PSoC™ 6 Forum Discussions

Hello,
I have a project on PSoC 3 (CY8C3246PVI-147) that I would like to transport to PSoC 6 (CY8C6347BZI-BLD43), however, in the TopDesign of the project for PSoC 6 some components appear to be incompatible and I cannot find their counterparts in the component catalog. How can this be solved?
Thank you very much

 

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I keep getting the error in the image below anytime I try to program my PSoC 6. Normally in the dialog box, I have a selection which processor I want to pogram (M0 AND M4), now the dialog box is empty. I havent uninstalled or changed any setting so far. How do I fix it?

 

 

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I keep getting this error when I try to declare the srand function here. I already included <time.h>. How do I fix it?

 

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使用ML Configurator 2.0进行tflite类型的网络模型转换出现错误，错误日志如下，请求帮助 谢谢 C:/Users/86181/ModusToolbox/packs/ModusToolbox-Machine-Learning-Pack/tools/ml-coretools/ml-coretools.exe deploy --output D:/modustoolbox_test/Dual-CPU_Empty_PSoC6_App/proj_cm4/mtb_ml_gen --config D:/modustoolbox_test/Dual-CPU_Empty_PSoC6_App/proj_cm4/ml_coretools_config.json WARNING:tensorflow:AutoGraph is not available in this environment: functions lack code information. This is typical of some environments like the interactive Python shell. See https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/autograph/g3doc/reference/limitations.md#access-to-source-code for more information. [INFO] ml-coretools 2.0.0.5394 based on TensorFlow 2.8.2 ml-coretools-ifx-validation 2.0.0.3955 ml-coretools-middleware-streaming 2.0.0.3488 ml-coretools-tflm-qemu-images 2.0.0.1469 [INFO] Deploy mode (data and model) [INFO] JSON config file: D:\modustoolbox_test\Dual-CPU_Empty_PSoC6_App\proj_cm4\ml_coretools_config.json [INFO] Output directory: D:\modustoolbox_test\Dual-CPU_Empty_PSoC6_App\proj_cm4\mtb_ml_gen [INFO] Starting ml-coretools model converter... [INFO] Reading validation data configuration from the JSON file... [INFO] Loading tflite model D:\modustoolbox_test\Dual-CPU_Empty_PSoC6_App\pretrained_models\yolos.tflite ... [INFO] Loading tflite model D:\modustoolbox_test\Dual-CPU_Empty_PSoC6_App\pretrained_models\yolos.tflite through the interpreter... [INFO] Number of subgraphs is 1 [INFO] Parsing model to get task (classification or regression)... [INFO] Final activation of network is: NONE [INFO] Task is regression [INFO] 11 outputs/classes [INFO] Dataset features have total shape (1000, 3, 352, 352) [INFO] Dataset labels have total shape (1000, 1) [INFO] Inference engine: TFLM [INFO] Writing reference evaluation data to D:\modustoolbox_test\Dual-CPU_Empty_PSoC6_App\proj_cm4\mtb_ml_gen\info\YOLO1S_tflm_tflite_float_model_reference.txt... [INFO] Converting model for the reference evaluation... [INFO] Loading tflite model D:\modustoolbox_test\Dual-CPU_Empty_PSoC6_App\pretrained_models\yolos.tflite ... [INFO] Estimate cycle count of model ... [WARNING] Estimated cycle count in the report does not include the following operators: RESHAPE, PADV2, SOFTMAX, RESIZE_NEAREST_NEIGHBOR, PAD, GATHER, LOGISTIC, SPLIT [INFO] Evaluating required size of scratch memory (tensor arena) from D:\modustoolbox_test\Dual-CPU_Empty_PSoC6_App\pretrained_models\yolos.tflite ... [INFO] QEMU application: Will use IFX_MTBML_QEMU_PATH environment variable [INFO] QEMU application location C:\Program Files\qemu\qemu-system-arm.exe [INFO] QEMU application version: 6.2.0 [INFO] QEMU: Executing C:\Users\86181\ModusToolbox\packs\ModusToolbox-Machine-Learning-Pack\tools\ml-coretools\ml-coretools-tflm-qemu-images\tflm-qemu-model-mem-calc-cm4 [ERROR] Failed to run QEMU with tflm-qemu-model-mem-calc-cm4 Traceback (most recent call last): File "mtb_ml_qemu.py", line 166, in run File "subprocess.py", line 516, in run subprocess.CalledProcessError: Command '['C:\\Program Files\\qemu\\qemu-system-arm.exe', '-machine', 'mps2-an386', '-display', 'none', '-nographic', '-monitor', 'none', '-semihosting', '-semihosting-config', 'enable=on,target=native,arg="C:\\Users\\86181\\ModusToolbox\\packs\\ModusToolbox-Machine-Learning-Pack\\tools\\ml-coretools\\ml-coretools-tflm-qemu-images\\tflm-qemu-model-mem-calc-cm4",arg="-mD:\\modustoolbox_test\\Dual-CPU_Empty_PSoC6_App\\pretrained_models\\yolos.tflite",arg="-aD:\\modustoolbox_test\\Dual-CPU_Empty_PSoC6_App\\proj_cm4\\mtb_ml_gen\\info\\YOLO1S_tflm_float_tensor_arena_size.txt"', '-kernel', 'C:\\Users\\86181\\ModusToolbox\\packs\\ModusToolbox-Machine-Learning-Pack\\tools\\ml-coretools\\ml-coretools-tflm-qemu-images\\tflm-qemu-model-mem-calc-cm4']' returned non-zero exit status 1. [ERROR] ****************** TFL-micro Inference Arena Measure ****************** Model file: D:\modustoolbox_test\Dual-CPU_Empty_PSoC6_App\pretrained_models\yolos.tflite Result accuracy file: D:\modustoolbox_test\Dual-CPU_Empty_PSoC6_App\proj_cm4\mtb_ml_gen\info\YOLO1S_tflm_float_tensor_arena_size.txt Reading file "D:\modustoolbox_test\Dual-CPU_Empty_PSoC6_App\pretrained_models\yolos.tflite"... Read complete. File size = 204144 Loading model... tensorflow/lite/micro/kernels/concatenation.cc:143 num_inputs <= kMaxInputNum was not true. Node CONCATENATION (number 24f) failed to prepare with status 1 Tensor allocation failed FAILED: Model load error 1. [ERROR] 1 [ERROR] Deploy script returned with error: Command '['C:\\Program Files\\qemu\\qemu-system-arm.exe', '-machine', 'mps2-an386', '-display', 'none', '-nographic', '-monitor', 'none', '-semihosting', '-semihosting-config', 'enable=on,target=native,arg="C:\\Users\\86181\\ModusToolbox\\packs\\ModusToolbox-Machine-Learning-Pack\\tools\\ml-coretools\\ml-coretools-tflm-qemu-images\\tflm-qemu-model-mem-calc-cm4",arg="-mD:\\modustoolbox_test\\Dual-CPU_Empty_PSoC6_App\\pretrained_models\\yolos.tflite",arg="-aD:\\modustoolbox_test\\Dual-CPU_Empty_PSoC6_App\\proj_cm4\\mtb_ml_gen\\info\\YOLO1S_tflm_float_tensor_arena_size.txt"', '-kernel', 'C:\\Users\\86181\\ModusToolbox\\packs\\ModusToolbox-Machine-Learning-Pack\\tools\\ml-coretools\\ml-coretools-tflm-qemu-images\\tflm-qemu-model-mem-calc-cm4']' returned non-zero exit status 1. [INFO] The log file is located is D:/modustoolbox_test/Dual-CPU_Empty_PSoC6_App/proj_cm4/mtb_ml_gen\coretools_20230824093557.log. Traceback (most recent call last): File "mtb_ml_qemu.py", line 166, in run File "subprocess.py", line 516, in run subprocess.CalledProcessError: Command '['C:\\Program Files\\qemu\\qemu-system-arm.exe', '-machine', 'mps2-an386', '-display', 'none', '-nographic', '-monitor', 'none', '-semihosting', '-semihosting-config', 'enable=on,target=native,arg="C:\\Users\\86181\\ModusToolbox\\packs\\ModusToolbox-Machine-Learning-Pack\\tools\\ml-coretools\\ml-coretools-tflm-qemu-images\\tflm-qemu-model-mem-calc-cm4",arg="-mD:\\modustoolbox_test\\Dual-CPU_Empty_PSoC6_App\\pretrained_models\\yolos.tflite",arg="-aD:\\modustoolbox_test\\Dual-CPU_Empty_PSoC6_App\\proj_cm4\\mtb_ml_gen\\info\\YOLO1S_tflm_float_tensor_arena_size.txt"', '-kernel', 'C:\\Users\\86181\\ModusToolbox\\packs\\ModusToolbox-Machine-Learning-Pack\\tools\\ml-coretools\\ml-coretools-tflm-qemu-images\\tflm-qemu-model-mem-calc-cm4']' returned non-zero exit status 1. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "ml-coretools.py", line 167, in deploy File "deploy_script.py", line 90, in deploy_script File "deploy_script.py", line 182, in tflm_deploy File "tflite_converter\tflite_converter.py", line 551, in convert_tflite_model File "tflite_converter\tflite_converter.py", line 295, in generate_c_h_bin_files File "mtb_ml_qemu.py", line 178, in run Exception: Command '['C:\\Program Files\\qemu\\qemu-system-arm.exe', '-machine', 'mps2-an386', '-display', 'none', '-nographic', '-monitor', 'none', '-semihosting', '-semihosting-config', 'enable=on,target=native,arg="C:\\Users\\86181\\ModusToolbox\\packs\\ModusToolbox-Machine-Learning-Pack\\tools\\ml-coretools\\ml-coretools-tflm-qemu-images\\tflm-qemu-model-mem-calc-cm4",arg="-mD:\\modustoolbox_test\\Dual-CPU_Empty_PSoC6_App\\pretrained_models\\yolos.tflite",arg="-aD:\\modustoolbox_test\\Dual-CPU_Empty_PSoC6_App\\proj_cm4\\mtb_ml_gen\\info\\YOLO1S_tflm_float_tensor_arena_size.txt"', '-kernel', 'C:\\Users\\86181\\ModusToolbox\\packs\\ModusToolbox-Machine-Learning-Pack\\tools\\ml-coretools\\ml-coretools-tflm-qemu-images\\tflm-qemu-model-mem-calc-cm4']' returned non-zero exit status 1. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "ml-coretools.py", line 287, in File "click\core.py", line 1130, in __call__ File "click\core.py", line 1055, in main File "click\core.py", line 1657, in invoke File "click\core.py", line 1404, in invoke File "click\core.py", line 760, in invoke File "click\decorators.py", line 26, in new_func File "ml-coretools.py", line 176, in deploy Exception [17648] Failed to execute script 'ml-coretools' due to unhandled exception! Show Less

• BIN文件的生成

       1、拷贝需要生成BIN文件的HEX文件到对应的BIN文件夹里：

    2、修改RUN.bat文件的内容：Hex源文件名、起始地址和长度，并运行RUN插件生成对应的BIN文件

 

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Hello,

We are using the CY8CPROTO-062S3-4343W, 
For our application we are using the wifi just few seconds (4s) par days, 
To reduce power consumption I want to turn off the Wifi module (I don't use the BLE)

I'm working with the library WCM 3.X, I already try to use deinit function but I'm not sur if it's the proper way.

What is the good way to turn off completely the 4343W or to put-it in deep-sleep.

Thank you.

 

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问题:

            客户反馈采用PSoC6 +某品牌64Mbit QSPI Flash ,第一次上电时,无法正常通讯,导致整机无显示,死机

            再次上电正常工作

            如果将Flash 用 第三方烧录器Erase后,重复以上操作,可以复现以上现象

解决方案:     

            PSOC 6 SMIF 接口采用QSPI Configurator 进行相关地址以及指令设定

            Flash Erase 之后,第一次上电会对QE bit 进行初始化设定,以便使用QSPI 模式

            在cy_serial_flash_qspi.c程序中采用如下函数对管脚进行初始化

//--------------------------------------------------------------------------------------------------

// cy_serial_flash_qspi_init

//

// The driver supports only one memory. When multiple memory configurations are generated by the

// SMIF configurator tool, provide only the configuration for memory that need to be supported by

// the driver.  Memory configuration can be changed by deinit followed by init with new

// configuration

//--------------------------------------------------------------------------------------------------

cy_rslt_t cy_serial_flash_qspi_init(

    const cy_stc_smif_mem_config_t* mem_config,

    cyhal_gpio_t io0,

    cyhal_gpio_t io1,

    cyhal_gpio_t io2,

    cyhal_gpio_t io3,

    cyhal_gpio_t io4,

    cyhal_gpio_t io5,

    cyhal_gpio_t io6,

    cyhal_gpio_t io7,

    cyhal_gpio_t sclk,

    cyhal_gpio_t ssel,

uint32_t hz)

{ 

……

if ((CY_SMIF_SUCCESS == smif_status) && !isQuadEnabled)

{

  smif_status =Cy_SMIF_MemEnableQuadMode(qspi_obj.base,

                                                qspi_block_config.memConfig[MEM_SLOT],

                                                CY_SERIAL_FLASH_QUAD_ENABLE_TIMEOUT_US,

                                                &qspi_obj.context);

       }

……

       }

其中,红色字体定义如下

/** Timeout to apply while polling the memory for its ready status after quad

 *  enable command has been sent out. Quad enable is a non-volatile write.

 */

#define CY_SERIAL_FLASH_QUAD_ENABLE_TIMEOUT_US      (5000lu) // in microseconds(实际单位为 us)

 

请对照具体Flash 规格书进行超时调整即可

 

 

以上面为例,修改如下:

/** Timeout to apply while polling the memory for its ready status after quad

 *  enable command has been sent out. Quad enable is a non-volatile write.

 */

#define CY_SERIAL_FLASH_QUAD_ENABLE_TIMEOUT_US     (5000000lu) // in microseconds(实际单位为 us)

 

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My shield is CY8CKIT-062S2-43012

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