Sync master with upstream release b4927 #13
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* cmake: Factor out compiler flag function from ggml llama.cpps's build requires it, too, and we may want to make use of it without add_subdirectory(ggml). * cmake: Enable building against system ggml This facilitates package maintenance for Linux distributions, where the libggml library most likely will be shipped as an individual package upon which a llama.cpp package depends.
…s checking (ggml-org#12273) * vulkan: Pad N dimension of B matrix for coopmat2 perf, to avoid bounds checking
* vulkan: subgroup size test * Vulkan: Add device architecture enum and logic to recognize AMD generations * vulkan: use new architecture logic to specify subgroup size * Initial vulkan subgroup size tuning for RDNA3 * vulkan: commonize RDNA subgroup tuning * vulkan: override subgroup size if required_subgroup_size = 0 * vulkan: disable warp 32 for RDNA3 * vulkan: fine tuned RDNA1 subgroup sizes * vulkan: adjusted subgroup size map * vulkan: fixed RDNA2 subgroup map --------- Co-authored-by: 0cc4m <[email protected]>
It's already found by FindVulkan.cmake in the parent CMakeLists
* Enable CUDA Graph on CTK < 12.x `cudaGraphExecUpdate` API was changed on 12.x. For this reason CUDA graph support was disabled on older CUDA toolkit. This change enables CUDA support in CTK version < 12.x by using older API if CTK < 12.x. * Fix compilation errors with MUSA * Disable CUDA Graph for MUSA
* ggml: Add op l2_norm Signed-off-by: Molly Sophia <[email protected]> * ggml: Add op rwkv_wkv7 Signed-off-by: Molly Sophia <[email protected]> * llama: Add support for RWKV7 and ARWKV7 models Signed-off-by: Molly Sophia <[email protected]> * llama: fix inference with RWKV6Qwen2 Signed-off-by: Molly Sophia <[email protected]> * llama: add more (a)rwkv7 variants in size Signed-off-by: Molly Sophia <[email protected]> * Apply code-format changes Signed-off-by: Molly Sophia <[email protected]> * fix MUSA build Signed-off-by: Molly Sophia <[email protected]> * llama: fix shape error with rwkv using llama-parallel Signed-off-by: Molly Sophia <[email protected]> --------- Signed-off-by: Molly Sophia <[email protected]>
…ion and driver issues (ggml-org#12434)
…e option (ggml-org#12371) * alberto changes * enable sycl graphs by env variable * fixed compilation warnings in ggml-sycl.cpp * renamed graph variables * fix markdown in docs/backend/SYCL.md Co-authored-by: Romain Biessy <[email protected]> * fix markdown in docs/backend/SYCL.md again * compiling graphs by default, renamed graph_enable to graph_disable --------- Co-authored-by: Romain Biessy <[email protected]>
…g#12447) * context : always use non-causal attention for encoder graphs ggml-ci * context : move the change to llama_context::encode() ggml-ci
Signed-off-by: Xiaodong Ye <[email protected]>
* graph : normalize Q, K, V shapes and add comments ggml-ci * context : synchronize before getting cross attention data * model : fix command-r attention norm check
* opencl: more profiling timing * opencl: generate trace for profiling * opencl: reduce profiling overhead * Populate profiling timing info at the end rather than after each kernel run * opencl: fix for chrome tracing
) I've been seeing significantly worse performance for tg with flash attention enabled vs disabled, and it seems to be related to the submit heuristic. Change the heuristic to check how many bytes worth of weight matrix are used and flush every 100MB, and ramp up after the first few submits. This seems to resolve the issue, and also increases perf for non-FA a bit.
ggml-org#12456) * Add support for GPT2, Bloom and CodeShell tied word embeddings * Deduplicate tied word embeddings weights * Workaround for incorrect weight map It appears transformer.wte.weight is in the weight map even though the weights are not there, remove it if output weights are encountered first. * check++ * fatfingers--
* ci: add visionOS build workflow Add a new GitHub Actions workflow for building on visionOS with CMake and Xcode. * ggml: Define _DARWIN_C_SOURCE for visionOS to fix missing u_xxx typedefs * ci: remove define hacks for u_xxx system types --------- Co-authored-by: Giovanni Petrantoni <[email protected]>
…-org#12183) - Find out active blocks per SM using cudaOccupancyMaxActiveBlocksPerMultiprocessor API. Use this value to determine the optimal parallel_blocks value. - Prefer vector flash attention kernels over MMA kernel for BS=1 Fixes Issue: ggml-org#12182 --------- Co-authored-by: Johannes Gäßler <[email protected]>
…oring new values (ggml-org#12470) Co-authored-by: Stanisław Szymczyk <[email protected]>
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* oai moe * compat with new checkpoint * add attn sink impl * add rope scaling yarn * logits match with latest transformers code * wip chat template * rm trailing space * use ggml_scale_bias * rm redundant is_swa_all * convert interleaved gate_up * graph : fix activation function to match reference (#7) * vocab : handle o200k_harmony special tokens * ggml : add attention sinks support (#1) * llama : add attn sinks * ggml : add attn sinks * cuda : add attn sinks * vulkan : add support for sinks in softmax remove unnecessary return * ggml : add fused swiglu_oai op (#11) * ggml : add fused swiglu_oai op * Update ggml/src/ggml-cpu/ops.cpp Co-authored-by: Georgi Gerganov <[email protected]> * update CUDA impl * cont : metal impl * add vulkan impl * test-backend-ops : more test cases, clean up * llama : remove unfused impl * remove extra lines --------- Co-authored-by: Georgi Gerganov <[email protected]> --------- Co-authored-by: slaren <[email protected]> * repack mxfp4 upon conversion * clean up a bit * enable thinking * add quick hack to render only some special tokens * fix bf16 conversion * remove vocab hack * webui ok * support chat parsing for gpt-oss * fix webui * direct mapping mxfp4, FINALLY * force using mxfp4 * properly use lazy tensor * ggml : add mxfp4 ggml : use e8m0 conversion instead of powf Co-authored-by: Diego Devesa <[email protected]> change kvalues_mxfp4 table to match e2m1 (#6) metal : remove quantization for now (not used) cuda : fix disabled CUDA graphs due to ffn moe bias vulkan : add support for mxfp4 cont : add cm2 dequant * ggml : add ggml_add_id (#13) * ggml : add ggml_add_id * add cuda impl * llama : add weight support check for add_id * perf opt * add vulkan impl * rename cuda files * add metal impl * allow in-place ggml_add_id * llama : keep biases on CPU with --cpu-moe * llama : fix compile error ggml-ci * cuda : add fallback for __nv_cvt_e8m0_to_bf16raw ggml-ci * cleanup ggml-ci * sycl : fix supports_op for MXFP4 ggml-ci * fix Unknown reasoning format * ggml-cpu : fix AVX build ggml-ci * fix hip build ggml-ci * cuda : add mxfp4 dequantization support for cuBLAS ggml-ci * ggml-cpu : fix mxfp4 fallback definitions for some architectures ggml-ci * cuda : fix version required for __nv_cvt_e8m0_to_bf16raw --------- Co-authored-by: Xuan Son Nguyen <[email protected]> Co-authored-by: slaren <[email protected]>
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Updates dev branch with latest release (b4927) from ggml-org/llama.cpp