* vulkan: extend topk_moe to handle sigmoid w/exp_probs_b for nemotron
Also handle GGML_OP_SCALE at the end (nemotron, deepseek2).
Fewer pipeline variants and spec constants, just use push constants.
In test_topk_moe, change exp_probs_b to be 1D, matching real networks.
Update test-backend-ops and ggml-backend to allow verifying multiple outputs
in a fusion test (topk_moe has two outputs). Previously only the final node
was verified.
* change test_topk_moe to allow results in arbitrary order
* disable sigmoid fusion for moltenvk
* cmake:
- added `whisper-` prefix to unprefixed targets: `quantize`, `lsp`,
`vad-speech-segments`
- added `install(TARGETS ${TARGET} RUNTIME)` where it was missing
Signed-off-by: Peter A. <ink.splatters@pm.me>
* .github/workflows/build.yml: quantize -> whisper-quantize
Signed-off-by: Peter A. <ink.splatters@pm.me>
---------
Signed-off-by: Peter A. <ink.splatters@pm.me>
* add count equal for metal
* remove trailing whitespace
* updated doc ops table
* changed shmem to i32
* added multi tg and templating
* removed BLAS support from Metal docs
* Apply suggestions from code review
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* add memset to set dst to 0
* metal : cleanup
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* cmake: work around broken IntelSYCLConfig.cmake in oneAPI 2025.x
* [AI] sycl: auto-detect and skip incompatible IntelSYCL package
Automatically detect compiler versions with incompatible IntelSYCL
CMake configuration files and fall back to manual SYCL flags instead
of requiring users to set options manually.
Fixes build failures with oneAPI 2025.x where IntelSYCLConfig.cmake
has SYCL_FEATURE_TEST_EXTRACT invocation errors.
* refactor: improve SYCL provider handling and error messages in CMake configuration
* refactor: enhance SYCL provider validation and error handling in CMake configuration
* ggml-sycl: wrap find_package(IntelSYCL) to prevent build crashes
* vulkan: Use BK=32 for coopmat2 mul_mat_id
* vulkan: optimize decodeFuncB in coopmat2 mul_mat_id shader
Disable robustness, remove the OOB check in decodeFuncB, and initialize the
row_ids to zero to avoid OOB access.
Don't slice/offset the B matrix to ic * BN, only to adjust the coord back down
to the range [0, BN) in decodeFuncB. Instead just slice with a row offset of
zero and remove the '& (BN - 1)'. This allows the compiler to common some of
the shared memory loads.
* ggml-cuda: fix blackwell native builds
Replace 12x in native architectures by 12xa
* replace for GGML_NATIVE=OFF too
* only replace for native
* remove 120f-virtual for default compilation
---------
Co-authored-by: Aman Gupta <aman>
* CONV_TRANSPOSE_1D kernel_size>255
* remove condition check
* fix the bug of type conversion
* removing trailing whitespaces
* fix: return true in the switch case
* refactor: replace ggml_hexagon_mul_mat with template-based binary operation for improved flexibility
* refactor: replace ggml_hexagon_mul_mat_id with template-based binary operation for improved flexibility
* refactor: initialize buffer types and streamline dspqueue_buffers_init calls for clarity
* add comment
* refactor: remove redundant buffer checks in hexagon supported operations
* wip
* add missing include to fix weak symbol warning
* add ggml_hexagon_op_generic
* refactor: simplify tensor operation initialization and buffer management in hexagon implementation
* refactor: streamline hexagon operation initialization and buffer management
* refactor: update function signatures and streamline request handling in hexagon operations
* wip
* ggml-hexagon: clean up code formatting and improve unary operation handling
* wip
* rename
* fix: add support for permuted F16 tensors and enhance quantization checks in matrix operations
* refactor: replace ggml_hexagon_mul_mat with template-based binary operation for improved flexibility
refactor: replace ggml_hexagon_mul_mat_id with template-based binary operation for improved flexibility
refactor: initialize buffer types and streamline dspqueue_buffers_init calls for clarity
refactor: remove redundant buffer checks in hexagon supported operations
add missing include to fix weak symbol warning
add ggml_hexagon_op_generic
refactor: simplify tensor operation initialization and buffer management in hexagon implementation
refactor: streamline hexagon operation initialization and buffer management
refactor: update function signatures and streamline request handling in hexagon operations
ggml-hexagon: clean up code formatting and improve unary operation handling
fix: add support for permuted F16 tensors and enhance quantization checks in matrix operations
# Conflicts:
# ggml/src/ggml-hexagon/ggml-hexagon.cpp
* hexagon: fix merge conflicts
* hexagon: minor cleanup for buffer support checks
* hexagon: factor out op_desc and the overal op logging
* hexagon: further simplify and cleanup op dispatch logic
* snapdragon: update adb scripts to use llama-cli and llama-completion
* fix pipeline failure
---------
Co-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com>
* feat: working gelu with src0 put on vtcm
* feat: gelu ping-pong for both in and out
* fix: fixu compile error
* break: distinguish dma ddr->vtcm and vtcm->ddr operation
* fix: fix dma queue size
* break: update dma api to either pop src or dst ptr
* fix: fix activation vtcm allocation issue for src1 when swapperd
* refactor: ping-pong gelu logic to avoid unnecessary if else
* dma: improved queue interface and prefetch handling
* gelu: fix N+2 block prefetch
---------
Co-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com>
The goal is to enable the async loading code paths in
llama_model_loader::load_all_data, originally from #7896. This works and the
loads themselves are faster, but with host visible vidmem I think the cost of
allocating/mapping vidmem moves and becomes more expensive, and I don't see a
benefit by default. But with GGML_VK_DISABLE_HOST_VISIBLE_VIDMEM=1 I do see a
significant improvement in model loading time.
Jeff Bolz
Peter A.
KITAITI Makoto
Georgi Gerganov
gatbontonpc
Johannes Gäßler
Aman Gupta
Rahul Sathe
Charles Xu
uvos
o7si
Boian Berberov
QDelta
lhez
Eve
0Marble
Penglin Cai
Aadeshveer Singh
Wang Weixuan
Ruben Ortlam
TianHao324
Chris Rohlf
nullname
Shouyu
Taimur Ahmad