[中文翻译版] 见附件   原文链接： https://community.nxp.com/docs/DOC-343079 

[中文翻译版] 见附件   原文链接： https://community.nxp.com/docs/DOC-343059 

Hardware : i.MX8MNLPDDR4EVK Build Yocto Image [Linux 4.14.98_2.3.1] Yocto Project Setup          $: mkdir imx-yocto-bsp          $: cd imx-yocto-bsp                $: repo init -u https://source.codeaurora.org/external/imx/imx-manifest -b imx-linux-sumo -m imx-4.14.98-2.3.1.xml          $: repo sync  copy marvell bb.file into yocto source         $: cp  0001-Porting-mrvl-8987-wifi.patch   imx-yocto-bsp/sources/meta-fsl-bsp-release/imx/meta-bsp         $: git apply 0001-Porting-mrvl-8987-wifi.patch Image Build         $: DISTRO=fsl-imx-xwayland MACHINE=imx8mnlpddr4evk source fsl-setup-release.sh -b build-xwayland         $:bitbake fsl-image-qt5-validation-imx Enable wifi and BT (These operations is on EVK) WiFi $:insmod /lib/modules/4.14.98-2.3.1+g860ec89/extra/sd8xxx.ko fw_name=/mrvl/sduart8987_combo.bin cal_data_cfg=none cfg80211_wext=0xf BT $:hciattach /dev/ttymxc0 any -s 115200 115200 flow dtron $:hciconfig hci0 reset $:hcitool -ihci0 cmd 0x3f 0x0009 0xc0 0xc6 0x2d 0x00 & $:killall hcitool $:killall hciattach $:hciattach /dev/ttymxc0 any -s 3000000 3000000 flow dtron Build  Android Image[Android P9_2.3.4] These patches in  Android-2.3.4-patch. Getting i.MX Android release source code        $: cd ~ (or any other directory you like)        $: tar xzvf imx-p9.0.0_2.3.4.tar.gz        $: mkdir ~/bin        $: curl https://storage.googleapis.com/git-repo-downloads/repo > ~/bin/repo        $: chmod a+x ~/bin/repo        $: export PATH=${PATH}:~/bin        $: source ~/imx-p9.0.0_2.3.0/imx_android_setup.sh        # By default, the imx_android_setup.sh script will create the source code build environemnt        in the folder ~/android_build        # ${MY_ANDROID} will be refered as the i.MX Android source code root directory in all i.MX        Andorid release documentation.        $ : export MY_ANDROID=~/android_build Copy 88W8987 firmware and driver into  Android release code        $:copy -r Android-2.3.4-patch/mrvl    android_build/vendor/nxp/fsl-proprietary  Apply these patches.The name of these patches is the patche installation path.            example:  0001-android_build-hardware-marvell-wlan.patch         $: cp 0001-android_build-hardware-marvell-wlan.patch   android_build/hardware/marvell/wlan            (if not exist android_build/hardware/marvell/wlan, mkdir -p android_build/hardware/marvell/wlan)         $: git apply 0001-android_build-hardware-marvell-wlan.patch  Building Android images          $: cd  android_build          $: source build/envsetup.sh          $: lunch evk_8mn-userdebug          $: make 

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[中文翻译版] 见附件   原文链接： https://community.nxp.com/docs/DOC-343242 

[中文翻译版] 见附件   原文链接： https://community.nxp.com/docs/DOC-343344 

[中文翻译版] 见附件   原文链接： https://community.nxp.com/docs/DOC-343372 

[中文翻译版] 见附件   原文链接： https://community.nxp.com/docs/DOC-343273 

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[中文翻译版] 见附件   原文链接： https://community.nxp.com/docs/DOC-343518 

[中文翻译版] 见附件   原文链接： Add a new shared memory region on Android Auto P9.0.0_GA2.1.0 BSP 

[中文翻译版] 见附件   原文链接： eIQ Machine Learning Software for i.MX Linux 4.14.y 

[中文翻译版] 见附件   原文链接： https://community.nxp.com/docs/DOC-343823 

[中文翻译版] 见附件   原文链接： https://community.nxp.com/docs/DOC-343777 

[中文翻译版] 见附件   原文链接： Enable GmSSL which supports OSCCA Algorithm Toolbox on i.MX 

[中文翻译版] 见附件   原文链接： https://community.nxp.com/docs/DOC-343761 

目录 1 www.nxp.com公网资源 .............................................. 2 1.1 www.nxp.com Documentation ................................ 3 1.2 www.nxp.com Tools&Software ............................... 6 2 nxp 社区资源 ........................................................... 11 3 i.MX8M公网资源的其它资料 .................................... 13 4 i.MX8MNano公网资源的其它资料 ............................ 13 5 i.MX8MPlus公网资源的其它资料 ............................. 13

This guide is about how to use EVIS to create user nodes and kernels in OpenVX to implement image processing on NPU(i.MX8MP)/GPU(i.MX8QM). Take gaussian filter as an example. It is tested on i.MX8QM and i.MX8MP. User Node Creation from User Kernel 1. Define a user node Register a user kernel by its ID or name For example, #define VX_KERNEL_NAME_GAUSSIAN "com.nxp.extension.gaussian" #define VX_KERNEL_ENUM_GAUSSIAN 100 Get the kernel reference by the ID or name For example, vx_kernel kernel = vxGetKernelByName(context, VX_KERNEL_NAME_GAUSSIAN); vx_kernel kernel = vxGetKernelByEnum(context, VX_KERNEL_ENUM_GAUSSIAN ); Create a user node vx_node node = vxCreateGenericNode(graph, kernel); Set input/output node parameters For example, vx_status status = vxSetParameterByIndex(node, index++, (vx_reference)in_image); status |= vxSetParameterByIndex(node, index++, (vx_reference)out_image); 2. Create InputValidator/OutputValidator functions for the node The validators are only used for graph verification. For example, static vx_status VX_CALLBACK vxGaussianInputValidator(vx_node node, vx_uint32 index) static vx_status VX_CALLBACK vxGaussianOutputValidator(vx_node node, vx_uint32 index, vx_meta_format metaObj) ToDo: a. InputValidator: Get the reference to the parameter object   vx_parameter paramObj = NULL; vx_image imgObj = NULL; paramObj=vxGetParameterByIndex(node, index); vxQueryParameter(paramObj, VX_PARAMETER_REF, &imgObj, sizeof(vx_image)); Check meta-data restriction vxQueryImage(imgObj, VX_IMAGE_FORMAT, &imgFmt, sizeof(imgFmt)); Check consistency with other parameters if (VX_DF_IMAGE_U8==imgFmt) status = VX_SUCCESS; else status = VX_ERROR_INVALID_VALUE; b. OutputValidator Set the meta_format object with expected meta-data for the output status |= vxSetMetaFormatAttribute(metaObj, VX_IMAGE_FORMAT, &imgFmt, sizeof(imgFmt)); status |= vxSetMetaFormatAttribute(metaObj, VX_IMAGE_WIDTH, &width, sizeof(width)); status |= vxSetMetaFormatAttribute(metaObj, VX_IMAGE_HEIGHT, &height, sizeof(height)); 3. Create Initializer function for the node. The initializer is used to specify workdim, global work size and local work size for the user kernel. These parameters are similiar to that in OpenCL. For example,                                                                                    /* workdim, globel offset, globel scale, local size, globel size */ vx_kernel_execution_parameters_t shaderParam = {2,               {0, 0, 0},        {0, 0, 0},        {0, 0, 0},   {0, 0, 0}}; vx_status VX_CALLBACK vxGaussianInitializer(vx_node nodObj, const vx_reference *paramObj, vx_uint32 paraNum) Set attribute to the node vxSetNodeAttribute(nodObj, VX_NODE_ATTRIBUTE_KERNEL_EXECUTION_PARAMETERS, &shaderParam, sizeof(vx_kernel_execution_parameters_t)); Note: The links below are guides about OpenCL on GPU, which are helpful to understand OpenVX implemented on GPU/NPU. OpenCL Work Item Ids: Global/Group/Local OpenCL Programming Guide OpenCL Resources Introduction to OpenCL 4. Create Deinitializer function for the node (Optional) It is used to de-allocate memory allocated at initializer. User Kernel on NPU/GPU Creation 1. Create description of a user kernel For example, vx_kernel_description_t vxGaussianKernelVXCInfo = { VX_KERNEL_ENUM_GAUSSIAN, VX_KERNEL_NAME_GAUSSIAN, nullptr, vxGaussianKernelParam, (sizeof(vxGaussianKernelParam)/sizeof(vxGaussianKernelParam[0])), vxGaussianValidator, nullptr, nullptr, vxGaussianInitializer, nullptr }; 2. Register the new kernel For example, static vx_kernel_description_t* kernels[] = { &vxGaussianKernelVXCInfo, }; 3. Write kernel source implemented on NPU/GPU For example, char vxcKernelSource[] = { "#include \ \n\ \n\ \n\ __kernel void gaussian\n\ ( \n\ __read_only image2d_t in_image, \n\ __write_only image2d_t out_image \n\ ) \n\ { \n\ int2 coord = (int2)(get_global_id(0), get_global_id(1)); \n\ int2 coord_out = coord; \n\ vxc_uchar16 lineA, lineB, lineC, out;\n\ int2 coord_in1 = coord + (int2)(-1, -1);\n\ VXC_OP4(img_load, lineA, in_image, coord_in1, 0, VXC_MODIFIER(0, 15, 0, VXC_RM_TowardZero, 0));\n\ int2 coord_in2 = coord + (int2)(-1, 0);\n\ VXC_OP4(img_load, lineB, in_image, coord_in2, 0, VXC_MODIFIER(0, 15, 0, VXC_RM_TowardZero, 0));\n\ int2 coord_in3 = coord + (int2)(-1, 1);\n\ VXC_OP4(img_load, lineC, in_image, coord_in3, 0, VXC_MODIFIER(0, 15, 0, VXC_RM_TowardZero, 0));\n\ int info = VXC_MODIFIER_FILTER(0, 13, 0, VXC_FM_Guassian, 0);\n\ VXC_OP4(filter, out, lineA, lineB, lineC, info); ;\n\ VXC_OP4_NoDest(img_store, out_image, coord_out, out, VXC_MODIFIER(0, 13, 0, VXC_RM_TowardZero, 0)); \n\ }\n\ " }; Note: the source is written by EVIS instructions with less latency. But the EVIS instructions are limited. These fucntions defination can be found in "cl_viv_vx_ext.h" located at "/usr/include/CL/cl_viv_vx_ext.h". Read back the processed data by GPU/NPU to check if the operations are correct. For example, status = vxCopyImagePatch(vx_out_image, &rect, 0, &addressing, data2, VX_READ_ONLY, VX_MEMORY_TYPE_HOST); 4. Build the NPU/GPU source code runtime For example, programObj = vxCreateProgramWithSource(ContextVX, 1, programSrc, &programLen); vxBuildProgram(programObj, "-cl-viv-vx-extension"); 5. Add kernel to the program For example, ... kernelObj = vxAddKernelInProgram(programObj, kernels[i]->name, kernels[i]->enumeration, kernels[i]->numParams, kernels[i]->validate, kernels[i]->initialize, kernels[i]->deinitialize ); ... for(vx_uint32 j=0; j < kernels[i]->numParams; j++) { status = vxAddParameterToKernel(kernelObj, j, kernels[i]->parameters[j].direction, kernels[i]->parameters[j].data_type, kernels[i]->parameters[j].state ); 6. Finalize the kernel creation For example, status = vxFinalizeKernel(kernelObj); Exercise The example is attached. You can build and test it on i.MX8QM or i.MX8MP. Results on i.MX8QM: References: Khronosdotorg/resources.md at master · KhronosGroup/Khronosdotorg · GitHub  Further Reading: OpenVX Vision Image Extension API Introduction - Basic API OpenVX Vision Image Extension API Introduction - DP Dot Products

Tested on Android 10 (android_Q10.0.0_1.0.0) After your the first BSP build the kernel sources are at: ${MY_ANDROID}/vendor/nxp-opensource/kernel_imx/ For the i.MX8M Mini, You can check the defconfig files being used on: ${MY_ANDROID}/device/fsl/imx8m/evk_8mm/UbootKernelBoardConfig.mk # imx8mm kernel defconfig TARGET_KERNEL_DEFCONFIG := android_defconfig TARGET_KERNEL_ADDITION_DEFCONF := android_addition_defconfig You could change one of them to add the desired configuration. - android_defconfig - is ${MY_ANDROID}/vendor/nxp-opensource/kernel_imx/arch/arm64/configs/android_defconfig - android_addition_defconfig - is on the same folder ${MY_ANDROID}/device/fsl/imx8m/evk_8mm/ "merge_config.sh" is called to generate the final defconfig file prior to building the kernel Check out: https://source.android.com/devices/architecture/kernel/config For example, I want to add DEVMEM support on my build: 1. Change the defconfig I add the line below to android_addition_defconfig CONFIG_DEVMEM=y (Or could have added it android_defconfig) 2. Build the kernel ./imx-make.sh kernel -c -j8 3. Verify your change After compiling, you can confirm your change by reading: ${MY_ANDROID}/out/target/product/evk_8mm/obj/KERNEL_OBJ/.config Then rebuild boot.img and reprogram the target.

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