// SPDX-License-Identifier: MIT // Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved. #include #include #include #include #include #include "profiler/include/profile_batched_gemm_impl.hpp" enum struct GemmMatrixLayout { MK_KN_MN, // 0 MK_NK_MN, // 1 KM_KN_MN, // 2 KM_NK_MN, // 3 }; enum struct GemmDataType { F32_F32_F32, // 0 F16_F16_F16, // 1 BF16_BF16_BF16, // 2 INT8_INT8_INT8, // 3 }; int profile_batched_gemm(int argc, char* argv[]) { if(argc != 15) { printf("arg1: tensor operation (batched_gemm: Batched GEMM)\n"); printf("arg2: data type (0: fp32; 1: fp16, 2: bf16, 3: int8)\n"); printf("arg3: matrix layout (0: A[g, m, k] * B[g, k, n] = C[g, m, n];\n"); printf(" 1: A[g, m, k] * B[g, n, k] = C[g, m, n];\n"); printf(" 2: A[g, k, m] * B[g, k, n] = C[g, m, n];\n"); printf(" 3: A[g, k, m] * B[g, n, k] = C[g, m, n])\n"); printf("arg4: verification (0: no; 1: yes)\n"); printf("arg5: initialization (0: no init; 1: integer value; 2: decimal value)\n"); printf("arg6: print tensor value (0: no; 1: yes)\n"); printf("arg7: time kernel (0=n0, 1=yes)\n"); printf("arg8 to 14: M, N, K, StrideA, StrideB, StrideC, BatchCount\n"); exit(1); } const auto data_type = static_cast(std::stoi(argv[2])); const auto layout = static_cast(std::stoi(argv[3])); const bool do_verification = std::stoi(argv[4]); const int init_method = std::stoi(argv[5]); const bool do_log = std::stoi(argv[6]); const bool time_kernel = std::stoi(argv[7]); const int M = std::stoi(argv[8]); const int N = std::stoi(argv[9]); const int K = std::stoi(argv[10]); const int StrideA = std::stoi(argv[11]); const int StrideB = std::stoi(argv[12]); const int StrideC = std::stoi(argv[13]); const int BatchCount = std::stoi(argv[14]); using F32 = float; using F16 = ck::half_t; using BF16 = ck::bhalf_t; using INT8 = int8_t; using Row = ck::tensor_layout::gemm::RowMajor; using Col = ck::tensor_layout::gemm::ColumnMajor; auto profile = [&](auto a_type, auto b_type, auto c_type, auto a_layout, auto b_layout, auto c_layout) { using ADataType = decltype(a_type); using BDataType = decltype(b_type); using CDataType = decltype(c_type); using ALayout = decltype(a_layout); using BLayout = decltype(b_layout); using CLayout = decltype(c_layout); const int DefaultStrideA = ck::is_same_v ? K : M; const int DefaultStrideB = ck::is_same_v ? N : K; const int DefaultStrideC = ck::is_same_v ? N : M; bool pass = ck::profiler:: profile_batched_gemm_impl( do_verification, init_method, do_log, time_kernel, M, N, K, (StrideA < 0) ? DefaultStrideA : StrideA, (StrideB < 0) ? DefaultStrideB : StrideB, (StrideC < 0) ? DefaultStrideC : StrideC, BatchCount); return pass ? 0 : 1; }; if(data_type == GemmDataType::F32_F32_F32 && layout == GemmMatrixLayout::MK_KN_MN) { return profile(F32{}, F32{}, F32{}, Row{}, Row{}, Row{}); } else if(data_type == GemmDataType::F32_F32_F32 && layout == GemmMatrixLayout::MK_NK_MN) { return profile(F32{}, F32{}, F32{}, Row{}, Col{}, Row{}); } else if(data_type == GemmDataType::F32_F32_F32 && layout == GemmMatrixLayout::KM_KN_MN) { return profile(F32{}, F32{}, F32{}, Col{}, Row{}, Row{}); } else if(data_type == GemmDataType::F32_F32_F32 && layout == GemmMatrixLayout::KM_NK_MN) { return profile(F32{}, F32{}, F32{}, Col{}, Col{}, Row{}); } else if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::MK_KN_MN) { return profile(F16{}, F16{}, F16{}, Row{}, Row{}, Row{}); } else if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::MK_NK_MN) { return profile(F16{}, F16{}, F16{}, Row{}, Col{}, Row{}); } else if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::KM_KN_MN) { return profile(F16{}, F16{}, F16{}, Col{}, Row{}, Row{}); } else if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::KM_NK_MN) { return profile(F16{}, F16{}, F16{}, Col{}, Col{}, Row{}); } else if(data_type == GemmDataType::BF16_BF16_BF16 && layout == GemmMatrixLayout::MK_KN_MN) { return profile(BF16{}, BF16{}, BF16{}, Row{}, Row{}, Row{}); } else if(data_type == GemmDataType::BF16_BF16_BF16 && layout == GemmMatrixLayout::MK_NK_MN) { return profile(BF16{}, BF16{}, BF16{}, Row{}, Col{}, Row{}); } else if(data_type == GemmDataType::BF16_BF16_BF16 && layout == GemmMatrixLayout::KM_KN_MN) { return profile(BF16{}, BF16{}, BF16{}, Col{}, Row{}, Row{}); } else if(data_type == GemmDataType::BF16_BF16_BF16 && layout == GemmMatrixLayout::KM_NK_MN) { return profile(BF16{}, BF16{}, BF16{}, Col{}, Col{}, Row{}); } else if(data_type == GemmDataType::INT8_INT8_INT8 && layout == GemmMatrixLayout::MK_KN_MN) { return profile(INT8{}, INT8{}, INT8{}, Row{}, Row{}, Row{}); } else if(data_type == GemmDataType::INT8_INT8_INT8 && layout == GemmMatrixLayout::MK_NK_MN) { return profile(INT8{}, INT8{}, INT8{}, Row{}, Col{}, Row{}); } else if(data_type == GemmDataType::INT8_INT8_INT8 && layout == GemmMatrixLayout::KM_KN_MN) { return profile(INT8{}, INT8{}, INT8{}, Col{}, Row{}, Row{}); } else if(data_type == GemmDataType::INT8_INT8_INT8 && layout == GemmMatrixLayout::KM_NK_MN) { return profile(INT8{}, INT8{}, INT8{}, Col{}, Col{}, Row{}); } else { std::cout << "this data_type & layout is not implemented" << std::endl; return 1; } }