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Reorganize project folders (#6)
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Joseph Macaranas
184
profiler/src/profile_gemm_ab_scale.cpp
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184
profiler/src/profile_gemm_ab_scale.cpp
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
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#include <iostream>
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#include <numeric>
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#include <initializer_list>
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#include <cstdlib>
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#include "profiler/profile_gemm_ab_scale_impl.hpp"
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#include "profiler_operation_registry.hpp"
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enum struct GemmMatrixLayout
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{
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MK_KN_MN, // 0
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MK_NK_MN, // 1
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KM_KN_MN, // 2
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KM_NK_MN, // 3
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};
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enum struct GemmDataType
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{
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F32_F32_F32, // 0
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F16_F16_F16, // 1
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BF16_BF16_BF16, // 2
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INT8_INT8_INT8, // 3
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F8_F16_F16, // 4
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F16_F8_F16, // 5
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F16_F16_F16_F8, // 6
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F8_F8_BF16, // 7
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};
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enum struct ScaleBlockTile
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{
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Tile_128_128_128, // 0
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Tile_1_128_128, // 1
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};
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#define OP_NAME "gemm_ab_scale"
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#define OP_DESC "GEMM_AB_Scale"
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int profile_gemm_ab_scale(int argc, char* argv[])
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{
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if(argc != 15 && argc != 18)
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{
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printf("arg1: tensor operation (" OP_NAME ": " OP_DESC ")\n");
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printf("arg2: data type (0: fp32; 1: fp16; 2: bf16; 3: int8; 4: f8@f16; 5: f16@f8; 6: "
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"f16->f8; 7: f8->bf16, "
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"comp f8)\n");
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printf("arg3: matrix layout (0: A[m, k] * B[k, n] = C[m, n];\n");
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printf(" 1: A[m, k] * B[n, k] = C[m, n];\n");
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printf(" 2: A[k, m] * B[k, n] = C[m, n];\n");
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printf(" 3: A[k, m] * B[n, k] = C[m, n])\n");
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printf("arg4: scale block tile (0: ScaleBlockM/N/K = [128, 128, 128]; 1: ScaleBlockM/N/K = "
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"[1, 128, 128];\n");
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printf("arg5: verification (0: no; 1: yes)\n");
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printf("arg6: initialization (0: no init; 1: integer value; 2: decimal value)\n");
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printf("arg7: print tensor value (0: no; 1: yes)\n");
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printf("arg8: time kernel (0=no, 1=yes)\n");
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printf("arg9 to 14: M, N, K, StrideA, StrideB, StrideE\n");
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printf("optional:\n");
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printf("arg15: number of warm-up cycles (default 1)\n");
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printf("arg16: number of iterations (default 10)\n");
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printf("arg17: memory for rotating buffer (default 0, size in MB)\n");
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exit(1);
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}
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const auto data_type = static_cast<GemmDataType>(std::stoi(argv[2]));
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const auto layout = static_cast<GemmMatrixLayout>(std::stoi(argv[3]));
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const auto scale_block_tile = static_cast<ScaleBlockTile>(std::stoi(argv[4]));
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const bool do_verification = std::stoi(argv[5]);
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const int init_method = std::stoi(argv[6]);
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const bool do_log = std::stoi(argv[7]);
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const bool time_kernel = std::stoi(argv[8]);
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const int M = std::stoi(argv[9]);
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const int N = std::stoi(argv[10]);
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const int K = std::stoi(argv[11]);
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const int StrideA = std::stoi(argv[12]);
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const int StrideB = std::stoi(argv[13]);
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const int StrideE = std::stoi(argv[14]);
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int n_warmup = 1;
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int n_iter = 10;
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uint64_t rotating = 0;
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if(argc == 18)
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{
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n_warmup = std::stoi(argv[15]);
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n_iter = std::stoi(argv[16]);
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rotating = std::stoull(argv[17]) * 1024 * 1024;
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}
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using F32 = float;
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using BF16 = ck::bhalf_t;
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using F8 = ck::f8_t;
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using Row = ck::tensor_layout::gemm::RowMajor;
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using Col = ck::tensor_layout::gemm::ColumnMajor;
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auto profile = [&](auto a0_type,
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auto a1_type,
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auto b0_type,
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auto b1_type,
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auto comp_type,
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auto acc_type,
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auto c_type,
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auto scale_block_m,
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auto scale_block_n,
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auto scale_block_k,
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auto a_layout,
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auto b_layout,
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auto e_layout) {
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using A0DataType = decltype(a0_type);
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using A1DataType = decltype(a1_type);
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using B0DataType = decltype(b0_type);
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using B1DataType = decltype(b1_type);
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using ComputeDataType = decltype(comp_type);
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using AccDataType = decltype(acc_type);
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using EDataType = decltype(c_type);
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using ALayout = decltype(a_layout);
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using BLayout = decltype(b_layout);
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using ELayout = decltype(e_layout);
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const int DefaultStrideA = ck::is_same_v<ALayout, Row> ? K : M;
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const int DefaultStrideB = ck::is_same_v<BLayout, Row> ? N : K;
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const int DefaultStrideE = ck::is_same_v<ELayout, Row> ? N : M;
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bool pass = ck::profiler::profile_gemm_ab_scale_impl<A0DataType,
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A1DataType,
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B0DataType,
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B1DataType,
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ComputeDataType,
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AccDataType,
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EDataType,
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scale_block_m,
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scale_block_n,
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scale_block_k,
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ALayout,
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BLayout,
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ELayout>(
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do_verification,
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init_method,
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do_log,
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time_kernel,
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M,
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N,
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K,
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(StrideA < 0) ? DefaultStrideA : StrideA,
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(StrideB < 0) ? DefaultStrideB : StrideB,
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(StrideE < 0) ? DefaultStrideE : StrideE,
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n_warmup,
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n_iter,
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rotating);
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return pass ? 0 : 1;
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};
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if(data_type == GemmDataType::F8_F8_BF16 && layout == GemmMatrixLayout::MK_NK_MN &&
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scale_block_tile == ScaleBlockTile::Tile_1_128_128)
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{
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return profile(F8{},
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F32{},
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F8{},
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F32{},
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F8{},
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F32{},
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BF16{},
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ck::Number<1>{},
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ck::Number<128>{},
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ck::Number<128>{},
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Row{},
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Col{},
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Row{});
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}
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else
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{
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std::cout << "this data_type & layout is not implemented" << std::endl;
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return 1;
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}
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}
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REGISTER_PROFILER_OPERATION(OP_NAME, OP_DESC, profile_gemm_ab_scale);
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