ggml_vulkan_hard_exit_available

<p>Reports whether this build of ggmlR was compiled with
<code>-DGGML_VK_HARD_EXIT</code>, which is what makes
<code>ggml_vulkan_shutdown(hard = TRUE)</code> actually call <code>_exit()</code>.</p>

Provides 'R' bindings to the 'GGML' tensor library for machine
learning, optimized for 'Vulkan' GPU acceleration with a transparent CPU
fallback. The package features a 'Keras'-like sequential API and a
'PyTorch'-style 'autograd' engine for building, training, and deploying
neural networks. Key capabilities include high-performance 5D tensor
operations, 'f16' precision, and efficient quantization. It supports
native 'ONNX' model import (50+ operators) and 'GGUF' weight loading
from the 'llama.cpp' and 'Hugging Face' ecosystems. Designed for
zero-overhead inference via dedicated weight buffering, it integrates
seamlessly as a 'parsnip' engine for 'tidymodels' and provides
first-class learners for the 'mlr3' framework.
See <https://github.com/ggml-org/ggml> for more information about the
underlying library.

Yuri Baramykov

ggml_vulkan_hard_exit_available: Is the Vulkan hard-exit path compiled in?

Description

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Details

See Also

Examples