6381d4e110
* gguf : first API pass
* gguf : read header + meta data
* gguf : read tensor info
* gguf : initial model loading - not tested
* gguf : add gguf_get_tensor_name()
* gguf : do not support passing existing ggml_context to gguf_init
* gguf : simplify gguf_get_val
* gguf : gguf.c is now part of ggml.c
* gguf : read / write sample models
* gguf : add comments
* refactor : reduce code duplication and better API (#2415)
* gguf : expose the gguf_type enum through the API for now
* gguf : add array support
* gguf.py : some code style changes
* convert.py : start a new simplified implementation by removing old stuff
* convert.py : remove GGML vocab + other obsolete stuff
* GGUF : write tensor (#2426)
* WIP: Write tensor
* GGUF : Support writing tensors in Python
* refactor : rm unused import and upd todos
* fix : fix errors upd writing example
* rm example.gguf
* gitignore *.gguf
* undo formatting
* gguf : add gguf_find_key (#2438)
* gguf.cpp : find key example
* ggml.h : add gguf_find_key
* ggml.c : add gguf_find_key
* gguf : fix writing tensors
* gguf : do not hardcode tensor names to read
* gguf : write sample tensors to read
* gguf : add tokenization constants
* quick and dirty conversion example
* gguf : fix writing gguf arrays
* gguf : write tensors one by one and code reuse
* gguf : fix writing gguf arrays
* gguf : write tensors one by one
* gguf : write tensors one by one
* gguf : write tokenizer data
* gguf : upd gguf conversion script
* Update convert-llama-h5-to-gguf.py
* gguf : handle already encoded string
* ggml.h : get array str and f32
* ggml.c : get arr str and f32
* gguf.py : support any type
* Update convert-llama-h5-to-gguf.py
* gguf : fix set is not subscriptable
* gguf : update convert-llama-h5-to-gguf.py
* constants.py : add layer norm eps
* gguf.py : add layer norm eps and merges
* ggml.h : increase GGML_MAX_NAME to 64
* ggml.c : add gguf_get_arr_n
* Update convert-llama-h5-to-gguf.py
* add gptneox gguf example
* Makefile : add gptneox gguf example
* Update convert-llama-h5-to-gguf.py
* add gptneox gguf example
* Update convert-llama-h5-to-gguf.py
* Update convert-gptneox-h5-to-gguf.py
* Update convert-gptneox-h5-to-gguf.py
* Update convert-llama-h5-to-gguf.py
* gguf : support custom alignment value
* gguf : fix typo in function call
* gguf : mmap tensor data example
* fix : update convert-llama-h5-to-gguf.py
* Update convert-llama-h5-to-gguf.py
* convert-gptneox-h5-to-gguf.py : Special tokens
* gptneox-main.cpp : special tokens
* Update gptneox-main.cpp
* constants.py : special tokens
* gguf.py : accumulate kv and tensor info data + special tokens
* convert-gptneox-h5-to-gguf.py : accumulate kv and ti + special tokens
* gguf : gguf counterpart of llama-util.h
* gguf-util.h : update note
* convert-llama-h5-to-gguf.py : accumulate kv / ti + special tokens
* convert-llama-h5-to-gguf.py : special tokens
* Delete gptneox-common.cpp
* Delete gptneox-common.h
* convert-gptneox-h5-to-gguf.py : gpt2bpe tokenizer
* gptneox-main.cpp : gpt2 bpe tokenizer
* gpt2 bpe tokenizer (handles merges and unicode)
* Makefile : remove gptneox-common
* gguf.py : bytesarray for gpt2bpe tokenizer
* cmpnct_gpt2bpe.hpp : comments
* gguf.py : use custom alignment if present
* gguf : minor stuff
* Update gptneox-main.cpp
* map tensor names
* convert-gptneox-h5-to-gguf.py : map tensor names
* convert-llama-h5-to-gguf.py : map tensor names
* gptneox-main.cpp : map tensor names
* gguf : start implementing libllama in GGUF (WIP)
* gguf : start implementing libllama in GGUF (WIP)
* rm binary commited by mistake
* upd .gitignore
* gguf : calculate n_mult
* gguf : inference with 7B model working (WIP)
* gguf : rm deprecated function
* gguf : start implementing gguf_file_saver (WIP)
* gguf : start implementing gguf_file_saver (WIP)
* gguf : start implementing gguf_file_saver (WIP)
* gguf : add gguf_get_kv_type
* gguf : add gguf_get_kv_type
* gguf : write metadata in gguf_file_saver (WIP)
* gguf : write metadata in gguf_file_saver (WIP)
* gguf : write metadata in gguf_file_saver
* gguf : rm references to old file formats
* gguf : shorter name for member variable
* gguf : rm redundant method
* gguf : get rid of n_mult, read n_ff from file
* Update gguf_tensor_map.py
* Update gptneox-main.cpp
* gguf : rm references to old file magics
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : quantization is working
* gguf : roper closing of file
* gguf.py : no need to convert tensors twice
* convert-gptneox-h5-to-gguf.py : no need to convert tensors twice
* convert-llama-h5-to-gguf.py : no need to convert tensors twice
* convert-gptneox-h5-to-gguf.py : simplify nbytes
* convert-llama-h5-to-gguf.py : simplify nbytes
* gptneox-main.cpp : n_layer --> n_block
* constants.py : n_layer --> n_block
* gguf.py : n_layer --> n_block
* convert-gptneox-h5-to-gguf.py : n_layer --> n_block
* convert-llama-h5-to-gguf.py : n_layer --> n_block
* gptneox-main.cpp : n_layer --> n_block
* Update gguf_tensor_map.py
* convert-gptneox-h5-to-gguf.py : load model in parts to save memory
* convert-llama-h5-to-gguf.py : load model in parts to save memory
* convert : write more metadata for LLaMA
* convert : rm quantization version
* convert-gptneox-h5-to-gguf.py : add file_type key
* gptneox-main.cpp : add file_type key
* fix conflicts
* gguf : add todos and comments
* convert-gptneox-h5-to-gguf.py : tensor name map changes
* Create gguf_namemap.py : tensor name map changes
* Delete gguf_tensor_map.py
* gptneox-main.cpp : tensor name map changes
* convert-llama-h5-to-gguf.py : fixes
* gguf.py : dont add empty strings
* simple : minor style changes
* gguf : use UNIX line ending
* Create convert-llama-7b-pth-to-gguf.py
* llama : sync gguf-llama.cpp with latest llama.cpp (#2608)
* llama : sync gguf-llama.cpp with latest llama.cpp
* minor : indentation + assert
* llama : refactor gguf_buffer and gguf_ctx_buffer
* llama : minor
* gitignore : add gptneox-main
* llama : tokenizer fixes (#2549)
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* convert : update convert-new.py with tokenizer fixes (#2614)
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* Adapt convert-new.py (and fix a clang-cl compiler error on windows)
* llama : sync gguf-llama with llama (#2613)
* llama : sync gguf-llama with llama
* tests : fix build + warnings (test-tokenizer-1 still fails)
* tests : fix wstring_convert
* convert : fix layer names
* llama : sync gguf-llama.cpp
* convert : update HF converter to new tokenizer voodoo magics
* llama : update tokenizer style
* convert-llama-h5-to-gguf.py : add token types
* constants.py : add token types
* gguf.py : add token types
* convert-llama-7b-pth-to-gguf.py : add token types
* gguf-llama.cpp : fix n_head_kv
* convert-llama-h5-to-gguf.py : add 70b gqa support
* gguf.py : add tensor data layout
* convert-llama-h5-to-gguf.py : add tensor data layout
* convert-llama-7b-pth-to-gguf.py : add tensor data layout
* gptneox-main.cpp : add tensor data layout
* convert-llama-h5-to-gguf.py : clarify the reverse permute
* llama : refactor model loading code (#2620)
* llama : style formatting + remove helper methods
* llama : fix quantization using gguf tool
* llama : simplify gguf_file_saver
* llama : fix method names
* llama : simplify write_header()
* llama : no need to pass full file loader to the file saver
just gguf_ctx
* llama : gguf_file_saver write I32
* llama : refactor tensor names (#2622)
* gguf: update tensor names searched in quantization
* gguf : define tensor names as constants
* gguf : initial write API (not tested yet)
* gguf : write to file API (not tested)
* gguf : initial write API ready + example
* gguf : fix header write
* gguf : fixes + simplify example + add ggml_nbytes_pad()
* gguf : minor
* llama : replace gguf_file_saver with new gguf write API
* gguf : streaming support when writing files
* gguf : remove oboslete write methods
* gguf : remove obosolete gguf_get_arr_xxx API
* llama : simplify gguf_file_loader
* llama : move hparams and vocab from gguf_file_loader to llama_model_loader
* llama : merge gguf-util.h in llama.cpp
* llama : reorder definitions in .cpp to match .h
* llama : minor simplifications
* llama : refactor llama_model_loader (WIP)
wip : remove ggml_ctx from llama_model_loader
wip : merge gguf_file_loader in llama_model_loader
* llama : fix shape prints
* llama : fix Windows build + fix norm_rms_eps key
* llama : throw error on missing KV paris in model meta data
* llama : improve printing + log meta data
* llama : switch print order of meta data
---------
Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>
* gguf : deduplicate (#2629)
* gguf : better type names
* dedup : CPU + Metal is working
* ggml : fix warnings about unused results
* llama.cpp : fix line feed and compiler warning
* llama : fix strncpy warning + note token_to_str does not write null
* llama : restore the original load/save session implementation
Will migrate this to GGUF in the future
* convert-llama-h5-to-gguf.py : support alt ctx param name
* ggml : assert when using ggml_mul with non-F32 src1
* examples : dedup simple
---------
Co-authored-by: klosax <131523366+klosax@users.noreply.github.com>
* gguf.py : merge all files in gguf.py
* convert-new.py : pick #2427 for HF 70B support
* examples/gguf : no need to keep q option for quantization any more
* llama.cpp : print actual model size
* llama.cpp : use ggml_elements()
* convert-new.py : output gguf (#2635)
* convert-new.py : output gguf (WIP)
* convert-new.py : add gguf key-value pairs
* llama : add hparams.ctx_train + no longer print ftype
* convert-new.py : minor fixes
* convert-new.py : vocab-only option should work now
* llama : fix tokenizer to use llama_char_to_byte
* tests : add new ggml-vocab-llama.gguf
* convert-new.py : tensor name mapping
* convert-new.py : add map for skipping tensor serialization
* convert-new.py : convert script now works
* gguf.py : pick some of the refactoring from #2644
* convert-new.py : minor fixes
* convert.py : update to support GGUF output
* Revert "ci : disable CI temporary to not waste energy"
This reverts commit 7e82d25f40.
* convert.py : n_head_kv optional and .gguf file extension
* convert.py : better always have n_head_kv and default it to n_head
* llama : sync with recent PRs on master
* editorconfig : ignore models folder
ggml-ci
* ci : update ".bin" to ".gguf" extension
ggml-ci
* llama : fix llama_model_loader memory leak
* gptneox : move as a WIP example
* llama : fix lambda capture
ggml-ci
* ggml : fix bug in gguf_set_kv
ggml-ci
* common.h : .bin --> .gguf
* quantize-stats.cpp : .bin --> .gguf
* convert.py : fix HF tensor permuting / unpacking
ggml-ci
* llama.cpp : typo
* llama : throw error if gguf fails to init from file
ggml-ci
* llama : fix tensor name grepping during quantization
ggml-ci
* gguf.py : write tensors in a single pass (#2644)
* gguf : single pass for writing tensors + refactoring writer
* gguf : single pass for writing tensors + refactoring writer
* gguf : single pass for writing tensors + refactoring writer
* gguf : style fixes in simple conversion script
* gguf : refactor gptneox conversion script
* gguf : rename h5 to hf (for HuggingFace)
* gguf : refactor pth to gguf conversion script
* gguf : rm file_type key and method
* gguf.py : fix vertical alignment
* gguf.py : indentation
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* convert-gptneox-hf-to-gguf.py : fixes
* gguf.py : gptneox mapping
* convert-llama-hf-to-gguf.py : fixes
* convert-llama-7b-pth-to-gguf.py : fixes
* ggml.h : reverse GGUF_MAGIC
* gguf.py : reverse GGUF_MAGIC
* test-tokenizer-0.cpp : fix warning
* llama.cpp : print kv general.name
* llama.cpp : get special token kv and linefeed token id
* llama : print number of tensors per type + print arch + style
* tests : update vocab file with new magic
* editorconfig : fix whitespaces
* llama : re-order functions
* llama : remove C++ API + reorganize common source in /common dir
* llama : minor API updates
* llama : avoid hardcoded special tokens
* llama : fix MPI build
ggml-ci
* llama : introduce enum llama_vocab_type + remove hardcoded string constants
* convert-falcon-hf-to-gguf.py : falcon HF --> gguf conversion, not tested
* falcon-main.cpp : falcon inference example
* convert-falcon-hf-to-gguf.py : remove extra kv
* convert-gptneox-hf-to-gguf.py : remove extra kv
* convert-llama-7b-pth-to-gguf.py : remove extra kv
* convert-llama-hf-to-gguf.py : remove extra kv
* gguf.py : fix for falcon 40b
* falcon-main.cpp : fix for falcon 40b
* convert-falcon-hf-to-gguf.py : update ref
* convert-falcon-hf-to-gguf.py : add tensor data layout
* cmpnct_gpt2bpe.hpp : fixes
* falcon-main.cpp : fixes
* gptneox-main.cpp : fixes
* cmpnct_gpt2bpe.hpp : remove non-general stuff
* Update examples/server/README.md
Co-authored-by: slaren <slarengh@gmail.com>
* cmpnct_gpt2bpe.hpp : cleanup
* convert-llama-hf-to-gguf.py : special tokens
* convert-llama-7b-pth-to-gguf.py : special tokens
* convert-permute-debug.py : permute debug print
* convert-permute-debug-master.py : permute debug for master
* convert-permute-debug.py : change permute type of attn_q
* convert.py : 70b model working (change attn_q permute)
* Delete convert-permute-debug-master.py
* Delete convert-permute-debug.py
* convert-llama-hf-to-gguf.py : fix attn_q permute
* gguf.py : fix rope scale kv
* convert-llama-hf-to-gguf.py : rope scale and added tokens
* convert-llama-7b-pth-to-gguf.py : rope scale and added tokens
* llama.cpp : use rope scale kv
* convert-llama-7b-pth-to-gguf.py : rope scale fix
* convert-llama-hf-to-gguf.py : rope scale fix
* py : fix whitespace
* gguf : add Python script to convert GGMLv3 LLaMA models to GGUF (#2682)
* First pass at converting GGMLv3 LLaMA models to GGUF
* Cleanups, better output during conversion
* Fix vocab space conversion logic
* More vocab conversion fixes
* Add description to converted GGUF files
* Improve help text, expand warning
* Allow specifying name and description for output GGUF
* Allow overriding vocab and hyperparams from original model metadata
* Use correct params override var name
* Fix wrong type size for Q8_K
Better handling of original style metadata
* Set default value for gguf add_tensor raw_shape KW arg
* llama : improve token type support (#2668)
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* Adapt convert-new.py (and fix a clang-cl compiler error on windows)
* Improved tokenizer test
But does it work on MacOS?
* Improve token type support
- Added @klosax code to convert.py
- Improved token type support in vocabulary
* Exclude platform dependent tests
* More sentencepiece compatibility by eliminating magic numbers
* Restored accidentally removed comment
* llama : add API for token type
ggml-ci
* tests : use new tokenizer type API (#2692)
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* Adapt convert-new.py (and fix a clang-cl compiler error on windows)
* Improved tokenizer test
But does it work on MacOS?
* Improve token type support
- Added @klosax code to convert.py
- Improved token type support in vocabulary
* Exclude platform dependent tests
* More sentencepiece compatibility by eliminating magic numbers
* Restored accidentally removed comment
* Improve commentary
* Use token type API in test-tokenizer-1.cpp
* py : cosmetics
* readme : add notice about new file format
ggml-ci
---------
Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>
Co-authored-by: klosax <131523366+klosax@users.noreply.github.com>
Co-authored-by: goerch <jhr.walter@t-online.de>
Co-authored-by: slaren <slarengh@gmail.com>
Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
447 lines
14 KiB
Makefile
447 lines
14 KiB
Makefile
# Define the default target now so that it is always the first target
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BUILD_TARGETS = main quantize quantize-stats perplexity embedding vdot train-text-from-scratch convert-llama2c-to-ggml simple server embd-input-test gguf llama-bench
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# Binaries only useful for tests
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TEST_TARGETS = tests/test-llama-grammar tests/test-grammar-parser tests/test-double-float tests/test-grad0 tests/test-opt tests/test-quantize-fns tests/test-quantize-perf tests/test-sampling tests/test-tokenizer-0
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default: $(BUILD_TARGETS)
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ifndef UNAME_S
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UNAME_S := $(shell uname -s)
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endif
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ifndef UNAME_P
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UNAME_P := $(shell uname -p)
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endif
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ifndef UNAME_M
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UNAME_M := $(shell uname -m)
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endif
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CCV := $(shell $(CC) --version | head -n 1)
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CXXV := $(shell $(CXX) --version | head -n 1)
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# Mac OS + Arm can report x86_64
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# ref: https://github.com/ggerganov/whisper.cpp/issues/66#issuecomment-1282546789
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ifeq ($(UNAME_S),Darwin)
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ifneq ($(UNAME_P),arm)
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SYSCTL_M := $(shell sysctl -n hw.optional.arm64 2>/dev/null)
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ifeq ($(SYSCTL_M),1)
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# UNAME_P := arm
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# UNAME_M := arm64
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warn := $(warning Your arch is announced as x86_64, but it seems to actually be ARM64. Not fixing that can lead to bad performance. For more info see: https://github.com/ggerganov/whisper.cpp/issues/66\#issuecomment-1282546789)
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endif
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endif
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endif
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#
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# Compile flags
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#
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# keep standard at C11 and C++11
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# -Ofast tends to produce faster code, but may not be available for some compilers.
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ifdef LLAMA_FAST
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OPT = -Ofast
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else
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OPT = -O3
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endif
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CFLAGS = -I. $(OPT) -std=c11 -fPIC
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CXXFLAGS = -I. -I./common $(OPT) -std=c++11 -fPIC
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LDFLAGS =
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ifdef LLAMA_DEBUG
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CFLAGS += -O0 -g
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CXXFLAGS += -O0 -g
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LDFLAGS += -g
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else
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CFLAGS += -DNDEBUG
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CXXFLAGS += -DNDEBUG
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endif
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ifdef LLAMA_SERVER_VERBOSE
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CXXFLAGS += -DSERVER_VERBOSE=$(LLAMA_SERVER_VERBOSE)
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endif
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# warnings
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CFLAGS += -Wall -Wextra -Wpedantic -Wcast-qual -Wdouble-promotion -Wshadow -Wstrict-prototypes -Wpointer-arith \
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-Wmissing-prototypes
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CXXFLAGS += -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wno-multichar
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# OS specific
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# TODO: support Windows
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ifeq ($(UNAME_S),Linux)
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CFLAGS += -pthread
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CXXFLAGS += -pthread
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endif
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ifeq ($(UNAME_S),Darwin)
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CFLAGS += -pthread
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CXXFLAGS += -pthread
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endif
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ifeq ($(UNAME_S),FreeBSD)
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CFLAGS += -pthread
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CXXFLAGS += -pthread
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endif
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ifeq ($(UNAME_S),NetBSD)
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CFLAGS += -pthread
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CXXFLAGS += -pthread
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endif
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ifeq ($(UNAME_S),OpenBSD)
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CFLAGS += -pthread
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CXXFLAGS += -pthread
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endif
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ifeq ($(UNAME_S),Haiku)
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CFLAGS += -pthread
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CXXFLAGS += -pthread
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endif
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# detect Windows
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ifneq ($(findstring _NT,$(UNAME_S)),)
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_WIN32 := 1
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endif
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# library name prefix
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ifneq ($(_WIN32),1)
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LIB_PRE := lib
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endif
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# Dynamic Shared Object extension
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ifneq ($(_WIN32),1)
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DSO_EXT := .so
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else
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DSO_EXT := .dll
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endif
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# Windows Sockets 2 (Winsock) for network-capable apps
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ifeq ($(_WIN32),1)
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LWINSOCK2 := -lws2_32
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endif
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ifdef LLAMA_GPROF
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CFLAGS += -pg
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CXXFLAGS += -pg
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endif
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ifdef LLAMA_PERF
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CFLAGS += -DGGML_PERF
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CXXFLAGS += -DGGML_PERF
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endif
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# Architecture specific
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# TODO: probably these flags need to be tweaked on some architectures
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# feel free to update the Makefile for your architecture and send a pull request or issue
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ifeq ($(UNAME_M),$(filter $(UNAME_M),x86_64 i686 amd64))
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# Use all CPU extensions that are available:
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CFLAGS += -march=native -mtune=native
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CXXFLAGS += -march=native -mtune=native
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# Usage AVX-only
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#CFLAGS += -mfma -mf16c -mavx
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#CXXFLAGS += -mfma -mf16c -mavx
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# Usage SSSE3-only (Not is SSE3!)
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#CFLAGS += -mssse3
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#CXXFLAGS += -mssse3
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endif
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ifneq ($(filter aarch64%,$(UNAME_M)),)
|
|
# Apple M1, M2, etc.
|
|
# Raspberry Pi 3, 4, Zero 2 (64-bit)
|
|
CFLAGS += -mcpu=native
|
|
CXXFLAGS += -mcpu=native
|
|
endif
|
|
|
|
ifneq ($(filter armv6%,$(UNAME_M)),)
|
|
# Raspberry Pi 1, Zero
|
|
CFLAGS += -mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access
|
|
endif
|
|
|
|
ifneq ($(filter armv7%,$(UNAME_M)),)
|
|
# Raspberry Pi 2
|
|
CFLAGS += -mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access -funsafe-math-optimizations
|
|
endif
|
|
|
|
ifneq ($(filter armv8%,$(UNAME_M)),)
|
|
# Raspberry Pi 3, 4, Zero 2 (32-bit)
|
|
CFLAGS += -mfp16-format=ieee -mno-unaligned-access
|
|
endif
|
|
|
|
ifneq ($(filter ppc64%,$(UNAME_M)),)
|
|
POWER9_M := $(shell grep "POWER9" /proc/cpuinfo)
|
|
ifneq (,$(findstring POWER9,$(POWER9_M)))
|
|
CFLAGS += -mcpu=power9
|
|
CXXFLAGS += -mcpu=power9
|
|
endif
|
|
# Require c++23's std::byteswap for big-endian support.
|
|
ifeq ($(UNAME_M),ppc64)
|
|
CXXFLAGS += -std=c++23 -DGGML_BIG_ENDIAN
|
|
endif
|
|
endif
|
|
|
|
ifndef LLAMA_NO_K_QUANTS
|
|
CFLAGS += -DGGML_USE_K_QUANTS
|
|
CXXFLAGS += -DGGML_USE_K_QUANTS
|
|
OBJS += k_quants.o
|
|
ifdef LLAMA_QKK_64
|
|
CFLAGS += -DGGML_QKK_64
|
|
CXXFLAGS += -DGGML_QKK_64
|
|
endif
|
|
endif
|
|
|
|
ifndef LLAMA_NO_ACCELERATE
|
|
# Mac M1 - include Accelerate framework.
|
|
# `-framework Accelerate` works on Mac Intel as well, with negliable performance boost (as of the predict time).
|
|
ifeq ($(UNAME_S),Darwin)
|
|
CFLAGS += -DGGML_USE_ACCELERATE
|
|
LDFLAGS += -framework Accelerate
|
|
endif
|
|
endif # LLAMA_NO_ACCELERATE
|
|
|
|
ifdef LLAMA_MPI
|
|
CFLAGS += -DGGML_USE_MPI -Wno-cast-qual
|
|
CXXFLAGS += -DGGML_USE_MPI -Wno-cast-qual
|
|
OBJS += ggml-mpi.o
|
|
endif # LLAMA_MPI
|
|
|
|
ifdef LLAMA_OPENBLAS
|
|
CFLAGS += -DGGML_USE_OPENBLAS $(shell pkg-config --cflags openblas)
|
|
LDFLAGS += $(shell pkg-config --libs openblas)
|
|
endif # LLAMA_OPENBLAS
|
|
|
|
ifdef LLAMA_BLIS
|
|
CFLAGS += -DGGML_USE_OPENBLAS -I/usr/local/include/blis -I/usr/include/blis
|
|
LDFLAGS += -lblis -L/usr/local/lib
|
|
endif # LLAMA_BLIS
|
|
|
|
ifdef LLAMA_CUBLAS
|
|
CFLAGS += -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/x86_64-linux/include
|
|
CXXFLAGS += -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/x86_64-linux/include
|
|
LDFLAGS += -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L/usr/local/cuda/lib64 -L/opt/cuda/lib64 -L$(CUDA_PATH)/targets/x86_64-linux/lib
|
|
OBJS += ggml-cuda.o
|
|
NVCCFLAGS = --forward-unknown-to-host-compiler -use_fast_math
|
|
ifdef LLAMA_CUDA_NVCC
|
|
NVCC = $(LLAMA_CUDA_NVCC)
|
|
else
|
|
NVCC = nvcc
|
|
endif #LLAMA_CUDA_NVCC
|
|
ifdef CUDA_DOCKER_ARCH
|
|
NVCCFLAGS += -Wno-deprecated-gpu-targets -arch=$(CUDA_DOCKER_ARCH)
|
|
else
|
|
NVCCFLAGS += -arch=native
|
|
endif # CUDA_DOCKER_ARCH
|
|
ifdef LLAMA_CUDA_FORCE_DMMV
|
|
NVCCFLAGS += -DGGML_CUDA_FORCE_DMMV
|
|
endif # LLAMA_CUDA_FORCE_DMMV
|
|
ifdef LLAMA_CUDA_DMMV_X
|
|
NVCCFLAGS += -DGGML_CUDA_DMMV_X=$(LLAMA_CUDA_DMMV_X)
|
|
else
|
|
NVCCFLAGS += -DGGML_CUDA_DMMV_X=32
|
|
endif # LLAMA_CUDA_DMMV_X
|
|
ifdef LLAMA_CUDA_MMV_Y
|
|
NVCCFLAGS += -DGGML_CUDA_MMV_Y=$(LLAMA_CUDA_MMV_Y)
|
|
else ifdef LLAMA_CUDA_DMMV_Y
|
|
NVCCFLAGS += -DGGML_CUDA_MMV_Y=$(LLAMA_CUDA_DMMV_Y) # for backwards compatibility
|
|
else
|
|
NVCCFLAGS += -DGGML_CUDA_MMV_Y=1
|
|
endif # LLAMA_CUDA_MMV_Y
|
|
ifdef LLAMA_CUDA_F16
|
|
NVCCFLAGS += -DGGML_CUDA_F16
|
|
endif # LLAMA_CUDA_F16
|
|
ifdef LLAMA_CUDA_DMMV_F16
|
|
NVCCFLAGS += -DGGML_CUDA_F16
|
|
endif # LLAMA_CUDA_DMMV_F16
|
|
ifdef LLAMA_CUDA_KQUANTS_ITER
|
|
NVCCFLAGS += -DK_QUANTS_PER_ITERATION=$(LLAMA_CUDA_KQUANTS_ITER)
|
|
else
|
|
NVCCFLAGS += -DK_QUANTS_PER_ITERATION=2
|
|
endif
|
|
#ifdef LLAMA_CUDA_CUBLAS
|
|
# NVCCFLAGS += -DGGML_CUDA_CUBLAS
|
|
#endif # LLAMA_CUDA_CUBLAS
|
|
ifdef LLAMA_CUDA_CCBIN
|
|
NVCCFLAGS += -ccbin $(LLAMA_CUDA_CCBIN)
|
|
endif
|
|
ggml-cuda.o: ggml-cuda.cu ggml-cuda.h
|
|
$(NVCC) $(NVCCFLAGS) $(subst -Ofast,-O3,$(CXXFLAGS)) -Wno-pedantic -c $< -o $@
|
|
endif # LLAMA_CUBLAS
|
|
|
|
ifdef LLAMA_CLBLAST
|
|
|
|
CFLAGS += -DGGML_USE_CLBLAST $(shell pkg-config --cflags clblast OpenCL)
|
|
CXXFLAGS += -DGGML_USE_CLBLAST $(shell pkg-config --cflags clblast OpenCL)
|
|
|
|
# Mac provides OpenCL as a framework
|
|
ifeq ($(UNAME_S),Darwin)
|
|
LDFLAGS += -lclblast -framework OpenCL
|
|
else
|
|
LDFLAGS += $(shell pkg-config --libs clblast OpenCL)
|
|
endif
|
|
OBJS += ggml-opencl.o
|
|
|
|
ggml-opencl.o: ggml-opencl.cpp ggml-opencl.h
|
|
$(CXX) $(CXXFLAGS) -c $< -o $@
|
|
endif # LLAMA_CLBLAST
|
|
|
|
ifdef LLAMA_METAL
|
|
CFLAGS += -DGGML_USE_METAL -DGGML_METAL_NDEBUG
|
|
CXXFLAGS += -DGGML_USE_METAL
|
|
LDFLAGS += -framework Foundation -framework Metal -framework MetalKit
|
|
OBJS += ggml-metal.o
|
|
endif # LLAMA_METAL
|
|
|
|
ifdef LLAMA_METAL
|
|
ggml-metal.o: ggml-metal.m ggml-metal.h
|
|
$(CC) $(CFLAGS) -c $< -o $@
|
|
endif # LLAMA_METAL
|
|
|
|
ifdef LLAMA_MPI
|
|
ggml-mpi.o: ggml-mpi.c ggml-mpi.h
|
|
$(CC) $(CFLAGS) -c $< -o $@
|
|
endif # LLAMA_MPI
|
|
|
|
ifdef LLAMA_NO_K_QUANTS
|
|
k_quants.o: k_quants.c k_quants.h
|
|
$(CC) $(CFLAGS) -c $< -o $@
|
|
endif # LLAMA_NO_K_QUANTS
|
|
|
|
#
|
|
# Print build information
|
|
#
|
|
|
|
$(info I llama.cpp build info: )
|
|
$(info I UNAME_S: $(UNAME_S))
|
|
$(info I UNAME_P: $(UNAME_P))
|
|
$(info I UNAME_M: $(UNAME_M))
|
|
$(info I CFLAGS: $(CFLAGS))
|
|
$(info I CXXFLAGS: $(CXXFLAGS))
|
|
$(info I LDFLAGS: $(LDFLAGS))
|
|
$(info I CC: $(CCV))
|
|
$(info I CXX: $(CXXV))
|
|
$(info )
|
|
|
|
#
|
|
# Build library
|
|
#
|
|
|
|
ggml.o: ggml.c ggml.h ggml-cuda.h
|
|
$(CC) $(CFLAGS) -c $< -o $@
|
|
|
|
ggml-alloc.o: ggml-alloc.c ggml.h ggml-alloc.h
|
|
$(CC) $(CFLAGS) -c $< -o $@
|
|
|
|
OBJS += ggml-alloc.o
|
|
|
|
llama.o: llama.cpp ggml.h ggml-alloc.h ggml-cuda.h ggml-metal.h llama.h
|
|
$(CXX) $(CXXFLAGS) -c $< -o $@
|
|
|
|
common.o: common/common.cpp common/common.h
|
|
$(CXX) $(CXXFLAGS) -c $< -o $@
|
|
|
|
console.o: common/console.cpp common/console.h
|
|
$(CXX) $(CXXFLAGS) -c $< -o $@
|
|
|
|
grammar-parser.o: common/grammar-parser.cpp common/grammar-parser.h
|
|
$(CXX) $(CXXFLAGS) -c $< -o $@
|
|
|
|
libllama.so: llama.o ggml.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) -shared -fPIC -o $@ $^ $(LDFLAGS)
|
|
|
|
clean:
|
|
rm -vf *.o *.so *.dll main quantize quantize-stats perplexity embedding benchmark-matmult save-load-state server simple vdot train-text-from-scratch convert-llama2c-to-ggml embd-input-test gguf llama-bench build-info.h $(TEST_TARGETS)
|
|
|
|
#
|
|
# Examples
|
|
#
|
|
|
|
main: examples/main/main.cpp build-info.h ggml.o llama.o common.o console.o grammar-parser.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
|
|
@echo
|
|
@echo '==== Run ./main -h for help. ===='
|
|
@echo
|
|
|
|
simple: examples/simple/simple.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
|
|
|
|
quantize: examples/quantize/quantize.cpp build-info.h ggml.o llama.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
|
|
|
|
quantize-stats: examples/quantize-stats/quantize-stats.cpp build-info.h ggml.o llama.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
|
|
|
|
perplexity: examples/perplexity/perplexity.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
|
|
|
|
embedding: examples/embedding/embedding.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
|
|
|
|
save-load-state: examples/save-load-state/save-load-state.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
|
|
|
|
server: examples/server/server.cpp examples/server/httplib.h examples/server/json.hpp examples/server/index.html.hpp examples/server/index.js.hpp examples/server/completion.js.hpp build-info.h ggml.o llama.o common.o grammar-parser.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) -Iexamples/server $(filter-out %.h,$(filter-out %.hpp,$^)) -o $@ $(LDFLAGS) $(LWINSOCK2)
|
|
|
|
$(LIB_PRE)embdinput$(DSO_EXT): examples/embd-input/embd-input.h examples/embd-input/embd-input-lib.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) --shared $(CXXFLAGS) $(filter-out %.h,$(filter-out %.hpp,$^)) -o $@ $(LDFLAGS)
|
|
|
|
|
|
embd-input-test: $(LIB_PRE)embdinput$(DSO_EXT) examples/embd-input/embd-input-test.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %$(DSO_EXT),$(filter-out %.h,$(filter-out %.hpp,$^))) -o $@ $(LDFLAGS) -L. -lembdinput
|
|
|
|
gguf: examples/gguf/gguf.cpp build-info.h ggml.o llama.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
|
|
|
|
train-text-from-scratch: examples/train-text-from-scratch/train-text-from-scratch.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
|
|
|
|
convert-llama2c-to-ggml: examples/convert-llama2c-to-ggml/convert-llama2c-to-ggml.cpp build-info.h ggml.o llama.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
|
|
|
|
llama-bench: examples/llama-bench/llama-bench.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
|
|
|
|
build-info.h: $(wildcard .git/index) scripts/build-info.sh
|
|
@sh scripts/build-info.sh > $@.tmp
|
|
@if ! cmp -s $@.tmp $@; then \
|
|
mv $@.tmp $@; \
|
|
else \
|
|
rm $@.tmp; \
|
|
fi
|
|
|
|
#
|
|
# Tests
|
|
#
|
|
|
|
tests: $(TEST_TARGETS)
|
|
|
|
benchmark-matmult: examples/benchmark/benchmark-matmult.cpp build-info.h ggml.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
|
|
./$@
|
|
|
|
vdot: pocs/vdot/vdot.cpp ggml.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $^ -o $@ $(LDFLAGS)
|
|
|
|
tests/test-llama-grammar: tests/test-llama-grammar.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS)
|
|
|
|
tests/test-grammar-parser: tests/test-grammar-parser.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS)
|
|
|
|
tests/test-double-float: tests/test-double-float.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS)
|
|
|
|
tests/test-grad0: tests/test-grad0.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS)
|
|
|
|
tests/test-opt: tests/test-opt.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS)
|
|
|
|
tests/test-quantize-fns: tests/test-quantize-fns.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS)
|
|
|
|
tests/test-quantize-perf: tests/test-quantize-perf.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS)
|
|
|
|
tests/test-sampling: tests/test-sampling.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS)
|
|
|
|
tests/test-tokenizer-0: tests/test-tokenizer-0.cpp build-info.h ggml.o llama.o common.o $(OBJS)
|
|
$(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS)
|