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Author SHA1 Message Date
Georgi Gerganov
1133ac98a8 ggml : add ggml-cpu-impl.h (skip) (#0) 2024-09-24 19:45:08 +03:00
Georgi Gerganov
76d27eec9a sync : ggml 2024-09-24 19:45:08 +03:00
Georgi Gerganov
fe18c29ab8 talk-llama : sync llama.cpp 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
Georgi Gerganov
a2cb5b4183 metal : handle zero-sized allocs (llama/9466) 2024-09-24 19:45:08 +03:00
Georgi Gerganov
288ae5176e common : reimplement logging (llama/9418) 
https://github.com/ggerganov/llama.cpp/pull/9418
 2024-09-24 19:45:08 +03:00
Michael Podvitskiy
d868122a5a cmake : correct order of sycl flags (llama/9497) 2024-09-24 19:45:08 +03:00
Michael Podvitskiy
2ba25fb122 cmake : try to fix sycl+intel build (llama/9487) 2024-09-24 19:45:08 +03:00
Yuri Khrustalev
4f4687cb74 ggml : ggml_type_name return "NONE" for invalid values (llama/9458) 
When running on Windows, the quantization utility attempts to print the types that are not set which leads to a crash.
 2024-09-24 19:45:08 +03:00
Georgi Gerganov
66b00fad0d cmake : use list(APPEND ...) instead of set() + dedup linker (llama/9463) 
* cmake : use list(APPEND ...) instead of set() + dedup linker

ggml-ci

* cmake : try fix sycl

* cmake : try to fix sycl 2

* cmake : fix sycl build (llama/9469)

* try fix sycl build

* use CMAKE_CXX_FLAGS as a string variable

---------

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

* one more CMAKE_CXX_FLAGS fix (llama/9471)

---------

Co-authored-by: Michael Podvitskiy <podvitskiymichael@gmail.com>
 2024-09-24 19:45:08 +03:00
Dou Xinpeng
c6cc8d16c3 cann: Add host buffer type for Ascend NPU (llama/9406) 
* feat: Add host buffer type for Ascend NPU(CANN backend)

* fix some checking errors

* Add a few comments
 2024-09-24 19:45:08 +03:00
Ahmad Tameem
3f8f8a78a2 riscv : modify Makefile and add a RISCV_VECT to print log info (llama/9442) 
- Added ggml_cpu_has_riscv_v() in GGML to print system info in log
- Modified Makefile to only use flag when cross compiling for RISC-V
 2024-09-24 19:45:08 +03:00
Xinpeng Dou
3e47686919 cann: Fix error when running a non-exist op (llama/9424) 2024-09-24 19:45:08 +03:00
Johannes Gäßler
a53b69a003 CUDA: fix --split-mode row race condition (llama/9413) 2024-09-24 19:45:08 +03:00
R0CKSTAR
d1c9b47360 musa: remove Clang builtins mapping (llama/9421) 
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
 2024-09-24 19:45:08 +03:00
Alberto Cabrera Pérez
32f659861a sycl : update support conditions (llama/9394) 
* sycl : update support condition to im2col

Signed-off-by: Alberto Cabrera <alberto.cabrera@codeplay.com>

* Added TODO to remind supporting FP32 im2col

---------

Signed-off-by: Alberto Cabrera <alberto.cabrera@codeplay.com>
 2024-09-24 19:45:08 +03:00
Georgi Gerganov
a785232bf9 metal : fix compile warning with GGML_METAL_NDEBUG (llama/0) 2024-09-24 19:45:08 +03:00
Radoslav Gerganov
0677293503 rpc : fix segfault with nkvo (llama/9389) 
* rpc : fix nkvo

* rpc : buf_size must not be static

ref: #9337

---------

Co-authored-by: slaren <slarengh@gmail.com>
 2024-09-24 19:45:08 +03:00
Prashant Vithule
1fbdb813c0 ggml : vector length agnostic SVE support (llama/9290) 
* Implemented vector length agnostic SVE using switch case for 512-bit, 256-bit, 128-bit vector lengths

* Implemented vector length agnostic SVE using switch case for 512-bit, 256-bit, 128-bit vector lengths

* Removed WhiteSpaces

* ggml : style changes + fix 512-bit nb loop check

- fix local scope in switch cases
- consistent predicate names
- empty lines when necessary
- opening braces, spaces
- const-correctness
- add asserts

* Update ggml/src/ggml-quants.c

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

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-09-24 19:45:08 +03:00
Johannes Gäßler
67725ac8f3 CUDA: fix variable name conflict for Windows build (llama/9382) 2024-09-24 19:45:08 +03:00
Markus Tavenrath
dac89af357 Overlap cmdbuffer creation and cmdbuffer execution in Vulkan backend by submitting smaller cmdbuffers early. (llama/9118) 
* Overlap cmdbuffer creation and cmdbuffer execution in Vulkan backend by submitting smaller cmdbuffers early.

* fix compile issues

* Fix issues where the last submit wasn't executed or handled properly.

* remove trailing whitespace

* Repair GGML_VULKAN_CHECK_RESULTS

* Increase submit counter only if actual work has been submitted and increase submit count to 100.

* Fix some nodes are not checked with GGML_VULKAN_CHECK_RESULTS enabled.
 2024-09-24 19:45:08 +03:00
Georgi Gerganov
26225f1fb0 cuda : fix FA Q src index (1 -> 0) (llama/9374) 2024-09-24 19:45:08 +03:00
Neo Zhang Jianyu
3468983315 add check malloc result on device (llama/9346) 
* add check malloc result on device

* update for review comments, check all malloc_device() result

---------

Co-authored-by: arthw <14088817+arthw@users.noreply.github.com>
 2024-09-24 19:45:08 +03:00
Johannes Gäßler
c7515b0995 ggml/examples: add backend support for numerical optimization (ggml/949) 
* CUDA eval works

* stochastic gradient descent op

* Adam except decay

* CUDA CROSS_ENTROPY_LOSS_BACK

* CUDA mnist-fc training works

* backend CLI arg

* refactor gguf load

* remove sched from opt_step_adam

* implement l1 regularization (weight decay)

* extra call to add optimizer

* initialize gradients with ggml_graph_reset

* gradient accumulation

* increment iter per eval instead of epoch

* adjust backend interfaces

* fix ggml_graph_reset without backend

* fix ggml graph export/import

* fixup

* rename

* revert ggml_opt changes

* more general CUDA repeat_back

* update documentation, fix CNN

* validation split

* add clarifying comment

* optimize PyTorch training

* adjust buffer size, thread count

* fix 0.0f validation split

* Update examples/mnist/mnist-common.cpp

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

* fix gradient accumulation

* tensor flag for accumulators -> tensor hash set

* Update include/ggml.h

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

* Update tests/test-backend-ops.cpp

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

* Update tests/test-backend-ops.cpp

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

* fix test prints

* Update src/ggml-backend.c

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

* better CUDA support for noncontiguous out_prod

* add comment

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: slaren <slarengh@gmail.com>
 2024-09-24 19:45:08 +03:00
Georgi Gerganov
253ce30004 examples : add null threadpool args where needed (ggml/0) 
ggml-ci
 2024-09-24 19:45:08 +03:00
Georgi Gerganov
03a6fae484 metal : update support condition for im2col + fix warning (llama/0) 2024-09-24 19:45:08 +03:00
slaren
d37fd275fd ggml : always check bounds on get_rows operations (llama/9354) 2024-09-24 19:45:08 +03:00