ggml_l2_norm: L2 Normalization (Graph)

In ggmlR: 'GGML' Tensor Operations for Machine Learning

L2 Normalization (Graph)

Description

Creates a graph node for L2 normalization (unit norm). Normalizes vectors to unit length: x / ||x||_2. Used in RWKV v7 and embedding normalization.

Usage

ggml_l2_norm(ctx, a, eps = 1e-05)

Arguments

ctx	GGML context
a	Input tensor
eps	Epsilon for numerical stability (default 1e-5)

Value

Tensor representing the L2 norm operation

Examples

ctx <- ggml_init(16 * 1024 * 1024)
a <- ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 4)
ggml_set_f32(a, c(3, 0, 0, 4))  # Length = 5
result <- ggml_l2_norm(ctx, a)
graph <- ggml_build_forward_expand(ctx, result)
ggml_graph_compute(ctx, graph)
output <- ggml_get_f32(result)  # [0.6, 0, 0, 0.8] unit vector
ggml_free(ctx)

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