fb335f6a5f
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.
68 lines
2.4 KiB
CMake
68 lines
2.4 KiB
CMake
# 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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set(CUTLASS_EXAMPLES_COMMON_SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/common)
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function(cutlass_example_add_executable)
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set(options)
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set(oneValueArgs)
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set(multiValueArgs)
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cmake_parse_arguments(_ "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
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cutlass_add_executable(${__UNPARSED_ARGUMENTS})
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list(GET __UNPARSED_ARGUMENTS 0 NAME)
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target_link_libraries(
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${NAME}
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PRIVATE
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CUTLASS
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cutlass_tools_util_includes
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)
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target_include_directories(
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${NAME}
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PRIVATE
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${CUTLASS_EXAMPLES_COMMON_SOURCE_DIR}
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)
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endfunction()
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add_custom_target(cutlass_examples)
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foreach(EXAMPLE
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00_basic_gemm
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01_cutlass_utilities
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02_dump_reg_shmem
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03_visualize_layout
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04_tile_iterator
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05_batched_gemm
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06_splitK_gemm
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07_volta_tensorop_gemm
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08_turing_tensorop_gemm)
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add_subdirectory(${EXAMPLE})
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add_dependencies(cutlass_examples ${EXAMPLE})
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endforeach()
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