llama.cpp Adds Depthwise Convolution Support for Metal and Diverse Platforms

The update introduces CONV_2D_DW (depthwise 2D convolution) support, primarily for Apple's Metal API, enhancing neural network operation efficiency on macOS and iOS devices. This optimization also extends to various other platforms including CPU, Vulkan, ROCm, OpenVINO, SYCL, CUDA, and HIP, with new performance and F16 test cases added.

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llama.cpp Adds CUDA 13 and ROCm 7.2 Support for Enhanced LLM Inference

PRIMARYllama.cpp Releases · RSS · 1w ago

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llama.cpp Adds Depthwise Convolution Support for Metal and Diverse Platforms

llama.cpp Releases · RSS · 1w ago

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Related Signals

1w agoLaunchllama.cpp Updates DeepseekV4 Cache Handling and Expands Hardware Support→7d agoLaunchllama.cpp Adds Q2_0 Quantization Support Across Diverse Platforms→4d agoLaunchllama.cpp Adds SYCL Support, Expanding LLM Inference to Diverse Hardware→5d agoSignalllama.cpp Releases CUDA 13.3 and Multi-Platform Optimizations→1w agoLaunchllama.cpp Server Improves Tools and Removes apply_diff Functionality→

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Updated 1w ago · 2 sources

llama.cpp Adds Depthwise Convolution Support for Metal and Diverse Platforms

The update introduces CONV_2D_DW (depthwise 2D convolution) support, primarily for Apple's Metal API, enhancing neural network operation efficiency on macOS and iOS devices. This optimization also extends to various other platforms including CPU, Vulkan, ROCm, OpenVINO, SYCL, CUDA, and HIP, with new performance and F16 test cases added.

View Repo→