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swift-mlx

by ml-explore

MLX Swift - High-performance ML framework for Apple Silicon with lazy evaluation, automatic differentiation, and unified memory

Installation

Pick a client and clone the repository into its skills directory.

Installation

Quick info

Author
ml-explore
Category
Mobile
GitHub repo

About this skill

MLX Swift - High-performance ML framework for Apple Silicon with lazy evaluation, automatic differentiation, and unified memory

How to use

  1. Zaimportuj MLX do swojego projektu Swift, dodając import MLX na początku pliku. 2. Utwórz tablice MLXArray za pomocą konstruktorów: MLXArray([1, 2, 3, 4]) dla danych, MLXArray.zeros([2, 3]) dla zer, MLXArray.ones([4, 4], dtype: .float32) dla jedynek, lub MLXRandom.uniform(0.0 ..< 1.0, [3, 3]) dla wartości losowych. 3. Wykonuj operacje na tablicach korzystając z modułu Ops.swift — framework obsługuje standardowe operacje matematyczne i transformacje. 4. Buduj sieci neuronowe za pomocą warstw z MLXNN — definiuj moduły, warstwy i funkcje straty dla swojej architektury. 5. Trenuj modele z automatycznym różniczkowaniem — użyj transformacji z Transforms.swift do obliczania gradientów i optymalizatorów z MLXOptimizers do aktualizacji wag. 6. Optymalizuj wydajność poprzez JIT compilation i niestandardowe jądra Metal dostępne w MLXFast.swift dla krytycznych operacji.

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