Tenseur de Flux: mémoire insuffisante en essayant de répartir

Je suis en cours d'exécution du Tenseur de Flux de version 0.7.1, 64-bit GPU, installé avec le pip, et sur un PC avec Ubuntu 14.04. Mon problème est que le Tenseur de Flux est en cours d'exécution hors de la mémoire lors de la construction de mon réseau, même si selon mes calculs, il devrait y avoir suffisamment d'espace sur mon GPU.

Ci-dessous est un exemple minimal de mon code, qui est basé sur le Tenseur de Flux de MNIST tutoriel. Le réseau est un deux-couche entièrement connecté au réseau, et le nombre de nœuds dans la couche cachée est défini par la variable n. La taille de la formation minibatch est 1. Voici mon code:

n = 23000

mnist = read_data_sets('MINST_Data', one_hot=True)
session = tf.InteractiveSession()
x = tf.placeholder(tf.float32, [None, 784])
W1 = tf.Variable(tf.truncated_normal([784, n], stddev=0.1))
b1 = tf.Variable(tf.constant(0.1, shape=[n]))
nn1 = tf.matmul(x, W1) + b1
W2 = tf.Variable(tf.truncated_normal([n, 10], stddev=0.1))
b2 = tf.Variable(tf.constant(0.1, shape=[10]))
nn2 = tf.matmul(nn1, W2) + b2
y = tf.nn.softmax(nn2)
y_ = tf.placeholder(tf.float32, [None, 10])
cross_entropy = -tf.reduce_sum(y_*tf.log(y))
train_step = tf.train.AdamOptimizer(1e-4).minimize(cross_entropy)
correct_prediction = tf.equal(tf.argmax(y,1), tf.argmax(y_,1))
accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))

init = tf.initialize_all_variables()
sess = tf.Session()
sess.run(init)
for i in range(1000):
  batch_xs, batch_ys = mnist.train.next_batch(1)
  sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys})

Maintenant, si n <= 22000, puis le réseau fonctionne très bien. Toutefois, si n >= 23000, j'obtiens l'erreur suivante:

W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:211] Ran out of memory trying to allocate 877.38MiB.  See logs for memory state
W tensorflow/core/kernels/cwise_ops_common.cc:56] Resource exhausted: OOM when allocating tensor with shape[10000,23000]

Cependant, selon mes calculs, il ne devrait pas être un problème avec la mémoire. Le nombre de paramètres dans le réseau est comme suit:

First layer weights: 784 * n
First layer biases: n
Second layer weights: 10 * n
Second layer biases: 10
Total: 795n + 10

Donc, avec n = 23000, et à l'aide de float32 de données, le total de la mémoire requise pour le réseau devrait donc être 73,1 MO.

Maintenant, ma carte graphique est une NVIDIA GeForce GTX 780 Ti, qui a 3072 MO de mémoire. Après la découverte de ma carte graphique, Tenseur du Flux des impressions de la manière suivante:

Total memory: 3.00GiB
Free memory: 2.32GiB

Donc, il devrait être d'environ 2.32 GO de mémoire disponible, ce qui est beaucoup plus grande que les 73.1 MO calculée ci-dessus. Le minibatch taille est 1, donc cela a un effet minime. Pourquoi j'obtiens cette erreur?

---

J'ai aussi essayé aujourd'hui présent sur mon ordinateur portable, qui a une Nvidia GeForce GTX 880M GPU. Ici, le Tenseur des Flux de lit Free memory: 7.60GiB. Exécute le même code que ci-dessus, il me donne une erreur de mémoire, autour de n = 700,000, qui est l'équivalent de 2,2 GO. Cela fait un peu plus de sens, et est significativement plus élevée que le point où l'un de mes PC code des pauses. Cependant, il est toujours déroutant pour moi pourquoi il ne veut pas briser plus près de l'7.6 GO marque.

---

La sortie complète à partir du Tenseur de Flux tout en exécutant le code ci-dessus sur mon PC, avec n = 23000, est:

I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:900] 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_init.cc:102] Found device 0 with properties: 
name: GeForce GTX 780 Ti
major: 3 minor: 5 memoryClockRate (GHz) 1.0455
pciBusID 0000:01:00.0
Total memory: 3.00GiB
Free memory: 2.32GiB
I tensorflow/core/common_runtime/gpu/gpu_init.cc:126] DMA: 0 
I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 0:   Y 
I tensorflow/core/common_runtime/gpu/gpu_device.cc:717] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 780 Ti, pci bus id: 0000:01:00.0)
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 1.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 2.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 4.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 8.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 16.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 32.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 64.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 128.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 256.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 512.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 1.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 2.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 4.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 8.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 16.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 32.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 64.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 128.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 256.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 512.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 1.00GiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 2.00GiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 4.00GiB
I tensorflow/core/common_runtime/gpu/gpu_device.cc:717] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 780 Ti, pci bus id: 0000:01:00.0)
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:73] Allocating 2.03GiB bytes.
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:83] GPU 0 memory begins at 0xb04720000 extends to 0xb86295000
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] Bin (524288):    Total Chunks: 2, Chunks in use: 0 819.0KiB allocated for chunks. 390.6KiB client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] 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/gpu/gpu_bfc_allocator.cc:431] Bin (134217728):     Total Chunks: 1, Chunks in use: 0 68.79MiB allocated for chunks. 29.91MiB client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:431] Bin (268435456):     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/gpu/gpu_bfc_allocator.cc:431] Bin (536870912):     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/gpu/gpu_bfc_allocator.cc:431] Bin (1073741824):    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/gpu/gpu_bfc_allocator.cc:431] Bin (2147483648):    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/gpu/gpu_bfc_allocator.cc:431] Bin (4294967296):    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/gpu/gpu_bfc_allocator.cc:450] Bin for 877.38MiB was 1.00GiB, Chunk State: 
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb0d239400 of size 80128
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb0d1d7600 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb0d24cd00 of size 438528
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb0d1d7500 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb1a3e3200 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb1a302800 of size 920064
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb15d58800 of size 920064
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb08cf7500 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb04736b00 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb0d2b7f00 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb15e39200 of size 72128000
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb08c16b00 of size 920064
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb15c61500 of size 92160
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb04736d00 of size 72128000
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb0d2b8100 of size 72128000
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb15c4ad00 of size 92160
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb04736a00 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb0d2b7e00 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb0d1d7900 of size 400128
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb04720200 of size 92160
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb04736c00 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb08cf7600 of size 72128000
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb1a3e3300 of size 1810570496
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb0d1c0c00 of size 92160
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb08c00300 of size 92160
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb0d2b8000 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb0d1d7800 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb04720100 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb0d1d7700 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb04720000 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb0d1d7400 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb11781700 of size 72128000
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb15c77d00 of size 256
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:465] Chunk at 0xb15c77e00 of size 920064
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:468]      Summary of in-use Chunks by size: 
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:471] 16 Chunks of size 256 totalling 4.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:471] 1 Chunks of size 80128 totalling 78.2KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:471] 5 Chunks of size 92160 totalling 450.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:471] 1 Chunks of size 400128 totalling 390.8KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:471] 1 Chunks of size 438528 totalling 428.2KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:471] 4 Chunks of size 920064 totalling 3.51MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:471] 5 Chunks of size 72128000 totalling 343.93MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:471] 1 Chunks of size 1810570496 totalling 1.69GiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:475] Sum Total of in-use chunks: 2.03GiB
W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:211] Ran out of memory trying to allocate 877.38MiB.  See logs for memory state
W tensorflow/core/kernels/cwise_ops_common.cc:56] Resource exhausted: OOM when allocating tensor with shape[10000,23000]
W tensorflow/core/common_runtime/executor.cc:1102] 0x50f40e0 Compute status: Resource exhausted: OOM when allocating tensor with shape[10000,23000]
[[Node: add = Add[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"](MatMul, Variable_1/read)]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x3234d30 Compute status: Resource exhausted: OOM when allocating tensor with shape[10000,23000]
[[Node: add = Add[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"](MatMul, Variable_1/read)]]
[[Node: range_1/_13 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_97_range_1", tensor_type=DT_INT32, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x3234d30 Compute status: Resource exhausted: OOM when allocating tensor with shape[10000,23000]
[[Node: add = Add[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"](MatMul, Variable_1/read)]]
[[Node: Cast/_11 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_96_Cast", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
Traceback (most recent call last):
File "/home/jrowlay/Projects/Tensor_Flow_Tutorial/MNIST_CNN_Simple/memory_test.py", line 232, in <module>
print(sess.run(accuracy, feed_dict={x: mnist.test.images, y_: mnist.test.labels}))
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 315, in run
return self._run(None, fetches, feed_dict)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 511, in _run
feed_dict_string)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 564, in _do_run
target_list)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 586, in _do_call
e.code)
tensorflow.python.framework.errors.ResourceExhaustedError: OOM when allocating tensor with shape[10000,23000]
[[Node: add = Add[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"](MatMul, Variable_1/read)]]
[[Node: range_1/_13 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_97_range_1", tensor_type=DT_INT32, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
Caused by op u'add', defined at:
File "/home/jrowlay/Projects/Tensor_Flow_Tutorial/MNIST_CNN_Simple/memory_test.py", line 215, in <module>
nn1 = tf.matmul(x, W1) + b1
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/math_ops.py", line 468, in binary_op_wrapper
return func(x, y, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_math_ops.py", line 44, in add
return _op_def_lib.apply_op("Add", x=x, y=y, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/op_def_library.py", line 655, in apply_op
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2040, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1087, in __init__
self._traceback = _extract_stack()

OriginalL'auteur Karnivaurus | 2016-04-03