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Do NOT report bugs when a package is just outdated, or it is in the AUR. Use the 'flag out of date' link on the package page, or the Mailing List.
REPEAT: Do NOT report bugs for outdated packages!
FS#60551 - [tensorflow] Rebuild with HDF5 1.10.4
Attached to Project:
Community Packages
Opened by Benjamin Murauer (bmurauer) - Tuesday, 23 October 2018, 09:43 GMT
Last edited by Eli Schwartz (eschwartz) - Tuesday, 23 October 2018, 16:31 GMT
Opened by Benjamin Murauer (bmurauer) - Tuesday, 23 October 2018, 09:43 GMT
Last edited by Eli Schwartz (eschwartz) - Tuesday, 23 October 2018, 16:31 GMT
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DetailsDescription:
tensorflow is built against an older (< 1.10.4) version of hdf5. Additional info: tensorflow version = 1.11.0-2 is compiled with hdf5 version 1.10.3 hdf5 installed version = 1.10.4 Steps to reproduce: Python 3.7.1 (default, Oct 22 2018, 10:41:28) [GCC 8.2.1 20180831] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import tensorflow 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 1.10.3, library is 1.10.4 SUMMARY OF THE HDF5 CONFIGURATION ================================= General Information: ------------------- HDF5 Version: 1.10.4 Configured on: Mon Oct 22 13:04:04 CEST 2018 Configured by: builduser@ Host system: x86_64-unknown-linux-gnu Uname information: Linux archange 4.18.14-arch1-1-ARCH #1 SMP PREEMPT Sat Oct 13 13:42:37 UTC 2018 x86_64 GNU/Linux Byte sex: little-endian Installation point: /usr Compiling Options: ------------------ Build Mode: production Debugging Symbols: no Asserts: no Profiling: no Optimization Level: high Linking Options: ---------------- Libraries: static, shared Statically Linked Executables: LDFLAGS: -Wl,-O1,--sort-common,--as-needed,-z,relro,-z,now H5_LDFLAGS: AM_LDFLAGS: Extra libraries: -lsz -lz -ldl -lm Archiver: ar AR_FLAGS: cr Ranlib: ranlib Languages: ---------- C: yes C Compiler: /usr/bin/gcc ( gcc (GCC) 8.2.1 20180831) CPPFLAGS: -D_FORTIFY_SOURCE=2 H5_CPPFLAGS: -D_GNU_SOURCE -D_POSIX_C_SOURCE=200112L -DNDEBUG -UH5_DEBUG_API AM_CPPFLAGS: C Flags: -march=x86-64 -mtune=generic -O2 -pipe -fstack-protector-strong -fno-plt H5 C Flags: -std=c99 -pedantic -Wall -Wextra -Wbad-function-cast -Wc++-compat -Wcast-align -Wcast-qual -Wconversion -Wdeclaration-after-statement -Wdisabled-optimization -Wfloat-equal -Wformat=2 -Winit-self -Winvalid-pch -Wmissing-declarations -Wmissing-include-dirs -Wmissing-prototypes -Wnested-externs -Wold-style-definition -Wpacked -Wpointer-arith -Wredundant-decls -Wshadow -Wstrict-prototypes -Wswitch-default -Wswitch-enum -Wundef -Wunused-macros -Wunsafe-loop-optimizations -Wwrite-strings -finline-functions -s -Wno-inline -Wno-aggregate-return -Wno-missing-format-attribute -Wno-missing-noreturn -O AM C Flags: Shared C Library: yes Static C Library: yes Fortran: yes Fortran Compiler: /usr/bin/gfortran ( GNU Fortran (GCC) 8.2.1 20180831) Fortran Flags: H5 Fortran Flags: -pedantic -Wall -Wextra -Wunderflow -Wimplicit-interface -Wsurprising -Wno-c-binding-type -s -O2 AM Fortran Flags: Shared Fortran Library: yes Static Fortran Library: yes C++: yes C++ Compiler: /usr/bin/g++ ( g++ (GCC) 8.2.1 20180831) C++ Flags: -march=x86-64 -mtune=generic -O2 -pipe -fstack-protector-strong -fno-plt H5 C++ Flags: -pedantic -Wall -W -Wundef -Wshadow -Wpointer-arith -Wcast-qual -Wcast-align -Wwrite-strings -Wconversion -Wredundant-decls -Winline -Wsign-promo -Woverloaded-virtual -Wold-style-cast -Weffc++ -Wreorder -Wnon-virtual-dtor -Wctor-dtor-privacy -Wabi -finline-functions -s -O AM C++ Flags: Shared C++ Library: yes Static C++ Library: yes Java: no Features: --------- Parallel HDF5: no Parallel Filtered Dataset Writes: no Large Parallel I/O: no High-level library: yes Threadsafety: no Default API mapping: v110 With deprecated public symbols: yes I/O filters (external): deflate(zlib),szip(encoder) MPE: no Direct VFD: no dmalloc: no Packages w/ extra debug output: none API tracing: no Using memory checker: no Memory allocation sanity checks: no Metadata trace file: no Function stack tracing: no Strict file format checks: no Optimization instrumentation: no Bye... |
This task depends upon
Closed by Eli Schwartz (eschwartz)
Tuesday, 23 October 2018, 16:31 GMT
Reason for closing: Duplicate
Additional comments about closing: FS#60546
Tuesday, 23 October 2018, 16:31 GMT
Reason for closing: Duplicate
Additional comments about closing:
Comment by Eli Schwartz (eschwartz) -
Tuesday, 23 October 2018, 16:30 GMT
That's not tensorflow you're using, that's python-tensorflow. And it doesn't link to hdf5, it does depend on python-h5py though, which is where the issue is.