ggml_add_inplace: Element-wise Addition In-place (Graph)

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Element-wise Addition In-place (Graph)

Description

Creates a graph node for in-place element-wise addition. Result is stored in tensor a, saving memory allocation. Returns a view of the modified tensor.

Usage

ggml_add_inplace(ctx, a, b)

Arguments

ctx	GGML context
a	First tensor (will be modified in-place)
b	Second tensor (same shape as a)

Value

View of tensor a with the addition result

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))
result <- ggml_add_inplace(ctx, a, b)
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.