Commit Graph

153 Commits

Author SHA1 Message Date
Georgi Gerganov
7cdc08a5d1
ggml : remove Q4_2 mode 2023-05-08 21:36:55 +03:00
Georgi Gerganov
b47bd2877f
ggml : update cuBLAS + normalize variable names 2023-05-08 21:35:52 +03:00
Georgi Gerganov
c216656990
ggml : fix Q4_1 quantization 2023-05-08 21:35:52 +03:00
Georgi Gerganov
4991499a5a
ggml : remove WASM SIMD bit shuffling + remove vzip for ARM 32-bit 2023-05-08 21:35:52 +03:00
Georgi Gerganov
ba953d6e21
ggml : simplify scalar dot 2023-05-08 21:35:52 +03:00
Georgi Gerganov
c7af9042b3
ggml : remove Q5_1 bit shuffling (ARM NEON + scalar) 2023-05-08 21:35:52 +03:00
Georgi Gerganov
39bb8e7d19
ggml : 2x faster scalar implementations 2023-05-08 21:35:52 +03:00
Georgi Gerganov
796f8ae261
ggml : remove Q5_0 bit shuffling (ARM NEON) 2023-05-08 21:35:51 +03:00
Georgi Gerganov
a6a1d96c91
ggml : remove Q4_2 bit shuffling (WIP, BROKEN) 2023-05-08 21:35:51 +03:00
Georgi Gerganov
086cfea11f
ggml : nibbles_from_floats() + bytes_from_nibbles() (ARM NEON) 2023-05-08 21:35:51 +03:00
Georgi Gerganov
edb6c8bb66
ggml : remove Q4_1 bit shuffling (ARM NEON + reference) 2023-05-08 21:35:51 +03:00
Georgi Gerganov
a546dc6d60
ggml : remove Q4_0 bit shufling (ARM NEON) 2023-05-08 21:35:50 +03:00
swittk
1b0fd45465
ggml : Allow usage of CLBlast alongside Accelerate.framework (#1336)
Minor edit in ggml.c which originally would prevent OpenCL from loading completely if GGML_USE_ACCELERATE was defined.
Minor speedup in prompt eval time.
2023-05-06 23:03:23 -04:00
Ron Jailall
20fbf2a2a0
ggml : change immintrin.h to intrin.h for compatibility (#1307)
* change immintrin.h to intrin.h for compatibility

Building on windows11 arm throws an error on this line. Seems like using intrin.h covers x86 and and arm

* conditional def of intrin.h

* fix typo in ggml.c
2023-05-04 18:05:59 +03:00
Georgi Gerganov
799fdc1b5d
ggml : vectorize Q8_0 quantization
https://github.com/ggerganov/ggml/pull/127#issuecomment-1533648531
2023-05-03 23:24:20 +03:00
Georgi Gerganov
5d5817ca60
ggml : fix 32-bit ARM 2023-05-02 22:14:50 +03:00
Marvin Gießing
cc0bb7235c
ggml : fix ppc64le build error and make cmake detect Power processors (#1284)
* Fix ppc64le build issue

* Added support to detect ppc64* processors
2023-05-02 19:42:16 +03:00
slaren
2d099e5193
ggml: add names to tensors (#1268)
* ggml: add names to tensors

* minor improvements to dot file formatting
2023-05-02 16:03:00 +02:00
slaren
58b367c2d7
cuBLAS: refactor and optimize f16 mat mul performance (#1259)
* cuBLAS: refactor, convert fp16 to fp32 on device

* cuBLAS: use multiple streams, choose smartly between mul_mat_q and mul_mat_f16

* fix build

* cuBLAS: update block_q5_1
2023-05-01 18:11:07 +02:00
Kerfuffle
2bdc09646d
ggml : fix ggml_used_mem() (#1264) 2023-05-01 14:56:07 +03:00
Georgi Gerganov
7ff0dcd320
ggml : fix UB (int << 31) 2023-04-30 22:28:51 +03:00
Georgi Gerganov
6bc4400e67
ggml : add Q5 WASM SIMD + GGML_FTYPE 2023-04-30 19:07:43 +03:00
Georgi Gerganov
3e5aa8a1c4
ggml : fix labels for GGML_OP_ALIBI 2023-04-30 10:25:46 +03:00
Georgi Gerganov
c3ca7a5f05
ggml : fix 32-bit ARM NEON 2023-04-29 21:34:23 +03:00
Georgi Gerganov
e8c051611a
ggml : use vzip instead of vuzp for consistency 2023-04-29 21:12:56 +03:00
Georgi Gerganov
0b5a935099
ggml : fix visibility and unused warnings 2023-04-29 19:28:36 +03:00
Georgi Gerganov
ec728e44d7
ggml : fix #if for f32_f32 mul_mat (CLBlast) (#1229) 2023-04-29 18:43:42 +03:00
Georgi Gerganov
214b6a3570
ggml : adjust mul_mat_f16 work memory (#1226)
* llama : minor - remove explicity int64_t cast

* ggml : reduce memory buffer for F16 mul_mat when not using cuBLAS

* ggml : add asserts to guard for incorrect wsize
2023-04-29 18:43:28 +03:00
slaren
7fc50c051a
cuBLAS: use host pinned memory and dequantize while copying (#1207)
* cuBLAS: dequantize simultaneously while copying memory

* cuBLAS: use host pinned memory

* cuBLAS: improve ggml_compute_forward_mul_mat_f16_f32 with pinned memory

* cuBLAS: also pin kv cache

* fix rebase
2023-04-29 02:04:18 +02:00
Henri Vasserman
b1ee8f59b4
cuBLAS: non-contiguous tensor support (#1215)
* Cuda: non-contiguous tensor support

* remove extra stuff

* rename

* fix error

* more fixes, now OpenBLAS and CLBlast build too

* now then?
2023-04-29 01:31:56 +02:00
Stephan Walter
36d19a603b
Remove Q4_3 which is no better than Q5 (#1218) 2023-04-28 23:10:43 +00:00
Georgi Gerganov
55390bcaf2
ggml : sync ggml (ggml_alibi) 2023-04-28 20:51:05 +03:00
Georgi Gerganov
11d902364b
ggml : add helper debug printf in soft_max 2023-04-28 17:59:08 +03:00
0cc4m
7296c961d9
ggml : add CLBlast support (#1164)
* Allow use of OpenCL GPU-based BLAS using ClBlast instead of OpenBLAS for context processing

* Improve ClBlast implementation, avoid recreating buffers, remove redundant transfers

* Finish merge of ClBlast support

* Move CLBlast implementation to separate file

Add buffer reuse code (adapted from slaren's cuda implementation)

* Add q4_2 and q4_3 CLBlast support, improve code

* Double CLBlast speed by disabling OpenBLAS thread workaround

Co-authored-by: Concedo <39025047+LostRuins@users.noreply.github.com>
Co-authored-by: slaren <2141330+slaren@users.noreply.github.com>

* Fix device selection env variable names

* Fix cast in opencl kernels

* Add CLBlast to CMakeLists.txt

* Replace buffer pool with static buffers a, b, qb, c

Fix compile warnings

* Fix typos, use GGML_TYPE defines, improve code

* Improve btype dequant kernel selection code, add error if type is unsupported

* Improve code quality

* Move internal stuff out of header
* Use internal enums instead of CLBlast enums
* Remove leftover C++ includes and defines
* Make event use easier to read

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

* Use c compiler for opencl files

* Simplify code, fix include

* First check error, then release event

* Make globals static, fix indentation

* Rename dequant kernels file to conform with other file names

* Fix import cl file name

---------

Co-authored-by: Concedo <39025047+LostRuins@users.noreply.github.com>
Co-authored-by: slaren <2141330+slaren@users.noreply.github.com>
Co-authored-by: Henri Vasserman <henv@hot.ee>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-04-28 17:57:16 +03:00
Yann Follet
04aaae1d79
add avx2 for dot_q8_0_q8_0, 2x faster than scalar (#1211) 2023-04-28 11:59:48 +00:00
Stephan Walter
0b2da20538
ggml : slightly faster AVX2 implementation for Q5 (#1197) 2023-04-26 23:26:42 +03:00
Georgi Gerganov
574406dc7e
ggml : add Q5_0 and Q5_1 quantization (#1187)
* ggml : add Q5_0 quantization (cuBLAS only)

* ggml : fix Q5_0 qh -> uint32_t

* ggml : fix q5_0 histogram stats

* ggml : q5_0 scalar dot product

* ggml : q5_0 ARM NEON dot

* ggml : q5_0 more efficient ARM NEON using uint64_t masks

* ggml : rename Q5_0 -> Q5_1

* ggml : adding Q5_0 mode

* quantize : add Q5_0 and Q5_1 to map

* ggml : AVX2 optimizations for Q5_0, Q5_1 (#1195)

---------

Co-authored-by: Stephan Walter <stephan@walter.name>
2023-04-26 23:14:13 +03:00
Georgi Gerganov
7a32fcb3b2
ggml : add Q8_0 quantization format (rename the old one to Q8_1) (ARM NEON) (#1179)
* ggml : add Q8_0 quantization format (rename the old one to Q8_1)

* tests : fix test-quantize-fns

* ggml : finalize Q8_0 implementation

* ggml : use q4_0_q8_0 and q4_2_q8_0

* ggml : fix Q8_0 dot product bug (ARM)

* ggml : Q8_0 unroll x2

* ggml : fix bug - using wrong block type

* ggml : extend quantize_fns_t with "vec_dot_type"

* ggml : fix Q8_0 to use 255 values out of 256

* ggml : fix assert using wrong QK4_2 instead of QK4_3
2023-04-25 23:40:51 +03:00
unbounded
dd0eabc049
ggml : use full range for Q4_0 and Q4_2 quantization (#729)
* Use full range for q4_0 quantization

By keeping the sign of the highest magnitude, we can make sure the
highest value maps to -8, which is currently unused.
This is a bit of a freebie since it is fully backwards compatible with
the current format.

* Update quantize_row_q4_0 for AVX/AVX2

* Update quantize_row_q4_0 for WASM

Untested

* Update quantize_row_q4_0 for Arm NEON

* Update quantize_row_q4_0 for PowerPC

Untested

* Use full range for q4_2 quantization
2023-04-25 20:20:46 +03:00
xaedes
54bb60e268
ggml : fix bug in ggml_compute_forward_sum_f32 (#1162)
The sum over all rows is now computed instead of just the last row
2023-04-24 23:02:02 +02:00
Stephan Walter
2ec83428de
Fix build for gcc 8 and test in CI (#1154) 2023-04-24 15:38:26 +00:00
Georgi Gerganov
ec9cdb6752
ggml : do not print perf ops that have not been used at all 2023-04-23 18:32:52 +03:00
Georgi Gerganov
e4422e299c
ggml : better PERF prints + support "LLAMA_PERF=1 make" 2023-04-23 18:15:39 +03:00
Stephan Walter
53c8434398
Improve AVX2 for vec_dot_q4_3_q8_0 (#1138) 2023-04-23 11:01:03 +00:00
Yishuo Wang
c9e2c26f41
A better packNibbles and mul_sum_i8_pairs_float implementation using AVX512 (#1119) 2023-04-23 07:57:05 +00:00
Georgi Gerganov
0e018fe008
ggml : fix Q4_3 cuBLAS 2023-04-22 16:32:07 +03:00
Stephan Walter
c50b628810
Fix CI: ARM NEON, quantization unit tests, editorconfig (#1122) 2023-04-22 10:54:13 +00:00
Georgi Gerganov
872c365a91 ggml : fix AVX build + update to new Q8_0 format 2023-04-22 11:08:12 +03:00
Georgi Gerganov
955ef9a5d5
ggml : alternative Q4_3 implementation using modified Q8_0 (#1109)
* ggml : prefer vzip to vuzp

This way we always use the same type of instruction across all quantizations

* ggml : alternative Q4_3 implementation using modified Q8_0

* ggml : fix Q4_3 scalar imlpementation

* ggml : slight improvement of Q4_3 - no need for loop unrolling

* ggml : fix AVX paths for Q8_0 quantization
2023-04-22 10:55:35 +03:00
Stephan Walter
c5aa5e5777
ggml : AVX2 optimization for vec_dot_q4_3_q8_0 and refactoring (#1099)
* AVX2 optimization for vec_dot_q4_3_q8_0 and refactoring

* finish AVX vectorization of quantize_row_q8_0

* Rename hsum_int_8 to hsum_i32_8
2023-04-22 10:37:05 +03:00