derek.holloway
7502bf64a4
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592 lines
32 KiB
C++
592 lines
32 KiB
C++
/*! \file */
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/* ************************************************************************
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* Copyright (C) 2020-2026 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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#pragma once
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#ifndef ROCSPARSE_INIT_HPP
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#define ROCSPARSE_INIT_HPP
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#include "rocsparse_host.hpp"
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#include "rocsparse_random.hpp"
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#include <fstream>
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/* ==================================================================================== */
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/*! \brief matrix/vector initialization: */
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// for vector x (M=1, N=lengthX, lda=incx);
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// for complex number, the real/imag part would be initialized with the same value
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// Initialize vector with random values
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// If use_exact is false (default value), the values will be random floating point values
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// If use_exact is true, the values will be integers in the range [a, b]
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template <typename T>
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void rocsparse_init_1d_array(
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T* A, size_t size, bool use_exact = false, T a = static_cast<T>(0), T b = static_cast<T>(1));
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template <typename T>
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void rocsparse_init(T* A,
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size_t M,
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size_t N,
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size_t lda,
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bool use_exact = false,
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size_t stride = 0,
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size_t batch_count = 1,
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T a = static_cast<T>(0),
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T b = static_cast<T>(1));
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// Initialize vector with random floating point values
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template <typename T>
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void rocsparse_init_inexact(T* A,
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size_t M,
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size_t N,
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size_t lda,
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size_t stride = 0,
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size_t batch_count = 1,
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T a = static_cast<T>(0),
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T b = static_cast<T>(1));
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// Initialize vector with random integer values
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template <typename T>
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void rocsparse_init_exact(T* A,
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size_t M,
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size_t N,
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size_t lda,
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size_t stride = 0,
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size_t batch_count = 1,
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int a = 1,
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int b = 10);
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// Initialize vector with random values
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// If use_exact is false (default value), the values will be random floating point values
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// If use_exact is true, the values will be integers in the range [a, b]
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template <typename T>
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void rocsparse_init_1d_array(std::vector<T>& A,
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size_t size,
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bool use_exact = false,
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T a = static_cast<T>(0),
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T b = static_cast<T>(1));
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template <typename T>
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void rocsparse_init(std::vector<T>& A,
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size_t M,
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size_t N,
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size_t lda,
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bool use_exact = false,
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size_t stride = 0,
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size_t batch_count = 1,
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T a = static_cast<T>(0),
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T b = static_cast<T>(1));
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// Initialize vector with random floating point values
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template <typename T>
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void rocsparse_init_inexact(std::vector<T>& A,
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size_t M,
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size_t N,
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size_t lda,
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size_t stride = 0,
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size_t batch_count = 1,
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T a = static_cast<T>(0),
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T b = static_cast<T>(1));
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// Initialize vector with random integer values
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template <typename T>
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void rocsparse_init_exact(std::vector<T>& A,
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size_t M,
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size_t N,
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size_t lda,
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size_t stride = 0,
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size_t batch_count = 1,
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int a = 1,
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int b = 10);
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// Initializes sparse index vector with nnz entries ranging from start to end
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template <typename I>
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void rocsparse_init_index(std::vector<I>& x, size_t nnz, size_t start, size_t end);
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// Initialize matrix so adjacent entries have alternating sign.
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// In gemm if either A or B are initialized with alernating
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// sign the reduction sum will be summing positive
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// and negative numbers, so it should not get too large.
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// This helps reduce floating point inaccuracies for 16bit
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// arithmetic where the exponent has only 5 bits, and the
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// mantissa 10 bits.
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template <typename T>
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void rocsparse_init_alternating_sign(
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std::vector<T>& A, size_t M, size_t N, size_t lda, size_t stride = 0, size_t batch_count = 1);
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/* ==================================================================================== */
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/*! \brief Initialize an array with random data, with NaN where appropriate */
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template <typename T>
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void rocsparse_init_nan(T* A, size_t N);
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template <typename T>
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void rocsparse_init_nan(
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std::vector<T>& A, size_t M, size_t N, size_t lda, size_t stride = 0, size_t batch_count = 1);
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/* ==================================================================================== */
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/*! \brief Generate a random sparse matrix in COO format */
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template <typename I, typename T>
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void rocsparse_init_coo_matrix(std::vector<I>& row_ind,
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std::vector<I>& col_ind,
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std::vector<T>& val,
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I M,
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I N,
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int64_t nnz,
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rocsparse_index_base base,
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bool full_rank = false,
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bool to_int = false);
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/* ==================================================================================== */
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/*! \brief Generate 2D 9pt laplacian on unit square in CSR format */
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template <typename I, typename J, typename T>
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void rocsparse_init_csr_laplace2d(std::vector<I>& row_ptr,
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std::vector<J>& col_ind,
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std::vector<T>& val,
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int32_t dim_x,
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int32_t dim_y,
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J& M,
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J& N,
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I& nnz,
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rocsparse_index_base base);
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/* ==================================================================================== */
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/*! \brief Generate 2D 9pt laplacian on unit square in COO format */
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template <typename I, typename T>
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void rocsparse_init_coo_laplace2d(std::vector<I>& row_ind,
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std::vector<I>& col_ind,
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std::vector<T>& val,
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int32_t dim_x,
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int32_t dim_y,
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I& M,
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I& N,
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int64_t& nnz,
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rocsparse_index_base base);
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/* ==================================================================================== */
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/*! \brief Generate 2D 9pt laplacian on unit square in GEBSR format */
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template <typename I, typename J, typename T>
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void rocsparse_init_gebsr_laplace2d(std::vector<I>& row_ptr,
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std::vector<J>& col_ind,
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std::vector<T>& val,
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int32_t dim_x,
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int32_t dim_y,
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J& Mb,
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J& Nb,
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I& nnzb,
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J row_block_dim,
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J col_block_dim,
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rocsparse_index_base base);
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/* ==================================================================================== */
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/*! \brief Generate 2D 9pt laplacian on unit square in ELL format */
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template <typename I, typename T>
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void rocsparse_init_ell_laplace2d(std::vector<I>& col_ind,
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std::vector<T>& val,
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int32_t dim_x,
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int32_t dim_y,
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I& M,
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I& N,
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I& width,
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rocsparse_index_base base);
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/* ==================================================================================== */
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/*! \brief Generate 3D 27pt laplacian on unit square in CSR format */
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template <typename I, typename J, typename T>
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void rocsparse_init_csr_laplace3d(std::vector<I>& row_ptr,
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std::vector<J>& col_ind,
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std::vector<T>& val,
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int32_t dim_x,
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int32_t dim_y,
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int32_t dim_z,
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J& M,
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J& N,
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I& nnz,
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rocsparse_index_base base);
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/* ==================================================================================== */
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/*! \brief Generate 3D 27pt laplacian on unit square in COO format */
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template <typename I, typename T>
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void rocsparse_init_coo_laplace3d(std::vector<I>& row_ind,
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std::vector<I>& col_ind,
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std::vector<T>& val,
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int32_t dim_x,
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int32_t dim_y,
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int32_t dim_z,
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I& M,
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I& N,
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int64_t& nnz,
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rocsparse_index_base base);
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/* ==================================================================================== */
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/*! \brief Generate 3D 27pt laplacian on unit square in GEBSR format */
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template <typename I, typename J, typename T>
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void rocsparse_init_gebsr_laplace3d(std::vector<I>& row_ptr,
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std::vector<J>& col_ind,
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std::vector<T>& val,
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int32_t dim_x,
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int32_t dim_y,
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int32_t dim_z,
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J& Mb,
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J& Nb,
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I& nnzb,
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J row_block_dim,
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J col_block_dim,
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rocsparse_index_base base);
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/* ============================================================================================ */
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/*! \brief Read matrix from mtx file in CSR format */
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template <typename I, typename J, typename T>
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void rocsparse_init_csr_mtx(const char* filename,
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std::vector<I>& csr_row_ptr,
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std::vector<J>& csr_col_ind,
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std::vector<T>& csr_val,
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J& M,
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J& N,
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I& nnz,
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rocsparse_index_base base);
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/* ============================================================================================ */
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/*! \brief Read matrix from mtx file in COO format */
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template <typename I, typename T>
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void rocsparse_init_coo_mtx(const char* filename,
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std::vector<I>& coo_row_ind,
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std::vector<I>& coo_col_ind,
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std::vector<T>& coo_val,
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I& M,
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I& N,
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int64_t& nnz,
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rocsparse_index_base base);
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/* ============================================================================================ */
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/*! \brief Read matrix from mtx file in GEBSR format */
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template <typename I, typename J, typename T>
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void rocsparse_init_gebsr_mtx(const char* filename,
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std::vector<I>& bsr_row_ptr,
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std::vector<J>& bsr_col_ind,
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std::vector<T>& bsr_val,
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J& Mb,
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J& Nb,
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I& nnzb,
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J row_block_dim,
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J col_block_dim,
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rocsparse_index_base base);
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/* ============================================================================================ */
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/*! \brief Read matrix from smtx file in CSR format */
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template <typename I, typename J, typename T>
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void rocsparse_init_csr_smtx(const char* filename,
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std::vector<I>& csr_row_ptr,
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std::vector<J>& csr_col_ind,
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std::vector<T>& csr_val,
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J& M,
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J& N,
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I& nnz,
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rocsparse_index_base base);
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/* ============================================================================================ */
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/*! \brief Read matrix from smtx file in COO format */
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template <typename I, typename T>
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void rocsparse_init_coo_smtx(const char* filename,
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std::vector<I>& coo_row_ind,
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std::vector<I>& coo_col_ind,
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std::vector<T>& coo_val,
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I& M,
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I& N,
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int64_t& nnz,
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rocsparse_index_base base);
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/* ============================================================================================ */
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/*! \brief Read matrix from smtx file in GEBSR format */
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template <typename I, typename J, typename T>
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void rocsparse_init_gebsr_smtx(const char* filename,
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std::vector<I>& bsr_row_ptr,
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std::vector<J>& bsr_col_ind,
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std::vector<T>& bsr_val,
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J& Mb,
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J& Nb,
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I& nnzb,
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J row_block_dim,
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J col_block_dim,
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rocsparse_index_base base);
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/* ============================================================================================ */
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/*! \brief Read matrix from bsmtx file in CSR format */
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template <typename I, typename J, typename T>
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void rocsparse_init_csr_bsmtx(const char* filename,
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std::vector<I>& csr_row_ptr,
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std::vector<J>& csr_col_ind,
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std::vector<T>& csr_val,
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J& M,
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J& N,
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I& nnz,
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rocsparse_index_base base);
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/* ============================================================================================ */
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/*! \brief Read matrix from bsmtx file in COO format */
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template <typename I, typename T>
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void rocsparse_init_coo_bsmtx(const char* filename,
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std::vector<I>& coo_row_ind,
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std::vector<I>& coo_col_ind,
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std::vector<T>& coo_val,
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I& M,
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I& N,
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int64_t& nnz,
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rocsparse_index_base base);
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/* ============================================================================================ */
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/*! \brief Read matrix from bsmtx file in GEBSR format */
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template <typename I, typename J, typename T>
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void rocsparse_init_gebsr_bsmtx(const char* filename,
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std::vector<I>& bsr_row_ptr,
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std::vector<J>& bsr_col_ind,
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std::vector<T>& bsr_val,
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J& Mb,
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J& Nb,
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I& nnzb,
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J row_block_dim,
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J col_block_dim,
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rocsparse_index_base base);
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/* ==================================================================================== */
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/*! \brief Read matrix from binary file in rocALUTION format */
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template <typename I, typename J, typename T>
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void rocsparse_init_csr_rocalution(const char* filename,
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std::vector<I>& row_ptr,
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std::vector<J>& col_ind,
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std::vector<T>& val,
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J& M,
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J& N,
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I& nnz,
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rocsparse_index_base base);
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/* ==================================================================================== */
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/*! \brief Read matrix from binary file in rocALUTION format */
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template <typename I, typename T>
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void rocsparse_init_coo_rocalution(const char* filename,
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std::vector<I>& row_ind,
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std::vector<I>& col_ind,
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std::vector<T>& val,
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I& M,
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I& N,
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int64_t& nnz,
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rocsparse_index_base base);
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/* ==================================================================================== */
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/*! \brief Read matrix from binary file in rocALUTION format */
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template <typename I, typename J, typename T>
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void rocsparse_init_gebsr_rocalution(const char* filename,
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std::vector<I>& row_ptr,
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std::vector<J>& col_ind,
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std::vector<T>& val,
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J& Mb,
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J& Nb,
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I& nnzb,
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J row_block_dim,
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J col_block_dim,
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rocsparse_index_base base);
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/* ==================================================================================== */
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/*! \brief Read matrix from binary file in rocSPARSEIO format */
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template <typename I, typename J, typename T>
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void rocsparse_init_csr_rocsparseio(const char* filename,
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std::vector<I>& row_ptr,
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std::vector<J>& col_ind,
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std::vector<T>& val,
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J& M,
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J& N,
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I& nnz,
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rocsparse_index_base base);
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/* ==================================================================================== */
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/*! \brief Read matrix from binary file in rocSPARSEIO format */
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template <typename I, typename T>
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void rocsparse_init_coo_rocsparseio(const char* filename,
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std::vector<I>& row_ind,
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std::vector<I>& col_ind,
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std::vector<T>& val,
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I& M,
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I& N,
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int64_t& nnz,
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rocsparse_index_base base);
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/* ==================================================================================== */
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/*! \brief Read matrix from binary file in rocSPARSEIO format */
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template <typename I, typename J, typename T>
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void rocsparse_init_gebsr_rocsparseio(const char* filename,
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std::vector<I>& row_ptr,
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std::vector<J>& col_ind,
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std::vector<T>& val,
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rocsparse_direction dir,
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|
J& Mb,
|
|
J& Nb,
|
|
I& nnzb,
|
|
J row_block_dim,
|
|
J col_block_dim,
|
|
rocsparse_index_base base);
|
|
|
|
/* ==================================================================================== */
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|
/*! \brief Generate a random sparse matrix in CSR format */
|
|
template <typename I, typename J, typename T>
|
|
void rocsparse_init_csr_random(std::vector<I>& row_ptr,
|
|
std::vector<J>& col_ind,
|
|
std::vector<T>& val,
|
|
J M,
|
|
J N,
|
|
I& nnz,
|
|
rocsparse_index_base base,
|
|
rocsparse_matrix_init_kind init_kind,
|
|
bool full_rank = false,
|
|
bool to_int = false);
|
|
|
|
/* ==================================================================================== */
|
|
/*! \brief Generate a random sparse matrix in COO format */
|
|
template <typename I, typename T>
|
|
void rocsparse_init_coo_random(std::vector<I>& row_ind,
|
|
std::vector<I>& col_ind,
|
|
std::vector<T>& val,
|
|
I M,
|
|
I N,
|
|
int64_t& nnz,
|
|
rocsparse_index_base base,
|
|
rocsparse_matrix_init_kind init_kind,
|
|
bool full_rank = false,
|
|
bool to_int = false);
|
|
|
|
/* ==================================================================================== */
|
|
/*! \brief Generate a random sparse matrix in GEBSR format */
|
|
template <typename I, typename J, typename T>
|
|
void rocsparse_init_gebsr_random(std::vector<I>& row_ptr,
|
|
std::vector<J>& col_ind,
|
|
std::vector<T>& val,
|
|
J Mb,
|
|
J Nb,
|
|
I& nnzb,
|
|
J row_block_dim,
|
|
J col_block_dim,
|
|
rocsparse_index_base base,
|
|
rocsparse_matrix_init_kind init_kind,
|
|
bool full_rank = false,
|
|
bool to_int = false);
|
|
|
|
/* ==================================================================================== */
|
|
/*! \brief Generate a tridiagonal sparse matrix in COO format */
|
|
template <typename I, typename T>
|
|
void rocsparse_init_coo_tridiagonal(std::vector<I>& row_ind,
|
|
std::vector<I>& col_ind,
|
|
std::vector<T>& val,
|
|
I M,
|
|
I N,
|
|
int64_t& nnz,
|
|
rocsparse_index_base base,
|
|
I l,
|
|
I u);
|
|
|
|
/* ==================================================================================== */
|
|
/*! \brief Generate a tridiagonal sparse matrix in CSR format */
|
|
template <typename I, typename J, typename T>
|
|
void rocsparse_init_csr_tridiagonal(std::vector<I>& row_ptr,
|
|
std::vector<J>& col_ind,
|
|
std::vector<T>& val,
|
|
J M,
|
|
J N,
|
|
I& nnz,
|
|
rocsparse_index_base base,
|
|
J l,
|
|
J u);
|
|
|
|
/* ==================================================================================== */
|
|
/*! \brief Generate a tridiagonal sparse matrix in GEBSR format */
|
|
template <typename I, typename J, typename T>
|
|
void rocsparse_init_gebsr_tridiagonal(std::vector<I>& row_ptr,
|
|
std::vector<J>& col_ind,
|
|
std::vector<T>& val,
|
|
J Mb,
|
|
J Nb,
|
|
I& nnzb,
|
|
J row_block_dim,
|
|
J col_block_dim,
|
|
rocsparse_index_base base,
|
|
J l,
|
|
J u);
|
|
|
|
/* ==================================================================================== */
|
|
/*! \brief Generate a penta diagonal sparse matrix in COO format */
|
|
template <typename I, typename T>
|
|
void rocsparse_init_coo_pentadiagonal(std::vector<I>& row_ind,
|
|
std::vector<I>& col_ind,
|
|
std::vector<T>& val,
|
|
I M,
|
|
I N,
|
|
int64_t& nnz,
|
|
rocsparse_index_base base,
|
|
I ll,
|
|
I l,
|
|
I u,
|
|
I uu);
|
|
|
|
/* ==================================================================================== */
|
|
/*! \brief Generate a penta diagonal sparse matrix in CSR format */
|
|
template <typename I, typename J, typename T>
|
|
void rocsparse_init_csr_pentadiagonal(std::vector<I>& row_ptr,
|
|
std::vector<J>& col_ind,
|
|
std::vector<T>& val,
|
|
J M,
|
|
J N,
|
|
I& nnz,
|
|
rocsparse_index_base base,
|
|
J ll,
|
|
J l,
|
|
J u,
|
|
J uu);
|
|
|
|
/* ==================================================================================== */
|
|
/*! \brief Generate a penta diagonal sparse matrix in GEBSR format */
|
|
template <typename I, typename J, typename T>
|
|
void rocsparse_init_gebsr_pentadiagonal(std::vector<I>& row_ptr,
|
|
std::vector<J>& col_ind,
|
|
std::vector<T>& val,
|
|
J Mb,
|
|
J Nb,
|
|
I& nnzb,
|
|
J row_block_dim,
|
|
J col_block_dim,
|
|
rocsparse_index_base base,
|
|
J ll,
|
|
J l,
|
|
J u,
|
|
J uu);
|
|
|
|
/* ==================================================================================== */
|
|
/*! \brief Set all entries in an array to 1.0 for numerical stability with low-precision types */
|
|
template <typename T>
|
|
inline void set_array_to_ones(T* data, int64_t size)
|
|
{
|
|
for(int64_t i = 0; i < size; ++i)
|
|
{
|
|
data[i] = static_cast<T>(1.0);
|
|
}
|
|
}
|
|
|
|
#endif // ROCSPARSE_INIT_HPP
|