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i.MX Processors Knowledge Base

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[中文翻译版] 见附件   原文链接: https://community.nxp.com/docs/DOC-343344 
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[中文翻译版] 见附件   原文链接: https://community.nxp.com/docs/DOC-343372 
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[中文翻译版] 见附件   原文链接: https://community.nxp.com/docs/DOC-343273 
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    Xenomai is real-time framework, which can run seamlessly side-by-side Linux as a co-kernel system, or natively over mainline Linux kernels (with or without PREEMPT-RT patch). The dual kernel nicknamed Cobalt, is a significant rework of the Xenomai 2.x system. Cobalt implements the RTDM specification for interfacing with real-time device drivers. The native linux version, an enhanced implementation of the experimental Xenomai/SOLO work, is called Mercury. In this environment, only a standalone implementation of the RTDM specification in a kernel module is required, for interfacing the RTDM-compliant device drivers with the native kernel. You can get more detailed information from Home · Wiki · xenomai / xenomai · GitLab       I have ported xenomai 3.1 to i.MX Yocto 4.19.35-1.1.0, and currently support ARM64 and test on i.MX8MQ EVK board. I did over night test( 5 real-time threads + GPU SDK test case) and stress test by tool stress-ng on  i.MX8MQ EVK board. It looks lile pretty good. Current version (20200730) also support i.MX8MM EVK.     You need attached file xenomai-4.19.35-1.1.0-arm64-20200818.tgz (which inlcudes all patches and bb file) and add the following variable in conf/local.conf before build xenomai by command bitake xenomai.  XENOMAI_KERNEL_MODE = "cobalt"  PREFERRED_VERSION_linux-imx = "4.19-${XENOMAI_KERNEL_MODE}" IMAGE_INSTALL_append += " xenomai" or XENOMAI_KERNEL_MODE = "mercury" PREFERRED_VERSION_linux-imx = "4.19-${XENOMAI_KERNEL_MODE}" IMAGE_INSTALL_append += " xenomai" If XENOMAI_KERNEL_MODE = "cobalt", you can build dual kernel version. And If  XENOMAI_KERNEL_MODE = "mercury", it is single kernel with PREEMPT-RT patch. The following is test result by the command ( /usr/xenomai/demo/cyclictest -p 99 -t 5 -m -n -i 1000  -l 100000 😞 //Over normal Linux kernel without GPU SDK test case T: 0 ( 4220) P:99 I:1000 C: 100000 Min: 7 Act: 10 Avg: 9 Max: 23 T: 1 ( 4221) P:99 I:1500 C: 66672 Min: 7 Act: 10 Avg: 10 Max: 20 T: 2 ( 4222) P:99 I:2000 C: 50001 Min: 7 Act: 12 Avg: 10 Max: 81 T: 3 ( 4223) P:99 I:2500 C: 39998 Min: 7 Act: 11 Avg: 10 Max: 29 T: 4 ( 4224) P:99 I:3000 C: 33330 Min: 7 Act: 13 Avg: 10 Max: 26 //Over normal Linux kernel with GPU SDK test case T: 0 ( 4177) P:99 I:1000 C: 100000 Min: 7 Act: 10 Avg: 11 Max: 51 T: 1 ( 4178) P:99 I:1500 C: 66673 Min: 7 Act: 12 Avg: 10 Max: 35 T: 2 ( 4179) P:99 I:2000 C: 50002 Min: 7 Act: 12 Avg: 11 Max: 38 T: 3 ( 4180) P:99 I:2500 C: 39999 Min: 7 Act: 12 Avg: 11 Max: 42 T: 4 ( 4181) P:99 I:3000 C: 33330 Min: 7 Act: 12 Avg: 11 Max: 36 //Cobalt with stress-ng --cpu 4 --io 2 --vm 1 --vm-bytes 512M --timeout 600s --metrics-brief T: 0 ( 4259) P:50 I:1000 C:3508590 Min:      0 Act:    0 Avg:    0 Max:      42 T: 1 ( 4260) P:50 I:1500 C:2338831 Min:      0 Act:    1 Avg:    0 Max:      36 T: 2 ( 4261) P:50 I:2000 C:1754123 Min:      0 Act:    1 Avg:    1 Max:      42 T: 3 ( 4262) P:50 I:2500 C:1403298 Min:      0 Act:    1 Avg:    1 Max:      45 T: 4 ( 4263) P:50 I:3000 C:1169415 Min:      0 Act:    1 Avg:    1 Max:      22 //Cobalt without GPU SDK test case T: 0 ( 4230) P:50 I:1000 C: 100000 Min: 0 Act: 0 Avg: 0 Max: 4 T: 1 ( 4231) P:50 I:1500 C:   66676 Min: 0 Act: 1 Avg: 0 Max: 4 T: 2 ( 4232) P:50 I:2000 C:   50007 Min: 0 Act: 1 Avg: 0 Max: 8 T: 3 ( 4233) P:50 I:2500 C:   40005 Min: 0 Act: 1 Avg: 0 Max: 3 T: 4 ( 4234) P:50 I:3000 C:   33338 Min: 0 Act: 1 Avg: 0 Max: 5 //Cobalt with GPU SDK  test case T: 0 ( 4184) P:99 I:1000 C:37722968 Min: 0 Act: 1 Avg: 0 Max: 24 T: 1 ( 4185) P:99 I:1500 C:25148645 Min: 0 Act: 1 Avg: 0 Max: 33 T: 2 ( 4186) P:99 I:2000 C:18861483 Min: 0 Act: 1 Avg: 0 Max: 22 T: 3 ( 4187) P:99 I:2500 C:15089187 Min: 0 Act: 1 Avg: 0 Max: 23 T: 4 ( 4188) P:99 I:3000 C:12574322 Min: 0 Act: 1 Avg: 0 Max: 29 //Mercury without GPU SDK  test case T: 0 ( 4287) P:99 I:1000 C:1000000 Min: 6 Act: 7 Avg: 7 Max: 20 T: 1 ( 4288) P:99 I:1500 C:  666667 Min: 6 Act: 9 Avg: 7 Max: 17 T: 2 ( 4289) P:99 I:2000 C:  499994 Min: 6 Act: 8 Avg: 7 Max: 24 T: 3 ( 4290) P:99 I:2500 C:  399991 Min: 6 Act: 9 Avg: 7 Max: 19 T: 4 ( 4291) P:99 I:3000 C:  333322 Min: 6 Act: 8 Avg: 7 Max: 21 //Mercury with GPU SDK  test case T: 0 ( 4222) P:99 I:1000 C:1236790 Min: 6 Act: 7 Avg: 7 Max: 55 T: 1 ( 4223) P:99 I:1500 C:  824518 Min: 6 Act: 7 Avg: 7 Max: 44 T: 2 ( 4224) P:99 I:2000 C:  618382 Min: 6 Act: 8 Avg: 8 Max: 88 T: 3 ( 4225) P:99 I:2500 C:  494701 Min: 6 Act: 7 Avg: 8 Max: 49 T: 4 ( 4226) P:99 I:3000 C:  412247 Min: 6 Act: 7 Avg: 8 Max: 53
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[中文翻译版] 见附件   原文链接: https://community.nxp.com/docs/DOC-343518 
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[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 
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[中文翻译版] 见附件   原文链接: eIQ Machine Learning Software for i.MX Linux 4.14.y 
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[中文翻译版] 见附件   原文链接: https://community.nxp.com/docs/DOC-343823 
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[中文翻译版] 见附件   原文链接: https://community.nxp.com/docs/DOC-343777 
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[中文翻译版] 见附件   原文链接: Enable GmSSL which supports OSCCA Algorithm Toolbox on i.MX 
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[中文翻译版] 见附件   原文链接: https://community.nxp.com/docs/DOC-343761 
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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
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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
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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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The i.MX8QuadMax SMARC System On Module integrates Dual Cortex A72 + Quad Cortex A53 Cores, Dual GPU systems, 4K H.265 capable VPU dual failover-ready display controller based i.MX8 QuadMax SoC with on SOM Dual 10/100/1000 Mbps Ethernet PHY, USB 3.0 hub and IEEE 802.11a/b/g/n/ac Wi-Fi & Bluetooth 5.0 module.
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Sometimes it is helpful/faster to build a i.MX8MM boot binary outside of the Yocto environment. There are instructions on how to accomplish this on different places, this document tries to provide an example for the i.MX8M Mini LPDDR4 EVK, whenever possible pointing how to build for other boards. For the 8MM SoC a boot image is generated by imx-mkimage tool and requires: - u-boot - ARM trusted firmware image - ddr training firmware 1. Download and Build u-boot: mkdir imx-boot-bin cd imx-boot-bin git clone https://source.codeaurora.org/external/imx/uboot-imx.git cd uboot-imx/ git checkout -b imx_v2019.04_4.19.35_1.1.0 origin/imx_v2019.04_4.19.35_1.1.0 (Optional) Here you can "git log -1" to check that the commit matches SRCREV on the recipe. Next, use the BSP SDK script to setup the cross compilation environment, instructions on how to build it are here. source /opt/fsl-imx-wayland/4.19-warrior/environment-setup-aarch64-poky-linux export ARCH=arm Build make clean Supported boards have configuration files on "configs". Using the LPDDR4 EVK here: make imx8mm_evk_defconfig make 2.   Download and build the ARM Trusted Firmware cd .. git clone https://source.codeaurora.org/external/imx/imx-atf.git cd imx-atf/ git checkout -b imx_4.19.35_1.1.0 origin/imx_4.19.35_1.1.0 (Optional) Again, you can "git log -1" to check that the commit matches SRCREV on the recipe. https://source.codeaurora.org/external/imx/meta-fsl-bsp-release/tree/imx/meta-bsp/recipes-bsp/imx-atf/imx-atf_2.0.bb?h=warrior-4.19.35-1.1.0 Build: make PLAT=imx8mm bl31 If you run into this error: aarch64-poky-linux-ld.bfd: unrecognized option '-Wl,-O1' aarch64-poky-linux-ld.bfd: use the --help option for usage information make: *** [Makefile:712: build/imx8mm/release/bl31/bl31.elf] Error 1 try:  unset LDFLAGS make PLAT=imx8mm bl31 3. Download the LPDDR4 training binaries It is on firmware-imx, recipe is here: https://source.codeaurora.org/external/imx/meta-fsl-bsp-release/tree/imx/meta-bsp/recipes-bsp/firmware-imx?h=warrior-4.19.35-1.1.0 cd .. mkdir firmware-imx cd firmware-imx wget https://www.nxp.com/lgfiles/NMG/MAD/YOCTO/firmware-imx-8.5.bin chmod a+x firmware-imx-8.5.bin ./firmware-imx-8.5.bin 4. Download imx-mkimage and build the boot image cd .. git clone https://source.codeaurora.org/external/imx/imx-mkimage.git cd imx-mkimage/ git checkout -b imx_4.19.35_1.1.0 origin/imx_4.19.35_1.1.0 (Optional) " git log -1" matches SRCREV on: https://source.codeaurora.org/external/imx/meta-fsl-bsp-release/tree/imx/meta-bsp/recipes-bsp/imx-mkimage/imx-mkimage_git.inc?h=warrior-4.19.35-1.1.0 Now, you can check the build targets and required binaries at iMX8M/soc.mak For the flash_evk for the imx8mm we will need binaries: u-boot: u-boot-spl.bin, u-boot-nodtb.bin, fsl-imx8mm-evk.dtb  ARM trusted firmware: bl31.bin LPDDR4 files: lpddr4_pmu_train_1d_imem.bin lpddr4_pmu_train_1d_dmem.bin lpddr4_pmu_train_2d_imem.bin lpddr4_pmu_train_2d_dmem.bin mkimage for mkimage_uboot Copy all these to  imx-mkimage/ iMX8M/ cp ../uboot-imx/spl/u-boot-spl.bin iMX8M/ cp ../uboot-imx/u-boot-nodtb.bin iMX8M/ cp ../uboot-imx/arch/arm/dts/fsl-imx8mm-evk.dtb iMX8M/ cp ../imx-atf/build/imx8mm/release/bl31.bin iMX8M/ cp ../firmware-imx/firmware-imx-8.5/firmware/ddr/synopsys/lpddr4_pmu_train_* iMX8M/ cp ../uboot-imx/tools/mkimage iMX8M/mkimage_uboot Build: make SOC=iMX8MM flash_evk Output binary is on ./iMX8M/flash.bin 5. Program on the SD Card: sudo dd if=iMX8M/flash.bin of=/dev/<path to your sd> bs=1024 seek=33
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         This document will describe how to add open JDK to i.MX yocto BSP. It will take two versions of Linux BSP as an example, one is the lower version of L4.1.15-2.0.0, the other is the latest version of L4.19.35-1.1.0. Adding openjdk-8 to L4.1.15-2.0.0(Ubuntu 16.04 LTS platform) Before adding an open JDK, you must download L4.1.15-2.0.0 BSP according to the i.MX_Yocto_Project_User's_Guide.pdf , and ensure that it can pass the compilation normally, that is to say, there is no error in the compilation. In this example, BSP is compiled using the following command. # DISTRO=fsl-imx-wayland MACHINE=imx6sxsabresd source fsl-setup-release.sh -b build-wayland # bitbake fsl-image-qt5          Then follow the steps below to add openjdk to the yocto layer:   Fetching openjdk-8 from Yocto website # cd ~/imx-release-bsp # cd sources # git clone git://git.yoctoproject.org/meta-java # cd meta-java # git checkout -b krogoth origin/krogoth   [Comment]     Yocto’s version is described in i.MX_Yocto_Project_User's_Guide.pdf 2. Modifying related configurations (1) build-wayland /conf/local.conf Add following lines to the file: # Possible provider: cacao-initial-native and jamvm-initial-native PREFERRED_PROVIDER_virtual/java-initial-native = "cacao-initial-native" # Possible provider: cacao-native and jamvm-native PREFERRED_PROVIDER_virtual/java-native = "cacao-native" # Optional since there is only one provider for now PREFERRED_PROVIDER_virtual/javac-native = "ecj-bootstrap-native" IMAGE_INSTALL_append = " openjdk-8" Save it and exit (2) build-wayland /conf/bblayers.conf Add java layer to the file, like below: BBLAYERS = " \   ${BSPDIR}/sources/poky/meta \   ${BSPDIR}/sources/poky/meta-poky \   \   ${BSPDIR}/sources/meta-openembedded/meta-oe \   ${BSPDIR}/sources/meta-openembedded/meta-multimedia \   \   ${BSPDIR}/sources/meta-fsl-arm \   ${BSPDIR}/sources/meta-fsl-arm-extra \   ${BSPDIR}/sources/meta-fsl-demos \   ${BSPDIR}/sources/meta-java \ "…… Save it and exit. 3. Build openjdk-8 # cd ~/imx-release-bsp # source setup-environment build-wayland #bitbake openjdk-8 -c fetchall          Fetch all packages related to openjdk-8. [ error handling ]          During downloading packages, you may encounter errors like the following. (1)Fetch fastjar-0.98.tar.gz errors          The error is caused by invalid web address, we can download it from another link, see below: http://savannah.c3sl.ufpr.br/fastjar/fastjar-0.98.tar.gz copy the link to firefox in Ubuntu platform, and it will be downloaded into ~/Downloads # cd ~/imx-release-bsp/downloads # cp ~/Downloads/ fastjar-0.98.tar.gz ./ # touch fastjar-0.98.tar.gz.done   (2)Fetch “classpath-0.93.tar.gz” error          Download it from : http://mirror.nbtelecom.com.br/gnu/classpath/classpath-0.93.tar.gz And copy it to ~/imx-release-bsp/downloads, and create a file named classpath-0.93.tar.gz.done in the directory. # cd ~/imx-release-bsp/downloads # cp ~/Downloads/ classpath-0.93.tar.gz ./ # touch classpath-0.93.tar.gz.done (3) 8 files with tar.bz2 (hotspot-Java jvm)          These similar errors are very likely to be encountered.          These errors are caused by the bad network environment. You can download these packages manually. These are Java virtual machine source packages, i.e. hotspot JVM [Solution] # mkdir ~/temp # cd temp # wget http://www.multitech.net/mlinux/sources/56b133772ec1.tar.bz2 # wget http://www.multitech.net/mlinux/sources/ac29c9c1193a.tar.bz2 # wget http://www.multitech.net/mlinux/sources/1f032000ff4b.tar.bz2 # wget http://www.multitech.net/mlinux/sources/81f2d81a48d7.tar.bz2 # wget http://www.multitech.net/mlinux/sources/0549bf2f507d.tar.bz2 # wget http://www.multitech.net/mlinux/sources/0948e61a3722.tar.bz2 # wget http://www.multitech.net/mlinux/sources/48c99b423839.tar.bz2 # wget http://www.multitech.net/mlinux/sources/bf0932d3e0f8.tar.bz2          Then create .tar.bz2.done files for each package via touch command   # touch 56b133772ec1.tar.bz2.done # touch ac29c9c1193a.tar.bz2.done # touch 1f032000ff4b.tar.bz2.done # touch 81f2d81a48d7.tar.bz2.done # touch 0549bf2f507d.tar.bz2.done # touch 0948e61a3722.tar.bz2.done # touch 48c99b423839.tar.bz2.done # touch bf0932d3e0f8.tar.bz2.done          Like below:          Then copy these files to ~/ fsl-release-bsp/downloads/ # bitbake openjdk-8 -c compile          After openjdk compilation, you will be prompted as follows:          At last , install openjdk-8 to images # bitbake fsl-image-qt5          Done: [Additional description]          The above method of adding openjdk-8 is the steps after BSP compilation. Users can also add openjdk-8 before BSP compilation, and then compile it with BSP          According to steps in i.MX_Yocto_Project_User's_Guide.pdf, After running the following two commands, users can modify bblayers.conf and local.conf directly.          For example, steps below have been validated: … … # repo sync # cd ~/fsl-release-bsp # DISTRO=fsl-imx-x11 MACHINE=imx6qsabresd source fsl-setup-release.sh -b build-x11 # gedit ./conf/bblayers.conf          Add the same contents as above. # gedit ./conf/local.conf          Add the same contents as above. # bitbake fsl-image-gui          During compilation, users may encounter some errors, which can be handled by referring to the methods described above Adding openjdk-8 to L4.19.35-1.1.0(Ubuntu 18.04 LTS Platform) In fact, the steps to add openjdk-8 to l4.19.35 are the same as those described above, and the following steps have been verified. Before adding openjdk-8, i.mx8qxp full image has been compiled with 2 commands below, so we only need to add openjdk-8 here. # DISTRO=fsl-imx-xwayland MACHINE=imx8qxpmek source fsl-setup-release.sh -b build-xwayland # bitbake imx-image-full # cd sources # git clone git://git.yoctoproject.org/meta-java # cd meta-java # git checkout -b warrior origin/warrior          Release L4.19.35_1.1.0 is released for Yocto Project 2.7 (Warrior). # cd ~/imx-release-bsp-l4.19.35 # source setup-environment build-xwayland-imx8qxpmek # gedit ./conf/bblayers.conf          Add meta-java to it.          ……            ${BSPDIR}/sources/meta-java \          ……          Save and exit. # gedit ./conf/local.conf          Add these lines to it.          # Possible provider: cacao-initial-native and jamvm-initial-native PREFERRED_PROVIDER_virtual/java-initial-native = "cacao-initial-native" # Possible provider: cacao-native and jamvm-native PREFERRED_PROVIDER_virtual/java-native = "cacao-native" # Optional since there is only one provider for now PREFERRED_PROVIDER_virtual/javac-native = "ecj-bootstrap-native" IMAGE_INSTALL_append = " openjdk-8" Save and exit.   # cd ~/imx-release-bsp-l4.19.35/build-xwayland-imx8qxpmek # bitbake openjdk-8 -c fetch # bitbake openjdk-8 -c compile [Errors] [Solution] # gedit ./ tmp/work/x86_64-linux/openjdk-8-native/172b11-r0/jdk8u-33d274a7dda0/hotspot/make/linux/Makefile Comment the following lines: ----------------------------------------- check_os_version: #ifeq ($(DISABLE_HOTSPOT_OS_VERSION_CHECK)$(EMPTY_IF_NOT_SUPPORTED),) #       $(QUIETLY) >&2 echo "*** This OS is not supported:" `uname -a`; exit 1; #endif -----------------------------------------          Then continue # cd ~/imx-release-bsp-l4.19.35/build-xwayland-imx8qxpmek # bitbake openjdk-8 -c compile [comment]          Probably similar errors will be encountered during compiling other packages, we can use the same way like above to solve it , see bellow, please! Done:          At last, install openjdk-8 to images. # bitbake imx-image-full          Installation is done. NXP TIC Team  Weidong Sun 12/31/2019
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The D-PHY PLL (in the red circle in the picture below) is the PLL that drives the MIPI Clock lane. It must be set in accordance with the video to be sent to the display.   Calculating the video bandwidth The video bandwidth is calculated with the following equation: Pixels per second = Horizontal res. x Vertical res. x Frame rate x Bits per pixel Taking as example the 1080p60 OLED display RM67191: Pixels per second = 1920 x 1080 x 60 x 24 Pixels per second =  2985984000 = 2,98Gpixels/sec Pixel clock calculation The Display pixel clock can be obtained on the display driver. In this example for RM67191, the pixel clock is 132Mpixel/sec, see file: panel-raydium-rm67191.c\panel\drm\gpu\drivers - linux-imx - i.MX Linux kernel  Line 530: .pixelclock = { 66000000, 132000000, 132000000 }, Or the number can be obtained with the following equation: pixel clock = (hactive + hfront_porch + hsync_len + hback_porch) x (vactive + vfront_porch + vsync_len + vback_porch) x frame rate pixel clock = (1080 + 20 + 2 +34) × (1920 + 10 + 2 + 4) x 60 pixel clock =  132000000 (rounded up) Bit clock calculation (clock lane) The mipi-dphy bit_clk is the output clock and is calculated on file sec-dsim.c (line 1283): sec-dsim.c\bridge\drm\gpu\drivers - linux-imx - i.MX Linux kernel  Bit clock can be calculated with the following equation: bit_clk = Pixel clock * Bits per pixel / Number of lanes In the case of 1980p60 (Raydium display), It is:   bit_clk = pixel clock * bits per pixel / number of lanes bit_clk = 132000000 * 24 / 4 bit_clk = 792000000 Other important timing parameters like 'p', 'm', 's' are obtained on the table in the following header file: sec_mipi_dphy_ln14lpp.h\imx\drm\gpu\drivers - linux-imx - i.MX Linux kernel 
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