libtimelineDecoder25-opencl-21.05-bp153.2.3.10 4>$  Apb !M@eee>:I#2D8ȏ_UUhU5Z2eKb6󾾡#jX:ӆuPۻg.f1\r%N#I|k:l &ZbX6sUh"| ϙ>]cnk]'pFR͔sr ,mM:e~W~uxBt['7V&]ܥӅl0ڶΛԋ m5`uVO/g/}v8 tT&Y`+tz~0789b56883b19b28c7d80038d056d5616e90204bc82180bc77cff4f6a5aad6185987ab80105e222c43bd1120302769a74262b365b !M@eeenm6IhR\p \&) fq3 U'n&6Tvm>0a/C:A|>[Q ]g@6LtqP7ݞҒG$qJ?e|]Acfk;m΁lc`IPkE*jM^eR[b ڑlXDi@ qq2pvpC3?3d$ 1 O  /O     $.8`h |(8696:6>/@0F0G0,H04I0<X0@Y0L\0t]0|^0b0c1ed2e2f2l2u20v28w2x2y2z3 30343:3|ClibtimelineDecoder25-opencl21.05bp153.2.3.10libtimelineDecoder from armnnArm NN is an inference engine for CPUs, GPUs and NPUs. It bridges the gap between existing NN frameworks and the underlying IP. It enables efficient translation of existing neural network frameworks, such as TensorFlow Lite, allowing them to run efficiently – without modification – across Arm Cortex CPUs and Arm Mali GPUs. This package contains the libtimelineDecoder library from armnn.bobs-arm-8SUSE Linux Enterprise 15openSUSEMIThttp://bugs.opensuse.orgDevelopment/Libraries/C and C++https://developer.arm.com/products/processors/machine-learning/arm-nnlinuxaarch64bVbadf62633c9fb35cecd1690bac8ba2cc44f7df5c6b03b047fb4715d6a6900d9c7libtimelineDecoder.so.25.0rootrootrootrootarmnn-opencl-21.05-bp153.2.3.10.src.rpmlibtimelineDecoder.so.25()(64bit)libtimelineDecoder25-opencllibtimelineDecoder25-opencl(aarch-64)@@@@@@@@@@@@@@@    /sbin/ldconfig/sbin/ldconfigld-linux-aarch64.so.1()(64bit)ld-linux-aarch64.so.1(GLIBC_2.17)(64bit)libc.so.6()(64bit)libc.so.6(GLIBC_2.17)(64bit)libgcc_s.so.1()(64bit)libgcc_s.so.1(GCC_3.0)(64bit)libpthread.so.0()(64bit)libpthread.so.0(GLIBC_2.17)(64bit)libstdc++.so.6()(64bit)libstdc++.so.6(CXXABI_1.3)(64bit)libstdc++.so.6(CXXABI_1.3.9)(64bit)libstdc++.so.6(GLIBCXX_3.4)(64bit)libstdc++.so.6(GLIBCXX_3.4.11)(64bit)libstdc++.so.6(GLIBCXX_3.4.21)(64bit)libstdc++.so.6(GLIBCXX_3.4.9)(64bit)rpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsXz)3.0.4-14.6.0-14.0-15.2-1libtimelineDecoder254.14.3```a@`*b@`_м@_R,@_R,@_P^^@^ϧ^0^y@^h^f/^AE^0"@^0"@^%@^@^@]B]@]@]@]@]W](]?]?]m]@]@]@]p]p]o@]@\\\]@\ \ \t@\t@\@\@\,@\,@\@\@\@n@[Q@Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Dominique Leuenberger Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET - Fix libarmnnOnnxParser version- Update to 21.05: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v21.05 * Main changes: - new capabilities to allow users attain higher performance by: * Making the Arm NN Core thread safe opening the possibility of running multiple inferences on the same model in parallel software threads. * Allowing graphs on the GPU backend import their input and output buffers either from correctly aligned main memory or from kernel memory exposed as a dma_buf, thus reducing memory usage and saving the time involved in copying data into and out of the GPU memory space. - In addition to this, support was added to allow the MobileBERT network to be parsed and run. - Finally three deprecated components: the Tensorflow Parser, the Caffe Parser and the Arm NN Quantizer tool, were removed - Add patch to fix include path: * armnn-fix-include.patch - Disable armnn-extratests as it fails to build with current version- Update to 21.02: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v21.02 - Drop upstream patch: * c5c40fe.diff- Fix instalaltion of cmake files with an upstream patch: * c5c40fe.diff- Backport patch to fix tflite parser when built against tensorflow 2.4: * 96beb97.diff- Update to 20.11: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v20.11 - Refresh patch to handle boost::variant to mapbox::util::variant update: * 0006-armnn-mobilenet-test-example.patch- Add python support, disabled for now as it does not install files atm- Package libtimelineDecoderJson- Update to 20.08: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v20.08 - Refresh patch: * 0005-add-armnn-mobilenet-test-example.patch - Drop upstream patch: * armnn-fix-catch.patch - Disable ONNX on Tumbleweed since there is a compatibility issue with ONNX 1.7.0, see: https://github.com/ARM-software/armnn/issues/419- Build only where ComputeLibrary is built: aarch64 armv7 and x86_64- Unify Leap/SLE options - Update to 20.05: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v20.05 - Drop upstream patch: * armnn-enable-use-of-arm-compute-shared-library.patch - Refresh patch: * 0003-add-more-test-command-line-arguments.patch - Add new patch to fix build with gcc10: * armnn-fix-catch.patch - Package new libtimelineDecode and libarmnnBasePipeServer- Apply boost link fixes only for armnn_extra_tests - Apply patches for armnn_extra_tests only when armnn_extra_tests is built- Disable RPATH to fix build on Leap15.2/SLE15SP2- Add '-Wno-error=deprecated-declarations' to fix build with latest protobuf 3.11.x (Tumbleweed) https://github.com/ARM-software/armnn/issues/366 - Use python-onnx package instead of python-onnx-devel, since it is now a single package.- Fix build on Leap 15.2- Update to 20.02: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v20.02 * Drop upstream patch: - armnn-fix_include.patch * Refresh patch: - 0006-armnn-mobilenet-test-example.patch * Replace downstream patch: - 0007-enable-use-of-arm-compute-shared-library.patch by upstream patch: - armnn-enable-use-of-arm-compute-shared-library.patch * Add 'vim' as BuildRequires since it needs 'xxd' tool - Use TensorFlow 2 also on Leap 15.2 / SLE15SP2- Use Tensorflow 2.x only for Tumbleweed, as TensorFlow2 is not available in Leap 15.2 - Skip some tests if TensorFlow < 1.14 is used- Enable ONNX on Leap 15.2- Use tensorflow2 as armnn 19.11 now requires TensorFlow >= 1.14- Disable ArmnnConverter and ArmnnQuantizer packaging by default as it requires libQuantizer.so to be packaged, which is not yet- Package ArmnnConverter and ArmnnQuantizer- ExcludeArch %ix86: Parts of the build deps (tensorflow/bazel) are not supported on ix86.- Update to 19.11: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v19.11 - Remove upstreamed patches: * armnn-generate-versioned-library.patch * armnn-fix_boost.patch * armnn-fix_arm32_dep.patch * armnn-fix_arm32.patch - Add patch to fix include: * armnn-fix_include.patch- tensorflow-devel package now includes *.pb.* files, so remove TensorFlow parser build workaround: * armnn-fix_tensorflow_link.patch- Add a conflict between armnn-extratests and armnn-opencl-extratests- Add a conflict between armnn-devel and armnn-opencl-devel- Enable ONNX for Tumbleweed- Add downstream ArmnnExamples in a separate '-extratests' package with patches: * 0003-add-more-test-command-line-arguments.patch * 0005-add-armnn-mobilenet-test-example.patch * 0006-armnn-mobilenet-test-example.patch * 0007-enable-use-of-arm-compute-shared-library.patch * 0009-command-line-options-for-video-port-selection.patch * 0010-armnnexamples-update-for-19.08-modifications.patch - Fix build when extratests are disabled * armnn-fix_find_opencv.patch- Replace patch with an upstreamable version: * armnn-generate-versioned-library.patch- Add ONNX Parser support (disabled by default as there is no official ONNX package yet)- Re-enable Tensorflow on Tumbleweed as boo#1151150 is now fixed- Update _constraints- Enable openCL only on a separate flavor as runtime requires libOpenCL.so, libGLES_mali.so, or libmali.so- Enable openCL support - Disable UnitTests when openCL support is enabled as it fails on OBS workers- Add patches to make UnitTests to pass on armv7: * armnn-fix_arm32.patch * armnn-fix_arm32_dep.patch- Disable TensorFlow as on 15.1 only x86_64 succeed and on TW we have incompatibility with protobuf (3.8.0 in TW and Tensorflow uses 3.6.1 internally) - boo#1151150- Update to 19.08: - Changelog: https://github.com/ARM-software/armnn/releases/tag/v19.08 - Remove upstreamed patch: * armnn-fix_quantizer_link.patch * armnn-fix_caffe_parser_with_new_protobuf.patch - Refresh patch: * armnn-generate-versioned-library.patch - Drop patches not needed anymore: * armnn-remove_broken_std_move.patch * armnn-fix_build_with_gcc9.patch- Disable LTO until lto link is fixed https://github.com/ARM-software/armnn/issues/251- Fix build in Tumbleweed, with latest protobuf: * armnn-fix_caffe_parser_with_new_protobuf.patch- Enable Tensorflow parser - Fix link with Tensorflow: * armnn-fix_tensorflow_link.patch- Build and package libarmnnTfLiteParser - Fix libarmnnQuantizer build with: * armnn-fix_quantizer_link.patch- Add _constraints to avoid OOM errors- Update to 19.05: - Changelog: https://github.com/ARM-software/armnn/releases/tag/v19.05 - Remove upstreamed patch: * armnn-fix_stb_include.patch - Rebase patch: * armnn-generate-versioned-library.patch - Update patch: * armnn-remove_broken_std_move.patch- Fix build on Tumbleweed with: * armnn-fix_build_with_gcc9.patch- Fix build on Tumbleweed with: * armnn-remove_broken_std_move.patch- Call ldconfig in post/postun for libarmnnCaffeParser- Enable and fix Caffe parser - Use %cmake_build macro- Add compute_cl option, disabled by default since check fails as no openCL are enabled in OBS- Split libarmnn and libarmnnSerializer to separate packages- Add patch to have versionned libs: * armnn-generate-versioned-library.patch - Package versionned libs- Enable NEON backend on AArch64 - Add patch to enable use of shared lib for ComputeLibrary: * 0007-enable-use-of-arm-compute-shared-library.patch- Update to 19.02 - Remove upstreamed patch: * armnn-fix_catching_polymorphic_type.patch- Update to 18.11 - Add patch to fix build: * armnn-fix_catching_polymorphic_type.patch * armnn-fix_boost.patch * armnn-fix_stb_include.patch- Initial version 18.08/sbin/ldconfig/sbin/ldconfigobs-arm-8 165557192721.05-bp153.2.3.1021.05-bp153.2.3.10libtimelineDecoder.so.25libtimelineDecoder.so.25.0/usr/lib64/-fmessage-length=0 -grecord-gcc-switches -O2 -Wall -D_FORTIFY_SOURCE=2 -fstack-protector-strong -funwind-tables -fasynchronous-unwind-tables -fstack-clash-protection -gobs://build.opensuse.org/openSUSE:Maintenance:16481/openSUSE_Backports_SLE-15-SP3_Update/869f68a4e3bc1c05b750996021155c98-armnn.openSUSE_Backports_SLE-15-SP3_Update:openclcpioxz5aarch64-suse-linuxELF 64-bit LSB shared object, ARM aarch64, version 1 (GNU/Linux), dynamically linked, BuildID[sha1]=72eaf9e45ead8784d407e810f0706374d83624c1, strippedPRRR RRR RR RR R RRRRK'CЬOM%De|utf-8ae5d932aebd718c06d2a0b464cfecf1ff64a363a599324b7abe6ff97feca0fb2?7zXZ !t/ e] cr$x#F{/= Iۣ EE #'St:`83z($\to0Mr+28 P2>kg)FİW(kʽPQx@7&p!r3V30d̽PH" fE:z$?8$lB) &+a8Iҵbs{֏6Qvo$]phy;gmfYS2'U{A:Mu|^ 赕BRr|~rRu̲K!u&nCO5|E2l"@,}C!~ 䬐)ue(@lQ_Ѥ45eS=s\ư ||8+x+nSb#v7,efU-g&<zfYIA4UQ;tݬkpF-Ȝ9bH%|iq>[VDzs1~D^*>ݒ]7_a~`F 6'(h݄~n H+ N F@Ά^%y ~{eyE10<o'-3sR]pJ4F爈34 DIXHWRdZ$?8s iѬm6wS_|iXjVf(9!CxLl̎y>%4}ZVL[G K~:CT@FdDBxZ˧W$p/=0$<^&W0˒ߤS3n-͆%&,2ZxUT YD3NtNgєuOxf#wLQwc҈Z-2>xA3!4гiu0Ok2JZa&A[̬y?4igy1q~fa3E kr.ip`̺Tqtl|b}5X[ٱi2bi:8fMe y.{V[3#=ݮӦpwv>}ю7E /-2ذj{ >"q(DNp66$HcJ1Ѷ8Q8 !)5C z2ET(0 sYm"6۟' dT ˀu[S$c ъ=* ,䞟LU<ar~,ov@X2v:qjjG]~-?~Mޤ .+Vl>YX#4H<.l`>w,/NYY|͋m{O1i:t_~UZl3p1PqֿꟘ>Fy' A^YG7/>1Գaʯ7M!ـVQ}gsJ(!CwOk,V6XX5m{4:?9wZv)'Qg fd:}m"gG[aU{[zʹ FrQfer.Af"#;5tϙ]Ws96t01+"|@3q18<"Qs';,lu c\stTZʸ]1RkGAg#{# <Ђ3=%I٬h4`Rٗ2K]jP rS1K fRA+  1|cdٟ)%{bGHǬb| I'' _+шΤ CfL0mZ00.0-Z QA**ԕƤ|yqƭU0Gj%CX" ˦-)Վ[OMR:0&F_5ZK~+GTÌ@ܙZU3 nh \|Pפ%y0׭bp͒wph(?a!le%= 2.\p 8\U8E ѶH{]2Itը'\៰H NoBN;(N)ۢ61s\ET{}^?*5{D ߬4`3fk&Eq|:quXm|Vo삫طBݒFG͹{C/$X)|\ TAdUbJ ӳFQ~by.r[oʝz2eݽzՏ\j2O6B  Hf9R2љ0‰*Y 栱5TbC˪Iu%bڹ݁>h()I(uj< 0{=P@ڶ2_@12l7N. 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