* OP_GATED_DELTA_NET impl
* add back lanes_per_column declaration
* removed has_subgroup_arithmetic and has_subgroup_clustered_reduce
* removed trailing spaces and fixes indentation. Hard coded subgroup size for Adreno and Intel. Return not supported when K>1 state snapshot
* support for K>1 state snapshot
* removed picky indent multiple of 4 fixes
* removed return that won\'t be executed
* opencl: refactor initialization
* opencl: refactor GPU identification
* opencl: rename for consistency
* opencl: cache global mem size in dev_ctx
* opencl: adjust log level
* opencl: load argsort and flash_attn kernels in supports_op
* argsort kernel must be built for supports_op for querying the max
workgroups
* flash_attn kernel has many variants, only load them when needed
* opencl: add q4_k moe support
* opencl: add q5_k moe support
* opencl: add q6_k moe support
* opencl: adjust format
---------
Co-authored-by: Li He <lih@qti.qualcomm.com>
* opencl: add q5_0 moe support
* opencl: add q5_1 moe support
* opencl: avoid potential leak
* opencl: suppress unused var warning when building for non-Adreno
---------
Co-authored-by: Li He <lih@qti.qualcomm.com>
* Q4_1 MoE CLC pass sanity check
* remove unnecessary code
* opencl: remove unnecessary asserts and reformat
* opencl: fix supports_op for q4_1 moe
* q4_1 moe is supported by Adreno with certain shapes
---------
Co-authored-by: Li He <lih@qti.qualcomm.com>
* Q4_0 MoE CLC pass sanity check
* release program
* opencl: fix whitespace
* opencl: remove unused cl_program
* opencl: break #if block to make it more clear
* opencl: adjust format
---------
Co-authored-by: Li He <lih@qti.qualcomm.com>
* 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 (#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 (#17)
* meta : formatting, naming, indentation (#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>
* OpenCL: add CUMSUM op support
* remove unused argument
* opencl: refactor cumsum
* opencl: refactor
* opencl: refactor tmp buffer
* opencl: adjust max number of subgroups
* opencl: fix whitespace
* opencl: fix global size when cumsum the tmp buffer
---------
Co-authored-by: Li He <lih@qti.qualcomm.com>
* opencl: optimize mean and sum_row kernels
* opencl: add comment for max subgroups
* opencl: format
---------
Co-authored-by: Li He <lih@qti.qualcomm.com>
* Add Q8_0 OpenCL kernel
Co-authored-by: yunjie <yunjie@qti.qualcomm.com>
* opencl: fix build for non-adreno
* opencl: refactor q8_0
* opencl: enforce subgroup size of 64 for adreno for q8_0
* For A750 and older generations, subgroup size can be 64 or 128.
This kernel assumes subgroup size 64.
* opencl: suppress warning when adreno kernels are disabled
---------
Co-authored-by: yunjie <yunjie@qti.qualcomm.com>
Co-authored-by: Li He <lih@qti.qualcomm.com>
* opencl: flatten `q6_K` and add `kernel_mul_mv_q6_K_f32_flat`
* opencl: clean up
* opencl: refactor q6_K mv - put loop body in `block_q_6_K_dot_y_flat`
* opencl: tweak the workgroup size a bit
* opencl: output 4 values per subgroup for `kernel_mul_mv_q6_K_f32_flat`
* opencl: proper alignment for q6_K
* opencl: boundary handling for flattened q6_K mv
* opencl: rename q6_K mv kernel file
* opencl: put flattened q6_K mv in its own file
* opencl: use lower k in file name
* opencl: use K in variable names
* opencl: add `copy_to_contiguous` and utilize mm kernels
* opencl: only copy to cont for f32 and f16 tensors
* opencl: use cont mm for fallback when dst is large
* opencl: use nb local to copy-to-cont
* opencl: use local offset as well
ymcki