Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Core ML vs MPS vs BNNS #fincwwdc
Search
shu223
July 24, 2017
Programming
5.9k
3
Share
Core ML vs MPS vs BNNS #fincwwdc
2017.7.24 WWDC2017振り返り勉強会@FiNC
での発表資料です。
shu223
July 24, 2017
More Decks by shu223
See All by shu223
slidify-sample
shu223
1
1.5k
機械学習のブルーオーシャン Core ML by 堤 修一 #iOSDC Japan 2020
shu223
12
5.9k
エンジニアのための発信講座 #4 登壇しよう
shu223
0
160
エンジニアのための発信講座 #3
shu223
0
150
エンジニアのための発信講座 #2
shu223
2
270
エンジニアのための発信講座 #1
shu223
1
1k
今こそwatchOS #iosdc
shu223
5
11k
Depth in Depth #iOSDC
shu223
4
31k
Metal Acceleratedかどうかを調べる方法〜あなたのアプリのどこでMetalが暗躍しているのか #potatotips
shu223
1
1.7k
Other Decks in Programming
See All in Programming
柔軟なPDFレイアウトエディタを支える型システム設計 — Discriminated UnionとConditional Typeの実践
minako__ph
4
1.4k
CSC307 Lecture 17
javiergs
PRO
0
310
セキュリティの専門家じゃなくてもできる。「セキュリティ意識」をアップデートして サプライチェーン攻撃への耐性を高めよう。
tk3fftk
5
610
LLM本来の能力を解き放つサンドボックス技術とAI民主化への適用
yukukotani
3
2.7k
Lessons from Spec-Driven Development
simas
PRO
0
130
JavaDoc 再入門
nagise
0
270
3Dシーンの圧縮
fadis
1
600
Lemonade + Foundry Toolkit でお手軽アプリ開発
seosoft
1
290
Oxlintのカスタムルールの現況
syumai
5
990
決定論的オーケストレーションの設計と実装 / Design and Implementation of Deterministic Orchestration
nrslib
3
970
ふつうのFeature Flag実践入門
irof
7
3.5k
AIエージェントと協働するCLI開発 — BunとOpenClawで学んだこと
yoshikouki
1
230
Featured
See All Featured
A Guide to Academic Writing Using Generative AI - A Workshop
ks91
PRO
1
320
SEO for Brand Visibility & Recognition
aleyda
0
4.6k
How to Ace a Technical Interview
jacobian
281
24k
Optimizing for Happiness
mojombo
378
71k
Statistics for Hackers
jakevdp
799
230k
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
360
Lessons Learnt from Crawling 1000+ Websites
charlesmeaden
PRO
1
1.3k
It's Worth the Effort
3n
188
29k
The Mindset for Success: Future Career Progression
greggifford
PRO
0
350
A Soul's Torment
seathinner
6
2.9k
Digital Ethics as a Driver of Design Innovation
axbom
PRO
1
300
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
231
23k
Transcript
Core ML vs MPSCNN vs BNNS Shuichi Tsutsumi @shu223
!!!Core ML!!!
None
Core MLͷηογϣϯ Ұ൪େ͖͍ձͰ΄΅ຬһ
ਖ਼ࣜϦϦʔεલʹͯ͠طʹଟ͘ͷਓ͕ʹ
ͪΐɺͪΐͬͱͬͯ
ଞͷػցֶशπʔϧͰֶशͨ͠ϞσϧΛ iOSΞϓϦʹ͖࣋ͬͯͯʮਪʯΛߦ͏
ଞͷػցֶशπʔϧͰֶशͨ͠ϞσϧΛ iOSΞϓϦʹ͖࣋ͬͯͯʮਪʯΛߦ͏ → ͜Εࣗମ iOS 10 ͔ΒͰ͖ͨ
Metal Performance Shaders Accelerate (BNNS) Core ML Vision Your App
Metal Performance Shaders Accelerate (BNNS) Core ML Vision Your App
iOS 11
Metal Performance Shaders Accelerate (BNNS) Core ML Vision Your App
iOS 11 iOS 10
Metal Performance Shaders Accelerate (BNNS) Your App iOS 10
Metal Performance Shaders Accelerate (BNNS) Your App iOS 10
Metal Performance Shaders Accelerate (BNNS) Your App iOS 10 ͜ΕͰOK
Metal Performance Shaders Accelerate (BNNS) Your App iOS 10 •
iOS 10Ͱ͑Δ • વMetalͰॲཧ͞ΕΔʢMPSCNNͷ߹ʣ • ֶशଆɺTensorFlowͰKerasͰجຊతʹԿͰOK ͜ΕͰOK
͏ਖ਼ࣜϦϦʔε͔Β1ۙ͘ܦͭͷʹ ΄ͱΜͲʹͳͬͯͳ͍
ʢ୭͔ͷʣʮલ͔Β͋ΔͬͯͷΘ͔ͬͯ ·͢ΑɻͰMPSCNNͬͯػցֶशϑ ϨʔϜϫʔΫ͔Βॻ͖ग़ͨ͠Ϟσϧͷωο τϫʔΫͷߏ·ͰಡΜͰ͘Εͳ͍Ͱ͠ΐʁ ͰɺࣗͰͦ͜Λ࣮͢ΔΜͰ͠ΐʁͦΜ ͳͷΊΜͲͯͬͯ͘͘͞ΒΕͳ͍Ͱ͢Αʯ
͜Εͦͷ௨Γ
ͨͩɺ • ͜Ε΄Ͳͷͷ͕ࠩɺMPSCNNͷ۩ମతͳ͔ܽΒདྷ͍ͯΔͱࢥ͑ͳ͍ • ୯ʹʮMPSCNNͰʰͦΕʱ͕Ͱ͖Δʯͱ͍͏͜ͱ͕ΒΕ͍ͯͳ͔͚ͬͨͩͰʁ • ͔֬ʹɺใݯ͕Appleͷαϯϓϧ͙Β͍͔͠ͳ͔ͬͨ
࣮खॱ͕໌ࣔ͞ΕͯΕͬͱ͏ਓ͕ग़ͯ͘Δ ͷͰͳ͍͔ʁ ʢগͳ͘ͱCore MLʹڵຯ͕͋Δਓͪ͜Βݕ౼ͯ͠Έ͍͍ͯͣʣ ࣮खॱʢΘ͔ͬͯΈΕʣҙ֎ͱγϯϓϧ
MPSCNNΛ༻͍ͨػցֶशػೳͷ ࣮खॱ ̏εςοϓ
Step 1: ϞσϧΛͭ͘Δ
ֶशπʔϧɿͳΜͰ͍͍ Train ʢ˞$//ͷֶश͕Ͱ͖ͯύϥϝʔλΛॻ͖ग़ͤΔͷͰ͋Εʣ
ֶशπʔϧɿͳΜͰ͍͍ ϞσϧͷϑΥʔϚοτɿͳΜͰ͍͍ Train Model (Trained Params) dat or hdf5 •
χϡʔϥϧωοτϫʔΫͷʮॏΈʯ ͱʮόΠΞεʯͱ͍͏ύϥϝʔλ͕ ೖ͍ͬͯΔ • datͨͩͷόΠφϦϑΝΠϧ • iOSΞϓϦͰಡΈࠐΊ͑͢͞Εͳ ΜͰ͍͍ ʢ˞$//ͷֶश͕Ͱ͖ͯύϥϝʔλΛॻ͖ग़ͤΔͷͰ͋Εʣ
Step 2: ωοτϫʔΫΛ࣮͢Δ
None
MPSCNNConvolution MPSCNNFullyConnected MPSCNNPooling MPSCNNConvolution MPSCNNConvolution MPSCNNPooling
MPSCNNConvolution MPSCNNFullyConnected MPSCNNPooling MPSCNNConvolution MPSCNNConvolution MPSCNNPooling CNNͷ֤ʹରԠͨ͠Ϋϥε͕MPSʹ༻ҙ͞Ε͍ͯΔ
MPSCNNConvolution MPSCNNFullyConnected MPSCNNPooling MPSCNNConvolution MPSCNNConvolution MPSCNNPooling CNNͷ֤ʹରԠͨ͠Ϋϥε͕MPSʹ༻ҙ͞Ε͍ͯΔ • Convolution Layer
-> MPSCNNConvolution ͱ໊લͦͷ··ͳͷͰɺ࣮ʹͦΕ ΄Ͳ໎͏͜ͱͳ͍ • ͍͜͠ߦྻܭࢉɺGPUͰͷฒྻԋࢉͷ࠷దԽΛࣗͰҙࣝ͢Δඞཁͳ͍ • Step1Ͱֶͭͬͨ͘शࡁΈύϥϝʔλϑΝΠϧ͔ΒಡΜͰ͖ͯϙΠϯλΛ͢
Step 3: ਪͷ࣮ߦॲཧΛॻ͘
Input image MPSImage Result (UInt, etc.) CNN • Step 2Ͱ࣮ͨ͠ωοτϫʔΫ
• Step 1Ͱֶͭͬͨ͘शࡁΈϞσϧ ʢύϥϝʔλʣΛಡΈࠐΜͰ͍Δ Do something
؆୯ͦ͏Ͱ͠ΐʁ
MPSCNNͰ࣮ͨ͠ Swiftϩΰೝࣝ • MPSCNNͳͷͰiOS 10Ͱಈ͘
BUT
ϩΰೝࣝͷωοτϫʔΫ
GoogLeNet (Inception v3: Ұൠମೝࣝ༻ͷϞσϧ)
GoogLeNet (Inception v3: Ұൠମೝࣝ༻ͷϞσϧ) ஈҧ͍ʹෳࡶ
GoogLeNet (Inception v3: Ұൠମೝࣝ༻ͷϞσϧ)) MPSCNNΛ༻͍ͨAppleʹΑΔެ࣮ࣜ
GoogLeNet (Inception v3: Ұൠମೝࣝ༻ͷϞσϧ)) MPSCNNΛ༻͍ͨAppleʹΑΔެ࣮ࣜ
GoogLeNet (Inception v3: Ұൠମೝࣝ༻ͷϞσϧ)) MPSCNNΛ༻͍ͨAppleʹΑΔެ࣮ࣜ
GoogLeNet (Inception v3: Ұൠମೝࣝ༻ͷϞσϧ)) MPSCNNΛ༻͍ͨAppleʹΑΔެ࣮ࣜ
GoogLeNet (Inception v3: Ұൠମೝࣝ༻ͷϞσϧ)) MPSCNNΛ༻͍ͨAppleʹΑΔެ࣮ࣜ
GoogLeNet (Inception v3: Ұൠମೝࣝ༻ͷϞσϧ)) MPSCNNΛ༻͍ͨAppleʹΑΔެ࣮ࣜ
GoogLeNet (Inception v3: Ұൠମೝࣝ༻ͷϞσϧ)) MPSCNNΛ༻͍ͨAppleʹΑΔެ࣮ࣜ
GoogLeNet (Inception v3: Ұൠମೝࣝ༻ͷϞσϧ)) MPSCNNΛ༻͍ͨAppleʹΑΔެ࣮ࣜ 3,000ߦ" ʢωοτϫʔΫ෦͚ͩͰʣ
͜ΕҎ֎ʹ • ػցֶशπʔϧଆͰόΠφϦϑΝΠϧΛॻ͖ग़͢Α͏ʹ͢ΔͷଟগΊΜͲ͍͘͞ • ֶशࡁΈύϥϝʔλͷೖͬͨόΠφϦσʔλΛಡΈࠐΜͰϙΠϯλΛ͢ͱ͔Cͬ Ά͍࣮͕ඞཁ • ೖग़ྗͷࡍʹMPSImageͱ͍͏ΫϥεΛѻ͏ඞཁ͕͋Γɺೖྗը૾Λมͨ͠Γ ਪ݁ՌΛऔΓग़ͨ͠Γ͢ΔࡍʹMetalͷϨΠϠʔͰΞϨίϨ͢Δඞཁ͕͋Δ
͜ΕҎ֎ʹ • ػցֶशπʔϧଆͰόΠφϦϑΝΠϧΛॻ͖ग़͢Α͏ʹ͢ΔͷଟগΊΜͲ͍͘͞ • ֶशࡁΈύϥϝʔλͷೖͬͨόΠφϦσʔλΛಡΈࠐΜͰϙΠϯλΛ͢ͱ͔Cͬ Ά͍࣮͕ඞཁ • ೖग़ྗͷࡍʹMPSImageͱ͍͏ΫϥεΛѻ͏ඞཁ͕͋Γɺೖྗը૾Λมͨ͠Γ ਪ݁ՌΛऔΓग़ͨ͠Γ͢ΔࡍʹMetalͷϨΠϠʔͰΞϨίϨ͢Δඞཁ͕͋Δ →
֓೦γϯϓϧ͕ͩͬͺΓ৭ʑΊΜͲ͍͘͞
Core MLπʔϧͰมͯ͠Xcodeϓϩ δΣΫτʹυϥοάˍυϩοϓ͢Δ͚ͩʂ
VisionΛ͑CIImageܕͰೖྗͰ ͖ɺ݁ՌͷऔΓग़͠؆୯ → MetalϨΠϠʹҰλον͢Δඞཁͳ͠
ͦ͏͍͏Θ͚Ͱ
Metal Performance Shaders Accelerate (BNNS) Your App iOS 10
Metal Performance Shaders Accelerate (BNNS) Core ML Vision Your App
iOS 11 iOS 10
ͬͺΓ͋Γ͕͍ͨ###
·ͱΊ • Core ML͕͜Μͳʹܴ͞ΕͯΔͷʹʮࠓ͙͢ϦϦʔε൛Ͱ͑ ΔʯMPSCNN͕͋·Γʹͳͬͯͳ͍ - ใ͕গͳ͘ɺ͍ํ͕Θͬͯͳ͍͚ͩͰͳ͍͔ • MPSCNNΛར༻࣮ͨ͠खॱ3εςοϓ -
Ϟσϧ࡞ˠωοτϫʔΫ࣮ˠਪ࣮ߦ - େہతʹΈΕҙ֎ͱγϯϓϧʹ͑Δ - ͔͠͠ਖ਼ͳͱ͜Ζେมͳ෦͋Δ • ͦ͜Λܶతʹ؆୯ʹͨ͠ͷ͕Core ML & Vision
͝ਗ਼ௌ͋Γ͕ɾɾɾ
Core ML vs MPSCNN vs BNNS
Εͯͨɾɾɾ Metal Performance Shaders Accelerate (BNNS) Core ML Vision Your
App
CNN on CPU?$
WWDC17ͷMetalϥϘͰฉ͍ͯΈ·ͨ͠ ʮͲ͏ͬͯMPSCNNͱBNNSΛ͍ ͚ͨΒ͍͍ͷʁʯ
ʮجຊతʹMPSCNNͬͯΕ͍͍Αʯ %
ʮ͑ͬɺ͡Ό͋BNNS͍ͭ͏ͷʁʯ
“I don’t know.” %
• ͦͷޙɺʮ͋ɺͰApple WatchGPUͳ͍͔ΒɺwatchOSͱ͔ BNNSͷ͍Ͳ͜Ζ͔Ͷʯͱݴͬͯͨ • ಈ͘ɺͱ͍͕ͬͯ͢͞ʹ⌚ͰϚγϯύϫʔ͕͖͍ͭͷͰͳ͍͔ ͱʢ˞࣮ػͰࢼͨ͜͠ͱͳ͍Ͱ͢ʣ • খ͍͞ωοτϫʔΫͰBNNSͷํ͕͔ͬͨͱ͍͏هࣄݟͨ͜ͱ͕ ͋Δʢ+25%ʣ
• جຊతʹ BNNSͷ͜ͱΕͯΑͦ͞͏ʢݸਓత݁ʣ
͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠ʂ