# cmake -B build --preset "MLX CUDA 13" > ~/cmake.mt 2>&1
-- The C compiler identification is GNU 15.2.0
-- The CXX compiler identification is GNU 15.2.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
-- ccache found, compilation results will be cached. Disable with GGML_CCACHE=OFF.
-- CMAKE_SYSTEM_PROCESSOR: x86_64
-- GGML_SYSTEM_ARCH: x86
-- Including CPU backend
-- x86 detected
-- Adding CPU backend variant ggml-cpu-x64:  
-- x86 detected
-- Adding CPU backend variant ggml-cpu-sse42: -msse4.2 GGML_SSE42
-- x86 detected
-- Adding CPU backend variant ggml-cpu-sandybridge: -msse4.2;-mavx GGML_SSE42;GGML_AVX
-- x86 detected
-- Adding CPU backend variant ggml-cpu-haswell: -msse4.2;-mf16c;-mfma;-mbmi2;-mavx;-mavx2 GGML_SSE42;GGML_F16C;GGML_FMA;GGML_BMI2;GGML_AVX;GGML_AVX2
-- x86 detected
-- Adding CPU backend variant ggml-cpu-skylakex: -msse4.2;-mf16c;-mfma;-mbmi2;-mavx;-mavx2;-mavx512f;-mavx512cd;-mavx512vl;-mavx512dq;-mavx512bw GGML_SSE42;GGML_F16C;GGML_FMA;GGML_BMI2;GGML_AVX;GGML_AVX2;GGML_AVX512
-- x86 detected
-- Adding CPU backend variant ggml-cpu-icelake: -msse4.2;-mf16c;-mfma;-mbmi2;-mavx;-mavx2;-mavx512f;-mavx512cd;-mavx512vl;-mavx512dq;-mavx512bw;-mavx512vbmi;-mavx512vnni GGML_SSE42;GGML_F16C;GGML_FMA;GGML_BMI2;GGML_AVX;GGML_AVX2;GGML_AVX512;GGML_AVX512_VBMI;GGML_AVX512_VNNI
-- x86 detected
-- Adding CPU backend variant ggml-cpu-alderlake: -msse4.2;-mf16c;-mfma;-mbmi2;-mavx;-mavx2;-mavxvnni GGML_SSE42;GGML_F16C;GGML_FMA;GGML_BMI2;GGML_AVX;GGML_AVX2;GGML_AVX_VNNI
-- Looking for a CUDA compiler
-- Looking for a CUDA compiler - /usr/local/cuda-13.2/bin/nvcc
-- Found CUDAToolkit: /usr/local/cuda-13.2/targets/x86_64-linux/include;/usr/local/cuda-13.2/targets/x86_64-linux/include/cccl (found version "13.2.51")
-- CUDA Toolkit found
-- Using CUDA architectures: 75-virtual;80-virtual;86-virtual;87-virtual;89-virtual;90-virtual;90a-virtual;100-virtual;103-virtual;110-virtual;120-virtual;121-virtual
-- The CUDA compiler identification is NVIDIA 13.2.51 with host compiler GNU 15.2.0
-- Detecting CUDA compiler ABI info
-- Detecting CUDA compiler ABI info - done
-- Check for working CUDA compiler: /usr/local/cuda-13.2/bin/nvcc - skipped
-- Detecting CUDA compile features
-- Detecting CUDA compile features - done
-- Looking for a HIP compiler
-- Looking for a HIP compiler - NOTFOUND
-- Found Vulkan: /usr/lib64/libvulkan.so (found version "1.4.341") found components: glslc glslangValidator
-- Vulkan found
-- GL_KHR_cooperative_matrix supported by glslc
-- GL_NV_cooperative_matrix2 supported by glslc
-- GL_EXT_integer_dot_product supported by glslc
-- GL_EXT_bfloat16 supported by glslc
-- Setting up MLX (this takes a while...)
-- Non-macOS platform detected. Setting MLX_BUILD_METAL=OFF
-- Using CUDNN_INCLUDE_PATH from environment: /usr/share/cuda/include
-- Using CUDNN_LIBRARY_PATH from environment: /usr/share/cuda/lib64
-- Enabling MLX CUDA backend with architectures: 86;89;90;90a;100;103;75-virtual;80-virtual;110-virtual;120-virtual;121-virtual
-- Building MLX for x86_64 processor on Linux
-- Found CCache: /usr/bin/ccache
-- Found CUDNN: /usr/share/cuda/include
-- Accelerate not found, using default backend.
-- Looking for sgemm_
-- Looking for sgemm_ - not found
-- Looking for sgemm_
-- Looking for sgemm_ - found
-- Found BLAS: /usr/lib64/libopenblas.so
-- Looking for cheev_
-- Looking for cheev_ - found
-- Found LAPACK: /usr/lib64/libopenblas.so;-lm;-ldl
-- Lapack lib /usr/lib64/libopenblas.so-lm-ldl
-- Lapack include /usr/include
-- Blas lib /usr/lib64/libopenblas.so
-- Blas include /usr/include
-- Downloading json
-- Using the multi-header code from /home/daniel/Projects/ML-LLMs-and-CUDA/ollama.git/build/_deps/json-src/include/
-- Could NOT find NCCL (missing: NCCL_INCLUDE_DIRS NCCL_LIBRARIES) 
-- NCCL not found, using stubs. To run distributed with NCCL backend, install NCCL.
-- CUDA architectures: 86;89;90;90a;100;103;75-virtual;80-virtual;110-virtual;120-virtual;121-virtual
-- {fmt} version: 12.1.0
-- Build type: Release
-- MLX version (local dev): 0.30.6-0-g185b06d
-- Configuring done (52.6s)
-- Generating done (0.1s)
-- Build files have been written to: /home/daniel/Projects/ML-LLMs-and-CUDA/ollama.git/build