Some Chinese customers using i.MX series SoC maybe encounter some issues when they download android , u-boot & kernel source code by 'git' command, the following steps will show customer how to get them: 1. Getting repo --No.1 methord # cd ~ # mkdir myandroid # mkdir bin # cd bin # git clone git://aosp.tuna.tsinghua.edu.cn/android/git-repo.git/ <if git failed, use : git clone https://aosp.tuna.tsinghua.edu.cn/android/git-repo.git/> # cd git-repo # cp ./repo ../ --No.2 methord # cd ~ # mkdir bin # curl https://storage.googleapis.com/git-repo-downloads/repo > ~/bin/repo # chmod a+x ~/bin/repo [Note]Customers can select one of above to get "repo" 2. Modifying repo File Open ~/bin/repo file with 'gedit' and Change google address From        REPO_URL = 'https://gerrit.googlesource.com/git-repo' To        REPO_URL = 'git://aosp.tuna.tsinghua.edu.cn/android/git-repo'        like following: ## repo default configuration ## REPO_URL = 'git://aosp.tuna.tsinghua.edu.cn/android/git-repo' REPO_REV = 'stable' 3、Setting email address # cd ~/myandroid # git config --global user.email "weidong.sun@nxp.com" # git config --global user.name "weidong.sun" [ Email & Name should be yours] 4、Getting manifest # ~/bin/repo init -u https://aosp.tuna.tsinghua.edu.cn/android/platform/manifest -b android-5.1.1_r1 # cd ~/myandroid/.repo # gedit manifest.xml        Then change the value of fetch to " git://aosp.tuna.tsinghua.edu.cn/android/ ", like following: <manifest>   <remote name="aosp"            fetch="git://aosp.tuna.tsinghua.edu.cn/android/" />   <default revision="refs/tags/android-5.1.1_r1" ...... [Note] android-5.1.1_r1 is version of branch,customer can change it to another. 5、# ~/bin/repo sync          [Note] During runing repo sync, maybe errors will occur like the following: ...... * [new tag]         studio-1.4 -> studio-1.4 error: Exited sync due to fetch errors          Then 'repo sync' exits. But don't worry about it, continue to run the command please ! " ~/bin/repo sync", downloading source code will be continous. 6、Getting Cross Compiler # cd ~/myandroid/prebuilts/gcc/linux-x86/arm # git clone https://aosp.tuna.tsinghua.edu.cn/android/platform/prebuilts/gcc/linux-x86/arm/arm-eabi-4.6 # cd arm-eabi-4.6 # git checkout android-4.4.3_r1 7、Getting linux kernel source code        Probably, customer can't normally get linux kernel by using "git clone" command, she can download it directly from the following weblink:        http://git.freescale.com/git/cgit.cgi/imx/linux-2.6-imx.git/        At first, create a temperary directory, then download kernel into the directory. see following steps: # cd ~ /Downloads # mkdir linux-kernel   Atfer downloading l5.1.1_2.1.0-ga.tar.gz, use 'tar zxvf l5.1.1_2.1.0-ga.tar.gz' command to decompress it.        Then you can find a subdirectory name " l5.1.1_2.1.0-ga" is created, linux source code is in the directory, we should copy all files in the directory to ~/myandroid/kernel_imx/ # cd ~/myandroid # mkdir kernel_imx # cd kernel_imx # cp -a ~ /Downloads/linux-kernel/l5.1.1_2.1.0-ga ./ 8、Getting uboot source code               Probably, customer can't normally get linux kernel by using "git clone" command, she can download it directly from the following weblink:       http://git.freescale.com/git/cgit.cgi/imx/uboot-imx.git/        We can use similar way to that of linux kernel to get u-boot source code: # cd ~ /Downloads # mkdir u-boot        Download l5.1.1_2.1.0-ga.tar.gz file, and save it in ~ /Downloads/ u-boot, then decompress it, then u-boot source code will be in ~ /Downloads/ u-boot / l5.1.1_2.1.0-ga/, we should copy all file in the path to ~/myandroid/bootable/bootloader/uboot-imx/ # cd ~/myandroid/bootable/bootloader # mkdir uboot-imx # cd uboot-imx # cp -a ~ /Downloads/u-boot/l5.1.1_2.1.0-ga/* ./ 9、Patch android BSP source code        android_L5.1.1_2.1.0_consolidated-ga_core_source.gz is the name of patch. Run following command to patch android. # copy android_L5.1.1_2.1.0_consolidated-ga_core_source.gz /opt/ # tar zxvf android_L5.1.1_2.1.0_consolidated-ga_core_source.gz # cd /opt/ android_L5.1.1_2.1.0_consolidated-ga_core_source/code/ # tar zxvf L5.1.1_2.1.0_consolidated-ga.tar.gz # cd ~/myandroid # source /opt/ android_L5.1.1_2.1.0_consolidated-ga_core_source/code/ L5.1.1_2.1.0_consolidated-ga/ and_patch.sh # help # c_patch /opt/ android_L5.1.1_2.1.0_consolidated-ga_core_source/code/ L5.1.1_2.1.0_consolidated-ga/ imx_L5.1.1_2.1.0-ga        If everything is OK, the following logs will display on console:               **************************************************************        Success: Now you can build the Android code for FSL i.MX platform               ************************************************************** 10、Patch Freescale extended feathures code        Please refer to chapter 3.3 of Android_User's_Guide.pdf to patch another 2 files:        (1) android_L5.1.1_2.1.0_consolidated-ga_omxplayer_source.gz        (2) android_L5.1.1_2.1.0_consolidated-ga_wfdsink_source.gz [Note]       As for other steps, such as compiling etc, please refer to Android_User's_Guide.pdf that released by NXP. TICS team Weidong Sun 04/01/2016

Here is a quick summary at building a bootloader, a kernel and a root filesystem for the i.MX 6 sabre sd platform, using buildroot. This assumes you have a "working" Linux development environment at hand (e.g. Debian). Buildroot is a fine build system, which makes deploying Linux on embedded platforms really easy. It is comparable to Yocto in spirit, but much simpler. Thanks to my colleague gillestalis, buildroot now has builtin support for the i.MX6 sabre sd platform. Get buildroot sources We will use git to fetch buildroot sources: $ git clone git://git.busybox.net/buildroot This should create a buildroot directory with all the latest sources (after a while). Note that for more stability you might want to checkout a release instead of the latest version; to do so, list the available release tags with e.g. git tag -l '201*', and git checkout <the-desired-tag>. Compile The beauty of buildroot is that it will take care of everything for you, including preparing a cross compiler. You can download and build everything by doing: $ cd buildroot $ make freescale_imx6sabresd_defconfig $ make This should download and build everything, so it will take a while. buildroot detects the number of CPUs you have in your machine and builds with parallel jobs automatically; no need to specify any -j argument to make here. All build results fall under the output/images folder: output/images/ +- rootfs.ext2 +- rootfs.tar +- u-boot.bin `- uImage Format the SD card As for Debian, we need to format the SD card with two partitions; one small FAT partition to contain the Linux kernel, and one large ext4 partition, which will contain the root filesystem with the buildroot generated userspace. Also, we need to make sure we leave some space for u-boot starting from offset 1024B. Here is an example SD card layout: +-----+------+--------+-----+---------------+----------------- | MBR |  ... | u-boot | ... | FAT partition | Linux partition ... +-----+------+--------+-----+---------------+----------------- 0     512    1024           1M              ~257M (offsets in bytes) Here is an example SD card layout, as displayed by fdisk: Device    Boot      Start         End      Blocks   Id  System /dev/sdc1            2048      526335      262144    c  W95 FAT32 (LBA) /dev/sdc2          526336     8054783     3764224   83  Linux (units: 512B sectors) You can format the FAT boot partition with: # mkfs.vfat /dev/<your-sd-card-first-partition> Your SD card first partition is typically something in /dev/sd<X>1 or/dev/mmcblk<X>p1. You can format the Linux partition with: # mkfs.ext4 /dev/<your-sd-card-second-partition> Your SD card second partition is typically something in /dev/sd<X>2 or/dev/mmcblk<X>p2. Put on SD As explained here, u-boot should reside at offset 1024B of your SD card. Also, as buildroot generates an u-boot.bin (and not an u-boot.imx) we should skip its first KB, too. In summary, to put u-boot on your SD, do:   # dd if=output/images/u-boot.bin of=/dev/<your-sd-card> bs=1k seek=1 skip=1   # sync Your SD card device is typically something in /dev/sd<X> or /dev/mmcblk<X>. Note that you need write permissions on the SD card for the command to succeed, so you might need to su - as root, or use sudo, or do a chmod a+w as root on the SD card device node to grant permissions to users. Similarly to what this post describes, you can copy the kernel to the FAT boot partition with: # mount /dev/<your-sd-card-second-partition> /mnt # cp output/images/uImage /mnt/ # umount /mnt Your SD card first partition is typically something in /dev/sd<X>1 or/dev/mmcblk<X>p1. And not unlike what is done in this post, You can install your generated root filesystem to the Linux partition with: # mount /dev/<your-sd-card-second-partition> /mnt # tar -C /mnt -xvf output/images/rootfs.tar # umount /mnt Your SD card second partition is typically something in /dev/sd<X>2 or/dev/mmcblk<X>p2. Boot! Your SD card is ready for booting. Insert it in the SD card slot of your i.MX6 sabre sd platform, connect to the USB to UART port with a serial terminal set to 115200 baud, no parity, 8bit data and power up the platform. Like with Debian, u-boot default settings will not allow it to boot from the SD card, so we need to interrupt it by pressing enter at u-boot prompt for the first boot and setup u-boot environment to fix this: MX6Q SABRESD U-Boot > setenv bootargs_mmc 'setenv bootargs ${bootargs} root=/dev/mmcblk1p2 rootwait' MX6Q SABRESD U-Boot > setenv bootcmd_mmc 'run bootargs_base bootargs_mmc; mmc dev 2; fatload mmc 2:1 ${loadaddr} ${kernel}; bootm' MX6Q SABRESD U-Boot > setenv bootcmd 'run bootcmd_mmc' MX6Q SABRESD U-Boot > saveenv Saving Environment to MMC... Writing to MMC(2)... done As this is saved in the SD card it need only to be done once at first boot. You can reboot your board or type boot; your buildroot system should boot to a prompt: (...) Welcome to Buildroot buildroot login: From there you may login as root. Enjoy! Tweak buildroot uses Linux kernel kconfig to handle its configuration. So, as for the Linux kernel, changes to the configuration can be done with e.g.: $ make menuconfig Most of the options can be tuned from there, including (most importantly) which packages get installed into the generated root filesystem. This is configuration section 'Filesystem images'. Further details are documented in buildroot manual. Tips ccache is natively supported by buildroot and can be easily enabled with configuration option BR2_CCACHE. If you only use the generated rootfs.tar as described in this post and do not care about the rootfs.ext2, you might as well save a few seconds of build by disabling its generation. This is done with configuration option BR2_TARGET_ROOTFS_EXT2. It is recommended to install an ssh server inside the target for further development. This is conveniently done with configuration option BR2_PACKAGE_OPENSSH. See also... Other root filesystems may make more sense for you; see this post for a Debian root filesystem, and this post for a minimal busybox filesystem. Freescale Yocto Project main page

iMX6DQ TP2854 MIPI CSI2 720P HD-TVI camera surround view solution for Linux BSP.   For iMX6DQ, there are two IPUs, so they can support up to 4 cameras at the same time. But the default BSP can only support up to two cameras at the same time. The attached patch can make the BSP support up to 4 cameras based on 3.14.52 GA 1.1.0 BSP and 4.1.15 GA1.2.0 BSP. The 4 cameras can be: - 1xCSI, 3xMIPI - 2xCSI, 2xMIPI - 4xMIPI For 4xMIPI case, the four cameras should be combined on the single MIPI CSI2 interface, and each camera data should be transfered on a mipi virtual channel. In this patch, we given the example driver for Techpoint TP2854, it was verified working on iMX6DQ SabreAuto board. The input to TP2854 is four 720P30 HD-TVI cameras.   The MIPI CSI2 720P digital camera surround view solution can be found at: iMX6DQ MAX9286 MIPI CSI2 720P camera surround view solution for Linux BSP   The kernel patches: 0001-IPU-update-IPU-capture-driver-to-support-up-to-four-.patch      Updated IPU common code to support up to four cameras.   0002-Remove-the-page-size-align-requirement-for-v4l2-capt.patch      With this patch, the mxc_v4l2_tvin test application can use overlay framebuffer as V4l2 capture buffer directly.   0003-Add-TP2854-support-on-SabreAuto-board-which-can-supp.patch      TP2854 driver.   How to builld the kernel with TP2854 support:       make imx_v7_defconfig       make menuconfig (In this command, you should select the TP2854 driver:             Device Drivers  --->                   <*> Multimedia support  --->                         [*]   V4L platform devices  --->                               <*>   MXC Video For Linux Video Capture                                       MXC Camera/V4L2 PRP Features support  --->                                           <*>Techpoint tp2854 HD CVBS Input support                                           <*>mxc VADC support                                           <*>Select Overlay Rounting (Queue ipu device for overlay library)                                           <*>Pre-processor Encoder library                                           <*>IPU CSI Encoder library)       make zImage       make dtbs   The built out image file:       arch/arm/boot/dts/imx6q-sabreauto.dtb       arch/arm/boot/zImage "mxc_v4l2_tvin_3.14.52.zip" is the test application, test command to capture the four cameras and render on 1080P HDMI display: /mxc_v4l2_tvin.out -ol 0 -ot 0 -ow 960 -oh 540 -d 1 -x 0 -g2d & /mxc_v4l2_tvin.out -ol 960 -ot 0 -ow 960 -oh 540 -d 1 -x 1 -g2d & /mxc_v4l2_tvin.out -ol 0 -ot 540 -ow 960 -oh 540 -d 1 -x 2 -g2d & /mxc_v4l2_tvin.out -ol 960 -ot 540 -ow 960 -oh 540 -d 1 -x 3 -g2d & Details for TP2854, please contact with Techpoint. [2019-04-04] Update Add application to preview + encode at the same time:    /mxc_vpu_test.out -E "-x 0 -o /enc.h264 -w 1280 -h 720 -L 0 -T 0 -W 512 -H 384 -c 5000 -f 2" The camera input data go through CSI->MEM path, and IDMAC 0/1 will convert data from YUV422 ro NV12 for VPU encoder, no resize. Another modification in the mxc_vpu_test, it use different thread to encode and preview.

Hi All, The new Android JB4.2.2_1.0.0-GA release is now available on www.freescale.com ·         Files available Name Description IMX6_JB422_100_ANDROID_DOCS i.MX 6Quad, i.MX 6Dual, and   i.MX 6DualLite Android jb4.2.2_1.0.0 BSP Documentation. Includes Release   Notes, User's Guide, QSG and FAQ Sheet. IMX6_JB422_100_ANDROID_SOURCE i.MX 6Quad, i.MX 6Dual, and   i.MX 6DualLite Android jb4.2.2_1.0.0 BSP, Documentation and Source Code for   BSP and Codecs. IMX6_JB422_100_ANDROID_DEMO i.MX 6Quad, i.MX 6Dual, and   i.MX 6DualLite Android jb4.2.2_1.0.0 BSP Binary Demo Files ·         Target HW boards o   i.MX6DL  SABRE SD board o   i.MX6Q  SABRE SD board o   i.MX6DQ SABRE AI board o   i.MX6DL SABRE AI board ·         Release Description i.MX Android jb4.2.2_1.0.0-ga is GA release for Android 4.2.2 Jelly Bean(JB) on i.MX6Q SABRE SD, i.MX6DL SABRE SD and i.MX6Q/DL SABRE AI platform with key features integrated. i.MX Android jb4.2.2_1.0.0-ga release includes all necessary codes, documents and tools to assist users in building and running Android 4.2.2 on i.MX6Q and i.MX6DL hardware board from the scratch. The prebuilt images are also included for a quick trial on Freescale i.MX6Q, i.MX6DL SABRE SD and i.MX6Q/DL SABRE AI boards. Most of deliveries in this release are provided in source code with the exception of some proprietary modules/libraries from third parties. ·         Features Feature i.MX6Q   SABRE SD i.MX6DL   SABRE SD i.MX6   SABRE AI Comments Linux 3.0.35  kernel Y Y Y Based on Linux BSP   L3.0.35_4.0.0 GA release Google JellyBean   4.2.2 release Y Y Y Based on   android-4.2.2_r1 release Bootup with Android Y Y Y Boot source eMMC& External SD eMMC& External SD SD&Nand Default Nand chip   been support is Micron MT29F8G08ABABAWP Splash Screen for   LVDS Y Y N UI (input) Multi-touch on LVDS   panel Multi-touch on LVDS panel Multi-touch on LVDS   panel UI (display) LVDS panel, HDMI   display LVDS panel, HDMI   display LVDS panel, HDMI   display UI (dual display,   LVDS+HDMI, UI mirror displayed on second device) Y Y Y UI (brightness   control) Y Y Y UI (LiveWallpaper) Y Y Y Storage - External   Media Y Y Y SD, External SD and   UDisk Storage - MTP   (Media Transfer Protocol) Y Y Y Connectivity -   Ethernet Y Y Y Connectivity - BT     Y Y     N Hardware: ·           Atheros AR3001 ·           Atheros AR3002 Profiles: ·           A2DP ·           HID ·           OPP ·           PBAP Connectivity - WiFi Y Y     Y Hardware: ·           Atheros AR6103 SDIO card Features: ·           AP mode ·           Wake on Wireless Connectivity -   3G Y Y   N Hardware: ·           HUAWEI EM770W modem ·           Infinion Amazon 1 modem ·           ZTE FM210 modem Connectivity -   GPS Y Y N Connectivity - USB Tethering Y Y Y Support WIFI and   Ethernet as upstream Internet - SIP   voice call N N N Internet - VPN Y Y Y Power - Battery   status report Y Y N/A Known limitations   about the accuracy in some use cases Power - CPU Freq Y Y Y Power - Bus Freq Y Y Y Media - Music Play Y Y Y Media - Sound Record Y Y Y Media - Video Play Y Y Y Media - Camera Y Y N Media - TVIN N/A N/A Y PAL/NTSC Media - Dual Camera Y Y Y Hardware for SABRE SD: ·           Front Camera: OV5642 CSI camera ·           Rear Camera: OV5640 MIPI camera Hardware   for SABRE AI: ·           Front Camera: UVC camera ·           Rear Camera: TV IN Media - Camcorder Y Y N Media - USB Camera Y Y Y Logitech: ·           C250 ·           E3500 Media - USB Micro Y Y Y Media - Movie   Studio Y Y Y Media - HDMI audio output Y Y Y Graphic - HW 3D   acceleration Y Y Y OpenGLES 1.1/2.0   via GC2000 or GC800 3D core Graphic - HW   accelerated UI surface composition Y Y Y Misc - ADB over USB Y Y Y Misc - Fastboot   utility Y Y Y Misc - SW update   and factory reset Y Y Y Sensor - Magmatic Y Y N Sensor -   Accelerometer Y Y N Sensor - Light Y Y N NTFS-3G File System Y Y Y For external   Storage NAND N N Y Tested NAND chip: - Micro 29F8G08ABABA ·         Change List The below section lists the big changes in JellyBean which need the user’s attention when comparing to Freescale ICS version: o   Default Android multiple display implementation in JellyBean o   Display resolution change in Setting is not been supported o   New camera hal implementation based on JellyBean libcamera2 o   Add NTFS file system support for external storage ·         Known issues For known issues and limitations please consult the release notes

A new version of the Pins Tool for i.MX Application Processors has been released and is available for download as desktop tool from Pins Tool for i.MX Application Processors|NXP. The pins Tool for i.MX Application Processors is used for pin routing configuration, validation and code generation, including pin functional/electrical properties, power rails, run-time configurations, with the following main features: Desktop application Muxing and pin configuration with consistency checking Multicore support ANSI-C initialization code Graphical processor package view Multiple configuration blocks/functions Easy-to-use device configuration Selection of Pins and Peripherals Package with IP blocks Routed pins with electrical characteristics Registers with configured and reset values Power Groups with assigned voltage levels Source code for C/C++ applications Documented and easy to understand source code CSV Report and Device Tree File Localized for English and Simplified Chinese Mostly Connected: On-Demand device data download Integrates with any compiler and IDE What's New Added Label support to give signals a name Added ‘Log’ and ‘Problems’ view to report conflicts between settings Added support for templates to store user configurations as starting point for new configurations Added ability to download and share data for devices, especially for off-network host machines i.MX header files are now automatically part of the device data Import of legacy Processor Expert .pe files Export of register defines Various bug fixes and documentation improvements The release notes of the desktop application are attached to this article. Import Processor Expert Files A new importer has been added to import legacy Processor Expert for i.MX files: Labels Signals can now have user defined labels: Templates, Kits, Boards and Processors When creating a new configuration, it offers Templates, Boards and Processors. Custom configurations can be stored as templates and then used for new configurations. Board Specific Functions With the provided board and kit configurations, there are now pre-configured initialization functions for major blocks on the board: Export Data To simplify downloading the device specific data for the desktop tool, the 'Export' function can be used to download and export the data. The data can be copied that way to another machine or all data for a set of devices can be loaded. Export Registers With the Export command the registers can be exported as text/source: This is used to store the register values: /*FUNCTION********************************************************************** * * Function Name : init_audmux_pins * Description   : Configures pin routing and optionally pin electrical features. * *END**************************************************************************/ #define INIT_AUDMUX_PINS_IOMUXC_AUD5_INPUT_DA_AMX_SELECT_INPUT_VALUE            0x00000000   /*!< Register name: IOMUXC_AUD5_INPUT_DA_AMX_SELECT_INPUT */ #define INIT_AUDMUX_PINS_IOMUXC_AUD5_INPUT_TXCLK_AMX_SELECT_INPUT_VALUE         0x00000000   /*!< Register name: IOMUXC_AUD5_INPUT_TXCLK_AMX_SELECT_INPUT */ #define INIT_AUDMUX_PINS_IOMUXC_AUD5_INPUT_TXFS_AMX_SELECT_INPUT_VALUE          0x00000000   /*!< Register name: IOMUXC_AUD5_INPUT_TXFS_AMX_SELECT_INPUT */ #define INIT_AUDMUX_PINS_IOMUXC_SW_MUX_CTL_PAD_DI0_PIN02_VALUE                  0x00000002   /*!< Register name: IOMUXC_SW_MUX_CTL_PAD_DI0_PIN02 */ #define INIT_AUDMUX_PINS_IOMUXC_SW_MUX_CTL_PAD_DI0_PIN03_VALUE                  0x00000002   /*!< Register name: IOMUXC_SW_MUX_CTL_PAD_DI0_PIN03 */ #define INIT_AUDMUX_PINS_IOMUXC_SW_MUX_CTL_PAD_DI0_PIN04_VALUE                  0x00000002   /*!< Register name: IOMUXC_SW_MUX_CTL_PAD_DI0_PIN04 */ #define INIT_AUDMUX_PINS_IOMUXC_SW_MUX_CTL_PAD_DI0_PIN15_VALUE                  0x00000002   /*!< Register name: IOMUXC_SW_MUX_CTL_PAD_DI0_PIN15 */ #define INIT_AUDMUX_PINS_IOMUXC_SW_MUX_CTL_PAD_DISP0_DATA16_VALUE               0x00000003   /*!< Register name: IOMUXC_SW_MUX_CTL_PAD_DISP0_DATA16 */ #define INIT_AUDMUX_PINS_IOMUXC_SW_MUX_CTL_PAD_DISP0_DATA18_VALUE               0x00000003   /*!< Register name: IOMUXC_SW_MUX_CTL_PAD_DISP0_DATA18 */ #define INIT_AUDMUX_PINS_IOMUXC_SW_MUX_CTL_PAD_DISP0_DATA19_VALUE               0x00000003   /*!< Register name: IOMUXC_SW_MUX_CTL_PAD_DISP0_DATA19 */ ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ We hope you will find this new release useful. Thanks for designing with NXP! 

Here we show how to bootstrap the Debian Linux distribution from a PC to the i.MX6 sabre sd platform. While bootstrapping Debian on any architecture "natively" is pretty straightforward, "cross-bootstrapping" requires some techniques that we will explain. This document assumes you are able to boot a Linux kernel on your platform already. See this post for details on how to do it. Also, this document assumes you are using a Debian PC for preparing your SD card. You will require the following packages to be installed: binfmt-support qemu-user-static debootstrap Note: all the commands found in the following steps need to be run as root. Formatting the SD card We need to format the SD card with two partitions; one small FAT partition to contain the Linux kernel and its dtb, and one large ext4 partition, which will contain the root filesystem with the Debian userspace. Also, we need to make sure we leave some space for u-boot starting from offset 1024B. Here is an example SD card layout:   +-----+------+--------+-----+---------------+-----------------   | MBR |  ... | u-boot | ... | FAT partition | Linux partition ...   +-----+------+--------+-----+---------------+-----------------   0     512    1024           1M              ~257M (offsets in bytes) Here is an example SD card layout, as displayed by fdisk:   Device    Boot      Start         End      Blocks   Id  System   /dev/sdc1            2048      526335      262144    c  W95 FAT32 (LBA)   /dev/sdc2          526336     8054783     3764224   83  Linux (units: 512B sectors) You can format and mount the Linux partition with:   # mkfs.ext4 /dev/<your-sd-card-second-partition>   # mount /dev/<your-sd-card-second-partition> /mnt Your SD card second partition is typically something in /dev/sd<X>2 or /dev/mmcblk<X>p2. Do not forget to install u-boot and a Linux kernel as explained in those posts. Bootstrapping Debian First stage The first stage of Debian bootstrapping is done with:   # debootstrap --foreign --arch=armhf testing /mnt This will retrieve the base Debian packages from the internet, and perform a first stage of installation:   I: Retrieving Release   I: Retrieving Release.gpg   I: Checking Release signature   I: Valid Release signature (key id A1BD8E9D78F7FE5C3E65D8AF8B48AD6246925553)   I: Validating Packages   I: Resolving dependencies of required packages...   I: Resolving dependencies of base packages...   I: Found additional required dependencies: insserv libbz2-1.0 libcap2 libdb5.1 libsemanage-common libsemanage1 libslang2 libustr-1.0-1   I: Found additional base dependencies: libee0 libept1.4.12 libestr0 libgcrypt11 libgnutls-openssl27 libgnutls26 libgpg-error0 libidn11 libjson-c2 liblognorm0 libmnl0 libnetfilter-acct1 libnfnetlink0 libp11-kit0 libsqlite3-0 libtasn1-3 libxapian22   I: Checking component main on http://ftp.us.debian.org/debian...   (...)   I: Extracting util-linux...   I: Extracting liblzma5...   I: Extracting zlib1g... At this point, the necessary tools for second stage of installation are under /mnt/debootstrap/. Second stage The second stage needs to run natively; on an arm platform, that is. But we can use the combination of two techniques to perform this stage on the PC anyway:   # cp /usr/bin/qemu-arm-static /mnt/usr/bin/   # chroot /mnt /debootstrap/debootstrap --second-stage Those commands copy an arm emulator on the target filesystem, and use the chroot command to execute the second stage of the installation into the SD card, on the PC, with transparent emulation:   I: Installing core packages...   I: Unpacking required packages...   I: Unpacking libacl1:armhf...   I: Unpacking libattr1:armhf...   I: Unpacking base-files...   (...)   I: Configuring tasksel...   I: Configuring tasksel-data...   I: Configuring libc-bin...   I: Base system installed successfully. You can now remove /mnt/usr/bin/qemu-arm-static, or keep it for later, subsequent chroot under emulation. Finetuning the root filesystem For development it is handy to remove the root password on the target by removing the '*' from /mnt/etc/shadow on the SD card:   root::15880:0:99999:7::: Also, we can add the following line in /mnt/etc/inittab to obtain a login prompt on the UART:   T0:23:respawn:/sbin/getty -L ttymxc0 115200 vt100 You can now unmount the filesystem with:   # umount /mnt Boot! Your SD card is ready for booting. Insert it in the SD card slot of your i.MX6 sabre sd platform, connect to the USB to UART port with a serial terminal set to 115200 baud, no parity, 8bit data and power up the platform. At the time of writing u-boot tells the kernel to boot from the wrong partition by default, so we need to interrupt by pressing enter at u-boot prompt for the first boot and setup u-boot environment to fix this:   U-Boot > setenv mmcroot /dev/mmcblk0p2 rootwait rw   U-Boot > saveenv   Saving Environment to MMC...   Writing to MMC(1)... done As this is saved in the SD card it need only to be done once at first boot. You can reboot your board or type boot; your Debian system should boot to a prompt:   (...)   [ ok ] Starting periodic command scheduler: cron.   [ ok ] Running local boot scripts (/etc/rc.local).   Debian GNU/Linux jessie/sid debian ttymxc0   debian login: From there you may login as root. It is recommended to setup the network connection and install an ssh server inside the target for further development. Enjoy! See also... With the amounts of memory we have today in the systems, it is even possible to boot Debian in a ramdisk. See this post about busybox for the ramdisk generation. Another way of generating a root filesystem is by building it with buildroot. See and this post for details.

                                                                                         Watch the Freescale i.MX team boot up Android 5.0 Lollipop in i.mx6 application processors—在线播放—优酷网，视频高清在线观看 The Freescale i.MX Android team has booted up Android 5.0 Lollipop in the SABRE platform for i.mx6 series. Google pushed all of the latest source for its Android release to AOSP on Nov. 5, and the Freescale Android Team started their work. With the previous 6 days to boot Android Lollipop up, the Freescale i.MX Android team enabled the basic features like connectivity, audio/video playback, sensors, inputs and display on day 7! You can see the some changes in the demo video at the beginning of the post. The Freescale i.MX Android team has closely followed almost every version of Android since it is released by AOSP and has good experience on it. Below are some snapshots and pictures for the Android Lollipop.

The Linux L4.9.11_1.0.0 RFP(GA) for i.MX6 release files are now available on www.nxp.com    Files available: # Name Description 1 L4.9.11_1.0.0-ga_images_MX6QPDLSOLOX.tar.gz i.MX 6QuadPlus, i.MX 6Quad, i.MX 6DualPlus, i.MX 6Dual, i.MX 6DualLite, i.MX 6Solo, i.MX 6Solox Linux Binary Demo Files 2 L4.9.11_1.0.0-ga_images_MX6SLEVK.tar.gz i.MX 6Sololite EVK Linux Binary Demo Files 3 L4.9.11_1.0.0-ga_images_MX6UL7D.tar.gz i.MX 6UltraLite EVK, 7Dual SABRESD, 6ULL EVK Linux Binary Demo Files 4 L4.9.11_1.0.0-ga_images_MX6SLLEVK.tar.gz i.MX 6SLL EVK Linux Binary Demo Files 5 L4.9.11_1.0.0-ga_images_MX7ULPEVK.tar.gz i.MX 7ULP EVK Linux Binary Demo Files  6 L4.9.11_1.0.0-ga_mfg-tools.tar.gz i.MX Manufacturing Toolkit for Linux L4.9.11_1.0.0 BSP 7 L4.9.11_1.0.0-ga_gpu-tools.tar.gz L4.9.11_1.0.0 i.MX VivanteVTK file 8 bcmdhd-1.141.100.6.tar.gz The Broadcom firmware package for i.MX Linux L4.9.11_1.0.0 BSP. 9 imx-aacpcodec-4.2.1.tar.gz Linux AAC Plus Codec for L4.9.11_1.0.0 10 fsl-yocto-L4.9.11_1.0.0.tar.gz L4.9.11_1.0.0 for Linux BSP Documentation. Includes Release Notes, User Guide.   Target boards: i.MX 6QuadPlus SABRE-SD Board and Platform i.MX 6QuadPlus SABRE-AI Board i.MX 6Quad SABRE-SD Board and Platform i.MX 6DualLite SABRE-SD Board i.MX 6Quad SABRE-AI Board i.MX 6DualLite SABRE-AI Board i.MX 6SoloLite EVK Board i.MX 6SoloX SABRE-SD Board i.MX 6SoloX SABRE-AI Board i.MX 7Dual SABRE-SD Board i.MX 6UltraLite EVK Board i.MX 6ULL EVK Board i.MX 6SLL EVK Board i.MX 7ULP EVK Board (Beta Quality)   What’s New/Features: Please consult the Release Notes.   Known issues For known issues and more details please consult the Release Notes.   More information on changes, see: README: https://source.codeaurora.org/external/imx/fsl-arm-yocto-bsp/tree/README?h=imx-morty ChangeLog: https://source.codeaurora.org/external/imx/fsl-arm-yocto-bsp/tree/ChangeLog?h=imx-morty

meta-avs-demos Yocto layer meta-avs-demos is a Yocto meta layer (complementary to the NXP BSP release for i.MX) published on CodeAurora that includes the additional required packages to support  Amazon's Alexa Voice Services SDK (AVS_SDK) applications. The build procedure is the described on the README.md of the corresponding branch. We have 2 fuctional branches now: imx-alexa-sdk: Support for Morty based i.mx releases imx7d-pico-avs-sdk_4.1.15-1.0.0: legacy support for Jethro releases The master branch is only used to collect manifest files, that used with repo init/sync commands will fetch the whole environment for the 2 special supported boards: i.MX7D Pico Pi and i.MX8M EVK. However the meta-avs-demos can be used with any i.MX board either. Recipes to include Amazon's Alexa Voice Services in your applications. The meta-avs-demos provides the required recipes to build an i.MX image with the support for running Alexa SDK. The imx-alexa-sdk branch is based on Morty and kernel 4.9.X and it supports the next builds: i.MX7D Pico Pi i.MX8M EVK Generic i.MX board For the i.MX7D Pico Pi and i.MX8M EVK there is an extended support for additional (external) Sound Cards like: TechNexion VoiceHat: 2Mic Array board with DSPConcepts SW support Synaptics Card: 2 Mic with Sensory WakeWord support The Generic i.MX is for any other regular i.MX board supported on the official NXP BSP releases. Only the default soundcard (embedded) on the board is supported. Sensory wakeword is currently only enabled for those with ARMV7 architecture. To support any external board like the VoiceHat or Synaptics is up to the user to include the additional patches/changes required. Build Instructions Follow the corresponding README file to follow the steps to build an image with Alexa SDK support README-IMX7D-PICOPI.md README-IMX8M-EVK.md README-IMX-GENERIC.md

The i.MX Android O8.0.0_1.0.0 GA release is now available from IMX_SW page. Overview -> BSP Updates and Releases -> Android 8.0.0 Oreo (O8.0.0_1.0.0, 4.9 kernel)   Files available: # Name Description 1 android_O8.0.0_1.0.0_docs.tar.gz i.MX Android O8.0.0_1.0.0 BSP Documentation 2 imx-o8.0.0_1.0.0_ga.tar.gz i.MX Android O8.0.0_1.0.0 proprietary surce code for i.MX 6QuadPlus, i.MX 6Quad, i.MX 6DualPlus, i.MX 6Dual, i.MX 6DualLite, i.MX 6Solo  i.MX 6Sololite, i.MX6SX and i.MX7D 3 android_O8.0.0_1.0.0_image_6dqpsabreauto.tar.gz Binary Demo Files of Android O8.0.0_1.0.0 BSP - SABRE for Automotive Infotainment based on i.MX 6QuadPlus, i.MX 6Quad, and i.MX 6DualLite 4 android_O8.0.0_1.0.0_image_6dqpsabresd.tar.gz Binary Demo Files of Android O8.0.0_1.0.0 BSP - SABRE Platform and SABRE Board based on i.MX 6QuadPlus, i.MX 6Quad and i.MX 6DualLite. 5 android_O8.0.0_1.0.0_image_6slevk.tar.gz Binary Demo Files of Android O8.0.0_1.0.0 BSP - i.MX 6Sololite evaluation kit. 6 android_O8.0.0_1.0.0_image_6sxsabresd.tar.gz Binary Demo Files of Android O8.0.0_1.0.0 BSP - SABRE Board based on i.MX 6SoloX 7 android_O8.0.0_1.0.0_image_6sxsabreauto.tar.gz Binary Demo Files of Android O8.0.0_1.0.0 BSP - SABRE for Automotive infotainment based on i.MX 6SoloX 8 android_O8.0.0_1.0.0_image_7dsabresd.tar.gz Binary Demo Files of Android O8.0.0_1.0.0 BSP - SABRE Board based on i.MX 7Dual 9 fsl_aacp_dec_O8.0.0_1.0.0.tar.gz AAC Plus Codec for O8.0.0_1.0.0 10 android_O8.0.0_1.0.0_tools.tar.gz Manufacturing Toolkit and VivanteVTK for O8.0.0_1.0.0   Supported Hardware SoC/Boards: i.MX 6Quad, i.MX 6QuadPlus, and i.MX 6DualLite SABRE-SD board and platform i.MX 6Quad, i.MX 6QuadPlus, and i.MX 6DualLite SABRE-AI board and platform i.MX 6SoloLite EVK platform i.MX 6SoloX SABRE-SD board and platforms i.MX 6SoloX SABRE-AI board and platforms i.MX 7Dual SABRE-SD board and platform   Changes: Compared to the N7.1.2_2.0.0 release, this release has the following major changes: Upgraded the Android code base from android-7.1.2_r9 to android-8.0.0_r25. Removed the device partition and added the vendor partition. Enabled ION-based gralloc and EGL. Feature: For features please consult the release notes.   Known issues For known issues and more details please consult the Release Notes.

Using a RAW NAND is more difficult compared to eMMC, but for lower capacity it is still cheaper. Even with the ONFI (Open NAND Flash Interface) you can face initialization issue you can find by measure performance. I will take example of a non-well supported flash, I have installed on my evaluation board (SABRE AI). I wanted to do a simple performance test, to check roughly the MB/s I can expected with this NAND. One of a simplest test is to use the dd command: root@imx6qdlsolo:~# time dd if=/dev/mtd4 of=/dev/null 851968+0 records in 851968+0 records out 436207616 bytes (436 MB, 416 MiB) copied, 131.8884 s, 3.3 MB/s ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ As my RAW was supposed to work in EDO Mode 5, I could expect more than 20MB/s. To check what was wrong, read you kernel startup log: Booting Linux on physical CPU 0x0 Linux version 4.1.15-2.0.0+gb63f3f5 (bamboo@yb6) (gcc version 5.3.0 (GCC) ) #1 SMP PREEMPT Fri Sep 16 15:02:15 CDT 2016 CPU: ARMv7 Processor [412fc09a] revision 10 (ARMv7), cr=10c53c7d CPU: PIPT / VIPT nonaliasing data cache, VIPT aliasing instruction cache Machine model: Freescale i.MX6 DualLite/Solo SABRE Automotive Board [...] Amd/Fujitsu Extended Query Table at 0x0040 Amd/Fujitsu Extended Query version 1.3. number of CFI chips: 1 nand: device found, Manufacturer ID: 0xc2, Chip ID: 0xdc nand: Macronix MX30LF4G18AC nand: 512 MiB, SLC, erase size: 128 KiB, page size: 2048, OOB size: 64 gpmi-nand 112000.gpmi-nand: mode:5 ,failed in set feature. Bad block table found at page 262080, version 0x01 Bad block table found at page 262016, version 0x01 nand_read_bbt: bad block at 0x00000a7e0000 nand_read_bbt: bad block at 0x00000dc80000 4 cmdlinepart partitions found on MTD device gpmi-nand Creating 4 MTD partitions on "gpmi-nand":‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ On line 13 you can read "mode:5, failed in set feature", meaning you are not in mode 5... so you have the "relaxed" timing you have at boot. After debuging your code (I have just remove the NAND back reading security check), you can redo the test: root@imx6qdlsolo:~# time dd if=/dev/mtd4 of=/dev/null 851968+0 records in 851968+0 records out 436207616 bytes (436 MB, 416 MiB) copied, 32.9721 s, 13.2 MB/s‍‍‍‍‍‍‍‍‍‍‍‍ So you multiplied the performances by 4! Anyway, you have a better tool to measure your NAND performance, it is mtd_speedtest, but you have to rebuild your kernel. In Yocto, reconfigure your kernel (on your PC of couse!): bitbake virtual/kernel -c menuconfig‍‍‍ Choose in the menu "Device Drivers" -> "Memory Technology Device (MTD) support" -> "MTD tests support", even it it not recommended! bitbake virtual/kernel -f -c compile bitbake virtual/kernel -f -c build bitbake virtual/kernel -f -c deploy‍‍‍‍‍‍‍‍‍ Then reflash you board (kernel + rootfs as tests are .ko files): Then you can do more accurate performance test: insmod /lib/modules/4.1.29-fslc+g59b38c3/kernel/drivers/mtd/tests/mtd_speedtest.ko dev=2 ================================================= mtd_speedtest: MTD device: 2 mtd_speedtest: MTD device size 16777216, eraseblock size 131072, page size 2048, count of eraseblocks 128, pages per eraseblock 64, OOB size 64 mtd_test: scanning for bad eraseblocks mtd_test: scanned 128 eraseblocks, 0 are bad mtd_speedtest: testing eraseblock write speed mtd_speedtest: eraseblock write speed is 4537 KiB/s mtd_speedtest: testing eraseblock read speed mtd_speedtest: eraseblock read speed is 16384 KiB/s mtd_speedtest: testing page write speed mtd_speedtest: page write speed is 4250 KiB/s mtd_speedtest: testing page read speed mtd_speedtest: page read speed is 15784 KiB/s mtd_speedtest: testing 2 page write speed mtd_speedtest: 2 page write speed is 4426 KiB/s mtd_speedtest: testing 2 page read speed mtd_speedtest: 2 page read speed is 16047 KiB/s mtd_speedtest: Testing erase speed mtd_speedtest: erase speed is 244537 KiB/s mtd_speedtest: Testing 2x multi-block erase speed mtd_speedtest: 2x multi-block erase speed is 252061 KiB/s mtd_speedtest: Testing 4x multi-block erase speed mtd_speedtest: 4x multi-block erase speed is 256000 KiB/s mtd_speedtest: Testing 8x multi-block erase speed mtd_speedtest: 8x multi-block erase speed is 260063 KiB/s mtd_speedtest: Testing 16x multi-block erase speed mtd_speedtest: 16x multi-block erase speed is 260063 KiB/s mtd_speedtest: Testing 32x multi-block erase speed mtd_speedtest: 32x multi-block erase speed is 256000 KiB/s mtd_speedtest: Testing 64x multi-block erase speed mtd_speedtest: 64x multi-block erase speed is 260063 KiB/s mtd_speedtest: finished =================================================‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ You can now achieve almost 16MB/s, better than the dd test. Of course you cannot achieve more than 20MB/s, but you are not that far, and the NAND driver need optimizations. To redo the test: rmmod /lib/modules/4.1.29-fslc+g59b38c3/kernel/drivers/mtd/tests/mtd_speedtest.ko insmod /lib/modules/4.1.29-fslc+g59b38c3/kernel/drivers/mtd/tests/mtd_speedtest.ko dev=2 To check your NAND is in EDO mode 5, you can check your clock tree: /unit_tests/dump-clocks.sh clock          parent   flags    en_cnt pre_cnt      rate [...] gpmi_bch_apb   ---      00000005   0       0       198000000 gpmi_bch       ---      00000005   0       0       198000000 gpmi_io        ---      00000005   0       0        99000000 gpmi_apb       ---      00000005   0       0       198000000‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ The IO are clocked now at 99MHz, thus you can read at 49.5MHz (20ns in EDO mode 5 definition).

Please make sure design is follow below checking list before checking this guide. HW Design Checking List for i.MX6DQSDL

INTRODUCTION REQUIREMENTS CREATE A NEW PROJECT GPU EXAMPLE GSTREAMER EXAMPLE 1. INTRODUCTION:      The below steps show how to create different application examples using Elipse IDE. 2. REQUIREMENTS:      A fully working image and meta-toolchain generated in Yocto . You can follow the  next training: Yocto Training - HOME      Install and configure the Yocto Eclipse Plug-in. For more details about this requirement please refer to Setting up the Eclipse IDE for Yocto Application Development         To demonstrate the steps, L3.14.28  BSP, fsl-image-qt5 image and i.MX6Q SABRE-SDP board were used. 3. CREATE A NEW PROJECT      Follow the section Creating a Hello World Project of this document Setting up the Eclipse IDE for Yocto Application Development 4. GPU EXAMPLE           For this project we use the source code found in the fsl-gpu-sdk that can be downloaded from:      https://www.freescale.com/webapp/Download?colCode=IMX6_GPU_SDK&location=null&Parent_nodeId=1337637154535695831062&Parent…      Follow section 3 and create a new project named gputest.      From the IMX6_GPU_SDK choose one of the examples of GLES2.0 folder. In this case the 01_SimpleTriangle is chosen.      Copy the .c and .h files to the src directory of the gputest project. The Project Explorer window should look like this:              Add the needed files and libraries to compile and link in the Makefile.am file found in the ´src´ folder. The Makefile.am file should have the below content:          bin_PROGRAMS = gputest          gputest_SOURCES = gputest.c fsl_egl.c fslutil.c          AM_CFLAGS = @gputest_CFLAGS@          AM_LDFLAGS = @gputest_LIBS@ -lstdc++ -lm -lGLESv2 -lEGL -lX11 -ldl          CLEANFILES = *~ ​    Add the PATH to CFLAGS where the compiler will look for the headers at Project->Properties->Autotools->configure:           In this project there is no need to add extra PATHs for the headers. Apply the changes by clicking on Reconfigure Project. Build the project To test the file you can send the executable to the board with:           $ scp gputest root@<board_ip>:/home/root      $./gputest      You should get the next output in the display: 5. GSTREAMER EXAMPLE      For this project we use the source code found at Basic tutorial 1: Hello world! - GStreamer SDK documentation - GStreamer SDK documentation    Follow section 3 and create a new project named Gstreamer.    Copy the code of the basic tutorial to your Gstreamer.c file.    Add the needed files and libraries to compile and link in the Makefile.am file found in the ´src´ folder. The Makefile.am file should have the below content:                           bin_PROGRAMS = Gstreamer      Gstreamer_SOURCES = Gstreamer.c      AM_CFLAGS = @Gstreamer_CFLAGS@      AM_LDFLAGS = @Gstreamer_LIBS@ -lstdc++  -lVDK -lm -lGLESv2 -lGAL -lEGL  -ldl -lgstreamer-0.10 -lgobject-2.0 -lgmodule-2.0 -lgthread-2.0 -lrt -lxml2 -lglib-2.0      CLEANFILES = *~         ​    Add the PATH to CFLAGS where the compiler will look for the headers at Project->Properties->Autotools->configure:           For this example the next lines are added             -I${Sysroot}/usr/include/gstreamer-1.0        -I${Sysroot}/usr/include/glib-2.0        -I${Sysroot}/usr/include/libxml2        -I${Sysroot}/usr/lib/glib-2.0/include      Apply the changes by clicking on Reconfigure Project. Build the project To test the file you can send the executable to the board with:           $ scp Gstreamer root@<board_ip>:/home/root To execute the application on the board:      $./Gstreamer The board should have internet access and the application should play the video found at http://docs.gstreamer.com/media/sintel_trailer-480p.webm

Requirements: Host machine with Ubuntu 14.04 UDOO Quad/Dual Board uSD card with at least 8 GB Download documentation and install latest Official Udoobuntu OS (at the moment of writing: UDOObuntu 2.1.2), https://www.udoo.org/downloads/   Overview: This document describes how to install and test Keras (Open source neural network library) and Theano (numerical computation library for python ) for deep learning library usage on i.MX6QD UDOO board.  Installation: $ sudo apt-get update && sudo apt-get upgrade update your date system: e.g. $ sudo date -s “07/08/2017 12:00” First satisfy the run-time and build time dependencies: $ sudo apt-get install python-software-properties software-properties-common make unzip zlib1g-dev git pkg-config autoconf automake libtool curl  python-pip python-numpy libblas-dev liblapack-dev python-dev libatlas-base-dev gfortran libhdf5-serial-dev libhdf5-dev python-setuptools libyaml-dev libpython2.7-dev $ sudo easy_install scipy The last step is installing scipy through pip, and can take several hours. Theano First, we have a few more dependencies to get: $sudo pip install scikit-learn $sudo pip install pillow $sudo pip install h5py With these dependencies met, we can install a stable Theano release from the git source: $ git clone https://github.com/Theano/Theano $ cd Theano Numpy 1.9 cause conflicts with armv7, so we need to change the setup.py configuration: $ sudo nano setup.py Remove line    #       install_requires=['numpy>=1.9.1', 'scipy>=0.14', 'six>=1.9.0'], And add setup_requires=["numpy"], install_requires=["numpy"], Then install it: $ sudo python setup.py install Keras The installation can occur with the command: (this could take a lot of time!!!) $ cd .. $ git clone https://github.com/fchollet/keras.git $ cd keras $ sudo python setup.py install $ LC_ALL=C $sudo pip install --upgrade keras After Keras is installed, you will want to edit the Keras configuration file ~/.keras/keras.json to use Theano instead of the default TensorFlow backend. If it isn't there, you can create it. This requires changing two lines. The first change is: "image_dim_ordering": "tf"  --> "image_dim_ordering": "th" and the second: "backend": "tensorflow" --> "backend": "theano" (The final file should look like the example below) sudo nano ~/.keras/keras.json {     "image_dim_ordering": "th",     "epsilon": 1e-07,     "floatx": "float32",     "image_data_format": "channels_last",     "backend": "theano" } You can also define the environment variable KERAS_BACKEND and this will override what is defined in your config file : $ KERAS_BACKEND=theano python -c "from keras import backend" Testing Quick test: udooer@udoo:~$ python Python 2.7.6 (default, Oct 26 2016, 20:46:32) [GCC 4.8.4] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import keras Using Theano backend. >>>  Test 2: Be aware this test take some time (~1hr on udoo dual): $ curl -sSL -k https://github.com/fchollet/keras/raw/master/examples/mnist_mlp.py | python Output: For demonstration, deep-learning-models repository provided by pyimagesearch and from fchollet git, and also have three Keras models (VGG16, VGG19, and ResNet50) online — these networks are pre-trained on the ImageNet dataset, meaning that they can recognize 1,000 common object classes out-of-the-box. $ cd keras $ git clone https://github.com/fchollet/deep-learning-models $ Cd deep-learning-models $ ls -l Notice how we have four Python files. The resnet50.py , vgg16.py , and vgg19.py  files correspond to their respective network architecture definitions. The imagenet_utils  file, as the name suggests, contains a couple helper functions that allow us to prepare images for classification as well as obtain the final class label predictions from the network Classify ImageNet classes with ResNet50 ResNet50 model, with weights pre-trained on ImageNet. This model is available for both the Theano and TensorFlow backend, and can be built both with "channels_first" data format (channels, height, width) or "channels_last" data format (height, width, channels). The default input size for this model is 224x224. We are now ready to write some Python code to classify image contents utilizing  convolutional Neural Networks (CNNs) pre-trained on the ImageNet dataset. For udoo Quad/Dual use ResNet50 due to avoid space conflict. Also we are going to use ImageNet (http://image-net.org/) that is an image database organized according to the WordNet hierarchy, in which each node of the hierarchy is depicted by hundreds and thousands of images. from keras.applications.resnet50 import ResNet50 from keras.preprocessing import image from keras.applications.resnet50 import preprocess_input, decode_predictions import numpy as np   model = ResNet50(weights='imagenet')   #for this sample I download the image from: http://i.imgur.com/wpxMwsR.jpg  img_path = 'elephant.jpg' img = image.load_img(img_path, target_size=(224, 224)) x = image.img_to_array(img) x = np.expand_dims(x, axis=0) x = preprocess_input(x)   preds = model.predict(x) # decode the results into a list of tuples (class, description, probability) # (one such list for each sample in the batch) print('Predicted:', decode_predictions(preds, top=3)[0]) Save the file an run it. Results for elephant image: Top prediction was 0.8890 for African Elephant Testing with this image: http://i.imgur.com/4FIOwAN.jpg Results: Top prediction was: 0.7799 for golden_retriever. Now your Udoo is ready to use Keras and Theano as Deep Learning libraries, next time we are going to show some usage example for image classification models with OpenCV. References: GitHub - fchollet/keras: Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.  GitHub - Theano/Theano: Theano is a Python library that allows you to define, optimize, and evaluate mathematical expres…  GitHub - fchollet/deep-learning-models: Keras code and weights files for popular deep learning models.  Installing Keras for deep learning - PyImageSearch 

Here we show how to generate a minimal root filesystem fairly quickly with BusyBox, for the i.MX6 sabre sd platform. This document assumes you are able to boot a Linux kernel on your platform already. See this post for details on how to do it. This implies you already have a "working" Linux development environment with some ARM cross-compilers at hand (e.g. Debian + Emdebian). busybox is so small that we will go for a ramdisk as our main root filesystem. Get busybox sources We will use git to fetch busybox sources:   $ git clone git://git.busybox.net/busybox This should create a busybox directory with all the latest sources. Note that for more stability you might want to checkout a release instead of the latest version; to do so, list the available release tags with e.g. git tag -l, and git checkout <the-desired-tag>. Compile Assuming your cross compiler is called e.g. arm-linux-gnueabihf-gcc, you can compile by doing:   $ cd busybox   $ export ARCH=arm   $ export CROSS_COMPILE=arm-linux-gnueabihf-   $ make defconfig   $ sed -i.orig 's/^#.*CONFIG_STATIC.*/CONFIG_STATIC=y/' .config   $ make   $ make install This should create an _install folder hierarchy containing binaries and links. Note that we force the build of a static binary with the sed command. Configure the root filesystem We need to add some more configuration into the _install folder before we can call it a minimal filesystem. Create some folders We need to create some mountpoints and folders:   $ mkdir _install/dev   $ mkdir _install/proc   $ mkdir _install/sys   $ mkdir -p _install/etc/init.d Add some configuration files and scripts We need to prepare the main init configuration file, _install/etc/inittab, with this contents:   ::sysinit:/etc/init.d/rcS   ::askfirst:/bin/sh   ::ctrlaltdel:/sbin/reboot   ::shutdown:/sbin/swapoff -a   ::shutdown:/bin/umount -a -r   ::restart:/sbin/init This is very close to the default behavior busybox init has with no inittab file. It just suppresses some warnings about missing tty. We need to add some more configuration to mount a few filesystems at boot for convenience. This is done with an _install/etc/fstab file containing:   proc     /proc proc     defaults 0 0   sysfs    /sys  sysfs    defaults 0 0   devtmpfs /dev  devtmpfs defaults 0 0 We also need to actually trigger the mount in the _install/etc/init.d/rcS script, which is called from the inittab. It should contain:   #!/bin/sh   mount -a And we need to make it executable:   $ chmod +x _install/etc/init.d/rcS Generate the ramdisk contents Now that we have adapted the root filesystem contents, we can generate a busybox ramdisk image for u-boot with the following commands:   $ (cd _install ; find |cpio -o -H newc |gzip -c > ../initramfs.cpio.gz)   $ mkimage -A arm -T ramdisk -d initramfs.cpio.gz uInitrd This results in a uInitrd file, suitable for u-boot. Prepare a boot script The default u-boot commands are not sufficient to boot our system, so we need to edit a boot.txt file with the following contents:   run loaduimage   run loadfdt   setenv rdaddr 0x13000000   fatload mmc ${mmcdev}:$mmcpart $rdaddr uInitrd   setenv bootargs console=${console},${baudrate} rdinit=/sbin/init   bootm $loadaddr $rdaddr $fdt_addr Then we generate a boot.scr script, which can be loaded by u-boot with:   $ mkimage -A arm -T script -d boot.txt boot.scr Put on SD card Assuming you have prepared your SD card with u-boot and Linux as explained in this post, you have a single FAT partition on your card with your kernel and dtb. Our boot script and ramdisk image should be copied alongside:   $ mount /dev/<your-sd-card-first-partition> /mnt   $ cp uInitrd boot.scr /mnt/   $ umount /mnt Your SD card first partition is typically something in /dev/sd<X>1 or /dev/mmcblk<X>p1. Note that you need write permissions on the SD card for the command to succeed, so you might need to su - as root, or use sudo, or do achmod a+w as root on the SD card device node to grant permissions to users. Boot! Your SD card is ready for booting. Insert it in the SD card slot of your i.MX6 sabre sd platform, connect to the USB to UART port with a serial terminal set to 115200 baud, no parity, 8bit data and power up the platform. Your busybox system should boot to a prompt:   ...   Freeing unused kernel memory: 292K (806d5000 - 8071e000)   Please press Enter to activate this console. After pressing enter you should have a functional busybox shell on the target. Enjoy! See also... For a more featured root filesystem you might want to try a Debian filesystem in a second SD card partition, as explained in this post, or generate your filesystem with Buildroot. If you plan to compile busybox often, you might want to use a C compiler cache; see this post.

    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 ARMv7 and tested on imx6ulevk/imx6ull14x14evk/imx6qpsabresd/imx6dlsabresd/imx6sxsabresdimx6slevk boards. I also did stress test by tool stress-ng on some boards.      You need to git clone https://gitee.com/zxd2021-imx/xenomai-arm.git, and git checkout Linux-4.19.35-1.1.0. (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-${XENOMAI_KERNEL_MODE}" IMAGE_INSTALL_append += " xenomai" DISTRO_FEATURES_remove = "optee" or XENOMAI_KERNEL_MODE = "mercury" PREFERRED_VERSION_linux-imx = "4.19-${XENOMAI_KERNEL_MODE}" IMAGE_INSTALL_append += " xenomai" DISTRO_FEATURES_remove = "optee" 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 50 -t 5 -m -n -i 1000 😞 //Mecury on 6ULL with stress-ng --cpu 4 --io 2 --vm 1 --vm-bytes 128M --metrics-brief policy: fifo: loadavg: 6.08 2.17 0.81 8/101 534 T: 0 (  530) P:99 I:1000 C:  74474 Min:     23 Act:  235 Avg:   77 Max:    8278 T: 1 (  531) P:99 I:1500 C:  49482 Min:     24 Act:   32 Avg:   56 Max:    8277 T: 2 (  532) P:99 I:2000 C:  36805 Min:     24 Act:   38 Avg:   79 Max:    8170 T: 3 (  533) P:99 I:2500 C:  29333 Min:     25 Act:   41 Avg:   54 Max:    7069 T: 4 (  534) P:99 I:3000 C:  24344 Min:     24 Act:   51 Avg:   60 Max:    7193   //Cobalt on 6ULL with stress-ng --cpu 4 --io 2 --vm 1 --vm-bytes 128M --metrics-brief policy: fifo: loadavg: 7.02 6.50 4.01 8/100 660 T: 0 (  652) P:50 I:1000 C: 560348 Min:      1 Act:   10 Avg:   15 Max:      71 T: 1 (  653) P:50 I:1500 C: 373556 Min:      1 Act:    9 Avg:   17 Max:      78 T: 2 (  654) P:50 I:2000 C: 280157 Min:      2 Act:   14 Avg:   20 Max:      64 T: 3 (  655) P:50 I:2500 C: 224120 Min:      1 Act:   12 Avg:   15 Max:      57 T: 4 (  656) P:50 I:3000 C: 186765 Min:      1 Act:   31 Avg:   19 Max:      53   //Cobalt on 6qp with stress-ng --cpu 4 --io 2 --vm 1 --vm-bytes 512M --metrics-brief policy: fifo: loadavg: 8.11 7.44 4.45 8/156 1057 T: 0 (  917) P:50 I:1000 C: 686106 Min:      0 Act:    3 Avg:    5 Max:      53 T: 1 (  918) P:50 I:1500 C: 457395 Min:      0 Act:    3 Avg:    5 Max:      49 T: 2 (  919) P:50 I:2000 C: 342866 Min:      0 Act:    2 Avg:    4 Max:      43 T: 3 (  920) P:50 I:2500 C: 274425 Min:      0 Act:    3 Avg:    5 Max:      58 T: 4 (  921) P:50 I:3000 C: 228682 Min:      0 Act:    2 Avg:    6 Max:      46   //Cobalt on 6dl with stress-ng --cpu 2 --io 2 --vm 1 --vm-bytes 256M --metrics-brief policy: fifo: loadavg: 3.35 4.15 2.47 1/122 850 T: 0 (  729) P:50 I:1000 C: 608088 Min:      0 Act:    1 Avg:    3 Max:      34 T: 1 (  730) P:50 I:1500 C: 405389 Min:      0 Act:    0 Avg:    4 Max:      38 T: 2 (  731) P:50 I:2000 C: 304039 Min:      0 Act:    1 Avg:    4 Max:      45 T: 3 (  732) P:50 I:2500 C: 243225 Min:      0 Act:    0 Avg:    4 Max:      49 T: 4 (  733) P:50 I:3000 C: 202683 Min:      0 Act:    0 Avg:    5 Max:      38   //Cobalt on 6SX stress-ng --cpu 4 --io 2 --vm 1 --vm-bytes 512M  --metrics-brief policy: fifo: loadavg: 7.51 7.19 6.66 8/123 670 T: 0 (  598) P:50 I:1000 C:2314339 Min:      0 Act:    3 Avg:    8 Max:      60 T: 1 (  599) P:50 I:1500 C:1542873 Min:      0 Act:   15 Avg:    8 Max:      72 T: 2 (  600) P:50 I:2000 C:1157152 Min:      0 Act:    4 Avg:    9 Max:      55 T: 3 (  601) P:50 I:2500 C: 925721 Min:      0 Act:    5 Avg:    9 Max:      57 T: 4 (  602) P:50 I:3000 C: 771434 Min:      0 Act:    6 Avg:    6 Max:      41   //Cobalt on 6Solo lite stress-ng --cpu 4 --io 2 --vm 1 --vm-bytes 512M  --metrics-brief policy: fifo: loadavg: 7.01 7.04 6.93 8/104 598 T: 0 (  571) P:50 I:1000 C:3639967 Min:      0 Act:    9 Avg:    7 Max:      60 T: 1 (  572) P:50 I:1500 C:2426642 Min:      0 Act:    9 Avg:   11 Max:      66 T: 2 (  573) P:50 I:2000 C:1819980 Min:      0 Act:   11 Avg:   10 Max:      57 T: 3 (  574) P:50 I:2500 C:1455983 Min:      0 Act:   12 Avg:   10 Max:      56 T: 4 (  575) P:50 I:3000 C:1213316 Min:      0 Act:    7 Avg:    9 Max:      43   //Cobalt on 7d with stress-ng --cpu 2 --io 2 --vm 1 --vm-bytes 256M --metrics-brief policy: fifo: loadavg: 5.03 5.11 5.15 6/107 683 T: 0 (  626) P:50 I:1000 C:6842938 Min:      0 Act:    1 Avg:    2 Max:      63 T: 1 (  627) P:50 I:1500 C:4561953 Min:      0 Act:    4 Avg:    2 Max:      66 T: 2 (  628) P:50 I:2000 C:3421461 Min:      0 Act:    0 Avg:    2 Max:      69 T: 3 (  629) P:50 I:2500 C:2737166 Min:      0 Act:    3 Avg:    2 Max:      71 T: 4 (  630) P:50 I:3000 C:2280969 Min:      0 Act:    2 Avg:    1 Max:      33   //////////////////////////////////////// Update for Yocto L5.10.52 2.1.0  /////////////////////////////////////////////////////////// New release for Yocto release L5.10.52 2.1.0. You need to git clone https://gitee.com/zxd2021-imx/xenomai-arm and git checkout xenomai-5.10.52-2.1.0. Updating: 1, Upgrade Xenomai to v3.2 2, Enable Dovetail instead of ipipe. Copy xenomai-arm to <Yocto folder>/sources/meta-imx/meta-bsp/recipes-kernel, and add the following variable in conf/local.conf before build Image with xenomai enable by command bitake imx-image-multimedia. XENOMAI_KERNEL_MODE = "cobalt" IMAGE_INSTALL_append += " xenomai" or XENOMAI_KERNEL_MODE = "mercury" IMAGE_INSTALL_append += " xenomai" Notice: 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. //////////////////////////////////////// Update for Yocto L5.15.71 2.2.0  /////////////////////////////////////////////////////////// New release for Yocto release L5.15.71 2.2.0. You need to git clone https://gitee.com/zxd2021-imx/xenomai-arm and git checkout xenomai-5.15.71-2.2.0. Updating: 1, Upgrade Xenomai to v3.2.2 Copy xenomai-arm to <Yocto folder>/sources/meta-imx/meta-bsp/recipes-kernel, and add the following variable in conf/local.conf before build Image with xenomai enable by command bitake imx-image-multimedia. XENOMAI_KERNEL_MODE = "cobalt" IMAGE_INSTALL:append += " xenomai" or XENOMAI_KERNEL_MODE = "mercury" IMAGE_INSTALL:append += " xenomai" Notice: 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.   ///////// Later update for Later Yocto release, please refer to the following community post //////////// 移植实时Linux方案Xenomai到i.MX ARM64平台 (Enable real-time Linux Xenomai on i.MX ARM64 Platform)   

The Linux L4.9.88_2.0.0 Rocko, i.MX7ULP Linux/SDK2.4 RFP(GA) release files are now available. Linux on IMX_SW web page, Overview -> BSP Updates and Releases ->Linux L4.9.88_2.0.0 SDK on https://mcuxpresso.nxp.com/ web page.   Files available: Linux:  # Name Description 1 imx-yocto-L4.9.88_2.0.0.tar.gz L4.9.88_2.0.0 for Linux BSP Documentation. Includes Release Notes, User Guide. 2 L4.9.88_2.0.0_images_MX6QPDLSOLOX.tar.gz i.MX 6QuadPlus, i.MX 6Quad, i.MX 6DualPlus, i.MX 6Dual, i.MX 6DualLite, i.MX 6Solo, i.MX 6Solox Linux Binary Demo Files 3 L4.9.88_2.0.0_images_MX6SLEVK.tar.gz i.MX 6Sololite EVK Linux Binary Demo Files 4 L4.9.88_2.0.0_images_MX6UL7D.tar.gz i.MX 6UltraLite EVK, 7Dual SABRESD, 6ULL EVK Linux Binary Demo Files 5 L4.9.88_2.0.0_images_MX6SLLEVK.tar.gz i.MX 6SLL EVK Linux Binary Demo Files 6 L4.9.88_2.0.0_images_MX8MQ.tar.gz i.MX 8MQuad EVK Linux Binary Demo files 7 L4.9.88_images_MX7ULPEVK.tar.gz i.MX 7ULP EVK Linux Binary Demo Files  8 L4.9.88_2.0.0-ga_mfg-tools.tar.gz Manufacturing Toolkit for Linux L4.9.88_2.0.0 iMX6,7 BSP 9 L4.9.88_2.0.0_mfg-tool_MX8MQ.tar.gz Manufacturing Toolkit for Linux L4.9.88_2.0.0 i.MX8MQ BSP 10 imx-aacpcodec-4.3.5.tar.gz Linux AAC Plus Codec for L4.9.88_2.0.0   SDK:   On https://mcuxpresso.nxp.com/, click the Select Development Board to customize the SDK based on your configuration then download the SDK package.    Target board: i.MX 6QuadPlus SABRE-SD Board and Platform i.MX 6QuadPlus SABRE-AI Board i.MX 6Quad SABRE-SD Board and Platform i.MX 6DualLite SABRE-SD Board i.MX 6Quad SABRE-AI Board i.MX 6DualLite SABRE-AI Board i.MX 6SoloLite EVK Board i.MX 6SoloX SABRE-SD Board i.MX 6SoloX SABRE-AI Board i.MX 7Dual SABRE-SD Board i.MX 6UltraLite EVK Board i.MX 6ULL EVK Board i.MX 6SLL EVK Board i.MX 7ULP EVK Board i.MX 8MQ EVK Board   What’s New/Features: Please consult the Release Notes.   Known issues For known issues and more details please consult the Release Notes.   More information on changes of Yocto, see: README: https://source.codeaurora.org/external/imx/imx-manifest/tree/README?h=imx-linux-rocko ChangeLog: https://source.codeaurora.org/external/imx/imx-manifest/tree/ChangeLog?h=imx-linux-rocko

Hi, the document "how to create ubuntu hardfloat rootfs for imx6d/q" was shared by Junping Mao. https://community.freescale.com/docs/DOC-95387 Here, i build the OpenCV based on the ubuntu hardfloat rootfs for i.MX6Q sabre board. Details about building instruction pls refer to the attachment. Thanks! 

The i.MX Android N7.1.2_2.0.0 GA release is now available on IMX_SW page.   Files available: # Name Description 1 android_N7.1.2_2.0.0_docs.tar.gz i.MX Android N7.1.2_2.0.0 BSP Documentation 2 android_N7.1.2_2.0.0_source.tar.gz Source Code of Android N7.1.2_2.0.0 BSP (4.1 kernel) for i.MX 6QuadPlus, i.MX 6Quad, i.MX 6DualPlus, i.MX 6Dual, i.MX 6DualLite, i.MX 6Solo i.MX 6Sololite, i.MX6SX and i.MX7D 3 android_N7.1.2_2.0.0_image_6dqpsabreauto.tar.gz Binary Demo Files of Android N7.1.2_2.0.0 BSP - SABRE for Automotive Infotainment based on i.MX 6QuadPlus, i.MX 6Quad, and i.MX 6DualLite 4 android_N7.1.2_2.0.0_image_6dqpsabresd.tar.gz Binary Demo Files of Android N7.1.2_2.0.0 BSP - SABRE Platform and SABRE Board based on i.MX 6QuadPlus, i.MX 6Quad and i.MX 6DualLite. 5 android_N7.1.2_2.0.0_image_6slevk.tar.gz Binary Demo Files of Android N7.1.2_2.0.0 BSP - i.MX 6Sololite evaluation kit. 6 android_N7.1.2_2.0.0_image_6sxsabresd.tar.gz Binary Demo Files of Android N7.1.2_2.0.0 BSP - SABRE Board based on i.MX 6SoloX 7 android_N7.1.2_2.0.0_image_6sxsabreauto.tar.gz Binary Demo Files of Android N7.1.2_2.0.0 BSP - SABRE for Automotive infotainment based on i.MX 6SoloX 8 android_N7.1.2_2.0.0_image_7dsabresd.tar.gz Binary Demo Files of Android N7.1.2_2.0.0 BSP - SABRE Board based on i.MX 7Dual 9 fsl_aacp_dec.tar.gz AAC Plus Codec for N7.1.2_2.0.0 10 android_N7.1.2_2.0.0_tools.tar.gz Manufacturing Toolkit and VivanteVTK for N7.1.2_2.0.0   Supported Hardware SoC/Boards: i.MX 6Quad, i.MX 6QuadPlus, and i.MX 6DualLite SABRE-SD board and platform i.MX 6Quad, i.MX 6QuadPlus, and i.MX 6DualLite SABRE-AI board and platform i.MX 6SoloLite EVK platform i.MX 6SoloX SABRE-SD board and platforms i.MX 6SoloX SABRE-AI board and platforms i.MX 7Dual SABRE-SD board and platform   Changes: Compared to the N7.1.1_1.0.0 release, this release has the following major changes: Upgraded the Android code base from android-7.1.1_r13 to android-7.1.2_r9. Upgraded U-Boot from v2015.04 to v2017.03. Upgraded the kernel from v4.1.15 to v4.9.17. Upgraded the GPU driver from 6.2.0.p2 to 6.2.2.p1. Upgraded the Wi-Fi BCMDHD release version to 1.141.100.6. Refine the Gralloc and HWC HAL. Enable the GPT partition to replace the MBR partition.   Feature: For features please consult the release notes.   Known issues For known issues and more details please consult the Release Notes.