mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-25 13:58:46 +01:00
0d4177126b
* Fix memory management in llava and server code
Fixes this error:
llama_new_context_with_model: graph splits (measure): 3
Available slots:
-> Slot 0 - max context: 6000
{"timestamp":1707926446,"level":"INFO","function":"main","line":2623,"message":"model loaded"}
all slots are idle and system prompt is empty, clear the KV cache
slot 0 - loaded image
slot 0 is processing [task id: 0]
slot 0 : kv cache rm - [0, end)
slot 0 - encoding image [id: 1]
munmap_chunk(): invalid pointer
Aborted
* Make it cleaner by checking size in batch free wrapper
86 lines
2.8 KiB
C
86 lines
2.8 KiB
C
#ifndef CLIP_H
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#define CLIP_H
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#include <stddef.h>
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#include <stdint.h>
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#ifdef LLAMA_SHARED
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# if defined(_WIN32) && !defined(__MINGW32__)
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# ifdef LLAMA_BUILD
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# define CLIP_API __declspec(dllexport)
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# else
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# define CLIP_API __declspec(dllimport)
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# endif
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# else
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# define CLIP_API __attribute__ ((visibility ("default")))
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# endif
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#else
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# define CLIP_API
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#endif
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struct clip_ctx;
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#ifdef __cplusplus
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extern "C" {
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#endif
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struct clip_ctx;
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struct clip_image_u8_batch {
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struct clip_image_u8 * data;
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size_t size;
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};
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struct clip_image_f32_batch {
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struct clip_image_f32 * data;
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size_t size;
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};
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CLIP_API struct clip_ctx * clip_model_load (const char * fname, int verbosity);
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CLIP_API struct clip_ctx * clip_model_load_cpu(const char * fname, int verbosity);
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CLIP_API void clip_free(struct clip_ctx * ctx);
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CLIP_API size_t clip_embd_nbytes(const struct clip_ctx * ctx);
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CLIP_API int32_t clip_image_size (const struct clip_ctx * ctx);
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CLIP_API int32_t clip_patch_size (const struct clip_ctx * ctx);
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CLIP_API int32_t clip_hidden_size(const struct clip_ctx * ctx);
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// TODO: should be enum, not string
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CLIP_API const char * clip_patch_merge_type(const struct clip_ctx * ctx);
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CLIP_API const int32_t * clip_image_grid(const struct clip_ctx * ctx);
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CLIP_API int clip_n_patches (const struct clip_ctx * ctx);
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CLIP_API int clip_n_mmproj_embd(const struct clip_ctx * ctx);
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CLIP_API struct clip_image_u8 * clip_image_u8_init ();
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CLIP_API struct clip_image_f32 * clip_image_f32_init();
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CLIP_API void clip_image_u8_free (struct clip_image_u8 * img);
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CLIP_API void clip_image_f32_free(struct clip_image_f32 * img);
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CLIP_API void clip_image_u8_batch_free (struct clip_image_u8_batch & batch);
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CLIP_API void clip_image_f32_batch_free(struct clip_image_f32_batch & batch);
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CLIP_API bool clip_image_load_from_file(const char * fname, struct clip_image_u8 * img);
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/** interpret bytes as an image file with length bytes_length, and use the result to populate img */
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CLIP_API bool clip_image_load_from_bytes(const unsigned char * bytes, size_t bytes_length, struct clip_image_u8 * img);
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/** preprocess img and store the result in res_imgs, pad_to_square may be overriden to false depending on model configuration */
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CLIP_API bool clip_image_preprocess(struct clip_ctx * ctx, const clip_image_u8 * img, clip_image_f32_batch & res_imgs );
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CLIP_API struct ggml_tensor * clip_get_newline_tensor(const struct clip_ctx * ctx);
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CLIP_API bool clip_image_encode (struct clip_ctx * ctx, int n_threads, struct clip_image_f32 * img, float * vec);
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CLIP_API bool clip_image_batch_encode(struct clip_ctx * ctx, int n_threads, const struct clip_image_f32_batch * imgs, float * vec);
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CLIP_API bool clip_model_quantize(const char * fname_inp, const char * fname_out, int itype);
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#ifdef __cplusplus
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}
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#endif
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#endif // CLIP_H
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