ggml_softplus: Softplus Activation (Graph)

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Softplus Activation (Graph)

Description

Creates a graph node for Softplus activation. Softplus(x) = log(1 + exp(x)). A smooth approximation of ReLU.

Usage

ggml_softplus(ctx, a)

Arguments

ctx	GGML context
a	Input tensor

Value

Tensor representing the Softplus 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_softplus(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.