由于Windows的Tensorflow 1.0.1版本中仍然存在bug我安装了最新的每晚构建张量流cpu
不幸的是，对于这个版本，现在内核由于其他原因崩溃了，我收到了这个错误：
Warning! ***HDF5 library version mismatched error***
The HDF5 header files used to compile this application do not match
the version used by the HDF5 library to which this application is linked.
Data corruption or segmentation faults may occur if the application continues.
This can happen when an application was compiled by one version of HDF5 but
linked with a different version of static or shared HDF5 library.
You should recompile the application or check your shared library related
settings such as 'LD_LIBRARY_PATH'.
You can, at your own risk, disable this warning by setting the environment
variable 'HDF5_DISABLE_VERSION_CHECK' to a value of '1'.
Headers are 1.8.15, library is 1.8.18
SUMMARY OF THE HDF5 CONFIGURATION
=================================
General Information:
-------------------
HDF5 Version: 1.8.18
Configured on: 2017-03-06
Configured by: Visual Studio 14 2015 Win64
Configure mode: CMAKE 3.7.2
Host system: Windows-10.0.14393
Uname information: Windows
Byte sex: little-endian
Libraries:
Installation point: C:/Program Files/HDF5
Compiling Options:
------------------
Compilation Mode:
C Compiler: C:/Program Files (x86)/Microsoft Visual Studio 14.0/VC/bin/x86_amd64/cl.exe
CFLAGS: /DWIN32 /D_WINDOWS /W3
H5_CFLAGS:
AM_CFLAGS:
CPPFLAGS:
H5_CPPFLAGS:
AM_CPPFLAGS:
Shared C Library: YES
Static C Library: YES
Statically Linked Executables: OFF
LDFLAGS: /machine:x64
AM_LDFLAGS:
Extra libraries: X:inclib-vc14-x64/zlib.lib;X:/inclib-vc14-x64/libsz.lib;X:/inclib-vc14-x64/libaec.lib
Archiver:
Ranlib:
Debugged Packages:
API Tracing: OFF
Languages:
----------
Fortran: OFF
Fortran Compiler:
Fortran 2003 Compiler:
Fortran Flags:
H5 Fortran Flags:
AM Fortran Flags:
Shared Fortran Library: YES
Static Fortran Library: YES
C++: ON
C++ Compiler: C:/Program Files (x86)/Microsoft Visual Studio 14.0/VC/bin/x86_amd64/cl.exe
C++ Flags: /DWIN32 /D_WINDOWS /W3 /GR /EHsc
H5 C++ Flags:
AM C++ Flags:
Shared C++ Library: YES
Static C++ Library: YES
Features:
---------
Parallel HDF5: OFF
High Level library: ON
Threadsafety: OFF
Default API Mapping: v18
With Deprecated Public Symbols: ON
I/O filters (external): DEFLATE DECODE ENCODE
MPE:
Direct VFD:
dmalloc:
Clear file buffers before write: ON
Using memory checker: OFF
Function Stack Tracing: OFF
Strict File Format Checks: OFF
脚本崩溃whentf.contrib.layers.convolution2d被调用
我正在使用Windows 10 x64，并且已经安装了为其他库发布的所有可用更新
这里是我的设置包的列表
alabaster (0.7.10)
anaconda-clean (1.0)
anaconda-client (1.6.2)
anaconda-navigator (1.5)
anaconda-project (0.4.1)
appdirs (1.4.3)
argcomplete (1.8.2)
asn1crypto (0.22.0)
astroid (1.4.9)
astropy (1.3.1)
Babel (2.3.4)
backports.shutil-get-terminal-size (1.0.0)
beautifulsoup4 (4.5.3)
bitarray (0.8.1)
blaze (0.10.1)
bleach (2.0.0)
bokeh (0.12.4)
boto (2.46.1)
Bottleneck (1.2.0)
cffi (1.10.0)
chardet (2.3.0)
chest (0.2.3)
click (6.7)
cloudpickle (0.2.2)
clyent (1.2.2)
colorama (0.3.7)
comtypes (1.1.3)
conda (4.3.14)
conda-build (2.1.7)
conda-verify (2.0.0)
configobj (5.0.6)
contextlib2 (0.5.4)
cryptography (1.8.1)
cycler (0.10.0)
Cython (0.25.2)
cytoolz (0.8.2)
dask (0.14.1)
datashape (0.5.4)
decorator (4.0.11)
dill (0.2.6)
docutils (0.13.1)
dynd (c328ab7)
entrypoints (0.2.2)
et-xmlfile (1.0.1)
fastcache (1.0.2)
filelock (2.0.7)
Flask (0.12)
Flask-Cors (3.0.2)
gevent (1.2.1)
glue-core (0.10.1)
glue-vispy-viewers (0.7.2)
glueviz (0.10.1)
greenlet (0.4.12)
h5py (2.7.0)
HeapDict (1.0.0)
html5lib (0.999999999)
idna (2.5)
imagesize (0.7.1)
ipykernel (4.5.2)
ipython (5.3.0)
ipython-genutils (0.2.0)
ipywidgets (6.0.0)
isort (4.2.5)
itsdangerous (0.24)
jdcal (1.3)
jedi (0.10.0)
Jinja2 (2.9.5)
jsonschema (2.6.0)
jupyter (1.0.0)
jupyter-client (5.0.0)
jupyter-console (5.1.0)
jupyter-core (4.3.0)
lazy-object-proxy (1.2.2)
llvmlite (0.16.0)
locket (0.2.0)
lxml (3.7.3)
MarkupSafe (1.0)
matplotlib (2.0.0)
mccabe (0.6.1)
menuinst (1.4.4)
mistune (0.7.4)
mpmath (0.19)
multipledispatch (0.4.9)
nb-anacondacloud (1.2.0)
nb-conda (2.0.0)
nb-conda-kernels (2.0.0)
nbconvert (5.1.1)
nbformat (4.3.0)
nbpresent (3.0.2)
networkx (1.11)
nltk (3.2.2)
nose (1.3.7)
notebook (4.4.1)
numba (0.31.0)
numexpr (2.6.2)
numpy (1.12.1)
numpydoc (0.6.0)
odo (0.5.0)
olefile (0.44)
opencv-python (3.2.0.6)
openpyxl (2.4.5)
packaging (16.8)
pandas (0.19.2)
pandocfilters (1.4.1)
partd (0.3.7)
path.py (10.1)
pathlib2 (2.2.1)
patsy (0.4.1)
pep8 (1.7.0)
pickleshare (0.7.4)
Pillow (4.0.0)
pip (9.0.1)
pkginfo (1.4.1)
ply (3.10)
prompt-toolkit (1.0.13)
protobuf (3.2.0)
psutil (5.2.0)
py (1.4.33)
pyasn1 (0.2.3)
pycosat (0.6.2)
pycparser (2.17)
pycrypto (2.6.1)
pycurl (7.43.0)
pyflakes (1.5.0)
Pygments (2.2.0)
pylint (1.6.5)
PyOpenGL (3.1.0)
pyOpenSSL (16.2.0)
pyparsing (2.2.0)
pyreadline (2.1)
pytest (3.0.7)
python-dateutil (2.6.0)
pytz (2016.10)
pywin32 (220)
PyYAML (3.12)
pyzmq (16.0.2)
QtAwesome (0.4.4)
qtconsole (4.2.1)
QtPy (1.2.1)
requests (2.13.0)
rope-py3k (0.9.4.post1)
scikit-image (0.12.3)
scikit-learn (0.18.1)
scipy (0.19.0)
seaborn (0.7.1)
setuptools (34.3.2)
simplegeneric (0.8.1)
singledispatch (3.4.0.3)
six (1.10.0)
snowballstemmer (1.2.1)
sockjs-tornado (1.0.3)
Sphinx (1.5.3)
spyder (3.1.3)
SQLAlchemy (1.1.6)
statsmodels (0.8.0)
sympy (1.0)
tables (3.3.0)
tensorflow (1.0.1)
testpath (0.3)
toolz (0.8.2)
tornado (4.4.2)
traitlets (4.3.2)
unicodecsv (0.14.1)
wcwidth (0.1.7)
webencodings (0.5)
Werkzeug (0.12.1)
wheel (0.29.0)
widgetsnbextension (2.0.0)
win-unicode-console (0.5)
wrapt (1.10.10)
xlrd (1.0.0)
XlsxWriter (0.9.6)
xlwings (0.10.4)
xlwt (1.2.0)
答案 0 :(得分：3)
您在 conda环境中安装了1.18.15 hdf5库，Tensorflow的某些依赖项具有较新的hdf5 1.8.18标头文件。
尝试将 conda hdf5库更新到更新的1.8.18，或者使用命令：
set HDF5_DISABLE_VERSION_CHECK=2
这应禁用警告但不提供正确执行的保证，因此将hdf5库更新为相同版本1.8.18会更好。
答案 1 :(得分：0)
我遇到了类似的错误消息，例如：
Headers are 1.10.3, library is 1.10.4
尝试通过运行以下命令在R中安装“ rhd5”时：
BiocManager::install("rhdf5")
我通过在外壳中设置环境变量“ HDF5_DISABLE_VERSION_CHECK”解决了该问题：
export HDF5_DISABLE_VERSION_CHECK=1
然后再次进入R并继续安装rhdf5。