Commit Graph

206 Commits

Author SHA1 Message Date
Daniel Bevenius
0b1b094a67 ggml : fix typo in example usage ggml_gallocr_new (ggml/984) 2024-10-05 15:23:51 +03:00
Diego Devesa
40e52a76b9 ggml : fixes after sync (ggml/983)
ggml : remove test-backend-buffer

ggml : fix CUDA build warnings
2024-10-05 15:23:51 +03:00
Diego Devesa
cf977670e6 ggml-backend : add device and backend reg interfaces (llama/9707)
Also:

- metal : fix compute pass descriptor autorelease crash
- ggml-backend : add device description to CPU backend
- ggml: unify backend logging mechanism
2024-10-05 15:23:51 +03:00
Ouadie EL FAROUKI
df2c364de7 Fixed dequant precision issues in Q4_1 and Q5_1 (llama/9711) 2024-10-05 15:23:51 +03:00
Diego Devesa
1acfadb721 ggml-backend : add device and backend reg interfaces (llama/9707)
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2024-10-05 15:23:51 +03:00
Alberto Cabrera Pérez
ea642144d2 Initial cmake support of SYCL for AMD GPUs (llama/9658)
sycl: initial cmake support of SYCL for AMD GPUs
2024-10-05 15:23:51 +03:00
Radoslav Gerganov
282a8654c4 vulkan : do not use tensor->extra (llama/9407)
* vulkan : do not use tensor->extra

This patch allows using the Vulkan backend with the RPC backend as
tensor->extra is no longer used.

Ref: #8536

* Adapt GGML_VULKAN_CHECK_RESULTS to extra removal (llama/2)

---------

Co-authored-by: 0cc4m <picard12@live.de>
2024-10-05 15:23:51 +03:00
Johannes Gäßler
936cf3beb7 ggml/ex: calculate accuracy in graph, adapt MNIST (ggml/980) 2024-10-05 15:23:51 +03:00
Johannes Gäßler
bc92c2f8f0 ggml: refactor cross entropy loss CPU impl. (ggml/976) 2024-10-05 15:23:51 +03:00
Georgi Gerganov
162a455402 metal : reduce command encoding overhead (llama/9698) 2024-10-03 12:22:17 +03:00
Johannes Gäßler
5e9d6baa48 test: fix OPT_STEP_ADAMW for test-backend-ops (ggml/974) 2024-10-03 12:22:17 +03:00
Salvatore Mesoraca
845f8d663e vulkan : mul_mat: fix UB with small warps (ggml/952)
When the device's warp size is less than 16,
it is possible for loadstride_a (mul_mm.comp:114)
and loadstride_b (mul_mm.comp:115) to be set to 0.
Because they are calculated as: the workgroup size,
multiplied by LOAD_VEC_* (which can be 1) and divided by 16.
And the workgroup size is set to be the same as the
warp/subgroup size.

The loadstride_* variables are used as increments in the
loops that populate the buffers used for the multiplication.

When they are 0 they cause an infinite loop.
But infinite loops without side-effects are UB and the
values of loadstride_* are known at compile time.
So, the compiler quietly optimizes all the loops away.
As a consequence, the buffers are not populated and
the multiplication result is just a matrix with all elements
set to 0.

We prevent the UB by making sure that the workgroup size
will never be less than 16, even if our device has a
smaller warp size (e.g. 8).

Signed-off-by: Salvatore Mesoraca <s.mesoraca16@gmail.com>
2024-10-03 12:22:17 +03:00
Borislav Stanimirov
31fdf05fda ggml : fix ggml_cast (ggml/973) 2024-10-03 12:22:17 +03:00
Johannes Gäßler
0ac6666cd2 ggml: fix gradient allocation logic (ggml/966)
* ggml: fix gradient allocation logic

* gradient allocation in ggml_build_backward_expand

* fixup

* fix test-backend-ops grad

* suggestions by slaren

* fix test1.c

* fix legacy opt API

* fix test-grad0

* remove keep arg
2024-10-03 12:22:17 +03:00
Georgi Gerganov
6c91da80b8 ggml : define missing HWCAP flags (llama/9684)
ggml-ci

Co-authored-by: Willy Tarreau <w@1wt.eu>
2024-10-03 12:22:17 +03:00
Dan Johansson
c245168ba3 ggml : add run-time detection of neon, i8mm and sve (llama/9331)
* ggml: Added run-time detection of neon, i8mm and sve

Adds run-time detection of the Arm instructions set features
neon, i8mm and sve for Linux and Apple build targets.

* ggml: Extend feature detection to include non aarch64 Arm arch

* ggml: Move definition of ggml_arm_arch_features to the global data section
2024-10-03 12:22:17 +03:00
Markus Tavenrath
280fee8fa0 Enable use to the rebar feature to upload buffers to the device. (llama/9251) 2024-10-03 12:22:17 +03:00
R0CKSTAR
78b4c1c25f mtgpu: enable VMM (llama/9597)
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2024-10-03 12:22:17 +03:00
Charles Xu
1edea2eb4b ggml : remove assert for AArch64 GEMV and GEMM Q4 kernels (llama/9217)
* ggml : remove assert for AArch64 GEMV and GEMM Q4 kernels

* added fallback mechanism when the offline re-quantized model is not
optimized for the underlying target.

* fix for build errors

* remove prints from the low-level code

* Rebase to the latest upstream
2024-10-03 12:22:17 +03:00
Dou Xinpeng
96808786b7 cann: fix crash when llama-bench is running on multiple cann devices (llama/9627) 2024-10-03 12:22:17 +03:00
Johannes Gäßler
bb57ecb85e CUDA: remove bad assert (ggml/972) 2024-10-03 12:22:17 +03:00
Jeff Bolz
abdb73c7cc vulkan : multithread pipeline creation (ggml/963) 2024-10-03 12:22:17 +03:00
Jeff Bolz
391e548a43 vulkan : fix build for GGML_VULKAN_RUN_TESTS, add TFLOPS to log (ggml/961) 2024-10-03 12:22:17 +03:00
Salvatore Mesoraca
2a29afd4c6 vulkan : argsort barriers must be under uniform control flow (ggml/951)
a return before a barrier (that happens only in some threads in
a workgroup) leads to UB.
While the old code actually works on some devices,
it fails on some others (i.e. "smaller" GPUs).

BTW, I think it would be better to set specialization constants
when the graph is built, in that way the local workgroup
could be sized appropriately.
But it would take a lot of work.

Signed-off-by: Salvatore Mesoraca <s.mesoraca16@gmail.com>
2024-10-03 12:22:17 +03:00
Georgi Gerganov
5963004ff9 ggml : fix GGML_MAX_N_THREADS + improve formatting (ggml/969) 2024-10-03 12:22:17 +03:00
Georgi Gerganov
1133ac98a8 ggml : add ggml-cpu-impl.h (skip) (#0) 2024-09-24 19:45:08 +03:00
Eric Zhang
234f9bd320 ggml : add AVX512DQ requirement for AVX512 builds (llama/9622) 2024-09-24 19:45:08 +03:00
Georgi Gerganov
3b183cfae7 log : add CONT level for continuing previous log entry (llama/9610) 2024-09-24 19:45:08 +03:00
Max Krasnyansky
02285dff81 threads: fix msvc build without openmp (llama/9615)
We're missing atomic_thread_fence() in MSVC builds when openmp is disabled.
2024-09-24 19:45:08 +03:00
Ivan
2fc1d20f9e cuda: add q8_0->f32 cpy operation (llama/9571)
llama: enable K-shift for quantized KV cache
It will fail on unsupported backends or quant types.
2024-09-24 19:45:08 +03:00
Max Krasnyansky
08e8414f27 threads: improve ggml_barrier scaling with large number of threads (llama/9598)
Make sure n_barrier and n_barrier_passed do not share the cache line to avoid cache line bouncing.
This optimization shows performance improvements even for n_threads <= 8 cases.

Resurect TSAN (Thread Sanitizer) check so that we can avoid doing expensive read-modify-write
in the normal case and just use thread-fence as originally intended.
2024-09-24 19:45:08 +03:00
Srihari-mcw
05c6139625 ggml : AVX512 gemm for Q4_0_8_8 (llama/9532)
* AVX512 version of ggml_gemm_q4_0_8x8_q8_0

* Remove zero vector parameter passing

* Rename functions and rearrange order of macros

* Edit commments

* style : minor adjustments

* Update x to start from 0

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-09-24 19:45:08 +03:00
Georgi Gerganov
896c41ef30 metal : use F32 prec for K*Q in vec FA (llama/9595)
ggml-ci
2024-09-24 19:45:08 +03:00
Akarshan Biswas
c36ddc43c6 Revert "[SYCL] fallback mmvq (ggml/9088)" (llama/9579)
This reverts commit 50addec9a532a6518146ab837a85504850627316.
2024-09-24 19:45:08 +03:00
R0CKSTAR
13f41af43e musa: enable building fat binaries, enable unified memory, and disable Flash Attention on QY1 (MTT S80) (llama/9526)
* mtgpu: add mp_21 support

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* mtgpu: disable flash attention on qy1 (MTT S80); disable q3_k and mul_mat_batched_cublas

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* mtgpu: enable unified memory

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* mtgpu: map cublasOperation_t to mublasOperation_t (sync code to latest)

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

---------

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2024-09-24 19:45:08 +03:00
Molly Sophia
3fc5306b82 Fix merge error in #9454 (llama/9589)
Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
2024-09-24 19:45:08 +03:00
Johannes Gäßler
adf2474b10 CUDA: enable Gemma FA for HIP/Pascal (llama/9581) 2024-09-24 19:45:08 +03:00
Molly Sophia
008816a257 RWKV v6: RWKV_WKV op CUDA implementation (llama/9454)
* ggml: CUDA unary op EXP

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

* ggml: rwkv_wkv op CUDA impl

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

---------

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
2024-09-24 19:45:08 +03:00
slaren
33e5a6612e ggml-alloc : fix list of allocated tensors with GGML_ALLOCATOR_DEBUG (llama/9573) 2024-09-24 19:45:08 +03:00
agray3
f0a7d65b3d Update CUDA graph on scale change plus clear nodes/params (llama/9550)
* Avoid using saved CUDA graph if scale changes and reset nodes/params on update

Fixes https://github.com/ggerganov/llama.cpp/issues/9451

* clear before resize
2024-09-24 19:45:08 +03:00
Georgi Gerganov
54e5095765 examples : adapt to ggml.h changes (ggml/0)
ggml-ci
2024-09-24 19:45:08 +03:00
Georgi Gerganov
34291099fb ggml : refactoring (llama/#0)
- d6a04f87
- 23e0d70b
2024-09-24 19:45:08 +03:00
Georgi Gerganov
d245d7aec7 ggml : fix builds (llama/0)
ggml-ci
2024-09-24 19:45:08 +03:00
Georgi Gerganov
d661283e68 ggml : fix trailing whitespace (llama/0)
ggml-ci
2024-09-24 19:45:08 +03:00
Johannes Gäßler
c0761c95f5 CUDA: fix sum.cu compilation for CUDA < 11.7 (llama/9562) 2024-09-24 19:45:08 +03:00
slaren
138e20b697 ggml : fix n_threads_cur initialization with one thread (llama/9538)
* ggml : fix n_threads_cur initialization with one thread

* Update ggml/src/ggml.c

---------

Co-authored-by: Max Krasnyansky <quic_maxk@quicinc.com>
2024-09-24 19:45:08 +03:00
Max Krasnyansky
a8d9abfa22 threadpool : skip polling for unused threads (llama/9461)
* threadpool: skip polling for unused threads

Currently all threads do N polling rounds even if only 1 thread is active (n_threads_cur == 1).
This commit adds a check to skip the polling for unused threads (ith >= n_threads_cur).

n_threads_cur is now an atomic_int to explicitly tell thread sanitizer that it is written
from one thread and read from other threads (not a race conditions).

* threadpool: further simplify and improve ggml_barrier

Avoid using strict memory order while polling, yet make sure that all threads go through
full memory barrier (memory fence) on ggml_barrier entrace and exit.

* threads: add simple barrier test

This test does lots of small, parallel matmul ops where the barriers in between dominate the overhead.

* threadpool: improve thread sync for new-graphs

Using the same tricks as ggml_barrier. All the polling is done with relaxed memory order
to keep it efficient, once the new graph is detected we do full fence using read-modify-write
with strict memory order.

* threadpool: improve abort handling

Do not use threadpool->ec (exit code) to decide whether to exit the compute loop.
threadpool->ec is not atomic which makes thread-sanitizer rightfully unhappy about it.

Instead introduce atomic threadpool->abort flag used for this. This is consistent with
how we handle threadpool->stop or pause.

While at it add an explicit atomic_load for n_threads_cur for consistency.

* test-barrier: release threadpool before releasing the context

fixes use-after-free detected by gcc thread-sanitizer on x86-64
for some reason llvm sanitizer is not detecting this issue.
2024-09-24 19:45:08 +03:00
Michael Podvitskiy
195afd6dc1 ggml : link MATH_LIBRARY not by its full path (llama/9339) 2024-09-24 19:45:08 +03:00
Georgi Gerganov
1fd78999e8 cmake : do not hide GGML options + rename option (llama/9465)
* cmake : do not hide GGML options

ggml-ci

* build : rename flag GGML_CUDA_USE_GRAPHS -> GGML_CUDA_GRAPHS

for consistency

ggml-ci
2024-09-24 19:45:08 +03:00
Eve
374e9e0c5e ggml : IQ4_NL sgemm + Q4_0 AVX optimization (llama/9422)
* squashed

readd my iq4_nl sgemm PR https://github.com/ggerganov/llama.cpp/pull/8049

have ggml_vec_dot_q4_0 do two blocks per loop for avx

try out f16c ggml_vec_dot_iq4_nl, but it's not really faster. as per https://github.com/ggerganov/llama.cpp/pull/8549 we can calculate several blocks at a time with no issue

* shuffle

* remove f16c iq4_nl as i cant make it faster than before
2024-09-24 19:45:08 +03:00