237 Commits

Author	SHA1	Message	Date
Radoslav Gerganov	afd9909a64	rpc : backend refactoring (#9912) ... * 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) ... * 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) ... * 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) ... * 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) ... * 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) ... * 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)	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) ... 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) ... 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) ... 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) ... * 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)	2024-09-25 11:30:38 +08:00
Eric Zhang	70392f1f81	ggml : add AVX512DQ requirement for AVX512 builds (#9622)	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