皆敬庄韓岳とメモリ砿尖

Apr 16, 20180 likes336 views

The document describes Swift memory management concepts like reference types vs value types, strong and weak references, capture lists, and closure capture of self. It demonstrates how value types do not share state between copies while reference types do, and how weak references prevent strong reference cycles. It also shows how to capture self weakly in a closure to avoid a strong reference cycle.

?
struct ValueType {
var value = 1
}
let obj1 = ValueType()
var obj2 = obj1
obj2.value = 2
print(obj1.value) // 1

?
struct ValueType {
var value = 1
}
let obj1 = ValueType()
var obj2 = obj1
obj2.value = 2
print(obj1.value) // 1
obj1 1

?
struct ValueType {
var value = 1
}
let obj1 = ValueType()
var obj2 = obj1
obj2.value = 2
print(obj1.value) // 1
obj1 1
obj2 1

?
struct ValueType {
var value = 1
}
let obj1 = ValueType()
var obj2 = obj1
obj2.value = 2
print(obj1.value) // 1
obj1 1
obj2 2

class ReferenceType {
var value = 1
}
let obj1 = ReferenceType()
let obj2 = obj1
obj2.value = 2
print(obj1.value) // 2
?

class ReferenceType {
var value = 1
}
let obj1 = ReferenceType()
let obj2 = obj1
obj2.value = 2
print(obj1.value) // 2
?
instance
1

class ReferenceType {
var value = 1
}
let obj1 = ReferenceType()
let obj2 = obj1
obj2.value = 2
print(obj1.value) // 2
?
obj1
instance
1

class ReferenceType {
var value = 1
}
let obj1 = ReferenceType()
let obj2 = obj1
obj2.value = 2
print(obj1.value) // 2
?
obj1
obj2
instance
1

class ReferenceType {
var value = 1
}
let obj1 = ReferenceType()
let obj2 = obj1
obj2.value = 2
print(obj1.value) // 2
?
obj1
obj2
instance
2

?
class Chicken {
var egg: Egg!
}
class Egg {
var parent: Chicken!
}
let ? = Chicken()
let ? = Egg()
?.egg = ?
?.parent = ?

?
class Chicken {
var egg: Egg!
}
class Egg {
var parent: Chicken!
}
let ? = Chicken()
let ? = Egg()
?.egg = ?
?.parent = ?
?
egg

?
class Chicken {
var egg: Egg!
}
class Egg {
var parent: Chicken!
}
let ? = Chicken()
let ? = Egg()
?.egg = ?
?.parent = ?
?
parent
?
egg

?
class Chicken {
weak var egg: Egg?
}
class Egg {
var parent: Chicken!
}
let ? = Chicken()
let ? = Egg()
?.egg = ?
?.parent = ?

?
class Chicken {
weak var egg: Egg?
}
class Egg {
var parent: Chicken!
}
let ? = Chicken()
let ? = Egg()
?.egg = ?
?.parent = ?
?
parent
?
egg

?
?class MyClass {
var closure: (() -> Void)? = nil
func test() {
closure = {
self.method()
}
}
func method() { // }
}
let obj1 = MyClass()
obj1.test()

?
?class MyClass {
var closure: (() -> Void)? = nil
func test() {
closure = {
self.method()
}
}
func method()
}
let obj1 = MyClass()
obj1.test()
instance
closure
obj1
= nil

?
?class MyClass {
var closure: (() -> Void)? = nil
func test() {
closure = {
self.method()
}
}
func method()
}
let obj1 = MyClass()
obj1.test()
instance
closure
obj1
= nil
( )
self

?
?class MyClass {
var closure: (() -> Void)? = nil
func test() {
closure = {
self.method()
}
}
func method()
}
let obj1 = MyClass()
obj1.test()
instance
closure
obj1 ( )
self
= nil

?
?class MyClass {
var closure: (() -> Void)? = nil
func test() {
closure = {
self.method()
}
}
func method()
}
let obj1 = MyClass()
obj1.test()
instance
closure
obj1 ( )
self

?
class MyClass {
var closure: (() -> Void)? = nil
func test() {
closure = { [weak self] in
self?.method()
}
}
func method()
}
let obj1 = MyClass()
obj1.test()

?
class MyClass {
var closure: (() -> Void)? = nil
func test() {
closure = { [weak self] in
self?.method()
}
}
func method()
}
let obj1 = MyClass()
obj1.test()
instance
closure
obj1
( )
self

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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/addressing-evolving-ai-model-challenges-through-memory-and-storage-a-presentation-from-micron/ Wil Florentino, Senior Segment Marketing Manager at Micron, presents the ＾Addressing Evolving AI Model Challenges Through Memory and Storage￣ tutorial at the May 2025 Embedded Vision Summit. In the fast-changing world of artificial intelligence, the industry is deploying more AI compute at the edge. But the growing diversity and data footprint of transformers and models such as large language models and large multimodal models puts a spotlight on memory performance and data storage capacity as key bottlenecks. Enabling the full potential of AI in industries such as manufacturing, automotive, robotics and transportation will require us to find efficient ways to deploy this new generation of complex models. In this presentation, Florentino explores how memory and storage are responding to this need and solving complex issues in the AI market. He examines the storage capacity and memory bandwidth requirements of edge AI use cases ranging from tiny devices with severe cost and power constraints to edge servers, and he explains how new memory technologies such as LPDDR5, LPCAMM2 and multi-port SSDs are helping system developers to meet these challenges.