how can I learn metal

Generated on 8/3/2024

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To learn Metal, you can start by exploring several sessions from WWDC that cover different aspects of using Metal for machine learning and game development. Here are some relevant sessions and chapters that you might find useful:

  1. Accelerate machine learning with Metal

    • Introduction: Overview of accelerating machine learning models using Metal.
    • Transformer support: Improvements to MPS and MPS Graph, focused on transformer models.
    • Fast Fourier transforms: New features to accelerate FFT-based ML models.
    • MPS Graph viewer: Tools for visualizing and debugging MPS Graphs.

  2. Train your machine learning and AI models on Apple GPUs

    • Training frameworks on Apple silicon: How to use frameworks like TensorFlow, PyTorch, JAX, and MLX with Metal backend.
    • PyTorch improvements: Enhancements in PyTorch for better performance on Apple GPUs.
    • ExecuTorch: Introduction to ExecuTorch for efficient model execution.
    • JAX features: New features in JAX for mixed precision and array indexing.

  3. Explore machine learning on Apple platforms

    • Apple Intelligence: Overview of Apple's machine learning capabilities.
    • ML-powered APIs: APIs that leverage machine learning on Apple platforms.
    • Running models on device: How to run and optimize models on Apple devices.
    • Research: Insights into ongoing research and future directions.

  4. Port advanced games to Apple platforms

    • Evaluate your game: Assessing your game's compatibility with Apple platforms.
    • Port your game: Steps to port your game to macOS and iOS.
    • Configuration: Setting up your project for Metal.
    • Shaders: Using Metal shader converter and optimizing shaders.
    • Graphics: Advanced graphics features in Metal.
    • Input and rumble: Implementing input and haptic feedback.
    • Audio: Integrating audio in your game.
    • Cloud saves: Using cloud saves for game data.
    • Debug and profile with Metal tools: Tools for debugging and profiling Metal applications.

These sessions provide a comprehensive guide to getting started with Metal, whether you're focusing on machine learning or game development. You can find more detailed information and examples in the respective videos and documentation provided by Apple.

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Port advanced games to Apple platforms

Port advanced games to Apple platforms

Discover how simple it can be to reach players on Apple platforms worldwide. We’ll show you how to evaluate your Windows executable on Apple silicon, start your game port with code samples, convert your shader code to Metal, and bring your game to Mac, iPhone, and iPad. Explore enhanced Metal tools that understand HLSL shaders to validate, debug, and profile your ported shaders on Metal.

Accelerate machine learning with Metal

Accelerate machine learning with Metal

Learn how to accelerate your machine learning transformer models with new features in Metal Performance Shaders Graph. We’ll also cover how to improve your model’s compute bandwidth and quality, and visualize it in the all new MPSGraph viewer.

Train your machine learning and AI models on Apple GPUs

Train your machine learning and AI models on Apple GPUs

Learn how to train your models on Apple Silicon with Metal for PyTorch, JAX and TensorFlow. Take advantage of new attention operations and quantization support for improved transformer model performance on your devices.

Explore machine learning on Apple platforms

Explore machine learning on Apple platforms

Get started with an overview of machine learning frameworks on Apple platforms. Whether you’re implementing your first ML model, or an ML expert, we’ll offer guidance to help you select the right framework for your app’s needs.