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DeepLearning (α )
!1
• 

→ MLOps 

Edge AI ( )
• ML CV (´ )
• ML
2


@cocodrips
Topic
• TF Lite
• Convert
• TF Lite AI framework
3
TF Lite
TensorFlow Lite
• ( ) IoT 

•
5
TensorFlow Lite
• Weight : float16, uint8(dynamic range)
‣ float16/integer option convert
‣
• Weight Activation : uint8
‣
‣
6
Weight
• Tensorflow float32 Weight 

‣
‣
‣
• Weight Float16 : 1/2
• Weight uint8 : 1/4, 2~3
※Activation Full integer quantization 

1/4 3
7
8




*1: coco-dataset, *2: open-images-v4
( )
• weight float16 faiss


uint8
• uint8 Face detection
demo
9
Convert
convert
1. SavedModel convert
2. checkpoint convert





11
SavedModel convert
SavedModel convert ( )
‣ TF Lite
‣ Tensorflow → TensorFlow Lite
mapping
‣ or SavedModel TF Lite
12
Checkpoint Convert
Checkpoint+GraphDef convert
‣ TF Lite
‣ shape: -1
‣ TF ObjectDetection API Slim( )
exporter GraphDef
13
Convert
• Python API:
• tflite_convert:
• toco:
14
Python API
•
• SavedModel Keras
• option (input_shapes )
• v2 API post_training_quantize
v1 API
15
tflite_convert
• SavedModel Keras
•
tflite_convert
• PythonAPI TF2 install tflite_convert
TF1
16
toco
• tflite_convert Python API
• saved_model, graphdef
• bazel build
• convert
• checkpoint + graph def convert
• 

17
convert
18


slim
slim exporter
freeze_graph 

batch_size
toco convert
float16
• convert
•
19
20
Convert
( !!)


> [Tensorflow Lite] Various Neural Network Model
quantization methods for Tensorflow Lite (Weight
Quantization, Integer Quantization, Full Integer Quantization,
Float16 Quantization, EdgeTPU). As of May 05, 2020.
slim convert 

> Tensorflow TFLite convert convert
21
TF Lite framework
Firebase MLKit (β)
23
• Android / iOS SDK
• TFLite
• 10
• firebase up DL 

• RemoteConfig(Firebase) AB ?
Core ML
• iOS SDK
• TFLite
• iOS11 OS
• Android framework
24
Mediapipe
• framework
‣
‣ UI
• TFLite
• Android/iOS 

iOS obj-c framework
25
26
• TensorFlow Lite
• convert & weight
• TensorFlow Lite AI Framework
• TF Lite
• TF Lite v1, v2 API
27

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スマホでDeepLearning実践入門(α版)