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| Name: tensorflow2-lite-devel | Distribution: SUSE Linux Enterprise 15 SP4 |
| Version: 2.6.2 | Vendor: openSUSE |
| Release: bp154.1.26 | Build date: Thu May 12 09:45:52 2022 |
| Group: Development/Languages/Python | Build host: s390zp29 |
| Size: 37730849 | Source RPM: tensorflow2-lite-2.6.2-bp154.1.26.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: https://www.tensorflow.org/ | |
| Summary: Header files of tensorflow | |
This open source software library for numerical computation is used for data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture enables you to deploy computation to one or more CPUs in a desktop, server, or mobile device without rewriting code. This package provides necessary headers for the C/C++ Api
Apache-2.0 AND BSD-2-Clause AND BSD-3-Clause AND FSFUL AND MIT AND MPL-2.0 AND OpenSSL AND Python-2.0
* Tue Jan 11 2022 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Remove more python dependencies for tensorflow2-lite
* Mon Jan 10 2022 Guillaume GARDET <guillaume.gardet@opensuse.org>
- tensorflow2-lite version does not need all the python dependencies
listed for tensorflow2
* Fri Jan 07 2022 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Leap 15.x / Backports: Do not build non-Lite versions since python3-numpy
and python3-scipy are too old for Keras/TF2
* Tue Nov 09 2021 Christian Goll <cgoll@suse.com>
- updated to 2.6.2 which is bug fix release which just fixes an issue where
keras, tensorflow_estimator and tensorboard were missing proper upper bounds
and resulted in broken installs after Keras 2.7 release for all packages in
TensorFlow ecosystem
- Fixes from 2.6.1 (boo#1192447):
* Fixes a code injection issue in saved_model_cli (CVE-2021-41228)
* Fixes a vulnerability due to use of uninitialized value in Tensorflow (CVE-2021-41225)
* Fixes a heap OOB in FusedBatchNorm kernels (CVE-2021-41223)
* Fixes an arbitrary memory read in ImmutableConst (CVE-2021-41227)
* Fixes a heap OOB in SparseBinCount (CVE-2021-41226)
* Fixes a heap OOB in SparseFillEmptyRows (CVE-2021-41224)
* Fixes a segfault due to negative splits in SplitV (CVE-2021-41222)
* Fixes segfaults and vulnerabilities caused by accesses to invalid memory
during shape inference in Cudnn* ops (CVE-2021-41221)
* Fixes a null pointer exception when Exit node is not preceded by Enter op (CVE-2021-41217)
* Fixes an integer division by 0 in tf.raw_ops.AllToAll (CVE-2021-41218)
* Fixes a use after free and a memory leak in CollectiveReduceV2 (CVE-2021-41220)
* Fixes an undefined behavior via nullptr reference binding in sparse matrix
multiplication (CVE-2021-41219)
* Fixes a heap buffer overflow in Transpose (CVE-2021-41216)
* Prevents deadlocks arising from mutually recursive tf.function objects (CVE-2021-41213)
* Fixes a null pointer exception in DeserializeSparse (CVE-2021-41215)
* Fixes an undefined behavior arising from reference binding to nullptr in
tf.ragged.cross (CVE-2021-41214)
* Fixes a heap OOB read in tf.ragged.cross (CVE-2021-41212)
* Fixes a heap OOB in shape inference for QuantizeV2 (CVE-2021-41211)
* Fixes a heap OOB read in all tf.raw_ops.QuantizeAndDequantizeV* ops (CVE-2021-41205)
* Fixes an FPE in ParallelConcat (CVE-2021-41207)
* Fixes FPE issues in convolutions with zero size filters (CVE-2021-41209)
* Fixes a heap OOB read in tf.raw_ops.SparseCountSparseOutput (CVE-2021-41210)
* Fixes vulnerabilities caused by incomplete validation in boosted trees code (CVE-2021-41208)
* Fixes vulnerabilities caused by incomplete validation of shapes in multiple TF ops (CVE-2021-41206)
* Fixes a segfault produced while copying constant resource tensor (CVE-2021-41204)
* Fixes a vulnerability caused by unitialized access in EinsumHelper::ParseEquation (CVE-2021-41201)
* Fixes several vulnerabilities and segfaults caused by missing validation
during checkpoint loading (CVE-2021-41203)
* Fixes an overflow producing a crash in tf.range (CVE-2021-41202)
* Fixes an overflow producing a crash in tf.image.resize when size is large (CVE-2021-41199)
* Fixes an overflow producing a crash in tf.tile when tiling tensor is large (CVE-2021-41198)
* Fixes a vulnerability produced due to incomplete validation in
tf.summary.create_file_writer (CVE-2021-41200)
* Fixes multiple crashes due to overflow and CHECK-fail in ops with large
tensor shapes (CVE-2021-41197)
* Fixes a crash in max_pool3d when size argument is 0 or negative (CVE-2021-41196)
* Fixes a crash in tf.math.segment_* operations (CVE-2021-41195)
* Sat Oct 23 2021 Egbert Eich <eich@suse.com>
- Make sure tensorflow/core/public/version.h is installed in the
'lite' version (bsc#1191805).
* Fri Sep 24 2021 Ben Greiner <code@bnavigator.de>
- Add missing python requirements -- boo#1190856
* Wed Sep 01 2021 Egbert Eich <eich@suse.com>
- Limit BuildRequires for bazel-skylib-source to versions >= 1.0.3.
* Thu Aug 19 2021 Fusion Future <qydwhotmail@gmail.com>
- Update to 2.6.0
Major changes are:
* Keras been split into a separate PIP package (keras), and its
code has been moved to the GitHub repositorykeras-team/keras.
The API endpoints for tf.keras stay unchanged, but are now
backed by the keras PIP package. The existing code in
tensorflow/python/keras is a staled copy and will be removed in
future release (2.7). Please remove any imports to
tensorflow.python.keras and replace them with public tf.keras
API instead.
* tf.train.experimental.enable_mixed_precision_graph_rewrite is
removed, as the API only works in graph mode and is not
customizable. The function is still accessible under
tf.compat.v1.mixed_precision.enable_mixed_precision_graph_rewrite,
but it is recommended to use the Keras mixed precision API
instead.
* tf.lite: Remove experimental.nn.dynamic_rnn,
experimental.nn.TfLiteRNNCell and
experimental.nn.TfLiteLSTMCell since they're no
longer supported. It's recommended to just use keras lstm
instead.
* tf.keras: The methods Model.to_yaml() and
keras.models.model_from_yaml have been replaced to raise a
RuntimeError as they can be abused to cause arbitrary code
execution. It is recommended to use JSON serialization instead
of YAML, or, a better alternative, serialize to H5.
- Major changes from 2.5.x:
* Support for Python3.9 has been added.
* The TF_CPP_MIN_VLOG_LEVEL environment variable has been renamed
to to TF_CPP_MAX_VLOG_LEVEL which correctly describes its
effect.
- Fixed multiple CVEs (boo#1189423):
* CVE-2021-37635
* CVE-2021-37636
* CVE-2021-37637
* CVE-2021-37638
* CVE-2021-37639
* CVE-2021-37640
* CVE-2021-37642
* CVE-2021-37641
* CVE-2021-37644
* CVE-2021-37643
* CVE-2021-37645
* CVE-2021-37646
* CVE-2021-37647
* CVE-2021-37648
* CVE-2021-37649
* CVE-2021-37650
* CVE-2021-37651
* CVE-2021-37652
* CVE-2021-37653
* CVE-2021-37654
* CVE-2021-37655
* CVE-2021-37656
* CVE-2021-37657
* CVE-2021-37658
* CVE-2021-37659
* CVE-2021-37660
* CVE-2021-37661
* CVE-2021-37662
* CVE-2021-37664
* CVE-2021-37663
* CVE-2021-37665
* CVE-2021-37666
* CVE-2021-37667
* CVE-2021-37668
* CVE-2021-37669
* CVE-2021-37670
* CVE-2021-37671
* CVE-2021-37672
* CVE-2021-37673
* CVE-2021-37674
* CVE-2021-37676
* CVE-2021-37675
* CVE-2021-37677
* CVE-2021-37678
* CVE-2021-37679
* CVE-2021-37680
* CVE-2021-37681
* CVE-2021-37682
* CVE-2021-37683
* CVE-2021-37684
* CVE-2021-37686
* CVE-2021-37685
* CVE-2021-37687
* CVE-2021-37688
* CVE-2021-37689
* CVE-2021-37691
* CVE-2021-37692
* CVE-2021-37690
- Updated sources:
* abseil-cpp.tar.gz
* cpuinfo.zip
* dill-0.3.2.zip
* eigen.tar.gz
* google-cloud-cpp.tar.gz
* libxsmm_1.14.tar.gz
* llvm.tar.gz
* oneDNN.tar.gz
* rules_cc.tar.gz
* rules_closure.tar.gz
* rules_docker-0.18.0.tar.gz
* ruy.zip
* tblib-1.7.0.tar.gz
- Added sources:
* ComputeLibrary.tar.gz
* oneDNN-v2.3-rc2.tar.gz
* platforms-0.0.2.tar.gz
* rules_proto.tar.gz
* tf_runtime.tar.gz
* tf_toolchains.tar.gz
- Removed sources:
* kafka-v0.11.5.tar.gz
- Add "tensorflow-2.6.0" prefix to existing patches to indicate
that patches are likely to be only applicable to a specific
version.
* fix-lite.patch -> tensorflow-2.6.0-fix-lite.patch
* numpy-tensor-small.patch -> tensorflow-2.6.0-numpy-tensor-small.patch
* removed-clog-build-as-included-in-cpuinfo.patch -> tensorflow-2.6.0-removed-clog-build-as-included-in-cpuinfo.patch
* removed-external-toolchains.patch -> tensorflow-2.6.0-removed-external-toolchains.patch
* remove-weakref.patch -> tensorflow-2.6.0-remove-weakref.patch
* tf-keras-hdf5-3.patch -> tensorflow-2.6.0-tf-keras-hdf5-3.patch
- Rebase all existing patches.
- Add tensorflow-2.6.0-compile-with-protobuf-3.16.patch to fix
build error with protobuf >= 3.16.0. (boo#1186860)
(https://github.com/protocolbuffers/protobuf/pull/8354)
- Update bazel version requirement to 3.7.2.
- Drop pcre-devel build requirement as it is not used anymore.
- Drop --incompatible_no_support_tools_in_action_inputs=false as it
is removed in bazel >= 3.6.
* Wed May 19 2021 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Update _constraints to use host with 'asimdrdm' cpu flag to avoid
slow CPU and be scheduled on faster systems
* Wed Apr 14 2021 Ferdinand Thiessen <rpm@fthiessen.de>
- Update to version 2.4.1
* Bugfixes
* Drops requirement of AVX2
* Tue Apr 06 2021 Ben Greiner <code@bnavigator.de>
- Don't BuildRequire keras_applications. Tensorflow provides it
itself: https://github.com/tensorflow/tensorflow/commit/23c3bdaa
- These were discovered by Keras test suite:
* add numpy-tensor-small.patch for Numpy >= 1.20
gh#tensorflow/tensorflow#47691
* add tf-keras-hdf5-3.patch for hdf5 >= 3.0
gh#tensorflow/tensorflow#44467
* Thu Feb 18 2021 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Generate and install pkgconfig files for tensorflow-lite and
tensorflow (non-hpc)
* Wed Jan 27 2021 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Do not install bazel tools to build Lite version. This will allow
to build for armv7 where bazel 3.x is not available - boo#1178564
* Fri Jan 15 2021 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Fix packaging for libiomp5
* Mon Jan 11 2021 Dirk Müller <dmueller@suse.com>
- build verbose to not fail on the obs stall detection
* Fri Jan 08 2021 Guillaume GARDET <guillaume.gardet@opensuse.org>
- libiomp5 is x86_64 only
* Wed Jan 06 2021 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Fix build on aarch64 and on hpc variants
* Wed Oct 21 2020 Christian Goll <cgoll@suse.com>
- Updated to version 2.4.0 which fixes several bugs (bsc#1173128)
(bsc#1173314)i, (bsc#1179455) and (bsc#1178287)
- Security fixes for CVE-2020-26266, CVE-2020-26267, CVE-2020-26268,
CVE-2020-26270 and CVE-2020-26271
- updated sources:
* abseil-cpp.tar.gz
* eigen.tar.gz
* gemmlowp.zip
* googleapis.zip
* llvm.tar.gz
- added sources:
* DouraFFT.tar.gz
* cpuinfo.zip
* dill-0.3.1.1.tar.gz (aarch64 only)
* dlpack.tar.gz
* oneDNN.tar.gz
* openmp-10.0.1.src.tar.xz
* python-license-astunparse
* re2.tar.gz
* rules_android.zip
* rules_cc.tar.gz
* rules_docker-0.15.0.tar.gz
* ruy.zip
* sobol_data.tar.gz
* tblib-1.3.2.tar.gz (aarch64 only)
* typing_extensions-3.7.4.2.tar.gz (aarch64 only)
- removed sources:
* boring_ssl.tar.gz
* cub_1.8.0.zip
* mkl-v0.21.2.tar.gz
* pybind11-v2.3.0.tar.gz
* right-json-location.patch
* rules_docker.tar.gz
- removed patches:
* Provide-overload-to-cope-with-const-ness-change-of-N.patch
* fix-google-absl-memory.patch
* json-feature-name.patch
* libjpeg_turbo-name.patch
* removed-docker-tools.patch
- added patches:
* removed-clog-build-as-included-in-cpuinfo.patch
* removed-external-toolchains.patch
- Major changes are:
* tf.distribute introduces experimental support for asynchronous training of
models via the tf.distribute.experimental.ParameterServerStrategy API.
* MultiWorkerMirroredStrategy is now a stable API and is no longer considered
experimental.
* Introduces experimental support for a new module named tf.experimental.numpy
which is a NumPy-compatible API for writing TF programs.
* A major refactoring of the internals of the Keras Functional API has been
completed, that should improve the reliability, stability, and performance
of constructing Functional models.
* Keras mixed precision API tf.keras.mixed_precision is no longer experimental
and allows the use of 16-bit floating point formats during training,
improving performance by up to 3x on GPUs and 60% on TPUs.
* TensorFlow Profiler now supports profiling MultiWorkerMirroredStrategy and
tracing multiple workers using the sampling mode API.
* Tue Oct 13 2020 Christian Goll <cgoll@suse.com>
- fixed hpc flavor and Leap15.2 builds
* Mon Sep 28 2020 Christian Goll <cgoll@suse.com>
- updated to 2.1.2 with following fixes (bsc#1177022):
* 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)
- using fft2d.tgz instead of fft.tar.gz
- removed fft.tar.gz
* Mon Sep 14 2020 Christian Goll <cgoll@suse.com>
- fixed json-feature-name.patch for leap15.2 builds
* Thu Sep 10 2020 Christian Goll <cgoll@suse.com>
- updated disk constraints, as sometimes the build fails with too
low disk space
* Wed Sep 09 2020 Christian Goll <cgoll@suse.com>
- Package C-headers for standard tensorflow (boo#1175789)
- fixed build gcc10.1 errors for Tumbleweed with following
upstream patch:
* added file Provide-overload-to-cope-with-const-ness-change-of-N.patch
* Tue Sep 08 2020 Christian Goll <cgoll@suse.com>
- Package header files for Tensoflow2 Lite - boo#1175099
* Thu Sep 03 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Revert memoryperjob constraint support and use again
%limit_build macro to avoid OOM errors
* Thu Aug 20 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Lower memoryperjob to 1300 MB (as done for tensorflow)
* Thu Aug 20 2020 Martin Liška <mliska@suse.cz>
- Use memoryperjob constraint instead of %limit_build macro.
* Thu Jun 25 2020 Christian Goll <cgoll@suse.com>
- fixed build with json_cpp 1.9.3 (bsc#1173314)
* Fri Jun 19 2020 Christian Goll <cgoll@suse.com>
- fixed local CUDA builds
* Tue Jun 16 2020 Christian Goll <cgoll@suse.com>
- updated to 2.1.1 which is a bug fix release mostly for external
sources which are not part of this package (sqlite,libjpeg-turbo,
Apache Spark)
* Fixes a versioning bug which causes Keras layers from TF 1.x to
be used instead of those from TF 2.x
* Mon May 25 2020 Christian Goll <cgoll@suse.com>
- 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
* Tue Apr 07 2020 Christian Goll <cgoll@suse.com>
- added mkl-ddn as source and do not use system mkl-dnn (bsc#1168839)
- removed patches:
* fixed-mkl-sgemm-call.patch
* added-mkl_dnn-as-syslib.patch
- added source:
mkl-v0.21.2.tar.gz
* Fri Mar 27 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
- tensorflow2-lite-devel does not requires libtensorflow*
* Thu Mar 26 2020 Christian Goll <cgoll@suse.com>
- removed hpc-mvapich2 build (bsc#1167735)
* Tue Mar 24 2020 Bernhard Wiedemann <bwiedemann@suse.com>
- Use pip install --no-compile (boo#1094323)
* Fri Mar 20 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Lite flavor should not provide python3-tensorflow nor tensorflow
* Fri Mar 13 2020 Christian Goll <cgoll@suse.com>
- removed sources of bazel sources and replaced them by internal packages
* rules-cc.zip removed
* bazel-toolchains.tar.gz removed
* bazel-skylib.0.8.0.tar.gz removed
* Mon Mar 09 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Lite flavor should not provide "tensorflow", otherwise
tensorlfow2-devel and tensorlfow2-lite-devel conflict and break
armnn
* Thu Mar 05 2020 Christian Goll <cgoll@suse.com>
- added Provides: tensorflow, so that Kerase works with this package
and fixed Leap 15.2 build
* Fri Feb 28 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Fix name for libtensorflow* sub-packages
* Thu Feb 20 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
- openSUSE has no CUDA package, so disable cuda build for
openSUSE
* Fri Feb 14 2020 Christian Goll <cgoll@suse.com>
- addding changes for CUDA builds
* Thu Feb 13 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Add 'Provides' only for hpc flavors, otherwise it matches the
package name
* Tue Feb 11 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Add provides/conflicts to avoid to install tensorflow and
tensorflow2 as some files are provided by both packages
* Wed Feb 05 2020 Christian Goll <cgoll@suse.com>
- removed mkl-dnn as sourc and force usage of system mkl-dnn
for x86_64 builds
* removed file mkl-dnn-v021.2.tar.gz
* added patch: added-mkl_dnn-as-syslib.patch
* added patch: fixed-mkl-sgemm-call.patch
* Sun Feb 02 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Add 1.25.0 as minimal version for grpc-devel
* Fri Jan 31 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Add 3.1.5 as a minimal version for double-conversion-devel
(2.0.1 from SLE15SP2/Leap15.2 is too old)
- Lower required version for protobuf (3.9.1 from SLE15SP2/Leap15.2
is fine)
* Thu Jan 30 2020 Christian Goll <cgoll@suse.com>
- removed AVX2 flavor, this should be fixed via mkl-dnn
* Thu Jan 30 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Fix build on hpc targets
* Tue Jan 28 2020 Christian Goll <cgoll@suse.com>
- added shared library packages libtensorflow2,
libtensorflow_cc2 and libtensorflow_framework2
- removed the AWS sdk support as this forces a SEGFAULT
* remobed file aws-sdk-cpp-1.5.8.tar.gz
- dropped following source files as they are not needed any more
* removed file backports.weakref-1.0rc1.tar.gz
* removed file gettid.patch
* removed file grpc-v1.24.2.gz
* removed file libjpeg-turbo-2.0.0.tar.gz
* removed file nsync_1.20.0.tar.gz
* Tue Jan 28 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Do not try to install *.pb.* files in Lite flavor
* Tue Jan 28 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Define package name at 'tensorflow2' instead of 'tensorflow'
* Fri Jan 24 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Generate *.pb.* files and package them, to be used by ArmNN
- Do not build on %ix86
- Do not build %arm, except for Lite flavor
* Thu Jan 23 2020 Christian Goll <cgoll@suse.com>
- updated to tensorflow 2.1.0 which is a stable release and has
following breaking changes:
* Deletes Operation.traceback_with_start_lines for which we
know of no usages.
* Removed id from tf.Tensor.__repr__() as id is not useful other
than internal debugging.
* Some tf.assert_* methods now raise assertions at operation
creation time if the input tensors' values are known at that
time, not during the session.run(). This only changes behavior
when the graph execution would have resulted in an error. When
this happens, a noop is returned and the input tensors are
marked non-feedable. In other words, if they are used as keys
in feed_dict argument to session.run(), an error will be raised.
Also, because some assert ops don't make it into the graph, the
graph structure changes. A different graph can result in
different per-op random seeds when they are not given
explicitly (most often).
* The following APIs are not longer experimental:
tf.config.list_logical_devices, tf.config.list_physical_devices,
tf.config.get_visible_devices, tf.config.set_visible_devices,
tf.config.get_logical_device_configuration,
tf.config.set_logical_device_configuration.
* tf.config.experimentalVirtualDeviceConfiguration has been
renamed to tf.config.LogicalDeviceConfiguration.
* tf.config.experimental_list_devices has been removed,
please use tf.config.list_logical_devices.
- renamed the project to tensorflow2 so that the original tensorflow
v1 API compatible release can stay in factory. Following
changes were made to achive this:
* added tensorflow-v2.1.0.tar.gz
* added tensforflow2.spec
* added tensforflow2.changes
* removed tensorflow-v1.13.2.tar.gz
* removed tensorflow.spec
* removed tensorflow.chnages
- following source files had to be updated
* updated abseil-cpp.tar.gz
* updated bazel-toolchains.tar.gz
* updated eigen.tar.gz
* updated gemmlowp.zip
* updated license.rst.txt
* updated rules_closure.tar.gz
- following new souces had to be updated
* added aws-sdk-cpp-1.5.8.tar.gz
* added bazel-skylib.0.8.0.tar.gz
* added fft2d.tgz
* added rules_cc.zip
- for the following souces the system libraries are now ues
* removed aws-sdk-cpp-1.3.15.tar.gz
* removed double_conversion.zip
* removed file unicode-org-icu.tar.gz
* removed file 816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
- these patches were removed
* removed file support-new-bazel.patch
* removed file tensorflow-make_aws_sdk_work_on_aarch64.patch
* removed file tensorflow-fix_lite.patch
* removed file remove-keras.patch
* removed file grpc-namespace-corrections.patch
- these new patches were added
* added fix-lite.patch
* added removed-docker-tools.patch
* added right-json-location.patch
* Tue Oct 15 2019 Christian Goll <cgoll@suse.com>
- 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
* Wed Sep 25 2019 Christian Goll <cgoll@suse.com>
- 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
* Mon Sep 23 2019 Christian Goll <cgoll@suse.com>
- using now system protobuf instead of building it (bsc#1151150)
* Tue Sep 17 2019 guillaume.gardet@opensuse.org
- Ajust %limit_build to avoid OOM errors
- Do not use %limit_build for lite flavor
* Mon Jul 29 2019 Christian Goll <cgoll@suse.com>
- added additonal dependencies
* Wed Jul 17 2019 Christian Goll <cgoll@suse.com>
- fixed installation location of shared library
* Mon Jul 08 2019 Christian Goll <cgoll@suse.com>
- removed bazel mirror from as much source links as possible
- added support-new-bazel.patch support newer upcoming bazel
versions
* Tue Jun 04 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Fix build for lite flavor:
* tensorflow-fix_lite.patch
* Wed May 29 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Call ldconfig for devel package in post/postun
* Mon May 27 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Fix aarch64 build with upstream patch:
* tensorflow-make_aws_sdk_work_on_aarch64.patch
* Mon May 27 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Add Lite flavor
* Fri Apr 26 2019 Christian Goll <cgoll@suse.com>
- updated to 1.13.1 fixes boo#1133490
* Fri Mar 29 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Update _constraints to avoid OOM errors
* Fri Mar 29 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Build and package libtensorflow_cc and libtensorflow_framework
* Tue Mar 19 2019 Christian Goll <cgoll@suse.com>
- added fix_mvapich_mpi_bzl.patch which fixes detection of
mvapich2 mpi library
- fixed python3 build
* Tue Mar 12 2019 Adrian Schröter <adrian@suse.de>
- 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
* Tue Feb 12 2019 cgoll@suse.com
- enabled aws and googlecloud support
* removed no_aws_and_googlecloud.patch
* Mon Feb 11 2019 Christian Goll <cgoll@suse.com>
- 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
* Thu Jan 31 2019 Bernhard Wiedemann <bwiedemann@suse.com>
- Fix build with python 3.7
* Fri Jan 18 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Build and package libtensorflow.so as some packages may link to it
* Fri Jan 11 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Add constraints on HDD size to avoid no space-left error
* Mon Nov 26 2018 Todd R <toddrme2178@gmail.com>
- Fix python3 provides
- Minor spec file cleanups
* Sat Nov 24 2018 Todd R <toddrme2178@gmail.com>
- Provide python3-tensorflow
* Thu Nov 08 2018 cgoll@suse.com
- updated build command to fit bazel-0.19
* Thu Oct 18 2018 Jan Engelhardt <jengelh@inai.de>
- Trim pad wording from descriptions.
* Tue Oct 16 2018 cgoll@suse.com
- 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.
* Thu Jan 04 2018 cgoll@suse.com
- 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 environment
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/usr/include/tensorflow/lite/delegates/gpu/common/memory_management/min_cost_flow_assignment.h /usr/include/tensorflow/lite/delegates/gpu/common/memory_management/naive_assignment.h /usr/include/tensorflow/lite/delegates/gpu/common/memory_management/types.h /usr/include/tensorflow/lite/delegates/gpu/common/model.h /usr/include/tensorflow/lite/delegates/gpu/common/model_builder.h /usr/include/tensorflow/lite/delegates/gpu/common/model_builder_helper.h /usr/include/tensorflow/lite/delegates/gpu/common/model_builder_internal.h /usr/include/tensorflow/lite/delegates/gpu/common/model_hints.h /usr/include/tensorflow/lite/delegates/gpu/common/model_transformer.h /usr/include/tensorflow/lite/delegates/gpu/common/object_reader.h /usr/include/tensorflow/lite/delegates/gpu/common/operation_parser.h /usr/include/tensorflow/lite/delegates/gpu/common/operations.h /usr/include/tensorflow/lite/delegates/gpu/common/precision.h /usr/include/tensorflow/lite/delegates/gpu/common/quantization_util.h 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/usr/include/tensorflow/lite/delegates/gpu/common/tasks/conv_constants_test_util.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/conv_metal.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/conv_powervr.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/conv_powervr_test_util.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/conv_weights_converter.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/conv_weights_converter_test_util.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_3x3.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_3x3_test_util.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_3x3_thin.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_3x3_thin_test_util.h 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/usr/include/tensorflow/lite/delegates/gpu/common/tasks/padding_test_util.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/pooling.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/pooling_test_util.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/prelu.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/prelu_test_util.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/quantize_and_dequantize.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/quantize_and_dequantize_test_util.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/reduce.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/reduce_test_util.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/relu.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/relu_test_util.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/resampler.h /usr/include/tensorflow/lite/delegates/gpu/common/tasks/resampler_test_util.h 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Fabrice Bellet, Tue Apr 9 17:27:20 2024