ggml_backend_multi_buffer_alloc_buffer: Allocate multi-buffer

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Allocate multi-buffer

Description

Creates a buffer that combines multiple backend buffers into one. Useful for managing memory across different backends.

Usage

ggml_backend_multi_buffer_alloc_buffer(buffers)

Arguments

buffers

List of backend buffer external pointers

Value

External pointer to multi-buffer

See Also

Other backend: ggml_backend_buffer_clear(), ggml_backend_buffer_get_usage(), ggml_backend_buffer_is_host(), ggml_backend_buffer_is_multi_buffer(), ggml_backend_buffer_reset(), ggml_backend_buffer_set_usage(), ggml_backend_buffer_usage_any(), ggml_backend_buffer_usage_compute(), ggml_backend_buffer_usage_weights(), ggml_backend_dev_by_name(), ggml_backend_dev_by_type(), ggml_backend_dev_count(), ggml_backend_dev_description(), ggml_backend_dev_get(), ggml_backend_dev_get_props(), ggml_backend_dev_init(), ggml_backend_dev_memory(), ggml_backend_dev_name(), ggml_backend_dev_offload_op(), ggml_backend_dev_supports_buft(), ggml_backend_dev_supports_op(), ggml_backend_dev_type(), ggml_backend_device_register(), ggml_backend_device_type_accel(), ggml_backend_device_type_cpu(), ggml_backend_device_type_gpu(), ggml_backend_device_type_igpu(), ggml_backend_event_free(), ggml_backend_event_new(), ggml_backend_event_record(), ggml_backend_event_synchronize(), ggml_backend_event_wait(), ggml_backend_get_device(), ggml_backend_graph_compute_async(), ggml_backend_graph_plan_compute(), ggml_backend_graph_plan_create(), ggml_backend_graph_plan_free(), ggml_backend_init_best(), ggml_backend_init_by_name(), ggml_backend_init_by_type(), ggml_backend_load(), ggml_backend_load_all(), ggml_backend_meta_device(), ggml_backend_multi_buffer_set_usage(), ggml_backend_reg_by_name(), ggml_backend_reg_count(), ggml_backend_reg_dev_count(), ggml_backend_reg_dev_get(), ggml_backend_reg_get(), ggml_backend_reg_name(), ggml_backend_register(), ggml_backend_synchronize(), ggml_backend_tensor_copy_async(), ggml_backend_tensor_get_async(), ggml_backend_tensor_set_async(), ggml_backend_unload()

Examples

cpu <- ggml_backend_cpu_init()
ctx1 <- ggml_init(1024, no_alloc = TRUE)
ctx2 <- ggml_init(2048, no_alloc = TRUE)
a <- ggml_new_tensor_1d(ctx1, GGML_TYPE_F32, 10)
b <- ggml_new_tensor_1d(ctx2, GGML_TYPE_F32, 20)
buf1 <- ggml_backend_alloc_ctx_tensors(ctx1, cpu)
buf2 <- ggml_backend_alloc_ctx_tensors(ctx2, cpu)
multi <- ggml_backend_multi_buffer_alloc_buffer(list(buf1, buf2))
ggml_backend_buffer_free(multi)
ggml_backend_free(cpu)
ggml_free(ctx1)
ggml_free(ctx2)

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