Comments (7)
用的是CPU版本的tf吗?
from transe.
是GPU版本的,我又试着在CPU版本上跑了一下,也有这个问题
按照我的理解,初始化后程序的内存使用量应该会保持稳定,可是似乎每次eval都会增加
from transe.
有可能是多进程导致的,我有时间看看。不过我没在1.13版本的tf上测试过,也不排除是tf的问题。
from transe.
@clpl 我这边跑了一下train_wn18.sh,eval_freq设置为2。eval时占用的物理内存确实会比训练时要大,但是eval一次之后,程序占用的物理内存就一直稳定在1907M了,并没有出现你所描述的内存会增加的情况。
环境是Ubuntu 16.04.4 + tensorflow-gpu 1.8.0
from transe.
我也重跑了一下,还是会增加,而且是指数型增长的,可能就是tf的问题
tensorflow 1.13.0-rc0 GPU版
from transe.
@clpl 我在tensorflow-gpu 1.12版本下也测试过,自首次eval后,物理内存占用都稳定在2039M,没有出现内存持续增长的情况。
from transe.
这个issue我先关了,有其他进展再重新开。
from transe.
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from transe.