273 Commits

Author	SHA1	Message	Date
snadampal	6a066b9978	fix build break on arm64 linux (#10166) ... This fixes the build break from the recent changes to move the CPU backend to separate files https://github.com/ggerganov/llama.cpp/pull/10144	2024-11-04 16:08:33 +01:00
Diego Devesa	ea02c753eb	cuda : clear error after changing peer access (#10153)	2024-11-04 13:10:23 +01:00
Georgi Gerganov	05697f670b	metal : simplify f16 and f32 dequant kernels (#0)	2024-11-04 13:49:34 +02:00
Georgi Gerganov	f8e58135cf	metal : move dequantize templates to beginning of MSL source (#0)	2024-11-04 13:44:06 +02:00
leo-pony	329ed914c9	CANN: adjust backend registry refactor. (#10158) ... remove buffer->iface.get_name that used in cann as it was removed in backend registry refactor PR.	2024-11-04 19:08:22 +08:00
Yuri Khrustalev	284e5b0275	cmake : make it possible linking ggml as external lib (ggml/1003)	2024-11-04 10:33:11 +02:00
Plamen Minev	e2292aaa17	metal : fix minor string leaks (ggml/1004)	2024-11-04 10:33:10 +02:00
Diego Devesa	9f40989351	ggml : move CPU backend to a separate file (#10144)	2024-11-03 19:34:08 +01:00
Georgi Gerganov	08828a6d7d	metal : minor fixup in FA kernel (#10143) ... * 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) ... * 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) ... 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) ... * 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) ... * 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) ... * 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) ... 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)	2024-10-25 10:27:41 +03:00
Johannes Gäßler	167a515651	CUDA: fix insufficient buffer clearing for MMQ (#10032)	2024-10-24 14:40:23 +02:00
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
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)	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) ... * 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