Commit Graph

437 Commits

Author SHA1 Message Date
Djip007
2cd43f4900
ggml : more perfo with llamafile tinyblas on x86_64 (#10714)
* more perfo with llamafile tinyblas on x86_64.

- add bf16 suport
- change dispache strategie (thanks:
https://github.com/ikawrakow/ik_llama.cpp/pull/71 )
- reduce memory bandwidth

simple tinyblas dispache and more cache freindly

* tinyblas dynamic dispaching

* sgemm: add M blocs.

* - git 2.47 use short id of len 9.
- show-progress is not part of GNU Wget2

* remove not stable test
2024-12-24 18:54:49 +01:00
Diego Devesa
60cfa728e2
ggml : use wstring for backend search paths (#10960)
ggml-ci
2024-12-24 04:05:27 +01:00
Diego Devesa
3327bb0f8d
ggml : fix arm enabled features check (#10961) 2024-12-24 04:05:17 +01:00
Diego Devesa
32d6ee6385
ggml : fix const usage in SSE path (#10962) 2024-12-23 20:25:52 +01:00
yuri@FreeBSD
7024d59e6a
ggml : fix run-time on FreeBSD in get_executable_path() (#10948) 2024-12-23 01:20:11 +01:00
Jeff Bolz
ebdee9478c
vulkan: build fixes for 32b (#10927)
* vulkan: build fixes for 32b

Should fix #10923

* vulkan: initialize some buffer/offset variables
2024-12-22 10:44:01 +01:00
Jeff Bolz
a91a41364b
vulkan: optimize coopmat2 dequant functions (#10855)
Change the code to do 16b loads when possible and extract the appropriate
component late, so the code is effectively decoding a pair of elements and
then selecting one. This can allow more commoning to happen in the compiler
when neighboring elements are loaded.
2024-12-21 08:04:45 +01:00
Adrien Gallouët
e34c5af43f
ggml-cpu: replace NEON asm with intrinsics in ggml_gemv_q4_0_4x8_q8_0() (#10874)
* ggml-cpu: replace NEON asm with intrinsics in ggml_gemv_q4_0_4x8_q8_0()

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* ggml-cpu: format code

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

---------

Signed-off-by: Adrien Gallouët <angt@huggingface.co>
2024-12-21 00:33:37 +01:00
Akarshan Biswas
eb5c3dc64b
SYCL: Migrate away from deprecated ggml_tensor->backend (#10840)
* Migrate to tensor->buffer for checking backend buffer type: 1

* SYCL: common.cpp try to migrate away from tensor->backend

* SYCL: fix assertions and add proper comments

* SYCL: remove extra space

* SYCL: Add back static to ggml_backend_buffer_is_sycl_split function

* SYCL: Add pragma directive to suppress warning spam

* SYCL: Integrate debug logs with GGML_LOG and other fixes

* Revert "SYCL: Integrate debug logs with GGML_LOG and other fixes"

This reverts commit 2607b7de0f.
Let's keep the current SYCL specific logging mechanism for now

* SYCL: Use GGML_SYCL_DEBUG after reverting

* SYCL: reg_get_proc_address func, update to the current func signature

* SYCL: Refactor SYCL buffer checks in ggml_sycl_cpy_tensor_2d
2024-12-20 23:31:28 +08:00
Diego Devesa
21ae3b9be8
ggml : add test for SVE and disable when it fails (#10906) 2024-12-20 13:31:28 +01:00
Adrien Gallouët
a3c33b1dce
ggml: fix arm build with gcc (#10895)
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
2024-12-19 14:20:41 +01:00
Diego Devesa
9177484f58
ggml : fix arm build (#10890)
* ggml: GGML_NATIVE uses -mcpu=native on ARM

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* ggml: Show detected features with GGML_NATIVE

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* remove msvc support, add GGML_CPU_ARM_ARCH option

* disable llamafile in android example

* march -> mcpu, skip adding feature macros

ggml-ci

---------

Signed-off-by: Adrien Gallouët <angt@huggingface.co>
Co-authored-by: Adrien Gallouët <angt@huggingface.co>
2024-12-18 23:21:42 +01:00
Georgi Gerganov
0bf2d10c55
tts : add OuteTTS support (#10784)
* server : add "tokens" output

ggml-ci

* server : output embeddings for all tokens when pooling = none

ggml-ci

* server : be explicit about the pooling type in the tests

ggml-ci

* server : do not normalize embeddings when there is no pooling

ggml-ci

* llama : add OuteTTS support (wip)

* wip

* extract features

* first conv

* group norm

* resnet conv

* resnet

* attn

* pos net

* layer norm

* convnext

* head

* hann window

* fix n_embd + remove llama.cpp hacks

* compute hann window

* fft

* spectrum processing

* clean-up

* tts : receive input text and generate codes

* clip : fix new conv name

* tts : minor fix

* tts : add header + minor fixes

ggml-ci

* tts : add matchematical constant

ggml-ci

* tts : fix sampling + cut initial noise

* tts : fixes

* tts : update default samplers

ggml-ci

* tts : text pre-processing

* tts : outetts-voc -> wavtokenizer-dec

* tts : remove hardcoded constants

ggml-ci

* tts : fix tensor shapes

* llama : refactor wavtokenizer tensors

ggml-ci

* cont

ggml-ci

* cont [no ci]

* llama : update WavTokenizer to non-causal attn

* llama : handle no-vocab detokenization

* tts : add Python example for OuteTTS (wip)

* tts : extend python example to generate spectrogram

ggml-ci

* server : fix rebase artifacts

* tts : enable "return_tokens" in Python example

ggml-ci

* tts : minor fixes

* common : support HF download for vocoder
2024-12-18 19:27:21 +02:00
Johannes Gäßler
081b29bd2a
tests: add tests for GGUF (#10830) 2024-12-17 19:09:35 +01:00
Georgi Gerganov
78f766768d
cmake : fix "amd64" processor string (whisper/2638) 2024-12-17 18:35:49 +02:00
gn64
8dd19a4812
vulkan : fix soft_max.comp division by zero (whisper/2633)
This change prevents a division by zero error when p.KY is 0.
2024-12-17 18:35:49 +02:00
Daniel Bevenius
130d0c90bd
ggml : remove return from ggml_gallocr_allocate_node (ggml/1048)
This commit removes the return statement from ggml_gallocr_allocate_node
function.

The motivation behind this change is to make the code more readable and
consistent.
2024-12-17 18:35:49 +02:00
Daniel Bevenius
3919da8e33
ggml : add check for grad_accs (ggml/1046)
* ggml : add check for grad_accs

This commit adds a check for grad_accs in ggml_graph_get_grad and
ggml_graph_get_grad_acc functions. This is necessary to avoid segfaults
when grad_accs is not initialized.

The motivation for this change is that I find it nice to be able to
print out a computation graph using ggml_graph_print but this function
segfaults when grad_accs is not initialized:
```console
(gdb) p g1
$2 = (ggml_cgraph *) 0x7ffff66004b0
(gdb) p *g1
$3 = {size = 2048, n_nodes = 1, n_leafs = 2, nodes = 0x7ffff6600500,
grads = 0x0, grad_accs = 0x0, leafs = 0x7ffff6604500,
visited_hash_set = {size = 4099, used = 0x7ffff6610518,
keys = 0x7ffff6608500}, order = GGML_CGRAPH_EVAL_ORDER_LEFT_TO_RIGHT}
(gdb) p ggml_graph_print(g1)
=== GRAPH ===
n_nodes = 1

Program received signal SIGSEGV, Segmentation fault.
0x0000555555579775 in ggml_graph_get_grad
(cgraph=0x7ffff66004b0,node=0x7ffff6600340)
    at /ggml/ggml/src/ggml.c:5990
5990  return igrad != GGML_HASHSET_FULL &&
          ggml_bitset_get(cgraph->visited_hash_set.used, igrad) ?
          cgraph->grads[igrad] : NULL;
```

* squash! ggml : add check for grad_accs

Fix the check in ggml_graph_get_grad. The check was incorrectly using
cgraph->grad_accs instead of cgraph->grads.
2024-12-17 18:35:48 +02:00
Georgi Gerganov
0006f5a74a
ggml : update ggml_backend_cpu_device_supports_op (#10867)
* ggml : fix cpy op for IQ-quants to use reference impl

ggml-ci

* ggml : disable tests involving i-matrix quantization

* ggml : update ggml_backend_cpu_device_supports_op

ggml-ci
2024-12-17 18:35:42 +02:00
Eve
7b1ec53f56
vulkan: bugfixes for small subgroup size systems + llvmpipe test (#10809)
* ensure mul mat shaders work on systems with subgroup size less than 32

more fixes

add test

* only s_warptile_mmq needs to be run with 32 threads or more
2024-12-17 06:52:55 +01:00
Zhiyuan Li
160bc039c8
rwkv6: add wkv6 support for Vulkan backend (#10829)
* rwkv_wkv6 vulkan shader

* RWKV_WKV6 Vulkan op tests passed

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Apply code format changes

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* add [[unroll]] and remove unnecessary conditions

* add uma support

* fix erros in EditorConfig Checker

---------

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
Co-authored-by: Molly Sophia <mollysophia379@gmail.com>
2024-12-16 22:00:46 +01:00
HimariO
ba1cb19cdd
llama : add Qwen2VL support + multimodal RoPE (#10361)
* Barebone Qwen2VL LLM convertor

* Add Qwen2VL cli entrypoint

* [WIP] add qwen2vl arch

* Verify m-rope output

* Add vl-rope/2d-rope support for qwen2vl ViT

* update qwen2vl cli tool

* update 5D tensor op workaround

* [WIP] qwen2vl vision model

* make batch and clip utils compatible with qwen2vl

* [WIP] create inference workflow, gguf convert script but fix

* correcting vision-rope behavior, add the missing last layer back to ViT

* add arg parser to qwen2vl_surgery

* replace variable size array with vector

* cuda-gdb cmake preset

* add fp32 mrope, vision rope kernel

* add fp16 support for qwen2vl and m-rope

* add `GGML_ROPE_TYPE_MROPE`, `GGML_ROPE_TYPE_VISION`

* fix rope op mode switching, out dated func args

* update `llama_hparams`

* update to keep up stream changes

* resolve linter, test errors

* add makefile entry, update speical image padding token

* add mrope unit test, fix few compiler warnings

* rename `mrope` related function, params

* minor updates on debug util, bug fixs

* add `m-rope` testcase to `test-backend-ops`

* Apply suggestions from code review

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

* fix traililng whitespce

* store `llama_hparams.rope_sections` with fixed size array

* update position id tensor size check in GGML_OP_ROPE

* minor updates

* update `ggml_backend_*_supports_op` of unsupported backends

* remote old `rope_section` compare operator

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-12-14 14:43:46 +02:00
lhez
a76c56fa1a
Introducing experimental OpenCL backend with support for Qualcomm Adreno GPUs (#10693)
* [cl][adreno] Add Adreno GPU support

Add new OpenCL backend to support Adreno GPUs

---------

Co-authored-by: Skyler Szot <quic_sszot@quicinc.com>
Co-authored-by: Shangqing Gu <quic_shawngu@quicinc.com>
Co-authored-by: Alexander Angus <quic_aangus@quicinc.com>
Co-authored-by: Hongqiang Wang <quic_wangh@quicinc.com>
Co-authored-by: Max Krasnyansky <quic_maxk@quicinc.com>

* [cl][ci] Add workflow for CL

* [cl][adreno] Fix memory leak for non SMALL_ALLOC path

* opencl: integrate backend dyn.load interface and fix compiler and format warnings

* opencl: remove small-alloc support and fix build errors for non-opencl platforms

* opencl: fixed merge conflict (MUSA added twice in cmake)

* opencl-ci: use RUNNER_TEMP instead of github.workspace

* opencl: fix embed tool invocation with python3

* opencl: CI workflow fixes

* opencl: Clean up small-alloc in CMake files

* opencl: cleanup ggml-opencl2 header file

* opencl: use ulong for offsets and strides in ADD kernel

* opencl: use cl_ulong for all offsets

* opencl: use cl_ulong for sizes and strides

* opencl: use `GGML_LOG_xxx` instead of `fprintf(stderr, ...)`

* opencl: rename backend `opencl2` -> `opencl`

* opencl: rename kernel files `ggml-opencl2` -> `ggml-opencl`

* opencl: make OpenCL required, remove redundant lib and inc directories

* `ggml-base`, `..` and `.` are added by `ggml_add_backend_library`

* opencl: rename backend - funcs, structs, etc `opencl2` -> `opencl`

* opencl: remove copyright marker since main license already covers

* opencl: replace some more OPENCL2 leftovers

* opencl: remove limits on `tensor_extra`

* opencl: use pools for `tensor_extra`

* opencl: fix compiler warnings with GCC and Clang

Still getting the warning about clCreateCmdQueue being obsolete.
Will fix that separately.

* opencl: fail gracefully if opencl devices are not available

Also for unsupported GPUs.

* opencl: fix MSVC builds (string length error)

* opencl: check for various requirements, allow deprecated API

* opencl: update log message for unsupported GPUs

---------

Co-authored-by: Skyler Szot <quic_sszot@quicinc.com>
Co-authored-by: Shangqing Gu <quic_shawngu@quicinc.com>
Co-authored-by: Alexander Angus <quic_aangus@quicinc.com>
Co-authored-by: Hongqiang Wang <quic_wangh@quicinc.com>
Co-authored-by: Max Krasnyansky <quic_maxk@quicinc.com>
2024-12-13 12:23:52 -08:00
谢乃闻
9f35e44592
Fix crash caused by ggml_backend_load_all when launching on Android Activity (#10812)
* Fix crash caused by ggml_backend_load_all when launching on AndroidActivity.

Details:
Calling ggml_backend_load_all during initialization in the AndroidActivity project leads to a crash with the error:
terminating with uncaught exception of type std::__ndk1::__fs::filesystem::filesystem_error: filesystem error: in directory_iterator::directory_iterator(...): Permission denied [./].
This issue occurs because AndroidActivity restricts file access due to sandboxing.

Reproduction:
In the example folder, the LlamaAndroid project can reproduce the crash by calling ggml_backend_load_all first in Java_android_llama_cpp_LLamaAndroid_backend_1init.

* Update ggml/src/ggml-backend-reg.cpp

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2024-12-13 13:56:07 +01:00
Eve
64ae065511
vulkan: small mul_mat_vec optimizations (#10665)
* double the number of rows per workgroup

* Update ggml-vulkan.cpp

* Vulkan: Add VK_EXT_subgroup_size_control support to ensure full subgroups for coopmats

* only increase the number of rows for amd and subgroup size 64

* fix missing NUM_ROWS for mul_mat_vec_iq4_nl_f16_f32, untested

* use subgroup min and max to check for gcn (requires https://github.com/ggerganov/llama.cpp/pull/10721)

* manual merge ggml-vulkan.cpp

* set min and max subgroup size in any case

* Also double the number of rows for Intel GPUs
2024-12-13 09:42:04 +01:00
Akarshan Biswas
83ed24a97b
SYCL: Reduce most of the compiler warnings (#10748)
* Try to reduce some unused and typecast warnings

* Reduce compiler warnings step 2

* add a newline at the end of the file

* Initialize nreduce as size_t

* [SYCL] Remove pragma directives from mmq.cpp

* SYCL: mmq add condition to prevent blocks_per_tile_x_row variable from becoming 0

* SYCL softmax: Initialize nreduce as size_t

* ggml-sycl.cpp: fix some trailing whitespaces

* SYCL: remove the unused variables instead of commenting it out

* SYCL poo2d kernel: set NAN for invalid pooling op

* SYCL gemm.hpp: remove pragma directives

* SYCL gemm.hpp: use const cast to properly support dnnl::memory

* SYCL: wkv6 remove a comment

* SYCL: clean comments step 2

* SYCL: clean comments and variables step 3

* SYCL: Use GGML_UNUSED for unused variables

* SYCL: remove extra empty lines and a comment

* Remove TODO

* cleanup spaces

* add a stdout for unsupported op

* use sycl printf over fprintf

* remove prints for CI

* SYCL ggml-sycl: pool2D use sycl::nan and remove if-else block

---------

Co-authored-by: Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com>
2024-12-13 12:12:15 +05:30
Karol Kontny
d583cd03f6
ggml : Fix compilation issues on ARM platform when building without fp16 (#10811) 2024-12-13 01:04:19 +01:00
a3sh
8faa1d4dd4
CUDA: faster non-contiguous concat (#10760)
* faster uncontiguous concat

* Use a lambda to avoid code duplication

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

* Update ggml/src/ggml-cuda/concat.cu

* add constexpr  and static assert

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2024-12-12 19:09:50 +01:00
Diego Devesa
cb13ef85a4
remove CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS (#10797)
other windows build fixes
2024-12-12 19:02:49 +01:00
0cc4m
4064c0e3b6
Vulkan: Use improved q4_k and q5_k dequant code in dequant shaders (#10798) 2024-12-12 18:36:00 +01:00
0cc4m
dc5301d565
Vulkan: Add VK_EXT_subgroup_size_control support to ensure full subgroups for coopmats (#10721)
* Vulkan: Add VK_EXT_subgroup_size_control support to ensure full subgroups for coopmats

* Fix subgroup size control extension support check

Add accf32 and accf16 checks for coopmats

* Also disable coopmats on amdvlk
2024-12-12 18:35:37 +01:00
Gilad S.
43041d2eb3
ggml: load all backends from a user-provided search path (#10699)
* feat: load all backends from a user-provided search path

* fix: Windows search path

* refactor: rename `ggml_backend_load_all_in_search_path` to `ggml_backend_load_all_from_path`

* refactor: rename `search_path` to `dir_path`

* fix: change `NULL` to `nullptr`

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

* fix: change `NULL` to `nullptr`

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2024-12-11 01:47:21 +01:00
Jeff Bolz
b685daf386
vulkan: request round-to-even for fp16 in im2col/rope_head (#10767)
Vulkan doesn't mandate a specific rounding mode, but the shader_float_controls
feature allows rounding mode to be requested if the implementation supports it.
2024-12-10 21:23:17 +01:00
Eve
dafae66cc2
vulkan: dynamic subgroup size for the remaining k quants (#10745)
* q5_k

q4_k

q3_k

q2_k

q6_k multi row example

* revert as multi row isnt faster for k quants
2024-12-10 20:33:23 +01:00
Andreas Kieslinger
750cb3e246
CUDA: rename macros to avoid conflicts with WinAPI (#10736)
* Renames NVIDIA GPU-architecture flags to avoid name clashes with WinAPI. (e.g. CC_PASCAL, GPU architecture or WinAPI pascal compiler flag?)

* Reverts erroneous rename in SYCL-code.

* Renames GGML_CUDA_MIN_CC_DP4A to GGML_CUDA_CC_DP4A.

* Renames the rest of the compute capability macros for consistency.
2024-12-10 18:23:24 +01:00
Jeff Bolz
a05e2afcc2
vulkan: disable spirv-opt for coopmat shaders (#10763)
There are some bugs in the 1.3.296 SDK, so disable this. It isn't strictly
necessary anyway.

Add missing dependency on vulkan-shaders-gen, so shaders get recompiled when it
changes.

Fix coopmat support reporting when glslc doesn't support NV_coopmat2.
2024-12-10 18:22:20 +01:00
Johannes Gäßler
26a8406ba9
CUDA: fix shared memory access condition for mmv (#10740) 2024-12-09 20:07:12 +01:00
Jeff Bolz
3d98b4cb22
vulkan: fix compile warnings (#10731) 2024-12-09 08:24:01 +01:00
stduhpf
06d70147e6
Vulkan: fix NaN in tanh.comp with AMD proprietary driver on Windows (#10723)
* Vulkan: fix NaN in tanh.comp

* Faster NaN-free tanh
2024-12-08 19:19:19 +01:00
Jeff Bolz
ecc93d0558
vulkan: compile a test shader in cmake to check for coopmat2 support (#10713) 2024-12-08 09:05:55 +01:00
Georgi Gerganov
d9c3ba2b77
ggml : disable iq4_nl interleave size 8 (#10709)
ggml-ci
2024-12-07 18:38:15 +02:00
Djip007
19d8762ab6
ggml : refactor online repacking (#10446)
* rename ggml-cpu-aarch64.c to .cpp

* reformat extra cpu backend.

- clean Q4_0_N_M and IQ4_0_N_M
  - remove from "file" tensor type
  - allow only with dynamic repack

- extract cpu extra bufts and convert to C++
  - hbm
  - "aarch64"

- more generic use of extra buffer
  - generalise extra_supports_op
  - new API for "cpu-accel":
     - amx
     - aarch64

* clang-format

* Clean Q4_0_N_M ref

Enable restrict on C++

* add op GGML_OP_MUL_MAT_ID for Q4_0_N_M with runtime repack

* added/corrected control on tensor size for Q4 repacking.

* Update ggml/src/ggml-cpu/ggml-cpu-aarch64.cpp

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

* Update ggml/src/ggml-cpu/ggml-cpu-aarch64.cpp

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

* add debug logs on repacks.

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-12-07 14:37:50 +02:00
0cc4m
3df784b305
Vulkan: VK_KHR_cooperative_matrix support to speed up prompt processing (#10597)
* Vulkan: Implement VK_KHR_cooperative_matrix support in the matrix matrix multiplication shader

* Improve performance with better q4_k and q5_k dequant and store unrolling

* Add Vulkan MUL_MAT and MUL_MAT_ID accumulator precision selection

* Rework mulmat shader selection and compilation logic, avoid compiling shaders that won't get used by device

* Vulkan: Implement accumulator switch for specific mul mat mat shaders

* Vulkan: Unroll more loops for more mul mat mat performance

* Vulkan: Add VK_AMD_shader_core_properties2 support to read Compute Unit count for split_k logic

* Disable coopmat support on AMD proprietary driver

* Remove redundant checks

* Add environment variable GGML_VK_DISABLE_COOPMAT to disable VK_KHR_cooperative_matrix support

* Fix rebase typo

* Fix coopmat2 MUL_MAT_ID pipeline selection
2024-12-07 10:24:15 +01:00
Robert Ormandi
86a1934978
metal : Extend how Llama.cpp locates metal resources (#10676)
* metal : Extend how Llama.cpp locates metal resources (#10675)

  * It searches the resource file in the directory where the current
    binary is located as well.
  * Resolves symbolic links.

Rationale:

When we plug this dependency into a Bazel build and run it in the
context of Bazel (e.g. testing):

  * the execution directory is often very different from where the files
    are located and no direct control over this (Bazel sandboxing),
  * the Bazel sandbox often use symbolic links to make files available.

With this patch, we can have the resource file added to the target,
can build and run tests in the context of Bazel.

* Update ggml/src/ggml-metal/ggml-metal.m

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

* Update ggml/src/ggml-metal/ggml-metal.m

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

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-12-07 09:55:01 +02:00
Jeff Bolz
c9c6e01dae
vulkan: Add VK_NV_cooperative_matrix2 support for mul_mat and flash attention (#10206) 2024-12-05 20:15:05 +01:00
PAB
a8cbab201d
ggml: add GGML_SET Metal kernel + i32 CPU kernel (ggml/1037)
* implemented cpu kernel

* add i32 test cases in test-backend-ops

* typedef `ggml_metal_kargs_set`

* implemented `kernel_set`

* memcpy
2024-12-05 13:27:33 +02:00
PAB
c2082d93a8
ggml : add GGML_PAD_REFLECT_1D operation (ggml/1034)
* ggml_pad_reflect_1d defined in header

* implemented on CPU

* called the forward pass

* impl Metal kernel

* added Metal kernel

* added OP_PAD_REFLECT_1D in test-backend-ops.cpp

* add test-pad-reflect-1d test case

* test case support multiple backend
2024-12-05 13:27:31 +02:00
Diego Devesa
59f4db1088
ggml : add predefined list of CPU backend variants to build (#10626)
* ggml : add predefined list of CPU backend variants to build

* update CPU dockerfiles
2024-12-04 14:45:40 +01:00
Diego Devesa
2803540814
ggml-cpu : fix HWCAP2_I8MM value (#10646) 2024-12-04 14:40:44 +01:00
Jeff Bolz
2759916d86
vulkan: Implement "fast divide" (mul+shift) for unary ops like copy (#10642) 2024-12-04 08:28:59 +01:00