最近我将我的 ubuntu 升级到 18.04，但无法将 tensorflow 导入任何 python 代码。以下是示例：
>>> import tensorflow
python3: Relink `/lib/x86_64-linux-gnu/libudev.so.1' with `/lib/x86_64-linux-gnu/librt.so.1' for IFUNC symbol `clock_gettime'
Segmentation fault (core dumped)
网络上还有其他与此类错误相关的文章，但所提出的补救措施均不起作用（主要是围绕安装 opencv）[https://github.com/tensorflow/tensorflow/issues/19375]。
我已经安装了 CUDA 10.0，这似乎是 tensorflow 版本所需的特定版本。
我已确保：
- 为python3安装了opencv-python。
- 我有最新的 nvidia 图形驱动程序。
- 我相信我有正确的 cuda 和 cudaDNN 库
- 重新安装 udev（万福玛利亚传球）
我运行的是 Python 3.6.7
以下是 Nivida 显卡驱动程序的信息：
modinfo nvidia
filename: /lib/modules/4.15.0-47-generic/updates/dkms/nvidia.ko
alias: char-major-195-*
version: 418.39
supported: external
license: NVIDIA
srcversion: 86171E965AC9C3AD399B033
alias: pci:v000010DEd00000E00sv*sd*bc04sc80i00*
alias: pci:v000010DEd*sv*sd*bc03sc02i00*
alias: pci:v000010DEd*sv*sd*bc03sc00i00*
depends: ipmi_msghandler
retpoline: Y
name: nvidia
vermagic: 4.15.0-47-generic SMP mod_unload
signat: PKCS#7
signer:
sig_key:
sig_hashalgo: md4
parm: NvSwitchRegDwords:NvSwitch regkey (charp)
parm: NVreg_Mobile:int
parm: NVreg_ResmanDebugLevel:int
parm: NVreg_RmLogonRC:int
parm: NVreg_ModifyDeviceFiles:int
parm: NVreg_DeviceFileUID:int
parm: NVreg_DeviceFileGID:int
parm: NVreg_DeviceFileMode:int
parm: NVreg_UpdateMemoryTypes:int
parm: NVreg_InitializeSystemMemoryAllocations:int
parm: NVreg_UsePageAttributeTable:int
parm: NVreg_MapRegistersEarly:int
parm: NVreg_RegisterForACPIEvents:int
parm: NVreg_CheckPCIConfigSpace:int
parm: NVreg_EnablePCIeGen3:int
parm: NVreg_EnableMSI:int
parm: NVreg_TCEBypassMode:int
parm: NVreg_EnableStreamMemOPs:int
parm: NVreg_EnableBacklightHandler:int
parm: NVreg_RestrictProfilingToAdminUsers:int
parm: NVreg_EnableUserNUMAManagement:int
parm: NVreg_MemoryPoolSize:int
parm: NVreg_KMallocHeapMaxSize:int
parm: NVreg_VMallocHeapMaxSize:int
parm: NVreg_IgnoreMMIOCheck:int
parm: NVreg_NvLinkDisable:int
parm: NVreg_RegistryDwords:charp
parm: NVreg_RegistryDwordsPerDevice:charp
parm: NVreg_RmMsg:charp
parm: NVreg_GpuBlacklist:charp
parm: NVreg_AssignGpus:charp
以下是安装的 Python 库的版本：
pip3 install tensorflow-gpu
Requirement already satisfied: tensorflow-gpu in /usr/local/lib/python3.6/dist-packages (1.13.1)
Requirement already satisfied: grpcio>=1.8.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (1.19.0)
Requirement already satisfied: protobuf>=3.6.1 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (3.7.1)
Requirement already satisfied: tensorboard<1.14.0,>=1.13.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (1.13.1)
Requirement already satisfied: astor>=0.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (0.7.1)
Requirement already satisfied: wheel>=0.26 in /usr/lib/python3/dist-packages (from tensorflow-gpu) (0.30.0)
Requirement already satisfied: six>=1.10.0 in /usr/lib/python3/dist-packages (from tensorflow-gpu) (1.11.0)
Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (1.15.3)
Requirement already satisfied: termcolor>=1.1.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (1.1.0)
Requirement already satisfied: keras-preprocessing>=1.0.5 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (1.0.9)
Requirement already satisfied: absl-py>=0.1.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (0.7.1)
Requirement already satisfied: gast>=0.2.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (0.2.2)
Requirement already satisfied: tensorflow-estimator<1.14.0rc0,>=1.13.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (1.13.0)
Requirement already satisfied: keras-applications>=1.0.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (1.0.7)
Requirement already satisfied: setuptools in /usr/lib/python3/dist-packages (from protobuf>=3.6.1->tensorflow-gpu) (39.0.1)
Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.6/dist-packages (from tensorboard<1.14.0,>=1.13.0->tensorflow-gpu) (0.15.2)
Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.6/dist-packages (from tensorboard<1.14.0,>=1.13.0->tensorflow-gpu) (3.1)
Requirement already satisfied: mock>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-estimator<1.14.0rc0,>=1.13.0->tensorflow-gpu) (2.0.0)
Requirement already satisfied: h5py in /usr/local/lib/python3.6/dist-packages (from keras-applications>=1.0.6->tensorflow-gpu) (2.9.0)
Requirement already satisfied: pbr>=0.11 in /usr/local/lib/python3.6/dist-packages (from mock>=2.0.0->tensorflow-estimator<1.14.0rc0,>=1.13.0->tensorflow-gpu) (5.1.0)
tensorflow dump 工具输出：
== cat /etc/issue ===============================================
Linux mega 4.15.0-47-generic #50-Ubuntu SMP Wed Mar 13 10:44:52 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux
VERSION="18.04.2 LTS (Bionic Beaver)"
VERSION_ID="18.04"
VERSION_CODENAME=bionic
== are we in docker =============================================
No
== compiler =====================================================
c++ (Ubuntu 7.3.0-27ubuntu1~18.04) 7.3.0
Copyright (C) 2017 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
== uname -a =====================================================
Linux mega 4.15.0-47-generic #50-Ubuntu SMP Wed Mar 13 10:44:52 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux
== check pips ===================================================
msgpack-numpy 0.4.1
numpy 1.15.3
protobuf 3.7.1
tensorflow 1.13.1
tensorflow-estimator 1.13.0
tensorflow-gpu 1.13.1
== check for virtualenv =========================================
False
我尝试包含 tensorflow diag 脚本输出但超出了堆栈交换消息限制。
答案1
不确定这是否算作答案，但 2.0-alpha 没有这个问题。