Commit Graph

170 Commits

Author SHA1 Message Date
Ivan Komarov
f266259ad9
Speedup the AVX-512 implementation of ggml_vec_dot_q4_0() (#933) 2023-04-17 15:10:57 +02:00
katsu560
106faaf297
cmake : add finding the OpenBLAS header file (#992) 2023-04-15 08:51:11 +03:00
Georgi Gerganov
9190e8eac8
llama : merge llama_internal.h into llama.h
Hide it behind an #ifdef
2023-04-13 18:04:45 +03:00
anzz1
585d91a156
cmake : add explicit F16C option (x86) (#576)
Fixes building for x86 processors missing F16C featureset
MSVC not included, as in MSVC F16C is implied with AVX2/AVX512
2023-04-13 15:48:21 +03:00
comex
f963b63afa Rewrite loading code to try to satisfy everyone:
- Support all three formats (ggml, ggmf, ggjt).  (However, I didn't
  include the hack needed to support GPT4All files without conversion.
  Those can still be used after converting them with convert.py from my
  other PR.)

- Support both mmap and read (mmap is used by default, but can be
  disabled with `--no-mmap`, and is automatically disabled for pre-ggjt
  files or on platforms where mmap is not supported).

- Support multi-file models like before, but automatically determine the
  number of parts rather than requiring `--n_parts`.

- Improve validation and error checking.

- Stop using the per-file type field (f16) entirely in favor of just
  relying on the per-tensor type/size fields.  This has no immediate
  benefit, but makes it easier to experiment with different formats, and
  should make it easier to support the new GPTQ-for-LLaMa models in the
  future (I have some work in progress on that front).

- Support VirtualLock on Windows (using the same `--mlock` option as on
  Unix).

    - Indicate loading progress when using mmap + mlock.  (Which led me
      to the interesting observation that on my Linux machine, with a
      warm file cache, mlock actually takes some time, whereas mmap
      without mlock starts almost instantly...)

      - To help implement this, move mlock support from ggml to the
        loading code.

- madvise/PrefetchVirtualMemory support (based on #740)

- Switch from ifstream to the `fopen` family of functions to avoid
  unnecessary copying and, when mmap is enabled, allow reusing the same
  file descriptor for both metadata reads and mmap (whereas the existing
  implementation opens the file a second time to mmap).

- Quantization now produces a single-file output even with multi-file
  inputs (not really a feature as much as 'it was easier this way').

Implementation notes:

I tried to factor the code into more discrete pieces than before.

Regarding code style: I tried to follow the code style, but I'm naughty
and used a few advanced C++ features repeatedly:

- Destructors to make it easier to ensure everything gets cleaned up.

- Exceptions.  I don't even usually use exceptions when writing C++, and
  I can remove them if desired... but here they make the loading code
  much more succinct while still properly handling a variety of errors,
  ranging from API calls failing to integer overflow and allocation
  failure.  The exceptions are converted to error codes at the
  API boundary.)

Co-authored-by: Pavol Rusnak <pavol@rusnak.io> (for the bit I copied from #740)
2023-04-10 01:10:46 +02:00
eiery
f2d1c47294
cmake should link openblas properly with -lopenblas like how it's done in the makefile (#839) 2023-04-08 11:15:17 +00:00
Stephan Walter
3525899277
Enable -std= for cmake builds, fix warnings (#598) 2023-03-31 19:19:16 +00:00
Stephan Walter
3bcc129ba8
cmake : properly invoke CTest (#629) 2023-03-30 20:56:59 +03:00
Georgi Gerganov
d502bc7c9d
tests : free llama context at the end of the test 2023-03-28 19:51:55 +03:00
Stephan Walter
436e561931
all : be more strict about converting float to double (#458)
* Be more strict about converting float to double

* Test equivalence of round, SILU implementations

Test module is commented out in CMakeLists.txt because the tests may
take a long time, depending on how much the compiler optimizes.

* Fix softmax in perplexity.cpp

* all : prefer float over double where appropriate

* perplexity : add <cmath>

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-03-28 19:48:20 +03:00
anzz1
2f7bf7dd7c
CMake / CI additions (#497)
* CMake: Add AVX512 option

* CI: Add AVX/AVX512 builds (Windows)
(AVX512 tests can only be run when the worker happens to support it, building works anyway)

* CMake: Fix sanitizer linkage ( merged #468 )

* CI: Add sanitizer builds (Ubuntu)

* CI: Fix release tagging
(change @zendesk/action-create-release to @anzz1/action-create-release until upstream PR Added commitish as input zendesk/action-create-release#32 is merged)
2023-03-25 23:38:11 +02:00
Georgi Gerganov
a316a425d0
Overhaul the examples structure
- main -> examples
- utils -> examples (renamed to "common")
- quantize -> examples
- separate tools for "perplexity" and "embedding"

Hope I didn't break something !
2023-03-25 20:26:40 +02:00
nusu-github
ad072fc5ad
Generate library with CMake (#430)
* Generate library with CMake

BUILD_SHARED_LIBS to allow llama library to be generated.

* Turn ON PIC when BUILD_SHARED_LIBS is ON
2023-03-23 21:16:48 +01:00
Erik Scholz
4122dffff9
cmake: make llama an actual library (#392) 2023-03-22 18:37:10 +02:00
Georgi Gerganov
f5a77a629b
Introduce C-style API (#370)
* Major refactoring - introduce C-style API

* Clean up

* Add <cassert>

* Add <iterator>

* Add <algorithm> ....

* Fix timing reporting and accumulation

* Measure eval time only for single-token calls

* Change llama_tokenize return meaning
2023-03-22 07:32:36 +02:00
Georgi Gerganov
eb34620aec
Add tokenizer test + revert to C++11 (#355)
* Add test-tokenizer-0 to do a few tokenizations - feel free to expand
* Added option to convert-pth-to-ggml.py script to dump just the vocabulary
* Added ./models/ggml-vocab.bin containing just LLaMA vocab data (used for tests)
* Added utility to load vocabulary file from previous point (temporary implementation)
* Avoid using std::string_view and drop back to C++11 (hope I didn't break something)
* Rename gpt_vocab -> llama_vocab
* All CMake binaries go into ./bin/ now
2023-03-21 17:29:41 +02:00
nusu-github
8cf9f34edd
Adding missing features of CMakeLists.txt & Refactoring (#131)
* Functionality addition CMakeLists.txt

Refactoring:
1. Simplify more options that are negation of negation.
LLAMA_NO_ACCELERATE -> LLAMA_ACCELERATE
2. Changed to an optional expression instead of forcing to enable AVX2 in MSVC.
3. Make CMAKE_CXX_STANDARD, which is different from Makefile, the same.
4. Use add_compile_options instead of adding options to CMAKE_C_FLAGS.
5. Make utils use target_link_libraries instead of directly referencing code.

Added features:
1. Added some options.
LLAMA_STATIC_LINK,LLAMA_NATIVE,LLAMA_LTO,LLAMA_GPROF,LLAMA_OPENBLAS

* Fix Accelerate link in CMake

* Windows build Fix

* C++11 to C++17

* Reflects C/C++ standard individually

* Change the version to 3.12

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-03-21 01:37:16 +01:00
mmyjona
6b0df5ccf3
add ptread link to fix cmake build under linux (#114)
* add ptread link to fix cmake build under linux

* add cmake to linux and macos platform

* separate make and cmake workflow

---------

Co-authored-by: Sebastián A <sebastian.aedo29@gmail.com>
2023-03-17 13:38:24 -03:00
Georgi Gerganov
c09a9cfb06
CMake build in Release by default (#75) 2023-03-13 21:22:15 +02:00
Sebastián A
ed6849cc07
Initial support for CMake (#75) 2023-03-13 19:12:33 +02:00