ggml_dense: Create a Dense Layer Object
In ggmlR: 'GGML' Tensor Operations for Machine Learning

ggml_dense

R Documentation

Create a Dense Layer Object

Description

Returns a reusable layer object for use with ggml_apply(). Applying the same object to multiple tensor nodes shares weights.

Usage

ggml_dense(units, activation = NULL, name = NULL, trainable = TRUE)

Arguments

`units`	Number of output units.
`activation`	Activation function name or NULL.
`name`	Optional character name.
`trainable`	Logical; whether weights are updated during training.

Value

A ggml_layer object.

Examples


encoder <- ggml_dense(64L, activation = "relu")
x1 <- ggml_input(shape = 32L)
x2 <- ggml_input(shape = 32L)
out1 <- x1 |> ggml_apply(encoder)
out2 <- x2 |> ggml_apply(encoder)  # shared weights

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