Commit Graph

44 Commits

Author SHA1 Message Date
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
Georgi Gerganov
f3f65429c4
llama : reorganize source code + improve CMake (#8006)
* scripts : update sync [no ci]

* files : relocate [no ci]

* ci : disable kompute build [no ci]

* cmake : fixes [no ci]

* server : fix mingw build

ggml-ci

* cmake : minor [no ci]

* cmake : link math library [no ci]

* cmake : build normal ggml library (not object library) [no ci]

* cmake : fix kompute build

ggml-ci

* make,cmake : fix LLAMA_CUDA + replace GGML_CDEF_PRIVATE

ggml-ci

* move public backend headers to the public include directory (#8122)

* move public backend headers to the public include directory

* nix test

* spm : fix metal header

---------

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

* scripts : fix sync paths [no ci]

* scripts : sync ggml-blas.h [no ci]

---------

Co-authored-by: slaren <slarengh@gmail.com>
2024-06-26 18:33:02 +03:00