ag_sequential: Create a sequential container of layers

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Create a sequential container of layers

Description

Chains layers so that forward(x) passes x through each layer in order. parameters() collects all trainable params from all layers. ag_train() / ag_eval() propagate mode to stateful sub-layers.

Usage

ag_sequential(...)

Arguments

...	Layer objects (ag_linear, ag_dropout, ag_batch_norm, ag_embedding) or a single list of layers.

Value

An ag_sequential environment

Examples

model <- ag_sequential(
  ag_linear(4L, 16L, activation = "relu"),
  ag_dropout(0.5),
  ag_linear(16L, 2L, activation = "softmax")
)
x   <- ag_tensor(matrix(runif(4 * 8), 4, 8))
out <- model$forward(x)

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