ggml_scale: Scale (Graph)

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Scale (Graph)

Description

Creates a graph node for scaling tensor by a scalar: x * s

Usage

ggml_scale(ctx, a, s)

Arguments

ctx	GGML context
a	Input tensor
s	Scalar value to multiply by

Value

Tensor representing the scaled values

Examples

ctx <- ggml_init(16 * 1024 * 1024)
a <- ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 4)
ggml_set_f32(a, c(1, 2, 3, 4))
result <- ggml_scale(ctx, a, 2.0)
graph <- ggml_build_forward_expand(ctx, result)
ggml_graph_compute(ctx, graph)
output <- ggml_get_f32(result)  # [2, 4, 6, 8]
ggml_free(ctx)

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