ggml_mul: Multiply tensors

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Multiply tensors

Description

Creates a graph node for element-wise multiplication.

Usage

ggml_mul(ctx, a, b)

ggml_mul(ctx, a, b)

Arguments

ctx	GGML context
a	First tensor
b	Second tensor (same shape as a)

Value

Tensor representing the multiplication operation

Tensor representing the multiplication operation

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(2, 2, 2, 2, 2))
result <- ggml_mul(ctx, a, b)
graph <- ggml_build_forward_expand(ctx, result)
ggml_graph_compute(ctx, graph)
ggml_get_f32(result)
ggml_free(ctx)


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(2, 2, 2, 2, 2))
result <- ggml_mul(ctx, a, b)
graph <- ggml_build_forward_expand(ctx, result)
ggml_graph_compute(ctx, graph)
ggml_get_f32(result)
ggml_free(ctx)

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