问答

[i=s] 本帖最后由 zhjb1 于 2024-11-13 17:42 编辑 [/i] 用Work_Bench创建了一个AT的工程，在左实验室能遇到一些问题，以后慢慢提问并解决。如果解决了，会将代码放上一起学习。 一、PWM脉宽main中调整调整的问题 按照ATWB创建新工程，其中设置了5路ADC最后一路为测试内部温度，4路分别由TIM1、TIM3、TIM4、TIM8都为PWM_A模式，USART1，I2C1，EXTINTIO、Input IO、XMC、一些Output IO。先测试PWM，金额本上与工程常见的PWM频率相同，稍稍低一点，可以容忍的范围。在查看PWM--time初始化函数可以看到控制pwm脉宽的是下语句： tmr_channel_value_set(TMR1, TMR_SELECT_CHANNEL_1, [color=#f00000][b]30[/b][/color]);[color=#f00000][b]30[/b][/color]是脉宽，相当于周期的1/10，基本吻合。问题按照STM的方法，直接将这行语句放在主函数中，连续改变30，PWM脉宽不变，城市STM芯片的更改脉宽方式也无动于衷。 问题是应该如何更改脉宽？总不能改革脉宽需要重新初始化一下TIM。 谢谢

int main(void) { //¿ÉÒÔ×öµ½´«ÊäÊý¾Ý³öÀ´£¬¶¨µã´«ÊäÊý¾Ý³öÀ´ uint32_t Status2 =0; uint32_t Status3; uint16_t x; dma_parameter_struct dma_init_struct2; gpio_pin_remap_config(GPIO_SWJ_NONJTRST_REMAP, ENABLE); //ÏÂÔØ¿ÚNJTRSTÒý½Åµ±×öÆÕͨI/O¿Ú rcu_ahb_clock_config(RCU_AHB_CKSYS_DIV1); systick_config(); //1ms systick gpio_config(); //PA1,PA2,PA3¹Ü½ÅÅäÖà /************************************************/ //UART0_init rcu_periph_clock_enable(RCU_AF);//Need!!!! //usart_halfduplex_enable(USART0); rcu_periph_clock_enable(RCU_USART0); //ʹÄÜUSART0ʱÖÓ gpio_pin_remap_config(GPIO_USART0_REMAP,ENABLE); usart_deinit(USART0); //³õʼ»¯ //¸´Î»Ê±ÖÓ usart_baudrate_set(USART0, 19200U); //¶¨Ò岨ÌØÂÊ usart_receive_config(USART0, USART_RECEIVE_ENABLE); //½ÓÊÕʹÄÜ usart_transmit_config(USART0, USART_TRANSMIT_ENABLE); //·¢ËÍʹÄÜ usart_interrupt_enable(USART0, USART_INT_TC); //·¢ËÍÍê³ÉÖÐ¶Ï usart_interrupt_enable(USART0, USART_INT_IDLE); //¿ÕÏÐÖÐ¶Ï usart_enable(USART0); //Ä£¿éʹÄÜ USART_INT_TC nvic_irq_enable(USART0_IRQn, 0, 1); RX0_DMAquest_StartOrInit(); TX0_DMAquest_StartOrInit(); usart_dma_receive_config(USART0, USART_DENR_ENABLE); usart_dma_transmit_config(USART0, USART_DENT_ENABLE); //NVICEXTI_config(); // timer_interrupt_flag_clear(TIMER0, TIMER_INT_FLAG_CH0); // timer_interrupt_enable(TIMER0, TIMER_INT_CH0); // usart_dma_transmit_config(USART0, USART_DENT_ENABLE); // usart_dma_receive_config(USART0, USART_DENR_ENABLE); /******************************************************/ /* configure DMA mode */ // dma_circulation_disable(DMA1, DMA_CH4); //²»Ñ­»· rcu_periph_clock_enable(RCU_CRC); gpio_bit_set(GPIOB, GPIO_PIN_5); dma_parameter_struct dma_init_struct; while(1) { // if(++Tx_Delay >= 0x300) // { // Tx_Delay=0; // usart_dma_transmit_config(UART3, USART_DENT_DISABLE); // dma_channel_disable(DMA1, DMA_CH2); //¹Ø±ÕRx // dma_channel_enable(DMA1, DMA_CH2); // usart_dma_transmit_config(UART3, USART_DENT_ENABLE); //6E 32 2E 76 61 6C 3D 31 32 33 ff ff ff delay_1ms(500); if(rxflag) { rxflag=0; dma_parameter_struct dma_init_struct; rcu_periph_clock_enable(RCU_DMA0); //¿ªÊ±ÖÓ dma_deinit(DMA0, DMA_CH3); //³õʼ»¯Í¨µÀ3 dma_init_struct.direction = DMA_MEMORY_TO_PERIPHERAL; //ÄÚ´æµ½ÍâÉè dma_init_struct.memory_addr = (uint32_t)&MyBuffRxUart3[0]; //¶¨Ò建³åÇøhostMainControl Uart3transmitt_buff dma_init_struct.memory_inc = DMA_MEMORY_INCREASE_ENABLE; // dma_init_struct.memory_width = DMA_MEMORY_WIDTH_8BIT; //8λλ¿í dma_init_struct.number = 20;//ARRAYNUM(transmitter_buffer); //ÕâÀïÊÇ·¢ËÍÊý¾ÝµÄÊýÁ¿ dma_init_struct.periph_addr = ((uint32_t)0x40013804); //´®¿ÚµØÖ· dma_init_struct.periph_inc = DMA_PERIPH_INCREASE_DISABLE; //¶¨¼Ä´æÆ÷ dma_init_struct.periph_width = DMA_PERIPHERAL_WIDTH_8BIT; //8λλ¿í dma_init_struct.priority = DMA_PRIORITY_ULTRA_HIGH; //×î¸ßÓÅÏȼ¶ dma_init(DMA0, DMA_CH3, &dma_init_struct); dma_circulation_disable(DMA0, DMA_CH3); dma_channel_enable(DMA0, DMA_CH3); } 中断如下： extern void RX0_DMAquest_StartOrInit(void); extern uint8_t rxflag; extern dma_parameter_struct dma_data_parameter; void USART0_IRQHandler(void) { uint32_t clear; if(RESET != usart_interrupt_flag_get(USART0, USART_INT_FLAG_TC)) //·¢ËÍcomplete±ê־λΪ1 { /* transmit data */ usart_flag_clear(USART0, USART_FLAG_TC); dma_channel_disable(DMA0, DMA_CH3); // usart_interrupt_enable(USART0, USART_INT_IDLE); //¿ÕÏÐÖÐ¶Ï // usart_interrupt_disable(USART0, USART_INT_TC); //·¢ËÍÍê³ÉÖÐ¶Ï dma_channel_enable(DMA0, DMA_CH3); gpio_bit_reset(GPIOB, GPIO_PIN_5); //µãÁÁLED } if(RESET != usart_interrupt_flag_get(USART0, USART_INT_FLAG_IDLE)) //·¢ËÍnuLL±ê־λΪ1 { dma_channel_disable(DMA0, DMA_CH4); clear= USART_STAT0(USART0); clear = USART_DATA(USART0); usart_receive_config(USART0, USART_RECEIVE_ENABLE); //½ÓÊÕʹÄÜ usart_dma_receive_config(USART0, USART_DENR_ENABLE); RX0_DMAquest_StartOrInit(); dma_channel_enable(DMA0, DMA_CH4); // usart_interrupt_disable(USART0, USART_INT_IDLE); //¿ÕÏÐÖÐ¶Ï // usart_interrupt_enable(USART0, USART_INT_TC); //·¢ËÍÍê³ÉÖÐ¶Ï rxflag=1; } }

#include #include ............. float xa,xb,xc; void main(void) { xb=0.1; xc=0.1; xa=xb*xc; →这一步仿真无法通过，卡在了浮点变量的计算，哪位大侠给指点一下？谢谢。 ........ }

[i=s] 本帖最后由 小炎宇 于 2024-9-30 12:38 编辑 [/i] 在使用GD32F470的ADC0和ADC2分别采集数据，并使能DMA传输数据时，发现采集到4个通道的数据，总会有一个通道的数据是0.但每次采集数据为0的通道并不固定，于是放大了DMA存储数据的目标地址缓冲区大小，发现，通道数据为0的位置已经固定且很有规律，不知道是哪里配置的问题，adc初始化时选择的模式是“全部ADC规则并行模式”（因为工程的宏中没有ADC0与ADC2规则并行模式），想请问出现这种情况是否是，把未使能的ADC1的通道数据也算上了，导致每次采集数据，三个通道轮番采集了一遍，还是说数据存储格式有问题，烦请各位大佬帮忙查看一下，下面是初始化代码和采集到的数据的现象。代码： uint16_t ga_adc_dmabuf[ADC_SAMPLE_CH_BUTT] = {0}; //ADC_SAMPLE_CH_BUTT原本为4，现在为6 void dma_config (void) { /* ADC_DMA_channel configuration */ dma_single_data_parameter_struct dma_data_parameter; /* enable DMA1 clock */ rcu_periph_clock_enable (RCU_DMA1); dma_deinit (DMA1, DMA_CH0); /* initialize DMA single data mode */ dma_data_parameter.periph_addr = (uint32_t) (&ADC_SYNCDATA); dma_data_parameter.periph_inc = DMA_PERIPH_INCREASE_DISABLE; dma_data_parameter.memory0_addr = (uint32_t)ga_adc_dmabuf; dma_data_parameter.memory_inc = DMA_MEMORY_INCREASE_ENABLE; dma_data_parameter.periph_memory_width = DMA_PERIPH_WIDTH_16BIT; dma_data_parameter.circular_mode = DMA_CIRCULAR_MODE_ENABLE; dma_data_parameter.direction = DMA_PERIPH_TO_MEMORY; dma_data_parameter.number = ADC_SAMPLE_CH_BUTT;//现在扩大为6，原本只采集4个 dma_data_parameter.priority = DMA_PRIORITY_HIGH; dma_single_data_mode_init (DMA1, DMA_CH0, &dma_data_parameter); /* DMA channel 0 peripheral select */ dma_channel_subperipheral_select (DMA1, DMA_CH0, DMA_SUBPERI0); /* enable DMA channel */ dma_channel_enable (DMA1, DMA_CH0); } int cal_adc_init (void) { rcu_periph_clock_enable (RCU_GPIOB); rcu_periph_clock_enable (RCU_GPIOF); cal_gpio_init (GPIOB, GPIO_PIN_0, GPIO_MODE_ANALOG, GPIO_PUPD_NONE, 0); cal_gpio_init (GPIOB, GPIO_PIN_1, GPIO_MODE_ANALOG, GPIO_PUPD_NONE, 0); cal_gpio_init (GPIOF, GPIO_PIN_6, GPIO_MODE_ANALOG, GPIO_PUPD_NONE, 0); cal_gpio_init (GPIOF, GPIO_PIN_7, GPIO_MODE_ANALOG, GPIO_PUPD_NONE, 0); /* enable ADC clock */ rcu_periph_clock_enable (RCU_ADC0); rcu_periph_clock_enable (RCU_ADC2); adc_clock_config (ADC_ADCCK_PCLK2_DIV4); adc_deinit(); adc_sync_mode_config (ADC_ALL_ROUTINE_PARALLEL); adc_sync_dma_config(ADC_SYNC_DMA_MODE0); adc_sync_dma_request_after_last_enable(); /* ADC data alignment config */ adc_data_alignment_config (ADC0, ADC_DATAALIGN_RIGHT); adc_data_alignment_config (ADC2, ADC_DATAALIGN_RIGHT); /* ADC SCAN function enable */ adc_special_function_config (ADC0, ADC_SCAN_MODE, ENABLE); adc_special_function_config (ADC2, ADC_SCAN_MODE, ENABLE); /* ADC channel length config */ adc_channel_length_config (ADC0, ADC_ROUTINE_CHANNEL, 2); adc_channel_length_config (ADC2, ADC_ROUTINE_CHANNEL, 2); /* ADC routine channel config */ adc_routine_channel_config(ADC0, 0, ADC_CHANNEL_8, ADC_SAMPLETIME_15); adc_routine_channel_config(ADC0, 1, ADC_CHANNEL_9, ADC_SAMPLETIME_15); adc_routine_channel_config(ADC2, 0, ADC_CHANNEL_4, ADC_SAMPLETIME_15); adc_routine_channel_config(ADC2, 1, ADC_CHANNEL_5, ADC_SAMPLETIME_15); /* ADC external trigger enable */ adc_external_trigger_config(ADC0,ADC_ROUTINE_CHANNEL,EXTERNAL_TRIGGER_RISING); adc_external_trigger_config(ADC2,ADC_ROUTINE_CHANNEL,EXTERNAL_TRIGGER_DISABLE); adc_external_trigger_source_config(ADC0,ADC_ROUTINE_CHANNEL,ADC_EXTTRIG_ROUTINE_T1_CH1); /* enable ADC interface */ adc_enable(ADC0); /* wait for ADC stability */ cal_time_system_sleep_ms(1); /* ADC calibration and reset calibration */ adc_calibration_enable(ADC0); /* enable ADC interface */ adc_enable(ADC2); /* wait for ADC stability */ cal_time_system_sleep_ms(1); /* ADC calibration and reset calibration */ adc_calibration_enable(ADC2); return 0; } 采集出来的数据现象： [img]file:///C:/Users/z01454/Documents/WXWork/1688857742517246/Cache/Image/2024-09/企业微信截图_17276583127832.png[/img]

[align=left][font=Arial, Helvetica, sans-serif][size=12px]在DSP28335中，用的是CCS6.2，在main.c中首先包含了math.h，如下：[/size][/font][/align][align=left][font=Arial, Helvetica, sans-serif][size=12px][img=0,240]https://e2echina.ti.com/resized-image/__size/640x480/__key/communityserver-components-multipleuploadfilemanager/ce4c46aa_2D00_a133_2D00_464f_2D00_9d6b_2D00_3630b2ccaa04-154057-complete/pastedimage1726107940466v1.png[/img]，[/size][/font][/align][align=left][font=Arial, Helvetica, sans-serif][size=12px]然后在main.c中，调用sin，cos，atan，mod等函数都可以正常编译并使用，但是当调用trunc取整函数的时候编译报错，取整类函数ceil也不能使用，报错，如下：[/size][/font][/align][align=left][font=Arial, Helvetica, sans-serif][size=12px][img=0,240]https://e2echina.ti.com/resized-image/__size/640x480/__key/communityserver-components-multipleuploadfilemanager/ce4c46aa_2D00_a133_2D00_464f_2D00_9d6b_2D00_3630b2ccaa04-154057-complete/pastedimage1726108090161v2.png[/img]，[/size][/font][/align][align=left][font=Arial, Helvetica, sans-serif][size=12px][img=0,240]https://e2echina.ti.com/resized-image/__size/640x480/__key/communityserver-components-multipleuploadfilemanager/ce4c46aa_2D00_a133_2D00_464f_2D00_9d6b_2D00_3630b2ccaa04-154057-complete/pastedimage1726108126944v3.png[/img]，[/size][/font][/align][align=left][font=Arial, Helvetica, sans-serif][size=12px]然后我的具体调用如下，并更换了多种形式，仍然报错，只要把trunc函数换了就不报错了，[/size][/font][/align][align=left][font=Arial, Helvetica, sans-serif][size=12px][img=0,240]https://e2echina.ti.com/resized-image/__size/640x480/__key/communityserver-components-multipleuploadfilemanager/ce4c46aa_2D00_a133_2D00_464f_2D00_9d6b_2D00_3630b2ccaa04-154057-complete/pastedimage1726108235827v4.png[/img][/size][/font][/align][align=left][font=Arial, Helvetica, sans-serif][size=12px]我检查了math.h中是否包含了trunc，确认包含了，[/size][/font][/align][align=left][font=Arial, Helvetica, sans-serif][size=12px][img=0,240]https://e2echina.ti.com/resized-image/__size/640x480/__key/communityserver-components-multipleuploadfilemanager/ce4c46aa_2D00_a133_2D00_464f_2D00_9d6b_2D00_3630b2ccaa04-154057-complete/pastedimage1726108337401v5.png[/img]，[/size][/font][/align][align=left][font=Arial, Helvetica, sans-serif][size=12px]然后math.h调用以及文件所在是安装ccs时候默认的，如下：[/size][/font][/align][align=left][font=Arial, Helvetica, sans-serif][size=12px][img=0,240]https://e2echina.ti.com/resized-image/__size/640x480/__key/communityserver-components-multipleuploadfilemanager/ce4c46aa_2D00_a133_2D00_464f_2D00_9d6b_2D00_3630b2ccaa04-154057-complete/pastedimage1726108452046v8.png[/img]，[/size][/font][/align][align=left][font=Arial, Helvetica, sans-serif][size=12px]里面包含了math.h，然后我在lib中配置如下：[/size][/font][/align][align=left][font=Arial, Helvetica, sans-serif][size=12px][img=0,240]https://e2echina.ti.com/resized-image/__size/640x480/__key/communityserver-components-multipleuploadfilemanager/ce4c46aa_2D00_a133_2D00_464f_2D00_9d6b_2D00_3630b2ccaa04-154057-complete/pastedimage1726108520352v9.png[/img]。[/size][/font][/align][align=left][font=Arial, Helvetica, sans-serif][size=12px]请教大佬和专业工程师，我这报错，不能编译是什么原因？[/size][/font][/align]

使用max9286+max96701这套方案，驱动配置完成后，四路摄像头均有图像输出，但是图像是重叠在一起。请问要如何才能正常拼图？

[img]https://bbs.21ic.com/data/attachment/forum/201511/10/135110d45xy081oo1dv1u5.gif.thumb.jpg[/img]

使用官方的库函数，ADC2根本无法初始化dma_parameter_struct dma_data_parameter; rcu_periph_clock_enable(RCU_GPIOF); rcu_periph_clock_enable(RCU_ADC2); rcu_periph_clock_enable(RCU_DMA1); /*配置PF*/ gpio_init(GPIOF, GPIO_MODE_AIN, GPIO_OSPEED_50MHZ, GPIO_PIN_7|GPIO_PIN_8|GPIO_PIN_9|GPIO_PIN_10); /* ADC DMA_channel configuration */ dma_deinit(DMA1, DMA_CH4); /* initialize DMA single data mode */ dma_data_parameter.periph_addr = (uint32_t)(&ADC_RDATA(ADC2)); dma_data_parameter.periph_inc = DMA_PERIPH_INCREASE_DISABLE; dma_data_parameter.memory_addr = (uint32_t)(&ADC2_ConvertedValue); dma_data_parameter.memory_inc = DMA_MEMORY_INCREASE_ENABLE; dma_data_parameter.periph_width = DMA_PERIPHERAL_WIDTH_16BIT; dma_data_parameter.memory_width = DMA_MEMORY_WIDTH_16BIT; dma_data_parameter.direction = DMA_PERIPHERAL_TO_MEMORY; dma_data_parameter.number = M1*N1; dma_data_parameter.priority = DMA_PRIORITY_HIGH; dma_init(DMA1, DMA_CH4, &dma_data_parameter); dma_circulation_enable(DMA1, DMA_CH4); /* enable DMA channel */ dma_channel_enable(DMA1, DMA_CH4); /*ADC配置*/ adc_deinit(ADC2); /* ADC mode config */ adc_mode_config(ADC_MODE_FREE); /* ADC contineous function enable */ adc_special_function_config(ADC2, ADC_CONTINUOUS_MODE, ENABLE); /* ADC scan mode disable */ adc_special_function_config(ADC2, ADC_SCAN_MODE, ENABLE); /* ADC data alignment config */ adc_data_alignment_config(ADC2, ADC_DATAALIGN_RIGHT); /* ADC channel length config */ adc_channel_length_config(ADC2, ADC_REGULAR_CHANNEL, M1); /*ADC0规则通道配置*/ adc_regular_channel_config(ADC2, 0, ADC_CHANNEL_7, ADC_SAMPLETIME_239POINT5); adc_regular_channel_config(ADC2, 1, ADC_CHANNEL_8, ADC_SAMPLETIME_239POINT5); adc_regular_channel_config(ADC2, 2, ADC_CHANNEL_6, ADC_SAMPLETIME_239POINT5); adc_regular_channel_config(ADC2, 3, ADC_CHANNEL_5, ADC_SAMPLETIME_239POINT5); /* ADC trigger config */ adc_external_trigger_source_config(ADC2, ADC_REGULAR_CHANNEL, ADC0_1_2_EXTTRIG_REGULAR_NONE); adc_external_trigger_config(ADC2, ADC_REGULAR_CHANNEL, ENABLE); /* enable ADC interface */ adc_enable(ADC2); delay_ms(1); /* ADC calibration and reset calibration */ adc_calibration_enable(ADC2); /* ADC DMA function enable */ adc_dma_mode_enable(ADC2); /* ADC software trigger enable */ adc_software_trigger_enable(ADC2, ADC_REGULAR_CHANNEL);

STM32F105RC USB 配置成Mass Storage Class，插上U盘，一直在SOF这里中断，请问是什么原因，谢谢！[img]data:image/png;base64,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**g5DTZeKc6DqjQLPu0bOY96cUnbyB99hnhBBCqlCsrWTgnjQ3Dy9LkY+A+4wQQj6eYfj/Y/J4O+UQaxUAAAAASUVORK5CYII=[/img] 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**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**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**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**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产品型号 GD32F10X_CL 在哪个文件内定义的？ gd32f10x_gpio.h 有如下代码，但搞不清楚GD32F10X_CL 在哪里定义过？ #ifdef GD32F10X_CL #define GPIO_CAN0_PARTIAL_REMAP ((uint32_t)0x001D4000U) /*!< CAN0 partial remapping(only for GD32F10X_CL devices) */ #define GPIO_CAN0_FULL_REMAP ((uint32_t)0x001D6000U) /*!< CAN0 full remapping(only for GD32F10X_CL devices) */ #define GPIO_ENET_REMAP ((uint32_t)0x00200020U) /*!< ENET remapping(only for GD32F10X_CL devices) */ #define GPIO_CAN1_REMAP ((uint32_t)0x00200040U) /*!< CAN1 remapping(only for GD32F10X_CL devices) */ #define GPIO_TIMER1ITI1_REMAP ((uint32_t)0x00202000U) /*!< TIMER1 internal trigger 1 remapping(only for GD32F10X_CL devices) */ #define GPIO_PTP_PPS_REMAP ((uint32_t)0x00204000U) /*!< ethernet PTP PPS remapping(only for GD32F10X_CL devices) */ #endif /* GD32F10X_CL */

采用的是TIM+DMA的转运方式，高速模式，周期为1.25us，发送的是24*3bit的数据，数据内容全为0xF0，看波形上完全一致，但是，测量DO和其他引脚没有输出，VDD接的5V，有没有大佬知道这是什么原因，教教我[img]data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABcsAAACNCAYAAABorSIAAAAgAElEQVR4Ae19sY4ryZXsePsZY0j+EHiOfHkDLB4gp4011pK9AmQR0D/sgwYCBDprPTx9gRbgL8jWbDuCPoNmPWQVgwxG52Fnnspu3maFMeDJrDhxTiWjs6qja+p+9/33v5j8n9fAGrAGrIEtaeD3019P/z397vtf3tn/72Hk2I9/mn6+8N07drvGv/vrafr5p3+99FDGp9PyH89bm7fr5vXwelgD1oA1YA1YA9aANfCVNSD3y1VP5h5GjrXei//uv6fT5Z69rN+/Tj/9fJr++rvldwLfi39lTX293v/lX/5l+uGHH/yf1+Cb1MB3vsh+vU3F35m/M2vAGlinAbnBrt2gl5***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***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***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***stZi463YW5lvudor8hwOcc6swaeRwO9ZvnhFUb38pT48sT4YigvT4gv/wjmPWP3njGuBvY9nhHH5l5mA395dzib2EsveKf47etQ7h1js7z0iNe7LGv1vlk+v76Feprfb05Pp48476/CYbP8jlHqjfh5NuLsdxnd3PE8x1yH5zlegym5zMXxGt41PNoT+lBOHddwozDa0yjeUTw4d+2zNgaWa3OM45qbwWRyUJ9zOcbxTH9RrnIBp3V1XMP1YiK89hTheJ5j9JbhiXKVCzitq+MarhfTgo/60/kWrhYMzivDrzng0ro6ruEYwzGwWivCtOI4n+PeepzLMfO4p/5rtK4ZryevM8ePwmiv7slmOWvRsX9vijQQ7RUR3vPWkjWwDQ30muU35u/ZwMWT0DDOF7O3mMvX163U/0**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***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[/img]

make: *** No rule to make target 'make', needed by '.build-impl'. Stop.MPLAB 中出现这种问题应该如何解决，请教各位大佬

你好， 我想在独立环境下编译i.mx93的uboot内核。根据指导手册，需要首先编译生成交叉编译工具的SDK。但是在执行过程中出现错误。下面我将简要说明我的过程： 1、DISTRO=fsl-imx-wayland MACHINE=imx93-11x11-lpddr4x-evk source imx-setup-release.sh -b build-wayland 2、DISTRO=fsl-imx-wayland MACHINE=imx93-11x11-lpddr4x-evk bitbake core-image-minimal -c populate_sdk 在执行第2步的过程中报错，错误信息如下： | {standard input}: Assembler messages: | {standard input}:68284: Warning: end of file not at end of a line; newline inserted | {standard input}: Error: invalid operands (.text and *UND* sections) for `-' | {standard input}: Error: .size expression for _Z24gen_ior_one_cmpl_ashlsi3P7rtx_defS0_S0_S0_ does not evaluate to a constant | aarch64-poky-linux-g++: fatal error: Killed signal terminated program cc1plus | compilation terminated. | make[1]: *** [Makefile:1144: insn-emit.o] Error 1 | make[1]: *** Waiting for unfinished jobs.... | rm gcc.pod | make[1]: Leaving directory '/home/zh/imx-yocto-bsp/build-wayland/tmp/work/armv8a-poky-linux/gcc/12.3.0-r0/gcc-12.3.0/build.aarch64-poky-linux.aarch64-poky-linux/gcc' | make: *** [Makefile:4619: all-gcc] Error 2 | ERROR: oe_runmake failed | WARNING: exit code 1 from a shell command. ERROR: Task (/home/zh/imx-yocto-bsp/sources/poky/meta/recipes-devtools/gcc/gcc_12.3.bb:do_compile) failed with exit code '1' NOTE: Tasks Summary: Attempted 4084 tasks of which 3801 didn't need to be rerun and 1 failed. Summary: 1 task failed: /home/zh/imx-yocto-bsp/sources/poky/meta/recipes-devtools/gcc/gcc_12.3.bb:do_compile Summary: There were 2 ERROR messages, returning a non-zero exit code. 也就在在编译gcc工具时出错

报如下错误。 我从控制面板卸载了mplab和xc8后再重装到C盘，依然报同样的错误。这学期学习要用到这个软件，求大佬们救救orzmake -f nbproject/Makefile-default.mk SUBPROJECTS= .build-conf nbproject/Makefile-default.mk:138: *** missing separator. Stop. make: *** [.build-impl] Error 2 make[1]: Entering directory 'D:/HuaweiMoveData/Users/luo/Desktop/ǰ4��ppt��ʾ������/ǰ4��ppt��ʾ������/EX1.X' make[1]: Leaving directory 'D:/HuaweiMoveData/Users/luo/Desktop/ǰ4��ppt��ʾ������/ǰ4��ppt��ʾ������/EX1.X' nbproject/Makefile-impl.mk:39: recipe for target '.build-impl' failed

GD32E230的MCU分配heap空间异常，map文件中堆和栈的地址是相同的，程序调用malloc函数会运行不正常，有人遇到过吗