Commit graph

5737 commits

Author SHA1 Message Date
Georgi Gerganov
f1f5e82df6
examples : fix is_first logic for tokenization (#14329)
ggml-ci
2025-06-22 20:10:07 +03:00
uvos
af3373f1ad
HIP: enable vec fattn on RDNA4 (#14323) 2025-06-22 16:51:23 +02:00
yuiseki
5d5c066de8
mtmd : fix Pixtral OOM with large images by capping image_size to 1024 (#14326)
Mistral Small 2506 models using Pixtral vision encoder were running out
of GPU memory when processing images larger than 1024x1024 pixels due to
exponential memory growth from unlimited image size.

This fix applies the same 1024x1024 limit used by Qwen2VL models to
prevent OOM issues while maintaining compatibility with existing models.
2025-06-22 14:44:57 +02:00
Sigbjørn Skjæret
40bfa04c95
common : use std::string_view now that we target c++17 (#14319) 2025-06-22 08:37:43 +03:00
Aman Gupta
aa064b2eb7
CUDA: add mean operation (#14313)
* CUDA: add mean operation

* add back sum_rows_f32_cuda

* Review: early exit if col!=0
2025-06-22 12:39:54 +08:00
Sigbjørn Skjæret
aa0ef5c578
gguf-py : fix Qwen3-Embedding eos token (#14314) 2025-06-21 18:12:05 +02:00
Markus Tavenrath
bb16041cae
Add support for VK_EXT_debug_utils to add labels to Vulkan objects. (#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.
2025-06-21 08:17:12 +02:00
Sigbjørn Skjæret
58cba76a9a
gguf-py : fix TemplateProcessing pair when bos/eos is missing (#14312) 2025-06-21 07:33:21 +02:00
Georgi Gerganov
67ae5312e2
metal : fix thread-safety (#14300)
ggml-ci
2025-06-21 08:04:18 +03:00
Georgi Gerganov
692e3cdd0a
memory : rename interface to llama_memory_context_i (#14296)
* memory : rename interface to llama_memory_context_i

ggml-ci

* cont : fix comments

* cont : use "mctx" for referencing a memory context

ggml-ci
2025-06-21 08:03:46 +03:00
Daniel Han
b23fa0b3f4
convert : fix Llama 4 conversion (#14311) 2025-06-21 06:32:01 +02:00
Georgi Gerganov
06cbedfca1 sync : ggml
ggml-ci
2025-06-20 21:02:47 +03:00
Acly
b7147673f2 Add ggml_roll (ggml/1274)
* ggml : add ggml_roll

* use set/get_op_params & std::min
2025-06-20 21:02:47 +03:00
David Chiu
d860dd99a4
docs : fix the link to llama.h (#14293) 2025-06-20 19:43:35 +02:00
Aman Gupta
c959f462a0
CUDA: add conv_2d_transpose (#14287)
* CUDA: add conv_2d_transpose

* remove direct include of cuda_fp16

* Review: add brackets for readability, remove ggml_set_param and add asserts
2025-06-20 22:48:24 +08:00
Sigbjørn Skjæret
22015b2092
lint : remove trailing whitepace (#14304) 2025-06-20 16:37:44 +02:00
Ruikai Peng
dd6e6d0b6a
vocab : prevent tokenizer overflow (#14301)
* vocab : prevent stack overflow in tokenize

* vocab : return error instead of aborting on oversized token count

* vocab : INT32_MIN from llama_tokenize on overflow
2025-06-20 07:13:06 -07:00
Nicolò Scipione
8308f98c7f
sycl: add usage of enqueue_functions extension (#14244)
* Add header and namespace to use enqueue_functions extension

* Convert submit and parallel_for to use new extension in convert.cpp

* Convert submit and parallel_for to use extension in ggml-sycl.cpp

* Convert submit and parallel_for to use extension in gla.cpp

* Convert submit and parallel_for in mmq.cpp

* Convert submit and parallel_for in mmvq.cpp

* Convert submit and parallel_for in remaining files

* Convert all simple parallel_for to nd_launch from enqueue_functions
extension

* Wrapping extension in general function

Create a general function that enable the enqueue_functions extension if
it is enable in the compiler, otherwise call the general SYCL function
to launch kernels.

---------

Signed-off-by: nscipione <nicolo.scipione@codeplay.com>
2025-06-20 15:07:21 +02:00
Christian Kastner
6369be0735
Implement GGML_CPU_ALL_VARIANTS for PowerPC (#14286)
* Add PowerPC feature detection and scoring

* ggml-cpu: Implement GGML_CPU_ALL_VARIANTS for PowerPC

* ggml-cpu: Delay some initializations until function is called

When using GGML_BACKEND_DL=ON, these initializations might use
instructions that are not supported by the current CPU.

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2025-06-20 14:17:32 +02:00
Sigbjørn Skjæret
88fc854b4b
llama : improve sep token handling (#14272) 2025-06-20 14:04:09 +02:00
Diego Devesa
e28c1b93fd
cuda : synchronize graph capture and cublas handle destruction (#14288)
Workarounds an issue that may cause CUDA graph capture to fail when a cuBLAS handle is destroyed in a different thread
2025-06-20 13:57:36 +02:00
Georgi Gerganov
d27b3ca175
ggml : fix repack work size for mul_mat_id (#14292)
ggml-ci
2025-06-20 11:19:15 +03:00
Charles Xu
9230dbe2c7
ggml: Update KleidiAI to v1.9.0 (#14277) 2025-06-20 10:51:01 +03:00
Georgi Gerganov
812939a9e9
model : more uniform output id handling (#14275)
* model : more uniform output id handling

ggml-ci

* cont : revert n_outputs < n_tokens optimization

ggml-ci

* cont : fix out_ids initialization

ggml-ci
2025-06-20 10:50:27 +03:00
Georgi Gerganov
4c9fdfbe15
ubatch : new splitting logic (#14217)
ggml-ci
2025-06-20 10:14:14 +03:00
Aman Gupta
9eaa51e7f0
CUDA: add conv_2d_dw (#14265)
* CUDA: add conv_2d_dw

* better naming

* simplify using template

* Review: fix operation ordering in ggml-cuda, use __forceinline__, use more const
2025-06-20 09:50:24 +08:00
Diego Devesa
8f71d0f3e8
ggml-cpu : remove unnecesary arm feature detection (#14281)
Support for Arm runtime feature detection has now been added to GGML_CPU_ALL_VARIANTS. This removes the old and not very functional code.
2025-06-19 21:24:14 +02:00
Alex Trotta
381174bbda
gguf-py : make sentencepiece optional (#14200)
* Make sentencepiece optional

* Bump to 0.18.0

* Bump patch instead of minor

Co-authored-by: compilade <git@compilade.net>

---------

Co-authored-by: compilade <git@compilade.net>
2025-06-19 15:56:12 +02:00
aa956
d67341dc18
server : add server parameters for draft model cache type (#13782)
Co-authored-by: aa956 <27946957+aa956@users.noreply.github.com>
2025-06-19 16:01:03 +03:00
fanyang
456af35eb7
build : suppress gcc15 compile warnings (#14261)
* Change _contains_any() substrs to std::string_view and fix the find comparison logic.
2025-06-19 14:49:48 +02:00
Anton Mitkov
600e3e9b50
sycl: Cleanup codepaths in Get Rows in sycl backend (#14215)
Addresses unused reorder path
2025-06-19 11:40:21 +01:00
bashayer hijji
fffcce535e
llama-bench : add --no-warmup flag (#14224) (#14270)
Add no_warmup parameter to cmd_params struct and command-line parsing to allow users to skip warmup runs before benchmarking.

- Add no_warmup boolean field to cmd_params struct

- Add --no-warmup command-line argument parsing

- Add help text documentation for the new flag

- Wrap existing warmup logic in conditional check

- Maintain full backward compatibility (warmup enabled by default)

Addresses #14224
2025-06-19 12:24:12 +02:00
pqnet
5fc7856815
convert : fix remote option in Windows (#14100) 2025-06-19 12:21:40 +02:00
Aaron Teo
faed5a5f5d
llamafile : support s390x SIMD instruction set (#14273) 2025-06-19 11:48:54 +02:00
0cc4m
10bb545c5b
Vulkan: Set device max size for host memory to avoid OOM warning and fallback to CPU buffer (#14249) 2025-06-19 09:15:42 +02:00
Gabe Goodhart
edc4a29eff
memory : Hybrid recurrent cache (#13979)
* feat: Add llama_model_is_hybrid API call

Also, split llama_model_is_recurrent into llm_arch_is_recurrent in
llama-arch with llama_model_is_recurrent delegating to
llm_arch_is_recurrent. The same split is done for hybird. This is needed
because there are places where the llama_model has not yet been initialized
but we need to check if the model is recurrent (specifically for the
per-layer recurrent check array in hparams).

Branch: GraniteFour

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Add c++ side constants for attention layer indices hparam

Branch: GraniteFour

* feat: Add support for distinguishing recurrent vs non-recurrent layers in hparams

Branch: GraniteFour

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Auto-fill hparams.recurrent_layer_arr based on whether the model is recurrent

Branch: GraniteFour

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* refactor: rename *_is_hybrid -> *_is_hybrid_recurrent

The implementation of the hybrid cache intentionally does not specify the
types of the child caches, so there was a naming mismatch with these
predicate functions that used "hybrid" to imply "hybrid recurrent."

Branch: HybridCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Add layer filter to recurrent cache

Branch: HybridCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Use per-layer sizing everywhere in kv caches

Branch: GraniteFour

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: First pass at llama_kv_cache_hybrid_recurrent

This follows the pattern in iswa where the two child caches are held
explicitly to support the case where a model requires a single attention
cache and a single recurrent cache where each layer uses exactly one of the
caches.

This is a rewrite of the more generic approach in the original hybrid cache
PR: https://github.com/ggml-org/llama.cpp/pull/13276

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Construct hybrid recurrent cache for hybrid recurrent models

This includes a refactor of the create_memory logic to avoid needing to use
the arch enum explicitly unless a model needs explicit cache instantiation
logic beyond the standard logic for recurrent, hybrid, unified, and iswa.

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Fix wrong bool condition for split equal in hybrid cache

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Fix shift logic to defer to unified cache

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Support hybrid recurrent in llama-graph

NOTE: I intentionally did not add support for s_mask since it will be going
away soon

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Fix logic for initializing inputs and attn layers for hybrid caches

Branch: GraniteFour

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Update recurrent cache for changes to remove intermediate kv_cache interface

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Fix status for init_update sig for recurrent cache state

Branch: GraniteFour

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Add missing padding to n_ctx for hybrid cache construction

Branch: GraniteFour

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Update clear signature for data argument after rebase

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Remove errant virtual destructor leftover from previous impl attempt

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Use per-layer n_embd_k/v_s calls for mamba (1) layers

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* refactor: Remove n_embd_k/v_s from unified cache

No longer needed now that unified isn't also supporting recurrent

https://github.com/ggml-org/llama.cpp/pull/13979#discussion_r2140761069

Branch: HybridRecurrentCache

* refactor: Remove layer index from n_embd_k/v_s

Now that it's not used at all in the unified cache, we don't need to use
the layer index to zero it out for attention layers.

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* refactor: Remove n_embd_k/v_gqa from recurrent cache

This is no longer needed now that there are separate implementations

https://github.com/ggml-org/llama.cpp/pull/13979#discussion_r2140825128

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Allow custom layer filters for hybrid recurrent

This should help support architectures like Falcon H1 where there is
overlap between layers that need attention and recurrent caches.

https://github.com/ggml-org/llama.cpp/pull/13979#discussion_r2140748922

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Remove logits_all after rebase

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Remove llama_model_is_hybrid_Recurrent public API

https://github.com/ggml-org/llama.cpp/pull/13979#discussion_r2141728423

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* refactor: Use llama_memory_state_ptr for child states in hybrid memory state

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Overhaul build_recurrent_state / build_inp_s_copy to match attention pattern

https://github.com/ggml-org/llama.cpp/pull/13979/files#r2141701738

This is a big overhaul to bring consistency between how inputs and per-
layer components are created for attention layers and recurrent layers. The
main changes are:

- Rename class llm_graph_input_s_copy -> llm_graph_input_rs
- Add a corresponding llm_graph_input_rs_hybrid_recurrent
- Rename build_inp_s_copy -> build_rs_inp_recurrent
- Add a corresponding build_rs_inp_hybrid_recurrent
- Rename build_recurrent_state -> build_rs to match build_attn w/
llm_graph_input_rs android-build AUTHORS bamba-9b-2.2T.gguf bamba-9b-2.2T.q4_k_m.gguf broken.log build build-rel build-xcframework.sh build.android build.android.bak ci cmake CMakeLists.txt CMakePresets.json CODEOWNERS common common.o CONTRIBUTING.md convert_hf_to_gguf_update.py convert_hf_to_gguf.py convert_llama_ggml_to_gguf.py convert_lora_to_gguf.py debug.log docs examples flake.lock flake.nix ggml ggml-alloc.o ggml-backend.o ggml-metal.o ggml-model-BF16.gguf ggml-model-Q4_K_M.gguf ggml-quants.o ggml.o gguf-py grammar-parser.o grammars include LICENSE licenses llama.log llama.o llamacpp_trace.log main.log Makefile media models mypy.ini pocs poetry.lock prompts pyproject.toml pyrightconfig.json q4_k_m_boot.log q8_0_boot.log quant.log quant2.log README.md requirements requirements.txt sampling.o scripts SECURITY.md src test-grammar-output.tmp test-json-schema-input.tmp tests tools vendor working.log as the first input
- Add a corresponding overload of build_rs w/
llm_graph_input_rs_hybrid_recurrent android-build AUTHORS bamba-9b-2.2T.gguf bamba-9b-2.2T.q4_k_m.gguf broken.log build build-rel build-xcframework.sh build.android build.android.bak ci cmake CMakeLists.txt CMakePresets.json CODEOWNERS common common.o CONTRIBUTING.md convert_hf_to_gguf_update.py convert_hf_to_gguf.py convert_llama_ggml_to_gguf.py convert_lora_to_gguf.py debug.log docs examples flake.lock flake.nix ggml ggml-alloc.o ggml-backend.o ggml-metal.o ggml-model-BF16.gguf ggml-model-Q4_K_M.gguf ggml-quants.o ggml.o gguf-py grammar-parser.o grammars include LICENSE licenses llama.log llama.o llamacpp_trace.log main.log Makefile media models mypy.ini pocs poetry.lock prompts pyproject.toml pyrightconfig.json q4_k_m_boot.log q8_0_boot.log quant.log quant2.log README.md requirements requirements.txt sampling.o scripts SECURITY.md src test-grammar-output.tmp test-json-schema-input.tmp tests tools vendor working.log as the first input
- Add a llm_graph_input_attn_kv_hybrid_recurrent analogous to
llm_graph_input_attn_kv_unified
- Add a build_attn override that takes
llm_graph_input_attn_kv_hybrid_recurrent android-build AUTHORS bamba-9b-2.2T.gguf bamba-9b-2.2T.q4_k_m.gguf broken.log build build-rel build-xcframework.sh build.android build.android.bak ci cmake CMakeLists.txt CMakePresets.json CODEOWNERS common common.o CONTRIBUTING.md convert_hf_to_gguf_update.py convert_hf_to_gguf.py convert_llama_ggml_to_gguf.py convert_lora_to_gguf.py debug.log docs examples flake.lock flake.nix ggml ggml-alloc.o ggml-backend.o ggml-metal.o ggml-model-BF16.gguf ggml-model-Q4_K_M.gguf ggml-quants.o ggml.o gguf-py grammar-parser.o grammars include LICENSE licenses llama.log llama.o llamacpp_trace.log main.log Makefile media models mypy.ini pocs poetry.lock prompts pyproject.toml pyrightconfig.json q4_k_m_boot.log q8_0_boot.log quant.log quant2.log README.md requirements requirements.txt sampling.o scripts SECURITY.md src test-grammar-output.tmp test-json-schema-input.tmp tests tools vendor working.log as the first input

This makes the two paradigms fully consistent. The main drawback is the
code duplication in the build_attn and build_rs implementations where the
only difference between implementations is how they cast the memory state.

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Fix resize vs reserve and skip null tensors in size computation

https://github.com/ggml-org/llama.cpp/pull/13979/files#r2149469788

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
Co-Authored-By: @younesbelkada

* fix: Fix initialization of child states

Since initially writing this PR, the logic in the child state types changed
such that using the "init full" signature and keeping the ubatches on the
parent struct no longer worked.

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* refactor: Use a common build_recurrent_state method that is cache-agnostic

This reduces the code duplication between the different build_rs impls and
also retains a similar signature to the previous build_recurrent_state
method while standardizing on the input-dispatched build_rs implementation.

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* recurrent : rework graph inputs + add TODOs

ggml-ci

* refactor: Make status and child states const in hybrid and iswa

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* refactor: Rename llama_kv_cache_[recurrent|hybrid_recurrent] to remove kv cache

This removes the notion of "kv" from the interface names for these memory
types. There are still many references to kv in the implementation of the
recurrent memory which will need further adjustment.

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* refactor!: Rename all k/v related values for recurrent/hybrid to r/s

Anywhere that "kv_<state|cell|size|etc>" is used, I've used the more
generic "mem_" prefix. The specifics of "k" (key) translate to "r"
(recurrent state) and "v" (value) translate to "s" (state-space embedding
states).

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* refacor: _recurrent -> _recr for brevity

It just _happens_ to have the same number of letters as _attn!

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* style: Fix spacing for ref

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* refactor: recurrent_layer() -> is_recurrent()

Branch: HybridRecurrentCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* style: Fix spacing for size_s_bytes declaration

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

---------

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2025-06-19 08:08:14 +03:00
Georgi Gerganov
ed3290ab34
metal : add mean kernel (#14267)
* metal : add mean kernel

ggml-ci

* cont : dedup implementation

ggml-ci
2025-06-19 08:05:21 +03:00
Aaron Teo
8d94713654
docs: add s390x build documentation (#14264)
* docs: add s390x-specific build docs

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

* docs: add s390x model conversion steps

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

* docs: s390x build indent

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

* docs: update hyperlinks for s390x docs

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

* docs: update llama.h docs

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

* docs: s390x add accelerator and perf optimizations

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

* docs: s390x indent blocks

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

* docs: revert block indentation

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

* docs: add support information for s390x

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

* docs: s390x reword

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

* docs: remove indentation for accelerator section s390x

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

* docs: remove redundant words s390x

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

* docs: reword for s390x

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

* docs: s390x reword simd

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

* docs: fix trailing whitespace for s390x

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

---------

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
2025-06-18 18:10:26 +01:00
Aaron Teo
50d2227953
ggml-cpu: reduce asm calls for hsum (#14037)
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
2025-06-18 18:10:08 +01:00
Aaron Teo
6231c5cd6d
ggml-cpu: fix uncaught underscore terminators (#14023)
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
2025-06-18 18:06:49 +01:00
Charles Xu
ef035803eb
ggml: Add Apple support for GGML_CPU_ALL_VARIANTS (#14258) 2025-06-18 12:40:07 +01:00
Xuan-Son Nguyen
413977de32
mtmd : refactor llava-uhd preprocessing logic (#14247)
* mtmd : refactor llava-uhd preprocessing logic

* fix editorconfig
2025-06-18 10:43:57 +02:00
Xuan-Son Nguyen
95402553a5
llama-chat : fix multiple system message for gemma, orion (#14246) 2025-06-18 09:58:43 +02:00
Sigbjørn Skjæret
3865cff4f5
convert : fix null head_dim AutoConfig regression (#14248) 2025-06-18 09:52:07 +02:00
Georgi Gerganov
d03172cc79 sync : ggml
ggml-ci
2025-06-18 09:59:21 +03:00
Daniel Bevenius
dd8e59f443 ggml : disable warnings for tests when using MSVC (ggml/1273)
* ggml : disable warnings for tests when using MSVC

This commit disables warnings for tests on windows when using MSVC.

The motivation for this is that this brings the build output more
inline with what Linux/MacOS systems produce.

There is still one warning generated for the tests which is:
```console
  Building Custom Rule C:/ggml/tests/CMakeLists.txt
cl : command line  warning D9025: overriding '/DNDEBUG' with '/UNDEBUG'
[C:\ggml\build\tests\test-arange.vcxproj]
  test-arange.cpp
  test-arange.vcxproj -> C:\ggml\build\bin\Release\test-arange.exe
```

* ggml : fix typo in tests disable list
2025-06-18 09:59:21 +03:00
Daniel Bevenius
bbe98d2784 ggml : remove unused ggml_context_container (ggml/1272)
This commit removes the unused `ggml_context_container` structure from
the ggml library. It looks like the usage of this struct was removed in
Commit 4757fe18d56ec11bf9c07feaca6e9d5b5357e7f4 ("ggml : alloc
ggml_contexts on the heap (whisper/2525)").

The motivation for this changes is to improve code clarity/readability.
2025-06-18 09:59:21 +03:00
Daniel Bevenius
c2056ed6d4 examples : include examples in msvc disable warn (ggml/1270)
This commit adds the examples in the "list" of targets to ignore MSVC
warnings.

The motivation for this is that currently the examples generate a number
of warnings that are ignore/disabled for the core ggml project. This
makes for a cleaner output when building.
2025-06-18 09:59:21 +03:00
bandoti
c46503014d
cmake: remove shader-gen step-targets from ggml-vulkan (#14226)
* Remove step-targets from vulkan-shaders-gen

* Unset DESTDIR when building vulkan-shaders-gen
2025-06-17 22:33:25 +02:00
xctan
860a9e4eef
ggml-cpu : remove the weak alias trick (#14221) 2025-06-17 12:58:32 +03:00