RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility

本文介绍了在安装TensorFlow过程中因Numpy版本不匹配导致的问题及解决办法。通过将Numpy版本回退到1.14.5成功解决了二进制兼容性问题。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

安装Numpy遇到问题解决

1. 问题描述

  在安装tensorflow的过程中import tensorflow出现了如下问题

/usr/local/lib/python2.7/dist-packages/scipy/sparse/lil.py:19: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from . import _csparsetools
/usr/local/lib/python2.7/dist-packages/scipy/sparse/csgraph/__init__.py:165: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from ._shortest_path import shortest_path, floyd_warshall, dijkstra,\
/usr/local/lib/python2.7/dist-packages/scipy/sparse/csgraph/_validation.py:5: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from ._tools import csgraph_to_dense, csgraph_from_dense,\
/usr/local/lib/python2.7/dist-packages/scipy/sparse/csgraph/__init__.py:167: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from ._traversal import breadth_first_order, depth_first_order, \
/usr/local/lib/python2.7/dist-packages/scipy/sparse/csgraph/__init__.py:169: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from ._min_spanning_tree import minimum_spanning_tree
/usr/local/lib/python2.7/dist-packages/scipy/sparse/csgraph/__init__.py:170: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from ._reordering import reverse_cuthill_mckee, maximum_bipartite_matching, \
/usr/local/lib/python2.7/dist-packages/scipy/linalg/basic.py:17: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from ._solve_toeplitz import levinson
/usr/local/lib/python2.7/dist-packages/scipy/linalg/__init__.py:207: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from ._decomp_update import *
/usr/local/lib/python2.7/dist-packages/scipy/special/__init__.py:640: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from ._ufuncs import *
/usr/local/lib/python2.7/dist-packages/scipy/special/_ellip_harm.py:7: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from ._ellip_harm_2 import _ellipsoid, _ellipsoid_norm
/usr/local/lib/python2.7/dist-packages/scipy/interpolate/_bsplines.py:10: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from . import _bspl
/usr/local/lib/python2.7/dist-packages/scipy/spatial/__init__.py:95: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from .ckdtree import *
/usr/local/lib/python2.7/dist-packages/scipy/spatial/__init__.py:96: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from .qhull import *
/usr/local/lib/python2.7/dist-packages/scipy/spatial/_spherical_voronoi.py:18: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from . import _voronoi
/usr/local/lib/python2.7/dist-packages/scipy/spatial/distance.py:122: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from . import _hausdorff
/usr/local/lib/python2.7/dist-packages/scipy/ndimage/measurements.py:36: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from . import _ni_label

2. 分析问题

  在上面的报错中可以看到,问题主要集中在两个部分,一个部分是scipy,另一个部分是numpy。通过下载重装scipy并没有解决问题,而且如下图所示,在 PyPIscipy最近并没有更新
这里写图片描述

  因此需要考虑是否是numpy造成的问题,在 PyPI 上看到
这里写图片描述
看到在22小时之前刚刚发布了新的版本(1.15.0rc1),然后又查了一下自己的版本,果然就是这版

3. 总结原因

  所以造成这个问题产生的原因很简单,就是各种库之间的版本不匹配,只需要把numpy的版本降到1.14.5就可以了

4. 具体操作

sudo pip uninstall numpy
sudo pip install numpy==1.14.5

问题完美解决!
如果有解决你的问题,记得点赞评论哦~~~~o( ̄▽ ̄)ブ

usr/lib/python3/dist-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 2.2.4 warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}" Traceback (most recent call last): File "/home/gyh/.local/lib/python3.10/site-packages/evo/entry_points.py", line 95, in launch main_module.run(args) File "/home/gyh/.local/lib/python3.10/site-packages/evo/main_traj.py", line 181, in run import evo.core.lie_algebra as lie File "/home/gyh/.local/lib/python3.10/site-packages/evo/core/lie_algebra.py", line 25, in <module> import scipy.spatial.transform as sst File "/usr/lib/python3/dist-packages/scipy/spatial/__init__.py", line 102, in <module> from ._kdtree import * File "/usr/lib/python3/dist-packages/scipy/spatial/_kdtree.py", line 5, in <module> from ._ckdtree import cKDTree, cKDTreeNode File "_ckdtree.pyx", line 1, in init scipy.spatial._ckdtree ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject /usr/lib/python3/dist-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 2.2.4 warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}" Traceback (most recent call last): File "/home/gyh/.local/bin/evo_ape", line 8, in <module> sys.exit(ape()) File "/home/gyh/.local/lib/python3.10/site-packages/evo/entry_points.py", line 51, in ape handle_entry_point("ape") File "/home/gyh/.local/lib/python3.10/site-packages/evo/entry_points.py", line 46, in handle_entry_point main_module = import_module(f"evo.main_{app_name}") File "/usr/lib/python3.10/importlib/__init__.py", line 126, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "<frozen importlib._bootstrap>", line 1050, in _gcd_import File "<frozen importlib._bootstrap>", line 1027,
03-30
评论 21
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值