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https://github.com/ollama/ollama.git
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* add build to .dockerignore * test: only build one arch * add build to .gitignore * fix ccache path * filter amdgpu targets * only filter if autodetecting * Don't clobber gpu list for default runner This ensures the GPU specific environment variables are set properly * explicitly set CXX compiler for HIP * Update build_windows.ps1 This isn't complete, but is close. Dependencies are missing, and it only builds the "default" preset. * build: add ollama subdir * add .git to .dockerignore * docs: update development.md * update build_darwin.sh * remove unused scripts * llm: add cwd and build/lib/ollama to library paths * default DYLD_LIBRARY_PATH to LD_LIBRARY_PATH in runner on macOS * add additional cmake output vars for msvc * interim edits to make server detection logic work with dll directories like lib/ollama/cuda_v12 * remove unncessary filepath.Dir, cleanup * add hardware-specific directory to path * use absolute server path * build: linux arm * cmake install targets * remove unused files * ml: visit each library path once * build: skip cpu variants on arm * build: install cpu targets * build: fix workflow * shorter names * fix rocblas install * docs: clean up development.md * consistent build dir removal in development.md * silence -Wimplicit-function-declaration build warnings in ggml-cpu * update readme * update development readme * llm: update library lookup logic now that there is one runner (#8587) * tweak development.md * update docs * add windows cuda/rocm tests --------- Co-authored-by: jmorganca <jmorganca@gmail.com> Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
100 lines
3.6 KiB
C
Vendored
100 lines
3.6 KiB
C
Vendored
#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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#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_size {
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int width;
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int height;
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};
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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 size_t clip_embd_nbytes_by_img(const struct clip_ctx * ctx, int img_h, int img_w);
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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_patches_by_img (const struct clip_ctx * ctx, struct clip_image_f32 * img);
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CLIP_API int clip_n_mmproj_embd (const struct clip_ctx * ctx);
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CLIP_API int clip_uhd_num_image_embeds_col(struct clip_ctx * ctx_clip);
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CLIP_API void clip_add_load_image_size(struct clip_ctx * ctx_clip, struct clip_image_size * load_image_size);
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CLIP_API struct clip_image_size * clip_get_load_image_size(struct clip_ctx * ctx_clip);
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CLIP_API struct clip_image_size * clip_image_size_init();
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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 overridden to false depending on model configuration */
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CLIP_API bool clip_image_preprocess(struct clip_ctx * ctx, const struct clip_image_u8 * img, struct 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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CLIP_API int clip_is_minicpmv(const struct clip_ctx * ctx);
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CLIP_API bool clip_is_qwen2vl(const struct clip_ctx * ctx);
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CLIP_API bool clip_encode_float_image (struct clip_ctx * ctx, int n_threads, float * img, int h, int w, float * vec);
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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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