hdf5 和 tensorflow 错误以及 python 3.7

error with hdf5 and tensorflow and python 3.7

当我导入 tflearn 或 tensorflow 时出现这个大错误我已经尝试通过执行 conda install -c anaconda hdf5=1.8.15 和此堆栈溢出网页上的所有说明来安装和卸载 HDF5 我的 python 是 3.7 而 IDE 是 syder

这是错误

{0}.{1}.{2}'.format(*version.hdf5_built_version_tuple)
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'.
Setting it to 2 or higher will suppress the warning messages totally.
Headers are 1.10.4, library is 1.10.5
        SUMMARY OF THE HDF5 CONFIGURATION
        =================================

General Information:
-------------------
                   HDF5 Version: 1.10.5
                  Configured on: 2019-03-04
                  Configured by: Visual Studio 15 2017 Win64
                    Host system: Windows-10.0.17763
              Uname information: Windows
                       Byte sex: little-endian
             Installation point: C:/Program Files/HDF5

Compiling Options:
------------------
                     Build Mode:
              Debugging Symbols:
                        Asserts:
                      Profiling:
             Optimization Level:

Linking Options:
----------------
                      Libraries:
  Statically Linked Executables: OFF
                        LDFLAGS: /machine:x64
                     H5_LDFLAGS:
                     AM_LDFLAGS:
                Extra libraries:
                       Archiver:
                         Ranlib:

Languages:
----------
                              C: yes
                     C Compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe 19.16.27027.1
                       CPPFLAGS:
                    H5_CPPFLAGS:
                    AM_CPPFLAGS:
                         CFLAGS:  /DWIN32 /D_WINDOWS /W3
                      H5_CFLAGS:
                      AM_CFLAGS:
               Shared C Library: YES
               Static C Library: YES

                        Fortran: OFF
               Fortran 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/2017/Community/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe 19.16.27027.1
                      C++ Flags: /DWIN32 /D_WINDOWS /W3 /GR /EHsc
                   H5 C++ Flags:
                   AM C++ Flags:
             Shared C++ Library: YES
             Static C++ Library: YES

                            JAVA: OFF
                   JAVA Compiler:

Features:
---------
                   Parallel HDF5: OFF
Parallel Filtered Dataset Writes:
              Large Parallel I/O:
              High-level library: ON
                    Threadsafety: OFF
             Default API mapping: v110
  With deprecated public symbols: ON
          I/O filters (external):  DEFLATE DECODE ENCODE
                             MPE:
                      Direct VFD:
                         dmalloc:


     Packages w/ extra debug output:


    API Tracing: OFF
            Using memory checker: OFF
 Memory allocation sanity checks: OFF
          Function Stack Tracing: OFF
       Strict File Format Checks: OFF
    Optimization Instrumentation:
Bye...

感谢您的帮助,我喜欢这个说再见的错误 :-) 即使它是 烦人

为了社区的利益,即使它出现在评论部分,也在此(回答部分)提供解决方案。

HDF5 library version mismatched error 已通过以下代码解决

pip install h5py --upgrade --no-dependencies --force