ggml_layer_add: Element-wise Addition of Two Tensor Nodes

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Element-wise Addition of Two Tensor Nodes

Description

Adds two (or more) tensor nodes element-wise. All tensors must have the same shape. This is the functional equivalent of a residual / skip connection.

Usage

ggml_layer_add(tensors, name = NULL)

Arguments

tensors	A list of ggml_tensor_node objects (length >= 2).
name	Optional character name for the layer.

Value

A new ggml_tensor_node representing the sum.

Examples

x    <- ggml_input(shape = 64L)
a    <- x |> ggml_layer_dense(64, activation = "relu")
b    <- x |> ggml_layer_dense(64)
out  <- ggml_layer_add(list(a, b))

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