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b8802
8802 Commits
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adb541a6ad | rpc : add native RDMA transport for RPC backend (RoCEv2) (#20590) b8802 | ||
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80d8770804 |
docs: more extensive RoPE documentation [no ci] (#21953)
* more extensive ggml_rope documentation * add more docs * nits |
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8dc530b86d | ci: disable test-backend-ops on Vulkan llvmpipe run and resture default timeout (#21901) | ||
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e1a9a6dcbe | autoparser: support case of JSON_NATIVE with per-call markers (test case: Reka-Edge) (#21892) b8799 | ||
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e39eba26f3 | read n_ctx back after making llama_context (#21939) b8798 | ||
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5d14e5d19b |
hexagon: optimization for HMX mat_mul (#21554)
* hexagon: add async HMX worker Introduce hmx-worker (dedicated thread for HMX compute) to overlap HMX matmul with HVX dequant/DMA stages in the pipeline path, replacing the previous synchronous HMX calls that blocked the main thread. * hexagon: cost-based VTCM chunk search for out-stationary matmul * hexagon: fix futex race in hmx_worker_drain Store the boolean to local variable avoid atomic load twice * hex-mm: hmx optimize scatter/transpose and use HMX intrinsics * hex-vmem: drop vmem limit a touch under 3GB on v73 * hexagon: add fwd declaration of htp_context * hex-hmx: replace hmx-worker with hmx-queue that mimics dma-queue interface Simplifies the overall implemantion, reduces thread wakeup roundtrips. * hex-mm: add debug log to hmx work func called from hmx-queue * Update hmx-queue.h Co-authored-by: Max Krasnyansky <max.krasnyansky@gmail.com> --------- Co-authored-by: Kim-Chyan Gan <kgan@qti.qualcomm.com> Co-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com> Co-authored-by: Max Krasnyansky <max.krasnyansky@gmail.com>b8797 |
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fae3a28070 |
ggml : remove ggml-ext.h (#21869)
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* ggml: correct placement of ggml-ext.h * ggml : remove ggml-ext.h --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>b8796 |
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c0de6eda72 | metal : fix FA support logic (#21898) b8795 | ||
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707c0b7a6e |
mtmd: add mtmd_image_tokens_get_decoder_pos() API (#21851)
* mtmd: add mtmd_image_tokens_get_decoder_pos() API * consistent naming * fix buildb8794 |
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1f30ac0cea |
vulkan: Programmatically add RoundingModeRTE to all shaders when the device supports it (#21572)
* vulkan: Programmatically add RoundingModeRTE to all shaders when the device supports it * use FetchContent to get SPIRV-Headers * Fetch spirv-headers unconditionally * remove fetchcontent, rely on installed headers * fix ubuntu job * Update docs/build.mdb8793 |
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f4b5bf2f32 |
ci : re-enable mac workflows (#21894)
* ci : re-enable mac workflows * vulkan : fix compile warningb8792 |
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aa0f1897b7 | metal : add XIELU unary op (#20802) b8791 | ||
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be76dd0bb2 |
vendor : update BoringSSL to 0.20260413.0 (#21881)
Signed-off-by: Adrien Gallouët <angt@huggingface.co>b8790 |
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2e05f06ffb | ggml : fix ARM NEON nvfp4 dot product on non-dotprod targets (#21559) b8789 | ||
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acc37a42ea |
cmake: fix CMP0194 warning on Windows with MSVC (#21630)
* cmake: fix CMP0194 warning on Windows with MSVC Set CMP0194 policy to NEW before project() call in ggml/CMakeLists.txt to suppress the "MSVC is not an assembler for language ASM" warning introduced in CMake 4.1. The ggml project enables ASM globally for Metal (macOS) and KleidiAI (ARM) backends. On Windows/MSVC, no assembler sources are used, but CMake 4.1+ warns because cl.exe is not a valid ASM compiler. This follows the same pattern used in ggml-vulkan (CMP0114, CMP0147). Closes ggml-org/llama.cpp#20311 * cmake: apply cisc's formatting suggestion --------- Co-authored-by: texasich <texasich@users.noreply.github.com>b8788 |
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5a23695d5a |
ggml-webgpu: Update register tiling matmul to use f32 accumulation (#21644)
* Update register tiling matmul to use f32 accumulation * fix profiling code * Fix register tiling matmul for chrome, i'm blaming dawn * Update batch tuning value for iOS * compile fix * Fix use of new load functionb8787 |
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56666fa607 |
common: skip reasoning budget sampler when no budget is requested (#21870)
* common: skip reasoning budget sampler when no budget is requested After I added thinking_start_tag / thinking_end_tag for gemma4 in #21697, the reasoning budget sampler gets unconditionally created even when no budget is configured (the default -1). The same applies to kimi_k2, lfm2, lfm2_5, and ministral_3 which also set these tags. The budget gets converted to INT_MAX, so the sampler never actually forces any tokens but still runs per-token checks (start tag matching in IDLE state, token-to-piece conversion + UTF-8 checks in COUNTING state). More importantly, the mere existence of the sampler (non-null rbudget) disables backend sampling. Backend sampling lets the GPU select tokens directly, avoiding a full logits transfer from GPU to CPU every token. This could explain the 30% speed regression reported in #21784 (98 t/s to 70 t/s on Vulkan). So I added a reasoning_budget_tokens >= 0 check to the sampler creation condition. When the budget is unlimited, the sampler is not created, backend sampling stays enabled, and no per-token overhead is added. When a budget is explicitly set (0, 128, 1024, etc.), the sampler is created and works as before. * common: preserve rbudget when grammar is lazy Following up on the review feedback on #21870: keep the reasoning budget sampler when grammar_lazy is true, so the thinking-block grammar suppression from #20970 still works when tools are in use. This way, we only skip the sampler when both no budget is set AND grammar is not lazy.b8786 |
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6a6780a232 |
vulkan: Support GGML_TYPE_NVFP4 (#21455)
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This adds nvfp4 support for get_rows, dequant, and mul_mat(_id). For mul_mat, it does not add support for the dp4/q8_1 path, it's all via fp16/fp32.b8785 |
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e489a5ca0e |
server: support OAI /v1/audio/transcriptions API (#21863)
* server: support OAI /v1/audio/transcriptions API * address autoreview comments * correct default response_format valueb8784 |
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e21cdc11a0 |
common/gemma4 : handle parsing edge cases (#21760)
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e974923698 |
docs: listing qwen3-asr and qwen3-omni as supported (#21857)
* docs: listing qwen3-asr and qwen3-omni as supported * nits |
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1c0d9081fd | chat: dedicated DeepSeek v3.2 parser + "official" template (#21785) b8781 | ||
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a8bad3842e |
ci: Also exempt 'security' tag from auto-close (#21844)
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75f3bc94e6 |
vulkan: Flash Attention DP4A shader for quantized KV cache (#20797)
* use integer dot product for quantized KV flash attention * small improvements * fix SHMEM_STAGING indexing * add missing KV type quants * fixes * add supported quants to FA tests * readd fast paths for <8bit quants * fix mmq gate and shmem checksb8779 |
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aa00911d12 |
common : add download cancellation and temp file cleanup (#21813)
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Signed-off-by: Adrien Gallouët <angt@huggingface.co>b8778 |
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ce8fd4b1a6 | server: Expose build_info in router mode (#21835) b8777 | ||
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9f5e1edb10 |
CUDA: Limit DeviceSegmentedSort to immediate mode (#21718)
* CUDA: Limit DeviceSegmentedSort to immediate mode DeviceSegmentedSort is currently not capturable in a cuda graph. Hence, we have to go for the slower DeviceSegmentedRadixSort in that case. Perf numbers on RTX Pro 6000 Blackwell Max-Q: DeviceSegmentedRadixSort in graph mode (i.e. CUDA Graphs) ARGSORT(type=f32,ne=[2048,512,1,1],order=1): 12291 runs - 105.94 us/run - 8192 kB/run - 73.75 GB/s ARGSORT(type=f32,ne=[4096,512,1,1],order=1): 10245 runs - 115.08 us/run - 16384 kB/run - 135.77 GB/s ARGSORT(type=f32,ne=[8192,512,1,1],order=1): 5125 runs - 221.22 us/run - 32768 kB/run - 141.26 GB/s ARGSORT(type=f32,ne=[16384,512,1,1],order=1): 2565 runs - 430.98 us/run - 65536 kB/run - 145.02 GB/s ARGSORT(type=f32,ne=[32768,512,1,1],order=1): 1028 runs - 1185.83 us/run - 131072 kB/run - 105.41 GB/s ARGSORT(type=f32,ne=[65536,512,1,1],order=1): 387 runs - 2748.62 us/run - 262144 kB/run - 90.95 GB/s DeviceSegmentedSort in immediate mode ARGSORT(type=f32,ne=[2048,512,1,1],order=1): 16388 runs - 71.17 us/run - 8192 kB/run - 109.78 GB/s ARGSORT(type=f32,ne=[4096,512,1,1],order=1): 12294 runs - 81.38 us/run - 16384 kB/run - 192.00 GB/s ARGSORT(type=f32,ne=[8192,512,1,1],order=1): 5125 runs - 240.81 us/run - 32768 kB/run - 129.77 GB/s ARGSORT(type=f32,ne=[16384,512,1,1],order=1): 2565 runs - 406.60 us/run - 65536 kB/run - 153.71 GB/s ARGSORT(type=f32,ne=[32768,512,1,1],order=1): 1285 runs - 873.23 us/run - 131072 kB/run - 143.15 GB/s ARGSORT(type=f32,ne=[65536,512,1,1],order=1): 516 runs - 2288.46 us/run - 262144 kB/run - 109.24 GB/s * Add test case for dispatch to DeviceSegmentedRadixSort We currently lack a way to force graph mode in CUDA, patch callback to invoke ggml_backend_compare_graph_backend twice to enforce each test to run in graph modeb8776 |
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920b3e78cb | mtmd: use causal attn for gemma 4 audio (#21824) b8775 | ||
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974c8c94cc |
webui: add setting for first-line chat titles (#21797)
* webui: add setting for first-line chat titles Add an opt-in setting (`titleGenerationUseFirstLine`) to use the first non-empty line of a prompt as the generated conversation title. Previously, the complete multi-line prompt was being used, which created long titles for complex queries. Coupled with "Ask for confirmation before changing conversation title", the dialog would overflow. * Update tools/server/webui/src/lib/utils/text.ts Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com> * Update tools/server/webui/src/lib/utils/text.ts Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com> * webui: Run build to update the bundle As requested in: https://github.com/ggml-org/llama.cpp/pull/21797#pullrequestreview-4094935065 * webui: Fix missing import for NEWLINE_SEPARATOR --------- Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com> |
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227ed28e12 |
webui: MCP Diagnostics improvements (#21803)
* Add MCP Connection diagnostics and CORS hint to web-ui * tidy up test * webui: Refactor and improve MCP diagnostic logging --------- Co-authored-by: evalstate <1936278+evalstate@users.noreply.github.com> |
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bafae27654 | Remove extra conditional check on debug mode. (#21798) b8772 | ||
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873c825611 | sycl: disable Q1_0 in backend and cleanup unused variables (#21807) b8771 | ||
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82764d8f40 |
mtmd: fix crash when sending image under 2x2 pixels (#21711)
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21a4933042 |
mtmd: qwen3 audio support (qwen3-omni and qwen3-asr) (#19441)
* add qwen3a * wip * vision ok * no more deepstack for audio * convert ASR model ok * qwen3 asr working * Apply suggestions from code review Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * nits * Apply suggestions from code review Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * fix bad merge * fix multi inheritance --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>b8769 |
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1e9d771e2c | convert : force f16 or f32 on step3-vl conv weights (#21646) | ||
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aa4695c5e5 |
mtmd: add gemma 4 test (vision + audio) [no ci] (#21806)
* mtmd: add gemma 4 test (vision + audio) * add to docs |
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547765a93e |
mtmd: add Gemma 4 audio conformer encoder support (#21421)
* mtmd: add Gemma 4 audio conformer encoder support Add audio processing for Gemma 4 E2B/E4B via a USM-style Conformer. Architecture: - 12-layer Conformer: FFN → Self-Attention → Causal Conv1D → FFN → Norm - Subsampling Conv Projection: 2x Conv2D(stride=2) with LayerNorm - Full self-attention with sinusoidal RPE and sliding window mask (24) - Logit softcapping at 50.0, ClippableLinear clamping - Output: 1024 → 1536 → RMSNorm → multimodal embedder Mel preprocessing (dedicated mtmd_audio_preprocessor_gemma4a): - HTK mel scale, 128 bins, magnitude STFT, mel_floor=1e-3 - Standard periodic Hann window (320 samples), zero-padded to FFT size - Semicausal left-padding (frame_length/2 samples) - Frame count matched to PyTorch (unfold formula) - No pre-emphasis, no Whisper-style normalization - Mel cosine similarity vs PyTorch: 0.9998 Key fixes: - Tensor loading dedup: prevent get_tensor() from creating duplicate entries in ctx_data. Fixed with std::set guard. - ClippableLinear clamp_info loading moved after per-layer tensors. - Sliding window mask (24 positions) matching PyTorch context_size. - Skip Whisper normalization for Gemma4 mel output. Tested on E2B and E4B with CPU and Vulkan backends. Transcribes: "Glad to see things are going well and business is starting to pick up" (matching ground truth). Ref: #21325b8766 |
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9e209c5aee | fix: Proper messages rendering for "Show raw output" (#21672) | ||
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6313acbef0 |
docs: add guide on how to add multimodal support (#21778)
* docs: add guide on how to add multimodal support * nits |
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ff5ef82786 | CUDA: skip compilation of superfluous FA kernels (#21768) b8763 | ||
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073bb2c20b |
mtmd : add MERaLiON-2 multimodal audio support (#21756)
* mtmd : add MERaLiON-2 multimodal audio support Adds support for A*STAR's MERaLiON-2 audio-language model (3B and 10B) to the multimodal framework. Architecture: - Whisper large-v2 encoder for audio feature extraction - Gated MLP adaptor: ln_speech -> frame stack (x15) -> Linear+SiLU -> GLU -> out_proj - Gemma2 3B / 27B decoder The mmproj GGUF is generated via convert_hf_to_gguf.py --mmproj on the full MERaLiON-2 model directory (architecture: MERaLiON2ForConditionalGeneration). The decoder is converted separately as a standard Gemma2 model after stripping the text_decoder. weight prefix. New projector type: PROJECTOR_TYPE_MERALION Supports tasks: speech transcription (EN/ZH/MS/TA), translation, spoken QA. Model: https://huggingface.co/MERaLiON/MERaLiON-2-3B https://huggingface.co/MERaLiON/MERaLiON-2-10B * simplify comments in meralion adaptor * meralion: use format_tensor_name, ascii arrows in commentsb8762 |
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af1127d3c4 |
opencl: add basic support for q5_k (#21593)
* opencl: add general q5_k mv * opencl: add flattened Q5_K mv and general Q5_K mm * opencl: fix Q5_K unit testsb8761 |
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865ff06b2f | TP: fix Qwen 3 Next data split (#21732) b8760 | ||
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2b2cd57de6 | ggml : fix a few instances of missing GGML_TYPE_Q1_0 cases (#21716) b8759 | ||
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660386f6f8 | py : Bump typer to latest to fix huggingface_hub issue (#21701) | ||
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a29e4c0b7b | CUDA: also store node->src ne/nb for graph equality (#21736) b8757 | ||
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b136b62cf9 | fix: Fix broken structured output when using $refs in json_schema (#21699) b8756 | ||
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81069a808a |
hexagon: add support for linux on snapdragon (#21707)
* hexagon: add support for debian on ex2 * hexagon: add -fvectotize to c/c++ cmake flags * hexagon: remove trailing white space * update onboarding steps * hexagon: update linux setup documentation * hexagon: update intallation scripts * Hexagon: update docs * hexagon: update onboarding scripts --------- Co-authored-by: Zack Li <zackli@qti.qualcomm.com>b8755 |
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9aa2807769 |
hexagon: improved Op queuing, buffer and cache management (#21705)
* hexagon: introduce op request batching and rewrite buffer managment The host now prepares batches of requests and dispatches them via a single dspqueue message. Buffers are mapped explicitly by NPU while processing batches. * hex-dma: disable l2 bypass since to work around new issue due to no flushes between Ops * hex-utils: add explicit l2flush and l2clear helpers * hex-opreq: use fine-grain per tensor l2 management * hex-opreq: avoid redundant invalidates for tensors we already flushed * hex-opreq: update debug messages * htp-opreq: reuse ops_context * hex-opreq: do not flush or invalidate cache lines beyond buffer boundry * hex-opreq: fix errors in log message * Revert "hex-opreq: do not flush or invalidate cache lines beyond buffer boundry" This reverts commit 8b7f0a55a750a6430ce4eb1874c7feb3d720056d. * hexagon: limit l2 flushes to 1MB which covers l2 cache * hex-opreq: limit cache flush to 4MB Looks like 4MB cont. vitual space should cover the 1MB cache. * hexagon: drop cache flush size to 2MB * hex-opreq: start reworking opreq packing * hex-opreq: introduce new way of packing opbatch where tensors are stored separately * hex-opreq: add a simple fastrpc call to force unmap all buffers * hex-l2flush: somehow 2MB does not seem robust, also cleanup step size to use line-size * hex-opreq: bump opreq batch size to 256 * hex-mm: place src1 spad at the top of vtcm for easy reuse * hex-ops: introduce internal types and disable src1 reuse for now Nothing new just formalizing the repack / qyn.quant types we've been using. * htp-opreq: use tensor pointers instead of copies * hex-opreq: introduce more robust way for tracking vtcm/spad reuse This removes the SKIP_QUANTIZE flag that became fragile with the addition of HMX and other ops. * hex-cumsum: fix error post opreq merge * hex-opreq: move request batch handling into the session Prepping everything for using dspqueue buffers and doing that inside the session is much cleaner. * hex-mm: yet another fix for src1 reuse when we're mixing hmx/hvx * hex-bufs: introduce pinned mmapings and use non-pinned ones for model buffers * hex-buf: add support for allocating shared/pinned buffer for opreqs * hex-opbatch: make opbatches configurable * hex-naming: better name for ggml_hexagon_shared_buffer * hex-naming: add session->c_name() helper * hex-opbatch: start using shm but still copy for now * hex-opbatch: use shared buffer for packing opbatch * hex-opbatch: beter naming for opbatch related classes and code * hex-opbatch: reuse batched tensors with same data/dims/strides * hex-opbatch: update logging * hex-opbatch: add support for vmem limit for op batching * hex-opbatch: update htp side to properly support dynamic mmap/unmap * hex-opbatch: add OB and OQ params for run-completion script and fix the asserts in batch processing * hex-opbatch: fixed src1 handling in act ops * hex-act: fix empty src1 handling in swiglu and friends Simplify preamble macro while at it * hex-mm: minor fix vtcm and dma handling in matmul cleaning up some left-overs from merges * hex-opbatch: allocate extra 1KB for dspqueue overhead * hexagon: fix softmax for non-aligned tensors and cleanup vtcm alloc * hex-mm: properly handle hmx_disabled flag * hex-ops: update comments * hex-ops: add debug output for get/set-rows * hex-mmap: optimize un/mapping of buffers * hex-opreq: global cache flush and invalidate beyond 128KB threshold * hex-ops: add super simple opfilter regex for debugging If an Op matches the regex hex backend will reject it. * hex-opbatch: wireup newer ops missed in merge and update main switch to detect this in future * hexagon: improved vtcm acquision to remove inter-op overhead Fully compatible with QNN-HTP coex * hex-mm: fixed hvx fallback path * hex-mm: lower the vmem threshold a bit further to ~3GB * hexagon: update debug & error logs This also fixes an issue with newer llvm merging repack and non-repack functions. We use those pointer to distinguish between buffer types. * hexagon: move ops context into main context Just a cleanup. We don't need separate contexts at this point. * hex-opbatch: cleanup naming and headers for opbatch and related descriptors * hex-fa: it's now better to enable FA during TG to reduce graph splits * hexagon: remove GGML_HEXAGON_EXPERIMENTAL env var It's no longer useful. Please use more flexible GGML_HEXAGON_OPFILTER to disable Ops if needed for debugging or validation. * hexagon: fixed editorconfig check * Update ggml/src/ggml-hexagon/ggml-hexagon.cpp Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> --------- Co-authored-by: Trivikram Reddy <tamarnat@qti.qualcomm.com> Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>b8754 |
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3fc65063d9 | common : better align to the updated official gemma4 template (#21704) b8753 |