tensorflow-gnu-openmpi2-hpc-1.15.4-bp153.1.78 >  A `P!M@eee Xe?}?Ir){}Lܽd4 0n=!=Hn⧓bZKI&mO>p@/?/d% 0 jx| 2Plr|     4<&(J8T39 3: 3B,_F,{G,H,I,X,Y,Z,[,\,],^-*b-xc.d.e.f.l.u.v.z../////Ctensorflow-gnu-openmpi2-hpc1.15.4bp153.1.78Dependency package for tensorflow_1_15_4-gnu-openmpi2-hpctensorflow: A framework used for deep learning The package tensorflow-gnu-openmpi2-hpc provides the dependency to get binary package tensorflow_1_15_4-gnu-openmpi2-hpc. When this package gets updated it installs the latest version of tensorflow_1_15_4-gnu-openmpi2-hpc.`.obs-arm-7SUSE Linux Enterprise 15 SP3openSUSEApache-2.0 AND BSD-2-Clause AND BSD-3-Clause AND FSFUL AND MIT AND MPL-2.0 AND OpenSSL AND Python-2.0https://bugs.opensuse.orgProductivity/Scientific/Otherhttps://www.tensorflow.org/linuxaarch64A큤`*`*5955c5bec4551d2b80e79d201d140c75338eb0c3f9ceb30efefb695abc8daf74rootrootrootroottensorflow_1_15_4-gnu-openmpi2-hpc-1.15.4-bp153.1.78.src.rpmtensorflow-gnu-openmpi2-hpctensorflow-gnu-openmpi2-hpc(aarch-64)     /bin/shrpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsXz)tensorflow_1_15_4-gnu-openmpi2-hpc3.0.4-14.6.0-14.0-15.2-11.15.44.14.1_9_V _>e_3^W@^@^^|@^p^oj@^j$@^h^E:@^E:@^9\^8 @^4^^@^@^ @]}@]@]]]V]]]>]/ ]#0@\]@\t@\@\@\\\\\@\b@\ac\R@\A\8@[@[=@[%@[u[ZN@Guillaume GARDET Guillaume GARDET Martin Liška Matej Cepl Sumit Jamgade Christian Goll Christian Goll Christian Goll Simon Lees Christian Goll Christian Goll Christian Goll Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Dominique Leuenberger Bernhard Wiedemann Guillaume GARDET Guillaume GARDET Guillaume GARDET Christian Goll Christian Goll Christian Goll guillaume.gardet@opensuse.orgChristian Goll Christian Goll Christian Goll Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Christian Goll Guillaume GARDET Guillaume GARDET Christian Goll Adrian Schröter cgoll@suse.comChristian Goll Bernhard Wiedemann Guillaume GARDET Guillaume GARDET Todd R Todd R cgoll@suse.comJan Engelhardt cgoll@suse.comcgoll@suse.com- Update to 1.15.4: * Fixes an undefined behavior causing a segfault in tf.raw_ops.Switch (CVE-2020-15190) * Fixes three vulnerabilities in conversion to DLPack format (CVE-2020-15191, CVE-2020-15192, CVE-2020-15193) * Fixes two vulnerabilities in SparseFillEmptyRowsGrad (CVE-2020-15194, CVE-2020-15195) * Fixes an integer truncation vulnerability in code using the work sharder API (CVE-2020-15202) * Fixes a format string vulnerability in tf.strings.as_string (CVE-2020-15203) * Fixes segfault raised by calling session-only ops in eager mode (CVE-2020-15204) * Fixes data leak and potential ASLR violation from tf.raw_ops.StringNGrams (CVE-2020-15205) * Fixes segfaults caused by incomplete SavedModel validation (CVE-2020-15206) * Fixes a data corruption due to a bug in negative indexing support in TFLite (CVE-2020-15207) * Fixes a data corruption due to dimension mismatch in TFLite (CVE-2020-15208) * Fixes several vulnerabilities in TFLite saved model format (CVE-2020-15209, CVE-2020-15210, CVE-2020-15211) * Updates sqlite3 to 3.33.00 to handle CVE-2020-9327, CVE-2020-11655, CVE-2020-11656, CVE-2020-13434, CVE-2020-13435, CVE-2020-13630, CVE-2020-13631, CVE-2020-13871, and CVE-2020-15358. * Fixes #41630 by including max_seq_length in CuDNN descriptor cache key * Pins numpy to 1.18.5 to prevent ABI breakage when compiling code that uses both NumPy and TensorFlow headers.- Package header files for Tensoflow Lite - boo#1175099- Use memoryperjob constraint instead of %limit_build macro. - Use only 1300MB for memoryperjob.- Replace pypi.python.org Source URL with the canonical files.pythonhosted.org- update spec file to link ccache correctly for bazel builds.- updated to bug fix release 1.15.3- fixed broken builds which were caused due to missing dependency on @com_google_absl//absl/strings in various BUILD files - added patch: fix-google-absl-memory.patch- removed hpc-mvapich2 build (bsc#1167735)- Suppress library-without-ldconfig-* in rpmlintrc as it seems intentional and is currently causing builds to fail- fixed mpi and hpc builds, added file * fix-mpi-build.patch- Fixed python3.8 build and logging with the the two patches * Fix-build-failures-for-python-3.8.patch which fixes the build * Fix-TensorFlow-on-Python-3.8-logger-issue.patch which fixes the logging- updated to latest stable v1 version 1.15.2 which fixes CVE-2019-16778 (bsc#1159338) - Highlights of this version are: * MKL-DNN contraction kernels on by default * Fixes a security vulnerability where converting a Python string to a tf.float16 value produces a segmentation fault (CVE-2020-5215) see RELEASE.md for full changelog - updated following sources: * tensorflow-1.15.2.tar.gz * bazel-toolchains.tar.gz * eigen.tar.gz * gemmlowp.zip * google-cloud-cpp.tar.gz * license.rst.txt * rules_closure.tar.gz - added following patches: * removed-docker-tools.patch to remove docker build during package build * right-json-location.patch to make syslibs point to json * tensorflow-make_aws_sdk_work_on_aarch64.patch * fix-lite.patch * json-feature-name.patch - removed follwing sources * abseil-pypi-v0.2.2.tar.gz * aws-sdk-cpp-1.3.15.tar.gz * boring_ssl.tar.gz * double_conversion.zip * fft.tgz * flatbuffers_v1.9.0.tar.gz * gast-0.2.0.tar.gz * google-flatbuffers-1.10.0~pre.tar.gz * google-nsync-1.20.1.tar.gz * python-license.txt * unicode-org-icu.tar.gz - removed following patches: * fix_mvapich_mpi_bzl.patch * grpc-namespace-corrections.patch * remove-keras.patch * tensorflow-fix_lite.patch * support-new-bazel.patch- Add 'Provides' only for hpc flavors, otherwise it matches the package name- Add provides/conflicts to avoid to install tensorflow and tensorflow2 as some files are provided by both packages- Increase RAM requirements and limit_build value to avoid OOM- Apply grpc-namespace-corrections.patch for all flavors since Leap 15.2 now requires it as well.- Fix ARM_NEON_2_x86_SSE-master.zip archive- Build TensorFlow Lite (only) for %arm- ExcludeArch %arm since build fails due to no support for aws- ExcludeArch %ix86: bazel is required to build, which in turn is not supported on ix86.- Use pip install --no-compile (boo#1094323)- Increase a bit %limit_build to avoid OOM errors seen on x86_64- Generate and package protobuf files (for armNN)- Apply grpc-namespace-corrections.patch for Tumbleweed only- updated to tensorflow 0.13.2 - dropped grpc.tar.gz and grpc-v1.13.0.gz as system grpc is used, this fixes the broken builds which were introduced with gcc9 (bsc#1152671) * added grpc-namespace-corrections.patch in order to use system grpc - dropped re2-2018-10-01.tar.gz as system re2 is used now- added remove-keras.patch which removes keras sources and uses distribution keras libaries * removed keras-applications-1.0.6.tar.gz * removed keras-preprocessing-1.0.9.tar.gz- using now system protobuf instead of building it (bsc#1151150)- Ajust %limit_build to avoid OOM errors - Do not use %limit_build for lite flavor- added additonal dependencies- fixed installation location of shared library- removed bazel mirror from as much source links as possible - added support-new-bazel.patch support newer upcoming bazel versions- Fix build for lite flavor: * tensorflow-fix_lite.patch- Call ldconfig for devel package in post/postun- Fix aarch64 build with upstream patch: * tensorflow-make_aws_sdk_work_on_aarch64.patch- Add Lite flavor- updated to 1.13.1 fixes boo#1133490- Update _constraints to avoid OOM errors- Build and package libtensorflow_cc and libtensorflow_framework- added fix_mvapich_mpi_bzl.patch which fixes detection of mvapich2 mpi library - fixed python3 build- update to version 1.13.1 * Major Features and Improvements * TensorFlow Lite has moved from contrib to core. This means that Python modules are under tf.lite and source code is now under tensorflow/lite rather than tensorflow/contrib/lite. * TensorFlow GPU binaries are now built against CUDA 10 and TensorRT 5.0. * Support for Python3.7 on all operating systems. * Moved NCCL to core. - drop merged patch mpilibpath_configure_py.patch - drop obsolete pyton3.7 patches - disabled jemalloc for now- enabled aws and googlecloud support * removed no_aws_and_googlecloud.patch- Fixed build issues with python 3.7 what introduced the patches * python3_7_compatibility.patch backported from upstream * python3.7_unicode.patch fixes a minor function call * python3.7_async_keyword.patch avoids the new keyword async- Fix build with python 3.7- Build and package libtensorflow.so as some packages may link to it- Add constraints on HDD size to avoid no space-left error- Fix python3 provides - Minor spec file cleanups- Provide python3-tensorflow- updated build command to fit bazel-0.19- Trim pad wording from descriptions.- Updated to Tensorflow 1.10 as with this release it supports the partial use of systemlibs. Still a lot additional sources are included which are * closure * weakref * double-conversion * gast * farmhash * nsync * gemmlowp * abseil-cpp * boring-ssl * google-apis * cub * highwayhash * abseil-pypi * eigen * arm_neon_x86_sse * fft * grpc * re2 Although some of these libraries are available in factory they could not be used as explicit versions are needed or bazel or the build system links them in the wrong way. - mpilibpath_configure_py.patch changes the search path for the mpi to also include lib64/ - no_aws_and_googlecloud.patch removes the dependence of aws, googlecloud and kafaka apis, as this version is not compiled with the support of this apis.- Initial commit of Tensorflow 1.4 not all requirement could be met by the distribution packages and the sources have to be included. This is true for - Eigen - protobuf - grpc - lmdb - json-cpp The build itself is now based on bazel and creates the pip package which is then extracted from the build environmenttensorflow-gnu-openmpi2-hpcobs-arm-7 16214057421.15.4-bp153.1.781.15.4-bp153.1.781.15.4tensorflow-gnu-openmpi2-hpcREADME.tensorflow_1_15_4-gnu-openmpi2-hpc/usr/share/doc/packages//usr/share/doc/packages/tensorflow-gnu-openmpi2-hpc/-fmessage-length=0 -grecord-gcc-switches -O2 -Wall -D_FORTIFY_SOURCE=2 -fstack-protector-strong -funwind-tables -fasynchronous-unwind-tables -fstack-clash-protectionobs://build.opensuse.org/openSUSE:Backports:SLE-15-SP3/standard/15757d75c83434f53f56fd7e45f9fc8d-tensorflow:hpc-openmpi2cpioxz5aarch64-suse-linuxdirectoryASCII text^`l} }d; [ -e /usr/share/lmod/moduledeps/gnu-7-openmpi-2/ptensorflow/.version.1.15.4 ] && \ ln -sf .version.1.15.4 /usr/share/lmod/moduledeps/gnu-7-openmpi-2/ptensorflow/.version/bin/shutf-8dad5224a0aaeccc5c8c64a165470021b0e172023e3e175f415e450243d0c2d74?7zXZ !t/ ] crt:bLL AB}-(YEb )&q0'p`"hue۷xF'{|@>E8gV) :Yz\Wl.m[*u{R,2}.d:TUx:SԂsWS%f}msn(Yy;&+m(;gF+LO.*ܚ("X\,<':2Imа߅FςF ,etE6+a3{6ȊGo YZ