ggml_layer_max_pooling_2d: Add 2D Max Pooling Layer

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Add 2D Max Pooling Layer

Description

Add 2D Max Pooling Layer

Usage

ggml_layer_max_pooling_2d(
  model,
  pool_size = c(2L, 2L),
  strides = NULL,
  name = NULL,
  trainable = TRUE
)

Arguments

model	A ggml_sequential_model object
pool_size	Integer or vector of 2 integers for pool height and width
strides	Integer or vector of 2 integers (defaults to pool_size)
name	Optional character name for the layer.
trainable	Logical; reserved for API consistency (no weights).

Value

The model object with the max pooling layer appended (invisibly).

Examples

model <- ggml_model_sequential() |>
  ggml_layer_conv_2d(32, c(3,3), activation = "relu",
                     input_shape = c(28, 28, 1)) |>
  ggml_layer_max_pooling_2d(c(2, 2))

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