{"action":"created","issue":{"url":"https://api.github.com/repos/tensorflow/tensorflow/issues/1307","repository_url":"https://api.github.com/repos/tensorflow/tensorflow","labels_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/1307/labels{/name}","comments_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/1307/comments","events_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/1307/events","html_url":"https://github.com/tensorflow/tensorflow/issues/1307","id":136802551,"number":1307,"title":"Python import error, undefined symbol: secure_getenv","user":{"login":"digitalsword","id":12500045,"avatar_url":"https://avatars.githubusercontent.com/u/12500045?v=3","gravatar_id":"","url":"https://api.github.com/users/digitalsword","html_url":"https://github.com/digitalsword","followers_url":"https://api.github.com/users/digitalsword/followers","following_url":"https://api.github.com/users/digitalsword/following{/other_user}","gists_url":"https://api.github.com/users/digitalsword/gists{/gist_id}","starred_url":"https://api.github.com/users/digitalsword/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/digitalsword/subscriptions","organizations_url":"https://api.github.com/users/digitalsword/orgs","repos_url":"https://api.github.com/users/digitalsword/repos","events_url":"https://api.github.com/users/digitalsword/events{/privacy}","received_events_url":"https://api.github.com/users/digitalsword/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":9,"created_at":"2016-02-26T20:14:04Z","updated_at":"2016-03-29T15:48:08Z","closed_at":null,"body":"I got python import error, undefined symbol: secure_getenv\r\n\r\nOperating System:\r\nRedhat 6.7\r\n\r\nInstalled from sources using gcc 4.8 (I am using gcc 4.8 installed in a custom path since the default gcc is too old):\r\ncommit b88971051fbc49fa1e0b91ec1b0b60defa11697e\r\nDate:   Fri Feb 26 05:08:35 2016 -0800\r\n\r\n```\r\nPython 2.7.11 |Anaconda 2.2.0 (64-bit)| (default, Dec  6 2015, 18:08:32)\r\n[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2\r\nType \"help\", \"copyright\", \"credits\" or \"license\" for more information.\r\nAnaconda is brought to you by Continuum Analytics.\r\nPlease check out: http://continuum.io/thanks and https://anaconda.org\r\n>>> import tensorflow\r\nTraceback (most recent call last):\r\n  File \"<stdin>\", line 1, in <module>\r\n  File \"/nfs/m01/anaconda/lib/python2.7/site-packages/tensorflow/__init__.py\", line 23, in <module>\r\n    from tensorflow.python import *\r\n  File \"/nfs/m01/anaconda/lib/python2.7/site-packages/tensorflow/python/__init__.py\", line 49, in <module>\r\n    from tensorflow import contrib\r\n  File \"/nfs/m01/anaconda/lib/python2.7/site-packages/tensorflow/contrib/__init__.py\", line 23, in <module>\r\n    from tensorflow.contrib import layers\r\n  File \"/nfs/m01/anaconda/lib/python2.7/site-packages/tensorflow/contrib/layers/__init__.py\", line 67, in <module>\r\n    from tensorflow.contrib.layers.python.framework.tensor_util import *\r\n  File \"/nfs/m01/anaconda/lib/python2.7/site-packages/tensorflow/contrib/layers/python/framework/tensor_util.py\", line 21, in <module>\r\n    from tensorflow.python.framework.ops import Tensor\r\n  File \"/nfs/m01/anaconda/lib/python2.7/site-packages/tensorflow/python/framework/ops.py\", line 39, in <module>\r\n    from tensorflow.python.framework import versions\r\n  File \"/nfs/m01/anaconda/lib/python2.7/site-packages/tensorflow/python/framework/versions.py\", line 22, in <module>\r\n    from tensorflow.python import pywrap_tensorflow\r\n  File \"/nfs/m01/anaconda/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py\", line 25, in <module>\r\n    _pywrap_tensorflow = swig_import_helper()\r\n  File \"/nfs/m01/anaconda/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py\", line 21, in swig_import_helper\r\n    _mod = imp.load_module('_pywrap_tensorflow', fp, pathname, description)\r\nImportError: /nfs/m01/anaconda/lib/python2.7/site-packages/tensorflow/python/_pywrap_tensorflow.so: undefined symbol: secure_getenv\r\n```\r\n\r\nIf I do ldd ~/anaconda/lib/python2.7/site-packages/tensorflow/python/_pywrap_tensorflow.so\r\n```\r\n\tlinux-vdso.so.1 =>  (0x00007ffd393ef000)\r\n\tlibcudart.so.7.5 => /usr/local/cuda/7.5.18/lib64/libcudart.so.7.5 (0x00002ad591b36000)\r\n\tlibdl.so.2 => /lib64/libdl.so.2 (0x00002ad591dc3000)\r\n\tlibm.so.6 => /lib64/libm.so.6 (0x00002ad591fc7000)\r\n\tlibz.so.1 => /lib64/libz.so.1 (0x00002ad59224c000)\r\n\tlibpthread.so.0 => /lib64/libpthread.so.0 (0x00002ad592462000)\r\n\tlibstdc++.so.6 => /usr/local/gcc/4.8.4/lib64/libstdc++.so.6 (0x00002ad59267f000)\r\n\tlibgcc_s.so.1 => /usr/local/gcc/4.8.4/lib64/libgcc_s.so.1 (0x00002ad592989000)\r\n\tlibc.so.6 => /lib64/libc.so.6 (0x00002ad592b9f000)\r\n\t/lib64/ld-linux-x86-64.so.2 (0x0000003a39400000)\r\n\tlibrt.so.1 => /lib64/librt.so.1 (0x00002ad592f33000)\r\n```\r\n"},"comment":{"url":"https://api.github.com/repos/tensorflow/tensorflow/issues/comments/202969133","html_url":"https://github.com/tensorflow/tensorflow/issues/1307#issuecomment-202969133","issue_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/1307","id":202969133,"user":{"login":"digitalsword","id":12500045,"avatar_url":"https://avatars.githubusercontent.com/u/12500045?v=3","gravatar_id":"","url":"https://api.github.com/users/digitalsword","html_url":"https://github.com/digitalsword","followers_url":"https://api.github.com/users/digitalsword/followers","following_url":"https://api.github.com/users/digitalsword/following{/other_user}","gists_url":"https://api.github.com/users/digitalsword/gists{/gist_id}","starred_url":"https://api.github.com/users/digitalsword/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/digitalsword/subscriptions","organizations_url":"https://api.github.com/users/digitalsword/orgs","repos_url":"https://api.github.com/users/digitalsword/repos","events_url":"https://api.github.com/users/digitalsword/events{/privacy}","received_events_url":"https://api.github.com/users/digitalsword/received_events","type":"User","site_admin":false},"created_at":"2016-03-29T15:48:08Z","updated_at":"2016-03-29T15:48:08Z","body":"@rdipietro What's the largest RNN you are able to run? I am stuck at 512 x 3 layers LSTM on Titan X (12 GB GPU memory)."}}