CUTLASS 2.0 (#62)
CUTLASS 2.0 Substantially refactored for - Better performance, particularly for native Turing Tensor Cores - Robust and durable templates spanning the design space - Encapsulated functionality embodying modern C++11 programming techniques - Optimized containers and data types for efficient, generic, portable device code Updates to: - Quick start guide - Documentation - Utilities - CUTLASS Profiler Native Turing Tensor Cores - Efficient GEMM kernels targeting Turing Tensor Cores - Mixed-precision floating point, 8-bit integer, 4-bit integer, and binarized operands Coverage of existing CUTLASS functionality: - GEMM kernels targeting CUDA and Tensor Cores in NVIDIA GPUs - Volta Tensor Cores through native mma.sync and through WMMA API - Optimizations such as parallel reductions, threadblock rasterization, and intra-threadblock reductions - Batched GEMM operations - Complex-valued GEMMs Note: this commit and all that follow require a host compiler supporting C++11 or greater.
This commit is contained in:
Andrew Kerr
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CUDA.cmake
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244
CUDA.cmake
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# Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without modification, are permitted
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# provided that the following conditions are met:
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# * Redistributions of source code must retain the above copyright notice, this list of
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# conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above copyright notice, this list of
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# conditions and the following disclaimer in the documentation and/or other materials
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# provided with the distribution.
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# * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
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# to endorse or promote products derived from this software without specific prior written
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# permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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# IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
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# FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
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# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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# STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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if(CUDA_COMPILER MATCHES "[Cc]lang")
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set(CUTLASS_NATIVE_CUDA_INIT ON)
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elseif(CMAKE_VERSION VERSION_LESS 3.12.4)
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set(CUTLASS_NATIVE_CUDA_INIT OFF)
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else()
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set(CUTLASS_NATIVE_CUDA_INIT ON)
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endif()
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set(CUTLASS_NATIVE_CUDA ${CUTLASS_NATIVE_CUDA_INIT} CACHE BOOL "Utilize the CMake native CUDA flow")
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if(NOT DEFINED ENV{CUDACXX} AND NOT DEFINED ENV{CUDA_BIN_PATH} AND DEFINED ENV{CUDA_PATH})
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# For backward compatibility, allow use of CUDA_PATH.
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set(ENV{CUDACXX} $ENV{CUDA_PATH}/bin/nvcc)
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endif()
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if(CUTLASS_NATIVE_CUDA)
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enable_language(CUDA)
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else()
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find_package(CUDA REQUIRED)
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endif()
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if(NOT CUDA_VERSION)
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set(CUDA_VERSION ${CMAKE_CUDA_COMPILER_VERSION})
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endif()
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if(NOT CUDA_TOOLKIT_ROOT_DIR)
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get_filename_component(CUDA_TOOLKIT_ROOT_DIR "${CMAKE_CUDA_COMPILER}/../.." ABSOLUTE)
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endif()
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if (CUDA_VERSION VERSION_LESS 9.2)
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message(FATAL_ERROR "CUDA 9.2+ Required, Found ${CUDA_VERSION}.")
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endif()
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if(NOT CUTLASS_NATIVE_CUDA OR CUDA_COMPILER MATCHES "[Cc]lang")
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set(CMAKE_CUDA_COMPILER ${CUDA_TOOLKIT_ROOT_DIR}/bin/nvcc)
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message(STATUS "CUDA Compiler: ${CMAKE_CUDA_COMPILER}")
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endif()
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find_library(
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CUDART_LIBRARY cudart
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PATHS
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${CUDA_TOOLKIT_ROOT_DIR}
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PATH_SUFFIXES
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lib/x64
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lib64
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lib
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NO_DEFAULT_PATH
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# We aren't going to search any system paths. We want to find the runtime
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# in the CUDA toolkit we're building against.
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)
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if(CUDART_LIBRARY)
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message(STATUS "CUDART: ${CUDART_LIBRARY}")
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if(WIN32)
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add_library(cudart STATIC IMPORTED GLOBAL)
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# Even though we're linking against a .dll, in Windows you statically link against
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# the .lib file found under lib/x64. The .dll will be loaded at runtime automatically
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# from the PATH search.
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else()
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add_library(cudart SHARED IMPORTED GLOBAL)
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endif()
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add_library(nvidia::cudart ALIAS cudart)
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set_property(
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TARGET cudart
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PROPERTY IMPORTED_LOCATION
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${CUDART_LIBRARY}
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)
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else()
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message(STATUS "CUDART: Not Found")
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endif()
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find_library(
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CUDA_DRIVER_LIBRARY cuda
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PATHS
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${CUDA_TOOLKIT_ROOT_DIR}
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PATH_SUFFIXES
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lib/x64
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lib64
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lib
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lib64/stubs
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lib/stubs
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NO_DEFAULT_PATH
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# We aren't going to search any system paths. We want to find the runtime
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# in the CUDA toolkit we're building against.
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)
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if(CUDA_DRIVER_LIBRARY)
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message(STATUS "CUDA Driver: ${CUDA_DRIVER_LIBRARY}")
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if(WIN32)
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add_library(cuda_driver STATIC IMPORTED GLOBAL)
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# Even though we're linking against a .dll, in Windows you statically link against
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# the .lib file found under lib/x64. The .dll will be loaded at runtime automatically
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# from the PATH search.
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else()
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add_library(cuda_driver SHARED IMPORTED GLOBAL)
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endif()
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add_library(nvidia::cuda_driver ALIAS cuda_driver)
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set_property(
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TARGET cuda_driver
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PROPERTY IMPORTED_LOCATION
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${CUDA_DRIVER_LIBRARY}
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)
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else()
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message(STATUS "CUDA Driver: Not Found")
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endif()
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find_library(
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NVRTC_LIBRARY nvrtc
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PATHS
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${CUDA_TOOLKIT_ROOT_DIR}
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PATH_SUFFIXES
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lib/x64
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lib64
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lib
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NO_DEFAULT_PATH
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# We aren't going to search any system paths. We want to find the runtime
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# in the CUDA toolkit we're building against.
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)
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if(NVRTC_LIBRARY)
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message(STATUS "NVRTC: ${NVRTC_LIBRARY}")
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if(WIN32)
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add_library(nvrtc STATIC IMPORTED GLOBAL)
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# Even though we're linking against a .dll, in Windows you statically link against
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# the .lib file found under lib/x64. The .dll will be loaded at runtime automatically
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# from the PATH search.
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else()
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add_library(nvrtc SHARED IMPORTED GLOBAL)
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endif()
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add_library(nvidia::nvrtc ALIAS nvrtc)
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set_property(
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TARGET nvrtc
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PROPERTY IMPORTED_LOCATION
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${NVRTC_LIBRARY}
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)
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else()
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message(STATUS "NVRTC: Not Found")
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endif()
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include_directories(SYSTEM ${CUDA_INCLUDE_DIRS})
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# Some platforms (e.g. Visual Studio) don't add the CUDA include directories to the system include
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# paths by default, so we add it explicitly here.
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function(cutlass_correct_source_file_language_property)
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if(CUDA_COMPILER MATCHES "clang")
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foreach(File ${ARGN})
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if(${File} MATCHES ".*\.cu$")
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set_source_files_properties(${File} PROPERTIES LANGUAGE CXX)
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endif()
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endforeach()
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endif()
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endfunction()
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function(cutlass_add_library)
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set(options INTERFACE STATIC SHARED OBJECT)
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set(oneValueArgs)
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set(multiValueArgs)
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cmake_parse_arguments(_ "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
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if(CUTLASS_NATIVE_CUDA OR CUDA_COMPILER MATCHES "clang" OR __INTERFACE)
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cutlass_correct_source_file_language_property(${ARGN})
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add_library(${ARGN})
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else()
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set(CUDA_LINK_LIBRARIES_KEYWORD PRIVATE)
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cuda_add_library(${ARGN})
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endif()
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endfunction()
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function(cutlass_add_executable)
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set(options)
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set(oneValueArgs)
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set(multiValueArgs)
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cmake_parse_arguments(_ "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
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if(CUTLASS_NATIVE_CUDA OR CUDA_COMPILER MATCHES "clang")
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cutlass_correct_source_file_language_property(${ARGN})
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add_executable(${ARGN})
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else()
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set(CUDA_LINK_LIBRARIES_KEYWORD PRIVATE)
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cuda_add_executable(${ARGN})
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endif()
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endfunction()
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function(cutlass_target_sources)
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set(options)
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set(oneValueArgs)
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set(multiValueArgs)
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cmake_parse_arguments(_ "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
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cutlass_correct_source_file_language_property(${ARGN})
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target_sources(${ARGN})
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endfunction()
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