// SPDX-License-Identifier: MIT // Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved. #include "common.hpp" #include "ck/tensor_operation/gpu/device/impl/device_gemm_wmma.hpp" using ADataType = ck::half_t; using BDataType = ck::half_t; using AccDataType = float; using CShuffleDataType = float; using CDataType = ck::half_t; using ALayout = Row; using BLayout = Col; using CLayout = Row; using AElementOp = PassThrough; using BElementOp = PassThrough; using CElementOp = PassThrough; static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::MNKPadding; // clang-format off using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemmWmma_CShuffle < ALayout, BLayout, CLayout, ADataType, BDataType, CDataType, AccDataType, CShuffleDataType, AElementOp, BElementOp, CElementOp, GemmDefault, 256, // BlockSize 128, // MPerBlock 128, // NPerBlock 32, // KPerBlock 8, // K1 16, // MPerWmma 16, // NPerWmma 1, // M-Repeat // M-PerWmma / M-Repeat = M-Wave 8, // N-Repeat // N-PerWmma / N-Repeat = N-Wave S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, 1, // C shuffle (M Repeat) Per store 4, // C shuffle (N Repeat) Per store S<1, 32, 1, 8>, 8>; // clang-format on using ReferenceGemmInstance = ck::tensor_operation::host:: ReferenceGemm; #include "run_gemm_example.inc" int main(int argc, char* argv[]) { return !run_gemm_example(argc, argv); }