ggml_add1: Add Scalar to Tensor (Graph)

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Add Scalar to Tensor (Graph)

Description

Creates a graph node for adding a scalar (1-element tensor) to all elements of a tensor. This is more efficient than creating a full tensor of the same value.

Usage

ggml_add1(ctx, a, b)

Arguments

ctx	GGML context
a	Input tensor
b	Scalar tensor (1-element tensor)

Value

Tensor representing the operation a + b (broadcasted)

Examples

ctx <- ggml_init(1024 * 1024)
a <- ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 5)
scalar <- ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 1)
ggml_set_f32(a, c(1, 2, 3, 4, 5))
ggml_set_f32(scalar, 10)
result <- ggml_add1(ctx, a, scalar)
graph <- ggml_build_forward_expand(ctx, result)
ggml_graph_compute(ctx, graph)
ggml_get_f32(result)
ggml_free(ctx)

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