RPi 上的 Numpy 导入错误“未定义符号：PyFPE_jbuf”

Question

语境

我正在尝试在我的 Raspberry Pi 上安装 TensorFlow，但 numpy 无法正常工作。

我的 RPi 安装是全新的 microSD。 我运行Raspbian巴斯特比其他在这个系统上之前没有做过任何sudo apt update && sudo apt upgrade ，安装python3.5，并尝试安装TensorFlow轮文件使用（的最后一个） python -m pip install <tensorflow>.whl 。

我正在使用干净的 virtualenv 和 pip 来安装 python 包（ pip install ...和python -m pip install ...在 env 中）。 安装没有错误或警告； 事情看起来很好，直到我尝试使用/导入 numpy。

标题中提到的错误如下：

Python 3.5.4 (default, Sep  5 2017, 18:32:10) 
[GCC 7.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/pi/tensorflow/lib/python3.5/site-packages/numpy/__init__.py", line 152, in <module>
    from . import random
  File "/home/pi/tensorflow/lib/python3.5/site-packages/numpy/random/__init__.py", line 181, in <module>
    from . import _pickle
  File "/home/pi/tensorflow/lib/python3.5/site-packages/numpy/random/_pickle.py", line 1, in <module>
    from .mtrand import RandomState
ImportError: /home/pi/tensorflow/lib/python3.5/site-packages/numpy/random/mtrand.cpython-35m-arm-linux-gnueabihf.so: undefined symbol: PyFPE_jbuf

复制

我可以通过使用 python3.5、 pip install numpy或python -m pip ...启动一个干净的 virtualenv 来始终如一地重现这一点，然后尝试像上面一样导入 numpy。

尝试

我看到的与此相关的大多数其他问题都与 cython 安装路径或在计算机上有另一个 numpy 有关，所以这就是我到目前为止所做的：

1. 卸载了pi上默认的numpy安装

2. 安装cython，重新安装numpy

3. 使用pip install --no-cache-dir numpy

笔记

numpy 安装适用于 python3.7 virtualenv

更新

我按照 phd 的评论并尝试从源代码构建（ git clone ... 、 cd numpy 、 python setup.py都在 python3.5 上的 virtualenv 中）。 这导致了相同的丢失符号，尽管在不同的地方。 它看起来与 Cython 相关？

Running from numpy source directory.
Cythonizing sources
Processing numpy/random/bounded_integers.pxd.in
Processing numpy/random/bounded_integers.pyx.in
Traceback (most recent call last):
  File "/usr/lib/python3.5/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.5/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/home/pi/tensorflow/lib/python3.5/site-packages/cython.py", line 17, in <module>
    main(command_line = 1)
  File "/home/pi/tensorflow/lib/python3.5/site-packages/Cython/Compiler/Main.py", line 858, in main
    result = compile(sources, options)
  File "/home/pi/tensorflow/lib/python3.5/site-packages/Cython/Compiler/Main.py", line 780, in compile
    return compile_multiple(source, options)
  File "/home/pi/tensorflow/lib/python3.5/site-packages/Cython/Compiler/Main.py", line 750, in compile_multiple
    context = options.create_context()
  File "/home/pi/tensorflow/lib/python3.5/site-packages/Cython/Compiler/Main.py", line 597, in create_context
    self.cplus, self.language_level, options=self)
  File "/home/pi/tensorflow/lib/python3.5/site-packages/Cython/Compiler/Main.py", line 80, in __init__
    from . import Builtin, CythonScope
  File "/home/pi/tensorflow/lib/python3.5/site-packages/Cython/Compiler/CythonScope.py", line 5, in <module>
    from .UtilityCode import CythonUtilityCode
  File "/home/pi/tensorflow/lib/python3.5/site-packages/Cython/Compiler/UtilityCode.py", line 3, in <module>
    from .TreeFragment import parse_from_strings, StringParseContext
  File "/home/pi/tensorflow/lib/python3.5/site-packages/Cython/Compiler/TreeFragment.py", line 17, in <module>
    from .Visitor import VisitorTransform
  File "Cython/Compiler/Visitor.py", line 17, in init Cython.Compiler.Visitor
  File "/home/pi/tensorflow/lib/python3.5/site-packages/Cython/Compiler/ExprNodes.py", line 4724, in <module>
    class SliceIndexNode(ExprNode):
  File "/home/pi/tensorflow/lib/python3.5/site-packages/Cython/Compiler/ExprNodes.py", line 4922, in SliceIndexNode
    "SliceObject", "ObjectHandling.c", context={'access': 'Get'})
  File "/home/pi/tensorflow/lib/python3.5/site-packages/Cython/Compiler/Code.py", line 404, in load
    return cls(**kwargs)
  File "/home/pi/tensorflow/lib/python3.5/site-packages/Cython/Compiler/Code.py", line 648, in __init__
    proto = sub_tempita(proto, context, file, name)
  File "/home/pi/tensorflow/lib/python3.5/site-packages/Cython/Compiler/Code.py", line 640, in sub_tempita
    from ..Tempita import sub
  File "/home/pi/tensorflow/lib/python3.5/site-packages/Cython/Tempita/__init__.py", line 4, in <module>
    from ._tempita import *
ImportError: /home/pi/tensorflow/lib/python3.5/site-packages/Cython/Tempita/_tempita.cpython-35m-arm-linux-gnueabihf.so: undefined symbol: PyFPE_jbuf

在此之后，它只是告诉我在 setup.py 中运行 cythonize 失败。

Answer 1

您需要从源代码编译numpy 。 获取numpy 1.18.5 ：

wget https://github.com/numpy/numpy/archive/refs/tags/v1.18.5.tar.gz

卸载当前Python 3.5的numpy并安装cython模块：

pip3.5 uninstall numpy
pip3.5 install cython==0.29.22

将目录更改为numpy 1.18.5的源代码，安装它：

python3.5 setup.py install

完成后，您的代码将能够成功运行import numpy