我正在 Tensorflow 中的 LSTM-RNN 上训练一些音乐数据，并遇到了一些我不明白的 GPU-Memory-Allocation 问题：当实际上似乎还有足够的 VRAM 可用时，我遇到了 OOM。一些背景知识：我正在开发 Ubuntu Gnome 16.04，使用 GTX1060 6GB、Intel Xeon E3-1231V3 和 8GB RAM。所以现在首先是我可以理解的错误消息部分，我将在最后再次添加整个错误消息，以供任何可能要求它帮助的人：
I tensorflow/core/common_runtime/bfc_allocator.cc:696] 8 个大小为 256 的块，总计 2.0KiB I tensorflow/core/common_runtime/bfc_allocator.cc:696] 1 个大小为 1280 的块，总计 1.2KiB I tensorflow/core/common_runtime/bfc_allocator .cc:696] 5 个大小为 44288 的块，总计 216.2KiB I tensorflow/core/common_runtime/bfc_allocator.cc:696] 5 个大小为 56064 的块，总计 273.8KiB I tensorflow/core/common_runtime/bfc_allocator.cc:696] 4 个块大小 154350080 总计 588.80MiB I tensorflow/core/common_runtime/bfc_allocator.cc:696] 3 个大小为 813400064 的块总计 2.27GiB I tensorflow/core/common_runtime/bfc_allocator.cc:696] 1 个大小为 1612612352 的块总计/1.50 张量core/common_runtime/bfc_allocator.cc:700] 使用中块的总和：4.35GiB I tensorflow/core/common_runtime/bfc_allocator.cc:702]统计：
限额：5484118016
使用中：4670717952
最大使用量：5484118016
NumAllocs：29
最大分配大小：1612612352
W tensorflow/core/common_runtime/bfc_allocator.cc:274] ********************___________*__****************** ******************************************xxxxxxxxxxxxxx W tensorflow/core/common_runtime/bfc_allocator.cc: 275] 尝试分配 775.72MiB 时内存不足。查看日志以了解内存状态。W tensorflow/core/framework/op_kernel.cc:993] 资源耗尽：分配具有形状的张量时出现 OOM [14525,14000]
所以我可以读到最多有 5484118016 字节要分配，4670717952 字节已经在使用中，另外 777.72MB = 775720000 字节要分配。根据我的计算器，5484118016 字节 - 4670717952 字节 - 775720000 字节 = 37680064 字节。因此，在为他想要推入的新张量分配空间后，应该还有 37MB 的空闲 VRAM。这对我来说似乎也很合法，因为 Tensorflow 可能（我猜？）不会尝试分配比仍然可用的更多的 VRAM，而只是将其余数据保留在 RAM 或其他东西中。
现在我想我的想法只是有一些大错误，但如果有人能向我解释这个错误是什么，我将非常感激。我的问题的明显解决策略是让我的批次更小一点，每个批次都在 1.5GB 左右可能太大了。我仍然很想知道那里的实际问题是什么。
编辑：我发现了一些告诉我尝试的东西：
config = tf.ConfigProto()
config.gpu_options.allocator_type = 'BFC'
with tf.Session(config = config) as s:
这仍然不起作用，但由于 tensorflow 文档缺乏任何解释
gpu_options.allocator_type = 'BFC'
会的，我很想问你们。
为任何感兴趣的人添加错误消息的其余部分：
很抱歉复制/粘贴太长，但也许有人需要/想看它，
非常感谢你，莱昂
(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)]]