MLX Framework
Apple's machine learning framework with M5 chip neural accelerator support.
MLX Basics
import MLX
// ✅ Load and run ML model with MLX
func runMLXModel() async throws {
let model = try await MLXModel.load(from: modelURL)
// Leverages M5 neural accelerators automatically
let input = MLXArray(data: inputData)
let output = try await model.predict(input)
print("Prediction: \(output)")
}Neural Accelerator Access (M5)
// ✅ Optimize for M5 chip
func configureForM5() {
MLX.configuration.useNeuralAccelerators = true
MLX.configuration.preferredDevice = .neuralEngine
}
// ✅ Check hardware capabilities
func checkMLXCapabilities() -> Bool {
MLX.neuralAcceleratorsAvailable
}Training on Device
// ✅ On-device model training
func trainModel() async throws {
let trainer = MLXTrainer(model: model)
trainer.configuration.device = .neuralEngine
for epoch in 0..<numEpochs {
let loss = try await trainer.train(epoch: epoch, data: trainingData)
print("Epoch \(epoch): Loss = \(loss)")
}
try await trainer.save(to: modelURL)
}