运行导入张量流后非法指令（核心转储）

Question

我创建了一个新的虚拟环境：virtualenv -p python2 test_venv/ 并安装了tensorflow：pip install --upgrade --no-cache-dir tensorflow

import tensorflow 给我 Illegal instruction (core dumped)

请帮助我了解发生了什么以及如何解决。谢谢。

CPU信息：

-cpu
          description: CPU
          product: Intel(R) Core(TM) i3 CPU       M 330  @ 2.13GHz
          bus info: cpu@0
          version: CPU Version
          capabilities: x86-64 fpu fpu_exception wp vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx rdtscp constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf pni dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm sse4_1 sse4_2 popcnt lahf_lm tpr_shadow vnmi flexpriority ept vpid dtherm arat cpufreq

用gdb获得的Stacktrace：

#0  0x00007fffe5793880 in std::pair<std::__detail::_Node_iterator<std::pair<tensorflow::StringPiece const, std::function<bool (tensorflow::Variant*)> >, false, true>, bool> std::_Hashtable<tensorflow::StringPiece, std::pair<tensorflow::StringPiece const, std::function<bool (tensorflow::Variant*)> >, std::allocator<std::pair<tensorflow::StringPiece const, std::function<bool (tensorflow::Variant*)> > >, std::__detail::_Select1st, std::equal_to<tensorflow::StringPiece>, tensorflow::StringPieceHasher, std::__detail::_Mod_range_hashing, std::__detail::_Default_ranged_hash, std::__detail::_Prime_rehash_policy, std::__detail::_Hashtable_traits<true, false, true> >::_M_emplace<std::pair<tensorflow::StringPiece, std::function<bool (tensorflow::Variant*)> > >(std::integral_constant<bool, true>, std::pair<tensorflow::StringPiece, std::function<bool (tensorflow::Variant*)> >&&) ()
   from /media/gerry/hdd_1/ws_hdd/test_venv/local/lib/python2.7/site-packages/tensorflow/python/../libtensorflow_framework.so
#1  0x00007fffe5795735 in tensorflow::UnaryVariantOpRegistry::RegisterDecodeFn(std::string const&, std::function<bool (tensorflow::Variant*)> const&) () from /media/gerry/hdd_1/ws_hdd/test_venv/local/lib/python2.7/site-packages/tensorflow/python/../libtensorflow_framework.so
#2  0x00007fffe5770a7c in tensorflow::variant_op_registry_fn_registration::UnaryVariantDecodeRegistration<tensorflow::Tensor>::UnaryVariantDecodeRegistration(std::string const&) ()
   from /media/gerry/hdd_1/ws_hdd/test_venv/local/lib/python2.7/site-packages/tensorflow/python/../libtensorflow_framework.so
#3  0x00007fffe56ea165 in _GLOBAL__sub_I_tensor.cc ()
   from /media/gerry/hdd_1/ws_hdd/test_venv/local/lib/python2.7/site-packages/tensorflow/python/../libtensorflow_framework.so
#4  0x00007ffff7de76ba in call_init (l=<optimized out>, argc=argc@entry=2, argv=argv@entry=0x7fffffffd5c8, env=env@entry=0xa7b4d0)
    at dl-init.c:72
#5  0x00007ffff7de77cb in call_init (env=0xa7b4d0, argv=0x7fffffffd5c8, argc=2, l=<optimized out>) at dl-init.c:30
#6  _dl_init (main_map=main_map@entry=0xa11920, argc=2, argv=0x7fffffffd5c8, env=0xa7b4d0) at dl-init.c:120
#7  0x00007ffff7dec8e2 in dl_open_worker (a=a@entry=0x7fffffffb5c0) at dl-open.c:575
#8  0x00007ffff7de7564 in _dl_catch_error (objname=objname@entry=0x7fffffffb5b0, errstring=errstring@entry=0x7fffffffb5b8, 
    mallocedp=mallocedp@entry=0x7fffffffb5af, operate=operate@entry=0x7ffff7dec4d0 <dl_open_worker>, args=args@entry=0x7fffffffb5c0)
    at dl-error.c:187
#9  0x00007ffff7debda9 in _dl_open (
    file=0x7fffea7cbc34 "/media/gerry/hdd_1/ws_hdd/test_venv/local/lib/python2.7/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so", mode=-2147483646, caller_dlopen=0x51ad19 <_PyImport_GetDynLoadFunc+233>, nsid=-2, argc=<optimized out>, argv=<optimized out>, env=0xa7b4d0)
    at dl-open.c:660
#10 0x00007ffff75ecf09 in dlopen_doit (a=a@entry=0x7fffffffb7f0) at dlopen.c:66
#11 0x00007ffff7de7564 in _dl_catch_error (objname=0x9b1870, errstring=0x9b1878, mallocedp=0x9b1868, operate=0x7ffff75eceb0 <dlopen_doit>, 
    args=0x7fffffffb7f0) at dl-error.c:187
#12 0x00007ffff75ed571 in _dlerror_run (operate=operate@entry=0x7ffff75eceb0 <dlopen_doit>, args=args@entry=0x7fffffffb7f0) at dlerror.c:163
#13 0x00007ffff75ecfa1 in __dlopen (file=<optimized out>, mode=<optimized out>) at dlopen.c:87
#14 0x000000000051ad19 in _PyImport_GetDynLoadFunc ()
#15 0x000000000051a8e4 in _PyImport_LoadDynamicModule ()
#16 0x00000000005b7b1b in ?? ()
#17 0x00000000004bc3fa in PyEval_EvalFrameEx ()
#18 0x00000000004c136f in PyEval_EvalFrameEx ()
#19 0x00000000004b9ab6 in PyEval_EvalCodeEx ()
#20 0x00000000004b97a6 in PyEval_EvalCode ()
#21 0x00000000004b96df in PyImport_ExecCodeModuleEx ()
#22 0x00000000004b2b06 in ?? ()
#23 0x00000000004a4ae1 in ?? ()

Answer 1

我会使用旧版本。看起来您的CPU不支持AVX指令。

从发布页面报价

Breaking Changes
Prebuilt binaries are now built against CUDA 9.0 and cuDNN 7.
Prebuilt binaries will use AVX instructions. This may break TF on older CPUs.

您至少有两个选择：

1. 使用tensorflow 1.5或更早版本

2. 从源代码构建

关于差异的担心，您会错过新功能，但是大多数基本功能和文档并没有什么不同。