ggml_layer_conv_1d: Add 1D Convolution Layer

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Add 1D Convolution Layer

Description

Add 1D Convolution Layer

Usage

ggml_layer_conv_1d(
  model,
  filters,
  kernel_size,
  activation = NULL,
  input_shape = NULL,
  strides = 1L,
  padding = "valid",
  name = NULL,
  trainable = TRUE
)

Arguments

model	A ggml_sequential_model object
filters	Number of output filters
kernel_size	Integer kernel size
activation	Activation function name: "relu", "sigmoid", "tanh", "softmax", or NULL
input_shape	Input shape c(L, C) - required for first layer only (length, channels)
strides	Integer stride (default 1)
padding	"valid" (no padding) or "same" (preserve length)
name	Optional character name for the layer.
trainable	Logical; whether the layer weights are updated during training.

Value

The model object with the conv_1d layer appended (invisibly).

Examples

model <- ggml_model_sequential() |>
  ggml_layer_conv_1d(32, 3, activation = "relu",
                     input_shape = c(100, 1))

ggmlR documentation built on Oct. 23, 2026, 1:07 a.m.