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The comprehensive suite of Metal developer tools are fully compatible with the Metal shader converter After preparing your project to include debug information when compiling you can Use advanced Metal features such as Indirect Command Buffers Sparse Textures and Variable Rate Rasterization to implement modern rendering algorithms This sample uses advanced
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Get started with tensorflow metal Accelerate the training of machine learning models with TensorFlow right on your Mac Install base TensorFlow and the tensorflow metal Metal 4 also introduces other shader compilation features that can improve your app s performance by helping you only build the pipeline configurations it needs including Function
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PyTorch uses the new Metal Performance Shaders MPS backend for GPU training acceleration This MPS backend extends the PyTorch framework providing scripts and capabilities to set up Apple Developer
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Metal also enables tight integration of machine learning with scalable performance across Apple platforms and includes an unparalleled suite of GPU profiling and debugging tools to help you

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The comprehensive suite of Metal developer tools are fully compatible with the Metal shader converter After preparing your project to include debug information when compiling you can

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