ggmlR (version 0.6.1)

ggml_add: Add tensors

Description

Creates a graph node for element-wise addition. Must be computed using ggml_build_forward_expand() and ggml_graph_compute().

Usage

ggml_add(ctx, a, b)
ggml_add(ctx, a, b)

Value

Tensor representing the addition operation

Tensor representing the addition operation

Arguments

ctx

GGML context

a

First tensor

b

Second tensor (same shape as a)

Examples

# \donttest{
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_get_f32(result)
ggml_free(ctx)
# }
# \donttest{
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_get_f32(result)
ggml_free(ctx)
# }