ggml_backend_sched_reserve: Reserve memory for scheduler

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Reserve memory for scheduler

Description

Pre-allocates memory based on a measurement graph. This should be called before using the scheduler to compute graphs.

Usage

ggml_backend_sched_reserve(sched, graph)

Arguments

sched	Scheduler pointer
graph	Graph pointer to measure memory requirements

Value

Logical indicating success

Examples

cpu <- ggml_backend_cpu_init()
sched <- ggml_backend_sched_new(list(cpu))
ctx <- ggml_init(16 * 1024 * 1024)
a <- ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 1000)
b <- ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 1000)
c <- ggml_add(ctx, a, b)
graph <- ggml_build_forward_expand(ctx, c)
ggml_backend_sched_reserve(sched, graph)
ggml_backend_sched_free(sched)
ggml_backend_free(cpu)
ggml_free(ctx)

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