derek.holloway
7502bf64a4
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463 lines
20 KiB
C++
463 lines
20 KiB
C++
/* ************************************************************************
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* Copyright (C) 2016-2023 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell cop-
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* ies of the Software, and to permit persons to whom the Software is furnished
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* to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IM-
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* PLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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* FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
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* COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
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* IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNE-
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* CTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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*
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* ************************************************************************ */
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#include "gemm_tuners.hpp"
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/* COMMON */
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template <typename Tc>
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GEMMTunerBase<Tc>::GEMMTunerBase(const Arguments& arg)
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: m_handle(arg)
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, m_device(arg.devices)
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, m_cold_iters(arg.cold_iters)
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, m_iters(arg.iters)
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, m_trans_A(char2rocblas_operation(arg.transA))
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, m_trans_B(char2rocblas_operation(arg.transB))
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, m_input_type(arg.a_type)
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, m_output_type(arg.c_type)
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, m_compute_type(arg.compute_type)
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, m_alpha(arg.get_alpha<Tc>())
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, m_beta(arg.get_beta<Tc>())
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, m_M(arg.M)
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, m_N(arg.N)
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, m_K(arg.K)
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, m_lda(arg.lda)
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, m_ldb(arg.ldb)
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, m_ldc(arg.ldc)
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{
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// adjust dimension for GEMM routines
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int K_clip = std::max(m_K, 1);
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m_A_row = (m_trans_A == rocblas_operation_none) ? m_M : K_clip;
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m_A_col = (m_trans_A == rocblas_operation_none) ? K_clip : m_M;
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m_B_row = (m_trans_B == rocblas_operation_none) ? K_clip : m_N;
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m_B_col = (m_trans_B == rocblas_operation_none) ? m_N : K_clip;
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if(m_lda < m_A_row)
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{
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rocblas_cout << "rocblas-gemm-tune INFO: lda < min_lda, set lda = " << m_A_row << std::endl;
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m_lda = m_A_row;
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}
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if(m_ldb < m_B_row)
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{
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rocblas_cout << "rocblas-gemm-tune INFO: ldb < min_ldb, set ldb = " << m_B_row << std::endl;
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m_ldb = m_B_row;
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}
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if(m_ldc < m_M)
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{
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rocblas_cout << "rocblas-gemm-tune INFO: ldc < min_ldc, set ldc = " << m_M << std::endl;
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m_ldc = m_M;
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}
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}
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template <typename Tc>
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int GEMMTunerBase<Tc>::get_best_solution()
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{
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CHECK_HIP_ERROR(hipSetDevice(m_device));
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// Get all solutions
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rocblas_int n_solutions;
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CHECK_ROCBLAS_ERROR(get_solutions(NULL, &n_solutions));
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std::vector<rocblas_int> solutions(n_solutions);
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CHECK_ROCBLAS_ERROR(get_solutions(solutions.data(), &n_solutions));
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// Benchmark each and return best
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double best_time = std::numeric_limits<double>::max();
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rocblas_int best_sol = -1;
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rocblas_status status;
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for(auto sol : solutions)
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{
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// warmup
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for(rocblas_int c = 0; c < m_cold_iters; ++c)
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{
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CHECK_ROCBLAS_ERROR(run_with_solution(sol));
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}
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hipStream_t stream;
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CHECK_ROCBLAS_ERROR(rocblas_get_stream(m_handle, &stream));
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double time = get_time_us_sync(stream); // in microseconds
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// timing loop
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for(rocblas_int c = 0; c < m_iters; ++c)
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{
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CHECK_ROCBLAS_ERROR(run_with_solution(sol));
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}
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time = get_time_us_sync(stream) - time;
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// track winner
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double avg_time = m_iters ? (time / m_iters) : 0;
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if(avg_time < best_time)
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{
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best_sol = sol;
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best_time = avg_time;
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}
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}
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return best_sol;
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}
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/* GEMM Ex */
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template <typename Ti, typename To, typename Tc>
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GEMMTunerEx<Ti, To, Tc>::GEMMTunerEx(const Arguments& arg)
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: GEMMTunerBase<Tc>(arg)
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, m_dA(this->m_A_row, this->m_A_col, this->m_lda)
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, m_dB(this->m_B_row, this->m_B_col, this->m_ldb)
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, m_dC(this->m_M, this->m_N, this->m_ldc)
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{
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// Check device memory allocation
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CHECK_DEVICE_ALLOCATION(m_dA.memcheck());
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CHECK_DEVICE_ALLOCATION(m_dB.memcheck());
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CHECK_DEVICE_ALLOCATION(m_dC.memcheck());
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// Allocate host memory
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host_matrix<Ti> hA(this->m_A_row, this->m_A_col, this->m_lda);
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host_matrix<Ti> hB(this->m_B_row, this->m_B_col, this->m_ldb);
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host_matrix<To> hC(this->m_M, this->m_N, this->m_ldc);
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// Check host memory allocation
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CHECK_HIP_ERROR(hA.memcheck());
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CHECK_HIP_ERROR(hB.memcheck());
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CHECK_HIP_ERROR(hC.memcheck());
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// Initialize data on host memory
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// We don't care about the result, but the GEMM input data affects the benchmarks
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rocblas_init_matrix<Ti>(
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hA, arg, rocblas_client_alpha_sets_nan, rocblas_client_general_matrix, true);
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rocblas_init_matrix<Ti>(
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hB, arg, rocblas_client_alpha_sets_nan, rocblas_client_general_matrix, false, true);
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rocblas_init_matrix<To>(hC, arg, rocblas_client_beta_sets_nan, rocblas_client_general_matrix);
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// copy data from CPU to device
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CHECK_HIP_ERROR(m_dA.transfer_from(hA));
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CHECK_HIP_ERROR(m_dB.transfer_from(hB));
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CHECK_HIP_ERROR(m_dC.transfer_from(hC));
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}
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template <typename Ti, typename To, typename Tc>
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rocblas_status GEMMTunerEx<Ti, To, Tc>::get_solutions(rocblas_int* solution_list, rocblas_int* size)
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{
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return rocblas_gemm_ex_get_solutions(this->m_handle,
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this->m_trans_A,
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this->m_trans_B,
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this->m_M,
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this->m_N,
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this->m_K,
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&this->m_alpha,
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m_dA,
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this->m_input_type,
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this->m_lda,
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m_dB,
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this->m_input_type,
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this->m_ldb,
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&this->m_beta,
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m_dC,
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this->m_output_type,
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this->m_ldc,
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m_dC,
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this->m_output_type,
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this->m_ldc,
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this->m_compute_type,
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rocblas_gemm_algo_solution_index,
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rocblas_gemm_flags_none,
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solution_list,
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size);
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}
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template <typename Ti, typename To, typename Tc>
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rocblas_status GEMMTunerEx<Ti, To, Tc>::run_with_solution(int solution_idx)
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{
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return rocblas_gemm_ex(this->m_handle,
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this->m_trans_A,
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this->m_trans_B,
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this->m_M,
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this->m_N,
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this->m_K,
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&this->m_alpha,
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m_dA,
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this->m_input_type,
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this->m_lda,
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m_dB,
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this->m_input_type,
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this->m_ldb,
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&this->m_beta,
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m_dC,
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this->m_output_type,
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this->m_ldc,
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m_dC,
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this->m_output_type,
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this->m_ldc,
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this->m_compute_type,
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rocblas_gemm_algo_solution_index,
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solution_idx,
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rocblas_gemm_flags_none);
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}
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/* GEMM Batched Ex */
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template <typename Ti, typename To, typename Tc>
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GEMMTunerBatchedEx<Ti, To, Tc>::GEMMTunerBatchedEx(const Arguments& arg)
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: GEMMTunerBase<Tc>(arg)
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, m_batch_count(arg.batch_count)
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, m_dA(this->m_A_row, this->m_A_col, this->m_lda, m_batch_count)
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, m_dB(this->m_B_row, this->m_B_col, this->m_ldb, m_batch_count)
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, m_dC(this->m_M, this->m_N, this->m_ldc, m_batch_count)
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{
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// Check device memory allocation
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CHECK_DEVICE_ALLOCATION(m_dA.memcheck());
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CHECK_DEVICE_ALLOCATION(m_dB.memcheck());
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CHECK_DEVICE_ALLOCATION(m_dC.memcheck());
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// Allocate host memory
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host_batch_matrix<Ti> hA(this->m_A_row, this->m_A_col, this->m_lda, m_batch_count);
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host_batch_matrix<Ti> hB(this->m_B_row, this->m_B_col, this->m_ldb, m_batch_count);
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host_batch_matrix<To> hC(this->m_M, this->m_N, this->m_ldc, m_batch_count);
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// Check host memory allocation
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CHECK_HIP_ERROR(hA.memcheck());
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CHECK_HIP_ERROR(hB.memcheck());
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CHECK_HIP_ERROR(hC.memcheck());
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// Initialize data on host memory
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rocblas_init_matrix<Ti>(
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hA, arg, rocblas_client_alpha_sets_nan, rocblas_client_general_matrix, true);
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rocblas_init_matrix<Ti>(
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hB, arg, rocblas_client_alpha_sets_nan, rocblas_client_general_matrix, false, true);
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rocblas_init_matrix<To>(hC, arg, rocblas_client_beta_sets_nan, rocblas_client_general_matrix);
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// copy data from CPU to device
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CHECK_HIP_ERROR(m_dA.transfer_from(hA));
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CHECK_HIP_ERROR(m_dB.transfer_from(hB));
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CHECK_HIP_ERROR(m_dC.transfer_from(hC));
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}
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template <typename Ti, typename To, typename Tc>
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rocblas_status GEMMTunerBatchedEx<Ti, To, Tc>::get_solutions(rocblas_int* solution_list,
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rocblas_int* size)
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{
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return rocblas_gemm_batched_ex_get_solutions(this->m_handle,
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this->m_trans_A,
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this->m_trans_B,
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this->m_M,
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this->m_N,
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this->m_K,
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&this->m_alpha,
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m_dA.ptr_on_device(),
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this->m_input_type,
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this->m_lda,
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m_dB.ptr_on_device(),
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this->m_input_type,
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this->m_ldb,
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&this->m_beta,
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m_dC.ptr_on_device(),
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this->m_output_type,
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this->m_ldc,
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m_dC.ptr_on_device(),
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this->m_output_type,
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this->m_ldc,
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m_batch_count,
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this->m_compute_type,
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rocblas_gemm_algo_solution_index,
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rocblas_gemm_flags_none,
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solution_list,
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size);
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}
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template <typename Ti, typename To, typename Tc>
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rocblas_status GEMMTunerBatchedEx<Ti, To, Tc>::run_with_solution(int solution_idx)
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{
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return rocblas_gemm_batched_ex(this->m_handle,
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this->m_trans_A,
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this->m_trans_B,
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this->m_M,
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this->m_N,
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this->m_K,
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&this->m_alpha,
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m_dA.ptr_on_device(),
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this->m_input_type,
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this->m_lda,
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m_dB.ptr_on_device(),
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this->m_input_type,
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this->m_ldb,
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&this->m_beta,
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m_dC.ptr_on_device(),
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this->m_output_type,
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this->m_ldc,
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m_dC.ptr_on_device(),
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this->m_output_type,
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this->m_ldc,
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m_batch_count,
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this->m_compute_type,
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rocblas_gemm_algo_solution_index,
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solution_idx,
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rocblas_gemm_flags_none);
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}
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/* GEMM Strided Batched Ex */
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template <typename Tc>
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GEMMTunerStridedBase<Tc>::GEMMTunerStridedBase(const Arguments& arg)
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: GEMMTunerBase<Tc>(arg)
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, m_stride_a(arg.stride_a)
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, m_stride_b(arg.stride_b)
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, m_stride_c(arg.stride_c)
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{
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// adjust stride
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rocblas_int min_stride_c = this->m_ldc * this->m_N;
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if(m_stride_c < min_stride_c)
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{
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rocblas_cout << "rocblas-gemm-tune INFO: stride_c < min_stride_c, set stride_c = "
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<< min_stride_c << std::endl;
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m_stride_c = min_stride_c;
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}
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}
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template <typename Ti, typename To, typename Tc>
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GEMMTunerStridedBatchedEx<Ti, To, Tc>::GEMMTunerStridedBatchedEx(const Arguments& arg)
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: GEMMTunerStridedBase<Tc>(arg)
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, m_batch_count(arg.batch_count)
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, m_dA(this->m_A_row, this->m_A_col, this->m_lda, this->m_stride_a, m_batch_count)
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, m_dB(this->m_B_row, this->m_B_col, this->m_ldb, this->m_stride_b, m_batch_count)
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, m_dC(this->m_M, this->m_N, this->m_ldc, this->m_stride_c, m_batch_count)
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{
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// Check device memory allocation
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CHECK_DEVICE_ALLOCATION(m_dA.memcheck());
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CHECK_DEVICE_ALLOCATION(m_dB.memcheck());
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CHECK_DEVICE_ALLOCATION(m_dC.memcheck());
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// Allocate host memory
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host_strided_batch_matrix<Ti> hA(
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this->m_A_row, this->m_A_col, this->m_lda, this->m_stride_a, m_batch_count);
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host_strided_batch_matrix<Ti> hB(
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this->m_B_row, this->m_B_col, this->m_ldb, this->m_stride_b, m_batch_count);
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host_strided_batch_matrix<To> hC(
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this->m_M, this->m_N, this->m_ldc, this->m_stride_c, m_batch_count);
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// Check host memory allocation
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CHECK_HIP_ERROR(hA.memcheck());
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CHECK_HIP_ERROR(hB.memcheck());
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CHECK_HIP_ERROR(hC.memcheck());
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// Initialize data on host memory
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rocblas_init_matrix<Ti>(
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hA, arg, rocblas_client_alpha_sets_nan, rocblas_client_general_matrix, true);
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rocblas_init_matrix<Ti>(
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hB, arg, rocblas_client_alpha_sets_nan, rocblas_client_general_matrix, false, true);
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rocblas_init_matrix<To>(hC, arg, rocblas_client_beta_sets_nan, rocblas_client_general_matrix);
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// Copy data from CPU to device
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CHECK_HIP_ERROR(m_dA.transfer_from(hA));
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CHECK_HIP_ERROR(m_dB.transfer_from(hB));
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CHECK_HIP_ERROR(m_dC.transfer_from(hC));
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}
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template <typename Ti, typename To, typename Tc>
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rocblas_status GEMMTunerStridedBatchedEx<Ti, To, Tc>::get_solutions(rocblas_int* solution_list,
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rocblas_int* size)
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{
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return rocblas_gemm_strided_batched_ex_get_solutions(this->m_handle,
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this->m_trans_A,
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this->m_trans_B,
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this->m_M,
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this->m_N,
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this->m_K,
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&this->m_alpha,
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m_dA,
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this->m_input_type,
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this->m_lda,
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this->m_stride_a,
|
|
m_dB,
|
|
this->m_input_type,
|
|
this->m_ldb,
|
|
this->m_stride_b,
|
|
&this->m_beta,
|
|
m_dC,
|
|
this->m_output_type,
|
|
this->m_ldc,
|
|
this->m_stride_c,
|
|
m_dC,
|
|
this->m_output_type,
|
|
this->m_ldc,
|
|
this->m_stride_c,
|
|
m_batch_count,
|
|
this->m_compute_type,
|
|
rocblas_gemm_algo_solution_index,
|
|
rocblas_gemm_flags_none,
|
|
solution_list,
|
|
size);
|
|
}
|
|
|
|
template <typename Ti, typename To, typename Tc>
|
|
rocblas_status GEMMTunerStridedBatchedEx<Ti, To, Tc>::run_with_solution(int solution_idx)
|
|
{
|
|
return rocblas_gemm_strided_batched_ex(this->m_handle,
|
|
this->m_trans_A,
|
|
this->m_trans_B,
|
|
this->m_M,
|
|
this->m_N,
|
|
this->m_K,
|
|
&this->m_alpha,
|
|
m_dA,
|
|
this->m_input_type,
|
|
this->m_lda,
|
|
this->m_stride_a,
|
|
m_dB,
|
|
this->m_input_type,
|
|
this->m_ldb,
|
|
this->m_stride_b,
|
|
&this->m_beta,
|
|
m_dC,
|
|
this->m_output_type,
|
|
this->m_ldc,
|
|
this->m_stride_c,
|
|
m_dC,
|
|
this->m_output_type,
|
|
this->m_ldc,
|
|
this->m_stride_c,
|
|
m_batch_count,
|
|
this->m_compute_type,
|
|
rocblas_gemm_algo_solution_index,
|
|
solution_idx,
|
|
rocblas_gemm_flags_none);
|
|
}
|
|
|
|
#define TEMPLATE_CLASS_SINGLE(C) \
|
|
template class C<int32_t>; \
|
|
template class C<rocblas_half>; \
|
|
template class C<rocblas_bfloat16>; \
|
|
template class C<float>; \
|
|
template class C<double>; \
|
|
template class C<rocblas_float_complex>; \
|
|
template class C<rocblas_double_complex>;
|
|
|
|
#define TEMPLATE_CLASS_MULTI(C) \
|
|
template class C<int8_t, int32_t, int32_t>; \
|
|
template class C<rocblas_half, float, float>; \
|
|
template class C<rocblas_bfloat16, float, float>; \
|
|
template class C<rocblas_half, rocblas_half, float>; \
|
|
template class C<rocblas_bfloat16, rocblas_bfloat16, float>;
|
|
|
|
TEMPLATE_CLASS_SINGLE(GEMMTunerBase);
|
|
TEMPLATE_CLASS_SINGLE(GEMMTunerEx);
|
|
TEMPLATE_CLASS_SINGLE(GEMMTunerBatchedEx);
|
|
TEMPLATE_CLASS_SINGLE(GEMMTunerStridedBase);
|
|
TEMPLATE_CLASS_SINGLE(GEMMTunerStridedBatchedEx);
|
|
|
|
TEMPLATE_CLASS_MULTI(GEMMTunerEx);
|
|
TEMPLATE_CLASS_MULTI(GEMMTunerBatchedEx);
|
|
TEMPLATE_CLASS_MULTI(GEMMTunerStridedBatchedEx);
|