123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102 |
- /**
- * llama.cpp - commit 8962422b1c6f9b8b15f5aeaea42600bcc2d44177 - do not edit this file
- *
- * MIT License
- *
- * Copyright (c) 2023-2024 The ggml authors
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to deal
- * in the Software without restriction, including without limitation the rights
- * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
- * copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
- #pragma once
- #include "ggml.h"
- #ifdef __cplusplus
- extern "C" {
- #endif
- typedef struct ggml_backend_buffer_type * ggml_backend_buffer_type_t;
- typedef struct ggml_backend_buffer * ggml_backend_buffer_t;
- typedef struct ggml_backend * ggml_backend_t;
- // Tensor allocator
- struct ggml_tallocr {
- ggml_backend_buffer_t buffer;
- void * base;
- size_t alignment;
- size_t offset;
- };
- GGML_API struct ggml_tallocr ggml_tallocr_new(ggml_backend_buffer_t buffer);
- GGML_API void ggml_tallocr_alloc(struct ggml_tallocr * talloc, struct ggml_tensor * tensor);
- // Graph allocator
- /*
- Example usage:
- ggml_gallocr_t galloc = ggml_gallocr_new(ggml_bacckend_cpu_buffer_type());
- // optional: create a worst-case graph and reserve the buffers to avoid reallocations
- ggml_gallocr_reserve(galloc, build_graph(max_batch));
- // allocate the graph
- struct ggml_cgraph * graph = build_graph(batch);
- ggml_gallocr_alloc_graph(galloc, graph);
- printf("compute buffer size: %zu bytes\n", ggml_gallocr_get_buffer_size(galloc, 0));
- // evaluate the graph
- ggml_backend_graph_compute(backend, graph);
- */
- // special tensor flags for use with the graph allocator:
- // ggml_set_input(): all input tensors are allocated at the beginning of the graph in non-overlapping addresses
- // ggml_set_output(): output tensors are never freed and never overwritten
- typedef struct ggml_gallocr * ggml_gallocr_t;
- GGML_API ggml_gallocr_t ggml_gallocr_new(ggml_backend_buffer_type_t buft);
- GGML_API ggml_gallocr_t ggml_gallocr_new_n(ggml_backend_buffer_type_t * bufts, int n_bufs);
- GGML_API void ggml_gallocr_free(ggml_gallocr_t galloc);
- // pre-allocate buffers from a measure graph - does not allocate or modify the graph
- // call with a worst-case graph to avoid buffer reallocations
- // not strictly required for single buffer usage: ggml_gallocr_alloc_graph will reallocate the buffers automatically if needed
- // returns false if the buffer allocation failed
- GGML_API bool ggml_gallocr_reserve(ggml_gallocr_t galloc, struct ggml_cgraph * graph);
- GGML_API bool ggml_gallocr_reserve_n(
- ggml_gallocr_t galloc,
- struct ggml_cgraph * graph,
- const int * node_buffer_ids,
- const int * leaf_buffer_ids);
- // automatic reallocation if the topology changes when using a single buffer
- // returns false if using multiple buffers and a re-allocation is needed (call ggml_gallocr_reserve_n first to set the node buffers)
- GGML_API bool ggml_gallocr_alloc_graph(ggml_gallocr_t galloc, struct ggml_cgraph * graph);
- GGML_API size_t ggml_gallocr_get_buffer_size(ggml_gallocr_t galloc, int buffer_id);
- // Utils
- // Create a buffer and allocate all the tensors in a ggml_context
- GGML_API struct ggml_backend_buffer * ggml_backend_alloc_ctx_tensors_from_buft(struct ggml_context * ctx, ggml_backend_buffer_type_t buft);
- GGML_API struct ggml_backend_buffer * ggml_backend_alloc_ctx_tensors(struct ggml_context * ctx, ggml_backend_t backend);
- #ifdef __cplusplus
- }
- #endif
|