# 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. ############################################################################### # Source files ############################################################################### set(SOURCES common.cu common_device.cu cpp_api.cu cutlass_mlp.cu encoding.cu loss.cu network.cu object.cu optimizer.cu reduce_sum.cu ) if (MIN_GPU_ARCH GREATER_EQUAL 70) list(APPEND SOURCES fully_fused_mlp.cu) endif() ############################################################################### # Linker / library ############################################################################### add_library(tiny-cuda-nn STATIC ${SOURCES}) target_link_libraries(tiny-cuda-nn PUBLIC ${CUDA_LIBRARIES} cuda cublas) target_compile_options(tiny-cuda-nn PRIVATE $<$:${CUDA_NVCC_FLAGS}>)