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cubemax ai转换 stm32h7

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xiaoyao12138 回答时间：2020-12-8 17:26

[#ftl] [#assign useAI_SYSTEM_PERFORMANCE = false] [#assign useAI_VALIDATION = false] [#assign useAI_TEMPLATE = false] [#assign useAI_BSP = false] [#if RTEdatas??] [#list RTEdatas as define] [#if define?contains("AI_SYSTEM_PERFORMANCE")] [#assign useAI_BSP = true] [#assign useAI_SYSTEM_PERFORMANCE = true] [/#if] [#if define?contains("AI_VALIDATION")] [#assign useAI_BSP = true] [#assign useAI_VALIDATION = true] [/#if] [#if define?contains("AI_ApplicationTemplate")] [#assign useAI_BSP = false] [#assign useAI_TEMPLATE = true] [/#if] [/#list] [/#if] [#assign useAI_RELOC = false] [#attempt] [#list configs as config] [#assign ModelNameList = config.peripheralParams.get("STMicroelectronics.X-CUBE-AI.5.2.0").get("ModelNameList").split(",")] [#assign InitF = config.peripheralParams.get("STMicroelectronics.X-CUBE-AI.5.2.0").get("initFunctions")] [#if config.peripheralParams.get("STMicroelectronics.X-CUBE-AI.5.2.0").get("relocatableNetwork")??] [#assign useAI_RELOC = true] [/#if] [#if InitF??] [#assign InitFunctions = InitF.split(":")] [/#if] [#assign NETWORK = ModelNameList[0]?upper_case] [/#list] [#recover] [/#attempt] #ifdef __cplusplus extern "C" { #endif /** ****************************************************************************** * @file : app_x-cube-ai.c * @brief : AI program body ****************************************************************************** * This notice applies to any and all portions of this file * that are not between comment pairs USER CODE BEGIN and * USER CODE END. Other portions of this file, whether * inserted by the user or by software development tools * are owned by their respective copyright owners. * * Copyright (c) 2018 STMicroelectronics International N.V. * All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted, provided that the following conditions are met: * * 1. Redistribution of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * 2. Redistributions in binary form must reproduce the above copyright notice, * this list of conditions and the following disclaimer in the documentation * and/or other materials provided with the distribution. * 3. Neither the name of STMicroelectronics nor the names of other * contributors to this software may be used to endorse or promote products * derived from this software without specific written permission. * 4. This software, including modifications and/or derivative works of this * software, must execute solely and exclusively on microcontroller or * microprocessor devices manufactured by or for STMicroelectronics. * 5. Redistribution and use of this software other than as permitted under * this license is void and will automatically terminate your rights under * this license. * * THIS SOFTWARE IS PROVIDED BY STMICROELECTRONICS AND CONTRIBUTORS "AS IS" * AND ANY EXPRESS, IMPLIED OR STATUTORY WARRANTIES, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A * PARTICULAR PURPOSE AND NON-INFRINGEMENT OF THIRD PARTY INTELLECTUAL PROPERTY * RIGHTS ARE DISCLAIMED TO THE FULLEST EXTENT PERMITTED BY LAW. IN NO EVENT * SHALL STMICROELECTRONICS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, * OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF * LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING * NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, * EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * ****************************************************************************** */ [#if useAI_TEMPLATE] [#if useAI_RELOC] /* * Description * v1.0 - Basic template to show how to instantiate a relocatable binary * model. Only one input and one output is supported. It illustrates * how to use the ai_rel_network_XXX() API. * Re-target of the printf function is out-of-scope. * [#else] /* * Description * v1.0 - Minimum template to show how to use the Embedded Client API * model. Only one input and one output is supported. All * memory resources are allocated statically (AI_NETWORK_XX, defines * are used). * Re-target of the printf function is out-of-scope. * [/#if] * For more information, see the embeded documentation: * * [1] %X_CUBE_AI_DIR%/Documentation/index.html * * X_CUBE_AI_DIR indicates the location where the X-CUBE-AI pack is installed * typical : C:%users\\STM32Cube\Repository\STMicroelectronics\X-CUBE-AI\5.2.0 */ [/#if] /* Includes ------------------------------------------------------------------*/ /* System headers */ #include #include #include #include #include #include "app_x-cube-ai.h" [#if useAI_BSP] #include "bsp_ai.h" [#else] #include "main.h" [/#if] [#if useAI_SYSTEM_PERFORMANCE] #include "aiSystemPerformance.h" [/#if] [#if useAI_VALIDATION] #include "aiValidation.h" [/#if] #include "ai_datatypes_defines.h" /* USER CODE BEGIN includes */ /* USER CODE END includes */ [#if useAI_TEMPLATE] [#if useAI_RELOC] #include /* Global AI objects */ static ai_handle ${ModelNameList[0]} = AI_HANDLE_NULL; static ai_network_report ${ModelNameList[0]}_info; static ai_rel_network_info ${ModelNameList[0]}_rt_info; static void ai_log_err(const ai_error err, const char *fct) { /* USER CODE BEGIN 0 */ if (fct) printf("TEMPLATE - Error (%s) - type=0x%02x code=0x%02x\r\n", fct, err.type, err.code); else printf("TEMPLATE - Error - type=0x%02x code=0x%02x\r\n", err.type, err.code); do {} while (1); /* USER CODE END 0 */ } static int ai_boostrap(const uint8_t *obj, uint8_t *ram_addr, ai_size ram_sz, ai_handle w_addr, ai_handle act_addr) { ai_error err; ai_handle weights_addr; /* 1 - Create an instance (XIP mode)*/ err = ai_rel_network_load_and_create(obj, ram_addr, ram_sz, AI_RELOC_RT_LOAD_MODE_XIP, &${ModelNameList[0]}); if (err.type != AI_ERROR_NONE) { ai_log_err(err, "ai_rel_network_load_and_create"); return -1; } /* 2 - Initialize the created instance */ if (${ModelNameList[0]}_rt_info.weights) weights_addr = ${ModelNameList[0]}_rt_info.weights; else weights_addr = w_addr; if (!ai_rel_network_init(${ModelNameList[0]}, weights_addr, act_addr)) { err = ai_rel_network_get_error(${ModelNameList[0]}); ai_log_err(err, "ai_rel_network_init"); ai_rel_network_destroy(${ModelNameList[0]}); ${ModelNameList[0]} = AI_HANDLE_NULL; return -2; } /* 3 - Retrieve the network info of the created instance */ if (!ai_rel_network_get_info(${ModelNameList[0]}, &${ModelNameList[0]}_info)) { err = ai_rel_network_get_error(${ModelNameList[0]}); ai_log_err(err, "ai_rel_network_get_info"); ai_rel_network_destroy(${ModelNameList[0]}); ${ModelNameList[0]} = AI_HANDLE_NULL; return -3; } return 0; } static int ai_run(void *data_in, void *data_out) { ai_i32 batch; ai_buffer *ai_input = ${ModelNameList[0]}_info.inputs; ai_buffer *ai_output = ${ModelNameList[0]}_info.outputs; ai_input[0].data = AI_HANDLE_PTR(data_in); ai_output[0].data = AI_HANDLE_PTR(data_out); batch = ai_rel_network_run(${ModelNameList[0]}, ai_input, ai_output); if (batch != 1) { ai_log_err(ai_rel_network_get_error(${ModelNameList[0]}), "ai_rel_network_run"); return -1; } return 0; } /* USER CODE BEGIN 2 */ int acquire_and_process_data(void * data) { return 0; } int post_process(void * data) { return 0; } /* USER CODE END 2 */ /* USER CODE BEGIN 10 */ /* * The following code is based on the generated/specific * network_img_rel.h/.c files. These files include a * image of the relocatable binary image as a * C-table which is included in the firmware image. * This is a facility to use the model. * * For a normal case with the end-user application which * requires the capability to update the model w/o * re-flash the whole firmware (FOTA-like mechanism), * the BIN_ADDRESS should be provided by the APP module in charge * to update the model. It can be a fixed address. * The requested RT RAM buffer (RAM_RT_ADDRESS/RAM_RT_SIZE) * to instantiate the network can be also fixed or dynamically * allocated. As for the management of the * activations buffer, the sizes of the RT RAM and the activations * buffer are model dependent. */ /* Include the image of the relocatable network */ #include #define BIN_ADDRESS ai_${ModelNameList[0]}_reloc_img_get() /* Allocate the rt ram buffer to install a model * - it should be aligned on 4-bytes */ AI_ALIGNED(4) uint8_t reloc_rt_ram[AI_${NETWORK}_RELOC_RAM_SIZE_XIP]; #define RAM_RT_ADDRESS reloc_rt_ram #define RAM_RT_SIZE AI_${NETWORK}_RELOC_RAM_SIZE_XIP /* Allocate the activations buffer to use the model * - it should be aligned on 4-bytes */ AI_ALIGNED(4) uint8_t activations[AI_${NETWORK}_RELOC_ACTIVATIONS_SIZE]; #define ACT_ADDR activations #define ACT_SIZE AI_${NETWORK}_RELOC_ACTIVATIONS_SIZE /* In the case where the weights are not included in the * binary object (generated in a separate file), the * @ should be passed to initialize the instance. * - it should be aligned on 4-bytes */ #define WEIGHTS_ADD 0 #define WEIGHTS_SIZE AI_${NETWORK}_RELOC_WEIGHTS_SIZE /* USER CODE END 10 */ [#else] /* Global AI objects */ static ai_handle ${ModelNameList[0]} = AI_HANDLE_NULL; static ai_network_report ${ModelNameList[0]}_info; /* Global c-array to handle the activations buffer */ AI_ALIGNED(4) static ai_u8 activations[AI_${NETWORK}_DATA_ACTIVATIONS_SIZE]; /* In the case where "--allocate-inputs" option is used, memory buffer can be * used from the activations buffer. This is not mandatory. */ #if !defined(AI_${NETWORK}_INPUTS_IN_ACTIVATIONS) /* Allocate data payload for input tensor */ AI_ALIGNED(4) static ai_u8 in_data_s[AI_${NETWORK}_IN_1_SIZE_BYTES]; #endif /* In the case where "--allocate-outputs" option is used, memory buffer can be * used from the activations buffer. This is no mandatory. */ #if !defined(AI_${NETWORK}_OUTPUTS_IN_ACTIVATIONS) /* Allocate data payload for the output tensor */ AI_ALIGNED(4) static ai_u8 out_data_s[AI_${NETWORK}_OUT_1_SIZE_BYTES]; #endif static void ai_log_err(const ai_error err, const char *fct) { /* USER CODE BEGIN 0 */ if (fct) printf("TEMPLATE - Error (%s) - type=0x%02x code=0x%02x\r\n", fct, err.type, err.code); else printf("TEMPLATE - Error - type=0x%02x code=0x%02x\r\n", err.type, err.code); do {} while (1); /* USER CODE END 0 */ } static int ai_boostrap(ai_handle w_addr, ai_handle act_addr) { ai_error err; /* 1 - Create an instance of the model */ err = ai_${ModelNameList[0]}_create(&${ModelNameList[0]}, AI_${NETWORK}_DATA_CONFIG); if (err.type != AI_ERROR_NONE) { ai_log_err(err, "ai_${ModelNameList[0]}_create"); return -1; } /* 2 - Initialize the instance */ const ai_network_params params = { AI_${NETWORK}_DATA_WEIGHTS(w_addr), AI_${NETWORK}_DATA_ACTIVATIONS(act_addr) }; if (!ai_${ModelNameList[0]}_init(${ModelNameList[0]}, &params)) { err = ai_${ModelNameList[0]}_get_error(${ModelNameList[0]}); ai_log_err(err, "ai_${ModelNameList[0]}_init"); return -1; } /* 3 - Retrieve the network info of the created instance */ if (!ai_${ModelNameList[0]}_get_info(${ModelNameList[0]}, &${ModelNameList[0]}_info)) { err = ai_${ModelNameList[0]}_get_error(${ModelNameList[0]}); ai_log_err(err, "ai_${ModelNameList[0]}_get_error"); ai_${ModelNameList[0]}_destroy(${ModelNameList[0]}); ${ModelNameList[0]} = AI_HANDLE_NULL; return -3; } return 0; } static int ai_run(void *data_in, void *data_out) { ai_i32 batch; ai_buffer *ai_input = ${ModelNameList[0]}_info.inputs; ai_buffer *ai_output = ${ModelNameList[0]}_info.outputs; ai_input[0].data = AI_HANDLE_PTR(data_in); ai_output[0].data = AI_HANDLE_PTR(data_out); batch = ai_${ModelNameList[0]}_run(${ModelNameList[0]}, ai_input, ai_output); if (batch != 1) { ai_log_err(ai_${ModelNameList[0]}_get_error(${ModelNameList[0]}), "ai_${ModelNameList[0]}_run"); return -1; } return 0; } /* USER CODE BEGIN 2 */ int acquire_and_process_data(void * data) { return 0; } int post_process(void * data) { return 0; } /* USER CODE END 2 */ [/#if] [/#if] /************************************************************************* * */ void ${fctName}(void) { [#if useAI_BSP] MX_UARTx_Init(); [/#if] [#if InitFunctions??] [#list InitFunctions as initFunction] [#if initFunction?has_content] [#if initFunction?ends_with(".ftl")] [#include initFunction] [#else] ${initFunction} [/#if] [/#if] [/#list] [/#if] [#if useAI_SYSTEM_PERFORMANCE] aiSystemPerformanceInit(); [/#if] [#if useAI_VALIDATION] aiValidationInit(); [/#if] /* USER CODE BEGIN 3 */ [#if useAI_TEMPLATE] [#if useAI_RELOC] ai_error err; printf("\r\nTEMPLATE RELOC - initialization\r\n"); err = ai_rel_network_rt_get_info(BIN_ADDRESS, &${ModelNameList[0]}_rt_info); if (err.type != AI_ERROR_NONE) { ai_log_err(err, "ai_rel_network_rt_get_info"); } else { /* USER CODE BEGIN 11 */ printf("Load a relocatable binary model, located at the address 0x%08x\r\n", (int)BIN_ADDRESS); printf(" model name : %s\r\n", ${ModelNameList[0]}_rt_info.c_name); printf(" weights size : %d bytes\r\n", (int)${ModelNameList[0]}_rt_info.weights_sz); printf(" activations size : %d bytes (minimum)\r\n", (int)${ModelNameList[0]}_rt_info.acts_sz); printf(" compiled for a Cortex-Mx : 0x%03X\r\n", (int)AI_RELOC_RT_GET_CPUID(${ModelNameList[0]}_rt_info.variant)); printf(" FPU should be enabled : %s\r\n", AI_RELOC_RT_FPU_USED(${ModelNameList[0]}_rt_info.variant)?"yes":"no"); printf(" RT RAM minimum size : %d bytes (%d bytes in COPY mode)\r\n", (int)${ModelNameList[0]}_rt_info.rt_ram_xip, (int)${ModelNameList[0]}_rt_info.rt_ram_copy); /* USER CODE END 11 */ ai_boostrap(BIN_ADDRESS, RAM_RT_ADDRESS, RAM_RT_SIZE, WEIGHTS_ADD, ACT_ADDR); } [#else] printf("\r\nTEMPLATE - initialization\r\n"); ai_boostrap(ai_${ModelNameList[0]}_data_weights_get(), activations); [/#if] [/#if] /* USER CODE END 3 */ } void ${fctProcessName}(void) { [#if useAI_SYSTEM_PERFORMANCE] aiSystemPerformanceProcess(); HAL_Delay(1000); /* delay 1s */ [/#if] [#if useAI_VALIDATION] aiValidationProcess(); [/#if] /* USER CODE BEGIN 4 */ [#if useAI_TEMPLATE] int res = -1; uint8_t *in_data = NULL; uint8_t *out_data = NULL; printf("TEMPLATE - run - main loop\r\n"); if (${ModelNameList[0]}) { if ((${ModelNameList[0]}_info.n_inputs != 1) || (${ModelNameList[0]}_info.n_outputs != 1)) { ai_error err = {AI_ERROR_INVALID_PARAM, AI_ERROR_CODE_OUT_OF_RANGE}; ai_log_err(err, "template code should be updated\r\n to support a model with multiple IO"); return; } /* 1 - Set the I/O data buffer */ [#if useAI_RELOC] const ai_buffer_format fmt_in = AI_BUFFER_FORMAT(&${ModelNameList[0]}_info.inputs[0]); const ai_u32 size_in = AI_BUFFER_BYTE_SIZE(AI_BUFFER_SIZE(&${ModelNameList[0]}_info.inputs[0]), fmt_in); const ai_buffer_format fmt_out = AI_BUFFER_FORMAT(&${ModelNameList[0]}_info.outputs[0]); const ai_u32 size_out = AI_BUFFER_BYTE_SIZE(AI_BUFFER_SIZE(&${ModelNameList[0]}_info.outputs[0]), fmt_out); /* In the case where "--allocate-inputs" option is used, memory buffer can be * used from the activations buffer. This is not mandatory. */ if (${ModelNameList[0]}_info.inputs[0].data) in_data = ${ModelNameList[0]}_info.inputs[0].data; else { in_data = malloc(size_in); } /* In the case where "--allocate-outputs" option is used, memory buffer can be * used from the activations buffer. This is no mandatory. */ if (${ModelNameList[0]}_info.outputs[0].data) out_data = ${ModelNameList[0]}_info.outputs[0].data; else { out_data = malloc(size_out); } [#else] #if AI_${NETWORK}_INPUTS_IN_ACTIVATIONS in_data = ${ModelNameList[0]}_info.inputs[0].data; #else in_data = in_data_s; #endif #if AI_${NETWORK}_OUTPUTS_IN_ACTIVATIONS out_data = ${ModelNameList[0]}_info.outputs[0].data; #else out_data = out_data_s; #endif [/#if] if ((!in_data) || (!out_data)) { printf("TEMPLATE - I/O buffers are invalid\r\n"); return; } /* 2 - main loop */ do { /* 1 - acquire and pre-process input data */ res = acquire_and_process_data(in_data); /* 2 - process the data - call inference engine */ if (res == 0) res = ai_run(in_data, out_data); /* 3- post-process the predictions */ if (res == 0) res = post_process(out_data); } while (res==0); } if (res) { ai_error err = {AI_ERROR_INVALID_STATE, AI_ERROR_CODE_NETWORK}; ai_log_err(err, "rocess has FAILED"); } [/#if] /* USER CODE END 4 */ } [#if ModelNameList?size > 1 || useAI_SYSTEM_PERFORMANCE || useAI_VALIDATION] /* Multiple network support --------------------------------------------------*/ #include #include "ai_datatypes_defines.h" static const ai_network_entry_t networks[AI_MNETWORK_NUMBER] = { [#list 0..ModelNameList?size-1 as i] [#assign NETWORK = ModelNameList?upper_case] { .name = (const char *)AI_${NETWORK}_MODEL_NAME, .config = AI_${NETWORK}_DATA_CONFIG, .ai_get_info = ai_${ModelNameList}_get_info, .ai_create = ai_${ModelNameList}_create, .ai_destroy = ai_${ModelNameList}_destroy, .ai_get_error = ai_${ModelNameList}_get_error, .ai_init = ai_${ModelNameList}_init, .ai_run = ai_${ModelNameList}_run, .ai_forward = ai_${ModelNameList}_forward, .ai_data_weights_get_default = ai_${ModelNameList}_data_weights_get, .params = { AI_${NETWORK}_DATA_WEIGHTS(0), AI_${NETWORK}_DATA_ACTIVATIONS(0)}, .extActBufferStartAddr = AI_${NETWORK}_DATA_ACTIVATIONS_START_ADDR, .actBufferSize = AI_${NETWORK}_DATA_ACTIVATIONS_SIZE }, [/#list] }; struct network_instance { const ai_network_entry_t *entry; ai_handle handle; ai_network_params params; }; /* Number of instance is aligned on the number of network */ AI_STATIC struct network_instance gnetworks[AI_MNETWORK_NUMBER] = {0}; AI_DECLARE_STATIC ai_bool ai_mnetwork_is_valid(const char* name, const ai_network_entry_t *entry) { if (name && (strlen(entry->name) == strlen(name)) && (strncmp(entry->name, name, strlen(entry->name)) == 0)) return true; return false; } AI_DECLARE_STATIC struct network_instance *ai_mnetwork_handle(struct network_instance *inst) { for (int i=0; iconfig); else err = found->ai_create(network, network_config); if ((err.code == AI_ERROR_CODE_NONE) && (err.type == AI_ERROR_NONE)) { inst->entry = found; inst->handle = *network; *network = (ai_handle*)inst; } return err; } AI_API_ENTRY ai_handle ai_mnetwork_destroy(ai_handle network) { struct network_instance *inn; inn = ai_mnetwork_handle((struct network_instance *)network); if (inn) { ai_handle hdl = inn->entry->ai_destroy(inn->handle); if (hdl != inn->handle) { ai_mnetwork_release_handle(inn); network = AI_HANDLE_NULL; } } return network; } AI_API_ENTRY ai_bool ai_mnetwork_get_info(ai_handle network, ai_network_report* report) { struct network_instance *inn; inn = ai_mnetwork_handle((struct network_instance *)network); if (inn) return inn->entry->ai_get_info(inn->handle, report); else return false; } AI_API_ENTRY ai_error ai_mnetwork_get_error(ai_handle network) { struct network_instance *inn; ai_error err; err.type = AI_ERROR_INVALID_PARAM; err.code = AI_ERROR_CODE_NETWORK; inn = ai_mnetwork_handle((struct network_instance *)network); if (inn) return inn->entry->ai_get_error(inn->handle); else return err; } AI_API_ENTRY ai_bool ai_mnetwork_init(ai_handle network, const ai_network_params* params) { struct network_instance *inn; ai_network_params par; /* TODO: adding check ai_buffer activations/weights shape coherence */ inn = ai_mnetwork_handle((struct network_instance *)network); if (inn) { par = inn->entry->params; if (params->activations.n_batches) par.activations = params->activations; else par.activations.data = params->activations.data; if (params->params.n_batches) par.params = params->params; else par.params.data = inn->entry->ai_data_weights_get_default(); return inn->entry->ai_init(inn->handle, &par); } else return false; } AI_API_ENTRY ai_i32 ai_mnetwork_run(ai_handle network, const ai_buffer* input, ai_buffer* output) { struct network_instance* inn; inn = ai_mnetwork_handle((struct network_instance *)network); if (inn) return inn->entry->ai_run(inn->handle, input, output); else return 0; } AI_API_ENTRY ai_i32 ai_mnetwork_forward(ai_handle network, const ai_buffer* input) { struct network_instance *inn; inn = ai_mnetwork_handle((struct network_instance *)network); if (inn) return inn->entry->ai_forward(inn->handle, input); else return 0; } AI_API_ENTRY int ai_mnetwork_get_private_handle(ai_handle network, ai_handle *phandle, ai_network_params *pparams) { struct network_instance* inn; inn = ai_mnetwork_handle((struct network_instance *)network); if (inn && phandle && pparams) { *phandle = inn->handle; *pparams = inn->params; return 0; } else return -1; } AI_API_ENTRY int ai_mnetwork_get_ext_data_activations(ai_handle network, ai_u32 *add, ai_u32 *size) { struct network_instance* inn; inn = ai_mnetwork_handle((struct network_instance *)network); if (inn && add && size) { *add = inn->entry->extActBufferStartAddr; *size = inn->entry->actBufferSize; return 0; } else return -1; } [/#if] #ifdef __cplusplus } #endif

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stm32f407 TIM输入捕获使用DMA获取pwm周期怎么配置？

加速度传感器 LIS2DS12TR

小歆-2051663 回答时间：2020-12-8 10:08

建议使用CubeMX配置

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请教F334的USART+DMA发送数据的问题

展会

牙子男男回答时间：2020-12-7 15:54

问题解决了，确实应该在串口发送完成中断里再反转流控制的IO，隔壁论坛找到了这样的描述 DMA中断时，只表示需要传送的所有数据字节全部传送到串口的发送数据寄存器中了。此时串口实际上还有2个字节并未发送完成，数据寄存器和移位寄存器中的2个字节还需要发送，并不能关闭串口发送。同理，如果是485切换方向，必须要等到发送完成，也就是移位寄存器发送完成-TC标志置位。

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