PyTorchとCaffe2とONNXと深層学習モデルのデプロイについて

https://machine-learning15minutes.connpass.com/event/73442/

Transcript

1. 1Z5PSDIͱ$B⒎Fͱ0//9ͱ
 ਂ૚ֶशϞσϧͷσϓϩΠʹ͍ͭͯ ΫοΫύουגࣜձࣾ
   ݚڀ։ൃ෦
   છ୩༔Ұ࿠
 
2. ࣗݾ঺հ  છ୩
   ༔Ұ࿠
   <:VJDIJSP
   4PNFZB>
    ΫοΫύουגࣜձࣾ
   ݚڀ։ൃ෦
 ϦαʔνΤϯδχΞ
   ೥݄d
    "84ͱ͔ػցֶशͱ͔
    .-
   NJOVUFT
   ͸ճ໨ UXJUUFSDPN!BZFNPT@Z
   HJUIVCDPNBZFNPT
   IUUQTXXXBZFNPTNF
4. Ϩγϐ਺ɿສ඼Ҏ্
   ࠃ಺ͷ݄ؒར༻ऀ਺ɿ໿ສਓ
5. ରԠݴޠɿݴޠϲࠃ
   ւ֎ͷ݄ؒར༻ऀ਺ɿ໿ສਓ
6. "HFOEB  ࿩͢͜ͱ
    χϡʔϥϧωοτϫʔΫϞσϧͷσϓϩΠͷݱঢ়ͱ՝୊ʹ͍ͭͯ
    1Z5PSDIͱ$B⒎Fͱ0//9
    χϡʔϥϧωοτϫʔΫͷதؒදݱͱ͸
    ࿩͞ͳ͍͜ͱ
    1Z5PSDIɺ$B⒎Fɺ0//9ͷ࢖͍ํ
    σϞ
7. ϞσϧσϓϩΠͷݱঢ়ͱ՝୊
8. എܠ  ػցֶशΛར༻͢Δ જࡏ ਓ਺͕૿͍͑ͯΔ
    ྫ
   ΫοΫύουגࣜձࣾ
   ݚڀ։ൃ෦
    ೥݄ͷൃ଍౰࣌͸໊ͷϝϯόʔ
    ೥݄ݱࡏ͸ࠃ಺ʹ໊
   
   ւ֎ʹ໊
    ϞσϧͷσϓϩΠ࡞ۀ͕ϘτϧωοΫʹͳ͖ͬͯͨ
9. 5SBJO  5SBJO
   
   *OGFSͱ͍͏ॱ൪
    ͋Δ͍͸ͦΕΛ܁Γฦ͢
   ྫ
   ϓϩτλΠϓɺ1P$
    ͳΔ΂ָ͘ʹ଎͘΍Γ͍ͨ *OGFS σʔλऩू .PEFM ܇࿅ લॲཧ "1*࣮૷ ෼ੳ %PDLFSԽ όον࣮૷ ςετʗ؂ࢹ
10. ϞσϧͷσϓϩΠख๏ྫ  ΞϓϦέʔγϣϯίʔυʹ૊ΈࠐΉ
     1ZUIPO
    QBDLBHFʹ͢Δ
     "1*Խ͢Δ
11. ΞϓϦέʔγϣϯίʔυʹ૊ΈࠐΉ  ͍͍ͱ͜Ζ
     ௨৴Φʔόʔϔου౳͕ආ͚ΒΕΔ
     Α͘ͳ͍ͱ͜Ζ
     ΞϓϦέʔγϣϯίʔυΛ͍͡Δඞཁ͕͋Δ
     1ZUIPO؀ڥʹݶΒΕΔ
    PS
    ม׵͢Δඞཁ͕͋Δ
 Ұํ1Z$BMMͱ͍͏ͷ΋͋Δ
    
     άϧʔίʔυ͕ॏෳ͢Δ
 ͔͠΋݁ߏάϧʔ͕෼ް͔ͬͨΓ͢Δ 
    IUUQTHJUIVCDPNNSLOQZDBMMSC
12. 1ZUIPO
    QBDLBHFʹ͢Δ  άϧʔ෦෼ΛؚΊͯ1ZUIPO
    QBDLBHFԽͯ͠ଞॴͰར༻Ͱ͖Δ Α͏ʹ͢Δ
     ެ։Ͱ͖ͳ΋ͷʹ͍ͭͯ͸1Z1*
    $MPVE
     ͳͲΛࣾ಺ʹ
 ཱͯΔͱ͍͏ख͕͋Δ 
    IUUQTHJUIVCDPNTUFWFBSDQZQJDMPVE
13. 1ZUIPO
    QBDLBHFʹ͢Δ  ͍͍ͱ͜Ζ
     άϧʔίʔυͷॏෳ͕ආ͚ΒΕΔ
     Α͘ͳ͍ͱ͜Ζ
     ґવ1ZUIPO؀ڥʹݶΒΕΔ
     ख͕͔͔ؒΔ
     //ϑϨʔϜϫʔΫͷ஌ࣝɺ1ZUIPOͷQBDLBHJOHʹؔ͢Δ஌͕ࣝඞཁʹ ͳΔ ୭͕΍Δͷ͔໰୊ 
    IUUQTHJUIVCDPNTUFWFBSDQZQJDMPVE
14. "1*Խ͢Δ  Ϟσϧ୯ମΛ"1*Խ
     ϞσϧΛಡΈࠐΜͰɺ֎෦ϦΫΤετʹԠͯ͡ϞσϧΛ
 ݺͼग़͢ബ͘খ͞ͳ"1*Λ࣮૷͢Δ
    NJDSPTFSWJDF
    
    पลͷϩδοΫ FH
    ʰϞσϧ͕εύϜ൑ఆͨ͠Β%#ʹϑϥ άΛཱͯΔʱ
    ͸֎෦Ͱ࣮૷
15. "1*Խ͢Δ  ͍͍ͱ͜Ζ
     Ϟσϧ࣮૷ͱΞϓϦέʔγϣϯ࣮૷Λ্ख͘੾Γ཭ͤΔ
 
    ։ൃऀ΋্ख͘෼͚ΒΕΔ
     ΞϓϦέʔγϣϯ͸1ZUIPOͰͳͯ͘΋Α͍
    NJDSPTFSWJDF
     Α͘ͳ͍ͱ͜Ζ
     ख͕͔͔ؒΔ
16. "1*αʔόʔ  ʰ1ZUIPO
    QBDLBHFԽɺ"1*Խ͍ͣΕ͔ͷํ๏ʹΑΓɺϞσϧ ͷ࣋ͪग़͕͠ग़དྷΔʱ
     ͍ͣΕ΋ख͕͔͔ؒΓɺ1P$౳ͷ৔߹ಛʹࠔΔ
 
    ੾Γग़ͯ͠ڞ௨ج൫Խ͢Δʁ ͪΐͬͱͨ͠ϝλσʔλKTPO NPEFMQC
    .PEFMͷμϯϓϑΝΠϧ NPEFMQC ͳʹ͔ 1ZUIPO
    QBDLBHF NPEFMQC
17. "1*αʔόʔ  ͜Ε͸ݫ͍͠ NPEFMQC ͳʹ͔ 1ZUIPO
    QBDLBHF NPEFMQC
18. ͪͳΈʹ  (PPHMF
    $MPVE
    .-
    &OHJOFͱ͍͏෺͕͋Δ
 IUUQTDMPVEHPPHMFDPNNMFOHJOF
     5FOTPSqPXɺ($1റΓ͸͋Δ͕Α͘ಈ͘
     ެࣜʮόον༻ɻϦΞϧλΠϜਪ࿦͸#FUBͰ4-"ͳ͍Αʯ "1*αʔόʔ ͪΐͬͱͨ͠ϝλσʔλ NPEFMQC
    .PEFMͷμϯϓϑΝΠϧ NPEFMQC
19. ͜͜·Ͱ·ͱΊ  Ϟσϧ։ൃऀ͕૿͖͑ͯͨ݁ՌɺϞσϧͷσϓϩΠͱ͍͏
 ϘτϧωοΫ͕ݟ͖͑ͯͨ
     σϓϩΠ࡞ۀΛڞ௨ج൫ͱ͍͏ܗͰ࢓૊ΈԽ͍ͨ͠ͱ͜Ζ
     ޓ͍ʹޓ׵ੑͷ ΄ͱΜͲ ͳ͍//ϑϨʔϜϫʔΫ͕
 ୔ࢁ͋Δ
20. 1Z5PSDIͱ$B⒎Fͱ0//9
21. //ϑϨʔϜϫʔΫͷಛੑͱબ୒  ͳͥ//ϑϨʔϜϫʔΫ͸ෳ਺͋Δʁ
22. //ϑϨʔϜϫʔΫͷಛੑͱબ୒  ʰ࣮ݧ౳ͷඇϓϩμΫγϣϯ؀ڥʹ͓͍ͯ͸ਪ࿦ͷ࣮ߦ଎౓
 ΑΓॊೈੑ͕༏ઌ͞ΕΔʱ
     ʰσϓϩΠઌͰ͸ɺ࣮ߦ؀ڥ αʔόʔʗΤοδ ʹద͠ɺ
 ਪ࿦ʹ࠷దԽ͞ΕͨϑϨʔϜϫʔΫ͕๬·͍͠ʱ
     ॊೈੑͱ͸ʁ
     Α͘࿦఺ʹͳΔͷ͸ɺ੩త
    
    μΠφϛοΫ
23. 1Z5PSDIͱ$B⒎F  1Z5PSDI
     ໋ྩతͰ μΠφϛοΫɺ࣮ݧ޲͖
     $B⒎F
     એݴతͰ ੩తͳϑϨʔϜϫʔΫ
     ΫϩεϓϥοτϑΥʔϜͰ࣮ߦՄೳ
    FH
    J04
    "OESPJE
     ࣮ݧͱਪ࿦࢖͍෼͚Δ
    
    ϞσϧͷՄൖੑ͕ॏཁࢹ͞Εͯ͘Δ
24. 0//9
      χϡʔϥϧωοτϫʔΫͷΦʔϓϯͳ*3 தؒදݱ ఆٛ
     ࣮ମ͸1SPDPM#V⒎FS
    
     ྫ͑͹
     1Z5PSDI ࣮ݧ
    
    0//9
    
    $B⒎F ϓϩμΫγϣϯ 
    IUUQTSFTFBSDIGCDPNGBDFCPPLBOENJDSPTPGUJOUSPEVDFOFXPQFOFDPTZTUFNGPSJOUFSDIBOHFBCMFBJGSBNFXPSLT
    
    IUUQTEFWFMPQFSTHPPHMFDPNQSPUPDPMCV⒎FST 0//9
    'SPOUFOE 0//9
    #BDLFOE
25. ࣅͨΑ͏ͳऔΓ૊Έ IUUQUWNMBOHPSH
    IUUQTHJUIVCDPNENMDUWN
    IUUQTHJUIVCDPNENMDOOWN IUUQTXXXLISPOPTPSHOOFG 57.
    4UBDL 57.
    //7.
26. ͦͷଞͷରԠϑϨʔϜϫʔΫ  μΠφϛοΫ $IBJOFS
    1Z5PSDI ͸FYQPSUରԠॏࢹ
     ੩త 5'
    $B⒎F
     ɺΤοδ༻ $PSF.-
     ౳͸JNQPSUରԠॏࢹ IUUQTHJUIVCDPNPOOYUVUPSJBMT
27. ͦͷଞͷରԠϑϨʔϜϫʔΫ  ྫ͑͹$B⒎Fͷ࣮ߦ؀ڥΛ༻ҙ͓͚ͯ͠͹ɺ$B⒎F
    1ZUPSDI
    $IBJOFSͷϞσϧ͕࣮ߦͰ͖Δɻ
     ڞ௨࣮ߦ؀ڥ΋ເͰ͸ͳ͍ 5FOTPSqPXؤுΕ IUUQTHJUIVCDPNPOOYUVUPSJBMT
28. 0//9
    CBDLFOE "1*αʔόʔ  ເ NPEFMQC ͳʹ͔ 1ZUIPO
    QBDLBHF 0//9
    GSPOUFOE NPEFMPOOY ͪΐͬͱͨ͠ϝλσʔλKTPO
29. ·ͱΊ  ϞσϧͷσϓϩΠʹ·ͭΘΔ՝୊ͷͭͱͯ͠ɺͦΕͧΕʹ
 ಛੑ͕ҟͳΔʰෳ਺ͷ//ϑϨʔϜϫʔΫ͕ଘࡏ͢ΔࣄʱΛڍ ͛ͨ
     0//9Λར༻ͯ͠ϞσϧΛσϓϩΠ͢Δҝͷڞ௨ج൫Λߏங
 ͢ΔΞΠσΞΛ঺հͨ͠
30. એ఻  ͦΜͳج൫ΛҰॹʹ࡞Γ·ͤΜ͔
     IUUQTDPPLQBEKPCT
31. ࢀߟจݙ  IUUQTSFTFBSDIGCDPNQVCMJDBUJPOTBQQMJFENBDIJOF MFBSOJOHBUGBDFCPPLBEBUBDFOUFSJOGSBTUSVDUVSF QFSTQFDUJWF
     IUUQTSFTFBSDIGCDPNGBDFCPPLBOENJDSPTPGU JOUSPEVDFOFXPQFOFDPTZTUFNGPSJOUFSDIBOHFBCMFBJ GSBNFXPSLT
     IUUQTHJUIVCDPNPOOYUVUPSJBMT