ggml_dense: Create a Dense Layer Object

In ggmlR: 'GGML' Tensor Operations for Machine Learning

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,
  time_distributed = FALSE
)

Arguments

units	Number of output units.
activation	Activation function name or NULL.
name	Optional character name.
trainable	Logical; whether weights are updated during training.
time_distributed	Logical; apply the kernel independently at every position of a sequence input rather than flattening it (default FALSE). A c(seq_len, features) parent then yields c(seq_len, units) instead of a flat units, which is what a transformer's position-wise feed-forward sublayer needs. See ggml_layer_dense for details.

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 Oct. 23, 2026, 1:07 a.m.