VTimeLLM/flash-attention/csrc/cutlass/tools/profiler/CMakeLists.txt

# Copyright (c) 2017 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: BSD-3-Clause
#
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# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
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# 2. 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.
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# 3. Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
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# 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 THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

find_package(Python3 3.5 COMPONENTS Interpreter REQUIRED)

#
# Sources for CUTLASS Profiler Tool
#
cmake_policy(SET CMP0112 NEW)
set(CUTLASS_TOOLS_PROFILER_SOURCES
  src/main.cpp
  src/cutlass_profiler.cu
  src/options.cu
  src/performance_report.cpp
  src/enumerated_types.cpp
  src/gpu_timer.cpp
  src/device_allocation.cu
  src/device_context.cu
  src/cublas_helpers.cu             
  src/cudnn_helpers.cpp                   
  src/problem_space.cpp
  src/operation_profiler.cu
  src/gemm_operation_profiler.cu
  src/grouped_gemm_operation_profiler.cu
  src/block_scaled_gemm_operation_profiler.cu
  src/blockwise_gemm_operation_profiler.cu
  src/rank_k_operation_profiler.cu
  src/rank_2k_operation_profiler.cu
  src/trmm_operation_profiler.cu
  src/symm_operation_profiler.cu
  src/conv2d_operation_profiler.cu          
  src/conv3d_operation_profiler.cu          
  src/sparse_gemm_operation_profiler.cu
)

#
# Build target
#

cutlass_add_executable(
  cutlass_profiler
  ${CUTLASS_TOOLS_PROFILER_SOURCES}
)
add_executable(nvidia::cutlass::profiler ALIAS cutlass_profiler)
set_target_properties(cutlass_profiler PROPERTIES EXPORT_NAME profiler)

#
# Include paths
#

target_include_directories(
  cutlass_profiler
  PRIVATE
  ${CMAKE_CURRENT_LIST_DIR}/include
  )

#
# Library dependencies
#

target_link_libraries(
  cutlass_profiler
  PRIVATE 
  cutlass_lib
  cutlass_tools_util_includes
  $<$<BOOL:${CUTLASS_ENABLE_CUBLAS}>:nvidia::cublas>
  $<$<BOOL:${CUTLASS_ENABLE_CUDNN}>:nvidia::cudnn>
  cudart
  cuda_driver
  )

install(
  TARGETS cutlass_profiler
  EXPORT NvidiaCutlass
  RUNTIME DESTINATION ${CMAKE_INSTALL_BINDIR}
  )

if (CUDA_VERSION VERSION_GREATER_EQUAL 12.3 AND CUDA_VERSION VERSION_LESS 12.4 AND (90a IN_LIST CUTLASS_NVCC_ARCHS_ENABLED OR (90 IN_LIST CUTLASS_NVCC_ARCHS_ENABLED)))
  set(CUTLASS_PROFILER_TEST_COMMAND_OPTIONS_GEMM   --operation=Gemm       --providers=cutlass --verification-providers=cublas,host      --junit-output=test_cutlass_profiler_gemm    --print-kernel-before-running=true)
else()
    set(CUTLASS_PROFILER_TEST_COMMAND_OPTIONS_GEMM   --operation=Gemm       --providers=cutlass --verification-providers=cublas,device      --junit-output=test_cutlass_profiler_gemm    --print-kernel-before-running=true)
    set(CUTLASS_PROFILER_TEST_COMMAND_OPTIONS_GEMM   --operation=BlockScaledGemm --providers=cutlass --verification-providers=cublas,device      --junit-output=test_cutlass_profiler_gemm    --print-kernel-before-running=true)
endif()

set(CUTLASS_PROFILER_TEST_COMMAND_OPTIONS_CONV2D --operation=Conv2d     --providers=cutlass --verification-providers=cudnn,device       --junit-output=test_cutlass_profiler_conv2d  --print-kernel-before-running=true)
set(CUTLASS_PROFILER_TEST_COMMAND_OPTIONS_CONV3D --operation=Conv3d     --providers=cutlass --verification-providers=cudnn,device,host  --junit-output=test_cutlass_profiler_conv3d  --print-kernel-before-running=true)
set(CUTLASS_PROFILER_TEST_COMMAND_OPTIONS_SPGEMM --operation=SparseGemm --providers=cutlass --verification-providers=cublas,device,host --junit-output=test_cutlass_profiler_spgemm  --print-kernel-before-running=true)
set(CUTLASS_PROFILER_TEST_COMMAND_OPTIONS_RANK_K   --operation=RankK       --providers=cutlass --verification-providers=cublas        --junit-output=test_cutlass_profiler_rank_k    --print-kernel-before-running=true)
set(CUTLASS_PROFILER_TEST_COMMAND_OPTIONS_RANK_2K   --operation=Rank2K       --providers=cutlass --verification-providers=cublas        --junit-output=test_cutlass_profiler_rank_2k --print-kernel-before-running=true)
set(CUTLASS_PROFILER_TEST_COMMAND_OPTIONS_TRMM   --operation=Trmm       --providers=cutlass --verification-providers=device,host        --junit-output=test_cutlass_profiler_trmm    --print-kernel-before-running=true)
set(CUTLASS_PROFILER_TEST_COMMAND_OPTIONS_SYMM   --operation=Symm       --providers=cutlass --verification-providers=cublas,host        --junit-output=test_cutlass_profiler_symm    --print-kernel-before-running=true)
set(CUTLASS_PROFILER_TEST_COMMAND_OPTIONS_GROUPED_GEMM --operation=GroupedGemm --providers=cutlass --verification-providers=device --junit-output=test_cutlass_profiler_grouped_gemm --print-kernel-before-running=true)

cutlass_add_executable_tests(
  test_profiler cutlass_profiler
  DEPENDEES test_all
  TEST_COMMAND_OPTIONS
    GEMM
    CONV2D
    CONV3D
    SPGEMM
    RANK_K
    RANK_2K
    TRMM
    SYMM
    GROUPED_GEMM
  TEST_COMMAND_OPTIONS_PREFIX
    CUTLASS_PROFILER_TEST_COMMAND_OPTIONS_
  DISABLE_EXECUTABLE_INSTALL_RULE
  )