CMakeLists.txt

# Copyright (c) 2022-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# See LICENSE for license information.

cmake_minimum_required(VERSION 3.21)

# Language options
if(NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
  set(CMAKE_CUDA_ARCHITECTURES 70 80 89 90)
endif()
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CUDA_STANDARD 17)
set(CMAKE_CUDA_STANDARD_REQUIRED ON)
if (CMAKE_BUILD_TYPE STREQUAL "Debug")
  set(CMAKE_CUDA_FLAGS_DEBUG "${CMAKE_CUDA_FLAGS_DEBUG} -G")
endif()

# Hide non-necessary symbols in shared object.
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wl,--version-script=${CMAKE_CURRENT_SOURCE_DIR}/libtransformer_engine.version")
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Wl,--version-script=${CMAKE_CURRENT_SOURCE_DIR}/libtransformer_engine.version")

# Transformer Engine library
project(transformer_engine LANGUAGES CUDA CXX)

# CUDA Toolkit
find_package(CUDAToolkit REQUIRED)
if (CUDAToolkit_VERSION VERSION_LESS 12.0)
  message(FATAL_ERROR "CUDA 12.0+ is required, but found CUDA ${CUDAToolkit_VERSION}")
endif()

# cuDNN frontend API
set(CUDNN_FRONTEND_INCLUDE_DIR
    "${CMAKE_SOURCE_DIR}/../../3rdparty/cudnn-frontend/include")
if(NOT EXISTS "${CUDNN_FRONTEND_INCLUDE_DIR}")
    message(FATAL_ERROR
            "Could not find cuDNN frontend API. "
            "Try running 'git submodule update --init --recursive' "
            "within the Transformer Engine source.")
endif()
include(${CMAKE_SOURCE_DIR}/../../3rdparty/cudnn-frontend/cmake/cuDNN.cmake)

# Python
find_package(Python COMPONENTS Interpreter Development.Module REQUIRED)

# Configure Transformer Engine library
include_directories(${PROJECT_SOURCE_DIR}/..)
set(transformer_engine_SOURCES)
list(APPEND transformer_engine_SOURCES
     pycudnn.cpp
     transformer_engine.cpp
     common.cu
     transpose/cast_transpose.cu
     transpose/transpose.cu
     transpose/cast_transpose_fusion.cu
     transpose/transpose_fusion.cu
     transpose/multi_cast_transpose.cu
     activation/gelu.cu
     fused_attn/fused_attn_f16_max512_seqlen.cu
     fused_attn/fused_attn_f16_arbitrary_seqlen.cu
     activation/relu.cu
     activation/swiglu.cu
     fused_attn/fused_attn_fp8.cu
     fused_attn/fused_attn.cpp
     fused_attn/utils.cu
     gemm/cublaslt_gemm.cu
     layer_norm/ln_api.cpp
     layer_norm/ln_bwd_semi_cuda_kernel.cu
     layer_norm/ln_fwd_cuda_kernel.cu
     permutation/permutation.cu
     rmsnorm/rmsnorm_api.cpp
     rmsnorm/rmsnorm_bwd_semi_cuda_kernel.cu
     rmsnorm/rmsnorm_fwd_cuda_kernel.cu
     util/cast.cu
     util/padding.cu
     util/cuda_driver.cpp
     util/cuda_runtime.cpp
     util/rtc.cpp
     util/system.cpp
     fused_softmax/scaled_masked_softmax.cu
     fused_softmax/scaled_upper_triang_masked_softmax.cu
     fused_softmax/scaled_aligned_causal_masked_softmax.cu
     fused_rope/fused_rope.cu
     recipe/delayed_scaling.cu)
add_library(transformer_engine SHARED ${transformer_engine_SOURCES})
target_include_directories(transformer_engine PUBLIC
                           "${CMAKE_CURRENT_SOURCE_DIR}/include")

# Configure dependencies
target_link_libraries(transformer_engine PUBLIC
                      CUDA::cublas
                      CUDA::cudart)
target_include_directories(transformer_engine PRIVATE
                           ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES})
target_include_directories(transformer_engine PRIVATE "${CUDNN_FRONTEND_INCLUDE_DIR}")

# Hack to enable dynamic loading in cuDNN frontend
target_compile_definitions(transformer_engine PUBLIC NV_CUDNN_FRONTEND_USE_DYNAMIC_LOADING)

# Helper functions to make header files with C++ strings
function(make_string_header STRING STRING_NAME)
    configure_file(util/string_header.h.in
                   "string_headers/${STRING_NAME}.h"
                   @ONLY)
endfunction()
function(make_string_header_from_file file_ STRING_NAME)
    file(READ "${file_}" STRING)
    configure_file(util/string_header.h.in
                   "string_headers/${STRING_NAME}.h"
                   @ONLY)
endfunction()

# Header files with C++ strings
list(GET CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES 0 cuda_include_path)
make_string_header("${cuda_include_path}"
                   string_path_cuda_include)
make_string_header_from_file(transpose/rtc/cast_transpose_fusion.cu
                             string_code_transpose_rtc_cast_transpose_fusion_cu)
make_string_header_from_file(transpose/rtc/cast_transpose.cu
                             string_code_transpose_rtc_cast_transpose_cu)
make_string_header_from_file(transpose/rtc/transpose.cu
                             string_code_transpose_rtc_transpose_cu)
make_string_header_from_file(utils.cuh
                             string_code_utils_cuh)
make_string_header_from_file(util/math.h
                             string_code_util_math_h)
target_include_directories(transformer_engine PRIVATE
                           "${CMAKE_CURRENT_BINARY_DIR}/string_headers")

# Compiler options
set_source_files_properties(fused_softmax/scaled_masked_softmax.cu
                            fused_softmax/scaled_upper_triang_masked_softmax.cu
                            fused_softmax/scaled_aligned_causal_masked_softmax.cu
                            PROPERTIES
                            COMPILE_OPTIONS "--use_fast_math")
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --expt-relaxed-constexpr")
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -O3")

# Number of parallel build jobs
if(ENV{MAX_JOBS})
  set(BUILD_JOBS_STR "$ENV{MAX_JOBS}")
elseif(ENV{NVTE_BUILD_MAX_JOBS})
  set(BUILD_JOBS_STR "$ENV{NVTE_BUILD_MAX_JOBS}")
else()
  set(BUILD_JOBS_STR "max")
endif()
message(STATUS "Parallel build jobs: ${BUILD_JOBS_STR}")

# Number of threads per parallel build job
set(BUILD_THREADS_PER_JOB $ENV{NVTE_BUILD_THREADS_PER_JOB})
if (NOT BUILD_THREADS_PER_JOB)
  set(BUILD_THREADS_PER_JOB 1)
endif()
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --threads ${BUILD_THREADS_PER_JOB}")
message(STATUS "Threads per parallel build job: ${BUILD_THREADS_PER_JOB}")

# Install library
install(TARGETS transformer_engine DESTINATION .)