/**  * Copyright (c) 2025 Huawei Technologies Co., Ltd.  * This program is free software, you can redistribute it and/or modify it under the terms and conditions of  * CANN Open Software License Agreement Version 2.0 (the "License").  * Please refer to the License for details. You may not use this file except in compliance with the License.  * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,  * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.  * See LICENSE in the root of the software repository for the full text of the License.  */ /*! * \file common_func.h * \brief */ #ifndef INCLUDE_COMMON_FUNC_H #define INCLUDE_COMMON_FUNC_H #include #include #ifdef __CCE_KT_TEST__ #include "stub_def.h" #include "stub_fun.h" #else #include "kernel_macros.h" #endif template inline __aicore__ T RoundUp(const T val) { static_assert(ALIGN != 0, "align must not be zero"); static_assert(std::is_arithmetic::value, "T must be an arithmetic type"); T align = ALIGN; if (val + align - 1 < val) { return val; } return (val + align - 1) / align * align; } template inline __aicore__ T RoundUp(const T val, const T align) { static_assert(std::is_arithmetic::value, "T must be an arithmetic type"); if (align == 0 || val + align - 1 < val) { return val; } return (val + align - 1) / align * align; } template inline __aicore__ T CeilDiv(const T dividend) { static_assert(DIVISOR != 0, "align must not be zero"); static_assert(std::is_arithmetic::value, "T must be an arithmetic type"); T divisor = DIVISOR; if (dividend + divisor - 1 < dividend) { return dividend; } return (dividend + divisor - 1) / divisor; } template constexpr T T_MAX = std::numeric_limits::max(); template inline __aicore__ T CeilDiv(const T dividend, const T divisor) { static_assert(std::is_arithmetic::value, "T must be an arithmetic type"); if (divisor == 0 || dividend + divisor - 1 < dividend) { return T_MAX; } return (dividend + divisor - 1) / divisor; } template __aicore__ inline T Min(const T lhs, const T rhs) { return lhs < rhs ? lhs : rhs; } template __aicore__ __attribute__((always_inline)) inline uint32_t BlockSize() { return 32 / sizeof(Dtype); } template __aicore__ __attribute__((always_inline)) inline uint32_t MatrixSize() { return 512 / sizeof(Dtype); } template __aicore__ __attribute__((always_inline)) inline uint64_t BlockSizeRoundUp(uint64_t num) { return (num + BlockSize() - 1) / BlockSize() * BlockSize(); } template __aicore__ __attribute__((always_inline)) inline uint64_t NumBlocksRoundUp(uint64_t num) { return (num + BlockSize() - 1) / BlockSize(); } template __aicore__ __attribute__((always_inline)) inline uint64_t MatrixSizeRoundUp(uint64_t num) { return (num + MatrixSize() - 1) / MatrixSize() * MatrixSize(); } template __aicore__ __attribute__((always_inline)) inline uint64_t NumMatrixsRoundUp(uint64_t num) { return (num + MatrixSize() - 1) / MatrixSize(); } template __aicore__ __attribute__((always_inline)) inline uint64_t L0HalfSize() { return 32 * 1024 / sizeof(Dtype); } #endif