ggml_l2_norm_inplace: L2 Normalization In-place (Graph)

In ggmlR: 'GGML' Tensor Operations for Machine Learning

L2 Normalization In-place (Graph)

Description

Creates a graph node for in-place L2 normalization.

Usage

ggml_l2_norm_inplace(ctx, a, eps = 1e-05)

Arguments

ctx	GGML context
a	Input tensor (will be modified in-place)
eps	Epsilon for numerical stability (default 1e-5)

Value

View of input tensor with L2 norm applied

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))
result <- ggml_l2_norm_inplace(ctx, a)
graph <- ggml_build_forward_expand(ctx, result)
ggml_graph_compute(ctx, graph)
ggml_free(ctx)

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