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ຊΞΠɾϏʔɾΤϜגࣜձࣾ
ςΫϊϩδʔࣄۀຊ෦
ΧελϚʔɾαΫηεࣄۀ෦
ϓϦϯγύϧɾϚωʔδϟʔ
େ জ
"LJSB0OJTIJ!JCNDPN
IUUQTMJOLFEJODPNJOPOJBL
XBUTPOYBJ %PKP
ੜ"*ͱ͖߹͏ͨΊͷ४උฤ
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ࣗݾհ
1SPQFSUZ 7BMVF
ࢯ໊ େ জ
Y-JOLFE*O POJBL
*5ۀքྺ
ۙͷ৬ྺ Microsoft
*#. ࠓͷ݄͔Β
)BTI5BH ͍͍Ͷ͐੩Ԭੜ׆RVBOUJD
࠲ӈͷ ౿·Εͯͳ্ཱ͓͕ͪΔಓͷ
Α͘͏ٕ มͰࣗΛϙδςΟϒʹ
IUUQTXXXGBDFCPPLDPNBLJSBPOJTIJ
'BDFCPPLʮ͓ʹ͋͘ʯͰݕࡧ
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త
ϏδωεͷͨΊͷ"*ɺ*#.XBUTPOYBJΛΔ
"*ΞϓϦΛ࣮ߦ͢ΔͨΊͷٕज़γεςϜߏΛΔ
ΦʔϓϯιʔεʹΑΔ"*ٕज़ͷ͍͔ͭ͘ΛΔ
ΰʔϧ
*#.XBUTPOYBJ%FNPαΠτΛࢼͯ͠ΈΔ
ΦʔϓϯιʔεʹΑΔ"*ٕज़Λࢼͯ͠ΈΔ
͜ͷηογϣϯʹ͍ͭͯ
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%FNPΛݟͯײ͡·͠ΐ͏
εϥΠυ͚ͩͷߨԋͰͳ͘ɺ%FNPΛަ͑ͨηογϣϯΛఏڙ͠·͢
श͏ΑΓ׳Ε·͠ΐ͏
ٕज़Λମݧ͢ΔͨΊͷԋशΛ௨ͯ͡ɺٕज़ΛֶͿ͖͔͚ͬΛ࡞Γ·͢
࣭େܴɺηογϣϯΛҰॹʹ࡞Γ·͠ΐ͏
ߨࢣֶࣗͼͳ͕ΒηογϣϯΛ࣮ࢪ͍ͯ͠·͢
օ͞Μ͔Βؾ͖ϑΟʔυόοΫΛͲΜͲΜڞ༗͍ͯͩ͘͠͞
ػցֶशϞσϧ"*ϞσϧɺXBUTPOYBJΛ༑ୡʹ͠Α͏
࠷ऴඪɺօ͞Μ͕طଘͷϞσϧΛͬͯɺ"*ΞϓϦΛ։ൃ͠ɺར༻
͢Δ͜ͱͰ͢
୭͕࣮ߦͰ͖ͳ͍ɾқ͕ߴ͍ςʔϚʹ৮Ε·ͤΜ
ػցֶशϞσϧ"*ϞσϧΛθϩ͔Β։ൃ͢ΔੈքऔΓ্͛·ͤΜ
XBUTPOYBJ%PKPͷάϥϯυɾϧʔϧ
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XBUTPOYBJ%PKPୈճͱୈճ
ճ λΠτϧ ࣮ࢪ
ੜ"*ͱ͖߹͏ͨΊͷ४උฤ ਫ
*#.XBUTPOYBJΛ׆༻͢Δʹ͋ͨΓɺੜ"*ͱ
͖߹͏ͨΊʹ͓ͬͯ͘ͱྑ͍ٕज़ʹ͍ͭͯɺ
͘ઙֶ͘ͼ·͢ɻಛʹલఏࣝෆཁͰ͕͢ɺ
1ZUIPOݴޠΛ͓ͬͯ͘ͱɺཧղ͕ਂ·Γ·͢ɻ
ΦʔϓϯιʔεطଘͷϥΠϒϥϦΛͬͯੜ
"*Λಈ࡞ͤ͞ΔͨΊͷڥͷશମ૾ΛΔ͜ͱͰɺ
"*ϓϥοτϑΥʔϜͰ͋Δ*#. XBUTPOYBJͷओ
ཁͳٕज़ཁૉΛֶΜͰ͍͖·͠ΐ͏ɻ
ੜ"*ΛͬͨΞϓϦ։ൃɺೖฤ ਫ
*#.XBUTPOYBJͷϓϩϯϓτϥϘΛͬͯେن
ݴޠϞσϧΛૢ࡞͢Δํ๏ɺग़དྷ্͕ͬͨϓϩϯ
ϓτΛΞϓϦ͔Βݺͼग़͢ํ๏Λֶͼ·͢ɻ
*#. XBUTPOYBJʹଂ͞Ε͍ͯΔେنݴޠϞσ
ϧΛΓɺ͍ΖΜͳϞσϧΛ࣮ࡍʹࢼ͍͖ͯ͠·
͠ΐ͏ɻ
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XBUTPOYBJ%PKPୈճͱୈճ
ճ λΠτϧ ࣮ࢪ
ϓϩϯϓτΤϯδχΞϦϯάೖ ਫ
େنݴޠϞσϧΛૢ࡞͢ΔͨΊͷϓϩϯϓτΛ
࡞͢Δ্ͰɺิॿతͳใΛՃ࣭͑ͯͷҙਤ
Λ໌֬ʹ͢Δํ๏ɺྫࣔʹΑΓճͷਫ਼ΛߴΊ
Δํ๏ͳͲʹֶ͍ͭͯͼ·͢ɻେنݴޠϞσϧ
ʹվྑΛՃ͑ͣʹɺظͨ͠ճʹ͚ۙͮΔํ๏
Λࢼ͍͖ͯ͠·͠ΐ͏ɻ
ੜ"*ΛͬͨΞϓϦ։ൃɺԠ༻
ฤ
ਫ
େنݴޠϞσϧͷ੍ࣄ߲ΛΓӽ͑ΔͨΊʹɺ
3"(-BOH$IBJOΛͬͨ"*ΞϓϦͷ։ൃʹͭ
ֶ͍ͯͼ·͢ɻ͜Ε·ͰͷճΑΓएׯқ͕
্͕Γ·͕͢ɺαϯϓϧίʔυΛݟͳ͕Βɺงғ
ؾΛ௫Έɺօ͞Μ͕։ൃ͍ͨ͠"*ΞϓϦͷ
ΛߴΊ͍͖ͯ·͠ΐ͏ɻ
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XBUTPOYBJ%PKPୈճͱୈճ
ճ λΠτϧ ࣮ࢪ
ϑΝΠϯνϡʔχϯάͱ
*OTUSVDU-BC
ਫ
࣭ͱ͑Λ༻ҙ͢Δ͜ͱͰɺେنݴޠϞσ
ϧʹ৽͍ࣝ͠ΛՃ͢ΔͨΊͷϑΝΠϯ
νϡʔχϯάͷํ๏Λֶͼ·͢ɻ·ͨɺاۀಠ
ࣗͷେنݴޠϞσϧͷܧଓతͳվྑʹ࠷దͳ
*OTUSVDU-BCʹֶ͍ͭͯͼ·͢ɻ
ܧଓతͳ"*ΞϓϦ։ൃͱల։ ਫ
͜Ε·Ͱֶश͖ͯͨ͜͠ͱΛΈ߹Θͤͯɺେ
نݴޠϞσϧΛར༻ͨ͠"*ΞϓϦͷܧଓతͳ
։ൃͱల։ͷํ๏Λֶͼ·͢ɻاۀಠࣗͷ"*Ξ
ϓϦ͚ͩͰͳ͘ɺ"*ΛΈࠐΜͩιϦϡʔ
γϣϯͷܧଓతͳൃలɺύʔτφʔΤίγες
ϜͷൃలͳͲΛҰॹʹߟ͍͖͑ͯ·͢ɻ
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օ͞Μɺੜ"*ΛͬͯɺͲΜͳະདྷΛ࡞Γ͍ͨͰ͔͢ʁ
օ͞Μͷؾ࣋ͪʹ͍ۙͷΛҰͭɺνϟοτཝʹࣈͰճ͍ͯͩ͘͠͞ɻ
"*ΞγελϯτΛ࡞ΓɺۀΛΑΓޮΑ͘ਐΊ͍ͨ
ίʔσΟϯάΛࢧԉ͢Δ"*Λ࡞Γɺ։ൃظؒΛॖ͍ͨ͠
ઐՈͷࣝΛूΊͨ"*Λ࡞Γɺ͋ΒΏΔੜ࢈ੑΛ্͍ͨ͠
اۀσʔλΛֶΜͩ"*ϞσϧΛ࡞ΓɺϏδωεͷՁʹܨ͍͛ͨ
ଞͷاۀͱڠۀͯ͠"*ιϦϡʔγϣϯΛ։ൃ͠ɺൢച͍ͨ͠
ੜ"*ΛͬͯΈ͍͕ͨɺԿ͔Β࢝Ίͯྑ͍͔Θ͔Βͳ͍
·͕ͣࣗࣗੜ"*Λֶͼɺ"*ਓࡐʹͳ͍͖͍ͬͯͨ
࣭
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γϯϓϧͳϢʔεέʔεͰখ͘͞"*Λ׆༻͠ͳ͕Βɺ"*ΞϓϦΛ։ൃ͠ɺ
ஈ֊తʹൃలͤ͞ɺۀͷσδλϧԽΛਐԽͤ͞Δ
ϏδωεͷͨΊͷ"*ɺϢʔεέʔε
จॻੜ
࣭ٙԠ
ίʔυੜ
ྨ ݴ༿ͷநग़ ཁ
ݕࡧʴཁ
3"(
ࣗಈԽ
3"(3FUSJFWBM"VHNFOUFE(FOFSBUJPOɺ"*Ϟσϧ͕Βͳ͍ใΛݕࡧ͠ɺͦͷ݁ՌΛͬͯ"*ϞσϧͰςΩετΛੜ͢Δ
ςΩετ
ੜ
༁
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நԽ͞Εͨ"*ΞϓϦͷߏ
ೖྗ
ΫΤϦʔ
ग़ྗ
"*--.ΞϓϦ
ϏδωεɾϩδοΫ
"*Ϟσϧ
ػցֶशϞσϧ
ϥΠϒϥϦ"1*
খ࢝͘͞Ίͯɺ
ར༻͠ͳ͕Βൃలͤ͞Δ
ຊޠϞσϧ͚ͩʹ߆Βͳ͍
·ͨϞσϧਐԽ͢Δ
"*ΞϓϦͷ࣮ߦڥ
ʢ"*ϓϥοτϑΥʔϜʣ
ΞϓϦΛ
ίϯςφԽ͓ͯ͘͠ͱ
ཧ͕؆୯ʹͳΔ
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*#.XBUTPOYBJੜ"*ɺػցֶशɺ/PUFCPPLͰͷରॲཧͳͲ
4BB4Λ׆༻͢Εɺࠓ͙͢ʹখ࢝͘͞ΊΒΕ·͢
*#.XBUTPOYBJɺ"*ΞϓϦ༻ͷϓϥοτϑΥʔϜ
νϟοτܗࣜͰͷར༻ ϓϩϯϓτ࡞πʔϧͱ
֎෦ΞϓϦ͔Βͷϓϩϯϓτ࣮ߦ
IUUQTXXXJCNDPNKQKBQSPEVDUTXBUTPOYBJ
จॻIUUQTKQUPLEBUBQMBUGPSNDMPVEJCNDPNEPDTDPOUFOUXTKHFUUJOHTUBSUFEXFMDPNFNBJOIUNM DPOUFYU XYBVEJFODF XEQ
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*#.XBUTPOYBJ%FNPαΠτ
IUUQTEBUBQMBUGPSNDMPVEJCNDPNDIBUMPHJO
͓࣋ͪͷ*%ͰϩάΠϯ
*#.*%
(PPHMFΞΧϯτ
-JOLFE*OΞΧϯτ
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*#.XBUTPOYBJ%FNPαΠτ
ཤྺ Ϟσϧͷબ
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IUUQTKQUPLEBUBQMBUGPSNDMPVEJCNDPNSFHJTUSBUJPOTUFQPOF DPOUFYU XYQSFTFMFDU@SFHJPO USVF
*#.XBUTPOYBJແྉධՁ൛
*#.$MPVEͷτϥΠΞϧɾ
ΞΧϯτΛ࡞
ແྉͷXBUTPOYBJڥ
ɾ8BUTPO4UVEJP
ɾ8BUTPO.BDIJOF-FBSOJOH
ɾ*#.$MPVE0CKFDU4UPSBHF
ΫϨδοτΧʔυΛొ͢Δͱ
ैྔ՝ۚΞΧϯτͱͯ͠ɺ
*#.$MPVEͷશػೳ͕༗ޮ
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"*Ϟσϧɺ࣮ମχϡʔϥϧωοτϫʔΫʢԋࢉʣ
ෳͷӅΕ
ೖྗ ग़ྗ
ϞσϧͷॏΈ͚ͮ ֶश͞Εͨύϥϝʔλʔʣ TBGFUFOTPSTͱ͍͏ܗࣜͷόΠφϦʔϑΝΠϧ܈
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χʔζʹ߹Θͤͨج൫Ϟσϧͷબ μϥεσʔληϯλʔ
ਪϞσϧ
ඇਪϞσϧ
"*ϞσϧͷਐԽʹ߹Θͤͯɺ
৽͍͠ϞσϧͷҠߦ͕ඞਢ
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χʔζʹ߹Θͤͨج൫Ϟσϧͷબ ౦ژσʔληϯλʔ
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ࢀߟ*#.XBUTPOYBJͷٕज़ελοΫ
IUUQTEFWFMPQFSJCNDPNBSUJDMFTBXCUIFPQFOTPVSDFFDPTZTUFNPGXBUTPOY
XBUTPOYBJΦʔϓϯͳٕज़Λ
׆༻ͨ͠"*ϓϥοτϑΥʔϜ
˞શ͕ͯΦʔϓϯιʔεͰ͋Γ·ͤΜ
ʹ*#.͕తࡒ࢈ݖΛ༗͢Δίʔυ
ؚ·Ε͍ͯ·͢
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ֶशࡁΈͷσʔλΛͬͯɺςΩετը૾ͳͲΛੜ͢Δ"*ΞϓϦ
ੜʹ"*ϞσϧΛͬͨܭࢉʢ"*ਪʣ͕ඞਢɺ(16/16Λར༻
୯ͳΔνϟοτϘοτσʔλϕʔεͰͳ͍͜ͱʹҙ
ੜ"*ɺͦͷ࣮ମ"*ΞϓϦ
ೖྗ
ΫΤϦʔ
ग़ྗ
ճ
"*ΞϓϦ
ϏδωεɾϩδοΫ
"*Ϟσϧ
ϥΠϒϥϦ"1*
"*ΞϓϦͷ࣮ߦڥ
ʢ"*ϓϥοτϑΥʔϜϋʔυΣΞͱιϑτΣΞʣ
ೖྗ ग़ྗ
લॲཧ ޙॲཧ
ϓϩϯϓτ
։ൃ
ΞϓϦ։ൃͱల։
όʔδϣϯཧ
ΞϓϦͷධՁ
ϞσϧͷධՁ
Ϟσϧͷཧ
"1*࡞
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ήʔϜΤϯλʔςΠϯϝϯτ
ݐஙۀɺߴͳࢹ֮ԽɾՄࢹԽΛཁ͢Δۀ
"*σʔλαΠΤϯεɺ(1(16 (FOFSBM1VSQPTF(16
ͷԠ༻
(16 (SBQIJDT1SPDFTTJOH6OJU
𝑎!! ⋯ 𝑎!"
⋮ ⋱ ⋮
𝑎#! ⋯ 𝑎#"
𝑝!
⋮
𝑝"
= ?
𝑎!! ⋯ 𝑎!"
⋮ ⋱ ⋮
𝑎#! ⋯ 𝑎#"
𝑝!! ⋯ 𝑝!$
⋮ ⋱ ⋮
𝑝"! ⋯ 𝑝"$
= ?
(16%ը໘ͷඳըͷΈͳΒͣɺ
ߦྻԋࢉɺฒྻॲཧ͕ಘҙ
ˣ
"*ϞσϧʹΑΔܭࢉ ਪ
ಘҙ
(16ʹՃ͑ͯɺ"*ਪʹಛԽͨ͠
/16 /FVSBM1SPDFTTJOH6OJU
ͷ
ར༻͞Ε͍ͯΔ
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Ұൠ͚(16ͷྫ/7*%*"(F'PSDF359
https://www.gainward.com/main/vgapro.php?id=1162&lang=jp
/7*%*""EB-PWFMBDFʢΤΠμɾϥϒϨεʣ"SDIJUFDUVSF
https://www.nvidia.com/ja-jp/geforce/ada-lovelace-architecture/
ओͳεϖοΫ
τϥϯδελ 763ԯ
CUDA Core (γΣʔμϓϩηοα) 16,384
Tensor Core 512
RT Core 128
GPU ΫϩοΫ 2.23GHz (ϒʔετ࣌ 2.52GHz)
TDP 450W
PCIe 4.0ଓ
https://www.4gamer.net/games/656/G065603/20221010003/
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αεςφϏϦςΟʔɺΑΓফඅిྗͷ͍"*ϓϩηοαͷ׆༻
*#."*6ɺ(PPHMF5SJMMJVNɺ"845SBJOJVNɺ.JDSPTPGU"[VSF.BJB
ΫϥΠΞϯτଆσόΠεͷ׆༻
*OUFM"*1$ɺ".%3Z[FO"*ɺ.JDSPTPGU$PQJMPU 1$ɺ/7*%*"359"*1$
(PPHMF(FNJOJ/BOP
"QQMF*OUFMMJHFODF
খ͞ͳݴޠϞσϧͷ࣮༻Խɺ8FCϒϥβʔͷੜ"*࣮ߦ ࣮ݧஈ֊
.JDSPTPGU1IJɺ8FC(16ɺ8FC//
"*ؔ࿈ɺ࠷ۙͷςΫϊϩδʔ͔Βײ͡ΒΕΔ͜ͱ
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8JOEPXT%JSFDU.- /16(16
*OUFM/16 "*#PPTU
Λಈ͔͢
8JOEPXTΞϓϦ
0//9SVOUJNF
%JSFDU.-
*OUFM/16 "*#PPTU
8JOEPXTΞϓϦ
%JSFDU.-
(16
%JSFDU%
ಈըͷϦΞϧλΠϜղ૾දࣔ
IUUQTMFBSONJDSPTPGUDPNKBKQXJOEPXTBJEJSFDUNMENM
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8FC(16
IUUQTIVHHJOHGBDFDPTQBDFT9FOPWBFYQFSJNFOUBMQIJXFCHQV
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8FC//
IUUQTNJDSPTPGUHJUIVCJPXFCOOEFWFMPQFSQSFWJFXEFNPTTEUVSCP
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"*ਪͷ࣮ߦڥɺશମΛ၆ᛌ͢Δ
IUUQTQZQJPSH
IUUQTIVHHJOHGBDFDP
ίϯϐϡʔλʔ
8JOEPXT-JOVY04
1ZUIPO
1Z5PSDIͳͲ
$16
(16ϝϞϦ
ϝϞϦ
(16
ϝϞϦ
(16ϝϞϦ
/7.F
44%
(16υϥΠό
(1(16ԋࢉϥΠϒϥϦ
ྫ/7*%*"$6%"
"*ϞσϧΛར༻ͨ͠ΞϓϦ
ϋʔυΣΞநԽϨΠϠʔ )BSEXBSF"CTUSBDUJPO-BZFS
$IJQ
ηοτ
/FUXPSL
*OUFSGBDF
طଘͷ"*Ϟσϧ
ࢲ͕࣮ͨͪ͢Δਪ༻ͷίʔυ
"*ϞσϧΛͬͨܭࢉ
طଘͷϥΠϒϥϦ
ిݯϢχοτ
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1ZUIPOݴޠͷϓϩάϥϛϯά
IUUQTXXXQZUIPOPSH
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.JDSPTPGU4UPSFΛ։͖ɺ8JOEPXTλʔϛφϧΛΠϯετʔϧ
IUUQTBQQTNJDSPTPGUDPNEFUBJMOEYIL
8JOEPXT4VCTZTUFNGPS-JOVYΛΠϯετʔϧɺ6CVOUVڥΛ࡞
ཧऀݖݶͰ1PXFS4IFMMΛ։͍ͯɺ࣍ͷίϚϯυΛ࣮ߦ
wsl --install -d Ubuntu-22.04
ΠϯετʔϧޙʹγεςϜΛ࠶ىಈ͠ɺ1PXFS4IFMM͔Β࣍ͷίϚϯυΛೖྗͯ͠ɺ6CVOUVΛ࣮ߦ
wsl -d Ubuntu-22.04
6CVOUV͕ىಈͨ͠ΒɺϢʔβʔ໊ͱύεϫʔυΛઃఆ ͖ͳ໊લͱύεϫʔυͰ0,ɺϝϞΛΕͣʹ
Enter new UNIX username: ilab
New password: llm
Retype password: llm
ڥͷΞοϓσʔτ ύεϫʔυೖྗ͕ඞཁ
sudo apt update
sudo apt upgrade
1ZUIPOͷόʔδϣϯ֬ೝ
python3 --version
1ZUIPOͷ࣮ߦڥΛ͑Δ 8JOEPXT8JOEPXT
ɿ1ZUIPOͷ࠷৽όʔδϣϯ
͜ͷ%PKPͰΛ͍͖ͬͯ·͢
7JTVBM4UVEJP$PEFΛΠϯετʔϧ
https://code.visualstudio.com/Download
7JTVBM4UVEJP$PEF༻ͷ֦ுػೳ
1ZUIPOͱ84-ΛΠϯετʔϧ
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ଓ͖
1ZUIPOͷ࣮ߦڥΛ͑Δ8JOEPXT8JOEPXT
QZFOWͷΠϯετʔϧ
curl https://pyenv.run | bash
echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bashrc
echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bashrc
echo 'eval "$(pyenv init -)"' >> ~/.bashrc
source ~/.bashrc
1ZUIPOͷΠϯετʔϧ
TVEPBQUJOTUBMMCVJMEFTTFOUJBMMJCTTMEFW[MJCHEFWMJCC[EFWMJCSFBEMJOFEFWMJCTRMJUFEFWDVSMMJCODVSTFTXEFWY[VUJMTULEFWMJCYNMEFWMJCYNMTFDEFWMJCGGJEFWMJCM[NBEFW
pyenv install 3.10.14
pyenv global 3.10.14
python --version
# ʮPython 3.10.14ʯ͕දࣔ͞Ε͍ͯΕɺOK
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λʔϛφϧΛ্ཱͪ͛ɺ9DPEFDPNNBOEMJOFUPPMΛΠϯετʔϧ
xcode-select –install
)PNFCSFXΛΠϯετʔϧ ࣮ߦޙʹදࣔ͞ΕΔ/FYUTUFQTΛ࣮ߦͯ͠ɺ1"5)Λ௨͢͜ͱ
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
)PNFCSFXΛͬͯɺQZFOWΛΠϯετʔϧ
brew update
brew install pyenv
ڥมͷઃఆ (zsh͚)
echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.zshrc
echo '[[ -d $PYENV_ROOT/bin ]] && export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.zshrc
echo 'eval "$(pyenv init -)"' >> ~/.zshrc
source ~/.zshrc
QZFOWΛͬͯɺ1ZUIPOΛΠϯετʔϧ
brew install openssl readline sqlite3 xz zlib tcl-tk
pyenv install 3.10.14
)PNFCSFXΛͬͯɺ7JTVBM4UVEJP$PEFΛΠϯετʔϧ
brew install --cask visual-studio-code
1ZUIPOͷ࣮ߦڥΛ͑Δ NBD04
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ϗʔϜσΟϨΫτϦͷԼʹ࡞ۀ༻ϑΥϧμͱͯ͠XYBJΛ࡞Δ
cd ~
mkdir wxai
cd wxai
1ZUIPOͷԾڥWFOWΛ࡞Δ
python -m venv venv
1ZUIPOͷԾڥWFOWΛ༗ޮԽ͢Δ
source venv/bin/activate
1ZUIPOͷԾڥΛ࡞Δ -JOVYNBDڞ௨
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1ZUIPO1BDLBHF*OEFY
IUUQTQZQJPSHQSPKFDUUSBOTGPSNFST
IUUQTQZQJPSH
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1ZUPSDI
ଟʹΑΔχϡʔϥϧωοτϫʔΫΛ
༻ͨ͠ػցֶशͷϑϨʔϜϫʔΫ
'BDFCPPL"*3FTFBSDI ݱ.FUB
͕։ൃ
ʹΦʔϓϯιʔεԽ
ʹ1ZUPSDI'PVOEBUJPO͕ཧ
-JOVY'PVOEBUJPOͷҰ෦
ͦͷޙɺ*#.1ZUPSDI'PVOEBUJPOͷ
ϝϯόʔͱͳΓ1ZUPSDIͷൃలʹߩݙத
IUUQTQZUPSDIPSHHFUTUBSUFEMPDBMMZ
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-JOVY 6CVOUVPO8JOEPXT
WFSTJPO
# CPU (ར༻͍ͯ͠ΔPCʹNVIDIA GPU͕ࡌ͞Ε͍ͯͳ͍߹)
pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 --index-url https://download.pytorch.org/whl/cpu
# CUDA 12.1 (NVIDIA GPUΛ͑ΔPCͷ߹)
wget https://developer.download.nvidia.com/compute/cuda/12.1.0/local_installers/cuda_12.1.0_530.30.02_linux.run
sudo sh cuda_12.1.0_530.30.02_linux.run
pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 –index-url https://download.pytorch.org/whl/cu121
NBD04 "QQMF4JMJDPO...
pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1
NBD04 *OUFM$16
# Intel CPUΛࡌͨ͠mac͚ͷ࠷ऴϦϦʔε Pytorch 2.2·Ͱ ৄࡉͪ͜Β
pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2
1ZUPSDIͷΠϯετʔϧ
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)VHHJOH'BDF
IUUQTIVHHJOHGBDFDP
աڈʹ։࠵ͨ͠ʮ"*ΞϓϦ%PKPʯࢀߟʹ͍ͯͩ͘͠͞
ୈճ(16Λ׆༻ͯ͠ੜܥ"*ʹ৮ΕͯΈΑ͏εϥΠυಈը
ୈճ)VHHJOH'BDF5SBOTGPSNFSTೖεϥΠυ
ୈճ)VHHJOH'BDF5SBOTGPSNFSTϞσϧͷνϡʔχϯάೖεϥΠυ
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🤗5SBOTGPSNFST
IUUQTIVHHJOHGBDFDPEPDTUSBOTGPSNFSTWKBJOEFY
ຊޠΛར༻͢ΔલఏͰͷ४උ
QJQJOTUBMMUSBOTGPSNFST
QJQJOTUBMMTFOUFODFQJFDF
IUUQTXXXPSFJMMZDPKQCPPLT
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)VHHJOH'BDFͰެ։͞Ε͍ͯΔ*#.(SBOJUFϞσϧ
(SBOJUF4QFDVMBUPSTσίʔυΛߴԽ
(SBOJUF$PEF.PEFMTίʔυੜ༻
(SBOJUF(FP4QBUJBM.PEFMཧۭؒ༻
(SBOJUF5JNF4FSJFT.PEFMT࣌ܥྻ༧ଌ༻
ྫɿϕωνΞϥάʔϯͷைҐ༧ଌ
IUUQTNFEJVNDPN!EBWJEQSPJFUUJ@QSFEJDUJOHWFOFUJBOMBHPPOUJEFMFWFMTXJUINVMUJWBSJBUFUJNFTFSJFTNPEFMJOHCBGEG
άϥφΠτɺΒͳ͍ͱʂ
IUUQTIVHHJOHGBDFDPJCNHSBOJUF
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JCNHSBOJUFHSBOJUFCDPEFJOTUSVDUΛಈ͔ͯ͠Έͨ
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import time
from transformers import AutoModelForCausalLM, AutoTokenizer
device = "cuda"
# Apple Siliconࡌͷmacڥʹ͓͚Δҙ:
# device = "mps" ͷ߹λʔϛφϧ্Ͱ࣍ͷڥม͕ඞཁ
# export PYTORCH_ENABLE_MPS_FALLBACK=1
model_path = "ibm-granite/granite-3b-code-instruct"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(model_path)
model.to(device)
def generate_code(prompt):
start = time.perf_counter()
# change input text as desired
chat = [
{ "role": "user", "content": prompt },
]
chat = tokenizer.apply_chat_template(chat, tokenize=False,
add_generation_prompt=True)
# tokenize the text
input_tokens = tokenizer(chat, return_tensors="pt")
# transfer tokenized inputs to the device
for i in input_tokens:
input_tokens[i] = input_tokens[i].to(device)
ࢀߟHSBOJUFCDPEFJOTUSVDUΛͬͨίʔυੜྫ
# generate output tokens
# Θ͔Γ͍͢Α͏ʹύϥϝʔλ࠷ݶͷΈ
# generateϝιουʹ͢ύϥϝʔλదٓमਖ਼͍ͯͩ͘͠͞
output = model.generate(**input_tokens,
max_new_tokens=1000)
# decode output tokens into text
output = tokenizer.batch_decode(output)
# ݁Ռग़ྗ
for i in output:
print(i)
end = time.perf_counter()
print(">>>task completed:"+str(end-start))
return output
def do_conversation():
text = input("Granite Code>")
if text == "end":
return False
result = generate_code(text)
return True
while True:
res = do_conversation()
if res == False:
break
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"*ΞϓϦͱͷΓऔΓɺओʹจࣈྻͰɺਓ͕ཧղͰ͖Δͷ
"*ϞσϧΛར༻͢ΔܭࢉʮԋࢉʯɺจࣈτʔΫϯʹมͯ͠ར༻
จࣈ͕τʔΫϯͰͳ͍͜ͱʹҙ
˞͜ͷ༷ʹΑΓੜ݁ՌΛԿจࣈҎͰग़ྗɺͱ͍͏໋ྩʹ͔ͳ͍
จࣈྻͱτʔΫϯ 5PLFO
ਓγεςϜ͕
ೖྗͨ͠ςΩετ
จࣈྻ͔Β
τʔΫϯ
τʔΫϯ͔Β
จࣈྻ
ਪͰར༻͢Δ
"*Ϟσϧ
ೖྗ ग़ྗ
𝑒!
⋮
𝑒"
𝑟!
⋮
𝑟"
ੜ͞Εͨ
ςΩετ
ϕΫτϧ ϕΫτϧ
IUUQTXXXJCNDPNEPDTKBXBUTPOYTBBT UPQJD TPMVUJPOTUPLFOT
IUUQTIVHHJOHGBDFDPEPDTUSBOTGPSNFSTNBJO@DMBTTFTUPLFOJ[FS
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# t.py ͱͯ͠อଘ
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
encoded = tokenizer("We are very happy to show you the 🤗 Transformers
library.")
print(encoded)
࣮ߦ݁Ռ
Downloading tokenizer_config.json: 100%|█| 48.0/48.0 [00:00<00:00,
Downloading config.json: 100%|████| 570/570 [00:00<00:00, 4.90MB/s]
Downloading vocab.txt: 100%|█████| 232k/232k [00:00<00:00, 745kB/s]
Downloading tokenizer.json: 100%|█| 466k/466k [00:00<00:00, 1.03MB/
{'input_ids': [101, 2057, 2024, 2200, 3407, 2000, 2265, 2017, 1996, 100,
19081, 3075, 1012, 102], 'token_type_ids': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
ࢀߟจࣈྻͷτʔΫϯԽ
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ࢀߟ"*ΞϓϦͷٕज़ελοΫ ਤԼه63-ΑΓҾ༻
IUUQTB[DPNFNFSHJOHBSDIJUFDUVSFTGPSMMNBQQMJDBUJPOT
ݱ࣌Ͱͷશମ૾
˞ٕज़ৗʹਐԽ͍ͯ͠Δ
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XBUTPOYBJͷΑ͏ͳ"*ϓϥοτϑΥʔϜ͕ඞཁͳཧ༝
ΞϓϦʢ8FCϢʔβʔΠϯλʔϑΣΠεʣ
ΞϓϦɾϓϥοτϑΥʔϜ
"*ΞϓϦ
Ϗδωεɾ
ϩδοΫ
"*Ϟσϧ
ϥΠϒϥϦ"1*
"*ΞϓϦɾϓϥοτϑΥʔϜ
͍߹Θͤ
ੜ݁Ռ
ཤྺ
σʔλ
༻ྔ
σʔλ
"*ͷ࣮ݧΦʔϓϯιʔεͰՄೳ
ҰํɺاۀϨϕϧͷల։՝͕ଟ͍
4BB4൛ͷXBUTPOYBJΛ͑ɺ
ΞϓϦ։ൃɺల։ɺӡ༻ʹूதͰ͖Δ
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ϏδωεͷͨΊͷ"*ɺ*#.XBUTPOYBJΛΔ
"*ΞϓϦΛ࣮ߦ͢ΔͨΊͷٕज़γεςϜߏΛΔ
ΦʔϓϯιʔεʹΑΔ"*ٕज़ͷ͍͔ͭ͘ΛΔ
$BMMUPBDUJPOT
*#.XBUTPOYBJ%FNPαΠτɺXBUTPOYBJແྉධՁ൛Λࢼͯ͠Έ·͠ΐ͏
1ZUIPOɺ1ZUPSDIɺ7JTVBM4UVEJP$PEFΛΠϯετʔϧ͠·͠ΐ͏
ΦʔϓϯιʔεʹΑΔ"*ٕज़Λࢼͯ͠Έ·͠ΐ͏
·ͱΊ
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ϫʔΫγϣοϓɺηογϣϯɺ͓Αͼࢿྉɺ*#.·ͨηογϣϯൃදऀʹΑͬͯ४උ͞ΕɺͦΕͧΕಠࣗͷݟղΛөͨ͠ͷͰ͢ɻͦΕΒใ
ఏڙͷతͷΈͰఏڙ͞Ε͓ͯΓɺ͍͔ͳΔࢀՃऀʹରͯ͠๏త·ͨͦͷଞͷࢦಋॿݴΛҙਤͨ͠ͷͰͳ͘ɺ·ͨ*#.αʔϏε͕͓
٬༷ʹద༻͋Δಛఆͷ๏ྩʹద߹͢Δ͜ͱΛอূ͢ΔͷͰ͋Γ·ͤΜɻຊߨԋࢿྉʹؚ·Ε͍ͯΔใʹ͍ͭͯɺશੑͱਖ਼֬ੑΛظ͢ΔΑ͏
Ί͓ͯΓ·͕͢ɺʮݱঢ়ͷ··ʯఏڙ͞Εɺ໌ࣔ·ͨࣔʹ͔͔ΘΒͣɺۀੑɺಛఆͷతͷద߹ੑɺඇ৵ੑΛؚΊɺ͍͔ͳΔอূΘͳ͍
ͷͱ͠·͢ɻຊߨԋࢿྉ·ͨͦͷଞͷࢿྉͷ༻ʹΑͬͯɺ͋Δ͍ͦͷଞͷؔ࿈ʹΑͬͯɺ͍͔ͳΔଛ͕ੜͨ͡߹ɺ*#.ΛෛΘͳ͍
ͷͱ͠·͢ɻ ຊߨԋࢿྉͰݴٴ͞ΕΔ*#.ɺϓϩάϥϜɺ·ͨαʔϏεɺ*#.͕ϏδωεΛߦ͍ͬͯΔͯ͢ͷࠃɾҬͰ͝ఏڙՄೳͳΘ͚
Ͱ͋Γ·ͤΜɻຊߨԋࢿྉͰݴٴ͞ΕΔকདྷͷలʢϦϦʔεػೳΛؚΉʣɺࢢػձ·ͨͦͷଞͷཁҼʹج͍ͮͯ*#.ಠࣗͷܾ
ఆݖΛ͍ͬͯͭͰมߋͰ͖Δͷͱ͠ɺকདྷͷ·ͨػೳ͕༻ՄೳʹͳΔ͜ͱɺ͘͠ಛఆͷ݁ՌΛ֬͢Δ͜ͱΛҙਤ͢ΔͷͰ͋Γ
·ͤΜɻຊߨԋࢿྉɺݴٴ͞ΕΔ *#.·ͨαʔϏεʹద༻͋Δܖ݅Λมߋ͢ΔͷͰɺՃͷද໌·ͨอূΛҙਤ͢ΔͷͰ͋Γ·
ͤΜɻ
ຊߨԋࢿྉʹؚ·Ε͍ͯΔ༰ɺࢀՃऀͷ׆ಈʹΑͬͯಛఆͷ݁Ռ͕ੜ͡Δͱड़Δɺ·ͨ҉ࣔ͢Δ͜ͱΛҙਤͨ͠ͷͰɺ·ͨͦͷΑ͏ͳ݁Ռ
ΛੜΉͷͰ͋Γ·ͤΜɻ ύϑΥʔϚϯεɺཧ͞Εͨڥʹ͓͍ͯඪ४తͳ*#.ϕϯνϚʔΫΛ༻ͨ͠ଌఆͱ༧ଌʹج͍͍ͮͯ·͢ɻϢʔβʔ
͕ܦݧ͢Δ࣮ࡍͷεϧʔϓοτύϑΥʔϚϯεɺϢʔβʔͷδϣϒɾετϦʔϜʹ͓͚ΔϚϧνϓϩάϥϛϯάͷྔɺೖग़ྗߏɺετϨʔδߏɺ
͓Αͼॲཧ͞ΕΔϫʔΫϩʔυͳͲͷߟྀࣄ߲ΛؚΉɺଟ͘ͷཁҼʹԠͯ͡มԽ͠·͢ɻ͕ͨͬͯ͠ɺݸʑͷϢʔβʔ͕͜͜Ͱड़ΒΕ͍ͯΔͷͱ
ಉ༷ͷ݁ՌΛಘΒΕΔͱ֬͢ΔͷͰ͋Γ·ͤΜɻهड़͞Ε͍ͯΔͯ͢ͷ͓٬༷ࣄྫɺͦΕΒͷ͓٬༷͕ͲͷΑ͏ʹ*#.Λ༻͔ͨ͠ɺ·
ͨͦΕΒͷ͓٬༷͕ୡͨ݁͠Ռͷ࣮ྫͱͯࣔ͠͞ΕͨͷͰ͢ɻ࣮ࡍͷڥίετ͓ΑͼύϑΥʔϚϯεಛੑɺ͓٬༷͝ͱʹҟͳΔ߹͕͋Γ·͢ɻ
• *#.ɺ*#.ϩΰɺJCNDPNɺ%C
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