b10171

opencl: skip the Adreno KQ/KQV image kernels for multi-stream batches (#26189) The Adreno KQ/KQV image1d kernels (ggml_cl_mul_mat_kq_kqv_adreno) ignore dim 3 entirely: the sub-buffer covers only nb02*ne02 bytes and the kernel receives no ne03/ne13/nb03/nb13 arguments. With the unified KV cache, multi-sequence batches (e.g. llama-perplexity with its default -b 2048, n_seq=4, or a multi-slot llama-server) present KQ/KQV as 4D tensors with ne3 = n_stream, so every stream past the first reads the first stream's K/V and produces garbage. Flash attention masks the bug where it is enabled; devices where FA is declined (e.g. Adreno 740) hit it with default settings. Route ne03/ne13 > 1 to the general path, which handles dim 3, and honor view_offs when creating the sub-buffers (currently always 0 for tensors reaching this function, but the function would silently misread any future view). Llama-3.2-1B-Instruct Q4_0, wiki.test.raw, 8 chunks, -ngl 99: Adreno 740, default: PPL 1817.64 -> 15.61 Adreno 740, -fa 0: PPL 1941.64 -> 15.61 Adreno 840, -fa 0: PPL 1943.90 -> 15.50 single-stream (-b 512) results unchanged (15.6090) test-backend-ops -o MUL_MAT on 740: identical before/after (909 OK, 12 pre-existing q6_K failures) Website: https://llama.app 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 (ROCm 7.2) Ubuntu x64 (OpenVINO) Ubuntu x64 (SYCL FP32) Ubuntu x64 (SYCL FP16) Android: Android arm64 (CPU) Windows: Windows x64 (CPU) Windows arm64 (CPU) Windows arm64 (OpenCL Adreno) Windows x64 (CUDA 12) - CUDA 12.4 DLLs Windows x64 (CUDA 13) - CUDA 13.3 DLLs Windows x64 (Vulkan) Windows x64 (OpenVINO) Windows x64 (SYCL) Windows x64 (HIP) openEuler: DISABLED openEuler x86 (310p) openEuler x86 (910b, ACL Graph) openEuler aarch64 (310p) openEuler aarch64 (910b, ACL Graph) UI: UI

Source: llama.cpp Releases | 2026-07-28

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