Fix float64 GPU error and Swift 6 compatibility

- Use Float instead of Double for MLXArray to fix GPU error
- Add await for actor-isolated generate method (Chapter11)
- Fix sendable closure capture issue (Chapter14)

Author: hyochan

AppleMLXTutorials/AppleMLXTutorials.entitlements

@@ -1,14 +1,5 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
 <plist version="1.0">
-<dict>
-    <key>com.apple.security.app-sandbox</key>
-    <false/>
-    <key>com.apple.security.network.client</key>
-    <true/>
-    <key>com.apple.security.files.user-selected.read-write</key>
-    <true/>
-    <key>com.apple.security.files.downloads.read-write</key>
-    <true/>
-</dict>
+<dict/>
 </plist>

AppleMLXTutorials/Views/Chapters/Chapter11View.swift

@@ -295,7 +295,7 @@ struct Chapter11View: View {
                 )
 
                 // AsyncStream으로 토큰 생성
-                let stream = try model.generate(
+                let stream = try await model.generate(
                     input: lmInput,
                     parameters: parameters
                 )

AppleMLXTutorials/Views/Chapters/Chapter14View.swift

@@ -343,9 +343,10 @@ struct Chapter14View: View {
                         lastXt = xt
                         stepCount += 1
 
+                        let currentStep = stepCount
                         Task { @MainActor in
-                            generationSteps = stepCount
-                            generationProgress = Double(stepCount) / Double(totalSteps)
+                            generationSteps = currentStep
+                            generationProgress = Double(currentStep) / Double(totalSteps)
                         }
                     }
 

AppleMLXTutorials/Views/Chapters/Chapter2View.swift

@@ -143,11 +143,11 @@ struct Chapter2View: View {
             var result = ""
 
             // 1. 기본 배열 생성
-            let a = MLXArray([1.0, 2.0, 3.0, 4.0])
+            let a = MLXArray([1.0, 2.0, 3.0, 4.0] as [Float])
             result += "1D 배열: \(a)\n"
 
             // 2. 2D 배열 (행렬)
-            let matrix = MLXArray([1.0, 2.0, 3.0, 4.0, 5.0, 6.0]).reshaped([2, 3])
+            let matrix = MLXArray([1.0, 2.0, 3.0, 4.0, 5.0, 6.0] as [Float]).reshaped([2, 3])
             result += "2D 행렬:\n\(matrix)\n"
             result += "  shape: \(matrix.shape)\n"
             result += "  ndim: \(matrix.ndim)\n"
@@ -169,7 +169,7 @@ struct Chapter2View: View {
             result += "Range [0, 5): \(range)\n\n"
 
             // 5. 데이터 타입 변환
-            let floats = MLXArray([1.0, 2.0, 3.0])
+            let floats = MLXArray([1.0, 2.0, 3.0] as [Float])
             result += "Float32 배열: \(floats)\n"
             result += "dtype: \(floats.dtype)"
 

AppleMLXTutorials/Views/Chapters/Chapter3View.swift

@@ -167,8 +167,8 @@ struct Chapter3View: View {
             var result = ""
 
             // 산술 연산
-            let a = MLXArray([1.0, 2.0, 3.0, 4.0])
-            let b = MLXArray([2.0, 2.0, 2.0, 2.0])
+            let a = MLXArray([1.0, 2.0, 3.0, 4.0] as [Float])
+            let b = MLXArray([2.0, 2.0, 2.0, 2.0] as [Float])
 
             result += "== 산술 연산 ==\n"
             result += "a = \(a)\n"
@@ -180,15 +180,15 @@ struct Chapter3View: View {
 
             // 수학 함수
             result += "== 수학 함수 ==\n"
-            let x = MLXArray([1.0, 4.0, 9.0, 16.0])
+            let x = MLXArray([1.0, 4.0, 9.0, 16.0] as [Float])
             result += "x = \(x)\n"
             result += "sqrt(x) = \(sqrt(x))\n"
             result += "log(x) = \(log(x))\n"
             result += "square(x) = \(square(x))\n\n"
 
             // 집계 연산
             result += "== 집계 연산 ==\n"
-            let matrix = MLXArray([1.0, 2.0, 3.0, 4.0, 5.0, 6.0]).reshaped([2, 3])
+            let matrix = MLXArray([1.0, 2.0, 3.0, 4.0, 5.0, 6.0] as [Float]).reshaped([2, 3])
             result += "matrix:\n\(matrix)\n"
             result += "sum() = \(matrix.sum())\n"
             result += "mean() = \(matrix.mean())\n"

AppleMLXTutorials/Views/Chapters/Chapter4View.swift

@@ -190,7 +190,7 @@ struct Chapter4View: View {
 
             // 지연 계산 데모
             result += "== 지연 계산 데모 ==\n"
-            let x = MLXArray([1.0, 2.0, 3.0])
+            let x = MLXArray([1.0, 2.0, 3.0] as [Float])
             let y = x * 2
             let z = y + 1
             result += "x = \(x)\n"

AppleMLXTutorials/Views/Chapters/Chapter6View.swift

@@ -199,7 +199,7 @@ struct Chapter6View: View {
 
             // 2. 활성화 함수
             result += "== 활성화 함수 ==\n"
-            let x = MLXArray([-2.0, -1.0, 0.0, 1.0, 2.0])
+            let x = MLXArray([-2.0, -1.0, 0.0, 1.0, 2.0] as [Float])
             result += "입력: \(x)\n"
             result += "ReLU: \(relu(x))\n"
             result += "Sigmoid: \(sigmoid(x))\n"

AppleMLXTutorials/Views/Chapters/Chapter7View.swift

@@ -193,7 +193,7 @@ struct Chapter7View: View {
 
             // 활성화 함수 비교
             result += "== 활성화 함수 비교 ==\n"
-            let x = MLXArray([-2.0, -1.0, 0.0, 1.0, 2.0])
+            let x = MLXArray([-2.0, -1.0, 0.0, 1.0, 2.0] as [Float])
             result += "입력 x: \(x)\n\n"
 
             let reluOut = relu(x)
@@ -218,7 +218,7 @@ struct Chapter7View: View {
 
             // Softmax
             result += "== Softmax ==\n"
-            let logits = MLXArray([1.0, 2.0, 3.0, 4.0])
+            let logits = MLXArray([1.0, 2.0, 3.0, 4.0] as [Float])
             let probs = softmax(logits)
             eval(probs)
             result += "Logits: \(logits)\n"
@@ -227,8 +227,8 @@ struct Chapter7View: View {
 
             // MSE Loss
             result += "== MSE Loss ==\n"
-            let predictions = MLXArray([1.0, 2.0, 3.0, 4.0])
-            let targets = MLXArray([1.1, 2.2, 2.9, 3.8])
+            let predictions = MLXArray([1.0, 2.0, 3.0, 4.0] as [Float])
+            let targets = MLXArray([1.1, 2.2, 2.9, 3.8] as [Float])
             let mse = mean(square(predictions - targets))
             eval(mse)
             result += "예측: \(predictions)\n"
@@ -237,7 +237,7 @@ struct Chapter7View: View {
 
             // Cross-Entropy 데모
             result += "== Cross-Entropy 개념 ==\n"
-            let classLogits = MLXArray([2.0, 1.0, 0.1, 0.5, 2.5, 0.3]).reshaped([2, 3])
+            let classLogits = MLXArray([2.0, 1.0, 0.1, 0.5, 2.5, 0.3] as [Float]).reshaped([2, 3])
             let classProbs = softmax(classLogits, axis: -1)
             eval(classProbs)
             result += "Logits:\n\(classLogits)\n"