mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-11-07 16:44:13 +01:00
feat: Support Moore Threads GPU (llama/8383)
* Update doc for MUSA Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> * Add GGML_MUSA in Makefile Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> * Add GGML_MUSA in CMake Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> * CUDA => MUSA Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> * MUSA adds support for __vsubss4 Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> * Fix CI build failure Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com> --------- Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
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@ -113,6 +113,7 @@ set(GGML_BLAS_VENDOR ${GGML_BLAS_VENDOR_DEFAULT} CACHE STRING
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option(GGML_LLAMAFILE "ggml: use LLAMAFILE" OFF)
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option(GGML_CUDA "ggml: use CUDA" OFF)
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option(GGML_MUSA "ggml: use MUSA" OFF)
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option(GGML_CUDA_FORCE_DMMV "ggml: use dmmv instead of mmvq CUDA kernels" OFF)
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option(GGML_CUDA_FORCE_MMQ "ggml: use mmq kernels instead of cuBLAS" OFF)
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option(GGML_CUDA_FORCE_CUBLAS "ggml: always use cuBLAS instead of mmq kernels" OFF)
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@ -6,6 +6,9 @@
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#ifdef GGML_USE_HIPBLAS
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#define GGML_CUDA_NAME "ROCm"
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#define GGML_CUBLAS_NAME "hipBLAS"
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#elif defined(GGML_USE_MUSA)
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#define GGML_CUDA_NAME "MUSA"
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#define GGML_CUBLAS_NAME "muBLAS"
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#else
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#define GGML_CUDA_NAME "CUDA"
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#define GGML_CUBLAS_NAME "cuBLAS"
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@ -139,6 +139,17 @@ if (GGML_METAL)
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)
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endif()
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if (GGML_MUSA)
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set(CMAKE_C_COMPILER clang)
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set(CMAKE_C_EXTENSIONS OFF)
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set(CMAKE_CXX_COMPILER clang++)
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set(CMAKE_CXX_EXTENSIONS OFF)
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set(GGML_CUDA ON)
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list(APPEND GGML_CDEF_PUBLIC GGML_USE_MUSA)
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endif()
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if (GGML_OPENMP)
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find_package(OpenMP)
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if (OpenMP_FOUND)
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@ -147,6 +158,11 @@ if (GGML_OPENMP)
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add_compile_definitions(GGML_USE_OPENMP)
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set(GGML_EXTRA_LIBS ${GGML_EXTRA_LIBS} OpenMP::OpenMP_C OpenMP::OpenMP_CXX)
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if (GGML_MUSA)
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set(GGML_EXTRA_INCLUDES ${GGML_EXTRA_INCLUDES} "/usr/lib/llvm-10/include/openmp")
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set(GGML_EXTRA_LIBS ${GGML_EXTRA_LIBS} "/usr/lib/llvm-10/lib/libomp.so")
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endif()
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else()
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message(WARNING "OpenMP not found")
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endif()
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@ -249,7 +265,13 @@ endif()
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if (GGML_CUDA)
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cmake_minimum_required(VERSION 3.18) # for CMAKE_CUDA_ARCHITECTURES
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find_package(CUDAToolkit)
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if (GGML_MUSA)
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list(APPEND CMAKE_MODULE_PATH "/usr/local/musa/cmake/")
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find_package(MUSAToolkit)
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set(CUDAToolkit_FOUND ${MUSAToolkit_FOUND})
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else()
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find_package(CUDAToolkit)
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endif()
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if (CUDAToolkit_FOUND)
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message(STATUS "CUDA found")
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@ -268,7 +290,11 @@ if (GGML_CUDA)
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endif()
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message(STATUS "Using CUDA architectures: ${CMAKE_CUDA_ARCHITECTURES}")
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enable_language(CUDA)
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if (GGML_MUSA)
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set(CMAKE_CUDA_COMPILER ${MUSAToolkit_MCC_EXECUTABLE})
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else()
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enable_language(CUDA)
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endif()
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file(GLOB GGML_HEADERS_CUDA "ggml-cuda/*.cuh")
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list(APPEND GGML_HEADERS_CUDA "../include/ggml-cuda.h")
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@ -332,21 +358,40 @@ if (GGML_CUDA)
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add_compile_definitions(GGML_CUDA_NO_PEER_COPY)
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endif()
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if (GGML_MUSA)
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set_source_files_properties(${GGML_SOURCES_CUDA} PROPERTIES LANGUAGE CXX)
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foreach(SOURCE ${GGML_SOURCES_CUDA})
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set_property(SOURCE ${SOURCE} PROPERTY COMPILE_FLAGS "-x musa -mtgpu --cuda-gpu-arch=mp_22")
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endforeach()
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endif()
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if (GGML_STATIC)
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if (WIN32)
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# As of 12.3.1 CUDA Toolkit for Windows does not offer a static cublas library
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set(GGML_EXTRA_LIBS ${GGML_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas CUDA::cublasLt)
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else ()
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set(GGML_EXTRA_LIBS ${GGML_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas_static CUDA::cublasLt_static)
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if (GGML_MUSA)
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set(GGML_EXTRA_LIBS ${GGML_EXTRA_LIBS} MUSA::musart_static MUSA::mublas_static)
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else()
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set(GGML_EXTRA_LIBS ${GGML_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas_static CUDA::cublasLt_static)
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endif()
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endif()
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else()
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set(GGML_EXTRA_LIBS ${GGML_EXTRA_LIBS} CUDA::cudart CUDA::cublas CUDA::cublasLt)
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if (GGML_MUSA)
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set(GGML_EXTRA_LIBS ${GGML_EXTRA_LIBS} MUSA::musart MUSA::mublas)
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else()
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set(GGML_EXTRA_LIBS ${GGML_EXTRA_LIBS} CUDA::cudart CUDA::cublas CUDA::cublasLt)
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endif()
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endif()
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if (GGML_CUDA_NO_VMM)
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# No VMM requested, no need to link directly with the cuda driver lib (libcuda.so)
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else()
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set(GGML_EXTRA_LIBS ${GGML_EXTRA_LIBS} CUDA::cuda_driver) # required by cuDeviceGetAttribute(), cuMemGetAllocationGranularity(...), ...
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if (GGML_MUSA)
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set(GGML_EXTRA_LIBS ${GGML_EXTRA_LIBS} MUSA::musa_driver) # required by muDeviceGetAttribute(), muMemGetAllocationGranularity(...), ...
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else()
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set(GGML_EXTRA_LIBS ${GGML_EXTRA_LIBS} CUDA::cuda_driver) # required by cuDeviceGetAttribute(), cuMemGetAllocationGranularity(...), ...
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endif()
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endif()
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else()
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message(WARNING "CUDA not found")
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@ -857,8 +902,10 @@ function(get_flags CCID CCVER)
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set(C_FLAGS -Wdouble-promotion)
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set(CXX_FLAGS -Wno-array-bounds)
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if (CCVER VERSION_GREATER_EQUAL 7.1.0)
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list(APPEND CXX_FLAGS -Wno-format-truncation)
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if (NOT GGML_MUSA)
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if (CCVER VERSION_GREATER_EQUAL 7.1.0)
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list(APPEND CXX_FLAGS -Wno-format-truncation)
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endif()
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endif()
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if (CCVER VERSION_GREATER_EQUAL 8.1.0)
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list(APPEND CXX_FLAGS -Wextra-semi)
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@ -1264,6 +1311,7 @@ endif()
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target_compile_definitions(ggml PUBLIC ${GGML_CDEF_PUBLIC})
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target_include_directories(ggml PUBLIC ../include)
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target_include_directories(ggml PRIVATE . ${GGML_EXTRA_INCLUDES})
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target_link_directories(ggml PRIVATE ${GGML_EXTRA_LIBDIRS})
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target_compile_features (ggml PRIVATE c_std_11) # don't bump
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target_link_libraries(ggml PRIVATE Threads::Threads ${GGML_EXTRA_LIBS})
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@ -19,7 +19,11 @@ typedef half2 ggml_half2;
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#define GGML_COMMON_DECL
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#elif defined(GGML_COMMON_DECL_CUDA)
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#if defined(GGML_COMMON_DECL_MUSA)
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#include <musa_fp16.h>
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#else
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#include <cuda_fp16.h>
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#endif
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#include <cstdint>
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typedef half ggml_half;
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@ -415,7 +419,7 @@ static_assert(sizeof(block_iq4_xs) == sizeof(ggml_half) + sizeof(uint16_t) + QK_
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#define GGML_TABLE_END() };
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#define GGML_COMMON_IMPL
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#elif defined(GGML_COMMON_IMPL_CUDA) || defined(GGML_COMMON_IMPL_HIP)
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#elif defined(GGML_COMMON_IMPL_CUDA) || defined(GGML_COMMON_IMPL_HIP) || defined(GGML_COMMON_IMPL_MUSA)
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#include <cstdint>
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#define GGML_TABLE_BEGIN(type, name, size) static const __device__ type name[size] = {
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@ -167,7 +167,7 @@ static ggml_cuda_device_info ggml_cuda_init() {
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for (int id = 0; id < info.device_count; ++id) {
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int device_vmm = 0;
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#if !defined(GGML_USE_HIPBLAS) && !defined(GGML_CUDA_NO_VMM)
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#if !defined(GGML_USE_HIPBLAS) && !defined(GGML_CUDA_NO_VMM) && !defined(GGML_USE_MUSA)
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CUdevice device;
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CU_CHECK(cuDeviceGet(&device, id));
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CU_CHECK(cuDeviceGetAttribute(&device_vmm, CU_DEVICE_ATTRIBUTE_VIRTUAL_MEMORY_MANAGEMENT_SUPPORTED, device));
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@ -179,7 +179,7 @@ static ggml_cuda_device_info ggml_cuda_init() {
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alloc_prop.location.id = id;
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CU_CHECK(cuMemGetAllocationGranularity(&info.devices[id].vmm_granularity, &alloc_prop, CU_MEM_ALLOC_GRANULARITY_RECOMMENDED));
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}
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#endif // !defined(GGML_USE_HIPBLAS)
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#endif // !defined(GGML_USE_HIPBLAS) && !defined(GGML_CUDA_NO_VMM) && !defined(GGML_USE_MUSA)
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info.devices[id].vmm = !!device_vmm;
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cudaDeviceProp prop;
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@ -315,7 +315,7 @@ struct ggml_cuda_pool_leg : public ggml_cuda_pool {
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};
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// pool with virtual memory
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#if !defined(GGML_USE_HIPBLAS) && !defined(GGML_CUDA_NO_VMM)
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#if !defined(GGML_USE_HIPBLAS) && !defined(GGML_CUDA_NO_VMM) && !defined(GGML_USE_MUSA)
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struct ggml_cuda_pool_vmm : public ggml_cuda_pool {
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static const size_t CUDA_POOL_VMM_MAX_SIZE = 1ull << 35; // 32 GB
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@ -409,14 +409,14 @@ struct ggml_cuda_pool_vmm : public ggml_cuda_pool {
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GGML_ASSERT(ptr == (void *) (pool_addr + pool_used));
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}
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};
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#endif // !defined(GGML_USE_HIPBLAS)
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#endif // !defined(GGML_USE_HIPBLAS) && !defined(GGML_CUDA_NO_VMM) && !defined(GGML_USE_MUSA)
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std::unique_ptr<ggml_cuda_pool> ggml_backend_cuda_context::new_pool_for_device(int device) {
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#if !defined(GGML_USE_HIPBLAS) && !defined(GGML_CUDA_NO_VMM)
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#if !defined(GGML_USE_HIPBLAS) && !defined(GGML_CUDA_NO_VMM) && !defined(GGML_USE_MUSA)
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if (ggml_cuda_info().devices[device].vmm) {
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return std::unique_ptr<ggml_cuda_pool>(new ggml_cuda_pool_vmm(device));
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}
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#endif
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#endif // !defined(GGML_USE_HIPBLAS) && !defined(GGML_CUDA_NO_VMM) && !defined(GGML_USE_MUSA)
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return std::unique_ptr<ggml_cuda_pool>(new ggml_cuda_pool_leg(device));
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}
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@ -1341,7 +1341,7 @@ static void ggml_cuda_set_peer_access(const int n_tokens, int main_device) {
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static cudaError_t ggml_cuda_Memcpy2DPeerAsync(
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void * dst, int dstDevice, size_t dpitch, void * src, int srcDevice, size_t spitch, size_t width, size_t height, cudaStream_t stream) {
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#if !defined(GGML_USE_HIPBLAS)
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#if !defined(GGML_USE_HIPBLAS) && !defined(GGML_USE_MUSA)
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// cudaMemcpy2DAsync may fail with copies between vmm pools of different devices
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cudaMemcpy3DPeerParms p = {};
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p.dstDevice = dstDevice;
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@ -1355,7 +1355,7 @@ static cudaError_t ggml_cuda_Memcpy2DPeerAsync(
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GGML_UNUSED(dstDevice);
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GGML_UNUSED(srcDevice);
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return cudaMemcpy2DAsync(dst, dpitch, src, spitch, width, height, cudaMemcpyDeviceToDevice, stream);
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#endif // !defined(GGML_USE_HIPBLAS)
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#endif // !defined(GGML_USE_HIPBLAS) && !defined(GGML_USE_MUSA)
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}
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static void ggml_cuda_op_mul_mat(
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@ -1828,6 +1828,9 @@ static void ggml_cuda_mul_mat_batched_cublas(ggml_backend_cuda_context & ctx, co
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}
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}
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#else
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#ifdef GGML_USE_MUSA
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GGML_ASSERT(false);
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#else // !GGML_USE_MUSA
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if (r2 == 1 && r3 == 1 && ggml_is_contiguous_2(src0) && ggml_is_contiguous_2(src1)) {
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// there is no broadcast and src0, src1 are contiguous across dims 2, 3
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// use cublasGemmStridedBatchedEx
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@ -1870,6 +1873,7 @@ static void ggml_cuda_mul_mat_batched_cublas(ggml_backend_cuda_context & ctx, co
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cu_compute_type,
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CUBLAS_GEMM_DEFAULT_TENSOR_OP));
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}
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#endif // GGML_USE_MUSA
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#endif
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if (dst->op_params[0] == GGML_PREC_DEFAULT) {
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@ -3027,7 +3031,7 @@ GGML_CALL bool ggml_backend_cuda_register_host_buffer(void * buffer, size_t size
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return false;
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}
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#if CUDART_VERSION >= 11100
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#if CUDART_VERSION >= 11100 || defined(GGML_USE_MUSA)
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cudaError_t err = cudaHostRegister(buffer, size, cudaHostRegisterPortable | cudaHostRegisterReadOnly);
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if (err != cudaSuccess) {
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// clear the error
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@ -12,6 +12,10 @@
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#else
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#define GGML_COMMON_DECL_CUDA
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#define GGML_COMMON_IMPL_CUDA
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#if defined(GGML_USE_MUSA)
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#define GGML_COMMON_DECL_MUSA
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#define GGML_COMMON_IMPL_MUSA
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#endif
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#endif
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#include "ggml-common.h"
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@ -114,6 +118,150 @@
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#define CUBLAS_STATUS_EXECUTION_FAILED HIPBLAS_STATUS_EXECUTION_FAILED
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#define CUBLAS_STATUS_INTERNAL_ERROR HIPBLAS_STATUS_INTERNAL_ERROR
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#define CUBLAS_STATUS_NOT_SUPPORTED HIPBLAS_STATUS_NOT_SUPPORTED
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#elif defined(GGML_USE_MUSA)
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#include <musa_runtime.h>
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#include <musa.h>
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#include <mublas.h>
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#include <musa_fp16.h>
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// XXX: Keep the following order the same as hipBLAS
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// #define CUBLAS_COMPUTE_16F MUBLAS_COMPUTE_16F
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// #define CUBLAS_COMPUTE_32F MUBLAS_COMPUTE_32F
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#define CUBLAS_COMPUTE_32F_FAST_16F MUBLAS_COMPUTE_32F_FAST_16F
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#define CUBLAS_GEMM_DEFAULT MUBLAS_GEMM_DEFAULT
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#define CUBLAS_GEMM_DEFAULT_TENSOR_OP MUBLAS_GEMM_DEFAULT
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#define CUBLAS_OP_N MUBLAS_OP_N
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#define CUBLAS_OP_T MUBLAS_OP_T
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#define CUBLAS_STATUS_SUCCESS MUBLAS_STATUS_SUCCESS
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// #define CUBLAS_TF32_TENSOR_OP_MATH 0
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#define CUDA_R_16F MUSA_R_16F
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#define CUDA_R_32F MUSA_R_32F
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// #define __shfl_xor_sync(mask, var, laneMask, width) __shfl_xor(var, laneMask, width)
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// #define cublasComputeType_t mublasComputeType_t
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#define cublasCreate mublasCreate
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#define cublasDestroy mublasDestroy
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#define cublasGemmEx mublasGemmEx
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#define cublasGemmBatchedEx mublasGemmBatchedEx
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#define cublasGemmStridedBatchedEx mublasGemmStridedBatchedEx
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#define cublasHandle_t mublasHandle_t
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// #define cublasSetMathMode(handle, mode) CUBLAS_STATUS_SUCCESS
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#define cublasSetMathMode mublasSetMathMode
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#define cublasSetStream mublasSetStream
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#define cublasSgemm mublasSgemm
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#define cublasStatus_t mublasStatus_t
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#define cudaDataType_t musaDataType_t //deprecated, new hipblasDatatype not in 5.6
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#define cudaDeviceCanAccessPeer musaDeviceCanAccessPeer
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#define cudaDeviceDisablePeerAccess musaDeviceDisablePeerAccess
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#define cudaDeviceEnablePeerAccess musaDeviceEnablePeerAccess
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#define cudaDeviceProp musaDeviceProp
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#define cudaDeviceSynchronize musaDeviceSynchronize
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#define cudaError_t musaError_t
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#define cudaErrorPeerAccessAlreadyEnabled musaErrorPeerAccessAlreadyEnabled
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#define cudaErrorPeerAccessNotEnabled musaErrorPeerAccessNotEnabled
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#define cudaEventCreateWithFlags musaEventCreateWithFlags
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#define cudaEventDisableTiming musaEventDisableTiming
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#define cudaEventRecord musaEventRecord
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#define cudaEventSynchronize musaEventSynchronize
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#define cudaEvent_t musaEvent_t
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#define cudaEventDestroy musaEventDestroy
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#define cudaFree musaFree
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#define cudaFreeHost musaFreeHost
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#define cudaGetDevice musaGetDevice
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#define cudaGetDeviceCount musaGetDeviceCount
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#define cudaGetDeviceProperties musaGetDeviceProperties
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#define cudaGetErrorString musaGetErrorString
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#define cudaGetLastError musaGetLastError
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#define cudaHostRegister musaHostRegister
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#define cudaHostRegisterPortable musaHostRegisterPortable
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#define cudaHostRegisterReadOnly musaHostRegisterReadOnly
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#define cudaHostUnregister musaHostUnregister
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#define cudaLaunchHostFunc musaLaunchHostFunc
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#define cudaMalloc musaMalloc
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#define cudaMallocHost musaMallocHost
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#define cudaMemcpy musaMemcpy
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#define cudaMemcpyAsync musaMemcpyAsync
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#define cudaMemcpyPeerAsync musaMemcpyPeerAsync
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#define cudaMemcpy2DAsync musaMemcpy2DAsync
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#define cudaMemcpyDeviceToDevice musaMemcpyDeviceToDevice
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#define cudaMemcpyDeviceToHost musaMemcpyDeviceToHost
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#define cudaMemcpyHostToDevice musaMemcpyHostToDevice
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#define cudaMemcpyKind musaMemcpyKind
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#define cudaMemset musaMemset
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#define cudaMemsetAsync musaMemsetAsync
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||||
#define cudaMemGetInfo musaMemGetInfo
|
||||
#define cudaOccupancyMaxPotentialBlockSize musaOccupancyMaxPotentialBlockSize
|
||||
#define cudaSetDevice musaSetDevice
|
||||
#define cudaStreamCreateWithFlags musaStreamCreateWithFlags
|
||||
#define cudaStreamDestroy musaStreamDestroy
|
||||
#define cudaStreamFireAndForget musaStreamFireAndForget
|
||||
#define cudaStreamNonBlocking musaStreamNonBlocking
|
||||
#define cudaStreamPerThread musaStreamPerThread
|
||||
#define cudaStreamSynchronize musaStreamSynchronize
|
||||
#define cudaStreamWaitEvent musaStreamWaitEvent
|
||||
#define cudaStream_t musaStream_t
|
||||
#define cudaSuccess musaSuccess
|
||||
|
||||
// XXX: Other CUDA => MUSA mapping
|
||||
#define CU_MEM_ACCESS_FLAGS_PROT_READWRITE MU_MEM_ACCESS_FLAGS_PROT_READWRITE
|
||||
#define CU_MEM_ALLOC_GRANULARITY_RECOMMENDED MU_MEM_ALLOC_GRANULARITY_RECOMMENDED
|
||||
#define CU_MEM_ALLOCATION_TYPE_PINNED MU_MEM_ALLOCATION_TYPE_PINNED
|
||||
#define CU_MEM_LOCATION_TYPE_DEVICE MU_MEM_LOCATION_TYPE_DEVICE
|
||||
#define CUdevice MUdevice
|
||||
#define CUdeviceptr MUdeviceptr
|
||||
#define CUmemAccessDesc MUmemAccessDesc
|
||||
#define CUmemAllocationProp MUmemAllocationProp
|
||||
#define CUmemGenericAllocationHandle MUmemGenericAllocationHandle
|
||||
#define cuDeviceGet muDeviceGet
|
||||
#define cuDeviceGetAttribute muDeviceGetAttribute
|
||||
#define cuMemAddressFree muMemAddressFree
|
||||
#define cuMemAddressReserve muMemAddressReserve
|
||||
#define cuMemCreate muMemCreate
|
||||
#define cuMemGetAllocationGranularity muMemGetAllocationGranularity
|
||||
#define cuMemMap muMemMap
|
||||
#define cuMemRelease muMemRelease
|
||||
#define cuMemSetAccess muMemSetAccess
|
||||
#define cuMemUnmap muMemUnmap
|
||||
#define cudaFuncAttributeMaxDynamicSharedMemorySize musaFuncAttributeMaxDynamicSharedMemorySize
|
||||
#define cudaFuncSetAttribute musaFuncSetAttribute
|
||||
#define cudaMemcpy3DPeerParms musaMemcpy3DPeerParms
|
||||
#define make_cudaExtent make_musaExtent
|
||||
#define make_cudaPitchedPtr make_musaPitchedPtr
|
||||
|
||||
// XXX: USE_CUDA_GRAPH
|
||||
#define CUDA_SUCCESS MUSA_SUCCESS
|
||||
#define CUresult MUresult
|
||||
#define cuGetErrorString muGetErrorString
|
||||
#define cudaErrorGraphExecUpdateFailure musaErrorGraphExecUpdateFailure
|
||||
#define cudaErrorInvalidDeviceFunction musaErrorInvalidDeviceFunction
|
||||
#define cudaGraphDestroy musaGraphDestroy
|
||||
#define cudaGraphExecDestroy musaGraphExecDestroy
|
||||
#define cudaGraphExec_t musaGraphExec_t
|
||||
#define cudaGraphExecUpdate musaGraphExecUpdate
|
||||
#define cudaGraphExecUpdateResultInfo musaGraphExecUpdateResult
|
||||
#define cudaGraphGetNodes musaGraphGetNodes
|
||||
#define cudaGraphInstantiate musaGraphInstantiate
|
||||
#define cudaGraphKernelNodeGetParams musaGraphKernelNodeGetParams
|
||||
#define cudaGraphKernelNodeSetParams musaGraphKernelNodeSetParams
|
||||
#define cudaGraphLaunch musaGraphLaunch
|
||||
#define cudaGraphNodeGetType musaGraphNodeGetType
|
||||
#define cudaGraphNode_t musaGraphNode_t
|
||||
#define cudaGraphNodeType musaGraphNodeType
|
||||
#define cudaGraphNodeTypeKernel musaGraphNodeTypeKernel
|
||||
#define cudaGraph_t musaGraph_t
|
||||
#define cudaKernelNodeParams musaKernelNodeParams
|
||||
#define cudaStreamCaptureModeRelaxed musaStreamCaptureModeRelaxed
|
||||
#define cudaStreamEndCapture musaStreamEndCapture
|
||||
|
||||
// XXX: cuBLAS => muBLAS mapping
|
||||
#define CU_DEVICE_ATTRIBUTE_VIRTUAL_MEMORY_MANAGEMENT_SUPPORTED MU_DEVICE_ATTRIBUTE_VIRTUAL_ADDRESS_MANAGEMENT_SUPPORTED
|
||||
#define CUBLAS_TF32_TENSOR_OP_MATH MUBLAS_MATH_MODE_DEFAULT
|
||||
#define CUBLAS_COMPUTE_16F CUDA_R_16F
|
||||
#define CUBLAS_COMPUTE_32F CUDA_R_32F
|
||||
#define cublasComputeType_t cudaDataType_t
|
||||
|
||||
// XXX: Clang builtins mapping
|
||||
#define __vsub4 __vsub4_musa
|
||||
#define __vcmpeq4 __vcmpeq4_musa
|
||||
#define __vcmpne4 __vcmpne4_musa
|
||||
#else
|
||||
#include <cuda_runtime.h>
|
||||
#include <cuda.h>
|
||||
@ -168,9 +316,13 @@ void ggml_cuda_error(const char * stmt, const char * func, const char * file, in
|
||||
|
||||
#define CUDA_CHECK(err) CUDA_CHECK_GEN(err, cudaSuccess, cudaGetErrorString)
|
||||
|
||||
#if CUDART_VERSION >= 12000
|
||||
#if CUDART_VERSION >= 12000 || defined(GGML_USE_MUSA)
|
||||
static const char * cublas_get_error_str(const cublasStatus_t err) {
|
||||
#ifndef GGML_USE_MUSA
|
||||
return cublasGetStatusString(err);
|
||||
#else
|
||||
return mublasStatus_to_string(err);
|
||||
#endif // GGML_USE_MUSA
|
||||
}
|
||||
#else
|
||||
static const char * cublas_get_error_str(const cublasStatus_t err) {
|
||||
@ -200,7 +352,7 @@ static const char * cu_get_error_str(CUresult err) {
|
||||
#define CU_CHECK(err) CUDA_CHECK_GEN(err, CUDA_SUCCESS, cu_get_error_str)
|
||||
#endif
|
||||
|
||||
#if CUDART_VERSION >= 11100
|
||||
#if CUDART_VERSION >= 11100 || defined(GGML_USE_MUSA)
|
||||
#define GGML_CUDA_ASSUME(x) __builtin_assume(x)
|
||||
#else
|
||||
#define GGML_CUDA_ASSUME(x)
|
||||
@ -214,6 +366,42 @@ typedef float dfloat; // dequantize float
|
||||
typedef float2 dfloat2;
|
||||
#endif //GGML_CUDA_F16
|
||||
|
||||
#if defined(GGML_USE_MUSA)
|
||||
#ifndef __has_builtin
|
||||
#define __has_builtin(x) 0
|
||||
#endif
|
||||
|
||||
typedef uint8_t uint8x4_t __attribute__((ext_vector_type(4)));
|
||||
|
||||
static __device__ __forceinline__ int __vsub4_musa(const int a, const int b) {
|
||||
return __vsubss4(a, b);
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int __vcmpeq4_musa(unsigned int a, unsigned int b) {
|
||||
const uint8x4_t& va = reinterpret_cast<const uint8x4_t&>(a);
|
||||
const uint8x4_t& vb = reinterpret_cast<const uint8x4_t&>(b);
|
||||
unsigned int c;
|
||||
uint8x4_t& vc = reinterpret_cast<uint8x4_t&>(c);
|
||||
#pragma unroll
|
||||
for (int i = 0; i < 4; ++i) {
|
||||
vc[i] = va[i] == vb[i] ? 0xff : 0x00;
|
||||
}
|
||||
return c;
|
||||
}
|
||||
|
||||
static __device__ __forceinline__ unsigned int __vcmpne4_musa(unsigned int a, unsigned int b) {
|
||||
const uint8x4_t& va = reinterpret_cast<const uint8x4_t&>(a);
|
||||
const uint8x4_t& vb = reinterpret_cast<const uint8x4_t&>(b);
|
||||
unsigned int c;
|
||||
uint8x4_t& vc = reinterpret_cast<uint8x4_t&>(c);
|
||||
#pragma unroll
|
||||
for (int i = 0; i < 4; ++i) {
|
||||
vc[i] = va[i] == vb[i] ? 0x00 : 0xff;
|
||||
}
|
||||
return c;
|
||||
}
|
||||
#endif // defined(GGML_USE_MUSA)
|
||||
|
||||
#if defined(GGML_USE_HIPBLAS)
|
||||
#define __CUDA_ARCH__ 1300
|
||||
|
||||
@ -455,7 +643,7 @@ static __device__ __forceinline__ uint32_t __hgt2_mask(const half2 a, const half
|
||||
const uint32_t mask_high = 0xFFFF0000 * (float(__high2half(a)) > float(__high2half(b)));
|
||||
return mask_low | mask_high;
|
||||
}
|
||||
#endif // CUDART_VERSION < 12000
|
||||
#endif // CUDART_VERSION < CUDART_HMASK
|
||||
|
||||
static __device__ __forceinline__ int ggml_cuda_dp4a(const int a, const int b, int c) {
|
||||
#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
|
||||
|
Loading…
Reference in New Issue
Block a user