ggml_build_forward_expand: Build forward expand

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Build forward expand

Description

Builds a computation graph from the output tensor, expanding backwards to include all dependencies.

Creates a computation graph by expanding backwards from the output tensor

Usage

ggml_build_forward_expand(ctx, tensor)

ggml_build_forward_expand(ctx, tensor)

Arguments

ctx	GGML context
tensor	Output tensor of the computation

Value

Graph pointer

Graph object (external pointer)

Examples

ctx <- ggml_init(1024 * 1024)
a <- ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 5)
b <- ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 5)
ggml_set_f32(a, c(1, 2, 3, 4, 5))
ggml_set_f32(b, c(5, 4, 3, 2, 1))
result <- ggml_add(ctx, a, b)
graph <- ggml_build_forward_expand(ctx, result)
ggml_graph_compute(ctx, graph)
ggml_free(ctx)


ctx <- ggml_init(16 * 1024 * 1024)
a <- ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 10)
b <- ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 10)
ggml_set_f32(a, 1:10)
ggml_set_f32(b, 11:20)
c <- ggml_add(ctx, a, b)
graph <- ggml_build_forward_expand(ctx, c)
ggml_graph_compute(ctx, graph)
result <- ggml_get_f32(c)
ggml_free(ctx)

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