Commit Graph

524 Commits

Author SHA1 Message Date
Jeff Bolz 668306ff2b vulkan: fix coopmat2 flash attention for non-contiguous inputs (llama/11281)
Add code similar to mul_mm_cm2 to force alignment of strides, to avoid
a performance regression.

Add noncontiguous FA tests in test-backend-ops.

Fixes #11268.
2025-02-03 22:00:57 +02:00
Radoslav Gerganov fdc21fc87b rpc : early register backend devices (llama/11262)
Early register RPC devices and do not propagate RPC specifics in the
llama model structures.

ref: #10609
2025-02-03 22:00:57 +02:00
Jeff Bolz 7183a1eb72 vulkan: support copy from f32 to q4_0/q4_1/q5_0/q5_1/q8_0/iq4_nl (llama/11166)
* vulkan: support copy from f32 to q4_0/q4_1/q5_0/q5_1/q8_0/iq4_nl

Shaders are based on cpy.cu.

* vulkan: support copy from q4_0/q4_1/q5_0/q5_1/q8_0/iq4_nl to f32

* ggml: copy q->f32 assumes some contiguity in the destination
2025-02-03 22:00:57 +02:00
Jeff Bolz 09f3c66648 vulkan: optimize coopmat2 q4_k/q5_k dequant functions. (llama/11206)
Do masking on whole dwords, fetch all scales at once.
2025-02-03 22:00:57 +02:00
Jeff Bolz 62e2414620 vulkan: optimize coopmat2 q2_k dequant function (llama/11130) 2025-02-03 22:00:57 +02:00
Johannes Gäßler de49024e49 CUDA: backwards pass for misc. ops, add tests (llama/11257)
* CUDA: backwards pass for misc. ops, add tests

* remove restrict from pointers
2025-02-03 22:00:57 +02:00
fj-y-saito db6383094c ggml: aarch64: implement SVE kernels for q4_K_q8_K vector dot (llama/11227)
* Add SVE support for q4_K_q8_K

* Update ggml/src/ggml-cpu/ggml-cpu-quants.c

change to use K_SCALE_SIZE

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2025-02-03 22:00:57 +02:00
Eve 164f13c6a9 vulkan: scale caching for k quants + misc fixes (llama/11081)
* q6_k scale caching

* 16 bit unpack

* q4_k test (slow)

* revert it

* q3_k

* q2_k

* little stuff

* try precalculating products of a and q2_k scales

* Revert "try precalculating products of a and q2_k scales"

This reverts commit 65110b81f23f66331a50c6e889a7c1ab9470a86b.

* unpack should be u16, add vim swap to gitignore (about time)

* better q4_k scales

* q5_k

* better q6_k with separate paths for all threads and partial threads in use, plus some more optimizations

* q2_k better dequant

* q3_k optimizations

* q3_k use hmask simd from cpu avx version

* make the caches happy

* q3_k separate out calculation

* q2_k separate out

* little stuff

* use calc_superblock everywhere

* q2_k optimize scale calculation

* more barriers
2025-02-03 22:00:57 +02:00
Junil Kim 02aa86230a fix: ggml: fix vulkan-shaders-gen build (llama/10448)
* fix: ggml: fix vulkan-shaders-gen build

The vulkan-shaders-gen target was not being built correctly
in case of cross-compilation.
Other outputs need to be built for the cross compile target,
but vulkan-shaders-gen needs to be built for the host.

* refactor: ggml: Improve vulkan-shaders-gen toolchain setup

- Add GGML_SHADERS_GEN_TOOLCHAIN CMake option.
- Auto-detect host toolchain if not set.

* refactor: ggml: Improve vulkan-shaders-gen toolchain setup

Use configure_file to generate host_toolchain.cmake from template

* fix: ggml: Fix compile error

Fix compile error not finding vulkan-shaders-gen

* fix: vulkan-shaders-gen build and path handling

Fix build issues with vulkan-shaders-gen:
- Add target dependency for correct build order
- Use CMAKE_HOST_SYSTEM_NAME for executable suffix
- Fix MSVC output directory in host toolchain
- Normalize path handling for cross-compilation

* fix: improve host compiler detection in vulkan shader build

Improve host compiler detection for vulkan shader generation:
- Add NO_CMAKE_FIND_ROOT_PATH to all compiler searches
- Consolidate compiler detection logic
- Fix Windows-specific MSVC detection
- Ensure correct compiler search in cross-compilation

* refactor: Simplify CMake function for detecting host compiler

Simplified the CMake function to improve the process of detecting the host compiler.

* fix: Remove unnecessary Vulkan library linkage in CMakeLists.txt

Since `vulkan-shader-gen.cpp` only requires the `glslc` executable
and not the Vulkan headers or libraries, CMakeLists.txt needs to
be corrected.
(See: ecc93d0558fc3ecb8a5af69d2ece02fae4710ade)

* refactor: Rename host_toolchain.cmake.in

- Rename host_toolchain.cmake.in to cmake/host-toolchain.cmake.in

* refactor: GGML_VULKAN_SHADERS_GEN_TOOLCHAIN

Rename the macro GGML_SHADERS_GEN_TOOLCHAIN to GGML_VULKAN_SHADERS_GEN_TOOLCHAIN
2025-02-03 22:00:57 +02:00
Johannes Gäßler 54a2ee648f RoPE: fix back, CUDA support for back + noncont. (llama/11240)
* RoPE: fix back, CUDA support for back + noncont.

* fix comments reg. non-cont. RoPE support [no-ci]
2025-02-03 22:00:57 +02:00
Akarshan Biswas 9700cfb0a3 SYCL: Add gated linear attention kernel (llama/11175)
* SYCL: Add Gated Linear attention kernel

* glahpp: add a space at the end of file

* gla: Put the barrier inside the main logic loop
2025-02-03 22:00:57 +02:00
William Tambellini 8e0143e205 ggml : add option to not print stack on abort (ggml/1081)
* Add option to not print stack on abort

Add option/envvar to disable stack printing on abort.
Also link some unittests with Threads to fix link errors on
ubuntu/g++11.

* Update ggml/src/ggml.c

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2025-02-03 22:00:57 +02:00
issixx f12559d590 ggml-cpu : fix ggml_graph_compute_thread did not terminate on abort. (ggml/1065)
some threads kept looping and failed to terminate properly after an abort during CPU execution.

Co-authored-by: issi <issi@gmail.com>
2025-02-03 22:00:57 +02:00
Johannes Gäßler d5ef1737d8 GGUF: C++ refactor, backend support, misc fixes (skip) (llama/11030)
ggml-ci
2025-01-14 10:38:01 +02:00
lhez 1deb41f0e7 ggml : add opencl backend (skip) (llama/10693)
---------

Co-authored-by: Skyler Szot <quic_sszot@quicinc.com>
Co-authored-by: Shangqing Gu <quic_shawngu@quicinc.com>
Co-authored-by: Alexander Angus <quic_aangus@quicinc.com>
Co-authored-by: Hongqiang Wang <quic_wangh@quicinc.com>
Co-authored-by: Max Krasnyansky <quic_maxk@quicinc.com>
2025-01-14 10:38:01 +02:00
Andreas Kieslinger 2425caf4fd cuda : CUDA Graph Compute Function Refactor (precursor for performance improvements) (llama/11042)
* Refactor: Moves cuda graph executable update step to separate function.

* Refactor: Moves cuda graph update check to separate function.

* Refactor: Moves cuda graph maintenance (update or adjusting copy parameters) to separate function for improved readability.

* Fix: Adds missing reference to maintain_cuda_graph() definition.

* Refactor: Improves structure and abstractions by moving CUDA graph evaluation and capture to its own function.

* Refactor: Moves node graph checks and copy ops into individual function for improved readability.

* Refactor: Removes code permanently excluded from compilation to increase readability.

* Style: Adds missing newline

* Style: Consolidates several neighboring '#ifdef USE_CUDA_GRAPH' into a single one

* Refactor: Makes 'cuda_graph_update_required' a local variable

* remove double lines between functions

---------

Co-authored-by: slaren <slarengh@gmail.com>
2025-01-14 10:38:01 +02:00
Radoslav Gerganov a4b00bcaaf ggml : do not define GGML_USE_CUDA when building with GGML_BACKEND_DL (llama/11211)
Build fails when using HIP and GGML_BACKEND_DL:
```
/usr/bin/ld: ../ggml/src/libggml.so: undefined reference to `ggml_backend_cuda_reg'
collect2: error: ld returned 1 exit status
```
This patch fixes this.
2025-01-14 10:38:01 +02:00
0cc4m cdb8aa2f2e Vulkan: Fix float16 use on devices without float16 support + fix subgroup_size_control validation error (llama/11161)
* Vulkan: Remove float16 use in shaders

* Fix validation error about subgroup_size_control extension
2025-01-14 10:38:01 +02:00
Molly Sophia 06209f6683 llama: add support for QRWKV6 model architecture (llama/11001)
llama: add support for QRWKV6 model architecture (llama/11001)

* WIP: Add support for RWKV6Qwen2

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* RWKV: Some graph simplification

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Add support for RWKV6Qwen2 with cpu and cuda GLA

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* RWKV6[QWEN2]: Concat lerp weights together to reduce cpu overhead

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Fix some typos

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* code format changes

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Fix wkv test & add gla test

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Fix cuda warning

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Update README.md

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Update ggml/src/ggml-cuda/gla.cu

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Fix fused lerp weights loading with RWKV6

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* better sanity check skipping for QRWKV6 in llama-quant

thanks @compilade

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
Co-authored-by: compilade <git@compilade.net>

---------

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: compilade <git@compilade.net>
2025-01-14 10:38:01 +02:00
Akarshan Biswas c3235bd81e SYCL: Refactor ggml_sycl_compute_forward (llama/11121)
* SYCL: refactor ggml_sycl_compute_forward

* SYCL: add back GGML_USED(dst) to ggml_sycl_cpy

* SYCL: add function name to noop debug

* SYCL: Some device info print refactoring and add details of XMX availability
2025-01-14 10:38:01 +02:00
hydai 262d0abc87 fix: add missing msg in static_assert (llama/11143)
Signed-off-by: hydai <z54981220@gmail.com>
2025-01-14 10:38:01 +02:00
amritahs-ibm 124eec1664 llamafile : ppc64le MMA INT8 implementation (llama/10912)
This change upstreams llamafile's cpu matrix
multiplication kernels for ppc64le using MMA
builtins for quantised int8 datatype.

This change results in 10% - 70% improvement
in total speed(ie all tokens/total time), across
various batch sizes.

The patch is tested with Meta-Lllama-3-8B,
Mistral-7B, Llama-2-7B-chat-hf models on a
IBM POWER10 machine.

Signed-off-by: Amrita H S <amritahs@linux.vnet.ibm.com>
2025-01-14 10:38:01 +02:00
Mathieu Baudier b08c3a88c8 Disable GL_KHR_cooperative_matrix Vulkan extension if not available. (llama/11117)
* Disable GL_KHR_cooperative_matrix Vulkan extension if not available.

* Perform Vulkan extensions checks in a more sensible order

* Remove unnecessary #ifdef directive
2025-01-14 10:38:01 +02:00
ag2s20150909 0afce25a69 fix: Vulkan shader gen binary path when Cross-compiling (llama/11096)
* fix: Vulkan shader gen binary path when cross compiling
2025-01-14 10:38:01 +02:00
Johannes Gäßler acdbe58631 GGUF: C++ refactor, backend support, misc fixes (llama/11030)
* GGUF: C++ refactor, backend support, misc fixes

remove ggml_tensor.backend

update CODEOWNERS [no ci]

remove gguf_get_data from API

revise GGUF API data types
2025-01-14 10:38:01 +02:00
Diego Devesa 09fabffdf5 ggml-backend : only offload from host buffers (fix) (llama/11124) 2025-01-14 10:38:01 +02:00
Diego Devesa 3988d6396b ggml-backend : only offload from host buffers (llama/11120) 2025-01-14 10:38:01 +02:00
Radoslav Gerganov c8c63eeec0 rpc : code cleanup (llama/11107)
Remove duplicated macros, use GGML_LOG_ERROR for errors
2025-01-14 10:38:01 +02:00
Akarshan Biswas abf7f24410 SYCL: Use get_multi_ptr instead of deprecated get_pointer in wkv6 (llama/11087)
* SYCL: Use get_multi_ptr instead of deprecated get_pointer in wkv6

* Revert "SYCL: Use get_multi_ptr instead of deprecated get_pointer in wkv6"

This reverts commit f62dc45f318e48d375e7734b34cbddee81deed52.

* Reland: Use get_multi_ptr instead of deprecated get_pointer in wkv6
2025-01-14 10:38:01 +02:00
Johannes Gäßler 341f5c28e6 CUDA: add BF16 support (llama/11093)
* CUDA: add BF16 support
2025-01-14 10:38:01 +02:00
0cc4m 5377099524 Vulkan: Add device-specific blacklist for coopmat for the AMD proprietary driver (llama/11074)
* Vulkan: Add device-specific blacklist for coopmat for the AMD proprietary driver

* Add (TM) to AMD name check
2025-01-14 10:38:01 +02:00
matt23654 dcbb375779 Support for models with non-512-aligned tensors over RPC. (llama/11047)
* Added init tensor calling code

* Added get_alloc_size forwarding

* Cleaned up and improved type/error handling.

* fix: remove trailing whitespaces.

* Cleanup and use GGML error logging functions.

* Handle potentially dangerous edge cases.

* Apply suggestions from code review

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

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2025-01-14 10:38:01 +02:00
Gilad S. 4334c71aed fix: Vulkan shader gen binary path (llama/11037) 2025-01-14 10:38:01 +02:00
Radoslav Gerganov e875a82473 ggml : allow loading backend with env variable (ggml/1059)
ref: #1058
2025-01-14 10:38:01 +02:00
Georgi Gerganov 2e93cb6a2f ggml : do not install metal source when embed library (ggml/1054) 2025-01-04 10:45:01 +02:00
Georgi Gerganov de5cd60d1c metal : avoid uint (llama/11019) 2025-01-04 10:45:01 +02:00
Srihari-mcw 3fcba3e58b ggml : fixes for AVXVNNI instruction set with MSVC and Clang (llama/11027)
* Fixes for clang AVX VNNI

* enable AVX VNNI and alder lake build for MSVC

* Apply suggestions from code review

---------

Co-authored-by: slaren <slarengh@gmail.com>
2025-01-04 10:45:01 +02:00
Jeff Bolz cea5f1c52f vulkan: optimize mul_mat for small values of N (llama/10991)
Make the mul_mat_vec shaders support N>1 (as a spec constant, NUM_COLS) where
the batch_strides are overloaded to hold the row strides. Put the loads from the
B matrix in the innermost loop because it should cache better.

Share some code for reducing the result values to memory in mul_mat_vec_base.
2025-01-04 10:45:01 +02:00
Jeff Bolz 2112462db4 vulkan: im2col and matmul optimizations for stable diffusion (llama/10942)
* tests: Add im2col perf tests

* vulkan: optimize im2col, more elements per thread

* vulkan: increase small tile size for NV_coopmat2

* vulkan: change im2col to 512 elements per workgroup
2025-01-04 10:45:01 +02:00
Jeff Bolz fc84ecd445 vulkan: Use push constant offset to handle misaligned descriptors (llama/10987) 2025-01-04 10:45:01 +02:00
Eve 8de1e99907 vulkan: multi-row k quants (llama/10846)
* multi row k quant shaders!

* better row selection

* more row choices

* readjust row selection

* rm_kq=2 by default
2025-01-04 10:45:01 +02:00
Peter 499af9294a examples, ggml : fix GCC compiler warnings (llama/10983)
Warning types fixed (observed under MSYS2 GCC 14.2.0):
* format '%ld' expects argument of type 'long int', but argument has type 'size_t'
* llama.cpp/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp:81:46: warning: missing initializer for member '_STARTUPINFOA::lpDesktop' [-Wmissing-field-initializers]  (emitted for all struct field except first)
2025-01-04 10:45:01 +02:00
Djip007 bcf937c216 ggml : more perfo with llamafile tinyblas on x86_64 (llama/10714)
* more perfo with llamafile tinyblas on x86_64.

- add bf16 suport
- change dispache strategie (thanks:
https://github.com/ikawrakow/ik_llama.cpp/pull/71 )
- reduce memory bandwidth

simple tinyblas dispache and more cache freindly

* tinyblas dynamic dispaching

* sgemm: add M blocs.

* - git 2.47 use short id of len 9.
- show-progress is not part of GNU Wget2

* remove not stable test
2025-01-04 10:45:01 +02:00
Diego Devesa b8d90953d7 ggml : use wstring for backend search paths (llama/10960)
ggml-ci
2025-01-04 10:45:01 +02:00
Diego Devesa 60a422147b ggml : fix arm enabled features check (llama/10961) 2025-01-04 10:45:01 +02:00
Diego Devesa 3387415bad ggml : fix const usage in SSE path (llama/10962) 2025-01-04 10:45:01 +02:00
yuri@FreeBSD 536ca3ec89 ggml : fix run-time on FreeBSD in get_executable_path() (llama/10948) 2025-01-04 10:45:01 +02:00
Jeff Bolz a4bb983190 vulkan: build fixes for 32b (llama/10927)
* vulkan: build fixes for 32b

Should fix #10923

* vulkan: initialize some buffer/offset variables
2025-01-04 10:45:01 +02:00
Jeff Bolz 39c205f555 vulkan: optimize coopmat2 dequant functions (llama/10855)
Change the code to do 16b loads when possible and extract the appropriate
component late, so the code is effectively decoding a pair of elements and
then selecting one. This can allow more commoning to happen in the compiler
when neighboring elements are loaded.
2025-01-04 10:45:01 +02:00
Adrien Gallouët 6d502f33dc ggml-cpu: replace NEON asm with intrinsics in ggml_gemv_q4_0_4x8_q8_0() (llama/10874)
* ggml-cpu: replace NEON asm with intrinsics in ggml_gemv_q4_0_4x8_q8_0()

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* ggml-cpu: format code

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

---------

Signed-off-by: Adrien Gallouët <angt@huggingface.co>
2025-01-04 10:45:01 +02:00
Akarshan Biswas 5ea27d089d SYCL: Migrate away from deprecated ggml_tensor->backend (llama/10840)
* Migrate to tensor->buffer for checking backend buffer type: 1

* SYCL: common.cpp try to migrate away from tensor->backend

* SYCL: fix assertions and add proper comments

* SYCL: remove extra space

* SYCL: Add back static to ggml_backend_buffer_is_sycl_split function

* SYCL: Add pragma directive to suppress warning spam

* SYCL: Integrate debug logs with GGML_LOG and other fixes

* Revert "SYCL: Integrate debug logs with GGML_LOG and other fixes"

This reverts commit 2607b7de0f0d2f4f1f690226f86fa861aa39cb97.
Let's keep the current SYCL specific logging mechanism for now

* SYCL: Use GGML_SYCL_DEBUG after reverting

* SYCL: reg_get_proc_address func, update to the current func signature

* SYCL: Refactor SYCL buffer checks in ggml_sycl_cpy_tensor_2d
2025-01-04 10:45:01 +02:00
Diego Devesa 1462d92588 ggml : add test for SVE and disable when it fails (llama/10906) 2025-01-04 10:45:01 +02:00
Adrien Gallouët 7ba1a41f47 ggml: fix arm build with gcc (llama/10895)
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
2025-01-04 10:45:01 +02:00
Diego Devesa 5ea088636f ggml : fix arm build (llama/10890)
* ggml: GGML_NATIVE uses -mcpu=native on ARM

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* ggml: Show detected features with GGML_NATIVE

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* remove msvc support, add GGML_CPU_ARM_ARCH option

* disable llamafile in android example

* march -> mcpu, skip adding feature macros

ggml-ci

---------

Signed-off-by: Adrien Gallouët <angt@huggingface.co>
Co-authored-by: Adrien Gallouët <angt@huggingface.co>
2025-01-04 10:45:01 +02:00
Georgi Gerganov f32ddb3b1c tts : add OuteTTS support (llama/10784)
* server : add "tokens" output

ggml-ci

* server : output embeddings for all tokens when pooling = none

ggml-ci

* server : be explicit about the pooling type in the tests

ggml-ci

* server : do not normalize embeddings when there is no pooling

ggml-ci

* llama : add OuteTTS support (wip)

* wip

* extract features

* first conv

* group norm

* resnet conv

* resnet

* attn

* pos net

* layer norm

* convnext

* head

* hann window

* fix n_embd + remove llama.cpp hacks

* compute hann window

* fft

* spectrum processing

* clean-up

* tts : receive input text and generate codes

* clip : fix new conv name

* tts : minor fix

* tts : add header + minor fixes

ggml-ci

* tts : add matchematical constant

ggml-ci

* tts : fix sampling + cut initial noise

* tts : fixes

* tts : update default samplers

ggml-ci

* tts : text pre-processing

* tts : outetts-voc -> wavtokenizer-dec

* tts : remove hardcoded constants

ggml-ci

* tts : fix tensor shapes

* llama : refactor wavtokenizer tensors

ggml-ci

* cont

ggml-ci

* cont [no ci]

* llama : update WavTokenizer to non-causal attn

* llama : handle no-vocab detokenization

* tts : add Python example for OuteTTS (wip)

* tts : extend python example to generate spectrogram

ggml-ci

* server : fix rebase artifacts

* tts : enable "return_tokens" in Python example

ggml-ci

* tts : minor fixes

* common : support HF download for vocoder
2025-01-04 10:45:01 +02:00
Johannes Gäßler 79b75ece03 tests: add tests for GGUF (llama/10830) 2025-01-04 10:45:01 +02:00
Daniel Bevenius 6348d73e55 ggml : improve inputs log sched_print_assignments (ggml/1053)
This commit attempts to improve the log message for the inputs of the
splits in the sched_print_assignments function.

The motivation for this change is that currently even if there are no
inputs a colon is displayed at the end of the line, which can make it a
little confusing when reading the output as it could be interpreted as
the line below are inputs when they are in fact nodes. With this change
the colon will only be printed if there actually are inputs.
2025-01-04 10:45:01 +02:00
Georgi Gerganov 6576af00d7 files : remove old sources 2024-12-18 12:52:16 +02:00
Georgi Gerganov 479499dc0e ggml : update ggml_backend_cpu_device_supports_op (llama/10867)
* ggml : fix cpy op for IQ-quants to use reference impl

ggml-ci

* ggml : disable tests involving i-matrix quantization

* ggml : update ggml_backend_cpu_device_supports_op

ggml-ci
2024-12-18 12:52:16 +02:00
Eve d420a759c5 vulkan: bugfixes for small subgroup size systems + llvmpipe test (llama/10809)
* ensure mul mat shaders work on systems with subgroup size less than 32

more fixes

add test

* only s_warptile_mmq needs to be run with 32 threads or more
2024-12-18 12:52:16 +02:00
Zhiyuan Li a1ab9b5e91 rwkv6: add wkv6 support for Vulkan backend (llama/10829)
* rwkv_wkv6 vulkan shader

* RWKV_WKV6 Vulkan op tests passed

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Apply code format changes

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* add [[unroll]] and remove unnecessary conditions

* add uma support

* fix erros in EditorConfig Checker

---------

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
Co-authored-by: Molly Sophia <mollysophia379@gmail.com>
2024-12-18 12:52:16 +02:00
HimariO e22d38e4f2 llama : add Qwen2VL support + multimodal RoPE (llama/10361)
* Barebone Qwen2VL LLM convertor

* Add Qwen2VL cli entrypoint

* [WIP] add qwen2vl arch

* Verify m-rope output

* Add vl-rope/2d-rope support for qwen2vl ViT

* update qwen2vl cli tool

* update 5D tensor op workaround

* [WIP] qwen2vl vision model

* make batch and clip utils compatible with qwen2vl

* [WIP] create inference workflow, gguf convert script but fix

* correcting vision-rope behavior, add the missing last layer back to ViT

* add arg parser to qwen2vl_surgery

* replace variable size array with vector

* cuda-gdb cmake preset

* add fp32 mrope, vision rope kernel

* add fp16 support for qwen2vl and m-rope

* add `GGML_ROPE_TYPE_MROPE`, `GGML_ROPE_TYPE_VISION`

* fix rope op mode switching, out dated func args

* update `llama_hparams`

* update to keep up stream changes

* resolve linter, test errors

* add makefile entry, update speical image padding token

* add mrope unit test, fix few compiler warnings

* rename `mrope` related function, params

* minor updates on debug util, bug fixs

* add `m-rope` testcase to `test-backend-ops`

* Apply suggestions from code review

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* fix traililng whitespce

* store `llama_hparams.rope_sections` with fixed size array

* update position id tensor size check in GGML_OP_ROPE

* minor updates

* update `ggml_backend_*_supports_op` of unsupported backends

* remote old `rope_section` compare operator

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-12-18 12:52:16 +02:00
lhez 856fbaa92f Introducing experimental OpenCL backend with support for Qualcomm Adreno GPUs (llama/10693)
* [cl][adreno] Add Adreno GPU support

Add new OpenCL backend to support Adreno GPUs

---------

Co-authored-by: Skyler Szot <quic_sszot@quicinc.com>
Co-authored-by: Shangqing Gu <quic_shawngu@quicinc.com>
Co-authored-by: Alexander Angus <quic_aangus@quicinc.com>
Co-authored-by: Hongqiang Wang <quic_wangh@quicinc.com>
Co-authored-by: Max Krasnyansky <quic_maxk@quicinc.com>

* [cl][ci] Add workflow for CL

* [cl][adreno] Fix memory leak for non SMALL_ALLOC path

* opencl: integrate backend dyn.load interface and fix compiler and format warnings

* opencl: remove small-alloc support and fix build errors for non-opencl platforms

* opencl: fixed merge conflict (MUSA added twice in cmake)

* opencl-ci: use RUNNER_TEMP instead of github.workspace

* opencl: fix embed tool invocation with python3

* opencl: CI workflow fixes

* opencl: Clean up small-alloc in CMake files

* opencl: cleanup ggml-opencl2 header file

* opencl: use ulong for offsets and strides in ADD kernel

* opencl: use cl_ulong for all offsets

* opencl: use cl_ulong for sizes and strides

* opencl: use `GGML_LOG_xxx` instead of `fprintf(stderr, ...)`

* opencl: rename backend `opencl2` -> `opencl`

* opencl: rename kernel files `ggml-opencl2` -> `ggml-opencl`

* opencl: make OpenCL required, remove redundant lib and inc directories

* `ggml-base`, `..` and `.` are added by `ggml_add_backend_library`

* opencl: rename backend - funcs, structs, etc `opencl2` -> `opencl`

* opencl: remove copyright marker since main license already covers

* opencl: replace some more OPENCL2 leftovers

* opencl: remove limits on `tensor_extra`

* opencl: use pools for `tensor_extra`

* opencl: fix compiler warnings with GCC and Clang

Still getting the warning about clCreateCmdQueue being obsolete.
Will fix that separately.

* opencl: fail gracefully if opencl devices are not available

Also for unsupported GPUs.

* opencl: fix MSVC builds (string length error)

* opencl: check for various requirements, allow deprecated API

* opencl: update log message for unsupported GPUs

---------

Co-authored-by: Skyler Szot <quic_sszot@quicinc.com>
Co-authored-by: Shangqing Gu <quic_shawngu@quicinc.com>
Co-authored-by: Alexander Angus <quic_aangus@quicinc.com>
Co-authored-by: Hongqiang Wang <quic_wangh@quicinc.com>
Co-authored-by: Max Krasnyansky <quic_maxk@quicinc.com>
2024-12-18 12:52:16 +02:00
谢乃闻 2c05efa4b1 Fix crash caused by ggml_backend_load_all when launching on Android Activity (llama/10812)
* Fix crash caused by ggml_backend_load_all when launching on AndroidActivity.

Details:
Calling ggml_backend_load_all during initialization in the AndroidActivity project leads to a crash with the error:
terminating with uncaught exception of type std::__ndk1::__fs::filesystem::filesystem_error: filesystem error: in directory_iterator::directory_iterator(...): Permission denied [./].
This issue occurs because AndroidActivity restricts file access due to sandboxing.

Reproduction:
In the example folder, the LlamaAndroid project can reproduce the crash by calling ggml_backend_load_all first in Java_android_llama_cpp_LLamaAndroid_backend_1init.

* Update ggml/src/ggml-backend-reg.cpp

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2024-12-18 12:52:16 +02:00
Eve c21fb10b28 vulkan: small mul_mat_vec optimizations (llama/10665)
* double the number of rows per workgroup

* Update ggml-vulkan.cpp

* Vulkan: Add VK_EXT_subgroup_size_control support to ensure full subgroups for coopmats

* only increase the number of rows for amd and subgroup size 64

* fix missing NUM_ROWS for mul_mat_vec_iq4_nl_f16_f32, untested

* use subgroup min and max to check for gcn (requires https://github.com/ggerganov/llama.cpp/pull/10721)

* manual merge ggml-vulkan.cpp

* set min and max subgroup size in any case

* Also double the number of rows for Intel GPUs
2024-12-18 12:52:16 +02:00
Akarshan Biswas 26c9fd0cdc SYCL: Reduce most of the compiler warnings (llama/10748)
* Try to reduce some unused and typecast warnings

* Reduce compiler warnings step 2

* add a newline at the end of the file

* Initialize nreduce as size_t

* [SYCL] Remove pragma directives from mmq.cpp

* SYCL: mmq add condition to prevent blocks_per_tile_x_row variable from becoming 0

* SYCL softmax: Initialize nreduce as size_t

* ggml-sycl.cpp: fix some trailing whitespaces

* SYCL: remove the unused variables instead of commenting it out

* SYCL poo2d kernel: set NAN for invalid pooling op

* SYCL gemm.hpp: remove pragma directives

* SYCL gemm.hpp: use const cast to properly support dnnl::memory

* SYCL: wkv6 remove a comment

* SYCL: clean comments step 2

* SYCL: clean comments and variables step 3

* SYCL: Use GGML_UNUSED for unused variables

* SYCL: remove extra empty lines and a comment

* Remove TODO

* cleanup spaces

* add a stdout for unsupported op

* use sycl printf over fprintf

* remove prints for CI

* SYCL ggml-sycl: pool2D use sycl::nan and remove if-else block

---------

Co-authored-by: Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com>
2024-12-18 12:52:16 +02:00
Karol Kontny e6eed605cf ggml : Fix compilation issues on ARM platform when building without fp16 (llama/10811) 2024-12-18 12:52:16 +02:00
a3sh abe3102cb7 CUDA: faster non-contiguous concat (llama/10760)
* faster uncontiguous concat

* Use a lambda to avoid code duplication

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

* Update ggml/src/ggml-cuda/concat.cu

* add constexpr  and static assert

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2024-12-18 12:52:16 +02:00
Diego Devesa 1193e494a9 remove CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS (llama/10797)
other windows build fixes
2024-12-18 12:52:16 +02:00
0cc4m e5e951672e Vulkan: Use improved q4_k and q5_k dequant code in dequant shaders (llama/10798) 2024-12-18 12:52:16 +02:00
0cc4m 0e24559ad9 Vulkan: Add VK_EXT_subgroup_size_control support to ensure full subgroups for coopmats (llama/10721)
* Vulkan: Add VK_EXT_subgroup_size_control support to ensure full subgroups for coopmats

* Fix subgroup size control extension support check

Add accf32 and accf16 checks for coopmats

* Also disable coopmats on amdvlk
2024-12-18 12:52:16 +02:00
Gilad S 527ac800cf ggml: load all backends from a user-provided search path (llama/10699)
* feat: load all backends from a user-provided search path

* fix: Windows search path

* refactor: rename `ggml_backend_load_all_in_search_path` to `ggml_backend_load_all_from_path`

* refactor: rename `search_path` to `dir_path`

* fix: change `NULL` to `nullptr`

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

* fix: change `NULL` to `nullptr`

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2024-12-18 12:52:16 +02:00
Jeff Bolz 479bd77169 vulkan: request round-to-even for fp16 in im2col/rope_head (llama/10767)
Vulkan doesn't mandate a specific rounding mode, but the shader_float_controls
feature allows rounding mode to be requested if the implementation supports it.
2024-12-18 12:52:16 +02:00
Eve d8bf63a41b vulkan: dynamic subgroup size for the remaining k quants (llama/10745)
* q5_k

q4_k

q3_k

q2_k

q6_k multi row example

* revert as multi row isnt faster for k quants
2024-12-18 12:52:16 +02:00
Andreas Kieslinger b82c8d76dc CUDA: rename macros to avoid conflicts with WinAPI (llama/10736)
* Renames NVIDIA GPU-architecture flags to avoid name clashes with WinAPI. (e.g. CC_PASCAL, GPU architecture or WinAPI pascal compiler flag?)

* Reverts erroneous rename in SYCL-code.

* Renames GGML_CUDA_MIN_CC_DP4A to GGML_CUDA_CC_DP4A.

* Renames the rest of the compute capability macros for consistency.
2024-12-18 12:52:16 +02:00
Jeff Bolz 86346f811e vulkan: disable spirv-opt for coopmat shaders (llama/10763)
There are some bugs in the 1.3.296 SDK, so disable this. It isn't strictly
necessary anyway.

Add missing dependency on vulkan-shaders-gen, so shaders get recompiled when it
changes.

Fix coopmat support reporting when glslc doesn't support NV_coopmat2.
2024-12-18 12:52:16 +02:00
Daniel Bevenius c635f40a34 ggml : remove return from ggml_gallocr_allocate_node (ggml/1048)
This commit removes the return statement from ggml_gallocr_allocate_node
function.

The motivation behind this change is to make the code more readable and
consistent.
2024-12-18 12:52:16 +02:00
Daniel Bevenius e0be0de1ee ggml : add check for grad_accs (ggml/1046)
* ggml : add check for grad_accs

This commit adds a check for grad_accs in ggml_graph_get_grad and
ggml_graph_get_grad_acc functions. This is necessary to avoid segfaults
when grad_accs is not initialized.

The motivation for this change is that I find it nice to be able to
print out a computation graph using ggml_graph_print but this function
segfaults when grad_accs is not initialized:
```console
(gdb) p g1
$2 = (ggml_cgraph *) 0x7ffff66004b0
(gdb) p *g1
$3 = {size = 2048, n_nodes = 1, n_leafs = 2, nodes = 0x7ffff6600500,
grads = 0x0, grad_accs = 0x0, leafs = 0x7ffff6604500,
visited_hash_set = {size = 4099, used = 0x7ffff6610518,
keys = 0x7ffff6608500}, order = GGML_CGRAPH_EVAL_ORDER_LEFT_TO_RIGHT}
(gdb) p ggml_graph_print(g1)
=== GRAPH ===
n_nodes = 1

Program received signal SIGSEGV, Segmentation fault.
0x0000555555579775 in ggml_graph_get_grad
(cgraph=0x7ffff66004b0,node=0x7ffff6600340)
    at /ggml/ggml/src/ggml.c:5990
5990  return igrad != GGML_HASHSET_FULL &&
          ggml_bitset_get(cgraph->visited_hash_set.used, igrad) ?
          cgraph->grads[igrad] : NULL;
```

* squash! ggml : add check for grad_accs

Fix the check in ggml_graph_get_grad. The check was incorrectly using
cgraph->grad_accs instead of cgraph->grads.
2024-12-18 12:52:16 +02:00
Johannes Gäßler eb27e0d834 CUDA: fix shared memory access condition for mmv (llama/10740) 2024-12-18 12:52:16 +02:00
Jeff Bolz a682fdce0c vulkan: fix compile warnings (llama/10731) 2024-12-18 12:52:16 +02:00
stduhpf 9ffbd3d969 Vulkan: fix NaN in tanh.comp with AMD proprietary driver on Windows (llama/10723)
* Vulkan: fix NaN in tanh.comp

* Faster NaN-free tanh
2024-12-18 12:52:16 +02:00
Jeff Bolz 6585a890b4 vulkan: compile a test shader in cmake to check for coopmat2 support (llama/10713) 2024-12-18 12:52:16 +02:00
Georgi Gerganov d0a050b51f ggml : disable iq4_nl interleave size 8 (llama/10709)
ggml-ci
2024-12-18 12:52:16 +02:00
Djip007 e990d1b791 ggml : refactor online repacking (llama/10446)
* rename ggml-cpu-aarch64.c to .cpp

* reformat extra cpu backend.

- clean Q4_0_N_M and IQ4_0_N_M
  - remove from "file" tensor type
  - allow only with dynamic repack

- extract cpu extra bufts and convert to C++
  - hbm
  - "aarch64"

- more generic use of extra buffer
  - generalise extra_supports_op
  - new API for "cpu-accel":
     - amx
     - aarch64

* clang-format

* Clean Q4_0_N_M ref

Enable restrict on C++

* add op GGML_OP_MUL_MAT_ID for Q4_0_N_M with runtime repack

* added/corrected control on tensor size for Q4 repacking.

* Update ggml/src/ggml-cpu/ggml-cpu-aarch64.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update ggml/src/ggml-cpu/ggml-cpu-aarch64.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* add debug logs on repacks.

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-12-18 12:52:16 +02:00
0cc4m 4a6d52efe6 Vulkan: VK_KHR_cooperative_matrix support to speed up prompt processing (llama/10597)
* Vulkan: Implement VK_KHR_cooperative_matrix support in the matrix matrix multiplication shader

* Improve performance with better q4_k and q5_k dequant and store unrolling

* Add Vulkan MUL_MAT and MUL_MAT_ID accumulator precision selection

* Rework mulmat shader selection and compilation logic, avoid compiling shaders that won't get used by device

* Vulkan: Implement accumulator switch for specific mul mat mat shaders

* Vulkan: Unroll more loops for more mul mat mat performance

* Vulkan: Add VK_AMD_shader_core_properties2 support to read Compute Unit count for split_k logic

* Disable coopmat support on AMD proprietary driver

* Remove redundant checks

* Add environment variable GGML_VK_DISABLE_COOPMAT to disable VK_KHR_cooperative_matrix support

* Fix rebase typo

* Fix coopmat2 MUL_MAT_ID pipeline selection
2024-12-18 12:52:16 +02:00
Robert Ormandi 8b841d430a metal : Extend how Llama.cpp locates metal resources (llama/10676)
* metal : Extend how Llama.cpp locates metal resources (llama/10675)

  * It searches the resource file in the directory where the current
    binary is located as well.
  * Resolves symbolic links.

Rationale:

When we plug this dependency into a Bazel build and run it in the
context of Bazel (e.g. testing):

  * the execution directory is often very different from where the files
    are located and no direct control over this (Bazel sandboxing),
  * the Bazel sandbox often use symbolic links to make files available.

With this patch, we can have the resource file added to the target,
can build and run tests in the context of Bazel.

* Update ggml/src/ggml-metal/ggml-metal.m

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update ggml/src/ggml-metal/ggml-metal.m

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-12-18 12:52:16 +02:00
Jeff Bolz b74b68212a vulkan: Add VK_NV_cooperative_matrix2 support for mul_mat and flash attention (llama/10206) 2024-12-18 12:52:16 +02:00
Georgi Gerganov 94e7da1ff2
cmake : fix "amd64" processor string (#2638) 2024-12-17 18:34:32 +02:00
gn64 c4aed6831e
vulkan : fix soft_max.comp division by zero (#2633)
This change prevents a division by zero error when p.KY is 0.
2024-12-16 12:34:38 +02:00
Georgi Gerganov 7d134e3737
ggml : remove old files (skip) (#0) 2024-12-08 23:04:26 +02:00
Georgi Gerganov 9df53b357e
ggml : sync remnants (skip) (#0) 2024-12-08 22:48:25 +02:00
Diego Devesa a815940e0e ggml : add predefined list of CPU backend variants to build (llama/10626)
* ggml : add predefined list of CPU backend variants to build

* update CPU dockerfiles
2024-12-08 20:14:35 +02:00
Diego Devesa 904e307bce ggml-cpu : fix HWCAP2_I8MM value (llama/10646) 2024-12-08 20:14:35 +02:00
Jeff Bolz 491ec076b4 vulkan: Implement "fast divide" (mul+shift) for unary ops like copy (llama/10642) 2024-12-08 20:14:35 +02:00
Nicolò Scipione 966433fdf2 SYCL : Move to compile time oneMKL interface backend selection for NVIDIA backend (llama/10584)
* [SYCL] Move to Compile Time backend selection on oneMKL Interface for NVIDIA backend

Move to compile time selection to backend to avoid latency at run time.
Add it to all mkl gemm calls and only for NVIDIA backend.

Signed-off-by: nscipione <nicolo.scipione@codeplay.com>

* Formatting

* Address PR comments to increase readibility

---------

Signed-off-by: nscipione <nicolo.scipione@codeplay.com>
2024-12-08 20:14:35 +02:00
Frankie Robertson 6f1ba9d82d Avoid using __fp16 on ARM with old nvcc (llama/10616) 2024-12-08 20:14:35 +02:00
Jeff Bolz 015ecd0001 vulkan: optimize and reenable split_k (llama/10637)
Use vector loads when possible in mul_mat_split_k_reduce. Use split_k
when there aren't enough workgroups to fill the shaders.
2024-12-08 20:14:35 +02:00
PAB b7c64a4352 ggml: add `GGML_SET` Metal kernel + i32 CPU kernel (ggml/1037)
* implemented cpu kernel

* add i32 test cases in test-backend-ops

* typedef `ggml_metal_kargs_set`

* implemented `kernel_set`

* memcpy
2024-12-08 20:14:35 +02:00
PAB 7895d39508 ggml : add `GGML_PAD_REFLECT_1D` operation (ggml/1034)
* ggml_pad_reflect_1d defined in header

* implemented on CPU

* called the forward pass

* impl Metal kernel

* added Metal kernel

* added OP_PAD_REFLECT_1D in test-backend-ops.cpp

* add test-pad-reflect-1d test case

* test case support multiple backend
2024-12-08 20:14:35 +02:00
Georgi Gerganov 22616f00f9 files : remove make artifacts 2024-12-08 20:14:35 +02:00