Skip to content

sync : ggml #3300

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 35 commits into from
Jul 1, 2025
Merged

sync : ggml #3300

merged 35 commits into from
Jul 1, 2025

Conversation

ggerganov
Copy link
Member

No description provided.

danbev and others added 30 commits July 1, 2025 12:20
This commit renames the variable `best_mad` to `best_error` in the
`make_qkx2_quants` function.

The motivation for this is that the name `best_mad` can be somewhat
confusing if mean absolute deviation (MAD) is not in use.
* add "align corners" mode for bilinear upscale, and allow downscaling
* add ggml_interpolate, deprecate ggml_upscale_ext, pass in align-corners as bit-flag
* test-backend-ops: replace ggml_upscale_ext with ggml_interpolate, add test cases for downscale and align-corners
…llama/13792)

* Add support for VK_EXT_debug_utils to add labels to Vulkan objects. In step 1 compute pipelines are getting labeled.

* remove #ifdef for debug utils and add queue marker.
* CUDA: add mean operation

* add back sum_rows_f32_cuda

* Review: early exit if col!=0
* CUDA: mul_mat_v support for batch sizes > 1

* use 64 bit math for initial offset calculation
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
…g (llama/14254)

* Move profiling info into `ggml_backend_opencl_context`
* Add `enqueue_ndrange_kernel` to launch kernel
* ggml-cpu: add nnpa compile flag

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 4a9f60c201573128f73a65999b3e5cc497fae5c1)

* ggml-cpu: add fp16->fp32 nnpa first

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 8d4a7987f9c1887f716be96250f2caeee0253929)

* ggml-cpu: add fp32->fp16

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 0ff0d6516247a41d2ade42b42cf0d676a4dd1627)

* ggml-cpu: better variable names

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 2f58bbcbb89c183340e252362b2a40651f573f1f)

* docs: update s390x docs

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 01b929491b50071a5d0572235dcf5a449da70aa7)

* ggml-cpu: add debugging prints to see if dlf16 is correct

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix print vs printf

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix float placeholder

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: ensure fp16 and fp32 load and stores are called

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fp16 load ensured to hit

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: remove sigint from fp16 store

for some reason, the function is not getting a hit when debugged with
    gdb. we will need to investigate further

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: activate nnpa for ggml_cpu_fp16_to_fp32

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: nnpa activate ggml_cpu_fp16_to_fp32 for 8 elements

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: nnpa switch to vec_xst test

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: switch to vec_xst for 4 element loops also

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: rework noop

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: remove noop, general code cleanup

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: clarify variable naming

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: activate nnpa for ggml_cpu_fp32_to_fp16

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add breakpoint for debugging

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: test fix for conversion failure

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: disable fp32->fp16 nnpa conversions for now

there are some conversion failures in nnpa that requires the eyes of an
ibm stsm. will create a separate pr to introduce the fp32->fp16 change.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: switch to elif macro

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: reattempt fp32->fp16

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix typo

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: reattempt fp32->fp16

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix compiler types

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: change to typedef vector types

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add 4 element loops for fp32->fp16

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: clarified vector naming

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: bring back fp32->fp16 store nnpa

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: activate nnpa fp32->fp16 or fp16->fp32 compute

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add nnpa macro check in ggml-impl

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add missing __func__

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: diagnose why __NNPA__ macro is not being defined

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: import vecintrin.h to fix compiler errors

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: update macro tests

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: move s390x typedef to own header file

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml-cpu: move s390x typedef to own header file"

This reverts commit 157f856c34589566151630e294563a420702db39.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: switch to importing ggml-cpu-impl instead

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix macro declaration

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: test more macros

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add debug prints

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: bruteforce macro definitions

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: move macro definitions

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add ggml-impl.h to cmakelists

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: switch to private macros

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: move s390x typedef to own header file

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 157f856c34589566151630e294563a420702db39)

* ggml-cpu: move things around

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: bring back compile macros

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: switch to quotes for import

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add compiler error macro

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add s390x detection in ggml-src

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: bring back compile definitions

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: undo cmakelists work

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml-cpu: move s390x typedef to own header file"

This reverts commit 18d79e1a30b39d9aaa0bd58400c5cf2c32135c9a.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: remove typedefs.h

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: remove typedef from cmakelists

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add ggml-impl.h future notes

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add todo comment for future reference

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: clarify naming of dlf16

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: remove unnecessary target compile definitions

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: move nnpa fp16->fp32 and fp32->fp16 to simd-mappings

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: refactor fp32->fp16 and fp16->fp32 simd to ggml-cpu

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* docs: update broken huggingface link for s390x

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix duplicate func names during compile

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml-cpu: fix duplicate func names during compile"

This reverts commit fbb733451f27677063b914d4f6c9a9841d45b38d.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml: refactor fp32->fp16 and fp16->fp32 simd to ggml-cpu"

This reverts commit bd288e8fa52b5244f65cee21cb61062f1a9e0ca5.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: refactor fp16<->fp32 simd to ggml-cpu

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix missing simd-mappings.h import in quants.c

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix missing simd-mappings.h within repack

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix amx mmq missing simd-mappings.h

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: attempt at fixing loongarch failing build

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: move nnpa together with other fp16<->fp32 simd

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix wrong refactor of ggml-base

ref: ggml-org/llama.cpp#14317 (comment)

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: remove dependency on ggml-cpu from ggml-base

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: rename all fp16<->fp32 macros to prefix with ggml_cpu

ref: ggml-org/llama.cpp#14317 (comment)

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: remove mistaken fallback macro

fallback logic was already implemented but i was too sleepy to realise

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: move ggml_table_f32_f16 to ggml-cpu

ref: ggml-org/llama.cpp#14317 (comment)

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: move ggml_table_f32_f16 back to ggml-base due to ci failures

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml-cpu: move ggml_table_f32_f16 back to ggml-base due to ci failures"

This reverts commit 32a3533564bdb7902cefb9c89b1c9e956a81ce29.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml: move ggml_table_f32_f16 to ggml-cpu"

This reverts commit 9e40d984ad27d7b60392fb2b7548885201864fe4.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: move ggml_table_f32_f16 to ggml-cpu

ref: ggml-org/llama.cpp#14317 (comment)

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 9e40d984ad27d7b60392fb2b7548885201864fe4)

* ggml: move ggml_table_f32_f16 to ggml-cpu.c

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: extern c ggml_table_f32_f16 + chore docs

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: dedup ggml_table_f32_f16 from simd-mappings.h

we rely on the variable declaration in ggml-cpu.c instead

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml-cpu: dedup ggml_table_f32_f16 from simd-mappings.h"

This reverts commit f71b21d2f74f5e03ec0c2b4fefd3cbf395aecf16.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: bring back ggml_table_f32_f16

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml-cpu: bring back ggml_table_f32_f16"

This reverts commit 2dce119178bed5ef5c8398c4230ddd14fef80e49.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* fix ggml time initialization

* fix f32_f16 table init

* remove extra line

---------

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
Co-authored-by: slaren <slarengh@gmail.com>
* musa: enable fp16 mma (all) and cublas on qy2

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

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

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

* Address review comments

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Address review comments

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* musa: disable MUL_MAT_ID (q2_k × f32) due to precision issues

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

---------

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
* metal : batch rows copy in a single threadgroup

ggml-ci

* metal : handle some edge cases when threadgroup size is not a power of 2

ggml-ci
…398)

* Add shaders-gen sources as target deps
* ggml : add ggml_set_rows

Add ggml_set_rows(a, b, c) which copies rows from 'b' into 'a' using
indices from 'c'.

ref: #8366

* use I64 for indices

* ggml : add repeat impl for i64

* ggml : add ggml_is_contiguous_rows

* ggml : ggml_set_rows support broadcast

* ggml : ggml_set_rows support quantized dst

ggml-ci

* ggml : support GGML_TYPE_F32 ".from_float" trait

* ggml : ggml_set_rows update comment + better index name

* tests : add ggml_set_rows

* metal : add ggml_set_rows implementation

ggml-ci

* ggml : simplify forward_dup_f32

* ggml : fix supports_op

* tests : add comment to set_rows

* ggml : leave the repeat_i64 for a separate PR

ggml-ci

* ggml : set_rows use std::min instead of MIN

* ggml : better error message for set_rows unsupported type

* metal : perform op->type check only once

* tests : more consistent implementation + more tests

ggml-ci

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This setting needs to be passed through to vulkan-shaders-gen
* CUDA: add bf16 and f32 support to cublas_mul_mat_batched

* Review: add type traits and make function more generic

* Review: make check more explicit, add back comments, and fix formatting

* Review: fix formatting, remove useless type conversion, fix naming for bools
* vulkan: Add fusion support for RMS_NORM+MUL

- Add a use_count to ggml_tensor, so we can detect if an output is used more than once.
- Change the ggml-vulkan rms_norm shader to optionally multiply by another tensor.
- Add detection logic and basic fusion logic in ggml-vulkan.
- Add some testing support for fusion. Rather than computing one node at a time, allow
for computing the whole graph and just testing one node's results. Add rms_norm_mul tests
and enable a llama test.

* extract some common fusion logic

* fix -Winconsistent-missing-override

* move ggml_can_fuse to a common function

* build fix

* C and C++ versions of can_fuse

* move use count to the graph to avoid data races and double increments when used in multiple threads

* use hash table lookup to find node index

* change use_counts to be indexed by hash table slot

* minimize hash lookups

style fixes

* last node doesn't need single use.
fix type.
handle mul operands being swapped.

* remove redundant parameter

---------

Co-authored-by: slaren <slarengh@gmail.com>
* implement unary REGLU/GEGLU/SWIGLU cpu ops

* relax constraints

* duplicate shape of source

* fix ggml_vec_geglu_f16

* special case gated ops

* implement unary REGLU/GEGLU/SWIGLU cuda ops

* tighten constraints again

* refactor into GGML_GLU_OP

* metal : add glu kernels

ggml-ci

* add CUDA_GLU_BLOCK_SIZE [no ci]

* more constraints and use 64bit ints

ggml-ci

* 64bit multiplication [no ci]

* implement swapped variants (cpu/cuda)

* update comment [no ci]

ggml-ci

* Vulkan: Add GLU ops and shaders

* SYCL: Implement fused kernel GEGLU, SWIGLU and REGLU for single up+gate

* ggml : implement GLU for split up/gate (llama/14181)

* implement GLU for split up/gate

* add tests for ggml_glu_split

* Vulkan: Implement glu_split logic and shader support

* add split to logging [no ci]

* SYCL: refactor element_size ops and add split up and gate support to gated kernels

* SYCL: switch GEGLU to use tanh approximation

---------

Co-authored-by: 0cc4m <picard12@live.de>
Co-authored-by: Akarshan <akarshan@menlo.ai>

* GGML: increase OP count in assertion

* Refactor: Optimize SYCL element-wise operations with unary function inlining

This commit refactors the SYCL element-wise operations to improve performance by:

- Inlining unary operations (sgn, abs, elu, gelu, silu, etc.) to reduce kernel launch overhead.
- Introducing helper functions `op_xxx` for each unary operation to encapsulate the logic.
- Replacing direct kernel calls with calls to these inlined functions.
- Using `__dpct_inline__` to encourage compiler inlining.
- Minor code cleanup and consistency improvements.

The changes aim to reduce kernel launch overhead and improve the overall efficiency of element-wise operations on SYCL devices.

* vulkan: Increase workgroup size for GLU, for performance (llama/14345)

* vulkan: Increase workgroup size for GLU, for performance

* vulkan: change GLU shaders to do one element per invocation rather than one row per workgroup

* merge fix

* metal : add support for split and swap

ggml-ci

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: 0cc4m <picard12@live.de>
Co-authored-by: Akarshan <akarshan@menlo.ai>
Co-authored-by: Jeff Bolz <jbolz@nvidia.com>
* SYCL: disable faulty fp16 CPU exponent for now

* Revert "SYCL: disable faulty fp16 CPU exponent for now"

This reverts commit ed0aab1ec31b4eb4b0f275dd7acd41d96a375202.

* SYCL: disable faulty fp16 CPU exponent for now

* Fix logic of disabling exponent kernel
* Update docker.yml

修改docker.yml文件中的内容使其停止周期性的运行该workflow,如果想要运行该workflow可以手动启动

* Remove redundant include path in CMakeLists.txt

The parent directory '..' was removed from the include directories for the ggml-cpu-feats target, to avoid unnecessary include paths.

* Enable scheduled Docker image builds

Uncomments the workflow schedule to trigger daily Docker image rebuilds at 04:12 UTC, improving automation and keeping images up to date.
* metal : disable fast-math for some cpy kernels

ggml-ci

* cont : disable for q4_1

ggml-ci

* cont : disable for iq4_nl

ggml-ci
am17an and others added 5 commits July 1, 2025 12:20
* Conv2D: Add CPU version

* Half decent

* Tiled approach for F32

* remove file

* Fix tests

* Support F16 operations

* add assert about size

* Review: further formatting fixes, add assert and use CPU version of fp32->fp16
ggml-ci
@ggerganov ggerganov merged commit bca021c into master Jul 1, 2025
63 checks passed
@ggerganov ggerganov deleted the sync-ggml-25-07-01 branch July 1, 2025 14:54
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.