我试着进口tensorflow中的py魅力,我得到了这样的信息:
C:\Users\Public\anaconda\anaconda3\envs\tensor\pythonw.exe C:\Users\Public\anaconda\anaconda3\envs\tensor\lib\site-packages\h5py__init__.py:40: UserWarning: h5py是针对1.10.4构建的,它针对HDF5 1.10.5运行'{0}.{1}.{2}'.format(*version.hdf5_built_version_tuple)警告!HDF5库版本错配错误用于编译此应用程序的HDF5头文件与链接该应用程序的HDF5库使用的版本不匹配。如果应用程序继续运行,可能会发生数据损坏或分段错误。当应用程序由一个版本的HDF5编译,但与不同版本的静态或共享HDF5库链接时,就会发生这种情况。您应该重新编译应用程序,或者检查与共享库相关的设置,例如'LD_ library _PATH‘。您可以通过将环境变量“HDF5_DISABLE_VERSION_CHECK”设置为'1‘来禁用此警告。将其设置为2或更高将完全抑制警告消息。标头是1.10.4,库是HDF5配置=================================的1.10.5摘要
一般资料:
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汇编备选方案:
Build Mode:
Debugging Symbols:
Asserts:
Profiling:
Optimization Level: 连接选项:
Libraries:
Statically Linked Executables: OFF
LDFLAGS: /machine:x64
H5_LDFLAGS:
AM_LDFLAGS:
Extra libraries:
Archiver:
Ranlib: 语言:
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: 功能:
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...发布于 2020-12-15 15:50:37
请按以下方式安装h5py
pip install h5py --upgrade --no-dependencies --forcehttps://stackoverflow.com/questions/60947150
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