ggml_cpu_add: Element-wise Addition (CPU Direct)

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Element-wise Addition (CPU Direct)

Description

Performs element-wise addition of two tensors using direct CPU computation. Returns the result as an R numeric vector. Does NOT use computation graphs.

Usage

ggml_cpu_add(a, b)

Arguments

a	First tensor (must be F32 type)
b	Second tensor (must be F32 type, same size as a)

Value

Numeric vector containing the element-wise sum

Examples

ctx <- ggml_init(1024 * 1024)
a <- ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 5)
b <- ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 5)
ggml_set_f32(a, c(1, 2, 3, 4, 5))
ggml_set_f32(b, c(5, 4, 3, 2, 1))
ggml_cpu_add(a, b)
ggml_free(ctx)

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