134,150,169,182,212, ]]
	data: 1382,596,1007,364,1,2416,706,2328,2867,1,
1564448984	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [131,1,]
	dtype: l
	LoD: [[ 0,15,46,56,71,88,92,99,102,105,109,112,116,119,122,126,131, ]]
	data: 2790,427,3023,3777,3406,3583,3320,1145,1188,45,
1564448985	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [77,1,]
	dtype: l
	LoD: [[ 0,2,5,8,11,15,21,26,33,39,42,48,53,62,67,72,77, ]]
	data: 49,1,3698,711,1,19,38,1,2765,1026,
1564448985	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [79,1,]
	dtype: l
	LoD: [[ 0,10,14,21,33,41,43,45,47,50,53,67,69,73,75,77,79, ]]
	data: 2393,269,1738,0,2112,3586,2393,664,3445,1,
1564448985	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [145,1,]
	dtype: l
	LoD: [[ 0,2,5,10,12,14,27,34,52,60,75,90,105,115,120,135,145, ]]
	data: 628,1,2328,2312,1,74,84,74,64,1,
1564448985	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [204,1,]
	dtype: l
	LoD: [[ 0,43,67,83,111,119,126,132,138,145,151,157,167,172,184,192,204, ]]
	data: 1205,1669,0,3647,1881,1669,1555,0,1881,2328,
1564448985	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [117,1,]
	dtype: l
	LoD: [[ 0,4,13,19,27,32,49,56,61,71,79,89,95,99,105,112,117, ]]
	data: 3554,3191,3735,1,604,2765,3187,3342,154,149,
1564448985	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [101,1,]
	dtype: l
	LoD: [[ 0,6,13,17,22,27,36,43,54,57,64,69,73,79,83,88,101, ]]
	data: 2526,133,2508,283,185,1,1345,240,3539,2284,
1564448985	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [89,1,]
	dtype: l
	LoD: [[ 0,6,13,20,30,44,48,53,56,60,66,70,75,79,82,85,89, ]]
	data: 132,1729,1561,3766,132,1,1266,1260,2243,2710,
1564448985	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [104,1,]
	dtype: l
	LoD: [[ 0,6,10,13,17,22,29,34,40,45,60,67,75,80,84,95,104, ]]
	data: 237,530,14,596,386,1,882,1469,1715,1,
1564448985	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [180,1,]
	dtype: l
	LoD: [[ 0,7,34,39,44,49,54,62,70,85,97,126,140,145,157,162,180, ]]
	data: 7,3517,779,458,1188,8,1,2328,3231,25,
1564448985	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [103,1,]
	dtype: l
	LoD: [[ 0,18,28,41,56,65,68,71,75,79,83,86,89,92,96,99,103, ]]
	data: 405,500,396,2320,686,510,339,2320,686,304,
1564448986	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [83,1,]
	dtype: l
	LoD: [[ 0,3,8,12,22,28,31,38,42,44,48,64,71,74,76,81,83, ]]
	data: 531,235,1,2282,2053,2031,405,1,2390,221,
1564448986	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [65,1,]
	dtype: l
	LoD: [[ 0,3,5,8,13,18,22,26,29,32,36,41,44,50,54,58,65, ]]
	data: 1011,165,1,1831,1,20,17,1,3329,3445,
1564448986	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [61,1,]
	dtype: l
	LoD: [[ 0,3,14,18,23,26,30,32,36,41,44,46,48,51,55,58,61, ]]
	data: 167,1586,1,34,34,51,53,886,3194,155,
1564448986	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [47,1,]
	dtype: l
	LoD: [[ 0,3,6,8,11,14,17,20,23,25,28,31,34,38,40,43,47, ]]
	data: 2692,2716,1,3324,1148,1,3848,1,157,3587,
1564448986	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [93,1,]
	dtype: l
	LoD: [[ 0,3,6,16,18,22,27,32,39,44,49,54,61,66,75,87,93, ]]
	data: 17,15,1,2071,18,1,34,39,40,45,
1564448986	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [123,1,]
	dtype: l
	LoD: [[ 0,32,39,43,50,72,77,83,86,90,99,103,107,111,118,121,123, ]]
	data: 2218,2922,3500,3831,889,1024,1163,3023,455,485,
1564448986	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [73,1,]
	dtype: l
	LoD: [[ 0,4,7,10,13,18,22,27,33,38,42,46,51,55,61,68,73, ]]
	data: 39,32,35,1,3218,3204,1,178,994,1,
1564448986	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [100,1,]
	dtype: l
	LoD: [[ 0,6,11,16,26,31,40,46,53,58,65,70,78,83,88,93,100, ]]
	data: 88,64,84,67,88,1,2851,547,1992,1897,
1564448986	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [124,1,]
	dtype: l
	LoD: [[ 0,3,13,19,24,28,40,50,55,61,68,79,87,92,101,114,124, ]]
	data: 3023,552,1,23,20,17,21,15,17,17,
1564448986	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [174,1,]
	dtype: l
	LoD: [[ 0,17,24,29,38,65,77,88,103,110,121,128,139,148,155,167,174, ]]
	data: 794,798,25,1179,1132,1148,1993,2270,538,1561,
1564448986	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [76,1,]
	dtype: l
	LoD: [[ 0,9,18,31,37,42,47,49,51,54,56,58,65,67,70,73,76, ]]
	data: 3816,3812,658,3301,1738,3220,500,2275,1,2671,
1564448987	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [43,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,10,12,15,17,21,23,25,28,33,38,41,43, ]]
	data: 1881,1,50,1,2327,1,2765,1,1685,1,
1564448987	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [147,1,]
	dtype: l
	LoD: [[ 0,4,6,8,11,15,27,36,43,65,76,89,111,121,126,131,147, ]]
	data: 53,40,45,1,2526,1,1960,1,3698,711,
1564448987	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [116,1,]
	dtype: l
	LoD: [[ 0,11,16,34,47,63,67,72,76,79,85,93,96,100,104,110,116, ]]
	data: 1256,2310,2691,2628,2691,2411,502,1135,1135,573,
1564448987	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [62,1,]
	dtype: l
	LoD: [[ 0,5,12,18,21,28,31,34,39,42,45,47,51,54,57,59,62, ]]
	data: 177,1720,3358,3148,1,396,999,1054,1188,458,
1564448987	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [62,1,]
	dtype: l
	LoD: [[ 0,2,5,8,11,13,19,23,27,32,36,40,48,51,55,59,62, ]]
	data: 498,1,1738,498,1,17,15,1,22,19,
1564448987	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [118,1,]
	dtype: l
	LoD: [[ 0,5,10,14,18,31,38,42,46,51,55,58,90,98,108,113,118, ]]
	data: 7,629,3619,8,1,1561,1868,2508,538,1,
1564448987	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [71,1,]
	dtype: l
	LoD: [[ 0,5,10,26,44,47,50,52,54,56,58,60,62,64,66,69,71, ]]
	data: 1882,190,2871,1862,1,2583,877,16,617,1,
1564448987	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [79,1,]
	dtype: l
	LoD: [[ 0,2,4,9,11,13,19,24,34,39,51,56,61,64,71,76,79, ]]
	data: 2526,1,2328,1,451,393,1172,999,1,1409,
1564448987	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [332,1,]
	dtype: l
	LoD: [[ 0,3,7,10,14,18,42,64,95,104,152,183,236,251,275,319,332, ]]
	data: 1149,3148,1,2561,3802,1670,1,154,2117,1,
1564448987	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [167,1,]
	dtype: l
	LoD: [[ 0,61,80,97,116,145,147,149,151,153,155,157,159,161,163,165,167, ]]
	data: 2328,3231,25,16,18,20,16,20,23,17,
1564448988	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [42,1,]
	dtype: l
	LoD: [[ 0,2,4,6,8,11,14,17,20,22,24,26,29,33,37,39,42, ]]
	data: 95,1,2027,1,1004,1,464,1,1159,1694,
1564448988	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [45,1,]
	dtype: l
	LoD: [[ 0,3,5,10,12,15,18,22,26,29,31,34,36,38,41,43,45, ]]
	data: 1561,2343,1,3229,1,547,2004,2949,1694,1,
1564448988	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [41,1,]
	dtype: l
	LoD: [[ 0,3,6,9,12,14,16,18,20,23,25,28,30,32,36,39,41, ]]
	data: 446,232,1,34,45,1,1474,2526,1,671,
1564448988	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [59,1,]
	dtype: l
	LoD: [[ 0,3,5,7,9,11,16,20,23,27,34,37,43,48,53,56,59, ]]
	data: 2551,504,1,405,1,2293,1,3722,1,155,
1564448988	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [145,1,]
	dtype: l
	LoD: [[ 0,2,6,9,11,14,29,41,51,64,77,85,107,117,126,136,145, ]]
	data: 2942,1,286,2429,25,1,2960,3236,1,610,
1564448988	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [72,1,]
	dtype: l
	LoD: [[ 0,15,24,33,42,47,50,52,54,56,58,61,63,65,67,70,72, ]]
	data: 51,39,36,0,38,46,43,35,36,45,
1564448988	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [192,1,]
	dtype: l
	LoD: [[ 0,2,7,11,13,16,51,72,82,89,119,127,138,151,177,185,192, ]]
	data: 2643,1,1256,717,240,1024,1,17,19,71,
1564448988	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [176,1,]
	dtype: l
	LoD: [[ 0,12,19,28,41,48,60,67,77,86,104,116,129,136,151,162,176, ]]
	data: 794,798,25,3745,531,167,3342,20,21,20,
1564448988	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [163,1,]
	dtype: l
	LoD: [[ 0,12,21,26,43,64,70,81,86,104,116,128,134,145,150,156,163, ]]
	data: 34,39,49,49,44,40,45,38,50,39,
1564448989	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [209,1,]
	dtype: l
	LoD: [[ 0,5,9,15,30,37,56,66,75,92,127,137,169,177,192,197,209, ]]
	data: 840,882,2997,1354,1,2256,2273,2209,1,2273,
1564448989	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [166,1,]
	dtype: l
	LoD: [[ 0,17,25,40,57,67,74,80,85,90,108,113,125,136,153,161,166, ]]
	data: 160,165,1188,0,0,45,46,25,16,19,
1564448989	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [137,1,]
	dtype: l
	LoD: [[ 0,9,21,33,42,57,62,66,70,75,79,116,120,124,128,132,137, ]]
	data: 623,2539,3358,905,0,553,1772,2942,1,2328,
1564448989	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [89,1,]
	dtype: l
	LoD: [[ 0,12,18,23,29,33,36,42,46,51,55,58,62,67,70,85,89, ]]
	data: 3187,999,2391,934,1024,1530,396,618,3056,833,
1564448989	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [74,1,]
	dtype: l
	LoD: [[ 0,3,6,9,15,19,22,33,37,43,47,50,59,63,66,69,74, ]]
	data: 251,372,1,48,52,1,966,2765,1,678,
1564448989	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [53,1,]
	dtype: l
	LoD: [[ 0,4,10,14,20,24,26,28,30,33,38,40,42,44,46,51,53, ]]
	data: 16,16,21,1,2328,717,2328,498,1188,1,
1564448989	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [44,1,]
	dtype: l
	LoD: [[ 0,4,6,10,12,17,19,21,23,25,28,31,33,35,37,40,44, ]]
	data: 18,19,617,1,2526,1,3882,1759,1054,1,
1564448989	label_out	The place is:CUDAPlace(0)
Tensor[cast_1.tmp_0]
	shape: [78,1,]
	dtype: l
	LoD: [[ 0,2,4,7,10,12,14,16,20,24,29,33,38,41,44,47,78, ]]
	data: 3699,1,1,1,177,400,1,437,3722,1,
Traceback (most recent call last):
  File "./example/train.py", line 222, in <module>
    main()
  File "./example/train.py", line 218, in main
    train(args)
  File "./example/train.py", line 151, in train
    results = train_one_batch(data)
  File "./example/train.py", line 112, in train_one_batch
    fetch_list=fetch_vars)
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/executor.py", line 650, in run
    use_program_cache=use_program_cache)
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/executor.py", line 748, in _run
    exe.run(program.desc, scope, 0, True, True, fetch_var_name)
paddle.fluid.core_avx.EnforceNotMet: Invoke operator edit_distance error.
Python Callstacks: 
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/framework.py", line 1748, in append_op
    attrs=kwargs.get("attrs", None))
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/layer_helper.py", line 43, in append_op
    return self.main_program.current_block().append_op(*args,**kwargs)
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/layers/nn.py", line 5392, in edit_distance
    attrs={"normalized": normalized})
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/evaluator.py", line 261, in __init__
    input=input, label=label, ignored_tokens=ignored_tokens)
  File "/home/aistudio/example/attention_model.py", line 190, in attention_train_net
    input=maxid, label=label_out, ignored_tokens=[sos, eos])
  File "./example/train.py", line 61, in train
    args, data_shape, num_classes)
  File "./example/train.py", line 218, in main
    train(args)
  File "./example/train.py", line 222, in <module>
    main()
C++ Callstacks: 
Reference string 2 is empty. at [/paddle/paddle/fluid/operators/edit_distance_op.cu:92]
PaddlePaddle Call Stacks: 
0       0x7f64f9db82e0p void paddle::platform::EnforceNotMet::Init<char const*>(char const*, char const*, int) + 352
1       0x7f64f9db8659p paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int) + 137
2       0x7f64fa243afap paddle::operators::EditDistanceGPUKernel<paddle::platform::CUDAPlace, float>::Compute(paddle::framework::ExecutionContext const&) const + 4938
3       0x7f64fa243f23p std::_Function_handler<void (paddle::framework::ExecutionContext const&), paddle::framework::OpKernelRegistrarFunctor<paddle::platform::CUDAPlace, false, 0ul, paddle::operators::EditDistanceGPUKernel<paddle::platform::CUDAPlace, float> >::operator()(char const*, char const*, int) const::{lambda(paddle::framework::ExecutionContext const&)#1}>::_M_invoke(std::_Any_data const&, paddle::framework::ExecutionContext const&) + 35
4       0x7f64fbd13657p paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace, paddle::platform::CUDAPinnedPlace, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> const&, paddle::framework::RuntimeContext*) const + 375
5       0x7f64fbd13a31p paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace, paddle::platform::CUDAPinnedPlace, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> const&) const + 529
6       0x7f64fbd1102cp paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace, paddle::platform::CUDAPinnedPlace, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> const&) + 332
7       0x7f64f9f4247ep paddle::framework::Executor::RunPreparedContext(paddle::framework::ExecutorPrepareContext*, paddle::framework::Scope*, bool, bool, bool) + 382
8       0x7f64f9f4551fp paddle::framework::Executor::Run(paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool, std::vector<std::string, std::allocator<std::string> > const&, bool) + 143
9       0x7f64f9da996dp
10      0x7f64f9deaca6p
11      0x7f655e806199p PyCFunction_Call + 233
12      0x7f655e8a13f9p PyEval_EvalFrameEx + 33545
13      0x7f655e8a34b6p
14      0x7f655e8a05b5p PyEval_EvalFrameEx + 29893
15      0x7f655e8a34b6p
16      0x7f655e8a05b5p PyEval_EvalFrameEx + 29893
17      0x7f655e8a34b6p
18      0x7f655e8a05b5p PyEval_EvalFrameEx + 29893
19      0x7f655e8a34b6p
20      0x7f655e8a05b5p PyEval_EvalFrameEx + 29893
21      0x7f655e8a11d0p PyEval_EvalFrameEx + 32992
22      0x7f655e8a34b6p
23      0x7f655e8a35a8p PyEval_EvalCodeEx + 72
24      0x7f655e8a35ebp PyEval_EvalCode + 59
25      0x7f655e8d3a02p PyRun_FileExFlags + 178
26      0x7f655e8d3b67p PyRun_SimpleFileExFlags + 231
27      0x7f655e8f0d2cp Py_Main + 3676
28            0x400b54p main + 356
29      0x7f655d864830p __libc_start_main + 240
30            0x400c01p

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