51 Commits

Author	SHA1	Message	Date
Diego Devesa	d3481e6316	cuda : only use native when supported by cmake (#10389)	2024-11-18 18:43:40 +01:00
Johannes Gäßler	76e9e58b78	CUDA: fix MMV kernel being used for FP16 src1 (#10357)	2024-11-17 23:20:42 +01:00
Johannes Gäßler	ce2e59ba10	CMake: fix typo in comment [no ci] (#10360)	2024-11-17 12:59:38 +01:00
Johannes Gäßler	c3ea58aca4	CUDA: remove DMMV, consolidate F16 mult mat vec (#10318)	2024-11-17 09:09:55 +01:00
Johannes Gäßler	467576b6cc	CMake: default to -arch=native for CUDA build (#10320)	2024-11-17 09:06:34 +01:00
Johannes Gäßler	8a43e940ab	ggml: new optimization interface (ggml/988)	2024-11-17 08:30:29 +02:00
Diego Devesa	ae8de6d50a	ggml : build backends as libraries (#10256) ... * 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
SXX	5b359bb1e3	ggml: fix zero division in ‘dne’ calculation in CUDA COUNT_EQUAL operator when ‘ne’ is small (#10213)	2024-11-09 08:35:46 +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
bssrdf	8c60a8a462	increase cuda_cpy block size (ggml/996) ... Co-authored-by: bssrdf <bssrdf@gmail.com>	2024-10-26 10:33:56 +03:00
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
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
Johannes Gäßler	fabdc3bda3	ggml/ex: calculate accuracy in graph, adapt MNIST (ggml/980)	2024-10-03 21:17:26 +03:00
Johannes Gäßler	aaa4099925	CUDA: remove bad assert (ggml/972)	2024-09-29 21:15:37 +03:00
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
R0CKSTAR	c35e586ea5	musa: enable building fat binaries, enable unified memory, and disable Flash Attention on QY1 (MTT S80) (#9526) ... * 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
Johannes Gäßler	a5b57b08ce	CUDA: enable Gemma FA for HIP/Pascal (#9581)	2024-09-22 09:34:52 +02:00
Molly Sophia	2a63caaa69	RWKV v6: RWKV_WKV op CUDA implementation (#9454) ... * 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
agray3	41f477879f	Update CUDA graph on scale change plus clear nodes/params (#9550) ... * 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) ... ggml-ci	2024-09-20 21:15:05 +03:00
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
Johannes Gäßler	5cb12f6839	CUDA: fix sum.cu compilation for CUDA < 11.7 (#9562)	2024-09-20 18:35:35 +02:00
Johannes Gäßler	5af118efda	CUDA: fix --split-mode row race condition (#9413)	2024-09-11 10:22:40 +02:00
R0CKSTAR	b34e023480	musa: remove Clang builtins mapping (#9421) ... Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>	2024-09-11 03:46:55 +02:00
Johannes Gäßler	8e6e2fbe14	CUDA: fix variable name conflict for Windows build (#9382)	2024-09-09 14:22:53 +02:00
Georgi Gerganov	e079bffb66	cuda : fix FA Q src index (1 -> 0) (#9374)	2024-09-08 22:01:02 +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
slaren	4db04784f9	cuda : fix defrag with quantized KV (#9319)	2024-09-05 11:13:11 +02:00
Georgi Gerganov	231cff5f6f	sync : ggml	2024-08-27 22:41:27 +03:00
Johannes Gäßler	e11bd856d5	CPU/CUDA: Gemma 2 FlashAttention support (#8542) ... * CPU/CUDA: Gemma 2 FlashAttention support * apply logit_softcap to scale in kernel * disable logit softcapping tests on Metal * remove metal check	2024-08-24 21:34:59 +02:00
Daniel Bevenius	06943a69f6	ggml : move rope type enum to ggml.h (#8949) ... * ggml : move rope type enum to ggml.h This commit moves the `llama_rope_type` enum from `llama.h` to `ggml.h` and changes its name to `ggml_rope_type`. The motivation for this change is to address the TODO in `llama.h` and use the enum in ggml. Note: This commit does not change the `mode` parameter to be of type `enum ggml_rope_type`. The name `mode` and its usage suggest that it might be more generic and possibly used as a bit field for multiple flags. Further investigation/discussion may be needed to determine if `mode` should be restricted to RoPE types. * squash! ggml : move rope type enum to ggml.h This commit removes GGML_ROPE_TYPE_NONE and GGML_ROPE_TYPE_GLM from ggml.h, and back the llama_rope_type enum. I've kept the assert for GGML_ROPE_TYPE_GLM as I'm not sure if it is safe to remove it yet. * squash! ggml : move rope type enum to ggml.h This commit removes the enum ggml_rope_type from ggml.h and replaces it with a define (GGML_ROPE_TYPE_NEOX). This define is used in the code to check if the mode is set to GPT-NeoX. Also the enum llama_rope_type has been updated to reflect this change. * squash! ggml : move rope type enum to ggml.h This commit contains a suggestion enable the GGML_ROPE_TYPE_NEOX macro/define to be passed to the shader compiler. * squash! ggml : move rope type enum to ggml.h This commit fixes the editorconfig-checker warnings. * squash! ggml : move rope type enum to ggml.h Update comment for ggml_rope function. * Revert "squash! ggml : move rope type enum to ggml.h" This reverts commit 6261222bd0. * squash! ggml : move rope type enum to ggml.h Add GGML_ROPE_TYPE_NEOX to rope_common.comp. * remove extra line --------- Co-authored-by: slaren <slarengh@gmail.com>	2024-08-13 21:13:15 +02:00
Molly Sophia	2d5dd7bb3f	ggml : add epsilon as a parameter for group_norm (#8818) ... Signed-off-by: Molly Sophia <mollysophia379@gmail.com>	2024-08-06 10:26:46 +03:00
slaren	7a11eb3a26	cuda : fix dmmv cols requirement to 2*GGML_CUDA_DMMV_X (#8800) ... * cuda : fix dmmv cols requirement to 2*GGML_CUDA_DMMV_X * update asserts * only use dmmv for supported types * add test	2024-08-01 15:26:22 +02:00
R0CKSTAR	439b3fc75a	cuda : organize vendor-specific headers into vendors directory (#8746) ... Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>	2024-07-29 14:56:12 +02:00
R0CKSTAR	e54c35e4fb	feat: Support Moore Threads GPU (#8383) ... * Update doc for MUSA Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> * Add GGML_MUSA in Makefile Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> * Add GGML_MUSA in CMake Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> * CUDA => MUSA Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> * MUSA adds support for __vsubss4 Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> * Fix CI build failure Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> --------- Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>	2024-07-28 01:41:25 +02:00
slaren	2b1f616b20	ggml : reduce hash table reset cost (#8698) ... * ggml : reduce hash table reset cost * fix unreachable code warnings after GGML_ASSERT(false) * GGML_ASSERT(false) -> GGML_ABORT("fatal error") * GGML_ABORT use format string	2024-07-27 04:41:55 +02:00
Jeroen Mostert	46e47417aa	Allow all RDNA2 archs to use sdot4 intrinsic (#8629) ... The check gating the use of `__builtin_amdgc_sdot4` specifically checks for gfx1030. This causes a severe perf regression for anything gfx103? that's not gfx1030 and not using `HSA_OVERRIDE_GFX_VERSION` (if you've built ROCm to support it). We already have a generic RDNA2 define, let's use it.	2024-07-23 10:50:40 +02:00
Johannes Gäßler	69c487f4ed	CUDA: MMQ code deduplication + iquant support (#8495) ... * CUDA: MMQ code deduplication + iquant support * 1 less parallel job for CI build	2024-07-20 22:25:26 +02:00
Daniel Bevenius	b078c619aa	cuda : suppress 'noreturn' warn in no_device_code (#8414) ... * cuda : suppress 'noreturn' warn in no_device_code This commit adds a while(true) loop to the no_device_code function in common.cuh. This is done to suppress the warning: ```console /ggml/src/ggml-cuda/template-instances/../common.cuh:346:1: warning: function declared 'noreturn' should not return [-Winvalid-noreturn] 346 | } | ^ ``` The motivation for this is to reduce the number of warnings when compilng with GGML_HIPBLAS=ON. Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com> * squash! cuda : suppress 'noreturn' warn in no_device_code Update __trap macro instead of using a while loop to suppress the warning. Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com> --------- Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>	2024-07-11 17:53:42 +02:00
Johannes Gäßler	808aba3916	CUDA: optimize and refactor MMQ (#8416) ... * CUDA: optimize and refactor MMQ * explicit q8_1 memory layouts, add documentation	2024-07-11 16:47:47 +02:00
John Balis	fde13b3bb9	feat: cuda implementation for ggml_conv_transpose_1d (ggml/854) ... * conv transpose 1d passing test for 1d input and kernel * working for different input and output channel counts, added test for variable stride * initial draft appears to work with stride other than 1 * working with all old and new conv1d tests * added a test for large tensors * removed use cuda hardcoding * restored test-conv-transpose.c * removed unused arugments, and fixed bug where test failure would cause subsequent tests to fail * fixed accumulator bug * added test to test-backend-ops * fixed mistake * addressed review * fixed includes * removed blank lines * style and warning fixes * return failure when test fails * fix supports_op --------- Co-authored-by: slaren <slarengh@gmail.com>	2024-07-08 12:23:00 +03:00
Johannes Gäßler	8e558309dc	CUDA: MMQ support for iq4_nl, iq4_xs (#8278)	2024-07-05 09:06:31 +02:00
Daniele	0a423800ff	CUDA: revert part of the RDNA1 optimizations (#8309) ... The change on the launch_bounds was causing a small performance drop in perplexity of 25 t/s	2024-07-05 09:06:09 +02:00
Johannes Gäßler	bcefa03bc0	CUDA: fix MMQ stream-k rounding if ne00 % 128 != 0 (#8311)	2024-07-05 09:05:34 +02:00
Daniele	d23287f122	Define and optimize RDNA1 (#8085)	2024-07-04 01:02:58 +02:00
Clint Herron	07a3fc0608	Removes multiple newlines at the end of files that is breaking the editorconfig step of CI. (#8258)	2024-07-02 12:18:10 -04:00
Johannes Gäßler	cb5fad4c6c	CUDA: refactor and optimize IQ MMVQ (#8215) ... * CUDA: refactor and optimize IQ MMVQ * uint -> uint32_t * __dp4a -> ggml_cuda_dp4a * remove MIN_CC_DP4A checks * change default * try CI fix	2024-07-01 20:39:06 +02:00
Johannes Gäßler	85a267daaa	CUDA: fix MMQ stream-k for --split-mode row (#8167)	2024-06-27 16:26:05 +02:00