…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.

* 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

* compare llama-bench: add option to plot

* Address review comments: convert case + add type hints

* Add matplotlib to requirements

* fix tests

* Improve comment and fix assert condition for test

* Add back default test_name, add --plot_log_scale

* use log_scale regardless of x_values

Currently when a model generates output which looks like a tool call,
but is invalid an exception is thrown and not handled, causing the cli
or llama-server to bail. Instead, handle the chat parser exception and
simply return the generated text in such cases.

Signed-off-by: Piotr Stankiewicz <[email protected]>

* batch : verify multi-sequence input batches

ggml-ci

* cont : auto-gen positions + verify multi-seq input

ggml-ci

* cont : first print debug info, then perform validation

ggml-ci

* cont : fix position auto-gen + add comments

ggml-ci

ggml-ci

Adds:

* Dots1Model to convert_hf_to_gguf.py

* Computation graph code to llama-model.cpp

* Chat template to llama-chat.cpp to detect this model's template.

---

The model is called "dots.llm1" (I decided to shorten it to dots1 or
DOTS1 in the code generally) architecture.

The only models that exist as of writing of this commit that follow this
architecture are "dots.llm1.inst" and "dots.llm1.base" from here:

* https://huggingface.co/rednote-hilab/dots.llm1.inst

* https://huggingface.co/rednote-hilab/dots.llm1.base

The model architecture is a combination of Qwen and Deepseek parts, as
seen here:

https://github.com/huggingface/transformers/blob/ffe12627b4e84489d2ab91dd0ec00614855edc79/src/transformers/models/dots1/modular_dots1.py

ggml-ci

…T_SIZE__ (#14183)

…nd port (#14180)

Instead show something like this:

main: server is listening on file.sock - starting the main loop

Signed-off-by: Eric Curtin <[email protected]>

* Add Arcee AFM support

* Add draft update code

* Fix linter and update URL, may still not be final

* Update src/llama-model.cpp

Co-authored-by: Xuan-Son Nguyen <[email protected]>

* Remote accidental blank line

---------

Co-authored-by: Xuan-Son Nguyen <[email protected]>