Georgi Gerganov
08828a6d7d
metal : minor fixup in FA kernel ( #10143 )
...
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* metal : minor fixup in FA kernel
ggml-ci
* metal : use the unrolled loop variable
* metal : remove unused var
2024-11-03 15:18:40 +02:00
Diego Devesa
a6744e43e8
llama : add simple-chat example ( #10124 )
...
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* llama : add simple-chat example
---------
Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
2024-11-01 23:50:59 +01:00
Diego Devesa
e991e3127f
llama : use smart pointers for ggml resources ( #10117 )
2024-11-01 23:48:26 +01:00
Shupei Fan
418f5eef26
vulkan : improve ggml_vk_create_buffer error handling ( #9898 )
2024-11-01 19:33:14 +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
Zhenwei Jin
e597e50794
build: fix build error in Windows env with OneAPI setup ( #10107 )
2024-11-01 11:09:59 +08:00
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
Sergio López
1329c0a75e
kompute: add mul_mat_q4_k shader ( #10097 )
...
This is a more or less direct translation from the Metal implementation
to GLSL.
Signed-off-by: Sergio Lopez <slp@redhat.com>
2024-10-31 11:09:52 +02:00
Sergio López
61408e7fad
kompute: add backend registry / device interfaces ( #10045 )
...
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Get in line with the other backends by supporting the newer
backend/device registry interfaces.
Signed-off-by: Sergio Lopez <slp@redhat.com>
2024-10-30 17:01:52 +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
xctan
fc83a9e584
ggml : add Q4_0_8_8 RISC-V GEMV and GEMM kernels ( #10029 )
...
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* ggml : RISC-V vector gemv for q4_0_8x8
* ggml : Added WIP rvv q4_0_8x8 gemm
* ggml : Added initial implementation of rvv gemm
* ggml : optimize gemm to avoid register spillover
* ggml : Fix GCC rvv load alignment issue
* ggml : Format gemm rvv code
* ggml : Fix a typo in RVV q4_0_8_8 GEMM
2024-10-30 09:00:40 +02:00
Diego Devesa
c5b0f4b5d9
llama : refactor model loader with backend registry ( #10026 )
2024-10-30 02:01:23 +01:00
Changyeon Kim
8f275a7c45
ggml: Add POOL2D OP for GPU acceleration to the Vulkan backend in the MobileVLM model. ( #9763 )
...
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* ggml: Add POOL2D OP for GPU ACC to the Vulkan.
- The MobileVLM model now supports inference acceleration through GPU by utilizing the Vulkan backend.
- A GGML_OP_POOL_2D shader has been added. (Pooling)
- The encoding performance of the CLIP model improved from 2.8s on the CPU to 0.7s on the GPU.
Signed-off-by: Changyeon Kim <cyzero.kim@samsung.com>
* [fix] Correct the incorrect order of the parameters.
fix casting to int.
Signed-off-by: Changyeon Kim <cyzero.kim@samsung.com>
---------
Signed-off-by: Changyeon Kim <cyzero.kim@samsung.com>
2024-10-29 09:52:56 +01:00
R0CKSTAR
524afeec9d
musa: workaround for Guilty Lockup in cleaning src0 ( #10042 )
...
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Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2024-10-28 10:02:48 +01:00
bssrdf
8c60a8a462
increase cuda_cpy block size (ggml/996)
...
Co-authored-by: bssrdf <bssrdf@gmail.com>
2024-10-26 10:33:56 +03:00
Georgi Gerganov
668750357e
metal : support permuted matrix multiplicaions ( #10033 )
...
* metal : support permuted matrix multiplicaions
ggml-ci
* cont : use nb01 directly for row steps
ggml-ci
* cont : add comments [no ci]
* metal : minor refactor
* metal : minor
2024-10-25 22:26:15 +03:00
Srihari-mcw
2f8bd2b901
llamafile : extend sgemm.cpp support for Q5_0 models ( #10010 )
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2024-10-25 10:27:41 +03:00
Johannes Gäßler
167a515651
CUDA: fix insufficient buffer clearing for MMQ ( #10032 )
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2024-10-24 14:40:23 +02:00
Johannes Gäßler
c39665f589
CUDA: fix MMQ for non-contiguous src0, add tests ( #10021 )
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* CUDA: fix MMQ for non-contiguous src0, add tests
* revise test code
2024-10-24 11:09:36 +02:00
Johannes Gäßler
80273a306d
CUDA: fix 1D im2col, add tests (ggml/993)
2024-10-23 16:50:02 +03:00
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
Jun Hee Yoo
4c9388fb96
metal : add POOL2D and fix IM2COL ( #9943 )
...
* add pool_2d
Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>
* fix im2col and add unittest for N>=1024
Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>
* add tests for N % 1024 != 0
Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>
* remove trailing whitespaces
Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>
* apply suggestions
Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>
* apply more optimization
- original IM2COL kernel + _ext with MIN()
Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>
* apply review: change kernel name of pool_2d
Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>
* apply review
Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>
* fix more formatting and enhance readability
Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>
---------
Signed-off-by: Junhee Yoo <junhee.yoo@navercorp.com>
2024-10-23 13:33:45 +03:00
leo-pony
6b8447352d
[CANN] Adapt to dynamically loadable backends mechanism ( #9970 )
...
* [CANN] Adapt to dynamically loadable backends mechanism
* Fix the Bug: inference running result is garbled in debug running model for LM models who's type is Q4_0 class
* Handle the review comments of this pull request
2024-10-22 16:16:01 +08:00
Georgi Gerganov
f594bc80ba
ggml : add asserts for type conversion in fattn kernels ( #9971 )
...
ggml-ci
2024-10-21 16:20:46 +03:00
Radoslav Gerganov
d5ebd79c76
rpc : pack only RPC structs ( #9959 )
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2024-10-21 13:35:40 +03:00
Neo Zhang Jianyu
1db8c84fc6
fix mul_mat_vec_q and *_vec_q error ( #9939 )
...
Co-authored-by: arthw <14088817+arthw@users.noreply.github.com>
2024-10-21 14:26:09 +08:00
Radoslav Gerganov
afd9909a64
rpc : backend refactoring ( #9912 )
...
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* rpc : refactor backend
Use structs for RPC request/response messages
* rpc : refactor server
2024-10-18 14:33:58 +03:00
Ouadie EL FAROUKI
87421a23e8
[SYCL] Add SYCL Backend registry, device and Event Interfaces ( #9705 )
...
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* implemented missing SYCL event APIs
* sycl : Added device and backend reg interfaces
* Restructured ggml-sycl.cpp
2024-10-18 06:46:16 +01:00
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
Diego Devesa
f010b77a37
vulkan : add backend registry / device interfaces ( #9721 )
...
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* vulkan : add backend registry / device interfaces
* llama : print devices used on model load
2024-10-17 02:46:58 +02:00
Gilad S.
2194200278
fix: allocating CPU buffer with size 0
( #9917 )
2024-10-17 01:34:22 +02:00
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
Daniel Bevenius
cd60b88bf7
ggml-alloc : remove buffer_id from leaf_alloc (ggml/987)
...
This commit removes the buffer_id field from the leaf_alloc struct.
The motivation for is that this field is only written to and never
read/used as far as I can tell. Each tensor_alloc has a buffer_id field
and this is what caused me to look into this more closely, to
understand what the buffer_id in leaf_alloc was used for.
2024-10-16 11:28:01 +03:00
leo-pony
becfd387f6
[CANN] Fix cann compilation error ( #9891 )
...
Fix cann compilation error after merging llama.cpp supports dynamically loadable backends.
2024-10-16 08:51:46 +08:00
agray3
13dca2a54a
Vectorize load instructions in dmmv f16 CUDA kernel ( #9816 )
...
* Vectorize load instructions in dmmv f16 CUDA kernel
Replaces scalar with vector load instructions, which substantially
improves performance on NVIDIA HBM GPUs, e.g. gives a 1.27X overall
speedup for Meta-Llama-3-8B-Instruct-F16 BS1 inference evaluation on
H100 SXM 80GB HBM3. On GDDR GPUs, there is a slight (1.01X) speedup.
* addressed comment
* Update ggml/src/ggml-cuda/dmmv.cu
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
---------
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2024-10-14 02:49:08 +02:00
Diego Devesa
96776405a1
ggml : move more prints to the ggml log system ( #9839 )
...
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* ggml : move more prints to the ggml log system
* show BLAS OpenMP warnings in all builds using debug print
2024-10-11 15:34:45 +02:00
Diego Devesa
0e9f760eb1
rpc : add backend registry / device interfaces ( #9812 )
...
* rpc : add backend registry / device interfaces
* llama : add llama_supports_rpc API
* ggml_backend_rpc_start_rpc_server -> ggml_backend_rpc_start_server
2024-10-10 20:14:55 +02:00
R0CKSTAR
cf8e0a3bb9
musa: add docker image support ( #9685 )
...
* mtgpu: add docker image support
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* mtgpu: enable docker workflow
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
---------
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2024-10-10 20:10:37 +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
Diego Devesa
6374743747
ggml : add backend registry / device interfaces to BLAS backend ( #9752 )
...
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* ggml : add backend registry / device interfaces to BLAS backend
* fix mmap usage when using host buffers
2024-10-07 21:55:08 +02:00
Andrew Minh Nguyen
f1af42fa8c
Update building for Android ( #9672 )
...
* docs : clarify building Android on Termux
* docs : update building Android on Termux
* docs : add cross-compiling for Android
* cmake : link dl explicitly for Android
2024-10-07 09:37:31 -07:00
Georgi Gerganov
d5ac8cf2f2
ggml : add metal backend registry / device ( #9713 )
...
* ggml : add metal backend registry / device
ggml-ci
* metal : fix names [no ci]
* metal : global registry and device instances
ggml-ci
* cont : alternative initialization of global objects
ggml-ci
* llama : adapt to backend changes
ggml-ci
* fixes
* metal : fix indent
* metal : fix build when MTLGPUFamilyApple3 is not available
ggml-ci
* fix merge
* metal : avoid unnecessary singleton accesses
ggml-ci
* metal : minor fix [no ci]
* metal : g_state -> g_ggml_ctx_dev_main [no ci]
* metal : avoid reference of device context in the backend context
ggml-ci
* metal : minor [no ci]
* metal : fix maxTransferRate check
* metal : remove transfer rate stuff
---------
Co-authored-by: slaren <slarengh@gmail.com>
2024-10-07 18:27:51 +03:00
Paul Tsochantaris
96b6912103
metal : single allocation of encode_async block ( #9747 )
...
* Single allocation of encode_async block with non-ARC capture in ggml-metal.m
* Moving Block_release to the deallocation code
* Release encode block when re-setting encoding buffer count if needed
* Update ggml/src/ggml-metal.m
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-10-07 15:26:31 +03:00
SRHMorris
b0915d5b51
vulkan : retry allocation with fallback flags (whisper/2451)
...
Co-authored-by: Samuel Morris <samuel.morris@artlist.io>
2024-10-06 12:52:11 +03:00
Georgi Gerganov
905f5485b2
metal : zero-init buffer contexts (whisper/0)
2024-10-05 15:53:00 +03:00
Daniel Bevenius
55951c018d
ggml : fix typo in example usage ggml_gallocr_new (ggml/984)
2024-10-04 18:50:05 +03:00
Diego Devesa
ff565769f2
ggml : fixes after sync (ggml/983)
...
ggml : remove test-backend-buffer
ggml : fix CUDA build warnings
2024-10-04 18:50:04 +03:00
Georgi Gerganov
d5ed2b929d
metal : remove abort (skip) (ggml/0)
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2024-10-03 21:18:19 +03:00
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
Jack Mousseau
5d5ab1e5cc
metal : fix compute pass descriptor autorelease crash ( #9718 )
2024-10-03 21:01:46 +03:00
Diego Devesa
a7ad553513
ggml-backend : add device description to CPU backend ( #9720 )
2024-10-03 17:39:18 +02:00
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
Ouadie EL FAROUKI
5639971466
Fixed dequant precision issues in Q4_1 and Q5_1 ( #9711 )
2024-10-03 07:50:44 +01:00
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
Alberto Cabrera Pérez
f536f4c439
[SYCL] Initial cmake support of SYCL for AMD GPUs ( #9658 )
...
sycl: initial cmake support of SYCL for AMD GPUs
2024-10-02 13:57:18 +01:00
Radoslav Gerganov
00b7317e63
vulkan : do not use tensor->extra ( #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 (#2 )
---------
Co-authored-by: 0cc4m <picard12@live.de>
2024-10-02 13:49:16 +03:00
Johannes Gäßler
e98c1c188e
test: fix OPT_STEP_ADAMW for test-backend-ops (ggml/974)
2024-10-01 16:07:40 +03:00
Salvatore Mesoraca
cb00020504
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>
2024-10-01 16:07:39 +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
cad341d889
metal : reduce command encoding overhead ( #9698 )
...
* metal : reduce command encoding overhead
ggml-ci
* metal : add comments
2024-10-01 16:00:25 +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
Johannes Gäßler
aaa4099925
CUDA: remove bad assert (ggml/972)
2024-09-29 21:15:37 +03:00
Jeff Bolz
641002fba8
vulkan : multithread pipeline creation (ggml/963)
2024-09-29 21:15:37 +03:00
Jeff Bolz
0de8b203f1
vulkan : fix build for GGML_VULKAN_RUN_TESTS, add TFLOPS to log (ggml/961)
2024-09-29 21:15:37 +03:00
Salvatore Mesoraca
544f409b4b
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>
2024-09-29 21:15:37 +03:00
Georgi Gerganov
6084bfb261
ggml : fix GGML_MAX_N_THREADS + improve formatting (ggml/969)
2024-09-29 21:15:35 +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
Markus Tavenrath
89f9944981
Enable use to the rebar feature to upload buffers to the device. ( #9251 )
2024-09-28 12:05:05 +02:00
R0CKSTAR
7691654c68
mtgpu: enable VMM ( #9597 )
...
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Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2024-09-26 03:27:40 +02:00
Charles Xu
1e43630218
ggml : remove assert for AArch64 GEMV and GEMM Q4 kernels ( #9217 )
...
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* 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
2024-09-25 16:12:20 +03:00
Dou Xinpeng
904837e0cb
cann: fix crash when llama-bench is running on multiple cann devices ( #9627 )
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2024-09-25 11:30:38 +08:00
Eric Zhang
70392f1f81
ggml : add AVX512DQ requirement for AVX512 builds ( #9622 )
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2024-09-24 11:03:21 +03:00
Georgi Gerganov
c038931615
examples : adapt to ggml.h changes (ggml/0)
...
ggml-ci
2024-09-24 11:00:52 +03:00
Georgi Gerganov
cea1486ecf
log : add CONT level for continuing previous log entry ( #9610 )
2024-09-24 10:15:35 +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
Ivan
116efee0ee
cuda: add q8_0->f32 cpy operation ( #9571 )
...
llama: enable K-shift for quantized KV cache
It will fail on unsupported backends or quant types.
2024-09-24 02:14:24 +02:00
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
Srihari-mcw
1e7b9299c6
ggml : AVX512 gemm for Q4_0_8_8 ( #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>
2024-09-23 17:06:38 +03:00
Georgi Gerganov
bf9c1013ac
metal : use F32 prec for K*Q in vec FA ( #9595 )
...
ggml-ci
2024-09-23 11:27:47 +03:00
Akarshan Biswas
e62e9789cd
Revert "[SYCL] fallback mmvq ( #9088 )" ( #9579 )
...
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This reverts commit 50addec9a5
.
2024-09-23 11:28:06 +08:00
R0CKSTAR
c35e586ea5
musa: enable building fat binaries, enable unified memory, and disable Flash Attention on QY1 (MTT S80) ( #9526 )
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* 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>
2024-09-22 16:55:49 +02:00
Molly Sophia
912c331d3d
Fix merge error in #9454 ( #9589 )
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Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
2024-09-22 15:26:50 +02:00
Johannes Gäßler
a5b57b08ce
CUDA: enable Gemma FA for HIP/Pascal ( #9581 )
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2024-09-22 09:34:52 +02:00
Molly Sophia
2a63caaa69
RWKV v6: RWKV_WKV op CUDA implementation ( #9454 )
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* 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>
2024-09-22 04:29:12 +02:00
slaren
d09770cae7
ggml-alloc : fix list of allocated tensors with GGML_ALLOCATOR_DEBUG ( #9573 )
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2024-09-21 14:24:23 +02:00
agray3
41f477879f
Update CUDA graph on scale change plus clear nodes/params ( #9550 )
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* 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
2024-09-21 02:41:07 +02:00
Georgi Gerganov
d13edb17ed
ggml : fix builds ( #0 )
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ggml-ci
2024-09-20 21:15:05 +03:00
Georgi Gerganov
27609c49b9
ggml : fix trailing whitespace ( #0 )
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ggml-ci
2024-09-20 21:15:05 +03:00
Johannes Gäßler
424c5d00a9
ggml/examples: add backend support for numerical optimization (ggml/949)
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* 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)
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ggml-ci
2024-09-20 21:15:05 +03:00
Johannes Gäßler
5cb12f6839
CUDA: fix sum.cu compilation for CUDA < 11.7 ( #9562 )
2024-09-20 18:35:35 +02:00
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 )
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* 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
Michael Podvitskiy
a6a3a5c531
ggml : link MATH_LIBRARY not by its full path ( #9339 )
2024-09-16 14:06:50 +03:00
Georgi Gerganov
19514d632e
cmake : do not hide GGML options + rename option ( #9465 )
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* cmake : do not hide GGML options
ggml-ci
* build : rename flag GGML_CUDA_USE_GRAPHS -> GGML_CUDA_GRAPHS
for consistency
ggml-ci
2024-09-16 10:27:50 +03:00