Team Ai
Apppublic

KBaba7/llama.cpp

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
0likes
ggml-alloc.h77 linesDownload Raw Back to include
1#pragma once2 3#include "ggml.h"4 5#ifdef  __cplusplus6extern "C" {7#endif8 9typedef struct ggml_backend_buffer_type * ggml_backend_buffer_type_t;10typedef struct      ggml_backend_buffer * ggml_backend_buffer_t;11typedef struct             ggml_backend * ggml_backend_t;12 13// Tensor allocator14struct ggml_tallocr {15    ggml_backend_buffer_t buffer;16    void * base;17    size_t alignment;18    size_t offset;19};20 21GGML_API struct ggml_tallocr ggml_tallocr_new(ggml_backend_buffer_t buffer);22GGML_API void                ggml_tallocr_alloc(struct ggml_tallocr * talloc, struct ggml_tensor * tensor);23 24// Graph allocator25/*26  Example usage:27    ggml_gallocr_t galloc = ggml_gallocr_new(ggml_backend_cpu_buffer_type());28 29    // optional: create a worst-case graph and reserve the buffers to avoid reallocations30    ggml_gallocr_reserve(galloc, build_graph(max_batch));31 32    // allocate the graph33    struct ggml_cgraph * graph = build_graph(batch);34    ggml_gallocr_alloc_graph(galloc, graph);35 36    printf("compute buffer size: %zu bytes\n", ggml_gallocr_get_buffer_size(galloc, 0));37 38    // evaluate the graph39    ggml_backend_graph_compute(backend, graph);40*/41 42// special tensor flags for use with the graph allocator:43//   ggml_set_input(): all input tensors are allocated at the beginning of the graph in non-overlapping addresses44//   ggml_set_output(): output tensors are never freed and never overwritten45 46typedef struct ggml_gallocr * ggml_gallocr_t;47 48GGML_API ggml_gallocr_t ggml_gallocr_new(ggml_backend_buffer_type_t buft);49GGML_API ggml_gallocr_t ggml_gallocr_new_n(ggml_backend_buffer_type_t * bufts, int n_bufs);50GGML_API void           ggml_gallocr_free(ggml_gallocr_t galloc);51 52// pre-allocate buffers from a measure graph - does not allocate or modify the graph53// call with a worst-case graph to avoid buffer reallocations54// not strictly required for single buffer usage: ggml_gallocr_alloc_graph will reallocate the buffers automatically if needed55// returns false if the buffer allocation failed56GGML_API bool ggml_gallocr_reserve(ggml_gallocr_t galloc, struct ggml_cgraph * graph);57GGML_API bool ggml_gallocr_reserve_n(58    ggml_gallocr_t galloc,59    struct ggml_cgraph * graph,60    const int * node_buffer_ids,61    const int * leaf_buffer_ids);62 63// automatic reallocation if the topology changes when using a single buffer64// returns false if using multiple buffers and a re-allocation is needed (call ggml_gallocr_reserve_n first to set the node buffers)65GGML_API bool ggml_gallocr_alloc_graph(ggml_gallocr_t galloc, struct ggml_cgraph * graph);66 67GGML_API size_t ggml_gallocr_get_buffer_size(ggml_gallocr_t galloc, int buffer_id);68 69// Utils70// Create a buffer and allocate all the tensors in a ggml_context71GGML_API struct ggml_backend_buffer * ggml_backend_alloc_ctx_tensors_from_buft(struct ggml_context * ctx, ggml_backend_buffer_type_t buft);72GGML_API struct ggml_backend_buffer * ggml_backend_alloc_ctx_tensors(struct ggml_context * ctx, ggml_backend_t backend);73 74#ifdef  __cplusplus75}76#endif77