stable-diffusion-cpp-nvidia/CMakeCache.txt

# This is the CMakeCache file.
# For build in directory: /kaggle/working/stable-diffusion.cpp/build
# It was generated by CMake: /usr/local/lib/python3.12/dist-packages/cmake/data/bin/cmake
# You can edit this file to change values found and used by cmake.
# If you do not want to change any of the values, simply exit the editor.
# If you do want to change a value, simply edit, save, and exit the editor.
# The syntax for the file is as follows:
# KEY:TYPE=VALUE
# KEY is the name of a variable in the cache.
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########################
# EXTERNAL cache entries
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CMAKE_INSTALL_LOCALSTATEDIR:PATH=var

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//Flags used by the linker during the creation of shared libraries
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//Flags used by the linker during the creation of shared libraries
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CMAKE_SKIP_INSTALL_RPATH:BOOL=NO

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CMAKE_SKIP_RPATH:BOOL=NO

//Flags used by the linker during the creation of static libraries
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CMAKE_STATIC_LINKER_FLAGS:STRING=

//Flags used by the linker during the creation of static libraries
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//Flags used by the linker during the creation of static libraries
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//Path to a library.
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//Path to a library.
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//Path to a library.
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//Path to a library.
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//ggml: enable Accelerate framework
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//ggml: use ccache if available
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//Path to a program.
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GGML_CPU:BOOL=ON

//ggml: build all variants of the CPU backend (requires GGML_BACKEND_DL)
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GGML_CPU_ARM_ARCH:STRING=

//ggml: use memkind for CPU HBM
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//ggml: use KleidiAI optimized kernels if applicable
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//ggml: use runtime weight conversion of Q4_0 to Q4_X_X
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//ggml: compile ggml FlashAttention CUDA kernels
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//ggml: use mmq kernels instead of cuBLAS
GGML_CUDA_FORCE_MMQ:BOOL=OFF

//ggml: use CUDA graphs (llama.cpp only)
GGML_CUDA_GRAPHS:BOOL=OFF

//ggml: do not use peer to peer copies
GGML_CUDA_NO_PEER_COPY:BOOL=OFF

//ggml: do not try to use CUDA VMM
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//ggml: max. batch size for using peer access
GGML_CUDA_PEER_MAX_BATCH_SIZE:STRING=128

//ggml: enable F16C
GGML_F16C:BOOL=OFF

//ggml: enable -Werror flag
GGML_FATAL_WARNINGS:BOOL=OFF

//ggml: enable FMA
GGML_FMA:BOOL=OFF

//ggml: enable gprof
GGML_GPROF:BOOL=OFF

//ggml: enable Hexagon backend
GGML_HEXAGON:BOOL=OFF

//ggml: quantize group size (32, 64, or 128)
GGML_HEXAGON_FP32_QUANTIZE_GROUP_SIZE:STRING=128

//ggml: use HIP
GGML_HIP:BOOL=OFF

//ggml: enable kernel perf metrics output
GGML_HIP_EXPORT_METRICS:BOOL=OFF

//ggml: use HIP graph, experimental, slow
GGML_HIP_GRAPHS:BOOL=OFF

//ggml: enable MFMA MMA for CDNA in MMQ
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//ggml: do not try to use HIP VMM
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//ggml: enable rocWMMA for FlashAttention
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//Location of header  files
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//ggml: enable lasx
GGML_LASX:BOOL=ON

//Location of library files
GGML_LIB_INSTALL_DIR:PATH=lib

//ggml: use LLAMAFILE
GGML_LLAMAFILE:BOOL=OFF

//ggml: enable lsx
GGML_LSX:BOOL=ON

//ggml: enable link time optimization
GGML_LTO:BOOL=OFF

//ggml: use Metal
GGML_METAL:BOOL=OFF

//ggml: embed Metal library
GGML_METAL_EMBED_LIBRARY:BOOL=OFF

//ggml: metal minimum macOS version
GGML_METAL_MACOSX_VERSION_MIN:STRING=

//ggml: disable Metal debugging
GGML_METAL_NDEBUG:BOOL=OFF

//ggml: compile Metal with -fno-fast-math
GGML_METAL_SHADER_DEBUG:BOOL=OFF

//ggml: metal standard version (-std flag)
GGML_METAL_STD:STRING=

//ggml: use MUSA
GGML_MUSA:BOOL=OFF

//ggml: use MUSA graph, experimental, unstable
GGML_MUSA_GRAPHS:BOOL=OFF

//ggml: enable muDNN for accelerated copy
GGML_MUSA_MUDNN_COPY:BOOL=OFF

//ggml: optimize the build for the current system
GGML_NATIVE:BOOL=ON

//ggml: use OpenCL
GGML_OPENCL:BOOL=OFF

//ggml: embed kernels
GGML_OPENCL_EMBED_KERNELS:BOOL=ON

//ggml: use OpenCL profiling (increases overhead)
GGML_OPENCL_PROFILING:BOOL=OFF

//gmml: OpenCL API version to target
GGML_OPENCL_TARGET_VERSION:STRING=300

//ggml: use optimized kernels for Adreno
GGML_OPENCL_USE_ADRENO_KERNELS:BOOL=ON

//ggml: use OpenMP
GGML_OPENMP:BOOL=ON

//ggml: use RPC
GGML_RPC:BOOL=OFF

//ggml: enable rvv
GGML_RVV:BOOL=ON

//ggml: enable riscv zfh
GGML_RV_ZFH:BOOL=ON

//ggml: enable riscv zicbop
GGML_RV_ZICBOP:BOOL=ON

//ggml: enable riscv zihintpause 
GGML_RV_ZIHINTPAUSE:BOOL=ON

//ggml: enable riscv zvfh
GGML_RV_ZVFH:BOOL=ON

//ggml: enable address sanitizer
GGML_SANITIZE_ADDRESS:BOOL=OFF

//ggml: enable thread sanitizer
GGML_SANITIZE_THREAD:BOOL=OFF

//ggml: enable undefined sanitizer
GGML_SANITIZE_UNDEFINED:BOOL=OFF

//Path to a program.
GGML_SCCACHE_FOUND:FILEPATH=GGML_SCCACHE_FOUND-NOTFOUND

//ggml: max input copies for pipeline parallelism
GGML_SCHED_MAX_COPIES:STRING=4

//ggml: disallow reallocations in ggml-alloc (for debugging)
GGML_SCHED_NO_REALLOC:BOOL=OFF

//ggml: enable SSE 4.2
GGML_SSE42:BOOL=OFF

//ggml: static link libraries
GGML_STATIC:BOOL=OFF

//ggml: use SYCL
GGML_SYCL:BOOL=OFF

//ggml: sycl device architecture
GGML_SYCL_DEVICE_ARCH:STRING=

//ggml: enable oneDNN in the SYCL backend
GGML_SYCL_DNN:BOOL=ON

//ggml: use 16 bit floats for sycl calculations
GGML_SYCL_F16:BOOL=OFF

//ggml: enable graphs in the SYCL backend
GGML_SYCL_GRAPH:BOOL=ON

//ggml: sycl target device
GGML_SYCL_TARGET:STRING=INTEL

//ggml: use the VirtGPU/Virglrenderer API Remoting frontend
GGML_VIRTGPU:BOOL=OFF

//ggml: build the VirtGPU/Virglrenderer API Remoting backend
GGML_VIRTGPU_BACKEND:BOOL=OFF

//ggml: use Vulkan
GGML_VULKAN:BOOL=OFF

//ggml: run Vulkan op checks
GGML_VULKAN_CHECK_RESULTS:BOOL=OFF

//ggml: enable Vulkan debug output
GGML_VULKAN_DEBUG:BOOL=OFF

//ggml: enable Vulkan memory debug output
GGML_VULKAN_MEMORY_DEBUG:BOOL=OFF

//ggml: run Vulkan tests
GGML_VULKAN_RUN_TESTS:BOOL=OFF

//ggml: toolchain file for vulkan-shaders-gen
GGML_VULKAN_SHADERS_GEN_TOOLCHAIN:FILEPATH=

//ggml: enable Vulkan shader debug info
GGML_VULKAN_SHADER_DEBUG_INFO:BOOL=OFF

//ggml: enable Vulkan validation
GGML_VULKAN_VALIDATE:BOOL=OFF

//ggml: enable vxe
GGML_VXE:BOOL=ON

//ggml: use WebGPU
GGML_WEBGPU:BOOL=OFF

//ggml: enable WebGPU profiling (CPU)
GGML_WEBGPU_CPU_PROFILE:BOOL=OFF

//ggml: enable WebGPU debug output
GGML_WEBGPU_DEBUG:BOOL=OFF

//ggml: enable WebGPU profiling (GPU)
GGML_WEBGPU_GPU_PROFILE:BOOL=OFF

//ggml: use JSPI for WebGPU
GGML_WEBGPU_JSPI:BOOL=ON

//ggml: enable xtheadvector
GGML_XTHEADVECTOR:BOOL=OFF

//ggml: use zDNN
GGML_ZDNN:BOOL=OFF

//ggml: use ZenDNN
GGML_ZENDNN:BOOL=OFF

//Path to a program.
GIT_EXE:FILEPATH=/usr/bin/git

//Path to a library.
MATH_LIBRARY:FILEPATH=/usr/lib/x86_64-linux-gnu/libm.so

//CXX compiler flags for OpenMP parallelization
OpenMP_CXX_FLAGS:STRING=-fopenmp

//CXX compiler libraries for OpenMP parallelization
OpenMP_CXX_LIB_NAMES:STRING=gomp;pthread

//C compiler flags for OpenMP parallelization
OpenMP_C_FLAGS:STRING=-fopenmp

//C compiler libraries for OpenMP parallelization
OpenMP_C_LIB_NAMES:STRING=gomp;pthread

//Path to the gomp library for OpenMP
OpenMP_gomp_LIBRARY:FILEPATH=/usr/lib/gcc/x86_64-linux-gnu/11/libgomp.so

//Path to the pthread library for OpenMP
OpenMP_pthread_LIBRARY:FILEPATH=/usr/lib/x86_64-linux-gnu/libpthread.a

//sd: build examples
SD_BUILD_EXAMPLES:BOOL=ON

//sd: build ggml as a separate shared lib
SD_BUILD_SHARED_GGML_LIB:BOOL=OFF

//sd: build shared libs
SD_BUILD_SHARED_LIBS:BOOL=OFF

//sd: cuda backend
SD_CUDA:BOOL=ON

//sd: x1.5 faster softmax, indeterministic (sometimes, same seed
// don't generate same image), cuda only
SD_FAST_SOFTMAX:BOOL=OFF

//sd: rocm backend
SD_HIPBLAS:BOOL=OFF

//sd: metal backend
SD_METAL:BOOL=OFF

//sd: musa backend
SD_MUSA:BOOL=OFF

//sd: opencl backend
SD_OPENCL:BOOL=OFF

//sd: sycl backend
SD_SYCL:BOOL=OFF

//sd: use system-installed GGML library
SD_USE_SYSTEM_GGML:BOOL=OFF

//sd: vulkan backend
SD_VULKAN:BOOL=OFF

//ggml: path to ZenDNN installation
ZENDNN_ROOT:BOOL=OFF

//Value Computed by CMake
ggml_BINARY_DIR:STATIC=/kaggle/working/stable-diffusion.cpp/build/ggml

//Value Computed by CMake
ggml_IS_TOP_LEVEL:STATIC=OFF

//Value Computed by CMake
ggml_SOURCE_DIR:STATIC=/kaggle/working/stable-diffusion.cpp/ggml

//Value Computed by CMake
stable-diffusion_BINARY_DIR:STATIC=/kaggle/working/stable-diffusion.cpp/build

//Value Computed by CMake
stable-diffusion_IS_TOP_LEVEL:STATIC=ON

//Value Computed by CMake
stable-diffusion_SOURCE_DIR:STATIC=/kaggle/working/stable-diffusion.cpp


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# INTERNAL cache entries
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