Sync master with upstream release b4930 #16
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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 <picard12@live.de>
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 <mollysophia379@gmail.com> * ggml: Add op rwkv_wkv7 Signed-off-by: Molly Sophia <mollysophia379@gmail.com> * llama: Add support for RWKV7 and ARWKV7 models Signed-off-by: Molly Sophia <mollysophia379@gmail.com> * llama: fix inference with RWKV6Qwen2 Signed-off-by: Molly Sophia <mollysophia379@gmail.com> * llama: add more (a)rwkv7 variants in size Signed-off-by: Molly Sophia <mollysophia379@gmail.com> * Apply code-format changes Signed-off-by: Molly Sophia <mollysophia379@gmail.com> * fix MUSA build Signed-off-by: Molly Sophia <mollysophia379@gmail.com> * llama: fix shape error with rwkv using llama-parallel Signed-off-by: Molly Sophia <mollysophia379@gmail.com> --------- Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
…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 <romain.biessy@codeplay.com> * fix markdown in docs/backend/SYCL.md again * compiling graphs by default, renamed graph_enable to graph_disable --------- Co-authored-by: Romain Biessy <romain.biessy@codeplay.com>
…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 <xiaodong.ye@mthreads.com>
* 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 <7008900+sinkingsugar@users.noreply.github.com>
…-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 <johannesg@5d6.de>
…oring new values (ggml-org#12470) Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
tokenizer.added_tokens_decoder returns a fresh dict every time relatively slowly (~0.04s on average) which results in massive slowdowns when we have a huge number of added tokens
…architecture (ggml-org#12332) * Add block interleaving support for Q4_K quantization * Remove whitespaces and fix CI/CD issues * Update pointer of bsums from int16_t to const int16_t * Add vector version of quantize_q8_K_4x8 function * Update code formatting based on review comments
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Updates dev branch with latest release (b4930) from ggml-org/llama.cpp