slice_first_dim

Selects rows <code>idx</code> along the first (sample) axis, keeping all other
dimensions intact, regardless of how many dimensions the array has.

internal

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

ggmlR

'GGML' Tensor Operations for Machine Learning

slice_first_dim function

<dl><dt>x</dt>
<dd>A matrix or array.</dd>
<dt>idx</dt>
<dd>Integer indices into the first dimension.</dd></dl>

Arguments

Slice an Array or Matrix Along Its First Dimension — slice_first_dim

<dl>

<dt>x</dt>
<dd>A matrix or array.</dd>


<dt>idx</dt>
<dd>Integer indices into the first dimension.</dd>

</dl>

slice_first_dim: Slice an Array or Matrix Along Its First Dimension

Description

Usage

Value

Arguments