Commit Graph

129 Commits

Author SHA1 Message Date
slaren
4db04784f9
cuda : fix defrag with quantized KV (#9319) 2024-09-05 11:13:11 +02:00
Srihari-mcw
581c305186
ggml : AVX2 support for Q4_0_8_8 (#8713)
* Add AVX2 based implementations for quantize_q8_0_4x8, ggml_gemv_q4_0_8x8_q8_0 and ggml_gemm_q4_0_8x8_q8_0 functions

* Update code to fix issues occuring due to non alignment of elements to be processed as multiple of 16 in MSVC

* Update comments and indentation

* Make updates to reduce number of load instructions
2024-09-04 19:51:22 +03:00
Ouadie EL FAROUKI
5910ea9427
[SYCL] Fix DMMV dequantization (#9279)
Fixed dmmv dequant for ncols== GGML_SYCL_DMMV_X
2024-09-04 16:26:33 +01:00
yuri@FreeBSD
f771d064a9
ggml : add pthread includes on FreeBSD (#9258) 2024-09-02 18:25:30 +03:00
Molly Sophia
8f1d81a0b6
llama : support RWKV v6 models (#8980)
* convert_hf_to_gguf: Add support for RWKV v6

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

* Add RWKV tokenization

* Fix build

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

* Do not use special tokens when matching in RWKV tokenizer

* Fix model loading

* Add (broken) placeholder graph builder for RWKV

* Add workaround for kv cache

* Add logits conversion to rwkv5

* Add rwkv5 layer norms

* Add time mix KVRG & correct merge mistake

* Add remaining time mix parameters

* Add time mix output loading

* Add placeholder llm_build_time_mix

* Fix build

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

* Load more tensors for rwkv v6

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

* Fix rwkv tokenizer

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

* ggml: Add unary operator Exp

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

* RWKV v6 graph building

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

* Add ``rescale_every_n_layers`` parameter

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

* Add ``wkv.head_size`` key for RWKV

so it doesn't reuse Mamba ssm parameters

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

* Fix offloading layers to CUDA

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

* Fix parallel inferencing for RWKV

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

* Remove trailing whitespaces

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

* build_rwkv: Avoid using inplace operations

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

* convert_hf_to_gguf: rwkv: Avoid using ``eval``

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

* convert_hf_to_gguf: rwkv tokenizer: Don't escape sequences manually

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

* Update convert_hf_to_gguf.py

Co-authored-by: compilade <git@compilade.net>

* ggml: Add backward computation for unary op ``exp``

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

* Update convert_hf_to_gguf.py

Co-authored-by: compilade <git@compilade.net>

* Update convert_hf_to_gguf.py

Co-authored-by: compilade <git@compilade.net>

* Use MODEL_ARCH.RWKV6 instead of MODEL_ARCH.RWKV

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

* build_rwkv6: Simplify graph

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

* llama: rwkv6: Detect model.type

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

* llama: rwkv6: Fix tensor loading for 7B/14B models

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

* llama: rwkv6: Fix group_norm assertion failure with Metal

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

* llama: rwkv6: Clean up

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

* llama: rwkv6: Add quantization tensor exclusion

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

* llama: rwkv6: Use the new advanced batch splits

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

* Update src/llama.cpp

Co-authored-by: compilade <git@compilade.net>

* llama: rwkv6: Use ``ggml_norm`` instead of ``ggml_group_norm``

Co-authored-by: compilade <git@compilade.net>

* llama: rwkv6: Apply code style and misc changes

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

* converter: Use class name ``Rwkv6Model``

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

* llama: rwkv6: Make use of key ``feed_forward_length``

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

* llama: rwkv6: Add kv ``time_mix_extra_dim`` and ``time_decay_extra_dim``

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

* converter: Match ``new_name`` instead of ``name`` for float32 explicit tensors

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

* llama: rwkv6: Keep ``time_mix_w1/w2`` as F32

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

* llama: rwkv6: Remove unused nodes

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

* llama: rwkv6: Apply code format changes

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

* llama: rwkv6: Add lora for some supported tensors

Currently att.key/receptance/value/gate/output, ffn.receptance/key/value, as well as head.weight

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

* rwkv : speed-up tokenization using trie

* minor : style + indentation

* llama: rwkv6: Avoid division by zero

Co-authored-by: compilade <git@compilade.net>

* ggml: rwkv_wkv: Avoid copying the state

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

---------

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
Co-authored-by: Layl Bongers <3094382+LaylBongers@users.noreply.github.com>
Co-authored-by: compilade <git@compilade.net>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-09-01 17:38:17 +03:00
Srihari-mcw
ea5d7478b1
sgemm : improved Q4_0 and Q8_0 performance via 4xN and Mx4 gemm (#8908) 2024-08-31 11:20:35 +03:00
Faisal Zaghloul
42c76d1358
Threadpool: take 2 (#8672)
* Introduce ggml_compute_threadpool

- OpenMP functional: check
- Vanilla ggml functional: Check
- ggml w/threadpool functional: Check
- OpenMP no regression: No glaring problems
- Vanilla ggml no regression: No glaring problems
- ggml w/threadpool no regression: No glaring problems

* Minor fixes

* fixed use after release bug

* fixed a harmless race condition

* Fix Android bulid issue

* fix more race conditions

* fix deadlock for cases where cgraph.n_nodes == 1

and fix --poll case

* threadpool: use cpu_get_num_math to set the default number of threadpool threads

This way we avoid using E-Cores and Hyperthreaded siblings.

* bench: create fresh threadpool for each test

For benchmarking it's better to start a fresh pool for each test with the exact number of threads
needed for that test. Having larger pools is suboptimal (causes more load, etc).

* atomics: always use stdatomics with clang and use relaxed memory order when polling in ggml_barrier

This also removes sched_yield() calls from ggml_barrier() to match OpenMP behavior.

* threadpool: make polling the default to match openmp behavior

All command line args now allow for setting poll to 0 (false).

* threadpool: do not wakeup threads in already paused threadpool

* fix potential race condition in check_for_work

* threadpool: do not create two threadpools if their params are identical

* threadpool: reduce pause/resume/wakeup overhead in common cases

We now start threadpool in paused state only if we have two.
The resume is now implicit (ie new work) which allows for reduced locking and context-switch overhead.

* threadpool: add support for hybrid polling

poll params (--poll, ...) now specify "polling level", i.e. how aggresively we poll before waiting on cond.var.
poll=0 means no polling, 1 means poll for 128K rounds then wait, 2 for 256K rounds, ...

The default value of 50 (ie 50x128K rounds) seems like a decent default across modern platforms.
We can tune this further as things evolve.

* threadpool: reduce the number of barrier required

New work is now indicated with an atomic counter that is incremented for
each new graph that needs to be computed.
This removes the need for extra barrier for clearing the "new_work" and
removes the special case for trivial graphs.

* threadpool: remove special-casing for disposable threadpools

With the efficient hybrid polling there is no need to make disposable pools any different.
This simplifies the overall logic and reduces branching.

Include n_threads in debug print for disposable threadpool.

Declare pause and stop flags as atomic_bool
This doesn't actually generate any memory barriers and simply informs
the thread sanitizer that these flags can be written & read by different
threads without locking.

* threadpool: do not clear barrier counters between graphs computes (fixes race with small graphs)

This fixes the race condition with very small graphs where the main thread happens to
start a new graph while the workers are just about to exit from barriers.

* threadpool: use relaxed order for chunk sync

Full memory barrier is an overkill for this since each thread works on different chunk

* threadpool: remove abort_callback from threadpool state

* threadpool: better naming for thread/cpumask releated functions

* threadpool: consistent use of int type for n_threads params

* threadpool: add support for ggml_threadpool_params_default/init

Also removes the need for explicit mask_specified param.
all-zero cpumask means use default (usually inherited) cpu affinity mask.

* threadpool: move typedef into ggml.h

* threadpool: fix apply_priority() function name

* threadpool: fix swift wrapper errors due to n_threads int type cleanup

* threadpool: enable --cpu-mask and other threadpool related options only if threadpool is enabled

* threadpool: replace checks for compute_thread ret code with proper status check

* threadpool: simplify threadpool init logic and fix main thread affinity application

Most of the init code is now exactly the same between threadpool and openmp.

* threadpool: update threadpool resume/pause function names

* threadpool: enable openmp by default for now

* threadpool: don't forget to free workers state when omp is enabled

* threadpool: avoid updating process priority on the platforms that do not require it

On Windows we need to change overall process priority class in order to set thread priorities,
but on Linux, Mac, etc we do not need to touch the overall process settings.

* threadpool: update calling thread prio and affinity only at start/resume

This avoids extra syscalls for each graph_compute()

* llama-bench: turn threadpool params into vectors, add output headers, etc

* llama-bench: add support for cool off between tests --delay

This helps for long running tests on platforms that are thermally limited (phones, laptops, etc).
--delay (disabled by default) introduces the sleep for N seconds before starting each test.

* threadpool: move process priority setting into the apps (bench and cli)

This avoids changing the overall process priority on Windows for the apps
that use ggml/llama.cpp directy.

* threadpool: move all pause/resume logic into ggml

* threadpool: futher api cleanup and prep for future refactoring

All threadpool related functions and structs use ggml_threadpool prefix.

* threadpool: minor indent fixes

* threadpool: improve setprioty error message

* Update examples/llama-bench/llama-bench.cpp

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

* threadpool: fix indent in set_threadpool call

* use int32_t for n_thread type in public llama.cpp API

* threadpool: use _new and _free instead of _create and _release

* fix two more public APIs to use int32_t for n_threads

* build: set _GNU_SOURCE for Adroid

---------

Co-authored-by: Max Krasnyansky <quic_maxk@quicinc.com>
Co-authored-by: fmz <quic_fzaghlou@quic.com>
Co-authored-by: Max Krasnyansky <max.krasnyansky@gmail.com>
Co-authored-by: slaren <slarengh@gmail.com>
2024-08-30 01:20:53 +02:00
Georgi Gerganov
20f1789dfb vulkan : fix build (#0)
ggml-ci
2024-08-27 22:41:27 +03:00
Georgi Gerganov
231cff5f6f sync : ggml 2024-08-27 22:41:27 +03:00
slaren
7d787ed96c
ggml : do not crash when quantizing q4_x_x with an imatrix (#9192) 2024-08-26 19:44:43 +02:00
Georgi Gerganov
06658ad7c3
metal : separate scale and mask from QKT in FA kernel (#9189)
* metal : separate scale and mask from QKT in FA kernel

* metal : ne01 check no longer necessary

* metal : keep data in local memory
2024-08-26 18:31:02 +03:00
Georgi Gerganov
fc18425b6a
ggml : add SSM Metal kernels (#8546)
* ggml : add ggml_ssm_conv metal impl

* ggml : add ssm_scan metal impl

ggml-ci
2024-08-26 17:55:36 +03:00
slaren
0c41e03ceb
metal : gemma2 flash attention support (#9159) 2024-08-26 11:08:59 +02:00
Johannes Gäßler
e11bd856d5
CPU/CUDA: Gemma 2 FlashAttention support (#8542)
* CPU/CUDA: Gemma 2 FlashAttention support

* apply logit_softcap to scale in kernel

* disable logit softcapping tests on Metal

* remove metal check
2024-08-24 21:34:59 +02:00
Akarshan Biswas
11b84eb457
[SYCL] Add a space to supress a cmake warning (#9133) 2024-08-22 22:09:47 +08:00
luoyu-intel
1731d4238f
[SYCL] Add oneDNN primitive support (#9091)
* add onednn

* add sycl_f16

* add dnnl stream

* add engine map

* use dnnl for intel only

* use fp16fp16fp16

* update doc
2024-08-22 12:50:10 +08:00
compilade
a1631e53f6
llama : simplify Mamba with advanced batch splits (#8526)
* llama : advanced batch splits

This includes equal-sequence-length batch splits which are useful
to simplify recurrent model operators.

* llama : always make recurrent state slots contiguous

* ggml : simplify mamba operators

* llama : fix integer signedness mixing

* llama : logits_all has priority over batch->logits

Otherwise, the server embeddings tests failed.
This was likely an existing problem but was only detected here
because of an additional assertion.

* llama : apply suggestions

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

* llama : fix t5 segfault

* llama : fix Mamba session save and restore

* llama : minor cosmetic changes

* llama : rename llama_reorder_outputs to llama_output_reorder

Also move it closer to llama_output_reserve.

* llama : fix pooled embeddings when using batches with equal_seqs

* minor : add struct members for clarity

ggml-ci

* llama : fix T5 segfault again

* llama : fix Mamba pooled embeddings with multiple sequences

Until the pooled embeddings are refactored to allow splitting
across ubatches for causal embeddings,
recurrent models can only process a single sequence per ubatch
when calculating pooled embeddings.

* llama : add llama_model_is_recurrent to simplify figuring that out

This will make it easier to more cleanly support RWKV-v6 and Mamba-2.

* llama : fix simple splits when the batch contains embeddings

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-08-21 17:58:11 -04:00
Changyeon Kim
2f3c1466ff
llava: Add ACC OP for GPU acceleration to the Vulkan backend in the LLAVA CLIP model. (#8984)
* llava: Add ACC OP for GPU acceleration to the Vulkan backend in the LLAVA CLIP model.

- The CLIP model now prioritizes the Vulkan backend over the CPU when vulkan available.
- A GGML_OP_ACC shader has been added.
- The encoding performance of the CLIP model improved from 4.2s on the CPU to 0.9s on the GPU.

Signed-off-by: Changyeon Kim <cyzero.kim@samsung.com>

* fix-up coding style.

Signed-off-by: Changyeon Kim <cyzero.kim@samsung.com>

* Fix-up the missing initial parameter to resolve the compilation warning.

Signed-off-by: Changyeon Kim <cyzero.kim@samsung.com>

* [fix] Add missing parameters.

Signed-off-by: Changyeon Kim <cyzero.kim@samsung.com>

* [fix] Use nb1 and nb2 for dst.

Signed-off-by: Changyeon Kim <cyzero.kim@samsung.com>

* Fix check results ggml_acc call

---------

Signed-off-by: Changyeon Kim <cyzero.kim@samsung.com>
Co-authored-by: 0cc4m <picard12@live.de>
2024-08-20 21:00:00 +02:00
Meng, Hengyu
50addec9a5
[SYCL] fallback mmvq (#9088)
* fallback mmvq to mul_mat

* mmvq in cuda path

* Update ggml/src/ggml-sycl.cpp

Co-authored-by: Alberto Cabrera Pérez <alberto.cabrera@codeplay.com>

---------

Co-authored-by: Alberto Cabrera Pérez <alberto.cabrera@codeplay.com>
2024-08-20 23:50:17 +08:00
zhentaoyu
4f8d19ff17
[SYCL] Fix SYCL im2col and convert Overflow with Large Dims (#9052)
* sycl: fix im2col overflow and sync with cuda

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

* sycl: fix convert overflow

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

* sycl: fix convert and dequantize

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

* sycl: fix ib in dmmv

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

* sycl:refine convert

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

* sycl: move downsample global_range into common

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

* test: add im2col and convert test cases

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

* test: make new cases only in sycl

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

* test: comment new test_cases for only local testing

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

---------

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>
2024-08-20 23:06:51 +08:00
Radoslav Gerganov
1b6ff90ff8
rpc : print error message when failed to connect endpoint (#9042) 2024-08-19 10:11:45 +03:00
Radoslav Gerganov
18eaf29f4c
rpc : prevent crashes on invalid input (#9040)
Add more checks which prevent RPC server from crashing if invalid input
is received from client
2024-08-19 10:10:21 +03:00
Nico Bosshard
e3f6fd56b1
ggml : dynamic ggml_sched_max_splits based on graph_size (#9047)
* ggml : Dynamic ggml_sched_max_splits based on graph_size

* Fixed and readded debug code for causes
2024-08-16 04:22:55 +02:00
0cc4m
5fd89a70ea
Vulkan Optimizations and Fixes (#8959)
* Optimize Vulkan REPEAT performance

* Use Vulkan GLSL fused multiply-add instruction where possible

* Add GGML_VULKAN_PERF option to output performance data per operator

* Rework and fix Vulkan descriptor set and descriptor pool handling

* Fix float32 concat f16 shader validation error

* Add Vulkan GROUP_NORM eps parameter

* Fix validation error with transfer queue memory barrier flags

* Remove trailing whitespaces
2024-08-14 18:32:53 +02:00
Georgi Gerganov
43bdd3ce18
cmake : remove unused option GGML_CURL (#9011) 2024-08-14 09:14:49 +03:00
Daniel Bevenius
06943a69f6
ggml : move rope type enum to ggml.h (#8949)
* ggml : move rope type enum to ggml.h

This commit moves the `llama_rope_type` enum from `llama.h` to
`ggml.h` and changes its name to `ggml_rope_type`.

The motivation for this change is to address the TODO in `llama.h` and
use the enum in ggml.

Note: This commit does not change the `mode` parameter to be of type
`enum ggml_rope_type`. The name `mode` and its usage suggest that it
might be more generic and possibly used as a bit field for multiple
flags. Further investigation/discussion may be needed to determine
if `mode` should be restricted to RoPE types.

* squash! ggml : move rope type enum to ggml.h

This commit removes GGML_ROPE_TYPE_NONE and GGML_ROPE_TYPE_GLM from
ggml.h, and back the llama_rope_type enum.

I've kept the assert for GGML_ROPE_TYPE_GLM as I'm not sure if it is
safe to remove it yet.

* squash! ggml : move rope type enum to ggml.h

This commit removes the enum ggml_rope_type from ggml.h and replaces it
with a define (GGML_ROPE_TYPE_NEOX). This define is used in the code to
check if the mode is set to GPT-NeoX. Also the enum llama_rope_type has
been updated to reflect this change.

* squash! ggml : move rope type enum to ggml.h

This commit contains a suggestion enable the GGML_ROPE_TYPE_NEOX
macro/define to be passed to the shader compiler.

* squash! ggml : move rope type enum to ggml.h

This commit fixes the editorconfig-checker warnings.

* squash! ggml : move rope type enum to ggml.h

Update comment for ggml_rope function.

* Revert "squash! ggml : move rope type enum to ggml.h"

This reverts commit 6261222bd0.

* squash! ggml : move rope type enum to ggml.h

Add GGML_ROPE_TYPE_NEOX to rope_common.comp.

* remove extra line

---------

Co-authored-by: slaren <slarengh@gmail.com>
2024-08-13 21:13:15 +02:00
DavidKorczynski
df5478fbea
ggml: fix div-by-zero (#9003)
Fixes: https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=70724

In order to access the above bug you need to login using one of the
emails in
https://github.com/google/oss-fuzz/blob/master/projects/llamacpp/project.yaml#L3-L5

Signed-off-by: David Korczynski <david@adalogics.com>
2024-08-12 14:21:41 +02:00
Markus Tavenrath
7c5bfd57f8
Optimize Vulkan backend for better CPU performance and less GPU synchronization overhead. (#8943)
* Optimize Vulkan backend for better CPU performance and less GPU synchronization overhead.

- Allocation overhead for the temporary std::vectors was easily detectable with a sampling profiler and simple to remove.
- ggml_vk_sync_buffer introduce a full pipeline sync which has a significant cost on the GPU side, sometimes larger than the actual kernel execution. Adding only barriers for shader read/writes and transfers seems to be sufficient looking at the code which either launches compute kernels or copies tensors.

* Fix small typo

---------

Co-authored-by: 0cc4m <picard12@live.de>
2024-08-11 10:09:09 +02:00
slaren
6e02327e8b
metal : fix uninitialized abort_callback (#8968) 2024-08-10 15:42:10 +02:00
Georgi Gerganov
b72942fac9
Merge commit from fork 2024-08-09 23:03:21 +03:00
Matt Stephenson
70c0ea3560
whisper : use vulkan as gpu backend when available (whisper/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>
2024-08-09 10:03:44 +03:00
Borislav Stanimirov
f93d49ab1e
ggml : ignore more msvc warnings (ggml/906) 2024-08-08 13:19:31 +03:00
Georgi Gerganov
5b33ea1ee7
metal : fix struct name (ggml/912)
ggml-ci
2024-08-08 13:19:31 +03:00
Conrad Kramer
85fca8deb6
metal : add abort callback (ggml/905) 2024-08-08 13:19:30 +03:00
slaren
be55695eff
ggml-backend : fix async copy from CPU (#8897)
* ggml-backend : fix async copy from CPU

* cuda : more reliable async copy, fix stream used when the devices are the same
2024-08-07 13:29:02 +02:00
Ouadie EL FAROUKI
0478174d59
[SYCL] Updated SYCL device filtering (#8901)
* Updated device filter to depend on default_selector (fixes non-intel device issues)
* Small related update to example/sycl Readme
2024-08-07 11:25:36 +01:00
Johannes Gäßler
a8dbc6f753
CUDA/HIP: fix tests/test-backend-ops (#8896) 2024-08-07 09:07:52 +02:00
Johannes Gäßler
641f5dd2a6
CUDA: fix padding logic for FP16/FP32 (#8884) 2024-08-06 17:13:55 +02:00
Jaeden Amero
db20f50cf4
cmake : Link vulkan-shaders-gen with pthreads (#8835)
When using CMake to build with Vulkan support, compiling
vulkan-shaders-gen fails due to missing a CMakeLists.txt specification
to link vulkan-shaders-gen with the threading library, resulting in the
following error.

    [5/172] Linking CXX executable bin/vulkan-shaders-gen
    FAILED: bin/vulkan-shaders-gen
    : && /usr/bin/c++ ggml/src/vulkan-shaders/CMakeFiles/vulkan-shaders-gen.dir/vulkan-shaders-gen.cpp.o -o bin/vulkan-shaders-gen   && :
    ld: error: undefined symbol: pthread_create
    >>> referenced by vulkan-shaders-gen.cpp
    >>>               ggml/src/vulkan-shaders/CMakeFiles/vulkan-shaders-gen.dir/vulkan-shaders-gen.cpp.o:(std::__1::__libcpp_thread_create[abi:se180100](pthread**,
    >>>               void* (*)(void*), void*))
    c++: error: linker command failed with exit code 1 (use -v to see invocation)
    [6/172] Generating build details from Git
    -- Found Git: /usr/local/bin/git (found version "2.45.2")
    ninja: build stopped: subcommand failed.

Add the CMakeLists.txt specification to link vulkan-shaders-gen with the
threading library and fix the above error.

Fixes #8834
2024-08-06 15:21:47 +02:00
MaggotHATE
efda90c93a
[Vulkan] Fix compilation of vulkan-shaders-gen on w64devkit after e31a4f6 (#8880)
* Fix compilation issue in `vulkan-shaders-gen`

e31a4f6797 broke compilation on w64devkit. Including `algorithm` seems to fix that.

* Guard it under `#ifdef _WIN32`
2024-08-06 13:32:03 +02:00
Molly Sophia
2d5dd7bb3f
ggml : add epsilon as a parameter for group_norm (#8818)
Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
2024-08-06 10:26:46 +03:00
Mengqing Cao
c21a896405
[CANN]: Fix ggml_backend_cann_buffer_get_tensor (#8871)
* cann: fix ggml_backend_cann_buffer_get_tensor

 1. fix data ptr offset
 2. enable the acquisition of incomplete tensors

* fix backend cann set_tensor
2024-08-06 12:42:42 +08:00
wangshuai09
bc0f887e15
cann: fix buffer_num and runtime speed slowly error (#8865) 2024-08-05 21:10:37 +08:00
Justine Tunney
b9dfc25ca3
ggml : fix overflows in elu function (#8866)
It's helpful to use expm1f(x), because expf(x)-1 will result in overflow
for 25% of single-precision floating point numbers.
2024-08-05 15:43:40 +03:00
stduhpf
e31a4f6797
cmake: fix paths for vulkan shaders compilation on Windows (#8573)
* Vulkan-shaders: attempt fix compilation on windows

* fix miss-matched parenthesis
2024-08-05 08:18:27 +02:00
0cc4m
064cdc265f
vulkan : fix Qantized Mat-Vec Mul on AMD GPUs for ncols < 64 (#8855)
* Fix Vulkan mul mat vec invalid results when ncols < warp size

* Only run backend ops mul mat vec block size test if block size not already covered
2024-08-05 08:52:55 +03:00
0cc4m
a3738b2fa7 vulkan : implement Stable Diffusion operators (ggml/904)
* Fix Vulkan repeat op

* Implement Vulkan concat op

* Delete old Vulkan shader generator

* Implement Vulkan im2col op

* Implement Vulkan unary gelu_quick op

* Implement Vulkan group_norm op

* Implement Vulkan timestep_embedding op

* Implement Vulkan upscale op

* Fix Vulkan vk_context tensor extra index issue

* Fix Vulkan matmul shader parameter bug

* Properly fix Vulkan matmul shader parameter bug

* Add Vulkan ADD f16 + f32 -> f16 operator support

* Implement Vulkan tanh op

* Fix Vulkan group count too large Validation error on non-Nvidia GPUs

* Throw error when too much memory is requested

* Fix another Vulkan group count too large Validation error on non-Nvidia GPUs

* Fix matmul MMQ condition

* Implement Vulkan pad op

* Fix Vulkan crash when tensor is used multiple times in a compute graph

* Add Vulkan CONCAT f16 + f16 -> f16 op

* Add Vulkan LEAKY_RELU op
2024-08-05 08:50:57 +03:00
Daniel Bevenius
655858ace0 ggml : move c parameter comment to ggml_rope_ext (ggml/901)
This commit moves the comment for the c parameter from ggml_rope to
ggml_rope_ext. The comment is currently incorrect as ggml_rope does not
have a c parameter (freq_factors tensor).

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-08-05 08:50:57 +03:00
wangshuai09
c02b0a8a4d
cann: support q4_0 model (#8822) 2024-08-05 12:22:30 +08:00
jdomke
76614f352e
ggml : reading the runtime sve config of the cpu (#8709)
* ggml : reading the runtime sve config of the cpu

* change to one time init to prevent performance drop

* prefix variable to avoid possible conflicts

* revert xxhash fix and add brackets

---------

Co-authored-by: domke <673751-domke@users.noreply.gitlab.com>
2024-08-03 18:34:41 +02:00