pytorch-examples-1.4.0-bp154.1.28 >  A b|{!M@eeeY|+n%n0*5ZDwK9+HD>Vp7Pu"2o~@sgYtUBYq54HQ ݊4IيYYw6>?jӨDuGR)Nz&u$xwF7$?#8W%$\0 VmX:!,&8 @>1 -10T "n徍kK1f80cc87873097f9e6b0b28dd6917a49877b44916b8a3f5e4aad4d8775784a7f17d721dca83b7f7c487e74e3e57414883ce058baB@b|{!M@eee#"D:>,MEX,Jֲ>g'?PYs^-dѺuSʢʭ(UN y9g=F@髈twwi^1>g1EY7`oKJ|cp}3=aG/>Oe74i,pVȩ@)P?PNPN<ȲNJ[;naZ^q-MSOԦ" }fM(2 M?_014>p>t?dd $ K .K_el     6T|(78@9`:wF6GLHdI|XY\]^bWcdnesfvlxuvz`Cpytorch-examples1.4.0bp154.1.28Examples which can be used for testingThis example files can be used to start an own pytorch/caffe2 project.b|{Abuild75 SUSE Linux Enterprise 15 SP4openSUSEBSD-2-Clause AND BSD-3-Clause AND MIT AND Zlib AND BSL-1.0 AND Apache-2.0https://bugs.opensuse.orgDevelopment/Languages/Pythonhttps://pytorch.orglinuxnoarch&kC mkCAb|{b|{b|{b|{b|{b|{e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855a7b69e1cb4b2f76fdb4d5d4665d503d79884cdf908e67c7ddb1fe93d8eb5d80be9d56de9f195942144a3917983c2d13c00f4e7062f35863abf5c2289705a8d16ba0b75b16050246ebfa6c4474aef335ea342e8078fd80b41d65f7759eadd950ce9d56de9f195942144a3917983c2d13c00f4e7062f35863abf5c2289705a8d16rootrootrootrootrootrootrootrootrootrootrootrootpython-torch-1.4.0-bp154.1.28.src.rpmpytorch-examples    rpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsXz)3.0.4-14.6.0-14.0-15.2-14.14.3^@^@^V]^O@^@^@]@\@Tomáš Chvátal Tomáš Chvátal Simon Lees Christian Goll Guillaume GARDET Christian Goll Christian Goll Christian Goll - Make sure to pull py2/py3 package from the devel pkg- Do not pull in python2 only dependencies- Exclude i586 builds for now, they fail with a cryptic return code of 1 from cmake from python.- updated to stable release 1.4.0, which has as Highlights: * Distributed Model Parallel Training * Pruning functionalities have been added to PyTorch - New Features: * torch.optim.lr_scheduler now support “chaining.” * torch.distributed.rpc is a newly introduced package - full Changelog listed in relases file or under https://github.com/pytorch/pytorch/releases and in the releases.hml file - added files: * skip-third-party-check.patch which is a patch to skip the check of disabled dependencies * QNNPACK-7d2a4e9931a82adc3814275b6219a03e24e36b4c.tar.gz which is part of pytorch but developed in different repo * releases.html which is the downloaded releases file - removed patch files: * fix-build-options.patch * honor-PSIMD-env.patch * removed-some-tests.patch- Requires python-PeachPy on x86_64 only, as it is optional and available on x86_64 only- updated the requirement for examples and converters- Updated to stable version 1.1.0, which needed also updates of following dependend sources: * onnx-1.4.1.tar.gz -> onnx-22662bfd4dcc6baebf29e3b823a051676f991001.tar.gz - Removed following sources: * FBGEMM-f65f0ebe54f0512d8f42ee10025b596e3f42e0b8.tar.gz - Added following sources: * foxi-8f74bc4df3a4cfc69b1a3eadf62aa29d9961c72d.tar.gz - Changed patch * fix-build-options.patch to work with new buid system and exclude FBGEMM - Added patch: * honor-PSIMD-env.patch, which makes depend sources of pytorch to use the source of psimd- Inital commit of pytorch/caffe2 which is an opensource machineleraning platform. This is the stable release 1.0.1 including like other tools a lot of third party sources, which could not be used from the base system due to messy build system. Additional sources are * gloo, a communitcation library for GPUs as gloo-670b4d4aa46886cc66874e2a4dc846f5cfc2a285.tar.gz * fbgemm, a low precission, high peformance matrix lib FBGEMM-f65f0ebe54f0512d8f42ee10025b596e3f42e0b8.tar.gz * cpuinfo, a cross platform cpu information tool cpuinfo-89fe1695edf9ee14c22f815f24bac45577a4f135.tar.gz * sleef, a function for elementary functions sleef-191f655caa25526ae226cf88dd2529265176014a.tar.gz * pytbind11, which exposes C/C++ headers to pythob, but the source code of this library is deeply integrated into pytorch, so we need pybind11-25abf7efba0b2990f5a6dfb0a31bc65c0f2f4d17.tar.gz * onnx, which is an format for exchaning neural networks as onnx-1.4.1.tar.gz * pthreadpool, a pthread based thread tool implementation, which can be used when omp is not available pthreadpool-13da0b4c21d17f94150713366420baaf1b5a46f4.tar.gz * FXdiv, a Header-only library for division via fixed-point multiplication by inverse, which has no stable API atm, so FXdiv-b742d1143724d646cd0f914646f1240eacf5bd73.tar.gz * psimd, portable 128-bit SIMD intrinsics psimd-90a938f30ba414ada2f4b00674ee9631d7d85e19.tar.gz * fp16, a numeric conversion library FP16-febbb1c163726b5db24bed55cc9dc42529068997.tar.gz * gemmlowp, self-contained low-precision GEMM library as gemmlowp-8416bab644641a5c0a81ecf91a5cda804af0aee1.tar.gz * fix-build-options.patch, which points pytorch to system libs * removed-peachpy-depedency.patch, which forces to use system peachpybuild75 16523251851.4.0-bp154.1.28python-torch__init__.pychar_rnn.pyimagenet_trainer.pylmdb_create_example.pyresnet50_trainer.py/usr/share/doc/packages//usr/share/doc/packages/python-torch/-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/f14f0ec82c3667e78cb9873bbf69a3cc-python-torchcpioxz5x86_64-suse-linuxdirectoryemptyPython script, ASCII text executabley2,.?e python3-lmdbpython3-networkxutf-8a6748945a8079ec48378166632db5a28a01410b35cde0df77fd56a8e8282f4a0? 7zXZ !t/3'] crt:bLL &q GOts"ؓw[~$23C{f@s}'e,Vߩb4?JJC(O46ȩson`Hϸq{g͙J#̯~nIR)}^E2ћUo}0Y[< \>s`^w=<:F]P@m)OO)072} (UCW9kq(./OgTV9=oHWq"SW?ulw^'u;~$"%y0F 3z@tq!q"I ~4^YpȂ("4O݁N)I‹*LDSWϾoeH,Pi#?6$+z}\kh{ 0=%q[;6[b%P3Cݾ(u\}ٝ'E18 {kԚ  pPa2*ZK77G/iϋMfVԅ98v{vv)$7XaƗtWuVРR_W uEV֔_zA}1շ<.G?͝DAHJGyz@ƾ'93Naz{c7ɓ/o#I?:!k韅mhNǙύT{~h1s߂!,hxԡ}%&Zsð~_8 zV9s]SfW)5!Z&RE1Bo99D1 ߐ yiwJS;^1bc6041l + RO- zfgv5EL^f%t b^Di_gj?oi5 YQ1ѡVBc[S)na'#ys, %Uβ`h`GipcDп?/iI۶3#W%i8W@Uڶ{>>(_*\^.&or.{t-uݱwsaӼY{K f&;p?2ؖyvB{&*)8eCPO\:orCܽtoN+:c$bT<>Me6ǠO<رU+"+B`cfH9{E)gIS*a B렲]1W~W+inGl!'v/gnew2!B-E1 mn=u;Z*:;PQ}}Wd=yM3%~Hԑs xO|42wp%1&wyBX#cQٖ2U^‚ĉ>cM*7JꝡtmH[1E Sq-5ٜO^6)k\Sx^LEL$?x/"m!hIߧ&gewkʢW)xo_8qJp2=ke=ZdWM0Xi3»LhܹvB,?lW]renǦ+yه ,#|m~i6~*V[^E9&I}W_u~ 4(i5jJ Mي&- 5Ӟ"ΎKrѦ ghSg܏nL*JlJmҲv6:s٫9JMSiDKۊ:<4.@婱 =h?LeSmH v˖1 w{tTj襇{ qT$8W,?bYO>z]RV~PŇӃH~`'옄-jL9v,rni[7$$ 34(M??Ը׍K; yla*ah֙IlgPy!fT͇v}8dH70PJlfX0TIj2KY_"]ws}sהא`Tx5A5Mi^pt_F:28eՉ[So}3erQc!i`xfyC8LpFX'ʲ <ƘMFDe.nZv" 96ux122UF74r}݉;W#T} #*βW^.)aH% x_4\;r)*jh¨E?eu0 ']r龓tUь5.ZX5)B786X~F7+~d etr ﬜~]HƎ aJ@5m X/*$î' &\;1̐Y#r773s3:j^ Hj|V9t+b+| x-ۜ@{Ũν(FT,DžhUaLETZ p3ð<γLFAv< ݶyRUr|8QÆz+ފصDR h]XT ?^ r7Anj,q#%9 58;:\C-.TuҪ97Eqh:ހHnKW 2-Ō+.)uЦgT &I!owbD`E⶧=(S858  1_J0s#K(k%,u t+_zUҒl*dE|-5L.:!xU7xKJ x2"V;#"BC2!cq [8Uż6W<#pZ7Hb*U7?{U a_˻Z-[zg!ix=OxČG9[|7\uU6h{ͩy54Z$f* ;*auc AI>#XP%_trމz}9s]kwh]IcN":D$\s9yl>$M͖eKej&ƩjLqA{eKze!RWc[0[+$xQH[DtF<`hLSCIl$F%m";J O/,gI'O#Zb sBF2>q$o߲u f g3u|yuNz˟>(Rj#Ŧ`;TT#](tEU1N$T1#'<Fv)6 8Ż)35?Њv-"~@zGQ6CT9 ; BJ{{<'z&QgFC#!ViތG^.b{*@Z;\M%zj}xЖӡc}Rٺ z/8'92bgd$˜5Bo6qhD&C`D=Q޺.xY>e8x]07$^-=Y9Ald1@4)穇˂~QږW :u1Š ^9IM'ݜؤeDVv߷+I6R̅W_JGщ6'o͈ir> SIO]QkJfݝ6׌] jĀWxiȏL@+7A`ŌKQɁQ=O6y{9KaayR.QGpZĬ͐|mS;NX}Y'Nl J;f#\vyjvH*sc$3p32`.PB9Z]["eO^+Mi(R_y(WH1bd>Yy@N#.i_ g,8/=D>.*'?,4İF#Dٯ^P }tTƦ3?4yub%AP5;Ce8L5 +㫖%8 O$HwJp RY5/4v> ,TdGxF8 b Jެ֤DS.NuWb> n:d% w/wr>(</)OgAmZ}=4ȁiݻm#J|l UQߋFQ$8E-zjt0+~WZƾ6mGY/ {橯,G5E1p^Bܚ${R¢nXN J99Rkp?SI]T)&z VuKC"~)65-ܟbK$[}]oF8@s.)}'d=_s t:D6cP8rLYl < '&~ Ny[ġDѧFD/'ŚU7nj1”qWvYNYhp\H˺[YӘhq @ߍ Y=]G5tӞO1 1T5Ggj+F#g2Z$1Ѯ+\D֥MWH!ڔ|%Z c`FCE3f8>R Xyݍ e܁jc K0vKKgVXpya:m삱etI PjBߴ}0_K3}@%,>~a͘o!sٝ).)wE=,ZYM') RZv!bļ=rE߲ B?ttkI'ukbTQ(&YZ_N2lͶo&wE&W!qԕM4@ qŞCP=:;xJrd=[NS}dpsj-&iSjeǟ-?p;㴔=~=2Ƭy\]Y0FmAXRlKSǑ7䤳B>u+o3<{"{ڬSBcыѼbCAKRvb~ߎc{L3V_:,=H K؄s.ݜQHCMbrׄ۠a΀k{Nҿ"O w̧\h9 z(wvMAPװwkqW8aؽ׏ǽ%iܡpLy'@ʬ߮ޘC; [뽳GI=q00l' )OwUХ+l\a۳(ɶ饽*PٿaZpGF+%U2P ûNYRfu^Gi4J&!5Pn_p(\Icԓ+  b?:Hɉǎf rCU(4_]ĩS^rI :%hs$#\Njieo.Ǿ-,'"_ToR҅knݼ%j "Ў]S3.қ$6n;}Vuc+$Ԉ >xuHF*n06j{j޸O1^'6YǐҕjhBaO^]ڑ1zҤ 䬡t7;1/|K`˘^ мOɊ8{}>@@ \2 yc]Uo < N9>Ό4rV2Z%ץ,8Z೶k'"X.R8_Q503=Rrdχլ$`qGalB|"RY*J-dG=FAo+}^nj;`$~4vs`pgLs ӱu%;2$>jQ76^cfu c4vW{{ J+b1"Vp B|i_,[y-6";dRlHfBm^I&y^ h̆ EupDNh†&A1:Ro?6Iь,9Xv9-*jKf<ʏL;CL&61uh@q#dUz5kqD2s^X>> = lQ-6Ǝ]|/Z^-ߐI_Z`*o~.)7:1&n+8=]>;I+S4 oEq7HOeL YZ