文章目录

  • 一、明确修改处（修改又用，但是有bug）
  • 二、bug解决
  • 三、问题总结

官方论坛资料

https://community.nxp.com/t5/i-MX-Processors/How-to-Flash-Android-9-on-IMX8-with-128G-eMMC/m-p/1176513

本文记录nxp的修改emmc分区大小的笔记，原本的emmc是16G的但是更换为64G的emmc后，内部的储存大小还是显示16G。

一、明确修改处（修改又用，但是有bug）

evk_8mp:/ $ df -h
vail Use% Mounted on
tmpfs                1.6G  804K  1.6G   1% /dev
tmpfs                1.6G     0  1.6G   0% /mnt
/dev/block/dm-4      953M  950M     0 100% /
/dev/block/dm-5      214M  214M     0 100% /product
/dev/block/dm-6      110M  109M     0 100% /system_ext
/dev/block/dm-7      546M  544M     0 100% /vendor
tmpfs                1.6G     0  1.6G   0% /apex
tmpfs                1.6G  252K  1.6G   1% /linkerconfig/dev/block/dm-9      8.3G   20M  8.2G   1% /data

通过df -h 命令查看分区挂载，如果没有修改分区按照默认的13G的算法，我们的/data的大小大约为8.3g（可用空间，总空间为16G）。

首先找到对应的BoardConfig.mk

{WORKSPACE}device/nxp/imx8m/evk_8mp/BoardConfig.mk

这里面有这样一段代码，通过阅读对应的手册可以知道，不同的bpt文件可以生成不同的Img,用于emmc启动还是SD卡启动。
对应的资料请看自己的参考手册。

# Support gpt
ifeq ($(TARGET_USE_DYNAMIC_PARTITIONS),true)BOARD_BPT_INPUT_FILES += $(CONFIG_REPO_PATH)/common/partition/device-partitions-13GB-ab_super.bptADDITION_BPT_PARTITION = partition-table-28GB:$(CONFIG_REPO_PATH)/common/partition/device-partitions-28GB-ab_super.bpt \partition-table-dual:$(CONFIG_REPO_PATH)/common/partition/device-partitions-13GB-ab-dual-bootloader_super.bpt \partition-table-28GB-dual:$(CONFIG_REPO_PATH)/common/partition/device-partitions-28GB-ab-dual-bootloader_super.bpt
elseifeq ($(IMX_NO_PRODUCT_PARTITION),true)BOARD_BPT_INPUT_FILES += $(CONFIG_REPO_PATH)/common/partition/device-partitions-13GB-ab-no-product.bptADDITION_BPT_PARTITION = partition-table-28GB:$(CONFIG_REPO_PATH)/common/partition/device-partitions-28GB-ab-no-product.bpt \partition-table-dual:$(CONFIG_REPO_PATH)/common/partition/device-partitions-13GB-ab-dual-bootloader-no-product.bpt \partition-table-28GB-dual:$(CONFIG_REPO_PATH)/common/partition/device-partitions-28GB-ab-dual-bootloader-no-product.bptelseBOARD_BPT_INPUT_FILES += $(CONFIG_REPO_PATH)/common/partition/device-partitions-13GB-ab.bptADDITION_BPT_PARTITION = partition-table-28GB:$(CONFIG_REPO_PATH)/common/partition/device-partitions-28GB-ab.bpt \partition-table-dual:$(CONFIG_REPO_PATH)/common/partition/device-partitions-13GB-ab-dual-bootloader.bpt \partition-table-28GB-dual:$(CONFIG_REPO_PATH)/common/partition/device-partitions-28GB-ab-dual-bootloader.bptendif
endif

由于我是默认的emmc启动，选择的是13GB的bpt，在对应的目录下打开bpt文件

  "settings": {"disk_size": "13 GiB", //只有这里不一样"disk_alignment": 2097152,"partitions_offset_begin": 8388608},

你要确定用的那个bpt，不确定的话可以把每个13GB都改为了56，然后编译，烧录。

修改：     device-partitions-13GB-ab-no-product.bpt
修改：     device-partitions-13GB-ab.bpt
修改：     device-partitions-13GB-ab_super.bpt

串口的时候出现了一段部不正常的log

[   11.213931] random: crng init done
[   11.217345] random: 7 urandom warning(s) missed due to ratelimiting
[   11.224639] wait_for_keymaster: Using SoftwareKeymasterDevice from Google for encryption.  Security level: SOFTWARE, HAL: android.hardware.keymaster@4.1::It
[   11.240599] wait_for_keymaster: Keymaster device ready
[   11.248383] init: Service 'wait_for_keymaster' (pid 250) exited with status 0 waiting took 4.298000 seconds
[   11.258208] init: Sending signal 9 to service 'wait_for_keymaster' (pid 250) process group...
[   11.266933] libprocessgroup: Successfully killed process cgroup uid 0 pid 250 in 0ms
[   11.276120] init: Calling: /system/bin/vdc checkpoint restoreCheckpoint /dev/block/by-name/userdata
[   11.311001] vdc: Command: checkpoint restoreCheckpoint /dev/block/by-name/userdata Failed: Status(-8, EX_SERVICE_SPECIFIC): '22: No magic'
[   11.325067] vdc: vdc terminated by exit(25)
[   11.329327] vdc:
[   11.331435] init: vdc call failed with error code: 25
[   11.336574] init: Calling: /system/bin/vdc checkpoint needsCheckpoint
[   11.363264] vdc: vdc terminated by exit(1)
[   11.367402] vdc:
[   11.370454] type=1400 audit(1644397493.516:8): avc: denied { setattr } for comm="kdevtmpfs" name="dm-8" dev="devtmpfs" ino=237 scontext=u:r:kernel:s0 tcont1
[   11.389154] device-mapper: table: 252:8: dm_table_destroy: dm_put_device call missing for 179:11
[   11.414903] type=1400 audit(1644397493.560:9): avc: denied { getattr } for comm="kdevtmpfs" path="/dm-8" dev="devtmpfs" ino=237 scontext=u:r:kernel:s0 tcon1
[   11.433806] type=1400 audit(1644397493.560:10): avc: denied { unlink } for comm="kdevtmpfs" name="dm-8" dev="devtmpfs" ino=237 scontext=u:r:kernel:s0 tcont1[   33.501154] **************************
[   33.504935] ***   GPU DRV CONFIG   ***
[   33.508734] **************************
[   33.512541] Galcore version 6.4.3.336687
[   33.516512] Galcore options:
[   33.519412]   irqLine           = 74
[   33.523036]   registerMemBase   = 0x38000000
[   33.527322]   registerMemSize   = 0x00008000
[   33.531615]   irqLine2D         = 75
[   33.535231]   registerMemBase2D = 0x38008000
[   33.539519]   registerMemSize2D = 0x00008000
[   33.543812]   contiguousSize    = 0x10000000
[   33.548099]   contiguousBase    = 0x0
[   33.551782]   externalSize      = 0x00000000
[   33.556088]   externalBase      = 0x0
[   33.559766]   bankSize          = 0x00000000
[   33.564060]   fastClear         = -1
[   33.567669]   compression       = 15
[   33.571269]   powerManagement   = 1
[   33.574772]   baseAddress       = 0x40000000
[   33.579088]   physSize          = 0xC0000000
[   33.583376]   recovery          = 0
[   33.586890]   stuckDump         = 0
[   33.590411]   userClusterMask   = 0x0
[   33.594092]   GPU smallBatch    = 1
[   33.597608]   allMapInOne       = 1
[   33.601134]   mmuException      = 1
[   33.604634]   irqs              =
[   33.604637] 74,
[   33.608062] -1,
[   33.609916] -1,
[   33.611792] -1,
[   33.613642] -1,
[   33.615491] -1,
[   33.617353] -1,
[   33.619203] -1,
[   33.621059] 75,
[   33.622940] -1,
[   33.624783]
[   33.628149]   registerBases     =
[   33.628152] 0x38000000,
[   33.631578] 0x00000000,
[   33.634129] 0x00000000,
[   33.636679] 0x00000000,
[   33.639235] 0x00000000,
[   33.641783] 0x00000000,
[   33.644350] 0x00000000,
[   33.646906] 0x00000000,
[   33.649462] 0x38008000,
[   33.652005] 0x00000000,
[   33.654579]
[   33.658626]   registerSizes     =
[   33.658635] 0x00008000,
[   33.662062] 0x00000000,
[   33.664625] 0x00000000,
[   33.667182] 0x00000000,
[   33.669731] 0x00000000,
[   33.672279] 0x00000000,
[   33.674848] 0x00000000,
[   33.677396] 0x00000000,
[   33.679947] 0x00008000,
[   33.682497] 0x00000000,
[   33.685065]
[   33.689121]   chipIDs           =
[   33.689130] 0xFFFFFFFF,
[   33.692542] 0xFFFFFFFF,
[   33.695112] 0xFFFFFFFF,
[   33.697662] 0xFFFFFFFF,
[   33.700211] 0xFFFFFFFF,
[   33.702761] 0xFFFFFFFF,
[   33.705316] 0xFFFFFFFF,
[   33.707860] 0xFFFFFFFF,
[   33.710418] 0xFFFFFFFF,
[   33.712961] 0xFFFFFFFF,
[   33.715530]
[   33.719584]   core 0 internal sRAMBases =
[   33.719586] 0xFFFFFFFFFFFFFFFF,
[   33.723702] 0xFFFFFFFFFFFFFFFF,
[   33.726962]
[   33.731718]   core 1 internal sRAMBases =
[   33.731720] 0xFFFFFFFFFFFFFFFF,
[   33.735834] 0xFFFFFFFFFFFFFFFF,
[   33.739098]
[   33.743850]   core 2 internal sRAMBases =
[   33.743852] 0xFFFFFFFFFFFFFFFF,
[   33.747967] 0xFFFFFFFFFFFFFFFF,
[   33.751232]
[   33.755979]   core 3 internal sRAMBases =
[   33.755988] 0xFFFFFFFFFFFFFFFF,
[   33.760102] 0xFFFFFFFFFFFFFFFF,
[   33.763363]
[   33.768114]   core 4 internal sRAMBases =
[   33.768116] 0xFFFFFFFFFFFFFFFF,
[   33.772230] 0xFFFFFFFFFFFFFFFF,
[   33.775491]
[   33.780243]   core 5 internal sRAMBases =
[   33.780245] 0xFFFFFFFFFFFFFFFF,
[   33.784359] 0xFFFFFFFFFFFFFFFF,
[   33.787620]
[   33.792371]   core 6 internal sRAMBases =
[   33.792374] 0xFFFFFFFFFFFFFFFF,
[   33.796488] 0xFFFFFFFFFFFFFFFF,
[   33.799750]
[   33.804502]   core 7 internal sRAMBases =
[   33.804505] 0xFFFFFFFFFFFFFFFF,
[   33.808619] 0xFFFFFFFFFFFFFFFF,
[   33.811881]
[   33.816627]   core 8 internal sRAMBases =
[   33.816636] 0xFFFFFFFFFFFFFFFF,
[   33.820783] 0xFFFFFFFFFFFFFFFF,
[   33.824073]
[   33.828820]   core 9 internal sRAMBases =
[   33.828830] 0xFFFFFFFFFFFFFFFF,
[   33.832944] 0xFFFFFFFFFFFFFFFF,
[   33.836207]
[   33.840958]   External sRAMBases =
[   33.840960] 0xffffffffffffffff,
[   33.844467] 0xffffffffffffffff,
[   33.847729]
[   33.852481]   mmuPageTablePool  = 1
[   33.855987]   mmuDynamicMap     = 1
[   33.859508] Build options:
[   33.862235]   gcdGPU_TIMEOUT    = 20000
[   33.866091]   gcdGPU_2D_TIMEOUT = 20000
[   33.869963]   gcdINTERRUPT_STATISTIC = 1
[   33.873920] GPU[0](ChipModel=0x7000 ChipRevision=0x6204):
[   33.879361] **************************
[   33.883125] ***   GPU STATE DUMP   ***
[   33.886898] **************************
[   33.890663]   axi      = 0x000000FD
[   33.894189]   idle     = 0x7FFFFFFE
[   33.897694]     FE not idle
[   33.900507]   DMA address is constant, but state is changing:
[   33.906294]     0x00000800
[   33.909012]     0x00000000
[   33.911744]   dmaLow   = 0x40000002
[   33.915248]   dmaHigh  = 0xA4200010
[   33.918773]   dmaState = 0x00000000
[   33.922279]     command state       = 0 (PAR_IDLE_ST)
[   33.927361]     command DMA state   = 0 (CMD_IDLE_ST)
[   33.932435]     command fetch state = 0 (FET_IDLE_ST)
[   33.937506]     DMA request state   = 0 (REQ_IDLE_ST)
[   33.942580]     cal state           = 0 (CAL_IDLE_ST)
[   33.947656]     VE request state    = 0 (VER_IDLE_ST)
[   33.952741]   Debug registers:
[   33.955823]     RA[0] debug registers:
[   33.959600]     [00] 00000000 00000000 00000000 00000000 031F0000 02000170 048D8630 68508040
[   33.968084]     [08] 911D6C00 00000000 00000000 00000000 00000000 00000008 030D0F14 00000000
[   33.976543]     [10] 00000008 22631121 75002004 78C00000 12344321 12344321 12344321 12344321
[   33.985018]     [18] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   33.993483]     [20] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.001960]     [28] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.010436]     [30] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.018915]     [38] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.027379]     [40] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.035864]     [48] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.044329]     [50] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.052820]     [58] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.061285]     [60] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.069763]     [68] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.078240]     [70] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.086708]     [78] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.095172]     [80] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.103661]     [88] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.112144]     [90] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.120627]     [98] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.129102]     [A0] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.137585]     [A8] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.146044]     [B0] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.154528]     [B8] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.162992]     [C0] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.171471]     [C8] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.179948]     [D0] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.188416]     [D8] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.196897]     [E0] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.205375]     [E8] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.213846]     [F0] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
[   34.222309]     [F8] 12344321 12344321 12344321 12344321 12344321 12344321 12344321 12344321
.........
.........
[   41.187256] A4201DA0 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.195888] A4201DC0 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.204534] A4201DE0 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.213166] A4201E00 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.221809] A4201E20 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.230442] A4201E40 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.239084] A4201E60 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.247717] A4201E80 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.256347] A4201EA0 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.264991] A4201EC0 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.273621] A4201EE0 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.282264] A4201F00 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.290893] A4201F20 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.299536] A4201F40 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.308166] A4201F60 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.316809] A4201F80 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.325444] A4201FA0 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.334078] A4201FC0 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.342752] A4201FE0 : 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
[   41.351382]
[   41.352988] Dump Level is 2, dump 3 valid record in link queue:
[   41.358933] Link record 0: [A4202440 - A4202468] from command 00000000 00000000 pid 1 (init):
[   41.367494] Not found
[   41.369786]
[   41.371379] Link record 1: [A4202840 - A4202880] from command 00000000 00000000 pid 1 (init):
[   41.379938] A4202840 : 08010E02 00000701 48000000 00000701 08010594 00000001 0801022C 0000001F
[   41.388568] A4202860 : 08015311 00000000 08010E02 00000701 48000000 00000701 10000000 00000000
[   41.397210]
[   41.398804] Link record 2: [A4202440 - A4202468] from command 00000000 00000000 pid 9 (kworker/u8:1):
[   41.408054] Not found
[   41.410344]
[   41.411935] [galcore]: Stop driver to keep scene.
[   48.413626] mke2fs: Discarding device blocks:  6819840/13816320
[   48.414581] mke2fs: Creating filesystem with 13816320 4k blocks and 3457024 inodes
[   48.467840] mke2fs: Filesystem UUID: 2a79d140-c340-40f6-9bb4-a66c572fc7f4
[   48.474648] mke2fs: Superblock backups stored on blocks:
[   48.480056] mke2fs:  32768, 98304, 163840, 229376, 294912, 819200, 884736, 1605632, 2654208,
[   48.488608] mke2fs:  4096000, 7962624, 11239424
[   48.493150] mke2fs: 
evk_8mp:/ $ df -h
vail Use% Mounted on
tmpfs                1.6G  804K  1.6G   1% /dev
tmpfs                1.6G     0  1.6G   0% /mnt
/dev/block/dm-4      953M  950M     0 100% /
/dev/block/dm-5      214M  214M     0 100% /product
/dev/block/dm-6      110M  109M     0 100% /system_ext
/dev/block/dm-7      546M  544M     0 100% /vendor
tmpfs                1.6G     0  1.6G   0% /apex
tmpfs                1.6G  252K  1.6G   1% /linkerconfig/dev/block/dm-9       50G   20M  50G   1% /data

修改后我们通过df -h命令查看 可以看到可用空间为50g，总空间也变为了64G，所以我们的修改是ok的，所以下一步就是解决BUG，也就是串口打印的报错问题，以及不能投屏的问题。这里我目前的方法是通过命令重启一次开发板，就可以正常使用，但是这中操作显然是不合规矩的。

在网上百度了半天，终于在nxp的官网上看到了相关的文章，对应的连接，我放在了最上方，但是同样的问题还是会出现，所以emm继续找方法吧。而且经过实验，我的emmc好像只有16G才能一次成功的启动，32G与64G都不行，都需要去修改。头疼！！
目前还没有找到方法，后续如果有了方法我再补充！

二、bug解决

通过对错误log的代码跟踪，定位到对应错误的代码
代码目录：

kernel_imx/drivers/mxc/gpu-viv/hal/kernel/gc_hal_kernel.c

通过添加打印

            if (_status == gcvSTATUS_OK){gckOS_ReleaseMutex(kernel->os, kernel->device->recoveryMutex);}}else
#endif{/*函数进入到了这里，调用gckKERNEL_Recovery（）函数，导致打出对应的错误log*/gckKERNEL_Recovery(kernel);/* Work in this timeout is done. */kernel->monitoring = gcvFALSE;}}gcmkVERIFY_OK(gckOS_StartTimer(kernel->os, kernel->monitorTimer, advance));
}
#endif

继续跟进，通过添加log，发现出现这个问题的错在 _MonitorTimerFunction 函数里面的

void
_MonitorTimerFunction(gctPOINTER Data){.......{/* GPU state is not changed, accumlate timeout. *///这里时GPU状态没有改变，导致超时kernel->timer += advance;if (kernel->timer >= kernel->timeOut){/* GPU stuck, trigger reset. *///这里时GPU复位了，从而这个返回值导致走向下面一个函数reset = gcvTRUE;}}else{/* GPU state changed, cancel current timeout.*/kernel->monitoring = gcvFALSE;}}else{/* GPU finish all jobs, cancel current timeout*/kernel->monitoring = gcvFALSE;}}if (reset)//这里超时了会走到下面这个函数里面，修改emmc后第一次启动会走到这个函数里面，后续就不会走到这个函数里面{......()}......
};

因为不知道为啥第一次GPU状态会没有改变，从而卡住导致进行复位，所以我的想法时只有第一次会进入，那么我就跳过这个函数，让他不进入这个函数里面就可以了把，所以我修改了函数的返回值，让他像第二次一样，不进入对应的函数，就可以了吧。

                if (kernel->timer >= kernel->timeOut){/* GPU stuck, trigger reset. *///这里时GPU复位了，从而这个返回值导致走向下面一个函数//reset = gcvTRUE;reset = gcvFALSE；}

吼吼！再次烧录，发现真的可以起来，对应的分区也修改正确。
但是这因该不是正确的改法，但是对与我当前项目来说，这无疑是最好的，时间紧，事情多，没有参考手册，官网支持也没有。

三、问题总结

通过对log的抓取发现，GPU的挂掉是因为超时，原因是再烧录完镜像第一次启动的过程中，会有一个安卓系统的全盘加密过程，对应的log如下：

D vold    : Copying 8 blocks at offset 27723300864
D vold    : Copying 8 blocks at offset 27723333632
D vold    : Copying 8 blocks at offset 27723366400
D vold    : Copying 8 blocks at offset 27723399168
D vold    : Copying 8 blocks at offset 27723431936
D vold    : Copying 8 blocks at offset 27723464704
D vold    : Copying 8 blocks at offset 27723497472
D vold    : Copying 8 blocks at offset 27723530240
D vold    : Copying 8 blocks at offset 27723563008
D vold    : Copying 8 blocks at offset 27723595776
D vold    : Copying 8 blocks at offset 27723628544
D vold    : Copying 8 blocks at offset 27723661312
D vold    : Copying 8 blocks at offset 27723694080
D vold    : Copying 8 blocks at offset 27723726848
D vold    : Copying 8 blocks at offset 27723759616
D vold    : Copying 8 blocks at offset 27723792384
D vold    : Copying 8 blocks at offset 27723825152
D vold    : Copying 8 blocks at offset 27723857920
D vold    : Copying 8 blocks at offset 27723890688
D vold    : Copying 8 blocks at offset 27723923456
D vold    : Copying 8 blocks at offset 27723956224
D vold    : Copying 8 blocks at offset 27723988992
D vold    : Copying 8 blocks at offset 27724021760
D vold    : Copying 8 blocks at offset 27724054528
D vold    : Copying 8 blocks at offset 27724087296
D vold    : Copying 8 blocks at offset 27724120064
D vold    : Copying 8 blocks at offset 27724152832
D vold    : Copying 8 blocks at offset 27724185600
D vold    : Copying 8 blocks at offset 27724218368
D vold    : Copying 8 blocks at offset 27724251136
D vold    : Copying 8 blocks at offset 27724283904
D vold    : Copying 8 blocks at offset 27724316672
D vold    : Copying 8 blocks at offset 27724349440
D vold    : Copying 8 blocks at offset 27724382208
D vold    : Copying 8 blocks at offset 27724414976
D vold    : Copying 8 blocks at offset 27724447744
D vold    : Copying 8 blocks at offset 27724480512
D vold    : Copying 8 blocks at offset 27724513280
D vold    : Copying 8 blocks at offset 27724546048
D vold    : Copying 8 blocks at offset 27724578816
D vold    : Copying 8 blocks at offset 27724611584
.......
D vold    : Copying 8 blocks at offset 55436050432
D vold    : Copying 8 blocks at offset 55436083200
D vold    : Copying 2 blocks at offset 55436115968
I vold    : Encrypted to sector 6929515520
D vold    : cryptfs_enable_inplace_ext4 success
I vold    : Inplace encryption complete
D vold    : Mounting metadata-encrypted filesystem:/data

可能是因为修改了分区过后，导致分区较大，加密的时间比较长，所以才会导致GPU挂掉，重启过后，再次抓取log，发现并没有对应的加密过程，所以才会顺利的起来，也时重启后开机时间比较快的原因之一吧。

nxp修改emmc分区大小(BUG和对应的修改)相关推荐

  1. 修改sh文件_修改Android分区大小

    文档说明 本文档以SC826-CN-01(MSM8953平台)为例,描述如何修改Android系统的Cache分区大小. 默认代码Cache分区大小为256M,下面我们修改为512M. 相关文件路径 ...

  2. 高通平台修改Cache分区大小

    文档说明 本文档以SC826-CN-01(MSM8953平台)为例,描述如何修改Android系统的Cache分区大小. 默认代码Cache分区大小为256M,下面我们修改为512M. 相关文件路径 ...

  3. Ubuntu 18.04 修改swap分区大小

    Ubuntu 18.04 修改swap分区大小 1.查看初始状态 查看原先swap大小 root@gpu-2:~# free -h总计 已用 空闲 共享 缓冲/缓存 可用 内存: 62G 417M 3 ...

  4. linux修改swap分区大小2GB,Linux下修改Swap分区大小

    据了解Linux下可以有两种方法创建交换空间,一种是创建交换分区,另一种是创建交换文件.本文记录的是创建交换文件的方法,因为我用的是这种方法.. 添加交换文件步骤: 1.找个地方创建一个.swap的文 ...

  5. A40i/T3修改根分区大小

    修改分区大小,将根分区改为2G,需要修改三个文件: lichee/tools/pack/chips/sun8iw11p1/configs/default/sys_partition_linux.fex ...

  6. Android系统修改userdata分区大小

    问题描述 Android设备烧录版本后开机,查看存储空间大小不符合Flash实际大小,当恢复出厂设置后,存储空间显示正常. 问题分析 <1> 每次烧录手机的时候,是将userdata.im ...

  7. Linux下修改Swap分区大小

    据了解Linux下可以有两种方法创建交换空间,一种是创建交换分区,另一种是创建交换文件.本文记录的是创建交换文件的方法,因为我用的是这种方法.. 添加交换文件步骤:  1.找个地方创建一个.swap的 ...

  8. 使用gparted修改ubuntu分区大小

    环境:ubuntu14.04 LTS 起初安装系统时只给 / (根目录)分配了10G空间,结果因为装了一大堆相关库.软件.根目录只剩下90M左右.. 然后上网查增加分区的方法,发现gparted这个软 ...

  9. linux 修改无损分区大小,CentOS 7.6无损调整分区大小

    挂载在根目录的分区 /dev/mapper/centos-root 爆满,占用 100% $ df -h Filesystem Size Used Avail Use% Mounted on /dev ...

最新文章

  1. UIWebView之获取所点位置图片URL
  2. postgresql存图片字段类型_PostgreSQL 入门 | Linux 中国
  3. MPB：生态环境中心韩丽丽等-土壤病毒组富集及DNA提取
  4. PHP无限极分类原理
  5. C语言--在终端输入多行信息，找出包含“ould”的行，并打印改行
  6. vbs隐藏cmd命令窗口调用bat程序执行class
  7. python sdweather_爬虫框架抓取练习-JMU SD weatherspider,scrapy,jmusdWeatherSpider
  8. 测绘计算机编程在在道路中的应用,CASIO系列编程计算器在公路测量中的应用.doc...
  9. python连接sql sever_R和python连接SQL sever 数据库操作
  10. Clojure 的 Enlive 库尝试
  11. 后台扫描工具 - 御剑（珍藏版）附下载
  12. 电工结业试卷_维修电工技师二级难吗考试内容怎么样
  13. cad2020打印样式放在哪个文件夹_CAD图形打印相关问题！
  14. matlab锥圆球体_MATLAB锥齿轮设计
  15. 2018年年底PC浏览器使用率
  16. 德州大学计算机系郭小虎2021,2021美国德州农工大学PhD项目
  17. uiuc的计算机工程硕士学费标准,美国计算机硕士留学费用全都在这了！
  18. Python 动态加载并下载梨视频短视频
  19. F014-正本清源话通缩 #F1175
  20. js实现html网页页面多语言化

热门文章

  1. Nebula offline解决
  2. 2022年中职网络空间赛项A模块总和（所有答案都有）
  3. kivy mysql_Kivy中文显示
  4. 4.3 概率判别式模型（PRML读书笔记）
  5. CodeForces - 622E Ants in Leaves 贪心
  6. 老婆最近陷入苦恼，连续几个晚上都没睡好
  7. mlr3绘制校准曲线
  8. 什么是事务？事务的四大特性是什么？
  9. PyTorch之CIFAR10
  10. 基于jsp学生考勤管理系统设计