mirror of
https://github.com/ggml-org/llama.cpp.git
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3b169441df
* ggml-alloc : v3 (ggml/727) * ggml-alloc v3 ggml-ci * fix ci ggml-ci * whisper : check for backend buffer allocation failures * whisper : avoid leaks when initialization fails * cleanup ggml-ci * style fixes ggml-ci * sync : ggml * update llama.cpp, clip.cpp, export-lora.cpp * update finetune.cpp, train-text-from-scratch.cpp ggml-ci * ggml-backend : reduce alignment to 32 to match gguf and fix mmap --------- Co-authored-by: slaren <slarengh@gmail.com>
69 lines
2.9 KiB
C
69 lines
2.9 KiB
C
#pragma once
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#include "ggml.h"
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#ifdef __cplusplus
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extern "C" {
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#endif
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typedef struct ggml_backend_buffer_type * ggml_backend_buffer_type_t;
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typedef struct ggml_backend_buffer * ggml_backend_buffer_t;
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typedef struct ggml_backend * ggml_backend_t;
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// Tensor allocator
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typedef struct ggml_tallocr * ggml_tallocr_t;
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GGML_API ggml_tallocr_t ggml_tallocr_new(ggml_backend_buffer_t buffer);
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GGML_API void ggml_tallocr_free(ggml_tallocr_t talloc);
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GGML_API void ggml_tallocr_alloc(ggml_tallocr_t talloc, struct ggml_tensor * tensor);
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// Graph allocator
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/*
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Example usage:
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ggml_gallocr_t galloc = ggml_gallocr_new(ggml_bacckend_cpu_buffer_type());
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// optional: create a worst-case graph and reserve the buffers to avoid reallocations
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ggml_gallocr_reserve(galloc, build_graph(max_batch));
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// allocate the graph
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struct ggml_cgraph * graph = build_graph(batch);
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ggml_gallocr_alloc_graph(galloc, graph);
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printf("compute buffer size: %zu bytes\n", ggml_gallocr_get_buffer_size(galloc, 0));
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// evaluate the graph
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ggml_backend_graph_compute(backend, graph);
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*/
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// special tensor flags for use with the graph allocator:
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// ggml_set_input(): all input tensors are allocated at the beginning of the graph in non-overlapping addresses
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// ggml_set_output(): output tensors are never freed and never overwritten
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typedef struct ggml_gallocr * ggml_gallocr_t;
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GGML_API ggml_gallocr_t ggml_gallocr_new(ggml_backend_buffer_type_t buft);
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GGML_API ggml_gallocr_t ggml_gallocr_new_n(ggml_backend_buffer_type_t * bufts, int n_bufs);
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GGML_API void ggml_gallocr_free(ggml_gallocr_t galloc);
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// pre-allocate buffers from a measure graph - does not allocate or modify the graph
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// call with a worst-case graph to avoid buffer reallocations
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// not strictly required for single buffer usage: ggml_gallocr_alloc_graph will reallocate the buffers automatically if needed
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// returns false if the buffer allocation failed
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GGML_API bool ggml_gallocr_reserve(ggml_gallocr_t galloc, struct ggml_cgraph * graph);
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GGML_API bool ggml_gallocr_reserve_n(ggml_gallocr_t galloc, struct ggml_cgraph * graph, const int * node_buffer_ids);
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// automatic reallocation if the topology changes when using a single buffer
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// returns false if using multiple buffers and a re-allocation is needed (call ggml_gallocr_reserve_n first to set the node buffers)
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GGML_API bool ggml_gallocr_alloc_graph(ggml_gallocr_t galloc, struct ggml_cgraph * graph);
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GGML_API size_t ggml_gallocr_get_buffer_size(ggml_gallocr_t galloc, int buffer_id);
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// Utils
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// Create a buffer and allocate all the tensors in a ggml_context
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GGML_API struct ggml_backend_buffer * ggml_backend_alloc_ctx_tensors_from_buft(struct ggml_context * ctx, ggml_backend_buffer_type_t buft);
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GGML_API struct ggml_backend_buffer * ggml_backend_alloc_ctx_tensors(struct ggml_context * ctx, ggml_backend_t backend);
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#ifdef __cplusplus
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}
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#endif
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