ggml_gelu_erf: Exact GELU Activation (Graph)

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Exact GELU Activation (Graph)

Description

Creates a graph node for exact GELU using the error function (erf). GELU(x) = x * 0.5 * (1 + erf(x / sqrt(2))). More accurate than approximate GELU but potentially slower on some backends.

Usage

ggml_gelu_erf(ctx, a)

Arguments

ctx	GGML context
a	Input tensor

Value

Tensor representing the exact GELU operation

Examples

ctx <- ggml_init(16 * 1024 * 1024)
a <- ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 5)
ggml_set_f32(a, c(-2, -1, 0, 1, 2))
r <- ggml_gelu_erf(ctx, a)
graph <- ggml_build_forward_expand(ctx, r)
ggml_graph_compute(ctx, graph)
result <- ggml_get_f32(r)
ggml_free(ctx)

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