ggml_permute: Permute Tensor Dimensions (Graph)

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Permute Tensor Dimensions (Graph)

Description

Permutes the tensor dimensions according to specified axes. CRITICAL for attention mechanisms in transformers.

Usage

ggml_permute(ctx, a, axis0, axis1, axis2, axis3)

Arguments

ctx	GGML context
a	Input tensor
axis0	New position for axis 0
axis1	New position for axis 1
axis2	New position for axis 2
axis3	New position for axis 3

Value

Permuted tensor

Examples

ctx <- ggml_init(16 * 1024 * 1024)
# Create 4D tensor: (2, 3, 4, 5)
t <- ggml_new_tensor_4d(ctx, GGML_TYPE_F32, 2, 3, 4, 5)
# Swap axes 0 and 1: result shape (3, 2, 4, 5)
t_perm <- ggml_permute(ctx, t, 1, 0, 2, 3)
ggml_free(ctx)

ggmlR documentation built on July 14, 2026, 1:08 a.m.