Он покажет вам необходимую информацию о вашей стойке GPU.
нирую некоторые музыкальные данные на LSTM-RNN в Tensorflow и столкнулся с некоторой проблемой с распределением памяти по графическим процессорам, которую я не понимаю: я сталкиваюсь с OOM, когда на самом деле кажется, что VRAM почти достаточно доступно. Немного предыстории: я работаю над Ubuntu Gnome 16.04, использую GTX1060 6 ГБ, Intel Xeon E3-1231V3 и 8 ГБ ОЗУ. Итак, теперь сначала часть сообщения об ошибке, которую я могу понять, и в конце я снова добавлю сообщение об ошибке полностью для всех, кто мог бы попросить его помочь:
I tenorflow / core / common_runtime / bfc_allocator.cc: 696] 8 кусков размером 256 общим объемом 2,0 КБ I tenorflow / core / common_runtime / bfc_allocator.cc: 696] 1 кусков размером 1280 общим объемом 1,2 КБ I tenorflow / core / common_runtime / bfc_ .cc: 696] 5 блоков размером 44288 на общую сумму 216,2 КБ I тензорного потока / core / common_runtime / bfc_allocator.cc: 696] 5 блоков размером 56064 на общую сумму 273,8 КБ I тензорного потока / core / common_runtime / bfc_allocator.cc: 696] 4 блока размер 154350080 на общую сумму 588,80 МБ I тензорный поток / core / common_runtime / bfc_allocator.cc: 696] 3 куска размера 813400064 на общую сумму 2,27 ГБ I tenorflow / core / common_runtime / bfc_allocator.cc: 696] 1 куска размера I 121250GB на общую сумму I 121250BB2 всего core / common_runtime / bfc_allocator.cc: 700] Sum Общее количество используемых блоков: 4,35 ГБ I tenorflow / core / common_runtime / bfc_allocator.cc: 702] Статистика:
Лимит: 5484118016
InUse: 4670717952
MaxInUse: 5484118016
NumAllocs: 29
MaxAllocSize: 1612612352
W tenorflow / core / common_runtime / bfc_allocator.cc: 274] ********************* ___________ * __ ************* ********************************************* xxxxxxxxxxxxxx W tenorflow / core / common_runtime / bfc_allocator.cc: 275] Недостаточно памяти, пытаясь выделить 775,72 МБ. Смотрите журналы для состояния памяти. W tenorflow / core / framework / op_kernel.cc: 993] Ресурс исчерпан: OOM при выделении тензора с формой [14525,14000]
Таким образом, я могу прочитать, что существует максимум 5484118016 байт, которые должны быть выделены, 4670717952 байта уже используются, и еще 777,72 МБ = 775720000 байт должны быть выделены. 5484118016 байт - 4670717952 байт - 775720000 байт = 37680064 байт согласно моему калькулятору. Таким образом, все еще должно быть 37 МБ свободной VRAM после выделения места для нового Tensor, который он хочет продвинуть туда. Это также кажется мне вполне законным, поскольку Tensorflow, вероятно, (я полагаю?) Не будет пытаться выделить больше VRAM, чем доступно, а просто поместит оставшиеся данные в оперативную память или что-то в этом роде.
Теперь я думаю, что в моих мыслях есть какая-то большая ошибка, но я был бы весьма благодарен, если бы кто-то мог объяснить мне, что это за ошибка. Очевидная стратегия решения моей проблемы состоит в том, чтобы просто сделать свои пакеты немного меньше, причем каждая из них должна иметь размер около 1,5 ГБ, вероятно, слишком большой. Тем не менее, я хотел бы знать, в чем проблема.
редактировать: я нашел что-то подсказывающее мне попробовать:
config = tf.ConfigProto()
config.gpu_options.allocator_type = 'BFC'
with tf.Session(config = config) as s:
который до сих пор не работает, но в документации по тензорному потоку отсутствует объяснение того, что
gpu_options.allocator_type = 'BFC'
было бы, я хотел бы спросить вас, ребята.
Добавление остальной части сообщения об ошибке для всех, кто заинтересован:
Извините за длинное копирование / вставку, но, возможно, кому-то понадобится / захочется это увидеть,
Большое спасибо заранее, Леон
(gputensorflow) leon@ljksUbuntu:~/Tensorflow$ python Netzwerk_v0.5.1_gamma.py
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcublas.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcudnn.so.5 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcurand.so.8.0 locally
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:910] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
I tensorflow/core/common_runtime/gpu/gpu_device.cc:885] Found device 0 with properties:
name: GeForce GTX 1060 6GB
major: 6 minor: 1 memoryClockRate (GHz) 1.7335
pciBusID 0000:01:00.0
Total memory: 5.93GiB
Free memory: 5.40GiB
I tensorflow/core/common_runtime/gpu/gpu_device.cc:906] DMA: 0
I tensorflow/core/common_runtime/gpu/gpu_device.cc:916] 0: Y
I tensorflow/core/common_runtime/gpu/gpu_device.cc:975] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1060 6GB, pci bus id: 0000:01:00.0)
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (256): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (512): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (1024): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (2048): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (4096): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (8192): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (16384): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (32768): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (65536): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (131072): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (262144): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (524288): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (1048576): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (2097152): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (4194304): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (8388608): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (16777216): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (33554432): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (67108864): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (134217728): Total Chunks: 1, Chunks in use: 0 147.20MiB allocated for chunks. 147.20MiB client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:643] Bin (268435456): Total Chunks: 1, Chunks in use: 0 628.52MiB allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/bfc_allocator.cc:660] Bin for 775.72MiB was 256.00MiB, Chunk State:
I tensorflow/core/common_runtime/bfc_allocator.cc:666] Size: 628.52MiB | Requested Size: 0B | in_use: 0, prev: Size: 147.20MiB | Requested Size: 147.20MiB | in_use: 1, next: Size: 54.8KiB | Requested Size: 54.7KiB | in_use: 1
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x10208000000 of size 1280
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x10208000500 of size 256
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x10208000600 of size 56064
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x1020800e100 of size 256
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x1020800e200 of size 44288
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x10208018f00 of size 256
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x10208019000 of size 256
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x10208019100 of size 813400064
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x102387d1100 of size 56064
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x102387dec00 of size 154350080
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x10241b11e00 of size 44288
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x10241b1cb00 of size 256
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x10241b1cc00 of size 256
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x10241b1cd00 of size 154350080
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x102722d4d00 of size 56064
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x1027b615a00 of size 44288
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x1027b620700 of size 256
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x1027b620800 of size 256
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x1027b620900 of size 813400064
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x102abdd8900 of size 813400064
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x102dc590900 of size 56064
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x102dc59e400 of size 56064
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x102dc5abf00 of size 154350080
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x102e58df100 of size 154350080
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x102eec12300 of size 44288
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x102eec1d000 of size 44288
I tensorflow/core/common_runtime/bfc_allocator.cc:678] Chunk at 0x102eec27d00 of size 1612612352
I tensorflow/core/common_runtime/bfc_allocator.cc:687] Free at 0x1024ae4ff00 of size 659049984
I tensorflow/core/common_runtime/bfc_allocator.cc:687] Free at 0x102722e2800 of size 154350080
I tensorflow/core/common_runtime/bfc_allocator.cc:693] Summary of in-use Chunks by size:
I tensorflow/core/common_runtime/bfc_allocator.cc:696] 8 Chunks of size 256 totalling 2.0KiB
I tensorflow/core/common_runtime/bfc_allocator.cc:696] 1 Chunks of size 1280 totalling 1.2KiB
I tensorflow/core/common_runtime/bfc_allocator.cc:696] 5 Chunks of size 44288 totalling 216.2KiB
I tensorflow/core/common_runtime/bfc_allocator.cc:696] 5 Chunks of size 56064 totalling 273.8KiB
I tensorflow/core/common_runtime/bfc_allocator.cc:696] 4 Chunks of size 154350080 totalling 588.80MiB
I tensorflow/core/common_runtime/bfc_allocator.cc:696] 3 Chunks of size 813400064 totalling 2.27GiB
I tensorflow/core/common_runtime/bfc_allocator.cc:696] 1 Chunks of size 1612612352 totalling 1.50GiB
I tensorflow/core/common_runtime/bfc_allocator.cc:700] Sum Total of in-use chunks: 4.35GiB
I tensorflow/core/common_runtime/bfc_allocator.cc:702] Stats:
Limit: 5484118016
InUse: 4670717952
MaxInUse: 5484118016
NumAllocs: 29
MaxAllocSize: 1612612352
W tensorflow/core/common_runtime/bfc_allocator.cc:274] *********************___________*__***************************************************xxxxxxxxxxxxxx
W tensorflow/core/common_runtime/bfc_allocator.cc:275] Ran out of memory trying to allocate 775.72MiB. See logs for memory state.
W tensorflow/core/framework/op_kernel.cc:993] Resource exhausted: OOM when allocating tensor with shape[14525,14000]
Traceback (most recent call last):
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1022, in _do_call
return fn(*args)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1004, in _run_fn
status, run_metadata)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/contextlib.py", line 66, in __exit__
next(self.gen)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/framework/errors_impl.py", line 469, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[14525,14000]
[[Node: rnn/basic_lstm_cell/weights/Initializer/random_uniform = Add[T=DT_FLOAT, _class=["loc:@rnn/basic_lstm_cell/weights"], _device="/job:localhost/replica:0/task:0/gpu:0"](rnn/basic_lstm_cell/weights/Initializer/random_uniform/mul, rnn/basic_lstm_cell/weights/Initializer/random_uniform/min)]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "Netzwerk_v0.5.1_gamma.py", line 171, in <module>
session.run(tf.global_variables_initializer())
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 767, in run
run_metadata_ptr)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 965, in _run
feed_dict_string, options, run_metadata)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1015, in _do_run
target_list, options, run_metadata)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1035, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[14525,14000]
[[Node: rnn/basic_lstm_cell/weights/Initializer/random_uniform = Add[T=DT_FLOAT, _class=["loc:@rnn/basic_lstm_cell/weights"], _device="/job:localhost/replica:0/task:0/gpu:0"](rnn/basic_lstm_cell/weights/Initializer/random_uniform/mul, rnn/basic_lstm_cell/weights/Initializer/random_uniform/min)]]
Caused by op 'rnn/basic_lstm_cell/weights/Initializer/random_uniform', defined at:
File "Netzwerk_v0.5.1_gamma.py", line 94, in <module>
initial_state=initial_state, time_major=False) # time_major = FALSE currently
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/rnn.py", line 545, in dynamic_rnn
dtype=dtype)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/rnn.py", line 712, in _dynamic_rnn_loop
swap_memory=swap_memory)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2626, in while_loop
result = context.BuildLoop(cond, body, loop_vars, shape_invariants)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2459, in BuildLoop
pred, body, original_loop_vars, loop_vars, shape_invariants)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2409, in _BuildLoop
body_result = body(*packed_vars_for_body)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/rnn.py", line 697, in _time_step
(output, new_state) = call_cell()
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/rnn.py", line 683, in <lambda>
call_cell = lambda: cell(input_t, state)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/contrib/rnn/python/ops/core_rnn_cell_impl.py", line 179, in __call__
concat = _linear([inputs, h], 4 * self._num_units, True, scope=scope)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/contrib/rnn/python/ops/core_rnn_cell_impl.py", line 747, in _linear
"weights", [total_arg_size, output_size], dtype=dtype)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/variable_scope.py", line 988, in get_variable
custom_getter=custom_getter)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/variable_scope.py", line 890, in get_variable
custom_getter=custom_getter)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/variable_scope.py", line 348, in get_variable
validate_shape=validate_shape)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/variable_scope.py", line 333, in _true_getter
caching_device=caching_device, validate_shape=validate_shape)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/variable_scope.py", line 684, in _get_single_variable
validate_shape=validate_shape)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/variables.py", line 226, in __init__
expected_shape=expected_shape)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/variables.py", line 303, in _init_from_args
initial_value(), name="initial_value", dtype=dtype)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/variable_scope.py", line 673, in <lambda>
shape.as_list(), dtype=dtype, partition_info=partition_info)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/init_ops.py", line 360, in __call__
dtype, seed=self.seed)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/random_ops.py", line 246, in random_uniform
return math_ops.add(rnd * (maxval - minval), minval, name=name)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/ops/gen_math_ops.py", line 73, in add
result = _op_def_lib.apply_op("Add", x=x, y=y, name=name)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 763, in apply_op
op_def=op_def)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 2395, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/home/leon/anaconda3/envs/gputensorflow/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1264, in __init__
self._traceback = _extract_stack()
ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[14525,14000]
[[Node: rnn/basic_lstm_cell/weights/Initializer/random_uniform = Add[T=DT_FLOAT, _class=["loc:@rnn/basic_lstm_cell/weights"], _device="/job:localhost/replica:0/task:0/gpu:0"](rnn/basic_lstm_cell/weights/Initializer/random_uniform/mul, rnn/basic_lstm_cell/weights/Initializer/random_uniform/min)]]