執行乙個模型並在numpy陣列中返回結果，我得到記憶體錯誤。在
版本ubuntu 14.04.3 lts
ec2 g2.2x大影象：ami-125b2c7215gb記憶體，8vcpu
python:python 2.7.6
在numpy.version.version版本：1.13.3
*在16gb記憶體的macos中執行良好。在
錯誤using tensorflow backend.
dataset: 6000 train images.
descriptions: train=6000
vocabulary size: 7579
photos: train=6000
description length: 34
traceback (most recent call last):
file "main.py", line 291, in
x1train, x2train, ytrain = create_sequences(tokenizer, max_length, train_descriptions, train_features)
file "main.py", line 225, in create_sequences
return array(x1), array(x2), array(y)
memoryerror
記憶體資訊memtotal: 15400948 kb
memfree: 14558676 kb
buffers: 388 kb
cached: 604332 kb
swapcached: 3764 kb
active: 301464 kb
inactive: 315596 kb
active(anon): 1344 kb
inactive(anon): 11296 kb
active(file): 300120 kb
inactive(file): 304300 kb
unevictable: 0 kb
mlocked: 0 kb
swaptotal: 1048572 kb
swapfree: 1029036 kb
dirty: 0 kb
writeback: 0 kb
anonpages: 8672 kb
shmem: 228 kb
slab: 110036 kb
sreclaimable: 90396 kb
sunreclaim: 19640 kb
kernelstack: 1416 kb
pagetables: 3128 kb
nfs_unstable: 0 kb
bounce: 0 kb
writebacktmp: 0 kb
commitlimit: 8749044 kb
committed_as: 164204 kb
vmalloctotal: 34359738367 kb
vmallocused: 36252 kb
vmallocchunk: 34359696924 kb
hardwarecorrupted: 0 kb
anonhugepages: 0 kb
hugepages_total: 0
hugepages_free: 0
hugepages_rsvd: 0
hugepages_surp: 0
hugepagesize: 2048 kb
directmap4k: 71680 kb
directmap2m: 15656960 kb
icreated乙個14gb的交換檔案，30秒後結果相同。在root@ip-172-31-29-206:~# free -h
total used free shared buffers cached
mem: 14g 14g 276m 0b 292k 3.7m
-/+ buffers/cache: 14g 280m
swap: 14g 4.5g 10g
root@ip-172-31-29-206:~# free -h
total used free shared buffers cached
mem: 14g 10g 4.5g 0b 292k 6.8m
-/+ buffers/cache: 10g 4.5g
swap: 14g 4.3g 10g
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