ggml_graph_compute_with_ctx: Compute Graph with Context (Alternative Method)

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Compute Graph with Context (Alternative Method)

Description

Computes the computation graph using the context-based method. This is an alternative to ggml_graph_compute() that uses ggml_graph_plan() and ggml_graph_compute() internally.

Usage

ggml_graph_compute_with_ctx(ctx, graph, n_threads = 0L)

Arguments

ctx	GGML context
graph	Graph object created by ggml_build_forward_expand
n_threads	Number of threads to use (0 for auto-detect, default: 0)

Value

No return value, called for side effects

Examples

ctx <- ggml_init(16 * 1024 * 1024)
a <- ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 10)
ggml_set_f32(a, 1:10)
c <- ggml_relu(ctx, a)
graph <- ggml_build_forward_expand(ctx, c)
ggml_graph_compute_with_ctx(ctx, graph)
result <- ggml_get_f32(c)
ggml_free(ctx)

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