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llama.cpp ReleasesSource publicationSource language · English

[Pre-release / continuous build] b11815

Pre-release / continuous build: this is an experimental build, not a stable release.

Pre-release / continuous build: this is an experimental build, not a stable release.

sycl: fix CONV_2D wrong results for non-contiguous input (#30363) * sycl: fix CONV_2D wrong results for non-contiguous input The kernel indexes the `input` as a contiguous [W, H, C, N] tensor, but supports_op claimed the op for any layout. A non-contiguous (e.g. `CWHN` permuted) input was read with the wrong element offsets, silently producing wrong results. Gate the CONV_2D op on `input` and `kernel` contiguity, matching the CUDA backend contract, and assert input contiguity in the op. `test-backend-ops -b SYCL0 -o CONV_2D`: goes from 16 failures to 0, none. 
  2006/2006 tests passed
  Backend SYCL0: OK
Backend 2/2: CPU
  Skipping
2/2 backends passed
OK
Assisted-by: pi (unsloth/Qwen3.8-27B-GGUF:Q4_K_M via llama.cpp) * sycl : CONV_2D cwhn=1 support Make the SYCL backend compute `GGML_OP_CONV_2D` correctly for `cwhn=1` (CWHN channel-order) inputs and kernels, so the previously failing test- backend-ops CONV_2D cases pass on SYCL instead of being skipped or miscomputed. - Implement CWHN layout support in `ggml/src/ggml-sycl/conv2d.cpp` (`ggml_sycl_op_conv2d`). - Update SYCL `supports_op` for `GGML_OP_CONV_2D` in `ggml/src/ggml-sycl/ggml-sycl.cpp` to accept both layouts. Assisted-by: pi (Greatjedi/Qwen3.8-27B-Intel-Arc-Tuned-GGUF via llama.cpp) * sycl docs : update ops for SYCL

Website: - https://llama.app

Attestations: - https://github.com/ggml-org/llama.cpp/attestations/58574646

macOS/iOS: - macOS Apple Silicon (arm64) - macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED - macOS Intel (x64) - iOS XCFramework

Linux: - Ubuntu x64 (CPU) - Ubuntu arm64 (CPU) - Ubuntu s390x (CPU) - Ubuntu x64 (Vulkan) - Ubuntu arm64 (Vulkan) - Ubuntu x64 (CUDA 12) - CUDA 12.8 libraries - Ubuntu x64 (CUDA 13) - CUDA 13.4 libraries - Ubuntu arm64 (CUDA 13) - CUDA 13.4 libraries - Ubuntu x64 (ROCm 10.0) - Ubuntu x64 (OpenVINO) - Ubuntu x64 (SYCL FP32) - Ubuntu x64 (SYCL FP16) - Linux arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide

Android: - Android arm64 (CPU) - Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide

Windows: - Windows x64 (CPU) - Windows arm64 (CPU) - Windows arm64 (OpenCL Adreno) - Windows x64 (CUDA 12) - CUDA 12.4 DLLs - Windows x64 (CUDA 13) - CUDA 13.4 DLLs - Windows arm64 (CUDA 13) - CUDA 13.4 DLLs - Windows x64 (Vulkan) - Windows arm64 (Vulkan) - Windows x64 (OpenVINO) - Windows x64 (SYCL) - Windows x64 (ROCm 10.0)

openEuler: - DISABLED - openEuler x86 (310p) - openEuler x86 (910b, ACL Graph) - openEuler aarch64 (310p) - openEuler aarch64 (910b, ACL Graph)

UI: - UI

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llama.cpp Releases

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