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 )
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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 )
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* 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)
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* 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 )
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* 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 )
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* 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)
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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