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Author SHA1 Message Date
Johannes GäßlerandGitHub 8e558309dc CUDA: MMQ support for iq4_nl, iq4_xs (#8278) 2024-07-05 09:06:31 +02:00
Johannes GäßlerandGitHub bcefa03bc0 CUDA: fix MMQ stream-k rounding if ne00 % 128 != 0 (#8311) 2024-07-05 09:05:34 +02:00
Johannes GäßlerandGitHub 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 GäßlerandGitHub 85a267daaa CUDA: fix MMQ stream-k for --split-mode row (#8167) 2024-06-27 16:26:05 +02:00
Johannes GäßlerandGitHub c8771ab5f8 CUDA: fix misaligned shared memory read (#8123) 2024-06-26 08:28:02 +02:00
Johannes GäßlerandGitHub 2df373ac40 CUDA: fix matrix multiplication algorithm choice (#8102) 2024-06-25 01:22:33 +02:00
Johannes GäßlerandGitHub 3b099bcd9c CUDA: fix MMQ writeback for int8 tensor cores (#8100) 2024-06-24 22:15:33 +02:00
Johannes GäßlerandGitHub a818f3028d CUDA: use MMQ instead of cuBLAS by default (#8075) 2024-06-24 17:43:42 +02:00
Johannes GäßlerandGitHub 9a590c8226 CUDA: optimize MMQ int8 tensor core performance (#8062) 
* CUDA: optimize MMQ int8 tensor core performance

* only a single get_mma_tile_x_k function

* simplify code, make functions constexpr
 2024-06-24 12:41:23 +02:00
Johannes GäßlerGitHubslaren
 		abd894ad96 common: fix warning (#8036) 
* common: fix warning

* Update common/common.cpp

Co-authored-by: slaren <slarengh@gmail.com>

---------

Co-authored-by: slaren <slarengh@gmail.com>
 2024-06-20 16:40:13 +02:00
Johannes GäßlerandGitHub d50f8897a7 CUDA: stream-k decomposition for MMQ (#8018) 
* CUDA: stream-k decomposition for MMQ

* fix undefined memory reads for small matrices
 2024-06-20 14:39:21 +02:00
Johannes GäßlerandGitHub 76d66ee0be CUDA: faster q2_K, q3_K MMQ + int8 tensor cores (#7921) 
* CUDA: faster q2_K, q3_K MMQ + int8 tensor cores

* try CI fix

* try CI fix

* try CI fix

* fix data race

* rever q2_K precision related changes
 2024-06-14 18:41:49 +02:00
Johannes GäßlerandGitHub 963552903f CUDA: fix broken oob check for FA vec f32 kernel (#7904) 2024-06-12 17:41:51 +02:00
Johannes GäßlerandGitHub 148995e5e5 llama-bench: more compact markdown tables (#7879) 2024-06-11 14:45:40 +02:00
Johannes GäßlerandGitHub bdcb8f4222 CUDA: int8 tensor cores for MMQ (q4_K, q5_K, q6_K) (#7860) 2024-06-11 08:26:07 +02:00
Johannes GäßlerandGitHub 1f0dabda8d CUDA: use tensor cores for MMQ (#7676) 
* CUDA: int8 tensor cores for MMQ (legacy quants)

* fix out-of-bounds writes

* __builtin_assume -> GGML_CUDA_ASSUME

* fix writeback returning too early
 2024-06-10 11:45:13 +02:00
Johannes GäßlerandGitHub 42b53d192f CUDA: revise q8_1 data layout for mul_mat_q (#7824) 2024-06-09 09:42:25 +02:00
Johannes GäßlerandGitHub 7027b27d76 server: update cache_prompt documentation [no ci] (#7745) 2024-06-07 11:15:49 +02:00
Johannes GäßlerandGitHub 7d1a378b8f CUDA: refactor mmq, dmmv, mmvq (#7716) 
* CUDA: refactor mmq, dmmv, mmvq

* fix out-of-bounds write

* struct for qk, qr, qi

* fix cmake build

* mmq_type_traits
 2024-06-05 16:53:00 +02:00
Johannes GäßlerandGitHub 0b832d53ba make: fix debug options not being applied to NVCC (#7714) 2024-06-03 16:28:58 +02:00
Johannes GäßlerandGitHub e141ce624a Fix FlashAttention debug test, FP32 assert (#7684) 2024-06-01 23:26:10 +02:00
Johannes GäßlerandGitHub 750f60c03e CUDA: fix Pascal FA, deq. KV to FP16 for batch > 8 (#7681) 2024-06-01 15:47:04 +02:00
Johannes GäßlerandGitHub 9b596417af CUDA: quantized KV support for FA vec (#7527) 
* CUDA: quantized KV support for FA vec

* try CI fix

* fix commented-out kernel variants

* add q8_0 q4_0 tests

* fix nwarps > batch size

* split fattn compile via extern templates

* fix flake8

* fix metal tests

* fix cmake

* make generate_cu_files.py executable

* add autogenerated .cu files

* fix AMD

* error if type_v != FP16 and not flash_attn

* remove obsolete code
 2024-06-01 08:44:14 +02:00
Johannes GäßlerandGitHub c8047d538f scripts: update compare_llama_bench.py [no ci] (#7673) 2024-05-31 16:26:21 +02:00
Johannes GäßlerandGitHub 972b555ab9 README: explain parallel build [no ci] (#7618) 2024-05-30 09:52:39 +02:00
Johannes GäßlerandGitHub 10b1e45876 make: add --device-debug to NVCC debug flags (#7542) 2024-05-27 19:34:40 +02:00
Johannes GäßlerandGitHub cd93a28cb1 CUDA: fix FA out-of-bounds reads (#7479) 2024-05-23 00:31:20 +02:00
Johannes GäßlerandGitHub 38c03478a3 CUDA: fix FA out-of-bounds writes (#7465) 2024-05-22 17:58:25 +02:00
Johannes GäßlerandGitHub 95fb0aefab CUDA: remove incorrect precision check (#7454) 2024-05-22 10:24:29 +02:00
Johannes GäßlerandGitHub fcf6538ba6 CUDA: fix unused warning in mmq.cu (#7442) 2024-05-21 20:27:12 +03:00
Johannes GäßlerandGitHub d8ee902227 CUDA: deduplicate mmq code (#7397) 2024-05-21 16:02:12 +02:00
Johannes GäßlerandGitHub 20385cebcc perplexity: update README FP16 results [no ci] (#7413) 2024-05-20 18:15:38 +02:00
Johannes GäßlerandGitHub 5ca49cbecd ggml: implement quantized KV cache for FA (#7372) 2024-05-19 16:46:13 +02:00
Johannes GäßlerandGitHub 1b01f06db0 server: add test for token probs (#7347) 2024-05-19 16:26:02 +02:00
Johannes GäßlerandGitHub 41858392e1 server: fix seed being reported back (#7382) 2024-05-19 17:06:33 +03:00
Johannes GäßlerandGitHub 133d99c599 CUDA: deduplicate FlashAttention code (#7352) 2024-05-18 12:36:25 +02:00
Johannes GäßlerandGitHub cb42c29427 server: correct --threads documentation [no ci] (#7362) 2024-05-18 11:10:47 +02:00
Johannes GäßlerandGitHub 0fc1e820a9 CUDA: faster large batch FA without tensor cores (#7314) 2024-05-17 18:54:52 +02:00
Johannes GäßlerandGitHub 29c60d8cdd tokenization: add warning for double BOS (#7332) 2024-05-17 09:59:57 +02:00
Johannes GäßlerandGitHub 583fd6b000 server bench: fix bench not waiting for model load (#7284) 2024-05-15 08:44:16 +02:00
Johannes GäßlerandGitHub 1c570d8bee perplexity: add BF16 vs. FP16 results (#7150) 2024-05-13 13:03:27 +02:00
Johannes GäßlerandGitHub dc685be466 CUDA: add FP32 FlashAttention vector kernel (#7188) 
* CUDA: add FP32 FlashAttention vector kernel

* fixup! CUDA: add FP32 FlashAttention vector kernel

* fixup! fixup! CUDA: add FP32 FlashAttention vector kernel

* fixup! fixup! fixup! CUDA: add FP32 FlashAttention vector kernel
 2024-05-12 19:40:45 +02:00
Johannes GäßlerandGitHub 5ae3426b0b server: fix reported top tokens for temperature 0 (#7203) 2024-05-11 10:11:28 +02:00
Johannes GäßlerandGitHub a743d76a01 CUDA: generalize FP16 fattn vec kernel (#7061) 
* CUDA: generalize FP16 fattn vec kernel

* disable unsupported head sizes for AMD in test

* try AMD fix

* fix batch size 2-8

* partially revert changes
 2024-05-09 14:32:02 +02:00
Johannes GäßlerandGitHub c12452c7ae JSON: [key] -> .at(key), assert() -> GGML_ASSERT (#7143) 2024-05-08 21:53:08 +02:00
Johannes GäßlerandGitHub af0a5b6163 server: fix incorrectly reported token probabilities (#7125) 
* server: normalize token probabilities

* fix temperature == 0.0f
 2024-05-07 23:07:58 +02:00
Johannes GäßlerandGitHub 3ea0d36000 Server: add tests for batch size, different seeds (#6950) 2024-05-01 17:52:55 +02:00
Johannes GäßlerandGitHub 1613ef8d8e CUDA: CUDART < 11.7 workaround for __hmax, __hmax2 (#7019) 2024-05-01 14:46:37 +02:00
Johannes GäßlerandGitHub a8f9b07631 perplexity: more statistics, added documentation (#6936) 
* perplexity: more statistics, added documentation

* add LLaMA 3 8b scoreboard
 2024-04-30 23:36:27 +02:00
Johannes GäßlerandGitHub c4f708a93f llama : fix typo LAMMAFILE -> LLAMAFILE (#6974) 2024-04-29 15:36:22 +03:00
Johannes GäßlerandGitHub 784e11dea1 README: add graphic for matrix multiplication (#6881) 2024-04-24 21:29:13 +02:00
Johannes GäßlerandGitHub 28103f4832 Server: fix seed for multiple slots (#6835) 
* Server: add tests for consistent results

* sampling: separate rng per sampling context
 2024-04-24 11:08:36 +02:00
Johannes GäßlerandGitHub b5e7285baf CUDA: fix matrix multiplication logic for tests (#6667) 2024-04-14 00:21:55 +02:00
Johannes GäßlerandGitHub 33a5244806 compare-llama-bench.py: fix long hexsha args (#6424) 2024-04-01 13:30:43 +02:00
Johannes GäßlerandGitHub 7aed0ffe68 Fixed lookup compilation issues on Windows (#6273) 2024-03-24 14:21:17 +01:00
Johannes GäßlerandGitHub 50ccaf5eac lookup: complement data from context with general text statistics (#5479) 
* lookup: evaluation tools, use corpus/previous gens

* fixup! lookup: evaluation tools, use corpus/previous gens

* fixup! lookup: evaluation tools, use corpus/previous gens

* fixup! lookup: evaluation tools, use corpus/previous gens

* fixup! lookup: evaluation tools, use corpus/previous gens
 2024-03-23 01:24:36 +01:00
Johannes GäßlerandGitHub 47bb7b48c7 CUDA: fix DEBUG_CUDA_MALLOC (#5729) 2024-02-26 15:36:38 +01:00
Johannes GäßlerGitHubJared Van Bortel
 		ad014bba97 make: add error message for bad CUDA version (#5444) 
* make: add error message for bad CUDA version

* Update Makefile

Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>

---------

Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
 2024-02-13 12:38:37 +01:00
Johannes GäßlerGitHubslaren
 		3bdc4cd0f5 CUDA: mul_mat_vec_q tiling, refactor mul mat logic (#5434) 
* CUDA: mul_mat_vec_q tiling, refactor mul mat logic

Co-authored-by: slaren <slarengh@gmail.com>

---------

Co-authored-by: slaren <slarengh@gmail.com>
 2024-02-11 19:08:39 +01:00
Johannes GäßlerandGitHub e4640d8fdf lookup: add print for drafting performance (#5450) 2024-02-11 12:44:51 +01:00
Johannes GäßlerandGitHub 8e6a9d2de0 CUDA: more warps for mmvq on NVIDIA (#5394) 2024-02-08 21:56:40 +01:00
Johannes GäßlerandGitHub b7b74cef36 fix trailing whitespace (#5407) 2024-02-08 11:36:54 +01:00
Johannes GäßlerGitHubGeorgi Gerganov
 		26d4efd11e sampling: fix top_k <= 0 (#5388) 
* sampling: fix top_k <= 0

* Update llama.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-02-08 09:46:30 +01:00
Johannes GäßlerandGitHub aa7ab99be2 CUDA: fixed mmvq kernel for bs 2,3,4 and -sm row (#5386) 2024-02-07 12:40:26 +01:00
Johannes GäßlerandGitHub 17c97fb062 CUDA: mul_mat_vec_q max. batch size 8 -> 4 (#5370) 2024-02-06 19:43:06 +02:00
Johannes GäßlerandGitHub 2c516611f1 CUDA: mul_mat_vec_q for batch sizes > 1 (#5351) 2024-02-06 14:44:06 +01:00
Johannes GäßlerandGitHub 098f6d737b make: Use ccache for faster compilation (#5318) 
* make: Use ccache for faster compilation
 2024-02-05 19:33:00 +01:00
Johannes GäßlerGitHubGeorgi Gerganov
 		78b00dda6c README: updated introduction (#5343) 
* README: updated introduction

* readme : update

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-02-05 15:55:10 +01:00
Johannes GäßlerandGitHub 3c0d25c475 make: add nvcc info print (#5310) 2024-02-03 20:15:13 +01:00
Johannes GäßlerandGitHub 3cc5ed353c make: fix nvcc optimization flags for host code (#5309) 2024-02-03 20:14:59 +01:00
Johannes GäßlerandGitHub 9241c3a2ac Apply min_p to unsorted tokens (#5115) 2024-01-28 09:59:49 +01:00
Johannes GäßlerandGitHub b2b2bf988c Tests for min_p, sampling queue (#5147) 2024-01-28 09:35:14 +01:00
Johannes GäßlerandGitHub 9ecdd12e95 CUDA: more info when no device code (#5088) 2024-01-23 13:31:56 +01:00
Johannes GäßlerandGitHub c71d608ce7 ggml: cache sin/cos for RoPE (#4908) 2024-01-13 21:41:37 +01:00
Johannes GäßlerandGitHub 7dc78764e2 compare-llama-bench: tweak output format (#4910) 2024-01-13 15:52:53 +01:00
Johannes GäßlerandGitHub 3fe81781e3 CUDA: faster q8_0 -> f16 dequantization (#4895) 2024-01-12 20:38:54 +01:00
Johannes GäßlerandGitHub 1b280c9fff CUDA: fix softmax compile for old CUDA versions (#4862) 2024-01-12 12:30:41 +01:00
Johannes GäßlerandGitHub 4f56458d34 Python script to compare commits with llama-bench (#4844) 2024-01-10 01:04:33 +01:00
Johannes GäßlerandGitHub 8f900abfc0 CUDA: faster softmax via shared memory + fp16 math (#4742) 2024-01-09 08:58:55 +01:00
Johannes GäßlerandGitHub d5a410e855 CUDA: fixed redundant value dequantization (#4809) 2024-01-07 17:24:08 +01:00
Johannes GäßlerandGitHub a91928014f Print backend name on test-backend-ops failure (#4751) 2024-01-04 09:43:23 +01:00
Johannes GäßlerandGitHub 39d8bc71ed CUDA: fixed tensor cores not being used on RDNA3 (#4697) 2023-12-30 13:52:01 +01:00
Johannes GäßlerandGitHub a20f3c7465 CUDA: fix tensor core logic for Pascal and HIP (#4682) 2023-12-29 23:12:53 +01:00
Johannes GäßlerandGitHub e0a4002273 CUDA: fixed row rounding for 0 tensor splits (#4594) 2023-12-23 09:16:33 +01:00
Johannes GäßlerandGitHub 9154494808 CUDA: mul_mat_id always on GPU for batches >= 32 (#4553) 2023-12-21 18:42:59 +01:00
Johannes GäßlerandGitHub d3223afdad llama : disable per-tensor info prints on model load (#4562) 2023-12-21 18:34:17 +02:00
Johannes GäßlerGitHubslaren
 		799fc22689 CUDA: Faster Mixtral prompt processing (#4538) 
* CUDA: make MoE tensors contiguous for batch size>1

* Update ggml-cuda.cu

Co-authored-by: slaren <slarengh@gmail.com>

---------

Co-authored-by: slaren <slarengh@gmail.com>
 2023-12-20 15:41:22 +01:00
Johannes GäßlerandGitHub 8185710a80 CUDA: use only 1 thread if fully offloaded (#2915) 2023-09-21 11:43:53 +03:00
Johannes GäßlerandGitHub ee66942d7e CUDA: fix peer access logic (#3231) 2023-09-17 23:35:20 +02:00
Johannes GäßlerandGitHub 111163e246 CUDA: enable peer access between devices (#2470) 2023-09-17 16:37:53 +02:00
Johannes GäßlerandGitHub 578d8c8f5c CUDA: fix scratch malloced on non-main device (#3220) 2023-09-17 14:16:22 +02:00
Johannes GäßlerGitHubHenri Vasserman
 		0a5eebb45d CUDA: mul_mat_q RDNA2 tunings (#2910) 
* CUDA: mul_mat_q RDNA2 tunings

* Update ggml-cuda.cu

Co-authored-by: Henri Vasserman <henv@hot.ee>

---------

Co-authored-by: Henri Vasserman <henv@hot.ee>
 2023-09-13 11:20:24 +02:00
Johannes GäßlerandGitHub 4f7cd6ba9c CUDA: fix LoRAs (#3130) 2023-09-13 00:15:33 +02:00
Johannes GäßlerandGitHub 89e89599fd CUDA: fix mul_mat_q not used for output tensor (#3127) 2023-09-11 22:58:41 +02:00
Johannes GäßlerandGitHub d54a4027a6 CUDA: lower GPU latency + fix Windows performance (#3110) 2023-09-11 19:55:51 +02:00
Johannes GäßlerandGitHub 8a4ca9af56 CUDA: add device number to error messages (#3112) 2023-09-11 13:00:24 +02:00
Johannes GäßlerandGitHub 8afe228000 CUDA: mul_mat_q=true llama_context_params default (#2912) 2023-08-30 21:46:19 +02:00
Johannes GäßlerandGitHub 6b73ef1201 YAML result logging + preset script (#2657) 2023-08-28 17:59:39 +02:00
Johannes GäßlerandGitHub 92b1bbd2ec CUDA: fix RoPE asserts, block sizes (#2833) 2023-08-28 14:23:55 +03:00
Johannes GäßlerandGitHub c63bb1d16a CUDA: use mul_mat_q kernels by default (#2683) 2023-08-22 22:47:05 +02:00