Commit Graph

1487 Commits

Author SHA1 Message Date
Johannes Gäßler
a8ab3abe09 CUDA: fix partial offloading for ne0 % 256 != 0 (llama/8572) 2024-08-08 22:48:46 +03:00
65a
fb6a835938 cmake : install all ggml public headers (llama/8480)
Co-authored-by: 65a <65a@65a.invalid>
2024-08-08 22:48:46 +03:00
hipudding
8923bb4292 Add Ascend NPU backend (llama/6035)
* [CANN] Add Ascend NPU backend

Ascend is a full-stack AI computing infrastructure for industry
applications and services based on Huawei Ascend processors and
software.

CANN (Compute Architecture of Neural Networks), developped by
Huawei, is a heterogeneous computing architecture for AI.

Co-authored-by: wangshuai09 <391746016@qq.com>

* delete trailing whitespaces

* Modify the code based on review comment

* Rename LLAMA_CANN to GGML_CANN

* Make ggml-common.h private

* add ggml_cann prefix for acl funcs

* Add logging for CANN backend

* Delete Trailing whitespace

---------

Co-authored-by: wangshuai09 <391746016@qq.com>
2024-08-08 22:48:46 +03:00
Johannes Gäßler
fcba6aa352 make/cmake: add missing force MMQ/cuBLAS for HIP (llama/8515) 2024-08-08 22:48:46 +03:00
Xuan Son Nguyen
8807fe608b Refactor lora adapter support (llama/8332)
* lora: load to devide buft

* add patch tensor function

* correct tensor patch

* llama_lora_adapter_apply

* correct ggml_backend_tensor_copy

* add llm_build_mm

* fix auto merge

* update based on review comments

* add convert script

* no more transpose A

* add f16 convert

* add metadata check

* add sanity check

* fix ftype

* add requirements

* fix requirements

* fix outfile

* conversion: only allow selected models

* fix types

* cuda : do not use dmmv if the tensor does not have enough cols

* llama : lora fixes

* do not disable mmap with lora

Co-authored-by: slaren <slarengh@gmail.com>

* llm_build_lora_mm_id

* convert_lora : MoE LoRA conversion support

* convert_lora : prefer safetensors, similarly to convert_hf

* convert_hf : simplify modify_tensors for InternLM2

* convert_lora : lazy conversion

* llama : load and use alpha from LoRA adapters

* llama : use llm_build_lora_mm in most model graphs

* auto scale

* Revert "auto scale"

This reverts commit 42415a4874e0f963e4aca6796ea5dfb97cd17464.

* remove redundant params

* Apply suggestions from code review

Co-authored-by: slaren <slarengh@gmail.com>

* change kv metadata

* move add_type to __init__

* convert_hf : move add_type to main()

* convert_lora : use the GGUFWriter from Model instead of overwriting it

---------

Co-authored-by: slaren <slarengh@gmail.com>
Co-authored-by: Francis Couture-Harpin <git@compilade.net>
2024-08-08 22:48:46 +03:00
Meng, Hengyu
3e94c7a81d add concat through dim 1/2 (llama/8483)
* add concat through dim 1/2
2024-08-08 22:48:46 +03:00
0cc4m
77af3254e1 Vulkan MMQ Fix (llama/8479)
* Fix incoherence by adding missing LOAD_VEC_A parameter

* Fix Vulkan op result checker build error
2024-08-08 22:48:46 +03:00
bandoti
d4b3cffec4 vulkan : cmake integration (llama/8119)
* Add Vulkan to CMake pkg

* Add Sycl to CMake pkg

* Add OpenMP to CMake pkg

* Split generated shader file into separate translation unit

* Add CMake target for Vulkan shaders

* Update README.md

* Add make target for Vulkan shaders

* Use pkg-config to locate vulkan library

* Add vulkan SDK dep to ubuntu-22-cmake-vulkan workflow

* Clean up tabs

* Move sudo to apt-key invocation

* Forward GGML_EXTRA_LIBS to CMake config pkg

* Update vulkan obj file paths

* Add shaderc to nix pkg

* Add python3 to Vulkan nix build

* Link against ggml in cmake pkg

* Remove Python dependency from Vulkan build

* code review changes

* Remove trailing newline

* Add cflags from pkg-config to fix w64devkit build

* Update README.md

* Remove trailing whitespace

* Update README.md

* Remove trailing whitespace

* Fix doc heading

* Make glslc required Vulkan component

* remove clblast from nix pkg
2024-08-08 22:48:46 +03:00
Georgi Gerganov
b852a4c5ca metal : template-ify some of the kernels (llama/8447)
ggml-ci
2024-08-08 22:48:46 +03:00
Georgi Gerganov
2157abaab4 ggml : minor naming changes (llama/8433)
* ggml : minor naming changes

ggml-ci

* ggml : use PRId64 [no ci]

* ggml : revert FA K/Q names
2024-08-08 22:48:46 +03:00
Chen Xi
68d609a12c fix the mul_mat_id ut issues (llama/8427)
* fix part of mul_mat_id

* skip the bfloat 16 sycl ut

Signed-off-by: Chen Xi <xi2chen@intel.com>

---------

Signed-off-by: Chen Xi <xi2chen@intel.com>
Co-authored-by: Meng, Hengyu <hengyu.meng@intel.com>
Co-authored-by: Chen Xi <xi2chen@intel.com>
2024-08-08 22:48:46 +03:00
Nicholai Tukanov
5a8ae474f0 ggml : add NVPL BLAS support (ggml/8329) (llama/8425)
* ggml : add NVPL BLAS support

* ggml : replace `<BLASLIB>_ENABLE_CBLAS` with `GGML_BLAS_USE_<BLASLIB>`

---------

Co-authored-by: ntukanov <ntukanov@nvidia.com>
2024-08-08 22:48:46 +03:00
Daniel Bevenius
84493d7f3e cuda : suppress 'noreturn' warn in no_device_code (llama/8414)
* cuda : suppress 'noreturn' warn in no_device_code

This commit adds a while(true) loop to the no_device_code function in
common.cuh. This is done to suppress the warning:

```console
/src/ggml-cuda/template-instances/../common.cuh:346:1: warning:
function declared 'noreturn' should not return [-Winvalid-noreturn]
  346 | }
      | ^
```

The motivation for this is to reduce the number of warnings when
compilng with GGML_HIPBLAS=ON.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>

* squash! cuda : suppress 'noreturn' warn in no_device_code

Update __trap macro instead of using a while loop to suppress the
warning.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>

---------

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-08-08 22:48:46 +03:00
Johannes Gäßler
15d71189e9 CUDA: optimize and refactor MMQ (llama/8416)
* CUDA: optimize and refactor MMQ

* explicit q8_1 memory layouts, add documentation
2024-08-08 22:48:46 +03:00
AidanBeltonS
37e962580f Use multi_ptr to clean up deprecated warnings (llama/8256) 2024-08-08 22:48:46 +03:00
Georgi Gerganov
db0ea7a2f2 ggml : move sgemm sources to llamafile subfolder (llama/8394)
ggml-ci
2024-08-08 22:48:46 +03:00
Dibakar Gope
5498b0e6c0 ggml : add AArch64 optimized GEMV and GEMM Q4 kernels (llama/5780)
* Arm AArch64: optimized GEMV and GEMM kernels for q4_0_q8_0, and q8_0_q8_0 quantization

* Arm AArch64: add optimized GEMV and GEMM asm kernels for q4_0_q8_0 quantization and refactor code to address llama.cpp pr#5780 suggestions

* Arm AArch64: add optimized GEMV and GEMM asm kernels for q4_0_q8_0 quantization and refactor code to address llama.cpp pr#5780 suggestions

* Arm AArch64: add optimized GEMV and GEMM asm kernels for q4_0_q8_0 quantization and refactor code to address llama.cpp pr#5780 suggestions

* Arm AArch64: add optimized GEMV and GEMM asm kernels for q4_0_q8_0 quantization and refactor code to address llama.cpp pr#5780 suggestions

* Arm AArch64: add copyright claim only to ggml-aarch64.cpp and ggml-aarch64.h files

* Arm AArch64: minor code refactoring for rebase

* Arm AArch64: minor code refactoring for resolving a build issue with cmake

* Arm AArch64: minor code refactoring to split the Q4_0_AARC64 type into three separate types: Q4_0_4_4, Q4_0_4_8, and Q4_0_8_8

* Arm AArch64: minor code change for resolving a build issue with server-windows

* retrigger checks

* Arm AArch64: minor code changes for rebase

* Arm AArch64: minor changes to skip the pr#7433 vec_dot code for arm cpus with SVE VL not equal to 256 bits

* Arm AArch64: remove stale LLAMA_QKK_64 from CMakeLists.txt and delete build.zig

* Arm AArch64: add reference scalar gemm and gemv, and avoid dynamic memory allocations during quantization for Q4_0_4_4, Q4_0_4_8, and Q4_0_8_8

* Arm AArch64: add multithreaded quantization support for the new types: Q4_0_4_4, Q4_0_4_8, and Q4_0_8_8

* Arm AArch64: minor code refactoring

* Arm AArch64: simplify logic for calling gemm and gemv functions in ggml_compute_forward_mul_mat

* Arm AArch64: minimize changes in ggml_compute_forward_mul_mat

* Arm AArch64: minor code refactoring, and add reference scalar code to quantize routines for new quant types

* Arm AArch64: minor code refactoring

* Arm AArch64: minor code refactoring

* Arm AArch64: minor code refactoring

* rebase on the latest master commit 3fd62a6 and adapt to the new directory structure

* Arm AArch64: remove a redundant comment

* Arm AArch64: add pragma in ggml-aarch64.c to turn -Woverlength-strings warning off

* Arm AArch64: use __aarch64__ check to guard 64-bit neon kernels

* Arm AArch64: update docs/build.md README to include compile time flags for buiilding the Q4_0_4_4 quant type
2024-08-08 22:48:46 +03:00
Alberto Cabrera Pérez
2af4a52c39 sycl : Reenabled mmvq path for the SYCL Nvidia Backend (llama/8372)
* SYCL : Reenabled mmvq path for the SYCL Nvidia Backend

* Reduced verbosity of comment
2024-08-08 22:48:46 +03:00
Alberto Cabrera Pérez
eee2fe882e sycl : fix powf call in device code (llama/8368) 2024-08-08 22:48:46 +03:00
Mahesh Madhav
0d1a11e5e2 ggml : loop tiling optimizations for scalar path (ggml/898)
Apply a loop tiling technique to the generic path, which provides
performance upside for ISAs with enough registers to take advantage
of it. Also helps the compiler optimize this path.
2024-08-08 22:48:46 +03:00
Ivan Filipov
b2ead7d6f4 ggml: add support for float16 input tensors in pooling operations (ggml/895)
* Add support for float16 tensors in 1d pooling operations

* Add support for float16 input tensors in 2d pooling operations

* code cleanup

remove unnecessary casting during srow ptr initialization

---------

Co-authored-by: vanaka11 <vanaka1189@gmail.com>
2024-08-08 22:48:46 +03:00
Tony Wasserka
8da6fd4dff vulkan : initialize vk_buffer_struct members to VK_NULL_HANDLE (ggml/893)
This prevents invalid frees when destroying a partially initialized
vk_buffer_struct. For example, this could happen in ggml_vk_create_buffer
when running out of device memory.

Co-authored-by: Tony Wasserka <neobrain@users.noreply.github.com>
2024-08-08 22:48:46 +03:00
Borislav Stanimirov
ab8ec9e940 cmake : only enable GGML_NATIVE and x86 flags if not crosscompiling (ggml/885) 2024-08-08 22:48:46 +03:00
Georgi Gerganov
701265bf38 scripts : sync new files (#0) 2024-08-08 22:48:46 +03:00
Daven Sanassy
fe36c90971
cmake : fix compile in xcode (#2311) 2024-08-05 09:48:26 +03:00
Georgi Gerganov
6739eb83c3
whisper : handle empty mel (#2324) 2024-07-27 20:35:04 +03:00
Matt Stephenson
f68298ce06
whisper : use vulkan as gpu backend when available (#2302)
* ggml: use vulkan as gpu backend when available

Signed-off-by: Matt Stephenson <mstephenson6@users.noreply.github.com>

* whisper: enable using vk as default buffer type

Signed-off-by: Matt Stephenson <mstephenson6@users.noreply.github.com>

---------

Signed-off-by: Matt Stephenson <mstephenson6@users.noreply.github.com>
2024-07-16 10:21:09 +03:00
arizhih
7ae885c1ef
whisper : fix DTW assert (#2299) 2024-07-15 15:50:36 +03:00
Georgi Gerganov
d207c68822
cmake : use WHISPER_EXTRA_FLAGS (#2294) 2024-07-09 18:54:18 +03:00
Borislav Stanimirov
16d72504fe cmake : allow external ggml 2024-07-09 11:38:15 +03:00
Georgi Gerganov
1c31f9d4a8
cmake : try to fix openvino build (#2281) 2024-07-08 15:36:51 +03:00
Georgi Gerganov
8ecb2f1f68 cmake : remove install of llama convert script [no ci] (#2266) 2024-07-08 14:53:55 +03:00
Georgi Gerganov
5226c3d45c make : remove llama prints [no ci] (#2265) 2024-07-08 14:53:55 +03:00
Georgi Gerganov
dbf9c15e30 talk-llama : sync llama.cpp 2024-07-08 14:53:55 +03:00
Georgi Gerganov
d3f6c34976 examples : fix compile warnings [no ci] (#0) 2024-07-08 14:53:55 +03:00
Georgi Gerganov
425e2910a3 sync : ggml 2024-07-08 14:53:55 +03:00
Georgi Gerganov
49868aa851 ggml : sync sycl (skip) (#0) 2024-07-08 14:53:55 +03:00
Georgi Gerganov
ff08e30ab5 scripts : fix sync scripts 2024-07-08 14:53:55 +03:00
Daniel Bevenius
95f2a191c0 ggml : remove unnecessary UNUSED macro call (ggml/880)
This commit removes an UNUSED macro call that is not needed as the
variable n0 is used in the code and will not produce a warning.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-07-08 14:53:55 +03:00
Natsu
00422ec3cf cmake : add GGML_BUILD and GGML_SHARED macro definitions (llama/8281) 2024-07-08 14:53:55 +03:00
Ouadie EL FAROUKI
c5b05321e9 Enabled more data types for oneMKL gemm_batch (llama/8236) 2024-07-08 14:53:55 +03:00
Johannes Gäßler
5dc636a65a CUDA: MMQ support for iq4_nl, iq4_xs (llama/8278) 2024-07-08 14:53:55 +03:00
Daniele
73703a144f CUDA: revert part of the RDNA1 optimizations (llama/8309)
The change on the launch_bounds was causing a small performance drop in perplexity of 25 t/s
2024-07-08 14:53:55 +03:00
Johannes Gäßler
e89fdceec2 CUDA: fix MMQ stream-k rounding if ne00 % 128 != 0 (llama/8311) 2024-07-08 14:53:55 +03:00
luoyu-intel
29a2739d27 Fix WARP_SIZE=16 bug of Intel GPU (llama/8266)
* fix group_norm ut

* split softmax

* fix softmax

* add concat support condition

* revert debug code

* move QK_WARP_SIZE to presets.hpp
2024-07-08 14:53:55 +03:00
Neo Zhang Jianyu
ee6d17f6b4 rm get_work_group_size() by local cache for performance (llama/8286)
Co-authored-by: arthw <14088817+arthw@users.noreply.github.com>
2024-07-08 14:53:55 +03:00
Daniele
95e90823d9 Define and optimize RDNA1 (llama/8085) 2024-07-08 14:53:55 +03:00
Judd
005cc45df3 fix typo (llama/8267)
Co-authored-by: Judd <foldl@boxvest.com>
2024-07-08 14:53:55 +03:00
Clint Herron
c2c60dc9ba Removes multiple newlines at the end of files that is breaking the editorconfig step of CI. (llama/8258) 2024-07-08 14:53:55 +03:00
slaren
4af3194b7c cuda : update supports_op for matrix multiplication (llama/8245) 2024-07-08 14:53:55 +03:00