…se (#13996)

* kv-cache : refactor update mechanism

ggml-ci

* memory : improve status handling

* defrag : reset head + add comments

ggml-ci

* cont : minor fixes

ggml-ci

* * ggml-vulkan: adds op CONV_TRANSPOSE_1D

* test-backend-ops: adds more spohisticated tests for CONV_TRANSPOSE_1D

* Missing barrier added to shader.
Number of additional tests reduced to 108.

* * Fixes typo in variable name.

* Removes extra whitespaces.

* Adds int64->int32 casts to prevent possible warnings.

* Problem size reduced in tests to pass tests with llvmpipe.

* supports_op condition moved from unintended position

ggml-ci

…N_VER to llama.cpp sources (#14013)

…4006)

* memory : merge llama_kv_cache into llama_memory + new `llama_memory` API

ggml-ci

* context : fix casts

ggml-ci

Replace CMAKE_CUDA_ARCHITECTURES=native with nvidia-smi detection
as 'native' fails on autodl cloud environments.

Co-authored-by: pockers21 <[email protected]>

…#14001)

* allowing B580 and U9-288V

* experimenting code to detect Xe2

* allowing coopmat only for Xe2 GPUs

* fixed comment wording

* fixed comment wording

* removed unnecessary driver check

* add add_classifier_output_labels

* use add_classifier_output_labels

* llama : deprecate llama_kv_self_ API

ggml-ci

* llama : allow llama_memory_(nullptr)

ggml-ci

* memory : add flag for optional data clear in llama_memory_clear

ggml-ci

… suffix) (#14050)

* SYCL: Implement few same quantized type copy kernels

* Use memcpy for copying contiguous tensors

ggml-ci

* feat(sycl): add contiguous tensor copy support and device checks

Adds a memcpy path for contiguous tensors of the same type to optimize data transfer. Updates device support checks to recognize contiguous tensor operations, improving compatibility and performance.

* refactor: replace specific block copy functions with template

The changes replace multiple redundant block copy functions (e.g., cpy_block_q8_0_q8_0, cpy_block_q5_0_q5_0) with a single templated function cpy_blck_q_q. This reduces code duplication by using a generic template that works for any block type, improving maintainability while preserving the same functionality. The template is instantiated with specific block types (e.g., block_q8_0) where needed.

* Exclude BF16 support for COPY tensors for now
ggml-ci

* perf: adjust SYCL copy kernel block sizes for efficiency

Use ceil_div to ensure full element coverage and update nd_range parameters to better align with SYCL block sizes, improving parallelism and device utilization in copy operations.

ggml-ci

* 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.

…14140)

This fixes RWKV inference which otherwise failed
when the worst case ubatch.n_seq_tokens rounded to 0.

ggml-ci

* cmake : handle whitepsaces in path during metal build

ggml-ci

* cont : proper fix

ggml-ci

---------

Co-authored-by: Daniel Bevenius <[email protected]>

ggml-ci

* batch : remove logits_all flag

ggml-ci

* context : simplify output counting logic during decode

ggml-ci

* cont : fix comments

ggml-ci

ggml-ci

* cmake: Simplify build-info.cpp generation

The rebuild of build-info.cpp still gets triggered when .git/index gets
changes.

* cmake: generate build-info.cpp in build dir

Update oneMath commit to merged PR uxlfoundation/oneMath#669
which adds SYCL-Graph support for recording CUDA BLAS commands.

With this change the `MUL_MAT` tests now pass on DPC++ CUDA backends with SYCL-Graph
enabled. Prior to this change, an error would be thrown.

```
$ GGML_SYCL_DISABLE_GRAPH=0 ./bin/test-backend-ops -b SYCL0 -o MUL_MAT -p type_a=f16,type_b=f32,m=16,n=1,k=256,bs=\\[1,1\\],nr=\\[2

UR CUDA ERROR:
        Value:           700
        Name:            CUDA_ERROR_ILLEGAL_ADDRESS
        Description:     an illegal memory access was encountered
        Function:        operator()
        Source Location: $HOME/dpcpp/unified-runtime/source/adapters/cuda/queue.cpp:154

Native API failed. Native API returns: 2147483646 (UR_RESULT_ERROR_UNKNOWN)
Exception caught at file:$HOME/llama.cpp/ggml/src/ggml-sycl/ggml-sycl.cpp, line:3598, func:operator()
SYCL error: CHECK_TRY_ERROR((stream)->wait()): Meet error in this line code!
  in function ggml_backend_sycl_synchronize at $HOME/llama.cpp/ggml/src/ggml-sycl/ggml-sycl.cpp:3598
$HOME/llama.cpp/ggml/src/ggml-sycl/../ggml-sycl/common.hpp:118: SYCL error
Could not attach to process.  If your uid matches the uid of the target
process, check the setting of /proc/sys/kernel/yama/ptrace_scope, or try
again as the root user.  For more details, see /etc/sysctl.d/10-ptrace.conf
ptrace: Operation not permitted.
No stack.
The program is not being run.
```

ggml-ci

Co-authored-by: dinhhuy <[email protected]>

* cmake: Add ability to pass in LLAMA_BUILD_NUMBER/COMMIT

* cmake: Pass on LLAMA_BUILD_* to GGML_BUILD_*

* batch : rework llama_batch_allocr

ggml-ci

* cont : move validation inside class

ggml-ci

* cont : move output counting to class

ggml-ci

* cont : minor

ggml-ci

* batch : add TODOs

ggml-ci

* Update multimodal.md

* Update multimodal.md

* batch : add LLAMA_BATCH_DEBUG environment variable

ggml-ci

* cont : improve seq_id display

* vocab : prevent integer overflow during load

* Add static cast and GGML_ABORT

---------

Co-authored-by: Georgi Gerganov <[email protected]>

ggml-ci