derek.holloway
7502bf64a4
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480 lines
22 KiB
C++
480 lines
22 KiB
C++
/* ************************************************************************
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* Copyright (C) 2022-2025 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
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* copies of the Software, and to permit persons to whom the Software is
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* furnished 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
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* all 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
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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*
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* ************************************************************************ */
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#include "testing.hpp"
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#include <tuple>
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template <typename I, typename A, typename B, typename C, typename T>
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void testing_spmm_batched_coo_bad_arg(const Arguments& arg)
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{
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static const size_t safe_size = 100;
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// Create rocsparse handle
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rocsparse_local_handle local_handle;
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rocsparse_handle handle = local_handle;
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I m = safe_size;
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I n = safe_size;
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I k = safe_size;
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int64_t nnz = safe_size;
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void* coo_val = (void*)0x4;
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void* coo_row_ind = (void*)0x4;
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void* coo_col_ind = (void*)0x4;
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void* dense_B = (void*)0x4;
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void* dense_C = (void*)0x4;
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size_t* buffer_size = (size_t*)0x4;
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void* temp_buffer = (void*)0x4;
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rocsparse_operation trans_A = rocsparse_operation_none;
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rocsparse_operation trans_B = rocsparse_operation_none;
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rocsparse_index_base base = rocsparse_index_base_zero;
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rocsparse_order order_B = rocsparse_order_column;
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rocsparse_order order_C = rocsparse_order_column;
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rocsparse_spmm_alg alg = rocsparse_spmm_alg_default;
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rocsparse_spmm_stage stage = rocsparse_spmm_stage_compute;
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rocsparse_indextype itype = get_indextype<I>();
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rocsparse_datatype atype = get_datatype<A>();
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rocsparse_datatype btype = get_datatype<B>();
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rocsparse_datatype ctype = get_datatype<C>();
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rocsparse_datatype ttype = get_datatype<T>();
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T alpha = static_cast<T>(1.0);
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T beta = static_cast<T>(0.0);
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// SpMM structures
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rocsparse_local_spmat local_mat_A(
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m, k, nnz, coo_row_ind, coo_col_ind, coo_val, itype, base, atype);
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rocsparse_local_dnmat local_mat_B(k, n, k, dense_B, btype, order_B);
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rocsparse_local_dnmat local_mat_C(m, n, m, dense_C, ctype, order_C);
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rocsparse_spmat_descr mat_A = local_mat_A;
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rocsparse_dnmat_descr mat_B = local_mat_B;
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rocsparse_dnmat_descr mat_C = local_mat_C;
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#define PARAMS \
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handle, trans_A, trans_B, &alpha, mat_A, mat_B, &beta, mat_C, ttype, alg, stage, buffer_size, \
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temp_buffer
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rocsparse_int batch_count_A;
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rocsparse_int batch_count_B;
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rocsparse_int batch_count_C;
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int64_t batch_stride_A;
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int64_t batch_stride_B;
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int64_t batch_stride_C;
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// C_i = A * B_i
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batch_count_A = 1;
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batch_count_B = 10;
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batch_count_C = 5;
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batch_stride_A = 0;
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batch_stride_B = k * n;
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batch_stride_C = m * n;
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EXPECT_ROCSPARSE_STATUS(rocsparse_coo_set_strided_batch(mat_A, batch_count_A, batch_stride_A),
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rocsparse_status_success);
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EXPECT_ROCSPARSE_STATUS(rocsparse_dnmat_set_strided_batch(mat_B, batch_count_B, batch_stride_B),
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rocsparse_status_success);
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EXPECT_ROCSPARSE_STATUS(rocsparse_dnmat_set_strided_batch(mat_C, batch_count_C, batch_stride_C),
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rocsparse_status_success);
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EXPECT_ROCSPARSE_STATUS(rocsparse_spmm(PARAMS), rocsparse_status_invalid_value);
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// C_i = A_i * B
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batch_count_A = 10;
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batch_count_B = 1;
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batch_count_C = 5;
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batch_stride_A = nnz;
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batch_stride_B = 0;
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batch_stride_C = m * n;
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EXPECT_ROCSPARSE_STATUS(rocsparse_coo_set_strided_batch(mat_A, batch_count_A, batch_stride_A),
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rocsparse_status_success);
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EXPECT_ROCSPARSE_STATUS(rocsparse_dnmat_set_strided_batch(mat_B, batch_count_B, batch_stride_B),
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rocsparse_status_success);
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EXPECT_ROCSPARSE_STATUS(rocsparse_dnmat_set_strided_batch(mat_C, batch_count_C, batch_stride_C),
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rocsparse_status_success);
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EXPECT_ROCSPARSE_STATUS(rocsparse_spmm(PARAMS), rocsparse_status_invalid_value);
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// C_i = A_i * B_i
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batch_count_A = 10;
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batch_count_B = 10;
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batch_count_C = 5;
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batch_stride_A = nnz;
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batch_stride_B = k * n;
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batch_stride_C = m * n;
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EXPECT_ROCSPARSE_STATUS(rocsparse_coo_set_strided_batch(mat_A, batch_count_A, batch_stride_A),
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rocsparse_status_success);
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EXPECT_ROCSPARSE_STATUS(rocsparse_dnmat_set_strided_batch(mat_B, batch_count_B, batch_stride_B),
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rocsparse_status_success);
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EXPECT_ROCSPARSE_STATUS(rocsparse_dnmat_set_strided_batch(mat_C, batch_count_C, batch_stride_C),
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rocsparse_status_success);
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EXPECT_ROCSPARSE_STATUS(rocsparse_spmm(PARAMS), rocsparse_status_invalid_value);
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#undef PARAMS
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}
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template <typename I, typename A, typename B, typename C, typename T>
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void testing_spmm_batched_coo(const Arguments& arg)
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{
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I M = arg.M;
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I N = arg.N;
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I K = arg.K;
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rocsparse_operation trans_A = arg.transA;
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rocsparse_operation trans_B = arg.transB;
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rocsparse_index_base base = arg.baseA;
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rocsparse_spmm_alg alg = arg.spmm_alg;
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rocsparse_order order_B = arg.orderB;
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rocsparse_order order_C = arg.orderC;
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rocsparse_int ld_multiplier_B = arg.ld_multiplier_B;
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rocsparse_int ld_multiplier_C = arg.ld_multiplier_C;
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I batch_count_A = arg.batch_count_A;
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I batch_count_B = arg.batch_count_B;
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I batch_count_C = arg.batch_count_C;
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T halpha = arg.get_alpha<T>();
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T hbeta = arg.get_beta<T>();
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// Index and data type
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rocsparse_indextype itype = get_indextype<I>();
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rocsparse_datatype atype = get_datatype<A>();
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rocsparse_datatype btype = get_datatype<B>();
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rocsparse_datatype ctype = get_datatype<C>();
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rocsparse_datatype ttype = get_datatype<T>();
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// Create rocsparse handle
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rocsparse_local_handle handle(arg);
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bool Ci_A_Bi = (batch_count_A == 1 && batch_count_B == batch_count_C);
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bool Ci_Ai_B = (batch_count_B == 1 && batch_count_A == batch_count_C);
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bool Ci_Ai_Bi = (batch_count_A == batch_count_C && batch_count_A == batch_count_B);
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if(!Ci_A_Bi && !Ci_Ai_B && !Ci_Ai_Bi)
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{
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return;
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}
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// Allocate host memory for matrix
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rocsparse_matrix_factory<A, I, I> matrix_factory(arg);
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// Allocate host memory for matrix
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host_vector<I> hcoo_row_ind_temp;
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host_vector<I> hcoo_col_ind_temp;
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host_vector<A> hcoo_val_temp;
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int64_t nnz_A;
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matrix_factory.init_coo(hcoo_row_ind_temp,
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hcoo_col_ind_temp,
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hcoo_val_temp,
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(trans_A == rocsparse_operation_none) ? M : K,
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(trans_A == rocsparse_operation_none) ? K : M,
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nnz_A,
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base);
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// Redefine values
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rocsparse_init_1d_array<A>(
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hcoo_val_temp, nnz_A, arg.convert_to_int, arg.rand_gen_min, arg.rand_gen_max);
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// Some matrix properties
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I A_m = (trans_A == rocsparse_operation_none) ? M : K;
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I A_n = (trans_A == rocsparse_operation_none) ? K : M;
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I B_m = (trans_B == rocsparse_operation_none) ? K : N;
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I B_n = (trans_B == rocsparse_operation_none) ? N : K;
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I C_m = M;
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I C_n = N;
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int64_t ldb = (order_B == rocsparse_order_column)
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? ((trans_B == rocsparse_operation_none) ? (int64_t(ld_multiplier_B) * K)
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: (int64_t(ld_multiplier_B) * N))
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: ((trans_B == rocsparse_operation_none) ? (int64_t(ld_multiplier_B) * N)
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: (int64_t(ld_multiplier_B) * K));
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int64_t ldc = (order_C == rocsparse_order_column) ? (int64_t(ld_multiplier_C) * M)
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: (int64_t(ld_multiplier_C) * N);
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int64_t nrowB = (order_B == rocsparse_order_column) ? ldb : B_m;
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int64_t ncolB = (order_B == rocsparse_order_column) ? B_n : ldb;
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int64_t nrowC = (order_C == rocsparse_order_column) ? ldc : C_m;
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int64_t ncolC = (order_C == rocsparse_order_column) ? C_n : ldc;
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int64_t nnz_B = nrowB * ncolB;
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int64_t nnz_C = nrowC * ncolC;
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int64_t batch_stride_A = (batch_count_A > 1) ? nnz_A : 0;
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int64_t batch_stride_B = (batch_count_B > 1) ? nnz_B : 0;
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int64_t batch_stride_C = (batch_count_C > 1) ? nnz_C : 0;
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// Allocate host memory for all batches of A matrix
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host_dense_vector<I> hcoo_row_ind(batch_count_A * nnz_A);
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host_dense_vector<I> hcoo_col_ind(batch_count_A * nnz_A);
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host_dense_vector<A> hcoo_val(batch_count_A * nnz_A);
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for(I i = 0; i < batch_count_A; i++)
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{
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for(int64_t j = 0; j < nnz_A; j++)
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{
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hcoo_row_ind[nnz_A * i + j] = hcoo_row_ind_temp[j];
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hcoo_col_ind[nnz_A * i + j] = hcoo_col_ind_temp[j];
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hcoo_val[nnz_A * i + j] = hcoo_val_temp[j];
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}
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}
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// Allocate host memory for vectors
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host_vector<B> hB(batch_count_B * nnz_B);
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host_vector<C> hC_1(batch_count_C * nnz_C);
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// Initialize data on CPU
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rocsparse_init_1d_array<B>(
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hB, batch_count_B * nnz_B, arg.convert_to_int, arg.rand_gen_min, arg.rand_gen_max);
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rocsparse_init_1d_array<C>(
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hC_1, batch_count_C * nnz_C, arg.convert_to_int, arg.rand_gen_min, arg.rand_gen_max);
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host_vector<C> hC_2(hC_1);
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host_vector<C> hC_gold(hC_1);
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// Allocate device memory
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device_vector<I> dcoo_row_ind(hcoo_row_ind);
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device_vector<I> dcoo_col_ind(hcoo_col_ind);
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device_vector<A> dcoo_val(hcoo_val);
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device_vector<B> dB(hB);
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device_vector<C> dC_1(hC_1);
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device_vector<C> dC_2(hC_2);
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device_vector<T> dalpha(1);
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device_vector<T> dbeta(1);
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CHECK_HIP_ERROR(hipMemcpy(dalpha, &halpha, sizeof(T), hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dbeta, &hbeta, sizeof(T), hipMemcpyHostToDevice));
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// Create descriptors
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rocsparse_local_spmat mat_A(
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A_m, A_n, nnz_A, dcoo_row_ind, dcoo_col_ind, dcoo_val, itype, base, atype);
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ldb = std::max(int64_t(1), ldb);
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ldc = std::max(int64_t(1), ldc);
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rocsparse_local_dnmat mat_B(B_m, B_n, ldb, dB, btype, order_B);
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rocsparse_local_dnmat mat_C1(C_m, C_n, ldc, dC_1, ctype, order_C);
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rocsparse_local_dnmat mat_C2(C_m, C_n, ldc, dC_2, ctype, order_C);
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CHECK_ROCSPARSE_ERROR(rocsparse_coo_set_strided_batch(mat_A, batch_count_A, batch_stride_A));
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CHECK_ROCSPARSE_ERROR(rocsparse_dnmat_set_strided_batch(mat_B, batch_count_B, batch_stride_B));
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CHECK_ROCSPARSE_ERROR(rocsparse_dnmat_set_strided_batch(mat_C1, batch_count_C, batch_stride_C));
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CHECK_ROCSPARSE_ERROR(rocsparse_dnmat_set_strided_batch(mat_C2, batch_count_C, batch_stride_C));
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// Query SpMM buffer
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size_t buffer_size;
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CHECK_ROCSPARSE_ERROR(rocsparse_spmm(handle,
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trans_A,
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trans_B,
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&halpha,
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mat_A,
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mat_B,
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&hbeta,
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mat_C1,
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ttype,
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alg,
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rocsparse_spmm_stage_buffer_size,
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&buffer_size,
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nullptr));
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// Allocate buffer
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void* dbuffer;
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CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size));
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CHECK_ROCSPARSE_ERROR(rocsparse_spmm(handle,
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trans_A,
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trans_B,
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&halpha,
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mat_A,
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mat_B,
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&hbeta,
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mat_C1,
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ttype,
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alg,
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rocsparse_spmm_stage_preprocess,
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&buffer_size,
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dbuffer));
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if(arg.unit_check)
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{
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// Pointer mode host
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CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
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CHECK_ROCSPARSE_ERROR(testing::rocsparse_spmm(handle,
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trans_A,
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trans_B,
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&halpha,
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mat_A,
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mat_B,
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&hbeta,
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mat_C1,
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ttype,
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alg,
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rocsparse_spmm_stage_compute,
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&buffer_size,
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dbuffer));
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// Pointer mode device
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CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
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CHECK_ROCSPARSE_ERROR(testing::rocsparse_spmm(handle,
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trans_A,
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trans_B,
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dalpha,
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mat_A,
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mat_B,
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dbeta,
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mat_C2,
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ttype,
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alg,
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rocsparse_spmm_stage_compute,
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&buffer_size,
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dbuffer));
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// Copy output to host
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hC_1.transfer_from(dC_1);
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hC_2.transfer_from(dC_2);
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// CPU coomm_batched
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host_coomm_batched<T, I, A, B, C>(A_m,
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N,
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A_n,
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nnz_A,
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batch_count_A,
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batch_stride_A,
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trans_A,
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trans_B,
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halpha,
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hcoo_row_ind.data(),
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hcoo_col_ind.data(),
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hcoo_val.data(),
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hB.data(),
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ldb,
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batch_count_B,
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batch_stride_B,
|
|
order_B,
|
|
hbeta,
|
|
hC_gold.data(),
|
|
ldc,
|
|
batch_count_C,
|
|
batch_stride_C,
|
|
order_C,
|
|
base);
|
|
|
|
hC_gold.near_check(hC_1, get_near_check_tol<C>(arg));
|
|
hC_gold.near_check(hC_2, get_near_check_tol<C>(arg));
|
|
}
|
|
|
|
if(arg.timing)
|
|
{
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
|
|
|
|
const double gpu_time_used = rocsparse_clients::run_benchmark(arg,
|
|
rocsparse_spmm,
|
|
handle,
|
|
trans_A,
|
|
trans_B,
|
|
&halpha,
|
|
mat_A,
|
|
mat_B,
|
|
&hbeta,
|
|
mat_C1,
|
|
ttype,
|
|
alg,
|
|
rocsparse_spmm_stage_compute,
|
|
&buffer_size,
|
|
dbuffer);
|
|
|
|
double gflop_count
|
|
= batch_count_C
|
|
* spmm_gflop_count(N, nnz_A, (int64_t)C_m * (int64_t)C_n, hbeta != static_cast<T>(0));
|
|
double gpu_gflops = get_gpu_gflops(gpu_time_used, gflop_count);
|
|
|
|
double gbyte_count = coomm_batched_gbyte_count<A, B, C>(A_m,
|
|
nnz_A,
|
|
(int64_t)B_m * (int64_t)B_n,
|
|
(int64_t)C_m * (int64_t)C_n,
|
|
batch_count_A,
|
|
batch_count_B,
|
|
batch_count_C,
|
|
hbeta != static_cast<T>(0));
|
|
double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count);
|
|
|
|
display_timing_info(display_key_t::M,
|
|
M,
|
|
display_key_t::N,
|
|
N,
|
|
display_key_t::K,
|
|
K,
|
|
display_key_t::nnz_A,
|
|
nnz_A,
|
|
display_key_t::batch_count_A,
|
|
batch_count_A,
|
|
display_key_t::batch_count_B,
|
|
batch_count_B,
|
|
display_key_t::batch_count_C,
|
|
batch_count_C,
|
|
display_key_t::alpha,
|
|
halpha,
|
|
display_key_t::beta,
|
|
hbeta,
|
|
display_key_t::algorithm,
|
|
rocsparse_spmmalg2string(alg),
|
|
display_key_t::gflops,
|
|
gpu_gflops,
|
|
display_key_t::bandwidth,
|
|
gpu_gbyte,
|
|
display_key_t::time_ms,
|
|
get_gpu_time_msec(gpu_time_used));
|
|
}
|
|
|
|
CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer));
|
|
}
|
|
|
|
#define INSTANTIATE(ITYPE, TTYPE) \
|
|
template void testing_spmm_batched_coo_bad_arg<ITYPE, TTYPE, TTYPE, TTYPE, TTYPE>( \
|
|
const Arguments& arg); \
|
|
template void testing_spmm_batched_coo<ITYPE, TTYPE, TTYPE, TTYPE, TTYPE>(const Arguments& arg)
|
|
#define INSTANTIATE_MIXED(ITYPE, ATYPE, XTYPE, YTYPE, TTYPE) \
|
|
template void testing_spmm_batched_coo_bad_arg<ITYPE, ATYPE, XTYPE, YTYPE, TTYPE>( \
|
|
const Arguments& arg); \
|
|
template void testing_spmm_batched_coo<ITYPE, ATYPE, XTYPE, YTYPE, TTYPE>(const Arguments& arg)
|
|
|
|
INSTANTIATE(int32_t, float);
|
|
INSTANTIATE(int32_t, double);
|
|
INSTANTIATE(int32_t, rocsparse_float_complex);
|
|
INSTANTIATE(int32_t, rocsparse_double_complex);
|
|
INSTANTIATE(int64_t, float);
|
|
INSTANTIATE(int64_t, double);
|
|
INSTANTIATE(int64_t, rocsparse_float_complex);
|
|
INSTANTIATE(int64_t, rocsparse_double_complex);
|
|
|
|
INSTANTIATE_MIXED(int32_t, int8_t, int8_t, int32_t, int32_t);
|
|
INSTANTIATE_MIXED(int64_t, int8_t, int8_t, int32_t, int32_t);
|
|
INSTANTIATE_MIXED(int32_t, int8_t, int8_t, float, float);
|
|
INSTANTIATE_MIXED(int64_t, int8_t, int8_t, float, float);
|
|
INSTANTIATE_MIXED(int32_t, _Float16, _Float16, float, float);
|
|
INSTANTIATE_MIXED(int64_t, _Float16, _Float16, float, float);
|
|
INSTANTIATE_MIXED(int32_t, rocsparse_bfloat16, rocsparse_bfloat16, float, float);
|
|
INSTANTIATE_MIXED(int64_t, rocsparse_bfloat16, rocsparse_bfloat16, float, float);
|
|
|
|
void testing_spmm_batched_coo_extra(const Arguments& arg) {}
|