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CMakeLists.txt
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CMakeLists.txt
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# Copyright (c) 2020-2022, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification, are permitted
# provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright notice, this list of
# conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright notice, this list of
# conditions and the following disclaimer in the documentation and/or other materials
# provided with the distribution.
# * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
# to endorse or promote products derived from this software without specific prior written
# permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
# IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
# FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
# STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
cmake_minimum_required(VERSION 3.18)
project(
tiny-cuda-nn
VERSION 1.6
DESCRIPTION "Lightning fast & tiny C++/CUDA neural network framework"
LANGUAGES CXX CUDA
)
option(TCNN_BUILD_BENCHMARK "Build tiny-cuda-nn example benchmark?" ON)
option(TCNN_BUILD_EXAMPLES "Build tiny-cuda-nn example applications?" ON)
set(TCNN_CUDA_ARCHITECTURES "" CACHE STRING "Build tiny-cuda-nn for a specific GPU architecture.")
###############################################################################
# Build type and C++ compiler setup
###############################################################################
# Set a default configuration if none was specified
if (NOT CMAKE_BUILD_TYPE AND NOT CMAKE_CONFIGURATION_TYPES)
message(STATUS "No release type specified. Setting to 'Release'.")
set(CMAKE_BUILD_TYPE Release CACHE STRING "Choose the type of build." FORCE)
set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS "Debug" "Release" "RelWithDebInfo")
endif()
if (NOT EXISTS "${CMAKE_CURRENT_SOURCE_DIR}/dependencies/cutlass/CMakeLists.txt")
message(FATAL_ERROR
"Some tiny-cuda-nn dependencies are missing. "
"If you forgot the \"--recursive\" flag when cloning this project, "
"this can be fixed by calling \"git submodule update --init --recursive\"."
)
endif()
if (APPLE)
set(CMAKE_MACOSX_RPATH ON)
endif()
if (MSVC)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /D_CRT_SECURE_NO_WARNINGS")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /MP")
endif()
set(CMAKE_CXX_STANDARD 14)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)
###############################################################################
# CUDA compiler setup
###############################################################################
set(CMAKE_CUDA_STANDARD 14)
set(CMAKE_CUDA_STANDARD_REQUIRED ON)
set(CMAKE_CUDA_EXTENSIONS OFF)
set(CUDA_LINK_LIBRARIES_KEYWORD PUBLIC)
get_directory_property(TCNN_HAS_PARENT PARENT_DIRECTORY)
# adapted from https://stackoverflow.com/a/69353718
include(FindCUDA/select_compute_arch)
CUDA_DETECT_INSTALLED_GPUS(INSTALLED_GPU_CCS_1)
string(STRIP "${INSTALLED_GPU_CCS_1}" INSTALLED_GPU_CCS_2)
string(REPLACE " " ";" INSTALLED_GPU_CCS_3 "${INSTALLED_GPU_CCS_2}")
string(REPLACE "." "" CUDA_ARCH_LIST "${INSTALLED_GPU_CCS_3}")
if (DEFINED ENV{TCNN_CUDA_ARCHITECTURES})
message(STATUS "Obtained target architecture from environment variable TCNN_CUDA_ARCHITECTURES=$ENV{TCNN_CUDA_ARCHITECTURES}")
set(CMAKE_CUDA_ARCHITECTURES $ENV{TCNN_CUDA_ARCHITECTURES})
elseif (TCNN_CUDA_ARCHITECTURES)
message(STATUS "Obtained target architecture from CMake variable TCNN_CUDA_ARCHITECTURES=${TCNN_CUDA_ARCHITECTURES}")
set(CMAKE_CUDA_ARCHITECTURES ${TCNN_CUDA_ARCHITECTURES})
else()
set(CMAKE_CUDA_ARCHITECTURES ${CUDA_ARCH_LIST})
endif()
# Remove unsupported architectures
list(FILTER CMAKE_CUDA_ARCHITECTURES EXCLUDE REGEX "PTX")
list(REMOVE_DUPLICATES CMAKE_CUDA_ARCHITECTURES)
# If the CUDA version does not permit targeting Ampere, don't do so.
if ((80 IN_LIST CMAKE_CUDA_ARCHITECTURES OR 86 IN_LIST CMAKE_CUDA_ARCHITECTURES) AND CUDA_VERSION VERSION_LESS 11.0)
message(WARNING "CUDA version ${CUDA_VERSION} is too low for targeting Ampere GPUs. Reverting to compute capability 75.")
list(REMOVE_ITEM CMAKE_CUDA_ARCHITECTURES 80 86)
if (NOT CMAKE_CUDA_ARCHITECTURES)
list(APPEND CMAKE_CUDA_ARCHITECTURES 75)
endif()
endif()
# Sort the list to obtain lowest architecture that must be compiled for.
list(SORT CMAKE_CUDA_ARCHITECTURES COMPARE NATURAL ORDER ASCENDING)
list(GET CMAKE_CUDA_ARCHITECTURES 0 MIN_GPU_ARCH)
string(REPLACE "-virtual" "" MIN_GPU_ARCH "${MIN_GPU_ARCH}")
message(STATUS "Targeting GPU architectures: ${CMAKE_CUDA_ARCHITECTURES}")
if (TCNN_HAS_PARENT)
set(TCNN_CUDA_ARCHITECTURES ${CMAKE_CUDA_ARCHITECTURES} PARENT_SCOPE)
set(TCNN_CUDA_VERSION ${CUDA_VERSION} PARENT_SCOPE)
endif()
if (MIN_GPU_ARCH LESS_EQUAL 70)
message(WARNING
"Fully fused MLPs do not support GPU architectures of 70 or less. "
"Falling back to CUTLASS MLPs. Remove GPU architectures 70 and lower "
"to allow maximum performance"
)
endif()
if (CUDA_VERSION VERSION_LESS 10.2)
message(FATAL_ERROR "CUDA version too low. tiny-cuda-nn require CUDA 10.2 or higher.")
endif()
list(APPEND TCNN_DEFINITIONS -DTCNN_MIN_GPU_ARCH=${MIN_GPU_ARCH})
if (CUDA_VERSION VERSION_GREATER_EQUAL 11.0)
# Only compile the shampoo optimizer if
# a new enough cuBLAS version is available.
list(APPEND TCNN_DEFINITIONS -DTCNN_SHAMPOO)
endif()
if (TCNN_HAS_PARENT)
set(TCNN_DEFINITIONS ${TCNN_DEFINITIONS} PARENT_SCOPE)
endif()
if (MSVC)
else()
list(APPEND CUDA_NVCC_FLAGS "-Xcompiler=-mf16c")
list(APPEND CUDA_NVCC_FLAGS "-Xcompiler=-Wno-float-conversion")
list(APPEND CUDA_NVCC_FLAGS "-Xcompiler=-fno-strict-aliasing")
list(APPEND CUDA_NVCC_FLAGS "-Xcudafe=--diag_suppress=unrecognized_gcc_pragma")
endif()
list(APPEND CUDA_NVCC_FLAGS "--extended-lambda")
list(APPEND CUDA_NVCC_FLAGS "--expt-relaxed-constexpr")
###############################################################################
# Dependencies
###############################################################################
if (MSVC)
else()
set(CUDA_TOOLKIT_ROOT_DIR /opt/cuda/targets/x86_64-linux)
endif()
find_library(
CUDA_CUBLASLT_LIBRARY cublasLt
${CUDA_TOOLKIT_ROOT_DIR}/lib64
${CUDA_TOOLKIT_ROOT_DIR}/lib
)
set(BUILD_SHARED_LIBS OFF)
add_subdirectory("dependencies/fmt")
###############################################################################
# tiny-cuda-nn library, samples, and benchmarks
###############################################################################
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY_RELEASE ${CMAKE_BINARY_DIR})
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY_RELWITHDEBINFO ${CMAKE_BINARY_DIR})
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY_MINSIZEREL ${CMAKE_BINARY_DIR})
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY_DEBUG ${CMAKE_BINARY_DIR})
set(TCNN_SOURCES
src/common.cu
src/common_device.cu
src/cpp_api.cu
src/cutlass_mlp.cu
src/encoding.cu
src/loss.cu
src/network.cu
src/object.cu
src/optimizer.cu
src/reduce_sum.cu
)
if (MIN_GPU_ARCH GREATER 70)
list(APPEND TCNN_SOURCES src/fully_fused_mlp.cu)
endif()
###############################################################################
# Linker / library
###############################################################################
add_library(tiny-cuda-nn STATIC ${TCNN_SOURCES})
target_compile_definitions(tiny-cuda-nn PUBLIC ${TCNN_DEFINITIONS})
target_compile_options(tiny-cuda-nn PUBLIC $<$<COMPILE_LANGUAGE:CUDA>:${CUDA_NVCC_FLAGS}>)
target_include_directories(tiny-cuda-nn PUBLIC
"include"
"dependencies"
"dependencies/cutlass/include"
"dependencies/cutlass/tools/util/include"
"dependencies/fmt/include"
)
target_link_libraries(tiny-cuda-nn PUBLIC ${CUDA_LIBRARIES} cuda cublas fmt)
if (TCNN_BUILD_EXAMPLES)
add_subdirectory("samples")
endif()
if (TCNN_BUILD_BENCHMARK)
add_subdirectory("benchmarks/image")
endif()