ssh://holecem@office.rossum.ai:12022/home/holecem/virt_env_for_pycharm36/bin/python -u /home/holecem/.pycharm_helpers/pydev/pydevd.py --multiproc --qt-support=auto --client 0.0.0.0 --port 40895 --file /home/holecem/tmp/pycharm_project_602/xtools/experiments_reuse.py
pydev debugger: process 21891 is connecting

Connected to pydev debugger (build 182.4323.49)
Using TensorFlow backend.
2019-11-15 21:00:49.964375: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-11-15 21:00:50.223965: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x52049f0 executing computations on platform CUDA. Devices:
2019-11-15 21:00:50.224026: I tensorflow/compiler/xla/service/service.cc:158]   StreamExecutor device (0): GeForce GTX 1080 Ti, Compute Capability 6.1
2019-11-15 21:00:50.229772: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2199800000 Hz
2019-11-15 21:00:50.233995: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x535d310 executing computations on platform Host. Devices:
2019-11-15 21:00:50.234043: I tensorflow/compiler/xla/service/service.cc:158]   StreamExecutor device (0): <undefined>, <undefined>
2019-11-15 21:00:50.234422: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.582
pciBusID: 0000:84:00.0
totalMemory: 10.92GiB freeMemory: 194.56MiB
2019-11-15 21:00:50.234477: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0
2019-11-15 21:00:50.239991: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-11-15 21:00:50.240028: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990]      0
2019-11-15 21:00:50.240050: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0:   N
2019-11-15 21:00:50.240352: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 194 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:84:00.0, compute capability: 6.1)
Querying index...
100%|██████████████████████████████████████| 1000/1000 [00:01<00:00, 765.69it/s]
Index of 1337 items of byte size: 348616
(112 pages dropped due to no content)
Index computed
WARNING:tensorflow:From /home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py:429: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version.
Instructions for updating:
tf.py_func is deprecated in TF V2. Instead, use
    tf.py_function, which takes a python function which manipulates tf eager
    tensors instead of numpy arrays. It's easy to convert a tf eager tensor to
    an ndarray (just call tensor.numpy()) but having access to eager tensors
    means `tf.py_function`s can use accelerators such as GPUs as well as
    being differentiable using a gradient tape.

wb-text-features : (390, 176)
wb-text-onehot : (390, 40, 53)
wb-bbox : (390, 4)
wb-poso : (390, 4)
nearest-wb-text-features : (58, 176)
nearest-wb-text-onehot : (58, 40, 53)
nearest-wb-bbox : (58, 4)
nearest-wb-poso : (58, 4)
nearest-reuse-ids : (3,)
(390, 3)
(390, 3)
wb-text-features : (90, 176)
wb-text-onehot : (90, 40, 53)
wb-bbox : (90, 4)
wb-poso : (90, 4)
nearest-wb-text-features : (68, 176)
nearest-wb-text-onehot : (68, 40, 53)
nearest-wb-bbox : (68, 4)
nearest-wb-poso : (68, 4)
nearest-reuse-ids : (19,)
(90, 19)
(90, 19)
wb-text-features : (34, 176)
wb-text-onehot : (34, 40, 53)
wb-bbox : (34, 4)
wb-poso : (34, 4)
nearest-wb-text-features : (68, 176)
nearest-wb-text-onehot : (68, 40, 53)
nearest-wb-bbox : (68, 4)
nearest-wb-poso : (68, 4)
nearest-reuse-ids : (19,)
(34, 19)
(34, 19)
wb-text-features : (157, 176)
wb-text-onehot : (157, 40, 53)
wb-bbox : (157, 4)
wb-poso : (157, 4)
nearest-wb-text-features : (68, 176)
nearest-wb-text-onehot : (68, 40, 53)
nearest-wb-bbox : (68, 4)
nearest-wb-poso : (68, 4)
nearest-reuse-ids : (19,)
(157, 19)
(157, 19)
wb-text-features : (66, 176)
wb-text-onehot : (66, 40, 53)
wb-bbox : (66, 4)
wb-poso : (66, 4)
nearest-wb-text-features : (94, 176)
nearest-wb-text-onehot : (94, 40, 53)
nearest-wb-bbox : (94, 4)
nearest-wb-poso : (94, 4)
nearest-reuse-ids : (27,)
(66, 27)
(66, 27)
wb-text-features : (174, 176)
wb-text-onehot : (174, 40, 53)
wb-bbox : (174, 4)
wb-poso : (174, 4)
nearest-wb-text-features : (94, 176)
nearest-wb-text-onehot : (94, 40, 53)
nearest-wb-bbox : (94, 4)
nearest-wb-poso : (94, 4)
nearest-reuse-ids : (27,)
(174, 27)
(174, 27)
wb-text-features : (87, 176)
wb-text-onehot : (87, 40, 53)
wb-bbox : (87, 4)
wb-poso : (87, 4)
nearest-wb-text-features : (68, 176)
nearest-wb-text-onehot : (68, 40, 53)
nearest-wb-bbox : (68, 4)
nearest-wb-poso : (68, 4)
nearest-reuse-ids : (19,)
(87, 19)
(87, 19)
wb-text-features : (90, 176)
wb-text-onehot : (90, 40, 53)
wb-bbox : (90, 4)
wb-poso : (90, 4)
nearest-wb-text-features : (68, 176)
nearest-wb-text-onehot : (68, 40, 53)
nearest-wb-bbox : (68, 4)
nearest-wb-poso : (68, 4)
nearest-reuse-ids : (19,)
(90, 19)
(90, 19)
wb-text-features : (122, 176)
wb-text-onehot : (122, 40, 53)
wb-bbox : (122, 4)
wb-poso : (122, 4)
nearest-wb-text-features : (350, 176)
nearest-wb-text-onehot : (350, 40, 53)
nearest-wb-bbox : (350, 4)
nearest-wb-poso : (350, 4)
nearest-reuse-ids : (68,)
(122, 68)
(122, 68)
wb-text-features : (148, 176)
wb-text-onehot : (148, 40, 53)
wb-bbox : (148, 4)
wb-poso : (148, 4)
nearest-wb-text-features : (74, 176)
nearest-wb-text-onehot : (74, 40, 53)
nearest-wb-bbox : (74, 4)
nearest-wb-poso : (74, 4)
nearest-reuse-ids : (16,)
(148, 16)
(148, 16)
wb-text-features : (165, 176)
wb-text-onehot : (165, 40, 53)
wb-bbox : (165, 4)
wb-poso : (165, 4)
nearest-wb-text-features : (350, 176)
nearest-wb-text-onehot : (350, 40, 53)
nearest-wb-bbox : (350, 4)
nearest-wb-poso : (350, 4)
nearest-reuse-ids : (68,)
(165, 68)
(165, 68)
wb-text-features : (88, 176)
wb-text-onehot : (88, 40, 53)
wb-bbox : (88, 4)
wb-poso : (88, 4)
nearest-wb-text-features : (350, 176)
nearest-wb-text-onehot : (350, 40, 53)
nearest-wb-bbox : (350, 4)
nearest-wb-poso : (350, 4)
nearest-reuse-ids : (68,)
(88, 68)
(88, 68)
wb-text-features : (114, 176)
wb-text-onehot : (114, 40, 53)
wb-bbox : (114, 4)
wb-poso : (114, 4)
nearest-wb-text-features : (36, 176)
nearest-wb-text-onehot : (36, 40, 53)
nearest-wb-bbox : (36, 4)
nearest-wb-poso : (36, 4)
nearest-reuse-ids : (17,)
(114, 17)
(114, 17)
wb-text-features : (66, 176)
wb-text-onehot : (66, 40, 53)
wb-bbox : (66, 4)
wb-poso : (66, 4)
nearest-wb-text-features : (350, 176)
nearest-wb-text-onehot : (350, 40, 53)
nearest-wb-bbox : (350, 4)
nearest-wb-poso : (350, 4)
nearest-reuse-ids : (68,)
(66, 68)
(66, 68)
wb-text-features : (159, 176)
wb-text-onehot : (159, 40, 53)
wb-bbox : (159, 4)
wb-poso : (159, 4)
nearest-wb-text-features : (350, 176)
nearest-wb-text-onehot : (350, 40, 53)
nearest-wb-bbox : (350, 4)
nearest-wb-poso : (350, 4)
nearest-reuse-ids : (68,)
(159, 68)
(159, 68)
wb-text-features : (67, 176)
wb-text-onehot : (67, 40, 53)
wb-bbox : (67, 4)
wb-poso : (67, 4)
nearest-wb-text-features : (350, 176)
nearest-wb-text-onehot : (350, 40, 53)
nearest-wb-bbox : (350, 4)
nearest-wb-poso : (350, 4)
nearest-reuse-ids : (68,)
(67, 68)
(67, 68)

WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:
  * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
  * https://github.com/tensorflow/addons
If you depend on functionality not listed there, please file an issue.

WARNING:tensorflow:From /home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
wb-text-features : (390, 176)
wb-text-onehot : (390, 40, 53)
wb-bbox : (390, 4)
wb-poso : (390, 4)
nearest-wb-text-features : (416, 176)
nearest-wb-text-onehot : (416, 40, 53)
nearest-wb-bbox : (416, 4)
nearest-wb-poso : (416, 4)
nearest-reuse-ids : (65,)
(390, 65)
(390, 65)
WARNING:tensorflow:From /home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
wb-text-features : (90, 176)
wb-text-onehot : (90, 40, 53)
wb-bbox : (90, 4)
wb-poso : (90, 4)
nearest-wb-text-features : (156, 176)
nearest-wb-text-onehot : (156, 40, 53)
nearest-wb-bbox : (156, 4)
nearest-wb-poso : (156, 4)
nearest-reuse-ids : (76,)
(90, 76)
(90, 76)
wb-text-features : (34, 176)
wb-text-onehot : (34, 40, 53)
wb-bbox : (34, 4)
wb-poso : (34, 4)
nearest-wb-text-features : (85, 176)
nearest-wb-text-onehot : (85, 40, 53)
nearest-wb-bbox : (85, 4)
nearest-wb-poso : (85, 4)
nearest-reuse-ids : (30,)
(34, 30)
(34, 30)
wb-text-features : (157, 176)
wb-text-onehot : (157, 40, 53)
wb-bbox : (157, 4)
wb-poso : (157, 4)
nearest-wb-text-features : (213, 176)
nearest-wb-text-onehot : (213, 40, 53)
nearest-wb-bbox : (213, 4)
nearest-wb-poso : (213, 4)
nearest-reuse-ids : (30,)
(157, 30)
(157, 30)
wb-text-features : (66, 176)
wb-text-onehot : (66, 40, 53)
wb-bbox : (66, 4)
wb-poso : (66, 4)
nearest-wb-text-features : (156, 176)
nearest-wb-text-onehot : (156, 40, 53)
nearest-wb-bbox : (156, 4)
nearest-wb-poso : (156, 4)
nearest-reuse-ids : (76,)
(66, 76)
(66, 76)
wb-text-features : (174, 176)
wb-text-onehot : (174, 40, 53)
wb-bbox : (174, 4)
wb-poso : (174, 4)
nearest-wb-text-features : (213, 176)
nearest-wb-text-onehot : (213, 40, 53)
nearest-wb-bbox : (213, 4)
nearest-wb-poso : (213, 4)
nearest-reuse-ids : (30,)
(174, 30)
(174, 30)
WARNING:tensorflow:From /home/holecem/tmp/pycharm_project_602/xtools/experiments_reuse.py:130: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
WARNING:tensorflow:From /home/holecem/tmp/pycharm_project_602/xtools/experiments_reuse.py:131: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
wb-text-features : (87, 176)
wb-text-onehot : (87, 40, 53)
wb-bbox : (87, 4)
wb-poso : (87, 4)
nearest-wb-text-features : (346, 176)
nearest-wb-text-onehot : (346, 40, 53)
nearest-wb-bbox : (346, 4)
nearest-wb-poso : (346, 4)
nearest-reuse-ids : (290,)
(87, 290)
(87, 290)
wb-text-features : (90, 176)
wb-text-onehot : (90, 40, 53)
wb-bbox : (90, 4)
wb-poso : (90, 4)
nearest-wb-text-features : (346, 176)
nearest-wb-text-onehot : (346, 40, 53)
nearest-wb-bbox : (346, 4)
nearest-wb-poso : (346, 4)
nearest-reuse-ids : (290,)
(90, 290)
(90, 290)
wb-text-features : (122, 176)
wb-text-onehot : (122, 40, 53)
wb-bbox : (122, 4)
wb-poso : (122, 4)
nearest-wb-text-features : (85, 176)
nearest-wb-text-onehot : (85, 40, 53)
nearest-wb-bbox : (85, 4)
nearest-wb-poso : (85, 4)
nearest-reuse-ids : (30,)
(122, 30)
(122, 30)
__________________________________________________________________________________________________
Layer (type)                    Output Shape         Param #     Connected to
==================================================================================================
nearest-wb-text-onehot (InputLa (None, None, None, 4 0
__________________________________________________________________________________________________
wb-text-onehot (InputLayer)     (None, None, None, 4 0
__________________________________________________________________________________________________
conv2d_3 (Conv2D)               (None, None, None, 5 6050        nearest-wb-text-onehot[0][0]
__________________________________________________________________________________________________
conv2d_1 (Conv2D)               (None, None, None, 5 6050        wb-text-onehot[0][0]
__________________________________________________________________________________________________
nearest-wb-poso (InputLayer)    (None, None, 4)      0
__________________________________________________________________________________________________
nearest-wb-bbox (InputLayer)    (None, None, 4)      0
__________________________________________________________________________________________________
conv2d_4 (Conv2D)               (None, None, None, 5 7550        conv2d_3[0][0]
__________________________________________________________________________________________________
wb-poso (InputLayer)            (None, None, 4)      0
__________________________________________________________________________________________________
wb-bbox (InputLayer)            (None, None, 4)      0
__________________________________________________________________________________________________
conv2d_2 (Conv2D)               (None, None, None, 5 7550        conv2d_1[0][0]
__________________________________________________________________________________________________
sin_cos_positional_embedding_3  (None, None, 48)     0           nearest-wb-poso[0][0]
__________________________________________________________________________________________________
sin_cos_positional_embedding_4  (None, None, 48)     0           nearest-wb-bbox[0][0]
__________________________________________________________________________________________________
nearest-wb-text-features (Input (None, None, 176)    0
__________________________________________________________________________________________________
lambda_2 (Lambda)               [(None, None, 50), ( 0           conv2d_4[0][0]
__________________________________________________________________________________________________
sin_cos_positional_embedding_1  (None, None, 48)     0           wb-poso[0][0]
__________________________________________________________________________________________________
sin_cos_positional_embedding_2  (None, None, 48)     0           wb-bbox[0][0]
__________________________________________________________________________________________________
wb-text-features (InputLayer)   (None, None, 176)    0
__________________________________________________________________________________________________
lambda_1 (Lambda)               [(None, None, 50), ( 0           conv2d_2[0][0]
__________________________________________________________________________________________________
concatenate_2 (Concatenate)     (None, None, 372)    0           sin_cos_positional_embedding_3[0]
                                                                 sin_cos_positional_embedding_4[0]
                                                                 nearest-wb-text-features[0][0]
                                                                 lambda_2[0][0]
                                                                 lambda_2[0][1]
__________________________________________________________________________________________________
concatenate_1 (Concatenate)     (None, None, 372)    0           sin_cos_positional_embedding_1[0]
                                                                 sin_cos_positional_embedding_2[0]
                                                                 wb-text-features[0][0]
                                                                 lambda_1[0][0]
                                                                 lambda_1[0][1]
__________________________________________________________________________________________________
dense_2 (Dense)                 (None, None, 256)    95488       concatenate_2[0][0]
__________________________________________________________________________________________________
dense_1 (Dense)                 (None, None, 256)    95488       concatenate_1[0][0]
__________________________________________________________________________________________________
dropout_2 (Dropout)             (None, None, 256)    0           dense_2[0][0]
__________________________________________________________________________________________________
dropout_1 (Dropout)             (None, None, 256)    0           dense_1[0][0]
__________________________________________________________________________________________________
conv1d_2 (Conv1D)               (None, None, 128)    163968      dropout_2[0][0]
__________________________________________________________________________________________________
nearest-reuse-ids (InputLayer)  (None, None)         0
__________________________________________________________________________________________________
conv1d_1 (Conv1D)               (None, None, 128)    163968      dropout_1[0][0]
__________________________________________________________________________________________________
gather_from_indices_1 (GatherFr (None, None, 128)    0           conv1d_2[0][0]
                                                                 nearest-reuse-ids[0][0]
__________________________________________________________________________________________________
lambda_3 (Lambda)               [(None, None, None,  0           conv1d_1[0][0]
                                                                 gather_from_indices_1[0][0]
__________________________________________________________________________________________________
concatenate_3 (Concatenate)     (None, None, None, 2 0           lambda_3[0][0]
                                                                 lambda_3[0][1]
__________________________________________________________________________________________________
dense_3 (Dense)                 (None, None, None, 8 2056        concatenate_3[0][0]
__________________________________________________________________________________________________
dense_4 (Dense)                 (None, None, None, 1 9           dense_3[0][0]
__________________________________________________________________________________________________
lambda_4 (Lambda)               (None, None, None)   0           dense_4[0][0]
==================================================================================================
Total params: 548,177
Trainable params: 548,177
Non-trainable params: 0
__________________________________________________________________________________________________
wb-text-features : (148, 176)
wb-text-onehot : (148, 40, 53)
wb-bbox : (148, 4)
wb-poso : (148, 4)
nearest-wb-text-features : (252, 176)
nearest-wb-text-onehot : (252, 40, 53)
nearest-wb-bbox : (252, 4)
nearest-wb-poso : (252, 4)
nearest-reuse-ids : (139,)
(148, 139)
(148, 139)
wb-text-features : (165, 176)
wb-text-onehot : (165, 40, 53)
wb-bbox : (165, 4)
wb-poso : (165, 4)
nearest-wb-text-features : (346, 176)
nearest-wb-text-onehot : (346, 40, 53)
nearest-wb-bbox : (346, 4)
nearest-wb-poso : (346, 4)
nearest-reuse-ids : (290,)
(165, 290)
(165, 290)
wb-text-features : (88, 176)
wb-text-onehot : (88, 40, 53)
wb-bbox : (88, 4)
wb-poso : (88, 4)
nearest-wb-text-features : (56, 176)
nearest-wb-text-onehot : (56, 40, 53)
nearest-wb-bbox : (56, 4)
nearest-wb-poso : (56, 4)
nearest-reuse-ids : (25,)
(88, 25)
(88, 25)
wb-text-features : (114, 176)
wb-text-onehot : (114, 40, 53)
wb-bbox : (114, 4)
wb-poso : (114, 4)
nearest-wb-text-features : (346, 176)
nearest-wb-text-onehot : (346, 40, 53)
nearest-wb-bbox : (346, 4)
nearest-wb-poso : (346, 4)
nearest-reuse-ids : (290,)
(114, 290)
(114, 290)
wb-text-features : (66, 176)
wb-text-onehot : (66, 40, 53)
wb-bbox : (66, 4)
wb-poso : (66, 4)
nearest-wb-text-features : (56, 176)
nearest-wb-text-onehot : (56, 40, 53)
nearest-wb-bbox : (56, 4)
nearest-wb-poso : (56, 4)
nearest-reuse-ids : (25,)
(66, 25)
(66, 25)
wb-text-features : (159, 176)
wb-text-onehot : (159, 40, 53)
wb-bbox : (159, 4)
wb-poso : (159, 4)
nearest-wb-text-features : (210, 176)
nearest-wb-text-onehot : (210, 40, 53)
nearest-wb-bbox : (210, 4)
nearest-wb-poso : (210, 4)
nearest-reuse-ids : (166,)
(159, 166)
(159, 166)
wb-text-features : (67, 176)
wb-text-onehot : (67, 40, 53)
wb-bbox : (67, 4)
wb-poso : (67, 4)
nearest-wb-text-features : (331, 176)
nearest-wb-text-onehot : (331, 40, 53)
nearest-wb-bbox : (331, 4)
nearest-wb-poso : (331, 4)
nearest-reuse-ids : (58,)
(67, 58)
(67, 58)
WARNING:tensorflow:From /home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:102: div (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Deprecated in favor of operator or tf.math.divide.
Epoch 1/100
wb-text-features : (65, 176)
wb-text-onehot : (65, 40, 53)
wb-bbox : (65, 4)
wb-poso : (65, 4)
nearest-wb-text-features : (94, 176)
nearest-wb-text-onehot : (94, 40, 53)
nearest-wb-bbox : (94, 4)
nearest-wb-poso : (94, 4)
nearest-reuse-ids : (27,)
(65, 27)
(65, 27)
wb-text-features : (75, 176)
wb-text-onehot : (75, 40, 53)
wb-bbox : (75, 4)
wb-poso : (75, 4)
nearest-wb-text-features : (83, 176)
nearest-wb-text-onehot : (83, 40, 53)
nearest-wb-bbox : (83, 4)
nearest-wb-poso : (83, 4)
nearest-reuse-ids : (12,)
(75, 12)
(75, 12)
Traceback (most recent call last):
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1334, in _do_call
    return fn(*args)
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1319, in _run_fn
    options, feed_dict, fetch_list, target_list, run_metadata)
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1407, in _call_tf_sessionrun
wb-text-features : (142, 176)
    run_metadata)
tensorflow.python.framework.errors_impl.DataLossError: Attempted to pad to a smaller size than the input element.
	 [[{{node IteratorGetNext}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/holecem/.pycharm_helpers/pydev/pydevd.py", line 1664, in <module>
    main()
  File "/home/holecem/.pycharm_helpers/pydev/pydevd.py", line 1658, in main
wb-text-features : (163, 176)
    globals = debugger.run(setup['file'], None, None, is_module)
  File "/home/holecem/.pycharm_helpers/pydev/pydevd.py", line 1068, in run
wb-text-onehot : (142, 40, 53)
wb-bbox : (142, 4)
wb-poso : (142, 4)
    pydev_imports.execfile(file, globals, locals)  # execute the script
  File "/home/holecem/.pycharm_helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
    exec(compile(contents+"\n", file, 'exec'), glob, loc)
  File "/home/holecem/tmp/pycharm_project_602/xtools/experiments_reuse.py", line 332, in <module>
    limit=1000, # debug parameter
  File "/home/holecem/tmp/pycharm_project_602/xtools/experiments_reuse.py", line 312, in run_keras_rendered_experiment_binary
nearest-wb-text-features : (63, 176)
    use_multiprocessing=False
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 91, in wrapper
nearest-wb-text-onehot : (63, 40, 53)
nearest-wb-bbox : (63, 4)
nearest-wb-poso : (63, 4)
nearest-reuse-ids : (5,)
(142, 5)
(142, 5)
    return func(*args, **kwargs)
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/keras/engine/training.py", line 1418, in fit_generator
wb-text-onehot : (163, 40, 53)
wb-bbox : (163, 4)
wb-poso : (163, 4)
    initial_epoch=initial_epoch)
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/keras/engine/training_generator.py", line 181, in fit_generator
    generator_output = next(output_generator)
  File "/home/holecem/tmp/pycharm_project_602/xtools/sqlite_experiment_generator.py", line 368, in tf_dataset_as_iterator
    ret = sess.run(iternext)
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 929, in run
nearest-wb-text-features : (63, 176)
nearest-wb-text-onehot : (63, 40, 53)
nearest-wb-bbox : (63, 4)
nearest-wb-poso : (63, 4)
nearest-reuse-ids : (5,)
(163, 5)
(163, 5)
    run_metadata_ptr)
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1152, in _run
    feed_dict_tensor, options, run_metadata)
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1328, in _do_run
    run_metadata)
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1348, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.DataLossError: Attempted to pad to a smaller size than the input element.
	 [[node IteratorGetNext (defined at /home/holecem/tmp/pycharm_project_602/xtools/sqlite_experiment_generator.py:365) ]]

Caused by op 'IteratorGetNext', defined at:
  File "/home/holecem/.pycharm_helpers/pydev/pydevd.py", line 1664, in <module>
    main()
  File "/home/holecem/.pycharm_helpers/pydev/pydevd.py", line 1658, in main
    globals = debugger.run(setup['file'], None, None, is_module)
  File "/home/holecem/.pycharm_helpers/pydev/pydevd.py", line 1068, in run
    pydev_imports.execfile(file, globals, locals)  # execute the script
  File "/home/holecem/.pycharm_helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
    exec(compile(contents+"\n", file, 'exec'), glob, loc)
  File "/home/holecem/tmp/pycharm_project_602/xtools/experiments_reuse.py", line 332, in <module>
    limit=1000, # debug parameter
  File "/home/holecem/tmp/pycharm_project_602/xtools/experiments_reuse.py", line 312, in run_keras_rendered_experiment_binary
    use_multiprocessing=False
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 91, in wrapper
    return func(*args, **kwargs)
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/keras/engine/training.py", line 1418, in fit_generator
    initial_epoch=initial_epoch)
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/keras/engine/training_generator.py", line 181, in fit_generator
    generator_output = next(output_generator)
  File "/home/holecem/tmp/pycharm_project_602/xtools/sqlite_experiment_generator.py", line 365, in tf_dataset_as_iterator
    iternext = iterator.get_next()
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/data/ops/iterator_ops.py", line 414, in get_next
    output_shapes=self._structure._flat_shapes, name=name)
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/ops/gen_dataset_ops.py", line 1685, in iterator_get_next
    output_shapes=output_shapes, name=name)
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper
    op_def=op_def)
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
    return func(*args, **kwargs)
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3300, in create_op
    op_def=op_def)
  File "/home/holecem/virt_env_for_pycharm36/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1801, in __init__
    self._traceback = tf_stack.extract_stack()

DataLossError (see above for traceback): Attempted to pad to a smaller size than the input element.
	 [[node IteratorGetNext (defined at /home/holecem/tmp/pycharm_project_602/xtools/sqlite_experiment_generator.py:365) ]]

wb-text-features : (207, 176)
wb-text-onehot : (207, 40, 53)
wb-bbox : (207, 4)
wb-poso : (207, 4)
nearest-wb-text-features : (63, 176)
nearest-wb-text-onehot : (63, 40, 53)
nearest-wb-bbox : (63, 4)
nearest-wb-poso : (63, 4)
nearest-reuse-ids : (5,)
(207, 5)
(207, 5)
wb-text-features : (34, 176)
wb-text-onehot : (34, 40, 53)
wb-bbox : (34, 4)
wb-poso : (34, 4)
nearest-wb-text-features : (166, 176)
nearest-wb-text-onehot : (166, 40, 53)
nearest-wb-bbox : (166, 4)
nearest-wb-poso : (166, 4)
nearest-reuse-ids : (41,)
(34, 41)
(34, 41)
wb-text-features : (163, 176)
wb-text-onehot : (163, 40, 53)
wb-bbox : (163, 4)
wb-poso : (163, 4)
nearest-wb-text-features : (350, 176)
nearest-wb-text-onehot : (350, 40, 53)
nearest-wb-bbox : (350, 4)
nearest-wb-poso : (350, 4)
nearest-reuse-ids : (68,)
(163, 68)
(163, 68)
wb-text-features : (206, 176)
wb-text-onehot : (206, 40, 53)
wb-bbox : (206, 4)
wb-poso : (206, 4)
nearest-wb-text-features : (350, 176)
nearest-wb-text-onehot : (350, 40, 53)
nearest-wb-bbox : (350, 4)
nearest-wb-poso : (350, 4)
nearest-reuse-ids : (68,)
(206, 68)
(206, 68)
wb-text-features : (138, 176)
wb-text-onehot : (138, 40, 53)
wb-bbox : (138, 4)
wb-poso : (138, 4)
nearest-wb-text-features : (350, 176)
nearest-wb-text-onehot : (350, 40, 53)
nearest-wb-bbox : (350, 4)
nearest-wb-poso : (350, 4)
nearest-reuse-ids : (68,)
(138, 68)
(138, 68)
wb-text-features : (92, 176)
wb-text-onehot : (92, 40, 53)
wb-bbox : (92, 4)
wb-poso : (92, 4)
nearest-wb-text-features : (213, 176)
nearest-wb-text-onehot : (213, 40, 53)
nearest-wb-bbox : (213, 4)
nearest-wb-poso : (213, 4)
nearest-reuse-ids : (31,)
(92, 31)
(92, 31)
wb-text-features : (103, 176)
wb-text-onehot : (103, 40, 53)
wb-bbox : (103, 4)
wb-poso : (103, 4)
nearest-wb-text-features : (350, 176)
nearest-wb-text-onehot : (350, 40, 53)
nearest-wb-bbox : (350, 4)
nearest-wb-poso : (350, 4)
nearest-reuse-ids : (68,)
(103, 68)
(103, 68)
wb-text-features : (201, 176)
wb-text-onehot : (201, 40, 53)
wb-bbox : (201, 4)
wb-poso : (201, 4)
nearest-wb-text-features : (124, 176)
nearest-wb-text-onehot : (124, 40, 53)
nearest-wb-bbox : (124, 4)
nearest-wb-poso : (124, 4)
nearest-reuse-ids : (37,)
(201, 37)
(201, 37)
wb-text-features : (238, 176)
wb-text-onehot : (238, 40, 53)
wb-bbox : (238, 4)
wb-poso : (238, 4)
wb-text-features : (122, 176)
wb-text-onehot : (122, 40, 53)
wb-bbox : (122, 4)
wb-poso : (122, 4)
nearest-wb-text-features : (350, 176)
nearest-wb-text-features : (193, 176)
nearest-wb-text-onehot : (193, 40, 53)
nearest-wb-bbox : (193, 4)
nearest-wb-text-onehot : (350, 40, 53)
nearest-wb-poso : (193, 4)
nearest-reuse-ids : (68,)
(122, 68)
(122, 68)
nearest-wb-bbox : (350, 4)
nearest-wb-poso : (350, 4)
nearest-reuse-ids : (68,)
(238, 68)
(238, 68)
wb-text-features : (47, 176)
wb-text-onehot : (47, 40, 53)
wb-bbox : (47, 4)
wb-poso : (47, 4)
nearest-wb-text-features : (114, 176)
nearest-wb-text-onehot : (114, 40, 53)
nearest-wb-bbox : (114, 4)
nearest-wb-poso : (114, 4)
nearest-reuse-ids : (27,)
(47, 27)
(47, 27)
wb-text-features : (164, 176)
wb-text-onehot : (164, 40, 53)
wb-bbox : (164, 4)
wb-poso : (164, 4)
nearest-wb-text-features : (63, 176)
nearest-wb-text-onehot : (63, 40, 53)
nearest-wb-bbox : (63, 4)
nearest-wb-poso : (63, 4)
nearest-reuse-ids : (5,)
(164, 5)
(164, 5)