Diego Devesa
5931c1f233
ggml : add support for dynamic loading of backends ( #10469 )
...
* ggml : add support for dynamic loading of backends
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-11-25 15:13:39 +01:00
Diego Devesa
a5e47592b6
cuda : optimize argmax ( #10441 )
...
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* cuda : optimize argmax
* remove unused parameter
ggml-ci
* fixup : use full warps
ggml-ci
* Apply suggestions from code review
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
* fix ub
* ggml : check ne00 <= INT32_MAX in argmax and argsort
---------
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2024-11-21 18:18:50 +01:00
Johannes Gäßler
02e4eaf22f
ggml-opt: fix data corruption (ggml/1022)
2024-11-21 09:22:02 +02:00
Georgi Gerganov
68fcb4759c
ggml : fix compile warnings ( #0 )
...
ggml-ci
2024-11-17 08:30:29 +02:00
Johannes Gäßler
8a43e940ab
ggml: new optimization interface (ggml/988)
2024-11-17 08:30:29 +02:00
slaren
883d206fbd
ggml : fix some build issues
2024-11-15 21:45:32 +02:00
Diego Devesa
ae8de6d50a
ggml : build backends as libraries ( #10256 )
...
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* ggml : build backends as libraries
---------
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: R0CKSTAR <xiaodong.ye@mthreads.com>
2024-11-14 18:04:35 +01:00
Georgi Gerganov
841f27abdb
metal : optimize FA kernels ( #10171 )
...
* ggml : add ggml_flash_attn_ext_get_prec
* metal : use F16 precision in FA kernels
ggml-ci
* metal : minor clean-up
* metal : compile-guard bf16 FA kernels
ggml-ci
* build : remove obsolete compile flag [no ci]
* metal : prevent int overflows [no ci]
* cuda : disable BF16 FA
ggml-ci
* metal : fix BF16 requirement for FA kernels
ggml-ci
* make : clean-up [no ci]
2024-11-08 13:47:22 +02:00
Zhiyuan Li
3bcd40b3c5
Optimize RWKV6 Operator Naming and Implement Multi-core CPU/ SYCL Acceleration ( #10133 )
...
* rwkv6: rename to wkv6
* rwkv6: support avx2 avx512 armv8 armv9
* rwkv6: update cuda file name
* rwkv6: rename params
* wkv on sycl
* sycl: add some ops
* sycl: Enhance OP support judgment
* wkv6: drop armv9 and tranfer to GGML style
ggml-ci
* sync : ggml
* update the function to use appropriate types
* fix define error
* Update ggml/src/ggml-cpu.c
* add appropriate asserts
* move element-wise functions outside
* put the declaration outside the loop
* rewrite to be more inline with the common pattern for distributing threads
* use recommended way GGML_TENSOR_LOCALS
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Diego Devesa <slarengh@gmail.com>
Co-authored-by: Plamen Minev <pacominev@gmail.com>
Co-authored-by: Yuri Khrustalev <ykhrustalev@users.noreply.github.com>
Co-authored-by: Meng, Hengyu <airdldl@163.com>
2024-11-07 15:19:10 +08:00
Georgi Gerganov
1dc04b2dee
ggml : adjust is_first_call init value ( #10193 )
...
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2024-11-06 11:20:10 +02:00
Diego Devesa
a9e8a9a030
ggml : fix arch check in bf16_to_fp32 ( #10164 )
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2024-11-04 23:17:01 +01:00
Diego Devesa
401558b7ba
ggml : fix q4xx mat mul, increase ggml_aligned_malloc alignment ( #10167 )
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2024-11-04 17:34:08 +01:00
Diego Devesa
9f40989351
ggml : move CPU backend to a separate file ( #10144 )
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2024-11-03 19:34:08 +01:00
Georgi Gerganov
1804adb0cf
ggml : remove ggml_scratch ( #10121 )
...
ggml-ci
2024-11-01 12:58:45 +02:00
Georgi Gerganov
f221d56220
ggml : alloc ggml_contexts on the heap (whisper/2525)
2024-11-01 10:24:50 +02:00
Diego Devesa
c02e5ab2a6
llama : fix buffer checks for mamba and rwk ( #10111 )
...
* llama : fix buffer checks for mamba and rwk
* llama : fix missing worst case flag during reserve
* cuda : fix supports_op for norm
* disable sched SET_CAUSE
2024-10-31 22:54:23 +01:00
Diego Devesa
dea5e86051
ggml : check tensor name lengths in gguf files ( #10100 )
2024-10-31 11:40:59 +01:00
Diego Devesa
b9e02e8184
ggml : fix memory leaks when loading invalid gguf files ( #10094 )
...
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* ggml : fix gguf string leak when reading kv pairs fails
* ggml : avoid crashing with GGML_ABORT when the KV has an invalid type
* ggml : avoid crashing on failed memory allocations when loading a gguf file
2024-10-30 14:51:21 +01:00
Diego Devesa
c5b0f4b5d9
llama : refactor model loader with backend registry ( #10026 )
2024-10-30 02:01:23 +01:00
Johannes Gäßler
c39665f589
CUDA: fix MMQ for non-contiguous src0, add tests ( #10021 )
...
* CUDA: fix MMQ for non-contiguous src0, add tests
* revise test code
2024-10-24 11:09:36 +02:00
Daniel Bevenius
c19af0acb1
ggml : remove redundant set of contexts used field (ggml/978)
...
This commit removes the setting of the `used` field of the contexts in
the global state (g_state) in `ggml_init`.
The motivation for this change is that I believe that this additional
initialization might not be required after the changes in Commit
45fc4fed0b9fb5b1af4a8525cbebb95e11208732 ("sync : latest changes from
whisper.cpp"), which changed the initialization of the contexts field
from `{ 0 }` to `{ { 0 } }`:
```console
g_state = (struct ggml_state) {
- /*.contexts =*/ { 0 },
+ /*.contexts =*/ { { 0 } },
};
```
My understanding is that the `{0}` initialization might not have
zero-initialized all the nested fields in every array element because of
compiler differences, and might have been the reason for having the
explicit setting of the `used` fields to false.
2024-10-23 16:50:02 +03:00
Georgi Gerganov
f594bc80ba
ggml : add asserts for type conversion in fattn kernels ( #9971 )
...
ggml-ci
2024-10-21 16:20:46 +03:00
Ma Mingfei
60ce97c9d8
add amx kernel for gemm ( #8998 )
...
add intel amx isa detection
add vnni kernel for gemv cases
add vnni and amx kernel support for block_q8_0
code cleanup
fix packing B issue
enable openmp
fine tune amx kernel
switch to aten parallel pattern
add error message for nested parallelism
code cleanup
add f16 support in ggml-amx
add amx kernels for QK_K quant formats: Q4_K, Q5_K, Q6_K and IQ4_XS
update CMakeList
update README
fix some compilation warning
fix compiler warning when amx is not enabled
minor change
ggml-ci
move ggml_amx_init from ggml.c to ggml-amx/mmq.cpp
ggml-ci
update CMakeLists with -mamx-tile, -mamx-int8 and -mamx-bf16
ggml-ci
add amx as an ggml-backend
update header file, the old path for immintrin.h has changed to ggml-cpu-impl.h
minor change
update CMakeLists.txt
minor change
apply weight prepacking in set_tensor method in ggml-backend
fix compile error
ggml-ci
minor change
ggml-ci
update CMakeLists.txt
ggml-ci
add march dependency
minor change
ggml-ci
change ggml_backend_buffer_is_host to return false for amx backend
ggml-ci
fix supports_op
use device reg for AMX backend
ggml-ci
minor change
ggml-ci
minor change
fix rebase
set .buffer_from_host_ptr to be false for AMX backend
2024-10-18 13:34:36 +08:00
Gilad S.
73afe681aa
fix: use vm_allocate
to allocate CPU backend buffer on macOS ( #9875 )
...
* fix: use `vm_allocate` to allocate CPU backend buffer on macOS
* fix: switch to `posix_memalign` to keep existing `free()` usages work
* feat: move `GGML_ALIGNED_MALLOC` to `ggml-backend-impl.h`, add support for `vm_allocate` on macOS
* style: formatting
* fix: move const outside of `#ifndef`
* style: formatting
* fix: unused var
* fix: transform `GGML_ALIGNED_MALLOC` and `GGML_ALIGNED_FREE` into functions and add them to `ggml-impl.h`
* fix: unused var
* fix: page align to `GGUF_DEFAULT_ALIGNMENT`
* fix: page align to `TENSOR_ALIGNMENT`
* fix: convert `TENSOR_ALIGNMENT` to a macro
* fix: increase page size to `32` on iOS
* fix: iOS page size
* fix: `hbw_posix_memalign` alignment
2024-10-17 00:36:51 +02:00
Diego Devesa
dca1d4b58a
ggml : fix BLAS with unsupported types ( #9775 )
...
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* ggml : do not use BLAS with types without to_float
* ggml : return pointer from ggml_internal_get_type_traits to avoid unnecessary copies
* ggml : rename ggml_internal_get_type_traits -> ggml_get_type_traits
it's not really internal if everybody uses it
2024-10-08 14:21:43 +02:00
Johannes Gäßler
fabdc3bda3
ggml/ex: calculate accuracy in graph, adapt MNIST (ggml/980)
2024-10-03 21:17:26 +03:00
Johannes Gäßler
eee39bdc96
ggml: refactor cross entropy loss CPU impl. (ggml/976)
2024-10-03 21:17:26 +03:00
bandoti
d6fe7abf04
ggml: unify backend logging mechanism ( #9709 )
...
* Add scaffolding for ggml logging macros
* Metal backend now uses GGML logging
* Cuda backend now uses GGML logging
* Cann backend now uses GGML logging
* Add enum tag to parameters
* Use C memory allocation funcs
* Fix compile error
* Use GGML_LOG instead of GGML_PRINT
* Rename llama_state to llama_logger_state
* Prevent null format string
* Fix whitespace
* Remove log callbacks from ggml backends
* Remove cuda log statement
2024-10-03 17:39:03 +02:00
Diego Devesa
c83ad6d01e
ggml-backend : add device and backend reg interfaces ( #9707 )
...
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Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2024-10-03 01:49:47 +02:00
Johannes Gäßler
e98c1c188e
test: fix OPT_STEP_ADAMW for test-backend-ops (ggml/974)
2024-10-01 16:07:40 +03:00
Borislav Stanimirov
6c5322481a
ggml : fix ggml_cast (ggml/973)
2024-10-01 16:07:39 +03:00
Johannes Gäßler
7254cdf7e8
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
2024-10-01 16:07:38 +03:00
Georgi Gerganov
c919d5db39
ggml : define missing HWCAP flags ( #9684 )
...
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ggml-ci
Co-authored-by: Willy Tarreau <w@1wt.eu>
2024-09-29 21:18:23 +03:00
Dan Johansson
6a0f779484
ggml : add run-time detection of neon, i8mm and sve ( #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
2024-09-28 15:06:16 +03:00
Georgi Gerganov
c038931615
examples : adapt to ggml.h changes (ggml/0)
...
ggml-ci
2024-09-24 11:00:52 +03:00
Max Krasnyansky
c087b6f11d
threads: fix msvc build without openmp ( #9615 )
...
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We're missing atomic_thread_fence() in MSVC builds when openmp is disabled.
2024-09-23 21:18:48 -07:00
Max Krasnyansky
f0c7b5edf8
threads: improve ggml_barrier scaling with large number of threads ( #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.
---
Here is the original description and suggestions from Willy Tarreau :
There's currently some false sharing between n_barrier and
n_barrier_passed that is amplified in ggml_barrier() by the fact that
all threads need to increment n_barrier when entering, while all
previous threads continue to read n_barrier_passed, waiting for the last
one to release them all. The side effect is that all these readers are
slowing down all new threads by making the cache line bounce back and
forth between readers and writers.
Just placing them in two distinct cache lines is sufficient to boost
the performance by 21% on a 80-core ARM server compared to the
no-openmp version, and by 3% compared to the openmp version.
Note that the variables could have been spread apart in the structure
as well, but it doesn't seem that the size of this threadpool struct is
critical so here we're simply aligning them.
Finally, the same issue was present when leaving the barrier since all
threads had to update the n_barrier_passed counter, though only one
would add a non-zero value. This alone is responsible for half of the
cost due to undesired serialization.
It might be possible that using a small array of n_barrier counters
could make things even faster on many-core systems, but it would likely
complicate the logic needed to detect the last thread.
Co-authored-by: Willy Tarreau <w@1wt.eu>
2024-09-23 11:42:43 -07:00
Johannes Gäßler
424c5d00a9
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>
2024-09-20 21:15:05 +03:00
Georgi Gerganov
a6809c6a2e
examples : add null threadpool args where needed (ggml/0)
...
ggml-ci
2024-09-20 21:15:05 +03:00
slaren
64c6af3195
ggml : fix n_threads_cur initialization with one thread ( #9538 )
...
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* ggml : fix n_threads_cur initialization with one thread
* Update ggml/src/ggml.c
---------
Co-authored-by: Max Krasnyansky <quic_maxk@quicinc.com>
2024-09-18 10:13:08 -07:00
Max Krasnyansky
0226613853
threadpool : skip polling for unused threads ( #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.
2024-09-17 11:19:46 +03:00
slaren
23e0d70bac
ggml : move common CPU backend impl to new header ( #9509 )
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2024-09-16 16:22:07 +02:00
Yuri Khrustalev
822b6322de
ggml : ggml_type_name return "NONE" for invalid values ( #9458 )
...
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When running on Windows, the quantization utility attempts to print the types that are not set which leads to a crash.
2024-09-14 12:54:37 +03:00
Ahmad Tameem
2b00fa7997
riscv : modify Makefile and add a RISCV_VECT to print log info ( #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
2024-09-12 14:24:31 +03:00
Georgi Gerganov
d6a04f872d
ggml : hide ggml_object, ggml_cgraph, ggml_hash_set ( #9408 )
...
* ggml : hide ggml_object, ggml_cgraph, ggml_hash_set
ggml-ci
* ggml : add ggml-impl.h to backends
* ggml : fix compiler warnings
ggml-ci
* ggml : add assert upon adding nodes
2024-09-12 14:23:49 +03:00
Radoslav Gerganov
293bebe077
rpc : fix segfault with nkvo ( #9389 )
...
* rpc : fix nkvo
* rpc : buf_size must not be static
ref: #9337
---------
Co-authored-by: slaren <slarengh@gmail.com>
2024-09-09 18:40:10 +03:00
Johannes Gäßler
202084d31d
tests: add gradient tests for all backends (ggml/932)
...
* tests: add gradient checking to test-backend-ops
* remove old comment
* reorder includes
* adjust SIN/COS parameters
* add documentation, use supports_op if possible
2024-09-08 11:05:55 +03:00
Johannes Gäßler
dbbebcab33
ggml: fix ggml_graph_cpy undefined behavior (ggml/943)
2024-09-08 11:05:55 +03:00
Salvatore Mesoraca
efe6a83e30
ggml : fix cont with transposed tensors when one dimension is 1 (ggml/934)
...
* ggml_cont: fix issue with transposed tensors when one dimension is 1
when using multiple threads, it is not enough
to check for the tensors to be contiguous for
ggml_compute_forward_dup_same_cont to work correctly.
The tensors strides also need to match.
Signed-off-by: Salvatore Mesoraca <s.mesoraca16@gmail.com>
* Add ggml_cont tests
Signed-off-by: Salvatore Mesoraca <s.mesoraca16@gmail.com>
* Remove dead code
it isn't possible to reach this code because
all these functions are invoked by ggml_compute_forward_dup
if and only if src0->type != dst->type
Signed-off-by: Salvatore Mesoraca <s.mesoraca16@gmail.com>
* Make ggml_compute_forward_dup_same_cont work with contiguous tensors
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Signed-off-by: Salvatore Mesoraca <s.mesoraca16@gmail.com>
---------
Signed-off-by: Salvatore Mesoraca <s.mesoraca16@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-09-08 11:05:55 +03:00
slaren
e32d0816ed
ggml : always check bounds on get_rows operations ( #9354 )
2024-09-07 20:23:07 +02:00