ウェブブラウザ向け深層学習モデル高速実行フレームワーク「WebDNN」

΢Σϒϒϥ΢β޲͚ਂ૚ֶशϞσϧߴ଎࣮ߦϑϨʔϜϫʔΫ WebDNN ౦ژେֶ େֶӃ৘ใཧ޻ֶܥݚڀՊ ૑଄৘ใֶઐ߈ ݪాɾڇٱݚڀࣨ म࢜೥ ໦૔ ༔Ұ࿠ !,JJLVSBHF

໦૔ ༔Ұ࿠:VJDIJSP,JLVSB ౦ژେֶ େֶӃ৘ใཧ޻ֶܥݚڀՊ ૑଄৘ใֶઐ߈ ݪాɾڇٱݚڀࣨ म࢜೥ ΢Σϒϒϥ΢β޲͚ਂ૚ֶशϞσϧߴ଎࣮ߦϑϨʔϜϫʔΫʮ8FC%//ʯͷ͝঺հ • 8FC%//ͱ͸
• 8FC%//ͷ࢖͍ํ • 8FC%//͕ߦ͍ͬͯΔߴ଎ԽΞϓϩʔν ͸͡Ίʹ

8FC%// ΢Σϒϒϥ΢β޲͚ਂ૚ֶशϞσϧߴ଎࣮ߦϑϨʔϜϫʔΫ ֶशࡁΈϞσϧΛਪ࿦ϑΣʔζʹ࠷దԽ͠΢Σϒϒϥ΢β্Ͱ࣮ߦ 5IJTXPSLXBTQBSUJBMMZTVQQPSUFECZ+45 $3&45 (SBOU/VNCFS+1.+$3 +BQBO5IJTXPSLXBTBMTP QBSUJBMMZTVQQPSUFECZUIF.JOJTUSZPG&EVDBUJPO $VMUVSF 4QPSUT
4DJFODFBOE5FDIOPMPHZ .&95 BT l4FNJOBM*TTVFPO1PTU,$PNQVUFSz .BTBUPTIJ)JEBLB :VJDIJSP,JLVSB :PTIJUBLB6TIJLV 5BUTVZB)BSBEB ౦ژେֶ ৘ใཧ޻ֶܥݚڀՊ ݪాɾڇٱݚڀࣨ .BDIJOF*OUFMMJHFODF-BC.*-

8FC%// ΢Σϒϒϥ΢β޲͚ਂ૚ֶशϞσϧߴ଎࣮ߦϑϨʔϜϫʔΫ ֶशࡁΈϞσϧΛਪ࿦ϑΣʔζʹ࠷దԽ͠΢Σϒϒϥ΢β্Ͱ࣮ߦ Ϟσϧఆٛ ม ׵ ࠷ ద Խ ੜ
੒ (16#BDLFOE ֶशࡁΈ ύϥϝʔλ ύϥϝʔλ (SBQI5SBOTQJMFS ݚڀ੒Ռͷਝ଎ͳެ։ %//Λ༻͍ͨΞϓϦͷσϞ ར༻ྫ IUUQTNJMUPLZPHJUIVCJPXFCEOO %FTDSJQUPS3VOOFS $16#BDLFOE (SBQI %FTDSJQUPS

8FC%//ͷར༻ྫ .BLF(JSMT.PF <:+JOBOE+;IBOH> IUUQNBLFHJSMTNPF ("/ʹΑΔೋ࣍ݩΩϟϥը૾ੜ੒

΢Σϒϒϥ΢βͰͷਂ૚ֶश %//Λ࣮ΞϓϦέʔγϣϯ΁Ԡ༻͢Δࡍͷ՝୊ αʔόʔαΠυίϯϐϡʔςΟϯά • ΫϥΠΞϯτ਺ʹର͢ΔεέʔϧΞ΢τ͕༰қͰ͸ͳ͍ • ϓϥΠόγʔʹ఍৮͢ΔσʔλΛѻ͍ͮΒ͍ ΫϥΠΞϯταΠυίϯϐϡʔςΟϯά • ܭࢉ؀ڥηοτΞοϓ͕೉͍͠

΢Σϒϒϥ΢βͰͷਂ૚ֶश %//Λ࣮ΞϓϦέʔγϣϯ΁Ԡ༻͢Δࡍͷ՝୊ ΢ΣϒΞϓϦέʔγϣϯ • ΫϥΠΞϯτଆͰܭࢉ͢ΔͨΊεέʔϧΞ΢τ͕༰қ • αʔόʔ΁ͷσʔλΞοϓϩʔυ͕ෆཁͳͨΊಗ໊ੑͷ୲อ͕༰қ • ηοτΞοϓ͸ෆཁ ΢ΣϒαΠτʹΞΫηε͢Δ͚ͩͰར༻Մೳ
"JYJMF͞Μ !OBNBOJLV .BLF(JSTU.PFͷ࡞ऀ

΢Σϒϒϥ΢βͰͷػցֶश • .*-+4 IUUQNJMUPLZPHJUIVCJPNJMKTIUNM ౰ݚڀࣨͰ։ൃ͍ͯ͠Δ+BWB4DSJQUϕʔεػցֶशϥΠϒϥϦ܈ • 4VTIJ +BWB4DSJQUͰಈ࡞͢ΔߦྻԋࢉϥΠϒϥϦ <,.JVSB ><.)JEBLB
> • 4VLJZBLJ 4VTIJΛܭࢉόοΫΤϯυͱ͢ΔػցֶशϥΠϒϥϦ <,.JVSB ><.)JEBLB >

8FC%//ͷಛ௃ ΢Σϒ࠷৽࢓༷Λ༻͍ͨߴ଎ͳܭࢉόοΫΤϯυ 8FC(16ɾ8FC(-ɾ8FC"TTFNCMZʹΑΔ$16(16྆ํͰͷߴ଎ͳ࣮ߦ ܭࢉάϥϑ࠷దԽʹΑΔܭࢉͷߴ଎Խ ਪ࿦ϑΣʔζʹಛԽͨ͠࠷దԽʹΑΓܭࢉྔɾϞσϧύϥϝʔλαΠζΛ࡟ݮ طଘͷਂ૚ֶशϑϨʔϜϫʔΫͷ޿ൣғͳαϙʔτ ,FSBT
$BGGF $IBJOFS 5FOTPS'MPXʹରԠ

8FC%//ͷಛ௃ ΢Σϒ࠷৽࢓༷Λ༻͍ͨߴ଎ͳܭࢉόοΫΤϯυ • ༷ʑͳ؀ڥʹରԠՄೳͳछྨͷܭࢉόοΫΤϯυΛ࣮૷ • ϒϥ΢βʹ࣮૷͞Ε͍ͯΔ"1*ʹԠͯࣗ͡ಈతʹ࠷దͳόοΫΤϯυΛબ୒ • ΄΅શͯͷ؀ڥͰ(16ʹΑΔϋʔυ΢ΣΞΞΫηϥϨʔγϣϯ͕ར༻Մೳ 8FC(16
#BDLFOE 8FC(- #BDLFOE 8FC"TTFNCMZ #BDLFOE 'BMMCBDL #BDLFOE

8FC%//ͷಛ௃ ܭࢉάϥϑ࠷దԽʹΑΔܭࢉͷߴ଎Խ • ਪ࿦ϑΣʔζʹಛԽ͢Δ͜ͱͰɺΑΓੵۃతͳܭࢉάϥϑͷ࠷దԽΛ࣮ࢪ

8FC%//ͷಛ௃ طଘͷਂ૚ֶशϑϨʔϜϫʔΫͷ޿ൣғͳαϙʔτ • ,FSBT $BGGF $IBJOFS 5FOTPS'MPXͷֶशࡁΈϞσϧ͕ม׵Մೳ • ಠ࣮ࣗ૷ͨؔ͠਺΁ͷରԠʢτϥϯεύΠϥͷ֦ுʣ΋༰қ
$IBJOFS chainer.Chain ,FSBT keras.Model $BGGF .proto 5FOTPS'MPX tf.Session

ϕϯνϚʔΫ 3FT/FU<)F > ը૾ຕͷਪ࿦ʹཁ͢Δ࣌ؒ • ೖྗαΠζ • ൺֱର৅ • ,FSBTKT
IUUQTHJUIVCDPNUSBOTDSBOJBMLFSBTKT LFSBTͷֶशࡁΈϞσϧΛ࣮ߦՄೳͳϥΠϒϥϦɻ8FC(-ʹΑΔ(16ར༻ɻ (1,224,224,3)

ϕϯνϚʔΫ 3FT/FUը૾ຕͷਪ࿦ʹཁ͢Δ࣌ؒ ,FSBTKT 8FC%//
ॴཁ࣌ؒ <NTຕ> $ISPNF 'JSF'PY 4BGBSJ51 ,FSBTKT 8FC%// ॴཁ࣌ؒ<NTຕ> $ISPNF 'JSF'PY 4BGBSJ51 8FC%// 8FC%// .BD#PPL1SP&BSMZ()[*OUFM$PSFJ$16*OUFM*SJT(SBQIJDT(16 $16 (16 1$

ϕϯνϚʔΫ 3FT/FUը૾ຕͷਪ࿦ʹཁ͢Δ࣌ؒ
,FSBTKT 8FC%// ॴཁ࣌ؒ <NTຕ> $ISPNF 'JSF'PY 4BGBSJ ,FSBTKT 8FC%// ॴཁ࣌ؒ <NTຕ> $ISPNF 'JSF'PY 4BGBSJ 8FC%// 8FC%// ˞ܽଛՕॴ͸࣮ߦෆՄೳɾαϙʔτ֎ 91&3*"9;"OESPJEY4OBQESBHPO()[Y$16"ESFOP(16 $ISPNF 'JSF'PY J1IPOFJ04"QQMF" 4BGBSJ εϚʔτϑΥϯ $16 (16

࢖༻ํ๏ ,FSBTɾ$IBJOFS෇ଐͷ3FT/FUֶशࡁΈϞσϧͷม׵ IUUQTNJMUPLZPHJUIVCJPXFCEOOEPDTUVUPSJBMLFSBTIUNM IUUQTNJMUPLZPHJUIVCJPXFCEOOEPDTUVUPSJBMDIBJOFSIUNM

࢖༻ํ๏ ֶशࡁΈϞσϧΛม׵͢Δ,FSBT from keras.applications import resnet50 from webdnn.frontend.keras import KerasConverter
from webdnn.backend import generate_descriptor graph = KerasConverter().convert(resnet50.ResNet50()) # (1) generate_descriptor('webgl', graph).save('model') # (2) ,FSBT keras.Model (SBQI%FTDSJQUPS GPS8FC(- #BDLFOE 8FC%//*3 1ZUIPO

࢖༻ํ๏ ֶशࡁΈϞσϧΛม׵͢Δ$IBJOFS import numpy as np from chainer import Variable,
links as L model = L.ResNet50Layers() ܭࢉάϥϑΛ࡞ΔͨΊʹμϛʔσʔλΛྲྀ͢ x = Variable(np.zeros((1, 3, 224, 224), dtype=np.float32)) y = model(x, layers=['prob'])['prob'] $IBJOFS chainer.Chain (SBQI%FTDSJQUPS GPS8FC(- #BDLFOE 8FC%//*3 1ZUIPO

࢖༻ํ๏ ֶशࡁΈϞσϧΛม׵͢Δ$IBJOFS from webdnn.frontend.chainer import ChainerConverter from webdnn.backend import generate_descriptor
graph = ChainerConverter().convert([x], [y]) # (1) generate_descriptor('webgl', graph).save('model') # (2) $IBJOFS chainer.Chain (SBQI%FTDSJQUPS GPS8FC(- #BDLFOE 8FC%//*3 1ZUIPO

࢖༻ํ๏ ม׵݁ՌΛϒϥ΢β͔ΒಡΈࠐΈ࣮ߦ͢Δ let runner = await WebDNN.load('model'); let x =
runner.getInputViews()[0]; let y = runner.getOutputViews()[0]; جຊతͳલɾޙॲཧʹؔ͢ΔαϙʔτϥΠϒϥϦ͕෇ଐ x.set(await WebDNN.Image.getImageArray('cat.jpg', { dstW: 224, dstH: 224 })); await runner.run(); ࣮ߦ console.log(y.toActual()); JavaScript +BWB4DSJQU

ߴ଎Խ ΢Σϒϒϥ΢βίϯϐϡʔςΟϯάʹ͓͍ͯ཯଎ͱͳΔཁҼ +BWB4DSJQUͷΦʔόʔϔου ԋࢉίΞෆ଍ ϝϞϦଳҬෆ଍

+BWB4DSJQUͷΦʔόʔϔου • +BWB4DSJQUͦͷ΋ͷͷ࣮ߦ଎౓͕஗͍ • ௿ϨΠϠΛ৮ΕΔ"1*͕૿͖͑ͯͨ • 7BOJMMB+BWB4DSJQUˠ8FC"TTFNCMZ • 8FC(-ˠ 8FC(-ˠ
8FC(16

8FC"TTFNCMZ ΢Σϒϒϥ΢β͔ΒΞηϯϒϥϨϕϧͰͷ໋ྩΛѻ͑Δ࢓༷ • +BWB4DSJQUͷΠϯλϓϦλ࣮ߦʹΑΔΦʔόʔϔου͕ͳͤ͘Δ • 7BOJMMB+BWB4DSJQUͰ͸Ͱ͖ͳ͔༷ͬͨʑͳ࠷దԽ͕Մೳ • 4*.%΍ϚϧνεϨου΋Մೳʹ $ISPNF'JSF'PYͰळʙౙTIJQ͞Εͦ͏ C
C++ Rust .wasm ίϯύΠϧ ϒϥ΢β͔ΒόΠφϦΛ ௚઀ಡΈࠐΈ࣮ߦ ϒϥ΢β

8FC(- • ΢Σϒϒϥ΢βʹ͸(1(16༻"1*͕ଘࡏ͠ͳ͍ • 8FC(- • ը૾ॲཧ༻"1*Ͱ͋Γ$PNQVUJOH4IBEFS͸αϙʔτ͞Εͯͳ͍ • ؤுΕ͹(1(16΋Ͳ͖΋Մೳ •
༷ʑͳ੍໿ͷ͍ͤͰΦʔόʔϔου͕େ͖͍ • 8FC(- • (1(16͠΍͘͢ͳΔػೳ͕௥Ճ • Φʔόʔϔου͕͔ͳΓݮΒͤΔ

8FC(16 • IUUQTXFCLJUPSHXQDPOUFOUVQMPBETXFCHQVBQJQSPQPTBMIUNM • "QQMF͕த৺ͱͳͬͯٞ࿦தͷ࣍ظ"1* • $PNQVUJOH4IBEFSΛαϙʔτɺඈ༂తͳύϑΥʔϚϯε޲্ • 8FC,JUʹ࣮૷ͨ͠ •
NBD04)JHI4JFSSBJ04ͷTBGBSJ͔Β࢖༻Մೳ 8(ͷٞࣄ࿥Λݟ͍ͯΔͱ ʮ΍ͬͺ$PNQVUJOH4IBEFSෆཁͰ͸ʁʯ ͱ͍͏ٞ࿦͕ͳ͞Ε͓ͯΓɺएׯӢߦ͖͕ո͍͠

ߴ଎Խ ΢Σϒϒϥ΢βίϯϐϡʔςΟϯάʹ͓͍ͯ཯଎ͱͳΔཁҼ +BWB4DSJQUͷΦʔόʔϔου ԋࢉίΞෆ଍ ϝϞϦଳҬෆ଍

ϝϞϦଳҬෆ଍ͷରࡦ ,FSOFM.FSHJOH • ແବͳಡΈॻ͖ΛݮΒ͠ԋࢉີ౓ΛߴΊ • ෳ਺ͷΧʔωϧΛ̍ͭʹϚʔδ͢Δ • ൃߦͷΦʔόʔϔου΋ݮΒͤΔ float x1
= X1[i]; float x2 = X2[i]; H[i] = x1 + x2; float h = H[i]; Y[i] = h>0?h:0; float x1 = X1[i]; float x2 = X2[i]; float h = x1 + x2; Y[i] = h>0?h:0; 3FBE 3FBE 3FBE 8SJUF 8SJUF 3FBE 3FBE 8SJUF

άϥϑߏ଄࠷దԽ ࣄલʹొ࿥͞ΕͨύλʔϯʹԊͬͯάϥϑΛม׵ $POTUBOU'PMEJOH Add Var Const1 Const2 Const1 + Const2
ύλʔϯ ม׵ ఆ਺ ม਺

άϥϑߏ଄࠷దԽ ࣄલʹొ࿥͞ΕͨύλʔϯʹԊͬͯάϥϑΛม׵ Add x1 Add x3 x2 c1 c2

άϥϑߏ଄࠷దԽ ࣄલʹొ࿥͞ΕͨύλʔϯʹԊͬͯάϥϑΛม׵ Add x1 Add x3 x2 c1 c2 $POTUBOU'PMEJOH
Add x3 x2 c1 + c2

&YQSFTTJPO4JNQMJGJDBUJPO ఆ਺߲Λ·ͱΊɺࣜΛ୯७Խ͠ଞͷ࠷దԽΛ༰қʹ͢Δ x1 c1 c2 Add Add x2 Add (x1
+ c1) + (x2 + c2)

&YQSFTTJPO4JNQMJGJDBUJPO ఆ਺߲Λ·ͱΊɺࣜΛ୯७Խ͠ଞͷ࠷దԽΛ༰қʹ͢Δ x1 x2 c2 Add Add c1 Add (x1
+ c1) + (x2 + c2) = (x1 + x2) + (c1 + c2)

&YQSFTTJPO4JNQMJGJDBUJPO ఆ਺߲Λ·ͱΊɺࣜΛ୯७Խ͠ଞͷ࠷దԽΛ༰қʹ͢Δ x1 x2 c2 Add Add c1 Add $POTUBOU'PMEJOH

&YQSFTTJPO4JNQMJGJDBUJPO ఆ਺߲Λ·ͱΊɺࣜΛ୯७Խ͠ଞͷ࠷దԽΛ༰қʹ͢Δ x1 Add Add c1 + c2 x2

/PSNBMJ[BUJPO &YQSFTTJPO4JNQMJGJDBUJPO ఆ਺߲Λ·ͱΊɺࣜΛ୯७Խ͠ଞͷ࠷దԽΛ༰қʹ͢Δ x1 w Conv2D x2 s Mul x3
b Add

&YQSFTTJPO4JNQMJGJDBUJPO ఆ਺߲Λ·ͱΊɺࣜΛ୯७Խ͠ଞͷ࠷దԽΛ༰қʹ͢Δ x1 w Conv2D x2 s Mul x3 b
Add &YQSFTTJPO4JNQMJGJDBUJPO

&YQSFTTJPO4JNQMJGJDBUJPO ఆ਺߲Λ·ͱΊɺࣜΛ୯७Խ͠ଞͷ࠷దԽΛ༰қʹ͢Δ x1 Conv2D x3 b Add x4 s Mul
w

&YQSFTTJPO4JNQMJGJDBUJPO ఆ਺߲Λ·ͱΊɺࣜΛ୯७Խ͠ଞͷ࠷దԽΛ༰қʹ͢Δ x1 Conv2D x3 b Add x4 s Mul
w $POTUBOU'PMEJOH

&YQSFTTJPO4JNQMJGJDBUJPO ఆ਺߲Λ·ͱΊɺࣜΛ୯७Խ͠ଞͷ࠷దԽΛ༰қʹ͢Δ x1 Conv2D x3 b Add w * s

,FSOFM.FSHJOH &MFNFOUXJTFͳΧʔωϧΛ̍ͭʹ·ͱΊɺϝϞϦ΁ͷॻ͖ࠐΈ΍ ΧʔωϧͷσΟεύονʹΑΔΦʔόʔϔουΛݮΒ͢ Conv2D x2 Add Mul Add x3 x4
x9 Conv2D x6 Mul Add x7 x8 x10 Relu s1 b1 b2 s2 x1 w1 x5 w2

,FSOFM.FSHJOH &MFNFOUXJTFͳΧʔωϧΛ̍ͭʹ·ͱΊɺϝϞϦ΁ͷॻ͖ࠐΈ΍ ΧʔωϧͷσΟεύονʹΑΔΦʔόʔϔουΛݮΒ͢ Conv2D x2 Add Mul Add x3 x4
x9 Conv2D x6 Mul Add x7 x8 x10 Relu s1 b1 b2 s2 x1 w1 x5 w2 &MFNFOUXJTF

&MFNFOUXJTF ,FSOFM.FSHJOH &MFNFOUXJTFͳΧʔωϧΛ̍ͭʹ·ͱΊɺϝϞϦ΁ͷॻ͖ࠐΈ΍ ΧʔωϧͷσΟεύονʹΑΔΦʔόʔϔουΛݮΒ͢ Conv2D x2 Add Mul Add x3
x4 x9 Conv2D x6 Mul Add x7 x8 x10 Relu s1 b1 b2 s2 x1 w1 x5 w2 ճ 3FBEɾ8SJUF

&YQSFTTJPO4JNQMJGJDBUJPO ,FSOFM.FSHJOH &MFNFOUXJTFͳΧʔωϧΛ̍ͭʹ·ͱΊɺϝϞϦ΁ͷॻ͖ࠐΈ΍ ΧʔωϧͷσΟεύονʹΑΔΦʔόʔϔουΛݮΒ͢ Conv2D x2 Add Mul Add x3
x4 x9 Conv2D x6 Mul Add x7 x8 x10 Relu s1 b1 b2 s2 x1 w1 x5 w2 &YQSFTTJPO4JNQMJGJDBUJPO

,FSOFM.FSHJOH &MFNFOUXJTFͳΧʔωϧΛ̍ͭʹ·ͱΊɺϝϞϦ΁ͷॻ͖ࠐΈ΍ ΧʔωϧͷσΟεύονʹΑΔΦʔόʔϔουΛݮΒ͢ Conv2D Add Add x3 x4 x9 Conv2D
Add x7 x8 x10 Relu b1 b2 x1 w1 * s1 x5 w2 * s2

&YQSFTTJPO4JNQMJGJDBUJPO ,FSOFM.FSHJOH &MFNFOUXJTFͳΧʔωϧΛ̍ͭʹ·ͱΊɺϝϞϦ΁ͷॻ͖ࠐΈ΍ ΧʔωϧͷσΟεύονʹΑΔΦʔόʔϔουΛݮΒ͢ Conv2D Add Add x3 x4 x9
Conv2D Add x7 x8 x10 Relu b1 b2 x1 w1 * s1 x5 w2 * s2

$POTUBOU'PMEJOH ,FSOFM.FSHJOH &MFNFOUXJTFͳΧʔωϧΛ̍ͭʹ·ͱΊɺϝϞϦ΁ͷॻ͖ࠐΈ΍ ΧʔωϧͷσΟεύονʹΑΔΦʔόʔϔουΛݮΒ͢ Conv2D Add Add x3 x4 x9
Conv2D Add x8 x10 Relu b2 x1 w1 * s1 x5 w2 * s2 x7 b1

x10 Relu x1 w1 * s1 x5 w2 * s2 x7 b1 + b2

x10 Relu x1 w1 * s1 x5 w2 * s2 x7 b1 + b2 &MFNFOUXJTF,FSOFM.FSHJOH

,FSOFM.FSHJOH &MFNFOUXJTFͳΧʔωϧΛ̍ͭʹ·ͱΊɺϝϞϦ΁ͷॻ͖ࠐΈ΍ ΧʔωϧͷσΟεύονʹΑΔΦʔόʔϔουΛݮΒ͢ Conv2D MergedElementwise x3 Conv2D x10 x1 w1
* s1 x5 w2 * s2 x7 b1 + b2 ճ ˠճ 3FBEɾ8SJUF

,FSOFM.FSHJOH ,FSOFM.FSHJOHʹΑΔ࠷దԽͷޮՌ 4BGBSJ51.BD#PPL1SP&BSMZ 3FT/FU࣮ߦ࣌ؒ <NTJNBHF> WebGPU backend 最適化なし WebGPU
backend ,FSOFM.FSHJOH

ϝϞϦଳҬෆ଍΁ͷରࡦ %BUB'PSNBU0QUJNJ[BUJPO ܭࢉάϥϑதͷม਺ΛɺϝϞϦ্ʹͲͷΑ͏ʹ֨ೲ͢Δ͔Λ࠷దԽ • %BUB0SEFS 0QFSBUPSͷछྨɾೖग़ྗม਺ͷܗঢ়ͳͲʹΑΓదͨ͠σʔλΦʔμʔ͸ҟͳ Δ • ͋Δ0QFSBUPS͸/)8$Ͱɺผͷ0QFSBUPS͸/$)8ͰσʔλΛѻ͍͍ͨɺ ͱ͍ͬͨ͜ͱ͕͋Δ
• લޙͷ0QFSBUPS΋Ճຯͯ͠ೖग़ྗม਺ͷ%BUB 0SEFSΛܾΊΔ

ϝϞϦଳҬෆ଍΁ͷରࡦ %BUB'PSNBU0QUJNJ[BUJPO ܭࢉάϥϑதͷม਺ΛɺϝϞϦ্ʹͲͷΑ͏ʹ֨ೲ͢Δ͔Λ࠷దԽ • "MJHONFOUBOE1BEEJOH 4*.%໋ྩ΍(16ΧʔωϧதͰͷॲཧൣғͷ෼ׂׂΓ౰ͯʢ5JMJOHʣΛ༰қʹ ͢ΔͨΊʹߦྻͷαΠζɾΦϑηοτΛἧ͑Δ

ϝϞϦଳҬෆ଍΁ͷରࡦ ྫ (&..$"# ߦྻͷαΠζ͕λΠϧαΠζͰ ៉ྷʹׂΓ੾ΕΔΑ͏ ༧ΊύσΟϯά͓ͯ͘͠ " # $ 5JMF

ϝϞϦଳҬෆ଍΁ͷରࡦ ྫ (&..$"# ߦྻͷαΠζ͕λΠϧαΠζͰ ៉ྷʹׂΓ੾ΕΔΑ͏ ༧ΊύσΟϯά͓ͯ͘͠ " 1BEEJOH # $

%BUB'PSNBU 0QUJNJ[BUJPO %BUB'PSNBU 0QUJNJ[BUJPOʹΑΔ࠷దԽͷޮՌ 4BGBSJ51.BD#PPL1SP&BSMZ 3FT/FU࣮ߦ࣌ؒ <NTJNBHF> WebGPU backend 最適化なし
WebGPU backend + Elementwise Kernel Merging WebGPU backend + Elementwise Kernel Merging %BUB'PSNBU 0QUJNJ[BUJPO

·ͱΊ 8FC%//΢Σϒϒϥ΢β޲͚ਂ૚ֶशϞσϧߴ଎࣮ߦϑϨʔϜϫʔΫ IUUQTNJMUPLZPHJUIVCJPXFCEOO ΢Σϒ࠷৽࢓༷Λ༻͍ͨߴ଎ͳܭࢉόοΫΤϯυ 8FC(16ɾ8FC(-ɾ8FC"TTFNCMZʹΑΔ$16(16྆ํͰͷߴ଎ͳ࣮ߦ ܭࢉάϥϑ࠷దԽʹΑΔܭࢉͷߴ଎Խ ਪ࿦ϑΣʔζʹಛԽͨ͠࠷దԽʹΑΓܭࢉྔɾϞσϧύϥϝʔλαΠζΛ࡟ݮ
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ウェブブラウザ向け深層学習モデル高速実行フレームワーク「WebDNN」

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