最近我尝试在https://www.youtube.com/watch?v=tPq6NIboLSc此视频之后安装tensorflow-gpu>
但是当我尝试导入tensorflow(或keras)时,我的内核死了,并给出以下错误消息。
用于编译此应用程序的HDF5头文件不匹配该应用程序链接到的HDF5库使用的版本。如果应用程序继续,则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编译时会发生这种情况,但是与其他版本的静态或共享HDF5库链接。您应该重新编译应用程序或检查与您的共享库相关的设置,例如“ LD_LIBRARY_PATH”。您可以自行承担风险,通过设置环境来禁用此警告变量“ HDF5_DISABLE_VERSION_CHECK”的值设置为“ 1”。设置为2或更高将完全抑制警告消息。标头为1.10.4,库为1.10.5HDF5配置摘要================================C:\Users\ovin\Anaconda3\envs\GPU\lib\site-packages\h5py\__init__.py:40: UserWarning: h5py is running against HDF5 1.10.5 when it was built against 1.10.4, this may cause problems
'{0}。{1}。{2}'。format(* version.hdf5_built_version_tuple)警告! HDF5库版本不匹配错误
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
Build Mode:
Debugging Symbols:
Asserts:
Profiling:
Optimization Level:
Libraries:
静态链接的可执行文件:OFFLDFLAGS:/ machine:x64H5_LDFLAGS:AM_LDFLAGS:额外的库:封存者:Ranlib:
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:
Parallel HDF5: OFF
并行过滤的数据集写道:大型并行I / O:高级库:开线程安全:关闭默认API映射:v110带有已弃用的公共符号:开I / O过滤器(外部):DEFLATE DECODE ENCODEMPE:直接VFD:dmalloc:带有额外调试输出的软件包:API追踪:关闭使用内存检查器:OFF内存分配完整性检查:OFF功能堆栈跟踪:关闭严格的文件格式检查:OFF优化工具:再见...
已经尝试过的东西,
最近我尝试在https://www.youtube.com/watch?v=tPq6NIboLSc之后安装tensorflow-gpu此视频,但是当我尝试导入tensorflow(或keras)时,我的内核死于以下错误...] >
conda install -c conda-forge hdf5=1.10.5