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Merge from upstream#9

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pi6am merged 1379 commits intopi6am:concedofrom
LostRuins:concedo
Jul 16, 2025
Merged

Merge from upstream#9
pi6am merged 1379 commits intopi6am:concedofrom
LostRuins:concedo

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@pi6am pi6am commented Jul 16, 2025

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ggerganov and others added 30 commits June 10, 2025 18:39
ggml-ci
…org#13834)

* kv-cache : avoid modifying recurrent cells when setting inputs

* kv-cache : remove inp_s_mask

It was replaced with equivalent and simpler functionality
with rs_z (the first zeroed state) and the already-existing inp_s_copy.

* kv-cache : fix non-consecutive token pos warning for recurrent models

The problem was apparently caused by how the tail cells were swapped.

* graph : simplify logic for recurrent state copies

* kv-cache : use cell without src refs for rs_z in recurrent cache

* llama-graph : fix recurrent state copy

The `state_copy` shuffle assumes everything is moved at once,
which is not true when `states_extra` is copied back to the cache
before copying the range of states between `head` and `head + n_seqs`.
This is only a problem if any of the cells in [`head`, `head + n_seqs`)
have an `src` in [`head + n_seqs`, `head + n_kv`),
which does happen when `n_ubatch > 1` in the `llama-parallel` example.

Changing the order of the operations avoids the potential overwrite
before use, although when copies are avoided (like with Mamba2),
this will require further changes.

* llama-graph : rename n_state to state_size in build_recurrent_state

This naming should reduce confusion between the state size
and the number of states.
Use the same descriptor set layout for all pipelines (MAX_PARAMETER_COUNT == 8)
and move it to the vk_device. Move all the descriptor pool and set tracking to
the context - none of it is specific to pipelines anymore. It has a single vector
of pools and vector of sets, and a single counter to track requests and a single
counter to track use.
…org#14062)

* webui: Wrap long numbers instead of infinite horizontal scroll

* Use tailwind class

* update index.html.gz
This change moves the command pool/buffer tracking into a vk_command_pool
structure. There are two instances per context (for compute+transfer) and
two instances per device for operations that don't go through a context.
This should prevent separate contexts from stomping on each other.
* ggml-cpu: Factor out feature detection build from x86

* ggml-cpu: Add ARM feature detection and scoring

This is analogous to cpu-feats-x86.cpp. However, to detect compile-time
activation of features, we rely on GGML_USE_<FEAT> which need to be set
in cmake, instead of GGML_<FEAT> that users would set for x86.

This is because on ARM, users specify features with GGML_CPU_ARM_ARCH,
rather than with individual flags.

* ggml-cpu: Implement GGML_CPU_ALL_VARIANTS for ARM

Like x86, however to pass around arch flags within cmake, we use
GGML_INTERNAL_<FEAT> as we don't have GGML_<FEAT>.

Some features are optional, so we may need to build multiple backends
per arch version (armv8.2_1, armv8.2_2, ...), and let the scoring
function sort out which one can be used.

* ggml-cpu: Limit ARM GGML_CPU_ALL_VARIANTS to Linux for now

The other platforms will need their own specific variants.

This also fixes the bug that the the variant-building branch was always
being executed as the else-branch of GGML_NATIVE=OFF. The branch is
moved to an elseif-branch which restores the previous behavior.
…gml-org#14140)

This fixes RWKV inference which otherwise failed
when the worst case ubatch.n_seq_tokens rounded to 0.
* cmake : handle whitepsaces in path during metal build

ggml-ci

* cont : proper fix

ggml-ci

---------

Co-authored-by: Daniel Bevenius <daniel.bevenius@gmail.com>
* batch : remove logits_all flag

ggml-ci

* context : simplify output counting logic during decode

ggml-ci

* cont : fix comments
LostRuins and others added 28 commits June 28, 2025 17:53
Add Day-0 support for Baidu ERNIE 4.5 0.3B model.

Signed-off-by: Weizhao Ouyang <weizhao.ouyang@arm.com>
)

* 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
# Conflicts:
#	tests/test-backend-ops.cpp
* 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 (ggml-org#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 (ggml-org#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 ed0aab1.

* SYCL: disable faulty fp16 CPU exponent for now

* Fix logic of disabling exponent kernel
…eature), from command line and from client (ggml-org#13196)

* initial commit for handling extra template kwargs

* enable_thinking and assistant prefill cannot be enabled at the same time

* can set chat_template_kwargs in command line

* added doc

* fixed formatting

* add support for extra context in generic template init

* coding standard: common/chat.cpp

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

* coding standard:  common/chat.cpp

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

* Apply suggestions from code review

coding standard: cosmetic changes

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

* fix merge conflict

* chat.cpp: simplify calls to apply to ensure systematic propagation of extra_context (+ the odd existing additional_context)

* normalize environment variable name

* simplify code

* prefill cannot be used with thinking models

* compatibility with the new reasoning-budget parameter

* fix prefill for non thinking models

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Olivier Chafik <olivier.chafik@gmail.com>
* 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.
# Conflicts:
#	.devops/tools.sh
#	build-xcframework.sh
#	ci/run.sh
#	examples/Miku.sh
#	examples/chat-13B.sh
#	examples/chat-persistent.sh
#	examples/chat-vicuna.sh
#	examples/chat.sh
#	examples/jeopardy/jeopardy.sh
#	examples/reason-act.sh
#	examples/server-llama2-13B.sh
#	examples/sycl/build.sh
#	examples/sycl/run-llama2.sh
#	examples/sycl/run-llama3.sh
#	examples/ts-type-to-grammar.sh
#	ggml/src/ggml-cpu/CMakeLists.txt
#	ggml/src/ggml-sycl/element_wise.cpp
#	ggml/src/ggml-sycl/element_wise.hpp
#	ggml/src/ggml-sycl/ggml-sycl.cpp
#	scripts/apple/validate-apps.sh
#	scripts/apple/validate-ios.sh
#	scripts/apple/validate-macos.sh
#	scripts/apple/validate-tvos.sh
#	scripts/apple/validate-visionos.sh
#	scripts/check-requirements.sh
#	scripts/ci-run.sh
#	scripts/compare-commits.sh
#	scripts/debug-test.sh
#	scripts/gen-authors.sh
#	scripts/get-hellaswag.sh
#	scripts/get-pg.sh
#	scripts/get-wikitext-103.sh
#	scripts/get-wikitext-2.sh
#	scripts/get-winogrande.sh
#	scripts/hf.sh
#	scripts/qnt-all.sh
#	scripts/run-all-perf.sh
#	scripts/run-all-ppl.sh
#	scripts/sync-ggml-am.sh
#	scripts/sync-ggml.sh
#	scripts/tool_bench.sh
#	tests/test-backend-ops.cpp
#	tests/test-lora-conversion-inference.sh
#	tests/test-tokenizer-0.sh
#	tools/server/README.md
@pi6am pi6am merged commit 8f301e6 into pi6am:concedo Jul 16, 2025
pi6am pushed a commit that referenced this pull request Apr 14, 2026
)

* ggml: backend-agnostic tensor parallelism

* support for GPT-OSS, Qwen 3 MoE

* partial Vulkan fix

* add support for 4/8 GPUs

* unconditional peer access

* re-use buffers + ggml contexts

* fix output pattern

* NCCL support

* GGML: HIP: add RCCL support

* Remove shfl and AllReduce from backend interface

* move allocation workaround out of ggml-alloc.c

* 2d tensor set/get support

* Fix the seg fault without NCCL

* Apply suggestion from JohannesGaessler

* support for tensor dims % n_devs != 0

* fix view_offs scaling

* arbitrary num. of GPUs/tensor split

* fix compilation

* better granularity estimate

* Support device-specific host buffer types if all underlying backends expose the same type. This allows using pinned memory instead of pageable memory for CUDA.

Fix compilation errors.

* partial Qwen 3 Next support

* Fix qwen3 30b (#8)

* Fix crash with Qwen-30B-A3B Q4_0

Qwen-30B-A3B Q4_0 has an intermediate dimension of 768. Using a granularity of 256 forces an uneven split between GPUs, which is not supported by the current implementation.

* Decide block size based on tensor quantization type

* Fix crashes due to KV cache serialization (#9)

KV cache serialization requires non-zero offsets on the tensor. Add support in the meta backend to set/get a tensor with a non-zero offset.

* metal : fix build (#7)

* static memory allocations, fix usage count

* fix tensor granularity

* more even memory distribution

* use BF16 for allreduce

* rebase fixup

* better error message for unsupported architectures

* Fix device mismatch during scatter of allReduce. (#11)

There is a mismatch between the dst buffer device and the backend device, causing the use of sync copies

* Enable the previous allreduce implementation. It is better in both perf and stability (#12)

* delay AllReduce for Moe for less I/O

* build : clean-up compile warnings

* backend : move most of the meta backend API to ggml-backend-impl.h

* cont : hide unused public API in the implementation

* llama : use llama_device + remove ggml_backend_dev_is_meta()

* ggml-backend : remove unused alloc include

* minor : remove regex include

* ggml : introduce ggml-ext.h for staging new APIs

* rebase fixup

* fix tests

* llama : more robust logic for determining Meta devices (LostRuins#16)

* llama : more robust logic for determining Meta devices

* cont : fix devs size check

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

* cont : fix log type

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

---------

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

* disable roundtrip for meta backend

* fix arch selection

* Qwen 3.5 support

* fix Gemma 4 MoE

* fix OpenVino, SYCL

* fix test-llama-archs for CPU-only builds

* Fix Qwen 3.5 MoE

* disable meta backend tests for WebGPU

* tests : filter CPU-based devices from the Meta backend tests (LostRuins#17)

* meta : formatting, naming, indentation (LostRuins#18)

* formatting : llama-model.cpp

* formatting : ggml-ext.h

* formatting : ggml-backend-meta.cpp

* meta : add TODO

* add documentation

* better error messages

* fix GPT-OSS

---------

Co-authored-by: Carl Philipp Klemm <carl@uvos.xyz>
Co-authored-by: Gaurav Garg <gaugarg@nvidia.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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