pytorch-examples-1.4.0-lp152.3.2 >  A ^/=„b ýs$&ap7ee1;cǣl Ulc}NJ]ζ.|;=N4ZMN$O9~_\K.*{Y Nms5ȀDm98yHy "Βe^kx ogX~uy@~7PFntBZir/كFU7ȢXks5A$4Dzy f( OpUHb}2`%_["sma0_xoH1d4b32540941004c82b8028a773a3b259634b9bc71ed1e2646ea810532abdcdd754288ac656748d9fa7791411105449090a7fdc5bB$^/=„V}b# =+^s"f~H!,֯)NGzC="4>VsI#:= +쪴/),4^g=إ#dWN Hzu%|oWp6E|qԌx,พ͆lnh;i~0;+1 kFh\u E SLKbL 8 5 ~+63l8Bd&]&}eg|baUlXvEѷ ͊Qpuvs}N+m+4>p>X?Hd # J  $AU[d|     .Lt(/889X:oF.G@HXIpXxY|\]^bGcdSeXf[l]upvzDCpytorch-examples1.4.0lp152.3.2Examples which can be used for testingThis example files can be used to start an own pytorch/caffe2 project.^lamb70 openSUSE Leap 15.2openSUSEBSD-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 mkCA^^^^^^e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855a7b69e1cb4b2f76fdb4d5d4665d503d79884cdf908e67c7ddb1fe93d8eb5d80be9d56de9f195942144a3917983c2d13c00f4e7062f35863abf5c2289705a8d16ba0b75b16050246ebfa6c4474aef335ea342e8078fd80b41d65f7759eadd950ce9d56de9f195942144a3917983c2d13c00f4e7062f35863abf5c2289705a8d16rootrootrootrootrootrootrootrootrootrootrootrootpython-torch-1.4.0-lp152.3.2.src.rpmpytorch-examples    rpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsXz)3.0.4-14.6.0-14.0-15.2-14.14.1^@^@^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 peachpylamb70 15896821601.4.0-lp152.3.2python-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:Leap:15.2/standard/f14f0ec82c3667e78cb9873bbf69a3cc-python-torchcpioxz5x86_64-suse-linuxdirectoryemptyPython script, ASCII text executableDK/l\6python3-lmdbpython3-networkxutf-8f3b7f7e3a15fb6dc4055e064ea5bc30454338b5fa4387274d855457fa158a3c6? 7zXZ !t/3'] crt:bLL iмk{qx*(rpcAcD}kCpf']{^M$>M38v4[D\rI2<-{9 ,*jۜE>i}@(<AV(`#@FJNm$s]G^{_`yBMFakK+;/1勆"DcX*q<;`g孿J 1}uV~ 7i,mkWE#b+#AOR_}ΩEڂR֦t$J+^}'Y{Z-p$n(-_z=y\mrXOʕd6ĐVCŘd0;ϲXnĎ~ 0̶fҍtLY/_ԧBwR;Y=_|:SD8ËLy :+Jb,S@icՂZD1:Bx={xrSvG<)O*`:IYSTYltJ.vP~O`.-g!t&;)?Mpc2V~@,[o7R N`` .0tP`#NcQ FT@ZP 3czK22Q'Ш(m_DmzK/3v"!Ǝ4)~%q2®q&~sO$$IT d5Ewe :qٲ^n3;/lJnQצ3<#ezlε~Ʋ&ѯv= gC^wWs\Al;5z{]xCҜCj^V\Y;+ T4OyriΎw]$f~n213i^3&{XץIUvnW2G`cƯk/yQ5ٲvid^8:(TYasPt\t &&^Gϯ9ìyH:芦7n2 %[+TJ)uŎ4ɤjK)M;1Y|;h$=zHLlv~Gd3`{_$EQd ՜S}>UK[ 3Msр) A6K>*iw"\B2Ʈgh# ݽme{By31Rڡ/aGDuXH Og c B5&Ud C^ZKRW;ELV}pM:{<k "oC!aڀ="#1Ur.O54!ګVɱb1o)и  )C,RSkSuFZl5bmC9UZE(ٺ$Ef\G0qSx BuUI&t oѤFc;]}9$:ɯk(C&q&~r,0wp߇ ӁZbÉCC姘 XL|x0AM C=[HVtފQ_L3OZ\ԡ9 q^ כ"y]% ns]#Yjث ĝ S˰3 7ە~qE/G0 2S@€q,-K"\/zb\ u2y'Cpw#gEb(+CɮX=J2tlN= 2XJHBE|,[X}xq|w|E#5Gj1$=w.e5՛&ʑ,WS)KU͓<=n*3C=.E3`dB} a$b96W )&Xnb_ա(t $­X2 ?+yO/ڃQ6JO\`‹^+1\h\$JƋOeq=fM| "[8 vUb#+p4XeNJnqnDzK ]Lc` 1EM$Z > F DzJ2NHРރ ;,诜NSm Bii9<-_C7 q7Cu ^1"P\Sbiّz '32^"4z,FZgB{ aXqFG$fْ7#YX+6Ց0,G$,`p>gQB9u k j]#JI Pe/U"iRXn6\)R #$gH:«-yXY.UTG2El[w@=A>9/Af_04p|Kg"aTƃ@<*;1fC ~#TOi()Fgi; @d}ҐJo5qNo GL_:ϝh6)W]T@/;h*#&y][` $q<Ƨa3V]V%MDž`ՌY~BR_mE93p2Gn"ȄQ t-cI1<,C7ư9'eCe[E+yN}Gi #pKV?>9u-C":nIB%PBW^QMl!sWu@Vv/tx>fpm%rq8{f27pJ BL$(f.3ahhb5: jiOc N=E97yʦLiЩTt4w<Ҟ ZvXGZt/+%z_I;?uj(̄BVvE rRϺ5 }2xulxoUxhox`_!9CjϨ=wE8.yW}ɑը ߌQ+KTCsD12J>nz[ךҋWTBU`f2TQFl+(WzY;f:X2KUJP4mAAjS4N}8 ΚVm>(u/1rAMaHY٨ ƺ#"mϙ!P0cFWڳ.Se}{o6M~`Tv!#VWc =֤XîL{ h!Չ!%i,ʚxWv ,0I7(bPSC47ͽTs Gw-J[8D ibτQ:jܜ My$rʥ@| zelE%J~foa1ONhC];m"39ۯ*8$XSCz269#twH웤 ۩%vy_Dс;jW$D@H/O:u9mXxGM6(QD8%ע9TF!s'O\rZWDYmIK 1蝹8QU]@?^Zhbܞ[u' Ji)zu%Y_@VS95x`KXgRƦmH7Gw)ޙ:)*ݏ^IΑ`ٙTܟ 9q5[PD1=v}"d 9 ^ƼA~G1XoC8`{2|65/\)~A ijc VN8zs8BiOQD樻šjO h|ΪWEY: ;8%b` TQdCMj|7W{Y7Z~3czoO} 60=AK{hج\XrDZP{]2` +GhgJ9hk\q#'t^t-/j;|K_Q.2lA&`&Aﲬ ;;_VQ-;f) @;~uo:__H/IA Hju7T|:R}euAgbxvfyyziȪg:7bAC❉hϲ5\emi145`1<:G42Ew=Lɮ(%]vyh\!؛)UI=+=c;{jK+nZ{9}_'2|-F\*%`Xc .~c3Rxmt# Pge3_6ف8{v/ y׫T,4M\2-e=x,Pk.u AƱM.N)sZr@A kA?d3E|_Bm)CS[Fθ5G_ 3LVP%%?j$i 48X4;[|9ޥک'#P3]uPC;_0D{}< (37~&< ~z׼B fXb{#<=ظH?Ӈ^t@.KVd4z.4B'xB[5ޤ ^'9aZ~ڒb95.Nuت8O,m+Kx0VX9l >ܙs+5zl $VjS P[k:[A Sqqm?R$TqW\\)4? %whdٮ-us5w m#R8ʞG<8`AW%J1:s|ԖrM9n 5s2S$X834M`Q$6IJI NQL]y|BWu+}> T\Oc.M7ŋ/X\z] ^A~:3x[nCI=1Eq:I=޷!y>a"TGEڥT8{zIꟖm `׶iѮ/ Z ;ofeQxū]j⌡uppr`1=Ȏ2v}rEFҦQ"jt7JBS*|3&sܒi{Q fvm7Ձhlڙ}K͛A-SZv b12d艓9r9+O& U uO˕G",Ӄkǐ1/ Ns6r gwԓ WHMc4c\&OB|5 t2 .ՉZ*Qo6[#&3@ :yz7NﻮFu$FǜCJ1կדRX\?S PBe/Hݘr|?hĢS3:N#O_Ocoj%3 fSΜdvmNB/$9B.I"m[(R\P=A g̚*vaqg/~:4*?W3%Zd,"Ǝ6Mc׽{(6 g"еS(:ٹGW!kϙF!GAXMZ'xO*}P$o dafLHD f2B޺]/J" 0.fsT&.i'S#4!3Zcukik˪Ck%/5ȺPԀu==JYۜ^vl4ɏōyrAchX~zko` sG2fS36UBeԃi{ch}eS\v3@|52SRF|E5$On tj菏MIF.M&'=\+5toMqmJy*ֻ̧K1?=ē|;3]×;VِZzDe_E$ny~:שH]ԉ4U+I^hxx1Fu5H pk;i:) y+YyASrdfRKɖH~NYt(p e=i1B2 ub6q8~2ȳ`^gWX4C䷂?<Ýbj{1I :zFoAx⇍i<`LTlBܥ P)a'K?L}cyg^Jy? 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