/* ************************************************************************ * Copyright (C) 2016-2025 Advanced Micro Devices, Inc. All rights reserved. * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. * * ************************************************************************ */ #include #include #include #include #include "arg_check.h" #include "testing_common.hpp" #include /* ============================================================================================ */ using hipblasGemmBatchedModel = ArgumentModel; inline void testname_gemm_batched(const Arguments& arg, std::string& name) { hipblasGemmBatchedModel{}.test_name(arg, name); } template void testing_gemm_batched_bad_arg(const Arguments& arg) { using Ts = hipblas_internal_type; auto hipblasGemmBatchedFn = arg.api == FORTRAN ? hipblasGemmBatched : hipblasGemmBatched; auto hipblasGemmBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasGemmBatched_64 : hipblasGemmBatched_64; hipblasLocalHandle handle(arg); int64_t M = 101; int64_t N = 100; int64_t K = 102; int64_t lda = 103; int64_t ldb = 104; int64_t ldc = 105; int64_t batch_count = 2; hipblasOperation_t transA = HIPBLAS_OP_N; hipblasOperation_t transB = HIPBLAS_OP_N; int64_t A_row = transA == HIPBLAS_OP_N ? M : std::max(K, int64_t(1)); int64_t A_col = transA == HIPBLAS_OP_N ? std::max(K, int64_t(1)) : M; int64_t B_row = transB == HIPBLAS_OP_N ? std::max(K, int64_t(1)) : N; int64_t B_col = transB == HIPBLAS_OP_N ? N : std::max(K, int64_t(1)); // Allocate device memory device_batch_matrix dA(A_row, A_col, lda, batch_count); device_batch_matrix dB(B_row, B_col, ldb, batch_count); device_batch_matrix dC(M, N, ldc, batch_count); device_vector d_alpha(1), d_beta(1), d_one(1), d_zero(1); Ts h_alpha{1.0f}, h_beta{2.0f}, h_one{1.0f}, h_zero{0.0f}; if constexpr(std::is_same_v) h_one = float_to_half(1.0f); else if constexpr(is_complex) h_one = {1, 0}; const Ts* alpha = &h_alpha; const Ts* beta = &h_beta; const Ts* one = &h_one; const Ts* zero = &h_zero; for(auto pointer_mode : {HIPBLAS_POINTER_MODE_HOST, HIPBLAS_POINTER_MODE_DEVICE}) { CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, pointer_mode)); if(pointer_mode == HIPBLAS_POINTER_MODE_DEVICE) { CHECK_HIP_ERROR(hipMemcpy(d_alpha, alpha, sizeof(*alpha), hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(d_beta, beta, sizeof(*beta), hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(d_one, one, sizeof(*one), hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(d_zero, zero, sizeof(*zero), hipMemcpyHostToDevice)); alpha = d_alpha; beta = d_beta; one = d_one; zero = d_zero; } DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED, hipblasGemmBatchedFn, (nullptr, transA, transB, M, N, K, alpha, dA.ptr_on_device(), lda, dB.ptr_on_device(), ldb, beta, dC.ptr_on_device(), ldc, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_ENUM, hipblasGemmBatchedFn, (handle, (hipblasOperation_t)HIPBLAS_FILL_MODE_FULL, transB, M, N, K, alpha, dA.ptr_on_device(), lda, dB.ptr_on_device(), ldb, beta, dC.ptr_on_device(), ldc, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_ENUM, hipblasGemmBatchedFn, (handle, transA, (hipblasOperation_t)HIPBLAS_FILL_MODE_FULL, M, N, K, alpha, dA.ptr_on_device(), lda, dB.ptr_on_device(), ldb, beta, dC.ptr_on_device(), ldc, batch_count)); if(arg.bad_arg_all) { DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasGemmBatchedFn, (handle, transA, transB, M, N, K, alpha, dA.ptr_on_device(), lda, dB.ptr_on_device(), ldb, nullptr, dC.ptr_on_device(), ldc, batch_count)); if(pointer_mode == HIPBLAS_POINTER_MODE_HOST) { // alpha check only for host mode. rocBLAS can handle this in device mode too but shouldn't assume in case this changes. DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasGemmBatchedFn, (handle, transA, transB, M, N, K, nullptr, dA.ptr_on_device(), lda, dB.ptr_on_device(), ldb, beta, dC.ptr_on_device(), ldc, batch_count)); // again, rocBLAS can handle this in device mode but shouldn't assume DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasGemmBatchedFn, (handle, transA, transB, M, N, K, alpha, nullptr, lda, dB.ptr_on_device(), ldb, beta, dC.ptr_on_device(), ldc, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasGemmBatchedFn, (handle, transA, transB, M, N, K, alpha, dA.ptr_on_device(), lda, nullptr, ldb, beta, dC.ptr_on_device(), ldc, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasGemmBatchedFn, (handle, transA, transB, M, N, K, alpha, dA.ptr_on_device(), lda, dB.ptr_on_device(), ldb, beta, nullptr, ldc, batch_count)); } // If alpha == 0 && beta == 1, can have A, B, C be nullptr DAPI_CHECK(hipblasGemmBatchedFn, (handle, transA, transB, M, N, K, zero, nullptr, lda, nullptr, ldb, one, nullptr, ldc, batch_count)); // If alpha == 0, A and B can be nullptr DAPI_CHECK(hipblasGemmBatchedFn, (handle, transA, transB, M, N, K, zero, nullptr, lda, nullptr, ldb, beta, dC.ptr_on_device(), ldc, batch_count)); // If K == 0, A, and B can be nullptr DAPI_CHECK(hipblasGemmBatchedFn, (handle, transA, transB, M, N, 0, alpha, nullptr, lda, nullptr, ldb, beta, dC.ptr_on_device(), ldc, batch_count)); // 64-bit interface test DAPI_EXPECT((arg.api & c_API_64) ? HIPBLAS_STATUS_SUCCESS : HIPBLAS_STATUS_INVALID_VALUE, hipblasGemmBatchedFn, (handle, transA, transB, c_i32_overflow, c_i32_overflow, c_i32_overflow, zero, nullptr, c_i32_overflow, nullptr, c_i32_overflow, one, nullptr, c_i32_overflow, c_i32_overflow)); } // If M == 0 || N == 0 || batch_count == 0, can have nullptrs DAPI_CHECK(hipblasGemmBatchedFn, (handle, transA, transB, 0, N, K, nullptr, nullptr, lda, nullptr, ldb, nullptr, nullptr, ldc, batch_count)); DAPI_CHECK(hipblasGemmBatchedFn, (handle, transA, transB, M, 0, K, nullptr, nullptr, lda, nullptr, ldb, nullptr, nullptr, ldc, batch_count)); DAPI_CHECK(hipblasGemmBatchedFn, (handle, transA, transB, M, N, K, nullptr, nullptr, lda, nullptr, ldb, nullptr, nullptr, ldc, 0)); } } template void testing_gemm_batched(const Arguments& arg) { using Ts = hipblas_internal_type; auto hipblasGemmBatchedFn = arg.api == FORTRAN ? hipblasGemmBatched : hipblasGemmBatched; auto hipblasGemmBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasGemmBatched_64 : hipblasGemmBatched_64; hipblasOperation_t transA = char2hipblas_operation(arg.transA); hipblasOperation_t transB = char2hipblas_operation(arg.transB); int64_t M = arg.M; int64_t N = arg.N; int64_t K = arg.K; int64_t lda = arg.lda; int64_t ldb = arg.ldb; int64_t ldc = arg.ldc; int64_t batch_count = arg.batch_count; hipblasLocalHandle handle(arg); T h_alpha = arg.get_alpha(); T h_beta = arg.get_beta(); int64_t A_row = transA == HIPBLAS_OP_N ? M : std::max(K, int64_t(1)); int64_t A_col = transA == HIPBLAS_OP_N ? std::max(K, int64_t(1)) : M; int64_t B_row = transB == HIPBLAS_OP_N ? std::max(K, int64_t(1)) : N; int64_t B_col = transB == HIPBLAS_OP_N ? N : std::max(K, int64_t(1)); // check here to prevent undefined memory allocation error bool invalid_size = M < 0 || N < 0 || K < 0 || batch_count < 0 || lda < A_row || ldb < B_row || ldc < M; if(invalid_size || !M || !N || !batch_count) { DAPI_EXPECT(invalid_size ? HIPBLAS_STATUS_INVALID_VALUE : HIPBLAS_STATUS_SUCCESS, hipblasGemmBatchedFn, (handle, transA, transB, M, N, K, nullptr, nullptr, lda, nullptr, ldb, nullptr, nullptr, ldc, batch_count)); return; } double gpu_time_used{0}, hipblas_error_host{0}, hipblas_error_device{0}; // Naming: `h` is in CPU (host) memory(eg hA), `d` is in GPU (device) memory (eg dA). // Allocate host memory host_batch_matrix hA(A_row, A_col, lda, batch_count); host_batch_matrix hB(B_row, B_col, ldb, batch_count); host_batch_matrix hC_host(M, N, ldc, batch_count); host_batch_matrix hC_device(M, N, ldc, batch_count); host_batch_matrix hC_cpu(M, N, ldc, batch_count); // Check host memory allocation CHECK_HIP_ERROR(hA.memcheck()); CHECK_HIP_ERROR(hB.memcheck()); CHECK_HIP_ERROR(hC_host.memcheck()); CHECK_HIP_ERROR(hC_device.memcheck()); CHECK_HIP_ERROR(hC_cpu.memcheck()); // Allocate device memory device_batch_matrix dA(A_row, A_col, lda, batch_count); device_batch_matrix dB(B_row, B_col, ldb, batch_count); device_batch_matrix dC(M, N, ldc, batch_count); device_vector d_alpha(1); device_vector d_beta(1); // Check device memory allocation CHECK_DEVICE_ALLOCATION(dA.memcheck()); CHECK_DEVICE_ALLOCATION(dB.memcheck()); CHECK_DEVICE_ALLOCATION(dC.memcheck()); CHECK_DEVICE_ALLOCATION(d_alpha.memcheck()); CHECK_DEVICE_ALLOCATION(d_beta.memcheck()); // Initial Data on CPU hipblas_init_matrix(hA, arg, hipblas_client_alpha_sets_nan, hipblas_general_matrix, true); hipblas_init_matrix( hB, arg, hipblas_client_alpha_sets_nan, hipblas_general_matrix, false, true); hipblas_init_matrix(hC_host, arg, hipblas_client_beta_sets_nan, hipblas_general_matrix); // copy vector hC_device.copy_from(hC_host); hC_cpu.copy_from(hC_host); // copy data from CPU to device, does not work for lda != A_row CHECK_HIP_ERROR(dA.transfer_from(hA)); CHECK_HIP_ERROR(dB.transfer_from(hB)); CHECK_HIP_ERROR(dC.transfer_from(hC_host)); CHECK_HIP_ERROR(hipMemcpy(d_alpha, &h_alpha, sizeof(T), hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(d_beta, &h_beta, sizeof(T), hipMemcpyHostToDevice)); if(arg.unit_check || arg.norm_check) { // calculate "golden" result on CPU for(int64_t i = 0; i < batch_count; i++) { ref_gemm(transA, transB, M, N, K, h_alpha, (T*)hA[i], lda, (T*)hB[i], ldb, h_beta, (T*)hC_cpu[i], ldc); } // test hipBLAS batched gemm with alpha and beta pointers on device CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE)); DAPI_CHECK(hipblasGemmBatchedFn, (handle, transA, transB, M, N, K, d_alpha, dA.ptr_on_device(), lda, dB.ptr_on_device(), ldb, d_beta, dC.ptr_on_device(), ldc, batch_count)); CHECK_HIP_ERROR(hC_device.transfer_from(dC)); // test hipBLAS batched gemm with alpha and beta pointers on host CHECK_HIP_ERROR(dC.transfer_from(hC_host)); CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_HOST)); DAPI_CHECK(hipblasGemmBatchedFn, (handle, transA, transB, M, N, K, reinterpret_cast(&h_alpha), dA.ptr_on_device(), lda, dB.ptr_on_device(), ldb, reinterpret_cast(&h_beta), dC.ptr_on_device(), ldc, batch_count)); CHECK_HIP_ERROR(hC_host.transfer_from(dC)); if(arg.unit_check) { if(std::is_same_v && (getArchMajor() == 11)) { const double tol = K * sum_error_tolerance_for_gfx11; near_check_general(M, N, batch_count, ldc, hC_cpu, hC_host, tol); near_check_general(M, N, batch_count, ldc, hC_cpu, hC_device, tol); } else { unit_check_general(M, N, batch_count, ldc, hC_cpu, hC_host); unit_check_general(M, N, batch_count, ldc, hC_cpu, hC_device); } } if(arg.norm_check) { hipblas_error_host = norm_check_general('F', M, N, ldc, hC_cpu, hC_host, batch_count); hipblas_error_device = norm_check_general('F', M, N, ldc, hC_cpu, hC_device, batch_count); } } if(arg.timing) { hipStream_t stream; CHECK_HIPBLAS_ERROR(hipblasGetStream(handle, &stream)); // gemm has better performance in host mode. In rocBLAS in device mode // we need to copy alpha and beta to the host. CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_HOST)); int runs = arg.cold_iters + arg.iters; for(int iter = 0; iter < runs; iter++) { if(iter == arg.cold_iters) gpu_time_used = get_time_us_sync(stream); DAPI_DISPATCH(hipblasGemmBatchedFn, (handle, transA, transB, M, N, K, reinterpret_cast(&h_alpha), dA.ptr_on_device(), lda, dB.ptr_on_device(), ldb, reinterpret_cast(&h_beta), dC.ptr_on_device(), ldc, batch_count)); } gpu_time_used = get_time_us_sync(stream) - gpu_time_used; hipblasGemmBatchedModel{}.log_args(std::cout, arg, gpu_time_used, gemm_gflop_count(M, N, K), gemm_gbyte_count(M, N, K), hipblas_error_host, hipblas_error_device); } }