Line data    Source code

       1              : /**
       2              :  * Copyright (c) 2025 Huawei Technologies Co., Ltd.
       3              :  * This program is free software, you can redistribute it and/or modify it under the terms and conditions of
       4              :  * CANN Open Software License Agreement Version 2.0 (the "License").
       5              :  * Please refer to the License for details. You may not use this file except in compliance with the License.
       6              :  * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
       7              :  * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
       8              :  * See LICENSE in the root of the software repository for the full text of the License.
       9              :  */
      10              : 
      11              : /*!
      12              :  * \file kernel_cube_initconstvalue_check.cpp
      13              :  * \brief
      14              :  */
      15              : 
      16              : #include "kernel_check_params.h"
      17              : #include "kernel_cube_initconstvalue_check.h"
      18              : 
      19              : namespace AscendC {
      20              : namespace check {
      21            0 : bool TikcppCubeInitConstValueCheck::CheckAllLowLevel()
      22              : {
      23            0 :     uint16_t repeatTimes = param_.repeatTimes;
      24            0 :     uint16_t blockNum = param_.blockNum;
      25            0 :     uint16_t dstGap = param_.dstGap;
      26              : 
      27            0 :     ASCENDC_CHECK(CheckBufferSizeOverFlow(
      28              :         param_.dstSize, GlobalParams::Instance().bufferSizeMap.at(param_.dstPos),
      29              :         "Failed to check dstLocal tensor buffersize in InitConstValue"));
      30              :     // repeatTimes + block + dstGap not exceed dstLocal
      31              : #if defined(__NPU_ARCH__) && __NPU_ARCH__ == 2002
      32            0 :     uint32_t blockLen = 512; //  310P fix one repeat is 512B
      33              : #else
      34            0 :     uint32_t blockLen = 32; // one block length is 32B
      35            0 :     if (param_.dstPos == static_cast<uint8_t>(HardWareIndex::L0A) ||
      36            0 :         param_.dstPos == static_cast<uint8_t>(HardWareIndex::L0B)) {
      37            0 :         blockLen = 512; // when L0A / L0B, block is in unit of 512B
      38              :     }
      39              : #endif
      40            0 :     uint64_t bufferSize = ((blockNum + dstGap) * repeatTimes - dstGap) * blockLen;
      41            0 :     if (param_.dstSize < bufferSize) {
      42            0 :         CHECK_LOG_ERROR("Failed to check dstLocal tensor calculate size overflow in InitConstValue, please check "
      43              :                         "value of repeatTimes, blockNum, dstGap");
      44            0 :         return false;
      45              :     }
      46              : 
      47            0 :     return true;
      48              : }
      49              : } // namespace check
      50              : } // namespace AscendC