ARM5到ARM6 分散文件加载错误问题
一 、 背景在最近的一次项目中,使用的是ciu32L系列的单片机,因为初始化时,需要对flash进行一些数据写入,发现其使用的是ARM5编译
用官方的历程编译一切正常,但我项目使用的是ARM6编译器,所以我也试了下,直接将编译器改为ARM6,此时编译报了各警告
如下:
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HHVqi0/Gi23tm0Mr/C2FRZyXtpI8RApmn0NbQ2hc3D0y9bmoduu60h5Y9N429lYiPd8rZ6aD34/Kwt0dOvxS+Us66f5VA7v8qvr190jmO94uUHtt+38+/zkz3Kpn3haXLu1kbjCfnv6rcvv14/Ji0qNLZdGPSaZqtnjavtYquNPr/8x7A37BO3AMX2CwaotMWC75YTBsC9kYqBeteG7RN5rTdz3MoVpUeDyo4rNt+wapiPG3l44wqy03iCCTkfo5Q1yrDv38o9L6Pqb9PKvd3446fXcbafHuVqtT8tt+azbx8awz0afcs61DJKOjFOIoOyfcTtdpoejo6tx2b7MErZeNaxl/vantRwsRmIjHPld/MEk5QfhOf9Zz8+mEI4p0f6J4x15Yf+mTPM87+v/yqXvP1q+wvq5vJt+Y61T6fQcsvkjcZUGd9sHvv+FzWMDrIwKttfUT+Wj5Xt90/Ib89//fqrlT/cD4Zq0YdN+7U6nit/e35sl8/UkTM+W93q/NrlPxaqenjjV719lrK9+alqH8i8oP1C5wTVA/dxD9fD3v60Ge/GUK8MNkF+XtUP0azsNCaFB1fbGJW3X7Qh07x241f204SWfMyHqU14fJSdskJWmGv1vuHwzPk9x/mQq4ajdFw+Oo+dyI6n/B4xq299+h7F//Kl/Nb1i4E1s6AfU90wWJ8g9jHKvZiUb93+XqwuqA4J9AjsVkR6CRh+nsCT5qfzCjElCLzb/P4QR4lVvydgnwrsPfp9fN55LwKs362+Hj7xd582bXl/1zO2v+9a8yz3OxOw/XZbAXjnEr2+7g+fn16/yK+t4RvO73SUXrtJUTsSIAESIAESIAESIAESIIFPIPC9HKVsv6Tum7RHs4fyEyrj5bMkv5evIipIAiRAAiRAAiTwYgRoP71YhRxX53s5Sse5MCYJkAAJkAAJkAAJkAAJkMA3JkBH6RtXPotOAiRAAiRAAiRAAiRAAiTgE6Cj5HPhXRIgARIgARIgARIgARIggW9MgI7SN658Fp0ESIAESIAESIAESIAESMAn4DpK2Sss5WNRwzoe/Firn8273S0+aDaOKz66V/7Du+Bf8/tR+w+O4Vsr575LEz+45pS/5HH0elnm8BHeoc5PvrYuH/71vtG1hPTxQ2b716+bj/nh43D3tF37wbWq/D3f/INuR0kg3uP53pO7H7fDb/ejVP8lKMs8/eg38WUpQ/nROz/n7IN6O/7lx//CV8r1w5zn+uIr8lc2Ubc7O679KKTHxn5UVcPPfwvr9fhdH1867b/4ICk+Bst/JEACJEACX5OA6ygF480aP8FxuMfefGdcMDSscR0Mvr2j9KplxFfdp8WY7kv4cvP5+RyGwxPKj6+re42qvD+PmZMXPnC8GSflBzfx3YRxjuWXst/nJOYfUIZTlDt0cj3O6WvXyB/fxDDE72wa9/PF1+E3Andm14ne5QdHqdOY4OiO07zaZtjJNgU3+ZdtQ1It63i7wuO1+AcQ6LPDOsHZ7LBO4OJJzg8f9/PbfxmvlHP8+hX5ha/Ynxlfeu0f3LL54fRDqOOEGZMESIAESOBzCBx0lMKTW52v9YkkJqF5+mHs4slvZrgVKzLDVBh1mFj1SfMoMvBkUye1rvx52tLLioGajPp0c4zh4zrDsNrp14YdDIjNEN7FNqsOqrONg/TpSW18Kp59XG4x5Ue5R8/IhvEHRncagAeM2HXt1E+mH4yswhDKwnP93bJHBjtWrtEbDLvMf+qUqXSUbF3gXAwbbSJloHMd6t+4PTZ/nDtOI9qs9g9HZH4r4+fwrbZvKUxoz9qu4jHLu5H+rvqJWu/4WR55ycLVMq1jppAXqX6vy19kx/4h50X7rIuO+tn+95r84dxIf+mx7pR1x9LEb4WZaPvTd2m/DxpfyvbvXe/Gtj013iEBEiABEnhDAgcdpfh009iOYYvMIE875anxsj09liehNq5MrJszEJ6UxghxtWM30Ygz4suHoW+fVGdGKgyLG1ZUYCCPwdFY6k9V/ToLW6vEwVJHxpYnJqoZGtlEuszrgCfDJv00jvnqA/iM5YrNSUepYhzYcrbrB0bkuOqCDFjDaLOO3jH9bY6V84quYUXMpHGdk7BKJg52yyiPaQ1+I9g/zeq1WJHKwmzySllslHDe59ts31Fge0Wp0T/2CrXvePykj5nvj2XtJT7JH83DjDK8naM4tmk8KPiv2hbkOMhK54LzVhvI8nt9/tLGtDx3lS0rKAZAceprbb/algsx+eXr80v6VvrksfElSnEZgsEg20qHYZSxu8Y46cITEiABEiCBtyTQcJSMIYRVm81yDgWtTEIyOeskb5CkySlOPCYIXkxaTUr3vXsaiCfWuiIFR2YwT/OtfDhbURcYBY5aKrF5XCDHWUXoGhrQJTptKQO5Z9nq+Z0rR0lgcdLihqjI3wGR6sdLb5l29AeT3WraI1aUHP5SchjS+vS9QIGyitNX3u9c52XI2361zhO3uKpZrPiklcEUzyhh+eJ2q33HZE1HqZE+L5u2vXBMzomqdpRf0aY0j03esk7T9qBExdeOmj60o5y/bAvGNsfYt8Xpx6p2ehLx/vx1Rd32o618NWrl/ejQlLfNtd+W359fKqLX18SPzx9cyZjojS+19o/7ZoUaD+RS80uZ84QESIAESOArEGg4Sh3DvTIJdQ3x0igERU+Wd0+IYyLH3v3tGR4m/DRxWfkPcpT2v9kKVe8bGrFZQI/SSVL9vUk5Jrt8sOX3hCE8wdoiHHaU8PKBR+lfqeNshRAqVnRO2jtllpdBmN8RpbgHTmy9wiDHU+NkFzl5QeRO51o+XpkzmZ32HeXWHaVj6Wvq6f37+OVtAvzKBwupfWkGjWOTP7aNylP88HBE4uLp/lFL9U34Jzy9tp8i2pOwA8Dp5jZSvnKXhTQu3omfp6vXVx3Grfa/a8uVfBoUGUQCJEACJPAmBB7vKK1r+BHy5sesq7f1TsMbW+9c40eMyjFtvcOLFrC6lIwCa3SecpT2hmbNULcGXVbf0CFzknJDEhPtMCXTO0u6XZzcehefmGbshP/mTF7dendM/60k1bOagYEntsbwRX6pfmP72lY4w8sWdOVQf39l06OebPqqPjGgrFdcb/KDUwRnU5vwfS9ziE/6NXG5tbHXvqOOtg7FqLvF7ZwH09cZhBW6Fj/kbduvlD8DHLZFpjoq+n897xDS4y/5q/OKNnQz/b8nXBz9xtbSg/yex78oAPTJ2BbhzmXJT1fhyqj7eGUM7/rV26/R+dT40m//4JbatjzHyV/uYDTgKQmQAAmQwJsTcB2l/PXgxTYFfZ1xsbUon8s7LwsQYyVu+4HBc2DrjJWPiUq3peBFCGKoiWMCJyfKRQI4SvElEZrGyvHrLjhKI36Xo7LUKJMEJg8Nl+O26uBtncmfsMff/Wh6GJ7G8A56aT6bXF9f/24wnjfGdgVOnQktH15OkLltYtjGtLLtMuqSVpKO6O/rhbt9PlhECnWn9ZdJi9vtkv6WHQxL5WqO/XqPOcQ2I7JNeaVPmGs4b1v+x7eVSS4dvtpWpexZ+94oyEqXlg/tMzleYJfrtvWPLX317BC/on97LyOxZSz0q+aNgAP8pf2kugj91fjVTfESaHVz2vcRfk/jb7S3/SR78GHieKc2nbZRO/644Yc7CDwDOEv18eGz+bnlS+0lEKuOL6fafzZ6elXCeyRAAiRAAm9KwHWUProsMOTuMQQ+Wj/mRwIkQAIkQAIkQAIkQAIk8L0IfJqjZFet/Ndjf6+KYGlJgARIgARIgARIgARIgAReh8CnOUqvg4CakAAJkAAJkAAJkAAJkAAJkEBOgI5SzoNXJEACJEACJEACJEACJEACJLDSUWIjIAESIAESIAESIAESIAESIIGCAB2lAggvSYAESIAESIAESIAESIAESICOEtsACZAACZAACZAACZAACZAACRQE6CgVQHhJAiRAAiRAAiRAAiRAAiRAAq6jZF/dnT5YiI9bFh8lxIf9rnz/6Ex6/ZhhocqFmiw/pnpBlEkqH3yVjzKe/0bUGT5GhdV+FPUmH9a0oa9/frX8zyrhsszhI8nDtfb/LP2Oyn1Vvkf1D/HO9d9H9M/79GRsEiABEiABEiCBdyPgOkooxDSMa/a9cXyx/HHeySVOcJYeqwq+ND9d0ilLPI+5AzmPD9Y3y82/QH0N47r4oZ9+d9e+Pl2jEwqU9XxCBJM8gsCd/best8/on48oNmWQAAmQAAmQAAk8lUDXUYJTsls1msdVV5rKMF3xGcYfzgJWofBXOl2N9KG0yzqNw5bHOKyDcWTEUZqmuvwFhlPM+3Zbdx+0zcLhdHmG1rKOon/hMB6oDqzkTNZDudfJbPA5whcrBVo/6Wj4rWvBd5gyp1jTo27nKdaj1KE+vR8j33GdYXSWdTxPhv+wjpNxucFC24U5Zo5vo/xu+zD6H+FzoAqPRSkN7gOp0mqtKbDyvmkdtfit66rx9/WzrofK3+B7KP1q+hfaxRTGg3IsqOJolO9Q/of6bzV3WWm91D+z/PfjS6t+oFUv/Hz/rJc5hBzsv53y7fQrxudueKP+k546fnvt67J+PU4MJwESIAESIIFAoOEobcZ2zQCCUeOFibGDCS46C3AcavHq9+e0GrLAsFMjclVjsC5/GouVFEyso64Ywcjb0mJSly1qRn5A82BHaSe/3wQv8ZUVJS1zntc0lI5ccBStb7eKMT3IKuKCgGVewxGOTkiP7Uu3W2AJhpvtv4S4MVsYhltYuHlkRalW/p7+R9tfTuXE1QlHaRUnY18vuXPd51etH+0fpo2f6X/ycKPSf4W/du5lWeH8ef24TrRdvnb9He2/9dxz1gIsexBTTxlC2uNLTF3rPyq8Ed5r3yKikV6zcI/yoKLdf3vlC/2yPT4PUz0cY66MJVHBcnzota+r+rlceJMESIAESIAEHAINRymspNSMVciqheF+ZhhXDMpa+mBMGkfNGH2ab1V+ZcVCDHok9nRpOBUOs+6tq4aYZlDjc4hvrUy4n8ELue109jghqpULYy3KynRa7IrS7YcR+kBH6YD+mS7QuVYWBX32eFKuOomyujRMMBvFeU+O6gF+rTIdLT/ieQ5OM72tf+V2L4dO+Zr5e3l5OqluznHX1u9Jj7hmJTSt2OKBgc3L0/NIOORf6Z82D+/cltXrv4fKZ1YUsWJfjM+98RtjSLbib8cHq5/qb1k+RD8VzCMJkAAJkAAJtAl0HaVW8lOGlhFYS2+irHj0KCsXZkWmaUhVntgnmXbS1Zve5KxhJ47lE1JxLhzjpye6xqdd/ii1Vibcd3TZGY8eJ4i2cj1DC/yx4qQrDtGhLrNUZ6HFwC3/Af0P8WllfDSsxqiTPrAOq3hyjm2kCdAxfu/rKPXL16w/j7ltkx32CL7WP0O9dbPx9LSJauEH2reIqaW3eXjnllWt/5qx1hOR3XPG53Z4p/6tfiooK+tB/pq2p5/G45EESIAESIAEHAIv6Shh68VoDW1MlMmQDCtZ5nK3YgDjE1s//H+YaJ+79U6emJofQUCfTF9fsd1d11HwHI/MkIhiPIMjBh3d2uOtNnQdJcl3TFtrlvh7hLL8Vgd5A9mt2C4Zy+npYNNKkeQ3C1iZCf+ahnaMA0dDVgNKxTT8yNHjfjDdiN/woY1AhrT3mPAgv09zlORFL2br5r1b7w6Ur11/R/tvoyKwonGhf7bHl5hvr200wnvtW3JopG+U/MCDDjTJ1viJF/20x+dm+IH6z8rvtK+r+gU+57dWN/kykARIgARI4EsRcB2l9INz2WJijCIpOp4Ibtviyq0nMHL0ntigapBii4YYJ+30yAKrDaN5mYP9vURfPiTE3x2pnkP8rY1WXfZjYEz6UafsSarqWWypURmdY/j9TuDkGfv15JpvyXjbCtnmC35l2vLV7q2XOfj5B3/ChOFGrFuUT+sFt/UceuJFGrO0ibwd4XdnaQtT5riaPLT+5Gjroa6/zdtvf4E8VhXwynRjL9erpAgJafPJnc4AABpRSURBVAvGWdspEpSXMBZT3jDYcj1sGfb8fD6hfnL2fvn99Lo11ebtp0dh4KzE8qPu8MKPO0DaPMry2bBq/of6bwk9vz7fPyGnNb74fLV+hF3WrgPHLTzIz15mY15Wcix9XtbtyuiGDCv9t12+9viMvFrjt5TOzBFl/Qdde+2rxb+ff8pjN66EEP5PAiRAAiRAAkrAdZQ0kEcS+JoEzryA4GuSeESp4Ajf4yg9Ik/K+D4E2L6+T12zpCRAAiTwagToKL1ajVCf5xOQFR27QvX8LL9aDnbVEqsCuu3xq5WT5fkcAmxfn8OduZIACZAACeQE6CjlPHhFAiRAAiRAAiRAAiRAAiRAAisdJTYCEiABEiABEiABEiABEiABEigI0FEqgPCSBEiABEiABEiABEiABEiABOgosQ2QAAmQAAmQAAmQAAmQAAmQQEGAjlIBhJckQAIkQAIkQAIkQAIkQAIkQEeJbYAESIAESIAESIAESIAESIAECgKuo2RfzaofN5Vj/lXEQtRjLu0HJ7O89YOe5gO2Ej7sX038mfo/hsJjpODDqB/9fRutvw9oKl1Is/1o8Q0fFs6TVPmYNvbR/HINeUUCJEACJEACJEACJPBZBFxHCcrg6+qZXYlvz5SW5pO0hrGdGajIWx2lmCeM4Knx8ZbP1P9JWDKxu/JloZ97gfr7oKZSL6i0mfHS93127bCeG0NIgARIgARIgARIgAS+GIGuo+QZi3gSj9UcODPzNK7D7bbeMsdqWSfzNB9OTnC65nWMcccBMsZ1nvfptzzndSwcJOV/1FHaZGlKPS5BF+igtw4flzVbrRimdRw2x63LZ0G5AkPhWH6wc4Y8DR/WcTIaysdSNWw7Zo5JY0UEPEKekfuu7gDB6Id6ncZU30cQIY9xmkK78OS3ym/KJ2VKZdn49nRQ/rLiiPxFh2lLlmS2V9yqbael/5YLz0iABEiABEiABEiABN6YQMNR2ozwbHVHCyvG5iCrTAtWdpZ5laOsRhVGrRiWcYucGMIhfBEDfFznZRXHQ419NeZ3Bq7mDVO+u6LU0X897ygh7xFK6z+U71aUucVnLFY6kH40hvy6JJbIAoa/stEsj6wo1Qx94QsHKBYB5bF1PMHp08BlWbGV0YarDrVjqL+G/F75TRtZ7XktQ+8+0lWcbI1e49MLn3r6qwAeSYAESIAESIAESIAE3pZAw1EKKy1VYxIrQd7eNxiopVVvHRtrwMKZiHGRjybb8nzmitLZOqvrlEls8dFVjuxoVrYWu6J0+2HwP95RUtais9XV1o8WyIbrvcbR1qUrPyu3OrSm/Ei0zHFFqnBAG/lmQV45sgjrurWzIiBeuuGQe0R/XyTvkgAJkAAJkAAJkAAJvAmBrqNULUfNeIYhmVnhQUJaAbIGbNdRqua+W1EqjfMjKy516a2Q4CiZ9SQ/co2PbGuzq0dl8rg6pSs68BmME6mxj5TPNfQ9eVZXWz+amQ3Xe43jTt8s/TFHc9EVuaFYvWvkmwV55cginHSUuvVXZMJLEiABEiABEiABEiCBtyTweEfpyNY73RJ1h6NUOgbJ8YrYS+O8jL+vnStb7/KtaEv8zUrmH2bOQZ572Opmfndkg8XAH9PWuyX+XimTXTDGFsbhVmzniw6Rt+pXsloLXWXrnXqCJ7feZfoW8pvlj3rLb95EBzhWOW+Lq3r+NEcpbPsc7O/GXCV67etquJspb5IACZAACZAACZAACTyIgOso5a/XLrc+xRcyFNuPMsN47bzMAWmRQFYNghEM411eMvDj9zHZj/BTPnFrVkzjxVEd2vorOS1HseVLg5vHvHw3+5serDgknXVbWbl1rnwZRPytV8xTWQiPc***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
二、解决方案
2.1、 官方例程如下:
#if defined ( __CC_ARM )
#pragma arm section code = "FAST_PROGRAM"
#elif defined ( __ICCARM__ )
__ramfunc
#elif defined ( __GNUC__ )
__attribute__((section (".RamFunc")))
#endif
/**
* @briefFlash快速编程,往目标地址快速编程半页数据
* @paramaddress 编程地址
* @paramdata_buf 编程数据
* @retval std_status_t 本函数执行结果
*/
std_status_t bsp_flash_fast_write(uint32_t address, uint32_t *data_buf)
{
std_status_t status = STD_OK;
uint32_t prog_count = 0;
/* 启动快速编程模式 */
FLASH->CR |= FLASH_CR_FSTPG_MODE;
/* 向目标地址写入数据 */
for (prog_count=0; prog_count < FSTPG_WORD_COUNT; prog_count++)
{
((uint32_t *)address) = data_buf;
/* 查询等待BSY标志被清除 */
while ((FLASH->SR & FLASH_FLAG_BSY) == FLASH_FLAG_BSY);
/* 若出现错误,则退出编程循环 */
if (FLASH->SR & FLASH_FLAG_ALL_ERR)
{
status = STD_ERR;
break;
}
}
/* 查询等待FSTPG_MODE状态被自动清零 */
while ((FLASH->CR & FLASH_CR_FSTPG_MODE) == FLASH_CR_FSTPG_MODE);
/* 清除Flash标志 */
FLASH->SR = (FLASH_FLAG_ALL_ERR | FLASH_SR_EOP);
return (status);
}
#if defined ( __CC_ARM )
#pragma arm section
#endif
分散加载文件如下:
LR_IROM1 0x08000000 0x00040000{ ; load region size_region
ER_IROM1 0x08000000 0x00040000{; load address = execution address
*.o (RESET, +First)
*(InRoot$$Sections)
.ANY (+RO)
}
RW_IRAM1 0x20000000 0x00001000{; RW data
*.o(FAST_PROGRAM)
.ANY (+RW +ZI)
}
}
注意:
在ARM6(即AC6编译器,基于LLVM/Clang)环境下,__CC_ARM 这个宏已被废弃,GNUC
也被Keil的ARM编译器6支持。但你遇到的问题的根本原因是,没有正确地在链接脚本和代码中统一声明和使用 .FAST_PROGRAM
段,导致编译时找不到匹配的 .o(FAST_PROGRAM) 段。
2.2、解决方案:
确保正确的编译器宏判断
ARM6 编译器在 Keil 中的宏是 __ARMCC_VERSION
#if defined(__CC_ARM)// ARM Compiler 5
#pragma arm section code="FAST_PROGRAM"
#elif defined(__ARMCC_VERSION) && (__ARMCC_VERSION >= 6000000)// ARM Compiler 6
__attribute__((section(".FAST_PROGRAM"), used))
#elif defined(__ICCARM__)// IAR
__ramfunc
#elif defined(__GNUC__)// GCC
__attribute__((section(".FAST_PROGRAM"), used))
#endif
分散加载文件如下:
LR_IROM1 0x08000000 0x00040000{ ; load region size_region
ER_IROM1 0x08000000 0x00040000{; load address = execution address
*.o (RESET, +First)
*(InRoot$$Sections)
.ANY (+RO)
}
RW_IRAM1 0x20000000 0x00002000{; RW data
*(FAST_PROGRAM) ; 让 .FAST_PROGRAM 段放入 RAM
.ANY (+RW +ZI)
}
}
此时编译通过,程序运行正常。
写笔记的目的其实就是当再次遇到同一个问题,时间久了可能会忘记处理方法,同时也可以解决大家在项目中碰到此类问题,给以快速解决方案。赠人玫瑰,手有余香。养成做笔记的习惯。
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版权声明:本文为博主原创文章,遵循 CC 4.0 BY-SA 版权协议,转载请附上原文出处链接和本声明。
原文链接:https://blog.csdn.net/Porter_007/article/details/146230194
感谢分享,这个解决方案对于我们这些经常需要在不同ARM版本之间切换的开发者来说非常有帮助。
感谢分享,遇到类似的问题时,确实需要这样的详细解决方案。你的笔记对于我们这些开发者来说非常有帮助。
感谢分享,遇到类似的问题时,确实需要详细的步骤和解决方案。你的笔记对于我们这些经常需要在不同ARM版本间切换的开发者来说非常有帮助。
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