llama.cpp/examples/llava/CMakeLists.txt

set(TARGET clip)
add_library(${TARGET} clip.cpp clip.h)
install(TARGETS ${TARGET} LIBRARY)
target_link_libraries(${TARGET} PRIVATE common ggml ${CMAKE_THREAD_LIBS_INIT})
target_compile_features(${TARGET} PRIVATE cxx_std_11)
if (NOT MSVC)
    target_compile_options(${TARGET} PRIVATE -Wno-cast-qual) # stb_image.h
endif()

set(TARGET llava)
add_executable(${TARGET} llava.cpp)
install(TARGETS ${TARGET} RUNTIME)
target_link_libraries(${TARGET} PRIVATE common llama clip ${CMAKE_THREAD_LIBS_INIT})
target_compile_features(${TARGET} PRIVATE cxx_std_11)
examples: support LLaVA v1.5 (multimodal model) (#3436) * WIP: start implementing LLaVA * rm scratch buf for now, will revert after cleanup * LLaVA image encoder is working. will combine with llama * Add llava inference code, but it's buggy. debugging * LLaVA is working e2e, needs to optimize memory allocation + cleanup * Use ggml_allocr + rm unnecessary code * fix: crlf -> lf * fix: new line at EoF * fix: trailing whitespace * Add readme * Update readme * Some cleanup * Are you happy editorconfig? * rm unused batch image preprocessing * rm unused import * fix: rm designated initializers * introduce pad-to-square mode for non-square images * are you happy editorconfig? * gitignore /llava * Handle cases where image file does not exist * add llava target to Makefile * add support for 13b model variant * Maybe seed is unlucky? * Check if apples are compared to apples * are you happy editorconfig? * Use temperature = 0.1 by default * command line: use gpt_params_parse() * minor * handle default n_predict * fix typo * llava : code formatting, rename files, fix compile warnings * do not use Wno-cast-qual for MSVC --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> 2023-10-12 15:23:18 +00:00			`set(TARGET clip)`
			`add_library(${TARGET} clip.cpp clip.h)`
			`install(TARGETS ${TARGET} LIBRARY)`
server : parallel decoding and multimodal (#3677) * implementing parallel decoding in server example * crash fixed * save dev progress * refactored sampling function * completion endpoint working * multiple client support * grammar + no stream completion * cached prompt support * chat.mjs support cached prompt + some fixes * server ui now support multiple clients * unused change reverted * fixed timings per slot * add context swap * add changes to README.md * llava multimodal integration * fixed tokens probs * add multimodal input - alfa * refactor code + remove unused comments + improved README.md * fix compilation errors with llvm * notify the user from server ui that multimodality is unavialable * some ci fixes * fix ci make build undefined ref errors * fix long prompt than ctx proposed in #3639 * fixed premature end due stop word * context shift fixed * fix llava implementation * sync README.md changes * readme change * update api like OpenAI * multimodal support enabled by default * fix make bui;d errors * fix multiple clients * fix zig build * new sampling API * latest changes of sampling API * server : coding-style normalization * server : coding-style normalization (part 2) * server : remove beam-search functionality * server : bug fix in ingest_images n_tokens is incremented internally by llama_batch_add * server : use refs + use llama_batch_clear() * server : snake case * server : minor sync * added thread safe pipeline * server : bach has to be allocated for n_parallel sequences * server : no need for atomic int - already using mutex * server : logs + minor code style * server : fix multibyte handle in partial response (#3706) * fix image load + view image in chat * make : silence stb warnings * clip : link to ggml, not to llama * server : fix switch fallthrough * server : fix crash in Debug on macOS (I have no idea why this fixes it!?) * server : refactor ctx_sampling init + n_ctx + names * server : bug fix for prompt caching * Do not save/load image_data to localStorage * editorconfig : new line in index.html * server : completion requests remember slot_id * Update readme to document multimodal in server * server : minor style * Update readme to document multimodal in server * server : hide ctx_sampling->prev behind API (#3696) * server : apply fix from #3722 * server : fix slot reuse * server : add comment about changing slot_state to bool --------- Co-authored-by: FSSRepo <go778sgt@gmail.com> Co-authored-by: Damian Stewart <d@damianstewart.com> Co-authored-by: Steward Garcia <57494570+FSSRepo@users.noreply.github.com> Co-authored-by: Jhen-Jie Hong <iainst0409@gmail.com> Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com> 2023-10-22 19:53:08 +00:00			`target_link_libraries(${TARGET} PRIVATE common ggml ${CMAKE_THREAD_LIBS_INIT})`
examples: support LLaVA v1.5 (multimodal model) (#3436) * WIP: start implementing LLaVA * rm scratch buf for now, will revert after cleanup * LLaVA image encoder is working. will combine with llama * Add llava inference code, but it's buggy. debugging * LLaVA is working e2e, needs to optimize memory allocation + cleanup * Use ggml_allocr + rm unnecessary code * fix: crlf -> lf * fix: new line at EoF * fix: trailing whitespace * Add readme * Update readme * Some cleanup * Are you happy editorconfig? * rm unused batch image preprocessing * rm unused import * fix: rm designated initializers * introduce pad-to-square mode for non-square images * are you happy editorconfig? * gitignore /llava * Handle cases where image file does not exist * add llava target to Makefile * add support for 13b model variant * Maybe seed is unlucky? * Check if apples are compared to apples * are you happy editorconfig? * Use temperature = 0.1 by default * command line: use gpt_params_parse() * minor * handle default n_predict * fix typo * llava : code formatting, rename files, fix compile warnings * do not use Wno-cast-qual for MSVC --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> 2023-10-12 15:23:18 +00:00			`target_compile_features(${TARGET} PRIVATE cxx_std_11)`
			`if (NOT MSVC)`
			`target_compile_options(${TARGET} PRIVATE -Wno-cast-qual) # stb_image.h`
			`endif()`

			`set(TARGET llava)`
			`add_executable(${TARGET} llava.cpp)`
			`install(TARGETS ${TARGET} RUNTIME)`
			`target_link_libraries(${TARGET} PRIVATE common llama clip ${CMAKE_THREAD_LIBS_INIT})`
			`target_compile_features(${TARGET} PRIVATE cxx_std_11)`