libarmnnBasePipeServer28-22.02-bp154.1.22 >  A b|e!M@eeeo GJsjh_텩>?m4jr<];l|"ya:F7'?]u`6,pbA`-O~ WB$^#127 J{/dgCP`ޡj5M+C{nテ.:;t)W*A4膤p1:Ĝ141606db93c1d8b1095567b8e3e9678fd6a149c6a038fe39027968e04b17c5b19817354f31456022da6c4c9879de267293539560fb|e!M@eeerg%myy |^}I۽FW*59θƷ.U1.ҿ+cP hEv9Ssi(w ޳a;`cJ}mP:Y@u]%r?8Y4Il*'pC>?>pd! , N  4T     $,6@`h$(8 >9>:>>;0@;?F;NG;`H;hI;pX;tY;\;];^;b;c<d=e= f= l=u= v=(w=x=y=z>> >$>*>lClibarmnnBasePipeServer2822.02bp154.1.22libarmnnBasePipeServer 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 libarmnnBasePipeServer library from armnn.b|dlamb20hXSUSE Linux Enterprise 15 SP4openSUSEMIThttps://bugs.opensuse.orgDevelopment/Libraries/C and C++https://developer.arm.com/products/processors/machine-learning/arm-nnlinuxx86_64hXb|db|d[05b9f62815c72b683da024fef1e6f325b2094603931a7097517c036fcdae18a0libarmnnBasePipeServer.so.28.0rootrootrootrootarmnn-22.02-bp154.1.22.src.rpmlibarmnnBasePipeServer.so.28()(64bit)libarmnnBasePipeServer28libarmnnBasePipeServer28(x86-64)@@@@@@@@@@@@@@@@@    /sbin/ldconfig/sbin/ldconfiglibc.so.6()(64bit)libc.so.6(GLIBC_2.10)(64bit)libc.so.6(GLIBC_2.14)(64bit)libc.so.6(GLIBC_2.2.5)(64bit)libc.so.6(GLIBC_2.3.4)(64bit)libc.so.6(GLIBC_2.4)(64bit)libgcc_s.so.1()(64bit)libgcc_s.so.1(GCC_3.0)(64bit)libpthread.so.0()(64bit)libpthread.so.0(GLIBC_2.2.5)(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)3.0.4-14.6.0-14.0-15.2-1libarmnnBasePipeServer28-opencl4.14.3b0acav@aqV@apa9@`t`@```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 Atri Bhattacharya 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 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 - Update to 22.02: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v22.02 * Add libarmnnTestUtils- Update to 21.11: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v21.11 * Main changes: - New capabilities and improve performance - ABI/API Changes The following front-end API changes have occurred during the implementation of 21.11 that users should be aware of before upgrading. Due to these changes we have bumped our ARMNN_VERSION to 27.0.0, the Delegate to 25.0.0 and also bumping our Parsers to 24.3.0 following Semantic Versioning guidelines. - Drop upstream patches: * 96beb97.diff * febc20f.diff * e118e04.diff * 0011-update-doctest-for-glibc2.34.patch- Add upstream patch to fix stringop-overread error: * e118e04.diff- Add upstream patch to fix uninitialized var error: * febc20f.diff - Remove most -Wno-error* flags which are not needed anymore- Add 0011-update-doctest-for-glibc2.34.patch: Update doctest to version 2.4.6 to allow Arm NN to build with glibc 2.34; patch taken from upstream commits 13d2e0d and 4ec6d42and rebased for current version.- Update to 21.08: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v21.08 * Main changes: - new capabilities and improve performance: * Added the ability to import protected DMA Buffers and allow Arm NN to run inferences that are in Protected GPU Memory. As well as providing Custom Memory Allocator which supports importing malloc, Dma_buf and protected Dma buffers. * Users with multi core NPUs has been given the ability to pin inferences to selected cores giving them the ability to balance parallel workloads across the NPU and increase throughput. * Boost has been completely removed from the code base making Arm NN easier to integrate into other software stacks. * Added support for non-constant weights and biases on FullyConnected which lay the groundwork for supporting more models. * More operators supported on Arm NN, TfLite Parser, TfLite Delegate and Android NNAPI driver. - Drop upstream patch: * armnn-fix-include.patch- Add '-Wno-error=stringop-overread' to workaround build error with GCC11 with openCL enabled- Add '-Wno-error=uninitialized -Wno-error=array-bounds' to workaround build issues with GCC11 - https://github.com/ARM-software/armnn/issues/548- 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/ldconfiglamb20 165231936622.02-bp154.1.2222.02-bp154.1.22libarmnnBasePipeServer.so.28libarmnnBasePipeServer.so.28.0/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:Backports:SLE-15-SP4/standard/0e7c014f9abba06ba734e9cefce04705-armnncpioxz5x86_64-suse-linuxELF 64-bit LSB shared object, x86-64, version 1 (SYSV), dynamically linked, BuildID[sha1]=566d2f47d3c88b4ba1b6b950ee4c1893a3b8397c, strippedPR RRRRRR RRRR RRR RR Rl 2s'ɬnM6utf-82e2fbe008dbc102e3460989c993b85739cbee0b147e8575a8984640ec2c43240?7zXZ !t/j'#] cr$x#F`^@ѮgJKk[%F+; "k0$K0`%"95ŝYZӆ7Zk #NiZj-A IZR۪i*>'xI׌4h:'+O>e@ %ٗxp%8;u5)%t+L=N OhyP{kt_{F#)iM=ޑ/y k8T#e^IDvR{T4ېΏMCFi[!i賣.o!"L^7eTklÞ4(Ӏg0Q<3-F\}+EE0gC<$˷"glJL^ļ4퟊K.ѸD:Α ?F*W?R1k=#9R5CjtJVs4wq"DxVV(Pՙ~lAH:Z Y34NL<ȲtaB7 MXQ mlV뛢h&(OSg^-"Smjvj>'58ZD-iL\څ.娡f2DO\tsfx`!Yqw_| %#Xޛӻ1]sa/mMZJ{rښ@|Pz\ ~%Pn WSnlHoȌ?Hole??F7KX9kp!B"dp~y>{<_s!QzFAaJoO( J:ޗD[i}!YM~"d^AN+AؖVvI)#ƙ[|śnx9DT,e$3pcX*& bލnom> HH9dE";T$gP3vo}x,?_)jqglSi_~ cWoeU}zM`ǎI'$Q(]u!뙋x^=G\Jsʑi'׋q?N'C/TxAf6WQJcmCZfTrƷe?_Gh؃gB4 qA=] R'yLrCMBVާAD05]q+1g}wRּ(QbA{Jwal򃄼AnmZDb1!z/.kݫF^R k'4hM 1 +`ubu5 !(F-Ǝ 0WX>404>A""{ְ4۽'ZlϑLݘ2;نu1V%<-4u°ujGc֎?PEfBh :W8@NA׎~QnF/ljPm5Vj|}qFu".pvsClJJ9|<{ECQʢݝnόlpUtxiIn?XW3C;G/y^,(nH{=72}# ZL2TXUEW5 9^mݧ${Ka?qNzM/rSvFk;1`)(,ξ,ƒBK"xqw"bw2$O(U=|NG\t-\ݭtFt'7*vTj4v?8>d1W, НLqahtԅZeA,d 7d "8ާ'TS##!B-Fp Mwҙh Lm5,?{ mҺrGujb _Ckc8|a:b0D]1!0b6.(Z+@zP:0MBC#%MrMZX.QG2WU?U*##D@ k'0q>:0Na|8X쨚L; jWg:,$x_,Sd[I@1e4a,_!j87C \,Ke%]TȪ3lL\ )Qoq'9)(r6&8?4og?sPggqN҆+jA³`PW,IJXNhf@O $2̜+yExfm%*kVo5Ez ܗMc!#9XxZ.bەt qn/k ?"S?skԑ}"=}AFTo /GW4еĐ-XF7@#8z{G$iio}Y{.X*|id㯵-}Obqfj{޹Q;4Ix饡3\qYLQlZUr GgP$0hpD`dS$eG)0XKtYg>=29ʱK3EE3dk}>TuWy^JMH*VqeWDKMVa zn A蠞_t63O=|(/-5=ꋖ1(-˳`i6Gs9FlҘ)7|YksOxw~yK `Q+u45UmlX}pkq[9:6,棈qr7ݼFp$өʥ*Q%K."dva&jg"ŋRg9X څGڈj偫iH4Z _y B&wznH꧈:nXAuf$ 4iC,K\3դvs"#C/v\ wZbXj.ON-}eB4OmC,Xq(CM,ƻ:A‰2=J̮DV(2kw<K$Pu.$~*pJjNA=Ǟ \Ga*yCH"s  cM=cIۂ@=dB(+a] ax>bCx2ݷ/݁ iЗEM[SFՇKKuH& 6-O@H_a^up'delX.~(%GMmWѻĬHK nk}il}_ݑIɲa&d KAO=@4f'n4kgP.f,)W{T[xTpƣ|^SZ?aPy#ݙX[XESY 5e4~g׈<,rdu0rehɆ*y%MS$SmI"6`ˑ bC^d354uH#UVD\f`VP|N]¢jU5l}z*-rQѨ(|m"i8"QȺ|׌I/>LL^d\$.CW50-"(L I@K{lA5Ҡ ݞqW ݡ$J wĔJ-(/XC9Mu0r=SZO/h%et Q,廔ˎͬ F W6̢4a0lsWmX Ė2a,:Oem(ɦr5@BmuL4tu{' `}aY=z _ F.~Y_\ZK" e$(G%je:^)w:Cx;[ pABetqF f܋t&@KVTqs#pJ?:Iak);vߋ*+Ƿ"u6H0L= Gv[TpP[ZVv.eLLuu##z+Aa 2fCWL\8҄ۏmŐ 5[ ׅE{4^ˉ/t?<= "dVS & A5p 14!*/g'{QHLGP}J@]%YO/dmH^Pyم=;ټ{a1&z‹D]T痰Uk;ja4A=קFF7{FMP;nKO,+'_Ylaqi;u^Վ u6q<=\ayyNgO;.:pW"eѩK!E-ml'X qYJJ I2 {)>٢UklQY(o+{ܪsN.(K ;o9͋clC ~bƪ9攥djOK~@C3sH @ac,e*FUo7ΑݨOn.;;ʎp)g^ѷ{KB[3%_e 35 ֠Pu a}U&G ?' ?bH]8}<Ю[tJ7+ZW2({ \Zd2vj[[NtDxo Fq, X15Y q:t.adgAUJSWι.Ft5MjFeu=6s9%إn(cU=-w+!gUkn;=]-= yVH,89F0Wq1-+°!:bEk&F牂JpKkЃi91x(F}(d[es!J|х'4"=ޕ,e"02%8)0K$dGPTY"R:CaoID}?aX|*Әlmp j UX;84=r5|$2KE 0Ls_ :4vzt*͎3ϽLmK=tÇ(rz_!pIՖQjAG|P*4L)R6,}81Mzc44tu@;n-_X7X #J.7G_7jp^O辕-!Bss OF_x)jeHF T.S1K^ AJ4&Le`#*Z*b d60,8tv7;ebS:$h™vt#Q~gʃ,V^d~K*ACwLEF}r^pf P ߆b⧳$W@G\(Fw1EDsG{EM'E?eq<ұe=R%s  ahL GL7YA)ݢސQns*8mruR.yjǹ24#h]jh{ᬁ>8*#n#h@{F?{ AۆG#lL | L5^N3;a1y$< MiwY܅Ô}EւC1HQ3ѽ #!*h:g/3ZeK'DZ `#m^ԌQk>AMW.{]3GZ*͆O'HoQ?ǯKuclԤJasnPhw]B~IszB5E_uR|<ʆ'olμ \ \e$wxBYBP Ys=i$ƏLr,jNa`Qa g"Nj=q~ Wn=c$"S!e0dt[R7}L@*EZ 7Gu/r :D?'Ӻ o0zwg%3c b8mˉhśnh&d {9-^qj,gj]zmz?Hd*.'~lN3u 'aӏ `ޙ>f_~![gfu=R>oʱ,Ѵ"*4UkZittG'⣮0-G/ύ3WAsf832|x.ebb+yQ<  Ti:q->ʘ,HnL۽ʼn#}~ʉݻqwqeuމQۣ"ӹh`e#a۵Qq9 P 9T@U+e=3qLɚ+#m&TA9tj#H; eX0g))KfroE{*hN^?*GLKƶDx8;6(w;/\ ; [{%11TC aAjV4X"Q,H8%R?7b\nFQz|YG8М =8lq&\, ZMu#v(ɃClZ;>Fiyub-Jy\nAj߈ En6J4k|ǹwm3éB1z`L1/XTn XJP~ ix!B^N'e`nЌ&kuMN/ ;cCmK'( TlPhV"@VE "KsU gBNr 5s9 w8Ť oƋ!r$ݟ ﴰ /g/fQM\]6oFGwADش7klcr9.X]íGz1S琣^^3}[p C^^](; Fku; YZ